diff --git a/.cspell.json b/.cspell.json
index 821d7bafd22..c324d7e6c1c 100644
--- a/.cspell.json
+++ b/.cspell.json
@@ -16,6 +16,8 @@
   ],
   "ignorePaths": [
     "**/*.js",
+    "**/*.mjs",
+    "**/*.css",
     "**/*.pyc",
     "**/*.log",
     "**/*.jsonl",
@@ -23,16 +25,23 @@
     "**/*.txt",
     ".gitignore",
     "scripts/docs/_build/**",
-    "src/promptflow/promptflow/azure/_restclient/flow/**",
-    "src/promptflow/promptflow/azure/_restclient/swagger.json",
-    "src/promptflow/promptflow/azure/_models/**",
+    "src/promptflow-azure/promptflow/azure/_restclient/flow/**",
+    "src/promptflow-azure/promptflow/azure/_restclient/swagger.json",
+    "src/promptflow-azure/promptflow/azure/_models/**",
+    "src/promptflow-azure/tests/**",
+    "src/promptflow-core/promptflow/core/_connection_provider/_models/**",
     "src/promptflow/tests/**",
+    "src/promptflow-recording/**",
     "src/promptflow-tools/tests/**",
+    "src/promptflow-devkit/promptflow/_sdk/_service/static/index.html",
     "**/flow.dag.yaml",
+    "**/pyproject.toml",
     "**/setup.py",
     "scripts/installer/curl_install_pypi/**",
     "scripts/installer/windows/**",
-    "src/promptflow/promptflow/_sdk/_service/pfsvc.py"
+    ".github/workflows/**",
+    ".github/actions/**",
+    ".github/pipelines/**"
   ],
   "words": [
     "aoai",
@@ -84,7 +93,6 @@
     "nunit",
     "astext",
     "Likert",
-    "pfsvc",
     "geval",
     "Summ",
     "Bhavik",
@@ -180,7 +188,8 @@
     "addrs",
     "pywin",
     "STARTF",
-    "mltable"
+    "mltable",
+    "setenv"
   ],
   "flagWords": [
     "Prompt Flow"
diff --git a/.github/CODEOWNERS b/.github/CODEOWNERS
index 712b2d8ad3e..f84cfdc5e4c 100644
--- a/.github/CODEOWNERS
+++ b/.github/CODEOWNERS
@@ -1,18 +1,24 @@
 * @microsoft/prompt-flow-approvers
 
-/src/promptflow/promptflow/_core/ @microsoft/promptflow-execution
-/src/promptflow/promptflow/_internal/ @microsoft/promptflow-execution
-/src/promptflow/promptflow/batch/ @microsoft/promptflow-execution
-/src/promptflow/promptflow/executor/ @microsoft/promptflow-execution
-/src/promptflow/promptflow/integrations/ @microsoft/promptflow-execution
-/src/promptflow/promptflow/storage/ @microsoft/promptflow-execution
+/src/promptflow-tracing/promptflow/tracing/_start_trace.py @microsoft/promptflow-sdk
+
+/src/promptflow-tracing/promptflow/tracing/ @microsoft/promptflow-execution
+/src/promptflow-core/promptflow/_core/ @microsoft/promptflow-execution
+/src/promptflow-devkit/promptflow/_internal/ @microsoft/promptflow-execution
+/src/promptflow-devkit/promptflow/batch/ @microsoft/promptflow-execution
+/src/promptflow-devkit/promptflow/_proxy/ @microsoft/promptflow-execution
+/src/promptflow-core/promptflow/executor/ @microsoft/promptflow-execution
+/src/promptflow-core/promptflow/integrations/ @microsoft/promptflow-execution
+/src/promptflow-core/promptflow/storage/ @microsoft/promptflow-execution
 /src/promptflow/tests/executor/ @microsoft/promptflow-execution
 
-/src/promptflow/promptflow/_cli/ @microsoft/promptflow-sdk
-/src/promptflow/promptflow/_sdk/ @microsoft/promptflow-sdk
-/src/promptflow/promptflow/azure/ @microsoft/promptflow-sdk
-/src/promptflow/promptflow/entities/ @microsoft/promptflow-sdk
-/src/promptflow/promptflow/operations/ @microsoft/promptflow-sdk
+/src/promptflow-core/promptflow/core/ @microsoft/promptflow-sdk
+/src/promptflow-devkit/promptflow/_cli/ @microsoft/promptflow-sdk
+/src/promptflow-devkit/promptflow/_sdk/ @microsoft/promptflow-sdk
+/src/promptflow-devkit/promptflow/_proxy/ @microsoft/promptflow-sdk
+/src/promptflow-devkit/promptflow/entities/ @microsoft/promptflow-sdk
+/src/promptflow-devkit/promptflow/operations/ @microsoft/promptflow-sdk
+/src/promptflow-azure/promptflow/azure/ @microsoft/promptflow-sdk
 /src/promptflow/tests/sdk_cli_test/ @microsoft/promptflow-sdk
 /src/promptflow/tests/sdk_cli_azure_test/ @microsoft/promptflow-sdk
 /src/promptflow/tests/sdk_cli_global_config_test/ @microsoft/promptflow-sdk
diff --git a/.github/actions/step_create_python_environment/action.yml b/.github/actions/step_create_python_environment/action.yml
index d5ec17972af..aa345143b25 100644
--- a/.github/actions/step_create_python_environment/action.yml
+++ b/.github/actions/step_create_python_environment/action.yml
@@ -12,9 +12,10 @@ runs:
   using: composite
   steps:
   - name: Set up Python
-    uses: actions/setup-python@v4
+    uses: actions/setup-python@v5
     with:
       python-version: ${{ inputs.pythonVersion }}
+  - uses: snok/install-poetry@v1
   - run: |
       python -m pip install --upgrade pip
       pip install -r ${{ inputs.pipFilePath }}
diff --git a/.github/actions/step_sdk_setup/action.yml b/.github/actions/step_sdk_setup/action.yml
index a82ab436051..e12e803b84c 100644
--- a/.github/actions/step_sdk_setup/action.yml
+++ b/.github/actions/step_sdk_setup/action.yml
@@ -16,20 +16,6 @@ runs:
     shell: pwsh
     run: |
       pip uninstall -y promptflow promptflow-sdk promptflow-tools
-  - name: 'Build and install: promptflow with extra'
-    if: inputs.setupType == 'promptflow_with_extra'
-    shell: pwsh
-    run: |
-      Set-PSDebug -Trace 1
-      pip install -r ./dev_requirements.txt
-      echo "########### pip list (Before) ###########"
-      pip list
-      python ./setup.py bdist_wheel
-      $package = Get-ChildItem ./dist | ? { $_.Name.Contains('.whl')}
-      pip install $($package.FullName + "[azure,executable,azureml-serving,executor-service]")
-      echo "########### pip freeze (After) ###########"
-      pip freeze
-    working-directory: ${{ inputs.scriptPath }}
   - name: 'Build and install: promptflow-sdk'
     if: inputs.setupType == 'promptflow_dev'
     shell: pwsh
@@ -52,3 +38,17 @@ runs:
       echo "########### pip freeze (After) ###########"
       pip freeze
     working-directory: src/promptflow-tools
+  - name: 'Build and install: promptflow with extra'
+    if: inputs.setupType == 'promptflow_with_extra'
+    shell: pwsh
+    run: |
+      Set-PSDebug -Trace 1
+      pip install -r ./dev_requirements.txt
+      echo "########### pip list (Before) ###########"
+      pip list
+      python ./setup.py bdist_wheel
+      $package = Get-ChildItem ./dist | ? { $_.Name.Contains('.whl')}
+      pip install --force-reinstall $($package.FullName + "[azure,executable,azureml-serving,executor-service]")
+      echo "########### pip freeze (After) ###########"
+      pip freeze
+    working-directory: ${{ inputs.scriptPath }}
diff --git a/.github/labeler.yml b/.github/labeler.yml
index d77bf2e3841..f158507625d 100644
--- a/.github/labeler.yml
+++ b/.github/labeler.yml
@@ -3,21 +3,23 @@ examples:
 documentation:
 - docs/**
 cli:
-- src/promptflow/promptflow/_cli/**
+- src/promptflow-devkit/promptflow/_cli/**
 sdk:
-- src/promptflow/promptflow/_sdk/**
-- src/promptflow/promptflow/azure/**
+- src/promptflow-devkit/promptflow/_sdk/**
+- src/promptflow-azure/promptflow/azure/**
 promptflow:
-- src/promptflow/**
+- src/promptflow-core/**
+promptflow-tracing:
+- src/promptflow-tracing/**
 promptflow-tools:
 - src/promptflow-tools/**
 executor:
-- src/promptflow/promptflow/batch/**
-- src/promptflow/promptflow/executor/**
-- src/promptflow/promptflow/_core/**
-- src/promptflow/promptflow/_internal/**
-- src/promptflow/promptflow/integrations/**
-- src/promptflow/promptflow/storage/**
+- src/promptflow-devkit/promptflow/batch/**
+- src/promptflow-core/promptflow/executor/**
+- src/promptflow-core/promptflow/_core/**
+- src/promptflow-devkit/promptflow/_internal/**
+- src/promptflow-core/promptflow/integrations/**
+- src/promptflow-core/promptflow/storage/**
 - src/promptflow/tests/executor/**
 fundamental:
 - scripts/**
diff --git a/.github/workflows/build_doc_ci.yml b/.github/workflows/build_doc_ci.yml
index 41432fbcacf..48cb7045dcb 100644
--- a/.github/workflows/build_doc_ci.yml
+++ b/.github/workflows/build_doc_ci.yml
@@ -5,13 +5,15 @@ on:
   pull_request:
     branches:
       - main
-      - preview/docs
     paths:
       - 'README.md'
       - 'docs/**'
       - 'scripts/docs/**'
       - '.github/workflows/build_doc_ci.yml'
-      - 'src/promptflow/promptflow/**'
+      - 'src/promptflow-tracing/promptflow/**'
+      - 'src/promptflow-core/promptflow/**'
+      - 'src/promptflow-devkit/promptflow/**'
+      - 'src/promptflow-azure/promptflow/**'
 
 env:
   packageSetupType: promptflow_with_extra
@@ -30,11 +32,16 @@ jobs:
       - name: Python Setup
         uses: "./.github/actions/step_create_python_environment"
 
-      - name: Dev setup
-        uses: "./.github/actions/step_sdk_setup"
-        with:
-          setupType: ${{ env.packageSetupType }}
-          scriptPath: ${{ env.testWorkingDirectory }}
+      - name: Install packages
+        shell: pwsh
+        # Note: Use -e to avoid duplicate object warning when build apidoc.
+        run: |
+          pip uninstall -y promptflow-tracing promptflow-core promptflow-devkit promptflow-azure
+          pip install -e ${{ github.workspace }}/src/promptflow-tracing
+          pip install -e ${{ github.workspace }}/src/promptflow-core
+          pip install -e ${{ github.workspace }}/src/promptflow-devkit
+          pip install -e ${{ github.workspace }}/src/promptflow-azure
+          pip freeze
 
       - name: Build doc with reference doc
         shell: powershell
@@ -53,7 +60,23 @@ jobs:
         with:
           submodules: true
 
+      - name: Python Setup
+        uses: "./.github/actions/step_create_python_environment"
+
+      - name: Install packages
+        shell: pwsh
+        # Note: Use -e to avoid duplicate object warning when build apidoc.
+        run: |
+          pip uninstall -y promptflow-tracing promptflow-core promptflow-devkit promptflow-azure
+          pip install -e ${{ github.workspace }}/src/promptflow-tracing
+          pip install -e ${{ github.workspace }}/src/promptflow-core
+          pip install -e ${{ github.workspace }}/src/promptflow-devkit
+          pip install -e ${{ github.workspace }}/src/promptflow-azure
+          pip freeze
+
       - name: Build LinkCheck
         shell: powershell
         working-directory: scripts/docs/
-        run: ./doc_generation.ps1 -BuildLinkCheck -WarningAsError:$true
+        run: |-
+          pip install langchain
+          ./doc_generation.ps1 -WithReferenceDoc:$true -WarningAsError:$true -BuildLinkCheck
diff --git a/.github/workflows/build_msi_installer.yml b/.github/workflows/build_msi_installer.yml
index 5513f34ca82..27543bdc67a 100644
--- a/.github/workflows/build_msi_installer.yml
+++ b/.github/workflows/build_msi_installer.yml
@@ -1,4 +1,4 @@
-name: Build and Package MSI
+name: Build and Package MSI & Portable Installer
 
 on:
   workflow_dispatch:
@@ -74,7 +74,7 @@ jobs:
             if ($version -ne $run_version) {
               throw "Version input does not match the version in promptflow package. Version input: $version, version in promptflow package: $run_version"
             }
-          } 
+          }
           elseif ($env:MSI_PRIVATE_VERSION) {
             $version=$env:MSI_PRIVATE_VERSION
           }
@@ -108,6 +108,24 @@ jobs:
           setupType: promptflow_with_extra
           scriptPath: ${{ env.testWorkingDirectory }}
 
+      - name: Setup and Install dev promptflow
+        shell: pwsh
+        run: |
+          Set-PSDebug -Trace 1
+          pip install -r ${{ github.workspace }}/src/promptflow/dev_requirements.txt
+          pip install ${{ github.workspace }}/src/promptflow-tracing
+          pip install ${{ github.workspace }}/src/promptflow-core[executor-service,azureml-serving]
+          pip install ${{ github.workspace }}/src/promptflow-devkit[pyarrow,executable]
+          pip install ${{ github.workspace }}/src/promptflow-azure
+          echo "Should fix this after pf-core could install this dependency"
+          pip install azureml-ai-monitoring
+          pip freeze
+
+      - name: Generate promptflow spec file to config pyinstaller
+        working-directory: ${{ github.workspace }}/scripts/installer/windows/scripts
+        run: |
+          python generate_dependency.py
+          Get-Content promptflow.spec
 
       - name: Build Pyinstaller project
         working-directory: ${{ github.workspace }}/scripts/installer/windows/scripts
@@ -132,6 +150,11 @@ jobs:
           pyinstaller promptflow.spec
         shell: pwsh
 
+      - name: Generate portable promptflow
+        run: |
+          Compress-Archive -Path ${{ github.workspace }}/scripts/installer/windows/scripts/dist/promptflow -DestinationPath promptflow-${{ steps.get-version.outputs.version }}.zip
+        shell: pwsh
+
       - name: Build WIX project
         working-directory: ${{ github.workspace }}/scripts/installer/windows
         run: |
@@ -167,7 +190,7 @@ jobs:
               "promptflow" = $version
             } | ConvertTo-Json -Depth 100
             $jsonContent | Out-File -FilePath latest_version.json -Encoding UTF8
-            
+
             Write-Output "Created latest_version.json with version: $version"
             az storage blob upload --account-name promptflowartifact --container-name msi-installer --file "latest_version.json" --name "latest_version.json" --overwrite
           } else {
@@ -185,6 +208,13 @@ jobs:
             az storage blob upload --account-name promptflowartifact --container-name msi-installer --file "scripts/installer/windows/out/$($msi_file.Name)" --name "$($msi_file.Name)" --overwrite
           }
           }
+          # Upload zip file
+          if ($env:INPUT_UPLOADASLATEST -ieq 'True') {
+            az storage blob upload --account-name promptflowartifact --container-name portable-installer --file "promptflow-${{ steps.get-version.outputs.version }}.zip" --name "promptflow.zip" --overwrite
+            az storage blob copy start --account-name promptflowartifact --destination-container portable-installer --destination-blob "promptflow-${{ steps.get-version.outputs.version }}.zip" --source-container portable-installer --source-blob "promptflow.zip"
+          } else {
+            az storage blob upload --account-name promptflowartifact --container-name portable-installer --file "promptflow-${{ steps.get-version.outputs.version }}.zip" --name "promptflow-${{ steps.get-version.outputs.version }}.zip" --overwrite
+          }
         env:
           INPUT_UPLOADASLATEST: ${{ github.event.inputs.uploadAsLatest }}
         shell: pwsh
\ No newline at end of file
diff --git a/.github/workflows/flowdag_schema_check.yml b/.github/workflows/flowdag_schema_check.yml
index 0e238adebfa..52bb8332278 100644
--- a/.github/workflows/flowdag_schema_check.yml
+++ b/.github/workflows/flowdag_schema_check.yml
@@ -30,6 +30,6 @@ jobs:
           PYTHONPATH: ${{ github.workspace }}/src/promptflow
         run: |
           cd ${{ github.workspace }}/src
-          pip install -e promptflow[azure]
-          pip install -e promptflow-tools
+          pip install ./promptflow[azure]
+          pip install ./promptflow-tools
           python ${{ github.workspace }}/scripts/readme/schema_checker.py
diff --git a/.github/workflows/promptflow-core-test.yml b/.github/workflows/promptflow-core-test.yml
new file mode 100644
index 00000000000..69552f93c04
--- /dev/null
+++ b/.github/workflows/promptflow-core-test.yml
@@ -0,0 +1,85 @@
+name: promptflow-core-test [Pure]
+
+on:
+  schedule:
+    - cron: "40 18 * * *" # 2:40 Beijing Time (GMT+8) every day
+  pull_request:
+    paths:
+      - src/promptflow-core/**
+      - .github/workflows/promptflow-core-test.yml
+  workflow_dispatch:
+
+env:
+  IS_IN_CI_PIPELINE: "true"
+  TRACING_DIRECTORY: ${{ github.workspace }}/src/promptflow-tracing
+  WORKING_DIRECTORY: ${{ github.workspace }}/src/promptflow-core
+  RECORD_DIRECTORY: ${{ github.workspace }}/src/promptflow-recording
+
+jobs:
+  test:
+    strategy:
+      matrix:
+        os: [ubuntu-latest, windows-latest, macos-latest]
+        python-version: ['3.8', '3.9', '3.10', '3.11']
+      fail-fast: false
+    # snok/install-poetry need this to support Windows
+    defaults:
+      run:
+        shell: bash
+    runs-on: ${{ matrix.os }}
+    steps:
+      - uses: actions/checkout@v4
+      - uses: actions/setup-python@v5
+        with:
+          python-version: ${{ matrix.python-version }}
+      - uses: snok/install-poetry@v1
+      - name: install promptflow-tracing
+        run: poetry install
+        working-directory: ${{ env.TRACING_DIRECTORY }}
+      - name: install promptflow-core
+        run: poetry install
+        working-directory: ${{ env.WORKING_DIRECTORY }}
+      - name: install test dependency group
+        run: poetry install --only test
+        working-directory: ${{ env.WORKING_DIRECTORY }}
+      - name: install recording
+        run: poetry install
+        working-directory: ${{ env.RECORD_DIRECTORY }}
+      - name: run core tests
+        run: poetry run pytest --cov=promptflow --cov-config=pyproject.toml --cov-report=term --cov-report=html --cov-report=xml
+        working-directory: ${{ env.WORKING_DIRECTORY }}
+      - name: upload coverage report
+        uses: actions/upload-artifact@v4
+        with:
+          name: report-${{ matrix.os }}-py${{ matrix.python-version }}
+          path: |
+            ${{ env.WORKING_DIRECTORY }}/*.xml
+            ${{ env.WORKING_DIRECTORY }}/htmlcov/
+
+  report:
+    needs: test
+    runs-on: ubuntu-latest
+    permissions:
+      checks: write
+      pull-requests: write
+      contents: read
+      issues: read
+    steps:
+      - uses: actions/download-artifact@v4
+        with:
+          path: artifacts
+      - uses: EnricoMi/publish-unit-test-result-action@v2
+        with:
+          check_name: promptflow-core test result
+          comment_title: promptflow-core test result
+          files: "artifacts/**/test-results.xml"  # align with `--junit-xml` in pyproject.toml
+#     TODO: Enable coverage check after core test fully setup
+#      - uses: irongut/CodeCoverageSummary@v1.3.0
+#        with:
+#          filename: "artifacts/report-ubuntu-latest-py3.9/coverage.xml"
+#          badge: true
+#          fail_below_min: true
+#          format: markdown
+#          hide_complexity: true
+#          output: both
+#          thresholds: 40 60
diff --git a/.github/workflows/promptflow-executor-e2e-test.yml b/.github/workflows/promptflow-executor-e2e-test.yml
index 12d4472d0bd..de5a676ab23 100644
--- a/.github/workflows/promptflow-executor-e2e-test.yml
+++ b/.github/workflows/promptflow-executor-e2e-test.yml
@@ -4,6 +4,7 @@ on:
     - cron: "40 20 * * *" # Every day starting at 4:40 BJT
   pull_request_target:
     paths:
+      - src/promptflow-core/*
       - src/promptflow/*
       - src/promptflow/promptflow/*
       - src/promptflow/promptflow/_core/**
@@ -17,6 +18,7 @@ on:
       - src/promptflow/promptflow/storage/**
       - src/promptflow/tests/*
       - src/promptflow/tests/executor/**
+      - src/promptflow-tracing/promptflow/**
       - scripts/building/**
       - .github/workflows/promptflow-executor-e2e-test.yml
   workflow_dispatch:
@@ -25,6 +27,7 @@ env:
   testWorkingDirectory: ${{ github.workspace }}/src/promptflow
   PYTHONPATH: ${{ github.workspace }}/src/promptflow
   IS_IN_CI_PIPELINE: "true"
+  RECORD_DIRECTORY: ${{ github.workspace }}/src/promptflow-recording
 jobs:
   authorize:
     environment:
@@ -78,6 +81,8 @@ jobs:
         os: [ubuntu-latest]
     runs-on: ${{ matrix.os }}
     steps:
+    - name: Set test mode
+      run: echo "PROMPT_FLOW_TEST_MODE=$(if [[ "${{ github.event_name }}" == "pull_request_target" ]]; then echo replay; else echo live; fi)" >> $GITHUB_ENV
     - name: checkout
       uses: actions/checkout@v4
       with:
@@ -100,9 +105,18 @@ jobs:
       run: |
         Set-PSDebug -Trace 1
         pip install -r ${{ github.workspace }}/src/promptflow/dev_requirements.txt
-        gci ./promptflow -Recurse | % {if ($_.Name.Contains('.whl')) {python -m pip install "$($_.FullName)[executor-service]"}}
+        pip install ${{ github.workspace }}/src/promptflow-tracing
+        pip install ${{ github.workspace }}/src/promptflow-core[executor-service]
+        pip install ${{ github.workspace }}/src/promptflow-devkit
+        pip install ${{ github.workspace }}/src/promptflow-azure
+        gci ./promptflow -Recurse | % {if ($_.Name.Contains('.whl')) {python -m pip install "$($_.FullName)"}}
         gci ./promptflow-tools -Recurse | % {if ($_.Name.Contains('.whl')) {python -m pip install $_.FullName}}
         pip freeze
+    - name: install recording
+      run: |
+        pip install vcrpy
+        pip install .
+      working-directory: ${{ env.RECORD_DIRECTORY }}
     - name: Azure Login
       uses: azure/login@v1
       with:
diff --git a/.github/workflows/promptflow-executor-unit-test.yml b/.github/workflows/promptflow-executor-unit-test.yml
index 1e0b00ac4fd..d545931576f 100644
--- a/.github/workflows/promptflow-executor-unit-test.yml
+++ b/.github/workflows/promptflow-executor-unit-test.yml
@@ -4,6 +4,7 @@ on:
     - cron: "40 19 * * *" # Every day starting at 3:40 BJT
   pull_request_target:
     paths:
+      - src/promptflow-core/*
       - src/promptflow/*
       - src/promptflow/promptflow/*
       - src/promptflow/promptflow/_core/**
@@ -25,6 +26,7 @@ env:
   testWorkingDirectory: ${{ github.workspace }}/src/promptflow
   PYTHONPATH: ${{ github.workspace }}/src/promptflow
   IS_IN_CI_PIPELINE: "true"
+  RECORD_DIRECTORY: ${{ github.workspace }}/src/promptflow-recording
 jobs:
   authorize:
     environment:
@@ -78,6 +80,8 @@ jobs:
         os: [ubuntu-latest]
     runs-on: ${{ matrix.os }}
     steps:
+    - name: Set test mode
+      run: echo "PROMPT_FLOW_TEST_MODE=$(if [[ "${{ github.event_name }}" == "pull_request_target" ]]; then echo replay; else echo live; fi)" >> $GITHUB_ENV
     - name: checkout
       uses: actions/checkout@v4
       with:
@@ -105,9 +109,18 @@ jobs:
       run: |
         Set-PSDebug -Trace 1
         pip install -r ${{ github.workspace }}/src/promptflow/dev_requirements.txt
-        gci ./promptflow -Recurse | % {if ($_.Name.Contains('.whl')) {python -m pip install "$($_.FullName)[executor-service]"}}
+        pip install ${{ github.workspace }}/src/promptflow-tracing
+        pip install ${{ github.workspace }}/src/promptflow-core[executor-service]
+        pip install ${{ github.workspace }}/src/promptflow-devkit
+        pip install ${{ github.workspace }}/src/promptflow-azure
+        gci ./promptflow -Recurse | % {if ($_.Name.Contains('.whl')) {python -m pip install "$($_.FullName)"}}
         gci ./promptflow-tools -Recurse | % {if ($_.Name.Contains('.whl')) {python -m pip install $_.FullName}}
         pip freeze
+    - name: install recording
+      run: |
+        pip install vcrpy
+        pip install .
+      working-directory: ${{ env.RECORD_DIRECTORY }}
     - name: Azure Login
       uses: azure/login@v1
       with:
diff --git a/.github/workflows/promptflow-global-config-test.yml b/.github/workflows/promptflow-global-config-test.yml
index 748cb019b48..fe00424371c 100644
--- a/.github/workflows/promptflow-global-config-test.yml
+++ b/.github/workflows/promptflow-global-config-test.yml
@@ -4,6 +4,7 @@ on:
     - cron: "40 18 * * *" # Every day starting at 2:40 BJT
   pull_request_target:
     paths:
+      - src/promptflow-core/*
       - src/promptflow/**
       - scripts/building/**
       - .github/workflows/promptflow-global-config-test.yml
@@ -60,6 +61,19 @@ jobs:
       with:
         setupType: ${{ env.packageSetupType }}
         scriptPath: ${{ env.testWorkingDirectory }}
+    - name: Install dependency
+      shell: pwsh
+      run: |
+        pip uninstall -y promptflow-tracing
+        pip install ${{ github.workspace }}/src/promptflow-tracing
+        echo "Installed promptflow-tracing"
+        pip uninstall -y promptflow-core
+        pip install ${{ github.workspace }}/src/promptflow-core
+        pip uninstall -y promptflow-devkit
+        pip install ${{ github.workspace }}/src/promptflow-devkit
+        pip uninstall -y promptflow-azure
+        pip install ${{ github.workspace }}/src/promptflow-azure
+        pip freeze
     - name: Azure Login
       uses: azure/login@v1
       with:
diff --git a/.github/workflows/promptflow-import-linter.yml b/.github/workflows/promptflow-import-linter.yml
new file mode 100644
index 00000000000..4e2877b436d
--- /dev/null
+++ b/.github/workflows/promptflow-import-linter.yml
@@ -0,0 +1,56 @@
+name: promptflow-import-linter
+
+on:
+  pull_request:
+    paths:
+      - src/promptflow-tracing/**
+      - src/promptflow-core/**
+      - src/promptflow-devkit/**
+      - src/promptflow-azure/**
+      - .github/workflows/promptflow-import-linter.yml
+  workflow_dispatch:
+
+env:
+  WORKING_DIRECTORY: ${{ github.workspace }}
+
+jobs:
+  build:
+    runs-on: ubuntu-latest
+    steps:
+    - uses: actions/checkout@v4
+    - name: Set up Python 3.11
+      uses: actions/setup-python@v5
+      with:
+        python-version: 3.11
+    - uses: snok/install-poetry@v1
+    - name: Install all packages
+      run: |
+        cd ${{ env.WORKING_DIRECTORY }}/src/promptflow-tracing
+        touch promptflow/__init__.py
+        poetry install --with dev
+        cd ${{ env.WORKING_DIRECTORY }}/src/promptflow-core
+        touch promptflow/__init__.py
+        poetry install --with dev
+        cd ${{ env.WORKING_DIRECTORY }}/src/promptflow-devkit
+        touch promptflow/__init__.py
+        poetry install --with dev
+        cd ${{ env.WORKING_DIRECTORY }}/src/promptflow-azure
+        touch promptflow/__init__.py
+        poetry install --with dev
+      working-directory: ${{ env.WORKING_DIRECTORY }}
+    - name: import lint
+      run: |
+        echo "=== Running import lint in promptflow-tracing ==="
+        cd ${{ env.WORKING_DIRECTORY }}/src/promptflow-tracing
+        poetry run lint-imports
+        echo "=== Running import lint in promptflow-core ==="
+        cd ${{ env.WORKING_DIRECTORY }}/src/promptflow-core
+        poetry run lint-imports
+        echo "=== Running import lint in promptflow-devkit ==="
+        cd ${{ env.WORKING_DIRECTORY }}/src/promptflow-devkit
+        poetry run lint-imports
+        echo "=== Running import lint in promptflow-azure ==="
+        cd ${{ env.WORKING_DIRECTORY }}/src/promptflow-azure
+        poetry run lint-imports
+      working-directory: ${{ env.WORKING_DIRECTORY }}
+
diff --git a/.github/workflows/promptflow-release-testing-matrix.yml b/.github/workflows/promptflow-release-testing-matrix.yml
index cc76ecfa63e..172dad4828d 100644
--- a/.github/workflows/promptflow-release-testing-matrix.yml
+++ b/.github/workflows/promptflow-release-testing-matrix.yml
@@ -14,8 +14,10 @@ on:
         type: string
 env:
   testWorkingDirectory: src/promptflow
-  PYTHONPATH: ${{ github.workspace }}/src/promptflow
   IS_IN_CI_PIPELINE: "true"
+  RECORD_DIRECTORY: ${{ github.workspace }}/src/promptflow-recording
+  TRACING_PATH: ${{ github.workspace }}/src/promptflow-tracing
+  PROMPT_FLOW_WORKSPACE_NAME: "promptflow-eastus"
 jobs:
   id:
     runs-on: ubuntu-latest
@@ -44,6 +46,7 @@ jobs:
         path: |
           ${{ github.workspace }}/src/promptflow/dist/*.whl
           ${{ github.workspace }}/src/promptflow-tools/dist/*.whl
+
   promptflow_sdk_cli_tests:
     if: ${{ github.event_name == 'workflow_dispatch' || github.event_name == 'workflow_call' || github.event_name == 'pull_request' }}
     needs: build
@@ -71,6 +74,11 @@ jobs:
       with:
         name: wheel
         path: artifacts
+    - name: install recording
+      run:
+        pip install vcrpy
+        pip install -e .
+      working-directory: ${{ env.RECORD_DIRECTORY }}
     - name: Azure Login
       uses: azure/login@v1
       if: env.PROMPT_FLOW_TEST_MODE == 'live'
@@ -92,8 +100,13 @@ jobs:
       working-directory: artifacts
       run: |
         pip install -r ${{ github.workspace }}/src/promptflow/dev_requirements.txt
+        pip uninstall -y promptflow-core promptflow-devkit promptflow-tracing
+        pip install ${{ github.workspace }}/src/promptflow-tracing
+        pip install ${{ github.workspace }}/src/promptflow-core
+        pip install ${{ github.workspace }}/src/promptflow-devkit[pyarrow]
+        pip install ${{ github.workspace }}/src/promptflow-azure
         gci ./promptflow -Recurse | % {if ($_.Name.Contains('.whl')) {python -m pip install "$($_.FullName)"}}
-        gci ./promptflow-tools -Recurse | % {if ($_.Name.Contains('.whl')) {python -m pip install $_.FullName}}
+        gci ./promptflow-tools -Recurse | % {if ($_.Name.Contains('.whl')) {python -m pip install "$($_.FullName)"}}
         pip freeze
     - name: Run SDK CLI Test
       shell: pwsh
@@ -155,6 +168,11 @@ jobs:
       with:
         name: wheel
         path: artifacts
+    - name: install recording
+      run: |
+        pip install vcrpy
+        pip install -e .
+      working-directory: ${{ env.RECORD_DIRECTORY }}
     - name: Azure Login
       uses: azure/login@v1
       if: env.PROMPT_FLOW_TEST_MODE == 'live'
@@ -170,6 +188,11 @@ jobs:
       working-directory: artifacts
       run: |
         pip install -r ${{ github.workspace }}/src/promptflow/dev_requirements.txt
+        pip uninstall -y promptflow-core promptflow-devkit promptflow-azure promptflow-tracing
+        pip install ${{ github.workspace }}/src/promptflow-tracing
+        pip install ${{ github.workspace }}/src/promptflow-core
+        pip install ${{ github.workspace }}/src/promptflow-devkit[pyarrow]
+        pip install ${{ github.workspace }}/src/promptflow-azure
         gci ./promptflow -Recurse | % {if ($_.Name.Contains('.whl')) {python -m pip install "$($_.FullName)[azure]"}}
         gci ./promptflow-tools -Recurse | % {if ($_.Name.Contains('.whl')) {python -m pip install "$($_.FullName)"}}
         pip freeze
@@ -214,6 +237,11 @@ jobs:
       with:
         name: wheel
         path: artifacts
+    - name: install recording
+      run: |
+        pip install vcrpy
+        pip install -e .
+      working-directory: ${{ env.RECORD_DIRECTORY }}
     - name: Azure Login
       uses: azure/login@v1
       with:
@@ -227,8 +255,13 @@ jobs:
       working-directory: artifacts
       run: |
         pip install -r ${{ github.workspace }}/src/promptflow/dev_requirements.txt
+        pip uninstall -y promptflow-core promptflow-devkit promptflow-tracing
+        pip install ${{ github.workspace }}/src/promptflow-tracing
+        pip install ${{ github.workspace }}/src/promptflow-core
+        pip install ${{ github.workspace }}/src/promptflow-devkit[pyarrow]
+        pip install ${{ github.workspace }}/src/promptflow-azure
         gci ./promptflow -Recurse | % {if ($_.Name.Contains('.whl')) {python -m pip install "$($_.FullName)[azure,executor-service]"}}
-        gci ./promptflow-tools -Recurse | % {if ($_.Name.Contains('.whl')) {python -m pip install $_.FullName}}
+        gci ./promptflow-tools -Recurse | % {if ($_.Name.Contains('.whl')) {python -m pip install "$($_.FullName)"}}
         pip freeze
     - name: Run Executor Test
       shell: pwsh
@@ -248,6 +281,53 @@ jobs:
       with:
         name: promptflow_executor_tests Test Results (Python ${{ matrix.pythonVersion }}) (OS ${{ matrix.os }})
         path: ${{ github.workspace }}/*.xml
+  promptflow_core_tests:
+    if: ${{ github.event_name == 'workflow_dispatch' || github.event_name == 'workflow_call' || github.event_name == 'pull_request' }}
+    needs: build
+    strategy:
+      fail-fast: false
+      matrix:
+        os: [ubuntu-latest, windows-latest, macos-latest]
+        pythonVersion: ['3.8', '3.9', '3.10', '3.11']
+    # snok/install-poetry need this to support Windows
+    defaults:
+      run:
+        shell: bash
+    runs-on: ${{ matrix.os }}
+    steps:
+      - uses: actions/checkout@v4
+      - uses: actions/setup-python@v5
+        with:
+          python-version: ${{ matrix.python-version }}
+      - uses: snok/install-poetry@v1
+      - name: install promptflow-tracing
+        run: poetry install
+        working-directory: ${{ github.workspace }}/src/promptflow-tracing
+      - name: install promptflow-core
+        run: poetry install
+        working-directory: ${{ github.workspace }}/src/promptflow-core
+      - name: install test dependency group
+        run: poetry install --only test
+        working-directory: ${{ github.workspace }}/src/promptflow-core
+      - name: install recording
+        run: poetry install
+        working-directory: ${{ github.workspace }}/src/promptflow-recording
+      - name: run core tests
+        run: poetry run pytest --cov=promptflow --cov-config=pyproject.toml --cov-report=term --cov-report=html --cov-report=xml
+        working-directory: ${{ github.workspace }}/src/promptflow-core
+      - name: upload coverage report
+        uses: actions/upload-artifact@v4
+        with:
+          name: report-${{ matrix.os }}-py${{ matrix.python-version }}
+          path: |
+            ${{ env.WORKING_DIRECTORY }}/*.xml
+            ${{ env.WORKING_DIRECTORY }}/htmlcov/
+      - name: Upload pytest test results (Python ${{ matrix.pythonVersion }}) (OS ${{ matrix.os }})
+        if: ${{ always() }}
+        uses: actions/upload-artifact@v3
+        with:
+          name: promptflow_core_tests Test Results (Python ${{ matrix.pythonVersion }}) (OS ${{ matrix.os }})
+          path: ${{ github.workspace }}/*.xml
   publish-test-results:
     name: "Publish Tests Results"
     needs: [ promptflow_sdk_cli_tests, promptflow_sdk_cli_azure_tests, promptflow_executor_tests ]
diff --git a/.github/workflows/promptflow-sdk-cli-test.yml b/.github/workflows/promptflow-sdk-cli-test.yml
index c52fa7db73f..d3077da1201 100644
--- a/.github/workflows/promptflow-sdk-cli-test.yml
+++ b/.github/workflows/promptflow-sdk-cli-test.yml
@@ -4,7 +4,10 @@ on:
     - cron: "40 18 * * *" # Every day starting at 2:40 BJT
   pull_request:
     paths:
+      - src/promptflow-core/**
+      - src/promptflow-devkit/**
       - src/promptflow/**
+      - src/promptflow-tracing/**
       - scripts/building/**
       - .github/workflows/promptflow-sdk-cli-test.yml
   workflow_dispatch:
@@ -13,6 +16,7 @@ env:
   testWorkingDirectory: ${{ github.workspace }}/src/promptflow
   PYTHONPATH: ${{ github.workspace }}/src/promptflow
   IS_IN_CI_PIPELINE: "true"
+  RECORD_DIRECTORY: ${{ github.workspace }}/src/promptflow-recording
 jobs:
   build:
     strategy:
@@ -76,9 +80,17 @@ jobs:
       run: |
         Set-PSDebug -Trace 1
         pip install -r ${{ github.workspace }}/src/promptflow/dev_requirements.txt
-        gci ./promptflow -Recurse | % {if ($_.Name.Contains('.whl')) {python -m pip install "$($_.FullName)"}}
+        pip install ${{ github.workspace }}/src/promptflow-tracing
+        pip install ${{ github.workspace }}/src/promptflow-core
+        pip install ${{ github.workspace }}/src/promptflow-devkit[pyarrow]
+        pip install ${{ github.workspace }}/src/promptflow
         gci ./promptflow-tools -Recurse | % {if ($_.Name.Contains('.whl')) {python -m pip install $_.FullName}}
         pip freeze
+    - name: install recording
+      run: |
+        pip install vcrpy
+        pip install .
+      working-directory: ${{ env.RECORD_DIRECTORY }}
     - name: Azure login (non pull_request workflow)
       if: github.event_name != 'pull_request'
       uses: azure/login@v1
@@ -112,9 +124,7 @@ jobs:
       working-directory: artifacts
       run: |
         Set-PSDebug -Trace 1
-        pip uninstall -y promptflow promptflow-sdk promptflow-tools
-        gci ./promptflow -Recurse | % {if ($_.Name.Contains('.whl')) {python -m pip install "$($_.FullName)[executable]"}}
-        gci ./promptflow-tools -Recurse | % {if ($_.Name.Contains('.whl')) {python -m pip install $_.FullName}}
+        pip install ${{ github.workspace }}/src/promptflow-devkit[pyarrow,executable]
         pip freeze
     - name: Run SDK CLI Executable Test
       shell: pwsh
@@ -126,15 +136,6 @@ jobs:
           -l eastus `
           -m "unittest or e2etest" `
           -o "${{ env.testWorkingDirectory }}/test-results-sdk-cli-executable.xml"
-    - name: Install pfs
-      shell: pwsh
-      working-directory: artifacts
-      run: |
-        Set-PSDebug -Trace 1
-        pip uninstall -y promptflow promptflow-sdk promptflow-tools
-        gci ./promptflow -Recurse | % {if ($_.Name.Contains('.whl')) {python -m pip install "$($_.FullName)[azure]"}}
-        gci ./promptflow-tools -Recurse | % {if ($_.Name.Contains('.whl')) {python -m pip install $_.FullName}}
-        pip freeze
     - name: Run PFS Test
       shell: pwsh
       working-directory: ${{ env.testWorkingDirectory }}
@@ -178,4 +179,4 @@ jobs:
         osVersion: ubuntu-latest
         pythonVersion: 3.9
         coverageThreshold: 40
-        context: test/sdk_cli
+        context: test/sdk_cli
\ No newline at end of file
diff --git a/.github/workflows/promptflow-tracing-e2e-test.yml b/.github/workflows/promptflow-tracing-e2e-test.yml
new file mode 100644
index 00000000000..71a8316a376
--- /dev/null
+++ b/.github/workflows/promptflow-tracing-e2e-test.yml
@@ -0,0 +1,104 @@
+name: promptflow-tracing-e2e-test
+
+on:
+  schedule:
+    - cron: "40 18 * * *" # 2:40 Beijing Time (GMT+8) every day
+  pull_request:
+    paths:
+      - src/promptflow-tracing/**
+      - .github/workflows/promptflow-tracing-e2e-test.yml
+  workflow_dispatch:
+
+env:
+  IS_IN_CI_PIPELINE: "true"
+  WORKING_DIRECTORY: ${{ github.workspace }}/src/promptflow-tracing
+  RECORD_DIRECTORY: ${{ github.workspace }}/src/promptflow-recording
+
+jobs:
+  build:
+    runs-on: ubuntu-latest
+    steps:
+    - uses: actions/checkout@v4
+    - uses: snok/install-poetry@v1
+    - name: build
+      run: poetry build
+      working-directory: ${{ env.WORKING_DIRECTORY }}
+    - uses: actions/upload-artifact@v4
+      with:
+        name: promptflow-tracing
+        path: ${{ env.WORKING_DIRECTORY }}/dist/promptflow_tracing-*.whl
+
+  test:
+    needs: build
+    strategy:
+      matrix:
+        os: [ubuntu-latest, windows-latest, macos-latest]
+        python-version: ['3.8', '3.9', '3.10', '3.11']
+      fail-fast: false
+    # snok/install-poetry need this to support Windows
+    defaults:
+      run:
+        shell: bash
+    runs-on: ${{ matrix.os }}
+    steps:
+      - uses: actions/checkout@v4
+      - name: set test mode
+        run: echo "PROMPT_FLOW_TEST_MODE=$(if [[ "${{ github.event_name }}" == "pull_request" ]]; then echo replay; else echo live; fi)" >> $GITHUB_ENV
+      - uses: actions/setup-python@v5
+        with:
+          python-version: ${{ matrix.python-version }}
+      - uses: snok/install-poetry@v1
+      - uses: actions/download-artifact@v4
+        with:
+          name: promptflow-tracing
+          path: ${{ env.WORKING_DIRECTORY }}
+      - name: install promptflow-tracing from wheel
+        # wildcard expansion (*) does not work in Windows, so leverage python to find and install
+        run: poetry run pip install $(python -c "import glob; print(glob.glob('promptflow_tracing-*.whl')[0])")
+        working-directory: ${{ env.WORKING_DIRECTORY }}
+      - name: install test dependency group
+        run: poetry install --only test
+        working-directory: ${{ env.WORKING_DIRECTORY }}
+      - name: install recording
+        run: poetry install
+        working-directory: ${{ env.RECORD_DIRECTORY }}
+      - name: generate end-to-end test config from secret
+        run: echo '${{ secrets.PF_TRACING_E2E_TEST_CONFIG }}' >> connections.json
+        working-directory: ${{ env.WORKING_DIRECTORY }}
+      - name: run e2e tests
+        run: poetry run pytest -m e2etest --cov=promptflow --cov-config=pyproject.toml --cov-report=term --cov-report=html --cov-report=xml
+        working-directory: ${{ env.WORKING_DIRECTORY }}
+      - name: upload coverage report
+        uses: actions/upload-artifact@v4
+        with:
+          name: report-${{ matrix.os }}-py${{ matrix.python-version }}
+          path: |
+            ${{ env.WORKING_DIRECTORY }}/*.xml
+            ${{ env.WORKING_DIRECTORY }}/htmlcov/
+
+  report:
+    needs: test
+    runs-on: ubuntu-latest
+    permissions:
+      checks: write
+      pull-requests: write
+      contents: read
+      issues: read
+    steps:
+      - uses: actions/download-artifact@v4
+        with:
+          path: artifacts
+      - uses: EnricoMi/publish-unit-test-result-action@v2
+        with:
+          check_name: promptflow-tracing test result
+          comment_title: promptflow-tracing test result
+          files: "artifacts/**/test-results.xml"  # align with `--junit-xml` in pyproject.toml
+      - uses: irongut/CodeCoverageSummary@v1.3.0
+        with:
+          filename: "artifacts/report-ubuntu-latest-py3.9/coverage.xml"
+          badge: true
+          fail_below_min: true
+          format: markdown
+          hide_complexity: true
+          output: both
+          thresholds: 40 80
diff --git a/.github/workflows/promptflow-tracing-unit-test.yml b/.github/workflows/promptflow-tracing-unit-test.yml
index bf04a46b1ba..e8f7f8cffa9 100644
--- a/.github/workflows/promptflow-tracing-unit-test.yml
+++ b/.github/workflows/promptflow-tracing-unit-test.yml
@@ -2,136 +2,98 @@ name: promptflow-tracing-unit-test
 
 on:
   schedule:
-    - cron: "40 18 * * *" # Every day starting at 2:40 BJT
-
+    - cron: "40 18 * * *" # 2:40 Beijing Time (GMT+8) every day
   pull_request:
     paths:
-      - src/promptflow/**
-      - scripts/building/**
+      - src/promptflow-tracing/**
       - .github/workflows/promptflow-tracing-unit-test.yml
-
   workflow_dispatch:
 
-
 env:
-  packageSetupType: promptflow_with_extra
-  testWorkingDirectory: ${{ github.workspace }}/src/promptflow
-  PYTHONPATH: ${{ github.workspace }}/src/promptflow
   IS_IN_CI_PIPELINE: "true"
-
+  WORKING_DIRECTORY: ${{ github.workspace }}/src/promptflow-tracing
+  RECORD_DIRECTORY: ${{ github.workspace }}/src/promptflow-recording
 
 jobs:
   build:
-    strategy:
-      fail-fast: false
     runs-on: ubuntu-latest
     steps:
-    - name: checkout
-      uses: actions/checkout@v4
-    - name: Display and Set Environment Variables
-      run: |
-        env | sort >> $GITHUB_OUTPUT
-      id: display_env
-      shell: bash -el {0}
-    - name: Python Setup - ubuntu-latest - Python Version 3.9
-      uses: "./.github/actions/step_create_python_environment"
+    - uses: actions/checkout@v4
+    - uses: snok/install-poetry@v1
+    - name: build
+      run: poetry build
+      working-directory: ${{ env.WORKING_DIRECTORY }}
+    - uses: actions/upload-artifact@v4
       with:
-        pythonVersion: 3.9
-    - name: Build wheel
-      uses: "./.github/actions/step_sdk_setup"
-      with:
-        setupType: promptflow_with_extra
-        scriptPath: ${{ env.testWorkingDirectory }}
-    - name: Upload Wheel
-      if: always()
-      uses: actions/upload-artifact@v3
-      with:
-        name: wheel
-        path: |
-          ${{ github.workspace }}/src/promptflow/dist/*.whl
-          ${{ github.workspace }}/src/promptflow-tools/dist/*.whl
+        name: promptflow-tracing
+        path: ${{ env.WORKING_DIRECTORY }}/dist/promptflow_tracing-*.whl
 
-  tracing_tests:
+  test:
     needs: build
     strategy:
-      fail-fast: false
       matrix:
-        os: [ubuntu-latest]
-        pythonVersion: ['3.8', '3.9', '3.10', '3.11']
+        os: [ubuntu-latest, windows-latest, macos-latest]
+        python-version: ['3.8', '3.9', '3.10', '3.11']
+      fail-fast: false
+    # snok/install-poetry need this to support Windows
+    defaults:
+      run:
+        shell: bash
     runs-on: ${{ matrix.os }}
     steps:
-    - name: checkout
-      uses: actions/checkout@v4
-
-    - name: Display and Set Environment Variables
-      run: |
-        env | sort >> $GITHUB_OUTPUT
-      id: display_env
-      shell: bash -el {0}
-
-    - name: Python Setup - ${{ matrix.os }} - Python Version ${{ matrix.pythonVersion }}
-      uses: "./.github/actions/step_create_python_environment"
-      with:
-        pythonVersion: ${{ matrix.pythonVersion }}
-
-    - name: Download Artifacts
-      uses: actions/download-artifact@v3
-      with:
-        name: wheel
-        path: artifacts
-
-    - name: Install wheel
-      shell: pwsh
-      working-directory: artifacts
-      run: |
-        Set-PSDebug -Trace 1
-        pip install -r ${{ github.workspace }}/src/promptflow/dev_requirements.txt
-        gci ./promptflow -Recurse | % {if ($_.Name.Contains('.whl')) {python -m pip install "$($_.FullName)"}}
-        gci ./promptflow-tools -Recurse | % {if ($_.Name.Contains('.whl')) {python -m pip install $_.FullName}}
-        pip freeze
-
-    - name: run promptflow-tracing test
-      shell: pwsh
-      working-directory: ${{ env.testWorkingDirectory }}
-      run: |
-        python "../../scripts/building/run_coverage_tests.py" `
-          -p promptflow `
-          -t ${{ github.workspace }}/src/promptflow/tests/tracing_test/unittests `
-          -l eastus `
-          -m "unittest" `
-          --coverage-config ${{ github.workspace }}/src/promptflow/tests/tracing_test/.coveragerc `
-          -o "${{ env.testWorkingDirectory }}/test-results-tracing.xml"
-
-    - name: Upload Test Results
-      if: always()
-      uses: actions/upload-artifact@v3
-      with:
-        name: Test Results (Python ${{ matrix.pythonVersion }}) (OS ${{ matrix.os }})
-        path: |
-          ${{ env.testWorkingDirectory }}/*.xml
-          ${{ env.testWorkingDirectory }}/htmlcov/
-
-
-  publish-test-results-tracing-test:
-    needs: tracing_tests
-    if: always()
-
+      - uses: actions/checkout@v4
+      - uses: actions/setup-python@v5
+        with:
+          python-version: ${{ matrix.python-version }}
+      - uses: snok/install-poetry@v1
+      - uses: actions/download-artifact@v4
+        with:
+          name: promptflow-tracing
+          path: ${{ env.WORKING_DIRECTORY }}
+      - name: install promptflow-tracing from wheel
+        # wildcard expansion (*) does not work in Windows, so leverage python to find and install
+        run: poetry run pip install $(python -c "import glob; print(glob.glob('promptflow_tracing-*.whl')[0])")
+        working-directory: ${{ env.WORKING_DIRECTORY }}
+      - name: install test dependency group
+        run: poetry install --only test
+        working-directory: ${{ env.WORKING_DIRECTORY }}
+      - name: install recording
+        run: poetry install
+        working-directory: ${{ env.RECORD_DIRECTORY }}
+      - name: run unit tests
+        run: poetry run pytest -m unittest --cov=promptflow --cov-config=pyproject.toml --cov-report=term --cov-report=html --cov-report=xml
+        working-directory: ${{ env.WORKING_DIRECTORY }}
+      - name: upload coverage report
+        uses: actions/upload-artifact@v4
+        with:
+          name: report-${{ matrix.os }}-py${{ matrix.python-version }}
+          path: |
+            ${{ env.WORKING_DIRECTORY }}/*.xml
+            ${{ env.WORKING_DIRECTORY }}/htmlcov/
+
+  report:
+    needs: test
     runs-on: ubuntu-latest
     permissions:
       checks: write
       pull-requests: write
       contents: read
       issues: read
-
     steps:
-    - name: checkout
-      uses: actions/checkout@v4
-    - name: Publish Test Results
-      uses: "./.github/actions/step_publish_test_results"
-      with:
-        testActionFileName: promptflow-tracing-unit-test.yml
-        testResultTitle: promptflow-tracing unit test result
-        osVersion: ubuntu-latest
-        pythonVersion: 3.9
-        coverageThreshold: 40
-        context: test/tracing
+      - uses: actions/download-artifact@v4
+        with:
+          path: artifacts
+      - uses: EnricoMi/publish-unit-test-result-action@v2
+        with:
+          check_name: promptflow-tracing test result
+          comment_title: promptflow-tracing test result
+          files: "artifacts/**/test-results.xml"  # align with `--junit-xml` in pyproject.toml
+      - uses: irongut/CodeCoverageSummary@v1.3.0
+        with:
+          filename: "artifacts/report-ubuntu-latest-py3.9/coverage.xml"
+          badge: true
+          fail_below_min: true
+          format: markdown
+          hide_complexity: true
+          output: both
+          thresholds: 40 60
diff --git a/.github/workflows/publish_doc.yml b/.github/workflows/publish_doc.yml
index 0138b45850a..43bc9cdd0c5 100644
--- a/.github/workflows/publish_doc.yml
+++ b/.github/workflows/publish_doc.yml
@@ -2,7 +2,7 @@ name: Publish Promptflow Doc
 
 on:
   workflow_dispatch:
-  push: 
+  push:
     branches:
       - main
       - preview/docs
@@ -11,7 +11,10 @@ on:
       - 'docs/**'
       - 'scripts/docs/**'
       - '.github/workflows/publish_doc.yml'
-      - 'src/promptflow/promptflow/**'
+      - 'src/promptflow-tracing/promptflow/**'
+      - 'src/promptflow-core/promptflow/**'
+      - 'src/promptflow-devkit/promptflow/**'
+      - 'src/promptflow-azure/promptflow/**'
 
 # Sets permissions of the GITHUB_TOKEN to allow deployment to GitHub Pages
 permissions:
@@ -39,11 +42,16 @@ jobs:
       - name: Python Setup
         uses: "./.github/actions/step_create_python_environment"
 
-      - name: Dev setup
-        uses: "./.github/actions/step_sdk_setup"
-        with:
-          setupType: ${{ env.packageSetupType }}
-          scriptPath: ${{ env.testWorkingDirectory }}
+      - name: Install packages
+        shell: pwsh
+        # Note: Use -e to avoid duplicate object warning when build apidoc.
+        run: |
+          pip uninstall -y promptflow-tracing promptflow-core promptflow-devkit promptflow-azure
+          pip install -e ${{ github.workspace }}/src/promptflow-tracing
+          pip install -e ${{ github.workspace }}/src/promptflow-core
+          pip install -e ${{ github.workspace }}/src/promptflow-devkit
+          pip install -e ${{ github.workspace }}/src/promptflow-azure
+          pip freeze
 
       - name: Build Doc
         shell: powershell
diff --git a/.github/workflows/samples_flowinpipeline_pipeline.yml b/.github/workflows/samples_runflowwithpipeline_pipeline.yml
similarity index 78%
rename from .github/workflows/samples_flowinpipeline_pipeline.yml
rename to .github/workflows/samples_runflowwithpipeline_pipeline.yml
index 3fab85821ce..5259e14d0f8 100644
--- a/.github/workflows/samples_flowinpipeline_pipeline.yml
+++ b/.github/workflows/samples_runflowwithpipeline_pipeline.yml
@@ -3,20 +3,20 @@
 # Any manual changes to this file may cause incorrect behavior.
 # Any manual changes will be overwritten if the code is regenerated.
 
-name: samples_flowinpipeline_pipeline
+name: samples_runflowwithpipeline_pipeline
 on:
   schedule:
-    - cron: "28 19 * * *" # Every day starting at 3:28 BJT
+    - cron: "33 20 * * *" # Every day starting at 4:33 BJT
   pull_request:
     branches: [ main ]
-    paths: [ examples/tutorials/flow-in-pipeline/**, examples/flows/standard/web-classification/**, .github/workflows/samples_flowinpipeline_pipeline.yml, examples/requirements.txt, examples/connections/azure_openai.yml ]
+    paths: [ examples/tutorials/run-flow-with-pipeline/**, examples/flows/standard/web-classification/**, .github/workflows/samples_runflowwithpipeline_pipeline.yml, examples/requirements.txt, examples/connections/azure_openai.yml ]
   workflow_dispatch:
 
 env:
   IS_IN_CI_PIPELINE: "true"
 
 jobs:
-  samples_flowinpipeline_pipeline:
+  samples_runflowwithpipeline_pipeline:
     runs-on: ubuntu-latest
     steps:
       - name: Checkout repository
@@ -43,7 +43,7 @@ jobs:
       - name: Create Aoai Connection
         run: pf connection create -f ${{ github.workspace }}/examples/connections/azure_openai.yml --set api_key="${{ secrets.AOAI_API_KEY_TEST }}" api_base="${{ secrets.AOAI_API_ENDPOINT_TEST }}"
       - name: Test Notebook
-        working-directory: examples/tutorials/flow-in-pipeline
+        working-directory: examples/tutorials/run-flow-with-pipeline
         run: |
           papermill -k python pipeline.ipynb pipeline.output.ipynb
       - name: Upload artifact
@@ -51,4 +51,4 @@ jobs:
         uses: actions/upload-artifact@v3
         with:
           name: artifact
-          path: examples/tutorials/flow-in-pipeline
+          path: examples/tutorials/run-flow-with-pipeline
diff --git a/.github/workflows/sdk-cli-azure-test-production.yml b/.github/workflows/sdk-cli-azure-test-production.yml
index aaf59bad765..1234860caf0 100644
--- a/.github/workflows/sdk-cli-azure-test-production.yml
+++ b/.github/workflows/sdk-cli-azure-test-production.yml
@@ -87,6 +87,10 @@ jobs:
         run: |
           Set-PSDebug -Trace 1
           pip install -r ${{ github.workspace }}/src/promptflow/dev_requirements.txt
+          pip install ${{ github.workspace }}/src/promptflow-tracing
+          pip install ${{ github.workspace }}/src/promptflow-core
+          pip install ${{ github.workspace }}/src/promptflow-devkit
+          pip install ${{ github.workspace }}/src/promptflow-azure
           gci ./promptflow -Recurse | % {if ($_.Name.Contains('.whl')) {python -m pip install "$($_.FullName)[azure]"}}
           gci ./promptflow-tools -Recurse | % {if ($_.Name.Contains('.whl')) {python -m pip install $_.FullName}}
           pip freeze
diff --git a/.github/workflows/sdk-cli-azure-test-pull-request.yml b/.github/workflows/sdk-cli-azure-test-pull-request.yml
index b6f3eb81675..c509eceb3d5 100644
--- a/.github/workflows/sdk-cli-azure-test-pull-request.yml
+++ b/.github/workflows/sdk-cli-azure-test-pull-request.yml
@@ -6,8 +6,11 @@ name: sdk-cli-azure-test-pull-request
 on:
   pull_request:
     paths:
+      - src/promptflow-core/**
+      - src/promptflow-devkit/**
       - src/promptflow/**
       - scripts/building/**
+      - src/promptflow-tracing/**
       - .github/workflows/sdk-cli-azure-test-pull-request.yml
 
 
@@ -17,6 +20,7 @@ env:
   PYTHONPATH: ${{ github.workspace }}/src/promptflow
   IS_IN_CI_PIPELINE: "true"
   PROMPT_FLOW_TEST_MODE: "replay"
+  RECORD_DIRECTORY: ${{ github.workspace }}/src/promptflow-recording
 
 
 jobs:
@@ -58,7 +62,7 @@ jobs:
         # replay tests can cover more combinations
         os: [ubuntu-latest]
         pythonVersion: ['3.8', '3.9', '3.10', '3.11']
-  
+
     runs-on: ${{ matrix.os }}
     steps:
       - name: checkout
@@ -84,10 +88,20 @@ jobs:
         run: |
           Set-PSDebug -Trace 1
           pip install -r ${{ github.workspace }}/src/promptflow/dev_requirements.txt
+          pip install ${{ github.workspace }}/src/promptflow-tracing
+          pip install ${{ github.workspace }}/src/promptflow-core
+          pip install ${{ github.workspace }}/src/promptflow-devkit
+          pip install ${{ github.workspace }}/src/promptflow-azure
           gci ./promptflow -Recurse | % {if ($_.Name.Contains('.whl')) {python -m pip install "$($_.FullName)[azure]"}}
           gci ./promptflow-tools -Recurse | % {if ($_.Name.Contains('.whl')) {python -m pip install $_.FullName}}
           pip freeze
 
+      - name: install recording
+        run: |
+          pip install vcrpy
+          pip install -e .
+        working-directory: ${{ env.RECORD_DIRECTORY }}
+
       - name: Run SDK CLI Azure Test (replay mode)
         shell: pwsh
         working-directory: ${{ env.testWorkingDirectory }}
diff --git a/.github/workflows/sdk-cli-azure-test.yml b/.github/workflows/sdk-cli-azure-test.yml
index a960920e058..f1f950a7a3a 100644
--- a/.github/workflows/sdk-cli-azure-test.yml
+++ b/.github/workflows/sdk-cli-azure-test.yml
@@ -86,6 +86,10 @@ jobs:
         run: |
           Set-PSDebug -Trace 1
           pip install -r ${{ github.workspace }}/src/promptflow/dev_requirements.txt
+          pip install ${{ github.workspace }}/src/promptflow-tracing
+          pip install ${{ github.workspace }}/src/promptflow-core
+          pip install ${{ github.workspace }}/src/promptflow-devkit
+          pip install ${{ github.workspace }}/src/promptflow-azure
           gci ./promptflow -Recurse | % {if ($_.Name.Contains('.whl')) {python -m pip install "$($_.FullName)[azure]"}}
           gci ./promptflow-tools -Recurse | % {if ($_.Name.Contains('.whl')) {python -m pip install $_.FullName}}
           pip freeze
diff --git a/.github/workflows/sdk-cli-perf-monitor-test.yml b/.github/workflows/sdk-cli-perf-monitor-test.yml
index bd787d76471..f3aa9f2f821 100644
--- a/.github/workflows/sdk-cli-perf-monitor-test.yml
+++ b/.github/workflows/sdk-cli-perf-monitor-test.yml
@@ -7,6 +7,8 @@ on:
   pull_request:
     paths:
       - src/promptflow/**
+      - src/promptflow-core/**
+      - src/promptflow-devkit/**
       - scripts/building/**
       - .github/workflows/sdk-cli-perf-monitor-test.yml
 
@@ -22,6 +24,7 @@ env:
   PYTHONPATH: ${{ github.workspace }}/src/promptflow
   IS_IN_CI_PIPELINE: "true"
   PROMPT_FLOW_TEST_MODE: "replay"
+  RECORD_DIRECTORY: ${{ github.workspace }}/src/promptflow-recording
 
 
 jobs:
@@ -57,8 +60,40 @@ jobs:
       - name: Build wheel
         uses: "./.github/actions/step_sdk_setup"
         with:
-          setupType: ${{ env.packageSetupType }}
+          setupType: promptflow_with_extra
           scriptPath: ${{ env.testWorkingDirectory }}
+      - name: Upload Wheel
+        if: always()
+        uses: actions/upload-artifact@v3
+        with:
+          name: wheel
+          path: |
+            ${{ github.workspace }}/src/promptflow/dist/*.whl
+            ${{ github.workspace }}/src/promptflow-tools/dist/*.whl
+      - name: Download Artifacts
+        uses: actions/download-artifact@v3
+        with:
+          name: wheel
+          path: artifacts
+      - name: Install wheel
+        shell: pwsh
+        working-directory: artifacts
+        run: |
+          Set-PSDebug -Trace 1
+          pip install -r ${{ github.workspace }}/src/promptflow/dev_requirements.txt
+          pip install ${{ github.workspace }}/src/promptflow-tracing
+          pip install ${{ github.workspace }}/src/promptflow-core
+          pip install ${{ github.workspace }}/src/promptflow-devkit
+          pip install ${{ github.workspace }}/src/promptflow-azure
+          gci ./promptflow -Recurse | % {if ($_.Name.Contains('.whl')) {python -m pip install "$($_.FullName)[all]"}}
+          gci ./promptflow-tools -Recurse | % {if ($_.Name.Contains('.whl')) {python -m pip install $_.FullName}}
+          pip freeze
+
+      - name: install recording
+        run:
+          pip install vcrpy
+          pip install -e .
+        working-directory: ${{ env.RECORD_DIRECTORY }}
 
       - name: Generate (mock) connections.json
         shell: pwsh
diff --git a/.github/workflows/tools_tests.yml b/.github/workflows/tools_tests.yml
index 6b0ef5cff91..1c34f0684d1 100644
--- a/.github/workflows/tools_tests.yml
+++ b/.github/workflows/tools_tests.yml
@@ -39,7 +39,11 @@ jobs:
           pip install azure-identity azure-keyvault-secrets
           # "DEPENDENCY_SOURCE_MODE" is "main" or "package", means the dependency source of code
           if [ "$DEPENDENCY_SOURCE_MODE" = "main" ]; then
-            python ./scripts/building/dev_setup.py --promptflow-extra-deps azure
+            pip install ${{ github.workspace }}/src/promptflow-tracing
+            pip install ${{ github.workspace }}/src/promptflow-core
+            pip install ${{ github.workspace }}/src/promptflow-devkit
+            pip install ${{ github.workspace }}/src/promptflow-azure
+            pip install ${{ github.workspace }}/src/promptflow
             pip install google-search-results==2.4.1
             pip install openai>=1.0.0
             pip install azure-mgmt-cognitiveservices==13.5.0
diff --git a/.gitignore b/.gitignore
index 85b40811f1a..74df3834b44 100644
--- a/.gitignore
+++ b/.gitignore
@@ -51,6 +51,7 @@ cov.xml
 .hypothesis/
 .pytest_cache/
 cover/
+test-results.xml
 
 # Translations
 *.mo
@@ -185,3 +186,8 @@ config.json
 # chat-with-pdf's prebuilt index
 !.pdfs/
 !.index/
+
+# Poetry
+poetry.lock
+# promptflow subpackages __init__
+src/promptflow-*/promptflow/__init__.py
diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml
index 7637042d9d5..419c1cc7684 100644
--- a/.pre-commit-config.yaml
+++ b/.pre-commit-config.yaml
@@ -1,7 +1,7 @@
 # See https://pre-commit.com for more information
 # See https://pre-commit.com/hooks.html for more hooks
 
-exclude: '(^docs/)|flows|scripts|src/promptflow/promptflow/azure/_restclient/|src/promptflow/promptflow/azure/_models/|src/promptflow/tests/test_configs|src/promptflow-tools'
+exclude: '(^docs/)|flows|scripts|src/promptflow-azure/promptflow/azure/_restclient/|src/promptflow-core/promptflow/core/_connection_provider/_models/|src/promptflow-azure/promptflow/azure/_models/|src/promptflow/tests/test_configs|src/promptflow-tools'
 
 repos:
     - repo: https://github.com/pre-commit/pre-commit-hooks
diff --git a/docs/cloud/azureai/manage-flows.md b/docs/cloud/azureai/manage-flows.md
index 1e719e2dc3c..ba57d4b7132 100644
--- a/docs/cloud/azureai/manage-flows.md
+++ b/docs/cloud/azureai/manage-flows.md
@@ -9,7 +9,7 @@ The flow examples in this guide come from [examples/flows/standard](https://gith
 
 In general:
 - For `CLI`, you can run `pfazure flow --help` in the terminal to see help messages.
-- For `SDK`, you can refer to [Promptflow Python Library Reference](../../reference/python-library-reference/promptflow.md) and check `promptflow.azure.PFClient.flows` for more flow operations.
+- For `SDK`, you can refer to [Promptflow Python Library Reference](../../reference/python-library-reference/promptflow-azure/promptflow.rst) and check `promptflow.azure.PFClient.flows` for more flow operations.
 
 :::{admonition} Prerequisites
 - Refer to the prerequisites in [Quick start](./quick-start/index.md#prerequisites).
diff --git a/docs/cloud/azureai/quick-start/create-run-with-automatic-runtime.md b/docs/cloud/azureai/quick-start/create-run-with-automatic-runtime.md
index 8f7de3cdbbc..a7a33dc352d 100644
--- a/docs/cloud/azureai/quick-start/create-run-with-automatic-runtime.md
+++ b/docs/cloud/azureai/quick-start/create-run-with-automatic-runtime.md
@@ -87,7 +87,7 @@ pfazure run create --file run.yml
 :sync: SDK
 
 ```python
-from promptflow import load_run
+from promptflow.client import load_run
 
 run = load_run(source="run.yml")
 pf = PFClient(
diff --git a/docs/cloud/azureai/runtime-change-log.md b/docs/cloud/azureai/runtime-change-log.md
index 58fa4940fe3..bb47dd8e510 100644
--- a/docs/cloud/azureai/runtime-change-log.md
+++ b/docs/cloud/azureai/runtime-change-log.md
@@ -14,6 +14,39 @@ You can check the runtime image version from the flow execution log:
 
 ## Change log
 Default runtime image is continuously updated, and here we record the new features and fixed bugs of each image version.
+
+### 20240319.v1
+
+#### New features
+
+- Add param "seed" to LLM tool chat api.
+
+### 20240313.v1
+
+#### Bugs fixed
+
+- Fix an issue where calling a flow with a flow function would result in failure.
+- Improve error handling by categorizing errors as user errors when a run is archived prior to being processed by the runtime.
+
+### 20240306.v5
+
+#### New features
+- Support "seed" parameter for built-in LLM tools and GPT-4V tools.
+
+#### Bugs fixed
+- Handle ClientAuthenticationError properly.
+- Fix appending blob exceeded size limit error by truncating debug info.
+
+
+### 20240228.v3
+
+#### New features
+- Support async flow test for long running jobs.
+
+#### Bugs fixed
+- Fix bug when collecting package tools.
+
+
 ### 20240222.v3
 
 #### New features
@@ -40,7 +73,7 @@ NA
 
 #### Bugs fixed
 - Fix the bug that exception raised during preparing data is not set in run history.
-- Fix the bug that unexpected exception is raised when executor process crushes. 
+- Fix the bug that unexpected exception is raised when executor process crushes.
 
 ### 20240116.v1
 
diff --git a/docs/cloud/azureai/use-flow-in-azure-ml-pipeline.md b/docs/cloud/azureai/use-flow-in-azure-ml-pipeline.md
index c4f9073e2c7..fccfde40e51 100644
--- a/docs/cloud/azureai/use-flow-in-azure-ml-pipeline.md
+++ b/docs/cloud/azureai/use-flow-in-azure-ml-pipeline.md
@@ -1,6 +1,7 @@
 # Use flow in Azure ML pipeline job
+In practical scenarios, flows fulfill various functions. For example, consider an offline flow specifically designed to assess the relevance score for communication sessions between humans and agents. This flow is triggered nightly and processes a substantial amount of session data. In such a context, Parallel component and AzureML pipeline emerge as the optimal choices for handling large-scale, highly resilient, and efficient offline batch requirements. 
 
-After you have developed and tested the flow in [init and test a flow](../../how-to-guides/init-and-test-a-flow.md), this guide will help you learn how to use a flow as a parallel component in a pipeline job on AzureML, so that you can integrate the created flow with existing pipelines and process a large amount of data.
+Once you’ve developed and thoroughly tested your flow using the guidelines in the [init and test a flow](../../how-to-guides/init-and-test-a-flow.md) section, this guide will walk you through utilizing your flow as a parallel component within an AzureML pipeline job.
 
 :::{admonition} Pre-requirements
 To enable this feature, customer need to:
diff --git a/docs/dev/dev_setup.md b/docs/dev/dev_setup.md
index 29ef44491b1..84fb18c1847 100644
--- a/docs/dev/dev_setup.md
+++ b/docs/dev/dev_setup.md
@@ -5,11 +5,7 @@
 - First create a new [conda](https://conda.io/projects/conda/en/latest/user-guide/getting-started.html) environment. Please specify python version as 3.9.
   `conda create -n <env_name> python=3.9`.
 - Activate the env you created.
-- Set environment variable `PYTHONPATH` in your new conda environment.
-  `conda env config vars set PYTHONPATH=<path-to-src>\promptflow`.
-  Once you have set the environment variable, you have to reactivate your environment.
-  `conda activate <env_name>`.
-- In root folder, run `python scripts/building/dev_setup.py --promptflow-extra-deps azure` to install the package and dependencies.
+- In root folder, run `python scripts/dev-setup/main.py` to install the packages and dependencies; if you are using Visual Studio Code, it is recommended to add `--vscode` (which is `python scripts/dev-setup/main.py --vscode`) to enable VS Code to recognize the packages.
 
 ## How to run tests
 
@@ -80,11 +76,7 @@ Open `.vscode/settings.json`, write `"--ignore=src/promptflow/tests/sdk_cli_azur
 
 ![img2](../media/dev_setup/set_up_pycharm_2.png)
 
-### Record and replay tests
-
-Please refer to [Replay End-to-End Tests](./replay-e2e-test.md) to learn how to record and replay tests.
-
-## How to write docstring.
+## How to write docstring
 
 A clear and consistent API documentation is crucial for the usability and maintainability of our codebase. Please refer to [API Documentation Guidelines](./documentation_guidelines.md) to learn how to write docstring when developing the project.
 
@@ -102,16 +94,9 @@ A clear and consistent API documentation is crucial for the usability and mainta
 
 ### Test structure
 
-Currently all tests are under `src/promptflow/tests/` folder:
+In the future, tests will under corresponding source folder, and test_configs are shared among different test folders:
 
-- tests/
-  - promptflow/
-    - sdk_cli_test/
-      - e2etests/
-      - unittests/
-    - sdk_cli_azure_test/
-      - e2etests/
-      - unittests/
+- src/promptflow/
   - test_configs/
     - connections/
     - datas/
@@ -119,18 +104,34 @@ Currently all tests are under `src/promptflow/tests/` folder:
     - runs/
     - wrong_flows/
     - wrong_tools/
+- src/promptflow-core/
+  - tests/
+    - core/ # Basic test with promptflow-core installed.
+      - e2etests/
+      - unittests/
+    - azureml-serving/  # Test with promptflow-core[azureml-serving] installed.
+      - e2etests/
+      - unittests/
+    - executor-service/ # Test with promptflow-core[executor-service] installed.
+      - e2etests/
+      - unittests/
+- src/promptflow-devkit/
+  - tests/
+    - executable/ # Test with promptflow-devkit[executable] installed.
+- src/promptflow-azure/
+  - tests/  # promptflow-azure doesn't have extra-requires, so all tests are under the test folder.
+    - e2etests/
+    - unittests/
 
-When you want to add tests for a new feature, you can add new test file let's say a e2e test file `test_construction.py`
-under `tests/promptflow/**/e2etests/`.
+Principal #1: Put the tests in the same folder as the code they are testing, to ensure code can work within minor environment requirements.
 
-Once the project gets more complicated or anytime you find it necessary to add new test folder and test configs for
-a specific feature, feel free to split the `promptflow` to more folders, for example:
+For example, you write code requires basic `promptflow-core` package, then put the tests in `promptflow-core/tests/core`, DO NOT put it in the promptflow-devkit or promptflow-azure.
 
-- tests/
-  - (Test folder name)/
-    - e2etests/
-      - test_xxx.py
-    - unittests/
-      - test_xxx.py
-  - test_configs/
-    - (Data or config folder name)/
+Principal #2: Setup separate workflow for tests with extra-requires.
+
+For example, you want to test `promptflow-core[azureml-serving]`, then add a new test folder `promptflow-core/tests/azureml-serving` to test the azure related code,
+and add new test steps and environment setup step into `promptflow-core-test.yml` for that folder. DO NOT update the environment of `promptflow-core` basic test directly.
+
+### Record and replay tests
+
+Please refer to [Replay End-to-End Tests](./replay-e2e-test.md) to learn how to record and replay tests.
diff --git a/docs/dev/documentation_guidelines.md b/docs/dev/documentation_guidelines.md
index aa9d256e7c4..f5f4f124d74 100644
--- a/docs/dev/documentation_guidelines.md
+++ b/docs/dev/documentation_guidelines.md
@@ -2,7 +2,7 @@
 
 ## Overview
 
-This guide describes how to author Python docstrings for promptflow public interfaces. See our doc site at [Promptflow API reference documentation](https://microsoft.github.io/promptflow/reference/python-library-reference/promptflow.html).
+This guide describes how to author Python docstrings for promptflow public interfaces. See our doc site at [Promptflow API reference documentation](https://microsoft.github.io/promptflow/reference/python-library-reference/promptflow-tracing/promptflow.html).
 
 ## Principles
 
@@ -23,7 +23,7 @@ First please read through [Sphinx style](https://sphinx-rtd-tutorial.readthedocs
 Let's start with a class example:
 ```python
 from typing import Dict, Optional, Union
-from promptflow import PFClient
+from promptflow.client import PFClient
 
 class MyClass:
     """One-line summary of the class.
diff --git a/docs/how-to-guides/develop-a-flow/develop-evaluation-flow.md b/docs/how-to-guides/develop-a-flow/develop-evaluation-flow.md
index 8d87c6b6b09..62393393a7a 100644
--- a/docs/how-to-guides/develop-a-flow/develop-evaluation-flow.md
+++ b/docs/how-to-guides/develop-a-flow/develop-evaluation-flow.md
@@ -61,7 +61,7 @@ Before introducing the aggregation node, let's see what a regular node looks lik
 It takes both `groundtruth` and `prediction` from the flow inputs, compare them in the source code to see if they match:
 
 ```python
-from promptflow import tool
+from promptflow.core import tool
 
 @tool
 def grade(groundtruth: str, prediction: str):
@@ -86,7 +86,7 @@ When it comes to an `aggregation node`, there are two key distinctions that set
 
 ```python
 from typing import List
-from promptflow import log_metric, tool
+from promptflow.core import log_metric, tool
 
 @tool
 def calculate_accuracy(grades: List[str]):
@@ -157,7 +157,7 @@ Promptflow supports logging and tracking experiments using `log_metric` function
 
 ```python
 from typing import List
-from promptflow import log_metric, tool
+from promptflow.core import log_metric, tool
 
 @tool
 def example_log_metrics(grades: List[str]):
diff --git a/docs/how-to-guides/develop-a-flow/develop-standard-flow.md b/docs/how-to-guides/develop-a-flow/develop-standard-flow.md
index f99f9a46fd6..141ec676047 100644
--- a/docs/how-to-guides/develop-a-flow/develop-standard-flow.md
+++ b/docs/how-to-guides/develop-a-flow/develop-standard-flow.md
@@ -74,7 +74,7 @@ By selecting the tool card on the very top, you'll add a new tool node to flow.
 You can edit the tool by simply opening the source file and making edits. For example, we provide a simple Python tool code below.
 
 ```python
-from promptflow import tool
+from promptflow.core import tool
 
 # The inputs section will change based on the arguments of the tool function, after you save the code
 # Adding type to arguments and return value will help the system show the types properly
@@ -144,7 +144,7 @@ For example:
 
 ```python
 import json
-from promptflow import tool
+from promptflow.core import tool
 
 @tool
 def convert_to_dict(input_str: str, input_str2: str) -> dict:
diff --git a/docs/how-to-guides/develop-a-tool/create-cascading-tool-inputs.md b/docs/how-to-guides/develop-a-tool/create-cascading-tool-inputs.md
index c639b8d800f..a4758499b51 100644
--- a/docs/how-to-guides/develop-a-tool/create-cascading-tool-inputs.md
+++ b/docs/how-to-guides/develop-a-tool/create-cascading-tool-inputs.md
@@ -17,7 +17,7 @@ We'll build out an example tool to show how cascading inputs work. The `student_
 ```python
 from enum import Enum
 
-from promptflow import tool
+from promptflow.core import tool
 
 
 class UserType(str, Enum):
diff --git a/docs/how-to-guides/develop-a-tool/create-dynamic-list-tool-input.md b/docs/how-to-guides/develop-a-tool/create-dynamic-list-tool-input.md
index 475236ff813..7cb8850aa05 100644
--- a/docs/how-to-guides/develop-a-tool/create-dynamic-list-tool-input.md
+++ b/docs/how-to-guides/develop-a-tool/create-dynamic-list-tool-input.md
@@ -125,7 +125,10 @@ pip install my-tools-package>=0.0.8
 ### I'm a tool author, and want to dynamically list Azure resources in my tool input. What should I pay attention to?
 1. Clarify azure workspace triple "subscription_id", "resource_group_name", "workspace_name" in the list function signature. System helps append workspace triple to function input parameters if they are in function signature. See [list_endpoint_names](https://github.com/microsoft/promptflow/blob/main/examples/tools/tool-package-quickstart/my_tool_package/tools/tool_with_dynamic_list_input.py) as an example.
 ```python
-def list_endpoint_names(subscription_id, resource_group_name, workspace_name, prefix: str = "") -> List[Dict[str, str]]:
+def list_endpoint_names(subscription_id: str = None,
+                        resource_group_name: str = None, 
+                        workspace_name: str = None,
+                        prefix: str = "") -> List[Dict[str, str]]:
     """This is an example to show how to get Azure ML resource in tool input list function.
 
     :param subscription_id: Azure subscription id.
@@ -133,6 +136,10 @@ def list_endpoint_names(subscription_id, resource_group_name, workspace_name, pr
     :param workspace_name: Azure ML workspace name.
     :param prefix: prefix to add to each item.
     """
+    # return an empty list if workspace triad is not available.
+    if not subscription_id or not resource_group_name or not workspace_name:
+        return []
+
     from azure.ai.ml import MLClient
     from azure.identity import DefaultAzureCredential
 
@@ -185,4 +192,13 @@ If you are unable to see any options in a dynamic list tool input, you may see a
 If this occurs, follow these troubleshooting steps:
 
 - Note the exact error message shown. This provides details on why the dynamic list failed to populate.
+- Check the tool documentation for any prerequisites or special instructions. For example, if the dynamic list function requires Azure credentials, ensure you have installed azure dependencies, logged in and set the default workspace.
+  ```sh
+  pip install azure-ai-ml
+  ```
+  ```sh
+  az login
+  az account set --subscription <subscription_id>
+  az configure --defaults group=<resource_group_name> workspace=<workspace_name>
+  ```
 - Contact the tool author/support team and report the issue. Provide the error message so they can investigate the root cause. 
diff --git a/docs/how-to-guides/develop-a-tool/customize_an_llm_tool.md b/docs/how-to-guides/develop-a-tool/customize_an_llm_tool.md
index f29462aa80d..20478f93f2a 100644
--- a/docs/how-to-guides/develop-a-tool/customize_an_llm_tool.md
+++ b/docs/how-to-guides/develop-a-tool/customize_an_llm_tool.md
@@ -13,7 +13,7 @@ Here we use [an existing tool package](https://github.com/microsoft/promptflow/t
 
     ```python
     from jinja2 import Template
-    from promptflow import tool
+    from promptflow.core import tool
     from promptflow.connections import CustomConnection
     from promptflow.contracts.types import PromptTemplate
 
diff --git a/docs/how-to-guides/develop-a-tool/use-file-path-as-tool-input.md b/docs/how-to-guides/develop-a-tool/use-file-path-as-tool-input.md
index d54fadfa048..9d2cbcd3ca5 100644
--- a/docs/how-to-guides/develop-a-tool/use-file-path-as-tool-input.md
+++ b/docs/how-to-guides/develop-a-tool/use-file-path-as-tool-input.md
@@ -23,7 +23,7 @@ Here we use [an existing tool package](https://github.com/microsoft/promptflow/t
     ```python
     import importlib
     from pathlib import Path
-    from promptflow import tool
+    from promptflow.core import tool
     # 1. import the FilePath type
     from promptflow.contracts.types import FilePath
 
@@ -78,7 +78,7 @@ We can also utilize the `FilePath` input type directly in a script tool, elimina
     ```python
     import importlib
     from pathlib import Path
-    from promptflow import tool
+    from promptflow.core import tool
     # 1. import the FilePath type
     from promptflow.contracts.types import FilePath
 
diff --git a/docs/how-to-guides/enable-streaming-mode.md b/docs/how-to-guides/enable-streaming-mode.md
index a53c0759db3..9402b7739b1 100644
--- a/docs/how-to-guides/enable-streaming-mode.md
+++ b/docs/how-to-guides/enable-streaming-mode.md
@@ -16,15 +16,15 @@ If you want to use the streaming mode, you need to create a flow that has a node
   ```jinja
   {# Sample prompt template for LLM node #}
 
-  system:
+  # system:
   You are a helpful assistant.
 
-  user:
+  # user:
   {{question}}
   ```
 - Python tools node: This node allows you to write custom Python code that can yield string outputs. You can use this node to call external APIs or libraries that support streaming. For example, you can use this code to echo the input word by word:
   ```python
-  from promptflow import tool
+  from promptflow.core import tool
 
   # Sample code echo input by yield in Python tool node
 
@@ -45,7 +45,7 @@ To use the streaming mode, you need to deploy your flow as an online endpoint. T
 Follow [this guide](./deploy-a-flow/index.md) to deploy your flow as an online endpoint.
 
 > [!NOTE]
-> 
+>
 > You can follow this document to deploy an [online endpoint](https://learn.microsoft.com/en-us/azure/machine-learning/prompt-flow/how-to-deploy-for-real-time-inference?view=azureml-api-2).
 > Please deploy with runtime environment version later than version `20230816.v10`.
 > You can check your runtime version and update runtime in the run time detail page.
@@ -60,9 +60,9 @@ To understand the streaming process, consider the following steps:
 
 - First, the client constructs an HTTP request with the desired media type included in the `Accept` header. The media type tells the server what kind of data format the client expects. It's like the client saying, "Hey, I'm looking for a specific format for the data you'll send me. It could be JSON, text, or something else." For example, `application/json` indicates a preference for JSON data, `text/event-stream` indicates a desire for streaming data, and `*/*` means the client accepts any data format.
     > [!NOTE]
-    > 
+    >
     > If a request lacks an `Accept` header or has empty `Accept` header, it implies that the client will accept any media type in response. The server treats it as `*/*`.
-    
+
 - Next, the server responds based on the media type specified in the `Accept` header. It's important to note that the client may request multiple media types in the `Accept` header, and the server must consider its capabilities and format priorities to determine the appropriate response.
   - First, the server checks if `text/event-stream` is explicitly specified in the `Accept` header:
     - For a stream-enabled flow, the server returns a response with a `Content-Type` of `text/event-stream`, indicating that the data is being streamed.
@@ -92,7 +92,7 @@ Accept: text/event-stream
 }
 ```
 > [!NOTE]
-> 
+>
 > The `Accept` header is set to `text/event-stream` to request a stream response.
 
 
@@ -230,15 +230,15 @@ If the response code is "424 Model Error", it means that the error is caused by
 In this sample usage, we are using the `SSEClient` class. This class is not a built-in Python class and needs to be installed separately. You can install it via pip:
 
 ```bash
-pip install sseclient-py  
+pip install sseclient-py
 ```
 
 A sample usage would like:
 
 ```python
-import requests  
-from sseclient import SSEClient  
-from requests.exceptions import HTTPError  
+import requests
+from sseclient import SSEClient
+from requests.exceptions import HTTPError
 
 try:
     response = requests.post(url, json=body, headers=headers, stream=stream)
diff --git a/docs/how-to-guides/init-and-test-a-flow.md b/docs/how-to-guides/init-and-test-a-flow.md
index 03100edda32..1a1ebf39a57 100644
--- a/docs/how-to-guides/init-and-test-a-flow.md
+++ b/docs/how-to-guides/init-and-test-a-flow.md
@@ -127,7 +127,7 @@ Promptflow CLI will generate test logs and outputs in `.promptflow`:
 The return value of `test` function is the flow outputs.
 
 ```python
-from promptflow import PFClient
+from promptflow.client import PFClient
 
 pf_client = PFClient()
 
@@ -188,7 +188,7 @@ The log and result of flow node test will be displayed in the terminal. And the
 Customer can execute this command to test the flow. The return value of `test` function is the node outputs.
 
 ```python
-from promptflow import PFClient
+from promptflow.client import PFClient
 
 pf_client = PFClient()
 
@@ -266,7 +266,7 @@ The flow result will be streamed in the terminal as shown below.
 The LLM node return value of `test` function is a generator, you can consume the result by this way:
 
 ```python
-from promptflow import PFClient
+from promptflow.client import PFClient
 
 pf_client = PFClient()
 
diff --git a/docs/how-to-guides/manage-connections.md b/docs/how-to-guides/manage-connections.md
index f9fd89129b9..30803949199 100644
--- a/docs/how-to-guides/manage-connections.md
+++ b/docs/how-to-guides/manage-connections.md
@@ -63,7 +63,7 @@ The expected result is as follows if the connection created successfully.
 Using SDK, each connection type has a corresponding class to create a connection. The following code snippet shows how to import the required class and create the connection:
 
 ```python
-from promptflow import PFClient
+from promptflow.client import PFClient
 from promptflow.entities import AzureOpenAIConnection, CustomConnection
 
 # Get a pf client to manage connections
@@ -162,7 +162,7 @@ pf connection list
 :sync: SDK
 List connection command will return the connections object list, note that all secrets and api keys will be scrubbed:
 ```python
-from promptflow import PFClient
+from promptflow.client import PFClient
 # Get a pf client to manage connections
 pf = PFClient()
 # List and print connections
@@ -193,7 +193,7 @@ pf connection delete -n <connection_name>
 :sync: SDK
 Delete a connection with the following code snippet:
 ```python
-from promptflow import PFClient
+from promptflow.client import PFClient
 
 # Get a pf client to manage connections
 pf = PFClient()
@@ -211,7 +211,7 @@ On the VS Code primary sidebar > prompt flow pane. You can find the connections
 ::::
 
 ## Load from environment variables
-With `promptflow>=1.7.0`, user is able to load a connection object from os environment variables with `<ConnectionType>.from_env` func.
+With `promptflow>=1.8.0`, user is able to load a connection object from os environment variables with `<ConnectionType>.from_env` func.
 Note that the connection object will **NOT BE CREATED** to local database.
 
 Supported types are as follows:
diff --git a/docs/how-to-guides/manage-runs.md b/docs/how-to-guides/manage-runs.md
index bf8a495cea0..91d785cd9bf 100644
--- a/docs/how-to-guides/manage-runs.md
+++ b/docs/how-to-guides/manage-runs.md
@@ -8,7 +8,7 @@ This documentation will walk you through how to manage your runs with CLI, SDK a
 
 In general:
 - For `CLI`, you can run `pf/pfazure run --help` in terminal to see the help messages.
-- For `SDK`, you can refer to [Promptflow Python Library Reference](../reference/python-library-reference/promptflow.md) and check `PFClient.runs` for more run operations.
+- For `SDK`, you can refer to [Promptflow Python Library Reference](../reference/python-library-reference/promptflow-devkit/promptflow.rst) and check `PFClient.runs` for more run operations.
 
 Let's take a look at the following topics:
 
@@ -76,7 +76,7 @@ The expected result is as follows if the run is created successfully.
 Using SDK, create `Run` object and submit it with `PFClient`. The following code snippet shows how to import the required class and create the run:
 
 ```python
-from promptflow import PFClient
+from promptflow.client import PFClient
 from promptflow.entities import Run
 
 # Get a pf client to manage runs
@@ -130,7 +130,7 @@ pf run show --name <run-name>
 :sync: SDK
 Show run with `PFClient`
 ```python
-from promptflow import PFClient
+from promptflow.client import PFClient
 # Get a pf client to manage runs
 pf = PFClient()
 # Get and print the run
@@ -154,7 +154,7 @@ print(run)
 Get run details with TABLE format.
 
 ```bash
-pf run show --name <run-name>
+pf run show-details --name <run-name>
 ```
 
 ![img](../media/how-to-guides/run_show_details.png)
@@ -166,7 +166,7 @@ pf run show --name <run-name>
 :sync: SDK
 Show run details with `PFClient`
 ```python
-from promptflow import PFClient
+from promptflow.client import PFClient
 from tabulate import tabulate
 
 # Get a pf client to manage runs
@@ -204,7 +204,7 @@ pf run show-metrics --name <run-name>
 :sync: SDK
 Show run metrics with `PFClient`
 ```python
-from promptflow import PFClient
+from promptflow.client import PFClient
 import json
 
 # Get a pf client to manage runs
@@ -240,7 +240,7 @@ A browser will open and display run outputs.
 :sync: SDK
 Visualize run with `PFClient`
 ```python
-from promptflow import PFClient
+from promptflow.client import PFClient
 
 # Get a pf client to manage runs
 pf = PFClient()
@@ -280,7 +280,7 @@ pf run list
 :sync: SDK
 List with `PFClient`
 ```python
-from promptflow import PFClient
+from promptflow.client import PFClient
 
 # Get a pf client to manage runs
 pf = PFClient()
@@ -317,7 +317,7 @@ pf run update --name <run-name> --set display_name=new_display_name
 :sync: SDK
 Update run with `PFClient`
 ```python
-from promptflow import PFClient
+from promptflow.client import PFClient
 
 # Get a pf client to manage runs
 pf = PFClient()
@@ -346,7 +346,7 @@ pf run archive --name <run-name>
 :sync: SDK
 Archive with `PFClient`
 ```python
-from promptflow import PFClient
+from promptflow.client import PFClient
 
 # Get a pf client to manage runs
 pf = PFClient()
@@ -379,7 +379,7 @@ pf run restore --name <run-name>
 :sync: SDK
 Restore with `PFClient`
 ```python
-from promptflow import PFClient
+from promptflow.client import PFClient
 
 # Get a pf client to manage runs
 pf = PFClient()
@@ -409,7 +409,7 @@ pf run delete --name <run-name>
 :sync: SDK
 Delete with `PFClient`
 ```python
-from promptflow import PFClient
+from promptflow.client import PFClient
 
 # Get a pf client to manage runs
 pf = PFClient()
diff --git a/docs/how-to-guides/quick-start.md b/docs/how-to-guides/quick-start.md
index 83c2ca46c7c..d099fe012df 100644
--- a/docs/how-to-guides/quick-start.md
+++ b/docs/how-to-guides/quick-start.md
@@ -165,7 +165,7 @@ More command details can be found in [CLI reference](../reference/pf-command-ref
 In SDK, connections can be created and managed with `PFClient`.
 
 ```python
-from promptflow import PFClient
+from promptflow.client import PFClient
 from promptflow.entities import AzureOpenAIConnection
 
 # PFClient can help manage your runs and connections.
@@ -254,7 +254,7 @@ pf flow test --flow web-classification  # "web-classification" is the directory
 The return value of `test` function is the flow/node outputs.
 
 ```python
-from promptflow import PFClient
+from promptflow.client import PFClient
 
 pf = PFClient()
 
diff --git a/docs/how-to-guides/run-and-evaluate-a-flow/index.md b/docs/how-to-guides/run-and-evaluate-a-flow/index.md
index 6747c7ef8c5..a7ad5de1c81 100644
--- a/docs/how-to-guides/run-and-evaluate-a-flow/index.md
+++ b/docs/how-to-guides/run-and-evaluate-a-flow/index.md
@@ -58,7 +58,7 @@ More details can be found with `pf run --help`
 :sync: SDK
 
 ```python
-from promptflow import PFClient
+from promptflow.client import PFClient
 
 # Please protect the entry point by using `if __name__ == '__main__':`,
 # otherwise it would cause unintended side effect when promptflow spawn worker processes.
@@ -98,7 +98,7 @@ pf.visualize(base_run)
 
 ![q_0](../../media/how-to-guides/quick-start/flow-run-visualize-single-run.png)
 
-Feel free to check [Promptflow Python Library Reference](../../reference/python-library-reference/promptflow.md) for all SDK public interfaces.
+Feel free to check [Promptflow Python Library Reference](../../reference/python-library-reference/promptflow-devkit/promptflow.rst) for all SDK public interfaces.
 
 
 :::
@@ -180,7 +180,7 @@ After the run is finished, you can evaluate the run with below command, compared
 More details can be found in [Use column mapping](https://aka.ms/pf/column-mapping).
 
 ```python
-from promptflow import PFClient
+from promptflow.client import PFClient
 
 # PFClient can help manage your runs and connections.
 pf = PFClient()
@@ -239,7 +239,7 @@ Learn more about:
 - [Tune prompts with variants](../tune-prompts-with-variants.md)
 - [Deploy a flow](../deploy-a-flow/index.md)
 - [Manage runs](../manage-runs.md)
-- [Python library reference](../../reference/python-library-reference/promptflow.md)
+- [Python library reference](../../reference/python-library-reference/promptflow-core/promptflow.rst)
 
 ```{toctree}
 :maxdepth: 1
diff --git a/docs/how-to-guides/tune-prompts-with-variants.md b/docs/how-to-guides/tune-prompts-with-variants.md
index 8a7b2a171af..33ed3e00a07 100644
--- a/docs/how-to-guides/tune-prompts-with-variants.md
+++ b/docs/how-to-guides/tune-prompts-with-variants.md
@@ -80,7 +80,7 @@ pf run create --flow web-classification --data web-classification/data.jsonl --v
 :sync: SDK
 
 ```python
-from promptflow import PFClient
+from promptflow.client import PFClient
 
 pf = PFClient()  # get a promptflow client
 flow = "web-classification"
diff --git a/docs/index.md b/docs/index.md
index ec3a46fe756..9887f03971d 100644
--- a/docs/index.md
+++ b/docs/index.md
@@ -65,7 +65,7 @@ This documentation site contains guides for prompt flow [sdk, cli](https://pypi.
   content: "
     Reference provides technical information about prompt flow API.<br/><br/>
     - Command line Interface reference: [pf](reference/pf-command-reference.md)<br/>
-    - Python library reference: [promptflow](reference/python-library-reference/promptflow.md)<br/>
+    - Python library reference: [promptflow](reference/python-library-reference/promptflow-core/promptflow.rst)<br/>
     - Tool reference: [LLM Tool](reference/tools-reference/llm-tool.md), [Python Tool](reference/tools-reference/python-tool.md), [Prompt Tool](reference/tools-reference/prompt-tool.md)<br/>
   "
 ```
diff --git a/docs/media/cloud/flow-in-pipeline/pf-base-component.png b/docs/media/cloud/flow-in-pipeline/pf-base-component.png
new file mode 100644
index 00000000000..a2f3124111f
Binary files /dev/null and b/docs/media/cloud/flow-in-pipeline/pf-base-component.png differ
diff --git a/docs/media/cloud/flow-in-pipeline/pf-component-parameters.png b/docs/media/cloud/flow-in-pipeline/pf-component-parameters.png
new file mode 100644
index 00000000000..26acf866b7e
Binary files /dev/null and b/docs/media/cloud/flow-in-pipeline/pf-component-parameters.png differ
diff --git a/docs/reference/flow-yaml-schema-reference.md b/docs/reference/flow-yaml-schema-reference.md
index 7804eaf5aab..c9e0a54fb7f 100644
--- a/docs/reference/flow-yaml-schema-reference.md
+++ b/docs/reference/flow-yaml-schema-reference.md
@@ -8,28 +8,29 @@ The source JSON schema can be found at [Flow.schema.json](https://azuremlschemas
 
 ## YAML syntax
 
-| Key                        | Type      | Description                                                                                                                                                                                                       |
-|----------------------------|-----------|-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
-| `$schema`                  | string    | The YAML schema. If you use the prompt flow VS Code extension to author the YAML file, including `$schema` at the top of your file enables you to invoke schema and resource completions.              |
-| `inputs`                   | object    | Dictionary of flow inputs. The key is a name for the input within the context of the flow and the value is the flow input definition.                                                                             |
-| `inputs.<input_name>`      | object    | The flow input definition. See [Flow input](#flow-input) for the set of configurable properties.                                                                                                                  |
-| `outputs`                  | object    | Dictionary of flow outputs. The key is a name for the output within the context of the flow and the value is the flow output definition.                                                                          |
-| `outputs.<output_name>`    | object    | The component output definition. See [Flow output](#flow-output) for the set of configurable properties.                                                                                                          |
-| `nodes`                    | array     | Sets of dictionary of individual nodes to run as steps within the flow. Node can use built-in tool or third-party tool. See [Nodes](#nodes) for more information.                                                 |
-| `node_variants`            | object    | Dictionary of nodes with variants. The key is the node name and value contains variants definition and `default_variant_id`. See [Node variants](#node-variants) for more information.                            |
-| `environment`              | object    | The environment to use for the flow. The key can be `image` or `python_requirements_txt` and the value can be either a image or a python requirements text file.                                                  |
-| `additional_includes`      | array     | Additional includes is a list of files that can be shared among flows. Users can specify additional files and folders used by flow, and prompt flow will help copy them all to the snapshot during flow creation. |
+| Key                     | Type          | Description                                                                                                                                                                                                                                                             |
+|-------------------------|---------------|-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
+| `$schema`               | string        | The YAML schema. If you use the prompt flow VS Code extension to author the YAML file, including `$schema` at the top of your file enables you to invoke schema and resource completions.                                                                               |
+| `inputs`                | object        | Dictionary of flow inputs. The key is a name for the input within the context of the flow and the value is the flow input definition.                                                                                                                                   |
+| `inputs.<input_name>`   | object        | The flow input definition. See [Flow input](#flow-input) for the set of configurable properties.                                                                                                                                                                        |
+| `outputs`               | object        | Dictionary of flow outputs. The key is a name for the output within the context of the flow and the value is the flow output definition.                                                                                                                                |
+| `outputs.<output_name>` | object        | The component output definition. See [Flow output](#flow-output) for the set of configurable properties.                                                                                                                                                                |
+| `nodes`                 | array         | Sets of dictionary of individual nodes to run as steps within the flow. Node can use built-in tool or third-party tool. See [Nodes](#nodes) for more information.                                                                                                       |
+| `node_variants`         | object        | Dictionary of nodes with variants. The key is the node name and value contains variants definition and `default_variant_id`. See [Node variants](#node-variants) for more information.                                                                                  |
+| `environment`           | object        | The environment to use for the flow. The key can be `image` or `python_requirements_txt` and the value can be either a image or a python requirements text file.                                                                                                        |
+| `environment_variables` | object/string | Environment variables to set by specifying a property path and value. Example: `{"key1"="${my_connection.api_key}"}`. The value reference to connection keys will be resolved to the actual value, and all environment variables specified will be set into os.environ. |
+| `additional_includes`   | array         | Additional includes is a list of files that can be shared among flows. Users can specify additional files and folders used by flow, and prompt flow will help copy them all to the snapshot during flow creation.                                                       |
 
 
 ### Flow input
 
-| Key               | Type                                      | Description                                          | Allowed values                                      |
-|-------------------|-------------------------------------------|------------------------------------------------------|-----------------------------------------------------|
-| `type`            | string                                    | The type of flow input.                              | `int`, `double`, `bool`, `string`, `list`, `object`, `image` |
-| `description`     | string                                    | Description of the input.                            |                                                     |
-| `default`         | int, double, bool, string, list, object, image | The default value for the input.                     |                                                     |
-| `is_chat_input`   | boolean                                   | Whether the input is the chat flow input.            |                                                     |
-| `is_chat_history` | boolean                                   | Whether the input is the chat history for chat flow. |                                                     |
+| Key               | Type                                           | Description                                          | Allowed values                                               |
+|-------------------|------------------------------------------------|------------------------------------------------------|--------------------------------------------------------------|
+| `type`            | string                                         | The type of flow input.                              | `int`, `double`, `bool`, `string`, `list`, `object`, `image` |
+| `description`     | string                                         | Description of the input.                            |                                                              |
+| `default`         | int, double, bool, string, list, object, image | The default value for the input.                     |                                                              |
+| `is_chat_input`   | boolean                                        | Whether the input is the chat flow input.            |                                                              |
+| `is_chat_history` | boolean                                        | Whether the input is the chat history for chat flow. |                                                              |
 
 ### Flow output
 
@@ -43,28 +44,28 @@ The source JSON schema can be found at [Flow.schema.json](https://azuremlschemas
 ### Nodes
 Nodes is a set of node which is a dictionary with following fields. Below, we only show the common fields of a single node using built-in tool.
 
-| Key            | Type   | Description                                                                                                                                                                                                                                               | Allowed values                                                                                       |
-|----------------|--------|-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|------------------------------------------------------------------------------------------------------|
-| `name`         | string | The name of the node.                                                                                                                                                                                                                                     |                                                                                                      |
-| `type`         | string | The type of the node.                                                                                                                                                                                                                                     | Type of built-in tool like `Python`, `Prompt`, `LLM` and third-party tool like `Vector Search`, etc. |
-| `inputs`       | object | Dictionary of node inputs. The key is the input name and the value can be primitive value or a reference to the flow input or the node output, e.g. `${inputs.<flow_input_name>}`, `${<node_name>.output}` or `${<node_name>.output.<node_output_name>}`  |                                                                                                      |
-| `source`       | object | Dictionary of tool source used by the node. The key contains `type`, `path` and `tool`. The type can be `code`, `package` and `package_with_prompt`.                                                                                                      |                                                                                                      |
-| `provider`     | string | It indicates the provider of the tool. Used when the `type` is LLM.                                                                                                                                                                                       | `AzureOpenAI` or `OpenAI`                                                                            |
-| `connection`   | string | The connection name which has been created before. Used when the `type` is LLM.                                                                                                                                                                           |                                                                                                      |
-| `api`          | string | The api name of the provider. Used when the `type` is LLM.                                                                                                                                                                                                |                                                                                                      |
-| `module`       | string | The module name of the tool using by the node. Used when the `type` is LLM.                                                                                                                                                                               |                                                                                                      |
-| `use_variants` | bool   | Whether the node has variants.                                                                                                                                                                                                                            |                                                                                                      |
+| Key            | Type   | Description                                                                                                                                                                                                                                              | Allowed values                                                                                       |
+|----------------|--------|----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|------------------------------------------------------------------------------------------------------|
+| `name`         | string | The name of the node.                                                                                                                                                                                                                                    |                                                                                                      |
+| `type`         | string | The type of the node.                                                                                                                                                                                                                                    | Type of built-in tool like `Python`, `Prompt`, `LLM` and third-party tool like `Vector Search`, etc. |
+| `inputs`       | object | Dictionary of node inputs. The key is the input name and the value can be primitive value or a reference to the flow input or the node output, e.g. `${inputs.<flow_input_name>}`, `${<node_name>.output}` or `${<node_name>.output.<node_output_name>}` |                                                                                                      |
+| `source`       | object | Dictionary of tool source used by the node. The key contains `type`, `path` and `tool`. The type can be `code`, `package` and `package_with_prompt`.                                                                                                     |                                                                                                      |
+| `provider`     | string | It indicates the provider of the tool. Used when the `type` is LLM.                                                                                                                                                                                      | `AzureOpenAI` or `OpenAI`                                                                            |
+| `connection`   | string | The connection name which has been created before. Used when the `type` is LLM.                                                                                                                                                                          |                                                                                                      |
+| `api`          | string | The api name of the provider. Used when the `type` is LLM.                                                                                                                                                                                               |                                                                                                      |
+| `module`       | string | The module name of the tool using by the node. Used when the `type` is LLM.                                                                                                                                                                              |                                                                                                      |
+| `use_variants` | bool   | Whether the node has variants.                                                                                                                                                                                                                           |                                                                                                      |
 
 
 ### Node variants
 Node variants is a dictionary containing variants definition for nodes with variants with their respective node names as dictionary keys.
 Below, we explore the variants for a single node.
 
-| Key                  | Type     | Description                                                                                                                                                                                                                                                                                                   | Allowed values |
-|----------------------|----------|---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|----------------|
-| `<node_name>`        | string   | The name of the node.                                                                                                                                                                                                                                                                                         |                |
-| `default_variant_id` | string   | Default variant id.                                                                                                                                                                                                                                                                                           |                |
-| `variants `          | object   | This dictionary contains all node variations, with the variant id serving as the key and a node definition dictionary as the corresponding value.  Within the node definition dictionary, the key labeled 'node' should contain a variant definition similar to [Nodes](#nodes), excluding the 'name' field.  |                |
+| Key                  | Type   | Description                                                                                                                                                                                                                                                                                                  | Allowed values |
+|----------------------|--------|--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|----------------|
+| `<node_name>`        | string | The name of the node.                                                                                                                                                                                                                                                                                        |                |
+| `default_variant_id` | string | Default variant id.                                                                                                                                                                                                                                                                                          |                |
+| `variants `          | object | This dictionary contains all node variations, with the variant id serving as the key and a node definition dictionary as the corresponding value.  Within the node definition dictionary, the key labeled 'node' should contain a variant definition similar to [Nodes](#nodes), excluding the 'name' field. |                |
 
 
 
diff --git a/docs/reference/index.md b/docs/reference/index.md
index fe936290c69..9bf312217dc 100644
--- a/docs/reference/index.md
+++ b/docs/reference/index.md
@@ -5,6 +5,18 @@
 - [promptflow](https://pypi.org/project/promptflow):
 [![PyPI version](https://badge.fury.io/py/promptflow.svg)](https://badge.fury.io/py/promptflow)
 [![PyPI - Downloads](https://img.shields.io/pypi/dm/promptflow)](https://pypi.org/project/promptflow/)
+  - [promptflow-tracing](https://pypi.org/project/promptflow-tracing):
+  [![PyPI version](https://badge.fury.io/py/promptflow-tracing.svg)](https://badge.fury.io/py/promptflow-tracing)
+  [![PyPI - Downloads](https://img.shields.io/pypi/dm/promptflow-tracing)](https://pypi.org/project/promptflow-tracing/)
+  - [promptflow-core](https://pypi.org/project/promptflow-core):
+  [![PyPI version](https://badge.fury.io/py/promptflow-core.svg)](https://badge.fury.io/py/promptflow-core)
+  [![PyPI - Downloads](https://img.shields.io/pypi/dm/promptflow-core)](https://pypi.org/project/promptflow-core/)
+  - [promptflow-devkit](https://pypi.org/project/promptflow-devkit):
+  [![PyPI version](https://badge.fury.io/py/promptflow-devkit.svg)](https://badge.fury.io/py/promptflow-devkit)
+  [![PyPI - Downloads](https://img.shields.io/pypi/dm/promptflow-devkit)](https://pypi.org/project/promptflow-devkit/)
+  - [promptflow-azure](https://pypi.org/project/promptflow-azure):
+  [![PyPI version](https://badge.fury.io/py/promptflow-azure.svg)](https://badge.fury.io/py/promptflow-azure)
+  [![PyPI - Downloads](https://img.shields.io/pypi/dm/promptflow-azure)](https://pypi.org/project/promptflow-azure/)
 - [promptflow-tools](https://pypi.org/project/promptflow-tools/):
 [![PyPI version](https://badge.fury.io/py/promptflow-tools.svg)](https://badge.fury.io/py/promptflow-tools)
 [![PyPI - Downloads](https://img.shields.io/pypi/dm/promptflow-tools)](https://pypi.org/project/promptflow-tools/)
@@ -23,7 +35,10 @@ pfazure-command-reference.md
 :caption: Python Library Reference
 :maxdepth: 4
 
-python-library-reference/promptflow
+python-library-reference/promptflow-tracing/promptflow
+python-library-reference/promptflow-core/promptflow
+python-library-reference/promptflow-devkit/promptflow
+python-library-reference/promptflow-azure/promptflow
 ```
 
 ```{toctree}
diff --git a/docs/reference/pf-command-reference.md b/docs/reference/pf-command-reference.md
index 4506e55c249..0f158ba7c7c 100644
--- a/docs/reference/pf-command-reference.md
+++ b/docs/reference/pf-command-reference.md
@@ -466,7 +466,7 @@ pf run create [--file]
               [--connections]
               [--set]
               [--source]
-              [--resume-from] # require promptflow>=1.7.0, and original run created with promptflow>=1.7.0
+              [--resume-from] # require promptflow>=1.8.0, and original run created with promptflow>=1.8.0
 ```
 
 #### Examples
@@ -495,7 +495,7 @@ Create a run from an existing run record folder.
 pf run create --source <path-to-run-folder>
 ```
 
-Create a run by specifying the `resume_from`. (Require promptflow>=1.7.0, and original run created with promptflow>=1.7.0)
+Create a run by specifying the `resume_from`. (Require promptflow>=1.8.0, and original run created with promptflow>=1.8.0)
 
 Succeeded line result of the original run will be reused, only remaining/failed lines will be run.
 
diff --git a/docs/reference/pfazure-command-reference.md b/docs/reference/pfazure-command-reference.md
index 05554b2bb57..04ee2692cd9 100644
--- a/docs/reference/pfazure-command-reference.md
+++ b/docs/reference/pfazure-command-reference.md
@@ -192,7 +192,7 @@ pfazure run create [--file]
                    [--stream]
                    [--environment-variables]
                    [--connections]
-                   [--resume-from] # require promptflow>=1.7.0, and original run created with promptflow>=1.7.0
+                   [--resume-from] # require promptflow>=1.8.0
                    [--set]
                    [--subscription]
                    [--resource-group]
@@ -207,7 +207,17 @@ Local path to the YAML file containing the prompt flow run specification; can be
 
 `--flow`
 
-Local path to the flow directory.
+The flow source to create the run. It could be:
+- Local path to the flow directory.
+  ```bash
+  pfazure run create --flow <path-to-flow-directory> --data <path-to-data-file> --column-mapping <key-value-pair>
+  ```
+- The flow name on azure with a prefix `azureml:`. Flow name is a guid that can be found from 2 ways:
+  - After creating a flow to azure, it can be found in the printed message in "name" attribute.
+  - Open a flow in azure portal, the guid is in the url. e.g. https://ml.azure.com/prompts/flow/{workspace-id}/{flow-name}/xxx
+  ```bash
+  pfazure run create --flow azureml:<flow-name> --data <path-to-data-file> --column-mapping <key-value-pair>
+  ```
 
 `--data`
 
@@ -244,7 +254,7 @@ Example: `--connections node1.connection=test_llm_connection node1.deployment_na
 
 `--resume-from`
 
-Create a run resume from an existing run. (Require promptflow>=1.7.0, and original run created with promptflow>=1.7.0)
+Create a run resume from an existing run. (Require promptflow>=1.8.0)
 Example: `--resume-from <run_name>`
 
 `--set`
diff --git a/docs/reference/tools-reference/llm-tool.md b/docs/reference/tools-reference/llm-tool.md
index fcb932382cc..ecfdde13b77 100644
--- a/docs/reference/tools-reference/llm-tool.md
+++ b/docs/reference/tools-reference/llm-tool.md
@@ -83,3 +83,71 @@ Setup connections to provisioned resources in prompt flow.
 1. Setup and select the connections to OpenAI resources
 2. Configure LLM model api and its parameters
 3. Prepare the Prompt with [guidance](./prompt-tool.md#how-to-write-prompt).
+
+## How to write a chat prompt?
+
+_To grasp the fundamentals of creating a chat prompt, begin with [this section](./prompt-tool.md#how-to-write-prompt) for an introductory understanding of jinja._
+
+We offer a method to distinguish between different roles in a chat prompt, such as "system", "user", "assistant". Each role can have "name" and "content" properties.
+
+### Sample 1
+```jinja
+# system:
+You are a helpful assistant.
+
+{% for item in chat_history %}
+# user:
+{{item.inputs.question}}
+# assistant:
+{{item.outputs.answer}}
+{% endfor %}
+
+# user:
+{{question}}
+```
+
+In LLM tool, the prompt is transformed to match the [openai messages](https://platform.openai.com/docs/api-reference/chat/create#chat-create-messages) structure before sending to openai chat API.
+
+```
+[
+    {
+        "role": "system",
+        "content": "You are a helpful assistant."
+    },
+    {
+        "role": "user",
+        "content": "<question-of-chat-history-round-1>"
+    },
+    {
+        "role": "assistant",
+        "content": "<answer-of-chat-history-round-1>"
+    },
+    ...
+    {
+        "role": "user",
+        "content": "<question>"
+    }
+]
+```
+
+### Sample 2
+```jinja
+# system:
+{# For role naming customization, the following syntax is used #}
+## name:
+Alice
+## content:
+You are a bot can tell good jokes.
+```
+
+In LLM tool, the prompt is transformed to match the [openai messages](https://platform.openai.com/docs/api-reference/chat/create#chat-create-messages) structure before sending to openai chat API.
+
+```
+[
+    {
+        "role": "system",
+        "name": "Alice",
+        "content": "You are a bot can tell good jokes."
+    }
+]
+```
diff --git a/docs/reference/tools-reference/python-tool.md b/docs/reference/tools-reference/python-tool.md
index f98837b03e8..5d63819a997 100644
--- a/docs/reference/tools-reference/python-tool.md
+++ b/docs/reference/tools-reference/python-tool.md
@@ -62,7 +62,7 @@ The snippet below shows the basic structure of a tool function. Promptflow will
 from function parameters and type annotations.
 
 ```python
-from promptflow import tool
+from promptflow.core import tool
 from promptflow.connections import CustomConnection
 
 # The inputs section will change based on the arguments of the tool function, after you save the code
@@ -97,7 +97,7 @@ we have introduced support for keyword arguments (kwargs) in the Python tool.
 
 
 ```python
-from promptflow import tool
+from promptflow.core import tool
 
 
 @tool
diff --git a/examples/README.md b/examples/README.md
index a080a48caee..9ce7e31ca3b 100644
--- a/examples/README.md
+++ b/examples/README.md
@@ -109,8 +109,8 @@
 ------|--------|-------------
 | [quickstart.ipynb](tutorials/get-started/quickstart.ipynb) | [![samples_getstarted_quickstart](https://github.com/microsoft/promptflow/actions/workflows/samples_getstarted_quickstart.yml/badge.svg?branch=main)](https://github.com/microsoft/promptflow/actions/workflows/samples_getstarted_quickstart.yml) | A quickstart tutorial to run a flow and evaluate it. |
 | [quickstart-azure.ipynb](tutorials/get-started/quickstart-azure.ipynb) | [![samples_getstarted_quickstartazure](https://github.com/microsoft/promptflow/actions/workflows/samples_getstarted_quickstartazure.yml/badge.svg?branch=main)](https://github.com/microsoft/promptflow/actions/workflows/samples_getstarted_quickstartazure.yml) | A quickstart tutorial to run a flow in Azure AI and evaluate it. |
-| [pipeline.ipynb](tutorials/flow-in-pipeline/pipeline.ipynb) | [![samples_flowinpipeline_pipeline](https://github.com/microsoft/promptflow/actions/workflows/samples_flowinpipeline_pipeline.yml/badge.svg?branch=main)](https://github.com/microsoft/promptflow/actions/workflows/samples_flowinpipeline_pipeline.yml) | Create pipeline using components to run a distributed job with tensorflow |
 | [flow-as-function.ipynb](tutorials/get-started/flow-as-function.ipynb) | [![samples_getstarted_flowasfunction](https://github.com/microsoft/promptflow/actions/workflows/samples_getstarted_flowasfunction.yml/badge.svg?branch=main)](https://github.com/microsoft/promptflow/actions/workflows/samples_getstarted_flowasfunction.yml) | This guide will walk you through the main scenarios of executing flow as a function. |
+| [pipeline.ipynb](tutorials/run-flow-with-pipeline/pipeline.ipynb) | [![samples_runflowwithpipeline_pipeline](https://github.com/microsoft/promptflow/actions/workflows/samples_runflowwithpipeline_pipeline.yml/badge.svg?branch=main)](https://github.com/microsoft/promptflow/actions/workflows/samples_runflowwithpipeline_pipeline.yml) | Create pipeline using components to run a distributed job with tensorflow |
 | [cloud-run-management.ipynb](tutorials/run-management/cloud-run-management.ipynb) | [![samples_runmanagement_cloudrunmanagement](https://github.com/microsoft/promptflow/actions/workflows/samples_runmanagement_cloudrunmanagement.yml/badge.svg?branch=main)](https://github.com/microsoft/promptflow/actions/workflows/samples_runmanagement_cloudrunmanagement.yml) | Flow run management in Azure AI |
 | [run-management.ipynb](tutorials/run-management/run-management.ipynb) | [![samples_runmanagement_runmanagement](https://github.com/microsoft/promptflow/actions/workflows/samples_runmanagement_runmanagement.yml/badge.svg?branch=main)](https://github.com/microsoft/promptflow/actions/workflows/samples_runmanagement_runmanagement.yml) | Flow run management |
 | [connection.ipynb](connections/connection.ipynb) | [![samples_connections_connection](https://github.com/microsoft/promptflow/actions/workflows/samples_connections_connection.yml/badge.svg?branch=main)](https://github.com/microsoft/promptflow/actions/workflows/samples_connections_connection.yml) | Manage various types of connections using sdk |
diff --git a/examples/connections/connection.ipynb b/examples/connections/connection.ipynb
index aadc6b8fbbe..ac1eae0478d 100644
--- a/examples/connections/connection.ipynb
+++ b/examples/connections/connection.ipynb
@@ -46,7 +46,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "from promptflow import PFClient\n",
+    "from promptflow.client import PFClient\n",
     "\n",
     "# client can help manage your runs and connections.\n",
     "client = PFClient()"
diff --git a/examples/flows/chat/chat-basic/README.md b/examples/flows/chat/chat-basic/README.md
index c518e0394f1..f6babab329c 100644
--- a/examples/flows/chat/chat-basic/README.md
+++ b/examples/flows/chat/chat-basic/README.md
@@ -15,21 +15,21 @@ pip install -r requirements.txt
 
 In this flow, you will learn
 - how to compose a chat flow.
-- prompt template format of LLM tool chat api. Message delimiter is a separate line containing role name and colon: "system:", "user:", "assistant:".
+- prompt template format of LLM tool chat api. Message delimiter is a separate line containing "#", role name and colon: "# system:", "# user:", "# assistant:".
 See <a href="https://platform.openai.com/docs/api-reference/chat/create#chat/create-role" target="_blank">OpenAI Chat</a> for more about message role.
     ```jinja
-    system:
+    # system:
     You are a chatbot having a conversation with a human.
 
-    user:
+    # user:
     {{question}}
     ```
 - how to consume chat history in prompt.
     ```jinja
     {% for item in chat_history %}
-    user:
+    # user:
     {{item.inputs.question}}
-    assistant:
+    # assistant:
     {{item.outputs.answer}}
     {% endfor %}
     ```
@@ -48,7 +48,7 @@ pf connection create --file ../../../connections/azure_openai.yml --set api_key=
 
 Note in [flow.dag.yaml](flow.dag.yaml) we are using connection named `open_ai_connection`.
 ```bash
-# show registered connection 
+# show registered connection
 pf connection show --name open_ai_connection
 ```
 
@@ -56,7 +56,7 @@ pf connection show --name open_ai_connection
 
 ```bash
 # run chat flow with default question in flow.dag.yaml
-pf flow test --flow . 
+pf flow test --flow .
 
 # run chat flow with new question
 pf flow test --flow . --inputs question="What's Azure Machine Learning?"
diff --git a/examples/flows/chat/chat-basic/chat.jinja2 b/examples/flows/chat/chat-basic/chat.jinja2
index c5e811e1969..96bfb60a45b 100644
--- a/examples/flows/chat/chat-basic/chat.jinja2
+++ b/examples/flows/chat/chat-basic/chat.jinja2
@@ -1,12 +1,12 @@
-system:
+# system:
 You are a helpful assistant.
 
 {% for item in chat_history %}
-user:
+# user:
 {{item.inputs.question}}
-assistant:
+# assistant:
 {{item.outputs.answer}}
 {% endfor %}
 
-user:
+# user:
 {{question}}
\ No newline at end of file
diff --git a/examples/flows/chat/chat-math-variant/chat.jinja2 b/examples/flows/chat/chat-math-variant/chat.jinja2
index b29be64b174..99ccef45c92 100644
--- a/examples/flows/chat/chat-math-variant/chat.jinja2
+++ b/examples/flows/chat/chat-math-variant/chat.jinja2
@@ -1,13 +1,13 @@
-system:
-You are an assistant to calculate the answer to the provided math problems. 
+# system:
+You are an assistant to calculate the answer to the provided math problems.
 Please return the final numerical answer only, without any accompanying reasoning or explanation.
 
 {% for item in chat_history %}
-user:
+# user:
 {{item.inputs.question}}
-assistant:
+# assistant:
 {{item.outputs.answer}}
 {% endfor %}
 
-user:
+# user:
 {{question}}
diff --git a/examples/flows/chat/chat-math-variant/chat_variant_1.jinja2 b/examples/flows/chat/chat-math-variant/chat_variant_1.jinja2
index d54532b39df..2b77e8a3850 100644
--- a/examples/flows/chat/chat-math-variant/chat_variant_1.jinja2
+++ b/examples/flows/chat/chat-math-variant/chat_variant_1.jinja2
@@ -1,23 +1,23 @@
-system:
+# system:
 You are an assistant to calculate the answer to the provided math problems.
 Please think step by step.
 Return the final numerical answer only and any accompanying reasoning or explanation seperately as json format.
 
-user:
+# user:
 A jar contains two red marbles, three green marbles, ten white marbles and no other marbles. Two marbles are randomly drawn from this jar without replacement. What is the probability that these two marbles drawn will both be red? Express your answer as a common fraction.
-assistant:
+# assistant:
 {Chain of thought: "The total number of marbles is $2+3+10=15$.  The probability that the first marble drawn will be red is $2/15$.  Then, there will be one red left, out of 14.  Therefore, the probability of drawing out two red marbles will be: $$\\frac{2}{15}\\cdot\\frac{1}{14}=\\boxed{\\frac{1}{105}}$$.", "answer": "1/105"}
-user:
+# user:
 Find the greatest common divisor of $7!$ and $(5!)^2.$
-assistant:
+# assistant:
 {"Chain of thought": "$$ \\begin{array} 7! &=& 7 \\cdot 6 \\cdot 5 \\cdot 4 \\cdot 3 \\cdot 2 \\cdot 1 &=& 2^4 \\cdot 3^2 \\cdot 5^1 \\cdot 7^1 \\\\ (5!)^2 &=& (5 \\cdot 4 \\cdot 3 \\cdot 2 \\cdot 1)^2 &=& 2^6 \\cdot 3^2 \\cdot 5^2 \\\\ \\text{gcd}(7!, (5!)^2) &=& 2^4 \\cdot 3^2 \\cdot 5^1 &=& \\boxed{720} \\end{array} $$.", "answer": "720"}
 {% for item in chat_history %}
 
-user:
+# user:
 {{item.inputs.question}}
-assistant:
+# assistant:
 {{item.outputs.answer}}
 {% endfor %}
 
-user:
+# user:
 {{question}}
\ No newline at end of file
diff --git a/examples/flows/chat/chat-math-variant/chat_variant_2.jinja2 b/examples/flows/chat/chat-math-variant/chat_variant_2.jinja2
index 35c65a9624f..1a5c5d4f242 100644
--- a/examples/flows/chat/chat-math-variant/chat_variant_2.jinja2
+++ b/examples/flows/chat/chat-math-variant/chat_variant_2.jinja2
@@ -1,39 +1,39 @@
-system:
+# system:
 You are an assistant to calculate the answer to the provided math problems.
 Please think step by step.
 Return the final numerical answer only and any accompanying reasoning or explanation seperately as json format.
 
-user:
+# user:
 A jar contains two red marbles, three green marbles, ten white marbles and no other marbles. Two marbles are randomly drawn from this jar without replacement. What is the probability that these two marbles drawn will both be red? Express your answer as a common fraction.
-assistant:
+# assistant:
 {Chain of thought: "The total number of marbles is $2+3+10=15$.  The probability that the first marble drawn will be red is $2/15$.  Then, there will be one red left, out of 14.  Therefore, the probability of drawing out two red marbles will be: $$\\frac{2}{15}\\cdot\\frac{1}{14}=\\boxed{\\frac{1}{105}}$$.", "answer": "1/105"}
-user:
+# user:
 Find the greatest common divisor of $7!$ and $(5!)^2.$
-assistant:
+# assistant:
 {"Chain of thought": "$$ \\begin{array} 7! &=& 7 \\cdot 6 \\cdot 5 \\cdot 4 \\cdot 3 \\cdot 2 \\cdot 1 &=& 2^4 \\cdot 3^2 \\cdot 5^1 \\cdot 7^1 \\\\ (5!)^2 &=& (5 \\cdot 4 \\cdot 3 \\cdot 2 \\cdot 1)^2 &=& 2^6 \\cdot 3^2 \\cdot 5^2 \\\\ \\text{gcd}(7!, (5!)^2) &=& 2^4 \\cdot 3^2 \\cdot 5^1 &=& \\boxed{720} \\end{array} $$.", "answer": "720"}
-user:
+# user:
 A club has 10 members, 5 boys and 5 girls.  Two of the members are chosen at random.  What is the probability that they are both girls?
-assistant:
+# assistant:
 {"Chain of thought": "There are $\\binomial{10}{2} = 45$ ways to choose two members of the group, and there are $\\binomial{5}{2} = 10$ ways to choose two girls.  Therefore, the probability that two members chosen at random are girls is $\\dfrac{10}{45} = \\boxed{\\dfrac{2}{9}}$.", "answer": "2/9"}
-user:
+# user:
 Allison, Brian and Noah each have a 6-sided cube. All of the faces on Allison's cube have a 5. The faces on Brian's cube are numbered 1, 2, 3, 4, 5 and 6. Three of the faces on Noah's cube have a 2 and three of the faces have a 6. All three cubes are rolled. What is the probability that Allison's roll is greater than each of Brian's and Noah's? Express your answer as a common fraction.
-assistant:
+# assistant:
 {"Chain of thought": "Since Allison will always roll a 5, we must calculate the probability that both Brian and Noah roll a 4 or lower. The probability of Brian rolling a 4 or lower is $\\frac{4}{6} = \\frac{2}{3}$ since Brian has a standard die. Noah, however, has a $\\frac{3}{6} = \\frac{1}{2}$ probability of rolling a 4 or lower, since the only way he can do so is by rolling one of his 3 sides that have a 2. So, the probability of both of these independent events occurring is $\\frac{2}{3} \\cdot \\frac{1}{2} = \\boxed{\\frac{1}{3}}$.", "answer": "1/3"}
-user:
+# user:
 Compute $\\density binomial{50}{2}$.
-assistant:
+# assistant:
 {"Chain of thought": "$\\density binomial{50}{2} = \\dfrac{50!}{2!48!}=\\dfrac{50\\times 49}{2\\times 1}=\\boxed{1225}.$", "answer": "1225"}
-user:
+# user:
 The set $S = \\{1, 2, 3, \\ldots , 49, 50\\}$ contains the first $50$ positive integers.  After the multiples of 2 and the multiples of 3 are removed, how many integers remain in the set $S$?
-assistant:
+# assistant:
 {"Chain of thought": "The set $S$ contains $25$ multiples of 2 (that is, even numbers).  When these are removed, the set $S$ is left with only the odd integers from 1 to 49. At this point, there are $50-25=25$ integers in $S$. We still need to remove the multiples of 3 from $S$.\n\nSince $S$ only contains odd integers after the multiples of 2 are removed,  we must remove the odd multiples of 3 between 1 and 49.  These are 3, 9, 15, 21, 27, 33, 39, 45, of which there are 8.  Therefore, the number of integers remaining in the set $S$ is $25 - 8 = \\boxed{17}$.", "answer": "17"}
 {% for item in chat_history %}
 
-user:
+# user:
 {{item.inputs.question}}
-assistant:
+# assistant:
 {{item.outputs.answer}}
 {% endfor %}
 
-user:
+# user:
 {{question}}
diff --git a/examples/flows/chat/chat-math-variant/extract_result.py b/examples/flows/chat/chat-math-variant/extract_result.py
index 5ce86dd507a..e9b1a0bbb07 100644
--- a/examples/flows/chat/chat-math-variant/extract_result.py
+++ b/examples/flows/chat/chat-math-variant/extract_result.py
@@ -1,4 +1,4 @@
-from promptflow import tool
+from promptflow.core import tool
 import json
 import re
 
diff --git a/examples/flows/chat/chat-with-pdf/build_index_tool.py b/examples/flows/chat/chat-with-pdf/build_index_tool.py
index abbff62e7ff..21ec19aad6a 100644
--- a/examples/flows/chat/chat-with-pdf/build_index_tool.py
+++ b/examples/flows/chat/chat-with-pdf/build_index_tool.py
@@ -1,4 +1,4 @@
-from promptflow import tool
+from promptflow.core import tool
 from chat_with_pdf.build_index import create_faiss_index
 
 
diff --git a/examples/flows/chat/chat-with-pdf/chat_with_pdf_tool.py b/examples/flows/chat/chat-with-pdf/chat_with_pdf_tool.py
index 334755322df..6cc3bc1cff5 100644
--- a/examples/flows/chat/chat-with-pdf/chat_with_pdf_tool.py
+++ b/examples/flows/chat/chat-with-pdf/chat_with_pdf_tool.py
@@ -1,4 +1,4 @@
-from promptflow import tool
+from promptflow.core import tool
 from chat_with_pdf.main import chat_with_pdf
 
 
diff --git a/examples/flows/chat/chat-with-pdf/download_tool.py b/examples/flows/chat/chat-with-pdf/download_tool.py
index 72baa90fac5..08dc07a038b 100644
--- a/examples/flows/chat/chat-with-pdf/download_tool.py
+++ b/examples/flows/chat/chat-with-pdf/download_tool.py
@@ -1,4 +1,4 @@
-from promptflow import tool
+from promptflow.core import tool
 from chat_with_pdf.download import download
 
 
diff --git a/examples/flows/chat/chat-with-pdf/find_context_tool.py b/examples/flows/chat/chat-with-pdf/find_context_tool.py
index 246ceea2b73..1806bf2c048 100644
--- a/examples/flows/chat/chat-with-pdf/find_context_tool.py
+++ b/examples/flows/chat/chat-with-pdf/find_context_tool.py
@@ -1,4 +1,4 @@
-from promptflow import tool
+from promptflow.core import tool
 from chat_with_pdf.find_context import find_context
 
 
diff --git a/examples/flows/chat/chat-with-pdf/qna_tool.py b/examples/flows/chat/chat-with-pdf/qna_tool.py
index 98e131b75ef..1c414485e11 100644
--- a/examples/flows/chat/chat-with-pdf/qna_tool.py
+++ b/examples/flows/chat/chat-with-pdf/qna_tool.py
@@ -1,4 +1,4 @@
-from promptflow import tool
+from promptflow.core import tool
 from chat_with_pdf.qna import qna
 
 
diff --git a/examples/flows/chat/chat-with-pdf/rewrite_question_tool.py b/examples/flows/chat/chat-with-pdf/rewrite_question_tool.py
index 8808c4a00f5..ea2152ca725 100644
--- a/examples/flows/chat/chat-with-pdf/rewrite_question_tool.py
+++ b/examples/flows/chat/chat-with-pdf/rewrite_question_tool.py
@@ -1,4 +1,4 @@
-from promptflow import tool
+from promptflow.core import tool
 from chat_with_pdf.rewrite_question import rewrite_question
 
 
diff --git a/examples/flows/chat/chat-with-pdf/setup_env.py b/examples/flows/chat/chat-with-pdf/setup_env.py
index 6b231b878c9..9457c2257d0 100644
--- a/examples/flows/chat/chat-with-pdf/setup_env.py
+++ b/examples/flows/chat/chat-with-pdf/setup_env.py
@@ -1,7 +1,7 @@
 import os
 from typing import Union
 
-from promptflow import tool
+from promptflow.core import tool
 from promptflow.connections import AzureOpenAIConnection, OpenAIConnection
 
 from chat_with_pdf.utils.lock import acquire_lock
diff --git a/examples/flows/chat/chat-with-wikipedia/README.md b/examples/flows/chat/chat-with-wikipedia/README.md
index 418d9142292..d721e1cc216 100644
--- a/examples/flows/chat/chat-with-wikipedia/README.md
+++ b/examples/flows/chat/chat-with-wikipedia/README.md
@@ -17,21 +17,21 @@ pip install -r requirements.txt
 
 In this flow, you will learn
 - how to compose a chat flow.
-- prompt template format of LLM tool chat api. Message delimiter is a separate line containing role name and colon: "system:", "user:", "assistant:".
+- prompt template format of LLM tool chat api. Message delimiter is a separate line containing "#", role name and colon: "# system:", "# user:", "# assistant:".
 See <a href="https://platform.openai.com/docs/api-reference/chat/create#chat/create-role" target="_blank">OpenAI Chat</a> for more about message role.
     ```jinja
-    system:
+    # system:
     You are a chatbot having a conversation with a human.
 
-    user:
+    # user:
     {{question}}
     ```
 - how to consume chat history in prompt.
     ```jinja
     {% for item in chat_history %}
-    user:
+    # user:
     {{item.inputs.question}}
-    assistant:
+    # assistant:
     {{item.outputs.answer}}
     {% endfor %}
     ```
@@ -50,7 +50,7 @@ pf connection create --file ../../../connections/azure_openai.yml --set api_key=
 
 Note in [flow.dag.yaml](flow.dag.yaml) we are using connection named `open_ai_connection`.
 ```bash
-# show registered connection 
+# show registered connection
 pf connection show --name open_ai_connection
 ```
 
@@ -58,7 +58,7 @@ pf connection show --name open_ai_connection
 
 ```bash
 # run chat flow with default question in flow.dag.yaml
-pf flow test --flow . 
+pf flow test --flow .
 
 # run chat flow with new question
 pf flow test --flow . --inputs question="What's Azure Machine Learning?"
diff --git a/examples/flows/chat/chat-with-wikipedia/augmented_chat.jinja2 b/examples/flows/chat/chat-with-wikipedia/augmented_chat.jinja2
index 0719d1fa09a..71e7377a348 100644
--- a/examples/flows/chat/chat-with-wikipedia/augmented_chat.jinja2
+++ b/examples/flows/chat/chat-with-wikipedia/augmented_chat.jinja2
@@ -1,4 +1,4 @@
-system:
+# system:
 You are a chatbot having a conversation with a human.
 Given the following extracted parts of a long document and a question, create a final answer with references ("SOURCES").
 If you don't know the answer, just say that you don't know. Don't try to make up an answer.
@@ -7,11 +7,11 @@ ALWAYS return a "SOURCES" part in your answer.
 {{contexts}}
 
 {% for item in chat_history %}
-user:
+# user:
 {{item.inputs.question}}
-assistant:
+# assistant:
 {{item.outputs.answer}}
 {% endfor %}
 
-user:
+# user:
 {{question}}
diff --git a/examples/flows/chat/chat-with-wikipedia/extract_query_from_question.jinja2 b/examples/flows/chat/chat-with-wikipedia/extract_query_from_question.jinja2
index 6b08923ddb8..f01976185c4 100644
--- a/examples/flows/chat/chat-with-wikipedia/extract_query_from_question.jinja2
+++ b/examples/flows/chat/chat-with-wikipedia/extract_query_from_question.jinja2
@@ -1,11 +1,11 @@
-system:
+# system:
 You are an AI assistant reading the transcript of a conversation between an AI and a human. Given an input question and conversation history, infer user real intent.
 
 The conversation history is provided just in case of a context (e.g. "What is this?" where "this" is defined in previous conversation).
 
 Return the output as query used for next round user message.
 
-user:
+# user:
 EXAMPLE
 Conversation history:
 Human: I want to find the best restaurants nearby, could you recommend some?
diff --git a/examples/flows/chat/chat-with-wikipedia/get_wiki_url.py b/examples/flows/chat/chat-with-wikipedia/get_wiki_url.py
index e371fea6d17..a93287da12c 100644
--- a/examples/flows/chat/chat-with-wikipedia/get_wiki_url.py
+++ b/examples/flows/chat/chat-with-wikipedia/get_wiki_url.py
@@ -3,7 +3,7 @@
 import bs4
 import requests
 
-from promptflow import tool
+from promptflow.core import tool
 
 
 def decode_str(string):
diff --git a/examples/flows/chat/chat-with-wikipedia/process_search_result.py b/examples/flows/chat/chat-with-wikipedia/process_search_result.py
index 4248ac0f3c1..cf7d98b4195 100644
--- a/examples/flows/chat/chat-with-wikipedia/process_search_result.py
+++ b/examples/flows/chat/chat-with-wikipedia/process_search_result.py
@@ -1,4 +1,4 @@
-from promptflow import tool
+from promptflow.core import tool
 
 
 @tool
diff --git a/examples/flows/chat/chat-with-wikipedia/search_result_from_url.py b/examples/flows/chat/chat-with-wikipedia/search_result_from_url.py
index b5344012788..920e0a7d0a5 100644
--- a/examples/flows/chat/chat-with-wikipedia/search_result_from_url.py
+++ b/examples/flows/chat/chat-with-wikipedia/search_result_from_url.py
@@ -6,7 +6,7 @@
 import bs4
 import requests
 
-from promptflow import tool
+from promptflow.core import tool
 
 session = requests.Session()
 
diff --git a/examples/flows/chat/use_functions_with_chat_models/run_function.py b/examples/flows/chat/use_functions_with_chat_models/run_function.py
index d1a97198b28..37029bf893a 100644
--- a/examples/flows/chat/use_functions_with_chat_models/run_function.py
+++ b/examples/flows/chat/use_functions_with_chat_models/run_function.py
@@ -1,4 +1,4 @@
-from promptflow import tool
+from promptflow.core import tool
 import json
 
 
diff --git a/examples/flows/chat/use_functions_with_chat_models/use_functions_with_chat_models.jinja2 b/examples/flows/chat/use_functions_with_chat_models/use_functions_with_chat_models.jinja2
index 05b4b43a2ac..86f8d8a79ec 100644
--- a/examples/flows/chat/use_functions_with_chat_models/use_functions_with_chat_models.jinja2
+++ b/examples/flows/chat/use_functions_with_chat_models/use_functions_with_chat_models.jinja2
@@ -1,27 +1,27 @@
-system:
+# system:
 Don't make assumptions about what values to plug into functions. Ask for clarification if a user request is ambiguous.
 
 {% for item in chat_history %}
-user:
+# user:
 {{item.inputs.question}}
 
 {% if 'function_call' in item.outputs.llm_output %}
-assistant:
+# assistant:
 Function generation requested, function = {{item.outputs.llm_output.function_call.name}}, args = {{item.outputs.llm_output.function_call.arguments}}
 
-function:
-name:
+# function:
+## name:
 {{item.outputs.llm_output.function_call.name}}
-content:
+## content:
 {{item.outputs.answer}}
 
 {% else %}
-assistant:
+# assistant:
 {{item.outputs.llm_output}}}}
 
 {% endif %}}
 
 {% endfor %}
 
-user:
+# user:
 {{question}}
\ No newline at end of file
diff --git a/examples/flows/evaluation/eval-accuracy-maths-to-code/aggregate.py b/examples/flows/evaluation/eval-accuracy-maths-to-code/aggregate.py
index ae265856ca4..d8f16d0ecc1 100644
--- a/examples/flows/evaluation/eval-accuracy-maths-to-code/aggregate.py
+++ b/examples/flows/evaluation/eval-accuracy-maths-to-code/aggregate.py
@@ -1,6 +1,6 @@
 from typing import List
-from promptflow import tool
-from promptflow import log_metric
+from promptflow.core import tool
+from promptflow.core import log_metric
 
 
 @tool
diff --git a/examples/flows/evaluation/eval-accuracy-maths-to-code/line_process.py b/examples/flows/evaluation/eval-accuracy-maths-to-code/line_process.py
index a4d78553c95..4d2f701a09e 100644
--- a/examples/flows/evaluation/eval-accuracy-maths-to-code/line_process.py
+++ b/examples/flows/evaluation/eval-accuracy-maths-to-code/line_process.py
@@ -1,4 +1,4 @@
-from promptflow import tool
+from promptflow.core import tool
 
 
 @tool
diff --git a/examples/flows/evaluation/eval-basic/README.md b/examples/flows/evaluation/eval-basic/README.md
index 163712cddc0..08a786bf0da 100644
--- a/examples/flows/evaluation/eval-basic/README.md
+++ b/examples/flows/evaluation/eval-basic/README.md
@@ -15,7 +15,7 @@ pip install -r requirements.txt
 
 In this flow, you will learn
 - how to compose a point based evaluation flow, where you can calculate point-wise metrics.
-- the way to log metrics. use `from promptflow import log_metric`
+- the way to log metrics. use `from promptflow.core import log_metric`
     - see file [aggregate](aggregate.py).
 
 ### 1. Test flow with single line data
diff --git a/examples/flows/evaluation/eval-basic/aggregate.py b/examples/flows/evaluation/eval-basic/aggregate.py
index 098a6bd89d9..7bc0df88d4d 100644
--- a/examples/flows/evaluation/eval-basic/aggregate.py
+++ b/examples/flows/evaluation/eval-basic/aggregate.py
@@ -1,6 +1,6 @@
 from typing import List
 
-from promptflow import tool
+from promptflow.core import tool
 
 
 @tool
@@ -18,7 +18,7 @@ def aggregate(processed_results: List[str]):
     print(processed_results)
 
     # Log metric for each variant
-    from promptflow import log_metric
+    from promptflow.core import log_metric
     log_metric(key="results_num", value=results_num)
 
     return results_num
diff --git a/examples/flows/evaluation/eval-basic/line_process.py b/examples/flows/evaluation/eval-basic/line_process.py
index e61befd9d50..34f029e1be6 100644
--- a/examples/flows/evaluation/eval-basic/line_process.py
+++ b/examples/flows/evaluation/eval-basic/line_process.py
@@ -1,4 +1,4 @@
-from promptflow import tool
+from promptflow.core import tool
 
 
 @tool
diff --git a/examples/flows/evaluation/eval-chat-math/aggregate.py b/examples/flows/evaluation/eval-chat-math/aggregate.py
index 537fd66cf53..0e28e035a52 100644
--- a/examples/flows/evaluation/eval-chat-math/aggregate.py
+++ b/examples/flows/evaluation/eval-chat-math/aggregate.py
@@ -1,6 +1,6 @@
 from typing import List
-from promptflow import tool
-from promptflow import log_metric
+from promptflow.core import tool
+from promptflow.core import log_metric
 
 
 @tool
diff --git a/examples/flows/evaluation/eval-chat-math/line_process.py b/examples/flows/evaluation/eval-chat-math/line_process.py
index 454049e91af..96a29760bdf 100644
--- a/examples/flows/evaluation/eval-chat-math/line_process.py
+++ b/examples/flows/evaluation/eval-chat-math/line_process.py
@@ -1,4 +1,4 @@
-from promptflow import tool
+from promptflow.core import tool
 
 
 def string_to_number(raw_string: str) -> float:
diff --git a/examples/flows/evaluation/eval-classification-accuracy/README.md b/examples/flows/evaluation/eval-classification-accuracy/README.md
index 517df33ea7a..5a6509e8e29 100644
--- a/examples/flows/evaluation/eval-classification-accuracy/README.md
+++ b/examples/flows/evaluation/eval-classification-accuracy/README.md
@@ -9,7 +9,7 @@ Tools used in this flow：
 
 In this flow, you will learn
 - how to compose a point based evaluation flow, where you can calculate point-wise metrics.
-- the way to log metrics. use `from promptflow import log_metric`
+- the way to log metrics. use `from promptflow.core import log_metric`
     - see file [calculate_accuracy.py](calculate_accuracy.py)
 
 ### 0. Setup connection
diff --git a/examples/flows/evaluation/eval-classification-accuracy/calculate_accuracy.py b/examples/flows/evaluation/eval-classification-accuracy/calculate_accuracy.py
index 35fbc75977b..4ed635bcd31 100644
--- a/examples/flows/evaluation/eval-classification-accuracy/calculate_accuracy.py
+++ b/examples/flows/evaluation/eval-classification-accuracy/calculate_accuracy.py
@@ -1,6 +1,6 @@
 from typing import List
 
-from promptflow import log_metric, tool
+from promptflow.core import log_metric, tool
 
 
 @tool
diff --git a/examples/flows/evaluation/eval-classification-accuracy/grade.py b/examples/flows/evaluation/eval-classification-accuracy/grade.py
index 96a1106a048..62527ff2ec8 100644
--- a/examples/flows/evaluation/eval-classification-accuracy/grade.py
+++ b/examples/flows/evaluation/eval-classification-accuracy/grade.py
@@ -1,4 +1,4 @@
-from promptflow import tool
+from promptflow.core import tool
 
 
 @tool
diff --git a/examples/flows/evaluation/eval-entity-match-rate/cleansing.py b/examples/flows/evaluation/eval-entity-match-rate/cleansing.py
index a017d7f1ab9..31ffea06b98 100644
--- a/examples/flows/evaluation/eval-entity-match-rate/cleansing.py
+++ b/examples/flows/evaluation/eval-entity-match-rate/cleansing.py
@@ -1,5 +1,5 @@
 from typing import List
-from promptflow import tool
+from promptflow.core import tool
 
 
 @tool
diff --git a/examples/flows/evaluation/eval-entity-match-rate/log_metrics.py b/examples/flows/evaluation/eval-entity-match-rate/log_metrics.py
index bf45cca8b31..896ff8d38fd 100644
--- a/examples/flows/evaluation/eval-entity-match-rate/log_metrics.py
+++ b/examples/flows/evaluation/eval-entity-match-rate/log_metrics.py
@@ -1,6 +1,6 @@
-from promptflow import tool
+from promptflow.core import tool
 from typing import List
-from promptflow import log_metric
+from promptflow.core import log_metric
 
 # The inputs section will change based on the arguments of the tool function, after you save the code
 # Adding type to arguments and return value will help the system show the types properly
diff --git a/examples/flows/evaluation/eval-entity-match-rate/match.py b/examples/flows/evaluation/eval-entity-match-rate/match.py
index ae7dc993130..a948a9018be 100644
--- a/examples/flows/evaluation/eval-entity-match-rate/match.py
+++ b/examples/flows/evaluation/eval-entity-match-rate/match.py
@@ -1,4 +1,4 @@
-from promptflow import tool
+from promptflow.core import tool
 from typing import List
 
 
diff --git a/examples/flows/evaluation/eval-groundedness/aggregate.py b/examples/flows/evaluation/eval-groundedness/aggregate.py
index 7ca1c8b04c1..ad565a458cf 100644
--- a/examples/flows/evaluation/eval-groundedness/aggregate.py
+++ b/examples/flows/evaluation/eval-groundedness/aggregate.py
@@ -1,5 +1,5 @@
 from typing import List
-from promptflow import tool
+from promptflow.core import tool
 
 
 @tool
@@ -23,7 +23,7 @@ def aggregate(groundedness_scores: List[float]):
     aggregated_results["groundedness"] /= aggregated_results["count"]
 
     # Log metric for each variant
-    from promptflow import log_metric
+    from promptflow.core import log_metric
 
     log_metric(key="groundedness", value=aggregated_results["groundedness"])
 
diff --git a/examples/flows/evaluation/eval-groundedness/calc_groundedness.py b/examples/flows/evaluation/eval-groundedness/calc_groundedness.py
index 0375ad65729..020d19d7520 100644
--- a/examples/flows/evaluation/eval-groundedness/calc_groundedness.py
+++ b/examples/flows/evaluation/eval-groundedness/calc_groundedness.py
@@ -1,4 +1,4 @@
-from promptflow import tool
+from promptflow.core import tool
 import re
 
 
diff --git a/examples/flows/evaluation/eval-groundedness/gpt_groundedness.md b/examples/flows/evaluation/eval-groundedness/gpt_groundedness.md
index b72f45b0e46..ff730f346ce 100644
--- a/examples/flows/evaluation/eval-groundedness/gpt_groundedness.md
+++ b/examples/flows/evaluation/eval-groundedness/gpt_groundedness.md
@@ -1,4 +1,4 @@
-user:
+# user:
 # Instructions
 
 * There are many chatbots that can answer users questions based on the context given from different sources like search results, or snippets from books/papers. They try to understand users's question and then get context by either performing search from search engines, databases or books/papers for relevant content. Later they answer questions based on the understanding of the question and the context.
@@ -7,7 +7,7 @@ user:
     * Score 1 if the answer is stating things that none of them present in the given context
     * If there're multiple facts in the answer and some of them present in the given context while some of them not, score between 1 to 10 based on fraction of information supported by context
 * Just respond with the score, nothing else.
-  
+
 # Real work
 
 ## Question
diff --git a/examples/flows/evaluation/eval-perceived-intelligence/aggregate.py b/examples/flows/evaluation/eval-perceived-intelligence/aggregate.py
index a73f3f29845..60e1cfc1d1e 100644
--- a/examples/flows/evaluation/eval-perceived-intelligence/aggregate.py
+++ b/examples/flows/evaluation/eval-perceived-intelligence/aggregate.py
@@ -1,5 +1,5 @@
 from typing import List
-from promptflow import tool
+from promptflow.core import tool
 
 
 @tool
@@ -14,7 +14,7 @@ def aggregate(perceived_intelligence_score: List[float]):
     aggregated_results["perceived_intelligence_score"] /= aggregated_results["count"]
 
     # Log metric for each variant
-    from promptflow import log_metric
+    from promptflow.core import log_metric
 
     log_metric(key="perceived_intelligence_score", value=aggregated_results["perceived_intelligence_score"])
 
diff --git a/examples/flows/evaluation/eval-perceived-intelligence/gpt_perceived_intelligence.md b/examples/flows/evaluation/eval-perceived-intelligence/gpt_perceived_intelligence.md
index d9f7c836ab0..8b1e73e4091 100644
--- a/examples/flows/evaluation/eval-perceived-intelligence/gpt_perceived_intelligence.md
+++ b/examples/flows/evaluation/eval-perceived-intelligence/gpt_perceived_intelligence.md
@@ -1,4 +1,4 @@
-user:
+# user:
 # Instructions
 
 * There are many chatbots that can answer users questions based on the context given from different sources like search results, or snippets from books/papers. They try to understand users's question and then get context by either performing search from search engines, databases or books/papers for relevant content. Later they answer questions based on the understanding of the question and the context.
@@ -8,7 +8,7 @@ user:
     * Score 1 means the answer is poor for perceived intelligence
     * Score 5 means the answer is normal for perceived intelligence
 * Just respond with the score, nothing else.
-  
+
 # Real work
 
 ## Question
diff --git a/examples/flows/evaluation/eval-perceived-intelligence/parse_score.py b/examples/flows/evaluation/eval-perceived-intelligence/parse_score.py
index 0375ad65729..020d19d7520 100644
--- a/examples/flows/evaluation/eval-perceived-intelligence/parse_score.py
+++ b/examples/flows/evaluation/eval-perceived-intelligence/parse_score.py
@@ -1,4 +1,4 @@
-from promptflow import tool
+from promptflow.core import tool
 import re
 
 
diff --git a/examples/flows/evaluation/eval-qna-non-rag/ada_cosine_similarity_score.py b/examples/flows/evaluation/eval-qna-non-rag/ada_cosine_similarity_score.py
index ed1aa87f2d2..5d584365f9a 100644
--- a/examples/flows/evaluation/eval-qna-non-rag/ada_cosine_similarity_score.py
+++ b/examples/flows/evaluation/eval-qna-non-rag/ada_cosine_similarity_score.py
@@ -1,4 +1,4 @@
-from promptflow import tool
+from promptflow.core import tool
 import numpy as np
 from numpy.linalg import norm
 
diff --git a/examples/flows/evaluation/eval-qna-non-rag/aggregate_variants_results.py b/examples/flows/evaluation/eval-qna-non-rag/aggregate_variants_results.py
index 3b0973f2f1d..0eef04a5ea3 100644
--- a/examples/flows/evaluation/eval-qna-non-rag/aggregate_variants_results.py
+++ b/examples/flows/evaluation/eval-qna-non-rag/aggregate_variants_results.py
@@ -1,5 +1,5 @@
 from typing import List
-from promptflow import tool, log_metric
+from promptflow.core import tool, log_metric
 import numpy as np
 
 
diff --git a/examples/flows/evaluation/eval-qna-non-rag/concat_scores.py b/examples/flows/evaluation/eval-qna-non-rag/concat_scores.py
index 94a90846bf1..8238672570a 100644
--- a/examples/flows/evaluation/eval-qna-non-rag/concat_scores.py
+++ b/examples/flows/evaluation/eval-qna-non-rag/concat_scores.py
@@ -1,4 +1,4 @@
-from promptflow import tool
+from promptflow.core import tool
 import numpy as np
 import re
 
diff --git a/examples/flows/evaluation/eval-qna-non-rag/f1_score.py b/examples/flows/evaluation/eval-qna-non-rag/f1_score.py
index 8f7ce449980..4b3d17f5fd9 100644
--- a/examples/flows/evaluation/eval-qna-non-rag/f1_score.py
+++ b/examples/flows/evaluation/eval-qna-non-rag/f1_score.py
@@ -1,4 +1,4 @@
-from promptflow import tool
+from promptflow.core import tool
 from collections import Counter
 
 
diff --git a/examples/flows/evaluation/eval-qna-non-rag/gpt_coherence_prompt.jinja2 b/examples/flows/evaluation/eval-qna-non-rag/gpt_coherence_prompt.jinja2
index be2ddcc43fd..92b3894e857 100644
--- a/examples/flows/evaluation/eval-qna-non-rag/gpt_coherence_prompt.jinja2
+++ b/examples/flows/evaluation/eval-qna-non-rag/gpt_coherence_prompt.jinja2
@@ -1,7 +1,7 @@
-system:
+# system:
 You are an AI assistant. You will be given the definition of an evaluation metric for assessing the quality of an answer in a question-answering task. Your job is to compute an accurate evaluation score using the provided evaluation metric.
 
-user:
+# user:
 Coherence of an answer is measured by how well all the sentences fit together and sound naturally as a whole. Consider the overall quality of the answer when evaluating coherence. Given the question and answer, score the coherence of answer between one to five stars using the following rating scale:
 One star: the answer completely lacks coherence
 Two stars: the answer mostly lacks coherence
diff --git a/examples/flows/evaluation/eval-qna-non-rag/gpt_fluency_prompt.jinja2 b/examples/flows/evaluation/eval-qna-non-rag/gpt_fluency_prompt.jinja2
index 5d08093f9d6..3fb8df41d52 100644
--- a/examples/flows/evaluation/eval-qna-non-rag/gpt_fluency_prompt.jinja2
+++ b/examples/flows/evaluation/eval-qna-non-rag/gpt_fluency_prompt.jinja2
@@ -1,6 +1,6 @@
-system:
+# system:
 You are an AI assistant. You will be given the definition of an evaluation metric for assessing the quality of an answer in a question-answering task. Your job is to compute an accurate evaluation score using the provided evaluation metric.
-user:
+# user:
 Fluency measures the quality of individual sentences in the answer, and whether they are well-written and grammatically correct. Consider the quality of individual sentences when evaluating fluency. Given the question and answer, score the fluency of the answer between one to five stars using the following rating scale:
 One star: the answer completely lacks fluency
 Two stars: the answer mostly lacks fluency
diff --git a/examples/flows/evaluation/eval-qna-non-rag/gpt_groundedness_prompt.jinja2 b/examples/flows/evaluation/eval-qna-non-rag/gpt_groundedness_prompt.jinja2
index 0122ede248d..ae367ff6c61 100644
--- a/examples/flows/evaluation/eval-qna-non-rag/gpt_groundedness_prompt.jinja2
+++ b/examples/flows/evaluation/eval-qna-non-rag/gpt_groundedness_prompt.jinja2
@@ -1,6 +1,6 @@
-system:
+# system:
 You are an AI assistant. You will be given the definition of an evaluation metric for assessing the quality of an answer in a question-answering task. Your job is to compute an accurate evaluation score using the provided evaluation metric.
-user:
+# user:
 You will be presented with a CONTEXT and an ANSWER about that CONTEXT. You need to decide whether the ANSWER is entailed by the CONTEXT by choosing one of the following rating:
 1. 5: The ANSWER follows logically from the information contained in the CONTEXT.
 2. 1: The ANSWER is logically false from the information contained in the CONTEXT.
diff --git a/examples/flows/evaluation/eval-qna-non-rag/gpt_relevance_prompt.jinja2 b/examples/flows/evaluation/eval-qna-non-rag/gpt_relevance_prompt.jinja2
index 7d3f874cfc6..ffdc56effa0 100644
--- a/examples/flows/evaluation/eval-qna-non-rag/gpt_relevance_prompt.jinja2
+++ b/examples/flows/evaluation/eval-qna-non-rag/gpt_relevance_prompt.jinja2
@@ -1,6 +1,6 @@
-system:
+# system:
 You are an AI assistant. You will be given the definition of an evaluation metric for assessing the quality of an answer in a question-answering task. Your job is to compute an accurate evaluation score using the provided evaluation metric.
-user:
+# user:
 Relevance measures how well the answer addresses the main aspects of the question, based on the context. Consider whether all and only the important aspects are contained in the answer when evaluating relevance. Given the context and question, score the relevance of the answer between one to five stars using the following rating scale:
 One star: the answer completely lacks relevance
 Two stars: the answer mostly lacks relevance
diff --git a/examples/flows/evaluation/eval-qna-non-rag/gpt_similarity_prompt.jinja2 b/examples/flows/evaluation/eval-qna-non-rag/gpt_similarity_prompt.jinja2
index a2f4059a3de..3ee08d310db 100644
--- a/examples/flows/evaluation/eval-qna-non-rag/gpt_similarity_prompt.jinja2
+++ b/examples/flows/evaluation/eval-qna-non-rag/gpt_similarity_prompt.jinja2
@@ -1,6 +1,6 @@
-system:
+# system:
 You are an AI assistant. You will be given the definition of an evaluation metric for assessing the quality of an answer in a question-answering task. Your job is to compute an accurate evaluation score using the provided evaluation metric.
-user:
+# user:
 Equivalence, as a metric, measures the similarity between the predicted answer and the correct answer. If the information and content in the predicted answer is similar or equivalent to the correct answer, then the value of the Equivalence metric should be high, else it should be low. Given the question, correct answer, and predicted answer, determine the value of Equivalence metric using the following rating scale:
 One star: the predicted answer is not at all similar to the correct answer
 Two stars: the predicted answer is mostly not similar to the correct answer
diff --git a/examples/flows/evaluation/eval-qna-non-rag/select_metrics.py b/examples/flows/evaluation/eval-qna-non-rag/select_metrics.py
index 0a2db17d8de..2fcb853aed2 100644
--- a/examples/flows/evaluation/eval-qna-non-rag/select_metrics.py
+++ b/examples/flows/evaluation/eval-qna-non-rag/select_metrics.py
@@ -1,4 +1,4 @@
-from promptflow import tool
+from promptflow.core import tool
 
 
 @tool
diff --git a/examples/flows/evaluation/eval-qna-non-rag/validate_input.py b/examples/flows/evaluation/eval-qna-non-rag/validate_input.py
index 02702bb1c51..1f6e15296e4 100644
--- a/examples/flows/evaluation/eval-qna-non-rag/validate_input.py
+++ b/examples/flows/evaluation/eval-qna-non-rag/validate_input.py
@@ -1,4 +1,4 @@
-from promptflow import tool
+from promptflow.core import tool
 
 
 @tool
diff --git a/examples/flows/evaluation/eval-qna-rag-metrics/aggregate_variants_results.py b/examples/flows/evaluation/eval-qna-rag-metrics/aggregate_variants_results.py
index fcff09f5ae7..19d7cd848df 100644
--- a/examples/flows/evaluation/eval-qna-rag-metrics/aggregate_variants_results.py
+++ b/examples/flows/evaluation/eval-qna-rag-metrics/aggregate_variants_results.py
@@ -1,5 +1,5 @@
 from typing import List
-from promptflow import tool, log_metric
+from promptflow.core import tool, log_metric
 import numpy as np
 
 
diff --git a/examples/flows/evaluation/eval-qna-rag-metrics/concat_scores.py b/examples/flows/evaluation/eval-qna-rag-metrics/concat_scores.py
index 955c835116d..f15b4fba8df 100644
--- a/examples/flows/evaluation/eval-qna-rag-metrics/concat_scores.py
+++ b/examples/flows/evaluation/eval-qna-rag-metrics/concat_scores.py
@@ -1,4 +1,4 @@
-from promptflow import tool
+from promptflow.core import tool
 import numpy as np
 
 
diff --git a/examples/flows/evaluation/eval-qna-rag-metrics/parse_generation_score.py b/examples/flows/evaluation/eval-qna-rag-metrics/parse_generation_score.py
index bbddf346c42..1be541f89a7 100644
--- a/examples/flows/evaluation/eval-qna-rag-metrics/parse_generation_score.py
+++ b/examples/flows/evaluation/eval-qna-rag-metrics/parse_generation_score.py
@@ -1,4 +1,4 @@
-from promptflow import tool
+from promptflow.core import tool
 import re
 
 
diff --git a/examples/flows/evaluation/eval-qna-rag-metrics/parse_groundedness_score.py b/examples/flows/evaluation/eval-qna-rag-metrics/parse_groundedness_score.py
index bbcc4d455d9..bdd0ba53c9d 100644
--- a/examples/flows/evaluation/eval-qna-rag-metrics/parse_groundedness_score.py
+++ b/examples/flows/evaluation/eval-qna-rag-metrics/parse_groundedness_score.py
@@ -1,4 +1,4 @@
-from promptflow import tool
+from promptflow.core import tool
 import re
 
 
diff --git a/examples/flows/evaluation/eval-qna-rag-metrics/parse_retrival_score.py b/examples/flows/evaluation/eval-qna-rag-metrics/parse_retrival_score.py
index ec8f084b9a9..e9e362ecffe 100644
--- a/examples/flows/evaluation/eval-qna-rag-metrics/parse_retrival_score.py
+++ b/examples/flows/evaluation/eval-qna-rag-metrics/parse_retrival_score.py
@@ -1,4 +1,4 @@
-from promptflow import tool
+from promptflow.core import tool
 import re
 
 
diff --git a/examples/flows/evaluation/eval-qna-rag-metrics/rag_generation_prompt.jinja2 b/examples/flows/evaluation/eval-qna-rag-metrics/rag_generation_prompt.jinja2
index 4c332a332cc..e876cf6891c 100644
--- a/examples/flows/evaluation/eval-qna-rag-metrics/rag_generation_prompt.jinja2
+++ b/examples/flows/evaluation/eval-qna-rag-metrics/rag_generation_prompt.jinja2
@@ -1,4 +1,4 @@
-system:
+# system:
 You will be provided a question, a conversation history, fetched documents related to the question and a response to the question in the domain. You task is to evaluate the quality of the provided response by following the steps below:
 - Understand the context of the question based on the conversation history.
 - Generate a reference answer that is only based on the conversation history, question, and fetched documents. Don't generate the reference answer based on your own knowledge.
@@ -10,7 +10,7 @@ You will be provided a question, a conversation history, fetched documents relat
     - 1 - Completely Irrelevant: The provided response should never be used for answering this question based on the reference answer and conversation history.
 - You need to rate the provided response to be 5, if the reference answer can not be generated since no relevant documents were retrieved.
 - You need to first provide a scoring reason for the evaluation according to the above criteria, and then provide a score for the quality of the provided response.
-- You need to translate the provided response into English if it's in another language. 
+- You need to translate the provided response into English if it's in another language.
 - Your final response must include both the reference answer and the evaluation result. The evaluation result should be written in English. Your response should be in the following format:
 ```
 [assistant](#evaluation result)
@@ -26,7 +26,7 @@ Quality score: [insert score here]/5
 ```
 - Your answer must end with <|im_end|>.
 
-user:
+# user:
 #conversation history
 
 #question
@@ -36,6 +36,6 @@ user:
 #provided response
 {{answer}}
 
-assistant:
+# assistant:
 #evaluation result
 <start reference answer>"""
\ No newline at end of file
diff --git a/examples/flows/evaluation/eval-qna-rag-metrics/rag_groundedness_prompt.jinja2 b/examples/flows/evaluation/eval-qna-rag-metrics/rag_groundedness_prompt.jinja2
index 34ac60a92c5..a0c6ce3a9f2 100644
--- a/examples/flows/evaluation/eval-qna-rag-metrics/rag_groundedness_prompt.jinja2
+++ b/examples/flows/evaluation/eval-qna-rag-metrics/rag_groundedness_prompt.jinja2
@@ -1,15 +1,15 @@
-system:
+# system:
 You are a helpful assistant.
-user:
+# user:
 Your task is to check and rate if factual information in chatbot's reply is all grounded to retrieved documents.
-You will be given a question, chatbot's response to the question, a chat history between this chatbot and human, and a list of retrieved documents in json format. 
+You will be given a question, chatbot's response to the question, a chat history between this chatbot and human, and a list of retrieved documents in json format.
 The chatbot must base its response exclusively on factual information extracted from the retrieved documents, utilizing paraphrasing, summarization, or inference techniques. When the chatbot responds to information that is not mentioned in or cannot be inferred from the retrieved documents, we refer to it as a grounded issue.
 
 To rate the groundness of chat response, follow the below steps:
 1. Review the chat history to understand better about the question and chat response
-2. Look for all the factual information in chatbot's response 
-3. Compare the factual information in chatbot's response with the retrieved documents. Check if there are any facts that are not in the retrieved documents at all,or that contradict or distort the facts in the retrieved documents. If there are, write them down. If there are none, leave it blank. Note that some facts may be implied or suggested by the retrieved documents, but not explicitly stated. In that case, use your best judgment to decide if the fact is grounded or not. 
-   For example, if the retrieved documents mention that a film was nominated for 12 awards, and chatbot's reply states the same, you can consider that fact as grounded, as it is directly taken from the retrieved documents. 
+2. Look for all the factual information in chatbot's response
+3. Compare the factual information in chatbot's response with the retrieved documents. Check if there are any facts that are not in the retrieved documents at all,or that contradict or distort the facts in the retrieved documents. If there are, write them down. If there are none, leave it blank. Note that some facts may be implied or suggested by the retrieved documents, but not explicitly stated. In that case, use your best judgment to decide if the fact is grounded or not.
+   For example, if the retrieved documents mention that a film was nominated for 12 awards, and chatbot's reply states the same, you can consider that fact as grounded, as it is directly taken from the retrieved documents.
    However, if the retrieved documents do not mention the film won any awards at all, and chatbot reply states that the film won some awards, you should consider that fact as not grounded.
 4. Rate how well grounded the chatbot response is on a Likert scale from 1 to 5 judging if chatbot response has no ungrounded facts. (higher better)
    5: agree strongly
@@ -17,8 +17,8 @@ To rate the groundness of chat response, follow the below steps:
    3: neither agree or disagree
    2: disagree
    1: disagree strongly
-   If the chatbot response used information from outside sources, or made claims that are not backed up by the retrieved documents, give it a low score. 
-5. Your answer should follow the format: 
+   If the chatbot response used information from outside sources, or made claims that are not backed up by the retrieved documents, give it a low score.
+5. Your answer should follow the format:
     <Quality reasoning:> [insert reasoning here]
     <Quality score: [insert score here]/5>
 Your answer must end with <Input for Labeling End>.
diff --git a/examples/flows/evaluation/eval-qna-rag-metrics/rag_retrieval_prompt.jinja2 b/examples/flows/evaluation/eval-qna-rag-metrics/rag_retrieval_prompt.jinja2
index 640b42e407c..72c8ef52170 100644
--- a/examples/flows/evaluation/eval-qna-rag-metrics/rag_retrieval_prompt.jinja2
+++ b/examples/flows/evaluation/eval-qna-rag-metrics/rag_retrieval_prompt.jinja2
@@ -1,16 +1,16 @@
-system:
+# system:
 You are a helpful assistant.
-user:
+# user:
 A chat history between user and bot is shown below
-A list of documents is shown below in json format, and each document has one unique id. 
+A list of documents is shown below in json format, and each document has one unique id.
 These listed documents are used as contex to answer the given question.
-The task is to score the relevance between the documents and the potential answer to the given question in the range of 1 to 5. 
+The task is to score the relevance between the documents and the potential answer to the given question in the range of 1 to 5.
 1 means none of the documents is relevant to the question at all. 5 means either one of the document or combination of a few documents is ideal for answering the given question.
 Think through step by step:
 - Summarize each given document first
-- Determine the underlying intent of the given question, when the question is ambiguous, refer to the given chat history 
-- Measure how suitable each document to the given question, list the document id and the corresponding relevance score. 
-- Summarize the overall relevance of given list of documents to the given question after # Overall Reason, note that the answer to the question can solely from single document or a combination of multiple documents. 
+- Determine the underlying intent of the given question, when the question is ambiguous, refer to the given chat history
+- Measure how suitable each document to the given question, list the document id and the corresponding relevance score.
+- Summarize the overall relevance of given list of documents to the given question after # Overall Reason, note that the answer to the question can solely from single document or a combination of multiple documents.
 - Finally, output "# Result" followed by a score from 1 to 5.
 
 # Question
diff --git a/examples/flows/evaluation/eval-qna-rag-metrics/select_metrics.py b/examples/flows/evaluation/eval-qna-rag-metrics/select_metrics.py
index 29702208831..9aa3a44605d 100644
--- a/examples/flows/evaluation/eval-qna-rag-metrics/select_metrics.py
+++ b/examples/flows/evaluation/eval-qna-rag-metrics/select_metrics.py
@@ -1,4 +1,4 @@
-from promptflow import tool
+from promptflow.core import tool
 
 
 @tool
diff --git a/examples/flows/evaluation/eval-qna-rag-metrics/validate_input.py b/examples/flows/evaluation/eval-qna-rag-metrics/validate_input.py
index 66ec5774edd..796a9eec03a 100644
--- a/examples/flows/evaluation/eval-qna-rag-metrics/validate_input.py
+++ b/examples/flows/evaluation/eval-qna-rag-metrics/validate_input.py
@@ -1,4 +1,4 @@
-from promptflow import tool
+from promptflow.core import tool
 
 
 def is_valid(input_item):
diff --git a/examples/flows/evaluation/eval-summarization/average_scores.py b/examples/flows/evaluation/eval-summarization/average_scores.py
index e10b4bd8a93..16c59b5528a 100644
--- a/examples/flows/evaluation/eval-summarization/average_scores.py
+++ b/examples/flows/evaluation/eval-summarization/average_scores.py
@@ -1,6 +1,6 @@
 from typing import Dict, List
 
-from promptflow import log_metric, tool
+from promptflow.core import log_metric, tool
 
 
 @tool
diff --git a/examples/flows/evaluation/eval-summarization/data.jsonl b/examples/flows/evaluation/eval-summarization/data.jsonl
index 07d5faea353..26e87cf4fa8 100644
--- a/examples/flows/evaluation/eval-summarization/data.jsonl
+++ b/examples/flows/evaluation/eval-summarization/data.jsonl
@@ -1,2 +1,2 @@
-{"document": "this is a test document", "summary": "test document"}
-{"document": "this is a test document2", "summary": "test document2"}
+{"document": "this is a test document", "summary": "test document"}
+{"document": "this is a test document2", "summary": "test document2"}
diff --git a/examples/flows/evaluation/eval-summarization/flow.dag.yaml b/examples/flows/evaluation/eval-summarization/flow.dag.yaml
index b5cd0dd93e6..1a98cb33404 100644
--- a/examples/flows/evaluation/eval-summarization/flow.dag.yaml
+++ b/examples/flows/evaluation/eval-summarization/flow.dag.yaml
@@ -1,104 +1,104 @@
-$schema: https://azuremlschemas.azureedge.net/promptflow/latest/Flow.schema.json
-environment:
-  python_requirements_txt: requirements.txt
-inputs:
-  document:
-    type: string
-  summary:
-    type: string
-outputs:
-  coherence:
-    type: double
-    reference: ${score_coherence.output}
-  consistency:
-    type: double
-    reference: ${score_consistency.output}
-  fluency:
-    type: double
-    reference: ${score_fluency.output}
-  relevance:
-    type: double
-    reference: ${score_relevance.output}
-nodes:
-- name: prompt_coherence
-  type: prompt
-  source:
-    type: code
-    path: prompts/coherence.jinja2
-  inputs:
-    Document: ${inputs.document}
-    Summary: ${inputs.summary}
-- name: score_coherence
-  type: python
-  source:
-    type: code
-    path: geval.py
-  inputs:
-    connection: open_ai_connection
-    prompt_with_src_and_gen: ${prompt_coherence.output}
-    max_score: 5
-    deployment_name: gpt-4
-- name: prompt_consistency
-  type: prompt
-  source:
-    type: code
-    path: prompts/consistency.jinja2
-  inputs:
-    Document: ${inputs.document}
-    Summary: ${inputs.summary}
-- name: score_consistency
-  type: python
-  source:
-    type: code
-    path: geval.py
-  inputs:
-    connection: open_ai_connection
-    prompt_with_src_and_gen: ${prompt_consistency.output}
-    max_score: 5
-    deployment_name: gpt-4
-- name: prompt_fluency
-  type: prompt
-  source:
-    type: code
-    path: prompts/fluency.jinja2
-  inputs:
-    Summary: ${inputs.summary}
-- name: score_fluency
-  type: python
-  source:
-    type: code
-    path: geval.py
-  inputs:
-    connection: open_ai_connection
-    prompt_with_src_and_gen: ${prompt_fluency.output}
-    max_score: 3
-    deployment_name: gpt-4
-- name: prompt_relevance
-  type: prompt
-  source:
-    type: code
-    path: prompts/relevance.jinja2
-  inputs:
-    Document: ${inputs.document}
-    Summary: ${inputs.summary}
-- name: score_relevance
-  type: python
-  source:
-    type: code
-    path: geval.py
-  inputs:
-    connection: open_ai_connection
-    prompt_with_src_and_gen: ${prompt_relevance.output}
-    max_score: 5
-    deployment_name: gpt-4
-- name: average_scores
-  type: python
-  source:
-    type: code
-    path: average_scores.py
-  inputs:
-    fluency_list: ${score_fluency.output}
-    consistency_list: ${score_consistency.output}
-    relevance_list: ${score_relevance.output}
-    coherence_list: ${score_coherence.output}
-  aggregation: true
+$schema: https://azuremlschemas.azureedge.net/promptflow/latest/Flow.schema.json
+environment:
+  python_requirements_txt: requirements.txt
+inputs:
+  document:
+    type: string
+  summary:
+    type: string
+outputs:
+  coherence:
+    type: double
+    reference: ${score_coherence.output}
+  consistency:
+    type: double
+    reference: ${score_consistency.output}
+  fluency:
+    type: double
+    reference: ${score_fluency.output}
+  relevance:
+    type: double
+    reference: ${score_relevance.output}
+nodes:
+- name: prompt_coherence
+  type: prompt
+  source:
+    type: code
+    path: prompts/coherence.jinja2
+  inputs:
+    Document: ${inputs.document}
+    Summary: ${inputs.summary}
+- name: score_coherence
+  type: python
+  source:
+    type: code
+    path: geval.py
+  inputs:
+    connection: open_ai_connection
+    prompt_with_src_and_gen: ${prompt_coherence.output}
+    max_score: 5
+    deployment_name: gpt-4
+- name: prompt_consistency
+  type: prompt
+  source:
+    type: code
+    path: prompts/consistency.jinja2
+  inputs:
+    Document: ${inputs.document}
+    Summary: ${inputs.summary}
+- name: score_consistency
+  type: python
+  source:
+    type: code
+    path: geval.py
+  inputs:
+    connection: open_ai_connection
+    prompt_with_src_and_gen: ${prompt_consistency.output}
+    max_score: 5
+    deployment_name: gpt-4
+- name: prompt_fluency
+  type: prompt
+  source:
+    type: code
+    path: prompts/fluency.jinja2
+  inputs:
+    Summary: ${inputs.summary}
+- name: score_fluency
+  type: python
+  source:
+    type: code
+    path: geval.py
+  inputs:
+    connection: open_ai_connection
+    prompt_with_src_and_gen: ${prompt_fluency.output}
+    max_score: 3
+    deployment_name: gpt-4
+- name: prompt_relevance
+  type: prompt
+  source:
+    type: code
+    path: prompts/relevance.jinja2
+  inputs:
+    Document: ${inputs.document}
+    Summary: ${inputs.summary}
+- name: score_relevance
+  type: python
+  source:
+    type: code
+    path: geval.py
+  inputs:
+    connection: open_ai_connection
+    prompt_with_src_and_gen: ${prompt_relevance.output}
+    max_score: 5
+    deployment_name: gpt-4
+- name: average_scores
+  type: python
+  source:
+    type: code
+    path: average_scores.py
+  inputs:
+    fluency_list: ${score_fluency.output}
+    consistency_list: ${score_consistency.output}
+    relevance_list: ${score_relevance.output}
+    coherence_list: ${score_coherence.output}
+  aggregation: true
diff --git a/examples/flows/integrations/azure-ai-language/analyze_documents/create_document.py b/examples/flows/integrations/azure-ai-language/analyze_documents/create_document.py
index d891b1c4a96..7728ec39788 100644
--- a/examples/flows/integrations/azure-ai-language/analyze_documents/create_document.py
+++ b/examples/flows/integrations/azure-ai-language/analyze_documents/create_document.py
@@ -1,4 +1,4 @@
-from promptflow import tool
+from promptflow.core import tool
 
 
 @tool
diff --git a/examples/flows/integrations/azure-ai-language/analyze_documents/parse_skill_to_text.py b/examples/flows/integrations/azure-ai-language/analyze_documents/parse_skill_to_text.py
index 7bf7d4e1c3a..acc7d2d6df9 100644
--- a/examples/flows/integrations/azure-ai-language/analyze_documents/parse_skill_to_text.py
+++ b/examples/flows/integrations/azure-ai-language/analyze_documents/parse_skill_to_text.py
@@ -1,4 +1,4 @@
-from promptflow import tool
+from promptflow.core import tool
 
 
 @tool
diff --git a/examples/flows/integrations/azure-ai-language/analyze_documents/read_file.py b/examples/flows/integrations/azure-ai-language/analyze_documents/read_file.py
index 18a73b32042..da4b58089c7 100644
--- a/examples/flows/integrations/azure-ai-language/analyze_documents/read_file.py
+++ b/examples/flows/integrations/azure-ai-language/analyze_documents/read_file.py
@@ -1,4 +1,4 @@
-from promptflow import tool
+from promptflow.core import tool
 
 
 @tool
diff --git a/examples/flows/integrations/azure-ai-language/analyze_meetings/create_conversation.py b/examples/flows/integrations/azure-ai-language/analyze_meetings/create_conversation.py
index fdd2b8dd730..44449e40f30 100644
--- a/examples/flows/integrations/azure-ai-language/analyze_meetings/create_conversation.py
+++ b/examples/flows/integrations/azure-ai-language/analyze_meetings/create_conversation.py
@@ -1,5 +1,5 @@
 from enum import Enum
-from promptflow import tool
+from promptflow.core import tool
 
 
 class ConversationModality(str, Enum):
diff --git a/examples/flows/integrations/azure-ai-language/analyze_meetings/create_document.py b/examples/flows/integrations/azure-ai-language/analyze_meetings/create_document.py
index d891b1c4a96..7728ec39788 100644
--- a/examples/flows/integrations/azure-ai-language/analyze_meetings/create_document.py
+++ b/examples/flows/integrations/azure-ai-language/analyze_meetings/create_document.py
@@ -1,4 +1,4 @@
-from promptflow import tool
+from promptflow.core import tool
 
 
 @tool
diff --git a/examples/flows/integrations/azure-ai-language/analyze_meetings/create_redacted_conversation.py b/examples/flows/integrations/azure-ai-language/analyze_meetings/create_redacted_conversation.py
index 283bfa28eb3..b63605d26cd 100644
--- a/examples/flows/integrations/azure-ai-language/analyze_meetings/create_redacted_conversation.py
+++ b/examples/flows/integrations/azure-ai-language/analyze_meetings/create_redacted_conversation.py
@@ -1,4 +1,4 @@
-from promptflow import tool
+from promptflow.core import tool
 
 
 @tool
diff --git a/examples/flows/integrations/azure-ai-language/analyze_meetings/extract_language_code.py b/examples/flows/integrations/azure-ai-language/analyze_meetings/extract_language_code.py
index 768cd1d1f28..ca17572dc37 100644
--- a/examples/flows/integrations/azure-ai-language/analyze_meetings/extract_language_code.py
+++ b/examples/flows/integrations/azure-ai-language/analyze_meetings/extract_language_code.py
@@ -1,4 +1,4 @@
-from promptflow import tool
+from promptflow.core import tool
 
 
 @tool
diff --git a/examples/flows/integrations/azure-ai-language/analyze_meetings/read_file.py b/examples/flows/integrations/azure-ai-language/analyze_meetings/read_file.py
index 18a73b32042..da4b58089c7 100644
--- a/examples/flows/integrations/azure-ai-language/analyze_meetings/read_file.py
+++ b/examples/flows/integrations/azure-ai-language/analyze_meetings/read_file.py
@@ -1,4 +1,4 @@
-from promptflow import tool
+from promptflow.core import tool
 
 
 @tool
diff --git a/examples/flows/integrations/azure-ai-language/multi_intent_conversational_language_understanding/chat.jinja2 b/examples/flows/integrations/azure-ai-language/multi_intent_conversational_language_understanding/chat.jinja2
index 88f82843980..449f8ddc352 100644
--- a/examples/flows/integrations/azure-ai-language/multi_intent_conversational_language_understanding/chat.jinja2
+++ b/examples/flows/integrations/azure-ai-language/multi_intent_conversational_language_understanding/chat.jinja2
@@ -1,13 +1,13 @@
-system:
+# system:
 Your task is to break down compound sentences into separate sentences.
 For simple sentences just repeat the user input.
 Remember to use a json array for the output.
 
-user:
+# user:
 The output must be a json array.
 
 Here are a few examples:
-user input: Play Eric Clapton and turn down the volume. 
+user input: Play Eric Clapton and turn down the volume.
 OUTPUT: ["Play Eric Clapton.","Turn down the volume."]
 
 user input: Play some Pink Floyd
diff --git a/examples/flows/standard/autonomous-agent/autogpt_easy_start.py b/examples/flows/standard/autonomous-agent/autogpt_easy_start.py
index 945b714954e..04bc1c1fae0 100644
--- a/examples/flows/standard/autonomous-agent/autogpt_easy_start.py
+++ b/examples/flows/standard/autonomous-agent/autogpt_easy_start.py
@@ -1,6 +1,6 @@
 from typing import Union
 
-from promptflow import tool
+from promptflow.core import tool
 from promptflow.connections import AzureOpenAIConnection, OpenAIConnection
 
 
diff --git a/examples/flows/standard/autonomous-agent/functions.py b/examples/flows/standard/autonomous-agent/functions.py
index 33eb276f777..2893c67d8c1 100644
--- a/examples/flows/standard/autonomous-agent/functions.py
+++ b/examples/flows/standard/autonomous-agent/functions.py
@@ -1,4 +1,4 @@
-from promptflow import tool
+from promptflow.core import tool
 
 
 @tool
diff --git a/examples/flows/standard/autonomous-agent/generate_goal.py b/examples/flows/standard/autonomous-agent/generate_goal.py
index 0cff4a431bf..5c3c04005cd 100644
--- a/examples/flows/standard/autonomous-agent/generate_goal.py
+++ b/examples/flows/standard/autonomous-agent/generate_goal.py
@@ -1,4 +1,4 @@
-from promptflow import tool
+from promptflow.core import tool
 
 
 @tool
diff --git a/examples/flows/standard/basic-with-builtin-llm/hello.jinja2 b/examples/flows/standard/basic-with-builtin-llm/hello.jinja2
index e697120d02f..1b80ed3fb6f 100644
--- a/examples/flows/standard/basic-with-builtin-llm/hello.jinja2
+++ b/examples/flows/standard/basic-with-builtin-llm/hello.jinja2
@@ -1,5 +1,5 @@
-system:
+# system:
 You are a assistant which can write code. Response should only contain code.
 
-user:
+# user:
 Write a simple {{text}} program that displays the greeting message.
\ No newline at end of file
diff --git a/examples/flows/standard/basic-with-connection/hello.py b/examples/flows/standard/basic-with-connection/hello.py
index 246c77af520..dce6f5768ab 100644
--- a/examples/flows/standard/basic-with-connection/hello.py
+++ b/examples/flows/standard/basic-with-connection/hello.py
@@ -1,7 +1,7 @@
 from typing import Union
 from openai.version import VERSION as OPENAI_VERSION
 
-from promptflow import tool
+from promptflow.core import tool
 from promptflow.connections import CustomConnection, AzureOpenAIConnection
 
 # The inputs section will change based on the arguments of the tool function, after you save the code
diff --git a/examples/flows/standard/basic/hello.py b/examples/flows/standard/basic/hello.py
index 07da0d31c1a..74d95785d0a 100644
--- a/examples/flows/standard/basic/hello.py
+++ b/examples/flows/standard/basic/hello.py
@@ -2,7 +2,7 @@
 from openai.version import VERSION as OPENAI_VERSION
 
 from dotenv import load_dotenv
-from promptflow import tool
+from promptflow.core import tool
 
 # The inputs section will change based on the arguments of the tool function, after you save the code
 # Adding type to arguments and return value will help the system show the types properly
diff --git a/examples/flows/standard/conditional-flow-for-if-else/content_safety_check.py b/examples/flows/standard/conditional-flow-for-if-else/content_safety_check.py
index 79516e69fab..0dd223dcf8e 100644
--- a/examples/flows/standard/conditional-flow-for-if-else/content_safety_check.py
+++ b/examples/flows/standard/conditional-flow-for-if-else/content_safety_check.py
@@ -1,4 +1,4 @@
-from promptflow import tool
+from promptflow.core import tool
 import random
 
 
diff --git a/examples/flows/standard/conditional-flow-for-if-else/default_result.py b/examples/flows/standard/conditional-flow-for-if-else/default_result.py
index a4b547f337b..d892db77e69 100644
--- a/examples/flows/standard/conditional-flow-for-if-else/default_result.py
+++ b/examples/flows/standard/conditional-flow-for-if-else/default_result.py
@@ -1,4 +1,4 @@
-from promptflow import tool
+from promptflow.core import tool
 
 
 @tool
diff --git a/examples/flows/standard/conditional-flow-for-if-else/generate_result.py b/examples/flows/standard/conditional-flow-for-if-else/generate_result.py
index c238605bc22..872217f6807 100644
--- a/examples/flows/standard/conditional-flow-for-if-else/generate_result.py
+++ b/examples/flows/standard/conditional-flow-for-if-else/generate_result.py
@@ -1,4 +1,4 @@
-from promptflow import tool
+from promptflow.core import tool
 
 
 @tool
diff --git a/examples/flows/standard/conditional-flow-for-if-else/llm_result.py b/examples/flows/standard/conditional-flow-for-if-else/llm_result.py
index 82b1910cc9e..d1624bb5e0e 100644
--- a/examples/flows/standard/conditional-flow-for-if-else/llm_result.py
+++ b/examples/flows/standard/conditional-flow-for-if-else/llm_result.py
@@ -1,4 +1,4 @@
-from promptflow import tool
+from promptflow.core import tool
 
 
 @tool
diff --git a/examples/flows/standard/conditional-flow-for-switch/class_check.py b/examples/flows/standard/conditional-flow-for-switch/class_check.py
index 6cd08108575..da253db5304 100644
--- a/examples/flows/standard/conditional-flow-for-switch/class_check.py
+++ b/examples/flows/standard/conditional-flow-for-switch/class_check.py
@@ -1,4 +1,4 @@
-from promptflow import tool
+from promptflow.core import tool
 
 
 @tool
diff --git a/examples/flows/standard/conditional-flow-for-switch/classify_with_llm.jinja2 b/examples/flows/standard/conditional-flow-for-switch/classify_with_llm.jinja2
index 6bcf164794f..dbbaf049b3d 100644
--- a/examples/flows/standard/conditional-flow-for-switch/classify_with_llm.jinja2
+++ b/examples/flows/standard/conditional-flow-for-switch/classify_with_llm.jinja2
@@ -1,4 +1,4 @@
-system:
+# system:
 There is a search bar in the mall APP and users can enter any query in the search bar.
 
 The user may want to search for orders, view product information, or seek recommended products.
@@ -7,5 +7,5 @@ Therefore, please classify user intentions into the following three types accord
 
 Please note that only the above three situations can be returned, and try not to include other return values.
 
-user:
+# user:
 The user's query is {{query}}
\ No newline at end of file
diff --git a/examples/flows/standard/conditional-flow-for-switch/generate_response.py b/examples/flows/standard/conditional-flow-for-switch/generate_response.py
index ed20a46e0ce..f2ae7b4469d 100644
--- a/examples/flows/standard/conditional-flow-for-switch/generate_response.py
+++ b/examples/flows/standard/conditional-flow-for-switch/generate_response.py
@@ -1,4 +1,4 @@
-from promptflow import tool
+from promptflow.core import tool
 
 
 @tool
diff --git a/examples/flows/standard/conditional-flow-for-switch/order_search.py b/examples/flows/standard/conditional-flow-for-switch/order_search.py
index f4cb3b8030d..d910bf8ed7a 100644
--- a/examples/flows/standard/conditional-flow-for-switch/order_search.py
+++ b/examples/flows/standard/conditional-flow-for-switch/order_search.py
@@ -1,4 +1,4 @@
-from promptflow import tool
+from promptflow.core import tool
 
 
 @tool
diff --git a/examples/flows/standard/conditional-flow-for-switch/product_info.py b/examples/flows/standard/conditional-flow-for-switch/product_info.py
index 0f4a879a0e2..f18b5557eaa 100644
--- a/examples/flows/standard/conditional-flow-for-switch/product_info.py
+++ b/examples/flows/standard/conditional-flow-for-switch/product_info.py
@@ -1,4 +1,4 @@
-from promptflow import tool
+from promptflow.core import tool
 
 
 @tool
diff --git a/examples/flows/standard/conditional-flow-for-switch/product_recommendation.py b/examples/flows/standard/conditional-flow-for-switch/product_recommendation.py
index 8ee53314ca6..a38cb0f5398 100644
--- a/examples/flows/standard/conditional-flow-for-switch/product_recommendation.py
+++ b/examples/flows/standard/conditional-flow-for-switch/product_recommendation.py
@@ -1,4 +1,4 @@
-from promptflow import tool
+from promptflow.core import tool
 
 
 @tool
diff --git a/examples/flows/standard/customer-intent-extraction/extract_intent_tool.py b/examples/flows/standard/customer-intent-extraction/extract_intent_tool.py
index ec71f45ec5d..218517989de 100644
--- a/examples/flows/standard/customer-intent-extraction/extract_intent_tool.py
+++ b/examples/flows/standard/customer-intent-extraction/extract_intent_tool.py
@@ -1,6 +1,6 @@
 import os
 
-from promptflow import tool
+from promptflow.core import tool
 from promptflow.connections import CustomConnection
 
 from intent import extract_intent
diff --git a/examples/flows/standard/describe-image/flip_image.py b/examples/flows/standard/describe-image/flip_image.py
index b106b79cd42..6972b5130b3 100644
--- a/examples/flows/standard/describe-image/flip_image.py
+++ b/examples/flows/standard/describe-image/flip_image.py
@@ -1,5 +1,5 @@
 import io
-from promptflow import tool
+from promptflow.core import tool
 from promptflow.contracts.multimedia import Image
 from PIL import Image as PIL_Image
 
diff --git a/examples/flows/standard/gen-docstring/combine_code_tool.py b/examples/flows/standard/gen-docstring/combine_code_tool.py
index cf629507f69..619a7a407c2 100644
--- a/examples/flows/standard/gen-docstring/combine_code_tool.py
+++ b/examples/flows/standard/gen-docstring/combine_code_tool.py
@@ -1,4 +1,4 @@
-from promptflow import tool
+from promptflow.core import tool
 from divider import Divider
 from typing import List
 
diff --git a/examples/flows/standard/gen-docstring/divide_code_tool.py b/examples/flows/standard/gen-docstring/divide_code_tool.py
index 5a02f061d65..9720c9c9e26 100644
--- a/examples/flows/standard/gen-docstring/divide_code_tool.py
+++ b/examples/flows/standard/gen-docstring/divide_code_tool.py
@@ -1,4 +1,4 @@
-from promptflow import tool
+from promptflow.core import tool
 from divider import Divider
 
 
diff --git a/examples/flows/standard/gen-docstring/generate_docstring_tool.py b/examples/flows/standard/gen-docstring/generate_docstring_tool.py
index 6368a83bc43..a7f09dcda41 100644
--- a/examples/flows/standard/gen-docstring/generate_docstring_tool.py
+++ b/examples/flows/standard/gen-docstring/generate_docstring_tool.py
@@ -4,7 +4,7 @@
 import os
 import sys
 from typing import Union, List
-from promptflow import tool
+from promptflow.core import tool
 from azure_open_ai import ChatLLM
 from divider import Divider
 from prompt import docstring_prompt, PromptLimitException
diff --git a/examples/flows/standard/gen-docstring/load_code_tool.py b/examples/flows/standard/gen-docstring/load_code_tool.py
index ae4d10799b5..2369d002ac0 100644
--- a/examples/flows/standard/gen-docstring/load_code_tool.py
+++ b/examples/flows/standard/gen-docstring/load_code_tool.py
@@ -1,4 +1,4 @@
-from promptflow import tool
+from promptflow.core import tool
 from file import File
 
 
diff --git a/examples/flows/standard/gen-docstring/main.py b/examples/flows/standard/gen-docstring/main.py
index be23d24c232..a5e565ada52 100644
--- a/examples/flows/standard/gen-docstring/main.py
+++ b/examples/flows/standard/gen-docstring/main.py
@@ -2,7 +2,7 @@
 from file import File
 from diff import show_diff
 from load_code_tool import load_code
-from promptflow import PFClient
+from promptflow.client import PFClient
 from pathlib import Path
 
 
diff --git a/examples/flows/standard/maths-to-code/ask_llm.jinja2 b/examples/flows/standard/maths-to-code/ask_llm.jinja2
index 8fea4ce5875..d6c328f3ef2 100644
--- a/examples/flows/standard/maths-to-code/ask_llm.jinja2
+++ b/examples/flows/standard/maths-to-code/ask_llm.jinja2
@@ -1,4 +1,4 @@
-system:
+# system:
 I want you to act as a Math expert specializing in Algebra, Geometry, and Calculus. Given the question, develop python code to model the user's question.
 The python code will print the result at the end.
 Please generate executable python code, your reply will be in JSON format, something like:
@@ -6,7 +6,7 @@ Please generate executable python code, your reply will be in JSON format, somet
     "code": "print(1+1)"
 }
 
-user:
+# user:
 This a set of examples including question and the final answer:
 {% for ex in examples %}
 QUESTION: {{ ex.question }}
diff --git a/examples/flows/standard/maths-to-code/code_execution.py b/examples/flows/standard/maths-to-code/code_execution.py
index 2c082e28a5f..1df8a357531 100644
--- a/examples/flows/standard/maths-to-code/code_execution.py
+++ b/examples/flows/standard/maths-to-code/code_execution.py
@@ -1,4 +1,4 @@
-from promptflow import tool
+from promptflow.core import tool
 
 import sys
 from io import StringIO
diff --git a/examples/flows/standard/maths-to-code/code_refine.py b/examples/flows/standard/maths-to-code/code_refine.py
index 0e671c4fc58..a76d8b1592b 100644
--- a/examples/flows/standard/maths-to-code/code_refine.py
+++ b/examples/flows/standard/maths-to-code/code_refine.py
@@ -1,4 +1,4 @@
-from promptflow import tool
+from promptflow.core import tool
 import ast
 import json
 
diff --git a/examples/flows/standard/maths-to-code/math_example.py b/examples/flows/standard/maths-to-code/math_example.py
index 74ce04fb1ff..eeef55dca66 100644
--- a/examples/flows/standard/maths-to-code/math_example.py
+++ b/examples/flows/standard/maths-to-code/math_example.py
@@ -1,4 +1,4 @@
-from promptflow import tool
+from promptflow.core import tool
 
 
 @tool
diff --git a/examples/flows/standard/maths-to-code/math_test.ipynb b/examples/flows/standard/maths-to-code/math_test.ipynb
index dee3ebdff9d..1e3f43c151c 100644
--- a/examples/flows/standard/maths-to-code/math_test.ipynb
+++ b/examples/flows/standard/maths-to-code/math_test.ipynb
@@ -8,7 +8,7 @@
    "source": [
     "# setup pf client and execution path\n",
     "\n",
-    "from promptflow import PFClient\n",
+    "from promptflow.client import PFClient\n",
     "import json\n",
     "import os\n",
     "\n",
@@ -28,8 +28,8 @@
    "source": [
     "# start batch run of maths-to-code\n",
     "base_run = pf.run(\n",
-    "    flow = flow, \n",
-    "    data = data, \n",
+    "    flow = flow,\n",
+    "    data = data,\n",
     "    column_mapping={\"math_question\": \"${data.question}\"},\n",
     "    display_name=\"maths_to_code_batch_run\",\n",
     "    stream=True\n",
@@ -277,8 +277,8 @@
    "source": [
     "# evaluate against the batch run and groundtruth data\n",
     "eval_run = pf.run(\n",
-    "    flow = eval_flow, \n",
-    "    data = data, \n",
+    "    flow = eval_flow,\n",
+    "    data = data,\n",
     "    run = base_run,\n",
     "    column_mapping={\"groundtruth\": \"${data.answer}\", \"prediction\": \"${run.outputs.answer}\"},\n",
     "    display_name=\"maths_to_code_eval_run\",\n",
@@ -643,8 +643,8 @@
     "# evaluation run against base run\n",
     "\n",
     "eval_run = pf.run(\n",
-    "    flow = eval_flow, \n",
-    "    data = data, \n",
+    "    flow = eval_flow,\n",
+    "    data = data,\n",
     "    run = base_run,\n",
     "    column_mapping={\"groundtruth\": \"${data.answer}\", \"prediction\": \"${run.outputs.answer}\"},\n",
     "    stream = True,\n",
diff --git a/examples/flows/standard/maths-to-code/prompt_gen.jinja2 b/examples/flows/standard/maths-to-code/prompt_gen.jinja2
index b676bc0818b..48d9795ee46 100644
--- a/examples/flows/standard/maths-to-code/prompt_gen.jinja2
+++ b/examples/flows/standard/maths-to-code/prompt_gen.jinja2
@@ -1,4 +1,4 @@
-system:
+# system:
 I want you to act as a Math expert specializing in Algebra, Geometry, and Calculus. Given the question, develop python code to model the user's question.
 The python code will print the result at the end.
 Please generate executable python code, your reply will be in JSON format, something like:
@@ -6,7 +6,7 @@ Please generate executable python code, your reply will be in JSON format, somet
     "code": "print(1+1)"
 }
 
-user:
+# user:
 This a set of examples including question and the final answer:
 {% for ex in examples %}
 QUESTION: {{ ex.question }}
diff --git a/examples/flows/standard/named-entity-recognition/NER_LLM.jinja2 b/examples/flows/standard/named-entity-recognition/NER_LLM.jinja2
index a58a23aad51..714f4a63bd9 100644
--- a/examples/flows/standard/named-entity-recognition/NER_LLM.jinja2
+++ b/examples/flows/standard/named-entity-recognition/NER_LLM.jinja2
@@ -1,10 +1,10 @@
-system:
+# system:
 Your task is to find entities of certain type from the given text content.
 If there're multiple entities, please return them all with comma separated, e.g. "entity1, entity2, entity3".
 You should only return the entity list, nothing else.
 If there's no such entity, please return "None".
 
-user:
+# user:
 Entity type: {{entity_type}}
 Text content: {{text}}
 Entities:
\ No newline at end of file
diff --git a/examples/flows/standard/named-entity-recognition/cleansing.py b/examples/flows/standard/named-entity-recognition/cleansing.py
index a017d7f1ab9..31ffea06b98 100644
--- a/examples/flows/standard/named-entity-recognition/cleansing.py
+++ b/examples/flows/standard/named-entity-recognition/cleansing.py
@@ -1,5 +1,5 @@
 from typing import List
-from promptflow import tool
+from promptflow.core import tool
 
 
 @tool
diff --git a/examples/flows/standard/web-classification/classify_with_llm.jinja2 b/examples/flows/standard/web-classification/classify_with_llm.jinja2
index 6d7c3da4005..975f3ff67d5 100644
--- a/examples/flows/standard/web-classification/classify_with_llm.jinja2
+++ b/examples/flows/standard/web-classification/classify_with_llm.jinja2
@@ -1,9 +1,9 @@
-system:
+# system:
 Your task is to classify a given url into one of the following categories:
 Movie, App, Academic, Channel, Profile, PDF or None based on the text content information.
 The classification will be based on the url, the webpage text content summary, or both.
 
-user:
+# user:
 The selection range of the value of "category" must be within "Movie", "App", "Academic", "Channel", "Profile", "PDF" and "None".
 The selection range of the value of "evidence" must be within "Url", "Text content", and "Both".
 Here are a few examples:
diff --git a/examples/flows/standard/web-classification/convert_to_dict.py b/examples/flows/standard/web-classification/convert_to_dict.py
index 8e9490b801a..8ca97ff42d9 100644
--- a/examples/flows/standard/web-classification/convert_to_dict.py
+++ b/examples/flows/standard/web-classification/convert_to_dict.py
@@ -1,6 +1,6 @@
 import json
 
-from promptflow import tool
+from promptflow.core import tool
 
 
 @tool
diff --git a/examples/flows/standard/web-classification/fetch_text_content_from_url.py b/examples/flows/standard/web-classification/fetch_text_content_from_url.py
index 1ff7f792909..47cfde8b8af 100644
--- a/examples/flows/standard/web-classification/fetch_text_content_from_url.py
+++ b/examples/flows/standard/web-classification/fetch_text_content_from_url.py
@@ -1,7 +1,7 @@
 import bs4
 import requests
 
-from promptflow import tool
+from promptflow.core import tool
 
 
 @tool
diff --git a/examples/flows/standard/web-classification/prepare_examples.py b/examples/flows/standard/web-classification/prepare_examples.py
index c4ccb76d732..c6cf34c35bf 100644
--- a/examples/flows/standard/web-classification/prepare_examples.py
+++ b/examples/flows/standard/web-classification/prepare_examples.py
@@ -1,4 +1,4 @@
-from promptflow import tool
+from promptflow.core import tool
 
 
 @tool
diff --git a/examples/flows/standard/web-classification/requirements.txt b/examples/flows/standard/web-classification/requirements.txt
index ccef8cfd3cc..9ee5995790e 100644
--- a/examples/flows/standard/web-classification/requirements.txt
+++ b/examples/flows/standard/web-classification/requirements.txt
@@ -1,3 +1,3 @@
-promptflow[azure]
+promptflow[azure]>=1.7.0
 promptflow-tools
 bs4
\ No newline at end of file
diff --git a/examples/flows/standard/web-classification/summarize_text_content.jinja2 b/examples/flows/standard/web-classification/summarize_text_content.jinja2
index 81078019db8..3352c4e8789 100644
--- a/examples/flows/standard/web-classification/summarize_text_content.jinja2
+++ b/examples/flows/standard/web-classification/summarize_text_content.jinja2
@@ -1,7 +1,7 @@
-system:
+# system:
 Please summarize the following text in one paragraph. 100 words.
 Do not add any information that is not in the text.
 
-user:
+# user:
 Text: {{text}}
-Summary: 
\ No newline at end of file
+Summary:
\ No newline at end of file
diff --git a/examples/flows/standard/web-classification/summarize_text_content__variant_1.jinja2 b/examples/flows/standard/web-classification/summarize_text_content__variant_1.jinja2
index 5fb816079d5..09d0023df61 100644
--- a/examples/flows/standard/web-classification/summarize_text_content__variant_1.jinja2
+++ b/examples/flows/standard/web-classification/summarize_text_content__variant_1.jinja2
@@ -1,7 +1,7 @@
-system:
+# system:
 Please summarize some keywords of this paragraph and have some details of each keywords.
 Do not add any information that is not in the text.
 
-user:
+# user:
 Text: {{text}}
-Summary: 
\ No newline at end of file
+Summary:
\ No newline at end of file
diff --git a/examples/tools/tool-package-quickstart/my_tool_package/tools/my_tool_1.py b/examples/tools/tool-package-quickstart/my_tool_package/tools/my_tool_1.py
index aab5630f3e3..7287a7dc9ef 100644
--- a/examples/tools/tool-package-quickstart/my_tool_package/tools/my_tool_1.py
+++ b/examples/tools/tool-package-quickstart/my_tool_package/tools/my_tool_1.py
@@ -1,4 +1,4 @@
-from promptflow import tool
+from promptflow.core import tool
 from promptflow.connections import CustomConnection
 
 
diff --git a/examples/tools/tool-package-quickstart/my_tool_package/tools/my_tool_2.py b/examples/tools/tool-package-quickstart/my_tool_package/tools/my_tool_2.py
index 7921e62f4dc..636ee0436e4 100644
--- a/examples/tools/tool-package-quickstart/my_tool_package/tools/my_tool_2.py
+++ b/examples/tools/tool-package-quickstart/my_tool_package/tools/my_tool_2.py
@@ -1,4 +1,4 @@
-from promptflow import ToolProvider, tool
+from promptflow.core import ToolProvider, tool
 from promptflow.connections import CustomConnection
 
 
diff --git a/examples/tools/tool-package-quickstart/my_tool_package/tools/tool_with_cascading_inputs.py b/examples/tools/tool-package-quickstart/my_tool_package/tools/tool_with_cascading_inputs.py
index 0b706f52884..2ba68cda6fe 100644
--- a/examples/tools/tool-package-quickstart/my_tool_package/tools/tool_with_cascading_inputs.py
+++ b/examples/tools/tool-package-quickstart/my_tool_package/tools/tool_with_cascading_inputs.py
@@ -1,6 +1,6 @@
 from enum import Enum
 
-from promptflow import tool
+from promptflow.core import tool
 
 
 class UserType(str, Enum):
diff --git a/examples/tools/tool-package-quickstart/my_tool_package/tools/tool_with_custom_llm_type.py b/examples/tools/tool-package-quickstart/my_tool_package/tools/tool_with_custom_llm_type.py
index 9aad08fddb3..55bb94f139a 100644
--- a/examples/tools/tool-package-quickstart/my_tool_package/tools/tool_with_custom_llm_type.py
+++ b/examples/tools/tool-package-quickstart/my_tool_package/tools/tool_with_custom_llm_type.py
@@ -1,5 +1,5 @@
 from jinja2 import Template
-from promptflow import tool
+from promptflow.core import tool
 from promptflow.connections import CustomConnection
 from promptflow.contracts.types import PromptTemplate
 
diff --git a/examples/tools/tool-package-quickstart/my_tool_package/tools/tool_with_custom_strong_type_connection.py b/examples/tools/tool-package-quickstart/my_tool_package/tools/tool_with_custom_strong_type_connection.py
index 4450d49b198..7b965bb048c 100644
--- a/examples/tools/tool-package-quickstart/my_tool_package/tools/tool_with_custom_strong_type_connection.py
+++ b/examples/tools/tool-package-quickstart/my_tool_package/tools/tool_with_custom_strong_type_connection.py
@@ -1,4 +1,4 @@
-from promptflow import tool
+from promptflow.core import tool
 from promptflow.connections import CustomStrongTypeConnection
 from promptflow.contracts.types import Secret
 
diff --git a/examples/tools/tool-package-quickstart/my_tool_package/tools/tool_with_dynamic_list_input.py b/examples/tools/tool-package-quickstart/my_tool_package/tools/tool_with_dynamic_list_input.py
index e5950b452d1..b106757b01c 100644
--- a/examples/tools/tool-package-quickstart/my_tool_package/tools/tool_with_dynamic_list_input.py
+++ b/examples/tools/tool-package-quickstart/my_tool_package/tools/tool_with_dynamic_list_input.py
@@ -1,4 +1,4 @@
-from promptflow import tool
+from promptflow.core import tool
 from typing import List, Union, Dict
 
 
@@ -31,7 +31,10 @@ def my_list_func(prefix: str = "", size: int = 10, **kwargs) -> List[Dict[str, U
     return result
 
 
-def list_endpoint_names(subscription_id, resource_group_name, workspace_name, prefix: str = "") -> List[Dict[str, str]]:
+def list_endpoint_names(subscription_id: str = None,
+                        resource_group_name: str = None,
+                        workspace_name: str = None,
+                        prefix: str = "") -> List[Dict[str, str]]:
     """This is an example to show how to get Azure ML resource in tool input list function.
 
     :param subscription_id: Azure subscription id.
@@ -39,6 +42,10 @@ def list_endpoint_names(subscription_id, resource_group_name, workspace_name, pr
     :param workspace_name: Azure ML workspace name.
     :param prefix: prefix to add to each item.
     """
+    # return an empty list if workspace triad is not available.
+    if not subscription_id or not resource_group_name or not workspace_name:
+        return []
+
     from azure.ai.ml import MLClient
     from azure.identity import DefaultAzureCredential
 
diff --git a/examples/tools/tool-package-quickstart/my_tool_package/tools/tool_with_file_path_input.py b/examples/tools/tool-package-quickstart/my_tool_package/tools/tool_with_file_path_input.py
index 83af836751e..76d75039a4a 100644
--- a/examples/tools/tool-package-quickstart/my_tool_package/tools/tool_with_file_path_input.py
+++ b/examples/tools/tool-package-quickstart/my_tool_package/tools/tool_with_file_path_input.py
@@ -1,6 +1,6 @@
 import importlib
 from pathlib import Path
-from promptflow import tool
+from promptflow.core import tool
 from promptflow.contracts.types import FilePath
 
 
diff --git a/examples/tools/tool-package-quickstart/my_tool_package/tools/tool_with_generated_by_input.py b/examples/tools/tool-package-quickstart/my_tool_package/tools/tool_with_generated_by_input.py
index 898eff128af..ff6a923c1e9 100644
--- a/examples/tools/tool-package-quickstart/my_tool_package/tools/tool_with_generated_by_input.py
+++ b/examples/tools/tool-package-quickstart/my_tool_package/tools/tool_with_generated_by_input.py
@@ -1,6 +1,6 @@
 from typing import Union
 
-from promptflow import tool
+from promptflow.core import tool
 from typing import Dict, List
 from promptflow.connections import AzureOpenAIConnection, OpenAIConnection, CognitiveSearchConnection
 
diff --git a/examples/tools/use-cases/custom-strong-type-connection-package-tool-showcase/requirements.txt b/examples/tools/use-cases/custom-strong-type-connection-package-tool-showcase/requirements.txt
index 9ae1aaa439a..af50f7418c2 100644
--- a/examples/tools/use-cases/custom-strong-type-connection-package-tool-showcase/requirements.txt
+++ b/examples/tools/use-cases/custom-strong-type-connection-package-tool-showcase/requirements.txt
@@ -1,2 +1,2 @@
-promptflow[azure]==1.1.0
+promptflow[azure]
 my-tools-package==0.0.5
diff --git a/examples/tools/use-cases/custom-strong-type-connection-script-tool-showcase/my_script_tool.py b/examples/tools/use-cases/custom-strong-type-connection-script-tool-showcase/my_script_tool.py
index b2d0d7d0377..6a568678147 100644
--- a/examples/tools/use-cases/custom-strong-type-connection-script-tool-showcase/my_script_tool.py
+++ b/examples/tools/use-cases/custom-strong-type-connection-script-tool-showcase/my_script_tool.py
@@ -1,4 +1,4 @@
-from promptflow import tool
+from promptflow.core import tool
 from promptflow.connections import CustomStrongTypeConnection
 from promptflow.contracts.types import Secret
 
diff --git a/examples/tools/use-cases/custom-strong-type-connection-script-tool-showcase/requirements.txt b/examples/tools/use-cases/custom-strong-type-connection-script-tool-showcase/requirements.txt
index 7f40ec1297c..957c9676144 100644
--- a/examples/tools/use-cases/custom-strong-type-connection-script-tool-showcase/requirements.txt
+++ b/examples/tools/use-cases/custom-strong-type-connection-script-tool-showcase/requirements.txt
@@ -1 +1 @@
-promptflow[azure]==1.1.0
+promptflow[azure]
diff --git a/examples/tutorials/e2e-development/chat-with-pdf.md b/examples/tutorials/e2e-development/chat-with-pdf.md
index 85b04769f4e..a39f121896b 100644
--- a/examples/tutorials/e2e-development/chat-with-pdf.md
+++ b/examples/tutorials/e2e-development/chat-with-pdf.md
@@ -162,7 +162,7 @@ Check out below:
 
 E.g. build_index_tool wrapper:
 ```python
-from promptflow import tool
+from promptflow.core import tool
 from chat_with_pdf.build_index import create_faiss_index
 
 
diff --git a/examples/tutorials/flow-deploy/create-service-with-flow/echo_connection_flow/echo_connection.py b/examples/tutorials/flow-deploy/create-service-with-flow/echo_connection_flow/echo_connection.py
index 9a661708289..a3362a8e5e4 100644
--- a/examples/tutorials/flow-deploy/create-service-with-flow/echo_connection_flow/echo_connection.py
+++ b/examples/tutorials/flow-deploy/create-service-with-flow/echo_connection_flow/echo_connection.py
@@ -1,4 +1,4 @@
-from promptflow import tool
+from promptflow.core import tool
 from promptflow.connections import AzureOpenAIConnection
 
 
diff --git a/examples/tutorials/flow-deploy/create-service-with-flow/simple_score.py b/examples/tutorials/flow-deploy/create-service-with-flow/simple_score.py
index acd1c33e008..b5ffe8fbf61 100644
--- a/examples/tutorials/flow-deploy/create-service-with-flow/simple_score.py
+++ b/examples/tutorials/flow-deploy/create-service-with-flow/simple_score.py
@@ -3,7 +3,7 @@
 
 from flask import Flask, jsonify, request
 
-from promptflow import load_flow
+from promptflow.client import load_flow
 from promptflow.connections import AzureOpenAIConnection
 from promptflow.entities import FlowContext
 from promptflow.exceptions import SystemErrorException, UserErrorException
@@ -72,7 +72,7 @@ def score():
     # data in request will be passed to flow as kwargs
     result_dict = f(**data)
     # Note: if specified streaming=True in the flow context, the result will be a generator
-    # reference promptflow._sdk._serving.response_creator.ResponseCreator on how to handle it in app.
+    # reference promptflow.core._serving.response_creator.ResponseCreator on how to handle it in app.
     return jsonify(result_dict)
 
 
diff --git a/examples/tutorials/flow-deploy/distribute-flow-as-executable-app/main.py b/examples/tutorials/flow-deploy/distribute-flow-as-executable-app/main.py
index 89d4def2fea..2f8ee178ff1 100644
--- a/examples/tutorials/flow-deploy/distribute-flow-as-executable-app/main.py
+++ b/examples/tutorials/flow-deploy/distribute-flow-as-executable-app/main.py
@@ -2,14 +2,15 @@
 import json
 import os
 import re
-import streamlit as st
 from pathlib import Path
-from streamlit_quill import st_quill  # noqa: F401
+
+import streamlit as st
 from bs4 import BeautifulSoup, NavigableString, Tag
+from streamlit_quill import st_quill  # noqa: F401
 
 from promptflow._sdk._utils import print_yellow_warning
-from promptflow._sdk._serving.flow_invoker import FlowInvoker
-from promptflow._utils.multimedia_utils import is_multimedia_dict, MIME_PATTERN
+from promptflow._utils.multimedia_utils import MIME_PATTERN, BasicMultimediaProcessor
+from promptflow.core._serving.flow_invoker import FlowInvoker
 
 invoker = None
 
@@ -20,7 +21,7 @@ def clear_chat() -> None:
 
     def show_image(image, key=None):
         if not image.startswith("data:image"):
-            st.image(key + ',' + image)
+            st.image(key + "," + image)
         else:
             st.image(image)
 
@@ -50,12 +51,12 @@ def is_dict_contains_rich_text(rich_text):
             elif isinstance(rich_text_value, dict):
                 result |= is_dict_contains_rich_text(rich_text_value)
             elif re.match(MIME_PATTERN, rich_text_key) or (
-                    isinstance(rich_text_value, str) and rich_text_value.startswith("data:image")):
+                isinstance(rich_text_value, str) and rich_text_value.startswith("data:image")
+            ):
                 result = True
         return result
 
     def render_message(role, message_items):
-
         def item_render_message(value, key=None):
             if key and re.match(MIME_PATTERN, key):
                 show_image(value, key)
@@ -82,7 +83,7 @@ def list_iter_render_message(message_items):
                 st.markdown(f"`{json_dumps(message_items)},`")
 
         def dict_iter_render_message(message_items):
-            if is_multimedia_dict(message_items):
+            if BasicMultimediaProcessor.is_multimedia_dict(message_items):
                 key = list(message_items.keys())[0]
                 value = message_items[key]
                 show_image(value, key)
@@ -154,8 +155,8 @@ def extract_content(node):
             if text:
                 return [text]
         elif isinstance(node, Tag):
-            if node.name == 'img':
-                prefix, base64_str = node['src'].split(',', 1)
+            if node.name == "img":
+                prefix, base64_str = node["src"].split(",", 1)
                 return [{prefix: base64_str}]
             else:
                 result = []
@@ -165,16 +166,16 @@ def extract_content(node):
         return []
 
     def parse_html_content(html_content):
-        soup = BeautifulSoup(html_content, 'html.parser')
+        soup = BeautifulSoup(html_content, "html.parser")
         result = []
-        for p in soup.find_all('p'):
+        for p in soup.find_all("p"):
             result.extend(extract_content(p))
         return result
 
     def parse_image_content(image_content, image_type):
         if image_content is not None:
             file_contents = image_content.read()
-            image_content = base64.b64encode(file_contents).decode('utf-8')
+            image_content = base64.b64encode(file_contents).decode("utf-8")
             prefix = f"data:{image_type};base64"
             return {prefix: image_content}
 
@@ -184,7 +185,7 @@ def parse_image_content(image_content, image_type):
     with container:
         show_conversation()
 
-    with st.form(key='input_form', clear_on_submit=True):
+    with st.form(key="input_form", clear_on_submit=True):
         settings_path = os.path.join(os.path.dirname(__file__), "settings.json")
         if os.path.exists(settings_path):
             with open(settings_path, "r") as file:
@@ -195,15 +196,17 @@ def parse_image_content(image_content, image_type):
                     label=environment_variable,
                     type="password",
                     placeholder=f"Please input {environment_variable} here. If you input before, you can leave it "
-                                f"blank.")
+                    f"blank.",
+                )
                 if secret_input != "":
                     os.environ[environment_variable] = secret_input
 
-        url = st.text_input(label='url',
-                            placeholder='https://play.google.com/store/apps/details?id=com.twitter.android')
+        url = st.text_input(
+            label="url", placeholder="https://play.google.com/store/apps/details?id=com.twitter.android"
+        )
         cols = st.columns(7)
-        submit_bt = cols[0].form_submit_button(label='Submit')
-        clear_bt = cols[1].form_submit_button(label='Clear')
+        submit_bt = cols[0].form_submit_button(label="Submit")
+        clear_bt = cols[1].form_submit_button(label="Clear")
 
     if submit_bt:
         submit(url=url)
diff --git a/examples/tutorials/flow-fine-tuning-evaluation/promptflow-quality-improvement.md b/examples/tutorials/flow-fine-tuning-evaluation/promptflow-quality-improvement.md
index a2119e9da00..fd6a893c1bc 100644
--- a/examples/tutorials/flow-fine-tuning-evaluation/promptflow-quality-improvement.md
+++ b/examples/tutorials/flow-fine-tuning-evaluation/promptflow-quality-improvement.md
@@ -62,18 +62,18 @@ cd ../../flows/chat/chat-basic/
 To enable your chatbot flow to solve math problems, you need to instruct the LLM about the task and target in the prompt. Open `chat.jinja2`, update the prompt as below:
 
 ```jinja
-system:
+# system:
 You are an assistant to calculate the answer to the provided math problems.
 Please return the final numerical answer only, without any accompanying reasoning or explanation.
 
 {% for item in chat_history %}
-user:
+# user:
 {{item.inputs.question}}
-assistant:
+# assistant:
 {{item.outputs.answer}}
 {% endfor %}
 
-user:
+# user:
 {{question}}
 ```
 
@@ -304,17 +304,17 @@ We leverage the Chain of Thought (CoT) prompt engineering method to adjust the p
 <summary>Variant_1: 2 CoT examples</summary>
 
 ```jinja
-system:
+# system:
 You are an assistant to calculate the answer to the provided math problems.
 Please think step by step.
 Return the final numerical answer only and any accompanying reasoning or explanation seperately as json format. <br>
-user:
+# user:
 A jar contains two red marbles, three green marbles, ten white marbles and no other marbles. Two marbles are randomly drawn from this jar without replacement. What is the probability that these two marbles drawn will both be red? Express your answer as a common fraction.
-assistant:
+# assistant:
 {Chain of thought: "The total number of marbles is $2+3+10=15$.  The probability that the first marble drawn will be red is $2/15$.  Then, there will be one red left, out of 14.  Therefore, the probability of drawing out two red marbles will be: $$\\frac{2}{15}\\cdot\\frac{1}{14}=\\boxed{\\frac{1}{105}}$$.", "answer": "1/105"}
-user:
+# user:
 Find the greatest common divisor of $7!$ and $(5!)^2.$
-assistant:
+# assistant:
 {"Chain of thought": "$$ \\begin{array} 7! &=& 7 \\cdot 6 \\cdot 5 \\cdot 4 \\cdot 3 \\cdot 2 \\cdot 1 &=& 2^4 \\cdot 3^2 \\cdot 5^1 \\cdot 7^1 \\\\ (5!)^2 &=& (5 \\cdot 4 \\cdot 3 \\cdot 2 \\cdot 1)^2 &=& 2^6 \\cdot 3^2 \\cdot 5^2 \\\\ \\text{gcd}(7!, (5!)^2) &=& 2^4 \\cdot 3^2 \\cdot 5^1 &=& \\boxed{720} \\end{array} $$.", "answer": "720"}
 ```
 </details>
@@ -323,34 +323,34 @@ assistant:
 <summary>Variant_2 : 6 CoT examples.</summary>
 
 ```jinja
-system:
+# system:
 You are an assistant to calculate the answer to the provided math problems.
 Please think step by step.
 Return the final numerical answer only and any accompanying reasoning or explanation seperately as json format.
 
-user:
+# user:
 A jar contains two red marbles, three green marbles, ten white marbles and no other marbles. Two marbles are randomly drawn from this jar without replacement. What is the probability that these two marbles drawn will both be red? Express your answer as a common fraction.
-assistant:
+# assistant:
 {Chain of thought: "The total number of marbles is $2+3+10=15$.  The probability that the first marble drawn will be red is $2/15$.  Then, there will be one red left, out of 14.  Therefore, the probability of drawing out two red marbles will be: $$\\frac{2}{15}\\cdot\\frac{1}{14}=\\boxed{\\frac{1}{105}}$$.", "answer": "1/105"}
-user:
+# user:
 Find the greatest common divisor of $7!$ and $(5!)^2.$
-assistant:
+# assistant:
 {"Chain of thought": "$$ \\begin{array} 7! &=& 7 \\cdot 6 \\cdot 5 \\cdot 4 \\cdot 3 \\cdot 2 \\cdot 1 &=& 2^4 \\cdot 3^2 \\cdot 5^1 \\cdot 7^1 \\\\ (5!)^2 &=& (5 \\cdot 4 \\cdot 3 \\cdot 2 \\cdot 1)^2 &=& 2^6 \\cdot 3^2 \\cdot 5^2 \\\\ \\text{gcd}(7!, (5!)^2) &=& 2^4 \\cdot 3^2 \\cdot 5^1 &=& \\boxed{720} \\end{array} $$.", "answer": "720"}
-user:
+# user:
 A club has 10 members, 5 boys and 5 girls.  Two of the members are chosen at random.  What is the probability that they are both girls?
-assistant:
+# assistant:
 {"Chain of thought": "There are $\\binomial{10}{2} = 45$ ways to choose two members of the group, and there are $\\binomial{5}{2} = 10$ ways to choose two girls.  Therefore, the probability that two members chosen at random are girls is $\\dfrac{10}{45} = \\boxed{\\dfrac{2}{9}}$.", "answer": "2/9"}
-user:
+# user:
 Allison, Brian and Noah each have a 6-sided cube. All of the faces on Allison's cube have a 5. The faces on Brian's cube are numbered 1, 2, 3, 4, 5 and 6. Three of the faces on Noah's cube have a 2 and three of the faces have a 6. All three cubes are rolled. What is the probability that Allison's roll is greater than each of Brian's and Noah's? Express your answer as a common fraction.
-assistant:
+# assistant:
 {"Chain of thought": "Since Allison will always roll a 5, we must calculate the probability that both Brian and Noah roll a 4 or lower. The probability of Brian rolling a 4 or lower is $\\frac{4}{6} = \\frac{2}{3}$ since Brian has a standard die. Noah, however, has a $\\frac{3}{6} = \\frac{1}{2}$ probability of rolling a 4 or lower, since the only way he can do so is by rolling one of his 3 sides that have a 2. So, the probability of both of these independent events occurring is $\\frac{2}{3} \\cdot \\frac{1}{2} = \\boxed{\\frac{1}{3}}$.", "answer": "1/3"}
-user:
+# user:
 Compute $\\density binomial{50}{2}$.
-assistant:
+# assistant:
 {"Chain of thought": "$\\density binomial{50}{2} = \\dfrac{50!}{2!48!}=\\dfrac{50\\times 49}{2\\times 1}=\\boxed{1225}.$", "answer": "1225"}
-user:
+# user:
 The set $S = \\{1, 2, 3, \\ldots , 49, 50\\}$ contains the first $50$ positive integers.  After the multiples of 2 and the multiples of 3 are removed, how many integers remain in the set $S$?
-assistant:
+# assistant:
 {"Chain of thought": "The set $S$ contains $25$ multiples of 2 (that is, even numbers).  When these are removed, the set $S$ is left with only the odd integers from 1 to 49. At this point, there are $50-25=25$ integers in $S$. We still need to remove the multiples of 3 from $S$.\n\nSince $S$ only contains odd integers after the multiples of 2 are removed,  we must remove the odd multiples of 3 between 1 and 49.  These are 3, 9, 15, 21, 27, 33, 39, 45, of which there are 8.  Therefore, the number of integers remaining in the set $S$ is $25 - 8 = \\boxed{17}$.", "answer": "17"}
 ```
 </details>
diff --git a/examples/tutorials/flow-in-pipeline/pipeline.ipynb b/examples/tutorials/flow-in-pipeline/pipeline.ipynb
deleted file mode 100644
index b890e4819d8..00000000000
--- a/examples/tutorials/flow-in-pipeline/pipeline.ipynb
+++ /dev/null
@@ -1,220 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Use Flow as Component in Pipeline\n",
-    "\n",
-    "**Requirements** - In order to benefit from this tutorial, you will need:\n",
-    "- A basic understanding of Machine Learning\n",
-    "- An Azure account with an active subscription - [Create an account for free](https://azure.microsoft.com/free/?WT.mc_id=A261C142F)\n",
-    "- An Azure ML workspace with computer cluster - [Configure workspace](../../configuration.ipynb)\n",
-    "- A python environment\n",
-    "- Installed Azure Machine Learning Python SDK v2 - [install instructions](../../../README.md) - check the getting started section\n",
-    "\n",
-    "**Learning Objectives** - By the end of this tutorial, you should be able to:\n",
-    "- Connect to your AML workspace from the Python SDK\n",
-    "- Create `Pipeline` with a component loaded from `flow.dag.yaml`\n",
-    "\n",
-    "**Motivations** - This notebook explains how to run a pipeline with distributed training component."
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# 1. Connect to Azure Machine Learning Workspace\n",
-    "\n",
-    "The [workspace](https://docs.microsoft.com/en-us/azure/machine-learning/concept-workspace) is the top-level resource for Azure Machine Learning, providing a centralized place to work with all the artifacts you create when you use Azure Machine Learning. In this section we will connect to the workspace in which the job will be run.\n",
-    "\n",
-    "## 1.1 Import the required libraries"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# import required libraries\n",
-    "from azure.identity import DefaultAzureCredential, InteractiveBrowserCredential\n",
-    "\n",
-    "from azure.ai.ml import MLClient, load_component, Input\n",
-    "from azure.ai.ml.constants import AssetTypes\n",
-    "from azure.ai.ml.dsl import pipeline"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## 1.2 Configure credential\n",
-    "\n",
-    "We are using `DefaultAzureCredential` to get access to workspace. \n",
-    "`DefaultAzureCredential` should be capable of handling most Azure SDK authentication scenarios. \n",
-    "\n",
-    "Reference for more available credentials if it does not work for you: [configure credential example](../../configuration.ipynb), [azure-identity reference doc](https://docs.microsoft.com/en-us/python/api/azure-identity/azure.identity?view=azure-python)."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "try:\n",
-    "    credential = DefaultAzureCredential()\n",
-    "    # Check if given credential can get token successfully.\n",
-    "    credential.get_token(\"https://management.azure.com/.default\")\n",
-    "except Exception as ex:\n",
-    "    # Fall back to InteractiveBrowserCredential in case DefaultAzureCredential not work\n",
-    "    credential = InteractiveBrowserCredential()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## 1.3 Get a handle to the workspace\n",
-    "\n",
-    "We use config file to connect to a workspace. The Azure ML workspace should be configured with computer cluster. [Check this notebook for configure a workspace](../../configuration.ipynb)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Get a handle to workspace\n",
-    "ml_client = MLClient.from_config(credential=credential)\n",
-    "\n",
-    "# Retrieve an already attached Azure Machine Learning Compute.\n",
-    "cluster_name = \"cpu-cluster\"\n",
-    "print(ml_client.compute.get(cluster_name))"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# 2. Load flow as component\n",
-    "\n",
-    "We suppose that there has already been a flow authored with Promptflow SDK/CLI/portal. Then we can load its flow dag yaml as a component like regular component specs."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "flow_component = load_component(\"../../flows/standard/web-classification/flow.dag.yaml\")"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# 3. Pipeline job\n",
-    "## 3.1 Build pipeline"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "data_input = Input(\n",
-    "    path=\"../../flows/standard/web-classification/data.jsonl\", type=AssetTypes.URI_FILE\n",
-    ")\n",
-    "\n",
-    "\n",
-    "@pipeline()\n",
-    "def pipeline_func_with_flow(data):\n",
-    "    flow_node = flow_component(\n",
-    "        data=data,\n",
-    "        url=\"${data.url}\",\n",
-    "        connections={\n",
-    "            \"summarize_text_content\": {\n",
-    "                \"connection\": \"azure_open_ai_connection\",\n",
-    "                \"deployment_name\": \"gpt-35-turbo\",\n",
-    "            },\n",
-    "            \"classify_with_llm\": {\n",
-    "                \"connection\": \"azure_open_ai_connection\",\n",
-    "                \"deployment_name\": \"gpt-35-turbo\",\n",
-    "            },\n",
-    "        },\n",
-    "    )\n",
-    "    flow_node.compute = \"cpu-cluster\"\n",
-    "\n",
-    "\n",
-    "# create pipeline instance\n",
-    "pipeline_job = pipeline_func_with_flow(data=data_input)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## 3.2 Submit pipeline job"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# submit job to workspace\n",
-    "pipeline_job = ml_client.jobs.create_or_update(\n",
-    "    pipeline_job, experiment_name=\"pipeline_samples\"\n",
-    ")\n",
-    "pipeline_job"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Wait until the job completes\n",
-    "ml_client.jobs.stream(pipeline_job.name)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Next Steps\n",
-    "You can see further examples of running a pipeline job [here](../)"
-   ]
-  }
- ],
- "metadata": {
-  "description": "Create pipeline using components to run a distributed job with tensorflow",
-  "kernelspec": {
-   "display_name": "Python 3",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.9.17"
-  },
-  "resources": "examples/flows/standard/web-classification"
- },
- "nbformat": 4,
- "nbformat_minor": 2
-}
diff --git a/examples/tutorials/get-started/flow-as-function.ipynb b/examples/tutorials/get-started/flow-as-function.ipynb
index 86635181d57..8160ad6ade1 100644
--- a/examples/tutorials/get-started/flow-as-function.ipynb
+++ b/examples/tutorials/get-started/flow-as-function.ipynb
@@ -36,7 +36,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "from promptflow import load_flow\n",
+    "from promptflow.client import load_flow\n",
     "\n",
     "\n",
     "flow_path = \"../../flows/standard/web-classification\"\n",
diff --git a/examples/tutorials/get-started/quickstart.ipynb b/examples/tutorials/get-started/quickstart.ipynb
index e85e66c1e3b..11593e5c2fe 100644
--- a/examples/tutorials/get-started/quickstart.ipynb
+++ b/examples/tutorials/get-started/quickstart.ipynb
@@ -58,7 +58,7 @@
    "outputs": [],
    "source": [
     "import json\n",
-    "from promptflow import PFClient\n",
+    "from promptflow.client import PFClient\n",
     "from promptflow.connections import AzureOpenAIConnection, OpenAIConnection\n",
     "\n",
     "# client can help manage your runs and connections.\n",
@@ -174,7 +174,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "from promptflow import load_flow\n",
+    "from promptflow.client import load_flow\n",
     "\n",
     "flow_func = load_flow(flow)\n",
     "flow_result = flow_func(**flow_inputs)\n",
@@ -431,7 +431,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.8.13"
+   "version": "3.9.18"
   },
   "resources": "examples/requirements.txt, examples/flows/standard/web-classification, examples/flows/evaluation/eval-classification-accuracy"
  },
diff --git a/examples/tutorials/run-flow-with-pipeline/components/data-prep/conda.yaml b/examples/tutorials/run-flow-with-pipeline/components/data-prep/conda.yaml
new file mode 100644
index 00000000000..fd3340b7d51
--- /dev/null
+++ b/examples/tutorials/run-flow-with-pipeline/components/data-prep/conda.yaml
@@ -0,0 +1,15 @@
+name: my-env
+channels:
+  - conda-forge
+dependencies:
+  - python=3.9
+  - pip
+  - pip:
+      - mlflow
+      - azureml-core
+      - azure-ai-ml>=1.12.0
+      - azureml-dataset-runtime[pandas,fuse]
+      - azureml-telemetry
+      - mltable>=1.2.0
+      - pandas
+      - pillow
\ No newline at end of file
diff --git a/examples/tutorials/run-flow-with-pipeline/components/data-prep/data-prep.py b/examples/tutorials/run-flow-with-pipeline/components/data-prep/data-prep.py
new file mode 100644
index 00000000000..b606b2e69a3
--- /dev/null
+++ b/examples/tutorials/run-flow-with-pipeline/components/data-prep/data-prep.py
@@ -0,0 +1,21 @@
+# Copyright (c) Microsoft. All rights reserved.
+# Licensed under the MIT license.
+
+import os
+import pandas as pd
+import argparse
+
+parser = argparse.ArgumentParser()
+parser.add_argument("--input_data_file", type=str)
+parser.add_argument("--output_data_folder", type=str)
+
+args, _ = parser.parse_known_args()
+
+input_df = pd.read_json(args.input_data_file, lines=True)
+
+# data preparation, e.g. data sampling, data cleaning, etc.
+processed_data = input_df.sample(n=20, replace=True, random_state=1)
+
+# export data into output folder
+output_file_path = os.path.join(args.output_data_folder, "processed_data.csv")
+processed_data.to_csv(output_file_path, index=False, header=True)
diff --git a/examples/tutorials/run-flow-with-pipeline/components/data-prep/data-prep.yaml b/examples/tutorials/run-flow-with-pipeline/components/data-prep/data-prep.yaml
new file mode 100644
index 00000000000..8a0c16adc7a
--- /dev/null
+++ b/examples/tutorials/run-flow-with-pipeline/components/data-prep/data-prep.yaml
@@ -0,0 +1,26 @@
+$schema: https://azuremlschemas.azureedge.net/latest/commandComponent.schema.json
+
+type: command
+
+name: data_prep
+display_name: data preparation
+version: 0.0.1
+
+inputs:
+  input_data_file:
+    type: uri_file
+
+outputs:
+  output_data_folder:
+    type: uri_folder
+
+code: ./
+
+environment: 
+  image: mcr.microsoft.com/azureml/inference-base-2004:latest
+  conda_file: ./conda.yaml
+
+command: >-
+  python data-prep.py
+  --input_data_file ${{inputs.input_data_file}}
+  --output_data_folder ${{outputs.output_data_folder}}
diff --git a/examples/tutorials/run-flow-with-pipeline/components/result-parser/conda.yaml b/examples/tutorials/run-flow-with-pipeline/components/result-parser/conda.yaml
new file mode 100644
index 00000000000..fd3340b7d51
--- /dev/null
+++ b/examples/tutorials/run-flow-with-pipeline/components/result-parser/conda.yaml
@@ -0,0 +1,15 @@
+name: my-env
+channels:
+  - conda-forge
+dependencies:
+  - python=3.9
+  - pip
+  - pip:
+      - mlflow
+      - azureml-core
+      - azure-ai-ml>=1.12.0
+      - azureml-dataset-runtime[pandas,fuse]
+      - azureml-telemetry
+      - mltable>=1.2.0
+      - pandas
+      - pillow
\ No newline at end of file
diff --git a/examples/tutorials/run-flow-with-pipeline/components/result-parser/result-parser.py b/examples/tutorials/run-flow-with-pipeline/components/result-parser/result-parser.py
new file mode 100644
index 00000000000..e2a448c5e5f
--- /dev/null
+++ b/examples/tutorials/run-flow-with-pipeline/components/result-parser/result-parser.py
@@ -0,0 +1,51 @@
+# Copyright (c) Microsoft. All rights reserved.
+# Licensed under the MIT license.
+
+import os
+import pandas as pd
+import argparse
+import glob
+import numpy as np
+
+parser = argparse.ArgumentParser()
+parser.add_argument("--source_data", type=str)
+parser.add_argument("--pf_output_data", type=str)
+parser.add_argument("--pf_debug_data", type=str)
+parser.add_argument("--merged_data", type=str)
+
+args, _ = parser.parse_known_args()
+
+source_data_path = os.path.join(args.source_data, "processed_data.csv")
+pf_output_path = os.path.join(args.pf_output_data, "parallel_run_step.jsonl")
+merged_data_path = os.path.join(args.merged_data, "merged_data.jsonl")
+
+if args.pf_debug_data is not None:
+    pf_debug_files = glob.glob(os.path.join(args.pf_debug_data, "flow_artifacts/*.jsonl"))
+
+source_data_df = pd.read_csv(source_data_path)
+pf_output_df = pd.read_json(pf_output_path, lines=True)
+pf_output_df.sort_values(by="line_number", inplace=True, ignore_index=True)
+
+if len(source_data_df) != len(pf_output_df):
+    raise Exception("Index mismatch between data source and pf result")
+
+source_data_df.loc[:, "line_number"] = pf_output_df.loc[:, "line_number"]
+source_data_df.loc[:, "pred_category"] = pf_output_df.loc[:, "category"]
+source_data_df.loc[:, "pred_evidence"] = pf_output_df.loc[:, "evidence"]
+
+if pf_debug_files is not None and len(pf_debug_files) > 0:
+    debug_df = pd.concat([pd.read_json(file, lines=True) for file in pf_debug_files])
+    debug_df.sort_values(by="line_number", inplace=True, ignore_index=True)
+    for i in range(len(debug_df)):
+        source_data_df.loc[i, "prompt_tokens"] = debug_df.loc[i, "run_info"]["system_metrics"]["prompt_tokens"]
+        source_data_df.loc[i, "duration"] = debug_df.loc[i, "run_info"]["system_metrics"]["duration"]
+        source_data_df.loc[i, "completion_tokens"] = debug_df.loc[i, "run_info"]["system_metrics"]["completion_tokens"]
+        source_data_df.loc[i, "total_tokens"] = debug_df.loc[i, "run_info"]["system_metrics"]["total_tokens"]
+else:
+    source_data_df.loc[:, "prompt_tokens"] = np.nan
+    source_data_df.loc[:, "duration"] = np.nan
+    source_data_df.loc[:, "completion_tokens"] = np.nan
+    source_data_df.loc[:, "total_tokens"] = np.nan
+
+with open(merged_data_path, "w") as file:
+    file.write(source_data_df.to_json(orient="records", lines=True))
diff --git a/examples/tutorials/run-flow-with-pipeline/components/result-parser/result-parser.yaml b/examples/tutorials/run-flow-with-pipeline/components/result-parser/result-parser.yaml
new file mode 100644
index 00000000000..04ea9d5759f
--- /dev/null
+++ b/examples/tutorials/run-flow-with-pipeline/components/result-parser/result-parser.yaml
@@ -0,0 +1,34 @@
+$schema: https://azuremlschemas.azureedge.net/latest/commandComponent.schema.json
+
+type: command
+
+name: result_parser
+description: Aggregate pf source data with output and debug data.
+display_name: result parser.
+version: 0.0.1
+
+inputs:
+  source_data:
+    type: uri_folder
+  pf_output_data:
+    type: uri_folder
+  pf_debug_data:
+    optional: true
+    type: uri_folder
+
+outputs:
+  merged_data :
+    type: uri_folder
+
+code: ./
+
+environment: 
+  image: mcr.microsoft.com/azureml/inference-base-2004:latest
+  conda_file: ./conda.yaml
+
+command: >-
+  python result-parser.py
+  --source_data ${{inputs.source_data}}
+  --pf_output_data ${{inputs.pf_output_data}}
+  $[[--pf_debug_data ${{inputs.pf_debug_data}}]]
+  --merged_data ${{outputs.merged_data}}
diff --git a/examples/tutorials/run-flow-with-pipeline/pipeline.ipynb b/examples/tutorials/run-flow-with-pipeline/pipeline.ipynb
new file mode 100644
index 00000000000..831364aa4f0
--- /dev/null
+++ b/examples/tutorials/run-flow-with-pipeline/pipeline.ipynb
@@ -0,0 +1,631 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Why use Azure machine learning(ML) pipelines to run your flows on the cloud?\n",
+    "In real-world scenarios, flows serve various purposes. For example, consider a flow designed to evaluate the relevance score for a communication session between humans and agents. Suppose you want to trigger this flow every night to assess today’s performance and avoid peak hours for LLM (Language Model) endpoints. In this common scenario, people often encounter the following needs:\n",
+    "- Handling Large Data Inputs: Running flows with thousands or millions of data inputs at once.\n",
+    "- Scalability and Efficiency: Requiring a scalable, efficient, and resilient platform to ensure success.\n",
+    "- Automations: Automatically triggering batch flows when upstream data is ready or at fixed intervals.\n",
+    "\n",
+    "__Azure ML pipelines__ address all these offline requirements effectively. With the integration of prompt flows and Azure ML pipeline, flow users could very easily achieve above goals and in this tutorial, you can learn:\n",
+    "- How to use python SDK to automatically convert your flow into a 'step' in Azure ML pipeline.\n",
+    "- How to feed your data into pipeline to trigger the batch flow runs.\n",
+    "- How to build other pipeline steps ahead or behind your prompt flow step. e.g. data preprocessing or result aggregation.\n",
+    "- How to setup a simple scheduler on my pipeline.\n",
+    "- How to deploy pipeline to an Azure ML batch endpoint. Then I can invoke it with new data when needed.\n",
+    "\n",
+    "Before you begin, consider the following prerequisites:\n",
+    "- Introduction to Azure ML Platform:\n",
+    "    - [Core site of Azure ML platform](https://learn.microsoft.com/en-us/azure/machine-learning/overview-what-is-azure-machine-learning?view=azureml-api-2).\n",
+    "    - Understand what [Azure ML pipelines](https://learn.microsoft.com/en-us/azure/machine-learning/concept-ml-pipelines?view=azureml-api-2) and [component](https://learn.microsoft.com/en-us/azure/machine-learning/concept-component?view=azureml-api-2) are.\n",
+    "- Azure cloud setup:\n",
+    "    - An Azure account with an active subscription - [Create an account for free](https://azure.microsoft.com/free/?WT.mc_id=A261C142F)\n",
+    "    - Create an Azure ML resource from Azure portal - [Create a Azure ML workspace](https://ms.portal.azure.com/#view/Microsoft_Azure_Marketplace/MarketplaceOffersBlade/searchQuery/machine%20learning)\n",
+    "    - Connect to your workspace then setup a basic computer cluster - [Configure workspace](../../configuration.ipynb)\n",
+    "- Local environment setup:\n",
+    "    - A python environment\n",
+    "    - Installed Azure Machine Learning Python SDK v2 - [install instructions](../../../README.md) - check the getting started section and make sure version of 'azure-ai-ml' is higher than `1.12.0`"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# 1. Connect to Azure Machine Learning Workspace\n",
+    "\n",
+    "The [workspace](https://docs.microsoft.com/en-us/azure/machine-learning/concept-workspace) is the top-level resource for Azure Machine Learning, providing a centralized place to work with all the artifacts you create when you use Azure Machine Learning. In this section we will connect to the workspace in which the job will be run.\n",
+    "\n",
+    "## 1.1 Import the required libraries"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# import required libraries\n",
+    "from azure.identity import DefaultAzureCredential, InteractiveBrowserCredential\n",
+    "from azure.ai.ml import MLClient, load_component, Input, Output\n",
+    "from azure.ai.ml.constants import AssetTypes\n",
+    "from azure.ai.ml.dsl import pipeline"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## 1.2 Configure credential\n",
+    "\n",
+    "We are using `DefaultAzureCredential` to get access to workspace. \n",
+    "`DefaultAzureCredential` should be capable of handling most Azure SDK authentication scenarios. \n",
+    "\n",
+    "Reference for more available credentials if it does not work for you: [configure credential example](../../configuration.ipynb), [azure-identity reference doc](https://docs.microsoft.com/en-us/python/api/azure-identity/azure.identity?view=azure-python)."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "try:\n",
+    "    credential = DefaultAzureCredential()\n",
+    "    # Check if given credential can get token successfully.\n",
+    "    credential.get_token(\"https://management.azure.com/.default\")\n",
+    "except Exception as ex:\n",
+    "    # Fall back to InteractiveBrowserCredential in case DefaultAzureCredential not work\n",
+    "    credential = InteractiveBrowserCredential()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## 1.3 Get a handle to the workspace\n",
+    "\n",
+    "We use 'config file' to connect to your workspace. Check [this notebook](../../configuration.ipynb) to get your config file from Azure ML workspace portal and paste it into this folder. Then if you pass the next code block, you've all set for the environment."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Get a handle to workspace\n",
+    "ml_client = MLClient.from_config(credential=credential)\n",
+    "\n",
+    "# Retrieve an already attached Azure Machine Learning Compute.\n",
+    "cluster_name = \"cpu-cluster\"\n",
+    "print(ml_client.compute.get(cluster_name))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# 2. Load flow as component\n",
+    "If you’ve already authored a flow using the Promptflow SDK or portal, you can locate the flow.dag.yaml file within the flow folder. This YAML specification is essential for loading your flow into an Azure ML component.\n",
+    "\n",
+    "> __REMARK:__ To use `load_component` function with flow.dag.yaml, please ensure the following:</br>\n",
+    "> - The `$schema` should be defined in target DAG yaml file. For example: `$schema: https://azuremlschemas.azureedge.net/promptflow/latest/Flow.schema.json`.</br>\n",
+    "> - Flow metadata must be generated and kept up-to-date by verifying the file '<my-flow-directory>/.promptflow/flow.tools.json'. If it doesn't exist, run the following command to generate and update it: `pf flow validate --file <my-flow-directory>`."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "flow_component = load_component(\"../../flows/standard/web-classification/flow.dag.yaml\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "When using the `load_component` function and the flow YAML specification, your flow is automatically transformed into a __[parallel component](https://learn.microsoft.com/en-us/azure/machine-learning/how-to-use-parallel-job-in-pipeline?view=azureml-api-2&tabs=cliv2#why-are-parallel-jobs-needed)__. This parallel component is designed for large-scale, offline, parallelized processing with efficiency and resilience. Here are some key features of this auto-converted component:\n",
+    "\n",
+    " - Pre-defined input and output ports:\n",
+    "\n",
+    "| port name | type | description |\n",
+    "| --------- | ---- | ----------- |\n",
+    "| data | uri_folder or uri_file | Accepts batch data input to your flow. You can use either the `uri_file` data type if your data is a single file or the `uri_folder` data type if your folder contains multiple files with the same schema. The default data type is jsonl, but you can customize this setting after declaring an instance of this flow component in your pipeline. Note that your data will be converted into a dataframe, so ensure that your CSV or TSV data includes a header line for proper mapping. |\n",
+    "| flow_outputs | uri_file | Generates a single output file named parallel_run_step.jsonl. Each line in this data file corresponds to a JSON object representing the flow returns, along with an additional column called line_number indicating its position from the original file. |\n",
+    "| debug_info | uri_folder | If you run your flow component in __debug mode__, this port provides debugging information for each run of your lines. E.g. intermediate outputs between steps, or LLM response and token usage. |\n",
+    "\n",
+    "![prompt flow base component image](../../../docs/media/cloud/flow-in-pipeline/pf-base-component.png)\n",
+    "    \n",
+    " - Auto-generated parameters \n",
+    " \n",
+    "   These parameters represent all your flow inputs and connections associated with your flow steps. You can set default values in the flow/run definition, and they can be further customized during job submission. Use '[web-classification](../../flows/standard/web-classification/flow.dag.yaml)' sample flow for example, this flow has only one input named 'url' and 2 LLM steps 'summarize_text_content' and 'classify_with_llm'. The input parameters of this flow component are:\n",
+    " \n",
+    "   ![prompt flow base component image](../../../docs/media/cloud/flow-in-pipeline/pf-component-parameters.png)\n",
+    "\n",
+    " - Auto-generated environment\n",
+    "\n",
+    "   The environment of the created component will be inherited by latest promptflow runtime image. User can include custom packages in the environment by specifying the `environment` attribute in `flow.dag.yaml`, along with a 'requirements.txt' file located under the same flow folder:\n",
+    "   ```yaml\n",
+    "      ...\n",
+    "      environment:\n",
+    "         python_requirements_txt: requirements.txt\n",
+    "   ```"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# 3. Build your pipeline\n",
+    "## 3.1 Declare input and output\n",
+    "To supply your pipeline with data, you need to declare an input using the `path`, `type`, and `mode` properties. Please note: `mount` is the default and suggested mode for your file or folder data input.\n",
+    "\n",
+    "Declaring the pipeline output is optional. However, if you require a customized output path in the cloud, you can follow the example below to set the path on the datastore. For more detailed information on valid path values, refer to this documentation - [manage pipeline inputs outputs](https://learn.microsoft.com/en-us/azure/machine-learning/how-to-manage-inputs-outputs-pipeline?view=azureml-api-2&tabs=cli#path-and-mode-for-data-inputsoutputs)."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "data_input = Input(\n",
+    "    path=\"../../flows/standard/web-classification/data.jsonl\",\n",
+    "    type=AssetTypes.URI_FILE,\n",
+    "    mode=\"mount\",\n",
+    ")\n",
+    "\n",
+    "pipeline_output = Output(\n",
+    "    # Provide custom flow output file path if needed\n",
+    "    # path=\"azureml://datastores/<data_store_name>/paths/<path>\",\n",
+    "    type=AssetTypes.URI_FOLDER,\n",
+    "    # rw_mount is suggested for flow output\n",
+    "    mode=\"rw_mount\",\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# 3.2.1 Run pipeline with single flow component\n",
+    "Since all Promptflow components are based on Azure ML parallel components, users can leverage specific __run settings__  to control the parallelization of flow runs. Below are some useful settings:\n",
+    "\n",
+    "| run settings | description | allowed values | default value |\n",
+    "| ------------ | ----------- | -------------- | ------------- |\n",
+    "| PF_INPUT_FORMAT | When utilizing `uri_folder` as the input data, this setting allows you to specify which file extensions should be treated as data files for initializing flow runs. | json, jsonl, csv, tsv | jsonl |\n",
+    "| compute | Defines which compute cluster from your Azure ML workspace will be used for this job. | | |\n",
+    "| instance_count | Define how many nodes from your compute cluster will be assigned to this job. | from 1 to node count of compute cluster. | 1 |\n",
+    "| max_concurrency_per_instance | Defines how many dedicated processors will run the flow in parallel on 1 node. When combined with the 'instance_count' setting, the total parallelization of your flow will be instance_count*max_concurrency_per_instance.| >1 | 1 |\n",
+    "| mini_batch_size | Define the number of lines for each mini-batches. A __mini-batch__ is the basic granularity for processing full data with parallelization. Each worker processor handles one mini-batch at a time, and all workers work in parallel across different nodes. | > 0 | 1 |\n",
+    "| max_retries | Defines the retry count if any mini-batch encounters an inner exception. </br></br> Remark: The retry granularity is based on mini-batches. For instance, with the previous setting, you can set 100 lines per mini-batch. When one line execution encounters a transient issue or an unhandled exception, these 100 lines will be retried together, even if the remaining 99 lines are successful. Additionally, LLM responses with status code 429 will be handled internally for flow runs in most cases and will not trigger mini-batch failure. | >= 0 | 3 |\n",
+    "| error_threshold | Defines how many failed lines are acceptable. If the count of failed lines exceeds this threshold, the job will be stopped and marked as failed. Set '-1' to disable this failure check. | -1 or >=0 | -1 |\n",
+    "| mini_batch_error_threshold | Defines the maximum number of failed mini-batches that can be tolerated after all retries. Set '-1' to disable this failure check. | -1 or >=0 | -1 |\n",
+    "| logging_level | Determines how parallel jobs save logs to disk. Setting to ‘DEBUG’ for the flow component allows the component to output intermediate flow logs into the ‘debug_info’ port. | INFO, WARNING, DEBUG | INFO |\n",
+    "| timeout | Sets the timeout checker for each mini-batch execution in milliseconds. If a mini-batch runs longer than this threshold, it will be marked as failed and trigger the next retry. Consider setting a higher value based on your mini-batch size and total traffic throughput for your LLM endpoints. | > 0 | 600 |\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Define the pipeline as a function\n",
+    "@pipeline()\n",
+    "def pipeline_func_with_flow(\n",
+    "    # Function inputs will be treated as pipeline input data or parameters.\n",
+    "    # Pipeline input could be linked to step inputs to pass data between steps.\n",
+    "    # Users are not required to define pipeline inputs.\n",
+    "    # With pipeline inputs, user can provide the different data or values when they trigger different pipeline runs.\n",
+    "    pipeline_input_data: Input,\n",
+    "    parallel_node_count: int = 1,\n",
+    "):\n",
+    "    # Declare pipeline step 'flow_node' by using flow component\n",
+    "    flow_node = flow_component(\n",
+    "        # Bind the pipeline intput data to the port 'data' of the flow component\n",
+    "        # If you don't have pipeline input, you can directly pass the 'data_input' object to the 'data'\n",
+    "        # But with this approach, you can't provide different data when you trigger different pipeline runs.\n",
+    "        # data=data_input,\n",
+    "        data=pipeline_input_data,\n",
+    "        # Declare which column of input data should be mapped to flow input\n",
+    "        # the value pattern follows ${data.<column_name_from_data_input>}\n",
+    "        url=\"${data.url}\",\n",
+    "        # Provide the connection values of the flow component\n",
+    "        # The value of connection and deployment_name should align with your workspace connection settings.\n",
+    "        connections={\n",
+    "            \"summarize_text_content\": {\n",
+    "                \"connection\": \"azure_open_ai_connection\",\n",
+    "                \"deployment_name\": \"gpt-35-turbo\",\n",
+    "            },\n",
+    "            \"classify_with_llm\": {\n",
+    "                \"connection\": \"azure_open_ai_connection\",\n",
+    "                \"deployment_name\": \"gpt-35-turbo\",\n",
+    "            },\n",
+    "        },\n",
+    "    )\n",
+    "\n",
+    "    # Provide run settings of your flow component\n",
+    "    # Only 'compute' is required and other setting will keep default value if not provided.\n",
+    "    flow_node.environment_variables = {\n",
+    "        \"PF_INPUT_FORMAT\": \"jsonl\",\n",
+    "    }\n",
+    "    flow_node.compute = \"cpu-cluster\"\n",
+    "    flow_node.resources = {\"instance_count\": parallel_node_count}\n",
+    "    flow_node.mini_batch_size = 5\n",
+    "    flow_node.max_concurrency_per_instance = 2\n",
+    "    flow_node.retry_settings = {\n",
+    "        \"max_retries\": 1,\n",
+    "        \"timeout\": 1200,\n",
+    "    }\n",
+    "    flow_node.error_threshold = -1\n",
+    "    flow_node.mini_batch_error_threshold = -1\n",
+    "    flow_node.logging_level = \"DEBUG\"\n",
+    "\n",
+    "    # Function return will be treated as pipeline output. This is not required.\n",
+    "    return {\"flow_result_folder\": flow_node.outputs.flow_outputs}\n",
+    "\n",
+    "\n",
+    "# create pipeline instance\n",
+    "pipeline_job_def = pipeline_func_with_flow(pipeline_input_data=data_input)\n",
+    "pipeline_job_def.outputs.flow_result_folder = pipeline_output"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Submit the pipeline job to your workspace then check the status of your job on UI through the link in the output."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Submit the pipeline job to your workspace\n",
+    "pipeline_job_run = ml_client.jobs.create_or_update(\n",
+    "    pipeline_job_def, experiment_name=\"Single_flow_component_pipeline_job\"\n",
+    ")\n",
+    "pipeline_job_run\n",
+    "\n",
+    "ml_client.jobs.stream(pipeline_job_run.name)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "> __NOTE:__</br>\n",
+    "> \n",
+    "> - The choice of `mini_batch_size` significantly affects the efficiency of the flow job. Since the lines within each mini-batch run sequentially, setting a higher value for this parameter increases the chunk size, which reduces parallelization. On the other hand, larger batch sizes also raise the cost of retries, as retries are based on the entire mini-batch. Conversely, opting for the lowest value (e.g., mini_batch_size=1) may introduce additional overhead, affecting efficiency across multiple mini-batches during orchestration or result summarization. So it is recommended to start with a value between 10 and 100 and fine-tune it later based on your specific requirements.</br>\n",
+    "> - The `max_concurrency_per_instance` setting can significantly enhance parallel efficiency within a single compute node. However, it also introduces several potential issues: 1) increase the risk of running out of memory, 2) LLM endpoint may experience throttling when too many requests arrive simultaneously. In general, it is advisable to set the max_concurrency_per_instance number equal to the core count of your compute to strike a balance between parallelism and resource constraints. </br>"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# 3.2.2 Run complex pipeline with multiple component\n",
+    "In a typical pipeline, you’ll find multiple steps that encompass all your offline business requirements. If you’re aiming to construct a more intricate pipeline for production, explore the following resources:\n",
+    " - [how to create component with SDK v2](https://learn.microsoft.com/en-us/azure/machine-learning/how-to-create-component-pipeline-python?view=azureml-api-2)\n",
+    " - Various component types:\n",
+    "    - [Command](https://learn.microsoft.com/en-us/azure/machine-learning/reference-yaml-component-command?view=azureml-api-2)\n",
+    "    - [Spark](https://learn.microsoft.com/en-us/azure/machine-learning/reference-yaml-component-spark?view=azureml-api-2)\n",
+    "    - [Pipeline](https://learn.microsoft.com/en-us/azure/machine-learning/reference-yaml-component-pipeline?view=azureml-api-2)\n",
+    "\n",
+    "\n",
+    "Additionally, consider the following sample code that loads two extra command components from a repository to construct a single offline pipeline:\n",
+    " - __data_prep_component__ : This dummy data preprocessing step performs simple data sampling.\n",
+    " - __result_parser_component__: Combining source data, flow results, and debugging output, it generates a single file containing origin queries, LLM predictions, and LLM token usages."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# load Azure ML components\n",
+    "data_prep_component = load_component(\"./components/data-prep/data-prep.yaml\")\n",
+    "result_parser_component = load_component(\n",
+    "    \"./components/result-parser/result-parser.yaml\"\n",
+    ")\n",
+    "\n",
+    "# load flow as component\n",
+    "flow_component = load_component(\"../../flows/standard/web-classification/flow.dag.yaml\")\n",
+    "\n",
+    "\n",
+    "@pipeline()\n",
+    "def pipeline_func_with_flow(pipeline_input_data):\n",
+    "    data_prep_node = data_prep_component(\n",
+    "        input_data_file=pipeline_input_data,\n",
+    "    )\n",
+    "    data_prep_node.compute = \"cpu-cluster\"\n",
+    "\n",
+    "    flow_node = flow_component(\n",
+    "        # Feed the output of data_prep_node to the flow component\n",
+    "        data=data_prep_node.outputs.output_data_folder,\n",
+    "        url=\"${data.url}\",\n",
+    "        connections={\n",
+    "            \"summarize_text_content\": {\n",
+    "                \"connection\": \"azure_open_ai_connection\",\n",
+    "                \"deployment_name\": \"gpt-35-turbo\",\n",
+    "            },\n",
+    "            \"classify_with_llm\": {\n",
+    "                \"connection\": \"azure_open_ai_connection\",\n",
+    "                \"deployment_name\": \"gpt-35-turbo\",\n",
+    "            },\n",
+    "        },\n",
+    "    )\n",
+    "\n",
+    "    flow_node.environment_variables = {\"PF_INPUT_FORMAT\": \"csv\"}\n",
+    "    flow_node.compute = \"cpu-cluster\"\n",
+    "    flow_node.mini_batch_size = 5\n",
+    "    flow_node.max_concurrency_per_instance = 2\n",
+    "    flow_node.resources = {\"instance_count\": 1}\n",
+    "    flow_node.outputs.flow_outputs.mode = \"rw_mount\"\n",
+    "    flow_node.logging_level = \"DEBUG\"\n",
+    "\n",
+    "    result_parser_node = result_parser_component(\n",
+    "        source_data=data_prep_node.outputs.output_data_folder,\n",
+    "        pf_output_data=flow_node.outputs.flow_outputs,\n",
+    "        pf_debug_data=flow_node.outputs.debug_info,\n",
+    "    )\n",
+    "\n",
+    "    flow_node.retry_settings = {\n",
+    "        \"max_retries\": 1,\n",
+    "        \"timeout\": 6000,\n",
+    "    }\n",
+    "\n",
+    "    result_parser_node.compute = \"cpu-cluster\"\n",
+    "\n",
+    "    return {\"flow_result_folder\": result_parser_node.outputs.merged_data}\n",
+    "\n",
+    "\n",
+    "# create pipeline instance\n",
+    "pipeline_job_def = pipeline_func_with_flow(pipeline_input_data=data_input)\n",
+    "pipeline_job_def.outputs.flow_result_folder = pipeline_output"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Submit the pipeline job to your workspace then check the status of your job on UI through the link in the output."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# submit job to workspace\n",
+    "pipeline_job_run = ml_client.jobs.create_or_update(\n",
+    "    pipeline_job_def, experiment_name=\"Complex_flow_component_pipeline_job\"\n",
+    ")\n",
+    "pipeline_job_run\n",
+    "\n",
+    "ml_client.jobs.stream(pipeline_job_run.name)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# 4.1 Next step - Setup scheduler for your pipeline\n",
+    "\n",
+    "Azure Machine Learning pipelines support native __scheduler__ to help users regularly run their pipeline jobs with predefined time triggers. Here’s a code example for setting up a scheduler on a newly created pipeline using the flow component.\n",
+    "\n",
+    "Let’s begin by declaring a scheduler with a customized recurrence pattern."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from datetime import datetime\n",
+    "from azure.ai.ml.entities import JobSchedule, RecurrenceTrigger, RecurrencePattern\n",
+    "from azure.ai.ml.constants import TimeZone\n",
+    "\n",
+    "schedule_name = \"simple_sdk_create_schedule_recurrence\"\n",
+    "schedule_start_time = datetime.utcnow()\n",
+    "\n",
+    "recurrence_trigger = RecurrenceTrigger(\n",
+    "    frequency=\"day\",  # could accept \"hour\", \"minute\", \"day\", \"week\", \"month\"\n",
+    "    interval=1,\n",
+    "    schedule=RecurrencePattern(hours=10, minutes=[0, 1]),\n",
+    "    start_time=schedule_start_time,\n",
+    "    time_zone=TimeZone.UTC,\n",
+    ")\n",
+    "\n",
+    "job_schedule = JobSchedule(\n",
+    "    name=schedule_name,\n",
+    "    trigger=recurrence_trigger,\n",
+    "    # Declare the pipeline job to be scheduled. Here we uses the pipeline job created in previous example.\n",
+    "    create_job=pipeline_job_def,\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "To initiate the scheduler, follow this example:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "job_schedule = ml_client.schedules.begin_create_or_update(\n",
+    "    schedule=job_schedule\n",
+    ").result()\n",
+    "print(job_schedule)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "To review all your scheduled jobs, navigate to the __Job List__ page within the Azure Machine Learning workspace UI. Any job triggered by the scheduler will have a display name following this format: `<schedule_name>-<trigger_time>`. For instance, if you have a schedule named “named-schedule,” a job triggered on January 1, 2021, at 06:00:00 UTC will have the display name “named-schedule-20210101T060000Z.”\n",
+    "\n",
+    "To disable or shut down a running scheduler, follow this example:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "job_schedule = ml_client.schedules.begin_disable(name=schedule_name).result()\n",
+    "job_schedule.is_enabled"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "To explore further details about scheduling Azure Machine Learning pipeline jobs, visit this article on [how to schedule pipeline job](https://learn.microsoft.com/en-us/azure/machine-learning/how-to-schedule-pipeline-job?view=azureml-api-2&tabs=python)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# 4.2 Next step - Deploy pipeline to an endpoint\n",
+    "Azure Machine Learning also offers __batch endpoints__, which enable you to deploy pipelines to an endpoint for efficient operationalization. If you require scheduling for your flow pipeline using an external orchestrator, such as Azure Data Factory or Microsoft Fabric, utilizing batch endpoints is the optimal recommendation for your flow pipeline.\n",
+    "\n",
+    "Let’s start by creating a new batch endpoint in your workspace."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from azure.ai.ml.entities import BatchEndpoint, PipelineComponentBatchDeployment\n",
+    "\n",
+    "# from azure.ai.ml.entities import ModelBatchDeployment, ModelBatchDeploymentSettings, Model, AmlCompute, Data, BatchRetrySettings, CodeConfiguration, Environment, Data\n",
+    "# from azure.ai.ml.constants import BatchDeploymentOutputAction\n",
+    "\n",
+    "\n",
+    "endpoint_name = \"hello-my-pipeline-endpoint\"\n",
+    "endpoint = BatchEndpoint(\n",
+    "    name=endpoint_name,\n",
+    "    description=\"A hello world endpoint for pipeline\",\n",
+    ")\n",
+    "\n",
+    "ml_client.batch_endpoints.begin_create_or_update(endpoint).result()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Each endpoint can support multiple deployments, each associated with distinct pipelines. In this context, we initiate a new deployment using our flow pipeline job, targeting the recently established endpoint."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "deployment = PipelineComponentBatchDeployment(\n",
+    "    name=\"my-pipeline-deployment\",\n",
+    "    description=\"A hello world deployment with a pipeline job.\",\n",
+    "    endpoint_name=endpoint.name,\n",
+    "    # Make sure 'pipeline_job_run' run successfully before deploying the endpoint\n",
+    "    job_definition=pipeline_job_run,\n",
+    "    settings={\"default_compute\": \"cpu-cluster\", \"continue_on_step_failure\": False},\n",
+    ")\n",
+    "\n",
+    "ml_client.batch_deployments.begin_create_or_update(deployment).result()\n",
+    "\n",
+    "# Refresh the default deployment to the latest one at our endpoint.\n",
+    "endpoint = ml_client.batch_endpoints.get(endpoint.name)\n",
+    "endpoint.defaults.deployment_name = deployment.name\n",
+    "ml_client.batch_endpoints.begin_create_or_update(endpoint).result()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Invoke the default deployment to target endpoint with proper data:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "batch_endpoint_job = ml_client.batch_endpoints.invoke(\n",
+    "    endpoint_name=endpoint.name,\n",
+    "    inputs={\"pipeline_input_data\": data_input},\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Finally, verify the invocation on the workspace UI using the following link:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "ml_client.jobs.get(batch_endpoint_job.name)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "To explore further details about Azure Machine Learning batch endpoint, visit this article on [how-to-use-batch-pipeline-deployments](https://learn.microsoft.com/en-us/azure/machine-learning/how-to-use-batch-pipeline-deployments?view=azureml-api-2&tabs=python)"
+   ]
+  }
+ ],
+ "metadata": {
+  "description": "Create pipeline using components to run a distributed job with tensorflow",
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.10.13"
+  },
+  "resources": "examples/flows/standard/web-classification"
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
diff --git a/examples/tutorials/run-management/run-management.ipynb b/examples/tutorials/run-management/run-management.ipynb
index 3d34d903e7f..25a638bf281 100644
--- a/examples/tutorials/run-management/run-management.ipynb
+++ b/examples/tutorials/run-management/run-management.ipynb
@@ -58,7 +58,7 @@
    "outputs": [],
    "source": [
     "import json\n",
-    "from promptflow import PFClient\n",
+    "from promptflow.client import PFClient\n",
     "from promptflow.connections import AzureOpenAIConnection, OpenAIConnection\n",
     "\n",
     "# client can help manage your runs and connections.\n",
@@ -113,7 +113,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "from promptflow._sdk._load_functions import load_run\n",
+    "from promptflow.client import load_run\n",
     "\n",
     "# load a run from YAML file\n",
     "base_run = load_run(\n",
diff --git a/scripts/building/dev_setup.py b/scripts/building/dev_setup.py
deleted file mode 100644
index d4a0935037c..00000000000
--- a/scripts/building/dev_setup.py
+++ /dev/null
@@ -1,43 +0,0 @@
-import argparse
-from pathlib import Path
-from platform import system
-
-from utils import print_blue, run_command
-
-
-def setup_promptflow(extra_deps: list, command_args: dict) -> None:
-    print_blue("- Setting up the promptflow SDK ")
-    print_blue("- Installing promptflow Python SDK from local directory")
-    package_location = f"{Path('./src/promptflow/').absolute()}"
-    if extra_deps:
-        print_blue(f"- Installing with extra dependencies: {extra_deps}")
-        extra_deps = ",".join(extra_deps)
-        package_location = f"{package_location}[{extra_deps}]"
-    cmds = ["pip", "install", "-e", package_location]
-    print_blue(f"Running {cmds}")
-    run_command(commands=cmds, **command_args)
-    run_command(
-        commands=["pip", "install", "-r", str(Path("./src/promptflow/dev_requirements.txt").absolute())],
-        **command_args,
-    )
-
-
-if __name__ == "__main__":
-    epilog = """
-    Sample Usages:
-        python scripts/building/dev_setup.py
-        python scripts/building/dev_setup.py --promptflow-extra-deps azure
-    """
-    parser = argparse.ArgumentParser(
-        description="Welcome to promptflow dev setup!",
-        epilog=epilog,
-    )
-    parser.add_argument(
-        "--promptflow-extra-deps", required=False, nargs="+", type=str, help="extra dependencies for promptflow"
-    )
-    parser.add_argument("-v", "--verbose", action="store_true", required=False, help="turn on verbose output")
-    args = parser.parse_args()
-
-    command_args = {"shell": system() == "Windows", "stream_stdout": args.verbose}
-    setup_promptflow(extra_deps=args.promptflow_extra_deps, command_args=command_args)
-    run_command(commands=["pre-commit", "install"], **command_args)
diff --git a/scripts/compliance-check/user_exclusion.xml b/scripts/compliance-check/user_exclusion.xml
index 2733c3cb150..73646e29452 100644
--- a/scripts/compliance-check/user_exclusion.xml
+++ b/scripts/compliance-check/user_exclusion.xml
@@ -1,6 +1,7 @@
 <PoliCheckExclusions>
   <!-- All strings must be UPPER CASE -->
   <!--index-xxx.js is an auto-generated javascript file - skipped given it's not expected to be readable -->
-  <Exclusion Type="FileName">SRC\PROMPTFLOW\PROMPTFLOW\_SDK\_SERVING\STATIC\INDEX.JS</Exclusion>
+  <Exclusion Type="FileName">SRC\PROMPTFLOW-CORE\PROMPTFLOW\CORE\_SERVING\STATIC\INDEX.JS</Exclusion>
   <Exclusion Type="FileType">.MIN.JS</Exclusion>
+  <Exclusion Type="FolderPathFull">SRC\PROMPTFLOW-DEVKIT\PROMPTFLOW\_SDK\_SERVICE\STATIC\</Exclusion>
 </PoliCheckExclusions>
diff --git a/scripts/dev-setup/main.py b/scripts/dev-setup/main.py
new file mode 100644
index 00000000000..41e57ac65fc
--- /dev/null
+++ b/scripts/dev-setup/main.py
@@ -0,0 +1,157 @@
+# ---------------------------------------------------------
+# Copyright (c) Microsoft Corporation. All rights reserved.
+# ---------------------------------------------------------
+
+import argparse
+import os
+import site
+import typing
+from dataclasses import dataclass
+from pathlib import Path
+
+from test_resources import REGISTERED_TEST_RESOURCES_FUNCTIONS
+from utils import REPO_ROOT_DIR, change_cwd, print_blue, run_cmd
+
+PROMPT_FLOW_PKGS = [
+    "promptflow-tracing",
+    "promptflow-core",
+    "promptflow-devkit",
+    "promptflow-azure",
+    "promptflow[azure]",
+    "promptflow-tools",
+]
+
+
+def set_up_git_hook_scripts(verbose: bool) -> None:
+    run_cmd(["pip", "install", "pre-commit"], verbose=False)  # ensure pre-commit is installed
+    cmd = ["pre-commit", "install"]
+    print_blue("Running `pre-commit install` to set up the git hook scripts")
+    run_cmd(cmd, verbose=verbose)
+
+
+def collect_and_install_from_pyproject() -> None:
+    # collect dependencies from pyproject.toml and install
+    deps = []
+    # cwd is already changed to the package folder in the context
+    # so we can safely open pyproject.toml here
+    with open("pyproject.toml", mode="r", encoding="utf-8") as f:
+        lines = f.readlines()
+        collect_flag = False
+        for line in lines:
+            line = line.strip()
+            if line.startswith("["):
+                if "[tool.poetry.group.dev.dependencies]" in line or "[tool.poetry.group.test.dependencies]" in line:
+                    collect_flag = True
+                    continue
+                else:
+                    collect_flag = False
+            if collect_flag and line:
+                deps.append(line.split("=")[0].strip())
+    cmd = ["pip", "install"] + deps
+    run_cmd(cmd)
+
+
+def inject_pth_file() -> None:
+    # content of the .pth file will be added to `sys.path`
+    # for packages installed from pyproject.toml, this file should already be there
+    # for `promptflow`, inject this, and we can avoid `conda env config vars set`
+    # reference: https://docs.python.org/3/library/site.html
+    site_packages_path = Path(site.getsitepackages()[0])
+    with open(site_packages_path / "promptflow.pth", mode="w", encoding="utf-8") as f:
+        f.write((REPO_ROOT_DIR / "src" / "promptflow").resolve().absolute().as_posix())
+
+
+def install_pkg_editable(pkg: str, verbose: bool, is_vscode: bool = False) -> None:
+    if "[" in pkg:
+        folder_name, extras = pkg.split("[")
+        extras = f"[{extras}"
+    else:
+        folder_name = pkg
+        extras = ""
+    pkg_working_dir = REPO_ROOT_DIR / "src" / folder_name
+    with change_cwd(pkg_working_dir):
+        print_blue(f"- Setting up {pkg}")
+
+        # pip install -e . from pyproject.toml/setup.py
+        print_blue(f"- Installing {pkg} from source")
+        cmd = ["pip", "install", "--editable", f".{extras}"]
+        run_cmd(cmd, verbose=verbose)
+
+        # dev and test dependencies
+        print_blue(f"- Installing dev and test dependencies for {pkg}")
+        # promptflow folder has "dev_requirements.txt", directly install it
+        if folder_name == "promptflow":
+            cmd = ["pip", "install", "-r", "dev_requirements.txt"]
+            run_cmd(cmd, verbose=verbose)
+            inject_pth_file()
+        # promptflow-tools
+        # reference: https://github.com/microsoft/promptflow/blob/main/src/promptflow-tools/README.dev.md
+        elif pkg == "promptflow-tools":
+            cmd = ["pip", "install", "-r", "requirements.txt"]
+            run_cmd(cmd, verbose=verbose)
+            cmd = ["pip", "install", "pytest", "pytest-mock"]
+            run_cmd(cmd, verbose=verbose)
+        # promptflow-* will have "pyproject.toml", parse and install
+        # we can refine this leveraging `poetry export` later
+        elif os.path.exists("pyproject.toml"):
+            collect_and_install_from_pyproject()
+
+            # touch __init__.py for the package for VS Code
+            # NOTE that this is a workaround to enable VS Code to recognize the namespace package
+            #      we should be able to remove this after we fully deprecate promptflow in local development
+            if is_vscode:
+                with open(pkg_working_dir / "promptflow" / "__init__.py", mode="w", encoding="utf-8") as f:
+                    f.write("")
+
+
+@dataclass
+class Arguments:
+    packages: typing.List[str]
+    verbose: bool = False
+    vscode: bool = False
+
+    @staticmethod
+    def parse_args() -> "Arguments":
+        epilog = "Example usage: main.py --packages promptflow-tracing promptflow-core"
+        parser = argparse.ArgumentParser(
+            description="Welcome to promptflow dev setup!",
+            epilog=epilog,
+        )
+        parser.add_argument(
+            "--packages",
+            required=False,
+            nargs="+",
+            type=str,
+            default=PROMPT_FLOW_PKGS,
+            help="packages to install in editable mode",
+        )
+        parser.add_argument(
+            "-v",
+            "--verbose",
+            action="store_true",
+            help="turn on verbose output",
+        )
+        parser.add_argument(
+            "--vscode",
+            action="store_true",
+            help="extra setup step for Visual Studio Code",
+        )
+        args = parser.parse_args()
+        return Arguments(
+            packages=args.packages,
+            verbose=args.verbose,
+            vscode=args.vscode,
+        )
+
+
+def main(args: Arguments) -> None:
+    for pkg in args.packages:
+        install_pkg_editable(pkg, verbose=args.verbose, is_vscode=args.vscode)
+        # invoke test resource template creation function if available
+        if pkg in REGISTERED_TEST_RESOURCES_FUNCTIONS:
+            REGISTERED_TEST_RESOURCES_FUNCTIONS[pkg]()
+    set_up_git_hook_scripts(verbose=args.verbose)
+
+
+if __name__ == "__main__":
+    main(args=Arguments.parse_args())
diff --git a/scripts/dev-setup/test_resources.py b/scripts/dev-setup/test_resources.py
new file mode 100644
index 00000000000..b9f452200aa
--- /dev/null
+++ b/scripts/dev-setup/test_resources.py
@@ -0,0 +1,49 @@
+# ---------------------------------------------------------
+# Copyright (c) Microsoft Corporation. All rights reserved.
+# ---------------------------------------------------------
+
+import json
+import shutil
+from pathlib import Path
+
+from utils import REPO_ROOT_DIR, print_yellow
+
+
+def _prompt_user_for_test_resources(path: Path) -> None:
+    prompt_msg = (
+        f"Created test-required file {path.name!r} at {path.as_posix()!r}, "
+        "please update with your test resource(s)."
+    )
+    print_yellow(prompt_msg)
+
+
+def create_tracing_test_resource_template() -> None:
+    working_dir = REPO_ROOT_DIR / "src" / "promptflow-tracing"
+    connections_filename = "connections.json"
+    connections_file_path = (working_dir / connections_filename).resolve().absolute()
+    connections_template = {
+        "azure_open_ai_connection": {
+            "value": {
+                "api_key": "aoai-api-key",
+                "api_base": "aoai-api-endpoint",
+                "api_version": "2023-07-01-preview",
+            }
+        }
+    }
+    with open(connections_file_path, mode="w", encoding="utf-8") as f:
+        json.dump(connections_template, f, ensure_ascii=False, indent=4)
+    _prompt_user_for_test_resources(connections_file_path)
+
+
+def create_tools_test_resource_template() -> None:
+    working_dir = REPO_ROOT_DIR / "src" / "promptflow-tools"
+    example_file_path = (working_dir / "connections.json.example").resolve().absolute()
+    target_file_path = (working_dir / "connections.json").resolve().absolute()
+    shutil.copy(example_file_path, target_file_path)
+    _prompt_user_for_test_resources(target_file_path)
+
+
+REGISTERED_TEST_RESOURCES_FUNCTIONS = {
+    "promptflow-tracing": create_tracing_test_resource_template,
+    "promptflow-tools": create_tools_test_resource_template,
+}
diff --git a/scripts/dev-setup/utils.py b/scripts/dev-setup/utils.py
new file mode 100644
index 00000000000..84bc6a9a3e2
--- /dev/null
+++ b/scripts/dev-setup/utils.py
@@ -0,0 +1,52 @@
+# ---------------------------------------------------------
+# Copyright (c) Microsoft Corporation. All rights reserved.
+# ---------------------------------------------------------
+
+import contextlib
+import os
+import platform
+import subprocess
+import sys
+from pathlib import Path
+
+REPO_ROOT_DIR = Path(__file__).parent.parent.parent
+
+
+class Color:
+    BLUE = "\033[94m"
+    YELLOW = "\033[93m"
+    END = "\033[0m"
+
+
+def print_blue(msg: str) -> None:
+    print(Color.BLUE + msg + Color.END)
+
+
+def print_yellow(msg: str) -> None:
+    print(Color.YELLOW + msg + Color.END)
+
+
+@contextlib.contextmanager
+def change_cwd(path):
+    cwd = os.getcwd()
+    try:
+        os.chdir(path)
+        yield
+    finally:
+        os.chdir(cwd)
+
+
+def run_cmd(cmd, verbose: bool = False) -> None:
+    print_blue(f"Running {' '.join(cmd)}")
+    shell = platform.system() == "Windows"
+    p = subprocess.Popen(
+        cmd,
+        stdout=subprocess.PIPE,
+        stderr=subprocess.STDOUT,
+        shell=shell,
+    )
+    for line in p.stdout:
+        line = line.decode("utf-8").rstrip()
+        if verbose:
+            sys.stdout.write(f"{line}\n")
+    p.communicate()
diff --git a/scripts/docs/api_doc_templates/package.rst_t b/scripts/docs/api_doc_templates/package.rst_t
new file mode 100644
index 00000000000..2610d09c415
--- /dev/null
+++ b/scripts/docs/api_doc_templates/package.rst_t
@@ -0,0 +1,57 @@
+{%- macro automodule(modname, options) -%}
+.. automodule:: {{ modname }}
+{%- for option in options %}
+   :{{ option }}:
+{%- endfor %}
+{%- endmacro %}
+
+{%- macro toctree(docnames) -%}
+.. toctree::
+   :maxdepth: {{ maxdepth }}
+{% for docname in docnames %}
+   {{ docname }}
+{%- endfor %}
+{%- endmacro %}
+
+{%- if is_namespace %}
+{{- [pkgname, "namespace"] | join(" ") | e | heading }}
+{% else %}
+{{- [pkgname, ""] | join(" ") | e | heading }}
+{% endif %}
+
+{%- if is_namespace %}
+.. py:module:: {{ pkgname }}
+{% endif %}
+
+{%- if modulefirst and not is_namespace %}
+{{ automodule(pkgname, automodule_options) }}
+{% endif %}
+
+{%- if subpackages %}
+Subpackages
+-----------
+
+{{ toctree(subpackages) }}
+{% endif %}
+
+{%- if submodules %}
+Submodules
+----------
+{% if separatemodules %}
+{{ toctree(submodules) }}
+{% else %}
+{%- for submodule in submodules %}
+{% if show_headings %}
+{{- [submodule, "module"] | join(" ") | e | heading(2) }}
+{% endif %}
+{{ automodule(submodule, automodule_options) }}
+{% endfor %}
+{%- endif %}
+{%- endif %}
+
+{%- if not modulefirst and not is_namespace %}
+Module contents
+---------------
+
+{{ automodule(pkgname, automodule_options) }}
+{% endif %}
\ No newline at end of file
diff --git a/scripts/docs/doc_generation.ps1 b/scripts/docs/doc_generation.ps1
index bf6eaa491d6..37a5913f389 100644
--- a/scripts/docs/doc_generation.ps1
+++ b/scripts/docs/doc_generation.ps1
@@ -19,7 +19,7 @@ param(
 [string] $RepoRootPath = $ScriptPath | Split-Path -Parent | Split-Path -Parent
 [string] $DocPath = [System.IO.Path]::Combine($RepoRootPath, "docs")
 [string] $TempDocPath = New-TemporaryFile | % { Remove-Item $_; New-Item -ItemType Directory -Path $_ }
-[string] $PkgSrcPath = [System.IO.Path]::Combine($RepoRootPath, "src\promptflow\promptflow")
+[string] $PkgSrcPath = [System.IO.Path]::Combine($RepoRootPath, "src")
 [string] $OutPath = [System.IO.Path]::Combine($ScriptPath, "_build")
 [string] $SphinxApiDoc = [System.IO.Path]::Combine($DocPath, "sphinx_apidoc.log")
 [string] $SphinxBuildDoc = [System.IO.Path]::Combine($DocPath, "sphinx_build.log")
@@ -62,6 +62,32 @@ Write-Host "Copy doc to: $TempDocPath"
 ROBOCOPY $DocPath $TempDocPath /S /NFL /NDL /XD "*.git" [System.IO.Path]::Combine($DocPath, "_scripts\_build")
 ProcessFiles
 
+function ForceOverwrite {
+    param (
+        [string] $Module
+    )
+    $FileName = "promptflow.{0}.rst" -f $Module
+    $TargetRst = [System.IO.Path]::Combine($RepoRootPath, ("scripts\docs\{0}" -f $FileName))
+    $AutoGenRst = [System.IO.Path]::Combine($RefDocPath, $FileName)
+    Copy-Item -Path $TargetRst -Destination $AutoGenRst -Force
+}
+
+function Update-Sub-Pkg-Index-Title {
+    param (
+        [string] $SubPkgRefDocPath,
+        [string] $SubPkgName
+    )
+    # This is used to update the title of the promptflow.rst file in the sub package
+    # from 'promptflow namespaces' to package name
+    $IndexRst = [System.IO.Path]::Combine($SubPkgRefDocPath, "promptflow.rst")
+    $IndexContent = Get-Content $IndexRst
+    $IndexContent[0] = ("{0} package" -f $SubPkgName)
+    $IndexContent[1] = "================================="
+    $IndexContent[2] = ".. py:module:: promptflow"
+    $IndexContent[3] = "   :noindex:"
+    Set-Content $IndexRst $IndexContent
+}
+
 if($WithReferenceDoc){
     $RefDocRelativePath = "reference\python-library-reference"
     $RefDocPath = [System.IO.Path]::Combine($TempDocPath, $RefDocRelativePath)
@@ -70,15 +96,27 @@ if($WithReferenceDoc){
     }
     Remove-Item $RefDocPath -Recurse -Force
     Write-Host "===============Build Promptflow Reference Doc==============="
-    sphinx-apidoc --module-first --no-headings --no-toc --implicit-namespaces "$PkgSrcPath" -o "$RefDocPath" | Tee-Object -FilePath $SphinxApiDoc 
-    $apidocWarningsAndErrors = Select-String -Path $SphinxApiDoc -Pattern $WarningErrorPattern
-
-    Write-Host "=============== Overwrite promptflow.connections.rst ==============="
-    # We are doing this overwrite because the connection entities are also defined in the promptflow.entities module
-    # and it will raise duplicate object description error if we don't do so when we run sphinx-build later.
-    $ConnectionRst = [System.IO.Path]::Combine($RepoRootPath, "scripts\docs\promptflow.connections.rst")
-    $AutoGenConnectionRst = [System.IO.Path]::Combine($RefDocPath, "promptflow.connections.rst")
-    Copy-Item -Path $ConnectionRst -Destination $AutoGenConnectionRst -Force
+    $ApidocWarningsAndErrors = [System.Collections.ArrayList]::new()
+    $IgnoreList = @("promptflow-recording", "promptflow", "promptflow-tools")
+    foreach($Item in Get-Childitem -path $PkgSrcPath){
+        if(-not ($Item -is [System.IO.DirectoryInfo])){
+            # Only looking for package directory
+            continue
+        }
+        if($IgnoreList -contains $Item.Name){
+            continue
+        }
+        $SubPkgPath = [System.IO.Path]::Combine($Item.FullName, "promptflow")
+        $SubPkgRefDocPath = [System.IO.Path]::Combine($RefDocPath, $Item.Name)
+        Write-Host "===============Build $Item Reference Doc==============="
+        $TemplatePath = [System.IO.Path]::Combine($RepoRootPath, "scripts\docs\api_doc_templates")
+        sphinx-apidoc --module-first --no-headings --no-toc --implicit-namespaces "$SubPkgPath" -o "$SubPkgRefDocPath" -t $TemplatePath | Tee-Object -FilePath $SphinxApiDoc
+        $SubPkgWarningsAndErrors = Select-String -Path $SphinxApiDoc -Pattern $WarningErrorPattern
+        if($SubPkgWarningsAndErrors){
+            $ApidocWarningsAndErrors.AddRange($SubPkgWarningsAndErrors)
+        }
+        Update-Sub-Pkg-Index-Title $SubPkgRefDocPath $Item.Name
+    }
 }
 
 
@@ -97,9 +135,9 @@ $buildWarningsAndErrors = Select-String -Path $SphinxBuildDoc -Pattern $WarningE
 Write-Host "Clean path: $TempDocPath"
 Remove-Item $TempDocPath -Recurse -Confirm:$False -Force
 
-if ($apidocWarningsAndErrors) {  
+if ($ApidocWarningsAndErrors) {
     Write-Host "=============== API doc warnings and errors ==============="  
-    foreach ($line in $apidocWarningsAndErrors) {  
+    foreach ($line in $ApidocWarningsAndErrors) {
         Write-Host $line -ForegroundColor Red  
     }  
 }  
diff --git a/scripts/docs/promptflow.connections.rst b/scripts/docs/promptflow.connections.rst
deleted file mode 100644
index 6339308852e..00000000000
--- a/scripts/docs/promptflow.connections.rst
+++ /dev/null
@@ -1,44 +0,0 @@
-promptflow.connections package
-==============================
-
-.. autoclass:: promptflow.connections.AzureContentSafetyConnection
-   :members:
-   :undoc-members:
-   :show-inheritance:
-   :noindex:
-
-.. autoclass:: promptflow.connections.AzureOpenAIConnection
-   :members:
-   :undoc-members:
-   :show-inheritance:
-   :noindex:
-
-.. autoclass:: promptflow.connections.CognitiveSearchConnection
-   :members:
-   :undoc-members:
-   :show-inheritance:
-   :noindex:
-
-.. autoclass:: promptflow.connections.CustomConnection
-   :members:
-   :undoc-members:
-   :show-inheritance:
-   :noindex:
-
-.. autoclass:: promptflow.connections.FormRecognizerConnection
-   :members:
-   :undoc-members:
-   :show-inheritance:
-   :noindex:
-
-.. autoclass:: promptflow.connections.OpenAIConnection
-   :members:
-   :undoc-members:
-   :show-inheritance:
-   :noindex:
-
-.. autoclass:: promptflow.connections.SerpConnection
-   :members:
-   :undoc-members:
-   :show-inheritance:
-   :noindex:
diff --git a/scripts/installer/curl_install_pypi/README.md b/scripts/installer/curl_install_pypi/README.md
index 90185f83b2f..33c2a9cf3ca 100644
--- a/scripts/installer/curl_install_pypi/README.md
+++ b/scripts/installer/curl_install_pypi/README.md
@@ -17,15 +17,12 @@ Uninstall the promptflow by directly deleting the files from the location chosen
    ```bash
    # The default install/executable location is the user's home directory ($HOME).
    rm -r $HOME/lib/promptflow
-   rm $HOME/bin/pf
-   rm $HOME/bin/pfs
-   rm $HOME/bin/pfazure
    ```
 
 2. Modify your `$HOME/.bash_profile` or `$HOME/.bashrc` file to remove the following line:
 
    ```text
-   export PATH=$PATH:$HOME/bin
+   export PATH=$PATH:$HOME/lib/promptflow/bin
    ```
 
 3. If using `bash` or `zsh`, reload your shell's command cache.
diff --git a/scripts/installer/curl_install_pypi/install.py b/scripts/installer/curl_install_pypi/install.py
index 897a3c2cc62..5d4a7499ff5 100644
--- a/scripts/installer/curl_install_pypi/install.py
+++ b/scripts/installer/curl_install_pypi/install.py
@@ -15,31 +15,15 @@
 import os
 import sys
 import platform
-import stat
 import tempfile
 import shutil
 import subprocess
-import hashlib
 
 
-PF_DISPATCH_TEMPLATE = """#!/usr/bin/env bash
-export PF_INSTALLER=Script
-{install_dir}/bin/python -m promptflow._cli._pf.entry "$@"
-"""
-
-PFAZURE_DISPATCH_TEMPLATE = """#!/usr/bin/env bash
-{install_dir}/bin/python -m promptflow._cli._pf_azure.entry "$@"
-"""
-
-PFS_DISPATCH_TEMPLATE = """#!/usr/bin/env bash
-{install_dir}/bin/python -m promptflow._sdk._service.entry "$@"
-"""
-
 DEFAULT_INSTALL_DIR = os.path.expanduser(os.path.join('~', 'lib', 'promptflow'))
 DEFAULT_EXEC_DIR = os.path.expanduser(os.path.join('~', 'bin'))
 PF_EXECUTABLE_NAME = 'pf'
 PFAZURE_EXECUTABLE_NAME = 'pfazure'
-PFS_EXECUTABLE_NAME = 'pfs'
 
 
 USER_BASH_RC = os.path.expanduser(os.path.join('~', '.bashrc'))
@@ -96,14 +80,6 @@ def create_dir(dir):
         os.makedirs(dir)
 
 
-def is_valid_sha256sum(a_file, expected_sum):
-    sha256 = hashlib.sha256()
-    with open(a_file, 'rb') as f:
-        sha256.update(f.read())
-    computed_hash = sha256.hexdigest()
-    return expected_sum == computed_hash
-
-
 def create_virtualenv(install_dir):
     cmd = [sys.executable, '-m', 'venv', install_dir]
     exec_command(cmd)
@@ -111,8 +87,8 @@ def create_virtualenv(install_dir):
 
 def install_cli(install_dir, tmp_dir):
     path_to_pip = os.path.join(install_dir, 'bin', 'pip')
-    cmd = [path_to_pip, 'install', '--cache-dir', tmp_dir, 'promptflow[azure,executable,azureml-serving]',
-           '--upgrade']
+    cmd = [path_to_pip, 'install', '--cache-dir', tmp_dir,
+           'promptflow[azure,executable,azureml-serving,executor-service]', '--upgrade']
     exec_command(cmd)
     cmd = [path_to_pip, 'install', '--cache-dir', tmp_dir, 'promptflow-tools', '--upgrade']
     exec_command(cmd)
@@ -120,22 +96,6 @@ def install_cli(install_dir, tmp_dir):
     exec_command(cmd)
 
 
-def create_executable(exec_dir, install_dir):
-    create_dir(exec_dir)
-    exec_filepaths = []
-    for filename, template in [(PF_EXECUTABLE_NAME, PF_DISPATCH_TEMPLATE),
-                               (PFAZURE_EXECUTABLE_NAME, PFAZURE_DISPATCH_TEMPLATE),
-                               (PFS_EXECUTABLE_NAME, PFS_DISPATCH_TEMPLATE)]:
-        exec_filepath = os.path.join(exec_dir, filename)
-        with open(exec_filepath, 'w') as exec_file:
-            exec_file.write(template.format(install_dir=install_dir))
-        cur_stat = os.stat(exec_filepath)
-        os.chmod(exec_filepath, cur_stat.st_mode | stat.S_IXUSR | stat.S_IXGRP | stat.S_IXOTH)
-        print_status("The executable is available at '{}'.".format(exec_filepath))
-        exec_filepaths.append(exec_filepath)
-    return exec_filepaths
-
-
 def get_install_dir():
     install_dir = None
     while not install_dir:
@@ -161,21 +121,6 @@ def get_install_dir():
     return install_dir
 
 
-def get_exec_dir():
-    exec_dir = None
-    while not exec_dir:
-        prompt_message = (f"In what directory would you like to place the "
-                          f"'{PFS_EXECUTABLE_NAME}/{PFS_EXECUTABLE_NAME}/{PFAZURE_EXECUTABLE_NAME}' executable?")
-        exec_dir = prompt_input_with_default(prompt_message, DEFAULT_EXEC_DIR)
-        exec_dir = os.path.realpath(os.path.expanduser(exec_dir))
-        if ' ' in exec_dir:
-            print_status("The executable directory '{}' cannot contain spaces.".format(exec_dir))
-            exec_dir = None
-    create_dir(exec_dir)
-    print_status("The executable will be in '{}'.".format(exec_dir))
-    return exec_dir
-
-
 def _backup_rc(rc_file):
     try:
         shutil.copyfile(rc_file, rc_file+'.backup')
@@ -240,28 +185,28 @@ def warn_other_azs_on_path(exec_dir, exec_filepath):
     conflicting_paths = []
     if env_path:
         for p in env_path.split(':'):
-            for file in [PF_EXECUTABLE_NAME, PFAZURE_EXECUTABLE_NAME, PFS_EXECUTABLE_NAME]:
+            for file in [PF_EXECUTABLE_NAME, PFAZURE_EXECUTABLE_NAME]:
                 p_to_pf = os.path.join(p, file)
                 if p != exec_dir and os.path.isfile(p_to_pf):
                     conflicting_paths.append(p_to_pf)
     if conflicting_paths:
         print_status()
-        print_status(f"** WARNING: Other '{PFS_EXECUTABLE_NAME}/{PFS_EXECUTABLE_NAME}/{PFAZURE_EXECUTABLE_NAME}' "
+        print_status(f"** WARNING: Other '{PF_EXECUTABLE_NAME}/{PFAZURE_EXECUTABLE_NAME}' "
                      f"executables are on your $PATH. **")
         print_status("Conflicting paths: {}".format(', '.join(conflicting_paths)))
         print_status("You can run this installation of the promptflow with '{}'.".format(exec_filepath))
 
 
-def handle_path_and_tab_completion(exec_filepath, exec_dir):
+def handle_path_and_tab_completion(exec_filepath, install_dir):
     ans_yes = prompt_y_n('Modify profile to update your $PATH now?', 'y')
     if ans_yes:
         rc_file_path = get_rc_file_path()
         if not rc_file_path:
             raise CLIInstallError('No suitable profile file found.')
         _backup_rc(rc_file_path)
-        line_to_add = "export PATH=$PATH:{}".format(exec_dir)
+        line_to_add = "export PATH=$PATH:{}".format(os.path.join(install_dir, "bin"))
         _modify_rc(rc_file_path, line_to_add)
-        warn_other_azs_on_path(exec_dir, exec_filepath)
+        warn_other_azs_on_path(install_dir, exec_filepath)
         print_status()
         print_status('** Run `exec -l $SHELL` to restart your shell. **')
         print_status()
@@ -280,59 +225,16 @@ def verify_python_version():
     print_status('Python version {}.{}.{} okay.'.format(v.major, v.minor, v.micro))
 
 
-def _native_dependencies_for_dist(verify_cmd_args, install_cmd_args, dep_list):
-    try:
-        print_status("Executing: '{} {}'".format(' '.join(verify_cmd_args), ' '.join(dep_list)))
-        subprocess.check_output(verify_cmd_args + dep_list, stderr=subprocess.STDOUT)
-        print_status('Native dependencies okay.')
-    except subprocess.CalledProcessError:
-        err_msg = 'One or more of the following native dependencies are not currently installed and may be required.\n'
-        err_msg += '"{}"'.format(' '.join(install_cmd_args + dep_list))
-        print_status(err_msg)
-        ans_yes = prompt_y_n('Missing native dependencies. Attempt to continue anyway?', 'n')
-        if not ans_yes:
-            raise CLIInstallError('Please install the native dependencies and try again.')
-
-
-def _get_linux_distro():
-    if platform.system() != 'Linux':
-        return None, None
-
-    try:
-        with open('/etc/os-release') as lines:
-            tokens = [line.strip() for line in lines]
-    except Exception:
-        return None, None
-
-    release_info = {}
-    for token in tokens:
-        if '=' in token:
-            k, v = token.split('=', 1)
-            release_info[k.lower()] = v.strip('"')
-
-    return release_info.get('name', None), release_info.get('version_id', None)
-
-
-def verify_install_dir_exec_path_conflict(install_dir, exec_dir):
-    for exec_name in [PF_EXECUTABLE_NAME, PFAZURE_EXECUTABLE_NAME, PFS_EXECUTABLE_NAME]:
-        exec_path = os.path.join(exec_dir, exec_name)
-        if install_dir == exec_path:
-            raise CLIInstallError("The executable file '{}' would clash with the install directory of '{}'. Choose "
-                                  "either a different install directory or directory to place the "
-                                  "executable.".format(exec_path, install_dir))
-
-
 def main():
     verify_python_version()
     tmp_dir = create_tmp_dir()
     install_dir = get_install_dir()
-    exec_dir = get_exec_dir()
-    verify_install_dir_exec_path_conflict(install_dir, exec_dir)
     create_virtualenv(install_dir)
     install_cli(install_dir, tmp_dir)
-    exec_filepath = create_executable(exec_dir, install_dir)
+    exec_filepath = [os.path.join(install_dir, "bin", PF_EXECUTABLE_NAME),
+                     os.path.join(install_dir, "bin", PFAZURE_EXECUTABLE_NAME)]
     try:
-        handle_path_and_tab_completion(exec_filepath, exec_dir)
+        handle_path_and_tab_completion(exec_filepath, install_dir)
     except Exception as e:
         print_status("Unable to set up PATH. ERROR: {}".format(str(e)))
     shutil.rmtree(tmp_dir)
@@ -351,10 +253,10 @@ def main():
         sys.exit(1)
 
 # SIG # Begin signature block
-# Z1F07ShfIJ7kejST2NXwW1QcFPEya4xaO2xZz6vLT847zaMzbc/PaEa1RKFlD881
-# 4J+i6Au2wtbHzOXDisyH6WeLQ3gh0X2gxFRa4EzW7Nzjcvwm4+WogiTcnPVVxlk3
-# qafM/oyVqs3695K7W5XttOiq2guv/yedsf/TW2BKSEKruFQh9IwDfIiBoi9Zv3wa
-# iuzQulRR8KyrCtjEPDV0t4WnZVB/edQea6xJZeTlMG+uLR/miBTbPhUb/VZkVjBf
-# qHBv623oLXICzoTNuaPTln9OWvL2NZpisGYvNzebKO7/Ho6AOWZNs5XOVnjs0Ax2
-# aeXvlwBzIQyfyxd25487/Q==
+# Op0/tmmNDX4QgQefj28K91e/ClVKWeYaA1w1kb5Hi8ALJZtmvyhwvxYlCRZ9eWT+
+# wFBfSvpUIzAWYxEMfVqqWy7g9AzqHGa5vE37zQ7uGkIyR0OsmO0bkauOv5FxuCWX
+# U0u9d9sir6sRTb2nrEj2O1EXAcP2xNaW77w1fcOtMX9W6ytHXx/+v5p387+/HBnQ
+# y00GvJrrcIJeRj4MboBdDdv0VgGJAAlTJp0hxO0lt5ZQUMJvi/sM4e1cPUTcx7uB
+# djCmvSZzZrJO2ZIIWiyiP2XNYWJv4A9klJWMbWKukeZOSjxYPS0pO2mTftkKoL5U
+# sOJu9RtRWIIx/kLG/Axliw==
 # SIG # End signature block
diff --git a/scripts/installer/windows/README.md b/scripts/installer/windows/README.md
index 95657c1c821..7a8564bcd3b 100644
--- a/scripts/installer/windows/README.md
+++ b/scripts/installer/windows/README.md
@@ -20,14 +20,16 @@ Trigger the [workflow](https://github.com/microsoft/promptflow/actions/workflows
 5. We recommend creating a clean virtual Python environment and installing all dependencies using src/promptflow/setup.py.
    - `python -m venv venv`
    - `venv\Scripts\activate`
-   - `pip install promptflow[azure,executable] promptflow-tools`
+   - `pip install promptflow[azure,executable,azureml-serving,executor-service] promptflow-tools`
 
 
 ### Building
 1. Update the version number `$(env.CLI_VERSION)` and `$(env.FILE_VERSION)` in `product.wxs`, `promptflow.wixproj` and `version_info.txt`.
-2. `cd scripts/installer/windows/scripts` and run `pyinstaller promptflow.spec`.
-3. `cd scripts/installer/windows` and Run `msbuild /t:rebuild /p:Configuration=Release /p:Platform=x64 promptflow.wixproj`.
-4. The unsigned MSI will be in the `scripts/installer/windows/out` folder.
+2. `cd scripts/installer/windows/scripts` and run `python generate_dependency.py`.
+3. run `pyinstaller promptflow.spec`.
+4. `cd scripts/installer/windows` and Run `msbuild /t:rebuild /p:Configuration=Release /p:Platform=x64 promptflow.wixproj`.
+5. The unsigned MSI will be in the `scripts/installer/windows/out` folder.
 
 ## Notes
-- If you encounter "Access is denied" error when running promptflow. Please follow the [link](https://learn.microsoft.com/en-us/microsoft-365/security/defender-endpoint/attack-surface-reduction-rules-deployment-implement?view=o365-worldwide#customize-attack-surface-reduction-rules) to add the executable to the Windows Defender Attack Surface Reduction (ASR) rule.
\ No newline at end of file
+- If you encounter "Access is denied" error when running promptflow. Please follow the [link](https://learn.microsoft.com/en-us/microsoft-365/security/defender-endpoint/attack-surface-reduction-rules-deployment-implement?view=o365-worldwide#customize-attack-surface-reduction-rules) to add the executable to the Windows Defender Attack Surface Reduction (ASR) rule.
+Or you can add promptflow installation folder to the Windows Defender exclusion list.
\ No newline at end of file
diff --git a/scripts/installer/windows/scripts/generate_dependency.py b/scripts/installer/windows/scripts/generate_dependency.py
new file mode 100644
index 00000000000..fd365df7e4c
--- /dev/null
+++ b/scripts/installer/windows/scripts/generate_dependency.py
@@ -0,0 +1,136 @@
+import ast
+import re
+import subprocess
+import copy
+from pip._vendor import tomli as toml
+from pathlib import Path
+from promptflow._sdk._utils import render_jinja_template
+
+
+def get_git_base_dir():
+    return Path(
+        subprocess.run(['git', 'rev-parse', '--show-toplevel'], stdout=subprocess.PIPE)
+        .stdout.decode('utf-8').strip())
+
+
+def is_tool(name):
+    """Check whether `name` is on PATH and marked as executable."""
+
+    # from whichcraft import which
+    from shutil import which
+
+    return which(name) is not None
+
+
+def extract_requirements(file_path):
+    with open(file_path, 'r') as file:
+        tree = ast.parse(file.read())
+
+    install_requires = []
+    extras_requires = {}
+    for node in ast.walk(tree):
+        if isinstance(node, ast.Assign) and node.targets[0].id == 'REQUIRES':
+            install_requires = [elt.s for elt in node.value.elts]
+        elif isinstance(node, ast.Call) and getattr(node.func, 'id', None) == 'setup':
+            for keyword in node.keywords:
+                if keyword.arg == 'extras_require':
+                    extras_requires = ast.literal_eval(keyword.value)
+    return install_requires, extras_requires
+
+
+def extract_package_names(packages):
+    package_names = []
+    for package in packages:
+        match = re.match(r'^([a-zA-Z0-9-_.]+)', package)
+        if match:
+            package_names.append(match.group(1))
+    return package_names
+
+
+def get_toml_dependencies(packages):
+    file_list = ["promptflow-tracing", "promptflow-core", "promptflow-devkit", "promptflow-azure"]
+    dependencies = []
+
+    for package in packages:
+        if package in file_list:
+            with open(get_git_base_dir() / "src" / package / "pyproject.toml", 'rb') as file:
+                data = toml.load(file)
+            extra_package_names = data.get('tool', {}).get('poetry', {}).get('dependencies', {})
+            dependencies.extend(extra_package_names.keys())
+    dependencies = [dependency for dependency in dependencies
+                    if not dependency.startswith('promptflow') and not dependency == 'python']
+    return dependencies
+
+
+def get_package_dependencies(package_name_list):
+    dependencies = []
+    for package_name in package_name_list:
+        if (is_tool('conda')):
+            result = subprocess.run('conda activate root | pip show {}'.format(package_name),
+                                    shell=True, stdout=subprocess.PIPE)
+        else:
+            result = subprocess.run(['pip', 'show', package_name], stdout=subprocess.PIPE)
+        print("---" + package_name)
+        print(result.stdout)
+        lines = result.stdout.decode('utf-8', errors="ignore").splitlines()
+        for line in lines:
+            if line.startswith('Requires'):
+                dependency = line.split(': ')[1].split(', ')
+                if dependency != ['']:
+                    dependencies.extend(dependency)
+                break
+
+    dependencies = [dependency for dependency in dependencies if not dependency.startswith('promptflow')]
+    return dependencies
+
+
+if __name__ == '__main__':
+    dependencies = []
+    install_requires, extras_requires = extract_requirements(get_git_base_dir() / 'src/promptflow/setup.py')
+    install_requires_names = extract_package_names(install_requires)
+    dependencies.extend(install_requires_names)
+
+    for key in extras_requires:
+        extras_require_names = extract_package_names(extras_requires[key])
+        dependencies.extend(extras_require_names)
+    # get toml dependencies
+    dependencies = list(set(dependencies))
+    direct_package_dependencies = get_toml_dependencies(dependencies)
+
+    # get one step furture for dependencies
+    dependencies = list(set(direct_package_dependencies))
+    direct_package_dependencies = get_package_dependencies(dependencies)
+
+    # get all dependencies
+    all_packages = list(set(dependencies) | set(direct_package_dependencies))
+
+    # remove all packages starting with promptflow
+    all_packages = [package for package in all_packages if not package.startswith('promptflow')]
+
+    hidden_imports = copy.deepcopy(all_packages)
+    meta_packages = copy.deepcopy(all_packages)
+
+    special_packages = ["streamlit-quill", "flask-cors", "flask-restx"]
+    for i in range(len(hidden_imports)):
+        # need special handeling because it use _ to import
+        if hidden_imports[i] in special_packages:
+            hidden_imports[i] = hidden_imports[i].replace('-', '_').lower()
+        else:
+            hidden_imports[i] = hidden_imports[i].replace('-', '.').lower()
+
+    hidden_imports.remove("azure.storage.file.share")
+    hidden_imports.append("azure.storage.fileshare")
+    hidden_imports.remove("azure.storage.file.datalake")
+    hidden_imports.append("azure.storage.filedatalake")
+
+    render_context = {
+        "hidden_imports": hidden_imports,
+        "all_packages": all_packages,
+        "meta_packages": meta_packages,
+    }
+    # always use unix line ending
+    Path("./promptflow.spec").write_bytes(
+        render_jinja_template(
+            get_git_base_dir() / "scripts/installer/windows/scripts/promptflow.spec.jinja2", **render_context)
+        .encode("utf-8")
+        .replace(b"\r\n", b"\n"),)
diff --git a/scripts/installer/windows/scripts/pf.bat b/scripts/installer/windows/scripts/pf.bat
index 549ba723590..b4319cce62d 100644
--- a/scripts/installer/windows/scripts/pf.bat
+++ b/scripts/installer/windows/scripts/pf.bat
@@ -3,4 +3,17 @@ setlocal
 
 SET PF_INSTALLER=MSI
 set MAIN_EXE=%~dp0.\pfcli.exe
-"%MAIN_EXE%" pf %*
\ No newline at end of file
+REM Check if the first argument is 'start'
+if "%~1"=="service" (
+    REM Check if the second argument is 'start'
+    if "%~2"=="start" (
+        cscript //nologo %~dp0.\start_pfs.vbs """%MAIN_EXE%"" pf %*"
+        REM since we won't wait for vbs to finish, we need to wait for the output file to be flushed to disk
+        timeout /t 5 >nul
+        type "%~dp0output.txt"
+    ) else (
+        "%MAIN_EXE%" pf %*
+    )
+) else (
+    "%MAIN_EXE%" pf %*
+)
\ No newline at end of file
diff --git a/scripts/installer/windows/scripts/pfcli.py b/scripts/installer/windows/scripts/pfcli.py
index e5a71768290..6ced55dd24e 100644
--- a/scripts/installer/windows/scripts/pfcli.py
+++ b/scripts/installer/windows/scripts/pfcli.py
@@ -11,13 +11,7 @@
         from promptflow._cli._pf.entry import main as pf_main
         pf_main()
     elif command == 'pfazure':
-        from promptflow._cli._pf_azure.entry import main as pfazure_main
+        from promptflow.azure._cli.entry import main as pfazure_main
         pfazure_main()
-    elif command == 'pfs':
-        from promptflow._sdk._service.entry import main as pfs_main
-        pfs_main()
-    elif command == 'pfsvc':
-        from promptflow._sdk._service.pfsvc import init as pfsvc_init
-        pfsvc_init()
     else:
-        print(f"Invalid command {sys.argv}. Please use 'pf', 'pfazure', 'pfs' or 'pfsvc'.")
+        print(f"Invalid command {sys.argv}. Please use 'pf', 'pfazure'.")
diff --git a/scripts/installer/windows/scripts/pfs.bat b/scripts/installer/windows/scripts/pfs.bat
deleted file mode 100644
index 9f402a1640c..00000000000
--- a/scripts/installer/windows/scripts/pfs.bat
+++ /dev/null
@@ -1,5 +0,0 @@
-@echo off
-setlocal
-
-set MAIN_EXE=%~dp0.\pfcli.exe
-"%MAIN_EXE%" pfs %*
\ No newline at end of file
diff --git a/scripts/installer/windows/scripts/pfsvc.bat b/scripts/installer/windows/scripts/pfsvc.bat
deleted file mode 100644
index 957ae245cb7..00000000000
--- a/scripts/installer/windows/scripts/pfsvc.bat
+++ /dev/null
@@ -1,5 +0,0 @@
-@echo off
-setlocal
-
-set MAIN_EXE=%~dp0.\pfcli.exe
-"%MAIN_EXE%" pfsvc %*
\ No newline at end of file
diff --git a/scripts/installer/windows/scripts/promptflow.spec b/scripts/installer/windows/scripts/promptflow.spec.jinja2
similarity index 58%
rename from scripts/installer/windows/scripts/promptflow.spec
rename to scripts/installer/windows/scripts/promptflow.spec.jinja2
index a1f3955be85..64c591fbe10 100644
--- a/scripts/installer/windows/scripts/promptflow.spec
+++ b/scripts/installer/windows/scripts/promptflow.spec.jinja2
@@ -1,25 +1,38 @@
 # -*- mode: python ; coding: utf-8 -*-
-from PyInstaller.utils.hooks import collect_data_files
-from PyInstaller.utils.hooks import copy_metadata
+from PyInstaller.utils.hooks import collect_data_files, collect_all, copy_metadata
 
 datas = [('../resources/CLI_LICENSE.rtf', '.'), ('../../../../src/promptflow/NOTICE.txt', '.'),
-('../../../../src/promptflow/promptflow/_sdk/data/executable/', './promptflow/_sdk/data/executable/'),
+('../../../../src/promptflow-devkit/promptflow/_sdk/data/executable/', './promptflow/_sdk/data/executable/'),
 ('../../../../src/promptflow-tools/promptflow/tools/', './promptflow/tools/'),
-('./pf.bat', '.'), ('./pfs.bat', '.'), ('./pfazure.bat', '.'), ('./pfsvc.bat', '.')]
+('./pf.bat', '.'), ('./pfazure.bat', '.'), ('./start_pfs.vbs', '.')]
 
-datas += collect_data_files('streamlit')
-datas += copy_metadata('streamlit')
+
+all_packages = {{all_packages}}
+meta_packages = {{meta_packages}}
+
+for package in all_packages:
+    datas += collect_data_files(package)
+
+for package in meta_packages:
+    datas += copy_metadata(package)
+
+opentelemetry_datas, opentelemetry_binaries, opentelemetry_hiddenimports = collect_all('opentelemetry')
+datas += opentelemetry_datas
 datas += collect_data_files('streamlit_quill')
 datas += collect_data_files('promptflow')
-datas += copy_metadata('opentelemetry-sdk')
-hidden_imports = ['streamlit.runtime.scriptrunner.magic_funcs', 'win32timezone', 'promptflow', 'opentelemetry.exporter.otlp.proto.http']
+datas += copy_metadata('promptflow')
+hidden_imports = ['win32timezone', 'promptflow', 'opentelemetry.context.contextvars_context', 'streamlit.runtime.scriptrunner.magic_funcs'] + {{hidden_imports}}
+
+hidden_imports += opentelemetry_hiddenimports
+binaries = []
+binaries += opentelemetry_binaries
 
 block_cipher = None
 
 pfcli_a = Analysis(
     ['pfcli.py'],
     pathex=[],
-    binaries=[],
+    binaries=binaries,
     datas=datas,
     hiddenimports=hidden_imports,
     hookspath=[],
@@ -62,4 +75,4 @@ coll = COLLECT(
     upx=True,
     upx_exclude=[],
     name='promptflow',
-)
+)
\ No newline at end of file
diff --git a/scripts/installer/windows/scripts/promptflow_service.vbs b/scripts/installer/windows/scripts/promptflow_service.vbs
index 4fea58c1743..0d01c144ffa 100644
--- a/scripts/installer/windows/scripts/promptflow_service.vbs
+++ b/scripts/installer/windows/scripts/promptflow_service.vbs
@@ -1,3 +1,3 @@
 DIM objshell
 set objshell = wscript.createobject("wscript.shell")
-iReturn = objshell.run("pfs.bat start --force", 0, true)
\ No newline at end of file
+iReturn = objshell.run("pfcli.exe pf service start --force", 0, true)
\ No newline at end of file
diff --git a/scripts/installer/windows/scripts/start_pfs.vbs b/scripts/installer/windows/scripts/start_pfs.vbs
new file mode 100644
index 00000000000..8b75eb91d1f
--- /dev/null
+++ b/scripts/installer/windows/scripts/start_pfs.vbs
@@ -0,0 +1,4 @@
+DIM objshell
+set objshell = wscript.createobject("wscript.shell")
+cmd = WScript.Arguments(0)
+iReturn = objshell.run(cmd, 0, false)
\ No newline at end of file
diff --git a/scripts/readme/schema_checker.py b/scripts/readme/schema_checker.py
index 16d7d32256d..c2fcc93e966 100644
--- a/scripts/readme/schema_checker.py
+++ b/scripts/readme/schema_checker.py
@@ -30,7 +30,17 @@ def main(input_glob_flow_dag):
         if error is False:
             new_links = []
             if (Path(file).parent / "requirements.txt").exists():
+                # remove all promptflow lines in requirements.txt
+                # and save time, or else it will check all dependencies of promptflow time by time
+                with open(Path(file).parent / "requirements.txt", "r") as f:
+                    lines = f.readlines()
+                with open(Path(file).parent / "requirements.txt", "w") as f:
+                    for line in lines:
+                        if "promptflow" not in line:
+                            f.write(line)
+
                 install(Path(file).parent / "requirements.txt")
+
             if "flow-with-symlinks" in str(file):
                 saved_path = os.getcwd()
                 os.chdir(str(file.parent))
diff --git a/scripts/readme/workflow_generator.py b/scripts/readme/workflow_generator.py
index 3e79887b2f6..86e2217c86b 100644
--- a/scripts/readme/workflow_generator.py
+++ b/scripts/readme/workflow_generator.py
@@ -72,7 +72,7 @@ def write_notebook_workflow(notebook, name, output_telemetry=Telemetry()):
     # these workflows require config.json to init PF/ML client
     workflows_require_config_json = [
         "configuration",
-        "flowinpipeline",
+        "runflowwithpipeline",
         "quickstartazure",
         "cloudrunmanagement",
     ]
diff --git a/setup.cfg b/setup.cfg
index 74a0db43987..a35c3e642ab 100644
--- a/setup.cfg
+++ b/setup.cfg
@@ -11,8 +11,9 @@ exclude =
     docs/*
     venv,.pytest_cache
     build
-    src/promptflow/promptflow/azure/_restclient
-    src/promptflow/promptflow/azure/_models
+    src/promptflow-azure/promptflow/azure/_restclient
+    src/promptflow-azure/promptflow/azure/_models
+    src/promptflow-core/promptflow/core/_connection_provider/_models
     src/promptflow/tests/test_configs/*
 import-order-style = google
 
@@ -50,4 +51,4 @@ skip_glob = [
         samples/**,
     ]
 known_third_party = azure,mock,numpy,pandas,pydash,pytest,pytest_mock,requests,setuptools,six,sklearn,tqdm,urllib3,utilities,utils,yaml,jsonschema,strictyaml,jwt,pathspec,isodate,docker
-known_first_party = promptflow,promptflow_test
+known_first_party = promptflow
diff --git a/src/promptflow-azure/README.md b/src/promptflow-azure/README.md
new file mode 100644
index 00000000000..f76d9f22350
--- /dev/null
+++ b/src/promptflow-azure/README.md
@@ -0,0 +1,24 @@
+# Prompt flow azure
+
+[![Python package](https://img.shields.io/pypi/v/promptflow-azure)](https://pypi.org/project/promptflow-azure/)
+[![Python](https://img.shields.io/pypi/pyversions/promptflow.svg?maxAge=2592000)](https://pypi.python.org/pypi/promptflow-azure/)
+[![PyPI - Downloads](https://img.shields.io/pypi/dm/promptflow-azure)](https://pypi.org/project/promptflow-azure/)
+[![CLI](https://img.shields.io/badge/CLI-reference-blue)](https://microsoft.github.io/promptflow/reference/pfazure-command-reference.html)
+[![SDK](https://img.shields.io/badge/SDK-reference-blue)](https://microsoft.github.io/promptflow/reference/python-library-reference/promptflow-azure/promptflow.azure.html)
+
+## Introduction
+
+Azure Machine Learning prompt flow is a development tool designed to streamline the entire development cycle of AI applications powered by Large Language Models (LLMs). As the momentum for LLM-based AI applications continues to grow across the globe, Azure Machine Learning prompt flow provides a comprehensive solution that simplifies the process of prototyping, experimenting, iterating, and deploying your AI applications.
+
+The `promptflow-azure` package help user to leverage the cloud version of [prompt flow in Azure AI](https://learn.microsoft.com/en-us/azure/machine-learning/prompt-flow/overview-what-is-prompt-flow?view=azureml-api-2), which provides below features:
+
+- Create executable flows that link LLMs, prompts, and Python tools through a visualized graph or flex flow code.
+- Debug, share, and iterate your flows with ease through team collaboration.
+- Evaluate their performance through large-scale batch run.
+
+
+# Release History
+
+## 0.1.0b1 (Upcoming)
+
+- Stub version in PyPI.
diff --git a/src/promptflow/promptflow/azure/__init__.py b/src/promptflow-azure/promptflow/azure/__init__.py
similarity index 100%
rename from src/promptflow/promptflow/azure/__init__.py
rename to src/promptflow-azure/promptflow/azure/__init__.py
diff --git a/src/promptflow/promptflow/_cli/__init__.py b/src/promptflow-azure/promptflow/azure/_cli/__init__.py
similarity index 100%
rename from src/promptflow/promptflow/_cli/__init__.py
rename to src/promptflow-azure/promptflow/azure/_cli/__init__.py
diff --git a/src/promptflow/promptflow/_cli/_pf_azure/_connection.py b/src/promptflow-azure/promptflow/azure/_cli/_connection.py
similarity index 100%
rename from src/promptflow/promptflow/_cli/_pf_azure/_connection.py
rename to src/promptflow-azure/promptflow/azure/_cli/_connection.py
diff --git a/src/promptflow/promptflow/_cli/_pf_azure/_flow.py b/src/promptflow-azure/promptflow/azure/_cli/_flow.py
similarity index 99%
rename from src/promptflow/promptflow/_cli/_pf_azure/_flow.py
rename to src/promptflow-azure/promptflow/azure/_cli/_flow.py
index 563e2d8567b..b339b2daa5e 100644
--- a/src/promptflow/promptflow/_cli/_pf_azure/_flow.py
+++ b/src/promptflow-azure/promptflow/azure/_cli/_flow.py
@@ -16,13 +16,13 @@
     add_param_set,
     base_params,
 )
-from promptflow._cli._pf_azure._utils import _get_azure_pf_client
 from promptflow._cli._utils import (
     _output_result_list_with_format,
     _set_workspace_argument_for_subparsers,
     activate_action,
 )
 from promptflow._sdk._constants import AzureFlowSource, get_list_view_type
+from promptflow.azure._cli._utils import _get_azure_pf_client
 from promptflow.azure._entities._flow import Flow
 
 
diff --git a/src/promptflow/promptflow/_cli/_pf_azure/_run.py b/src/promptflow-azure/promptflow/azure/_cli/_run.py
similarity index 99%
rename from src/promptflow/promptflow/_cli/_pf_azure/_run.py
rename to src/promptflow-azure/promptflow/azure/_cli/_run.py
index f4df8553a1e..198c183b816 100644
--- a/src/promptflow/promptflow/_cli/_pf_azure/_run.py
+++ b/src/promptflow-azure/promptflow/azure/_cli/_run.py
@@ -20,7 +20,6 @@
     base_params,
 )
 from promptflow._cli._pf._run import _parse_metadata_args, add_run_create_common, create_run
-from promptflow._cli._pf_azure._utils import _get_azure_pf_client
 from promptflow._cli._utils import (
     _output_result_list_with_format,
     _set_workspace_argument_for_subparsers,
@@ -30,6 +29,7 @@
 from promptflow._sdk._constants import MAX_SHOW_DETAILS_RESULTS, ListViewType
 from promptflow._sdk._errors import InvalidRunStatusError
 from promptflow._sdk._utils import print_red_error
+from promptflow.azure._cli._utils import _get_azure_pf_client
 from promptflow.azure._restclient.flow_service_caller import FlowRequestException
 
 
diff --git a/src/promptflow/promptflow/_cli/_pf_azure/_utils.py b/src/promptflow-azure/promptflow/azure/_cli/_utils.py
similarity index 100%
rename from src/promptflow/promptflow/_cli/_pf_azure/_utils.py
rename to src/promptflow-azure/promptflow/azure/_cli/_utils.py
diff --git a/src/promptflow/promptflow/_cli/_pf_azure/entry.py b/src/promptflow-azure/promptflow/azure/_cli/entry.py
similarity index 90%
rename from src/promptflow/promptflow/_cli/_pf_azure/entry.py
rename to src/promptflow-azure/promptflow/azure/_cli/entry.py
index bb15ec9972d..14113c8d06b 100644
--- a/src/promptflow/promptflow/_cli/_pf_azure/entry.py
+++ b/src/promptflow-azure/promptflow/azure/_cli/entry.py
@@ -7,7 +7,7 @@
 
 from promptflow._cli._pf.help import show_privacy_statement, show_welcome_message
 from promptflow._cli._user_agent import USER_AGENT
-from promptflow._cli._utils import _get_cli_activity_name, get_client_info_for_cli, cli_exception_and_telemetry_handler
+from promptflow._cli._utils import _get_cli_activity_name, cli_exception_and_telemetry_handler, get_client_info_for_cli
 
 # Log the start time
 start_time = time.perf_counter()
@@ -17,14 +17,11 @@
 import logging  # noqa: E402
 import sys  # noqa: E402
 
-from promptflow._cli._pf_azure._flow import add_parser_flow, dispatch_flow_commands  # noqa: E402
-from promptflow._cli._pf_azure._run import add_parser_run, dispatch_run_commands  # noqa: E402
-from promptflow._sdk._utils import (  # noqa: E402
-    get_promptflow_sdk_version,
-    print_pf_version,
-    setup_user_agent_to_operation_context,
-)
+from promptflow._sdk._utils import get_promptflow_sdk_version, print_pf_version  # noqa: E402
 from promptflow._utils.logger_utils import get_cli_sdk_logger  # noqa: E402
+from promptflow._utils.user_agent_utils import setup_user_agent_to_operation_context  # noqa: E402
+from promptflow.azure._cli._flow import add_parser_flow, dispatch_flow_commands  # noqa: E402
+from promptflow.azure._cli._run import add_parser_run, dispatch_run_commands  # noqa: E402
 
 # get logger for CLI
 logger = get_cli_sdk_logger()
diff --git a/src/promptflow/promptflow/azure/_constants/__init__.py b/src/promptflow-azure/promptflow/azure/_constants/__init__.py
similarity index 100%
rename from src/promptflow/promptflow/azure/_constants/__init__.py
rename to src/promptflow-azure/promptflow/azure/_constants/__init__.py
diff --git a/src/promptflow/promptflow/azure/_constants/_component.py b/src/promptflow-azure/promptflow/azure/_constants/_component.py
similarity index 100%
rename from src/promptflow/promptflow/azure/_constants/_component.py
rename to src/promptflow-azure/promptflow/azure/_constants/_component.py
diff --git a/src/promptflow/promptflow/azure/_constants/_flow.py b/src/promptflow-azure/promptflow/azure/_constants/_flow.py
similarity index 100%
rename from src/promptflow/promptflow/azure/_constants/_flow.py
rename to src/promptflow-azure/promptflow/azure/_constants/_flow.py
diff --git a/src/promptflow/promptflow/_cli/_pf/__init__.py b/src/promptflow-azure/promptflow/azure/_entities/__init__.py
similarity index 100%
rename from src/promptflow/promptflow/_cli/_pf/__init__.py
rename to src/promptflow-azure/promptflow/azure/_entities/__init__.py
diff --git a/src/promptflow/promptflow/azure/_entities/_flow.py b/src/promptflow-azure/promptflow/azure/_entities/_flow.py
similarity index 97%
rename from src/promptflow/promptflow/azure/_entities/_flow.py
rename to src/promptflow-azure/promptflow/azure/_entities/_flow.py
index 5e5daf21ea2..c18a7815640 100644
--- a/src/promptflow/promptflow/azure/_entities/_flow.py
+++ b/src/promptflow-azure/promptflow/azure/_entities/_flow.py
@@ -10,13 +10,13 @@
 
 import pydash
 
+from promptflow._constants import FlowLanguage
 from promptflow._sdk._constants import DAG_FILE_NAME, SERVICE_FLOW_TYPE_2_CLIENT_FLOW_TYPE, AzureFlowSource, FlowType
+from promptflow._sdk._utils import PromptflowIgnoreFile, load_yaml, remove_empty_element_from_dict
+from promptflow._utils.flow_utils import dump_flow_dag, load_flow_dag
+from promptflow._utils.logger_utils import LoggerFactory
 from promptflow.azure._ml import AdditionalIncludesMixin, Code
 
-from ..._constants import FlowLanguage
-from ..._sdk._utils import PromptflowIgnoreFile, load_yaml, remove_empty_element_from_dict
-from ..._utils.flow_utils import dump_flow_dag, load_flow_dag
-from ..._utils.logger_utils import LoggerFactory
 from .._constants._flow import ADDITIONAL_INCLUDES, DEFAULT_STORAGE, ENVIRONMENT, PYTHON_REQUIREMENTS_TXT
 from .._restclient.flow.models import FlowDto
 
diff --git a/src/promptflow/promptflow/azure/_entities/_workspace_connection_spec.py b/src/promptflow-azure/promptflow/azure/_entities/_workspace_connection_spec.py
similarity index 100%
rename from src/promptflow/promptflow/azure/_entities/_workspace_connection_spec.py
rename to src/promptflow-azure/promptflow/azure/_entities/_workspace_connection_spec.py
diff --git a/src/promptflow/promptflow/azure/_load_functions.py b/src/promptflow-azure/promptflow/azure/_load_functions.py
similarity index 100%
rename from src/promptflow/promptflow/azure/_load_functions.py
rename to src/promptflow-azure/promptflow/azure/_load_functions.py
diff --git a/src/promptflow/promptflow/azure/_ml/__init__.py b/src/promptflow-azure/promptflow/azure/_ml/__init__.py
similarity index 100%
rename from src/promptflow/promptflow/azure/_ml/__init__.py
rename to src/promptflow-azure/promptflow/azure/_ml/__init__.py
diff --git a/src/promptflow/promptflow/azure/_pf_client.py b/src/promptflow-azure/promptflow/azure/_pf_client.py
similarity index 92%
rename from src/promptflow/promptflow/azure/_pf_client.py
rename to src/promptflow-azure/promptflow/azure/_pf_client.py
index cc0a22c431f..a81c370015f 100644
--- a/src/promptflow/promptflow/azure/_pf_client.py
+++ b/src/promptflow-azure/promptflow/azure/_pf_client.py
@@ -11,8 +11,9 @@
 from promptflow._sdk._constants import MAX_SHOW_DETAILS_RESULTS
 from promptflow._sdk._errors import RunOperationParameterError
 from promptflow._sdk._user_agent import USER_AGENT
-from promptflow._sdk._utils import ClientUserAgentUtil, setup_user_agent_to_operation_context
+from promptflow._sdk._utils import generate_yaml_entry
 from promptflow._sdk.entities import Run
+from promptflow._utils.user_agent_utils import ClientUserAgentUtil, setup_user_agent_to_operation_context
 from promptflow.azure._restclient.service_caller_factory import _FlowServiceCallerFactory
 from promptflow.azure.operations import RunOperations
 from promptflow.azure.operations._arm_connection_operations import ArmConnectionOperations
@@ -196,6 +197,8 @@ def run(
         display_name: str = None,
         tags: Dict[str, str] = None,
         resume_from: Union[str, Run] = None,
+        code: Union[str, PathLike] = None,
+        init: Optional[dict] = None,
         **kwargs,
     ) -> Run:
         """Run flow against provided data or run.
@@ -251,9 +254,16 @@ def run(
         :type tags: Dict[str, str]
         :param resume_from: Create run resume from an existing run.
         :type resume_from: str
+        :param code: Path to the code directory to run.
+        :type code: Union[str, PathLike]
+        :param init: Initialization parameters for flex flow, only supported when flow is callable class.
+        :type init: dict
         :return: flow run info.
         :rtype: ~promptflow.entities.Run
         """
+        # TODO(3047273): support cloud run init
+        if init:
+            raise NotImplementedError("init is not supported for pfazure.")
         if resume_from:
             unsupported = {
                 k: v
@@ -276,20 +286,22 @@ def run(
             return self.runs._create_by_resume_from(
                 resume_from=resume_from, name=name, display_name=display_name, tags=tags, **kwargs
             )
-        # TODO(2887134): support cloud eager Run CRUD
-        run = Run(
-            name=name,
-            display_name=display_name,
-            tags=tags,
-            data=data,
-            column_mapping=column_mapping,
-            run=run,
-            variant=variant,
-            flow=flow,
-            connections=connections,
-            environment_variables=environment_variables,
-        )
-        return self.runs.create_or_update(run=run, **kwargs)
+        if callable(flow):
+            raise UserErrorException(f"Providing callable {flow} as flow is not supported.")
+        with generate_yaml_entry(entry=flow, code=code) as flow:
+            run = Run(
+                name=name,
+                display_name=display_name,
+                tags=tags,
+                data=data,
+                column_mapping=column_mapping,
+                run=run,
+                variant=variant,
+                flow=flow,
+                connections=connections,
+                environment_variables=environment_variables,
+            )
+            return self.runs.create_or_update(run=run, **kwargs)
 
     def stream(self, run: Union[str, Run], raise_on_error: bool = True) -> Run:
         """Stream run logs to the console.
diff --git a/src/promptflow/promptflow/azure/_restclient/README.md b/src/promptflow-azure/promptflow/azure/_restclient/README.md
similarity index 96%
rename from src/promptflow/promptflow/azure/_restclient/README.md
rename to src/promptflow-azure/promptflow/azure/_restclient/README.md
index cbb1b00ff8d..9a4b0eeec55 100644
--- a/src/promptflow/promptflow/azure/_restclient/README.md
+++ b/src/promptflow-azure/promptflow/azure/_restclient/README.md
@@ -22,6 +22,7 @@ Download swagger.json from [here](https://int.api.azureml-test.ms/flow/swagger/v
 - 2024.2.2 - [Support specify compute instance as session compute](https://github.com/microsoft/promptflow/pull/1925)
 - 2024.2.5 - [Support retrieve Cosmos token](https://github.com/microsoft/promptflow/pull/1972)
 - 2024.2.19 - [Update SDK restclient](https://github.com/microsoft/promptflow/pull/2165)
+- 2024.3.14 - [Add enable_multi_container](https://github.com/microsoft/promptflow/pull/2313)
 
 ## Troubleshooting
 
diff --git a/src/promptflow/promptflow/_core/__init__.py b/src/promptflow-azure/promptflow/azure/_restclient/__init__.py
similarity index 100%
rename from src/promptflow/promptflow/_core/__init__.py
rename to src/promptflow-azure/promptflow/azure/_restclient/__init__.py
diff --git a/src/promptflow/promptflow/azure/_restclient/flow/__init__.py b/src/promptflow-azure/promptflow/azure/_restclient/flow/__init__.py
similarity index 100%
rename from src/promptflow/promptflow/azure/_restclient/flow/__init__.py
rename to src/promptflow-azure/promptflow/azure/_restclient/flow/__init__.py
diff --git a/src/promptflow/promptflow/azure/_restclient/flow/_azure_machine_learning_designer_service_client.py b/src/promptflow-azure/promptflow/azure/_restclient/flow/_azure_machine_learning_designer_service_client.py
similarity index 88%
rename from src/promptflow/promptflow/azure/_restclient/flow/_azure_machine_learning_designer_service_client.py
rename to src/promptflow-azure/promptflow/azure/_restclient/flow/_azure_machine_learning_designer_service_client.py
index 9911fa57f17..4278f9314e6 100644
--- a/src/promptflow/promptflow/azure/_restclient/flow/_azure_machine_learning_designer_service_client.py
+++ b/src/promptflow-azure/promptflow/azure/_restclient/flow/_azure_machine_learning_designer_service_client.py
@@ -12,7 +12,7 @@
 
 from . import models
 from ._configuration import AzureMachineLearningDesignerServiceClientConfiguration
-from .operations import BulkRunsOperations, ConnectionOperations, ConnectionsOperations, FlowRuntimesOperations, FlowRuntimesWorkspaceIndependentOperations, FlowSessionsOperations, FlowsOperations, FlowsProviderOperations, ToolsOperations, TraceSessionsOperations
+from .operations import BulkRunsOperations, ConnectionOperations, ConnectionsOperations, ExperimentTemplatesOperations, ExperimentsOperations, FlowRuntimesOperations, FlowRuntimesWorkspaceIndependentOperations, FlowSessionsOperations, FlowsOperations, FlowsProviderOperations, ToolsOperations, TraceSessionsOperations
 
 if TYPE_CHECKING:
     # pylint: disable=unused-import,ungrouped-imports
@@ -29,6 +29,10 @@ class AzureMachineLearningDesignerServiceClient(object):
     :vartype connection: flow.operations.ConnectionOperations
     :ivar connections: ConnectionsOperations operations
     :vartype connections: flow.operations.ConnectionsOperations
+    :ivar experiments: ExperimentsOperations operations
+    :vartype experiments: flow.operations.ExperimentsOperations
+    :ivar experiment_templates: ExperimentTemplatesOperations operations
+    :vartype experiment_templates: flow.operations.ExperimentTemplatesOperations
     :ivar flow_runtimes: FlowRuntimesOperations operations
     :vartype flow_runtimes: flow.operations.FlowRuntimesOperations
     :ivar flow_runtimes_workspace_independent: FlowRuntimesWorkspaceIndependentOperations
@@ -68,6 +72,8 @@ def __init__(
         self.bulk_runs = BulkRunsOperations(self._client, self._config, self._serialize, self._deserialize)
         self.connection = ConnectionOperations(self._client, self._config, self._serialize, self._deserialize)
         self.connections = ConnectionsOperations(self._client, self._config, self._serialize, self._deserialize)
+        self.experiments = ExperimentsOperations(self._client, self._config, self._serialize, self._deserialize)
+        self.experiment_templates = ExperimentTemplatesOperations(self._client, self._config, self._serialize, self._deserialize)
         self.flow_runtimes = FlowRuntimesOperations(self._client, self._config, self._serialize, self._deserialize)
         self.flow_runtimes_workspace_independent = FlowRuntimesWorkspaceIndependentOperations(self._client, self._config, self._serialize, self._deserialize)
         self.flows = FlowsOperations(self._client, self._config, self._serialize, self._deserialize)
diff --git a/src/promptflow/promptflow/azure/_restclient/flow/_configuration.py b/src/promptflow-azure/promptflow/azure/_restclient/flow/_configuration.py
similarity index 100%
rename from src/promptflow/promptflow/azure/_restclient/flow/_configuration.py
rename to src/promptflow-azure/promptflow/azure/_restclient/flow/_configuration.py
diff --git a/src/promptflow/promptflow/azure/_restclient/flow/_patch.py b/src/promptflow-azure/promptflow/azure/_restclient/flow/_patch.py
similarity index 100%
rename from src/promptflow/promptflow/azure/_restclient/flow/_patch.py
rename to src/promptflow-azure/promptflow/azure/_restclient/flow/_patch.py
diff --git a/src/promptflow/promptflow/azure/_restclient/flow/_vendor.py b/src/promptflow-azure/promptflow/azure/_restclient/flow/_vendor.py
similarity index 100%
rename from src/promptflow/promptflow/azure/_restclient/flow/_vendor.py
rename to src/promptflow-azure/promptflow/azure/_restclient/flow/_vendor.py
diff --git a/src/promptflow/promptflow/azure/_restclient/flow/aio/__init__.py b/src/promptflow-azure/promptflow/azure/_restclient/flow/aio/__init__.py
similarity index 100%
rename from src/promptflow/promptflow/azure/_restclient/flow/aio/__init__.py
rename to src/promptflow-azure/promptflow/azure/_restclient/flow/aio/__init__.py
diff --git a/src/promptflow/promptflow/azure/_restclient/flow/aio/_azure_machine_learning_designer_service_client.py b/src/promptflow-azure/promptflow/azure/_restclient/flow/aio/_azure_machine_learning_designer_service_client.py
similarity index 87%
rename from src/promptflow/promptflow/azure/_restclient/flow/aio/_azure_machine_learning_designer_service_client.py
rename to src/promptflow-azure/promptflow/azure/_restclient/flow/aio/_azure_machine_learning_designer_service_client.py
index 4066ccb21c3..e9f3a30193c 100644
--- a/src/promptflow/promptflow/azure/_restclient/flow/aio/_azure_machine_learning_designer_service_client.py
+++ b/src/promptflow-azure/promptflow/azure/_restclient/flow/aio/_azure_machine_learning_designer_service_client.py
@@ -13,7 +13,7 @@
 
 from .. import models
 from ._configuration import AzureMachineLearningDesignerServiceClientConfiguration
-from .operations import BulkRunsOperations, ConnectionOperations, ConnectionsOperations, FlowRuntimesOperations, FlowRuntimesWorkspaceIndependentOperations, FlowSessionsOperations, FlowsOperations, FlowsProviderOperations, ToolsOperations, TraceSessionsOperations
+from .operations import BulkRunsOperations, ConnectionOperations, ConnectionsOperations, ExperimentTemplatesOperations, ExperimentsOperations, FlowRuntimesOperations, FlowRuntimesWorkspaceIndependentOperations, FlowSessionsOperations, FlowsOperations, FlowsProviderOperations, ToolsOperations, TraceSessionsOperations
 
 class AzureMachineLearningDesignerServiceClient:
     """AzureMachineLearningDesignerServiceClient.
@@ -24,6 +24,10 @@ class AzureMachineLearningDesignerServiceClient:
     :vartype connection: flow.aio.operations.ConnectionOperations
     :ivar connections: ConnectionsOperations operations
     :vartype connections: flow.aio.operations.ConnectionsOperations
+    :ivar experiments: ExperimentsOperations operations
+    :vartype experiments: flow.aio.operations.ExperimentsOperations
+    :ivar experiment_templates: ExperimentTemplatesOperations operations
+    :vartype experiment_templates: flow.aio.operations.ExperimentTemplatesOperations
     :ivar flow_runtimes: FlowRuntimesOperations operations
     :vartype flow_runtimes: flow.aio.operations.FlowRuntimesOperations
     :ivar flow_runtimes_workspace_independent: FlowRuntimesWorkspaceIndependentOperations
@@ -62,6 +66,8 @@ def __init__(
         self.bulk_runs = BulkRunsOperations(self._client, self._config, self._serialize, self._deserialize)
         self.connection = ConnectionOperations(self._client, self._config, self._serialize, self._deserialize)
         self.connections = ConnectionsOperations(self._client, self._config, self._serialize, self._deserialize)
+        self.experiments = ExperimentsOperations(self._client, self._config, self._serialize, self._deserialize)
+        self.experiment_templates = ExperimentTemplatesOperations(self._client, self._config, self._serialize, self._deserialize)
         self.flow_runtimes = FlowRuntimesOperations(self._client, self._config, self._serialize, self._deserialize)
         self.flow_runtimes_workspace_independent = FlowRuntimesWorkspaceIndependentOperations(self._client, self._config, self._serialize, self._deserialize)
         self.flows = FlowsOperations(self._client, self._config, self._serialize, self._deserialize)
diff --git a/src/promptflow/promptflow/azure/_restclient/flow/aio/_configuration.py b/src/promptflow-azure/promptflow/azure/_restclient/flow/aio/_configuration.py
similarity index 100%
rename from src/promptflow/promptflow/azure/_restclient/flow/aio/_configuration.py
rename to src/promptflow-azure/promptflow/azure/_restclient/flow/aio/_configuration.py
diff --git a/src/promptflow/promptflow/azure/_restclient/flow/aio/_patch.py b/src/promptflow-azure/promptflow/azure/_restclient/flow/aio/_patch.py
similarity index 100%
rename from src/promptflow/promptflow/azure/_restclient/flow/aio/_patch.py
rename to src/promptflow-azure/promptflow/azure/_restclient/flow/aio/_patch.py
diff --git a/src/promptflow/promptflow/azure/_restclient/flow/aio/operations/__init__.py b/src/promptflow-azure/promptflow/azure/_restclient/flow/aio/operations/__init__.py
similarity index 86%
rename from src/promptflow/promptflow/azure/_restclient/flow/aio/operations/__init__.py
rename to src/promptflow-azure/promptflow/azure/_restclient/flow/aio/operations/__init__.py
index ee2ed88a873..c18cf94c582 100644
--- a/src/promptflow/promptflow/azure/_restclient/flow/aio/operations/__init__.py
+++ b/src/promptflow-azure/promptflow/azure/_restclient/flow/aio/operations/__init__.py
@@ -7,6 +7,8 @@
 from ._bulk_runs_operations import BulkRunsOperations
 from ._connection_operations import ConnectionOperations
 from ._connections_operations import ConnectionsOperations
+from ._experiments_operations import ExperimentsOperations
+from ._experiment_templates_operations import ExperimentTemplatesOperations
 from ._flow_runtimes_operations import FlowRuntimesOperations
 from ._flow_runtimes_workspace_independent_operations import FlowRuntimesWorkspaceIndependentOperations
 from ._flows_operations import FlowsOperations
@@ -19,6 +21,8 @@
     'BulkRunsOperations',
     'ConnectionOperations',
     'ConnectionsOperations',
+    'ExperimentsOperations',
+    'ExperimentTemplatesOperations',
     'FlowRuntimesOperations',
     'FlowRuntimesWorkspaceIndependentOperations',
     'FlowsOperations',
diff --git a/src/promptflow/promptflow/azure/_restclient/flow/aio/operations/_bulk_runs_operations.py b/src/promptflow-azure/promptflow/azure/_restclient/flow/aio/operations/_bulk_runs_operations.py
similarity index 100%
rename from src/promptflow/promptflow/azure/_restclient/flow/aio/operations/_bulk_runs_operations.py
rename to src/promptflow-azure/promptflow/azure/_restclient/flow/aio/operations/_bulk_runs_operations.py
diff --git a/src/promptflow/promptflow/azure/_restclient/flow/aio/operations/_connection_operations.py b/src/promptflow-azure/promptflow/azure/_restclient/flow/aio/operations/_connection_operations.py
similarity index 100%
rename from src/promptflow/promptflow/azure/_restclient/flow/aio/operations/_connection_operations.py
rename to src/promptflow-azure/promptflow/azure/_restclient/flow/aio/operations/_connection_operations.py
diff --git a/src/promptflow/promptflow/azure/_restclient/flow/aio/operations/_connections_operations.py b/src/promptflow-azure/promptflow/azure/_restclient/flow/aio/operations/_connections_operations.py
similarity index 100%
rename from src/promptflow/promptflow/azure/_restclient/flow/aio/operations/_connections_operations.py
rename to src/promptflow-azure/promptflow/azure/_restclient/flow/aio/operations/_connections_operations.py
diff --git a/src/promptflow-azure/promptflow/azure/_restclient/flow/aio/operations/_experiment_templates_operations.py b/src/promptflow-azure/promptflow/azure/_restclient/flow/aio/operations/_experiment_templates_operations.py
new file mode 100644
index 00000000000..32a3e158c02
--- /dev/null
+++ b/src/promptflow-azure/promptflow/azure/_restclient/flow/aio/operations/_experiment_templates_operations.py
@@ -0,0 +1,171 @@
+# coding=utf-8
+# --------------------------------------------------------------------------
+# Code generated by Microsoft (R) AutoRest Code Generator (autorest: 3.8.0, generator: @autorest/python@5.12.2)
+# Changes may cause incorrect behavior and will be lost if the code is regenerated.
+# --------------------------------------------------------------------------
+import functools
+from typing import Any, Callable, Dict, Generic, Optional, TypeVar
+import warnings
+
+from azure.core.exceptions import ClientAuthenticationError, HttpResponseError, ResourceExistsError, ResourceNotFoundError, map_error
+from azure.core.pipeline import PipelineResponse
+from azure.core.pipeline.transport import AsyncHttpResponse
+from azure.core.rest import HttpRequest
+from azure.core.tracing.decorator_async import distributed_trace_async
+
+from ... import models as _models
+from ..._vendor import _convert_request
+from ...operations._experiment_templates_operations import build_create_experiment_template_request, build_get_experiment_template_request
+T = TypeVar('T')
+ClsType = Optional[Callable[[PipelineResponse[HttpRequest, AsyncHttpResponse], T, Dict[str, Any]], Any]]
+
+class ExperimentTemplatesOperations:
+    """ExperimentTemplatesOperations async operations.
+
+    You should not instantiate this class directly. Instead, you should create a Client instance that
+    instantiates it for you and attaches it as an attribute.
+
+    :ivar models: Alias to model classes used in this operation group.
+    :type models: ~flow.models
+    :param client: Client for service requests.
+    :param config: Configuration of service client.
+    :param serializer: An object model serializer.
+    :param deserializer: An object model deserializer.
+    """
+
+    models = _models
+
+    def __init__(self, client, config, serializer, deserializer) -> None:
+        self._client = client
+        self._serialize = serializer
+        self._deserialize = deserializer
+        self._config = config
+
+    @distributed_trace_async
+    async def create_experiment_template(
+        self,
+        subscription_id: str,
+        resource_group_name: str,
+        workspace_name: str,
+        experiment_template_id: str,
+        body: Optional["_models.CreateExperimentTemplateRequest"] = None,
+        **kwargs: Any
+    ) -> "_models.ExperimentTemplateDto":
+        """create_experiment_template.
+
+        :param subscription_id: The Azure Subscription ID.
+        :type subscription_id: str
+        :param resource_group_name: The Name of the resource group in which the workspace is located.
+        :type resource_group_name: str
+        :param workspace_name: The name of the workspace.
+        :type workspace_name: str
+        :param experiment_template_id:
+        :type experiment_template_id: str
+        :param body:
+        :type body: ~flow.models.CreateExperimentTemplateRequest
+        :keyword callable cls: A custom type or function that will be passed the direct response
+        :return: ExperimentTemplateDto, or the result of cls(response)
+        :rtype: ~flow.models.ExperimentTemplateDto
+        :raises: ~azure.core.exceptions.HttpResponseError
+        """
+        cls = kwargs.pop('cls', None)  # type: ClsType["_models.ExperimentTemplateDto"]
+        error_map = {
+            401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError
+        }
+        error_map.update(kwargs.pop('error_map', {}))
+
+        content_type = kwargs.pop('content_type', "application/json")  # type: Optional[str]
+
+        if body is not None:
+            _json = self._serialize.body(body, 'CreateExperimentTemplateRequest')
+        else:
+            _json = None
+
+        request = build_create_experiment_template_request(
+            subscription_id=subscription_id,
+            resource_group_name=resource_group_name,
+            workspace_name=workspace_name,
+            experiment_template_id=experiment_template_id,
+            content_type=content_type,
+            json=_json,
+            template_url=self.create_experiment_template.metadata['url'],
+        )
+        request = _convert_request(request)
+        request.url = self._client.format_url(request.url)
+
+        pipeline_response = await self._client._pipeline.run(request, stream=False, **kwargs)
+        response = pipeline_response.http_response
+
+        if response.status_code not in [200]:
+            map_error(status_code=response.status_code, response=response, error_map=error_map)
+            error = self._deserialize.failsafe_deserialize(_models.ErrorResponse, pipeline_response)
+            raise HttpResponseError(response=response, model=error)
+
+        deserialized = self._deserialize('ExperimentTemplateDto', pipeline_response)
+
+        if cls:
+            return cls(pipeline_response, deserialized, {})
+
+        return deserialized
+
+    create_experiment_template.metadata = {'url': '/flow/api/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/ExperimentTemplates/{experimentTemplateId}'}  # type: ignore
+
+
+    @distributed_trace_async
+    async def get_experiment_template(
+        self,
+        subscription_id: str,
+        resource_group_name: str,
+        workspace_name: str,
+        experiment_template_id: str,
+        **kwargs: Any
+    ) -> "_models.ExperimentTemplateDto":
+        """get_experiment_template.
+
+        :param subscription_id: The Azure Subscription ID.
+        :type subscription_id: str
+        :param resource_group_name: The Name of the resource group in which the workspace is located.
+        :type resource_group_name: str
+        :param workspace_name: The name of the workspace.
+        :type workspace_name: str
+        :param experiment_template_id:
+        :type experiment_template_id: str
+        :keyword callable cls: A custom type or function that will be passed the direct response
+        :return: ExperimentTemplateDto, or the result of cls(response)
+        :rtype: ~flow.models.ExperimentTemplateDto
+        :raises: ~azure.core.exceptions.HttpResponseError
+        """
+        cls = kwargs.pop('cls', None)  # type: ClsType["_models.ExperimentTemplateDto"]
+        error_map = {
+            401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError
+        }
+        error_map.update(kwargs.pop('error_map', {}))
+
+        
+        request = build_get_experiment_template_request(
+            subscription_id=subscription_id,
+            resource_group_name=resource_group_name,
+            workspace_name=workspace_name,
+            experiment_template_id=experiment_template_id,
+            template_url=self.get_experiment_template.metadata['url'],
+        )
+        request = _convert_request(request)
+        request.url = self._client.format_url(request.url)
+
+        pipeline_response = await self._client._pipeline.run(request, stream=False, **kwargs)
+        response = pipeline_response.http_response
+
+        if response.status_code not in [200]:
+            map_error(status_code=response.status_code, response=response, error_map=error_map)
+            error = self._deserialize.failsafe_deserialize(_models.ErrorResponse, pipeline_response)
+            raise HttpResponseError(response=response, model=error)
+
+        deserialized = self._deserialize('ExperimentTemplateDto', pipeline_response)
+
+        if cls:
+            return cls(pipeline_response, deserialized, {})
+
+        return deserialized
+
+    get_experiment_template.metadata = {'url': '/flow/api/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/ExperimentTemplates/{experimentTemplateId}'}  # type: ignore
+
diff --git a/src/promptflow-azure/promptflow/azure/_restclient/flow/aio/operations/_experiments_operations.py b/src/promptflow-azure/promptflow/azure/_restclient/flow/aio/operations/_experiments_operations.py
new file mode 100644
index 00000000000..1686528a2e8
--- /dev/null
+++ b/src/promptflow-azure/promptflow/azure/_restclient/flow/aio/operations/_experiments_operations.py
@@ -0,0 +1,179 @@
+# coding=utf-8
+# --------------------------------------------------------------------------
+# Code generated by Microsoft (R) AutoRest Code Generator (autorest: 3.8.0, generator: @autorest/python@5.12.2)
+# Changes may cause incorrect behavior and will be lost if the code is regenerated.
+# --------------------------------------------------------------------------
+import functools
+from typing import Any, Callable, Dict, Generic, Optional, TypeVar
+import warnings
+
+from azure.core.exceptions import ClientAuthenticationError, HttpResponseError, ResourceExistsError, ResourceNotFoundError, map_error
+from azure.core.pipeline import PipelineResponse
+from azure.core.pipeline.transport import AsyncHttpResponse
+from azure.core.rest import HttpRequest
+from azure.core.tracing.decorator_async import distributed_trace_async
+
+from ... import models as _models
+from ..._vendor import _convert_request
+from ...operations._experiments_operations import build_get_experiment_request, build_submit_experiment_request
+T = TypeVar('T')
+ClsType = Optional[Callable[[PipelineResponse[HttpRequest, AsyncHttpResponse], T, Dict[str, Any]], Any]]
+
+class ExperimentsOperations:
+    """ExperimentsOperations async operations.
+
+    You should not instantiate this class directly. Instead, you should create a Client instance that
+    instantiates it for you and attaches it as an attribute.
+
+    :ivar models: Alias to model classes used in this operation group.
+    :type models: ~flow.models
+    :param client: Client for service requests.
+    :param config: Configuration of service client.
+    :param serializer: An object model serializer.
+    :param deserializer: An object model deserializer.
+    """
+
+    models = _models
+
+    def __init__(self, client, config, serializer, deserializer) -> None:
+        self._client = client
+        self._serialize = serializer
+        self._deserialize = deserializer
+        self._config = config
+
+    @distributed_trace_async
+    async def submit_experiment(
+        self,
+        subscription_id: str,
+        resource_group_name: str,
+        workspace_name: str,
+        experiment_id: str,
+        experiment_name: Optional[str] = None,
+        description: Optional[str] = None,
+        body: Optional["_models.SubmitExperimentRequest"] = None,
+        **kwargs: Any
+    ) -> "_models.FlowDto":
+        """submit_experiment.
+
+        :param subscription_id: The Azure Subscription ID.
+        :type subscription_id: str
+        :param resource_group_name: The Name of the resource group in which the workspace is located.
+        :type resource_group_name: str
+        :param workspace_name: The name of the workspace.
+        :type workspace_name: str
+        :param experiment_id:
+        :type experiment_id: str
+        :param experiment_name:
+        :type experiment_name: str
+        :param description:
+        :type description: str
+        :param body:
+        :type body: ~flow.models.SubmitExperimentRequest
+        :keyword callable cls: A custom type or function that will be passed the direct response
+        :return: FlowDto, or the result of cls(response)
+        :rtype: ~flow.models.FlowDto
+        :raises: ~azure.core.exceptions.HttpResponseError
+        """
+        cls = kwargs.pop('cls', None)  # type: ClsType["_models.FlowDto"]
+        error_map = {
+            401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError
+        }
+        error_map.update(kwargs.pop('error_map', {}))
+
+        content_type = kwargs.pop('content_type', "application/json")  # type: Optional[str]
+
+        if body is not None:
+            _json = self._serialize.body(body, 'SubmitExperimentRequest')
+        else:
+            _json = None
+
+        request = build_submit_experiment_request(
+            subscription_id=subscription_id,
+            resource_group_name=resource_group_name,
+            workspace_name=workspace_name,
+            experiment_id=experiment_id,
+            content_type=content_type,
+            json=_json,
+            experiment_name=experiment_name,
+            description=description,
+            template_url=self.submit_experiment.metadata['url'],
+        )
+        request = _convert_request(request)
+        request.url = self._client.format_url(request.url)
+
+        pipeline_response = await self._client._pipeline.run(request, stream=False, **kwargs)
+        response = pipeline_response.http_response
+
+        if response.status_code not in [200]:
+            map_error(status_code=response.status_code, response=response, error_map=error_map)
+            error = self._deserialize.failsafe_deserialize(_models.ErrorResponse, pipeline_response)
+            raise HttpResponseError(response=response, model=error)
+
+        deserialized = self._deserialize('FlowDto', pipeline_response)
+
+        if cls:
+            return cls(pipeline_response, deserialized, {})
+
+        return deserialized
+
+    submit_experiment.metadata = {'url': '/flow/api/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/Experiments/{experimentId}'}  # type: ignore
+
+
+    @distributed_trace_async
+    async def get_experiment(
+        self,
+        subscription_id: str,
+        resource_group_name: str,
+        workspace_name: str,
+        experiment_id: str,
+        **kwargs: Any
+    ) -> "_models.ExperimentDefinition":
+        """get_experiment.
+
+        :param subscription_id: The Azure Subscription ID.
+        :type subscription_id: str
+        :param resource_group_name: The Name of the resource group in which the workspace is located.
+        :type resource_group_name: str
+        :param workspace_name: The name of the workspace.
+        :type workspace_name: str
+        :param experiment_id:
+        :type experiment_id: str
+        :keyword callable cls: A custom type or function that will be passed the direct response
+        :return: ExperimentDefinition, or the result of cls(response)
+        :rtype: ~flow.models.ExperimentDefinition
+        :raises: ~azure.core.exceptions.HttpResponseError
+        """
+        cls = kwargs.pop('cls', None)  # type: ClsType["_models.ExperimentDefinition"]
+        error_map = {
+            401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError
+        }
+        error_map.update(kwargs.pop('error_map', {}))
+
+        
+        request = build_get_experiment_request(
+            subscription_id=subscription_id,
+            resource_group_name=resource_group_name,
+            workspace_name=workspace_name,
+            experiment_id=experiment_id,
+            template_url=self.get_experiment.metadata['url'],
+        )
+        request = _convert_request(request)
+        request.url = self._client.format_url(request.url)
+
+        pipeline_response = await self._client._pipeline.run(request, stream=False, **kwargs)
+        response = pipeline_response.http_response
+
+        if response.status_code not in [200]:
+            map_error(status_code=response.status_code, response=response, error_map=error_map)
+            error = self._deserialize.failsafe_deserialize(_models.ErrorResponse, pipeline_response)
+            raise HttpResponseError(response=response, model=error)
+
+        deserialized = self._deserialize('ExperimentDefinition', pipeline_response)
+
+        if cls:
+            return cls(pipeline_response, deserialized, {})
+
+        return deserialized
+
+    get_experiment.metadata = {'url': '/flow/api/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/Experiments/{experimentId}'}  # type: ignore
+
diff --git a/src/promptflow/promptflow/azure/_restclient/flow/aio/operations/_flow_runs_admin_operations.py b/src/promptflow-azure/promptflow/azure/_restclient/flow/aio/operations/_flow_runs_admin_operations.py
similarity index 100%
rename from src/promptflow/promptflow/azure/_restclient/flow/aio/operations/_flow_runs_admin_operations.py
rename to src/promptflow-azure/promptflow/azure/_restclient/flow/aio/operations/_flow_runs_admin_operations.py
diff --git a/src/promptflow/promptflow/azure/_restclient/flow/aio/operations/_flow_runtimes_operations.py b/src/promptflow-azure/promptflow/azure/_restclient/flow/aio/operations/_flow_runtimes_operations.py
similarity index 100%
rename from src/promptflow/promptflow/azure/_restclient/flow/aio/operations/_flow_runtimes_operations.py
rename to src/promptflow-azure/promptflow/azure/_restclient/flow/aio/operations/_flow_runtimes_operations.py
diff --git a/src/promptflow/promptflow/azure/_restclient/flow/aio/operations/_flow_runtimes_workspace_independent_operations.py b/src/promptflow-azure/promptflow/azure/_restclient/flow/aio/operations/_flow_runtimes_workspace_independent_operations.py
similarity index 100%
rename from src/promptflow/promptflow/azure/_restclient/flow/aio/operations/_flow_runtimes_workspace_independent_operations.py
rename to src/promptflow-azure/promptflow/azure/_restclient/flow/aio/operations/_flow_runtimes_workspace_independent_operations.py
diff --git a/src/promptflow/promptflow/azure/_restclient/flow/aio/operations/_flow_sessions_admin_operations.py b/src/promptflow-azure/promptflow/azure/_restclient/flow/aio/operations/_flow_sessions_admin_operations.py
similarity index 100%
rename from src/promptflow/promptflow/azure/_restclient/flow/aio/operations/_flow_sessions_admin_operations.py
rename to src/promptflow-azure/promptflow/azure/_restclient/flow/aio/operations/_flow_sessions_admin_operations.py
diff --git a/src/promptflow/promptflow/azure/_restclient/flow/aio/operations/_flow_sessions_operations.py b/src/promptflow-azure/promptflow/azure/_restclient/flow/aio/operations/_flow_sessions_operations.py
similarity index 100%
rename from src/promptflow/promptflow/azure/_restclient/flow/aio/operations/_flow_sessions_operations.py
rename to src/promptflow-azure/promptflow/azure/_restclient/flow/aio/operations/_flow_sessions_operations.py
diff --git a/src/promptflow/promptflow/azure/_restclient/flow/aio/operations/_flows_operations.py b/src/promptflow-azure/promptflow/azure/_restclient/flow/aio/operations/_flows_operations.py
similarity index 100%
rename from src/promptflow/promptflow/azure/_restclient/flow/aio/operations/_flows_operations.py
rename to src/promptflow-azure/promptflow/azure/_restclient/flow/aio/operations/_flows_operations.py
diff --git a/src/promptflow/promptflow/azure/_restclient/flow/aio/operations/_flows_provider_operations.py b/src/promptflow-azure/promptflow/azure/_restclient/flow/aio/operations/_flows_provider_operations.py
similarity index 100%
rename from src/promptflow/promptflow/azure/_restclient/flow/aio/operations/_flows_provider_operations.py
rename to src/promptflow-azure/promptflow/azure/_restclient/flow/aio/operations/_flows_provider_operations.py
diff --git a/src/promptflow/promptflow/azure/_restclient/flow/aio/operations/_tools_operations.py b/src/promptflow-azure/promptflow/azure/_restclient/flow/aio/operations/_tools_operations.py
similarity index 83%
rename from src/promptflow/promptflow/azure/_restclient/flow/aio/operations/_tools_operations.py
rename to src/promptflow-azure/promptflow/azure/_restclient/flow/aio/operations/_tools_operations.py
index 3b4392625d8..73baf4989d7 100644
--- a/src/promptflow/promptflow/azure/_restclient/flow/aio/operations/_tools_operations.py
+++ b/src/promptflow-azure/promptflow/azure/_restclient/flow/aio/operations/_tools_operations.py
@@ -15,7 +15,7 @@
 
 from ... import models as _models
 from ..._vendor import _convert_request
-from ...operations._tools_operations import build_get_dynamic_list_request, build_get_package_tools_request, build_get_tool_meta_request, build_get_tool_meta_v2_request, build_get_tool_setting_request, build_retrieve_tool_func_result_request
+from ...operations._tools_operations import build_get_dynamic_list_request, build_get_package_tools_request, build_get_tool_meta_v2_request, build_get_tool_setting_request, build_retrieve_tool_func_result_request
 T = TypeVar('T')
 ClsType = Optional[Callable[[PipelineResponse[HttpRequest, AsyncHttpResponse], T, Dict[str, Any]], Any]]
 
@@ -96,89 +96,6 @@ async def get_tool_setting(
     get_tool_setting.metadata = {'url': '/flow/api/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/Tools/setting'}  # type: ignore
 
 
-    @distributed_trace_async
-    async def get_tool_meta(
-        self,
-        subscription_id: str,
-        resource_group_name: str,
-        workspace_name: str,
-        tool_name: str,
-        tool_type: str,
-        endpoint_name: Optional[str] = None,
-        flow_runtime_name: Optional[str] = None,
-        flow_id: Optional[str] = None,
-        data: Optional[str] = None,
-        **kwargs: Any
-    ) -> str:
-        """get_tool_meta.
-
-        :param subscription_id: The Azure Subscription ID.
-        :type subscription_id: str
-        :param resource_group_name: The Name of the resource group in which the workspace is located.
-        :type resource_group_name: str
-        :param workspace_name: The name of the workspace.
-        :type workspace_name: str
-        :param tool_name:
-        :type tool_name: str
-        :param tool_type:
-        :type tool_type: str
-        :param endpoint_name:
-        :type endpoint_name: str
-        :param flow_runtime_name:
-        :type flow_runtime_name: str
-        :param flow_id:
-        :type flow_id: str
-        :param data:
-        :type data: str
-        :keyword callable cls: A custom type or function that will be passed the direct response
-        :return: str, or the result of cls(response)
-        :rtype: str
-        :raises: ~azure.core.exceptions.HttpResponseError
-        """
-        cls = kwargs.pop('cls', None)  # type: ClsType[str]
-        error_map = {
-            401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError
-        }
-        error_map.update(kwargs.pop('error_map', {}))
-
-        content_type = kwargs.pop('content_type', "text/plain")  # type: Optional[str]
-
-        _content = data
-
-        request = build_get_tool_meta_request(
-            subscription_id=subscription_id,
-            resource_group_name=resource_group_name,
-            workspace_name=workspace_name,
-            content_type=content_type,
-            tool_name=tool_name,
-            tool_type=tool_type,
-            content=_content,
-            endpoint_name=endpoint_name,
-            flow_runtime_name=flow_runtime_name,
-            flow_id=flow_id,
-            template_url=self.get_tool_meta.metadata['url'],
-        )
-        request = _convert_request(request)
-        request.url = self._client.format_url(request.url)
-
-        pipeline_response = await self._client._pipeline.run(request, stream=False, **kwargs)
-        response = pipeline_response.http_response
-
-        if response.status_code not in [200]:
-            map_error(status_code=response.status_code, response=response, error_map=error_map)
-            error = self._deserialize.failsafe_deserialize(_models.ErrorResponse, pipeline_response)
-            raise HttpResponseError(response=response, model=error)
-
-        deserialized = self._deserialize('str', pipeline_response)
-
-        if cls:
-            return cls(pipeline_response, deserialized, {})
-
-        return deserialized
-
-    get_tool_meta.metadata = {'url': '/flow/api/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/Tools/meta'}  # type: ignore
-
-
     @distributed_trace_async
     async def get_tool_meta_v2(
         self,
diff --git a/src/promptflow/promptflow/azure/_restclient/flow/aio/operations/_trace_sessions_operations.py b/src/promptflow-azure/promptflow/azure/_restclient/flow/aio/operations/_trace_sessions_operations.py
similarity index 100%
rename from src/promptflow/promptflow/azure/_restclient/flow/aio/operations/_trace_sessions_operations.py
rename to src/promptflow-azure/promptflow/azure/_restclient/flow/aio/operations/_trace_sessions_operations.py
diff --git a/src/promptflow/promptflow/azure/_restclient/flow/models/__init__.py b/src/promptflow-azure/promptflow/azure/_restclient/flow/models/__init__.py
similarity index 98%
rename from src/promptflow/promptflow/azure/_restclient/flow/models/__init__.py
rename to src/promptflow-azure/promptflow/azure/_restclient/flow/models/__init__.py
index 6e58479b934..b7719f602d8 100644
--- a/src/promptflow/promptflow/azure/_restclient/flow/models/__init__.py
+++ b/src/promptflow-azure/promptflow/azure/_restclient/flow/models/__init__.py
@@ -194,6 +194,7 @@
     from ._models_py3 import BatchGetComponentRequest
     from ._models_py3 import Binding
     from ._models_py3 import BulkTestDto
+    from ._models_py3 import ChatGroupRole
     from ._models_py3 import CloudError
     from ._models_py3 import CloudPrioritySetting
     from ._models_py3 import CloudSettings
@@ -239,6 +240,7 @@
     from ._models_py3 import ControlInput
     from ._models_py3 import ControlOutput
     from ._models_py3 import CopyDataTask
+    from ._models_py3 import CreateExperimentTemplateRequest
     from ._models_py3 import CreateFlowRequest
     from ._models_py3 import CreateFlowRuntimeRequest
     from ._models_py3 import CreateFlowSessionRequest
@@ -320,7 +322,12 @@
     from ._models_py3 import ExecutionDataPath
     from ._models_py3 import ExecutionGlobsOptions
     from ._models_py3 import ExperimentComputeMetaInfo
+    from ._models_py3 import ExperimentData
+    from ._models_py3 import ExperimentDefinition
+    from ._models_py3 import ExperimentDefinitionSource
     from ._models_py3 import ExperimentInfo
+    from ._models_py3 import ExperimentNode
+    from ._models_py3 import ExperimentTemplateDto
     from ._models_py3 import ExportComponentMetaInfo
     from ._models_py3 import ExportDataTask
     from ._models_py3 import FeaturizationSettings
@@ -330,6 +337,7 @@
     from ._models_py3 import Flow
     from ._models_py3 import FlowAnnotations
     from ._models_py3 import FlowBaseDto
+    from ._models_py3 import FlowDiagnostics
     from ._models_py3 import FlowDto
     from ._models_py3 import FlowEnvironment
     from ._models_py3 import FlowFeature
@@ -593,6 +601,7 @@
     from ._models_py3 import SessionApplication
     from ._models_py3 import SessionApplicationRunCommandResult
     from ._models_py3 import SessionProperties
+    from ._models_py3 import SessionRuntimeResources
     from ._models_py3 import SetupFlowSessionRequest
     from ._models_py3 import SharingScope
     from ._models_py3 import Snapshot
@@ -634,6 +643,7 @@
     from ._models_py3 import SubStatusPeriod
     from ._models_py3 import SubmitBulkRunRequest
     from ._models_py3 import SubmitBulkRunResponse
+    from ._models_py3 import SubmitExperimentRequest
     from ._models_py3 import SubmitFlowRequest
     from ._models_py3 import SubmitPipelineRunRequest
     from ._models_py3 import SweepEarlyTerminationPolicy
@@ -890,6 +900,7 @@
     from ._models import BatchGetComponentRequest  # type: ignore
     from ._models import Binding  # type: ignore
     from ._models import BulkTestDto  # type: ignore
+    from ._models import ChatGroupRole  # type: ignore
     from ._models import CloudError  # type: ignore
     from ._models import CloudPrioritySetting  # type: ignore
     from ._models import CloudSettings  # type: ignore
@@ -935,6 +946,7 @@
     from ._models import ControlInput  # type: ignore
     from ._models import ControlOutput  # type: ignore
     from ._models import CopyDataTask  # type: ignore
+    from ._models import CreateExperimentTemplateRequest  # type: ignore
     from ._models import CreateFlowRequest  # type: ignore
     from ._models import CreateFlowRuntimeRequest  # type: ignore
     from ._models import CreateFlowSessionRequest  # type: ignore
@@ -1016,7 +1028,12 @@
     from ._models import ExecutionDataPath  # type: ignore
     from ._models import ExecutionGlobsOptions  # type: ignore
     from ._models import ExperimentComputeMetaInfo  # type: ignore
+    from ._models import ExperimentData  # type: ignore
+    from ._models import ExperimentDefinition  # type: ignore
+    from ._models import ExperimentDefinitionSource  # type: ignore
     from ._models import ExperimentInfo  # type: ignore
+    from ._models import ExperimentNode  # type: ignore
+    from ._models import ExperimentTemplateDto  # type: ignore
     from ._models import ExportComponentMetaInfo  # type: ignore
     from ._models import ExportDataTask  # type: ignore
     from ._models import FeaturizationSettings  # type: ignore
@@ -1026,6 +1043,7 @@
     from ._models import Flow  # type: ignore
     from ._models import FlowAnnotations  # type: ignore
     from ._models import FlowBaseDto  # type: ignore
+    from ._models import FlowDiagnostics  # type: ignore
     from ._models import FlowDto  # type: ignore
     from ._models import FlowEnvironment  # type: ignore
     from ._models import FlowFeature  # type: ignore
@@ -1289,6 +1307,7 @@
     from ._models import SessionApplication  # type: ignore
     from ._models import SessionApplicationRunCommandResult  # type: ignore
     from ._models import SessionProperties  # type: ignore
+    from ._models import SessionRuntimeResources  # type: ignore
     from ._models import SetupFlowSessionRequest  # type: ignore
     from ._models import SharingScope  # type: ignore
     from ._models import Snapshot  # type: ignore
@@ -1330,6 +1349,7 @@
     from ._models import SubStatusPeriod  # type: ignore
     from ._models import SubmitBulkRunRequest  # type: ignore
     from ._models import SubmitBulkRunResponse  # type: ignore
+    from ._models import SubmitExperimentRequest  # type: ignore
     from ._models import SubmitFlowRequest  # type: ignore
     from ._models import SubmitPipelineRunRequest  # type: ignore
     from ._models import SweepEarlyTerminationPolicy  # type: ignore
@@ -1497,6 +1517,8 @@
     EntityStatus,
     ErrorHandlingMode,
     ExecutionPhase,
+    ExperimentDefinitionSourceType,
+    ExperimentNodeType,
     FeaturizationMode,
     FlowFeatureStateEnum,
     FlowLanguage,
@@ -1803,6 +1825,7 @@
     'BatchGetComponentRequest',
     'Binding',
     'BulkTestDto',
+    'ChatGroupRole',
     'CloudError',
     'CloudPrioritySetting',
     'CloudSettings',
@@ -1848,6 +1871,7 @@
     'ControlInput',
     'ControlOutput',
     'CopyDataTask',
+    'CreateExperimentTemplateRequest',
     'CreateFlowRequest',
     'CreateFlowRuntimeRequest',
     'CreateFlowSessionRequest',
@@ -1929,7 +1953,12 @@
     'ExecutionDataPath',
     'ExecutionGlobsOptions',
     'ExperimentComputeMetaInfo',
+    'ExperimentData',
+    'ExperimentDefinition',
+    'ExperimentDefinitionSource',
     'ExperimentInfo',
+    'ExperimentNode',
+    'ExperimentTemplateDto',
     'ExportComponentMetaInfo',
     'ExportDataTask',
     'FeaturizationSettings',
@@ -1939,6 +1968,7 @@
     'Flow',
     'FlowAnnotations',
     'FlowBaseDto',
+    'FlowDiagnostics',
     'FlowDto',
     'FlowEnvironment',
     'FlowFeature',
@@ -2202,6 +2232,7 @@
     'SessionApplication',
     'SessionApplicationRunCommandResult',
     'SessionProperties',
+    'SessionRuntimeResources',
     'SetupFlowSessionRequest',
     'SharingScope',
     'Snapshot',
@@ -2243,6 +2274,7 @@
     'SubStatusPeriod',
     'SubmitBulkRunRequest',
     'SubmitBulkRunResponse',
+    'SubmitExperimentRequest',
     'SubmitFlowRequest',
     'SubmitPipelineRunRequest',
     'SweepEarlyTerminationPolicy',
@@ -2408,6 +2440,8 @@
     'EntityStatus',
     'ErrorHandlingMode',
     'ExecutionPhase',
+    'ExperimentDefinitionSourceType',
+    'ExperimentNodeType',
     'FeaturizationMode',
     'FlowFeatureStateEnum',
     'FlowLanguage',
diff --git a/src/promptflow/promptflow/azure/_restclient/flow/models/_azure_machine_learning_designer_service_client_enums.py b/src/promptflow-azure/promptflow/azure/_restclient/flow/models/_azure_machine_learning_designer_service_client_enums.py
similarity index 99%
rename from src/promptflow/promptflow/azure/_restclient/flow/models/_azure_machine_learning_designer_service_client_enums.py
rename to src/promptflow-azure/promptflow/azure/_restclient/flow/models/_azure_machine_learning_designer_service_client_enums.py
index 925a76ca14d..9ae900f2c39 100644
--- a/src/promptflow/promptflow/azure/_restclient/flow/models/_azure_machine_learning_designer_service_client_enums.py
+++ b/src/promptflow-azure/promptflow/azure/_restclient/flow/models/_azure_machine_learning_designer_service_client_enums.py
@@ -439,10 +439,8 @@ class AssetType(with_metaclass(CaseInsensitiveEnumMeta, str, Enum)):
     DATASET = "Dataset"
     DATA_STORE = "DataStore"
     SAMPLE_GRAPH = "SampleGraph"
-    FLOW_TOOL = "FlowTool"
     FLOW_TOOL_SETTING = "FlowToolSetting"
     FLOW_CONNECTION = "FlowConnection"
-    FLOW_SAMPLE = "FlowSample"
     FLOW_RUNTIME_SPEC = "FlowRuntimeSpec"
 
 class AutoDeleteCondition(with_metaclass(CaseInsensitiveEnumMeta, str, Enum)):
@@ -857,6 +855,16 @@ class ExecutionPhase(with_metaclass(CaseInsensitiveEnumMeta, str, Enum)):
     INITIALIZATION = "Initialization"
     FINALIZATION = "Finalization"
 
+class ExperimentDefinitionSourceType(with_metaclass(CaseInsensitiveEnumMeta, str, Enum)):
+
+    DATA_URI = "DataUri"
+    DEFINITION = "Definition"
+
+class ExperimentNodeType(with_metaclass(CaseInsensitiveEnumMeta, str, Enum)):
+
+    FLOW = "Flow"
+    CHAT_GROUP = "ChatGroup"
+
 class FeaturizationMode(with_metaclass(CaseInsensitiveEnumMeta, str, Enum)):
 
     AUTO = "Auto"
@@ -1699,6 +1707,7 @@ class ToolState(with_metaclass(CaseInsensitiveEnumMeta, str, Enum)):
     STABLE = "Stable"
     PREVIEW = "Preview"
     DEPRECATED = "Deprecated"
+    ARCHIVED = "Archived"
 
 class ToolType(with_metaclass(CaseInsensitiveEnumMeta, str, Enum)):
 
diff --git a/src/promptflow/promptflow/azure/_restclient/flow/models/_models.py b/src/promptflow-azure/promptflow/azure/_restclient/flow/models/_models.py
similarity index 98%
rename from src/promptflow/promptflow/azure/_restclient/flow/models/_models.py
rename to src/promptflow-azure/promptflow/azure/_restclient/flow/models/_models.py
index feb65cc6b06..594323e20a5 100644
--- a/src/promptflow/promptflow/azure/_restclient/flow/models/_models.py
+++ b/src/promptflow-azure/promptflow/azure/_restclient/flow/models/_models.py
@@ -8022,8 +8022,7 @@ class AssetVersionPublishRequest(msrest.serialization.Model):
     """AssetVersionPublishRequest.
 
     :ivar asset_type: Possible values include: "Component", "Model", "Environment", "Dataset",
-     "DataStore", "SampleGraph", "FlowTool", "FlowToolSetting", "FlowConnection", "FlowSample",
-     "FlowRuntimeSpec".
+     "DataStore", "SampleGraph", "FlowToolSetting", "FlowConnection", "FlowRuntimeSpec".
     :vartype asset_type: str or ~flow.models.AssetType
     :ivar asset_source_type: Possible values include: "Unknown", "Local", "GithubFile",
      "GithubFolder", "DevopsArtifactsZip".
@@ -8065,8 +8064,7 @@ def __init__(
     ):
         """
         :keyword asset_type: Possible values include: "Component", "Model", "Environment", "Dataset",
-         "DataStore", "SampleGraph", "FlowTool", "FlowToolSetting", "FlowConnection", "FlowSample",
-         "FlowRuntimeSpec".
+         "DataStore", "SampleGraph", "FlowToolSetting", "FlowConnection", "FlowRuntimeSpec".
         :paramtype asset_type: str or ~flow.models.AssetType
         :keyword asset_source_type: Possible values include: "Unknown", "Local", "GithubFile",
          "GithubFolder", "DevopsArtifactsZip".
@@ -9192,6 +9190,101 @@ def __init__(
         self.batch_data_input = kwargs.get('batch_data_input', None)
 
 
+class ChatGroupRole(msrest.serialization.Model):
+    """ChatGroupRole.
+
+    :ivar name:
+    :vartype name: str
+    :ivar role:
+    :vartype role: str
+    :ivar stop_signal:
+    :vartype stop_signal: str
+    :ivar path:
+    :vartype path: str
+    :ivar variant:
+    :vartype variant: str
+    :ivar connections: This is a dictionary.
+    :vartype connections: dict[str, dict[str, str]]
+    :ivar environment_variables: This is a dictionary.
+    :vartype environment_variables: dict[str, str]
+    :ivar display_name:
+    :vartype display_name: str
+    :ivar description:
+    :vartype description: str
+    :ivar tags: A set of tags. This is a dictionary.
+    :vartype tags: dict[str, str]
+    :ivar properties: This is a dictionary.
+    :vartype properties: dict[str, str]
+    :ivar resources:
+    :vartype resources: ~flow.models.SessionRuntimeResources
+    :ivar inputs: Dictionary of :code:`<any>`.
+    :vartype inputs: dict[str, any]
+    """
+
+    _attribute_map = {
+        'name': {'key': 'name', 'type': 'str'},
+        'role': {'key': 'role', 'type': 'str'},
+        'stop_signal': {'key': 'stop_signal', 'type': 'str'},
+        'path': {'key': 'path', 'type': 'str'},
+        'variant': {'key': 'variant', 'type': 'str'},
+        'connections': {'key': 'connections', 'type': '{{str}}'},
+        'environment_variables': {'key': 'environment_variables', 'type': '{str}'},
+        'display_name': {'key': 'display_name', 'type': 'str'},
+        'description': {'key': 'description', 'type': 'str'},
+        'tags': {'key': 'tags', 'type': '{str}'},
+        'properties': {'key': 'properties', 'type': '{str}'},
+        'resources': {'key': 'resources', 'type': 'SessionRuntimeResources'},
+        'inputs': {'key': 'inputs', 'type': '{object}'},
+    }
+
+    def __init__(
+        self,
+        **kwargs
+    ):
+        """
+        :keyword name:
+        :paramtype name: str
+        :keyword role:
+        :paramtype role: str
+        :keyword stop_signal:
+        :paramtype stop_signal: str
+        :keyword path:
+        :paramtype path: str
+        :keyword variant:
+        :paramtype variant: str
+        :keyword connections: This is a dictionary.
+        :paramtype connections: dict[str, dict[str, str]]
+        :keyword environment_variables: This is a dictionary.
+        :paramtype environment_variables: dict[str, str]
+        :keyword display_name:
+        :paramtype display_name: str
+        :keyword description:
+        :paramtype description: str
+        :keyword tags: A set of tags. This is a dictionary.
+        :paramtype tags: dict[str, str]
+        :keyword properties: This is a dictionary.
+        :paramtype properties: dict[str, str]
+        :keyword resources:
+        :paramtype resources: ~flow.models.SessionRuntimeResources
+        :keyword inputs: Dictionary of :code:`<any>`.
+        :paramtype inputs: dict[str, any]
+        """
+        super(ChatGroupRole, self).__init__(**kwargs)
+        self.name = kwargs.get('name', None)
+        self.role = kwargs.get('role', None)
+        self.stop_signal = kwargs.get('stop_signal', None)
+        self.path = kwargs.get('path', None)
+        self.variant = kwargs.get('variant', None)
+        self.connections = kwargs.get('connections', None)
+        self.environment_variables = kwargs.get('environment_variables', None)
+        self.display_name = kwargs.get('display_name', None)
+        self.description = kwargs.get('description', None)
+        self.tags = kwargs.get('tags', None)
+        self.properties = kwargs.get('properties', None)
+        self.resources = kwargs.get('resources', None)
+        self.inputs = kwargs.get('inputs', None)
+
+
 class CloudError(msrest.serialization.Model):
     """CloudError.
 
@@ -11583,6 +11676,29 @@ def __init__(
         self.location = kwargs.get('location', None)
 
 
+class CreateExperimentTemplateRequest(msrest.serialization.Model):
+    """CreateExperimentTemplateRequest.
+
+    :ivar experiment_definition_source:
+    :vartype experiment_definition_source: ~flow.models.ExperimentDefinitionSource
+    """
+
+    _attribute_map = {
+        'experiment_definition_source': {'key': 'experimentDefinitionSource', 'type': 'ExperimentDefinitionSource'},
+    }
+
+    def __init__(
+        self,
+        **kwargs
+    ):
+        """
+        :keyword experiment_definition_source:
+        :paramtype experiment_definition_source: ~flow.models.ExperimentDefinitionSource
+        """
+        super(CreateExperimentTemplateRequest, self).__init__(**kwargs)
+        self.experiment_definition_source = kwargs.get('experiment_definition_source', None)
+
+
 class CreateFlowRequest(msrest.serialization.Model):
     """CreateFlowRequest.
 
@@ -16114,6 +16230,117 @@ def __init__(
         self.compute_type = kwargs.get('compute_type', None)
 
 
+class ExperimentData(msrest.serialization.Model):
+    """ExperimentData.
+
+    :ivar name:
+    :vartype name: str
+    :ivar path:
+    :vartype path: str
+    """
+
+    _attribute_map = {
+        'name': {'key': 'name', 'type': 'str'},
+        'path': {'key': 'path', 'type': 'str'},
+    }
+
+    def __init__(
+        self,
+        **kwargs
+    ):
+        """
+        :keyword name:
+        :paramtype name: str
+        :keyword path:
+        :paramtype path: str
+        """
+        super(ExperimentData, self).__init__(**kwargs)
+        self.name = kwargs.get('name', None)
+        self.path = kwargs.get('path', None)
+
+
+class ExperimentDefinition(msrest.serialization.Model):
+    """ExperimentDefinition.
+
+    :ivar name:
+    :vartype name: str
+    :ivar description:
+    :vartype description: str
+    :ivar inputs:
+    :vartype inputs: list[~flow.models.FlowInputDefinition]
+    :ivar data:
+    :vartype data: list[~flow.models.ExperimentData]
+    :ivar nodes:
+    :vartype nodes: list[~flow.models.ExperimentNode]
+    """
+
+    _attribute_map = {
+        'name': {'key': 'name', 'type': 'str'},
+        'description': {'key': 'description', 'type': 'str'},
+        'inputs': {'key': 'inputs', 'type': '[FlowInputDefinition]'},
+        'data': {'key': 'data', 'type': '[ExperimentData]'},
+        'nodes': {'key': 'nodes', 'type': '[ExperimentNode]'},
+    }
+
+    def __init__(
+        self,
+        **kwargs
+    ):
+        """
+        :keyword name:
+        :paramtype name: str
+        :keyword description:
+        :paramtype description: str
+        :keyword inputs:
+        :paramtype inputs: list[~flow.models.FlowInputDefinition]
+        :keyword data:
+        :paramtype data: list[~flow.models.ExperimentData]
+        :keyword nodes:
+        :paramtype nodes: list[~flow.models.ExperimentNode]
+        """
+        super(ExperimentDefinition, self).__init__(**kwargs)
+        self.name = kwargs.get('name', None)
+        self.description = kwargs.get('description', None)
+        self.inputs = kwargs.get('inputs', None)
+        self.data = kwargs.get('data', None)
+        self.nodes = kwargs.get('nodes', None)
+
+
+class ExperimentDefinitionSource(msrest.serialization.Model):
+    """ExperimentDefinitionSource.
+
+    :ivar source_type: Possible values include: "DataUri", "Definition".
+    :vartype source_type: str or ~flow.models.ExperimentDefinitionSourceType
+    :ivar experiment_definition_data_uri:
+    :vartype experiment_definition_data_uri: str
+    :ivar experiment_definition:
+    :vartype experiment_definition: ~flow.models.ExperimentDefinition
+    """
+
+    _attribute_map = {
+        'source_type': {'key': 'sourceType', 'type': 'str'},
+        'experiment_definition_data_uri': {'key': 'experimentDefinitionDataUri', 'type': 'str'},
+        'experiment_definition': {'key': 'experimentDefinition', 'type': 'ExperimentDefinition'},
+    }
+
+    def __init__(
+        self,
+        **kwargs
+    ):
+        """
+        :keyword source_type: Possible values include: "DataUri", "Definition".
+        :paramtype source_type: str or ~flow.models.ExperimentDefinitionSourceType
+        :keyword experiment_definition_data_uri:
+        :paramtype experiment_definition_data_uri: str
+        :keyword experiment_definition:
+        :paramtype experiment_definition: ~flow.models.ExperimentDefinition
+        """
+        super(ExperimentDefinitionSource, self).__init__(**kwargs)
+        self.source_type = kwargs.get('source_type', None)
+        self.experiment_definition_data_uri = kwargs.get('experiment_definition_data_uri', None)
+        self.experiment_definition = kwargs.get('experiment_definition', None)
+
+
 class ExperimentInfo(msrest.serialization.Model):
     """ExperimentInfo.
 
@@ -16143,6 +16370,178 @@ def __init__(
         self.experiment_id = kwargs.get('experiment_id', None)
 
 
+class ExperimentNode(msrest.serialization.Model):
+    """ExperimentNode.
+
+    :ivar name:
+    :vartype name: str
+    :ivar type: Possible values include: "Flow", "ChatGroup".
+    :vartype type: str or ~flow.models.ExperimentNodeType
+    :ivar max_turns:
+    :vartype max_turns: int
+    :ivar roles:
+    :vartype roles: list[~flow.models.ChatGroupRole]
+    :ivar path:
+    :vartype path: str
+    :ivar variant:
+    :vartype variant: str
+    :ivar connections: This is a dictionary.
+    :vartype connections: dict[str, dict[str, str]]
+    :ivar environment_variables: This is a dictionary.
+    :vartype environment_variables: dict[str, str]
+    :ivar display_name:
+    :vartype display_name: str
+    :ivar description:
+    :vartype description: str
+    :ivar tags: A set of tags. This is a dictionary.
+    :vartype tags: dict[str, str]
+    :ivar properties: This is a dictionary.
+    :vartype properties: dict[str, str]
+    :ivar resources:
+    :vartype resources: ~flow.models.SessionRuntimeResources
+    :ivar inputs: Dictionary of :code:`<any>`.
+    :vartype inputs: dict[str, any]
+    """
+
+    _attribute_map = {
+        'name': {'key': 'name', 'type': 'str'},
+        'type': {'key': 'type', 'type': 'str'},
+        'max_turns': {'key': 'max_turns', 'type': 'int'},
+        'roles': {'key': 'roles', 'type': '[ChatGroupRole]'},
+        'path': {'key': 'path', 'type': 'str'},
+        'variant': {'key': 'variant', 'type': 'str'},
+        'connections': {'key': 'connections', 'type': '{{str}}'},
+        'environment_variables': {'key': 'environment_variables', 'type': '{str}'},
+        'display_name': {'key': 'display_name', 'type': 'str'},
+        'description': {'key': 'description', 'type': 'str'},
+        'tags': {'key': 'tags', 'type': '{str}'},
+        'properties': {'key': 'properties', 'type': '{str}'},
+        'resources': {'key': 'resources', 'type': 'SessionRuntimeResources'},
+        'inputs': {'key': 'inputs', 'type': '{object}'},
+    }
+
+    def __init__(
+        self,
+        **kwargs
+    ):
+        """
+        :keyword name:
+        :paramtype name: str
+        :keyword type: Possible values include: "Flow", "ChatGroup".
+        :paramtype type: str or ~flow.models.ExperimentNodeType
+        :keyword max_turns:
+        :paramtype max_turns: int
+        :keyword roles:
+        :paramtype roles: list[~flow.models.ChatGroupRole]
+        :keyword path:
+        :paramtype path: str
+        :keyword variant:
+        :paramtype variant: str
+        :keyword connections: This is a dictionary.
+        :paramtype connections: dict[str, dict[str, str]]
+        :keyword environment_variables: This is a dictionary.
+        :paramtype environment_variables: dict[str, str]
+        :keyword display_name:
+        :paramtype display_name: str
+        :keyword description:
+        :paramtype description: str
+        :keyword tags: A set of tags. This is a dictionary.
+        :paramtype tags: dict[str, str]
+        :keyword properties: This is a dictionary.
+        :paramtype properties: dict[str, str]
+        :keyword resources:
+        :paramtype resources: ~flow.models.SessionRuntimeResources
+        :keyword inputs: Dictionary of :code:`<any>`.
+        :paramtype inputs: dict[str, any]
+        """
+        super(ExperimentNode, self).__init__(**kwargs)
+        self.name = kwargs.get('name', None)
+        self.type = kwargs.get('type', None)
+        self.max_turns = kwargs.get('max_turns', None)
+        self.roles = kwargs.get('roles', None)
+        self.path = kwargs.get('path', None)
+        self.variant = kwargs.get('variant', None)
+        self.connections = kwargs.get('connections', None)
+        self.environment_variables = kwargs.get('environment_variables', None)
+        self.display_name = kwargs.get('display_name', None)
+        self.description = kwargs.get('description', None)
+        self.tags = kwargs.get('tags', None)
+        self.properties = kwargs.get('properties', None)
+        self.resources = kwargs.get('resources', None)
+        self.inputs = kwargs.get('inputs', None)
+
+
+class ExperimentTemplateDto(msrest.serialization.Model):
+    """ExperimentTemplateDto.
+
+    :ivar id:
+    :vartype id: str
+    :ivar created_date:
+    :vartype created_date: ~datetime.datetime
+    :ivar last_modified_date:
+    :vartype last_modified_date: ~datetime.datetime
+    :ivar owner:
+    :vartype owner: ~flow.models.SchemaContractsCreatedBy
+    :ivar name:
+    :vartype name: str
+    :ivar description:
+    :vartype description: str
+    :ivar inputs:
+    :vartype inputs: list[~flow.models.FlowInputDefinition]
+    :ivar data:
+    :vartype data: list[~flow.models.ExperimentData]
+    :ivar nodes:
+    :vartype nodes: list[~flow.models.ExperimentNode]
+    """
+
+    _attribute_map = {
+        'id': {'key': 'id', 'type': 'str'},
+        'created_date': {'key': 'createdDate', 'type': 'iso-8601'},
+        'last_modified_date': {'key': 'lastModifiedDate', 'type': 'iso-8601'},
+        'owner': {'key': 'owner', 'type': 'SchemaContractsCreatedBy'},
+        'name': {'key': 'name', 'type': 'str'},
+        'description': {'key': 'description', 'type': 'str'},
+        'inputs': {'key': 'inputs', 'type': '[FlowInputDefinition]'},
+        'data': {'key': 'data', 'type': '[ExperimentData]'},
+        'nodes': {'key': 'nodes', 'type': '[ExperimentNode]'},
+    }
+
+    def __init__(
+        self,
+        **kwargs
+    ):
+        """
+        :keyword id:
+        :paramtype id: str
+        :keyword created_date:
+        :paramtype created_date: ~datetime.datetime
+        :keyword last_modified_date:
+        :paramtype last_modified_date: ~datetime.datetime
+        :keyword owner:
+        :paramtype owner: ~flow.models.SchemaContractsCreatedBy
+        :keyword name:
+        :paramtype name: str
+        :keyword description:
+        :paramtype description: str
+        :keyword inputs:
+        :paramtype inputs: list[~flow.models.FlowInputDefinition]
+        :keyword data:
+        :paramtype data: list[~flow.models.ExperimentData]
+        :keyword nodes:
+        :paramtype nodes: list[~flow.models.ExperimentNode]
+        """
+        super(ExperimentTemplateDto, self).__init__(**kwargs)
+        self.id = kwargs.get('id', None)
+        self.created_date = kwargs.get('created_date', None)
+        self.last_modified_date = kwargs.get('last_modified_date', None)
+        self.owner = kwargs.get('owner', None)
+        self.name = kwargs.get('name', None)
+        self.description = kwargs.get('description', None)
+        self.inputs = kwargs.get('inputs', None)
+        self.data = kwargs.get('data', None)
+        self.nodes = kwargs.get('nodes', None)
+
+
 class ExportComponentMetaInfo(msrest.serialization.Model):
     """ExportComponentMetaInfo.
 
@@ -16602,6 +17001,8 @@ class FlowBaseDto(msrest.serialization.Model):
     :vartype max_idle_time_seconds: long
     :ivar identity:
     :vartype identity: str
+    :ivar flow_diagnostics:
+    :vartype flow_diagnostics: ~flow.models.FlowDiagnostics
     """
 
     _attribute_map = {
@@ -16620,6 +17021,7 @@ class FlowBaseDto(msrest.serialization.Model):
         'vm_size': {'key': 'vmSize', 'type': 'str'},
         'max_idle_time_seconds': {'key': 'maxIdleTimeSeconds', 'type': 'long'},
         'identity': {'key': 'identity', 'type': 'str'},
+        'flow_diagnostics': {'key': 'flowDiagnostics', 'type': 'FlowDiagnostics'},
     }
 
     def __init__(
@@ -16657,6 +17059,8 @@ def __init__(
         :paramtype max_idle_time_seconds: long
         :keyword identity:
         :paramtype identity: str
+        :keyword flow_diagnostics:
+        :paramtype flow_diagnostics: ~flow.models.FlowDiagnostics
         """
         super(FlowBaseDto, self).__init__(**kwargs)
         self.flow_id = kwargs.get('flow_id', None)
@@ -16674,6 +17078,54 @@ def __init__(
         self.vm_size = kwargs.get('vm_size', None)
         self.max_idle_time_seconds = kwargs.get('max_idle_time_seconds', None)
         self.identity = kwargs.get('identity', None)
+        self.flow_diagnostics = kwargs.get('flow_diagnostics', None)
+
+
+class FlowDiagnostics(msrest.serialization.Model):
+    """FlowDiagnostics.
+
+    :ivar datastore:
+    :vartype datastore: str
+    :ivar artifact_origin:
+    :vartype artifact_origin: str
+    :ivar container:
+    :vartype container: str
+    :ivar session_log_relative_path:
+    :vartype session_log_relative_path: str
+    :ivar session_artifact_id:
+    :vartype session_artifact_id: str
+    """
+
+    _attribute_map = {
+        'datastore': {'key': 'datastore', 'type': 'str'},
+        'artifact_origin': {'key': 'artifactOrigin', 'type': 'str'},
+        'container': {'key': 'container', 'type': 'str'},
+        'session_log_relative_path': {'key': 'sessionLogRelativePath', 'type': 'str'},
+        'session_artifact_id': {'key': 'sessionArtifactId', 'type': 'str'},
+    }
+
+    def __init__(
+        self,
+        **kwargs
+    ):
+        """
+        :keyword datastore:
+        :paramtype datastore: str
+        :keyword artifact_origin:
+        :paramtype artifact_origin: str
+        :keyword container:
+        :paramtype container: str
+        :keyword session_log_relative_path:
+        :paramtype session_log_relative_path: str
+        :keyword session_artifact_id:
+        :paramtype session_artifact_id: str
+        """
+        super(FlowDiagnostics, self).__init__(**kwargs)
+        self.datastore = kwargs.get('datastore', None)
+        self.artifact_origin = kwargs.get('artifact_origin', None)
+        self.container = kwargs.get('container', None)
+        self.session_log_relative_path = kwargs.get('session_log_relative_path', None)
+        self.session_artifact_id = kwargs.get('session_artifact_id', None)
 
 
 class FlowDto(msrest.serialization.Model):
@@ -16725,6 +17177,8 @@ class FlowDto(msrest.serialization.Model):
     :vartype max_idle_time_seconds: long
     :ivar identity:
     :vartype identity: str
+    :ivar flow_diagnostics:
+    :vartype flow_diagnostics: ~flow.models.FlowDiagnostics
     """
 
     _attribute_map = {
@@ -16751,6 +17205,7 @@ class FlowDto(msrest.serialization.Model):
         'vm_size': {'key': 'vmSize', 'type': 'str'},
         'max_idle_time_seconds': {'key': 'maxIdleTimeSeconds', 'type': 'long'},
         'identity': {'key': 'identity', 'type': 'str'},
+        'flow_diagnostics': {'key': 'flowDiagnostics', 'type': 'FlowDiagnostics'},
     }
 
     def __init__(
@@ -16804,6 +17259,8 @@ def __init__(
         :paramtype max_idle_time_seconds: long
         :keyword identity:
         :paramtype identity: str
+        :keyword flow_diagnostics:
+        :paramtype flow_diagnostics: ~flow.models.FlowDiagnostics
         """
         super(FlowDto, self).__init__(**kwargs)
         self.timestamp = kwargs.get('timestamp', None)
@@ -16829,6 +17286,7 @@ def __init__(
         self.vm_size = kwargs.get('vm_size', None)
         self.max_idle_time_seconds = kwargs.get('max_idle_time_seconds', None)
         self.identity = kwargs.get('identity', None)
+        self.flow_diagnostics = kwargs.get('flow_diagnostics', None)
 
 
 class FlowEnvironment(msrest.serialization.Model):
@@ -18155,6 +18613,16 @@ def __init__(
 class FlowRunSettingsBase(msrest.serialization.Model):
     """FlowRunSettingsBase.
 
+    :ivar batch_inputs:
+    :vartype batch_inputs: list[dict[str, any]]
+    :ivar input_universal_link:
+    :vartype input_universal_link: str
+    :ivar data_inputs: This is a dictionary.
+    :vartype data_inputs: dict[str, str]
+    :ivar flow_run_output_directory:
+    :vartype flow_run_output_directory: str
+    :ivar connection_overrides:
+    :vartype connection_overrides: list[~flow.models.ConnectionOverrideSetting]
     :ivar flow_run_display_name:
     :vartype flow_run_display_name: str
     :ivar description:
@@ -18188,19 +18656,14 @@ class FlowRunSettingsBase(msrest.serialization.Model):
     :vartype promptflow_engine_type: str or ~flow.models.PromptflowEngineType
     :ivar experiment_node_name:
     :vartype experiment_node_name: str
-    :ivar batch_inputs:
-    :vartype batch_inputs: list[dict[str, any]]
-    :ivar input_universal_link:
-    :vartype input_universal_link: str
-    :ivar data_inputs: This is a dictionary.
-    :vartype data_inputs: dict[str, str]
-    :ivar flow_run_output_directory:
-    :vartype flow_run_output_directory: str
-    :ivar connection_overrides:
-    :vartype connection_overrides: list[~flow.models.ConnectionOverrideSetting]
     """
 
     _attribute_map = {
+        'batch_inputs': {'key': 'batch_inputs', 'type': '[{object}]'},
+        'input_universal_link': {'key': 'inputUniversalLink', 'type': 'str'},
+        'data_inputs': {'key': 'dataInputs', 'type': '{str}'},
+        'flow_run_output_directory': {'key': 'flowRunOutputDirectory', 'type': 'str'},
+        'connection_overrides': {'key': 'connectionOverrides', 'type': '[ConnectionOverrideSetting]'},
         'flow_run_display_name': {'key': 'flowRunDisplayName', 'type': 'str'},
         'description': {'key': 'description', 'type': 'str'},
         'tags': {'key': 'tags', 'type': '{str}'},
@@ -18217,11 +18680,6 @@ class FlowRunSettingsBase(msrest.serialization.Model):
         'timeout_in_seconds': {'key': 'timeoutInSeconds', 'type': 'int'},
         'promptflow_engine_type': {'key': 'promptflowEngineType', 'type': 'str'},
         'experiment_node_name': {'key': 'experimentNodeName', 'type': 'str'},
-        'batch_inputs': {'key': 'batch_inputs', 'type': '[{object}]'},
-        'input_universal_link': {'key': 'inputUniversalLink', 'type': 'str'},
-        'data_inputs': {'key': 'dataInputs', 'type': '{str}'},
-        'flow_run_output_directory': {'key': 'flowRunOutputDirectory', 'type': 'str'},
-        'connection_overrides': {'key': 'connectionOverrides', 'type': '[ConnectionOverrideSetting]'},
     }
 
     def __init__(
@@ -18229,6 +18687,16 @@ def __init__(
         **kwargs
     ):
         """
+        :keyword batch_inputs:
+        :paramtype batch_inputs: list[dict[str, any]]
+        :keyword input_universal_link:
+        :paramtype input_universal_link: str
+        :keyword data_inputs: This is a dictionary.
+        :paramtype data_inputs: dict[str, str]
+        :keyword flow_run_output_directory:
+        :paramtype flow_run_output_directory: str
+        :keyword connection_overrides:
+        :paramtype connection_overrides: list[~flow.models.ConnectionOverrideSetting]
         :keyword flow_run_display_name:
         :paramtype flow_run_display_name: str
         :keyword description:
@@ -18262,18 +18730,13 @@ def __init__(
         :paramtype promptflow_engine_type: str or ~flow.models.PromptflowEngineType
         :keyword experiment_node_name:
         :paramtype experiment_node_name: str
-        :keyword batch_inputs:
-        :paramtype batch_inputs: list[dict[str, any]]
-        :keyword input_universal_link:
-        :paramtype input_universal_link: str
-        :keyword data_inputs: This is a dictionary.
-        :paramtype data_inputs: dict[str, str]
-        :keyword flow_run_output_directory:
-        :paramtype flow_run_output_directory: str
-        :keyword connection_overrides:
-        :paramtype connection_overrides: list[~flow.models.ConnectionOverrideSetting]
         """
         super(FlowRunSettingsBase, self).__init__(**kwargs)
+        self.batch_inputs = kwargs.get('batch_inputs', None)
+        self.input_universal_link = kwargs.get('input_universal_link', None)
+        self.data_inputs = kwargs.get('data_inputs', None)
+        self.flow_run_output_directory = kwargs.get('flow_run_output_directory', None)
+        self.connection_overrides = kwargs.get('connection_overrides', None)
         self.flow_run_display_name = kwargs.get('flow_run_display_name', None)
         self.description = kwargs.get('description', None)
         self.tags = kwargs.get('tags', None)
@@ -18290,11 +18753,6 @@ def __init__(
         self.timeout_in_seconds = kwargs.get('timeout_in_seconds', None)
         self.promptflow_engine_type = kwargs.get('promptflow_engine_type', None)
         self.experiment_node_name = kwargs.get('experiment_node_name', None)
-        self.batch_inputs = kwargs.get('batch_inputs', None)
-        self.input_universal_link = kwargs.get('input_universal_link', None)
-        self.data_inputs = kwargs.get('data_inputs', None)
-        self.flow_run_output_directory = kwargs.get('flow_run_output_directory', None)
-        self.connection_overrides = kwargs.get('connection_overrides', None)
 
 
 class FlowRunStatusResponse(msrest.serialization.Model):
@@ -18760,8 +19218,6 @@ class FlowSnapshot(msrest.serialization.Model):
     :vartype environment_variables: dict[str, any]
     :ivar language: Possible values include: "Python", "CSharp", "TypeScript", "JavaScript".
     :vartype language: str or ~flow.models.FlowLanguage
-    :ivar path:
-    :vartype path: str
     :ivar entry:
     :vartype entry: str
     """
@@ -18774,7 +19230,6 @@ class FlowSnapshot(msrest.serialization.Model):
         'environment': {'key': 'environment', 'type': 'FlowEnvironment'},
         'environment_variables': {'key': 'environment_variables', 'type': '{object}'},
         'language': {'key': 'language', 'type': 'str'},
-        'path': {'key': 'path', 'type': 'str'},
         'entry': {'key': 'entry', 'type': 'str'},
     }
 
@@ -18797,8 +19252,6 @@ def __init__(
         :paramtype environment_variables: dict[str, any]
         :keyword language: Possible values include: "Python", "CSharp", "TypeScript", "JavaScript".
         :paramtype language: str or ~flow.models.FlowLanguage
-        :keyword path:
-        :paramtype path: str
         :keyword entry:
         :paramtype entry: str
         """
@@ -18810,7 +19263,6 @@ def __init__(
         self.environment = kwargs.get('environment', None)
         self.environment_variables = kwargs.get('environment_variables', None)
         self.language = kwargs.get('language', None)
-        self.path = kwargs.get('path', None)
         self.entry = kwargs.get('entry', None)
 
 
@@ -21532,7 +21984,7 @@ class InputDefinition(msrest.serialization.Model):
     :ivar description:
     :vartype description: str
     :ivar enum:
-    :vartype enum: list[str]
+    :vartype enum: list[any]
     :ivar enabled_by:
     :vartype enabled_by: str
     :ivar enabled_by_type:
@@ -21564,7 +22016,7 @@ class InputDefinition(msrest.serialization.Model):
         'type': {'key': 'type', 'type': '[str]'},
         'default': {'key': 'default', 'type': 'object'},
         'description': {'key': 'description', 'type': 'str'},
-        'enum': {'key': 'enum', 'type': '[str]'},
+        'enum': {'key': 'enum', 'type': '[object]'},
         'enabled_by': {'key': 'enabled_by', 'type': 'str'},
         'enabled_by_type': {'key': 'enabled_by_type', 'type': '[str]'},
         'enabled_by_value': {'key': 'enabled_by_value', 'type': '[object]'},
@@ -21593,7 +22045,7 @@ def __init__(
         :keyword description:
         :paramtype description: str
         :keyword enum:
-        :paramtype enum: list[str]
+        :paramtype enum: list[any]
         :keyword enabled_by:
         :paramtype enabled_by: str
         :keyword enabled_by_type:
@@ -34483,6 +34935,53 @@ def __init__(
         self.last_alive_time = kwargs.get('last_alive_time', None)
 
 
+class SessionRuntimeResources(msrest.serialization.Model):
+    """SessionRuntimeResources.
+
+    :ivar vm_size:
+    :vartype vm_size: str
+    :ivar max_idle_time_seconds:
+    :vartype max_idle_time_seconds: long
+    :ivar identity:
+    :vartype identity: str
+    :ivar compute_name:
+    :vartype compute_name: str
+    :ivar enable_multi_container:
+    :vartype enable_multi_container: bool
+    """
+
+    _attribute_map = {
+        'vm_size': {'key': 'vmSize', 'type': 'str'},
+        'max_idle_time_seconds': {'key': 'maxIdleTimeSeconds', 'type': 'long'},
+        'identity': {'key': 'identity', 'type': 'str'},
+        'compute_name': {'key': 'computeName', 'type': 'str'},
+        'enable_multi_container': {'key': 'enableMultiContainer', 'type': 'bool'},
+    }
+
+    def __init__(
+        self,
+        **kwargs
+    ):
+        """
+        :keyword vm_size:
+        :paramtype vm_size: str
+        :keyword max_idle_time_seconds:
+        :paramtype max_idle_time_seconds: long
+        :keyword identity:
+        :paramtype identity: str
+        :keyword compute_name:
+        :paramtype compute_name: str
+        :keyword enable_multi_container:
+        :paramtype enable_multi_container: bool
+        """
+        super(SessionRuntimeResources, self).__init__(**kwargs)
+        self.vm_size = kwargs.get('vm_size', None)
+        self.max_idle_time_seconds = kwargs.get('max_idle_time_seconds', None)
+        self.identity = kwargs.get('identity', None)
+        self.compute_name = kwargs.get('compute_name', None)
+        self.enable_multi_container = kwargs.get('enable_multi_container', None)
+
+
 class SetupFlowSessionRequest(msrest.serialization.Model):
     """SetupFlowSessionRequest.
 
@@ -36751,6 +37250,35 @@ def __init__(
         self.variant_run_to_evaluation_runs_id_mapping = kwargs.get('variant_run_to_evaluation_runs_id_mapping', None)
 
 
+class SubmitExperimentRequest(msrest.serialization.Model):
+    """SubmitExperimentRequest.
+
+    :ivar experiment_template_id:
+    :vartype experiment_template_id: str
+    :ivar experiment_definition_source:
+    :vartype experiment_definition_source: ~flow.models.ExperimentDefinitionSource
+    """
+
+    _attribute_map = {
+        'experiment_template_id': {'key': 'experimentTemplateId', 'type': 'str'},
+        'experiment_definition_source': {'key': 'experimentDefinitionSource', 'type': 'ExperimentDefinitionSource'},
+    }
+
+    def __init__(
+        self,
+        **kwargs
+    ):
+        """
+        :keyword experiment_template_id:
+        :paramtype experiment_template_id: str
+        :keyword experiment_definition_source:
+        :paramtype experiment_definition_source: ~flow.models.ExperimentDefinitionSource
+        """
+        super(SubmitExperimentRequest, self).__init__(**kwargs)
+        self.experiment_template_id = kwargs.get('experiment_template_id', None)
+        self.experiment_definition_source = kwargs.get('experiment_definition_source', None)
+
+
 class SubmitFlowRequest(msrest.serialization.Model):
     """SubmitFlowRequest.
 
@@ -37872,7 +38400,7 @@ class Tool(msrest.serialization.Model):
     :vartype enable_kwargs: bool
     :ivar deprecated_tools:
     :vartype deprecated_tools: list[str]
-    :ivar tool_state: Possible values include: "Stable", "Preview", "Deprecated".
+    :ivar tool_state: Possible values include: "Stable", "Preview", "Deprecated", "Archived".
     :vartype tool_state: str or ~flow.models.ToolState
     """
 
@@ -37958,7 +38486,7 @@ def __init__(
         :paramtype enable_kwargs: bool
         :keyword deprecated_tools:
         :paramtype deprecated_tools: list[str]
-        :keyword tool_state: Possible values include: "Stable", "Preview", "Deprecated".
+        :keyword tool_state: Possible values include: "Stable", "Preview", "Deprecated", "Archived".
         :paramtype tool_state: str or ~flow.models.ToolState
         """
         super(Tool, self).__init__(**kwargs)
diff --git a/src/promptflow/promptflow/azure/_restclient/flow/models/_models_py3.py b/src/promptflow-azure/promptflow/azure/_restclient/flow/models/_models_py3.py
similarity index 98%
rename from src/promptflow/promptflow/azure/_restclient/flow/models/_models_py3.py
rename to src/promptflow-azure/promptflow/azure/_restclient/flow/models/_models_py3.py
index 4ab05dae203..6a1748949ba 100644
--- a/src/promptflow/promptflow/azure/_restclient/flow/models/_models_py3.py
+++ b/src/promptflow-azure/promptflow/azure/_restclient/flow/models/_models_py3.py
@@ -9051,8 +9051,7 @@ class AssetVersionPublishRequest(msrest.serialization.Model):
     """AssetVersionPublishRequest.
 
     :ivar asset_type: Possible values include: "Component", "Model", "Environment", "Dataset",
-     "DataStore", "SampleGraph", "FlowTool", "FlowToolSetting", "FlowConnection", "FlowSample",
-     "FlowRuntimeSpec".
+     "DataStore", "SampleGraph", "FlowToolSetting", "FlowConnection", "FlowRuntimeSpec".
     :vartype asset_type: str or ~flow.models.AssetType
     :ivar asset_source_type: Possible values include: "Unknown", "Local", "GithubFile",
      "GithubFolder", "DevopsArtifactsZip".
@@ -9105,8 +9104,7 @@ def __init__(
     ):
         """
         :keyword asset_type: Possible values include: "Component", "Model", "Environment", "Dataset",
-         "DataStore", "SampleGraph", "FlowTool", "FlowToolSetting", "FlowConnection", "FlowSample",
-         "FlowRuntimeSpec".
+         "DataStore", "SampleGraph", "FlowToolSetting", "FlowConnection", "FlowRuntimeSpec".
         :paramtype asset_type: str or ~flow.models.AssetType
         :keyword asset_source_type: Possible values include: "Unknown", "Local", "GithubFile",
          "GithubFolder", "DevopsArtifactsZip".
@@ -10364,6 +10362,115 @@ def __init__(
         self.batch_data_input = batch_data_input
 
 
+class ChatGroupRole(msrest.serialization.Model):
+    """ChatGroupRole.
+
+    :ivar name:
+    :vartype name: str
+    :ivar role:
+    :vartype role: str
+    :ivar stop_signal:
+    :vartype stop_signal: str
+    :ivar path:
+    :vartype path: str
+    :ivar variant:
+    :vartype variant: str
+    :ivar connections: This is a dictionary.
+    :vartype connections: dict[str, dict[str, str]]
+    :ivar environment_variables: This is a dictionary.
+    :vartype environment_variables: dict[str, str]
+    :ivar display_name:
+    :vartype display_name: str
+    :ivar description:
+    :vartype description: str
+    :ivar tags: A set of tags. This is a dictionary.
+    :vartype tags: dict[str, str]
+    :ivar properties: This is a dictionary.
+    :vartype properties: dict[str, str]
+    :ivar resources:
+    :vartype resources: ~flow.models.SessionRuntimeResources
+    :ivar inputs: Dictionary of :code:`<any>`.
+    :vartype inputs: dict[str, any]
+    """
+
+    _attribute_map = {
+        'name': {'key': 'name', 'type': 'str'},
+        'role': {'key': 'role', 'type': 'str'},
+        'stop_signal': {'key': 'stop_signal', 'type': 'str'},
+        'path': {'key': 'path', 'type': 'str'},
+        'variant': {'key': 'variant', 'type': 'str'},
+        'connections': {'key': 'connections', 'type': '{{str}}'},
+        'environment_variables': {'key': 'environment_variables', 'type': '{str}'},
+        'display_name': {'key': 'display_name', 'type': 'str'},
+        'description': {'key': 'description', 'type': 'str'},
+        'tags': {'key': 'tags', 'type': '{str}'},
+        'properties': {'key': 'properties', 'type': '{str}'},
+        'resources': {'key': 'resources', 'type': 'SessionRuntimeResources'},
+        'inputs': {'key': 'inputs', 'type': '{object}'},
+    }
+
+    def __init__(
+        self,
+        *,
+        name: Optional[str] = None,
+        role: Optional[str] = None,
+        stop_signal: Optional[str] = None,
+        path: Optional[str] = None,
+        variant: Optional[str] = None,
+        connections: Optional[Dict[str, Dict[str, str]]] = None,
+        environment_variables: Optional[Dict[str, str]] = None,
+        display_name: Optional[str] = None,
+        description: Optional[str] = None,
+        tags: Optional[Dict[str, str]] = None,
+        properties: Optional[Dict[str, str]] = None,
+        resources: Optional["SessionRuntimeResources"] = None,
+        inputs: Optional[Dict[str, Any]] = None,
+        **kwargs
+    ):
+        """
+        :keyword name:
+        :paramtype name: str
+        :keyword role:
+        :paramtype role: str
+        :keyword stop_signal:
+        :paramtype stop_signal: str
+        :keyword path:
+        :paramtype path: str
+        :keyword variant:
+        :paramtype variant: str
+        :keyword connections: This is a dictionary.
+        :paramtype connections: dict[str, dict[str, str]]
+        :keyword environment_variables: This is a dictionary.
+        :paramtype environment_variables: dict[str, str]
+        :keyword display_name:
+        :paramtype display_name: str
+        :keyword description:
+        :paramtype description: str
+        :keyword tags: A set of tags. This is a dictionary.
+        :paramtype tags: dict[str, str]
+        :keyword properties: This is a dictionary.
+        :paramtype properties: dict[str, str]
+        :keyword resources:
+        :paramtype resources: ~flow.models.SessionRuntimeResources
+        :keyword inputs: Dictionary of :code:`<any>`.
+        :paramtype inputs: dict[str, any]
+        """
+        super(ChatGroupRole, self).__init__(**kwargs)
+        self.name = name
+        self.role = role
+        self.stop_signal = stop_signal
+        self.path = path
+        self.variant = variant
+        self.connections = connections
+        self.environment_variables = environment_variables
+        self.display_name = display_name
+        self.description = description
+        self.tags = tags
+        self.properties = properties
+        self.resources = resources
+        self.inputs = inputs
+
+
 class CloudError(msrest.serialization.Model):
     """CloudError.
 
@@ -13054,6 +13161,31 @@ def __init__(
         self.location = location
 
 
+class CreateExperimentTemplateRequest(msrest.serialization.Model):
+    """CreateExperimentTemplateRequest.
+
+    :ivar experiment_definition_source:
+    :vartype experiment_definition_source: ~flow.models.ExperimentDefinitionSource
+    """
+
+    _attribute_map = {
+        'experiment_definition_source': {'key': 'experimentDefinitionSource', 'type': 'ExperimentDefinitionSource'},
+    }
+
+    def __init__(
+        self,
+        *,
+        experiment_definition_source: Optional["ExperimentDefinitionSource"] = None,
+        **kwargs
+    ):
+        """
+        :keyword experiment_definition_source:
+        :paramtype experiment_definition_source: ~flow.models.ExperimentDefinitionSource
+        """
+        super(CreateExperimentTemplateRequest, self).__init__(**kwargs)
+        self.experiment_definition_source = experiment_definition_source
+
+
 class CreateFlowRequest(msrest.serialization.Model):
     """CreateFlowRequest.
 
@@ -18185,6 +18317,130 @@ def __init__(
         self.compute_type = compute_type
 
 
+class ExperimentData(msrest.serialization.Model):
+    """ExperimentData.
+
+    :ivar name:
+    :vartype name: str
+    :ivar path:
+    :vartype path: str
+    """
+
+    _attribute_map = {
+        'name': {'key': 'name', 'type': 'str'},
+        'path': {'key': 'path', 'type': 'str'},
+    }
+
+    def __init__(
+        self,
+        *,
+        name: Optional[str] = None,
+        path: Optional[str] = None,
+        **kwargs
+    ):
+        """
+        :keyword name:
+        :paramtype name: str
+        :keyword path:
+        :paramtype path: str
+        """
+        super(ExperimentData, self).__init__(**kwargs)
+        self.name = name
+        self.path = path
+
+
+class ExperimentDefinition(msrest.serialization.Model):
+    """ExperimentDefinition.
+
+    :ivar name:
+    :vartype name: str
+    :ivar description:
+    :vartype description: str
+    :ivar inputs:
+    :vartype inputs: list[~flow.models.FlowInputDefinition]
+    :ivar data:
+    :vartype data: list[~flow.models.ExperimentData]
+    :ivar nodes:
+    :vartype nodes: list[~flow.models.ExperimentNode]
+    """
+
+    _attribute_map = {
+        'name': {'key': 'name', 'type': 'str'},
+        'description': {'key': 'description', 'type': 'str'},
+        'inputs': {'key': 'inputs', 'type': '[FlowInputDefinition]'},
+        'data': {'key': 'data', 'type': '[ExperimentData]'},
+        'nodes': {'key': 'nodes', 'type': '[ExperimentNode]'},
+    }
+
+    def __init__(
+        self,
+        *,
+        name: Optional[str] = None,
+        description: Optional[str] = None,
+        inputs: Optional[List["FlowInputDefinition"]] = None,
+        data: Optional[List["ExperimentData"]] = None,
+        nodes: Optional[List["ExperimentNode"]] = None,
+        **kwargs
+    ):
+        """
+        :keyword name:
+        :paramtype name: str
+        :keyword description:
+        :paramtype description: str
+        :keyword inputs:
+        :paramtype inputs: list[~flow.models.FlowInputDefinition]
+        :keyword data:
+        :paramtype data: list[~flow.models.ExperimentData]
+        :keyword nodes:
+        :paramtype nodes: list[~flow.models.ExperimentNode]
+        """
+        super(ExperimentDefinition, self).__init__(**kwargs)
+        self.name = name
+        self.description = description
+        self.inputs = inputs
+        self.data = data
+        self.nodes = nodes
+
+
+class ExperimentDefinitionSource(msrest.serialization.Model):
+    """ExperimentDefinitionSource.
+
+    :ivar source_type: Possible values include: "DataUri", "Definition".
+    :vartype source_type: str or ~flow.models.ExperimentDefinitionSourceType
+    :ivar experiment_definition_data_uri:
+    :vartype experiment_definition_data_uri: str
+    :ivar experiment_definition:
+    :vartype experiment_definition: ~flow.models.ExperimentDefinition
+    """
+
+    _attribute_map = {
+        'source_type': {'key': 'sourceType', 'type': 'str'},
+        'experiment_definition_data_uri': {'key': 'experimentDefinitionDataUri', 'type': 'str'},
+        'experiment_definition': {'key': 'experimentDefinition', 'type': 'ExperimentDefinition'},
+    }
+
+    def __init__(
+        self,
+        *,
+        source_type: Optional[Union[str, "ExperimentDefinitionSourceType"]] = None,
+        experiment_definition_data_uri: Optional[str] = None,
+        experiment_definition: Optional["ExperimentDefinition"] = None,
+        **kwargs
+    ):
+        """
+        :keyword source_type: Possible values include: "DataUri", "Definition".
+        :paramtype source_type: str or ~flow.models.ExperimentDefinitionSourceType
+        :keyword experiment_definition_data_uri:
+        :paramtype experiment_definition_data_uri: str
+        :keyword experiment_definition:
+        :paramtype experiment_definition: ~flow.models.ExperimentDefinition
+        """
+        super(ExperimentDefinitionSource, self).__init__(**kwargs)
+        self.source_type = source_type
+        self.experiment_definition_data_uri = experiment_definition_data_uri
+        self.experiment_definition = experiment_definition
+
+
 class ExperimentInfo(msrest.serialization.Model):
     """ExperimentInfo.
 
@@ -18217,6 +18473,203 @@ def __init__(
         self.experiment_id = experiment_id
 
 
+class ExperimentNode(msrest.serialization.Model):
+    """ExperimentNode.
+
+    :ivar name:
+    :vartype name: str
+    :ivar type: Possible values include: "Flow", "ChatGroup".
+    :vartype type: str or ~flow.models.ExperimentNodeType
+    :ivar max_turns:
+    :vartype max_turns: int
+    :ivar roles:
+    :vartype roles: list[~flow.models.ChatGroupRole]
+    :ivar path:
+    :vartype path: str
+    :ivar variant:
+    :vartype variant: str
+    :ivar connections: This is a dictionary.
+    :vartype connections: dict[str, dict[str, str]]
+    :ivar environment_variables: This is a dictionary.
+    :vartype environment_variables: dict[str, str]
+    :ivar display_name:
+    :vartype display_name: str
+    :ivar description:
+    :vartype description: str
+    :ivar tags: A set of tags. This is a dictionary.
+    :vartype tags: dict[str, str]
+    :ivar properties: This is a dictionary.
+    :vartype properties: dict[str, str]
+    :ivar resources:
+    :vartype resources: ~flow.models.SessionRuntimeResources
+    :ivar inputs: Dictionary of :code:`<any>`.
+    :vartype inputs: dict[str, any]
+    """
+
+    _attribute_map = {
+        'name': {'key': 'name', 'type': 'str'},
+        'type': {'key': 'type', 'type': 'str'},
+        'max_turns': {'key': 'max_turns', 'type': 'int'},
+        'roles': {'key': 'roles', 'type': '[ChatGroupRole]'},
+        'path': {'key': 'path', 'type': 'str'},
+        'variant': {'key': 'variant', 'type': 'str'},
+        'connections': {'key': 'connections', 'type': '{{str}}'},
+        'environment_variables': {'key': 'environment_variables', 'type': '{str}'},
+        'display_name': {'key': 'display_name', 'type': 'str'},
+        'description': {'key': 'description', 'type': 'str'},
+        'tags': {'key': 'tags', 'type': '{str}'},
+        'properties': {'key': 'properties', 'type': '{str}'},
+        'resources': {'key': 'resources', 'type': 'SessionRuntimeResources'},
+        'inputs': {'key': 'inputs', 'type': '{object}'},
+    }
+
+    def __init__(
+        self,
+        *,
+        name: Optional[str] = None,
+        type: Optional[Union[str, "ExperimentNodeType"]] = None,
+        max_turns: Optional[int] = None,
+        roles: Optional[List["ChatGroupRole"]] = None,
+        path: Optional[str] = None,
+        variant: Optional[str] = None,
+        connections: Optional[Dict[str, Dict[str, str]]] = None,
+        environment_variables: Optional[Dict[str, str]] = None,
+        display_name: Optional[str] = None,
+        description: Optional[str] = None,
+        tags: Optional[Dict[str, str]] = None,
+        properties: Optional[Dict[str, str]] = None,
+        resources: Optional["SessionRuntimeResources"] = None,
+        inputs: Optional[Dict[str, Any]] = None,
+        **kwargs
+    ):
+        """
+        :keyword name:
+        :paramtype name: str
+        :keyword type: Possible values include: "Flow", "ChatGroup".
+        :paramtype type: str or ~flow.models.ExperimentNodeType
+        :keyword max_turns:
+        :paramtype max_turns: int
+        :keyword roles:
+        :paramtype roles: list[~flow.models.ChatGroupRole]
+        :keyword path:
+        :paramtype path: str
+        :keyword variant:
+        :paramtype variant: str
+        :keyword connections: This is a dictionary.
+        :paramtype connections: dict[str, dict[str, str]]
+        :keyword environment_variables: This is a dictionary.
+        :paramtype environment_variables: dict[str, str]
+        :keyword display_name:
+        :paramtype display_name: str
+        :keyword description:
+        :paramtype description: str
+        :keyword tags: A set of tags. This is a dictionary.
+        :paramtype tags: dict[str, str]
+        :keyword properties: This is a dictionary.
+        :paramtype properties: dict[str, str]
+        :keyword resources:
+        :paramtype resources: ~flow.models.SessionRuntimeResources
+        :keyword inputs: Dictionary of :code:`<any>`.
+        :paramtype inputs: dict[str, any]
+        """
+        super(ExperimentNode, self).__init__(**kwargs)
+        self.name = name
+        self.type = type
+        self.max_turns = max_turns
+        self.roles = roles
+        self.path = path
+        self.variant = variant
+        self.connections = connections
+        self.environment_variables = environment_variables
+        self.display_name = display_name
+        self.description = description
+        self.tags = tags
+        self.properties = properties
+        self.resources = resources
+        self.inputs = inputs
+
+
+class ExperimentTemplateDto(msrest.serialization.Model):
+    """ExperimentTemplateDto.
+
+    :ivar id:
+    :vartype id: str
+    :ivar created_date:
+    :vartype created_date: ~datetime.datetime
+    :ivar last_modified_date:
+    :vartype last_modified_date: ~datetime.datetime
+    :ivar owner:
+    :vartype owner: ~flow.models.SchemaContractsCreatedBy
+    :ivar name:
+    :vartype name: str
+    :ivar description:
+    :vartype description: str
+    :ivar inputs:
+    :vartype inputs: list[~flow.models.FlowInputDefinition]
+    :ivar data:
+    :vartype data: list[~flow.models.ExperimentData]
+    :ivar nodes:
+    :vartype nodes: list[~flow.models.ExperimentNode]
+    """
+
+    _attribute_map = {
+        'id': {'key': 'id', 'type': 'str'},
+        'created_date': {'key': 'createdDate', 'type': 'iso-8601'},
+        'last_modified_date': {'key': 'lastModifiedDate', 'type': 'iso-8601'},
+        'owner': {'key': 'owner', 'type': 'SchemaContractsCreatedBy'},
+        'name': {'key': 'name', 'type': 'str'},
+        'description': {'key': 'description', 'type': 'str'},
+        'inputs': {'key': 'inputs', 'type': '[FlowInputDefinition]'},
+        'data': {'key': 'data', 'type': '[ExperimentData]'},
+        'nodes': {'key': 'nodes', 'type': '[ExperimentNode]'},
+    }
+
+    def __init__(
+        self,
+        *,
+        id: Optional[str] = None,
+        created_date: Optional[datetime.datetime] = None,
+        last_modified_date: Optional[datetime.datetime] = None,
+        owner: Optional["SchemaContractsCreatedBy"] = None,
+        name: Optional[str] = None,
+        description: Optional[str] = None,
+        inputs: Optional[List["FlowInputDefinition"]] = None,
+        data: Optional[List["ExperimentData"]] = None,
+        nodes: Optional[List["ExperimentNode"]] = None,
+        **kwargs
+    ):
+        """
+        :keyword id:
+        :paramtype id: str
+        :keyword created_date:
+        :paramtype created_date: ~datetime.datetime
+        :keyword last_modified_date:
+        :paramtype last_modified_date: ~datetime.datetime
+        :keyword owner:
+        :paramtype owner: ~flow.models.SchemaContractsCreatedBy
+        :keyword name:
+        :paramtype name: str
+        :keyword description:
+        :paramtype description: str
+        :keyword inputs:
+        :paramtype inputs: list[~flow.models.FlowInputDefinition]
+        :keyword data:
+        :paramtype data: list[~flow.models.ExperimentData]
+        :keyword nodes:
+        :paramtype nodes: list[~flow.models.ExperimentNode]
+        """
+        super(ExperimentTemplateDto, self).__init__(**kwargs)
+        self.id = id
+        self.created_date = created_date
+        self.last_modified_date = last_modified_date
+        self.owner = owner
+        self.name = name
+        self.description = description
+        self.inputs = inputs
+        self.data = data
+        self.nodes = nodes
+
+
 class ExportComponentMetaInfo(msrest.serialization.Model):
     """ExportComponentMetaInfo.
 
@@ -18732,6 +19185,8 @@ class FlowBaseDto(msrest.serialization.Model):
     :vartype max_idle_time_seconds: long
     :ivar identity:
     :vartype identity: str
+    :ivar flow_diagnostics:
+    :vartype flow_diagnostics: ~flow.models.FlowDiagnostics
     """
 
     _attribute_map = {
@@ -18750,6 +19205,7 @@ class FlowBaseDto(msrest.serialization.Model):
         'vm_size': {'key': 'vmSize', 'type': 'str'},
         'max_idle_time_seconds': {'key': 'maxIdleTimeSeconds', 'type': 'long'},
         'identity': {'key': 'identity', 'type': 'str'},
+        'flow_diagnostics': {'key': 'flowDiagnostics', 'type': 'FlowDiagnostics'},
     }
 
     def __init__(
@@ -18770,6 +19226,7 @@ def __init__(
         vm_size: Optional[str] = None,
         max_idle_time_seconds: Optional[int] = None,
         identity: Optional[str] = None,
+        flow_diagnostics: Optional["FlowDiagnostics"] = None,
         **kwargs
     ):
         """
@@ -18803,6 +19260,8 @@ def __init__(
         :paramtype max_idle_time_seconds: long
         :keyword identity:
         :paramtype identity: str
+        :keyword flow_diagnostics:
+        :paramtype flow_diagnostics: ~flow.models.FlowDiagnostics
         """
         super(FlowBaseDto, self).__init__(**kwargs)
         self.flow_id = flow_id
@@ -18820,6 +19279,60 @@ def __init__(
         self.vm_size = vm_size
         self.max_idle_time_seconds = max_idle_time_seconds
         self.identity = identity
+        self.flow_diagnostics = flow_diagnostics
+
+
+class FlowDiagnostics(msrest.serialization.Model):
+    """FlowDiagnostics.
+
+    :ivar datastore:
+    :vartype datastore: str
+    :ivar artifact_origin:
+    :vartype artifact_origin: str
+    :ivar container:
+    :vartype container: str
+    :ivar session_log_relative_path:
+    :vartype session_log_relative_path: str
+    :ivar session_artifact_id:
+    :vartype session_artifact_id: str
+    """
+
+    _attribute_map = {
+        'datastore': {'key': 'datastore', 'type': 'str'},
+        'artifact_origin': {'key': 'artifactOrigin', 'type': 'str'},
+        'container': {'key': 'container', 'type': 'str'},
+        'session_log_relative_path': {'key': 'sessionLogRelativePath', 'type': 'str'},
+        'session_artifact_id': {'key': 'sessionArtifactId', 'type': 'str'},
+    }
+
+    def __init__(
+        self,
+        *,
+        datastore: Optional[str] = None,
+        artifact_origin: Optional[str] = None,
+        container: Optional[str] = None,
+        session_log_relative_path: Optional[str] = None,
+        session_artifact_id: Optional[str] = None,
+        **kwargs
+    ):
+        """
+        :keyword datastore:
+        :paramtype datastore: str
+        :keyword artifact_origin:
+        :paramtype artifact_origin: str
+        :keyword container:
+        :paramtype container: str
+        :keyword session_log_relative_path:
+        :paramtype session_log_relative_path: str
+        :keyword session_artifact_id:
+        :paramtype session_artifact_id: str
+        """
+        super(FlowDiagnostics, self).__init__(**kwargs)
+        self.datastore = datastore
+        self.artifact_origin = artifact_origin
+        self.container = container
+        self.session_log_relative_path = session_log_relative_path
+        self.session_artifact_id = session_artifact_id
 
 
 class FlowDto(msrest.serialization.Model):
@@ -18871,6 +19384,8 @@ class FlowDto(msrest.serialization.Model):
     :vartype max_idle_time_seconds: long
     :ivar identity:
     :vartype identity: str
+    :ivar flow_diagnostics:
+    :vartype flow_diagnostics: ~flow.models.FlowDiagnostics
     """
 
     _attribute_map = {
@@ -18897,6 +19412,7 @@ class FlowDto(msrest.serialization.Model):
         'vm_size': {'key': 'vmSize', 'type': 'str'},
         'max_idle_time_seconds': {'key': 'maxIdleTimeSeconds', 'type': 'long'},
         'identity': {'key': 'identity', 'type': 'str'},
+        'flow_diagnostics': {'key': 'flowDiagnostics', 'type': 'FlowDiagnostics'},
     }
 
     def __init__(
@@ -18925,6 +19441,7 @@ def __init__(
         vm_size: Optional[str] = None,
         max_idle_time_seconds: Optional[int] = None,
         identity: Optional[str] = None,
+        flow_diagnostics: Optional["FlowDiagnostics"] = None,
         **kwargs
     ):
         """
@@ -18974,6 +19491,8 @@ def __init__(
         :paramtype max_idle_time_seconds: long
         :keyword identity:
         :paramtype identity: str
+        :keyword flow_diagnostics:
+        :paramtype flow_diagnostics: ~flow.models.FlowDiagnostics
         """
         super(FlowDto, self).__init__(**kwargs)
         self.timestamp = timestamp
@@ -18999,6 +19518,7 @@ def __init__(
         self.vm_size = vm_size
         self.max_idle_time_seconds = max_idle_time_seconds
         self.identity = identity
+        self.flow_diagnostics = flow_diagnostics
 
 
 class FlowEnvironment(msrest.serialization.Model):
@@ -20502,6 +21022,16 @@ def __init__(
 class FlowRunSettingsBase(msrest.serialization.Model):
     """FlowRunSettingsBase.
 
+    :ivar batch_inputs:
+    :vartype batch_inputs: list[dict[str, any]]
+    :ivar input_universal_link:
+    :vartype input_universal_link: str
+    :ivar data_inputs: This is a dictionary.
+    :vartype data_inputs: dict[str, str]
+    :ivar flow_run_output_directory:
+    :vartype flow_run_output_directory: str
+    :ivar connection_overrides:
+    :vartype connection_overrides: list[~flow.models.ConnectionOverrideSetting]
     :ivar flow_run_display_name:
     :vartype flow_run_display_name: str
     :ivar description:
@@ -20535,19 +21065,14 @@ class FlowRunSettingsBase(msrest.serialization.Model):
     :vartype promptflow_engine_type: str or ~flow.models.PromptflowEngineType
     :ivar experiment_node_name:
     :vartype experiment_node_name: str
-    :ivar batch_inputs:
-    :vartype batch_inputs: list[dict[str, any]]
-    :ivar input_universal_link:
-    :vartype input_universal_link: str
-    :ivar data_inputs: This is a dictionary.
-    :vartype data_inputs: dict[str, str]
-    :ivar flow_run_output_directory:
-    :vartype flow_run_output_directory: str
-    :ivar connection_overrides:
-    :vartype connection_overrides: list[~flow.models.ConnectionOverrideSetting]
     """
 
     _attribute_map = {
+        'batch_inputs': {'key': 'batch_inputs', 'type': '[{object}]'},
+        'input_universal_link': {'key': 'inputUniversalLink', 'type': 'str'},
+        'data_inputs': {'key': 'dataInputs', 'type': '{str}'},
+        'flow_run_output_directory': {'key': 'flowRunOutputDirectory', 'type': 'str'},
+        'connection_overrides': {'key': 'connectionOverrides', 'type': '[ConnectionOverrideSetting]'},
         'flow_run_display_name': {'key': 'flowRunDisplayName', 'type': 'str'},
         'description': {'key': 'description', 'type': 'str'},
         'tags': {'key': 'tags', 'type': '{str}'},
@@ -20564,16 +21089,16 @@ class FlowRunSettingsBase(msrest.serialization.Model):
         'timeout_in_seconds': {'key': 'timeoutInSeconds', 'type': 'int'},
         'promptflow_engine_type': {'key': 'promptflowEngineType', 'type': 'str'},
         'experiment_node_name': {'key': 'experimentNodeName', 'type': 'str'},
-        'batch_inputs': {'key': 'batch_inputs', 'type': '[{object}]'},
-        'input_universal_link': {'key': 'inputUniversalLink', 'type': 'str'},
-        'data_inputs': {'key': 'dataInputs', 'type': '{str}'},
-        'flow_run_output_directory': {'key': 'flowRunOutputDirectory', 'type': 'str'},
-        'connection_overrides': {'key': 'connectionOverrides', 'type': '[ConnectionOverrideSetting]'},
     }
 
     def __init__(
         self,
         *,
+        batch_inputs: Optional[List[Dict[str, Any]]] = None,
+        input_universal_link: Optional[str] = None,
+        data_inputs: Optional[Dict[str, str]] = None,
+        flow_run_output_directory: Optional[str] = None,
+        connection_overrides: Optional[List["ConnectionOverrideSetting"]] = None,
         flow_run_display_name: Optional[str] = None,
         description: Optional[str] = None,
         tags: Optional[Dict[str, str]] = None,
@@ -20590,14 +21115,19 @@ def __init__(
         timeout_in_seconds: Optional[int] = None,
         promptflow_engine_type: Optional[Union[str, "PromptflowEngineType"]] = None,
         experiment_node_name: Optional[str] = None,
-        batch_inputs: Optional[List[Dict[str, Any]]] = None,
-        input_universal_link: Optional[str] = None,
-        data_inputs: Optional[Dict[str, str]] = None,
-        flow_run_output_directory: Optional[str] = None,
-        connection_overrides: Optional[List["ConnectionOverrideSetting"]] = None,
         **kwargs
     ):
         """
+        :keyword batch_inputs:
+        :paramtype batch_inputs: list[dict[str, any]]
+        :keyword input_universal_link:
+        :paramtype input_universal_link: str
+        :keyword data_inputs: This is a dictionary.
+        :paramtype data_inputs: dict[str, str]
+        :keyword flow_run_output_directory:
+        :paramtype flow_run_output_directory: str
+        :keyword connection_overrides:
+        :paramtype connection_overrides: list[~flow.models.ConnectionOverrideSetting]
         :keyword flow_run_display_name:
         :paramtype flow_run_display_name: str
         :keyword description:
@@ -20631,18 +21161,13 @@ def __init__(
         :paramtype promptflow_engine_type: str or ~flow.models.PromptflowEngineType
         :keyword experiment_node_name:
         :paramtype experiment_node_name: str
-        :keyword batch_inputs:
-        :paramtype batch_inputs: list[dict[str, any]]
-        :keyword input_universal_link:
-        :paramtype input_universal_link: str
-        :keyword data_inputs: This is a dictionary.
-        :paramtype data_inputs: dict[str, str]
-        :keyword flow_run_output_directory:
-        :paramtype flow_run_output_directory: str
-        :keyword connection_overrides:
-        :paramtype connection_overrides: list[~flow.models.ConnectionOverrideSetting]
         """
         super(FlowRunSettingsBase, self).__init__(**kwargs)
+        self.batch_inputs = batch_inputs
+        self.input_universal_link = input_universal_link
+        self.data_inputs = data_inputs
+        self.flow_run_output_directory = flow_run_output_directory
+        self.connection_overrides = connection_overrides
         self.flow_run_display_name = flow_run_display_name
         self.description = description
         self.tags = tags
@@ -20659,11 +21184,6 @@ def __init__(
         self.timeout_in_seconds = timeout_in_seconds
         self.promptflow_engine_type = promptflow_engine_type
         self.experiment_node_name = experiment_node_name
-        self.batch_inputs = batch_inputs
-        self.input_universal_link = input_universal_link
-        self.data_inputs = data_inputs
-        self.flow_run_output_directory = flow_run_output_directory
-        self.connection_overrides = connection_overrides
 
 
 class FlowRunStatusResponse(msrest.serialization.Model):
@@ -21194,8 +21714,6 @@ class FlowSnapshot(msrest.serialization.Model):
     :vartype environment_variables: dict[str, any]
     :ivar language: Possible values include: "Python", "CSharp", "TypeScript", "JavaScript".
     :vartype language: str or ~flow.models.FlowLanguage
-    :ivar path:
-    :vartype path: str
     :ivar entry:
     :vartype entry: str
     """
@@ -21208,7 +21726,6 @@ class FlowSnapshot(msrest.serialization.Model):
         'environment': {'key': 'environment', 'type': 'FlowEnvironment'},
         'environment_variables': {'key': 'environment_variables', 'type': '{object}'},
         'language': {'key': 'language', 'type': 'str'},
-        'path': {'key': 'path', 'type': 'str'},
         'entry': {'key': 'entry', 'type': 'str'},
     }
 
@@ -21222,7 +21739,6 @@ def __init__(
         environment: Optional["FlowEnvironment"] = None,
         environment_variables: Optional[Dict[str, Any]] = None,
         language: Optional[Union[str, "FlowLanguage"]] = None,
-        path: Optional[str] = None,
         entry: Optional[str] = None,
         **kwargs
     ):
@@ -21241,8 +21757,6 @@ def __init__(
         :paramtype environment_variables: dict[str, any]
         :keyword language: Possible values include: "Python", "CSharp", "TypeScript", "JavaScript".
         :paramtype language: str or ~flow.models.FlowLanguage
-        :keyword path:
-        :paramtype path: str
         :keyword entry:
         :paramtype entry: str
         """
@@ -21254,7 +21768,6 @@ def __init__(
         self.environment = environment
         self.environment_variables = environment_variables
         self.language = language
-        self.path = path
         self.entry = entry
 
 
@@ -24335,7 +24848,7 @@ class InputDefinition(msrest.serialization.Model):
     :ivar description:
     :vartype description: str
     :ivar enum:
-    :vartype enum: list[str]
+    :vartype enum: list[any]
     :ivar enabled_by:
     :vartype enabled_by: str
     :ivar enabled_by_type:
@@ -24367,7 +24880,7 @@ class InputDefinition(msrest.serialization.Model):
         'type': {'key': 'type', 'type': '[str]'},
         'default': {'key': 'default', 'type': 'object'},
         'description': {'key': 'description', 'type': 'str'},
-        'enum': {'key': 'enum', 'type': '[str]'},
+        'enum': {'key': 'enum', 'type': '[object]'},
         'enabled_by': {'key': 'enabled_by', 'type': 'str'},
         'enabled_by_type': {'key': 'enabled_by_type', 'type': '[str]'},
         'enabled_by_value': {'key': 'enabled_by_value', 'type': '[object]'},
@@ -24389,7 +24902,7 @@ def __init__(
         type: Optional[List[Union[str, "ValueType"]]] = None,
         default: Optional[Any] = None,
         description: Optional[str] = None,
-        enum: Optional[List[str]] = None,
+        enum: Optional[List[Any]] = None,
         enabled_by: Optional[str] = None,
         enabled_by_type: Optional[List[Union[str, "ValueType"]]] = None,
         enabled_by_value: Optional[List[Any]] = None,
@@ -24414,7 +24927,7 @@ def __init__(
         :keyword description:
         :paramtype description: str
         :keyword enum:
-        :paramtype enum: list[str]
+        :paramtype enum: list[any]
         :keyword enabled_by:
         :paramtype enabled_by: str
         :keyword enabled_by_type:
@@ -39033,6 +39546,59 @@ def __init__(
         self.last_alive_time = last_alive_time
 
 
+class SessionRuntimeResources(msrest.serialization.Model):
+    """SessionRuntimeResources.
+
+    :ivar vm_size:
+    :vartype vm_size: str
+    :ivar max_idle_time_seconds:
+    :vartype max_idle_time_seconds: long
+    :ivar identity:
+    :vartype identity: str
+    :ivar compute_name:
+    :vartype compute_name: str
+    :ivar enable_multi_container:
+    :vartype enable_multi_container: bool
+    """
+
+    _attribute_map = {
+        'vm_size': {'key': 'vmSize', 'type': 'str'},
+        'max_idle_time_seconds': {'key': 'maxIdleTimeSeconds', 'type': 'long'},
+        'identity': {'key': 'identity', 'type': 'str'},
+        'compute_name': {'key': 'computeName', 'type': 'str'},
+        'enable_multi_container': {'key': 'enableMultiContainer', 'type': 'bool'},
+    }
+
+    def __init__(
+        self,
+        *,
+        vm_size: Optional[str] = None,
+        max_idle_time_seconds: Optional[int] = None,
+        identity: Optional[str] = None,
+        compute_name: Optional[str] = None,
+        enable_multi_container: Optional[bool] = None,
+        **kwargs
+    ):
+        """
+        :keyword vm_size:
+        :paramtype vm_size: str
+        :keyword max_idle_time_seconds:
+        :paramtype max_idle_time_seconds: long
+        :keyword identity:
+        :paramtype identity: str
+        :keyword compute_name:
+        :paramtype compute_name: str
+        :keyword enable_multi_container:
+        :paramtype enable_multi_container: bool
+        """
+        super(SessionRuntimeResources, self).__init__(**kwargs)
+        self.vm_size = vm_size
+        self.max_idle_time_seconds = max_idle_time_seconds
+        self.identity = identity
+        self.compute_name = compute_name
+        self.enable_multi_container = enable_multi_container
+
+
 class SetupFlowSessionRequest(msrest.serialization.Model):
     """SetupFlowSessionRequest.
 
@@ -41597,6 +42163,38 @@ def __init__(
         self.variant_run_to_evaluation_runs_id_mapping = variant_run_to_evaluation_runs_id_mapping
 
 
+class SubmitExperimentRequest(msrest.serialization.Model):
+    """SubmitExperimentRequest.
+
+    :ivar experiment_template_id:
+    :vartype experiment_template_id: str
+    :ivar experiment_definition_source:
+    :vartype experiment_definition_source: ~flow.models.ExperimentDefinitionSource
+    """
+
+    _attribute_map = {
+        'experiment_template_id': {'key': 'experimentTemplateId', 'type': 'str'},
+        'experiment_definition_source': {'key': 'experimentDefinitionSource', 'type': 'ExperimentDefinitionSource'},
+    }
+
+    def __init__(
+        self,
+        *,
+        experiment_template_id: Optional[str] = None,
+        experiment_definition_source: Optional["ExperimentDefinitionSource"] = None,
+        **kwargs
+    ):
+        """
+        :keyword experiment_template_id:
+        :paramtype experiment_template_id: str
+        :keyword experiment_definition_source:
+        :paramtype experiment_definition_source: ~flow.models.ExperimentDefinitionSource
+        """
+        super(SubmitExperimentRequest, self).__init__(**kwargs)
+        self.experiment_template_id = experiment_template_id
+        self.experiment_definition_source = experiment_definition_source
+
+
 class SubmitFlowRequest(msrest.serialization.Model):
     """SubmitFlowRequest.
 
@@ -42848,7 +43446,7 @@ class Tool(msrest.serialization.Model):
     :vartype enable_kwargs: bool
     :ivar deprecated_tools:
     :vartype deprecated_tools: list[str]
-    :ivar tool_state: Possible values include: "Stable", "Preview", "Deprecated".
+    :ivar tool_state: Possible values include: "Stable", "Preview", "Deprecated", "Archived".
     :vartype tool_state: str or ~flow.models.ToolState
     """
 
@@ -42960,7 +43558,7 @@ def __init__(
         :paramtype enable_kwargs: bool
         :keyword deprecated_tools:
         :paramtype deprecated_tools: list[str]
-        :keyword tool_state: Possible values include: "Stable", "Preview", "Deprecated".
+        :keyword tool_state: Possible values include: "Stable", "Preview", "Deprecated", "Archived".
         :paramtype tool_state: str or ~flow.models.ToolState
         """
         super(Tool, self).__init__(**kwargs)
diff --git a/src/promptflow/promptflow/azure/_restclient/flow/operations/__init__.py b/src/promptflow-azure/promptflow/azure/_restclient/flow/operations/__init__.py
similarity index 86%
rename from src/promptflow/promptflow/azure/_restclient/flow/operations/__init__.py
rename to src/promptflow-azure/promptflow/azure/_restclient/flow/operations/__init__.py
index ee2ed88a873..c18cf94c582 100644
--- a/src/promptflow/promptflow/azure/_restclient/flow/operations/__init__.py
+++ b/src/promptflow-azure/promptflow/azure/_restclient/flow/operations/__init__.py
@@ -7,6 +7,8 @@
 from ._bulk_runs_operations import BulkRunsOperations
 from ._connection_operations import ConnectionOperations
 from ._connections_operations import ConnectionsOperations
+from ._experiments_operations import ExperimentsOperations
+from ._experiment_templates_operations import ExperimentTemplatesOperations
 from ._flow_runtimes_operations import FlowRuntimesOperations
 from ._flow_runtimes_workspace_independent_operations import FlowRuntimesWorkspaceIndependentOperations
 from ._flows_operations import FlowsOperations
@@ -19,6 +21,8 @@
     'BulkRunsOperations',
     'ConnectionOperations',
     'ConnectionsOperations',
+    'ExperimentsOperations',
+    'ExperimentTemplatesOperations',
     'FlowRuntimesOperations',
     'FlowRuntimesWorkspaceIndependentOperations',
     'FlowsOperations',
diff --git a/src/promptflow/promptflow/azure/_restclient/flow/operations/_bulk_runs_operations.py b/src/promptflow-azure/promptflow/azure/_restclient/flow/operations/_bulk_runs_operations.py
similarity index 100%
rename from src/promptflow/promptflow/azure/_restclient/flow/operations/_bulk_runs_operations.py
rename to src/promptflow-azure/promptflow/azure/_restclient/flow/operations/_bulk_runs_operations.py
diff --git a/src/promptflow/promptflow/azure/_restclient/flow/operations/_connection_operations.py b/src/promptflow-azure/promptflow/azure/_restclient/flow/operations/_connection_operations.py
similarity index 100%
rename from src/promptflow/promptflow/azure/_restclient/flow/operations/_connection_operations.py
rename to src/promptflow-azure/promptflow/azure/_restclient/flow/operations/_connection_operations.py
diff --git a/src/promptflow/promptflow/azure/_restclient/flow/operations/_connections_operations.py b/src/promptflow-azure/promptflow/azure/_restclient/flow/operations/_connections_operations.py
similarity index 100%
rename from src/promptflow/promptflow/azure/_restclient/flow/operations/_connections_operations.py
rename to src/promptflow-azure/promptflow/azure/_restclient/flow/operations/_connections_operations.py
diff --git a/src/promptflow-azure/promptflow/azure/_restclient/flow/operations/_experiment_templates_operations.py b/src/promptflow-azure/promptflow/azure/_restclient/flow/operations/_experiment_templates_operations.py
new file mode 100644
index 00000000000..6edffd04d58
--- /dev/null
+++ b/src/promptflow-azure/promptflow/azure/_restclient/flow/operations/_experiment_templates_operations.py
@@ -0,0 +1,249 @@
+# coding=utf-8
+# --------------------------------------------------------------------------
+# Code generated by Microsoft (R) AutoRest Code Generator (autorest: 3.8.0, generator: @autorest/python@5.12.2)
+# Changes may cause incorrect behavior and will be lost if the code is regenerated.
+# --------------------------------------------------------------------------
+import functools
+from typing import TYPE_CHECKING
+import warnings
+
+from azure.core.exceptions import ClientAuthenticationError, HttpResponseError, ResourceExistsError, ResourceNotFoundError, map_error
+from azure.core.pipeline import PipelineResponse
+from azure.core.pipeline.transport import HttpResponse
+from azure.core.rest import HttpRequest
+from azure.core.tracing.decorator import distributed_trace
+from msrest import Serializer
+
+from .. import models as _models
+from .._vendor import _convert_request, _format_url_section
+
+if TYPE_CHECKING:
+    # pylint: disable=unused-import,ungrouped-imports
+    from typing import Any, Callable, Dict, Generic, Optional, TypeVar
+    T = TypeVar('T')
+    ClsType = Optional[Callable[[PipelineResponse[HttpRequest, HttpResponse], T, Dict[str, Any]], Any]]
+
+_SERIALIZER = Serializer()
+_SERIALIZER.client_side_validation = False
+# fmt: off
+
+def build_create_experiment_template_request(
+    subscription_id,  # type: str
+    resource_group_name,  # type: str
+    workspace_name,  # type: str
+    experiment_template_id,  # type: str
+    **kwargs  # type: Any
+):
+    # type: (...) -> HttpRequest
+    content_type = kwargs.pop('content_type', None)  # type: Optional[str]
+
+    accept = "application/json"
+    # Construct URL
+    url = kwargs.pop("template_url", '/flow/api/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/ExperimentTemplates/{experimentTemplateId}')
+    path_format_arguments = {
+        "subscriptionId": _SERIALIZER.url("subscription_id", subscription_id, 'str'),
+        "resourceGroupName": _SERIALIZER.url("resource_group_name", resource_group_name, 'str'),
+        "workspaceName": _SERIALIZER.url("workspace_name", workspace_name, 'str'),
+        "experimentTemplateId": _SERIALIZER.url("experiment_template_id", experiment_template_id, 'str'),
+    }
+
+    url = _format_url_section(url, **path_format_arguments)
+
+    # Construct headers
+    header_parameters = kwargs.pop("headers", {})  # type: Dict[str, Any]
+    if content_type is not None:
+        header_parameters['Content-Type'] = _SERIALIZER.header("content_type", content_type, 'str')
+    header_parameters['Accept'] = _SERIALIZER.header("accept", accept, 'str')
+
+    return HttpRequest(
+        method="POST",
+        url=url,
+        headers=header_parameters,
+        **kwargs
+    )
+
+
+def build_get_experiment_template_request(
+    subscription_id,  # type: str
+    resource_group_name,  # type: str
+    workspace_name,  # type: str
+    experiment_template_id,  # type: str
+    **kwargs  # type: Any
+):
+    # type: (...) -> HttpRequest
+    accept = "application/json"
+    # Construct URL
+    url = kwargs.pop("template_url", '/flow/api/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/ExperimentTemplates/{experimentTemplateId}')
+    path_format_arguments = {
+        "subscriptionId": _SERIALIZER.url("subscription_id", subscription_id, 'str'),
+        "resourceGroupName": _SERIALIZER.url("resource_group_name", resource_group_name, 'str'),
+        "workspaceName": _SERIALIZER.url("workspace_name", workspace_name, 'str'),
+        "experimentTemplateId": _SERIALIZER.url("experiment_template_id", experiment_template_id, 'str'),
+    }
+
+    url = _format_url_section(url, **path_format_arguments)
+
+    # Construct headers
+    header_parameters = kwargs.pop("headers", {})  # type: Dict[str, Any]
+    header_parameters['Accept'] = _SERIALIZER.header("accept", accept, 'str')
+
+    return HttpRequest(
+        method="GET",
+        url=url,
+        headers=header_parameters,
+        **kwargs
+    )
+
+# fmt: on
+class ExperimentTemplatesOperations(object):
+    """ExperimentTemplatesOperations operations.
+
+    You should not instantiate this class directly. Instead, you should create a Client instance that
+    instantiates it for you and attaches it as an attribute.
+
+    :ivar models: Alias to model classes used in this operation group.
+    :type models: ~flow.models
+    :param client: Client for service requests.
+    :param config: Configuration of service client.
+    :param serializer: An object model serializer.
+    :param deserializer: An object model deserializer.
+    """
+
+    models = _models
+
+    def __init__(self, client, config, serializer, deserializer):
+        self._client = client
+        self._serialize = serializer
+        self._deserialize = deserializer
+        self._config = config
+
+    @distributed_trace
+    def create_experiment_template(
+        self,
+        subscription_id,  # type: str
+        resource_group_name,  # type: str
+        workspace_name,  # type: str
+        experiment_template_id,  # type: str
+        body=None,  # type: Optional["_models.CreateExperimentTemplateRequest"]
+        **kwargs  # type: Any
+    ):
+        # type: (...) -> "_models.ExperimentTemplateDto"
+        """create_experiment_template.
+
+        :param subscription_id: The Azure Subscription ID.
+        :type subscription_id: str
+        :param resource_group_name: The Name of the resource group in which the workspace is located.
+        :type resource_group_name: str
+        :param workspace_name: The name of the workspace.
+        :type workspace_name: str
+        :param experiment_template_id:
+        :type experiment_template_id: str
+        :param body:
+        :type body: ~flow.models.CreateExperimentTemplateRequest
+        :keyword callable cls: A custom type or function that will be passed the direct response
+        :return: ExperimentTemplateDto, or the result of cls(response)
+        :rtype: ~flow.models.ExperimentTemplateDto
+        :raises: ~azure.core.exceptions.HttpResponseError
+        """
+        cls = kwargs.pop('cls', None)  # type: ClsType["_models.ExperimentTemplateDto"]
+        error_map = {
+            401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError
+        }
+        error_map.update(kwargs.pop('error_map', {}))
+
+        content_type = kwargs.pop('content_type', "application/json")  # type: Optional[str]
+
+        if body is not None:
+            _json = self._serialize.body(body, 'CreateExperimentTemplateRequest')
+        else:
+            _json = None
+
+        request = build_create_experiment_template_request(
+            subscription_id=subscription_id,
+            resource_group_name=resource_group_name,
+            workspace_name=workspace_name,
+            experiment_template_id=experiment_template_id,
+            content_type=content_type,
+            json=_json,
+            template_url=self.create_experiment_template.metadata['url'],
+        )
+        request = _convert_request(request)
+        request.url = self._client.format_url(request.url)
+
+        pipeline_response = self._client._pipeline.run(request, stream=False, **kwargs)
+        response = pipeline_response.http_response
+
+        if response.status_code not in [200]:
+            map_error(status_code=response.status_code, response=response, error_map=error_map)
+            error = self._deserialize.failsafe_deserialize(_models.ErrorResponse, pipeline_response)
+            raise HttpResponseError(response=response, model=error)
+
+        deserialized = self._deserialize('ExperimentTemplateDto', pipeline_response)
+
+        if cls:
+            return cls(pipeline_response, deserialized, {})
+
+        return deserialized
+
+    create_experiment_template.metadata = {'url': '/flow/api/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/ExperimentTemplates/{experimentTemplateId}'}  # type: ignore
+
+
+    @distributed_trace
+    def get_experiment_template(
+        self,
+        subscription_id,  # type: str
+        resource_group_name,  # type: str
+        workspace_name,  # type: str
+        experiment_template_id,  # type: str
+        **kwargs  # type: Any
+    ):
+        # type: (...) -> "_models.ExperimentTemplateDto"
+        """get_experiment_template.
+
+        :param subscription_id: The Azure Subscription ID.
+        :type subscription_id: str
+        :param resource_group_name: The Name of the resource group in which the workspace is located.
+        :type resource_group_name: str
+        :param workspace_name: The name of the workspace.
+        :type workspace_name: str
+        :param experiment_template_id:
+        :type experiment_template_id: str
+        :keyword callable cls: A custom type or function that will be passed the direct response
+        :return: ExperimentTemplateDto, or the result of cls(response)
+        :rtype: ~flow.models.ExperimentTemplateDto
+        :raises: ~azure.core.exceptions.HttpResponseError
+        """
+        cls = kwargs.pop('cls', None)  # type: ClsType["_models.ExperimentTemplateDto"]
+        error_map = {
+            401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError
+        }
+        error_map.update(kwargs.pop('error_map', {}))
+
+        
+        request = build_get_experiment_template_request(
+            subscription_id=subscription_id,
+            resource_group_name=resource_group_name,
+            workspace_name=workspace_name,
+            experiment_template_id=experiment_template_id,
+            template_url=self.get_experiment_template.metadata['url'],
+        )
+        request = _convert_request(request)
+        request.url = self._client.format_url(request.url)
+
+        pipeline_response = self._client._pipeline.run(request, stream=False, **kwargs)
+        response = pipeline_response.http_response
+
+        if response.status_code not in [200]:
+            map_error(status_code=response.status_code, response=response, error_map=error_map)
+            error = self._deserialize.failsafe_deserialize(_models.ErrorResponse, pipeline_response)
+            raise HttpResponseError(response=response, model=error)
+
+        deserialized = self._deserialize('ExperimentTemplateDto', pipeline_response)
+
+        if cls:
+            return cls(pipeline_response, deserialized, {})
+
+        return deserialized
+
+    get_experiment_template.metadata = {'url': '/flow/api/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/ExperimentTemplates/{experimentTemplateId}'}  # type: ignore
+
diff --git a/src/promptflow-azure/promptflow/azure/_restclient/flow/operations/_experiments_operations.py b/src/promptflow-azure/promptflow/azure/_restclient/flow/operations/_experiments_operations.py
new file mode 100644
index 00000000000..bc8b7b47580
--- /dev/null
+++ b/src/promptflow-azure/promptflow/azure/_restclient/flow/operations/_experiments_operations.py
@@ -0,0 +1,267 @@
+# coding=utf-8
+# --------------------------------------------------------------------------
+# Code generated by Microsoft (R) AutoRest Code Generator (autorest: 3.8.0, generator: @autorest/python@5.12.2)
+# Changes may cause incorrect behavior and will be lost if the code is regenerated.
+# --------------------------------------------------------------------------
+import functools
+from typing import TYPE_CHECKING
+import warnings
+
+from azure.core.exceptions import ClientAuthenticationError, HttpResponseError, ResourceExistsError, ResourceNotFoundError, map_error
+from azure.core.pipeline import PipelineResponse
+from azure.core.pipeline.transport import HttpResponse
+from azure.core.rest import HttpRequest
+from azure.core.tracing.decorator import distributed_trace
+from msrest import Serializer
+
+from .. import models as _models
+from .._vendor import _convert_request, _format_url_section
+
+if TYPE_CHECKING:
+    # pylint: disable=unused-import,ungrouped-imports
+    from typing import Any, Callable, Dict, Generic, Optional, TypeVar
+    T = TypeVar('T')
+    ClsType = Optional[Callable[[PipelineResponse[HttpRequest, HttpResponse], T, Dict[str, Any]], Any]]
+
+_SERIALIZER = Serializer()
+_SERIALIZER.client_side_validation = False
+# fmt: off
+
+def build_submit_experiment_request(
+    subscription_id,  # type: str
+    resource_group_name,  # type: str
+    workspace_name,  # type: str
+    experiment_id,  # type: str
+    **kwargs  # type: Any
+):
+    # type: (...) -> HttpRequest
+    content_type = kwargs.pop('content_type', None)  # type: Optional[str]
+    experiment_name = kwargs.pop('experiment_name', None)  # type: Optional[str]
+    description = kwargs.pop('description', None)  # type: Optional[str]
+
+    accept = "application/json"
+    # Construct URL
+    url = kwargs.pop("template_url", '/flow/api/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/Experiments/{experimentId}')
+    path_format_arguments = {
+        "subscriptionId": _SERIALIZER.url("subscription_id", subscription_id, 'str'),
+        "resourceGroupName": _SERIALIZER.url("resource_group_name", resource_group_name, 'str'),
+        "workspaceName": _SERIALIZER.url("workspace_name", workspace_name, 'str'),
+        "experimentId": _SERIALIZER.url("experiment_id", experiment_id, 'str'),
+    }
+
+    url = _format_url_section(url, **path_format_arguments)
+
+    # Construct parameters
+    query_parameters = kwargs.pop("params", {})  # type: Dict[str, Any]
+    if experiment_name is not None:
+        query_parameters['experimentName'] = _SERIALIZER.query("experiment_name", experiment_name, 'str')
+    if description is not None:
+        query_parameters['description'] = _SERIALIZER.query("description", description, 'str')
+
+    # Construct headers
+    header_parameters = kwargs.pop("headers", {})  # type: Dict[str, Any]
+    if content_type is not None:
+        header_parameters['Content-Type'] = _SERIALIZER.header("content_type", content_type, 'str')
+    header_parameters['Accept'] = _SERIALIZER.header("accept", accept, 'str')
+
+    return HttpRequest(
+        method="POST",
+        url=url,
+        params=query_parameters,
+        headers=header_parameters,
+        **kwargs
+    )
+
+
+def build_get_experiment_request(
+    subscription_id,  # type: str
+    resource_group_name,  # type: str
+    workspace_name,  # type: str
+    experiment_id,  # type: str
+    **kwargs  # type: Any
+):
+    # type: (...) -> HttpRequest
+    accept = "application/json"
+    # Construct URL
+    url = kwargs.pop("template_url", '/flow/api/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/Experiments/{experimentId}')
+    path_format_arguments = {
+        "subscriptionId": _SERIALIZER.url("subscription_id", subscription_id, 'str'),
+        "resourceGroupName": _SERIALIZER.url("resource_group_name", resource_group_name, 'str'),
+        "workspaceName": _SERIALIZER.url("workspace_name", workspace_name, 'str'),
+        "experimentId": _SERIALIZER.url("experiment_id", experiment_id, 'str'),
+    }
+
+    url = _format_url_section(url, **path_format_arguments)
+
+    # Construct headers
+    header_parameters = kwargs.pop("headers", {})  # type: Dict[str, Any]
+    header_parameters['Accept'] = _SERIALIZER.header("accept", accept, 'str')
+
+    return HttpRequest(
+        method="GET",
+        url=url,
+        headers=header_parameters,
+        **kwargs
+    )
+
+# fmt: on
+class ExperimentsOperations(object):
+    """ExperimentsOperations operations.
+
+    You should not instantiate this class directly. Instead, you should create a Client instance that
+    instantiates it for you and attaches it as an attribute.
+
+    :ivar models: Alias to model classes used in this operation group.
+    :type models: ~flow.models
+    :param client: Client for service requests.
+    :param config: Configuration of service client.
+    :param serializer: An object model serializer.
+    :param deserializer: An object model deserializer.
+    """
+
+    models = _models
+
+    def __init__(self, client, config, serializer, deserializer):
+        self._client = client
+        self._serialize = serializer
+        self._deserialize = deserializer
+        self._config = config
+
+    @distributed_trace
+    def submit_experiment(
+        self,
+        subscription_id,  # type: str
+        resource_group_name,  # type: str
+        workspace_name,  # type: str
+        experiment_id,  # type: str
+        experiment_name=None,  # type: Optional[str]
+        description=None,  # type: Optional[str]
+        body=None,  # type: Optional["_models.SubmitExperimentRequest"]
+        **kwargs  # type: Any
+    ):
+        # type: (...) -> "_models.FlowDto"
+        """submit_experiment.
+
+        :param subscription_id: The Azure Subscription ID.
+        :type subscription_id: str
+        :param resource_group_name: The Name of the resource group in which the workspace is located.
+        :type resource_group_name: str
+        :param workspace_name: The name of the workspace.
+        :type workspace_name: str
+        :param experiment_id:
+        :type experiment_id: str
+        :param experiment_name:
+        :type experiment_name: str
+        :param description:
+        :type description: str
+        :param body:
+        :type body: ~flow.models.SubmitExperimentRequest
+        :keyword callable cls: A custom type or function that will be passed the direct response
+        :return: FlowDto, or the result of cls(response)
+        :rtype: ~flow.models.FlowDto
+        :raises: ~azure.core.exceptions.HttpResponseError
+        """
+        cls = kwargs.pop('cls', None)  # type: ClsType["_models.FlowDto"]
+        error_map = {
+            401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError
+        }
+        error_map.update(kwargs.pop('error_map', {}))
+
+        content_type = kwargs.pop('content_type', "application/json")  # type: Optional[str]
+
+        if body is not None:
+            _json = self._serialize.body(body, 'SubmitExperimentRequest')
+        else:
+            _json = None
+
+        request = build_submit_experiment_request(
+            subscription_id=subscription_id,
+            resource_group_name=resource_group_name,
+            workspace_name=workspace_name,
+            experiment_id=experiment_id,
+            content_type=content_type,
+            json=_json,
+            experiment_name=experiment_name,
+            description=description,
+            template_url=self.submit_experiment.metadata['url'],
+        )
+        request = _convert_request(request)
+        request.url = self._client.format_url(request.url)
+
+        pipeline_response = self._client._pipeline.run(request, stream=False, **kwargs)
+        response = pipeline_response.http_response
+
+        if response.status_code not in [200]:
+            map_error(status_code=response.status_code, response=response, error_map=error_map)
+            error = self._deserialize.failsafe_deserialize(_models.ErrorResponse, pipeline_response)
+            raise HttpResponseError(response=response, model=error)
+
+        deserialized = self._deserialize('FlowDto', pipeline_response)
+
+        if cls:
+            return cls(pipeline_response, deserialized, {})
+
+        return deserialized
+
+    submit_experiment.metadata = {'url': '/flow/api/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/Experiments/{experimentId}'}  # type: ignore
+
+
+    @distributed_trace
+    def get_experiment(
+        self,
+        subscription_id,  # type: str
+        resource_group_name,  # type: str
+        workspace_name,  # type: str
+        experiment_id,  # type: str
+        **kwargs  # type: Any
+    ):
+        # type: (...) -> "_models.ExperimentDefinition"
+        """get_experiment.
+
+        :param subscription_id: The Azure Subscription ID.
+        :type subscription_id: str
+        :param resource_group_name: The Name of the resource group in which the workspace is located.
+        :type resource_group_name: str
+        :param workspace_name: The name of the workspace.
+        :type workspace_name: str
+        :param experiment_id:
+        :type experiment_id: str
+        :keyword callable cls: A custom type or function that will be passed the direct response
+        :return: ExperimentDefinition, or the result of cls(response)
+        :rtype: ~flow.models.ExperimentDefinition
+        :raises: ~azure.core.exceptions.HttpResponseError
+        """
+        cls = kwargs.pop('cls', None)  # type: ClsType["_models.ExperimentDefinition"]
+        error_map = {
+            401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError
+        }
+        error_map.update(kwargs.pop('error_map', {}))
+
+        
+        request = build_get_experiment_request(
+            subscription_id=subscription_id,
+            resource_group_name=resource_group_name,
+            workspace_name=workspace_name,
+            experiment_id=experiment_id,
+            template_url=self.get_experiment.metadata['url'],
+        )
+        request = _convert_request(request)
+        request.url = self._client.format_url(request.url)
+
+        pipeline_response = self._client._pipeline.run(request, stream=False, **kwargs)
+        response = pipeline_response.http_response
+
+        if response.status_code not in [200]:
+            map_error(status_code=response.status_code, response=response, error_map=error_map)
+            error = self._deserialize.failsafe_deserialize(_models.ErrorResponse, pipeline_response)
+            raise HttpResponseError(response=response, model=error)
+
+        deserialized = self._deserialize('ExperimentDefinition', pipeline_response)
+
+        if cls:
+            return cls(pipeline_response, deserialized, {})
+
+        return deserialized
+
+    get_experiment.metadata = {'url': '/flow/api/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/Experiments/{experimentId}'}  # type: ignore
+
diff --git a/src/promptflow/promptflow/azure/_restclient/flow/operations/_flow_runs_admin_operations.py b/src/promptflow-azure/promptflow/azure/_restclient/flow/operations/_flow_runs_admin_operations.py
similarity index 100%
rename from src/promptflow/promptflow/azure/_restclient/flow/operations/_flow_runs_admin_operations.py
rename to src/promptflow-azure/promptflow/azure/_restclient/flow/operations/_flow_runs_admin_operations.py
diff --git a/src/promptflow/promptflow/azure/_restclient/flow/operations/_flow_runtimes_operations.py b/src/promptflow-azure/promptflow/azure/_restclient/flow/operations/_flow_runtimes_operations.py
similarity index 100%
rename from src/promptflow/promptflow/azure/_restclient/flow/operations/_flow_runtimes_operations.py
rename to src/promptflow-azure/promptflow/azure/_restclient/flow/operations/_flow_runtimes_operations.py
diff --git a/src/promptflow/promptflow/azure/_restclient/flow/operations/_flow_runtimes_workspace_independent_operations.py b/src/promptflow-azure/promptflow/azure/_restclient/flow/operations/_flow_runtimes_workspace_independent_operations.py
similarity index 100%
rename from src/promptflow/promptflow/azure/_restclient/flow/operations/_flow_runtimes_workspace_independent_operations.py
rename to src/promptflow-azure/promptflow/azure/_restclient/flow/operations/_flow_runtimes_workspace_independent_operations.py
diff --git a/src/promptflow/promptflow/azure/_restclient/flow/operations/_flow_sessions_admin_operations.py b/src/promptflow-azure/promptflow/azure/_restclient/flow/operations/_flow_sessions_admin_operations.py
similarity index 100%
rename from src/promptflow/promptflow/azure/_restclient/flow/operations/_flow_sessions_admin_operations.py
rename to src/promptflow-azure/promptflow/azure/_restclient/flow/operations/_flow_sessions_admin_operations.py
diff --git a/src/promptflow/promptflow/azure/_restclient/flow/operations/_flow_sessions_operations.py b/src/promptflow-azure/promptflow/azure/_restclient/flow/operations/_flow_sessions_operations.py
similarity index 100%
rename from src/promptflow/promptflow/azure/_restclient/flow/operations/_flow_sessions_operations.py
rename to src/promptflow-azure/promptflow/azure/_restclient/flow/operations/_flow_sessions_operations.py
diff --git a/src/promptflow/promptflow/azure/_restclient/flow/operations/_flows_operations.py b/src/promptflow-azure/promptflow/azure/_restclient/flow/operations/_flows_operations.py
similarity index 100%
rename from src/promptflow/promptflow/azure/_restclient/flow/operations/_flows_operations.py
rename to src/promptflow-azure/promptflow/azure/_restclient/flow/operations/_flows_operations.py
diff --git a/src/promptflow/promptflow/azure/_restclient/flow/operations/_flows_provider_operations.py b/src/promptflow-azure/promptflow/azure/_restclient/flow/operations/_flows_provider_operations.py
similarity index 100%
rename from src/promptflow/promptflow/azure/_restclient/flow/operations/_flows_provider_operations.py
rename to src/promptflow-azure/promptflow/azure/_restclient/flow/operations/_flows_provider_operations.py
diff --git a/src/promptflow/promptflow/azure/_restclient/flow/operations/_tools_operations.py b/src/promptflow-azure/promptflow/azure/_restclient/flow/operations/_tools_operations.py
similarity index 81%
rename from src/promptflow/promptflow/azure/_restclient/flow/operations/_tools_operations.py
rename to src/promptflow-azure/promptflow/azure/_restclient/flow/operations/_tools_operations.py
index ddf08d83507..f8145505355 100644
--- a/src/promptflow/promptflow/azure/_restclient/flow/operations/_tools_operations.py
+++ b/src/promptflow-azure/promptflow/azure/_restclient/flow/operations/_tools_operations.py
@@ -57,57 +57,6 @@ def build_get_tool_setting_request(
     )
 
 
-def build_get_tool_meta_request(
-    subscription_id,  # type: str
-    resource_group_name,  # type: str
-    workspace_name,  # type: str
-    **kwargs  # type: Any
-):
-    # type: (...) -> HttpRequest
-    content_type = kwargs.pop('content_type', None)  # type: Optional[str]
-    tool_name = kwargs.pop('tool_name')  # type: str
-    tool_type = kwargs.pop('tool_type')  # type: str
-    endpoint_name = kwargs.pop('endpoint_name', None)  # type: Optional[str]
-    flow_runtime_name = kwargs.pop('flow_runtime_name', None)  # type: Optional[str]
-    flow_id = kwargs.pop('flow_id', None)  # type: Optional[str]
-
-    accept = "application/json"
-    # Construct URL
-    url = kwargs.pop("template_url", '/flow/api/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/Tools/meta')
-    path_format_arguments = {
-        "subscriptionId": _SERIALIZER.url("subscription_id", subscription_id, 'str'),
-        "resourceGroupName": _SERIALIZER.url("resource_group_name", resource_group_name, 'str'),
-        "workspaceName": _SERIALIZER.url("workspace_name", workspace_name, 'str'),
-    }
-
-    url = _format_url_section(url, **path_format_arguments)
-
-    # Construct parameters
-    query_parameters = kwargs.pop("params", {})  # type: Dict[str, Any]
-    query_parameters['toolName'] = _SERIALIZER.query("tool_name", tool_name, 'str')
-    query_parameters['toolType'] = _SERIALIZER.query("tool_type", tool_type, 'str')
-    if endpoint_name is not None:
-        query_parameters['endpointName'] = _SERIALIZER.query("endpoint_name", endpoint_name, 'str')
-    if flow_runtime_name is not None:
-        query_parameters['flowRuntimeName'] = _SERIALIZER.query("flow_runtime_name", flow_runtime_name, 'str')
-    if flow_id is not None:
-        query_parameters['flowId'] = _SERIALIZER.query("flow_id", flow_id, 'str')
-
-    # Construct headers
-    header_parameters = kwargs.pop("headers", {})  # type: Dict[str, Any]
-    if content_type is not None:
-        header_parameters['Content-Type'] = _SERIALIZER.header("content_type", content_type, 'str')
-    header_parameters['Accept'] = _SERIALIZER.header("accept", accept, 'str')
-
-    return HttpRequest(
-        method="POST",
-        url=url,
-        params=query_parameters,
-        headers=header_parameters,
-        **kwargs
-    )
-
-
 def build_get_tool_meta_v2_request(
     subscription_id,  # type: str
     resource_group_name,  # type: str
@@ -359,90 +308,6 @@ def get_tool_setting(
     get_tool_setting.metadata = {'url': '/flow/api/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/Tools/setting'}  # type: ignore
 
 
-    @distributed_trace
-    def get_tool_meta(
-        self,
-        subscription_id,  # type: str
-        resource_group_name,  # type: str
-        workspace_name,  # type: str
-        tool_name,  # type: str
-        tool_type,  # type: str
-        endpoint_name=None,  # type: Optional[str]
-        flow_runtime_name=None,  # type: Optional[str]
-        flow_id=None,  # type: Optional[str]
-        data=None,  # type: Optional[str]
-        **kwargs  # type: Any
-    ):
-        # type: (...) -> str
-        """get_tool_meta.
-
-        :param subscription_id: The Azure Subscription ID.
-        :type subscription_id: str
-        :param resource_group_name: The Name of the resource group in which the workspace is located.
-        :type resource_group_name: str
-        :param workspace_name: The name of the workspace.
-        :type workspace_name: str
-        :param tool_name:
-        :type tool_name: str
-        :param tool_type:
-        :type tool_type: str
-        :param endpoint_name:
-        :type endpoint_name: str
-        :param flow_runtime_name:
-        :type flow_runtime_name: str
-        :param flow_id:
-        :type flow_id: str
-        :param data:
-        :type data: str
-        :keyword callable cls: A custom type or function that will be passed the direct response
-        :return: str, or the result of cls(response)
-        :rtype: str
-        :raises: ~azure.core.exceptions.HttpResponseError
-        """
-        cls = kwargs.pop('cls', None)  # type: ClsType[str]
-        error_map = {
-            401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError
-        }
-        error_map.update(kwargs.pop('error_map', {}))
-
-        content_type = kwargs.pop('content_type', "text/plain")  # type: Optional[str]
-
-        _content = data
-
-        request = build_get_tool_meta_request(
-            subscription_id=subscription_id,
-            resource_group_name=resource_group_name,
-            workspace_name=workspace_name,
-            content_type=content_type,
-            tool_name=tool_name,
-            tool_type=tool_type,
-            content=_content,
-            endpoint_name=endpoint_name,
-            flow_runtime_name=flow_runtime_name,
-            flow_id=flow_id,
-            template_url=self.get_tool_meta.metadata['url'],
-        )
-        request = _convert_request(request)
-        request.url = self._client.format_url(request.url)
-
-        pipeline_response = self._client._pipeline.run(request, stream=False, **kwargs)
-        response = pipeline_response.http_response
-
-        if response.status_code not in [200]:
-            map_error(status_code=response.status_code, response=response, error_map=error_map)
-            error = self._deserialize.failsafe_deserialize(_models.ErrorResponse, pipeline_response)
-            raise HttpResponseError(response=response, model=error)
-
-        deserialized = self._deserialize('str', pipeline_response)
-
-        if cls:
-            return cls(pipeline_response, deserialized, {})
-
-        return deserialized
-
-    get_tool_meta.metadata = {'url': '/flow/api/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/Tools/meta'}  # type: ignore
-
-
     @distributed_trace
     def get_tool_meta_v2(
         self,
diff --git a/src/promptflow/promptflow/azure/_restclient/flow/operations/_trace_sessions_operations.py b/src/promptflow-azure/promptflow/azure/_restclient/flow/operations/_trace_sessions_operations.py
similarity index 100%
rename from src/promptflow/promptflow/azure/_restclient/flow/operations/_trace_sessions_operations.py
rename to src/promptflow-azure/promptflow/azure/_restclient/flow/operations/_trace_sessions_operations.py
diff --git a/src/promptflow/promptflow/azure/_restclient/flow/py.typed b/src/promptflow-azure/promptflow/azure/_restclient/flow/py.typed
similarity index 100%
rename from src/promptflow/promptflow/azure/_restclient/flow/py.typed
rename to src/promptflow-azure/promptflow/azure/_restclient/flow/py.typed
diff --git a/src/promptflow/promptflow/azure/_restclient/flow_service_caller.py b/src/promptflow-azure/promptflow/azure/_restclient/flow_service_caller.py
similarity index 99%
rename from src/promptflow/promptflow/azure/_restclient/flow_service_caller.py
rename to src/promptflow-azure/promptflow/azure/_restclient/flow_service_caller.py
index b0291ab9ebc..c95c4c38146 100644
--- a/src/promptflow/promptflow/azure/_restclient/flow_service_caller.py
+++ b/src/promptflow-azure/promptflow/azure/_restclient/flow_service_caller.py
@@ -66,7 +66,8 @@ def wrapper(self, *args, **kwargs):
                     f"Calling {func.__name__} failed with request id: {self._request_id} \n"
                     f"Status code: {e.status_code} \n"
                     f"Reason: {e.reason} \n"
-                    f"Error message: {e.message} \n"
+                    f"Error message: {e.message} \n",
+                    privacy_info=[e.reason, e.message]
                 )
 
         return wrapper
diff --git a/src/promptflow/promptflow/azure/_restclient/service_caller_factory.py b/src/promptflow-azure/promptflow/azure/_restclient/service_caller_factory.py
similarity index 100%
rename from src/promptflow/promptflow/azure/_restclient/service_caller_factory.py
rename to src/promptflow-azure/promptflow/azure/_restclient/service_caller_factory.py
diff --git a/src/promptflow-azure/promptflow/azure/_restclient/swagger.json b/src/promptflow-azure/promptflow/azure/_restclient/swagger.json
new file mode 100644
index 00000000000..60451e6d236
--- /dev/null
+++ b/src/promptflow-azure/promptflow/azure/_restclient/swagger.json
@@ -0,0 +1,32145 @@
+{
+  "openapi": "3.0.1",
+  "info": {
+    "title": "Azure Machine Learning Designer Service Client",
+    "version": "1.0.0"
+  },
+  "paths": {
+    "/flow/api/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/BulkRuns/submit": {
+      "post": {
+        "tags": [
+          "BulkRuns"
+        ],
+        "operationId": "BulkRuns_SubmitBulkRun",
+        "parameters": [
+          {
+            "$ref": "#/components/parameters/subscriptionIdParameter"
+          },
+          {
+            "$ref": "#/components/parameters/resourceGroupNameParameter"
+          },
+          {
+            "$ref": "#/components/parameters/workspaceNameParameter"
+          }
+        ],
+        "requestBody": {
+          "content": {
+            "application/json": {
+              "schema": {
+                "$ref": "#/components/schemas/SubmitBulkRunRequest"
+              }
+            }
+          }
+        },
+        "responses": {
+          "200": {
+            "description": "Success",
+            "content": {
+              "application/json": {
+                "schema": {
+                  "type": "string"
+                }
+              }
+            }
+          },
+          "202": {
+            "description": "Accepted",
+            "content": {
+              "application/json": {
+                "schema": {
+                  "type": "string"
+                }
+              }
+            }
+          },
+          "204": {
+            "description": "No Content",
+            "content": {
+              "application/json": {
+                "schema": {
+                  "type": "string"
+                }
+              }
+            }
+          },
+          "default": {
+            "description": "Error response describing why the operation failed.",
+            "content": {
+              "application/json": {
+                "schema": {
+                  "$ref": "#/components/schemas/ErrorResponse"
+                }
+              }
+            }
+          }
+        }
+      }
+    },
+    "/flow/api/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/BulkRuns/resume": {
+      "post": {
+        "tags": [
+          "BulkRuns"
+        ],
+        "operationId": "BulkRuns_ResumeBulkRun",
+        "parameters": [
+          {
+            "$ref": "#/components/parameters/subscriptionIdParameter"
+          },
+          {
+            "$ref": "#/components/parameters/resourceGroupNameParameter"
+          },
+          {
+            "$ref": "#/components/parameters/workspaceNameParameter"
+          }
+        ],
+        "requestBody": {
+          "content": {
+            "application/json": {
+              "schema": {
+                "$ref": "#/components/schemas/ResumeBulkRunRequest"
+              }
+            }
+          }
+        },
+        "responses": {
+          "200": {
+            "description": "Success",
+            "content": {
+              "application/json": {
+                "schema": {
+                  "type": "string"
+                }
+              }
+            }
+          },
+          "default": {
+            "description": "Error response describing why the operation failed.",
+            "content": {
+              "application/json": {
+                "schema": {
+                  "$ref": "#/components/schemas/ErrorResponse"
+                }
+              }
+            }
+          }
+        }
+      }
+    },
+    "/flow/api/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/BulkRuns/{flowRunId}/cancel": {
+      "post": {
+        "tags": [
+          "BulkRuns"
+        ],
+        "operationId": "BulkRuns_CancelFlowRun",
+        "parameters": [
+          {
+            "$ref": "#/components/parameters/subscriptionIdParameter"
+          },
+          {
+            "$ref": "#/components/parameters/resourceGroupNameParameter"
+          },
+          {
+            "$ref": "#/components/parameters/workspaceNameParameter"
+          },
+          {
+            "name": "flowRunId",
+            "in": "path",
+            "required": true,
+            "schema": {
+              "type": "string"
+            }
+          }
+        ],
+        "responses": {
+          "200": {
+            "description": "Success",
+            "content": {
+              "text/plain": {
+                "schema": {
+                  "type": "string"
+                }
+              }
+            }
+          },
+          "default": {
+            "description": "Error response describing why the operation failed.",
+            "content": {
+              "application/json": {
+                "schema": {
+                  "$ref": "#/components/schemas/ErrorResponse"
+                }
+              }
+            }
+          }
+        }
+      }
+    },
+    "/flow/api/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/BulkRuns/{flowRunId}": {
+      "get": {
+        "tags": [
+          "BulkRuns"
+        ],
+        "operationId": "BulkRuns_GetFlowRunInfo",
+        "parameters": [
+          {
+            "$ref": "#/components/parameters/subscriptionIdParameter"
+          },
+          {
+            "$ref": "#/components/parameters/resourceGroupNameParameter"
+          },
+          {
+            "$ref": "#/components/parameters/workspaceNameParameter"
+          },
+          {
+            "name": "flowRunId",
+            "in": "path",
+            "required": true,
+            "schema": {
+              "type": "string"
+            }
+          }
+        ],
+        "responses": {
+          "200": {
+            "description": "Success",
+            "content": {
+              "application/json": {
+                "schema": {
+                  "$ref": "#/components/schemas/FlowRunInfo"
+                }
+              }
+            }
+          },
+          "default": {
+            "description": "Error response describing why the operation failed.",
+            "content": {
+              "application/json": {
+                "schema": {
+                  "$ref": "#/components/schemas/ErrorResponse"
+                }
+              }
+            }
+          }
+        }
+      }
+    },
+    "/flow/api/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/BulkRuns/{flowRunId}/childRuns": {
+      "get": {
+        "tags": [
+          "BulkRuns"
+        ],
+        "operationId": "BulkRuns_GetFlowChildRuns",
+        "parameters": [
+          {
+            "$ref": "#/components/parameters/subscriptionIdParameter"
+          },
+          {
+            "$ref": "#/components/parameters/resourceGroupNameParameter"
+          },
+          {
+            "$ref": "#/components/parameters/workspaceNameParameter"
+          },
+          {
+            "name": "flowRunId",
+            "in": "path",
+            "required": true,
+            "schema": {
+              "type": "string"
+            }
+          },
+          {
+            "name": "index",
+            "in": "query",
+            "schema": {
+              "type": "integer",
+              "format": "int32"
+            }
+          },
+          {
+            "name": "startIndex",
+            "in": "query",
+            "schema": {
+              "type": "integer",
+              "format": "int32"
+            }
+          },
+          {
+            "name": "endIndex",
+            "in": "query",
+            "schema": {
+              "type": "integer",
+              "format": "int32"
+            }
+          }
+        ],
+        "responses": {
+          "200": {
+            "description": "Success",
+            "content": {
+              "application/json": {
+                "schema": {
+                  "type": "array",
+                  "items": { }
+                }
+              }
+            }
+          },
+          "default": {
+            "description": "Error response describing why the operation failed.",
+            "content": {
+              "application/json": {
+                "schema": {
+                  "$ref": "#/components/schemas/ErrorResponse"
+                }
+              }
+            }
+          }
+        }
+      }
+    },
+    "/flow/api/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/BulkRuns/{flowRunId}/nodeRuns/{nodeName}": {
+      "get": {
+        "tags": [
+          "BulkRuns"
+        ],
+        "operationId": "BulkRuns_GetFlowNodeRuns",
+        "parameters": [
+          {
+            "$ref": "#/components/parameters/subscriptionIdParameter"
+          },
+          {
+            "$ref": "#/components/parameters/resourceGroupNameParameter"
+          },
+          {
+            "$ref": "#/components/parameters/workspaceNameParameter"
+          },
+          {
+            "name": "flowRunId",
+            "in": "path",
+            "required": true,
+            "schema": {
+              "type": "string"
+            }
+          },
+          {
+            "name": "nodeName",
+            "in": "path",
+            "required": true,
+            "schema": {
+              "type": "string"
+            }
+          },
+          {
+            "name": "index",
+            "in": "query",
+            "schema": {
+              "type": "integer",
+              "format": "int32"
+            }
+          },
+          {
+            "name": "startIndex",
+            "in": "query",
+            "schema": {
+              "type": "integer",
+              "format": "int32"
+            }
+          },
+          {
+            "name": "endIndex",
+            "in": "query",
+            "schema": {
+              "type": "integer",
+              "format": "int32"
+            }
+          },
+          {
+            "name": "aggregation",
+            "in": "query",
+            "schema": {
+              "type": "boolean",
+              "default": false
+            }
+          }
+        ],
+        "responses": {
+          "200": {
+            "description": "Success",
+            "content": {
+              "application/json": {
+                "schema": {
+                  "type": "array",
+                  "items": { }
+                }
+              }
+            }
+          },
+          "default": {
+            "description": "Error response describing why the operation failed.",
+            "content": {
+              "application/json": {
+                "schema": {
+                  "$ref": "#/components/schemas/ErrorResponse"
+                }
+              }
+            }
+          }
+        }
+      }
+    },
+    "/flow/api/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/BulkRuns/{flowRunId}/nodeRuns/{nodeName}/basePath": {
+      "get": {
+        "tags": [
+          "BulkRuns"
+        ],
+        "operationId": "BulkRuns_GetFlowNodeRunBasePath",
+        "parameters": [
+          {
+            "$ref": "#/components/parameters/subscriptionIdParameter"
+          },
+          {
+            "$ref": "#/components/parameters/resourceGroupNameParameter"
+          },
+          {
+            "$ref": "#/components/parameters/workspaceNameParameter"
+          },
+          {
+            "name": "flowRunId",
+            "in": "path",
+            "required": true,
+            "schema": {
+              "type": "string"
+            }
+          },
+          {
+            "name": "nodeName",
+            "in": "path",
+            "required": true,
+            "schema": {
+              "type": "string"
+            }
+          }
+        ],
+        "responses": {
+          "200": {
+            "description": "Success",
+            "content": {
+              "application/json": {
+                "schema": {
+                  "$ref": "#/components/schemas/FlowRunBasePath"
+                }
+              }
+            }
+          },
+          "default": {
+            "description": "Error response describing why the operation failed.",
+            "content": {
+              "application/json": {
+                "schema": {
+                  "$ref": "#/components/schemas/ErrorResponse"
+                }
+              }
+            }
+          }
+        }
+      }
+    },
+    "/flow/api/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/BulkRuns/{flowRunId}/logContent": {
+      "get": {
+        "tags": [
+          "BulkRuns"
+        ],
+        "operationId": "BulkRuns_GetFlowRunLogContent",
+        "parameters": [
+          {
+            "$ref": "#/components/parameters/subscriptionIdParameter"
+          },
+          {
+            "$ref": "#/components/parameters/resourceGroupNameParameter"
+          },
+          {
+            "$ref": "#/components/parameters/workspaceNameParameter"
+          },
+          {
+            "name": "flowRunId",
+            "in": "path",
+            "required": true,
+            "schema": {
+              "type": "string"
+            }
+          }
+        ],
+        "responses": {
+          "200": {
+            "description": "Success",
+            "content": {
+              "application/json": {
+                "schema": {
+                  "type": "string"
+                }
+              }
+            }
+          },
+          "default": {
+            "description": "Error response describing why the operation failed.",
+            "content": {
+              "application/json": {
+                "schema": {
+                  "$ref": "#/components/schemas/ErrorResponse"
+                }
+              }
+            }
+          }
+        }
+      }
+    },
+    "/flow/api/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/Connection/{connectionName}": {
+      "post": {
+        "tags": [
+          "Connection"
+        ],
+        "operationId": "Connection_CreateConnection",
+        "parameters": [
+          {
+            "$ref": "#/components/parameters/subscriptionIdParameter"
+          },
+          {
+            "$ref": "#/components/parameters/resourceGroupNameParameter"
+          },
+          {
+            "$ref": "#/components/parameters/workspaceNameParameter"
+          },
+          {
+            "name": "connectionName",
+            "in": "path",
+            "required": true,
+            "schema": {
+              "type": "string"
+            }
+          }
+        ],
+        "requestBody": {
+          "content": {
+            "application/json": {
+              "schema": {
+                "$ref": "#/components/schemas/CreateOrUpdateConnectionRequest"
+              }
+            }
+          }
+        },
+        "responses": {
+          "200": {
+            "description": "Success",
+            "content": {
+              "application/json": {
+                "schema": {
+                  "$ref": "#/components/schemas/ConnectionEntity"
+                }
+              }
+            }
+          },
+          "default": {
+            "description": "Error response describing why the operation failed.",
+            "content": {
+              "application/json": {
+                "schema": {
+                  "$ref": "#/components/schemas/ErrorResponse"
+                }
+              }
+            }
+          }
+        }
+      },
+      "put": {
+        "tags": [
+          "Connection"
+        ],
+        "operationId": "Connection_UpdateConnection",
+        "parameters": [
+          {
+            "$ref": "#/components/parameters/subscriptionIdParameter"
+          },
+          {
+            "$ref": "#/components/parameters/resourceGroupNameParameter"
+          },
+          {
+            "$ref": "#/components/parameters/workspaceNameParameter"
+          },
+          {
+            "name": "connectionName",
+            "in": "path",
+            "required": true,
+            "schema": {
+              "type": "string"
+            }
+          }
+        ],
+        "requestBody": {
+          "content": {
+            "application/json": {
+              "schema": {
+                "$ref": "#/components/schemas/CreateOrUpdateConnectionRequest"
+              }
+            }
+          }
+        },
+        "responses": {
+          "200": {
+            "description": "Success",
+            "content": {
+              "application/json": {
+                "schema": {
+                  "$ref": "#/components/schemas/ConnectionEntity"
+                }
+              }
+            }
+          },
+          "default": {
+            "description": "Error response describing why the operation failed.",
+            "content": {
+              "application/json": {
+                "schema": {
+                  "$ref": "#/components/schemas/ErrorResponse"
+                }
+              }
+            }
+          }
+        }
+      },
+      "get": {
+        "tags": [
+          "Connection"
+        ],
+        "operationId": "Connection_GetConnection",
+        "parameters": [
+          {
+            "$ref": "#/components/parameters/subscriptionIdParameter"
+          },
+          {
+            "$ref": "#/components/parameters/resourceGroupNameParameter"
+          },
+          {
+            "$ref": "#/components/parameters/workspaceNameParameter"
+          },
+          {
+            "name": "connectionName",
+            "in": "path",
+            "required": true,
+            "schema": {
+              "type": "string"
+            }
+          }
+        ],
+        "responses": {
+          "200": {
+            "description": "Success",
+            "content": {
+              "application/json": {
+                "schema": {
+                  "$ref": "#/components/schemas/ConnectionEntity"
+                }
+              }
+            }
+          },
+          "default": {
+            "description": "Error response describing why the operation failed.",
+            "content": {
+              "application/json": {
+                "schema": {
+                  "$ref": "#/components/schemas/ErrorResponse"
+                }
+              }
+            }
+          }
+        }
+      },
+      "delete": {
+        "tags": [
+          "Connection"
+        ],
+        "operationId": "Connection_DeleteConnection",
+        "parameters": [
+          {
+            "$ref": "#/components/parameters/subscriptionIdParameter"
+          },
+          {
+            "$ref": "#/components/parameters/resourceGroupNameParameter"
+          },
+          {
+            "$ref": "#/components/parameters/workspaceNameParameter"
+          },
+          {
+            "name": "connectionName",
+            "in": "path",
+            "required": true,
+            "schema": {
+              "type": "string"
+            }
+          },
+          {
+            "name": "connectionScope",
+            "in": "query",
+            "schema": {
+              "$ref": "#/components/schemas/ConnectionScope"
+            }
+          }
+        ],
+        "responses": {
+          "200": {
+            "description": "Success",
+            "content": {
+              "application/json": {
+                "schema": {
+                  "$ref": "#/components/schemas/ConnectionEntity"
+                }
+              }
+            }
+          },
+          "default": {
+            "description": "Error response describing why the operation failed.",
+            "content": {
+              "application/json": {
+                "schema": {
+                  "$ref": "#/components/schemas/ErrorResponse"
+                }
+              }
+            }
+          }
+        }
+      }
+    },
+    "/flow/api/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/Connection": {
+      "get": {
+        "tags": [
+          "Connection"
+        ],
+        "operationId": "Connection_ListConnections",
+        "parameters": [
+          {
+            "$ref": "#/components/parameters/subscriptionIdParameter"
+          },
+          {
+            "$ref": "#/components/parameters/resourceGroupNameParameter"
+          },
+          {
+            "$ref": "#/components/parameters/workspaceNameParameter"
+          }
+        ],
+        "responses": {
+          "200": {
+            "description": "Success",
+            "content": {
+              "application/json": {
+                "schema": {
+                  "type": "array",
+                  "items": {
+                    "$ref": "#/components/schemas/ConnectionEntity"
+                  }
+                }
+              }
+            }
+          },
+          "default": {
+            "description": "Error response describing why the operation failed.",
+            "content": {
+              "application/json": {
+                "schema": {
+                  "$ref": "#/components/schemas/ErrorResponse"
+                }
+              }
+            }
+          }
+        }
+      }
+    },
+    "/flow/api/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/Connection/specs": {
+      "get": {
+        "tags": [
+          "Connection"
+        ],
+        "operationId": "Connection_ListConnectionSpecs",
+        "parameters": [
+          {
+            "$ref": "#/components/parameters/subscriptionIdParameter"
+          },
+          {
+            "$ref": "#/components/parameters/resourceGroupNameParameter"
+          },
+          {
+            "$ref": "#/components/parameters/workspaceNameParameter"
+          }
+        ],
+        "responses": {
+          "200": {
+            "description": "Success",
+            "content": {
+              "application/json": {
+                "schema": {
+                  "type": "array",
+                  "items": {
+                    "$ref": "#/components/schemas/ConnectionSpec"
+                  }
+                }
+              }
+            }
+          },
+          "default": {
+            "description": "Error response describing why the operation failed.",
+            "content": {
+              "application/json": {
+                "schema": {
+                  "$ref": "#/components/schemas/ErrorResponse"
+                }
+              }
+            }
+          }
+        }
+      }
+    },
+    "/flow/api/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/Connections/{connectionName}": {
+      "post": {
+        "tags": [
+          "Connections"
+        ],
+        "operationId": "Connections_CreateConnection",
+        "parameters": [
+          {
+            "$ref": "#/components/parameters/subscriptionIdParameter"
+          },
+          {
+            "$ref": "#/components/parameters/resourceGroupNameParameter"
+          },
+          {
+            "$ref": "#/components/parameters/workspaceNameParameter"
+          },
+          {
+            "name": "connectionName",
+            "in": "path",
+            "required": true,
+            "schema": {
+              "type": "string"
+            }
+          }
+        ],
+        "requestBody": {
+          "content": {
+            "application/json": {
+              "schema": {
+                "$ref": "#/components/schemas/CreateOrUpdateConnectionRequestDto"
+              }
+            }
+          }
+        },
+        "responses": {
+          "200": {
+            "description": "Success",
+            "content": {
+              "application/json": {
+                "schema": {
+                  "$ref": "#/components/schemas/ConnectionDto"
+                }
+              }
+            }
+          },
+          "default": {
+            "description": "Error response describing why the operation failed.",
+            "content": {
+              "application/json": {
+                "schema": {
+                  "$ref": "#/components/schemas/ErrorResponse"
+                }
+              }
+            }
+          }
+        }
+      },
+      "put": {
+        "tags": [
+          "Connections"
+        ],
+        "operationId": "Connections_UpdateConnection",
+        "parameters": [
+          {
+            "$ref": "#/components/parameters/subscriptionIdParameter"
+          },
+          {
+            "$ref": "#/components/parameters/resourceGroupNameParameter"
+          },
+          {
+            "$ref": "#/components/parameters/workspaceNameParameter"
+          },
+          {
+            "name": "connectionName",
+            "in": "path",
+            "required": true,
+            "schema": {
+              "type": "string"
+            }
+          }
+        ],
+        "requestBody": {
+          "content": {
+            "application/json": {
+              "schema": {
+                "$ref": "#/components/schemas/CreateOrUpdateConnectionRequestDto"
+              }
+            }
+          }
+        },
+        "responses": {
+          "200": {
+            "description": "Success",
+            "content": {
+              "application/json": {
+                "schema": {
+                  "$ref": "#/components/schemas/ConnectionDto"
+                }
+              }
+            }
+          },
+          "default": {
+            "description": "Error response describing why the operation failed.",
+            "content": {
+              "application/json": {
+                "schema": {
+                  "$ref": "#/components/schemas/ErrorResponse"
+                }
+              }
+            }
+          }
+        }
+      },
+      "get": {
+        "tags": [
+          "Connections"
+        ],
+        "operationId": "Connections_GetConnection",
+        "parameters": [
+          {
+            "$ref": "#/components/parameters/subscriptionIdParameter"
+          },
+          {
+            "$ref": "#/components/parameters/resourceGroupNameParameter"
+          },
+          {
+            "$ref": "#/components/parameters/workspaceNameParameter"
+          },
+          {
+            "name": "connectionName",
+            "in": "path",
+            "required": true,
+            "schema": {
+              "type": "string"
+            }
+          }
+        ],
+        "responses": {
+          "200": {
+            "description": "Success",
+            "content": {
+              "application/json": {
+                "schema": {
+                  "$ref": "#/components/schemas/ConnectionDto"
+                }
+              }
+            }
+          },
+          "default": {
+            "description": "Error response describing why the operation failed.",
+            "content": {
+              "application/json": {
+                "schema": {
+                  "$ref": "#/components/schemas/ErrorResponse"
+                }
+              }
+            }
+          }
+        }
+      },
+      "delete": {
+        "tags": [
+          "Connections"
+        ],
+        "operationId": "Connections_DeleteConnection",
+        "parameters": [
+          {
+            "$ref": "#/components/parameters/subscriptionIdParameter"
+          },
+          {
+            "$ref": "#/components/parameters/resourceGroupNameParameter"
+          },
+          {
+            "$ref": "#/components/parameters/workspaceNameParameter"
+          },
+          {
+            "name": "connectionName",
+            "in": "path",
+            "required": true,
+            "schema": {
+              "type": "string"
+            }
+          }
+        ],
+        "responses": {
+          "200": {
+            "description": "Success",
+            "content": {
+              "application/json": {
+                "schema": {
+                  "$ref": "#/components/schemas/ConnectionDto"
+                }
+              }
+            }
+          },
+          "default": {
+            "description": "Error response describing why the operation failed.",
+            "content": {
+              "application/json": {
+                "schema": {
+                  "$ref": "#/components/schemas/ErrorResponse"
+                }
+              }
+            }
+          }
+        }
+      }
+    },
+    "/flow/api/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/Connections/{connectionName}/listsecrets": {
+      "get": {
+        "tags": [
+          "Connections"
+        ],
+        "operationId": "Connections_GetConnectionWithSecrets",
+        "parameters": [
+          {
+            "$ref": "#/components/parameters/subscriptionIdParameter"
+          },
+          {
+            "$ref": "#/components/parameters/resourceGroupNameParameter"
+          },
+          {
+            "$ref": "#/components/parameters/workspaceNameParameter"
+          },
+          {
+            "name": "connectionName",
+            "in": "path",
+            "required": true,
+            "schema": {
+              "type": "string"
+            }
+          }
+        ],
+        "responses": {
+          "200": {
+            "description": "Success",
+            "content": {
+              "application/json": {
+                "schema": {
+                  "$ref": "#/components/schemas/ConnectionDto"
+                }
+              }
+            }
+          },
+          "default": {
+            "description": "Error response describing why the operation failed.",
+            "content": {
+              "application/json": {
+                "schema": {
+                  "$ref": "#/components/schemas/ErrorResponse"
+                }
+              }
+            }
+          }
+        }
+      }
+    },
+    "/flow/api/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/Connections": {
+      "get": {
+        "tags": [
+          "Connections"
+        ],
+        "operationId": "Connections_ListConnections",
+        "parameters": [
+          {
+            "$ref": "#/components/parameters/subscriptionIdParameter"
+          },
+          {
+            "$ref": "#/components/parameters/resourceGroupNameParameter"
+          },
+          {
+            "$ref": "#/components/parameters/workspaceNameParameter"
+          }
+        ],
+        "responses": {
+          "200": {
+            "description": "Success",
+            "content": {
+              "application/json": {
+                "schema": {
+                  "type": "array",
+                  "items": {
+                    "$ref": "#/components/schemas/ConnectionDto"
+                  }
+                }
+              }
+            }
+          },
+          "default": {
+            "description": "Error response describing why the operation failed.",
+            "content": {
+              "application/json": {
+                "schema": {
+                  "$ref": "#/components/schemas/ErrorResponse"
+                }
+              }
+            }
+          }
+        }
+      }
+    },
+    "/flow/api/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/Connections/specs": {
+      "get": {
+        "tags": [
+          "Connections"
+        ],
+        "operationId": "Connections_ListConnectionSpecs",
+        "parameters": [
+          {
+            "$ref": "#/components/parameters/subscriptionIdParameter"
+          },
+          {
+            "$ref": "#/components/parameters/resourceGroupNameParameter"
+          },
+          {
+            "$ref": "#/components/parameters/workspaceNameParameter"
+          }
+        ],
+        "responses": {
+          "200": {
+            "description": "Success",
+            "content": {
+              "application/json": {
+                "schema": {
+                  "type": "array",
+                  "items": {
+                    "$ref": "#/components/schemas/WorkspaceConnectionSpec"
+                  }
+                }
+              }
+            }
+          },
+          "default": {
+            "description": "Error response describing why the operation failed.",
+            "content": {
+              "application/json": {
+                "schema": {
+                  "$ref": "#/components/schemas/ErrorResponse"
+                }
+              }
+            }
+          }
+        }
+      }
+    },
+    "/flow/api/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/Connections/{connectionName}/AzureOpenAIDeployments": {
+      "get": {
+        "tags": [
+          "Connections"
+        ],
+        "operationId": "Connections_ListAzureOpenAIDeployments",
+        "parameters": [
+          {
+            "$ref": "#/components/parameters/subscriptionIdParameter"
+          },
+          {
+            "$ref": "#/components/parameters/resourceGroupNameParameter"
+          },
+          {
+            "$ref": "#/components/parameters/workspaceNameParameter"
+          },
+          {
+            "name": "connectionName",
+            "in": "path",
+            "required": true,
+            "schema": {
+              "type": "string"
+            }
+          }
+        ],
+        "responses": {
+          "200": {
+            "description": "Success",
+            "content": {
+              "application/json": {
+                "schema": {
+                  "type": "array",
+                  "items": {
+                    "$ref": "#/components/schemas/AzureOpenAIDeploymentDto"
+                  }
+                }
+              }
+            }
+          },
+          "default": {
+            "description": "Error response describing why the operation failed.",
+            "content": {
+              "application/json": {
+                "schema": {
+                  "$ref": "#/components/schemas/ErrorResponse"
+                }
+              }
+            }
+          }
+        }
+      }
+    },
+    "/flow/api/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/Experiments/{experimentId}": {
+      "post": {
+        "tags": [
+          "Experiments"
+        ],
+        "operationId": "Experiments_SubmitExperiment",
+        "parameters": [
+          {
+            "$ref": "#/components/parameters/subscriptionIdParameter"
+          },
+          {
+            "$ref": "#/components/parameters/resourceGroupNameParameter"
+          },
+          {
+            "$ref": "#/components/parameters/workspaceNameParameter"
+          },
+          {
+            "name": "experimentId",
+            "in": "path",
+            "required": true,
+            "schema": {
+              "type": "string"
+            }
+          },
+          {
+            "name": "experimentName",
+            "in": "query",
+            "schema": {
+              "type": "string"
+            }
+          },
+          {
+            "name": "description",
+            "in": "query",
+            "schema": {
+              "type": "string"
+            }
+          }
+        ],
+        "requestBody": {
+          "content": {
+            "application/json": {
+              "schema": {
+                "$ref": "#/components/schemas/SubmitExperimentRequest"
+              }
+            }
+          }
+        },
+        "responses": {
+          "200": {
+            "description": "Success",
+            "content": {
+              "application/json": {
+                "schema": {
+                  "$ref": "#/components/schemas/FlowDto"
+                }
+              }
+            }
+          },
+          "default": {
+            "description": "Error response describing why the operation failed.",
+            "content": {
+              "application/json": {
+                "schema": {
+                  "$ref": "#/components/schemas/ErrorResponse"
+                }
+              }
+            }
+          }
+        }
+      },
+      "get": {
+        "tags": [
+          "Experiments"
+        ],
+        "operationId": "Experiments_GetExperiment",
+        "parameters": [
+          {
+            "$ref": "#/components/parameters/subscriptionIdParameter"
+          },
+          {
+            "$ref": "#/components/parameters/resourceGroupNameParameter"
+          },
+          {
+            "$ref": "#/components/parameters/workspaceNameParameter"
+          },
+          {
+            "name": "experimentId",
+            "in": "path",
+            "required": true,
+            "schema": {
+              "type": "string"
+            }
+          }
+        ],
+        "responses": {
+          "200": {
+            "description": "Success",
+            "content": {
+              "application/json": {
+                "schema": {
+                  "$ref": "#/components/schemas/ExperimentDefinition"
+                }
+              }
+            }
+          },
+          "default": {
+            "description": "Error response describing why the operation failed.",
+            "content": {
+              "application/json": {
+                "schema": {
+                  "$ref": "#/components/schemas/ErrorResponse"
+                }
+              }
+            }
+          }
+        }
+      }
+    },
+    "/flow/api/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/ExperimentTemplates/{experimentTemplateId}": {
+      "post": {
+        "tags": [
+          "ExperimentTemplates"
+        ],
+        "operationId": "ExperimentTemplates_CreateExperimentTemplate",
+        "parameters": [
+          {
+            "$ref": "#/components/parameters/subscriptionIdParameter"
+          },
+          {
+            "$ref": "#/components/parameters/resourceGroupNameParameter"
+          },
+          {
+            "$ref": "#/components/parameters/workspaceNameParameter"
+          },
+          {
+            "name": "experimentTemplateId",
+            "in": "path",
+            "required": true,
+            "schema": {
+              "type": "string"
+            }
+          }
+        ],
+        "requestBody": {
+          "content": {
+            "application/json": {
+              "schema": {
+                "$ref": "#/components/schemas/CreateExperimentTemplateRequest"
+              }
+            }
+          }
+        },
+        "responses": {
+          "200": {
+            "description": "Success",
+            "content": {
+              "application/json": {
+                "schema": {
+                  "$ref": "#/components/schemas/ExperimentTemplateDto"
+                }
+              }
+            }
+          },
+          "default": {
+            "description": "Error response describing why the operation failed.",
+            "content": {
+              "application/json": {
+                "schema": {
+                  "$ref": "#/components/schemas/ErrorResponse"
+                }
+              }
+            }
+          }
+        }
+      },
+      "get": {
+        "tags": [
+          "ExperimentTemplates"
+        ],
+        "operationId": "ExperimentTemplates_GetExperimentTemplate",
+        "parameters": [
+          {
+            "$ref": "#/components/parameters/subscriptionIdParameter"
+          },
+          {
+            "$ref": "#/components/parameters/resourceGroupNameParameter"
+          },
+          {
+            "$ref": "#/components/parameters/workspaceNameParameter"
+          },
+          {
+            "name": "experimentTemplateId",
+            "in": "path",
+            "required": true,
+            "schema": {
+              "type": "string"
+            }
+          }
+        ],
+        "responses": {
+          "200": {
+            "description": "Success",
+            "content": {
+              "application/json": {
+                "schema": {
+                  "$ref": "#/components/schemas/ExperimentTemplateDto"
+                }
+              }
+            }
+          },
+          "default": {
+            "description": "Error response describing why the operation failed.",
+            "content": {
+              "application/json": {
+                "schema": {
+                  "$ref": "#/components/schemas/ErrorResponse"
+                }
+              }
+            }
+          }
+        }
+      }
+    },
+    "/flow/api/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/FlowRuntimes/{runtimeName}": {
+      "post": {
+        "tags": [
+          "FlowRuntimes"
+        ],
+        "operationId": "FlowRuntimes_CreateRuntime",
+        "parameters": [
+          {
+            "$ref": "#/components/parameters/subscriptionIdParameter"
+          },
+          {
+            "$ref": "#/components/parameters/resourceGroupNameParameter"
+          },
+          {
+            "$ref": "#/components/parameters/workspaceNameParameter"
+          },
+          {
+            "name": "runtimeName",
+            "in": "path",
+            "required": true,
+            "schema": {
+              "type": "string"
+            }
+          },
+          {
+            "name": "asyncCall",
+            "in": "query",
+            "schema": {
+              "type": "boolean",
+              "default": false
+            }
+          },
+          {
+            "name": "msiToken",
+            "in": "query",
+            "schema": {
+              "type": "boolean",
+              "default": false
+            }
+          },
+          {
+            "name": "skipPortCheck",
+            "in": "query",
+            "schema": {
+              "type": "boolean",
+              "default": false
+            }
+          }
+        ],
+        "requestBody": {
+          "content": {
+            "application/json": {
+              "schema": {
+                "$ref": "#/components/schemas/CreateFlowRuntimeRequest"
+              }
+            }
+          }
+        },
+        "responses": {
+          "200": {
+            "description": "Success",
+            "content": {
+              "application/json": {
+                "schema": {
+                  "$ref": "#/components/schemas/FlowRuntimeDto"
+                }
+              }
+            }
+          },
+          "default": {
+            "description": "Error response describing why the operation failed.",
+            "content": {
+              "application/json": {
+                "schema": {
+                  "$ref": "#/components/schemas/ErrorResponse"
+                }
+              }
+            }
+          }
+        }
+      },
+      "put": {
+        "tags": [
+          "FlowRuntimes"
+        ],
+        "operationId": "FlowRuntimes_UpdateRuntime",
+        "parameters": [
+          {
+            "$ref": "#/components/parameters/subscriptionIdParameter"
+          },
+          {
+            "$ref": "#/components/parameters/resourceGroupNameParameter"
+          },
+          {
+            "$ref": "#/components/parameters/workspaceNameParameter"
+          },
+          {
+            "name": "runtimeName",
+            "in": "path",
+            "required": true,
+            "schema": {
+              "type": "string"
+            }
+          },
+          {
+            "name": "asyncCall",
+            "in": "query",
+            "schema": {
+              "type": "boolean",
+              "default": false
+            }
+          },
+          {
+            "name": "msiToken",
+            "in": "query",
+            "schema": {
+              "type": "boolean",
+              "default": false
+            }
+          },
+          {
+            "name": "skipPortCheck",
+            "in": "query",
+            "schema": {
+              "type": "boolean",
+              "default": false
+            }
+          }
+        ],
+        "requestBody": {
+          "content": {
+            "application/json": {
+              "schema": {
+                "$ref": "#/components/schemas/UpdateFlowRuntimeRequest"
+              }
+            }
+          }
+        },
+        "responses": {
+          "200": {
+            "description": "Success",
+            "content": {
+              "application/json": {
+                "schema": {
+                  "$ref": "#/components/schemas/FlowRuntimeDto"
+                }
+              }
+            }
+          },
+          "default": {
+            "description": "Error response describing why the operation failed.",
+            "content": {
+              "application/json": {
+                "schema": {
+                  "$ref": "#/components/schemas/ErrorResponse"
+                }
+              }
+            }
+          }
+        }
+      },
+      "get": {
+        "tags": [
+          "FlowRuntimes"
+        ],
+        "operationId": "FlowRuntimes_GetRuntime",
+        "parameters": [
+          {
+            "$ref": "#/components/parameters/subscriptionIdParameter"
+          },
+          {
+            "$ref": "#/components/parameters/resourceGroupNameParameter"
+          },
+          {
+            "$ref": "#/components/parameters/workspaceNameParameter"
+          },
+          {
+            "name": "runtimeName",
+            "in": "path",
+            "required": true,
+            "schema": {
+              "type": "string"
+            }
+          }
+        ],
+        "responses": {
+          "200": {
+            "description": "Success",
+            "content": {
+              "application/json": {
+                "schema": {
+                  "$ref": "#/components/schemas/FlowRuntimeDto"
+                }
+              }
+            }
+          },
+          "default": {
+            "description": "Error response describing why the operation failed.",
+            "content": {
+              "application/json": {
+                "schema": {
+                  "$ref": "#/components/schemas/ErrorResponse"
+                }
+              }
+            }
+          }
+        }
+      },
+      "delete": {
+        "tags": [
+          "FlowRuntimes"
+        ],
+        "operationId": "FlowRuntimes_DeleteRuntime",
+        "parameters": [
+          {
+            "$ref": "#/components/parameters/subscriptionIdParameter"
+          },
+          {
+            "$ref": "#/components/parameters/resourceGroupNameParameter"
+          },
+          {
+            "$ref": "#/components/parameters/workspaceNameParameter"
+          },
+          {
+            "name": "runtimeName",
+            "in": "path",
+            "required": true,
+            "schema": {
+              "type": "string"
+            }
+          },
+          {
+            "name": "asyncCall",
+            "in": "query",
+            "schema": {
+              "type": "boolean",
+              "default": false
+            }
+          },
+          {
+            "name": "msiToken",
+            "in": "query",
+            "schema": {
+              "type": "boolean",
+              "default": false
+            }
+          }
+        ],
+        "responses": {
+          "200": {
+            "description": "Success",
+            "content": {
+              "application/json": {
+                "schema": {
+                  "$ref": "#/components/schemas/FlowRuntimeDto"
+                }
+              }
+            }
+          },
+          "default": {
+            "description": "Error response describing why the operation failed.",
+            "content": {
+              "application/json": {
+                "schema": {
+                  "$ref": "#/components/schemas/ErrorResponse"
+                }
+              }
+            }
+          }
+        }
+      }
+    },
+    "/flow/api/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/FlowRuntimes/checkCiAvailability": {
+      "get": {
+        "tags": [
+          "FlowRuntimes"
+        ],
+        "operationId": "FlowRuntimes_CheckCiAvailability",
+        "parameters": [
+          {
+            "$ref": "#/components/parameters/subscriptionIdParameter"
+          },
+          {
+            "$ref": "#/components/parameters/resourceGroupNameParameter"
+          },
+          {
+            "$ref": "#/components/parameters/workspaceNameParameter"
+          },
+          {
+            "name": "computeInstanceName",
+            "in": "query",
+            "required": true,
+            "schema": {
+              "type": "string"
+            }
+          },
+          {
+            "name": "customAppName",
+            "in": "query",
+            "required": true,
+            "schema": {
+              "type": "string"
+            }
+          }
+        ],
+        "responses": {
+          "200": {
+            "description": "Success",
+            "content": {
+              "application/json": {
+                "schema": {
+                  "$ref": "#/components/schemas/AvailabilityResponse"
+                }
+              }
+            }
+          },
+          "default": {
+            "description": "Error response describing why the operation failed.",
+            "content": {
+              "application/json": {
+                "schema": {
+                  "$ref": "#/components/schemas/ErrorResponse"
+                }
+              }
+            }
+          }
+        }
+      }
+    },
+    "/flow/api/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/FlowRuntimes/checkMirAvailability": {
+      "get": {
+        "tags": [
+          "FlowRuntimes"
+        ],
+        "operationId": "FlowRuntimes_CheckMirAvailability",
+        "parameters": [
+          {
+            "$ref": "#/components/parameters/subscriptionIdParameter"
+          },
+          {
+            "$ref": "#/components/parameters/resourceGroupNameParameter"
+          },
+          {
+            "$ref": "#/components/parameters/workspaceNameParameter"
+          },
+          {
+            "name": "endpointName",
+            "in": "query",
+            "required": true,
+            "schema": {
+              "type": "string"
+            }
+          },
+          {
+            "name": "deploymentName",
+            "in": "query",
+            "required": true,
+            "schema": {
+              "type": "string"
+            }
+          }
+        ],
+        "responses": {
+          "200": {
+            "description": "Success",
+            "content": {
+              "application/json": {
+                "schema": {
+                  "$ref": "#/components/schemas/AvailabilityResponse"
+                }
+              }
+            }
+          },
+          "default": {
+            "description": "Error response describing why the operation failed.",
+            "content": {
+              "application/json": {
+                "schema": {
+                  "$ref": "#/components/schemas/ErrorResponse"
+                }
+              }
+            }
+          }
+        }
+      }
+    },
+    "/flow/api/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/FlowRuntimes/{runtimeName}/needUpgrade": {
+      "get": {
+        "tags": [
+          "FlowRuntimes"
+        ],
+        "operationId": "FlowRuntimes_CheckRuntimeUpgrade",
+        "parameters": [
+          {
+            "$ref": "#/components/parameters/subscriptionIdParameter"
+          },
+          {
+            "$ref": "#/components/parameters/resourceGroupNameParameter"
+          },
+          {
+            "$ref": "#/components/parameters/workspaceNameParameter"
+          },
+          {
+            "name": "runtimeName",
+            "in": "path",
+            "required": true,
+            "schema": {
+              "type": "string"
+            }
+          }
+        ],
+        "responses": {
+          "200": {
+            "description": "Success",
+            "content": {
+              "application/json": {
+                "schema": {
+                  "type": "boolean"
+                }
+              }
+            }
+          },
+          "default": {
+            "description": "Error response describing why the operation failed.",
+            "content": {
+              "application/json": {
+                "schema": {
+                  "$ref": "#/components/schemas/ErrorResponse"
+                }
+              }
+            }
+          }
+        }
+      }
+    },
+    "/flow/api/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/FlowRuntimes/{runtimeName}/capability": {
+      "get": {
+        "tags": [
+          "FlowRuntimes"
+        ],
+        "operationId": "FlowRuntimes_GetRuntimeCapability",
+        "parameters": [
+          {
+            "$ref": "#/components/parameters/subscriptionIdParameter"
+          },
+          {
+            "$ref": "#/components/parameters/resourceGroupNameParameter"
+          },
+          {
+            "$ref": "#/components/parameters/workspaceNameParameter"
+          },
+          {
+            "name": "runtimeName",
+            "in": "path",
+            "required": true,
+            "schema": {
+              "type": "string"
+            }
+          }
+        ],
+        "responses": {
+          "200": {
+            "description": "Success",
+            "content": {
+              "application/json": {
+                "schema": {
+                  "$ref": "#/components/schemas/FlowRuntimeCapability"
+                }
+              }
+            }
+          },
+          "default": {
+            "description": "Error response describing why the operation failed.",
+            "content": {
+              "application/json": {
+                "schema": {
+                  "$ref": "#/components/schemas/ErrorResponse"
+                }
+              }
+            }
+          }
+        }
+      }
+    },
+    "/flow/api/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/FlowRuntimes/latestConfig": {
+      "get": {
+        "tags": [
+          "FlowRuntimes"
+        ],
+        "operationId": "FlowRuntimes_GetRuntimeLatestConfig",
+        "parameters": [
+          {
+            "$ref": "#/components/parameters/subscriptionIdParameter"
+          },
+          {
+            "$ref": "#/components/parameters/resourceGroupNameParameter"
+          },
+          {
+            "$ref": "#/components/parameters/workspaceNameParameter"
+          }
+        ],
+        "responses": {
+          "200": {
+            "description": "Success",
+            "content": {
+              "application/json": {
+                "schema": {
+                  "$ref": "#/components/schemas/RuntimeConfiguration"
+                }
+              }
+            }
+          },
+          "default": {
+            "description": "Error response describing why the operation failed.",
+            "content": {
+              "application/json": {
+                "schema": {
+                  "$ref": "#/components/schemas/ErrorResponse"
+                }
+              }
+            }
+          }
+        }
+      }
+    },
+    "/flow/api/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/FlowRuntimes": {
+      "get": {
+        "tags": [
+          "FlowRuntimes"
+        ],
+        "operationId": "FlowRuntimes_ListRuntimes",
+        "parameters": [
+          {
+            "$ref": "#/components/parameters/subscriptionIdParameter"
+          },
+          {
+            "$ref": "#/components/parameters/resourceGroupNameParameter"
+          },
+          {
+            "$ref": "#/components/parameters/workspaceNameParameter"
+          }
+        ],
+        "responses": {
+          "200": {
+            "description": "Success",
+            "content": {
+              "application/json": {
+                "schema": {
+                  "type": "array",
+                  "items": {
+                    "$ref": "#/components/schemas/FlowRuntimeDto"
+                  }
+                }
+              }
+            }
+          },
+          "default": {
+            "description": "Error response describing why the operation failed.",
+            "content": {
+              "application/json": {
+                "schema": {
+                  "$ref": "#/components/schemas/ErrorResponse"
+                }
+              }
+            }
+          }
+        }
+      }
+    },
+    "/flow/api/runtimes/latestConfig": {
+      "get": {
+        "tags": [
+          "FlowRuntimesWorkspaceIndependent"
+        ],
+        "operationId": "FlowRuntimesWorkspaceIndependent_GetRuntimeLatestConfig",
+        "responses": {
+          "200": {
+            "description": "Success",
+            "content": {
+              "application/json": {
+                "schema": {
+                  "$ref": "#/components/schemas/RuntimeConfiguration"
+                }
+              }
+            }
+          },
+          "default": {
+            "description": "Error response describing why the operation failed.",
+            "content": {
+              "application/json": {
+                "schema": {
+                  "$ref": "#/components/schemas/ErrorResponse"
+                }
+              }
+            }
+          }
+        }
+      }
+    },
+    "/flow/api/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/Flows": {
+      "post": {
+        "tags": [
+          "Flows"
+        ],
+        "operationId": "Flows_CreateFlow",
+        "parameters": [
+          {
+            "$ref": "#/components/parameters/subscriptionIdParameter"
+          },
+          {
+            "$ref": "#/components/parameters/resourceGroupNameParameter"
+          },
+          {
+            "$ref": "#/components/parameters/workspaceNameParameter"
+          },
+          {
+            "name": "experimentId",
+            "in": "query",
+            "schema": {
+              "type": "string"
+            }
+          }
+        ],
+        "requestBody": {
+          "content": {
+            "application/json": {
+              "schema": {
+                "$ref": "#/components/schemas/CreateFlowRequest"
+              }
+            }
+          }
+        },
+        "responses": {
+          "200": {
+            "description": "Success",
+            "content": {
+              "application/json": {
+                "schema": {
+                  "$ref": "#/components/schemas/FlowDto"
+                }
+              }
+            }
+          },
+          "default": {
+            "description": "Error response describing why the operation failed.",
+            "content": {
+              "application/json": {
+                "schema": {
+                  "$ref": "#/components/schemas/ErrorResponse"
+                }
+              }
+            }
+          }
+        }
+      },
+      "get": {
+        "tags": [
+          "Flows"
+        ],
+        "operationId": "Flows_ListFlows",
+        "parameters": [
+          {
+            "$ref": "#/components/parameters/subscriptionIdParameter"
+          },
+          {
+            "$ref": "#/components/parameters/resourceGroupNameParameter"
+          },
+          {
+            "$ref": "#/components/parameters/workspaceNameParameter"
+          },
+          {
+            "name": "experimentId",
+            "in": "query",
+            "schema": {
+              "type": "string"
+            }
+          },
+          {
+            "name": "ownedOnly",
+            "in": "query",
+            "schema": {
+              "type": "boolean"
+            }
+          },
+          {
+            "name": "flowType",
+            "in": "query",
+            "schema": {
+              "$ref": "#/components/schemas/FlowType"
+            }
+          },
+          {
+            "name": "listViewType",
+            "in": "query",
+            "schema": {
+              "$ref": "#/components/schemas/ListViewType"
+            }
+          }
+        ],
+        "responses": {
+          "200": {
+            "description": "Success",
+            "content": {
+              "application/json": {
+                "schema": {
+                  "type": "array",
+                  "items": {
+                    "$ref": "#/components/schemas/FlowBaseDto"
+                  }
+                }
+              }
+            }
+          },
+          "default": {
+            "description": "Error response describing why the operation failed.",
+            "content": {
+              "application/json": {
+                "schema": {
+                  "$ref": "#/components/schemas/ErrorResponse"
+                }
+              }
+            }
+          }
+        }
+      }
+    },
+    "/flow/api/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/Flows/{flowId}": {
+      "put": {
+        "tags": [
+          "Flows"
+        ],
+        "operationId": "Flows_UpdateFlow",
+        "parameters": [
+          {
+            "$ref": "#/components/parameters/subscriptionIdParameter"
+          },
+          {
+            "$ref": "#/components/parameters/resourceGroupNameParameter"
+          },
+          {
+            "$ref": "#/components/parameters/workspaceNameParameter"
+          },
+          {
+            "name": "flowId",
+            "in": "path",
+            "required": true,
+            "schema": {
+              "type": "string"
+            }
+          },
+          {
+            "name": "experimentId",
+            "in": "query",
+            "required": true,
+            "schema": {
+              "type": "string"
+            }
+          }
+        ],
+        "requestBody": {
+          "content": {
+            "application/json": {
+              "schema": {
+                "$ref": "#/components/schemas/UpdateFlowRequest"
+              }
+            }
+          }
+        },
+        "responses": {
+          "200": {
+            "description": "Success",
+            "content": {
+              "application/json": {
+                "schema": {
+                  "type": "string"
+                }
+              }
+            }
+          },
+          "default": {
+            "description": "Error response describing why the operation failed.",
+            "content": {
+              "application/json": {
+                "schema": {
+                  "$ref": "#/components/schemas/ErrorResponse"
+                }
+              }
+            }
+          }
+        }
+      },
+      "patch": {
+        "tags": [
+          "Flows"
+        ],
+        "operationId": "Flows_PatchFlow",
+        "parameters": [
+          {
+            "$ref": "#/components/parameters/subscriptionIdParameter"
+          },
+          {
+            "$ref": "#/components/parameters/resourceGroupNameParameter"
+          },
+          {
+            "$ref": "#/components/parameters/workspaceNameParameter"
+          },
+          {
+            "name": "flowId",
+            "in": "path",
+            "required": true,
+            "schema": {
+              "type": "string"
+            }
+          },
+          {
+            "name": "experimentId",
+            "in": "query",
+            "required": true,
+            "schema": {
+              "type": "string"
+            }
+          }
+        ],
+        "requestBody": {
+          "content": {
+            "application/json-patch+json": {
+              "schema": {
+                "$ref": "#/components/schemas/PatchFlowRequest"
+              }
+            }
+          }
+        },
+        "responses": {
+          "200": {
+            "description": "Success",
+            "content": {
+              "application/json": {
+                "schema": {
+                  "type": "string"
+                }
+              }
+            }
+          },
+          "default": {
+            "description": "Error response describing why the operation failed.",
+            "content": {
+              "application/json": {
+                "schema": {
+                  "$ref": "#/components/schemas/ErrorResponse"
+                }
+              }
+            }
+          }
+        }
+      },
+      "get": {
+        "tags": [
+          "Flows"
+        ],
+        "operationId": "Flows_GetFlow",
+        "parameters": [
+          {
+            "$ref": "#/components/parameters/subscriptionIdParameter"
+          },
+          {
+            "$ref": "#/components/parameters/resourceGroupNameParameter"
+          },
+          {
+            "$ref": "#/components/parameters/workspaceNameParameter"
+          },
+          {
+            "name": "flowId",
+            "in": "path",
+            "required": true,
+            "schema": {
+              "type": "string"
+            }
+          },
+          {
+            "name": "experimentId",
+            "in": "query",
+            "required": true,
+            "schema": {
+              "type": "string"
+            }
+          }
+        ],
+        "responses": {
+          "200": {
+            "description": "Success",
+            "content": {
+              "application/json": {
+                "schema": {
+                  "$ref": "#/components/schemas/FlowDto"
+                }
+              }
+            }
+          },
+          "default": {
+            "description": "Error response describing why the operation failed.",
+            "content": {
+              "application/json": {
+                "schema": {
+                  "$ref": "#/components/schemas/ErrorResponse"
+                }
+              }
+            }
+          }
+        }
+      }
+    },
+    "/flow/api/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/Flows/submit": {
+      "post": {
+        "tags": [
+          "Flows"
+        ],
+        "operationId": "Flows_SubmitFlow",
+        "parameters": [
+          {
+            "$ref": "#/components/parameters/subscriptionIdParameter"
+          },
+          {
+            "$ref": "#/components/parameters/resourceGroupNameParameter"
+          },
+          {
+            "$ref": "#/components/parameters/workspaceNameParameter"
+          },
+          {
+            "name": "experimentId",
+            "in": "query",
+            "required": true,
+            "schema": {
+              "type": "string"
+            }
+          },
+          {
+            "name": "endpointName",
+            "in": "query",
+            "schema": {
+              "type": "string"
+            }
+          }
+        ],
+        "requestBody": {
+          "content": {
+            "application/json": {
+              "schema": {
+                "$ref": "#/components/schemas/SubmitFlowRequest"
+              }
+            }
+          }
+        },
+        "responses": {
+          "200": {
+            "description": "Success",
+            "content": {
+              "application/json": {
+                "schema": {
+                  "$ref": "#/components/schemas/FlowRunResult"
+                }
+              }
+            }
+          },
+          "default": {
+            "description": "Error response describing why the operation failed.",
+            "content": {
+              "application/json": {
+                "schema": {
+                  "$ref": "#/components/schemas/ErrorResponse"
+                }
+              }
+            }
+          }
+        }
+      }
+    },
+    "/flow/api/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/Flows/{flowId}/{flowRunId}/status": {
+      "get": {
+        "tags": [
+          "Flows"
+        ],
+        "operationId": "Flows_GetFlowRunStatus",
+        "parameters": [
+          {
+            "$ref": "#/components/parameters/subscriptionIdParameter"
+          },
+          {
+            "$ref": "#/components/parameters/resourceGroupNameParameter"
+          },
+          {
+            "$ref": "#/components/parameters/workspaceNameParameter"
+          },
+          {
+            "name": "flowId",
+            "in": "path",
+            "required": true,
+            "schema": {
+              "type": "string"
+            }
+          },
+          {
+            "name": "flowRunId",
+            "in": "path",
+            "required": true,
+            "schema": {
+              "type": "string"
+            }
+          },
+          {
+            "name": "experimentId",
+            "in": "query",
+            "schema": {
+              "type": "string"
+            }
+          }
+        ],
+        "responses": {
+          "200": {
+            "description": "Success",
+            "content": {
+              "application/json": {
+                "schema": {
+                  "$ref": "#/components/schemas/FlowRunResult"
+                }
+              }
+            }
+          },
+          "default": {
+            "description": "Error response describing why the operation failed.",
+            "content": {
+              "application/json": {
+                "schema": {
+                  "$ref": "#/components/schemas/ErrorResponse"
+                }
+              }
+            }
+          }
+        }
+      }
+    },
+    "/flow/api/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/Flows/{flowId}/runs/{flowRunId}": {
+      "get": {
+        "tags": [
+          "Flows"
+        ],
+        "operationId": "Flows_GetFlowRunInfo",
+        "parameters": [
+          {
+            "$ref": "#/components/parameters/subscriptionIdParameter"
+          },
+          {
+            "$ref": "#/components/parameters/resourceGroupNameParameter"
+          },
+          {
+            "$ref": "#/components/parameters/workspaceNameParameter"
+          },
+          {
+            "name": "flowId",
+            "in": "path",
+            "required": true,
+            "schema": {
+              "type": "string"
+            }
+          },
+          {
+            "name": "flowRunId",
+            "in": "path",
+            "required": true,
+            "schema": {
+              "type": "string"
+            }
+          },
+          {
+            "name": "experimentId",
+            "in": "query",
+            "required": true,
+            "schema": {
+              "type": "string"
+            }
+          }
+        ],
+        "responses": {
+          "200": {
+            "description": "Success",
+            "content": {
+              "application/json": {
+                "schema": {
+                  "$ref": "#/components/schemas/FlowRunInfo"
+                }
+              }
+            }
+          },
+          "default": {
+            "description": "Error response describing why the operation failed.",
+            "content": {
+              "application/json": {
+                "schema": {
+                  "$ref": "#/components/schemas/ErrorResponse"
+                }
+              }
+            }
+          }
+        }
+      }
+    },
+    "/flow/api/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/Flows/{flowId}/runs/{flowRunId}/childRuns": {
+      "get": {
+        "tags": [
+          "Flows"
+        ],
+        "operationId": "Flows_GetFlowChildRuns",
+        "parameters": [
+          {
+            "$ref": "#/components/parameters/subscriptionIdParameter"
+          },
+          {
+            "$ref": "#/components/parameters/resourceGroupNameParameter"
+          },
+          {
+            "$ref": "#/components/parameters/workspaceNameParameter"
+          },
+          {
+            "name": "flowId",
+            "in": "path",
+            "required": true,
+            "schema": {
+              "type": "string"
+            }
+          },
+          {
+            "name": "flowRunId",
+            "in": "path",
+            "required": true,
+            "schema": {
+              "type": "string"
+            }
+          },
+          {
+            "name": "index",
+            "in": "query",
+            "schema": {
+              "type": "integer",
+              "format": "int32"
+            }
+          },
+          {
+            "name": "startIndex",
+            "in": "query",
+            "schema": {
+              "type": "integer",
+              "format": "int32"
+            }
+          },
+          {
+            "name": "endIndex",
+            "in": "query",
+            "schema": {
+              "type": "integer",
+              "format": "int32"
+            }
+          }
+        ],
+        "responses": {
+          "200": {
+            "description": "Success",
+            "content": {
+              "application/json": {
+                "schema": {
+                  "type": "array",
+                  "items": { }
+                }
+              }
+            }
+          },
+          "default": {
+            "description": "Error response describing why the operation failed.",
+            "content": {
+              "application/json": {
+                "schema": {
+                  "$ref": "#/components/schemas/ErrorResponse"
+                }
+              }
+            }
+          }
+        }
+      }
+    },
+    "/flow/api/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/Flows/{flowId}/runs/{flowRunId}/nodeRuns/{nodeName}": {
+      "get": {
+        "tags": [
+          "Flows"
+        ],
+        "operationId": "Flows_GetFlowNodeRuns",
+        "parameters": [
+          {
+            "$ref": "#/components/parameters/subscriptionIdParameter"
+          },
+          {
+            "$ref": "#/components/parameters/resourceGroupNameParameter"
+          },
+          {
+            "$ref": "#/components/parameters/workspaceNameParameter"
+          },
+          {
+            "name": "flowId",
+            "in": "path",
+            "required": true,
+            "schema": {
+              "type": "string"
+            }
+          },
+          {
+            "name": "flowRunId",
+            "in": "path",
+            "required": true,
+            "schema": {
+              "type": "string"
+            }
+          },
+          {
+            "name": "nodeName",
+            "in": "path",
+            "required": true,
+            "schema": {
+              "type": "string"
+            }
+          },
+          {
+            "name": "index",
+            "in": "query",
+            "schema": {
+              "type": "integer",
+              "format": "int32"
+            }
+          },
+          {
+            "name": "startIndex",
+            "in": "query",
+            "schema": {
+              "type": "integer",
+              "format": "int32"
+            }
+          },
+          {
+            "name": "endIndex",
+            "in": "query",
+            "schema": {
+              "type": "integer",
+              "format": "int32"
+            }
+          },
+          {
+            "name": "aggregation",
+            "in": "query",
+            "schema": {
+              "type": "boolean",
+              "default": false
+            }
+          }
+        ],
+        "responses": {
+          "200": {
+            "description": "Success",
+            "content": {
+              "application/json": {
+                "schema": {
+                  "type": "array",
+                  "items": { }
+                }
+              }
+            }
+          },
+          "default": {
+            "description": "Error response describing why the operation failed.",
+            "content": {
+              "application/json": {
+                "schema": {
+                  "$ref": "#/components/schemas/ErrorResponse"
+                }
+              }
+            }
+          }
+        }
+      }
+    },
+    "/flow/api/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/Flows/{flowId}/runs/{flowRunId}/nodeRuns/{nodeName}/basePath": {
+      "get": {
+        "tags": [
+          "Flows"
+        ],
+        "operationId": "Flows_GetFlowNodeRunBasePath",
+        "parameters": [
+          {
+            "$ref": "#/components/parameters/subscriptionIdParameter"
+          },
+          {
+            "$ref": "#/components/parameters/resourceGroupNameParameter"
+          },
+          {
+            "$ref": "#/components/parameters/workspaceNameParameter"
+          },
+          {
+            "name": "flowId",
+            "in": "path",
+            "required": true,
+            "schema": {
+              "type": "string"
+            }
+          },
+          {
+            "name": "flowRunId",
+            "in": "path",
+            "required": true,
+            "schema": {
+              "type": "string"
+            }
+          },
+          {
+            "name": "nodeName",
+            "in": "path",
+            "required": true,
+            "schema": {
+              "type": "string"
+            }
+          }
+        ],
+        "responses": {
+          "200": {
+            "description": "Success",
+            "content": {
+              "application/json": {
+                "schema": {
+                  "$ref": "#/components/schemas/FlowRunBasePath"
+                }
+              }
+            }
+          },
+          "default": {
+            "description": "Error response describing why the operation failed.",
+            "content": {
+              "application/json": {
+                "schema": {
+                  "$ref": "#/components/schemas/ErrorResponse"
+                }
+              }
+            }
+          }
+        }
+      }
+    },
+    "/flow/api/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/Flows/{flowId}/bulkTests": {
+      "get": {
+        "tags": [
+          "Flows"
+        ],
+        "operationId": "Flows_ListBulkTests",
+        "parameters": [
+          {
+            "$ref": "#/components/parameters/subscriptionIdParameter"
+          },
+          {
+            "$ref": "#/components/parameters/resourceGroupNameParameter"
+          },
+          {
+            "$ref": "#/components/parameters/workspaceNameParameter"
+          },
+          {
+            "name": "flowId",
+            "in": "path",
+            "required": true,
+            "schema": {
+              "type": "string"
+            }
+          },
+          {
+            "name": "experimentId",
+            "in": "query",
+            "schema": {
+              "type": "string"
+            }
+          }
+        ],
+        "responses": {
+          "200": {
+            "description": "Success",
+            "content": {
+              "application/json": {
+                "schema": {
+                  "type": "array",
+                  "items": {
+                    "$ref": "#/components/schemas/BulkTestDto"
+                  }
+                }
+              }
+            }
+          },
+          "default": {
+            "description": "Error response describing why the operation failed.",
+            "content": {
+              "application/json": {
+                "schema": {
+                  "$ref": "#/components/schemas/ErrorResponse"
+                }
+              }
+            }
+          }
+        }
+      }
+    },
+    "/flow/api/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/Flows/{flowId}/bulkTests/{bulkTestId}": {
+      "get": {
+        "tags": [
+          "Flows"
+        ],
+        "operationId": "Flows_GetBulkTest",
+        "parameters": [
+          {
+            "$ref": "#/components/parameters/subscriptionIdParameter"
+          },
+          {
+            "$ref": "#/components/parameters/resourceGroupNameParameter"
+          },
+          {
+            "$ref": "#/components/parameters/workspaceNameParameter"
+          },
+          {
+            "name": "flowId",
+            "in": "path",
+            "required": true,
+            "schema": {
+              "type": "string"
+            }
+          },
+          {
+            "name": "bulkTestId",
+            "in": "path",
+            "required": true,
+            "schema": {
+              "type": "string"
+            }
+          }
+        ],
+        "responses": {
+          "200": {
+            "description": "Success",
+            "content": {
+              "application/json": {
+                "schema": {
+                  "$ref": "#/components/schemas/BulkTestDto"
+                }
+              }
+            }
+          },
+          "default": {
+            "description": "Error response describing why the operation failed.",
+            "content": {
+              "application/json": {
+                "schema": {
+                  "$ref": "#/components/schemas/ErrorResponse"
+                }
+              }
+            }
+          }
+        }
+      }
+    },
+    "/flow/api/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/Flows/DeployReservedEnvironmentVariableNames": {
+      "get": {
+        "tags": [
+          "Flows"
+        ],
+        "operationId": "Flows_GetFlowDeployReservedEnvironmentVariableNames",
+        "parameters": [
+          {
+            "$ref": "#/components/parameters/subscriptionIdParameter"
+          },
+          {
+            "$ref": "#/components/parameters/resourceGroupNameParameter"
+          },
+          {
+            "$ref": "#/components/parameters/workspaceNameParameter"
+          }
+        ],
+        "responses": {
+          "200": {
+            "description": "Success",
+            "content": {
+              "application/json": {
+                "schema": {
+                  "type": "array",
+                  "items": {
+                    "type": "string"
+                  }
+                }
+              }
+            }
+          },
+          "default": {
+            "description": "Error response describing why the operation failed.",
+            "content": {
+              "application/json": {
+                "schema": {
+                  "$ref": "#/components/schemas/ErrorResponse"
+                }
+              }
+            }
+          }
+        }
+      }
+    },
+    "/flow/api/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/Flows/deploy": {
+      "post": {
+        "tags": [
+          "Flows"
+        ],
+        "operationId": "Flows_DeployFlow",
+        "parameters": [
+          {
+            "$ref": "#/components/parameters/subscriptionIdParameter"
+          },
+          {
+            "$ref": "#/components/parameters/resourceGroupNameParameter"
+          },
+          {
+            "$ref": "#/components/parameters/workspaceNameParameter"
+          },
+          {
+            "name": "asyncCall",
+            "in": "query",
+            "schema": {
+              "type": "boolean",
+              "default": false
+            }
+          },
+          {
+            "name": "msiToken",
+            "in": "query",
+            "schema": {
+              "type": "boolean",
+              "default": false
+            }
+          }
+        ],
+        "requestBody": {
+          "content": {
+            "application/json": {
+              "schema": {
+                "$ref": "#/components/schemas/DeployFlowRequest"
+              }
+            }
+          }
+        },
+        "responses": {
+          "200": {
+            "description": "Success",
+            "content": {
+              "application/json": {
+                "schema": {
+                  "type": "string"
+                }
+              }
+            }
+          },
+          "default": {
+            "description": "Error response describing why the operation failed.",
+            "content": {
+              "application/json": {
+                "schema": {
+                  "$ref": "#/components/schemas/ErrorResponse"
+                }
+              }
+            }
+          }
+        }
+      }
+    },
+    "/flow/api/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/Flows/{flowId}/runs/{flowRunId}/logContent": {
+      "get": {
+        "tags": [
+          "Flows"
+        ],
+        "operationId": "Flows_GetFlowRunLogContent",
+        "parameters": [
+          {
+            "$ref": "#/components/parameters/subscriptionIdParameter"
+          },
+          {
+            "$ref": "#/components/parameters/resourceGroupNameParameter"
+          },
+          {
+            "$ref": "#/components/parameters/workspaceNameParameter"
+          },
+          {
+            "name": "flowId",
+            "in": "path",
+            "required": true,
+            "schema": {
+              "type": "string"
+            }
+          },
+          {
+            "name": "flowRunId",
+            "in": "path",
+            "required": true,
+            "schema": {
+              "type": "string"
+            }
+          }
+        ],
+        "responses": {
+          "200": {
+            "description": "Success",
+            "content": {
+              "application/json": {
+                "schema": {
+                  "type": "string"
+                }
+              }
+            }
+          },
+          "default": {
+            "description": "Error response describing why the operation failed.",
+            "content": {
+              "application/json": {
+                "schema": {
+                  "$ref": "#/components/schemas/ErrorResponse"
+                }
+              }
+            }
+          }
+        }
+      }
+    },
+    "/flow/api/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/Flows/runs/{flowRunId}/cancel": {
+      "post": {
+        "tags": [
+          "Flows"
+        ],
+        "operationId": "Flows_CancelFlowRun",
+        "parameters": [
+          {
+            "$ref": "#/components/parameters/subscriptionIdParameter"
+          },
+          {
+            "$ref": "#/components/parameters/resourceGroupNameParameter"
+          },
+          {
+            "$ref": "#/components/parameters/workspaceNameParameter"
+          },
+          {
+            "name": "flowRunId",
+            "in": "path",
+            "required": true,
+            "schema": {
+              "type": "string"
+            }
+          }
+        ],
+        "responses": {
+          "200": {
+            "description": "Success",
+            "content": {
+              "text/plain": {
+                "schema": {
+                  "type": "string"
+                }
+              }
+            }
+          },
+          "default": {
+            "description": "Error response describing why the operation failed.",
+            "content": {
+              "application/json": {
+                "schema": {
+                  "$ref": "#/components/schemas/ErrorResponse"
+                }
+              }
+            }
+          }
+        }
+      }
+    },
+    "/flow/api/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/Flows/{flowId}/flowTests/{flowRunId}/cancel": {
+      "post": {
+        "tags": [
+          "Flows"
+        ],
+        "operationId": "Flows_CancelFlowTest",
+        "parameters": [
+          {
+            "$ref": "#/components/parameters/subscriptionIdParameter"
+          },
+          {
+            "$ref": "#/components/parameters/resourceGroupNameParameter"
+          },
+          {
+            "$ref": "#/components/parameters/workspaceNameParameter"
+          },
+          {
+            "name": "flowId",
+            "in": "path",
+            "required": true,
+            "schema": {
+              "type": "string"
+            }
+          },
+          {
+            "name": "flowRunId",
+            "in": "path",
+            "required": true,
+            "schema": {
+              "type": "string"
+            }
+          }
+        ],
+        "responses": {
+          "200": {
+            "description": "Success",
+            "content": {
+              "text/plain": {
+                "schema": {
+                  "type": "string"
+                }
+              }
+            }
+          },
+          "default": {
+            "description": "Error response describing why the operation failed.",
+            "content": {
+              "application/json": {
+                "schema": {
+                  "$ref": "#/components/schemas/ErrorResponse"
+                }
+              }
+            }
+          }
+        }
+      }
+    },
+    "/flow/api/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/Flows/bulkTests/{bulkTestRunId}/cancel": {
+      "post": {
+        "tags": [
+          "Flows"
+        ],
+        "operationId": "Flows_CancelBulkTestRun",
+        "parameters": [
+          {
+            "$ref": "#/components/parameters/subscriptionIdParameter"
+          },
+          {
+            "$ref": "#/components/parameters/resourceGroupNameParameter"
+          },
+          {
+            "$ref": "#/components/parameters/workspaceNameParameter"
+          },
+          {
+            "name": "bulkTestRunId",
+            "in": "path",
+            "required": true,
+            "schema": {
+              "type": "string"
+            }
+          }
+        ],
+        "responses": {
+          "200": {
+            "description": "Success",
+            "content": {
+              "text/plain": {
+                "schema": {
+                  "type": "string"
+                }
+              }
+            }
+          },
+          "default": {
+            "description": "Error response describing why the operation failed.",
+            "content": {
+              "application/json": {
+                "schema": {
+                  "$ref": "#/components/schemas/ErrorResponse"
+                }
+              }
+            }
+          }
+        }
+      }
+    },
+    "/flow/api/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/Flows/FlowSnapshot": {
+      "post": {
+        "tags": [
+          "Flows"
+        ],
+        "operationId": "Flows_GetFlowSnapshot",
+        "parameters": [
+          {
+            "$ref": "#/components/parameters/subscriptionIdParameter"
+          },
+          {
+            "$ref": "#/components/parameters/resourceGroupNameParameter"
+          },
+          {
+            "$ref": "#/components/parameters/workspaceNameParameter"
+          }
+        ],
+        "requestBody": {
+          "content": {
+            "application/json": {
+              "schema": {
+                "$ref": "#/components/schemas/CreateFlowRequest"
+              }
+            }
+          }
+        },
+        "responses": {
+          "200": {
+            "description": "Success",
+            "content": {
+              "application/json": {
+                "schema": {
+                  "$ref": "#/components/schemas/FlowSnapshot"
+                }
+              }
+            }
+          },
+          "default": {
+            "description": "Error response describing why the operation failed.",
+            "content": {
+              "application/json": {
+                "schema": {
+                  "$ref": "#/components/schemas/ErrorResponse"
+                }
+              }
+            }
+          }
+        }
+      }
+    },
+    "/flow/api/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/Flows/connectionOverride": {
+      "post": {
+        "tags": [
+          "Flows"
+        ],
+        "operationId": "Flows_GetConnectionOverrideSettings",
+        "parameters": [
+          {
+            "$ref": "#/components/parameters/subscriptionIdParameter"
+          },
+          {
+            "$ref": "#/components/parameters/resourceGroupNameParameter"
+          },
+          {
+            "$ref": "#/components/parameters/workspaceNameParameter"
+          },
+          {
+            "name": "runtimeName",
+            "in": "query",
+            "schema": {
+              "type": "string"
+            }
+          }
+        ],
+        "requestBody": {
+          "content": {
+            "application/json": {
+              "schema": {
+                "$ref": "#/components/schemas/FlowGraphReference"
+              }
+            }
+          }
+        },
+        "responses": {
+          "200": {
+            "description": "Success",
+            "content": {
+              "application/json": {
+                "schema": {
+                  "type": "array",
+                  "items": {
+                    "$ref": "#/components/schemas/ConnectionOverrideSetting"
+                  }
+                }
+              }
+            }
+          },
+          "default": {
+            "description": "Error response describing why the operation failed.",
+            "content": {
+              "application/json": {
+                "schema": {
+                  "$ref": "#/components/schemas/ErrorResponse"
+                }
+              }
+            }
+          }
+        }
+      }
+    },
+    "/flow/api/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/Flows/flowInputs": {
+      "post": {
+        "tags": [
+          "Flows"
+        ],
+        "operationId": "Flows_GetFlowInputs",
+        "parameters": [
+          {
+            "$ref": "#/components/parameters/subscriptionIdParameter"
+          },
+          {
+            "$ref": "#/components/parameters/resourceGroupNameParameter"
+          },
+          {
+            "$ref": "#/components/parameters/workspaceNameParameter"
+          }
+        ],
+        "requestBody": {
+          "content": {
+            "application/json": {
+              "schema": {
+                "$ref": "#/components/schemas/FlowGraphReference"
+              }
+            }
+          }
+        },
+        "responses": {
+          "200": {
+            "description": "Success",
+            "content": {
+              "application/json": {
+                "schema": {
+                  "type": "object",
+                  "additionalProperties": {
+                    "$ref": "#/components/schemas/FlowInputDefinition"
+                  },
+                  "description": "This is a dictionary"
+                }
+              }
+            }
+          },
+          "default": {
+            "description": "Error response describing why the operation failed.",
+            "content": {
+              "application/json": {
+                "schema": {
+                  "$ref": "#/components/schemas/ErrorResponse"
+                }
+              }
+            }
+          }
+        }
+      }
+    },
+    "/flow/api/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/Flows/LoadAsComponent": {
+      "post": {
+        "tags": [
+          "Flows"
+        ],
+        "operationId": "Flows_LoadAsComponent",
+        "parameters": [
+          {
+            "$ref": "#/components/parameters/subscriptionIdParameter"
+          },
+          {
+            "$ref": "#/components/parameters/resourceGroupNameParameter"
+          },
+          {
+            "$ref": "#/components/parameters/workspaceNameParameter"
+          }
+        ],
+        "requestBody": {
+          "content": {
+            "application/json": {
+              "schema": {
+                "$ref": "#/components/schemas/LoadFlowAsComponentRequest"
+              }
+            }
+          }
+        },
+        "responses": {
+          "200": {
+            "description": "Success",
+            "content": {
+              "application/json": {
+                "schema": {
+                  "type": "string"
+                }
+              }
+            }
+          },
+          "default": {
+            "description": "Error response describing why the operation failed.",
+            "content": {
+              "application/json": {
+                "schema": {
+                  "$ref": "#/components/schemas/ErrorResponse"
+                }
+              }
+            }
+          }
+        }
+      }
+    },
+    "/flow/api/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/Flows/{flowId}/flowTools": {
+      "get": {
+        "tags": [
+          "Flows"
+        ],
+        "operationId": "Flows_GetFlowTools",
+        "parameters": [
+          {
+            "$ref": "#/components/parameters/subscriptionIdParameter"
+          },
+          {
+            "$ref": "#/components/parameters/resourceGroupNameParameter"
+          },
+          {
+            "$ref": "#/components/parameters/workspaceNameParameter"
+          },
+          {
+            "name": "flowId",
+            "in": "path",
+            "required": true,
+            "schema": {
+              "type": "string"
+            }
+          },
+          {
+            "name": "flowRuntimeName",
+            "in": "query",
+            "schema": {
+              "type": "string"
+            }
+          },
+          {
+            "name": "experimentId",
+            "in": "query",
+            "required": true,
+            "schema": {
+              "type": "string"
+            }
+          }
+        ],
+        "responses": {
+          "200": {
+            "description": "Success",
+            "content": {
+              "application/json": {
+                "schema": {
+                  "$ref": "#/components/schemas/FlowToolsDto"
+                }
+              }
+            }
+          },
+          "default": {
+            "description": "Error response describing why the operation failed.",
+            "content": {
+              "application/json": {
+                "schema": {
+                  "$ref": "#/components/schemas/ErrorResponse"
+                }
+              }
+            }
+          }
+        }
+      }
+    },
+    "/flow/api/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/Flows/{flowId}/sessions": {
+      "post": {
+        "tags": [
+          "Flows"
+        ],
+        "operationId": "Flows_SetupFlowSession",
+        "parameters": [
+          {
+            "$ref": "#/components/parameters/subscriptionIdParameter"
+          },
+          {
+            "$ref": "#/components/parameters/resourceGroupNameParameter"
+          },
+          {
+            "$ref": "#/components/parameters/workspaceNameParameter"
+          },
+          {
+            "name": "flowId",
+            "in": "path",
+            "required": true,
+            "schema": {
+              "type": "string"
+            }
+          },
+          {
+            "name": "experimentId",
+            "in": "query",
+            "required": true,
+            "schema": {
+              "type": "string"
+            }
+          }
+        ],
+        "requestBody": {
+          "content": {
+            "application/json": {
+              "schema": {
+                "$ref": "#/components/schemas/SetupFlowSessionRequest"
+              }
+            }
+          }
+        },
+        "responses": {
+          "200": {
+            "description": "Success",
+            "content": {
+              "application/json": {
+                "schema": {
+                  "$ref": "#/components/schemas/IActionResult"
+                }
+              }
+            }
+          },
+          "202": {
+            "description": "Accepted",
+            "content": {
+              "application/json": {
+                "schema": {
+                  "$ref": "#/components/schemas/IActionResult"
+                }
+              }
+            }
+          },
+          "default": {
+            "description": "Error response describing why the operation failed.",
+            "content": {
+              "application/json": {
+                "schema": {
+                  "$ref": "#/components/schemas/ErrorResponse"
+                }
+              }
+            }
+          }
+        }
+      },
+      "delete": {
+        "tags": [
+          "Flows"
+        ],
+        "operationId": "Flows_DeleteFlowSession",
+        "parameters": [
+          {
+            "$ref": "#/components/parameters/subscriptionIdParameter"
+          },
+          {
+            "$ref": "#/components/parameters/resourceGroupNameParameter"
+          },
+          {
+            "$ref": "#/components/parameters/workspaceNameParameter"
+          },
+          {
+            "name": "flowId",
+            "in": "path",
+            "required": true,
+            "schema": {
+              "type": "string"
+            }
+          },
+          {
+            "name": "experimentId",
+            "in": "query",
+            "required": true,
+            "schema": {
+              "type": "string"
+            }
+          }
+        ],
+        "responses": {
+          "200": {
+            "description": "Success",
+            "content": {
+              "application/json": {
+                "schema": {
+                  "$ref": "#/components/schemas/IActionResult"
+                }
+              }
+            }
+          },
+          "202": {
+            "description": "Accepted",
+            "content": {
+              "application/json": {
+                "schema": {
+                  "$ref": "#/components/schemas/IActionResult"
+                }
+              }
+            }
+          },
+          "default": {
+            "description": "Error response describing why the operation failed.",
+            "content": {
+              "application/json": {
+                "schema": {
+                  "$ref": "#/components/schemas/ErrorResponse"
+                }
+              }
+            }
+          }
+        }
+      }
+    },
+    "/flow/api/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/Flows/{flowId}/sessions/status": {
+      "get": {
+        "tags": [
+          "Flows"
+        ],
+        "operationId": "Flows_GetFlowSessionStatus",
+        "parameters": [
+          {
+            "$ref": "#/components/parameters/subscriptionIdParameter"
+          },
+          {
+            "$ref": "#/components/parameters/resourceGroupNameParameter"
+          },
+          {
+            "$ref": "#/components/parameters/workspaceNameParameter"
+          },
+          {
+            "name": "flowId",
+            "in": "path",
+            "required": true,
+            "schema": {
+              "type": "string"
+            }
+          },
+          {
+            "name": "experimentId",
+            "in": "query",
+            "required": true,
+            "schema": {
+              "type": "string"
+            }
+          }
+        ],
+        "responses": {
+          "200": {
+            "description": "Success",
+            "content": {
+              "application/json": {
+                "schema": {
+                  "$ref": "#/components/schemas/FlowSessionDto"
+                }
+              }
+            }
+          },
+          "default": {
+            "description": "Error response describing why the operation failed.",
+            "content": {
+              "application/json": {
+                "schema": {
+                  "$ref": "#/components/schemas/ErrorResponse"
+                }
+              }
+            }
+          }
+        }
+      }
+    },
+    "/flow/api/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/Flows/{flowId}/sessions/pipPackages": {
+      "get": {
+        "tags": [
+          "Flows"
+        ],
+        "operationId": "Flows_ListFlowSessionPipPackages",
+        "parameters": [
+          {
+            "$ref": "#/components/parameters/subscriptionIdParameter"
+          },
+          {
+            "$ref": "#/components/parameters/resourceGroupNameParameter"
+          },
+          {
+            "$ref": "#/components/parameters/workspaceNameParameter"
+          },
+          {
+            "name": "flowId",
+            "in": "path",
+            "required": true,
+            "schema": {
+              "type": "string"
+            }
+          },
+          {
+            "name": "experimentId",
+            "in": "query",
+            "required": true,
+            "schema": {
+              "type": "string"
+            }
+          }
+        ],
+        "responses": {
+          "200": {
+            "description": "Success",
+            "content": {
+              "application/json": {
+                "schema": {
+                  "type": "string"
+                }
+              }
+            }
+          },
+          "default": {
+            "description": "Error response describing why the operation failed.",
+            "content": {
+              "application/json": {
+                "schema": {
+                  "$ref": "#/components/schemas/ErrorResponse"
+                }
+              }
+            }
+          }
+        }
+      }
+    },
+    "/flow/api/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/FlowSessions/{sessionId}": {
+      "post": {
+        "tags": [
+          "FlowSessions"
+        ],
+        "operationId": "FlowSessions_CreateFlowSession",
+        "parameters": [
+          {
+            "$ref": "#/components/parameters/subscriptionIdParameter"
+          },
+          {
+            "$ref": "#/components/parameters/resourceGroupNameParameter"
+          },
+          {
+            "$ref": "#/components/parameters/workspaceNameParameter"
+          },
+          {
+            "name": "sessionId",
+            "in": "path",
+            "required": true,
+            "schema": {
+              "type": "string"
+            }
+          }
+        ],
+        "requestBody": {
+          "content": {
+            "application/json": {
+              "schema": {
+                "$ref": "#/components/schemas/CreateFlowSessionRequest"
+              }
+            }
+          }
+        },
+        "responses": {
+          "200": {
+            "description": "Success",
+            "content": {
+              "application/json": {
+                "schema": {
+                  "$ref": "#/components/schemas/IActionResult"
+                }
+              }
+            }
+          },
+          "202": {
+            "description": "Accepted",
+            "content": {
+              "application/json": {
+                "schema": {
+                  "$ref": "#/components/schemas/IActionResult"
+                }
+              }
+            }
+          },
+          "default": {
+            "description": "Error response describing why the operation failed.",
+            "content": {
+              "application/json": {
+                "schema": {
+                  "$ref": "#/components/schemas/ErrorResponse"
+                }
+              }
+            }
+          }
+        }
+      },
+      "get": {
+        "tags": [
+          "FlowSessions"
+        ],
+        "operationId": "FlowSessions_GetFlowSession",
+        "parameters": [
+          {
+            "$ref": "#/components/parameters/subscriptionIdParameter"
+          },
+          {
+            "$ref": "#/components/parameters/resourceGroupNameParameter"
+          },
+          {
+            "$ref": "#/components/parameters/workspaceNameParameter"
+          },
+          {
+            "name": "sessionId",
+            "in": "path",
+            "required": true,
+            "schema": {
+              "type": "string"
+            }
+          }
+        ],
+        "responses": {
+          "200": {
+            "description": "Success",
+            "content": {
+              "application/json": {
+                "schema": {
+                  "$ref": "#/components/schemas/GetTrainingSessionDto"
+                }
+              }
+            }
+          },
+          "default": {
+            "description": "Error response describing why the operation failed.",
+            "content": {
+              "application/json": {
+                "schema": {
+                  "$ref": "#/components/schemas/ErrorResponse"
+                }
+              }
+            }
+          }
+        }
+      },
+      "delete": {
+        "tags": [
+          "FlowSessions"
+        ],
+        "operationId": "FlowSessions_DeleteFlowSession",
+        "parameters": [
+          {
+            "$ref": "#/components/parameters/subscriptionIdParameter"
+          },
+          {
+            "$ref": "#/components/parameters/resourceGroupNameParameter"
+          },
+          {
+            "$ref": "#/components/parameters/workspaceNameParameter"
+          },
+          {
+            "name": "sessionId",
+            "in": "path",
+            "required": true,
+            "schema": {
+              "type": "string"
+            }
+          }
+        ],
+        "responses": {
+          "200": {
+            "description": "Success",
+            "content": {
+              "application/json": {
+                "schema": {
+                  "$ref": "#/components/schemas/IActionResult"
+                }
+              }
+            }
+          },
+          "202": {
+            "description": "Accepted",
+            "content": {
+              "application/json": {
+                "schema": {
+                  "$ref": "#/components/schemas/IActionResult"
+                }
+              }
+            }
+          },
+          "default": {
+            "description": "Error response describing why the operation failed.",
+            "content": {
+              "application/json": {
+                "schema": {
+                  "$ref": "#/components/schemas/ErrorResponse"
+                }
+              }
+            }
+          }
+        }
+      }
+    },
+    "/flow/api/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/FlowSessions/{sessionId}/pipPackages": {
+      "get": {
+        "tags": [
+          "FlowSessions"
+        ],
+        "operationId": "FlowSessions_ListFlowSessionPipPackages",
+        "parameters": [
+          {
+            "$ref": "#/components/parameters/subscriptionIdParameter"
+          },
+          {
+            "$ref": "#/components/parameters/resourceGroupNameParameter"
+          },
+          {
+            "$ref": "#/components/parameters/workspaceNameParameter"
+          },
+          {
+            "name": "sessionId",
+            "in": "path",
+            "required": true,
+            "schema": {
+              "type": "string"
+            }
+          }
+        ],
+        "responses": {
+          "200": {
+            "description": "Success",
+            "content": {
+              "application/json": {
+                "schema": {
+                  "type": "string"
+                }
+              }
+            }
+          },
+          "default": {
+            "description": "Error response describing why the operation failed.",
+            "content": {
+              "application/json": {
+                "schema": {
+                  "$ref": "#/components/schemas/ErrorResponse"
+                }
+              }
+            }
+          }
+        }
+      }
+    },
+    "/flow/api/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/FlowSessions/{sessionId}/{actionType}/locations/{location}/operations/{operationId}": {
+      "get": {
+        "tags": [
+          "FlowSessions"
+        ],
+        "operationId": "FlowSessions_PollOperationStatus",
+        "parameters": [
+          {
+            "$ref": "#/components/parameters/subscriptionIdParameter"
+          },
+          {
+            "$ref": "#/components/parameters/resourceGroupNameParameter"
+          },
+          {
+            "$ref": "#/components/parameters/workspaceNameParameter"
+          },
+          {
+            "name": "sessionId",
+            "in": "path",
+            "required": true,
+            "schema": {
+              "type": "string"
+            }
+          },
+          {
+            "name": "actionType",
+            "in": "path",
+            "required": true,
+            "schema": {
+              "$ref": "#/components/schemas/SetupFlowSessionAction"
+            }
+          },
+          {
+            "name": "location",
+            "in": "path",
+            "required": true,
+            "schema": {
+              "type": "string"
+            }
+          },
+          {
+            "name": "operationId",
+            "in": "path",
+            "required": true,
+            "schema": {
+              "type": "string"
+            }
+          },
+          {
+            "name": "api-version",
+            "in": "query",
+            "schema": {
+              "type": "string"
+            }
+          },
+          {
+            "name": "type",
+            "in": "query",
+            "schema": {
+              "type": "string"
+            }
+          }
+        ],
+        "responses": {
+          "200": {
+            "description": "Success",
+            "content": {
+              "application/json": {
+                "schema": {
+                  "$ref": "#/components/schemas/IActionResult"
+                }
+              }
+            }
+          },
+          "default": {
+            "description": "Error response describing why the operation failed.",
+            "content": {
+              "application/json": {
+                "schema": {
+                  "$ref": "#/components/schemas/ErrorResponse"
+                }
+              }
+            }
+          }
+        }
+      }
+    },
+    "/flow/api/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/FlowSessions/standbypools": {
+      "get": {
+        "tags": [
+          "FlowSessions"
+        ],
+        "operationId": "FlowSessions_GetStandbyPools",
+        "parameters": [
+          {
+            "$ref": "#/components/parameters/subscriptionIdParameter"
+          },
+          {
+            "$ref": "#/components/parameters/resourceGroupNameParameter"
+          },
+          {
+            "$ref": "#/components/parameters/workspaceNameParameter"
+          }
+        ],
+        "responses": {
+          "200": {
+            "description": "Success",
+            "content": {
+              "application/json": {
+                "schema": {
+                  "type": "array",
+                  "items": {
+                    "$ref": "#/components/schemas/StandbyPoolProperties"
+                  }
+                }
+              }
+            }
+          },
+          "default": {
+            "description": "Error response describing why the operation failed.",
+            "content": {
+              "application/json": {
+                "schema": {
+                  "$ref": "#/components/schemas/ErrorResponse"
+                }
+              }
+            }
+          }
+        }
+      }
+    },
+    "/flow/v1.0/flows/getIndexEntities": {
+      "post": {
+        "tags": [
+          "FlowsProvider"
+        ],
+        "operationId": "FlowsProvider_GetIndexEntityById",
+        "parameters": [
+          {
+            "$ref": "#/components/parameters/subscriptionIdParameter"
+          },
+          {
+            "$ref": "#/components/parameters/resourceGroupNameParameter"
+          },
+          {
+            "$ref": "#/components/parameters/workspaceNameParameter"
+          }
+        ],
+        "requestBody": {
+          "content": {
+            "application/json": {
+              "schema": {
+                "$ref": "#/components/schemas/UnversionedEntityRequestDto"
+              }
+            }
+          }
+        },
+        "responses": {
+          "200": {
+            "description": "Success",
+            "content": {
+              "application/json": {
+                "schema": {
+                  "$ref": "#/components/schemas/UnversionedEntityResponseDto"
+                }
+              }
+            }
+          },
+          "default": {
+            "description": "Error response describing why the operation failed.",
+            "content": {
+              "application/json": {
+                "schema": {
+                  "$ref": "#/components/schemas/ErrorResponse"
+                }
+              }
+            }
+          }
+        }
+      }
+    },
+    "/flow/v1.0/flows/rebuildIndex": {
+      "post": {
+        "tags": [
+          "FlowsProvider"
+        ],
+        "operationId": "FlowsProvider_GetUpdatedEntityIdsForWorkspace",
+        "parameters": [
+          {
+            "$ref": "#/components/parameters/subscriptionIdParameter"
+          },
+          {
+            "$ref": "#/components/parameters/resourceGroupNameParameter"
+          },
+          {
+            "$ref": "#/components/parameters/workspaceNameParameter"
+          }
+        ],
+        "requestBody": {
+          "content": {
+            "application/json": {
+              "schema": {
+                "$ref": "#/components/schemas/UnversionedRebuildIndexDto"
+              }
+            }
+          }
+        },
+        "responses": {
+          "200": {
+            "description": "Success",
+            "content": {
+              "application/json": {
+                "schema": {
+                  "$ref": "#/components/schemas/UnversionedRebuildResponseDto"
+                }
+              }
+            }
+          },
+          "default": {
+            "description": "Error response describing why the operation failed.",
+            "content": {
+              "application/json": {
+                "schema": {
+                  "$ref": "#/components/schemas/ErrorResponse"
+                }
+              }
+            }
+          }
+        }
+      }
+    },
+    "/flow/api/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/Tools/setting": {
+      "get": {
+        "tags": [
+          "Tools"
+        ],
+        "operationId": "Tools_GetToolSetting",
+        "parameters": [
+          {
+            "$ref": "#/components/parameters/subscriptionIdParameter"
+          },
+          {
+            "$ref": "#/components/parameters/resourceGroupNameParameter"
+          },
+          {
+            "$ref": "#/components/parameters/workspaceNameParameter"
+          }
+        ],
+        "responses": {
+          "200": {
+            "description": "Success",
+            "content": {
+              "application/json": {
+                "schema": {
+                  "$ref": "#/components/schemas/ToolSetting"
+                }
+              }
+            }
+          },
+          "default": {
+            "description": "Error response describing why the operation failed.",
+            "content": {
+              "application/json": {
+                "schema": {
+                  "$ref": "#/components/schemas/ErrorResponse"
+                }
+              }
+            }
+          }
+        }
+      }
+    },
+    "/flow/api/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/Tools/meta-v2": {
+      "post": {
+        "tags": [
+          "Tools"
+        ],
+        "operationId": "Tools_GetToolMetaV2",
+        "parameters": [
+          {
+            "$ref": "#/components/parameters/subscriptionIdParameter"
+          },
+          {
+            "$ref": "#/components/parameters/resourceGroupNameParameter"
+          },
+          {
+            "$ref": "#/components/parameters/workspaceNameParameter"
+          },
+          {
+            "name": "flowRuntimeName",
+            "in": "query",
+            "schema": {
+              "type": "string"
+            }
+          },
+          {
+            "name": "flowId",
+            "in": "query",
+            "schema": {
+              "type": "string"
+            }
+          }
+        ],
+        "requestBody": {
+          "content": {
+            "application/json": {
+              "schema": {
+                "$ref": "#/components/schemas/GenerateToolMetaRequest"
+              }
+            }
+          }
+        },
+        "responses": {
+          "200": {
+            "description": "Success",
+            "content": {
+              "application/json": {
+                "schema": {
+                  "$ref": "#/components/schemas/ToolMetaDto"
+                }
+              }
+            }
+          },
+          "default": {
+            "description": "Error response describing why the operation failed.",
+            "content": {
+              "application/json": {
+                "schema": {
+                  "$ref": "#/components/schemas/ErrorResponse"
+                }
+              }
+            }
+          }
+        }
+      }
+    },
+    "/flow/api/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/Tools/packageTools": {
+      "get": {
+        "tags": [
+          "Tools"
+        ],
+        "operationId": "Tools_GetPackageTools",
+        "parameters": [
+          {
+            "$ref": "#/components/parameters/subscriptionIdParameter"
+          },
+          {
+            "$ref": "#/components/parameters/resourceGroupNameParameter"
+          },
+          {
+            "$ref": "#/components/parameters/workspaceNameParameter"
+          },
+          {
+            "name": "flowRuntimeName",
+            "in": "query",
+            "schema": {
+              "type": "string"
+            }
+          },
+          {
+            "name": "flowId",
+            "in": "query",
+            "schema": {
+              "type": "string"
+            }
+          }
+        ],
+        "responses": {
+          "200": {
+            "description": "Success",
+            "content": {
+              "application/json": {
+                "schema": {
+                  "type": "object",
+                  "additionalProperties": {
+                    "$ref": "#/components/schemas/Tool"
+                  }
+                }
+              }
+            }
+          },
+          "default": {
+            "description": "Error response describing why the operation failed.",
+            "content": {
+              "application/json": {
+                "schema": {
+                  "$ref": "#/components/schemas/ErrorResponse"
+                }
+              }
+            }
+          }
+        }
+      }
+    },
+    "/flow/api/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/Tools/dynamicList": {
+      "post": {
+        "tags": [
+          "Tools"
+        ],
+        "operationId": "Tools_GetDynamicList",
+        "parameters": [
+          {
+            "$ref": "#/components/parameters/subscriptionIdParameter"
+          },
+          {
+            "$ref": "#/components/parameters/resourceGroupNameParameter"
+          },
+          {
+            "$ref": "#/components/parameters/workspaceNameParameter"
+          },
+          {
+            "name": "flowRuntimeName",
+            "in": "query",
+            "schema": {
+              "type": "string"
+            }
+          },
+          {
+            "name": "flowId",
+            "in": "query",
+            "schema": {
+              "type": "string"
+            }
+          }
+        ],
+        "requestBody": {
+          "content": {
+            "application/json": {
+              "schema": {
+                "$ref": "#/components/schemas/GetDynamicListRequest"
+              }
+            }
+          }
+        },
+        "responses": {
+          "200": {
+            "description": "Success",
+            "content": {
+              "application/json": {
+                "schema": {
+                  "type": "array",
+                  "items": { }
+                }
+              }
+            }
+          },
+          "default": {
+            "description": "Error response describing why the operation failed.",
+            "content": {
+              "application/json": {
+                "schema": {
+                  "$ref": "#/components/schemas/ErrorResponse"
+                }
+              }
+            }
+          }
+        }
+      }
+    },
+    "/flow/api/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/Tools/RetrieveToolFuncResult": {
+      "post": {
+        "tags": [
+          "Tools"
+        ],
+        "operationId": "Tools_RetrieveToolFuncResult",
+        "parameters": [
+          {
+            "$ref": "#/components/parameters/subscriptionIdParameter"
+          },
+          {
+            "$ref": "#/components/parameters/resourceGroupNameParameter"
+          },
+          {
+            "$ref": "#/components/parameters/workspaceNameParameter"
+          },
+          {
+            "name": "flowRuntimeName",
+            "in": "query",
+            "schema": {
+              "type": "string"
+            }
+          },
+          {
+            "name": "flowId",
+            "in": "query",
+            "schema": {
+              "type": "string"
+            }
+          }
+        ],
+        "requestBody": {
+          "content": {
+            "application/json": {
+              "schema": {
+                "$ref": "#/components/schemas/RetrieveToolFuncResultRequest"
+              }
+            }
+          }
+        },
+        "responses": {
+          "200": {
+            "description": "Success",
+            "content": {
+              "application/json": {
+                "schema": {
+                  "$ref": "#/components/schemas/ToolFuncResponse"
+                }
+              }
+            }
+          },
+          "default": {
+            "description": "Error response describing why the operation failed.",
+            "content": {
+              "application/json": {
+                "schema": {
+                  "$ref": "#/components/schemas/ErrorResponse"
+                }
+              }
+            }
+          }
+        }
+      }
+    },
+    "/flow/api/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/TraceSessions/initialize": {
+      "post": {
+        "tags": [
+          "TraceSessions"
+        ],
+        "operationId": "TraceSessions_InitTraceSessionAsync",
+        "parameters": [
+          {
+            "$ref": "#/components/parameters/subscriptionIdParameter"
+          },
+          {
+            "$ref": "#/components/parameters/resourceGroupNameParameter"
+          },
+          {
+            "$ref": "#/components/parameters/workspaceNameParameter"
+          },
+          {
+            "name": "overwrite",
+            "in": "query",
+            "schema": {
+              "type": "boolean",
+              "default": false
+            }
+          }
+        ],
+        "responses": {
+          "200": {
+            "description": "Success",
+            "content": {
+              "application/json": {
+                "schema": {
+                  "$ref": "#/components/schemas/TraceCosmosResourceDtos"
+                }
+              }
+            }
+          },
+          "202": {
+            "description": "Accepted",
+            "content": {
+              "application/json": {
+                "schema": {
+                  "$ref": "#/components/schemas/IActionResult"
+                }
+              }
+            }
+          },
+          "default": {
+            "description": "Error response describing why the operation failed.",
+            "content": {
+              "application/json": {
+                "schema": {
+                  "$ref": "#/components/schemas/ErrorResponse"
+                }
+              }
+            }
+          }
+        }
+      }
+    },
+    "/flow/api/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/TraceSessions/cleanup": {
+      "post": {
+        "tags": [
+          "TraceSessions"
+        ],
+        "operationId": "TraceSessions_CleanupTraceSessionAsync",
+        "parameters": [
+          {
+            "$ref": "#/components/parameters/subscriptionIdParameter"
+          },
+          {
+            "$ref": "#/components/parameters/resourceGroupNameParameter"
+          },
+          {
+            "$ref": "#/components/parameters/workspaceNameParameter"
+          }
+        ],
+        "responses": {
+          "202": {
+            "description": "Accepted",
+            "content": {
+              "application/json": {
+                "schema": {
+                  "$ref": "#/components/schemas/IActionResult"
+                }
+              }
+            }
+          },
+          "200": {
+            "description": "Success",
+            "content": {
+              "application/json": {
+                "schema": {
+                  "$ref": "#/components/schemas/IActionResult"
+                }
+              }
+            }
+          },
+          "default": {
+            "description": "Error response describing why the operation failed.",
+            "content": {
+              "application/json": {
+                "schema": {
+                  "$ref": "#/components/schemas/ErrorResponse"
+                }
+              }
+            }
+          }
+        }
+      }
+    },
+    "/flow/api/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/TraceSessions/operation/{operationType}/{operationId}": {
+      "get": {
+        "tags": [
+          "TraceSessions"
+        ],
+        "operationId": "TraceSessions_PollTraceSessionStatus",
+        "parameters": [
+          {
+            "$ref": "#/components/parameters/subscriptionIdParameter"
+          },
+          {
+            "$ref": "#/components/parameters/resourceGroupNameParameter"
+          },
+          {
+            "$ref": "#/components/parameters/workspaceNameParameter"
+          },
+          {
+            "name": "operationId",
+            "in": "path",
+            "required": true,
+            "schema": {
+              "type": "string"
+            }
+          },
+          {
+            "name": "operationType",
+            "in": "path",
+            "required": true,
+            "schema": {
+              "type": "string"
+            }
+          }
+        ],
+        "responses": {
+          "200": {
+            "description": "Success",
+            "content": {
+              "application/json": {
+                "schema": {
+                  "type": "string"
+                }
+              }
+            }
+          },
+          "default": {
+            "description": "Error response describing why the operation failed.",
+            "content": {
+              "application/json": {
+                "schema": {
+                  "$ref": "#/components/schemas/ErrorResponse"
+                }
+              }
+            }
+          }
+        }
+      }
+    },
+    "/flow/api/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/TraceSessions/attachDb": {
+      "post": {
+        "tags": [
+          "TraceSessions"
+        ],
+        "operationId": "TraceSessions_AttachCosmosAccount",
+        "parameters": [
+          {
+            "$ref": "#/components/parameters/subscriptionIdParameter"
+          },
+          {
+            "$ref": "#/components/parameters/resourceGroupNameParameter"
+          },
+          {
+            "$ref": "#/components/parameters/workspaceNameParameter"
+          },
+          {
+            "name": "overwrite",
+            "in": "query",
+            "schema": {
+              "type": "boolean",
+              "default": false
+            }
+          }
+        ],
+        "requestBody": {
+          "content": {
+            "application/json": {
+              "schema": {
+                "$ref": "#/components/schemas/AttachCosmosRequest"
+              }
+            }
+          }
+        },
+        "responses": {
+          "200": {
+            "description": "Success",
+            "content": {
+              "application/json": {
+                "schema": {
+                  "$ref": "#/components/schemas/IActionResult"
+                }
+              }
+            }
+          },
+          "default": {
+            "description": "Error response describing why the operation failed.",
+            "content": {
+              "application/json": {
+                "schema": {
+                  "$ref": "#/components/schemas/ErrorResponse"
+                }
+              }
+            }
+          }
+        }
+      }
+    },
+    "/flow/api/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/TraceSessions/container/{containerName}/resourceToken": {
+      "get": {
+        "tags": [
+          "TraceSessions"
+        ],
+        "operationId": "TraceSessions_GetCosmosResourceToken",
+        "parameters": [
+          {
+            "$ref": "#/components/parameters/subscriptionIdParameter"
+          },
+          {
+            "$ref": "#/components/parameters/resourceGroupNameParameter"
+          },
+          {
+            "$ref": "#/components/parameters/workspaceNameParameter"
+          },
+          {
+            "name": "containerName",
+            "in": "path",
+            "required": true,
+            "schema": {
+              "type": "string"
+            }
+          },
+          {
+            "name": "acquireWrite",
+            "in": "query",
+            "schema": {
+              "type": "boolean",
+              "default": false
+            }
+          }
+        ],
+        "responses": {
+          "200": {
+            "description": "Success",
+            "content": {
+              "application/json": {
+                "schema": {
+                  "type": "string"
+                }
+              }
+            }
+          },
+          "default": {
+            "description": "Error response describing why the operation failed.",
+            "content": {
+              "application/json": {
+                "schema": {
+                  "$ref": "#/components/schemas/ErrorResponse"
+                }
+              }
+            }
+          }
+        }
+      }
+    }
+  },
+  "components": {
+    "schemas": {
+      "ACIAdvanceSettings": {
+        "type": "object",
+        "properties": {
+          "containerResourceRequirements": {
+            "$ref": "#/components/schemas/ContainerResourceRequirements"
+          },
+          "appInsightsEnabled": {
+            "type": "boolean",
+            "nullable": true
+          },
+          "sslEnabled": {
+            "type": "boolean",
+            "nullable": true
+          },
+          "sslCertificate": {
+            "type": "string",
+            "nullable": true
+          },
+          "sslKey": {
+            "type": "string",
+            "nullable": true
+          },
+          "cName": {
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+            "nullable": true
+          },
+          "dnsNameLabel": {
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+            "nullable": true
+          }
+        },
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+      },
+      "AEVAAssetType": {
+        "enum": [
+          "UriFile",
+          "UriFolder",
+          "MLTable",
+          "CustomModel",
+          "MLFlowModel",
+          "TritonModel",
+          "OpenAIModel"
+        ],
+        "type": "string"
+      },
+      "AEVAComputeConfiguration": {
+        "type": "object",
+        "properties": {
+          "target": {
+            "type": "string",
+            "nullable": true
+          },
+          "instanceCount": {
+            "type": "integer",
+            "format": "int32",
+            "nullable": true
+          },
+          "isLocal": {
+            "type": "boolean"
+          },
+          "location": {
+            "type": "string",
+            "nullable": true
+          },
+          "isClusterless": {
+            "type": "boolean"
+          },
+          "instanceType": {
+            "type": "string",
+            "nullable": true
+          },
+          "properties": {
+            "type": "object",
+            "additionalProperties": {
+              "nullable": true
+            },
+            "nullable": true
+          },
+          "isPreemptable": {
+            "type": "boolean"
+          }
+        },
+        "additionalProperties": false
+      },
+      "AEVADataStoreMode": {
+        "enum": [
+          "None",
+          "Mount",
+          "Download",
+          "Upload",
+          "Direct",
+          "Hdfs",
+          "Link"
+        ],
+        "type": "string"
+      },
+      "AEVAIdentityType": {
+        "enum": [
+          "UserIdentity",
+          "Managed",
+          "AMLToken"
+        ],
+        "type": "string"
+      },
+      "AEVAResourceConfiguration": {
+        "type": "object",
+        "properties": {
+          "instanceCount": {
+            "type": "integer",
+            "format": "int32",
+            "nullable": true
+          },
+          "instanceType": {
+            "type": "string",
+            "nullable": true
+          },
+          "properties": {
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+            "additionalProperties": {
+              "nullable": true
+            },
+            "nullable": true
+          },
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+            "items": {
+              "type": "string"
+            },
+            "nullable": true
+          },
+          "instancePriority": {
+            "type": "string",
+            "nullable": true
+          },
+          "quotaEnforcementResourceId": {
+            "type": "string",
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "AISuperComputerConfiguration": {
+        "type": "object",
+        "properties": {
+          "instanceType": {
+            "type": "string",
+            "nullable": true
+          },
+          "instanceTypes": {
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+            "items": {
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+          },
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+            "items": {
+              "type": "string"
+            },
+            "nullable": true
+          },
+          "aiSuperComputerStorageData": {
+            "type": "object",
+            "additionalProperties": {
+              "$ref": "#/components/schemas/AISuperComputerStorageReferenceConfiguration"
+            },
+            "nullable": true
+          },
+          "interactive": {
+            "type": "boolean"
+          },
+          "scalePolicy": {
+            "$ref": "#/components/schemas/AISuperComputerScalePolicy"
+          },
+          "virtualClusterArmId": {
+            "type": "string",
+            "nullable": true
+          },
+          "tensorboardLogDirectory": {
+            "type": "string",
+            "nullable": true
+          },
+          "sshPublicKey": {
+            "type": "string",
+            "nullable": true
+          },
+          "sshPublicKeys": {
+            "type": "array",
+            "items": {
+              "type": "string"
+            },
+            "nullable": true
+          },
+          "enableAzmlInt": {
+            "type": "boolean"
+          },
+          "priority": {
+            "type": "string",
+            "nullable": true
+          },
+          "slaTier": {
+            "type": "string",
+            "nullable": true
+          },
+          "suspendOnIdleTimeHours": {
+            "type": "integer",
+            "format": "int64",
+            "nullable": true
+          },
+          "userAlias": {
+            "type": "string",
+            "nullable": true
+          },
+          "quotaEnforcementResourceId": {
+            "type": "string",
+            "nullable": true
+          },
+          "modelComputeSpecificationId": {
+            "type": "string",
+            "nullable": true
+          },
+          "groupPolicyName": {
+            "type": "string",
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "AISuperComputerScalePolicy": {
+        "type": "object",
+        "properties": {
+          "autoScaleInstanceTypeCountSet": {
+            "type": "array",
+            "items": {
+              "type": "integer",
+              "format": "int32"
+            },
+            "nullable": true
+          },
+          "autoScaleIntervalInSec": {
+            "type": "integer",
+            "format": "int32",
+            "nullable": true
+          },
+          "maxInstanceTypeCount": {
+            "type": "integer",
+            "format": "int32",
+            "nullable": true
+          },
+          "minInstanceTypeCount": {
+            "type": "integer",
+            "format": "int32",
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "AISuperComputerStorageReferenceConfiguration": {
+        "type": "object",
+        "properties": {
+          "containerName": {
+            "type": "string",
+            "nullable": true
+          },
+          "relativePath": {
+            "type": "string",
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "AKSAdvanceSettings": {
+        "type": "object",
+        "properties": {
+          "autoScaler": {
+            "$ref": "#/components/schemas/AutoScaler"
+          },
+          "containerResourceRequirements": {
+            "$ref": "#/components/schemas/ContainerResourceRequirements"
+          },
+          "appInsightsEnabled": {
+            "type": "boolean",
+            "nullable": true
+          },
+          "scoringTimeoutMs": {
+            "type": "integer",
+            "format": "int32",
+            "nullable": true
+          },
+          "numReplicas": {
+            "type": "integer",
+            "format": "int32",
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "AKSReplicaStatus": {
+        "type": "object",
+        "properties": {
+          "desiredReplicas": {
+            "type": "integer",
+            "format": "int32"
+          },
+          "updatedReplicas": {
+            "type": "integer",
+            "format": "int32"
+          },
+          "availableReplicas": {
+            "type": "integer",
+            "format": "int32"
+          },
+          "error": {
+            "$ref": "#/components/schemas/ModelManagementErrorResponse"
+          }
+        },
+        "additionalProperties": false
+      },
+      "AMLComputeConfiguration": {
+        "type": "object",
+        "properties": {
+          "name": {
+            "type": "string",
+            "nullable": true
+          },
+          "vmSize": {
+            "type": "string",
+            "nullable": true
+          },
+          "vmPriority": {
+            "$ref": "#/components/schemas/VmPriority"
+          },
+          "retainCluster": {
+            "type": "boolean"
+          },
+          "clusterMaxNodeCount": {
+            "type": "integer",
+            "format": "int32",
+            "nullable": true
+          },
+          "osType": {
+            "type": "string",
+            "nullable": true
+          },
+          "virtualMachineImage": {
+            "type": "string",
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "APCloudConfiguration": {
+        "type": "object",
+        "properties": {
+          "referencedAPModuleGuid": {
+            "type": "string",
+            "nullable": true
+          },
+          "userAlias": {
+            "type": "string",
+            "nullable": true
+          },
+          "aetherModuleType": {
+            "type": "string",
+            "nullable": true
+          },
+          "allowOverwrite": {
+            "type": "boolean",
+            "nullable": true
+          },
+          "destinationExpirationDays": {
+            "type": "integer",
+            "format": "int32",
+            "nullable": true
+          },
+          "shouldRespectLineBoundaries": {
+            "type": "boolean",
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "ActionType": {
+        "enum": [
+          "SendValidationRequest",
+          "GetValidationStatus",
+          "SubmitBulkRun",
+          "LogRunResult",
+          "LogRunTerminatedEvent",
+          "SubmitFlowRun"
+        ],
+        "type": "string"
+      },
+      "Activate": {
+        "type": "object",
+        "properties": {
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+            "type": "string",
+            "nullable": true
+          },
+          "is": {
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "AdditionalErrorInfo": {
+        "type": "object",
+        "properties": {
+          "type": {
+            "type": "string",
+            "nullable": true
+          },
+          "info": {
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "AdhocTriggerScheduledCommandJobRequest": {
+        "type": "object",
+        "properties": {
+          "jobName": {
+            "type": "string",
+            "nullable": true
+          },
+          "jobDisplayName": {
+            "type": "string",
+            "nullable": true
+          },
+          "triggerTimeString": {
+            "type": "string",
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "AdhocTriggerScheduledSparkJobRequest": {
+        "type": "object",
+        "properties": {
+          "jobName": {
+            "type": "string",
+            "nullable": true
+          },
+          "jobDisplayName": {
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+            "nullable": true
+          },
+          "triggerTimeString": {
+            "type": "string",
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "AetherAPCloudConfiguration": {
+        "type": "object",
+        "properties": {
+          "referencedAPModuleGuid": {
+            "type": "string",
+            "nullable": true
+          },
+          "userAlias": {
+            "type": "string",
+            "nullable": true
+          },
+          "aetherModuleType": {
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+            "nullable": true
+          },
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+            "nullable": true
+          },
+          "destinationExpirationDays": {
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+            "format": "int32",
+            "nullable": true
+          },
+          "shouldRespectLineBoundaries": {
+            "type": "boolean",
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "AetherAmlDataset": {
+        "type": "object",
+        "properties": {
+          "registeredDataSetReference": {
+            "$ref": "#/components/schemas/AetherRegisteredDataSetReference"
+          },
+          "savedDataSetReference": {
+            "$ref": "#/components/schemas/AetherSavedDataSetReference"
+          },
+          "additionalTransformations": {
+            "type": "string",
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "AetherAmlSparkCloudSetting": {
+        "type": "object",
+        "properties": {
+          "entry": {
+            "$ref": "#/components/schemas/AetherEntrySetting"
+          },
+          "files": {
+            "type": "array",
+            "items": {
+              "type": "string"
+            },
+            "nullable": true
+          },
+          "archives": {
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+            "items": {
+              "type": "string"
+            },
+            "nullable": true
+          },
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+            "type": "array",
+            "items": {
+              "type": "string"
+            },
+            "nullable": true
+          },
+          "pyFiles": {
+            "type": "array",
+            "items": {
+              "type": "string"
+            },
+            "nullable": true
+          },
+          "driverMemory": {
+            "type": "string",
+            "nullable": true
+          },
+          "driverCores": {
+            "type": "integer",
+            "format": "int32",
+            "nullable": true
+          },
+          "executorMemory": {
+            "type": "string",
+            "nullable": true
+          },
+          "executorCores": {
+            "type": "integer",
+            "format": "int32",
+            "nullable": true
+          },
+          "numberExecutors": {
+            "type": "integer",
+            "format": "int32",
+            "nullable": true
+          },
+          "environmentAssetId": {
+            "type": "string",
+            "nullable": true
+          },
+          "environmentVariables": {
+            "type": "object",
+            "additionalProperties": {
+              "type": "string",
+              "nullable": true
+            },
+            "nullable": true
+          },
+          "inlineEnvironmentDefinitionString": {
+            "type": "string",
+            "nullable": true
+          },
+          "conf": {
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+            "additionalProperties": {
+              "type": "string",
+              "nullable": true
+            },
+            "nullable": true
+          },
+          "compute": {
+            "type": "string",
+            "nullable": true
+          },
+          "resources": {
+            "$ref": "#/components/schemas/AetherResourcesSetting"
+          },
+          "identity": {
+            "$ref": "#/components/schemas/AetherIdentitySetting"
+          }
+        },
+        "additionalProperties": false
+      },
+      "AetherArgumentAssignment": {
+        "type": "object",
+        "properties": {
+          "valueType": {
+            "$ref": "#/components/schemas/AetherArgumentValueType"
+          },
+          "value": {
+            "type": "string",
+            "nullable": true
+          },
+          "nestedArgumentList": {
+            "type": "array",
+            "items": {
+              "$ref": "#/components/schemas/AetherArgumentAssignment"
+            },
+            "nullable": true
+          },
+          "stringInterpolationArgumentList": {
+            "type": "array",
+            "items": {
+              "$ref": "#/components/schemas/AetherArgumentAssignment"
+            },
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "AetherArgumentValueType": {
+        "enum": [
+          "Literal",
+          "Parameter",
+          "Input",
+          "Output",
+          "NestedList",
+          "StringInterpolationList"
+        ],
+        "type": "string"
+      },
+      "AetherAssetDefinition": {
+        "type": "object",
+        "properties": {
+          "path": {
+            "type": "string",
+            "nullable": true
+          },
+          "type": {
+            "$ref": "#/components/schemas/AetherAssetType"
+          },
+          "assetId": {
+            "type": "string",
+            "nullable": true
+          },
+          "initialAssetId": {
+            "type": "string",
+            "nullable": true
+          },
+          "serializedAssetId": {
+            "type": "string",
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "AetherAssetOutputSettings": {
+        "type": "object",
+        "properties": {
+          "path": {
+            "type": "string",
+            "nullable": true
+          },
+          "PathParameterAssignment": {
+            "$ref": "#/components/schemas/AetherParameterAssignment"
+          },
+          "type": {
+            "$ref": "#/components/schemas/AetherAssetType"
+          },
+          "options": {
+            "type": "object",
+            "additionalProperties": {
+              "type": "string"
+            },
+            "description": "This is a dictionary",
+            "nullable": true
+          },
+          "dataStoreMode": {
+            "$ref": "#/components/schemas/AetherDataStoreMode"
+          },
+          "name": {
+            "type": "string",
+            "nullable": true
+          },
+          "version": {
+            "type": "string",
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "AetherAssetType": {
+        "enum": [
+          "UriFile",
+          "UriFolder",
+          "MLTable",
+          "CustomModel",
+          "MLFlowModel",
+          "TritonModel",
+          "OpenAIModel"
+        ],
+        "type": "string"
+      },
+      "AetherAutoFeaturizeConfiguration": {
+        "type": "object",
+        "properties": {
+          "featurizationConfig": {
+            "$ref": "#/components/schemas/AetherFeaturizationSettings"
+          }
+        },
+        "additionalProperties": false
+      },
+      "AetherAutoMLComponentConfiguration": {
+        "type": "object",
+        "properties": {
+          "autoTrainConfig": {
+            "$ref": "#/components/schemas/AetherAutoTrainConfiguration"
+          },
+          "autoFeaturizeConfig": {
+            "$ref": "#/components/schemas/AetherAutoFeaturizeConfiguration"
+          }
+        },
+        "additionalProperties": false
+      },
+      "AetherAutoTrainConfiguration": {
+        "type": "object",
+        "properties": {
+          "generalSettings": {
+            "$ref": "#/components/schemas/AetherGeneralSettings"
+          },
+          "limitSettings": {
+            "$ref": "#/components/schemas/AetherLimitSettings"
+          },
+          "dataSettings": {
+            "$ref": "#/components/schemas/AetherDataSettings"
+          },
+          "forecastingSettings": {
+            "$ref": "#/components/schemas/AetherForecastingSettings"
+          },
+          "trainingSettings": {
+            "$ref": "#/components/schemas/AetherTrainingSettings"
+          },
+          "sweepSettings": {
+            "$ref": "#/components/schemas/AetherSweepSettings"
+          },
+          "imageModelSettings": {
+            "type": "object",
+            "additionalProperties": {
+              "nullable": true
+            },
+            "nullable": true
+          },
+          "properties": {
+            "type": "object",
+            "additionalProperties": {
+              "type": "string",
+              "nullable": true
+            },
+            "nullable": true
+          },
+          "computeConfiguration": {
+            "$ref": "#/components/schemas/AetherComputeConfiguration"
+          },
+          "resourceConfigurtion": {
+            "$ref": "#/components/schemas/AetherResourceConfiguration"
+          },
+          "environmentId": {
+            "type": "string",
+            "nullable": true
+          },
+          "environmentVariables": {
+            "type": "object",
+            "additionalProperties": {
+              "type": "string",
+              "nullable": true
+            },
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "AetherAzureBlobReference": {
+        "type": "object",
+        "properties": {
+          "container": {
+            "type": "string",
+            "nullable": true
+          },
+          "sasToken": {
+            "type": "string",
+            "nullable": true
+          },
+          "uri": {
+            "type": "string",
+            "nullable": true
+          },
+          "account": {
+            "type": "string",
+            "nullable": true
+          },
+          "relativePath": {
+            "type": "string",
+            "nullable": true
+          },
+          "pathType": {
+            "$ref": "#/components/schemas/AetherFileBasedPathType"
+          },
+          "amlDataStoreName": {
+            "type": "string",
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "AetherAzureDataLakeGen2Reference": {
+        "type": "object",
+        "properties": {
+          "fileSystemName": {
+            "type": "string",
+            "nullable": true
+          },
+          "uri": {
+            "type": "string",
+            "nullable": true
+          },
+          "account": {
+            "type": "string",
+            "nullable": true
+          },
+          "relativePath": {
+            "type": "string",
+            "nullable": true
+          },
+          "pathType": {
+            "$ref": "#/components/schemas/AetherFileBasedPathType"
+          },
+          "amlDataStoreName": {
+            "type": "string",
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "AetherAzureDataLakeReference": {
+        "type": "object",
+        "properties": {
+          "tenant": {
+            "type": "string",
+            "nullable": true
+          },
+          "subscription": {
+            "type": "string",
+            "nullable": true
+          },
+          "resourceGroup": {
+            "type": "string",
+            "nullable": true
+          },
+          "dataLakeUri": {
+            "type": "string",
+            "nullable": true
+          },
+          "uri": {
+            "type": "string",
+            "nullable": true
+          },
+          "account": {
+            "type": "string",
+            "nullable": true
+          },
+          "relativePath": {
+            "type": "string",
+            "nullable": true
+          },
+          "pathType": {
+            "$ref": "#/components/schemas/AetherFileBasedPathType"
+          },
+          "amlDataStoreName": {
+            "type": "string",
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "AetherAzureDatabaseReference": {
+        "type": "object",
+        "properties": {
+          "serverUri": {
+            "type": "string",
+            "nullable": true
+          },
+          "databaseName": {
+            "type": "string",
+            "nullable": true
+          },
+          "tableName": {
+            "type": "string",
+            "nullable": true
+          },
+          "sqlQuery": {
+            "type": "string",
+            "nullable": true
+          },
+          "storedProcedureName": {
+            "type": "string",
+            "nullable": true
+          },
+          "storedProcedureParameters": {
+            "type": "array",
+            "items": {
+              "$ref": "#/components/schemas/AetherStoredProcedureParameter"
+            },
+            "nullable": true
+          },
+          "amlDataStoreName": {
+            "type": "string",
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "AetherAzureFilesReference": {
+        "type": "object",
+        "properties": {
+          "share": {
+            "type": "string",
+            "nullable": true
+          },
+          "uri": {
+            "type": "string",
+            "nullable": true
+          },
+          "account": {
+            "type": "string",
+            "nullable": true
+          },
+          "relativePath": {
+            "type": "string",
+            "nullable": true
+          },
+          "pathType": {
+            "$ref": "#/components/schemas/AetherFileBasedPathType"
+          },
+          "amlDataStoreName": {
+            "type": "string",
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "AetherBatchAiComputeInfo": {
+        "type": "object",
+        "properties": {
+          "batchAiSubscriptionId": {
+            "type": "string",
+            "nullable": true
+          },
+          "batchAiResourceGroup": {
+            "type": "string",
+            "nullable": true
+          },
+          "batchAiWorkspaceName": {
+            "type": "string",
+            "nullable": true
+          },
+          "clusterName": {
+            "type": "string",
+            "nullable": true
+          },
+          "nativeSharedDirectory": {
+            "type": "string",
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "AetherBuildArtifactInfo": {
+        "type": "object",
+        "properties": {
+          "type": {
+            "$ref": "#/components/schemas/AetherBuildSourceType"
+          },
+          "cloudBuildDropPathInfo": {
+            "$ref": "#/components/schemas/AetherCloudBuildDropPathInfo"
+          },
+          "vsoBuildArtifactInfo": {
+            "$ref": "#/components/schemas/AetherVsoBuildArtifactInfo"
+          }
+        },
+        "additionalProperties": false
+      },
+      "AetherBuildSourceType": {
+        "enum": [
+          "CloudBuild",
+          "Vso",
+          "VsoGit"
+        ],
+        "type": "string"
+      },
+      "AetherCloudBuildDropPathInfo": {
+        "type": "object",
+        "properties": {
+          "buildInfo": {
+            "$ref": "#/components/schemas/AetherCloudBuildInfo"
+          },
+          "root": {
+            "type": "string",
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "AetherCloudBuildInfo": {
+        "type": "object",
+        "properties": {
+          "queueInfo": {
+            "$ref": "#/components/schemas/AetherCloudBuildQueueInfo"
+          },
+          "buildId": {
+            "type": "string",
+            "nullable": true
+          },
+          "dropUrl": {
+            "type": "string",
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "AetherCloudBuildQueueInfo": {
+        "type": "object",
+        "properties": {
+          "buildQueue": {
+            "type": "string",
+            "nullable": true
+          },
+          "buildRole": {
+            "type": "string",
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "AetherCloudPrioritySetting": {
+        "type": "object",
+        "properties": {
+          "scopePriority": {
+            "$ref": "#/components/schemas/AetherPriorityConfiguration"
+          },
+          "AmlComputePriority": {
+            "$ref": "#/components/schemas/AetherPriorityConfiguration"
+          },
+          "ItpPriority": {
+            "$ref": "#/components/schemas/AetherPriorityConfiguration"
+          },
+          "SingularityPriority": {
+            "$ref": "#/components/schemas/AetherPriorityConfiguration"
+          }
+        },
+        "additionalProperties": false
+      },
+      "AetherCloudSettings": {
+        "type": "object",
+        "properties": {
+          "linkedSettings": {
+            "type": "array",
+            "items": {
+              "$ref": "#/components/schemas/AetherParameterAssignment"
+            },
+            "nullable": true
+          },
+          "priorityConfig": {
+            "$ref": "#/components/schemas/AetherPriorityConfiguration"
+          },
+          "hdiRunConfig": {
+            "$ref": "#/components/schemas/AetherHdiRunConfiguration"
+          },
+          "subGraphConfig": {
+            "$ref": "#/components/schemas/AetherSubGraphConfiguration"
+          },
+          "autoMLComponentConfig": {
+            "$ref": "#/components/schemas/AetherAutoMLComponentConfiguration"
+          },
+          "apCloudConfig": {
+            "$ref": "#/components/schemas/AetherAPCloudConfiguration"
+          },
+          "scopeCloudConfig": {
+            "$ref": "#/components/schemas/AetherScopeCloudConfiguration"
+          },
+          "esCloudConfig": {
+            "$ref": "#/components/schemas/AetherEsCloudConfiguration"
+          },
+          "dataTransferCloudConfig": {
+            "$ref": "#/components/schemas/AetherDataTransferCloudConfiguration"
+          },
+          "amlSparkCloudSetting": {
+            "$ref": "#/components/schemas/AetherAmlSparkCloudSetting"
+          },
+          "dataTransferV2CloudSetting": {
+            "$ref": "#/components/schemas/AetherDataTransferV2CloudSetting"
+          }
+        },
+        "additionalProperties": false
+      },
+      "AetherColumnTransformer": {
+        "type": "object",
+        "properties": {
+          "fields": {
+            "type": "array",
+            "items": {
+              "type": "string"
+            },
+            "nullable": true
+          },
+          "parameters": {
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "AetherComputeConfiguration": {
+        "type": "object",
+        "properties": {
+          "target": {
+            "type": "string",
+            "nullable": true
+          },
+          "instanceCount": {
+            "type": "integer",
+            "format": "int32",
+            "nullable": true
+          },
+          "isLocal": {
+            "type": "boolean"
+          },
+          "location": {
+            "type": "string",
+            "nullable": true
+          },
+          "isClusterless": {
+            "type": "boolean"
+          },
+          "instanceType": {
+            "type": "string",
+            "nullable": true
+          },
+          "properties": {
+            "type": "object",
+            "additionalProperties": {
+              "nullable": true
+            },
+            "nullable": true
+          },
+          "isPreemptable": {
+            "type": "boolean"
+          }
+        },
+        "additionalProperties": false
+      },
+      "AetherComputeSetting": {
+        "type": "object",
+        "properties": {
+          "name": {
+            "type": "string",
+            "nullable": true
+          },
+          "computeType": {
+            "$ref": "#/components/schemas/AetherComputeType"
+          },
+          "batchAiComputeInfo": {
+            "$ref": "#/components/schemas/AetherBatchAiComputeInfo"
+          },
+          "remoteDockerComputeInfo": {
+            "$ref": "#/components/schemas/AetherRemoteDockerComputeInfo"
+          },
+          "hdiClusterComputeInfo": {
+            "$ref": "#/components/schemas/AetherHdiClusterComputeInfo"
+          },
+          "mlcComputeInfo": {
+            "$ref": "#/components/schemas/AetherMlcComputeInfo"
+          },
+          "databricksComputeInfo": {
+            "$ref": "#/components/schemas/AetherDatabricksComputeInfo"
+          }
+        },
+        "additionalProperties": false
+      },
+      "AetherComputeType": {
+        "enum": [
+          "BatchAi",
+          "MLC",
+          "HdiCluster",
+          "RemoteDocker",
+          "Databricks",
+          "Aisc"
+        ],
+        "type": "string"
+      },
+      "AetherControlFlowType": {
+        "enum": [
+          "None",
+          "DoWhile",
+          "ParallelFor"
+        ],
+        "type": "string"
+      },
+      "AetherControlInput": {
+        "type": "object",
+        "properties": {
+          "name": {
+            "type": "string",
+            "nullable": true
+          },
+          "defaultValue": {
+            "$ref": "#/components/schemas/AetherControlInputValue"
+          }
+        },
+        "additionalProperties": false
+      },
+      "AetherControlInputValue": {
+        "enum": [
+          "None",
+          "False",
+          "True",
+          "Skipped"
+        ],
+        "type": "string"
+      },
+      "AetherControlOutput": {
+        "type": "object",
+        "properties": {
+          "name": {
+            "type": "string",
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "AetherControlType": {
+        "enum": [
+          "IfElse"
+        ],
+        "type": "string"
+      },
+      "AetherCopyDataTask": {
+        "type": "object",
+        "properties": {
+          "DataCopyMode": {
+            "$ref": "#/components/schemas/AetherDataCopyMode"
+          }
+        },
+        "additionalProperties": false
+      },
+      "AetherCosmosReference": {
+        "type": "object",
+        "properties": {
+          "cluster": {
+            "type": "string",
+            "nullable": true
+          },
+          "vc": {
+            "type": "string",
+            "nullable": true
+          },
+          "relativePath": {
+            "type": "string",
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "AetherCreatedBy": {
+        "type": "object",
+        "properties": {
+          "userObjectId": {
+            "type": "string",
+            "nullable": true
+          },
+          "userTenantId": {
+            "type": "string",
+            "nullable": true
+          },
+          "userName": {
+            "type": "string",
+            "nullable": true
+          },
+          "puid": {
+            "type": "string",
+            "nullable": true
+          },
+          "iss": {
+            "type": "string",
+            "nullable": true
+          },
+          "idp": {
+            "type": "string",
+            "nullable": true
+          },
+          "altsecId": {
+            "type": "string",
+            "nullable": true
+          },
+          "sourceIp": {
+            "type": "string",
+            "nullable": true
+          },
+          "skipRegistryPrivateLinkCheck": {
+            "type": "boolean"
+          }
+        },
+        "additionalProperties": false
+      },
+      "AetherCustomReference": {
+        "type": "object",
+        "properties": {
+          "amlDataStoreName": {
+            "type": "string",
+            "nullable": true
+          },
+          "relativePath": {
+            "type": "string",
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "AetherDBFSReference": {
+        "type": "object",
+        "properties": {
+          "relativePath": {
+            "type": "string",
+            "nullable": true
+          },
+          "amlDataStoreName": {
+            "type": "string",
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "AetherDataCopyMode": {
+        "enum": [
+          "MergeWithOverwrite",
+          "FailIfConflict"
+        ],
+        "type": "string"
+      },
+      "AetherDataLocation": {
+        "type": "object",
+        "properties": {
+          "storageType": {
+            "$ref": "#/components/schemas/AetherDataLocationStorageType"
+          },
+          "storageId": {
+            "type": "string",
+            "nullable": true
+          },
+          "uri": {
+            "type": "string",
+            "nullable": true
+          },
+          "dataStoreName": {
+            "type": "string",
+            "nullable": true
+          },
+          "dataReference": {
+            "$ref": "#/components/schemas/AetherDataReference"
+          },
+          "amlDataset": {
+            "$ref": "#/components/schemas/AetherAmlDataset"
+          },
+          "assetDefinition": {
+            "$ref": "#/components/schemas/AetherAssetDefinition"
+          },
+          "isCompliant": {
+            "type": "boolean"
+          },
+          "reuseCalculationFields": {
+            "$ref": "#/components/schemas/AetherDataLocationReuseCalculationFields"
+          }
+        },
+        "additionalProperties": false
+      },
+      "AetherDataLocationReuseCalculationFields": {
+        "type": "object",
+        "properties": {
+          "dataStoreName": {
+            "type": "string",
+            "nullable": true
+          },
+          "relativePath": {
+            "type": "string",
+            "nullable": true
+          },
+          "dataExperimentId": {
+            "type": "string",
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "AetherDataLocationStorageType": {
+        "enum": [
+          "Cosmos",
+          "AzureBlob",
+          "Artifact",
+          "Snapshot",
+          "SavedAmlDataset",
+          "Asset"
+        ],
+        "type": "string"
+      },
+      "AetherDataPath": {
+        "type": "object",
+        "properties": {
+          "dataStoreName": {
+            "type": "string",
+            "nullable": true
+          },
+          "relativePath": {
+            "type": "string",
+            "nullable": true
+          },
+          "sqlDataPath": {
+            "$ref": "#/components/schemas/AetherSqlDataPath"
+          }
+        },
+        "additionalProperties": false
+      },
+      "AetherDataReference": {
+        "type": "object",
+        "properties": {
+          "type": {
+            "$ref": "#/components/schemas/AetherDataReferenceType"
+          },
+          "azureBlobReference": {
+            "$ref": "#/components/schemas/AetherAzureBlobReference"
+          },
+          "azureDataLakeReference": {
+            "$ref": "#/components/schemas/AetherAzureDataLakeReference"
+          },
+          "azureFilesReference": {
+            "$ref": "#/components/schemas/AetherAzureFilesReference"
+          },
+          "cosmosReference": {
+            "$ref": "#/components/schemas/AetherCosmosReference"
+          },
+          "phillyHdfsReference": {
+            "$ref": "#/components/schemas/AetherPhillyHdfsReference"
+          },
+          "azureSqlDatabaseReference": {
+            "$ref": "#/components/schemas/AetherAzureDatabaseReference"
+          },
+          "azurePostgresDatabaseReference": {
+            "$ref": "#/components/schemas/AetherAzureDatabaseReference"
+          },
+          "azureDataLakeGen2Reference": {
+            "$ref": "#/components/schemas/AetherAzureDataLakeGen2Reference"
+          },
+          "dbfsReference": {
+            "$ref": "#/components/schemas/AetherDBFSReference"
+          },
+          "azureMySqlDatabaseReference": {
+            "$ref": "#/components/schemas/AetherAzureDatabaseReference"
+          },
+          "customReference": {
+            "$ref": "#/components/schemas/AetherCustomReference"
+          },
+          "hdfsReference": {
+            "$ref": "#/components/schemas/AetherHdfsReference"
+          }
+        },
+        "additionalProperties": false
+      },
+      "AetherDataReferenceType": {
+        "enum": [
+          "None",
+          "AzureBlob",
+          "AzureDataLake",
+          "AzureFiles",
+          "Cosmos",
+          "PhillyHdfs",
+          "AzureSqlDatabase",
+          "AzurePostgresDatabase",
+          "AzureDataLakeGen2",
+          "DBFS",
+          "AzureMySqlDatabase",
+          "Custom",
+          "Hdfs"
+        ],
+        "type": "string"
+      },
+      "AetherDataSetDefinition": {
+        "type": "object",
+        "properties": {
+          "dataTypeShortName": {
+            "type": "string",
+            "nullable": true
+          },
+          "parameterName": {
+            "type": "string",
+            "nullable": true
+          },
+          "value": {
+            "$ref": "#/components/schemas/AetherDataSetDefinitionValue"
+          }
+        },
+        "additionalProperties": false
+      },
+      "AetherDataSetDefinitionValue": {
+        "type": "object",
+        "properties": {
+          "literalValue": {
+            "$ref": "#/components/schemas/AetherDataPath"
+          },
+          "dataSetReference": {
+            "$ref": "#/components/schemas/AetherRegisteredDataSetReference"
+          },
+          "savedDataSetReference": {
+            "$ref": "#/components/schemas/AetherSavedDataSetReference"
+          },
+          "assetDefinition": {
+            "$ref": "#/components/schemas/AetherAssetDefinition"
+          }
+        },
+        "additionalProperties": false
+      },
+      "AetherDataSettings": {
+        "type": "object",
+        "properties": {
+          "targetColumnName": {
+            "type": "string",
+            "nullable": true
+          },
+          "weightColumnName": {
+            "type": "string",
+            "nullable": true
+          },
+          "positiveLabel": {
+            "type": "string",
+            "nullable": true
+          },
+          "validationData": {
+            "$ref": "#/components/schemas/AetherValidationDataSettings"
+          },
+          "testData": {
+            "$ref": "#/components/schemas/AetherTestDataSettings"
+          }
+        },
+        "additionalProperties": false
+      },
+      "AetherDataStoreMode": {
+        "enum": [
+          "None",
+          "Mount",
+          "Download",
+          "Upload",
+          "Direct",
+          "Hdfs",
+          "Link"
+        ],
+        "type": "string"
+      },
+      "AetherDataTransferCloudConfiguration": {
+        "type": "object",
+        "properties": {
+          "AllowOverwrite": {
+            "type": "boolean",
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "AetherDataTransferSink": {
+        "type": "object",
+        "properties": {
+          "type": {
+            "$ref": "#/components/schemas/AetherDataTransferStorageType"
+          },
+          "fileSystem": {
+            "$ref": "#/components/schemas/AetherFileSystem"
+          },
+          "databaseSink": {
+            "$ref": "#/components/schemas/AetherDatabaseSink"
+          }
+        },
+        "additionalProperties": false
+      },
+      "AetherDataTransferSource": {
+        "type": "object",
+        "properties": {
+          "type": {
+            "$ref": "#/components/schemas/AetherDataTransferStorageType"
+          },
+          "fileSystem": {
+            "$ref": "#/components/schemas/AetherFileSystem"
+          },
+          "databaseSource": {
+            "$ref": "#/components/schemas/AetherDatabaseSource"
+          }
+        },
+        "additionalProperties": false
+      },
+      "AetherDataTransferStorageType": {
+        "enum": [
+          "DataBase",
+          "FileSystem"
+        ],
+        "type": "string"
+      },
+      "AetherDataTransferTaskType": {
+        "enum": [
+          "ImportData",
+          "ExportData",
+          "CopyData"
+        ],
+        "type": "string"
+      },
+      "AetherDataTransferV2CloudSetting": {
+        "type": "object",
+        "properties": {
+          "taskType": {
+            "$ref": "#/components/schemas/AetherDataTransferTaskType"
+          },
+          "ComputeName": {
+            "type": "string",
+            "nullable": true
+          },
+          "CopyDataTask": {
+            "$ref": "#/components/schemas/AetherCopyDataTask"
+          },
+          "ImportDataTask": {
+            "$ref": "#/components/schemas/AetherImportDataTask"
+          },
+          "ExportDataTask": {
+            "$ref": "#/components/schemas/AetherExportDataTask"
+          },
+          "DataTransferSources": {
+            "type": "object",
+            "additionalProperties": {
+              "$ref": "#/components/schemas/AetherDataTransferSource"
+            },
+            "description": "This is a dictionary",
+            "nullable": true
+          },
+          "DataTransferSinks": {
+            "type": "object",
+            "additionalProperties": {
+              "$ref": "#/components/schemas/AetherDataTransferSink"
+            },
+            "description": "This is a dictionary",
+            "nullable": true
+          },
+          "DataCopyMode": {
+            "$ref": "#/components/schemas/AetherDataCopyMode"
+          }
+        },
+        "additionalProperties": false
+      },
+      "AetherDatabaseSink": {
+        "type": "object",
+        "properties": {
+          "connection": {
+            "type": "string",
+            "nullable": true
+          },
+          "table": {
+            "type": "string",
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "AetherDatabaseSource": {
+        "type": "object",
+        "properties": {
+          "connection": {
+            "type": "string",
+            "nullable": true
+          },
+          "query": {
+            "type": "string",
+            "nullable": true
+          },
+          "storedProcedureName": {
+            "type": "string",
+            "nullable": true
+          },
+          "storedProcedureParameters": {
+            "type": "array",
+            "items": {
+              "$ref": "#/components/schemas/AetherStoredProcedureParameter"
+            },
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "AetherDatabricksComputeInfo": {
+        "type": "object",
+        "properties": {
+          "existingClusterId": {
+            "type": "string",
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "AetherDatasetOutput": {
+        "type": "object",
+        "properties": {
+          "datasetType": {
+            "$ref": "#/components/schemas/AetherDatasetType"
+          },
+          "datasetRegistration": {
+            "$ref": "#/components/schemas/AetherDatasetRegistration"
+          },
+          "datasetOutputOptions": {
+            "$ref": "#/components/schemas/AetherDatasetOutputOptions"
+          }
+        },
+        "additionalProperties": false
+      },
+      "AetherDatasetOutputOptions": {
+        "type": "object",
+        "properties": {
+          "sourceGlobs": {
+            "$ref": "#/components/schemas/AetherGlobsOptions"
+          },
+          "pathOnDatastore": {
+            "type": "string",
+            "nullable": true
+          },
+          "PathOnDatastoreParameterAssignment": {
+            "$ref": "#/components/schemas/AetherParameterAssignment"
+          }
+        },
+        "additionalProperties": false
+      },
+      "AetherDatasetRegistration": {
+        "type": "object",
+        "properties": {
+          "name": {
+            "type": "string",
+            "nullable": true
+          },
+          "createNewVersion": {
+            "type": "boolean"
+          },
+          "description": {
+            "type": "string",
+            "nullable": true
+          },
+          "tags": {
+            "type": "object",
+            "additionalProperties": {
+              "type": "string",
+              "nullable": true
+            },
+            "nullable": true
+          },
+          "additionalTransformations": {
+            "type": "string",
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "AetherDatasetType": {
+        "enum": [
+          "File",
+          "Tabular"
+        ],
+        "type": "string"
+      },
+      "AetherDatastoreSetting": {
+        "type": "object",
+        "properties": {
+          "dataStoreName": {
+            "type": "string",
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "AetherDoWhileControlFlowInfo": {
+        "type": "object",
+        "properties": {
+          "outputPortNameToInputPortNamesMapping": {
+            "type": "object",
+            "additionalProperties": {
+              "type": "array",
+              "items": {
+                "type": "string"
+              },
+              "nullable": true
+            },
+            "nullable": true
+          },
+          "conditionOutputPortName": {
+            "type": "string",
+            "nullable": true
+          },
+          "runSettings": {
+            "$ref": "#/components/schemas/AetherDoWhileControlFlowRunSettings"
+          }
+        },
+        "additionalProperties": false
+      },
+      "AetherDoWhileControlFlowRunSettings": {
+        "type": "object",
+        "properties": {
+          "maxLoopIterationCount": {
+            "$ref": "#/components/schemas/AetherParameterAssignment"
+          }
+        },
+        "additionalProperties": false
+      },
+      "AetherDockerSettingConfiguration": {
+        "type": "object",
+        "properties": {
+          "useDocker": {
+            "type": "boolean",
+            "nullable": true
+          },
+          "sharedVolumes": {
+            "type": "boolean",
+            "nullable": true
+          },
+          "shmSize": {
+            "type": "string",
+            "nullable": true
+          },
+          "arguments": {
+            "type": "array",
+            "items": {
+              "type": "string"
+            },
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "AetherEarlyTerminationPolicyType": {
+        "enum": [
+          "Bandit",
+          "MedianStopping",
+          "TruncationSelection"
+        ],
+        "type": "string"
+      },
+      "AetherEntityInterfaceDocumentation": {
+        "type": "object",
+        "properties": {
+          "inputsDocumentation": {
+            "type": "object",
+            "additionalProperties": {
+              "type": "string",
+              "nullable": true
+            },
+            "nullable": true
+          },
+          "outputsDocumentation": {
+            "type": "object",
+            "additionalProperties": {
+              "type": "string",
+              "nullable": true
+            },
+            "nullable": true
+          },
+          "parametersDocumentation": {
+            "type": "object",
+            "additionalProperties": {
+              "type": "string",
+              "nullable": true
+            },
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "AetherEntityStatus": {
+        "enum": [
+          "Active",
+          "Deprecated",
+          "Disabled"
+        ],
+        "type": "string"
+      },
+      "AetherEntrySetting": {
+        "type": "object",
+        "properties": {
+          "file": {
+            "type": "string",
+            "nullable": true
+          },
+          "className": {
+            "type": "string",
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "AetherEnvironmentConfiguration": {
+        "type": "object",
+        "properties": {
+          "name": {
+            "type": "string",
+            "nullable": true
+          },
+          "version": {
+            "type": "string",
+            "nullable": true
+          },
+          "useEnvironmentDefinition": {
+            "type": "boolean"
+          },
+          "environmentDefinitionString": {
+            "type": "string",
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "AetherEsCloudConfiguration": {
+        "type": "object",
+        "properties": {
+          "enableOutputToFileBasedOnDataTypeId": {
+            "type": "boolean",
+            "nullable": true
+          },
+          "amlComputePriorityInternal": {
+            "$ref": "#/components/schemas/AetherPriorityConfiguration"
+          },
+          "itpPriorityInternal": {
+            "$ref": "#/components/schemas/AetherPriorityConfiguration"
+          },
+          "singularityPriorityInternal": {
+            "$ref": "#/components/schemas/AetherPriorityConfiguration"
+          },
+          "environment": {
+            "$ref": "#/components/schemas/AetherEnvironmentConfiguration"
+          },
+          "hyperDriveConfiguration": {
+            "$ref": "#/components/schemas/AetherHyperDriveConfiguration"
+          },
+          "k8sConfig": {
+            "$ref": "#/components/schemas/AetherK8sConfiguration"
+          },
+          "resourceConfig": {
+            "$ref": "#/components/schemas/AetherResourceConfiguration"
+          },
+          "torchDistributedConfig": {
+            "$ref": "#/components/schemas/AetherTorchDistributedConfiguration"
+          },
+          "targetSelectorConfig": {
+            "$ref": "#/components/schemas/AetherTargetSelectorConfiguration"
+          },
+          "dockerConfig": {
+            "$ref": "#/components/schemas/AetherDockerSettingConfiguration"
+          },
+          "environmentVariables": {
+            "type": "object",
+            "additionalProperties": {
+              "type": "string",
+              "nullable": true
+            },
+            "nullable": true
+          },
+          "maxRunDurationSeconds": {
+            "type": "integer",
+            "format": "int32",
+            "nullable": true
+          },
+          "identity": {
+            "$ref": "#/components/schemas/AetherIdentitySetting"
+          },
+          "applicationEndpoints": {
+            "type": "object",
+            "additionalProperties": {
+              "$ref": "#/components/schemas/ApplicationEndpointConfiguration"
+            },
+            "nullable": true
+          },
+          "runConfig": {
+            "type": "string",
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "AetherExecutionEnvironment": {
+        "enum": [
+          "ExeWorkerMachine",
+          "DockerContainerWithoutNetwork",
+          "DockerContainerWithNetwork",
+          "HyperVWithoutNetwork",
+          "HyperVWithNetwork"
+        ],
+        "type": "string"
+      },
+      "AetherExecutionPhase": {
+        "enum": [
+          "Execution",
+          "Initialization",
+          "Finalization"
+        ],
+        "type": "string"
+      },
+      "AetherExportDataTask": {
+        "type": "object",
+        "properties": {
+          "DataTransferSink": {
+            "$ref": "#/components/schemas/AetherDataTransferSink"
+          }
+        },
+        "additionalProperties": false
+      },
+      "AetherFeaturizationMode": {
+        "enum": [
+          "Auto",
+          "Custom",
+          "Off"
+        ],
+        "type": "string"
+      },
+      "AetherFeaturizationSettings": {
+        "type": "object",
+        "properties": {
+          "mode": {
+            "$ref": "#/components/schemas/AetherFeaturizationMode"
+          },
+          "blockedTransformers": {
+            "type": "array",
+            "items": {
+              "type": "string"
+            },
+            "nullable": true
+          },
+          "columnPurposes": {
+            "type": "object",
+            "additionalProperties": {
+              "type": "string",
+              "nullable": true
+            },
+            "nullable": true
+          },
+          "dropColumns": {
+            "type": "array",
+            "items": {
+              "type": "string"
+            },
+            "nullable": true
+          },
+          "transformerParams": {
+            "type": "object",
+            "additionalProperties": {
+              "type": "array",
+              "items": {
+                "$ref": "#/components/schemas/AetherColumnTransformer"
+              },
+              "nullable": true
+            },
+            "nullable": true
+          },
+          "datasetLanguage": {
+            "type": "string",
+            "nullable": true
+          },
+          "enableDnnFeaturization": {
+            "type": "boolean",
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "AetherFileBasedPathType": {
+        "enum": [
+          "Unknown",
+          "File",
+          "Folder"
+        ],
+        "type": "string"
+      },
+      "AetherFileSystem": {
+        "type": "object",
+        "properties": {
+          "connection": {
+            "type": "string",
+            "nullable": true
+          },
+          "path": {
+            "type": "string",
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "AetherForecastHorizon": {
+        "type": "object",
+        "properties": {
+          "mode": {
+            "$ref": "#/components/schemas/AetherForecastHorizonMode"
+          },
+          "value": {
+            "type": "integer",
+            "format": "int32"
+          }
+        },
+        "additionalProperties": false
+      },
+      "AetherForecastHorizonMode": {
+        "enum": [
+          "Auto",
+          "Custom"
+        ],
+        "type": "string"
+      },
+      "AetherForecastingSettings": {
+        "type": "object",
+        "properties": {
+          "countryOrRegionForHolidays": {
+            "type": "string",
+            "nullable": true
+          },
+          "timeColumnName": {
+            "type": "string",
+            "nullable": true
+          },
+          "targetLags": {
+            "$ref": "#/components/schemas/AetherTargetLags"
+          },
+          "targetRollingWindowSize": {
+            "$ref": "#/components/schemas/AetherTargetRollingWindowSize"
+          },
+          "forecastHorizon": {
+            "$ref": "#/components/schemas/AetherForecastHorizon"
+          },
+          "timeSeriesIdColumnNames": {
+            "type": "array",
+            "items": {
+              "type": "string"
+            },
+            "nullable": true
+          },
+          "frequency": {
+            "type": "string",
+            "nullable": true
+          },
+          "featureLags": {
+            "type": "string",
+            "nullable": true
+          },
+          "seasonality": {
+            "$ref": "#/components/schemas/AetherSeasonality"
+          },
+          "shortSeriesHandlingConfig": {
+            "$ref": "#/components/schemas/AetherShortSeriesHandlingConfiguration"
+          },
+          "useStl": {
+            "$ref": "#/components/schemas/AetherUseStl"
+          },
+          "targetAggregateFunction": {
+            "$ref": "#/components/schemas/AetherTargetAggregationFunction"
+          },
+          "cvStepSize": {
+            "type": "integer",
+            "format": "int32",
+            "nullable": true
+          },
+          "featuresUnknownAtForecastTime": {
+            "type": "array",
+            "items": {
+              "type": "string"
+            },
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "AetherGeneralSettings": {
+        "type": "object",
+        "properties": {
+          "primaryMetric": {
+            "$ref": "#/components/schemas/AetherPrimaryMetrics"
+          },
+          "taskType": {
+            "$ref": "#/components/schemas/AetherTaskType"
+          },
+          "logVerbosity": {
+            "$ref": "#/components/schemas/AetherLogVerbosity"
+          }
+        },
+        "additionalProperties": false
+      },
+      "AetherGlobsOptions": {
+        "type": "object",
+        "properties": {
+          "globPatterns": {
+            "type": "array",
+            "items": {
+              "type": "string"
+            },
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "AetherGraphControlNode": {
+        "type": "object",
+        "properties": {
+          "id": {
+            "type": "string",
+            "nullable": true
+          },
+          "controlType": {
+            "$ref": "#/components/schemas/AetherControlType"
+          },
+          "controlParameter": {
+            "$ref": "#/components/schemas/AetherParameterAssignment"
+          },
+          "runAttribution": {
+            "type": "string",
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "AetherGraphControlReferenceNode": {
+        "type": "object",
+        "properties": {
+          "id": {
+            "type": "string",
+            "nullable": true
+          },
+          "name": {
+            "type": "string",
+            "nullable": true
+          },
+          "comment": {
+            "type": "string",
+            "nullable": true
+          },
+          "controlFlowType": {
+            "$ref": "#/components/schemas/AetherControlFlowType"
+          },
+          "referenceNodeId": {
+            "type": "string",
+            "nullable": true
+          },
+          "doWhileControlFlowInfo": {
+            "$ref": "#/components/schemas/AetherDoWhileControlFlowInfo"
+          },
+          "parallelForControlFlowInfo": {
+            "$ref": "#/components/schemas/AetherParallelForControlFlowInfo"
+          },
+          "runAttribution": {
+            "type": "string",
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "AetherGraphDatasetNode": {
+        "type": "object",
+        "properties": {
+          "id": {
+            "type": "string",
+            "nullable": true
+          },
+          "datasetId": {
+            "type": "string",
+            "nullable": true
+          },
+          "dataPathParameterName": {
+            "type": "string",
+            "nullable": true
+          },
+          "dataSetDefinition": {
+            "$ref": "#/components/schemas/AetherDataSetDefinition"
+          }
+        },
+        "additionalProperties": false
+      },
+      "AetherGraphEdge": {
+        "type": "object",
+        "properties": {
+          "sourceOutputPort": {
+            "$ref": "#/components/schemas/AetherPortInfo"
+          },
+          "destinationInputPort": {
+            "$ref": "#/components/schemas/AetherPortInfo"
+          }
+        },
+        "additionalProperties": false
+      },
+      "AetherGraphEntity": {
+        "type": "object",
+        "properties": {
+          "moduleNodes": {
+            "type": "array",
+            "items": {
+              "$ref": "#/components/schemas/AetherGraphModuleNode"
+            },
+            "nullable": true
+          },
+          "datasetNodes": {
+            "type": "array",
+            "items": {
+              "$ref": "#/components/schemas/AetherGraphDatasetNode"
+            },
+            "nullable": true
+          },
+          "subGraphNodes": {
+            "type": "array",
+            "items": {
+              "$ref": "#/components/schemas/AetherGraphReferenceNode"
+            },
+            "nullable": true
+          },
+          "controlReferenceNodes": {
+            "type": "array",
+            "items": {
+              "$ref": "#/components/schemas/AetherGraphControlReferenceNode"
+            },
+            "nullable": true
+          },
+          "controlNodes": {
+            "type": "array",
+            "items": {
+              "$ref": "#/components/schemas/AetherGraphControlNode"
+            },
+            "nullable": true
+          },
+          "edges": {
+            "type": "array",
+            "items": {
+              "$ref": "#/components/schemas/AetherGraphEdge"
+            },
+            "nullable": true
+          },
+          "defaultCompute": {
+            "$ref": "#/components/schemas/AetherComputeSetting"
+          },
+          "defaultDatastore": {
+            "$ref": "#/components/schemas/AetherDatastoreSetting"
+          },
+          "defaultCloudPriority": {
+            "$ref": "#/components/schemas/AetherCloudPrioritySetting"
+          },
+          "parentSubGraphModuleIds": {
+            "type": "array",
+            "items": {
+              "type": "string"
+            },
+            "nullable": true
+          },
+          "id": {
+            "type": "string",
+            "nullable": true
+          },
+          "workspaceId": {
+            "type": "string",
+            "nullable": true
+          },
+          "etag": {
+            "type": "string",
+            "nullable": true
+          },
+          "tags": {
+            "type": "array",
+            "items": {
+              "type": "string"
+            },
+            "nullable": true
+          },
+          "createdDate": {
+            "type": "string",
+            "format": "date-time"
+          },
+          "lastModifiedDate": {
+            "type": "string",
+            "format": "date-time"
+          },
+          "entityStatus": {
+            "$ref": "#/components/schemas/AetherEntityStatus"
+          }
+        },
+        "additionalProperties": false
+      },
+      "AetherGraphModuleNode": {
+        "type": "object",
+        "properties": {
+          "cloudPriority": {
+            "type": "integer",
+            "format": "int32"
+          },
+          "defaultDataRetentionHint": {
+            "type": "integer",
+            "format": "int32",
+            "nullable": true
+          },
+          "complianceCluster": {
+            "type": "string",
+            "nullable": true
+          },
+          "euclidWorkspaceId": {
+            "type": "string",
+            "nullable": true
+          },
+          "attachedModules": {
+            "type": "array",
+            "items": {
+              "type": "string"
+            },
+            "nullable": true
+          },
+          "acceptableMachineClusters": {
+            "type": "array",
+            "items": {
+              "type": "string"
+            },
+            "nullable": true
+          },
+          "customDataLocationId": {
+            "type": "string",
+            "nullable": true
+          },
+          "alertTimeoutDuration": {
+            "type": "string",
+            "format": "date-span",
+            "nullable": true
+          },
+          "runconfig": {
+            "type": "string",
+            "nullable": true
+          },
+          "id": {
+            "type": "string",
+            "nullable": true
+          },
+          "moduleId": {
+            "type": "string",
+            "nullable": true
+          },
+          "comment": {
+            "type": "string",
+            "nullable": true
+          },
+          "name": {
+            "type": "string",
+            "nullable": true
+          },
+          "moduleParameters": {
+            "type": "array",
+            "items": {
+              "$ref": "#/components/schemas/AetherParameterAssignment"
+            },
+            "nullable": true
+          },
+          "moduleMetadataParameters": {
+            "type": "array",
+            "items": {
+              "$ref": "#/components/schemas/AetherParameterAssignment"
+            },
+            "nullable": true
+          },
+          "moduleOutputSettings": {
+            "type": "array",
+            "items": {
+              "$ref": "#/components/schemas/AetherOutputSetting"
+            },
+            "nullable": true
+          },
+          "moduleInputSettings": {
+            "type": "array",
+            "items": {
+              "$ref": "#/components/schemas/AetherInputSetting"
+            },
+            "nullable": true
+          },
+          "useGraphDefaultCompute": {
+            "type": "boolean"
+          },
+          "useGraphDefaultDatastore": {
+            "type": "boolean"
+          },
+          "regenerateOutput": {
+            "type": "boolean"
+          },
+          "controlInputs": {
+            "type": "array",
+            "items": {
+              "$ref": "#/components/schemas/AetherControlInput"
+            },
+            "nullable": true
+          },
+          "cloudSettings": {
+            "$ref": "#/components/schemas/AetherCloudSettings"
+          },
+          "executionPhase": {
+            "$ref": "#/components/schemas/AetherExecutionPhase"
+          },
+          "runAttribution": {
+            "type": "string",
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "AetherGraphReferenceNode": {
+        "type": "object",
+        "properties": {
+          "graphId": {
+            "type": "string",
+            "nullable": true
+          },
+          "defaultCompute": {
+            "$ref": "#/components/schemas/AetherComputeSetting"
+          },
+          "defaultDatastore": {
+            "$ref": "#/components/schemas/AetherDatastoreSetting"
+          },
+          "id": {
+            "type": "string",
+            "nullable": true
+          },
+          "moduleId": {
+            "type": "string",
+            "nullable": true
+          },
+          "comment": {
+            "type": "string",
+            "nullable": true
+          },
+          "name": {
+            "type": "string",
+            "nullable": true
+          },
+          "moduleParameters": {
+            "type": "array",
+            "items": {
+              "$ref": "#/components/schemas/AetherParameterAssignment"
+            },
+            "nullable": true
+          },
+          "moduleMetadataParameters": {
+            "type": "array",
+            "items": {
+              "$ref": "#/components/schemas/AetherParameterAssignment"
+            },
+            "nullable": true
+          },
+          "moduleOutputSettings": {
+            "type": "array",
+            "items": {
+              "$ref": "#/components/schemas/AetherOutputSetting"
+            },
+            "nullable": true
+          },
+          "moduleInputSettings": {
+            "type": "array",
+            "items": {
+              "$ref": "#/components/schemas/AetherInputSetting"
+            },
+            "nullable": true
+          },
+          "useGraphDefaultCompute": {
+            "type": "boolean"
+          },
+          "useGraphDefaultDatastore": {
+            "type": "boolean"
+          },
+          "regenerateOutput": {
+            "type": "boolean"
+          },
+          "controlInputs": {
+            "type": "array",
+            "items": {
+              "$ref": "#/components/schemas/AetherControlInput"
+            },
+            "nullable": true
+          },
+          "cloudSettings": {
+            "$ref": "#/components/schemas/AetherCloudSettings"
+          },
+          "executionPhase": {
+            "$ref": "#/components/schemas/AetherExecutionPhase"
+          },
+          "runAttribution": {
+            "type": "string",
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "AetherHdfsReference": {
+        "type": "object",
+        "properties": {
+          "amlDataStoreName": {
+            "type": "string",
+            "nullable": true
+          },
+          "relativePath": {
+            "type": "string",
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "AetherHdiClusterComputeInfo": {
+        "type": "object",
+        "properties": {
+          "address": {
+            "type": "string",
+            "nullable": true
+          },
+          "username": {
+            "type": "string",
+            "nullable": true
+          },
+          "password": {
+            "type": "string",
+            "nullable": true
+          },
+          "privateKey": {
+            "type": "string",
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "AetherHdiRunConfiguration": {
+        "type": "object",
+        "properties": {
+          "file": {
+            "type": "string",
+            "nullable": true
+          },
+          "className": {
+            "type": "string",
+            "nullable": true
+          },
+          "files": {
+            "type": "array",
+            "items": {
+              "type": "string"
+            },
+            "nullable": true
+          },
+          "archives": {
+            "type": "array",
+            "items": {
+              "type": "string"
+            },
+            "nullable": true
+          },
+          "jars": {
+            "type": "array",
+            "items": {
+              "type": "string"
+            },
+            "nullable": true
+          },
+          "pyFiles": {
+            "type": "array",
+            "items": {
+              "type": "string"
+            },
+            "nullable": true
+          },
+          "computeName": {
+            "type": "string",
+            "nullable": true
+          },
+          "queue": {
+            "type": "string",
+            "nullable": true
+          },
+          "driverMemory": {
+            "type": "string",
+            "nullable": true
+          },
+          "driverCores": {
+            "type": "integer",
+            "format": "int32",
+            "nullable": true
+          },
+          "executorMemory": {
+            "type": "string",
+            "nullable": true
+          },
+          "executorCores": {
+            "type": "integer",
+            "format": "int32",
+            "nullable": true
+          },
+          "numberExecutors": {
+            "type": "integer",
+            "format": "int32",
+            "nullable": true
+          },
+          "conf": {
+            "type": "object",
+            "additionalProperties": {
+              "type": "string",
+              "nullable": true
+            },
+            "nullable": true
+          },
+          "name": {
+            "type": "string",
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "AetherHyperDriveConfiguration": {
+        "type": "object",
+        "properties": {
+          "hyperDriveRunConfig": {
+            "type": "string",
+            "nullable": true
+          },
+          "primaryMetricGoal": {
+            "type": "string",
+            "nullable": true
+          },
+          "primaryMetricName": {
+            "type": "string",
+            "nullable": true
+          },
+          "arguments": {
+            "type": "array",
+            "items": {
+              "$ref": "#/components/schemas/AetherArgumentAssignment"
+            },
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "AetherIdentitySetting": {
+        "type": "object",
+        "properties": {
+          "type": {
+            "$ref": "#/components/schemas/AetherIdentityType"
+          },
+          "clientId": {
+            "type": "string",
+            "format": "uuid",
+            "nullable": true
+          },
+          "objectId": {
+            "type": "string",
+            "format": "uuid",
+            "nullable": true
+          },
+          "msiResourceId": {
+            "type": "string",
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "AetherIdentityType": {
+        "enum": [
+          "UserIdentity",
+          "Managed",
+          "AMLToken"
+        ],
+        "type": "string"
+      },
+      "AetherImportDataTask": {
+        "type": "object",
+        "properties": {
+          "DataTransferSource": {
+            "$ref": "#/components/schemas/AetherDataTransferSource"
+          }
+        },
+        "additionalProperties": false
+      },
+      "AetherInputSetting": {
+        "type": "object",
+        "properties": {
+          "name": {
+            "type": "string",
+            "nullable": true
+          },
+          "dataStoreMode": {
+            "$ref": "#/components/schemas/AetherDataStoreMode"
+          },
+          "pathOnCompute": {
+            "type": "string",
+            "nullable": true
+          },
+          "options": {
+            "type": "object",
+            "additionalProperties": {
+              "type": "string"
+            },
+            "description": "This is a dictionary",
+            "nullable": true
+          },
+          "additionalTransformations": {
+            "type": "string",
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "AetherInteractiveConfig": {
+        "type": "object",
+        "properties": {
+          "isSSHEnabled": {
+            "type": "boolean",
+            "nullable": true
+          },
+          "sshPublicKey": {
+            "type": "string",
+            "nullable": true
+          },
+          "isIPythonEnabled": {
+            "type": "boolean",
+            "nullable": true
+          },
+          "isTensorBoardEnabled": {
+            "type": "boolean",
+            "nullable": true
+          },
+          "interactivePort": {
+            "type": "integer",
+            "format": "int32",
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "AetherK8sConfiguration": {
+        "type": "object",
+        "properties": {
+          "maxRetryCount": {
+            "type": "integer",
+            "format": "int32",
+            "nullable": true
+          },
+          "resourceConfiguration": {
+            "$ref": "#/components/schemas/AetherResourceConfig"
+          },
+          "priorityConfiguration": {
+            "$ref": "#/components/schemas/AetherPriorityConfig"
+          },
+          "interactiveConfiguration": {
+            "$ref": "#/components/schemas/AetherInteractiveConfig"
+          }
+        },
+        "additionalProperties": false
+      },
+      "AetherLegacyDataPath": {
+        "type": "object",
+        "properties": {
+          "dataStoreName": {
+            "type": "string",
+            "nullable": true
+          },
+          "dataStoreMode": {
+            "$ref": "#/components/schemas/AetherDataStoreMode"
+          },
+          "relativePath": {
+            "type": "string",
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "AetherLimitSettings": {
+        "type": "object",
+        "properties": {
+          "maxTrials": {
+            "type": "integer",
+            "format": "int32",
+            "nullable": true
+          },
+          "timeout": {
+            "type": "string",
+            "format": "date-span",
+            "nullable": true
+          },
+          "trialTimeout": {
+            "type": "string",
+            "format": "date-span",
+            "nullable": true
+          },
+          "maxConcurrentTrials": {
+            "type": "integer",
+            "format": "int32",
+            "nullable": true
+          },
+          "maxCoresPerTrial": {
+            "type": "integer",
+            "format": "int32",
+            "nullable": true
+          },
+          "exitScore": {
+            "type": "number",
+            "format": "double",
+            "nullable": true
+          },
+          "enableEarlyTermination": {
+            "type": "boolean",
+            "nullable": true
+          },
+          "maxNodes": {
+            "type": "integer",
+            "format": "int32",
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "AetherLogVerbosity": {
+        "enum": [
+          "NotSet",
+          "Debug",
+          "Info",
+          "Warning",
+          "Error",
+          "Critical"
+        ],
+        "type": "string"
+      },
+      "AetherMlcComputeInfo": {
+        "type": "object",
+        "properties": {
+          "mlcComputeType": {
+            "type": "string",
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "AetherModuleDeploymentSource": {
+        "enum": [
+          "Client",
+          "AutoDeployment",
+          "Vsts"
+        ],
+        "type": "string"
+      },
+      "AetherModuleEntity": {
+        "type": "object",
+        "properties": {
+          "lastUpdatedBy": {
+            "$ref": "#/components/schemas/AetherCreatedBy"
+          },
+          "displayName": {
+            "type": "string",
+            "nullable": true
+          },
+          "moduleExecutionType": {
+            "type": "string",
+            "nullable": true
+          },
+          "moduleType": {
+            "$ref": "#/components/schemas/AetherModuleType"
+          },
+          "moduleTypeVersion": {
+            "type": "string",
+            "nullable": true
+          },
+          "resourceRequirements": {
+            "$ref": "#/components/schemas/AetherResourceModel"
+          },
+          "machineCluster": {
+            "type": "array",
+            "items": {
+              "type": "string"
+            },
+            "nullable": true
+          },
+          "defaultComplianceCluster": {
+            "type": "string",
+            "nullable": true
+          },
+          "repositoryType": {
+            "$ref": "#/components/schemas/AetherRepositoryType"
+          },
+          "relativePathToSourceCode": {
+            "type": "string",
+            "nullable": true
+          },
+          "commitId": {
+            "type": "string",
+            "nullable": true
+          },
+          "codeReviewLink": {
+            "type": "string",
+            "nullable": true
+          },
+          "unitTestsAvailable": {
+            "type": "boolean"
+          },
+          "isCompressed": {
+            "type": "boolean"
+          },
+          "executionEnvironment": {
+            "$ref": "#/components/schemas/AetherExecutionEnvironment"
+          },
+          "isOutputMarkupEnabled": {
+            "type": "boolean"
+          },
+          "dockerImageId": {
+            "type": "string",
+            "nullable": true
+          },
+          "dockerImageReference": {
+            "type": "string",
+            "nullable": true
+          },
+          "dockerImageSecurityGroups": {
+            "type": "string",
+            "nullable": true
+          },
+          "extendedProperties": {
+            "$ref": "#/components/schemas/AetherModuleExtendedProperties"
+          },
+          "deploymentSource": {
+            "$ref": "#/components/schemas/AetherModuleDeploymentSource"
+          },
+          "deploymentSourceMetadata": {
+            "type": "string",
+            "nullable": true
+          },
+          "identifierHash": {
+            "type": "string",
+            "nullable": true
+          },
+          "identifierHashV2": {
+            "type": "string",
+            "nullable": true
+          },
+          "kvTags": {
+            "type": "object",
+            "additionalProperties": {
+              "type": "string"
+            },
+            "description": "This is a dictionary",
+            "nullable": true
+          },
+          "properties": {
+            "type": "object",
+            "additionalProperties": {
+              "type": "string"
+            },
+            "description": "This is a dictionary",
+            "nullable": true
+          },
+          "createdBy": {
+            "$ref": "#/components/schemas/AetherCreatedBy"
+          },
+          "runconfig": {
+            "type": "string",
+            "nullable": true
+          },
+          "cloudSettings": {
+            "$ref": "#/components/schemas/AetherCloudSettings"
+          },
+          "category": {
+            "type": "string",
+            "nullable": true
+          },
+          "stepType": {
+            "type": "string",
+            "nullable": true
+          },
+          "stage": {
+            "type": "string",
+            "nullable": true
+          },
+          "uploadState": {
+            "$ref": "#/components/schemas/AetherUploadState"
+          },
+          "sourceCodeLocation": {
+            "type": "string",
+            "nullable": true
+          },
+          "sizeInBytes": {
+            "type": "integer",
+            "format": "int64"
+          },
+          "downloadLocation": {
+            "type": "string",
+            "nullable": true
+          },
+          "dataLocation": {
+            "$ref": "#/components/schemas/AetherDataLocation"
+          },
+          "scriptingRuntimeId": {
+            "type": "string",
+            "nullable": true
+          },
+          "interfaceDocumentation": {
+            "$ref": "#/components/schemas/AetherEntityInterfaceDocumentation"
+          },
+          "isEyesOn": {
+            "type": "boolean"
+          },
+          "complianceCluster": {
+            "type": "string",
+            "nullable": true
+          },
+          "isDeterministic": {
+            "type": "boolean"
+          },
+          "informationUrl": {
+            "type": "string",
+            "nullable": true
+          },
+          "isExperimentIdInParameters": {
+            "type": "boolean"
+          },
+          "interfaceString": {
+            "type": "string",
+            "nullable": true
+          },
+          "defaultParameters": {
+            "type": "object",
+            "additionalProperties": {
+              "type": "string"
+            },
+            "description": "This is a dictionary",
+            "nullable": true
+          },
+          "structuredInterface": {
+            "$ref": "#/components/schemas/AetherStructuredInterface"
+          },
+          "familyId": {
+            "type": "string",
+            "nullable": true
+          },
+          "name": {
+            "type": "string",
+            "nullable": true
+          },
+          "hash": {
+            "type": "string",
+            "nullable": true
+          },
+          "description": {
+            "type": "string",
+            "nullable": true
+          },
+          "version": {
+            "type": "string",
+            "nullable": true
+          },
+          "sequenceNumberInFamily": {
+            "type": "integer",
+            "format": "int32"
+          },
+          "owner": {
+            "type": "string",
+            "nullable": true
+          },
+          "azureTenantId": {
+            "type": "string",
+            "nullable": true
+          },
+          "azureUserId": {
+            "type": "string",
+            "nullable": true
+          },
+          "collaborators": {
+            "type": "array",
+            "items": {
+              "type": "string"
+            },
+            "nullable": true
+          },
+          "id": {
+            "type": "string",
+            "nullable": true
+          },
+          "workspaceId": {
+            "type": "string",
+            "nullable": true
+          },
+          "etag": {
+            "type": "string",
+            "nullable": true
+          },
+          "tags": {
+            "type": "array",
+            "items": {
+              "type": "string"
+            },
+            "nullable": true
+          },
+          "createdDate": {
+            "type": "string",
+            "format": "date-time"
+          },
+          "lastModifiedDate": {
+            "type": "string",
+            "format": "date-time"
+          },
+          "entityStatus": {
+            "$ref": "#/components/schemas/AetherEntityStatus"
+          }
+        },
+        "additionalProperties": false
+      },
+      "AetherModuleExtendedProperties": {
+        "type": "object",
+        "properties": {
+          "autoDeployedArtifact": {
+            "$ref": "#/components/schemas/AetherBuildArtifactInfo"
+          },
+          "scriptNeedsApproval": {
+            "type": "boolean"
+          }
+        },
+        "additionalProperties": false
+      },
+      "AetherModuleHashVersion": {
+        "enum": [
+          "IdentifierHash",
+          "IdentifierHashV2"
+        ],
+        "type": "string"
+      },
+      "AetherModuleType": {
+        "enum": [
+          "None",
+          "BatchInferencing"
+        ],
+        "type": "string"
+      },
+      "AetherNCrossValidationMode": {
+        "enum": [
+          "Auto",
+          "Custom"
+        ],
+        "type": "string"
+      },
+      "AetherNCrossValidations": {
+        "type": "object",
+        "properties": {
+          "mode": {
+            "$ref": "#/components/schemas/AetherNCrossValidationMode"
+          },
+          "value": {
+            "type": "integer",
+            "format": "int32"
+          }
+        },
+        "additionalProperties": false
+      },
+      "AetherOutputSetting": {
+        "type": "object",
+        "properties": {
+          "name": {
+            "type": "string",
+            "nullable": true
+          },
+          "dataStoreName": {
+            "type": "string",
+            "nullable": true
+          },
+          "DataStoreNameParameterAssignment": {
+            "$ref": "#/components/schemas/AetherParameterAssignment"
+          },
+          "dataStoreMode": {
+            "$ref": "#/components/schemas/AetherDataStoreMode"
+          },
+          "DataStoreModeParameterAssignment": {
+            "$ref": "#/components/schemas/AetherParameterAssignment"
+          },
+          "pathOnCompute": {
+            "type": "string",
+            "nullable": true
+          },
+          "PathOnComputeParameterAssignment": {
+            "$ref": "#/components/schemas/AetherParameterAssignment"
+          },
+          "overwrite": {
+            "type": "boolean"
+          },
+          "dataReferenceName": {
+            "type": "string",
+            "nullable": true
+          },
+          "webServicePort": {
+            "type": "string",
+            "nullable": true
+          },
+          "datasetRegistration": {
+            "$ref": "#/components/schemas/AetherDatasetRegistration"
+          },
+          "datasetOutputOptions": {
+            "$ref": "#/components/schemas/AetherDatasetOutputOptions"
+          },
+          "AssetOutputSettings": {
+            "$ref": "#/components/schemas/AetherAssetOutputSettings"
+          },
+          "parameterName": {
+            "type": "string",
+            "nullable": true
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+            "type": "string",
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "AetherParallelForControlFlowInfo": {
+        "type": "object",
+        "properties": {
+          "parallelForItemsInput": {
+            "$ref": "#/components/schemas/AetherParameterAssignment"
+          }
+        },
+        "additionalProperties": false
+      },
+      "AetherParameterAssignment": {
+        "type": "object",
+        "properties": {
+          "valueType": {
+            "$ref": "#/components/schemas/AetherParameterValueType"
+          },
+          "assignmentsToConcatenate": {
+            "type": "array",
+            "items": {
+              "$ref": "#/components/schemas/AetherParameterAssignment"
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+            "nullable": true
+          },
+          "dataPathAssignment": {
+            "$ref": "#/components/schemas/AetherLegacyDataPath"
+          },
+          "dataSetDefinitionValueAssignment": {
+            "$ref": "#/components/schemas/AetherDataSetDefinitionValue"
+          },
+          "name": {
+            "type": "string",
+            "nullable": true
+          },
+          "value": {
+            "type": "string",
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "AetherParameterType": {
+        "enum": [
+          "Int",
+          "Double",
+          "Bool",
+          "String",
+          "Undefined"
+        ],
+        "type": "string"
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+        "enum": [
+          "Literal",
+          "GraphParameterName",
+          "Concatenate",
+          "Input",
+          "DataPath",
+          "DataSetDefinition"
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+        "type": "string"
+      },
+      "AetherPhillyHdfsReference": {
+        "type": "object",
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+          "cluster": {
+            "type": "string",
+            "nullable": true
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+          "vc": {
+            "type": "string",
+            "nullable": true
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+            "type": "string",
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "AetherPortInfo": {
+        "type": "object",
+        "properties": {
+          "nodeId": {
+            "type": "string",
+            "nullable": true
+          },
+          "portName": {
+            "type": "string",
+            "nullable": true
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+            "type": "string",
+            "nullable": true
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+            "type": "boolean"
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+          "webServicePort": {
+            "type": "string",
+            "nullable": true
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+        "additionalProperties": false
+      },
+      "AetherPrimaryMetrics": {
+        "enum": [
+          "AUCWeighted",
+          "Accuracy",
+          "NormMacroRecall",
+          "AveragePrecisionScoreWeighted",
+          "PrecisionScoreWeighted",
+          "SpearmanCorrelation",
+          "NormalizedRootMeanSquaredError",
+          "R2Score",
+          "NormalizedMeanAbsoluteError",
+          "NormalizedRootMeanSquaredLogError",
+          "MeanAveragePrecision",
+          "Iou"
+        ],
+        "type": "string"
+      },
+      "AetherPriorityConfig": {
+        "type": "object",
+        "properties": {
+          "jobPriority": {
+            "type": "integer",
+            "format": "int32",
+            "nullable": true
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+          "isPreemptible": {
+            "type": "boolean",
+            "nullable": true
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+            "type": "array",
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+              "type": "integer",
+              "format": "int32"
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+            "nullable": true
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+            "type": "integer",
+            "format": "int32",
+            "nullable": true
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+        "additionalProperties": false
+      },
+      "AetherPriorityConfiguration": {
+        "type": "object",
+        "properties": {
+          "cloudPriority": {
+            "type": "integer",
+            "format": "int32",
+            "nullable": true
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+          "stringTypePriority": {
+            "type": "string",
+            "nullable": true
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+        },
+        "additionalProperties": false
+      },
+      "AetherRegisteredDataSetReference": {
+        "type": "object",
+        "properties": {
+          "id": {
+            "type": "string",
+            "nullable": true
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+          "name": {
+            "type": "string",
+            "nullable": true
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+            "type": "string",
+            "nullable": true
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+        "additionalProperties": false
+      },
+      "AetherRemoteDockerComputeInfo": {
+        "type": "object",
+        "properties": {
+          "address": {
+            "type": "string",
+            "nullable": true
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+          "username": {
+            "type": "string",
+            "nullable": true
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+            "type": "string",
+            "nullable": true
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+            "type": "string",
+            "nullable": true
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+        "additionalProperties": false
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+      "AetherRepositoryType": {
+        "enum": [
+          "None",
+          "Other",
+          "Git",
+          "SourceDepot",
+          "Cosmos"
+        ],
+        "type": "string"
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+      "AetherResourceAssignment": {
+        "type": "object",
+        "properties": {
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+            "type": "object",
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+              "$ref": "#/components/schemas/AetherResourceAttributeAssignment"
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+            "nullable": true
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+        "additionalProperties": false
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+      "AetherResourceAttributeAssignment": {
+        "type": "object",
+        "properties": {
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+            "$ref": "#/components/schemas/AetherResourceAttributeDefinition"
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+          "operator": {
+            "$ref": "#/components/schemas/AetherResourceOperator"
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+          "value": {
+            "type": "string",
+            "nullable": true
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+      "AetherResourceAttributeDefinition": {
+        "type": "object",
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+            "type": "string",
+            "nullable": true
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+          "type": {
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+            "nullable": true
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+            "type": "array",
+            "items": {
+              "$ref": "#/components/schemas/AetherResourceOperator"
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+            "nullable": true
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+        "additionalProperties": false
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+      "AetherResourceConfig": {
+        "type": "object",
+        "properties": {
+          "gpuCount": {
+            "type": "integer",
+            "format": "int32",
+            "nullable": true
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+            "type": "integer",
+            "format": "int32",
+            "nullable": true
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+            "type": "integer",
+            "format": "int32",
+            "nullable": true
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+        "additionalProperties": false
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+      "AetherResourceConfiguration": {
+        "type": "object",
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+            "type": "integer",
+            "format": "int32",
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+            "type": "string",
+            "nullable": true
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+        "additionalProperties": false
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+        "type": "object",
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+            "type": "array",
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+              "$ref": "#/components/schemas/AetherResourceAssignment"
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+          "GreaterOrEqual"
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+        "type": "string"
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+        "enum": [
+          "String",
+          "Double"
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+        "type": "string"
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+      "AetherResourcesSetting": {
+        "type": "object",
+        "properties": {
+          "instanceSize": {
+            "type": "string",
+            "nullable": true
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+          "sparkVersion": {
+            "type": "string",
+            "nullable": true
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+        "additionalProperties": false
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+        "enum": [
+          "Random",
+          "Grid",
+          "Bayesian"
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+        "type": "string"
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+      "AetherSavedDataSetReference": {
+        "type": "object",
+        "properties": {
+          "id": {
+            "type": "string",
+            "nullable": true
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+        "additionalProperties": false
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+      "AetherScopeCloudConfiguration": {
+        "type": "object",
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+            "type": "object",
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+              "$ref": "#/components/schemas/AetherArgumentAssignment"
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+            "nullable": true
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+          "outputPathSuffixes": {
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+            "additionalProperties": {
+              "$ref": "#/components/schemas/AetherArgumentAssignment"
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+            "description": "This is a dictionary",
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+            "type": "number",
+            "format": "float",
+            "nullable": true
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+        "additionalProperties": false
+      },
+      "AetherSeasonality": {
+        "type": "object",
+        "properties": {
+          "mode": {
+            "$ref": "#/components/schemas/AetherSeasonalityMode"
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+          "value": {
+            "type": "integer",
+            "format": "int32"
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+        "additionalProperties": false
+      },
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+        "enum": [
+          "Auto",
+          "Custom"
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+        "type": "string"
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+      "AetherShortSeriesHandlingConfiguration": {
+        "enum": [
+          "Auto",
+          "Pad",
+          "Drop"
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+        "type": "string"
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+      "AetherSqlDataPath": {
+        "type": "object",
+        "properties": {
+          "sqlTableName": {
+            "type": "string",
+            "nullable": true
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+            "type": "string",
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+            "type": "string",
+            "nullable": true
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+            "type": "array",
+            "items": {
+              "$ref": "#/components/schemas/AetherStoredProcedureParameter"
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+            "nullable": true
+          }
+        },
+        "additionalProperties": false
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+      "AetherStackEnsembleSettings": {
+        "type": "object",
+        "properties": {
+          "stackMetaLearnerType": {
+            "$ref": "#/components/schemas/AetherStackMetaLearnerType"
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+          "stackMetaLearnerTrainPercentage": {
+            "type": "number",
+            "format": "double",
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+          "stackMetaLearnerKWargs": {
+            "nullable": true
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+        "additionalProperties": false
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+      "AetherStackMetaLearnerType": {
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+          "None",
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+          "ElasticNet",
+          "ElasticNetCV",
+          "LightGBMRegressor",
+          "LinearRegression"
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+        "type": "string"
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+      "AetherStoredProcedureParameter": {
+        "type": "object",
+        "properties": {
+          "name": {
+            "type": "string",
+            "nullable": true
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+          "value": {
+            "type": "string",
+            "nullable": true
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+          "type": {
+            "$ref": "#/components/schemas/AetherStoredProcedureParameterType"
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+        },
+        "additionalProperties": false
+      },
+      "AetherStoredProcedureParameterType": {
+        "enum": [
+          "String",
+          "Int",
+          "Decimal",
+          "Guid",
+          "Boolean",
+          "Date"
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+        "type": "string"
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+      "AetherStructuredInterface": {
+        "type": "object",
+        "properties": {
+          "commandLinePattern": {
+            "type": "string",
+            "nullable": true
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+            "items": {
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+            "nullable": true
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+            "type": "array",
+            "items": {
+              "$ref": "#/components/schemas/AetherStructuredInterfaceOutput"
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+            "nullable": true
+          },
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+            "type": "array",
+            "items": {
+              "$ref": "#/components/schemas/AetherControlOutput"
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+            "nullable": true
+          },
+          "parameters": {
+            "type": "array",
+            "items": {
+              "$ref": "#/components/schemas/AetherStructuredInterfaceParameter"
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+            "nullable": true
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+          "metadataParameters": {
+            "type": "array",
+            "items": {
+              "$ref": "#/components/schemas/AetherStructuredInterfaceParameter"
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+            "nullable": true
+          },
+          "arguments": {
+            "type": "array",
+            "items": {
+              "$ref": "#/components/schemas/AetherArgumentAssignment"
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+            "nullable": true
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+        },
+        "additionalProperties": false
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+      "AetherStructuredInterfaceInput": {
+        "type": "object",
+        "properties": {
+          "name": {
+            "type": "string",
+            "nullable": true
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+          "label": {
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+            "nullable": true
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+            "type": "boolean"
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+          "isResource": {
+            "type": "boolean"
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+          "dataStoreMode": {
+            "$ref": "#/components/schemas/AetherDataStoreMode"
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+          "pathOnCompute": {
+            "type": "string",
+            "nullable": true
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+          "overwrite": {
+            "type": "boolean"
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+          "dataReferenceName": {
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+            "type": "array",
+            "items": {
+              "$ref": "#/components/schemas/AetherDatasetType"
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+            "nullable": true
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+          "additionalTransformations": {
+            "type": "string",
+            "nullable": true
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+        "additionalProperties": false
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+        "type": "object",
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+            "nullable": true
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+          "label": {
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+            "nullable": true
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+            "type": "string",
+            "nullable": true
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+            "type": "string",
+            "nullable": true
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+            "type": "string",
+            "nullable": true
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+            "type": "boolean"
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+          "isArtifact": {
+            "type": "boolean"
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+            "type": "string",
+            "nullable": true
+          },
+          "dataStoreMode": {
+            "$ref": "#/components/schemas/AetherDataStoreMode"
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+          "pathOnCompute": {
+            "type": "string",
+            "nullable": true
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+          "overwrite": {
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+          "dataReferenceName": {
+            "type": "string",
+            "nullable": true
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+          "trainingOutput": {
+            "$ref": "#/components/schemas/AetherTrainingOutput"
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+          "datasetOutput": {
+            "$ref": "#/components/schemas/AetherDatasetOutput"
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+          "AssetOutputSettings": {
+            "$ref": "#/components/schemas/AetherAssetOutputSettings"
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+          "earlyAvailable": {
+            "type": "boolean"
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+        },
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+      "AetherStructuredInterfaceParameter": {
+        "type": "object",
+        "properties": {
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+            "nullable": true
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+            "type": "boolean"
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+            "additionalProperties": {
+              "type": "string"
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+            "description": "This is a dictionary",
+            "nullable": true
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+            "type": "string",
+            "nullable": true
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+            "type": "boolean"
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+            "type": "string",
+            "nullable": true
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+            "type": "string",
+            "nullable": true
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+              "type": "string"
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+            "$ref": "#/components/schemas/AetherUIParameterHint"
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+            "type": "array",
+            "items": {
+              "type": "string"
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+            "nullable": true
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+            "type": "string",
+            "nullable": true
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+        "additionalProperties": false
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+        "type": "object",
+        "properties": {
+          "graphId": {
+            "type": "string",
+            "nullable": true
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+          "graphDraftId": {
+            "type": "string",
+            "nullable": true
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+            "$ref": "#/components/schemas/AetherComputeSetting"
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+          "defaultDatastoreInternal": {
+            "$ref": "#/components/schemas/AetherDatastoreSetting"
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+          "DefaultCloudPriority": {
+            "$ref": "#/components/schemas/AetherCloudPrioritySetting"
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+          "UserAlias": {
+            "type": "string",
+            "nullable": true
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+            "type": "boolean",
+            "default": false,
+            "nullable": true
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+      },
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+        "type": "object",
+        "properties": {
+          "policyType": {
+            "$ref": "#/components/schemas/AetherEarlyTerminationPolicyType"
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+          "evaluationInterval": {
+            "type": "integer",
+            "format": "int32",
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+            "type": "integer",
+            "format": "int32",
+            "nullable": true
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+            "type": "number",
+            "format": "float",
+            "nullable": true
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+            "type": "number",
+            "format": "float",
+            "nullable": true
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+            "type": "integer",
+            "format": "int32",
+            "nullable": true
+          }
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+        "additionalProperties": false
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+      "AetherSweepSettings": {
+        "type": "object",
+        "properties": {
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+            "$ref": "#/components/schemas/AetherSweepSettingsLimits"
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+          "searchSpace": {
+            "type": "array",
+            "items": {
+              "type": "object",
+              "additionalProperties": {
+                "type": "string"
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+            "nullable": true
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+            "$ref": "#/components/schemas/AetherSamplingAlgorithmType"
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+          "earlyTermination": {
+            "$ref": "#/components/schemas/AetherSweepEarlyTerminationPolicy"
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+        "additionalProperties": false
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+      "AetherSweepSettingsLimits": {
+        "type": "object",
+        "properties": {
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+            "type": "integer",
+            "format": "int32",
+            "nullable": true
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+            "type": "integer",
+            "format": "int32",
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+        "additionalProperties": false
+      },
+      "AetherTabularTrainingMode": {
+        "enum": [
+          "Distributed",
+          "NonDistributed",
+          "Auto"
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+        "type": "string"
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+      "AetherTargetAggregationFunction": {
+        "enum": [
+          "Sum",
+          "Max",
+          "Min",
+          "Mean"
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+        "type": "string"
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+      "AetherTargetLags": {
+        "type": "object",
+        "properties": {
+          "mode": {
+            "$ref": "#/components/schemas/AetherTargetLagsMode"
+          },
+          "values": {
+            "type": "array",
+            "items": {
+              "type": "integer",
+              "format": "int32"
+            },
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "AetherTargetLagsMode": {
+        "enum": [
+          "Auto",
+          "Custom"
+        ],
+        "type": "string"
+      },
+      "AetherTargetRollingWindowSize": {
+        "type": "object",
+        "properties": {
+          "mode": {
+            "$ref": "#/components/schemas/AetherTargetRollingWindowSizeMode"
+          },
+          "value": {
+            "type": "integer",
+            "format": "int32"
+          }
+        },
+        "additionalProperties": false
+      },
+      "AetherTargetRollingWindowSizeMode": {
+        "enum": [
+          "Auto",
+          "Custom"
+        ],
+        "type": "string"
+      },
+      "AetherTargetSelectorConfiguration": {
+        "type": "object",
+        "properties": {
+          "lowPriorityVMTolerant": {
+            "type": "boolean"
+          },
+          "clusterBlockList": {
+            "type": "array",
+            "items": {
+              "type": "string"
+            },
+            "nullable": true
+          },
+          "computeType": {
+            "type": "string",
+            "nullable": true
+          },
+          "instanceType": {
+            "type": "array",
+            "items": {
+              "type": "string"
+            },
+            "nullable": true
+          },
+          "instanceTypes": {
+            "type": "array",
+            "items": {
+              "type": "string"
+            },
+            "nullable": true
+          },
+          "myResourceOnly": {
+            "type": "boolean"
+          },
+          "planId": {
+            "type": "string",
+            "nullable": true
+          },
+          "planRegionId": {
+            "type": "string",
+            "nullable": true
+          },
+          "region": {
+            "type": "array",
+            "items": {
+              "type": "string"
+            },
+            "nullable": true
+          },
+          "regions": {
+            "type": "array",
+            "items": {
+              "type": "string"
+            },
+            "nullable": true
+          },
+          "vcBlockList": {
+            "type": "array",
+            "items": {
+              "type": "string"
+            },
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "AetherTaskType": {
+        "enum": [
+          "Classification",
+          "Regression",
+          "Forecasting",
+          "ImageClassification",
+          "ImageClassificationMultilabel",
+          "ImageObjectDetection",
+          "ImageInstanceSegmentation",
+          "TextClassification",
+          "TextMultiLabeling",
+          "TextNER",
+          "TextClassificationMultilabel"
+        ],
+        "type": "string"
+      },
+      "AetherTestDataSettings": {
+        "type": "object",
+        "properties": {
+          "testDataSize": {
+            "type": "number",
+            "format": "double",
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "AetherTorchDistributedConfiguration": {
+        "type": "object",
+        "properties": {
+          "processCountPerNode": {
+            "type": "integer",
+            "format": "int32",
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "AetherTrainingOutput": {
+        "type": "object",
+        "properties": {
+          "trainingOutputType": {
+            "$ref": "#/components/schemas/AetherTrainingOutputType"
+          },
+          "iteration": {
+            "type": "integer",
+            "format": "int32",
+            "nullable": true
+          },
+          "metric": {
+            "type": "string",
+            "nullable": true
+          },
+          "modelFile": {
+            "type": "string",
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "AetherTrainingOutputType": {
+        "enum": [
+          "Metrics",
+          "Model"
+        ],
+        "type": "string"
+      },
+      "AetherTrainingSettings": {
+        "type": "object",
+        "properties": {
+          "blockListModels": {
+            "type": "array",
+            "items": {
+              "type": "string"
+            },
+            "nullable": true
+          },
+          "allowListModels": {
+            "type": "array",
+            "items": {
+              "type": "string"
+            },
+            "nullable": true
+          },
+          "enableDnnTraining": {
+            "type": "boolean",
+            "nullable": true
+          },
+          "enableOnnxCompatibleModels": {
+            "type": "boolean",
+            "nullable": true
+          },
+          "stackEnsembleSettings": {
+            "$ref": "#/components/schemas/AetherStackEnsembleSettings"
+          },
+          "enableStackEnsemble": {
+            "type": "boolean",
+            "nullable": true
+          },
+          "enableVoteEnsemble": {
+            "type": "boolean",
+            "nullable": true
+          },
+          "ensembleModelDownloadTimeout": {
+            "type": "string",
+            "format": "date-span",
+            "nullable": true
+          },
+          "enableModelExplainability": {
+            "type": "boolean",
+            "nullable": true
+          },
+          "trainingMode": {
+            "$ref": "#/components/schemas/AetherTabularTrainingMode"
+          }
+        },
+        "additionalProperties": false
+      },
+      "AetherUIAzureOpenAIDeploymentNameSelector": {
+        "type": "object",
+        "properties": {
+          "Capabilities": {
+            "$ref": "#/components/schemas/AetherUIAzureOpenAIModelCapabilities"
+          }
+        },
+        "additionalProperties": false
+      },
+      "AetherUIAzureOpenAIModelCapabilities": {
+        "type": "object",
+        "properties": {
+          "Completion": {
+            "type": "boolean",
+            "nullable": true
+          },
+          "ChatCompletion": {
+            "type": "boolean",
+            "nullable": true
+          },
+          "Embeddings": {
+            "type": "boolean",
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "AetherUIColumnPicker": {
+        "type": "object",
+        "properties": {
+          "columnPickerFor": {
+            "type": "string",
+            "nullable": true
+          },
+          "columnSelectionCategories": {
+            "type": "array",
+            "items": {
+              "type": "string"
+            },
+            "nullable": true
+          },
+          "singleColumnSelection": {
+            "type": "boolean"
+          }
+        },
+        "additionalProperties": false
+      },
+      "AetherUIJsonEditor": {
+        "type": "object",
+        "properties": {
+          "jsonSchema": {
+            "type": "string",
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "AetherUIParameterHint": {
+        "type": "object",
+        "properties": {
+          "uiWidgetType": {
+            "$ref": "#/components/schemas/AetherUIWidgetTypeEnum"
+          },
+          "columnPicker": {
+            "$ref": "#/components/schemas/AetherUIColumnPicker"
+          },
+          "uiScriptLanguage": {
+            "$ref": "#/components/schemas/AetherUIScriptLanguageEnum"
+          },
+          "jsonEditor": {
+            "$ref": "#/components/schemas/AetherUIJsonEditor"
+          },
+          "PromptFlowConnectionSelector": {
+            "$ref": "#/components/schemas/AetherUIPromptFlowConnectionSelector"
+          },
+          "AzureOpenAIDeploymentNameSelector": {
+            "$ref": "#/components/schemas/AetherUIAzureOpenAIDeploymentNameSelector"
+          },
+          "UxIgnore": {
+            "type": "boolean"
+          },
+          "Anonymous": {
+            "type": "boolean"
+          }
+        },
+        "additionalProperties": false
+      },
+      "AetherUIPromptFlowConnectionSelector": {
+        "type": "object",
+        "properties": {
+          "PromptFlowConnectionType": {
+            "type": "string",
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "AetherUIScriptLanguageEnum": {
+        "enum": [
+          "None",
+          "Python",
+          "R",
+          "Json",
+          "Sql"
+        ],
+        "type": "string"
+      },
+      "AetherUIWidgetTypeEnum": {
+        "enum": [
+          "Default",
+          "Mode",
+          "ColumnPicker",
+          "Credential",
+          "Script",
+          "ComputeSelection",
+          "JsonEditor",
+          "SearchSpaceParameter",
+          "SectionToggle",
+          "YamlEditor",
+          "EnableRuntimeSweep",
+          "DataStoreSelection",
+          "InstanceTypeSelection",
+          "ConnectionSelection",
+          "PromptFlowConnectionSelection",
+          "AzureOpenAIDeploymentNameSelection"
+        ],
+        "type": "string"
+      },
+      "AetherUploadState": {
+        "enum": [
+          "Uploading",
+          "Completed",
+          "Canceled",
+          "Failed"
+        ],
+        "type": "string"
+      },
+      "AetherUseStl": {
+        "enum": [
+          "Season",
+          "SeasonTrend"
+        ],
+        "type": "string"
+      },
+      "AetherValidationDataSettings": {
+        "type": "object",
+        "properties": {
+          "nCrossValidations": {
+            "$ref": "#/components/schemas/AetherNCrossValidations"
+          },
+          "validationDataSize": {
+            "type": "number",
+            "format": "double",
+            "nullable": true
+          },
+          "cvSplitColumnNames": {
+            "type": "array",
+            "items": {
+              "type": "string"
+            },
+            "nullable": true
+          },
+          "validationType": {
+            "type": "string",
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "AetherVsoBuildArtifactInfo": {
+        "type": "object",
+        "properties": {
+          "buildInfo": {
+            "$ref": "#/components/schemas/AetherVsoBuildInfo"
+          },
+          "downloadUrl": {
+            "type": "string",
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "AetherVsoBuildDefinitionInfo": {
+        "type": "object",
+        "properties": {
+          "accountName": {
+            "type": "string",
+            "nullable": true
+          },
+          "projectId": {
+            "type": "string",
+            "format": "uuid"
+          },
+          "buildDefinitionId": {
+            "type": "integer",
+            "format": "int32"
+          }
+        },
+        "additionalProperties": false
+      },
+      "AetherVsoBuildInfo": {
+        "type": "object",
+        "properties": {
+          "definitionInfo": {
+            "$ref": "#/components/schemas/AetherVsoBuildDefinitionInfo"
+          },
+          "buildId": {
+            "type": "integer",
+            "format": "int32"
+          }
+        },
+        "additionalProperties": false
+      },
+      "AmlDataset": {
+        "type": "object",
+        "properties": {
+          "registeredDataSetReference": {
+            "$ref": "#/components/schemas/RegisteredDataSetReference"
+          },
+          "savedDataSetReference": {
+            "$ref": "#/components/schemas/SavedDataSetReference"
+          },
+          "additionalTransformations": {
+            "type": "string",
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "AmlK8sConfiguration": {
+        "type": "object",
+        "properties": {
+          "resourceConfiguration": {
+            "$ref": "#/components/schemas/ResourceConfiguration"
+          },
+          "priorityConfiguration": {
+            "$ref": "#/components/schemas/AmlK8sPriorityConfiguration"
+          },
+          "interactiveConfiguration": {
+            "$ref": "#/components/schemas/InteractiveConfiguration"
+          }
+        },
+        "additionalProperties": false
+      },
+      "AmlK8sPriorityConfiguration": {
+        "type": "object",
+        "properties": {
+          "jobPriority": {
+            "type": "integer",
+            "format": "int32",
+            "nullable": true
+          },
+          "isPreemptible": {
+            "type": "boolean",
+            "nullable": true
+          },
+          "nodeCountSet": {
+            "type": "array",
+            "items": {
+              "type": "integer",
+              "format": "int32"
+            },
+            "nullable": true
+          },
+          "scaleInterval": {
+            "type": "integer",
+            "format": "int32",
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "AmlSparkCloudSetting": {
+        "type": "object",
+        "properties": {
+          "entry": {
+            "$ref": "#/components/schemas/EntrySetting"
+          },
+          "files": {
+            "type": "array",
+            "items": {
+              "type": "string"
+            },
+            "nullable": true
+          },
+          "archives": {
+            "type": "array",
+            "items": {
+              "type": "string"
+            },
+            "nullable": true
+          },
+          "jars": {
+            "type": "array",
+            "items": {
+              "type": "string"
+            },
+            "nullable": true
+          },
+          "pyFiles": {
+            "type": "array",
+            "items": {
+              "type": "string"
+            },
+            "nullable": true
+          },
+          "driverMemory": {
+            "type": "string",
+            "nullable": true
+          },
+          "driverCores": {
+            "type": "integer",
+            "format": "int32",
+            "nullable": true
+          },
+          "executorMemory": {
+            "type": "string",
+            "nullable": true
+          },
+          "executorCores": {
+            "type": "integer",
+            "format": "int32",
+            "nullable": true
+          },
+          "numberExecutors": {
+            "type": "integer",
+            "format": "int32",
+            "nullable": true
+          },
+          "environmentAssetId": {
+            "type": "string",
+            "nullable": true
+          },
+          "environmentVariables": {
+            "type": "object",
+            "additionalProperties": {
+              "type": "string",
+              "nullable": true
+            },
+            "nullable": true
+          },
+          "inlineEnvironmentDefinitionString": {
+            "type": "string",
+            "nullable": true
+          },
+          "conf": {
+            "type": "object",
+            "additionalProperties": {
+              "type": "string",
+              "nullable": true
+            },
+            "nullable": true
+          },
+          "compute": {
+            "type": "string",
+            "nullable": true
+          },
+          "resources": {
+            "$ref": "#/components/schemas/ResourcesSetting"
+          },
+          "identity": {
+            "$ref": "#/components/schemas/IdentitySetting"
+          }
+        },
+        "additionalProperties": false
+      },
+      "ApiAndParameters": {
+        "type": "object",
+        "properties": {
+          "api": {
+            "type": "string",
+            "nullable": true
+          },
+          "parameters": {
+            "type": "object",
+            "additionalProperties": {
+              "$ref": "#/components/schemas/FlowToolSettingParameter"
+            },
+            "description": "This is a dictionary",
+            "nullable": true
+          },
+          "default_prompt": {
+            "type": "string",
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "ApplicationEndpointConfiguration": {
+        "type": "object",
+        "properties": {
+          "type": {
+            "$ref": "#/components/schemas/ApplicationEndpointType"
+          },
+          "port": {
+            "type": "integer",
+            "format": "int32",
+            "nullable": true
+          },
+          "properties": {
+            "type": "object",
+            "additionalProperties": {
+              "type": "string",
+              "nullable": true
+            },
+            "nullable": true
+          },
+          "nodes": {
+            "$ref": "#/components/schemas/Nodes"
+          }
+        },
+        "additionalProperties": false
+      },
+      "ApplicationEndpointType": {
+        "enum": [
+          "Jupyter",
+          "JupyterLab",
+          "SSH",
+          "TensorBoard",
+          "VSCode",
+          "Theia",
+          "Grafana",
+          "Custom",
+          "RayDashboard"
+        ],
+        "type": "string"
+      },
+      "ArgumentAssignment": {
+        "type": "object",
+        "properties": {
+          "valueType": {
+            "$ref": "#/components/schemas/ArgumentValueType"
+          },
+          "value": {
+            "type": "string",
+            "nullable": true
+          },
+          "nestedArgumentList": {
+            "type": "array",
+            "items": {
+              "$ref": "#/components/schemas/ArgumentAssignment"
+            },
+            "nullable": true
+          },
+          "stringInterpolationArgumentList": {
+            "type": "array",
+            "items": {
+              "$ref": "#/components/schemas/ArgumentAssignment"
+            },
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "ArgumentValueType": {
+        "enum": [
+          "Literal",
+          "Parameter",
+          "Input",
+          "Output",
+          "NestedList",
+          "StringInterpolationList"
+        ],
+        "type": "string"
+      },
+      "Asset": {
+        "type": "object",
+        "properties": {
+          "assetId": {
+            "type": "string",
+            "nullable": true
+          },
+          "type": {
+            "type": "string",
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "AssetDefinition": {
+        "type": "object",
+        "properties": {
+          "path": {
+            "type": "string",
+            "nullable": true
+          },
+          "type": {
+            "$ref": "#/components/schemas/AEVAAssetType"
+          },
+          "assetId": {
+            "type": "string",
+            "nullable": true
+          },
+          "serializedAssetId": {
+            "type": "string",
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "AssetNameAndVersionIdentifier": {
+        "type": "object",
+        "properties": {
+          "assetName": {
+            "type": "string",
+            "nullable": true
+          },
+          "version": {
+            "type": "string",
+            "nullable": true
+          },
+          "feedName": {
+            "type": "string",
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "AssetOutputSettings": {
+        "type": "object",
+        "properties": {
+          "path": {
+            "type": "string",
+            "nullable": true
+          },
+          "PathParameterAssignment": {
+            "$ref": "#/components/schemas/ParameterAssignment"
+          },
+          "type": {
+            "$ref": "#/components/schemas/AEVAAssetType"
+          },
+          "options": {
+            "type": "object",
+            "additionalProperties": {
+              "type": "string"
+            },
+            "description": "This is a dictionary",
+            "nullable": true
+          },
+          "dataStoreMode": {
+            "$ref": "#/components/schemas/AEVADataStoreMode"
+          },
+          "name": {
+            "type": "string",
+            "nullable": true
+          },
+          "version": {
+            "type": "string",
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "AssetOutputSettingsParameter": {
+        "type": "object",
+        "properties": {
+          "name": {
+            "type": "string",
+            "nullable": true
+          },
+          "documentation": {
+            "type": "string",
+            "nullable": true
+          },
+          "defaultValue": {
+            "$ref": "#/components/schemas/AssetOutputSettings"
+          }
+        },
+        "additionalProperties": false
+      },
+      "AssetPublishResult": {
+        "type": "object",
+        "properties": {
+          "feedName": {
+            "type": "string",
+            "nullable": true
+          },
+          "assetName": {
+            "type": "string",
+            "nullable": true
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+          "assetVersion": {
+            "type": "string",
+            "nullable": true
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+          "stepName": {
+            "type": "string",
+            "nullable": true
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+          "status": {
+            "type": "string",
+            "nullable": true
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+          "errorMessage": {
+            "type": "string",
+            "nullable": true
+          },
+          "createdTime": {
+            "type": "string",
+            "format": "date-time"
+          },
+          "lastUpdatedTime": {
+            "type": "string",
+            "format": "date-time",
+            "nullable": true
+          },
+          "regionalPublishResults": {
+            "type": "object",
+            "additionalProperties": {
+              "$ref": "#/components/schemas/AssetPublishSingleRegionResult"
+            },
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "AssetPublishSingleRegionResult": {
+        "type": "object",
+        "properties": {
+          "stepName": {
+            "type": "string",
+            "nullable": true
+          },
+          "status": {
+            "type": "string",
+            "nullable": true
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+          "errorMessage": {
+            "type": "string",
+            "nullable": true
+          },
+          "lastUpdatedTime": {
+            "type": "string",
+            "format": "date-time"
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+          "totalSteps": {
+            "type": "integer",
+            "format": "int32"
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+          "finishedSteps": {
+            "type": "integer",
+            "format": "int32"
+          },
+          "remainingSteps": {
+            "type": "integer",
+            "format": "int32"
+          }
+        },
+        "additionalProperties": false
+      },
+      "AssetScopeTypes": {
+        "enum": [
+          "Workspace",
+          "Global",
+          "All",
+          "Feed"
+        ],
+        "type": "string"
+      },
+      "AssetSourceType": {
+        "enum": [
+          "Unknown",
+          "Local",
+          "GithubFile",
+          "GithubFolder",
+          "DevopsArtifactsZip"
+        ],
+        "type": "string"
+      },
+      "AssetType": {
+        "enum": [
+          "Component",
+          "Model",
+          "Environment",
+          "Dataset",
+          "DataStore",
+          "SampleGraph",
+          "FlowToolSetting",
+          "FlowConnection",
+          "FlowRuntimeSpec"
+        ],
+        "type": "string"
+      },
+      "AssetTypeMetaInfo": {
+        "type": "object",
+        "properties": {
+          "consumptionMode": {
+            "$ref": "#/components/schemas/ConsumeMode"
+          }
+        },
+        "additionalProperties": false
+      },
+      "AssetVersionPublishRequest": {
+        "type": "object",
+        "properties": {
+          "assetType": {
+            "$ref": "#/components/schemas/AssetType"
+          },
+          "assetSourceType": {
+            "$ref": "#/components/schemas/AssetSourceType"
+          },
+          "yamlFile": {
+            "type": "string",
+            "nullable": true
+          },
+          "sourceZipUrl": {
+            "type": "string",
+            "nullable": true
+          },
+          "sourceZipFile": {
+            "type": "string",
+            "format": "binary",
+            "nullable": true
+          },
+          "feedName": {
+            "type": "string",
+            "nullable": true
+          },
+          "setAsDefaultVersion": {
+            "type": "boolean"
+          },
+          "referencedAssets": {
+            "type": "array",
+            "items": {
+              "$ref": "#/components/schemas/AssetNameAndVersionIdentifier"
+            },
+            "nullable": true
+          },
+          "flowFile": {
+            "type": "string",
+            "nullable": true
+          },
+          "version": {
+            "type": "string",
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "AssignedUser": {
+        "type": "object",
+        "properties": {
+          "objectId": {
+            "type": "string",
+            "nullable": true
+          },
+          "tenantId": {
+            "type": "string",
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "AttachCosmosRequest": {
+        "type": "object",
+        "properties": {
+          "accountEndpoint": {
+            "type": "string",
+            "nullable": true
+          },
+          "resourceArmId": {
+            "type": "string",
+            "nullable": true
+          },
+          "databaseName": {
+            "type": "string",
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "AuthKeys": {
+        "type": "object",
+        "properties": {
+          "primaryKey": {
+            "type": "string",
+            "nullable": true
+          },
+          "secondaryKey": {
+            "type": "string",
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "AutoClusterComputeSpecification": {
+        "type": "object",
+        "properties": {
+          "instanceSize": {
+            "type": "string",
+            "nullable": true
+          },
+          "instancePriority": {
+            "type": "string",
+            "nullable": true
+          },
+          "osType": {
+            "type": "string",
+            "nullable": true
+          },
+          "location": {
+            "type": "string",
+            "nullable": true
+          },
+          "runtimeVersion": {
+            "type": "string",
+            "nullable": true
+          },
+          "quotaEnforcementResourceId": {
+            "type": "string",
+            "nullable": true
+          },
+          "modelComputeSpecificationId": {
+            "type": "string",
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "AutoDeleteCondition": {
+        "enum": [
+          "CreatedGreaterThan",
+          "LastAccessedGreaterThan"
+        ],
+        "type": "string"
+      },
+      "AutoDeleteSetting": {
+        "type": "object",
+        "properties": {
+          "condition": {
+            "$ref": "#/components/schemas/AutoDeleteCondition"
+          },
+          "value": {
+            "type": "string",
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "AutoFeaturizeConfiguration": {
+        "type": "object",
+        "properties": {
+          "featurizationConfig": {
+            "$ref": "#/components/schemas/FeaturizationSettings"
+          }
+        },
+        "additionalProperties": false
+      },
+      "AutoMLComponentConfiguration": {
+        "type": "object",
+        "properties": {
+          "autoTrainConfig": {
+            "$ref": "#/components/schemas/AutoTrainConfiguration"
+          },
+          "autoFeaturizeConfig": {
+            "$ref": "#/components/schemas/AutoFeaturizeConfiguration"
+          }
+        },
+        "additionalProperties": false
+      },
+      "AutoScaler": {
+        "type": "object",
+        "properties": {
+          "autoscaleEnabled": {
+            "type": "boolean",
+            "nullable": true
+          },
+          "minReplicas": {
+            "type": "integer",
+            "format": "int32",
+            "nullable": true
+          },
+          "maxReplicas": {
+            "type": "integer",
+            "format": "int32",
+            "nullable": true
+          },
+          "targetUtilization": {
+            "type": "integer",
+            "format": "int32",
+            "nullable": true
+          },
+          "refreshPeriodInSeconds": {
+            "type": "integer",
+            "format": "int32",
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "AutoTrainConfiguration": {
+        "type": "object",
+        "properties": {
+          "generalSettings": {
+            "$ref": "#/components/schemas/GeneralSettings"
+          },
+          "limitSettings": {
+            "$ref": "#/components/schemas/LimitSettings"
+          },
+          "dataSettings": {
+            "$ref": "#/components/schemas/DataSettings"
+          },
+          "forecastingSettings": {
+            "$ref": "#/components/schemas/ForecastingSettings"
+          },
+          "trainingSettings": {
+            "$ref": "#/components/schemas/TrainingSettings"
+          },
+          "sweepSettings": {
+            "$ref": "#/components/schemas/SweepSettings"
+          },
+          "imageModelSettings": {
+            "type": "object",
+            "additionalProperties": {
+              "nullable": true
+            },
+            "nullable": true
+          },
+          "properties": {
+            "type": "object",
+            "additionalProperties": {
+              "type": "string",
+              "nullable": true
+            },
+            "nullable": true
+          },
+          "computeConfiguration": {
+            "$ref": "#/components/schemas/AEVAComputeConfiguration"
+          },
+          "resourceConfigurtion": {
+            "$ref": "#/components/schemas/AEVAResourceConfiguration"
+          },
+          "environmentId": {
+            "type": "string",
+            "nullable": true
+          },
+          "environmentVariables": {
+            "type": "object",
+            "additionalProperties": {
+              "type": "string",
+              "nullable": true
+            },
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "AutologgerSettings": {
+        "type": "object",
+        "properties": {
+          "mlFlowAutologger": {
+            "$ref": "#/components/schemas/MLFlowAutologgerState"
+          }
+        },
+        "additionalProperties": false
+      },
+      "AvailabilityResponse": {
+        "type": "object",
+        "properties": {
+          "isAvailable": {
+            "type": "boolean"
+          },
+          "error": {
+            "$ref": "#/components/schemas/ErrorResponse"
+          }
+        },
+        "additionalProperties": false
+      },
+      "AzureBlobReference": {
+        "type": "object",
+        "properties": {
+          "container": {
+            "type": "string",
+            "nullable": true
+          },
+          "sasToken": {
+            "type": "string",
+            "nullable": true
+          },
+          "uri": {
+            "type": "string",
+            "nullable": true
+          },
+          "account": {
+            "type": "string",
+            "nullable": true
+          },
+          "relativePath": {
+            "type": "string",
+            "nullable": true
+          },
+          "amlDataStoreName": {
+            "type": "string",
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "AzureDataLakeGen2Reference": {
+        "type": "object",
+        "properties": {
+          "fileSystemName": {
+            "type": "string",
+            "nullable": true
+          },
+          "uri": {
+            "type": "string",
+            "nullable": true
+          },
+          "account": {
+            "type": "string",
+            "nullable": true
+          },
+          "relativePath": {
+            "type": "string",
+            "nullable": true
+          },
+          "amlDataStoreName": {
+            "type": "string",
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "AzureDataLakeReference": {
+        "type": "object",
+        "properties": {
+          "tenant": {
+            "type": "string",
+            "nullable": true
+          },
+          "subscription": {
+            "type": "string",
+            "nullable": true
+          },
+          "resourceGroup": {
+            "type": "string",
+            "nullable": true
+          },
+          "uri": {
+            "type": "string",
+            "nullable": true
+          },
+          "account": {
+            "type": "string",
+            "nullable": true
+          },
+          "relativePath": {
+            "type": "string",
+            "nullable": true
+          },
+          "amlDataStoreName": {
+            "type": "string",
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "AzureDatabaseReference": {
+        "type": "object",
+        "properties": {
+          "tableName": {
+            "type": "string",
+            "nullable": true
+          },
+          "sqlQuery": {
+            "type": "string",
+            "nullable": true
+          },
+          "storedProcedureName": {
+            "type": "string",
+            "nullable": true
+          },
+          "storedProcedureParameters": {
+            "type": "array",
+            "items": {
+              "$ref": "#/components/schemas/StoredProcedureParameter"
+            },
+            "nullable": true
+          },
+          "amlDataStoreName": {
+            "type": "string",
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "AzureFilesReference": {
+        "type": "object",
+        "properties": {
+          "share": {
+            "type": "string",
+            "nullable": true
+          },
+          "uri": {
+            "type": "string",
+            "nullable": true
+          },
+          "account": {
+            "type": "string",
+            "nullable": true
+          },
+          "relativePath": {
+            "type": "string",
+            "nullable": true
+          },
+          "amlDataStoreName": {
+            "type": "string",
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "AzureMLModuleVersionDescriptor": {
+        "type": "object",
+        "properties": {
+          "moduleVersionId": {
+            "type": "string",
+            "nullable": true
+          },
+          "version": {
+            "type": "string",
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "AzureOpenAIDeploymentDto": {
+        "type": "object",
+        "properties": {
+          "name": {
+            "type": "string",
+            "nullable": true
+          },
+          "modelName": {
+            "type": "string",
+            "nullable": true
+          },
+          "capabilities": {
+            "$ref": "#/components/schemas/AzureOpenAIModelCapabilities"
+          }
+        },
+        "additionalProperties": false
+      },
+      "AzureOpenAIModelCapabilities": {
+        "type": "object",
+        "properties": {
+          "completion": {
+            "type": "boolean",
+            "nullable": true
+          },
+          "chat_completion": {
+            "type": "boolean",
+            "nullable": true
+          },
+          "embeddings": {
+            "type": "boolean",
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "BatchAiComputeInfo": {
+        "type": "object",
+        "properties": {
+          "batchAiSubscriptionId": {
+            "type": "string",
+            "nullable": true
+          },
+          "batchAiResourceGroup": {
+            "type": "string",
+            "nullable": true
+          },
+          "batchAiWorkspaceName": {
+            "type": "string",
+            "nullable": true
+          },
+          "clusterName": {
+            "type": "string",
+            "nullable": true
+          },
+          "nativeSharedDirectory": {
+            "type": "string",
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "BatchDataInput": {
+        "type": "object",
+        "properties": {
+          "dataUri": {
+            "type": "string",
+            "nullable": true
+          },
+          "type": {
+            "type": "string",
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "BatchExportComponentSpecResponse": {
+        "type": "object",
+        "properties": {
+          "componentSpecMetaInfos": {
+            "type": "array",
+            "items": {
+              "$ref": "#/components/schemas/ComponentSpecMetaInfo"
+            },
+            "nullable": true
+          },
+          "errors": {
+            "type": "array",
+            "items": {
+              "$ref": "#/components/schemas/ErrorResponse"
+            },
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "BatchExportRawComponentResponse": {
+        "type": "object",
+        "properties": {
+          "rawComponentDtos": {
+            "type": "array",
+            "items": {
+              "$ref": "#/components/schemas/RawComponentDto"
+            },
+            "nullable": true
+          },
+          "errors": {
+            "type": "array",
+            "items": {
+              "$ref": "#/components/schemas/ErrorResponse"
+            },
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "BatchGetComponentHashesRequest": {
+        "type": "object",
+        "properties": {
+          "moduleHashVersion": {
+            "$ref": "#/components/schemas/AetherModuleHashVersion"
+          },
+          "moduleEntities": {
+            "type": "object",
+            "additionalProperties": {
+              "$ref": "#/components/schemas/AetherModuleEntity"
+            },
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "BatchGetComponentRequest": {
+        "type": "object",
+        "properties": {
+          "versionIds": {
+            "type": "array",
+            "items": {
+              "type": "string"
+            },
+            "nullable": true
+          },
+          "nameAndVersions": {
+            "type": "array",
+            "items": {
+              "$ref": "#/components/schemas/ComponentNameMetaInfo"
+            },
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "Binding": {
+        "type": "object",
+        "properties": {
+          "bindingType": {
+            "$ref": "#/components/schemas/BindingType"
+          }
+        },
+        "additionalProperties": false
+      },
+      "BindingType": {
+        "enum": [
+          "Basic"
+        ],
+        "type": "string"
+      },
+      "BuildContextLocationType": {
+        "enum": [
+          "Git",
+          "StorageAccount"
+        ],
+        "type": "string"
+      },
+      "BulkTestDto": {
+        "type": "object",
+        "properties": {
+          "bulkTestId": {
+            "type": "string",
+            "nullable": true
+          },
+          "displayName": {
+            "type": "string",
+            "nullable": true
+          },
+          "description": {
+            "type": "string",
+            "nullable": true
+          },
+          "tags": {
+            "type": "object",
+            "additionalProperties": {
+              "type": "string"
+            },
+            "description": "This is a dictionary",
+            "nullable": true
+          },
+          "runtime": {
+            "type": "string",
+            "nullable": true
+          },
+          "createdBy": {
+            "$ref": "#/components/schemas/SchemaContractsCreatedBy"
+          },
+          "createdOn": {
+            "type": "string",
+            "format": "date-time",
+            "nullable": true
+          },
+          "evaluationCount": {
+            "type": "integer",
+            "format": "int32"
+          },
+          "variantCount": {
+            "type": "integer",
+            "format": "int32"
+          },
+          "flowSubmitRunSettings": {
+            "$ref": "#/components/schemas/FlowSubmitRunSettings"
+          },
+          "inputs": {
+            "type": "object",
+            "additionalProperties": {
+              "$ref": "#/components/schemas/FlowInputDefinition"
+            },
+            "description": "This is a dictionary",
+            "nullable": true
+          },
+          "outputs": {
+            "type": "object",
+            "additionalProperties": {
+              "$ref": "#/components/schemas/FlowOutputDefinition"
+            },
+            "description": "This is a dictionary",
+            "nullable": true
+          },
+          "batch_inputs": {
+            "type": "array",
+            "items": {
+              "type": "object",
+              "additionalProperties": { },
+              "description": "This is a dictionary"
+            },
+            "nullable": true
+          },
+          "batchDataInput": {
+            "$ref": "#/components/schemas/BatchDataInput"
+          }
+        },
+        "additionalProperties": false
+      },
+      "ChatGroupRole": {
+        "type": "object",
+        "properties": {
+          "name": {
+            "type": "string",
+            "nullable": true
+          },
+          "role": {
+            "type": "string",
+            "nullable": true
+          },
+          "stop_signal": {
+            "type": "string",
+            "nullable": true
+          },
+          "path": {
+            "type": "string",
+            "nullable": true
+          },
+          "variant": {
+            "type": "string",
+            "nullable": true
+          },
+          "connections": {
+            "type": "object",
+            "additionalProperties": {
+              "type": "object",
+              "additionalProperties": {
+                "type": "string"
+              },
+              "description": "This is a dictionary"
+            },
+            "description": "This is a dictionary",
+            "nullable": true
+          },
+          "environment_variables": {
+            "type": "object",
+            "additionalProperties": {
+              "type": "string"
+            },
+            "description": "This is a dictionary",
+            "nullable": true
+          },
+          "display_name": {
+            "type": "string",
+            "nullable": true
+          },
+          "description": {
+            "type": "string",
+            "nullable": true
+          },
+          "tags": {
+            "type": "object",
+            "additionalProperties": {
+              "type": "string"
+            },
+            "description": "This is a dictionary",
+            "nullable": true
+          },
+          "properties": {
+            "type": "object",
+            "additionalProperties": {
+              "type": "string"
+            },
+            "description": "This is a dictionary",
+            "nullable": true
+          },
+          "resources": {
+            "$ref": "#/components/schemas/SessionRuntimeResources"
+          },
+          "inputs": {
+            "type": "object",
+            "additionalProperties": {
+              "nullable": true
+            },
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "CloudError": {
+        "type": "object",
+        "properties": {
+          "code": {
+            "type": "string",
+            "nullable": true
+          },
+          "message": {
+            "type": "string",
+            "nullable": true
+          },
+          "target": {
+            "type": "string",
+            "nullable": true
+          },
+          "details": {
+            "type": "array",
+            "items": {
+              "$ref": "#/components/schemas/CloudError"
+            },
+            "nullable": true,
+            "readOnly": true
+          },
+          "additionalInfo": {
+            "type": "array",
+            "items": {
+              "$ref": "#/components/schemas/AdditionalErrorInfo"
+            },
+            "nullable": true,
+            "readOnly": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "CloudPrioritySetting": {
+        "type": "object",
+        "properties": {
+          "scopePriority": {
+            "$ref": "#/components/schemas/PriorityConfiguration"
+          },
+          "AmlComputePriority": {
+            "$ref": "#/components/schemas/PriorityConfiguration"
+          },
+          "ItpPriority": {
+            "$ref": "#/components/schemas/PriorityConfiguration"
+          },
+          "SingularityPriority": {
+            "$ref": "#/components/schemas/PriorityConfiguration"
+          }
+        },
+        "additionalProperties": false
+      },
+      "CloudSettings": {
+        "type": "object",
+        "properties": {
+          "linkedSettings": {
+            "type": "array",
+            "items": {
+              "$ref": "#/components/schemas/ParameterAssignment"
+            },
+            "nullable": true
+          },
+          "priorityConfig": {
+            "$ref": "#/components/schemas/PriorityConfiguration"
+          },
+          "hdiRunConfig": {
+            "$ref": "#/components/schemas/HdiRunConfiguration"
+          },
+          "subGraphConfig": {
+            "$ref": "#/components/schemas/SubGraphConfiguration"
+          },
+          "autoMLComponentConfig": {
+            "$ref": "#/components/schemas/AutoMLComponentConfiguration"
+          },
+          "apCloudConfig": {
+            "$ref": "#/components/schemas/APCloudConfiguration"
+          },
+          "scopeCloudConfig": {
+            "$ref": "#/components/schemas/ScopeCloudConfiguration"
+          },
+          "esCloudConfig": {
+            "$ref": "#/components/schemas/EsCloudConfiguration"
+          },
+          "dataTransferCloudConfig": {
+            "$ref": "#/components/schemas/DataTransferCloudConfiguration"
+          },
+          "amlSparkCloudSetting": {
+            "$ref": "#/components/schemas/AmlSparkCloudSetting"
+          },
+          "dataTransferV2CloudSetting": {
+            "$ref": "#/components/schemas/DataTransferV2CloudSetting"
+          }
+        },
+        "additionalProperties": false
+      },
+      "CollieRunSettings": {
+        "type": "object",
+        "properties": {
+          "amlComputeName": {
+            "type": "string",
+            "nullable": true
+          },
+          "nodeCount": {
+            "type": "integer",
+            "format": "int32",
+            "nullable": true
+          },
+          "managedIdentityClientId": {
+            "type": "string",
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "ColumnTransformer": {
+        "type": "object",
+        "properties": {
+          "fields": {
+            "type": "array",
+            "items": {
+              "type": "string"
+            },
+            "nullable": true
+          },
+          "parameters": {
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "CommandJob": {
+        "type": "object",
+        "properties": {
+          "jobType": {
+            "$ref": "#/components/schemas/JobType"
+          },
+          "codeId": {
+            "type": "string",
+            "nullable": true
+          },
+          "command": {
+            "minLength": 1,
+            "type": "string",
+            "nullable": true
+          },
+          "environmentId": {
+            "type": "string",
+            "nullable": true
+          },
+          "inputDataBindings": {
+            "type": "object",
+            "additionalProperties": {
+              "$ref": "#/components/schemas/InputDataBinding"
+            },
+            "nullable": true
+          },
+          "outputDataBindings": {
+            "type": "object",
+            "additionalProperties": {
+              "$ref": "#/components/schemas/OutputDataBinding"
+            },
+            "nullable": true
+          },
+          "distribution": {
+            "$ref": "#/components/schemas/DistributionConfiguration"
+          },
+          "environmentVariables": {
+            "type": "object",
+            "additionalProperties": {
+              "type": "string",
+              "nullable": true
+            },
+            "nullable": true
+          },
+          "parameters": {
+            "type": "object",
+            "additionalProperties": {
+              "nullable": true
+            },
+            "nullable": true
+          },
+          "autologgerSettings": {
+            "$ref": "#/components/schemas/MfeInternalAutologgerSettings"
+          },
+          "limits": {
+            "$ref": "#/components/schemas/CommandJobLimits"
+          },
+          "provisioningState": {
+            "$ref": "#/components/schemas/JobProvisioningState"
+          },
+          "parentJobName": {
+            "type": "string",
+            "nullable": true
+          },
+          "displayName": {
+            "type": "string",
+            "nullable": true
+          },
+          "experimentName": {
+            "type": "string",
+            "nullable": true
+          },
+          "status": {
+            "$ref": "#/components/schemas/JobStatus"
+          },
+          "interactionEndpoints": {
+            "type": "object",
+            "additionalProperties": {
+              "$ref": "#/components/schemas/JobEndpoint"
+            },
+            "nullable": true
+          },
+          "identity": {
+            "$ref": "#/components/schemas/MfeInternalIdentityConfiguration"
+          },
+          "compute": {
+            "$ref": "#/components/schemas/ComputeConfiguration"
+          },
+          "priority": {
+            "type": "integer",
+            "format": "int32",
+            "nullable": true
+          },
+          "output": {
+            "$ref": "#/components/schemas/JobOutputArtifacts"
+          },
+          "isArchived": {
+            "type": "boolean"
+          },
+          "schedule": {
+            "$ref": "#/components/schemas/ScheduleBase"
+          },
+          "componentId": {
+            "type": "string",
+            "nullable": true
+          },
+          "notificationSetting": {
+            "$ref": "#/components/schemas/NotificationSetting"
+          },
+          "secretsConfiguration": {
+            "type": "object",
+            "additionalProperties": {
+              "$ref": "#/components/schemas/MfeInternalSecretConfiguration"
+            },
+            "nullable": true
+          },
+          "description": {
+            "type": "string",
+            "nullable": true
+          },
+          "tags": {
+            "type": "object",
+            "additionalProperties": {
+              "type": "string"
+            },
+            "description": "This is a dictionary",
+            "nullable": true
+          },
+          "properties": {
+            "type": "object",
+            "additionalProperties": {
+              "type": "string"
+            },
+            "description": "This is a dictionary",
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "CommandJobLimits": {
+        "type": "object",
+        "properties": {
+          "jobLimitsType": {
+            "$ref": "#/components/schemas/JobLimitsType"
+          },
+          "timeout": {
+            "type": "string",
+            "format": "date-span",
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "CommandReturnCodeConfig": {
+        "type": "object",
+        "properties": {
+          "returnCode": {
+            "$ref": "#/components/schemas/SuccessfulCommandReturnCode"
+          },
+          "successfulReturnCodes": {
+            "type": "array",
+            "items": {
+              "type": "integer",
+              "format": "int32"
+            },
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "Communicator": {
+        "enum": [
+          "None",
+          "ParameterServer",
+          "Gloo",
+          "Mpi",
+          "Nccl",
+          "ParallelTask"
+        ],
+        "type": "string"
+      },
+      "ComponentConfiguration": {
+        "type": "object",
+        "properties": {
+          "componentIdentifier": {
+            "type": "string",
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "ComponentInput": {
+        "type": "object",
+        "properties": {
+          "name": {
+            "type": "string",
+            "nullable": true
+          },
+          "optional": {
+            "type": "boolean"
+          },
+          "description": {
+            "type": "string",
+            "nullable": true
+          },
+          "type": {
+            "type": "string",
+            "nullable": true
+          },
+          "default": {
+            "type": "string",
+            "nullable": true
+          },
+          "enum": {
+            "type": "array",
+            "items": {
+              "type": "string"
+            },
+            "nullable": true
+          },
+          "min": {
+            "type": "string",
+            "nullable": true
+          },
+          "max": {
+            "type": "string",
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "ComponentJob": {
+        "type": "object",
+        "properties": {
+          "compute": {
+            "$ref": "#/components/schemas/ComputeConfiguration"
+          },
+          "componentId": {
+            "type": "string",
+            "nullable": true
+          },
+          "inputs": {
+            "type": "object",
+            "additionalProperties": {
+              "$ref": "#/components/schemas/ComponentJobInput"
+            },
+            "description": "This is a dictionary",
+            "nullable": true
+          },
+          "outputs": {
+            "type": "object",
+            "additionalProperties": {
+              "$ref": "#/components/schemas/ComponentJobOutput"
+            },
+            "description": "This is a dictionary",
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "ComponentJobInput": {
+        "type": "object",
+        "properties": {
+          "data": {
+            "$ref": "#/components/schemas/InputData"
+          },
+          "inputBinding": {
+            "type": "string",
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "ComponentJobOutput": {
+        "type": "object",
+        "properties": {
+          "data": {
+            "$ref": "#/components/schemas/MfeInternalOutputData"
+          },
+          "outputBinding": {
+            "type": "string",
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "ComponentNameAndDefaultVersion": {
+        "type": "object",
+        "properties": {
+          "componentName": {
+            "type": "string",
+            "nullable": true
+          },
+          "version": {
+            "type": "string",
+            "nullable": true
+          },
+          "feedName": {
+            "type": "string",
+            "nullable": true
+          },
+          "registryName": {
+            "type": "string",
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "ComponentNameMetaInfo": {
+        "type": "object",
+        "properties": {
+          "feedName": {
+            "type": "string",
+            "nullable": true
+          },
+          "componentName": {
+            "type": "string",
+            "nullable": true
+          },
+          "componentVersion": {
+            "type": "string",
+            "nullable": true
+          },
+          "registryName": {
+            "type": "string",
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "ComponentOutput": {
+        "type": "object",
+        "properties": {
+          "name": {
+            "type": "string",
+            "nullable": true
+          },
+          "description": {
+            "type": "string",
+            "nullable": true
+          },
+          "type": {
+            "type": "string",
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "ComponentPreflightResult": {
+        "type": "object",
+        "properties": {
+          "errorDetails": {
+            "type": "array",
+            "items": {
+              "$ref": "#/components/schemas/RootError"
+            },
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "ComponentRegistrationTypeEnum": {
+        "enum": [
+          "Normal",
+          "AnonymousAmlModule",
+          "AnonymousAmlModuleVersion",
+          "ModuleEntityOnly"
+        ],
+        "type": "string"
+      },
+      "ComponentSpecMetaInfo": {
+        "type": "object",
+        "properties": {
+          "componentSpec": {
+            "nullable": true
+          },
+          "componentVersion": {
+            "type": "string",
+            "nullable": true
+          },
+          "isAnonymous": {
+            "type": "boolean"
+          },
+          "properties": {
+            "type": "object",
+            "additionalProperties": {
+              "type": "string"
+            },
+            "description": "This is a dictionary",
+            "nullable": true
+          },
+          "tags": {
+            "type": "object",
+            "additionalProperties": {
+              "type": "string"
+            },
+            "description": "This is a dictionary",
+            "nullable": true
+          },
+          "componentName": {
+            "type": "string",
+            "nullable": true
+          },
+          "description": {
+            "type": "string",
+            "nullable": true
+          },
+          "isArchived": {
+            "type": "boolean"
+          }
+        },
+        "additionalProperties": false
+      },
+      "ComponentType": {
+        "enum": [
+          "Unknown",
+          "CommandComponent",
+          "Command"
+        ],
+        "type": "string"
+      },
+      "ComponentUpdateRequest": {
+        "type": "object",
+        "properties": {
+          "originalModuleEntity": {
+            "$ref": "#/components/schemas/ModuleEntity"
+          },
+          "updateModuleEntity": {
+            "$ref": "#/components/schemas/ModuleEntity"
+          },
+          "moduleName": {
+            "type": "string",
+            "nullable": true
+          },
+          "properties": {
+            "type": "object",
+            "additionalProperties": {
+              "type": "string"
+            },
+            "description": "This is a dictionary",
+            "nullable": true
+          },
+          "overwriteWithOriginalNameAndVersion": {
+            "type": "boolean",
+            "nullable": true
+          },
+          "snapshotId": {
+            "type": "string",
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "ComponentValidationRequest": {
+        "type": "object",
+        "properties": {
+          "componentIdentifier": {
+            "type": "string",
+            "nullable": true
+          },
+          "computeIdentity": {
+            "$ref": "#/components/schemas/ComputeIdentityDto"
+          },
+          "executionContextDto": {
+            "$ref": "#/components/schemas/ExecutionContextDto"
+          },
+          "environmentDefinition": {
+            "$ref": "#/components/schemas/EnvironmentDefinitionDto"
+          },
+          "dataPortDtos": {
+            "type": "array",
+            "items": {
+              "$ref": "#/components/schemas/DataPortDto"
+            },
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "ComponentValidationResponse": {
+        "type": "object",
+        "properties": {
+          "status": {
+            "$ref": "#/components/schemas/ValidationStatus"
+          },
+          "error": {
+            "$ref": "#/components/schemas/ErrorResponse"
+          }
+        },
+        "additionalProperties": false
+      },
+      "Compute": {
+        "type": "object",
+        "properties": {
+          "target": {
+            "type": "string",
+            "nullable": true
+          },
+          "targetType": {
+            "type": "string",
+            "nullable": true
+          },
+          "vmSize": {
+            "type": "string",
+            "nullable": true
+          },
+          "instanceType": {
+            "type": "string",
+            "nullable": true
+          },
+          "instanceCount": {
+            "type": "integer",
+            "format": "int32",
+            "nullable": true
+          },
+          "gpuCount": {
+            "type": "integer",
+            "format": "int32",
+            "nullable": true
+          },
+          "priority": {
+            "type": "string",
+            "nullable": true
+          },
+          "region": {
+            "type": "string",
+            "nullable": true
+          },
+          "armId": {
+            "type": "string",
+            "nullable": true
+          },
+          "properties": {
+            "type": "object",
+            "additionalProperties": {
+              "type": "string"
+            },
+            "description": "This is a dictionary",
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "ComputeConfiguration": {
+        "type": "object",
+        "properties": {
+          "target": {
+            "type": "string",
+            "nullable": true
+          },
+          "instanceCount": {
+            "type": "integer",
+            "format": "int32",
+            "nullable": true
+          },
+          "maxInstanceCount": {
+            "type": "integer",
+            "format": "int32",
+            "nullable": true
+          },
+          "isLocal": {
+            "type": "boolean"
+          },
+          "location": {
+            "type": "string",
+            "nullable": true
+          },
+          "isClusterless": {
+            "type": "boolean"
+          },
+          "instanceType": {
+            "type": "string",
+            "nullable": true
+          },
+          "instancePriority": {
+            "type": "string",
+            "nullable": true
+          },
+          "jobPriority": {
+            "type": "integer",
+            "format": "int32",
+            "nullable": true
+          },
+          "shmSize": {
+            "type": "string",
+            "nullable": true
+          },
+          "dockerArgs": {
+            "type": "string",
+            "nullable": true
+          },
+          "locations": {
+            "type": "array",
+            "items": {
+              "type": "string"
+            },
+            "nullable": true
+          },
+          "properties": {
+            "type": "object",
+            "additionalProperties": {
+              "nullable": true
+            },
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "ComputeContract": {
+        "type": "object",
+        "properties": {
+          "id": {
+            "type": "string",
+            "nullable": true
+          },
+          "name": {
+            "type": "string",
+            "nullable": true
+          },
+          "type": {
+            "type": "string",
+            "nullable": true,
+            "readOnly": true
+          },
+          "location": {
+            "type": "string",
+            "nullable": true
+          },
+          "tags": {
+            "type": "object",
+            "additionalProperties": {
+              "type": "string"
+            },
+            "description": "This is a dictionary",
+            "nullable": true
+          },
+          "identity": {
+            "$ref": "#/components/schemas/ComputeIdentityContract"
+          },
+          "properties": {
+            "$ref": "#/components/schemas/ComputeProperties"
+          }
+        },
+        "additionalProperties": false
+      },
+      "ComputeDetails": {
+        "type": "object"
+      },
+      "ComputeEnvironmentType": {
+        "enum": [
+          "ACI",
+          "AKS",
+          "AMLCOMPUTE",
+          "IOT",
+          "AKSENDPOINT",
+          "MIRSINGLEMODEL",
+          "MIRAMLCOMPUTE",
+          "MIRGA",
+          "AMLARC",
+          "BATCHAMLCOMPUTE",
+          "UNKNOWN"
+        ],
+        "type": "string"
+      },
+      "ComputeIdentityContract": {
+        "type": "object",
+        "properties": {
+          "type": {
+            "type": "string",
+            "nullable": true
+          },
+          "systemIdentityUrl": {
+            "type": "string",
+            "nullable": true
+          },
+          "principalId": {
+            "type": "string",
+            "nullable": true
+          },
+          "tenantId": {
+            "type": "string",
+            "nullable": true
+          },
+          "clientId": {
+            "type": "string",
+            "nullable": true
+          },
+          "clientSecretUrl": {
+            "type": "string",
+            "nullable": true
+          },
+          "userAssignedIdentities": {
+            "type": "object",
+            "additionalProperties": {
+              "$ref": "#/components/schemas/ComputeRPUserAssignedIdentity"
+            },
+            "description": "This is a dictionary",
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "ComputeIdentityDto": {
+        "type": "object",
+        "properties": {
+          "computeName": {
+            "type": "string",
+            "nullable": true
+          },
+          "computeTargetType": {
+            "$ref": "#/components/schemas/ComputeTargetType"
+          },
+          "intellectualPropertyPublisher": {
+            "type": "string",
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "ComputeInfo": {
+        "type": "object",
+        "properties": {
+          "name": {
+            "type": "string",
+            "nullable": true
+          },
+          "computeType": {
+            "$ref": "#/components/schemas/ComputeEnvironmentType"
+          },
+          "isSslEnabled": {
+            "type": "boolean"
+          },
+          "isGpuType": {
+            "type": "boolean"
+          },
+          "clusterPurpose": {
+            "type": "string",
+            "nullable": true
+          },
+          "publicIpAddress": {
+            "type": "string",
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "ComputeProperties": {
+        "required": [
+          "computeType"
+        ],
+        "type": "object",
+        "properties": {
+          "createdOn": {
+            "type": "string",
+            "format": "date-time"
+          },
+          "modifiedOn": {
+            "type": "string",
+            "format": "date-time"
+          },
+          "disableLocalAuth": {
+            "type": "boolean"
+          },
+          "description": {
+            "type": "string",
+            "nullable": true
+          },
+          "resourceId": {
+            "type": "string",
+            "nullable": true
+          },
+          "computeType": {
+            "minLength": 1,
+            "type": "string"
+          },
+          "computeLocation": {
+            "type": "string",
+            "nullable": true
+          },
+          "provisioningState": {
+            "$ref": "#/components/schemas/ProvisioningState"
+          },
+          "provisioningErrors": {
+            "type": "array",
+            "items": {
+              "$ref": "#/components/schemas/ODataErrorResponse"
+            },
+            "nullable": true
+          },
+          "provisioningWarnings": {
+            "type": "object",
+            "additionalProperties": {
+              "type": "string"
+            },
+            "description": "This is a dictionary",
+            "nullable": true
+          },
+          "isAttachedCompute": {
+            "type": "boolean"
+          },
+          "properties": {
+            "$ref": "#/components/schemas/ComputeDetails"
+          },
+          "status": {
+            "$ref": "#/components/schemas/ComputeStatus"
+          },
+          "warnings": {
+            "type": "array",
+            "items": {
+              "$ref": "#/components/schemas/ComputeWarning"
+            },
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "ComputeRPUserAssignedIdentity": {
+        "type": "object",
+        "properties": {
+          "principalId": {
+            "type": "string",
+            "nullable": true
+          },
+          "tenantId": {
+            "type": "string",
+            "nullable": true
+          },
+          "clientId": {
+            "type": "string",
+            "nullable": true
+          },
+          "clientSecretUrl": {
+            "type": "string",
+            "nullable": true
+          },
+          "resourceId": {
+            "type": "string",
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "ComputeRequest": {
+        "type": "object",
+        "properties": {
+          "nodeCount": {
+            "type": "integer",
+            "format": "int32",
+            "nullable": true
+          },
+          "gpuCount": {
+            "type": "integer",
+            "format": "int32",
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "ComputeSetting": {
+        "type": "object",
+        "properties": {
+          "name": {
+            "type": "string",
+            "nullable": true
+          },
+          "computeType": {
+            "$ref": "#/components/schemas/ComputeType"
+          },
+          "batchAiComputeInfo": {
+            "$ref": "#/components/schemas/BatchAiComputeInfo"
+          },
+          "remoteDockerComputeInfo": {
+            "$ref": "#/components/schemas/RemoteDockerComputeInfo"
+          },
+          "hdiClusterComputeInfo": {
+            "$ref": "#/components/schemas/HdiClusterComputeInfo"
+          },
+          "mlcComputeInfo": {
+            "$ref": "#/components/schemas/MlcComputeInfo"
+          },
+          "databricksComputeInfo": {
+            "$ref": "#/components/schemas/DatabricksComputeInfo"
+          }
+        },
+        "additionalProperties": false
+      },
+      "ComputeStatus": {
+        "type": "object",
+        "properties": {
+          "isStatusAvailable": {
+            "type": "boolean",
+            "readOnly": true
+          },
+          "detailedStatus": {
+            "nullable": true
+          },
+          "error": {
+            "$ref": "#/components/schemas/ODataError"
+          }
+        },
+        "additionalProperties": false
+      },
+      "ComputeStatusDetail": {
+        "type": "object",
+        "properties": {
+          "provisioningState": {
+            "type": "string",
+            "nullable": true
+          },
+          "provisioningErrorMessage": {
+            "type": "string",
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "ComputeTargetType": {
+        "enum": [
+          "Local",
+          "Remote",
+          "HdiCluster",
+          "ContainerInstance",
+          "AmlCompute",
+          "ComputeInstance",
+          "Cmk8s",
+          "SynapseSpark",
+          "Kubernetes",
+          "Aisc",
+          "GlobalJobDispatcher",
+          "Databricks",
+          "MockedCompute"
+        ],
+        "type": "string"
+      },
+      "ComputeType": {
+        "enum": [
+          "BatchAi",
+          "MLC",
+          "HdiCluster",
+          "RemoteDocker",
+          "Databricks",
+          "Aisc"
+        ],
+        "type": "string"
+      },
+      "ComputeWarning": {
+        "type": "object",
+        "properties": {
+          "title": {
+            "type": "string",
+            "nullable": true
+          },
+          "message": {
+            "type": "string",
+            "nullable": true
+          },
+          "code": {
+            "type": "string",
+            "nullable": true
+          },
+          "severity": {
+            "$ref": "#/components/schemas/SeverityLevel"
+          }
+        },
+        "additionalProperties": false
+      },
+      "ConfigValueType": {
+        "enum": [
+          "String",
+          "Secret"
+        ],
+        "type": "string"
+      },
+      "ConnectionAuthMode": {
+        "enum": [
+          "Key",
+          "MeidToken"
+        ],
+        "type": "string"
+      },
+      "ConnectionCategory": {
+        "enum": [
+          "PythonFeed",
+          "ACR",
+          "Git",
+          "S3",
+          "Snowflake",
+          "AzureSqlDb",
+          "AzureSynapseAnalytics",
+          "AzureMySqlDb",
+          "AzurePostgresDb",
+          "AzureDataLakeGen2",
+          "Redis",
+          "ApiKey",
+          "AzureOpenAI",
+          "CognitiveSearch",
+          "CognitiveService",
+          "CustomKeys",
+          "AzureBlob",
+          "AzureOneLake",
+          "CosmosDb",
+          "CosmosDbMongoDbApi",
+          "AzureDataExplorer",
+          "AzureMariaDb",
+          "AzureDatabricksDeltaLake",
+          "AzureSqlMi",
+          "AzureTableStorage",
+          "AmazonRdsForOracle",
+          "AmazonRdsForSqlServer",
+          "AmazonRedshift",
+          "Db2",
+          "Drill",
+          "GoogleBigQuery",
+          "Greenplum",
+          "Hbase",
+          "Hive",
+          "Impala",
+          "Informix",
+          "MariaDb",
+          "MicrosoftAccess",
+          "MySql",
+          "Netezza",
+          "Oracle",
+          "Phoenix",
+          "PostgreSql",
+          "Presto",
+          "SapOpenHub",
+          "SapBw",
+          "SapHana",
+          "SapTable",
+          "Spark",
+          "SqlServer",
+          "Sybase",
+          "Teradata",
+          "Vertica",
+          "Cassandra",
+          "Couchbase",
+          "MongoDbV2",
+          "MongoDbAtlas",
+          "AmazonS3Compatible",
+          "FileServer",
+          "FtpServer",
+          "GoogleCloudStorage",
+          "Hdfs",
+          "OracleCloudStorage",
+          "Sftp",
+          "GenericHttp",
+          "ODataRest",
+          "Odbc",
+          "GenericRest",
+          "AmazonMws",
+          "Concur",
+          "Dynamics",
+          "DynamicsAx",
+          "DynamicsCrm",
+          "GoogleAdWords",
+          "Hubspot",
+          "Jira",
+          "Magento",
+          "Marketo",
+          "Office365",
+          "Eloqua",
+          "Responsys",
+          "OracleServiceCloud",
+          "PayPal",
+          "QuickBooks",
+          "Salesforce",
+          "SalesforceServiceCloud",
+          "SalesforceMarketingCloud",
+          "SapCloudForCustomer",
+          "SapEcc",
+          "ServiceNow",
+          "SharePointOnlineList",
+          "Shopify",
+          "Square",
+          "WebTable",
+          "Xero",
+          "Zoho",
+          "GenericContainerRegistry",
+          "OpenAI",
+          "Serp",
+          "BingLLMSearch",
+          "Serverless"
+        ],
+        "type": "string"
+      },
+      "ConnectionConfigSpec": {
+        "type": "object",
+        "properties": {
+          "name": {
+            "type": "string",
+            "nullable": true
+          },
+          "displayName": {
+            "type": "string",
+            "nullable": true
+          },
+          "configValueType": {
+            "$ref": "#/components/schemas/ConfigValueType"
+          },
+          "description": {
+            "type": "string",
+            "nullable": true
+          },
+          "defaultValue": {
+            "type": "string",
+            "nullable": true
+          },
+          "enumValues": {
+            "type": "array",
+            "items": {
+              "type": "string"
+            },
+            "nullable": true
+          },
+          "isOptional": {
+            "type": "boolean"
+          },
+          "supportedAuthModes": {
+            "type": "array",
+            "items": {
+              "$ref": "#/components/schemas/ConnectionAuthMode"
+            },
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "ConnectionDto": {
+        "type": "object",
+        "properties": {
+          "connectionName": {
+            "type": "string",
+            "nullable": true
+          },
+          "connectionType": {
+            "$ref": "#/components/schemas/ConnectionType"
+          },
+          "configs": {
+            "type": "object",
+            "additionalProperties": {
+              "type": "string"
+            },
+            "description": "This is a dictionary",
+            "nullable": true
+          },
+          "customConfigs": {
+            "type": "object",
+            "additionalProperties": {
+              "$ref": "#/components/schemas/CustomConnectionConfig"
+            },
+            "description": "This is a dictionary",
+            "nullable": true
+          },
+          "expiryTime": {
+            "type": "string",
+            "format": "date-time",
+            "nullable": true
+          },
+          "owner": {
+            "$ref": "#/components/schemas/SchemaContractsCreatedBy"
+          },
+          "createdDate": {
+            "type": "string",
+            "format": "date-time",
+            "nullable": true
+          },
+          "lastModifiedDate": {
+            "type": "string",
+            "format": "date-time",
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "ConnectionEntity": {
+        "type": "object",
+        "properties": {
+          "connectionId": {
+            "type": "string",
+            "nullable": true
+          },
+          "connectionName": {
+            "type": "string",
+            "nullable": true
+          },
+          "connectionType": {
+            "$ref": "#/components/schemas/ConnectionType"
+          },
+          "connectionScope": {
+            "$ref": "#/components/schemas/ConnectionScope"
+          },
+          "configs": {
+            "type": "object",
+            "additionalProperties": {
+              "type": "string"
+            },
+            "description": "This is a dictionary",
+            "nullable": true
+          },
+          "customConfigs": {
+            "type": "object",
+            "additionalProperties": {
+              "$ref": "#/components/schemas/CustomConnectionConfig"
+            },
+            "description": "This is a dictionary",
+            "nullable": true
+          },
+          "expiryTime": {
+            "type": "string",
+            "format": "date-time",
+            "nullable": true
+          },
+          "secretName": {
+            "type": "string",
+            "nullable": true
+          },
+          "owner": {
+            "$ref": "#/components/schemas/SchemaContractsCreatedBy"
+          },
+          "createdDate": {
+            "type": "string",
+            "format": "date-time"
+          },
+          "lastModifiedDate": {
+            "type": "string",
+            "format": "date-time"
+          }
+        },
+        "additionalProperties": false
+      },
+      "ConnectionOverrideSetting": {
+        "type": "object",
+        "properties": {
+          "connectionSourceType": {
+            "$ref": "#/components/schemas/ConnectionSourceType"
+          },
+          "nodeName": {
+            "type": "string",
+            "nullable": true
+          },
+          "nodeInputName": {
+            "type": "string",
+            "nullable": true
+          },
+          "nodeDeploymentNameInput": {
+            "type": "string",
+            "nullable": true
+          },
+          "nodeModelInput": {
+            "type": "string",
+            "nullable": true
+          },
+          "connectionName": {
+            "type": "string",
+            "nullable": true
+          },
+          "deploymentName": {
+            "type": "string",
+            "nullable": true
+          },
+          "model": {
+            "type": "string",
+            "nullable": true
+          },
+          "connectionTypes": {
+            "type": "array",
+            "items": {
+              "$ref": "#/components/schemas/ConnectionType"
+            },
+            "nullable": true
+          },
+          "capabilities": {
+            "$ref": "#/components/schemas/AzureOpenAIModelCapabilities"
+          },
+          "modelEnum": {
+            "type": "array",
+            "items": {
+              "type": "string"
+            },
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "ConnectionScope": {
+        "enum": [
+          "User",
+          "WorkspaceShared"
+        ],
+        "type": "string"
+      },
+      "ConnectionSourceType": {
+        "enum": [
+          "Node",
+          "NodeInput"
+        ],
+        "type": "string"
+      },
+      "ConnectionSpec": {
+        "type": "object",
+        "properties": {
+          "connectionType": {
+            "$ref": "#/components/schemas/ConnectionType"
+          },
+          "configSpecs": {
+            "type": "array",
+            "items": {
+              "$ref": "#/components/schemas/ConnectionConfigSpec"
+            },
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "ConnectionType": {
+        "enum": [
+          "OpenAI",
+          "AzureOpenAI",
+          "Serp",
+          "Bing",
+          "AzureContentModerator",
+          "Custom",
+          "AzureContentSafety",
+          "CognitiveSearch",
+          "SubstrateLLM",
+          "Pinecone",
+          "Qdrant",
+          "Weaviate",
+          "FormRecognizer",
+          "Serverless"
+        ],
+        "type": "string"
+      },
+      "ConsumeMode": {
+        "enum": [
+          "Reference",
+          "Copy",
+          "CopyAndAutoUpgrade"
+        ],
+        "type": "string"
+      },
+      "ContainerInstanceConfiguration": {
+        "type": "object",
+        "properties": {
+          "region": {
+            "type": "string",
+            "nullable": true
+          },
+          "cpuCores": {
+            "type": "number",
+            "format": "double"
+          },
+          "memoryGb": {
+            "type": "number",
+            "format": "double"
+          }
+        },
+        "additionalProperties": false
+      },
+      "ContainerRegistry": {
+        "type": "object",
+        "properties": {
+          "address": {
+            "type": "string",
+            "nullable": true
+          },
+          "username": {
+            "type": "string",
+            "nullable": true
+          },
+          "password": {
+            "type": "string",
+            "nullable": true
+          },
+          "credentialType": {
+            "type": "string",
+            "nullable": true
+          },
+          "registryIdentity": {
+            "$ref": "#/components/schemas/RegistryIdentity"
+          }
+        },
+        "additionalProperties": false
+      },
+      "ContainerResourceRequirements": {
+        "type": "object",
+        "properties": {
+          "cpu": {
+            "type": "number",
+            "format": "double",
+            "nullable": true
+          },
+          "cpuLimit": {
+            "type": "number",
+            "format": "double",
+            "nullable": true
+          },
+          "memoryInGB": {
+            "type": "number",
+            "format": "double",
+            "nullable": true
+          },
+          "memoryInGBLimit": {
+            "type": "number",
+            "format": "double",
+            "nullable": true
+          },
+          "gpuEnabled": {
+            "type": "boolean",
+            "nullable": true
+          },
+          "gpu": {
+            "type": "integer",
+            "format": "int32",
+            "nullable": true
+          },
+          "fpga": {
+            "type": "integer",
+            "format": "int32",
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "ControlFlowType": {
+        "enum": [
+          "None",
+          "DoWhile",
+          "ParallelFor"
+        ],
+        "type": "string"
+      },
+      "ControlInput": {
+        "type": "object",
+        "properties": {
+          "name": {
+            "type": "string",
+            "nullable": true
+          },
+          "defaultValue": {
+            "$ref": "#/components/schemas/ControlInputValue"
+          }
+        },
+        "additionalProperties": false
+      },
+      "ControlInputValue": {
+        "enum": [
+          "None",
+          "False",
+          "True",
+          "Skipped"
+        ],
+        "type": "string"
+      },
+      "ControlOutput": {
+        "type": "object",
+        "properties": {
+          "name": {
+            "type": "string",
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "ControlType": {
+        "enum": [
+          "IfElse"
+        ],
+        "type": "string"
+      },
+      "CopyDataTask": {
+        "type": "object",
+        "properties": {
+          "DataCopyMode": {
+            "$ref": "#/components/schemas/DataCopyMode"
+          }
+        },
+        "additionalProperties": false
+      },
+      "CreateExperimentTemplateRequest": {
+        "type": "object",
+        "properties": {
+          "experimentDefinitionSource": {
+            "$ref": "#/components/schemas/ExperimentDefinitionSource"
+          }
+        },
+        "additionalProperties": false
+      },
+      "CreateFlowRequest": {
+        "type": "object",
+        "properties": {
+          "flowName": {
+            "type": "string",
+            "nullable": true
+          },
+          "description": {
+            "type": "string",
+            "nullable": true
+          },
+          "details": {
+            "type": "string",
+            "nullable": true
+          },
+          "tags": {
+            "type": "object",
+            "additionalProperties": {
+              "type": "string",
+              "nullable": true
+            },
+            "nullable": true
+          },
+          "flow": {
+            "$ref": "#/components/schemas/Flow"
+          },
+          "flowDefinitionFilePath": {
+            "type": "string",
+            "nullable": true
+          },
+          "flowType": {
+            "$ref": "#/components/schemas/FlowType"
+          },
+          "flowRunSettings": {
+            "$ref": "#/components/schemas/FlowRunSettings"
+          },
+          "isArchived": {
+            "type": "boolean"
+          },
+          "vmSize": {
+            "type": "string",
+            "nullable": true
+          },
+          "maxIdleTimeSeconds": {
+            "type": "integer",
+            "format": "int64",
+            "nullable": true
+          },
+          "identity": {
+            "type": "string",
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "CreateFlowRuntimeRequest": {
+        "type": "object",
+        "properties": {
+          "runtimeType": {
+            "$ref": "#/components/schemas/RuntimeType"
+          },
+          "identity": {
+            "$ref": "#/components/schemas/ManagedServiceIdentity"
+          },
+          "instanceType": {
+            "type": "string",
+            "nullable": true
+          },
+          "fromExistingEndpoint": {
+            "type": "boolean"
+          },
+          "fromExistingDeployment": {
+            "type": "boolean"
+          },
+          "endpointName": {
+            "type": "string",
+            "nullable": true
+          },
+          "deploymentName": {
+            "type": "string",
+            "nullable": true
+          },
+          "computeInstanceName": {
+            "type": "string",
+            "nullable": true
+          },
+          "fromExistingCustomApp": {
+            "type": "boolean"
+          },
+          "customAppName": {
+            "type": "string",
+            "nullable": true
+          },
+          "runtimeDescription": {
+            "type": "string",
+            "nullable": true
+          },
+          "environment": {
+            "type": "string",
+            "nullable": true
+          },
+          "instanceCount": {
+            "type": "integer",
+            "format": "int32"
+          }
+        },
+        "additionalProperties": false
+      },
+      "CreateFlowSessionRequest": {
+        "type": "object",
+        "properties": {
+          "pythonPipRequirements": {
+            "type": "array",
+            "items": {
+              "type": "string"
+            },
+            "nullable": true
+          },
+          "baseImage": {
+            "type": "string",
+            "nullable": true
+          },
+          "action": {
+            "$ref": "#/components/schemas/SetupFlowSessionAction"
+          },
+          "vmSize": {
+            "type": "string",
+            "nullable": true
+          },
+          "maxIdleTimeSeconds": {
+            "type": "integer",
+            "format": "int64",
+            "nullable": true
+          },
+          "identity": {
+            "type": "string",
+            "nullable": true
+          },
+          "computeName": {
+            "type": "string",
+            "nullable": true
+          },
+          "enableMultiContainer": {
+            "type": "boolean"
+          }
+        },
+        "additionalProperties": false
+      },
+      "CreateInferencePipelineRequest": {
+        "type": "object",
+        "properties": {
+          "moduleNodeId": {
+            "type": "string",
+            "nullable": true
+          },
+          "portName": {
+            "type": "string",
+            "nullable": true
+          },
+          "trainingPipelineDraftName": {
+            "type": "string",
+            "nullable": true
+          },
+          "trainingPipelineRunDisplayName": {
+            "type": "string",
+            "nullable": true
+          },
+          "name": {
+            "type": "string",
+            "nullable": true
+          },
+          "pipelineType": {
+            "$ref": "#/components/schemas/PipelineType"
+          },
+          "pipelineDraftMode": {
+            "$ref": "#/components/schemas/PipelineDraftMode"
+          },
+          "graphComponentsMode": {
+            "$ref": "#/components/schemas/GraphComponentsMode"
+          },
+          "subPipelinesInfo": {
+            "$ref": "#/components/schemas/SubPipelinesInfo"
+          },
+          "flattenedSubGraphs": {
+            "type": "object",
+            "additionalProperties": {
+              "$ref": "#/components/schemas/PipelineSubDraft"
+            },
+            "nullable": true
+          },
+          "pipelineParameters": {
+            "type": "object",
+            "additionalProperties": {
+              "type": "string"
+            },
+            "description": "This is a dictionary",
+            "nullable": true
+          },
+          "dataPathAssignments": {
+            "type": "object",
+            "additionalProperties": {
+              "$ref": "#/components/schemas/LegacyDataPath"
+            },
+            "description": "This is a dictionary",
+            "nullable": true
+          },
+          "dataSetDefinitionValueAssignments": {
+            "type": "object",
+            "additionalProperties": {
+              "$ref": "#/components/schemas/DataSetDefinitionValue"
+            },
+            "description": "This is a dictionary",
+            "nullable": true
+          },
+          "assetOutputSettingsAssignments": {
+            "type": "object",
+            "additionalProperties": {
+              "$ref": "#/components/schemas/AssetOutputSettings"
+            },
+            "description": "This is a dictionary",
+            "nullable": true
+          },
+          "graph": {
+            "$ref": "#/components/schemas/GraphDraftEntity"
+          },
+          "pipelineRunSettings": {
+            "type": "array",
+            "items": {
+              "$ref": "#/components/schemas/RunSettingParameterAssignment"
+            },
+            "nullable": true
+          },
+          "moduleNodeRunSettings": {
+            "type": "array",
+            "items": {
+              "$ref": "#/components/schemas/GraphModuleNodeRunSetting"
+            },
+            "nullable": true
+          },
+          "moduleNodeUIInputSettings": {
+            "type": "array",
+            "items": {
+              "$ref": "#/components/schemas/GraphModuleNodeUIInputSetting"
+            },
+            "nullable": true
+          },
+          "tags": {
+            "type": "object",
+            "additionalProperties": {
+              "type": "string"
+            },
+            "description": "This is a dictionary",
+            "nullable": true
+          },
+          "continueRunOnStepFailure": {
+            "type": "boolean",
+            "nullable": true
+          },
+          "description": {
+            "type": "string",
+            "nullable": true
+          },
+          "properties": {
+            "type": "object",
+            "additionalProperties": {
+              "type": "string"
+            },
+            "description": "This is a dictionary",
+            "nullable": true
+          },
+          "enforceRerun": {
+            "type": "boolean",
+            "nullable": true
+          },
+          "datasetAccessModes": {
+            "$ref": "#/components/schemas/DatasetAccessModes"
+          }
+        },
+        "additionalProperties": false
+      },
+      "CreateOrUpdateConnectionRequest": {
+        "type": "object",
+        "properties": {
+          "connectionType": {
+            "$ref": "#/components/schemas/ConnectionType"
+          },
+          "connectionScope": {
+            "$ref": "#/components/schemas/ConnectionScope"
+          },
+          "configs": {
+            "type": "object",
+            "additionalProperties": {
+              "type": "string"
+            },
+            "description": "This is a dictionary",
+            "nullable": true
+          },
+          "customConfigs": {
+            "type": "object",
+            "additionalProperties": {
+              "$ref": "#/components/schemas/CustomConnectionConfig"
+            },
+            "description": "This is a dictionary",
+            "nullable": true
+          },
+          "expiryTime": {
+            "type": "string",
+            "format": "date-time",
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "CreateOrUpdateConnectionRequestDto": {
+        "type": "object",
+        "properties": {
+          "connectionType": {
+            "$ref": "#/components/schemas/ConnectionType"
+          },
+          "configs": {
+            "type": "object",
+            "additionalProperties": {
+              "type": "string"
+            },
+            "description": "This is a dictionary",
+            "nullable": true
+          },
+          "customConfigs": {
+            "type": "object",
+            "additionalProperties": {
+              "$ref": "#/components/schemas/CustomConnectionConfig"
+            },
+            "description": "This is a dictionary",
+            "nullable": true
+          },
+          "expiryTime": {
+            "type": "string",
+            "format": "date-time",
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "CreatePipelineDraftRequest": {
+        "type": "object",
+        "properties": {
+          "name": {
+            "type": "string",
+            "nullable": true
+          },
+          "pipelineType": {
+            "$ref": "#/components/schemas/PipelineType"
+          },
+          "pipelineDraftMode": {
+            "$ref": "#/components/schemas/PipelineDraftMode"
+          },
+          "graphComponentsMode": {
+            "$ref": "#/components/schemas/GraphComponentsMode"
+          },
+          "subPipelinesInfo": {
+            "$ref": "#/components/schemas/SubPipelinesInfo"
+          },
+          "flattenedSubGraphs": {
+            "type": "object",
+            "additionalProperties": {
+              "$ref": "#/components/schemas/PipelineSubDraft"
+            },
+            "nullable": true
+          },
+          "pipelineParameters": {
+            "type": "object",
+            "additionalProperties": {
+              "type": "string"
+            },
+            "description": "This is a dictionary",
+            "nullable": true
+          },
+          "dataPathAssignments": {
+            "type": "object",
+            "additionalProperties": {
+              "$ref": "#/components/schemas/LegacyDataPath"
+            },
+            "description": "This is a dictionary",
+            "nullable": true
+          },
+          "dataSetDefinitionValueAssignments": {
+            "type": "object",
+            "additionalProperties": {
+              "$ref": "#/components/schemas/DataSetDefinitionValue"
+            },
+            "description": "This is a dictionary",
+            "nullable": true
+          },
+          "assetOutputSettingsAssignments": {
+            "type": "object",
+            "additionalProperties": {
+              "$ref": "#/components/schemas/AssetOutputSettings"
+            },
+            "description": "This is a dictionary",
+            "nullable": true
+          },
+          "graph": {
+            "$ref": "#/components/schemas/GraphDraftEntity"
+          },
+          "pipelineRunSettings": {
+            "type": "array",
+            "items": {
+              "$ref": "#/components/schemas/RunSettingParameterAssignment"
+            },
+            "nullable": true
+          },
+          "moduleNodeRunSettings": {
+            "type": "array",
+            "items": {
+              "$ref": "#/components/schemas/GraphModuleNodeRunSetting"
+            },
+            "nullable": true
+          },
+          "moduleNodeUIInputSettings": {
+            "type": "array",
+            "items": {
+              "$ref": "#/components/schemas/GraphModuleNodeUIInputSetting"
+            },
+            "nullable": true
+          },
+          "tags": {
+            "type": "object",
+            "additionalProperties": {
+              "type": "string"
+            },
+            "description": "This is a dictionary",
+            "nullable": true
+          },
+          "continueRunOnStepFailure": {
+            "type": "boolean",
+            "nullable": true
+          },
+          "description": {
+            "type": "string",
+            "nullable": true
+          },
+          "properties": {
+            "type": "object",
+            "additionalProperties": {
+              "type": "string"
+            },
+            "description": "This is a dictionary",
+            "nullable": true
+          },
+          "enforceRerun": {
+            "type": "boolean",
+            "nullable": true
+          },
+          "datasetAccessModes": {
+            "$ref": "#/components/schemas/DatasetAccessModes"
+          }
+        },
+        "additionalProperties": false
+      },
+      "CreatePipelineJobScheduleDto": {
+        "type": "object",
+        "properties": {
+          "name": {
+            "type": "string",
+            "nullable": true
+          },
+          "pipelineJobName": {
+            "type": "string",
+            "nullable": true
+          },
+          "pipelineJobRuntimeSettings": {
+            "$ref": "#/components/schemas/PipelineJobRuntimeBasicSettings"
+          },
+          "displayName": {
+            "type": "string",
+            "nullable": true
+          },
+          "triggerType": {
+            "$ref": "#/components/schemas/TriggerType"
+          },
+          "recurrence": {
+            "$ref": "#/components/schemas/Recurrence"
+          },
+          "cron": {
+            "$ref": "#/components/schemas/Cron"
+          },
+          "status": {
+            "$ref": "#/components/schemas/ScheduleStatus"
+          },
+          "description": {
+            "type": "string",
+            "nullable": true
+          },
+          "tags": {
+            "type": "object",
+            "additionalProperties": {
+              "type": "string"
+            },
+            "description": "This is a dictionary",
+            "nullable": true
+          },
+          "properties": {
+            "type": "object",
+            "additionalProperties": {
+              "type": "string"
+            },
+            "description": "This is a dictionary",
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "CreatePublishedPipelineRequest": {
+        "type": "object",
+        "properties": {
+          "usePipelineEndpoint": {
+            "type": "boolean"
+          },
+          "pipelineName": {
+            "type": "string",
+            "nullable": true
+          },
+          "pipelineDescription": {
+            "type": "string",
+            "nullable": true
+          },
+          "useExistingPipelineEndpoint": {
+            "type": "boolean"
+          },
+          "pipelineEndpointName": {
+            "type": "string",
+            "nullable": true
+          },
+          "pipelineEndpointDescription": {
+            "type": "string",
+            "nullable": true
+          },
+          "setAsDefaultPipelineForEndpoint": {
+            "type": "boolean"
+          },
+          "stepTags": {
+            "type": "object",
+            "additionalProperties": {
+              "type": "string"
+            },
+            "description": "This is a dictionary",
+            "nullable": true
+          },
+          "experimentName": {
+            "type": "string",
+            "nullable": true
+          },
+          "pipelineParameters": {
+            "type": "object",
+            "additionalProperties": {
+              "type": "string"
+            },
+            "description": "This is a dictionary",
+            "nullable": true
+          },
+          "dataPathAssignments": {
+            "type": "object",
+            "additionalProperties": {
+              "$ref": "#/components/schemas/LegacyDataPath"
+            },
+            "description": "This is a dictionary",
+            "nullable": true
+          },
+          "dataSetDefinitionValueAssignments": {
+            "type": "object",
+            "additionalProperties": {
+              "$ref": "#/components/schemas/DataSetDefinitionValue"
+            },
+            "description": "This is a dictionary",
+            "nullable": true
+          },
+          "assetOutputSettingsAssignments": {
+            "type": "object",
+            "additionalProperties": {
+              "$ref": "#/components/schemas/AssetOutputSettings"
+            },
+            "description": "This is a dictionary",
+            "nullable": true
+          },
+          "enableNotification": {
+            "type": "boolean",
+            "nullable": true
+          },
+          "subPipelinesInfo": {
+            "$ref": "#/components/schemas/SubPipelinesInfo"
+          },
+          "displayName": {
+            "type": "string",
+            "nullable": true
+          },
+          "runId": {
+            "type": "string",
+            "nullable": true
+          },
+          "parentRunId": {
+            "type": "string",
+            "nullable": true
+          },
+          "graph": {
+            "$ref": "#/components/schemas/GraphDraftEntity"
+          },
+          "pipelineRunSettings": {
+            "type": "array",
+            "items": {
+              "$ref": "#/components/schemas/RunSettingParameterAssignment"
+            },
+            "nullable": true
+          },
+          "moduleNodeRunSettings": {
+            "type": "array",
+            "items": {
+              "$ref": "#/components/schemas/GraphModuleNodeRunSetting"
+            },
+            "nullable": true
+          },
+          "moduleNodeUIInputSettings": {
+            "type": "array",
+            "items": {
+              "$ref": "#/components/schemas/GraphModuleNodeUIInputSetting"
+            },
+            "nullable": true
+          },
+          "tags": {
+            "type": "object",
+            "additionalProperties": {
+              "type": "string"
+            },
+            "description": "This is a dictionary",
+            "nullable": true
+          },
+          "continueRunOnStepFailure": {
+            "type": "boolean",
+            "nullable": true
+          },
+          "description": {
+            "type": "string",
+            "nullable": true
+          },
+          "properties": {
+            "type": "object",
+            "additionalProperties": {
+              "type": "string"
+            },
+            "description": "This is a dictionary",
+            "nullable": true
+          },
+          "enforceRerun": {
+            "type": "boolean",
+            "nullable": true
+          },
+          "datasetAccessModes": {
+            "$ref": "#/components/schemas/DatasetAccessModes"
+          }
+        },
+        "additionalProperties": false
+      },
+      "CreateRealTimeEndpointRequest": {
+        "type": "object",
+        "properties": {
+          "name": {
+            "type": "string",
+            "nullable": true
+          },
+          "computeInfo": {
+            "$ref": "#/components/schemas/ComputeInfo"
+          },
+          "description": {
+            "type": "string",
+            "nullable": true
+          },
+          "linkedPipelineDraftId": {
+            "type": "string",
+            "nullable": true
+          },
+          "linkedPipelineRunId": {
+            "type": "string",
+            "nullable": true
+          },
+          "aksAdvanceSettings": {
+            "$ref": "#/components/schemas/AKSAdvanceSettings"
+          },
+          "aciAdvanceSettings": {
+            "$ref": "#/components/schemas/ACIAdvanceSettings"
+          },
+          "linkedTrainingPipelineRunId": {
+            "type": "string",
+            "nullable": true
+          },
+          "linkedExperimentName": {
+            "type": "string",
+            "nullable": true
+          },
+          "graphNodesRunIdMapping": {
+            "type": "object",
+            "additionalProperties": {
+              "type": "string"
+            },
+            "description": "This is a dictionary",
+            "nullable": true
+          },
+          "workflow": {
+            "$ref": "#/components/schemas/PipelineGraph"
+          },
+          "inputs": {
+            "type": "array",
+            "items": {
+              "$ref": "#/components/schemas/InputOutputPortMetadata"
+            },
+            "nullable": true
+          },
+          "outputs": {
+            "type": "array",
+            "items": {
+              "$ref": "#/components/schemas/InputOutputPortMetadata"
+            },
+            "nullable": true
+          },
+          "exampleRequest": {
+            "$ref": "#/components/schemas/ExampleRequest"
+          },
+          "userStorageConnectionString": {
+            "type": "string",
+            "nullable": true
+          },
+          "userStorageEndpointUri": {
+            "type": "string",
+            "format": "uri",
+            "nullable": true
+          },
+          "userStorageWorkspaceSaiToken": {
+            "type": "string",
+            "nullable": true
+          },
+          "userStorageContainerName": {
+            "type": "string",
+            "nullable": true
+          },
+          "pipelineRunId": {
+            "type": "string",
+            "nullable": true
+          },
+          "rootPipelineRunId": {
+            "type": "string",
+            "nullable": true
+          },
+          "experimentName": {
+            "type": "string",
+            "nullable": true
+          },
+          "experimentId": {
+            "type": "string",
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "CreatedBy": {
+        "type": "object",
+        "properties": {
+          "userObjectId": {
+            "type": "string",
+            "nullable": true
+          },
+          "userTenantId": {
+            "type": "string",
+            "nullable": true
+          },
+          "userName": {
+            "type": "string",
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "CreatedFromDto": {
+        "type": "object",
+        "properties": {
+          "type": {
+            "$ref": "#/components/schemas/CreatedFromType"
+          },
+          "locationType": {
+            "$ref": "#/components/schemas/CreatedFromLocationType"
+          },
+          "location": {
+            "type": "string",
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "CreatedFromLocationType": {
+        "enum": [
+          "ArtifactId"
+        ],
+        "type": "string"
+      },
+      "CreatedFromType": {
+        "enum": [
+          "Notebook"
+        ],
+        "type": "string"
+      },
+      "CreationContext": {
+        "type": "object",
+        "properties": {
+          "createdTime": {
+            "type": "string",
+            "format": "date-time"
+          },
+          "createdBy": {
+            "$ref": "#/components/schemas/SchemaContractsCreatedBy"
+          },
+          "creationSource": {
+            "type": "string",
+            "nullable": true
+          }
+        }
+      },
+      "Cron": {
+        "type": "object",
+        "properties": {
+          "expression": {
+            "type": "string",
+            "nullable": true
+          },
+          "endTime": {
+            "type": "string",
+            "nullable": true
+          },
+          "startTime": {
+            "type": "string",
+            "nullable": true
+          },
+          "timeZone": {
+            "type": "string",
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "CustomConnectionConfig": {
+        "type": "object",
+        "properties": {
+          "configValueType": {
+            "$ref": "#/components/schemas/ConfigValueType"
+          },
+          "value": {
+            "type": "string",
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "CustomReference": {
+        "type": "object",
+        "properties": {
+          "amlDataStoreName": {
+            "type": "string",
+            "nullable": true
+          },
+          "relativePath": {
+            "type": "string",
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "DBFSReference": {
+        "type": "object",
+        "properties": {
+          "relativePath": {
+            "type": "string",
+            "nullable": true
+          },
+          "amlDataStoreName": {
+            "type": "string",
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "Data": {
+        "type": "object",
+        "properties": {
+          "dataLocation": {
+            "$ref": "#/components/schemas/ExecutionDataLocation"
+          },
+          "mechanism": {
+            "$ref": "#/components/schemas/DeliveryMechanism"
+          },
+          "environmentVariableName": {
+            "type": "string",
+            "nullable": true
+          },
+          "pathOnCompute": {
+            "type": "string",
+            "nullable": true
+          },
+          "overwrite": {
+            "type": "boolean"
+          },
+          "options": {
+            "type": "object",
+            "additionalProperties": {
+              "type": "string",
+              "nullable": true
+            },
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "DataBindingMode": {
+        "enum": [
+          "Mount",
+          "Download",
+          "Upload",
+          "ReadOnlyMount",
+          "ReadWriteMount",
+          "Direct",
+          "EvalMount",
+          "EvalDownload"
+        ],
+        "type": "string"
+      },
+      "DataCategory": {
+        "enum": [
+          "All",
+          "Dataset",
+          "Model"
+        ],
+        "type": "string"
+      },
+      "DataCopyMode": {
+        "enum": [
+          "MergeWithOverwrite",
+          "FailIfConflict"
+        ],
+        "type": "string"
+      },
+      "DataInfo": {
+        "type": "object",
+        "properties": {
+          "feedName": {
+            "type": "string",
+            "nullable": true
+          },
+          "id": {
+            "type": "string",
+            "nullable": true
+          },
+          "dataSourceType": {
+            "$ref": "#/components/schemas/DataSourceType"
+          },
+          "name": {
+            "type": "string",
+            "nullable": true
+          },
+          "description": {
+            "type": "string",
+            "nullable": true
+          },
+          "dataTypeId": {
+            "type": "string",
+            "nullable": true
+          },
+          "amlDataStoreName": {
+            "type": "string",
+            "nullable": true
+          },
+          "relativePath": {
+            "type": "string",
+            "nullable": true
+          },
+          "createdDate": {
+            "type": "string",
+            "format": "date-time",
+            "nullable": true
+          },
+          "modifiedDate": {
+            "type": "string",
+            "format": "date-time",
+            "nullable": true
+          },
+          "registeredBy": {
+            "type": "string",
+            "nullable": true
+          },
+          "tags": {
+            "type": "object",
+            "additionalProperties": {
+              "type": "string",
+              "nullable": true
+            },
+            "nullable": true
+          },
+          "createdByStudio": {
+            "type": "boolean",
+            "nullable": true
+          },
+          "dataReferenceType": {
+            "$ref": "#/components/schemas/DataReferenceType"
+          },
+          "datasetType": {
+            "type": "string",
+            "nullable": true
+          },
+          "savedDatasetId": {
+            "type": "string",
+            "nullable": true
+          },
+          "datasetVersionId": {
+            "type": "string",
+            "nullable": true
+          },
+          "isVisible": {
+            "type": "boolean"
+          },
+          "isRegistered": {
+            "type": "boolean"
+          },
+          "properties": {
+            "type": "object",
+            "additionalProperties": { },
+            "description": "This is a dictionary",
+            "nullable": true
+          },
+          "connectionString": {
+            "type": "string",
+            "nullable": true
+          },
+          "containerName": {
+            "type": "string",
+            "nullable": true
+          },
+          "dataStorageEndpointUri": {
+            "type": "string",
+            "format": "uri",
+            "nullable": true
+          },
+          "workspaceSaiToken": {
+            "type": "string",
+            "nullable": true
+          },
+          "amlDatasetDataFlow": {
+            "type": "string",
+            "nullable": true
+          },
+          "systemData": {
+            "$ref": "#/components/schemas/SystemData"
+          },
+          "armId": {
+            "type": "string",
+            "nullable": true
+          },
+          "assetId": {
+            "type": "string",
+            "nullable": true
+          },
+          "assetUri": {
+            "type": "string",
+            "nullable": true
+          },
+          "assetType": {
+            "type": "string",
+            "nullable": true
+          },
+          "isDataV2": {
+            "type": "boolean",
+            "nullable": true
+          },
+          "assetScopeType": {
+            "$ref": "#/components/schemas/AssetScopeTypes"
+          },
+          "pipelineRunId": {
+            "type": "string",
+            "nullable": true
+          },
+          "moduleNodeId": {
+            "type": "string",
+            "nullable": true
+          },
+          "outputPortName": {
+            "type": "string",
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "DataLocation": {
+        "type": "object",
+        "properties": {
+          "storageType": {
+            "$ref": "#/components/schemas/DataLocationStorageType"
+          },
+          "storageId": {
+            "type": "string",
+            "nullable": true
+          },
+          "uri": {
+            "type": "string",
+            "nullable": true
+          },
+          "dataStoreName": {
+            "type": "string",
+            "nullable": true
+          },
+          "dataReference": {
+            "$ref": "#/components/schemas/DataReference"
+          },
+          "amlDataset": {
+            "$ref": "#/components/schemas/AmlDataset"
+          },
+          "assetDefinition": {
+            "$ref": "#/components/schemas/AssetDefinition"
+          }
+        },
+        "additionalProperties": false
+      },
+      "DataLocationStorageType": {
+        "enum": [
+          "None",
+          "AzureBlob",
+          "Artifact",
+          "Snapshot",
+          "SavedAmlDataset",
+          "Asset"
+        ],
+        "type": "string"
+      },
+      "DataPath": {
+        "type": "object",
+        "properties": {
+          "dataStoreName": {
+            "type": "string",
+            "nullable": true
+          },
+          "relativePath": {
+            "type": "string",
+            "nullable": true
+          },
+          "sqlDataPath": {
+            "$ref": "#/components/schemas/SqlDataPath"
+          }
+        },
+        "additionalProperties": false
+      },
+      "DataPathParameter": {
+        "type": "object",
+        "properties": {
+          "name": {
+            "type": "string",
+            "nullable": true
+          },
+          "documentation": {
+            "type": "string",
+            "nullable": true
+          },
+          "defaultValue": {
+            "$ref": "#/components/schemas/LegacyDataPath"
+          },
+          "isOptional": {
+            "type": "boolean"
+          },
+          "dataTypeId": {
+            "type": "string",
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "DataPortDto": {
+        "type": "object",
+        "properties": {
+          "dataPortType": {
+            "$ref": "#/components/schemas/DataPortType"
+          },
+          "dataPortName": {
+            "type": "string",
+            "nullable": true
+          },
+          "dataStoreName": {
+            "type": "string",
+            "nullable": true
+          },
+          "dataStoreIntellectualPropertyAccessMode": {
+            "$ref": "#/components/schemas/IntellectualPropertyAccessMode"
+          },
+          "dataStoreIntellectualPropertyPublisher": {
+            "type": "string",
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "DataPortType": {
+        "enum": [
+          "Input",
+          "Output"
+        ],
+        "type": "string"
+      },
+      "DataReference": {
+        "type": "object",
+        "properties": {
+          "type": {
+            "$ref": "#/components/schemas/DataReferenceType"
+          },
+          "azureBlobReference": {
+            "$ref": "#/components/schemas/AzureBlobReference"
+          },
+          "azureDataLakeReference": {
+            "$ref": "#/components/schemas/AzureDataLakeReference"
+          },
+          "azureFilesReference": {
+            "$ref": "#/components/schemas/AzureFilesReference"
+          },
+          "azureSqlDatabaseReference": {
+            "$ref": "#/components/schemas/AzureDatabaseReference"
+          },
+          "azurePostgresDatabaseReference": {
+            "$ref": "#/components/schemas/AzureDatabaseReference"
+          },
+          "azureDataLakeGen2Reference": {
+            "$ref": "#/components/schemas/AzureDataLakeGen2Reference"
+          },
+          "dbfsReference": {
+            "$ref": "#/components/schemas/DBFSReference"
+          },
+          "azureMySqlDatabaseReference": {
+            "$ref": "#/components/schemas/AzureDatabaseReference"
+          },
+          "customReference": {
+            "$ref": "#/components/schemas/CustomReference"
+          },
+          "hdfsReference": {
+            "$ref": "#/components/schemas/HdfsReference"
+          }
+        },
+        "additionalProperties": false
+      },
+      "DataReferenceConfiguration": {
+        "type": "object",
+        "properties": {
+          "dataStoreName": {
+            "type": "string",
+            "nullable": true
+          },
+          "mode": {
+            "$ref": "#/components/schemas/DataStoreMode"
+          },
+          "pathOnDataStore": {
+            "type": "string",
+            "nullable": true
+          },
+          "pathOnCompute": {
+            "type": "string",
+            "nullable": true
+          },
+          "overwrite": {
+            "type": "boolean"
+          }
+        },
+        "additionalProperties": false
+      },
+      "DataReferenceType": {
+        "enum": [
+          "None",
+          "AzureBlob",
+          "AzureDataLake",
+          "AzureFiles",
+          "AzureSqlDatabase",
+          "AzurePostgresDatabase",
+          "AzureDataLakeGen2",
+          "DBFS",
+          "AzureMySqlDatabase",
+          "Custom",
+          "Hdfs"
+        ],
+        "type": "string"
+      },
+      "DataSetDefinition": {
+        "type": "object",
+        "properties": {
+          "dataTypeShortName": {
+            "type": "string",
+            "nullable": true
+          },
+          "parameterName": {
+            "type": "string",
+            "nullable": true
+          },
+          "value": {
+            "$ref": "#/components/schemas/DataSetDefinitionValue"
+          }
+        },
+        "additionalProperties": false
+      },
+      "DataSetDefinitionValue": {
+        "type": "object",
+        "properties": {
+          "literalValue": {
+            "$ref": "#/components/schemas/DataPath"
+          },
+          "dataSetReference": {
+            "$ref": "#/components/schemas/RegisteredDataSetReference"
+          },
+          "savedDataSetReference": {
+            "$ref": "#/components/schemas/SavedDataSetReference"
+          },
+          "assetDefinition": {
+            "$ref": "#/components/schemas/AssetDefinition"
+          }
+        },
+        "additionalProperties": false
+      },
+      "DataSetPathParameter": {
+        "type": "object",
+        "properties": {
+          "name": {
+            "type": "string",
+            "nullable": true
+          },
+          "documentation": {
+            "type": "string",
+            "nullable": true
+          },
+          "defaultValue": {
+            "$ref": "#/components/schemas/DataSetDefinitionValue"
+          },
+          "isOptional": {
+            "type": "boolean"
+          }
+        },
+        "additionalProperties": false
+      },
+      "DataSettings": {
+        "type": "object",
+        "properties": {
+          "targetColumnName": {
+            "type": "string",
+            "nullable": true
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+            "type": "string",
+            "nullable": true
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+            "$ref": "#/components/schemas/ValidationDataSettings"
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+            "$ref": "#/components/schemas/TestDataSettings"
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+          "AMLModelVersion"
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+        "type": "object",
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+          "type": {
+            "$ref": "#/components/schemas/DataTransferStorageType"
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+            "$ref": "#/components/schemas/FileSystem"
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+            "$ref": "#/components/schemas/DatabaseSink"
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+        "type": "object",
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+          "type": {
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+            "$ref": "#/components/schemas/FileSystem"
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+            "$ref": "#/components/schemas/DatabaseSource"
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+          "ExportData",
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+        "type": "string"
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+            "$ref": "#/components/schemas/DataTransferTaskType"
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+            "$ref": "#/components/schemas/ImportDataTask"
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+            "$ref": "#/components/schemas/ExportDataTask"
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+            "$ref": "#/components/schemas/DataCopyMode"
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+      },
+      "DockerSettingConfiguration": {
+        "type": "object",
+        "properties": {
+          "useDocker": {
+            "type": "boolean",
+            "nullable": true
+          },
+          "sharedVolumes": {
+            "type": "boolean",
+            "nullable": true
+          },
+          "shmSize": {
+            "type": "string",
+            "nullable": true
+          },
+          "arguments": {
+            "type": "array",
+            "items": {
+              "type": "string"
+            },
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "DownloadResourceInfo": {
+        "type": "object",
+        "properties": {
+          "downloadUrl": {
+            "type": "string",
+            "nullable": true
+          },
+          "size": {
+            "type": "integer",
+            "format": "int64"
+          }
+        },
+        "additionalProperties": false
+      },
+      "EPRPipelineRunErrorClassificationRequest": {
+        "type": "object",
+        "properties": {
+          "rootRunId": {
+            "type": "string",
+            "nullable": true
+          },
+          "runId": {
+            "type": "string",
+            "nullable": true
+          },
+          "taskResult": {
+            "type": "string",
+            "nullable": true
+          },
+          "failureType": {
+            "type": "string",
+            "nullable": true
+          },
+          "failureName": {
+            "type": "string",
+            "nullable": true
+          },
+          "responsibleTeam": {
+            "type": "string",
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "ETag": {
+        "type": "object",
+        "additionalProperties": false
+      },
+      "EarlyTerminationPolicyType": {
+        "enum": [
+          "Bandit",
+          "MedianStopping",
+          "TruncationSelection"
+        ],
+        "type": "string"
+      },
+      "EmailNotificationEnableType": {
+        "enum": [
+          "JobCompleted",
+          "JobFailed",
+          "JobCancelled"
+        ],
+        "type": "string"
+      },
+      "EndpointAuthMode": {
+        "enum": [
+          "AMLToken",
+          "Key",
+          "AADToken"
+        ],
+        "type": "string"
+      },
+      "EndpointSetting": {
+        "type": "object",
+        "properties": {
+          "type": {
+            "type": "string",
+            "nullable": true
+          },
+          "port": {
+            "type": "integer",
+            "format": "int32",
+            "nullable": true
+          },
+          "sslThumbprint": {
+            "type": "string",
+            "nullable": true
+          },
+          "endpoint": {
+            "type": "string",
+            "nullable": true
+          },
+          "proxyEndpoint": {
+            "type": "string",
+            "nullable": true
+          },
+          "status": {
+            "type": "string",
+            "nullable": true
+          },
+          "errorMessage": {
+            "type": "string",
+            "nullable": true
+          },
+          "enabled": {
+            "type": "boolean",
+            "nullable": true
+          },
+          "properties": {
+            "type": "object",
+            "additionalProperties": {
+              "type": "string",
+              "nullable": true
+            },
+            "nullable": true
+          },
+          "nodes": {
+            "type": "string",
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "EntityInterface": {
+        "type": "object",
+        "properties": {
+          "parameters": {
+            "type": "array",
+            "items": {
+              "$ref": "#/components/schemas/Parameter"
+            },
+            "nullable": true
+          },
+          "ports": {
+            "$ref": "#/components/schemas/NodePortInterface"
+          },
+          "metadataParameters": {
+            "type": "array",
+            "items": {
+              "$ref": "#/components/schemas/Parameter"
+            },
+            "nullable": true
+          },
+          "dataPathParameters": {
+            "type": "array",
+            "items": {
+              "$ref": "#/components/schemas/DataPathParameter"
+            },
+            "nullable": true
+          },
+          "dataPathParameterList": {
+            "type": "array",
+            "items": {
+              "$ref": "#/components/schemas/DataSetPathParameter"
+            },
+            "nullable": true
+          },
+          "AssetOutputSettingsParameterList": {
+            "type": "array",
+            "items": {
+              "$ref": "#/components/schemas/AssetOutputSettingsParameter"
+            },
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "EntityKind": {
+        "enum": [
+          "Invalid",
+          "LineageRoot",
+          "Versioned",
+          "Unversioned"
+        ],
+        "type": "string"
+      },
+      "EntityStatus": {
+        "enum": [
+          "Active",
+          "Deprecated",
+          "Disabled"
+        ],
+        "type": "string"
+      },
+      "EntityUsage": {
+        "type": "object",
+        "properties": {
+          "totalCount": {
+            "type": "integer",
+            "format": "int64",
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "EntrySetting": {
+        "type": "object",
+        "properties": {
+          "file": {
+            "type": "string",
+            "nullable": true
+          },
+          "className": {
+            "type": "string",
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "EnumParameterRule": {
+        "type": "object",
+        "properties": {
+          "validValues": {
+            "type": "array",
+            "items": {
+              "type": "string"
+            },
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "EnvironmentConfiguration": {
+        "type": "object",
+        "properties": {
+          "name": {
+            "type": "string",
+            "nullable": true
+          },
+          "version": {
+            "type": "string",
+            "nullable": true
+          },
+          "useEnvironmentDefinition": {
+            "type": "boolean"
+          },
+          "environmentDefinitionString": {
+            "type": "string",
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "EnvironmentDefinition": {
+        "type": "object",
+        "properties": {
+          "name": {
+            "type": "string",
+            "nullable": true
+          },
+          "version": {
+            "type": "string",
+            "nullable": true
+          },
+          "assetId": {
+            "type": "string",
+            "nullable": true
+          },
+          "autoRebuild": {
+            "type": "boolean",
+            "nullable": true
+          },
+          "python": {
+            "$ref": "#/components/schemas/PythonSection"
+          },
+          "environmentVariables": {
+            "type": "object",
+            "additionalProperties": {
+              "type": "string",
+              "nullable": true
+            },
+            "nullable": true
+          },
+          "docker": {
+            "$ref": "#/components/schemas/DockerSection"
+          },
+          "spark": {
+            "$ref": "#/components/schemas/SparkSection"
+          },
+          "r": {
+            "$ref": "#/components/schemas/RSection"
+          },
+          "inferencingStackVersion": {
+            "type": "string",
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "EnvironmentDefinitionDto": {
+        "type": "object",
+        "properties": {
+          "environmentName": {
+            "type": "string",
+            "nullable": true
+          },
+          "environmentVersion": {
+            "type": "string",
+            "nullable": true
+          },
+          "intellectualPropertyPublisher": {
+            "type": "string",
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "ErrorAdditionalInfo": {
+        "type": "object",
+        "properties": {
+          "type": {
+            "type": "string",
+            "description": "The additional info type.",
+            "nullable": true
+          },
+          "info": {
+            "description": "The additional info.",
+            "nullable": true
+          }
+        },
+        "additionalProperties": false,
+        "description": "The resource management error additional info."
+      },
+      "ErrorHandlingMode": {
+        "enum": [
+          "DefaultInterpolation",
+          "CustomerFacingInterpolation"
+        ],
+        "type": "string"
+      },
+      "ErrorResponse": {
+        "type": "object",
+        "properties": {
+          "error": {
+            "$ref": "#/components/schemas/RootError"
+          },
+          "correlation": {
+            "type": "object",
+            "additionalProperties": {
+              "type": "string",
+              "nullable": true
+            },
+            "description": "Dictionary containing correlation details for the error.",
+            "nullable": true
+          },
+          "environment": {
+            "type": "string",
+            "description": "The hosting environment.",
+            "nullable": true
+          },
+          "location": {
+            "type": "string",
+            "description": "The Azure region.",
+            "nullable": true
+          },
+          "time": {
+            "type": "string",
+            "description": "The time in UTC.",
+            "format": "date-time"
+          },
+          "componentName": {
+            "type": "string",
+            "description": "Component name where error originated/encountered.",
+            "nullable": true
+          }
+        },
+        "description": "The error response."
+      },
+      "EsCloudConfiguration": {
+        "type": "object",
+        "properties": {
+          "enableOutputToFileBasedOnDataTypeId": {
+            "type": "boolean",
+            "nullable": true
+          },
+          "environment": {
+            "$ref": "#/components/schemas/EnvironmentConfiguration"
+          },
+          "hyperDriveConfiguration": {
+            "$ref": "#/components/schemas/HyperDriveConfiguration"
+          },
+          "k8sConfig": {
+            "$ref": "#/components/schemas/K8sConfiguration"
+          },
+          "resourceConfig": {
+            "$ref": "#/components/schemas/AEVAResourceConfiguration"
+          },
+          "torchDistributedConfig": {
+            "$ref": "#/components/schemas/TorchDistributedConfiguration"
+          },
+          "targetSelectorConfig": {
+            "$ref": "#/components/schemas/TargetSelectorConfiguration"
+          },
+          "dockerConfig": {
+            "$ref": "#/components/schemas/DockerSettingConfiguration"
+          },
+          "environmentVariables": {
+            "type": "object",
+            "additionalProperties": {
+              "type": "string",
+              "nullable": true
+            },
+            "nullable": true
+          },
+          "maxRunDurationSeconds": {
+            "type": "integer",
+            "format": "int32",
+            "nullable": true
+          },
+          "identity": {
+            "$ref": "#/components/schemas/IdentitySetting"
+          },
+          "applicationEndpoints": {
+            "type": "object",
+            "additionalProperties": {
+              "$ref": "#/components/schemas/ApplicationEndpointConfiguration"
+            },
+            "nullable": true
+          },
+          "runConfig": {
+            "type": "string",
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "EvaluationFlowRunSettings": {
+        "type": "object",
+        "properties": {
+          "flowRunId": {
+            "type": "string",
+            "nullable": true
+          },
+          "upstreamVariantRunVariants": {
+            "type": "object",
+            "additionalProperties": {
+              "$ref": "#/components/schemas/VariantIdentifier"
+            },
+            "description": "This is a dictionary",
+            "nullable": true
+          },
+          "batch_inputs": {
+            "type": "array",
+            "items": {
+              "type": "object",
+              "additionalProperties": { },
+              "description": "This is a dictionary"
+            },
+            "nullable": true
+          },
+          "inputUniversalLink": {
+            "type": "string",
+            "nullable": true
+          },
+          "dataInputs": {
+            "type": "object",
+            "additionalProperties": {
+              "type": "string"
+            },
+            "description": "This is a dictionary",
+            "nullable": true
+          },
+          "flowRunOutputDirectory": {
+            "type": "string",
+            "nullable": true
+          },
+          "connectionOverrides": {
+            "type": "array",
+            "items": {
+              "$ref": "#/components/schemas/ConnectionOverrideSetting"
+            },
+            "nullable": true
+          },
+          "flowRunDisplayName": {
+            "type": "string",
+            "nullable": true
+          },
+          "description": {
+            "type": "string",
+            "nullable": true
+          },
+          "tags": {
+            "type": "object",
+            "additionalProperties": {
+              "type": "string"
+            },
+            "description": "This is a dictionary",
+            "nullable": true
+          },
+          "properties": {
+            "type": "object",
+            "additionalProperties": {
+              "type": "string"
+            },
+            "description": "This is a dictionary",
+            "nullable": true
+          },
+          "runtimeName": {
+            "type": "string",
+            "nullable": true
+          },
+          "batchDataInput": {
+            "$ref": "#/components/schemas/BatchDataInput"
+          },
+          "inputsMapping": {
+            "type": "object",
+            "additionalProperties": {
+              "type": "string"
+            },
+            "description": "This is a dictionary",
+            "nullable": true
+          },
+          "connections": {
+            "type": "object",
+            "additionalProperties": {
+              "type": "object",
+              "additionalProperties": {
+                "type": "string"
+              },
+              "description": "This is a dictionary"
+            },
+            "description": "This is a dictionary",
+            "nullable": true
+          },
+          "environmentVariables": {
+            "type": "object",
+            "additionalProperties": {
+              "type": "string"
+            },
+            "description": "This is a dictionary",
+            "nullable": true
+          },
+          "outputDataStore": {
+            "type": "string",
+            "nullable": true
+          },
+          "runDisplayNameGenerationType": {
+            "$ref": "#/components/schemas/RunDisplayNameGenerationType"
+          },
+          "collieRunSettings": {
+            "$ref": "#/components/schemas/CollieRunSettings"
+          },
+          "workerCount": {
+            "type": "integer",
+            "format": "int32",
+            "nullable": true
+          },
+          "timeoutInSeconds": {
+            "type": "integer",
+            "format": "int32",
+            "nullable": true
+          },
+          "promptflowEngineType": {
+            "$ref": "#/components/schemas/PromptflowEngineType"
+          },
+          "experimentNodeName": {
+            "type": "string",
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "ExampleRequest": {
+        "type": "object",
+        "properties": {
+          "inputs": {
+            "type": "object",
+            "additionalProperties": {
+              "type": "array",
+              "items": {
+                "type": "array",
+                "items": { }
+              }
+            },
+            "description": "This is a dictionary",
+            "nullable": true
+          },
+          "globalParameters": {
+            "type": "object",
+            "additionalProperties": { },
+            "description": "This is a dictionary",
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "ExecutionContextDto": {
+        "type": "object",
+        "properties": {
+          "executable": {
+            "type": "string",
+            "nullable": true
+          },
+          "userCode": {
+            "type": "string",
+            "nullable": true
+          },
+          "arguments": {
+            "type": "string",
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "ExecutionDataLocation": {
+        "type": "object",
+        "properties": {
+          "dataset": {
+            "$ref": "#/components/schemas/RunDatasetReference"
+          },
+          "dataPath": {
+            "$ref": "#/components/schemas/ExecutionDataPath"
+          },
+          "uri": {
+            "$ref": "#/components/schemas/UriReference"
+          },
+          "type": {
+            "type": "string",
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "ExecutionDataPath": {
+        "type": "object",
+        "properties": {
+          "datastoreName": {
+            "type": "string",
+            "nullable": true
+          },
+          "relativePath": {
+            "type": "string",
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "ExecutionGlobsOptions": {
+        "type": "object",
+        "properties": {
+          "globPatterns": {
+            "type": "array",
+            "items": {
+              "type": "string"
+            },
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "ExecutionPhase": {
+        "enum": [
+          "Execution",
+          "Initialization",
+          "Finalization"
+        ],
+        "type": "string"
+      },
+      "ExperimentComputeMetaInfo": {
+        "type": "object",
+        "properties": {
+          "currentNodeCount": {
+            "type": "integer",
+            "format": "int32"
+          },
+          "targetNodeCount": {
+            "type": "integer",
+            "format": "int32"
+          },
+          "maxNodeCount": {
+            "type": "integer",
+            "format": "int32"
+          },
+          "minNodeCount": {
+            "type": "integer",
+            "format": "int32"
+          },
+          "idleNodeCount": {
+            "type": "integer",
+            "format": "int32"
+          },
+          "runningNodeCount": {
+            "type": "integer",
+            "format": "int32"
+          },
+          "preparingNodeCount": {
+            "type": "integer",
+            "format": "int32"
+          },
+          "unusableNodeCount": {
+            "type": "integer",
+            "format": "int32"
+          },
+          "leavingNodeCount": {
+            "type": "integer",
+            "format": "int32"
+          },
+          "preemptedNodeCount": {
+            "type": "integer",
+            "format": "int32"
+          },
+          "vmSize": {
+            "type": "string",
+            "nullable": true
+          },
+          "location": {
+            "type": "string",
+            "nullable": true
+          },
+          "provisioningState": {
+            "type": "string",
+            "nullable": true
+          },
+          "state": {
+            "type": "string",
+            "nullable": true
+          },
+          "osType": {
+            "type": "string",
+            "nullable": true
+          },
+          "id": {
+            "type": "string",
+            "nullable": true
+          },
+          "name": {
+            "type": "string",
+            "nullable": true
+          },
+          "createdByStudio": {
+            "type": "boolean"
+          },
+          "isGpuType": {
+            "type": "boolean"
+          },
+          "resourceId": {
+            "type": "string",
+            "nullable": true
+          },
+          "computeType": {
+            "type": "string",
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "ExperimentData": {
+        "type": "object",
+        "properties": {
+          "name": {
+            "type": "string",
+            "nullable": true
+          },
+          "path": {
+            "type": "string",
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "ExperimentDefinition": {
+        "type": "object",
+        "properties": {
+          "name": {
+            "type": "string",
+            "nullable": true
+          },
+          "description": {
+            "type": "string",
+            "nullable": true
+          },
+          "inputs": {
+            "type": "array",
+            "items": {
+              "$ref": "#/components/schemas/FlowInputDefinition"
+            },
+            "nullable": true
+          },
+          "data": {
+            "type": "array",
+            "items": {
+              "$ref": "#/components/schemas/ExperimentData"
+            },
+            "nullable": true
+          },
+          "nodes": {
+            "type": "array",
+            "items": {
+              "$ref": "#/components/schemas/ExperimentNode"
+            },
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "ExperimentDefinitionSource": {
+        "type": "object",
+        "properties": {
+          "sourceType": {
+            "$ref": "#/components/schemas/ExperimentDefinitionSourceType"
+          },
+          "experimentDefinitionDataUri": {
+            "type": "string",
+            "nullable": true
+          },
+          "experimentDefinition": {
+            "$ref": "#/components/schemas/ExperimentDefinition"
+          }
+        },
+        "additionalProperties": false
+      },
+      "ExperimentDefinitionSourceType": {
+        "enum": [
+          "DataUri",
+          "Definition"
+        ],
+        "type": "string"
+      },
+      "ExperimentInfo": {
+        "type": "object",
+        "properties": {
+          "experimentName": {
+            "type": "string",
+            "nullable": true
+          },
+          "experimentId": {
+            "type": "string",
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "ExperimentNode": {
+        "type": "object",
+        "properties": {
+          "name": {
+            "type": "string",
+            "nullable": true
+          },
+          "type": {
+            "$ref": "#/components/schemas/ExperimentNodeType"
+          },
+          "max_turns": {
+            "type": "integer",
+            "format": "int32",
+            "nullable": true
+          },
+          "roles": {
+            "type": "array",
+            "items": {
+              "$ref": "#/components/schemas/ChatGroupRole"
+            },
+            "nullable": true
+          },
+          "path": {
+            "type": "string",
+            "nullable": true
+          },
+          "variant": {
+            "type": "string",
+            "nullable": true
+          },
+          "connections": {
+            "type": "object",
+            "additionalProperties": {
+              "type": "object",
+              "additionalProperties": {
+                "type": "string"
+              },
+              "description": "This is a dictionary"
+            },
+            "description": "This is a dictionary",
+            "nullable": true
+          },
+          "environment_variables": {
+            "type": "object",
+            "additionalProperties": {
+              "type": "string"
+            },
+            "description": "This is a dictionary",
+            "nullable": true
+          },
+          "display_name": {
+            "type": "string",
+            "nullable": true
+          },
+          "description": {
+            "type": "string",
+            "nullable": true
+          },
+          "tags": {
+            "type": "object",
+            "additionalProperties": {
+              "type": "string"
+            },
+            "description": "This is a dictionary",
+            "nullable": true
+          },
+          "properties": {
+            "type": "object",
+            "additionalProperties": {
+              "type": "string"
+            },
+            "description": "This is a dictionary",
+            "nullable": true
+          },
+          "resources": {
+            "$ref": "#/components/schemas/SessionRuntimeResources"
+          },
+          "inputs": {
+            "type": "object",
+            "additionalProperties": {
+              "nullable": true
+            },
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "ExperimentNodeType": {
+        "enum": [
+          "Flow",
+          "ChatGroup"
+        ],
+        "type": "string"
+      },
+      "ExperimentTemplateDto": {
+        "type": "object",
+        "properties": {
+          "id": {
+            "type": "string",
+            "nullable": true
+          },
+          "createdDate": {
+            "type": "string",
+            "format": "date-time",
+            "nullable": true
+          },
+          "lastModifiedDate": {
+            "type": "string",
+            "format": "date-time",
+            "nullable": true
+          },
+          "owner": {
+            "$ref": "#/components/schemas/SchemaContractsCreatedBy"
+          },
+          "name": {
+            "type": "string",
+            "nullable": true
+          },
+          "description": {
+            "type": "string",
+            "nullable": true
+          },
+          "inputs": {
+            "type": "array",
+            "items": {
+              "$ref": "#/components/schemas/FlowInputDefinition"
+            },
+            "nullable": true
+          },
+          "data": {
+            "type": "array",
+            "items": {
+              "$ref": "#/components/schemas/ExperimentData"
+            },
+            "nullable": true
+          },
+          "nodes": {
+            "type": "array",
+            "items": {
+              "$ref": "#/components/schemas/ExperimentNode"
+            },
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "ExportComponentMetaInfo": {
+        "type": "object",
+        "properties": {
+          "moduleEntity": {
+            "$ref": "#/components/schemas/ModuleEntity"
+          },
+          "moduleVersion": {
+            "type": "string",
+            "nullable": true
+          },
+          "isAnonymous": {
+            "type": "boolean",
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "ExportDataTask": {
+        "type": "object",
+        "properties": {
+          "DataTransferSink": {
+            "$ref": "#/components/schemas/DataTransferSink"
+          }
+        },
+        "additionalProperties": false
+      },
+      "ExtensibleObject": {
+        "type": "object"
+      },
+      "FeaturizationMode": {
+        "enum": [
+          "Auto",
+          "Custom",
+          "Off"
+        ],
+        "type": "string"
+      },
+      "FeaturizationSettings": {
+        "type": "object",
+        "properties": {
+          "mode": {
+            "$ref": "#/components/schemas/FeaturizationMode"
+          },
+          "blockedTransformers": {
+            "type": "array",
+            "items": {
+              "type": "string"
+            },
+            "nullable": true
+          },
+          "columnPurposes": {
+            "type": "object",
+            "additionalProperties": {
+              "type": "string",
+              "nullable": true
+            },
+            "nullable": true
+          },
+          "dropColumns": {
+            "type": "array",
+            "items": {
+              "type": "string"
+            },
+            "nullable": true
+          },
+          "transformerParams": {
+            "type": "object",
+            "additionalProperties": {
+              "type": "array",
+              "items": {
+                "$ref": "#/components/schemas/ColumnTransformer"
+              },
+              "nullable": true
+            },
+            "nullable": true
+          },
+          "datasetLanguage": {
+            "type": "string",
+            "nullable": true
+          },
+          "enableDnnFeaturization": {
+            "type": "boolean",
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "FeedDto": {
+        "type": "object",
+        "properties": {
+          "name": {
+            "type": "string",
+            "nullable": true
+          },
+          "displayName": {
+            "type": "string",
+            "nullable": true
+          },
+          "description": {
+            "type": "string",
+            "nullable": true
+          },
+          "sharingScopes": {
+            "type": "array",
+            "items": {
+              "$ref": "#/components/schemas/SharingScope"
+            },
+            "nullable": true
+          },
+          "supportedAssetTypes": {
+            "type": "object",
+            "properties": {
+              "Component": {
+                "$ref": "#/components/schemas/AssetTypeMetaInfo"
+              },
+              "Model": {
+                "$ref": "#/components/schemas/AssetTypeMetaInfo"
+              },
+              "Environment": {
+                "$ref": "#/components/schemas/AssetTypeMetaInfo"
+              },
+              "Dataset": {
+                "$ref": "#/components/schemas/AssetTypeMetaInfo"
+              },
+              "DataStore": {
+                "$ref": "#/components/schemas/AssetTypeMetaInfo"
+              },
+              "SampleGraph": {
+                "$ref": "#/components/schemas/AssetTypeMetaInfo"
+              },
+              "FlowTool": {
+                "$ref": "#/components/schemas/AssetTypeMetaInfo"
+              },
+              "FlowToolSetting": {
+                "$ref": "#/components/schemas/AssetTypeMetaInfo"
+              },
+              "FlowConnection": {
+                "$ref": "#/components/schemas/AssetTypeMetaInfo"
+              },
+              "FlowSample": {
+                "$ref": "#/components/schemas/AssetTypeMetaInfo"
+              },
+              "FlowRuntimeSpec": {
+                "$ref": "#/components/schemas/AssetTypeMetaInfo"
+              }
+            },
+            "additionalProperties": false,
+            "nullable": true
+          },
+          "regionalWorkspaceStorage": {
+            "type": "object",
+            "additionalProperties": {
+              "type": "array",
+              "items": {
+                "type": "string"
+              }
+            },
+            "description": "This is a dictionary",
+            "nullable": true
+          },
+          "intellectualPropertyPublisher": {
+            "type": "string",
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "FileSystem": {
+        "type": "object",
+        "properties": {
+          "connection": {
+            "type": "string",
+            "nullable": true
+          },
+          "path": {
+            "type": "string",
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "Flow": {
+        "type": "object",
+        "properties": {
+          "sourceResourceId": {
+            "type": "string",
+            "nullable": true
+          },
+          "flowGraph": {
+            "$ref": "#/components/schemas/FlowGraph"
+          },
+          "nodeVariants": {
+            "type": "object",
+            "additionalProperties": {
+              "$ref": "#/components/schemas/NodeVariant"
+            },
+            "description": "This is a dictionary",
+            "nullable": true
+          },
+          "flowGraphLayout": {
+            "$ref": "#/components/schemas/FlowGraphLayout"
+          },
+          "bulkTestData": {
+            "type": "object",
+            "additionalProperties": {
+              "type": "string"
+            },
+            "description": "This is a dictionary",
+            "nullable": true
+          },
+          "evaluationFlows": {
+            "type": "object",
+            "additionalProperties": {
+              "$ref": "#/components/schemas/FlowGraphReference"
+            },
+            "description": "This is a dictionary",
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "FlowAnnotations": {
+        "type": "object",
+        "properties": {
+          "flowName": {
+            "type": "string",
+            "nullable": true
+          },
+          "createdDate": {
+            "type": "string",
+            "format": "date-time"
+          },
+          "lastModifiedDate": {
+            "type": "string",
+            "format": "date-time"
+          },
+          "owner": {
+            "$ref": "#/components/schemas/SchemaContractsCreatedBy"
+          },
+          "isArchived": {
+            "type": "boolean"
+          },
+          "vmSize": {
+            "type": "string",
+            "nullable": true
+          },
+          "maxIdleTimeSeconds": {
+            "type": "integer",
+            "format": "int64",
+            "nullable": true
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+            "type": "string",
+            "nullable": true
+          },
+          "description": {
+            "type": "string",
+            "nullable": true
+          },
+          "archived": {
+            "type": "boolean"
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+          "tags": {
+            "type": "object",
+            "additionalProperties": {
+              "type": "string",
+              "nullable": true
+            },
+            "nullable": true
+          }
+        }
+      },
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+        "type": "object",
+        "properties": {
+          "flowId": {
+            "type": "string",
+            "nullable": true
+          },
+          "flowName": {
+            "type": "string",
+            "nullable": true
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+          "description": {
+            "type": "string",
+            "nullable": true
+          },
+          "tags": {
+            "type": "object",
+            "additionalProperties": {
+              "type": "string",
+              "nullable": true
+            },
+            "nullable": true
+          },
+          "flowType": {
+            "$ref": "#/components/schemas/FlowType"
+          },
+          "experimentId": {
+            "type": "string",
+            "nullable": true
+          },
+          "createdDate": {
+            "type": "string",
+            "format": "date-time"
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+          "lastModifiedDate": {
+            "type": "string",
+            "format": "date-time"
+          },
+          "owner": {
+            "$ref": "#/components/schemas/SchemaContractsCreatedBy"
+          },
+          "flowResourceId": {
+            "type": "string",
+            "nullable": true
+          },
+          "isArchived": {
+            "type": "boolean"
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+          "flowDefinitionFilePath": {
+            "type": "string",
+            "nullable": true
+          },
+          "vmSize": {
+            "type": "string",
+            "nullable": true
+          },
+          "maxIdleTimeSeconds": {
+            "type": "integer",
+            "format": "int64",
+            "nullable": true
+          },
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+            "type": "string",
+            "nullable": true
+          },
+          "flowDiagnostics": {
+            "$ref": "#/components/schemas/FlowDiagnostics"
+          }
+        },
+        "additionalProperties": false
+      },
+      "FlowDiagnostics": {
+        "type": "object",
+        "properties": {
+          "datastore": {
+            "type": "string",
+            "nullable": true
+          },
+          "artifactOrigin": {
+            "type": "string",
+            "nullable": true
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+            "type": "string",
+            "nullable": true
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+            "type": "string",
+            "nullable": true
+          },
+          "sessionArtifactId": {
+            "type": "string",
+            "nullable": true
+          }
+        },
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+      },
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+        "type": "object",
+        "properties": {
+          "timestamp": {
+            "type": "string",
+            "format": "date-time",
+            "nullable": true
+          },
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+            "$ref": "#/components/schemas/ETag"
+          },
+          "flow": {
+            "$ref": "#/components/schemas/Flow"
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+          "flowRunSettings": {
+            "$ref": "#/components/schemas/FlowRunSettings"
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+          "flowRunResult": {
+            "$ref": "#/components/schemas/FlowRunResult"
+          },
+          "flowTestMode": {
+            "$ref": "#/components/schemas/FlowTestMode"
+          },
+          "flowTestInfos": {
+            "type": "object",
+            "additionalProperties": {
+              "$ref": "#/components/schemas/FlowTestInfo"
+            },
+            "nullable": true
+          },
+          "studioPortalEndpoint": {
+            "type": "string",
+            "nullable": true
+          },
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+            "type": "string",
+            "nullable": true
+          },
+          "flowName": {
+            "type": "string",
+            "nullable": true
+          },
+          "description": {
+            "type": "string",
+            "nullable": true
+          },
+          "tags": {
+            "type": "object",
+            "additionalProperties": {
+              "type": "string",
+              "nullable": true
+            },
+            "nullable": true
+          },
+          "flowType": {
+            "$ref": "#/components/schemas/FlowType"
+          },
+          "experimentId": {
+            "type": "string",
+            "nullable": true
+          },
+          "createdDate": {
+            "type": "string",
+            "format": "date-time"
+          },
+          "lastModifiedDate": {
+            "type": "string",
+            "format": "date-time"
+          },
+          "owner": {
+            "$ref": "#/components/schemas/SchemaContractsCreatedBy"
+          },
+          "flowResourceId": {
+            "type": "string",
+            "nullable": true
+          },
+          "isArchived": {
+            "type": "boolean"
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+          "flowDefinitionFilePath": {
+            "type": "string",
+            "nullable": true
+          },
+          "vmSize": {
+            "type": "string",
+            "nullable": true
+          },
+          "maxIdleTimeSeconds": {
+            "type": "integer",
+            "format": "int64",
+            "nullable": true
+          },
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+            "type": "string",
+            "nullable": true
+          },
+          "flowDiagnostics": {
+            "$ref": "#/components/schemas/FlowDiagnostics"
+          }
+        },
+        "additionalProperties": false
+      },
+      "FlowEnvironment": {
+        "type": "object",
+        "properties": {
+          "image": {
+            "type": "string",
+            "nullable": true
+          },
+          "python_requirements_txt": {
+            "type": "string",
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
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+        "type": "object",
+        "properties": {
+          "name": {
+            "type": "string",
+            "nullable": true
+          },
+          "description": {
+            "type": "string",
+            "nullable": true
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+            "type": "object",
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+              "Runtime": {
+                "$ref": "#/components/schemas/FlowFeatureStateEnum"
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+              "Executor": {
+                "$ref": "#/components/schemas/FlowFeatureStateEnum"
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+              "PFS": {
+                "$ref": "#/components/schemas/FlowFeatureStateEnum"
+              }
+            },
+            "additionalProperties": false,
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
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+        "enum": [
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+          "E2ETest"
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+        "type": "string"
+      },
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+        "type": "object",
+        "properties": {
+          "nodes": {
+            "type": "array",
+            "items": {
+              "$ref": "#/components/schemas/Node"
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+            "nullable": true
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+            "type": "array",
+            "items": {
+              "$ref": "#/components/schemas/Tool"
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+            "nullable": true
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+          "codes": {
+            "type": "object",
+            "additionalProperties": {
+              "type": "string"
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+            "description": "This is a dictionary",
+            "nullable": true
+          },
+          "inputs": {
+            "type": "object",
+            "additionalProperties": {
+              "$ref": "#/components/schemas/FlowInputDefinition"
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+            "description": "This is a dictionary",
+            "nullable": true
+          },
+          "outputs": {
+            "type": "object",
+            "additionalProperties": {
+              "$ref": "#/components/schemas/FlowOutputDefinition"
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+            "description": "This is a dictionary",
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
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+      "FlowGraphAnnotationNode": {
+        "type": "object",
+        "properties": {
+          "id": {
+            "type": "string",
+            "nullable": true
+          },
+          "content": {
+            "type": "string",
+            "nullable": true
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+              "type": "string"
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+            "nullable": true
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+            "type": "string",
+            "nullable": true
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+        "additionalProperties": false
+      },
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+        "type": "object",
+        "properties": {
+          "nodeLayouts": {
+            "type": "object",
+            "additionalProperties": {
+              "$ref": "#/components/schemas/FlowNodeLayout"
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+            "description": "This is a dictionary",
+            "nullable": true
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+          "extendedData": {
+            "type": "string",
+            "nullable": true
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+            "type": "array",
+            "items": {
+              "$ref": "#/components/schemas/FlowGraphAnnotationNode"
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+            "nullable": true
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+            "$ref": "#/components/schemas/Orientation"
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+        },
+        "additionalProperties": false
+      },
+      "FlowGraphReference": {
+        "type": "object",
+        "properties": {
+          "flowGraph": {
+            "$ref": "#/components/schemas/FlowGraph"
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+            "type": "string",
+            "nullable": true
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+            "$ref": "#/components/schemas/VariantIdentifier"
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+        "additionalProperties": false
+      },
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+        "type": "object",
+        "properties": {
+          "schemaId": {
+            "type": "string",
+            "nullable": true
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+            "type": "string",
+            "nullable": true
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+            "$ref": "#/components/schemas/EntityKind"
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+            "$ref": "#/components/schemas/FlowAnnotations"
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+          "properties": {
+            "$ref": "#/components/schemas/FlowProperties"
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+            "$ref": "#/components/schemas/ExtensibleObject"
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+            "format": "int64"
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+            "readOnly": true
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+            "nullable": true,
+            "readOnly": true
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+            "nullable": true,
+            "readOnly": true
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+            "type": "string",
+            "nullable": true,
+            "readOnly": true
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+            "type": "array",
+            "items": {
+              "$ref": "#/components/schemas/Relationship"
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+            "nullable": true
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+          "assetId": {
+            "type": "string",
+            "nullable": true
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+            "type": "boolean"
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+            "type": "string",
+            "nullable": true
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+        "type": "object",
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+            "type": "string",
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+          "type": {
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+            "type": "boolean"
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+          "is_chat_history": {
+            "type": "boolean",
+            "nullable": true
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+        },
+        "additionalProperties": false
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+        "enum": [
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+          "CSharp",
+          "TypeScript",
+          "JavaScript"
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+        "type": "string"
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+        "type": "object",
+        "properties": {
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+            "type": "string",
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+              "nullable": true
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+            "nullable": true
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+            "type": "boolean"
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+            "type": "string",
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+            "format": "float"
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+            "type": "string",
+            "nullable": true
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+            "type": "object",
+            "additionalProperties": {
+              "$ref": "#/components/schemas/FlowVariantNode"
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+            "description": "This is a dictionary",
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "FlowOutputDefinition": {
+        "type": "object",
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+            "nullable": true
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+            "nullable": true
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+            "type": "boolean"
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+          "is_chat_output": {
+            "type": "boolean"
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+      },
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+          "RestoreFlow",
+          "ExportFlowToFile"
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+        "type": "string"
+      },
+      "FlowProperties": {
+        "type": "object",
+        "properties": {
+          "flowId": {
+            "type": "string",
+            "nullable": true
+          },
+          "experimentId": {
+            "type": "string",
+            "nullable": true
+          },
+          "flowType": {
+            "$ref": "#/components/schemas/FlowType"
+          },
+          "flowDefinitionFilePath": {
+            "type": "string",
+            "nullable": true
+          },
+          "creationContext": {
+            "$ref": "#/components/schemas/CreationContext"
+          }
+        }
+      },
+      "FlowRunBasePath": {
+        "type": "object",
+        "properties": {
+          "outputDatastoreName": {
+            "type": "string",
+            "nullable": true
+          },
+          "basePath": {
+            "type": "string",
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "FlowRunInfo": {
+        "type": "object",
+        "properties": {
+          "flowGraph": {
+            "$ref": "#/components/schemas/FlowGraph"
+          },
+          "flowGraphLayout": {
+            "$ref": "#/components/schemas/FlowGraphLayout"
+          },
+          "flowName": {
+            "type": "string",
+            "nullable": true
+          },
+          "flowRunResourceId": {
+            "type": "string",
+            "nullable": true
+          },
+          "flowRunId": {
+            "type": "string",
+            "nullable": true
+          },
+          "flowRunDisplayName": {
+            "type": "string",
+            "nullable": true
+          },
+          "batchInputs": {
+            "type": "array",
+            "items": {
+              "type": "object",
+              "additionalProperties": { },
+              "description": "This is a dictionary"
+            },
+            "nullable": true
+          },
+          "batchDataInput": {
+            "$ref": "#/components/schemas/BatchDataInput"
+          },
+          "flowRunType": {
+            "$ref": "#/components/schemas/FlowRunTypeEnum"
+          },
+          "flowType": {
+            "$ref": "#/components/schemas/FlowType"
+          },
+          "runtimeName": {
+            "type": "string",
+            "nullable": true
+          },
+          "bulkTestId": {
+            "type": "string",
+            "nullable": true
+          },
+          "createdBy": {
+            "$ref": "#/components/schemas/SchemaContractsCreatedBy"
+          },
+          "createdOn": {
+            "type": "string",
+            "format": "date-time",
+            "nullable": true
+          },
+          "inputsMapping": {
+            "type": "object",
+            "additionalProperties": {
+              "type": "string"
+            },
+            "description": "This is a dictionary",
+            "nullable": true
+          },
+          "outputDatastoreName": {
+            "type": "string",
+            "nullable": true
+          },
+          "childRunBasePath": {
+            "type": "string",
+            "nullable": true
+          },
+          "workingDirectory": {
+            "type": "string",
+            "nullable": true
+          },
+          "flowDagFileRelativePath": {
+            "type": "string",
+            "nullable": true
+          },
+          "flowSnapshotId": {
+            "type": "string",
+            "nullable": true
+          },
+          "studioPortalEndpoint": {
+            "type": "string",
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "FlowRunMode": {
+        "enum": [
+          "Flow",
+          "SingleNode",
+          "FromNode",
+          "BulkTest",
+          "Eval",
+          "PairwiseEval",
+          "ExperimentTest",
+          "ExperimentEval"
+        ],
+        "type": "string"
+      },
+      "FlowRunResult": {
+        "type": "object",
+        "properties": {
+          "flow_runs": {
+            "type": "array",
+            "items": { },
+            "nullable": true
+          },
+          "node_runs": {
+            "type": "array",
+            "items": { },
+            "nullable": true
+          },
+          "errorResponse": {
+            "$ref": "#/components/schemas/ErrorResponse"
+          },
+          "flowName": {
+            "type": "string",
+            "nullable": true
+          },
+          "flowRunDisplayName": {
+            "type": "string",
+            "nullable": true
+          },
+          "flowRunId": {
+            "type": "string",
+            "nullable": true
+          },
+          "flowGraph": {
+            "$ref": "#/components/schemas/FlowGraph"
+          },
+          "flowGraphLayout": {
+            "$ref": "#/components/schemas/FlowGraphLayout"
+          },
+          "flowRunResourceId": {
+            "type": "string",
+            "nullable": true
+          },
+          "bulkTestId": {
+            "type": "string",
+            "nullable": true
+          },
+          "batchInputs": {
+            "type": "array",
+            "items": {
+              "type": "object",
+              "additionalProperties": { },
+              "description": "This is a dictionary"
+            },
+            "nullable": true
+          },
+          "batchDataInput": {
+            "$ref": "#/components/schemas/BatchDataInput"
+          },
+          "createdBy": {
+            "$ref": "#/components/schemas/SchemaContractsCreatedBy"
+          },
+          "createdOn": {
+            "type": "string",
+            "format": "date-time",
+            "nullable": true
+          },
+          "flowRunType": {
+            "$ref": "#/components/schemas/FlowRunTypeEnum"
+          },
+          "flowType": {
+            "$ref": "#/components/schemas/FlowType"
+          },
+          "runtimeName": {
+            "type": "string",
+            "nullable": true
+          },
+          "amlComputeName": {
+            "type": "string",
+            "nullable": true
+          },
+          "flowRunLogs": {
+            "type": "object",
+            "additionalProperties": {
+              "type": "string",
+              "nullable": true
+            },
+            "nullable": true
+          },
+          "flowTestMode": {
+            "$ref": "#/components/schemas/FlowTestMode"
+          },
+          "flowTestInfos": {
+            "type": "object",
+            "additionalProperties": {
+              "$ref": "#/components/schemas/FlowTestInfo"
+            },
+            "nullable": true
+          },
+          "workingDirectory": {
+            "type": "string",
+            "nullable": true
+          },
+          "flowDagFileRelativePath": {
+            "type": "string",
+            "nullable": true
+          },
+          "flowSnapshotId": {
+            "type": "string",
+            "nullable": true
+          },
+          "variantRunToEvaluationRunsIdMapping": {
+            "type": "object",
+            "additionalProperties": {
+              "type": "array",
+              "items": {
+                "type": "string"
+              },
+              "nullable": true
+            },
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "FlowRunSettings": {
+        "type": "object",
+        "properties": {
+          "runMode": {
+            "$ref": "#/components/schemas/FlowRunMode"
+          },
+          "tuningNodeNames": {
+            "type": "array",
+            "items": {
+              "type": "string"
+            },
+            "nullable": true
+          },
+          "tuningNodeSettings": {
+            "type": "object",
+            "additionalProperties": {
+              "$ref": "#/components/schemas/TuningNodeSetting"
+            },
+            "description": "This is a dictionary",
+            "nullable": true
+          },
+          "baselineVariantId": {
+            "type": "string",
+            "nullable": true
+          },
+          "defaultVariantId": {
+            "type": "string",
+            "nullable": true
+          },
+          "variants": {
+            "type": "object",
+            "additionalProperties": {
+              "type": "array",
+              "items": {
+                "$ref": "#/components/schemas/Node"
+              }
+            },
+            "description": "This is a dictionary",
+            "nullable": true
+          },
+          "nodeName": {
+            "type": "string",
+            "nullable": true
+          },
+          "isDefaultVariant": {
+            "type": "boolean"
+          },
+          "nodeVariantId": {
+            "type": "string",
+            "nullable": true
+          },
+          "nodeOutputPaths": {
+            "type": "object",
+            "additionalProperties": {
+              "type": "string",
+              "nullable": true
+            },
+            "nullable": true
+          },
+          "baseFlowRunId": {
+            "type": "string",
+            "nullable": true
+          },
+          "flowTestInfos": {
+            "type": "object",
+            "additionalProperties": {
+              "$ref": "#/components/schemas/FlowTestInfo"
+            },
+            "nullable": true
+          },
+          "bulkTestId": {
+            "type": "string",
+            "nullable": true
+          },
+          "evaluationFlowRunSettings": {
+            "type": "object",
+            "additionalProperties": {
+              "$ref": "#/components/schemas/EvaluationFlowRunSettings"
+            },
+            "description": "This is a dictionary",
+            "nullable": true
+          },
+          "bulkTestFlowId": {
+            "type": "string",
+            "nullable": true
+          },
+          "bulkTestFlowRunIds": {
+            "type": "array",
+            "items": {
+              "type": "string"
+            },
+            "nullable": true
+          },
+          "batch_inputs": {
+            "type": "array",
+            "items": {
+              "type": "object",
+              "additionalProperties": { },
+              "description": "This is a dictionary"
+            },
+            "nullable": true
+          },
+          "inputUniversalLink": {
+            "type": "string",
+            "nullable": true
+          },
+          "dataInputs": {
+            "type": "object",
+            "additionalProperties": {
+              "type": "string"
+            },
+            "description": "This is a dictionary",
+            "nullable": true
+          },
+          "flowRunOutputDirectory": {
+            "type": "string",
+            "nullable": true
+          },
+          "connectionOverrides": {
+            "type": "array",
+            "items": {
+              "$ref": "#/components/schemas/ConnectionOverrideSetting"
+            },
+            "nullable": true
+          },
+          "flowRunDisplayName": {
+            "type": "string",
+            "nullable": true
+          },
+          "description": {
+            "type": "string",
+            "nullable": true
+          },
+          "tags": {
+            "type": "object",
+            "additionalProperties": {
+              "type": "string"
+            },
+            "description": "This is a dictionary",
+            "nullable": true
+          },
+          "properties": {
+            "type": "object",
+            "additionalProperties": {
+              "type": "string"
+            },
+            "description": "This is a dictionary",
+            "nullable": true
+          },
+          "runtimeName": {
+            "type": "string",
+            "nullable": true
+          },
+          "batchDataInput": {
+            "$ref": "#/components/schemas/BatchDataInput"
+          },
+          "inputsMapping": {
+            "type": "object",
+            "additionalProperties": {
+              "type": "string"
+            },
+            "description": "This is a dictionary",
+            "nullable": true
+          },
+          "connections": {
+            "type": "object",
+            "additionalProperties": {
+              "type": "object",
+              "additionalProperties": {
+                "type": "string"
+              },
+              "description": "This is a dictionary"
+            },
+            "description": "This is a dictionary",
+            "nullable": true
+          },
+          "environmentVariables": {
+            "type": "object",
+            "additionalProperties": {
+              "type": "string"
+            },
+            "description": "This is a dictionary",
+            "nullable": true
+          },
+          "outputDataStore": {
+            "type": "string",
+            "nullable": true
+          },
+          "runDisplayNameGenerationType": {
+            "$ref": "#/components/schemas/RunDisplayNameGenerationType"
+          },
+          "collieRunSettings": {
+            "$ref": "#/components/schemas/CollieRunSettings"
+          },
+          "workerCount": {
+            "type": "integer",
+            "format": "int32",
+            "nullable": true
+          },
+          "timeoutInSeconds": {
+            "type": "integer",
+            "format": "int32",
+            "nullable": true
+          },
+          "promptflowEngineType": {
+            "$ref": "#/components/schemas/PromptflowEngineType"
+          },
+          "experimentNodeName": {
+            "type": "string",
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "FlowRunSettingsBase": {
+        "type": "object",
+        "properties": {
+          "batch_inputs": {
+            "type": "array",
+            "items": {
+              "type": "object",
+              "additionalProperties": { },
+              "description": "This is a dictionary"
+            },
+            "nullable": true
+          },
+          "inputUniversalLink": {
+            "type": "string",
+            "nullable": true
+          },
+          "dataInputs": {
+            "type": "object",
+            "additionalProperties": {
+              "type": "string"
+            },
+            "description": "This is a dictionary",
+            "nullable": true
+          },
+          "flowRunOutputDirectory": {
+            "type": "string",
+            "nullable": true
+          },
+          "connectionOverrides": {
+            "type": "array",
+            "items": {
+              "$ref": "#/components/schemas/ConnectionOverrideSetting"
+            },
+            "nullable": true
+          },
+          "flowRunDisplayName": {
+            "type": "string",
+            "nullable": true
+          },
+          "description": {
+            "type": "string",
+            "nullable": true
+          },
+          "tags": {
+            "type": "object",
+            "additionalProperties": {
+              "type": "string"
+            },
+            "description": "This is a dictionary",
+            "nullable": true
+          },
+          "properties": {
+            "type": "object",
+            "additionalProperties": {
+              "type": "string"
+            },
+            "description": "This is a dictionary",
+            "nullable": true
+          },
+          "runtimeName": {
+            "type": "string",
+            "nullable": true
+          },
+          "batchDataInput": {
+            "$ref": "#/components/schemas/BatchDataInput"
+          },
+          "inputsMapping": {
+            "type": "object",
+            "additionalProperties": {
+              "type": "string"
+            },
+            "description": "This is a dictionary",
+            "nullable": true
+          },
+          "connections": {
+            "type": "object",
+            "additionalProperties": {
+              "type": "object",
+              "additionalProperties": {
+                "type": "string"
+              },
+              "description": "This is a dictionary"
+            },
+            "description": "This is a dictionary",
+            "nullable": true
+          },
+          "environmentVariables": {
+            "type": "object",
+            "additionalProperties": {
+              "type": "string"
+            },
+            "description": "This is a dictionary",
+            "nullable": true
+          },
+          "outputDataStore": {
+            "type": "string",
+            "nullable": true
+          },
+          "runDisplayNameGenerationType": {
+            "$ref": "#/components/schemas/RunDisplayNameGenerationType"
+          },
+          "collieRunSettings": {
+            "$ref": "#/components/schemas/CollieRunSettings"
+          },
+          "workerCount": {
+            "type": "integer",
+            "format": "int32",
+            "nullable": true
+          },
+          "timeoutInSeconds": {
+            "type": "integer",
+            "format": "int32",
+            "nullable": true
+          },
+          "promptflowEngineType": {
+            "$ref": "#/components/schemas/PromptflowEngineType"
+          },
+          "experimentNodeName": {
+            "type": "string",
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "FlowRunStatusEnum": {
+        "enum": [
+          "Started",
+          "Completed",
+          "Failed",
+          "Cancelled",
+          "NotStarted",
+          "Running",
+          "Queued",
+          "Paused",
+          "Unapproved",
+          "Starting",
+          "Preparing",
+          "CancelRequested",
+          "Pausing",
+          "Finalizing",
+          "Canceled",
+          "Bypassed"
+        ],
+        "type": "string"
+      },
+      "FlowRunStatusResponse": {
+        "type": "object",
+        "properties": {
+          "flowRunStatus": {
+            "$ref": "#/components/schemas/FlowRunStatusEnum"
+          },
+          "lastCheckedTime": {
+            "type": "string",
+            "format": "date-time",
+            "nullable": true
+          },
+          "flowRunCreatedTime": {
+            "type": "string",
+            "format": "date-time"
+          }
+        },
+        "additionalProperties": false
+      },
+      "FlowRunTypeEnum": {
+        "enum": [
+          "FlowRun",
+          "EvaluationRun",
+          "PairwiseEvaluationRun",
+          "SingleNodeRun",
+          "FromNodeRun"
+        ],
+        "type": "string"
+      },
+      "FlowRuntimeCapability": {
+        "type": "object",
+        "properties": {
+          "flowFeatures": {
+            "type": "array",
+            "items": {
+              "$ref": "#/components/schemas/FlowFeature"
+            },
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "FlowRuntimeDto": {
+        "type": "object",
+        "properties": {
+          "runtimeName": {
+            "type": "string",
+            "nullable": true
+          },
+          "runtimeDescription": {
+            "type": "string",
+            "nullable": true
+          },
+          "runtimeType": {
+            "$ref": "#/components/schemas/RuntimeType"
+          },
+          "environment": {
+            "type": "string",
+            "nullable": true
+          },
+          "status": {
+            "$ref": "#/components/schemas/RuntimeStatusEnum"
+          },
+          "statusMessage": {
+            "type": "string",
+            "nullable": true
+          },
+          "error": {
+            "$ref": "#/components/schemas/ErrorResponse"
+          },
+          "fromExistingEndpoint": {
+            "type": "boolean"
+          },
+          "endpointName": {
+            "type": "string",
+            "nullable": true
+          },
+          "fromExistingDeployment": {
+            "type": "boolean"
+          },
+          "deploymentName": {
+            "type": "string",
+            "nullable": true
+          },
+          "identity": {
+            "$ref": "#/components/schemas/ManagedServiceIdentity"
+          },
+          "instanceType": {
+            "type": "string",
+            "nullable": true
+          },
+          "instanceCount": {
+            "type": "integer",
+            "format": "int32"
+          },
+          "computeInstanceName": {
+            "type": "string",
+            "nullable": true
+          },
+          "dockerImage": {
+            "type": "string",
+            "nullable": true
+          },
+          "publishedPort": {
+            "type": "integer",
+            "format": "int32"
+          },
+          "targetPort": {
+            "type": "integer",
+            "format": "int32"
+          },
+          "fromExistingCustomApp": {
+            "type": "boolean"
+          },
+          "customAppName": {
+            "type": "string",
+            "nullable": true
+          },
+          "assignedTo": {
+            "$ref": "#/components/schemas/AssignedUser"
+          },
+          "endpointUrl": {
+            "type": "string",
+            "nullable": true
+          },
+          "createdOn": {
+            "type": "string",
+            "format": "date-time"
+          },
+          "modifiedOn": {
+            "type": "string",
+            "format": "date-time"
+          },
+          "owner": {
+            "$ref": "#/components/schemas/SchemaContractsCreatedBy"
+          }
+        },
+        "additionalProperties": false
+      },
+      "FlowSessionDto": {
+        "type": "object",
+        "properties": {
+          "sessionId": {
+            "type": "string",
+            "nullable": true
+          },
+          "baseImage": {
+            "type": "string",
+            "nullable": true
+          },
+          "packages": {
+            "type": "array",
+            "items": {
+              "type": "string"
+            },
+            "nullable": true
+          },
+          "vmSize": {
+            "type": "string",
+            "nullable": true
+          },
+          "maxIdleTimeSeconds": {
+            "type": "integer",
+            "format": "int64",
+            "nullable": true
+          },
+          "computeName": {
+            "type": "string",
+            "nullable": true
+          },
+          "flowFeatures": {
+            "type": "array",
+            "items": {
+              "$ref": "#/components/schemas/FlowFeature"
+            },
+            "nullable": true
+          },
+          "runtimeName": {
+            "type": "string",
+            "nullable": true
+          },
+          "runtimeDescription": {
+            "type": "string",
+            "nullable": true
+          },
+          "runtimeType": {
+            "$ref": "#/components/schemas/RuntimeType"
+          },
+          "environment": {
+            "type": "string",
+            "nullable": true
+          },
+          "status": {
+            "$ref": "#/components/schemas/RuntimeStatusEnum"
+          },
+          "statusMessage": {
+            "type": "string",
+            "nullable": true
+          },
+          "error": {
+            "$ref": "#/components/schemas/ErrorResponse"
+          },
+          "fromExistingEndpoint": {
+            "type": "boolean"
+          },
+          "endpointName": {
+            "type": "string",
+            "nullable": true
+          },
+          "fromExistingDeployment": {
+            "type": "boolean"
+          },
+          "deploymentName": {
+            "type": "string",
+            "nullable": true
+          },
+          "identity": {
+            "$ref": "#/components/schemas/ManagedServiceIdentity"
+          },
+          "instanceType": {
+            "type": "string",
+            "nullable": true
+          },
+          "instanceCount": {
+            "type": "integer",
+            "format": "int32"
+          },
+          "computeInstanceName": {
+            "type": "string",
+            "nullable": true
+          },
+          "dockerImage": {
+            "type": "string",
+            "nullable": true
+          },
+          "publishedPort": {
+            "type": "integer",
+            "format": "int32"
+          },
+          "targetPort": {
+            "type": "integer",
+            "format": "int32"
+          },
+          "fromExistingCustomApp": {
+            "type": "boolean"
+          },
+          "customAppName": {
+            "type": "string",
+            "nullable": true
+          },
+          "assignedTo": {
+            "$ref": "#/components/schemas/AssignedUser"
+          },
+          "endpointUrl": {
+            "type": "string",
+            "nullable": true
+          },
+          "createdOn": {
+            "type": "string",
+            "format": "date-time"
+          },
+          "modifiedOn": {
+            "type": "string",
+            "format": "date-time"
+          },
+          "owner": {
+            "$ref": "#/components/schemas/SchemaContractsCreatedBy"
+          }
+        },
+        "additionalProperties": false
+      },
+      "FlowSnapshot": {
+        "type": "object",
+        "properties": {
+          "inputs": {
+            "type": "object",
+            "additionalProperties": {
+              "$ref": "#/components/schemas/FlowInputDefinition"
+            },
+            "description": "This is a dictionary",
+            "nullable": true
+          },
+          "outputs": {
+            "type": "object",
+            "additionalProperties": {
+              "$ref": "#/components/schemas/FlowOutputDefinition"
+            },
+            "description": "This is a dictionary",
+            "nullable": true
+          },
+          "nodes": {
+            "type": "array",
+            "items": {
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+            "type": "object",
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+              "$ref": "#/components/schemas/FlowNodeVariant"
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+            "nullable": true
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+            "$ref": "#/components/schemas/FlowEnvironment"
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+            "additionalProperties": { },
+            "description": "This is a dictionary",
+            "nullable": true
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+          "language": {
+            "$ref": "#/components/schemas/FlowLanguage"
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+            "description": "This is a dictionary",
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+            "$ref": "#/components/schemas/FlowRunMode"
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+            "description": "This is a dictionary",
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+              "items": {
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+            "description": "This is a dictionary",
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+            "nullable": true
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+              "type": "string"
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+            "$ref": "#/components/schemas/ForecastHorizon"
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+            "type": "array",
+            "items": {
+              "$ref": "#/components/schemas/GraphReferenceNode"
+            },
+            "nullable": true
+          },
+          "controlReferenceNodes": {
+            "type": "array",
+            "items": {
+              "$ref": "#/components/schemas/GraphControlReferenceNode"
+            },
+            "nullable": true
+          },
+          "controlNodes": {
+            "type": "array",
+            "items": {
+              "$ref": "#/components/schemas/GraphControlNode"
+            },
+            "nullable": true
+          },
+          "edges": {
+            "type": "array",
+            "items": {
+              "$ref": "#/components/schemas/GraphEdge"
+            },
+            "nullable": true
+          },
+          "entityInterface": {
+            "$ref": "#/components/schemas/EntityInterface"
+          },
+          "graphLayout": {
+            "$ref": "#/components/schemas/GraphLayout"
+          },
+          "createdBy": {
+            "$ref": "#/components/schemas/CreatedBy"
+          },
+          "lastUpdatedBy": {
+            "$ref": "#/components/schemas/CreatedBy"
+          },
+          "defaultCompute": {
+            "$ref": "#/components/schemas/ComputeSetting"
+          },
+          "defaultDatastore": {
+            "$ref": "#/components/schemas/DatastoreSetting"
+          },
+          "defaultCloudPriority": {
+            "$ref": "#/components/schemas/CloudPrioritySetting"
+          },
+          "extendedProperties": {
+            "type": "object",
+            "additionalProperties": {
+              "type": "string"
+            },
+            "description": "This is a dictionary",
+            "nullable": true
+          },
+          "parentSubGraphModuleIds": {
+            "type": "array",
+            "items": {
+              "type": "string"
+            },
+            "nullable": true
+          },
+          "id": {
+            "type": "string",
+            "nullable": true
+          },
+          "etag": {
+            "type": "string",
+            "nullable": true
+          },
+          "createdDate": {
+            "type": "string",
+            "format": "date-time"
+          },
+          "lastModifiedDate": {
+            "type": "string",
+            "format": "date-time"
+          }
+        },
+        "additionalProperties": false
+      },
+      "GraphEdge": {
+        "type": "object",
+        "properties": {
+          "sourceOutputPort": {
+            "$ref": "#/components/schemas/PortInfo"
+          },
+          "destinationInputPort": {
+            "$ref": "#/components/schemas/PortInfo"
+          }
+        },
+        "additionalProperties": false
+      },
+      "GraphLayout": {
+        "type": "object",
+        "properties": {
+          "nodeLayouts": {
+            "type": "object",
+            "additionalProperties": {
+              "$ref": "#/components/schemas/NodeLayout"
+            },
+            "description": "This is a dictionary",
+            "nullable": true
+          },
+          "extendedData": {
+            "type": "string",
+            "nullable": true
+          },
+          "annotationNodes": {
+            "type": "array",
+            "items": {
+              "$ref": "#/components/schemas/GraphAnnotationNode"
+            },
+            "nullable": true
+          },
+          "id": {
+            "type": "string",
+            "nullable": true
+          },
+          "etag": {
+            "type": "string",
+            "nullable": true
+          },
+          "createdDate": {
+            "type": "string",
+            "format": "date-time"
+          },
+          "lastModifiedDate": {
+            "type": "string",
+            "format": "date-time"
+          }
+        },
+        "additionalProperties": false
+      },
+      "GraphLayoutCreationInfo": {
+        "type": "object",
+        "properties": {
+          "nodeLayouts": {
+            "type": "object",
+            "additionalProperties": {
+              "$ref": "#/components/schemas/NodeLayout"
+            },
+            "description": "This is a dictionary",
+            "nullable": true
+          },
+          "extendedData": {
+            "type": "string",
+            "nullable": true
+          },
+          "annotationNodes": {
+            "type": "array",
+            "items": {
+              "$ref": "#/components/schemas/GraphAnnotationNode"
+            },
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "GraphModuleNode": {
+        "type": "object",
+        "properties": {
+          "moduleType": {
+            "$ref": "#/components/schemas/ModuleType"
+          },
+          "runconfig": {
+            "type": "string",
+            "nullable": true
+          },
+          "id": {
+            "type": "string",
+            "nullable": true
+          },
+          "moduleId": {
+            "type": "string",
+            "nullable": true
+          },
+          "comment": {
+            "type": "string",
+            "nullable": true
+          },
+          "name": {
+            "type": "string",
+            "nullable": true
+          },
+          "moduleParameters": {
+            "type": "array",
+            "items": {
+              "$ref": "#/components/schemas/ParameterAssignment"
+            },
+            "nullable": true
+          },
+          "moduleMetadataParameters": {
+            "type": "array",
+            "items": {
+              "$ref": "#/components/schemas/ParameterAssignment"
+            },
+            "nullable": true
+          },
+          "moduleOutputSettings": {
+            "type": "array",
+            "items": {
+              "$ref": "#/components/schemas/OutputSetting"
+            },
+            "nullable": true
+          },
+          "moduleInputSettings": {
+            "type": "array",
+            "items": {
+              "$ref": "#/components/schemas/InputSetting"
+            },
+            "nullable": true
+          },
+          "useGraphDefaultCompute": {
+            "type": "boolean"
+          },
+          "useGraphDefaultDatastore": {
+            "type": "boolean"
+          },
+          "regenerateOutput": {
+            "type": "boolean"
+          },
+          "controlInputs": {
+            "type": "array",
+            "items": {
+              "$ref": "#/components/schemas/ControlInput"
+            },
+            "nullable": true
+          },
+          "cloudSettings": {
+            "$ref": "#/components/schemas/CloudSettings"
+          },
+          "executionPhase": {
+            "$ref": "#/components/schemas/ExecutionPhase"
+          },
+          "runAttribution": {
+            "type": "string",
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "GraphModuleNodeRunSetting": {
+        "type": "object",
+        "properties": {
+          "nodeId": {
+            "type": "string",
+            "nullable": true
+          },
+          "moduleId": {
+            "type": "string",
+            "nullable": true
+          },
+          "stepType": {
+            "type": "string",
+            "nullable": true
+          },
+          "runSettings": {
+            "type": "array",
+            "items": {
+              "$ref": "#/components/schemas/RunSettingParameterAssignment"
+            },
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "GraphModuleNodeUIInputSetting": {
+        "type": "object",
+        "properties": {
+          "nodeId": {
+            "type": "string",
+            "nullable": true
+          },
+          "moduleId": {
+            "type": "string",
+            "nullable": true
+          },
+          "moduleInputSettings": {
+            "type": "array",
+            "items": {
+              "$ref": "#/components/schemas/UIInputSetting"
+            },
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "GraphNodeStatusInfo": {
+        "type": "object",
+        "properties": {
+          "status": {
+            "$ref": "#/components/schemas/TaskStatusCode"
+          },
+          "runStatus": {
+            "$ref": "#/components/schemas/RunStatus"
+          },
+          "isBypassed": {
+            "type": "boolean"
+          },
+          "hasFailedChildRun": {
+            "type": "boolean"
+          },
+          "partiallyExecuted": {
+            "type": "boolean"
+          },
+          "properties": {
+            "type": "object",
+            "additionalProperties": {
+              "type": "string"
+            },
+            "description": "This is a dictionary",
+            "nullable": true
+          },
+          "aetherStartTime": {
+            "type": "string",
+            "format": "date-time",
+            "nullable": true
+          },
+          "aetherEndTime": {
+            "type": "string",
+            "format": "date-time",
+            "nullable": true
+          },
+          "aetherCreationTime": {
+            "type": "string",
+            "format": "date-time",
+            "nullable": true
+          },
+          "runHistoryStartTime": {
+            "type": "string",
+            "format": "date-time",
+            "nullable": true
+          },
+          "runHistoryEndTime": {
+            "type": "string",
+            "format": "date-time",
+            "nullable": true
+          },
+          "runHistoryCreationTime": {
+            "type": "string",
+            "format": "date-time",
+            "nullable": true
+          },
+          "reuseInfo": {
+            "$ref": "#/components/schemas/TaskReuseInfo"
+          },
+          "controlFlowInfo": {
+            "$ref": "#/components/schemas/TaskControlFlowInfo"
+          },
+          "statusCode": {
+            "$ref": "#/components/schemas/TaskStatusCode"
+          },
+          "statusDetail": {
+            "type": "string",
+            "nullable": true
+          },
+          "creationTime": {
+            "type": "string",
+            "format": "date-time"
+          },
+          "scheduleTime": {
+            "type": "string",
+            "format": "date-time",
+            "nullable": true
+          },
+          "startTime": {
+            "type": "string",
+            "format": "date-time",
+            "nullable": true
+          },
+          "endTime": {
+            "type": "string",
+            "format": "date-time",
+            "nullable": true
+          },
+          "requestId": {
+            "type": "string",
+            "nullable": true
+          },
+          "runId": {
+            "type": "string",
+            "nullable": true
+          },
+          "dataContainerId": {
+            "type": "string",
+            "nullable": true
+          },
+          "realTimeLogPath": {
+            "type": "string",
+            "nullable": true
+          },
+          "hasWarnings": {
+            "type": "boolean"
+          },
+          "compositeNodeId": {
+            "type": "string",
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "GraphReferenceNode": {
+        "type": "object",
+        "properties": {
+          "graphId": {
+            "type": "string",
+            "nullable": true
+          },
+          "defaultCompute": {
+            "$ref": "#/components/schemas/ComputeSetting"
+          },
+          "defaultDatastore": {
+            "$ref": "#/components/schemas/DatastoreSetting"
+          },
+          "id": {
+            "type": "string",
+            "nullable": true
+          },
+          "moduleId": {
+            "type": "string",
+            "nullable": true
+          },
+          "comment": {
+            "type": "string",
+            "nullable": true
+          },
+          "name": {
+            "type": "string",
+            "nullable": true
+          },
+          "moduleParameters": {
+            "type": "array",
+            "items": {
+              "$ref": "#/components/schemas/ParameterAssignment"
+            },
+            "nullable": true
+          },
+          "moduleMetadataParameters": {
+            "type": "array",
+            "items": {
+              "$ref": "#/components/schemas/ParameterAssignment"
+            },
+            "nullable": true
+          },
+          "moduleOutputSettings": {
+            "type": "array",
+            "items": {
+              "$ref": "#/components/schemas/OutputSetting"
+            },
+            "nullable": true
+          },
+          "moduleInputSettings": {
+            "type": "array",
+            "items": {
+              "$ref": "#/components/schemas/InputSetting"
+            },
+            "nullable": true
+          },
+          "useGraphDefaultCompute": {
+            "type": "boolean"
+          },
+          "useGraphDefaultDatastore": {
+            "type": "boolean"
+          },
+          "regenerateOutput": {
+            "type": "boolean"
+          },
+          "controlInputs": {
+            "type": "array",
+            "items": {
+              "$ref": "#/components/schemas/ControlInput"
+            },
+            "nullable": true
+          },
+          "cloudSettings": {
+            "$ref": "#/components/schemas/CloudSettings"
+          },
+          "executionPhase": {
+            "$ref": "#/components/schemas/ExecutionPhase"
+          },
+          "runAttribution": {
+            "type": "string",
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "GraphSdkCodeType": {
+        "enum": [
+          "Python",
+          "JupyterNotebook",
+          "Unknown"
+        ],
+        "type": "string"
+      },
+      "HdfsReference": {
+        "type": "object",
+        "properties": {
+          "amlDataStoreName": {
+            "type": "string",
+            "nullable": true
+          },
+          "relativePath": {
+            "type": "string",
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "HdiClusterComputeInfo": {
+        "type": "object",
+        "properties": {
+          "address": {
+            "type": "string",
+            "nullable": true
+          },
+          "username": {
+            "type": "string",
+            "nullable": true
+          },
+          "password": {
+            "type": "string",
+            "nullable": true
+          },
+          "privateKey": {
+            "type": "string",
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "HdiConfiguration": {
+        "type": "object",
+        "properties": {
+          "yarnDeployMode": {
+            "$ref": "#/components/schemas/YarnDeployMode"
+          }
+        },
+        "additionalProperties": false
+      },
+      "HdiRunConfiguration": {
+        "type": "object",
+        "properties": {
+          "file": {
+            "type": "string",
+            "nullable": true
+          },
+          "className": {
+            "type": "string",
+            "nullable": true
+          },
+          "files": {
+            "type": "array",
+            "items": {
+              "type": "string"
+            },
+            "nullable": true
+          },
+          "archives": {
+            "type": "array",
+            "items": {
+              "type": "string"
+            },
+            "nullable": true
+          },
+          "jars": {
+            "type": "array",
+            "items": {
+              "type": "string"
+            },
+            "nullable": true
+          },
+          "pyFiles": {
+            "type": "array",
+            "items": {
+              "type": "string"
+            },
+            "nullable": true
+          },
+          "computeName": {
+            "type": "string",
+            "nullable": true
+          },
+          "queue": {
+            "type": "string",
+            "nullable": true
+          },
+          "driverMemory": {
+            "type": "string",
+            "nullable": true
+          },
+          "driverCores": {
+            "type": "integer",
+            "format": "int32",
+            "nullable": true
+          },
+          "executorMemory": {
+            "type": "string",
+            "nullable": true
+          },
+          "executorCores": {
+            "type": "integer",
+            "format": "int32",
+            "nullable": true
+          },
+          "numberExecutors": {
+            "type": "integer",
+            "format": "int32",
+            "nullable": true
+          },
+          "conf": {
+            "type": "object",
+            "additionalProperties": {
+              "type": "string",
+              "nullable": true
+            },
+            "nullable": true
+          },
+          "name": {
+            "type": "string",
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "HistoryConfiguration": {
+        "type": "object",
+        "properties": {
+          "outputCollection": {
+            "type": "boolean",
+            "default": true
+          },
+          "directoriesToWatch": {
+            "type": "array",
+            "items": {
+              "type": "string"
+            },
+            "default": [
+              "logs"
+            ],
+            "nullable": true
+          },
+          "enableMLflowTracking": {
+            "type": "boolean",
+            "default": true
+          }
+        }
+      },
+      "HttpStatusCode": {
+        "enum": [
+          "Continue",
+          "SwitchingProtocols",
+          "Processing",
+          "EarlyHints",
+          "OK",
+          "Created",
+          "Accepted",
+          "NonAuthoritativeInformation",
+          "NoContent",
+          "ResetContent",
+          "PartialContent",
+          "MultiStatus",
+          "AlreadyReported",
+          "IMUsed",
+          "MultipleChoices",
+          "Ambiguous",
+          "MovedPermanently",
+          "Moved",
+          "Found",
+          "Redirect",
+          "SeeOther",
+          "RedirectMethod",
+          "NotModified",
+          "UseProxy",
+          "Unused",
+          "TemporaryRedirect",
+          "RedirectKeepVerb",
+          "PermanentRedirect",
+          "BadRequest",
+          "Unauthorized",
+          "PaymentRequired",
+          "Forbidden",
+          "NotFound",
+          "MethodNotAllowed",
+          "NotAcceptable",
+          "ProxyAuthenticationRequired",
+          "RequestTimeout",
+          "Conflict",
+          "Gone",
+          "LengthRequired",
+          "PreconditionFailed",
+          "RequestEntityTooLarge",
+          "RequestUriTooLong",
+          "UnsupportedMediaType",
+          "RequestedRangeNotSatisfiable",
+          "ExpectationFailed",
+          "MisdirectedRequest",
+          "UnprocessableEntity",
+          "Locked",
+          "FailedDependency",
+          "UpgradeRequired",
+          "PreconditionRequired",
+          "TooManyRequests",
+          "RequestHeaderFieldsTooLarge",
+          "UnavailableForLegalReasons",
+          "InternalServerError",
+          "NotImplemented",
+          "BadGateway",
+          "ServiceUnavailable",
+          "GatewayTimeout",
+          "HttpVersionNotSupported",
+          "VariantAlsoNegotiates",
+          "InsufficientStorage",
+          "LoopDetected",
+          "NotExtended",
+          "NetworkAuthenticationRequired"
+        ],
+        "type": "string"
+      },
+      "HyperDriveConfiguration": {
+        "type": "object",
+        "properties": {
+          "hyperDriveRunConfig": {
+            "type": "string",
+            "nullable": true
+          },
+          "primaryMetricGoal": {
+            "type": "string",
+            "nullable": true
+          },
+          "primaryMetricName": {
+            "type": "string",
+            "nullable": true
+          },
+          "arguments": {
+            "type": "array",
+            "items": {
+              "$ref": "#/components/schemas/ArgumentAssignment"
+            },
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "IActionResult": {
+        "type": "object",
+        "additionalProperties": false
+      },
+      "ICheckableLongRunningOperationResponse": {
+        "type": "object",
+        "properties": {
+          "completionResult": {
+            "$ref": "#/components/schemas/LongRunningNullResponse"
+          },
+          "location": {
+            "type": "string",
+            "format": "uri",
+            "nullable": true
+          },
+          "operationResult": {
+            "type": "string",
+            "format": "uri",
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "IdentityConfiguration": {
+        "type": "object",
+        "properties": {
+          "type": {
+            "$ref": "#/components/schemas/IdentityType"
+          },
+          "properties": {
+            "type": "object",
+            "additionalProperties": {
+              "type": "string"
+            },
+            "description": "This is a dictionary",
+            "nullable": true
+          },
+          "secret": {
+            "type": "string",
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "IdentitySetting": {
+        "type": "object",
+        "properties": {
+          "type": {
+            "$ref": "#/components/schemas/AEVAIdentityType"
+          },
+          "clientId": {
+            "type": "string",
+            "format": "uuid",
+            "nullable": true
+          },
+          "objectId": {
+            "type": "string",
+            "format": "uuid",
+            "nullable": true
+          },
+          "msiResourceId": {
+            "type": "string",
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "IdentityType": {
+        "enum": [
+          "Managed",
+          "ServicePrincipal",
+          "AMLToken"
+        ],
+        "type": "string"
+      },
+      "ImportDataTask": {
+        "type": "object",
+        "properties": {
+          "DataTransferSource": {
+            "$ref": "#/components/schemas/DataTransferSource"
+          }
+        },
+        "additionalProperties": false
+      },
+      "IndexedErrorResponse": {
+        "type": "object",
+        "properties": {
+          "code": {
+            "type": "string",
+            "nullable": true
+          },
+          "errorCodeHierarchy": {
+            "type": "string",
+            "nullable": true
+          },
+          "message": {
+            "type": "string",
+            "nullable": true
+          },
+          "time": {
+            "type": "string",
+            "format": "date-time",
+            "nullable": true
+          },
+          "componentName": {
+            "type": "string",
+            "nullable": true
+          },
+          "severity": {
+            "type": "integer",
+            "format": "int32",
+            "nullable": true
+          },
+          "detailsUri": {
+            "type": "string",
+            "format": "uri",
+            "nullable": true
+          },
+          "referenceCode": {
+            "type": "string",
+            "nullable": true
+          }
+        }
+      },
+      "InitScriptInfoDto": {
+        "type": "object",
+        "properties": {
+          "dbfs": {
+            "$ref": "#/components/schemas/DbfsStorageInfoDto"
+          }
+        },
+        "additionalProperties": false
+      },
+      "InnerErrorDetails": {
+        "type": "object",
+        "properties": {
+          "code": {
+            "type": "string",
+            "nullable": true
+          },
+          "message": {
+            "type": "string",
+            "nullable": true
+          },
+          "target": {
+            "type": "string",
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "InnerErrorResponse": {
+        "type": "object",
+        "properties": {
+          "code": {
+            "type": "string",
+            "description": "The error code.",
+            "nullable": true
+          },
+          "innerError": {
+            "$ref": "#/components/schemas/InnerErrorResponse"
+          }
+        },
+        "additionalProperties": false,
+        "description": "A nested structure of errors."
+      },
+      "InputAsset": {
+        "type": "object",
+        "properties": {
+          "asset": {
+            "$ref": "#/components/schemas/Asset"
+          },
+          "mechanism": {
+            "$ref": "#/components/schemas/DeliveryMechanism"
+          },
+          "environmentVariableName": {
+            "type": "string",
+            "nullable": true
+          },
+          "pathOnCompute": {
+            "type": "string",
+            "nullable": true
+          },
+          "overwrite": {
+            "type": "boolean"
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+            "type": "string",
+            "format": "uuid"
+          },
+          "tenantId": {
+            "type": "string",
+            "format": "uuid"
+          },
+          "userAssignedIdentities": {
+            "type": "object",
+            "additionalProperties": {
+              "$ref": "#/components/schemas/UserAssignedIdentity"
+            },
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "ManagedServiceIdentityType": {
+        "enum": [
+          "SystemAssigned",
+          "UserAssigned",
+          "SystemAssignedUserAssigned",
+          "None"
+        ],
+        "type": "string"
+      },
+      "MavenLibraryDto": {
+        "type": "object",
+        "properties": {
+          "coordinates": {
+            "type": "string",
+            "nullable": true
+          },
+          "repo": {
+            "type": "string",
+            "nullable": true
+          },
+          "exclusions": {
+            "type": "array",
+            "items": {
+              "type": "string"
+            },
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "MetricProperties": {
+        "type": "object",
+        "properties": {
+          "uxMetricType": {
+            "type": "string",
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "MetricSchemaDto": {
+        "type": "object",
+        "properties": {
+          "numProperties": {
+            "type": "integer",
+            "format": "int32"
+          },
+          "properties": {
+            "type": "array",
+            "items": {
+              "$ref": "#/components/schemas/MetricSchemaPropertyDto"
+            },
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "MetricSchemaPropertyDto": {
+        "type": "object",
+        "properties": {
+          "propertyId": {
+            "type": "string",
+            "nullable": true
+          },
+          "name": {
+            "type": "string",
+            "nullable": true
+          },
+          "type": {
+            "type": "string",
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "MetricV2Dto": {
+        "type": "object",
+        "properties": {
+          "dataContainerId": {
+            "type": "string",
+            "nullable": true
+          },
+          "name": {
+            "type": "string",
+            "nullable": true
+          },
+          "columns": {
+            "type": "object",
+            "additionalProperties": {
+              "$ref": "#/components/schemas/MetricValueType"
+            },
+            "description": "This is a dictionary",
+            "nullable": true
+          },
+          "properties": {
+            "$ref": "#/components/schemas/MetricProperties"
+          },
+          "namespace": {
+            "type": "string",
+            "nullable": true
+          },
+          "standardSchemaId": {
+            "type": "string",
+            "format": "uuid",
+            "nullable": true
+          },
+          "value": {
+            "type": "array",
+            "items": {
+              "$ref": "#/components/schemas/MetricV2Value"
+            },
+            "nullable": true
+          },
+          "continuationToken": {
+            "type": "string",
+            "description": "The token used in retrieving the next page. If null, there are no additional pages.",
+            "nullable": true
+          },
+          "nextLink": {
+            "type": "string",
+            "description": "The link to the next page constructed using the continuationToken.  If null, there are no additional pages.",
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "MetricV2Value": {
+        "type": "object",
+        "properties": {
+          "metricId": {
+            "type": "string",
+            "nullable": true
+          },
+          "createdUtc": {
+            "type": "string",
+            "format": "date-time"
+          },
+          "step": {
+            "type": "integer",
+            "format": "int64",
+            "nullable": true
+          },
+          "data": {
+            "type": "object",
+            "additionalProperties": {
+              "nullable": true
+            },
+            "nullable": true
+          },
+          "sasUri": {
+            "type": "string",
+            "format": "uri",
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "MetricValueType": {
+        "enum": [
+          "Int",
+          "Double",
+          "String",
+          "Bool",
+          "Artifact",
+          "Histogram",
+          "Malformed"
+        ],
+        "type": "string"
+      },
+      "MfeInternalAutologgerSettings": {
+        "type": "object",
+        "properties": {
+          "mlflowAutologger": {
+            "$ref": "#/components/schemas/MfeInternalMLFlowAutologgerState"
+          }
+        },
+        "additionalProperties": false
+      },
+      "MfeInternalIdentityConfiguration": {
+        "type": "object",
+        "properties": {
+          "identityType": {
+            "$ref": "#/components/schemas/MfeInternalIdentityType"
+          }
+        },
+        "additionalProperties": false
+      },
+      "MfeInternalIdentityType": {
+        "enum": [
+          "Managed",
+          "AMLToken",
+          "UserIdentity"
+        ],
+        "type": "string"
+      },
+      "MfeInternalMLFlowAutologgerState": {
+        "enum": [
+          "Enabled",
+          "Disabled"
+        ],
+        "type": "string"
+      },
+      "MfeInternalNodes": {
+        "type": "object",
+        "properties": {
+          "nodesValueType": {
+            "$ref": "#/components/schemas/MfeInternalNodesValueType"
+          }
+        },
+        "additionalProperties": false
+      },
+      "MfeInternalNodesValueType": {
+        "enum": [
+          "All"
+        ],
+        "type": "string"
+      },
+      "MfeInternalOutputData": {
+        "type": "object",
+        "properties": {
+          "datasetName": {
+            "type": "string",
+            "nullable": true
+          },
+          "datastore": {
+            "type": "string",
+            "nullable": true
+          },
+          "datapath": {
+            "type": "string",
+            "nullable": true
+          },
+          "mode": {
+            "$ref": "#/components/schemas/DataBindingMode"
+          }
+        },
+        "additionalProperties": false
+      },
+      "MfeInternalPipelineType": {
+        "enum": [
+          "AzureML"
+        ],
+        "type": "string"
+      },
+      "MfeInternalScheduleStatus": {
+        "enum": [
+          "Enabled",
+          "Disabled"
+        ],
+        "type": "string"
+      },
+      "MfeInternalSecretConfiguration": {
+        "type": "object",
+        "properties": {
+          "workspaceSecretName": {
+            "type": "string",
+            "nullable": true
+          },
+          "uri": {
+            "type": "string",
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "MfeInternalUriReference": {
+        "type": "object",
+        "properties": {
+          "file": {
+            "type": "string",
+            "nullable": true
+          },
+          "folder": {
+            "type": "string",
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "MfeInternalV20211001ComponentJob": {
+        "type": "object",
+        "properties": {
+          "computeId": {
+            "type": "string",
+            "nullable": true
+          },
+          "componentId": {
+            "type": "string",
+            "nullable": true
+          },
+          "inputs": {
+            "type": "object",
+            "additionalProperties": {
+              "$ref": "#/components/schemas/JobInput"
+            },
+            "description": "This is a dictionary",
+            "nullable": true
+          },
+          "outputs": {
+            "type": "object",
+            "additionalProperties": {
+              "$ref": "#/components/schemas/JobOutput"
+            },
+            "description": "This is a dictionary",
+            "nullable": true
+          },
+          "overrides": {
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "MinMaxParameterRule": {
+        "type": "object",
+        "properties": {
+          "min": {
+            "type": "number",
+            "format": "double",
+            "nullable": true
+          },
+          "max": {
+            "type": "number",
+            "format": "double",
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "MlcComputeInfo": {
+        "type": "object",
+        "properties": {
+          "mlcComputeType": {
+            "type": "string",
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "ModelDto": {
+        "type": "object",
+        "properties": {
+          "feedName": {
+            "type": "string",
+            "nullable": true
+          },
+          "name": {
+            "type": "string",
+            "nullable": true
+          },
+          "description": {
+            "type": "string",
+            "nullable": true
+          },
+          "amlDataStoreName": {
+            "type": "string",
+            "nullable": true
+          },
+          "relativePath": {
+            "type": "string",
+            "nullable": true
+          },
+          "id": {
+            "type": "string",
+            "nullable": true
+          },
+          "version": {
+            "type": "string",
+            "nullable": true
+          },
+          "systemData": {
+            "$ref": "#/components/schemas/SystemData"
+          },
+          "armId": {
+            "type": "string",
+            "nullable": true
+          },
+          "onlineEndpointYamlStr": {
+            "type": "string",
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "ModelManagementErrorResponse": {
+        "type": "object",
+        "properties": {
+          "code": {
+            "type": "string",
+            "nullable": true
+          },
+          "statusCode": {
+            "type": "integer",
+            "format": "int32"
+          },
+          "message": {
+            "type": "string",
+            "nullable": true
+          },
+          "target": {
+            "type": "string",
+            "nullable": true
+          },
+          "details": {
+            "type": "array",
+            "items": {
+              "$ref": "#/components/schemas/InnerErrorDetails"
+            },
+            "nullable": true
+          },
+          "correlation": {
+            "type": "object",
+            "additionalProperties": {
+              "type": "string"
+            },
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "ModifyPipelineJobScheduleDto": {
+        "type": "object",
+        "properties": {
+          "pipelineJobName": {
+            "type": "string",
+            "nullable": true
+          },
+          "pipelineJobRuntimeSettings": {
+            "$ref": "#/components/schemas/PipelineJobRuntimeBasicSettings"
+          },
+          "displayName": {
+            "type": "string",
+            "nullable": true
+          },
+          "triggerType": {
+            "$ref": "#/components/schemas/TriggerType"
+          },
+          "recurrence": {
+            "$ref": "#/components/schemas/Recurrence"
+          },
+          "cron": {
+            "$ref": "#/components/schemas/Cron"
+          },
+          "status": {
+            "$ref": "#/components/schemas/ScheduleStatus"
+          },
+          "description": {
+            "type": "string",
+            "nullable": true
+          },
+          "tags": {
+            "type": "object",
+            "additionalProperties": {
+              "type": "string"
+            },
+            "description": "This is a dictionary",
+            "nullable": true
+          },
+          "properties": {
+            "type": "object",
+            "additionalProperties": {
+              "type": "string"
+            },
+            "description": "This is a dictionary",
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "ModuleDto": {
+        "type": "object",
+        "properties": {
+          "namespace": {
+            "type": "string",
+            "nullable": true
+          },
+          "tags": {
+            "type": "array",
+            "items": {
+              "type": "string"
+            },
+            "nullable": true
+          },
+          "displayName": {
+            "type": "string",
+            "nullable": true
+          },
+          "dictTags": {
+            "type": "object",
+            "additionalProperties": {
+              "type": "string",
+              "nullable": true
+            },
+            "nullable": true
+          },
+          "moduleVersionId": {
+            "type": "string",
+            "nullable": true
+          },
+          "feedName": {
+            "type": "string",
+            "nullable": true
+          },
+          "registryName": {
+            "type": "string",
+            "nullable": true
+          },
+          "moduleName": {
+            "type": "string",
+            "nullable": true
+          },
+          "moduleVersion": {
+            "type": "string",
+            "nullable": true
+          },
+          "description": {
+            "type": "string",
+            "nullable": true
+          },
+          "owner": {
+            "type": "string",
+            "nullable": true
+          },
+          "jobType": {
+            "type": "string",
+            "nullable": true
+          },
+          "defaultVersion": {
+            "type": "string",
+            "nullable": true
+          },
+          "familyId": {
+            "type": "string",
+            "nullable": true
+          },
+          "helpDocument": {
+            "type": "string",
+            "nullable": true
+          },
+          "codegenBy": {
+            "type": "string",
+            "nullable": true
+          },
+          "armId": {
+            "type": "string",
+            "nullable": true
+          },
+          "moduleScope": {
+            "$ref": "#/components/schemas/ModuleScope"
+          },
+          "moduleEntity": {
+            "$ref": "#/components/schemas/ModuleEntity"
+          },
+          "inputTypes": {
+            "type": "array",
+            "items": {
+              "type": "string"
+            },
+            "nullable": true
+          },
+          "outputTypes": {
+            "type": "array",
+            "items": {
+              "type": "string"
+            },
+            "nullable": true
+          },
+          "entityStatus": {
+            "$ref": "#/components/schemas/EntityStatus"
+          },
+          "createdDate": {
+            "type": "string",
+            "format": "date-time"
+          },
+          "lastModifiedDate": {
+            "type": "string",
+            "format": "date-time"
+          },
+          "yamlLink": {
+            "type": "string",
+            "nullable": true
+          },
+          "yamlLinkWithCommitSha": {
+            "type": "string",
+            "nullable": true
+          },
+          "moduleSourceType": {
+            "$ref": "#/components/schemas/ModuleSourceType"
+          },
+          "registeredBy": {
+            "type": "string",
+            "nullable": true
+          },
+          "versions": {
+            "type": "array",
+            "items": {
+              "$ref": "#/components/schemas/AzureMLModuleVersionDescriptor"
+            },
+            "nullable": true
+          },
+          "isDefaultModuleVersion": {
+            "type": "boolean",
+            "nullable": true
+          },
+          "systemData": {
+            "$ref": "#/components/schemas/SystemData"
+          },
+          "systemMeta": {
+            "$ref": "#/components/schemas/SystemMeta"
+          },
+          "snapshotId": {
+            "type": "string",
+            "nullable": true
+          },
+          "entry": {
+            "type": "string",
+            "nullable": true
+          },
+          "osType": {
+            "type": "string",
+            "nullable": true
+          },
+          "requireGpu": {
+            "type": "boolean",
+            "nullable": true
+          },
+          "modulePythonInterface": {
+            "$ref": "#/components/schemas/ModulePythonInterface"
+          },
+          "environmentAssetId": {
+            "type": "string",
+            "nullable": true
+          },
+          "runSettingParameters": {
+            "type": "array",
+            "items": {
+              "$ref": "#/components/schemas/RunSettingParameter"
+            },
+            "nullable": true
+          },
+          "supportedUIInputDataDeliveryModes": {
+            "type": "object",
+            "additionalProperties": {
+              "type": "array",
+              "items": {
+                "$ref": "#/components/schemas/UIInputDataDeliveryMode"
+              },
+              "nullable": true
+            },
+            "nullable": true
+          },
+          "outputSettingSpecs": {
+            "type": "object",
+            "additionalProperties": {
+              "$ref": "#/components/schemas/OutputSettingSpec"
+            },
+            "nullable": true
+          },
+          "yamlStr": {
+            "type": "string",
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "ModuleDtoFields": {
+        "enum": [
+          "Definition",
+          "YamlStr",
+          "RegistrationContext",
+          "RunSettingParameters",
+          "RunDefinition",
+          "All",
+          "Default",
+          "Basic",
+          "Minimal"
+        ],
+        "type": "string"
+      },
+      "ModuleDtoWithErrors": {
+        "type": "object",
+        "properties": {
+          "versionIdToModuleDto": {
+            "type": "object",
+            "additionalProperties": {
+              "$ref": "#/components/schemas/ModuleDto"
+            },
+            "description": "This is a dictionary",
+            "nullable": true
+          },
+          "nameAndVersionToModuleDto": {
+            "type": "array",
+            "items": {
+              "$ref": "#/components/schemas/KeyValuePairComponentNameMetaInfoModuleDto"
+            },
+            "nullable": true
+          },
+          "versionIdToError": {
+            "type": "object",
+            "additionalProperties": {
+              "$ref": "#/components/schemas/ErrorResponse"
+            },
+            "description": "This is a dictionary",
+            "nullable": true
+          },
+          "nameAndVersionToError": {
+            "type": "array",
+            "items": {
+              "$ref": "#/components/schemas/KeyValuePairComponentNameMetaInfoErrorResponse"
+            },
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "ModuleDtoWithValidateStatus": {
+        "type": "object",
+        "properties": {
+          "existingModuleEntity": {
+            "$ref": "#/components/schemas/ModuleEntity"
+          },
+          "status": {
+            "$ref": "#/components/schemas/ModuleInfoFromYamlStatusEnum"
+          },
+          "statusDetails": {
+            "type": "string",
+            "nullable": true
+          },
+          "errorDetails": {
+            "type": "array",
+            "items": {
+              "type": "string"
+            },
+            "nullable": true
+          },
+          "serializedModuleInfo": {
+            "type": "string",
+            "nullable": true
+          },
+          "namespace": {
+            "type": "string",
+            "nullable": true
+          },
+          "tags": {
+            "type": "array",
+            "items": {
+              "type": "string"
+            },
+            "nullable": true
+          },
+          "displayName": {
+            "type": "string",
+            "nullable": true
+          },
+          "dictTags": {
+            "type": "object",
+            "additionalProperties": {
+              "type": "string",
+              "nullable": true
+            },
+            "nullable": true
+          },
+          "moduleVersionId": {
+            "type": "string",
+            "nullable": true
+          },
+          "feedName": {
+            "type": "string",
+            "nullable": true
+          },
+          "registryName": {
+            "type": "string",
+            "nullable": true
+          },
+          "moduleName": {
+            "type": "string",
+            "nullable": true
+          },
+          "moduleVersion": {
+            "type": "string",
+            "nullable": true
+          },
+          "description": {
+            "type": "string",
+            "nullable": true
+          },
+          "owner": {
+            "type": "string",
+            "nullable": true
+          },
+          "jobType": {
+            "type": "string",
+            "nullable": true
+          },
+          "defaultVersion": {
+            "type": "string",
+            "nullable": true
+          },
+          "familyId": {
+            "type": "string",
+            "nullable": true
+          },
+          "helpDocument": {
+            "type": "string",
+            "nullable": true
+          },
+          "codegenBy": {
+            "type": "string",
+            "nullable": true
+          },
+          "armId": {
+            "type": "string",
+            "nullable": true
+          },
+          "moduleScope": {
+            "$ref": "#/components/schemas/ModuleScope"
+          },
+          "moduleEntity": {
+            "$ref": "#/components/schemas/ModuleEntity"
+          },
+          "inputTypes": {
+            "type": "array",
+            "items": {
+              "type": "string"
+            },
+            "nullable": true
+          },
+          "outputTypes": {
+            "type": "array",
+            "items": {
+              "type": "string"
+            },
+            "nullable": true
+          },
+          "entityStatus": {
+            "$ref": "#/components/schemas/EntityStatus"
+          },
+          "createdDate": {
+            "type": "string",
+            "format": "date-time"
+          },
+          "lastModifiedDate": {
+            "type": "string",
+            "format": "date-time"
+          },
+          "yamlLink": {
+            "type": "string",
+            "nullable": true
+          },
+          "yamlLinkWithCommitSha": {
+            "type": "string",
+            "nullable": true
+          },
+          "moduleSourceType": {
+            "$ref": "#/components/schemas/ModuleSourceType"
+          },
+          "registeredBy": {
+            "type": "string",
+            "nullable": true
+          },
+          "versions": {
+            "type": "array",
+            "items": {
+              "$ref": "#/components/schemas/AzureMLModuleVersionDescriptor"
+            },
+            "nullable": true
+          },
+          "isDefaultModuleVersion": {
+            "type": "boolean",
+            "nullable": true
+          },
+          "systemData": {
+            "$ref": "#/components/schemas/SystemData"
+          },
+          "systemMeta": {
+            "$ref": "#/components/schemas/SystemMeta"
+          },
+          "snapshotId": {
+            "type": "string",
+            "nullable": true
+          },
+          "entry": {
+            "type": "string",
+            "nullable": true
+          },
+          "osType": {
+            "type": "string",
+            "nullable": true
+          },
+          "requireGpu": {
+            "type": "boolean",
+            "nullable": true
+          },
+          "modulePythonInterface": {
+            "$ref": "#/components/schemas/ModulePythonInterface"
+          },
+          "environmentAssetId": {
+            "type": "string",
+            "nullable": true
+          },
+          "runSettingParameters": {
+            "type": "array",
+            "items": {
+              "$ref": "#/components/schemas/RunSettingParameter"
+            },
+            "nullable": true
+          },
+          "supportedUIInputDataDeliveryModes": {
+            "type": "object",
+            "additionalProperties": {
+              "type": "array",
+              "items": {
+                "$ref": "#/components/schemas/UIInputDataDeliveryMode"
+              },
+              "nullable": true
+            },
+            "nullable": true
+          },
+          "outputSettingSpecs": {
+            "type": "object",
+            "additionalProperties": {
+              "$ref": "#/components/schemas/OutputSettingSpec"
+            },
+            "nullable": true
+          },
+          "yamlStr": {
+            "type": "string",
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "ModuleEntity": {
+        "type": "object",
+        "properties": {
+          "displayName": {
+            "type": "string",
+            "nullable": true
+          },
+          "moduleExecutionType": {
+            "type": "string",
+            "nullable": true
+          },
+          "moduleType": {
+            "$ref": "#/components/schemas/ModuleType"
+          },
+          "moduleTypeVersion": {
+            "type": "string",
+            "nullable": true
+          },
+          "uploadState": {
+            "$ref": "#/components/schemas/UploadState"
+          },
+          "isDeterministic": {
+            "type": "boolean"
+          },
+          "structuredInterface": {
+            "$ref": "#/components/schemas/StructuredInterface"
+          },
+          "dataLocation": {
+            "$ref": "#/components/schemas/DataLocation"
+          },
+          "identifierHash": {
+            "type": "string",
+            "nullable": true
+          },
+          "identifierHashV2": {
+            "type": "string",
+            "nullable": true
+          },
+          "tags": {
+            "type": "object",
+            "additionalProperties": {
+              "type": "string"
+            },
+            "description": "This is a dictionary",
+            "nullable": true
+          },
+          "properties": {
+            "type": "object",
+            "additionalProperties": {
+              "type": "string"
+            },
+            "description": "This is a dictionary",
+            "nullable": true
+          },
+          "createdBy": {
+            "$ref": "#/components/schemas/CreatedBy"
+          },
+          "lastUpdatedBy": {
+            "$ref": "#/components/schemas/CreatedBy"
+          },
+          "runconfig": {
+            "type": "string",
+            "nullable": true
+          },
+          "cloudSettings": {
+            "$ref": "#/components/schemas/CloudSettings"
+          },
+          "category": {
+            "type": "string",
+            "nullable": true
+          },
+          "stepType": {
+            "type": "string",
+            "nullable": true
+          },
+          "stage": {
+            "type": "string",
+            "nullable": true
+          },
+          "name": {
+            "type": "string",
+            "nullable": true
+          },
+          "hash": {
+            "type": "string",
+            "nullable": true
+          },
+          "description": {
+            "type": "string",
+            "nullable": true
+          },
+          "entityStatus": {
+            "$ref": "#/components/schemas/EntityStatus"
+          },
+          "id": {
+            "type": "string",
+            "nullable": true
+          },
+          "etag": {
+            "type": "string",
+            "nullable": true
+          },
+          "createdDate": {
+            "type": "string",
+            "format": "date-time"
+          },
+          "lastModifiedDate": {
+            "type": "string",
+            "format": "date-time"
+          }
+        },
+        "additionalProperties": false
+      },
+      "ModuleInfoFromYamlStatusEnum": {
+        "enum": [
+          "NewModule",
+          "NewVersion",
+          "Conflict",
+          "ParseError",
+          "ProcessRequestError"
+        ],
+        "type": "string"
+      },
+      "ModulePythonInterface": {
+        "type": "object",
+        "properties": {
+          "inputs": {
+            "type": "array",
+            "items": {
+              "$ref": "#/components/schemas/PythonInterfaceMapping"
+            },
+            "nullable": true
+          },
+          "outputs": {
+            "type": "array",
+            "items": {
+              "$ref": "#/components/schemas/PythonInterfaceMapping"
+            },
+            "nullable": true
+          },
+          "parameters": {
+            "type": "array",
+            "items": {
+              "$ref": "#/components/schemas/PythonInterfaceMapping"
+            },
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "ModuleRunSettingTypes": {
+        "enum": [
+          "All",
+          "Released",
+          "Default",
+          "Testing",
+          "Legacy",
+          "Preview",
+          "UxFull",
+          "Integration",
+          "UxIntegration",
+          "Full"
+        ],
+        "type": "string"
+      },
+      "ModuleScope": {
+        "enum": [
+          "All",
+          "Global",
+          "Workspace",
+          "Anonymous",
+          "Step",
+          "Draft",
+          "Feed",
+          "Registry",
+          "SystemAutoCreated"
+        ],
+        "type": "string"
+      },
+      "ModuleSourceType": {
+        "enum": [
+          "Unknown",
+          "Local",
+          "GithubFile",
+          "GithubFolder",
+          "DevopsArtifactsZip",
+          "SerializedModuleInfo"
+        ],
+        "type": "string"
+      },
+      "ModuleType": {
+        "enum": [
+          "None",
+          "BatchInferencing"
+        ],
+        "type": "string"
+      },
+      "ModuleUpdateOperationType": {
+        "enum": [
+          "SetDefaultVersion",
+          "EnableModule",
+          "DisableModule",
+          "UpdateDisplayName",
+          "UpdateDescription",
+          "UpdateTags"
+        ],
+        "type": "string"
+      },
+      "ModuleWorkingMechanism": {
+        "enum": [
+          "Normal",
+          "OutputToDataset"
+        ],
+        "type": "string"
+      },
+      "MpiConfiguration": {
+        "type": "object",
+        "properties": {
+          "processCountPerNode": {
+            "type": "integer",
+            "format": "int32"
+          }
+        },
+        "additionalProperties": false
+      },
+      "NCrossValidationMode": {
+        "enum": [
+          "Auto",
+          "Custom"
+        ],
+        "type": "string"
+      },
+      "NCrossValidations": {
+        "type": "object",
+        "properties": {
+          "mode": {
+            "$ref": "#/components/schemas/NCrossValidationMode"
+          },
+          "value": {
+            "type": "integer",
+            "format": "int32"
+          }
+        },
+        "additionalProperties": false
+      },
+      "Node": {
+        "type": "object",
+        "properties": {
+          "name": {
+            "type": "string",
+            "nullable": true
+          },
+          "type": {
+            "$ref": "#/components/schemas/ToolType"
+          },
+          "source": {
+            "$ref": "#/components/schemas/NodeSource"
+          },
+          "inputs": {
+            "type": "object",
+            "additionalProperties": {
+              "nullable": true
+            },
+            "nullable": true
+          },
+          "tool": {
+            "type": "string",
+            "nullable": true
+          },
+          "reduce": {
+            "type": "boolean"
+          },
+          "activate": {
+            "$ref": "#/components/schemas/Activate"
+          },
+          "use_variants": {
+            "type": "boolean"
+          },
+          "comment": {
+            "type": "string",
+            "nullable": true
+          },
+          "api": {
+            "type": "string",
+            "nullable": true
+          },
+          "provider": {
+            "type": "string",
+            "nullable": true
+          },
+          "connection": {
+            "type": "string",
+            "nullable": true
+          },
+          "module": {
+            "type": "string",
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "NodeCompositionMode": {
+        "enum": [
+          "None",
+          "OnlySequential",
+          "Full"
+        ],
+        "type": "string"
+      },
+      "NodeInputPort": {
+        "type": "object",
+        "properties": {
+          "name": {
+            "type": "string",
+            "nullable": true
+          },
+          "documentation": {
+            "type": "string",
+            "nullable": true
+          },
+          "dataTypesIds": {
+            "type": "array",
+            "items": {
+              "type": "string"
+            },
+            "nullable": true
+          },
+          "isOptional": {
+            "type": "boolean"
+          }
+        },
+        "additionalProperties": false
+      },
+      "NodeLayout": {
+        "type": "object",
+        "properties": {
+          "x": {
+            "type": "number",
+            "format": "float"
+          },
+          "y": {
+            "type": "number",
+            "format": "float"
+          },
+          "width": {
+            "type": "number",
+            "format": "float"
+          },
+          "height": {
+            "type": "number",
+            "format": "float"
+          },
+          "extendedData": {
+            "type": "string",
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "NodeOutputPort": {
+        "type": "object",
+        "properties": {
+          "name": {
+            "type": "string",
+            "nullable": true
+          },
+          "documentation": {
+            "type": "string",
+            "nullable": true
+          },
+          "dataTypeId": {
+            "type": "string",
+            "nullable": true
+          },
+          "passThroughInputName": {
+            "type": "string",
+            "nullable": true
+          },
+          "EarlyAvailable": {
+            "type": "boolean"
+          },
+          "dataStoreMode": {
+            "$ref": "#/components/schemas/AEVADataStoreMode"
+          }
+        },
+        "additionalProperties": false
+      },
+      "NodePortInterface": {
+        "type": "object",
+        "properties": {
+          "inputs": {
+            "type": "array",
+            "items": {
+              "$ref": "#/components/schemas/NodeInputPort"
+            },
+            "nullable": true
+          },
+          "outputs": {
+            "type": "array",
+            "items": {
+              "$ref": "#/components/schemas/NodeOutputPort"
+            },
+            "nullable": true
+          },
+          "controlOutputs": {
+            "type": "array",
+            "items": {
+              "$ref": "#/components/schemas/ControlOutput"
+            },
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "NodeSource": {
+        "type": "object",
+        "properties": {
+          "type": {
+            "type": "string",
+            "nullable": true
+          },
+          "tool": {
+            "type": "string",
+            "nullable": true
+          },
+          "path": {
+            "type": "string",
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "NodeTelemetryMetaInfo": {
+        "type": "object",
+        "properties": {
+          "pipelineRunId": {
+            "type": "string",
+            "nullable": true
+          },
+          "nodeId": {
+            "type": "string",
+            "nullable": true
+          },
+          "versionId": {
+            "type": "string",
+            "nullable": true
+          },
+          "nodeType": {
+            "type": "string",
+            "nullable": true
+          },
+          "nodeSource": {
+            "type": "string",
+            "nullable": true
+          },
+          "isAnonymous": {
+            "type": "boolean"
+          },
+          "isPipelineComponent": {
+            "type": "boolean"
+          }
+        },
+        "additionalProperties": false
+      },
+      "NodeVariant": {
+        "type": "object",
+        "properties": {
+          "variants": {
+            "type": "object",
+            "additionalProperties": {
+              "$ref": "#/components/schemas/VariantNode"
+            },
+            "description": "This is a dictionary",
+            "nullable": true
+          },
+          "defaultVariantId": {
+            "type": "string",
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "Nodes": {
+        "required": [
+          "nodes_value_type"
+        ],
+        "type": "object",
+        "properties": {
+          "nodes_value_type": {
+            "$ref": "#/components/schemas/NodesValueType"
+          },
+          "values": {
+            "type": "array",
+            "items": {
+              "type": "integer",
+              "format": "int32"
+            },
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "NodesValueType": {
+        "enum": [
+          "All",
+          "Custom"
+        ],
+        "type": "string"
+      },
+      "NoteBookTaskDto": {
+        "type": "object",
+        "properties": {
+          "notebook_path": {
+            "type": "string",
+            "nullable": true
+          },
+          "base_parameters": {
+            "type": "object",
+            "additionalProperties": {
+              "type": "string",
+              "nullable": true
+            },
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "NotificationSetting": {
+        "type": "object",
+        "properties": {
+          "emails": {
+            "type": "array",
+            "items": {
+              "type": "string"
+            },
+            "nullable": true
+          },
+          "emailOn": {
+            "type": "array",
+            "items": {
+              "$ref": "#/components/schemas/EmailNotificationEnableType"
+            },
+            "nullable": true
+          },
+          "webhooks": {
+            "type": "object",
+            "additionalProperties": {
+              "$ref": "#/components/schemas/Webhook"
+            },
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "ODataError": {
+        "type": "object",
+        "properties": {
+          "code": {
+            "type": "string",
+            "description": "Gets or sets a language-independent, service-defined error code.\r\nThis code serves as a sub-status for the HTTP error code specified\r\nin the response.",
+            "nullable": true
+          },
+          "message": {
+            "type": "string",
+            "description": "Gets or sets a human-readable, language-dependent representation of the error.\r\nThe `Content-Language` header MUST contain the language code from [RFC5646]\r\ncorresponding to the language in which the value for message is written.",
+            "nullable": true
+          },
+          "target": {
+            "type": "string",
+            "description": "Gets or sets the target of the particular error\r\n(for example, the name of the property in error).",
+            "nullable": true
+          },
+          "details": {
+            "type": "array",
+            "items": {
+              "$ref": "#/components/schemas/ODataErrorDetail"
+            },
+            "description": "Gets or sets additional details about the error.",
+            "nullable": true
+          },
+          "innererror": {
+            "$ref": "#/components/schemas/ODataInnerError"
+          }
+        },
+        "additionalProperties": false,
+        "description": "Represents OData v4 error object."
+      },
+      "ODataErrorDetail": {
+        "type": "object",
+        "properties": {
+          "code": {
+            "type": "string",
+            "description": "Gets or sets a language-independent, service-defined error code.",
+            "nullable": true
+          },
+          "message": {
+            "type": "string",
+            "description": "Gets or sets a human-readable, language-dependent representation of the error.",
+            "nullable": true
+          },
+          "target": {
+            "type": "string",
+            "description": "Gets or sets the target of the particular error\r\n(for example, the name of the property in error).",
+            "nullable": true
+          }
+        },
+        "additionalProperties": false,
+        "description": "Represents additional error details."
+      },
+      "ODataErrorResponse": {
+        "type": "object",
+        "properties": {
+          "error": {
+            "$ref": "#/components/schemas/ODataError"
+          }
+        },
+        "additionalProperties": false,
+        "description": "Represents OData v4 compliant error response message."
+      },
+      "ODataInnerError": {
+        "type": "object",
+        "properties": {
+          "clientRequestId": {
+            "type": "string",
+            "description": "Gets or sets the client provided request ID.",
+            "nullable": true
+          },
+          "serviceRequestId": {
+            "type": "string",
+            "description": "Gets or sets the server generated request ID.",
+            "nullable": true
+          },
+          "trace": {
+            "type": "string",
+            "description": "Gets or sets the exception stack trace.\r\nDO NOT INCLUDE IT IN PRODUCTION ENVIRONMENT.",
+            "nullable": true
+          },
+          "context": {
+            "type": "string",
+            "description": "Gets or sets additional context for the exception.\r\nDO NOT INCLUDE IT IN PRODUCTION ENVIRONMENT.",
+            "nullable": true
+          }
+        },
+        "additionalProperties": false,
+        "description": "The contents of this object are service-defined.\r\nUsually this object contains information that will help debug the service\r\nand SHOULD only be used in development environments in order to guard\r\nagainst potential security concerns around information disclosure."
+      },
+      "Orientation": {
+        "enum": [
+          "Horizontal",
+          "Vertical"
+        ],
+        "type": "string"
+      },
+      "OutputData": {
+        "type": "object",
+        "properties": {
+          "outputLocation": {
+            "$ref": "#/components/schemas/ExecutionDataLocation"
+          },
+          "mechanism": {
+            "$ref": "#/components/schemas/OutputMechanism"
+          },
+          "additionalOptions": {
+            "$ref": "#/components/schemas/OutputOptions"
+          },
+          "environmentVariableName": {
+            "type": "string",
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "OutputDataBinding": {
+        "type": "object",
+        "properties": {
+          "datastoreId": {
+            "type": "string",
+            "nullable": true
+          },
+          "pathOnDatastore": {
+            "type": "string",
+            "nullable": true
+          },
+          "pathOnCompute": {
+            "type": "string",
+            "nullable": true
+          },
+          "description": {
+            "type": "string",
+            "nullable": true
+          },
+          "uri": {
+            "$ref": "#/components/schemas/MfeInternalUriReference"
+          },
+          "mode": {
+            "$ref": "#/components/schemas/DataBindingMode"
+          },
+          "assetUri": {
+            "type": "string",
+            "nullable": true
+          },
+          "isAssetJobOutput": {
+            "type": "boolean",
+            "nullable": true
+          },
+          "jobOutputType": {
+            "$ref": "#/components/schemas/JobOutputType"
+          },
+          "assetName": {
+            "type": "string",
+            "nullable": true
+          },
+          "assetVersion": {
+            "type": "string",
+            "nullable": true
+          },
+          "autoDeleteSetting": {
+            "$ref": "#/components/schemas/AutoDeleteSetting"
+          }
+        },
+        "additionalProperties": false
+      },
+      "OutputDatasetLineage": {
+        "type": "object",
+        "properties": {
+          "identifier": {
+            "$ref": "#/components/schemas/DatasetIdentifier"
+          },
+          "outputType": {
+            "$ref": "#/components/schemas/DatasetOutputType"
+          },
+          "outputDetails": {
+            "$ref": "#/components/schemas/DatasetOutputDetails"
+          }
+        },
+        "additionalProperties": false
+      },
+      "OutputDefinition": {
+        "type": "object",
+        "properties": {
+          "name": {
+            "type": "string",
+            "nullable": true
+          },
+          "type": {
+            "type": "array",
+            "items": {
+              "$ref": "#/components/schemas/ValueType"
+            },
+            "nullable": true
+          },
+          "description": {
+            "type": "string",
+            "nullable": true
+          },
+          "isProperty": {
+            "type": "boolean"
+          }
+        },
+        "additionalProperties": false
+      },
+      "OutputMechanism": {
+        "enum": [
+          "Upload",
+          "Mount",
+          "Hdfs",
+          "Link",
+          "Direct"
+        ],
+        "type": "string"
+      },
+      "OutputOptions": {
+        "type": "object",
+        "properties": {
+          "pathOnCompute": {
+            "type": "string",
+            "nullable": true
+          },
+          "registrationOptions": {
+            "$ref": "#/components/schemas/RegistrationOptions"
+          },
+          "uploadOptions": {
+            "$ref": "#/components/schemas/UploadOptions"
+          },
+          "mountOptions": {
+            "type": "object",
+            "additionalProperties": {
+              "type": "string",
+              "nullable": true
+            },
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "OutputSetting": {
+        "type": "object",
+        "properties": {
+          "name": {
+            "type": "string",
+            "nullable": true
+          },
+          "dataStoreName": {
+            "type": "string",
+            "nullable": true
+          },
+          "DataStoreNameParameterAssignment": {
+            "$ref": "#/components/schemas/ParameterAssignment"
+          },
+          "dataStoreMode": {
+            "$ref": "#/components/schemas/AEVADataStoreMode"
+          },
+          "DataStoreModeParameterAssignment": {
+            "$ref": "#/components/schemas/ParameterAssignment"
+          },
+          "pathOnCompute": {
+            "type": "string",
+            "nullable": true
+          },
+          "PathOnComputeParameterAssignment": {
+            "$ref": "#/components/schemas/ParameterAssignment"
+          },
+          "overwrite": {
+            "type": "boolean"
+          },
+          "dataReferenceName": {
+            "type": "string",
+            "nullable": true
+          },
+          "webServicePort": {
+            "type": "string",
+            "nullable": true
+          },
+          "datasetRegistration": {
+            "$ref": "#/components/schemas/DatasetRegistration"
+          },
+          "datasetOutputOptions": {
+            "$ref": "#/components/schemas/DatasetOutputOptions"
+          },
+          "AssetOutputSettings": {
+            "$ref": "#/components/schemas/AssetOutputSettings"
+          },
+          "parameterName": {
+            "type": "string",
+            "nullable": true
+          },
+          "AssetOutputSettingsParameterName": {
+            "type": "string",
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "OutputSettingSpec": {
+        "type": "object",
+        "properties": {
+          "supportedDataStoreModes": {
+            "type": "array",
+            "items": {
+              "$ref": "#/components/schemas/AEVADataStoreMode"
+            },
+            "nullable": true
+          },
+          "defaultAssetOutputPath": {
+            "type": "string",
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "PaginatedDataInfoList": {
+        "type": "object",
+        "properties": {
+          "value": {
+            "type": "array",
+            "items": {
+              "$ref": "#/components/schemas/DataInfo"
+            },
+            "description": "An array of objects of type DataInfo.",
+            "nullable": true
+          },
+          "continuationToken": {
+            "type": "string",
+            "description": "The token used in retrieving the next page. If null, there are no additional pages.",
+            "nullable": true
+          },
+          "nextLink": {
+            "type": "string",
+            "description": "The link to the next page constructed using the continuationToken.  If null, there are no additional pages.",
+            "nullable": true
+          }
+        },
+        "additionalProperties": false,
+        "description": "A paginated list of DataInfos."
+      },
+      "PaginatedModelDtoList": {
+        "type": "object",
+        "properties": {
+          "value": {
+            "type": "array",
+            "items": {
+              "$ref": "#/components/schemas/ModelDto"
+            },
+            "description": "An array of objects of type ModelDto.",
+            "nullable": true
+          },
+          "continuationToken": {
+            "type": "string",
+            "description": "The token used in retrieving the next page. If null, there are no additional pages.",
+            "nullable": true
+          },
+          "nextLink": {
+            "type": "string",
+            "description": "The link to the next page constructed using the continuationToken.  If null, there are no additional pages.",
+            "nullable": true
+          }
+        },
+        "additionalProperties": false,
+        "description": "A paginated list of ModelDtos."
+      },
+      "PaginatedModuleDtoList": {
+        "type": "object",
+        "properties": {
+          "value": {
+            "type": "array",
+            "items": {
+              "$ref": "#/components/schemas/ModuleDto"
+            },
+            "description": "An array of objects of type ModuleDto.",
+            "nullable": true
+          },
+          "continuationToken": {
+            "type": "string",
+            "description": "The token used in retrieving the next page. If null, there are no additional pages.",
+            "nullable": true
+          },
+          "nextLink": {
+            "type": "string",
+            "description": "The link to the next page constructed using the continuationToken.  If null, there are no additional pages.",
+            "nullable": true
+          }
+        },
+        "additionalProperties": false,
+        "description": "A paginated list of ModuleDtos."
+      },
+      "PaginatedPipelineDraftSummaryList": {
+        "type": "object",
+        "properties": {
+          "value": {
+            "type": "array",
+            "items": {
+              "$ref": "#/components/schemas/PipelineDraftSummary"
+            },
+            "description": "An array of objects of type PipelineDraftSummary.",
+            "nullable": true
+          },
+          "continuationToken": {
+            "type": "string",
+            "description": "The token used in retrieving the next page. If null, there are no additional pages.",
+            "nullable": true
+          },
+          "nextLink": {
+            "type": "string",
+            "description": "The link to the next page constructed using the continuationToken.  If null, there are no additional pages.",
+            "nullable": true
+          }
+        },
+        "additionalProperties": false,
+        "description": "A paginated list of PipelineDraftSummarys."
+      },
+      "PaginatedPipelineEndpointSummaryList": {
+        "type": "object",
+        "properties": {
+          "value": {
+            "type": "array",
+            "items": {
+              "$ref": "#/components/schemas/PipelineEndpointSummary"
+            },
+            "description": "An array of objects of type PipelineEndpointSummary.",
+            "nullable": true
+          },
+          "continuationToken": {
+            "type": "string",
+            "description": "The token used in retrieving the next page. If null, there are no additional pages.",
+            "nullable": true
+          },
+          "nextLink": {
+            "type": "string",
+            "description": "The link to the next page constructed using the continuationToken.  If null, there are no additional pages.",
+            "nullable": true
+          }
+        },
+        "additionalProperties": false,
+        "description": "A paginated list of PipelineEndpointSummarys."
+      },
+      "PaginatedPipelineRunSummaryList": {
+        "type": "object",
+        "properties": {
+          "value": {
+            "type": "array",
+            "items": {
+              "$ref": "#/components/schemas/PipelineRunSummary"
+            },
+            "description": "An array of objects of type PipelineRunSummary.",
+            "nullable": true
+          },
+          "continuationToken": {
+            "type": "string",
+            "description": "The token used in retrieving the next page. If null, there are no additional pages.",
+            "nullable": true
+          },
+          "nextLink": {
+            "type": "string",
+            "description": "The link to the next page constructed using the continuationToken.  If null, there are no additional pages.",
+            "nullable": true
+          }
+        },
+        "additionalProperties": false,
+        "description": "A paginated list of PipelineRunSummarys."
+      },
+      "PaginatedPublishedPipelineSummaryList": {
+        "type": "object",
+        "properties": {
+          "value": {
+            "type": "array",
+            "items": {
+              "$ref": "#/components/schemas/PublishedPipelineSummary"
+            },
+            "description": "An array of objects of type PublishedPipelineSummary.",
+            "nullable": true
+          },
+          "continuationToken": {
+            "type": "string",
+            "description": "The token used in retrieving the next page. If null, there are no additional pages.",
+            "nullable": true
+          },
+          "nextLink": {
+            "type": "string",
+            "description": "The link to the next page constructed using the continuationToken.  If null, there are no additional pages.",
+            "nullable": true
+          }
+        },
+        "additionalProperties": false,
+        "description": "A paginated list of PublishedPipelineSummarys."
+      },
+      "ParallelForControlFlowInfo": {
+        "type": "object",
+        "properties": {
+          "parallelForItemsInput": {
+            "$ref": "#/components/schemas/ParameterAssignment"
+          }
+        },
+        "additionalProperties": false
+      },
+      "ParallelTaskConfiguration": {
+        "type": "object",
+        "properties": {
+          "maxRetriesPerWorker": {
+            "type": "integer",
+            "format": "int32"
+          },
+          "workerCountPerNode": {
+            "type": "integer",
+            "format": "int32"
+          },
+          "terminalExitCodes": {
+            "type": "array",
+            "items": {
+              "type": "integer",
+              "format": "int32"
+            },
+            "nullable": true
+          },
+          "configuration": {
+            "type": "object",
+            "additionalProperties": {
+              "type": "string",
+              "nullable": true
+            },
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "Parameter": {
+        "type": "object",
+        "properties": {
+          "name": {
+            "type": "string",
+            "nullable": true
+          },
+          "documentation": {
+            "type": "string",
+            "nullable": true
+          },
+          "defaultValue": {
+            "type": "string",
+            "nullable": true
+          },
+          "isOptional": {
+            "type": "boolean"
+          },
+          "minMaxRules": {
+            "type": "array",
+            "items": {
+              "$ref": "#/components/schemas/MinMaxParameterRule"
+            },
+            "nullable": true
+          },
+          "enumRules": {
+            "type": "array",
+            "items": {
+              "$ref": "#/components/schemas/EnumParameterRule"
+            },
+            "nullable": true
+          },
+          "type": {
+            "$ref": "#/components/schemas/ParameterType"
+          },
+          "label": {
+            "type": "string",
+            "nullable": true
+          },
+          "groupNames": {
+            "type": "array",
+            "items": {
+              "type": "string"
+            },
+            "nullable": true
+          },
+          "argumentName": {
+            "type": "string",
+            "nullable": true
+          },
+          "uiHint": {
+            "$ref": "#/components/schemas/UIParameterHint"
+          }
+        },
+        "additionalProperties": false
+      },
+      "ParameterAssignment": {
+        "type": "object",
+        "properties": {
+          "valueType": {
+            "$ref": "#/components/schemas/ParameterValueType"
+          },
+          "assignmentsToConcatenate": {
+            "type": "array",
+            "items": {
+              "$ref": "#/components/schemas/ParameterAssignment"
+            },
+            "nullable": true
+          },
+          "dataPathAssignment": {
+            "$ref": "#/components/schemas/LegacyDataPath"
+          },
+          "dataSetDefinitionValueAssignment": {
+            "$ref": "#/components/schemas/DataSetDefinitionValue"
+          },
+          "name": {
+            "type": "string",
+            "nullable": true
+          },
+          "value": {
+            "type": "string",
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "ParameterDefinition": {
+        "type": "object",
+        "properties": {
+          "name": {
+            "type": "string",
+            "nullable": true
+          },
+          "type": {
+            "type": "string",
+            "nullable": true
+          },
+          "value": {
+            "type": "string",
+            "nullable": true
+          },
+          "isOptional": {
+            "type": "boolean"
+          }
+        },
+        "additionalProperties": false
+      },
+      "ParameterType": {
+        "enum": [
+          "Int",
+          "Double",
+          "Bool",
+          "String",
+          "Undefined"
+        ],
+        "type": "string"
+      },
+      "ParameterValueType": {
+        "enum": [
+          "Literal",
+          "GraphParameterName",
+          "Concatenate",
+          "Input",
+          "DataPath",
+          "DataSetDefinition"
+        ],
+        "type": "string"
+      },
+      "PatchFlowRequest": {
+        "type": "object",
+        "properties": {
+          "flowPatchOperationType": {
+            "$ref": "#/components/schemas/FlowPatchOperationType"
+          },
+          "flowDefinitionFilePath": {
+            "type": "string",
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "Pipeline": {
+        "type": "object",
+        "properties": {
+          "runId": {
+            "type": "string",
+            "nullable": true
+          },
+          "continueRunOnStepFailure": {
+            "type": "boolean"
+          },
+          "defaultDatastoreName": {
+            "type": "string",
+            "nullable": true
+          },
+          "componentJobs": {
+            "type": "object",
+            "additionalProperties": {
+              "$ref": "#/components/schemas/ComponentJob"
+            },
+            "description": "This is a dictionary",
+            "nullable": true
+          },
+          "inputs": {
+            "type": "object",
+            "additionalProperties": {
+              "$ref": "#/components/schemas/PipelineInput"
+            },
+            "description": "This is a dictionary",
+            "nullable": true
+          },
+          "outputs": {
+            "type": "object",
+            "additionalProperties": {
+              "$ref": "#/components/schemas/PipelineOutput"
+            },
+            "description": "This is a dictionary",
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "PipelineDraft": {
+        "type": "object",
+        "properties": {
+          "graphDraftId": {
+            "type": "string",
+            "nullable": true
+          },
+          "sourcePipelineRunId": {
+            "type": "string",
+            "nullable": true
+          },
+          "latestPipelineRunId": {
+            "type": "string",
+            "nullable": true
+          },
+          "latestRunExperimentName": {
+            "type": "string",
+            "nullable": true
+          },
+          "latestRunExperimentId": {
+            "type": "string",
+            "nullable": true
+          },
+          "isLatestRunExperimentArchived": {
+            "type": "boolean",
+            "nullable": true
+          },
+          "status": {
+            "$ref": "#/components/schemas/PipelineStatus"
+          },
+          "graphDetail": {
+            "$ref": "#/components/schemas/PipelineRunGraphDetail"
+          },
+          "realTimeEndpointInfo": {
+            "$ref": "#/components/schemas/RealTimeEndpointInfo"
+          },
+          "linkedPipelinesInfo": {
+            "type": "array",
+            "items": {
+              "$ref": "#/components/schemas/LinkedPipelineInfo"
+            },
+            "nullable": true
+          },
+          "nodesInDraft": {
+            "type": "array",
+            "items": {
+              "type": "string"
+            },
+            "nullable": true
+          },
+          "studioMigrationInfo": {
+            "$ref": "#/components/schemas/StudioMigrationInfo"
+          },
+          "flattenedSubGraphs": {
+            "type": "object",
+            "additionalProperties": {
+              "$ref": "#/components/schemas/PipelineSubDraft"
+            },
+            "nullable": true
+          },
+          "pipelineRunSettingParameters": {
+            "type": "array",
+            "items": {
+              "$ref": "#/components/schemas/RunSettingParameter"
+            },
+            "nullable": true
+          },
+          "pipelineRunSettings": {
+            "type": "array",
+            "items": {
+              "$ref": "#/components/schemas/RunSettingParameterAssignment"
+            },
+            "nullable": true
+          },
+          "continueRunOnStepFailure": {
+            "type": "boolean"
+          },
+          "continueRunOnFailedOptionalInput": {
+            "type": "boolean"
+          },
+          "defaultCompute": {
+            "$ref": "#/components/schemas/ComputeSetting"
+          },
+          "defaultDatastore": {
+            "$ref": "#/components/schemas/DatastoreSetting"
+          },
+          "defaultCloudPriority": {
+            "$ref": "#/components/schemas/CloudPrioritySetting"
+          },
+          "enforceRerun": {
+            "type": "boolean",
+            "nullable": true
+          },
+          "pipelineParameters": {
+            "type": "object",
+            "additionalProperties": {
+              "type": "string"
+            },
+            "description": "This is a dictionary",
+            "nullable": true
+          },
+          "dataPathAssignments": {
+            "type": "object",
+            "additionalProperties": {
+              "$ref": "#/components/schemas/LegacyDataPath"
+            },
+            "description": "This is a dictionary",
+            "nullable": true
+          },
+          "dataSetDefinitionValueAssignments": {
+            "type": "object",
+            "additionalProperties": {
+              "$ref": "#/components/schemas/DataSetDefinitionValue"
+            },
+            "description": "This is a dictionary",
+            "nullable": true
+          },
+          "assetOutputSettingsAssignments": {
+            "type": "object",
+            "additionalProperties": {
+              "$ref": "#/components/schemas/AssetOutputSettings"
+            },
+            "description": "This is a dictionary",
+            "nullable": true
+          },
+          "pipelineTimeout": {
+            "type": "integer",
+            "format": "int32"
+          },
+          "identityConfig": {
+            "$ref": "#/components/schemas/IdentitySetting"
+          },
+          "graphComponentsMode": {
+            "$ref": "#/components/schemas/GraphComponentsMode"
+          },
+          "name": {
+            "type": "string",
+            "nullable": true
+          },
+          "lastEditedBy": {
+            "type": "string",
+            "nullable": true
+          },
+          "createdBy": {
+            "type": "string",
+            "nullable": true
+          },
+          "description": {
+            "type": "string",
+            "nullable": true
+          },
+          "pipelineType": {
+            "$ref": "#/components/schemas/PipelineType"
+          },
+          "pipelineDraftMode": {
+            "$ref": "#/components/schemas/PipelineDraftMode"
+          },
+          "tags": {
+            "type": "object",
+            "additionalProperties": {
+              "type": "string"
+            },
+            "description": "This is a dictionary",
+            "nullable": true
+          },
+          "properties": {
+            "type": "object",
+            "additionalProperties": {
+              "type": "string"
+            },
+            "description": "This is a dictionary",
+            "nullable": true
+          },
+          "entityStatus": {
+            "$ref": "#/components/schemas/EntityStatus"
+          },
+          "id": {
+            "type": "string",
+            "nullable": true
+          },
+          "etag": {
+            "type": "string",
+            "nullable": true
+          },
+          "createdDate": {
+            "type": "string",
+            "format": "date-time"
+          },
+          "lastModifiedDate": {
+            "type": "string",
+            "format": "date-time"
+          }
+        },
+        "additionalProperties": false
+      },
+      "PipelineDraftMode": {
+        "enum": [
+          "None",
+          "Normal",
+          "Custom"
+        ],
+        "type": "string"
+      },
+      "PipelineDraftStepDetails": {
+        "type": "object",
+        "properties": {
+          "runId": {
+            "type": "string",
+            "nullable": true
+          },
+          "target": {
+            "type": "string",
+            "nullable": true
+          },
+          "status": {
+            "$ref": "#/components/schemas/RunStatus"
+          },
+          "statusDetail": {
+            "type": "string",
+            "nullable": true
+          },
+          "parentRunId": {
+            "type": "string",
+            "nullable": true
+          },
+          "startTime": {
+            "type": "string",
+            "format": "date-time",
+            "nullable": true
+          },
+          "endTime": {
+            "type": "string",
+            "format": "date-time",
+            "nullable": true
+          },
+          "isReused": {
+            "type": "boolean",
+            "nullable": true
+          },
+          "reusedRunId": {
+            "type": "string",
+            "nullable": true
+          },
+          "reusedPipelineRunId": {
+            "type": "string",
+            "nullable": true
+          },
+          "logs": {
+            "type": "object",
+            "additionalProperties": {
+              "type": "string"
+            },
+            "description": "This is a dictionary",
+            "nullable": true
+          },
+          "outputLog": {
+            "type": "string",
+            "nullable": true
+          },
+          "runConfiguration": {
+            "$ref": "#/components/schemas/RunConfiguration"
+          },
+          "outputs": {
+            "type": "object",
+            "additionalProperties": {
+              "type": "string"
+            },
+            "description": "This is a dictionary",
+            "nullable": true
+          },
+          "portOutputs": {
+            "type": "object",
+            "additionalProperties": {
+              "$ref": "#/components/schemas/PortOutputInfo"
+            },
+            "description": "This is a dictionary",
+            "nullable": true
+          },
+          "isExperimentArchived": {
+            "type": "boolean",
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "PipelineDraftSummary": {
+        "type": "object",
+        "properties": {
+          "name": {
+            "type": "string",
+            "nullable": true
+          },
+          "lastEditedBy": {
+            "type": "string",
+            "nullable": true
+          },
+          "createdBy": {
+            "type": "string",
+            "nullable": true
+          },
+          "description": {
+            "type": "string",
+            "nullable": true
+          },
+          "pipelineType": {
+            "$ref": "#/components/schemas/PipelineType"
+          },
+          "pipelineDraftMode": {
+            "$ref": "#/components/schemas/PipelineDraftMode"
+          },
+          "tags": {
+            "type": "object",
+            "additionalProperties": {
+              "type": "string"
+            },
+            "description": "This is a dictionary",
+            "nullable": true
+          },
+          "properties": {
+            "type": "object",
+            "additionalProperties": {
+              "type": "string"
+            },
+            "description": "This is a dictionary",
+            "nullable": true
+          },
+          "entityStatus": {
+            "$ref": "#/components/schemas/EntityStatus"
+          },
+          "id": {
+            "type": "string",
+            "nullable": true
+          },
+          "etag": {
+            "type": "string",
+            "nullable": true
+          },
+          "createdDate": {
+            "type": "string",
+            "format": "date-time"
+          },
+          "lastModifiedDate": {
+            "type": "string",
+            "format": "date-time"
+          }
+        },
+        "additionalProperties": false
+      },
+      "PipelineEndpoint": {
+        "type": "object",
+        "properties": {
+          "defaultVersion": {
+            "type": "string",
+            "nullable": true
+          },
+          "defaultPipelineId": {
+            "type": "string",
+            "nullable": true
+          },
+          "defaultGraphId": {
+            "type": "string",
+            "nullable": true
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+          "restEndpoint": {
+            "type": "string",
+            "nullable": true
+          },
+          "publishedDate": {
+            "type": "string",
+            "format": "date-time"
+          },
+          "publishedBy": {
+            "type": "string",
+            "nullable": true
+          },
+          "parameters": {
+            "type": "object",
+            "additionalProperties": {
+              "type": "string"
+            },
+            "description": "This is a dictionary",
+            "nullable": true
+          },
+          "dataSetDefinitionValueAssignment": {
+            "type": "object",
+            "additionalProperties": {
+              "$ref": "#/components/schemas/DataSetDefinitionValue"
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+            "description": "This is a dictionary",
+            "nullable": true
+          },
+          "defaultPipelineName": {
+            "type": "string",
+            "nullable": true
+          },
+          "name": {
+            "type": "string",
+            "nullable": true
+          },
+          "description": {
+            "type": "string",
+            "nullable": true
+          },
+          "updatedBy": {
+            "type": "string",
+            "nullable": true
+          },
+          "swaggerUrl": {
+            "type": "string",
+            "nullable": true
+          },
+          "lastRunTime": {
+            "type": "string",
+            "format": "date-time",
+            "nullable": true
+          },
+          "lastRunStatus": {
+            "$ref": "#/components/schemas/PipelineRunStatusCode"
+          },
+          "tags": {
+            "type": "object",
+            "additionalProperties": {
+              "type": "string"
+            },
+            "description": "This is a dictionary",
+            "nullable": true
+          },
+          "entityStatus": {
+            "$ref": "#/components/schemas/EntityStatus"
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+          "id": {
+            "type": "string",
+            "nullable": true
+          },
+          "etag": {
+            "type": "string",
+            "nullable": true
+          },
+          "createdDate": {
+            "type": "string",
+            "format": "date-time"
+          },
+          "lastModifiedDate": {
+            "type": "string",
+            "format": "date-time"
+          }
+        },
+        "additionalProperties": false
+      },
+      "PipelineEndpointSummary": {
+        "type": "object",
+        "properties": {
+          "name": {
+            "type": "string",
+            "nullable": true
+          },
+          "description": {
+            "type": "string",
+            "nullable": true
+          },
+          "updatedBy": {
+            "type": "string",
+            "nullable": true
+          },
+          "swaggerUrl": {
+            "type": "string",
+            "nullable": true
+          },
+          "lastRunTime": {
+            "type": "string",
+            "format": "date-time",
+            "nullable": true
+          },
+          "lastRunStatus": {
+            "$ref": "#/components/schemas/PipelineRunStatusCode"
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+            "type": "object",
+            "additionalProperties": {
+              "type": "string"
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+            "description": "This is a dictionary",
+            "nullable": true
+          },
+          "entityStatus": {
+            "$ref": "#/components/schemas/EntityStatus"
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+          "id": {
+            "type": "string",
+            "nullable": true
+          },
+          "etag": {
+            "type": "string",
+            "nullable": true
+          },
+          "createdDate": {
+            "type": "string",
+            "format": "date-time"
+          },
+          "lastModifiedDate": {
+            "type": "string",
+            "format": "date-time"
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+        "additionalProperties": false
+      },
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+        "type": "object",
+        "properties": {
+          "graphModuleDtos": {
+            "type": "array",
+            "items": {
+              "$ref": "#/components/schemas/ModuleDto"
+            },
+            "nullable": true
+          },
+          "graphDataSources": {
+            "type": "array",
+            "items": {
+              "$ref": "#/components/schemas/DataInfo"
+            },
+            "nullable": true
+          },
+          "graphs": {
+            "type": "object",
+            "additionalProperties": {
+              "$ref": "#/components/schemas/PipelineGraph"
+            },
+            "description": "This is a dictionary",
+            "nullable": true
+          },
+          "graphDrafts": {
+            "type": "object",
+            "additionalProperties": {
+              "$ref": "#/components/schemas/PipelineGraph"
+            },
+            "description": "This is a dictionary",
+            "nullable": true
+          },
+          "moduleNodeRunSettings": {
+            "type": "array",
+            "items": {
+              "$ref": "#/components/schemas/GraphModuleNodeRunSetting"
+            },
+            "nullable": true
+          },
+          "moduleNodeUIInputSettings": {
+            "type": "array",
+            "items": {
+              "$ref": "#/components/schemas/GraphModuleNodeUIInputSetting"
+            },
+            "nullable": true
+          },
+          "subPipelinesInfo": {
+            "$ref": "#/components/schemas/SubPipelinesInfo"
+          },
+          "referencedNodeId": {
+            "type": "string",
+            "nullable": true
+          },
+          "pipelineRunSettingParameters": {
+            "type": "array",
+            "items": {
+              "$ref": "#/components/schemas/RunSettingParameter"
+            },
+            "nullable": true
+          },
+          "pipelineRunSettings": {
+            "type": "array",
+            "items": {
+              "$ref": "#/components/schemas/RunSettingParameterAssignment"
+            },
+            "nullable": true
+          },
+          "realTimeEndpointInfo": {
+            "$ref": "#/components/schemas/RealTimeEndpointInfo"
+          },
+          "nodeTelemetryMetaInfos": {
+            "type": "array",
+            "items": {
+              "$ref": "#/components/schemas/NodeTelemetryMetaInfo"
+            },
+            "nullable": true
+          },
+          "graphComponentsMode": {
+            "$ref": "#/components/schemas/GraphComponentsMode"
+          },
+          "moduleNodes": {
+            "type": "array",
+            "items": {
+              "$ref": "#/components/schemas/GraphModuleNode"
+            },
+            "nullable": true
+          },
+          "datasetNodes": {
+            "type": "array",
+            "items": {
+              "$ref": "#/components/schemas/GraphDatasetNode"
+            },
+            "nullable": true
+          },
+          "subGraphNodes": {
+            "type": "array",
+            "items": {
+              "$ref": "#/components/schemas/GraphReferenceNode"
+            },
+            "nullable": true
+          },
+          "controlReferenceNodes": {
+            "type": "array",
+            "items": {
+              "$ref": "#/components/schemas/GraphControlReferenceNode"
+            },
+            "nullable": true
+          },
+          "controlNodes": {
+            "type": "array",
+            "items": {
+              "$ref": "#/components/schemas/GraphControlNode"
+            },
+            "nullable": true
+          },
+          "edges": {
+            "type": "array",
+            "items": {
+              "$ref": "#/components/schemas/GraphEdge"
+            },
+            "nullable": true
+          },
+          "entityInterface": {
+            "$ref": "#/components/schemas/EntityInterface"
+          },
+          "graphLayout": {
+            "$ref": "#/components/schemas/GraphLayout"
+          },
+          "createdBy": {
+            "$ref": "#/components/schemas/CreatedBy"
+          },
+          "lastUpdatedBy": {
+            "$ref": "#/components/schemas/CreatedBy"
+          },
+          "defaultCompute": {
+            "$ref": "#/components/schemas/ComputeSetting"
+          },
+          "defaultDatastore": {
+            "$ref": "#/components/schemas/DatastoreSetting"
+          },
+          "defaultCloudPriority": {
+            "$ref": "#/components/schemas/CloudPrioritySetting"
+          },
+          "extendedProperties": {
+            "type": "object",
+            "additionalProperties": {
+              "type": "string"
+            },
+            "description": "This is a dictionary",
+            "nullable": true
+          },
+          "parentSubGraphModuleIds": {
+            "type": "array",
+            "items": {
+              "type": "string"
+            },
+            "nullable": true
+          },
+          "id": {
+            "type": "string",
+            "nullable": true
+          },
+          "etag": {
+            "type": "string",
+            "nullable": true
+          },
+          "createdDate": {
+            "type": "string",
+            "format": "date-time"
+          },
+          "lastModifiedDate": {
+            "type": "string",
+            "format": "date-time"
+          }
+        },
+        "additionalProperties": false
+      },
+      "PipelineInput": {
+        "type": "object",
+        "properties": {
+          "data": {
+            "$ref": "#/components/schemas/InputData"
+          }
+        },
+        "additionalProperties": false
+      },
+      "PipelineJob": {
+        "type": "object",
+        "properties": {
+          "jobType": {
+            "$ref": "#/components/schemas/JobType"
+          },
+          "pipelineJobType": {
+            "$ref": "#/components/schemas/MfeInternalPipelineType"
+          },
+          "pipeline": {
+            "$ref": "#/components/schemas/Pipeline"
+          },
+          "computeId": {
+            "type": "string",
+            "nullable": true
+          },
+          "runId": {
+            "type": "string",
+            "nullable": true
+          },
+          "settings": {
+            "nullable": true
+          },
+          "componentJobs": {
+            "type": "object",
+            "additionalProperties": {
+              "$ref": "#/components/schemas/MfeInternalV20211001ComponentJob"
+            },
+            "description": "This is a dictionary",
+            "nullable": true
+          },
+          "inputs": {
+            "type": "object",
+            "additionalProperties": {
+              "$ref": "#/components/schemas/JobInput"
+            },
+            "description": "This is a dictionary",
+            "nullable": true
+          },
+          "outputs": {
+            "type": "object",
+            "additionalProperties": {
+              "$ref": "#/components/schemas/JobOutput"
+            },
+            "description": "This is a dictionary",
+            "nullable": true
+          },
+          "bindings": {
+            "type": "array",
+            "items": {
+              "$ref": "#/components/schemas/Binding"
+            },
+            "nullable": true
+          },
+          "jobs": {
+            "type": "object",
+            "additionalProperties": { },
+            "description": "This is a dictionary",
+            "nullable": true
+          },
+          "inputBindings": {
+            "type": "object",
+            "additionalProperties": {
+              "$ref": "#/components/schemas/InputDataBinding"
+            },
+            "description": "This is a dictionary",
+            "nullable": true
+          },
+          "outputBindings": {
+            "type": "object",
+            "additionalProperties": {
+              "$ref": "#/components/schemas/OutputDataBinding"
+            },
+            "description": "This is a dictionary",
+            "nullable": true
+          },
+          "sourceJobId": {
+            "type": "string",
+            "nullable": true
+          },
+          "provisioningState": {
+            "$ref": "#/components/schemas/JobProvisioningState"
+          },
+          "parentJobName": {
+            "type": "string",
+            "nullable": true
+          },
+          "displayName": {
+            "type": "string",
+            "nullable": true
+          },
+          "experimentName": {
+            "type": "string",
+            "nullable": true
+          },
+          "status": {
+            "$ref": "#/components/schemas/JobStatus"
+          },
+          "interactionEndpoints": {
+            "type": "object",
+            "additionalProperties": {
+              "$ref": "#/components/schemas/JobEndpoint"
+            },
+            "nullable": true
+          },
+          "identity": {
+            "$ref": "#/components/schemas/MfeInternalIdentityConfiguration"
+          },
+          "compute": {
+            "$ref": "#/components/schemas/ComputeConfiguration"
+          },
+          "priority": {
+            "type": "integer",
+            "format": "int32",
+            "nullable": true
+          },
+          "output": {
+            "$ref": "#/components/schemas/JobOutputArtifacts"
+          },
+          "isArchived": {
+            "type": "boolean"
+          },
+          "schedule": {
+            "$ref": "#/components/schemas/ScheduleBase"
+          },
+          "componentId": {
+            "type": "string",
+            "nullable": true
+          },
+          "notificationSetting": {
+            "$ref": "#/components/schemas/NotificationSetting"
+          },
+          "secretsConfiguration": {
+            "type": "object",
+            "additionalProperties": {
+              "$ref": "#/components/schemas/MfeInternalSecretConfiguration"
+            },
+            "nullable": true
+          },
+          "description": {
+            "type": "string",
+            "nullable": true
+          },
+          "tags": {
+            "type": "object",
+            "additionalProperties": {
+              "type": "string"
+            },
+            "description": "This is a dictionary",
+            "nullable": true
+          },
+          "properties": {
+            "type": "object",
+            "additionalProperties": {
+              "type": "string"
+            },
+            "description": "This is a dictionary",
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "PipelineJobRuntimeBasicSettings": {
+        "type": "object",
+        "properties": {
+          "pipelineRunSettings": {
+            "type": "array",
+            "items": {
+              "$ref": "#/components/schemas/RunSettingParameterAssignment"
+            },
+            "nullable": true
+          },
+          "experimentName": {
+            "type": "string",
+            "nullable": true
+          },
+          "pipelineJobName": {
+            "type": "string",
+            "nullable": true
+          },
+          "tags": {
+            "type": "object",
+            "additionalProperties": {
+              "type": "string"
+            },
+            "description": "This is a dictionary",
+            "nullable": true
+          },
+          "displayName": {
+            "type": "string",
+            "nullable": true
+          },
+          "description": {
+            "type": "string",
+            "nullable": true
+          },
+          "triggerTimeString": {
+            "type": "string",
+            "nullable": true
+          },
+          "pipelineParameters": {
+            "type": "object",
+            "additionalProperties": {
+              "type": "string"
+            },
+            "description": "This is a dictionary",
+            "nullable": true
+          },
+          "dataPathAssignments": {
+            "type": "object",
+            "additionalProperties": {
+              "$ref": "#/components/schemas/LegacyDataPath"
+            },
+            "description": "This is a dictionary",
+            "nullable": true
+          },
+          "dataSetDefinitionValueAssignments": {
+            "type": "object",
+            "additionalProperties": {
+              "$ref": "#/components/schemas/DataSetDefinitionValue"
+            },
+            "description": "This is a dictionary",
+            "nullable": true
+          },
+          "assetOutputSettingsAssignments": {
+            "type": "object",
+            "additionalProperties": {
+              "$ref": "#/components/schemas/AssetOutputSettings"
+            },
+            "description": "This is a dictionary",
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "PipelineJobScheduleDto": {
+        "type": "object",
+        "properties": {
+          "systemData": {
+            "$ref": "#/components/schemas/SystemData"
+          },
+          "name": {
+            "type": "string",
+            "nullable": true
+          },
+          "pipelineJobName": {
+            "type": "string",
+            "nullable": true
+          },
+          "pipelineJobRuntimeSettings": {
+            "$ref": "#/components/schemas/PipelineJobRuntimeBasicSettings"
+          },
+          "displayName": {
+            "type": "string",
+            "nullable": true
+          },
+          "triggerType": {
+            "$ref": "#/components/schemas/TriggerType"
+          },
+          "recurrence": {
+            "$ref": "#/components/schemas/Recurrence"
+          },
+          "cron": {
+            "$ref": "#/components/schemas/Cron"
+          },
+          "status": {
+            "$ref": "#/components/schemas/ScheduleStatus"
+          },
+          "description": {
+            "type": "string",
+            "nullable": true
+          },
+          "tags": {
+            "type": "object",
+            "additionalProperties": {
+              "type": "string"
+            },
+            "description": "This is a dictionary",
+            "nullable": true
+          },
+          "properties": {
+            "type": "object",
+            "additionalProperties": {
+              "type": "string"
+            },
+            "description": "This is a dictionary",
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "PipelineOutput": {
+        "type": "object",
+        "properties": {
+          "data": {
+            "$ref": "#/components/schemas/MfeInternalOutputData"
+          }
+        },
+        "additionalProperties": false
+      },
+      "PipelineRun": {
+        "type": "object",
+        "properties": {
+          "pipelineId": {
+            "type": "string",
+            "nullable": true
+          },
+          "runSource": {
+            "type": "string",
+            "nullable": true
+          },
+          "runType": {
+            "$ref": "#/components/schemas/RunType"
+          },
+          "parameters": {
+            "type": "object",
+            "additionalProperties": {
+              "type": "string"
+            },
+            "description": "This is a dictionary",
+            "nullable": true
+          },
+          "dataPathAssignments": {
+            "type": "object",
+            "additionalProperties": {
+              "$ref": "#/components/schemas/LegacyDataPath"
+            },
+            "description": "This is a dictionary",
+            "nullable": true
+          },
+          "dataSetDefinitionValueAssignment": {
+            "type": "object",
+            "additionalProperties": {
+              "$ref": "#/components/schemas/DataSetDefinitionValue"
+            },
+            "description": "This is a dictionary",
+            "nullable": true
+          },
+          "assetOutputSettingsAssignments": {
+            "type": "object",
+            "additionalProperties": {
+              "$ref": "#/components/schemas/AssetOutputSettings"
+            },
+            "description": "This is a dictionary",
+            "nullable": true
+          },
+          "totalSteps": {
+            "type": "integer",
+            "format": "int32"
+          },
+          "logs": {
+            "type": "object",
+            "additionalProperties": {
+              "type": "string"
+            },
+            "description": "This is a dictionary",
+            "nullable": true
+          },
+          "userAlias": {
+            "type": "string",
+            "nullable": true
+          },
+          "enforceRerun": {
+            "type": "boolean",
+            "nullable": true
+          },
+          "continueRunOnFailedOptionalInput": {
+            "type": "boolean"
+          },
+          "defaultCompute": {
+            "$ref": "#/components/schemas/ComputeSetting"
+          },
+          "defaultDatastore": {
+            "$ref": "#/components/schemas/DatastoreSetting"
+          },
+          "defaultCloudPriority": {
+            "$ref": "#/components/schemas/CloudPrioritySetting"
+          },
+          "pipelineTimeoutSeconds": {
+            "type": "integer",
+            "format": "int32",
+            "nullable": true
+          },
+          "continueRunOnStepFailure": {
+            "type": "boolean"
+          },
+          "identityConfig": {
+            "$ref": "#/components/schemas/IdentitySetting"
+          },
+          "description": {
+            "type": "string",
+            "nullable": true
+          },
+          "displayName": {
+            "type": "string",
+            "nullable": true
+          },
+          "runNumber": {
+            "type": "integer",
+            "format": "int32",
+            "nullable": true
+          },
+          "statusCode": {
+            "$ref": "#/components/schemas/PipelineStatusCode"
+          },
+          "runStatus": {
+            "$ref": "#/components/schemas/RunStatus"
+          },
+          "statusDetail": {
+            "type": "string",
+            "nullable": true
+          },
+          "startTime": {
+            "type": "string",
+            "format": "date-time",
+            "nullable": true
+          },
+          "endTime": {
+            "type": "string",
+            "format": "date-time",
+            "nullable": true
+          },
+          "graphId": {
+            "type": "string",
+            "nullable": true
+          },
+          "experimentId": {
+            "type": "string",
+            "nullable": true
+          },
+          "experimentName": {
+            "type": "string",
+            "nullable": true
+          },
+          "isExperimentArchived": {
+            "type": "boolean",
+            "nullable": true
+          },
+          "submittedBy": {
+            "type": "string",
+            "nullable": true
+          },
+          "tags": {
+            "type": "object",
+            "additionalProperties": {
+              "type": "string"
+            },
+            "description": "This is a dictionary",
+            "nullable": true
+          },
+          "stepTags": {
+            "type": "object",
+            "additionalProperties": {
+              "type": "string"
+            },
+            "description": "This is a dictionary",
+            "nullable": true
+          },
+          "properties": {
+            "type": "object",
+            "additionalProperties": {
+              "type": "string"
+            },
+            "description": "This is a dictionary",
+            "nullable": true
+          },
+          "aetherStartTime": {
+            "type": "string",
+            "format": "date-time",
+            "nullable": true
+          },
+          "aetherEndTime": {
+            "type": "string",
+            "format": "date-time",
+            "nullable": true
+          },
+          "runHistoryStartTime": {
+            "type": "string",
+            "format": "date-time",
+            "nullable": true
+          },
+          "runHistoryEndTime": {
+            "type": "string",
+            "format": "date-time",
+            "nullable": true
+          },
+          "uniqueChildRunComputeTargets": {
+            "uniqueItems": true,
+            "type": "array",
+            "items": {
+              "type": "string"
+            },
+            "nullable": true
+          },
+          "entityStatus": {
+            "$ref": "#/components/schemas/EntityStatus"
+          },
+          "id": {
+            "type": "string",
+            "nullable": true
+          },
+          "etag": {
+            "type": "string",
+            "nullable": true
+          },
+          "createdDate": {
+            "type": "string",
+            "format": "date-time"
+          },
+          "lastModifiedDate": {
+            "type": "string",
+            "format": "date-time"
+          }
+        },
+        "additionalProperties": false
+      },
+      "PipelineRunGraphDetail": {
+        "type": "object",
+        "properties": {
+          "graph": {
+            "$ref": "#/components/schemas/PipelineGraph"
+          },
+          "graphNodesStatus": {
+            "type": "object",
+            "additionalProperties": {
+              "$ref": "#/components/schemas/GraphNodeStatusInfo"
+            },
+            "description": "This is a dictionary",
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "PipelineRunGraphStatus": {
+        "type": "object",
+        "properties": {
+          "status": {
+            "$ref": "#/components/schemas/PipelineStatus"
+          },
+          "graphNodesStatus": {
+            "type": "object",
+            "additionalProperties": {
+              "$ref": "#/components/schemas/GraphNodeStatusInfo"
+            },
+            "description": "This is a dictionary",
+            "nullable": true
+          },
+          "experimentId": {
+            "type": "string",
+            "nullable": true
+          },
+          "isExperimentArchived": {
+            "type": "boolean",
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "PipelineRunProfile": {
+        "type": "object",
+        "properties": {
+          "runId": {
+            "type": "string",
+            "nullable": true
+          },
+          "nodeId": {
+            "type": "string",
+            "nullable": true
+          },
+          "runUrl": {
+            "type": "string",
+            "nullable": true
+          },
+          "experimentName": {
+            "type": "string",
+            "nullable": true
+          },
+          "experimentId": {
+            "type": "string",
+            "nullable": true
+          },
+          "description": {
+            "type": "string",
+            "nullable": true
+          },
+          "status": {
+            "$ref": "#/components/schemas/PipelineRunStatus"
+          },
+          "createTime": {
+            "type": "integer",
+            "format": "int64",
+            "nullable": true
+          },
+          "startTime": {
+            "type": "integer",
+            "format": "int64",
+            "nullable": true
+          },
+          "endTime": {
+            "type": "integer",
+            "format": "int64",
+            "nullable": true
+          },
+          "profilingTime": {
+            "type": "integer",
+            "format": "int64",
+            "nullable": true
+          },
+          "stepRunsProfile": {
+            "type": "array",
+            "items": {
+              "$ref": "#/components/schemas/StepRunProfile"
+            },
+            "nullable": true
+          },
+          "subPipelineRunProfile": {
+            "type": "array",
+            "items": {
+              "$ref": "#/components/schemas/PipelineRunProfile"
+            },
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "PipelineRunStatus": {
+        "type": "object",
+        "properties": {
+          "statusCode": {
+            "$ref": "#/components/schemas/PipelineRunStatusCode"
+          },
+          "statusDetail": {
+            "type": "string",
+            "nullable": true
+          },
+          "creationTime": {
+            "type": "string",
+            "format": "date-time"
+          },
+          "endTime": {
+            "type": "string",
+            "format": "date-time",
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "PipelineRunStatusCode": {
+        "enum": [
+          "NotStarted",
+          "Running",
+          "Failed",
+          "Finished",
+          "Canceled",
+          "Queued",
+          "CancelRequested"
+        ],
+        "type": "string"
+      },
+      "PipelineRunStepDetails": {
+        "type": "object",
+        "properties": {
+          "runId": {
+            "type": "string",
+            "nullable": true
+          },
+          "target": {
+            "type": "string",
+            "nullable": true
+          },
+          "status": {
+            "$ref": "#/components/schemas/RunStatus"
+          },
+          "statusDetail": {
+            "type": "string",
+            "nullable": true
+          },
+          "parentRunId": {
+            "type": "string",
+            "nullable": true
+          },
+          "startTime": {
+            "type": "string",
+            "format": "date-time",
+            "nullable": true
+          },
+          "endTime": {
+            "type": "string",
+            "format": "date-time",
+            "nullable": true
+          },
+          "isReused": {
+            "type": "boolean",
+            "nullable": true
+          },
+          "logs": {
+            "type": "object",
+            "additionalProperties": {
+              "type": "string"
+            },
+            "description": "This is a dictionary",
+            "nullable": true
+          },
+          "outputs": {
+            "type": "object",
+            "additionalProperties": {
+              "type": "string"
+            },
+            "description": "This is a dictionary",
+            "nullable": true
+          },
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+          "snapshotDate": {
+            "type": "string",
+            "nullable": true
+          },
+          "cranPackages": {
+            "type": "array",
+            "items": {
+              "$ref": "#/components/schemas/RCranPackage"
+            },
+            "nullable": true
+          },
+          "gitHubPackages": {
+            "type": "array",
+            "items": {
+              "$ref": "#/components/schemas/RGitHubPackage"
+            },
+            "nullable": true
+          },
+          "customUrlPackages": {
+            "type": "array",
+            "items": {
+              "type": "string"
+            },
+            "nullable": true
+          },
+          "bioConductorPackages": {
+            "type": "array",
+            "items": {
+              "type": "string"
+            },
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "RawComponentDto": {
+        "type": "object",
+        "properties": {
+          "componentSchema": {
+            "type": "string",
+            "nullable": true
+          },
+          "isAnonymous": {
+            "type": "boolean"
+          },
+          "name": {
+            "type": "string",
+            "nullable": true
+          },
+          "version": {
+            "type": "string",
+            "nullable": true
+          },
+          "type": {
+            "$ref": "#/components/schemas/ComponentType"
+          },
+          "componentTypeVersion": {
+            "type": "string",
+            "nullable": true
+          },
+          "displayName": {
+            "type": "string",
+            "nullable": true
+          },
+          "description": {
+            "type": "string",
+            "nullable": true
+          },
+          "tags": {
+            "type": "object",
+            "additionalProperties": {
+              "type": "string"
+            },
+            "description": "This is a dictionary",
+            "nullable": true
+          },
+          "properties": {
+            "type": "object",
+            "additionalProperties": {
+              "type": "string"
+            },
+            "description": "This is a dictionary",
+            "nullable": true
+          },
+          "isDeterministic": {
+            "type": "boolean"
+          },
+          "successfulReturnCode": {
+            "type": "string",
+            "nullable": true
+          },
+          "inputs": {
+            "type": "object",
+            "additionalProperties": {
+              "$ref": "#/components/schemas/ComponentInput"
+            },
+            "description": "This is a dictionary",
+            "nullable": true
+          },
+          "outputs": {
+            "type": "object",
+            "additionalProperties": {
+              "$ref": "#/components/schemas/ComponentOutput"
+            },
+            "description": "This is a dictionary",
+            "nullable": true
+          },
+          "command": {
+            "type": "string",
+            "nullable": true
+          },
+          "environmentName": {
+            "type": "string",
+            "nullable": true
+          },
+          "environmentVersion": {
+            "type": "string",
+            "nullable": true
+          },
+          "snapshotId": {
+            "type": "string",
+            "nullable": true
+          },
+          "createdBy": {
+            "$ref": "#/components/schemas/SchemaContractsCreatedBy"
+          },
+          "lastModifiedBy": {
+            "$ref": "#/components/schemas/SchemaContractsCreatedBy"
+          },
+          "createdDate": {
+            "type": "string",
+            "format": "date-time",
+            "nullable": true
+          },
+          "lastModifiedDate": {
+            "type": "string",
+            "format": "date-time",
+            "nullable": true
+          },
+          "componentInternalId": {
+            "type": "string",
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "RayConfiguration": {
+        "type": "object",
+        "properties": {
+          "port": {
+            "type": "integer",
+            "format": "int32",
+            "nullable": true
+          },
+          "address": {
+            "type": "string",
+            "nullable": true
+          },
+          "includeDashboard": {
+            "type": "boolean",
+            "nullable": true
+          },
+          "dashboardPort": {
+            "type": "integer",
+            "format": "int32",
+            "nullable": true
+          },
+          "headNodeAdditionalArgs": {
+            "type": "string",
+            "nullable": true
+          },
+          "workerNodeAdditionalArgs": {
+            "type": "string",
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "RealTimeEndpoint": {
+        "type": "object",
+        "properties": {
+          "createdBy": {
+            "type": "string",
+            "nullable": true
+          },
+          "kvTags": {
+            "type": "object",
+            "additionalProperties": {
+              "type": "string",
+              "nullable": true
+            },
+            "nullable": true
+          },
+          "state": {
+            "$ref": "#/components/schemas/WebServiceState"
+          },
+          "error": {
+            "$ref": "#/components/schemas/ModelManagementErrorResponse"
+          },
+          "computeType": {
+            "$ref": "#/components/schemas/ComputeEnvironmentType"
+          },
+          "imageId": {
+            "type": "string",
+            "nullable": true
+          },
+          "cpu": {
+            "type": "number",
+            "format": "double",
+            "nullable": true
+          },
+          "memoryInGB": {
+            "type": "number",
+            "format": "double",
+            "nullable": true
+          },
+          "maxConcurrentRequestsPerContainer": {
+            "type": "integer",
+            "format": "int32",
+            "nullable": true
+          },
+          "numReplicas": {
+            "type": "integer",
+            "format": "int32",
+            "nullable": true
+          },
+          "eventHubEnabled": {
+            "type": "boolean",
+            "nullable": true
+          },
+          "storageEnabled": {
+            "type": "boolean",
+            "nullable": true
+          },
+          "appInsightsEnabled": {
+            "type": "boolean",
+            "nullable": true
+          },
+          "autoScaleEnabled": {
+            "type": "boolean",
+            "nullable": true
+          },
+          "minReplicas": {
+            "type": "integer",
+            "format": "int32",
+            "nullable": true
+          },
+          "maxReplicas": {
+            "type": "integer",
+            "format": "int32",
+            "nullable": true
+          },
+          "targetUtilization": {
+            "type": "integer",
+            "format": "int32",
+            "nullable": true
+          },
+          "refreshPeriodInSeconds": {
+            "type": "integer",
+            "format": "int32",
+            "nullable": true
+          },
+          "scoringUri": {
+            "type": "string",
+            "format": "uri",
+            "nullable": true
+          },
+          "deploymentStatus": {
+            "$ref": "#/components/schemas/AKSReplicaStatus"
+          },
+          "scoringTimeoutMs": {
+            "type": "integer",
+            "format": "int32",
+            "nullable": true
+          },
+          "authEnabled": {
+            "type": "boolean",
+            "nullable": true
+          },
+          "aadAuthEnabled": {
+            "type": "boolean",
+            "nullable": true
+          },
+          "region": {
+            "type": "string",
+            "nullable": true
+          },
+          "primaryKey": {
+            "type": "string",
+            "nullable": true
+          },
+          "secondaryKey": {
+            "type": "string",
+            "nullable": true
+          },
+          "swaggerUri": {
+            "type": "string",
+            "format": "uri",
+            "nullable": true
+          },
+          "linkedPipelineDraftId": {
+            "type": "string",
+            "nullable": true
+          },
+          "linkedPipelineRunId": {
+            "type": "string",
+            "nullable": true
+          },
+          "warning": {
+            "type": "string",
+            "nullable": true
+          },
+          "name": {
+            "type": "string",
+            "nullable": true
+          },
+          "description": {
+            "type": "string",
+            "nullable": true
+          },
+          "id": {
+            "type": "string",
+            "nullable": true
+          },
+          "createdTime": {
+            "type": "string",
+            "format": "date-time",
+            "nullable": true
+          },
+          "updatedTime": {
+            "type": "string",
+            "format": "date-time",
+            "nullable": true
+          },
+          "computeName": {
+            "type": "string",
+            "nullable": true
+          },
+          "updatedBy": {
+            "type": "string",
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "RealTimeEndpointInfo": {
+        "type": "object",
+        "properties": {
+          "webServiceInputs": {
+            "type": "array",
+            "items": {
+              "$ref": "#/components/schemas/WebServicePort"
+            },
+            "nullable": true
+          },
+          "webServiceOutputs": {
+            "type": "array",
+            "items": {
+              "$ref": "#/components/schemas/WebServicePort"
+            },
+            "nullable": true
+          },
+          "deploymentsInfo": {
+            "type": "array",
+            "items": {
+              "$ref": "#/components/schemas/DeploymentInfo"
+            },
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "RealTimeEndpointInternalStepCode": {
+        "enum": [
+          "AboutToDeploy",
+          "WaitAksComputeReady",
+          "RegisterModels",
+          "CreateServiceFromModels",
+          "UpdateServiceFromModels",
+          "WaitServiceCreating",
+          "FetchServiceRelatedInfo",
+          "TestWithSampleData",
+          "AboutToDelete",
+          "DeleteDeployment",
+          "DeleteAsset",
+          "DeleteImage",
+          "DeleteModel",
+          "DeleteServiceRecord"
+        ],
+        "type": "string"
+      },
+      "RealTimeEndpointOpCode": {
+        "enum": [
+          "Create",
+          "Update",
+          "Delete"
+        ],
+        "type": "string"
+      },
+      "RealTimeEndpointOpStatusCode": {
+        "enum": [
+          "Ongoing",
+          "Succeeded",
+          "Failed",
+          "SucceededWithWarning"
+        ],
+        "type": "string"
+      },
+      "RealTimeEndpointStatus": {
+        "type": "object",
+        "properties": {
+          "lastOperation": {
+            "$ref": "#/components/schemas/RealTimeEndpointOpCode"
+          },
+          "lastOperationStatus": {
+            "$ref": "#/components/schemas/RealTimeEndpointOpStatusCode"
+          },
+          "internalStep": {
+            "$ref": "#/components/schemas/RealTimeEndpointInternalStepCode"
+          },
+          "statusDetail": {
+            "type": "string",
+            "nullable": true
+          },
+          "deploymentState": {
+            "type": "string",
+            "nullable": true
+          },
+          "serviceId": {
+            "type": "string",
+            "nullable": true
+          },
+          "linkedPipelineDraftId": {
+            "type": "string",
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "RealTimeEndpointSummary": {
+        "type": "object",
+        "properties": {
+          "name": {
+            "type": "string",
+            "nullable": true
+          },
+          "description": {
+            "type": "string",
+            "nullable": true
+          },
+          "id": {
+            "type": "string",
+            "nullable": true
+          },
+          "createdTime": {
+            "type": "string",
+            "format": "date-time",
+            "nullable": true
+          },
+          "updatedTime": {
+            "type": "string",
+            "format": "date-time",
+            "nullable": true
+          },
+          "computeType": {
+            "$ref": "#/components/schemas/ComputeEnvironmentType"
+          },
+          "computeName": {
+            "type": "string",
+            "nullable": true
+          },
+          "updatedBy": {
+            "type": "string",
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "RealTimeEndpointTestRequest": {
+        "type": "object",
+        "properties": {
+          "endPoint": {
+            "type": "string",
+            "nullable": true
+          },
+          "authKey": {
+            "type": "string",
+            "nullable": true
+          },
+          "payload": {
+            "type": "string",
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "Recurrence": {
+        "type": "object",
+        "properties": {
+          "frequency": {
+            "$ref": "#/components/schemas/Frequency"
+          },
+          "interval": {
+            "type": "integer",
+            "format": "int32"
+          },
+          "schedule": {
+            "$ref": "#/components/schemas/RecurrenceSchedule"
+          },
+          "endTime": {
+            "type": "string",
+            "nullable": true
+          },
+          "startTime": {
+            "type": "string",
+            "nullable": true
+          },
+          "timeZone": {
+            "type": "string",
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "RecurrenceFrequency": {
+        "enum": [
+          "Minute",
+          "Hour",
+          "Day",
+          "Week",
+          "Month"
+        ],
+        "type": "string"
+      },
+      "RecurrencePattern": {
+        "type": "object",
+        "properties": {
+          "hours": {
+            "type": "array",
+            "items": {
+              "type": "integer",
+              "format": "int32"
+            },
+            "nullable": true
+          },
+          "minutes": {
+            "type": "array",
+            "items": {
+              "type": "integer",
+              "format": "int32"
+            },
+            "nullable": true
+          },
+          "weekdays": {
+            "type": "array",
+            "items": {
+              "$ref": "#/components/schemas/Weekday"
+            },
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "RecurrenceSchedule": {
+        "type": "object",
+        "properties": {
+          "hours": {
+            "type": "array",
+            "items": {
+              "type": "integer",
+              "format": "int32"
+            },
+            "nullable": true
+          },
+          "minutes": {
+            "type": "array",
+            "items": {
+              "type": "integer",
+              "format": "int32"
+            },
+            "nullable": true
+          },
+          "weekDays": {
+            "type": "array",
+            "items": {
+              "$ref": "#/components/schemas/WeekDays"
+            },
+            "nullable": true
+          },
+          "monthDays": {
+            "type": "array",
+            "items": {
+              "type": "integer",
+              "format": "int32"
+            },
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "RegenerateServiceKeysRequest": {
+        "type": "object",
+        "properties": {
+          "keyType": {
+            "$ref": "#/components/schemas/KeyType"
+          },
+          "keyValue": {
+            "type": "string",
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "RegisterComponentMetaInfo": {
+        "type": "object",
+        "properties": {
+          "amlModuleName": {
+            "type": "string",
+            "nullable": true
+          },
+          "nameOnlyDisplayInfo": {
+            "type": "string",
+            "nullable": true
+          },
+          "name": {
+            "type": "string",
+            "nullable": true
+          },
+          "version": {
+            "type": "string",
+            "nullable": true
+          },
+          "moduleVersionId": {
+            "type": "string",
+            "nullable": true
+          },
+          "snapshotId": {
+            "type": "string",
+            "nullable": true
+          },
+          "componentRegistrationType": {
+            "$ref": "#/components/schemas/ComponentRegistrationTypeEnum"
+          },
+          "moduleEntityFromYaml": {
+            "$ref": "#/components/schemas/ModuleEntity"
+          },
+          "setAsDefaultVersion": {
+            "type": "boolean"
+          },
+          "dataTypesFromYaml": {
+            "type": "array",
+            "items": {
+              "$ref": "#/components/schemas/DataTypeCreationInfo"
+            },
+            "nullable": true
+          },
+          "dataTypeMechanism": {
+            "$ref": "#/components/schemas/DataTypeMechanism"
+          },
+          "identifierHash": {
+            "type": "string",
+            "nullable": true
+          },
+          "identifierHashes": {
+            "type": "object",
+            "properties": {
+              "IdentifierHash": {
+                "type": "string"
+              },
+              "IdentifierHashV2": {
+                "type": "string"
+              }
+            },
+            "additionalProperties": false,
+            "nullable": true
+          },
+          "contentHash": {
+            "type": "string",
+            "nullable": true
+          },
+          "extraHash": {
+            "type": "string",
+            "nullable": true
+          },
+          "extraHashes": {
+            "type": "object",
+            "properties": {
+              "IdentifierHash": {
+                "type": "string"
+              },
+              "IdentifierHashV2": {
+                "type": "string"
+              }
+            },
+            "additionalProperties": false,
+            "nullable": true
+          },
+          "registration": {
+            "type": "boolean",
+            "nullable": true
+          },
+          "validateOnly": {
+            "type": "boolean"
+          },
+          "skipWorkspaceRelatedCheck": {
+            "type": "boolean"
+          },
+          "intellectualPropertyProtectedWorkspaceComponentRegistrationAllowedPublisher": {
+            "type": "array",
+            "items": {
+              "type": "string"
+            },
+            "nullable": true
+          },
+          "systemManagedRegistration": {
+            "type": "boolean"
+          },
+          "allowDupNameBetweenInputAndOuputPort": {
+            "type": "boolean"
+          },
+          "moduleSource": {
+            "type": "string",
+            "nullable": true
+          },
+          "moduleScope": {
+            "type": "string",
+            "nullable": true
+          },
+          "moduleAdditionalIncludesCount": {
+            "type": "integer",
+            "format": "int32",
+            "nullable": true
+          },
+          "moduleOSType": {
+            "type": "string",
+            "nullable": true
+          },
+          "moduleCodegenBy": {
+            "type": "string",
+            "nullable": true
+          },
+          "moduleClientSource": {
+            "type": "string",
+            "nullable": true
+          },
+          "moduleIsBuiltin": {
+            "type": "boolean"
+          },
+          "moduleRegisterEventExtensionFields": {
+            "type": "object",
+            "additionalProperties": {
+              "type": "string",
+              "nullable": true
+            },
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "RegisterRegistryComponentMetaInfo": {
+        "type": "object",
+        "properties": {
+          "registryName": {
+            "type": "string",
+            "nullable": true
+          },
+          "intellectualPropertyPublisherInformation": {
+            "$ref": "#/components/schemas/IntellectualPropertyPublisherInformation"
+          },
+          "blobReferenceData": {
+            "type": "object",
+            "additionalProperties": {
+              "$ref": "#/components/schemas/RegistryBlobReferenceData"
+            },
+            "description": "This is a dictionary",
+            "nullable": true
+          },
+          "amlModuleName": {
+            "type": "string",
+            "nullable": true
+          },
+          "nameOnlyDisplayInfo": {
+            "type": "string",
+            "nullable": true
+          },
+          "name": {
+            "type": "string",
+            "nullable": true
+          },
+          "version": {
+            "type": "string",
+            "nullable": true
+          },
+          "moduleVersionId": {
+            "type": "string",
+            "nullable": true
+          },
+          "snapshotId": {
+            "type": "string",
+            "nullable": true
+          },
+          "componentRegistrationType": {
+            "$ref": "#/components/schemas/ComponentRegistrationTypeEnum"
+          },
+          "moduleEntityFromYaml": {
+            "$ref": "#/components/schemas/ModuleEntity"
+          },
+          "setAsDefaultVersion": {
+            "type": "boolean"
+          },
+          "dataTypesFromYaml": {
+            "type": "array",
+            "items": {
+              "$ref": "#/components/schemas/DataTypeCreationInfo"
+            },
+            "nullable": true
+          },
+          "dataTypeMechanism": {
+            "$ref": "#/components/schemas/DataTypeMechanism"
+          },
+          "identifierHash": {
+            "type": "string",
+            "nullable": true
+          },
+          "identifierHashes": {
+            "type": "object",
+            "properties": {
+              "IdentifierHash": {
+                "type": "string"
+              },
+              "IdentifierHashV2": {
+                "type": "string"
+              }
+            },
+            "additionalProperties": false,
+            "nullable": true
+          },
+          "contentHash": {
+            "type": "string",
+            "nullable": true
+          },
+          "extraHash": {
+            "type": "string",
+            "nullable": true
+          },
+          "extraHashes": {
+            "type": "object",
+            "properties": {
+              "IdentifierHash": {
+                "type": "string"
+              },
+              "IdentifierHashV2": {
+                "type": "string"
+              }
+            },
+            "additionalProperties": false,
+            "nullable": true
+          },
+          "registration": {
+            "type": "boolean",
+            "nullable": true
+          },
+          "validateOnly": {
+            "type": "boolean"
+          },
+          "skipWorkspaceRelatedCheck": {
+            "type": "boolean"
+          },
+          "intellectualPropertyProtectedWorkspaceComponentRegistrationAllowedPublisher": {
+            "type": "array",
+            "items": {
+              "type": "string"
+            },
+            "nullable": true
+          },
+          "systemManagedRegistration": {
+            "type": "boolean"
+          },
+          "allowDupNameBetweenInputAndOuputPort": {
+            "type": "boolean"
+          },
+          "moduleSource": {
+            "type": "string",
+            "nullable": true
+          },
+          "moduleScope": {
+            "type": "string",
+            "nullable": true
+          },
+          "moduleAdditionalIncludesCount": {
+            "type": "integer",
+            "format": "int32",
+            "nullable": true
+          },
+          "moduleOSType": {
+            "type": "string",
+            "nullable": true
+          },
+          "moduleCodegenBy": {
+            "type": "string",
+            "nullable": true
+          },
+          "moduleClientSource": {
+            "type": "string",
+            "nullable": true
+          },
+          "moduleIsBuiltin": {
+            "type": "boolean"
+          },
+          "moduleRegisterEventExtensionFields": {
+            "type": "object",
+            "additionalProperties": {
+              "type": "string",
+              "nullable": true
+            },
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "RegisteredDataSetReference": {
+        "type": "object",
+        "properties": {
+          "id": {
+            "type": "string",
+            "nullable": true
+          },
+          "name": {
+            "type": "string",
+            "nullable": true
+          },
+          "version": {
+            "type": "string",
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "RegistrationOptions": {
+        "type": "object",
+        "properties": {
+          "name": {
+            "type": "string",
+            "nullable": true
+          },
+          "version": {
+            "type": "string",
+            "nullable": true
+          },
+          "description": {
+            "type": "string",
+            "nullable": true
+          },
+          "tags": {
+            "type": "object",
+            "additionalProperties": {
+              "type": "string",
+              "nullable": true
+            },
+            "nullable": true
+          },
+          "properties": {
+            "type": "object",
+            "additionalProperties": {
+              "type": "string",
+              "nullable": true
+            },
+            "nullable": true
+          },
+          "datasetRegistrationOptions": {
+            "$ref": "#/components/schemas/DatasetRegistrationOptions"
+          }
+        },
+        "additionalProperties": false
+      },
+      "RegistryBlobReferenceData": {
+        "type": "object",
+        "properties": {
+          "dataReferenceId": {
+            "type": "string",
+            "nullable": true
+          },
+          "data": {
+            "type": "string",
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "RegistryIdentity": {
+        "type": "object",
+        "properties": {
+          "resourceId": {
+            "type": "string",
+            "nullable": true
+          },
+          "clientId": {
+            "type": "string",
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "Relationship": {
+        "type": "object",
+        "properties": {
+          "relationType": {
+            "type": "string",
+            "nullable": true
+          },
+          "targetEntityId": {
+            "type": "string",
+            "nullable": true
+          },
+          "assetId": {
+            "type": "string",
+            "nullable": true
+          },
+          "entityType": {
+            "type": "string",
+            "nullable": true,
+            "readOnly": true
+          },
+          "direction": {
+            "type": "string",
+            "nullable": true
+          },
+          "entityContainerId": {
+            "type": "string",
+            "nullable": true,
+            "readOnly": true
+          }
+        }
+      },
+      "RemoteDockerComputeInfo": {
+        "type": "object",
+        "properties": {
+          "address": {
+            "type": "string",
+            "nullable": true
+          },
+          "username": {
+            "type": "string",
+            "nullable": true
+          },
+          "password": {
+            "type": "string",
+            "nullable": true
+          },
+          "privateKey": {
+            "type": "string",
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "ResourceConfig": {
+        "type": "object",
+        "properties": {
+          "gpuCount": {
+            "type": "integer",
+            "format": "int32",
+            "nullable": true
+          },
+          "cpuCount": {
+            "type": "integer",
+            "format": "int32",
+            "nullable": true
+          },
+          "memoryRequestInGB": {
+            "type": "integer",
+            "format": "int32",
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "ResourceConfiguration": {
+        "type": "object",
+        "properties": {
+          "gpuCount": {
+            "type": "integer",
+            "format": "int32",
+            "nullable": true
+          },
+          "cpuCount": {
+            "type": "integer",
+            "format": "int32",
+            "nullable": true
+          },
+          "memoryRequestInGB": {
+            "type": "integer",
+            "format": "int32",
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "ResourcesSetting": {
+        "type": "object",
+        "properties": {
+          "instanceSize": {
+            "type": "string",
+            "nullable": true
+          },
+          "sparkVersion": {
+            "type": "string",
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "ResumeBulkRunRequest": {
+        "type": "object",
+        "properties": {
+          "runId": {
+            "type": "string",
+            "nullable": true
+          },
+          "runDisplayName": {
+            "type": "string",
+            "nullable": true
+          },
+          "description": {
+            "type": "string",
+            "nullable": true
+          },
+          "tags": {
+            "type": "object",
+            "additionalProperties": {
+              "type": "string"
+            },
+            "description": "This is a dictionary",
+            "nullable": true
+          },
+          "resumeFromRunId": {
+            "type": "string",
+            "nullable": true
+          },
+          "runtimeName": {
+            "type": "string",
+            "nullable": true
+          },
+          "vmSize": {
+            "type": "string",
+            "nullable": true
+          },
+          "maxIdleTimeSeconds": {
+            "type": "integer",
+            "format": "int64",
+            "nullable": true
+          },
+          "identity": {
+            "type": "string",
+            "nullable": true
+          },
+          "computeName": {
+            "type": "string",
+            "nullable": true
+          },
+          "enableMultiContainer": {
+            "type": "boolean"
+          }
+        },
+        "additionalProperties": false
+      },
+      "RetrieveToolFuncResultRequest": {
+        "type": "object",
+        "properties": {
+          "func_path": {
+            "type": "string",
+            "nullable": true
+          },
+          "func_kwargs": {
+            "type": "object",
+            "additionalProperties": { },
+            "description": "This is a dictionary",
+            "nullable": true
+          },
+          "func_call_scenario": {
+            "$ref": "#/components/schemas/ToolFuncCallScenario"
+          }
+        },
+        "additionalProperties": false
+      },
+      "RetryConfiguration": {
+        "type": "object",
+        "properties": {
+          "maxRetryCount": {
+            "type": "integer",
+            "format": "int32",
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "RootError": {
+        "type": "object",
+        "properties": {
+          "code": {
+            "type": "string",
+            "description": "The service-defined error code. Supported error codes: ServiceError, UserError, ValidationError, AzureStorageError, TransientError, RequestThrottled.",
+            "nullable": true
+          },
+          "severity": {
+            "type": "integer",
+            "description": "The Severity of error",
+            "format": "int32",
+            "nullable": true
+          },
+          "message": {
+            "type": "string",
+            "description": "A human-readable representation of the error.",
+            "nullable": true
+          },
+          "messageFormat": {
+            "type": "string",
+            "description": "An unformatted version of the message with no variable substitution.",
+            "nullable": true
+          },
+          "messageParameters": {
+            "type": "object",
+            "additionalProperties": {
+              "type": "string",
+              "nullable": true
+            },
+            "description": "Value substitutions corresponding to the contents of MessageFormat.",
+            "nullable": true
+          },
+          "referenceCode": {
+            "type": "string",
+            "description": "This code can optionally be set by the system generating the error.\r\nIt should be used to classify the problem and identify the module and code area where the failure occured.",
+            "nullable": true
+          },
+          "detailsUri": {
+            "type": "string",
+            "description": "A URI which points to more details about the context of the error.",
+            "format": "uri",
+            "nullable": true
+          },
+          "target": {
+            "type": "string",
+            "description": "The target of the error (e.g., the name of the property in error).",
+            "nullable": true
+          },
+          "details": {
+            "type": "array",
+            "items": {
+              "$ref": "#/components/schemas/RootError"
+            },
+            "description": "The related errors that occurred during the request.",
+            "nullable": true
+          },
+          "innerError": {
+            "$ref": "#/components/schemas/InnerErrorResponse"
+          },
+          "additionalInfo": {
+            "type": "array",
+            "items": {
+              "$ref": "#/components/schemas/ErrorAdditionalInfo"
+            },
+            "description": "The error additional info.",
+            "nullable": true
+          }
+        },
+        "additionalProperties": false,
+        "description": "The root error."
+      },
+      "RunAnnotations": {
+        "type": "object",
+        "properties": {
+          "displayName": {
+            "type": "string",
+            "nullable": true
+          },
+          "status": {
+            "type": "string",
+            "nullable": true
+          },
+          "primaryMetricName": {
+            "type": "string",
+            "nullable": true
+          },
+          "estimatedCost": {
+            "type": "number",
+            "format": "double",
+            "nullable": true
+          },
+          "primaryMetricSummary": {
+            "$ref": "#/components/schemas/RunIndexMetricSummary"
+          },
+          "metrics": {
+            "type": "object",
+            "additionalProperties": {
+              "$ref": "#/components/schemas/RunIndexMetricSummarySystemObject"
+            },
+            "nullable": true
+          },
+          "parameters": {
+            "type": "object",
+            "additionalProperties": {
+              "nullable": true
+            },
+            "nullable": true
+          },
+          "settings": {
+            "type": "object",
+            "additionalProperties": {
+              "type": "string",
+              "nullable": true
+            },
+            "nullable": true
+          },
+          "modifiedTime": {
+            "type": "string",
+            "format": "date-time",
+            "nullable": true
+          },
+          "retainForLifetimeOfWorkspace": {
+            "type": "boolean",
+            "nullable": true
+          },
+          "error": {
+            "$ref": "#/components/schemas/IndexedErrorResponse"
+          },
+          "resourceMetricSummary": {
+            "$ref": "#/components/schemas/RunIndexResourceMetricSummary"
+          },
+          "jobCost": {
+            "$ref": "#/components/schemas/JobCost"
+          },
+          "computeDuration": {
+            "type": "string",
+            "format": "date-span",
+            "nullable": true
+          },
+          "computeDurationMilliseconds": {
+            "type": "number",
+            "format": "double",
+            "nullable": true
+          },
+          "effectiveStartTimeUtc": {
+            "type": "string",
+            "format": "date-time",
+            "nullable": true
+          },
+          "name": {
+            "type": "string",
+            "nullable": true
+          },
+          "description": {
+            "type": "string",
+            "nullable": true
+          },
+          "archived": {
+            "type": "boolean"
+          },
+          "tags": {
+            "type": "object",
+            "additionalProperties": {
+              "type": "string",
+              "nullable": true
+            },
+            "nullable": true
+          }
+        }
+      },
+      "RunCommandsCommandResult": {
+        "type": "object",
+        "properties": {
+          "command": {
+            "type": "string",
+            "nullable": true
+          },
+          "arguments": {
+            "type": "array",
+            "items": {
+              "type": "string"
+            },
+            "nullable": true
+          },
+          "exit_code": {
+            "type": "integer",
+            "format": "int32"
+          },
+          "stdout": {
+            "type": "string",
+            "nullable": true
+          },
+          "stderr": {
+            "type": "string",
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "RunConfiguration": {
+        "type": "object",
+        "properties": {
+          "script": {
+            "type": "string",
+            "nullable": true
+          },
+          "scriptType": {
+            "$ref": "#/components/schemas/ScriptType"
+          },
+          "command": {
+            "type": "string",
+            "nullable": true
+          },
+          "useAbsolutePath": {
+            "type": "boolean"
+          },
+          "arguments": {
+            "type": "array",
+            "items": {
+              "type": "string"
+            },
+            "nullable": true
+          },
+          "framework": {
+            "$ref": "#/components/schemas/Framework"
+          },
+          "communicator": {
+            "$ref": "#/components/schemas/Communicator"
+          },
+          "target": {
+            "type": "string",
+            "nullable": true
+          },
+          "autoClusterComputeSpecification": {
+            "$ref": "#/components/schemas/AutoClusterComputeSpecification"
+          },
+          "dataReferences": {
+            "type": "object",
+            "additionalProperties": {
+              "$ref": "#/components/schemas/DataReferenceConfiguration"
+            },
+            "nullable": true
+          },
+          "data": {
+            "type": "object",
+            "additionalProperties": {
+              "$ref": "#/components/schemas/Data"
+            },
+            "nullable": true
+          },
+          "inputAssets": {
+            "type": "object",
+            "additionalProperties": {
+              "$ref": "#/components/schemas/InputAsset"
+            },
+            "nullable": true
+          },
+          "outputData": {
+            "type": "object",
+            "additionalProperties": {
+              "$ref": "#/components/schemas/OutputData"
+            },
+            "nullable": true
+          },
+          "datacaches": {
+            "type": "array",
+            "items": {
+              "$ref": "#/components/schemas/DatacacheConfiguration"
+            },
+            "nullable": true
+          },
+          "jobName": {
+            "type": "string",
+            "nullable": true
+          },
+          "maxRunDurationSeconds": {
+            "type": "integer",
+            "format": "int64",
+            "nullable": true
+          },
+          "nodeCount": {
+            "type": "integer",
+            "format": "int32",
+            "nullable": true
+          },
+          "maxNodeCount": {
+            "type": "integer",
+            "format": "int32",
+            "nullable": true
+          },
+          "instanceTypes": {
+            "type": "array",
+            "items": {
+              "type": "string"
+            },
+            "nullable": true
+          },
+          "priority": {
+            "type": "integer",
+            "format": "int32",
+            "nullable": true
+          },
+          "credentialPassthrough": {
+            "type": "boolean"
+          },
+          "identity": {
+            "$ref": "#/components/schemas/IdentityConfiguration"
+          },
+          "environment": {
+            "$ref": "#/components/schemas/EnvironmentDefinition"
+          },
+          "history": {
+            "$ref": "#/components/schemas/HistoryConfiguration"
+          },
+          "spark": {
+            "$ref": "#/components/schemas/SparkConfiguration"
+          },
+          "parallelTask": {
+            "$ref": "#/components/schemas/ParallelTaskConfiguration"
+          },
+          "tensorflow": {
+            "$ref": "#/components/schemas/TensorflowConfiguration"
+          },
+          "mpi": {
+            "$ref": "#/components/schemas/MpiConfiguration"
+          },
+          "pyTorch": {
+            "$ref": "#/components/schemas/PyTorchConfiguration"
+          },
+          "ray": {
+            "$ref": "#/components/schemas/RayConfiguration"
+          },
+          "hdi": {
+            "$ref": "#/components/schemas/HdiConfiguration"
+          },
+          "docker": {
+            "$ref": "#/components/schemas/DockerConfiguration"
+          },
+          "commandReturnCodeConfig": {
+            "$ref": "#/components/schemas/CommandReturnCodeConfig"
+          },
+          "environmentVariables": {
+            "type": "object",
+            "additionalProperties": {
+              "type": "string",
+              "nullable": true
+            },
+            "nullable": true
+          },
+          "applicationEndpoints": {
+            "type": "object",
+            "additionalProperties": {
+              "$ref": "#/components/schemas/ApplicationEndpointConfiguration"
+            },
+            "nullable": true
+          },
+          "parameters": {
+            "type": "array",
+            "items": {
+              "$ref": "#/components/schemas/ParameterDefinition"
+            },
+            "nullable": true
+          },
+          "autologgerSettings": {
+            "$ref": "#/components/schemas/AutologgerSettings"
+          },
+          "dataBricks": {
+            "$ref": "#/components/schemas/DatabricksConfiguration"
+          },
+          "trainingDiagnosticConfig": {
+            "$ref": "#/components/schemas/TrainingDiagnosticConfiguration"
+          },
+          "secretsConfiguration": {
+            "type": "object",
+            "additionalProperties": {
+              "$ref": "#/components/schemas/SecretConfiguration"
+            },
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "RunDatasetReference": {
+        "type": "object",
+        "properties": {
+          "id": {
+            "type": "string",
+            "nullable": true
+          },
+          "name": {
+            "type": "string",
+            "nullable": true
+          },
+          "version": {
+            "type": "string",
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "RunDefinition": {
+        "type": "object",
+        "properties": {
+          "configuration": {
+            "$ref": "#/components/schemas/RunConfiguration"
+          },
+          "snapshotId": {
+            "type": "string",
+            "format": "uuid",
+            "nullable": true
+          },
+          "snapshots": {
+            "type": "array",
+            "items": {
+              "$ref": "#/components/schemas/Snapshot"
+            },
+            "nullable": true
+          },
+          "parentRunId": {
+            "type": "string",
+            "nullable": true
+          },
+          "runType": {
+            "type": "string",
+            "nullable": true
+          },
+          "displayName": {
+            "type": "string",
+            "nullable": true
+          },
+          "environmentAssetId": {
+            "type": "string",
+            "nullable": true
+          },
+          "primaryMetricName": {
+            "type": "string",
+            "nullable": true
+          },
+          "description": {
+            "type": "string",
+            "nullable": true
+          },
+          "cancelReason": {
+            "type": "string",
+            "nullable": true
+          },
+          "properties": {
+            "type": "object",
+            "additionalProperties": {
+              "type": "string",
+              "nullable": true
+            },
+            "nullable": true
+          },
+          "tags": {
+            "type": "object",
+            "additionalProperties": {
+              "type": "string",
+              "nullable": true
+            },
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "RunDetailsDto": {
+        "type": "object",
+        "properties": {
+          "runId": {
+            "type": "string",
+            "nullable": true
+          },
+          "runUuid": {
+            "type": "string",
+            "format": "uuid",
+            "nullable": true
+          },
+          "parentRunUuid": {
+            "type": "string",
+            "format": "uuid",
+            "nullable": true
+          },
+          "rootRunUuid": {
+            "type": "string",
+            "format": "uuid",
+            "nullable": true
+          },
+          "target": {
+            "type": "string",
+            "nullable": true
+          },
+          "status": {
+            "type": "string",
+            "nullable": true
+          },
+          "parentRunId": {
+            "type": "string",
+            "nullable": true
+          },
+          "dataContainerId": {
+            "type": "string",
+            "nullable": true
+          },
+          "createdTimeUtc": {
+            "type": "string",
+            "format": "date-time",
+            "nullable": true
+          },
+          "startTimeUtc": {
+            "type": "string",
+            "format": "date-time",
+            "nullable": true
+          },
+          "endTimeUtc": {
+            "type": "string",
+            "format": "date-time",
+            "nullable": true
+          },
+          "error": {
+            "$ref": "#/components/schemas/ErrorResponse"
+          },
+          "warnings": {
+            "type": "array",
+            "items": {
+              "$ref": "#/components/schemas/RunDetailsWarningDto"
+            },
+            "nullable": true
+          },
+          "tags": {
+            "type": "object",
+            "additionalProperties": {
+              "type": "string"
+            },
+            "description": "This is a dictionary",
+            "nullable": true
+          },
+          "properties": {
+            "type": "object",
+            "additionalProperties": {
+              "type": "string"
+            },
+            "description": "This is a dictionary",
+            "nullable": true
+          },
+          "parameters": {
+            "type": "object",
+            "additionalProperties": {
+              "nullable": true
+            },
+            "nullable": true
+          },
+          "services": {
+            "type": "object",
+            "additionalProperties": {
+              "$ref": "#/components/schemas/EndpointSetting"
+            },
+            "description": "This is a dictionary",
+            "nullable": true
+          },
+          "inputDatasets": {
+            "uniqueItems": true,
+            "type": "array",
+            "items": {
+              "$ref": "#/components/schemas/DatasetLineage"
+            },
+            "nullable": true
+          },
+          "outputDatasets": {
+            "uniqueItems": true,
+            "type": "array",
+            "items": {
+              "$ref": "#/components/schemas/OutputDatasetLineage"
+            },
+            "nullable": true
+          },
+          "runDefinition": {
+            "nullable": true
+          },
+          "logFiles": {
+            "type": "object",
+            "additionalProperties": {
+              "type": "string"
+            },
+            "description": "This is a dictionary",
+            "nullable": true
+          },
+          "jobCost": {
+            "$ref": "#/components/schemas/JobCost"
+          },
+          "revision": {
+            "type": "integer",
+            "format": "int64",
+            "nullable": true
+          },
+          "runTypeV2": {
+            "$ref": "#/components/schemas/RunTypeV2"
+          },
+          "settings": {
+            "type": "object",
+            "additionalProperties": {
+              "type": "string"
+            },
+            "description": "This is a dictionary",
+            "nullable": true
+          },
+          "computeRequest": {
+            "$ref": "#/components/schemas/ComputeRequest"
+          },
+          "compute": {
+            "$ref": "#/components/schemas/Compute"
+          },
+          "createdBy": {
+            "$ref": "#/components/schemas/User"
+          },
+          "computeDuration": {
+            "type": "string",
+            "format": "date-span",
+            "nullable": true
+          },
+          "effectiveStartTimeUtc": {
+            "type": "string",
+            "format": "date-time",
+            "nullable": true
+          },
+          "runNumber": {
+            "type": "integer",
+            "format": "int32",
+            "nullable": true
+          },
+          "rootRunId": {
+            "type": "string",
+            "nullable": true
+          },
+          "experimentId": {
+            "type": "string",
+            "nullable": true
+          },
+          "userId": {
+            "type": "string",
+            "nullable": true
+          },
+          "statusRevision": {
+            "type": "integer",
+            "format": "int64",
+            "nullable": true
+          },
+          "currentComputeTime": {
+            "type": "string",
+            "format": "date-span",
+            "nullable": true
+          },
+          "lastStartTimeUtc": {
+            "type": "string",
+            "format": "date-time",
+            "nullable": true
+          },
+          "lastModifiedBy": {
+            "$ref": "#/components/schemas/User"
+          },
+          "lastModifiedUtc": {
+            "type": "string",
+            "format": "date-time",
+            "nullable": true
+          },
+          "duration": {
+            "type": "string",
+            "format": "date-span",
+            "nullable": true
+          },
+          "inputs": {
+            "type": "object",
+            "additionalProperties": {
+              "$ref": "#/components/schemas/TypedAssetReference"
+            },
+            "nullable": true
+          },
+          "outputs": {
+            "type": "object",
+            "additionalProperties": {
+              "$ref": "#/components/schemas/TypedAssetReference"
+            },
+            "nullable": true
+          },
+          "currentAttemptId": {
+            "type": "integer",
+            "format": "int32",
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "RunDetailsWarningDto": {
+        "type": "object",
+        "properties": {
+          "source": {
+            "type": "string",
+            "nullable": true
+          },
+          "message": {
+            "type": "string",
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "RunDisplayNameGenerationType": {
+        "enum": [
+          "AutoAppend",
+          "UserProvidedMacro"
+        ],
+        "type": "string"
+      },
+      "RunDto": {
+        "type": "object",
+        "properties": {
+          "runNumber": {
+            "type": "integer",
+            "format": "int32",
+            "nullable": true
+          },
+          "rootRunId": {
+            "type": "string",
+            "nullable": true
+          },
+          "createdUtc": {
+            "type": "string",
+            "format": "date-time",
+            "nullable": true
+          },
+          "createdBy": {
+            "$ref": "#/components/schemas/User"
+          },
+          "userId": {
+            "type": "string",
+            "nullable": true
+          },
+          "token": {
+            "type": "string",
+            "nullable": true
+          },
+          "tokenExpiryTimeUtc": {
+            "type": "string",
+            "format": "date-time",
+            "nullable": true
+          },
+          "error": {
+            "$ref": "#/components/schemas/ErrorResponse"
+          },
+          "warnings": {
+            "type": "array",
+            "items": {
+              "$ref": "#/components/schemas/RunDetailsWarningDto"
+            },
+            "nullable": true
+          },
+          "revision": {
+            "type": "integer",
+            "format": "int64",
+            "nullable": true
+          },
+          "statusRevision": {
+            "type": "integer",
+            "format": "int64",
+            "nullable": true
+          },
+          "runUuid": {
+            "type": "string",
+            "format": "uuid",
+            "nullable": true
+          },
+          "parentRunUuid": {
+            "type": "string",
+            "format": "uuid",
+            "nullable": true
+          },
+          "rootRunUuid": {
+            "type": "string",
+            "format": "uuid",
+            "nullable": true
+          },
+          "lastStartTimeUtc": {
+            "type": "string",
+            "format": "date-time",
+            "nullable": true
+          },
+          "currentComputeTime": {
+            "type": "string",
+            "format": "date-span",
+            "nullable": true
+          },
+          "computeDuration": {
+            "type": "string",
+            "format": "date-span",
+            "nullable": true
+          },
+          "effectiveStartTimeUtc": {
+            "type": "string",
+            "format": "date-time",
+            "nullable": true
+          },
+          "lastModifiedBy": {
+            "$ref": "#/components/schemas/User"
+          },
+          "lastModifiedUtc": {
+            "type": "string",
+            "format": "date-time",
+            "nullable": true
+          },
+          "duration": {
+            "type": "string",
+            "format": "date-span",
+            "nullable": true
+          },
+          "cancelationReason": {
+            "type": "string",
+            "nullable": true
+          },
+          "currentAttemptId": {
+            "type": "integer",
+            "format": "int32",
+            "nullable": true
+          },
+          "runId": {
+            "type": "string",
+            "nullable": true
+          },
+          "parentRunId": {
+            "type": "string",
+            "nullable": true
+          },
+          "experimentId": {
+            "type": "string",
+            "nullable": true
+          },
+          "status": {
+            "type": "string",
+            "nullable": true
+          },
+          "startTimeUtc": {
+            "type": "string",
+            "format": "date-time",
+            "nullable": true
+          },
+          "endTimeUtc": {
+            "type": "string",
+            "format": "date-time",
+            "nullable": true
+          },
+          "scheduleId": {
+            "type": "string",
+            "nullable": true
+          },
+          "displayName": {
+            "type": "string",
+            "nullable": true
+          },
+          "name": {
+            "type": "string",
+            "nullable": true
+          },
+          "dataContainerId": {
+            "type": "string",
+            "nullable": true
+          },
+          "description": {
+            "type": "string",
+            "nullable": true
+          },
+          "hidden": {
+            "type": "boolean",
+            "nullable": true
+          },
+          "runType": {
+            "type": "string",
+            "nullable": true
+          },
+          "runTypeV2": {
+            "$ref": "#/components/schemas/RunTypeV2"
+          },
+          "properties": {
+            "type": "object",
+            "additionalProperties": {
+              "type": "string"
+            },
+            "description": "This is a dictionary",
+            "nullable": true
+          },
+          "parameters": {
+            "type": "object",
+            "additionalProperties": {
+              "nullable": true
+            },
+            "nullable": true
+          },
+          "actionUris": {
+            "type": "object",
+            "additionalProperties": {
+              "type": "string",
+              "nullable": true
+            },
+            "nullable": true
+          },
+          "scriptName": {
+            "type": "string",
+            "nullable": true
+          },
+          "target": {
+            "type": "string",
+            "nullable": true
+          },
+          "uniqueChildRunComputeTargets": {
+            "uniqueItems": true,
+            "type": "array",
+            "items": {
+              "type": "string"
+            },
+            "nullable": true
+          },
+          "tags": {
+            "type": "object",
+            "additionalProperties": {
+              "type": "string"
+            },
+            "description": "This is a dictionary",
+            "nullable": true
+          },
+          "settings": {
+            "type": "object",
+            "additionalProperties": {
+              "type": "string",
+              "nullable": true
+            },
+            "nullable": true
+          },
+          "services": {
+            "type": "object",
+            "additionalProperties": {
+              "$ref": "#/components/schemas/EndpointSetting"
+            },
+            "nullable": true
+          },
+          "inputDatasets": {
+            "uniqueItems": true,
+            "type": "array",
+            "items": {
+              "$ref": "#/components/schemas/DatasetLineage"
+            },
+            "nullable": true
+          },
+          "outputDatasets": {
+            "uniqueItems": true,
+            "type": "array",
+            "items": {
+              "$ref": "#/components/schemas/OutputDatasetLineage"
+            },
+            "nullable": true
+          },
+          "runDefinition": {
+            "nullable": true
+          },
+          "jobSpecification": {
+            "nullable": true
+          },
+          "primaryMetricName": {
+            "type": "string",
+            "nullable": true
+          },
+          "createdFrom": {
+            "$ref": "#/components/schemas/CreatedFromDto"
+          },
+          "cancelUri": {
+            "type": "string",
+            "nullable": true
+          },
+          "completeUri": {
+            "type": "string",
+            "nullable": true
+          },
+          "diagnosticsUri": {
+            "type": "string",
+            "nullable": true
+          },
+          "computeRequest": {
+            "$ref": "#/components/schemas/ComputeRequest"
+          },
+          "compute": {
+            "$ref": "#/components/schemas/Compute"
+          },
+          "retainForLifetimeOfWorkspace": {
+            "type": "boolean",
+            "nullable": true
+          },
+          "queueingInfo": {
+            "$ref": "#/components/schemas/QueueingInfo"
+          },
+          "inputs": {
+            "type": "object",
+            "additionalProperties": {
+              "$ref": "#/components/schemas/TypedAssetReference"
+            },
+            "nullable": true
+          },
+          "outputs": {
+            "type": "object",
+            "additionalProperties": {
+              "$ref": "#/components/schemas/TypedAssetReference"
+            },
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "RunIndexEntity": {
+        "type": "object",
+        "properties": {
+          "schemaId": {
+            "type": "string",
+            "nullable": true
+          },
+          "entityId": {
+            "type": "string",
+            "nullable": true
+          },
+          "kind": {
+            "$ref": "#/components/schemas/EntityKind"
+          },
+          "annotations": {
+            "$ref": "#/components/schemas/RunAnnotations"
+          },
+          "properties": {
+            "$ref": "#/components/schemas/RunProperties"
+          },
+          "internal": {
+            "$ref": "#/components/schemas/ExtensibleObject"
+          },
+          "updateSequence": {
+            "type": "integer",
+            "format": "int64"
+          },
+          "type": {
+            "type": "string",
+            "nullable": true
+          },
+          "version": {
+            "type": "string",
+            "nullable": true,
+            "readOnly": true
+          },
+          "entityContainerId": {
+            "type": "string",
+            "nullable": true,
+            "readOnly": true
+          },
+          "entityObjectId": {
+            "type": "string",
+            "nullable": true,
+            "readOnly": true
+          },
+          "resourceType": {
+            "type": "string",
+            "nullable": true,
+            "readOnly": true
+          },
+          "relationships": {
+            "type": "array",
+            "items": {
+              "$ref": "#/components/schemas/Relationship"
+            },
+            "nullable": true
+          },
+          "assetId": {
+            "type": "string",
+            "nullable": true
+          },
+          "usage": {
+            "$ref": "#/components/schemas/EntityUsage"
+          },
+          "isAFragment": {
+            "type": "boolean"
+          },
+          "fragmentId": {
+            "type": "string",
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "RunIndexMetricSummary": {
+        "type": "object",
+        "properties": {
+          "count": {
+            "type": "integer",
+            "format": "int64"
+          },
+          "lastValue": {
+            "nullable": true
+          },
+          "minimumValue": {
+            "nullable": true
+          },
+          "maximumValue": {
+            "nullable": true
+          },
+          "metricType": {
+            "type": "string",
+            "nullable": true
+          }
+        }
+      },
+      "RunIndexMetricSummarySystemObject": {
+        "type": "object",
+        "properties": {
+          "count": {
+            "type": "integer",
+            "format": "int64"
+          },
+          "lastValue": {
+            "nullable": true
+          },
+          "minimumValue": {
+            "nullable": true
+          },
+          "maximumValue": {
+            "nullable": true
+          },
+          "metricType": {
+            "type": "string",
+            "nullable": true
+          }
+        }
+      },
+      "RunIndexResourceMetricSummary": {
+        "type": "object",
+        "properties": {
+          "gpuUtilizationPercentLastHour": {
+            "type": "number",
+            "format": "double",
+            "nullable": true
+          },
+          "gpuMemoryUtilizationPercentLastHour": {
+            "type": "number",
+            "format": "double",
+            "nullable": true
+          },
+          "gpuEnergyJoules": {
+            "type": "number",
+            "format": "double",
+            "nullable": true
+          },
+          "resourceMetricNames": {
+            "type": "array",
+            "items": {
+              "type": "string"
+            },
+            "nullable": true
+          }
+        }
+      },
+      "RunMetricDto": {
+        "type": "object",
+        "properties": {
+          "runId": {
+            "type": "string",
+            "nullable": true
+          },
+          "metricId": {
+            "type": "string",
+            "format": "uuid"
+          },
+          "dataContainerId": {
+            "type": "string",
+            "nullable": true
+          },
+          "metricType": {
+            "type": "string",
+            "nullable": true
+          },
+          "createdUtc": {
+            "type": "string",
+            "format": "date-time",
+            "nullable": true
+          },
+          "name": {
+            "type": "string",
+            "nullable": true
+          },
+          "description": {
+            "type": "string",
+            "nullable": true
+          },
+          "label": {
+            "type": "string",
+            "nullable": true
+          },
+          "numCells": {
+            "type": "integer",
+            "format": "int32"
+          },
+          "dataLocation": {
+            "type": "string",
+            "nullable": true
+          },
+          "cells": {
+            "type": "array",
+            "items": {
+              "type": "object",
+              "additionalProperties": { },
+              "description": "This is a dictionary"
+            },
+            "nullable": true
+          },
+          "schema": {
+            "$ref": "#/components/schemas/MetricSchemaDto"
+          }
+        },
+        "additionalProperties": false
+      },
+      "RunMetricsTypesDto": {
+        "type": "object",
+        "properties": {
+          "name": {
+            "type": "string",
+            "nullable": true
+          },
+          "type": {
+            "type": "string",
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "RunProperties": {
+        "type": "object",
+        "properties": {
+          "dataContainerId": {
+            "type": "string",
+            "nullable": true
+          },
+          "targetName": {
+            "type": "string",
+            "nullable": true
+          },
+          "runName": {
+            "type": "string",
+            "nullable": true
+          },
+          "experimentName": {
+            "type": "string",
+            "nullable": true
+          },
+          "runId": {
+            "type": "string",
+            "nullable": true
+          },
+          "parentRunId": {
+            "type": "string",
+            "nullable": true
+          },
+          "rootRunId": {
+            "type": "string",
+            "nullable": true
+          },
+          "runType": {
+            "type": "string",
+            "nullable": true
+          },
+          "runTypeV2": {
+            "$ref": "#/components/schemas/RunTypeV2Index"
+          },
+          "scriptName": {
+            "type": "string",
+            "nullable": true
+          },
+          "experimentId": {
+            "type": "string",
+            "nullable": true
+          },
+          "runUuid": {
+            "type": "string",
+            "format": "uuid",
+            "nullable": true
+          },
+          "parentRunUuid": {
+            "type": "string",
+            "format": "uuid",
+            "nullable": true
+          },
+          "runNumber": {
+            "type": "integer",
+            "format": "int32"
+          },
+          "startTime": {
+            "type": "string",
+            "format": "date-time",
+            "nullable": true
+          },
+          "endTime": {
+            "type": "string",
+            "format": "date-time",
+            "nullable": true
+          },
+          "computeRequest": {
+            "$ref": "#/components/schemas/ComputeRequest"
+          },
+          "compute": {
+            "$ref": "#/components/schemas/Compute"
+          },
+          "userProperties": {
+            "type": "object",
+            "additionalProperties": {
+              "type": "string"
+            },
+            "description": "This is a dictionary",
+            "nullable": true
+          },
+          "actionUris": {
+            "type": "object",
+            "additionalProperties": {
+              "type": "string"
+            },
+            "description": "This is a dictionary",
+            "nullable": true
+          },
+          "duration": {
+            "type": "string",
+            "format": "date-span",
+            "nullable": true
+          },
+          "durationMilliseconds": {
+            "type": "number",
+            "format": "double",
+            "nullable": true
+          },
+          "creationContext": {
+            "$ref": "#/components/schemas/CreationContext"
+          }
+        }
+      },
+      "RunSettingParameter": {
+        "type": "object",
+        "properties": {
+          "name": {
+            "type": "string",
+            "nullable": true
+          },
+          "label": {
+            "type": "string",
+            "nullable": true
+          },
+          "parameterType": {
+            "$ref": "#/components/schemas/RunSettingParameterType"
+          },
+          "isOptional": {
+            "type": "boolean",
+            "nullable": true
+          },
+          "defaultValue": {
+            "type": "string",
+            "nullable": true
+          },
+          "lowerBound": {
+            "type": "string",
+            "nullable": true
+          },
+          "upperBound": {
+            "type": "string",
+            "nullable": true
+          },
+          "description": {
+            "type": "string",
+            "nullable": true
+          },
+          "runSettingUIHint": {
+            "$ref": "#/components/schemas/RunSettingUIParameterHint"
+          },
+          "argumentName": {
+            "type": "string",
+            "nullable": true
+          },
+          "sectionName": {
+            "type": "string",
+            "nullable": true
+          },
+          "sectionDescription": {
+            "type": "string",
+            "nullable": true
+          },
+          "sectionArgumentName": {
+            "type": "string",
+            "nullable": true
+          },
+          "examples": {
+            "type": "array",
+            "items": {
+              "type": "string"
+            },
+            "nullable": true
+          },
+          "enumValues": {
+            "type": "array",
+            "items": {
+              "type": "string"
+            },
+            "nullable": true
+          },
+          "enumValuesToArgumentStrings": {
+            "type": "object",
+            "additionalProperties": {
+              "type": "string"
+            },
+            "description": "This is a dictionary",
+            "nullable": true
+          },
+          "enabledByParameterName": {
+            "type": "string",
+            "nullable": true
+          },
+          "enabledByParameterValues": {
+            "type": "array",
+            "items": {
+              "type": "string"
+            },
+            "nullable": true
+          },
+          "disabledByParameters": {
+            "type": "array",
+            "items": {
+              "type": "string"
+            },
+            "nullable": true
+          },
+          "moduleRunSettingType": {
+            "$ref": "#/components/schemas/ModuleRunSettingTypes"
+          },
+          "linkedParameterDefaultValueMapping": {
+            "type": "object",
+            "additionalProperties": {
+              "type": "string",
+              "nullable": true
+            },
+            "nullable": true
+          },
+          "linkedParameterKeyName": {
+            "type": "string",
+            "nullable": true
+          },
+          "supportLinkSetting": {
+            "type": "boolean"
+          }
+        },
+        "additionalProperties": false
+      },
+      "RunSettingParameterAssignment": {
+        "type": "object",
+        "properties": {
+          "useGraphDefaultCompute": {
+            "type": "boolean",
+            "nullable": true
+          },
+          "mlcComputeType": {
+            "type": "string",
+            "nullable": true
+          },
+          "computeRunSettings": {
+            "type": "array",
+            "items": {
+              "$ref": "#/components/schemas/RunSettingParameterAssignment"
+            },
+            "nullable": true
+          },
+          "linkedParameterName": {
+            "type": "string",
+            "nullable": true
+          },
+          "valueType": {
+            "$ref": "#/components/schemas/ParameterValueType"
+          },
+          "assignmentsToConcatenate": {
+            "type": "array",
+            "items": {
+              "$ref": "#/components/schemas/ParameterAssignment"
+            },
+            "nullable": true
+          },
+          "dataPathAssignment": {
+            "$ref": "#/components/schemas/LegacyDataPath"
+          },
+          "dataSetDefinitionValueAssignment": {
+            "$ref": "#/components/schemas/DataSetDefinitionValue"
+          },
+          "name": {
+            "type": "string",
+            "nullable": true
+          },
+          "value": {
+            "type": "string",
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "RunSettingParameterType": {
+        "enum": [
+          "Undefined",
+          "Int",
+          "Double",
+          "Bool",
+          "String",
+          "JsonString",
+          "YamlString",
+          "StringList"
+        ],
+        "type": "string"
+      },
+      "RunSettingUIParameterHint": {
+        "type": "object",
+        "properties": {
+          "uiWidgetType": {
+            "$ref": "#/components/schemas/RunSettingUIWidgetTypeEnum"
+          },
+          "jsonEditor": {
+            "$ref": "#/components/schemas/UIJsonEditor"
+          },
+          "yamlEditor": {
+            "$ref": "#/components/schemas/UIYamlEditor"
+          },
+          "computeSelection": {
+            "$ref": "#/components/schemas/UIComputeSelection"
+          },
+          "hyperparameterConfiguration": {
+            "$ref": "#/components/schemas/UIHyperparameterConfiguration"
+          },
+          "uxIgnore": {
+            "type": "boolean"
+          },
+          "anonymous": {
+            "type": "boolean"
+          },
+          "supportReset": {
+            "type": "boolean"
+          }
+        },
+        "additionalProperties": false
+      },
+      "RunSettingUIWidgetTypeEnum": {
+        "enum": [
+          "Default",
+          "ComputeSelection",
+          "JsonEditor",
+          "Mode",
+          "SearchSpaceParameter",
+          "SectionToggle",
+          "YamlEditor",
+          "EnableRuntimeSweep",
+          "DataStoreSelection",
+          "Checkbox",
+          "MultipleSelection",
+          "HyperparameterConfiguration",
+          "JsonTextBox",
+          "Connection",
+          "Static"
+        ],
+        "type": "string"
+      },
+      "RunStatus": {
+        "enum": [
+          "NotStarted",
+          "Unapproved",
+          "Pausing",
+          "Paused",
+          "Starting",
+          "Preparing",
+          "Queued",
+          "Running",
+          "Finalizing",
+          "CancelRequested",
+          "Completed",
+          "Failed",
+          "Canceled"
+        ],
+        "type": "string"
+      },
+      "RunStatusPeriod": {
+        "type": "object",
+        "properties": {
+          "status": {
+            "$ref": "#/components/schemas/RunStatus"
+          },
+          "subPeriods": {
+            "type": "array",
+            "items": {
+              "$ref": "#/components/schemas/SubStatusPeriod"
+            },
+            "nullable": true
+          },
+          "start": {
+            "type": "integer",
+            "format": "int64",
+            "nullable": true
+          },
+          "end": {
+            "type": "integer",
+            "format": "int64",
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "RunType": {
+        "enum": [
+          "HTTP",
+          "SDK",
+          "Schedule",
+          "Portal"
+        ],
+        "type": "string"
+      },
+      "RunTypeV2": {
+        "type": "object",
+        "properties": {
+          "orchestrator": {
+            "type": "string",
+            "nullable": true
+          },
+          "traits": {
+            "uniqueItems": true,
+            "type": "array",
+            "items": {
+              "type": "string"
+            },
+            "nullable": true
+          },
+          "attribution": {
+            "type": "string",
+            "nullable": true
+          },
+          "computeType": {
+            "type": "string",
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "RunTypeV2Index": {
+        "type": "object",
+        "properties": {
+          "orchestrator": {
+            "type": "string",
+            "nullable": true
+          },
+          "traits": {
+            "type": "object",
+            "additionalProperties": {
+              "type": "string",
+              "nullable": true
+            },
+            "nullable": true
+          },
+          "attribution": {
+            "type": "string",
+            "nullable": true
+          },
+          "computeType": {
+            "type": "string",
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "RuntimeConfiguration": {
+        "type": "object",
+        "properties": {
+          "baseImage": {
+            "type": "string",
+            "nullable": true
+          },
+          "version": {
+            "type": "string",
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "RuntimeStatusEnum": {
+        "enum": [
+          "Unavailable",
+          "Failed",
+          "NotExist",
+          "Starting",
+          "Stopping"
+        ],
+        "type": "string"
+      },
+      "RuntimeType": {
+        "enum": [
+          "ManagedOnlineEndpoint",
+          "ComputeInstance",
+          "TrainingSession"
+        ],
+        "type": "string"
+      },
+      "SampleMeta": {
+        "type": "object",
+        "properties": {
+          "image": {
+            "type": "string",
+            "nullable": true
+          },
+          "id": {
+            "type": "string",
+            "nullable": true
+          },
+          "displayName": {
+            "type": "string",
+            "nullable": true
+          },
+          "name": {
+            "type": "string",
+            "nullable": true
+          },
+          "description": {
+            "type": "string",
+            "nullable": true
+          },
+          "docLink": {
+            "type": "string",
+            "nullable": true
+          },
+          "tags": {
+            "type": "array",
+            "items": {
+              "type": "string"
+            },
+            "nullable": true
+          },
+          "createdAt": {
+            "type": "string",
+            "format": "date-time"
+          },
+          "updatedAt": {
+            "type": "string",
+            "format": "date-time"
+          },
+          "feedName": {
+            "type": "string",
+            "nullable": true
+          },
+          "version": {
+            "type": "string",
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "SamplingAlgorithmType": {
+        "enum": [
+          "Random",
+          "Grid",
+          "Bayesian"
+        ],
+        "type": "string"
+      },
+      "SavePipelineDraftRequest": {
+        "type": "object",
+        "properties": {
+          "uiWidgetMetaInfos": {
+            "type": "array",
+            "items": {
+              "$ref": "#/components/schemas/UIWidgetMetaInfo"
+            },
+            "nullable": true
+          },
+          "webServiceInputs": {
+            "type": "array",
+            "items": {
+              "$ref": "#/components/schemas/WebServicePort"
+            },
+            "nullable": true
+          },
+          "webServiceOutputs": {
+            "type": "array",
+            "items": {
+              "$ref": "#/components/schemas/WebServicePort"
+            },
+            "nullable": true
+          },
+          "nodesInDraft": {
+            "type": "array",
+            "items": {
+              "type": "string"
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+            "nullable": true
+          },
+          "name": {
+            "type": "string",
+            "nullable": true
+          },
+          "pipelineType": {
+            "$ref": "#/components/schemas/PipelineType"
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+          "pipelineDraftMode": {
+            "$ref": "#/components/schemas/PipelineDraftMode"
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+          "graphComponentsMode": {
+            "$ref": "#/components/schemas/GraphComponentsMode"
+          },
+          "subPipelinesInfo": {
+            "$ref": "#/components/schemas/SubPipelinesInfo"
+          },
+          "flattenedSubGraphs": {
+            "type": "object",
+            "additionalProperties": {
+              "$ref": "#/components/schemas/PipelineSubDraft"
+            },
+            "nullable": true
+          },
+          "pipelineParameters": {
+            "type": "object",
+            "additionalProperties": {
+              "type": "string"
+            },
+            "description": "This is a dictionary",
+            "nullable": true
+          },
+          "dataPathAssignments": {
+            "type": "object",
+            "additionalProperties": {
+              "$ref": "#/components/schemas/LegacyDataPath"
+            },
+            "description": "This is a dictionary",
+            "nullable": true
+          },
+          "dataSetDefinitionValueAssignments": {
+            "type": "object",
+            "additionalProperties": {
+              "$ref": "#/components/schemas/DataSetDefinitionValue"
+            },
+            "description": "This is a dictionary",
+            "nullable": true
+          },
+          "assetOutputSettingsAssignments": {
+            "type": "object",
+            "additionalProperties": {
+              "$ref": "#/components/schemas/AssetOutputSettings"
+            },
+            "description": "This is a dictionary",
+            "nullable": true
+          },
+          "graph": {
+            "$ref": "#/components/schemas/GraphDraftEntity"
+          },
+          "pipelineRunSettings": {
+            "type": "array",
+            "items": {
+              "$ref": "#/components/schemas/RunSettingParameterAssignment"
+            },
+            "nullable": true
+          },
+          "moduleNodeRunSettings": {
+            "type": "array",
+            "items": {
+              "$ref": "#/components/schemas/GraphModuleNodeRunSetting"
+            },
+            "nullable": true
+          },
+          "moduleNodeUIInputSettings": {
+            "type": "array",
+            "items": {
+              "$ref": "#/components/schemas/GraphModuleNodeUIInputSetting"
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+            "nullable": true
+          },
+          "tags": {
+            "type": "object",
+            "additionalProperties": {
+              "type": "string"
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+            "description": "This is a dictionary",
+            "nullable": true
+          },
+          "continueRunOnStepFailure": {
+            "type": "boolean",
+            "nullable": true
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+          "description": {
+            "type": "string",
+            "nullable": true
+          },
+          "properties": {
+            "type": "object",
+            "additionalProperties": {
+              "type": "string"
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+            "description": "This is a dictionary",
+            "nullable": true
+          },
+          "enforceRerun": {
+            "type": "boolean",
+            "nullable": true
+          },
+          "datasetAccessModes": {
+            "$ref": "#/components/schemas/DatasetAccessModes"
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+        },
+        "additionalProperties": false
+      },
+      "SavedDataSetReference": {
+        "type": "object",
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+          "id": {
+            "type": "string",
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
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+        "type": "object",
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+          "scheduleStatus": {
+            "$ref": "#/components/schemas/MfeInternalScheduleStatus"
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+          "scheduleType": {
+            "$ref": "#/components/schemas/ScheduleType"
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+            "type": "string",
+            "format": "date-time",
+            "nullable": true
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+            "type": "string",
+            "format": "date-time",
+            "nullable": true
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+          "timeZone": {
+            "type": "string",
+            "nullable": true
+          },
+          "expression": {
+            "type": "string",
+            "nullable": true
+          },
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+            "$ref": "#/components/schemas/RecurrenceFrequency"
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+            "type": "integer",
+            "format": "int32"
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+            "$ref": "#/components/schemas/RecurrencePattern"
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+        "additionalProperties": false
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+          "Deleting",
+          "Succeeded",
+          "Failed",
+          "Canceled"
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+        "type": "string"
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+        "enum": [
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+          "Disabled"
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+        "type": "string"
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+        "enum": [
+          "Cron",
+          "Recurrence"
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+        "type": "string"
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+        "type": "object",
+        "properties": {
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+            "type": "string",
+            "nullable": true
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+          "userTenantId": {
+            "type": "string",
+            "nullable": true
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+            "nullable": true
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+          "userPrincipalName": {
+            "type": "string",
+            "nullable": true
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+        "additionalProperties": false
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+      "ScopeCloudConfiguration": {
+        "type": "object",
+        "properties": {
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+            "type": "object",
+            "additionalProperties": {
+              "$ref": "#/components/schemas/ArgumentAssignment"
+            },
+            "description": "This is a dictionary",
+            "nullable": true
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+          "outputPathSuffixes": {
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+            "additionalProperties": {
+              "$ref": "#/components/schemas/ArgumentAssignment"
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+            "description": "This is a dictionary",
+            "nullable": true
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+            "type": "string",
+            "nullable": true
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+            "nullable": true
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+            "type": "integer",
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+            "type": "number",
+            "format": "float",
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+          "ResourceGroup",
+          "Workspace"
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+          "Python",
+          "Notebook"
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+        "type": "object",
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+            "$ref": "#/components/schemas/SeasonalityMode"
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+          "value": {
+            "type": "integer",
+            "format": "int32"
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+        "additionalProperties": false
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+          "Auto",
+          "Custom"
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+        "type": "string"
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+        "type": "object",
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+          "workspace_secret_name": {
+            "type": "string",
+            "nullable": true
+          },
+          "uri": {
+            "type": "string",
+            "nullable": true
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+            "nullable": true
+          }
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+        "additionalProperties": false
+      },
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+        "type": "object",
+        "properties": {
+          "logLevel": {
+            "$ref": "#/components/schemas/LogLevel"
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+          "message": {
+            "type": "string",
+            "nullable": true
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+          "timestamp": {
+            "type": "string",
+            "format": "date-time",
+            "nullable": true
+          }
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+        "additionalProperties": false
+      },
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+          "type": {
+            "type": "string",
+            "nullable": true
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+            "type": "string",
+            "nullable": true
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+          "envVars": {
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+              "type": "string",
+              "nullable": true
+            },
+            "nullable": true
+          },
+          "pythonPipRequirements": {
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+              "type": "string"
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+            "type": "array",
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+              "$ref": "#/components/schemas/Volume"
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+            "nullable": true
+          },
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+            "type": "array",
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+              "$ref": "#/components/schemas/SessionApplicationRunCommandResult"
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+            "nullable": true
+          },
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+            "type": "integer",
+            "format": "int32",
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+            "type": "string",
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+          },
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+            "items": {
+              "type": "string"
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+            "nullable": true
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+            "type": "integer",
+            "format": "int32"
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+          "stdOut": {
+            "type": "string",
+            "nullable": true
+          },
+          "stdErr": {
+            "type": "string",
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
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+        "enum": [
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+          "ForceInstallPackage",
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+        "type": "string"
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+        "type": "object",
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+            "type": "string",
+            "nullable": true
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+          "subscriptionId": {
+            "type": "string",
+            "nullable": true
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+            "nullable": true
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+            "type": "string",
+            "nullable": true
+          },
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+            "nullable": true
+          },
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+            "type": "string",
+            "nullable": true
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+          },
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+            "type": "string",
+            "nullable": true
+          },
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+            "type": "integer",
+            "format": "int64"
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+            "items": {
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+            "nullable": true
+          },
+          "application": {
+            "$ref": "#/components/schemas/SessionApplication"
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+            "type": "string",
+            "format": "date-time"
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+      },
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+        "type": "object",
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+            "type": "string",
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+          },
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+            "format": "int64",
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+            "type": "string",
+            "nullable": true
+          },
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+            "type": "string",
+            "nullable": true
+          },
+          "enableMultiContainer": {
+            "type": "boolean"
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+        },
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+      },
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+        "type": "string"
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+          "Delete"
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+        "type": "string"
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+        "type": "object",
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+            "$ref": "#/components/schemas/SetupFlowSessionAction"
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+          },
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+            "nullable": true
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+            "type": "boolean"
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+        },
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+      },
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+          "Warning",
+          "Info"
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+        "type": "string"
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+        "type": "object",
+        "properties": {
+          "type": {
+            "$ref": "#/components/schemas/ScopeType"
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+          "identifier": {
+            "type": "string",
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+          "Pad",
+          "Drop"
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+        "type": "string"
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+            "type": "string",
+            "format": "uuid",
+            "nullable": true
+          },
+          "directoryName": {
+            "type": "string",
+            "nullable": true
+          },
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+            "type": "string",
+            "nullable": true
+          },
+          "snapshotEntityId": {
+            "type": "string",
+            "nullable": true
+          }
+        },
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+      },
+      "SnapshotInfo": {
+        "type": "object",
+        "properties": {
+          "rootDownloadUrl": {
+            "type": "string",
+            "nullable": true
+          },
+          "snapshots": {
+            "type": "object",
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+              "$ref": "#/components/schemas/DownloadResourceInfo"
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+            "description": "This is a dictionary",
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "SourceCodeDataReference": {
+        "type": "object",
+        "properties": {
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+            "type": "string",
+            "nullable": true
+          },
+          "path": {
+            "type": "string",
+            "nullable": true
+          }
+        },
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+      },
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+        "type": "object",
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+            "type": "object",
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+              "type": "string",
+              "nullable": true
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+            "nullable": true
+          },
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+              "type": "string"
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+            "nullable": true
+          },
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+              "type": "string"
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+            "nullable": true
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+          "jars": {
+            "type": "array",
+            "items": {
+              "type": "string"
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+            "nullable": true
+          },
+          "pyFiles": {
+            "type": "array",
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+              "type": "string"
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+            "nullable": true
+          },
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+            "type": "string",
+            "nullable": true
+          }
+        },
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+      },
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+        "type": "object",
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+            "type": "string",
+            "nullable": true
+          },
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+              "type": "string"
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+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
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+        "type": "object",
+        "properties": {
+          "jobType": {
+            "$ref": "#/components/schemas/JobType"
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+          "resources": {
+            "$ref": "#/components/schemas/SparkResourceConfiguration"
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+            "type": "string",
+            "nullable": true
+          },
+          "codeId": {
+            "type": "string",
+            "nullable": true
+          },
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+            "nullable": true
+          },
+          "jars": {
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+            "nullable": true
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+          },
+          "archives": {
+            "type": "array",
+            "items": {
+              "type": "string"
+            },
+            "nullable": true
+          },
+          "environmentId": {
+            "type": "string",
+            "nullable": true
+          },
+          "inputDataBindings": {
+            "type": "object",
+            "additionalProperties": {
+              "$ref": "#/components/schemas/InputDataBinding"
+            },
+            "nullable": true
+          },
+          "outputDataBindings": {
+            "type": "object",
+            "additionalProperties": {
+              "$ref": "#/components/schemas/OutputDataBinding"
+            },
+            "nullable": true
+          },
+          "conf": {
+            "type": "object",
+            "additionalProperties": {
+              "type": "string",
+              "nullable": true
+            },
+            "nullable": true
+          },
+          "environmentVariables": {
+            "type": "object",
+            "additionalProperties": {
+              "type": "string",
+              "nullable": true
+            },
+            "nullable": true
+          },
+          "provisioningState": {
+            "$ref": "#/components/schemas/JobProvisioningState"
+          },
+          "parentJobName": {
+            "type": "string",
+            "nullable": true
+          },
+          "displayName": {
+            "type": "string",
+            "nullable": true
+          },
+          "experimentName": {
+            "type": "string",
+            "nullable": true
+          },
+          "status": {
+            "$ref": "#/components/schemas/JobStatus"
+          },
+          "interactionEndpoints": {
+            "type": "object",
+            "additionalProperties": {
+              "$ref": "#/components/schemas/JobEndpoint"
+            },
+            "nullable": true
+          },
+          "identity": {
+            "$ref": "#/components/schemas/MfeInternalIdentityConfiguration"
+          },
+          "compute": {
+            "$ref": "#/components/schemas/ComputeConfiguration"
+          },
+          "priority": {
+            "type": "integer",
+            "format": "int32",
+            "nullable": true
+          },
+          "output": {
+            "$ref": "#/components/schemas/JobOutputArtifacts"
+          },
+          "isArchived": {
+            "type": "boolean"
+          },
+          "schedule": {
+            "$ref": "#/components/schemas/ScheduleBase"
+          },
+          "componentId": {
+            "type": "string",
+            "nullable": true
+          },
+          "notificationSetting": {
+            "$ref": "#/components/schemas/NotificationSetting"
+          },
+          "secretsConfiguration": {
+            "type": "object",
+            "additionalProperties": {
+              "$ref": "#/components/schemas/MfeInternalSecretConfiguration"
+            },
+            "nullable": true
+          },
+          "description": {
+            "type": "string",
+            "nullable": true
+          },
+          "tags": {
+            "type": "object",
+            "additionalProperties": {
+              "type": "string"
+            },
+            "description": "This is a dictionary",
+            "nullable": true
+          },
+          "properties": {
+            "type": "object",
+            "additionalProperties": {
+              "type": "string"
+            },
+            "description": "This is a dictionary",
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "SparkJobEntry": {
+        "type": "object",
+        "properties": {
+          "file": {
+            "type": "string",
+            "nullable": true
+          },
+          "className": {
+            "type": "string",
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "SparkMavenPackage": {
+        "type": "object",
+        "properties": {
+          "group": {
+            "type": "string",
+            "nullable": true
+          },
+          "artifact": {
+            "type": "string",
+            "nullable": true
+          },
+          "version": {
+            "type": "string",
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "SparkPythonTaskDto": {
+        "type": "object",
+        "properties": {
+          "python_file": {
+            "type": "string",
+            "nullable": true
+          },
+          "parameters": {
+            "type": "array",
+            "items": {
+              "type": "string"
+            },
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "SparkResourceConfiguration": {
+        "type": "object",
+        "properties": {
+          "instanceType": {
+            "type": "string",
+            "nullable": true
+          },
+          "runtimeVersion": {
+            "type": "string",
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "SparkSection": {
+        "type": "object",
+        "properties": {
+          "repositories": {
+            "type": "array",
+            "items": {
+              "type": "string"
+            },
+            "nullable": true
+          },
+          "packages": {
+            "type": "array",
+            "items": {
+              "$ref": "#/components/schemas/SparkMavenPackage"
+            },
+            "nullable": true
+          },
+          "precachePackages": {
+            "type": "boolean"
+          }
+        },
+        "additionalProperties": false
+      },
+      "SparkSubmitTaskDto": {
+        "type": "object",
+        "properties": {
+          "parameters": {
+            "type": "array",
+            "items": {
+              "type": "string"
+            },
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "SqlDataPath": {
+        "type": "object",
+        "properties": {
+          "sqlTableName": {
+            "type": "string",
+            "nullable": true
+          },
+          "sqlQuery": {
+            "type": "string",
+            "nullable": true
+          },
+          "sqlStoredProcedureName": {
+            "type": "string",
+            "nullable": true
+          },
+          "sqlStoredProcedureParams": {
+            "type": "array",
+            "items": {
+              "$ref": "#/components/schemas/StoredProcedureParameter"
+            },
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "StackEnsembleSettings": {
+        "type": "object",
+        "properties": {
+          "stackMetaLearnerType": {
+            "$ref": "#/components/schemas/StackMetaLearnerType"
+          },
+          "stackMetaLearnerTrainPercentage": {
+            "type": "number",
+            "format": "double",
+            "nullable": true
+          },
+          "stackMetaLearnerKWargs": {
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "StackMetaLearnerType": {
+        "enum": [
+          "None",
+          "LogisticRegression",
+          "LogisticRegressionCV",
+          "LightGBMClassifier",
+          "ElasticNet",
+          "ElasticNetCV",
+          "LightGBMRegressor",
+          "LinearRegression"
+        ],
+        "type": "string"
+      },
+      "StandbyPoolProperties": {
+        "type": "object",
+        "properties": {
+          "name": {
+            "type": "string",
+            "nullable": true
+          },
+          "count": {
+            "type": "integer",
+            "format": "int32"
+          },
+          "vmSize": {
+            "type": "string",
+            "nullable": true
+          },
+          "standbyAvailableInstances": {
+            "type": "array",
+            "items": {
+              "$ref": "#/components/schemas/StandbyPoolResourceStatus"
+            },
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "StandbyPoolResourceStatus": {
+        "type": "object",
+        "properties": {
+          "status": {
+            "type": "string",
+            "nullable": true
+          },
+          "error": {
+            "$ref": "#/components/schemas/CloudError"
+          }
+        },
+        "additionalProperties": false
+      },
+      "StartRunResult": {
+        "required": [
+          "runId"
+        ],
+        "type": "object",
+        "properties": {
+          "runId": {
+            "minLength": 1,
+            "type": "string"
+          }
+        },
+        "additionalProperties": false
+      },
+      "StepRunProfile": {
+        "type": "object",
+        "properties": {
+          "stepRunId": {
+            "type": "string",
+            "nullable": true
+          },
+          "stepRunNumber": {
+            "type": "integer",
+            "format": "int32",
+            "nullable": true
+          },
+          "runUrl": {
+            "type": "string",
+            "nullable": true
+          },
+          "computeTarget": {
+            "type": "string",
+            "nullable": true
+          },
+          "computeTargetUrl": {
+            "type": "string",
+            "nullable": true
+          },
+          "nodeId": {
+            "type": "string",
+            "nullable": true
+          },
+          "nodeName": {
+            "type": "string",
+            "nullable": true
+          },
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+            "type": "string",
+            "nullable": true
+          },
+          "createTime": {
+            "type": "integer",
+            "format": "int64",
+            "nullable": true
+          },
+          "startTime": {
+            "type": "integer",
+            "format": "int64",
+            "nullable": true
+          },
+          "endTime": {
+            "type": "integer",
+            "format": "int64",
+            "nullable": true
+          },
+          "status": {
+            "$ref": "#/components/schemas/RunStatus"
+          },
+          "statusDetail": {
+            "type": "string",
+            "nullable": true
+          },
+          "isReused": {
+            "type": "boolean"
+          },
+          "reusedPipelineRunId": {
+            "type": "string",
+            "nullable": true
+          },
+          "reusedStepRunId": {
+            "type": "string",
+            "nullable": true
+          },
+          "tags": {
+            "type": "object",
+            "additionalProperties": {
+              "type": "string",
+              "nullable": true
+            },
+            "nullable": true
+          },
+          "statusTimeline": {
+            "type": "array",
+            "items": {
+              "$ref": "#/components/schemas/RunStatusPeriod"
+            },
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "StorageAuthType": {
+        "enum": [
+          "MSI",
+          "ConnectionString",
+          "SAS"
+        ],
+        "type": "string"
+      },
+      "StorageInfo": {
+        "type": "object",
+        "properties": {
+          "storageAuthType": {
+            "$ref": "#/components/schemas/StorageAuthType"
+          },
+          "connectionString": {
+            "type": "string",
+            "nullable": true
+          },
+          "sasToken": {
+            "type": "string",
+            "nullable": true
+          },
+          "accountName": {
+            "type": "string",
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "StoredProcedureParameter": {
+        "type": "object",
+        "properties": {
+          "name": {
+            "type": "string",
+            "nullable": true
+          },
+          "value": {
+            "type": "string",
+            "nullable": true
+          },
+          "type": {
+            "$ref": "#/components/schemas/StoredProcedureParameterType"
+          }
+        },
+        "additionalProperties": false
+      },
+      "StoredProcedureParameterType": {
+        "enum": [
+          "String",
+          "Int",
+          "Decimal",
+          "Guid",
+          "Boolean",
+          "Date"
+        ],
+        "type": "string"
+      },
+      "Stream": {
+        "type": "object",
+        "properties": {
+          "canRead": {
+            "type": "boolean",
+            "readOnly": true
+          },
+          "canWrite": {
+            "type": "boolean",
+            "readOnly": true
+          },
+          "canSeek": {
+            "type": "boolean",
+            "readOnly": true
+          },
+          "canTimeout": {
+            "type": "boolean",
+            "readOnly": true
+          },
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+            "type": "integer",
+            "format": "int64",
+            "readOnly": true
+          },
+          "position": {
+            "type": "integer",
+            "format": "int64"
+          },
+          "readTimeout": {
+            "type": "integer",
+            "format": "int32"
+          },
+          "writeTimeout": {
+            "type": "integer",
+            "format": "int32"
+          }
+        },
+        "additionalProperties": false
+      },
+      "StructuredInterface": {
+        "type": "object",
+        "properties": {
+          "commandLinePattern": {
+            "type": "string",
+            "nullable": true
+          },
+          "inputs": {
+            "type": "array",
+            "items": {
+              "$ref": "#/components/schemas/StructuredInterfaceInput"
+            },
+            "nullable": true
+          },
+          "outputs": {
+            "type": "array",
+            "items": {
+              "$ref": "#/components/schemas/StructuredInterfaceOutput"
+            },
+            "nullable": true
+          },
+          "controlOutputs": {
+            "type": "array",
+            "items": {
+              "$ref": "#/components/schemas/ControlOutput"
+            },
+            "nullable": true
+          },
+          "parameters": {
+            "type": "array",
+            "items": {
+              "$ref": "#/components/schemas/StructuredInterfaceParameter"
+            },
+            "nullable": true
+          },
+          "metadataParameters": {
+            "type": "array",
+            "items": {
+              "$ref": "#/components/schemas/StructuredInterfaceParameter"
+            },
+            "nullable": true
+          },
+          "arguments": {
+            "type": "array",
+            "items": {
+              "$ref": "#/components/schemas/ArgumentAssignment"
+            },
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "StructuredInterfaceInput": {
+        "type": "object",
+        "properties": {
+          "name": {
+            "type": "string",
+            "nullable": true
+          },
+          "label": {
+            "type": "string",
+            "nullable": true
+          },
+          "dataTypeIdsList": {
+            "type": "array",
+            "items": {
+              "type": "string"
+            },
+            "nullable": true
+          },
+          "isOptional": {
+            "type": "boolean"
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+          "description": {
+            "type": "string",
+            "nullable": true
+          },
+          "skipProcessing": {
+            "type": "boolean"
+          },
+          "isResource": {
+            "type": "boolean"
+          },
+          "dataStoreMode": {
+            "$ref": "#/components/schemas/AEVADataStoreMode"
+          },
+          "pathOnCompute": {
+            "type": "string",
+            "nullable": true
+          },
+          "overwrite": {
+            "type": "boolean"
+          },
+          "dataReferenceName": {
+            "type": "string",
+            "nullable": true
+          },
+          "datasetTypes": {
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+            "type": "array",
+            "items": {
+              "$ref": "#/components/schemas/DatasetType"
+            },
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "StructuredInterfaceOutput": {
+        "type": "object",
+        "properties": {
+          "name": {
+            "type": "string",
+            "nullable": true
+          },
+          "label": {
+            "type": "string",
+            "nullable": true
+          },
+          "dataTypeId": {
+            "type": "string",
+            "nullable": true
+          },
+          "passThroughDataTypeInputName": {
+            "type": "string",
+            "nullable": true
+          },
+          "description": {
+            "type": "string",
+            "nullable": true
+          },
+          "skipProcessing": {
+            "type": "boolean"
+          },
+          "IsArtifact": {
+            "type": "boolean"
+          },
+          "dataStoreName": {
+            "type": "string",
+            "nullable": true
+          },
+          "dataStoreMode": {
+            "$ref": "#/components/schemas/AEVADataStoreMode"
+          },
+          "pathOnCompute": {
+            "type": "string",
+            "nullable": true
+          },
+          "overwrite": {
+            "type": "boolean"
+          },
+          "dataReferenceName": {
+            "type": "string",
+            "nullable": true
+          },
+          "trainingOutput": {
+            "$ref": "#/components/schemas/TrainingOutput"
+          },
+          "datasetOutput": {
+            "$ref": "#/components/schemas/DatasetOutput"
+          },
+          "AssetOutputSettings": {
+            "$ref": "#/components/schemas/AssetOutputSettings"
+          },
+          "EarlyAvailable": {
+            "type": "boolean"
+          }
+        },
+        "additionalProperties": false
+      },
+      "StructuredInterfaceParameter": {
+        "type": "object",
+        "properties": {
+          "name": {
+            "type": "string",
+            "nullable": true
+          },
+          "label": {
+            "type": "string",
+            "nullable": true
+          },
+          "parameterType": {
+            "$ref": "#/components/schemas/ParameterType"
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+            "type": "boolean"
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+          "defaultValue": {
+            "type": "string",
+            "nullable": true
+          },
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+            "type": "string",
+            "nullable": true
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+            "type": "string",
+            "nullable": true
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+            "type": "array",
+            "items": {
+              "type": "string"
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+            "nullable": true
+          },
+          "enumValuesToArgumentStrings": {
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+            "additionalProperties": {
+              "type": "string"
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+            "description": "This is a dictionary",
+            "nullable": true
+          },
+          "description": {
+            "type": "string",
+            "nullable": true
+          },
+          "setEnvironmentVariable": {
+            "type": "boolean"
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+          "environmentVariableOverride": {
+            "type": "string",
+            "nullable": true
+          },
+          "enabledByParameterName": {
+            "type": "string",
+            "nullable": true
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+          "enabledByParameterValues": {
+            "type": "array",
+            "items": {
+              "type": "string"
+            },
+            "nullable": true
+          },
+          "uiHint": {
+            "$ref": "#/components/schemas/UIParameterHint"
+          },
+          "groupNames": {
+            "type": "array",
+            "items": {
+              "type": "string"
+            },
+            "nullable": true
+          },
+          "argumentName": {
+            "type": "string",
+            "nullable": true
+          }
+        },
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+      },
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+        "type": "object",
+        "properties": {
+          "sourceWorkspaceId": {
+            "type": "string",
+            "nullable": true
+          },
+          "sourceExperimentId": {
+            "type": "string",
+            "nullable": true
+          },
+          "sourceExperimentLink": {
+            "type": "string",
+            "nullable": true
+          },
+          "failedNodeIdList": {
+            "type": "array",
+            "items": {
+              "type": "string"
+            },
+            "nullable": true
+          },
+          "errorMessage": {
+            "type": "string",
+            "nullable": true,
+            "readOnly": true
+          }
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+        "additionalProperties": false
+      },
+      "SubGraphConcatenateAssignment": {
+        "type": "object",
+        "properties": {
+          "concatenateParameter": {
+            "type": "array",
+            "items": {
+              "$ref": "#/components/schemas/ParameterAssignment"
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+            "nullable": true
+          },
+          "parameterAssignments": {
+            "$ref": "#/components/schemas/SubPipelineParameterAssignment"
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+        },
+        "additionalProperties": false
+      },
+      "SubGraphConfiguration": {
+        "type": "object",
+        "properties": {
+          "graphId": {
+            "type": "string",
+            "nullable": true
+          },
+          "graphDraftId": {
+            "type": "string",
+            "nullable": true
+          },
+          "DefaultCloudPriority": {
+            "$ref": "#/components/schemas/CloudPrioritySetting"
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+          "IsDynamic": {
+            "type": "boolean",
+            "default": false,
+            "nullable": true
+          }
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+        "additionalProperties": false
+      },
+      "SubGraphConnectionInfo": {
+        "type": "object",
+        "properties": {
+          "nodeId": {
+            "type": "string",
+            "nullable": true
+          },
+          "portName": {
+            "type": "string",
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "SubGraphDataPathParameterAssignment": {
+        "type": "object",
+        "properties": {
+          "dataSetPathParameter": {
+            "$ref": "#/components/schemas/DataSetPathParameter"
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+          "dataSetPathParameterAssignments": {
+            "type": "array",
+            "items": {
+              "type": "string"
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+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
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+        "type": "object",
+        "properties": {
+          "name": {
+            "type": "string",
+            "nullable": true
+          },
+          "description": {
+            "type": "string",
+            "nullable": true
+          },
+          "defaultComputeTarget": {
+            "$ref": "#/components/schemas/ComputeSetting"
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+          "defaultDataStore": {
+            "$ref": "#/components/schemas/DatastoreSetting"
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+          "id": {
+            "type": "string",
+            "nullable": true
+          },
+          "parentGraphId": {
+            "type": "string",
+            "nullable": true
+          },
+          "pipelineDefinitionId": {
+            "type": "string",
+            "nullable": true
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+            "type": "array",
+            "items": {
+              "$ref": "#/components/schemas/SubGraphParameterAssignment"
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+            "nullable": true
+          },
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+            "type": "array",
+            "items": {
+              "$ref": "#/components/schemas/SubGraphConcatenateAssignment"
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+            "nullable": true
+          },
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+            "type": "array",
+            "items": {
+              "$ref": "#/components/schemas/SubGraphDataPathParameterAssignment"
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+            "nullable": true
+          },
+          "subGraphDefaultComputeTargetNodes": {
+            "type": "array",
+            "items": {
+              "type": "string"
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+            "nullable": true
+          },
+          "subGraphDefaultDataStoreNodes": {
+            "type": "array",
+            "items": {
+              "type": "string"
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+            "nullable": true
+          },
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+            "type": "array",
+            "items": {
+              "$ref": "#/components/schemas/SubGraphPortInfo"
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+            "nullable": true
+          },
+          "outputs": {
+            "type": "array",
+            "items": {
+              "$ref": "#/components/schemas/SubGraphPortInfo"
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+            "nullable": true
+          }
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+        "additionalProperties": false
+      },
+      "SubGraphParameterAssignment": {
+        "type": "object",
+        "properties": {
+          "parameter": {
+            "$ref": "#/components/schemas/Parameter"
+          },
+          "parameterAssignments": {
+            "type": "array",
+            "items": {
+              "$ref": "#/components/schemas/SubPipelineParameterAssignment"
+            },
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "SubGraphPortInfo": {
+        "type": "object",
+        "properties": {
+          "name": {
+            "type": "string",
+            "nullable": true
+          },
+          "internal": {
+            "type": "array",
+            "items": {
+              "$ref": "#/components/schemas/SubGraphConnectionInfo"
+            },
+            "nullable": true
+          },
+          "external": {
+            "type": "array",
+            "items": {
+              "$ref": "#/components/schemas/SubGraphConnectionInfo"
+            },
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "SubPipelineDefinition": {
+        "type": "object",
+        "properties": {
+          "name": {
+            "type": "string",
+            "nullable": true
+          },
+          "description": {
+            "type": "string",
+            "nullable": true
+          },
+          "defaultComputeTarget": {
+            "$ref": "#/components/schemas/ComputeSetting"
+          },
+          "defaultDataStore": {
+            "$ref": "#/components/schemas/DatastoreSetting"
+          },
+          "pipelineFunctionName": {
+            "type": "string",
+            "nullable": true
+          },
+          "id": {
+            "type": "string",
+            "nullable": true
+          },
+          "parentDefinitionId": {
+            "type": "string",
+            "nullable": true
+          },
+          "fromModuleName": {
+            "type": "string",
+            "nullable": true
+          },
+          "parameterList": {
+            "type": "array",
+            "items": {
+              "$ref": "#/components/schemas/Kwarg"
+            },
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "SubPipelineParameterAssignment": {
+        "type": "object",
+        "properties": {
+          "nodeId": {
+            "type": "string",
+            "nullable": true
+          },
+          "parameterName": {
+            "type": "string",
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "SubPipelinesInfo": {
+        "type": "object",
+        "properties": {
+          "subGraphInfo": {
+            "type": "array",
+            "items": {
+              "$ref": "#/components/schemas/SubGraphInfo"
+            },
+            "nullable": true
+          },
+          "nodeIdToSubGraphIdMapping": {
+            "type": "object",
+            "additionalProperties": {
+              "type": "string",
+              "nullable": true
+            },
+            "nullable": true
+          },
+          "subPipelineDefinition": {
+            "type": "array",
+            "items": {
+              "$ref": "#/components/schemas/SubPipelineDefinition"
+            },
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "SubStatusPeriod": {
+        "type": "object",
+        "properties": {
+          "name": {
+            "type": "string",
+            "nullable": true
+          },
+          "subPeriods": {
+            "type": "array",
+            "items": {
+              "$ref": "#/components/schemas/SubStatusPeriod"
+            },
+            "nullable": true
+          },
+          "start": {
+            "type": "integer",
+            "format": "int64",
+            "nullable": true
+          },
+          "end": {
+            "type": "integer",
+            "format": "int64",
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "SubmitBulkRunRequest": {
+        "type": "object",
+        "properties": {
+          "flowDefinitionFilePath": {
+            "type": "string",
+            "nullable": true
+          },
+          "flowDefinitionResourceId": {
+            "type": "string",
+            "nullable": true
+          },
+          "flowDefinitionDataStoreName": {
+            "type": "string",
+            "nullable": true
+          },
+          "flowDefinitionBlobPath": {
+            "type": "string",
+            "nullable": true
+          },
+          "flowDefinitionDataUri": {
+            "type": "string",
+            "nullable": true
+          },
+          "runId": {
+            "type": "string",
+            "nullable": true
+          },
+          "runDisplayName": {
+            "type": "string",
+            "nullable": true
+          },
+          "runExperimentName": {
+            "type": "string",
+            "nullable": true
+          },
+          "nodeVariant": {
+            "type": "string",
+            "nullable": true
+          },
+          "variantRunId": {
+            "type": "string",
+            "nullable": true
+          },
+          "baselineRunId": {
+            "type": "string",
+            "nullable": true
+          },
+          "sessionId": {
+            "type": "string",
+            "nullable": true
+          },
+          "sessionSetupMode": {
+            "$ref": "#/components/schemas/SessionSetupModeEnum"
+          },
+          "sessionConfigMode": {
+            "$ref": "#/components/schemas/SessionConfigModeEnum"
+          },
+          "flowLineageId": {
+            "type": "string",
+            "nullable": true
+          },
+          "vmSize": {
+            "type": "string",
+            "nullable": true
+          },
+          "maxIdleTimeSeconds": {
+            "type": "integer",
+            "format": "int64",
+            "nullable": true
+          },
+          "identity": {
+            "type": "string",
+            "nullable": true
+          },
+          "computeName": {
+            "type": "string",
+            "nullable": true
+          },
+          "enableMultiContainer": {
+            "type": "boolean"
+          },
+          "flowRunDisplayName": {
+            "type": "string",
+            "nullable": true
+          },
+          "description": {
+            "type": "string",
+            "nullable": true
+          },
+          "tags": {
+            "type": "object",
+            "additionalProperties": {
+              "type": "string"
+            },
+            "description": "This is a dictionary",
+            "nullable": true
+          },
+          "properties": {
+            "type": "object",
+            "additionalProperties": {
+              "type": "string"
+            },
+            "description": "This is a dictionary",
+            "nullable": true
+          },
+          "runtimeName": {
+            "type": "string",
+            "nullable": true
+          },
+          "batchDataInput": {
+            "$ref": "#/components/schemas/BatchDataInput"
+          },
+          "inputsMapping": {
+            "type": "object",
+            "additionalProperties": {
+              "type": "string"
+            },
+            "description": "This is a dictionary",
+            "nullable": true
+          },
+          "connections": {
+            "type": "object",
+            "additionalProperties": {
+              "type": "object",
+              "additionalProperties": {
+                "type": "string"
+              },
+              "description": "This is a dictionary"
+            },
+            "description": "This is a dictionary",
+            "nullable": true
+          },
+          "environmentVariables": {
+            "type": "object",
+            "additionalProperties": {
+              "type": "string"
+            },
+            "description": "This is a dictionary",
+            "nullable": true
+          },
+          "outputDataStore": {
+            "type": "string",
+            "nullable": true
+          },
+          "runDisplayNameGenerationType": {
+            "$ref": "#/components/schemas/RunDisplayNameGenerationType"
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+          "collieRunSettings": {
+            "$ref": "#/components/schemas/CollieRunSettings"
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+            "type": "integer",
+            "format": "int32",
+            "nullable": true
+          },
+          "timeoutInSeconds": {
+            "type": "integer",
+            "format": "int32",
+            "nullable": true
+          },
+          "promptflowEngineType": {
+            "$ref": "#/components/schemas/PromptflowEngineType"
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+          "experimentNodeName": {
+            "type": "string",
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "SubmitBulkRunResponse": {
+        "type": "object",
+        "properties": {
+          "nextActionIntervalInSeconds": {
+            "type": "integer",
+            "format": "int32",
+            "nullable": true
+          },
+          "actionType": {
+            "$ref": "#/components/schemas/ActionType"
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+            "type": "array",
+            "items": { },
+            "nullable": true
+          },
+          "node_runs": {
+            "type": "array",
+            "items": { },
+            "nullable": true
+          },
+          "errorResponse": {
+            "$ref": "#/components/schemas/ErrorResponse"
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+          "flowName": {
+            "type": "string",
+            "nullable": true
+          },
+          "flowRunDisplayName": {
+            "type": "string",
+            "nullable": true
+          },
+          "flowRunId": {
+            "type": "string",
+            "nullable": true
+          },
+          "flowGraph": {
+            "$ref": "#/components/schemas/FlowGraph"
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+          "flowGraphLayout": {
+            "$ref": "#/components/schemas/FlowGraphLayout"
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+          "flowRunResourceId": {
+            "type": "string",
+            "nullable": true
+          },
+          "bulkTestId": {
+            "type": "string",
+            "nullable": true
+          },
+          "batchInputs": {
+            "type": "array",
+            "items": {
+              "type": "object",
+              "additionalProperties": { },
+              "description": "This is a dictionary"
+            },
+            "nullable": true
+          },
+          "batchDataInput": {
+            "$ref": "#/components/schemas/BatchDataInput"
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+          "createdBy": {
+            "$ref": "#/components/schemas/SchemaContractsCreatedBy"
+          },
+          "createdOn": {
+            "type": "string",
+            "format": "date-time",
+            "nullable": true
+          },
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+            "$ref": "#/components/schemas/FlowRunTypeEnum"
+          },
+          "flowType": {
+            "$ref": "#/components/schemas/FlowType"
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+            "type": "string",
+            "nullable": true
+          },
+          "amlComputeName": {
+            "type": "string",
+            "nullable": true
+          },
+          "flowRunLogs": {
+            "type": "object",
+            "additionalProperties": {
+              "type": "string",
+              "nullable": true
+            },
+            "nullable": true
+          },
+          "flowTestMode": {
+            "$ref": "#/components/schemas/FlowTestMode"
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+            "additionalProperties": {
+              "$ref": "#/components/schemas/FlowTestInfo"
+            },
+            "nullable": true
+          },
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+            "type": "string",
+            "nullable": true
+          },
+          "flowDagFileRelativePath": {
+            "type": "string",
+            "nullable": true
+          },
+          "flowSnapshotId": {
+            "type": "string",
+            "nullable": true
+          },
+          "variantRunToEvaluationRunsIdMapping": {
+            "type": "object",
+            "additionalProperties": {
+              "type": "array",
+              "items": {
+                "type": "string"
+              },
+              "nullable": true
+            },
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "SubmitExperimentRequest": {
+        "type": "object",
+        "properties": {
+          "experimentTemplateId": {
+            "type": "string",
+            "nullable": true
+          },
+          "experimentDefinitionSource": {
+            "$ref": "#/components/schemas/ExperimentDefinitionSource"
+          }
+        },
+        "additionalProperties": false
+      },
+      "SubmitFlowRequest": {
+        "type": "object",
+        "properties": {
+          "flowRunId": {
+            "type": "string",
+            "nullable": true
+          },
+          "flowRunDisplayName": {
+            "type": "string",
+            "nullable": true
+          },
+          "flowId": {
+            "type": "string",
+            "nullable": true
+          },
+          "flow": {
+            "$ref": "#/components/schemas/Flow"
+          },
+          "flowSubmitRunSettings": {
+            "$ref": "#/components/schemas/FlowSubmitRunSettings"
+          },
+          "asyncSubmission": {
+            "type": "boolean"
+          },
+          "useWorkspaceConnection": {
+            "type": "boolean"
+          },
+          "enableAsyncFlowTest": {
+            "type": "boolean"
+          },
+          "runDisplayNameGenerationType": {
+            "$ref": "#/components/schemas/RunDisplayNameGenerationType"
+          }
+        },
+        "additionalProperties": false
+      },
+      "SubmitPipelineRunRequest": {
+        "type": "object",
+        "properties": {
+          "computeTarget": {
+            "type": "string",
+            "nullable": true
+          },
+          "flattenedSubGraphs": {
+            "type": "object",
+            "additionalProperties": {
+              "$ref": "#/components/schemas/PipelineSubDraft"
+            },
+            "nullable": true
+          },
+          "stepTags": {
+            "type": "object",
+            "additionalProperties": {
+              "type": "string"
+            },
+            "description": "This is a dictionary",
+            "nullable": true
+          },
+          "experimentName": {
+            "type": "string",
+            "nullable": true
+          },
+          "pipelineParameters": {
+            "type": "object",
+            "additionalProperties": {
+              "type": "string"
+            },
+            "description": "This is a dictionary",
+            "nullable": true
+          },
+          "dataPathAssignments": {
+            "type": "object",
+            "additionalProperties": {
+              "$ref": "#/components/schemas/LegacyDataPath"
+            },
+            "description": "This is a dictionary",
+            "nullable": true
+          },
+          "dataSetDefinitionValueAssignments": {
+            "type": "object",
+            "additionalProperties": {
+              "$ref": "#/components/schemas/DataSetDefinitionValue"
+            },
+            "description": "This is a dictionary",
+            "nullable": true
+          },
+          "assetOutputSettingsAssignments": {
+            "type": "object",
+            "additionalProperties": {
+              "$ref": "#/components/schemas/AssetOutputSettings"
+            },
+            "description": "This is a dictionary",
+            "nullable": true
+          },
+          "enableNotification": {
+            "type": "boolean",
+            "nullable": true
+          },
+          "subPipelinesInfo": {
+            "$ref": "#/components/schemas/SubPipelinesInfo"
+          },
+          "displayName": {
+            "type": "string",
+            "nullable": true
+          },
+          "runId": {
+            "type": "string",
+            "nullable": true
+          },
+          "parentRunId": {
+            "type": "string",
+            "nullable": true
+          },
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+            "$ref": "#/components/schemas/GraphDraftEntity"
+          },
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+            "type": "array",
+            "items": {
+              "$ref": "#/components/schemas/RunSettingParameterAssignment"
+            },
+            "nullable": true
+          },
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+            "type": "array",
+            "items": {
+              "$ref": "#/components/schemas/GraphModuleNodeRunSetting"
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+            "nullable": true
+          },
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+            "type": "array",
+            "items": {
+              "$ref": "#/components/schemas/GraphModuleNodeUIInputSetting"
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+            "nullable": true
+          },
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+            "type": "object",
+            "additionalProperties": {
+              "type": "string"
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+            "description": "This is a dictionary",
+            "nullable": true
+          },
+          "continueRunOnStepFailure": {
+            "type": "boolean",
+            "nullable": true
+          },
+          "description": {
+            "type": "string",
+            "nullable": true
+          },
+          "properties": {
+            "type": "object",
+            "additionalProperties": {
+              "type": "string"
+            },
+            "description": "This is a dictionary",
+            "nullable": true
+          },
+          "enforceRerun": {
+            "type": "boolean",
+            "nullable": true
+          },
+          "datasetAccessModes": {
+            "$ref": "#/components/schemas/DatasetAccessModes"
+          }
+        },
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+      },
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+          "Zero",
+          "ZeroOrGreater"
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+        "type": "string"
+      },
+      "SweepEarlyTerminationPolicy": {
+        "type": "object",
+        "properties": {
+          "policyType": {
+            "$ref": "#/components/schemas/EarlyTerminationPolicyType"
+          },
+          "evaluationInterval": {
+            "type": "integer",
+            "format": "int32",
+            "nullable": true
+          },
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+            "type": "integer",
+            "format": "int32",
+            "nullable": true
+          },
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+            "type": "number",
+            "format": "float",
+            "nullable": true
+          },
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+            "type": "number",
+            "format": "float",
+            "nullable": true
+          },
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+            "type": "integer",
+            "format": "int32",
+            "nullable": true
+          }
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+      },
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+        "type": "object",
+        "properties": {
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+            "$ref": "#/components/schemas/SweepSettingsLimits"
+          },
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+            "type": "array",
+            "items": {
+              "type": "object",
+              "additionalProperties": {
+                "type": "string"
+              }
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+            "nullable": true
+          },
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+            "$ref": "#/components/schemas/SamplingAlgorithmType"
+          },
+          "earlyTermination": {
+            "$ref": "#/components/schemas/SweepEarlyTerminationPolicy"
+          }
+        },
+        "additionalProperties": false
+      },
+      "SweepSettingsLimits": {
+        "type": "object",
+        "properties": {
+          "maxTotalTrials": {
+            "type": "integer",
+            "format": "int32",
+            "nullable": true
+          },
+          "maxConcurrentTrials": {
+            "type": "integer",
+            "format": "int32",
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
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+        "type": "object",
+        "properties": {
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+            "type": "string",
+            "format": "date-time",
+            "nullable": true
+          },
+          "createdBy": {
+            "type": "string",
+            "nullable": true
+          },
+          "createdByType": {
+            "$ref": "#/components/schemas/UserType"
+          },
+          "lastModifiedAt": {
+            "type": "string",
+            "format": "date-time",
+            "nullable": true
+          },
+          "lastModifiedBy": {
+            "type": "string",
+            "nullable": true
+          },
+          "lastModifiedByType": {
+            "$ref": "#/components/schemas/UserType"
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+        },
+        "additionalProperties": false
+      },
+      "SystemMeta": {
+        "type": "object",
+        "properties": {
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+            "type": "string",
+            "nullable": true
+          },
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+            "type": "string",
+            "nullable": true
+          },
+          "contentHash": {
+            "type": "string",
+            "nullable": true
+          },
+          "identifierHashes": {
+            "type": "object",
+            "properties": {
+              "IdentifierHash": {
+                "type": "string"
+              },
+              "IdentifierHashV2": {
+                "type": "string"
+              }
+            },
+            "additionalProperties": false,
+            "nullable": true
+          },
+          "extraHashes": {
+            "type": "object",
+            "properties": {
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+                "type": "string"
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+              "IdentifierHashV2": {
+                "type": "string"
+              }
+            },
+            "additionalProperties": false,
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
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+          "NonDistributed",
+          "Auto"
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+        "type": "string"
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+          "Min",
+          "Mean"
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+        "type": "string"
+      },
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+        "type": "object",
+        "properties": {
+          "mode": {
+            "$ref": "#/components/schemas/TargetLagsMode"
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+            "type": "array",
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+              "type": "integer",
+              "format": "int32"
+            },
+            "nullable": true
+          }
+        },
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+      },
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+        "enum": [
+          "Auto",
+          "Custom"
+        ],
+        "type": "string"
+      },
+      "TargetRollingWindowSize": {
+        "type": "object",
+        "properties": {
+          "mode": {
+            "$ref": "#/components/schemas/TargetRollingWindowSizeMode"
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+          "value": {
+            "type": "integer",
+            "format": "int32"
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+        },
+        "additionalProperties": false
+      },
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+        "enum": [
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+          "Custom"
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+        "type": "string"
+      },
+      "TargetSelectorConfiguration": {
+        "type": "object",
+        "properties": {
+          "lowPriorityVMTolerant": {
+            "type": "boolean"
+          },
+          "clusterBlockList": {
+            "type": "array",
+            "items": {
+              "type": "string"
+            },
+            "nullable": true
+          },
+          "computeType": {
+            "type": "string",
+            "nullable": true
+          },
+          "instanceType": {
+            "type": "array",
+            "items": {
+              "type": "string"
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+            "nullable": true
+          },
+          "instanceTypes": {
+            "type": "array",
+            "items": {
+              "type": "string"
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+            "nullable": true
+          },
+          "myResourceOnly": {
+            "type": "boolean"
+          },
+          "planId": {
+            "type": "string",
+            "nullable": true
+          },
+          "planRegionId": {
+            "type": "string",
+            "nullable": true
+          },
+          "region": {
+            "type": "array",
+            "items": {
+              "type": "string"
+            },
+            "nullable": true
+          },
+          "regions": {
+            "type": "array",
+            "items": {
+              "type": "string"
+            },
+            "nullable": true
+          },
+          "vcBlockList": {
+            "type": "array",
+            "items": {
+              "type": "string"
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+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "Task": {
+        "type": "object",
+        "properties": {
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+          }
+        },
+        "additionalProperties": false
+      },
+      "UIJsonEditor": {
+        "type": "object",
+        "properties": {
+          "jsonSchema": {
+            "type": "string",
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "UIParameterHint": {
+        "type": "object",
+        "properties": {
+          "uiWidgetType": {
+            "$ref": "#/components/schemas/UIWidgetTypeEnum"
+          },
+          "columnPicker": {
+            "$ref": "#/components/schemas/UIColumnPicker"
+          },
+          "uiScriptLanguage": {
+            "$ref": "#/components/schemas/UIScriptLanguageEnum"
+          },
+          "jsonEditor": {
+            "$ref": "#/components/schemas/UIJsonEditor"
+          },
+          "PromptFlowConnectionSelector": {
+            "$ref": "#/components/schemas/UIPromptFlowConnectionSelector"
+          },
+          "AzureOpenAIDeploymentNameSelector": {
+            "$ref": "#/components/schemas/UIAzureOpenAIDeploymentNameSelector"
+          },
+          "UxIgnore": {
+            "type": "boolean"
+          },
+          "Anonymous": {
+            "type": "boolean"
+          }
+        },
+        "additionalProperties": false
+      },
+      "UIPromptFlowConnectionSelector": {
+        "type": "object",
+        "properties": {
+          "PromptFlowConnectionType": {
+            "type": "string",
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "UIScriptLanguageEnum": {
+        "enum": [
+          "None",
+          "Python",
+          "R",
+          "Json",
+          "Sql"
+        ],
+        "type": "string"
+      },
+      "UIWidgetMetaInfo": {
+        "type": "object",
+        "properties": {
+          "moduleNodeId": {
+            "type": "string",
+            "nullable": true
+          },
+          "metaModuleId": {
+            "type": "string",
+            "nullable": true
+          },
+          "parameterName": {
+            "type": "string",
+            "nullable": true
+          },
+          "uiWidgetType": {
+            "$ref": "#/components/schemas/UIWidgetTypeEnum"
+          }
+        },
+        "additionalProperties": false
+      },
+      "UIWidgetTypeEnum": {
+        "enum": [
+          "Default",
+          "Mode",
+          "ColumnPicker",
+          "Credential",
+          "Script",
+          "ComputeSelection",
+          "JsonEditor",
+          "SearchSpaceParameter",
+          "SectionToggle",
+          "YamlEditor",
+          "EnableRuntimeSweep",
+          "DataStoreSelection",
+          "InstanceTypeSelection",
+          "ConnectionSelection",
+          "PromptFlowConnectionSelection",
+          "AzureOpenAIDeploymentNameSelection"
+        ],
+        "type": "string"
+      },
+      "UIYamlEditor": {
+        "type": "object",
+        "properties": {
+          "jsonSchema": {
+            "type": "string",
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "UnversionedEntityRequestDto": {
+        "type": "object",
+        "properties": {
+          "unversionedEntityIds": {
+            "type": "array",
+            "items": {
+              "type": "string"
+            },
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "UnversionedEntityResponseDto": {
+        "type": "object",
+        "properties": {
+          "unversionedEntities": {
+            "type": "array",
+            "items": {
+              "$ref": "#/components/schemas/FlowIndexEntity"
+            },
+            "nullable": true
+          },
+          "unversionedEntityJsonSchema": {
+            "nullable": true
+          },
+          "normalizedRequestCharge": {
+            "type": "number",
+            "format": "double"
+          },
+          "normalizedRequestChargePeriod": {
+            "type": "string",
+            "format": "date-span"
+          }
+        },
+        "additionalProperties": false
+      },
+      "UnversionedRebuildIndexDto": {
+        "type": "object",
+        "properties": {
+          "continuationToken": {
+            "type": "string",
+            "nullable": true
+          },
+          "entityCount": {
+            "type": "integer",
+            "format": "int32",
+            "nullable": true
+          },
+          "entityContainerType": {
+            "type": "string",
+            "nullable": true
+          },
+          "entityType": {
+            "type": "string",
+            "nullable": true
+          },
+          "resourceId": {
+            "type": "string",
+            "nullable": true
+          },
+          "workspaceId": {
+            "type": "string",
+            "nullable": true
+          },
+          "immutableResourceId": {
+            "type": "string",
+            "format": "uuid"
+          },
+          "startTime": {
+            "type": "string",
+            "format": "date-time",
+            "nullable": true
+          },
+          "endTime": {
+            "type": "string",
+            "format": "date-time",
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "UnversionedRebuildResponseDto": {
+        "type": "object",
+        "properties": {
+          "entities": {
+            "$ref": "#/components/schemas/SegmentedResult`1"
+          },
+          "unversionedEntitySchema": {
+            "nullable": true
+          },
+          "normalizedRequestCharge": {
+            "type": "number",
+            "format": "double"
+          },
+          "normalizedRequestChargePeriod": {
+            "type": "string",
+            "format": "date-span"
+          }
+        },
+        "additionalProperties": false
+      },
+      "UpdateComponentRequest": {
+        "type": "object",
+        "properties": {
+          "displayName": {
+            "type": "string",
+            "nullable": true
+          },
+          "description": {
+            "type": "string",
+            "nullable": true
+          },
+          "tags": {
+            "type": "object",
+            "additionalProperties": {
+              "type": "string",
+              "nullable": true
+            },
+            "nullable": true
+          },
+          "moduleUpdateOperationType": {
+            "$ref": "#/components/schemas/ModuleUpdateOperationType"
+          },
+          "moduleVersion": {
+            "type": "string",
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "UpdateFlowRequest": {
+        "type": "object",
+        "properties": {
+          "flowRunResult": {
+            "$ref": "#/components/schemas/FlowRunResult"
+          },
+          "flowTestMode": {
+            "$ref": "#/components/schemas/FlowTestMode"
+          },
+          "flowTestInfos": {
+            "type": "object",
+            "additionalProperties": {
+              "$ref": "#/components/schemas/FlowTestInfo"
+            },
+            "nullable": true
+          },
+          "flowName": {
+            "type": "string",
+            "nullable": true
+          },
+          "description": {
+            "type": "string",
+            "nullable": true
+          },
+          "details": {
+            "type": "string",
+            "nullable": true
+          },
+          "tags": {
+            "type": "object",
+            "additionalProperties": {
+              "type": "string",
+              "nullable": true
+            },
+            "nullable": true
+          },
+          "flow": {
+            "$ref": "#/components/schemas/Flow"
+          },
+          "flowDefinitionFilePath": {
+            "type": "string",
+            "nullable": true
+          },
+          "flowType": {
+            "$ref": "#/components/schemas/FlowType"
+          },
+          "flowRunSettings": {
+            "$ref": "#/components/schemas/FlowRunSettings"
+          },
+          "isArchived": {
+            "type": "boolean"
+          },
+          "vmSize": {
+            "type": "string",
+            "nullable": true
+          },
+          "maxIdleTimeSeconds": {
+            "type": "integer",
+            "format": "int64",
+            "nullable": true
+          },
+          "identity": {
+            "type": "string",
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "UpdateFlowRuntimeRequest": {
+        "type": "object",
+        "properties": {
+          "runtimeDescription": {
+            "type": "string",
+            "nullable": true
+          },
+          "environment": {
+            "type": "string",
+            "nullable": true
+          },
+          "instanceCount": {
+            "type": "integer",
+            "format": "int32"
+          }
+        },
+        "additionalProperties": false
+      },
+      "UpdateFlowStatusRequest": {
+        "type": "object",
+        "properties": {
+          "flowRunStatus": {
+            "$ref": "#/components/schemas/FlowRunStatusEnum"
+          },
+          "errorResponse": {
+            "$ref": "#/components/schemas/ErrorResponse"
+          }
+        },
+        "additionalProperties": false
+      },
+      "UpdateRegistryComponentRequest": {
+        "type": "object",
+        "properties": {
+          "registryName": {
+            "type": "string",
+            "nullable": true
+          },
+          "componentName": {
+            "type": "string",
+            "nullable": true
+          },
+          "componentVersion": {
+            "type": "string",
+            "nullable": true
+          },
+          "updateType": {
+            "$ref": "#/components/schemas/UpdateType"
+          }
+        },
+        "additionalProperties": false
+      },
+      "UpdateType": {
+        "enum": [
+          "SetDefaultVersion"
+        ],
+        "type": "string"
+      },
+      "UploadOptions": {
+        "type": "object",
+        "properties": {
+          "overwrite": {
+            "type": "boolean"
+          },
+          "sourceGlobs": {
+            "$ref": "#/components/schemas/ExecutionGlobsOptions"
+          }
+        },
+        "additionalProperties": false
+      },
+      "UploadState": {
+        "enum": [
+          "Uploading",
+          "Completed",
+          "Canceled",
+          "Failed"
+        ],
+        "type": "string"
+      },
+      "UriReference": {
+        "type": "object",
+        "properties": {
+          "path": {
+            "type": "string",
+            "nullable": true
+          },
+          "isFile": {
+            "type": "boolean"
+          }
+        },
+        "additionalProperties": false
+      },
+      "UseStl": {
+        "enum": [
+          "Season",
+          "SeasonTrend"
+        ],
+        "type": "string"
+      },
+      "User": {
+        "type": "object",
+        "properties": {
+          "userObjectId": {
+            "type": "string",
+            "description": "A user or service principal's object ID.\r\nThis is EUPI and may only be logged to warm path telemetry.",
+            "nullable": true
+          },
+          "userPuId": {
+            "type": "string",
+            "description": "A user or service principal's PuID.\r\nThis is PII and should never be logged.",
+            "nullable": true
+          },
+          "userIdp": {
+            "type": "string",
+            "description": "A user identity provider. Eg live.com\r\nThis is PII and should never be logged.",
+            "nullable": true
+          },
+          "userAltSecId": {
+            "type": "string",
+            "description": "A user alternate sec id. This represents the user in a different identity provider system Eg.1:live.com:puid\r\nThis is PII and should never be logged.",
+            "nullable": true
+          },
+          "userIss": {
+            "type": "string",
+            "description": "The issuer which issed the token for this user.\r\nThis is PII and should never be logged.",
+            "nullable": true
+          },
+          "userTenantId": {
+            "type": "string",
+            "description": "A user or service principal's tenant ID.",
+            "nullable": true
+          },
+          "userName": {
+            "type": "string",
+            "description": "A user's full name or a service principal's app ID.\r\nThis is PII and should never be logged.",
+            "nullable": true
+          },
+          "upn": {
+            "type": "string",
+            "description": "A user's Principal name (upn)\r\nThis is PII andshould never be logged",
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "UserAssignedIdentity": {
+        "type": "object",
+        "properties": {
+          "principalId": {
+            "type": "string",
+            "format": "uuid"
+          },
+          "clientId": {
+            "type": "string",
+            "format": "uuid"
+          }
+        },
+        "additionalProperties": false
+      },
+      "UserType": {
+        "enum": [
+          "User",
+          "Application",
+          "ManagedIdentity",
+          "Key"
+        ],
+        "type": "string"
+      },
+      "ValidationDataSettings": {
+        "type": "object",
+        "properties": {
+          "nCrossValidations": {
+            "$ref": "#/components/schemas/NCrossValidations"
+          },
+          "validationDataSize": {
+            "type": "number",
+            "format": "double",
+            "nullable": true
+          },
+          "cvSplitColumnNames": {
+            "type": "array",
+            "items": {
+              "type": "string"
+            },
+            "nullable": true
+          },
+          "validationType": {
+            "type": "string",
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "ValidationStatus": {
+        "enum": [
+          "Succeeded",
+          "Failed"
+        ],
+        "type": "string"
+      },
+      "ValueType": {
+        "enum": [
+          "int",
+          "double",
+          "bool",
+          "string",
+          "secret",
+          "prompt_template",
+          "object",
+          "list",
+          "BingConnection",
+          "OpenAIConnection",
+          "AzureOpenAIConnection",
+          "AzureContentModeratorConnection",
+          "CustomConnection",
+          "AzureContentSafetyConnection",
+          "SerpConnection",
+          "CognitiveSearchConnection",
+          "SubstrateLLMConnection",
+          "PineconeConnection",
+          "QdrantConnection",
+          "WeaviateConnection",
+          "function_list",
+          "function_str",
+          "FormRecognizerConnection",
+          "file_path",
+          "image",
+          "assistant_definition",
+          "ServerlessConnection"
+        ],
+        "type": "string"
+      },
+      "VariantIdentifier": {
+        "type": "object",
+        "properties": {
+          "variantId": {
+            "type": "string",
+            "nullable": true
+          },
+          "tuningNodeName": {
+            "type": "string",
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "VariantNode": {
+        "type": "object",
+        "properties": {
+          "node": {
+            "$ref": "#/components/schemas/Node"
+          },
+          "description": {
+            "type": "string",
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "VmPriority": {
+        "enum": [
+          "Dedicated",
+          "Lowpriority"
+        ],
+        "type": "string"
+      },
+      "Volume": {
+        "type": "object",
+        "properties": {
+          "type": {
+            "type": "string",
+            "nullable": true
+          },
+          "source": {
+            "type": "string",
+            "nullable": true
+          },
+          "target": {
+            "type": "string",
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "WebServiceComputeMetaInfo": {
+        "type": "object",
+        "properties": {
+          "nodeCount": {
+            "type": "integer",
+            "format": "int32"
+          },
+          "isSslEnabled": {
+            "type": "boolean"
+          },
+          "aksNotFound": {
+            "type": "boolean"
+          },
+          "clusterPurpose": {
+            "type": "string",
+            "nullable": true
+          },
+          "publicIpAddress": {
+            "type": "string",
+            "nullable": true
+          },
+          "vmSize": {
+            "type": "string",
+            "nullable": true
+          },
+          "location": {
+            "type": "string",
+            "nullable": true
+          },
+          "provisioningState": {
+            "type": "string",
+            "nullable": true
+          },
+          "state": {
+            "type": "string",
+            "nullable": true
+          },
+          "osType": {
+            "type": "string",
+            "nullable": true
+          },
+          "id": {
+            "type": "string",
+            "nullable": true
+          },
+          "name": {
+            "type": "string",
+            "nullable": true
+          },
+          "createdByStudio": {
+            "type": "boolean"
+          },
+          "isGpuType": {
+            "type": "boolean"
+          },
+          "resourceId": {
+            "type": "string",
+            "nullable": true
+          },
+          "computeType": {
+            "type": "string",
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "WebServicePort": {
+        "type": "object",
+        "properties": {
+          "nodeId": {
+            "type": "string",
+            "nullable": true
+          },
+          "portName": {
+            "type": "string",
+            "nullable": true
+          },
+          "name": {
+            "type": "string",
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "WebServiceState": {
+        "enum": [
+          "Transitioning",
+          "Healthy",
+          "Unhealthy",
+          "Failed",
+          "Unschedulable"
+        ],
+        "type": "string"
+      },
+      "Webhook": {
+        "type": "object",
+        "properties": {
+          "webhookType": {
+            "$ref": "#/components/schemas/WebhookType"
+          },
+          "eventType": {
+            "type": "string",
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "WebhookType": {
+        "enum": [
+          "AzureDevOps"
+        ],
+        "type": "string"
+      },
+      "WeekDays": {
+        "enum": [
+          "Monday",
+          "Tuesday",
+          "Wednesday",
+          "Thursday",
+          "Friday",
+          "Saturday",
+          "Sunday"
+        ],
+        "type": "string"
+      },
+      "Weekday": {
+        "enum": [
+          "Monday",
+          "Tuesday",
+          "Wednesday",
+          "Thursday",
+          "Friday",
+          "Saturday",
+          "Sunday"
+        ],
+        "type": "string"
+      },
+      "WorkspaceConnectionSpec": {
+        "type": "object",
+        "properties": {
+          "connectionCategory": {
+            "$ref": "#/components/schemas/ConnectionCategory"
+          },
+          "flowValueType": {
+            "$ref": "#/components/schemas/ValueType"
+          },
+          "connectionType": {
+            "$ref": "#/components/schemas/ConnectionType"
+          },
+          "connectionTypeDisplayName": {
+            "type": "string",
+            "nullable": true
+          },
+          "configSpecs": {
+            "type": "array",
+            "items": {
+              "$ref": "#/components/schemas/ConnectionConfigSpec"
+            },
+            "nullable": true
+          },
+          "module": {
+            "type": "string",
+            "nullable": true
+          }
+        },
+        "additionalProperties": false
+      },
+      "YarnDeployMode": {
+        "enum": [
+          "None",
+          "Client",
+          "Cluster"
+        ],
+        "type": "string"
+      }
+    },
+    "parameters": {
+      "subscriptionIdParameter": {
+        "name": "subscriptionId",
+        "in": "path",
+        "description": "The Azure Subscription ID.",
+        "required": true,
+        "schema": {
+          "type": "string",
+          "format": "uuid"
+        },
+        "x-ms-parameter-location": "method"
+      },
+      "resourceGroupNameParameter": {
+        "name": "resourceGroupName",
+        "in": "path",
+        "description": "The Name of the resource group in which the workspace is located.",
+        "required": true,
+        "schema": {
+          "type": "string"
+        },
+        "x-ms-parameter-location": "method"
+      },
+      "workspaceNameParameter": {
+        "name": "workspaceName",
+        "in": "path",
+        "description": "The name of the workspace.",
+        "required": true,
+        "schema": {
+          "type": "string"
+        },
+        "x-ms-parameter-location": "method"
+      }
+    },
+    "securitySchemes": {
+      "azure_auth": {
+        "type": "oauth2",
+        "flows": {
+          "implicit": {
+            "authorizationUrl": "https://login.microsoftonline.com/common/oauth2/authorize",
+            "scopes": {
+              "user_impersonation": "impersonate your user account"
+            }
+          }
+        }
+      }
+    }
+  },
+  "security": [
+    {
+      "azure_auth": [
+        "user_impersonation"
+      ]
+    }
+  ]
+}
\ No newline at end of file
diff --git a/src/promptflow/promptflow/_cli/_pf_azure/__init__.py b/src/promptflow-azure/promptflow/azure/_schemas/__init__.py
similarity index 100%
rename from src/promptflow/promptflow/_cli/_pf_azure/__init__.py
rename to src/promptflow-azure/promptflow/azure/_schemas/__init__.py
diff --git a/src/promptflow/promptflow/azure/_schemas/_flow_schema.py b/src/promptflow-azure/promptflow/azure/_schemas/_flow_schema.py
similarity index 100%
rename from src/promptflow/promptflow/azure/_schemas/_flow_schema.py
rename to src/promptflow-azure/promptflow/azure/_schemas/_flow_schema.py
diff --git a/src/promptflow/promptflow/_utils/__init__.py b/src/promptflow-azure/promptflow/azure/_storage/__init__.py
similarity index 100%
rename from src/promptflow/promptflow/_utils/__init__.py
rename to src/promptflow-azure/promptflow/azure/_storage/__init__.py
diff --git a/src/promptflow/promptflow/azure/_restclient/__init__.py b/src/promptflow-azure/promptflow/azure/_storage/blob/__init__.py
similarity index 100%
rename from src/promptflow/promptflow/azure/_restclient/__init__.py
rename to src/promptflow-azure/promptflow/azure/_storage/blob/__init__.py
diff --git a/src/promptflow-azure/promptflow/azure/_storage/blob/client.py b/src/promptflow-azure/promptflow/azure/_storage/blob/client.py
new file mode 100644
index 00000000000..3b880cdea0d
--- /dev/null
+++ b/src/promptflow-azure/promptflow/azure/_storage/blob/client.py
@@ -0,0 +1,113 @@
+import datetime
+import logging
+import threading
+import traceback
+from typing import Optional, Tuple
+
+from azure.ai.ml import MLClient
+from azure.ai.ml._azure_environments import _get_storage_endpoint_from_metadata
+from azure.ai.ml._restclient.v2022_10_01.models import DatastoreType
+from azure.ai.ml.constants._common import LONG_URI_FORMAT, STORAGE_ACCOUNT_URLS
+from azure.ai.ml.entities._datastore.datastore import Datastore
+from azure.storage.blob import ContainerClient
+
+from promptflow.exceptions import UserErrorException
+
+_datastore_cache = {}
+_thread_lock = threading.Lock()
+_cache_timeout = 60 * 4  # Align the cache ttl with cosmosdb client.
+
+
+def get_datastore_container_client(
+    logger: logging.Logger,
+    subscription_id: str,
+    resource_group_name: str,
+    workspace_name: str,
+    credential: Optional[object] = None,
+) -> Tuple[ContainerClient, str]:
+    try:
+        # To write data to blob, user should have "Storage Blob Data Contributor" to the storage account.
+        if credential is None:
+            from azure.identity import DefaultAzureCredential
+
+            credential = DefaultAzureCredential()
+
+        default_datastore = get_default_datastore(subscription_id, resource_group_name, workspace_name, credential)
+
+        storage_endpoint = _get_storage_endpoint_from_metadata()
+        account_url = STORAGE_ACCOUNT_URLS[DatastoreType.AZURE_BLOB].format(
+            default_datastore.account_name, storage_endpoint
+        )
+
+        # Datastore is a notion of AzureML, it is not a notion of Blob Storage.
+        # So, we cannot get datastore name by blob client.
+        # To generate the azureml uri has datastore name, we need to generate the uri here and pass in to db client.
+        container_client = ContainerClient(
+            account_url=account_url, container_name=default_datastore.container_name, credential=credential
+        )
+        blob_base_uri = LONG_URI_FORMAT.format(
+            subscription_id, resource_group_name, workspace_name, default_datastore.name, ""
+        )
+        if not blob_base_uri.endswith("/"):
+            blob_base_uri += "/"
+
+        logger.info(f"Get blob base url for {blob_base_uri}")
+
+        return container_client, blob_base_uri
+
+    except Exception as e:
+        stack_trace = traceback.format_exc()
+        logger.error(f"Failed to get blob client: {e}, stack trace is {stack_trace}")
+        raise
+
+
+def get_default_datastore(
+    subscription_id: str, resource_group_name: str, workspace_name: str, credential: Optional[object]
+) -> Datastore:
+
+    datastore_key = _get_datastore_client_key(subscription_id, resource_group_name, workspace_name)
+    datastore = _get_datastore_from_cache(datastore_key=datastore_key)
+    if datastore is None:
+        with _thread_lock:
+            datastore = _get_datastore_from_cache(datastore_key=datastore_key)
+            if datastore is None:
+                datastore = _get_default_datastore(subscription_id, resource_group_name, workspace_name, credential)
+                _datastore_cache[datastore_key] = {
+                    "expire_at": datetime.datetime.now() + datetime.timedelta(seconds=_cache_timeout),
+                    "datastore": datastore,
+                }
+    return datastore
+
+
+def _get_datastore_from_cache(datastore_key: str):
+    datastore = _datastore_cache.get(datastore_key)
+
+    if datastore and datastore["expire_at"] > datetime.datetime.now():
+        return datastore["datastore"]
+
+    return None
+
+
+def _get_datastore_client_key(subscription_id: str, resource_group_name: str, workspace_name: str) -> str:
+    # Azure name allow hyphens and underscores. User @ to avoid possible conflict.
+    return f"{subscription_id}@{resource_group_name}@{workspace_name}"
+
+
+def _get_default_datastore(
+    subscription_id: str, resource_group_name: str, workspace_name: str, credential: Optional[object]
+) -> Datastore:
+
+    ml_client = MLClient(
+        credential=credential,
+        subscription_id=subscription_id,
+        resource_group_name=resource_group_name,
+        workspace_name=workspace_name,
+    )
+
+    default_datastore = ml_client.datastores.get_default()
+    if default_datastore.type != DatastoreType.AZURE_BLOB:
+        raise UserErrorException(
+            message=f"Default datastore {default_datastore.name} is {default_datastore.type}, not AzureBlob."
+        )
+
+    return default_datastore
diff --git a/src/promptflow/promptflow/azure/_storage/__init__.py b/src/promptflow-azure/promptflow/azure/_storage/cosmosdb/__init__.py
similarity index 100%
rename from src/promptflow/promptflow/azure/_storage/__init__.py
rename to src/promptflow-azure/promptflow/azure/_storage/cosmosdb/__init__.py
diff --git a/src/promptflow/promptflow/azure/_storage/cosmosdb/client.py b/src/promptflow-azure/promptflow/azure/_storage/cosmosdb/client.py
similarity index 77%
rename from src/promptflow/promptflow/azure/_storage/cosmosdb/client.py
rename to src/promptflow-azure/promptflow/azure/_storage/cosmosdb/client.py
index c91dc3b27e6..22e7f173c9c 100644
--- a/src/promptflow/promptflow/azure/_storage/cosmosdb/client.py
+++ b/src/promptflow-azure/promptflow/azure/_storage/cosmosdb/client.py
@@ -5,6 +5,7 @@
 import ast
 import datetime
 import threading
+from typing import Optional
 
 client_map = {}
 _thread_lock = threading.Lock()
@@ -12,7 +13,13 @@
 _token_timeout = 60 * 4  # Will try to refresh token if exceed 4 minutes
 
 
-def get_client(container_name: str, subscription_id: str, resource_group_name: str, workspace_name: str):
+def get_client(
+    container_name: str,
+    subscription_id: str,
+    resource_group_name: str,
+    workspace_name: str,
+    credential: Optional[object] = None,
+):
     client_key = _get_db_client_key(container_name, subscription_id, resource_group_name, workspace_name)
     container_client = _get_client_from_map(client_key)
     if container_client is None:
@@ -21,7 +28,13 @@ def get_client(container_name: str, subscription_id: str, resource_group_name: s
         with container_lock:
             container_client = _get_client_from_map(client_key)
             if container_client is None:
-                token = _get_resource_token(container_name, subscription_id, resource_group_name, workspace_name)
+                if credential is None:
+                    from azure.identity import DefaultAzureCredential
+
+                    credential = DefaultAzureCredential()
+                token = _get_resource_token(
+                    container_name, subscription_id, resource_group_name, workspace_name, credential
+                )
                 container_client = _init_container_client(
                     endpoint=token["accountEndpoint"],
                     database_name=token["databaseName"],
@@ -57,14 +70,16 @@ def _get_container_lock(client_key: str):
 
 
 def _get_resource_token(
-    container_name: str, subscription_id: str, resource_group_name: str, workspace_name: str
+    container_name: str,
+    subscription_id: str,
+    resource_group_name: str,
+    workspace_name: str,
+    credential: Optional[object],
 ) -> object:
-    from azure.identity import DefaultAzureCredential
-
     from promptflow.azure import PFClient
 
     pf_client = PFClient(
-        credential=DefaultAzureCredential(),
+        credential=credential,
         subscription_id=subscription_id,
         resource_group_name=resource_group_name,
         workspace_name=workspace_name,
@@ -86,4 +101,5 @@ def _init_container_client(endpoint: str, database_name: str, container_name: st
 
 
 def _get_db_client_key(container_name: str, subscription_id: str, resource_group_name: str, workspace_name: str) -> str:
-    return f"{subscription_id}_{resource_group_name}_{workspace_name}_{container_name}"
+    # Azure name allow hyphens and underscores. User @ to avoid possible conflict.
+    return f"{subscription_id}@{resource_group_name}@{workspace_name}@{container_name}"
diff --git a/src/promptflow-azure/promptflow/azure/_storage/cosmosdb/collection.py b/src/promptflow-azure/promptflow/azure/_storage/cosmosdb/collection.py
new file mode 100644
index 00000000000..4f3eaa74261
--- /dev/null
+++ b/src/promptflow-azure/promptflow/azure/_storage/cosmosdb/collection.py
@@ -0,0 +1,88 @@
+# ---------------------------------------------------------
+# Copyright (c) Microsoft Corporation. All rights reserved.
+# ---------------------------------------------------------
+
+import time
+from dataclasses import dataclass
+from enum import Enum
+from typing import Any, Dict
+
+from azure.cosmos import ContainerProxy
+
+from promptflow._constants import SpanAttributeFieldName, SpanResourceAttributesFieldName, SpanResourceFieldName
+from promptflow._sdk._constants import TRACE_DEFAULT_COLLECTION, CreatedByFieldName
+from promptflow._sdk.entities._trace import Span
+from promptflow.azure._storage.cosmosdb.cosmosdb_utils import safe_create_cosmosdb_item
+
+
+@dataclass
+class Collection:
+    id: str  # Collection id for cosmosDB query, usually hide from customer
+    partition_key: str
+    name: str  # Display name for customer facing UI
+    created_at: int
+    updated_at: int
+    created_by: Dict[str, Any]
+    location: int
+
+
+class LocationType(int, Enum):
+    LOCAL = 0
+    CLOUD = 1
+
+
+def generate_collection_id_by_name_and_created_by(name: str, created_by: Dict[str, Any]) -> str:
+    return f"{name}_{created_by[CreatedByFieldName.OBJECT_ID]}"
+
+
+class CollectionCosmosDB:
+    def __init__(self, span: Span, is_cloud_trace: bool, created_by: Dict[str, Any]):
+        self.span = span
+        self.created_by = created_by
+        self.location = LocationType.CLOUD if is_cloud_trace else LocationType.LOCAL
+        resource_attributes = span.resource.get(SpanResourceFieldName.ATTRIBUTES, {})
+        self.collection_name = resource_attributes.get(
+            SpanResourceAttributesFieldName.COLLECTION, TRACE_DEFAULT_COLLECTION
+        )
+        span_attributes = self.span.attributes
+        if SpanAttributeFieldName.BATCH_RUN_ID in span_attributes:
+            self.collection_id = span_attributes[SpanAttributeFieldName.BATCH_RUN_ID]
+        else:
+            self.collection_id = (
+                resource_attributes[SpanResourceAttributesFieldName.COLLECTION_ID]
+                if is_cloud_trace
+                else generate_collection_id_by_name_and_created_by(self.collection_name, created_by)
+            )
+
+    def create_collection_if_not_exist(self, client: ContainerProxy):
+        span_attributes = self.span.attributes
+        # For batch run, ignore collection operation
+        if SpanAttributeFieldName.BATCH_RUN_ID in span_attributes:
+            return
+
+        item = Collection(
+            id=self.collection_id,
+            partition_key=self.collection_id,
+            name=self.collection_name,
+            created_at=int(time.time()),
+            updated_at=int(time.time()),
+            created_by=self.created_by,
+            location=self.location,
+        )
+        safe_create_cosmosdb_item(client, item)
+        # Update name if customer change flow display name
+        patch_operations = [{"op": "replace", "path": "/name", "value": self.collection_name}]
+        return client.patch_item(
+            item=self.collection_id, partition_key=self.collection_id, patch_operations=patch_operations
+        )
+
+    def update_collection_updated_at_info(self, client: ContainerProxy):
+        span_attributes = self.span.attributes
+        # For batch run, ignore collection operation
+        if SpanAttributeFieldName.BATCH_RUN_ID in span_attributes:
+            return
+
+        patch_operations = [{"op": "replace", "path": "/updated_at", "value": int(time.time())}]
+        return client.patch_item(
+            item=self.collection_id, partition_key=self.collection_id, patch_operations=patch_operations
+        )
diff --git a/src/promptflow-azure/promptflow/azure/_storage/cosmosdb/cosmosdb_utils.py b/src/promptflow-azure/promptflow/azure/_storage/cosmosdb/cosmosdb_utils.py
new file mode 100644
index 00000000000..7084f3845fc
--- /dev/null
+++ b/src/promptflow-azure/promptflow/azure/_storage/cosmosdb/cosmosdb_utils.py
@@ -0,0 +1,17 @@
+from dataclasses import asdict
+
+from azure.cosmos import ContainerProxy
+from azure.cosmos.exceptions import CosmosResourceExistsError, CosmosResourceNotFoundError
+
+
+def safe_create_cosmosdb_item(client: ContainerProxy, dataclass_item):
+    try:
+        # Attempt to read the item using its ID and partition key
+        client.read_item(item=dataclass_item.id, partition_key=dataclass_item.partition_key)
+    except CosmosResourceNotFoundError:
+        # Only create for not exist situation.
+        try:
+            client.create_item(body=asdict(dataclass_item))
+        except CosmosResourceExistsError:
+            # Ignore conflict error.
+            return
diff --git a/src/promptflow-azure/promptflow/azure/_storage/cosmosdb/span.py b/src/promptflow-azure/promptflow/azure/_storage/cosmosdb/span.py
new file mode 100644
index 00000000000..699f854cb2b
--- /dev/null
+++ b/src/promptflow-azure/promptflow/azure/_storage/cosmosdb/span.py
@@ -0,0 +1,85 @@
+# ---------------------------------------------------------
+# Copyright (c) Microsoft Corporation. All rights reserved.
+# ---------------------------------------------------------
+
+import json
+from typing import Any, Dict
+
+from azure.cosmos.container import ContainerProxy
+from azure.storage.blob import ContainerClient
+
+from promptflow._constants import SpanContextFieldName, SpanEventFieldName, SpanFieldName
+from promptflow._sdk.entities._trace import Span as SpanEntity
+
+
+class Span:
+    name: str = None
+    context: dict = None
+    kind: str = None
+    parent_id: str = None
+    start_time: str = None
+    end_time: str = None
+    status: dict = None
+    attributes: dict = None
+    events: list = None
+    links: list = None
+    resource: dict = None
+    id: str = None
+    partition_key: str = None
+    collection_id: str = None
+    created_by: dict = None
+    external_event_data_uris: list = None
+
+    def __init__(self, span: SpanEntity, collection_id: str, created_by: dict) -> None:
+        self.name = span.name
+        self.context = span.context
+        self.kind = span.kind
+        self.parent_id = span.parent_id
+        self.start_time = span.start_time.isoformat()
+        self.end_time = span.end_time.isoformat()
+        self.status = span.status
+        self.attributes = span.attributes
+        self.events = span.events
+        self.links = span.links
+        self.resource = span.resource
+        self.partition_key = collection_id
+        self.collection_id = collection_id
+        self.id = span.span_id
+        self.created_by = created_by
+        self.external_event_data_uris = []
+
+    def persist(self, cosmos_client: ContainerProxy, blob_container_client: ContainerClient, blob_base_uri: str):
+        if self.id is None or self.partition_key is None or self.resource is None:
+            return
+
+        resource_attributes = self.resource.get(SpanFieldName.ATTRIBUTES, None)
+        if resource_attributes is None:
+            return
+
+        if self.events and blob_container_client is not None and blob_base_uri is not None:
+            self._persist_events(blob_container_client, blob_base_uri)
+
+        from azure.cosmos.exceptions import CosmosResourceExistsError
+
+        try:
+            return cosmos_client.create_item(body=self.to_dict())
+        except CosmosResourceExistsError:
+            return
+
+    def to_dict(self) -> Dict[str, Any]:
+        return {k: v for k, v in self.__dict__.items() if v}
+
+    def _persist_events(self, blob_container_client: ContainerClient, blob_base_uri: str):
+        for idx, event in enumerate(self.events):
+            event_data = json.dumps(event)
+            blob_client = blob_container_client.get_blob_client(self._event_path(idx))
+            blob_client.upload_blob(event_data)
+
+            event[SpanEventFieldName.ATTRIBUTES] = {}
+            self.external_event_data_uris.append(f"{blob_base_uri}{self._event_path(idx)}")
+
+    EVENT_PATH_PREFIX = ".promptflow/.trace"
+
+    def _event_path(self, idx: int) -> str:
+        trace_id = self.context[SpanContextFieldName.TRACE_ID]
+        return f"{self.EVENT_PATH_PREFIX}/{self.collection_id}/{trace_id}/{self.id}/{idx}"
diff --git a/src/promptflow-azure/promptflow/azure/_storage/cosmosdb/summary.py b/src/promptflow-azure/promptflow/azure/_storage/cosmosdb/summary.py
new file mode 100644
index 00000000000..259a308229e
--- /dev/null
+++ b/src/promptflow-azure/promptflow/azure/_storage/cosmosdb/summary.py
@@ -0,0 +1,254 @@
+import datetime
+import logging
+import time
+import typing
+from dataclasses import asdict, dataclass, field
+
+from azure.cosmos import ContainerProxy
+
+from promptflow._constants import (
+    OK_LINE_RUN_STATUS,
+    RUNNING_LINE_RUN_STATUS,
+    SpanAttributeFieldName,
+    SpanResourceAttributesFieldName,
+    SpanStatusFieldName,
+)
+from promptflow._sdk._constants import TRACE_DEFAULT_COLLECTION
+from promptflow._sdk._utils import json_loads_parse_const_as_str
+from promptflow._sdk.entities._trace import Span
+from promptflow.azure._storage.cosmosdb.cosmosdb_utils import safe_create_cosmosdb_item
+
+
+@dataclass
+class SummaryLine:
+    """
+    This class represents an Item in Summary container
+    """
+
+    id: str
+    partition_key: str
+    session_id: str
+    trace_id: str
+    collection_id: str
+    root_span_id: str = ""
+    inputs: typing.Dict = field(default_factory=dict)
+    outputs: typing.Dict = field(default_factory=dict)
+    start_time: str = ""
+    end_time: str = ""
+    status: str = ""
+    latency: float = 0.0
+    name: str = ""
+    kind: str = ""
+    created_by: typing.Dict = field(default_factory=dict)
+    cumulative_token_count: typing.Optional[typing.Dict[str, int]] = field(default_factory=dict)
+    evaluations: typing.Dict = field(default_factory=dict)
+    # Only for batch run
+    batch_run_id: str = None
+    line_number: str = None
+    # Only for line run
+    line_run_id: str = None
+
+
+@dataclass
+class LineEvaluation:
+    """
+    This class represents an evaluation value in Summary container item.
+
+    """
+
+    outputs: typing.Dict
+    trace_id: str
+    root_span_id: str
+    name: str
+    created_by: typing.Dict
+    collection_id: str
+    flow_id: str = None
+    # Only for batch run
+    batch_run_id: str = None
+    line_number: str = None
+    # Only for line run
+    line_run_id: str = None
+
+
+class Summary:
+    def __init__(self, span: Span, collection_id: str, created_by: typing.Dict, logger: logging.Logger) -> None:
+        self.span = span
+        self.created_by = created_by
+        self.logger = logger
+        self.session_id = self.span.resource.get(SpanResourceAttributesFieldName.COLLECTION, TRACE_DEFAULT_COLLECTION)
+        self.collection_id = collection_id
+
+    def persist(self, client: ContainerProxy):
+        if self.span.parent_id:
+            # For non root span, write a placeholder item to LineSummary table.
+            self._persist_running_item(client)
+            return
+        attributes = self.span.attributes
+
+        # Persist root span as a line run.
+        self._persist_line_run(client)
+
+        if (
+            SpanAttributeFieldName.LINE_RUN_ID not in attributes
+            and SpanAttributeFieldName.BATCH_RUN_ID not in attributes
+        ):
+            self.logger.info(
+                "No line run id or batch run id found. Could be aggregate node, eager flow or arbitrary script. "
+                "Ignore for patching evaluations."
+            )
+            return
+
+        if SpanAttributeFieldName.REFERENCED_LINE_RUN_ID in attributes or (
+            SpanAttributeFieldName.REFERENCED_BATCH_RUN_ID in attributes
+            and SpanAttributeFieldName.LINE_NUMBER in attributes
+        ):
+            self._insert_evaluation_with_retry(client)
+
+    # When there is the first span for line run, write placeholder item to LineSummary table.
+    def _persist_running_item(self, client: ContainerProxy):
+        trace_id = self.span.trace_id
+        session_id = self.session_id
+
+        item = SummaryLine(
+            id=trace_id,
+            partition_key=self.collection_id,
+            session_id=session_id,
+            trace_id=trace_id,
+            status=RUNNING_LINE_RUN_STATUS,
+            collection_id=self.collection_id,
+            created_by=self.created_by,
+            start_time=self.span.start_time.isoformat(),
+        )
+        attributes: dict = self.span.attributes
+        if SpanAttributeFieldName.LINE_RUN_ID in attributes:
+            item.line_run_id = attributes[SpanAttributeFieldName.LINE_RUN_ID]
+        elif SpanAttributeFieldName.BATCH_RUN_ID in attributes and SpanAttributeFieldName.LINE_NUMBER in attributes:
+            item.batch_run_id = attributes[SpanAttributeFieldName.BATCH_RUN_ID]
+            item.line_number = attributes[SpanAttributeFieldName.LINE_NUMBER]
+        safe_create_cosmosdb_item(client, item)
+
+    def _persist_line_run(self, client: ContainerProxy):
+        attributes: dict = self.span.attributes
+
+        session_id = self.session_id
+        start_time = self.span.start_time.isoformat()
+        end_time = self.span.end_time.isoformat()
+
+        # Span's original format don't include latency, so we need to calculate it.
+        # Convert ISO 8601 formatted strings to datetime objects
+        start_time_date = datetime.datetime.fromisoformat(start_time.replace("Z", "+00:00"))
+        end_time_date = datetime.datetime.fromisoformat(end_time.replace("Z", "+00:00"))
+        latency = (end_time_date - start_time_date).total_seconds()
+        # calculate `cumulative_token_count`
+        completion_token_count = int(attributes.get(SpanAttributeFieldName.COMPLETION_TOKEN_COUNT, 0))
+        prompt_token_count = int(attributes.get(SpanAttributeFieldName.PROMPT_TOKEN_COUNT, 0))
+        total_token_count = int(attributes.get(SpanAttributeFieldName.TOTAL_TOKEN_COUNT, 0))
+        # if there is no token usage, set `cumulative_token_count` to None
+        if total_token_count > 0:
+            cumulative_token_count = {
+                "completion": completion_token_count,
+                "prompt": prompt_token_count,
+                "total": total_token_count,
+            }
+        else:
+            cumulative_token_count = None
+        item = SummaryLine(
+            id=self.span.trace_id,  # trace id is unique for LineSummary container
+            partition_key=self.collection_id,
+            session_id=session_id,
+            trace_id=self.span.trace_id,
+            collection_id=self.collection_id,
+            root_span_id=self.span.span_id,
+            inputs=json_loads_parse_const_as_str(attributes.get(SpanAttributeFieldName.INPUTS, "{}")),
+            outputs=json_loads_parse_const_as_str(attributes.get(SpanAttributeFieldName.OUTPUT, "{}")),
+            start_time=start_time,
+            end_time=end_time,
+            status=self.span.status[SpanStatusFieldName.STATUS_CODE],
+            latency=latency,
+            name=self.span.name,
+            kind=attributes[SpanAttributeFieldName.SPAN_TYPE],
+            cumulative_token_count=cumulative_token_count,
+            created_by=self.created_by,
+        )
+        if SpanAttributeFieldName.LINE_RUN_ID in attributes:
+            item.line_run_id = attributes[SpanAttributeFieldName.LINE_RUN_ID]
+        elif SpanAttributeFieldName.BATCH_RUN_ID in attributes and SpanAttributeFieldName.LINE_NUMBER in attributes:
+            item.batch_run_id = attributes[SpanAttributeFieldName.BATCH_RUN_ID]
+            item.line_number = attributes[SpanAttributeFieldName.LINE_NUMBER]
+
+        self.logger.info(f"Persist main run for LineSummary id: {item.id}")
+        # Use upsert because we may create running item in advance.
+        return client.upsert_item(body=asdict(item))
+
+    def _insert_evaluation_with_retry(self, client: ContainerProxy):
+        for attempt in range(3):
+            try:
+                # We receive requests to persist main flow first and then evaluation,
+                # but init cosmosDB client could be time consuming, and the later request will reuse the same client,
+                # so it's possible that the main run is not persisted when we start to patch evaluation to it.
+                self._insert_evaluation(client)
+                break
+            except InsertEvaluationsRetriableException as e:
+                if attempt == 2:  # If this is the last attempt, ignore and just return
+                    self.logger.error(f"Error while inserting evaluation: {e}")
+                    return
+                time.sleep(1)
+
+    def _insert_evaluation(self, client: ContainerProxy):
+        attributes: dict = self.span.attributes
+        item = LineEvaluation(
+            trace_id=self.span.trace_id,
+            root_span_id=self.span.span_id,
+            collection_id=self.collection_id,
+            outputs=json_loads_parse_const_as_str(attributes.get(SpanAttributeFieldName.OUTPUT, "{}")),
+            name=self.span.name,
+            created_by=self.created_by,
+        )
+
+        # None is the default value for the field.
+        referenced_line_run_id = attributes.get(SpanAttributeFieldName.REFERENCED_LINE_RUN_ID, None)
+        referenced_batch_run_id = attributes.get(SpanAttributeFieldName.REFERENCED_BATCH_RUN_ID, None)
+        line_number = attributes.get(SpanAttributeFieldName.LINE_NUMBER, None)
+
+        query = (
+            "SELECT * FROM c WHERE "
+            "c.line_run_id = @line_run_id AND c.batch_run_id = @batch_run_id AND c.line_number = @line_number"
+        )
+        parameters = [
+            {"name": "@line_run_id", "value": referenced_line_run_id},
+            {"name": "@batch_run_id", "value": referenced_batch_run_id},
+            {"name": "@line_number", "value": line_number},
+        ]
+        # Don't use partition key for query, we can't know the partition key of main run in all scenarios.
+        query_results = list(client.query_items(query=query, parameters=parameters, enable_cross_partition_query=True))
+
+        if query_results:
+            current_status = query_results[0].get("status", "")
+            if current_status != OK_LINE_RUN_STATUS:
+                raise InsertEvaluationsRetriableException(
+                    f"Main run status is {current_status}, cannot patch evaluation now."
+                )
+            main_id = query_results[0]["id"]
+            main_partition_key = query_results[0]["partition_key"]
+        else:
+            raise InsertEvaluationsRetriableException(f"Cannot find main run by parameter {parameters}.")
+
+        if SpanAttributeFieldName.LINE_RUN_ID in attributes:
+            item.line_run_id = attributes[SpanAttributeFieldName.LINE_RUN_ID]
+            key = self.span.name
+        else:
+            batch_run_id = attributes[SpanAttributeFieldName.BATCH_RUN_ID]
+            item.batch_run_id = batch_run_id
+            item.line_number = line_number
+            # Use the batch run id, instead of the name, as the key in the evaluations dictionary.
+            # Customers may execute the same evaluation flow multiple times for a batch run.
+            # We should be able to save all evaluations, as customers use batch runs in a critical manner.
+            key = batch_run_id
+
+        patch_operations = [{"op": "add", "path": f"/evaluations/{key}", "value": asdict(item)}]
+        self.logger.info(f"Insert evaluation for LineSummary main_id: {main_id}")
+        return client.patch_item(item=main_id, partition_key=main_partition_key, patch_operations=patch_operations)
+
+
+class InsertEvaluationsRetriableException(Exception):
+    pass
diff --git a/src/promptflow/promptflow/azure/_utils/__init__.py b/src/promptflow-azure/promptflow/azure/_utils/__init__.py
similarity index 100%
rename from src/promptflow/promptflow/azure/_utils/__init__.py
rename to src/promptflow-azure/promptflow/azure/_utils/__init__.py
diff --git a/src/promptflow-azure/promptflow/azure/_utils/_tracing.py b/src/promptflow-azure/promptflow/azure/_utils/_tracing.py
new file mode 100644
index 00000000000..13865d697a0
--- /dev/null
+++ b/src/promptflow-azure/promptflow/azure/_utils/_tracing.py
@@ -0,0 +1,72 @@
+# ---------------------------------------------------------
+# Copyright (c) Microsoft Corporation. All rights reserved.
+# ---------------------------------------------------------
+
+import typing
+
+from azure.ai.ml import MLClient
+from azure.core.exceptions import ResourceNotFoundError
+from azure.identity import AzureCliCredential, DefaultAzureCredential
+
+from promptflow._constants import CosmosDBContainerName
+from promptflow._sdk._tracing import get_ws_tracing_base_url
+from promptflow._sdk._utils import extract_workspace_triad_from_trace_provider
+from promptflow.azure import PFClient
+from promptflow.azure._restclient.flow_service_caller import FlowRequestException
+from promptflow.exceptions import ErrorTarget, UserErrorException
+
+
+def _get_credential() -> typing.Union[AzureCliCredential, DefaultAzureCredential]:
+    try:
+        credential = AzureCliCredential()
+        credential.get_token("https://management.azure.com/.default")
+        return credential
+    except Exception:
+        return DefaultAzureCredential()
+
+
+def _create_trace_provider_value_user_error(message: str) -> UserErrorException:
+    return UserErrorException(message=message, target=ErrorTarget.CONTROL_PLANE_SDK)
+
+
+def validate_trace_provider(value: str) -> None:
+    """Validate `trace.provider` in pf config.
+
+    1. the value is a valid ARM resource ID for Azure ML workspace
+    2. the workspace exists
+    3. the workspace Cosmos DB is initialized
+    """
+    # valid Azure ML workspace ARM resource ID; otherwise, a ValueError will be raised
+    try:
+        workspace_triad = extract_workspace_triad_from_trace_provider(value)
+    except ValueError as e:
+        raise _create_trace_provider_value_user_error(str(e))
+
+    # the workspace exists
+    ml_client = MLClient(
+        credential=_get_credential(),
+        subscription_id=workspace_triad.subscription_id,
+        resource_group_name=workspace_triad.resource_group_name,
+        workspace_name=workspace_triad.workspace_name,
+    )
+    try:
+        ml_client.workspaces.get(name=workspace_triad.workspace_name)
+    except ResourceNotFoundError as e:
+        raise _create_trace_provider_value_user_error(str(e))
+
+    # the workspace Cosmos DB is initialized
+    # call PFS API to try to retrieve the token
+    # otherwise, print the trace ui and hint the user to init the Cosmos DB from Azure portal
+    pf_client = PFClient(ml_client=ml_client)
+    try:
+        pf_client._traces._get_cosmos_db_token(container_name=CosmosDBContainerName.SPAN)
+    except FlowRequestException as e:
+        ws_tracing_url = get_ws_tracing_base_url(workspace_triad)
+        msg = (
+            f"Failed attempt to retrieve the Cosmos DB token: {str(e)}, "
+            "this might because you have not initialized the Cosmos DB for the given workspace, "
+            "or it's still be initializing.\n"
+            f"Please open the following link to manually initialize it: {ws_tracing_url}; "
+            "when it's done, retry the command to set the trace provider again."
+        )
+        raise _create_trace_provider_value_user_error(msg)
diff --git a/src/promptflow/promptflow/azure/_utils/_url_utils.py b/src/promptflow-azure/promptflow/azure/_utils/_url_utils.py
similarity index 100%
rename from src/promptflow/promptflow/azure/_utils/_url_utils.py
rename to src/promptflow-azure/promptflow/azure/_utils/_url_utils.py
diff --git a/src/promptflow-azure/promptflow/azure/_utils/general.py b/src/promptflow-azure/promptflow/azure/_utils/general.py
new file mode 100644
index 00000000000..8785801dd7f
--- /dev/null
+++ b/src/promptflow-azure/promptflow/azure/_utils/general.py
@@ -0,0 +1,39 @@
+# ---------------------------------------------------------
+# Copyright (c) Microsoft Corporation. All rights reserved.
+# ---------------------------------------------------------
+
+import jwt
+
+from promptflow.core._connection_provider._utils import get_arm_token, get_token
+
+
+def is_arm_id(obj) -> bool:
+    return isinstance(obj, str) and obj.startswith("azureml://")
+
+
+# Add for backward compitability
+get_token = get_token
+get_arm_token = get_arm_token
+
+
+def get_aml_token(credential) -> str:
+    from azure.ai.ml._azure_environments import _get_aml_resource_id_from_metadata
+
+    resource = _get_aml_resource_id_from_metadata()
+    return get_token(credential, resource)
+
+
+def get_authorization(credential=None) -> str:
+    token = get_arm_token(credential=credential)
+    return "Bearer " + token
+
+
+def get_user_alias_from_credential(credential):
+    token = get_arm_token(credential=credential)
+    decode_json = jwt.decode(token, options={"verify_signature": False, "verify_aud": False})
+    try:
+        email = decode_json.get("upn", decode_json.get("email", None))
+        return email.split("@")[0]
+    except Exception:
+        # use oid when failed to get upn, e.g. service principal
+        return decode_json["oid"]
diff --git a/src/promptflow/promptflow/azure/operations/__init__.py b/src/promptflow-azure/promptflow/azure/operations/__init__.py
similarity index 100%
rename from src/promptflow/promptflow/azure/operations/__init__.py
rename to src/promptflow-azure/promptflow/azure/operations/__init__.py
diff --git a/src/promptflow-azure/promptflow/azure/operations/_arm_connection_operations.py b/src/promptflow-azure/promptflow/azure/operations/_arm_connection_operations.py
new file mode 100644
index 00000000000..14c78caf9df
--- /dev/null
+++ b/src/promptflow-azure/promptflow/azure/operations/_arm_connection_operations.py
@@ -0,0 +1,63 @@
+# ---------------------------------------------------------
+# Copyright (c) Microsoft Corporation. All rights reserved.
+# ---------------------------------------------------------
+from typing import Dict
+
+from azure.ai.ml._scope_dependent_operations import (
+    OperationConfig,
+    OperationsContainer,
+    OperationScope,
+    _ScopeDependentOperations,
+)
+
+from promptflow.azure._restclient.flow_service_caller import FlowServiceCaller
+from promptflow.core._connection_provider._workspace_connection_provider import WorkspaceConnectionProvider
+from promptflow.core._errors import OpenURLFailedUserError
+
+
+class ArmConnectionOperations(_ScopeDependentOperations):
+    """ArmConnectionOperations.
+
+    Get connections from arm api. You should not instantiate this class directly. Instead, you should
+    create an PFClient instance that instantiates it for you and
+    attaches it as an attribute.
+    """
+
+    def __init__(
+        self,
+        operation_scope: OperationScope,
+        operation_config: OperationConfig,
+        all_operations: OperationsContainer,
+        credential,
+        service_caller: FlowServiceCaller,
+        **kwargs: Dict,
+    ):
+        super(ArmConnectionOperations, self).__init__(operation_scope, operation_config)
+        self._all_operations = all_operations
+        self._service_caller = service_caller
+        self._credential = credential
+        self._provider = WorkspaceConnectionProvider(
+            self._operation_scope.subscription_id,
+            self._operation_scope.resource_group_name,
+            self._operation_scope.workspace_name,
+            self._credential,
+        )
+
+    def get(self, name, **kwargs):
+        return self._provider.get(name)
+
+    @classmethod
+    def _direct_get(cls, name, subscription_id, resource_group_name, workspace_name, credential):
+        """
+        This method is added for local pf_client with workspace provider to ensure we only require limited
+        permission(workspace/list secrets). As create azure pf_client requires workspace read permission.
+        """
+        provider = WorkspaceConnectionProvider(subscription_id, resource_group_name, workspace_name, credential)
+        return provider.get(name=name)
+
+    # Keep this as promptflow tools is using this method
+    _build_connection_dict = WorkspaceConnectionProvider._build_connection_dict
+
+
+# Keep this for backward compatibility of promptflow-tools
+OpenURLFailedUserError = OpenURLFailedUserError
diff --git a/src/promptflow/promptflow/azure/operations/_artifact_utilities.py b/src/promptflow-azure/promptflow/azure/operations/_artifact_utilities.py
similarity index 99%
rename from src/promptflow/promptflow/azure/operations/_artifact_utilities.py
rename to src/promptflow-azure/promptflow/azure/operations/_artifact_utilities.py
index dfcb7893cf9..c4c5cf23011 100644
--- a/src/promptflow/promptflow/azure/operations/_artifact_utilities.py
+++ b/src/promptflow-azure/promptflow/azure/operations/_artifact_utilities.py
@@ -43,7 +43,8 @@
 from azure.storage.blob import BlobSasPermissions, generate_blob_sas
 from azure.storage.filedatalake import FileSasPermissions, generate_file_sas
 
-from ..._utils.logger_utils import LoggerFactory
+from promptflow._utils.logger_utils import LoggerFactory
+
 from ._fileshare_storeage_helper import FlowFileStorageClient
 
 module_logger = LoggerFactory.get_logger(__name__)
diff --git a/src/promptflow/promptflow/azure/operations/_async_run_downloader.py b/src/promptflow-azure/promptflow/azure/operations/_async_run_downloader.py
similarity index 100%
rename from src/promptflow/promptflow/azure/operations/_async_run_downloader.py
rename to src/promptflow-azure/promptflow/azure/operations/_async_run_downloader.py
diff --git a/src/promptflow/promptflow/azure/operations/_connection_operations.py b/src/promptflow-azure/promptflow/azure/operations/_connection_operations.py
similarity index 100%
rename from src/promptflow/promptflow/azure/operations/_connection_operations.py
rename to src/promptflow-azure/promptflow/azure/operations/_connection_operations.py
diff --git a/src/promptflow/promptflow/azure/operations/_fileshare_storeage_helper.py b/src/promptflow-azure/promptflow/azure/operations/_fileshare_storeage_helper.py
similarity index 100%
rename from src/promptflow/promptflow/azure/operations/_fileshare_storeage_helper.py
rename to src/promptflow-azure/promptflow/azure/operations/_fileshare_storeage_helper.py
diff --git a/src/promptflow/promptflow/azure/operations/_flow_operations.py b/src/promptflow-azure/promptflow/azure/operations/_flow_operations.py
similarity index 95%
rename from src/promptflow/promptflow/azure/operations/_flow_operations.py
rename to src/promptflow-azure/promptflow/azure/operations/_flow_operations.py
index 91c2dafdb0d..486b5584043 100644
--- a/src/promptflow/promptflow/azure/operations/_flow_operations.py
+++ b/src/promptflow-azure/promptflow/azure/operations/_flow_operations.py
@@ -24,7 +24,8 @@
 from azure.ai.ml.operations._operation_orchestrator import OperationOrchestrator
 from azure.core.exceptions import HttpResponseError
 
-from promptflow._constants import FlowLanguage
+from promptflow._constants import FLEX_FLOW_PUBLIC_NAME
+from promptflow._proxy import ProxyFactory
 from promptflow._sdk._constants import (
     CLIENT_FLOW_TYPE_2_SERVICE_FLOW_TYPE,
     DAG_FILE_NAME,
@@ -35,8 +36,9 @@
 )
 from promptflow._sdk._errors import FlowOperationError
 from promptflow._sdk._telemetry import ActivityType, WorkspaceTelemetryMixin, monitor_operation
-from promptflow._sdk._utils import PromptflowIgnoreFile, generate_flow_meta
+from promptflow._sdk._utils import PromptflowIgnoreFile
 from promptflow._sdk._vendor._asset_utils import traverse_directory
+from promptflow._utils.flow_utils import resolve_flow_path
 from promptflow._utils.logger_utils import get_cli_sdk_logger
 from promptflow.azure._constants._flow import DEFAULT_STORAGE
 from promptflow.azure._entities._flow import Flow
@@ -206,6 +208,9 @@ def _update_azure_flow(self, flow: Flow, display_name, **kwargs):
     @staticmethod
     def _validate_flow_creation_parameters(source, flow_display_name=None, flow_type=None, **kwargs):
         """Validate the parameters for flow creation operation."""
+        from promptflow._sdk.entities._flow import FlexFlow
+        from promptflow.client import load_flow as load_local_flow
+
         # validate the source folder
         logger.info("Validating flow source.")
         if not Path(source, DAG_FILE_NAME).exists():
@@ -213,6 +218,13 @@ def _validate_flow_creation_parameters(source, flow_display_name=None, flow_type
                 f"Flow source must be a directory with flow definition yaml '{DAG_FILE_NAME}'. "
                 f"Got {Path(source).resolve().as_posix()!r}."
             )
+        # eager flow is not supported since eager flow don't have cloud authoring experience
+        flow_entity = load_local_flow(source)
+        if isinstance(flow_entity, FlexFlow):
+            raise UserErrorException(
+                f"Flow source {Path(source).resolve().as_posix()!r}. is {FLEX_FLOW_PUBLIC_NAME} flow. "
+                "Creating it to cloud is not supported."
+            )
 
         # validate flow source with flow schema
         logger.info("Validating flow schema.")
@@ -244,7 +256,7 @@ def _validate_flow_creation_parameters(source, flow_display_name=None, flow_type
     @staticmethod
     def _validate_flow_schema(source, display_name=None, type=None, **kwargs):
         """Validate the flow schema."""
-        from promptflow._sdk.entities._flow import ProtectedFlow
+        from promptflow._sdk.entities._flow import Flow
 
         params_override = copy.deepcopy(kwargs)
         if display_name is not None:
@@ -252,7 +264,7 @@ def _validate_flow_schema(source, display_name=None, type=None, **kwargs):
         if type is not None:
             params_override["type"] = type
 
-        flow_entity = ProtectedFlow.load(source=source, params_override=params_override)
+        flow_entity = Flow.load(source=source, params_override=params_override)
         flow_entity._validate(raise_error=True)  # raise error if validation failed
         flow_dict = flow_entity._dump_for_validation()
         return flow_dict
@@ -481,7 +493,14 @@ def _try_resolve_code_for_flow(cls, flow: Flow, ops: OperationOrchestrator, igno
                 return
             if flow._code_uploaded:
                 return
-            cls._generate_meta_for_eager_flow(code=code)
+
+            # generate .promptflow/flow.json for eager flow and .promptflow/flow.dag.yaml for non-eager flow
+            flow_directory, flow_file = resolve_flow_path(code.path)
+            ProxyFactory().get_executor_proxy_cls(flow.language).dump_metadata(
+                flow_file=flow_directory / flow_file,
+                working_dir=flow_directory,
+            )
+
             if ignore_tools_json:
                 ignore_file = code._ignore_file
                 if isinstance(ignore_file, PromptflowIgnoreFile):
@@ -597,18 +616,3 @@ def _try_resolve_code_for_flow_to_file_share(cls, flow: Flow, ops: OperationOrch
             flow._code_uploaded = True
 
     # endregion
-
-    @classmethod
-    def _generate_meta_for_eager_flow(cls, code):
-        from promptflow import load_flow as load_local_flow
-        from promptflow._sdk.entities._eager_flow import EagerFlow
-
-        flow = load_local_flow(code.path)
-        if isinstance(flow, EagerFlow) and flow.language == FlowLanguage.Python:
-            # TODO: support generate meta for CSharp flow
-            generate_flow_meta(
-                flow_directory=code.path,
-                source_path=flow.entry_file,
-                entry=flow.entry,
-                dump=True,
-            )
diff --git a/src/promptflow/promptflow/azure/operations/_run_operations.py b/src/promptflow-azure/promptflow/azure/operations/_run_operations.py
similarity index 96%
rename from src/promptflow/promptflow/azure/operations/_run_operations.py
rename to src/promptflow-azure/promptflow/azure/operations/_run_operations.py
index 987c9703195..23aab7338b8 100644
--- a/src/promptflow/promptflow/azure/operations/_run_operations.py
+++ b/src/promptflow-azure/promptflow/azure/operations/_run_operations.py
@@ -46,10 +46,11 @@
 )
 from promptflow._sdk._errors import InvalidRunStatusError, RunNotFoundError, RunOperationParameterError
 from promptflow._sdk._telemetry import ActivityType, WorkspaceTelemetryMixin, monitor_operation
-from promptflow._sdk._utils import in_jupyter_notebook, incremental_print, is_remote_uri, print_red_error
+from promptflow._sdk._utils import incremental_print, is_multi_container_enabled, is_remote_uri, print_red_error
 from promptflow._sdk.entities import Run
 from promptflow._utils.async_utils import async_run_allowing_running_loop
 from promptflow._utils.logger_utils import get_cli_sdk_logger
+from promptflow._utils.utils import in_jupyter_notebook
 from promptflow.azure._constants._flow import AUTOMATIC_RUNTIME, AUTOMATIC_RUNTIME_NAME, CLOUD_RUNS_PAGE_SIZE
 from promptflow.azure._load_functions import load_flow
 from promptflow.azure._restclient.flow_service_caller import FlowServiceCaller
@@ -102,7 +103,6 @@ def __init__(
         self._credential = credential
         self._flow_operations = flow_operations
         self._orchestrators = OperationOrchestrator(self._all_operations, self._operation_scope, self._operation_config)
-        self._workspace_default_datastore = self._datastore_operations.get_default()
 
     @property
     def _data_operations(self):
@@ -118,6 +118,18 @@ def _run_history_endpoint_url(self):
         endpoint = self._service_caller._service_endpoint
         return endpoint + "history/v1.0" + self._service_caller._common_azure_url_pattern
 
+    @cached_property
+    def _workspace_default_datastore(self):
+        kind = self._workspace._kind
+        # for a normal workspace the kind is "default", for an ai project it's "project". Except these two values, it
+        # can also be "hub" which is not a supported workspace type to get default datastore.
+        if kind not in ["default", "project"]:
+            raise RunOperationParameterError(
+                "Failed to get default workspace datastore. Please make sure you are using the right workspace which "
+                f"is either an azure machine learning studio workspace or an azure ai project. Got {kind!r} instead."
+            )
+        return self._datastore_operations.get_default()
+
     def _get_run_portal_url(self, run_id: str):
         """Get the portal url for the run."""
         portal_url, run_info = None, None
@@ -1000,13 +1012,14 @@ def _build_resume_request_rest_object(
             vm_size=resources.get("instance_type"),
             identity=identity,
             compute_name=resources.get("compute"),
+            enable_multi_container=is_multi_container_enabled(),
         )
         return rest_obj
 
     @monitor_operation(activity_name="pfazure.runs.resume", activity_type=ActivityType.PUBLICAPI)
     def _create_by_resume_from(self, resume_from: str, **kwargs):
         """Create a run by specify resume_from to an existing run."""
-        stream = kwargs.get("stream", False)
+        stream = kwargs.pop("stream", False)
         run_name = self._service_caller.resume_bulk_run(
             subscription_id=self._operation_scope.subscription_id,
             resource_group_name=self._operation_scope.resource_group_name,
@@ -1056,3 +1069,15 @@ def _resolve_identity(self, run: Run):
             run._identity[IdentityKeys.RESOURCE_ID] = resource_id
         else:
             raise UserErrorException(f"Identity type {identity_type!r} is not supported.")
+
+    def _get_telemetry_values(self, *args, **kwargs):
+        activity_name = kwargs.get("activity_name", None)
+        telemetry_values = super()._get_telemetry_values(*args, **kwargs)
+        try:
+            if activity_name == "pfazure.runs.create_or_update":
+                run: Run = kwargs.get("run", None) or args[0]
+                telemetry_values["flow_type"] = run._flow_type
+        except Exception as e:
+            logger.error(f"Failed to get telemetry values: {str(e)}")
+
+        return telemetry_values
diff --git a/src/promptflow/promptflow/azure/operations/_trace_operations.py b/src/promptflow-azure/promptflow/azure/operations/_trace_operations.py
similarity index 100%
rename from src/promptflow/promptflow/azure/operations/_trace_operations.py
rename to src/promptflow-azure/promptflow/azure/operations/_trace_operations.py
diff --git a/src/promptflow/promptflow/azure/resources/component_spec_template.yaml b/src/promptflow-azure/promptflow/azure/resources/component_spec_template.yaml
similarity index 100%
rename from src/promptflow/promptflow/azure/resources/component_spec_template.yaml
rename to src/promptflow-azure/promptflow/azure/resources/component_spec_template.yaml
diff --git a/src/promptflow-azure/pyproject.toml b/src/promptflow-azure/pyproject.toml
new file mode 100644
index 00000000000..5852b07c531
--- /dev/null
+++ b/src/promptflow-azure/pyproject.toml
@@ -0,0 +1,105 @@
+[tool.poetry]
+name = "promptflow-azure"
+version = "1.0.0.dev0"
+description = "Prompt flow azure"
+include = [
+  "promptflow/azure/resources/*"
+]
+
+license = "MIT"
+
+authors = [
+  "Microsoft Corporation <aml-pt-eng@microsoft.com>"
+]
+
+repository = "https://github.com/microsoft/promptflow"
+homepage = "https://microsoft.github.io/promptflow/"
+
+readme = ["README.md"]
+keywords = ["azure"]
+
+classifiers = [
+  "Programming Language :: Python",
+  "Programming Language :: Python :: 3",
+  "Programming Language :: Python :: 3 :: Only",
+  "Programming Language :: Python :: 3.8",
+  "Programming Language :: Python :: 3.9",
+  "Programming Language :: Python :: 3.10",
+  "Programming Language :: Python :: 3.11",
+  "License :: OSI Approved :: MIT License",
+  "Operating System :: OS Independent",
+]
+
+packages = [
+  { include = "promptflow" }
+]
+
+[tool.poetry.urls]
+"Bug Reports" = "https://github.com/microsoft/promptflow/issues"
+
+[tool.poetry.dependencies]
+python = ">=3.8,<3.9.7 || >3.9.7,<3.13"
+azure-core = ">=1.26.4,<2.0.0"
+azure-storage-blob = {extras = ["aio"], version = ">=12.17.0,<13.0.0"}  # add [aio] for async run download feature
+azure-identity = ">=1.12.0,<2.0.0"
+azure-ai-ml = ">=1.14.0,<2.0.0"
+azure-cosmos = ">=4.5.1,<5.0.0"  # used to upload trace to cloud
+pyjwt = ">=2.4.0,<3.0.0"  # requirement of control plane SDK
+promptflow-devkit = "<2.0.0"
+
+[tool.poetry.group.dev.dependencies]
+pre-commit = "*"
+import-linter = "*"
+
+[tool.poetry.group.test.dependencies]
+pytest = "*"
+pytest-cov = "*"
+pytest-xdist = "*"
+
+[build-system]
+requires = ["poetry-core>=1.5.0"]
+build-backend = "poetry.core.masonry.api"
+
+[tool.poetry.scripts]
+pfazure = "promptflow.azure._cli.entry:main"
+
+[tool.pytest.ini_options]
+markers = [
+  "unittest",
+]
+# junit - analyse and publish test results (https://github.com/EnricoMi/publish-unit-test-result-action)
+# durations - list the slowest test durations
+addopts = """
+--junit-xml=test-results.xml \
+--cov=promptflow \
+--cov-config=pyproject.toml \
+--cov-report=term \
+--cov-report=html \
+--cov-report=xml \
+--dist loadfile \
+--log-level=info \
+--log-format="%(asctime)s %(levelname)s %(message)s" \
+--log-date-format="[%Y-%m-%d %H:%M:%S]" \
+--durations=5 \
+-ra \
+-vv
+"""
+testpaths = ["tests"]
+
+[tool.coverage.run]
+omit = [
+  "__init__.py",
+]
+
+[tool.black]
+line-length = 120
+
+[tool.importlinter]
+root_package = "promptflow"
+include_external_packages = "True"
+
+[[tool.importlinter.contracts]]
+name = "Contract forbidden modules"
+type = "forbidden"
+source_modules = ["promptflow.azure"]
+forbidden_modules = []
diff --git a/src/promptflow-azure/tests/unittests/test.py b/src/promptflow-azure/tests/unittests/test.py
new file mode 100644
index 00000000000..226a2ed4261
--- /dev/null
+++ b/src/promptflow-azure/tests/unittests/test.py
@@ -0,0 +1,11 @@
+# ---------------------------------------------------------
+# Copyright (c) Microsoft Corporation. All rights reserved.
+# ---------------------------------------------------------
+
+import pytest
+
+
+@pytest.mark.unittest
+class TestStartTrace:
+    def test_import(self):
+        assert True
diff --git a/src/promptflow-core/README.md b/src/promptflow-core/README.md
new file mode 100644
index 00000000000..0e9121ac628
--- /dev/null
+++ b/src/promptflow-core/README.md
@@ -0,0 +1,20 @@
+# Prompt flow core
+
+[![Python package](https://img.shields.io/pypi/v/promptflow-core)](https://pypi.org/project/promptflow-core/)
+[![Python](https://img.shields.io/pypi/pyversions/promptflow.svg?maxAge=2592000)](https://pypi.python.org/pypi/promptflow-core/)
+[![SDK](https://img.shields.io/badge/SDK-reference-blue)](https://microsoft.github.io/promptflow/reference/python-library-reference/promptflow-core/promptflow.html)
+[![PyPI - Downloads](https://img.shields.io/pypi/dm/promptflow-core)](https://pypi.org/project/promptflow-core/)
+
+## Introduction 
+
+The `promptflow-core` package provides the essential features needed to execute a `flow` in prompt flow.
+
+For those seeking a **minimal** dependency to execute a flow in serving or cloud run scenarios, installing this package alone will suffice.
+
+However, if you require the full capabilities of the `devkit` to simplify the usage of flow, connection, and run in local development lifecycle, please install the complete package using `pip install promptflow`.
+
+# Release History
+
+## 0.1.0b1 (Upcoming)
+
+- Stub version in PyPI.
diff --git a/src/promptflow/promptflow/_constants.py b/src/promptflow-core/promptflow/_constants.py
similarity index 56%
rename from src/promptflow/promptflow/_constants.py
rename to src/promptflow-core/promptflow/_constants.py
index be31a095d7c..f81b9588943 100644
--- a/src/promptflow/promptflow/_constants.py
+++ b/src/promptflow-core/promptflow/_constants.py
@@ -1,13 +1,18 @@
 # ---------------------------------------------------------
 # Copyright (c) Microsoft Corporation. All rights reserved.
 # ---------------------------------------------------------
+from enum import Enum
 from pathlib import Path
 
 CONNECTION_NAME_PROPERTY = "__connection_name"
 CONNECTION_SECRET_KEYS = "__secret_keys"
+CONNECTION_SCRUBBED_VALUE = "******"
+CONNECTION_SCRUBBED_VALUE_NO_CHANGE = "<no-change>"
 PROMPTFLOW_CONNECTIONS = "PROMPTFLOW_CONNECTIONS"
 PROMPTFLOW_SECRETS_FILE = "PROMPTFLOW_SECRETS_FILE"
 PF_NO_INTERACTIVE_LOGIN = "PF_NO_INTERACTIVE_LOGIN"
+PF_RUN_AS_BUILT_BINARY = "PF_RUN_AS_BUILT_BINARY"
+ENABLE_MULTI_CONTAINER_KEY = "PF_ENABLE_MULTI_CONTAINER"
 PF_LOGGING_LEVEL = "PF_LOGGING_LEVEL"
 OPENAI_API_KEY = "openai-api-key"
 BING_API_KEY = "bing-api-key"
@@ -17,6 +22,11 @@
 ERROR_RESPONSE_COMPONENT_NAME = "promptflow"
 EXTENSION_UA = "prompt-flow-extension"
 LANGUAGE_KEY = "language"
+USER_AGENT_OVERRIDE_KEY = "user_agent_override"
+
+DEFAULT_FLOW_YAML_FILE_NAME = "flow.dag.yaml"
+
+CHAT_HISTORY = "chat_history"
 
 # Tool meta info
 ICON_DARK = "icon_dark"
@@ -24,15 +34,24 @@
 ICON = "icon"
 UIONLY_HIDDEN = "uionly_hidden"
 SKIP_FUNC_PARAMS = ["subscription_id", "resource_group_name", "workspace_name"]
-TOOL_SCHEMA = Path(__file__).parent / "_sdk" / "data" / "tool.schema.json"
+TOOL_SCHEMA = Path(__file__).parent / "_core" / "data" / "tool.schema.json"
 PF_MAIN_MODULE_NAME = "__pf_main__"
 
 DEFAULT_ENCODING = "utf-8"
+FLOW_META_JSON = "flow.json"
+FLOW_META_JSON_GEN_TIMEOUT = 60
+PROMPT_FLOW_DIR_NAME = ".promptflow"
+FLOW_TOOLS_JSON = "flow.tools.json"
 
 # Constants related to execution
 LINE_NUMBER_KEY = "line_number"  # Using the same key with portal.
+# Fill zero to the left of line number to make it 9 digits. This is to make sure the line number file name is sortable.
+LINE_NUMBER_WIDTH = 9
 LINE_TIMEOUT_SEC = 600
 
+# Environment variables
+PF_LONG_RUNNING_LOGGING_INTERVAL = "PF_LONG_RUNNING_LOGGING_INTERVAL"
+
 
 class FlowLanguage:
     """The enum of tool source type."""
@@ -41,6 +60,20 @@ class FlowLanguage:
     CSharp = "csharp"
 
 
+class FlowEntryRegex:
+    """The regex pattern for flow entry function."""
+
+    Python = r"^[a-zA-Z0-9_.]+:[a-zA-Z0-9_]+$"
+    CSharp = r"\((.+)\)[a-zA-Z0-9]+(\.[a-zA-Z0-9]+)+"
+
+
+class FlowType:
+    """The enum of flow type."""
+
+    DAG_FLOW = "dag"
+    FLEX_FLOW = "flex"
+
+
 class AvailableIDE:
     VS = "vs"
     VS_CODE = "vsc"
@@ -64,11 +97,16 @@ class AvailableIDE:
 # trace related
 OTEL_RESOURCE_SERVICE_NAME = "promptflow"
 DEFAULT_SPAN_TYPE = "default"
+RUNNING_LINE_RUN_STATUS = "Running"
+OK_LINE_RUN_STATUS = "Ok"
+SPAN_EVENTS_ATTRIBUTES_EVENT_ID = "event.id"
 
 
 class TraceEnvironmentVariableName:
     EXPERIMENT = "PF_TRACE_EXPERIMENT"
-    SESSION_ID = "PF_TRACE_SESSION_ID"
+    COLLECTION = "PF_TRACE_COLLECTION"
+    SESSION_ID = "PF_TRACE_SESSION_ID"  # will be deprecated
+    COLLECTION_ID = "PF_TRACE_COLLECTION_ID"
     SUBSCRIPTION_ID = "PF_TRACE_SUBSCRIPTION_ID"
     RESOURCE_GROUP_NAME = "PF_TRACE_RESOURCE_GROUP_NAME"
     WORKSPACE_NAME = "PF_TRACE_WORKSPACE_NAME"
@@ -77,6 +115,7 @@ class TraceEnvironmentVariableName:
 class CosmosDBContainerName:
     SPAN = "Span"
     LINE_SUMMARY = "LineSummary"
+    COLLECTION = "Collection"
 
 
 class SpanFieldName:
@@ -91,6 +130,7 @@ class SpanFieldName:
     EVENTS = "events"
     LINKS = "links"
     RESOURCE = "resource"
+    EXTERNAL_EVENT_DATA_URIS = "external_event_data_uris"
 
 
 class SpanContextFieldName:
@@ -111,9 +151,9 @@ class SpanAttributeFieldName:
     INPUTS = "inputs"
     OUTPUT = "output"
     # token metrics
-    COMPLETION_TOKEN_COUNT = "llm.token_count.completion"
-    PROMPT_TOKEN_COUNT = "llm.token_count.prompt"
-    TOTAL_TOKEN_COUNT = "llm.token_count.total"
+    COMPLETION_TOKEN_COUNT = "llm.usage.completion_tokens"
+    PROMPT_TOKEN_COUNT = "llm.usage.prompt_tokens"
+    TOTAL_TOKEN_COUNT = "llm.usage.total_tokens"
     CUMULATIVE_COMPLETION_TOKEN_COUNT = "__computed__.cumulative_token_count.completion"
     CUMULATIVE_PROMPT_TOKEN_COUNT = "__computed__.cumulative_token_count.prompt"
     CUMULATIVE_TOTAL_TOKEN_COUNT = "__computed__.cumulative_token_count.total"
@@ -127,10 +167,14 @@ class SpanAttributeFieldName:
     PROMPT_TOKEN_COUNT = "__computed__.cumulative_token_count.prompt"
     TOTAL_TOKEN_COUNT = "__computed__.cumulative_token_count.total"
 
+    SESSION_ID = "session_id"
+
 
 class SpanResourceAttributesFieldName:
     SERVICE_NAME = "service.name"
     SESSION_ID = "session.id"
+    COLLECTION = "collection"  # local
+    COLLECTION_ID = "collection.id"  # cloud & local to cloud
     EXPERIMENT_NAME = "experiment.name"
     # local to cloud
     SUBSCRIPTION_ID = "subscription.id"
@@ -160,7 +204,64 @@ class SpanLinkFieldName:
 
 class MessageFormatType:
     BASIC = "basic"
-    OPENAI_VISION = "openai_vision"
+    OPENAI_VISION = "openai-vision"
 
 
 DEFAULT_OUTPUT_NAME = "output"
+OUTPUT_FILE_NAME = "output.jsonl"
+
+
+class OutputsFolderName:
+    FLOW_OUTPUTS = "flow_outputs"
+    FLOW_ARTIFACTS = "flow_artifacts"
+    NODE_ARTIFACTS = "node_artifacts"
+
+
+class ConnectionType(str, Enum):
+    _NOT_SET = "NotSet"
+    AZURE_OPEN_AI = "AzureOpenAI"
+    OPEN_AI = "OpenAI"
+    QDRANT = "Qdrant"
+    COGNITIVE_SEARCH = "CognitiveSearch"
+    SERP = "Serp"
+    AZURE_CONTENT_SAFETY = "AzureContentSafety"
+    FORM_RECOGNIZER = "FormRecognizer"
+    WEAVIATE = "Weaviate"
+    SERVERLESS = "Serverless"
+    CUSTOM = "Custom"
+
+
+class ConnectionAuthMode:
+    KEY = "key"
+    MEID_TOKEN = "meid_token"  # Microsoft Entra ID
+
+
+class CustomStrongTypeConnectionConfigs:
+    PREFIX = "promptflow.connection."
+    TYPE = "custom_type"
+    MODULE = "module"
+    PACKAGE = "package"
+    PACKAGE_VERSION = "package_version"
+    PROMPTFLOW_TYPE_KEY = PREFIX + TYPE
+    PROMPTFLOW_MODULE_KEY = PREFIX + MODULE
+    PROMPTFLOW_PACKAGE_KEY = PREFIX + PACKAGE
+    PROMPTFLOW_PACKAGE_VERSION_KEY = PREFIX + PACKAGE_VERSION
+
+    @staticmethod
+    def is_custom_key(key):
+        return key not in [
+            CustomStrongTypeConnectionConfigs.PROMPTFLOW_TYPE_KEY,
+            CustomStrongTypeConnectionConfigs.PROMPTFLOW_MODULE_KEY,
+            CustomStrongTypeConnectionConfigs.PROMPTFLOW_PACKAGE_KEY,
+            CustomStrongTypeConnectionConfigs.PROMPTFLOW_PACKAGE_VERSION_KEY,
+        ]
+
+
+class ConnectionProviderConfig:
+    LOCAL = "local"
+    AZUREML = "azureml"
+
+
+CONNECTION_DATA_CLASS_KEY = "DATA_CLASS"
+
+FLEX_FLOW_PUBLIC_NAME = "flex"
diff --git a/src/promptflow/promptflow/azure/_storage/cosmosdb/__init__.py b/src/promptflow-core/promptflow/_core/__init__.py
similarity index 100%
rename from src/promptflow/promptflow/azure/_storage/cosmosdb/__init__.py
rename to src/promptflow-core/promptflow/_core/__init__.py
diff --git a/src/promptflow/promptflow/_core/_errors.py b/src/promptflow-core/promptflow/_core/_errors.py
similarity index 100%
rename from src/promptflow/promptflow/_core/_errors.py
rename to src/promptflow-core/promptflow/_core/_errors.py
diff --git a/src/promptflow/promptflow/_core/cache_manager.py b/src/promptflow-core/promptflow/_core/cache_manager.py
similarity index 100%
rename from src/promptflow/promptflow/_core/cache_manager.py
rename to src/promptflow-core/promptflow/_core/cache_manager.py
diff --git a/src/promptflow/promptflow/_core/connection_manager.py b/src/promptflow-core/promptflow/_core/connection_manager.py
similarity index 97%
rename from src/promptflow/promptflow/_core/connection_manager.py
rename to src/promptflow-core/promptflow/_core/connection_manager.py
index e1bc4b4b1b4..f94daf0df77 100644
--- a/src/promptflow/promptflow/_core/connection_manager.py
+++ b/src/promptflow-core/promptflow/_core/connection_manager.py
@@ -9,8 +9,12 @@
 from pathlib import Path
 from typing import Any, Dict, List
 
-from promptflow._constants import CONNECTION_NAME_PROPERTY, CONNECTION_SECRET_KEYS, PROMPTFLOW_CONNECTIONS
-from promptflow._sdk._constants import CustomStrongTypeConnectionConfigs
+from promptflow._constants import (
+    CONNECTION_NAME_PROPERTY,
+    CONNECTION_SECRET_KEYS,
+    PROMPTFLOW_CONNECTIONS,
+    CustomStrongTypeConnectionConfigs,
+)
 from promptflow._utils.utils import try_import
 from promptflow.contracts.tool import ConnectionType
 from promptflow.contracts.types import Secret
diff --git a/src/promptflow/promptflow/_sdk/data/tool.schema.json b/src/promptflow-core/promptflow/_core/data/tool.schema.json
similarity index 100%
rename from src/promptflow/promptflow/_sdk/data/tool.schema.json
rename to src/promptflow-core/promptflow/_core/data/tool.schema.json
diff --git a/src/promptflow/promptflow/_core/flow_execution_context.py b/src/promptflow-core/promptflow/_core/flow_execution_context.py
similarity index 92%
rename from src/promptflow/promptflow/_core/flow_execution_context.py
rename to src/promptflow-core/promptflow/_core/flow_execution_context.py
index 55d2e4d3755..4d93f6cff09 100644
--- a/src/promptflow/promptflow/_core/flow_execution_context.py
+++ b/src/promptflow-core/promptflow/_core/flow_execution_context.py
@@ -13,18 +13,21 @@
 from logging import WARNING
 from typing import Callable
 
+from promptflow._constants import MessageFormatType
 from promptflow._core._errors import ToolExecutionError, UnexpectedError
 from promptflow._core.cache_manager import AbstractCacheManager, CacheInfo, CacheResult
 from promptflow._utils.logger_utils import flow_logger, logger
 from promptflow._utils.thread_utils import RepeatLogTimer
-from promptflow._utils.utils import generate_elapsed_time_messages
+from promptflow._utils.utils import generate_elapsed_time_messages, try_get_long_running_logging_interval
 from promptflow.contracts.flow import Node
 from promptflow.contracts.run_info import RunInfo
 from promptflow.exceptions import PromptflowException
+from promptflow.tracing._thread_local_singleton import ThreadLocalSingleton
 from promptflow.tracing._tracer import Tracer
 
 from .run_tracker import RunTracker
-from .thread_local_singleton import ThreadLocalSingleton
+
+DEFAULT_LOGGING_INTERVAL = 60
 
 
 class FlowExecutionContext(ThreadLocalSingleton):
@@ -41,7 +44,7 @@ def __init__(
         run_id=None,
         flow_id=None,
         line_number=None,
-        variant_id=None,
+        message_format=MessageFormatType.BASIC,
     ):
         self._name = name
         self._run_tracker = run_tracker
@@ -49,7 +52,7 @@ def __init__(
         self._run_id = run_id or str(uuid.uuid4())
         self._flow_id = flow_id or self._run_id
         self._line_number = line_number
-        self._variant_id = variant_id
+        self._message_format = message_format
 
     def copy(self):
         return FlowExecutionContext(
@@ -59,11 +62,10 @@ def copy(self):
             run_id=self._run_id,
             flow_id=self._flow_id,
             line_number=self._line_number,
-            variant_id=self._variant_id,
         )
 
     def cancel_node_runs(self, msg):
-        self._run_tracker.cancel_node_runs(msg, self._run_id)
+        self._run_tracker.cancel_node_runs(self._run_id, msg)
 
     def invoke_tool(self, node: Node, f: Callable, kwargs):
         run_info = self._prepare_node_run(node, f, kwargs)
@@ -85,7 +87,7 @@ def invoke_tool(self, node: Node, f: Callable, kwargs):
 
             if not hit_cache:
                 Tracer.start_tracing(node_run_id, node.name)
-                result = self._invoke_tool_with_timer(node, f, kwargs)
+                result = self._invoke_tool_inner(node, f, kwargs)
                 traces = Tracer.end_tracing(node_run_id)
 
             self._run_tracker.end_run(node_run_id, result=result, traces=traces)
@@ -114,9 +116,9 @@ def _prepare_node_run(self, node: Node, f, kwargs={}):
             parent_run_id=parent_run_id,
             run_id=node_run_id,
             index=self._line_number,
+            message_format=self._message_format,
         )
         run_info.index = self._line_number
-        run_info.variant_id = self._variant_id
         self._run_tracker.set_inputs(node_run_id, {key: value for key, value in kwargs.items() if key != "self"})
         return run_info
 
@@ -170,14 +172,17 @@ async def _invoke_tool_async_inner(self, node: Node, f: Callable, kwargs):
             # and shows stack trace in the error message to make it easy for user to troubleshoot.
             raise ToolExecutionError(node_name=node.name, module=module) from e
 
-    def _invoke_tool_with_timer(self, node: Node, f: Callable, kwargs):
+    def _invoke_tool_inner(self, node: Node, f: Callable, kwargs):
         module = f.func.__module__ if isinstance(f, functools.partial) else f.__module__
         node_name = node.name
         try:
+            if (
+                interval_seconds := try_get_long_running_logging_interval(flow_logger, DEFAULT_LOGGING_INTERVAL)
+            ) is None:
+                return f(**kwargs)
             logging_name = node_name
             if self._line_number is not None:
                 logging_name = f"{node_name} in line {self._line_number}"
-            interval_seconds = 60
             start_time = time.perf_counter()
             thread_id = threading.current_thread().ident
             with RepeatLogTimer(
@@ -211,7 +216,7 @@ def bypass_node(self, node: Node):
             parent_run_id=parent_run_id,
             run_id=node_run_id,
             index=self._line_number,
-            variant_id=self._variant_id,
+            message_format=self._message_format,
         )
         self._run_tracker.persist_node_run(run_info)
 
diff --git a/src/promptflow/promptflow/_core/log_manager.py b/src/promptflow-core/promptflow/_core/log_manager.py
similarity index 92%
rename from src/promptflow/promptflow/_core/log_manager.py
rename to src/promptflow-core/promptflow/_core/log_manager.py
index ca3b6fc019a..229b74c14a3 100644
--- a/src/promptflow/promptflow/_core/log_manager.py
+++ b/src/promptflow-core/promptflow/_core/log_manager.py
@@ -119,6 +119,12 @@ def write(self, s: str):
         else:
             self._write_to_flow_log(log_info, s)
             stdout: StringIO = self.run_id_to_stdout.get(log_info.run_id)
+            # When the line execution timeout is reached, all running nodes will be cancelled and node info will
+            # be cleared. This will remove StringIO from self.run_id_to_stdout. For sync tools running in a worker
+            # thread, they can't be stopped and self._context won't change in the worker
+            # thread because it's a thread-local variable. Therefore, we need to check if StringIO is None here.
+            if stdout is None:
+                return
             if self._record_datetime and s != "\n":  # For line breaker, do not add datetime prefix.
                 s = f"[{datetime.now(timezone.utc).strftime(self.DATETIME_FORMAT)}] {s}"
             stdout.write(s)
diff --git a/src/promptflow/promptflow/_core/metric_logger.py b/src/promptflow-core/promptflow/_core/metric_logger.py
similarity index 100%
rename from src/promptflow/promptflow/_core/metric_logger.py
rename to src/promptflow-core/promptflow/_core/metric_logger.py
diff --git a/src/promptflow-core/promptflow/_core/operation_context.py b/src/promptflow-core/promptflow/_core/operation_context.py
new file mode 100644
index 00000000000..1dd5812a377
--- /dev/null
+++ b/src/promptflow-core/promptflow/_core/operation_context.py
@@ -0,0 +1,3 @@
+# flake8: noqa
+# for backward compatibility of PRS
+from promptflow.tracing._operation_context import OperationContext
diff --git a/src/promptflow/promptflow/_core/run_tracker.py b/src/promptflow-core/promptflow/_core/run_tracker.py
similarity index 94%
rename from src/promptflow/promptflow/_core/run_tracker.py
rename to src/promptflow-core/promptflow/_core/run_tracker.py
index 6a6cfcac5fa..c10a20dd2cb 100644
--- a/src/promptflow/promptflow/_core/run_tracker.py
+++ b/src/promptflow-core/promptflow/_core/run_tracker.py
@@ -9,13 +9,11 @@
 from types import GeneratorType
 from typing import Any, Dict, List, Mapping, Optional, Union
 
+from promptflow._constants import MessageFormatType
 from promptflow._core._errors import FlowOutputUnserializable, RunRecordNotFound, ToolCanceledError
 from promptflow._core.log_manager import NodeLogManager
-from promptflow._core.thread_local_singleton import ThreadLocalSingleton
-from promptflow._utils.dataclass_serializer import serialize
 from promptflow._utils.exception_utils import ExceptionPresenter
 from promptflow._utils.logger_utils import flow_logger
-from promptflow._utils.openai_metrics_calculator import OpenAIMetricsCalculator
 from promptflow._utils.run_tracker_utils import _deep_copy_and_extract_items_from_generator_proxy
 from promptflow._utils.utils import default_json_encoder
 from promptflow.contracts.run_info import FlowRunInfo, RunInfo, Status
@@ -24,6 +22,10 @@
 from promptflow.exceptions import ErrorTarget
 from promptflow.storage import AbstractRunStorage
 from promptflow.storage._run_storage import DummyRunStorage
+from promptflow.tracing._openai_utils import OpenAIMetricsCalculator
+from promptflow.tracing._operation_context import OperationContext
+from promptflow.tracing._thread_local_singleton import ThreadLocalSingleton
+from promptflow.tracing._utils import serialize
 
 
 class RunTracker(ThreadLocalSingleton):
@@ -81,7 +83,7 @@ def start_flow_run(
         parent_run_id="",
         inputs=None,
         index=None,
-        variant_id="",
+        message_format=MessageFormatType.BASIC,
     ) -> FlowRunInfo:
         """Create a flow run and save to run storage on demand."""
         run_info = FlowRunInfo(
@@ -99,7 +101,7 @@ def start_flow_run(
             start_time=datetime.utcnow(),
             end_time=None,
             index=index,
-            variant_id=variant_id,
+            message_format=message_format,
         )
         self.persist_flow_run(run_info)
         self._flow_runs[run_id] = run_info
@@ -113,6 +115,7 @@ def start_node_run(
         parent_run_id,
         run_id,
         index,
+        message_format=MessageFormatType.BASIC,
     ):
         run_info = RunInfo(
             node=node,
@@ -126,6 +129,7 @@ def start_node_run(
             parent_run_id=parent_run_id,
             start_time=datetime.utcnow(),
             end_time=None,
+            message_format=message_format,
         )
         self._node_runs[run_id] = run_info
         self._current_run_id = run_id
@@ -140,7 +144,7 @@ def bypass_node_run(
         parent_run_id,
         run_id,
         index,
-        variant_id,
+        message_format=MessageFormatType.BASIC,
     ):
         run_info = RunInfo(
             node=node,
@@ -156,13 +160,15 @@ def bypass_node_run(
             end_time=datetime.utcnow(),
             result=None,
             index=index,
-            variant_id=variant_id,
             api_calls=[],
+            message_format=message_format,
         )
         self._node_runs[run_id] = run_info
         return run_info
 
     def _flow_run_postprocess(self, run_info: FlowRunInfo, output, ex: Optional[Exception]):
+        #  Try get otel trace id for correlation.
+        run_info.otel_trace_id = OperationContext.get_instance().get("otel_trace_id")
         if output:
             try:
                 self._assert_flow_output_serializable(output)
@@ -242,14 +248,14 @@ def _common_postprocess(self, run_info, output, ex):
             run_info.system_metrics = run_info.system_metrics or {}
             run_info.system_metrics["duration"] = duration
 
-    def cancel_node_runs(self, msg: str, flow_run_id):
+    def cancel_node_runs(self, flow_run_id: Optional[str] = None, msg: str = "Received cancel request."):
         node_runs = self.collect_node_runs(flow_run_id)
         for node_run_info in node_runs:
             if node_run_info.status != Status.Running:
                 continue
             msg = msg.rstrip(".")  # Avoid duplicated "." in the end of the message.
             err = ToolCanceledError(
-                message_format="Tool execution is canceled because of the error: {msg}.",
+                message_format="Tool execution is canceled because: {msg}.",
                 msg=msg,
                 target=ErrorTarget.EXECUTOR,
             )
@@ -341,10 +347,15 @@ def _enrich_run_info_with_exception(self, run_info: Union[RunInfo, FlowRunInfo],
         """Update exception details into run info."""
         # Update status to Cancelled the run terminates because of KeyboardInterruption or CancelledError.
         if isinstance(ex, KeyboardInterrupt) or isinstance(ex, asyncio.CancelledError):
+            ex = ToolCanceledError(
+                message_format="Tool execution is canceled because: {msg}.",
+                msg="Received cancel request.",
+                target=ErrorTarget.EXECUTOR,
+            )
             run_info.status = Status.Canceled
         else:
-            run_info.error = ExceptionPresenter.create(ex).to_dict(include_debug_info=self._debug)
             run_info.status = Status.Failed
+        run_info.error = ExceptionPresenter.create(ex).to_dict(include_debug_info=self._debug)
 
     def collect_all_run_infos_as_dicts(self) -> Mapping[str, List[Mapping[str, Any]]]:
         flow_runs = self.flow_run_list
diff --git a/src/promptflow/promptflow/_core/token_provider.py b/src/promptflow-core/promptflow/_core/token_provider.py
similarity index 100%
rename from src/promptflow/promptflow/_core/token_provider.py
rename to src/promptflow-core/promptflow/_core/token_provider.py
diff --git a/src/promptflow/promptflow/_core/tool.py b/src/promptflow-core/promptflow/_core/tool.py
similarity index 99%
rename from src/promptflow/promptflow/_core/tool.py
rename to src/promptflow-core/promptflow/_core/tool.py
index 6ed35dd3b8f..ae326524b5a 100644
--- a/src/promptflow/promptflow/_core/tool.py
+++ b/src/promptflow-core/promptflow/_core/tool.py
@@ -76,7 +76,7 @@ def tool_decorator(func: Callable) -> Callable:
             raise UserErrorException(f"Tool type {type} is not supported yet.")
 
         # Calls to tool functions should be traced automatically.
-        new_f = _traced(func, trace_type=TraceType.TOOL)
+        new_f = _traced(func, trace_type=TraceType.FUNCTION)
 
         new_f.__tool = None  # This will be set when generating the tool definition.
         new_f.__name = name
diff --git a/src/promptflow/promptflow/_core/tool_meta_generator.py b/src/promptflow-core/promptflow/_core/tool_meta_generator.py
similarity index 97%
rename from src/promptflow/promptflow/_core/tool_meta_generator.py
rename to src/promptflow-core/promptflow/_core/tool_meta_generator.py
index 138c11ed465..df14b42b1c4 100644
--- a/src/promptflow/promptflow/_core/tool_meta_generator.py
+++ b/src/promptflow-core/promptflow/_core/tool_meta_generator.py
@@ -118,6 +118,9 @@ def collect_flow_entry_in_module(m, entry):
     func = getattr(m, func_name, None)
     if isinstance(func, types.FunctionType):
         return func
+    elif inspect.isclass(func) and hasattr(func, "__call__"):
+        # check if the entry is a callable class
+        return func.__call__
     raise PythonLoadError(
         message_format="Failed to collect flow entry '{entry}' in module '{module}'.",
         entry=entry,
@@ -492,7 +495,12 @@ def generate_tool_meta_in_subprocess(
     return tool_dict, exception_dict
 
 
-def generate_flow_meta_dict_by_file(entry: str, source: str = None, path: str = None):
+def generate_flow_meta_dict_by_file(data: dict, source: str = None, path: str = None):
+    """Generate flow meta for eager flow data.
+    Original flow configuration like environment variables will be generated in meta.
+    """
+
+    entry = data.get("entry")
     if path:
         m = load_python_module_from_file(Path(path))
     else:
@@ -503,7 +511,8 @@ def generate_flow_meta_dict_by_file(entry: str, source: str = None, path: str =
     # _parse_tool_from_function to parse the interface of the entry function to get the inputs and outputs.
     tool = _parse_tool_from_function(f, include_outputs=True)
 
-    flow_meta = {"entry": entry, "function": f.__name__}
+    # Include data in generated meta to avoid flow definition's fields(e.g. environment variable) missing.
+    flow_meta = {"function": f.__name__, **data}
     if source:
         flow_meta["source"] = source
     if tool.inputs:
@@ -511,6 +520,8 @@ def generate_flow_meta_dict_by_file(entry: str, source: str = None, path: str =
         for k, v in tool.inputs.items():
             # We didn't support specifying multiple types for inputs, so we only take the first one.
             flow_meta["inputs"][k] = {"type": v.type[0].value}
+            if v.default is not None:
+                flow_meta["inputs"][k]["default"] = v.default
     if tool.outputs:
         flow_meta["outputs"] = {}
         for k, v in tool.outputs.items():
diff --git a/src/promptflow/promptflow/_core/tool_settings_parser.py b/src/promptflow-core/promptflow/_core/tool_settings_parser.py
similarity index 94%
rename from src/promptflow/promptflow/_core/tool_settings_parser.py
rename to src/promptflow-core/promptflow/_core/tool_settings_parser.py
index b658342597c..ceff40e4182 100644
--- a/src/promptflow/promptflow/_core/tool_settings_parser.py
+++ b/src/promptflow-core/promptflow/_core/tool_settings_parser.py
@@ -5,7 +5,6 @@
 from pathlib import Path
 
 from promptflow._constants import ICON, ICON_DARK, ICON_LIGHT
-from promptflow._utils.multimedia_utils import convert_multimedia_data_to_base64
 from promptflow._utils.tool_utils import asdict_without_none
 from promptflow.contracts.multimedia import Image
 from promptflow.exceptions import UserErrorException
@@ -75,5 +74,5 @@ def _serialize_image_data(image_path):
     buffered = io.BytesIO()
     img.save(buffered, format="PNG")
     icon_image = Image(buffered.getvalue(), mime_type="image/png")
-    image_url = convert_multimedia_data_to_base64(icon_image, with_type=True)
+    image_url = icon_image.to_base64(with_type=True)
     return image_url
diff --git a/src/promptflow/promptflow/_core/tool_validation.py b/src/promptflow-core/promptflow/_core/tool_validation.py
similarity index 100%
rename from src/promptflow/promptflow/_core/tool_validation.py
rename to src/promptflow-core/promptflow/_core/tool_validation.py
diff --git a/src/promptflow/promptflow/_core/tools_manager.py b/src/promptflow-core/promptflow/_core/tools_manager.py
similarity index 93%
rename from src/promptflow/promptflow/_core/tools_manager.py
rename to src/promptflow-core/promptflow/_core/tools_manager.py
index 3b2272d3985..f790258f0c6 100644
--- a/src/promptflow/promptflow/_core/tools_manager.py
+++ b/src/promptflow-core/promptflow/_core/tools_manager.py
@@ -10,7 +10,7 @@
 import types
 from functools import partial
 from pathlib import Path
-from typing import Callable, Dict, List, Mapping, Optional, Tuple, Union
+from typing import Callable, Dict, List, Mapping, Optional, Tuple, Union, get_origin, get_args
 
 from promptflow._core._errors import (
     InputTypeMismatch,
@@ -34,12 +34,12 @@
     RetrieveToolFuncResultError,
     _find_deprecated_tools,
     append_workspace_triple_to_func_input_params,
+    assign_tool_input_index_for_ux_order_if_needed,
     function_to_tool_definition,
     get_prompt_param_name_from_func,
     load_function_from_function_path,
     validate_dynamic_list_func_response_type,
     validate_tool_func_result,
-    assign_tool_input_index_for_ux_order_if_needed,
 )
 from promptflow._utils.yaml_utils import load_yaml
 from promptflow.contracts.flow import InputAssignment, InputValueType, Node, ToolSourceType
@@ -409,38 +409,42 @@ def load_tool_for_node(self, node: Node) -> Tool:
         else:
             raise NotImplementedError(f"Tool type {node.type} is not supported yet.")
 
-    def load_tool_for_package_node(self, node: Node) -> Tool:
-        if node.source.tool in self._package_tools:
-            return Tool.deserialize(self._package_tools[node.source.tool])
+    def load_package_tool(self, tool: str) -> Tool:
+        if tool in self._package_tools:
+            return Tool.deserialize(self._package_tools[tool])
 
         # If node source tool is not in package tools, try to find the tool ID in deprecated tools.
         # If found, load the tool with the new tool ID for backward compatibility.
-        if node.source.tool in self._deprecated_tools:
-            new_tool_id = self._deprecated_tools[node.source.tool]
+        if tool in self._deprecated_tools:
+            new_tool_id = self._deprecated_tools[tool]
             # Used to collect deprecated tool usage and warn user to replace the deprecated tool with the new one.
-            module_logger.warning(f"Tool ID '{node.source.tool}' is deprecated. Please use '{new_tool_id}' instead.")
+            module_logger.warning(f"Tool ID '{tool}' is deprecated. Please use '{new_tool_id}' instead.")
             return Tool.deserialize(self._package_tools[new_tool_id])
 
         raise PackageToolNotFoundError(
-            f"Package tool '{node.source.tool}' is not found in the current environment. "
+            f"Package tool '{tool}' is not found in the current environment. "
             f"All available package tools are: {list(self._package_tools.keys())}.",
             target=ErrorTarget.EXECUTOR,
         )
 
-    def load_tool_for_script_node(self, node: Node) -> Tuple[types.ModuleType, Tool]:
-        if node.source.path is None:
+    def load_tool_for_package_node(self, node: Node) -> Tool:
+        tool = node.source.tool
+        return self.load_package_tool(tool)
+
+    def load_script_tool(self, path: str, node_name: str) -> Tuple[types.ModuleType, Tool]:
+        if path is None:
             raise InvalidSource(
                 target=ErrorTarget.EXECUTOR,
                 message_format="Load tool failed for node '{node_name}'. The source path is 'None'.",
-                node_name=node.name,
+                node_name=node_name,
             )
-        path = node.source.path
         if not (self._working_dir / path).is_file():
             raise InvalidSource(
                 target=ErrorTarget.EXECUTOR,
-                message_format="Load tool failed for node '{node_name}'. Tool file '{source_path}' can not be found.",
+                message_format="Load tool failed for node '{node_name}'. "
+                "Tool file '{source_path}' can not be found.",
                 source_path=path,
-                node_name=node.name,
+                node_name=node_name,
             )
         m = load_python_module_from_file(self._working_dir / path)
         if m is None:
@@ -448,6 +452,11 @@ def load_tool_for_script_node(self, node: Node) -> Tuple[types.ModuleType, Tool]
         f, init_inputs = collect_tool_function_in_module(m)
         return m, _parse_tool_from_function(f, init_inputs, gen_custom_type_conn=True)
 
+    def load_tool_for_script_node(self, node: Node) -> Tuple[types.ModuleType, Tool]:
+        """Load tool for script node."""
+        path = node.source.path
+        return self.load_script_tool(path, node.name)
+
     def load_tool_for_llm_node(self, node: Node) -> Tool:
         api_name = f"{node.provider}.{node.api}"
         return BuiltinsManager._load_llm_api(api_name)
@@ -459,6 +468,18 @@ def load_tool_for_llm_node(self, node: Node) -> Tool:
 connection_type_to_api_mapping = {}
 
 
+def get_all_supported_types(param_annotation) -> list:
+    types = []
+    origin = get_origin(param_annotation)
+    if origin != Union:
+        types.append(param_annotation.__name__)
+    else:
+        for arg in get_args(param_annotation):
+            types.append(arg.__name__)
+
+    return types
+
+
 def _register(provider_cls, collection, type):
     from promptflow._core.tool import ToolProvider
 
@@ -474,14 +495,18 @@ def _register(provider_cls, collection, type):
             module_logger.debug(f"Registered {name} as a builtin function")
     # Get the connection type - provider name mapping for execution use
     # Tools/Providers related connection must have been imported
+    api_name = provider_cls.__name__
+    should_break = False
     for param in initialize_inputs.values():
         if not param.annotation:
             continue
-        annotation_type_name = param.annotation.__name__
-        if annotation_type_name in connections:
-            api_name = provider_cls.__name__
-            module_logger.debug(f"Add connection type {annotation_type_name} to api {api_name} mapping")
-            connection_type_to_api_mapping[annotation_type_name] = api_name
+        types = get_all_supported_types(param.annotation)
+        for type in types:
+            if type in connections:
+                module_logger.debug(f"Add connection type {type} to api {api_name} mapping")
+                connection_type_to_api_mapping[type] = api_name
+                should_break = True
+        if should_break:
             break
 
 
diff --git a/src/promptflow/promptflow/contracts/__init__.py b/src/promptflow-core/promptflow/_utils/__init__.py
similarity index 100%
rename from src/promptflow/promptflow/contracts/__init__.py
rename to src/promptflow-core/promptflow/_utils/__init__.py
diff --git a/src/promptflow-core/promptflow/_utils/_errors.py b/src/promptflow-core/promptflow/_utils/_errors.py
new file mode 100644
index 00000000000..65c9b7352ce
--- /dev/null
+++ b/src/promptflow-core/promptflow/_utils/_errors.py
@@ -0,0 +1,26 @@
+from promptflow.exceptions import ErrorTarget, SystemErrorException, UserErrorException, ValidationException
+
+
+class InvalidImageInput(ValidationException):
+    pass
+
+
+class LoadMultimediaDataError(UserErrorException):
+    pass
+
+
+class YamlParseError(SystemErrorException):
+    """Exception raised when yaml parse failed."""
+
+    pass
+
+
+class ApplyInputMappingError(ValidationException):
+    def __init__(self, target: ErrorTarget = ErrorTarget.CORE, **kwargs):
+        super().__init__(target=target, **kwargs)
+
+
+class InvalidMessageFormatType(UserErrorException):
+    """Exception raised when the message format from yaml is invalid."""
+
+    pass
diff --git a/src/promptflow/promptflow/_utils/async_utils.py b/src/promptflow-core/promptflow/_utils/async_utils.py
similarity index 100%
rename from src/promptflow/promptflow/_utils/async_utils.py
rename to src/promptflow-core/promptflow/_utils/async_utils.py
diff --git a/src/promptflow/promptflow/_utils/connection_utils.py b/src/promptflow-core/promptflow/_utils/connection_utils.py
similarity index 100%
rename from src/promptflow/promptflow/_utils/connection_utils.py
rename to src/promptflow-core/promptflow/_utils/connection_utils.py
diff --git a/src/promptflow/promptflow/_utils/context_utils.py b/src/promptflow-core/promptflow/_utils/context_utils.py
similarity index 100%
rename from src/promptflow/promptflow/_utils/context_utils.py
rename to src/promptflow-core/promptflow/_utils/context_utils.py
diff --git a/src/promptflow/promptflow/_utils/credential_scrubber.py b/src/promptflow-core/promptflow/_utils/credential_scrubber.py
similarity index 100%
rename from src/promptflow/promptflow/_utils/credential_scrubber.py
rename to src/promptflow-core/promptflow/_utils/credential_scrubber.py
diff --git a/src/promptflow/promptflow/_utils/credential_utils.py b/src/promptflow-core/promptflow/_utils/credential_utils.py
similarity index 86%
rename from src/promptflow/promptflow/_utils/credential_utils.py
rename to src/promptflow-core/promptflow/_utils/credential_utils.py
index c9254f03f6f..720fbdea45f 100644
--- a/src/promptflow/promptflow/_utils/credential_utils.py
+++ b/src/promptflow-core/promptflow/_utils/credential_utils.py
@@ -2,10 +2,12 @@
 # Copyright (c) Microsoft Corporation. All rights reserved.
 # ---------------------------------------------------------
 
+
 def get_default_azure_credential():
     from azure.identity import DefaultAzureCredential
+
     try:
-        from azure.ai.ml._azure_environments import _get_default_cloud_name, EndpointURLS, _get_cloud, AzureEnvironments
+        from azure.ai.ml._azure_environments import AzureEnvironments, EndpointURLS, _get_cloud, _get_default_cloud_name
     except ImportError:
         return DefaultAzureCredential()
     # Support sovereign cloud cases, like mooncake, fairfax.
diff --git a/src/promptflow/promptflow/_utils/dataclass_serializer.py b/src/promptflow-core/promptflow/_utils/dataclass_serializer.py
similarity index 59%
rename from src/promptflow/promptflow/_utils/dataclass_serializer.py
rename to src/promptflow-core/promptflow/_utils/dataclass_serializer.py
index b5a09b4b97d..466c64dfd9c 100644
--- a/src/promptflow/promptflow/_utils/dataclass_serializer.py
+++ b/src/promptflow-core/promptflow/_utils/dataclass_serializer.py
@@ -5,11 +5,9 @@
 from dataclasses import fields, is_dataclass
 from datetime import datetime
 from enum import Enum
-from typing import Any, Callable, Dict, List, Type, TypeVar
+from typing import Any, Dict, List, Type, TypeVar
 
 from promptflow._constants import DEFAULT_OUTPUT_NAME
-from promptflow._core.generator_proxy import GeneratorProxy
-from promptflow.contracts.tool import ConnectionType
 
 T = TypeVar("T")
 
@@ -58,51 +56,6 @@ def deserialize_value(obj, field_type):
     return obj
 
 
-def serialize(value: object, remove_null: bool = False, serialization_funcs: Dict[type, Callable] = None) -> dict:
-    if serialization_funcs:
-        for cls, f in serialization_funcs.items():
-            if isinstance(value, cls):
-                return f(value)
-    if isinstance(value, datetime):
-        return value.isoformat() + "Z"
-    if isinstance(value, Enum):
-        return value.value
-    if isinstance(value, list):
-        return [serialize(v, remove_null, serialization_funcs) for v in value]
-    if isinstance(value, GeneratorProxy):
-        # TODO: The current implementation of the serialize function is not self-explanatory, as value.items is mutable
-        # whereas the serialize function should deal with a fixed object. We should rename the function to
-        # to_serializable to better reflect its purpose.
-        return value.items
-    #  Note that custom connection check should before dict check
-    if ConnectionType.is_connection_value(value):
-        return ConnectionType.serialize_conn(value)
-    if isinstance(value, dict):
-        return {k: serialize(v, remove_null, serialization_funcs) for k, v in value.items()}
-    if is_dataclass(value):
-        if hasattr(value, "serialize"):
-            result = value.serialize()
-        else:
-            result = {
-                f.name: serialize(getattr(value, f.name), remove_null, serialization_funcs) for f in fields(value)
-            }
-        if not remove_null:
-            return result
-        null_keys = [k for k, v in result.items() if v is None]
-        for k in null_keys:
-            result.pop(k)
-        return result
-    try:
-        from pydantic import BaseModel
-
-        if isinstance(value, BaseModel):  # Handle pydantic model, which is used in langchain
-            return value.dict()
-    except ImportError:
-        # Ignore ImportError if pydantic is not installed
-        pass
-    return value
-
-
 def assertEqual(a: dict, b: dict, path: str = ""):
     if isinstance(a, dict):
         assert isinstance(b, dict), f"{path}: {type(a)} != {type(b)}"
diff --git a/src/promptflow/promptflow/_utils/exception_utils.py b/src/promptflow-core/promptflow/_utils/exception_utils.py
similarity index 99%
rename from src/promptflow/promptflow/_utils/exception_utils.py
rename to src/promptflow-core/promptflow/_utils/exception_utils.py
index 8e40f331638..ee47dad0feb 100644
--- a/src/promptflow/promptflow/_utils/exception_utils.py
+++ b/src/promptflow-core/promptflow/_utils/exception_utils.py
@@ -7,9 +7,10 @@
 from datetime import datetime
 from enum import Enum
 from traceback import TracebackException, format_tb
-from types import TracebackType, FrameType
+from types import FrameType, TracebackType
 
 from promptflow.exceptions import PromptflowException, SystemErrorException, UserErrorException, ValidationException
+from promptflow.tracing._operation_context import OperationContext
 
 ADDITIONAL_INFO_USER_EXECUTION_ERROR = "ToolExecutionErrorDetails"
 ADDITIONAL_INFO_USER_CODE_STACKTRACE = "UserCodeStackTrace"
@@ -107,8 +108,6 @@ def get_user_execution_error_info(self):
         return user_execution_error_info
 
     def to_dict(self):
-        from promptflow._core.operation_context import OperationContext
-
         return {
             "error": self._error_dict,
             "correlation": None,  # TODO: to be implemented
diff --git a/src/promptflow/promptflow/_utils/execution_utils.py b/src/promptflow-core/promptflow/_utils/execution_utils.py
similarity index 56%
rename from src/promptflow/promptflow/_utils/execution_utils.py
rename to src/promptflow-core/promptflow/_utils/execution_utils.py
index bcf90c9ec97..fcf97e4793f 100644
--- a/src/promptflow/promptflow/_utils/execution_utils.py
+++ b/src/promptflow-core/promptflow/_utils/execution_utils.py
@@ -7,6 +7,7 @@
 from promptflow.contracts.flow import Flow, FlowInputDefinition, InputAssignment, InputValueType
 from promptflow.contracts.run_info import FlowRunInfo, Status
 from promptflow.executor import _input_assignment_parser
+from promptflow.tracing._operation_context import OperationContext
 
 
 def apply_default_value_for_input(inputs: Dict[str, FlowInputDefinition], line_inputs: Mapping) -> Dict[str, Any]:
@@ -69,3 +70,48 @@ def _parse_aggregation_input(nodes_outputs: dict, aggregation_input_property: st
     """Parse the value of the aggregation input from the nodes outputs."""
     assign = InputAssignment.deserialize(aggregation_input_property)
     return _input_assignment_parser.parse_value(assign, nodes_outputs, {})
+
+
+def set_batch_input_source_from_inputs_mapping(inputs_mapping):
+    """Infer the batch input source from the input mapping and set it in the OperationContext instance.
+
+    This method analyzes the `inputs_mapping` to ascertain the origin of the inputs for a batch operation.
+    The `inputs_mapping` should be a dictionary with keys representing input names and values specifying the sources
+    of these inputs. Inputs can originate from direct data or from the outputs of a previous run.
+
+    The `inputs_mapping` is dictated entirely by the external caller. For more details on column mapping, refer to
+    https://aka.ms/pf/column-mapping. The mapping can include references to both the inputs and outputs of previous
+    runs, using a reserved source name 'run' to indicate such references. However, this method specifically checks
+    for references to outputs of previous runs, which are denoted by values starting with "${run.outputs". When such
+    a reference is found, the `batch_input_source` attribute of the OperationContext instance is set to "Run" to
+    reflect that the batch operation is utilizing outputs from a prior run.
+
+    If no values in the `inputs_mapping` start with "${run.outputs", it is inferred that the inputs do not derive
+    from a previous run, and the `batch_input_source` is set to "Data".
+
+    Examples of `inputs_mapping`:
+        - Referencing a previous run's output:
+            {'input1': '${run.outputs.some_output}', 'input2': 'direct_data'}
+          In this case, 'input1' is sourced from a prior run's output, and 'input2' is from direct data.
+          The `batch_input_source` would be set to "Run".
+
+        - Sourcing directly from data:
+            {'input1': 'data_source1', 'input2': 'data_source2'}
+          Since no values start with "${run.outputs", the `batch_input_source` is set to "Data".
+
+    Args:
+        inputs_mapping (Mapping[str, str]): A dictionary mapping input names to their sources, where the sources
+        can be either direct data or outputs from a previous run. The structure and content of this mapping are
+        entirely under the control of the external caller.
+
+    Returns:
+        None
+    """
+
+    if inputs_mapping and any(
+        isinstance(value, str) and value.startswith("${run.outputs") for value in inputs_mapping.values()
+    ):
+        batch_input_source = "Run"
+    else:
+        batch_input_source = "Data"
+    OperationContext.get_instance()["batch_input_source"] = batch_input_source
diff --git a/src/promptflow/promptflow/_utils/feature_utils.py b/src/promptflow-core/promptflow/_utils/feature_utils.py
similarity index 89%
rename from src/promptflow/promptflow/_utils/feature_utils.py
rename to src/promptflow-core/promptflow/_utils/feature_utils.py
index aff621370da..b4bc56fd728 100644
--- a/src/promptflow/promptflow/_utils/feature_utils.py
+++ b/src/promptflow-core/promptflow/_utils/feature_utils.py
@@ -56,6 +56,11 @@ def get_feature_list():
             description="Support resuming batch run.",
             state=FeatureState.E2ETEST,
         ),
+        Feature(
+            name="LocalPfsForChat",
+            description="Support starting local http server for flow test.",
+            state=FeatureState.E2ETEST,
+        ),
     ]
 
     return feature_list
diff --git a/src/promptflow-core/promptflow/_utils/flow_utils.py b/src/promptflow-core/promptflow/_utils/flow_utils.py
new file mode 100644
index 00000000000..b723bc45e1f
--- /dev/null
+++ b/src/promptflow-core/promptflow/_utils/flow_utils.py
@@ -0,0 +1,252 @@
+# ---------------------------------------------------------
+# Copyright (c) Microsoft Corporation. All rights reserved.
+# ---------------------------------------------------------
+import hashlib
+import json
+import os
+import re
+from os import PathLike
+from pathlib import Path
+from typing import Optional, Tuple, Union
+
+from promptflow._constants import CHAT_HISTORY, DEFAULT_ENCODING, DEFAULT_FLOW_YAML_FILE_NAME, PROMPT_FLOW_DIR_NAME
+from promptflow._core._errors import MetaFileNotFound, MetaFileReadError
+from promptflow._utils.logger_utils import LoggerFactory
+from promptflow._utils.utils import strip_quotation
+from promptflow._utils.yaml_utils import dump_yaml, load_yaml
+from promptflow.contracts.flow import Flow as ExecutableFlow
+from promptflow.exceptions import ErrorTarget, UserErrorException
+from promptflow.tracing._utils import serialize
+
+logger = LoggerFactory.get_logger(name=__name__)
+
+
+def get_flow_lineage_id(flow_dir: Union[str, PathLike]):
+    """
+    Get the lineage id for flow. The flow lineage id will be same for same flow in same GIT repo or device.
+    If the flow locates in GIT repo:
+        use Repo name + relative path to flow_dir as session id
+    Otherwise:
+        use device id + absolute path to flow_dir as session id
+    :param flow_dir: flow directory
+    """
+    flow_dir = Path(flow_dir).resolve()
+    if not flow_dir.is_dir():
+        flow_dir = flow_dir.parent
+    try:
+        from git import Repo
+
+        repo = Repo(flow_dir, search_parent_directories=True)
+        lineage_id = f"{os.path.basename(repo.working_dir)}/{flow_dir.relative_to(repo.working_dir).as_posix()}"
+        logger.debug("Got lineage id %s from git repo.", lineage_id)
+
+    except Exception:
+        # failed to get repo, use device id + absolute path to flow_dir as session id
+        import uuid
+
+        device_id = uuid.getnode()
+        lineage_id = f"{device_id}/{flow_dir.absolute().as_posix()}"
+        logger.debug("Got lineage id %s from local since failed to get git info.", lineage_id)
+
+    # hash the value to avoid it gets too long, and it's not user visible.
+    lineage_id = hashlib.sha256(lineage_id.encode()).hexdigest()
+    return lineage_id
+
+
+def resolve_flow_path(
+    flow_path: Union[str, Path, PathLike], base_path: Union[str, Path, PathLike, None] = None, new: bool = False
+) -> Tuple[Path, str]:
+    """Resolve flow path and return the flow directory path and the file name of the target yaml.
+
+    :param flow_path: The path of the flow directory or the flow yaml file. It can either point to a
+      flow directory or a flow yaml file.
+    :type flow_path: Union[str, Path, PathLike]
+    :param base_path: The base path to resolve the flow path. If not specified, the flow path will be
+      resolved based on the current working directory.
+    :type base_path: Union[str, Path, PathLike]
+    :param new: If True, the function will return the flow directory path and the file name of the
+        target yaml that should be created. If False, the function will try to find the existing
+        target yaml and raise FileNotFoundError if not found.
+    :return: The flow directory path and the file name of the target yaml.
+    :rtype: Tuple[Path, str]
+    """
+    if base_path:
+        flow_path = Path(base_path) / flow_path
+    else:
+        flow_path = Path(flow_path)
+
+    if new:
+        if flow_path.is_dir():
+            return flow_path, DEFAULT_FLOW_YAML_FILE_NAME
+        return flow_path.parent, flow_path.name
+
+    if flow_path.is_dir() and (flow_path / DEFAULT_FLOW_YAML_FILE_NAME).is_file():
+        return flow_path, DEFAULT_FLOW_YAML_FILE_NAME
+    elif flow_path.is_file():
+        return flow_path.parent, flow_path.name
+
+    raise FileNotFoundError(f"Can't find flow with path {flow_path.as_posix()}.")
+
+
+def load_flow_dag(flow_path: Path):
+    """Load flow dag from given flow path."""
+    flow_dir, file_name = resolve_flow_path(flow_path)
+    flow_path = flow_dir / file_name
+    if not flow_path.exists():
+        raise FileNotFoundError(f"Flow file {flow_path} not found")
+    with open(flow_path, "r", encoding=DEFAULT_ENCODING) as f:
+        flow_dag = load_yaml(f)
+    return flow_path, flow_dag
+
+
+def dump_flow_dag(flow_dag: dict, flow_path: Path):
+    """Dump flow dag to given flow path."""
+    flow_dir, flow_filename = resolve_flow_path(flow_path, new=True)
+    flow_path = flow_dir / flow_filename
+    with open(flow_path, "w", encoding=DEFAULT_ENCODING) as f:
+        dump_yaml(flow_dag, f)
+    return flow_path
+
+
+def is_flex_flow(
+    *, file_path: Union[str, Path, None] = None, yaml_dict: Optional[dict] = None, working_dir: Optional[Path] = None
+):
+    """Check if the flow is a flex flow."""
+    if file_path is None and yaml_dict is None:
+        raise UserErrorException("Either file_path or yaml_dict should be provided.")
+    if file_path is not None and yaml_dict is not None:
+        raise UserErrorException("Only one of file_path and yaml_dict should be provided.")
+    if file_path is not None:
+        file_path = Path(file_path)
+        if working_dir is not None and not file_path.is_absolute():
+            file_path = working_dir / file_path
+        if file_path.suffix.lower() not in [".yaml", ".yml"]:
+            return False
+        yaml_dict = load_yaml(file_path)
+    return isinstance(yaml_dict, dict) and "entry" in yaml_dict
+
+
+def resolve_entry_file(entry: str, working_dir: Path) -> Optional[str]:
+    """Resolve entry file from entry.
+    If entry is a local file, e.g. my.local.file:entry_function, return the local file: my/local/file.py
+        and executor will import it from local file.
+    Else, assume the entry is from a package e.g. external.module:entry, return None
+        and executor will try import it from package.
+    """
+    try:
+        entry_file = f'{entry.split(":")[0].replace(".", "/")}.py'
+    except Exception as e:
+        raise UserErrorException(f"Entry function {entry} is not valid: {e}")
+    entry_file = working_dir / entry_file
+    if entry_file.exists():
+        return entry_file.resolve().absolute().as_posix()
+    # when entry file not found in working directory, return None since it can come from package
+    return None
+
+
+def read_json_content(file_path: Path, target: str) -> dict:
+    if file_path.is_file():
+        with open(file_path, mode="r", encoding=DEFAULT_ENCODING) as f:
+            try:
+                return json.load(f)
+            except json.JSONDecodeError:
+                raise MetaFileReadError(
+                    message_format="Failed to fetch {target_obj}: {file_path} is not a valid json file.",
+                    file_path=file_path.absolute().as_posix(),
+                    target_obj=target,
+                )
+    raise MetaFileNotFound(
+        message_format=(
+            "Failed to fetch meta of tools: cannot find {file_path}, "
+            "please build the flow project with extension first."
+        ),
+        file_path=file_path.absolute().as_posix(),
+    )
+
+
+def dump_flow_result(flow_folder, prefix, flow_result=None, node_result=None, custom_path=None):
+    """Dump flow result for extension.
+
+    :param flow_folder: The flow folder.
+    :param prefix: The file prefix.
+    :param flow_result: The flow result returned by exec_line.
+    :param node_result: The node result when test node returned by load_and_exec_node.
+    :param custom_path: The custom path to dump flow result.
+    """
+    if flow_result:
+        flow_serialize_result = {
+            "flow_runs": [serialize(flow_result.run_info)],
+            "node_runs": [serialize(run) for run in flow_result.node_run_infos.values()],
+        }
+    else:
+        flow_serialize_result = {
+            "flow_runs": [],
+            "node_runs": [serialize(node_result)],
+        }
+
+    dump_folder = Path(flow_folder) / PROMPT_FLOW_DIR_NAME if custom_path is None else Path(custom_path)
+    dump_folder.mkdir(parents=True, exist_ok=True)
+
+    with open(dump_folder / f"{prefix}.detail.json", "w", encoding=DEFAULT_ENCODING) as f:
+        json.dump(flow_serialize_result, f, indent=2, ensure_ascii=False)
+    if node_result:
+        metrics = flow_serialize_result["node_runs"][0]["metrics"]
+        output = flow_serialize_result["node_runs"][0]["output"]
+    else:
+        metrics = flow_serialize_result["flow_runs"][0]["metrics"]
+        output = flow_serialize_result["flow_runs"][0]["output"]
+    if metrics:
+        with open(dump_folder / f"{prefix}.metrics.json", "w", encoding=DEFAULT_ENCODING) as f:
+            json.dump(metrics, f, indent=2, ensure_ascii=False)
+    if output:
+        with open(dump_folder / f"{prefix}.output.json", "w", encoding=DEFAULT_ENCODING) as f:
+            json.dump(output, f, indent=2, ensure_ascii=False)
+
+
+def is_executable_chat_flow(flow: ExecutableFlow):
+    """
+    Check if the flow is chat flow.
+    Check if chat_history in the flow input and only one chat input and
+    one chat output to determine if it is a chat flow.
+
+    :param flow: The flow object.
+    :type flow: promptflow.contracts.flow.Flow
+    """
+    chat_inputs = [item for item in flow.inputs.values() if item.is_chat_input]
+    chat_outputs = [item for item in flow.outputs.values() if item.is_chat_output]
+    chat_history_input_name = next(
+        iter([input_name for input_name, value in flow.inputs.items() if value.is_chat_history]), None
+    )
+    if (
+        not chat_history_input_name
+        and CHAT_HISTORY in flow.inputs
+        and flow.inputs[CHAT_HISTORY].is_chat_history is not False
+    ):
+        chat_history_input_name = CHAT_HISTORY
+    _is_chat_flow, error_msg = True, ""
+    if len(chat_inputs) != 1:
+        _is_chat_flow = False
+        error_msg = "chat flow does not support multiple chat inputs"
+    elif len(chat_outputs) != 1:
+        _is_chat_flow = False
+        error_msg = "chat flow does not support multiple chat outputs"
+    elif not chat_history_input_name:
+        _is_chat_flow = False
+        error_msg = "chat_history is required in the inputs of chat flow"
+    return _is_chat_flow, chat_history_input_name, error_msg
+
+
+def parse_variant(variant: str) -> Tuple[str, str]:
+    variant_regex = r"\${([^.]+).([^}]+)}"
+    match = re.match(variant_regex, strip_quotation(variant))
+    if match:
+        return match.group(1), match.group(2)
+    else:
+        error = ValueError(
+            f"Invalid variant format: {variant}, variant should be in format of ${{TUNING_NODE.VARIANT}}"
+        )
+        raise UserErrorException(
+            target=ErrorTarget.CONTROL_PLANE_SDK,
+            message=str(error),
+            error=error,
+        )
diff --git a/src/promptflow/promptflow/_utils/inputs_mapping_utils.py b/src/promptflow-core/promptflow/_utils/inputs_mapping_utils.py
similarity index 97%
rename from src/promptflow/promptflow/_utils/inputs_mapping_utils.py
rename to src/promptflow-core/promptflow/_utils/inputs_mapping_utils.py
index 4a681bdbafd..ea93ab823ad 100644
--- a/src/promptflow/promptflow/_utils/inputs_mapping_utils.py
+++ b/src/promptflow-core/promptflow/_utils/inputs_mapping_utils.py
@@ -5,8 +5,8 @@
 from typing import Any, Dict, Mapping
 
 from promptflow._constants import LINE_NUMBER_KEY
+from promptflow._utils._errors import ApplyInputMappingError
 from promptflow._utils.logger_utils import LoggerFactory
-from promptflow.batch._errors import InputMappingError
 
 logger = LoggerFactory.get_logger(name=__name__)
 
@@ -78,7 +78,7 @@ def apply_inputs_mapping(
     # Return all not found mapping relations in one exception to provide better debug experience.
     if notfound_mapping_relations:
         invalid_relations = ", ".join(notfound_mapping_relations)
-        raise InputMappingError(
+        raise ApplyInputMappingError(
             message_format=(
                 "The input for batch run is incorrect. Couldn't find these mapping relations: {invalid_relations}. "
                 "Please make sure your input mapping keys and values match your YAML input section and input data. "
diff --git a/src/promptflow/promptflow/_utils/load_data.py b/src/promptflow-core/promptflow/_utils/load_data.py
similarity index 93%
rename from src/promptflow/promptflow/_utils/load_data.py
rename to src/promptflow-core/promptflow/_utils/load_data.py
index 45cdce49342..806c7d699fa 100644
--- a/src/promptflow/promptflow/_utils/load_data.py
+++ b/src/promptflow-core/promptflow/_utils/load_data.py
@@ -59,12 +59,13 @@ def _bfs_dir(dir_path: List[str]) -> Tuple[List[str], List[str]]:
     """BFS traverse directory with depth 1, returns files and directories"""
     files, dirs = [], []
     for path in dir_path:
-        for filename in os.listdir(path):
-            file = Path(path, filename).resolve()
-            if file.is_file():
-                files.append(str(file))
-            else:
-                dirs.append(str(file))
+        if os.path.exists(path):
+            for filename in os.listdir(path):  # Path does not exist and will throw FileNotFoundError
+                file = Path(path, filename).resolve()
+                if file.is_file():
+                    files.append(str(file))
+                else:
+                    dirs.append(str(file))
     return files, dirs
 
 
diff --git a/src/promptflow/promptflow/_utils/logger_utils.py b/src/promptflow-core/promptflow/_utils/logger_utils.py
similarity index 87%
rename from src/promptflow/promptflow/_utils/logger_utils.py
rename to src/promptflow-core/promptflow/_utils/logger_utils.py
index 2bb8d067298..fca4c9c0a7e 100644
--- a/src/promptflow/promptflow/_utils/logger_utils.py
+++ b/src/promptflow-core/promptflow/_utils/logger_utils.py
@@ -13,9 +13,10 @@
 from contextvars import ContextVar
 from dataclasses import dataclass
 from functools import partial
+from pathlib import Path
 from typing import List, Optional
 
-from promptflow._constants import PF_LOGGING_LEVEL
+from promptflow._constants import LINE_NUMBER_WIDTH, PF_LOGGING_LEVEL
 from promptflow._utils.credential_scrubber import CredentialScrubber
 from promptflow._utils.exception_utils import ExceptionPresenter
 from promptflow.contracts.run_mode import RunMode
@@ -217,10 +218,22 @@ class LogContext:
     run_mode: Optional[RunMode] = RunMode.Test
     credential_list: Optional[List[str]] = None  # These credentials will be scrubbed in logs.
     input_logger: logging.Logger = None  # If set, then context will also be set for input_logger.
+    flow_logs_folder: Optional[str] = None  # Used in batch mode to specify the folder for flow logs.
+    line_number: Optional[int] = None  # Used in batch mode to specify the line log file name.
+
+    # Before, we only have one FileHandlerConcurrentWrapper for any run mode.
+    # Now, we have two for batch run mode, one for whole run log, one for single line log.
+    # For single line log handlers, we create and remove them in __enter__ and __exit__ method,
+    # to avoid setting same logger path for 2 handlers.
+    temporary_flow_log_handlers = []
 
     def get_initializer(self):
         return partial(
-            LogContext, file_path=self.file_path, run_mode=self.run_mode, credential_list=self.credential_list
+            LogContext,
+            file_path=self.file_path,
+            run_mode=self.run_mode,
+            credential_list=self.credential_list,
+            flow_logs_folder=self.flow_logs_folder,
         )
 
     @staticmethod
@@ -244,6 +257,7 @@ def clear_current():
 
     def __enter__(self):
         self._set_log_path()
+        self._add_batch_run_flow_logs_handler()
         self._set_credential_list()
         LogContext.set_current(self)
 
@@ -258,6 +272,9 @@ def __exit__(self, *args):
                     handler.clear()
                 elif isinstance(handler.formatter, CredentialScrubberFormatter):
                     handler.formatter.clear()
+            for handlers_to_remove in self.temporary_flow_log_handlers:
+                logger_.removeHandler(handlers_to_remove)
+        self.temporary_flow_log_handlers.clear()
         LogContext.clear_current()
 
     def _set_log_path(self):
@@ -271,6 +288,21 @@ def _set_log_path(self):
                     handler = FileHandler(self.file_path)
                     log_handler.handler = handler
 
+    # During __enter__ method, add FileHandlerConcurrentWrapper for batch run mode's single line execution log.
+    # And remove it during __exit__ method.
+    def _add_batch_run_flow_logs_handler(self):
+        if self.run_mode != RunMode.Batch or self.flow_logs_folder is None or self.line_number is None:
+            return
+
+        file_name = f"{str(self.line_number).zfill(LINE_NUMBER_WIDTH)}.log"
+        path = Path(self.flow_logs_folder) / file_name
+        for logger_ in self._get_batch_run_flow_loggers_list():
+            flow_log_handler = FileHandlerConcurrentWrapper()
+            handler = FileHandler(path)
+            flow_log_handler.handler = handler
+            logger_.addHandler(flow_log_handler)
+            self.temporary_flow_log_handlers.append(flow_log_handler)
+
     def _set_credential_list(self):
         # Set credential list to all loggers.
         all_logger_list = self._get_execute_loggers_list()
@@ -302,6 +334,11 @@ def _get_execute_loggers_list(cls) -> List[logging.Logger]:
         # return all loggers for executor
         return [logger, flow_logger, bulk_logger]
 
+    @classmethod
+    def _get_batch_run_flow_loggers_list(cls) -> List[logging.Logger]:
+        # Exclude bulk_logger for line execution log.
+        return [logger, flow_logger]
+
 
 def update_log_path(log_path: str, input_logger: logging.Logger = None):
     logger_list = [logger, bulk_logger, flow_logger]
diff --git a/src/promptflow/promptflow/_utils/multimedia_data_converter.py b/src/promptflow-core/promptflow/_utils/multimedia_data_converter.py
similarity index 93%
rename from src/promptflow/promptflow/_utils/multimedia_data_converter.py
rename to src/promptflow-core/promptflow/_utils/multimedia_data_converter.py
index 8dd6a1e6733..84ef560c4e9 100644
--- a/src/promptflow/promptflow/_utils/multimedia_data_converter.py
+++ b/src/promptflow-core/promptflow/_utils/multimedia_data_converter.py
@@ -5,7 +5,7 @@
 from pathlib import Path
 from typing import Any, Callable
 
-from promptflow._utils.multimedia_utils import is_multimedia_dict
+from promptflow._utils.multimedia_utils import BasicMultimediaProcessor
 
 
 class ResourceType(Enum):
@@ -77,7 +77,7 @@ class MultimediaFormatAdapter20231201(AbstractMultimediaFormatAdapter):
     MIME_PATTERN = re.compile(r"^data:(.*);(path|base64|url)$")
 
     def is_valid_format(self, original_data: Any):
-        return isinstance(original_data, dict) and is_multimedia_dict(original_data)
+        return isinstance(original_data, dict) and BasicMultimediaProcessor.is_multimedia_dict(original_data)
 
     def extract_info(self, original_data: Any) -> MultimediaInfo:
         if not self.is_valid_format(original_data):
@@ -116,9 +116,9 @@ def __init__(self, flow_file: Path):
         :param flow_file: The path to the YAML file. The YAML content will be used to determine the contract version.
         :type flow_file: Path
         """
-        # TODO: check yaml content to determine the current contract version.
-        # Different contract version will have different multimedia format.
-        # The version exists in the yaml file, so we need to load the yaml to get version and init converter.
+        # TODO: read flow.MessageFormatType from flow yaml file.
+        # Implement the format_adapter class for the openai-vision type.
+        # Then initialize the format_adapter for different MessageFormatType.
         self.format_adapter = MultimediaFormatAdapter20231201()
 
     def convert_content_recursively(self, content: Any, client_converter: AbstractMultimediaInfoConverter):
diff --git a/src/promptflow-core/promptflow/_utils/multimedia_utils.py b/src/promptflow-core/promptflow/_utils/multimedia_utils.py
new file mode 100644
index 00000000000..d75d40c43cf
--- /dev/null
+++ b/src/promptflow-core/promptflow/_utils/multimedia_utils.py
@@ -0,0 +1,514 @@
+import base64
+import os
+import re
+import uuid
+from abc import ABC, abstractmethod, abstractstaticmethod
+from functools import partial
+from pathlib import Path
+from typing import Any, Callable, Dict, Optional, Union
+from urllib.parse import urlparse
+
+import requests
+
+from promptflow._constants import MessageFormatType
+from promptflow._utils._errors import InvalidImageInput, InvalidMessageFormatType, LoadMultimediaDataError
+from promptflow._utils.yaml_utils import load_yaml
+from promptflow.contracts.flow import FlowInputDefinition
+from promptflow.contracts.multimedia import Image, PFBytes, Text
+from promptflow.contracts.run_info import FlowRunInfo
+from promptflow.contracts.run_info import RunInfo as NodeRunInfo
+from promptflow.contracts.tool import ValueType
+from promptflow.exceptions import ErrorTarget
+
+
+# TODO: Move this function to a more general place and integrate serialization to this function.
+def _process_recursively(value: Any, process_funcs: Dict[type, Callable] = None, inplace: bool = False) -> dict:
+    if process_funcs:
+        for cls, f in process_funcs.items():
+            if isinstance(value, cls):
+                return f(value)
+    if isinstance(value, list):
+        if inplace:
+            for i in range(len(value)):
+                value[i] = _process_recursively(value[i], process_funcs, inplace)
+        else:
+            return [_process_recursively(v, process_funcs, inplace) for v in value]
+    elif isinstance(value, dict):
+        if inplace:
+            for k, v in value.items():
+                value[k] = _process_recursively(v, process_funcs, inplace)
+        else:
+            return {k: _process_recursively(v, process_funcs, inplace) for k, v in value.items()}
+    return value
+
+
+MIME_PATTERN = re.compile(r"^data:image/(.*);(path|base64|url)$")
+
+
+class ImageProcessor:
+    @staticmethod
+    def get_extension_from_mime_type(mime_type: str):
+        ext = mime_type.split("/")[-1]
+        if ext == "*":
+            return None
+        return ext
+
+    @staticmethod
+    def get_multimedia_info(key: str):
+        match = re.match(MIME_PATTERN, key)
+        if match:
+            return match.group(1), match.group(2)
+        return None, None
+
+    @staticmethod
+    def is_url(value: str):
+        try:
+            result = urlparse(value)
+            return all([result.scheme, result.netloc])
+        except ValueError:
+            return False
+
+    @staticmethod
+    def is_base64(value: str):
+        prefix_regex = re.compile(r"^data:image/(.*);base64")
+        base64_regex = re.compile(r"^([A-Za-z0-9+/]{4})*(([A-Za-z0-9+/]{2})*(==|[A-Za-z0-9+/]=)?)?$")
+        base64_with_prefix = value.split(",")
+        if len(base64_with_prefix) == 2:
+            if re.match(prefix_regex, base64_with_prefix[0]) and re.match(base64_regex, base64_with_prefix[1]):
+                return True
+        elif len(base64_with_prefix) == 1:
+            if re.match(base64_regex, value):
+                return True
+        return False
+
+    @staticmethod
+    def create_image_from_file(f: Path, mime_type: str = None):
+        with open(f, "rb") as fin:
+            return Image(fin.read(), mime_type=mime_type)
+
+    @staticmethod
+    def create_image_from_base64(base64_str: str, mime_type: str = None):
+        base64_str = base64_str.split(",")[-1]
+        image_bytes = base64.b64decode(base64_str)
+        return Image(image_bytes, mime_type=mime_type)
+
+    @staticmethod
+    def create_image_from_url(url: str, mime_type: str = None):
+        response = requests.get(url)
+        if response.status_code == 200:
+            return Image(response.content, mime_type=mime_type, source_url=url)
+        else:
+            raise InvalidImageInput(
+                message_format=(
+                    "Failed to fetch image from URL: {url}. Error code: {error_code}. "
+                    "Error message: {error_message}."
+                ),
+                target=ErrorTarget.EXECUTOR,
+                url=url,
+                error_code=response.status_code,
+                error_message=response.text,
+            )
+
+    @staticmethod
+    def create_image_from_string(value: str):
+        if ImageProcessor.is_base64(value):
+            return ImageProcessor.create_image_from_base64(value)
+        elif ImageProcessor.is_url(value):
+            return ImageProcessor.create_image_from_url(value)
+        else:
+            return ImageProcessor.create_image_from_file(Path(value))
+
+
+class TextProcessor:
+    @staticmethod
+    def is_text_dict(text_dict: dict):
+        if len(text_dict) != 2:
+            return False
+        if "type" not in text_dict:
+            return False
+        if text_dict["type"] == "text" and "text" in text_dict:
+            text = text_dict["text"]
+            if isinstance(text, str):
+                return True
+            elif isinstance(text, dict):
+                if "value" in text and isinstance(text["value"], str):
+                    return True
+        return False
+
+    @staticmethod
+    def create_text_from_dict(text_dict: any):
+        return Text.deserialize(text_dict)
+
+
+class MultimediaProcessor(ABC):
+    @staticmethod
+    def create(message_format_type: str = MessageFormatType.BASIC):
+        if not message_format_type or message_format_type.lower() == MessageFormatType.BASIC:
+            return BasicMultimediaProcessor()
+        if message_format_type.lower() == MessageFormatType.OPENAI_VISION:
+            return OpenaiVisionMultimediaProcessor()
+        raise InvalidMessageFormatType(
+            message_format=(
+                f"Invalid message format '{message_format_type}'. "
+                "Supported message formats are ['basic', 'openai-vision']."
+            ),
+        )
+
+    @staticmethod
+    def create_from_yaml(flow_file: Path, working_dir: Optional[Path] = None):
+        if flow_file and Path(flow_file).suffix.lower() in [".yaml", ".yml"]:
+            flow_file = working_dir / flow_file if working_dir else flow_file
+            with open(flow_file, "r", encoding="utf-8") as fin:
+                flow_dag = load_yaml(fin)
+            message_format_type = flow_dag.get("message_format", MessageFormatType.BASIC)
+            return MultimediaProcessor.create(message_format_type)
+        return BasicMultimediaProcessor()
+
+    def create_image(self, value: any):
+        if isinstance(value, PFBytes):
+            return value
+        elif isinstance(value, dict):
+            if self.is_multimedia_dict(value):
+                return self._create_image_from_dict(value)
+            else:
+                raise InvalidImageInput(
+                    message_format=(
+                        "Invalid image input format. The image input should be a dictionary like: "
+                        "{{data:image/<image_type>;[path|base64|url]: <image_data>}}."
+                    ),
+                    target=ErrorTarget.EXECUTOR,
+                )
+        elif isinstance(value, str):
+            if not value:
+                raise InvalidImageInput(
+                    message_format="The image input should not be empty.", target=ErrorTarget.EXECUTOR
+                )
+            return ImageProcessor.create_image_from_string(value)
+        else:
+            raise InvalidImageInput(
+                message_format=(
+                    f"Unsupported image input type: {type(value)}. "
+                    "The image inputs should be a string or a dictionary."
+                ),
+                target=ErrorTarget.EXECUTOR,
+            )
+
+    def _save_image_to_file(
+        self, image: Image, file_name: str, folder_path: Path, relative_path: Path = None, use_absolute_path=False
+    ):
+        ext = ImageProcessor.get_extension_from_mime_type(image._mime_type)
+        file_name = f"{file_name}.{ext}" if ext else file_name
+        image_path = (relative_path / file_name).as_posix() if relative_path else file_name
+        if use_absolute_path:
+            image_path = Path(folder_path / image_path).resolve().as_posix()
+        image_reference = self._generate_image_file_reference(image, image_path)
+        path = folder_path / relative_path if relative_path else folder_path
+        os.makedirs(path, exist_ok=True)
+        with open(os.path.join(path, file_name), "wb") as file:
+            file.write(image)
+        return image_reference
+
+    def get_file_reference_encoder(
+        self, folder_path: Path, relative_path: Path = None, use_absolute_path=False
+    ) -> Callable:
+        def pfbytes_file_reference_encoder(obj):
+            """Dumps PFBytes to a file and returns its reference."""
+            if obj.source_url:
+                return self._generate_image_url_reference(obj)
+            if isinstance(obj, PFBytes):
+                file_name = str(uuid.uuid4())
+                # If use_absolute_path is True, the image file path in image dictionary will be absolute path.
+                return self._save_image_to_file(obj, file_name, folder_path, relative_path, use_absolute_path)
+            raise TypeError(f"Not supported to dump type '{type(obj).__name__}'.")
+
+        return pfbytes_file_reference_encoder
+
+    def load_multimedia_data(self, inputs: Dict[str, FlowInputDefinition], line_inputs: dict):
+        updated_inputs = dict(line_inputs or {})
+        for key, value in inputs.items():
+            try:
+                if value.type == ValueType.IMAGE:
+                    if isinstance(updated_inputs[key], list):
+                        # For aggregation node, the image input is a list.
+                        updated_inputs[key] = [self.create_image(item) for item in updated_inputs[key]]
+                    else:
+                        updated_inputs[key] = self.create_image(updated_inputs[key])
+                elif value.type == ValueType.LIST or value.type == ValueType.OBJECT:
+                    updated_inputs[key] = self.load_multimedia_data_recursively(updated_inputs[key])
+            except Exception as ex:
+                error_type_and_message = f"({ex.__class__.__name__}) {ex}"
+                raise LoadMultimediaDataError(
+                    message_format="Failed to load image for input '{key}': {error_type_and_message}",
+                    key=key,
+                    error_type_and_message=error_type_and_message,
+                    target=ErrorTarget.EXECUTOR,
+                ) from ex
+        return updated_inputs
+
+    @staticmethod
+    def _process_multimedia_dict_recursively(value: Any, process_funcs: Dict[Callable[[dict], bool], Callable]) -> dict:
+        if isinstance(value, list):
+            return [MultimediaProcessor._process_multimedia_dict_recursively(item, process_funcs) for item in value]
+        elif isinstance(value, dict):
+            for check_func, process_func in process_funcs.items():
+                if check_func(value):
+                    return process_func(value)
+            return {
+                k: MultimediaProcessor._process_multimedia_dict_recursively(v, process_funcs) for k, v in value.items()
+            }
+        else:
+            return value
+
+    @staticmethod
+    def convert_multimedia_data_to_string(value: Any, inplace=False):
+        serialization_funcs = {Image: partial(Image.serialize, **{"encoder": None})}
+        return _process_recursively(value, process_funcs=serialization_funcs, inplace=inplace)
+
+    def process_multimedia_in_run_info(
+        self, run_info: Union[FlowRunInfo, NodeRunInfo], base_dir: Path, sub_dir: Path = None, use_absolute_path=False
+    ):
+        """Persist multimedia data in run info to file and update the run info with the file path.
+        If sub_dir is not None, the multimedia file path will be sub_dir/file_name, otherwise file_name.
+        If use_absolute_path is True, the multimedia file path will be absolute path.
+        """
+        if run_info.inputs:
+            run_info.inputs = self.persist_multimedia_data(run_info.inputs, base_dir, sub_dir, use_absolute_path)
+        if run_info.output:
+            run_info.output = self.persist_multimedia_data(run_info.output, base_dir, sub_dir, use_absolute_path)
+            run_info.result = None
+        if run_info.api_calls:
+            run_info.api_calls = self.persist_multimedia_data(run_info.api_calls, base_dir, sub_dir, use_absolute_path)
+
+    @abstractstaticmethod
+    def is_multimedia_dict(multimedia_dict: dict):
+        pass
+
+    @abstractstaticmethod
+    def _create_image_from_dict(image_dict: dict):
+        pass
+
+    @abstractmethod
+    def load_multimedia_data_recursively(self, value: Any):
+        pass
+
+    @abstractstaticmethod
+    def _generate_image_file_reference(image: PFBytes, image_path: str):
+        pass
+
+    @abstractstaticmethod
+    def _generate_image_url_reference(image: PFBytes):
+        pass
+
+    @abstractmethod
+    def resolve_multimedia_data_recursively(self, input_dir: Path, value: Any):
+        pass
+
+    @abstractmethod
+    def persist_multimedia_data(
+        self, value: Any, base_dir: Path, sub_dir: Path = None, use_absolute_path=False, inplace: bool = False
+    ):
+        pass
+
+    @abstractstaticmethod
+    def convert_multimedia_data_to_base64_dict(value: Any):
+        pass
+
+
+class BasicMultimediaProcessor(MultimediaProcessor):
+    @staticmethod
+    def is_multimedia_dict(multimedia_dict: dict):
+        if len(multimedia_dict) != 1:
+            return False
+        key = list(multimedia_dict.keys())[0]
+        if re.match(MIME_PATTERN, key):
+            return True
+        return False
+
+    @staticmethod
+    def _create_image_from_dict(image_dict: dict):
+        for k, v in image_dict.items():
+            format, resource = ImageProcessor.get_multimedia_info(k)
+            if resource == "path":
+                return ImageProcessor.create_image_from_file(Path(v), mime_type=f"image/{format}")
+            elif resource == "base64":
+                if ImageProcessor.is_base64(v):
+                    return ImageProcessor.create_image_from_base64(v, mime_type=f"image/{format}")
+                else:
+                    raise InvalidImageInput(
+                        message_format=f"Invalid base64 image: {v}.",
+                        target=ErrorTarget.EXECUTOR,
+                    )
+            elif resource == "url":
+                return ImageProcessor.create_image_from_url(v, mime_type=f"image/{format}")
+            else:
+                raise InvalidImageInput(
+                    message_format=(
+                        f"Unsupported image resource: {resource}. Supported Resources are [path, base64, url]."
+                    ),
+                    target=ErrorTarget.EXECUTOR,
+                )
+
+    def load_multimedia_data_recursively(self, value: Any):
+        process_funcs = {self.is_multimedia_dict: self._create_image_from_dict}
+        return self._process_multimedia_dict_recursively(value, process_funcs)
+
+    @staticmethod
+    def _generate_image_file_reference(obj: PFBytes, image_path: str):
+        return {f"data:{obj._mime_type};path": image_path}
+
+    @staticmethod
+    def _generate_image_url_reference(obj: PFBytes):
+        return {f"data:{obj._mime_type};url": obj.source_url}
+
+    def _resolve_image_path(self, input_dir: Path, image_dict: dict):
+        """Resolve image path to absolute path in image dict"""
+
+        input_dir = input_dir.parent if input_dir.is_file() else input_dir
+        if self.is_multimedia_dict(image_dict):
+            for key in image_dict:
+                _, resource = ImageProcessor.get_multimedia_info(key)
+                if resource == "path":
+                    image_dict[key] = str(input_dir / image_dict[key])
+        return image_dict
+
+    def resolve_multimedia_data_recursively(self, input_dir: Path, value: Any):
+        process_funcs = {self.is_multimedia_dict: partial(self._resolve_image_path, input_dir)}
+        return self._process_multimedia_dict_recursively(value, process_funcs)
+
+    def persist_multimedia_data(
+        self, value: Any, base_dir: Path, sub_dir: Path = None, use_absolute_path=False, inplace: bool = False
+    ):
+        pfbytes_file_reference_encoder = (
+            self.get_file_reference_encoder(base_dir, sub_dir, use_absolute_path=use_absolute_path)
+            if base_dir
+            else None
+        )
+        serialization_funcs = {Image: partial(Image.serialize, **{"encoder": pfbytes_file_reference_encoder})}
+        return _process_recursively(value, process_funcs=serialization_funcs, inplace=inplace)
+
+    @staticmethod
+    def convert_multimedia_data_to_base64_dict(value: Any):
+        def convert_pfbytes_to_base64_dict(obj: PFBytes):
+            return {f"data:{obj._mime_type};base64": obj.to_base64()}
+
+        to_base64_funcs = {PFBytes: convert_pfbytes_to_base64_dict}
+        return _process_recursively(value, process_funcs=to_base64_funcs)
+
+
+class OpenaiVisionMultimediaProcessor(MultimediaProcessor):
+    @staticmethod
+    def is_multimedia_dict(multimedia_dict: dict):
+        if len(multimedia_dict) != 2:
+            return False
+        if "type" not in multimedia_dict:
+            return False
+        image_type = multimedia_dict["type"]
+        if image_type not in multimedia_dict or not isinstance(multimedia_dict[image_type], dict):
+            return False
+        if image_type == "image_url" and "url" in multimedia_dict[image_type]:
+            return True
+        if image_type == "image_file" and "path" in multimedia_dict[image_type]:
+            return True
+        return False
+
+    @staticmethod
+    def _create_image_from_dict(image_dict: dict):
+        image_type = image_dict["type"]
+        if image_type == "image_url":
+            image_url = image_dict["image_url"]["url"]
+            if ImageProcessor.is_base64(image_url):
+                return ImageProcessor.create_image_from_base64(image_url)
+            elif ImageProcessor.is_url(image_url):
+                return ImageProcessor.create_image_from_url(image_url)
+            else:
+                raise InvalidImageInput(
+                    message_format=f"Invalid image url: {image_url}. Should be a valid url or base64 string.",
+                    target=ErrorTarget.EXECUTOR,
+                )
+        elif image_type == "image_file":
+            return ImageProcessor.create_image_from_file(Path(image_dict["image_file"]["path"]))
+        else:
+            raise InvalidImageInput(
+                message_format=f"Unsupported image type: {image_type}. Supported types are [image_url, image_file].",
+                target=ErrorTarget.EXECUTOR,
+            )
+
+    def load_multimedia_data_recursively(self, value: Any):
+        process_funcs = {
+            self.is_multimedia_dict: self._create_image_from_dict,
+            TextProcessor.is_text_dict: TextProcessor.create_text_from_dict,
+        }
+        return self._process_multimedia_dict_recursively(value, process_funcs)
+
+    @staticmethod
+    def _generate_image_file_reference(obj: PFBytes, image_path: str):
+        return {"type": "image_file", "image_file": {"path": image_path}}
+
+    @staticmethod
+    def _generate_image_url_reference(obj: PFBytes):
+        return {"type": "image_url", "image_url": {"url": obj.source_url}}
+
+    def _resolve_image_path(self, input_dir: Path, image_dict: dict):
+        """Resolve image path to absolute path in image dict"""
+
+        input_dir = input_dir.parent if input_dir.is_file() else input_dir
+        if self.is_multimedia_dict(image_dict):
+            image_type = image_dict["type"]
+            if image_type == "image_file" and "path" in image_dict["image_file"]:
+                image_dict["image_file"]["path"] = str(input_dir / image_dict["image_file"]["path"])
+        return image_dict
+
+    def resolve_multimedia_data_recursively(self, input_dir: Path, value: Any):
+        process_funcs = {self.is_multimedia_dict: partial(self._resolve_image_path, input_dir)}
+        return self._process_multimedia_dict_recursively(value, process_funcs)
+
+    def persist_multimedia_data(
+        self, value: Any, base_dir: Path, sub_dir: Path = None, use_absolute_path=False, inplace: bool = False
+    ):
+        pfbytes_file_reference_encoder = (
+            self.get_file_reference_encoder(base_dir, sub_dir, use_absolute_path=use_absolute_path)
+            if base_dir
+            else None
+        )
+        serialization_funcs = {
+            Image: partial(Image.serialize, **{"encoder": pfbytes_file_reference_encoder}),
+            Text: Text.serialize,
+        }
+        return _process_recursively(value, process_funcs=serialization_funcs, inplace=inplace)
+
+    @staticmethod
+    def convert_multimedia_data_to_base64_dict(value: Any):
+        def convert_pfbytes_to_base64_dict(obj: PFBytes):
+            return {"type": "image_url", "image_url": {"url": obj.to_base64(with_type=True)}}
+
+        to_base64_funcs = {PFBytes: convert_pfbytes_to_base64_dict}
+        return _process_recursively(value, process_funcs=to_base64_funcs)
+
+
+# TODO：Runtime relies on these old interfaces and will be removed in the future.
+def persist_multimedia_data(
+    value: Any,
+    base_dir: Path,
+    sub_dir: Path = None,
+    use_absolute_path=False,
+    multimedia_processor: MultimediaProcessor = None,
+):
+    if multimedia_processor:
+        return multimedia_processor.persist_multimedia_data(
+            value, base_dir, sub_dir, use_absolute_path=use_absolute_path
+        )
+    return BasicMultimediaProcessor().persist_multimedia_data(
+        value, base_dir, sub_dir, use_absolute_path=use_absolute_path
+    )
+
+
+def load_multimedia_data_recursively(value: Any, multimedia_processor: MultimediaProcessor = None):
+    if multimedia_processor:
+        return multimedia_processor.load_multimedia_data_recursively(value)
+    return BasicMultimediaProcessor().load_multimedia_data_recursively(value)
+
+
+def resolve_multimedia_data_recursively(input_dir: Path, value: Any, multimedia_processor: MultimediaProcessor = None):
+    if multimedia_processor:
+        return multimedia_processor.resolve_multimedia_data_recursively(input_dir, value)
+    return BasicMultimediaProcessor().resolve_multimedia_data_recursively(input_dir, value)
diff --git a/src/promptflow-core/promptflow/_utils/process_utils.py b/src/promptflow-core/promptflow/_utils/process_utils.py
new file mode 100644
index 00000000000..d4c4bd35eaa
--- /dev/null
+++ b/src/promptflow-core/promptflow/_utils/process_utils.py
@@ -0,0 +1,87 @@
+# ---------------------------------------------------------
+# Copyright (c) Microsoft Corporation. All rights reserved.
+# ---------------------------------------------------------
+
+import logging
+import os
+import signal
+
+import psutil
+
+from promptflow._utils.logger_utils import bulk_logger
+
+
+def block_terminate_signal_to_parent():
+    """
+    In uvicorn app, the main process listens for requests and handles graceful shutdowns through
+    signal listeners set up at initialization. These listeners use a file descriptor for event notifications.
+
+    However, when a child process is forked within the application, it inherits this file descriptor,
+    leading to an issue where signals sent to terminate the child process are also intercepted by the main process,
+    causing an unintended shutdown of the entire application.
+
+    To avoid this, we should return the default behavior of signal handlers for child process and call
+    signal.set_wakeup_fd(-1) in the child process to prevent it from using the parent's file descriptor
+    and avoiding unintended shutdowns of the main process.
+
+    References: https://github.com/tiangolo/fastapi/discussions/7442
+    """
+    signal.set_wakeup_fd(-1)
+
+    signal.signal(signal.SIGTERM, signal.SIG_DFL)
+    signal.signal(signal.SIGINT, signal.SIG_DFL)
+
+
+def get_available_max_worker_count(logger: logging.Logger = bulk_logger):
+    """
+    When creating processes using the spawn method, it consumes certain resources.
+    So we can use this method to determine how many workers can be maximally created.
+    """
+    pid = os.getpid()
+    mem_info = psutil.virtual_memory()
+    available_memory = mem_info.available / (1024 * 1024)  # in MB
+    process = psutil.Process(pid)
+    process_memory_info = process.memory_info()
+    process_memory = process_memory_info.rss / (1024 * 1024)  # in MB
+    estimated_available_worker_count = int(available_memory // process_memory)
+    if estimated_available_worker_count < 1:
+        # TODO: For the case of vector db, Optimize execution logic
+        # 1. Let the main process not consume memory because it does not actually invoke
+        # 2. When the degree of parallelism is 1, main process executes the task directly
+        #    and not create the child process
+        logger.warning(
+            f"Current system's available memory is {available_memory}MB, less than the memory "
+            f"{process_memory}MB required by the process. The maximum available worker count is 1."
+        )
+        estimated_available_worker_count = 1
+    else:
+        logger.info(
+            f"Current system's available memory is {available_memory}MB, "
+            f"memory consumption of current process is {process_memory}MB, "
+            f"estimated available worker count is {available_memory}/{process_memory} "
+            f"= {estimated_available_worker_count}"
+        )
+    return estimated_available_worker_count
+
+
+def log_errors_from_file(log_path):
+    try:
+        with open(log_path, "r") as f:
+            error_logs = "".join(f.readlines())
+            bulk_logger.error(error_logs)
+        return True
+    except FileNotFoundError:
+        return False
+
+
+def get_subprocess_log_path(index):
+    from promptflow.executor._process_manager import ProcessPoolConstants
+
+    logName_i = "{}_{}.log".format(ProcessPoolConstants.PROCESS_LOG_NAME, index)
+    return ProcessPoolConstants.PROCESS_LOG_PATH / logName_i
+
+
+def get_manager_process_log_path():
+    from promptflow.executor._process_manager import ProcessPoolConstants
+
+    return ProcessPoolConstants.PROCESS_LOG_PATH / ProcessPoolConstants.MANAGER_PROCESS_LOG_NAME
diff --git a/src/promptflow/promptflow/_utils/retry_utils.py b/src/promptflow-core/promptflow/_utils/retry_utils.py
similarity index 100%
rename from src/promptflow/promptflow/_utils/retry_utils.py
rename to src/promptflow-core/promptflow/_utils/retry_utils.py
diff --git a/src/promptflow/promptflow/_utils/run_tracker_utils.py b/src/promptflow-core/promptflow/_utils/run_tracker_utils.py
similarity index 92%
rename from src/promptflow/promptflow/_utils/run_tracker_utils.py
rename to src/promptflow-core/promptflow/_utils/run_tracker_utils.py
index 0a846555eef..1f44535db36 100644
--- a/src/promptflow/promptflow/_utils/run_tracker_utils.py
+++ b/src/promptflow-core/promptflow/_utils/run_tracker_utils.py
@@ -3,7 +3,7 @@
 # ---------------------------------------------------------
 from copy import deepcopy
 
-from promptflow._core.generator_proxy import GeneratorProxy
+from promptflow.tracing.contracts.generator_proxy import GeneratorProxy
 
 
 def _deep_copy_and_extract_items_from_generator_proxy(value: object) -> object:
diff --git a/src/promptflow/promptflow/_utils/thread_utils.py b/src/promptflow-core/promptflow/_utils/thread_utils.py
similarity index 100%
rename from src/promptflow/promptflow/_utils/thread_utils.py
rename to src/promptflow-core/promptflow/_utils/thread_utils.py
diff --git a/src/promptflow/promptflow/_utils/tool_utils.py b/src/promptflow-core/promptflow/_utils/tool_utils.py
similarity index 94%
rename from src/promptflow/promptflow/_utils/tool_utils.py
rename to src/promptflow-core/promptflow/_utils/tool_utils.py
index 64467277db6..9e02e5cabdc 100644
--- a/src/promptflow/promptflow/_utils/tool_utils.py
+++ b/src/promptflow-core/promptflow/_utils/tool_utils.py
@@ -8,12 +8,14 @@
 import re
 from dataclasses import asdict, fields, is_dataclass
 from enum import Enum, EnumMeta
+from pathlib import Path
 from typing import Any, Callable, Dict, List, Union, get_args, get_origin
 
 from jinja2 import Environment, meta
 
 from promptflow._constants import PF_MAIN_MODULE_NAME
 from promptflow._core._errors import DuplicateToolMappingError
+from promptflow._utils.context_utils import _change_working_dir
 from promptflow._utils.utils import is_json_serializable
 from promptflow.exceptions import ErrorTarget, UserErrorException
 
@@ -279,8 +281,8 @@ def validate_dynamic_list_func_response_type(response: Any, f: str):
 def validate_tool_func_result(func_call_scenario: str, result):
     if func_call_scenario not in list(ToolFuncCallScenario):
         raise RetrieveToolFuncResultValidationError(
-                f"Invalid tool func call scenario: {func_call_scenario}. "
-                f"Available scenarios are {list(ToolFuncCallScenario)}"
+            f"Invalid tool func call scenario: {func_call_scenario}. "
+            f"Available scenarios are {list(ToolFuncCallScenario)}"
         )
     if func_call_scenario == ToolFuncCallScenario.REVERSE_GENERATED_BY:
         if not isinstance(result, Dict):
@@ -322,11 +324,20 @@ def append_workspace_triple_to_func_input_params(
 def load_function_from_function_path(func_path: str):
     """Load a function from a function path.
 
-    The function path should be in the format of "module_name.function_name".
+    If function is in an installed package, the function path should be in the format of "module_name.function_name".
+    If function is in a script, the function path should be in the format of "function_path:function_name".
     """
     try:
-        module_name, func_name = func_path.rsplit(".", 1)
-        module = importlib.import_module(module_name)
+        if ":" in func_path:
+            script_path, func_name = func_path.rsplit(":", 1)
+            script_name = Path(script_path).stem
+            with _change_working_dir(Path(script_path).parent):
+                spec = importlib.util.spec_from_file_location(script_name, script_path)
+                module = importlib.util.module_from_spec(spec)
+                spec.loader.exec_module(module)
+        else:
+            module_name, func_name = func_path.rsplit(".", 1)
+            module = importlib.import_module(module_name)
         f = getattr(module, func_name)
         if callable(f):
             return f
@@ -437,7 +448,7 @@ def _get_function_path(function):
     elif isinstance(function, Callable):
         func = function
         if function.__module__ == PF_MAIN_MODULE_NAME:
-            func_path = function.__name__
+            func_path = f"{inspect.getfile(function)}:{function.__name__}"
         else:
             func_path = f"{function.__module__}.{function.__name__}"
     else:
diff --git a/src/promptflow-core/promptflow/_utils/user_agent_utils.py b/src/promptflow-core/promptflow/_utils/user_agent_utils.py
new file mode 100644
index 00000000000..0a3a9ea744a
--- /dev/null
+++ b/src/promptflow-core/promptflow/_utils/user_agent_utils.py
@@ -0,0 +1,69 @@
+import os
+from typing import Optional
+
+from promptflow._constants import PF_USER_AGENT, USER_AGENT
+from promptflow.core._version import __version__
+from promptflow.tracing._operation_context import OperationContext
+
+
+class ClientUserAgentUtil:
+    """SDK/CLI side user agent utilities."""
+
+    @classmethod
+    def _get_context(cls):
+        return OperationContext.get_instance()
+
+    @classmethod
+    def get_user_agent(cls):
+        context = cls._get_context()
+        # directly get from context since client side won't need promptflow/xxx.
+        return context.get(OperationContext.USER_AGENT_KEY, "").strip()
+
+    @classmethod
+    def append_user_agent(cls, user_agent: Optional[str]):
+        if not user_agent:
+            return
+        context = cls._get_context()
+        context.append_user_agent(user_agent)
+
+    @classmethod
+    def update_user_agent_from_env_var(cls):
+        # this is for backward compatibility: we should use PF_USER_AGENT in newer versions.
+        for env_name in [USER_AGENT, PF_USER_AGENT]:
+            if env_name in os.environ:
+                cls.append_user_agent(os.environ[env_name])
+
+    @classmethod
+    def update_user_agent_from_config(cls):
+        """Update user agent from config. 1p customer will set it. We'll add PFCustomer_ as prefix."""
+        from promptflow._sdk._configuration import Configuration
+
+        config = Configuration.get_instance()
+        user_agent = config.get_user_agent()
+        if user_agent:
+            cls.append_user_agent(user_agent)
+
+
+def setup_user_agent_to_operation_context(user_agent):
+    """Setup user agent to OperationContext.
+    For calls from extension, ua will be like: prompt-flow-extension/ promptflow-cli/ promptflow-sdk/
+    For calls from CLI, ua will be like: promptflow-cli/ promptflow-sdk/
+    For calls from SDK, ua will be like: promptflow-sdk/
+    For 1p customer call which set user agent in config, ua will be like: PFCustomer_XXX/
+    For serving with promptflow-core only env, ua will be like: promptflow-local-serving/ promptflow-core/
+    """
+    # add user added UA after SDK/CLI
+    ClientUserAgentUtil.append_user_agent(user_agent)
+    ClientUserAgentUtil.update_user_agent_from_env_var()
+    ClientUserAgentUtil.update_user_agent_from_config()
+    return ClientUserAgentUtil.get_user_agent()
+
+
+def append_promptflow_package_ua(operation_context: OperationContext):
+    try:
+        from promptflow._version import VERSION as PF_VERSION
+
+        operation_context.append_user_agent(f"promptflow/{PF_VERSION}")
+    except ImportError:
+        pass
+    operation_context.append_user_agent(f"promptflow-core/{__version__}")
diff --git a/src/promptflow/promptflow/_utils/utils.py b/src/promptflow-core/promptflow/_utils/utils.py
similarity index 78%
rename from src/promptflow/promptflow/_utils/utils.py
rename to src/promptflow-core/promptflow/_utils/utils.py
index 2c184996669..7af01b61774 100644
--- a/src/promptflow/promptflow/_utils/utils.py
+++ b/src/promptflow-core/promptflow/_utils/utils.py
@@ -20,7 +20,8 @@
 from pathlib import Path
 from typing import Any, Dict, Iterable, Iterator, List, Optional, TypeVar, Union
 
-from promptflow._constants import DEFAULT_ENCODING
+from promptflow._constants import DEFAULT_ENCODING, PF_LONG_RUNNING_LOGGING_INTERVAL
+from promptflow._utils.logger_utils import bulk_logger
 from promptflow.contracts.multimedia import PFBytes
 from promptflow.contracts.types import AssistantDefinition
 
@@ -150,33 +151,35 @@ def count_and_log_progress(
 
 def log_progress(
     run_start_time: datetime,
-    logger: logging.Logger,
-    count: int,
     total_count: int,
+    current_count: int,
+    last_log_count: int,
+    logger: logging.Logger = bulk_logger,
     formatter="Finished {count} / {total_count} lines.",
-    *,
-    last_log_count: Optional[int] = None,
 ):
+    """Log progress of the current execution. Return the last_log_count for the next iteration."""
+
     # Calculate log_interval to determine when to log progress.
     # If total_count is less than 100, log every 10% of total_count; otherwise, log every 10 lines.
     log_interval = min(10, max(int(total_count / 10), 1))
 
-    # If last_log_count is not None, determine whether to log based on whether the difference
-    # between the current count and the previous count exceeds log_interval.
-    # Otherwise, decide based on whether the current count is evenly divisible by log_interval.
-    if last_log_count:
-        log_flag = (count - last_log_count) >= log_interval
-    else:
-        log_flag = count % log_interval == 0
-
-    if count > 0 and (log_flag or count == total_count):
-        average_execution_time = round((datetime.utcnow().timestamp() - run_start_time.timestamp()) / count, 2)
-        estimated_execution_time = round(average_execution_time * (total_count - count), 2)
-        logger.info(formatter.format(count=count, total_count=total_count))
+    # There are two situations that we will print the progress log:
+    # 1. The difference between current_count and last_log_count exceeds log_interval.
+    # 2. The current_count is evenly divisible by log_interval.
+    log_flag = (current_count - last_log_count) >= log_interval or (
+        current_count > last_log_count and current_count % log_interval == 0
+    )
+
+    if current_count > 0 and (log_flag or current_count == total_count):
+        average_execution_time = round((datetime.utcnow().timestamp() - run_start_time.timestamp()) / current_count, 2)
+        estimated_execution_time = round(average_execution_time * (total_count - current_count), 2)
+        logger.info(formatter.format(count=current_count, total_count=total_count))
         logger.info(
             f"Average execution time for completed lines: {average_execution_time} seconds. "
             f"Estimated time for incomplete lines: {estimated_execution_time} seconds."
         )
+        return current_count
+    return last_log_count
 
 
 def extract_user_frame_summaries(frame_summaries: List[traceback.FrameSummary]):
@@ -324,7 +327,7 @@ def _sanitize_python_variable_name(name: str):
 
 def default_json_encoder(obj):
     if isinstance(obj, PFBytes):
-        return str(obj)
+        return obj.to_base64(with_type=True)
     if isinstance(obj, AssistantDefinition):
         return obj.serialize()
     else:
@@ -366,3 +369,68 @@ def copy_file_except(src_dir, dst_dir, exclude_file):
             src_file_path = os.path.join(root, file)
             dst_file_path = os.path.join(current_dst_dir, file)
             shutil.copy2(src_file_path, dst_file_path)
+
+
+def in_jupyter_notebook() -> bool:
+    """
+    Checks if user is using a Jupyter Notebook. This is necessary because logging is not allowed in
+    non-Jupyter contexts.
+
+    Adapted from https://stackoverflow.com/a/22424821
+    """
+    try:  # cspell:ignore ipython
+        from IPython import get_ipython
+
+        if "IPKernelApp" not in get_ipython().config:
+            return False
+    except ImportError:
+        return False
+    except AttributeError:
+        return False
+    return True
+
+
+def snake_to_camel(name):
+    return re.sub(r"(?:^|_)([a-z])", lambda x: x.group(1).upper(), name)
+
+
+def prepare_folder(path: Union[str, Path]) -> Path:
+    """Create folder if not exists and return the folder path."""
+    path = Path(path)
+    path.mkdir(parents=True, exist_ok=True)
+    return path
+
+
+def try_get_long_running_logging_interval(logger: logging.Logger, default_interval: int):
+    logging_interval_in_env = os.environ.get(PF_LONG_RUNNING_LOGGING_INTERVAL, None)
+    if logging_interval_in_env:
+        try:
+            value = int(logging_interval_in_env)
+            if value <= 0:
+                raise ValueError
+            logger.info(
+                f"Using value of {PF_LONG_RUNNING_LOGGING_INTERVAL} in environment variable as "
+                f"logging interval: {logging_interval_in_env}"
+            )
+            return value
+        except ValueError:
+            logger.warning(
+                f"Value of {PF_LONG_RUNNING_LOGGING_INTERVAL} in environment variable "
+                f"('{logging_interval_in_env}') is invalid, use default value {default_interval}"
+            )
+            return default_interval
+    # If the environment variable is not set, return none to disable the long running logging
+    return None
+
+
+def strip_quotation(value):
+    """
+    To avoid escaping chars in command args, args will be surrounded in quotas.
+    Need to remove the pair of quotation first.
+    """
+    if value.startswith('"') and value.endswith('"'):
+        return value[1:-1]
+    elif value.startswith("'") and value.endswith("'"):
+        return value[1:-1]
+    else:
+        return value
diff --git a/src/promptflow/promptflow/_utils/version_hint_utils.py b/src/promptflow-core/promptflow/_utils/version_hint_utils.py
similarity index 100%
rename from src/promptflow/promptflow/_utils/version_hint_utils.py
rename to src/promptflow-core/promptflow/_utils/version_hint_utils.py
diff --git a/src/promptflow/promptflow/_utils/yaml_utils.py b/src/promptflow-core/promptflow/_utils/yaml_utils.py
similarity index 94%
rename from src/promptflow/promptflow/_utils/yaml_utils.py
rename to src/promptflow-core/promptflow/_utils/yaml_utils.py
index 36b1bc86586..3380ab90d11 100644
--- a/src/promptflow/promptflow/_utils/yaml_utils.py
+++ b/src/promptflow-core/promptflow/_utils/yaml_utils.py
@@ -6,6 +6,7 @@
 
 from promptflow._constants import DEFAULT_ENCODING
 from promptflow._utils._errors import YamlParseError
+from promptflow.exceptions import UserErrorException
 
 
 def load_yaml(source: Optional[Union[AnyStr, PathLike, IO]]) -> Dict:
@@ -58,8 +59,8 @@ def load_yaml(source: Optional[Union[AnyStr, PathLike, IO]]) -> Dict:
         try:
             input = open(source, "r", encoding=DEFAULT_ENCODING)
         except OSError:  # FileNotFoundError introduced in Python 3
-            msg = "No such file or directory: {}"
-            raise FileNotFoundError(msg.format(source))
+            e = FileNotFoundError("No such file or directory: {}".format(source))
+            raise UserErrorException(str(e), privacy_info=[str(source)]) from e
     # input should now be a readable file or stream. Parse it.
     try:
         yaml = YAML()
diff --git a/src/promptflow/promptflow/connections/__init__.py b/src/promptflow-core/promptflow/connections/__init__.py
similarity index 92%
rename from src/promptflow/promptflow/connections/__init__.py
rename to src/promptflow-core/promptflow/connections/__init__.py
index c9d5b0466c2..70b29858f3a 100644
--- a/src/promptflow/promptflow/connections/__init__.py
+++ b/src/promptflow-core/promptflow/connections/__init__.py
@@ -4,7 +4,8 @@
 from dataclasses import dataclass, is_dataclass
 
 from promptflow._core.tools_manager import register_connections
-from promptflow._sdk.entities import (
+from promptflow.contracts.types import Secret
+from promptflow.core._connection import (
     AzureContentSafetyConnection,
     AzureOpenAIConnection,
     CognitiveSearchConnection,
@@ -14,9 +15,8 @@
     OpenAIConnection,
     SerpConnection,
     ServerlessConnection,
+    _Connection,
 )
-from promptflow._sdk.entities._connection import _Connection
-from promptflow.contracts.types import Secret
 
 
 @dataclass
diff --git a/src/promptflow/promptflow/executor/_service/__init__.py b/src/promptflow-core/promptflow/contracts/__init__.py
similarity index 100%
rename from src/promptflow/promptflow/executor/_service/__init__.py
rename to src/promptflow-core/promptflow/contracts/__init__.py
diff --git a/src/promptflow/promptflow/contracts/_errors.py b/src/promptflow-core/promptflow/contracts/_errors.py
similarity index 100%
rename from src/promptflow/promptflow/contracts/_errors.py
rename to src/promptflow-core/promptflow/contracts/_errors.py
diff --git a/src/promptflow/promptflow/contracts/_run_management.py b/src/promptflow-core/promptflow/contracts/_run_management.py
similarity index 100%
rename from src/promptflow/promptflow/contracts/_run_management.py
rename to src/promptflow-core/promptflow/contracts/_run_management.py
diff --git a/src/promptflow/promptflow/contracts/flow.py b/src/promptflow-core/promptflow/contracts/flow.py
similarity index 93%
rename from src/promptflow/promptflow/contracts/flow.py
rename to src/promptflow-core/promptflow/contracts/flow.py
index 29f2389c021..9adeba1f89d 100644
--- a/src/promptflow/promptflow/contracts/flow.py
+++ b/src/promptflow-core/promptflow/contracts/flow.py
@@ -10,14 +10,13 @@
 from pathlib import Path
 from typing import Any, Dict, List, Optional
 
+from promptflow._constants import DEFAULT_ENCODING, LANGUAGE_KEY, FlowLanguage, MessageFormatType
+from promptflow._utils.utils import _match_reference, _sanitize_python_variable_name, try_import
 from promptflow._utils.yaml_utils import load_yaml
 from promptflow.contracts._errors import FlowDefinitionError
 from promptflow.exceptions import ErrorTarget
+from promptflow.tracing._utils import serialize
 
-from .._constants import LANGUAGE_KEY, FlowLanguage, MessageFormatType
-from .._sdk._constants import DEFAULT_ENCODING
-from .._utils.dataclass_serializer import serialize
-from .._utils.utils import _match_reference, _sanitize_python_variable_name, try_import
 from ._errors import FailedToImportModule
 from .tool import ConnectionType, Tool, ToolType, ValueType
 
@@ -546,13 +545,21 @@ def get_environment_variables_with_overrides(
                 environment_variables[k] = v
         return environment_variables
 
-    def get_connection_names(self):
-        """Return connection names."""
-        connection_names = set({})
+    def get_connection_names(self, environment_variables_overrides: Dict[str, str] = None):
+        """Return connection names with environment variables overrides.
+        Note: only environment variables exist in flow.environment_variables will be considered.
 
+        :param environment_variables_overrides: used to override flow's environment variables.
+        :return: connection names used in this flow.
+        """
+        environment_variables_overrides = environment_variables_overrides or {}
+        connection_names = set({})
         # Add connection names from environment variable reference
         if self.environment_variables:
             for k, v in self.environment_variables.items():
+                if k in environment_variables_overrides:
+                    # Apply environment variables overrides
+                    v = environment_variables_overrides[k]
                 if not isinstance(v, str) or not v.startswith("${"):
                     continue
                 connection_name, _ = _match_reference(v)
@@ -731,6 +738,15 @@ def load_env_variables(
             environment_variables_overrides=environment_variables_overrides
         )
 
+    @staticmethod
+    def load_message_format_from_yaml(flow_file: Path, working_dir=None) -> str:
+        if flow_file and Path(flow_file).suffix.lower() in [".yaml", ".yml"]:
+            flow_file = working_dir / flow_file if working_dir else flow_file
+            with open(flow_file, "r", encoding="utf-8") as fin:
+                flow_dag = load_yaml(fin)
+            return flow_dag.get("message_format", MessageFormatType.BASIC)
+        return MessageFormatType.BASIC
+
     def _set_tool_loader(self, working_dir):
         package_tool_keys = [node.source.tool for node in self.nodes if node.source and node.source.tool]
         from promptflow._core.tools_manager import ToolLoader
@@ -843,9 +859,19 @@ def _get_connection_name_from_tool(self, tool: Tool, node: Node):
                 connection_names[k] = input_assignment.value
         return connection_names
 
-    def get_connection_names(self):
+    @classmethod
+    def _get_connection_inputs_from_tool(cls, tool: Tool) -> list:
+        """Return tool's connection inputs."""
+        connection_inputs = []
+        for k, v in tool.inputs.items():
+            input_type = [typ.value if isinstance(typ, Enum) else typ for typ in v.type]
+            if all(ConnectionType.is_connection_class_name(t) for t in input_type):
+                connection_inputs.append(k)
+        return connection_inputs
+
+    def get_connection_names(self, environment_variables_overrides: Dict[str, str] = None):
         """Return connection names."""
-        connection_names = super().get_connection_names()
+        connection_names = super().get_connection_names(environment_variables_overrides=environment_variables_overrides)
         nodes = [
             self._apply_default_node_variant(node, self.node_variants) if node.use_variants else node
             for node in self.nodes
@@ -871,7 +897,11 @@ def get_connection_names(self):
         return set({item for item in connection_names if item})
 
     def get_connection_input_names_for_node(self, node_name):
-        """Return connection input names."""
+        """Return connection input names for a node, will also return node connection inputs without assignment.
+
+        :param node_name: node name
+        """
+
         node = self.get_node(node_name)
         if node and node.use_variants:
             node = self._apply_default_node_variant(node, self.node_variants)
@@ -880,7 +910,7 @@ def get_connection_input_names_for_node(self, node_name):
             return []
         tool = self.get_tool(node.tool) or self._tool_loader.load_tool_for_node(node)
         if tool:
-            return list(self._get_connection_name_from_tool(tool, node).keys())
+            return self._get_connection_inputs_from_tool(tool)
         return []
 
     def _replace_with_variant(self, variant_node: Node, variant_tools: list):
@@ -907,10 +937,14 @@ class EagerFlow(FlowBase):
     :type program_language: str
     :param environment_variables: The default environment variables of the flow.
     :type environment_variables: Dict[str, object]
+    :param message_format: The message format type of the flow to represent different multimedia contracts.
+    :type message_format: str
     """
 
     program_language: str = FlowLanguage.Python
     environment_variables: Dict[str, object] = None
+    # eager flow does not support multimedia contract currently, it is set to basic by default.
+    message_format: str = MessageFormatType.BASIC
 
     @staticmethod
     def deserialize(data: dict) -> "EagerFlow":
diff --git a/src/promptflow/promptflow/contracts/multimedia.py b/src/promptflow-core/promptflow/contracts/multimedia.py
similarity index 70%
rename from src/promptflow/promptflow/contracts/multimedia.py
rename to src/promptflow-core/promptflow/contracts/multimedia.py
index 6ac0559fb95..c33511d106e 100644
--- a/src/promptflow/promptflow/contracts/multimedia.py
+++ b/src/promptflow-core/promptflow/contracts/multimedia.py
@@ -1,8 +1,9 @@
 import base64
-import filetype
 import hashlib
 from typing import Callable, Optional
 
+import filetype
+
 
 class PFBytes(bytes):
     """This class is used to represent a bytes object in PromptFlow.
@@ -29,13 +30,11 @@ def __init__(self, value: bytes, mime_type: str, source_url: Optional[str] = Non
     def source_url(self):
         return self._source_url
 
-    def to_base64(self, with_type: bool = False, dict_type: bool = False):
+    def to_base64(self, with_type: bool = False):
         """Returns the base64 representation of the PFBytes."""
 
         if with_type:
-            if not dict_type:
-                return f"data:{self._mime_type};base64," + base64.b64encode(self).decode("utf-8")
-            return {f"data:{self._mime_type};base64": base64.b64encode(self).decode("utf-8")}
+            return f"data:{self._mime_type};base64," + base64.b64encode(self).decode("utf-8")
         return base64.b64encode(self).decode("utf-8")
 
 
@@ -63,3 +62,28 @@ def serialize(self, encoder: Callable = None):
         if encoder is None:
             return self.__str__()
         return encoder(self)
+
+
+class Text(str):
+    def __new__(cls, value: str, annotations: list = None):
+        obj = str.__new__(cls, value)
+        obj._annotations = annotations
+        return obj
+
+    @classmethod
+    def deserialize(cls, data: dict):
+        """Deserialize the dictionary to the text object."""
+
+        text = data.get("text", "")
+        if isinstance(text, dict):
+            return cls(value=text.get("value", ""), annotations=text.get("annotations", []))
+        else:
+            return cls(value=text)
+
+    def serialize(self):
+        """Serialize the text to a dictionary."""
+
+        if self._annotations is None:
+            return {"type": "text", "text": self}
+        else:
+            return {"type": "text", "text": {"value": self, "annotations": self._annotations}}
diff --git a/src/promptflow/promptflow/contracts/run_info.py b/src/promptflow-core/promptflow/contracts/run_info.py
similarity index 90%
rename from src/promptflow/promptflow/contracts/run_info.py
rename to src/promptflow-core/promptflow/contracts/run_info.py
index d3522168f98..df0223731bf 100644
--- a/src/promptflow/promptflow/contracts/run_info.py
+++ b/src/promptflow-core/promptflow/contracts/run_info.py
@@ -9,6 +9,8 @@
 
 from dateutil import parser
 
+from .._constants import MessageFormatType
+
 
 class Status(Enum):
     """An enumeration class for different types of run status."""
@@ -66,8 +68,6 @@ class RunInfo:
     :type index: Optional[int]
     :param api_calls: API calls made during the run
     :type api_calls: Optional[List[Dict[str, Any]]]
-    :param variant_id: Variant id of the run
-    :type variant_id: Optional[str]
     :param cached_run_id: Cached run id
     :type cached_run_id: Optional[str]
     :param cached_flow_run_id: Cached flow run id
@@ -78,6 +78,8 @@ class RunInfo:
     :type system_metrics: Optional[Dict[str, Any]]
     :param result: Result of the run
     :type result: Optional[object]
+    :param message_format: The message format type to represent different multimedia contracts.
+    :type message_format: str
     """
 
     node: str
@@ -93,16 +95,18 @@ class RunInfo:
     end_time: datetime
     index: Optional[int] = None
     api_calls: Optional[List[Dict[str, Any]]] = None
-    variant_id: str = ""
     cached_run_id: str = None
     cached_flow_run_id: str = None
     logs: Optional[Dict[str, str]] = None
     system_metrics: Dict[str, Any] = None
     result: object = None
+    message_format: str = MessageFormatType.BASIC
 
     @staticmethod
     def deserialize(data: dict) -> "RunInfo":
         """Deserialize the RunInfo from a dict."""
+        start_time = data.get("start_time", None)
+        end_time = data.get("end_time", None)
         run_info = RunInfo(
             node=data.get("node"),
             flow_run_id=data.get("flow_run_id"),
@@ -113,16 +117,16 @@ def deserialize(data: dict) -> "RunInfo":
             metrics=data.get("metrics", None),
             error=data.get("error", None),
             parent_run_id=data.get("parent_run_id", None),
-            start_time=parser.parse(data.get("start_time")).replace(tzinfo=None),
-            end_time=parser.parse(data.get("end_time")).replace(tzinfo=None),
+            start_time=parser.parse(start_time).replace(tzinfo=None) if start_time else None,
+            end_time=parser.parse(end_time).replace(tzinfo=None) if end_time else None,
             index=data.get("index", None),
             api_calls=data.get("api_calls", None),
-            variant_id=data.get("variant_id", ""),
             cached_run_id=data.get("cached_run_id", None),
             cached_flow_run_id=data.get("cached_flow_run_id", None),
             logs=data.get("logs", None),
             system_metrics=data.get("system_metrics", None),
             result=data.get("result", None),
+            message_format=data.get("message_format", MessageFormatType.BASIC),
         )
         return run_info
 
@@ -161,8 +165,6 @@ class FlowRunInfo:
     :type index: Optional[int]
     :param api_calls: API calls made during the flow run
     :type api_calls: Optional[List[Dict[str, Any]]]
-    :param variant_id: Variant id of the flow run
-    :type variant_id: Optional[str]
     :param name: Name of the flow run
     :type name: Optional[str]
     :param description: Description of the flow run
@@ -175,6 +177,8 @@ class FlowRunInfo:
     :type result: Optional[object]
     :param upload_metrics: Flag indicating whether to upload metrics for the flow run
     :type upload_metrics: Optional[bool]
+    :param message_format: The message format type to represent different multimedia contracts.
+    :type message_format: str
     """
 
     run_id: str
@@ -192,13 +196,14 @@ class FlowRunInfo:
     end_time: datetime
     index: Optional[int] = None
     api_calls: Optional[List[Dict[str, Any]]] = None
-    variant_id: str = ""
     name: str = ""
     description: str = ""
     tags: Optional[Mapping[str, str]] = None
     system_metrics: Dict[str, Any] = None
     result: object = None
     upload_metrics: bool = False  # only set as true for root runs in bulk test mode and evaluation mode
+    otel_trace_id: Optional[str] = ""
+    message_format: str = MessageFormatType.BASIC
 
     @staticmethod
     def deserialize(data: dict) -> "FlowRunInfo":
@@ -219,13 +224,13 @@ def deserialize(data: dict) -> "FlowRunInfo":
             end_time=parser.parse(data.get("end_time")).replace(tzinfo=None),
             index=data.get("index", None),
             api_calls=data.get("api_calls", None),
-            variant_id=data.get("variant_id", ""),
             name=data.get("name", ""),
             description=data.get("description", ""),
             tags=data.get("tags", None),
             system_metrics=data.get("system_metrics", None),
             result=data.get("result", None),
             upload_metrics=data.get("upload_metrics", False),
+            message_format=data.get("message_format", MessageFormatType.BASIC),
         )
         return flow_run_info
 
diff --git a/src/promptflow/promptflow/contracts/run_mode.py b/src/promptflow-core/promptflow/contracts/run_mode.py
similarity index 100%
rename from src/promptflow/promptflow/contracts/run_mode.py
rename to src/promptflow-core/promptflow/contracts/run_mode.py
diff --git a/src/promptflow/promptflow/contracts/tool.py b/src/promptflow-core/promptflow/contracts/tool.py
similarity index 97%
rename from src/promptflow/promptflow/contracts/tool.py
rename to src/promptflow-core/promptflow/contracts/tool.py
index deeeb350069..42ad59fdc02 100644
--- a/src/promptflow/promptflow/contracts/tool.py
+++ b/src/promptflow-core/promptflow/contracts/tool.py
@@ -8,7 +8,7 @@
 from enum import Enum
 from typing import Any, Dict, List, Optional, Type, TypeVar
 
-from promptflow._constants import CONNECTION_NAME_PROPERTY
+from promptflow._constants import CONNECTION_NAME_PROPERTY, CONNECTION_DATA_CLASS_KEY
 
 from .multimedia import Image
 from .types import AssistantDefinition, FilePath, PromptTemplate, Secret
@@ -190,6 +190,11 @@ def is_connection_value(val: Any) -> bool:
         from promptflow._core.tools_manager import connections
 
         val = type(val) if not isinstance(val, type) else val
+        if hasattr(val, CONNECTION_DATA_CLASS_KEY):
+            # Get the data class for sdk connection object
+            data_class = getattr(val, CONNECTION_DATA_CLASS_KEY)
+            logger.debug(f"val {val} has DATA_CLASS key, get the data plane class {data_class}.")
+            val = data_class
         return val in connections.values() or ConnectionType.is_custom_strong_type(val)
 
     @staticmethod
diff --git a/src/promptflow/promptflow/contracts/types.py b/src/promptflow-core/promptflow/contracts/types.py
similarity index 100%
rename from src/promptflow/promptflow/contracts/types.py
rename to src/promptflow-core/promptflow/contracts/types.py
diff --git a/src/promptflow-core/promptflow/core/__init__.py b/src/promptflow-core/promptflow/core/__init__.py
new file mode 100644
index 00000000000..803a98fe719
--- /dev/null
+++ b/src/promptflow-core/promptflow/core/__init__.py
@@ -0,0 +1,16 @@
+# ---------------------------------------------------------
+# Copyright (c) Microsoft Corporation. All rights reserved.
+# ---------------------------------------------------------
+__path__ = __import__("pkgutil").extend_path(__path__, __name__)  # type: ignore
+
+from promptflow._core.metric_logger import log_metric
+from ._version import __version__
+
+# flake8: noqa
+from promptflow._core.tool import ToolProvider, tool
+from promptflow.core._flow import AsyncFlow, Flow
+
+# backward compatibility
+log_flow_metric = log_metric
+
+__all__ = ["log_metric", "ToolProvider", "tool", "Flow", "AsyncFlow", "__version__"]
diff --git a/src/promptflow/promptflow/_sdk/entities/_connection.py b/src/promptflow-core/promptflow/core/_connection.py
similarity index 62%
rename from src/promptflow/promptflow/_sdk/entities/_connection.py
rename to src/promptflow-core/promptflow/core/_connection.py
index 93dbabc11a5..3d980e6f21b 100644
--- a/src/promptflow/promptflow/_sdk/entities/_connection.py
+++ b/src/promptflow-core/promptflow/core/_connection.py
@@ -1,64 +1,25 @@
 # ---------------------------------------------------------
 # Copyright (c) Microsoft Corporation. All rights reserved.
 # ---------------------------------------------------------
-import abc
 import importlib
-import json
 import os
 import types
-from os import PathLike
-from pathlib import Path
-from typing import Dict, List, Union
-
-from marshmallow import INCLUDE
+from typing import Dict, List
 
+from promptflow._constants import CONNECTION_SCRUBBED_VALUE as SCRUBBED_VALUE, CONNECTION_SCRUBBED_VALUE_NO_CHANGE
+from promptflow._constants import ConnectionAuthMode, ConnectionType, CustomStrongTypeConnectionConfigs
 from promptflow._core.token_provider import AzureTokenProvider
-from promptflow._sdk._constants import (
-    BASE_PATH_CONTEXT_KEY,
-    PARAMS_OVERRIDE_KEY,
-    SCHEMA_KEYS_CONTEXT_CONFIG_KEY,
-    SCHEMA_KEYS_CONTEXT_SECRET_KEY,
-    SCRUBBED_VALUE,
-    SCRUBBED_VALUE_NO_CHANGE,
-    SCRUBBED_VALUE_USER_INPUT,
-    ConfigValueType,
-    ConnectionAuthMode,
-    ConnectionType,
-    CustomStrongTypeConnectionConfigs,
-)
-from promptflow._sdk._errors import RequiredEnvironmentVariablesNotSetError, SDKError, UnsecureConnectionError
-from promptflow._sdk._orm.connection import Connection as ORMConnection
-from promptflow._sdk._utils import (
-    decrypt_secret_value,
-    encrypt_secret_value,
-    find_type_in_override,
-    in_jupyter_notebook,
-    print_yellow_warning,
-    snake_to_camel,
-)
-from promptflow._sdk.entities._yaml_translatable import YAMLTranslatableMixin
-from promptflow._sdk.schemas._connection import (
-    AzureContentSafetyConnectionSchema,
-    AzureOpenAIConnectionSchema,
-    CognitiveSearchConnectionSchema,
-    CustomConnectionSchema,
-    CustomStrongTypeConnectionSchema,
-    FormRecognizerConnectionSchema,
-    OpenAIConnectionSchema,
-    QdrantConnectionSchema,
-    SerpConnectionSchema,
-    ServerlessConnectionSchema,
-    WeaviateConnectionSchema,
-)
 from promptflow._utils.logger_utils import LoggerFactory
+from promptflow._utils.utils import in_jupyter_notebook
 from promptflow.contracts.types import Secret
+from promptflow.core._errors import RequiredEnvironmentVariablesNotSetError
 from promptflow.exceptions import UserErrorException, ValidationException
 
 logger = LoggerFactory.get_logger(name=__name__)
 PROMPTFLOW_CONNECTIONS = "promptflow.connections"
 
 
-class _Connection(YAMLTranslatableMixin):
+class _Connection:
     """A connection entity that stores the connection information.
 
     :param name: Connection name
@@ -73,7 +34,8 @@ class _Connection(YAMLTranslatableMixin):
     :type secrets: Dict[str, str]
     """
 
-    TYPE = ConnectionType._NOT_SET
+    SUPPORTED_TYPES = {}
+    TYPE = ConnectionType._NOT_SET.value
 
     def __init__(
         self,
@@ -85,7 +47,7 @@ def __init__(
     ):
         self.name = name
         self.type = self.TYPE
-        self.class_name = f"{self.TYPE.value}Connection"  # The type in executor connection dict
+        self.class_name = f"{self.TYPE}Connection"  # The type in executor connection dict
         self.configs = configs or {}
         self.module = module
         # Note the connection secrets value behaviors:
@@ -106,17 +68,6 @@ def __init__(
         if print_as_yaml:
             self.print_as_yaml = True
 
-    @classmethod
-    def _casting_type(cls, typ):
-        type_dict = {
-            "azure_open_ai": ConnectionType.AZURE_OPEN_AI.value,
-            "open_ai": ConnectionType.OPEN_AI.value,
-        }
-
-        if typ in type_dict:
-            return type_dict.get(typ)
-        return snake_to_camel(typ)
-
     def keys(self) -> List:
         """Return keys of the connection properties."""
         return list(self.configs.keys()) + list(self.secrets.keys())
@@ -131,137 +82,6 @@ def __getitem__(self, item):
         # Cant't raise UserErrorException due to the code exit(1) of promptflow._cli._utils.py line 368.
         raise KeyError(f"Key {item!r} not found in connection {self.name!r}.")
 
-    @classmethod
-    def _is_scrubbed_value(cls, value):
-        """For scrubbed value, cli will get original for update, and prompt user to input for create."""
-        if value is None or not value:
-            return True
-        if all([v == "*" for v in value]):
-            return True
-        return value == SCRUBBED_VALUE_NO_CHANGE
-
-    @classmethod
-    def _is_user_input_value(cls, value):
-        """The value will prompt user to input in cli for both create and update."""
-        return value == SCRUBBED_VALUE_USER_INPUT
-
-    def _validate_and_encrypt_secrets(self):
-        encrypt_secrets = {}
-        invalid_secrets = []
-        for k, v in self.secrets.items():
-            # In sdk experience, if v is not scrubbed, use it.
-            # If v is scrubbed, try to use the value in _secrets.
-            # If v is <user-input>, raise error.
-            if self._is_scrubbed_value(v):
-                # Try to get the value not scrubbed.
-                v = self._secrets.get(k)
-            if self._is_scrubbed_value(v) or self._is_user_input_value(v):
-                # Can't find the original value or is <user-input>, raise error.
-                invalid_secrets.append(k)
-                continue
-            encrypt_secrets[k] = encrypt_secret_value(v)
-        if invalid_secrets:
-            raise ValidationException(
-                f"Connection {self.name!r} secrets {invalid_secrets} value invalid, please fill them."
-            )
-        return encrypt_secrets
-
-    @classmethod
-    def _load_from_dict(cls, data: Dict, context: Dict, additional_message: str = None, **kwargs):
-        schema_cls = cls._get_schema_cls()
-        try:
-            loaded_data = schema_cls(context=context).load(data, **kwargs)
-        except Exception as e:
-            raise SDKError(f"Load connection failed with {str(e)}. f{(additional_message or '')}.")
-        return cls(base_path=context[BASE_PATH_CONTEXT_KEY], **loaded_data)
-
-    def _to_dict(self) -> Dict:
-        schema_cls = self._get_schema_cls()
-        return schema_cls(context={BASE_PATH_CONTEXT_KEY: "./"}).dump(self)
-
-    @classmethod
-    # pylint: disable=unused-argument
-    def _resolve_cls_and_type(cls, data, params_override=None):
-        type_in_override = find_type_in_override(params_override)
-        type_str = type_in_override or data.get("type")
-        if type_str is None:
-            raise ValidationException("type is required for connection.")
-        type_str = cls._casting_type(type_str)
-        type_cls = _supported_types.get(type_str)
-        if type_cls is None:
-            raise ValidationException(
-                f"connection_type {type_str!r} is not supported. Supported types are: {list(_supported_types.keys())}"
-            )
-        return type_cls, type_str
-
-    @abc.abstractmethod
-    def _to_orm_object(self) -> ORMConnection:
-        pass
-
-    @classmethod
-    def _from_mt_rest_object(cls, mt_rest_obj) -> "_Connection":
-        type_cls, _ = cls._resolve_cls_and_type(data={"type": mt_rest_obj.connection_type})
-        obj = type_cls._from_mt_rest_object(mt_rest_obj)
-        return obj
-
-    @classmethod
-    def _from_orm_object_with_secrets(cls, orm_object: ORMConnection):
-        # !!! Attention !!!: Do not use this function to user facing api, use _from_orm_object to remove secrets.
-        type_cls, _ = cls._resolve_cls_and_type(data={"type": orm_object.connectionType})
-        obj = type_cls._from_orm_object_with_secrets(orm_object)
-        return obj
-
-    @classmethod
-    def _from_orm_object(cls, orm_object: ORMConnection):
-        """This function will create a connection object then scrub secrets."""
-        type_cls, _ = cls._resolve_cls_and_type(data={"type": orm_object.connectionType})
-        obj = type_cls._from_orm_object_with_secrets(orm_object)
-        # Note: we may can't get secret keys for custom connection from MT
-        obj.secrets = {k: SCRUBBED_VALUE for k in obj.secrets}
-        return obj
-
-    @classmethod
-    def _load(
-        cls,
-        data: Dict = None,
-        yaml_path: Union[PathLike, str] = None,
-        params_override: list = None,
-        **kwargs,
-    ) -> "_Connection":
-        """Load a job object from a yaml file.
-
-        :param cls: Indicates that this is a class method.
-        :type cls: class
-        :param data: Data Dictionary, defaults to None
-        :type data: Dict, optional
-        :param yaml_path: YAML Path, defaults to None
-        :type yaml_path: Union[PathLike, str], optional
-        :param params_override: Fields to overwrite on top of the yaml file.
-            Format is [{"field1": "value1"}, {"field2": "value2"}], defaults to None
-        :type params_override: List[Dict], optional
-        :param kwargs: A dictionary of additional configuration parameters.
-        :type kwargs: dict
-        :raises Exception: An exception
-        :return: Loaded job object.
-        :rtype: Job
-        """
-        data = data or {}
-        params_override = params_override or []
-        context = {
-            BASE_PATH_CONTEXT_KEY: Path(yaml_path).parent if yaml_path else Path("../../azure/_entities/"),
-            PARAMS_OVERRIDE_KEY: params_override,
-        }
-        connection_type, type_str = cls._resolve_cls_and_type(data, params_override)
-        connection = connection_type._load_from_dict(
-            data=data,
-            context=context,
-            unknown=INCLUDE,
-            additional_message=f"If you are trying to configure a job that is not of type {type_str}, please specify "
-            f"the correct connection type in the 'type' property.",
-            **kwargs,
-        )
-        return connection
-
     def _to_execution_connection_dict(self) -> dict:
         value = {**self.configs, **self.secrets}
         secret_keys = list(self.secrets.keys())
@@ -274,65 +94,36 @@ def _to_execution_connection_dict(self) -> dict:
 
     @classmethod
     def _from_execution_connection_dict(cls, name, data) -> "_Connection":
-        type_cls, _ = cls._resolve_cls_and_type(data={"type": data.get("type")[: -len("Connection")]})
+        type_str = data.get("type")[: -len("Connection")]
+        type_cls = cls.SUPPORTED_TYPES.get(type_str)
+        if type_cls is None:
+            raise ValidationException(
+                f"Connection type {type_str!r} is not supported. "
+                f"Supported types are: {list(cls.SUPPORTED_TYPES.keys())}"
+            )
         value_dict = data.get("value", {})
-        if type_cls == CustomConnection:
+        # Use class name instead of class here, because the class may be _sdk entity.
+        if type_cls.__name__ == "CustomConnection":
             secrets = {k: v for k, v in value_dict.items() if k in data.get("secret_keys", [])}
             configs = {k: v for k, v in value_dict.items() if k not in secrets}
-            return CustomConnection(name=name, configs=configs, secrets=secrets)
+            return type_cls(name=name, configs=configs, secrets=secrets)
         return type_cls(name=name, **value_dict)
 
+    @classmethod
+    def _is_scrubbed_value(cls, value):
+        """For scrubbed value, cli will get original for update, and prompt user to input for create."""
+        if value is None or not value:
+            return True
+        if all([v == "*" for v in value]):
+            return True
+        return value == CONNECTION_SCRUBBED_VALUE_NO_CHANGE
+
     def _get_scrubbed_secrets(self):
         """Return the scrubbed secrets of connection."""
         return {key: val for key, val in self.secrets.items() if self._is_scrubbed_value(val)}
 
 
 class _StrongTypeConnection(_Connection):
-    def _to_orm_object(self):
-        # Both keys & secrets will be stored in configs for strong type connection.
-        secrets = self._validate_and_encrypt_secrets()
-        return ORMConnection(
-            connectionName=self.name,
-            connectionType=self.type.value,
-            configs=json.dumps({**self.configs, **secrets}),
-            customConfigs="{}",
-            expiryTime=self.expiry_time,
-            createdDate=self.created_date,
-            lastModifiedDate=self.last_modified_date,
-        )
-
-    @classmethod
-    def _from_orm_object_with_secrets(cls, orm_object: ORMConnection):
-        # !!! Attention !!!: Do not use this function to user facing api, use _from_orm_object to remove secrets.
-        # Both keys & secrets will be stored in configs for strong type connection.
-        type_cls, _ = cls._resolve_cls_and_type(data={"type": orm_object.connectionType})
-        obj = type_cls(
-            name=orm_object.connectionName,
-            expiry_time=orm_object.expiryTime,
-            created_date=orm_object.createdDate,
-            last_modified_date=orm_object.lastModifiedDate,
-            **json.loads(orm_object.configs),
-        )
-        obj.secrets = {k: decrypt_secret_value(obj.name, v) for k, v in obj.secrets.items()}
-        obj._secrets = {**obj.secrets}
-        return obj
-
-    @classmethod
-    def _from_mt_rest_object(cls, mt_rest_obj):
-        type_cls, _ = cls._resolve_cls_and_type(data={"type": mt_rest_obj.connection_type})
-        configs = mt_rest_obj.configs or {}
-        # For not ARM strong type connection, e.g. OpenAI, api_key will not be returned, but is required argument.
-        # For ARM strong type connection, api_key will be None and missing when conn._to_dict(), so set a scrubbed one.
-        configs.update({"api_key": SCRUBBED_VALUE})
-        obj = type_cls(
-            name=mt_rest_obj.connection_name,
-            expiry_time=mt_rest_obj.expiry_time,
-            created_date=mt_rest_obj.created_date,
-            last_modified_date=mt_rest_obj.last_modified_date,
-            **configs,
-        )
-        return obj
-
     @property
     def _has_api_key(self):
         """Return if the connection has api key."""
@@ -366,7 +157,7 @@ class AzureOpenAIConnection(_StrongTypeConnection):
     :type name: str
     """
 
-    TYPE = ConnectionType.AZURE_OPEN_AI
+    TYPE = ConnectionType.AZURE_OPEN_AI.value
 
     def __init__(
         self,
@@ -382,10 +173,6 @@ def __init__(
         self._token_provider = kwargs.get("token_provider")
         super().__init__(configs=configs, secrets=secrets, **kwargs)
 
-    @classmethod
-    def _get_schema_cls(cls):
-        return AzureOpenAIConnectionSchema
-
     @property
     def api_base(self):
         """Return the connection api base."""
@@ -475,7 +262,7 @@ class OpenAIConnection(_StrongTypeConnection):
     :type name: str
     """
 
-    TYPE = ConnectionType.OPEN_AI
+    TYPE = ConnectionType.OPEN_AI.value
 
     def __init__(self, api_key: str, organization: str = None, base_url=None, **kwargs):
         if base_url == "":
@@ -485,10 +272,6 @@ def __init__(self, api_key: str, organization: str = None, base_url=None, **kwar
         secrets = {"api_key": api_key}
         super().__init__(configs=configs, secrets=secrets, **kwargs)
 
-    @classmethod
-    def _get_schema_cls(cls):
-        return OpenAIConnectionSchema
-
     @property
     def organization(self):
         """Return the connection organization."""
@@ -539,17 +322,13 @@ class ServerlessConnection(_StrongTypeConnection):
     :type name: str
     """
 
-    TYPE = ConnectionType.SERVERLESS
+    TYPE = ConnectionType.SERVERLESS.value
 
     def __init__(self, api_key: str, api_base: str, **kwargs):
         secrets = {"api_key": api_key}
         configs = {"api_base": api_base}
         super().__init__(secrets=secrets, configs=configs, **kwargs)
 
-    @classmethod
-    def _get_schema_cls(cls):
-        return ServerlessConnectionSchema
-
     @property
     def api_base(self):
         """Return the connection api base."""
@@ -570,19 +349,15 @@ class SerpConnection(_StrongTypeConnection):
     :type name: str
     """
 
-    TYPE = ConnectionType.SERP
+    TYPE = ConnectionType.SERP.value
 
     def __init__(self, api_key: str, **kwargs):
         secrets = {"api_key": api_key}
         super().__init__(secrets=secrets, **kwargs)
 
-    @classmethod
-    def _get_schema_cls(cls):
-        return SerpConnectionSchema
-
 
 class _EmbeddingStoreConnection(_StrongTypeConnection):
-    TYPE = ConnectionType._NOT_SET
+    TYPE = ConnectionType._NOT_SET.value
 
     def __init__(self, api_key: str, api_base: str, **kwargs):
         configs = {"api_base": api_base}
@@ -609,11 +384,7 @@ class QdrantConnection(_EmbeddingStoreConnection):
     :type name: str
     """
 
-    TYPE = ConnectionType.QDRANT
-
-    @classmethod
-    def _get_schema_cls(cls):
-        return QdrantConnectionSchema
+    TYPE = ConnectionType.QDRANT.value
 
 
 class WeaviateConnection(_EmbeddingStoreConnection):
@@ -627,11 +398,7 @@ class WeaviateConnection(_EmbeddingStoreConnection):
     :type name: str
     """
 
-    TYPE = ConnectionType.WEAVIATE
-
-    @classmethod
-    def _get_schema_cls(cls):
-        return WeaviateConnectionSchema
+    TYPE = ConnectionType.WEAVIATE.value
 
 
 class CognitiveSearchConnection(_StrongTypeConnection):
@@ -647,17 +414,13 @@ class CognitiveSearchConnection(_StrongTypeConnection):
     :type name: str
     """
 
-    TYPE = ConnectionType.COGNITIVE_SEARCH
+    TYPE = ConnectionType.COGNITIVE_SEARCH.value
 
     def __init__(self, api_key: str, api_base: str, api_version: str = "2023-07-01-Preview", **kwargs):
         configs = {"api_base": api_base, "api_version": api_version}
         secrets = {"api_key": api_key}
         super().__init__(configs=configs, secrets=secrets, **kwargs)
 
-    @classmethod
-    def _get_schema_cls(cls):
-        return CognitiveSearchConnectionSchema
-
     @property
     def api_base(self):
         """Return the connection api base."""
@@ -694,7 +457,7 @@ class AzureContentSafetyConnection(_StrongTypeConnection):
     :type name: str
     """
 
-    TYPE = ConnectionType.AZURE_CONTENT_SAFETY
+    TYPE = ConnectionType.AZURE_CONTENT_SAFETY.value
 
     def __init__(
         self,
@@ -708,10 +471,6 @@ def __init__(
         secrets = {"api_key": api_key}
         super().__init__(configs=configs, secrets=secrets, **kwargs)
 
-    @classmethod
-    def _get_schema_cls(cls):
-        return AzureContentSafetyConnectionSchema
-
     @property
     def endpoint(self):
         """Return the connection endpoint."""
@@ -759,17 +518,13 @@ class FormRecognizerConnection(AzureContentSafetyConnection):
     """
 
     # Note: FormRecognizer and ContentSafety are using CognitiveService type in ARM, so keys are the same.
-    TYPE = ConnectionType.FORM_RECOGNIZER
+    TYPE = ConnectionType.FORM_RECOGNIZER.value
 
     def __init__(
         self, api_key: str, endpoint: str, api_version: str = "2023-07-31", api_type: str = "Form Recognizer", **kwargs
     ):
         super().__init__(api_key=api_key, endpoint=endpoint, api_version=api_version, api_type=api_type, **kwargs)
 
-    @classmethod
-    def _get_schema_cls(cls):
-        return FormRecognizerConnectionSchema
-
 
 class CustomStrongTypeConnection(_Connection):
     """Custom strong type connection.
@@ -839,10 +594,6 @@ def __setattr__(self, key, value):
                 self.configs[key] = value
         return super().__setattr__(key, value)
 
-    def _to_orm_object(self) -> ORMConnection:
-        custom_connection = self._convert_to_custom()
-        return custom_connection._to_orm_object()
-
     def _convert_to_custom(self):
         # update configs
         self.configs.update({CustomStrongTypeConnectionConfigs.PROMPTFLOW_TYPE_KEY: self.custom_type})
@@ -903,18 +654,6 @@ def _get_custom_keys(cls, data: Dict):
 
         return schema_configs, schema_secrets
 
-    @classmethod
-    def _get_schema_cls(cls):
-        return CustomStrongTypeConnectionSchema
-
-    @classmethod
-    def _load_from_dict(cls, data: Dict, context: Dict, additional_message: str = None, **kwargs):
-        schema_config_keys, schema_secret_keys = cls._get_custom_keys(data)
-        context[SCHEMA_KEYS_CONTEXT_CONFIG_KEY] = schema_config_keys
-        context[SCHEMA_KEYS_CONTEXT_SECRET_KEY] = schema_secret_keys
-
-        return (super()._load_from_dict(data, context, additional_message, **kwargs))._convert_to_custom()
-
 
 class CustomConnection(_Connection):
     """Custom connection.
@@ -927,7 +666,7 @@ class CustomConnection(_Connection):
     :type name: str
     """
 
-    TYPE = ConnectionType.CUSTOM
+    TYPE = ConnectionType.CUSTOM.value
 
     def __init__(
         self,
@@ -937,26 +676,6 @@ def __init__(
     ):
         super().__init__(secrets=secrets, configs=configs, **kwargs)
 
-    @classmethod
-    def _get_schema_cls(cls):
-        return CustomConnectionSchema
-
-    @classmethod
-    def _load_from_dict(cls, data: Dict, context: Dict, additional_message: str = None, **kwargs):
-        # If context has params_override, it means the data would be updated by overridden values.
-        # Provide CustomStrongTypeConnectionSchema if 'custom_type' in params_override, else CustomConnectionSchema.
-        # For example:
-        #   If a user updates an existing connection by re-upserting a connection file,
-        #   the 'data' from DB is CustomConnection,
-        #   but 'params_override' would actually contain custom strong type connection data.
-        is_custom_strong_type = data.get(CustomStrongTypeConnectionConfigs.TYPE) or any(
-            CustomStrongTypeConnectionConfigs.TYPE in d for d in context.get(PARAMS_OVERRIDE_KEY, [])
-        )
-        if is_custom_strong_type:
-            return CustomStrongTypeConnection._load_from_dict(data, context, additional_message, **kwargs)
-
-        return super()._load_from_dict(data, context, additional_message, **kwargs)
-
     def __getattr__(self, item):
         # Note: This is added for compatibility with promptflow.connections custom connection usage.
         if item == "secrets":
@@ -980,100 +699,6 @@ def is_secret(self, item):
         # Note: This is added for compatibility with promptflow.connections custom connection usage.
         return item in self.secrets
 
-    def _to_orm_object(self):
-        # Both keys & secrets will be set in custom configs with value type specified for custom connection.
-        if not self.secrets:
-            error = ValueError(
-                "Secrets is required for custom connection, "
-                "please use CustomConnection(configs={key1: val1}, secrets={key2: val2}) "
-                "to initialize custom connection."
-            )
-            raise UserErrorException(message=str(error), error=error)
-        custom_configs = {
-            k: {"configValueType": ConfigValueType.STRING.value, "value": v} for k, v in self.configs.items()
-        }
-        encrypted_secrets = self._validate_and_encrypt_secrets()
-        custom_configs.update(
-            {k: {"configValueType": ConfigValueType.SECRET.value, "value": v} for k, v in encrypted_secrets.items()}
-        )
-
-        return ORMConnection(
-            connectionName=self.name,
-            connectionType=self.type.value,
-            configs="{}",
-            customConfigs=json.dumps(custom_configs),
-            expiryTime=self.expiry_time,
-            createdDate=self.created_date,
-            lastModifiedDate=self.last_modified_date,
-        )
-
-    @classmethod
-    def _from_orm_object_with_secrets(cls, orm_object: ORMConnection):
-        # !!! Attention !!!: Do not use this function to user facing api, use _from_orm_object to remove secrets.
-        # Both keys & secrets will be set in custom configs with value type specified for custom connection.
-        configs = {
-            k: v["value"]
-            for k, v in json.loads(orm_object.customConfigs).items()
-            if v["configValueType"] == ConfigValueType.STRING.value
-        }
-
-        secrets = {}
-        unsecure_connection = False
-        custom_type = None
-        for k, v in json.loads(orm_object.customConfigs).items():
-            if k == CustomStrongTypeConnectionConfigs.PROMPTFLOW_TYPE_KEY:
-                custom_type = v["value"]
-                continue
-            if not v["configValueType"] == ConfigValueType.SECRET.value:
-                continue
-            try:
-                secrets[k] = decrypt_secret_value(orm_object.connectionName, v["value"])
-            except UnsecureConnectionError:
-                # This is to workaround old custom secrets that are not encrypted with Fernet.
-                unsecure_connection = True
-                secrets[k] = v["value"]
-        if unsecure_connection:
-            print_yellow_warning(
-                f"Warning: Please delete and re-create connection {orm_object.connectionName} "
-                "due to a security issue in the old sdk version."
-            )
-
-        return cls(
-            name=orm_object.connectionName,
-            configs=configs,
-            secrets=secrets,
-            custom_type=custom_type,
-            expiry_time=orm_object.expiryTime,
-            created_date=orm_object.createdDate,
-            last_modified_date=orm_object.lastModifiedDate,
-        )
-
-    @classmethod
-    def _from_mt_rest_object(cls, mt_rest_obj):
-        type_cls, _ = cls._resolve_cls_and_type(data={"type": mt_rest_obj.connection_type})
-        if not mt_rest_obj.custom_configs:
-            mt_rest_obj.custom_configs = {}
-        configs = {
-            k: v.value
-            for k, v in mt_rest_obj.custom_configs.items()
-            if v.config_value_type == ConfigValueType.STRING.value
-        }
-
-        secrets = {
-            k: v.value
-            for k, v in mt_rest_obj.custom_configs.items()
-            if v.config_value_type == ConfigValueType.SECRET.value
-        }
-
-        return cls(
-            name=mt_rest_obj.connection_name,
-            configs=configs,
-            secrets=secrets,
-            expiry_time=mt_rest_obj.expiry_time,
-            created_date=mt_rest_obj.created_date,
-            last_modified_date=mt_rest_obj.last_modified_date,
-        )
-
     def _is_custom_strong_type(self):
         return (
             CustomStrongTypeConnectionConfigs.PROMPTFLOW_TYPE_KEY in self.configs
@@ -1119,8 +744,8 @@ def _convert_to_custom_strong_type(self, module=None, to_class=None) -> CustomSt
         return connection_instance
 
 
-_supported_types = {
-    v.TYPE.value: v
+_Connection.SUPPORTED_TYPES = {
+    v.TYPE: v
     for v in globals().values()
     if isinstance(v, type) and issubclass(v, _Connection) and not v.__name__.startswith("_")
 }
diff --git a/src/promptflow/promptflow/_sdk/__init__.py b/src/promptflow-core/promptflow/core/_connection_provider/__init__.py
similarity index 100%
rename from src/promptflow/promptflow/_sdk/__init__.py
rename to src/promptflow-core/promptflow/core/_connection_provider/__init__.py
diff --git a/src/promptflow-core/promptflow/core/_connection_provider/_connection_provider.py b/src/promptflow-core/promptflow/core/_connection_provider/_connection_provider.py
new file mode 100644
index 00000000000..de83927b789
--- /dev/null
+++ b/src/promptflow-core/promptflow/core/_connection_provider/_connection_provider.py
@@ -0,0 +1,49 @@
+# ---------------------------------------------------------
+# Copyright (c) Microsoft Corporation. All rights reserved.
+# ---------------------------------------------------------
+from abc import ABC, abstractmethod
+from typing import Any
+
+from promptflow._constants import ConnectionProviderConfig
+from promptflow.core._connection_provider._utils import extract_workspace
+from promptflow.core._errors import MissingRequiredPackage, UnsupportedConnectionProviderConfig
+
+
+class ConnectionProvider(ABC):
+    @abstractmethod
+    def get(self, name: str, **kwargs) -> Any:
+        """Get connection by name."""
+        raise NotImplementedError
+
+    @classmethod
+    def init_from_provider_config(cls, provider_config: str, credential=None):
+        """Initialize the connection provider from a provider config.
+
+        Expected value:
+        - local
+        - azureml://subscriptions/<your-subscription>/resourceGroups/<your-resourcegroup>/
+            providers/Microsoft.MachineLearningServices/workspaces/<your-workspace>
+        """
+        if not provider_config or provider_config == ConnectionProviderConfig.LOCAL:
+            try:
+                from promptflow._sdk._connection_provider._local_connection_provider import LocalConnectionProvider
+            except ImportError as e:
+                raise MissingRequiredPackage(
+                    message="Please install 'promptflow-devkit' to use local connection."
+                ) from e
+            return LocalConnectionProvider()
+        if provider_config.startswith(ConnectionProviderConfig.AZUREML):
+            from promptflow.core._connection_provider._workspace_connection_provider import WorkspaceConnectionProvider
+
+            subscription_id, resource_group, workspace_name = extract_workspace(provider_config)
+            return WorkspaceConnectionProvider(subscription_id, resource_group, workspace_name, credential)
+        raise UnsupportedConnectionProviderConfig(
+            message=f"Unsupported connection provider config: {provider_config}, only 'local' and "
+            "'azureml://subscriptions/<your-subscription>/resourceGroups/<your-resourcegroup>/"
+            "providers/Microsoft.MachineLearningServices/workspaces/<your-workspace>' are expected as value."
+        )
+
+    @classmethod
+    def _init_from_env(cls):
+        """Initialize the connection provider from environment variables."""
+        pass
diff --git a/src/promptflow-core/promptflow/core/_connection_provider/_dict_connection_provider.py b/src/promptflow-core/promptflow/core/_connection_provider/_dict_connection_provider.py
new file mode 100644
index 00000000000..2f344f03fa8
--- /dev/null
+++ b/src/promptflow-core/promptflow/core/_connection_provider/_dict_connection_provider.py
@@ -0,0 +1,82 @@
+# ---------------------------------------------------------
+# Copyright (c) Microsoft Corporation. All rights reserved.
+# ---------------------------------------------------------
+from dataclasses import fields, is_dataclass
+from typing import Any, Dict
+
+from promptflow._constants import CONNECTION_NAME_PROPERTY, CONNECTION_SECRET_KEYS, CustomStrongTypeConnectionConfigs
+from promptflow._utils.utils import try_import
+from promptflow.contracts.types import Secret
+
+from ._connection_provider import ConnectionProvider
+
+
+class DictConnectionProvider(ConnectionProvider):
+    """Connection provider based on dict, core scenario: cloud submission."""
+
+    def __init__(self, _dict: Dict[str, dict]):
+        self._connections_dict = _dict or {}
+        self._connections = self._build_connections(self._connections_dict)
+
+    @classmethod
+    def _build_connections(cls, _dict: Dict[str, dict]):
+        """Build connection dict."""
+        from promptflow._core.tools_manager import connections as cls_mapping
+
+        cls.import_requisites(_dict)
+        connections = {}  # key to connection object
+        for key, connection_dict in _dict.items():
+            typ = connection_dict.get("type")
+            if typ not in cls_mapping:
+                supported = [key for key in cls_mapping.keys() if not key.startswith("_")]
+                raise ValueError(f"Unknown connection {key!r} type {typ!r}, supported are {supported}.")
+            value = connection_dict.get("value", {})
+            connection_class = cls_mapping[typ]
+
+            from promptflow.connections import CustomConnection
+
+            if connection_class is CustomConnection:
+                # Note: CustomConnection definition can not be got, secret keys will be provided in connection dict.
+                secret_keys = connection_dict.get("secret_keys", [])
+                secrets = {k: v for k, v in value.items() if k in secret_keys}
+                configs = {k: v for k, v in value.items() if k not in secrets}
+                connection_value = connection_class(configs=configs, secrets=secrets, name=key)
+                if CustomStrongTypeConnectionConfigs.PROMPTFLOW_TYPE_KEY in configs:
+                    connection_value.custom_type = configs[CustomStrongTypeConnectionConfigs.PROMPTFLOW_TYPE_KEY]
+            else:
+                """
+                Note: Ignore non exists keys of connection class,
+                because there are some keys just used by UX like resource id, while not used by backend.
+                """
+                if is_dataclass(connection_class):
+                    # Do not delete this branch, as promptflow_vectordb.connections is dataclass type.
+                    cls_fields = {f.name: f for f in fields(connection_class)}
+                    connection_value = connection_class(**{k: v for k, v in value.items() if k in cls_fields})
+                    secret_keys = [f.name for f in cls_fields.values() if f.type == Secret]
+                else:
+                    connection_value = connection_class(**{k: v for k, v in value.items()})
+                    if hasattr(connection_value, "name"):
+                        connection_value.name = key
+                    secrets = getattr(connection_value, "secrets", {})
+                    secret_keys = list(secrets.keys()) if isinstance(secrets, dict) else []
+            # Set secret keys for log scrubbing
+            setattr(connection_value, CONNECTION_SECRET_KEYS, secret_keys)
+            # Use this hack to make sure serialization works
+            setattr(connection_value, CONNECTION_NAME_PROPERTY, key)
+            connections[key] = connection_value
+        return connections
+
+    @classmethod
+    def import_requisites(cls, _dict: Dict[str, dict]):
+        """Import connection required modules."""
+        modules = set()
+        for key, connection_dict in _dict.items():
+            module = connection_dict.get("module")
+            if module:
+                modules.add(module)
+        for module in modules:
+            # Suppress import error, as we have legacy module promptflow.tools.connections.
+            try_import(module, f"Import connection module {module!r} failed.", raise_error=False)
+
+    def get(self, name: str) -> Any:
+        return self._connections.get(name)
diff --git a/src/promptflow/promptflow/azure/_models/__init__.py b/src/promptflow-core/promptflow/core/_connection_provider/_models/__init__.py
similarity index 100%
rename from src/promptflow/promptflow/azure/_models/__init__.py
rename to src/promptflow-core/promptflow/core/_connection_provider/_models/__init__.py
diff --git a/src/promptflow/promptflow/azure/_models/_models.py b/src/promptflow-core/promptflow/core/_connection_provider/_models/_models.py
similarity index 68%
rename from src/promptflow/promptflow/azure/_models/_models.py
rename to src/promptflow-core/promptflow/core/_connection_provider/_models/_models.py
index 1db8299e122..d0376a0ed8f 100644
--- a/src/promptflow/promptflow/azure/_models/_models.py
+++ b/src/promptflow-core/promptflow/core/_connection_provider/_models/_models.py
@@ -8,8 +8,6 @@
 
 import msrest.serialization
 
-from azure.core.exceptions import HttpResponseError
-
 
 class WorkspaceConnectionPropertiesV2(msrest.serialization.Model):
     """WorkspaceConnectionPropertiesV2.
@@ -61,42 +59,41 @@ class WorkspaceConnectionPropertiesV2(msrest.serialization.Model):
     """
 
     _validation = {
-        'auth_type': {'required': True},
-        'created_by_workspace_arm_id': {'readonly': True},
-        'group': {'readonly': True},
+        "auth_type": {"required": True},
+        "created_by_workspace_arm_id": {"readonly": True},
+        "group": {"readonly": True},
     }
 
     _attribute_map = {
-        'auth_type': {'key': 'authType', 'type': 'str'},
-        'category': {'key': 'category', 'type': 'str'},
-        'created_by_workspace_arm_id': {'key': 'createdByWorkspaceArmId', 'type': 'str'},
-        'expiry_time': {'key': 'expiryTime', 'type': 'iso-8601'},
-        'group': {'key': 'group', 'type': 'str'},
-        'is_shared_to_all': {'key': 'isSharedToAll', 'type': 'bool'},
-        'metadata': {'key': 'metadata', 'type': 'object'},
-        'shared_user_list': {'key': 'sharedUserList', 'type': '[str]'},
-        'target': {'key': 'target', 'type': 'str'},
+        "auth_type": {"key": "authType", "type": "str"},
+        "category": {"key": "category", "type": "str"},
+        "created_by_workspace_arm_id": {"key": "createdByWorkspaceArmId", "type": "str"},
+        "expiry_time": {"key": "expiryTime", "type": "iso-8601"},
+        "group": {"key": "group", "type": "str"},
+        "is_shared_to_all": {"key": "isSharedToAll", "type": "bool"},
+        "metadata": {"key": "metadata", "type": "object"},
+        "shared_user_list": {"key": "sharedUserList", "type": "[str]"},
+        "target": {"key": "target", "type": "str"},
     }
 
     _subtype_map = {
-        'auth_type': {'AAD': 'AADAuthTypeWorkspaceConnectionProperties',
-                      'AccessKey': 'AccessKeyAuthTypeWorkspaceConnectionProperties',
-                      'AccountKey': 'AccountKeyAuthTypeWorkspaceConnectionProperties',
-                      'ApiKey': 'ApiKeyAuthWorkspaceConnectionProperties',
-                      'CustomKeys': 'CustomKeysWorkspaceConnectionProperties',
-                      'ManagedIdentity': 'ManagedIdentityAuthTypeWorkspaceConnectionProperties',
-                      'None': 'NoneAuthTypeWorkspaceConnectionProperties',
-                      'OAuth2': 'OAuth2AuthTypeWorkspaceConnectionProperties',
-                      'PAT': 'PATAuthTypeWorkspaceConnectionProperties',
-                      'SAS': 'SASAuthTypeWorkspaceConnectionProperties',
-                      'ServicePrincipal': 'ServicePrincipalAuthTypeWorkspaceConnectionProperties',
-                      'UsernamePassword': 'UsernamePasswordAuthTypeWorkspaceConnectionProperties'}
-    }
-
-    def __init__(
-            self,
-            **kwargs
-    ):
+        "auth_type": {
+            "AAD": "AADAuthTypeWorkspaceConnectionProperties",
+            "AccessKey": "AccessKeyAuthTypeWorkspaceConnectionProperties",
+            "AccountKey": "AccountKeyAuthTypeWorkspaceConnectionProperties",
+            "ApiKey": "ApiKeyAuthWorkspaceConnectionProperties",
+            "CustomKeys": "CustomKeysWorkspaceConnectionProperties",
+            "ManagedIdentity": "ManagedIdentityAuthTypeWorkspaceConnectionProperties",
+            "None": "NoneAuthTypeWorkspaceConnectionProperties",
+            "OAuth2": "OAuth2AuthTypeWorkspaceConnectionProperties",
+            "PAT": "PATAuthTypeWorkspaceConnectionProperties",
+            "SAS": "SASAuthTypeWorkspaceConnectionProperties",
+            "ServicePrincipal": "ServicePrincipalAuthTypeWorkspaceConnectionProperties",
+            "UsernamePassword": "UsernamePasswordAuthTypeWorkspaceConnectionProperties",
+        }
+    }
+
+    def __init__(self, **kwargs):
         """
         :keyword category: Category of the connection. Possible values include: "PythonFeed",
          "ContainerRegistry", "Git", "S3", "Snowflake", "AzureSqlDb", "AzureSynapseAnalytics",
@@ -129,14 +126,14 @@ def __init__(
         """
         super(WorkspaceConnectionPropertiesV2, self).__init__(**kwargs)
         self.auth_type = None  # type: Optional[str]
-        self.category = kwargs.get('category', None)
+        self.category = kwargs.get("category", None)
         self.created_by_workspace_arm_id = None
-        self.expiry_time = kwargs.get('expiry_time', None)
+        self.expiry_time = kwargs.get("expiry_time", None)
         self.group = None
-        self.is_shared_to_all = kwargs.get('is_shared_to_all', None)
-        self.metadata = kwargs.get('metadata', None)
-        self.shared_user_list = kwargs.get('shared_user_list', None)
-        self.target = kwargs.get('target', None)
+        self.is_shared_to_all = kwargs.get("is_shared_to_all", None)
+        self.metadata = kwargs.get("metadata", None)
+        self.shared_user_list = kwargs.get("shared_user_list", None)
+        self.target = kwargs.get("target", None)
 
 
 class AADAuthTypeWorkspaceConnectionProperties(WorkspaceConnectionPropertiesV2):
@@ -186,27 +183,24 @@ class AADAuthTypeWorkspaceConnectionProperties(WorkspaceConnectionPropertiesV2):
     """
 
     _validation = {
-        'auth_type': {'required': True},
-        'created_by_workspace_arm_id': {'readonly': True},
-        'group': {'readonly': True},
+        "auth_type": {"required": True},
+        "created_by_workspace_arm_id": {"readonly": True},
+        "group": {"readonly": True},
     }
 
     _attribute_map = {
-        'auth_type': {'key': 'authType', 'type': 'str'},
-        'category': {'key': 'category', 'type': 'str'},
-        'created_by_workspace_arm_id': {'key': 'createdByWorkspaceArmId', 'type': 'str'},
-        'expiry_time': {'key': 'expiryTime', 'type': 'iso-8601'},
-        'group': {'key': 'group', 'type': 'str'},
-        'is_shared_to_all': {'key': 'isSharedToAll', 'type': 'bool'},
-        'metadata': {'key': 'metadata', 'type': 'object'},
-        'shared_user_list': {'key': 'sharedUserList', 'type': '[str]'},
-        'target': {'key': 'target', 'type': 'str'},
+        "auth_type": {"key": "authType", "type": "str"},
+        "category": {"key": "category", "type": "str"},
+        "created_by_workspace_arm_id": {"key": "createdByWorkspaceArmId", "type": "str"},
+        "expiry_time": {"key": "expiryTime", "type": "iso-8601"},
+        "group": {"key": "group", "type": "str"},
+        "is_shared_to_all": {"key": "isSharedToAll", "type": "bool"},
+        "metadata": {"key": "metadata", "type": "object"},
+        "shared_user_list": {"key": "sharedUserList", "type": "[str]"},
+        "target": {"key": "target", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword category: Category of the connection. Possible values include: "PythonFeed",
          "ContainerRegistry", "Git", "S3", "Snowflake", "AzureSqlDb", "AzureSynapseAnalytics",
@@ -238,7 +232,7 @@ def __init__(
         :paramtype target: str
         """
         super(AADAuthTypeWorkspaceConnectionProperties, self).__init__(**kwargs)
-        self.auth_type = 'AAD'  # type: str
+        self.auth_type = "AAD"  # type: str
 
 
 class AccessKeyAuthTypeWorkspaceConnectionProperties(WorkspaceConnectionPropertiesV2):
@@ -290,28 +284,25 @@ class AccessKeyAuthTypeWorkspaceConnectionProperties(WorkspaceConnectionProperti
     """
 
     _validation = {
-        'auth_type': {'required': True},
-        'created_by_workspace_arm_id': {'readonly': True},
-        'group': {'readonly': True},
+        "auth_type": {"required": True},
+        "created_by_workspace_arm_id": {"readonly": True},
+        "group": {"readonly": True},
     }
 
     _attribute_map = {
-        'auth_type': {'key': 'authType', 'type': 'str'},
-        'category': {'key': 'category', 'type': 'str'},
-        'created_by_workspace_arm_id': {'key': 'createdByWorkspaceArmId', 'type': 'str'},
-        'expiry_time': {'key': 'expiryTime', 'type': 'iso-8601'},
-        'group': {'key': 'group', 'type': 'str'},
-        'is_shared_to_all': {'key': 'isSharedToAll', 'type': 'bool'},
-        'metadata': {'key': 'metadata', 'type': 'object'},
-        'shared_user_list': {'key': 'sharedUserList', 'type': '[str]'},
-        'target': {'key': 'target', 'type': 'str'},
-        'credentials': {'key': 'credentials', 'type': 'WorkspaceConnectionAccessKey'},
+        "auth_type": {"key": "authType", "type": "str"},
+        "category": {"key": "category", "type": "str"},
+        "created_by_workspace_arm_id": {"key": "createdByWorkspaceArmId", "type": "str"},
+        "expiry_time": {"key": "expiryTime", "type": "iso-8601"},
+        "group": {"key": "group", "type": "str"},
+        "is_shared_to_all": {"key": "isSharedToAll", "type": "bool"},
+        "metadata": {"key": "metadata", "type": "object"},
+        "shared_user_list": {"key": "sharedUserList", "type": "[str]"},
+        "target": {"key": "target", "type": "str"},
+        "credentials": {"key": "credentials", "type": "WorkspaceConnectionAccessKey"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword category: Category of the connection. Possible values include: "PythonFeed",
          "ContainerRegistry", "Git", "S3", "Snowflake", "AzureSqlDb", "AzureSynapseAnalytics",
@@ -345,8 +336,8 @@ def __init__(
         :paramtype credentials: ~azure.mgmt.machinelearningservices.models.WorkspaceConnectionAccessKey
         """
         super(AccessKeyAuthTypeWorkspaceConnectionProperties, self).__init__(**kwargs)
-        self.auth_type = 'AccessKey'  # type: str
-        self.credentials = kwargs.get('credentials', None)
+        self.auth_type = "AccessKey"  # type: str
+        self.credentials = kwargs.get("credentials", None)
 
 
 class AccountApiKeys(msrest.serialization.Model):
@@ -359,14 +350,11 @@ class AccountApiKeys(msrest.serialization.Model):
     """
 
     _attribute_map = {
-        'key1': {'key': 'key1', 'type': 'str'},
-        'key2': {'key': 'key2', 'type': 'str'},
+        "key1": {"key": "key1", "type": "str"},
+        "key2": {"key": "key2", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword key1:
         :paramtype key1: str
@@ -374,8 +362,8 @@ def __init__(
         :paramtype key2: str
         """
         super(AccountApiKeys, self).__init__(**kwargs)
-        self.key1 = kwargs.get('key1', None)
-        self.key2 = kwargs.get('key2', None)
+        self.key1 = kwargs.get("key1", None)
+        self.key2 = kwargs.get("key2", None)
 
 
 class AccountKeyAuthTypeWorkspaceConnectionProperties(WorkspaceConnectionPropertiesV2):
@@ -428,28 +416,25 @@ class AccountKeyAuthTypeWorkspaceConnectionProperties(WorkspaceConnectionPropert
     """
 
     _validation = {
-        'auth_type': {'required': True},
-        'created_by_workspace_arm_id': {'readonly': True},
-        'group': {'readonly': True},
+        "auth_type": {"required": True},
+        "created_by_workspace_arm_id": {"readonly": True},
+        "group": {"readonly": True},
     }
 
     _attribute_map = {
-        'auth_type': {'key': 'authType', 'type': 'str'},
-        'category': {'key': 'category', 'type': 'str'},
-        'created_by_workspace_arm_id': {'key': 'createdByWorkspaceArmId', 'type': 'str'},
-        'expiry_time': {'key': 'expiryTime', 'type': 'iso-8601'},
-        'group': {'key': 'group', 'type': 'str'},
-        'is_shared_to_all': {'key': 'isSharedToAll', 'type': 'bool'},
-        'metadata': {'key': 'metadata', 'type': 'object'},
-        'shared_user_list': {'key': 'sharedUserList', 'type': '[str]'},
-        'target': {'key': 'target', 'type': 'str'},
-        'credentials': {'key': 'credentials', 'type': 'WorkspaceConnectionSharedAccessSignature'},
+        "auth_type": {"key": "authType", "type": "str"},
+        "category": {"key": "category", "type": "str"},
+        "created_by_workspace_arm_id": {"key": "createdByWorkspaceArmId", "type": "str"},
+        "expiry_time": {"key": "expiryTime", "type": "iso-8601"},
+        "group": {"key": "group", "type": "str"},
+        "is_shared_to_all": {"key": "isSharedToAll", "type": "bool"},
+        "metadata": {"key": "metadata", "type": "object"},
+        "shared_user_list": {"key": "sharedUserList", "type": "[str]"},
+        "target": {"key": "target", "type": "str"},
+        "credentials": {"key": "credentials", "type": "WorkspaceConnectionSharedAccessSignature"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword category: Category of the connection. Possible values include: "PythonFeed",
          "ContainerRegistry", "Git", "S3", "Snowflake", "AzureSqlDb", "AzureSynapseAnalytics",
@@ -484,8 +469,8 @@ def __init__(
          ~azure.mgmt.machinelearningservices.models.WorkspaceConnectionSharedAccessSignature
         """
         super(AccountKeyAuthTypeWorkspaceConnectionProperties, self).__init__(**kwargs)
-        self.auth_type = 'AccountKey'  # type: str
-        self.credentials = kwargs.get('credentials', None)
+        self.auth_type = "AccountKey"  # type: str
+        self.credentials = kwargs.get("credentials", None)
 
 
 class DatastoreCredentials(msrest.serialization.Model):
@@ -503,28 +488,27 @@ class DatastoreCredentials(msrest.serialization.Model):
     """
 
     _validation = {
-        'credentials_type': {'required': True},
+        "credentials_type": {"required": True},
     }
 
     _attribute_map = {
-        'credentials_type': {'key': 'credentialsType', 'type': 'str'},
+        "credentials_type": {"key": "credentialsType", "type": "str"},
     }
 
     _subtype_map = {
-        'credentials_type': {'AccountKey': 'AccountKeyDatastoreCredentials',
-                             'Certificate': 'CertificateDatastoreCredentials',
-                             'KerberosKeytab': 'KerberosKeytabCredentials',
-                             'KerberosPassword': 'KerberosPasswordCredentials', 'None': 'NoneDatastoreCredentials',
-                             'Sas': 'SasDatastoreCredentials',
-                             'ServicePrincipal': 'ServicePrincipalDatastoreCredentials'}
-    }
-
-    def __init__(
-            self,
-            **kwargs
-    ):
-        """
-        """
+        "credentials_type": {
+            "AccountKey": "AccountKeyDatastoreCredentials",
+            "Certificate": "CertificateDatastoreCredentials",
+            "KerberosKeytab": "KerberosKeytabCredentials",
+            "KerberosPassword": "KerberosPasswordCredentials",
+            "None": "NoneDatastoreCredentials",
+            "Sas": "SasDatastoreCredentials",
+            "ServicePrincipal": "ServicePrincipalDatastoreCredentials",
+        }
+    }
+
+    def __init__(self, **kwargs):
+        """ """
         super(DatastoreCredentials, self).__init__(**kwargs)
         self.credentials_type = None  # type: Optional[str]
 
@@ -543,26 +527,23 @@ class AccountKeyDatastoreCredentials(DatastoreCredentials):
     """
 
     _validation = {
-        'credentials_type': {'required': True},
-        'secrets': {'required': True},
+        "credentials_type": {"required": True},
+        "secrets": {"required": True},
     }
 
     _attribute_map = {
-        'credentials_type': {'key': 'credentialsType', 'type': 'str'},
-        'secrets': {'key': 'secrets', 'type': 'AccountKeyDatastoreSecrets'},
+        "credentials_type": {"key": "credentialsType", "type": "str"},
+        "secrets": {"key": "secrets", "type": "AccountKeyDatastoreSecrets"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword secrets: Required. [Required] Storage account secrets.
         :paramtype secrets: ~azure.mgmt.machinelearningservices.models.AccountKeyDatastoreSecrets
         """
         super(AccountKeyDatastoreCredentials, self).__init__(**kwargs)
-        self.credentials_type = 'AccountKey'  # type: str
-        self.secrets = kwargs['secrets']
+        self.credentials_type = "AccountKey"  # type: str
+        self.secrets = kwargs["secrets"]
 
 
 class DatastoreSecrets(msrest.serialization.Model):
@@ -580,25 +561,26 @@ class DatastoreSecrets(msrest.serialization.Model):
     """
 
     _validation = {
-        'secrets_type': {'required': True},
+        "secrets_type": {"required": True},
     }
 
     _attribute_map = {
-        'secrets_type': {'key': 'secretsType', 'type': 'str'},
+        "secrets_type": {"key": "secretsType", "type": "str"},
     }
 
     _subtype_map = {
-        'secrets_type': {'AccountKey': 'AccountKeyDatastoreSecrets', 'Certificate': 'CertificateDatastoreSecrets',
-                         'KerberosKeytab': 'KerberosKeytabSecrets', 'KerberosPassword': 'KerberosPasswordSecrets',
-                         'Sas': 'SasDatastoreSecrets', 'ServicePrincipal': 'ServicePrincipalDatastoreSecrets'}
-    }
-
-    def __init__(
-            self,
-            **kwargs
-    ):
-        """
-        """
+        "secrets_type": {
+            "AccountKey": "AccountKeyDatastoreSecrets",
+            "Certificate": "CertificateDatastoreSecrets",
+            "KerberosKeytab": "KerberosKeytabSecrets",
+            "KerberosPassword": "KerberosPasswordSecrets",
+            "Sas": "SasDatastoreSecrets",
+            "ServicePrincipal": "ServicePrincipalDatastoreSecrets",
+        }
+    }
+
+    def __init__(self, **kwargs):
+        """ """
         super(DatastoreSecrets, self).__init__(**kwargs)
         self.secrets_type = None  # type: Optional[str]
 
@@ -617,25 +599,22 @@ class AccountKeyDatastoreSecrets(DatastoreSecrets):
     """
 
     _validation = {
-        'secrets_type': {'required': True},
+        "secrets_type": {"required": True},
     }
 
     _attribute_map = {
-        'secrets_type': {'key': 'secretsType', 'type': 'str'},
-        'key': {'key': 'key', 'type': 'str'},
+        "secrets_type": {"key": "secretsType", "type": "str"},
+        "key": {"key": "key", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword key: Storage account key.
         :paramtype key: str
         """
         super(AccountKeyDatastoreSecrets, self).__init__(**kwargs)
-        self.secrets_type = 'AccountKey'  # type: str
-        self.key = kwargs.get('key', None)
+        self.secrets_type = "AccountKey"  # type: str
+        self.key = kwargs.get("key", None)
 
 
 class DeploymentModel(msrest.serialization.Model):
@@ -659,21 +638,18 @@ class DeploymentModel(msrest.serialization.Model):
     """
 
     _validation = {
-        'call_rate_limit': {'readonly': True},
+        "call_rate_limit": {"readonly": True},
     }
 
     _attribute_map = {
-        'format': {'key': 'format', 'type': 'str'},
-        'name': {'key': 'name', 'type': 'str'},
-        'version': {'key': 'version', 'type': 'str'},
-        'source': {'key': 'source', 'type': 'str'},
-        'call_rate_limit': {'key': 'callRateLimit', 'type': 'CallRateLimit'},
+        "format": {"key": "format", "type": "str"},
+        "name": {"key": "name", "type": "str"},
+        "version": {"key": "version", "type": "str"},
+        "source": {"key": "source", "type": "str"},
+        "call_rate_limit": {"key": "callRateLimit", "type": "CallRateLimit"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword format: Deployment model format.
         :paramtype format: str
@@ -688,10 +664,10 @@ def __init__(
         :paramtype source: str
         """
         super(DeploymentModel, self).__init__(**kwargs)
-        self.format = kwargs.get('format', None)
-        self.name = kwargs.get('name', None)
-        self.version = kwargs.get('version', None)
-        self.source = kwargs.get('source', None)
+        self.format = kwargs.get("format", None)
+        self.name = kwargs.get("name", None)
+        self.version = kwargs.get("version", None)
+        self.source = kwargs.get("source", None)
         self.call_rate_limit = None
 
 
@@ -736,31 +712,28 @@ class AccountModel(DeploymentModel):
     """
 
     _validation = {
-        'call_rate_limit': {'readonly': True},
-        'system_data': {'readonly': True},
+        "call_rate_limit": {"readonly": True},
+        "system_data": {"readonly": True},
     }
 
     _attribute_map = {
-        'format': {'key': 'format', 'type': 'str'},
-        'name': {'key': 'name', 'type': 'str'},
-        'version': {'key': 'version', 'type': 'str'},
-        'source': {'key': 'source', 'type': 'str'},
-        'call_rate_limit': {'key': 'callRateLimit', 'type': 'CallRateLimit'},
-        'base_model': {'key': 'baseModel', 'type': 'DeploymentModel'},
-        'is_default_version': {'key': 'isDefaultVersion', 'type': 'bool'},
-        'skus': {'key': 'skus', 'type': '[ModelSku]'},
-        'max_capacity': {'key': 'maxCapacity', 'type': 'int'},
-        'capabilities': {'key': 'capabilities', 'type': '{str}'},
-        'finetune_capabilities': {'key': 'finetuneCapabilities', 'type': '{str}'},
-        'deprecation': {'key': 'deprecation', 'type': 'ModelDeprecationInfo'},
-        'lifecycle_status': {'key': 'lifecycleStatus', 'type': 'str'},
-        'system_data': {'key': 'systemData', 'type': 'SystemData'},
+        "format": {"key": "format", "type": "str"},
+        "name": {"key": "name", "type": "str"},
+        "version": {"key": "version", "type": "str"},
+        "source": {"key": "source", "type": "str"},
+        "call_rate_limit": {"key": "callRateLimit", "type": "CallRateLimit"},
+        "base_model": {"key": "baseModel", "type": "DeploymentModel"},
+        "is_default_version": {"key": "isDefaultVersion", "type": "bool"},
+        "skus": {"key": "skus", "type": "[ModelSku]"},
+        "max_capacity": {"key": "maxCapacity", "type": "int"},
+        "capabilities": {"key": "capabilities", "type": "{str}"},
+        "finetune_capabilities": {"key": "finetuneCapabilities", "type": "{str}"},
+        "deprecation": {"key": "deprecation", "type": "ModelDeprecationInfo"},
+        "lifecycle_status": {"key": "lifecycleStatus", "type": "str"},
+        "system_data": {"key": "systemData", "type": "SystemData"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword format: Deployment model format.
         :paramtype format: str
@@ -793,14 +766,14 @@ def __init__(
          ~azure.mgmt.machinelearningservices.models.ModelLifecycleStatus
         """
         super(AccountModel, self).__init__(**kwargs)
-        self.base_model = kwargs.get('base_model', None)
-        self.is_default_version = kwargs.get('is_default_version', None)
-        self.skus = kwargs.get('skus', None)
-        self.max_capacity = kwargs.get('max_capacity', None)
-        self.capabilities = kwargs.get('capabilities', None)
-        self.finetune_capabilities = kwargs.get('finetune_capabilities', None)
-        self.deprecation = kwargs.get('deprecation', None)
-        self.lifecycle_status = kwargs.get('lifecycle_status', None)
+        self.base_model = kwargs.get("base_model", None)
+        self.is_default_version = kwargs.get("is_default_version", None)
+        self.skus = kwargs.get("skus", None)
+        self.max_capacity = kwargs.get("max_capacity", None)
+        self.capabilities = kwargs.get("capabilities", None)
+        self.finetune_capabilities = kwargs.get("finetune_capabilities", None)
+        self.deprecation = kwargs.get("deprecation", None)
+        self.lifecycle_status = kwargs.get("lifecycle_status", None)
         self.system_data = None
 
 
@@ -818,14 +791,11 @@ class AcrDetails(msrest.serialization.Model):
     """
 
     _attribute_map = {
-        'system_created_acr_account': {'key': 'systemCreatedAcrAccount', 'type': 'SystemCreatedAcrAccount'},
-        'user_created_acr_account': {'key': 'userCreatedAcrAccount', 'type': 'UserCreatedAcrAccount'},
+        "system_created_acr_account": {"key": "systemCreatedAcrAccount", "type": "SystemCreatedAcrAccount"},
+        "user_created_acr_account": {"key": "userCreatedAcrAccount", "type": "UserCreatedAcrAccount"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword system_created_acr_account: Details of system created ACR account to be used for the
          Registry.
@@ -837,8 +807,8 @@ def __init__(
          ~azure.mgmt.machinelearningservices.models.UserCreatedAcrAccount
         """
         super(AcrDetails, self).__init__(**kwargs)
-        self.system_created_acr_account = kwargs.get('system_created_acr_account', None)
-        self.user_created_acr_account = kwargs.get('user_created_acr_account', None)
+        self.system_created_acr_account = kwargs.get("system_created_acr_account", None)
+        self.user_created_acr_account = kwargs.get("user_created_acr_account", None)
 
 
 class ActualCapacityInfo(msrest.serialization.Model):
@@ -855,15 +825,12 @@ class ActualCapacityInfo(msrest.serialization.Model):
     """
 
     _attribute_map = {
-        'allocated': {'key': 'allocated', 'type': 'int'},
-        'assignment_failed': {'key': 'assignmentFailed', 'type': 'int'},
-        'assignment_success': {'key': 'assignmentSuccess', 'type': 'int'},
+        "allocated": {"key": "allocated", "type": "int"},
+        "assignment_failed": {"key": "assignmentFailed", "type": "int"},
+        "assignment_success": {"key": "assignmentSuccess", "type": "int"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword allocated: Gets or sets the total number of instances for the group.
         :paramtype allocated: int
@@ -875,9 +842,9 @@ def __init__(
         :paramtype assignment_success: int
         """
         super(ActualCapacityInfo, self).__init__(**kwargs)
-        self.allocated = kwargs.get('allocated', 0)
-        self.assignment_failed = kwargs.get('assignment_failed', 0)
-        self.assignment_success = kwargs.get('assignment_success', 0)
+        self.allocated = kwargs.get("allocated", 0)
+        self.assignment_failed = kwargs.get("assignment_failed", 0)
+        self.assignment_success = kwargs.get("assignment_success", 0)
 
 
 class AKSSchema(msrest.serialization.Model):
@@ -888,19 +855,16 @@ class AKSSchema(msrest.serialization.Model):
     """
 
     _attribute_map = {
-        'properties': {'key': 'properties', 'type': 'AKSSchemaProperties'},
+        "properties": {"key": "properties", "type": "AKSSchemaProperties"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword properties: AKS properties.
         :paramtype properties: ~azure.mgmt.machinelearningservices.models.AKSSchemaProperties
         """
         super(AKSSchema, self).__init__(**kwargs)
-        self.properties = kwargs.get('properties', None)
+        self.properties = kwargs.get("properties", None)
 
 
 class Compute(msrest.serialization.Model):
@@ -943,38 +907,43 @@ class Compute(msrest.serialization.Model):
     """
 
     _validation = {
-        'compute_type': {'required': True},
-        'provisioning_state': {'readonly': True},
-        'created_on': {'readonly': True},
-        'modified_on': {'readonly': True},
-        'provisioning_errors': {'readonly': True},
-        'is_attached_compute': {'readonly': True},
+        "compute_type": {"required": True},
+        "provisioning_state": {"readonly": True},
+        "created_on": {"readonly": True},
+        "modified_on": {"readonly": True},
+        "provisioning_errors": {"readonly": True},
+        "is_attached_compute": {"readonly": True},
     }
 
     _attribute_map = {
-        'compute_type': {'key': 'computeType', 'type': 'str'},
-        'compute_location': {'key': 'computeLocation', 'type': 'str'},
-        'provisioning_state': {'key': 'provisioningState', 'type': 'str'},
-        'description': {'key': 'description', 'type': 'str'},
-        'created_on': {'key': 'createdOn', 'type': 'iso-8601'},
-        'modified_on': {'key': 'modifiedOn', 'type': 'iso-8601'},
-        'resource_id': {'key': 'resourceId', 'type': 'str'},
-        'provisioning_errors': {'key': 'provisioningErrors', 'type': '[ErrorResponse]'},
-        'is_attached_compute': {'key': 'isAttachedCompute', 'type': 'bool'},
-        'disable_local_auth': {'key': 'disableLocalAuth', 'type': 'bool'},
+        "compute_type": {"key": "computeType", "type": "str"},
+        "compute_location": {"key": "computeLocation", "type": "str"},
+        "provisioning_state": {"key": "provisioningState", "type": "str"},
+        "description": {"key": "description", "type": "str"},
+        "created_on": {"key": "createdOn", "type": "iso-8601"},
+        "modified_on": {"key": "modifiedOn", "type": "iso-8601"},
+        "resource_id": {"key": "resourceId", "type": "str"},
+        "provisioning_errors": {"key": "provisioningErrors", "type": "[ErrorResponse]"},
+        "is_attached_compute": {"key": "isAttachedCompute", "type": "bool"},
+        "disable_local_auth": {"key": "disableLocalAuth", "type": "bool"},
     }
 
     _subtype_map = {
-        'compute_type': {'AKS': 'AKS', 'AmlCompute': 'AmlCompute', 'ComputeInstance': 'ComputeInstance',
-                         'DataFactory': 'DataFactory', 'DataLakeAnalytics': 'DataLakeAnalytics',
-                         'Databricks': 'Databricks', 'HDInsight': 'HDInsight', 'Kubernetes': 'Kubernetes',
-                         'SynapseSpark': 'SynapseSpark', 'VirtualMachine': 'VirtualMachine'}
-    }
-
-    def __init__(
-            self,
-            **kwargs
-    ):
+        "compute_type": {
+            "AKS": "AKS",
+            "AmlCompute": "AmlCompute",
+            "ComputeInstance": "ComputeInstance",
+            "DataFactory": "DataFactory",
+            "DataLakeAnalytics": "DataLakeAnalytics",
+            "Databricks": "Databricks",
+            "HDInsight": "HDInsight",
+            "Kubernetes": "Kubernetes",
+            "SynapseSpark": "SynapseSpark",
+            "VirtualMachine": "VirtualMachine",
+        }
+    }
+
+    def __init__(self, **kwargs):
         """
         :keyword compute_location: Location for the underlying compute.
         :paramtype compute_location: str
@@ -988,15 +957,15 @@ def __init__(
         """
         super(Compute, self).__init__(**kwargs)
         self.compute_type = None  # type: Optional[str]
-        self.compute_location = kwargs.get('compute_location', None)
+        self.compute_location = kwargs.get("compute_location", None)
         self.provisioning_state = None
-        self.description = kwargs.get('description', None)
+        self.description = kwargs.get("description", None)
         self.created_on = None
         self.modified_on = None
-        self.resource_id = kwargs.get('resource_id', None)
+        self.resource_id = kwargs.get("resource_id", None)
         self.provisioning_errors = None
         self.is_attached_compute = None
-        self.disable_local_auth = kwargs.get('disable_local_auth', None)
+        self.disable_local_auth = kwargs.get("disable_local_auth", None)
 
 
 class AKS(Compute, AKSSchema):
@@ -1038,32 +1007,29 @@ class AKS(Compute, AKSSchema):
     """
 
     _validation = {
-        'compute_type': {'required': True},
-        'provisioning_state': {'readonly': True},
-        'created_on': {'readonly': True},
-        'modified_on': {'readonly': True},
-        'provisioning_errors': {'readonly': True},
-        'is_attached_compute': {'readonly': True},
+        "compute_type": {"required": True},
+        "provisioning_state": {"readonly": True},
+        "created_on": {"readonly": True},
+        "modified_on": {"readonly": True},
+        "provisioning_errors": {"readonly": True},
+        "is_attached_compute": {"readonly": True},
     }
 
     _attribute_map = {
-        'properties': {'key': 'properties', 'type': 'AKSSchemaProperties'},
-        'compute_type': {'key': 'computeType', 'type': 'str'},
-        'compute_location': {'key': 'computeLocation', 'type': 'str'},
-        'provisioning_state': {'key': 'provisioningState', 'type': 'str'},
-        'description': {'key': 'description', 'type': 'str'},
-        'created_on': {'key': 'createdOn', 'type': 'iso-8601'},
-        'modified_on': {'key': 'modifiedOn', 'type': 'iso-8601'},
-        'resource_id': {'key': 'resourceId', 'type': 'str'},
-        'provisioning_errors': {'key': 'provisioningErrors', 'type': '[ErrorResponse]'},
-        'is_attached_compute': {'key': 'isAttachedCompute', 'type': 'bool'},
-        'disable_local_auth': {'key': 'disableLocalAuth', 'type': 'bool'},
+        "properties": {"key": "properties", "type": "AKSSchemaProperties"},
+        "compute_type": {"key": "computeType", "type": "str"},
+        "compute_location": {"key": "computeLocation", "type": "str"},
+        "provisioning_state": {"key": "provisioningState", "type": "str"},
+        "description": {"key": "description", "type": "str"},
+        "created_on": {"key": "createdOn", "type": "iso-8601"},
+        "modified_on": {"key": "modifiedOn", "type": "iso-8601"},
+        "resource_id": {"key": "resourceId", "type": "str"},
+        "provisioning_errors": {"key": "provisioningErrors", "type": "[ErrorResponse]"},
+        "is_attached_compute": {"key": "isAttachedCompute", "type": "bool"},
+        "disable_local_auth": {"key": "disableLocalAuth", "type": "bool"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword properties: AKS properties.
         :paramtype properties: ~azure.mgmt.machinelearningservices.models.AKSSchemaProperties
@@ -1078,17 +1044,17 @@ def __init__(
         :paramtype disable_local_auth: bool
         """
         super(AKS, self).__init__(**kwargs)
-        self.properties = kwargs.get('properties', None)
-        self.compute_type = 'AKS'  # type: str
-        self.compute_location = kwargs.get('compute_location', None)
+        self.properties = kwargs.get("properties", None)
+        self.compute_type = "AKS"  # type: str
+        self.compute_location = kwargs.get("compute_location", None)
         self.provisioning_state = None
-        self.description = kwargs.get('description', None)
+        self.description = kwargs.get("description", None)
         self.created_on = None
         self.modified_on = None
-        self.resource_id = kwargs.get('resource_id', None)
+        self.resource_id = kwargs.get("resource_id", None)
         self.provisioning_errors = None
         self.is_attached_compute = None
-        self.disable_local_auth = kwargs.get('disable_local_auth', None)
+        self.disable_local_auth = kwargs.get("disable_local_auth", None)
 
 
 class AksComputeSecretsProperties(msrest.serialization.Model):
@@ -1105,15 +1071,12 @@ class AksComputeSecretsProperties(msrest.serialization.Model):
     """
 
     _attribute_map = {
-        'user_kube_config': {'key': 'userKubeConfig', 'type': 'str'},
-        'admin_kube_config': {'key': 'adminKubeConfig', 'type': 'str'},
-        'image_pull_secret_name': {'key': 'imagePullSecretName', 'type': 'str'},
+        "user_kube_config": {"key": "userKubeConfig", "type": "str"},
+        "admin_kube_config": {"key": "adminKubeConfig", "type": "str"},
+        "image_pull_secret_name": {"key": "imagePullSecretName", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword user_kube_config: Content of kubeconfig file that can be used to connect to the
          Kubernetes cluster.
@@ -1125,9 +1088,9 @@ def __init__(
         :paramtype image_pull_secret_name: str
         """
         super(AksComputeSecretsProperties, self).__init__(**kwargs)
-        self.user_kube_config = kwargs.get('user_kube_config', None)
-        self.admin_kube_config = kwargs.get('admin_kube_config', None)
-        self.image_pull_secret_name = kwargs.get('image_pull_secret_name', None)
+        self.user_kube_config = kwargs.get("user_kube_config", None)
+        self.admin_kube_config = kwargs.get("admin_kube_config", None)
+        self.image_pull_secret_name = kwargs.get("image_pull_secret_name", None)
 
 
 class ComputeSecrets(msrest.serialization.Model):
@@ -1145,24 +1108,23 @@ class ComputeSecrets(msrest.serialization.Model):
     """
 
     _validation = {
-        'compute_type': {'required': True},
+        "compute_type": {"required": True},
     }
 
     _attribute_map = {
-        'compute_type': {'key': 'computeType', 'type': 'str'},
+        "compute_type": {"key": "computeType", "type": "str"},
     }
 
     _subtype_map = {
-        'compute_type': {'AKS': 'AksComputeSecrets', 'Databricks': 'DatabricksComputeSecrets',
-                         'VirtualMachine': 'VirtualMachineSecrets'}
+        "compute_type": {
+            "AKS": "AksComputeSecrets",
+            "Databricks": "DatabricksComputeSecrets",
+            "VirtualMachine": "VirtualMachineSecrets",
+        }
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
-        """
-        """
+    def __init__(self, **kwargs):
+        """ """
         super(ComputeSecrets, self).__init__(**kwargs)
         self.compute_type = None  # type: Optional[str]
 
@@ -1187,20 +1149,17 @@ class AksComputeSecrets(ComputeSecrets, AksComputeSecretsProperties):
     """
 
     _validation = {
-        'compute_type': {'required': True},
+        "compute_type": {"required": True},
     }
 
     _attribute_map = {
-        'user_kube_config': {'key': 'userKubeConfig', 'type': 'str'},
-        'admin_kube_config': {'key': 'adminKubeConfig', 'type': 'str'},
-        'image_pull_secret_name': {'key': 'imagePullSecretName', 'type': 'str'},
-        'compute_type': {'key': 'computeType', 'type': 'str'},
+        "user_kube_config": {"key": "userKubeConfig", "type": "str"},
+        "admin_kube_config": {"key": "adminKubeConfig", "type": "str"},
+        "image_pull_secret_name": {"key": "imagePullSecretName", "type": "str"},
+        "compute_type": {"key": "computeType", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword user_kube_config: Content of kubeconfig file that can be used to connect to the
          Kubernetes cluster.
@@ -1212,10 +1171,10 @@ def __init__(
         :paramtype image_pull_secret_name: str
         """
         super(AksComputeSecrets, self).__init__(**kwargs)
-        self.user_kube_config = kwargs.get('user_kube_config', None)
-        self.admin_kube_config = kwargs.get('admin_kube_config', None)
-        self.image_pull_secret_name = kwargs.get('image_pull_secret_name', None)
-        self.compute_type = 'AKS'  # type: str
+        self.user_kube_config = kwargs.get("user_kube_config", None)
+        self.admin_kube_config = kwargs.get("admin_kube_config", None)
+        self.image_pull_secret_name = kwargs.get("image_pull_secret_name", None)
+        self.compute_type = "AKS"  # type: str
 
 
 class AksNetworkingConfiguration(msrest.serialization.Model):
@@ -1235,23 +1194,21 @@ class AksNetworkingConfiguration(msrest.serialization.Model):
     """
 
     _validation = {
-        'service_cidr': {'pattern': r'^([0-9]{1,3}\.){3}[0-9]{1,3}(\/([0-9]|[1-2][0-9]|3[0-2]))?$'},
-        'dns_service_ip': {
-            'pattern': r'^(?:(?:25[0-5]|2[0-4][0-9]|[01]?[0-9][0-9]?)\.){3}(?:25[0-5]|2[0-4][0-9]|[01]?[0-9][0-9]?)$'},
-        'docker_bridge_cidr': {'pattern': r'^([0-9]{1,3}\.){3}[0-9]{1,3}(\/([0-9]|[1-2][0-9]|3[0-2]))?$'},
+        "service_cidr": {"pattern": r"^([0-9]{1,3}\.){3}[0-9]{1,3}(\/([0-9]|[1-2][0-9]|3[0-2]))?$"},
+        "dns_service_ip": {
+            "pattern": r"^(?:(?:25[0-5]|2[0-4][0-9]|[01]?[0-9][0-9]?)\.){3}(?:25[0-5]|2[0-4][0-9]|[01]?[0-9][0-9]?)$"
+        },
+        "docker_bridge_cidr": {"pattern": r"^([0-9]{1,3}\.){3}[0-9]{1,3}(\/([0-9]|[1-2][0-9]|3[0-2]))?$"},
     }
 
     _attribute_map = {
-        'subnet_id': {'key': 'subnetId', 'type': 'str'},
-        'service_cidr': {'key': 'serviceCidr', 'type': 'str'},
-        'dns_service_ip': {'key': 'dnsServiceIP', 'type': 'str'},
-        'docker_bridge_cidr': {'key': 'dockerBridgeCidr', 'type': 'str'},
+        "subnet_id": {"key": "subnetId", "type": "str"},
+        "service_cidr": {"key": "serviceCidr", "type": "str"},
+        "dns_service_ip": {"key": "dnsServiceIP", "type": "str"},
+        "docker_bridge_cidr": {"key": "dockerBridgeCidr", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword subnet_id: Virtual network subnet resource ID the compute nodes belong to.
         :paramtype subnet_id: str
@@ -1266,10 +1223,10 @@ def __init__(
         :paramtype docker_bridge_cidr: str
         """
         super(AksNetworkingConfiguration, self).__init__(**kwargs)
-        self.subnet_id = kwargs.get('subnet_id', None)
-        self.service_cidr = kwargs.get('service_cidr', None)
-        self.dns_service_ip = kwargs.get('dns_service_ip', None)
-        self.docker_bridge_cidr = kwargs.get('docker_bridge_cidr', None)
+        self.subnet_id = kwargs.get("subnet_id", None)
+        self.service_cidr = kwargs.get("service_cidr", None)
+        self.dns_service_ip = kwargs.get("dns_service_ip", None)
+        self.docker_bridge_cidr = kwargs.get("docker_bridge_cidr", None)
 
 
 class AKSSchemaProperties(msrest.serialization.Model):
@@ -1301,26 +1258,23 @@ class AKSSchemaProperties(msrest.serialization.Model):
     """
 
     _validation = {
-        'system_services': {'readonly': True},
-        'agent_count': {'minimum': 0},
+        "system_services": {"readonly": True},
+        "agent_count": {"minimum": 0},
     }
 
     _attribute_map = {
-        'cluster_fqdn': {'key': 'clusterFqdn', 'type': 'str'},
-        'system_services': {'key': 'systemServices', 'type': '[SystemService]'},
-        'agent_count': {'key': 'agentCount', 'type': 'int'},
-        'agent_vm_size': {'key': 'agentVmSize', 'type': 'str'},
-        'cluster_purpose': {'key': 'clusterPurpose', 'type': 'str'},
-        'ssl_configuration': {'key': 'sslConfiguration', 'type': 'SslConfiguration'},
-        'aks_networking_configuration': {'key': 'aksNetworkingConfiguration', 'type': 'AksNetworkingConfiguration'},
-        'load_balancer_type': {'key': 'loadBalancerType', 'type': 'str'},
-        'load_balancer_subnet': {'key': 'loadBalancerSubnet', 'type': 'str'},
+        "cluster_fqdn": {"key": "clusterFqdn", "type": "str"},
+        "system_services": {"key": "systemServices", "type": "[SystemService]"},
+        "agent_count": {"key": "agentCount", "type": "int"},
+        "agent_vm_size": {"key": "agentVmSize", "type": "str"},
+        "cluster_purpose": {"key": "clusterPurpose", "type": "str"},
+        "ssl_configuration": {"key": "sslConfiguration", "type": "SslConfiguration"},
+        "aks_networking_configuration": {"key": "aksNetworkingConfiguration", "type": "AksNetworkingConfiguration"},
+        "load_balancer_type": {"key": "loadBalancerType", "type": "str"},
+        "load_balancer_subnet": {"key": "loadBalancerSubnet", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword cluster_fqdn: Cluster full qualified domain name.
         :paramtype cluster_fqdn: str
@@ -1344,15 +1298,15 @@ def __init__(
         :paramtype load_balancer_subnet: str
         """
         super(AKSSchemaProperties, self).__init__(**kwargs)
-        self.cluster_fqdn = kwargs.get('cluster_fqdn', None)
+        self.cluster_fqdn = kwargs.get("cluster_fqdn", None)
         self.system_services = None
-        self.agent_count = kwargs.get('agent_count', None)
-        self.agent_vm_size = kwargs.get('agent_vm_size', None)
-        self.cluster_purpose = kwargs.get('cluster_purpose', "FastProd")
-        self.ssl_configuration = kwargs.get('ssl_configuration', None)
-        self.aks_networking_configuration = kwargs.get('aks_networking_configuration', None)
-        self.load_balancer_type = kwargs.get('load_balancer_type', "PublicIp")
-        self.load_balancer_subnet = kwargs.get('load_balancer_subnet', None)
+        self.agent_count = kwargs.get("agent_count", None)
+        self.agent_vm_size = kwargs.get("agent_vm_size", None)
+        self.cluster_purpose = kwargs.get("cluster_purpose", "FastProd")
+        self.ssl_configuration = kwargs.get("ssl_configuration", None)
+        self.aks_networking_configuration = kwargs.get("aks_networking_configuration", None)
+        self.load_balancer_type = kwargs.get("load_balancer_type", "PublicIp")
+        self.load_balancer_subnet = kwargs.get("load_balancer_subnet", None)
 
 
 class MonitoringFeatureFilterBase(msrest.serialization.Model):
@@ -1371,24 +1325,23 @@ class MonitoringFeatureFilterBase(msrest.serialization.Model):
     """
 
     _validation = {
-        'filter_type': {'required': True},
+        "filter_type": {"required": True},
     }
 
     _attribute_map = {
-        'filter_type': {'key': 'filterType', 'type': 'str'},
+        "filter_type": {"key": "filterType", "type": "str"},
     }
 
     _subtype_map = {
-        'filter_type': {'AllFeatures': 'AllFeatures', 'FeatureSubset': 'FeatureSubset',
-                        'TopNByAttribution': 'TopNFeaturesByAttribution'}
+        "filter_type": {
+            "AllFeatures": "AllFeatures",
+            "FeatureSubset": "FeatureSubset",
+            "TopNByAttribution": "TopNFeaturesByAttribution",
+        }
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
-        """
-        """
+    def __init__(self, **kwargs):
+        """ """
         super(MonitoringFeatureFilterBase, self).__init__(**kwargs)
         self.filter_type = None  # type: Optional[str]
 
@@ -1406,21 +1359,17 @@ class AllFeatures(MonitoringFeatureFilterBase):
     """
 
     _validation = {
-        'filter_type': {'required': True},
+        "filter_type": {"required": True},
     }
 
     _attribute_map = {
-        'filter_type': {'key': 'filterType', 'type': 'str'},
+        "filter_type": {"key": "filterType", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
-        """
-        """
+    def __init__(self, **kwargs):
+        """ """
         super(AllFeatures, self).__init__(**kwargs)
-        self.filter_type = 'AllFeatures'  # type: str
+        self.filter_type = "AllFeatures"  # type: str
 
 
 class Nodes(msrest.serialization.Model):
@@ -1437,23 +1386,17 @@ class Nodes(msrest.serialization.Model):
     """
 
     _validation = {
-        'nodes_value_type': {'required': True},
+        "nodes_value_type": {"required": True},
     }
 
     _attribute_map = {
-        'nodes_value_type': {'key': 'nodesValueType', 'type': 'str'},
+        "nodes_value_type": {"key": "nodesValueType", "type": "str"},
     }
 
-    _subtype_map = {
-        'nodes_value_type': {'All': 'AllNodes'}
-    }
+    _subtype_map = {"nodes_value_type": {"All": "AllNodes"}}
 
-    def __init__(
-            self,
-            **kwargs
-    ):
-        """
-        """
+    def __init__(self, **kwargs):
+        """ """
         super(Nodes, self).__init__(**kwargs)
         self.nodes_value_type = None  # type: Optional[str]
 
@@ -1469,21 +1412,17 @@ class AllNodes(Nodes):
     """
 
     _validation = {
-        'nodes_value_type': {'required': True},
+        "nodes_value_type": {"required": True},
     }
 
     _attribute_map = {
-        'nodes_value_type': {'key': 'nodesValueType', 'type': 'str'},
+        "nodes_value_type": {"key": "nodesValueType", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
-        """
-        """
+    def __init__(self, **kwargs):
+        """ """
         super(AllNodes, self).__init__(**kwargs)
-        self.nodes_value_type = 'All'  # type: str
+        self.nodes_value_type = "All"  # type: str
 
 
 class AmlComputeSchema(msrest.serialization.Model):
@@ -1494,19 +1433,16 @@ class AmlComputeSchema(msrest.serialization.Model):
     """
 
     _attribute_map = {
-        'properties': {'key': 'properties', 'type': 'AmlComputeProperties'},
+        "properties": {"key": "properties", "type": "AmlComputeProperties"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword properties: Properties of AmlCompute.
         :paramtype properties: ~azure.mgmt.machinelearningservices.models.AmlComputeProperties
         """
         super(AmlComputeSchema, self).__init__(**kwargs)
-        self.properties = kwargs.get('properties', None)
+        self.properties = kwargs.get("properties", None)
 
 
 class AmlCompute(Compute, AmlComputeSchema):
@@ -1548,32 +1484,29 @@ class AmlCompute(Compute, AmlComputeSchema):
     """
 
     _validation = {
-        'compute_type': {'required': True},
-        'provisioning_state': {'readonly': True},
-        'created_on': {'readonly': True},
-        'modified_on': {'readonly': True},
-        'provisioning_errors': {'readonly': True},
-        'is_attached_compute': {'readonly': True},
+        "compute_type": {"required": True},
+        "provisioning_state": {"readonly": True},
+        "created_on": {"readonly": True},
+        "modified_on": {"readonly": True},
+        "provisioning_errors": {"readonly": True},
+        "is_attached_compute": {"readonly": True},
     }
 
     _attribute_map = {
-        'properties': {'key': 'properties', 'type': 'AmlComputeProperties'},
-        'compute_type': {'key': 'computeType', 'type': 'str'},
-        'compute_location': {'key': 'computeLocation', 'type': 'str'},
-        'provisioning_state': {'key': 'provisioningState', 'type': 'str'},
-        'description': {'key': 'description', 'type': 'str'},
-        'created_on': {'key': 'createdOn', 'type': 'iso-8601'},
-        'modified_on': {'key': 'modifiedOn', 'type': 'iso-8601'},
-        'resource_id': {'key': 'resourceId', 'type': 'str'},
-        'provisioning_errors': {'key': 'provisioningErrors', 'type': '[ErrorResponse]'},
-        'is_attached_compute': {'key': 'isAttachedCompute', 'type': 'bool'},
-        'disable_local_auth': {'key': 'disableLocalAuth', 'type': 'bool'},
+        "properties": {"key": "properties", "type": "AmlComputeProperties"},
+        "compute_type": {"key": "computeType", "type": "str"},
+        "compute_location": {"key": "computeLocation", "type": "str"},
+        "provisioning_state": {"key": "provisioningState", "type": "str"},
+        "description": {"key": "description", "type": "str"},
+        "created_on": {"key": "createdOn", "type": "iso-8601"},
+        "modified_on": {"key": "modifiedOn", "type": "iso-8601"},
+        "resource_id": {"key": "resourceId", "type": "str"},
+        "provisioning_errors": {"key": "provisioningErrors", "type": "[ErrorResponse]"},
+        "is_attached_compute": {"key": "isAttachedCompute", "type": "bool"},
+        "disable_local_auth": {"key": "disableLocalAuth", "type": "bool"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword properties: Properties of AmlCompute.
         :paramtype properties: ~azure.mgmt.machinelearningservices.models.AmlComputeProperties
@@ -1588,17 +1521,17 @@ def __init__(
         :paramtype disable_local_auth: bool
         """
         super(AmlCompute, self).__init__(**kwargs)
-        self.properties = kwargs.get('properties', None)
-        self.compute_type = 'AmlCompute'  # type: str
-        self.compute_location = kwargs.get('compute_location', None)
+        self.properties = kwargs.get("properties", None)
+        self.compute_type = "AmlCompute"  # type: str
+        self.compute_location = kwargs.get("compute_location", None)
         self.provisioning_state = None
-        self.description = kwargs.get('description', None)
+        self.description = kwargs.get("description", None)
         self.created_on = None
         self.modified_on = None
-        self.resource_id = kwargs.get('resource_id', None)
+        self.resource_id = kwargs.get("resource_id", None)
         self.provisioning_errors = None
         self.is_attached_compute = None
-        self.disable_local_auth = kwargs.get('disable_local_auth', None)
+        self.disable_local_auth = kwargs.get("disable_local_auth", None)
 
 
 class AmlComputeNodeInformation(msrest.serialization.Model):
@@ -1623,29 +1556,25 @@ class AmlComputeNodeInformation(msrest.serialization.Model):
     """
 
     _validation = {
-        'node_id': {'readonly': True},
-        'private_ip_address': {'readonly': True},
-        'public_ip_address': {'readonly': True},
-        'port': {'readonly': True},
-        'node_state': {'readonly': True},
-        'run_id': {'readonly': True},
+        "node_id": {"readonly": True},
+        "private_ip_address": {"readonly": True},
+        "public_ip_address": {"readonly": True},
+        "port": {"readonly": True},
+        "node_state": {"readonly": True},
+        "run_id": {"readonly": True},
     }
 
     _attribute_map = {
-        'node_id': {'key': 'nodeId', 'type': 'str'},
-        'private_ip_address': {'key': 'privateIpAddress', 'type': 'str'},
-        'public_ip_address': {'key': 'publicIpAddress', 'type': 'str'},
-        'port': {'key': 'port', 'type': 'int'},
-        'node_state': {'key': 'nodeState', 'type': 'str'},
-        'run_id': {'key': 'runId', 'type': 'str'},
+        "node_id": {"key": "nodeId", "type": "str"},
+        "private_ip_address": {"key": "privateIpAddress", "type": "str"},
+        "public_ip_address": {"key": "publicIpAddress", "type": "str"},
+        "port": {"key": "port", "type": "int"},
+        "node_state": {"key": "nodeState", "type": "str"},
+        "run_id": {"key": "runId", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
-        """
-        """
+    def __init__(self, **kwargs):
+        """ """
         super(AmlComputeNodeInformation, self).__init__(**kwargs)
         self.node_id = None
         self.private_ip_address = None
@@ -1667,21 +1596,17 @@ class AmlComputeNodesInformation(msrest.serialization.Model):
     """
 
     _validation = {
-        'nodes': {'readonly': True},
-        'next_link': {'readonly': True},
+        "nodes": {"readonly": True},
+        "next_link": {"readonly": True},
     }
 
     _attribute_map = {
-        'nodes': {'key': 'nodes', 'type': '[AmlComputeNodeInformation]'},
-        'next_link': {'key': 'nextLink', 'type': 'str'},
+        "nodes": {"key": "nodes", "type": "[AmlComputeNodeInformation]"},
+        "next_link": {"key": "nextLink", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
-        """
-        """
+    def __init__(self, **kwargs):
+        """ """
         super(AmlComputeNodesInformation, self).__init__(**kwargs)
         self.nodes = None
         self.next_link = None
@@ -1752,38 +1677,35 @@ class AmlComputeProperties(msrest.serialization.Model):
     """
 
     _validation = {
-        'allocation_state': {'readonly': True},
-        'allocation_state_transition_time': {'readonly': True},
-        'errors': {'readonly': True},
-        'current_node_count': {'readonly': True},
-        'target_node_count': {'readonly': True},
-        'node_state_counts': {'readonly': True},
+        "allocation_state": {"readonly": True},
+        "allocation_state_transition_time": {"readonly": True},
+        "errors": {"readonly": True},
+        "current_node_count": {"readonly": True},
+        "target_node_count": {"readonly": True},
+        "node_state_counts": {"readonly": True},
     }
 
     _attribute_map = {
-        'os_type': {'key': 'osType', 'type': 'str'},
-        'vm_size': {'key': 'vmSize', 'type': 'str'},
-        'vm_priority': {'key': 'vmPriority', 'type': 'str'},
-        'virtual_machine_image': {'key': 'virtualMachineImage', 'type': 'VirtualMachineImage'},
-        'isolated_network': {'key': 'isolatedNetwork', 'type': 'bool'},
-        'scale_settings': {'key': 'scaleSettings', 'type': 'ScaleSettings'},
-        'user_account_credentials': {'key': 'userAccountCredentials', 'type': 'UserAccountCredentials'},
-        'subnet': {'key': 'subnet', 'type': 'ResourceId'},
-        'remote_login_port_public_access': {'key': 'remoteLoginPortPublicAccess', 'type': 'str'},
-        'allocation_state': {'key': 'allocationState', 'type': 'str'},
-        'allocation_state_transition_time': {'key': 'allocationStateTransitionTime', 'type': 'iso-8601'},
-        'errors': {'key': 'errors', 'type': '[ErrorResponse]'},
-        'current_node_count': {'key': 'currentNodeCount', 'type': 'int'},
-        'target_node_count': {'key': 'targetNodeCount', 'type': 'int'},
-        'node_state_counts': {'key': 'nodeStateCounts', 'type': 'NodeStateCounts'},
-        'enable_node_public_ip': {'key': 'enableNodePublicIp', 'type': 'bool'},
-        'property_bag': {'key': 'propertyBag', 'type': 'object'},
+        "os_type": {"key": "osType", "type": "str"},
+        "vm_size": {"key": "vmSize", "type": "str"},
+        "vm_priority": {"key": "vmPriority", "type": "str"},
+        "virtual_machine_image": {"key": "virtualMachineImage", "type": "VirtualMachineImage"},
+        "isolated_network": {"key": "isolatedNetwork", "type": "bool"},
+        "scale_settings": {"key": "scaleSettings", "type": "ScaleSettings"},
+        "user_account_credentials": {"key": "userAccountCredentials", "type": "UserAccountCredentials"},
+        "subnet": {"key": "subnet", "type": "ResourceId"},
+        "remote_login_port_public_access": {"key": "remoteLoginPortPublicAccess", "type": "str"},
+        "allocation_state": {"key": "allocationState", "type": "str"},
+        "allocation_state_transition_time": {"key": "allocationStateTransitionTime", "type": "iso-8601"},
+        "errors": {"key": "errors", "type": "[ErrorResponse]"},
+        "current_node_count": {"key": "currentNodeCount", "type": "int"},
+        "target_node_count": {"key": "targetNodeCount", "type": "int"},
+        "node_state_counts": {"key": "nodeStateCounts", "type": "NodeStateCounts"},
+        "enable_node_public_ip": {"key": "enableNodePublicIp", "type": "bool"},
+        "property_bag": {"key": "propertyBag", "type": "object"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword os_type: Compute OS Type. Possible values include: "Linux", "Windows". Default value:
          "Linux".
@@ -1824,23 +1746,23 @@ def __init__(
         :paramtype property_bag: any
         """
         super(AmlComputeProperties, self).__init__(**kwargs)
-        self.os_type = kwargs.get('os_type', "Linux")
-        self.vm_size = kwargs.get('vm_size', None)
-        self.vm_priority = kwargs.get('vm_priority', None)
-        self.virtual_machine_image = kwargs.get('virtual_machine_image', None)
-        self.isolated_network = kwargs.get('isolated_network', None)
-        self.scale_settings = kwargs.get('scale_settings', None)
-        self.user_account_credentials = kwargs.get('user_account_credentials', None)
-        self.subnet = kwargs.get('subnet', None)
-        self.remote_login_port_public_access = kwargs.get('remote_login_port_public_access', "NotSpecified")
+        self.os_type = kwargs.get("os_type", "Linux")
+        self.vm_size = kwargs.get("vm_size", None)
+        self.vm_priority = kwargs.get("vm_priority", None)
+        self.virtual_machine_image = kwargs.get("virtual_machine_image", None)
+        self.isolated_network = kwargs.get("isolated_network", None)
+        self.scale_settings = kwargs.get("scale_settings", None)
+        self.user_account_credentials = kwargs.get("user_account_credentials", None)
+        self.subnet = kwargs.get("subnet", None)
+        self.remote_login_port_public_access = kwargs.get("remote_login_port_public_access", "NotSpecified")
         self.allocation_state = None
         self.allocation_state_transition_time = None
         self.errors = None
         self.current_node_count = None
         self.target_node_count = None
         self.node_state_counts = None
-        self.enable_node_public_ip = kwargs.get('enable_node_public_ip', True)
-        self.property_bag = kwargs.get('property_bag', None)
+        self.enable_node_public_ip = kwargs.get("enable_node_public_ip", True)
+        self.property_bag = kwargs.get("property_bag", None)
 
 
 class IdentityConfiguration(msrest.serialization.Model):
@@ -1858,23 +1780,19 @@ class IdentityConfiguration(msrest.serialization.Model):
     """
 
     _validation = {
-        'identity_type': {'required': True},
+        "identity_type": {"required": True},
     }
 
     _attribute_map = {
-        'identity_type': {'key': 'identityType', 'type': 'str'},
+        "identity_type": {"key": "identityType", "type": "str"},
     }
 
     _subtype_map = {
-        'identity_type': {'AMLToken': 'AmlToken', 'Managed': 'ManagedIdentity', 'UserIdentity': 'UserIdentity'}
+        "identity_type": {"AMLToken": "AmlToken", "Managed": "ManagedIdentity", "UserIdentity": "UserIdentity"}
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
-        """
-        """
+    def __init__(self, **kwargs):
+        """ """
         super(IdentityConfiguration, self).__init__(**kwargs)
         self.identity_type = None  # type: Optional[str]
 
@@ -1891,21 +1809,17 @@ class AmlToken(IdentityConfiguration):
     """
 
     _validation = {
-        'identity_type': {'required': True},
+        "identity_type": {"required": True},
     }
 
     _attribute_map = {
-        'identity_type': {'key': 'identityType', 'type': 'str'},
+        "identity_type": {"key": "identityType", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
-        """
-        """
+    def __init__(self, **kwargs):
+        """ """
         super(AmlToken, self).__init__(**kwargs)
-        self.identity_type = 'AMLToken'  # type: str
+        self.identity_type = "AMLToken"  # type: str
 
 
 class MonitorComputeIdentityBase(msrest.serialization.Model):
@@ -1923,23 +1837,19 @@ class MonitorComputeIdentityBase(msrest.serialization.Model):
     """
 
     _validation = {
-        'compute_identity_type': {'required': True},
+        "compute_identity_type": {"required": True},
     }
 
     _attribute_map = {
-        'compute_identity_type': {'key': 'computeIdentityType', 'type': 'str'},
+        "compute_identity_type": {"key": "computeIdentityType", "type": "str"},
     }
 
     _subtype_map = {
-        'compute_identity_type': {'AmlToken': 'AmlTokenComputeIdentity', 'ManagedIdentity': 'ManagedComputeIdentity'}
+        "compute_identity_type": {"AmlToken": "AmlTokenComputeIdentity", "ManagedIdentity": "ManagedComputeIdentity"}
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
-        """
-        """
+    def __init__(self, **kwargs):
+        """ """
         super(MonitorComputeIdentityBase, self).__init__(**kwargs)
         self.compute_identity_type = None  # type: Optional[str]
 
@@ -1956,21 +1866,17 @@ class AmlTokenComputeIdentity(MonitorComputeIdentityBase):
     """
 
     _validation = {
-        'compute_identity_type': {'required': True},
+        "compute_identity_type": {"required": True},
     }
 
     _attribute_map = {
-        'compute_identity_type': {'key': 'computeIdentityType', 'type': 'str'},
+        "compute_identity_type": {"key": "computeIdentityType", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
-        """
-        """
+    def __init__(self, **kwargs):
+        """ """
         super(AmlTokenComputeIdentity, self).__init__(**kwargs)
-        self.compute_identity_type = 'AmlToken'  # type: str
+        self.compute_identity_type = "AmlToken"  # type: str
 
 
 class AmlUserFeature(msrest.serialization.Model):
@@ -1985,15 +1891,12 @@ class AmlUserFeature(msrest.serialization.Model):
     """
 
     _attribute_map = {
-        'id': {'key': 'id', 'type': 'str'},
-        'display_name': {'key': 'displayName', 'type': 'str'},
-        'description': {'key': 'description', 'type': 'str'},
+        "id": {"key": "id", "type": "str"},
+        "display_name": {"key": "displayName", "type": "str"},
+        "description": {"key": "description", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword id: Specifies the feature ID.
         :paramtype id: str
@@ -2003,9 +1906,9 @@ def __init__(
         :paramtype description: str
         """
         super(AmlUserFeature, self).__init__(**kwargs)
-        self.id = kwargs.get('id', None)
-        self.display_name = kwargs.get('display_name', None)
-        self.description = kwargs.get('description', None)
+        self.id = kwargs.get("id", None)
+        self.display_name = kwargs.get("display_name", None)
+        self.description = kwargs.get("description", None)
 
 
 class DataReferenceCredential(msrest.serialization.Model):
@@ -2024,24 +1927,24 @@ class DataReferenceCredential(msrest.serialization.Model):
     """
 
     _validation = {
-        'credential_type': {'required': True},
+        "credential_type": {"required": True},
     }
 
     _attribute_map = {
-        'credential_type': {'key': 'credentialType', 'type': 'str'},
+        "credential_type": {"key": "credentialType", "type": "str"},
     }
 
     _subtype_map = {
-        'credential_type': {'DockerCredentials': 'DockerCredential', 'ManagedIdentity': 'ManagedIdentityCredential',
-                            'NoCredentials': 'AnonymousAccessCredential', 'SAS': 'SASCredential'}
+        "credential_type": {
+            "DockerCredentials": "DockerCredential",
+            "ManagedIdentity": "ManagedIdentityCredential",
+            "NoCredentials": "AnonymousAccessCredential",
+            "SAS": "SASCredential",
+        }
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
-        """
-        """
+    def __init__(self, **kwargs):
+        """ """
         super(DataReferenceCredential, self).__init__(**kwargs)
         self.credential_type = None  # type: Optional[str]
 
@@ -2059,113 +1962,106 @@ class AnonymousAccessCredential(DataReferenceCredential):
     """
 
     _validation = {
-        'credential_type': {'required': True},
+        "credential_type": {"required": True},
     }
 
     _attribute_map = {
-        'credential_type': {'key': 'credentialType', 'type': 'str'},
+        "credential_type": {"key": "credentialType", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
-        """
-        """
+    def __init__(self, **kwargs):
+        """ """
         super(AnonymousAccessCredential, self).__init__(**kwargs)
-        self.credential_type = 'NoCredentials'  # type: str
+        self.credential_type = "NoCredentials"  # type: str
 
 
 class ApiKeyAuthWorkspaceConnectionProperties(WorkspaceConnectionPropertiesV2):
     """This connection type covers the generic ApiKey auth connection categories, for examples:
-AzureOpenAI:
-    Category:= AzureOpenAI
-    AuthType:= ApiKey (as type discriminator)
-    Credentials:= {ApiKey} as Microsoft.MachineLearning.AccountRP.Contracts.WorkspaceConnection.ApiKey
-    Target:= {ApiBase}
-
-CognitiveService:
-    Category:= CognitiveService
-    AuthType:= ApiKey (as type discriminator)
-    Credentials:= {SubscriptionKey} as Microsoft.MachineLearning.AccountRP.Contracts.WorkspaceConnection.ApiKey
-    Target:= ServiceRegion={serviceRegion}
-
-CognitiveSearch:
-    Category:= CognitiveSearch
-    AuthType:= ApiKey (as type discriminator)
-    Credentials:= {Key} as Microsoft.MachineLearning.AccountRP.Contracts.WorkspaceConnection.ApiKey
-    Target:= {Endpoint}
-
-Use Metadata property bag for ApiType, ApiVersion, Kind and other metadata fields.
-
-    Variables are only populated by the server, and will be ignored when sending a request.
-
-    All required parameters must be populated in order to send to Azure.
-
-    :ivar auth_type: Required. Authentication type of the connection target.Constant filled by
-     server. Possible values include: "PAT", "ManagedIdentity", "UsernamePassword", "None", "SAS",
-     "AccountKey", "ServicePrincipal", "AccessKey", "ApiKey", "CustomKeys", "OAuth2", "AAD".
-    :vartype auth_type: str or ~azure.mgmt.machinelearningservices.models.ConnectionAuthType
-    :ivar category: Category of the connection. Possible values include: "PythonFeed",
-     "ContainerRegistry", "Git", "S3", "Snowflake", "AzureSqlDb", "AzureSynapseAnalytics",
-     "AzureMySqlDb", "AzurePostgresDb", "ADLSGen2", "Redis", "ApiKey", "AzureOpenAI",
-     "CognitiveSearch", "CognitiveService", "CustomKeys", "AzureBlob", "AzureOneLake", "CosmosDb",
-     "CosmosDbMongoDbApi", "AzureDataExplorer", "AzureMariaDb", "AzureDatabricksDeltaLake",
-     "AzureSqlMi", "AzureTableStorage", "AmazonRdsForOracle", "AmazonRdsForSqlServer",
-     "AmazonRedshift", "Db2", "Drill", "GoogleBigQuery", "Greenplum", "Hbase", "Hive", "Impala",
-     "Informix", "MariaDb", "MicrosoftAccess", "MySql", "Netezza", "Oracle", "Phoenix",
-     "PostgreSql", "Presto", "SapOpenHub", "SapBw", "SapHana", "SapTable", "Spark", "SqlServer",
-     "Sybase", "Teradata", "Vertica", "Cassandra", "Couchbase", "MongoDbV2", "MongoDbAtlas",
-     "AmazonS3Compatible", "FileServer", "FtpServer", "GoogleCloudStorage", "Hdfs",
-     "OracleCloudStorage", "Sftp", "GenericHttp", "ODataRest", "Odbc", "GenericRest", "AmazonMws",
-     "Concur", "Dynamics", "DynamicsAx", "DynamicsCrm", "GoogleAdWords", "Hubspot", "Jira",
-     "Magento", "Marketo", "Office365", "Eloqua", "Responsys", "OracleServiceCloud", "PayPal",
-     "QuickBooks", "Salesforce", "SalesforceServiceCloud", "SalesforceMarketingCloud",
-     "SapCloudForCustomer", "SapEcc", "ServiceNow", "SharePointOnlineList", "Shopify", "Square",
-     "WebTable", "Xero", "Zoho", "GenericContainerRegistry".
-    :vartype category: str or ~azure.mgmt.machinelearningservices.models.ConnectionCategory
-    :ivar created_by_workspace_arm_id:
-    :vartype created_by_workspace_arm_id: str
-    :ivar expiry_time:
-    :vartype expiry_time: ~datetime.datetime
-    :ivar group: Group based on connection category. Possible values include: "Azure", "AzureAI",
-     "Database", "NoSQL", "File", "GenericProtocol", "ServicesAndApps".
-    :vartype group: str or ~azure.mgmt.machinelearningservices.models.ConnectionGroup
-    :ivar is_shared_to_all:
-    :vartype is_shared_to_all: bool
-    :ivar metadata: Any object.
-    :vartype metadata: any
-    :ivar shared_user_list:
-    :vartype shared_user_list: list[str]
-    :ivar target:
-    :vartype target: str
-    :ivar credentials: Api key object for workspace connection credential.
-    :vartype credentials: ~azure.mgmt.machinelearningservices.models.WorkspaceConnectionApiKey
-    """
-
-    _validation = {
-        'auth_type': {'required': True},
-        'created_by_workspace_arm_id': {'readonly': True},
-        'group': {'readonly': True},
-    }
-
-    _attribute_map = {
-        'auth_type': {'key': 'authType', 'type': 'str'},
-        'category': {'key': 'category', 'type': 'str'},
-        'created_by_workspace_arm_id': {'key': 'createdByWorkspaceArmId', 'type': 'str'},
-        'expiry_time': {'key': 'expiryTime', 'type': 'iso-8601'},
-        'group': {'key': 'group', 'type': 'str'},
-        'is_shared_to_all': {'key': 'isSharedToAll', 'type': 'bool'},
-        'metadata': {'key': 'metadata', 'type': 'object'},
-        'shared_user_list': {'key': 'sharedUserList', 'type': '[str]'},
-        'target': {'key': 'target', 'type': 'str'},
-        'credentials': {'key': 'credentials', 'type': 'WorkspaceConnectionApiKey'},
-    }
-
-    def __init__(
-            self,
-            **kwargs
-    ):
+    AzureOpenAI:
+        Category:= AzureOpenAI
+        AuthType:= ApiKey (as type discriminator)
+        Credentials:= {ApiKey} as Microsoft.MachineLearning.AccountRP.Contracts.WorkspaceConnection.ApiKey
+        Target:= {ApiBase}
+
+    CognitiveService:
+        Category:= CognitiveService
+        AuthType:= ApiKey (as type discriminator)
+        Credentials:= {SubscriptionKey} as Microsoft.MachineLearning.AccountRP.Contracts.WorkspaceConnection.ApiKey
+        Target:= ServiceRegion={serviceRegion}
+
+    CognitiveSearch:
+        Category:= CognitiveSearch
+        AuthType:= ApiKey (as type discriminator)
+        Credentials:= {Key} as Microsoft.MachineLearning.AccountRP.Contracts.WorkspaceConnection.ApiKey
+        Target:= {Endpoint}
+
+    Use Metadata property bag for ApiType, ApiVersion, Kind and other metadata fields.
+
+        Variables are only populated by the server, and will be ignored when sending a request.
+
+        All required parameters must be populated in order to send to Azure.
+
+        :ivar auth_type: Required. Authentication type of the connection target.Constant filled by
+         server. Possible values include: "PAT", "ManagedIdentity", "UsernamePassword", "None", "SAS",
+         "AccountKey", "ServicePrincipal", "AccessKey", "ApiKey", "CustomKeys", "OAuth2", "AAD".
+        :vartype auth_type: str or ~azure.mgmt.machinelearningservices.models.ConnectionAuthType
+        :ivar category: Category of the connection. Possible values include: "PythonFeed",
+         "ContainerRegistry", "Git", "S3", "Snowflake", "AzureSqlDb", "AzureSynapseAnalytics",
+         "AzureMySqlDb", "AzurePostgresDb", "ADLSGen2", "Redis", "ApiKey", "AzureOpenAI",
+         "CognitiveSearch", "CognitiveService", "CustomKeys", "AzureBlob", "AzureOneLake", "CosmosDb",
+         "CosmosDbMongoDbApi", "AzureDataExplorer", "AzureMariaDb", "AzureDatabricksDeltaLake",
+         "AzureSqlMi", "AzureTableStorage", "AmazonRdsForOracle", "AmazonRdsForSqlServer",
+         "AmazonRedshift", "Db2", "Drill", "GoogleBigQuery", "Greenplum", "Hbase", "Hive", "Impala",
+         "Informix", "MariaDb", "MicrosoftAccess", "MySql", "Netezza", "Oracle", "Phoenix",
+         "PostgreSql", "Presto", "SapOpenHub", "SapBw", "SapHana", "SapTable", "Spark", "SqlServer",
+         "Sybase", "Teradata", "Vertica", "Cassandra", "Couchbase", "MongoDbV2", "MongoDbAtlas",
+         "AmazonS3Compatible", "FileServer", "FtpServer", "GoogleCloudStorage", "Hdfs",
+         "OracleCloudStorage", "Sftp", "GenericHttp", "ODataRest", "Odbc", "GenericRest", "AmazonMws",
+         "Concur", "Dynamics", "DynamicsAx", "DynamicsCrm", "GoogleAdWords", "Hubspot", "Jira",
+         "Magento", "Marketo", "Office365", "Eloqua", "Responsys", "OracleServiceCloud", "PayPal",
+         "QuickBooks", "Salesforce", "SalesforceServiceCloud", "SalesforceMarketingCloud",
+         "SapCloudForCustomer", "SapEcc", "ServiceNow", "SharePointOnlineList", "Shopify", "Square",
+         "WebTable", "Xero", "Zoho", "GenericContainerRegistry".
+        :vartype category: str or ~azure.mgmt.machinelearningservices.models.ConnectionCategory
+        :ivar created_by_workspace_arm_id:
+        :vartype created_by_workspace_arm_id: str
+        :ivar expiry_time:
+        :vartype expiry_time: ~datetime.datetime
+        :ivar group: Group based on connection category. Possible values include: "Azure", "AzureAI",
+         "Database", "NoSQL", "File", "GenericProtocol", "ServicesAndApps".
+        :vartype group: str or ~azure.mgmt.machinelearningservices.models.ConnectionGroup
+        :ivar is_shared_to_all:
+        :vartype is_shared_to_all: bool
+        :ivar metadata: Any object.
+        :vartype metadata: any
+        :ivar shared_user_list:
+        :vartype shared_user_list: list[str]
+        :ivar target:
+        :vartype target: str
+        :ivar credentials: Api key object for workspace connection credential.
+        :vartype credentials: ~azure.mgmt.machinelearningservices.models.WorkspaceConnectionApiKey
+    """
+
+    _validation = {
+        "auth_type": {"required": True},
+        "created_by_workspace_arm_id": {"readonly": True},
+        "group": {"readonly": True},
+    }
+
+    _attribute_map = {
+        "auth_type": {"key": "authType", "type": "str"},
+        "category": {"key": "category", "type": "str"},
+        "created_by_workspace_arm_id": {"key": "createdByWorkspaceArmId", "type": "str"},
+        "expiry_time": {"key": "expiryTime", "type": "iso-8601"},
+        "group": {"key": "group", "type": "str"},
+        "is_shared_to_all": {"key": "isSharedToAll", "type": "bool"},
+        "metadata": {"key": "metadata", "type": "object"},
+        "shared_user_list": {"key": "sharedUserList", "type": "[str]"},
+        "target": {"key": "target", "type": "str"},
+        "credentials": {"key": "credentials", "type": "WorkspaceConnectionApiKey"},
+    }
+
+    def __init__(self, **kwargs):
         """
         :keyword category: Category of the connection. Possible values include: "PythonFeed",
          "ContainerRegistry", "Git", "S3", "Snowflake", "AzureSqlDb", "AzureSynapseAnalytics",
@@ -2199,8 +2095,8 @@ def __init__(
         :paramtype credentials: ~azure.mgmt.machinelearningservices.models.WorkspaceConnectionApiKey
         """
         super(ApiKeyAuthWorkspaceConnectionProperties, self).__init__(**kwargs)
-        self.auth_type = 'ApiKey'  # type: str
-        self.credentials = kwargs.get('credentials', None)
+        self.auth_type = "ApiKey"  # type: str
+        self.credentials = kwargs.get("credentials", None)
 
 
 class ArmResourceId(msrest.serialization.Model):
@@ -2214,13 +2110,10 @@ class ArmResourceId(msrest.serialization.Model):
     """
 
     _attribute_map = {
-        'resource_id': {'key': 'resourceId', 'type': 'str'},
+        "resource_id": {"key": "resourceId", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword resource_id: Arm ResourceId is in the format
          "/subscriptions/{SubscriptionId}/resourceGroups/{ResourceGroupName}/providers/Microsoft.Storage/storageAccounts/{StorageAccountName}"
@@ -2229,7 +2122,7 @@ def __init__(
         :paramtype resource_id: str
         """
         super(ArmResourceId, self).__init__(**kwargs)
-        self.resource_id = kwargs.get('resource_id', None)
+        self.resource_id = kwargs.get("resource_id", None)
 
 
 class ResourceBase(msrest.serialization.Model):
@@ -2244,15 +2137,12 @@ class ResourceBase(msrest.serialization.Model):
     """
 
     _attribute_map = {
-        'description': {'key': 'description', 'type': 'str'},
-        'properties': {'key': 'properties', 'type': '{str}'},
-        'tags': {'key': 'tags', 'type': '{str}'},
+        "description": {"key": "description", "type": "str"},
+        "properties": {"key": "properties", "type": "{str}"},
+        "tags": {"key": "tags", "type": "{str}"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword description: The asset description text.
         :paramtype description: str
@@ -2262,9 +2152,9 @@ def __init__(
         :paramtype tags: dict[str, str]
         """
         super(ResourceBase, self).__init__(**kwargs)
-        self.description = kwargs.get('description', None)
-        self.properties = kwargs.get('properties', None)
-        self.tags = kwargs.get('tags', None)
+        self.description = kwargs.get("description", None)
+        self.properties = kwargs.get("properties", None)
+        self.tags = kwargs.get("tags", None)
 
 
 class AssetBase(ResourceBase):
@@ -2287,18 +2177,15 @@ class AssetBase(ResourceBase):
     """
 
     _attribute_map = {
-        'description': {'key': 'description', 'type': 'str'},
-        'properties': {'key': 'properties', 'type': '{str}'},
-        'tags': {'key': 'tags', 'type': '{str}'},
-        'auto_delete_setting': {'key': 'autoDeleteSetting', 'type': 'AutoDeleteSetting'},
-        'is_anonymous': {'key': 'isAnonymous', 'type': 'bool'},
-        'is_archived': {'key': 'isArchived', 'type': 'bool'},
+        "description": {"key": "description", "type": "str"},
+        "properties": {"key": "properties", "type": "{str}"},
+        "tags": {"key": "tags", "type": "{str}"},
+        "auto_delete_setting": {"key": "autoDeleteSetting", "type": "AutoDeleteSetting"},
+        "is_anonymous": {"key": "isAnonymous", "type": "bool"},
+        "is_archived": {"key": "isArchived", "type": "bool"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword description: The asset description text.
         :paramtype description: str
@@ -2316,9 +2203,9 @@ def __init__(
         :paramtype is_archived: bool
         """
         super(AssetBase, self).__init__(**kwargs)
-        self.auto_delete_setting = kwargs.get('auto_delete_setting', None)
-        self.is_anonymous = kwargs.get('is_anonymous', False)
-        self.is_archived = kwargs.get('is_archived', False)
+        self.auto_delete_setting = kwargs.get("auto_delete_setting", None)
+        self.is_anonymous = kwargs.get("is_anonymous", False)
+        self.is_archived = kwargs.get("is_archived", False)
 
 
 class AssetContainer(ResourceBase):
@@ -2341,23 +2228,20 @@ class AssetContainer(ResourceBase):
     """
 
     _validation = {
-        'latest_version': {'readonly': True},
-        'next_version': {'readonly': True},
+        "latest_version": {"readonly": True},
+        "next_version": {"readonly": True},
     }
 
     _attribute_map = {
-        'description': {'key': 'description', 'type': 'str'},
-        'properties': {'key': 'properties', 'type': '{str}'},
-        'tags': {'key': 'tags', 'type': '{str}'},
-        'is_archived': {'key': 'isArchived', 'type': 'bool'},
-        'latest_version': {'key': 'latestVersion', 'type': 'str'},
-        'next_version': {'key': 'nextVersion', 'type': 'str'},
+        "description": {"key": "description", "type": "str"},
+        "properties": {"key": "properties", "type": "{str}"},
+        "tags": {"key": "tags", "type": "{str}"},
+        "is_archived": {"key": "isArchived", "type": "bool"},
+        "latest_version": {"key": "latestVersion", "type": "str"},
+        "next_version": {"key": "nextVersion", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword description: The asset description text.
         :paramtype description: str
@@ -2369,7 +2253,7 @@ def __init__(
         :paramtype is_archived: bool
         """
         super(AssetContainer, self).__init__(**kwargs)
-        self.is_archived = kwargs.get('is_archived', False)
+        self.is_archived = kwargs.get("is_archived", False)
         self.latest_version = None
         self.next_version = None
 
@@ -2389,19 +2273,16 @@ class AssetJobInput(msrest.serialization.Model):
     """
 
     _validation = {
-        'uri': {'required': True, 'min_length': 1, 'pattern': r'[a-zA-Z0-9_]'},
+        "uri": {"required": True, "min_length": 1, "pattern": r"[a-zA-Z0-9_]"},
     }
 
     _attribute_map = {
-        'mode': {'key': 'mode', 'type': 'str'},
-        'path_on_compute': {'key': 'pathOnCompute', 'type': 'str'},
-        'uri': {'key': 'uri', 'type': 'str'},
+        "mode": {"key": "mode", "type": "str"},
+        "path_on_compute": {"key": "pathOnCompute", "type": "str"},
+        "uri": {"key": "uri", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword mode: Input Asset Delivery Mode. Possible values include: "ReadOnlyMount",
          "ReadWriteMount", "Download", "Direct", "EvalMount", "EvalDownload".
@@ -2412,9 +2293,9 @@ def __init__(
         :paramtype uri: str
         """
         super(AssetJobInput, self).__init__(**kwargs)
-        self.mode = kwargs.get('mode', None)
-        self.path_on_compute = kwargs.get('path_on_compute', None)
-        self.uri = kwargs['uri']
+        self.mode = kwargs.get("mode", None)
+        self.path_on_compute = kwargs.get("path_on_compute", None)
+        self.uri = kwargs["uri"]
 
 
 class AssetJobOutput(msrest.serialization.Model):
@@ -2436,18 +2317,15 @@ class AssetJobOutput(msrest.serialization.Model):
     """
 
     _attribute_map = {
-        'asset_name': {'key': 'assetName', 'type': 'str'},
-        'asset_version': {'key': 'assetVersion', 'type': 'str'},
-        'auto_delete_setting': {'key': 'autoDeleteSetting', 'type': 'AutoDeleteSetting'},
-        'mode': {'key': 'mode', 'type': 'str'},
-        'path_on_compute': {'key': 'pathOnCompute', 'type': 'str'},
-        'uri': {'key': 'uri', 'type': 'str'},
+        "asset_name": {"key": "assetName", "type": "str"},
+        "asset_version": {"key": "assetVersion", "type": "str"},
+        "auto_delete_setting": {"key": "autoDeleteSetting", "type": "AutoDeleteSetting"},
+        "mode": {"key": "mode", "type": "str"},
+        "path_on_compute": {"key": "pathOnCompute", "type": "str"},
+        "uri": {"key": "uri", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword asset_name: Output Asset Name.
         :paramtype asset_name: str
@@ -2464,12 +2342,12 @@ def __init__(
         :paramtype uri: str
         """
         super(AssetJobOutput, self).__init__(**kwargs)
-        self.asset_name = kwargs.get('asset_name', None)
-        self.asset_version = kwargs.get('asset_version', None)
-        self.auto_delete_setting = kwargs.get('auto_delete_setting', None)
-        self.mode = kwargs.get('mode', None)
-        self.path_on_compute = kwargs.get('path_on_compute', None)
-        self.uri = kwargs.get('uri', None)
+        self.asset_name = kwargs.get("asset_name", None)
+        self.asset_version = kwargs.get("asset_version", None)
+        self.auto_delete_setting = kwargs.get("auto_delete_setting", None)
+        self.mode = kwargs.get("mode", None)
+        self.path_on_compute = kwargs.get("path_on_compute", None)
+        self.uri = kwargs.get("uri", None)
 
 
 class AssetReferenceBase(msrest.serialization.Model):
@@ -2486,24 +2364,23 @@ class AssetReferenceBase(msrest.serialization.Model):
     """
 
     _validation = {
-        'reference_type': {'required': True},
+        "reference_type": {"required": True},
     }
 
     _attribute_map = {
-        'reference_type': {'key': 'referenceType', 'type': 'str'},
+        "reference_type": {"key": "referenceType", "type": "str"},
     }
 
     _subtype_map = {
-        'reference_type': {'DataPath': 'DataPathAssetReference', 'Id': 'IdAssetReference',
-                           'OutputPath': 'OutputPathAssetReference'}
+        "reference_type": {
+            "DataPath": "DataPathAssetReference",
+            "Id": "IdAssetReference",
+            "OutputPath": "OutputPathAssetReference",
+        }
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
-        """
-        """
+    def __init__(self, **kwargs):
+        """ """
         super(AssetReferenceBase, self).__init__(**kwargs)
         self.reference_type = None  # type: Optional[str]
 
@@ -2520,19 +2397,16 @@ class AssignedUser(msrest.serialization.Model):
     """
 
     _validation = {
-        'object_id': {'required': True},
-        'tenant_id': {'required': True},
+        "object_id": {"required": True},
+        "tenant_id": {"required": True},
     }
 
     _attribute_map = {
-        'object_id': {'key': 'objectId', 'type': 'str'},
-        'tenant_id': {'key': 'tenantId', 'type': 'str'},
+        "object_id": {"key": "objectId", "type": "str"},
+        "tenant_id": {"key": "tenantId", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword object_id: Required. User’s AAD Object Id.
         :paramtype object_id: str
@@ -2540,8 +2414,8 @@ def __init__(
         :paramtype tenant_id: str
         """
         super(AssignedUser, self).__init__(**kwargs)
-        self.object_id = kwargs['object_id']
-        self.tenant_id = kwargs['tenant_id']
+        self.object_id = kwargs["object_id"]
+        self.tenant_id = kwargs["tenant_id"]
 
 
 class AutoDeleteSetting(msrest.serialization.Model):
@@ -2555,14 +2429,11 @@ class AutoDeleteSetting(msrest.serialization.Model):
     """
 
     _attribute_map = {
-        'condition': {'key': 'condition', 'type': 'str'},
-        'value': {'key': 'value', 'type': 'str'},
+        "condition": {"key": "condition", "type": "str"},
+        "value": {"key": "value", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword condition: When to check if an asset is expired. Possible values include:
          "CreatedGreaterThan", "LastAccessedGreaterThan".
@@ -2571,8 +2442,8 @@ def __init__(
         :paramtype value: str
         """
         super(AutoDeleteSetting, self).__init__(**kwargs)
-        self.condition = kwargs.get('condition', None)
-        self.value = kwargs.get('value', None)
+        self.condition = kwargs.get("condition", None)
+        self.value = kwargs.get("value", None)
 
 
 class ForecastHorizon(msrest.serialization.Model):
@@ -2589,23 +2460,17 @@ class ForecastHorizon(msrest.serialization.Model):
     """
 
     _validation = {
-        'mode': {'required': True},
+        "mode": {"required": True},
     }
 
     _attribute_map = {
-        'mode': {'key': 'mode', 'type': 'str'},
+        "mode": {"key": "mode", "type": "str"},
     }
 
-    _subtype_map = {
-        'mode': {'Auto': 'AutoForecastHorizon', 'Custom': 'CustomForecastHorizon'}
-    }
+    _subtype_map = {"mode": {"Auto": "AutoForecastHorizon", "Custom": "CustomForecastHorizon"}}
 
-    def __init__(
-            self,
-            **kwargs
-    ):
-        """
-        """
+    def __init__(self, **kwargs):
+        """ """
         super(ForecastHorizon, self).__init__(**kwargs)
         self.mode = None  # type: Optional[str]
 
@@ -2621,21 +2486,17 @@ class AutoForecastHorizon(ForecastHorizon):
     """
 
     _validation = {
-        'mode': {'required': True},
+        "mode": {"required": True},
     }
 
     _attribute_map = {
-        'mode': {'key': 'mode', 'type': 'str'},
+        "mode": {"key": "mode", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
-        """
-        """
+    def __init__(self, **kwargs):
+        """ """
         super(AutoForecastHorizon, self).__init__(**kwargs)
-        self.mode = 'Auto'  # type: str
+        self.mode = "Auto"  # type: str
 
 
 class AutologgerSettings(msrest.serialization.Model):
@@ -2650,17 +2511,14 @@ class AutologgerSettings(msrest.serialization.Model):
     """
 
     _validation = {
-        'mlflow_autologger': {'required': True},
+        "mlflow_autologger": {"required": True},
     }
 
     _attribute_map = {
-        'mlflow_autologger': {'key': 'mlflowAutologger', 'type': 'str'},
+        "mlflow_autologger": {"key": "mlflowAutologger", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword mlflow_autologger: Required. [Required] Indicates whether mlflow autologger is
          enabled. Possible values include: "Enabled", "Disabled".
@@ -2668,7 +2526,7 @@ def __init__(
          ~azure.mgmt.machinelearningservices.models.MLFlowAutologgerState
         """
         super(AutologgerSettings, self).__init__(**kwargs)
-        self.mlflow_autologger = kwargs['mlflow_autologger']
+        self.mlflow_autologger = kwargs["mlflow_autologger"]
 
 
 class JobBaseProperties(ResourceBase):
@@ -2721,37 +2579,40 @@ class JobBaseProperties(ResourceBase):
     """
 
     _validation = {
-        'job_type': {'required': True},
-        'status': {'readonly': True},
+        "job_type": {"required": True},
+        "status": {"readonly": True},
     }
 
     _attribute_map = {
-        'description': {'key': 'description', 'type': 'str'},
-        'properties': {'key': 'properties', 'type': '{str}'},
-        'tags': {'key': 'tags', 'type': '{str}'},
-        'component_id': {'key': 'componentId', 'type': 'str'},
-        'compute_id': {'key': 'computeId', 'type': 'str'},
-        'display_name': {'key': 'displayName', 'type': 'str'},
-        'experiment_name': {'key': 'experimentName', 'type': 'str'},
-        'identity': {'key': 'identity', 'type': 'IdentityConfiguration'},
-        'is_archived': {'key': 'isArchived', 'type': 'bool'},
-        'job_type': {'key': 'jobType', 'type': 'str'},
-        'notification_setting': {'key': 'notificationSetting', 'type': 'NotificationSetting'},
-        'secrets_configuration': {'key': 'secretsConfiguration', 'type': '{SecretConfiguration}'},
-        'services': {'key': 'services', 'type': '{JobService}'},
-        'status': {'key': 'status', 'type': 'str'},
+        "description": {"key": "description", "type": "str"},
+        "properties": {"key": "properties", "type": "{str}"},
+        "tags": {"key": "tags", "type": "{str}"},
+        "component_id": {"key": "componentId", "type": "str"},
+        "compute_id": {"key": "computeId", "type": "str"},
+        "display_name": {"key": "displayName", "type": "str"},
+        "experiment_name": {"key": "experimentName", "type": "str"},
+        "identity": {"key": "identity", "type": "IdentityConfiguration"},
+        "is_archived": {"key": "isArchived", "type": "bool"},
+        "job_type": {"key": "jobType", "type": "str"},
+        "notification_setting": {"key": "notificationSetting", "type": "NotificationSetting"},
+        "secrets_configuration": {"key": "secretsConfiguration", "type": "{SecretConfiguration}"},
+        "services": {"key": "services", "type": "{JobService}"},
+        "status": {"key": "status", "type": "str"},
     }
 
     _subtype_map = {
-        'job_type': {'AutoML': 'AutoMLJob', 'Command': 'CommandJob', 'FineTuning': 'FineTuningJob',
-                     'Labeling': 'LabelingJobProperties', 'Pipeline': 'PipelineJob', 'Spark': 'SparkJob',
-                     'Sweep': 'SweepJob'}
+        "job_type": {
+            "AutoML": "AutoMLJob",
+            "Command": "CommandJob",
+            "FineTuning": "FineTuningJob",
+            "Labeling": "LabelingJobProperties",
+            "Pipeline": "PipelineJob",
+            "Spark": "SparkJob",
+            "Sweep": "SweepJob",
+        }
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword description: The asset description text.
         :paramtype description: str
@@ -2784,115 +2645,112 @@ def __init__(
         :paramtype services: dict[str, ~azure.mgmt.machinelearningservices.models.JobService]
         """
         super(JobBaseProperties, self).__init__(**kwargs)
-        self.component_id = kwargs.get('component_id', None)
-        self.compute_id = kwargs.get('compute_id', None)
-        self.display_name = kwargs.get('display_name', None)
-        self.experiment_name = kwargs.get('experiment_name', "Default")
-        self.identity = kwargs.get('identity', None)
-        self.is_archived = kwargs.get('is_archived', False)
-        self.job_type = 'JobBaseProperties'  # type: str
-        self.notification_setting = kwargs.get('notification_setting', None)
-        self.secrets_configuration = kwargs.get('secrets_configuration', None)
-        self.services = kwargs.get('services', None)
+        self.component_id = kwargs.get("component_id", None)
+        self.compute_id = kwargs.get("compute_id", None)
+        self.display_name = kwargs.get("display_name", None)
+        self.experiment_name = kwargs.get("experiment_name", "Default")
+        self.identity = kwargs.get("identity", None)
+        self.is_archived = kwargs.get("is_archived", False)
+        self.job_type = "JobBaseProperties"  # type: str
+        self.notification_setting = kwargs.get("notification_setting", None)
+        self.secrets_configuration = kwargs.get("secrets_configuration", None)
+        self.services = kwargs.get("services", None)
         self.status = None
 
 
 class AutoMLJob(JobBaseProperties):
     """AutoMLJob class.
-Use this class for executing AutoML tasks like Classification/Regression etc.
-See TaskType enum for all the tasks supported.
-
-    Variables are only populated by the server, and will be ignored when sending a request.
-
-    All required parameters must be populated in order to send to Azure.
-
-    :ivar description: The asset description text.
-    :vartype description: str
-    :ivar properties: The asset property dictionary.
-    :vartype properties: dict[str, str]
-    :ivar tags: A set of tags. Tag dictionary. Tags can be added, removed, and updated.
-    :vartype tags: dict[str, str]
-    :ivar component_id: ARM resource ID of the component resource.
-    :vartype component_id: str
-    :ivar compute_id: ARM resource ID of the compute resource.
-    :vartype compute_id: str
-    :ivar display_name: Display name of job.
-    :vartype display_name: str
-    :ivar experiment_name: The name of the experiment the job belongs to. If not set, the job is
-     placed in the "Default" experiment.
-    :vartype experiment_name: str
-    :ivar identity: Identity configuration. If set, this should be one of AmlToken,
-     ManagedIdentity, UserIdentity or null.
-     Defaults to AmlToken if null.
-    :vartype identity: ~azure.mgmt.machinelearningservices.models.IdentityConfiguration
-    :ivar is_archived: Is the asset archived?.
-    :vartype is_archived: bool
-    :ivar job_type: Required. [Required] Specifies the type of job.Constant filled by server.
-     Possible values include: "AutoML", "Command", "Labeling", "Sweep", "Pipeline", "Spark",
-     "FineTuning".
-    :vartype job_type: str or ~azure.mgmt.machinelearningservices.models.JobType
-    :ivar notification_setting: Notification setting for the job.
-    :vartype notification_setting: ~azure.mgmt.machinelearningservices.models.NotificationSetting
-    :ivar secrets_configuration: Configuration for secrets to be made available during runtime.
-    :vartype secrets_configuration: dict[str,
-     ~azure.mgmt.machinelearningservices.models.SecretConfiguration]
-    :ivar services: List of JobEndpoints.
-     For local jobs, a job endpoint will have an endpoint value of FileStreamObject.
-    :vartype services: dict[str, ~azure.mgmt.machinelearningservices.models.JobService]
-    :ivar status: Status of the job. Possible values include: "NotStarted", "Starting",
-     "Provisioning", "Preparing", "Queued", "Running", "Finalizing", "CancelRequested", "Completed",
-     "Failed", "Canceled", "NotResponding", "Paused", "Unknown", "Scheduled".
-    :vartype status: str or ~azure.mgmt.machinelearningservices.models.JobStatus
-    :ivar environment_id: The ARM resource ID of the Environment specification for the job.
-     This is optional value to provide, if not provided, AutoML will default this to Production
-     AutoML curated environment version when running the job.
-    :vartype environment_id: str
-    :ivar environment_variables: Environment variables included in the job.
-    :vartype environment_variables: dict[str, str]
-    :ivar outputs: Mapping of output data bindings used in the job.
-    :vartype outputs: dict[str, ~azure.mgmt.machinelearningservices.models.JobOutput]
-    :ivar queue_settings: Queue settings for the job.
-    :vartype queue_settings: ~azure.mgmt.machinelearningservices.models.QueueSettings
-    :ivar resources: Compute Resource configuration for the job.
-    :vartype resources: ~azure.mgmt.machinelearningservices.models.JobResourceConfiguration
-    :ivar task_details: Required. [Required] This represents scenario which can be one of
-     Tables/NLP/Image.
-    :vartype task_details: ~azure.mgmt.machinelearningservices.models.AutoMLVertical
+    Use this class for executing AutoML tasks like Classification/Regression etc.
+    See TaskType enum for all the tasks supported.
+
+        Variables are only populated by the server, and will be ignored when sending a request.
+
+        All required parameters must be populated in order to send to Azure.
+
+        :ivar description: The asset description text.
+        :vartype description: str
+        :ivar properties: The asset property dictionary.
+        :vartype properties: dict[str, str]
+        :ivar tags: A set of tags. Tag dictionary. Tags can be added, removed, and updated.
+        :vartype tags: dict[str, str]
+        :ivar component_id: ARM resource ID of the component resource.
+        :vartype component_id: str
+        :ivar compute_id: ARM resource ID of the compute resource.
+        :vartype compute_id: str
+        :ivar display_name: Display name of job.
+        :vartype display_name: str
+        :ivar experiment_name: The name of the experiment the job belongs to. If not set, the job is
+         placed in the "Default" experiment.
+        :vartype experiment_name: str
+        :ivar identity: Identity configuration. If set, this should be one of AmlToken,
+         ManagedIdentity, UserIdentity or null.
+         Defaults to AmlToken if null.
+        :vartype identity: ~azure.mgmt.machinelearningservices.models.IdentityConfiguration
+        :ivar is_archived: Is the asset archived?.
+        :vartype is_archived: bool
+        :ivar job_type: Required. [Required] Specifies the type of job.Constant filled by server.
+         Possible values include: "AutoML", "Command", "Labeling", "Sweep", "Pipeline", "Spark",
+         "FineTuning".
+        :vartype job_type: str or ~azure.mgmt.machinelearningservices.models.JobType
+        :ivar notification_setting: Notification setting for the job.
+        :vartype notification_setting: ~azure.mgmt.machinelearningservices.models.NotificationSetting
+        :ivar secrets_configuration: Configuration for secrets to be made available during runtime.
+        :vartype secrets_configuration: dict[str,
+         ~azure.mgmt.machinelearningservices.models.SecretConfiguration]
+        :ivar services: List of JobEndpoints.
+         For local jobs, a job endpoint will have an endpoint value of FileStreamObject.
+        :vartype services: dict[str, ~azure.mgmt.machinelearningservices.models.JobService]
+        :ivar status: Status of the job. Possible values include: "NotStarted", "Starting",
+         "Provisioning", "Preparing", "Queued", "Running", "Finalizing", "CancelRequested", "Completed",
+         "Failed", "Canceled", "NotResponding", "Paused", "Unknown", "Scheduled".
+        :vartype status: str or ~azure.mgmt.machinelearningservices.models.JobStatus
+        :ivar environment_id: The ARM resource ID of the Environment specification for the job.
+         This is optional value to provide, if not provided, AutoML will default this to Production
+         AutoML curated environment version when running the job.
+        :vartype environment_id: str
+        :ivar environment_variables: Environment variables included in the job.
+        :vartype environment_variables: dict[str, str]
+        :ivar outputs: Mapping of output data bindings used in the job.
+        :vartype outputs: dict[str, ~azure.mgmt.machinelearningservices.models.JobOutput]
+        :ivar queue_settings: Queue settings for the job.
+        :vartype queue_settings: ~azure.mgmt.machinelearningservices.models.QueueSettings
+        :ivar resources: Compute Resource configuration for the job.
+        :vartype resources: ~azure.mgmt.machinelearningservices.models.JobResourceConfiguration
+        :ivar task_details: Required. [Required] This represents scenario which can be one of
+         Tables/NLP/Image.
+        :vartype task_details: ~azure.mgmt.machinelearningservices.models.AutoMLVertical
     """
 
     _validation = {
-        'job_type': {'required': True},
-        'status': {'readonly': True},
-        'task_details': {'required': True},
+        "job_type": {"required": True},
+        "status": {"readonly": True},
+        "task_details": {"required": True},
     }
 
     _attribute_map = {
-        'description': {'key': 'description', 'type': 'str'},
-        'properties': {'key': 'properties', 'type': '{str}'},
-        'tags': {'key': 'tags', 'type': '{str}'},
-        'component_id': {'key': 'componentId', 'type': 'str'},
-        'compute_id': {'key': 'computeId', 'type': 'str'},
-        'display_name': {'key': 'displayName', 'type': 'str'},
-        'experiment_name': {'key': 'experimentName', 'type': 'str'},
-        'identity': {'key': 'identity', 'type': 'IdentityConfiguration'},
-        'is_archived': {'key': 'isArchived', 'type': 'bool'},
-        'job_type': {'key': 'jobType', 'type': 'str'},
-        'notification_setting': {'key': 'notificationSetting', 'type': 'NotificationSetting'},
-        'secrets_configuration': {'key': 'secretsConfiguration', 'type': '{SecretConfiguration}'},
-        'services': {'key': 'services', 'type': '{JobService}'},
-        'status': {'key': 'status', 'type': 'str'},
-        'environment_id': {'key': 'environmentId', 'type': 'str'},
-        'environment_variables': {'key': 'environmentVariables', 'type': '{str}'},
-        'outputs': {'key': 'outputs', 'type': '{JobOutput}'},
-        'queue_settings': {'key': 'queueSettings', 'type': 'QueueSettings'},
-        'resources': {'key': 'resources', 'type': 'JobResourceConfiguration'},
-        'task_details': {'key': 'taskDetails', 'type': 'AutoMLVertical'},
+        "description": {"key": "description", "type": "str"},
+        "properties": {"key": "properties", "type": "{str}"},
+        "tags": {"key": "tags", "type": "{str}"},
+        "component_id": {"key": "componentId", "type": "str"},
+        "compute_id": {"key": "computeId", "type": "str"},
+        "display_name": {"key": "displayName", "type": "str"},
+        "experiment_name": {"key": "experimentName", "type": "str"},
+        "identity": {"key": "identity", "type": "IdentityConfiguration"},
+        "is_archived": {"key": "isArchived", "type": "bool"},
+        "job_type": {"key": "jobType", "type": "str"},
+        "notification_setting": {"key": "notificationSetting", "type": "NotificationSetting"},
+        "secrets_configuration": {"key": "secretsConfiguration", "type": "{SecretConfiguration}"},
+        "services": {"key": "services", "type": "{JobService}"},
+        "status": {"key": "status", "type": "str"},
+        "environment_id": {"key": "environmentId", "type": "str"},
+        "environment_variables": {"key": "environmentVariables", "type": "{str}"},
+        "outputs": {"key": "outputs", "type": "{JobOutput}"},
+        "queue_settings": {"key": "queueSettings", "type": "QueueSettings"},
+        "resources": {"key": "resources", "type": "JobResourceConfiguration"},
+        "task_details": {"key": "taskDetails", "type": "AutoMLVertical"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword description: The asset description text.
         :paramtype description: str
@@ -2940,65 +2798,67 @@ def __init__(
         :paramtype task_details: ~azure.mgmt.machinelearningservices.models.AutoMLVertical
         """
         super(AutoMLJob, self).__init__(**kwargs)
-        self.job_type = 'AutoML'  # type: str
-        self.environment_id = kwargs.get('environment_id', None)
-        self.environment_variables = kwargs.get('environment_variables', None)
-        self.outputs = kwargs.get('outputs', None)
-        self.queue_settings = kwargs.get('queue_settings', None)
-        self.resources = kwargs.get('resources', None)
-        self.task_details = kwargs['task_details']
+        self.job_type = "AutoML"  # type: str
+        self.environment_id = kwargs.get("environment_id", None)
+        self.environment_variables = kwargs.get("environment_variables", None)
+        self.outputs = kwargs.get("outputs", None)
+        self.queue_settings = kwargs.get("queue_settings", None)
+        self.resources = kwargs.get("resources", None)
+        self.task_details = kwargs["task_details"]
 
 
 class AutoMLVertical(msrest.serialization.Model):
     """AutoML vertical class.
-Base class for AutoML verticals - TableVertical/ImageVertical/NLPVertical.
+    Base class for AutoML verticals - TableVertical/ImageVertical/NLPVertical.
 
-    You probably want to use the sub-classes and not this class directly. Known
-    sub-classes are: Classification, Forecasting, ImageClassification, ImageClassificationMultilabel, ImageInstanceSegmentation, ImageObjectDetection, Regression, TextClassification, TextClassificationMultilabel, TextNer.
+        You probably want to use the sub-classes and not this class directly. Known
+        sub-classes are: Classification, Forecasting, ImageClassification, ImageClassificationMultilabel, ImageInstanceSegmentation, ImageObjectDetection, Regression, TextClassification, TextClassificationMultilabel, TextNer.
 
-    All required parameters must be populated in order to send to Azure.
+        All required parameters must be populated in order to send to Azure.
 
-    :ivar log_verbosity: Log verbosity for the job. Possible values include: "NotSet", "Debug",
-     "Info", "Warning", "Error", "Critical".
-    :vartype log_verbosity: str or ~azure.mgmt.machinelearningservices.models.LogVerbosity
-    :ivar target_column_name: Target column name: This is prediction values column.
-     Also known as label column name in context of classification tasks.
-    :vartype target_column_name: str
-    :ivar task_type: Required. [Required] Task type for AutoMLJob.Constant filled by server.
-     Possible values include: "Classification", "Regression", "Forecasting", "ImageClassification",
-     "ImageClassificationMultilabel", "ImageObjectDetection", "ImageInstanceSegmentation",
-     "TextClassification", "TextClassificationMultilabel", "TextNER".
-    :vartype task_type: str or ~azure.mgmt.machinelearningservices.models.TaskType
-    :ivar training_data: Required. [Required] Training data input.
-    :vartype training_data: ~azure.mgmt.machinelearningservices.models.MLTableJobInput
+        :ivar log_verbosity: Log verbosity for the job. Possible values include: "NotSet", "Debug",
+         "Info", "Warning", "Error", "Critical".
+        :vartype log_verbosity: str or ~azure.mgmt.machinelearningservices.models.LogVerbosity
+        :ivar target_column_name: Target column name: This is prediction values column.
+         Also known as label column name in context of classification tasks.
+        :vartype target_column_name: str
+        :ivar task_type: Required. [Required] Task type for AutoMLJob.Constant filled by server.
+         Possible values include: "Classification", "Regression", "Forecasting", "ImageClassification",
+         "ImageClassificationMultilabel", "ImageObjectDetection", "ImageInstanceSegmentation",
+         "TextClassification", "TextClassificationMultilabel", "TextNER".
+        :vartype task_type: str or ~azure.mgmt.machinelearningservices.models.TaskType
+        :ivar training_data: Required. [Required] Training data input.
+        :vartype training_data: ~azure.mgmt.machinelearningservices.models.MLTableJobInput
     """
 
     _validation = {
-        'task_type': {'required': True},
-        'training_data': {'required': True},
+        "task_type": {"required": True},
+        "training_data": {"required": True},
     }
 
     _attribute_map = {
-        'log_verbosity': {'key': 'logVerbosity', 'type': 'str'},
-        'target_column_name': {'key': 'targetColumnName', 'type': 'str'},
-        'task_type': {'key': 'taskType', 'type': 'str'},
-        'training_data': {'key': 'trainingData', 'type': 'MLTableJobInput'},
+        "log_verbosity": {"key": "logVerbosity", "type": "str"},
+        "target_column_name": {"key": "targetColumnName", "type": "str"},
+        "task_type": {"key": "taskType", "type": "str"},
+        "training_data": {"key": "trainingData", "type": "MLTableJobInput"},
     }
 
     _subtype_map = {
-        'task_type': {'Classification': 'Classification', 'Forecasting': 'Forecasting',
-                      'ImageClassification': 'ImageClassification',
-                      'ImageClassificationMultilabel': 'ImageClassificationMultilabel',
-                      'ImageInstanceSegmentation': 'ImageInstanceSegmentation',
-                      'ImageObjectDetection': 'ImageObjectDetection', 'Regression': 'Regression',
-                      'TextClassification': 'TextClassification',
-                      'TextClassificationMultilabel': 'TextClassificationMultilabel', 'TextNER': 'TextNer'}
-    }
-
-    def __init__(
-            self,
-            **kwargs
-    ):
+        "task_type": {
+            "Classification": "Classification",
+            "Forecasting": "Forecasting",
+            "ImageClassification": "ImageClassification",
+            "ImageClassificationMultilabel": "ImageClassificationMultilabel",
+            "ImageInstanceSegmentation": "ImageInstanceSegmentation",
+            "ImageObjectDetection": "ImageObjectDetection",
+            "Regression": "Regression",
+            "TextClassification": "TextClassification",
+            "TextClassificationMultilabel": "TextClassificationMultilabel",
+            "TextNER": "TextNer",
+        }
+    }
+
+    def __init__(self, **kwargs):
         """
         :keyword log_verbosity: Log verbosity for the job. Possible values include: "NotSet", "Debug",
          "Info", "Warning", "Error", "Critical".
@@ -3010,10 +2870,10 @@ def __init__(
         :paramtype training_data: ~azure.mgmt.machinelearningservices.models.MLTableJobInput
         """
         super(AutoMLVertical, self).__init__(**kwargs)
-        self.log_verbosity = kwargs.get('log_verbosity', None)
-        self.target_column_name = kwargs.get('target_column_name', None)
+        self.log_verbosity = kwargs.get("log_verbosity", None)
+        self.target_column_name = kwargs.get("target_column_name", None)
         self.task_type = None  # type: Optional[str]
-        self.training_data = kwargs['training_data']
+        self.training_data = kwargs["training_data"]
 
 
 class NCrossValidations(msrest.serialization.Model):
@@ -3030,23 +2890,17 @@ class NCrossValidations(msrest.serialization.Model):
     """
 
     _validation = {
-        'mode': {'required': True},
+        "mode": {"required": True},
     }
 
     _attribute_map = {
-        'mode': {'key': 'mode', 'type': 'str'},
+        "mode": {"key": "mode", "type": "str"},
     }
 
-    _subtype_map = {
-        'mode': {'Auto': 'AutoNCrossValidations', 'Custom': 'CustomNCrossValidations'}
-    }
+    _subtype_map = {"mode": {"Auto": "AutoNCrossValidations", "Custom": "CustomNCrossValidations"}}
 
-    def __init__(
-            self,
-            **kwargs
-    ):
-        """
-        """
+    def __init__(self, **kwargs):
+        """ """
         super(NCrossValidations, self).__init__(**kwargs)
         self.mode = None  # type: Optional[str]
 
@@ -3062,21 +2916,17 @@ class AutoNCrossValidations(NCrossValidations):
     """
 
     _validation = {
-        'mode': {'required': True},
+        "mode": {"required": True},
     }
 
     _attribute_map = {
-        'mode': {'key': 'mode', 'type': 'str'},
+        "mode": {"key": "mode", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
-        """
-        """
+    def __init__(self, **kwargs):
+        """ """
         super(AutoNCrossValidations, self).__init__(**kwargs)
-        self.mode = 'Auto'  # type: str
+        self.mode = "Auto"  # type: str
 
 
 class AutoPauseProperties(msrest.serialization.Model):
@@ -3089,14 +2939,11 @@ class AutoPauseProperties(msrest.serialization.Model):
     """
 
     _attribute_map = {
-        'delay_in_minutes': {'key': 'delayInMinutes', 'type': 'int'},
-        'enabled': {'key': 'enabled', 'type': 'bool'},
+        "delay_in_minutes": {"key": "delayInMinutes", "type": "int"},
+        "enabled": {"key": "enabled", "type": "bool"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword delay_in_minutes:
         :paramtype delay_in_minutes: int
@@ -3104,8 +2951,8 @@ def __init__(
         :paramtype enabled: bool
         """
         super(AutoPauseProperties, self).__init__(**kwargs)
-        self.delay_in_minutes = kwargs.get('delay_in_minutes', None)
-        self.enabled = kwargs.get('enabled', None)
+        self.delay_in_minutes = kwargs.get("delay_in_minutes", None)
+        self.enabled = kwargs.get("enabled", None)
 
 
 class AutoScaleProperties(msrest.serialization.Model):
@@ -3120,15 +2967,12 @@ class AutoScaleProperties(msrest.serialization.Model):
     """
 
     _attribute_map = {
-        'min_node_count': {'key': 'minNodeCount', 'type': 'int'},
-        'enabled': {'key': 'enabled', 'type': 'bool'},
-        'max_node_count': {'key': 'maxNodeCount', 'type': 'int'},
+        "min_node_count": {"key": "minNodeCount", "type": "int"},
+        "enabled": {"key": "enabled", "type": "bool"},
+        "max_node_count": {"key": "maxNodeCount", "type": "int"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword min_node_count:
         :paramtype min_node_count: int
@@ -3138,9 +2982,9 @@ def __init__(
         :paramtype max_node_count: int
         """
         super(AutoScaleProperties, self).__init__(**kwargs)
-        self.min_node_count = kwargs.get('min_node_count', None)
-        self.enabled = kwargs.get('enabled', None)
-        self.max_node_count = kwargs.get('max_node_count', None)
+        self.min_node_count = kwargs.get("min_node_count", None)
+        self.enabled = kwargs.get("enabled", None)
+        self.max_node_count = kwargs.get("max_node_count", None)
 
 
 class Seasonality(msrest.serialization.Model):
@@ -3157,23 +3001,17 @@ class Seasonality(msrest.serialization.Model):
     """
 
     _validation = {
-        'mode': {'required': True},
+        "mode": {"required": True},
     }
 
     _attribute_map = {
-        'mode': {'key': 'mode', 'type': 'str'},
+        "mode": {"key": "mode", "type": "str"},
     }
 
-    _subtype_map = {
-        'mode': {'Auto': 'AutoSeasonality', 'Custom': 'CustomSeasonality'}
-    }
+    _subtype_map = {"mode": {"Auto": "AutoSeasonality", "Custom": "CustomSeasonality"}}
 
-    def __init__(
-            self,
-            **kwargs
-    ):
-        """
-        """
+    def __init__(self, **kwargs):
+        """ """
         super(Seasonality, self).__init__(**kwargs)
         self.mode = None  # type: Optional[str]
 
@@ -3189,21 +3027,17 @@ class AutoSeasonality(Seasonality):
     """
 
     _validation = {
-        'mode': {'required': True},
+        "mode": {"required": True},
     }
 
     _attribute_map = {
-        'mode': {'key': 'mode', 'type': 'str'},
+        "mode": {"key": "mode", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
-        """
-        """
+    def __init__(self, **kwargs):
+        """ """
         super(AutoSeasonality, self).__init__(**kwargs)
-        self.mode = 'Auto'  # type: str
+        self.mode = "Auto"  # type: str
 
 
 class TargetLags(msrest.serialization.Model):
@@ -3220,23 +3054,17 @@ class TargetLags(msrest.serialization.Model):
     """
 
     _validation = {
-        'mode': {'required': True},
+        "mode": {"required": True},
     }
 
     _attribute_map = {
-        'mode': {'key': 'mode', 'type': 'str'},
+        "mode": {"key": "mode", "type": "str"},
     }
 
-    _subtype_map = {
-        'mode': {'Auto': 'AutoTargetLags', 'Custom': 'CustomTargetLags'}
-    }
+    _subtype_map = {"mode": {"Auto": "AutoTargetLags", "Custom": "CustomTargetLags"}}
 
-    def __init__(
-            self,
-            **kwargs
-    ):
-        """
-        """
+    def __init__(self, **kwargs):
+        """ """
         super(TargetLags, self).__init__(**kwargs)
         self.mode = None  # type: Optional[str]
 
@@ -3252,21 +3080,17 @@ class AutoTargetLags(TargetLags):
     """
 
     _validation = {
-        'mode': {'required': True},
+        "mode": {"required": True},
     }
 
     _attribute_map = {
-        'mode': {'key': 'mode', 'type': 'str'},
+        "mode": {"key": "mode", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
-        """
-        """
+    def __init__(self, **kwargs):
+        """ """
         super(AutoTargetLags, self).__init__(**kwargs)
-        self.mode = 'Auto'  # type: str
+        self.mode = "Auto"  # type: str
 
 
 class TargetRollingWindowSize(msrest.serialization.Model):
@@ -3283,23 +3107,17 @@ class TargetRollingWindowSize(msrest.serialization.Model):
     """
 
     _validation = {
-        'mode': {'required': True},
+        "mode": {"required": True},
     }
 
     _attribute_map = {
-        'mode': {'key': 'mode', 'type': 'str'},
+        "mode": {"key": "mode", "type": "str"},
     }
 
-    _subtype_map = {
-        'mode': {'Auto': 'AutoTargetRollingWindowSize', 'Custom': 'CustomTargetRollingWindowSize'}
-    }
+    _subtype_map = {"mode": {"Auto": "AutoTargetRollingWindowSize", "Custom": "CustomTargetRollingWindowSize"}}
 
-    def __init__(
-            self,
-            **kwargs
-    ):
-        """
-        """
+    def __init__(self, **kwargs):
+        """ """
         super(TargetRollingWindowSize, self).__init__(**kwargs)
         self.mode = None  # type: Optional[str]
 
@@ -3315,21 +3133,17 @@ class AutoTargetRollingWindowSize(TargetRollingWindowSize):
     """
 
     _validation = {
-        'mode': {'required': True},
+        "mode": {"required": True},
     }
 
     _attribute_map = {
-        'mode': {'key': 'mode', 'type': 'str'},
+        "mode": {"key": "mode", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
-        """
-        """
+    def __init__(self, **kwargs):
+        """ """
         super(AutoTargetRollingWindowSize, self).__init__(**kwargs)
-        self.mode = 'Auto'  # type: str
+        self.mode = "Auto"  # type: str
 
 
 class AzureDatastore(msrest.serialization.Model):
@@ -3342,14 +3156,11 @@ class AzureDatastore(msrest.serialization.Model):
     """
 
     _attribute_map = {
-        'resource_group': {'key': 'resourceGroup', 'type': 'str'},
-        'subscription_id': {'key': 'subscriptionId', 'type': 'str'},
+        "resource_group": {"key": "resourceGroup", "type": "str"},
+        "subscription_id": {"key": "subscriptionId", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword resource_group: Azure Resource Group name.
         :paramtype resource_group: str
@@ -3357,8 +3168,8 @@ def __init__(
         :paramtype subscription_id: str
         """
         super(AzureDatastore, self).__init__(**kwargs)
-        self.resource_group = kwargs.get('resource_group', None)
-        self.subscription_id = kwargs.get('subscription_id', None)
+        self.resource_group = kwargs.get("resource_group", None)
+        self.subscription_id = kwargs.get("subscription_id", None)
 
 
 class DatastoreProperties(ResourceBase):
@@ -3391,31 +3202,33 @@ class DatastoreProperties(ResourceBase):
     """
 
     _validation = {
-        'credentials': {'required': True},
-        'datastore_type': {'required': True},
-        'is_default': {'readonly': True},
+        "credentials": {"required": True},
+        "datastore_type": {"required": True},
+        "is_default": {"readonly": True},
     }
 
     _attribute_map = {
-        'description': {'key': 'description', 'type': 'str'},
-        'properties': {'key': 'properties', 'type': '{str}'},
-        'tags': {'key': 'tags', 'type': '{str}'},
-        'credentials': {'key': 'credentials', 'type': 'DatastoreCredentials'},
-        'datastore_type': {'key': 'datastoreType', 'type': 'str'},
-        'intellectual_property': {'key': 'intellectualProperty', 'type': 'IntellectualProperty'},
-        'is_default': {'key': 'isDefault', 'type': 'bool'},
+        "description": {"key": "description", "type": "str"},
+        "properties": {"key": "properties", "type": "{str}"},
+        "tags": {"key": "tags", "type": "{str}"},
+        "credentials": {"key": "credentials", "type": "DatastoreCredentials"},
+        "datastore_type": {"key": "datastoreType", "type": "str"},
+        "intellectual_property": {"key": "intellectualProperty", "type": "IntellectualProperty"},
+        "is_default": {"key": "isDefault", "type": "bool"},
     }
 
     _subtype_map = {
-        'datastore_type': {'AzureBlob': 'AzureBlobDatastore', 'AzureDataLakeGen1': 'AzureDataLakeGen1Datastore',
-                           'AzureDataLakeGen2': 'AzureDataLakeGen2Datastore', 'AzureFile': 'AzureFileDatastore',
-                           'Hdfs': 'HdfsDatastore', 'OneLake': 'OneLakeDatastore'}
+        "datastore_type": {
+            "AzureBlob": "AzureBlobDatastore",
+            "AzureDataLakeGen1": "AzureDataLakeGen1Datastore",
+            "AzureDataLakeGen2": "AzureDataLakeGen2Datastore",
+            "AzureFile": "AzureFileDatastore",
+            "Hdfs": "HdfsDatastore",
+            "OneLake": "OneLakeDatastore",
+        }
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword description: The asset description text.
         :paramtype description: str
@@ -3430,9 +3243,9 @@ def __init__(
          ~azure.mgmt.machinelearningservices.models.IntellectualProperty
         """
         super(DatastoreProperties, self).__init__(**kwargs)
-        self.credentials = kwargs['credentials']
-        self.datastore_type = 'DatastoreProperties'  # type: str
-        self.intellectual_property = kwargs.get('intellectual_property', None)
+        self.credentials = kwargs["credentials"]
+        self.datastore_type = "DatastoreProperties"  # type: str
+        self.intellectual_property = kwargs.get("intellectual_property", None)
         self.is_default = None
 
 
@@ -3480,32 +3293,29 @@ class AzureBlobDatastore(DatastoreProperties, AzureDatastore):
     """
 
     _validation = {
-        'credentials': {'required': True},
-        'datastore_type': {'required': True},
-        'is_default': {'readonly': True},
+        "credentials": {"required": True},
+        "datastore_type": {"required": True},
+        "is_default": {"readonly": True},
     }
 
     _attribute_map = {
-        'resource_group': {'key': 'resourceGroup', 'type': 'str'},
-        'subscription_id': {'key': 'subscriptionId', 'type': 'str'},
-        'description': {'key': 'description', 'type': 'str'},
-        'properties': {'key': 'properties', 'type': '{str}'},
-        'tags': {'key': 'tags', 'type': '{str}'},
-        'credentials': {'key': 'credentials', 'type': 'DatastoreCredentials'},
-        'datastore_type': {'key': 'datastoreType', 'type': 'str'},
-        'intellectual_property': {'key': 'intellectualProperty', 'type': 'IntellectualProperty'},
-        'is_default': {'key': 'isDefault', 'type': 'bool'},
-        'account_name': {'key': 'accountName', 'type': 'str'},
-        'container_name': {'key': 'containerName', 'type': 'str'},
-        'endpoint': {'key': 'endpoint', 'type': 'str'},
-        'protocol': {'key': 'protocol', 'type': 'str'},
-        'service_data_access_auth_identity': {'key': 'serviceDataAccessAuthIdentity', 'type': 'str'},
+        "resource_group": {"key": "resourceGroup", "type": "str"},
+        "subscription_id": {"key": "subscriptionId", "type": "str"},
+        "description": {"key": "description", "type": "str"},
+        "properties": {"key": "properties", "type": "{str}"},
+        "tags": {"key": "tags", "type": "{str}"},
+        "credentials": {"key": "credentials", "type": "DatastoreCredentials"},
+        "datastore_type": {"key": "datastoreType", "type": "str"},
+        "intellectual_property": {"key": "intellectualProperty", "type": "IntellectualProperty"},
+        "is_default": {"key": "isDefault", "type": "bool"},
+        "account_name": {"key": "accountName", "type": "str"},
+        "container_name": {"key": "containerName", "type": "str"},
+        "endpoint": {"key": "endpoint", "type": "str"},
+        "protocol": {"key": "protocol", "type": "str"},
+        "service_data_access_auth_identity": {"key": "serviceDataAccessAuthIdentity", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword resource_group: Azure Resource Group name.
         :paramtype resource_group: str
@@ -3537,19 +3347,19 @@ def __init__(
          ~azure.mgmt.machinelearningservices.models.ServiceDataAccessAuthIdentity
         """
         super(AzureBlobDatastore, self).__init__(**kwargs)
-        self.resource_group = kwargs.get('resource_group', None)
-        self.subscription_id = kwargs.get('subscription_id', None)
-        self.datastore_type = 'AzureBlob'  # type: str
-        self.account_name = kwargs.get('account_name', None)
-        self.container_name = kwargs.get('container_name', None)
-        self.endpoint = kwargs.get('endpoint', None)
-        self.protocol = kwargs.get('protocol', None)
-        self.service_data_access_auth_identity = kwargs.get('service_data_access_auth_identity', None)
-        self.description = kwargs.get('description', None)
-        self.properties = kwargs.get('properties', None)
-        self.tags = kwargs.get('tags', None)
-        self.credentials = kwargs['credentials']
-        self.intellectual_property = kwargs.get('intellectual_property', None)
+        self.resource_group = kwargs.get("resource_group", None)
+        self.subscription_id = kwargs.get("subscription_id", None)
+        self.datastore_type = "AzureBlob"  # type: str
+        self.account_name = kwargs.get("account_name", None)
+        self.container_name = kwargs.get("container_name", None)
+        self.endpoint = kwargs.get("endpoint", None)
+        self.protocol = kwargs.get("protocol", None)
+        self.service_data_access_auth_identity = kwargs.get("service_data_access_auth_identity", None)
+        self.description = kwargs.get("description", None)
+        self.properties = kwargs.get("properties", None)
+        self.tags = kwargs.get("tags", None)
+        self.credentials = kwargs["credentials"]
+        self.intellectual_property = kwargs.get("intellectual_property", None)
         self.is_default = None
 
 
@@ -3591,30 +3401,27 @@ class AzureDataLakeGen1Datastore(DatastoreProperties, AzureDatastore):
     """
 
     _validation = {
-        'credentials': {'required': True},
-        'datastore_type': {'required': True},
-        'is_default': {'readonly': True},
-        'store_name': {'required': True, 'min_length': 1, 'pattern': r'[a-zA-Z0-9_]'},
+        "credentials": {"required": True},
+        "datastore_type": {"required": True},
+        "is_default": {"readonly": True},
+        "store_name": {"required": True, "min_length": 1, "pattern": r"[a-zA-Z0-9_]"},
     }
 
     _attribute_map = {
-        'resource_group': {'key': 'resourceGroup', 'type': 'str'},
-        'subscription_id': {'key': 'subscriptionId', 'type': 'str'},
-        'description': {'key': 'description', 'type': 'str'},
-        'properties': {'key': 'properties', 'type': '{str}'},
-        'tags': {'key': 'tags', 'type': '{str}'},
-        'credentials': {'key': 'credentials', 'type': 'DatastoreCredentials'},
-        'datastore_type': {'key': 'datastoreType', 'type': 'str'},
-        'intellectual_property': {'key': 'intellectualProperty', 'type': 'IntellectualProperty'},
-        'is_default': {'key': 'isDefault', 'type': 'bool'},
-        'service_data_access_auth_identity': {'key': 'serviceDataAccessAuthIdentity', 'type': 'str'},
-        'store_name': {'key': 'storeName', 'type': 'str'},
+        "resource_group": {"key": "resourceGroup", "type": "str"},
+        "subscription_id": {"key": "subscriptionId", "type": "str"},
+        "description": {"key": "description", "type": "str"},
+        "properties": {"key": "properties", "type": "{str}"},
+        "tags": {"key": "tags", "type": "{str}"},
+        "credentials": {"key": "credentials", "type": "DatastoreCredentials"},
+        "datastore_type": {"key": "datastoreType", "type": "str"},
+        "intellectual_property": {"key": "intellectualProperty", "type": "IntellectualProperty"},
+        "is_default": {"key": "isDefault", "type": "bool"},
+        "service_data_access_auth_identity": {"key": "serviceDataAccessAuthIdentity", "type": "str"},
+        "store_name": {"key": "storeName", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword resource_group: Azure Resource Group name.
         :paramtype resource_group: str
@@ -3640,16 +3447,16 @@ def __init__(
         :paramtype store_name: str
         """
         super(AzureDataLakeGen1Datastore, self).__init__(**kwargs)
-        self.resource_group = kwargs.get('resource_group', None)
-        self.subscription_id = kwargs.get('subscription_id', None)
-        self.datastore_type = 'AzureDataLakeGen1'  # type: str
-        self.service_data_access_auth_identity = kwargs.get('service_data_access_auth_identity', None)
-        self.store_name = kwargs['store_name']
-        self.description = kwargs.get('description', None)
-        self.properties = kwargs.get('properties', None)
-        self.tags = kwargs.get('tags', None)
-        self.credentials = kwargs['credentials']
-        self.intellectual_property = kwargs.get('intellectual_property', None)
+        self.resource_group = kwargs.get("resource_group", None)
+        self.subscription_id = kwargs.get("subscription_id", None)
+        self.datastore_type = "AzureDataLakeGen1"  # type: str
+        self.service_data_access_auth_identity = kwargs.get("service_data_access_auth_identity", None)
+        self.store_name = kwargs["store_name"]
+        self.description = kwargs.get("description", None)
+        self.properties = kwargs.get("properties", None)
+        self.tags = kwargs.get("tags", None)
+        self.credentials = kwargs["credentials"]
+        self.intellectual_property = kwargs.get("intellectual_property", None)
         self.is_default = None
 
 
@@ -3697,34 +3504,31 @@ class AzureDataLakeGen2Datastore(DatastoreProperties, AzureDatastore):
     """
 
     _validation = {
-        'credentials': {'required': True},
-        'datastore_type': {'required': True},
-        'is_default': {'readonly': True},
-        'account_name': {'required': True, 'min_length': 1, 'pattern': r'[a-zA-Z0-9_]'},
-        'filesystem': {'required': True, 'min_length': 1, 'pattern': r'[a-zA-Z0-9_]'},
+        "credentials": {"required": True},
+        "datastore_type": {"required": True},
+        "is_default": {"readonly": True},
+        "account_name": {"required": True, "min_length": 1, "pattern": r"[a-zA-Z0-9_]"},
+        "filesystem": {"required": True, "min_length": 1, "pattern": r"[a-zA-Z0-9_]"},
     }
 
     _attribute_map = {
-        'resource_group': {'key': 'resourceGroup', 'type': 'str'},
-        'subscription_id': {'key': 'subscriptionId', 'type': 'str'},
-        'description': {'key': 'description', 'type': 'str'},
-        'properties': {'key': 'properties', 'type': '{str}'},
-        'tags': {'key': 'tags', 'type': '{str}'},
-        'credentials': {'key': 'credentials', 'type': 'DatastoreCredentials'},
-        'datastore_type': {'key': 'datastoreType', 'type': 'str'},
-        'intellectual_property': {'key': 'intellectualProperty', 'type': 'IntellectualProperty'},
-        'is_default': {'key': 'isDefault', 'type': 'bool'},
-        'account_name': {'key': 'accountName', 'type': 'str'},
-        'endpoint': {'key': 'endpoint', 'type': 'str'},
-        'filesystem': {'key': 'filesystem', 'type': 'str'},
-        'protocol': {'key': 'protocol', 'type': 'str'},
-        'service_data_access_auth_identity': {'key': 'serviceDataAccessAuthIdentity', 'type': 'str'},
+        "resource_group": {"key": "resourceGroup", "type": "str"},
+        "subscription_id": {"key": "subscriptionId", "type": "str"},
+        "description": {"key": "description", "type": "str"},
+        "properties": {"key": "properties", "type": "{str}"},
+        "tags": {"key": "tags", "type": "{str}"},
+        "credentials": {"key": "credentials", "type": "DatastoreCredentials"},
+        "datastore_type": {"key": "datastoreType", "type": "str"},
+        "intellectual_property": {"key": "intellectualProperty", "type": "IntellectualProperty"},
+        "is_default": {"key": "isDefault", "type": "bool"},
+        "account_name": {"key": "accountName", "type": "str"},
+        "endpoint": {"key": "endpoint", "type": "str"},
+        "filesystem": {"key": "filesystem", "type": "str"},
+        "protocol": {"key": "protocol", "type": "str"},
+        "service_data_access_auth_identity": {"key": "serviceDataAccessAuthIdentity", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword resource_group: Azure Resource Group name.
         :paramtype resource_group: str
@@ -3756,19 +3560,19 @@ def __init__(
          ~azure.mgmt.machinelearningservices.models.ServiceDataAccessAuthIdentity
         """
         super(AzureDataLakeGen2Datastore, self).__init__(**kwargs)
-        self.resource_group = kwargs.get('resource_group', None)
-        self.subscription_id = kwargs.get('subscription_id', None)
-        self.datastore_type = 'AzureDataLakeGen2'  # type: str
-        self.account_name = kwargs['account_name']
-        self.endpoint = kwargs.get('endpoint', None)
-        self.filesystem = kwargs['filesystem']
-        self.protocol = kwargs.get('protocol', None)
-        self.service_data_access_auth_identity = kwargs.get('service_data_access_auth_identity', None)
-        self.description = kwargs.get('description', None)
-        self.properties = kwargs.get('properties', None)
-        self.tags = kwargs.get('tags', None)
-        self.credentials = kwargs['credentials']
-        self.intellectual_property = kwargs.get('intellectual_property', None)
+        self.resource_group = kwargs.get("resource_group", None)
+        self.subscription_id = kwargs.get("subscription_id", None)
+        self.datastore_type = "AzureDataLakeGen2"  # type: str
+        self.account_name = kwargs["account_name"]
+        self.endpoint = kwargs.get("endpoint", None)
+        self.filesystem = kwargs["filesystem"]
+        self.protocol = kwargs.get("protocol", None)
+        self.service_data_access_auth_identity = kwargs.get("service_data_access_auth_identity", None)
+        self.description = kwargs.get("description", None)
+        self.properties = kwargs.get("properties", None)
+        self.tags = kwargs.get("tags", None)
+        self.credentials = kwargs["credentials"]
+        self.intellectual_property = kwargs.get("intellectual_property", None)
         self.is_default = None
 
 
@@ -3788,28 +3592,23 @@ class Webhook(msrest.serialization.Model):
     """
 
     _validation = {
-        'webhook_type': {'required': True},
+        "webhook_type": {"required": True},
     }
 
     _attribute_map = {
-        'event_type': {'key': 'eventType', 'type': 'str'},
-        'webhook_type': {'key': 'webhookType', 'type': 'str'},
+        "event_type": {"key": "eventType", "type": "str"},
+        "webhook_type": {"key": "webhookType", "type": "str"},
     }
 
-    _subtype_map = {
-        'webhook_type': {'AzureDevOps': 'AzureDevOpsWebhook'}
-    }
+    _subtype_map = {"webhook_type": {"AzureDevOps": "AzureDevOpsWebhook"}}
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword event_type: Send callback on a specified notification event.
         :paramtype event_type: str
         """
         super(Webhook, self).__init__(**kwargs)
-        self.event_type = kwargs.get('event_type', None)
+        self.event_type = kwargs.get("event_type", None)
         self.webhook_type = None  # type: Optional[str]
 
 
@@ -3826,24 +3625,21 @@ class AzureDevOpsWebhook(Webhook):
     """
 
     _validation = {
-        'webhook_type': {'required': True},
+        "webhook_type": {"required": True},
     }
 
     _attribute_map = {
-        'event_type': {'key': 'eventType', 'type': 'str'},
-        'webhook_type': {'key': 'webhookType', 'type': 'str'},
+        "event_type": {"key": "eventType", "type": "str"},
+        "webhook_type": {"key": "webhookType", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword event_type: Send callback on a specified notification event.
         :paramtype event_type: str
         """
         super(AzureDevOpsWebhook, self).__init__(**kwargs)
-        self.webhook_type = 'AzureDevOps'  # type: str
+        self.webhook_type = "AzureDevOps"  # type: str
 
 
 class AzureFileDatastore(DatastoreProperties, AzureDatastore):
@@ -3891,34 +3687,31 @@ class AzureFileDatastore(DatastoreProperties, AzureDatastore):
     """
 
     _validation = {
-        'credentials': {'required': True},
-        'datastore_type': {'required': True},
-        'is_default': {'readonly': True},
-        'account_name': {'required': True, 'min_length': 1, 'pattern': r'[a-zA-Z0-9_]'},
-        'file_share_name': {'required': True, 'min_length': 1, 'pattern': r'[a-zA-Z0-9_]'},
+        "credentials": {"required": True},
+        "datastore_type": {"required": True},
+        "is_default": {"readonly": True},
+        "account_name": {"required": True, "min_length": 1, "pattern": r"[a-zA-Z0-9_]"},
+        "file_share_name": {"required": True, "min_length": 1, "pattern": r"[a-zA-Z0-9_]"},
     }
 
     _attribute_map = {
-        'resource_group': {'key': 'resourceGroup', 'type': 'str'},
-        'subscription_id': {'key': 'subscriptionId', 'type': 'str'},
-        'description': {'key': 'description', 'type': 'str'},
-        'properties': {'key': 'properties', 'type': '{str}'},
-        'tags': {'key': 'tags', 'type': '{str}'},
-        'credentials': {'key': 'credentials', 'type': 'DatastoreCredentials'},
-        'datastore_type': {'key': 'datastoreType', 'type': 'str'},
-        'intellectual_property': {'key': 'intellectualProperty', 'type': 'IntellectualProperty'},
-        'is_default': {'key': 'isDefault', 'type': 'bool'},
-        'account_name': {'key': 'accountName', 'type': 'str'},
-        'endpoint': {'key': 'endpoint', 'type': 'str'},
-        'file_share_name': {'key': 'fileShareName', 'type': 'str'},
-        'protocol': {'key': 'protocol', 'type': 'str'},
-        'service_data_access_auth_identity': {'key': 'serviceDataAccessAuthIdentity', 'type': 'str'},
+        "resource_group": {"key": "resourceGroup", "type": "str"},
+        "subscription_id": {"key": "subscriptionId", "type": "str"},
+        "description": {"key": "description", "type": "str"},
+        "properties": {"key": "properties", "type": "{str}"},
+        "tags": {"key": "tags", "type": "{str}"},
+        "credentials": {"key": "credentials", "type": "DatastoreCredentials"},
+        "datastore_type": {"key": "datastoreType", "type": "str"},
+        "intellectual_property": {"key": "intellectualProperty", "type": "IntellectualProperty"},
+        "is_default": {"key": "isDefault", "type": "bool"},
+        "account_name": {"key": "accountName", "type": "str"},
+        "endpoint": {"key": "endpoint", "type": "str"},
+        "file_share_name": {"key": "fileShareName", "type": "str"},
+        "protocol": {"key": "protocol", "type": "str"},
+        "service_data_access_auth_identity": {"key": "serviceDataAccessAuthIdentity", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword resource_group: Azure Resource Group name.
         :paramtype resource_group: str
@@ -3951,19 +3744,19 @@ def __init__(
          ~azure.mgmt.machinelearningservices.models.ServiceDataAccessAuthIdentity
         """
         super(AzureFileDatastore, self).__init__(**kwargs)
-        self.resource_group = kwargs.get('resource_group', None)
-        self.subscription_id = kwargs.get('subscription_id', None)
-        self.datastore_type = 'AzureFile'  # type: str
-        self.account_name = kwargs['account_name']
-        self.endpoint = kwargs.get('endpoint', None)
-        self.file_share_name = kwargs['file_share_name']
-        self.protocol = kwargs.get('protocol', None)
-        self.service_data_access_auth_identity = kwargs.get('service_data_access_auth_identity', None)
-        self.description = kwargs.get('description', None)
-        self.properties = kwargs.get('properties', None)
-        self.tags = kwargs.get('tags', None)
-        self.credentials = kwargs['credentials']
-        self.intellectual_property = kwargs.get('intellectual_property', None)
+        self.resource_group = kwargs.get("resource_group", None)
+        self.subscription_id = kwargs.get("subscription_id", None)
+        self.datastore_type = "AzureFile"  # type: str
+        self.account_name = kwargs["account_name"]
+        self.endpoint = kwargs.get("endpoint", None)
+        self.file_share_name = kwargs["file_share_name"]
+        self.protocol = kwargs.get("protocol", None)
+        self.service_data_access_auth_identity = kwargs.get("service_data_access_auth_identity", None)
+        self.description = kwargs.get("description", None)
+        self.properties = kwargs.get("properties", None)
+        self.tags = kwargs.get("tags", None)
+        self.credentials = kwargs["credentials"]
+        self.intellectual_property = kwargs.get("intellectual_property", None)
         self.is_default = None
 
 
@@ -3981,25 +3774,24 @@ class InferencingServer(msrest.serialization.Model):
     """
 
     _validation = {
-        'server_type': {'required': True},
+        "server_type": {"required": True},
     }
 
     _attribute_map = {
-        'server_type': {'key': 'serverType', 'type': 'str'},
+        "server_type": {"key": "serverType", "type": "str"},
     }
 
     _subtype_map = {
-        'server_type': {'AzureMLBatch': 'AzureMLBatchInferencingServer',
-                        'AzureMLOnline': 'AzureMLOnlineInferencingServer', 'Custom': 'CustomInferencingServer',
-                        'Triton': 'TritonInferencingServer'}
+        "server_type": {
+            "AzureMLBatch": "AzureMLBatchInferencingServer",
+            "AzureMLOnline": "AzureMLOnlineInferencingServer",
+            "Custom": "CustomInferencingServer",
+            "Triton": "TritonInferencingServer",
+        }
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
-        """
-        """
+    def __init__(self, **kwargs):
+        """ """
         super(InferencingServer, self).__init__(**kwargs)
         self.server_type = None  # type: Optional[str]
 
@@ -4017,25 +3809,22 @@ class AzureMLBatchInferencingServer(InferencingServer):
     """
 
     _validation = {
-        'server_type': {'required': True},
+        "server_type": {"required": True},
     }
 
     _attribute_map = {
-        'server_type': {'key': 'serverType', 'type': 'str'},
-        'code_configuration': {'key': 'codeConfiguration', 'type': 'CodeConfiguration'},
+        "server_type": {"key": "serverType", "type": "str"},
+        "code_configuration": {"key": "codeConfiguration", "type": "CodeConfiguration"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword code_configuration: Code configuration for AML batch inferencing server.
         :paramtype code_configuration: ~azure.mgmt.machinelearningservices.models.CodeConfiguration
         """
         super(AzureMLBatchInferencingServer, self).__init__(**kwargs)
-        self.server_type = 'AzureMLBatch'  # type: str
-        self.code_configuration = kwargs.get('code_configuration', None)
+        self.server_type = "AzureMLBatch"  # type: str
+        self.code_configuration = kwargs.get("code_configuration", None)
 
 
 class AzureMLOnlineInferencingServer(InferencingServer):
@@ -4051,25 +3840,22 @@ class AzureMLOnlineInferencingServer(InferencingServer):
     """
 
     _validation = {
-        'server_type': {'required': True},
+        "server_type": {"required": True},
     }
 
     _attribute_map = {
-        'server_type': {'key': 'serverType', 'type': 'str'},
-        'code_configuration': {'key': 'codeConfiguration', 'type': 'CodeConfiguration'},
+        "server_type": {"key": "serverType", "type": "str"},
+        "code_configuration": {"key": "codeConfiguration", "type": "CodeConfiguration"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword code_configuration: Code configuration for AML inferencing server.
         :paramtype code_configuration: ~azure.mgmt.machinelearningservices.models.CodeConfiguration
         """
         super(AzureMLOnlineInferencingServer, self).__init__(**kwargs)
-        self.server_type = 'AzureMLOnline'  # type: str
-        self.code_configuration = kwargs.get('code_configuration', None)
+        self.server_type = "AzureMLOnline"  # type: str
+        self.code_configuration = kwargs.get("code_configuration", None)
 
 
 class FineTuningVertical(msrest.serialization.Model):
@@ -4097,28 +3883,23 @@ class FineTuningVertical(msrest.serialization.Model):
     """
 
     _validation = {
-        'model': {'required': True},
-        'model_provider': {'required': True},
-        'task_type': {'required': True},
-        'training_data': {'required': True},
+        "model": {"required": True},
+        "model_provider": {"required": True},
+        "task_type": {"required": True},
+        "training_data": {"required": True},
     }
 
     _attribute_map = {
-        'model': {'key': 'model', 'type': 'MLFlowModelJobInput'},
-        'model_provider': {'key': 'modelProvider', 'type': 'str'},
-        'task_type': {'key': 'taskType', 'type': 'str'},
-        'training_data': {'key': 'trainingData', 'type': 'JobInput'},
-        'validation_data': {'key': 'validationData', 'type': 'JobInput'},
+        "model": {"key": "model", "type": "MLFlowModelJobInput"},
+        "model_provider": {"key": "modelProvider", "type": "str"},
+        "task_type": {"key": "taskType", "type": "str"},
+        "training_data": {"key": "trainingData", "type": "JobInput"},
+        "validation_data": {"key": "validationData", "type": "JobInput"},
     }
 
-    _subtype_map = {
-        'model_provider': {'AzureOpenAI': 'AzureOpenAiFineTuning', 'Custom': 'CustomModelFineTuning'}
-    }
+    _subtype_map = {"model_provider": {"AzureOpenAI": "AzureOpenAiFineTuning", "Custom": "CustomModelFineTuning"}}
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword model: Required. [Required] Input model for fine tuning.
         :paramtype model: ~azure.mgmt.machinelearningservices.models.MLFlowModelJobInput
@@ -4133,11 +3914,11 @@ def __init__(
         :paramtype validation_data: ~azure.mgmt.machinelearningservices.models.JobInput
         """
         super(FineTuningVertical, self).__init__(**kwargs)
-        self.model = kwargs['model']
+        self.model = kwargs["model"]
         self.model_provider = None  # type: Optional[str]
-        self.task_type = kwargs['task_type']
-        self.training_data = kwargs['training_data']
-        self.validation_data = kwargs.get('validation_data', None)
+        self.task_type = kwargs["task_type"]
+        self.training_data = kwargs["training_data"]
+        self.validation_data = kwargs.get("validation_data", None)
 
 
 class AzureOpenAiFineTuning(FineTuningVertical):
@@ -4165,25 +3946,22 @@ class AzureOpenAiFineTuning(FineTuningVertical):
     """
 
     _validation = {
-        'model': {'required': True},
-        'model_provider': {'required': True},
-        'task_type': {'required': True},
-        'training_data': {'required': True},
+        "model": {"required": True},
+        "model_provider": {"required": True},
+        "task_type": {"required": True},
+        "training_data": {"required": True},
     }
 
     _attribute_map = {
-        'model': {'key': 'model', 'type': 'MLFlowModelJobInput'},
-        'model_provider': {'key': 'modelProvider', 'type': 'str'},
-        'task_type': {'key': 'taskType', 'type': 'str'},
-        'training_data': {'key': 'trainingData', 'type': 'JobInput'},
-        'validation_data': {'key': 'validationData', 'type': 'JobInput'},
-        'hyper_parameters': {'key': 'hyperParameters', 'type': 'AzureOpenAiHyperParameters'},
+        "model": {"key": "model", "type": "MLFlowModelJobInput"},
+        "model_provider": {"key": "modelProvider", "type": "str"},
+        "task_type": {"key": "taskType", "type": "str"},
+        "training_data": {"key": "trainingData", "type": "JobInput"},
+        "validation_data": {"key": "validationData", "type": "JobInput"},
+        "hyper_parameters": {"key": "hyperParameters", "type": "AzureOpenAiHyperParameters"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword model: Required. [Required] Input model for fine tuning.
         :paramtype model: ~azure.mgmt.machinelearningservices.models.MLFlowModelJobInput
@@ -4201,8 +3979,8 @@ def __init__(
          ~azure.mgmt.machinelearningservices.models.AzureOpenAiHyperParameters
         """
         super(AzureOpenAiFineTuning, self).__init__(**kwargs)
-        self.model_provider = 'AzureOpenAI'  # type: str
-        self.hyper_parameters = kwargs.get('hyper_parameters', None)
+        self.model_provider = "AzureOpenAI"  # type: str
+        self.hyper_parameters = kwargs.get("hyper_parameters", None)
 
 
 class AzureOpenAiHyperParameters(msrest.serialization.Model):
@@ -4220,15 +3998,12 @@ class AzureOpenAiHyperParameters(msrest.serialization.Model):
     """
 
     _attribute_map = {
-        'batch_size': {'key': 'batchSize', 'type': 'int'},
-        'learning_rate_multiplier': {'key': 'learningRateMultiplier', 'type': 'float'},
-        'n_epochs': {'key': 'nEpochs', 'type': 'int'},
+        "batch_size": {"key": "batchSize", "type": "int"},
+        "learning_rate_multiplier": {"key": "learningRateMultiplier", "type": "float"},
+        "n_epochs": {"key": "nEpochs", "type": "int"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword batch_size: Number of examples in each batch. A larger batch size means that model
          parameters are updated less frequently, but with lower variance.
@@ -4241,9 +4016,9 @@ def __init__(
         :paramtype n_epochs: int
         """
         super(AzureOpenAiHyperParameters, self).__init__(**kwargs)
-        self.batch_size = kwargs.get('batch_size', None)
-        self.learning_rate_multiplier = kwargs.get('learning_rate_multiplier', None)
-        self.n_epochs = kwargs.get('n_epochs', None)
+        self.batch_size = kwargs.get("batch_size", None)
+        self.learning_rate_multiplier = kwargs.get("learning_rate_multiplier", None)
+        self.n_epochs = kwargs.get("n_epochs", None)
 
 
 class EarlyTerminationPolicy(msrest.serialization.Model):
@@ -4265,24 +4040,24 @@ class EarlyTerminationPolicy(msrest.serialization.Model):
     """
 
     _validation = {
-        'policy_type': {'required': True},
+        "policy_type": {"required": True},
     }
 
     _attribute_map = {
-        'delay_evaluation': {'key': 'delayEvaluation', 'type': 'int'},
-        'evaluation_interval': {'key': 'evaluationInterval', 'type': 'int'},
-        'policy_type': {'key': 'policyType', 'type': 'str'},
+        "delay_evaluation": {"key": "delayEvaluation", "type": "int"},
+        "evaluation_interval": {"key": "evaluationInterval", "type": "int"},
+        "policy_type": {"key": "policyType", "type": "str"},
     }
 
     _subtype_map = {
-        'policy_type': {'Bandit': 'BanditPolicy', 'MedianStopping': 'MedianStoppingPolicy',
-                        'TruncationSelection': 'TruncationSelectionPolicy'}
+        "policy_type": {
+            "Bandit": "BanditPolicy",
+            "MedianStopping": "MedianStoppingPolicy",
+            "TruncationSelection": "TruncationSelectionPolicy",
+        }
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword delay_evaluation: Number of intervals by which to delay the first evaluation.
         :paramtype delay_evaluation: int
@@ -4290,8 +4065,8 @@ def __init__(
         :paramtype evaluation_interval: int
         """
         super(EarlyTerminationPolicy, self).__init__(**kwargs)
-        self.delay_evaluation = kwargs.get('delay_evaluation', 0)
-        self.evaluation_interval = kwargs.get('evaluation_interval', 0)
+        self.delay_evaluation = kwargs.get("delay_evaluation", 0)
+        self.evaluation_interval = kwargs.get("evaluation_interval", 0)
         self.policy_type = None  # type: Optional[str]
 
 
@@ -4315,21 +4090,18 @@ class BanditPolicy(EarlyTerminationPolicy):
     """
 
     _validation = {
-        'policy_type': {'required': True},
+        "policy_type": {"required": True},
     }
 
     _attribute_map = {
-        'delay_evaluation': {'key': 'delayEvaluation', 'type': 'int'},
-        'evaluation_interval': {'key': 'evaluationInterval', 'type': 'int'},
-        'policy_type': {'key': 'policyType', 'type': 'str'},
-        'slack_amount': {'key': 'slackAmount', 'type': 'float'},
-        'slack_factor': {'key': 'slackFactor', 'type': 'float'},
+        "delay_evaluation": {"key": "delayEvaluation", "type": "int"},
+        "evaluation_interval": {"key": "evaluationInterval", "type": "int"},
+        "policy_type": {"key": "policyType", "type": "str"},
+        "slack_amount": {"key": "slackAmount", "type": "float"},
+        "slack_factor": {"key": "slackFactor", "type": "float"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword delay_evaluation: Number of intervals by which to delay the first evaluation.
         :paramtype delay_evaluation: int
@@ -4341,9 +4113,9 @@ def __init__(
         :paramtype slack_factor: float
         """
         super(BanditPolicy, self).__init__(**kwargs)
-        self.policy_type = 'Bandit'  # type: str
-        self.slack_amount = kwargs.get('slack_amount', 0)
-        self.slack_factor = kwargs.get('slack_factor', 0)
+        self.policy_type = "Bandit"  # type: str
+        self.slack_amount = kwargs.get("slack_amount", 0)
+        self.slack_factor = kwargs.get("slack_factor", 0)
 
 
 class BaseEnvironmentSource(msrest.serialization.Model):
@@ -4361,23 +4133,17 @@ class BaseEnvironmentSource(msrest.serialization.Model):
     """
 
     _validation = {
-        'base_environment_source_type': {'required': True},
+        "base_environment_source_type": {"required": True},
     }
 
     _attribute_map = {
-        'base_environment_source_type': {'key': 'baseEnvironmentSourceType', 'type': 'str'},
+        "base_environment_source_type": {"key": "baseEnvironmentSourceType", "type": "str"},
     }
 
-    _subtype_map = {
-        'base_environment_source_type': {'EnvironmentAsset': 'BaseEnvironmentId'}
-    }
+    _subtype_map = {"base_environment_source_type": {"EnvironmentAsset": "BaseEnvironmentId"}}
 
-    def __init__(
-            self,
-            **kwargs
-    ):
-        """
-        """
+    def __init__(self, **kwargs):
+        """ """
         super(BaseEnvironmentSource, self).__init__(**kwargs)
         self.base_environment_source_type = None  # type: Optional[str]
 
@@ -4396,26 +4162,23 @@ class BaseEnvironmentId(BaseEnvironmentSource):
     """
 
     _validation = {
-        'base_environment_source_type': {'required': True},
-        'resource_id': {'required': True, 'min_length': 1, 'pattern': r'[a-zA-Z0-9_]'},
+        "base_environment_source_type": {"required": True},
+        "resource_id": {"required": True, "min_length": 1, "pattern": r"[a-zA-Z0-9_]"},
     }
 
     _attribute_map = {
-        'base_environment_source_type': {'key': 'baseEnvironmentSourceType', 'type': 'str'},
-        'resource_id': {'key': 'resourceId', 'type': 'str'},
+        "base_environment_source_type": {"key": "baseEnvironmentSourceType", "type": "str"},
+        "resource_id": {"key": "resourceId", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword resource_id: Required. [Required] Resource id accepting ArmId or AzureMlId.
         :paramtype resource_id: str
         """
         super(BaseEnvironmentId, self).__init__(**kwargs)
-        self.base_environment_source_type = 'EnvironmentAsset'  # type: str
-        self.resource_id = kwargs['resource_id']
+        self.base_environment_source_type = "EnvironmentAsset"  # type: str
+        self.resource_id = kwargs["resource_id"]
 
 
 class Resource(msrest.serialization.Model):
@@ -4437,25 +4200,21 @@ class Resource(msrest.serialization.Model):
     """
 
     _validation = {
-        'id': {'readonly': True},
-        'name': {'readonly': True},
-        'type': {'readonly': True},
-        'system_data': {'readonly': True},
+        "id": {"readonly": True},
+        "name": {"readonly": True},
+        "type": {"readonly": True},
+        "system_data": {"readonly": True},
     }
 
     _attribute_map = {
-        'id': {'key': 'id', 'type': 'str'},
-        'name': {'key': 'name', 'type': 'str'},
-        'type': {'key': 'type', 'type': 'str'},
-        'system_data': {'key': 'systemData', 'type': 'SystemData'},
+        "id": {"key": "id", "type": "str"},
+        "name": {"key": "name", "type": "str"},
+        "type": {"key": "type", "type": "str"},
+        "system_data": {"key": "systemData", "type": "SystemData"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
-        """
-        """
+    def __init__(self, **kwargs):
+        """ """
         super(Resource, self).__init__(**kwargs)
         self.id = None
         self.name = None
@@ -4488,26 +4247,23 @@ class TrackedResource(Resource):
     """
 
     _validation = {
-        'id': {'readonly': True},
-        'name': {'readonly': True},
-        'type': {'readonly': True},
-        'system_data': {'readonly': True},
-        'location': {'required': True},
+        "id": {"readonly": True},
+        "name": {"readonly": True},
+        "type": {"readonly": True},
+        "system_data": {"readonly": True},
+        "location": {"required": True},
     }
 
     _attribute_map = {
-        'id': {'key': 'id', 'type': 'str'},
-        'name': {'key': 'name', 'type': 'str'},
-        'type': {'key': 'type', 'type': 'str'},
-        'system_data': {'key': 'systemData', 'type': 'SystemData'},
-        'tags': {'key': 'tags', 'type': '{str}'},
-        'location': {'key': 'location', 'type': 'str'},
+        "id": {"key": "id", "type": "str"},
+        "name": {"key": "name", "type": "str"},
+        "type": {"key": "type", "type": "str"},
+        "system_data": {"key": "systemData", "type": "SystemData"},
+        "tags": {"key": "tags", "type": "{str}"},
+        "location": {"key": "location", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword tags: A set of tags. Resource tags.
         :paramtype tags: dict[str, str]
@@ -4515,8 +4271,8 @@ def __init__(
         :paramtype location: str
         """
         super(TrackedResource, self).__init__(**kwargs)
-        self.tags = kwargs.get('tags', None)
-        self.location = kwargs['location']
+        self.tags = kwargs.get("tags", None)
+        self.location = kwargs["location"]
 
 
 class BatchDeployment(TrackedResource):
@@ -4553,31 +4309,28 @@ class BatchDeployment(TrackedResource):
     """
 
     _validation = {
-        'id': {'readonly': True},
-        'name': {'readonly': True},
-        'type': {'readonly': True},
-        'system_data': {'readonly': True},
-        'location': {'required': True},
-        'properties': {'required': True},
+        "id": {"readonly": True},
+        "name": {"readonly": True},
+        "type": {"readonly": True},
+        "system_data": {"readonly": True},
+        "location": {"required": True},
+        "properties": {"required": True},
     }
 
     _attribute_map = {
-        'id': {'key': 'id', 'type': 'str'},
-        'name': {'key': 'name', 'type': 'str'},
-        'type': {'key': 'type', 'type': 'str'},
-        'system_data': {'key': 'systemData', 'type': 'SystemData'},
-        'tags': {'key': 'tags', 'type': '{str}'},
-        'location': {'key': 'location', 'type': 'str'},
-        'identity': {'key': 'identity', 'type': 'ManagedServiceIdentity'},
-        'kind': {'key': 'kind', 'type': 'str'},
-        'properties': {'key': 'properties', 'type': 'BatchDeploymentProperties'},
-        'sku': {'key': 'sku', 'type': 'Sku'},
+        "id": {"key": "id", "type": "str"},
+        "name": {"key": "name", "type": "str"},
+        "type": {"key": "type", "type": "str"},
+        "system_data": {"key": "systemData", "type": "SystemData"},
+        "tags": {"key": "tags", "type": "{str}"},
+        "location": {"key": "location", "type": "str"},
+        "identity": {"key": "identity", "type": "ManagedServiceIdentity"},
+        "kind": {"key": "kind", "type": "str"},
+        "properties": {"key": "properties", "type": "BatchDeploymentProperties"},
+        "sku": {"key": "sku", "type": "Sku"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword tags: A set of tags. Resource tags.
         :paramtype tags: dict[str, str]
@@ -4594,10 +4347,10 @@ def __init__(
         :paramtype sku: ~azure.mgmt.machinelearningservices.models.Sku
         """
         super(BatchDeployment, self).__init__(**kwargs)
-        self.identity = kwargs.get('identity', None)
-        self.kind = kwargs.get('kind', None)
-        self.properties = kwargs['properties']
-        self.sku = kwargs.get('sku', None)
+        self.identity = kwargs.get("identity", None)
+        self.kind = kwargs.get("kind", None)
+        self.properties = kwargs["properties"]
+        self.sku = kwargs.get("sku", None)
 
 
 class BatchDeploymentConfiguration(msrest.serialization.Model):
@@ -4615,23 +4368,19 @@ class BatchDeploymentConfiguration(msrest.serialization.Model):
     """
 
     _validation = {
-        'deployment_configuration_type': {'required': True},
+        "deployment_configuration_type": {"required": True},
     }
 
     _attribute_map = {
-        'deployment_configuration_type': {'key': 'deploymentConfigurationType', 'type': 'str'},
+        "deployment_configuration_type": {"key": "deploymentConfigurationType", "type": "str"},
     }
 
     _subtype_map = {
-        'deployment_configuration_type': {'PipelineComponent': 'BatchPipelineComponentDeploymentConfiguration'}
+        "deployment_configuration_type": {"PipelineComponent": "BatchPipelineComponentDeploymentConfiguration"}
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
-        """
-        """
+    def __init__(self, **kwargs):
+        """ """
         super(BatchDeploymentConfiguration, self).__init__(**kwargs)
         self.deployment_configuration_type = None  # type: Optional[str]
 
@@ -4653,17 +4402,14 @@ class EndpointDeploymentPropertiesBase(msrest.serialization.Model):
     """
 
     _attribute_map = {
-        'code_configuration': {'key': 'codeConfiguration', 'type': 'CodeConfiguration'},
-        'description': {'key': 'description', 'type': 'str'},
-        'environment_id': {'key': 'environmentId', 'type': 'str'},
-        'environment_variables': {'key': 'environmentVariables', 'type': '{str}'},
-        'properties': {'key': 'properties', 'type': '{str}'},
+        "code_configuration": {"key": "codeConfiguration", "type": "CodeConfiguration"},
+        "description": {"key": "description", "type": "str"},
+        "environment_id": {"key": "environmentId", "type": "str"},
+        "environment_variables": {"key": "environmentVariables", "type": "{str}"},
+        "properties": {"key": "properties", "type": "{str}"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword code_configuration: Code configuration for the endpoint deployment.
         :paramtype code_configuration: ~azure.mgmt.machinelearningservices.models.CodeConfiguration
@@ -4678,11 +4424,11 @@ def __init__(
         :paramtype properties: dict[str, str]
         """
         super(EndpointDeploymentPropertiesBase, self).__init__(**kwargs)
-        self.code_configuration = kwargs.get('code_configuration', None)
-        self.description = kwargs.get('description', None)
-        self.environment_id = kwargs.get('environment_id', None)
-        self.environment_variables = kwargs.get('environment_variables', None)
-        self.properties = kwargs.get('properties', None)
+        self.code_configuration = kwargs.get("code_configuration", None)
+        self.description = kwargs.get("description", None)
+        self.environment_id = kwargs.get("environment_id", None)
+        self.environment_variables = kwargs.get("environment_variables", None)
+        self.properties = kwargs.get("properties", None)
 
 
 class BatchDeploymentProperties(EndpointDeploymentPropertiesBase):
@@ -4742,33 +4488,30 @@ class BatchDeploymentProperties(EndpointDeploymentPropertiesBase):
     """
 
     _validation = {
-        'provisioning_state': {'readonly': True},
+        "provisioning_state": {"readonly": True},
     }
 
     _attribute_map = {
-        'code_configuration': {'key': 'codeConfiguration', 'type': 'CodeConfiguration'},
-        'description': {'key': 'description', 'type': 'str'},
-        'environment_id': {'key': 'environmentId', 'type': 'str'},
-        'environment_variables': {'key': 'environmentVariables', 'type': '{str}'},
-        'properties': {'key': 'properties', 'type': '{str}'},
-        'compute': {'key': 'compute', 'type': 'str'},
-        'deployment_configuration': {'key': 'deploymentConfiguration', 'type': 'BatchDeploymentConfiguration'},
-        'error_threshold': {'key': 'errorThreshold', 'type': 'int'},
-        'logging_level': {'key': 'loggingLevel', 'type': 'str'},
-        'max_concurrency_per_instance': {'key': 'maxConcurrencyPerInstance', 'type': 'int'},
-        'mini_batch_size': {'key': 'miniBatchSize', 'type': 'long'},
-        'model': {'key': 'model', 'type': 'AssetReferenceBase'},
-        'output_action': {'key': 'outputAction', 'type': 'str'},
-        'output_file_name': {'key': 'outputFileName', 'type': 'str'},
-        'provisioning_state': {'key': 'provisioningState', 'type': 'str'},
-        'resources': {'key': 'resources', 'type': 'DeploymentResourceConfiguration'},
-        'retry_settings': {'key': 'retrySettings', 'type': 'BatchRetrySettings'},
+        "code_configuration": {"key": "codeConfiguration", "type": "CodeConfiguration"},
+        "description": {"key": "description", "type": "str"},
+        "environment_id": {"key": "environmentId", "type": "str"},
+        "environment_variables": {"key": "environmentVariables", "type": "{str}"},
+        "properties": {"key": "properties", "type": "{str}"},
+        "compute": {"key": "compute", "type": "str"},
+        "deployment_configuration": {"key": "deploymentConfiguration", "type": "BatchDeploymentConfiguration"},
+        "error_threshold": {"key": "errorThreshold", "type": "int"},
+        "logging_level": {"key": "loggingLevel", "type": "str"},
+        "max_concurrency_per_instance": {"key": "maxConcurrencyPerInstance", "type": "int"},
+        "mini_batch_size": {"key": "miniBatchSize", "type": "long"},
+        "model": {"key": "model", "type": "AssetReferenceBase"},
+        "output_action": {"key": "outputAction", "type": "str"},
+        "output_file_name": {"key": "outputFileName", "type": "str"},
+        "provisioning_state": {"key": "provisioningState", "type": "str"},
+        "resources": {"key": "resources", "type": "DeploymentResourceConfiguration"},
+        "retry_settings": {"key": "retrySettings", "type": "BatchRetrySettings"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword code_configuration: Code configuration for the endpoint deployment.
         :paramtype code_configuration: ~azure.mgmt.machinelearningservices.models.CodeConfiguration
@@ -4818,18 +4561,18 @@ def __init__(
         :paramtype retry_settings: ~azure.mgmt.machinelearningservices.models.BatchRetrySettings
         """
         super(BatchDeploymentProperties, self).__init__(**kwargs)
-        self.compute = kwargs.get('compute', None)
-        self.deployment_configuration = kwargs.get('deployment_configuration', None)
-        self.error_threshold = kwargs.get('error_threshold', -1)
-        self.logging_level = kwargs.get('logging_level', None)
-        self.max_concurrency_per_instance = kwargs.get('max_concurrency_per_instance', 1)
-        self.mini_batch_size = kwargs.get('mini_batch_size', 10)
-        self.model = kwargs.get('model', None)
-        self.output_action = kwargs.get('output_action', None)
-        self.output_file_name = kwargs.get('output_file_name', "predictions.csv")
+        self.compute = kwargs.get("compute", None)
+        self.deployment_configuration = kwargs.get("deployment_configuration", None)
+        self.error_threshold = kwargs.get("error_threshold", -1)
+        self.logging_level = kwargs.get("logging_level", None)
+        self.max_concurrency_per_instance = kwargs.get("max_concurrency_per_instance", 1)
+        self.mini_batch_size = kwargs.get("mini_batch_size", 10)
+        self.model = kwargs.get("model", None)
+        self.output_action = kwargs.get("output_action", None)
+        self.output_file_name = kwargs.get("output_file_name", "predictions.csv")
         self.provisioning_state = None
-        self.resources = kwargs.get('resources', None)
-        self.retry_settings = kwargs.get('retry_settings', None)
+        self.resources = kwargs.get("resources", None)
+        self.retry_settings = kwargs.get("retry_settings", None)
 
 
 class BatchDeploymentTrackedResourceArmPaginatedResult(msrest.serialization.Model):
@@ -4843,14 +4586,11 @@ class BatchDeploymentTrackedResourceArmPaginatedResult(msrest.serialization.Mode
     """
 
     _attribute_map = {
-        'next_link': {'key': 'nextLink', 'type': 'str'},
-        'value': {'key': 'value', 'type': '[BatchDeployment]'},
+        "next_link": {"key": "nextLink", "type": "str"},
+        "value": {"key": "value", "type": "[BatchDeployment]"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword next_link: The link to the next page of BatchDeployment objects. If null, there are no
          additional pages.
@@ -4859,8 +4599,8 @@ def __init__(
         :paramtype value: list[~azure.mgmt.machinelearningservices.models.BatchDeployment]
         """
         super(BatchDeploymentTrackedResourceArmPaginatedResult, self).__init__(**kwargs)
-        self.next_link = kwargs.get('next_link', None)
-        self.value = kwargs.get('value', None)
+        self.next_link = kwargs.get("next_link", None)
+        self.value = kwargs.get("value", None)
 
 
 class BatchEndpoint(TrackedResource):
@@ -4897,31 +4637,28 @@ class BatchEndpoint(TrackedResource):
     """
 
     _validation = {
-        'id': {'readonly': True},
-        'name': {'readonly': True},
-        'type': {'readonly': True},
-        'system_data': {'readonly': True},
-        'location': {'required': True},
-        'properties': {'required': True},
+        "id": {"readonly": True},
+        "name": {"readonly": True},
+        "type": {"readonly": True},
+        "system_data": {"readonly": True},
+        "location": {"required": True},
+        "properties": {"required": True},
     }
 
     _attribute_map = {
-        'id': {'key': 'id', 'type': 'str'},
-        'name': {'key': 'name', 'type': 'str'},
-        'type': {'key': 'type', 'type': 'str'},
-        'system_data': {'key': 'systemData', 'type': 'SystemData'},
-        'tags': {'key': 'tags', 'type': '{str}'},
-        'location': {'key': 'location', 'type': 'str'},
-        'identity': {'key': 'identity', 'type': 'ManagedServiceIdentity'},
-        'kind': {'key': 'kind', 'type': 'str'},
-        'properties': {'key': 'properties', 'type': 'BatchEndpointProperties'},
-        'sku': {'key': 'sku', 'type': 'Sku'},
+        "id": {"key": "id", "type": "str"},
+        "name": {"key": "name", "type": "str"},
+        "type": {"key": "type", "type": "str"},
+        "system_data": {"key": "systemData", "type": "SystemData"},
+        "tags": {"key": "tags", "type": "{str}"},
+        "location": {"key": "location", "type": "str"},
+        "identity": {"key": "identity", "type": "ManagedServiceIdentity"},
+        "kind": {"key": "kind", "type": "str"},
+        "properties": {"key": "properties", "type": "BatchEndpointProperties"},
+        "sku": {"key": "sku", "type": "Sku"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword tags: A set of tags. Resource tags.
         :paramtype tags: dict[str, str]
@@ -4938,10 +4675,10 @@ def __init__(
         :paramtype sku: ~azure.mgmt.machinelearningservices.models.Sku
         """
         super(BatchEndpoint, self).__init__(**kwargs)
-        self.identity = kwargs.get('identity', None)
-        self.kind = kwargs.get('kind', None)
-        self.properties = kwargs['properties']
-        self.sku = kwargs.get('sku', None)
+        self.identity = kwargs.get("identity", None)
+        self.kind = kwargs.get("kind", None)
+        self.properties = kwargs["properties"]
+        self.sku = kwargs.get("sku", None)
 
 
 class BatchEndpointDefaults(msrest.serialization.Model):
@@ -4953,20 +4690,17 @@ class BatchEndpointDefaults(msrest.serialization.Model):
     """
 
     _attribute_map = {
-        'deployment_name': {'key': 'deploymentName', 'type': 'str'},
+        "deployment_name": {"key": "deploymentName", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword deployment_name: Name of the deployment that will be default for the endpoint.
          This deployment will end up getting 100% traffic when the endpoint scoring URL is invoked.
         :paramtype deployment_name: str
         """
         super(BatchEndpointDefaults, self).__init__(**kwargs)
-        self.deployment_name = kwargs.get('deployment_name', None)
+        self.deployment_name = kwargs.get("deployment_name", None)
 
 
 class EndpointPropertiesBase(msrest.serialization.Model):
@@ -4995,24 +4729,21 @@ class EndpointPropertiesBase(msrest.serialization.Model):
     """
 
     _validation = {
-        'auth_mode': {'required': True},
-        'scoring_uri': {'readonly': True},
-        'swagger_uri': {'readonly': True},
+        "auth_mode": {"required": True},
+        "scoring_uri": {"readonly": True},
+        "swagger_uri": {"readonly": True},
     }
 
     _attribute_map = {
-        'auth_mode': {'key': 'authMode', 'type': 'str'},
-        'description': {'key': 'description', 'type': 'str'},
-        'keys': {'key': 'keys', 'type': 'EndpointAuthKeys'},
-        'properties': {'key': 'properties', 'type': '{str}'},
-        'scoring_uri': {'key': 'scoringUri', 'type': 'str'},
-        'swagger_uri': {'key': 'swaggerUri', 'type': 'str'},
+        "auth_mode": {"key": "authMode", "type": "str"},
+        "description": {"key": "description", "type": "str"},
+        "keys": {"key": "keys", "type": "EndpointAuthKeys"},
+        "properties": {"key": "properties", "type": "{str}"},
+        "scoring_uri": {"key": "scoringUri", "type": "str"},
+        "swagger_uri": {"key": "swaggerUri", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword auth_mode: Required. [Required] Use 'Key' for key based authentication and 'AMLToken'
          for Azure Machine Learning token-based authentication. 'Key' doesn't expire but 'AMLToken'
@@ -5028,10 +4759,10 @@ def __init__(
         :paramtype properties: dict[str, str]
         """
         super(EndpointPropertiesBase, self).__init__(**kwargs)
-        self.auth_mode = kwargs['auth_mode']
-        self.description = kwargs.get('description', None)
-        self.keys = kwargs.get('keys', None)
-        self.properties = kwargs.get('properties', None)
+        self.auth_mode = kwargs["auth_mode"]
+        self.description = kwargs.get("description", None)
+        self.keys = kwargs.get("keys", None)
+        self.properties = kwargs.get("properties", None)
         self.scoring_uri = None
         self.swagger_uri = None
 
@@ -5068,27 +4799,24 @@ class BatchEndpointProperties(EndpointPropertiesBase):
     """
 
     _validation = {
-        'auth_mode': {'required': True},
-        'scoring_uri': {'readonly': True},
-        'swagger_uri': {'readonly': True},
-        'provisioning_state': {'readonly': True},
+        "auth_mode": {"required": True},
+        "scoring_uri": {"readonly": True},
+        "swagger_uri": {"readonly": True},
+        "provisioning_state": {"readonly": True},
     }
 
     _attribute_map = {
-        'auth_mode': {'key': 'authMode', 'type': 'str'},
-        'description': {'key': 'description', 'type': 'str'},
-        'keys': {'key': 'keys', 'type': 'EndpointAuthKeys'},
-        'properties': {'key': 'properties', 'type': '{str}'},
-        'scoring_uri': {'key': 'scoringUri', 'type': 'str'},
-        'swagger_uri': {'key': 'swaggerUri', 'type': 'str'},
-        'defaults': {'key': 'defaults', 'type': 'BatchEndpointDefaults'},
-        'provisioning_state': {'key': 'provisioningState', 'type': 'str'},
+        "auth_mode": {"key": "authMode", "type": "str"},
+        "description": {"key": "description", "type": "str"},
+        "keys": {"key": "keys", "type": "EndpointAuthKeys"},
+        "properties": {"key": "properties", "type": "{str}"},
+        "scoring_uri": {"key": "scoringUri", "type": "str"},
+        "swagger_uri": {"key": "swaggerUri", "type": "str"},
+        "defaults": {"key": "defaults", "type": "BatchEndpointDefaults"},
+        "provisioning_state": {"key": "provisioningState", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword auth_mode: Required. [Required] Use 'Key' for key based authentication and 'AMLToken'
          for Azure Machine Learning token-based authentication. 'Key' doesn't expire but 'AMLToken'
@@ -5106,7 +4834,7 @@ def __init__(
         :paramtype defaults: ~azure.mgmt.machinelearningservices.models.BatchEndpointDefaults
         """
         super(BatchEndpointProperties, self).__init__(**kwargs)
-        self.defaults = kwargs.get('defaults', None)
+        self.defaults = kwargs.get("defaults", None)
         self.provisioning_state = None
 
 
@@ -5121,14 +4849,11 @@ class BatchEndpointTrackedResourceArmPaginatedResult(msrest.serialization.Model)
     """
 
     _attribute_map = {
-        'next_link': {'key': 'nextLink', 'type': 'str'},
-        'value': {'key': 'value', 'type': '[BatchEndpoint]'},
+        "next_link": {"key": "nextLink", "type": "str"},
+        "value": {"key": "value", "type": "[BatchEndpoint]"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword next_link: The link to the next page of BatchEndpoint objects. If null, there are no
          additional pages.
@@ -5137,8 +4862,8 @@ def __init__(
         :paramtype value: list[~azure.mgmt.machinelearningservices.models.BatchEndpoint]
         """
         super(BatchEndpointTrackedResourceArmPaginatedResult, self).__init__(**kwargs)
-        self.next_link = kwargs.get('next_link', None)
-        self.value = kwargs.get('value', None)
+        self.next_link = kwargs.get("next_link", None)
+        self.value = kwargs.get("value", None)
 
 
 class BatchPipelineComponentDeploymentConfiguration(BatchDeploymentConfiguration):
@@ -5161,21 +4886,18 @@ class BatchPipelineComponentDeploymentConfiguration(BatchDeploymentConfiguration
     """
 
     _validation = {
-        'deployment_configuration_type': {'required': True},
+        "deployment_configuration_type": {"required": True},
     }
 
     _attribute_map = {
-        'deployment_configuration_type': {'key': 'deploymentConfigurationType', 'type': 'str'},
-        'component_id': {'key': 'componentId', 'type': 'IdAssetReference'},
-        'description': {'key': 'description', 'type': 'str'},
-        'settings': {'key': 'settings', 'type': '{str}'},
-        'tags': {'key': 'tags', 'type': '{str}'},
+        "deployment_configuration_type": {"key": "deploymentConfigurationType", "type": "str"},
+        "component_id": {"key": "componentId", "type": "IdAssetReference"},
+        "description": {"key": "description", "type": "str"},
+        "settings": {"key": "settings", "type": "{str}"},
+        "tags": {"key": "tags", "type": "{str}"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword component_id: The ARM id of the component to be run.
         :paramtype component_id: ~azure.mgmt.machinelearningservices.models.IdAssetReference
@@ -5187,11 +4909,11 @@ def __init__(
         :paramtype tags: dict[str, str]
         """
         super(BatchPipelineComponentDeploymentConfiguration, self).__init__(**kwargs)
-        self.deployment_configuration_type = 'PipelineComponent'  # type: str
-        self.component_id = kwargs.get('component_id', None)
-        self.description = kwargs.get('description', None)
-        self.settings = kwargs.get('settings', None)
-        self.tags = kwargs.get('tags', None)
+        self.deployment_configuration_type = "PipelineComponent"  # type: str
+        self.component_id = kwargs.get("component_id", None)
+        self.description = kwargs.get("description", None)
+        self.settings = kwargs.get("settings", None)
+        self.tags = kwargs.get("tags", None)
 
 
 class BatchRetrySettings(msrest.serialization.Model):
@@ -5204,14 +4926,11 @@ class BatchRetrySettings(msrest.serialization.Model):
     """
 
     _attribute_map = {
-        'max_retries': {'key': 'maxRetries', 'type': 'int'},
-        'timeout': {'key': 'timeout', 'type': 'duration'},
+        "max_retries": {"key": "maxRetries", "type": "int"},
+        "timeout": {"key": "timeout", "type": "duration"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword max_retries: Maximum retry count for a mini-batch.
         :paramtype max_retries: int
@@ -5219,45 +4938,44 @@ def __init__(
         :paramtype timeout: ~datetime.timedelta
         """
         super(BatchRetrySettings, self).__init__(**kwargs)
-        self.max_retries = kwargs.get('max_retries', 3)
-        self.timeout = kwargs.get('timeout', "PT30S")
+        self.max_retries = kwargs.get("max_retries", 3)
+        self.timeout = kwargs.get("timeout", "PT30S")
 
 
 class SamplingAlgorithm(msrest.serialization.Model):
     """The Sampling Algorithm used to generate hyperparameter values, along with properties to
-configure the algorithm.
+    configure the algorithm.
 
-    You probably want to use the sub-classes and not this class directly. Known
-    sub-classes are: BayesianSamplingAlgorithm, GridSamplingAlgorithm, RandomSamplingAlgorithm.
+        You probably want to use the sub-classes and not this class directly. Known
+        sub-classes are: BayesianSamplingAlgorithm, GridSamplingAlgorithm, RandomSamplingAlgorithm.
 
-    All required parameters must be populated in order to send to Azure.
+        All required parameters must be populated in order to send to Azure.
 
-    :ivar sampling_algorithm_type: Required. [Required] The algorithm used for generating
-     hyperparameter values, along with configuration properties.Constant filled by server. Possible
-     values include: "Grid", "Random", "Bayesian".
-    :vartype sampling_algorithm_type: str or
-     ~azure.mgmt.machinelearningservices.models.SamplingAlgorithmType
+        :ivar sampling_algorithm_type: Required. [Required] The algorithm used for generating
+         hyperparameter values, along with configuration properties.Constant filled by server. Possible
+         values include: "Grid", "Random", "Bayesian".
+        :vartype sampling_algorithm_type: str or
+         ~azure.mgmt.machinelearningservices.models.SamplingAlgorithmType
     """
 
     _validation = {
-        'sampling_algorithm_type': {'required': True},
+        "sampling_algorithm_type": {"required": True},
     }
 
     _attribute_map = {
-        'sampling_algorithm_type': {'key': 'samplingAlgorithmType', 'type': 'str'},
+        "sampling_algorithm_type": {"key": "samplingAlgorithmType", "type": "str"},
     }
 
     _subtype_map = {
-        'sampling_algorithm_type': {'Bayesian': 'BayesianSamplingAlgorithm', 'Grid': 'GridSamplingAlgorithm',
-                                    'Random': 'RandomSamplingAlgorithm'}
+        "sampling_algorithm_type": {
+            "Bayesian": "BayesianSamplingAlgorithm",
+            "Grid": "GridSamplingAlgorithm",
+            "Random": "RandomSamplingAlgorithm",
+        }
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
-        """
-        """
+    def __init__(self, **kwargs):
+        """ """
         super(SamplingAlgorithm, self).__init__(**kwargs)
         self.sampling_algorithm_type = None  # type: Optional[str]
 
@@ -5275,21 +4993,17 @@ class BayesianSamplingAlgorithm(SamplingAlgorithm):
     """
 
     _validation = {
-        'sampling_algorithm_type': {'required': True},
+        "sampling_algorithm_type": {"required": True},
     }
 
     _attribute_map = {
-        'sampling_algorithm_type': {'key': 'samplingAlgorithmType', 'type': 'str'},
+        "sampling_algorithm_type": {"key": "samplingAlgorithmType", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
-        """
-        """
+    def __init__(self, **kwargs):
+        """ """
         super(BayesianSamplingAlgorithm, self).__init__(**kwargs)
-        self.sampling_algorithm_type = 'Bayesian'  # type: str
+        self.sampling_algorithm_type = "Bayesian"  # type: str
 
 
 class BindOptions(msrest.serialization.Model):
@@ -5304,15 +5018,12 @@ class BindOptions(msrest.serialization.Model):
     """
 
     _attribute_map = {
-        'propagation': {'key': 'propagation', 'type': 'str'},
-        'create_host_path': {'key': 'createHostPath', 'type': 'bool'},
-        'selinux': {'key': 'selinux', 'type': 'str'},
+        "propagation": {"key": "propagation", "type": "str"},
+        "create_host_path": {"key": "createHostPath", "type": "bool"},
+        "selinux": {"key": "selinux", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword propagation: Type of Bind Option.
         :paramtype propagation: str
@@ -5322,9 +5033,9 @@ def __init__(
         :paramtype selinux: str
         """
         super(BindOptions, self).__init__(**kwargs)
-        self.propagation = kwargs.get('propagation', None)
-        self.create_host_path = kwargs.get('create_host_path', None)
-        self.selinux = kwargs.get('selinux', None)
+        self.propagation = kwargs.get("propagation", None)
+        self.create_host_path = kwargs.get("create_host_path", None)
+        self.selinux = kwargs.get("selinux", None)
 
 
 class BlobReferenceForConsumptionDto(msrest.serialization.Model):
@@ -5340,15 +5051,12 @@ class BlobReferenceForConsumptionDto(msrest.serialization.Model):
     """
 
     _attribute_map = {
-        'blob_uri': {'key': 'blobUri', 'type': 'str'},
-        'credential': {'key': 'credential', 'type': 'PendingUploadCredentialDto'},
-        'storage_account_arm_id': {'key': 'storageAccountArmId', 'type': 'str'},
+        "blob_uri": {"key": "blobUri", "type": "str"},
+        "credential": {"key": "credential", "type": "PendingUploadCredentialDto"},
+        "storage_account_arm_id": {"key": "storageAccountArmId", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword blob_uri: Blob URI path for client to upload data.
          Example: https://blob.windows.core.net/Container/Path.
@@ -5359,9 +5067,9 @@ def __init__(
         :paramtype storage_account_arm_id: str
         """
         super(BlobReferenceForConsumptionDto, self).__init__(**kwargs)
-        self.blob_uri = kwargs.get('blob_uri', None)
-        self.credential = kwargs.get('credential', None)
-        self.storage_account_arm_id = kwargs.get('storage_account_arm_id', None)
+        self.blob_uri = kwargs.get("blob_uri", None)
+        self.credential = kwargs.get("credential", None)
+        self.storage_account_arm_id = kwargs.get("storage_account_arm_id", None)
 
 
 class BuildContext(msrest.serialization.Model):
@@ -5388,18 +5096,15 @@ class BuildContext(msrest.serialization.Model):
     """
 
     _validation = {
-        'context_uri': {'required': True, 'min_length': 1, 'pattern': r'[a-zA-Z0-9_]'},
+        "context_uri": {"required": True, "min_length": 1, "pattern": r"[a-zA-Z0-9_]"},
     }
 
     _attribute_map = {
-        'context_uri': {'key': 'contextUri', 'type': 'str'},
-        'dockerfile_path': {'key': 'dockerfilePath', 'type': 'str'},
+        "context_uri": {"key": "contextUri", "type": "str"},
+        "dockerfile_path": {"key": "dockerfilePath", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword context_uri: Required. [Required] URI of the Docker build context used to build the
          image. Supports blob URIs on environment creation and may return blob or Git URIs.
@@ -5419,8 +5124,8 @@ def __init__(
         :paramtype dockerfile_path: str
         """
         super(BuildContext, self).__init__(**kwargs)
-        self.context_uri = kwargs['context_uri']
-        self.dockerfile_path = kwargs.get('dockerfile_path', "Dockerfile")
+        self.context_uri = kwargs["context_uri"]
+        self.dockerfile_path = kwargs.get("dockerfile_path", "Dockerfile")
 
 
 class CallRateLimit(msrest.serialization.Model):
@@ -5435,15 +5140,12 @@ class CallRateLimit(msrest.serialization.Model):
     """
 
     _attribute_map = {
-        'count': {'key': 'count', 'type': 'float'},
-        'renewal_period': {'key': 'renewalPeriod', 'type': 'float'},
-        'rules': {'key': 'rules', 'type': '[ThrottlingRule]'},
+        "count": {"key": "count", "type": "float"},
+        "renewal_period": {"key": "renewalPeriod", "type": "float"},
+        "rules": {"key": "rules", "type": "[ThrottlingRule]"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword count: The count value of Call Rate Limit.
         :paramtype count: float
@@ -5453,9 +5155,9 @@ def __init__(
         :paramtype rules: list[~azure.mgmt.machinelearningservices.models.ThrottlingRule]
         """
         super(CallRateLimit, self).__init__(**kwargs)
-        self.count = kwargs.get('count', None)
-        self.renewal_period = kwargs.get('renewal_period', None)
-        self.rules = kwargs.get('rules', None)
+        self.count = kwargs.get("count", None)
+        self.renewal_period = kwargs.get("renewal_period", None)
+        self.rules = kwargs.get("rules", None)
 
 
 class CapacityConfig(msrest.serialization.Model):
@@ -5474,17 +5176,14 @@ class CapacityConfig(msrest.serialization.Model):
     """
 
     _attribute_map = {
-        'minimum': {'key': 'minimum', 'type': 'int'},
-        'maximum': {'key': 'maximum', 'type': 'int'},
-        'step': {'key': 'step', 'type': 'int'},
-        'default': {'key': 'default', 'type': 'int'},
-        'allowed_values': {'key': 'allowedValues', 'type': '[int]'},
+        "minimum": {"key": "minimum", "type": "int"},
+        "maximum": {"key": "maximum", "type": "int"},
+        "step": {"key": "step", "type": "int"},
+        "default": {"key": "default", "type": "int"},
+        "allowed_values": {"key": "allowedValues", "type": "[int]"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword minimum: The minimum capacity.
         :paramtype minimum: int
@@ -5498,11 +5197,11 @@ def __init__(
         :paramtype allowed_values: list[int]
         """
         super(CapacityConfig, self).__init__(**kwargs)
-        self.minimum = kwargs.get('minimum', None)
-        self.maximum = kwargs.get('maximum', None)
-        self.step = kwargs.get('step', None)
-        self.default = kwargs.get('default', None)
-        self.allowed_values = kwargs.get('allowed_values', None)
+        self.minimum = kwargs.get("minimum", None)
+        self.maximum = kwargs.get("maximum", None)
+        self.step = kwargs.get("step", None)
+        self.default = kwargs.get("default", None)
+        self.allowed_values = kwargs.get("allowed_values", None)
 
 
 class CapacityReservationGroup(TrackedResource):
@@ -5540,31 +5239,28 @@ class CapacityReservationGroup(TrackedResource):
     """
 
     _validation = {
-        'id': {'readonly': True},
-        'name': {'readonly': True},
-        'type': {'readonly': True},
-        'system_data': {'readonly': True},
-        'location': {'required': True},
-        'properties': {'required': True},
+        "id": {"readonly": True},
+        "name": {"readonly": True},
+        "type": {"readonly": True},
+        "system_data": {"readonly": True},
+        "location": {"required": True},
+        "properties": {"required": True},
     }
 
     _attribute_map = {
-        'id': {'key': 'id', 'type': 'str'},
-        'name': {'key': 'name', 'type': 'str'},
-        'type': {'key': 'type', 'type': 'str'},
-        'system_data': {'key': 'systemData', 'type': 'SystemData'},
-        'tags': {'key': 'tags', 'type': '{str}'},
-        'location': {'key': 'location', 'type': 'str'},
-        'identity': {'key': 'identity', 'type': 'ManagedServiceIdentity'},
-        'kind': {'key': 'kind', 'type': 'str'},
-        'properties': {'key': 'properties', 'type': 'CapacityReservationGroupProperties'},
-        'sku': {'key': 'sku', 'type': 'Sku'},
+        "id": {"key": "id", "type": "str"},
+        "name": {"key": "name", "type": "str"},
+        "type": {"key": "type", "type": "str"},
+        "system_data": {"key": "systemData", "type": "SystemData"},
+        "tags": {"key": "tags", "type": "{str}"},
+        "location": {"key": "location", "type": "str"},
+        "identity": {"key": "identity", "type": "ManagedServiceIdentity"},
+        "kind": {"key": "kind", "type": "str"},
+        "properties": {"key": "properties", "type": "CapacityReservationGroupProperties"},
+        "sku": {"key": "sku", "type": "Sku"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword tags: A set of tags. Resource tags.
         :paramtype tags: dict[str, str]
@@ -5582,10 +5278,10 @@ def __init__(
         :paramtype sku: ~azure.mgmt.machinelearningservices.models.Sku
         """
         super(CapacityReservationGroup, self).__init__(**kwargs)
-        self.identity = kwargs.get('identity', None)
-        self.kind = kwargs.get('kind', None)
-        self.properties = kwargs['properties']
-        self.sku = kwargs.get('sku', None)
+        self.identity = kwargs.get("identity", None)
+        self.kind = kwargs.get("kind", None)
+        self.properties = kwargs["properties"]
+        self.sku = kwargs.get("sku", None)
 
 
 class CapacityReservationGroupProperties(msrest.serialization.Model):
@@ -5600,18 +5296,15 @@ class CapacityReservationGroupProperties(msrest.serialization.Model):
     """
 
     _validation = {
-        'reserved_capacity': {'required': True},
+        "reserved_capacity": {"required": True},
     }
 
     _attribute_map = {
-        'offer': {'key': 'offer', 'type': 'ServerlessOffer'},
-        'reserved_capacity': {'key': 'reservedCapacity', 'type': 'int'},
+        "offer": {"key": "offer", "type": "ServerlessOffer"},
+        "reserved_capacity": {"key": "reservedCapacity", "type": "int"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword offer: Offer used by this capacity reservation group.
         :paramtype offer: ~azure.mgmt.machinelearningservices.models.ServerlessOffer
@@ -5619,8 +5312,8 @@ def __init__(
         :paramtype reserved_capacity: int
         """
         super(CapacityReservationGroupProperties, self).__init__(**kwargs)
-        self.offer = kwargs.get('offer', None)
-        self.reserved_capacity = kwargs['reserved_capacity']
+        self.offer = kwargs.get("offer", None)
+        self.reserved_capacity = kwargs["reserved_capacity"]
 
 
 class CapacityReservationGroupTrackedResourceArmPaginatedResult(msrest.serialization.Model):
@@ -5634,14 +5327,11 @@ class CapacityReservationGroupTrackedResourceArmPaginatedResult(msrest.serializa
     """
 
     _attribute_map = {
-        'next_link': {'key': 'nextLink', 'type': 'str'},
-        'value': {'key': 'value', 'type': '[CapacityReservationGroup]'},
+        "next_link": {"key": "nextLink", "type": "str"},
+        "value": {"key": "value", "type": "[CapacityReservationGroup]"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword next_link: The link to the next page of CapacityReservationGroup objects. If null,
          there are no additional pages.
@@ -5650,8 +5340,8 @@ def __init__(
         :paramtype value: list[~azure.mgmt.machinelearningservices.models.CapacityReservationGroup]
         """
         super(CapacityReservationGroupTrackedResourceArmPaginatedResult, self).__init__(**kwargs)
-        self.next_link = kwargs.get('next_link', None)
-        self.value = kwargs.get('value', None)
+        self.next_link = kwargs.get("next_link", None)
+        self.value = kwargs.get("value", None)
 
 
 class DataDriftMetricThresholdBase(msrest.serialization.Model):
@@ -5671,23 +5361,22 @@ class DataDriftMetricThresholdBase(msrest.serialization.Model):
     """
 
     _validation = {
-        'data_type': {'required': True},
+        "data_type": {"required": True},
     }
 
     _attribute_map = {
-        'data_type': {'key': 'dataType', 'type': 'str'},
-        'threshold': {'key': 'threshold', 'type': 'MonitoringThreshold'},
+        "data_type": {"key": "dataType", "type": "str"},
+        "threshold": {"key": "threshold", "type": "MonitoringThreshold"},
     }
 
     _subtype_map = {
-        'data_type': {'Categorical': 'CategoricalDataDriftMetricThreshold',
-                      'Numerical': 'NumericalDataDriftMetricThreshold'}
+        "data_type": {
+            "Categorical": "CategoricalDataDriftMetricThreshold",
+            "Numerical": "NumericalDataDriftMetricThreshold",
+        }
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword threshold: The threshold value. If null, a default value will be set depending on the
          selected metric.
@@ -5695,7 +5384,7 @@ def __init__(
         """
         super(DataDriftMetricThresholdBase, self).__init__(**kwargs)
         self.data_type = None  # type: Optional[str]
-        self.threshold = kwargs.get('threshold', None)
+        self.threshold = kwargs.get("threshold", None)
 
 
 class CategoricalDataDriftMetricThreshold(DataDriftMetricThresholdBase):
@@ -5715,20 +5404,17 @@ class CategoricalDataDriftMetricThreshold(DataDriftMetricThresholdBase):
     """
 
     _validation = {
-        'data_type': {'required': True},
-        'metric': {'required': True},
+        "data_type": {"required": True},
+        "metric": {"required": True},
     }
 
     _attribute_map = {
-        'data_type': {'key': 'dataType', 'type': 'str'},
-        'threshold': {'key': 'threshold', 'type': 'MonitoringThreshold'},
-        'metric': {'key': 'metric', 'type': 'str'},
+        "data_type": {"key": "dataType", "type": "str"},
+        "threshold": {"key": "threshold", "type": "MonitoringThreshold"},
+        "metric": {"key": "metric", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword threshold: The threshold value. If null, a default value will be set depending on the
          selected metric.
@@ -5738,8 +5424,8 @@ def __init__(
         :paramtype metric: str or ~azure.mgmt.machinelearningservices.models.CategoricalDataDriftMetric
         """
         super(CategoricalDataDriftMetricThreshold, self).__init__(**kwargs)
-        self.data_type = 'Categorical'  # type: str
-        self.metric = kwargs['metric']
+        self.data_type = "Categorical"  # type: str
+        self.metric = kwargs["metric"]
 
 
 class DataQualityMetricThresholdBase(msrest.serialization.Model):
@@ -5759,23 +5445,22 @@ class DataQualityMetricThresholdBase(msrest.serialization.Model):
     """
 
     _validation = {
-        'data_type': {'required': True},
+        "data_type": {"required": True},
     }
 
     _attribute_map = {
-        'data_type': {'key': 'dataType', 'type': 'str'},
-        'threshold': {'key': 'threshold', 'type': 'MonitoringThreshold'},
+        "data_type": {"key": "dataType", "type": "str"},
+        "threshold": {"key": "threshold", "type": "MonitoringThreshold"},
     }
 
     _subtype_map = {
-        'data_type': {'Categorical': 'CategoricalDataQualityMetricThreshold',
-                      'Numerical': 'NumericalDataQualityMetricThreshold'}
+        "data_type": {
+            "Categorical": "CategoricalDataQualityMetricThreshold",
+            "Numerical": "NumericalDataQualityMetricThreshold",
+        }
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword threshold: The threshold value. If null, a default value will be set depending on the
          selected metric.
@@ -5783,7 +5468,7 @@ def __init__(
         """
         super(DataQualityMetricThresholdBase, self).__init__(**kwargs)
         self.data_type = None  # type: Optional[str]
-        self.threshold = kwargs.get('threshold', None)
+        self.threshold = kwargs.get("threshold", None)
 
 
 class CategoricalDataQualityMetricThreshold(DataQualityMetricThresholdBase):
@@ -5803,20 +5488,17 @@ class CategoricalDataQualityMetricThreshold(DataQualityMetricThresholdBase):
     """
 
     _validation = {
-        'data_type': {'required': True},
-        'metric': {'required': True},
+        "data_type": {"required": True},
+        "metric": {"required": True},
     }
 
     _attribute_map = {
-        'data_type': {'key': 'dataType', 'type': 'str'},
-        'threshold': {'key': 'threshold', 'type': 'MonitoringThreshold'},
-        'metric': {'key': 'metric', 'type': 'str'},
+        "data_type": {"key": "dataType", "type": "str"},
+        "threshold": {"key": "threshold", "type": "MonitoringThreshold"},
+        "metric": {"key": "metric", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword threshold: The threshold value. If null, a default value will be set depending on the
          selected metric.
@@ -5827,8 +5509,8 @@ def __init__(
          ~azure.mgmt.machinelearningservices.models.CategoricalDataQualityMetric
         """
         super(CategoricalDataQualityMetricThreshold, self).__init__(**kwargs)
-        self.data_type = 'Categorical'  # type: str
-        self.metric = kwargs['metric']
+        self.data_type = "Categorical"  # type: str
+        self.metric = kwargs["metric"]
 
 
 class PredictionDriftMetricThresholdBase(msrest.serialization.Model):
@@ -5848,23 +5530,22 @@ class PredictionDriftMetricThresholdBase(msrest.serialization.Model):
     """
 
     _validation = {
-        'data_type': {'required': True},
+        "data_type": {"required": True},
     }
 
     _attribute_map = {
-        'data_type': {'key': 'dataType', 'type': 'str'},
-        'threshold': {'key': 'threshold', 'type': 'MonitoringThreshold'},
+        "data_type": {"key": "dataType", "type": "str"},
+        "threshold": {"key": "threshold", "type": "MonitoringThreshold"},
     }
 
     _subtype_map = {
-        'data_type': {'Categorical': 'CategoricalPredictionDriftMetricThreshold',
-                      'Numerical': 'NumericalPredictionDriftMetricThreshold'}
+        "data_type": {
+            "Categorical": "CategoricalPredictionDriftMetricThreshold",
+            "Numerical": "NumericalPredictionDriftMetricThreshold",
+        }
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword threshold: The threshold value. If null, a default value will be set depending on the
          selected metric.
@@ -5872,7 +5553,7 @@ def __init__(
         """
         super(PredictionDriftMetricThresholdBase, self).__init__(**kwargs)
         self.data_type = None  # type: Optional[str]
-        self.threshold = kwargs.get('threshold', None)
+        self.threshold = kwargs.get("threshold", None)
 
 
 class CategoricalPredictionDriftMetricThreshold(PredictionDriftMetricThresholdBase):
@@ -5894,20 +5575,17 @@ class CategoricalPredictionDriftMetricThreshold(PredictionDriftMetricThresholdBa
     """
 
     _validation = {
-        'data_type': {'required': True},
-        'metric': {'required': True},
+        "data_type": {"required": True},
+        "metric": {"required": True},
     }
 
     _attribute_map = {
-        'data_type': {'key': 'dataType', 'type': 'str'},
-        'threshold': {'key': 'threshold', 'type': 'MonitoringThreshold'},
-        'metric': {'key': 'metric', 'type': 'str'},
+        "data_type": {"key": "dataType", "type": "str"},
+        "threshold": {"key": "threshold", "type": "MonitoringThreshold"},
+        "metric": {"key": "metric", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword threshold: The threshold value. If null, a default value will be set depending on the
          selected metric.
@@ -5919,8 +5597,8 @@ def __init__(
          ~azure.mgmt.machinelearningservices.models.CategoricalPredictionDriftMetric
         """
         super(CategoricalPredictionDriftMetricThreshold, self).__init__(**kwargs)
-        self.data_type = 'Categorical'  # type: str
-        self.metric = kwargs['metric']
+        self.data_type = "Categorical"  # type: str
+        self.metric = kwargs["metric"]
 
 
 class CertificateDatastoreCredentials(DatastoreCredentials):
@@ -5947,27 +5625,24 @@ class CertificateDatastoreCredentials(DatastoreCredentials):
     """
 
     _validation = {
-        'credentials_type': {'required': True},
-        'client_id': {'required': True},
-        'secrets': {'required': True},
-        'tenant_id': {'required': True},
-        'thumbprint': {'required': True, 'min_length': 1, 'pattern': r'[a-zA-Z0-9_]'},
+        "credentials_type": {"required": True},
+        "client_id": {"required": True},
+        "secrets": {"required": True},
+        "tenant_id": {"required": True},
+        "thumbprint": {"required": True, "min_length": 1, "pattern": r"[a-zA-Z0-9_]"},
     }
 
     _attribute_map = {
-        'credentials_type': {'key': 'credentialsType', 'type': 'str'},
-        'authority_url': {'key': 'authorityUrl', 'type': 'str'},
-        'client_id': {'key': 'clientId', 'type': 'str'},
-        'resource_url': {'key': 'resourceUrl', 'type': 'str'},
-        'secrets': {'key': 'secrets', 'type': 'CertificateDatastoreSecrets'},
-        'tenant_id': {'key': 'tenantId', 'type': 'str'},
-        'thumbprint': {'key': 'thumbprint', 'type': 'str'},
+        "credentials_type": {"key": "credentialsType", "type": "str"},
+        "authority_url": {"key": "authorityUrl", "type": "str"},
+        "client_id": {"key": "clientId", "type": "str"},
+        "resource_url": {"key": "resourceUrl", "type": "str"},
+        "secrets": {"key": "secrets", "type": "CertificateDatastoreSecrets"},
+        "tenant_id": {"key": "tenantId", "type": "str"},
+        "thumbprint": {"key": "thumbprint", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword authority_url: Authority URL used for authentication.
         :paramtype authority_url: str
@@ -5985,13 +5660,13 @@ def __init__(
         :paramtype thumbprint: str
         """
         super(CertificateDatastoreCredentials, self).__init__(**kwargs)
-        self.credentials_type = 'Certificate'  # type: str
-        self.authority_url = kwargs.get('authority_url', None)
-        self.client_id = kwargs['client_id']
-        self.resource_url = kwargs.get('resource_url', None)
-        self.secrets = kwargs['secrets']
-        self.tenant_id = kwargs['tenant_id']
-        self.thumbprint = kwargs['thumbprint']
+        self.credentials_type = "Certificate"  # type: str
+        self.authority_url = kwargs.get("authority_url", None)
+        self.client_id = kwargs["client_id"]
+        self.resource_url = kwargs.get("resource_url", None)
+        self.secrets = kwargs["secrets"]
+        self.tenant_id = kwargs["tenant_id"]
+        self.thumbprint = kwargs["thumbprint"]
 
 
 class CertificateDatastoreSecrets(DatastoreSecrets):
@@ -6008,25 +5683,22 @@ class CertificateDatastoreSecrets(DatastoreSecrets):
     """
 
     _validation = {
-        'secrets_type': {'required': True},
+        "secrets_type": {"required": True},
     }
 
     _attribute_map = {
-        'secrets_type': {'key': 'secretsType', 'type': 'str'},
-        'certificate': {'key': 'certificate', 'type': 'str'},
+        "secrets_type": {"key": "secretsType", "type": "str"},
+        "certificate": {"key": "certificate", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword certificate: Service principal certificate.
         :paramtype certificate: str
         """
         super(CertificateDatastoreSecrets, self).__init__(**kwargs)
-        self.secrets_type = 'Certificate'  # type: str
-        self.certificate = kwargs.get('certificate', None)
+        self.secrets_type = "Certificate"  # type: str
+        self.certificate = kwargs.get("certificate", None)
 
 
 class TableVertical(msrest.serialization.Model):
@@ -6070,24 +5742,21 @@ class TableVertical(msrest.serialization.Model):
     """
 
     _attribute_map = {
-        'cv_split_column_names': {'key': 'cvSplitColumnNames', 'type': '[str]'},
-        'featurization_settings': {'key': 'featurizationSettings', 'type': 'TableVerticalFeaturizationSettings'},
-        'fixed_parameters': {'key': 'fixedParameters', 'type': 'TableFixedParameters'},
-        'limit_settings': {'key': 'limitSettings', 'type': 'TableVerticalLimitSettings'},
-        'n_cross_validations': {'key': 'nCrossValidations', 'type': 'NCrossValidations'},
-        'search_space': {'key': 'searchSpace', 'type': '[TableParameterSubspace]'},
-        'sweep_settings': {'key': 'sweepSettings', 'type': 'TableSweepSettings'},
-        'test_data': {'key': 'testData', 'type': 'MLTableJobInput'},
-        'test_data_size': {'key': 'testDataSize', 'type': 'float'},
-        'validation_data': {'key': 'validationData', 'type': 'MLTableJobInput'},
-        'validation_data_size': {'key': 'validationDataSize', 'type': 'float'},
-        'weight_column_name': {'key': 'weightColumnName', 'type': 'str'},
+        "cv_split_column_names": {"key": "cvSplitColumnNames", "type": "[str]"},
+        "featurization_settings": {"key": "featurizationSettings", "type": "TableVerticalFeaturizationSettings"},
+        "fixed_parameters": {"key": "fixedParameters", "type": "TableFixedParameters"},
+        "limit_settings": {"key": "limitSettings", "type": "TableVerticalLimitSettings"},
+        "n_cross_validations": {"key": "nCrossValidations", "type": "NCrossValidations"},
+        "search_space": {"key": "searchSpace", "type": "[TableParameterSubspace]"},
+        "sweep_settings": {"key": "sweepSettings", "type": "TableSweepSettings"},
+        "test_data": {"key": "testData", "type": "MLTableJobInput"},
+        "test_data_size": {"key": "testDataSize", "type": "float"},
+        "validation_data": {"key": "validationData", "type": "MLTableJobInput"},
+        "validation_data_size": {"key": "validationDataSize", "type": "float"},
+        "weight_column_name": {"key": "weightColumnName", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword cv_split_column_names: Columns to use for CVSplit data.
         :paramtype cv_split_column_names: list[str]
@@ -6129,18 +5798,18 @@ def __init__(
         :paramtype weight_column_name: str
         """
         super(TableVertical, self).__init__(**kwargs)
-        self.cv_split_column_names = kwargs.get('cv_split_column_names', None)
-        self.featurization_settings = kwargs.get('featurization_settings', None)
-        self.fixed_parameters = kwargs.get('fixed_parameters', None)
-        self.limit_settings = kwargs.get('limit_settings', None)
-        self.n_cross_validations = kwargs.get('n_cross_validations', None)
-        self.search_space = kwargs.get('search_space', None)
-        self.sweep_settings = kwargs.get('sweep_settings', None)
-        self.test_data = kwargs.get('test_data', None)
-        self.test_data_size = kwargs.get('test_data_size', None)
-        self.validation_data = kwargs.get('validation_data', None)
-        self.validation_data_size = kwargs.get('validation_data_size', None)
-        self.weight_column_name = kwargs.get('weight_column_name', None)
+        self.cv_split_column_names = kwargs.get("cv_split_column_names", None)
+        self.featurization_settings = kwargs.get("featurization_settings", None)
+        self.fixed_parameters = kwargs.get("fixed_parameters", None)
+        self.limit_settings = kwargs.get("limit_settings", None)
+        self.n_cross_validations = kwargs.get("n_cross_validations", None)
+        self.search_space = kwargs.get("search_space", None)
+        self.sweep_settings = kwargs.get("sweep_settings", None)
+        self.test_data = kwargs.get("test_data", None)
+        self.test_data_size = kwargs.get("test_data_size", None)
+        self.validation_data = kwargs.get("validation_data", None)
+        self.validation_data_size = kwargs.get("validation_data_size", None)
+        self.weight_column_name = kwargs.get("weight_column_name", None)
 
 
 class Classification(AutoMLVertical, TableVertical):
@@ -6208,36 +5877,33 @@ class Classification(AutoMLVertical, TableVertical):
     """
 
     _validation = {
-        'task_type': {'required': True},
-        'training_data': {'required': True},
+        "task_type": {"required": True},
+        "training_data": {"required": True},
     }
 
     _attribute_map = {
-        'cv_split_column_names': {'key': 'cvSplitColumnNames', 'type': '[str]'},
-        'featurization_settings': {'key': 'featurizationSettings', 'type': 'TableVerticalFeaturizationSettings'},
-        'fixed_parameters': {'key': 'fixedParameters', 'type': 'TableFixedParameters'},
-        'limit_settings': {'key': 'limitSettings', 'type': 'TableVerticalLimitSettings'},
-        'n_cross_validations': {'key': 'nCrossValidations', 'type': 'NCrossValidations'},
-        'search_space': {'key': 'searchSpace', 'type': '[TableParameterSubspace]'},
-        'sweep_settings': {'key': 'sweepSettings', 'type': 'TableSweepSettings'},
-        'test_data': {'key': 'testData', 'type': 'MLTableJobInput'},
-        'test_data_size': {'key': 'testDataSize', 'type': 'float'},
-        'validation_data': {'key': 'validationData', 'type': 'MLTableJobInput'},
-        'validation_data_size': {'key': 'validationDataSize', 'type': 'float'},
-        'weight_column_name': {'key': 'weightColumnName', 'type': 'str'},
-        'log_verbosity': {'key': 'logVerbosity', 'type': 'str'},
-        'target_column_name': {'key': 'targetColumnName', 'type': 'str'},
-        'task_type': {'key': 'taskType', 'type': 'str'},
-        'training_data': {'key': 'trainingData', 'type': 'MLTableJobInput'},
-        'positive_label': {'key': 'positiveLabel', 'type': 'str'},
-        'primary_metric': {'key': 'primaryMetric', 'type': 'str'},
-        'training_settings': {'key': 'trainingSettings', 'type': 'ClassificationTrainingSettings'},
+        "cv_split_column_names": {"key": "cvSplitColumnNames", "type": "[str]"},
+        "featurization_settings": {"key": "featurizationSettings", "type": "TableVerticalFeaturizationSettings"},
+        "fixed_parameters": {"key": "fixedParameters", "type": "TableFixedParameters"},
+        "limit_settings": {"key": "limitSettings", "type": "TableVerticalLimitSettings"},
+        "n_cross_validations": {"key": "nCrossValidations", "type": "NCrossValidations"},
+        "search_space": {"key": "searchSpace", "type": "[TableParameterSubspace]"},
+        "sweep_settings": {"key": "sweepSettings", "type": "TableSweepSettings"},
+        "test_data": {"key": "testData", "type": "MLTableJobInput"},
+        "test_data_size": {"key": "testDataSize", "type": "float"},
+        "validation_data": {"key": "validationData", "type": "MLTableJobInput"},
+        "validation_data_size": {"key": "validationDataSize", "type": "float"},
+        "weight_column_name": {"key": "weightColumnName", "type": "str"},
+        "log_verbosity": {"key": "logVerbosity", "type": "str"},
+        "target_column_name": {"key": "targetColumnName", "type": "str"},
+        "task_type": {"key": "taskType", "type": "str"},
+        "training_data": {"key": "trainingData", "type": "MLTableJobInput"},
+        "positive_label": {"key": "positiveLabel", "type": "str"},
+        "primary_metric": {"key": "primaryMetric", "type": "str"},
+        "training_settings": {"key": "trainingSettings", "type": "ClassificationTrainingSettings"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword cv_split_column_names: Columns to use for CVSplit data.
         :paramtype cv_split_column_names: list[str]
@@ -6296,25 +5962,25 @@ def __init__(
          ~azure.mgmt.machinelearningservices.models.ClassificationTrainingSettings
         """
         super(Classification, self).__init__(**kwargs)
-        self.cv_split_column_names = kwargs.get('cv_split_column_names', None)
-        self.featurization_settings = kwargs.get('featurization_settings', None)
-        self.fixed_parameters = kwargs.get('fixed_parameters', None)
-        self.limit_settings = kwargs.get('limit_settings', None)
-        self.n_cross_validations = kwargs.get('n_cross_validations', None)
-        self.search_space = kwargs.get('search_space', None)
-        self.sweep_settings = kwargs.get('sweep_settings', None)
-        self.test_data = kwargs.get('test_data', None)
-        self.test_data_size = kwargs.get('test_data_size', None)
-        self.validation_data = kwargs.get('validation_data', None)
-        self.validation_data_size = kwargs.get('validation_data_size', None)
-        self.weight_column_name = kwargs.get('weight_column_name', None)
-        self.task_type = 'Classification'  # type: str
-        self.positive_label = kwargs.get('positive_label', None)
-        self.primary_metric = kwargs.get('primary_metric', None)
-        self.training_settings = kwargs.get('training_settings', None)
-        self.log_verbosity = kwargs.get('log_verbosity', None)
-        self.target_column_name = kwargs.get('target_column_name', None)
-        self.training_data = kwargs['training_data']
+        self.cv_split_column_names = kwargs.get("cv_split_column_names", None)
+        self.featurization_settings = kwargs.get("featurization_settings", None)
+        self.fixed_parameters = kwargs.get("fixed_parameters", None)
+        self.limit_settings = kwargs.get("limit_settings", None)
+        self.n_cross_validations = kwargs.get("n_cross_validations", None)
+        self.search_space = kwargs.get("search_space", None)
+        self.sweep_settings = kwargs.get("sweep_settings", None)
+        self.test_data = kwargs.get("test_data", None)
+        self.test_data_size = kwargs.get("test_data_size", None)
+        self.validation_data = kwargs.get("validation_data", None)
+        self.validation_data_size = kwargs.get("validation_data_size", None)
+        self.weight_column_name = kwargs.get("weight_column_name", None)
+        self.task_type = "Classification"  # type: str
+        self.positive_label = kwargs.get("positive_label", None)
+        self.primary_metric = kwargs.get("primary_metric", None)
+        self.training_settings = kwargs.get("training_settings", None)
+        self.log_verbosity = kwargs.get("log_verbosity", None)
+        self.target_column_name = kwargs.get("target_column_name", None)
+        self.training_data = kwargs["training_data"]
 
 
 class ModelPerformanceMetricThresholdBase(msrest.serialization.Model):
@@ -6334,23 +6000,22 @@ class ModelPerformanceMetricThresholdBase(msrest.serialization.Model):
     """
 
     _validation = {
-        'model_type': {'required': True},
+        "model_type": {"required": True},
     }
 
     _attribute_map = {
-        'model_type': {'key': 'modelType', 'type': 'str'},
-        'threshold': {'key': 'threshold', 'type': 'MonitoringThreshold'},
+        "model_type": {"key": "modelType", "type": "str"},
+        "threshold": {"key": "threshold", "type": "MonitoringThreshold"},
     }
 
     _subtype_map = {
-        'model_type': {'Classification': 'ClassificationModelPerformanceMetricThreshold',
-                       'Regression': 'RegressionModelPerformanceMetricThreshold'}
+        "model_type": {
+            "Classification": "ClassificationModelPerformanceMetricThreshold",
+            "Regression": "RegressionModelPerformanceMetricThreshold",
+        }
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword threshold: The threshold value. If null, a default value will be set depending on the
          selected metric.
@@ -6358,7 +6023,7 @@ def __init__(
         """
         super(ModelPerformanceMetricThresholdBase, self).__init__(**kwargs)
         self.model_type = None  # type: Optional[str]
-        self.threshold = kwargs.get('threshold', None)
+        self.threshold = kwargs.get("threshold", None)
 
 
 class ClassificationModelPerformanceMetricThreshold(ModelPerformanceMetricThresholdBase):
@@ -6379,20 +6044,17 @@ class ClassificationModelPerformanceMetricThreshold(ModelPerformanceMetricThresh
     """
 
     _validation = {
-        'model_type': {'required': True},
-        'metric': {'required': True},
+        "model_type": {"required": True},
+        "metric": {"required": True},
     }
 
     _attribute_map = {
-        'model_type': {'key': 'modelType', 'type': 'str'},
-        'threshold': {'key': 'threshold', 'type': 'MonitoringThreshold'},
-        'metric': {'key': 'metric', 'type': 'str'},
+        "model_type": {"key": "modelType", "type": "str"},
+        "threshold": {"key": "threshold", "type": "MonitoringThreshold"},
+        "metric": {"key": "metric", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword threshold: The threshold value. If null, a default value will be set depending on the
          selected metric.
@@ -6403,8 +6065,8 @@ def __init__(
          ~azure.mgmt.machinelearningservices.models.ClassificationModelPerformanceMetric
         """
         super(ClassificationModelPerformanceMetricThreshold, self).__init__(**kwargs)
-        self.model_type = 'Classification'  # type: str
-        self.metric = kwargs['metric']
+        self.model_type = "Classification"  # type: str
+        self.metric = kwargs["metric"]
 
 
 class TrainingSettings(msrest.serialization.Model):
@@ -6438,20 +6100,17 @@ class TrainingSettings(msrest.serialization.Model):
     """
 
     _attribute_map = {
-        'enable_dnn_training': {'key': 'enableDnnTraining', 'type': 'bool'},
-        'enable_model_explainability': {'key': 'enableModelExplainability', 'type': 'bool'},
-        'enable_onnx_compatible_models': {'key': 'enableOnnxCompatibleModels', 'type': 'bool'},
-        'enable_stack_ensemble': {'key': 'enableStackEnsemble', 'type': 'bool'},
-        'enable_vote_ensemble': {'key': 'enableVoteEnsemble', 'type': 'bool'},
-        'ensemble_model_download_timeout': {'key': 'ensembleModelDownloadTimeout', 'type': 'duration'},
-        'stack_ensemble_settings': {'key': 'stackEnsembleSettings', 'type': 'StackEnsembleSettings'},
-        'training_mode': {'key': 'trainingMode', 'type': 'str'},
+        "enable_dnn_training": {"key": "enableDnnTraining", "type": "bool"},
+        "enable_model_explainability": {"key": "enableModelExplainability", "type": "bool"},
+        "enable_onnx_compatible_models": {"key": "enableOnnxCompatibleModels", "type": "bool"},
+        "enable_stack_ensemble": {"key": "enableStackEnsemble", "type": "bool"},
+        "enable_vote_ensemble": {"key": "enableVoteEnsemble", "type": "bool"},
+        "ensemble_model_download_timeout": {"key": "ensembleModelDownloadTimeout", "type": "duration"},
+        "stack_ensemble_settings": {"key": "stackEnsembleSettings", "type": "StackEnsembleSettings"},
+        "training_mode": {"key": "trainingMode", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword enable_dnn_training: Enable recommendation of DNN models.
         :paramtype enable_dnn_training: bool
@@ -6480,14 +6139,14 @@ def __init__(
         :paramtype training_mode: str or ~azure.mgmt.machinelearningservices.models.TrainingMode
         """
         super(TrainingSettings, self).__init__(**kwargs)
-        self.enable_dnn_training = kwargs.get('enable_dnn_training', False)
-        self.enable_model_explainability = kwargs.get('enable_model_explainability', True)
-        self.enable_onnx_compatible_models = kwargs.get('enable_onnx_compatible_models', False)
-        self.enable_stack_ensemble = kwargs.get('enable_stack_ensemble', True)
-        self.enable_vote_ensemble = kwargs.get('enable_vote_ensemble', True)
-        self.ensemble_model_download_timeout = kwargs.get('ensemble_model_download_timeout', "PT5M")
-        self.stack_ensemble_settings = kwargs.get('stack_ensemble_settings', None)
-        self.training_mode = kwargs.get('training_mode', None)
+        self.enable_dnn_training = kwargs.get("enable_dnn_training", False)
+        self.enable_model_explainability = kwargs.get("enable_model_explainability", True)
+        self.enable_onnx_compatible_models = kwargs.get("enable_onnx_compatible_models", False)
+        self.enable_stack_ensemble = kwargs.get("enable_stack_ensemble", True)
+        self.enable_vote_ensemble = kwargs.get("enable_vote_ensemble", True)
+        self.ensemble_model_download_timeout = kwargs.get("ensemble_model_download_timeout", "PT5M")
+        self.stack_ensemble_settings = kwargs.get("stack_ensemble_settings", None)
+        self.training_mode = kwargs.get("training_mode", None)
 
 
 class ClassificationTrainingSettings(TrainingSettings):
@@ -6527,22 +6186,19 @@ class ClassificationTrainingSettings(TrainingSettings):
     """
 
     _attribute_map = {
-        'enable_dnn_training': {'key': 'enableDnnTraining', 'type': 'bool'},
-        'enable_model_explainability': {'key': 'enableModelExplainability', 'type': 'bool'},
-        'enable_onnx_compatible_models': {'key': 'enableOnnxCompatibleModels', 'type': 'bool'},
-        'enable_stack_ensemble': {'key': 'enableStackEnsemble', 'type': 'bool'},
-        'enable_vote_ensemble': {'key': 'enableVoteEnsemble', 'type': 'bool'},
-        'ensemble_model_download_timeout': {'key': 'ensembleModelDownloadTimeout', 'type': 'duration'},
-        'stack_ensemble_settings': {'key': 'stackEnsembleSettings', 'type': 'StackEnsembleSettings'},
-        'training_mode': {'key': 'trainingMode', 'type': 'str'},
-        'allowed_training_algorithms': {'key': 'allowedTrainingAlgorithms', 'type': '[str]'},
-        'blocked_training_algorithms': {'key': 'blockedTrainingAlgorithms', 'type': '[str]'},
+        "enable_dnn_training": {"key": "enableDnnTraining", "type": "bool"},
+        "enable_model_explainability": {"key": "enableModelExplainability", "type": "bool"},
+        "enable_onnx_compatible_models": {"key": "enableOnnxCompatibleModels", "type": "bool"},
+        "enable_stack_ensemble": {"key": "enableStackEnsemble", "type": "bool"},
+        "enable_vote_ensemble": {"key": "enableVoteEnsemble", "type": "bool"},
+        "ensemble_model_download_timeout": {"key": "ensembleModelDownloadTimeout", "type": "duration"},
+        "stack_ensemble_settings": {"key": "stackEnsembleSettings", "type": "StackEnsembleSettings"},
+        "training_mode": {"key": "trainingMode", "type": "str"},
+        "allowed_training_algorithms": {"key": "allowedTrainingAlgorithms", "type": "[str]"},
+        "blocked_training_algorithms": {"key": "blockedTrainingAlgorithms", "type": "[str]"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword enable_dnn_training: Enable recommendation of DNN models.
         :paramtype enable_dnn_training: bool
@@ -6577,8 +6233,8 @@ def __init__(
          ~azure.mgmt.machinelearningservices.models.ClassificationModels]
         """
         super(ClassificationTrainingSettings, self).__init__(**kwargs)
-        self.allowed_training_algorithms = kwargs.get('allowed_training_algorithms', None)
-        self.blocked_training_algorithms = kwargs.get('blocked_training_algorithms', None)
+        self.allowed_training_algorithms = kwargs.get("allowed_training_algorithms", None)
+        self.blocked_training_algorithms = kwargs.get("blocked_training_algorithms", None)
 
 
 class ClusterUpdateParameters(msrest.serialization.Model):
@@ -6589,19 +6245,16 @@ class ClusterUpdateParameters(msrest.serialization.Model):
     """
 
     _attribute_map = {
-        'properties': {'key': 'properties.properties', 'type': 'ScaleSettingsInformation'},
+        "properties": {"key": "properties.properties", "type": "ScaleSettingsInformation"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword properties: Properties of ClusterUpdate.
         :paramtype properties: ~azure.mgmt.machinelearningservices.models.ScaleSettingsInformation
         """
         super(ClusterUpdateParameters, self).__init__(**kwargs)
-        self.properties = kwargs.get('properties', None)
+        self.properties = kwargs.get("properties", None)
 
 
 class ExportSummary(msrest.serialization.Model):
@@ -6628,31 +6281,27 @@ class ExportSummary(msrest.serialization.Model):
     """
 
     _validation = {
-        'end_date_time': {'readonly': True},
-        'exported_row_count': {'readonly': True},
-        'format': {'required': True},
-        'labeling_job_id': {'readonly': True},
-        'start_date_time': {'readonly': True},
+        "end_date_time": {"readonly": True},
+        "exported_row_count": {"readonly": True},
+        "format": {"required": True},
+        "labeling_job_id": {"readonly": True},
+        "start_date_time": {"readonly": True},
     }
 
     _attribute_map = {
-        'end_date_time': {'key': 'endDateTime', 'type': 'iso-8601'},
-        'exported_row_count': {'key': 'exportedRowCount', 'type': 'long'},
-        'format': {'key': 'format', 'type': 'str'},
-        'labeling_job_id': {'key': 'labelingJobId', 'type': 'str'},
-        'start_date_time': {'key': 'startDateTime', 'type': 'iso-8601'},
+        "end_date_time": {"key": "endDateTime", "type": "iso-8601"},
+        "exported_row_count": {"key": "exportedRowCount", "type": "long"},
+        "format": {"key": "format", "type": "str"},
+        "labeling_job_id": {"key": "labelingJobId", "type": "str"},
+        "start_date_time": {"key": "startDateTime", "type": "iso-8601"},
     }
 
     _subtype_map = {
-        'format': {'CSV': 'CsvExportSummary', 'Coco': 'CocoExportSummary', 'Dataset': 'DatasetExportSummary'}
+        "format": {"CSV": "CsvExportSummary", "Coco": "CocoExportSummary", "Dataset": "DatasetExportSummary"}
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
-        """
-        """
+    def __init__(self, **kwargs):
+        """ """
         super(ExportSummary, self).__init__(**kwargs)
         self.end_date_time = None
         self.exported_row_count = None
@@ -6686,33 +6335,29 @@ class CocoExportSummary(ExportSummary):
     """
 
     _validation = {
-        'end_date_time': {'readonly': True},
-        'exported_row_count': {'readonly': True},
-        'format': {'required': True},
-        'labeling_job_id': {'readonly': True},
-        'start_date_time': {'readonly': True},
-        'container_name': {'readonly': True},
-        'snapshot_path': {'readonly': True},
+        "end_date_time": {"readonly": True},
+        "exported_row_count": {"readonly": True},
+        "format": {"required": True},
+        "labeling_job_id": {"readonly": True},
+        "start_date_time": {"readonly": True},
+        "container_name": {"readonly": True},
+        "snapshot_path": {"readonly": True},
     }
 
     _attribute_map = {
-        'end_date_time': {'key': 'endDateTime', 'type': 'iso-8601'},
-        'exported_row_count': {'key': 'exportedRowCount', 'type': 'long'},
-        'format': {'key': 'format', 'type': 'str'},
-        'labeling_job_id': {'key': 'labelingJobId', 'type': 'str'},
-        'start_date_time': {'key': 'startDateTime', 'type': 'iso-8601'},
-        'container_name': {'key': 'containerName', 'type': 'str'},
-        'snapshot_path': {'key': 'snapshotPath', 'type': 'str'},
+        "end_date_time": {"key": "endDateTime", "type": "iso-8601"},
+        "exported_row_count": {"key": "exportedRowCount", "type": "long"},
+        "format": {"key": "format", "type": "str"},
+        "labeling_job_id": {"key": "labelingJobId", "type": "str"},
+        "start_date_time": {"key": "startDateTime", "type": "iso-8601"},
+        "container_name": {"key": "containerName", "type": "str"},
+        "snapshot_path": {"key": "snapshotPath", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
-        """
-        """
+    def __init__(self, **kwargs):
+        """ """
         super(CocoExportSummary, self).__init__(**kwargs)
-        self.format = 'Coco'  # type: str
+        self.format = "Coco"  # type: str
         self.container_name = None
         self.snapshot_path = None
 
@@ -6729,18 +6374,15 @@ class CodeConfiguration(msrest.serialization.Model):
     """
 
     _validation = {
-        'scoring_script': {'required': True, 'min_length': 1, 'pattern': r'[a-zA-Z0-9_]'},
+        "scoring_script": {"required": True, "min_length": 1, "pattern": r"[a-zA-Z0-9_]"},
     }
 
     _attribute_map = {
-        'code_id': {'key': 'codeId', 'type': 'str'},
-        'scoring_script': {'key': 'scoringScript', 'type': 'str'},
+        "code_id": {"key": "codeId", "type": "str"},
+        "scoring_script": {"key": "scoringScript", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword code_id: ARM resource ID of the code asset.
         :paramtype code_id: str
@@ -6748,8 +6390,8 @@ def __init__(
         :paramtype scoring_script: str
         """
         super(CodeConfiguration, self).__init__(**kwargs)
-        self.code_id = kwargs.get('code_id', None)
-        self.scoring_script = kwargs['scoring_script']
+        self.code_id = kwargs.get("code_id", None)
+        self.scoring_script = kwargs["scoring_script"]
 
 
 class ProxyResource(Resource):
@@ -6771,25 +6413,21 @@ class ProxyResource(Resource):
     """
 
     _validation = {
-        'id': {'readonly': True},
-        'name': {'readonly': True},
-        'type': {'readonly': True},
-        'system_data': {'readonly': True},
+        "id": {"readonly": True},
+        "name": {"readonly": True},
+        "type": {"readonly": True},
+        "system_data": {"readonly": True},
     }
 
     _attribute_map = {
-        'id': {'key': 'id', 'type': 'str'},
-        'name': {'key': 'name', 'type': 'str'},
-        'type': {'key': 'type', 'type': 'str'},
-        'system_data': {'key': 'systemData', 'type': 'SystemData'},
+        "id": {"key": "id", "type": "str"},
+        "name": {"key": "name", "type": "str"},
+        "type": {"key": "type", "type": "str"},
+        "system_data": {"key": "systemData", "type": "SystemData"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
-        """
-        """
+    def __init__(self, **kwargs):
+        """ """
         super(ProxyResource, self).__init__(**kwargs)
 
 
@@ -6816,31 +6454,28 @@ class CodeContainer(ProxyResource):
     """
 
     _validation = {
-        'id': {'readonly': True},
-        'name': {'readonly': True},
-        'type': {'readonly': True},
-        'system_data': {'readonly': True},
-        'properties': {'required': True},
+        "id": {"readonly": True},
+        "name": {"readonly": True},
+        "type": {"readonly": True},
+        "system_data": {"readonly": True},
+        "properties": {"required": True},
     }
 
     _attribute_map = {
-        'id': {'key': 'id', 'type': 'str'},
-        'name': {'key': 'name', 'type': 'str'},
-        'type': {'key': 'type', 'type': 'str'},
-        'system_data': {'key': 'systemData', 'type': 'SystemData'},
-        'properties': {'key': 'properties', 'type': 'CodeContainerProperties'},
+        "id": {"key": "id", "type": "str"},
+        "name": {"key": "name", "type": "str"},
+        "type": {"key": "type", "type": "str"},
+        "system_data": {"key": "systemData", "type": "SystemData"},
+        "properties": {"key": "properties", "type": "CodeContainerProperties"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword properties: Required. [Required] Additional attributes of the entity.
         :paramtype properties: ~azure.mgmt.machinelearningservices.models.CodeContainerProperties
         """
         super(CodeContainer, self).__init__(**kwargs)
-        self.properties = kwargs['properties']
+        self.properties = kwargs["properties"]
 
 
 class CodeContainerProperties(AssetContainer):
@@ -6867,25 +6502,22 @@ class CodeContainerProperties(AssetContainer):
     """
 
     _validation = {
-        'latest_version': {'readonly': True},
-        'next_version': {'readonly': True},
-        'provisioning_state': {'readonly': True},
+        "latest_version": {"readonly": True},
+        "next_version": {"readonly": True},
+        "provisioning_state": {"readonly": True},
     }
 
     _attribute_map = {
-        'description': {'key': 'description', 'type': 'str'},
-        'properties': {'key': 'properties', 'type': '{str}'},
-        'tags': {'key': 'tags', 'type': '{str}'},
-        'is_archived': {'key': 'isArchived', 'type': 'bool'},
-        'latest_version': {'key': 'latestVersion', 'type': 'str'},
-        'next_version': {'key': 'nextVersion', 'type': 'str'},
-        'provisioning_state': {'key': 'provisioningState', 'type': 'str'},
+        "description": {"key": "description", "type": "str"},
+        "properties": {"key": "properties", "type": "{str}"},
+        "tags": {"key": "tags", "type": "{str}"},
+        "is_archived": {"key": "isArchived", "type": "bool"},
+        "latest_version": {"key": "latestVersion", "type": "str"},
+        "next_version": {"key": "nextVersion", "type": "str"},
+        "provisioning_state": {"key": "provisioningState", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword description: The asset description text.
         :paramtype description: str
@@ -6911,14 +6543,11 @@ class CodeContainerResourceArmPaginatedResult(msrest.serialization.Model):
     """
 
     _attribute_map = {
-        'next_link': {'key': 'nextLink', 'type': 'str'},
-        'value': {'key': 'value', 'type': '[CodeContainer]'},
+        "next_link": {"key": "nextLink", "type": "str"},
+        "value": {"key": "value", "type": "[CodeContainer]"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword next_link: The link to the next page of CodeContainer objects. If null, there are no
          additional pages.
@@ -6927,8 +6556,8 @@ def __init__(
         :paramtype value: list[~azure.mgmt.machinelearningservices.models.CodeContainer]
         """
         super(CodeContainerResourceArmPaginatedResult, self).__init__(**kwargs)
-        self.next_link = kwargs.get('next_link', None)
-        self.value = kwargs.get('value', None)
+        self.next_link = kwargs.get("next_link", None)
+        self.value = kwargs.get("value", None)
 
 
 class CodeVersion(ProxyResource):
@@ -6954,31 +6583,28 @@ class CodeVersion(ProxyResource):
     """
 
     _validation = {
-        'id': {'readonly': True},
-        'name': {'readonly': True},
-        'type': {'readonly': True},
-        'system_data': {'readonly': True},
-        'properties': {'required': True},
+        "id": {"readonly": True},
+        "name": {"readonly": True},
+        "type": {"readonly": True},
+        "system_data": {"readonly": True},
+        "properties": {"required": True},
     }
 
     _attribute_map = {
-        'id': {'key': 'id', 'type': 'str'},
-        'name': {'key': 'name', 'type': 'str'},
-        'type': {'key': 'type', 'type': 'str'},
-        'system_data': {'key': 'systemData', 'type': 'SystemData'},
-        'properties': {'key': 'properties', 'type': 'CodeVersionProperties'},
+        "id": {"key": "id", "type": "str"},
+        "name": {"key": "name", "type": "str"},
+        "type": {"key": "type", "type": "str"},
+        "system_data": {"key": "systemData", "type": "SystemData"},
+        "properties": {"key": "properties", "type": "CodeVersionProperties"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword properties: Required. [Required] Additional attributes of the entity.
         :paramtype properties: ~azure.mgmt.machinelearningservices.models.CodeVersionProperties
         """
         super(CodeVersion, self).__init__(**kwargs)
-        self.properties = kwargs['properties']
+        self.properties = kwargs["properties"]
 
 
 class CodeVersionProperties(AssetBase):
@@ -7009,24 +6635,21 @@ class CodeVersionProperties(AssetBase):
     """
 
     _validation = {
-        'provisioning_state': {'readonly': True},
+        "provisioning_state": {"readonly": True},
     }
 
     _attribute_map = {
-        'description': {'key': 'description', 'type': 'str'},
-        'properties': {'key': 'properties', 'type': '{str}'},
-        'tags': {'key': 'tags', 'type': '{str}'},
-        'auto_delete_setting': {'key': 'autoDeleteSetting', 'type': 'AutoDeleteSetting'},
-        'is_anonymous': {'key': 'isAnonymous', 'type': 'bool'},
-        'is_archived': {'key': 'isArchived', 'type': 'bool'},
-        'code_uri': {'key': 'codeUri', 'type': 'str'},
-        'provisioning_state': {'key': 'provisioningState', 'type': 'str'},
+        "description": {"key": "description", "type": "str"},
+        "properties": {"key": "properties", "type": "{str}"},
+        "tags": {"key": "tags", "type": "{str}"},
+        "auto_delete_setting": {"key": "autoDeleteSetting", "type": "AutoDeleteSetting"},
+        "is_anonymous": {"key": "isAnonymous", "type": "bool"},
+        "is_archived": {"key": "isArchived", "type": "bool"},
+        "code_uri": {"key": "codeUri", "type": "str"},
+        "provisioning_state": {"key": "provisioningState", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword description: The asset description text.
         :paramtype description: str
@@ -7046,7 +6669,7 @@ def __init__(
         :paramtype code_uri: str
         """
         super(CodeVersionProperties, self).__init__(**kwargs)
-        self.code_uri = kwargs.get('code_uri', None)
+        self.code_uri = kwargs.get("code_uri", None)
         self.provisioning_state = None
 
 
@@ -7061,14 +6684,11 @@ class CodeVersionResourceArmPaginatedResult(msrest.serialization.Model):
     """
 
     _attribute_map = {
-        'next_link': {'key': 'nextLink', 'type': 'str'},
-        'value': {'key': 'value', 'type': '[CodeVersion]'},
+        "next_link": {"key": "nextLink", "type": "str"},
+        "value": {"key": "value", "type": "[CodeVersion]"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword next_link: The link to the next page of CodeVersion objects. If null, there are no
          additional pages.
@@ -7077,8 +6697,8 @@ def __init__(
         :paramtype value: list[~azure.mgmt.machinelearningservices.models.CodeVersion]
         """
         super(CodeVersionResourceArmPaginatedResult, self).__init__(**kwargs)
-        self.next_link = kwargs.get('next_link', None)
-        self.value = kwargs.get('value', None)
+        self.next_link = kwargs.get("next_link", None)
+        self.value = kwargs.get("value", None)
 
 
 class CognitiveServiceEndpointDeploymentResourceProperties(msrest.serialization.Model):
@@ -7099,20 +6719,17 @@ class CognitiveServiceEndpointDeploymentResourceProperties(msrest.serialization.
     """
 
     _validation = {
-        'model': {'required': True},
+        "model": {"required": True},
     }
 
     _attribute_map = {
-        'model': {'key': 'model', 'type': 'EndpointDeploymentModel'},
-        'rai_policy_name': {'key': 'raiPolicyName', 'type': 'str'},
-        'sku': {'key': 'sku', 'type': 'CognitiveServicesSku'},
-        'version_upgrade_option': {'key': 'versionUpgradeOption', 'type': 'str'},
+        "model": {"key": "model", "type": "EndpointDeploymentModel"},
+        "rai_policy_name": {"key": "raiPolicyName", "type": "str"},
+        "sku": {"key": "sku", "type": "CognitiveServicesSku"},
+        "version_upgrade_option": {"key": "versionUpgradeOption", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword model: Required. Model used for the endpoint deployment.
         :paramtype model: ~azure.mgmt.machinelearningservices.models.EndpointDeploymentModel
@@ -7126,10 +6743,10 @@ def __init__(
          ~azure.mgmt.machinelearningservices.models.DeploymentModelVersionUpgradeOption
         """
         super(CognitiveServiceEndpointDeploymentResourceProperties, self).__init__(**kwargs)
-        self.model = kwargs['model']
-        self.rai_policy_name = kwargs.get('rai_policy_name', None)
-        self.sku = kwargs.get('sku', None)
-        self.version_upgrade_option = kwargs.get('version_upgrade_option', None)
+        self.model = kwargs["model"]
+        self.rai_policy_name = kwargs.get("rai_policy_name", None)
+        self.sku = kwargs.get("sku", None)
+        self.version_upgrade_option = kwargs.get("version_upgrade_option", None)
 
 
 class CognitiveServicesSku(msrest.serialization.Model):
@@ -7148,17 +6765,14 @@ class CognitiveServicesSku(msrest.serialization.Model):
     """
 
     _attribute_map = {
-        'capacity': {'key': 'capacity', 'type': 'int'},
-        'family': {'key': 'family', 'type': 'str'},
-        'name': {'key': 'name', 'type': 'str'},
-        'size': {'key': 'size', 'type': 'str'},
-        'tier': {'key': 'tier', 'type': 'str'},
+        "capacity": {"key": "capacity", "type": "int"},
+        "family": {"key": "family", "type": "str"},
+        "name": {"key": "name", "type": "str"},
+        "size": {"key": "size", "type": "str"},
+        "tier": {"key": "tier", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword capacity:
         :paramtype capacity: int
@@ -7172,11 +6786,11 @@ def __init__(
         :paramtype tier: str
         """
         super(CognitiveServicesSku, self).__init__(**kwargs)
-        self.capacity = kwargs.get('capacity', None)
-        self.family = kwargs.get('family', None)
-        self.name = kwargs.get('name', None)
-        self.size = kwargs.get('size', None)
-        self.tier = kwargs.get('tier', None)
+        self.capacity = kwargs.get("capacity", None)
+        self.family = kwargs.get("family", None)
+        self.name = kwargs.get("name", None)
+        self.size = kwargs.get("size", None)
+        self.tier = kwargs.get("tier", None)
 
 
 class Collection(msrest.serialization.Model):
@@ -7198,16 +6812,13 @@ class Collection(msrest.serialization.Model):
     """
 
     _attribute_map = {
-        'client_id': {'key': 'clientId', 'type': 'str'},
-        'data_collection_mode': {'key': 'dataCollectionMode', 'type': 'str'},
-        'data_id': {'key': 'dataId', 'type': 'str'},
-        'sampling_rate': {'key': 'samplingRate', 'type': 'float'},
+        "client_id": {"key": "clientId", "type": "str"},
+        "data_collection_mode": {"key": "dataCollectionMode", "type": "str"},
+        "data_id": {"key": "dataId", "type": "str"},
+        "sampling_rate": {"key": "samplingRate", "type": "float"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword client_id: The msi client id used to collect logging to blob storage. If it's
          null,backend will pick a registered endpoint identity to auth.
@@ -7224,10 +6835,10 @@ def __init__(
         :paramtype sampling_rate: float
         """
         super(Collection, self).__init__(**kwargs)
-        self.client_id = kwargs.get('client_id', None)
-        self.data_collection_mode = kwargs.get('data_collection_mode', None)
-        self.data_id = kwargs.get('data_id', None)
-        self.sampling_rate = kwargs.get('sampling_rate', 1)
+        self.client_id = kwargs.get("client_id", None)
+        self.data_collection_mode = kwargs.get("data_collection_mode", None)
+        self.data_id = kwargs.get("data_id", None)
+        self.sampling_rate = kwargs.get("sampling_rate", 1)
 
 
 class ColumnTransformer(msrest.serialization.Model):
@@ -7241,14 +6852,11 @@ class ColumnTransformer(msrest.serialization.Model):
     """
 
     _attribute_map = {
-        'fields': {'key': 'fields', 'type': '[str]'},
-        'parameters': {'key': 'parameters', 'type': 'object'},
+        "fields": {"key": "fields", "type": "[str]"},
+        "parameters": {"key": "parameters", "type": "object"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword fields: Fields to apply transformer logic on.
         :paramtype fields: list[str]
@@ -7257,8 +6865,8 @@ def __init__(
         :paramtype parameters: any
         """
         super(ColumnTransformer, self).__init__(**kwargs)
-        self.fields = kwargs.get('fields', None)
-        self.parameters = kwargs.get('parameters', None)
+        self.fields = kwargs.get("fields", None)
+        self.parameters = kwargs.get("parameters", None)
 
 
 class CommandJob(JobBaseProperties):
@@ -7336,46 +6944,43 @@ class CommandJob(JobBaseProperties):
     """
 
     _validation = {
-        'job_type': {'required': True},
-        'status': {'readonly': True},
-        'command': {'required': True, 'min_length': 1, 'pattern': r'[a-zA-Z0-9_]'},
-        'environment_id': {'required': True, 'min_length': 1, 'pattern': r'[a-zA-Z0-9_]'},
-        'parameters': {'readonly': True},
-    }
-
-    _attribute_map = {
-        'description': {'key': 'description', 'type': 'str'},
-        'properties': {'key': 'properties', 'type': '{str}'},
-        'tags': {'key': 'tags', 'type': '{str}'},
-        'component_id': {'key': 'componentId', 'type': 'str'},
-        'compute_id': {'key': 'computeId', 'type': 'str'},
-        'display_name': {'key': 'displayName', 'type': 'str'},
-        'experiment_name': {'key': 'experimentName', 'type': 'str'},
-        'identity': {'key': 'identity', 'type': 'IdentityConfiguration'},
-        'is_archived': {'key': 'isArchived', 'type': 'bool'},
-        'job_type': {'key': 'jobType', 'type': 'str'},
-        'notification_setting': {'key': 'notificationSetting', 'type': 'NotificationSetting'},
-        'secrets_configuration': {'key': 'secretsConfiguration', 'type': '{SecretConfiguration}'},
-        'services': {'key': 'services', 'type': '{JobService}'},
-        'status': {'key': 'status', 'type': 'str'},
-        'autologger_settings': {'key': 'autologgerSettings', 'type': 'AutologgerSettings'},
-        'code_id': {'key': 'codeId', 'type': 'str'},
-        'command': {'key': 'command', 'type': 'str'},
-        'distribution': {'key': 'distribution', 'type': 'DistributionConfiguration'},
-        'environment_id': {'key': 'environmentId', 'type': 'str'},
-        'environment_variables': {'key': 'environmentVariables', 'type': '{str}'},
-        'inputs': {'key': 'inputs', 'type': '{JobInput}'},
-        'limits': {'key': 'limits', 'type': 'CommandJobLimits'},
-        'outputs': {'key': 'outputs', 'type': '{JobOutput}'},
-        'parameters': {'key': 'parameters', 'type': 'object'},
-        'queue_settings': {'key': 'queueSettings', 'type': 'QueueSettings'},
-        'resources': {'key': 'resources', 'type': 'JobResourceConfiguration'},
-    }
-
-    def __init__(
-            self,
-            **kwargs
-    ):
+        "job_type": {"required": True},
+        "status": {"readonly": True},
+        "command": {"required": True, "min_length": 1, "pattern": r"[a-zA-Z0-9_]"},
+        "environment_id": {"required": True, "min_length": 1, "pattern": r"[a-zA-Z0-9_]"},
+        "parameters": {"readonly": True},
+    }
+
+    _attribute_map = {
+        "description": {"key": "description", "type": "str"},
+        "properties": {"key": "properties", "type": "{str}"},
+        "tags": {"key": "tags", "type": "{str}"},
+        "component_id": {"key": "componentId", "type": "str"},
+        "compute_id": {"key": "computeId", "type": "str"},
+        "display_name": {"key": "displayName", "type": "str"},
+        "experiment_name": {"key": "experimentName", "type": "str"},
+        "identity": {"key": "identity", "type": "IdentityConfiguration"},
+        "is_archived": {"key": "isArchived", "type": "bool"},
+        "job_type": {"key": "jobType", "type": "str"},
+        "notification_setting": {"key": "notificationSetting", "type": "NotificationSetting"},
+        "secrets_configuration": {"key": "secretsConfiguration", "type": "{SecretConfiguration}"},
+        "services": {"key": "services", "type": "{JobService}"},
+        "status": {"key": "status", "type": "str"},
+        "autologger_settings": {"key": "autologgerSettings", "type": "AutologgerSettings"},
+        "code_id": {"key": "codeId", "type": "str"},
+        "command": {"key": "command", "type": "str"},
+        "distribution": {"key": "distribution", "type": "DistributionConfiguration"},
+        "environment_id": {"key": "environmentId", "type": "str"},
+        "environment_variables": {"key": "environmentVariables", "type": "{str}"},
+        "inputs": {"key": "inputs", "type": "{JobInput}"},
+        "limits": {"key": "limits", "type": "CommandJobLimits"},
+        "outputs": {"key": "outputs", "type": "{JobOutput}"},
+        "parameters": {"key": "parameters", "type": "object"},
+        "queue_settings": {"key": "queueSettings", "type": "QueueSettings"},
+        "resources": {"key": "resources", "type": "JobResourceConfiguration"},
+    }
+
+    def __init__(self, **kwargs):
         """
         :keyword description: The asset description text.
         :paramtype description: str
@@ -7434,19 +7039,19 @@ def __init__(
         :paramtype resources: ~azure.mgmt.machinelearningservices.models.JobResourceConfiguration
         """
         super(CommandJob, self).__init__(**kwargs)
-        self.job_type = 'Command'  # type: str
-        self.autologger_settings = kwargs.get('autologger_settings', None)
-        self.code_id = kwargs.get('code_id', None)
-        self.command = kwargs['command']
-        self.distribution = kwargs.get('distribution', None)
-        self.environment_id = kwargs['environment_id']
-        self.environment_variables = kwargs.get('environment_variables', None)
-        self.inputs = kwargs.get('inputs', None)
-        self.limits = kwargs.get('limits', None)
-        self.outputs = kwargs.get('outputs', None)
+        self.job_type = "Command"  # type: str
+        self.autologger_settings = kwargs.get("autologger_settings", None)
+        self.code_id = kwargs.get("code_id", None)
+        self.command = kwargs["command"]
+        self.distribution = kwargs.get("distribution", None)
+        self.environment_id = kwargs["environment_id"]
+        self.environment_variables = kwargs.get("environment_variables", None)
+        self.inputs = kwargs.get("inputs", None)
+        self.limits = kwargs.get("limits", None)
+        self.outputs = kwargs.get("outputs", None)
         self.parameters = None
-        self.queue_settings = kwargs.get('queue_settings', None)
-        self.resources = kwargs.get('resources', None)
+        self.queue_settings = kwargs.get("queue_settings", None)
+        self.resources = kwargs.get("resources", None)
 
 
 class JobLimits(msrest.serialization.Model):
@@ -7466,22 +7071,17 @@ class JobLimits(msrest.serialization.Model):
     """
 
     _validation = {
-        'job_limits_type': {'required': True},
+        "job_limits_type": {"required": True},
     }
 
     _attribute_map = {
-        'job_limits_type': {'key': 'jobLimitsType', 'type': 'str'},
-        'timeout': {'key': 'timeout', 'type': 'duration'},
+        "job_limits_type": {"key": "jobLimitsType", "type": "str"},
+        "timeout": {"key": "timeout", "type": "duration"},
     }
 
-    _subtype_map = {
-        'job_limits_type': {'Command': 'CommandJobLimits', 'Sweep': 'SweepJobLimits'}
-    }
+    _subtype_map = {"job_limits_type": {"Command": "CommandJobLimits", "Sweep": "SweepJobLimits"}}
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword timeout: The max run duration in ISO 8601 format, after which the job will be
          cancelled. Only supports duration with precision as low as Seconds.
@@ -7489,7 +7089,7 @@ def __init__(
         """
         super(JobLimits, self).__init__(**kwargs)
         self.job_limits_type = None  # type: Optional[str]
-        self.timeout = kwargs.get('timeout', None)
+        self.timeout = kwargs.get("timeout", None)
 
 
 class CommandJobLimits(JobLimits):
@@ -7506,25 +7106,22 @@ class CommandJobLimits(JobLimits):
     """
 
     _validation = {
-        'job_limits_type': {'required': True},
+        "job_limits_type": {"required": True},
     }
 
     _attribute_map = {
-        'job_limits_type': {'key': 'jobLimitsType', 'type': 'str'},
-        'timeout': {'key': 'timeout', 'type': 'duration'},
+        "job_limits_type": {"key": "jobLimitsType", "type": "str"},
+        "timeout": {"key": "timeout", "type": "duration"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword timeout: The max run duration in ISO 8601 format, after which the job will be
          cancelled. Only supports duration with precision as low as Seconds.
         :paramtype timeout: ~datetime.timedelta
         """
         super(CommandJobLimits, self).__init__(**kwargs)
-        self.job_limits_type = 'Command'  # type: str
+        self.job_limits_type = "Command"  # type: str
 
 
 class ComponentConfiguration(msrest.serialization.Model):
@@ -7535,19 +7132,16 @@ class ComponentConfiguration(msrest.serialization.Model):
     """
 
     _attribute_map = {
-        'pipeline_settings': {'key': 'pipelineSettings', 'type': 'object'},
+        "pipeline_settings": {"key": "pipelineSettings", "type": "object"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword pipeline_settings: Pipeline settings, for things like ContinueRunOnStepFailure etc.
         :paramtype pipeline_settings: any
         """
         super(ComponentConfiguration, self).__init__(**kwargs)
-        self.pipeline_settings = kwargs.get('pipeline_settings', None)
+        self.pipeline_settings = kwargs.get("pipeline_settings", None)
 
 
 class ComponentContainer(ProxyResource):
@@ -7573,81 +7167,75 @@ class ComponentContainer(ProxyResource):
     """
 
     _validation = {
-        'id': {'readonly': True},
-        'name': {'readonly': True},
-        'type': {'readonly': True},
-        'system_data': {'readonly': True},
-        'properties': {'required': True},
+        "id": {"readonly": True},
+        "name": {"readonly": True},
+        "type": {"readonly": True},
+        "system_data": {"readonly": True},
+        "properties": {"required": True},
     }
 
     _attribute_map = {
-        'id': {'key': 'id', 'type': 'str'},
-        'name': {'key': 'name', 'type': 'str'},
-        'type': {'key': 'type', 'type': 'str'},
-        'system_data': {'key': 'systemData', 'type': 'SystemData'},
-        'properties': {'key': 'properties', 'type': 'ComponentContainerProperties'},
+        "id": {"key": "id", "type": "str"},
+        "name": {"key": "name", "type": "str"},
+        "type": {"key": "type", "type": "str"},
+        "system_data": {"key": "systemData", "type": "SystemData"},
+        "properties": {"key": "properties", "type": "ComponentContainerProperties"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword properties: Required. [Required] Additional attributes of the entity.
         :paramtype properties: ~azure.mgmt.machinelearningservices.models.ComponentContainerProperties
         """
         super(ComponentContainer, self).__init__(**kwargs)
-        self.properties = kwargs['properties']
+        self.properties = kwargs["properties"]
 
 
 class ComponentContainerProperties(AssetContainer):
     """Component container definition.
 
 
-.. raw:: html
+    .. raw:: html
 
-   <see href="https://docs.microsoft.com/en-us/azure/machine-learning/reference-yaml-component-command" />.
+       <see href="https://docs.microsoft.com/en-us/azure/machine-learning/reference-yaml-component-command" />.
 
-    Variables are only populated by the server, and will be ignored when sending a request.
+        Variables are only populated by the server, and will be ignored when sending a request.
 
-    :ivar description: The asset description text.
-    :vartype description: str
-    :ivar properties: The asset property dictionary.
-    :vartype properties: dict[str, str]
-    :ivar tags: A set of tags. Tag dictionary. Tags can be added, removed, and updated.
-    :vartype tags: dict[str, str]
-    :ivar is_archived: Is the asset archived?.
-    :vartype is_archived: bool
-    :ivar latest_version: The latest version inside this container.
-    :vartype latest_version: str
-    :ivar next_version: The next auto incremental version.
-    :vartype next_version: str
-    :ivar provisioning_state: Provisioning state for the component container. Possible values
-     include: "Succeeded", "Failed", "Canceled", "Creating", "Updating", "Deleting".
-    :vartype provisioning_state: str or
-     ~azure.mgmt.machinelearningservices.models.AssetProvisioningState
+        :ivar description: The asset description text.
+        :vartype description: str
+        :ivar properties: The asset property dictionary.
+        :vartype properties: dict[str, str]
+        :ivar tags: A set of tags. Tag dictionary. Tags can be added, removed, and updated.
+        :vartype tags: dict[str, str]
+        :ivar is_archived: Is the asset archived?.
+        :vartype is_archived: bool
+        :ivar latest_version: The latest version inside this container.
+        :vartype latest_version: str
+        :ivar next_version: The next auto incremental version.
+        :vartype next_version: str
+        :ivar provisioning_state: Provisioning state for the component container. Possible values
+         include: "Succeeded", "Failed", "Canceled", "Creating", "Updating", "Deleting".
+        :vartype provisioning_state: str or
+         ~azure.mgmt.machinelearningservices.models.AssetProvisioningState
     """
 
     _validation = {
-        'latest_version': {'readonly': True},
-        'next_version': {'readonly': True},
-        'provisioning_state': {'readonly': True},
+        "latest_version": {"readonly": True},
+        "next_version": {"readonly": True},
+        "provisioning_state": {"readonly": True},
     }
 
     _attribute_map = {
-        'description': {'key': 'description', 'type': 'str'},
-        'properties': {'key': 'properties', 'type': '{str}'},
-        'tags': {'key': 'tags', 'type': '{str}'},
-        'is_archived': {'key': 'isArchived', 'type': 'bool'},
-        'latest_version': {'key': 'latestVersion', 'type': 'str'},
-        'next_version': {'key': 'nextVersion', 'type': 'str'},
-        'provisioning_state': {'key': 'provisioningState', 'type': 'str'},
+        "description": {"key": "description", "type": "str"},
+        "properties": {"key": "properties", "type": "{str}"},
+        "tags": {"key": "tags", "type": "{str}"},
+        "is_archived": {"key": "isArchived", "type": "bool"},
+        "latest_version": {"key": "latestVersion", "type": "str"},
+        "next_version": {"key": "nextVersion", "type": "str"},
+        "provisioning_state": {"key": "provisioningState", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword description: The asset description text.
         :paramtype description: str
@@ -7673,14 +7261,11 @@ class ComponentContainerResourceArmPaginatedResult(msrest.serialization.Model):
     """
 
     _attribute_map = {
-        'next_link': {'key': 'nextLink', 'type': 'str'},
-        'value': {'key': 'value', 'type': '[ComponentContainer]'},
+        "next_link": {"key": "nextLink", "type": "str"},
+        "value": {"key": "value", "type": "[ComponentContainer]"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword next_link: The link to the next page of ComponentContainer objects. If null, there are
          no additional pages.
@@ -7689,8 +7274,8 @@ def __init__(
         :paramtype value: list[~azure.mgmt.machinelearningservices.models.ComponentContainer]
         """
         super(ComponentContainerResourceArmPaginatedResult, self).__init__(**kwargs)
-        self.next_link = kwargs.get('next_link', None)
-        self.value = kwargs.get('value', None)
+        self.next_link = kwargs.get("next_link", None)
+        self.value = kwargs.get("value", None)
 
 
 class ComponentVersion(ProxyResource):
@@ -7716,31 +7301,28 @@ class ComponentVersion(ProxyResource):
     """
 
     _validation = {
-        'id': {'readonly': True},
-        'name': {'readonly': True},
-        'type': {'readonly': True},
-        'system_data': {'readonly': True},
-        'properties': {'required': True},
+        "id": {"readonly": True},
+        "name": {"readonly": True},
+        "type": {"readonly": True},
+        "system_data": {"readonly": True},
+        "properties": {"required": True},
     }
 
     _attribute_map = {
-        'id': {'key': 'id', 'type': 'str'},
-        'name': {'key': 'name', 'type': 'str'},
-        'type': {'key': 'type', 'type': 'str'},
-        'system_data': {'key': 'systemData', 'type': 'SystemData'},
-        'properties': {'key': 'properties', 'type': 'ComponentVersionProperties'},
+        "id": {"key": "id", "type": "str"},
+        "name": {"key": "name", "type": "str"},
+        "type": {"key": "type", "type": "str"},
+        "system_data": {"key": "systemData", "type": "SystemData"},
+        "properties": {"key": "properties", "type": "ComponentVersionProperties"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword properties: Required. [Required] Additional attributes of the entity.
         :paramtype properties: ~azure.mgmt.machinelearningservices.models.ComponentVersionProperties
         """
         super(ComponentVersion, self).__init__(**kwargs)
-        self.properties = kwargs['properties']
+        self.properties = kwargs["properties"]
 
 
 class ComponentVersionProperties(AssetBase):
@@ -7780,25 +7362,22 @@ class ComponentVersionProperties(AssetBase):
     """
 
     _validation = {
-        'provisioning_state': {'readonly': True},
+        "provisioning_state": {"readonly": True},
     }
 
     _attribute_map = {
-        'description': {'key': 'description', 'type': 'str'},
-        'properties': {'key': 'properties', 'type': '{str}'},
-        'tags': {'key': 'tags', 'type': '{str}'},
-        'auto_delete_setting': {'key': 'autoDeleteSetting', 'type': 'AutoDeleteSetting'},
-        'is_anonymous': {'key': 'isAnonymous', 'type': 'bool'},
-        'is_archived': {'key': 'isArchived', 'type': 'bool'},
-        'component_spec': {'key': 'componentSpec', 'type': 'object'},
-        'provisioning_state': {'key': 'provisioningState', 'type': 'str'},
-        'stage': {'key': 'stage', 'type': 'str'},
+        "description": {"key": "description", "type": "str"},
+        "properties": {"key": "properties", "type": "{str}"},
+        "tags": {"key": "tags", "type": "{str}"},
+        "auto_delete_setting": {"key": "autoDeleteSetting", "type": "AutoDeleteSetting"},
+        "is_anonymous": {"key": "isAnonymous", "type": "bool"},
+        "is_archived": {"key": "isArchived", "type": "bool"},
+        "component_spec": {"key": "componentSpec", "type": "object"},
+        "provisioning_state": {"key": "provisioningState", "type": "str"},
+        "stage": {"key": "stage", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword description: The asset description text.
         :paramtype description: str
@@ -7827,9 +7406,9 @@ def __init__(
         :paramtype stage: str
         """
         super(ComponentVersionProperties, self).__init__(**kwargs)
-        self.component_spec = kwargs.get('component_spec', None)
+        self.component_spec = kwargs.get("component_spec", None)
         self.provisioning_state = None
-        self.stage = kwargs.get('stage', None)
+        self.stage = kwargs.get("stage", None)
 
 
 class ComponentVersionResourceArmPaginatedResult(msrest.serialization.Model):
@@ -7843,14 +7422,11 @@ class ComponentVersionResourceArmPaginatedResult(msrest.serialization.Model):
     """
 
     _attribute_map = {
-        'next_link': {'key': 'nextLink', 'type': 'str'},
-        'value': {'key': 'value', 'type': '[ComponentVersion]'},
+        "next_link": {"key": "nextLink", "type": "str"},
+        "value": {"key": "value", "type": "[ComponentVersion]"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword next_link: The link to the next page of ComponentVersion objects. If null, there are
          no additional pages.
@@ -7859,8 +7435,8 @@ def __init__(
         :paramtype value: list[~azure.mgmt.machinelearningservices.models.ComponentVersion]
         """
         super(ComponentVersionResourceArmPaginatedResult, self).__init__(**kwargs)
-        self.next_link = kwargs.get('next_link', None)
-        self.value = kwargs.get('value', None)
+        self.next_link = kwargs.get("next_link", None)
+        self.value = kwargs.get("value", None)
 
 
 class ComputeInstanceSchema(msrest.serialization.Model):
@@ -7871,19 +7447,16 @@ class ComputeInstanceSchema(msrest.serialization.Model):
     """
 
     _attribute_map = {
-        'properties': {'key': 'properties', 'type': 'ComputeInstanceProperties'},
+        "properties": {"key": "properties", "type": "ComputeInstanceProperties"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword properties: Properties of ComputeInstance.
         :paramtype properties: ~azure.mgmt.machinelearningservices.models.ComputeInstanceProperties
         """
         super(ComputeInstanceSchema, self).__init__(**kwargs)
-        self.properties = kwargs.get('properties', None)
+        self.properties = kwargs.get("properties", None)
 
 
 class ComputeInstance(Compute, ComputeInstanceSchema):
@@ -7925,32 +7498,29 @@ class ComputeInstance(Compute, ComputeInstanceSchema):
     """
 
     _validation = {
-        'compute_type': {'required': True},
-        'provisioning_state': {'readonly': True},
-        'created_on': {'readonly': True},
-        'modified_on': {'readonly': True},
-        'provisioning_errors': {'readonly': True},
-        'is_attached_compute': {'readonly': True},
+        "compute_type": {"required": True},
+        "provisioning_state": {"readonly": True},
+        "created_on": {"readonly": True},
+        "modified_on": {"readonly": True},
+        "provisioning_errors": {"readonly": True},
+        "is_attached_compute": {"readonly": True},
     }
 
     _attribute_map = {
-        'properties': {'key': 'properties', 'type': 'ComputeInstanceProperties'},
-        'compute_type': {'key': 'computeType', 'type': 'str'},
-        'compute_location': {'key': 'computeLocation', 'type': 'str'},
-        'provisioning_state': {'key': 'provisioningState', 'type': 'str'},
-        'description': {'key': 'description', 'type': 'str'},
-        'created_on': {'key': 'createdOn', 'type': 'iso-8601'},
-        'modified_on': {'key': 'modifiedOn', 'type': 'iso-8601'},
-        'resource_id': {'key': 'resourceId', 'type': 'str'},
-        'provisioning_errors': {'key': 'provisioningErrors', 'type': '[ErrorResponse]'},
-        'is_attached_compute': {'key': 'isAttachedCompute', 'type': 'bool'},
-        'disable_local_auth': {'key': 'disableLocalAuth', 'type': 'bool'},
+        "properties": {"key": "properties", "type": "ComputeInstanceProperties"},
+        "compute_type": {"key": "computeType", "type": "str"},
+        "compute_location": {"key": "computeLocation", "type": "str"},
+        "provisioning_state": {"key": "provisioningState", "type": "str"},
+        "description": {"key": "description", "type": "str"},
+        "created_on": {"key": "createdOn", "type": "iso-8601"},
+        "modified_on": {"key": "modifiedOn", "type": "iso-8601"},
+        "resource_id": {"key": "resourceId", "type": "str"},
+        "provisioning_errors": {"key": "provisioningErrors", "type": "[ErrorResponse]"},
+        "is_attached_compute": {"key": "isAttachedCompute", "type": "bool"},
+        "disable_local_auth": {"key": "disableLocalAuth", "type": "bool"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword properties: Properties of ComputeInstance.
         :paramtype properties: ~azure.mgmt.machinelearningservices.models.ComputeInstanceProperties
@@ -7965,17 +7535,17 @@ def __init__(
         :paramtype disable_local_auth: bool
         """
         super(ComputeInstance, self).__init__(**kwargs)
-        self.properties = kwargs.get('properties', None)
-        self.compute_type = 'ComputeInstance'  # type: str
-        self.compute_location = kwargs.get('compute_location', None)
+        self.properties = kwargs.get("properties", None)
+        self.compute_type = "ComputeInstance"  # type: str
+        self.compute_location = kwargs.get("compute_location", None)
         self.provisioning_state = None
-        self.description = kwargs.get('description', None)
+        self.description = kwargs.get("description", None)
         self.created_on = None
         self.modified_on = None
-        self.resource_id = kwargs.get('resource_id', None)
+        self.resource_id = kwargs.get("resource_id", None)
         self.provisioning_errors = None
         self.is_attached_compute = None
-        self.disable_local_auth = kwargs.get('disable_local_auth', None)
+        self.disable_local_auth = kwargs.get("disable_local_auth", None)
 
 
 class ComputeInstanceApplication(msrest.serialization.Model):
@@ -7988,14 +7558,11 @@ class ComputeInstanceApplication(msrest.serialization.Model):
     """
 
     _attribute_map = {
-        'display_name': {'key': 'displayName', 'type': 'str'},
-        'endpoint_uri': {'key': 'endpointUri', 'type': 'str'},
+        "display_name": {"key": "displayName", "type": "str"},
+        "endpoint_uri": {"key": "endpointUri", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword display_name: Name of the ComputeInstance application.
         :paramtype display_name: str
@@ -8003,8 +7570,8 @@ def __init__(
         :paramtype endpoint_uri: str
         """
         super(ComputeInstanceApplication, self).__init__(**kwargs)
-        self.display_name = kwargs.get('display_name', None)
-        self.endpoint_uri = kwargs.get('endpoint_uri', None)
+        self.display_name = kwargs.get("display_name", None)
+        self.endpoint_uri = kwargs.get("endpoint_uri", None)
 
 
 class ComputeInstanceAutologgerSettings(msrest.serialization.Model):
@@ -8016,13 +7583,10 @@ class ComputeInstanceAutologgerSettings(msrest.serialization.Model):
     """
 
     _attribute_map = {
-        'mlflow_autologger': {'key': 'mlflowAutologger', 'type': 'str'},
+        "mlflow_autologger": {"key": "mlflowAutologger", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword mlflow_autologger: Indicates whether mlflow autologger is enabled for notebooks.
          Possible values include: "Enabled", "Disabled".
@@ -8030,7 +7594,7 @@ def __init__(
          ~azure.mgmt.machinelearningservices.models.MlflowAutologger
         """
         super(ComputeInstanceAutologgerSettings, self).__init__(**kwargs)
-        self.mlflow_autologger = kwargs.get('mlflow_autologger', None)
+        self.mlflow_autologger = kwargs.get("mlflow_autologger", None)
 
 
 class ComputeInstanceConnectivityEndpoints(msrest.serialization.Model):
@@ -8046,21 +7610,17 @@ class ComputeInstanceConnectivityEndpoints(msrest.serialization.Model):
     """
 
     _validation = {
-        'public_ip_address': {'readonly': True},
-        'private_ip_address': {'readonly': True},
+        "public_ip_address": {"readonly": True},
+        "private_ip_address": {"readonly": True},
     }
 
     _attribute_map = {
-        'public_ip_address': {'key': 'publicIpAddress', 'type': 'str'},
-        'private_ip_address': {'key': 'privateIpAddress', 'type': 'str'},
+        "public_ip_address": {"key": "publicIpAddress", "type": "str"},
+        "private_ip_address": {"key": "privateIpAddress", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
-        """
-        """
+    def __init__(self, **kwargs):
+        """ """
         super(ComputeInstanceConnectivityEndpoints, self).__init__(**kwargs)
         self.public_ip_address = None
         self.private_ip_address = None
@@ -8086,22 +7646,19 @@ class ComputeInstanceContainer(msrest.serialization.Model):
     """
 
     _validation = {
-        'services': {'readonly': True},
+        "services": {"readonly": True},
     }
 
     _attribute_map = {
-        'name': {'key': 'name', 'type': 'str'},
-        'autosave': {'key': 'autosave', 'type': 'str'},
-        'gpu': {'key': 'gpu', 'type': 'str'},
-        'network': {'key': 'network', 'type': 'str'},
-        'environment': {'key': 'environment', 'type': 'ComputeInstanceEnvironmentInfo'},
-        'services': {'key': 'services', 'type': '[object]'},
+        "name": {"key": "name", "type": "str"},
+        "autosave": {"key": "autosave", "type": "str"},
+        "gpu": {"key": "gpu", "type": "str"},
+        "network": {"key": "network", "type": "str"},
+        "environment": {"key": "environment", "type": "ComputeInstanceEnvironmentInfo"},
+        "services": {"key": "services", "type": "[object]"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword name: Name of the ComputeInstance container.
         :paramtype name: str
@@ -8116,11 +7673,11 @@ def __init__(
          ~azure.mgmt.machinelearningservices.models.ComputeInstanceEnvironmentInfo
         """
         super(ComputeInstanceContainer, self).__init__(**kwargs)
-        self.name = kwargs.get('name', None)
-        self.autosave = kwargs.get('autosave', None)
-        self.gpu = kwargs.get('gpu', None)
-        self.network = kwargs.get('network', None)
-        self.environment = kwargs.get('environment', None)
+        self.name = kwargs.get("name", None)
+        self.autosave = kwargs.get("autosave", None)
+        self.gpu = kwargs.get("gpu", None)
+        self.network = kwargs.get("network", None)
+        self.environment = kwargs.get("environment", None)
         self.services = None
 
 
@@ -8138,23 +7695,19 @@ class ComputeInstanceCreatedBy(msrest.serialization.Model):
     """
 
     _validation = {
-        'user_name': {'readonly': True},
-        'user_org_id': {'readonly': True},
-        'user_id': {'readonly': True},
+        "user_name": {"readonly": True},
+        "user_org_id": {"readonly": True},
+        "user_id": {"readonly": True},
     }
 
     _attribute_map = {
-        'user_name': {'key': 'userName', 'type': 'str'},
-        'user_org_id': {'key': 'userOrgId', 'type': 'str'},
-        'user_id': {'key': 'userId', 'type': 'str'},
+        "user_name": {"key": "userName", "type": "str"},
+        "user_org_id": {"key": "userOrgId", "type": "str"},
+        "user_id": {"key": "userId", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
-        """
-        """
+    def __init__(self, **kwargs):
+        """ """
         super(ComputeInstanceCreatedBy, self).__init__(**kwargs)
         self.user_name = None
         self.user_org_id = None
@@ -8179,16 +7732,13 @@ class ComputeInstanceDataDisk(msrest.serialization.Model):
     """
 
     _attribute_map = {
-        'caching': {'key': 'caching', 'type': 'str'},
-        'disk_size_gb': {'key': 'diskSizeGB', 'type': 'int'},
-        'lun': {'key': 'lun', 'type': 'int'},
-        'storage_account_type': {'key': 'storageAccountType', 'type': 'str'},
+        "caching": {"key": "caching", "type": "str"},
+        "disk_size_gb": {"key": "diskSizeGB", "type": "int"},
+        "lun": {"key": "lun", "type": "int"},
+        "storage_account_type": {"key": "storageAccountType", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword caching: Caching type of Data Disk. Possible values include: "None", "ReadOnly",
          "ReadWrite".
@@ -8204,10 +7754,10 @@ def __init__(
          ~azure.mgmt.machinelearningservices.models.StorageAccountType
         """
         super(ComputeInstanceDataDisk, self).__init__(**kwargs)
-        self.caching = kwargs.get('caching', None)
-        self.disk_size_gb = kwargs.get('disk_size_gb', None)
-        self.lun = kwargs.get('lun', None)
-        self.storage_account_type = kwargs.get('storage_account_type', "Standard_LRS")
+        self.caching = kwargs.get("caching", None)
+        self.disk_size_gb = kwargs.get("disk_size_gb", None)
+        self.lun = kwargs.get("lun", None)
+        self.storage_account_type = kwargs.get("storage_account_type", "Standard_LRS")
 
 
 class ComputeInstanceDataMount(msrest.serialization.Model):
@@ -8237,22 +7787,19 @@ class ComputeInstanceDataMount(msrest.serialization.Model):
     """
 
     _attribute_map = {
-        'source': {'key': 'source', 'type': 'str'},
-        'source_type': {'key': 'sourceType', 'type': 'str'},
-        'mount_name': {'key': 'mountName', 'type': 'str'},
-        'mount_action': {'key': 'mountAction', 'type': 'str'},
-        'mount_mode': {'key': 'mountMode', 'type': 'str'},
-        'created_by': {'key': 'createdBy', 'type': 'str'},
-        'mount_path': {'key': 'mountPath', 'type': 'str'},
-        'mount_state': {'key': 'mountState', 'type': 'str'},
-        'mounted_on': {'key': 'mountedOn', 'type': 'iso-8601'},
-        'error': {'key': 'error', 'type': 'str'},
+        "source": {"key": "source", "type": "str"},
+        "source_type": {"key": "sourceType", "type": "str"},
+        "mount_name": {"key": "mountName", "type": "str"},
+        "mount_action": {"key": "mountAction", "type": "str"},
+        "mount_mode": {"key": "mountMode", "type": "str"},
+        "created_by": {"key": "createdBy", "type": "str"},
+        "mount_path": {"key": "mountPath", "type": "str"},
+        "mount_state": {"key": "mountState", "type": "str"},
+        "mounted_on": {"key": "mountedOn", "type": "iso-8601"},
+        "error": {"key": "error", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword source: Source of the ComputeInstance data mount.
         :paramtype source: str
@@ -8277,16 +7824,16 @@ def __init__(
         :paramtype error: str
         """
         super(ComputeInstanceDataMount, self).__init__(**kwargs)
-        self.source = kwargs.get('source', None)
-        self.source_type = kwargs.get('source_type', None)
-        self.mount_name = kwargs.get('mount_name', None)
-        self.mount_action = kwargs.get('mount_action', None)
-        self.mount_mode = kwargs.get('mount_mode', None)
-        self.created_by = kwargs.get('created_by', None)
-        self.mount_path = kwargs.get('mount_path', None)
-        self.mount_state = kwargs.get('mount_state', None)
-        self.mounted_on = kwargs.get('mounted_on', None)
-        self.error = kwargs.get('error', None)
+        self.source = kwargs.get("source", None)
+        self.source_type = kwargs.get("source_type", None)
+        self.mount_name = kwargs.get("mount_name", None)
+        self.mount_action = kwargs.get("mount_action", None)
+        self.mount_mode = kwargs.get("mount_mode", None)
+        self.created_by = kwargs.get("created_by", None)
+        self.mount_path = kwargs.get("mount_path", None)
+        self.mount_state = kwargs.get("mount_state", None)
+        self.mounted_on = kwargs.get("mounted_on", None)
+        self.error = kwargs.get("error", None)
 
 
 class ComputeInstanceEnvironmentInfo(msrest.serialization.Model):
@@ -8299,14 +7846,11 @@ class ComputeInstanceEnvironmentInfo(msrest.serialization.Model):
     """
 
     _attribute_map = {
-        'name': {'key': 'name', 'type': 'str'},
-        'version': {'key': 'version', 'type': 'str'},
+        "name": {"key": "name", "type": "str"},
+        "version": {"key": "version", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword name: name of environment.
         :paramtype name: str
@@ -8314,8 +7858,8 @@ def __init__(
         :paramtype version: str
         """
         super(ComputeInstanceEnvironmentInfo, self).__init__(**kwargs)
-        self.name = kwargs.get('name', None)
-        self.version = kwargs.get('version', None)
+        self.name = kwargs.get("name", None)
+        self.version = kwargs.get("version", None)
 
 
 class ComputeInstanceLastOperation(msrest.serialization.Model):
@@ -8336,16 +7880,13 @@ class ComputeInstanceLastOperation(msrest.serialization.Model):
     """
 
     _attribute_map = {
-        'operation_name': {'key': 'operationName', 'type': 'str'},
-        'operation_time': {'key': 'operationTime', 'type': 'iso-8601'},
-        'operation_status': {'key': 'operationStatus', 'type': 'str'},
-        'operation_trigger': {'key': 'operationTrigger', 'type': 'str'},
+        "operation_name": {"key": "operationName", "type": "str"},
+        "operation_time": {"key": "operationTime", "type": "iso-8601"},
+        "operation_status": {"key": "operationStatus", "type": "str"},
+        "operation_trigger": {"key": "operationTrigger", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword operation_name: Name of the last operation. Possible values include: "Create",
          "Start", "Stop", "Restart", "Resize", "Reimage", "Delete".
@@ -8362,10 +7903,10 @@ def __init__(
          ~azure.mgmt.machinelearningservices.models.OperationTrigger
         """
         super(ComputeInstanceLastOperation, self).__init__(**kwargs)
-        self.operation_name = kwargs.get('operation_name', None)
-        self.operation_time = kwargs.get('operation_time', None)
-        self.operation_status = kwargs.get('operation_status', None)
-        self.operation_trigger = kwargs.get('operation_trigger', None)
+        self.operation_name = kwargs.get("operation_name", None)
+        self.operation_time = kwargs.get("operation_time", None)
+        self.operation_status = kwargs.get("operation_status", None)
+        self.operation_trigger = kwargs.get("operation_trigger", None)
 
 
 class ComputeInstanceProperties(msrest.serialization.Model):
@@ -8454,54 +7995,53 @@ class ComputeInstanceProperties(msrest.serialization.Model):
     """
 
     _validation = {
-        'os_image_metadata': {'readonly': True},
-        'connectivity_endpoints': {'readonly': True},
-        'applications': {'readonly': True},
-        'created_by': {'readonly': True},
-        'errors': {'readonly': True},
-        'state': {'readonly': True},
-        'last_operation': {'readonly': True},
-        'containers': {'readonly': True},
-        'data_disks': {'readonly': True},
-        'data_mounts': {'readonly': True},
-        'versions': {'readonly': True},
-    }
-
-    _attribute_map = {
-        'vm_size': {'key': 'vmSize', 'type': 'str'},
-        'subnet': {'key': 'subnet', 'type': 'ResourceId'},
-        'application_sharing_policy': {'key': 'applicationSharingPolicy', 'type': 'str'},
-        'autologger_settings': {'key': 'autologgerSettings', 'type': 'ComputeInstanceAutologgerSettings'},
-        'ssh_settings': {'key': 'sshSettings', 'type': 'ComputeInstanceSshSettings'},
-        'custom_services': {'key': 'customServices', 'type': '[CustomService]'},
-        'os_image_metadata': {'key': 'osImageMetadata', 'type': 'ImageMetadata'},
-        'connectivity_endpoints': {'key': 'connectivityEndpoints', 'type': 'ComputeInstanceConnectivityEndpoints'},
-        'applications': {'key': 'applications', 'type': '[ComputeInstanceApplication]'},
-        'created_by': {'key': 'createdBy', 'type': 'ComputeInstanceCreatedBy'},
-        'errors': {'key': 'errors', 'type': '[ErrorResponse]'},
-        'state': {'key': 'state', 'type': 'str'},
-        'compute_instance_authorization_type': {'key': 'computeInstanceAuthorizationType', 'type': 'str'},
-        'enable_os_patching': {'key': 'enableOSPatching', 'type': 'bool'},
-        'enable_root_access': {'key': 'enableRootAccess', 'type': 'bool'},
-        'enable_sso': {'key': 'enableSSO', 'type': 'bool'},
-        'release_quota_on_stop': {'key': 'releaseQuotaOnStop', 'type': 'bool'},
-        'personal_compute_instance_settings': {'key': 'personalComputeInstanceSettings',
-                                               'type': 'PersonalComputeInstanceSettings'},
-        'setup_scripts': {'key': 'setupScripts', 'type': 'SetupScripts'},
-        'last_operation': {'key': 'lastOperation', 'type': 'ComputeInstanceLastOperation'},
-        'schedules': {'key': 'schedules', 'type': 'ComputeSchedules'},
-        'idle_time_before_shutdown': {'key': 'idleTimeBeforeShutdown', 'type': 'str'},
-        'enable_node_public_ip': {'key': 'enableNodePublicIp', 'type': 'bool'},
-        'containers': {'key': 'containers', 'type': '[ComputeInstanceContainer]'},
-        'data_disks': {'key': 'dataDisks', 'type': '[ComputeInstanceDataDisk]'},
-        'data_mounts': {'key': 'dataMounts', 'type': '[ComputeInstanceDataMount]'},
-        'versions': {'key': 'versions', 'type': 'ComputeInstanceVersion'},
-    }
-
-    def __init__(
-            self,
-            **kwargs
-    ):
+        "os_image_metadata": {"readonly": True},
+        "connectivity_endpoints": {"readonly": True},
+        "applications": {"readonly": True},
+        "created_by": {"readonly": True},
+        "errors": {"readonly": True},
+        "state": {"readonly": True},
+        "last_operation": {"readonly": True},
+        "containers": {"readonly": True},
+        "data_disks": {"readonly": True},
+        "data_mounts": {"readonly": True},
+        "versions": {"readonly": True},
+    }
+
+    _attribute_map = {
+        "vm_size": {"key": "vmSize", "type": "str"},
+        "subnet": {"key": "subnet", "type": "ResourceId"},
+        "application_sharing_policy": {"key": "applicationSharingPolicy", "type": "str"},
+        "autologger_settings": {"key": "autologgerSettings", "type": "ComputeInstanceAutologgerSettings"},
+        "ssh_settings": {"key": "sshSettings", "type": "ComputeInstanceSshSettings"},
+        "custom_services": {"key": "customServices", "type": "[CustomService]"},
+        "os_image_metadata": {"key": "osImageMetadata", "type": "ImageMetadata"},
+        "connectivity_endpoints": {"key": "connectivityEndpoints", "type": "ComputeInstanceConnectivityEndpoints"},
+        "applications": {"key": "applications", "type": "[ComputeInstanceApplication]"},
+        "created_by": {"key": "createdBy", "type": "ComputeInstanceCreatedBy"},
+        "errors": {"key": "errors", "type": "[ErrorResponse]"},
+        "state": {"key": "state", "type": "str"},
+        "compute_instance_authorization_type": {"key": "computeInstanceAuthorizationType", "type": "str"},
+        "enable_os_patching": {"key": "enableOSPatching", "type": "bool"},
+        "enable_root_access": {"key": "enableRootAccess", "type": "bool"},
+        "enable_sso": {"key": "enableSSO", "type": "bool"},
+        "release_quota_on_stop": {"key": "releaseQuotaOnStop", "type": "bool"},
+        "personal_compute_instance_settings": {
+            "key": "personalComputeInstanceSettings",
+            "type": "PersonalComputeInstanceSettings",
+        },
+        "setup_scripts": {"key": "setupScripts", "type": "SetupScripts"},
+        "last_operation": {"key": "lastOperation", "type": "ComputeInstanceLastOperation"},
+        "schedules": {"key": "schedules", "type": "ComputeSchedules"},
+        "idle_time_before_shutdown": {"key": "idleTimeBeforeShutdown", "type": "str"},
+        "enable_node_public_ip": {"key": "enableNodePublicIp", "type": "bool"},
+        "containers": {"key": "containers", "type": "[ComputeInstanceContainer]"},
+        "data_disks": {"key": "dataDisks", "type": "[ComputeInstanceDataDisk]"},
+        "data_mounts": {"key": "dataMounts", "type": "[ComputeInstanceDataMount]"},
+        "versions": {"key": "versions", "type": "ComputeInstanceVersion"},
+    }
+
+    def __init__(self, **kwargs):
         """
         :keyword vm_size: Virtual Machine Size.
         :paramtype vm_size: str
@@ -8553,29 +8093,29 @@ def __init__(
         :paramtype enable_node_public_ip: bool
         """
         super(ComputeInstanceProperties, self).__init__(**kwargs)
-        self.vm_size = kwargs.get('vm_size', None)
-        self.subnet = kwargs.get('subnet', None)
-        self.application_sharing_policy = kwargs.get('application_sharing_policy', "Shared")
-        self.autologger_settings = kwargs.get('autologger_settings', None)
-        self.ssh_settings = kwargs.get('ssh_settings', None)
-        self.custom_services = kwargs.get('custom_services', None)
+        self.vm_size = kwargs.get("vm_size", None)
+        self.subnet = kwargs.get("subnet", None)
+        self.application_sharing_policy = kwargs.get("application_sharing_policy", "Shared")
+        self.autologger_settings = kwargs.get("autologger_settings", None)
+        self.ssh_settings = kwargs.get("ssh_settings", None)
+        self.custom_services = kwargs.get("custom_services", None)
         self.os_image_metadata = None
         self.connectivity_endpoints = None
         self.applications = None
         self.created_by = None
         self.errors = None
         self.state = None
-        self.compute_instance_authorization_type = kwargs.get('compute_instance_authorization_type', "personal")
-        self.enable_os_patching = kwargs.get('enable_os_patching', False)
-        self.enable_root_access = kwargs.get('enable_root_access', True)
-        self.enable_sso = kwargs.get('enable_sso', True)
-        self.release_quota_on_stop = kwargs.get('release_quota_on_stop', False)
-        self.personal_compute_instance_settings = kwargs.get('personal_compute_instance_settings', None)
-        self.setup_scripts = kwargs.get('setup_scripts', None)
+        self.compute_instance_authorization_type = kwargs.get("compute_instance_authorization_type", "personal")
+        self.enable_os_patching = kwargs.get("enable_os_patching", False)
+        self.enable_root_access = kwargs.get("enable_root_access", True)
+        self.enable_sso = kwargs.get("enable_sso", True)
+        self.release_quota_on_stop = kwargs.get("release_quota_on_stop", False)
+        self.personal_compute_instance_settings = kwargs.get("personal_compute_instance_settings", None)
+        self.setup_scripts = kwargs.get("setup_scripts", None)
         self.last_operation = None
-        self.schedules = kwargs.get('schedules', None)
-        self.idle_time_before_shutdown = kwargs.get('idle_time_before_shutdown', None)
-        self.enable_node_public_ip = kwargs.get('enable_node_public_ip', None)
+        self.schedules = kwargs.get("schedules", None)
+        self.idle_time_before_shutdown = kwargs.get("idle_time_before_shutdown", None)
+        self.enable_node_public_ip = kwargs.get("enable_node_public_ip", None)
         self.containers = None
         self.data_disks = None
         self.data_mounts = None
@@ -8602,21 +8142,18 @@ class ComputeInstanceSshSettings(msrest.serialization.Model):
     """
 
     _validation = {
-        'admin_user_name': {'readonly': True},
-        'ssh_port': {'readonly': True},
+        "admin_user_name": {"readonly": True},
+        "ssh_port": {"readonly": True},
     }
 
     _attribute_map = {
-        'ssh_public_access': {'key': 'sshPublicAccess', 'type': 'str'},
-        'admin_user_name': {'key': 'adminUserName', 'type': 'str'},
-        'ssh_port': {'key': 'sshPort', 'type': 'int'},
-        'admin_public_key': {'key': 'adminPublicKey', 'type': 'str'},
+        "ssh_public_access": {"key": "sshPublicAccess", "type": "str"},
+        "admin_user_name": {"key": "adminUserName", "type": "str"},
+        "ssh_port": {"key": "sshPort", "type": "int"},
+        "admin_public_key": {"key": "adminPublicKey", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword ssh_public_access: State of the public SSH port. Possible values are: Disabled -
          Indicates that the public ssh port is closed on this instance. Enabled - Indicates that the
@@ -8628,10 +8165,10 @@ def __init__(
         :paramtype admin_public_key: str
         """
         super(ComputeInstanceSshSettings, self).__init__(**kwargs)
-        self.ssh_public_access = kwargs.get('ssh_public_access', "Disabled")
+        self.ssh_public_access = kwargs.get("ssh_public_access", "Disabled")
         self.admin_user_name = None
         self.ssh_port = None
-        self.admin_public_key = kwargs.get('admin_public_key', None)
+        self.admin_public_key = kwargs.get("admin_public_key", None)
 
 
 class ComputeInstanceVersion(msrest.serialization.Model):
@@ -8642,19 +8179,16 @@ class ComputeInstanceVersion(msrest.serialization.Model):
     """
 
     _attribute_map = {
-        'runtime': {'key': 'runtime', 'type': 'str'},
+        "runtime": {"key": "runtime", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword runtime: Runtime of compute instance.
         :paramtype runtime: str
         """
         super(ComputeInstanceVersion, self).__init__(**kwargs)
-        self.runtime = kwargs.get('runtime', None)
+        self.runtime = kwargs.get("runtime", None)
 
 
 class ComputeRecurrenceSchedule(msrest.serialization.Model):
@@ -8673,21 +8207,18 @@ class ComputeRecurrenceSchedule(msrest.serialization.Model):
     """
 
     _validation = {
-        'hours': {'required': True},
-        'minutes': {'required': True},
+        "hours": {"required": True},
+        "minutes": {"required": True},
     }
 
     _attribute_map = {
-        'hours': {'key': 'hours', 'type': '[int]'},
-        'minutes': {'key': 'minutes', 'type': '[int]'},
-        'month_days': {'key': 'monthDays', 'type': '[int]'},
-        'week_days': {'key': 'weekDays', 'type': '[str]'},
+        "hours": {"key": "hours", "type": "[int]"},
+        "minutes": {"key": "minutes", "type": "[int]"},
+        "month_days": {"key": "monthDays", "type": "[int]"},
+        "week_days": {"key": "weekDays", "type": "[str]"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword hours: Required. [Required] List of hours for the schedule.
         :paramtype hours: list[int]
@@ -8699,10 +8230,10 @@ def __init__(
         :paramtype week_days: list[str or ~azure.mgmt.machinelearningservices.models.ComputeWeekDay]
         """
         super(ComputeRecurrenceSchedule, self).__init__(**kwargs)
-        self.hours = kwargs['hours']
-        self.minutes = kwargs['minutes']
-        self.month_days = kwargs.get('month_days', None)
-        self.week_days = kwargs.get('week_days', None)
+        self.hours = kwargs["hours"]
+        self.minutes = kwargs["minutes"]
+        self.month_days = kwargs.get("month_days", None)
+        self.week_days = kwargs.get("week_days", None)
 
 
 class ComputeResourceSchema(msrest.serialization.Model):
@@ -8713,19 +8244,16 @@ class ComputeResourceSchema(msrest.serialization.Model):
     """
 
     _attribute_map = {
-        'properties': {'key': 'properties', 'type': 'Compute'},
+        "properties": {"key": "properties", "type": "Compute"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword properties: Compute properties.
         :paramtype properties: ~azure.mgmt.machinelearningservices.models.Compute
         """
         super(ComputeResourceSchema, self).__init__(**kwargs)
-        self.properties = kwargs.get('properties', None)
+        self.properties = kwargs.get("properties", None)
 
 
 class ComputeResource(Resource, ComputeResourceSchema):
@@ -8757,28 +8285,25 @@ class ComputeResource(Resource, ComputeResourceSchema):
     """
 
     _validation = {
-        'id': {'readonly': True},
-        'name': {'readonly': True},
-        'type': {'readonly': True},
-        'system_data': {'readonly': True},
+        "id": {"readonly": True},
+        "name": {"readonly": True},
+        "type": {"readonly": True},
+        "system_data": {"readonly": True},
     }
 
     _attribute_map = {
-        'properties': {'key': 'properties', 'type': 'Compute'},
-        'id': {'key': 'id', 'type': 'str'},
-        'name': {'key': 'name', 'type': 'str'},
-        'type': {'key': 'type', 'type': 'str'},
-        'system_data': {'key': 'systemData', 'type': 'SystemData'},
-        'identity': {'key': 'identity', 'type': 'ManagedServiceIdentity'},
-        'location': {'key': 'location', 'type': 'str'},
-        'tags': {'key': 'tags', 'type': '{str}'},
-        'sku': {'key': 'sku', 'type': 'Sku'},
+        "properties": {"key": "properties", "type": "Compute"},
+        "id": {"key": "id", "type": "str"},
+        "name": {"key": "name", "type": "str"},
+        "type": {"key": "type", "type": "str"},
+        "system_data": {"key": "systemData", "type": "SystemData"},
+        "identity": {"key": "identity", "type": "ManagedServiceIdentity"},
+        "location": {"key": "location", "type": "str"},
+        "tags": {"key": "tags", "type": "{str}"},
+        "sku": {"key": "sku", "type": "Sku"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword properties: Compute properties.
         :paramtype properties: ~azure.mgmt.machinelearningservices.models.Compute
@@ -8792,11 +8317,11 @@ def __init__(
         :paramtype sku: ~azure.mgmt.machinelearningservices.models.Sku
         """
         super(ComputeResource, self).__init__(**kwargs)
-        self.properties = kwargs.get('properties', None)
-        self.identity = kwargs.get('identity', None)
-        self.location = kwargs.get('location', None)
-        self.tags = kwargs.get('tags', None)
-        self.sku = kwargs.get('sku', None)
+        self.properties = kwargs.get("properties", None)
+        self.identity = kwargs.get("identity", None)
+        self.location = kwargs.get("location", None)
+        self.tags = kwargs.get("tags", None)
+        self.sku = kwargs.get("sku", None)
         self.id = None
         self.name = None
         self.type = None
@@ -8811,19 +8336,16 @@ class ComputeRuntimeDto(msrest.serialization.Model):
     """
 
     _attribute_map = {
-        'spark_runtime_version': {'key': 'sparkRuntimeVersion', 'type': 'str'},
+        "spark_runtime_version": {"key": "sparkRuntimeVersion", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword spark_runtime_version:
         :paramtype spark_runtime_version: str
         """
         super(ComputeRuntimeDto, self).__init__(**kwargs)
-        self.spark_runtime_version = kwargs.get('spark_runtime_version', None)
+        self.spark_runtime_version = kwargs.get("spark_runtime_version", None)
 
 
 class ComputeSchedules(msrest.serialization.Model):
@@ -8835,20 +8357,17 @@ class ComputeSchedules(msrest.serialization.Model):
     """
 
     _attribute_map = {
-        'compute_start_stop': {'key': 'computeStartStop', 'type': '[ComputeStartStopSchedule]'},
+        "compute_start_stop": {"key": "computeStartStop", "type": "[ComputeStartStopSchedule]"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword compute_start_stop: The list of compute start stop schedules to be applied.
         :paramtype compute_start_stop:
          list[~azure.mgmt.machinelearningservices.models.ComputeStartStopSchedule]
         """
         super(ComputeSchedules, self).__init__(**kwargs)
-        self.compute_start_stop = kwargs.get('compute_start_stop', None)
+        self.compute_start_stop = kwargs.get("compute_start_stop", None)
 
 
 class ComputeStartStopSchedule(msrest.serialization.Model):
@@ -8879,25 +8398,22 @@ class ComputeStartStopSchedule(msrest.serialization.Model):
     """
 
     _validation = {
-        'id': {'readonly': True},
-        'provisioning_status': {'readonly': True},
+        "id": {"readonly": True},
+        "provisioning_status": {"readonly": True},
     }
 
     _attribute_map = {
-        'id': {'key': 'id', 'type': 'str'},
-        'provisioning_status': {'key': 'provisioningStatus', 'type': 'str'},
-        'status': {'key': 'status', 'type': 'str'},
-        'action': {'key': 'action', 'type': 'str'},
-        'trigger_type': {'key': 'triggerType', 'type': 'str'},
-        'recurrence': {'key': 'recurrence', 'type': 'Recurrence'},
-        'cron': {'key': 'cron', 'type': 'Cron'},
-        'schedule': {'key': 'schedule', 'type': 'ScheduleBase'},
+        "id": {"key": "id", "type": "str"},
+        "provisioning_status": {"key": "provisioningStatus", "type": "str"},
+        "status": {"key": "status", "type": "str"},
+        "action": {"key": "action", "type": "str"},
+        "trigger_type": {"key": "triggerType", "type": "str"},
+        "recurrence": {"key": "recurrence", "type": "Recurrence"},
+        "cron": {"key": "cron", "type": "Cron"},
+        "schedule": {"key": "schedule", "type": "ScheduleBase"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword status: Is the schedule enabled or disabled?. Possible values include: "Enabled",
          "Disabled".
@@ -8917,12 +8433,12 @@ def __init__(
         super(ComputeStartStopSchedule, self).__init__(**kwargs)
         self.id = None
         self.provisioning_status = None
-        self.status = kwargs.get('status', None)
-        self.action = kwargs.get('action', None)
-        self.trigger_type = kwargs.get('trigger_type', None)
-        self.recurrence = kwargs.get('recurrence', None)
-        self.cron = kwargs.get('cron', None)
-        self.schedule = kwargs.get('schedule', None)
+        self.status = kwargs.get("status", None)
+        self.action = kwargs.get("action", None)
+        self.trigger_type = kwargs.get("trigger_type", None)
+        self.recurrence = kwargs.get("recurrence", None)
+        self.cron = kwargs.get("cron", None)
+        self.schedule = kwargs.get("schedule", None)
 
 
 class ContainerResourceRequirements(msrest.serialization.Model):
@@ -8937,14 +8453,11 @@ class ContainerResourceRequirements(msrest.serialization.Model):
     """
 
     _attribute_map = {
-        'container_resource_limits': {'key': 'containerResourceLimits', 'type': 'ContainerResourceSettings'},
-        'container_resource_requests': {'key': 'containerResourceRequests', 'type': 'ContainerResourceSettings'},
+        "container_resource_limits": {"key": "containerResourceLimits", "type": "ContainerResourceSettings"},
+        "container_resource_requests": {"key": "containerResourceRequests", "type": "ContainerResourceSettings"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword container_resource_limits: Container resource limit info:.
         :paramtype container_resource_limits:
@@ -8954,8 +8467,8 @@ def __init__(
          ~azure.mgmt.machinelearningservices.models.ContainerResourceSettings
         """
         super(ContainerResourceRequirements, self).__init__(**kwargs)
-        self.container_resource_limits = kwargs.get('container_resource_limits', None)
-        self.container_resource_requests = kwargs.get('container_resource_requests', None)
+        self.container_resource_limits = kwargs.get("container_resource_limits", None)
+        self.container_resource_requests = kwargs.get("container_resource_requests", None)
 
 
 class ContainerResourceSettings(msrest.serialization.Model):
@@ -8973,15 +8486,12 @@ class ContainerResourceSettings(msrest.serialization.Model):
     """
 
     _attribute_map = {
-        'cpu': {'key': 'cpu', 'type': 'str'},
-        'gpu': {'key': 'gpu', 'type': 'str'},
-        'memory': {'key': 'memory', 'type': 'str'},
+        "cpu": {"key": "cpu", "type": "str"},
+        "gpu": {"key": "gpu", "type": "str"},
+        "memory": {"key": "memory", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword cpu: Number of vCPUs request/limit for container. More info:
          https://kubernetes.io/docs/concepts/configuration/manage-compute-resources-container/.
@@ -8994,9 +8504,9 @@ def __init__(
         :paramtype memory: str
         """
         super(ContainerResourceSettings, self).__init__(**kwargs)
-        self.cpu = kwargs.get('cpu', None)
-        self.gpu = kwargs.get('gpu', None)
-        self.memory = kwargs.get('memory', None)
+        self.cpu = kwargs.get("cpu", None)
+        self.gpu = kwargs.get("gpu", None)
+        self.memory = kwargs.get("memory", None)
 
 
 class EndpointDeploymentResourceProperties(msrest.serialization.Model):
@@ -9020,39 +8530,39 @@ class EndpointDeploymentResourceProperties(msrest.serialization.Model):
     """
 
     _validation = {
-        'provisioning_state': {'readonly': True},
-        'type': {'required': True, 'min_length': 1, 'pattern': r'[a-zA-Z0-9._]'},
+        "provisioning_state": {"readonly": True},
+        "type": {"required": True, "min_length": 1, "pattern": r"[a-zA-Z0-9._]"},
     }
 
     _attribute_map = {
-        'failure_reason': {'key': 'failureReason', 'type': 'str'},
-        'provisioning_state': {'key': 'provisioningState', 'type': 'str'},
-        'type': {'key': 'type', 'type': 'str'},
+        "failure_reason": {"key": "failureReason", "type": "str"},
+        "provisioning_state": {"key": "provisioningState", "type": "str"},
+        "type": {"key": "type", "type": "str"},
     }
 
     _subtype_map = {
-        'type': {'Azure.ContentSafety': 'ContentSafetyEndpointDeploymentResourceProperties',
-                 'Azure.OpenAI': 'OpenAIEndpointDeploymentResourceProperties',
-                 'Azure.Speech': 'SpeechEndpointDeploymentResourceProperties',
-                 'managedOnlineEndpoint': 'ManagedOnlineEndpointDeploymentResourceProperties'}
+        "type": {
+            "Azure.ContentSafety": "ContentSafetyEndpointDeploymentResourceProperties",
+            "Azure.OpenAI": "OpenAIEndpointDeploymentResourceProperties",
+            "Azure.Speech": "SpeechEndpointDeploymentResourceProperties",
+            "managedOnlineEndpoint": "ManagedOnlineEndpointDeploymentResourceProperties",
+        }
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword failure_reason: The failure reason if the creation failed.
         :paramtype failure_reason: str
         """
         super(EndpointDeploymentResourceProperties, self).__init__(**kwargs)
-        self.failure_reason = kwargs.get('failure_reason', None)
+        self.failure_reason = kwargs.get("failure_reason", None)
         self.provisioning_state = None
         self.type = None  # type: Optional[str]
 
 
-class ContentSafetyEndpointDeploymentResourceProperties(EndpointDeploymentResourceProperties,
-                                                        CognitiveServiceEndpointDeploymentResourceProperties):
+class ContentSafetyEndpointDeploymentResourceProperties(
+    EndpointDeploymentResourceProperties, CognitiveServiceEndpointDeploymentResourceProperties
+):
     """ContentSafetyEndpointDeploymentResourceProperties.
 
     Variables are only populated by the server, and will be ignored when sending a request.
@@ -9080,25 +8590,22 @@ class ContentSafetyEndpointDeploymentResourceProperties(EndpointDeploymentResour
     """
 
     _validation = {
-        'model': {'required': True},
-        'provisioning_state': {'readonly': True},
-        'type': {'required': True, 'min_length': 1, 'pattern': r'[a-zA-Z0-9._]'},
+        "model": {"required": True},
+        "provisioning_state": {"readonly": True},
+        "type": {"required": True, "min_length": 1, "pattern": r"[a-zA-Z0-9._]"},
     }
 
     _attribute_map = {
-        'model': {'key': 'model', 'type': 'EndpointDeploymentModel'},
-        'rai_policy_name': {'key': 'raiPolicyName', 'type': 'str'},
-        'sku': {'key': 'sku', 'type': 'CognitiveServicesSku'},
-        'version_upgrade_option': {'key': 'versionUpgradeOption', 'type': 'str'},
-        'failure_reason': {'key': 'failureReason', 'type': 'str'},
-        'provisioning_state': {'key': 'provisioningState', 'type': 'str'},
-        'type': {'key': 'type', 'type': 'str'},
+        "model": {"key": "model", "type": "EndpointDeploymentModel"},
+        "rai_policy_name": {"key": "raiPolicyName", "type": "str"},
+        "sku": {"key": "sku", "type": "CognitiveServicesSku"},
+        "version_upgrade_option": {"key": "versionUpgradeOption", "type": "str"},
+        "failure_reason": {"key": "failureReason", "type": "str"},
+        "provisioning_state": {"key": "provisioningState", "type": "str"},
+        "type": {"key": "type", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword model: Required. Model used for the endpoint deployment.
         :paramtype model: ~azure.mgmt.machinelearningservices.models.EndpointDeploymentModel
@@ -9114,12 +8621,12 @@ def __init__(
         :paramtype failure_reason: str
         """
         super(ContentSafetyEndpointDeploymentResourceProperties, self).__init__(**kwargs)
-        self.model = kwargs['model']
-        self.rai_policy_name = kwargs.get('rai_policy_name', None)
-        self.sku = kwargs.get('sku', None)
-        self.version_upgrade_option = kwargs.get('version_upgrade_option', None)
-        self.type = 'Azure.ContentSafety'  # type: str
-        self.failure_reason = kwargs.get('failure_reason', None)
+        self.model = kwargs["model"]
+        self.rai_policy_name = kwargs.get("rai_policy_name", None)
+        self.sku = kwargs.get("sku", None)
+        self.version_upgrade_option = kwargs.get("version_upgrade_option", None)
+        self.type = "Azure.ContentSafety"  # type: str
+        self.failure_reason = kwargs.get("failure_reason", None)
         self.provisioning_state = None
 
 
@@ -9153,30 +8660,29 @@ class EndpointResourceProperties(msrest.serialization.Model):
     """
 
     _validation = {
-        'endpoint_type': {'required': True},
-        'provisioning_state': {'readonly': True},
+        "endpoint_type": {"required": True},
+        "provisioning_state": {"readonly": True},
     }
 
     _attribute_map = {
-        'associated_resource_id': {'key': 'associatedResourceId', 'type': 'str'},
-        'endpoint_type': {'key': 'endpointType', 'type': 'str'},
-        'endpoint_uri': {'key': 'endpointUri', 'type': 'str'},
-        'failure_reason': {'key': 'failureReason', 'type': 'str'},
-        'name': {'key': 'name', 'type': 'str'},
-        'provisioning_state': {'key': 'provisioningState', 'type': 'str'},
+        "associated_resource_id": {"key": "associatedResourceId", "type": "str"},
+        "endpoint_type": {"key": "endpointType", "type": "str"},
+        "endpoint_uri": {"key": "endpointUri", "type": "str"},
+        "failure_reason": {"key": "failureReason", "type": "str"},
+        "name": {"key": "name", "type": "str"},
+        "provisioning_state": {"key": "provisioningState", "type": "str"},
     }
 
     _subtype_map = {
-        'endpoint_type': {'Azure.ContentSafety': 'ContentSafetyEndpointResourceProperties',
-                          'Azure.OpenAI': 'OpenAIEndpointResourceProperties',
-                          'Azure.Speech': 'SpeechEndpointResourceProperties',
-                          'managedOnlineEndpoint': 'ManagedOnlineEndpointResourceProperties'}
+        "endpoint_type": {
+            "Azure.ContentSafety": "ContentSafetyEndpointResourceProperties",
+            "Azure.OpenAI": "OpenAIEndpointResourceProperties",
+            "Azure.Speech": "SpeechEndpointResourceProperties",
+            "managedOnlineEndpoint": "ManagedOnlineEndpointResourceProperties",
+        }
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword associated_resource_id: Byo resource id for creating the built-in model service
          endpoints.
@@ -9189,11 +8695,11 @@ def __init__(
         :paramtype name: str
         """
         super(EndpointResourceProperties, self).__init__(**kwargs)
-        self.associated_resource_id = kwargs.get('associated_resource_id', None)
+        self.associated_resource_id = kwargs.get("associated_resource_id", None)
         self.endpoint_type = None  # type: Optional[str]
-        self.endpoint_uri = kwargs.get('endpoint_uri', None)
-        self.failure_reason = kwargs.get('failure_reason', None)
-        self.name = kwargs.get('name', None)
+        self.endpoint_uri = kwargs.get("endpoint_uri", None)
+        self.failure_reason = kwargs.get("failure_reason", None)
+        self.name = kwargs.get("name", None)
         self.provisioning_state = None
 
 
@@ -9224,23 +8730,20 @@ class ContentSafetyEndpointResourceProperties(EndpointResourceProperties):
     """
 
     _validation = {
-        'endpoint_type': {'required': True},
-        'provisioning_state': {'readonly': True},
+        "endpoint_type": {"required": True},
+        "provisioning_state": {"readonly": True},
     }
 
     _attribute_map = {
-        'associated_resource_id': {'key': 'associatedResourceId', 'type': 'str'},
-        'endpoint_type': {'key': 'endpointType', 'type': 'str'},
-        'endpoint_uri': {'key': 'endpointUri', 'type': 'str'},
-        'failure_reason': {'key': 'failureReason', 'type': 'str'},
-        'name': {'key': 'name', 'type': 'str'},
-        'provisioning_state': {'key': 'provisioningState', 'type': 'str'},
+        "associated_resource_id": {"key": "associatedResourceId", "type": "str"},
+        "endpoint_type": {"key": "endpointType", "type": "str"},
+        "endpoint_uri": {"key": "endpointUri", "type": "str"},
+        "failure_reason": {"key": "failureReason", "type": "str"},
+        "name": {"key": "name", "type": "str"},
+        "provisioning_state": {"key": "provisioningState", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword associated_resource_id: Byo resource id for creating the built-in model service
          endpoints.
@@ -9253,7 +8756,7 @@ def __init__(
         :paramtype name: str
         """
         super(ContentSafetyEndpointResourceProperties, self).__init__(**kwargs)
-        self.endpoint_type = 'Azure.ContentSafety'  # type: str
+        self.endpoint_type = "Azure.ContentSafety"  # type: str
 
 
 class CosmosDbSettings(msrest.serialization.Model):
@@ -9264,19 +8767,16 @@ class CosmosDbSettings(msrest.serialization.Model):
     """
 
     _attribute_map = {
-        'collections_throughput': {'key': 'collectionsThroughput', 'type': 'int'},
+        "collections_throughput": {"key": "collectionsThroughput", "type": "int"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword collections_throughput:
         :paramtype collections_throughput: int
         """
         super(CosmosDbSettings, self).__init__(**kwargs)
-        self.collections_throughput = kwargs.get('collections_throughput', None)
+        self.collections_throughput = kwargs.get("collections_throughput", None)
 
 
 class ScheduleActionBase(msrest.serialization.Model):
@@ -9294,24 +8794,24 @@ class ScheduleActionBase(msrest.serialization.Model):
     """
 
     _validation = {
-        'action_type': {'required': True},
+        "action_type": {"required": True},
     }
 
     _attribute_map = {
-        'action_type': {'key': 'actionType', 'type': 'str'},
+        "action_type": {"key": "actionType", "type": "str"},
     }
 
     _subtype_map = {
-        'action_type': {'CreateJob': 'JobScheduleAction', 'CreateMonitor': 'CreateMonitorAction',
-                        'ImportData': 'ImportDataAction', 'InvokeBatchEndpoint': 'EndpointScheduleAction'}
+        "action_type": {
+            "CreateJob": "JobScheduleAction",
+            "CreateMonitor": "CreateMonitorAction",
+            "ImportData": "ImportDataAction",
+            "InvokeBatchEndpoint": "EndpointScheduleAction",
+        }
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
-        """
-        """
+    def __init__(self, **kwargs):
+        """ """
         super(ScheduleActionBase, self).__init__(**kwargs)
         self.action_type = None  # type: Optional[str]
 
@@ -9330,26 +8830,23 @@ class CreateMonitorAction(ScheduleActionBase):
     """
 
     _validation = {
-        'action_type': {'required': True},
-        'monitor_definition': {'required': True},
+        "action_type": {"required": True},
+        "monitor_definition": {"required": True},
     }
 
     _attribute_map = {
-        'action_type': {'key': 'actionType', 'type': 'str'},
-        'monitor_definition': {'key': 'monitorDefinition', 'type': 'MonitorDefinition'},
+        "action_type": {"key": "actionType", "type": "str"},
+        "monitor_definition": {"key": "monitorDefinition", "type": "MonitorDefinition"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword monitor_definition: Required. [Required] Defines the monitor.
         :paramtype monitor_definition: ~azure.mgmt.machinelearningservices.models.MonitorDefinition
         """
         super(CreateMonitorAction, self).__init__(**kwargs)
-        self.action_type = 'CreateMonitor'  # type: str
-        self.monitor_definition = kwargs['monitor_definition']
+        self.action_type = "CreateMonitor"  # type: str
+        self.monitor_definition = kwargs["monitor_definition"]
 
 
 class Cron(msrest.serialization.Model):
@@ -9367,15 +8864,12 @@ class Cron(msrest.serialization.Model):
     """
 
     _attribute_map = {
-        'start_time': {'key': 'startTime', 'type': 'str'},
-        'time_zone': {'key': 'timeZone', 'type': 'str'},
-        'expression': {'key': 'expression', 'type': 'str'},
+        "start_time": {"key": "startTime", "type": "str"},
+        "time_zone": {"key": "timeZone", "type": "str"},
+        "expression": {"key": "expression", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword start_time: The start time in yyyy-MM-ddTHH:mm:ss format.
         :paramtype start_time: str
@@ -9388,9 +8882,9 @@ def __init__(
         :paramtype expression: str
         """
         super(Cron, self).__init__(**kwargs)
-        self.start_time = kwargs.get('start_time', None)
-        self.time_zone = kwargs.get('time_zone', "UTC")
-        self.expression = kwargs.get('expression', None)
+        self.start_time = kwargs.get("start_time", None)
+        self.time_zone = kwargs.get("time_zone", "UTC")
+        self.expression = kwargs.get("expression", None)
 
 
 class TriggerBase(msrest.serialization.Model):
@@ -9419,24 +8913,19 @@ class TriggerBase(msrest.serialization.Model):
     """
 
     _validation = {
-        'trigger_type': {'required': True},
+        "trigger_type": {"required": True},
     }
 
     _attribute_map = {
-        'end_time': {'key': 'endTime', 'type': 'str'},
-        'start_time': {'key': 'startTime', 'type': 'str'},
-        'time_zone': {'key': 'timeZone', 'type': 'str'},
-        'trigger_type': {'key': 'triggerType', 'type': 'str'},
+        "end_time": {"key": "endTime", "type": "str"},
+        "start_time": {"key": "startTime", "type": "str"},
+        "time_zone": {"key": "timeZone", "type": "str"},
+        "trigger_type": {"key": "triggerType", "type": "str"},
     }
 
-    _subtype_map = {
-        'trigger_type': {'Cron': 'CronTrigger', 'Recurrence': 'RecurrenceTrigger'}
-    }
+    _subtype_map = {"trigger_type": {"Cron": "CronTrigger", "Recurrence": "RecurrenceTrigger"}}
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword end_time: Specifies end time of schedule in ISO 8601, but without a UTC offset. Refer
          https://en.wikipedia.org/wiki/ISO_8601.
@@ -9452,9 +8941,9 @@ def __init__(
         :paramtype time_zone: str
         """
         super(TriggerBase, self).__init__(**kwargs)
-        self.end_time = kwargs.get('end_time', None)
-        self.start_time = kwargs.get('start_time', None)
-        self.time_zone = kwargs.get('time_zone', "UTC")
+        self.end_time = kwargs.get("end_time", None)
+        self.start_time = kwargs.get("start_time", None)
+        self.time_zone = kwargs.get("time_zone", "UTC")
         self.trigger_type = None  # type: Optional[str]
 
 
@@ -9484,22 +8973,19 @@ class CronTrigger(TriggerBase):
     """
 
     _validation = {
-        'trigger_type': {'required': True},
-        'expression': {'required': True, 'min_length': 1, 'pattern': r'[a-zA-Z0-9_]'},
+        "trigger_type": {"required": True},
+        "expression": {"required": True, "min_length": 1, "pattern": r"[a-zA-Z0-9_]"},
     }
 
     _attribute_map = {
-        'end_time': {'key': 'endTime', 'type': 'str'},
-        'start_time': {'key': 'startTime', 'type': 'str'},
-        'time_zone': {'key': 'timeZone', 'type': 'str'},
-        'trigger_type': {'key': 'triggerType', 'type': 'str'},
-        'expression': {'key': 'expression', 'type': 'str'},
+        "end_time": {"key": "endTime", "type": "str"},
+        "start_time": {"key": "startTime", "type": "str"},
+        "time_zone": {"key": "timeZone", "type": "str"},
+        "trigger_type": {"key": "triggerType", "type": "str"},
+        "expression": {"key": "expression", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword end_time: Specifies end time of schedule in ISO 8601, but without a UTC offset. Refer
          https://en.wikipedia.org/wiki/ISO_8601.
@@ -9518,8 +9004,8 @@ def __init__(
         :paramtype expression: str
         """
         super(CronTrigger, self).__init__(**kwargs)
-        self.trigger_type = 'Cron'  # type: str
-        self.expression = kwargs['expression']
+        self.trigger_type = "Cron"  # type: str
+        self.expression = kwargs["expression"]
 
 
 class CsvExportSummary(ExportSummary):
@@ -9547,33 +9033,29 @@ class CsvExportSummary(ExportSummary):
     """
 
     _validation = {
-        'end_date_time': {'readonly': True},
-        'exported_row_count': {'readonly': True},
-        'format': {'required': True},
-        'labeling_job_id': {'readonly': True},
-        'start_date_time': {'readonly': True},
-        'container_name': {'readonly': True},
-        'snapshot_path': {'readonly': True},
+        "end_date_time": {"readonly": True},
+        "exported_row_count": {"readonly": True},
+        "format": {"required": True},
+        "labeling_job_id": {"readonly": True},
+        "start_date_time": {"readonly": True},
+        "container_name": {"readonly": True},
+        "snapshot_path": {"readonly": True},
     }
 
     _attribute_map = {
-        'end_date_time': {'key': 'endDateTime', 'type': 'iso-8601'},
-        'exported_row_count': {'key': 'exportedRowCount', 'type': 'long'},
-        'format': {'key': 'format', 'type': 'str'},
-        'labeling_job_id': {'key': 'labelingJobId', 'type': 'str'},
-        'start_date_time': {'key': 'startDateTime', 'type': 'iso-8601'},
-        'container_name': {'key': 'containerName', 'type': 'str'},
-        'snapshot_path': {'key': 'snapshotPath', 'type': 'str'},
+        "end_date_time": {"key": "endDateTime", "type": "iso-8601"},
+        "exported_row_count": {"key": "exportedRowCount", "type": "long"},
+        "format": {"key": "format", "type": "str"},
+        "labeling_job_id": {"key": "labelingJobId", "type": "str"},
+        "start_date_time": {"key": "startDateTime", "type": "iso-8601"},
+        "container_name": {"key": "containerName", "type": "str"},
+        "snapshot_path": {"key": "snapshotPath", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
-        """
-        """
+    def __init__(self, **kwargs):
+        """ """
         super(CsvExportSummary, self).__init__(**kwargs)
-        self.format = 'CSV'  # type: str
+        self.format = "CSV"  # type: str
         self.container_name = None
         self.snapshot_path = None
 
@@ -9591,26 +9073,23 @@ class CustomForecastHorizon(ForecastHorizon):
     """
 
     _validation = {
-        'mode': {'required': True},
-        'value': {'required': True},
+        "mode": {"required": True},
+        "value": {"required": True},
     }
 
     _attribute_map = {
-        'mode': {'key': 'mode', 'type': 'str'},
-        'value': {'key': 'value', 'type': 'int'},
+        "mode": {"key": "mode", "type": "str"},
+        "value": {"key": "value", "type": "int"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword value: Required. [Required] Forecast horizon value.
         :paramtype value: int
         """
         super(CustomForecastHorizon, self).__init__(**kwargs)
-        self.mode = 'Custom'  # type: str
-        self.value = kwargs['value']
+        self.mode = "Custom"  # type: str
+        self.value = kwargs["value"]
 
 
 class CustomInferencingServer(InferencingServer):
@@ -9627,26 +9106,23 @@ class CustomInferencingServer(InferencingServer):
     """
 
     _validation = {
-        'server_type': {'required': True},
+        "server_type": {"required": True},
     }
 
     _attribute_map = {
-        'server_type': {'key': 'serverType', 'type': 'str'},
-        'inference_configuration': {'key': 'inferenceConfiguration', 'type': 'OnlineInferenceConfiguration'},
+        "server_type": {"key": "serverType", "type": "str"},
+        "inference_configuration": {"key": "inferenceConfiguration", "type": "OnlineInferenceConfiguration"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword inference_configuration: Inference configuration for custom inferencing.
         :paramtype inference_configuration:
          ~azure.mgmt.machinelearningservices.models.OnlineInferenceConfiguration
         """
         super(CustomInferencingServer, self).__init__(**kwargs)
-        self.server_type = 'Custom'  # type: str
-        self.inference_configuration = kwargs.get('inference_configuration', None)
+        self.server_type = "Custom"  # type: str
+        self.inference_configuration = kwargs.get("inference_configuration", None)
 
 
 class CustomKeys(msrest.serialization.Model):
@@ -9657,96 +9133,90 @@ class CustomKeys(msrest.serialization.Model):
     """
 
     _attribute_map = {
-        'keys': {'key': 'keys', 'type': '{str}'},
+        "keys": {"key": "keys", "type": "{str}"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword keys: Dictionary of :code:`<string>`.
         :paramtype keys: dict[str, str]
         """
         super(CustomKeys, self).__init__(**kwargs)
-        self.keys = kwargs.get('keys', None)
+        self.keys = kwargs.get("keys", None)
 
 
 class CustomKeysWorkspaceConnectionProperties(WorkspaceConnectionPropertiesV2):
     """Category:= CustomKeys
-AuthType:= CustomKeys (as type discriminator)
-Credentials:= {CustomKeys} as Microsoft.MachineLearning.AccountRP.Contracts.WorkspaceConnection.CustomKeys
-Target:= {any value}
-Use Metadata property bag for ApiVersion and other metadata fields.
-
-    Variables are only populated by the server, and will be ignored when sending a request.
-
-    All required parameters must be populated in order to send to Azure.
-
-    :ivar auth_type: Required. Authentication type of the connection target.Constant filled by
-     server. Possible values include: "PAT", "ManagedIdentity", "UsernamePassword", "None", "SAS",
-     "AccountKey", "ServicePrincipal", "AccessKey", "ApiKey", "CustomKeys", "OAuth2", "AAD".
-    :vartype auth_type: str or ~azure.mgmt.machinelearningservices.models.ConnectionAuthType
-    :ivar category: Category of the connection. Possible values include: "PythonFeed",
-     "ContainerRegistry", "Git", "S3", "Snowflake", "AzureSqlDb", "AzureSynapseAnalytics",
-     "AzureMySqlDb", "AzurePostgresDb", "ADLSGen2", "Redis", "ApiKey", "AzureOpenAI",
-     "CognitiveSearch", "CognitiveService", "CustomKeys", "AzureBlob", "AzureOneLake", "CosmosDb",
-     "CosmosDbMongoDbApi", "AzureDataExplorer", "AzureMariaDb", "AzureDatabricksDeltaLake",
-     "AzureSqlMi", "AzureTableStorage", "AmazonRdsForOracle", "AmazonRdsForSqlServer",
-     "AmazonRedshift", "Db2", "Drill", "GoogleBigQuery", "Greenplum", "Hbase", "Hive", "Impala",
-     "Informix", "MariaDb", "MicrosoftAccess", "MySql", "Netezza", "Oracle", "Phoenix",
-     "PostgreSql", "Presto", "SapOpenHub", "SapBw", "SapHana", "SapTable", "Spark", "SqlServer",
-     "Sybase", "Teradata", "Vertica", "Cassandra", "Couchbase", "MongoDbV2", "MongoDbAtlas",
-     "AmazonS3Compatible", "FileServer", "FtpServer", "GoogleCloudStorage", "Hdfs",
-     "OracleCloudStorage", "Sftp", "GenericHttp", "ODataRest", "Odbc", "GenericRest", "AmazonMws",
-     "Concur", "Dynamics", "DynamicsAx", "DynamicsCrm", "GoogleAdWords", "Hubspot", "Jira",
-     "Magento", "Marketo", "Office365", "Eloqua", "Responsys", "OracleServiceCloud", "PayPal",
-     "QuickBooks", "Salesforce", "SalesforceServiceCloud", "SalesforceMarketingCloud",
-     "SapCloudForCustomer", "SapEcc", "ServiceNow", "SharePointOnlineList", "Shopify", "Square",
-     "WebTable", "Xero", "Zoho", "GenericContainerRegistry".
-    :vartype category: str or ~azure.mgmt.machinelearningservices.models.ConnectionCategory
-    :ivar created_by_workspace_arm_id:
-    :vartype created_by_workspace_arm_id: str
-    :ivar expiry_time:
-    :vartype expiry_time: ~datetime.datetime
-    :ivar group: Group based on connection category. Possible values include: "Azure", "AzureAI",
-     "Database", "NoSQL", "File", "GenericProtocol", "ServicesAndApps".
-    :vartype group: str or ~azure.mgmt.machinelearningservices.models.ConnectionGroup
-    :ivar is_shared_to_all:
-    :vartype is_shared_to_all: bool
-    :ivar metadata: Any object.
-    :vartype metadata: any
-    :ivar shared_user_list:
-    :vartype shared_user_list: list[str]
-    :ivar target:
-    :vartype target: str
-    :ivar credentials: Custom Keys credential object.
-    :vartype credentials: ~azure.mgmt.machinelearningservices.models.CustomKeys
-    """
+    AuthType:= CustomKeys (as type discriminator)
+    Credentials:= {CustomKeys} as Microsoft.MachineLearning.AccountRP.Contracts.WorkspaceConnection.CustomKeys
+    Target:= {any value}
+    Use Metadata property bag for ApiVersion and other metadata fields.
 
-    _validation = {
-        'auth_type': {'required': True},
-        'created_by_workspace_arm_id': {'readonly': True},
-        'group': {'readonly': True},
-    }
+        Variables are only populated by the server, and will be ignored when sending a request.
 
-    _attribute_map = {
-        'auth_type': {'key': 'authType', 'type': 'str'},
-        'category': {'key': 'category', 'type': 'str'},
-        'created_by_workspace_arm_id': {'key': 'createdByWorkspaceArmId', 'type': 'str'},
-        'expiry_time': {'key': 'expiryTime', 'type': 'iso-8601'},
-        'group': {'key': 'group', 'type': 'str'},
-        'is_shared_to_all': {'key': 'isSharedToAll', 'type': 'bool'},
-        'metadata': {'key': 'metadata', 'type': 'object'},
-        'shared_user_list': {'key': 'sharedUserList', 'type': '[str]'},
-        'target': {'key': 'target', 'type': 'str'},
-        'credentials': {'key': 'credentials', 'type': 'CustomKeys'},
-    }
+        All required parameters must be populated in order to send to Azure.
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+        :ivar auth_type: Required. Authentication type of the connection target.Constant filled by
+         server. Possible values include: "PAT", "ManagedIdentity", "UsernamePassword", "None", "SAS",
+         "AccountKey", "ServicePrincipal", "AccessKey", "ApiKey", "CustomKeys", "OAuth2", "AAD".
+        :vartype auth_type: str or ~azure.mgmt.machinelearningservices.models.ConnectionAuthType
+        :ivar category: Category of the connection. Possible values include: "PythonFeed",
+         "ContainerRegistry", "Git", "S3", "Snowflake", "AzureSqlDb", "AzureSynapseAnalytics",
+         "AzureMySqlDb", "AzurePostgresDb", "ADLSGen2", "Redis", "ApiKey", "AzureOpenAI",
+         "CognitiveSearch", "CognitiveService", "CustomKeys", "AzureBlob", "AzureOneLake", "CosmosDb",
+         "CosmosDbMongoDbApi", "AzureDataExplorer", "AzureMariaDb", "AzureDatabricksDeltaLake",
+         "AzureSqlMi", "AzureTableStorage", "AmazonRdsForOracle", "AmazonRdsForSqlServer",
+         "AmazonRedshift", "Db2", "Drill", "GoogleBigQuery", "Greenplum", "Hbase", "Hive", "Impala",
+         "Informix", "MariaDb", "MicrosoftAccess", "MySql", "Netezza", "Oracle", "Phoenix",
+         "PostgreSql", "Presto", "SapOpenHub", "SapBw", "SapHana", "SapTable", "Spark", "SqlServer",
+         "Sybase", "Teradata", "Vertica", "Cassandra", "Couchbase", "MongoDbV2", "MongoDbAtlas",
+         "AmazonS3Compatible", "FileServer", "FtpServer", "GoogleCloudStorage", "Hdfs",
+         "OracleCloudStorage", "Sftp", "GenericHttp", "ODataRest", "Odbc", "GenericRest", "AmazonMws",
+         "Concur", "Dynamics", "DynamicsAx", "DynamicsCrm", "GoogleAdWords", "Hubspot", "Jira",
+         "Magento", "Marketo", "Office365", "Eloqua", "Responsys", "OracleServiceCloud", "PayPal",
+         "QuickBooks", "Salesforce", "SalesforceServiceCloud", "SalesforceMarketingCloud",
+         "SapCloudForCustomer", "SapEcc", "ServiceNow", "SharePointOnlineList", "Shopify", "Square",
+         "WebTable", "Xero", "Zoho", "GenericContainerRegistry".
+        :vartype category: str or ~azure.mgmt.machinelearningservices.models.ConnectionCategory
+        :ivar created_by_workspace_arm_id:
+        :vartype created_by_workspace_arm_id: str
+        :ivar expiry_time:
+        :vartype expiry_time: ~datetime.datetime
+        :ivar group: Group based on connection category. Possible values include: "Azure", "AzureAI",
+         "Database", "NoSQL", "File", "GenericProtocol", "ServicesAndApps".
+        :vartype group: str or ~azure.mgmt.machinelearningservices.models.ConnectionGroup
+        :ivar is_shared_to_all:
+        :vartype is_shared_to_all: bool
+        :ivar metadata: Any object.
+        :vartype metadata: any
+        :ivar shared_user_list:
+        :vartype shared_user_list: list[str]
+        :ivar target:
+        :vartype target: str
+        :ivar credentials: Custom Keys credential object.
+        :vartype credentials: ~azure.mgmt.machinelearningservices.models.CustomKeys
+    """
+
+    _validation = {
+        "auth_type": {"required": True},
+        "created_by_workspace_arm_id": {"readonly": True},
+        "group": {"readonly": True},
+    }
+
+    _attribute_map = {
+        "auth_type": {"key": "authType", "type": "str"},
+        "category": {"key": "category", "type": "str"},
+        "created_by_workspace_arm_id": {"key": "createdByWorkspaceArmId", "type": "str"},
+        "expiry_time": {"key": "expiryTime", "type": "iso-8601"},
+        "group": {"key": "group", "type": "str"},
+        "is_shared_to_all": {"key": "isSharedToAll", "type": "bool"},
+        "metadata": {"key": "metadata", "type": "object"},
+        "shared_user_list": {"key": "sharedUserList", "type": "[str]"},
+        "target": {"key": "target", "type": "str"},
+        "credentials": {"key": "credentials", "type": "CustomKeys"},
+    }
+
+    def __init__(self, **kwargs):
         """
         :keyword category: Category of the connection. Possible values include: "PythonFeed",
          "ContainerRegistry", "Git", "S3", "Snowflake", "AzureSqlDb", "AzureSynapseAnalytics",
@@ -9780,8 +9250,8 @@ def __init__(
         :paramtype credentials: ~azure.mgmt.machinelearningservices.models.CustomKeys
         """
         super(CustomKeysWorkspaceConnectionProperties, self).__init__(**kwargs)
-        self.auth_type = 'CustomKeys'  # type: str
-        self.credentials = kwargs.get('credentials', None)
+        self.auth_type = "CustomKeys"  # type: str
+        self.credentials = kwargs.get("credentials", None)
 
 
 class CustomMetricThreshold(msrest.serialization.Model):
@@ -9797,18 +9267,15 @@ class CustomMetricThreshold(msrest.serialization.Model):
     """
 
     _validation = {
-        'metric': {'required': True, 'min_length': 1, 'pattern': r'[a-zA-Z0-9_]'},
+        "metric": {"required": True, "min_length": 1, "pattern": r"[a-zA-Z0-9_]"},
     }
 
     _attribute_map = {
-        'metric': {'key': 'metric', 'type': 'str'},
-        'threshold': {'key': 'threshold', 'type': 'MonitoringThreshold'},
+        "metric": {"key": "metric", "type": "str"},
+        "threshold": {"key": "threshold", "type": "MonitoringThreshold"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword metric: Required. [Required] The user-defined metric to calculate.
         :paramtype metric: str
@@ -9817,8 +9284,8 @@ def __init__(
         :paramtype threshold: ~azure.mgmt.machinelearningservices.models.MonitoringThreshold
         """
         super(CustomMetricThreshold, self).__init__(**kwargs)
-        self.metric = kwargs['metric']
-        self.threshold = kwargs.get('threshold', None)
+        self.metric = kwargs["metric"]
+        self.threshold = kwargs.get("threshold", None)
 
 
 class CustomModelFineTuning(FineTuningVertical):
@@ -9845,25 +9312,22 @@ class CustomModelFineTuning(FineTuningVertical):
     """
 
     _validation = {
-        'model': {'required': True},
-        'model_provider': {'required': True},
-        'task_type': {'required': True},
-        'training_data': {'required': True},
+        "model": {"required": True},
+        "model_provider": {"required": True},
+        "task_type": {"required": True},
+        "training_data": {"required": True},
     }
 
     _attribute_map = {
-        'model': {'key': 'model', 'type': 'MLFlowModelJobInput'},
-        'model_provider': {'key': 'modelProvider', 'type': 'str'},
-        'task_type': {'key': 'taskType', 'type': 'str'},
-        'training_data': {'key': 'trainingData', 'type': 'JobInput'},
-        'validation_data': {'key': 'validationData', 'type': 'JobInput'},
-        'hyper_parameters': {'key': 'hyperParameters', 'type': '{str}'},
+        "model": {"key": "model", "type": "MLFlowModelJobInput"},
+        "model_provider": {"key": "modelProvider", "type": "str"},
+        "task_type": {"key": "taskType", "type": "str"},
+        "training_data": {"key": "trainingData", "type": "JobInput"},
+        "validation_data": {"key": "validationData", "type": "JobInput"},
+        "hyper_parameters": {"key": "hyperParameters", "type": "{str}"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword model: Required. [Required] Input model for fine tuning.
         :paramtype model: ~azure.mgmt.machinelearningservices.models.MLFlowModelJobInput
@@ -9880,8 +9344,8 @@ def __init__(
         :paramtype hyper_parameters: dict[str, str]
         """
         super(CustomModelFineTuning, self).__init__(**kwargs)
-        self.model_provider = 'Custom'  # type: str
-        self.hyper_parameters = kwargs.get('hyper_parameters', None)
+        self.model_provider = "Custom"  # type: str
+        self.hyper_parameters = kwargs.get("hyper_parameters", None)
 
 
 class JobInput(msrest.serialization.Model):
@@ -9901,31 +9365,33 @@ class JobInput(msrest.serialization.Model):
     """
 
     _validation = {
-        'job_input_type': {'required': True},
+        "job_input_type": {"required": True},
     }
 
     _attribute_map = {
-        'description': {'key': 'description', 'type': 'str'},
-        'job_input_type': {'key': 'jobInputType', 'type': 'str'},
+        "description": {"key": "description", "type": "str"},
+        "job_input_type": {"key": "jobInputType", "type": "str"},
     }
 
     _subtype_map = {
-        'job_input_type': {'custom_model': 'CustomModelJobInput', 'literal': 'LiteralJobInput',
-                           'mlflow_model': 'MLFlowModelJobInput', 'mltable': 'MLTableJobInput',
-                           'triton_model': 'TritonModelJobInput', 'uri_file': 'UriFileJobInput',
-                           'uri_folder': 'UriFolderJobInput'}
+        "job_input_type": {
+            "custom_model": "CustomModelJobInput",
+            "literal": "LiteralJobInput",
+            "mlflow_model": "MLFlowModelJobInput",
+            "mltable": "MLTableJobInput",
+            "triton_model": "TritonModelJobInput",
+            "uri_file": "UriFileJobInput",
+            "uri_folder": "UriFolderJobInput",
+        }
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword description: Description for the input.
         :paramtype description: str
         """
         super(JobInput, self).__init__(**kwargs)
-        self.description = kwargs.get('description', None)
+        self.description = kwargs.get("description", None)
         self.job_input_type = None  # type: Optional[str]
 
 
@@ -9950,22 +9416,19 @@ class CustomModelJobInput(JobInput, AssetJobInput):
     """
 
     _validation = {
-        'uri': {'required': True, 'min_length': 1, 'pattern': r'[a-zA-Z0-9_]'},
-        'job_input_type': {'required': True},
+        "uri": {"required": True, "min_length": 1, "pattern": r"[a-zA-Z0-9_]"},
+        "job_input_type": {"required": True},
     }
 
     _attribute_map = {
-        'mode': {'key': 'mode', 'type': 'str'},
-        'path_on_compute': {'key': 'pathOnCompute', 'type': 'str'},
-        'uri': {'key': 'uri', 'type': 'str'},
-        'description': {'key': 'description', 'type': 'str'},
-        'job_input_type': {'key': 'jobInputType', 'type': 'str'},
+        "mode": {"key": "mode", "type": "str"},
+        "path_on_compute": {"key": "pathOnCompute", "type": "str"},
+        "uri": {"key": "uri", "type": "str"},
+        "description": {"key": "description", "type": "str"},
+        "job_input_type": {"key": "jobInputType", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword mode: Input Asset Delivery Mode. Possible values include: "ReadOnlyMount",
          "ReadWriteMount", "Download", "Direct", "EvalMount", "EvalDownload".
@@ -9978,11 +9441,11 @@ def __init__(
         :paramtype description: str
         """
         super(CustomModelJobInput, self).__init__(**kwargs)
-        self.mode = kwargs.get('mode', None)
-        self.path_on_compute = kwargs.get('path_on_compute', None)
-        self.uri = kwargs['uri']
-        self.job_input_type = 'custom_model'  # type: str
-        self.description = kwargs.get('description', None)
+        self.mode = kwargs.get("mode", None)
+        self.path_on_compute = kwargs.get("path_on_compute", None)
+        self.uri = kwargs["uri"]
+        self.job_input_type = "custom_model"  # type: str
+        self.description = kwargs.get("description", None)
 
 
 class JobOutput(msrest.serialization.Model):
@@ -10002,30 +9465,32 @@ class JobOutput(msrest.serialization.Model):
     """
 
     _validation = {
-        'job_output_type': {'required': True},
+        "job_output_type": {"required": True},
     }
 
     _attribute_map = {
-        'description': {'key': 'description', 'type': 'str'},
-        'job_output_type': {'key': 'jobOutputType', 'type': 'str'},
+        "description": {"key": "description", "type": "str"},
+        "job_output_type": {"key": "jobOutputType", "type": "str"},
     }
 
     _subtype_map = {
-        'job_output_type': {'custom_model': 'CustomModelJobOutput', 'mlflow_model': 'MLFlowModelJobOutput',
-                            'mltable': 'MLTableJobOutput', 'triton_model': 'TritonModelJobOutput',
-                            'uri_file': 'UriFileJobOutput', 'uri_folder': 'UriFolderJobOutput'}
+        "job_output_type": {
+            "custom_model": "CustomModelJobOutput",
+            "mlflow_model": "MLFlowModelJobOutput",
+            "mltable": "MLTableJobOutput",
+            "triton_model": "TritonModelJobOutput",
+            "uri_file": "UriFileJobOutput",
+            "uri_folder": "UriFolderJobOutput",
+        }
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword description: Description for the output.
         :paramtype description: str
         """
         super(JobOutput, self).__init__(**kwargs)
-        self.description = kwargs.get('description', None)
+        self.description = kwargs.get("description", None)
         self.job_output_type = None  # type: Optional[str]
 
 
@@ -10056,24 +9521,21 @@ class CustomModelJobOutput(JobOutput, AssetJobOutput):
     """
 
     _validation = {
-        'job_output_type': {'required': True},
+        "job_output_type": {"required": True},
     }
 
     _attribute_map = {
-        'asset_name': {'key': 'assetName', 'type': 'str'},
-        'asset_version': {'key': 'assetVersion', 'type': 'str'},
-        'auto_delete_setting': {'key': 'autoDeleteSetting', 'type': 'AutoDeleteSetting'},
-        'mode': {'key': 'mode', 'type': 'str'},
-        'path_on_compute': {'key': 'pathOnCompute', 'type': 'str'},
-        'uri': {'key': 'uri', 'type': 'str'},
-        'description': {'key': 'description', 'type': 'str'},
-        'job_output_type': {'key': 'jobOutputType', 'type': 'str'},
+        "asset_name": {"key": "assetName", "type": "str"},
+        "asset_version": {"key": "assetVersion", "type": "str"},
+        "auto_delete_setting": {"key": "autoDeleteSetting", "type": "AutoDeleteSetting"},
+        "mode": {"key": "mode", "type": "str"},
+        "path_on_compute": {"key": "pathOnCompute", "type": "str"},
+        "uri": {"key": "uri", "type": "str"},
+        "description": {"key": "description", "type": "str"},
+        "job_output_type": {"key": "jobOutputType", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword asset_name: Output Asset Name.
         :paramtype asset_name: str
@@ -10092,14 +9554,14 @@ def __init__(
         :paramtype description: str
         """
         super(CustomModelJobOutput, self).__init__(**kwargs)
-        self.asset_name = kwargs.get('asset_name', None)
-        self.asset_version = kwargs.get('asset_version', None)
-        self.auto_delete_setting = kwargs.get('auto_delete_setting', None)
-        self.mode = kwargs.get('mode', None)
-        self.path_on_compute = kwargs.get('path_on_compute', None)
-        self.uri = kwargs.get('uri', None)
-        self.job_output_type = 'custom_model'  # type: str
-        self.description = kwargs.get('description', None)
+        self.asset_name = kwargs.get("asset_name", None)
+        self.asset_version = kwargs.get("asset_version", None)
+        self.auto_delete_setting = kwargs.get("auto_delete_setting", None)
+        self.mode = kwargs.get("mode", None)
+        self.path_on_compute = kwargs.get("path_on_compute", None)
+        self.uri = kwargs.get("uri", None)
+        self.job_output_type = "custom_model"  # type: str
+        self.description = kwargs.get("description", None)
 
 
 class MonitoringSignalBase(msrest.serialization.Model):
@@ -10123,29 +9585,29 @@ class MonitoringSignalBase(msrest.serialization.Model):
     """
 
     _validation = {
-        'signal_type': {'required': True},
+        "signal_type": {"required": True},
     }
 
     _attribute_map = {
-        'notification_types': {'key': 'notificationTypes', 'type': '[str]'},
-        'properties': {'key': 'properties', 'type': '{str}'},
-        'signal_type': {'key': 'signalType', 'type': 'str'},
+        "notification_types": {"key": "notificationTypes", "type": "[str]"},
+        "properties": {"key": "properties", "type": "{str}"},
+        "signal_type": {"key": "signalType", "type": "str"},
     }
 
     _subtype_map = {
-        'signal_type': {'Custom': 'CustomMonitoringSignal', 'DataDrift': 'DataDriftMonitoringSignal',
-                        'DataQuality': 'DataQualityMonitoringSignal',
-                        'FeatureAttributionDrift': 'FeatureAttributionDriftMonitoringSignal',
-                        'GenerationSafetyQuality': 'GenerationSafetyQualityMonitoringSignal',
-                        'GenerationTokenStatistics': 'GenerationTokenUsageSignal',
-                        'ModelPerformance': 'ModelPerformanceSignal',
-                        'PredictionDrift': 'PredictionDriftMonitoringSignal'}
+        "signal_type": {
+            "Custom": "CustomMonitoringSignal",
+            "DataDrift": "DataDriftMonitoringSignal",
+            "DataQuality": "DataQualityMonitoringSignal",
+            "FeatureAttributionDrift": "FeatureAttributionDriftMonitoringSignal",
+            "GenerationSafetyQuality": "GenerationSafetyQualityMonitoringSignal",
+            "GenerationTokenStatistics": "GenerationTokenUsageSignal",
+            "ModelPerformance": "ModelPerformanceSignal",
+            "PredictionDrift": "PredictionDriftMonitoringSignal",
+        }
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword notification_types: The current notification mode for this signal.
         :paramtype notification_types: list[str or
@@ -10154,8 +9616,8 @@ def __init__(
         :paramtype properties: dict[str, str]
         """
         super(MonitoringSignalBase, self).__init__(**kwargs)
-        self.notification_types = kwargs.get('notification_types', None)
-        self.properties = kwargs.get('properties', None)
+        self.notification_types = kwargs.get("notification_types", None)
+        self.properties = kwargs.get("properties", None)
         self.signal_type = None  # type: Optional[str]
 
 
@@ -10194,26 +9656,23 @@ class CustomMonitoringSignal(MonitoringSignalBase):
     """
 
     _validation = {
-        'signal_type': {'required': True},
-        'component_id': {'required': True, 'min_length': 1, 'pattern': r'[a-zA-Z0-9_]'},
-        'metric_thresholds': {'required': True},
+        "signal_type": {"required": True},
+        "component_id": {"required": True, "min_length": 1, "pattern": r"[a-zA-Z0-9_]"},
+        "metric_thresholds": {"required": True},
     }
 
     _attribute_map = {
-        'notification_types': {'key': 'notificationTypes', 'type': '[str]'},
-        'properties': {'key': 'properties', 'type': '{str}'},
-        'signal_type': {'key': 'signalType', 'type': 'str'},
-        'component_id': {'key': 'componentId', 'type': 'str'},
-        'input_assets': {'key': 'inputAssets', 'type': '{MonitoringInputDataBase}'},
-        'inputs': {'key': 'inputs', 'type': '{JobInput}'},
-        'metric_thresholds': {'key': 'metricThresholds', 'type': '[CustomMetricThreshold]'},
-        'workspace_connection': {'key': 'workspaceConnection', 'type': 'MonitoringWorkspaceConnection'},
+        "notification_types": {"key": "notificationTypes", "type": "[str]"},
+        "properties": {"key": "properties", "type": "{str}"},
+        "signal_type": {"key": "signalType", "type": "str"},
+        "component_id": {"key": "componentId", "type": "str"},
+        "input_assets": {"key": "inputAssets", "type": "{MonitoringInputDataBase}"},
+        "inputs": {"key": "inputs", "type": "{JobInput}"},
+        "metric_thresholds": {"key": "metricThresholds", "type": "[CustomMetricThreshold]"},
+        "workspace_connection": {"key": "workspaceConnection", "type": "MonitoringWorkspaceConnection"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword notification_types: The current notification mode for this signal.
         :paramtype notification_types: list[str or
@@ -10239,12 +9698,12 @@ def __init__(
          ~azure.mgmt.machinelearningservices.models.MonitoringWorkspaceConnection
         """
         super(CustomMonitoringSignal, self).__init__(**kwargs)
-        self.signal_type = 'Custom'  # type: str
-        self.component_id = kwargs['component_id']
-        self.input_assets = kwargs.get('input_assets', None)
-        self.inputs = kwargs.get('inputs', None)
-        self.metric_thresholds = kwargs['metric_thresholds']
-        self.workspace_connection = kwargs.get('workspace_connection', None)
+        self.signal_type = "Custom"  # type: str
+        self.component_id = kwargs["component_id"]
+        self.input_assets = kwargs.get("input_assets", None)
+        self.inputs = kwargs.get("inputs", None)
+        self.metric_thresholds = kwargs["metric_thresholds"]
+        self.workspace_connection = kwargs.get("workspace_connection", None)
 
 
 class CustomNCrossValidations(NCrossValidations):
@@ -10260,26 +9719,23 @@ class CustomNCrossValidations(NCrossValidations):
     """
 
     _validation = {
-        'mode': {'required': True},
-        'value': {'required': True},
+        "mode": {"required": True},
+        "value": {"required": True},
     }
 
     _attribute_map = {
-        'mode': {'key': 'mode', 'type': 'str'},
-        'value': {'key': 'value', 'type': 'int'},
+        "mode": {"key": "mode", "type": "str"},
+        "value": {"key": "value", "type": "int"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword value: Required. [Required] N-Cross validations value.
         :paramtype value: int
         """
         super(CustomNCrossValidations, self).__init__(**kwargs)
-        self.mode = 'Custom'  # type: str
-        self.value = kwargs['value']
+        self.mode = "Custom"  # type: str
+        self.value = kwargs["value"]
 
 
 class CustomSeasonality(Seasonality):
@@ -10295,26 +9751,23 @@ class CustomSeasonality(Seasonality):
     """
 
     _validation = {
-        'mode': {'required': True},
-        'value': {'required': True},
+        "mode": {"required": True},
+        "value": {"required": True},
     }
 
     _attribute_map = {
-        'mode': {'key': 'mode', 'type': 'str'},
-        'value': {'key': 'value', 'type': 'int'},
+        "mode": {"key": "mode", "type": "str"},
+        "value": {"key": "value", "type": "int"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword value: Required. [Required] Seasonality value.
         :paramtype value: int
         """
         super(CustomSeasonality, self).__init__(**kwargs)
-        self.mode = 'Custom'  # type: str
-        self.value = kwargs['value']
+        self.mode = "Custom"  # type: str
+        self.value = kwargs["value"]
 
 
 class CustomService(msrest.serialization.Model):
@@ -10341,20 +9794,17 @@ class CustomService(msrest.serialization.Model):
     """
 
     _attribute_map = {
-        'additional_properties': {'key': '', 'type': '{object}'},
-        'name': {'key': 'name', 'type': 'str'},
-        'image': {'key': 'image', 'type': 'Image'},
-        'environment_variables': {'key': 'environmentVariables', 'type': '{EnvironmentVariable}'},
-        'docker': {'key': 'docker', 'type': 'Docker'},
-        'endpoints': {'key': 'endpoints', 'type': '[Endpoint]'},
-        'volumes': {'key': 'volumes', 'type': '[VolumeDefinition]'},
-        'kernel': {'key': 'kernel', 'type': 'JupyterKernelConfig'},
+        "additional_properties": {"key": "", "type": "{object}"},
+        "name": {"key": "name", "type": "str"},
+        "image": {"key": "image", "type": "Image"},
+        "environment_variables": {"key": "environmentVariables", "type": "{EnvironmentVariable}"},
+        "docker": {"key": "docker", "type": "Docker"},
+        "endpoints": {"key": "endpoints", "type": "[Endpoint]"},
+        "volumes": {"key": "volumes", "type": "[VolumeDefinition]"},
+        "kernel": {"key": "kernel", "type": "JupyterKernelConfig"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword additional_properties: Unmatched properties from the message are deserialized to this
          collection.
@@ -10377,14 +9827,14 @@ def __init__(
         :paramtype kernel: ~azure.mgmt.machinelearningservices.models.JupyterKernelConfig
         """
         super(CustomService, self).__init__(**kwargs)
-        self.additional_properties = kwargs.get('additional_properties', None)
-        self.name = kwargs.get('name', None)
-        self.image = kwargs.get('image', None)
-        self.environment_variables = kwargs.get('environment_variables', None)
-        self.docker = kwargs.get('docker', None)
-        self.endpoints = kwargs.get('endpoints', None)
-        self.volumes = kwargs.get('volumes', None)
-        self.kernel = kwargs.get('kernel', None)
+        self.additional_properties = kwargs.get("additional_properties", None)
+        self.name = kwargs.get("name", None)
+        self.image = kwargs.get("image", None)
+        self.environment_variables = kwargs.get("environment_variables", None)
+        self.docker = kwargs.get("docker", None)
+        self.endpoints = kwargs.get("endpoints", None)
+        self.volumes = kwargs.get("volumes", None)
+        self.kernel = kwargs.get("kernel", None)
 
 
 class CustomTargetLags(TargetLags):
@@ -10400,26 +9850,23 @@ class CustomTargetLags(TargetLags):
     """
 
     _validation = {
-        'mode': {'required': True},
-        'values': {'required': True},
+        "mode": {"required": True},
+        "values": {"required": True},
     }
 
     _attribute_map = {
-        'mode': {'key': 'mode', 'type': 'str'},
-        'values': {'key': 'values', 'type': '[int]'},
+        "mode": {"key": "mode", "type": "str"},
+        "values": {"key": "values", "type": "[int]"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword values: Required. [Required] Set target lags values.
         :paramtype values: list[int]
         """
         super(CustomTargetLags, self).__init__(**kwargs)
-        self.mode = 'Custom'  # type: str
-        self.values = kwargs['values']
+        self.mode = "Custom"  # type: str
+        self.values = kwargs["values"]
 
 
 class CustomTargetRollingWindowSize(TargetRollingWindowSize):
@@ -10435,26 +9882,23 @@ class CustomTargetRollingWindowSize(TargetRollingWindowSize):
     """
 
     _validation = {
-        'mode': {'required': True},
-        'value': {'required': True},
+        "mode": {"required": True},
+        "value": {"required": True},
     }
 
     _attribute_map = {
-        'mode': {'key': 'mode', 'type': 'str'},
-        'value': {'key': 'value', 'type': 'int'},
+        "mode": {"key": "mode", "type": "str"},
+        "value": {"key": "value", "type": "int"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword value: Required. [Required] TargetRollingWindowSize value.
         :paramtype value: int
         """
         super(CustomTargetRollingWindowSize, self).__init__(**kwargs)
-        self.mode = 'Custom'  # type: str
-        self.value = kwargs['value']
+        self.mode = "Custom"  # type: str
+        self.value = kwargs["value"]
 
 
 class DataImportSource(msrest.serialization.Model):
@@ -10473,28 +9917,23 @@ class DataImportSource(msrest.serialization.Model):
     """
 
     _validation = {
-        'source_type': {'required': True},
+        "source_type": {"required": True},
     }
 
     _attribute_map = {
-        'connection': {'key': 'connection', 'type': 'str'},
-        'source_type': {'key': 'sourceType', 'type': 'str'},
+        "connection": {"key": "connection", "type": "str"},
+        "source_type": {"key": "sourceType", "type": "str"},
     }
 
-    _subtype_map = {
-        'source_type': {'database': 'DatabaseSource', 'file_system': 'FileSystemSource'}
-    }
+    _subtype_map = {"source_type": {"database": "DatabaseSource", "file_system": "FileSystemSource"}}
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword connection: Workspace connection for data import source storage.
         :paramtype connection: str
         """
         super(DataImportSource, self).__init__(**kwargs)
-        self.connection = kwargs.get('connection', None)
+        self.connection = kwargs.get("connection", None)
         self.source_type = None  # type: Optional[str]
 
 
@@ -10519,22 +9958,19 @@ class DatabaseSource(DataImportSource):
     """
 
     _validation = {
-        'source_type': {'required': True},
+        "source_type": {"required": True},
     }
 
     _attribute_map = {
-        'connection': {'key': 'connection', 'type': 'str'},
-        'source_type': {'key': 'sourceType', 'type': 'str'},
-        'query': {'key': 'query', 'type': 'str'},
-        'stored_procedure': {'key': 'storedProcedure', 'type': 'str'},
-        'stored_procedure_params': {'key': 'storedProcedureParams', 'type': '[{str}]'},
-        'table_name': {'key': 'tableName', 'type': 'str'},
+        "connection": {"key": "connection", "type": "str"},
+        "source_type": {"key": "sourceType", "type": "str"},
+        "query": {"key": "query", "type": "str"},
+        "stored_procedure": {"key": "storedProcedure", "type": "str"},
+        "stored_procedure_params": {"key": "storedProcedureParams", "type": "[{str}]"},
+        "table_name": {"key": "tableName", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword connection: Workspace connection for data import source storage.
         :paramtype connection: str
@@ -10548,11 +9984,11 @@ def __init__(
         :paramtype table_name: str
         """
         super(DatabaseSource, self).__init__(**kwargs)
-        self.source_type = 'database'  # type: str
-        self.query = kwargs.get('query', None)
-        self.stored_procedure = kwargs.get('stored_procedure', None)
-        self.stored_procedure_params = kwargs.get('stored_procedure_params', None)
-        self.table_name = kwargs.get('table_name', None)
+        self.source_type = "database"  # type: str
+        self.query = kwargs.get("query", None)
+        self.stored_procedure = kwargs.get("stored_procedure", None)
+        self.stored_procedure_params = kwargs.get("stored_procedure_params", None)
+        self.table_name = kwargs.get("table_name", None)
 
 
 class DatabricksSchema(msrest.serialization.Model):
@@ -10563,19 +9999,16 @@ class DatabricksSchema(msrest.serialization.Model):
     """
 
     _attribute_map = {
-        'properties': {'key': 'properties', 'type': 'DatabricksProperties'},
+        "properties": {"key": "properties", "type": "DatabricksProperties"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword properties: Properties of Databricks.
         :paramtype properties: ~azure.mgmt.machinelearningservices.models.DatabricksProperties
         """
         super(DatabricksSchema, self).__init__(**kwargs)
-        self.properties = kwargs.get('properties', None)
+        self.properties = kwargs.get("properties", None)
 
 
 class Databricks(Compute, DatabricksSchema):
@@ -10617,32 +10050,29 @@ class Databricks(Compute, DatabricksSchema):
     """
 
     _validation = {
-        'compute_type': {'required': True},
-        'provisioning_state': {'readonly': True},
-        'created_on': {'readonly': True},
-        'modified_on': {'readonly': True},
-        'provisioning_errors': {'readonly': True},
-        'is_attached_compute': {'readonly': True},
+        "compute_type": {"required": True},
+        "provisioning_state": {"readonly": True},
+        "created_on": {"readonly": True},
+        "modified_on": {"readonly": True},
+        "provisioning_errors": {"readonly": True},
+        "is_attached_compute": {"readonly": True},
     }
 
     _attribute_map = {
-        'properties': {'key': 'properties', 'type': 'DatabricksProperties'},
-        'compute_type': {'key': 'computeType', 'type': 'str'},
-        'compute_location': {'key': 'computeLocation', 'type': 'str'},
-        'provisioning_state': {'key': 'provisioningState', 'type': 'str'},
-        'description': {'key': 'description', 'type': 'str'},
-        'created_on': {'key': 'createdOn', 'type': 'iso-8601'},
-        'modified_on': {'key': 'modifiedOn', 'type': 'iso-8601'},
-        'resource_id': {'key': 'resourceId', 'type': 'str'},
-        'provisioning_errors': {'key': 'provisioningErrors', 'type': '[ErrorResponse]'},
-        'is_attached_compute': {'key': 'isAttachedCompute', 'type': 'bool'},
-        'disable_local_auth': {'key': 'disableLocalAuth', 'type': 'bool'},
+        "properties": {"key": "properties", "type": "DatabricksProperties"},
+        "compute_type": {"key": "computeType", "type": "str"},
+        "compute_location": {"key": "computeLocation", "type": "str"},
+        "provisioning_state": {"key": "provisioningState", "type": "str"},
+        "description": {"key": "description", "type": "str"},
+        "created_on": {"key": "createdOn", "type": "iso-8601"},
+        "modified_on": {"key": "modifiedOn", "type": "iso-8601"},
+        "resource_id": {"key": "resourceId", "type": "str"},
+        "provisioning_errors": {"key": "provisioningErrors", "type": "[ErrorResponse]"},
+        "is_attached_compute": {"key": "isAttachedCompute", "type": "bool"},
+        "disable_local_auth": {"key": "disableLocalAuth", "type": "bool"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword properties: Properties of Databricks.
         :paramtype properties: ~azure.mgmt.machinelearningservices.models.DatabricksProperties
@@ -10657,17 +10087,17 @@ def __init__(
         :paramtype disable_local_auth: bool
         """
         super(Databricks, self).__init__(**kwargs)
-        self.properties = kwargs.get('properties', None)
-        self.compute_type = 'Databricks'  # type: str
-        self.compute_location = kwargs.get('compute_location', None)
+        self.properties = kwargs.get("properties", None)
+        self.compute_type = "Databricks"  # type: str
+        self.compute_location = kwargs.get("compute_location", None)
         self.provisioning_state = None
-        self.description = kwargs.get('description', None)
+        self.description = kwargs.get("description", None)
         self.created_on = None
         self.modified_on = None
-        self.resource_id = kwargs.get('resource_id', None)
+        self.resource_id = kwargs.get("resource_id", None)
         self.provisioning_errors = None
         self.is_attached_compute = None
-        self.disable_local_auth = kwargs.get('disable_local_auth', None)
+        self.disable_local_auth = kwargs.get("disable_local_auth", None)
 
 
 class DatabricksComputeSecretsProperties(msrest.serialization.Model):
@@ -10678,19 +10108,16 @@ class DatabricksComputeSecretsProperties(msrest.serialization.Model):
     """
 
     _attribute_map = {
-        'databricks_access_token': {'key': 'databricksAccessToken', 'type': 'str'},
+        "databricks_access_token": {"key": "databricksAccessToken", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword databricks_access_token: access token for databricks account.
         :paramtype databricks_access_token: str
         """
         super(DatabricksComputeSecretsProperties, self).__init__(**kwargs)
-        self.databricks_access_token = kwargs.get('databricks_access_token', None)
+        self.databricks_access_token = kwargs.get("databricks_access_token", None)
 
 
 class DatabricksComputeSecrets(ComputeSecrets, DatabricksComputeSecretsProperties):
@@ -10707,25 +10134,22 @@ class DatabricksComputeSecrets(ComputeSecrets, DatabricksComputeSecretsPropertie
     """
 
     _validation = {
-        'compute_type': {'required': True},
+        "compute_type": {"required": True},
     }
 
     _attribute_map = {
-        'databricks_access_token': {'key': 'databricksAccessToken', 'type': 'str'},
-        'compute_type': {'key': 'computeType', 'type': 'str'},
+        "databricks_access_token": {"key": "databricksAccessToken", "type": "str"},
+        "compute_type": {"key": "computeType", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword databricks_access_token: access token for databricks account.
         :paramtype databricks_access_token: str
         """
         super(DatabricksComputeSecrets, self).__init__(**kwargs)
-        self.databricks_access_token = kwargs.get('databricks_access_token', None)
-        self.compute_type = 'Databricks'  # type: str
+        self.databricks_access_token = kwargs.get("databricks_access_token", None)
+        self.compute_type = "Databricks"  # type: str
 
 
 class DatabricksProperties(msrest.serialization.Model):
@@ -10738,14 +10162,11 @@ class DatabricksProperties(msrest.serialization.Model):
     """
 
     _attribute_map = {
-        'databricks_access_token': {'key': 'databricksAccessToken', 'type': 'str'},
-        'workspace_url': {'key': 'workspaceUrl', 'type': 'str'},
+        "databricks_access_token": {"key": "databricksAccessToken", "type": "str"},
+        "workspace_url": {"key": "workspaceUrl", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword databricks_access_token: Databricks access token.
         :paramtype databricks_access_token: str
@@ -10753,8 +10174,8 @@ def __init__(
         :paramtype workspace_url: str
         """
         super(DatabricksProperties, self).__init__(**kwargs)
-        self.databricks_access_token = kwargs.get('databricks_access_token', None)
-        self.workspace_url = kwargs.get('workspace_url', None)
+        self.databricks_access_token = kwargs.get("databricks_access_token", None)
+        self.workspace_url = kwargs.get("workspace_url", None)
 
 
 class DataCollector(msrest.serialization.Model):
@@ -10781,19 +10202,16 @@ class DataCollector(msrest.serialization.Model):
     """
 
     _validation = {
-        'collections': {'required': True},
+        "collections": {"required": True},
     }
 
     _attribute_map = {
-        'collections': {'key': 'collections', 'type': '{Collection}'},
-        'request_logging': {'key': 'requestLogging', 'type': 'RequestLogging'},
-        'rolling_rate': {'key': 'rollingRate', 'type': 'str'},
+        "collections": {"key": "collections", "type": "{Collection}"},
+        "request_logging": {"key": "requestLogging", "type": "RequestLogging"},
+        "rolling_rate": {"key": "rollingRate", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword collections: Required. [Required] The collection configuration. Each collection has it
          own configuration to collect model data and the name of collection can be arbitrary string.
@@ -10813,9 +10231,9 @@ def __init__(
         :paramtype rolling_rate: str or ~azure.mgmt.machinelearningservices.models.RollingRateType
         """
         super(DataCollector, self).__init__(**kwargs)
-        self.collections = kwargs['collections']
-        self.request_logging = kwargs.get('request_logging', None)
-        self.rolling_rate = kwargs.get('rolling_rate', None)
+        self.collections = kwargs["collections"]
+        self.request_logging = kwargs.get("request_logging", None)
+        self.rolling_rate = kwargs.get("rolling_rate", None)
 
 
 class DataContainer(ProxyResource):
@@ -10841,31 +10259,28 @@ class DataContainer(ProxyResource):
     """
 
     _validation = {
-        'id': {'readonly': True},
-        'name': {'readonly': True},
-        'type': {'readonly': True},
-        'system_data': {'readonly': True},
-        'properties': {'required': True},
+        "id": {"readonly": True},
+        "name": {"readonly": True},
+        "type": {"readonly": True},
+        "system_data": {"readonly": True},
+        "properties": {"required": True},
     }
 
     _attribute_map = {
-        'id': {'key': 'id', 'type': 'str'},
-        'name': {'key': 'name', 'type': 'str'},
-        'type': {'key': 'type', 'type': 'str'},
-        'system_data': {'key': 'systemData', 'type': 'SystemData'},
-        'properties': {'key': 'properties', 'type': 'DataContainerProperties'},
+        "id": {"key": "id", "type": "str"},
+        "name": {"key": "name", "type": "str"},
+        "type": {"key": "type", "type": "str"},
+        "system_data": {"key": "systemData", "type": "SystemData"},
+        "properties": {"key": "properties", "type": "DataContainerProperties"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword properties: Required. [Required] Additional attributes of the entity.
         :paramtype properties: ~azure.mgmt.machinelearningservices.models.DataContainerProperties
         """
         super(DataContainer, self).__init__(**kwargs)
-        self.properties = kwargs['properties']
+        self.properties = kwargs["properties"]
 
 
 class DataContainerProperties(AssetContainer):
@@ -10893,25 +10308,22 @@ class DataContainerProperties(AssetContainer):
     """
 
     _validation = {
-        'latest_version': {'readonly': True},
-        'next_version': {'readonly': True},
-        'data_type': {'required': True},
+        "latest_version": {"readonly": True},
+        "next_version": {"readonly": True},
+        "data_type": {"required": True},
     }
 
     _attribute_map = {
-        'description': {'key': 'description', 'type': 'str'},
-        'properties': {'key': 'properties', 'type': '{str}'},
-        'tags': {'key': 'tags', 'type': '{str}'},
-        'is_archived': {'key': 'isArchived', 'type': 'bool'},
-        'latest_version': {'key': 'latestVersion', 'type': 'str'},
-        'next_version': {'key': 'nextVersion', 'type': 'str'},
-        'data_type': {'key': 'dataType', 'type': 'str'},
+        "description": {"key": "description", "type": "str"},
+        "properties": {"key": "properties", "type": "{str}"},
+        "tags": {"key": "tags", "type": "{str}"},
+        "is_archived": {"key": "isArchived", "type": "bool"},
+        "latest_version": {"key": "latestVersion", "type": "str"},
+        "next_version": {"key": "nextVersion", "type": "str"},
+        "data_type": {"key": "dataType", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword description: The asset description text.
         :paramtype description: str
@@ -10926,7 +10338,7 @@ def __init__(
         :paramtype data_type: str or ~azure.mgmt.machinelearningservices.models.DataType
         """
         super(DataContainerProperties, self).__init__(**kwargs)
-        self.data_type = kwargs['data_type']
+        self.data_type = kwargs["data_type"]
 
 
 class DataContainerResourceArmPaginatedResult(msrest.serialization.Model):
@@ -10940,14 +10352,11 @@ class DataContainerResourceArmPaginatedResult(msrest.serialization.Model):
     """
 
     _attribute_map = {
-        'next_link': {'key': 'nextLink', 'type': 'str'},
-        'value': {'key': 'value', 'type': '[DataContainer]'},
+        "next_link": {"key": "nextLink", "type": "str"},
+        "value": {"key": "value", "type": "[DataContainer]"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword next_link: The link to the next page of DataContainer objects. If null, there are no
          additional pages.
@@ -10956,8 +10365,8 @@ def __init__(
         :paramtype value: list[~azure.mgmt.machinelearningservices.models.DataContainer]
         """
         super(DataContainerResourceArmPaginatedResult, self).__init__(**kwargs)
-        self.next_link = kwargs.get('next_link', None)
-        self.value = kwargs.get('value', None)
+        self.next_link = kwargs.get("next_link", None)
+        self.value = kwargs.get("value", None)
 
 
 class DataDriftMonitoringSignal(MonitoringSignalBase):
@@ -10997,29 +10406,26 @@ class DataDriftMonitoringSignal(MonitoringSignalBase):
     """
 
     _validation = {
-        'signal_type': {'required': True},
-        'metric_thresholds': {'required': True},
-        'production_data': {'required': True},
-        'reference_data': {'required': True},
+        "signal_type": {"required": True},
+        "metric_thresholds": {"required": True},
+        "production_data": {"required": True},
+        "reference_data": {"required": True},
     }
 
     _attribute_map = {
-        'notification_types': {'key': 'notificationTypes', 'type': '[str]'},
-        'properties': {'key': 'properties', 'type': '{str}'},
-        'signal_type': {'key': 'signalType', 'type': 'str'},
-        'data_segment': {'key': 'dataSegment', 'type': 'MonitoringDataSegment'},
-        'feature_data_type_override': {'key': 'featureDataTypeOverride', 'type': '{str}'},
-        'feature_importance_settings': {'key': 'featureImportanceSettings', 'type': 'FeatureImportanceSettings'},
-        'features': {'key': 'features', 'type': 'MonitoringFeatureFilterBase'},
-        'metric_thresholds': {'key': 'metricThresholds', 'type': '[DataDriftMetricThresholdBase]'},
-        'production_data': {'key': 'productionData', 'type': 'MonitoringInputDataBase'},
-        'reference_data': {'key': 'referenceData', 'type': 'MonitoringInputDataBase'},
+        "notification_types": {"key": "notificationTypes", "type": "[str]"},
+        "properties": {"key": "properties", "type": "{str}"},
+        "signal_type": {"key": "signalType", "type": "str"},
+        "data_segment": {"key": "dataSegment", "type": "MonitoringDataSegment"},
+        "feature_data_type_override": {"key": "featureDataTypeOverride", "type": "{str}"},
+        "feature_importance_settings": {"key": "featureImportanceSettings", "type": "FeatureImportanceSettings"},
+        "features": {"key": "features", "type": "MonitoringFeatureFilterBase"},
+        "metric_thresholds": {"key": "metricThresholds", "type": "[DataDriftMetricThresholdBase]"},
+        "production_data": {"key": "productionData", "type": "MonitoringInputDataBase"},
+        "reference_data": {"key": "referenceData", "type": "MonitoringInputDataBase"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword notification_types: The current notification mode for this signal.
         :paramtype notification_types: list[str or
@@ -11047,14 +10453,14 @@ def __init__(
         :paramtype reference_data: ~azure.mgmt.machinelearningservices.models.MonitoringInputDataBase
         """
         super(DataDriftMonitoringSignal, self).__init__(**kwargs)
-        self.signal_type = 'DataDrift'  # type: str
-        self.data_segment = kwargs.get('data_segment', None)
-        self.feature_data_type_override = kwargs.get('feature_data_type_override', None)
-        self.feature_importance_settings = kwargs.get('feature_importance_settings', None)
-        self.features = kwargs.get('features', None)
-        self.metric_thresholds = kwargs['metric_thresholds']
-        self.production_data = kwargs['production_data']
-        self.reference_data = kwargs['reference_data']
+        self.signal_type = "DataDrift"  # type: str
+        self.data_segment = kwargs.get("data_segment", None)
+        self.feature_data_type_override = kwargs.get("feature_data_type_override", None)
+        self.feature_importance_settings = kwargs.get("feature_importance_settings", None)
+        self.features = kwargs.get("features", None)
+        self.metric_thresholds = kwargs["metric_thresholds"]
+        self.production_data = kwargs["production_data"]
+        self.reference_data = kwargs["reference_data"]
 
 
 class DataFactory(Compute):
@@ -11094,31 +10500,28 @@ class DataFactory(Compute):
     """
 
     _validation = {
-        'compute_type': {'required': True},
-        'provisioning_state': {'readonly': True},
-        'created_on': {'readonly': True},
-        'modified_on': {'readonly': True},
-        'provisioning_errors': {'readonly': True},
-        'is_attached_compute': {'readonly': True},
+        "compute_type": {"required": True},
+        "provisioning_state": {"readonly": True},
+        "created_on": {"readonly": True},
+        "modified_on": {"readonly": True},
+        "provisioning_errors": {"readonly": True},
+        "is_attached_compute": {"readonly": True},
     }
 
     _attribute_map = {
-        'compute_type': {'key': 'computeType', 'type': 'str'},
-        'compute_location': {'key': 'computeLocation', 'type': 'str'},
-        'provisioning_state': {'key': 'provisioningState', 'type': 'str'},
-        'description': {'key': 'description', 'type': 'str'},
-        'created_on': {'key': 'createdOn', 'type': 'iso-8601'},
-        'modified_on': {'key': 'modifiedOn', 'type': 'iso-8601'},
-        'resource_id': {'key': 'resourceId', 'type': 'str'},
-        'provisioning_errors': {'key': 'provisioningErrors', 'type': '[ErrorResponse]'},
-        'is_attached_compute': {'key': 'isAttachedCompute', 'type': 'bool'},
-        'disable_local_auth': {'key': 'disableLocalAuth', 'type': 'bool'},
+        "compute_type": {"key": "computeType", "type": "str"},
+        "compute_location": {"key": "computeLocation", "type": "str"},
+        "provisioning_state": {"key": "provisioningState", "type": "str"},
+        "description": {"key": "description", "type": "str"},
+        "created_on": {"key": "createdOn", "type": "iso-8601"},
+        "modified_on": {"key": "modifiedOn", "type": "iso-8601"},
+        "resource_id": {"key": "resourceId", "type": "str"},
+        "provisioning_errors": {"key": "provisioningErrors", "type": "[ErrorResponse]"},
+        "is_attached_compute": {"key": "isAttachedCompute", "type": "bool"},
+        "disable_local_auth": {"key": "disableLocalAuth", "type": "bool"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword compute_location: Location for the underlying compute.
         :paramtype compute_location: str
@@ -11131,7 +10534,7 @@ def __init__(
         :paramtype disable_local_auth: bool
         """
         super(DataFactory, self).__init__(**kwargs)
-        self.compute_type = 'DataFactory'  # type: str
+        self.compute_type = "DataFactory"  # type: str
 
 
 class DataVersionBaseProperties(AssetBase):
@@ -11170,31 +10573,28 @@ class DataVersionBaseProperties(AssetBase):
     """
 
     _validation = {
-        'data_type': {'required': True},
-        'data_uri': {'required': True, 'min_length': 1, 'pattern': r'[a-zA-Z0-9_]'},
+        "data_type": {"required": True},
+        "data_uri": {"required": True, "min_length": 1, "pattern": r"[a-zA-Z0-9_]"},
     }
 
     _attribute_map = {
-        'description': {'key': 'description', 'type': 'str'},
-        'properties': {'key': 'properties', 'type': '{str}'},
-        'tags': {'key': 'tags', 'type': '{str}'},
-        'auto_delete_setting': {'key': 'autoDeleteSetting', 'type': 'AutoDeleteSetting'},
-        'is_anonymous': {'key': 'isAnonymous', 'type': 'bool'},
-        'is_archived': {'key': 'isArchived', 'type': 'bool'},
-        'data_type': {'key': 'dataType', 'type': 'str'},
-        'data_uri': {'key': 'dataUri', 'type': 'str'},
-        'intellectual_property': {'key': 'intellectualProperty', 'type': 'IntellectualProperty'},
-        'stage': {'key': 'stage', 'type': 'str'},
+        "description": {"key": "description", "type": "str"},
+        "properties": {"key": "properties", "type": "{str}"},
+        "tags": {"key": "tags", "type": "{str}"},
+        "auto_delete_setting": {"key": "autoDeleteSetting", "type": "AutoDeleteSetting"},
+        "is_anonymous": {"key": "isAnonymous", "type": "bool"},
+        "is_archived": {"key": "isArchived", "type": "bool"},
+        "data_type": {"key": "dataType", "type": "str"},
+        "data_uri": {"key": "dataUri", "type": "str"},
+        "intellectual_property": {"key": "intellectualProperty", "type": "IntellectualProperty"},
+        "stage": {"key": "stage", "type": "str"},
     }
 
     _subtype_map = {
-        'data_type': {'mltable': 'MLTableData', 'uri_file': 'UriFileDataVersion', 'uri_folder': 'UriFolderDataVersion'}
+        "data_type": {"mltable": "MLTableData", "uri_file": "UriFileDataVersion", "uri_folder": "UriFolderDataVersion"}
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword description: The asset description text.
         :paramtype description: str
@@ -11221,10 +10621,10 @@ def __init__(
         :paramtype stage: str
         """
         super(DataVersionBaseProperties, self).__init__(**kwargs)
-        self.data_type = 'DataVersionBaseProperties'  # type: str
-        self.data_uri = kwargs['data_uri']
-        self.intellectual_property = kwargs.get('intellectual_property', None)
-        self.stage = kwargs.get('stage', None)
+        self.data_type = "DataVersionBaseProperties"  # type: str
+        self.data_uri = kwargs["data_uri"]
+        self.intellectual_property = kwargs.get("intellectual_property", None)
+        self.stage = kwargs.get("stage", None)
 
 
 class DataImport(DataVersionBaseProperties):
@@ -11264,29 +10664,26 @@ class DataImport(DataVersionBaseProperties):
     """
 
     _validation = {
-        'data_type': {'required': True},
-        'data_uri': {'required': True, 'min_length': 1, 'pattern': r'[a-zA-Z0-9_]'},
+        "data_type": {"required": True},
+        "data_uri": {"required": True, "min_length": 1, "pattern": r"[a-zA-Z0-9_]"},
     }
 
     _attribute_map = {
-        'description': {'key': 'description', 'type': 'str'},
-        'properties': {'key': 'properties', 'type': '{str}'},
-        'tags': {'key': 'tags', 'type': '{str}'},
-        'auto_delete_setting': {'key': 'autoDeleteSetting', 'type': 'AutoDeleteSetting'},
-        'is_anonymous': {'key': 'isAnonymous', 'type': 'bool'},
-        'is_archived': {'key': 'isArchived', 'type': 'bool'},
-        'data_type': {'key': 'dataType', 'type': 'str'},
-        'data_uri': {'key': 'dataUri', 'type': 'str'},
-        'intellectual_property': {'key': 'intellectualProperty', 'type': 'IntellectualProperty'},
-        'stage': {'key': 'stage', 'type': 'str'},
-        'asset_name': {'key': 'assetName', 'type': 'str'},
-        'source': {'key': 'source', 'type': 'DataImportSource'},
+        "description": {"key": "description", "type": "str"},
+        "properties": {"key": "properties", "type": "{str}"},
+        "tags": {"key": "tags", "type": "{str}"},
+        "auto_delete_setting": {"key": "autoDeleteSetting", "type": "AutoDeleteSetting"},
+        "is_anonymous": {"key": "isAnonymous", "type": "bool"},
+        "is_archived": {"key": "isArchived", "type": "bool"},
+        "data_type": {"key": "dataType", "type": "str"},
+        "data_uri": {"key": "dataUri", "type": "str"},
+        "intellectual_property": {"key": "intellectualProperty", "type": "IntellectualProperty"},
+        "stage": {"key": "stage", "type": "str"},
+        "asset_name": {"key": "assetName", "type": "str"},
+        "source": {"key": "source", "type": "DataImportSource"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword description: The asset description text.
         :paramtype description: str
@@ -11317,9 +10714,9 @@ def __init__(
         :paramtype source: ~azure.mgmt.machinelearningservices.models.DataImportSource
         """
         super(DataImport, self).__init__(**kwargs)
-        self.data_type = 'uri_folder'  # type: str
-        self.asset_name = kwargs.get('asset_name', None)
-        self.source = kwargs.get('source', None)
+        self.data_type = "uri_folder"  # type: str
+        self.asset_name = kwargs.get("asset_name", None)
+        self.source = kwargs.get("source", None)
 
 
 class DataLakeAnalyticsSchema(msrest.serialization.Model):
@@ -11331,20 +10728,17 @@ class DataLakeAnalyticsSchema(msrest.serialization.Model):
     """
 
     _attribute_map = {
-        'properties': {'key': 'properties', 'type': 'DataLakeAnalyticsSchemaProperties'},
+        "properties": {"key": "properties", "type": "DataLakeAnalyticsSchemaProperties"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword properties:
         :paramtype properties:
          ~azure.mgmt.machinelearningservices.models.DataLakeAnalyticsSchemaProperties
         """
         super(DataLakeAnalyticsSchema, self).__init__(**kwargs)
-        self.properties = kwargs.get('properties', None)
+        self.properties = kwargs.get("properties", None)
 
 
 class DataLakeAnalytics(Compute, DataLakeAnalyticsSchema):
@@ -11387,32 +10781,29 @@ class DataLakeAnalytics(Compute, DataLakeAnalyticsSchema):
     """
 
     _validation = {
-        'compute_type': {'required': True},
-        'provisioning_state': {'readonly': True},
-        'created_on': {'readonly': True},
-        'modified_on': {'readonly': True},
-        'provisioning_errors': {'readonly': True},
-        'is_attached_compute': {'readonly': True},
+        "compute_type": {"required": True},
+        "provisioning_state": {"readonly": True},
+        "created_on": {"readonly": True},
+        "modified_on": {"readonly": True},
+        "provisioning_errors": {"readonly": True},
+        "is_attached_compute": {"readonly": True},
     }
 
     _attribute_map = {
-        'properties': {'key': 'properties', 'type': 'DataLakeAnalyticsSchemaProperties'},
-        'compute_type': {'key': 'computeType', 'type': 'str'},
-        'compute_location': {'key': 'computeLocation', 'type': 'str'},
-        'provisioning_state': {'key': 'provisioningState', 'type': 'str'},
-        'description': {'key': 'description', 'type': 'str'},
-        'created_on': {'key': 'createdOn', 'type': 'iso-8601'},
-        'modified_on': {'key': 'modifiedOn', 'type': 'iso-8601'},
-        'resource_id': {'key': 'resourceId', 'type': 'str'},
-        'provisioning_errors': {'key': 'provisioningErrors', 'type': '[ErrorResponse]'},
-        'is_attached_compute': {'key': 'isAttachedCompute', 'type': 'bool'},
-        'disable_local_auth': {'key': 'disableLocalAuth', 'type': 'bool'},
+        "properties": {"key": "properties", "type": "DataLakeAnalyticsSchemaProperties"},
+        "compute_type": {"key": "computeType", "type": "str"},
+        "compute_location": {"key": "computeLocation", "type": "str"},
+        "provisioning_state": {"key": "provisioningState", "type": "str"},
+        "description": {"key": "description", "type": "str"},
+        "created_on": {"key": "createdOn", "type": "iso-8601"},
+        "modified_on": {"key": "modifiedOn", "type": "iso-8601"},
+        "resource_id": {"key": "resourceId", "type": "str"},
+        "provisioning_errors": {"key": "provisioningErrors", "type": "[ErrorResponse]"},
+        "is_attached_compute": {"key": "isAttachedCompute", "type": "bool"},
+        "disable_local_auth": {"key": "disableLocalAuth", "type": "bool"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword properties:
         :paramtype properties:
@@ -11428,17 +10819,17 @@ def __init__(
         :paramtype disable_local_auth: bool
         """
         super(DataLakeAnalytics, self).__init__(**kwargs)
-        self.properties = kwargs.get('properties', None)
-        self.compute_type = 'DataLakeAnalytics'  # type: str
-        self.compute_location = kwargs.get('compute_location', None)
+        self.properties = kwargs.get("properties", None)
+        self.compute_type = "DataLakeAnalytics"  # type: str
+        self.compute_location = kwargs.get("compute_location", None)
         self.provisioning_state = None
-        self.description = kwargs.get('description', None)
+        self.description = kwargs.get("description", None)
         self.created_on = None
         self.modified_on = None
-        self.resource_id = kwargs.get('resource_id', None)
+        self.resource_id = kwargs.get("resource_id", None)
         self.provisioning_errors = None
         self.is_attached_compute = None
-        self.disable_local_auth = kwargs.get('disable_local_auth', None)
+        self.disable_local_auth = kwargs.get("disable_local_auth", None)
 
 
 class DataLakeAnalyticsSchemaProperties(msrest.serialization.Model):
@@ -11449,19 +10840,16 @@ class DataLakeAnalyticsSchemaProperties(msrest.serialization.Model):
     """
 
     _attribute_map = {
-        'data_lake_store_account_name': {'key': 'dataLakeStoreAccountName', 'type': 'str'},
+        "data_lake_store_account_name": {"key": "dataLakeStoreAccountName", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword data_lake_store_account_name: DataLake Store Account Name.
         :paramtype data_lake_store_account_name: str
         """
         super(DataLakeAnalyticsSchemaProperties, self).__init__(**kwargs)
-        self.data_lake_store_account_name = kwargs.get('data_lake_store_account_name', None)
+        self.data_lake_store_account_name = kwargs.get("data_lake_store_account_name", None)
 
 
 class DataPathAssetReference(AssetReferenceBase):
@@ -11479,19 +10867,16 @@ class DataPathAssetReference(AssetReferenceBase):
     """
 
     _validation = {
-        'reference_type': {'required': True},
+        "reference_type": {"required": True},
     }
 
     _attribute_map = {
-        'reference_type': {'key': 'referenceType', 'type': 'str'},
-        'datastore_id': {'key': 'datastoreId', 'type': 'str'},
-        'path': {'key': 'path', 'type': 'str'},
+        "reference_type": {"key": "referenceType", "type": "str"},
+        "datastore_id": {"key": "datastoreId", "type": "str"},
+        "path": {"key": "path", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword datastore_id: ARM resource ID of the datastore where the asset is located.
         :paramtype datastore_id: str
@@ -11499,9 +10884,9 @@ def __init__(
         :paramtype path: str
         """
         super(DataPathAssetReference, self).__init__(**kwargs)
-        self.reference_type = 'DataPath'  # type: str
-        self.datastore_id = kwargs.get('datastore_id', None)
-        self.path = kwargs.get('path', None)
+        self.reference_type = "DataPath"  # type: str
+        self.datastore_id = kwargs.get("datastore_id", None)
+        self.path = kwargs.get("path", None)
 
 
 class DataQualityMonitoringSignal(MonitoringSignalBase):
@@ -11540,28 +10925,25 @@ class DataQualityMonitoringSignal(MonitoringSignalBase):
     """
 
     _validation = {
-        'signal_type': {'required': True},
-        'metric_thresholds': {'required': True},
-        'production_data': {'required': True},
-        'reference_data': {'required': True},
+        "signal_type": {"required": True},
+        "metric_thresholds": {"required": True},
+        "production_data": {"required": True},
+        "reference_data": {"required": True},
     }
 
     _attribute_map = {
-        'notification_types': {'key': 'notificationTypes', 'type': '[str]'},
-        'properties': {'key': 'properties', 'type': '{str}'},
-        'signal_type': {'key': 'signalType', 'type': 'str'},
-        'feature_data_type_override': {'key': 'featureDataTypeOverride', 'type': '{str}'},
-        'feature_importance_settings': {'key': 'featureImportanceSettings', 'type': 'FeatureImportanceSettings'},
-        'features': {'key': 'features', 'type': 'MonitoringFeatureFilterBase'},
-        'metric_thresholds': {'key': 'metricThresholds', 'type': '[DataQualityMetricThresholdBase]'},
-        'production_data': {'key': 'productionData', 'type': 'MonitoringInputDataBase'},
-        'reference_data': {'key': 'referenceData', 'type': 'MonitoringInputDataBase'},
+        "notification_types": {"key": "notificationTypes", "type": "[str]"},
+        "properties": {"key": "properties", "type": "{str}"},
+        "signal_type": {"key": "signalType", "type": "str"},
+        "feature_data_type_override": {"key": "featureDataTypeOverride", "type": "{str}"},
+        "feature_importance_settings": {"key": "featureImportanceSettings", "type": "FeatureImportanceSettings"},
+        "features": {"key": "features", "type": "MonitoringFeatureFilterBase"},
+        "metric_thresholds": {"key": "metricThresholds", "type": "[DataQualityMetricThresholdBase]"},
+        "production_data": {"key": "productionData", "type": "MonitoringInputDataBase"},
+        "reference_data": {"key": "referenceData", "type": "MonitoringInputDataBase"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword notification_types: The current notification mode for this signal.
         :paramtype notification_types: list[str or
@@ -11588,13 +10970,13 @@ def __init__(
         :paramtype reference_data: ~azure.mgmt.machinelearningservices.models.MonitoringInputDataBase
         """
         super(DataQualityMonitoringSignal, self).__init__(**kwargs)
-        self.signal_type = 'DataQuality'  # type: str
-        self.feature_data_type_override = kwargs.get('feature_data_type_override', None)
-        self.feature_importance_settings = kwargs.get('feature_importance_settings', None)
-        self.features = kwargs.get('features', None)
-        self.metric_thresholds = kwargs['metric_thresholds']
-        self.production_data = kwargs['production_data']
-        self.reference_data = kwargs['reference_data']
+        self.signal_type = "DataQuality"  # type: str
+        self.feature_data_type_override = kwargs.get("feature_data_type_override", None)
+        self.feature_importance_settings = kwargs.get("feature_importance_settings", None)
+        self.features = kwargs.get("features", None)
+        self.metric_thresholds = kwargs["metric_thresholds"]
+        self.production_data = kwargs["production_data"]
+        self.reference_data = kwargs["reference_data"]
 
 
 class DatasetExportSummary(ExportSummary):
@@ -11620,31 +11002,27 @@ class DatasetExportSummary(ExportSummary):
     """
 
     _validation = {
-        'end_date_time': {'readonly': True},
-        'exported_row_count': {'readonly': True},
-        'format': {'required': True},
-        'labeling_job_id': {'readonly': True},
-        'start_date_time': {'readonly': True},
-        'labeled_asset_name': {'readonly': True},
+        "end_date_time": {"readonly": True},
+        "exported_row_count": {"readonly": True},
+        "format": {"required": True},
+        "labeling_job_id": {"readonly": True},
+        "start_date_time": {"readonly": True},
+        "labeled_asset_name": {"readonly": True},
     }
 
     _attribute_map = {
-        'end_date_time': {'key': 'endDateTime', 'type': 'iso-8601'},
-        'exported_row_count': {'key': 'exportedRowCount', 'type': 'long'},
-        'format': {'key': 'format', 'type': 'str'},
-        'labeling_job_id': {'key': 'labelingJobId', 'type': 'str'},
-        'start_date_time': {'key': 'startDateTime', 'type': 'iso-8601'},
-        'labeled_asset_name': {'key': 'labeledAssetName', 'type': 'str'},
+        "end_date_time": {"key": "endDateTime", "type": "iso-8601"},
+        "exported_row_count": {"key": "exportedRowCount", "type": "long"},
+        "format": {"key": "format", "type": "str"},
+        "labeling_job_id": {"key": "labelingJobId", "type": "str"},
+        "start_date_time": {"key": "startDateTime", "type": "iso-8601"},
+        "labeled_asset_name": {"key": "labeledAssetName", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
-        """
-        """
+    def __init__(self, **kwargs):
+        """ """
         super(DatasetExportSummary, self).__init__(**kwargs)
-        self.format = 'Dataset'  # type: str
+        self.format = "Dataset"  # type: str
         self.labeled_asset_name = None
 
 
@@ -11671,31 +11049,28 @@ class Datastore(ProxyResource):
     """
 
     _validation = {
-        'id': {'readonly': True},
-        'name': {'readonly': True},
-        'type': {'readonly': True},
-        'system_data': {'readonly': True},
-        'properties': {'required': True},
+        "id": {"readonly": True},
+        "name": {"readonly": True},
+        "type": {"readonly": True},
+        "system_data": {"readonly": True},
+        "properties": {"required": True},
     }
 
     _attribute_map = {
-        'id': {'key': 'id', 'type': 'str'},
-        'name': {'key': 'name', 'type': 'str'},
-        'type': {'key': 'type', 'type': 'str'},
-        'system_data': {'key': 'systemData', 'type': 'SystemData'},
-        'properties': {'key': 'properties', 'type': 'DatastoreProperties'},
+        "id": {"key": "id", "type": "str"},
+        "name": {"key": "name", "type": "str"},
+        "type": {"key": "type", "type": "str"},
+        "system_data": {"key": "systemData", "type": "SystemData"},
+        "properties": {"key": "properties", "type": "DatastoreProperties"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword properties: Required. [Required] Additional attributes of the entity.
         :paramtype properties: ~azure.mgmt.machinelearningservices.models.DatastoreProperties
         """
         super(Datastore, self).__init__(**kwargs)
-        self.properties = kwargs['properties']
+        self.properties = kwargs["properties"]
 
 
 class DatastoreResourceArmPaginatedResult(msrest.serialization.Model):
@@ -11709,14 +11084,11 @@ class DatastoreResourceArmPaginatedResult(msrest.serialization.Model):
     """
 
     _attribute_map = {
-        'next_link': {'key': 'nextLink', 'type': 'str'},
-        'value': {'key': 'value', 'type': '[Datastore]'},
+        "next_link": {"key": "nextLink", "type": "str"},
+        "value": {"key": "value", "type": "[Datastore]"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword next_link: The link to the next page of Datastore objects. If null, there are no
          additional pages.
@@ -11725,8 +11097,8 @@ def __init__(
         :paramtype value: list[~azure.mgmt.machinelearningservices.models.Datastore]
         """
         super(DatastoreResourceArmPaginatedResult, self).__init__(**kwargs)
-        self.next_link = kwargs.get('next_link', None)
-        self.value = kwargs.get('value', None)
+        self.next_link = kwargs.get("next_link", None)
+        self.value = kwargs.get("value", None)
 
 
 class DataVersionBase(ProxyResource):
@@ -11752,31 +11124,28 @@ class DataVersionBase(ProxyResource):
     """
 
     _validation = {
-        'id': {'readonly': True},
-        'name': {'readonly': True},
-        'type': {'readonly': True},
-        'system_data': {'readonly': True},
-        'properties': {'required': True},
+        "id": {"readonly": True},
+        "name": {"readonly": True},
+        "type": {"readonly": True},
+        "system_data": {"readonly": True},
+        "properties": {"required": True},
     }
 
     _attribute_map = {
-        'id': {'key': 'id', 'type': 'str'},
-        'name': {'key': 'name', 'type': 'str'},
-        'type': {'key': 'type', 'type': 'str'},
-        'system_data': {'key': 'systemData', 'type': 'SystemData'},
-        'properties': {'key': 'properties', 'type': 'DataVersionBaseProperties'},
+        "id": {"key": "id", "type": "str"},
+        "name": {"key": "name", "type": "str"},
+        "type": {"key": "type", "type": "str"},
+        "system_data": {"key": "systemData", "type": "SystemData"},
+        "properties": {"key": "properties", "type": "DataVersionBaseProperties"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword properties: Required. [Required] Additional attributes of the entity.
         :paramtype properties: ~azure.mgmt.machinelearningservices.models.DataVersionBaseProperties
         """
         super(DataVersionBase, self).__init__(**kwargs)
-        self.properties = kwargs['properties']
+        self.properties = kwargs["properties"]
 
 
 class DataVersionBaseResourceArmPaginatedResult(msrest.serialization.Model):
@@ -11790,14 +11159,11 @@ class DataVersionBaseResourceArmPaginatedResult(msrest.serialization.Model):
     """
 
     _attribute_map = {
-        'next_link': {'key': 'nextLink', 'type': 'str'},
-        'value': {'key': 'value', 'type': '[DataVersionBase]'},
+        "next_link": {"key": "nextLink", "type": "str"},
+        "value": {"key": "value", "type": "[DataVersionBase]"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword next_link: The link to the next page of DataVersionBase objects. If null, there are no
          additional pages.
@@ -11806,8 +11172,8 @@ def __init__(
         :paramtype value: list[~azure.mgmt.machinelearningservices.models.DataVersionBase]
         """
         super(DataVersionBaseResourceArmPaginatedResult, self).__init__(**kwargs)
-        self.next_link = kwargs.get('next_link', None)
-        self.value = kwargs.get('value', None)
+        self.next_link = kwargs.get("next_link", None)
+        self.value = kwargs.get("value", None)
 
 
 class OnlineScaleSettings(msrest.serialization.Model):
@@ -11824,23 +11190,19 @@ class OnlineScaleSettings(msrest.serialization.Model):
     """
 
     _validation = {
-        'scale_type': {'required': True},
+        "scale_type": {"required": True},
     }
 
     _attribute_map = {
-        'scale_type': {'key': 'scaleType', 'type': 'str'},
+        "scale_type": {"key": "scaleType", "type": "str"},
     }
 
     _subtype_map = {
-        'scale_type': {'Default': 'DefaultScaleSettings', 'TargetUtilization': 'TargetUtilizationScaleSettings'}
+        "scale_type": {"Default": "DefaultScaleSettings", "TargetUtilization": "TargetUtilizationScaleSettings"}
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
-        """
-        """
+    def __init__(self, **kwargs):
+        """ """
         super(OnlineScaleSettings, self).__init__(**kwargs)
         self.scale_type = None  # type: Optional[str]
 
@@ -11856,21 +11218,17 @@ class DefaultScaleSettings(OnlineScaleSettings):
     """
 
     _validation = {
-        'scale_type': {'required': True},
+        "scale_type": {"required": True},
     }
 
     _attribute_map = {
-        'scale_type': {'key': 'scaleType', 'type': 'str'},
+        "scale_type": {"key": "scaleType", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
-        """
-        """
+    def __init__(self, **kwargs):
+        """ """
         super(DefaultScaleSettings, self).__init__(**kwargs)
-        self.scale_type = 'Default'  # type: str
+        self.scale_type = "Default"  # type: str
 
 
 class DeploymentLogs(msrest.serialization.Model):
@@ -11881,19 +11239,16 @@ class DeploymentLogs(msrest.serialization.Model):
     """
 
     _attribute_map = {
-        'content': {'key': 'content', 'type': 'str'},
+        "content": {"key": "content", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword content: The retrieved online deployment logs.
         :paramtype content: str
         """
         super(DeploymentLogs, self).__init__(**kwargs)
-        self.content = kwargs.get('content', None)
+        self.content = kwargs.get("content", None)
 
 
 class DeploymentLogsRequest(msrest.serialization.Model):
@@ -11907,14 +11262,11 @@ class DeploymentLogsRequest(msrest.serialization.Model):
     """
 
     _attribute_map = {
-        'container_type': {'key': 'containerType', 'type': 'str'},
-        'tail': {'key': 'tail', 'type': 'int'},
+        "container_type": {"key": "containerType", "type": "str"},
+        "tail": {"key": "tail", "type": "int"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword container_type: The type of container to retrieve logs from. Possible values include:
          "StorageInitializer", "InferenceServer", "ModelDataCollector".
@@ -11923,8 +11275,8 @@ def __init__(
         :paramtype tail: int
         """
         super(DeploymentLogsRequest, self).__init__(**kwargs)
-        self.container_type = kwargs.get('container_type', None)
-        self.tail = kwargs.get('tail', None)
+        self.container_type = kwargs.get("container_type", None)
+        self.tail = kwargs.get("tail", None)
 
 
 class ResourceConfiguration(msrest.serialization.Model):
@@ -11945,17 +11297,14 @@ class ResourceConfiguration(msrest.serialization.Model):
     """
 
     _attribute_map = {
-        'instance_count': {'key': 'instanceCount', 'type': 'int'},
-        'instance_type': {'key': 'instanceType', 'type': 'str'},
-        'locations': {'key': 'locations', 'type': '[str]'},
-        'max_instance_count': {'key': 'maxInstanceCount', 'type': 'int'},
-        'properties': {'key': 'properties', 'type': '{object}'},
+        "instance_count": {"key": "instanceCount", "type": "int"},
+        "instance_type": {"key": "instanceType", "type": "str"},
+        "locations": {"key": "locations", "type": "[str]"},
+        "max_instance_count": {"key": "maxInstanceCount", "type": "int"},
+        "properties": {"key": "properties", "type": "{object}"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword instance_count: Optional number of instances or nodes used by the compute target.
         :paramtype instance_count: int
@@ -11971,11 +11320,11 @@ def __init__(
         :paramtype properties: dict[str, any]
         """
         super(ResourceConfiguration, self).__init__(**kwargs)
-        self.instance_count = kwargs.get('instance_count', 1)
-        self.instance_type = kwargs.get('instance_type', None)
-        self.locations = kwargs.get('locations', None)
-        self.max_instance_count = kwargs.get('max_instance_count', None)
-        self.properties = kwargs.get('properties', None)
+        self.instance_count = kwargs.get("instance_count", 1)
+        self.instance_type = kwargs.get("instance_type", None)
+        self.locations = kwargs.get("locations", None)
+        self.max_instance_count = kwargs.get("max_instance_count", None)
+        self.properties = kwargs.get("properties", None)
 
 
 class DeploymentResourceConfiguration(ResourceConfiguration):
@@ -11996,17 +11345,14 @@ class DeploymentResourceConfiguration(ResourceConfiguration):
     """
 
     _attribute_map = {
-        'instance_count': {'key': 'instanceCount', 'type': 'int'},
-        'instance_type': {'key': 'instanceType', 'type': 'str'},
-        'locations': {'key': 'locations', 'type': '[str]'},
-        'max_instance_count': {'key': 'maxInstanceCount', 'type': 'int'},
-        'properties': {'key': 'properties', 'type': '{object}'},
+        "instance_count": {"key": "instanceCount", "type": "int"},
+        "instance_type": {"key": "instanceType", "type": "str"},
+        "locations": {"key": "locations", "type": "[str]"},
+        "max_instance_count": {"key": "maxInstanceCount", "type": "int"},
+        "properties": {"key": "properties", "type": "{object}"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword instance_count: Optional number of instances or nodes used by the compute target.
         :paramtype instance_count: int
@@ -12036,15 +11382,12 @@ class DestinationAsset(msrest.serialization.Model):
     """
 
     _attribute_map = {
-        'destination_name': {'key': 'destinationName', 'type': 'str'},
-        'destination_version': {'key': 'destinationVersion', 'type': 'str'},
-        'registry_name': {'key': 'registryName', 'type': 'str'},
+        "destination_name": {"key": "destinationName", "type": "str"},
+        "destination_version": {"key": "destinationVersion", "type": "str"},
+        "registry_name": {"key": "registryName", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword destination_name: Destination asset name.
         :paramtype destination_name: str
@@ -12054,9 +11397,9 @@ def __init__(
         :paramtype registry_name: str
         """
         super(DestinationAsset, self).__init__(**kwargs)
-        self.destination_name = kwargs.get('destination_name', None)
-        self.destination_version = kwargs.get('destination_version', None)
-        self.registry_name = kwargs.get('registry_name', None)
+        self.destination_name = kwargs.get("destination_name", None)
+        self.destination_version = kwargs.get("destination_version", None)
+        self.registry_name = kwargs.get("registry_name", None)
 
 
 class DiagnoseRequestProperties(msrest.serialization.Model):
@@ -12086,22 +11429,19 @@ class DiagnoseRequestProperties(msrest.serialization.Model):
     """
 
     _attribute_map = {
-        'application_insights': {'key': 'applicationInsights', 'type': '{object}'},
-        'container_registry': {'key': 'containerRegistry', 'type': '{object}'},
-        'dns_resolution': {'key': 'dnsResolution', 'type': '{object}'},
-        'key_vault': {'key': 'keyVault', 'type': '{object}'},
-        'nsg': {'key': 'nsg', 'type': '{object}'},
-        'others': {'key': 'others', 'type': '{object}'},
-        'required_resource_providers': {'key': 'requiredResourceProviders', 'type': '{object}'},
-        'resource_lock': {'key': 'resourceLock', 'type': '{object}'},
-        'storage_account': {'key': 'storageAccount', 'type': '{object}'},
-        'udr': {'key': 'udr', 'type': '{object}'},
+        "application_insights": {"key": "applicationInsights", "type": "{object}"},
+        "container_registry": {"key": "containerRegistry", "type": "{object}"},
+        "dns_resolution": {"key": "dnsResolution", "type": "{object}"},
+        "key_vault": {"key": "keyVault", "type": "{object}"},
+        "nsg": {"key": "nsg", "type": "{object}"},
+        "others": {"key": "others", "type": "{object}"},
+        "required_resource_providers": {"key": "requiredResourceProviders", "type": "{object}"},
+        "resource_lock": {"key": "resourceLock", "type": "{object}"},
+        "storage_account": {"key": "storageAccount", "type": "{object}"},
+        "udr": {"key": "udr", "type": "{object}"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword application_insights: Setting for diagnosing dependent application insights.
         :paramtype application_insights: dict[str, any]
@@ -12126,16 +11466,16 @@ def __init__(
         :paramtype udr: dict[str, any]
         """
         super(DiagnoseRequestProperties, self).__init__(**kwargs)
-        self.application_insights = kwargs.get('application_insights', None)
-        self.container_registry = kwargs.get('container_registry', None)
-        self.dns_resolution = kwargs.get('dns_resolution', None)
-        self.key_vault = kwargs.get('key_vault', None)
-        self.nsg = kwargs.get('nsg', None)
-        self.others = kwargs.get('others', None)
-        self.required_resource_providers = kwargs.get('required_resource_providers', None)
-        self.resource_lock = kwargs.get('resource_lock', None)
-        self.storage_account = kwargs.get('storage_account', None)
-        self.udr = kwargs.get('udr', None)
+        self.application_insights = kwargs.get("application_insights", None)
+        self.container_registry = kwargs.get("container_registry", None)
+        self.dns_resolution = kwargs.get("dns_resolution", None)
+        self.key_vault = kwargs.get("key_vault", None)
+        self.nsg = kwargs.get("nsg", None)
+        self.others = kwargs.get("others", None)
+        self.required_resource_providers = kwargs.get("required_resource_providers", None)
+        self.resource_lock = kwargs.get("resource_lock", None)
+        self.storage_account = kwargs.get("storage_account", None)
+        self.udr = kwargs.get("udr", None)
 
 
 class DiagnoseResponseResult(msrest.serialization.Model):
@@ -12146,19 +11486,16 @@ class DiagnoseResponseResult(msrest.serialization.Model):
     """
 
     _attribute_map = {
-        'value': {'key': 'value', 'type': 'DiagnoseResponseResultValue'},
+        "value": {"key": "value", "type": "DiagnoseResponseResultValue"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword value:
         :paramtype value: ~azure.mgmt.machinelearningservices.models.DiagnoseResponseResultValue
         """
         super(DiagnoseResponseResult, self).__init__(**kwargs)
-        self.value = kwargs.get('value', None)
+        self.value = kwargs.get("value", None)
 
 
 class DiagnoseResponseResultValue(msrest.serialization.Model):
@@ -12191,21 +11528,18 @@ class DiagnoseResponseResultValue(msrest.serialization.Model):
     """
 
     _attribute_map = {
-        'user_defined_route_results': {'key': 'userDefinedRouteResults', 'type': '[DiagnoseResult]'},
-        'network_security_rule_results': {'key': 'networkSecurityRuleResults', 'type': '[DiagnoseResult]'},
-        'resource_lock_results': {'key': 'resourceLockResults', 'type': '[DiagnoseResult]'},
-        'dns_resolution_results': {'key': 'dnsResolutionResults', 'type': '[DiagnoseResult]'},
-        'storage_account_results': {'key': 'storageAccountResults', 'type': '[DiagnoseResult]'},
-        'key_vault_results': {'key': 'keyVaultResults', 'type': '[DiagnoseResult]'},
-        'container_registry_results': {'key': 'containerRegistryResults', 'type': '[DiagnoseResult]'},
-        'application_insights_results': {'key': 'applicationInsightsResults', 'type': '[DiagnoseResult]'},
-        'other_results': {'key': 'otherResults', 'type': '[DiagnoseResult]'},
+        "user_defined_route_results": {"key": "userDefinedRouteResults", "type": "[DiagnoseResult]"},
+        "network_security_rule_results": {"key": "networkSecurityRuleResults", "type": "[DiagnoseResult]"},
+        "resource_lock_results": {"key": "resourceLockResults", "type": "[DiagnoseResult]"},
+        "dns_resolution_results": {"key": "dnsResolutionResults", "type": "[DiagnoseResult]"},
+        "storage_account_results": {"key": "storageAccountResults", "type": "[DiagnoseResult]"},
+        "key_vault_results": {"key": "keyVaultResults", "type": "[DiagnoseResult]"},
+        "container_registry_results": {"key": "containerRegistryResults", "type": "[DiagnoseResult]"},
+        "application_insights_results": {"key": "applicationInsightsResults", "type": "[DiagnoseResult]"},
+        "other_results": {"key": "otherResults", "type": "[DiagnoseResult]"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword user_defined_route_results:
         :paramtype user_defined_route_results:
@@ -12234,15 +11568,15 @@ def __init__(
         :paramtype other_results: list[~azure.mgmt.machinelearningservices.models.DiagnoseResult]
         """
         super(DiagnoseResponseResultValue, self).__init__(**kwargs)
-        self.user_defined_route_results = kwargs.get('user_defined_route_results', None)
-        self.network_security_rule_results = kwargs.get('network_security_rule_results', None)
-        self.resource_lock_results = kwargs.get('resource_lock_results', None)
-        self.dns_resolution_results = kwargs.get('dns_resolution_results', None)
-        self.storage_account_results = kwargs.get('storage_account_results', None)
-        self.key_vault_results = kwargs.get('key_vault_results', None)
-        self.container_registry_results = kwargs.get('container_registry_results', None)
-        self.application_insights_results = kwargs.get('application_insights_results', None)
-        self.other_results = kwargs.get('other_results', None)
+        self.user_defined_route_results = kwargs.get("user_defined_route_results", None)
+        self.network_security_rule_results = kwargs.get("network_security_rule_results", None)
+        self.resource_lock_results = kwargs.get("resource_lock_results", None)
+        self.dns_resolution_results = kwargs.get("dns_resolution_results", None)
+        self.storage_account_results = kwargs.get("storage_account_results", None)
+        self.key_vault_results = kwargs.get("key_vault_results", None)
+        self.container_registry_results = kwargs.get("container_registry_results", None)
+        self.application_insights_results = kwargs.get("application_insights_results", None)
+        self.other_results = kwargs.get("other_results", None)
 
 
 class DiagnoseResult(msrest.serialization.Model):
@@ -12260,23 +11594,19 @@ class DiagnoseResult(msrest.serialization.Model):
     """
 
     _validation = {
-        'code': {'readonly': True},
-        'level': {'readonly': True},
-        'message': {'readonly': True},
+        "code": {"readonly": True},
+        "level": {"readonly": True},
+        "message": {"readonly": True},
     }
 
     _attribute_map = {
-        'code': {'key': 'code', 'type': 'str'},
-        'level': {'key': 'level', 'type': 'str'},
-        'message': {'key': 'message', 'type': 'str'},
+        "code": {"key": "code", "type": "str"},
+        "level": {"key": "level", "type": "str"},
+        "message": {"key": "message", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
-        """
-        """
+    def __init__(self, **kwargs):
+        """ """
         super(DiagnoseResult, self).__init__(**kwargs)
         self.code = None
         self.level = None
@@ -12291,19 +11621,16 @@ class DiagnoseWorkspaceParameters(msrest.serialization.Model):
     """
 
     _attribute_map = {
-        'value': {'key': 'value', 'type': 'DiagnoseRequestProperties'},
+        "value": {"key": "value", "type": "DiagnoseRequestProperties"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword value:
         :paramtype value: ~azure.mgmt.machinelearningservices.models.DiagnoseRequestProperties
         """
         super(DiagnoseWorkspaceParameters, self).__init__(**kwargs)
-        self.value = kwargs.get('value', None)
+        self.value = kwargs.get("value", None)
 
 
 class DistributionConfiguration(msrest.serialization.Model):
@@ -12321,23 +11648,17 @@ class DistributionConfiguration(msrest.serialization.Model):
     """
 
     _validation = {
-        'distribution_type': {'required': True},
+        "distribution_type": {"required": True},
     }
 
     _attribute_map = {
-        'distribution_type': {'key': 'distributionType', 'type': 'str'},
+        "distribution_type": {"key": "distributionType", "type": "str"},
     }
 
-    _subtype_map = {
-        'distribution_type': {'Mpi': 'Mpi', 'PyTorch': 'PyTorch', 'Ray': 'Ray', 'TensorFlow': 'TensorFlow'}
-    }
+    _subtype_map = {"distribution_type": {"Mpi": "Mpi", "PyTorch": "PyTorch", "Ray": "Ray", "TensorFlow": "TensorFlow"}}
 
-    def __init__(
-            self,
-            **kwargs
-    ):
-        """
-        """
+    def __init__(self, **kwargs):
+        """ """
         super(DistributionConfiguration, self).__init__(**kwargs)
         self.distribution_type = None  # type: Optional[str]
 
@@ -12353,14 +11674,11 @@ class Docker(msrest.serialization.Model):
     """
 
     _attribute_map = {
-        'additional_properties': {'key': '', 'type': '{object}'},
-        'privileged': {'key': 'privileged', 'type': 'bool'},
+        "additional_properties": {"key": "", "type": "{object}"},
+        "privileged": {"key": "privileged", "type": "bool"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword additional_properties: Unmatched properties from the message are deserialized to this
          collection.
@@ -12369,8 +11687,8 @@ def __init__(
         :paramtype privileged: bool
         """
         super(Docker, self).__init__(**kwargs)
-        self.additional_properties = kwargs.get('additional_properties', None)
-        self.privileged = kwargs.get('privileged', None)
+        self.additional_properties = kwargs.get("additional_properties", None)
+        self.privileged = kwargs.get("privileged", None)
 
 
 class DockerCredential(DataReferenceCredential):
@@ -12390,19 +11708,16 @@ class DockerCredential(DataReferenceCredential):
     """
 
     _validation = {
-        'credential_type': {'required': True},
+        "credential_type": {"required": True},
     }
 
     _attribute_map = {
-        'credential_type': {'key': 'credentialType', 'type': 'str'},
-        'password': {'key': 'password', 'type': 'str'},
-        'user_name': {'key': 'userName', 'type': 'str'},
+        "credential_type": {"key": "credentialType", "type": "str"},
+        "password": {"key": "password", "type": "str"},
+        "user_name": {"key": "userName", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword password: DockerCredential user password.
         :paramtype password: str
@@ -12410,9 +11725,9 @@ def __init__(
         :paramtype user_name: str
         """
         super(DockerCredential, self).__init__(**kwargs)
-        self.credential_type = 'DockerCredentials'  # type: str
-        self.password = kwargs.get('password', None)
-        self.user_name = kwargs.get('user_name', None)
+        self.credential_type = "DockerCredentials"  # type: str
+        self.password = kwargs.get("password", None)
+        self.user_name = kwargs.get("user_name", None)
 
 
 class EncryptionKeyVaultUpdateProperties(msrest.serialization.Model):
@@ -12425,23 +11740,20 @@ class EncryptionKeyVaultUpdateProperties(msrest.serialization.Model):
     """
 
     _validation = {
-        'key_identifier': {'required': True, 'min_length': 1, 'pattern': r'[a-zA-Z0-9_]'},
+        "key_identifier": {"required": True, "min_length": 1, "pattern": r"[a-zA-Z0-9_]"},
     }
 
     _attribute_map = {
-        'key_identifier': {'key': 'keyIdentifier', 'type': 'str'},
+        "key_identifier": {"key": "keyIdentifier", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword key_identifier: Required.
         :paramtype key_identifier: str
         """
         super(EncryptionKeyVaultUpdateProperties, self).__init__(**kwargs)
-        self.key_identifier = kwargs['key_identifier']
+        self.key_identifier = kwargs["key_identifier"]
 
 
 class EncryptionProperty(msrest.serialization.Model):
@@ -12471,23 +11783,20 @@ class EncryptionProperty(msrest.serialization.Model):
     """
 
     _validation = {
-        'key_vault_properties': {'required': True},
-        'status': {'required': True},
+        "key_vault_properties": {"required": True},
+        "status": {"required": True},
     }
 
     _attribute_map = {
-        'cosmos_db_resource_id': {'key': 'cosmosDbResourceId', 'type': 'str'},
-        'identity': {'key': 'identity', 'type': 'IdentityForCmk'},
-        'key_vault_properties': {'key': 'keyVaultProperties', 'type': 'KeyVaultProperties'},
-        'search_account_resource_id': {'key': 'searchAccountResourceId', 'type': 'str'},
-        'status': {'key': 'status', 'type': 'str'},
-        'storage_account_resource_id': {'key': 'storageAccountResourceId', 'type': 'str'},
+        "cosmos_db_resource_id": {"key": "cosmosDbResourceId", "type": "str"},
+        "identity": {"key": "identity", "type": "IdentityForCmk"},
+        "key_vault_properties": {"key": "keyVaultProperties", "type": "KeyVaultProperties"},
+        "search_account_resource_id": {"key": "searchAccountResourceId", "type": "str"},
+        "status": {"key": "status", "type": "str"},
+        "storage_account_resource_id": {"key": "storageAccountResourceId", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword cosmos_db_resource_id: The byok cosmosdb account that customer brings to store
          customer's data
@@ -12510,12 +11819,12 @@ def __init__(
         :paramtype storage_account_resource_id: str
         """
         super(EncryptionProperty, self).__init__(**kwargs)
-        self.cosmos_db_resource_id = kwargs.get('cosmos_db_resource_id', None)
-        self.identity = kwargs.get('identity', None)
-        self.key_vault_properties = kwargs['key_vault_properties']
-        self.search_account_resource_id = kwargs.get('search_account_resource_id', None)
-        self.status = kwargs['status']
-        self.storage_account_resource_id = kwargs.get('storage_account_resource_id', None)
+        self.cosmos_db_resource_id = kwargs.get("cosmos_db_resource_id", None)
+        self.identity = kwargs.get("identity", None)
+        self.key_vault_properties = kwargs["key_vault_properties"]
+        self.search_account_resource_id = kwargs.get("search_account_resource_id", None)
+        self.status = kwargs["status"]
+        self.storage_account_resource_id = kwargs.get("storage_account_resource_id", None)
 
 
 class EncryptionUpdateProperties(msrest.serialization.Model):
@@ -12529,24 +11838,21 @@ class EncryptionUpdateProperties(msrest.serialization.Model):
     """
 
     _validation = {
-        'key_vault_properties': {'required': True},
+        "key_vault_properties": {"required": True},
     }
 
     _attribute_map = {
-        'key_vault_properties': {'key': 'keyVaultProperties', 'type': 'EncryptionKeyVaultUpdateProperties'},
+        "key_vault_properties": {"key": "keyVaultProperties", "type": "EncryptionKeyVaultUpdateProperties"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword key_vault_properties: Required.
         :paramtype key_vault_properties:
          ~azure.mgmt.machinelearningservices.models.EncryptionKeyVaultUpdateProperties
         """
         super(EncryptionUpdateProperties, self).__init__(**kwargs)
-        self.key_vault_properties = kwargs['key_vault_properties']
+        self.key_vault_properties = kwargs["key_vault_properties"]
 
 
 class Endpoint(msrest.serialization.Model):
@@ -12566,17 +11872,14 @@ class Endpoint(msrest.serialization.Model):
     """
 
     _attribute_map = {
-        'protocol': {'key': 'protocol', 'type': 'str'},
-        'name': {'key': 'name', 'type': 'str'},
-        'target': {'key': 'target', 'type': 'int'},
-        'published': {'key': 'published', 'type': 'int'},
-        'host_ip': {'key': 'hostIp', 'type': 'str'},
+        "protocol": {"key": "protocol", "type": "str"},
+        "name": {"key": "name", "type": "str"},
+        "target": {"key": "target", "type": "int"},
+        "published": {"key": "published", "type": "int"},
+        "host_ip": {"key": "hostIp", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword protocol: Protocol over which communication will happen over this endpoint. Possible
          values include: "tcp", "udp", "http". Default value: "tcp".
@@ -12591,11 +11894,11 @@ def __init__(
         :paramtype host_ip: str
         """
         super(Endpoint, self).__init__(**kwargs)
-        self.protocol = kwargs.get('protocol', "tcp")
-        self.name = kwargs.get('name', None)
-        self.target = kwargs.get('target', None)
-        self.published = kwargs.get('published', None)
-        self.host_ip = kwargs.get('host_ip', None)
+        self.protocol = kwargs.get("protocol", "tcp")
+        self.name = kwargs.get("name", None)
+        self.target = kwargs.get("target", None)
+        self.published = kwargs.get("published", None)
+        self.host_ip = kwargs.get("host_ip", None)
 
 
 class EndpointAuthKeys(msrest.serialization.Model):
@@ -12608,14 +11911,11 @@ class EndpointAuthKeys(msrest.serialization.Model):
     """
 
     _attribute_map = {
-        'primary_key': {'key': 'primaryKey', 'type': 'str'},
-        'secondary_key': {'key': 'secondaryKey', 'type': 'str'},
+        "primary_key": {"key": "primaryKey", "type": "str"},
+        "secondary_key": {"key": "secondaryKey", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword primary_key: The primary key.
         :paramtype primary_key: str
@@ -12623,8 +11923,8 @@ def __init__(
         :paramtype secondary_key: str
         """
         super(EndpointAuthKeys, self).__init__(**kwargs)
-        self.primary_key = kwargs.get('primary_key', None)
-        self.secondary_key = kwargs.get('secondary_key', None)
+        self.primary_key = kwargs.get("primary_key", None)
+        self.secondary_key = kwargs.get("secondary_key", None)
 
 
 class EndpointAuthToken(msrest.serialization.Model):
@@ -12641,16 +11941,13 @@ class EndpointAuthToken(msrest.serialization.Model):
     """
 
     _attribute_map = {
-        'access_token': {'key': 'accessToken', 'type': 'str'},
-        'expiry_time_utc': {'key': 'expiryTimeUtc', 'type': 'long'},
-        'refresh_after_time_utc': {'key': 'refreshAfterTimeUtc', 'type': 'long'},
-        'token_type': {'key': 'tokenType', 'type': 'str'},
+        "access_token": {"key": "accessToken", "type": "str"},
+        "expiry_time_utc": {"key": "expiryTimeUtc", "type": "long"},
+        "refresh_after_time_utc": {"key": "refreshAfterTimeUtc", "type": "long"},
+        "token_type": {"key": "tokenType", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword access_token: Access token for endpoint authentication.
         :paramtype access_token: str
@@ -12662,10 +11959,10 @@ def __init__(
         :paramtype token_type: str
         """
         super(EndpointAuthToken, self).__init__(**kwargs)
-        self.access_token = kwargs.get('access_token', None)
-        self.expiry_time_utc = kwargs.get('expiry_time_utc', 0)
-        self.refresh_after_time_utc = kwargs.get('refresh_after_time_utc', 0)
-        self.token_type = kwargs.get('token_type', None)
+        self.access_token = kwargs.get("access_token", None)
+        self.expiry_time_utc = kwargs.get("expiry_time_utc", 0)
+        self.refresh_after_time_utc = kwargs.get("refresh_after_time_utc", 0)
+        self.token_type = kwargs.get("token_type", None)
 
 
 class EndpointDeploymentModel(msrest.serialization.Model):
@@ -12682,16 +11979,13 @@ class EndpointDeploymentModel(msrest.serialization.Model):
     """
 
     _attribute_map = {
-        'format': {'key': 'format', 'type': 'str'},
-        'name': {'key': 'name', 'type': 'str'},
-        'source': {'key': 'source', 'type': 'str'},
-        'version': {'key': 'version', 'type': 'str'},
+        "format": {"key": "format", "type": "str"},
+        "name": {"key": "name", "type": "str"},
+        "source": {"key": "source", "type": "str"},
+        "version": {"key": "version", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword format: Model format.
         :paramtype format: str
@@ -12703,10 +11997,10 @@ def __init__(
         :paramtype version: str
         """
         super(EndpointDeploymentModel, self).__init__(**kwargs)
-        self.format = kwargs.get('format', None)
-        self.name = kwargs.get('name', None)
-        self.source = kwargs.get('source', None)
-        self.version = kwargs.get('version', None)
+        self.format = kwargs.get("format", None)
+        self.name = kwargs.get("name", None)
+        self.source = kwargs.get("source", None)
+        self.version = kwargs.get("version", None)
 
 
 class EndpointDeploymentResourcePropertiesBasicResource(Resource):
@@ -12733,32 +12027,29 @@ class EndpointDeploymentResourcePropertiesBasicResource(Resource):
     """
 
     _validation = {
-        'id': {'readonly': True},
-        'name': {'readonly': True},
-        'type': {'readonly': True},
-        'system_data': {'readonly': True},
-        'properties': {'required': True},
+        "id": {"readonly": True},
+        "name": {"readonly": True},
+        "type": {"readonly": True},
+        "system_data": {"readonly": True},
+        "properties": {"required": True},
     }
 
     _attribute_map = {
-        'id': {'key': 'id', 'type': 'str'},
-        'name': {'key': 'name', 'type': 'str'},
-        'type': {'key': 'type', 'type': 'str'},
-        'system_data': {'key': 'systemData', 'type': 'SystemData'},
-        'properties': {'key': 'properties', 'type': 'EndpointDeploymentResourceProperties'},
+        "id": {"key": "id", "type": "str"},
+        "name": {"key": "name", "type": "str"},
+        "type": {"key": "type", "type": "str"},
+        "system_data": {"key": "systemData", "type": "SystemData"},
+        "properties": {"key": "properties", "type": "EndpointDeploymentResourceProperties"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword properties: Required.
         :paramtype properties:
          ~azure.mgmt.machinelearningservices.models.EndpointDeploymentResourceProperties
         """
         super(EndpointDeploymentResourcePropertiesBasicResource, self).__init__(**kwargs)
-        self.properties = kwargs['properties']
+        self.properties = kwargs["properties"]
 
 
 class EndpointDeploymentResourcePropertiesBasicResourceArmPaginatedResult(msrest.serialization.Model):
@@ -12772,14 +12063,11 @@ class EndpointDeploymentResourcePropertiesBasicResourceArmPaginatedResult(msrest
     """
 
     _attribute_map = {
-        'next_link': {'key': 'nextLink', 'type': 'str'},
-        'value': {'key': 'value', 'type': '[EndpointDeploymentResourcePropertiesBasicResource]'},
+        "next_link": {"key": "nextLink", "type": "str"},
+        "value": {"key": "value", "type": "[EndpointDeploymentResourcePropertiesBasicResource]"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword next_link:
         :paramtype next_link: str
@@ -12788,8 +12076,8 @@ def __init__(
          list[~azure.mgmt.machinelearningservices.models.EndpointDeploymentResourcePropertiesBasicResource]
         """
         super(EndpointDeploymentResourcePropertiesBasicResourceArmPaginatedResult, self).__init__(**kwargs)
-        self.next_link = kwargs.get('next_link', None)
-        self.value = kwargs.get('value', None)
+        self.next_link = kwargs.get("next_link", None)
+        self.value = kwargs.get("value", None)
 
 
 class EndpointKeys(msrest.serialization.Model):
@@ -12800,19 +12088,16 @@ class EndpointKeys(msrest.serialization.Model):
     """
 
     _attribute_map = {
-        'keys': {'key': 'keys', 'type': 'AccountApiKeys'},
+        "keys": {"key": "keys", "type": "AccountApiKeys"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword keys: Dictionary of Keys for the endpoint.
         :paramtype keys: ~azure.mgmt.machinelearningservices.models.AccountApiKeys
         """
         super(EndpointKeys, self).__init__(**kwargs)
-        self.keys = kwargs.get('keys', None)
+        self.keys = kwargs.get("keys", None)
 
 
 class EndpointModels(msrest.serialization.Model):
@@ -12826,14 +12111,11 @@ class EndpointModels(msrest.serialization.Model):
     """
 
     _attribute_map = {
-        'next_link': {'key': 'nextLink', 'type': 'str'},
-        'value': {'key': 'value', 'type': '[AccountModel]'},
+        "next_link": {"key": "nextLink", "type": "str"},
+        "value": {"key": "value", "type": "[AccountModel]"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword next_link: The link to the next page constructed using the continuationToken.  If
          null, there are no additional pages.
@@ -12842,8 +12124,8 @@ def __init__(
         :paramtype value: list[~azure.mgmt.machinelearningservices.models.AccountModel]
         """
         super(EndpointModels, self).__init__(**kwargs)
-        self.next_link = kwargs.get('next_link', None)
-        self.value = kwargs.get('value', None)
+        self.next_link = kwargs.get("next_link", None)
+        self.value = kwargs.get("value", None)
 
 
 class EndpointResourcePropertiesBasicResource(Resource):
@@ -12869,31 +12151,28 @@ class EndpointResourcePropertiesBasicResource(Resource):
     """
 
     _validation = {
-        'id': {'readonly': True},
-        'name': {'readonly': True},
-        'type': {'readonly': True},
-        'system_data': {'readonly': True},
-        'properties': {'required': True},
+        "id": {"readonly": True},
+        "name": {"readonly": True},
+        "type": {"readonly": True},
+        "system_data": {"readonly": True},
+        "properties": {"required": True},
     }
 
     _attribute_map = {
-        'id': {'key': 'id', 'type': 'str'},
-        'name': {'key': 'name', 'type': 'str'},
-        'type': {'key': 'type', 'type': 'str'},
-        'system_data': {'key': 'systemData', 'type': 'SystemData'},
-        'properties': {'key': 'properties', 'type': 'EndpointResourceProperties'},
+        "id": {"key": "id", "type": "str"},
+        "name": {"key": "name", "type": "str"},
+        "type": {"key": "type", "type": "str"},
+        "system_data": {"key": "systemData", "type": "SystemData"},
+        "properties": {"key": "properties", "type": "EndpointResourceProperties"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword properties: Required.
         :paramtype properties: ~azure.mgmt.machinelearningservices.models.EndpointResourceProperties
         """
         super(EndpointResourcePropertiesBasicResource, self).__init__(**kwargs)
-        self.properties = kwargs['properties']
+        self.properties = kwargs["properties"]
 
 
 class EndpointResourcePropertiesBasicResourceArmPaginatedResult(msrest.serialization.Model):
@@ -12907,14 +12186,11 @@ class EndpointResourcePropertiesBasicResourceArmPaginatedResult(msrest.serializa
     """
 
     _attribute_map = {
-        'next_link': {'key': 'nextLink', 'type': 'str'},
-        'value': {'key': 'value', 'type': '[EndpointResourcePropertiesBasicResource]'},
+        "next_link": {"key": "nextLink", "type": "str"},
+        "value": {"key": "value", "type": "[EndpointResourcePropertiesBasicResource]"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword next_link:
         :paramtype next_link: str
@@ -12923,8 +12199,8 @@ def __init__(
          list[~azure.mgmt.machinelearningservices.models.EndpointResourcePropertiesBasicResource]
         """
         super(EndpointResourcePropertiesBasicResourceArmPaginatedResult, self).__init__(**kwargs)
-        self.next_link = kwargs.get('next_link', None)
-        self.value = kwargs.get('value', None)
+        self.next_link = kwargs.get("next_link", None)
+        self.value = kwargs.get("value", None)
 
 
 class EndpointScheduleAction(ScheduleActionBase):
@@ -12947,19 +12223,16 @@ class EndpointScheduleAction(ScheduleActionBase):
     """
 
     _validation = {
-        'action_type': {'required': True},
-        'endpoint_invocation_definition': {'required': True},
+        "action_type": {"required": True},
+        "endpoint_invocation_definition": {"required": True},
     }
 
     _attribute_map = {
-        'action_type': {'key': 'actionType', 'type': 'str'},
-        'endpoint_invocation_definition': {'key': 'endpointInvocationDefinition', 'type': 'object'},
+        "action_type": {"key": "actionType", "type": "str"},
+        "endpoint_invocation_definition": {"key": "endpointInvocationDefinition", "type": "object"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword endpoint_invocation_definition: Required. [Required] Defines Schedule action
          definition details.
@@ -12971,8 +12244,8 @@ def __init__(
         :paramtype endpoint_invocation_definition: any
         """
         super(EndpointScheduleAction, self).__init__(**kwargs)
-        self.action_type = 'InvokeBatchEndpoint'  # type: str
-        self.endpoint_invocation_definition = kwargs['endpoint_invocation_definition']
+        self.action_type = "InvokeBatchEndpoint"  # type: str
+        self.endpoint_invocation_definition = kwargs["endpoint_invocation_definition"]
 
 
 class EnvironmentContainer(ProxyResource):
@@ -12998,32 +12271,29 @@ class EnvironmentContainer(ProxyResource):
     """
 
     _validation = {
-        'id': {'readonly': True},
-        'name': {'readonly': True},
-        'type': {'readonly': True},
-        'system_data': {'readonly': True},
-        'properties': {'required': True},
+        "id": {"readonly": True},
+        "name": {"readonly": True},
+        "type": {"readonly": True},
+        "system_data": {"readonly": True},
+        "properties": {"required": True},
     }
 
     _attribute_map = {
-        'id': {'key': 'id', 'type': 'str'},
-        'name': {'key': 'name', 'type': 'str'},
-        'type': {'key': 'type', 'type': 'str'},
-        'system_data': {'key': 'systemData', 'type': 'SystemData'},
-        'properties': {'key': 'properties', 'type': 'EnvironmentContainerProperties'},
+        "id": {"key": "id", "type": "str"},
+        "name": {"key": "name", "type": "str"},
+        "type": {"key": "type", "type": "str"},
+        "system_data": {"key": "systemData", "type": "SystemData"},
+        "properties": {"key": "properties", "type": "EnvironmentContainerProperties"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword properties: Required. [Required] Additional attributes of the entity.
         :paramtype properties:
          ~azure.mgmt.machinelearningservices.models.EnvironmentContainerProperties
         """
         super(EnvironmentContainer, self).__init__(**kwargs)
-        self.properties = kwargs['properties']
+        self.properties = kwargs["properties"]
 
 
 class EnvironmentContainerProperties(AssetContainer):
@@ -13050,25 +12320,22 @@ class EnvironmentContainerProperties(AssetContainer):
     """
 
     _validation = {
-        'latest_version': {'readonly': True},
-        'next_version': {'readonly': True},
-        'provisioning_state': {'readonly': True},
+        "latest_version": {"readonly": True},
+        "next_version": {"readonly": True},
+        "provisioning_state": {"readonly": True},
     }
 
     _attribute_map = {
-        'description': {'key': 'description', 'type': 'str'},
-        'properties': {'key': 'properties', 'type': '{str}'},
-        'tags': {'key': 'tags', 'type': '{str}'},
-        'is_archived': {'key': 'isArchived', 'type': 'bool'},
-        'latest_version': {'key': 'latestVersion', 'type': 'str'},
-        'next_version': {'key': 'nextVersion', 'type': 'str'},
-        'provisioning_state': {'key': 'provisioningState', 'type': 'str'},
+        "description": {"key": "description", "type": "str"},
+        "properties": {"key": "properties", "type": "{str}"},
+        "tags": {"key": "tags", "type": "{str}"},
+        "is_archived": {"key": "isArchived", "type": "bool"},
+        "latest_version": {"key": "latestVersion", "type": "str"},
+        "next_version": {"key": "nextVersion", "type": "str"},
+        "provisioning_state": {"key": "provisioningState", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword description: The asset description text.
         :paramtype description: str
@@ -13094,14 +12361,11 @@ class EnvironmentContainerResourceArmPaginatedResult(msrest.serialization.Model)
     """
 
     _attribute_map = {
-        'next_link': {'key': 'nextLink', 'type': 'str'},
-        'value': {'key': 'value', 'type': '[EnvironmentContainer]'},
+        "next_link": {"key": "nextLink", "type": "str"},
+        "value": {"key": "value", "type": "[EnvironmentContainer]"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword next_link: The link to the next page of EnvironmentContainer objects. If null, there
          are no additional pages.
@@ -13110,8 +12374,8 @@ def __init__(
         :paramtype value: list[~azure.mgmt.machinelearningservices.models.EnvironmentContainer]
         """
         super(EnvironmentContainerResourceArmPaginatedResult, self).__init__(**kwargs)
-        self.next_link = kwargs.get('next_link', None)
-        self.value = kwargs.get('value', None)
+        self.next_link = kwargs.get("next_link", None)
+        self.value = kwargs.get("value", None)
 
 
 class EnvironmentVariable(msrest.serialization.Model):
@@ -13128,15 +12392,12 @@ class EnvironmentVariable(msrest.serialization.Model):
     """
 
     _attribute_map = {
-        'additional_properties': {'key': '', 'type': '{object}'},
-        'type': {'key': 'type', 'type': 'str'},
-        'value': {'key': 'value', 'type': 'str'},
+        "additional_properties": {"key": "", "type": "{object}"},
+        "type": {"key": "type", "type": "str"},
+        "value": {"key": "value", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword additional_properties: Unmatched properties from the message are deserialized to this
          collection.
@@ -13148,9 +12409,9 @@ def __init__(
         :paramtype value: str
         """
         super(EnvironmentVariable, self).__init__(**kwargs)
-        self.additional_properties = kwargs.get('additional_properties', None)
-        self.type = kwargs.get('type', "local")
-        self.value = kwargs.get('value', None)
+        self.additional_properties = kwargs.get("additional_properties", None)
+        self.type = kwargs.get("type", "local")
+        self.value = kwargs.get("value", None)
 
 
 class EnvironmentVersion(ProxyResource):
@@ -13176,31 +12437,28 @@ class EnvironmentVersion(ProxyResource):
     """
 
     _validation = {
-        'id': {'readonly': True},
-        'name': {'readonly': True},
-        'type': {'readonly': True},
-        'system_data': {'readonly': True},
-        'properties': {'required': True},
+        "id": {"readonly": True},
+        "name": {"readonly": True},
+        "type": {"readonly": True},
+        "system_data": {"readonly": True},
+        "properties": {"required": True},
     }
 
     _attribute_map = {
-        'id': {'key': 'id', 'type': 'str'},
-        'name': {'key': 'name', 'type': 'str'},
-        'type': {'key': 'type', 'type': 'str'},
-        'system_data': {'key': 'systemData', 'type': 'SystemData'},
-        'properties': {'key': 'properties', 'type': 'EnvironmentVersionProperties'},
+        "id": {"key": "id", "type": "str"},
+        "name": {"key": "name", "type": "str"},
+        "type": {"key": "type", "type": "str"},
+        "system_data": {"key": "systemData", "type": "SystemData"},
+        "properties": {"key": "properties", "type": "EnvironmentVersionProperties"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword properties: Required. [Required] Additional attributes of the entity.
         :paramtype properties: ~azure.mgmt.machinelearningservices.models.EnvironmentVersionProperties
         """
         super(EnvironmentVersion, self).__init__(**kwargs)
-        self.properties = kwargs['properties']
+        self.properties = kwargs["properties"]
 
 
 class EnvironmentVersionProperties(AssetBase):
@@ -13273,33 +12531,30 @@ class EnvironmentVersionProperties(AssetBase):
     """
 
     _validation = {
-        'environment_type': {'readonly': True},
-        'provisioning_state': {'readonly': True},
+        "environment_type": {"readonly": True},
+        "provisioning_state": {"readonly": True},
     }
 
     _attribute_map = {
-        'description': {'key': 'description', 'type': 'str'},
-        'properties': {'key': 'properties', 'type': '{str}'},
-        'tags': {'key': 'tags', 'type': '{str}'},
-        'auto_delete_setting': {'key': 'autoDeleteSetting', 'type': 'AutoDeleteSetting'},
-        'is_anonymous': {'key': 'isAnonymous', 'type': 'bool'},
-        'is_archived': {'key': 'isArchived', 'type': 'bool'},
-        'auto_rebuild': {'key': 'autoRebuild', 'type': 'str'},
-        'build': {'key': 'build', 'type': 'BuildContext'},
-        'conda_file': {'key': 'condaFile', 'type': 'str'},
-        'environment_type': {'key': 'environmentType', 'type': 'str'},
-        'image': {'key': 'image', 'type': 'str'},
-        'inference_config': {'key': 'inferenceConfig', 'type': 'InferenceContainerProperties'},
-        'intellectual_property': {'key': 'intellectualProperty', 'type': 'IntellectualProperty'},
-        'os_type': {'key': 'osType', 'type': 'str'},
-        'provisioning_state': {'key': 'provisioningState', 'type': 'str'},
-        'stage': {'key': 'stage', 'type': 'str'},
+        "description": {"key": "description", "type": "str"},
+        "properties": {"key": "properties", "type": "{str}"},
+        "tags": {"key": "tags", "type": "{str}"},
+        "auto_delete_setting": {"key": "autoDeleteSetting", "type": "AutoDeleteSetting"},
+        "is_anonymous": {"key": "isAnonymous", "type": "bool"},
+        "is_archived": {"key": "isArchived", "type": "bool"},
+        "auto_rebuild": {"key": "autoRebuild", "type": "str"},
+        "build": {"key": "build", "type": "BuildContext"},
+        "conda_file": {"key": "condaFile", "type": "str"},
+        "environment_type": {"key": "environmentType", "type": "str"},
+        "image": {"key": "image", "type": "str"},
+        "inference_config": {"key": "inferenceConfig", "type": "InferenceContainerProperties"},
+        "intellectual_property": {"key": "intellectualProperty", "type": "IntellectualProperty"},
+        "os_type": {"key": "osType", "type": "str"},
+        "provisioning_state": {"key": "provisioningState", "type": "str"},
+        "stage": {"key": "stage", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword description: The asset description text.
         :paramtype description: str
@@ -13352,16 +12607,16 @@ def __init__(
         :paramtype stage: str
         """
         super(EnvironmentVersionProperties, self).__init__(**kwargs)
-        self.auto_rebuild = kwargs.get('auto_rebuild', None)
-        self.build = kwargs.get('build', None)
-        self.conda_file = kwargs.get('conda_file', None)
+        self.auto_rebuild = kwargs.get("auto_rebuild", None)
+        self.build = kwargs.get("build", None)
+        self.conda_file = kwargs.get("conda_file", None)
         self.environment_type = None
-        self.image = kwargs.get('image', None)
-        self.inference_config = kwargs.get('inference_config', None)
-        self.intellectual_property = kwargs.get('intellectual_property', None)
-        self.os_type = kwargs.get('os_type', None)
+        self.image = kwargs.get("image", None)
+        self.inference_config = kwargs.get("inference_config", None)
+        self.intellectual_property = kwargs.get("intellectual_property", None)
+        self.os_type = kwargs.get("os_type", None)
         self.provisioning_state = None
-        self.stage = kwargs.get('stage', None)
+        self.stage = kwargs.get("stage", None)
 
 
 class EnvironmentVersionResourceArmPaginatedResult(msrest.serialization.Model):
@@ -13375,14 +12630,11 @@ class EnvironmentVersionResourceArmPaginatedResult(msrest.serialization.Model):
     """
 
     _attribute_map = {
-        'next_link': {'key': 'nextLink', 'type': 'str'},
-        'value': {'key': 'value', 'type': '[EnvironmentVersion]'},
+        "next_link": {"key": "nextLink", "type": "str"},
+        "value": {"key": "value", "type": "[EnvironmentVersion]"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword next_link: The link to the next page of EnvironmentVersion objects. If null, there are
          no additional pages.
@@ -13391,8 +12643,8 @@ def __init__(
         :paramtype value: list[~azure.mgmt.machinelearningservices.models.EnvironmentVersion]
         """
         super(EnvironmentVersionResourceArmPaginatedResult, self).__init__(**kwargs)
-        self.next_link = kwargs.get('next_link', None)
-        self.value = kwargs.get('value', None)
+        self.next_link = kwargs.get("next_link", None)
+        self.value = kwargs.get("value", None)
 
 
 class ErrorAdditionalInfo(msrest.serialization.Model):
@@ -13407,21 +12659,17 @@ class ErrorAdditionalInfo(msrest.serialization.Model):
     """
 
     _validation = {
-        'type': {'readonly': True},
-        'info': {'readonly': True},
+        "type": {"readonly": True},
+        "info": {"readonly": True},
     }
 
     _attribute_map = {
-        'type': {'key': 'type', 'type': 'str'},
-        'info': {'key': 'info', 'type': 'object'},
+        "type": {"key": "type", "type": "str"},
+        "info": {"key": "info", "type": "object"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
-        """
-        """
+    def __init__(self, **kwargs):
+        """ """
         super(ErrorAdditionalInfo, self).__init__(**kwargs)
         self.type = None
         self.info = None
@@ -13445,27 +12693,23 @@ class ErrorDetail(msrest.serialization.Model):
     """
 
     _validation = {
-        'code': {'readonly': True},
-        'message': {'readonly': True},
-        'target': {'readonly': True},
-        'details': {'readonly': True},
-        'additional_info': {'readonly': True},
+        "code": {"readonly": True},
+        "message": {"readonly": True},
+        "target": {"readonly": True},
+        "details": {"readonly": True},
+        "additional_info": {"readonly": True},
     }
 
     _attribute_map = {
-        'code': {'key': 'code', 'type': 'str'},
-        'message': {'key': 'message', 'type': 'str'},
-        'target': {'key': 'target', 'type': 'str'},
-        'details': {'key': 'details', 'type': '[ErrorDetail]'},
-        'additional_info': {'key': 'additionalInfo', 'type': '[ErrorAdditionalInfo]'},
+        "code": {"key": "code", "type": "str"},
+        "message": {"key": "message", "type": "str"},
+        "target": {"key": "target", "type": "str"},
+        "details": {"key": "details", "type": "[ErrorDetail]"},
+        "additional_info": {"key": "additionalInfo", "type": "[ErrorAdditionalInfo]"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
-        """
-        """
+    def __init__(self, **kwargs):
+        """ """
         super(ErrorDetail, self).__init__(**kwargs)
         self.code = None
         self.message = None
@@ -13482,19 +12726,16 @@ class ErrorResponse(msrest.serialization.Model):
     """
 
     _attribute_map = {
-        'error': {'key': 'error', 'type': 'ErrorDetail'},
+        "error": {"key": "error", "type": "ErrorDetail"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword error: The error object.
         :paramtype error: ~azure.mgmt.machinelearningservices.models.ErrorDetail
         """
         super(ErrorResponse, self).__init__(**kwargs)
-        self.error = kwargs.get('error', None)
+        self.error = kwargs.get("error", None)
 
 
 class EstimatedVMPrice(msrest.serialization.Model):
@@ -13513,21 +12754,18 @@ class EstimatedVMPrice(msrest.serialization.Model):
     """
 
     _validation = {
-        'retail_price': {'required': True},
-        'os_type': {'required': True},
-        'vm_tier': {'required': True},
+        "retail_price": {"required": True},
+        "os_type": {"required": True},
+        "vm_tier": {"required": True},
     }
 
     _attribute_map = {
-        'retail_price': {'key': 'retailPrice', 'type': 'float'},
-        'os_type': {'key': 'osType', 'type': 'str'},
-        'vm_tier': {'key': 'vmTier', 'type': 'str'},
+        "retail_price": {"key": "retailPrice", "type": "float"},
+        "os_type": {"key": "osType", "type": "str"},
+        "vm_tier": {"key": "vmTier", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword retail_price: Required. The price charged for using the VM.
         :paramtype retail_price: float
@@ -13539,9 +12777,9 @@ def __init__(
         :paramtype vm_tier: str or ~azure.mgmt.machinelearningservices.models.VMTier
         """
         super(EstimatedVMPrice, self).__init__(**kwargs)
-        self.retail_price = kwargs['retail_price']
-        self.os_type = kwargs['os_type']
-        self.vm_tier = kwargs['vm_tier']
+        self.retail_price = kwargs["retail_price"]
+        self.os_type = kwargs["os_type"]
+        self.vm_tier = kwargs["vm_tier"]
 
 
 class EstimatedVMPrices(msrest.serialization.Model):
@@ -13561,21 +12799,18 @@ class EstimatedVMPrices(msrest.serialization.Model):
     """
 
     _validation = {
-        'billing_currency': {'required': True},
-        'unit_of_measure': {'required': True},
-        'values': {'required': True},
+        "billing_currency": {"required": True},
+        "unit_of_measure": {"required": True},
+        "values": {"required": True},
     }
 
     _attribute_map = {
-        'billing_currency': {'key': 'billingCurrency', 'type': 'str'},
-        'unit_of_measure': {'key': 'unitOfMeasure', 'type': 'str'},
-        'values': {'key': 'values', 'type': '[EstimatedVMPrice]'},
+        "billing_currency": {"key": "billingCurrency", "type": "str"},
+        "unit_of_measure": {"key": "unitOfMeasure", "type": "str"},
+        "values": {"key": "values", "type": "[EstimatedVMPrice]"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword billing_currency: Required. Three lettered code specifying the currency of the VM
          price. Example: USD. Possible values include: "USD".
@@ -13588,9 +12823,9 @@ def __init__(
         :paramtype values: list[~azure.mgmt.machinelearningservices.models.EstimatedVMPrice]
         """
         super(EstimatedVMPrices, self).__init__(**kwargs)
-        self.billing_currency = kwargs['billing_currency']
-        self.unit_of_measure = kwargs['unit_of_measure']
-        self.values = kwargs['values']
+        self.billing_currency = kwargs["billing_currency"]
+        self.unit_of_measure = kwargs["unit_of_measure"]
+        self.values = kwargs["values"]
 
 
 class ExternalFQDNResponse(msrest.serialization.Model):
@@ -13601,19 +12836,16 @@ class ExternalFQDNResponse(msrest.serialization.Model):
     """
 
     _attribute_map = {
-        'value': {'key': 'value', 'type': '[FQDNEndpointsPropertyBag]'},
+        "value": {"key": "value", "type": "[FQDNEndpointsPropertyBag]"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword value:
         :paramtype value: list[~azure.mgmt.machinelearningservices.models.FQDNEndpointsPropertyBag]
         """
         super(ExternalFQDNResponse, self).__init__(**kwargs)
-        self.value = kwargs.get('value', None)
+        self.value = kwargs.get("value", None)
 
 
 class Feature(ProxyResource):
@@ -13639,31 +12871,28 @@ class Feature(ProxyResource):
     """
 
     _validation = {
-        'id': {'readonly': True},
-        'name': {'readonly': True},
-        'type': {'readonly': True},
-        'system_data': {'readonly': True},
-        'properties': {'required': True},
+        "id": {"readonly": True},
+        "name": {"readonly": True},
+        "type": {"readonly": True},
+        "system_data": {"readonly": True},
+        "properties": {"required": True},
     }
 
     _attribute_map = {
-        'id': {'key': 'id', 'type': 'str'},
-        'name': {'key': 'name', 'type': 'str'},
-        'type': {'key': 'type', 'type': 'str'},
-        'system_data': {'key': 'systemData', 'type': 'SystemData'},
-        'properties': {'key': 'properties', 'type': 'FeatureProperties'},
+        "id": {"key": "id", "type": "str"},
+        "name": {"key": "name", "type": "str"},
+        "type": {"key": "type", "type": "str"},
+        "system_data": {"key": "systemData", "type": "SystemData"},
+        "properties": {"key": "properties", "type": "FeatureProperties"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword properties: Required. [Required] Additional attributes of the entity.
         :paramtype properties: ~azure.mgmt.machinelearningservices.models.FeatureProperties
         """
         super(Feature, self).__init__(**kwargs)
-        self.properties = kwargs['properties']
+        self.properties = kwargs["properties"]
 
 
 class FeatureAttributionDriftMonitoringSignal(MonitoringSignalBase):
@@ -13701,28 +12930,25 @@ class FeatureAttributionDriftMonitoringSignal(MonitoringSignalBase):
     """
 
     _validation = {
-        'signal_type': {'required': True},
-        'feature_importance_settings': {'required': True},
-        'metric_threshold': {'required': True},
-        'production_data': {'required': True},
-        'reference_data': {'required': True},
+        "signal_type": {"required": True},
+        "feature_importance_settings": {"required": True},
+        "metric_threshold": {"required": True},
+        "production_data": {"required": True},
+        "reference_data": {"required": True},
     }
 
     _attribute_map = {
-        'notification_types': {'key': 'notificationTypes', 'type': '[str]'},
-        'properties': {'key': 'properties', 'type': '{str}'},
-        'signal_type': {'key': 'signalType', 'type': 'str'},
-        'feature_data_type_override': {'key': 'featureDataTypeOverride', 'type': '{str}'},
-        'feature_importance_settings': {'key': 'featureImportanceSettings', 'type': 'FeatureImportanceSettings'},
-        'metric_threshold': {'key': 'metricThreshold', 'type': 'FeatureAttributionMetricThreshold'},
-        'production_data': {'key': 'productionData', 'type': '[MonitoringInputDataBase]'},
-        'reference_data': {'key': 'referenceData', 'type': 'MonitoringInputDataBase'},
+        "notification_types": {"key": "notificationTypes", "type": "[str]"},
+        "properties": {"key": "properties", "type": "{str}"},
+        "signal_type": {"key": "signalType", "type": "str"},
+        "feature_data_type_override": {"key": "featureDataTypeOverride", "type": "{str}"},
+        "feature_importance_settings": {"key": "featureImportanceSettings", "type": "FeatureImportanceSettings"},
+        "metric_threshold": {"key": "metricThreshold", "type": "FeatureAttributionMetricThreshold"},
+        "production_data": {"key": "productionData", "type": "[MonitoringInputDataBase]"},
+        "reference_data": {"key": "referenceData", "type": "MonitoringInputDataBase"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword notification_types: The current notification mode for this signal.
         :paramtype notification_types: list[str or
@@ -13748,12 +12974,12 @@ def __init__(
         :paramtype reference_data: ~azure.mgmt.machinelearningservices.models.MonitoringInputDataBase
         """
         super(FeatureAttributionDriftMonitoringSignal, self).__init__(**kwargs)
-        self.signal_type = 'FeatureAttributionDrift'  # type: str
-        self.feature_data_type_override = kwargs.get('feature_data_type_override', None)
-        self.feature_importance_settings = kwargs['feature_importance_settings']
-        self.metric_threshold = kwargs['metric_threshold']
-        self.production_data = kwargs['production_data']
-        self.reference_data = kwargs['reference_data']
+        self.signal_type = "FeatureAttributionDrift"  # type: str
+        self.feature_data_type_override = kwargs.get("feature_data_type_override", None)
+        self.feature_importance_settings = kwargs["feature_importance_settings"]
+        self.metric_threshold = kwargs["metric_threshold"]
+        self.production_data = kwargs["production_data"]
+        self.reference_data = kwargs["reference_data"]
 
 
 class FeatureAttributionMetricThreshold(msrest.serialization.Model):
@@ -13770,18 +12996,15 @@ class FeatureAttributionMetricThreshold(msrest.serialization.Model):
     """
 
     _validation = {
-        'metric': {'required': True},
+        "metric": {"required": True},
     }
 
     _attribute_map = {
-        'metric': {'key': 'metric', 'type': 'str'},
-        'threshold': {'key': 'threshold', 'type': 'MonitoringThreshold'},
+        "metric": {"key": "metric", "type": "str"},
+        "threshold": {"key": "threshold", "type": "MonitoringThreshold"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword metric: Required. [Required] The feature attribution metric to calculate. Possible
          values include: "NormalizedDiscountedCumulativeGain".
@@ -13791,8 +13014,8 @@ def __init__(
         :paramtype threshold: ~azure.mgmt.machinelearningservices.models.MonitoringThreshold
         """
         super(FeatureAttributionMetricThreshold, self).__init__(**kwargs)
-        self.metric = kwargs['metric']
-        self.threshold = kwargs.get('threshold', None)
+        self.metric = kwargs["metric"]
+        self.threshold = kwargs.get("threshold", None)
 
 
 class FeatureImportanceSettings(msrest.serialization.Model):
@@ -13806,14 +13029,11 @@ class FeatureImportanceSettings(msrest.serialization.Model):
     """
 
     _attribute_map = {
-        'mode': {'key': 'mode', 'type': 'str'},
-        'target_column': {'key': 'targetColumn', 'type': 'str'},
+        "mode": {"key": "mode", "type": "str"},
+        "target_column": {"key": "targetColumn", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword mode: The mode of operation for computing feature importance. Possible values include:
          "Disabled", "Enabled".
@@ -13822,8 +13042,8 @@ def __init__(
         :paramtype target_column: str
         """
         super(FeatureImportanceSettings, self).__init__(**kwargs)
-        self.mode = kwargs.get('mode', None)
-        self.target_column = kwargs.get('target_column', None)
+        self.mode = kwargs.get("mode", None)
+        self.target_column = kwargs.get("target_column", None)
 
 
 class FeatureProperties(ResourceBase):
@@ -13843,17 +13063,14 @@ class FeatureProperties(ResourceBase):
     """
 
     _attribute_map = {
-        'description': {'key': 'description', 'type': 'str'},
-        'properties': {'key': 'properties', 'type': '{str}'},
-        'tags': {'key': 'tags', 'type': '{str}'},
-        'data_type': {'key': 'dataType', 'type': 'str'},
-        'feature_name': {'key': 'featureName', 'type': 'str'},
+        "description": {"key": "description", "type": "str"},
+        "properties": {"key": "properties", "type": "{str}"},
+        "tags": {"key": "tags", "type": "{str}"},
+        "data_type": {"key": "dataType", "type": "str"},
+        "feature_name": {"key": "featureName", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword description: The asset description text.
         :paramtype description: str
@@ -13868,8 +13085,8 @@ def __init__(
         :paramtype feature_name: str
         """
         super(FeatureProperties, self).__init__(**kwargs)
-        self.data_type = kwargs.get('data_type', None)
-        self.feature_name = kwargs.get('feature_name', None)
+        self.data_type = kwargs.get("data_type", None)
+        self.feature_name = kwargs.get("feature_name", None)
 
 
 class FeatureResourceArmPaginatedResult(msrest.serialization.Model):
@@ -13883,14 +13100,11 @@ class FeatureResourceArmPaginatedResult(msrest.serialization.Model):
     """
 
     _attribute_map = {
-        'next_link': {'key': 'nextLink', 'type': 'str'},
-        'value': {'key': 'value', 'type': '[Feature]'},
+        "next_link": {"key": "nextLink", "type": "str"},
+        "value": {"key": "value", "type": "[Feature]"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword next_link: The link to the next page of Feature objects. If null, there are no
          additional pages.
@@ -13899,8 +13113,8 @@ def __init__(
         :paramtype value: list[~azure.mgmt.machinelearningservices.models.Feature]
         """
         super(FeatureResourceArmPaginatedResult, self).__init__(**kwargs)
-        self.next_link = kwargs.get('next_link', None)
-        self.value = kwargs.get('value', None)
+        self.next_link = kwargs.get("next_link", None)
+        self.value = kwargs.get("value", None)
 
 
 class FeaturesetContainer(ProxyResource):
@@ -13926,31 +13140,28 @@ class FeaturesetContainer(ProxyResource):
     """
 
     _validation = {
-        'id': {'readonly': True},
-        'name': {'readonly': True},
-        'type': {'readonly': True},
-        'system_data': {'readonly': True},
-        'properties': {'required': True},
+        "id": {"readonly": True},
+        "name": {"readonly": True},
+        "type": {"readonly": True},
+        "system_data": {"readonly": True},
+        "properties": {"required": True},
     }
 
     _attribute_map = {
-        'id': {'key': 'id', 'type': 'str'},
-        'name': {'key': 'name', 'type': 'str'},
-        'type': {'key': 'type', 'type': 'str'},
-        'system_data': {'key': 'systemData', 'type': 'SystemData'},
-        'properties': {'key': 'properties', 'type': 'FeaturesetContainerProperties'},
+        "id": {"key": "id", "type": "str"},
+        "name": {"key": "name", "type": "str"},
+        "type": {"key": "type", "type": "str"},
+        "system_data": {"key": "systemData", "type": "SystemData"},
+        "properties": {"key": "properties", "type": "FeaturesetContainerProperties"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword properties: Required. [Required] Additional attributes of the entity.
         :paramtype properties: ~azure.mgmt.machinelearningservices.models.FeaturesetContainerProperties
         """
         super(FeaturesetContainer, self).__init__(**kwargs)
-        self.properties = kwargs['properties']
+        self.properties = kwargs["properties"]
 
 
 class FeaturesetContainerProperties(AssetContainer):
@@ -13977,25 +13188,22 @@ class FeaturesetContainerProperties(AssetContainer):
     """
 
     _validation = {
-        'latest_version': {'readonly': True},
-        'next_version': {'readonly': True},
-        'provisioning_state': {'readonly': True},
+        "latest_version": {"readonly": True},
+        "next_version": {"readonly": True},
+        "provisioning_state": {"readonly": True},
     }
 
     _attribute_map = {
-        'description': {'key': 'description', 'type': 'str'},
-        'properties': {'key': 'properties', 'type': '{str}'},
-        'tags': {'key': 'tags', 'type': '{str}'},
-        'is_archived': {'key': 'isArchived', 'type': 'bool'},
-        'latest_version': {'key': 'latestVersion', 'type': 'str'},
-        'next_version': {'key': 'nextVersion', 'type': 'str'},
-        'provisioning_state': {'key': 'provisioningState', 'type': 'str'},
+        "description": {"key": "description", "type": "str"},
+        "properties": {"key": "properties", "type": "{str}"},
+        "tags": {"key": "tags", "type": "{str}"},
+        "is_archived": {"key": "isArchived", "type": "bool"},
+        "latest_version": {"key": "latestVersion", "type": "str"},
+        "next_version": {"key": "nextVersion", "type": "str"},
+        "provisioning_state": {"key": "provisioningState", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword description: The asset description text.
         :paramtype description: str
@@ -14021,14 +13229,11 @@ class FeaturesetContainerResourceArmPaginatedResult(msrest.serialization.Model):
     """
 
     _attribute_map = {
-        'next_link': {'key': 'nextLink', 'type': 'str'},
-        'value': {'key': 'value', 'type': '[FeaturesetContainer]'},
+        "next_link": {"key": "nextLink", "type": "str"},
+        "value": {"key": "value", "type": "[FeaturesetContainer]"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword next_link: The link to the next page of FeaturesetContainer objects. If null, there
          are no additional pages.
@@ -14037,8 +13242,8 @@ def __init__(
         :paramtype value: list[~azure.mgmt.machinelearningservices.models.FeaturesetContainer]
         """
         super(FeaturesetContainerResourceArmPaginatedResult, self).__init__(**kwargs)
-        self.next_link = kwargs.get('next_link', None)
-        self.value = kwargs.get('value', None)
+        self.next_link = kwargs.get("next_link", None)
+        self.value = kwargs.get("value", None)
 
 
 class FeaturesetSpecification(msrest.serialization.Model):
@@ -14049,19 +13254,16 @@ class FeaturesetSpecification(msrest.serialization.Model):
     """
 
     _attribute_map = {
-        'path': {'key': 'path', 'type': 'str'},
+        "path": {"key": "path", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword path: Specifies the spec path.
         :paramtype path: str
         """
         super(FeaturesetSpecification, self).__init__(**kwargs)
-        self.path = kwargs.get('path', None)
+        self.path = kwargs.get("path", None)
 
 
 class FeaturesetVersion(ProxyResource):
@@ -14087,31 +13289,28 @@ class FeaturesetVersion(ProxyResource):
     """
 
     _validation = {
-        'id': {'readonly': True},
-        'name': {'readonly': True},
-        'type': {'readonly': True},
-        'system_data': {'readonly': True},
-        'properties': {'required': True},
+        "id": {"readonly": True},
+        "name": {"readonly": True},
+        "type": {"readonly": True},
+        "system_data": {"readonly": True},
+        "properties": {"required": True},
     }
 
     _attribute_map = {
-        'id': {'key': 'id', 'type': 'str'},
-        'name': {'key': 'name', 'type': 'str'},
-        'type': {'key': 'type', 'type': 'str'},
-        'system_data': {'key': 'systemData', 'type': 'SystemData'},
-        'properties': {'key': 'properties', 'type': 'FeaturesetVersionProperties'},
+        "id": {"key": "id", "type": "str"},
+        "name": {"key": "name", "type": "str"},
+        "type": {"key": "type", "type": "str"},
+        "system_data": {"key": "systemData", "type": "SystemData"},
+        "properties": {"key": "properties", "type": "FeaturesetVersionProperties"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword properties: Required. [Required] Additional attributes of the entity.
         :paramtype properties: ~azure.mgmt.machinelearningservices.models.FeaturesetVersionProperties
         """
         super(FeaturesetVersion, self).__init__(**kwargs)
-        self.properties = kwargs['properties']
+        self.properties = kwargs["properties"]
 
 
 class FeaturesetVersionBackfillRequest(msrest.serialization.Model):
@@ -14140,21 +13339,18 @@ class FeaturesetVersionBackfillRequest(msrest.serialization.Model):
     """
 
     _attribute_map = {
-        'data_availability_status': {'key': 'dataAvailabilityStatus', 'type': '[str]'},
-        'description': {'key': 'description', 'type': 'str'},
-        'display_name': {'key': 'displayName', 'type': 'str'},
-        'feature_window': {'key': 'featureWindow', 'type': 'FeatureWindow'},
-        'job_id': {'key': 'jobId', 'type': 'str'},
-        'properties': {'key': 'properties', 'type': '{str}'},
-        'resource': {'key': 'resource', 'type': 'MaterializationComputeResource'},
-        'spark_configuration': {'key': 'sparkConfiguration', 'type': '{str}'},
-        'tags': {'key': 'tags', 'type': '{str}'},
+        "data_availability_status": {"key": "dataAvailabilityStatus", "type": "[str]"},
+        "description": {"key": "description", "type": "str"},
+        "display_name": {"key": "displayName", "type": "str"},
+        "feature_window": {"key": "featureWindow", "type": "FeatureWindow"},
+        "job_id": {"key": "jobId", "type": "str"},
+        "properties": {"key": "properties", "type": "{str}"},
+        "resource": {"key": "resource", "type": "MaterializationComputeResource"},
+        "spark_configuration": {"key": "sparkConfiguration", "type": "{str}"},
+        "tags": {"key": "tags", "type": "{str}"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword data_availability_status: Specified the data availability status that you want to
          backfill.
@@ -14178,15 +13374,15 @@ def __init__(
         :paramtype tags: dict[str, str]
         """
         super(FeaturesetVersionBackfillRequest, self).__init__(**kwargs)
-        self.data_availability_status = kwargs.get('data_availability_status', None)
-        self.description = kwargs.get('description', None)
-        self.display_name = kwargs.get('display_name', None)
-        self.feature_window = kwargs.get('feature_window', None)
-        self.job_id = kwargs.get('job_id', None)
-        self.properties = kwargs.get('properties', None)
-        self.resource = kwargs.get('resource', None)
-        self.spark_configuration = kwargs.get('spark_configuration', None)
-        self.tags = kwargs.get('tags', None)
+        self.data_availability_status = kwargs.get("data_availability_status", None)
+        self.description = kwargs.get("description", None)
+        self.display_name = kwargs.get("display_name", None)
+        self.feature_window = kwargs.get("feature_window", None)
+        self.job_id = kwargs.get("job_id", None)
+        self.properties = kwargs.get("properties", None)
+        self.resource = kwargs.get("resource", None)
+        self.spark_configuration = kwargs.get("spark_configuration", None)
+        self.tags = kwargs.get("tags", None)
 
 
 class FeaturesetVersionBackfillResponse(msrest.serialization.Model):
@@ -14197,19 +13393,16 @@ class FeaturesetVersionBackfillResponse(msrest.serialization.Model):
     """
 
     _attribute_map = {
-        'job_ids': {'key': 'jobIds', 'type': '[str]'},
+        "job_ids": {"key": "jobIds", "type": "[str]"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword job_ids: List of jobs submitted as part of the backfill request.
         :paramtype job_ids: list[str]
         """
         super(FeaturesetVersionBackfillResponse, self).__init__(**kwargs)
-        self.job_ids = kwargs.get('job_ids', None)
+        self.job_ids = kwargs.get("job_ids", None)
 
 
 class FeaturesetVersionProperties(AssetBase):
@@ -14247,27 +13440,24 @@ class FeaturesetVersionProperties(AssetBase):
     """
 
     _validation = {
-        'provisioning_state': {'readonly': True},
+        "provisioning_state": {"readonly": True},
     }
 
     _attribute_map = {
-        'description': {'key': 'description', 'type': 'str'},
-        'properties': {'key': 'properties', 'type': '{str}'},
-        'tags': {'key': 'tags', 'type': '{str}'},
-        'auto_delete_setting': {'key': 'autoDeleteSetting', 'type': 'AutoDeleteSetting'},
-        'is_anonymous': {'key': 'isAnonymous', 'type': 'bool'},
-        'is_archived': {'key': 'isArchived', 'type': 'bool'},
-        'entities': {'key': 'entities', 'type': '[str]'},
-        'materialization_settings': {'key': 'materializationSettings', 'type': 'MaterializationSettings'},
-        'provisioning_state': {'key': 'provisioningState', 'type': 'str'},
-        'specification': {'key': 'specification', 'type': 'FeaturesetSpecification'},
-        'stage': {'key': 'stage', 'type': 'str'},
+        "description": {"key": "description", "type": "str"},
+        "properties": {"key": "properties", "type": "{str}"},
+        "tags": {"key": "tags", "type": "{str}"},
+        "auto_delete_setting": {"key": "autoDeleteSetting", "type": "AutoDeleteSetting"},
+        "is_anonymous": {"key": "isAnonymous", "type": "bool"},
+        "is_archived": {"key": "isArchived", "type": "bool"},
+        "entities": {"key": "entities", "type": "[str]"},
+        "materialization_settings": {"key": "materializationSettings", "type": "MaterializationSettings"},
+        "provisioning_state": {"key": "provisioningState", "type": "str"},
+        "specification": {"key": "specification", "type": "FeaturesetSpecification"},
+        "stage": {"key": "stage", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword description: The asset description text.
         :paramtype description: str
@@ -14294,11 +13484,11 @@ def __init__(
         :paramtype stage: str
         """
         super(FeaturesetVersionProperties, self).__init__(**kwargs)
-        self.entities = kwargs.get('entities', None)
-        self.materialization_settings = kwargs.get('materialization_settings', None)
+        self.entities = kwargs.get("entities", None)
+        self.materialization_settings = kwargs.get("materialization_settings", None)
         self.provisioning_state = None
-        self.specification = kwargs.get('specification', None)
-        self.stage = kwargs.get('stage', None)
+        self.specification = kwargs.get("specification", None)
+        self.stage = kwargs.get("stage", None)
 
 
 class FeaturesetVersionResourceArmPaginatedResult(msrest.serialization.Model):
@@ -14312,14 +13502,11 @@ class FeaturesetVersionResourceArmPaginatedResult(msrest.serialization.Model):
     """
 
     _attribute_map = {
-        'next_link': {'key': 'nextLink', 'type': 'str'},
-        'value': {'key': 'value', 'type': '[FeaturesetVersion]'},
+        "next_link": {"key": "nextLink", "type": "str"},
+        "value": {"key": "value", "type": "[FeaturesetVersion]"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword next_link: The link to the next page of FeaturesetVersion objects. If null, there are
          no additional pages.
@@ -14328,8 +13515,8 @@ def __init__(
         :paramtype value: list[~azure.mgmt.machinelearningservices.models.FeaturesetVersion]
         """
         super(FeaturesetVersionResourceArmPaginatedResult, self).__init__(**kwargs)
-        self.next_link = kwargs.get('next_link', None)
-        self.value = kwargs.get('value', None)
+        self.next_link = kwargs.get("next_link", None)
+        self.value = kwargs.get("value", None)
 
 
 class FeaturestoreEntityContainer(ProxyResource):
@@ -14356,32 +13543,29 @@ class FeaturestoreEntityContainer(ProxyResource):
     """
 
     _validation = {
-        'id': {'readonly': True},
-        'name': {'readonly': True},
-        'type': {'readonly': True},
-        'system_data': {'readonly': True},
-        'properties': {'required': True},
+        "id": {"readonly": True},
+        "name": {"readonly": True},
+        "type": {"readonly": True},
+        "system_data": {"readonly": True},
+        "properties": {"required": True},
     }
 
     _attribute_map = {
-        'id': {'key': 'id', 'type': 'str'},
-        'name': {'key': 'name', 'type': 'str'},
-        'type': {'key': 'type', 'type': 'str'},
-        'system_data': {'key': 'systemData', 'type': 'SystemData'},
-        'properties': {'key': 'properties', 'type': 'FeaturestoreEntityContainerProperties'},
+        "id": {"key": "id", "type": "str"},
+        "name": {"key": "name", "type": "str"},
+        "type": {"key": "type", "type": "str"},
+        "system_data": {"key": "systemData", "type": "SystemData"},
+        "properties": {"key": "properties", "type": "FeaturestoreEntityContainerProperties"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword properties: Required. [Required] Additional attributes of the entity.
         :paramtype properties:
          ~azure.mgmt.machinelearningservices.models.FeaturestoreEntityContainerProperties
         """
         super(FeaturestoreEntityContainer, self).__init__(**kwargs)
-        self.properties = kwargs['properties']
+        self.properties = kwargs["properties"]
 
 
 class FeaturestoreEntityContainerProperties(AssetContainer):
@@ -14408,25 +13592,22 @@ class FeaturestoreEntityContainerProperties(AssetContainer):
     """
 
     _validation = {
-        'latest_version': {'readonly': True},
-        'next_version': {'readonly': True},
-        'provisioning_state': {'readonly': True},
+        "latest_version": {"readonly": True},
+        "next_version": {"readonly": True},
+        "provisioning_state": {"readonly": True},
     }
 
     _attribute_map = {
-        'description': {'key': 'description', 'type': 'str'},
-        'properties': {'key': 'properties', 'type': '{str}'},
-        'tags': {'key': 'tags', 'type': '{str}'},
-        'is_archived': {'key': 'isArchived', 'type': 'bool'},
-        'latest_version': {'key': 'latestVersion', 'type': 'str'},
-        'next_version': {'key': 'nextVersion', 'type': 'str'},
-        'provisioning_state': {'key': 'provisioningState', 'type': 'str'},
+        "description": {"key": "description", "type": "str"},
+        "properties": {"key": "properties", "type": "{str}"},
+        "tags": {"key": "tags", "type": "{str}"},
+        "is_archived": {"key": "isArchived", "type": "bool"},
+        "latest_version": {"key": "latestVersion", "type": "str"},
+        "next_version": {"key": "nextVersion", "type": "str"},
+        "provisioning_state": {"key": "provisioningState", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword description: The asset description text.
         :paramtype description: str
@@ -14452,14 +13633,11 @@ class FeaturestoreEntityContainerResourceArmPaginatedResult(msrest.serialization
     """
 
     _attribute_map = {
-        'next_link': {'key': 'nextLink', 'type': 'str'},
-        'value': {'key': 'value', 'type': '[FeaturestoreEntityContainer]'},
+        "next_link": {"key": "nextLink", "type": "str"},
+        "value": {"key": "value", "type": "[FeaturestoreEntityContainer]"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword next_link: The link to the next page of FeaturestoreEntityContainer objects. If null,
          there are no additional pages.
@@ -14468,8 +13646,8 @@ def __init__(
         :paramtype value: list[~azure.mgmt.machinelearningservices.models.FeaturestoreEntityContainer]
         """
         super(FeaturestoreEntityContainerResourceArmPaginatedResult, self).__init__(**kwargs)
-        self.next_link = kwargs.get('next_link', None)
-        self.value = kwargs.get('value', None)
+        self.next_link = kwargs.get("next_link", None)
+        self.value = kwargs.get("value", None)
 
 
 class FeaturestoreEntityVersion(ProxyResource):
@@ -14496,32 +13674,29 @@ class FeaturestoreEntityVersion(ProxyResource):
     """
 
     _validation = {
-        'id': {'readonly': True},
-        'name': {'readonly': True},
-        'type': {'readonly': True},
-        'system_data': {'readonly': True},
-        'properties': {'required': True},
+        "id": {"readonly": True},
+        "name": {"readonly": True},
+        "type": {"readonly": True},
+        "system_data": {"readonly": True},
+        "properties": {"required": True},
     }
 
     _attribute_map = {
-        'id': {'key': 'id', 'type': 'str'},
-        'name': {'key': 'name', 'type': 'str'},
-        'type': {'key': 'type', 'type': 'str'},
-        'system_data': {'key': 'systemData', 'type': 'SystemData'},
-        'properties': {'key': 'properties', 'type': 'FeaturestoreEntityVersionProperties'},
+        "id": {"key": "id", "type": "str"},
+        "name": {"key": "name", "type": "str"},
+        "type": {"key": "type", "type": "str"},
+        "system_data": {"key": "systemData", "type": "SystemData"},
+        "properties": {"key": "properties", "type": "FeaturestoreEntityVersionProperties"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword properties: Required. [Required] Additional attributes of the entity.
         :paramtype properties:
          ~azure.mgmt.machinelearningservices.models.FeaturestoreEntityVersionProperties
         """
         super(FeaturestoreEntityVersion, self).__init__(**kwargs)
-        self.properties = kwargs['properties']
+        self.properties = kwargs["properties"]
 
 
 class FeaturestoreEntityVersionProperties(AssetBase):
@@ -14554,25 +13729,22 @@ class FeaturestoreEntityVersionProperties(AssetBase):
     """
 
     _validation = {
-        'provisioning_state': {'readonly': True},
+        "provisioning_state": {"readonly": True},
     }
 
     _attribute_map = {
-        'description': {'key': 'description', 'type': 'str'},
-        'properties': {'key': 'properties', 'type': '{str}'},
-        'tags': {'key': 'tags', 'type': '{str}'},
-        'auto_delete_setting': {'key': 'autoDeleteSetting', 'type': 'AutoDeleteSetting'},
-        'is_anonymous': {'key': 'isAnonymous', 'type': 'bool'},
-        'is_archived': {'key': 'isArchived', 'type': 'bool'},
-        'index_columns': {'key': 'indexColumns', 'type': '[IndexColumn]'},
-        'provisioning_state': {'key': 'provisioningState', 'type': 'str'},
-        'stage': {'key': 'stage', 'type': 'str'},
+        "description": {"key": "description", "type": "str"},
+        "properties": {"key": "properties", "type": "{str}"},
+        "tags": {"key": "tags", "type": "{str}"},
+        "auto_delete_setting": {"key": "autoDeleteSetting", "type": "AutoDeleteSetting"},
+        "is_anonymous": {"key": "isAnonymous", "type": "bool"},
+        "is_archived": {"key": "isArchived", "type": "bool"},
+        "index_columns": {"key": "indexColumns", "type": "[IndexColumn]"},
+        "provisioning_state": {"key": "provisioningState", "type": "str"},
+        "stage": {"key": "stage", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword description: The asset description text.
         :paramtype description: str
@@ -14594,9 +13766,9 @@ def __init__(
         :paramtype stage: str
         """
         super(FeaturestoreEntityVersionProperties, self).__init__(**kwargs)
-        self.index_columns = kwargs.get('index_columns', None)
+        self.index_columns = kwargs.get("index_columns", None)
         self.provisioning_state = None
-        self.stage = kwargs.get('stage', None)
+        self.stage = kwargs.get("stage", None)
 
 
 class FeaturestoreEntityVersionResourceArmPaginatedResult(msrest.serialization.Model):
@@ -14610,14 +13782,11 @@ class FeaturestoreEntityVersionResourceArmPaginatedResult(msrest.serialization.M
     """
 
     _attribute_map = {
-        'next_link': {'key': 'nextLink', 'type': 'str'},
-        'value': {'key': 'value', 'type': '[FeaturestoreEntityVersion]'},
+        "next_link": {"key": "nextLink", "type": "str"},
+        "value": {"key": "value", "type": "[FeaturestoreEntityVersion]"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword next_link: The link to the next page of FeaturestoreEntityVersion objects. If null,
          there are no additional pages.
@@ -14626,8 +13795,8 @@ def __init__(
         :paramtype value: list[~azure.mgmt.machinelearningservices.models.FeaturestoreEntityVersion]
         """
         super(FeaturestoreEntityVersionResourceArmPaginatedResult, self).__init__(**kwargs)
-        self.next_link = kwargs.get('next_link', None)
-        self.value = kwargs.get('value', None)
+        self.next_link = kwargs.get("next_link", None)
+        self.value = kwargs.get("value", None)
 
 
 class FeatureStoreSettings(msrest.serialization.Model):
@@ -14642,15 +13811,12 @@ class FeatureStoreSettings(msrest.serialization.Model):
     """
 
     _attribute_map = {
-        'compute_runtime': {'key': 'computeRuntime', 'type': 'ComputeRuntimeDto'},
-        'offline_store_connection_name': {'key': 'offlineStoreConnectionName', 'type': 'str'},
-        'online_store_connection_name': {'key': 'onlineStoreConnectionName', 'type': 'str'},
+        "compute_runtime": {"key": "computeRuntime", "type": "ComputeRuntimeDto"},
+        "offline_store_connection_name": {"key": "offlineStoreConnectionName", "type": "str"},
+        "online_store_connection_name": {"key": "onlineStoreConnectionName", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword compute_runtime:
         :paramtype compute_runtime: ~azure.mgmt.machinelearningservices.models.ComputeRuntimeDto
@@ -14660,9 +13826,9 @@ def __init__(
         :paramtype online_store_connection_name: str
         """
         super(FeatureStoreSettings, self).__init__(**kwargs)
-        self.compute_runtime = kwargs.get('compute_runtime', None)
-        self.offline_store_connection_name = kwargs.get('offline_store_connection_name', None)
-        self.online_store_connection_name = kwargs.get('online_store_connection_name', None)
+        self.compute_runtime = kwargs.get("compute_runtime", None)
+        self.offline_store_connection_name = kwargs.get("offline_store_connection_name", None)
+        self.online_store_connection_name = kwargs.get("online_store_connection_name", None)
 
 
 class FeatureSubset(MonitoringFeatureFilterBase):
@@ -14680,26 +13846,23 @@ class FeatureSubset(MonitoringFeatureFilterBase):
     """
 
     _validation = {
-        'filter_type': {'required': True},
-        'features': {'required': True},
+        "filter_type": {"required": True},
+        "features": {"required": True},
     }
 
     _attribute_map = {
-        'filter_type': {'key': 'filterType', 'type': 'str'},
-        'features': {'key': 'features', 'type': '[str]'},
+        "filter_type": {"key": "filterType", "type": "str"},
+        "features": {"key": "features", "type": "[str]"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword features: Required. [Required] The list of features to include.
         :paramtype features: list[str]
         """
         super(FeatureSubset, self).__init__(**kwargs)
-        self.filter_type = 'FeatureSubset'  # type: str
-        self.features = kwargs['features']
+        self.filter_type = "FeatureSubset"  # type: str
+        self.features = kwargs["features"]
 
 
 class FeatureWindow(msrest.serialization.Model):
@@ -14712,14 +13875,11 @@ class FeatureWindow(msrest.serialization.Model):
     """
 
     _attribute_map = {
-        'feature_window_end': {'key': 'featureWindowEnd', 'type': 'iso-8601'},
-        'feature_window_start': {'key': 'featureWindowStart', 'type': 'iso-8601'},
+        "feature_window_end": {"key": "featureWindowEnd", "type": "iso-8601"},
+        "feature_window_start": {"key": "featureWindowStart", "type": "iso-8601"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword feature_window_end: Specifies the feature window end time.
         :paramtype feature_window_end: ~datetime.datetime
@@ -14727,8 +13887,8 @@ def __init__(
         :paramtype feature_window_start: ~datetime.datetime
         """
         super(FeatureWindow, self).__init__(**kwargs)
-        self.feature_window_end = kwargs.get('feature_window_end', None)
-        self.feature_window_start = kwargs.get('feature_window_start', None)
+        self.feature_window_end = kwargs.get("feature_window_end", None)
+        self.feature_window_start = kwargs.get("feature_window_start", None)
 
 
 class FeaturizationSettings(msrest.serialization.Model):
@@ -14739,19 +13899,16 @@ class FeaturizationSettings(msrest.serialization.Model):
     """
 
     _attribute_map = {
-        'dataset_language': {'key': 'datasetLanguage', 'type': 'str'},
+        "dataset_language": {"key": "datasetLanguage", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword dataset_language: Dataset language, useful for the text data.
         :paramtype dataset_language: str
         """
         super(FeaturizationSettings, self).__init__(**kwargs)
-        self.dataset_language = kwargs.get('dataset_language', None)
+        self.dataset_language = kwargs.get("dataset_language", None)
 
 
 class FileSystemSource(DataImportSource):
@@ -14769,19 +13926,16 @@ class FileSystemSource(DataImportSource):
     """
 
     _validation = {
-        'source_type': {'required': True},
+        "source_type": {"required": True},
     }
 
     _attribute_map = {
-        'connection': {'key': 'connection', 'type': 'str'},
-        'source_type': {'key': 'sourceType', 'type': 'str'},
-        'path': {'key': 'path', 'type': 'str'},
+        "connection": {"key": "connection", "type": "str"},
+        "source_type": {"key": "sourceType", "type": "str"},
+        "path": {"key": "path", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword connection: Workspace connection for data import source storage.
         :paramtype connection: str
@@ -14789,8 +13943,8 @@ def __init__(
         :paramtype path: str
         """
         super(FileSystemSource, self).__init__(**kwargs)
-        self.source_type = 'file_system'  # type: str
-        self.path = kwargs.get('path', None)
+        self.source_type = "file_system"  # type: str
+        self.path = kwargs.get("path", None)
 
 
 class FineTuningJob(JobBaseProperties):
@@ -14844,35 +13998,32 @@ class FineTuningJob(JobBaseProperties):
     """
 
     _validation = {
-        'job_type': {'required': True},
-        'status': {'readonly': True},
-        'fine_tuning_details': {'required': True},
-        'outputs': {'required': True},
+        "job_type": {"required": True},
+        "status": {"readonly": True},
+        "fine_tuning_details": {"required": True},
+        "outputs": {"required": True},
     }
 
     _attribute_map = {
-        'description': {'key': 'description', 'type': 'str'},
-        'properties': {'key': 'properties', 'type': '{str}'},
-        'tags': {'key': 'tags', 'type': '{str}'},
-        'component_id': {'key': 'componentId', 'type': 'str'},
-        'compute_id': {'key': 'computeId', 'type': 'str'},
-        'display_name': {'key': 'displayName', 'type': 'str'},
-        'experiment_name': {'key': 'experimentName', 'type': 'str'},
-        'identity': {'key': 'identity', 'type': 'IdentityConfiguration'},
-        'is_archived': {'key': 'isArchived', 'type': 'bool'},
-        'job_type': {'key': 'jobType', 'type': 'str'},
-        'notification_setting': {'key': 'notificationSetting', 'type': 'NotificationSetting'},
-        'secrets_configuration': {'key': 'secretsConfiguration', 'type': '{SecretConfiguration}'},
-        'services': {'key': 'services', 'type': '{JobService}'},
-        'status': {'key': 'status', 'type': 'str'},
-        'fine_tuning_details': {'key': 'fineTuningDetails', 'type': 'FineTuningVertical'},
-        'outputs': {'key': 'outputs', 'type': '{JobOutput}'},
+        "description": {"key": "description", "type": "str"},
+        "properties": {"key": "properties", "type": "{str}"},
+        "tags": {"key": "tags", "type": "{str}"},
+        "component_id": {"key": "componentId", "type": "str"},
+        "compute_id": {"key": "computeId", "type": "str"},
+        "display_name": {"key": "displayName", "type": "str"},
+        "experiment_name": {"key": "experimentName", "type": "str"},
+        "identity": {"key": "identity", "type": "IdentityConfiguration"},
+        "is_archived": {"key": "isArchived", "type": "bool"},
+        "job_type": {"key": "jobType", "type": "str"},
+        "notification_setting": {"key": "notificationSetting", "type": "NotificationSetting"},
+        "secrets_configuration": {"key": "secretsConfiguration", "type": "{SecretConfiguration}"},
+        "services": {"key": "services", "type": "{JobService}"},
+        "status": {"key": "status", "type": "str"},
+        "fine_tuning_details": {"key": "fineTuningDetails", "type": "FineTuningVertical"},
+        "outputs": {"key": "outputs", "type": "{JobOutput}"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword description: The asset description text.
         :paramtype description: str
@@ -14909,9 +14060,9 @@ def __init__(
         :paramtype outputs: dict[str, ~azure.mgmt.machinelearningservices.models.JobOutput]
         """
         super(FineTuningJob, self).__init__(**kwargs)
-        self.job_type = 'FineTuning'  # type: str
-        self.fine_tuning_details = kwargs['fine_tuning_details']
-        self.outputs = kwargs['outputs']
+        self.job_type = "FineTuning"  # type: str
+        self.fine_tuning_details = kwargs["fine_tuning_details"]
+        self.outputs = kwargs["outputs"]
 
 
 class MonitoringInputDataBase(msrest.serialization.Model):
@@ -14938,27 +14089,24 @@ class MonitoringInputDataBase(msrest.serialization.Model):
     """
 
     _validation = {
-        'input_data_type': {'required': True},
-        'job_input_type': {'required': True},
-        'uri': {'required': True, 'min_length': 1, 'pattern': r'[a-zA-Z0-9_]'},
+        "input_data_type": {"required": True},
+        "job_input_type": {"required": True},
+        "uri": {"required": True, "min_length": 1, "pattern": r"[a-zA-Z0-9_]"},
     }
 
     _attribute_map = {
-        'columns': {'key': 'columns', 'type': '{str}'},
-        'data_context': {'key': 'dataContext', 'type': 'str'},
-        'input_data_type': {'key': 'inputDataType', 'type': 'str'},
-        'job_input_type': {'key': 'jobInputType', 'type': 'str'},
-        'uri': {'key': 'uri', 'type': 'str'},
+        "columns": {"key": "columns", "type": "{str}"},
+        "data_context": {"key": "dataContext", "type": "str"},
+        "input_data_type": {"key": "inputDataType", "type": "str"},
+        "job_input_type": {"key": "jobInputType", "type": "str"},
+        "uri": {"key": "uri", "type": "str"},
     }
 
     _subtype_map = {
-        'input_data_type': {'Fixed': 'FixedInputData', 'Rolling': 'RollingInputData', 'Static': 'StaticInputData'}
+        "input_data_type": {"Fixed": "FixedInputData", "Rolling": "RollingInputData", "Static": "StaticInputData"}
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword columns: Mapping of column names to special uses.
         :paramtype columns: dict[str, str]
@@ -14972,11 +14120,11 @@ def __init__(
         :paramtype uri: str
         """
         super(MonitoringInputDataBase, self).__init__(**kwargs)
-        self.columns = kwargs.get('columns', None)
-        self.data_context = kwargs.get('data_context', None)
+        self.columns = kwargs.get("columns", None)
+        self.data_context = kwargs.get("data_context", None)
         self.input_data_type = None  # type: Optional[str]
-        self.job_input_type = kwargs['job_input_type']
-        self.uri = kwargs['uri']
+        self.job_input_type = kwargs["job_input_type"]
+        self.uri = kwargs["uri"]
 
 
 class FixedInputData(MonitoringInputDataBase):
@@ -15000,23 +14148,20 @@ class FixedInputData(MonitoringInputDataBase):
     """
 
     _validation = {
-        'input_data_type': {'required': True},
-        'job_input_type': {'required': True},
-        'uri': {'required': True, 'min_length': 1, 'pattern': r'[a-zA-Z0-9_]'},
+        "input_data_type": {"required": True},
+        "job_input_type": {"required": True},
+        "uri": {"required": True, "min_length": 1, "pattern": r"[a-zA-Z0-9_]"},
     }
 
     _attribute_map = {
-        'columns': {'key': 'columns', 'type': '{str}'},
-        'data_context': {'key': 'dataContext', 'type': 'str'},
-        'input_data_type': {'key': 'inputDataType', 'type': 'str'},
-        'job_input_type': {'key': 'jobInputType', 'type': 'str'},
-        'uri': {'key': 'uri', 'type': 'str'},
+        "columns": {"key": "columns", "type": "{str}"},
+        "data_context": {"key": "dataContext", "type": "str"},
+        "input_data_type": {"key": "inputDataType", "type": "str"},
+        "job_input_type": {"key": "jobInputType", "type": "str"},
+        "uri": {"key": "uri", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword columns: Mapping of column names to special uses.
         :paramtype columns: dict[str, str]
@@ -15030,7 +14175,7 @@ def __init__(
         :paramtype uri: str
         """
         super(FixedInputData, self).__init__(**kwargs)
-        self.input_data_type = 'Fixed'  # type: str
+        self.input_data_type = "Fixed"  # type: str
 
 
 class FlavorData(msrest.serialization.Model):
@@ -15041,19 +14186,16 @@ class FlavorData(msrest.serialization.Model):
     """
 
     _attribute_map = {
-        'data': {'key': 'data', 'type': '{str}'},
+        "data": {"key": "data", "type": "{str}"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword data: Model flavor-specific data.
         :paramtype data: dict[str, str]
         """
         super(FlavorData, self).__init__(**kwargs)
-        self.data = kwargs.get('data', None)
+        self.data = kwargs.get("data", None)
 
 
 class Forecasting(AutoMLVertical, TableVertical):
@@ -15122,36 +14264,33 @@ class Forecasting(AutoMLVertical, TableVertical):
     """
 
     _validation = {
-        'task_type': {'required': True},
-        'training_data': {'required': True},
+        "task_type": {"required": True},
+        "training_data": {"required": True},
     }
 
     _attribute_map = {
-        'cv_split_column_names': {'key': 'cvSplitColumnNames', 'type': '[str]'},
-        'featurization_settings': {'key': 'featurizationSettings', 'type': 'TableVerticalFeaturizationSettings'},
-        'fixed_parameters': {'key': 'fixedParameters', 'type': 'TableFixedParameters'},
-        'limit_settings': {'key': 'limitSettings', 'type': 'TableVerticalLimitSettings'},
-        'n_cross_validations': {'key': 'nCrossValidations', 'type': 'NCrossValidations'},
-        'search_space': {'key': 'searchSpace', 'type': '[TableParameterSubspace]'},
-        'sweep_settings': {'key': 'sweepSettings', 'type': 'TableSweepSettings'},
-        'test_data': {'key': 'testData', 'type': 'MLTableJobInput'},
-        'test_data_size': {'key': 'testDataSize', 'type': 'float'},
-        'validation_data': {'key': 'validationData', 'type': 'MLTableJobInput'},
-        'validation_data_size': {'key': 'validationDataSize', 'type': 'float'},
-        'weight_column_name': {'key': 'weightColumnName', 'type': 'str'},
-        'log_verbosity': {'key': 'logVerbosity', 'type': 'str'},
-        'target_column_name': {'key': 'targetColumnName', 'type': 'str'},
-        'task_type': {'key': 'taskType', 'type': 'str'},
-        'training_data': {'key': 'trainingData', 'type': 'MLTableJobInput'},
-        'forecasting_settings': {'key': 'forecastingSettings', 'type': 'ForecastingSettings'},
-        'primary_metric': {'key': 'primaryMetric', 'type': 'str'},
-        'training_settings': {'key': 'trainingSettings', 'type': 'ForecastingTrainingSettings'},
+        "cv_split_column_names": {"key": "cvSplitColumnNames", "type": "[str]"},
+        "featurization_settings": {"key": "featurizationSettings", "type": "TableVerticalFeaturizationSettings"},
+        "fixed_parameters": {"key": "fixedParameters", "type": "TableFixedParameters"},
+        "limit_settings": {"key": "limitSettings", "type": "TableVerticalLimitSettings"},
+        "n_cross_validations": {"key": "nCrossValidations", "type": "NCrossValidations"},
+        "search_space": {"key": "searchSpace", "type": "[TableParameterSubspace]"},
+        "sweep_settings": {"key": "sweepSettings", "type": "TableSweepSettings"},
+        "test_data": {"key": "testData", "type": "MLTableJobInput"},
+        "test_data_size": {"key": "testDataSize", "type": "float"},
+        "validation_data": {"key": "validationData", "type": "MLTableJobInput"},
+        "validation_data_size": {"key": "validationDataSize", "type": "float"},
+        "weight_column_name": {"key": "weightColumnName", "type": "str"},
+        "log_verbosity": {"key": "logVerbosity", "type": "str"},
+        "target_column_name": {"key": "targetColumnName", "type": "str"},
+        "task_type": {"key": "taskType", "type": "str"},
+        "training_data": {"key": "trainingData", "type": "MLTableJobInput"},
+        "forecasting_settings": {"key": "forecastingSettings", "type": "ForecastingSettings"},
+        "primary_metric": {"key": "primaryMetric", "type": "str"},
+        "training_settings": {"key": "trainingSettings", "type": "ForecastingTrainingSettings"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword cv_split_column_names: Columns to use for CVSplit data.
         :paramtype cv_split_column_names: list[str]
@@ -15211,25 +14350,25 @@ def __init__(
          ~azure.mgmt.machinelearningservices.models.ForecastingTrainingSettings
         """
         super(Forecasting, self).__init__(**kwargs)
-        self.cv_split_column_names = kwargs.get('cv_split_column_names', None)
-        self.featurization_settings = kwargs.get('featurization_settings', None)
-        self.fixed_parameters = kwargs.get('fixed_parameters', None)
-        self.limit_settings = kwargs.get('limit_settings', None)
-        self.n_cross_validations = kwargs.get('n_cross_validations', None)
-        self.search_space = kwargs.get('search_space', None)
-        self.sweep_settings = kwargs.get('sweep_settings', None)
-        self.test_data = kwargs.get('test_data', None)
-        self.test_data_size = kwargs.get('test_data_size', None)
-        self.validation_data = kwargs.get('validation_data', None)
-        self.validation_data_size = kwargs.get('validation_data_size', None)
-        self.weight_column_name = kwargs.get('weight_column_name', None)
-        self.task_type = 'Forecasting'  # type: str
-        self.forecasting_settings = kwargs.get('forecasting_settings', None)
-        self.primary_metric = kwargs.get('primary_metric', None)
-        self.training_settings = kwargs.get('training_settings', None)
-        self.log_verbosity = kwargs.get('log_verbosity', None)
-        self.target_column_name = kwargs.get('target_column_name', None)
-        self.training_data = kwargs['training_data']
+        self.cv_split_column_names = kwargs.get("cv_split_column_names", None)
+        self.featurization_settings = kwargs.get("featurization_settings", None)
+        self.fixed_parameters = kwargs.get("fixed_parameters", None)
+        self.limit_settings = kwargs.get("limit_settings", None)
+        self.n_cross_validations = kwargs.get("n_cross_validations", None)
+        self.search_space = kwargs.get("search_space", None)
+        self.sweep_settings = kwargs.get("sweep_settings", None)
+        self.test_data = kwargs.get("test_data", None)
+        self.test_data_size = kwargs.get("test_data_size", None)
+        self.validation_data = kwargs.get("validation_data", None)
+        self.validation_data_size = kwargs.get("validation_data_size", None)
+        self.weight_column_name = kwargs.get("weight_column_name", None)
+        self.task_type = "Forecasting"  # type: str
+        self.forecasting_settings = kwargs.get("forecasting_settings", None)
+        self.primary_metric = kwargs.get("primary_metric", None)
+        self.training_settings = kwargs.get("training_settings", None)
+        self.log_verbosity = kwargs.get("log_verbosity", None)
+        self.target_column_name = kwargs.get("target_column_name", None)
+        self.training_data = kwargs["training_data"]
 
 
 class ForecastingSettings(msrest.serialization.Model):
@@ -15292,26 +14431,23 @@ class ForecastingSettings(msrest.serialization.Model):
     """
 
     _attribute_map = {
-        'country_or_region_for_holidays': {'key': 'countryOrRegionForHolidays', 'type': 'str'},
-        'cv_step_size': {'key': 'cvStepSize', 'type': 'int'},
-        'feature_lags': {'key': 'featureLags', 'type': 'str'},
-        'features_unknown_at_forecast_time': {'key': 'featuresUnknownAtForecastTime', 'type': '[str]'},
-        'forecast_horizon': {'key': 'forecastHorizon', 'type': 'ForecastHorizon'},
-        'frequency': {'key': 'frequency', 'type': 'str'},
-        'seasonality': {'key': 'seasonality', 'type': 'Seasonality'},
-        'short_series_handling_config': {'key': 'shortSeriesHandlingConfig', 'type': 'str'},
-        'target_aggregate_function': {'key': 'targetAggregateFunction', 'type': 'str'},
-        'target_lags': {'key': 'targetLags', 'type': 'TargetLags'},
-        'target_rolling_window_size': {'key': 'targetRollingWindowSize', 'type': 'TargetRollingWindowSize'},
-        'time_column_name': {'key': 'timeColumnName', 'type': 'str'},
-        'time_series_id_column_names': {'key': 'timeSeriesIdColumnNames', 'type': '[str]'},
-        'use_stl': {'key': 'useStl', 'type': 'str'},
+        "country_or_region_for_holidays": {"key": "countryOrRegionForHolidays", "type": "str"},
+        "cv_step_size": {"key": "cvStepSize", "type": "int"},
+        "feature_lags": {"key": "featureLags", "type": "str"},
+        "features_unknown_at_forecast_time": {"key": "featuresUnknownAtForecastTime", "type": "[str]"},
+        "forecast_horizon": {"key": "forecastHorizon", "type": "ForecastHorizon"},
+        "frequency": {"key": "frequency", "type": "str"},
+        "seasonality": {"key": "seasonality", "type": "Seasonality"},
+        "short_series_handling_config": {"key": "shortSeriesHandlingConfig", "type": "str"},
+        "target_aggregate_function": {"key": "targetAggregateFunction", "type": "str"},
+        "target_lags": {"key": "targetLags", "type": "TargetLags"},
+        "target_rolling_window_size": {"key": "targetRollingWindowSize", "type": "TargetRollingWindowSize"},
+        "time_column_name": {"key": "timeColumnName", "type": "str"},
+        "time_series_id_column_names": {"key": "timeSeriesIdColumnNames", "type": "[str]"},
+        "use_stl": {"key": "useStl", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword country_or_region_for_holidays: Country or region for holidays for forecasting tasks.
          These should be ISO 3166 two-letter country/region codes, for example 'US' or 'GB'.
@@ -15371,20 +14507,20 @@ def __init__(
         :paramtype use_stl: str or ~azure.mgmt.machinelearningservices.models.UseStl
         """
         super(ForecastingSettings, self).__init__(**kwargs)
-        self.country_or_region_for_holidays = kwargs.get('country_or_region_for_holidays', None)
-        self.cv_step_size = kwargs.get('cv_step_size', None)
-        self.feature_lags = kwargs.get('feature_lags', None)
-        self.features_unknown_at_forecast_time = kwargs.get('features_unknown_at_forecast_time', None)
-        self.forecast_horizon = kwargs.get('forecast_horizon', None)
-        self.frequency = kwargs.get('frequency', None)
-        self.seasonality = kwargs.get('seasonality', None)
-        self.short_series_handling_config = kwargs.get('short_series_handling_config', None)
-        self.target_aggregate_function = kwargs.get('target_aggregate_function', None)
-        self.target_lags = kwargs.get('target_lags', None)
-        self.target_rolling_window_size = kwargs.get('target_rolling_window_size', None)
-        self.time_column_name = kwargs.get('time_column_name', None)
-        self.time_series_id_column_names = kwargs.get('time_series_id_column_names', None)
-        self.use_stl = kwargs.get('use_stl', None)
+        self.country_or_region_for_holidays = kwargs.get("country_or_region_for_holidays", None)
+        self.cv_step_size = kwargs.get("cv_step_size", None)
+        self.feature_lags = kwargs.get("feature_lags", None)
+        self.features_unknown_at_forecast_time = kwargs.get("features_unknown_at_forecast_time", None)
+        self.forecast_horizon = kwargs.get("forecast_horizon", None)
+        self.frequency = kwargs.get("frequency", None)
+        self.seasonality = kwargs.get("seasonality", None)
+        self.short_series_handling_config = kwargs.get("short_series_handling_config", None)
+        self.target_aggregate_function = kwargs.get("target_aggregate_function", None)
+        self.target_lags = kwargs.get("target_lags", None)
+        self.target_rolling_window_size = kwargs.get("target_rolling_window_size", None)
+        self.time_column_name = kwargs.get("time_column_name", None)
+        self.time_series_id_column_names = kwargs.get("time_series_id_column_names", None)
+        self.use_stl = kwargs.get("use_stl", None)
 
 
 class ForecastingTrainingSettings(TrainingSettings):
@@ -15424,22 +14560,19 @@ class ForecastingTrainingSettings(TrainingSettings):
     """
 
     _attribute_map = {
-        'enable_dnn_training': {'key': 'enableDnnTraining', 'type': 'bool'},
-        'enable_model_explainability': {'key': 'enableModelExplainability', 'type': 'bool'},
-        'enable_onnx_compatible_models': {'key': 'enableOnnxCompatibleModels', 'type': 'bool'},
-        'enable_stack_ensemble': {'key': 'enableStackEnsemble', 'type': 'bool'},
-        'enable_vote_ensemble': {'key': 'enableVoteEnsemble', 'type': 'bool'},
-        'ensemble_model_download_timeout': {'key': 'ensembleModelDownloadTimeout', 'type': 'duration'},
-        'stack_ensemble_settings': {'key': 'stackEnsembleSettings', 'type': 'StackEnsembleSettings'},
-        'training_mode': {'key': 'trainingMode', 'type': 'str'},
-        'allowed_training_algorithms': {'key': 'allowedTrainingAlgorithms', 'type': '[str]'},
-        'blocked_training_algorithms': {'key': 'blockedTrainingAlgorithms', 'type': '[str]'},
+        "enable_dnn_training": {"key": "enableDnnTraining", "type": "bool"},
+        "enable_model_explainability": {"key": "enableModelExplainability", "type": "bool"},
+        "enable_onnx_compatible_models": {"key": "enableOnnxCompatibleModels", "type": "bool"},
+        "enable_stack_ensemble": {"key": "enableStackEnsemble", "type": "bool"},
+        "enable_vote_ensemble": {"key": "enableVoteEnsemble", "type": "bool"},
+        "ensemble_model_download_timeout": {"key": "ensembleModelDownloadTimeout", "type": "duration"},
+        "stack_ensemble_settings": {"key": "stackEnsembleSettings", "type": "StackEnsembleSettings"},
+        "training_mode": {"key": "trainingMode", "type": "str"},
+        "allowed_training_algorithms": {"key": "allowedTrainingAlgorithms", "type": "[str]"},
+        "blocked_training_algorithms": {"key": "blockedTrainingAlgorithms", "type": "[str]"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword enable_dnn_training: Enable recommendation of DNN models.
         :paramtype enable_dnn_training: bool
@@ -15474,8 +14607,8 @@ def __init__(
          ~azure.mgmt.machinelearningservices.models.ForecastingModels]
         """
         super(ForecastingTrainingSettings, self).__init__(**kwargs)
-        self.allowed_training_algorithms = kwargs.get('allowed_training_algorithms', None)
-        self.blocked_training_algorithms = kwargs.get('blocked_training_algorithms', None)
+        self.allowed_training_algorithms = kwargs.get("allowed_training_algorithms", None)
+        self.blocked_training_algorithms = kwargs.get("blocked_training_algorithms", None)
 
 
 class FQDNEndpoint(msrest.serialization.Model):
@@ -15488,14 +14621,11 @@ class FQDNEndpoint(msrest.serialization.Model):
     """
 
     _attribute_map = {
-        'domain_name': {'key': 'domainName', 'type': 'str'},
-        'endpoint_details': {'key': 'endpointDetails', 'type': '[FQDNEndpointDetail]'},
+        "domain_name": {"key": "domainName", "type": "str"},
+        "endpoint_details": {"key": "endpointDetails", "type": "[FQDNEndpointDetail]"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword domain_name:
         :paramtype domain_name: str
@@ -15504,8 +14634,8 @@ def __init__(
          list[~azure.mgmt.machinelearningservices.models.FQDNEndpointDetail]
         """
         super(FQDNEndpoint, self).__init__(**kwargs)
-        self.domain_name = kwargs.get('domain_name', None)
-        self.endpoint_details = kwargs.get('endpoint_details', None)
+        self.domain_name = kwargs.get("domain_name", None)
+        self.endpoint_details = kwargs.get("endpoint_details", None)
 
 
 class FQDNEndpointDetail(msrest.serialization.Model):
@@ -15516,19 +14646,16 @@ class FQDNEndpointDetail(msrest.serialization.Model):
     """
 
     _attribute_map = {
-        'port': {'key': 'port', 'type': 'int'},
+        "port": {"key": "port", "type": "int"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword port:
         :paramtype port: int
         """
         super(FQDNEndpointDetail, self).__init__(**kwargs)
-        self.port = kwargs.get('port', None)
+        self.port = kwargs.get("port", None)
 
 
 class FQDNEndpoints(msrest.serialization.Model):
@@ -15541,14 +14668,11 @@ class FQDNEndpoints(msrest.serialization.Model):
     """
 
     _attribute_map = {
-        'category': {'key': 'category', 'type': 'str'},
-        'endpoints': {'key': 'endpoints', 'type': '[FQDNEndpoint]'},
+        "category": {"key": "category", "type": "str"},
+        "endpoints": {"key": "endpoints", "type": "[FQDNEndpoint]"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword category:
         :paramtype category: str
@@ -15556,8 +14680,8 @@ def __init__(
         :paramtype endpoints: list[~azure.mgmt.machinelearningservices.models.FQDNEndpoint]
         """
         super(FQDNEndpoints, self).__init__(**kwargs)
-        self.category = kwargs.get('category', None)
-        self.endpoints = kwargs.get('endpoints', None)
+        self.category = kwargs.get("category", None)
+        self.endpoints = kwargs.get("endpoints", None)
 
 
 class FQDNEndpointsPropertyBag(msrest.serialization.Model):
@@ -15568,19 +14692,16 @@ class FQDNEndpointsPropertyBag(msrest.serialization.Model):
     """
 
     _attribute_map = {
-        'properties': {'key': 'properties', 'type': 'FQDNEndpoints'},
+        "properties": {"key": "properties", "type": "FQDNEndpoints"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword properties:
         :paramtype properties: ~azure.mgmt.machinelearningservices.models.FQDNEndpoints
         """
         super(FQDNEndpointsPropertyBag, self).__init__(**kwargs)
-        self.properties = kwargs.get('properties', None)
+        self.properties = kwargs.get("properties", None)
 
 
 class OutboundRule(msrest.serialization.Model):
@@ -15604,24 +14725,24 @@ class OutboundRule(msrest.serialization.Model):
     """
 
     _validation = {
-        'type': {'required': True},
+        "type": {"required": True},
     }
 
     _attribute_map = {
-        'category': {'key': 'category', 'type': 'str'},
-        'status': {'key': 'status', 'type': 'str'},
-        'type': {'key': 'type', 'type': 'str'},
+        "category": {"key": "category", "type": "str"},
+        "status": {"key": "status", "type": "str"},
+        "type": {"key": "type", "type": "str"},
     }
 
     _subtype_map = {
-        'type': {'FQDN': 'FqdnOutboundRule', 'PrivateEndpoint': 'PrivateEndpointOutboundRule',
-                 'ServiceTag': 'ServiceTagOutboundRule'}
+        "type": {
+            "FQDN": "FqdnOutboundRule",
+            "PrivateEndpoint": "PrivateEndpointOutboundRule",
+            "ServiceTag": "ServiceTagOutboundRule",
+        }
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword category: Category of a managed network Outbound Rule of a machine learning workspace.
          Possible values include: "Required", "Recommended", "UserDefined".
@@ -15631,8 +14752,8 @@ def __init__(
         :paramtype status: str or ~azure.mgmt.machinelearningservices.models.RuleStatus
         """
         super(OutboundRule, self).__init__(**kwargs)
-        self.category = kwargs.get('category', None)
-        self.status = kwargs.get('status', None)
+        self.category = kwargs.get("category", None)
+        self.status = kwargs.get("status", None)
         self.type = None  # type: Optional[str]
 
 
@@ -15656,20 +14777,17 @@ class FqdnOutboundRule(OutboundRule):
     """
 
     _validation = {
-        'type': {'required': True},
+        "type": {"required": True},
     }
 
     _attribute_map = {
-        'category': {'key': 'category', 'type': 'str'},
-        'status': {'key': 'status', 'type': 'str'},
-        'type': {'key': 'type', 'type': 'str'},
-        'destination': {'key': 'destination', 'type': 'str'},
+        "category": {"key": "category", "type": "str"},
+        "status": {"key": "status", "type": "str"},
+        "type": {"key": "type", "type": "str"},
+        "destination": {"key": "destination", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword category: Category of a managed network Outbound Rule of a machine learning workspace.
          Possible values include: "Required", "Recommended", "UserDefined".
@@ -15681,8 +14799,8 @@ def __init__(
         :paramtype destination: str
         """
         super(FqdnOutboundRule, self).__init__(**kwargs)
-        self.type = 'FQDN'  # type: str
-        self.destination = kwargs.get('destination', None)
+        self.type = "FQDN"  # type: str
+        self.destination = kwargs.get("destination", None)
 
 
 class GenerationSafetyQualityMetricThreshold(msrest.serialization.Model):
@@ -15705,18 +14823,15 @@ class GenerationSafetyQualityMetricThreshold(msrest.serialization.Model):
     """
 
     _validation = {
-        'metric': {'required': True},
+        "metric": {"required": True},
     }
 
     _attribute_map = {
-        'metric': {'key': 'metric', 'type': 'str'},
-        'threshold': {'key': 'threshold', 'type': 'MonitoringThreshold'},
+        "metric": {"key": "metric", "type": "str"},
+        "threshold": {"key": "threshold", "type": "MonitoringThreshold"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword metric: Required. [Required] Gets or sets the feature attribution metric to calculate.
          Possible values include: "AcceptableGroundednessScorePerInstance",
@@ -15732,8 +14847,8 @@ def __init__(
         :paramtype threshold: ~azure.mgmt.machinelearningservices.models.MonitoringThreshold
         """
         super(GenerationSafetyQualityMetricThreshold, self).__init__(**kwargs)
-        self.metric = kwargs['metric']
-        self.threshold = kwargs.get('threshold', None)
+        self.metric = kwargs["metric"]
+        self.threshold = kwargs.get("threshold", None)
 
 
 class GenerationSafetyQualityMonitoringSignal(MonitoringSignalBase):
@@ -15767,25 +14882,22 @@ class GenerationSafetyQualityMonitoringSignal(MonitoringSignalBase):
     """
 
     _validation = {
-        'signal_type': {'required': True},
-        'metric_thresholds': {'required': True},
-        'sampling_rate': {'required': True},
+        "signal_type": {"required": True},
+        "metric_thresholds": {"required": True},
+        "sampling_rate": {"required": True},
     }
 
     _attribute_map = {
-        'notification_types': {'key': 'notificationTypes', 'type': '[str]'},
-        'properties': {'key': 'properties', 'type': '{str}'},
-        'signal_type': {'key': 'signalType', 'type': 'str'},
-        'metric_thresholds': {'key': 'metricThresholds', 'type': '[GenerationSafetyQualityMetricThreshold]'},
-        'production_data': {'key': 'productionData', 'type': '[MonitoringInputDataBase]'},
-        'sampling_rate': {'key': 'samplingRate', 'type': 'float'},
-        'workspace_connection_id': {'key': 'workspaceConnectionId', 'type': 'str'},
+        "notification_types": {"key": "notificationTypes", "type": "[str]"},
+        "properties": {"key": "properties", "type": "{str}"},
+        "signal_type": {"key": "signalType", "type": "str"},
+        "metric_thresholds": {"key": "metricThresholds", "type": "[GenerationSafetyQualityMetricThreshold]"},
+        "production_data": {"key": "productionData", "type": "[MonitoringInputDataBase]"},
+        "sampling_rate": {"key": "samplingRate", "type": "float"},
+        "workspace_connection_id": {"key": "workspaceConnectionId", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword notification_types: The current notification mode for this signal.
         :paramtype notification_types: list[str or
@@ -15807,11 +14919,11 @@ def __init__(
         :paramtype workspace_connection_id: str
         """
         super(GenerationSafetyQualityMonitoringSignal, self).__init__(**kwargs)
-        self.signal_type = 'GenerationSafetyQuality'  # type: str
-        self.metric_thresholds = kwargs['metric_thresholds']
-        self.production_data = kwargs.get('production_data', None)
-        self.sampling_rate = kwargs['sampling_rate']
-        self.workspace_connection_id = kwargs.get('workspace_connection_id', None)
+        self.signal_type = "GenerationSafetyQuality"  # type: str
+        self.metric_thresholds = kwargs["metric_thresholds"]
+        self.production_data = kwargs.get("production_data", None)
+        self.sampling_rate = kwargs["sampling_rate"]
+        self.workspace_connection_id = kwargs.get("workspace_connection_id", None)
 
 
 class GenerationTokenUsageMetricThreshold(msrest.serialization.Model):
@@ -15828,18 +14940,15 @@ class GenerationTokenUsageMetricThreshold(msrest.serialization.Model):
     """
 
     _validation = {
-        'metric': {'required': True},
+        "metric": {"required": True},
     }
 
     _attribute_map = {
-        'metric': {'key': 'metric', 'type': 'str'},
-        'threshold': {'key': 'threshold', 'type': 'MonitoringThreshold'},
+        "metric": {"key": "metric", "type": "str"},
+        "threshold": {"key": "threshold", "type": "MonitoringThreshold"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword metric: Required. [Required] Gets or sets the feature attribution metric to calculate.
          Possible values include: "TotalTokenCount", "TotalTokenCountPerGroup".
@@ -15849,8 +14958,8 @@ def __init__(
         :paramtype threshold: ~azure.mgmt.machinelearningservices.models.MonitoringThreshold
         """
         super(GenerationTokenUsageMetricThreshold, self).__init__(**kwargs)
-        self.metric = kwargs['metric']
-        self.threshold = kwargs.get('threshold', None)
+        self.metric = kwargs["metric"]
+        self.threshold = kwargs.get("threshold", None)
 
 
 class GenerationTokenUsageSignal(MonitoringSignalBase):
@@ -15881,24 +14990,21 @@ class GenerationTokenUsageSignal(MonitoringSignalBase):
     """
 
     _validation = {
-        'signal_type': {'required': True},
-        'metric_thresholds': {'required': True},
-        'sampling_rate': {'required': True},
+        "signal_type": {"required": True},
+        "metric_thresholds": {"required": True},
+        "sampling_rate": {"required": True},
     }
 
     _attribute_map = {
-        'notification_types': {'key': 'notificationTypes', 'type': '[str]'},
-        'properties': {'key': 'properties', 'type': '{str}'},
-        'signal_type': {'key': 'signalType', 'type': 'str'},
-        'metric_thresholds': {'key': 'metricThresholds', 'type': '[GenerationTokenUsageMetricThreshold]'},
-        'production_data': {'key': 'productionData', 'type': '[MonitoringInputDataBase]'},
-        'sampling_rate': {'key': 'samplingRate', 'type': 'float'},
+        "notification_types": {"key": "notificationTypes", "type": "[str]"},
+        "properties": {"key": "properties", "type": "{str}"},
+        "signal_type": {"key": "signalType", "type": "str"},
+        "metric_thresholds": {"key": "metricThresholds", "type": "[GenerationTokenUsageMetricThreshold]"},
+        "production_data": {"key": "productionData", "type": "[MonitoringInputDataBase]"},
+        "sampling_rate": {"key": "samplingRate", "type": "float"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword notification_types: The current notification mode for this signal.
         :paramtype notification_types: list[str or
@@ -15917,10 +15023,10 @@ def __init__(
         :paramtype sampling_rate: float
         """
         super(GenerationTokenUsageSignal, self).__init__(**kwargs)
-        self.signal_type = 'GenerationTokenStatistics'  # type: str
-        self.metric_thresholds = kwargs['metric_thresholds']
-        self.production_data = kwargs.get('production_data', None)
-        self.sampling_rate = kwargs['sampling_rate']
+        self.signal_type = "GenerationTokenStatistics"  # type: str
+        self.metric_thresholds = kwargs["metric_thresholds"]
+        self.production_data = kwargs.get("production_data", None)
+        self.sampling_rate = kwargs["sampling_rate"]
 
 
 class GetBlobReferenceForConsumptionDto(msrest.serialization.Model):
@@ -15935,15 +15041,12 @@ class GetBlobReferenceForConsumptionDto(msrest.serialization.Model):
     """
 
     _attribute_map = {
-        'blob_uri': {'key': 'blobUri', 'type': 'str'},
-        'credential': {'key': 'credential', 'type': 'DataReferenceCredential'},
-        'storage_account_arm_id': {'key': 'storageAccountArmId', 'type': 'str'},
+        "blob_uri": {"key": "blobUri", "type": "str"},
+        "credential": {"key": "credential", "type": "DataReferenceCredential"},
+        "storage_account_arm_id": {"key": "storageAccountArmId", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword blob_uri: Blob uri, example: https://blob.windows.core.net/Container/Path.
         :paramtype blob_uri: str
@@ -15953,9 +15056,9 @@ def __init__(
         :paramtype storage_account_arm_id: str
         """
         super(GetBlobReferenceForConsumptionDto, self).__init__(**kwargs)
-        self.blob_uri = kwargs.get('blob_uri', None)
-        self.credential = kwargs.get('credential', None)
-        self.storage_account_arm_id = kwargs.get('storage_account_arm_id', None)
+        self.blob_uri = kwargs.get("blob_uri", None)
+        self.credential = kwargs.get("credential", None)
+        self.storage_account_arm_id = kwargs.get("storage_account_arm_id", None)
 
 
 class GetBlobReferenceSASRequestDto(msrest.serialization.Model):
@@ -15968,14 +15071,11 @@ class GetBlobReferenceSASRequestDto(msrest.serialization.Model):
     """
 
     _attribute_map = {
-        'asset_id': {'key': 'assetId', 'type': 'str'},
-        'blob_uri': {'key': 'blobUri', 'type': 'str'},
+        "asset_id": {"key": "assetId", "type": "str"},
+        "blob_uri": {"key": "blobUri", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword asset_id: Id of the asset to be accessed.
         :paramtype asset_id: str
@@ -15983,8 +15083,8 @@ def __init__(
         :paramtype blob_uri: str
         """
         super(GetBlobReferenceSASRequestDto, self).__init__(**kwargs)
-        self.asset_id = kwargs.get('asset_id', None)
-        self.blob_uri = kwargs.get('blob_uri', None)
+        self.asset_id = kwargs.get("asset_id", None)
+        self.blob_uri = kwargs.get("blob_uri", None)
 
 
 class GetBlobReferenceSASResponseDto(msrest.serialization.Model):
@@ -15996,21 +15096,20 @@ class GetBlobReferenceSASResponseDto(msrest.serialization.Model):
     """
 
     _attribute_map = {
-        'blob_reference_for_consumption': {'key': 'blobReferenceForConsumption',
-                                           'type': 'GetBlobReferenceForConsumptionDto'},
+        "blob_reference_for_consumption": {
+            "key": "blobReferenceForConsumption",
+            "type": "GetBlobReferenceForConsumptionDto",
+        },
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword blob_reference_for_consumption: Blob reference for consumption details.
         :paramtype blob_reference_for_consumption:
          ~azure.mgmt.machinelearningservices.models.GetBlobReferenceForConsumptionDto
         """
         super(GetBlobReferenceSASResponseDto, self).__init__(**kwargs)
-        self.blob_reference_for_consumption = kwargs.get('blob_reference_for_consumption', None)
+        self.blob_reference_for_consumption = kwargs.get("blob_reference_for_consumption", None)
 
 
 class GridSamplingAlgorithm(SamplingAlgorithm):
@@ -16026,21 +15125,17 @@ class GridSamplingAlgorithm(SamplingAlgorithm):
     """
 
     _validation = {
-        'sampling_algorithm_type': {'required': True},
+        "sampling_algorithm_type": {"required": True},
     }
 
     _attribute_map = {
-        'sampling_algorithm_type': {'key': 'samplingAlgorithmType', 'type': 'str'},
+        "sampling_algorithm_type": {"key": "samplingAlgorithmType", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
-        """
-        """
+    def __init__(self, **kwargs):
+        """ """
         super(GridSamplingAlgorithm, self).__init__(**kwargs)
-        self.sampling_algorithm_type = 'Grid'  # type: str
+        self.sampling_algorithm_type = "Grid"  # type: str
 
 
 class GroupStatus(msrest.serialization.Model):
@@ -16057,16 +15152,13 @@ class GroupStatus(msrest.serialization.Model):
     """
 
     _attribute_map = {
-        'actual_capacity_info': {'key': 'actualCapacityInfo', 'type': 'ActualCapacityInfo'},
-        'bonus_extra_capacity': {'key': 'bonusExtraCapacity', 'type': 'int'},
-        'endpoint_count': {'key': 'endpointCount', 'type': 'int'},
-        'requested_capacity': {'key': 'requestedCapacity', 'type': 'int'},
+        "actual_capacity_info": {"key": "actualCapacityInfo", "type": "ActualCapacityInfo"},
+        "bonus_extra_capacity": {"key": "bonusExtraCapacity", "type": "int"},
+        "endpoint_count": {"key": "endpointCount", "type": "int"},
+        "requested_capacity": {"key": "requestedCapacity", "type": "int"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword actual_capacity_info: Gets or sets the actual capacity info for the group.
         :paramtype actual_capacity_info: ~azure.mgmt.machinelearningservices.models.ActualCapacityInfo
@@ -16078,10 +15170,10 @@ def __init__(
         :paramtype requested_capacity: int
         """
         super(GroupStatus, self).__init__(**kwargs)
-        self.actual_capacity_info = kwargs.get('actual_capacity_info', None)
-        self.bonus_extra_capacity = kwargs.get('bonus_extra_capacity', 0)
-        self.endpoint_count = kwargs.get('endpoint_count', 0)
-        self.requested_capacity = kwargs.get('requested_capacity', 0)
+        self.actual_capacity_info = kwargs.get("actual_capacity_info", None)
+        self.bonus_extra_capacity = kwargs.get("bonus_extra_capacity", 0)
+        self.endpoint_count = kwargs.get("endpoint_count", 0)
+        self.requested_capacity = kwargs.get("requested_capacity", 0)
 
 
 class HdfsDatastore(DatastoreProperties):
@@ -16118,29 +15210,26 @@ class HdfsDatastore(DatastoreProperties):
     """
 
     _validation = {
-        'credentials': {'required': True},
-        'datastore_type': {'required': True},
-        'is_default': {'readonly': True},
-        'name_node_address': {'required': True, 'min_length': 1, 'pattern': r'[a-zA-Z0-9_]'},
+        "credentials": {"required": True},
+        "datastore_type": {"required": True},
+        "is_default": {"readonly": True},
+        "name_node_address": {"required": True, "min_length": 1, "pattern": r"[a-zA-Z0-9_]"},
     }
 
     _attribute_map = {
-        'description': {'key': 'description', 'type': 'str'},
-        'properties': {'key': 'properties', 'type': '{str}'},
-        'tags': {'key': 'tags', 'type': '{str}'},
-        'credentials': {'key': 'credentials', 'type': 'DatastoreCredentials'},
-        'datastore_type': {'key': 'datastoreType', 'type': 'str'},
-        'intellectual_property': {'key': 'intellectualProperty', 'type': 'IntellectualProperty'},
-        'is_default': {'key': 'isDefault', 'type': 'bool'},
-        'hdfs_server_certificate': {'key': 'hdfsServerCertificate', 'type': 'str'},
-        'name_node_address': {'key': 'nameNodeAddress', 'type': 'str'},
-        'protocol': {'key': 'protocol', 'type': 'str'},
+        "description": {"key": "description", "type": "str"},
+        "properties": {"key": "properties", "type": "{str}"},
+        "tags": {"key": "tags", "type": "{str}"},
+        "credentials": {"key": "credentials", "type": "DatastoreCredentials"},
+        "datastore_type": {"key": "datastoreType", "type": "str"},
+        "intellectual_property": {"key": "intellectualProperty", "type": "IntellectualProperty"},
+        "is_default": {"key": "isDefault", "type": "bool"},
+        "hdfs_server_certificate": {"key": "hdfsServerCertificate", "type": "str"},
+        "name_node_address": {"key": "nameNodeAddress", "type": "str"},
+        "protocol": {"key": "protocol", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword description: The asset description text.
         :paramtype description: str
@@ -16162,10 +15251,10 @@ def __init__(
         :paramtype protocol: str
         """
         super(HdfsDatastore, self).__init__(**kwargs)
-        self.datastore_type = 'Hdfs'  # type: str
-        self.hdfs_server_certificate = kwargs.get('hdfs_server_certificate', None)
-        self.name_node_address = kwargs['name_node_address']
-        self.protocol = kwargs.get('protocol', "http")
+        self.datastore_type = "Hdfs"  # type: str
+        self.hdfs_server_certificate = kwargs.get("hdfs_server_certificate", None)
+        self.name_node_address = kwargs["name_node_address"]
+        self.protocol = kwargs.get("protocol", "http")
 
 
 class HDInsightSchema(msrest.serialization.Model):
@@ -16176,19 +15265,16 @@ class HDInsightSchema(msrest.serialization.Model):
     """
 
     _attribute_map = {
-        'properties': {'key': 'properties', 'type': 'HDInsightProperties'},
+        "properties": {"key": "properties", "type": "HDInsightProperties"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword properties: HDInsight compute properties.
         :paramtype properties: ~azure.mgmt.machinelearningservices.models.HDInsightProperties
         """
         super(HDInsightSchema, self).__init__(**kwargs)
-        self.properties = kwargs.get('properties', None)
+        self.properties = kwargs.get("properties", None)
 
 
 class HDInsight(Compute, HDInsightSchema):
@@ -16230,32 +15316,29 @@ class HDInsight(Compute, HDInsightSchema):
     """
 
     _validation = {
-        'compute_type': {'required': True},
-        'provisioning_state': {'readonly': True},
-        'created_on': {'readonly': True},
-        'modified_on': {'readonly': True},
-        'provisioning_errors': {'readonly': True},
-        'is_attached_compute': {'readonly': True},
+        "compute_type": {"required": True},
+        "provisioning_state": {"readonly": True},
+        "created_on": {"readonly": True},
+        "modified_on": {"readonly": True},
+        "provisioning_errors": {"readonly": True},
+        "is_attached_compute": {"readonly": True},
     }
 
     _attribute_map = {
-        'properties': {'key': 'properties', 'type': 'HDInsightProperties'},
-        'compute_type': {'key': 'computeType', 'type': 'str'},
-        'compute_location': {'key': 'computeLocation', 'type': 'str'},
-        'provisioning_state': {'key': 'provisioningState', 'type': 'str'},
-        'description': {'key': 'description', 'type': 'str'},
-        'created_on': {'key': 'createdOn', 'type': 'iso-8601'},
-        'modified_on': {'key': 'modifiedOn', 'type': 'iso-8601'},
-        'resource_id': {'key': 'resourceId', 'type': 'str'},
-        'provisioning_errors': {'key': 'provisioningErrors', 'type': '[ErrorResponse]'},
-        'is_attached_compute': {'key': 'isAttachedCompute', 'type': 'bool'},
-        'disable_local_auth': {'key': 'disableLocalAuth', 'type': 'bool'},
+        "properties": {"key": "properties", "type": "HDInsightProperties"},
+        "compute_type": {"key": "computeType", "type": "str"},
+        "compute_location": {"key": "computeLocation", "type": "str"},
+        "provisioning_state": {"key": "provisioningState", "type": "str"},
+        "description": {"key": "description", "type": "str"},
+        "created_on": {"key": "createdOn", "type": "iso-8601"},
+        "modified_on": {"key": "modifiedOn", "type": "iso-8601"},
+        "resource_id": {"key": "resourceId", "type": "str"},
+        "provisioning_errors": {"key": "provisioningErrors", "type": "[ErrorResponse]"},
+        "is_attached_compute": {"key": "isAttachedCompute", "type": "bool"},
+        "disable_local_auth": {"key": "disableLocalAuth", "type": "bool"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword properties: HDInsight compute properties.
         :paramtype properties: ~azure.mgmt.machinelearningservices.models.HDInsightProperties
@@ -16270,17 +15353,17 @@ def __init__(
         :paramtype disable_local_auth: bool
         """
         super(HDInsight, self).__init__(**kwargs)
-        self.properties = kwargs.get('properties', None)
-        self.compute_type = 'HDInsight'  # type: str
-        self.compute_location = kwargs.get('compute_location', None)
+        self.properties = kwargs.get("properties", None)
+        self.compute_type = "HDInsight"  # type: str
+        self.compute_location = kwargs.get("compute_location", None)
         self.provisioning_state = None
-        self.description = kwargs.get('description', None)
+        self.description = kwargs.get("description", None)
         self.created_on = None
         self.modified_on = None
-        self.resource_id = kwargs.get('resource_id', None)
+        self.resource_id = kwargs.get("resource_id", None)
         self.provisioning_errors = None
         self.is_attached_compute = None
-        self.disable_local_auth = kwargs.get('disable_local_auth', None)
+        self.disable_local_auth = kwargs.get("disable_local_auth", None)
 
 
 class HDInsightProperties(msrest.serialization.Model):
@@ -16296,15 +15379,12 @@ class HDInsightProperties(msrest.serialization.Model):
     """
 
     _attribute_map = {
-        'ssh_port': {'key': 'sshPort', 'type': 'int'},
-        'address': {'key': 'address', 'type': 'str'},
-        'administrator_account': {'key': 'administratorAccount', 'type': 'VirtualMachineSshCredentials'},
+        "ssh_port": {"key": "sshPort", "type": "int"},
+        "address": {"key": "address", "type": "str"},
+        "administrator_account": {"key": "administratorAccount", "type": "VirtualMachineSshCredentials"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword ssh_port: Port open for ssh connections on the master node of the cluster.
         :paramtype ssh_port: int
@@ -16315,9 +15395,9 @@ def __init__(
          ~azure.mgmt.machinelearningservices.models.VirtualMachineSshCredentials
         """
         super(HDInsightProperties, self).__init__(**kwargs)
-        self.ssh_port = kwargs.get('ssh_port', None)
-        self.address = kwargs.get('address', None)
-        self.administrator_account = kwargs.get('administrator_account', None)
+        self.ssh_port = kwargs.get("ssh_port", None)
+        self.address = kwargs.get("address", None)
+        self.administrator_account = kwargs.get("administrator_account", None)
 
 
 class IdAssetReference(AssetReferenceBase):
@@ -16333,26 +15413,23 @@ class IdAssetReference(AssetReferenceBase):
     """
 
     _validation = {
-        'reference_type': {'required': True},
-        'asset_id': {'required': True, 'min_length': 1, 'pattern': r'[a-zA-Z0-9_]'},
+        "reference_type": {"required": True},
+        "asset_id": {"required": True, "min_length": 1, "pattern": r"[a-zA-Z0-9_]"},
     }
 
     _attribute_map = {
-        'reference_type': {'key': 'referenceType', 'type': 'str'},
-        'asset_id': {'key': 'assetId', 'type': 'str'},
+        "reference_type": {"key": "referenceType", "type": "str"},
+        "asset_id": {"key": "assetId", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword asset_id: Required. [Required] ARM resource ID of the asset.
         :paramtype asset_id: str
         """
         super(IdAssetReference, self).__init__(**kwargs)
-        self.reference_type = 'Id'  # type: str
-        self.asset_id = kwargs['asset_id']
+        self.reference_type = "Id"  # type: str
+        self.asset_id = kwargs["asset_id"]
 
 
 class IdentityForCmk(msrest.serialization.Model):
@@ -16364,20 +15441,17 @@ class IdentityForCmk(msrest.serialization.Model):
     """
 
     _attribute_map = {
-        'user_assigned_identity': {'key': 'userAssignedIdentity', 'type': 'str'},
+        "user_assigned_identity": {"key": "userAssignedIdentity", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword user_assigned_identity: UserAssignedIdentity to be used to fetch the encryption key
          from keyVault.
         :paramtype user_assigned_identity: str
         """
         super(IdentityForCmk, self).__init__(**kwargs)
-        self.user_assigned_identity = kwargs.get('user_assigned_identity', None)
+        self.user_assigned_identity = kwargs.get("user_assigned_identity", None)
 
 
 class IdleShutdownSetting(msrest.serialization.Model):
@@ -16389,20 +15463,17 @@ class IdleShutdownSetting(msrest.serialization.Model):
     """
 
     _attribute_map = {
-        'idle_time_before_shutdown': {'key': 'idleTimeBeforeShutdown', 'type': 'str'},
+        "idle_time_before_shutdown": {"key": "idleTimeBeforeShutdown", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword idle_time_before_shutdown: Time is defined in ISO8601 format. Minimum is 15 min,
          maximum is 3 days.
         :paramtype idle_time_before_shutdown: str
         """
         super(IdleShutdownSetting, self).__init__(**kwargs)
-        self.idle_time_before_shutdown = kwargs.get('idle_time_before_shutdown', None)
+        self.idle_time_before_shutdown = kwargs.get("idle_time_before_shutdown", None)
 
 
 class Image(msrest.serialization.Model):
@@ -16422,16 +15493,13 @@ class Image(msrest.serialization.Model):
     """
 
     _attribute_map = {
-        'additional_properties': {'key': '', 'type': '{object}'},
-        'type': {'key': 'type', 'type': 'str'},
-        'reference': {'key': 'reference', 'type': 'str'},
-        'version': {'key': 'version', 'type': 'str'},
+        "additional_properties": {"key": "", "type": "{object}"},
+        "type": {"key": "type", "type": "str"},
+        "reference": {"key": "reference", "type": "str"},
+        "version": {"key": "version", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword additional_properties: Unmatched properties from the message are deserialized to this
          collection.
@@ -16446,46 +15514,43 @@ def __init__(
         :paramtype version: str
         """
         super(Image, self).__init__(**kwargs)
-        self.additional_properties = kwargs.get('additional_properties', None)
-        self.type = kwargs.get('type', "docker")
-        self.reference = kwargs.get('reference', None)
-        self.version = kwargs.get('version', None)
+        self.additional_properties = kwargs.get("additional_properties", None)
+        self.type = kwargs.get("type", "docker")
+        self.reference = kwargs.get("reference", None)
+        self.version = kwargs.get("version", None)
 
 
 class ImageVertical(msrest.serialization.Model):
     """Abstract class for AutoML tasks that train image (computer vision) models -
-such as Image Classification / Image Classification Multilabel / Image Object Detection / Image Instance Segmentation.
+    such as Image Classification / Image Classification Multilabel / Image Object Detection / Image Instance Segmentation.
 
-    All required parameters must be populated in order to send to Azure.
+        All required parameters must be populated in order to send to Azure.
 
-    :ivar limit_settings: Required. [Required] Limit settings for the AutoML job.
-    :vartype limit_settings: ~azure.mgmt.machinelearningservices.models.ImageLimitSettings
-    :ivar sweep_settings: Model sweeping and hyperparameter sweeping related settings.
-    :vartype sweep_settings: ~azure.mgmt.machinelearningservices.models.ImageSweepSettings
-    :ivar validation_data: Validation data inputs.
-    :vartype validation_data: ~azure.mgmt.machinelearningservices.models.MLTableJobInput
-    :ivar validation_data_size: The fraction of training dataset that needs to be set aside for
-     validation purpose.
-     Values between (0.0 , 1.0)
-     Applied when validation dataset is not provided.
-    :vartype validation_data_size: float
+        :ivar limit_settings: Required. [Required] Limit settings for the AutoML job.
+        :vartype limit_settings: ~azure.mgmt.machinelearningservices.models.ImageLimitSettings
+        :ivar sweep_settings: Model sweeping and hyperparameter sweeping related settings.
+        :vartype sweep_settings: ~azure.mgmt.machinelearningservices.models.ImageSweepSettings
+        :ivar validation_data: Validation data inputs.
+        :vartype validation_data: ~azure.mgmt.machinelearningservices.models.MLTableJobInput
+        :ivar validation_data_size: The fraction of training dataset that needs to be set aside for
+         validation purpose.
+         Values between (0.0 , 1.0)
+         Applied when validation dataset is not provided.
+        :vartype validation_data_size: float
     """
 
     _validation = {
-        'limit_settings': {'required': True},
+        "limit_settings": {"required": True},
     }
 
     _attribute_map = {
-        'limit_settings': {'key': 'limitSettings', 'type': 'ImageLimitSettings'},
-        'sweep_settings': {'key': 'sweepSettings', 'type': 'ImageSweepSettings'},
-        'validation_data': {'key': 'validationData', 'type': 'MLTableJobInput'},
-        'validation_data_size': {'key': 'validationDataSize', 'type': 'float'},
+        "limit_settings": {"key": "limitSettings", "type": "ImageLimitSettings"},
+        "sweep_settings": {"key": "sweepSettings", "type": "ImageSweepSettings"},
+        "validation_data": {"key": "validationData", "type": "MLTableJobInput"},
+        "validation_data_size": {"key": "validationDataSize", "type": "float"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword limit_settings: Required. [Required] Limit settings for the AutoML job.
         :paramtype limit_settings: ~azure.mgmt.machinelearningservices.models.ImageLimitSettings
@@ -16500,10 +15565,10 @@ def __init__(
         :paramtype validation_data_size: float
         """
         super(ImageVertical, self).__init__(**kwargs)
-        self.limit_settings = kwargs['limit_settings']
-        self.sweep_settings = kwargs.get('sweep_settings', None)
-        self.validation_data = kwargs.get('validation_data', None)
-        self.validation_data_size = kwargs.get('validation_data_size', None)
+        self.limit_settings = kwargs["limit_settings"]
+        self.sweep_settings = kwargs.get("sweep_settings", None)
+        self.validation_data = kwargs.get("validation_data", None)
+        self.validation_data_size = kwargs.get("validation_data_size", None)
 
 
 class ImageClassificationBase(ImageVertical):
@@ -16532,22 +15597,19 @@ class ImageClassificationBase(ImageVertical):
     """
 
     _validation = {
-        'limit_settings': {'required': True},
+        "limit_settings": {"required": True},
     }
 
     _attribute_map = {
-        'limit_settings': {'key': 'limitSettings', 'type': 'ImageLimitSettings'},
-        'sweep_settings': {'key': 'sweepSettings', 'type': 'ImageSweepSettings'},
-        'validation_data': {'key': 'validationData', 'type': 'MLTableJobInput'},
-        'validation_data_size': {'key': 'validationDataSize', 'type': 'float'},
-        'model_settings': {'key': 'modelSettings', 'type': 'ImageModelSettingsClassification'},
-        'search_space': {'key': 'searchSpace', 'type': '[ImageModelDistributionSettingsClassification]'},
+        "limit_settings": {"key": "limitSettings", "type": "ImageLimitSettings"},
+        "sweep_settings": {"key": "sweepSettings", "type": "ImageSweepSettings"},
+        "validation_data": {"key": "validationData", "type": "MLTableJobInput"},
+        "validation_data_size": {"key": "validationDataSize", "type": "float"},
+        "model_settings": {"key": "modelSettings", "type": "ImageModelSettingsClassification"},
+        "search_space": {"key": "searchSpace", "type": "[ImageModelDistributionSettingsClassification]"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword limit_settings: Required. [Required] Limit settings for the AutoML job.
         :paramtype limit_settings: ~azure.mgmt.machinelearningservices.models.ImageLimitSettings
@@ -16569,78 +15631,75 @@ def __init__(
          list[~azure.mgmt.machinelearningservices.models.ImageModelDistributionSettingsClassification]
         """
         super(ImageClassificationBase, self).__init__(**kwargs)
-        self.model_settings = kwargs.get('model_settings', None)
-        self.search_space = kwargs.get('search_space', None)
+        self.model_settings = kwargs.get("model_settings", None)
+        self.search_space = kwargs.get("search_space", None)
 
 
 class ImageClassification(AutoMLVertical, ImageClassificationBase):
     """Image Classification. Multi-class image classification is used when an image is classified with only a single label
-from a set of classes - e.g. each image is classified as either an image of a 'cat' or a 'dog' or a 'duck'.
+    from a set of classes - e.g. each image is classified as either an image of a 'cat' or a 'dog' or a 'duck'.
 
-    All required parameters must be populated in order to send to Azure.
+        All required parameters must be populated in order to send to Azure.
 
-    :ivar limit_settings: Required. [Required] Limit settings for the AutoML job.
-    :vartype limit_settings: ~azure.mgmt.machinelearningservices.models.ImageLimitSettings
-    :ivar sweep_settings: Model sweeping and hyperparameter sweeping related settings.
-    :vartype sweep_settings: ~azure.mgmt.machinelearningservices.models.ImageSweepSettings
-    :ivar validation_data: Validation data inputs.
-    :vartype validation_data: ~azure.mgmt.machinelearningservices.models.MLTableJobInput
-    :ivar validation_data_size: The fraction of training dataset that needs to be set aside for
-     validation purpose.
-     Values between (0.0 , 1.0)
-     Applied when validation dataset is not provided.
-    :vartype validation_data_size: float
-    :ivar model_settings: Settings used for training the model.
-    :vartype model_settings:
-     ~azure.mgmt.machinelearningservices.models.ImageModelSettingsClassification
-    :ivar search_space: Search space for sampling different combinations of models and their
-     hyperparameters.
-    :vartype search_space:
-     list[~azure.mgmt.machinelearningservices.models.ImageModelDistributionSettingsClassification]
-    :ivar log_verbosity: Log verbosity for the job. Possible values include: "NotSet", "Debug",
-     "Info", "Warning", "Error", "Critical".
-    :vartype log_verbosity: str or ~azure.mgmt.machinelearningservices.models.LogVerbosity
-    :ivar target_column_name: Target column name: This is prediction values column.
-     Also known as label column name in context of classification tasks.
-    :vartype target_column_name: str
-    :ivar task_type: Required. [Required] Task type for AutoMLJob.Constant filled by server.
-     Possible values include: "Classification", "Regression", "Forecasting", "ImageClassification",
-     "ImageClassificationMultilabel", "ImageObjectDetection", "ImageInstanceSegmentation",
-     "TextClassification", "TextClassificationMultilabel", "TextNER".
-    :vartype task_type: str or ~azure.mgmt.machinelearningservices.models.TaskType
-    :ivar training_data: Required. [Required] Training data input.
-    :vartype training_data: ~azure.mgmt.machinelearningservices.models.MLTableJobInput
-    :ivar primary_metric: Primary metric to optimize for this task. Possible values include:
-     "AUCWeighted", "Accuracy", "NormMacroRecall", "AveragePrecisionScoreWeighted",
-     "PrecisionScoreWeighted".
-    :vartype primary_metric: str or
-     ~azure.mgmt.machinelearningservices.models.ClassificationPrimaryMetrics
+        :ivar limit_settings: Required. [Required] Limit settings for the AutoML job.
+        :vartype limit_settings: ~azure.mgmt.machinelearningservices.models.ImageLimitSettings
+        :ivar sweep_settings: Model sweeping and hyperparameter sweeping related settings.
+        :vartype sweep_settings: ~azure.mgmt.machinelearningservices.models.ImageSweepSettings
+        :ivar validation_data: Validation data inputs.
+        :vartype validation_data: ~azure.mgmt.machinelearningservices.models.MLTableJobInput
+        :ivar validation_data_size: The fraction of training dataset that needs to be set aside for
+         validation purpose.
+         Values between (0.0 , 1.0)
+         Applied when validation dataset is not provided.
+        :vartype validation_data_size: float
+        :ivar model_settings: Settings used for training the model.
+        :vartype model_settings:
+         ~azure.mgmt.machinelearningservices.models.ImageModelSettingsClassification
+        :ivar search_space: Search space for sampling different combinations of models and their
+         hyperparameters.
+        :vartype search_space:
+         list[~azure.mgmt.machinelearningservices.models.ImageModelDistributionSettingsClassification]
+        :ivar log_verbosity: Log verbosity for the job. Possible values include: "NotSet", "Debug",
+         "Info", "Warning", "Error", "Critical".
+        :vartype log_verbosity: str or ~azure.mgmt.machinelearningservices.models.LogVerbosity
+        :ivar target_column_name: Target column name: This is prediction values column.
+         Also known as label column name in context of classification tasks.
+        :vartype target_column_name: str
+        :ivar task_type: Required. [Required] Task type for AutoMLJob.Constant filled by server.
+         Possible values include: "Classification", "Regression", "Forecasting", "ImageClassification",
+         "ImageClassificationMultilabel", "ImageObjectDetection", "ImageInstanceSegmentation",
+         "TextClassification", "TextClassificationMultilabel", "TextNER".
+        :vartype task_type: str or ~azure.mgmt.machinelearningservices.models.TaskType
+        :ivar training_data: Required. [Required] Training data input.
+        :vartype training_data: ~azure.mgmt.machinelearningservices.models.MLTableJobInput
+        :ivar primary_metric: Primary metric to optimize for this task. Possible values include:
+         "AUCWeighted", "Accuracy", "NormMacroRecall", "AveragePrecisionScoreWeighted",
+         "PrecisionScoreWeighted".
+        :vartype primary_metric: str or
+         ~azure.mgmt.machinelearningservices.models.ClassificationPrimaryMetrics
     """
 
     _validation = {
-        'limit_settings': {'required': True},
-        'task_type': {'required': True},
-        'training_data': {'required': True},
+        "limit_settings": {"required": True},
+        "task_type": {"required": True},
+        "training_data": {"required": True},
     }
 
     _attribute_map = {
-        'limit_settings': {'key': 'limitSettings', 'type': 'ImageLimitSettings'},
-        'sweep_settings': {'key': 'sweepSettings', 'type': 'ImageSweepSettings'},
-        'validation_data': {'key': 'validationData', 'type': 'MLTableJobInput'},
-        'validation_data_size': {'key': 'validationDataSize', 'type': 'float'},
-        'model_settings': {'key': 'modelSettings', 'type': 'ImageModelSettingsClassification'},
-        'search_space': {'key': 'searchSpace', 'type': '[ImageModelDistributionSettingsClassification]'},
-        'log_verbosity': {'key': 'logVerbosity', 'type': 'str'},
-        'target_column_name': {'key': 'targetColumnName', 'type': 'str'},
-        'task_type': {'key': 'taskType', 'type': 'str'},
-        'training_data': {'key': 'trainingData', 'type': 'MLTableJobInput'},
-        'primary_metric': {'key': 'primaryMetric', 'type': 'str'},
+        "limit_settings": {"key": "limitSettings", "type": "ImageLimitSettings"},
+        "sweep_settings": {"key": "sweepSettings", "type": "ImageSweepSettings"},
+        "validation_data": {"key": "validationData", "type": "MLTableJobInput"},
+        "validation_data_size": {"key": "validationDataSize", "type": "float"},
+        "model_settings": {"key": "modelSettings", "type": "ImageModelSettingsClassification"},
+        "search_space": {"key": "searchSpace", "type": "[ImageModelDistributionSettingsClassification]"},
+        "log_verbosity": {"key": "logVerbosity", "type": "str"},
+        "target_column_name": {"key": "targetColumnName", "type": "str"},
+        "task_type": {"key": "taskType", "type": "str"},
+        "training_data": {"key": "trainingData", "type": "MLTableJobInput"},
+        "primary_metric": {"key": "primaryMetric", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword limit_settings: Required. [Required] Limit settings for the AutoML job.
         :paramtype limit_settings: ~azure.mgmt.machinelearningservices.models.ImageLimitSettings
@@ -16675,87 +15734,84 @@ def __init__(
          ~azure.mgmt.machinelearningservices.models.ClassificationPrimaryMetrics
         """
         super(ImageClassification, self).__init__(**kwargs)
-        self.limit_settings = kwargs['limit_settings']
-        self.sweep_settings = kwargs.get('sweep_settings', None)
-        self.validation_data = kwargs.get('validation_data', None)
-        self.validation_data_size = kwargs.get('validation_data_size', None)
-        self.model_settings = kwargs.get('model_settings', None)
-        self.search_space = kwargs.get('search_space', None)
-        self.task_type = 'ImageClassification'  # type: str
-        self.primary_metric = kwargs.get('primary_metric', None)
-        self.log_verbosity = kwargs.get('log_verbosity', None)
-        self.target_column_name = kwargs.get('target_column_name', None)
-        self.training_data = kwargs['training_data']
+        self.limit_settings = kwargs["limit_settings"]
+        self.sweep_settings = kwargs.get("sweep_settings", None)
+        self.validation_data = kwargs.get("validation_data", None)
+        self.validation_data_size = kwargs.get("validation_data_size", None)
+        self.model_settings = kwargs.get("model_settings", None)
+        self.search_space = kwargs.get("search_space", None)
+        self.task_type = "ImageClassification"  # type: str
+        self.primary_metric = kwargs.get("primary_metric", None)
+        self.log_verbosity = kwargs.get("log_verbosity", None)
+        self.target_column_name = kwargs.get("target_column_name", None)
+        self.training_data = kwargs["training_data"]
 
 
 class ImageClassificationMultilabel(AutoMLVertical, ImageClassificationBase):
     """Image Classification Multilabel. Multi-label image classification is used when an image could have one or more labels
-from a set of labels - e.g. an image could be labeled with both 'cat' and 'dog'.
+    from a set of labels - e.g. an image could be labeled with both 'cat' and 'dog'.
 
-    All required parameters must be populated in order to send to Azure.
+        All required parameters must be populated in order to send to Azure.
 
-    :ivar limit_settings: Required. [Required] Limit settings for the AutoML job.
-    :vartype limit_settings: ~azure.mgmt.machinelearningservices.models.ImageLimitSettings
-    :ivar sweep_settings: Model sweeping and hyperparameter sweeping related settings.
-    :vartype sweep_settings: ~azure.mgmt.machinelearningservices.models.ImageSweepSettings
-    :ivar validation_data: Validation data inputs.
-    :vartype validation_data: ~azure.mgmt.machinelearningservices.models.MLTableJobInput
-    :ivar validation_data_size: The fraction of training dataset that needs to be set aside for
-     validation purpose.
-     Values between (0.0 , 1.0)
-     Applied when validation dataset is not provided.
-    :vartype validation_data_size: float
-    :ivar model_settings: Settings used for training the model.
-    :vartype model_settings:
-     ~azure.mgmt.machinelearningservices.models.ImageModelSettingsClassification
-    :ivar search_space: Search space for sampling different combinations of models and their
-     hyperparameters.
-    :vartype search_space:
-     list[~azure.mgmt.machinelearningservices.models.ImageModelDistributionSettingsClassification]
-    :ivar log_verbosity: Log verbosity for the job. Possible values include: "NotSet", "Debug",
-     "Info", "Warning", "Error", "Critical".
-    :vartype log_verbosity: str or ~azure.mgmt.machinelearningservices.models.LogVerbosity
-    :ivar target_column_name: Target column name: This is prediction values column.
-     Also known as label column name in context of classification tasks.
-    :vartype target_column_name: str
-    :ivar task_type: Required. [Required] Task type for AutoMLJob.Constant filled by server.
-     Possible values include: "Classification", "Regression", "Forecasting", "ImageClassification",
-     "ImageClassificationMultilabel", "ImageObjectDetection", "ImageInstanceSegmentation",
-     "TextClassification", "TextClassificationMultilabel", "TextNER".
-    :vartype task_type: str or ~azure.mgmt.machinelearningservices.models.TaskType
-    :ivar training_data: Required. [Required] Training data input.
-    :vartype training_data: ~azure.mgmt.machinelearningservices.models.MLTableJobInput
-    :ivar primary_metric: Primary metric to optimize for this task. Possible values include:
-     "AUCWeighted", "Accuracy", "NormMacroRecall", "AveragePrecisionScoreWeighted",
-     "PrecisionScoreWeighted", "IOU".
-    :vartype primary_metric: str or
-     ~azure.mgmt.machinelearningservices.models.ClassificationMultilabelPrimaryMetrics
+        :ivar limit_settings: Required. [Required] Limit settings for the AutoML job.
+        :vartype limit_settings: ~azure.mgmt.machinelearningservices.models.ImageLimitSettings
+        :ivar sweep_settings: Model sweeping and hyperparameter sweeping related settings.
+        :vartype sweep_settings: ~azure.mgmt.machinelearningservices.models.ImageSweepSettings
+        :ivar validation_data: Validation data inputs.
+        :vartype validation_data: ~azure.mgmt.machinelearningservices.models.MLTableJobInput
+        :ivar validation_data_size: The fraction of training dataset that needs to be set aside for
+         validation purpose.
+         Values between (0.0 , 1.0)
+         Applied when validation dataset is not provided.
+        :vartype validation_data_size: float
+        :ivar model_settings: Settings used for training the model.
+        :vartype model_settings:
+         ~azure.mgmt.machinelearningservices.models.ImageModelSettingsClassification
+        :ivar search_space: Search space for sampling different combinations of models and their
+         hyperparameters.
+        :vartype search_space:
+         list[~azure.mgmt.machinelearningservices.models.ImageModelDistributionSettingsClassification]
+        :ivar log_verbosity: Log verbosity for the job. Possible values include: "NotSet", "Debug",
+         "Info", "Warning", "Error", "Critical".
+        :vartype log_verbosity: str or ~azure.mgmt.machinelearningservices.models.LogVerbosity
+        :ivar target_column_name: Target column name: This is prediction values column.
+         Also known as label column name in context of classification tasks.
+        :vartype target_column_name: str
+        :ivar task_type: Required. [Required] Task type for AutoMLJob.Constant filled by server.
+         Possible values include: "Classification", "Regression", "Forecasting", "ImageClassification",
+         "ImageClassificationMultilabel", "ImageObjectDetection", "ImageInstanceSegmentation",
+         "TextClassification", "TextClassificationMultilabel", "TextNER".
+        :vartype task_type: str or ~azure.mgmt.machinelearningservices.models.TaskType
+        :ivar training_data: Required. [Required] Training data input.
+        :vartype training_data: ~azure.mgmt.machinelearningservices.models.MLTableJobInput
+        :ivar primary_metric: Primary metric to optimize for this task. Possible values include:
+         "AUCWeighted", "Accuracy", "NormMacroRecall", "AveragePrecisionScoreWeighted",
+         "PrecisionScoreWeighted", "IOU".
+        :vartype primary_metric: str or
+         ~azure.mgmt.machinelearningservices.models.ClassificationMultilabelPrimaryMetrics
     """
 
     _validation = {
-        'limit_settings': {'required': True},
-        'task_type': {'required': True},
-        'training_data': {'required': True},
+        "limit_settings": {"required": True},
+        "task_type": {"required": True},
+        "training_data": {"required": True},
     }
 
     _attribute_map = {
-        'limit_settings': {'key': 'limitSettings', 'type': 'ImageLimitSettings'},
-        'sweep_settings': {'key': 'sweepSettings', 'type': 'ImageSweepSettings'},
-        'validation_data': {'key': 'validationData', 'type': 'MLTableJobInput'},
-        'validation_data_size': {'key': 'validationDataSize', 'type': 'float'},
-        'model_settings': {'key': 'modelSettings', 'type': 'ImageModelSettingsClassification'},
-        'search_space': {'key': 'searchSpace', 'type': '[ImageModelDistributionSettingsClassification]'},
-        'log_verbosity': {'key': 'logVerbosity', 'type': 'str'},
-        'target_column_name': {'key': 'targetColumnName', 'type': 'str'},
-        'task_type': {'key': 'taskType', 'type': 'str'},
-        'training_data': {'key': 'trainingData', 'type': 'MLTableJobInput'},
-        'primary_metric': {'key': 'primaryMetric', 'type': 'str'},
+        "limit_settings": {"key": "limitSettings", "type": "ImageLimitSettings"},
+        "sweep_settings": {"key": "sweepSettings", "type": "ImageSweepSettings"},
+        "validation_data": {"key": "validationData", "type": "MLTableJobInput"},
+        "validation_data_size": {"key": "validationDataSize", "type": "float"},
+        "model_settings": {"key": "modelSettings", "type": "ImageModelSettingsClassification"},
+        "search_space": {"key": "searchSpace", "type": "[ImageModelDistributionSettingsClassification]"},
+        "log_verbosity": {"key": "logVerbosity", "type": "str"},
+        "target_column_name": {"key": "targetColumnName", "type": "str"},
+        "task_type": {"key": "taskType", "type": "str"},
+        "training_data": {"key": "trainingData", "type": "MLTableJobInput"},
+        "primary_metric": {"key": "primaryMetric", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword limit_settings: Required. [Required] Limit settings for the AutoML job.
         :paramtype limit_settings: ~azure.mgmt.machinelearningservices.models.ImageLimitSettings
@@ -16790,17 +15846,17 @@ def __init__(
          ~azure.mgmt.machinelearningservices.models.ClassificationMultilabelPrimaryMetrics
         """
         super(ImageClassificationMultilabel, self).__init__(**kwargs)
-        self.limit_settings = kwargs['limit_settings']
-        self.sweep_settings = kwargs.get('sweep_settings', None)
-        self.validation_data = kwargs.get('validation_data', None)
-        self.validation_data_size = kwargs.get('validation_data_size', None)
-        self.model_settings = kwargs.get('model_settings', None)
-        self.search_space = kwargs.get('search_space', None)
-        self.task_type = 'ImageClassificationMultilabel'  # type: str
-        self.primary_metric = kwargs.get('primary_metric', None)
-        self.log_verbosity = kwargs.get('log_verbosity', None)
-        self.target_column_name = kwargs.get('target_column_name', None)
-        self.training_data = kwargs['training_data']
+        self.limit_settings = kwargs["limit_settings"]
+        self.sweep_settings = kwargs.get("sweep_settings", None)
+        self.validation_data = kwargs.get("validation_data", None)
+        self.validation_data_size = kwargs.get("validation_data_size", None)
+        self.model_settings = kwargs.get("model_settings", None)
+        self.search_space = kwargs.get("search_space", None)
+        self.task_type = "ImageClassificationMultilabel"  # type: str
+        self.primary_metric = kwargs.get("primary_metric", None)
+        self.log_verbosity = kwargs.get("log_verbosity", None)
+        self.target_column_name = kwargs.get("target_column_name", None)
+        self.training_data = kwargs["training_data"]
 
 
 class ImageObjectDetectionBase(ImageVertical):
@@ -16829,22 +15885,19 @@ class ImageObjectDetectionBase(ImageVertical):
     """
 
     _validation = {
-        'limit_settings': {'required': True},
+        "limit_settings": {"required": True},
     }
 
     _attribute_map = {
-        'limit_settings': {'key': 'limitSettings', 'type': 'ImageLimitSettings'},
-        'sweep_settings': {'key': 'sweepSettings', 'type': 'ImageSweepSettings'},
-        'validation_data': {'key': 'validationData', 'type': 'MLTableJobInput'},
-        'validation_data_size': {'key': 'validationDataSize', 'type': 'float'},
-        'model_settings': {'key': 'modelSettings', 'type': 'ImageModelSettingsObjectDetection'},
-        'search_space': {'key': 'searchSpace', 'type': '[ImageModelDistributionSettingsObjectDetection]'},
+        "limit_settings": {"key": "limitSettings", "type": "ImageLimitSettings"},
+        "sweep_settings": {"key": "sweepSettings", "type": "ImageSweepSettings"},
+        "validation_data": {"key": "validationData", "type": "MLTableJobInput"},
+        "validation_data_size": {"key": "validationDataSize", "type": "float"},
+        "model_settings": {"key": "modelSettings", "type": "ImageModelSettingsObjectDetection"},
+        "search_space": {"key": "searchSpace", "type": "[ImageModelDistributionSettingsObjectDetection]"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword limit_settings: Required. [Required] Limit settings for the AutoML job.
         :paramtype limit_settings: ~azure.mgmt.machinelearningservices.models.ImageLimitSettings
@@ -16866,77 +15919,74 @@ def __init__(
          list[~azure.mgmt.machinelearningservices.models.ImageModelDistributionSettingsObjectDetection]
         """
         super(ImageObjectDetectionBase, self).__init__(**kwargs)
-        self.model_settings = kwargs.get('model_settings', None)
-        self.search_space = kwargs.get('search_space', None)
+        self.model_settings = kwargs.get("model_settings", None)
+        self.search_space = kwargs.get("search_space", None)
 
 
 class ImageInstanceSegmentation(AutoMLVertical, ImageObjectDetectionBase):
     """Image Instance Segmentation. Instance segmentation is used to identify objects in an image at the pixel level,
-drawing a polygon around each object in the image.
+    drawing a polygon around each object in the image.
 
-    All required parameters must be populated in order to send to Azure.
+        All required parameters must be populated in order to send to Azure.
 
-    :ivar limit_settings: Required. [Required] Limit settings for the AutoML job.
-    :vartype limit_settings: ~azure.mgmt.machinelearningservices.models.ImageLimitSettings
-    :ivar sweep_settings: Model sweeping and hyperparameter sweeping related settings.
-    :vartype sweep_settings: ~azure.mgmt.machinelearningservices.models.ImageSweepSettings
-    :ivar validation_data: Validation data inputs.
-    :vartype validation_data: ~azure.mgmt.machinelearningservices.models.MLTableJobInput
-    :ivar validation_data_size: The fraction of training dataset that needs to be set aside for
-     validation purpose.
-     Values between (0.0 , 1.0)
-     Applied when validation dataset is not provided.
-    :vartype validation_data_size: float
-    :ivar model_settings: Settings used for training the model.
-    :vartype model_settings:
-     ~azure.mgmt.machinelearningservices.models.ImageModelSettingsObjectDetection
-    :ivar search_space: Search space for sampling different combinations of models and their
-     hyperparameters.
-    :vartype search_space:
-     list[~azure.mgmt.machinelearningservices.models.ImageModelDistributionSettingsObjectDetection]
-    :ivar log_verbosity: Log verbosity for the job. Possible values include: "NotSet", "Debug",
-     "Info", "Warning", "Error", "Critical".
-    :vartype log_verbosity: str or ~azure.mgmt.machinelearningservices.models.LogVerbosity
-    :ivar target_column_name: Target column name: This is prediction values column.
-     Also known as label column name in context of classification tasks.
-    :vartype target_column_name: str
-    :ivar task_type: Required. [Required] Task type for AutoMLJob.Constant filled by server.
-     Possible values include: "Classification", "Regression", "Forecasting", "ImageClassification",
-     "ImageClassificationMultilabel", "ImageObjectDetection", "ImageInstanceSegmentation",
-     "TextClassification", "TextClassificationMultilabel", "TextNER".
-    :vartype task_type: str or ~azure.mgmt.machinelearningservices.models.TaskType
-    :ivar training_data: Required. [Required] Training data input.
-    :vartype training_data: ~azure.mgmt.machinelearningservices.models.MLTableJobInput
-    :ivar primary_metric: Primary metric to optimize for this task. Possible values include:
-     "MeanAveragePrecision".
-    :vartype primary_metric: str or
-     ~azure.mgmt.machinelearningservices.models.InstanceSegmentationPrimaryMetrics
+        :ivar limit_settings: Required. [Required] Limit settings for the AutoML job.
+        :vartype limit_settings: ~azure.mgmt.machinelearningservices.models.ImageLimitSettings
+        :ivar sweep_settings: Model sweeping and hyperparameter sweeping related settings.
+        :vartype sweep_settings: ~azure.mgmt.machinelearningservices.models.ImageSweepSettings
+        :ivar validation_data: Validation data inputs.
+        :vartype validation_data: ~azure.mgmt.machinelearningservices.models.MLTableJobInput
+        :ivar validation_data_size: The fraction of training dataset that needs to be set aside for
+         validation purpose.
+         Values between (0.0 , 1.0)
+         Applied when validation dataset is not provided.
+        :vartype validation_data_size: float
+        :ivar model_settings: Settings used for training the model.
+        :vartype model_settings:
+         ~azure.mgmt.machinelearningservices.models.ImageModelSettingsObjectDetection
+        :ivar search_space: Search space for sampling different combinations of models and their
+         hyperparameters.
+        :vartype search_space:
+         list[~azure.mgmt.machinelearningservices.models.ImageModelDistributionSettingsObjectDetection]
+        :ivar log_verbosity: Log verbosity for the job. Possible values include: "NotSet", "Debug",
+         "Info", "Warning", "Error", "Critical".
+        :vartype log_verbosity: str or ~azure.mgmt.machinelearningservices.models.LogVerbosity
+        :ivar target_column_name: Target column name: This is prediction values column.
+         Also known as label column name in context of classification tasks.
+        :vartype target_column_name: str
+        :ivar task_type: Required. [Required] Task type for AutoMLJob.Constant filled by server.
+         Possible values include: "Classification", "Regression", "Forecasting", "ImageClassification",
+         "ImageClassificationMultilabel", "ImageObjectDetection", "ImageInstanceSegmentation",
+         "TextClassification", "TextClassificationMultilabel", "TextNER".
+        :vartype task_type: str or ~azure.mgmt.machinelearningservices.models.TaskType
+        :ivar training_data: Required. [Required] Training data input.
+        :vartype training_data: ~azure.mgmt.machinelearningservices.models.MLTableJobInput
+        :ivar primary_metric: Primary metric to optimize for this task. Possible values include:
+         "MeanAveragePrecision".
+        :vartype primary_metric: str or
+         ~azure.mgmt.machinelearningservices.models.InstanceSegmentationPrimaryMetrics
     """
 
     _validation = {
-        'limit_settings': {'required': True},
-        'task_type': {'required': True},
-        'training_data': {'required': True},
+        "limit_settings": {"required": True},
+        "task_type": {"required": True},
+        "training_data": {"required": True},
     }
 
     _attribute_map = {
-        'limit_settings': {'key': 'limitSettings', 'type': 'ImageLimitSettings'},
-        'sweep_settings': {'key': 'sweepSettings', 'type': 'ImageSweepSettings'},
-        'validation_data': {'key': 'validationData', 'type': 'MLTableJobInput'},
-        'validation_data_size': {'key': 'validationDataSize', 'type': 'float'},
-        'model_settings': {'key': 'modelSettings', 'type': 'ImageModelSettingsObjectDetection'},
-        'search_space': {'key': 'searchSpace', 'type': '[ImageModelDistributionSettingsObjectDetection]'},
-        'log_verbosity': {'key': 'logVerbosity', 'type': 'str'},
-        'target_column_name': {'key': 'targetColumnName', 'type': 'str'},
-        'task_type': {'key': 'taskType', 'type': 'str'},
-        'training_data': {'key': 'trainingData', 'type': 'MLTableJobInput'},
-        'primary_metric': {'key': 'primaryMetric', 'type': 'str'},
+        "limit_settings": {"key": "limitSettings", "type": "ImageLimitSettings"},
+        "sweep_settings": {"key": "sweepSettings", "type": "ImageSweepSettings"},
+        "validation_data": {"key": "validationData", "type": "MLTableJobInput"},
+        "validation_data_size": {"key": "validationDataSize", "type": "float"},
+        "model_settings": {"key": "modelSettings", "type": "ImageModelSettingsObjectDetection"},
+        "search_space": {"key": "searchSpace", "type": "[ImageModelDistributionSettingsObjectDetection]"},
+        "log_verbosity": {"key": "logVerbosity", "type": "str"},
+        "target_column_name": {"key": "targetColumnName", "type": "str"},
+        "task_type": {"key": "taskType", "type": "str"},
+        "training_data": {"key": "trainingData", "type": "MLTableJobInput"},
+        "primary_metric": {"key": "primaryMetric", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword limit_settings: Required. [Required] Limit settings for the AutoML job.
         :paramtype limit_settings: ~azure.mgmt.machinelearningservices.models.ImageLimitSettings
@@ -16970,17 +16020,17 @@ def __init__(
          ~azure.mgmt.machinelearningservices.models.InstanceSegmentationPrimaryMetrics
         """
         super(ImageInstanceSegmentation, self).__init__(**kwargs)
-        self.limit_settings = kwargs['limit_settings']
-        self.sweep_settings = kwargs.get('sweep_settings', None)
-        self.validation_data = kwargs.get('validation_data', None)
-        self.validation_data_size = kwargs.get('validation_data_size', None)
-        self.model_settings = kwargs.get('model_settings', None)
-        self.search_space = kwargs.get('search_space', None)
-        self.task_type = 'ImageInstanceSegmentation'  # type: str
-        self.primary_metric = kwargs.get('primary_metric', None)
-        self.log_verbosity = kwargs.get('log_verbosity', None)
-        self.target_column_name = kwargs.get('target_column_name', None)
-        self.training_data = kwargs['training_data']
+        self.limit_settings = kwargs["limit_settings"]
+        self.sweep_settings = kwargs.get("sweep_settings", None)
+        self.validation_data = kwargs.get("validation_data", None)
+        self.validation_data_size = kwargs.get("validation_data_size", None)
+        self.model_settings = kwargs.get("model_settings", None)
+        self.search_space = kwargs.get("search_space", None)
+        self.task_type = "ImageInstanceSegmentation"  # type: str
+        self.primary_metric = kwargs.get("primary_metric", None)
+        self.log_verbosity = kwargs.get("log_verbosity", None)
+        self.target_column_name = kwargs.get("target_column_name", None)
+        self.training_data = kwargs["training_data"]
 
 
 class ImageLimitSettings(msrest.serialization.Model):
@@ -16995,15 +16045,12 @@ class ImageLimitSettings(msrest.serialization.Model):
     """
 
     _attribute_map = {
-        'max_concurrent_trials': {'key': 'maxConcurrentTrials', 'type': 'int'},
-        'max_trials': {'key': 'maxTrials', 'type': 'int'},
-        'timeout': {'key': 'timeout', 'type': 'duration'},
+        "max_concurrent_trials": {"key": "maxConcurrentTrials", "type": "int"},
+        "max_trials": {"key": "maxTrials", "type": "int"},
+        "timeout": {"key": "timeout", "type": "duration"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword max_concurrent_trials: Maximum number of concurrent AutoML iterations.
         :paramtype max_concurrent_trials: int
@@ -17013,9 +16060,9 @@ def __init__(
         :paramtype timeout: ~datetime.timedelta
         """
         super(ImageLimitSettings, self).__init__(**kwargs)
-        self.max_concurrent_trials = kwargs.get('max_concurrent_trials', 1)
-        self.max_trials = kwargs.get('max_trials', 1)
-        self.timeout = kwargs.get('timeout', "P7D")
+        self.max_concurrent_trials = kwargs.get("max_concurrent_trials", 1)
+        self.max_trials = kwargs.get("max_trials", 1)
+        self.timeout = kwargs.get("timeout", "P7D")
 
 
 class ImageMetadata(msrest.serialization.Model):
@@ -17036,20 +16083,17 @@ class ImageMetadata(msrest.serialization.Model):
     """
 
     _validation = {
-        'os_patching_status': {'readonly': True},
+        "os_patching_status": {"readonly": True},
     }
 
     _attribute_map = {
-        'current_image_version': {'key': 'currentImageVersion', 'type': 'str'},
-        'latest_image_version': {'key': 'latestImageVersion', 'type': 'str'},
-        'is_latest_os_image_version': {'key': 'isLatestOsImageVersion', 'type': 'bool'},
-        'os_patching_status': {'key': 'osPatchingStatus', 'type': 'OsPatchingStatus'},
+        "current_image_version": {"key": "currentImageVersion", "type": "str"},
+        "latest_image_version": {"key": "latestImageVersion", "type": "str"},
+        "is_latest_os_image_version": {"key": "isLatestOsImageVersion", "type": "bool"},
+        "os_patching_status": {"key": "osPatchingStatus", "type": "OsPatchingStatus"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword current_image_version: Specifies the current operating system image version this
          compute instance is running on.
@@ -17061,144 +16105,141 @@ def __init__(
         :paramtype is_latest_os_image_version: bool
         """
         super(ImageMetadata, self).__init__(**kwargs)
-        self.current_image_version = kwargs.get('current_image_version', None)
-        self.latest_image_version = kwargs.get('latest_image_version', None)
-        self.is_latest_os_image_version = kwargs.get('is_latest_os_image_version', None)
+        self.current_image_version = kwargs.get("current_image_version", None)
+        self.latest_image_version = kwargs.get("latest_image_version", None)
+        self.is_latest_os_image_version = kwargs.get("is_latest_os_image_version", None)
         self.os_patching_status = None
 
 
 class ImageModelDistributionSettings(msrest.serialization.Model):
     """Distribution expressions to sweep over values of model settings.
 
-:code:`<example>
-Some examples are:
-```
-ModelName = "choice('seresnext', 'resnest50')";
-LearningRate = "uniform(0.001, 0.01)";
-LayersToFreeze = "choice(0, 2)";
-```</example>`
-All distributions can be specified as distribution_name(min, max) or choice(val1, val2, ..., valn)
-where distribution name can be: uniform, quniform, loguniform, etc
-For more details on how to compose distribution expressions please check the documentation:
-https://docs.microsoft.com/en-us/azure/machine-learning/how-to-tune-hyperparameters
-For more information on the available settings please visit the official documentation:
-https://docs.microsoft.com/en-us/azure/machine-learning/how-to-auto-train-image-models.
-
-    :ivar ams_gradient: Enable AMSGrad when optimizer is 'adam' or 'adamw'.
-    :vartype ams_gradient: str
-    :ivar augmentations: Settings for using Augmentations.
-    :vartype augmentations: str
-    :ivar beta1: Value of 'beta1' when optimizer is 'adam' or 'adamw'. Must be a float in the range
-     [0, 1].
-    :vartype beta1: str
-    :ivar beta2: Value of 'beta2' when optimizer is 'adam' or 'adamw'. Must be a float in the range
-     [0, 1].
-    :vartype beta2: str
-    :ivar distributed: Whether to use distributer training.
-    :vartype distributed: str
-    :ivar early_stopping: Enable early stopping logic during training.
-    :vartype early_stopping: str
-    :ivar early_stopping_delay: Minimum number of epochs or validation evaluations to wait before
-     primary metric improvement
-     is tracked for early stopping. Must be a positive integer.
-    :vartype early_stopping_delay: str
-    :ivar early_stopping_patience: Minimum number of epochs or validation evaluations with no
-     primary metric improvement before
-     the run is stopped. Must be a positive integer.
-    :vartype early_stopping_patience: str
-    :ivar enable_onnx_normalization: Enable normalization when exporting ONNX model.
-    :vartype enable_onnx_normalization: str
-    :ivar evaluation_frequency: Frequency to evaluate validation dataset to get metric scores. Must
-     be a positive integer.
-    :vartype evaluation_frequency: str
-    :ivar gradient_accumulation_step: Gradient accumulation means running a configured number of
-     "GradAccumulationStep" steps without
-     updating the model weights while accumulating the gradients of those steps, and then using
-     the accumulated gradients to compute the weight updates. Must be a positive integer.
-    :vartype gradient_accumulation_step: str
-    :ivar layers_to_freeze: Number of layers to freeze for the model. Must be a positive integer.
-     For instance, passing 2 as value for 'seresnext' means
-     freezing layer0 and layer1. For a full list of models supported and details on layer freeze,
-     please
-     see: https://docs.microsoft.com/en-us/azure/machine-learning/how-to-auto-train-image-models.
-    :vartype layers_to_freeze: str
-    :ivar learning_rate: Initial learning rate. Must be a float in the range [0, 1].
-    :vartype learning_rate: str
-    :ivar learning_rate_scheduler: Type of learning rate scheduler. Must be 'warmup_cosine' or
-     'step'.
-    :vartype learning_rate_scheduler: str
-    :ivar model_name: Name of the model to use for training.
-     For more information on the available models please visit the official documentation:
-     https://docs.microsoft.com/en-us/azure/machine-learning/how-to-auto-train-image-models.
-    :vartype model_name: str
-    :ivar momentum: Value of momentum when optimizer is 'sgd'. Must be a float in the range [0, 1].
-    :vartype momentum: str
-    :ivar nesterov: Enable nesterov when optimizer is 'sgd'.
-    :vartype nesterov: str
-    :ivar number_of_epochs: Number of training epochs. Must be a positive integer.
-    :vartype number_of_epochs: str
-    :ivar number_of_workers: Number of data loader workers. Must be a non-negative integer.
-    :vartype number_of_workers: str
-    :ivar optimizer: Type of optimizer. Must be either 'sgd', 'adam', or 'adamw'.
-    :vartype optimizer: str
-    :ivar random_seed: Random seed to be used when using deterministic training.
-    :vartype random_seed: str
-    :ivar step_lr_gamma: Value of gamma when learning rate scheduler is 'step'. Must be a float in
-     the range [0, 1].
-    :vartype step_lr_gamma: str
-    :ivar step_lr_step_size: Value of step size when learning rate scheduler is 'step'. Must be a
-     positive integer.
-    :vartype step_lr_step_size: str
-    :ivar training_batch_size: Training batch size. Must be a positive integer.
-    :vartype training_batch_size: str
-    :ivar validation_batch_size: Validation batch size. Must be a positive integer.
-    :vartype validation_batch_size: str
-    :ivar warmup_cosine_lr_cycles: Value of cosine cycle when learning rate scheduler is
-     'warmup_cosine'. Must be a float in the range [0, 1].
-    :vartype warmup_cosine_lr_cycles: str
-    :ivar warmup_cosine_lr_warmup_epochs: Value of warmup epochs when learning rate scheduler is
-     'warmup_cosine'. Must be a positive integer.
-    :vartype warmup_cosine_lr_warmup_epochs: str
-    :ivar weight_decay: Value of weight decay when optimizer is 'sgd', 'adam', or 'adamw'. Must be
-     a float in the range[0, 1].
-    :vartype weight_decay: str
-    """
-
-    _attribute_map = {
-        'ams_gradient': {'key': 'amsGradient', 'type': 'str'},
-        'augmentations': {'key': 'augmentations', 'type': 'str'},
-        'beta1': {'key': 'beta1', 'type': 'str'},
-        'beta2': {'key': 'beta2', 'type': 'str'},
-        'distributed': {'key': 'distributed', 'type': 'str'},
-        'early_stopping': {'key': 'earlyStopping', 'type': 'str'},
-        'early_stopping_delay': {'key': 'earlyStoppingDelay', 'type': 'str'},
-        'early_stopping_patience': {'key': 'earlyStoppingPatience', 'type': 'str'},
-        'enable_onnx_normalization': {'key': 'enableOnnxNormalization', 'type': 'str'},
-        'evaluation_frequency': {'key': 'evaluationFrequency', 'type': 'str'},
-        'gradient_accumulation_step': {'key': 'gradientAccumulationStep', 'type': 'str'},
-        'layers_to_freeze': {'key': 'layersToFreeze', 'type': 'str'},
-        'learning_rate': {'key': 'learningRate', 'type': 'str'},
-        'learning_rate_scheduler': {'key': 'learningRateScheduler', 'type': 'str'},
-        'model_name': {'key': 'modelName', 'type': 'str'},
-        'momentum': {'key': 'momentum', 'type': 'str'},
-        'nesterov': {'key': 'nesterov', 'type': 'str'},
-        'number_of_epochs': {'key': 'numberOfEpochs', 'type': 'str'},
-        'number_of_workers': {'key': 'numberOfWorkers', 'type': 'str'},
-        'optimizer': {'key': 'optimizer', 'type': 'str'},
-        'random_seed': {'key': 'randomSeed', 'type': 'str'},
-        'step_lr_gamma': {'key': 'stepLRGamma', 'type': 'str'},
-        'step_lr_step_size': {'key': 'stepLRStepSize', 'type': 'str'},
-        'training_batch_size': {'key': 'trainingBatchSize', 'type': 'str'},
-        'validation_batch_size': {'key': 'validationBatchSize', 'type': 'str'},
-        'warmup_cosine_lr_cycles': {'key': 'warmupCosineLRCycles', 'type': 'str'},
-        'warmup_cosine_lr_warmup_epochs': {'key': 'warmupCosineLRWarmupEpochs', 'type': 'str'},
-        'weight_decay': {'key': 'weightDecay', 'type': 'str'},
-    }
-
-    def __init__(
-            self,
-            **kwargs
-    ):
+    :code:`<example>
+    Some examples are:
+    ```
+    ModelName = "choice('seresnext', 'resnest50')";
+    LearningRate = "uniform(0.001, 0.01)";
+    LayersToFreeze = "choice(0, 2)";
+    ```</example>`
+    All distributions can be specified as distribution_name(min, max) or choice(val1, val2, ..., valn)
+    where distribution name can be: uniform, quniform, loguniform, etc
+    For more details on how to compose distribution expressions please check the documentation:
+    https://docs.microsoft.com/en-us/azure/machine-learning/how-to-tune-hyperparameters
+    For more information on the available settings please visit the official documentation:
+    https://docs.microsoft.com/en-us/azure/machine-learning/how-to-auto-train-image-models.
+
+        :ivar ams_gradient: Enable AMSGrad when optimizer is 'adam' or 'adamw'.
+        :vartype ams_gradient: str
+        :ivar augmentations: Settings for using Augmentations.
+        :vartype augmentations: str
+        :ivar beta1: Value of 'beta1' when optimizer is 'adam' or 'adamw'. Must be a float in the range
+         [0, 1].
+        :vartype beta1: str
+        :ivar beta2: Value of 'beta2' when optimizer is 'adam' or 'adamw'. Must be a float in the range
+         [0, 1].
+        :vartype beta2: str
+        :ivar distributed: Whether to use distributer training.
+        :vartype distributed: str
+        :ivar early_stopping: Enable early stopping logic during training.
+        :vartype early_stopping: str
+        :ivar early_stopping_delay: Minimum number of epochs or validation evaluations to wait before
+         primary metric improvement
+         is tracked for early stopping. Must be a positive integer.
+        :vartype early_stopping_delay: str
+        :ivar early_stopping_patience: Minimum number of epochs or validation evaluations with no
+         primary metric improvement before
+         the run is stopped. Must be a positive integer.
+        :vartype early_stopping_patience: str
+        :ivar enable_onnx_normalization: Enable normalization when exporting ONNX model.
+        :vartype enable_onnx_normalization: str
+        :ivar evaluation_frequency: Frequency to evaluate validation dataset to get metric scores. Must
+         be a positive integer.
+        :vartype evaluation_frequency: str
+        :ivar gradient_accumulation_step: Gradient accumulation means running a configured number of
+         "GradAccumulationStep" steps without
+         updating the model weights while accumulating the gradients of those steps, and then using
+         the accumulated gradients to compute the weight updates. Must be a positive integer.
+        :vartype gradient_accumulation_step: str
+        :ivar layers_to_freeze: Number of layers to freeze for the model. Must be a positive integer.
+         For instance, passing 2 as value for 'seresnext' means
+         freezing layer0 and layer1. For a full list of models supported and details on layer freeze,
+         please
+         see: https://docs.microsoft.com/en-us/azure/machine-learning/how-to-auto-train-image-models.
+        :vartype layers_to_freeze: str
+        :ivar learning_rate: Initial learning rate. Must be a float in the range [0, 1].
+        :vartype learning_rate: str
+        :ivar learning_rate_scheduler: Type of learning rate scheduler. Must be 'warmup_cosine' or
+         'step'.
+        :vartype learning_rate_scheduler: str
+        :ivar model_name: Name of the model to use for training.
+         For more information on the available models please visit the official documentation:
+         https://docs.microsoft.com/en-us/azure/machine-learning/how-to-auto-train-image-models.
+        :vartype model_name: str
+        :ivar momentum: Value of momentum when optimizer is 'sgd'. Must be a float in the range [0, 1].
+        :vartype momentum: str
+        :ivar nesterov: Enable nesterov when optimizer is 'sgd'.
+        :vartype nesterov: str
+        :ivar number_of_epochs: Number of training epochs. Must be a positive integer.
+        :vartype number_of_epochs: str
+        :ivar number_of_workers: Number of data loader workers. Must be a non-negative integer.
+        :vartype number_of_workers: str
+        :ivar optimizer: Type of optimizer. Must be either 'sgd', 'adam', or 'adamw'.
+        :vartype optimizer: str
+        :ivar random_seed: Random seed to be used when using deterministic training.
+        :vartype random_seed: str
+        :ivar step_lr_gamma: Value of gamma when learning rate scheduler is 'step'. Must be a float in
+         the range [0, 1].
+        :vartype step_lr_gamma: str
+        :ivar step_lr_step_size: Value of step size when learning rate scheduler is 'step'. Must be a
+         positive integer.
+        :vartype step_lr_step_size: str
+        :ivar training_batch_size: Training batch size. Must be a positive integer.
+        :vartype training_batch_size: str
+        :ivar validation_batch_size: Validation batch size. Must be a positive integer.
+        :vartype validation_batch_size: str
+        :ivar warmup_cosine_lr_cycles: Value of cosine cycle when learning rate scheduler is
+         'warmup_cosine'. Must be a float in the range [0, 1].
+        :vartype warmup_cosine_lr_cycles: str
+        :ivar warmup_cosine_lr_warmup_epochs: Value of warmup epochs when learning rate scheduler is
+         'warmup_cosine'. Must be a positive integer.
+        :vartype warmup_cosine_lr_warmup_epochs: str
+        :ivar weight_decay: Value of weight decay when optimizer is 'sgd', 'adam', or 'adamw'. Must be
+         a float in the range[0, 1].
+        :vartype weight_decay: str
+    """
+
+    _attribute_map = {
+        "ams_gradient": {"key": "amsGradient", "type": "str"},
+        "augmentations": {"key": "augmentations", "type": "str"},
+        "beta1": {"key": "beta1", "type": "str"},
+        "beta2": {"key": "beta2", "type": "str"},
+        "distributed": {"key": "distributed", "type": "str"},
+        "early_stopping": {"key": "earlyStopping", "type": "str"},
+        "early_stopping_delay": {"key": "earlyStoppingDelay", "type": "str"},
+        "early_stopping_patience": {"key": "earlyStoppingPatience", "type": "str"},
+        "enable_onnx_normalization": {"key": "enableOnnxNormalization", "type": "str"},
+        "evaluation_frequency": {"key": "evaluationFrequency", "type": "str"},
+        "gradient_accumulation_step": {"key": "gradientAccumulationStep", "type": "str"},
+        "layers_to_freeze": {"key": "layersToFreeze", "type": "str"},
+        "learning_rate": {"key": "learningRate", "type": "str"},
+        "learning_rate_scheduler": {"key": "learningRateScheduler", "type": "str"},
+        "model_name": {"key": "modelName", "type": "str"},
+        "momentum": {"key": "momentum", "type": "str"},
+        "nesterov": {"key": "nesterov", "type": "str"},
+        "number_of_epochs": {"key": "numberOfEpochs", "type": "str"},
+        "number_of_workers": {"key": "numberOfWorkers", "type": "str"},
+        "optimizer": {"key": "optimizer", "type": "str"},
+        "random_seed": {"key": "randomSeed", "type": "str"},
+        "step_lr_gamma": {"key": "stepLRGamma", "type": "str"},
+        "step_lr_step_size": {"key": "stepLRStepSize", "type": "str"},
+        "training_batch_size": {"key": "trainingBatchSize", "type": "str"},
+        "validation_batch_size": {"key": "validationBatchSize", "type": "str"},
+        "warmup_cosine_lr_cycles": {"key": "warmupCosineLRCycles", "type": "str"},
+        "warmup_cosine_lr_warmup_epochs": {"key": "warmupCosineLRWarmupEpochs", "type": "str"},
+        "weight_decay": {"key": "weightDecay", "type": "str"},
+    }
+
+    def __init__(self, **kwargs):
         """
         :keyword ams_gradient: Enable AMSGrad when optimizer is 'adam' or 'adamw'.
         :paramtype ams_gradient: str
@@ -17282,183 +16323,180 @@ def __init__(
         :paramtype weight_decay: str
         """
         super(ImageModelDistributionSettings, self).__init__(**kwargs)
-        self.ams_gradient = kwargs.get('ams_gradient', None)
-        self.augmentations = kwargs.get('augmentations', None)
-        self.beta1 = kwargs.get('beta1', None)
-        self.beta2 = kwargs.get('beta2', None)
-        self.distributed = kwargs.get('distributed', None)
-        self.early_stopping = kwargs.get('early_stopping', None)
-        self.early_stopping_delay = kwargs.get('early_stopping_delay', None)
-        self.early_stopping_patience = kwargs.get('early_stopping_patience', None)
-        self.enable_onnx_normalization = kwargs.get('enable_onnx_normalization', None)
-        self.evaluation_frequency = kwargs.get('evaluation_frequency', None)
-        self.gradient_accumulation_step = kwargs.get('gradient_accumulation_step', None)
-        self.layers_to_freeze = kwargs.get('layers_to_freeze', None)
-        self.learning_rate = kwargs.get('learning_rate', None)
-        self.learning_rate_scheduler = kwargs.get('learning_rate_scheduler', None)
-        self.model_name = kwargs.get('model_name', None)
-        self.momentum = kwargs.get('momentum', None)
-        self.nesterov = kwargs.get('nesterov', None)
-        self.number_of_epochs = kwargs.get('number_of_epochs', None)
-        self.number_of_workers = kwargs.get('number_of_workers', None)
-        self.optimizer = kwargs.get('optimizer', None)
-        self.random_seed = kwargs.get('random_seed', None)
-        self.step_lr_gamma = kwargs.get('step_lr_gamma', None)
-        self.step_lr_step_size = kwargs.get('step_lr_step_size', None)
-        self.training_batch_size = kwargs.get('training_batch_size', None)
-        self.validation_batch_size = kwargs.get('validation_batch_size', None)
-        self.warmup_cosine_lr_cycles = kwargs.get('warmup_cosine_lr_cycles', None)
-        self.warmup_cosine_lr_warmup_epochs = kwargs.get('warmup_cosine_lr_warmup_epochs', None)
-        self.weight_decay = kwargs.get('weight_decay', None)
+        self.ams_gradient = kwargs.get("ams_gradient", None)
+        self.augmentations = kwargs.get("augmentations", None)
+        self.beta1 = kwargs.get("beta1", None)
+        self.beta2 = kwargs.get("beta2", None)
+        self.distributed = kwargs.get("distributed", None)
+        self.early_stopping = kwargs.get("early_stopping", None)
+        self.early_stopping_delay = kwargs.get("early_stopping_delay", None)
+        self.early_stopping_patience = kwargs.get("early_stopping_patience", None)
+        self.enable_onnx_normalization = kwargs.get("enable_onnx_normalization", None)
+        self.evaluation_frequency = kwargs.get("evaluation_frequency", None)
+        self.gradient_accumulation_step = kwargs.get("gradient_accumulation_step", None)
+        self.layers_to_freeze = kwargs.get("layers_to_freeze", None)
+        self.learning_rate = kwargs.get("learning_rate", None)
+        self.learning_rate_scheduler = kwargs.get("learning_rate_scheduler", None)
+        self.model_name = kwargs.get("model_name", None)
+        self.momentum = kwargs.get("momentum", None)
+        self.nesterov = kwargs.get("nesterov", None)
+        self.number_of_epochs = kwargs.get("number_of_epochs", None)
+        self.number_of_workers = kwargs.get("number_of_workers", None)
+        self.optimizer = kwargs.get("optimizer", None)
+        self.random_seed = kwargs.get("random_seed", None)
+        self.step_lr_gamma = kwargs.get("step_lr_gamma", None)
+        self.step_lr_step_size = kwargs.get("step_lr_step_size", None)
+        self.training_batch_size = kwargs.get("training_batch_size", None)
+        self.validation_batch_size = kwargs.get("validation_batch_size", None)
+        self.warmup_cosine_lr_cycles = kwargs.get("warmup_cosine_lr_cycles", None)
+        self.warmup_cosine_lr_warmup_epochs = kwargs.get("warmup_cosine_lr_warmup_epochs", None)
+        self.weight_decay = kwargs.get("weight_decay", None)
 
 
 class ImageModelDistributionSettingsClassification(ImageModelDistributionSettings):
     """Distribution expressions to sweep over values of model settings.
 
-:code:`<example>
-Some examples are:
-```
-ModelName = "choice('seresnext', 'resnest50')";
-LearningRate = "uniform(0.001, 0.01)";
-LayersToFreeze = "choice(0, 2)";
-```</example>`
-For more details on how to compose distribution expressions please check the documentation:
-https://docs.microsoft.com/en-us/azure/machine-learning/how-to-tune-hyperparameters
-For more information on the available settings please visit the official documentation:
-https://docs.microsoft.com/en-us/azure/machine-learning/how-to-auto-train-image-models.
-
-    :ivar ams_gradient: Enable AMSGrad when optimizer is 'adam' or 'adamw'.
-    :vartype ams_gradient: str
-    :ivar augmentations: Settings for using Augmentations.
-    :vartype augmentations: str
-    :ivar beta1: Value of 'beta1' when optimizer is 'adam' or 'adamw'. Must be a float in the range
-     [0, 1].
-    :vartype beta1: str
-    :ivar beta2: Value of 'beta2' when optimizer is 'adam' or 'adamw'. Must be a float in the range
-     [0, 1].
-    :vartype beta2: str
-    :ivar distributed: Whether to use distributer training.
-    :vartype distributed: str
-    :ivar early_stopping: Enable early stopping logic during training.
-    :vartype early_stopping: str
-    :ivar early_stopping_delay: Minimum number of epochs or validation evaluations to wait before
-     primary metric improvement
-     is tracked for early stopping. Must be a positive integer.
-    :vartype early_stopping_delay: str
-    :ivar early_stopping_patience: Minimum number of epochs or validation evaluations with no
-     primary metric improvement before
-     the run is stopped. Must be a positive integer.
-    :vartype early_stopping_patience: str
-    :ivar enable_onnx_normalization: Enable normalization when exporting ONNX model.
-    :vartype enable_onnx_normalization: str
-    :ivar evaluation_frequency: Frequency to evaluate validation dataset to get metric scores. Must
-     be a positive integer.
-    :vartype evaluation_frequency: str
-    :ivar gradient_accumulation_step: Gradient accumulation means running a configured number of
-     "GradAccumulationStep" steps without
-     updating the model weights while accumulating the gradients of those steps, and then using
-     the accumulated gradients to compute the weight updates. Must be a positive integer.
-    :vartype gradient_accumulation_step: str
-    :ivar layers_to_freeze: Number of layers to freeze for the model. Must be a positive integer.
-     For instance, passing 2 as value for 'seresnext' means
-     freezing layer0 and layer1. For a full list of models supported and details on layer freeze,
-     please
-     see: https://docs.microsoft.com/en-us/azure/machine-learning/how-to-auto-train-image-models.
-    :vartype layers_to_freeze: str
-    :ivar learning_rate: Initial learning rate. Must be a float in the range [0, 1].
-    :vartype learning_rate: str
-    :ivar learning_rate_scheduler: Type of learning rate scheduler. Must be 'warmup_cosine' or
-     'step'.
-    :vartype learning_rate_scheduler: str
-    :ivar model_name: Name of the model to use for training.
-     For more information on the available models please visit the official documentation:
-     https://docs.microsoft.com/en-us/azure/machine-learning/how-to-auto-train-image-models.
-    :vartype model_name: str
-    :ivar momentum: Value of momentum when optimizer is 'sgd'. Must be a float in the range [0, 1].
-    :vartype momentum: str
-    :ivar nesterov: Enable nesterov when optimizer is 'sgd'.
-    :vartype nesterov: str
-    :ivar number_of_epochs: Number of training epochs. Must be a positive integer.
-    :vartype number_of_epochs: str
-    :ivar number_of_workers: Number of data loader workers. Must be a non-negative integer.
-    :vartype number_of_workers: str
-    :ivar optimizer: Type of optimizer. Must be either 'sgd', 'adam', or 'adamw'.
-    :vartype optimizer: str
-    :ivar random_seed: Random seed to be used when using deterministic training.
-    :vartype random_seed: str
-    :ivar step_lr_gamma: Value of gamma when learning rate scheduler is 'step'. Must be a float in
-     the range [0, 1].
-    :vartype step_lr_gamma: str
-    :ivar step_lr_step_size: Value of step size when learning rate scheduler is 'step'. Must be a
-     positive integer.
-    :vartype step_lr_step_size: str
-    :ivar training_batch_size: Training batch size. Must be a positive integer.
-    :vartype training_batch_size: str
-    :ivar validation_batch_size: Validation batch size. Must be a positive integer.
-    :vartype validation_batch_size: str
-    :ivar warmup_cosine_lr_cycles: Value of cosine cycle when learning rate scheduler is
-     'warmup_cosine'. Must be a float in the range [0, 1].
-    :vartype warmup_cosine_lr_cycles: str
-    :ivar warmup_cosine_lr_warmup_epochs: Value of warmup epochs when learning rate scheduler is
-     'warmup_cosine'. Must be a positive integer.
-    :vartype warmup_cosine_lr_warmup_epochs: str
-    :ivar weight_decay: Value of weight decay when optimizer is 'sgd', 'adam', or 'adamw'. Must be
-     a float in the range[0, 1].
-    :vartype weight_decay: str
-    :ivar training_crop_size: Image crop size that is input to the neural network for the training
-     dataset. Must be a positive integer.
-    :vartype training_crop_size: str
-    :ivar validation_crop_size: Image crop size that is input to the neural network for the
-     validation dataset. Must be a positive integer.
-    :vartype validation_crop_size: str
-    :ivar validation_resize_size: Image size to which to resize before cropping for validation
-     dataset. Must be a positive integer.
-    :vartype validation_resize_size: str
-    :ivar weighted_loss: Weighted loss. The accepted values are 0 for no weighted loss.
-     1 for weighted loss with sqrt.(class_weights). 2 for weighted loss with class_weights. Must be
-     0 or 1 or 2.
-    :vartype weighted_loss: str
-    """
-
-    _attribute_map = {
-        'ams_gradient': {'key': 'amsGradient', 'type': 'str'},
-        'augmentations': {'key': 'augmentations', 'type': 'str'},
-        'beta1': {'key': 'beta1', 'type': 'str'},
-        'beta2': {'key': 'beta2', 'type': 'str'},
-        'distributed': {'key': 'distributed', 'type': 'str'},
-        'early_stopping': {'key': 'earlyStopping', 'type': 'str'},
-        'early_stopping_delay': {'key': 'earlyStoppingDelay', 'type': 'str'},
-        'early_stopping_patience': {'key': 'earlyStoppingPatience', 'type': 'str'},
-        'enable_onnx_normalization': {'key': 'enableOnnxNormalization', 'type': 'str'},
-        'evaluation_frequency': {'key': 'evaluationFrequency', 'type': 'str'},
-        'gradient_accumulation_step': {'key': 'gradientAccumulationStep', 'type': 'str'},
-        'layers_to_freeze': {'key': 'layersToFreeze', 'type': 'str'},
-        'learning_rate': {'key': 'learningRate', 'type': 'str'},
-        'learning_rate_scheduler': {'key': 'learningRateScheduler', 'type': 'str'},
-        'model_name': {'key': 'modelName', 'type': 'str'},
-        'momentum': {'key': 'momentum', 'type': 'str'},
-        'nesterov': {'key': 'nesterov', 'type': 'str'},
-        'number_of_epochs': {'key': 'numberOfEpochs', 'type': 'str'},
-        'number_of_workers': {'key': 'numberOfWorkers', 'type': 'str'},
-        'optimizer': {'key': 'optimizer', 'type': 'str'},
-        'random_seed': {'key': 'randomSeed', 'type': 'str'},
-        'step_lr_gamma': {'key': 'stepLRGamma', 'type': 'str'},
-        'step_lr_step_size': {'key': 'stepLRStepSize', 'type': 'str'},
-        'training_batch_size': {'key': 'trainingBatchSize', 'type': 'str'},
-        'validation_batch_size': {'key': 'validationBatchSize', 'type': 'str'},
-        'warmup_cosine_lr_cycles': {'key': 'warmupCosineLRCycles', 'type': 'str'},
-        'warmup_cosine_lr_warmup_epochs': {'key': 'warmupCosineLRWarmupEpochs', 'type': 'str'},
-        'weight_decay': {'key': 'weightDecay', 'type': 'str'},
-        'training_crop_size': {'key': 'trainingCropSize', 'type': 'str'},
-        'validation_crop_size': {'key': 'validationCropSize', 'type': 'str'},
-        'validation_resize_size': {'key': 'validationResizeSize', 'type': 'str'},
-        'weighted_loss': {'key': 'weightedLoss', 'type': 'str'},
-    }
-
-    def __init__(
-            self,
-            **kwargs
-    ):
+    :code:`<example>
+    Some examples are:
+    ```
+    ModelName = "choice('seresnext', 'resnest50')";
+    LearningRate = "uniform(0.001, 0.01)";
+    LayersToFreeze = "choice(0, 2)";
+    ```</example>`
+    For more details on how to compose distribution expressions please check the documentation:
+    https://docs.microsoft.com/en-us/azure/machine-learning/how-to-tune-hyperparameters
+    For more information on the available settings please visit the official documentation:
+    https://docs.microsoft.com/en-us/azure/machine-learning/how-to-auto-train-image-models.
+
+        :ivar ams_gradient: Enable AMSGrad when optimizer is 'adam' or 'adamw'.
+        :vartype ams_gradient: str
+        :ivar augmentations: Settings for using Augmentations.
+        :vartype augmentations: str
+        :ivar beta1: Value of 'beta1' when optimizer is 'adam' or 'adamw'. Must be a float in the range
+         [0, 1].
+        :vartype beta1: str
+        :ivar beta2: Value of 'beta2' when optimizer is 'adam' or 'adamw'. Must be a float in the range
+         [0, 1].
+        :vartype beta2: str
+        :ivar distributed: Whether to use distributer training.
+        :vartype distributed: str
+        :ivar early_stopping: Enable early stopping logic during training.
+        :vartype early_stopping: str
+        :ivar early_stopping_delay: Minimum number of epochs or validation evaluations to wait before
+         primary metric improvement
+         is tracked for early stopping. Must be a positive integer.
+        :vartype early_stopping_delay: str
+        :ivar early_stopping_patience: Minimum number of epochs or validation evaluations with no
+         primary metric improvement before
+         the run is stopped. Must be a positive integer.
+        :vartype early_stopping_patience: str
+        :ivar enable_onnx_normalization: Enable normalization when exporting ONNX model.
+        :vartype enable_onnx_normalization: str
+        :ivar evaluation_frequency: Frequency to evaluate validation dataset to get metric scores. Must
+         be a positive integer.
+        :vartype evaluation_frequency: str
+        :ivar gradient_accumulation_step: Gradient accumulation means running a configured number of
+         "GradAccumulationStep" steps without
+         updating the model weights while accumulating the gradients of those steps, and then using
+         the accumulated gradients to compute the weight updates. Must be a positive integer.
+        :vartype gradient_accumulation_step: str
+        :ivar layers_to_freeze: Number of layers to freeze for the model. Must be a positive integer.
+         For instance, passing 2 as value for 'seresnext' means
+         freezing layer0 and layer1. For a full list of models supported and details on layer freeze,
+         please
+         see: https://docs.microsoft.com/en-us/azure/machine-learning/how-to-auto-train-image-models.
+        :vartype layers_to_freeze: str
+        :ivar learning_rate: Initial learning rate. Must be a float in the range [0, 1].
+        :vartype learning_rate: str
+        :ivar learning_rate_scheduler: Type of learning rate scheduler. Must be 'warmup_cosine' or
+         'step'.
+        :vartype learning_rate_scheduler: str
+        :ivar model_name: Name of the model to use for training.
+         For more information on the available models please visit the official documentation:
+         https://docs.microsoft.com/en-us/azure/machine-learning/how-to-auto-train-image-models.
+        :vartype model_name: str
+        :ivar momentum: Value of momentum when optimizer is 'sgd'. Must be a float in the range [0, 1].
+        :vartype momentum: str
+        :ivar nesterov: Enable nesterov when optimizer is 'sgd'.
+        :vartype nesterov: str
+        :ivar number_of_epochs: Number of training epochs. Must be a positive integer.
+        :vartype number_of_epochs: str
+        :ivar number_of_workers: Number of data loader workers. Must be a non-negative integer.
+        :vartype number_of_workers: str
+        :ivar optimizer: Type of optimizer. Must be either 'sgd', 'adam', or 'adamw'.
+        :vartype optimizer: str
+        :ivar random_seed: Random seed to be used when using deterministic training.
+        :vartype random_seed: str
+        :ivar step_lr_gamma: Value of gamma when learning rate scheduler is 'step'. Must be a float in
+         the range [0, 1].
+        :vartype step_lr_gamma: str
+        :ivar step_lr_step_size: Value of step size when learning rate scheduler is 'step'. Must be a
+         positive integer.
+        :vartype step_lr_step_size: str
+        :ivar training_batch_size: Training batch size. Must be a positive integer.
+        :vartype training_batch_size: str
+        :ivar validation_batch_size: Validation batch size. Must be a positive integer.
+        :vartype validation_batch_size: str
+        :ivar warmup_cosine_lr_cycles: Value of cosine cycle when learning rate scheduler is
+         'warmup_cosine'. Must be a float in the range [0, 1].
+        :vartype warmup_cosine_lr_cycles: str
+        :ivar warmup_cosine_lr_warmup_epochs: Value of warmup epochs when learning rate scheduler is
+         'warmup_cosine'. Must be a positive integer.
+        :vartype warmup_cosine_lr_warmup_epochs: str
+        :ivar weight_decay: Value of weight decay when optimizer is 'sgd', 'adam', or 'adamw'. Must be
+         a float in the range[0, 1].
+        :vartype weight_decay: str
+        :ivar training_crop_size: Image crop size that is input to the neural network for the training
+         dataset. Must be a positive integer.
+        :vartype training_crop_size: str
+        :ivar validation_crop_size: Image crop size that is input to the neural network for the
+         validation dataset. Must be a positive integer.
+        :vartype validation_crop_size: str
+        :ivar validation_resize_size: Image size to which to resize before cropping for validation
+         dataset. Must be a positive integer.
+        :vartype validation_resize_size: str
+        :ivar weighted_loss: Weighted loss. The accepted values are 0 for no weighted loss.
+         1 for weighted loss with sqrt.(class_weights). 2 for weighted loss with class_weights. Must be
+         0 or 1 or 2.
+        :vartype weighted_loss: str
+    """
+
+    _attribute_map = {
+        "ams_gradient": {"key": "amsGradient", "type": "str"},
+        "augmentations": {"key": "augmentations", "type": "str"},
+        "beta1": {"key": "beta1", "type": "str"},
+        "beta2": {"key": "beta2", "type": "str"},
+        "distributed": {"key": "distributed", "type": "str"},
+        "early_stopping": {"key": "earlyStopping", "type": "str"},
+        "early_stopping_delay": {"key": "earlyStoppingDelay", "type": "str"},
+        "early_stopping_patience": {"key": "earlyStoppingPatience", "type": "str"},
+        "enable_onnx_normalization": {"key": "enableOnnxNormalization", "type": "str"},
+        "evaluation_frequency": {"key": "evaluationFrequency", "type": "str"},
+        "gradient_accumulation_step": {"key": "gradientAccumulationStep", "type": "str"},
+        "layers_to_freeze": {"key": "layersToFreeze", "type": "str"},
+        "learning_rate": {"key": "learningRate", "type": "str"},
+        "learning_rate_scheduler": {"key": "learningRateScheduler", "type": "str"},
+        "model_name": {"key": "modelName", "type": "str"},
+        "momentum": {"key": "momentum", "type": "str"},
+        "nesterov": {"key": "nesterov", "type": "str"},
+        "number_of_epochs": {"key": "numberOfEpochs", "type": "str"},
+        "number_of_workers": {"key": "numberOfWorkers", "type": "str"},
+        "optimizer": {"key": "optimizer", "type": "str"},
+        "random_seed": {"key": "randomSeed", "type": "str"},
+        "step_lr_gamma": {"key": "stepLRGamma", "type": "str"},
+        "step_lr_step_size": {"key": "stepLRStepSize", "type": "str"},
+        "training_batch_size": {"key": "trainingBatchSize", "type": "str"},
+        "validation_batch_size": {"key": "validationBatchSize", "type": "str"},
+        "warmup_cosine_lr_cycles": {"key": "warmupCosineLRCycles", "type": "str"},
+        "warmup_cosine_lr_warmup_epochs": {"key": "warmupCosineLRWarmupEpochs", "type": "str"},
+        "weight_decay": {"key": "weightDecay", "type": "str"},
+        "training_crop_size": {"key": "trainingCropSize", "type": "str"},
+        "validation_crop_size": {"key": "validationCropSize", "type": "str"},
+        "validation_resize_size": {"key": "validationResizeSize", "type": "str"},
+        "weighted_loss": {"key": "weightedLoss", "type": "str"},
+    }
+
+    def __init__(self, **kwargs):
         """
         :keyword ams_gradient: Enable AMSGrad when optimizer is 'adam' or 'adamw'.
         :paramtype ams_gradient: str
@@ -17555,207 +16593,204 @@ def __init__(
         :paramtype weighted_loss: str
         """
         super(ImageModelDistributionSettingsClassification, self).__init__(**kwargs)
-        self.training_crop_size = kwargs.get('training_crop_size', None)
-        self.validation_crop_size = kwargs.get('validation_crop_size', None)
-        self.validation_resize_size = kwargs.get('validation_resize_size', None)
-        self.weighted_loss = kwargs.get('weighted_loss', None)
+        self.training_crop_size = kwargs.get("training_crop_size", None)
+        self.validation_crop_size = kwargs.get("validation_crop_size", None)
+        self.validation_resize_size = kwargs.get("validation_resize_size", None)
+        self.weighted_loss = kwargs.get("weighted_loss", None)
 
 
 class ImageModelDistributionSettingsObjectDetection(ImageModelDistributionSettings):
     """Distribution expressions to sweep over values of model settings.
 
-:code:`<example>
-Some examples are:
-```
-ModelName = "choice('seresnext', 'resnest50')";
-LearningRate = "uniform(0.001, 0.01)";
-LayersToFreeze = "choice(0, 2)";
-```</example>`
-For more details on how to compose distribution expressions please check the documentation:
-https://docs.microsoft.com/en-us/azure/machine-learning/how-to-tune-hyperparameters
-For more information on the available settings please visit the official documentation:
-https://docs.microsoft.com/en-us/azure/machine-learning/how-to-auto-train-image-models.
-
-    :ivar ams_gradient: Enable AMSGrad when optimizer is 'adam' or 'adamw'.
-    :vartype ams_gradient: str
-    :ivar augmentations: Settings for using Augmentations.
-    :vartype augmentations: str
-    :ivar beta1: Value of 'beta1' when optimizer is 'adam' or 'adamw'. Must be a float in the range
-     [0, 1].
-    :vartype beta1: str
-    :ivar beta2: Value of 'beta2' when optimizer is 'adam' or 'adamw'. Must be a float in the range
-     [0, 1].
-    :vartype beta2: str
-    :ivar distributed: Whether to use distributer training.
-    :vartype distributed: str
-    :ivar early_stopping: Enable early stopping logic during training.
-    :vartype early_stopping: str
-    :ivar early_stopping_delay: Minimum number of epochs or validation evaluations to wait before
-     primary metric improvement
-     is tracked for early stopping. Must be a positive integer.
-    :vartype early_stopping_delay: str
-    :ivar early_stopping_patience: Minimum number of epochs or validation evaluations with no
-     primary metric improvement before
-     the run is stopped. Must be a positive integer.
-    :vartype early_stopping_patience: str
-    :ivar enable_onnx_normalization: Enable normalization when exporting ONNX model.
-    :vartype enable_onnx_normalization: str
-    :ivar evaluation_frequency: Frequency to evaluate validation dataset to get metric scores. Must
-     be a positive integer.
-    :vartype evaluation_frequency: str
-    :ivar gradient_accumulation_step: Gradient accumulation means running a configured number of
-     "GradAccumulationStep" steps without
-     updating the model weights while accumulating the gradients of those steps, and then using
-     the accumulated gradients to compute the weight updates. Must be a positive integer.
-    :vartype gradient_accumulation_step: str
-    :ivar layers_to_freeze: Number of layers to freeze for the model. Must be a positive integer.
-     For instance, passing 2 as value for 'seresnext' means
-     freezing layer0 and layer1. For a full list of models supported and details on layer freeze,
-     please
-     see: https://docs.microsoft.com/en-us/azure/machine-learning/how-to-auto-train-image-models.
-    :vartype layers_to_freeze: str
-    :ivar learning_rate: Initial learning rate. Must be a float in the range [0, 1].
-    :vartype learning_rate: str
-    :ivar learning_rate_scheduler: Type of learning rate scheduler. Must be 'warmup_cosine' or
-     'step'.
-    :vartype learning_rate_scheduler: str
-    :ivar model_name: Name of the model to use for training.
-     For more information on the available models please visit the official documentation:
-     https://docs.microsoft.com/en-us/azure/machine-learning/how-to-auto-train-image-models.
-    :vartype model_name: str
-    :ivar momentum: Value of momentum when optimizer is 'sgd'. Must be a float in the range [0, 1].
-    :vartype momentum: str
-    :ivar nesterov: Enable nesterov when optimizer is 'sgd'.
-    :vartype nesterov: str
-    :ivar number_of_epochs: Number of training epochs. Must be a positive integer.
-    :vartype number_of_epochs: str
-    :ivar number_of_workers: Number of data loader workers. Must be a non-negative integer.
-    :vartype number_of_workers: str
-    :ivar optimizer: Type of optimizer. Must be either 'sgd', 'adam', or 'adamw'.
-    :vartype optimizer: str
-    :ivar random_seed: Random seed to be used when using deterministic training.
-    :vartype random_seed: str
-    :ivar step_lr_gamma: Value of gamma when learning rate scheduler is 'step'. Must be a float in
-     the range [0, 1].
-    :vartype step_lr_gamma: str
-    :ivar step_lr_step_size: Value of step size when learning rate scheduler is 'step'. Must be a
-     positive integer.
-    :vartype step_lr_step_size: str
-    :ivar training_batch_size: Training batch size. Must be a positive integer.
-    :vartype training_batch_size: str
-    :ivar validation_batch_size: Validation batch size. Must be a positive integer.
-    :vartype validation_batch_size: str
-    :ivar warmup_cosine_lr_cycles: Value of cosine cycle when learning rate scheduler is
-     'warmup_cosine'. Must be a float in the range [0, 1].
-    :vartype warmup_cosine_lr_cycles: str
-    :ivar warmup_cosine_lr_warmup_epochs: Value of warmup epochs when learning rate scheduler is
-     'warmup_cosine'. Must be a positive integer.
-    :vartype warmup_cosine_lr_warmup_epochs: str
-    :ivar weight_decay: Value of weight decay when optimizer is 'sgd', 'adam', or 'adamw'. Must be
-     a float in the range[0, 1].
-    :vartype weight_decay: str
-    :ivar box_detections_per_image: Maximum number of detections per image, for all classes. Must
-     be a positive integer.
-     Note: This settings is not supported for the 'yolov5' algorithm.
-    :vartype box_detections_per_image: str
-    :ivar box_score_threshold: During inference, only return proposals with a classification score
-     greater than
-     BoxScoreThreshold. Must be a float in the range[0, 1].
-    :vartype box_score_threshold: str
-    :ivar image_size: Image size for train and validation. Must be a positive integer.
-     Note: The training run may get into CUDA OOM if the size is too big.
-     Note: This settings is only supported for the 'yolov5' algorithm.
-    :vartype image_size: str
-    :ivar max_size: Maximum size of the image to be rescaled before feeding it to the backbone.
-     Must be a positive integer. Note: training run may get into CUDA OOM if the size is too big.
-     Note: This settings is not supported for the 'yolov5' algorithm.
-    :vartype max_size: str
-    :ivar min_size: Minimum size of the image to be rescaled before feeding it to the backbone.
-     Must be a positive integer. Note: training run may get into CUDA OOM if the size is too big.
-     Note: This settings is not supported for the 'yolov5' algorithm.
-    :vartype min_size: str
-    :ivar model_size: Model size. Must be 'small', 'medium', 'large', or 'xlarge'.
-     Note: training run may get into CUDA OOM if the model size is too big.
-     Note: This settings is only supported for the 'yolov5' algorithm.
-    :vartype model_size: str
-    :ivar multi_scale: Enable multi-scale image by varying image size by +/- 50%.
-     Note: training run may get into CUDA OOM if no sufficient GPU memory.
-     Note: This settings is only supported for the 'yolov5' algorithm.
-    :vartype multi_scale: str
-    :ivar nms_iou_threshold: IOU threshold used during inference in NMS post processing. Must be
-     float in the range [0, 1].
-    :vartype nms_iou_threshold: str
-    :ivar tile_grid_size: The grid size to use for tiling each image. Note: TileGridSize must not
-     be
-     None to enable small object detection logic. A string containing two integers in mxn format.
-     Note: This settings is not supported for the 'yolov5' algorithm.
-    :vartype tile_grid_size: str
-    :ivar tile_overlap_ratio: Overlap ratio between adjacent tiles in each dimension. Must be float
-     in the range [0, 1).
-     Note: This settings is not supported for the 'yolov5' algorithm.
-    :vartype tile_overlap_ratio: str
-    :ivar tile_predictions_nms_threshold: The IOU threshold to use to perform NMS while merging
-     predictions from tiles and image.
-     Used in validation/ inference. Must be float in the range [0, 1].
-     Note: This settings is not supported for the 'yolov5' algorithm.
-     NMS: Non-maximum suppression.
-    :vartype tile_predictions_nms_threshold: str
-    :ivar validation_iou_threshold: IOU threshold to use when computing validation metric. Must be
-     float in the range [0, 1].
-    :vartype validation_iou_threshold: str
-    :ivar validation_metric_type: Metric computation method to use for validation metrics. Must be
-     'none', 'coco', 'voc', or 'coco_voc'.
-    :vartype validation_metric_type: str
-    """
-
-    _attribute_map = {
-        'ams_gradient': {'key': 'amsGradient', 'type': 'str'},
-        'augmentations': {'key': 'augmentations', 'type': 'str'},
-        'beta1': {'key': 'beta1', 'type': 'str'},
-        'beta2': {'key': 'beta2', 'type': 'str'},
-        'distributed': {'key': 'distributed', 'type': 'str'},
-        'early_stopping': {'key': 'earlyStopping', 'type': 'str'},
-        'early_stopping_delay': {'key': 'earlyStoppingDelay', 'type': 'str'},
-        'early_stopping_patience': {'key': 'earlyStoppingPatience', 'type': 'str'},
-        'enable_onnx_normalization': {'key': 'enableOnnxNormalization', 'type': 'str'},
-        'evaluation_frequency': {'key': 'evaluationFrequency', 'type': 'str'},
-        'gradient_accumulation_step': {'key': 'gradientAccumulationStep', 'type': 'str'},
-        'layers_to_freeze': {'key': 'layersToFreeze', 'type': 'str'},
-        'learning_rate': {'key': 'learningRate', 'type': 'str'},
-        'learning_rate_scheduler': {'key': 'learningRateScheduler', 'type': 'str'},
-        'model_name': {'key': 'modelName', 'type': 'str'},
-        'momentum': {'key': 'momentum', 'type': 'str'},
-        'nesterov': {'key': 'nesterov', 'type': 'str'},
-        'number_of_epochs': {'key': 'numberOfEpochs', 'type': 'str'},
-        'number_of_workers': {'key': 'numberOfWorkers', 'type': 'str'},
-        'optimizer': {'key': 'optimizer', 'type': 'str'},
-        'random_seed': {'key': 'randomSeed', 'type': 'str'},
-        'step_lr_gamma': {'key': 'stepLRGamma', 'type': 'str'},
-        'step_lr_step_size': {'key': 'stepLRStepSize', 'type': 'str'},
-        'training_batch_size': {'key': 'trainingBatchSize', 'type': 'str'},
-        'validation_batch_size': {'key': 'validationBatchSize', 'type': 'str'},
-        'warmup_cosine_lr_cycles': {'key': 'warmupCosineLRCycles', 'type': 'str'},
-        'warmup_cosine_lr_warmup_epochs': {'key': 'warmupCosineLRWarmupEpochs', 'type': 'str'},
-        'weight_decay': {'key': 'weightDecay', 'type': 'str'},
-        'box_detections_per_image': {'key': 'boxDetectionsPerImage', 'type': 'str'},
-        'box_score_threshold': {'key': 'boxScoreThreshold', 'type': 'str'},
-        'image_size': {'key': 'imageSize', 'type': 'str'},
-        'max_size': {'key': 'maxSize', 'type': 'str'},
-        'min_size': {'key': 'minSize', 'type': 'str'},
-        'model_size': {'key': 'modelSize', 'type': 'str'},
-        'multi_scale': {'key': 'multiScale', 'type': 'str'},
-        'nms_iou_threshold': {'key': 'nmsIouThreshold', 'type': 'str'},
-        'tile_grid_size': {'key': 'tileGridSize', 'type': 'str'},
-        'tile_overlap_ratio': {'key': 'tileOverlapRatio', 'type': 'str'},
-        'tile_predictions_nms_threshold': {'key': 'tilePredictionsNmsThreshold', 'type': 'str'},
-        'validation_iou_threshold': {'key': 'validationIouThreshold', 'type': 'str'},
-        'validation_metric_type': {'key': 'validationMetricType', 'type': 'str'},
-    }
-
-    def __init__(
-            self,
-            **kwargs
-    ):
+    :code:`<example>
+    Some examples are:
+    ```
+    ModelName = "choice('seresnext', 'resnest50')";
+    LearningRate = "uniform(0.001, 0.01)";
+    LayersToFreeze = "choice(0, 2)";
+    ```</example>`
+    For more details on how to compose distribution expressions please check the documentation:
+    https://docs.microsoft.com/en-us/azure/machine-learning/how-to-tune-hyperparameters
+    For more information on the available settings please visit the official documentation:
+    https://docs.microsoft.com/en-us/azure/machine-learning/how-to-auto-train-image-models.
+
+        :ivar ams_gradient: Enable AMSGrad when optimizer is 'adam' or 'adamw'.
+        :vartype ams_gradient: str
+        :ivar augmentations: Settings for using Augmentations.
+        :vartype augmentations: str
+        :ivar beta1: Value of 'beta1' when optimizer is 'adam' or 'adamw'. Must be a float in the range
+         [0, 1].
+        :vartype beta1: str
+        :ivar beta2: Value of 'beta2' when optimizer is 'adam' or 'adamw'. Must be a float in the range
+         [0, 1].
+        :vartype beta2: str
+        :ivar distributed: Whether to use distributer training.
+        :vartype distributed: str
+        :ivar early_stopping: Enable early stopping logic during training.
+        :vartype early_stopping: str
+        :ivar early_stopping_delay: Minimum number of epochs or validation evaluations to wait before
+         primary metric improvement
+         is tracked for early stopping. Must be a positive integer.
+        :vartype early_stopping_delay: str
+        :ivar early_stopping_patience: Minimum number of epochs or validation evaluations with no
+         primary metric improvement before
+         the run is stopped. Must be a positive integer.
+        :vartype early_stopping_patience: str
+        :ivar enable_onnx_normalization: Enable normalization when exporting ONNX model.
+        :vartype enable_onnx_normalization: str
+        :ivar evaluation_frequency: Frequency to evaluate validation dataset to get metric scores. Must
+         be a positive integer.
+        :vartype evaluation_frequency: str
+        :ivar gradient_accumulation_step: Gradient accumulation means running a configured number of
+         "GradAccumulationStep" steps without
+         updating the model weights while accumulating the gradients of those steps, and then using
+         the accumulated gradients to compute the weight updates. Must be a positive integer.
+        :vartype gradient_accumulation_step: str
+        :ivar layers_to_freeze: Number of layers to freeze for the model. Must be a positive integer.
+         For instance, passing 2 as value for 'seresnext' means
+         freezing layer0 and layer1. For a full list of models supported and details on layer freeze,
+         please
+         see: https://docs.microsoft.com/en-us/azure/machine-learning/how-to-auto-train-image-models.
+        :vartype layers_to_freeze: str
+        :ivar learning_rate: Initial learning rate. Must be a float in the range [0, 1].
+        :vartype learning_rate: str
+        :ivar learning_rate_scheduler: Type of learning rate scheduler. Must be 'warmup_cosine' or
+         'step'.
+        :vartype learning_rate_scheduler: str
+        :ivar model_name: Name of the model to use for training.
+         For more information on the available models please visit the official documentation:
+         https://docs.microsoft.com/en-us/azure/machine-learning/how-to-auto-train-image-models.
+        :vartype model_name: str
+        :ivar momentum: Value of momentum when optimizer is 'sgd'. Must be a float in the range [0, 1].
+        :vartype momentum: str
+        :ivar nesterov: Enable nesterov when optimizer is 'sgd'.
+        :vartype nesterov: str
+        :ivar number_of_epochs: Number of training epochs. Must be a positive integer.
+        :vartype number_of_epochs: str
+        :ivar number_of_workers: Number of data loader workers. Must be a non-negative integer.
+        :vartype number_of_workers: str
+        :ivar optimizer: Type of optimizer. Must be either 'sgd', 'adam', or 'adamw'.
+        :vartype optimizer: str
+        :ivar random_seed: Random seed to be used when using deterministic training.
+        :vartype random_seed: str
+        :ivar step_lr_gamma: Value of gamma when learning rate scheduler is 'step'. Must be a float in
+         the range [0, 1].
+        :vartype step_lr_gamma: str
+        :ivar step_lr_step_size: Value of step size when learning rate scheduler is 'step'. Must be a
+         positive integer.
+        :vartype step_lr_step_size: str
+        :ivar training_batch_size: Training batch size. Must be a positive integer.
+        :vartype training_batch_size: str
+        :ivar validation_batch_size: Validation batch size. Must be a positive integer.
+        :vartype validation_batch_size: str
+        :ivar warmup_cosine_lr_cycles: Value of cosine cycle when learning rate scheduler is
+         'warmup_cosine'. Must be a float in the range [0, 1].
+        :vartype warmup_cosine_lr_cycles: str
+        :ivar warmup_cosine_lr_warmup_epochs: Value of warmup epochs when learning rate scheduler is
+         'warmup_cosine'. Must be a positive integer.
+        :vartype warmup_cosine_lr_warmup_epochs: str
+        :ivar weight_decay: Value of weight decay when optimizer is 'sgd', 'adam', or 'adamw'. Must be
+         a float in the range[0, 1].
+        :vartype weight_decay: str
+        :ivar box_detections_per_image: Maximum number of detections per image, for all classes. Must
+         be a positive integer.
+         Note: This settings is not supported for the 'yolov5' algorithm.
+        :vartype box_detections_per_image: str
+        :ivar box_score_threshold: During inference, only return proposals with a classification score
+         greater than
+         BoxScoreThreshold. Must be a float in the range[0, 1].
+        :vartype box_score_threshold: str
+        :ivar image_size: Image size for train and validation. Must be a positive integer.
+         Note: The training run may get into CUDA OOM if the size is too big.
+         Note: This settings is only supported for the 'yolov5' algorithm.
+        :vartype image_size: str
+        :ivar max_size: Maximum size of the image to be rescaled before feeding it to the backbone.
+         Must be a positive integer. Note: training run may get into CUDA OOM if the size is too big.
+         Note: This settings is not supported for the 'yolov5' algorithm.
+        :vartype max_size: str
+        :ivar min_size: Minimum size of the image to be rescaled before feeding it to the backbone.
+         Must be a positive integer. Note: training run may get into CUDA OOM if the size is too big.
+         Note: This settings is not supported for the 'yolov5' algorithm.
+        :vartype min_size: str
+        :ivar model_size: Model size. Must be 'small', 'medium', 'large', or 'xlarge'.
+         Note: training run may get into CUDA OOM if the model size is too big.
+         Note: This settings is only supported for the 'yolov5' algorithm.
+        :vartype model_size: str
+        :ivar multi_scale: Enable multi-scale image by varying image size by +/- 50%.
+         Note: training run may get into CUDA OOM if no sufficient GPU memory.
+         Note: This settings is only supported for the 'yolov5' algorithm.
+        :vartype multi_scale: str
+        :ivar nms_iou_threshold: IOU threshold used during inference in NMS post processing. Must be
+         float in the range [0, 1].
+        :vartype nms_iou_threshold: str
+        :ivar tile_grid_size: The grid size to use for tiling each image. Note: TileGridSize must not
+         be
+         None to enable small object detection logic. A string containing two integers in mxn format.
+         Note: This settings is not supported for the 'yolov5' algorithm.
+        :vartype tile_grid_size: str
+        :ivar tile_overlap_ratio: Overlap ratio between adjacent tiles in each dimension. Must be float
+         in the range [0, 1).
+         Note: This settings is not supported for the 'yolov5' algorithm.
+        :vartype tile_overlap_ratio: str
+        :ivar tile_predictions_nms_threshold: The IOU threshold to use to perform NMS while merging
+         predictions from tiles and image.
+         Used in validation/ inference. Must be float in the range [0, 1].
+         Note: This settings is not supported for the 'yolov5' algorithm.
+         NMS: Non-maximum suppression.
+        :vartype tile_predictions_nms_threshold: str
+        :ivar validation_iou_threshold: IOU threshold to use when computing validation metric. Must be
+         float in the range [0, 1].
+        :vartype validation_iou_threshold: str
+        :ivar validation_metric_type: Metric computation method to use for validation metrics. Must be
+         'none', 'coco', 'voc', or 'coco_voc'.
+        :vartype validation_metric_type: str
+    """
+
+    _attribute_map = {
+        "ams_gradient": {"key": "amsGradient", "type": "str"},
+        "augmentations": {"key": "augmentations", "type": "str"},
+        "beta1": {"key": "beta1", "type": "str"},
+        "beta2": {"key": "beta2", "type": "str"},
+        "distributed": {"key": "distributed", "type": "str"},
+        "early_stopping": {"key": "earlyStopping", "type": "str"},
+        "early_stopping_delay": {"key": "earlyStoppingDelay", "type": "str"},
+        "early_stopping_patience": {"key": "earlyStoppingPatience", "type": "str"},
+        "enable_onnx_normalization": {"key": "enableOnnxNormalization", "type": "str"},
+        "evaluation_frequency": {"key": "evaluationFrequency", "type": "str"},
+        "gradient_accumulation_step": {"key": "gradientAccumulationStep", "type": "str"},
+        "layers_to_freeze": {"key": "layersToFreeze", "type": "str"},
+        "learning_rate": {"key": "learningRate", "type": "str"},
+        "learning_rate_scheduler": {"key": "learningRateScheduler", "type": "str"},
+        "model_name": {"key": "modelName", "type": "str"},
+        "momentum": {"key": "momentum", "type": "str"},
+        "nesterov": {"key": "nesterov", "type": "str"},
+        "number_of_epochs": {"key": "numberOfEpochs", "type": "str"},
+        "number_of_workers": {"key": "numberOfWorkers", "type": "str"},
+        "optimizer": {"key": "optimizer", "type": "str"},
+        "random_seed": {"key": "randomSeed", "type": "str"},
+        "step_lr_gamma": {"key": "stepLRGamma", "type": "str"},
+        "step_lr_step_size": {"key": "stepLRStepSize", "type": "str"},
+        "training_batch_size": {"key": "trainingBatchSize", "type": "str"},
+        "validation_batch_size": {"key": "validationBatchSize", "type": "str"},
+        "warmup_cosine_lr_cycles": {"key": "warmupCosineLRCycles", "type": "str"},
+        "warmup_cosine_lr_warmup_epochs": {"key": "warmupCosineLRWarmupEpochs", "type": "str"},
+        "weight_decay": {"key": "weightDecay", "type": "str"},
+        "box_detections_per_image": {"key": "boxDetectionsPerImage", "type": "str"},
+        "box_score_threshold": {"key": "boxScoreThreshold", "type": "str"},
+        "image_size": {"key": "imageSize", "type": "str"},
+        "max_size": {"key": "maxSize", "type": "str"},
+        "min_size": {"key": "minSize", "type": "str"},
+        "model_size": {"key": "modelSize", "type": "str"},
+        "multi_scale": {"key": "multiScale", "type": "str"},
+        "nms_iou_threshold": {"key": "nmsIouThreshold", "type": "str"},
+        "tile_grid_size": {"key": "tileGridSize", "type": "str"},
+        "tile_overlap_ratio": {"key": "tileOverlapRatio", "type": "str"},
+        "tile_predictions_nms_threshold": {"key": "tilePredictionsNmsThreshold", "type": "str"},
+        "validation_iou_threshold": {"key": "validationIouThreshold", "type": "str"},
+        "validation_metric_type": {"key": "validationMetricType", "type": "str"},
+    }
+
+    def __init__(self, **kwargs):
         """
         :keyword ams_gradient: Enable AMSGrad when optimizer is 'adam' or 'adamw'.
         :paramtype ams_gradient: str
@@ -17891,155 +16926,152 @@ def __init__(
         :paramtype validation_metric_type: str
         """
         super(ImageModelDistributionSettingsObjectDetection, self).__init__(**kwargs)
-        self.box_detections_per_image = kwargs.get('box_detections_per_image', None)
-        self.box_score_threshold = kwargs.get('box_score_threshold', None)
-        self.image_size = kwargs.get('image_size', None)
-        self.max_size = kwargs.get('max_size', None)
-        self.min_size = kwargs.get('min_size', None)
-        self.model_size = kwargs.get('model_size', None)
-        self.multi_scale = kwargs.get('multi_scale', None)
-        self.nms_iou_threshold = kwargs.get('nms_iou_threshold', None)
-        self.tile_grid_size = kwargs.get('tile_grid_size', None)
-        self.tile_overlap_ratio = kwargs.get('tile_overlap_ratio', None)
-        self.tile_predictions_nms_threshold = kwargs.get('tile_predictions_nms_threshold', None)
-        self.validation_iou_threshold = kwargs.get('validation_iou_threshold', None)
-        self.validation_metric_type = kwargs.get('validation_metric_type', None)
+        self.box_detections_per_image = kwargs.get("box_detections_per_image", None)
+        self.box_score_threshold = kwargs.get("box_score_threshold", None)
+        self.image_size = kwargs.get("image_size", None)
+        self.max_size = kwargs.get("max_size", None)
+        self.min_size = kwargs.get("min_size", None)
+        self.model_size = kwargs.get("model_size", None)
+        self.multi_scale = kwargs.get("multi_scale", None)
+        self.nms_iou_threshold = kwargs.get("nms_iou_threshold", None)
+        self.tile_grid_size = kwargs.get("tile_grid_size", None)
+        self.tile_overlap_ratio = kwargs.get("tile_overlap_ratio", None)
+        self.tile_predictions_nms_threshold = kwargs.get("tile_predictions_nms_threshold", None)
+        self.validation_iou_threshold = kwargs.get("validation_iou_threshold", None)
+        self.validation_metric_type = kwargs.get("validation_metric_type", None)
 
 
 class ImageModelSettings(msrest.serialization.Model):
     """Settings used for training the model.
-For more information on the available settings please visit the official documentation:
-https://docs.microsoft.com/en-us/azure/machine-learning/how-to-auto-train-image-models.
-
-    :ivar advanced_settings: Settings for advanced scenarios.
-    :vartype advanced_settings: str
-    :ivar ams_gradient: Enable AMSGrad when optimizer is 'adam' or 'adamw'.
-    :vartype ams_gradient: bool
-    :ivar augmentations: Settings for using Augmentations.
-    :vartype augmentations: str
-    :ivar beta1: Value of 'beta1' when optimizer is 'adam' or 'adamw'. Must be a float in the range
-     [0, 1].
-    :vartype beta1: float
-    :ivar beta2: Value of 'beta2' when optimizer is 'adam' or 'adamw'. Must be a float in the range
-     [0, 1].
-    :vartype beta2: float
-    :ivar checkpoint_frequency: Frequency to store model checkpoints. Must be a positive integer.
-    :vartype checkpoint_frequency: int
-    :ivar checkpoint_model: The pretrained checkpoint model for incremental training.
-    :vartype checkpoint_model: ~azure.mgmt.machinelearningservices.models.MLFlowModelJobInput
-    :ivar checkpoint_run_id: The id of a previous run that has a pretrained checkpoint for
-     incremental training.
-    :vartype checkpoint_run_id: str
-    :ivar distributed: Whether to use distributed training.
-    :vartype distributed: bool
-    :ivar early_stopping: Enable early stopping logic during training.
-    :vartype early_stopping: bool
-    :ivar early_stopping_delay: Minimum number of epochs or validation evaluations to wait before
-     primary metric improvement
-     is tracked for early stopping. Must be a positive integer.
-    :vartype early_stopping_delay: int
-    :ivar early_stopping_patience: Minimum number of epochs or validation evaluations with no
-     primary metric improvement before
-     the run is stopped. Must be a positive integer.
-    :vartype early_stopping_patience: int
-    :ivar enable_onnx_normalization: Enable normalization when exporting ONNX model.
-    :vartype enable_onnx_normalization: bool
-    :ivar evaluation_frequency: Frequency to evaluate validation dataset to get metric scores. Must
-     be a positive integer.
-    :vartype evaluation_frequency: int
-    :ivar gradient_accumulation_step: Gradient accumulation means running a configured number of
-     "GradAccumulationStep" steps without
-     updating the model weights while accumulating the gradients of those steps, and then using
-     the accumulated gradients to compute the weight updates. Must be a positive integer.
-    :vartype gradient_accumulation_step: int
-    :ivar layers_to_freeze: Number of layers to freeze for the model. Must be a positive integer.
-     For instance, passing 2 as value for 'seresnext' means
-     freezing layer0 and layer1. For a full list of models supported and details on layer freeze,
-     please
-     see: https://docs.microsoft.com/en-us/azure/machine-learning/how-to-auto-train-image-models.
-    :vartype layers_to_freeze: int
-    :ivar learning_rate: Initial learning rate. Must be a float in the range [0, 1].
-    :vartype learning_rate: float
-    :ivar learning_rate_scheduler: Type of learning rate scheduler. Must be 'warmup_cosine' or
-     'step'. Possible values include: "None", "WarmupCosine", "Step".
-    :vartype learning_rate_scheduler: str or
-     ~azure.mgmt.machinelearningservices.models.LearningRateScheduler
-    :ivar model_name: Name of the model to use for training.
-     For more information on the available models please visit the official documentation:
-     https://docs.microsoft.com/en-us/azure/machine-learning/how-to-auto-train-image-models.
-    :vartype model_name: str
-    :ivar momentum: Value of momentum when optimizer is 'sgd'. Must be a float in the range [0, 1].
-    :vartype momentum: float
-    :ivar nesterov: Enable nesterov when optimizer is 'sgd'.
-    :vartype nesterov: bool
-    :ivar number_of_epochs: Number of training epochs. Must be a positive integer.
-    :vartype number_of_epochs: int
-    :ivar number_of_workers: Number of data loader workers. Must be a non-negative integer.
-    :vartype number_of_workers: int
-    :ivar optimizer: Type of optimizer. Possible values include: "None", "Sgd", "Adam", "Adamw".
-    :vartype optimizer: str or ~azure.mgmt.machinelearningservices.models.StochasticOptimizer
-    :ivar random_seed: Random seed to be used when using deterministic training.
-    :vartype random_seed: int
-    :ivar step_lr_gamma: Value of gamma when learning rate scheduler is 'step'. Must be a float in
-     the range [0, 1].
-    :vartype step_lr_gamma: float
-    :ivar step_lr_step_size: Value of step size when learning rate scheduler is 'step'. Must be a
-     positive integer.
-    :vartype step_lr_step_size: int
-    :ivar training_batch_size: Training batch size. Must be a positive integer.
-    :vartype training_batch_size: int
-    :ivar validation_batch_size: Validation batch size. Must be a positive integer.
-    :vartype validation_batch_size: int
-    :ivar warmup_cosine_lr_cycles: Value of cosine cycle when learning rate scheduler is
-     'warmup_cosine'. Must be a float in the range [0, 1].
-    :vartype warmup_cosine_lr_cycles: float
-    :ivar warmup_cosine_lr_warmup_epochs: Value of warmup epochs when learning rate scheduler is
-     'warmup_cosine'. Must be a positive integer.
-    :vartype warmup_cosine_lr_warmup_epochs: int
-    :ivar weight_decay: Value of weight decay when optimizer is 'sgd', 'adam', or 'adamw'. Must be
-     a float in the range[0, 1].
-    :vartype weight_decay: float
-    """
-
-    _attribute_map = {
-        'advanced_settings': {'key': 'advancedSettings', 'type': 'str'},
-        'ams_gradient': {'key': 'amsGradient', 'type': 'bool'},
-        'augmentations': {'key': 'augmentations', 'type': 'str'},
-        'beta1': {'key': 'beta1', 'type': 'float'},
-        'beta2': {'key': 'beta2', 'type': 'float'},
-        'checkpoint_frequency': {'key': 'checkpointFrequency', 'type': 'int'},
-        'checkpoint_model': {'key': 'checkpointModel', 'type': 'MLFlowModelJobInput'},
-        'checkpoint_run_id': {'key': 'checkpointRunId', 'type': 'str'},
-        'distributed': {'key': 'distributed', 'type': 'bool'},
-        'early_stopping': {'key': 'earlyStopping', 'type': 'bool'},
-        'early_stopping_delay': {'key': 'earlyStoppingDelay', 'type': 'int'},
-        'early_stopping_patience': {'key': 'earlyStoppingPatience', 'type': 'int'},
-        'enable_onnx_normalization': {'key': 'enableOnnxNormalization', 'type': 'bool'},
-        'evaluation_frequency': {'key': 'evaluationFrequency', 'type': 'int'},
-        'gradient_accumulation_step': {'key': 'gradientAccumulationStep', 'type': 'int'},
-        'layers_to_freeze': {'key': 'layersToFreeze', 'type': 'int'},
-        'learning_rate': {'key': 'learningRate', 'type': 'float'},
-        'learning_rate_scheduler': {'key': 'learningRateScheduler', 'type': 'str'},
-        'model_name': {'key': 'modelName', 'type': 'str'},
-        'momentum': {'key': 'momentum', 'type': 'float'},
-        'nesterov': {'key': 'nesterov', 'type': 'bool'},
-        'number_of_epochs': {'key': 'numberOfEpochs', 'type': 'int'},
-        'number_of_workers': {'key': 'numberOfWorkers', 'type': 'int'},
-        'optimizer': {'key': 'optimizer', 'type': 'str'},
-        'random_seed': {'key': 'randomSeed', 'type': 'int'},
-        'step_lr_gamma': {'key': 'stepLRGamma', 'type': 'float'},
-        'step_lr_step_size': {'key': 'stepLRStepSize', 'type': 'int'},
-        'training_batch_size': {'key': 'trainingBatchSize', 'type': 'int'},
-        'validation_batch_size': {'key': 'validationBatchSize', 'type': 'int'},
-        'warmup_cosine_lr_cycles': {'key': 'warmupCosineLRCycles', 'type': 'float'},
-        'warmup_cosine_lr_warmup_epochs': {'key': 'warmupCosineLRWarmupEpochs', 'type': 'int'},
-        'weight_decay': {'key': 'weightDecay', 'type': 'float'},
-    }
-
-    def __init__(
-            self,
-            **kwargs
-    ):
+    For more information on the available settings please visit the official documentation:
+    https://docs.microsoft.com/en-us/azure/machine-learning/how-to-auto-train-image-models.
+
+        :ivar advanced_settings: Settings for advanced scenarios.
+        :vartype advanced_settings: str
+        :ivar ams_gradient: Enable AMSGrad when optimizer is 'adam' or 'adamw'.
+        :vartype ams_gradient: bool
+        :ivar augmentations: Settings for using Augmentations.
+        :vartype augmentations: str
+        :ivar beta1: Value of 'beta1' when optimizer is 'adam' or 'adamw'. Must be a float in the range
+         [0, 1].
+        :vartype beta1: float
+        :ivar beta2: Value of 'beta2' when optimizer is 'adam' or 'adamw'. Must be a float in the range
+         [0, 1].
+        :vartype beta2: float
+        :ivar checkpoint_frequency: Frequency to store model checkpoints. Must be a positive integer.
+        :vartype checkpoint_frequency: int
+        :ivar checkpoint_model: The pretrained checkpoint model for incremental training.
+        :vartype checkpoint_model: ~azure.mgmt.machinelearningservices.models.MLFlowModelJobInput
+        :ivar checkpoint_run_id: The id of a previous run that has a pretrained checkpoint for
+         incremental training.
+        :vartype checkpoint_run_id: str
+        :ivar distributed: Whether to use distributed training.
+        :vartype distributed: bool
+        :ivar early_stopping: Enable early stopping logic during training.
+        :vartype early_stopping: bool
+        :ivar early_stopping_delay: Minimum number of epochs or validation evaluations to wait before
+         primary metric improvement
+         is tracked for early stopping. Must be a positive integer.
+        :vartype early_stopping_delay: int
+        :ivar early_stopping_patience: Minimum number of epochs or validation evaluations with no
+         primary metric improvement before
+         the run is stopped. Must be a positive integer.
+        :vartype early_stopping_patience: int
+        :ivar enable_onnx_normalization: Enable normalization when exporting ONNX model.
+        :vartype enable_onnx_normalization: bool
+        :ivar evaluation_frequency: Frequency to evaluate validation dataset to get metric scores. Must
+         be a positive integer.
+        :vartype evaluation_frequency: int
+        :ivar gradient_accumulation_step: Gradient accumulation means running a configured number of
+         "GradAccumulationStep" steps without
+         updating the model weights while accumulating the gradients of those steps, and then using
+         the accumulated gradients to compute the weight updates. Must be a positive integer.
+        :vartype gradient_accumulation_step: int
+        :ivar layers_to_freeze: Number of layers to freeze for the model. Must be a positive integer.
+         For instance, passing 2 as value for 'seresnext' means
+         freezing layer0 and layer1. For a full list of models supported and details on layer freeze,
+         please
+         see: https://docs.microsoft.com/en-us/azure/machine-learning/how-to-auto-train-image-models.
+        :vartype layers_to_freeze: int
+        :ivar learning_rate: Initial learning rate. Must be a float in the range [0, 1].
+        :vartype learning_rate: float
+        :ivar learning_rate_scheduler: Type of learning rate scheduler. Must be 'warmup_cosine' or
+         'step'. Possible values include: "None", "WarmupCosine", "Step".
+        :vartype learning_rate_scheduler: str or
+         ~azure.mgmt.machinelearningservices.models.LearningRateScheduler
+        :ivar model_name: Name of the model to use for training.
+         For more information on the available models please visit the official documentation:
+         https://docs.microsoft.com/en-us/azure/machine-learning/how-to-auto-train-image-models.
+        :vartype model_name: str
+        :ivar momentum: Value of momentum when optimizer is 'sgd'. Must be a float in the range [0, 1].
+        :vartype momentum: float
+        :ivar nesterov: Enable nesterov when optimizer is 'sgd'.
+        :vartype nesterov: bool
+        :ivar number_of_epochs: Number of training epochs. Must be a positive integer.
+        :vartype number_of_epochs: int
+        :ivar number_of_workers: Number of data loader workers. Must be a non-negative integer.
+        :vartype number_of_workers: int
+        :ivar optimizer: Type of optimizer. Possible values include: "None", "Sgd", "Adam", "Adamw".
+        :vartype optimizer: str or ~azure.mgmt.machinelearningservices.models.StochasticOptimizer
+        :ivar random_seed: Random seed to be used when using deterministic training.
+        :vartype random_seed: int
+        :ivar step_lr_gamma: Value of gamma when learning rate scheduler is 'step'. Must be a float in
+         the range [0, 1].
+        :vartype step_lr_gamma: float
+        :ivar step_lr_step_size: Value of step size when learning rate scheduler is 'step'. Must be a
+         positive integer.
+        :vartype step_lr_step_size: int
+        :ivar training_batch_size: Training batch size. Must be a positive integer.
+        :vartype training_batch_size: int
+        :ivar validation_batch_size: Validation batch size. Must be a positive integer.
+        :vartype validation_batch_size: int
+        :ivar warmup_cosine_lr_cycles: Value of cosine cycle when learning rate scheduler is
+         'warmup_cosine'. Must be a float in the range [0, 1].
+        :vartype warmup_cosine_lr_cycles: float
+        :ivar warmup_cosine_lr_warmup_epochs: Value of warmup epochs when learning rate scheduler is
+         'warmup_cosine'. Must be a positive integer.
+        :vartype warmup_cosine_lr_warmup_epochs: int
+        :ivar weight_decay: Value of weight decay when optimizer is 'sgd', 'adam', or 'adamw'. Must be
+         a float in the range[0, 1].
+        :vartype weight_decay: float
+    """
+
+    _attribute_map = {
+        "advanced_settings": {"key": "advancedSettings", "type": "str"},
+        "ams_gradient": {"key": "amsGradient", "type": "bool"},
+        "augmentations": {"key": "augmentations", "type": "str"},
+        "beta1": {"key": "beta1", "type": "float"},
+        "beta2": {"key": "beta2", "type": "float"},
+        "checkpoint_frequency": {"key": "checkpointFrequency", "type": "int"},
+        "checkpoint_model": {"key": "checkpointModel", "type": "MLFlowModelJobInput"},
+        "checkpoint_run_id": {"key": "checkpointRunId", "type": "str"},
+        "distributed": {"key": "distributed", "type": "bool"},
+        "early_stopping": {"key": "earlyStopping", "type": "bool"},
+        "early_stopping_delay": {"key": "earlyStoppingDelay", "type": "int"},
+        "early_stopping_patience": {"key": "earlyStoppingPatience", "type": "int"},
+        "enable_onnx_normalization": {"key": "enableOnnxNormalization", "type": "bool"},
+        "evaluation_frequency": {"key": "evaluationFrequency", "type": "int"},
+        "gradient_accumulation_step": {"key": "gradientAccumulationStep", "type": "int"},
+        "layers_to_freeze": {"key": "layersToFreeze", "type": "int"},
+        "learning_rate": {"key": "learningRate", "type": "float"},
+        "learning_rate_scheduler": {"key": "learningRateScheduler", "type": "str"},
+        "model_name": {"key": "modelName", "type": "str"},
+        "momentum": {"key": "momentum", "type": "float"},
+        "nesterov": {"key": "nesterov", "type": "bool"},
+        "number_of_epochs": {"key": "numberOfEpochs", "type": "int"},
+        "number_of_workers": {"key": "numberOfWorkers", "type": "int"},
+        "optimizer": {"key": "optimizer", "type": "str"},
+        "random_seed": {"key": "randomSeed", "type": "int"},
+        "step_lr_gamma": {"key": "stepLRGamma", "type": "float"},
+        "step_lr_step_size": {"key": "stepLRStepSize", "type": "int"},
+        "training_batch_size": {"key": "trainingBatchSize", "type": "int"},
+        "validation_batch_size": {"key": "validationBatchSize", "type": "int"},
+        "warmup_cosine_lr_cycles": {"key": "warmupCosineLRCycles", "type": "float"},
+        "warmup_cosine_lr_warmup_epochs": {"key": "warmupCosineLRWarmupEpochs", "type": "int"},
+        "weight_decay": {"key": "weightDecay", "type": "float"},
+    }
+
+    def __init__(self, **kwargs):
         """
         :keyword advanced_settings: Settings for advanced scenarios.
         :paramtype advanced_settings: str
@@ -18134,191 +17166,188 @@ def __init__(
         :paramtype weight_decay: float
         """
         super(ImageModelSettings, self).__init__(**kwargs)
-        self.advanced_settings = kwargs.get('advanced_settings', None)
-        self.ams_gradient = kwargs.get('ams_gradient', None)
-        self.augmentations = kwargs.get('augmentations', None)
-        self.beta1 = kwargs.get('beta1', None)
-        self.beta2 = kwargs.get('beta2', None)
-        self.checkpoint_frequency = kwargs.get('checkpoint_frequency', None)
-        self.checkpoint_model = kwargs.get('checkpoint_model', None)
-        self.checkpoint_run_id = kwargs.get('checkpoint_run_id', None)
-        self.distributed = kwargs.get('distributed', None)
-        self.early_stopping = kwargs.get('early_stopping', None)
-        self.early_stopping_delay = kwargs.get('early_stopping_delay', None)
-        self.early_stopping_patience = kwargs.get('early_stopping_patience', None)
-        self.enable_onnx_normalization = kwargs.get('enable_onnx_normalization', None)
-        self.evaluation_frequency = kwargs.get('evaluation_frequency', None)
-        self.gradient_accumulation_step = kwargs.get('gradient_accumulation_step', None)
-        self.layers_to_freeze = kwargs.get('layers_to_freeze', None)
-        self.learning_rate = kwargs.get('learning_rate', None)
-        self.learning_rate_scheduler = kwargs.get('learning_rate_scheduler', None)
-        self.model_name = kwargs.get('model_name', None)
-        self.momentum = kwargs.get('momentum', None)
-        self.nesterov = kwargs.get('nesterov', None)
-        self.number_of_epochs = kwargs.get('number_of_epochs', None)
-        self.number_of_workers = kwargs.get('number_of_workers', None)
-        self.optimizer = kwargs.get('optimizer', None)
-        self.random_seed = kwargs.get('random_seed', None)
-        self.step_lr_gamma = kwargs.get('step_lr_gamma', None)
-        self.step_lr_step_size = kwargs.get('step_lr_step_size', None)
-        self.training_batch_size = kwargs.get('training_batch_size', None)
-        self.validation_batch_size = kwargs.get('validation_batch_size', None)
-        self.warmup_cosine_lr_cycles = kwargs.get('warmup_cosine_lr_cycles', None)
-        self.warmup_cosine_lr_warmup_epochs = kwargs.get('warmup_cosine_lr_warmup_epochs', None)
-        self.weight_decay = kwargs.get('weight_decay', None)
+        self.advanced_settings = kwargs.get("advanced_settings", None)
+        self.ams_gradient = kwargs.get("ams_gradient", None)
+        self.augmentations = kwargs.get("augmentations", None)
+        self.beta1 = kwargs.get("beta1", None)
+        self.beta2 = kwargs.get("beta2", None)
+        self.checkpoint_frequency = kwargs.get("checkpoint_frequency", None)
+        self.checkpoint_model = kwargs.get("checkpoint_model", None)
+        self.checkpoint_run_id = kwargs.get("checkpoint_run_id", None)
+        self.distributed = kwargs.get("distributed", None)
+        self.early_stopping = kwargs.get("early_stopping", None)
+        self.early_stopping_delay = kwargs.get("early_stopping_delay", None)
+        self.early_stopping_patience = kwargs.get("early_stopping_patience", None)
+        self.enable_onnx_normalization = kwargs.get("enable_onnx_normalization", None)
+        self.evaluation_frequency = kwargs.get("evaluation_frequency", None)
+        self.gradient_accumulation_step = kwargs.get("gradient_accumulation_step", None)
+        self.layers_to_freeze = kwargs.get("layers_to_freeze", None)
+        self.learning_rate = kwargs.get("learning_rate", None)
+        self.learning_rate_scheduler = kwargs.get("learning_rate_scheduler", None)
+        self.model_name = kwargs.get("model_name", None)
+        self.momentum = kwargs.get("momentum", None)
+        self.nesterov = kwargs.get("nesterov", None)
+        self.number_of_epochs = kwargs.get("number_of_epochs", None)
+        self.number_of_workers = kwargs.get("number_of_workers", None)
+        self.optimizer = kwargs.get("optimizer", None)
+        self.random_seed = kwargs.get("random_seed", None)
+        self.step_lr_gamma = kwargs.get("step_lr_gamma", None)
+        self.step_lr_step_size = kwargs.get("step_lr_step_size", None)
+        self.training_batch_size = kwargs.get("training_batch_size", None)
+        self.validation_batch_size = kwargs.get("validation_batch_size", None)
+        self.warmup_cosine_lr_cycles = kwargs.get("warmup_cosine_lr_cycles", None)
+        self.warmup_cosine_lr_warmup_epochs = kwargs.get("warmup_cosine_lr_warmup_epochs", None)
+        self.weight_decay = kwargs.get("weight_decay", None)
 
 
 class ImageModelSettingsClassification(ImageModelSettings):
     """Settings used for training the model.
-For more information on the available settings please visit the official documentation:
-https://docs.microsoft.com/en-us/azure/machine-learning/how-to-auto-train-image-models.
-
-    :ivar advanced_settings: Settings for advanced scenarios.
-    :vartype advanced_settings: str
-    :ivar ams_gradient: Enable AMSGrad when optimizer is 'adam' or 'adamw'.
-    :vartype ams_gradient: bool
-    :ivar augmentations: Settings for using Augmentations.
-    :vartype augmentations: str
-    :ivar beta1: Value of 'beta1' when optimizer is 'adam' or 'adamw'. Must be a float in the range
-     [0, 1].
-    :vartype beta1: float
-    :ivar beta2: Value of 'beta2' when optimizer is 'adam' or 'adamw'. Must be a float in the range
-     [0, 1].
-    :vartype beta2: float
-    :ivar checkpoint_frequency: Frequency to store model checkpoints. Must be a positive integer.
-    :vartype checkpoint_frequency: int
-    :ivar checkpoint_model: The pretrained checkpoint model for incremental training.
-    :vartype checkpoint_model: ~azure.mgmt.machinelearningservices.models.MLFlowModelJobInput
-    :ivar checkpoint_run_id: The id of a previous run that has a pretrained checkpoint for
-     incremental training.
-    :vartype checkpoint_run_id: str
-    :ivar distributed: Whether to use distributed training.
-    :vartype distributed: bool
-    :ivar early_stopping: Enable early stopping logic during training.
-    :vartype early_stopping: bool
-    :ivar early_stopping_delay: Minimum number of epochs or validation evaluations to wait before
-     primary metric improvement
-     is tracked for early stopping. Must be a positive integer.
-    :vartype early_stopping_delay: int
-    :ivar early_stopping_patience: Minimum number of epochs or validation evaluations with no
-     primary metric improvement before
-     the run is stopped. Must be a positive integer.
-    :vartype early_stopping_patience: int
-    :ivar enable_onnx_normalization: Enable normalization when exporting ONNX model.
-    :vartype enable_onnx_normalization: bool
-    :ivar evaluation_frequency: Frequency to evaluate validation dataset to get metric scores. Must
-     be a positive integer.
-    :vartype evaluation_frequency: int
-    :ivar gradient_accumulation_step: Gradient accumulation means running a configured number of
-     "GradAccumulationStep" steps without
-     updating the model weights while accumulating the gradients of those steps, and then using
-     the accumulated gradients to compute the weight updates. Must be a positive integer.
-    :vartype gradient_accumulation_step: int
-    :ivar layers_to_freeze: Number of layers to freeze for the model. Must be a positive integer.
-     For instance, passing 2 as value for 'seresnext' means
-     freezing layer0 and layer1. For a full list of models supported and details on layer freeze,
-     please
-     see: https://docs.microsoft.com/en-us/azure/machine-learning/how-to-auto-train-image-models.
-    :vartype layers_to_freeze: int
-    :ivar learning_rate: Initial learning rate. Must be a float in the range [0, 1].
-    :vartype learning_rate: float
-    :ivar learning_rate_scheduler: Type of learning rate scheduler. Must be 'warmup_cosine' or
-     'step'. Possible values include: "None", "WarmupCosine", "Step".
-    :vartype learning_rate_scheduler: str or
-     ~azure.mgmt.machinelearningservices.models.LearningRateScheduler
-    :ivar model_name: Name of the model to use for training.
-     For more information on the available models please visit the official documentation:
-     https://docs.microsoft.com/en-us/azure/machine-learning/how-to-auto-train-image-models.
-    :vartype model_name: str
-    :ivar momentum: Value of momentum when optimizer is 'sgd'. Must be a float in the range [0, 1].
-    :vartype momentum: float
-    :ivar nesterov: Enable nesterov when optimizer is 'sgd'.
-    :vartype nesterov: bool
-    :ivar number_of_epochs: Number of training epochs. Must be a positive integer.
-    :vartype number_of_epochs: int
-    :ivar number_of_workers: Number of data loader workers. Must be a non-negative integer.
-    :vartype number_of_workers: int
-    :ivar optimizer: Type of optimizer. Possible values include: "None", "Sgd", "Adam", "Adamw".
-    :vartype optimizer: str or ~azure.mgmt.machinelearningservices.models.StochasticOptimizer
-    :ivar random_seed: Random seed to be used when using deterministic training.
-    :vartype random_seed: int
-    :ivar step_lr_gamma: Value of gamma when learning rate scheduler is 'step'. Must be a float in
-     the range [0, 1].
-    :vartype step_lr_gamma: float
-    :ivar step_lr_step_size: Value of step size when learning rate scheduler is 'step'. Must be a
-     positive integer.
-    :vartype step_lr_step_size: int
-    :ivar training_batch_size: Training batch size. Must be a positive integer.
-    :vartype training_batch_size: int
-    :ivar validation_batch_size: Validation batch size. Must be a positive integer.
-    :vartype validation_batch_size: int
-    :ivar warmup_cosine_lr_cycles: Value of cosine cycle when learning rate scheduler is
-     'warmup_cosine'. Must be a float in the range [0, 1].
-    :vartype warmup_cosine_lr_cycles: float
-    :ivar warmup_cosine_lr_warmup_epochs: Value of warmup epochs when learning rate scheduler is
-     'warmup_cosine'. Must be a positive integer.
-    :vartype warmup_cosine_lr_warmup_epochs: int
-    :ivar weight_decay: Value of weight decay when optimizer is 'sgd', 'adam', or 'adamw'. Must be
-     a float in the range[0, 1].
-    :vartype weight_decay: float
-    :ivar training_crop_size: Image crop size that is input to the neural network for the training
-     dataset. Must be a positive integer.
-    :vartype training_crop_size: int
-    :ivar validation_crop_size: Image crop size that is input to the neural network for the
-     validation dataset. Must be a positive integer.
-    :vartype validation_crop_size: int
-    :ivar validation_resize_size: Image size to which to resize before cropping for validation
-     dataset. Must be a positive integer.
-    :vartype validation_resize_size: int
-    :ivar weighted_loss: Weighted loss. The accepted values are 0 for no weighted loss.
-     1 for weighted loss with sqrt.(class_weights). 2 for weighted loss with class_weights. Must be
-     0 or 1 or 2.
-    :vartype weighted_loss: int
-    """
-
-    _attribute_map = {
-        'advanced_settings': {'key': 'advancedSettings', 'type': 'str'},
-        'ams_gradient': {'key': 'amsGradient', 'type': 'bool'},
-        'augmentations': {'key': 'augmentations', 'type': 'str'},
-        'beta1': {'key': 'beta1', 'type': 'float'},
-        'beta2': {'key': 'beta2', 'type': 'float'},
-        'checkpoint_frequency': {'key': 'checkpointFrequency', 'type': 'int'},
-        'checkpoint_model': {'key': 'checkpointModel', 'type': 'MLFlowModelJobInput'},
-        'checkpoint_run_id': {'key': 'checkpointRunId', 'type': 'str'},
-        'distributed': {'key': 'distributed', 'type': 'bool'},
-        'early_stopping': {'key': 'earlyStopping', 'type': 'bool'},
-        'early_stopping_delay': {'key': 'earlyStoppingDelay', 'type': 'int'},
-        'early_stopping_patience': {'key': 'earlyStoppingPatience', 'type': 'int'},
-        'enable_onnx_normalization': {'key': 'enableOnnxNormalization', 'type': 'bool'},
-        'evaluation_frequency': {'key': 'evaluationFrequency', 'type': 'int'},
-        'gradient_accumulation_step': {'key': 'gradientAccumulationStep', 'type': 'int'},
-        'layers_to_freeze': {'key': 'layersToFreeze', 'type': 'int'},
-        'learning_rate': {'key': 'learningRate', 'type': 'float'},
-        'learning_rate_scheduler': {'key': 'learningRateScheduler', 'type': 'str'},
-        'model_name': {'key': 'modelName', 'type': 'str'},
-        'momentum': {'key': 'momentum', 'type': 'float'},
-        'nesterov': {'key': 'nesterov', 'type': 'bool'},
-        'number_of_epochs': {'key': 'numberOfEpochs', 'type': 'int'},
-        'number_of_workers': {'key': 'numberOfWorkers', 'type': 'int'},
-        'optimizer': {'key': 'optimizer', 'type': 'str'},
-        'random_seed': {'key': 'randomSeed', 'type': 'int'},
-        'step_lr_gamma': {'key': 'stepLRGamma', 'type': 'float'},
-        'step_lr_step_size': {'key': 'stepLRStepSize', 'type': 'int'},
-        'training_batch_size': {'key': 'trainingBatchSize', 'type': 'int'},
-        'validation_batch_size': {'key': 'validationBatchSize', 'type': 'int'},
-        'warmup_cosine_lr_cycles': {'key': 'warmupCosineLRCycles', 'type': 'float'},
-        'warmup_cosine_lr_warmup_epochs': {'key': 'warmupCosineLRWarmupEpochs', 'type': 'int'},
-        'weight_decay': {'key': 'weightDecay', 'type': 'float'},
-        'training_crop_size': {'key': 'trainingCropSize', 'type': 'int'},
-        'validation_crop_size': {'key': 'validationCropSize', 'type': 'int'},
-        'validation_resize_size': {'key': 'validationResizeSize', 'type': 'int'},
-        'weighted_loss': {'key': 'weightedLoss', 'type': 'int'},
-    }
-
-    def __init__(
-            self,
-            **kwargs
-    ):
+    For more information on the available settings please visit the official documentation:
+    https://docs.microsoft.com/en-us/azure/machine-learning/how-to-auto-train-image-models.
+
+        :ivar advanced_settings: Settings for advanced scenarios.
+        :vartype advanced_settings: str
+        :ivar ams_gradient: Enable AMSGrad when optimizer is 'adam' or 'adamw'.
+        :vartype ams_gradient: bool
+        :ivar augmentations: Settings for using Augmentations.
+        :vartype augmentations: str
+        :ivar beta1: Value of 'beta1' when optimizer is 'adam' or 'adamw'. Must be a float in the range
+         [0, 1].
+        :vartype beta1: float
+        :ivar beta2: Value of 'beta2' when optimizer is 'adam' or 'adamw'. Must be a float in the range
+         [0, 1].
+        :vartype beta2: float
+        :ivar checkpoint_frequency: Frequency to store model checkpoints. Must be a positive integer.
+        :vartype checkpoint_frequency: int
+        :ivar checkpoint_model: The pretrained checkpoint model for incremental training.
+        :vartype checkpoint_model: ~azure.mgmt.machinelearningservices.models.MLFlowModelJobInput
+        :ivar checkpoint_run_id: The id of a previous run that has a pretrained checkpoint for
+         incremental training.
+        :vartype checkpoint_run_id: str
+        :ivar distributed: Whether to use distributed training.
+        :vartype distributed: bool
+        :ivar early_stopping: Enable early stopping logic during training.
+        :vartype early_stopping: bool
+        :ivar early_stopping_delay: Minimum number of epochs or validation evaluations to wait before
+         primary metric improvement
+         is tracked for early stopping. Must be a positive integer.
+        :vartype early_stopping_delay: int
+        :ivar early_stopping_patience: Minimum number of epochs or validation evaluations with no
+         primary metric improvement before
+         the run is stopped. Must be a positive integer.
+        :vartype early_stopping_patience: int
+        :ivar enable_onnx_normalization: Enable normalization when exporting ONNX model.
+        :vartype enable_onnx_normalization: bool
+        :ivar evaluation_frequency: Frequency to evaluate validation dataset to get metric scores. Must
+         be a positive integer.
+        :vartype evaluation_frequency: int
+        :ivar gradient_accumulation_step: Gradient accumulation means running a configured number of
+         "GradAccumulationStep" steps without
+         updating the model weights while accumulating the gradients of those steps, and then using
+         the accumulated gradients to compute the weight updates. Must be a positive integer.
+        :vartype gradient_accumulation_step: int
+        :ivar layers_to_freeze: Number of layers to freeze for the model. Must be a positive integer.
+         For instance, passing 2 as value for 'seresnext' means
+         freezing layer0 and layer1. For a full list of models supported and details on layer freeze,
+         please
+         see: https://docs.microsoft.com/en-us/azure/machine-learning/how-to-auto-train-image-models.
+        :vartype layers_to_freeze: int
+        :ivar learning_rate: Initial learning rate. Must be a float in the range [0, 1].
+        :vartype learning_rate: float
+        :ivar learning_rate_scheduler: Type of learning rate scheduler. Must be 'warmup_cosine' or
+         'step'. Possible values include: "None", "WarmupCosine", "Step".
+        :vartype learning_rate_scheduler: str or
+         ~azure.mgmt.machinelearningservices.models.LearningRateScheduler
+        :ivar model_name: Name of the model to use for training.
+         For more information on the available models please visit the official documentation:
+         https://docs.microsoft.com/en-us/azure/machine-learning/how-to-auto-train-image-models.
+        :vartype model_name: str
+        :ivar momentum: Value of momentum when optimizer is 'sgd'. Must be a float in the range [0, 1].
+        :vartype momentum: float
+        :ivar nesterov: Enable nesterov when optimizer is 'sgd'.
+        :vartype nesterov: bool
+        :ivar number_of_epochs: Number of training epochs. Must be a positive integer.
+        :vartype number_of_epochs: int
+        :ivar number_of_workers: Number of data loader workers. Must be a non-negative integer.
+        :vartype number_of_workers: int
+        :ivar optimizer: Type of optimizer. Possible values include: "None", "Sgd", "Adam", "Adamw".
+        :vartype optimizer: str or ~azure.mgmt.machinelearningservices.models.StochasticOptimizer
+        :ivar random_seed: Random seed to be used when using deterministic training.
+        :vartype random_seed: int
+        :ivar step_lr_gamma: Value of gamma when learning rate scheduler is 'step'. Must be a float in
+         the range [0, 1].
+        :vartype step_lr_gamma: float
+        :ivar step_lr_step_size: Value of step size when learning rate scheduler is 'step'. Must be a
+         positive integer.
+        :vartype step_lr_step_size: int
+        :ivar training_batch_size: Training batch size. Must be a positive integer.
+        :vartype training_batch_size: int
+        :ivar validation_batch_size: Validation batch size. Must be a positive integer.
+        :vartype validation_batch_size: int
+        :ivar warmup_cosine_lr_cycles: Value of cosine cycle when learning rate scheduler is
+         'warmup_cosine'. Must be a float in the range [0, 1].
+        :vartype warmup_cosine_lr_cycles: float
+        :ivar warmup_cosine_lr_warmup_epochs: Value of warmup epochs when learning rate scheduler is
+         'warmup_cosine'. Must be a positive integer.
+        :vartype warmup_cosine_lr_warmup_epochs: int
+        :ivar weight_decay: Value of weight decay when optimizer is 'sgd', 'adam', or 'adamw'. Must be
+         a float in the range[0, 1].
+        :vartype weight_decay: float
+        :ivar training_crop_size: Image crop size that is input to the neural network for the training
+         dataset. Must be a positive integer.
+        :vartype training_crop_size: int
+        :ivar validation_crop_size: Image crop size that is input to the neural network for the
+         validation dataset. Must be a positive integer.
+        :vartype validation_crop_size: int
+        :ivar validation_resize_size: Image size to which to resize before cropping for validation
+         dataset. Must be a positive integer.
+        :vartype validation_resize_size: int
+        :ivar weighted_loss: Weighted loss. The accepted values are 0 for no weighted loss.
+         1 for weighted loss with sqrt.(class_weights). 2 for weighted loss with class_weights. Must be
+         0 or 1 or 2.
+        :vartype weighted_loss: int
+    """
+
+    _attribute_map = {
+        "advanced_settings": {"key": "advancedSettings", "type": "str"},
+        "ams_gradient": {"key": "amsGradient", "type": "bool"},
+        "augmentations": {"key": "augmentations", "type": "str"},
+        "beta1": {"key": "beta1", "type": "float"},
+        "beta2": {"key": "beta2", "type": "float"},
+        "checkpoint_frequency": {"key": "checkpointFrequency", "type": "int"},
+        "checkpoint_model": {"key": "checkpointModel", "type": "MLFlowModelJobInput"},
+        "checkpoint_run_id": {"key": "checkpointRunId", "type": "str"},
+        "distributed": {"key": "distributed", "type": "bool"},
+        "early_stopping": {"key": "earlyStopping", "type": "bool"},
+        "early_stopping_delay": {"key": "earlyStoppingDelay", "type": "int"},
+        "early_stopping_patience": {"key": "earlyStoppingPatience", "type": "int"},
+        "enable_onnx_normalization": {"key": "enableOnnxNormalization", "type": "bool"},
+        "evaluation_frequency": {"key": "evaluationFrequency", "type": "int"},
+        "gradient_accumulation_step": {"key": "gradientAccumulationStep", "type": "int"},
+        "layers_to_freeze": {"key": "layersToFreeze", "type": "int"},
+        "learning_rate": {"key": "learningRate", "type": "float"},
+        "learning_rate_scheduler": {"key": "learningRateScheduler", "type": "str"},
+        "model_name": {"key": "modelName", "type": "str"},
+        "momentum": {"key": "momentum", "type": "float"},
+        "nesterov": {"key": "nesterov", "type": "bool"},
+        "number_of_epochs": {"key": "numberOfEpochs", "type": "int"},
+        "number_of_workers": {"key": "numberOfWorkers", "type": "int"},
+        "optimizer": {"key": "optimizer", "type": "str"},
+        "random_seed": {"key": "randomSeed", "type": "int"},
+        "step_lr_gamma": {"key": "stepLRGamma", "type": "float"},
+        "step_lr_step_size": {"key": "stepLRStepSize", "type": "int"},
+        "training_batch_size": {"key": "trainingBatchSize", "type": "int"},
+        "validation_batch_size": {"key": "validationBatchSize", "type": "int"},
+        "warmup_cosine_lr_cycles": {"key": "warmupCosineLRCycles", "type": "float"},
+        "warmup_cosine_lr_warmup_epochs": {"key": "warmupCosineLRWarmupEpochs", "type": "int"},
+        "weight_decay": {"key": "weightDecay", "type": "float"},
+        "training_crop_size": {"key": "trainingCropSize", "type": "int"},
+        "validation_crop_size": {"key": "validationCropSize", "type": "int"},
+        "validation_resize_size": {"key": "validationResizeSize", "type": "int"},
+        "weighted_loss": {"key": "weightedLoss", "type": "int"},
+    }
+
+    def __init__(self, **kwargs):
         """
         :keyword advanced_settings: Settings for advanced scenarios.
         :paramtype advanced_settings: str
@@ -18426,222 +17455,219 @@ def __init__(
         :paramtype weighted_loss: int
         """
         super(ImageModelSettingsClassification, self).__init__(**kwargs)
-        self.training_crop_size = kwargs.get('training_crop_size', None)
-        self.validation_crop_size = kwargs.get('validation_crop_size', None)
-        self.validation_resize_size = kwargs.get('validation_resize_size', None)
-        self.weighted_loss = kwargs.get('weighted_loss', None)
+        self.training_crop_size = kwargs.get("training_crop_size", None)
+        self.validation_crop_size = kwargs.get("validation_crop_size", None)
+        self.validation_resize_size = kwargs.get("validation_resize_size", None)
+        self.weighted_loss = kwargs.get("weighted_loss", None)
 
 
-class ImageModelSettingsObjectDetection(ImageModelSettings):
-    """Settings used for training the model.
-For more information on the available settings please visit the official documentation:
-https://docs.microsoft.com/en-us/azure/machine-learning/how-to-auto-train-image-models.
-
-    :ivar advanced_settings: Settings for advanced scenarios.
-    :vartype advanced_settings: str
-    :ivar ams_gradient: Enable AMSGrad when optimizer is 'adam' or 'adamw'.
-    :vartype ams_gradient: bool
-    :ivar augmentations: Settings for using Augmentations.
-    :vartype augmentations: str
-    :ivar beta1: Value of 'beta1' when optimizer is 'adam' or 'adamw'. Must be a float in the range
-     [0, 1].
-    :vartype beta1: float
-    :ivar beta2: Value of 'beta2' when optimizer is 'adam' or 'adamw'. Must be a float in the range
-     [0, 1].
-    :vartype beta2: float
-    :ivar checkpoint_frequency: Frequency to store model checkpoints. Must be a positive integer.
-    :vartype checkpoint_frequency: int
-    :ivar checkpoint_model: The pretrained checkpoint model for incremental training.
-    :vartype checkpoint_model: ~azure.mgmt.machinelearningservices.models.MLFlowModelJobInput
-    :ivar checkpoint_run_id: The id of a previous run that has a pretrained checkpoint for
-     incremental training.
-    :vartype checkpoint_run_id: str
-    :ivar distributed: Whether to use distributed training.
-    :vartype distributed: bool
-    :ivar early_stopping: Enable early stopping logic during training.
-    :vartype early_stopping: bool
-    :ivar early_stopping_delay: Minimum number of epochs or validation evaluations to wait before
-     primary metric improvement
-     is tracked for early stopping. Must be a positive integer.
-    :vartype early_stopping_delay: int
-    :ivar early_stopping_patience: Minimum number of epochs or validation evaluations with no
-     primary metric improvement before
-     the run is stopped. Must be a positive integer.
-    :vartype early_stopping_patience: int
-    :ivar enable_onnx_normalization: Enable normalization when exporting ONNX model.
-    :vartype enable_onnx_normalization: bool
-    :ivar evaluation_frequency: Frequency to evaluate validation dataset to get metric scores. Must
-     be a positive integer.
-    :vartype evaluation_frequency: int
-    :ivar gradient_accumulation_step: Gradient accumulation means running a configured number of
-     "GradAccumulationStep" steps without
-     updating the model weights while accumulating the gradients of those steps, and then using
-     the accumulated gradients to compute the weight updates. Must be a positive integer.
-    :vartype gradient_accumulation_step: int
-    :ivar layers_to_freeze: Number of layers to freeze for the model. Must be a positive integer.
-     For instance, passing 2 as value for 'seresnext' means
-     freezing layer0 and layer1. For a full list of models supported and details on layer freeze,
-     please
-     see: https://docs.microsoft.com/en-us/azure/machine-learning/how-to-auto-train-image-models.
-    :vartype layers_to_freeze: int
-    :ivar learning_rate: Initial learning rate. Must be a float in the range [0, 1].
-    :vartype learning_rate: float
-    :ivar learning_rate_scheduler: Type of learning rate scheduler. Must be 'warmup_cosine' or
-     'step'. Possible values include: "None", "WarmupCosine", "Step".
-    :vartype learning_rate_scheduler: str or
-     ~azure.mgmt.machinelearningservices.models.LearningRateScheduler
-    :ivar model_name: Name of the model to use for training.
-     For more information on the available models please visit the official documentation:
-     https://docs.microsoft.com/en-us/azure/machine-learning/how-to-auto-train-image-models.
-    :vartype model_name: str
-    :ivar momentum: Value of momentum when optimizer is 'sgd'. Must be a float in the range [0, 1].
-    :vartype momentum: float
-    :ivar nesterov: Enable nesterov when optimizer is 'sgd'.
-    :vartype nesterov: bool
-    :ivar number_of_epochs: Number of training epochs. Must be a positive integer.
-    :vartype number_of_epochs: int
-    :ivar number_of_workers: Number of data loader workers. Must be a non-negative integer.
-    :vartype number_of_workers: int
-    :ivar optimizer: Type of optimizer. Possible values include: "None", "Sgd", "Adam", "Adamw".
-    :vartype optimizer: str or ~azure.mgmt.machinelearningservices.models.StochasticOptimizer
-    :ivar random_seed: Random seed to be used when using deterministic training.
-    :vartype random_seed: int
-    :ivar step_lr_gamma: Value of gamma when learning rate scheduler is 'step'. Must be a float in
-     the range [0, 1].
-    :vartype step_lr_gamma: float
-    :ivar step_lr_step_size: Value of step size when learning rate scheduler is 'step'. Must be a
-     positive integer.
-    :vartype step_lr_step_size: int
-    :ivar training_batch_size: Training batch size. Must be a positive integer.
-    :vartype training_batch_size: int
-    :ivar validation_batch_size: Validation batch size. Must be a positive integer.
-    :vartype validation_batch_size: int
-    :ivar warmup_cosine_lr_cycles: Value of cosine cycle when learning rate scheduler is
-     'warmup_cosine'. Must be a float in the range [0, 1].
-    :vartype warmup_cosine_lr_cycles: float
-    :ivar warmup_cosine_lr_warmup_epochs: Value of warmup epochs when learning rate scheduler is
-     'warmup_cosine'. Must be a positive integer.
-    :vartype warmup_cosine_lr_warmup_epochs: int
-    :ivar weight_decay: Value of weight decay when optimizer is 'sgd', 'adam', or 'adamw'. Must be
-     a float in the range[0, 1].
-    :vartype weight_decay: float
-    :ivar box_detections_per_image: Maximum number of detections per image, for all classes. Must
-     be a positive integer.
-     Note: This settings is not supported for the 'yolov5' algorithm.
-    :vartype box_detections_per_image: int
-    :ivar box_score_threshold: During inference, only return proposals with a classification score
-     greater than
-     BoxScoreThreshold. Must be a float in the range[0, 1].
-    :vartype box_score_threshold: float
-    :ivar image_size: Image size for train and validation. Must be a positive integer.
-     Note: The training run may get into CUDA OOM if the size is too big.
-     Note: This settings is only supported for the 'yolov5' algorithm.
-    :vartype image_size: int
-    :ivar log_training_metrics: Enable computing and logging training metrics. Possible values
-     include: "Enable", "Disable".
-    :vartype log_training_metrics: str or
-     ~azure.mgmt.machinelearningservices.models.LogTrainingMetrics
-    :ivar log_validation_loss: Enable computing and logging validation loss. Possible values
-     include: "Enable", "Disable".
-    :vartype log_validation_loss: str or
-     ~azure.mgmt.machinelearningservices.models.LogValidationLoss
-    :ivar max_size: Maximum size of the image to be rescaled before feeding it to the backbone.
-     Must be a positive integer. Note: training run may get into CUDA OOM if the size is too big.
-     Note: This settings is not supported for the 'yolov5' algorithm.
-    :vartype max_size: int
-    :ivar min_size: Minimum size of the image to be rescaled before feeding it to the backbone.
-     Must be a positive integer. Note: training run may get into CUDA OOM if the size is too big.
-     Note: This settings is not supported for the 'yolov5' algorithm.
-    :vartype min_size: int
-    :ivar model_size: Model size. Must be 'small', 'medium', 'large', or 'xlarge'.
-     Note: training run may get into CUDA OOM if the model size is too big.
-     Note: This settings is only supported for the 'yolov5' algorithm. Possible values include:
-     "None", "Small", "Medium", "Large", "ExtraLarge".
-    :vartype model_size: str or ~azure.mgmt.machinelearningservices.models.ModelSize
-    :ivar multi_scale: Enable multi-scale image by varying image size by +/- 50%.
-     Note: training run may get into CUDA OOM if no sufficient GPU memory.
-     Note: This settings is only supported for the 'yolov5' algorithm.
-    :vartype multi_scale: bool
-    :ivar nms_iou_threshold: IOU threshold used during inference in NMS post processing. Must be a
-     float in the range [0, 1].
-    :vartype nms_iou_threshold: float
-    :ivar tile_grid_size: The grid size to use for tiling each image. Note: TileGridSize must not
-     be
-     None to enable small object detection logic. A string containing two integers in mxn format.
-     Note: This settings is not supported for the 'yolov5' algorithm.
-    :vartype tile_grid_size: str
-    :ivar tile_overlap_ratio: Overlap ratio between adjacent tiles in each dimension. Must be float
-     in the range [0, 1).
-     Note: This settings is not supported for the 'yolov5' algorithm.
-    :vartype tile_overlap_ratio: float
-    :ivar tile_predictions_nms_threshold: The IOU threshold to use to perform NMS while merging
-     predictions from tiles and image.
-     Used in validation/ inference. Must be float in the range [0, 1].
-     Note: This settings is not supported for the 'yolov5' algorithm.
-    :vartype tile_predictions_nms_threshold: float
-    :ivar validation_iou_threshold: IOU threshold to use when computing validation metric. Must be
-     float in the range [0, 1].
-    :vartype validation_iou_threshold: float
-    :ivar validation_metric_type: Metric computation method to use for validation metrics. Possible
-     values include: "None", "Coco", "Voc", "CocoVoc".
-    :vartype validation_metric_type: str or
-     ~azure.mgmt.machinelearningservices.models.ValidationMetricType
-    """
-
-    _attribute_map = {
-        'advanced_settings': {'key': 'advancedSettings', 'type': 'str'},
-        'ams_gradient': {'key': 'amsGradient', 'type': 'bool'},
-        'augmentations': {'key': 'augmentations', 'type': 'str'},
-        'beta1': {'key': 'beta1', 'type': 'float'},
-        'beta2': {'key': 'beta2', 'type': 'float'},
-        'checkpoint_frequency': {'key': 'checkpointFrequency', 'type': 'int'},
-        'checkpoint_model': {'key': 'checkpointModel', 'type': 'MLFlowModelJobInput'},
-        'checkpoint_run_id': {'key': 'checkpointRunId', 'type': 'str'},
-        'distributed': {'key': 'distributed', 'type': 'bool'},
-        'early_stopping': {'key': 'earlyStopping', 'type': 'bool'},
-        'early_stopping_delay': {'key': 'earlyStoppingDelay', 'type': 'int'},
-        'early_stopping_patience': {'key': 'earlyStoppingPatience', 'type': 'int'},
-        'enable_onnx_normalization': {'key': 'enableOnnxNormalization', 'type': 'bool'},
-        'evaluation_frequency': {'key': 'evaluationFrequency', 'type': 'int'},
-        'gradient_accumulation_step': {'key': 'gradientAccumulationStep', 'type': 'int'},
-        'layers_to_freeze': {'key': 'layersToFreeze', 'type': 'int'},
-        'learning_rate': {'key': 'learningRate', 'type': 'float'},
-        'learning_rate_scheduler': {'key': 'learningRateScheduler', 'type': 'str'},
-        'model_name': {'key': 'modelName', 'type': 'str'},
-        'momentum': {'key': 'momentum', 'type': 'float'},
-        'nesterov': {'key': 'nesterov', 'type': 'bool'},
-        'number_of_epochs': {'key': 'numberOfEpochs', 'type': 'int'},
-        'number_of_workers': {'key': 'numberOfWorkers', 'type': 'int'},
-        'optimizer': {'key': 'optimizer', 'type': 'str'},
-        'random_seed': {'key': 'randomSeed', 'type': 'int'},
-        'step_lr_gamma': {'key': 'stepLRGamma', 'type': 'float'},
-        'step_lr_step_size': {'key': 'stepLRStepSize', 'type': 'int'},
-        'training_batch_size': {'key': 'trainingBatchSize', 'type': 'int'},
-        'validation_batch_size': {'key': 'validationBatchSize', 'type': 'int'},
-        'warmup_cosine_lr_cycles': {'key': 'warmupCosineLRCycles', 'type': 'float'},
-        'warmup_cosine_lr_warmup_epochs': {'key': 'warmupCosineLRWarmupEpochs', 'type': 'int'},
-        'weight_decay': {'key': 'weightDecay', 'type': 'float'},
-        'box_detections_per_image': {'key': 'boxDetectionsPerImage', 'type': 'int'},
-        'box_score_threshold': {'key': 'boxScoreThreshold', 'type': 'float'},
-        'image_size': {'key': 'imageSize', 'type': 'int'},
-        'log_training_metrics': {'key': 'logTrainingMetrics', 'type': 'str'},
-        'log_validation_loss': {'key': 'logValidationLoss', 'type': 'str'},
-        'max_size': {'key': 'maxSize', 'type': 'int'},
-        'min_size': {'key': 'minSize', 'type': 'int'},
-        'model_size': {'key': 'modelSize', 'type': 'str'},
-        'multi_scale': {'key': 'multiScale', 'type': 'bool'},
-        'nms_iou_threshold': {'key': 'nmsIouThreshold', 'type': 'float'},
-        'tile_grid_size': {'key': 'tileGridSize', 'type': 'str'},
-        'tile_overlap_ratio': {'key': 'tileOverlapRatio', 'type': 'float'},
-        'tile_predictions_nms_threshold': {'key': 'tilePredictionsNmsThreshold', 'type': 'float'},
-        'validation_iou_threshold': {'key': 'validationIouThreshold', 'type': 'float'},
-        'validation_metric_type': {'key': 'validationMetricType', 'type': 'str'},
-    }
-
-    def __init__(
-            self,
-            **kwargs
-    ):
+class ImageModelSettingsObjectDetection(ImageModelSettings):
+    """Settings used for training the model.
+    For more information on the available settings please visit the official documentation:
+    https://docs.microsoft.com/en-us/azure/machine-learning/how-to-auto-train-image-models.
+
+        :ivar advanced_settings: Settings for advanced scenarios.
+        :vartype advanced_settings: str
+        :ivar ams_gradient: Enable AMSGrad when optimizer is 'adam' or 'adamw'.
+        :vartype ams_gradient: bool
+        :ivar augmentations: Settings for using Augmentations.
+        :vartype augmentations: str
+        :ivar beta1: Value of 'beta1' when optimizer is 'adam' or 'adamw'. Must be a float in the range
+         [0, 1].
+        :vartype beta1: float
+        :ivar beta2: Value of 'beta2' when optimizer is 'adam' or 'adamw'. Must be a float in the range
+         [0, 1].
+        :vartype beta2: float
+        :ivar checkpoint_frequency: Frequency to store model checkpoints. Must be a positive integer.
+        :vartype checkpoint_frequency: int
+        :ivar checkpoint_model: The pretrained checkpoint model for incremental training.
+        :vartype checkpoint_model: ~azure.mgmt.machinelearningservices.models.MLFlowModelJobInput
+        :ivar checkpoint_run_id: The id of a previous run that has a pretrained checkpoint for
+         incremental training.
+        :vartype checkpoint_run_id: str
+        :ivar distributed: Whether to use distributed training.
+        :vartype distributed: bool
+        :ivar early_stopping: Enable early stopping logic during training.
+        :vartype early_stopping: bool
+        :ivar early_stopping_delay: Minimum number of epochs or validation evaluations to wait before
+         primary metric improvement
+         is tracked for early stopping. Must be a positive integer.
+        :vartype early_stopping_delay: int
+        :ivar early_stopping_patience: Minimum number of epochs or validation evaluations with no
+         primary metric improvement before
+         the run is stopped. Must be a positive integer.
+        :vartype early_stopping_patience: int
+        :ivar enable_onnx_normalization: Enable normalization when exporting ONNX model.
+        :vartype enable_onnx_normalization: bool
+        :ivar evaluation_frequency: Frequency to evaluate validation dataset to get metric scores. Must
+         be a positive integer.
+        :vartype evaluation_frequency: int
+        :ivar gradient_accumulation_step: Gradient accumulation means running a configured number of
+         "GradAccumulationStep" steps without
+         updating the model weights while accumulating the gradients of those steps, and then using
+         the accumulated gradients to compute the weight updates. Must be a positive integer.
+        :vartype gradient_accumulation_step: int
+        :ivar layers_to_freeze: Number of layers to freeze for the model. Must be a positive integer.
+         For instance, passing 2 as value for 'seresnext' means
+         freezing layer0 and layer1. For a full list of models supported and details on layer freeze,
+         please
+         see: https://docs.microsoft.com/en-us/azure/machine-learning/how-to-auto-train-image-models.
+        :vartype layers_to_freeze: int
+        :ivar learning_rate: Initial learning rate. Must be a float in the range [0, 1].
+        :vartype learning_rate: float
+        :ivar learning_rate_scheduler: Type of learning rate scheduler. Must be 'warmup_cosine' or
+         'step'. Possible values include: "None", "WarmupCosine", "Step".
+        :vartype learning_rate_scheduler: str or
+         ~azure.mgmt.machinelearningservices.models.LearningRateScheduler
+        :ivar model_name: Name of the model to use for training.
+         For more information on the available models please visit the official documentation:
+         https://docs.microsoft.com/en-us/azure/machine-learning/how-to-auto-train-image-models.
+        :vartype model_name: str
+        :ivar momentum: Value of momentum when optimizer is 'sgd'. Must be a float in the range [0, 1].
+        :vartype momentum: float
+        :ivar nesterov: Enable nesterov when optimizer is 'sgd'.
+        :vartype nesterov: bool
+        :ivar number_of_epochs: Number of training epochs. Must be a positive integer.
+        :vartype number_of_epochs: int
+        :ivar number_of_workers: Number of data loader workers. Must be a non-negative integer.
+        :vartype number_of_workers: int
+        :ivar optimizer: Type of optimizer. Possible values include: "None", "Sgd", "Adam", "Adamw".
+        :vartype optimizer: str or ~azure.mgmt.machinelearningservices.models.StochasticOptimizer
+        :ivar random_seed: Random seed to be used when using deterministic training.
+        :vartype random_seed: int
+        :ivar step_lr_gamma: Value of gamma when learning rate scheduler is 'step'. Must be a float in
+         the range [0, 1].
+        :vartype step_lr_gamma: float
+        :ivar step_lr_step_size: Value of step size when learning rate scheduler is 'step'. Must be a
+         positive integer.
+        :vartype step_lr_step_size: int
+        :ivar training_batch_size: Training batch size. Must be a positive integer.
+        :vartype training_batch_size: int
+        :ivar validation_batch_size: Validation batch size. Must be a positive integer.
+        :vartype validation_batch_size: int
+        :ivar warmup_cosine_lr_cycles: Value of cosine cycle when learning rate scheduler is
+         'warmup_cosine'. Must be a float in the range [0, 1].
+        :vartype warmup_cosine_lr_cycles: float
+        :ivar warmup_cosine_lr_warmup_epochs: Value of warmup epochs when learning rate scheduler is
+         'warmup_cosine'. Must be a positive integer.
+        :vartype warmup_cosine_lr_warmup_epochs: int
+        :ivar weight_decay: Value of weight decay when optimizer is 'sgd', 'adam', or 'adamw'. Must be
+         a float in the range[0, 1].
+        :vartype weight_decay: float
+        :ivar box_detections_per_image: Maximum number of detections per image, for all classes. Must
+         be a positive integer.
+         Note: This settings is not supported for the 'yolov5' algorithm.
+        :vartype box_detections_per_image: int
+        :ivar box_score_threshold: During inference, only return proposals with a classification score
+         greater than
+         BoxScoreThreshold. Must be a float in the range[0, 1].
+        :vartype box_score_threshold: float
+        :ivar image_size: Image size for train and validation. Must be a positive integer.
+         Note: The training run may get into CUDA OOM if the size is too big.
+         Note: This settings is only supported for the 'yolov5' algorithm.
+        :vartype image_size: int
+        :ivar log_training_metrics: Enable computing and logging training metrics. Possible values
+         include: "Enable", "Disable".
+        :vartype log_training_metrics: str or
+         ~azure.mgmt.machinelearningservices.models.LogTrainingMetrics
+        :ivar log_validation_loss: Enable computing and logging validation loss. Possible values
+         include: "Enable", "Disable".
+        :vartype log_validation_loss: str or
+         ~azure.mgmt.machinelearningservices.models.LogValidationLoss
+        :ivar max_size: Maximum size of the image to be rescaled before feeding it to the backbone.
+         Must be a positive integer. Note: training run may get into CUDA OOM if the size is too big.
+         Note: This settings is not supported for the 'yolov5' algorithm.
+        :vartype max_size: int
+        :ivar min_size: Minimum size of the image to be rescaled before feeding it to the backbone.
+         Must be a positive integer. Note: training run may get into CUDA OOM if the size is too big.
+         Note: This settings is not supported for the 'yolov5' algorithm.
+        :vartype min_size: int
+        :ivar model_size: Model size. Must be 'small', 'medium', 'large', or 'xlarge'.
+         Note: training run may get into CUDA OOM if the model size is too big.
+         Note: This settings is only supported for the 'yolov5' algorithm. Possible values include:
+         "None", "Small", "Medium", "Large", "ExtraLarge".
+        :vartype model_size: str or ~azure.mgmt.machinelearningservices.models.ModelSize
+        :ivar multi_scale: Enable multi-scale image by varying image size by +/- 50%.
+         Note: training run may get into CUDA OOM if no sufficient GPU memory.
+         Note: This settings is only supported for the 'yolov5' algorithm.
+        :vartype multi_scale: bool
+        :ivar nms_iou_threshold: IOU threshold used during inference in NMS post processing. Must be a
+         float in the range [0, 1].
+        :vartype nms_iou_threshold: float
+        :ivar tile_grid_size: The grid size to use for tiling each image. Note: TileGridSize must not
+         be
+         None to enable small object detection logic. A string containing two integers in mxn format.
+         Note: This settings is not supported for the 'yolov5' algorithm.
+        :vartype tile_grid_size: str
+        :ivar tile_overlap_ratio: Overlap ratio between adjacent tiles in each dimension. Must be float
+         in the range [0, 1).
+         Note: This settings is not supported for the 'yolov5' algorithm.
+        :vartype tile_overlap_ratio: float
+        :ivar tile_predictions_nms_threshold: The IOU threshold to use to perform NMS while merging
+         predictions from tiles and image.
+         Used in validation/ inference. Must be float in the range [0, 1].
+         Note: This settings is not supported for the 'yolov5' algorithm.
+        :vartype tile_predictions_nms_threshold: float
+        :ivar validation_iou_threshold: IOU threshold to use when computing validation metric. Must be
+         float in the range [0, 1].
+        :vartype validation_iou_threshold: float
+        :ivar validation_metric_type: Metric computation method to use for validation metrics. Possible
+         values include: "None", "Coco", "Voc", "CocoVoc".
+        :vartype validation_metric_type: str or
+         ~azure.mgmt.machinelearningservices.models.ValidationMetricType
+    """
+
+    _attribute_map = {
+        "advanced_settings": {"key": "advancedSettings", "type": "str"},
+        "ams_gradient": {"key": "amsGradient", "type": "bool"},
+        "augmentations": {"key": "augmentations", "type": "str"},
+        "beta1": {"key": "beta1", "type": "float"},
+        "beta2": {"key": "beta2", "type": "float"},
+        "checkpoint_frequency": {"key": "checkpointFrequency", "type": "int"},
+        "checkpoint_model": {"key": "checkpointModel", "type": "MLFlowModelJobInput"},
+        "checkpoint_run_id": {"key": "checkpointRunId", "type": "str"},
+        "distributed": {"key": "distributed", "type": "bool"},
+        "early_stopping": {"key": "earlyStopping", "type": "bool"},
+        "early_stopping_delay": {"key": "earlyStoppingDelay", "type": "int"},
+        "early_stopping_patience": {"key": "earlyStoppingPatience", "type": "int"},
+        "enable_onnx_normalization": {"key": "enableOnnxNormalization", "type": "bool"},
+        "evaluation_frequency": {"key": "evaluationFrequency", "type": "int"},
+        "gradient_accumulation_step": {"key": "gradientAccumulationStep", "type": "int"},
+        "layers_to_freeze": {"key": "layersToFreeze", "type": "int"},
+        "learning_rate": {"key": "learningRate", "type": "float"},
+        "learning_rate_scheduler": {"key": "learningRateScheduler", "type": "str"},
+        "model_name": {"key": "modelName", "type": "str"},
+        "momentum": {"key": "momentum", "type": "float"},
+        "nesterov": {"key": "nesterov", "type": "bool"},
+        "number_of_epochs": {"key": "numberOfEpochs", "type": "int"},
+        "number_of_workers": {"key": "numberOfWorkers", "type": "int"},
+        "optimizer": {"key": "optimizer", "type": "str"},
+        "random_seed": {"key": "randomSeed", "type": "int"},
+        "step_lr_gamma": {"key": "stepLRGamma", "type": "float"},
+        "step_lr_step_size": {"key": "stepLRStepSize", "type": "int"},
+        "training_batch_size": {"key": "trainingBatchSize", "type": "int"},
+        "validation_batch_size": {"key": "validationBatchSize", "type": "int"},
+        "warmup_cosine_lr_cycles": {"key": "warmupCosineLRCycles", "type": "float"},
+        "warmup_cosine_lr_warmup_epochs": {"key": "warmupCosineLRWarmupEpochs", "type": "int"},
+        "weight_decay": {"key": "weightDecay", "type": "float"},
+        "box_detections_per_image": {"key": "boxDetectionsPerImage", "type": "int"},
+        "box_score_threshold": {"key": "boxScoreThreshold", "type": "float"},
+        "image_size": {"key": "imageSize", "type": "int"},
+        "log_training_metrics": {"key": "logTrainingMetrics", "type": "str"},
+        "log_validation_loss": {"key": "logValidationLoss", "type": "str"},
+        "max_size": {"key": "maxSize", "type": "int"},
+        "min_size": {"key": "minSize", "type": "int"},
+        "model_size": {"key": "modelSize", "type": "str"},
+        "multi_scale": {"key": "multiScale", "type": "bool"},
+        "nms_iou_threshold": {"key": "nmsIouThreshold", "type": "float"},
+        "tile_grid_size": {"key": "tileGridSize", "type": "str"},
+        "tile_overlap_ratio": {"key": "tileOverlapRatio", "type": "float"},
+        "tile_predictions_nms_threshold": {"key": "tilePredictionsNmsThreshold", "type": "float"},
+        "validation_iou_threshold": {"key": "validationIouThreshold", "type": "float"},
+        "validation_metric_type": {"key": "validationMetricType", "type": "str"},
+    }
+
+    def __init__(self, **kwargs):
         """
         :keyword advanced_settings: Settings for advanced scenarios.
         :paramtype advanced_settings: str
@@ -18797,90 +17823,87 @@ def __init__(
          ~azure.mgmt.machinelearningservices.models.ValidationMetricType
         """
         super(ImageModelSettingsObjectDetection, self).__init__(**kwargs)
-        self.box_detections_per_image = kwargs.get('box_detections_per_image', None)
-        self.box_score_threshold = kwargs.get('box_score_threshold', None)
-        self.image_size = kwargs.get('image_size', None)
-        self.log_training_metrics = kwargs.get('log_training_metrics', None)
-        self.log_validation_loss = kwargs.get('log_validation_loss', None)
-        self.max_size = kwargs.get('max_size', None)
-        self.min_size = kwargs.get('min_size', None)
-        self.model_size = kwargs.get('model_size', None)
-        self.multi_scale = kwargs.get('multi_scale', None)
-        self.nms_iou_threshold = kwargs.get('nms_iou_threshold', None)
-        self.tile_grid_size = kwargs.get('tile_grid_size', None)
-        self.tile_overlap_ratio = kwargs.get('tile_overlap_ratio', None)
-        self.tile_predictions_nms_threshold = kwargs.get('tile_predictions_nms_threshold', None)
-        self.validation_iou_threshold = kwargs.get('validation_iou_threshold', None)
-        self.validation_metric_type = kwargs.get('validation_metric_type', None)
+        self.box_detections_per_image = kwargs.get("box_detections_per_image", None)
+        self.box_score_threshold = kwargs.get("box_score_threshold", None)
+        self.image_size = kwargs.get("image_size", None)
+        self.log_training_metrics = kwargs.get("log_training_metrics", None)
+        self.log_validation_loss = kwargs.get("log_validation_loss", None)
+        self.max_size = kwargs.get("max_size", None)
+        self.min_size = kwargs.get("min_size", None)
+        self.model_size = kwargs.get("model_size", None)
+        self.multi_scale = kwargs.get("multi_scale", None)
+        self.nms_iou_threshold = kwargs.get("nms_iou_threshold", None)
+        self.tile_grid_size = kwargs.get("tile_grid_size", None)
+        self.tile_overlap_ratio = kwargs.get("tile_overlap_ratio", None)
+        self.tile_predictions_nms_threshold = kwargs.get("tile_predictions_nms_threshold", None)
+        self.validation_iou_threshold = kwargs.get("validation_iou_threshold", None)
+        self.validation_metric_type = kwargs.get("validation_metric_type", None)
 
 
 class ImageObjectDetection(AutoMLVertical, ImageObjectDetectionBase):
     """Image Object Detection. Object detection is used to identify objects in an image and locate each object with a
-bounding box e.g. locate all dogs and cats in an image and draw a bounding box around each.
+    bounding box e.g. locate all dogs and cats in an image and draw a bounding box around each.
 
-    All required parameters must be populated in order to send to Azure.
+        All required parameters must be populated in order to send to Azure.
 
-    :ivar limit_settings: Required. [Required] Limit settings for the AutoML job.
-    :vartype limit_settings: ~azure.mgmt.machinelearningservices.models.ImageLimitSettings
-    :ivar sweep_settings: Model sweeping and hyperparameter sweeping related settings.
-    :vartype sweep_settings: ~azure.mgmt.machinelearningservices.models.ImageSweepSettings
-    :ivar validation_data: Validation data inputs.
-    :vartype validation_data: ~azure.mgmt.machinelearningservices.models.MLTableJobInput
-    :ivar validation_data_size: The fraction of training dataset that needs to be set aside for
-     validation purpose.
-     Values between (0.0 , 1.0)
-     Applied when validation dataset is not provided.
-    :vartype validation_data_size: float
-    :ivar model_settings: Settings used for training the model.
-    :vartype model_settings:
-     ~azure.mgmt.machinelearningservices.models.ImageModelSettingsObjectDetection
-    :ivar search_space: Search space for sampling different combinations of models and their
-     hyperparameters.
-    :vartype search_space:
-     list[~azure.mgmt.machinelearningservices.models.ImageModelDistributionSettingsObjectDetection]
-    :ivar log_verbosity: Log verbosity for the job. Possible values include: "NotSet", "Debug",
-     "Info", "Warning", "Error", "Critical".
-    :vartype log_verbosity: str or ~azure.mgmt.machinelearningservices.models.LogVerbosity
-    :ivar target_column_name: Target column name: This is prediction values column.
-     Also known as label column name in context of classification tasks.
-    :vartype target_column_name: str
-    :ivar task_type: Required. [Required] Task type for AutoMLJob.Constant filled by server.
-     Possible values include: "Classification", "Regression", "Forecasting", "ImageClassification",
-     "ImageClassificationMultilabel", "ImageObjectDetection", "ImageInstanceSegmentation",
-     "TextClassification", "TextClassificationMultilabel", "TextNER".
-    :vartype task_type: str or ~azure.mgmt.machinelearningservices.models.TaskType
-    :ivar training_data: Required. [Required] Training data input.
-    :vartype training_data: ~azure.mgmt.machinelearningservices.models.MLTableJobInput
-    :ivar primary_metric: Primary metric to optimize for this task. Possible values include:
-     "MeanAveragePrecision".
-    :vartype primary_metric: str or
-     ~azure.mgmt.machinelearningservices.models.ObjectDetectionPrimaryMetrics
+        :ivar limit_settings: Required. [Required] Limit settings for the AutoML job.
+        :vartype limit_settings: ~azure.mgmt.machinelearningservices.models.ImageLimitSettings
+        :ivar sweep_settings: Model sweeping and hyperparameter sweeping related settings.
+        :vartype sweep_settings: ~azure.mgmt.machinelearningservices.models.ImageSweepSettings
+        :ivar validation_data: Validation data inputs.
+        :vartype validation_data: ~azure.mgmt.machinelearningservices.models.MLTableJobInput
+        :ivar validation_data_size: The fraction of training dataset that needs to be set aside for
+         validation purpose.
+         Values between (0.0 , 1.0)
+         Applied when validation dataset is not provided.
+        :vartype validation_data_size: float
+        :ivar model_settings: Settings used for training the model.
+        :vartype model_settings:
+         ~azure.mgmt.machinelearningservices.models.ImageModelSettingsObjectDetection
+        :ivar search_space: Search space for sampling different combinations of models and their
+         hyperparameters.
+        :vartype search_space:
+         list[~azure.mgmt.machinelearningservices.models.ImageModelDistributionSettingsObjectDetection]
+        :ivar log_verbosity: Log verbosity for the job. Possible values include: "NotSet", "Debug",
+         "Info", "Warning", "Error", "Critical".
+        :vartype log_verbosity: str or ~azure.mgmt.machinelearningservices.models.LogVerbosity
+        :ivar target_column_name: Target column name: This is prediction values column.
+         Also known as label column name in context of classification tasks.
+        :vartype target_column_name: str
+        :ivar task_type: Required. [Required] Task type for AutoMLJob.Constant filled by server.
+         Possible values include: "Classification", "Regression", "Forecasting", "ImageClassification",
+         "ImageClassificationMultilabel", "ImageObjectDetection", "ImageInstanceSegmentation",
+         "TextClassification", "TextClassificationMultilabel", "TextNER".
+        :vartype task_type: str or ~azure.mgmt.machinelearningservices.models.TaskType
+        :ivar training_data: Required. [Required] Training data input.
+        :vartype training_data: ~azure.mgmt.machinelearningservices.models.MLTableJobInput
+        :ivar primary_metric: Primary metric to optimize for this task. Possible values include:
+         "MeanAveragePrecision".
+        :vartype primary_metric: str or
+         ~azure.mgmt.machinelearningservices.models.ObjectDetectionPrimaryMetrics
     """
 
     _validation = {
-        'limit_settings': {'required': True},
-        'task_type': {'required': True},
-        'training_data': {'required': True},
+        "limit_settings": {"required": True},
+        "task_type": {"required": True},
+        "training_data": {"required": True},
     }
 
     _attribute_map = {
-        'limit_settings': {'key': 'limitSettings', 'type': 'ImageLimitSettings'},
-        'sweep_settings': {'key': 'sweepSettings', 'type': 'ImageSweepSettings'},
-        'validation_data': {'key': 'validationData', 'type': 'MLTableJobInput'},
-        'validation_data_size': {'key': 'validationDataSize', 'type': 'float'},
-        'model_settings': {'key': 'modelSettings', 'type': 'ImageModelSettingsObjectDetection'},
-        'search_space': {'key': 'searchSpace', 'type': '[ImageModelDistributionSettingsObjectDetection]'},
-        'log_verbosity': {'key': 'logVerbosity', 'type': 'str'},
-        'target_column_name': {'key': 'targetColumnName', 'type': 'str'},
-        'task_type': {'key': 'taskType', 'type': 'str'},
-        'training_data': {'key': 'trainingData', 'type': 'MLTableJobInput'},
-        'primary_metric': {'key': 'primaryMetric', 'type': 'str'},
+        "limit_settings": {"key": "limitSettings", "type": "ImageLimitSettings"},
+        "sweep_settings": {"key": "sweepSettings", "type": "ImageSweepSettings"},
+        "validation_data": {"key": "validationData", "type": "MLTableJobInput"},
+        "validation_data_size": {"key": "validationDataSize", "type": "float"},
+        "model_settings": {"key": "modelSettings", "type": "ImageModelSettingsObjectDetection"},
+        "search_space": {"key": "searchSpace", "type": "[ImageModelDistributionSettingsObjectDetection]"},
+        "log_verbosity": {"key": "logVerbosity", "type": "str"},
+        "target_column_name": {"key": "targetColumnName", "type": "str"},
+        "task_type": {"key": "taskType", "type": "str"},
+        "training_data": {"key": "trainingData", "type": "MLTableJobInput"},
+        "primary_metric": {"key": "primaryMetric", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword limit_settings: Required. [Required] Limit settings for the AutoML job.
         :paramtype limit_settings: ~azure.mgmt.machinelearningservices.models.ImageLimitSettings
@@ -18914,17 +17937,17 @@ def __init__(
          ~azure.mgmt.machinelearningservices.models.ObjectDetectionPrimaryMetrics
         """
         super(ImageObjectDetection, self).__init__(**kwargs)
-        self.limit_settings = kwargs['limit_settings']
-        self.sweep_settings = kwargs.get('sweep_settings', None)
-        self.validation_data = kwargs.get('validation_data', None)
-        self.validation_data_size = kwargs.get('validation_data_size', None)
-        self.model_settings = kwargs.get('model_settings', None)
-        self.search_space = kwargs.get('search_space', None)
-        self.task_type = 'ImageObjectDetection'  # type: str
-        self.primary_metric = kwargs.get('primary_metric', None)
-        self.log_verbosity = kwargs.get('log_verbosity', None)
-        self.target_column_name = kwargs.get('target_column_name', None)
-        self.training_data = kwargs['training_data']
+        self.limit_settings = kwargs["limit_settings"]
+        self.sweep_settings = kwargs.get("sweep_settings", None)
+        self.validation_data = kwargs.get("validation_data", None)
+        self.validation_data_size = kwargs.get("validation_data_size", None)
+        self.model_settings = kwargs.get("model_settings", None)
+        self.search_space = kwargs.get("search_space", None)
+        self.task_type = "ImageObjectDetection"  # type: str
+        self.primary_metric = kwargs.get("primary_metric", None)
+        self.log_verbosity = kwargs.get("log_verbosity", None)
+        self.target_column_name = kwargs.get("target_column_name", None)
+        self.training_data = kwargs["training_data"]
 
 
 class ImageSweepSettings(msrest.serialization.Model):
@@ -18941,18 +17964,15 @@ class ImageSweepSettings(msrest.serialization.Model):
     """
 
     _validation = {
-        'sampling_algorithm': {'required': True},
+        "sampling_algorithm": {"required": True},
     }
 
     _attribute_map = {
-        'early_termination': {'key': 'earlyTermination', 'type': 'EarlyTerminationPolicy'},
-        'sampling_algorithm': {'key': 'samplingAlgorithm', 'type': 'str'},
+        "early_termination": {"key": "earlyTermination", "type": "EarlyTerminationPolicy"},
+        "sampling_algorithm": {"key": "samplingAlgorithm", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword early_termination: Type of early termination policy.
         :paramtype early_termination: ~azure.mgmt.machinelearningservices.models.EarlyTerminationPolicy
@@ -18962,8 +17982,8 @@ def __init__(
          ~azure.mgmt.machinelearningservices.models.SamplingAlgorithmType
         """
         super(ImageSweepSettings, self).__init__(**kwargs)
-        self.early_termination = kwargs.get('early_termination', None)
-        self.sampling_algorithm = kwargs['sampling_algorithm']
+        self.early_termination = kwargs.get("early_termination", None)
+        self.sampling_algorithm = kwargs["sampling_algorithm"]
 
 
 class ImportDataAction(ScheduleActionBase):
@@ -18980,27 +18000,24 @@ class ImportDataAction(ScheduleActionBase):
     """
 
     _validation = {
-        'action_type': {'required': True},
-        'data_import_definition': {'required': True},
+        "action_type": {"required": True},
+        "data_import_definition": {"required": True},
     }
 
     _attribute_map = {
-        'action_type': {'key': 'actionType', 'type': 'str'},
-        'data_import_definition': {'key': 'dataImportDefinition', 'type': 'DataImport'},
+        "action_type": {"key": "actionType", "type": "str"},
+        "data_import_definition": {"key": "dataImportDefinition", "type": "DataImport"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword data_import_definition: Required. [Required] Defines Schedule action definition
          details.
         :paramtype data_import_definition: ~azure.mgmt.machinelearningservices.models.DataImport
         """
         super(ImportDataAction, self).__init__(**kwargs)
-        self.action_type = 'ImportData'  # type: str
-        self.data_import_definition = kwargs['data_import_definition']
+        self.action_type = "ImportData"  # type: str
+        self.data_import_definition = kwargs["data_import_definition"]
 
 
 class IndexColumn(msrest.serialization.Model):
@@ -19014,14 +18031,11 @@ class IndexColumn(msrest.serialization.Model):
     """
 
     _attribute_map = {
-        'column_name': {'key': 'columnName', 'type': 'str'},
-        'data_type': {'key': 'dataType', 'type': 'str'},
+        "column_name": {"key": "columnName", "type": "str"},
+        "data_type": {"key": "dataType", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword column_name: Specifies the column name.
         :paramtype column_name: str
@@ -19030,8 +18044,8 @@ def __init__(
         :paramtype data_type: str or ~azure.mgmt.machinelearningservices.models.FeatureDataType
         """
         super(IndexColumn, self).__init__(**kwargs)
-        self.column_name = kwargs.get('column_name', None)
-        self.data_type = kwargs.get('data_type', None)
+        self.column_name = kwargs.get("column_name", None)
+        self.data_type = kwargs.get("data_type", None)
 
 
 class InferenceContainerProperties(msrest.serialization.Model):
@@ -19047,15 +18061,12 @@ class InferenceContainerProperties(msrest.serialization.Model):
     """
 
     _attribute_map = {
-        'liveness_route': {'key': 'livenessRoute', 'type': 'Route'},
-        'readiness_route': {'key': 'readinessRoute', 'type': 'Route'},
-        'scoring_route': {'key': 'scoringRoute', 'type': 'Route'},
+        "liveness_route": {"key": "livenessRoute", "type": "Route"},
+        "readiness_route": {"key": "readinessRoute", "type": "Route"},
+        "scoring_route": {"key": "scoringRoute", "type": "Route"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword liveness_route: The route to check the liveness of the inference server container.
         :paramtype liveness_route: ~azure.mgmt.machinelearningservices.models.Route
@@ -19066,9 +18077,9 @@ def __init__(
         :paramtype scoring_route: ~azure.mgmt.machinelearningservices.models.Route
         """
         super(InferenceContainerProperties, self).__init__(**kwargs)
-        self.liveness_route = kwargs.get('liveness_route', None)
-        self.readiness_route = kwargs.get('readiness_route', None)
-        self.scoring_route = kwargs.get('scoring_route', None)
+        self.liveness_route = kwargs.get("liveness_route", None)
+        self.readiness_route = kwargs.get("readiness_route", None)
+        self.scoring_route = kwargs.get("scoring_route", None)
 
 
 class InferenceEndpoint(TrackedResource):
@@ -19105,31 +18116,28 @@ class InferenceEndpoint(TrackedResource):
     """
 
     _validation = {
-        'id': {'readonly': True},
-        'name': {'readonly': True},
-        'type': {'readonly': True},
-        'system_data': {'readonly': True},
-        'location': {'required': True},
-        'properties': {'required': True},
+        "id": {"readonly": True},
+        "name": {"readonly": True},
+        "type": {"readonly": True},
+        "system_data": {"readonly": True},
+        "location": {"required": True},
+        "properties": {"required": True},
     }
 
     _attribute_map = {
-        'id': {'key': 'id', 'type': 'str'},
-        'name': {'key': 'name', 'type': 'str'},
-        'type': {'key': 'type', 'type': 'str'},
-        'system_data': {'key': 'systemData', 'type': 'SystemData'},
-        'tags': {'key': 'tags', 'type': '{str}'},
-        'location': {'key': 'location', 'type': 'str'},
-        'identity': {'key': 'identity', 'type': 'ManagedServiceIdentity'},
-        'kind': {'key': 'kind', 'type': 'str'},
-        'properties': {'key': 'properties', 'type': 'InferenceEndpointProperties'},
-        'sku': {'key': 'sku', 'type': 'Sku'},
+        "id": {"key": "id", "type": "str"},
+        "name": {"key": "name", "type": "str"},
+        "type": {"key": "type", "type": "str"},
+        "system_data": {"key": "systemData", "type": "SystemData"},
+        "tags": {"key": "tags", "type": "{str}"},
+        "location": {"key": "location", "type": "str"},
+        "identity": {"key": "identity", "type": "ManagedServiceIdentity"},
+        "kind": {"key": "kind", "type": "str"},
+        "properties": {"key": "properties", "type": "InferenceEndpointProperties"},
+        "sku": {"key": "sku", "type": "Sku"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword tags: A set of tags. Resource tags.
         :paramtype tags: dict[str, str]
@@ -19146,10 +18154,10 @@ def __init__(
         :paramtype sku: ~azure.mgmt.machinelearningservices.models.Sku
         """
         super(InferenceEndpoint, self).__init__(**kwargs)
-        self.identity = kwargs.get('identity', None)
-        self.kind = kwargs.get('kind', None)
-        self.properties = kwargs['properties']
-        self.sku = kwargs.get('sku', None)
+        self.identity = kwargs.get("identity", None)
+        self.kind = kwargs.get("kind", None)
+        self.properties = kwargs["properties"]
+        self.sku = kwargs.get("sku", None)
 
 
 class PropertiesBase(msrest.serialization.Model):
@@ -19162,14 +18170,11 @@ class PropertiesBase(msrest.serialization.Model):
     """
 
     _attribute_map = {
-        'description': {'key': 'description', 'type': 'str'},
-        'properties': {'key': 'properties', 'type': '{str}'},
+        "description": {"key": "description", "type": "str"},
+        "properties": {"key": "properties", "type": "{str}"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword description: Description of the resource.
         :paramtype description: str
@@ -19177,8 +18182,8 @@ def __init__(
         :paramtype properties: dict[str, str]
         """
         super(PropertiesBase, self).__init__(**kwargs)
-        self.description = kwargs.get('description', None)
-        self.properties = kwargs.get('properties', None)
+        self.description = kwargs.get("description", None)
+        self.properties = kwargs.get("properties", None)
 
 
 class InferenceEndpointProperties(PropertiesBase):
@@ -19207,25 +18212,22 @@ class InferenceEndpointProperties(PropertiesBase):
     """
 
     _validation = {
-        'auth_mode': {'required': True},
-        'endpoint_uri': {'readonly': True},
-        'group_id': {'required': True, 'min_length': 1, 'pattern': r'[a-zA-Z0-9_]'},
-        'provisioning_state': {'readonly': True},
+        "auth_mode": {"required": True},
+        "endpoint_uri": {"readonly": True},
+        "group_id": {"required": True, "min_length": 1, "pattern": r"[a-zA-Z0-9_]"},
+        "provisioning_state": {"readonly": True},
     }
 
     _attribute_map = {
-        'description': {'key': 'description', 'type': 'str'},
-        'properties': {'key': 'properties', 'type': '{str}'},
-        'auth_mode': {'key': 'authMode', 'type': 'str'},
-        'endpoint_uri': {'key': 'endpointUri', 'type': 'str'},
-        'group_id': {'key': 'groupId', 'type': 'str'},
-        'provisioning_state': {'key': 'provisioningState', 'type': 'str'},
+        "description": {"key": "description", "type": "str"},
+        "properties": {"key": "properties", "type": "{str}"},
+        "auth_mode": {"key": "authMode", "type": "str"},
+        "endpoint_uri": {"key": "endpointUri", "type": "str"},
+        "group_id": {"key": "groupId", "type": "str"},
+        "provisioning_state": {"key": "provisioningState", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword description: Description of the resource.
         :paramtype description: str
@@ -19239,9 +18241,9 @@ def __init__(
         :paramtype group_id: str
         """
         super(InferenceEndpointProperties, self).__init__(**kwargs)
-        self.auth_mode = kwargs['auth_mode']
+        self.auth_mode = kwargs["auth_mode"]
         self.endpoint_uri = None
-        self.group_id = kwargs['group_id']
+        self.group_id = kwargs["group_id"]
         self.provisioning_state = None
 
 
@@ -19256,14 +18258,11 @@ class InferenceEndpointTrackedResourceArmPaginatedResult(msrest.serialization.Mo
     """
 
     _attribute_map = {
-        'next_link': {'key': 'nextLink', 'type': 'str'},
-        'value': {'key': 'value', 'type': '[InferenceEndpoint]'},
+        "next_link": {"key": "nextLink", "type": "str"},
+        "value": {"key": "value", "type": "[InferenceEndpoint]"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword next_link: The link to the next page of InferenceEndpoint objects. If null, there are
          no additional pages.
@@ -19272,8 +18271,8 @@ def __init__(
         :paramtype value: list[~azure.mgmt.machinelearningservices.models.InferenceEndpoint]
         """
         super(InferenceEndpointTrackedResourceArmPaginatedResult, self).__init__(**kwargs)
-        self.next_link = kwargs.get('next_link', None)
-        self.value = kwargs.get('value', None)
+        self.next_link = kwargs.get("next_link", None)
+        self.value = kwargs.get("value", None)
 
 
 class InferenceGroup(TrackedResource):
@@ -19310,31 +18309,28 @@ class InferenceGroup(TrackedResource):
     """
 
     _validation = {
-        'id': {'readonly': True},
-        'name': {'readonly': True},
-        'type': {'readonly': True},
-        'system_data': {'readonly': True},
-        'location': {'required': True},
-        'properties': {'required': True},
+        "id": {"readonly": True},
+        "name": {"readonly": True},
+        "type": {"readonly": True},
+        "system_data": {"readonly": True},
+        "location": {"required": True},
+        "properties": {"required": True},
     }
 
     _attribute_map = {
-        'id': {'key': 'id', 'type': 'str'},
-        'name': {'key': 'name', 'type': 'str'},
-        'type': {'key': 'type', 'type': 'str'},
-        'system_data': {'key': 'systemData', 'type': 'SystemData'},
-        'tags': {'key': 'tags', 'type': '{str}'},
-        'location': {'key': 'location', 'type': 'str'},
-        'identity': {'key': 'identity', 'type': 'ManagedServiceIdentity'},
-        'kind': {'key': 'kind', 'type': 'str'},
-        'properties': {'key': 'properties', 'type': 'InferenceGroupProperties'},
-        'sku': {'key': 'sku', 'type': 'Sku'},
+        "id": {"key": "id", "type": "str"},
+        "name": {"key": "name", "type": "str"},
+        "type": {"key": "type", "type": "str"},
+        "system_data": {"key": "systemData", "type": "SystemData"},
+        "tags": {"key": "tags", "type": "{str}"},
+        "location": {"key": "location", "type": "str"},
+        "identity": {"key": "identity", "type": "ManagedServiceIdentity"},
+        "kind": {"key": "kind", "type": "str"},
+        "properties": {"key": "properties", "type": "InferenceGroupProperties"},
+        "sku": {"key": "sku", "type": "Sku"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword tags: A set of tags. Resource tags.
         :paramtype tags: dict[str, str]
@@ -19351,10 +18347,10 @@ def __init__(
         :paramtype sku: ~azure.mgmt.machinelearningservices.models.Sku
         """
         super(InferenceGroup, self).__init__(**kwargs)
-        self.identity = kwargs.get('identity', None)
-        self.kind = kwargs.get('kind', None)
-        self.properties = kwargs['properties']
-        self.sku = kwargs.get('sku', None)
+        self.identity = kwargs.get("identity", None)
+        self.kind = kwargs.get("kind", None)
+        self.properties = kwargs["properties"]
+        self.sku = kwargs.get("sku", None)
 
 
 class InferenceGroupProperties(PropertiesBase):
@@ -19381,22 +18377,19 @@ class InferenceGroupProperties(PropertiesBase):
     """
 
     _validation = {
-        'provisioning_state': {'readonly': True},
+        "provisioning_state": {"readonly": True},
     }
 
     _attribute_map = {
-        'description': {'key': 'description', 'type': 'str'},
-        'properties': {'key': 'properties', 'type': '{str}'},
-        'bonus_extra_capacity': {'key': 'bonusExtraCapacity', 'type': 'int'},
-        'metadata': {'key': 'metadata', 'type': 'str'},
-        'priority': {'key': 'priority', 'type': 'int'},
-        'provisioning_state': {'key': 'provisioningState', 'type': 'str'},
+        "description": {"key": "description", "type": "str"},
+        "properties": {"key": "properties", "type": "{str}"},
+        "bonus_extra_capacity": {"key": "bonusExtraCapacity", "type": "int"},
+        "metadata": {"key": "metadata", "type": "str"},
+        "priority": {"key": "priority", "type": "int"},
+        "provisioning_state": {"key": "provisioningState", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword description: Description of the resource.
         :paramtype description: str
@@ -19412,9 +18405,9 @@ def __init__(
         :paramtype priority: int
         """
         super(InferenceGroupProperties, self).__init__(**kwargs)
-        self.bonus_extra_capacity = kwargs.get('bonus_extra_capacity', 0)
-        self.metadata = kwargs.get('metadata', None)
-        self.priority = kwargs.get('priority', 0)
+        self.bonus_extra_capacity = kwargs.get("bonus_extra_capacity", 0)
+        self.metadata = kwargs.get("metadata", None)
+        self.priority = kwargs.get("priority", 0)
         self.provisioning_state = None
 
 
@@ -19429,14 +18422,11 @@ class InferenceGroupTrackedResourceArmPaginatedResult(msrest.serialization.Model
     """
 
     _attribute_map = {
-        'next_link': {'key': 'nextLink', 'type': 'str'},
-        'value': {'key': 'value', 'type': '[InferenceGroup]'},
+        "next_link": {"key": "nextLink", "type": "str"},
+        "value": {"key": "value", "type": "[InferenceGroup]"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword next_link: The link to the next page of InferenceGroup objects. If null, there are no
          additional pages.
@@ -19445,8 +18435,8 @@ def __init__(
         :paramtype value: list[~azure.mgmt.machinelearningservices.models.InferenceGroup]
         """
         super(InferenceGroupTrackedResourceArmPaginatedResult, self).__init__(**kwargs)
-        self.next_link = kwargs.get('next_link', None)
-        self.value = kwargs.get('value', None)
+        self.next_link = kwargs.get("next_link", None)
+        self.value = kwargs.get("value", None)
 
 
 class InferencePool(TrackedResource):
@@ -19483,31 +18473,28 @@ class InferencePool(TrackedResource):
     """
 
     _validation = {
-        'id': {'readonly': True},
-        'name': {'readonly': True},
-        'type': {'readonly': True},
-        'system_data': {'readonly': True},
-        'location': {'required': True},
-        'properties': {'required': True},
+        "id": {"readonly": True},
+        "name": {"readonly": True},
+        "type": {"readonly": True},
+        "system_data": {"readonly": True},
+        "location": {"required": True},
+        "properties": {"required": True},
     }
 
     _attribute_map = {
-        'id': {'key': 'id', 'type': 'str'},
-        'name': {'key': 'name', 'type': 'str'},
-        'type': {'key': 'type', 'type': 'str'},
-        'system_data': {'key': 'systemData', 'type': 'SystemData'},
-        'tags': {'key': 'tags', 'type': '{str}'},
-        'location': {'key': 'location', 'type': 'str'},
-        'identity': {'key': 'identity', 'type': 'ManagedServiceIdentity'},
-        'kind': {'key': 'kind', 'type': 'str'},
-        'properties': {'key': 'properties', 'type': 'InferencePoolProperties'},
-        'sku': {'key': 'sku', 'type': 'Sku'},
+        "id": {"key": "id", "type": "str"},
+        "name": {"key": "name", "type": "str"},
+        "type": {"key": "type", "type": "str"},
+        "system_data": {"key": "systemData", "type": "SystemData"},
+        "tags": {"key": "tags", "type": "{str}"},
+        "location": {"key": "location", "type": "str"},
+        "identity": {"key": "identity", "type": "ManagedServiceIdentity"},
+        "kind": {"key": "kind", "type": "str"},
+        "properties": {"key": "properties", "type": "InferencePoolProperties"},
+        "sku": {"key": "sku", "type": "Sku"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword tags: A set of tags. Resource tags.
         :paramtype tags: dict[str, str]
@@ -19524,10 +18511,10 @@ def __init__(
         :paramtype sku: ~azure.mgmt.machinelearningservices.models.Sku
         """
         super(InferencePool, self).__init__(**kwargs)
-        self.identity = kwargs.get('identity', None)
-        self.kind = kwargs.get('kind', None)
-        self.properties = kwargs['properties']
-        self.sku = kwargs.get('sku', None)
+        self.identity = kwargs.get("identity", None)
+        self.kind = kwargs.get("kind", None)
+        self.properties = kwargs["properties"]
+        self.sku = kwargs.get("sku", None)
 
 
 class InferencePoolProperties(PropertiesBase):
@@ -19559,25 +18546,22 @@ class InferencePoolProperties(PropertiesBase):
     """
 
     _validation = {
-        'node_sku_type': {'required': True, 'min_length': 1, 'pattern': r'[a-zA-Z0-9_]'},
-        'provisioning_state': {'readonly': True},
+        "node_sku_type": {"required": True, "min_length": 1, "pattern": r"[a-zA-Z0-9_]"},
+        "provisioning_state": {"readonly": True},
     }
 
     _attribute_map = {
-        'description': {'key': 'description', 'type': 'str'},
-        'properties': {'key': 'properties', 'type': '{str}'},
-        'code_configuration': {'key': 'codeConfiguration', 'type': 'CodeConfiguration'},
-        'environment_configuration': {'key': 'environmentConfiguration', 'type': 'PoolEnvironmentConfiguration'},
-        'model_configuration': {'key': 'modelConfiguration', 'type': 'PoolModelConfiguration'},
-        'node_sku_type': {'key': 'nodeSkuType', 'type': 'str'},
-        'provisioning_state': {'key': 'provisioningState', 'type': 'str'},
-        'request_configuration': {'key': 'requestConfiguration', 'type': 'RequestConfiguration'},
+        "description": {"key": "description", "type": "str"},
+        "properties": {"key": "properties", "type": "{str}"},
+        "code_configuration": {"key": "codeConfiguration", "type": "CodeConfiguration"},
+        "environment_configuration": {"key": "environmentConfiguration", "type": "PoolEnvironmentConfiguration"},
+        "model_configuration": {"key": "modelConfiguration", "type": "PoolModelConfiguration"},
+        "node_sku_type": {"key": "nodeSkuType", "type": "str"},
+        "provisioning_state": {"key": "provisioningState", "type": "str"},
+        "request_configuration": {"key": "requestConfiguration", "type": "RequestConfiguration"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword description: Description of the resource.
         :paramtype description: str
@@ -19598,12 +18582,12 @@ def __init__(
          ~azure.mgmt.machinelearningservices.models.RequestConfiguration
         """
         super(InferencePoolProperties, self).__init__(**kwargs)
-        self.code_configuration = kwargs.get('code_configuration', None)
-        self.environment_configuration = kwargs.get('environment_configuration', None)
-        self.model_configuration = kwargs.get('model_configuration', None)
-        self.node_sku_type = kwargs['node_sku_type']
+        self.code_configuration = kwargs.get("code_configuration", None)
+        self.environment_configuration = kwargs.get("environment_configuration", None)
+        self.model_configuration = kwargs.get("model_configuration", None)
+        self.node_sku_type = kwargs["node_sku_type"]
         self.provisioning_state = None
-        self.request_configuration = kwargs.get('request_configuration', None)
+        self.request_configuration = kwargs.get("request_configuration", None)
 
 
 class InferencePoolTrackedResourceArmPaginatedResult(msrest.serialization.Model):
@@ -19617,14 +18601,11 @@ class InferencePoolTrackedResourceArmPaginatedResult(msrest.serialization.Model)
     """
 
     _attribute_map = {
-        'next_link': {'key': 'nextLink', 'type': 'str'},
-        'value': {'key': 'value', 'type': '[InferencePool]'},
+        "next_link": {"key": "nextLink", "type": "str"},
+        "value": {"key": "value", "type": "[InferencePool]"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword next_link: The link to the next page of InferencePool objects. If null, there are no
          additional pages.
@@ -19633,8 +18614,8 @@ def __init__(
         :paramtype value: list[~azure.mgmt.machinelearningservices.models.InferencePool]
         """
         super(InferencePoolTrackedResourceArmPaginatedResult, self).__init__(**kwargs)
-        self.next_link = kwargs.get('next_link', None)
-        self.value = kwargs.get('value', None)
+        self.next_link = kwargs.get("next_link", None)
+        self.value = kwargs.get("value", None)
 
 
 class InstanceTypeSchema(msrest.serialization.Model):
@@ -19647,14 +18628,11 @@ class InstanceTypeSchema(msrest.serialization.Model):
     """
 
     _attribute_map = {
-        'node_selector': {'key': 'nodeSelector', 'type': '{str}'},
-        'resources': {'key': 'resources', 'type': 'InstanceTypeSchemaResources'},
+        "node_selector": {"key": "nodeSelector", "type": "{str}"},
+        "resources": {"key": "resources", "type": "InstanceTypeSchemaResources"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword node_selector: Node Selector.
         :paramtype node_selector: dict[str, str]
@@ -19662,8 +18640,8 @@ def __init__(
         :paramtype resources: ~azure.mgmt.machinelearningservices.models.InstanceTypeSchemaResources
         """
         super(InstanceTypeSchema, self).__init__(**kwargs)
-        self.node_selector = kwargs.get('node_selector', None)
-        self.resources = kwargs.get('resources', None)
+        self.node_selector = kwargs.get("node_selector", None)
+        self.resources = kwargs.get("resources", None)
 
 
 class InstanceTypeSchemaResources(msrest.serialization.Model):
@@ -19676,14 +18654,11 @@ class InstanceTypeSchemaResources(msrest.serialization.Model):
     """
 
     _attribute_map = {
-        'requests': {'key': 'requests', 'type': '{str}'},
-        'limits': {'key': 'limits', 'type': '{str}'},
+        "requests": {"key": "requests", "type": "{str}"},
+        "limits": {"key": "limits", "type": "{str}"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword requests: Resource requests for this instance type.
         :paramtype requests: dict[str, str]
@@ -19691,8 +18666,8 @@ def __init__(
         :paramtype limits: dict[str, str]
         """
         super(InstanceTypeSchemaResources, self).__init__(**kwargs)
-        self.requests = kwargs.get('requests', None)
-        self.limits = kwargs.get('limits', None)
+        self.requests = kwargs.get("requests", None)
+        self.limits = kwargs.get("limits", None)
 
 
 class IntellectualProperty(msrest.serialization.Model):
@@ -19709,18 +18684,15 @@ class IntellectualProperty(msrest.serialization.Model):
     """
 
     _validation = {
-        'publisher': {'required': True, 'min_length': 1, 'pattern': r'[a-zA-Z0-9_]'},
+        "publisher": {"required": True, "min_length": 1, "pattern": r"[a-zA-Z0-9_]"},
     }
 
     _attribute_map = {
-        'protection_level': {'key': 'protectionLevel', 'type': 'str'},
-        'publisher': {'key': 'publisher', 'type': 'str'},
+        "protection_level": {"key": "protectionLevel", "type": "str"},
+        "publisher": {"key": "publisher", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword protection_level: Protection level of the Intellectual Property. Possible values
          include: "All", "None".
@@ -19730,8 +18702,8 @@ def __init__(
         :paramtype publisher: str
         """
         super(IntellectualProperty, self).__init__(**kwargs)
-        self.protection_level = kwargs.get('protection_level', None)
-        self.publisher = kwargs['publisher']
+        self.protection_level = kwargs.get("protection_level", None)
+        self.publisher = kwargs["publisher"]
 
 
 class JobBase(ProxyResource):
@@ -19757,31 +18729,28 @@ class JobBase(ProxyResource):
     """
 
     _validation = {
-        'id': {'readonly': True},
-        'name': {'readonly': True},
-        'type': {'readonly': True},
-        'system_data': {'readonly': True},
-        'properties': {'required': True},
+        "id": {"readonly": True},
+        "name": {"readonly": True},
+        "type": {"readonly": True},
+        "system_data": {"readonly": True},
+        "properties": {"required": True},
     }
 
     _attribute_map = {
-        'id': {'key': 'id', 'type': 'str'},
-        'name': {'key': 'name', 'type': 'str'},
-        'type': {'key': 'type', 'type': 'str'},
-        'system_data': {'key': 'systemData', 'type': 'SystemData'},
-        'properties': {'key': 'properties', 'type': 'JobBaseProperties'},
+        "id": {"key": "id", "type": "str"},
+        "name": {"key": "name", "type": "str"},
+        "type": {"key": "type", "type": "str"},
+        "system_data": {"key": "systemData", "type": "SystemData"},
+        "properties": {"key": "properties", "type": "JobBaseProperties"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword properties: Required. [Required] Additional attributes of the entity.
         :paramtype properties: ~azure.mgmt.machinelearningservices.models.JobBaseProperties
         """
         super(JobBase, self).__init__(**kwargs)
-        self.properties = kwargs['properties']
+        self.properties = kwargs["properties"]
 
 
 class JobBaseResourceArmPaginatedResult(msrest.serialization.Model):
@@ -19795,14 +18764,11 @@ class JobBaseResourceArmPaginatedResult(msrest.serialization.Model):
     """
 
     _attribute_map = {
-        'next_link': {'key': 'nextLink', 'type': 'str'},
-        'value': {'key': 'value', 'type': '[JobBase]'},
+        "next_link": {"key": "nextLink", "type": "str"},
+        "value": {"key": "value", "type": "[JobBase]"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword next_link: The link to the next page of JobBase objects. If null, there are no
          additional pages.
@@ -19811,8 +18777,8 @@ def __init__(
         :paramtype value: list[~azure.mgmt.machinelearningservices.models.JobBase]
         """
         super(JobBaseResourceArmPaginatedResult, self).__init__(**kwargs)
-        self.next_link = kwargs.get('next_link', None)
-        self.value = kwargs.get('value', None)
+        self.next_link = kwargs.get("next_link", None)
+        self.value = kwargs.get("value", None)
 
 
 class JobResourceConfiguration(ResourceConfiguration):
@@ -19841,23 +18807,20 @@ class JobResourceConfiguration(ResourceConfiguration):
     """
 
     _validation = {
-        'shm_size': {'pattern': r'\d+[bBkKmMgG]'},
+        "shm_size": {"pattern": r"\d+[bBkKmMgG]"},
     }
 
     _attribute_map = {
-        'instance_count': {'key': 'instanceCount', 'type': 'int'},
-        'instance_type': {'key': 'instanceType', 'type': 'str'},
-        'locations': {'key': 'locations', 'type': '[str]'},
-        'max_instance_count': {'key': 'maxInstanceCount', 'type': 'int'},
-        'properties': {'key': 'properties', 'type': '{object}'},
-        'docker_args': {'key': 'dockerArgs', 'type': 'str'},
-        'shm_size': {'key': 'shmSize', 'type': 'str'},
+        "instance_count": {"key": "instanceCount", "type": "int"},
+        "instance_type": {"key": "instanceType", "type": "str"},
+        "locations": {"key": "locations", "type": "[str]"},
+        "max_instance_count": {"key": "maxInstanceCount", "type": "int"},
+        "properties": {"key": "properties", "type": "{object}"},
+        "docker_args": {"key": "dockerArgs", "type": "str"},
+        "shm_size": {"key": "shmSize", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword instance_count: Optional number of instances or nodes used by the compute target.
         :paramtype instance_count: int
@@ -19881,8 +18844,8 @@ def __init__(
         :paramtype shm_size: str
         """
         super(JobResourceConfiguration, self).__init__(**kwargs)
-        self.docker_args = kwargs.get('docker_args', None)
-        self.shm_size = kwargs.get('shm_size', "2g")
+        self.docker_args = kwargs.get("docker_args", None)
+        self.shm_size = kwargs.get("shm_size", "2g")
 
 
 class JobScheduleAction(ScheduleActionBase):
@@ -19899,26 +18862,23 @@ class JobScheduleAction(ScheduleActionBase):
     """
 
     _validation = {
-        'action_type': {'required': True},
-        'job_definition': {'required': True},
+        "action_type": {"required": True},
+        "job_definition": {"required": True},
     }
 
     _attribute_map = {
-        'action_type': {'key': 'actionType', 'type': 'str'},
-        'job_definition': {'key': 'jobDefinition', 'type': 'JobBaseProperties'},
+        "action_type": {"key": "actionType", "type": "str"},
+        "job_definition": {"key": "jobDefinition", "type": "JobBaseProperties"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword job_definition: Required. [Required] Defines Schedule action definition details.
         :paramtype job_definition: ~azure.mgmt.machinelearningservices.models.JobBaseProperties
         """
         super(JobScheduleAction, self).__init__(**kwargs)
-        self.action_type = 'CreateJob'  # type: str
-        self.job_definition = kwargs['job_definition']
+        self.action_type = "CreateJob"  # type: str
+        self.job_definition = kwargs["job_definition"]
 
 
 class JobService(msrest.serialization.Model):
@@ -19944,24 +18904,21 @@ class JobService(msrest.serialization.Model):
     """
 
     _validation = {
-        'error_message': {'readonly': True},
-        'status': {'readonly': True},
+        "error_message": {"readonly": True},
+        "status": {"readonly": True},
     }
 
     _attribute_map = {
-        'endpoint': {'key': 'endpoint', 'type': 'str'},
-        'error_message': {'key': 'errorMessage', 'type': 'str'},
-        'job_service_type': {'key': 'jobServiceType', 'type': 'str'},
-        'nodes': {'key': 'nodes', 'type': 'Nodes'},
-        'port': {'key': 'port', 'type': 'int'},
-        'properties': {'key': 'properties', 'type': '{str}'},
-        'status': {'key': 'status', 'type': 'str'},
+        "endpoint": {"key": "endpoint", "type": "str"},
+        "error_message": {"key": "errorMessage", "type": "str"},
+        "job_service_type": {"key": "jobServiceType", "type": "str"},
+        "nodes": {"key": "nodes", "type": "Nodes"},
+        "port": {"key": "port", "type": "int"},
+        "properties": {"key": "properties", "type": "{str}"},
+        "status": {"key": "status", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword endpoint: Url for endpoint.
         :paramtype endpoint: str
@@ -19976,12 +18933,12 @@ def __init__(
         :paramtype properties: dict[str, str]
         """
         super(JobService, self).__init__(**kwargs)
-        self.endpoint = kwargs.get('endpoint', None)
+        self.endpoint = kwargs.get("endpoint", None)
         self.error_message = None
-        self.job_service_type = kwargs.get('job_service_type', None)
-        self.nodes = kwargs.get('nodes', None)
-        self.port = kwargs.get('port', None)
-        self.properties = kwargs.get('properties', None)
+        self.job_service_type = kwargs.get("job_service_type", None)
+        self.nodes = kwargs.get("nodes", None)
+        self.port = kwargs.get("port", None)
+        self.properties = kwargs.get("properties", None)
         self.status = None
 
 
@@ -19997,15 +18954,12 @@ class JupyterKernelConfig(msrest.serialization.Model):
     """
 
     _attribute_map = {
-        'argv': {'key': 'argv', 'type': '[str]'},
-        'display_name': {'key': 'displayName', 'type': 'str'},
-        'language': {'key': 'language', 'type': 'str'},
+        "argv": {"key": "argv", "type": "[str]"},
+        "display_name": {"key": "displayName", "type": "str"},
+        "language": {"key": "language", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword argv: Argument to the the runtime.
         :paramtype argv: list[str]
@@ -20015,9 +18969,9 @@ def __init__(
         :paramtype language: str
         """
         super(JupyterKernelConfig, self).__init__(**kwargs)
-        self.argv = kwargs.get('argv', None)
-        self.display_name = kwargs.get('display_name', None)
-        self.language = kwargs.get('language', None)
+        self.argv = kwargs.get("argv", None)
+        self.display_name = kwargs.get("display_name", None)
+        self.language = kwargs.get("language", None)
 
 
 class KerberosCredentials(msrest.serialization.Model):
@@ -20035,21 +18989,18 @@ class KerberosCredentials(msrest.serialization.Model):
     """
 
     _validation = {
-        'kerberos_kdc_address': {'required': True, 'min_length': 1, 'pattern': r'[a-zA-Z0-9_]'},
-        'kerberos_principal': {'required': True, 'min_length': 1, 'pattern': r'[a-zA-Z0-9_]'},
-        'kerberos_realm': {'required': True, 'min_length': 1, 'pattern': r'[a-zA-Z0-9_]'},
+        "kerberos_kdc_address": {"required": True, "min_length": 1, "pattern": r"[a-zA-Z0-9_]"},
+        "kerberos_principal": {"required": True, "min_length": 1, "pattern": r"[a-zA-Z0-9_]"},
+        "kerberos_realm": {"required": True, "min_length": 1, "pattern": r"[a-zA-Z0-9_]"},
     }
 
     _attribute_map = {
-        'kerberos_kdc_address': {'key': 'kerberosKdcAddress', 'type': 'str'},
-        'kerberos_principal': {'key': 'kerberosPrincipal', 'type': 'str'},
-        'kerberos_realm': {'key': 'kerberosRealm', 'type': 'str'},
+        "kerberos_kdc_address": {"key": "kerberosKdcAddress", "type": "str"},
+        "kerberos_principal": {"key": "kerberosPrincipal", "type": "str"},
+        "kerberos_realm": {"key": "kerberosRealm", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword kerberos_kdc_address: Required. [Required] IP Address or DNS HostName.
         :paramtype kerberos_kdc_address: str
@@ -20060,9 +19011,9 @@ def __init__(
         :paramtype kerberos_realm: str
         """
         super(KerberosCredentials, self).__init__(**kwargs)
-        self.kerberos_kdc_address = kwargs['kerberos_kdc_address']
-        self.kerberos_principal = kwargs['kerberos_principal']
-        self.kerberos_realm = kwargs['kerberos_realm']
+        self.kerberos_kdc_address = kwargs["kerberos_kdc_address"]
+        self.kerberos_principal = kwargs["kerberos_principal"]
+        self.kerberos_realm = kwargs["kerberos_realm"]
 
 
 class KerberosKeytabCredentials(DatastoreCredentials, KerberosCredentials):
@@ -20086,25 +19037,22 @@ class KerberosKeytabCredentials(DatastoreCredentials, KerberosCredentials):
     """
 
     _validation = {
-        'kerberos_kdc_address': {'required': True, 'min_length': 1, 'pattern': r'[a-zA-Z0-9_]'},
-        'kerberos_principal': {'required': True, 'min_length': 1, 'pattern': r'[a-zA-Z0-9_]'},
-        'kerberos_realm': {'required': True, 'min_length': 1, 'pattern': r'[a-zA-Z0-9_]'},
-        'credentials_type': {'required': True},
-        'secrets': {'required': True},
+        "kerberos_kdc_address": {"required": True, "min_length": 1, "pattern": r"[a-zA-Z0-9_]"},
+        "kerberos_principal": {"required": True, "min_length": 1, "pattern": r"[a-zA-Z0-9_]"},
+        "kerberos_realm": {"required": True, "min_length": 1, "pattern": r"[a-zA-Z0-9_]"},
+        "credentials_type": {"required": True},
+        "secrets": {"required": True},
     }
 
     _attribute_map = {
-        'kerberos_kdc_address': {'key': 'kerberosKdcAddress', 'type': 'str'},
-        'kerberos_principal': {'key': 'kerberosPrincipal', 'type': 'str'},
-        'kerberos_realm': {'key': 'kerberosRealm', 'type': 'str'},
-        'credentials_type': {'key': 'credentialsType', 'type': 'str'},
-        'secrets': {'key': 'secrets', 'type': 'KerberosKeytabSecrets'},
+        "kerberos_kdc_address": {"key": "kerberosKdcAddress", "type": "str"},
+        "kerberos_principal": {"key": "kerberosPrincipal", "type": "str"},
+        "kerberos_realm": {"key": "kerberosRealm", "type": "str"},
+        "credentials_type": {"key": "credentialsType", "type": "str"},
+        "secrets": {"key": "secrets", "type": "KerberosKeytabSecrets"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword kerberos_kdc_address: Required. [Required] IP Address or DNS HostName.
         :paramtype kerberos_kdc_address: str
@@ -20117,11 +19065,11 @@ def __init__(
         :paramtype secrets: ~azure.mgmt.machinelearningservices.models.KerberosKeytabSecrets
         """
         super(KerberosKeytabCredentials, self).__init__(**kwargs)
-        self.kerberos_kdc_address = kwargs['kerberos_kdc_address']
-        self.kerberos_principal = kwargs['kerberos_principal']
-        self.kerberos_realm = kwargs['kerberos_realm']
-        self.credentials_type = 'KerberosKeytab'  # type: str
-        self.secrets = kwargs['secrets']
+        self.kerberos_kdc_address = kwargs["kerberos_kdc_address"]
+        self.kerberos_principal = kwargs["kerberos_principal"]
+        self.kerberos_realm = kwargs["kerberos_realm"]
+        self.credentials_type = "KerberosKeytab"  # type: str
+        self.secrets = kwargs["secrets"]
 
 
 class KerberosKeytabSecrets(DatastoreSecrets):
@@ -20138,25 +19086,22 @@ class KerberosKeytabSecrets(DatastoreSecrets):
     """
 
     _validation = {
-        'secrets_type': {'required': True},
+        "secrets_type": {"required": True},
     }
 
     _attribute_map = {
-        'secrets_type': {'key': 'secretsType', 'type': 'str'},
-        'kerberos_keytab': {'key': 'kerberosKeytab', 'type': 'str'},
+        "secrets_type": {"key": "secretsType", "type": "str"},
+        "kerberos_keytab": {"key": "kerberosKeytab", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword kerberos_keytab: Kerberos keytab secret.
         :paramtype kerberos_keytab: str
         """
         super(KerberosKeytabSecrets, self).__init__(**kwargs)
-        self.secrets_type = 'KerberosKeytab'  # type: str
-        self.kerberos_keytab = kwargs.get('kerberos_keytab', None)
+        self.secrets_type = "KerberosKeytab"  # type: str
+        self.kerberos_keytab = kwargs.get("kerberos_keytab", None)
 
 
 class KerberosPasswordCredentials(DatastoreCredentials, KerberosCredentials):
@@ -20180,25 +19125,22 @@ class KerberosPasswordCredentials(DatastoreCredentials, KerberosCredentials):
     """
 
     _validation = {
-        'kerberos_kdc_address': {'required': True, 'min_length': 1, 'pattern': r'[a-zA-Z0-9_]'},
-        'kerberos_principal': {'required': True, 'min_length': 1, 'pattern': r'[a-zA-Z0-9_]'},
-        'kerberos_realm': {'required': True, 'min_length': 1, 'pattern': r'[a-zA-Z0-9_]'},
-        'credentials_type': {'required': True},
-        'secrets': {'required': True},
+        "kerberos_kdc_address": {"required": True, "min_length": 1, "pattern": r"[a-zA-Z0-9_]"},
+        "kerberos_principal": {"required": True, "min_length": 1, "pattern": r"[a-zA-Z0-9_]"},
+        "kerberos_realm": {"required": True, "min_length": 1, "pattern": r"[a-zA-Z0-9_]"},
+        "credentials_type": {"required": True},
+        "secrets": {"required": True},
     }
 
     _attribute_map = {
-        'kerberos_kdc_address': {'key': 'kerberosKdcAddress', 'type': 'str'},
-        'kerberos_principal': {'key': 'kerberosPrincipal', 'type': 'str'},
-        'kerberos_realm': {'key': 'kerberosRealm', 'type': 'str'},
-        'credentials_type': {'key': 'credentialsType', 'type': 'str'},
-        'secrets': {'key': 'secrets', 'type': 'KerberosPasswordSecrets'},
+        "kerberos_kdc_address": {"key": "kerberosKdcAddress", "type": "str"},
+        "kerberos_principal": {"key": "kerberosPrincipal", "type": "str"},
+        "kerberos_realm": {"key": "kerberosRealm", "type": "str"},
+        "credentials_type": {"key": "credentialsType", "type": "str"},
+        "secrets": {"key": "secrets", "type": "KerberosPasswordSecrets"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword kerberos_kdc_address: Required. [Required] IP Address or DNS HostName.
         :paramtype kerberos_kdc_address: str
@@ -20211,11 +19153,11 @@ def __init__(
         :paramtype secrets: ~azure.mgmt.machinelearningservices.models.KerberosPasswordSecrets
         """
         super(KerberosPasswordCredentials, self).__init__(**kwargs)
-        self.kerberos_kdc_address = kwargs['kerberos_kdc_address']
-        self.kerberos_principal = kwargs['kerberos_principal']
-        self.kerberos_realm = kwargs['kerberos_realm']
-        self.credentials_type = 'KerberosPassword'  # type: str
-        self.secrets = kwargs['secrets']
+        self.kerberos_kdc_address = kwargs["kerberos_kdc_address"]
+        self.kerberos_principal = kwargs["kerberos_principal"]
+        self.kerberos_realm = kwargs["kerberos_realm"]
+        self.credentials_type = "KerberosPassword"  # type: str
+        self.secrets = kwargs["secrets"]
 
 
 class KerberosPasswordSecrets(DatastoreSecrets):
@@ -20232,25 +19174,22 @@ class KerberosPasswordSecrets(DatastoreSecrets):
     """
 
     _validation = {
-        'secrets_type': {'required': True},
+        "secrets_type": {"required": True},
     }
 
     _attribute_map = {
-        'secrets_type': {'key': 'secretsType', 'type': 'str'},
-        'kerberos_password': {'key': 'kerberosPassword', 'type': 'str'},
+        "secrets_type": {"key": "secretsType", "type": "str"},
+        "kerberos_password": {"key": "kerberosPassword", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword kerberos_password: Kerberos password secret.
         :paramtype kerberos_password: str
         """
         super(KerberosPasswordSecrets, self).__init__(**kwargs)
-        self.secrets_type = 'KerberosPassword'  # type: str
-        self.kerberos_password = kwargs.get('kerberos_password', None)
+        self.secrets_type = "KerberosPassword"  # type: str
+        self.kerberos_password = kwargs.get("kerberos_password", None)
 
 
 class KeyVaultProperties(msrest.serialization.Model):
@@ -20268,20 +19207,17 @@ class KeyVaultProperties(msrest.serialization.Model):
     """
 
     _validation = {
-        'key_identifier': {'required': True, 'min_length': 1, 'pattern': r'[a-zA-Z0-9_]'},
-        'key_vault_arm_id': {'required': True, 'min_length': 1, 'pattern': r'[a-zA-Z0-9_]'},
+        "key_identifier": {"required": True, "min_length": 1, "pattern": r"[a-zA-Z0-9_]"},
+        "key_vault_arm_id": {"required": True, "min_length": 1, "pattern": r"[a-zA-Z0-9_]"},
     }
 
     _attribute_map = {
-        'identity_client_id': {'key': 'identityClientId', 'type': 'str'},
-        'key_identifier': {'key': 'keyIdentifier', 'type': 'str'},
-        'key_vault_arm_id': {'key': 'keyVaultArmId', 'type': 'str'},
+        "identity_client_id": {"key": "identityClientId", "type": "str"},
+        "key_identifier": {"key": "keyIdentifier", "type": "str"},
+        "key_vault_arm_id": {"key": "keyVaultArmId", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword identity_client_id: Currently, we support only SystemAssigned MSI.
          We need this when we support UserAssignedIdentities.
@@ -20292,9 +19228,9 @@ def __init__(
         :paramtype key_vault_arm_id: str
         """
         super(KeyVaultProperties, self).__init__(**kwargs)
-        self.identity_client_id = kwargs.get('identity_client_id', None)
-        self.key_identifier = kwargs['key_identifier']
-        self.key_vault_arm_id = kwargs['key_vault_arm_id']
+        self.identity_client_id = kwargs.get("identity_client_id", None)
+        self.key_identifier = kwargs["key_identifier"]
+        self.key_vault_arm_id = kwargs["key_vault_arm_id"]
 
 
 class KubernetesSchema(msrest.serialization.Model):
@@ -20305,19 +19241,16 @@ class KubernetesSchema(msrest.serialization.Model):
     """
 
     _attribute_map = {
-        'properties': {'key': 'properties', 'type': 'KubernetesProperties'},
+        "properties": {"key": "properties", "type": "KubernetesProperties"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword properties: Properties of Kubernetes.
         :paramtype properties: ~azure.mgmt.machinelearningservices.models.KubernetesProperties
         """
         super(KubernetesSchema, self).__init__(**kwargs)
-        self.properties = kwargs.get('properties', None)
+        self.properties = kwargs.get("properties", None)
 
 
 class Kubernetes(Compute, KubernetesSchema):
@@ -20359,32 +19292,29 @@ class Kubernetes(Compute, KubernetesSchema):
     """
 
     _validation = {
-        'compute_type': {'required': True},
-        'provisioning_state': {'readonly': True},
-        'created_on': {'readonly': True},
-        'modified_on': {'readonly': True},
-        'provisioning_errors': {'readonly': True},
-        'is_attached_compute': {'readonly': True},
+        "compute_type": {"required": True},
+        "provisioning_state": {"readonly": True},
+        "created_on": {"readonly": True},
+        "modified_on": {"readonly": True},
+        "provisioning_errors": {"readonly": True},
+        "is_attached_compute": {"readonly": True},
     }
 
     _attribute_map = {
-        'properties': {'key': 'properties', 'type': 'KubernetesProperties'},
-        'compute_type': {'key': 'computeType', 'type': 'str'},
-        'compute_location': {'key': 'computeLocation', 'type': 'str'},
-        'provisioning_state': {'key': 'provisioningState', 'type': 'str'},
-        'description': {'key': 'description', 'type': 'str'},
-        'created_on': {'key': 'createdOn', 'type': 'iso-8601'},
-        'modified_on': {'key': 'modifiedOn', 'type': 'iso-8601'},
-        'resource_id': {'key': 'resourceId', 'type': 'str'},
-        'provisioning_errors': {'key': 'provisioningErrors', 'type': '[ErrorResponse]'},
-        'is_attached_compute': {'key': 'isAttachedCompute', 'type': 'bool'},
-        'disable_local_auth': {'key': 'disableLocalAuth', 'type': 'bool'},
+        "properties": {"key": "properties", "type": "KubernetesProperties"},
+        "compute_type": {"key": "computeType", "type": "str"},
+        "compute_location": {"key": "computeLocation", "type": "str"},
+        "provisioning_state": {"key": "provisioningState", "type": "str"},
+        "description": {"key": "description", "type": "str"},
+        "created_on": {"key": "createdOn", "type": "iso-8601"},
+        "modified_on": {"key": "modifiedOn", "type": "iso-8601"},
+        "resource_id": {"key": "resourceId", "type": "str"},
+        "provisioning_errors": {"key": "provisioningErrors", "type": "[ErrorResponse]"},
+        "is_attached_compute": {"key": "isAttachedCompute", "type": "bool"},
+        "disable_local_auth": {"key": "disableLocalAuth", "type": "bool"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword properties: Properties of Kubernetes.
         :paramtype properties: ~azure.mgmt.machinelearningservices.models.KubernetesProperties
@@ -20399,17 +19329,17 @@ def __init__(
         :paramtype disable_local_auth: bool
         """
         super(Kubernetes, self).__init__(**kwargs)
-        self.properties = kwargs.get('properties', None)
-        self.compute_type = 'Kubernetes'  # type: str
-        self.compute_location = kwargs.get('compute_location', None)
+        self.properties = kwargs.get("properties", None)
+        self.compute_type = "Kubernetes"  # type: str
+        self.compute_location = kwargs.get("compute_location", None)
         self.provisioning_state = None
-        self.description = kwargs.get('description', None)
+        self.description = kwargs.get("description", None)
         self.created_on = None
         self.modified_on = None
-        self.resource_id = kwargs.get('resource_id', None)
+        self.resource_id = kwargs.get("resource_id", None)
         self.provisioning_errors = None
         self.is_attached_compute = None
-        self.disable_local_auth = kwargs.get('disable_local_auth', None)
+        self.disable_local_auth = kwargs.get("disable_local_auth", None)
 
 
 class OnlineDeploymentProperties(EndpointDeploymentPropertiesBase):
@@ -20471,38 +19401,35 @@ class OnlineDeploymentProperties(EndpointDeploymentPropertiesBase):
     """
 
     _validation = {
-        'endpoint_compute_type': {'required': True},
-        'provisioning_state': {'readonly': True},
+        "endpoint_compute_type": {"required": True},
+        "provisioning_state": {"readonly": True},
     }
 
     _attribute_map = {
-        'code_configuration': {'key': 'codeConfiguration', 'type': 'CodeConfiguration'},
-        'description': {'key': 'description', 'type': 'str'},
-        'environment_id': {'key': 'environmentId', 'type': 'str'},
-        'environment_variables': {'key': 'environmentVariables', 'type': '{str}'},
-        'properties': {'key': 'properties', 'type': '{str}'},
-        'app_insights_enabled': {'key': 'appInsightsEnabled', 'type': 'bool'},
-        'data_collector': {'key': 'dataCollector', 'type': 'DataCollector'},
-        'egress_public_network_access': {'key': 'egressPublicNetworkAccess', 'type': 'str'},
-        'endpoint_compute_type': {'key': 'endpointComputeType', 'type': 'str'},
-        'instance_type': {'key': 'instanceType', 'type': 'str'},
-        'liveness_probe': {'key': 'livenessProbe', 'type': 'ProbeSettings'},
-        'model': {'key': 'model', 'type': 'str'},
-        'model_mount_path': {'key': 'modelMountPath', 'type': 'str'},
-        'provisioning_state': {'key': 'provisioningState', 'type': 'str'},
-        'readiness_probe': {'key': 'readinessProbe', 'type': 'ProbeSettings'},
-        'request_settings': {'key': 'requestSettings', 'type': 'OnlineRequestSettings'},
-        'scale_settings': {'key': 'scaleSettings', 'type': 'OnlineScaleSettings'},
+        "code_configuration": {"key": "codeConfiguration", "type": "CodeConfiguration"},
+        "description": {"key": "description", "type": "str"},
+        "environment_id": {"key": "environmentId", "type": "str"},
+        "environment_variables": {"key": "environmentVariables", "type": "{str}"},
+        "properties": {"key": "properties", "type": "{str}"},
+        "app_insights_enabled": {"key": "appInsightsEnabled", "type": "bool"},
+        "data_collector": {"key": "dataCollector", "type": "DataCollector"},
+        "egress_public_network_access": {"key": "egressPublicNetworkAccess", "type": "str"},
+        "endpoint_compute_type": {"key": "endpointComputeType", "type": "str"},
+        "instance_type": {"key": "instanceType", "type": "str"},
+        "liveness_probe": {"key": "livenessProbe", "type": "ProbeSettings"},
+        "model": {"key": "model", "type": "str"},
+        "model_mount_path": {"key": "modelMountPath", "type": "str"},
+        "provisioning_state": {"key": "provisioningState", "type": "str"},
+        "readiness_probe": {"key": "readinessProbe", "type": "ProbeSettings"},
+        "request_settings": {"key": "requestSettings", "type": "OnlineRequestSettings"},
+        "scale_settings": {"key": "scaleSettings", "type": "OnlineScaleSettings"},
     }
 
     _subtype_map = {
-        'endpoint_compute_type': {'Kubernetes': 'KubernetesOnlineDeployment', 'Managed': 'ManagedOnlineDeployment'}
+        "endpoint_compute_type": {"Kubernetes": "KubernetesOnlineDeployment", "Managed": "ManagedOnlineDeployment"}
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword code_configuration: Code configuration for the endpoint deployment.
         :paramtype code_configuration: ~azure.mgmt.machinelearningservices.models.CodeConfiguration
@@ -20544,18 +19471,18 @@ def __init__(
         :paramtype scale_settings: ~azure.mgmt.machinelearningservices.models.OnlineScaleSettings
         """
         super(OnlineDeploymentProperties, self).__init__(**kwargs)
-        self.app_insights_enabled = kwargs.get('app_insights_enabled', False)
-        self.data_collector = kwargs.get('data_collector', None)
-        self.egress_public_network_access = kwargs.get('egress_public_network_access', None)
-        self.endpoint_compute_type = 'OnlineDeploymentProperties'  # type: str
-        self.instance_type = kwargs.get('instance_type', None)
-        self.liveness_probe = kwargs.get('liveness_probe', None)
-        self.model = kwargs.get('model', None)
-        self.model_mount_path = kwargs.get('model_mount_path', None)
+        self.app_insights_enabled = kwargs.get("app_insights_enabled", False)
+        self.data_collector = kwargs.get("data_collector", None)
+        self.egress_public_network_access = kwargs.get("egress_public_network_access", None)
+        self.endpoint_compute_type = "OnlineDeploymentProperties"  # type: str
+        self.instance_type = kwargs.get("instance_type", None)
+        self.liveness_probe = kwargs.get("liveness_probe", None)
+        self.model = kwargs.get("model", None)
+        self.model_mount_path = kwargs.get("model_mount_path", None)
         self.provisioning_state = None
-        self.readiness_probe = kwargs.get('readiness_probe', None)
-        self.request_settings = kwargs.get('request_settings', None)
-        self.scale_settings = kwargs.get('scale_settings', None)
+        self.readiness_probe = kwargs.get("readiness_probe", None)
+        self.request_settings = kwargs.get("request_settings", None)
+        self.scale_settings = kwargs.get("scale_settings", None)
 
 
 class KubernetesOnlineDeployment(OnlineDeploymentProperties):
@@ -20618,36 +19545,35 @@ class KubernetesOnlineDeployment(OnlineDeploymentProperties):
     """
 
     _validation = {
-        'endpoint_compute_type': {'required': True},
-        'provisioning_state': {'readonly': True},
+        "endpoint_compute_type": {"required": True},
+        "provisioning_state": {"readonly": True},
     }
 
     _attribute_map = {
-        'code_configuration': {'key': 'codeConfiguration', 'type': 'CodeConfiguration'},
-        'description': {'key': 'description', 'type': 'str'},
-        'environment_id': {'key': 'environmentId', 'type': 'str'},
-        'environment_variables': {'key': 'environmentVariables', 'type': '{str}'},
-        'properties': {'key': 'properties', 'type': '{str}'},
-        'app_insights_enabled': {'key': 'appInsightsEnabled', 'type': 'bool'},
-        'data_collector': {'key': 'dataCollector', 'type': 'DataCollector'},
-        'egress_public_network_access': {'key': 'egressPublicNetworkAccess', 'type': 'str'},
-        'endpoint_compute_type': {'key': 'endpointComputeType', 'type': 'str'},
-        'instance_type': {'key': 'instanceType', 'type': 'str'},
-        'liveness_probe': {'key': 'livenessProbe', 'type': 'ProbeSettings'},
-        'model': {'key': 'model', 'type': 'str'},
-        'model_mount_path': {'key': 'modelMountPath', 'type': 'str'},
-        'provisioning_state': {'key': 'provisioningState', 'type': 'str'},
-        'readiness_probe': {'key': 'readinessProbe', 'type': 'ProbeSettings'},
-        'request_settings': {'key': 'requestSettings', 'type': 'OnlineRequestSettings'},
-        'scale_settings': {'key': 'scaleSettings', 'type': 'OnlineScaleSettings'},
-        'container_resource_requirements': {'key': 'containerResourceRequirements',
-                                            'type': 'ContainerResourceRequirements'},
+        "code_configuration": {"key": "codeConfiguration", "type": "CodeConfiguration"},
+        "description": {"key": "description", "type": "str"},
+        "environment_id": {"key": "environmentId", "type": "str"},
+        "environment_variables": {"key": "environmentVariables", "type": "{str}"},
+        "properties": {"key": "properties", "type": "{str}"},
+        "app_insights_enabled": {"key": "appInsightsEnabled", "type": "bool"},
+        "data_collector": {"key": "dataCollector", "type": "DataCollector"},
+        "egress_public_network_access": {"key": "egressPublicNetworkAccess", "type": "str"},
+        "endpoint_compute_type": {"key": "endpointComputeType", "type": "str"},
+        "instance_type": {"key": "instanceType", "type": "str"},
+        "liveness_probe": {"key": "livenessProbe", "type": "ProbeSettings"},
+        "model": {"key": "model", "type": "str"},
+        "model_mount_path": {"key": "modelMountPath", "type": "str"},
+        "provisioning_state": {"key": "provisioningState", "type": "str"},
+        "readiness_probe": {"key": "readinessProbe", "type": "ProbeSettings"},
+        "request_settings": {"key": "requestSettings", "type": "OnlineRequestSettings"},
+        "scale_settings": {"key": "scaleSettings", "type": "OnlineScaleSettings"},
+        "container_resource_requirements": {
+            "key": "containerResourceRequirements",
+            "type": "ContainerResourceRequirements",
+        },
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword code_configuration: Code configuration for the endpoint deployment.
         :paramtype code_configuration: ~azure.mgmt.machinelearningservices.models.CodeConfiguration
@@ -20693,8 +19619,8 @@ def __init__(
          ~azure.mgmt.machinelearningservices.models.ContainerResourceRequirements
         """
         super(KubernetesOnlineDeployment, self).__init__(**kwargs)
-        self.endpoint_compute_type = 'Kubernetes'  # type: str
-        self.container_resource_requirements = kwargs.get('container_resource_requirements', None)
+        self.endpoint_compute_type = "Kubernetes"  # type: str
+        self.container_resource_requirements = kwargs.get("container_resource_requirements", None)
 
 
 class KubernetesProperties(msrest.serialization.Model):
@@ -20720,20 +19646,17 @@ class KubernetesProperties(msrest.serialization.Model):
     """
 
     _attribute_map = {
-        'relay_connection_string': {'key': 'relayConnectionString', 'type': 'str'},
-        'service_bus_connection_string': {'key': 'serviceBusConnectionString', 'type': 'str'},
-        'extension_principal_id': {'key': 'extensionPrincipalId', 'type': 'str'},
-        'extension_instance_release_train': {'key': 'extensionInstanceReleaseTrain', 'type': 'str'},
-        'vc_name': {'key': 'vcName', 'type': 'str'},
-        'namespace': {'key': 'namespace', 'type': 'str'},
-        'default_instance_type': {'key': 'defaultInstanceType', 'type': 'str'},
-        'instance_types': {'key': 'instanceTypes', 'type': '{InstanceTypeSchema}'},
+        "relay_connection_string": {"key": "relayConnectionString", "type": "str"},
+        "service_bus_connection_string": {"key": "serviceBusConnectionString", "type": "str"},
+        "extension_principal_id": {"key": "extensionPrincipalId", "type": "str"},
+        "extension_instance_release_train": {"key": "extensionInstanceReleaseTrain", "type": "str"},
+        "vc_name": {"key": "vcName", "type": "str"},
+        "namespace": {"key": "namespace", "type": "str"},
+        "default_instance_type": {"key": "defaultInstanceType", "type": "str"},
+        "instance_types": {"key": "instanceTypes", "type": "{InstanceTypeSchema}"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword relay_connection_string: Relay connection string.
         :paramtype relay_connection_string: str
@@ -20754,14 +19677,14 @@ def __init__(
          ~azure.mgmt.machinelearningservices.models.InstanceTypeSchema]
         """
         super(KubernetesProperties, self).__init__(**kwargs)
-        self.relay_connection_string = kwargs.get('relay_connection_string', None)
-        self.service_bus_connection_string = kwargs.get('service_bus_connection_string', None)
-        self.extension_principal_id = kwargs.get('extension_principal_id', None)
-        self.extension_instance_release_train = kwargs.get('extension_instance_release_train', None)
-        self.vc_name = kwargs.get('vc_name', None)
-        self.namespace = kwargs.get('namespace', "default")
-        self.default_instance_type = kwargs.get('default_instance_type', None)
-        self.instance_types = kwargs.get('instance_types', None)
+        self.relay_connection_string = kwargs.get("relay_connection_string", None)
+        self.service_bus_connection_string = kwargs.get("service_bus_connection_string", None)
+        self.extension_principal_id = kwargs.get("extension_principal_id", None)
+        self.extension_instance_release_train = kwargs.get("extension_instance_release_train", None)
+        self.vc_name = kwargs.get("vc_name", None)
+        self.namespace = kwargs.get("namespace", "default")
+        self.default_instance_type = kwargs.get("default_instance_type", None)
+        self.instance_types = kwargs.get("instance_types", None)
 
 
 class LabelCategory(msrest.serialization.Model):
@@ -20777,15 +19700,12 @@ class LabelCategory(msrest.serialization.Model):
     """
 
     _attribute_map = {
-        'classes': {'key': 'classes', 'type': '{LabelClass}'},
-        'display_name': {'key': 'displayName', 'type': 'str'},
-        'multi_select': {'key': 'multiSelect', 'type': 'str'},
+        "classes": {"key": "classes", "type": "{LabelClass}"},
+        "display_name": {"key": "displayName", "type": "str"},
+        "multi_select": {"key": "multiSelect", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword classes: Dictionary of label classes in this category.
         :paramtype classes: dict[str, ~azure.mgmt.machinelearningservices.models.LabelClass]
@@ -20796,9 +19716,9 @@ def __init__(
         :paramtype multi_select: str or ~azure.mgmt.machinelearningservices.models.MultiSelect
         """
         super(LabelCategory, self).__init__(**kwargs)
-        self.classes = kwargs.get('classes', None)
-        self.display_name = kwargs.get('display_name', None)
-        self.multi_select = kwargs.get('multi_select', None)
+        self.classes = kwargs.get("classes", None)
+        self.display_name = kwargs.get("display_name", None)
+        self.multi_select = kwargs.get("multi_select", None)
 
 
 class LabelClass(msrest.serialization.Model):
@@ -20811,14 +19731,11 @@ class LabelClass(msrest.serialization.Model):
     """
 
     _attribute_map = {
-        'display_name': {'key': 'displayName', 'type': 'str'},
-        'subclasses': {'key': 'subclasses', 'type': '{LabelClass}'},
+        "display_name": {"key": "displayName", "type": "str"},
+        "subclasses": {"key": "subclasses", "type": "{LabelClass}"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword display_name: Display name of the label class.
         :paramtype display_name: str
@@ -20826,8 +19743,8 @@ def __init__(
         :paramtype subclasses: dict[str, ~azure.mgmt.machinelearningservices.models.LabelClass]
         """
         super(LabelClass, self).__init__(**kwargs)
-        self.display_name = kwargs.get('display_name', None)
-        self.subclasses = kwargs.get('subclasses', None)
+        self.display_name = kwargs.get("display_name", None)
+        self.subclasses = kwargs.get("subclasses", None)
 
 
 class LabelingDataConfiguration(msrest.serialization.Model):
@@ -20842,14 +19759,11 @@ class LabelingDataConfiguration(msrest.serialization.Model):
     """
 
     _attribute_map = {
-        'data_id': {'key': 'dataId', 'type': 'str'},
-        'incremental_data_refresh': {'key': 'incrementalDataRefresh', 'type': 'str'},
+        "data_id": {"key": "dataId", "type": "str"},
+        "incremental_data_refresh": {"key": "incrementalDataRefresh", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword data_id: Resource Id of the data asset to perform labeling.
         :paramtype data_id: str
@@ -20859,8 +19773,8 @@ def __init__(
          ~azure.mgmt.machinelearningservices.models.IncrementalDataRefresh
         """
         super(LabelingDataConfiguration, self).__init__(**kwargs)
-        self.data_id = kwargs.get('data_id', None)
-        self.incremental_data_refresh = kwargs.get('incremental_data_refresh', None)
+        self.data_id = kwargs.get("data_id", None)
+        self.incremental_data_refresh = kwargs.get("incremental_data_refresh", None)
 
 
 class LabelingJob(ProxyResource):
@@ -20886,31 +19800,28 @@ class LabelingJob(ProxyResource):
     """
 
     _validation = {
-        'id': {'readonly': True},
-        'name': {'readonly': True},
-        'type': {'readonly': True},
-        'system_data': {'readonly': True},
-        'properties': {'required': True},
+        "id": {"readonly": True},
+        "name": {"readonly": True},
+        "type": {"readonly": True},
+        "system_data": {"readonly": True},
+        "properties": {"required": True},
     }
 
     _attribute_map = {
-        'id': {'key': 'id', 'type': 'str'},
-        'name': {'key': 'name', 'type': 'str'},
-        'type': {'key': 'type', 'type': 'str'},
-        'system_data': {'key': 'systemData', 'type': 'SystemData'},
-        'properties': {'key': 'properties', 'type': 'LabelingJobProperties'},
+        "id": {"key": "id", "type": "str"},
+        "name": {"key": "name", "type": "str"},
+        "type": {"key": "type", "type": "str"},
+        "system_data": {"key": "systemData", "type": "SystemData"},
+        "properties": {"key": "properties", "type": "LabelingJobProperties"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword properties: Required. [Required] Additional attributes of the entity.
         :paramtype properties: ~azure.mgmt.machinelearningservices.models.LabelingJobProperties
         """
         super(LabelingJob, self).__init__(**kwargs)
-        self.properties = kwargs['properties']
+        self.properties = kwargs["properties"]
 
 
 class LabelingJobMediaProperties(msrest.serialization.Model):
@@ -20927,23 +19838,17 @@ class LabelingJobMediaProperties(msrest.serialization.Model):
     """
 
     _validation = {
-        'media_type': {'required': True},
+        "media_type": {"required": True},
     }
 
     _attribute_map = {
-        'media_type': {'key': 'mediaType', 'type': 'str'},
+        "media_type": {"key": "mediaType", "type": "str"},
     }
 
-    _subtype_map = {
-        'media_type': {'Image': 'LabelingJobImageProperties', 'Text': 'LabelingJobTextProperties'}
-    }
+    _subtype_map = {"media_type": {"Image": "LabelingJobImageProperties", "Text": "LabelingJobTextProperties"}}
 
-    def __init__(
-            self,
-            **kwargs
-    ):
-        """
-        """
+    def __init__(self, **kwargs):
+        """ """
         super(LabelingJobMediaProperties, self).__init__(**kwargs)
         self.media_type = None  # type: Optional[str]
 
@@ -20962,18 +19867,15 @@ class LabelingJobImageProperties(LabelingJobMediaProperties):
     """
 
     _validation = {
-        'media_type': {'required': True},
+        "media_type": {"required": True},
     }
 
     _attribute_map = {
-        'media_type': {'key': 'mediaType', 'type': 'str'},
-        'annotation_type': {'key': 'annotationType', 'type': 'str'},
+        "media_type": {"key": "mediaType", "type": "str"},
+        "annotation_type": {"key": "annotationType", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword annotation_type: Annotation type of image labeling job. Possible values include:
          "Classification", "BoundingBox", "InstanceSegmentation".
@@ -20981,8 +19883,8 @@ def __init__(
          ~azure.mgmt.machinelearningservices.models.ImageAnnotationType
         """
         super(LabelingJobImageProperties, self).__init__(**kwargs)
-        self.media_type = 'Image'  # type: str
-        self.annotation_type = kwargs.get('annotation_type', None)
+        self.media_type = "Image"  # type: str
+        self.annotation_type = kwargs.get("annotation_type", None)
 
 
 class LabelingJobInstructions(msrest.serialization.Model):
@@ -20993,19 +19895,16 @@ class LabelingJobInstructions(msrest.serialization.Model):
     """
 
     _attribute_map = {
-        'uri': {'key': 'uri', 'type': 'str'},
+        "uri": {"key": "uri", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword uri: The link to a page with detailed labeling instructions for labelers.
         :paramtype uri: str
         """
         super(LabelingJobInstructions, self).__init__(**kwargs)
-        self.uri = kwargs.get('uri', None)
+        self.uri = kwargs.get("uri", None)
 
 
 class LabelingJobProperties(JobBaseProperties):
@@ -21080,46 +19979,43 @@ class LabelingJobProperties(JobBaseProperties):
     """
 
     _validation = {
-        'job_type': {'required': True},
-        'status': {'readonly': True},
-        'created_date_time': {'readonly': True},
-        'progress_metrics': {'readonly': True},
-        'project_id': {'readonly': True},
-        'provisioning_state': {'readonly': True},
-        'status_messages': {'readonly': True},
-    }
-
-    _attribute_map = {
-        'description': {'key': 'description', 'type': 'str'},
-        'properties': {'key': 'properties', 'type': '{str}'},
-        'tags': {'key': 'tags', 'type': '{str}'},
-        'component_id': {'key': 'componentId', 'type': 'str'},
-        'compute_id': {'key': 'computeId', 'type': 'str'},
-        'display_name': {'key': 'displayName', 'type': 'str'},
-        'experiment_name': {'key': 'experimentName', 'type': 'str'},
-        'identity': {'key': 'identity', 'type': 'IdentityConfiguration'},
-        'is_archived': {'key': 'isArchived', 'type': 'bool'},
-        'job_type': {'key': 'jobType', 'type': 'str'},
-        'notification_setting': {'key': 'notificationSetting', 'type': 'NotificationSetting'},
-        'secrets_configuration': {'key': 'secretsConfiguration', 'type': '{SecretConfiguration}'},
-        'services': {'key': 'services', 'type': '{JobService}'},
-        'status': {'key': 'status', 'type': 'str'},
-        'created_date_time': {'key': 'createdDateTime', 'type': 'iso-8601'},
-        'data_configuration': {'key': 'dataConfiguration', 'type': 'LabelingDataConfiguration'},
-        'job_instructions': {'key': 'jobInstructions', 'type': 'LabelingJobInstructions'},
-        'label_categories': {'key': 'labelCategories', 'type': '{LabelCategory}'},
-        'labeling_job_media_properties': {'key': 'labelingJobMediaProperties', 'type': 'LabelingJobMediaProperties'},
-        'ml_assist_configuration': {'key': 'mlAssistConfiguration', 'type': 'MLAssistConfiguration'},
-        'progress_metrics': {'key': 'progressMetrics', 'type': 'ProgressMetrics'},
-        'project_id': {'key': 'projectId', 'type': 'str'},
-        'provisioning_state': {'key': 'provisioningState', 'type': 'str'},
-        'status_messages': {'key': 'statusMessages', 'type': '[StatusMessage]'},
-    }
-
-    def __init__(
-            self,
-            **kwargs
-    ):
+        "job_type": {"required": True},
+        "status": {"readonly": True},
+        "created_date_time": {"readonly": True},
+        "progress_metrics": {"readonly": True},
+        "project_id": {"readonly": True},
+        "provisioning_state": {"readonly": True},
+        "status_messages": {"readonly": True},
+    }
+
+    _attribute_map = {
+        "description": {"key": "description", "type": "str"},
+        "properties": {"key": "properties", "type": "{str}"},
+        "tags": {"key": "tags", "type": "{str}"},
+        "component_id": {"key": "componentId", "type": "str"},
+        "compute_id": {"key": "computeId", "type": "str"},
+        "display_name": {"key": "displayName", "type": "str"},
+        "experiment_name": {"key": "experimentName", "type": "str"},
+        "identity": {"key": "identity", "type": "IdentityConfiguration"},
+        "is_archived": {"key": "isArchived", "type": "bool"},
+        "job_type": {"key": "jobType", "type": "str"},
+        "notification_setting": {"key": "notificationSetting", "type": "NotificationSetting"},
+        "secrets_configuration": {"key": "secretsConfiguration", "type": "{SecretConfiguration}"},
+        "services": {"key": "services", "type": "{JobService}"},
+        "status": {"key": "status", "type": "str"},
+        "created_date_time": {"key": "createdDateTime", "type": "iso-8601"},
+        "data_configuration": {"key": "dataConfiguration", "type": "LabelingDataConfiguration"},
+        "job_instructions": {"key": "jobInstructions", "type": "LabelingJobInstructions"},
+        "label_categories": {"key": "labelCategories", "type": "{LabelCategory}"},
+        "labeling_job_media_properties": {"key": "labelingJobMediaProperties", "type": "LabelingJobMediaProperties"},
+        "ml_assist_configuration": {"key": "mlAssistConfiguration", "type": "MLAssistConfiguration"},
+        "progress_metrics": {"key": "progressMetrics", "type": "ProgressMetrics"},
+        "project_id": {"key": "projectId", "type": "str"},
+        "provisioning_state": {"key": "provisioningState", "type": "str"},
+        "status_messages": {"key": "statusMessages", "type": "[StatusMessage]"},
+    }
+
+    def __init__(self, **kwargs):
         """
         :keyword description: The asset description text.
         :paramtype description: str
@@ -21166,13 +20062,13 @@ def __init__(
          ~azure.mgmt.machinelearningservices.models.MLAssistConfiguration
         """
         super(LabelingJobProperties, self).__init__(**kwargs)
-        self.job_type = 'Labeling'  # type: str
+        self.job_type = "Labeling"  # type: str
         self.created_date_time = None
-        self.data_configuration = kwargs.get('data_configuration', None)
-        self.job_instructions = kwargs.get('job_instructions', None)
-        self.label_categories = kwargs.get('label_categories', None)
-        self.labeling_job_media_properties = kwargs.get('labeling_job_media_properties', None)
-        self.ml_assist_configuration = kwargs.get('ml_assist_configuration', None)
+        self.data_configuration = kwargs.get("data_configuration", None)
+        self.job_instructions = kwargs.get("job_instructions", None)
+        self.label_categories = kwargs.get("label_categories", None)
+        self.labeling_job_media_properties = kwargs.get("labeling_job_media_properties", None)
+        self.ml_assist_configuration = kwargs.get("ml_assist_configuration", None)
         self.progress_metrics = None
         self.project_id = None
         self.provisioning_state = None
@@ -21190,14 +20086,11 @@ class LabelingJobResourceArmPaginatedResult(msrest.serialization.Model):
     """
 
     _attribute_map = {
-        'next_link': {'key': 'nextLink', 'type': 'str'},
-        'value': {'key': 'value', 'type': '[LabelingJob]'},
+        "next_link": {"key": "nextLink", "type": "str"},
+        "value": {"key": "value", "type": "[LabelingJob]"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword next_link: The link to the next page of LabelingJob objects. If null, there are no
          additional pages.
@@ -21206,8 +20099,8 @@ def __init__(
         :paramtype value: list[~azure.mgmt.machinelearningservices.models.LabelingJob]
         """
         super(LabelingJobResourceArmPaginatedResult, self).__init__(**kwargs)
-        self.next_link = kwargs.get('next_link', None)
-        self.value = kwargs.get('value', None)
+        self.next_link = kwargs.get("next_link", None)
+        self.value = kwargs.get("value", None)
 
 
 class LabelingJobTextProperties(LabelingJobMediaProperties):
@@ -21224,18 +20117,15 @@ class LabelingJobTextProperties(LabelingJobMediaProperties):
     """
 
     _validation = {
-        'media_type': {'required': True},
+        "media_type": {"required": True},
     }
 
     _attribute_map = {
-        'media_type': {'key': 'mediaType', 'type': 'str'},
-        'annotation_type': {'key': 'annotationType', 'type': 'str'},
+        "media_type": {"key": "mediaType", "type": "str"},
+        "annotation_type": {"key": "annotationType", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword annotation_type: Annotation type of text labeling job. Possible values include:
          "Classification", "NamedEntityRecognition".
@@ -21243,8 +20133,8 @@ def __init__(
          ~azure.mgmt.machinelearningservices.models.TextAnnotationType
         """
         super(LabelingJobTextProperties, self).__init__(**kwargs)
-        self.media_type = 'Text'  # type: str
-        self.annotation_type = kwargs.get('annotation_type', None)
+        self.media_type = "Text"  # type: str
+        self.annotation_type = kwargs.get("annotation_type", None)
 
 
 class OneLakeArtifact(msrest.serialization.Model):
@@ -21263,29 +20153,24 @@ class OneLakeArtifact(msrest.serialization.Model):
     """
 
     _validation = {
-        'artifact_name': {'required': True, 'min_length': 1, 'pattern': r'[a-zA-Z0-9_]'},
-        'artifact_type': {'required': True},
+        "artifact_name": {"required": True, "min_length": 1, "pattern": r"[a-zA-Z0-9_]"},
+        "artifact_type": {"required": True},
     }
 
     _attribute_map = {
-        'artifact_name': {'key': 'artifactName', 'type': 'str'},
-        'artifact_type': {'key': 'artifactType', 'type': 'str'},
+        "artifact_name": {"key": "artifactName", "type": "str"},
+        "artifact_type": {"key": "artifactType", "type": "str"},
     }
 
-    _subtype_map = {
-        'artifact_type': {'LakeHouse': 'LakeHouseArtifact'}
-    }
+    _subtype_map = {"artifact_type": {"LakeHouse": "LakeHouseArtifact"}}
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword artifact_name: Required. [Required] OneLake artifact name.
         :paramtype artifact_name: str
         """
         super(OneLakeArtifact, self).__init__(**kwargs)
-        self.artifact_name = kwargs['artifact_name']
+        self.artifact_name = kwargs["artifact_name"]
         self.artifact_type = None  # type: Optional[str]
 
 
@@ -21302,25 +20187,22 @@ class LakeHouseArtifact(OneLakeArtifact):
     """
 
     _validation = {
-        'artifact_name': {'required': True, 'min_length': 1, 'pattern': r'[a-zA-Z0-9_]'},
-        'artifact_type': {'required': True},
+        "artifact_name": {"required": True, "min_length": 1, "pattern": r"[a-zA-Z0-9_]"},
+        "artifact_type": {"required": True},
     }
 
     _attribute_map = {
-        'artifact_name': {'key': 'artifactName', 'type': 'str'},
-        'artifact_type': {'key': 'artifactType', 'type': 'str'},
+        "artifact_name": {"key": "artifactName", "type": "str"},
+        "artifact_type": {"key": "artifactType", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword artifact_name: Required. [Required] OneLake artifact name.
         :paramtype artifact_name: str
         """
         super(LakeHouseArtifact, self).__init__(**kwargs)
-        self.artifact_type = 'LakeHouse'  # type: str
+        self.artifact_type = "LakeHouse"  # type: str
 
 
 class ListAmlUserFeatureResult(msrest.serialization.Model):
@@ -21336,21 +20218,17 @@ class ListAmlUserFeatureResult(msrest.serialization.Model):
     """
 
     _validation = {
-        'value': {'readonly': True},
-        'next_link': {'readonly': True},
+        "value": {"readonly": True},
+        "next_link": {"readonly": True},
     }
 
     _attribute_map = {
-        'value': {'key': 'value', 'type': '[AmlUserFeature]'},
-        'next_link': {'key': 'nextLink', 'type': 'str'},
+        "value": {"key": "value", "type": "[AmlUserFeature]"},
+        "next_link": {"key": "nextLink", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
-        """
-        """
+    def __init__(self, **kwargs):
+        """ """
         super(ListAmlUserFeatureResult, self).__init__(**kwargs)
         self.value = None
         self.next_link = None
@@ -21368,21 +20246,17 @@ class ListNotebookKeysResult(msrest.serialization.Model):
     """
 
     _validation = {
-        'primary_access_key': {'readonly': True},
-        'secondary_access_key': {'readonly': True},
+        "primary_access_key": {"readonly": True},
+        "secondary_access_key": {"readonly": True},
     }
 
     _attribute_map = {
-        'primary_access_key': {'key': 'primaryAccessKey', 'type': 'str'},
-        'secondary_access_key': {'key': 'secondaryAccessKey', 'type': 'str'},
+        "primary_access_key": {"key": "primaryAccessKey", "type": "str"},
+        "secondary_access_key": {"key": "secondaryAccessKey", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
-        """
-        """
+    def __init__(self, **kwargs):
+        """ """
         super(ListNotebookKeysResult, self).__init__(**kwargs)
         self.primary_access_key = None
         self.secondary_access_key = None
@@ -21398,19 +20272,15 @@ class ListStorageAccountKeysResult(msrest.serialization.Model):
     """
 
     _validation = {
-        'user_storage_key': {'readonly': True},
+        "user_storage_key": {"readonly": True},
     }
 
     _attribute_map = {
-        'user_storage_key': {'key': 'userStorageKey', 'type': 'str'},
+        "user_storage_key": {"key": "userStorageKey", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
-        """
-        """
+    def __init__(self, **kwargs):
+        """ """
         super(ListStorageAccountKeysResult, self).__init__(**kwargs)
         self.user_storage_key = None
 
@@ -21428,21 +20298,17 @@ class ListUsagesResult(msrest.serialization.Model):
     """
 
     _validation = {
-        'value': {'readonly': True},
-        'next_link': {'readonly': True},
+        "value": {"readonly": True},
+        "next_link": {"readonly": True},
     }
 
     _attribute_map = {
-        'value': {'key': 'value', 'type': '[Usage]'},
-        'next_link': {'key': 'nextLink', 'type': 'str'},
+        "value": {"key": "value", "type": "[Usage]"},
+        "next_link": {"key": "nextLink", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
-        """
-        """
+    def __init__(self, **kwargs):
+        """ """
         super(ListUsagesResult, self).__init__(**kwargs)
         self.value = None
         self.next_link = None
@@ -21468,24 +20334,23 @@ class ListWorkspaceKeysResult(msrest.serialization.Model):
     """
 
     _validation = {
-        'app_insights_instrumentation_key': {'readonly': True},
-        'user_storage_arm_id': {'readonly': True},
-        'user_storage_key': {'readonly': True},
+        "app_insights_instrumentation_key": {"readonly": True},
+        "user_storage_arm_id": {"readonly": True},
+        "user_storage_key": {"readonly": True},
     }
 
     _attribute_map = {
-        'app_insights_instrumentation_key': {'key': 'appInsightsInstrumentationKey', 'type': 'str'},
-        'container_registry_credentials': {'key': 'containerRegistryCredentials',
-                                           'type': 'RegistryListCredentialsResult'},
-        'notebook_access_keys': {'key': 'notebookAccessKeys', 'type': 'ListNotebookKeysResult'},
-        'user_storage_arm_id': {'key': 'userStorageArmId', 'type': 'str'},
-        'user_storage_key': {'key': 'userStorageKey', 'type': 'str'},
+        "app_insights_instrumentation_key": {"key": "appInsightsInstrumentationKey", "type": "str"},
+        "container_registry_credentials": {
+            "key": "containerRegistryCredentials",
+            "type": "RegistryListCredentialsResult",
+        },
+        "notebook_access_keys": {"key": "notebookAccessKeys", "type": "ListNotebookKeysResult"},
+        "user_storage_arm_id": {"key": "userStorageArmId", "type": "str"},
+        "user_storage_key": {"key": "userStorageKey", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword container_registry_credentials:
         :paramtype container_registry_credentials:
@@ -21496,8 +20361,8 @@ def __init__(
         """
         super(ListWorkspaceKeysResult, self).__init__(**kwargs)
         self.app_insights_instrumentation_key = None
-        self.container_registry_credentials = kwargs.get('container_registry_credentials', None)
-        self.notebook_access_keys = kwargs.get('notebook_access_keys', None)
+        self.container_registry_credentials = kwargs.get("container_registry_credentials", None)
+        self.notebook_access_keys = kwargs.get("notebook_access_keys", None)
         self.user_storage_arm_id = None
         self.user_storage_key = None
 
@@ -21515,21 +20380,17 @@ class ListWorkspaceQuotas(msrest.serialization.Model):
     """
 
     _validation = {
-        'value': {'readonly': True},
-        'next_link': {'readonly': True},
+        "value": {"readonly": True},
+        "next_link": {"readonly": True},
     }
 
     _attribute_map = {
-        'value': {'key': 'value', 'type': '[ResourceQuota]'},
-        'next_link': {'key': 'nextLink', 'type': 'str'},
+        "value": {"key": "value", "type": "[ResourceQuota]"},
+        "next_link": {"key": "nextLink", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
-        """
-        """
+    def __init__(self, **kwargs):
+        """ """
         super(ListWorkspaceQuotas, self).__init__(**kwargs)
         self.value = None
         self.next_link = None
@@ -21551,20 +20412,17 @@ class LiteralJobInput(JobInput):
     """
 
     _validation = {
-        'job_input_type': {'required': True},
-        'value': {'required': True, 'min_length': 1, 'pattern': r'[a-zA-Z0-9_]'},
+        "job_input_type": {"required": True},
+        "value": {"required": True, "min_length": 1, "pattern": r"[a-zA-Z0-9_]"},
     }
 
     _attribute_map = {
-        'description': {'key': 'description', 'type': 'str'},
-        'job_input_type': {'key': 'jobInputType', 'type': 'str'},
-        'value': {'key': 'value', 'type': 'str'},
+        "description": {"key": "description", "type": "str"},
+        "job_input_type": {"key": "jobInputType", "type": "str"},
+        "value": {"key": "value", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword description: Description for the input.
         :paramtype description: str
@@ -21572,8 +20430,8 @@ def __init__(
         :paramtype value: str
         """
         super(LiteralJobInput, self).__init__(**kwargs)
-        self.job_input_type = 'literal'  # type: str
-        self.value = kwargs['value']
+        self.job_input_type = "literal"  # type: str
+        self.value = kwargs["value"]
 
 
 class ManagedComputeIdentity(MonitorComputeIdentityBase):
@@ -21590,25 +20448,22 @@ class ManagedComputeIdentity(MonitorComputeIdentityBase):
     """
 
     _validation = {
-        'compute_identity_type': {'required': True},
+        "compute_identity_type": {"required": True},
     }
 
     _attribute_map = {
-        'compute_identity_type': {'key': 'computeIdentityType', 'type': 'str'},
-        'identity': {'key': 'identity', 'type': 'ManagedServiceIdentity'},
+        "compute_identity_type": {"key": "computeIdentityType", "type": "str"},
+        "identity": {"key": "identity", "type": "ManagedServiceIdentity"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword identity: Managed service identity (system assigned and/or user assigned identities).
         :paramtype identity: ~azure.mgmt.machinelearningservices.models.ManagedServiceIdentity
         """
         super(ManagedComputeIdentity, self).__init__(**kwargs)
-        self.compute_identity_type = 'ManagedIdentity'  # type: str
-        self.identity = kwargs.get('identity', None)
+        self.compute_identity_type = "ManagedIdentity"  # type: str
+        self.identity = kwargs.get("identity", None)
 
 
 class ManagedIdentity(IdentityConfiguration):
@@ -21632,20 +20487,17 @@ class ManagedIdentity(IdentityConfiguration):
     """
 
     _validation = {
-        'identity_type': {'required': True},
+        "identity_type": {"required": True},
     }
 
     _attribute_map = {
-        'identity_type': {'key': 'identityType', 'type': 'str'},
-        'client_id': {'key': 'clientId', 'type': 'str'},
-        'object_id': {'key': 'objectId', 'type': 'str'},
-        'resource_id': {'key': 'resourceId', 'type': 'str'},
+        "identity_type": {"key": "identityType", "type": "str"},
+        "client_id": {"key": "clientId", "type": "str"},
+        "object_id": {"key": "objectId", "type": "str"},
+        "resource_id": {"key": "resourceId", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword client_id: Specifies a user-assigned identity by client ID. For system-assigned, do
          not set this field.
@@ -21658,10 +20510,10 @@ def __init__(
         :paramtype resource_id: str
         """
         super(ManagedIdentity, self).__init__(**kwargs)
-        self.identity_type = 'Managed'  # type: str
-        self.client_id = kwargs.get('client_id', None)
-        self.object_id = kwargs.get('object_id', None)
-        self.resource_id = kwargs.get('resource_id', None)
+        self.identity_type = "Managed"  # type: str
+        self.client_id = kwargs.get("client_id", None)
+        self.object_id = kwargs.get("object_id", None)
+        self.resource_id = kwargs.get("resource_id", None)
 
 
 class ManagedIdentityAuthTypeWorkspaceConnectionProperties(WorkspaceConnectionPropertiesV2):
@@ -21714,28 +20566,25 @@ class ManagedIdentityAuthTypeWorkspaceConnectionProperties(WorkspaceConnectionPr
     """
 
     _validation = {
-        'auth_type': {'required': True},
-        'created_by_workspace_arm_id': {'readonly': True},
-        'group': {'readonly': True},
+        "auth_type": {"required": True},
+        "created_by_workspace_arm_id": {"readonly": True},
+        "group": {"readonly": True},
     }
 
     _attribute_map = {
-        'auth_type': {'key': 'authType', 'type': 'str'},
-        'category': {'key': 'category', 'type': 'str'},
-        'created_by_workspace_arm_id': {'key': 'createdByWorkspaceArmId', 'type': 'str'},
-        'expiry_time': {'key': 'expiryTime', 'type': 'iso-8601'},
-        'group': {'key': 'group', 'type': 'str'},
-        'is_shared_to_all': {'key': 'isSharedToAll', 'type': 'bool'},
-        'metadata': {'key': 'metadata', 'type': 'object'},
-        'shared_user_list': {'key': 'sharedUserList', 'type': '[str]'},
-        'target': {'key': 'target', 'type': 'str'},
-        'credentials': {'key': 'credentials', 'type': 'WorkspaceConnectionManagedIdentity'},
+        "auth_type": {"key": "authType", "type": "str"},
+        "category": {"key": "category", "type": "str"},
+        "created_by_workspace_arm_id": {"key": "createdByWorkspaceArmId", "type": "str"},
+        "expiry_time": {"key": "expiryTime", "type": "iso-8601"},
+        "group": {"key": "group", "type": "str"},
+        "is_shared_to_all": {"key": "isSharedToAll", "type": "bool"},
+        "metadata": {"key": "metadata", "type": "object"},
+        "shared_user_list": {"key": "sharedUserList", "type": "[str]"},
+        "target": {"key": "target", "type": "str"},
+        "credentials": {"key": "credentials", "type": "WorkspaceConnectionManagedIdentity"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword category: Category of the connection. Possible values include: "PythonFeed",
          "ContainerRegistry", "Git", "S3", "Snowflake", "AzureSqlDb", "AzureSynapseAnalytics",
@@ -21770,8 +20619,8 @@ def __init__(
          ~azure.mgmt.machinelearningservices.models.WorkspaceConnectionManagedIdentity
         """
         super(ManagedIdentityAuthTypeWorkspaceConnectionProperties, self).__init__(**kwargs)
-        self.auth_type = 'ManagedIdentity'  # type: str
-        self.credentials = kwargs.get('credentials', None)
+        self.auth_type = "ManagedIdentity"  # type: str
+        self.credentials = kwargs.get("credentials", None)
 
 
 class ManagedIdentityCredential(DataReferenceCredential):
@@ -21801,22 +20650,19 @@ class ManagedIdentityCredential(DataReferenceCredential):
     """
 
     _validation = {
-        'credential_type': {'required': True},
+        "credential_type": {"required": True},
     }
 
     _attribute_map = {
-        'credential_type': {'key': 'credentialType', 'type': 'str'},
-        'managed_identity_type': {'key': 'managedIdentityType', 'type': 'str'},
-        'user_managed_identity_client_id': {'key': 'userManagedIdentityClientId', 'type': 'str'},
-        'user_managed_identity_principal_id': {'key': 'userManagedIdentityPrincipalId', 'type': 'str'},
-        'user_managed_identity_resource_id': {'key': 'userManagedIdentityResourceId', 'type': 'str'},
-        'user_managed_identity_tenant_id': {'key': 'userManagedIdentityTenantId', 'type': 'str'},
+        "credential_type": {"key": "credentialType", "type": "str"},
+        "managed_identity_type": {"key": "managedIdentityType", "type": "str"},
+        "user_managed_identity_client_id": {"key": "userManagedIdentityClientId", "type": "str"},
+        "user_managed_identity_principal_id": {"key": "userManagedIdentityPrincipalId", "type": "str"},
+        "user_managed_identity_resource_id": {"key": "userManagedIdentityResourceId", "type": "str"},
+        "user_managed_identity_tenant_id": {"key": "userManagedIdentityTenantId", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword managed_identity_type: ManagedIdentityCredential identity type.
         :paramtype managed_identity_type: str
@@ -21834,12 +20680,12 @@ def __init__(
         :paramtype user_managed_identity_tenant_id: str
         """
         super(ManagedIdentityCredential, self).__init__(**kwargs)
-        self.credential_type = 'ManagedIdentity'  # type: str
-        self.managed_identity_type = kwargs.get('managed_identity_type', None)
-        self.user_managed_identity_client_id = kwargs.get('user_managed_identity_client_id', None)
-        self.user_managed_identity_principal_id = kwargs.get('user_managed_identity_principal_id', None)
-        self.user_managed_identity_resource_id = kwargs.get('user_managed_identity_resource_id', None)
-        self.user_managed_identity_tenant_id = kwargs.get('user_managed_identity_tenant_id', None)
+        self.credential_type = "ManagedIdentity"  # type: str
+        self.managed_identity_type = kwargs.get("managed_identity_type", None)
+        self.user_managed_identity_client_id = kwargs.get("user_managed_identity_client_id", None)
+        self.user_managed_identity_principal_id = kwargs.get("user_managed_identity_principal_id", None)
+        self.user_managed_identity_resource_id = kwargs.get("user_managed_identity_resource_id", None)
+        self.user_managed_identity_tenant_id = kwargs.get("user_managed_identity_tenant_id", None)
 
 
 class ManagedNetworkProvisionOptions(msrest.serialization.Model):
@@ -21850,19 +20696,16 @@ class ManagedNetworkProvisionOptions(msrest.serialization.Model):
     """
 
     _attribute_map = {
-        'include_spark': {'key': 'includeSpark', 'type': 'bool'},
+        "include_spark": {"key": "includeSpark", "type": "bool"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword include_spark:
         :paramtype include_spark: bool
         """
         super(ManagedNetworkProvisionOptions, self).__init__(**kwargs)
-        self.include_spark = kwargs.get('include_spark', None)
+        self.include_spark = kwargs.get("include_spark", None)
 
 
 class ManagedNetworkProvisionStatus(msrest.serialization.Model):
@@ -21876,14 +20719,11 @@ class ManagedNetworkProvisionStatus(msrest.serialization.Model):
     """
 
     _attribute_map = {
-        'spark_ready': {'key': 'sparkReady', 'type': 'bool'},
-        'status': {'key': 'status', 'type': 'str'},
+        "spark_ready": {"key": "sparkReady", "type": "bool"},
+        "status": {"key": "status", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword spark_ready:
         :paramtype spark_ready: bool
@@ -21892,8 +20732,8 @@ def __init__(
         :paramtype status: str or ~azure.mgmt.machinelearningservices.models.ManagedNetworkStatus
         """
         super(ManagedNetworkProvisionStatus, self).__init__(**kwargs)
-        self.spark_ready = kwargs.get('spark_ready', None)
-        self.status = kwargs.get('status', None)
+        self.spark_ready = kwargs.get("spark_ready", None)
+        self.status = kwargs.get("status", None)
 
 
 class ManagedNetworkSettings(msrest.serialization.Model):
@@ -21917,22 +20757,19 @@ class ManagedNetworkSettings(msrest.serialization.Model):
     """
 
     _validation = {
-        'network_id': {'readonly': True},
-        'changeable_isolation_modes': {'readonly': True},
+        "network_id": {"readonly": True},
+        "changeable_isolation_modes": {"readonly": True},
     }
 
     _attribute_map = {
-        'isolation_mode': {'key': 'isolationMode', 'type': 'str'},
-        'network_id': {'key': 'networkId', 'type': 'str'},
-        'outbound_rules': {'key': 'outboundRules', 'type': '{OutboundRule}'},
-        'status': {'key': 'status', 'type': 'ManagedNetworkProvisionStatus'},
-        'changeable_isolation_modes': {'key': 'changeableIsolationModes', 'type': '[str]'},
+        "isolation_mode": {"key": "isolationMode", "type": "str"},
+        "network_id": {"key": "networkId", "type": "str"},
+        "outbound_rules": {"key": "outboundRules", "type": "{OutboundRule}"},
+        "status": {"key": "status", "type": "ManagedNetworkProvisionStatus"},
+        "changeable_isolation_modes": {"key": "changeableIsolationModes", "type": "[str]"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword isolation_mode: Isolation mode for the managed network of a machine learning
          workspace. Possible values include: "Disabled", "AllowInternetOutbound",
@@ -21945,10 +20782,10 @@ def __init__(
         :paramtype status: ~azure.mgmt.machinelearningservices.models.ManagedNetworkProvisionStatus
         """
         super(ManagedNetworkSettings, self).__init__(**kwargs)
-        self.isolation_mode = kwargs.get('isolation_mode', None)
+        self.isolation_mode = kwargs.get("isolation_mode", None)
         self.network_id = None
-        self.outbound_rules = kwargs.get('outbound_rules', None)
-        self.status = kwargs.get('status', None)
+        self.outbound_rules = kwargs.get("outbound_rules", None)
+        self.status = kwargs.get("status", None)
         self.changeable_isolation_modes = None
 
 
@@ -22008,34 +20845,31 @@ class ManagedOnlineDeployment(OnlineDeploymentProperties):
     """
 
     _validation = {
-        'endpoint_compute_type': {'required': True},
-        'provisioning_state': {'readonly': True},
+        "endpoint_compute_type": {"required": True},
+        "provisioning_state": {"readonly": True},
     }
 
     _attribute_map = {
-        'code_configuration': {'key': 'codeConfiguration', 'type': 'CodeConfiguration'},
-        'description': {'key': 'description', 'type': 'str'},
-        'environment_id': {'key': 'environmentId', 'type': 'str'},
-        'environment_variables': {'key': 'environmentVariables', 'type': '{str}'},
-        'properties': {'key': 'properties', 'type': '{str}'},
-        'app_insights_enabled': {'key': 'appInsightsEnabled', 'type': 'bool'},
-        'data_collector': {'key': 'dataCollector', 'type': 'DataCollector'},
-        'egress_public_network_access': {'key': 'egressPublicNetworkAccess', 'type': 'str'},
-        'endpoint_compute_type': {'key': 'endpointComputeType', 'type': 'str'},
-        'instance_type': {'key': 'instanceType', 'type': 'str'},
-        'liveness_probe': {'key': 'livenessProbe', 'type': 'ProbeSettings'},
-        'model': {'key': 'model', 'type': 'str'},
-        'model_mount_path': {'key': 'modelMountPath', 'type': 'str'},
-        'provisioning_state': {'key': 'provisioningState', 'type': 'str'},
-        'readiness_probe': {'key': 'readinessProbe', 'type': 'ProbeSettings'},
-        'request_settings': {'key': 'requestSettings', 'type': 'OnlineRequestSettings'},
-        'scale_settings': {'key': 'scaleSettings', 'type': 'OnlineScaleSettings'},
+        "code_configuration": {"key": "codeConfiguration", "type": "CodeConfiguration"},
+        "description": {"key": "description", "type": "str"},
+        "environment_id": {"key": "environmentId", "type": "str"},
+        "environment_variables": {"key": "environmentVariables", "type": "{str}"},
+        "properties": {"key": "properties", "type": "{str}"},
+        "app_insights_enabled": {"key": "appInsightsEnabled", "type": "bool"},
+        "data_collector": {"key": "dataCollector", "type": "DataCollector"},
+        "egress_public_network_access": {"key": "egressPublicNetworkAccess", "type": "str"},
+        "endpoint_compute_type": {"key": "endpointComputeType", "type": "str"},
+        "instance_type": {"key": "instanceType", "type": "str"},
+        "liveness_probe": {"key": "livenessProbe", "type": "ProbeSettings"},
+        "model": {"key": "model", "type": "str"},
+        "model_mount_path": {"key": "modelMountPath", "type": "str"},
+        "provisioning_state": {"key": "provisioningState", "type": "str"},
+        "readiness_probe": {"key": "readinessProbe", "type": "ProbeSettings"},
+        "request_settings": {"key": "requestSettings", "type": "OnlineRequestSettings"},
+        "scale_settings": {"key": "scaleSettings", "type": "OnlineScaleSettings"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword code_configuration: Code configuration for the endpoint deployment.
         :paramtype code_configuration: ~azure.mgmt.machinelearningservices.models.CodeConfiguration
@@ -22077,7 +20911,7 @@ def __init__(
         :paramtype scale_settings: ~azure.mgmt.machinelearningservices.models.OnlineScaleSettings
         """
         super(ManagedOnlineDeployment, self).__init__(**kwargs)
-        self.endpoint_compute_type = 'Managed'  # type: str
+        self.endpoint_compute_type = "Managed"  # type: str
 
 
 class ManagedOnlineEndpointDeploymentResourceProperties(EndpointDeploymentResourceProperties):
@@ -22098,26 +20932,23 @@ class ManagedOnlineEndpointDeploymentResourceProperties(EndpointDeploymentResour
     """
 
     _validation = {
-        'provisioning_state': {'readonly': True},
-        'type': {'required': True, 'min_length': 1, 'pattern': r'[a-zA-Z0-9._]'},
+        "provisioning_state": {"readonly": True},
+        "type": {"required": True, "min_length": 1, "pattern": r"[a-zA-Z0-9._]"},
     }
 
     _attribute_map = {
-        'failure_reason': {'key': 'failureReason', 'type': 'str'},
-        'provisioning_state': {'key': 'provisioningState', 'type': 'str'},
-        'type': {'key': 'type', 'type': 'str'},
+        "failure_reason": {"key": "failureReason", "type": "str"},
+        "provisioning_state": {"key": "provisioningState", "type": "str"},
+        "type": {"key": "type", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword failure_reason: The failure reason if the creation failed.
         :paramtype failure_reason: str
         """
         super(ManagedOnlineEndpointDeploymentResourceProperties, self).__init__(**kwargs)
-        self.type = 'managedOnlineEndpoint'  # type: str
+        self.type = "managedOnlineEndpoint"  # type: str
 
 
 class ManagedOnlineEndpointResourceProperties(EndpointResourceProperties):
@@ -22147,23 +20978,20 @@ class ManagedOnlineEndpointResourceProperties(EndpointResourceProperties):
     """
 
     _validation = {
-        'endpoint_type': {'required': True},
-        'provisioning_state': {'readonly': True},
+        "endpoint_type": {"required": True},
+        "provisioning_state": {"readonly": True},
     }
 
     _attribute_map = {
-        'associated_resource_id': {'key': 'associatedResourceId', 'type': 'str'},
-        'endpoint_type': {'key': 'endpointType', 'type': 'str'},
-        'endpoint_uri': {'key': 'endpointUri', 'type': 'str'},
-        'failure_reason': {'key': 'failureReason', 'type': 'str'},
-        'name': {'key': 'name', 'type': 'str'},
-        'provisioning_state': {'key': 'provisioningState', 'type': 'str'},
+        "associated_resource_id": {"key": "associatedResourceId", "type": "str"},
+        "endpoint_type": {"key": "endpointType", "type": "str"},
+        "endpoint_uri": {"key": "endpointUri", "type": "str"},
+        "failure_reason": {"key": "failureReason", "type": "str"},
+        "name": {"key": "name", "type": "str"},
+        "provisioning_state": {"key": "provisioningState", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword associated_resource_id: Byo resource id for creating the built-in model service
          endpoints.
@@ -22176,7 +21004,7 @@ def __init__(
         :paramtype name: str
         """
         super(ManagedOnlineEndpointResourceProperties, self).__init__(**kwargs)
-        self.endpoint_type = 'managedOnlineEndpoint'  # type: str
+        self.endpoint_type = "managedOnlineEndpoint"  # type: str
 
 
 class ManagedResourceGroupAssignedIdentities(msrest.serialization.Model):
@@ -22187,19 +21015,16 @@ class ManagedResourceGroupAssignedIdentities(msrest.serialization.Model):
     """
 
     _attribute_map = {
-        'principal_id': {'key': 'principalId', 'type': 'str'},
+        "principal_id": {"key": "principalId", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword principal_id: Identity principal Id.
         :paramtype principal_id: str
         """
         super(ManagedResourceGroupAssignedIdentities, self).__init__(**kwargs)
-        self.principal_id = kwargs.get('principal_id', None)
+        self.principal_id = kwargs.get("principal_id", None)
 
 
 class ManagedResourceGroupSettings(msrest.serialization.Model):
@@ -22211,20 +21036,17 @@ class ManagedResourceGroupSettings(msrest.serialization.Model):
     """
 
     _attribute_map = {
-        'assigned_identities': {'key': 'assignedIdentities', 'type': '[ManagedResourceGroupAssignedIdentities]'},
+        "assigned_identities": {"key": "assignedIdentities", "type": "[ManagedResourceGroupAssignedIdentities]"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword assigned_identities: List of assigned identities for the managed resource group.
         :paramtype assigned_identities:
          list[~azure.mgmt.machinelearningservices.models.ManagedResourceGroupAssignedIdentities]
         """
         super(ManagedResourceGroupSettings, self).__init__(**kwargs)
-        self.assigned_identities = kwargs.get('assigned_identities', None)
+        self.assigned_identities = kwargs.get("assigned_identities", None)
 
 
 class ManagedServiceIdentity(msrest.serialization.Model):
@@ -22253,22 +21075,19 @@ class ManagedServiceIdentity(msrest.serialization.Model):
     """
 
     _validation = {
-        'principal_id': {'readonly': True},
-        'tenant_id': {'readonly': True},
-        'type': {'required': True},
+        "principal_id": {"readonly": True},
+        "tenant_id": {"readonly": True},
+        "type": {"required": True},
     }
 
     _attribute_map = {
-        'principal_id': {'key': 'principalId', 'type': 'str'},
-        'tenant_id': {'key': 'tenantId', 'type': 'str'},
-        'type': {'key': 'type', 'type': 'str'},
-        'user_assigned_identities': {'key': 'userAssignedIdentities', 'type': '{UserAssignedIdentity}'},
+        "principal_id": {"key": "principalId", "type": "str"},
+        "tenant_id": {"key": "tenantId", "type": "str"},
+        "type": {"key": "type", "type": "str"},
+        "user_assigned_identities": {"key": "userAssignedIdentities", "type": "{UserAssignedIdentity}"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword type: Required. Type of managed service identity (where both SystemAssigned and
          UserAssigned types are allowed). Possible values include: "None", "SystemAssigned",
@@ -22284,8 +21103,8 @@ def __init__(
         super(ManagedServiceIdentity, self).__init__(**kwargs)
         self.principal_id = None
         self.tenant_id = None
-        self.type = kwargs['type']
-        self.user_assigned_identities = kwargs.get('user_assigned_identities', None)
+        self.type = kwargs["type"]
+        self.user_assigned_identities = kwargs.get("user_assigned_identities", None)
 
 
 class MarketplacePlan(msrest.serialization.Model):
@@ -22302,23 +21121,19 @@ class MarketplacePlan(msrest.serialization.Model):
     """
 
     _validation = {
-        'offer_id': {'readonly': True},
-        'plan_id': {'readonly': True},
-        'publisher_id': {'readonly': True},
+        "offer_id": {"readonly": True},
+        "plan_id": {"readonly": True},
+        "publisher_id": {"readonly": True},
     }
 
     _attribute_map = {
-        'offer_id': {'key': 'offerId', 'type': 'str'},
-        'plan_id': {'key': 'planId', 'type': 'str'},
-        'publisher_id': {'key': 'publisherId', 'type': 'str'},
+        "offer_id": {"key": "offerId", "type": "str"},
+        "plan_id": {"key": "planId", "type": "str"},
+        "publisher_id": {"key": "publisherId", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
-        """
-        """
+    def __init__(self, **kwargs):
+        """ """
         super(MarketplacePlan, self).__init__(**kwargs)
         self.offer_id = None
         self.plan_id = None
@@ -22349,32 +21164,29 @@ class MarketplaceSubscription(ProxyResource):
     """
 
     _validation = {
-        'id': {'readonly': True},
-        'name': {'readonly': True},
-        'type': {'readonly': True},
-        'system_data': {'readonly': True},
-        'properties': {'required': True},
+        "id": {"readonly": True},
+        "name": {"readonly": True},
+        "type": {"readonly": True},
+        "system_data": {"readonly": True},
+        "properties": {"required": True},
     }
 
     _attribute_map = {
-        'id': {'key': 'id', 'type': 'str'},
-        'name': {'key': 'name', 'type': 'str'},
-        'type': {'key': 'type', 'type': 'str'},
-        'system_data': {'key': 'systemData', 'type': 'SystemData'},
-        'properties': {'key': 'properties', 'type': 'MarketplaceSubscriptionProperties'},
+        "id": {"key": "id", "type": "str"},
+        "name": {"key": "name", "type": "str"},
+        "type": {"key": "type", "type": "str"},
+        "system_data": {"key": "systemData", "type": "SystemData"},
+        "properties": {"key": "properties", "type": "MarketplaceSubscriptionProperties"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword properties: Required. [Required] Additional attributes of the entity.
         :paramtype properties:
          ~azure.mgmt.machinelearningservices.models.MarketplaceSubscriptionProperties
         """
         super(MarketplaceSubscription, self).__init__(**kwargs)
-        self.properties = kwargs['properties']
+        self.properties = kwargs["properties"]
 
 
 class MarketplaceSubscriptionProperties(msrest.serialization.Model):
@@ -22400,23 +21212,20 @@ class MarketplaceSubscriptionProperties(msrest.serialization.Model):
     """
 
     _validation = {
-        'marketplace_plan': {'readonly': True},
-        'marketplace_subscription_status': {'readonly': True},
-        'model_id': {'required': True, 'min_length': 1, 'pattern': r'[a-zA-Z0-9_]'},
-        'provisioning_state': {'readonly': True},
+        "marketplace_plan": {"readonly": True},
+        "marketplace_subscription_status": {"readonly": True},
+        "model_id": {"required": True, "min_length": 1, "pattern": r"[a-zA-Z0-9_]"},
+        "provisioning_state": {"readonly": True},
     }
 
     _attribute_map = {
-        'marketplace_plan': {'key': 'marketplacePlan', 'type': 'MarketplacePlan'},
-        'marketplace_subscription_status': {'key': 'marketplaceSubscriptionStatus', 'type': 'str'},
-        'model_id': {'key': 'modelId', 'type': 'str'},
-        'provisioning_state': {'key': 'provisioningState', 'type': 'str'},
+        "marketplace_plan": {"key": "marketplacePlan", "type": "MarketplacePlan"},
+        "marketplace_subscription_status": {"key": "marketplaceSubscriptionStatus", "type": "str"},
+        "model_id": {"key": "modelId", "type": "str"},
+        "provisioning_state": {"key": "provisioningState", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword model_id: Required. [Required] Target Marketplace Model ID to create a Marketplace
          Subscription for.
@@ -22425,7 +21234,7 @@ def __init__(
         super(MarketplaceSubscriptionProperties, self).__init__(**kwargs)
         self.marketplace_plan = None
         self.marketplace_subscription_status = None
-        self.model_id = kwargs['model_id']
+        self.model_id = kwargs["model_id"]
         self.provisioning_state = None
 
 
@@ -22440,14 +21249,11 @@ class MarketplaceSubscriptionResourceArmPaginatedResult(msrest.serialization.Mod
     """
 
     _attribute_map = {
-        'next_link': {'key': 'nextLink', 'type': 'str'},
-        'value': {'key': 'value', 'type': '[MarketplaceSubscription]'},
+        "next_link": {"key": "nextLink", "type": "str"},
+        "value": {"key": "value", "type": "[MarketplaceSubscription]"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword next_link: The link to the next page of MarketplaceSubscription objects. If null,
          there are no additional pages.
@@ -22456,8 +21262,8 @@ def __init__(
         :paramtype value: list[~azure.mgmt.machinelearningservices.models.MarketplaceSubscription]
         """
         super(MarketplaceSubscriptionResourceArmPaginatedResult, self).__init__(**kwargs)
-        self.next_link = kwargs.get('next_link', None)
-        self.value = kwargs.get('value', None)
+        self.next_link = kwargs.get("next_link", None)
+        self.value = kwargs.get("value", None)
 
 
 class MaterializationComputeResource(msrest.serialization.Model):
@@ -22468,19 +21274,16 @@ class MaterializationComputeResource(msrest.serialization.Model):
     """
 
     _attribute_map = {
-        'instance_type': {'key': 'instanceType', 'type': 'str'},
+        "instance_type": {"key": "instanceType", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword instance_type: Specifies the instance type.
         :paramtype instance_type: str
         """
         super(MaterializationComputeResource, self).__init__(**kwargs)
-        self.instance_type = kwargs.get('instance_type', None)
+        self.instance_type = kwargs.get("instance_type", None)
 
 
 class MaterializationSettings(msrest.serialization.Model):
@@ -22500,17 +21303,14 @@ class MaterializationSettings(msrest.serialization.Model):
     """
 
     _attribute_map = {
-        'notification': {'key': 'notification', 'type': 'NotificationSetting'},
-        'resource': {'key': 'resource', 'type': 'MaterializationComputeResource'},
-        'schedule': {'key': 'schedule', 'type': 'RecurrenceTrigger'},
-        'spark_configuration': {'key': 'sparkConfiguration', 'type': '{str}'},
-        'store_type': {'key': 'storeType', 'type': 'str'},
+        "notification": {"key": "notification", "type": "NotificationSetting"},
+        "resource": {"key": "resource", "type": "MaterializationComputeResource"},
+        "schedule": {"key": "schedule", "type": "RecurrenceTrigger"},
+        "spark_configuration": {"key": "sparkConfiguration", "type": "{str}"},
+        "store_type": {"key": "storeType", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword notification: Specifies the notification details.
         :paramtype notification: ~azure.mgmt.machinelearningservices.models.NotificationSetting
@@ -22526,11 +21326,11 @@ def __init__(
          ~azure.mgmt.machinelearningservices.models.MaterializationStoreType
         """
         super(MaterializationSettings, self).__init__(**kwargs)
-        self.notification = kwargs.get('notification', None)
-        self.resource = kwargs.get('resource', None)
-        self.schedule = kwargs.get('schedule', None)
-        self.spark_configuration = kwargs.get('spark_configuration', None)
-        self.store_type = kwargs.get('store_type', None)
+        self.notification = kwargs.get("notification", None)
+        self.resource = kwargs.get("resource", None)
+        self.schedule = kwargs.get("schedule", None)
+        self.spark_configuration = kwargs.get("spark_configuration", None)
+        self.store_type = kwargs.get("store_type", None)
 
 
 class MedianStoppingPolicy(EarlyTerminationPolicy):
@@ -22549,19 +21349,16 @@ class MedianStoppingPolicy(EarlyTerminationPolicy):
     """
 
     _validation = {
-        'policy_type': {'required': True},
+        "policy_type": {"required": True},
     }
 
     _attribute_map = {
-        'delay_evaluation': {'key': 'delayEvaluation', 'type': 'int'},
-        'evaluation_interval': {'key': 'evaluationInterval', 'type': 'int'},
-        'policy_type': {'key': 'policyType', 'type': 'str'},
+        "delay_evaluation": {"key": "delayEvaluation", "type": "int"},
+        "evaluation_interval": {"key": "evaluationInterval", "type": "int"},
+        "policy_type": {"key": "policyType", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword delay_evaluation: Number of intervals by which to delay the first evaluation.
         :paramtype delay_evaluation: int
@@ -22569,7 +21366,7 @@ def __init__(
         :paramtype evaluation_interval: int
         """
         super(MedianStoppingPolicy, self).__init__(**kwargs)
-        self.policy_type = 'MedianStopping'  # type: str
+        self.policy_type = "MedianStopping"  # type: str
 
 
 class MLAssistConfiguration(msrest.serialization.Model):
@@ -22586,23 +21383,19 @@ class MLAssistConfiguration(msrest.serialization.Model):
     """
 
     _validation = {
-        'ml_assist': {'required': True},
+        "ml_assist": {"required": True},
     }
 
     _attribute_map = {
-        'ml_assist': {'key': 'mlAssist', 'type': 'str'},
+        "ml_assist": {"key": "mlAssist", "type": "str"},
     }
 
     _subtype_map = {
-        'ml_assist': {'Disabled': 'MLAssistConfigurationDisabled', 'Enabled': 'MLAssistConfigurationEnabled'}
+        "ml_assist": {"Disabled": "MLAssistConfigurationDisabled", "Enabled": "MLAssistConfigurationEnabled"}
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
-        """
-        """
+    def __init__(self, **kwargs):
+        """ """
         super(MLAssistConfiguration, self).__init__(**kwargs)
         self.ml_assist = None  # type: Optional[str]
 
@@ -22618,21 +21411,17 @@ class MLAssistConfigurationDisabled(MLAssistConfiguration):
     """
 
     _validation = {
-        'ml_assist': {'required': True},
+        "ml_assist": {"required": True},
     }
 
     _attribute_map = {
-        'ml_assist': {'key': 'mlAssist', 'type': 'str'},
+        "ml_assist": {"key": "mlAssist", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
-        """
-        """
+    def __init__(self, **kwargs):
+        """ """
         super(MLAssistConfigurationDisabled, self).__init__(**kwargs)
-        self.ml_assist = 'Disabled'  # type: str
+        self.ml_assist = "Disabled"  # type: str
 
 
 class MLAssistConfigurationEnabled(MLAssistConfiguration):
@@ -22651,21 +21440,18 @@ class MLAssistConfigurationEnabled(MLAssistConfiguration):
     """
 
     _validation = {
-        'ml_assist': {'required': True},
-        'inferencing_compute_binding': {'required': True, 'min_length': 1, 'pattern': r'[a-zA-Z0-9_]'},
-        'training_compute_binding': {'required': True, 'min_length': 1, 'pattern': r'[a-zA-Z0-9_]'},
+        "ml_assist": {"required": True},
+        "inferencing_compute_binding": {"required": True, "min_length": 1, "pattern": r"[a-zA-Z0-9_]"},
+        "training_compute_binding": {"required": True, "min_length": 1, "pattern": r"[a-zA-Z0-9_]"},
     }
 
     _attribute_map = {
-        'ml_assist': {'key': 'mlAssist', 'type': 'str'},
-        'inferencing_compute_binding': {'key': 'inferencingComputeBinding', 'type': 'str'},
-        'training_compute_binding': {'key': 'trainingComputeBinding', 'type': 'str'},
+        "ml_assist": {"key": "mlAssist", "type": "str"},
+        "inferencing_compute_binding": {"key": "inferencingComputeBinding", "type": "str"},
+        "training_compute_binding": {"key": "trainingComputeBinding", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword inferencing_compute_binding: Required. [Required] AML compute binding used in
          inferencing.
@@ -22674,9 +21460,9 @@ def __init__(
         :paramtype training_compute_binding: str
         """
         super(MLAssistConfigurationEnabled, self).__init__(**kwargs)
-        self.ml_assist = 'Enabled'  # type: str
-        self.inferencing_compute_binding = kwargs['inferencing_compute_binding']
-        self.training_compute_binding = kwargs['training_compute_binding']
+        self.ml_assist = "Enabled"  # type: str
+        self.inferencing_compute_binding = kwargs["inferencing_compute_binding"]
+        self.training_compute_binding = kwargs["training_compute_binding"]
 
 
 class MLFlowModelJobInput(JobInput, AssetJobInput):
@@ -22700,22 +21486,19 @@ class MLFlowModelJobInput(JobInput, AssetJobInput):
     """
 
     _validation = {
-        'uri': {'required': True, 'min_length': 1, 'pattern': r'[a-zA-Z0-9_]'},
-        'job_input_type': {'required': True},
+        "uri": {"required": True, "min_length": 1, "pattern": r"[a-zA-Z0-9_]"},
+        "job_input_type": {"required": True},
     }
 
     _attribute_map = {
-        'mode': {'key': 'mode', 'type': 'str'},
-        'path_on_compute': {'key': 'pathOnCompute', 'type': 'str'},
-        'uri': {'key': 'uri', 'type': 'str'},
-        'description': {'key': 'description', 'type': 'str'},
-        'job_input_type': {'key': 'jobInputType', 'type': 'str'},
+        "mode": {"key": "mode", "type": "str"},
+        "path_on_compute": {"key": "pathOnCompute", "type": "str"},
+        "uri": {"key": "uri", "type": "str"},
+        "description": {"key": "description", "type": "str"},
+        "job_input_type": {"key": "jobInputType", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword mode: Input Asset Delivery Mode. Possible values include: "ReadOnlyMount",
          "ReadWriteMount", "Download", "Direct", "EvalMount", "EvalDownload".
@@ -22728,11 +21511,11 @@ def __init__(
         :paramtype description: str
         """
         super(MLFlowModelJobInput, self).__init__(**kwargs)
-        self.mode = kwargs.get('mode', None)
-        self.path_on_compute = kwargs.get('path_on_compute', None)
-        self.uri = kwargs['uri']
-        self.job_input_type = 'mlflow_model'  # type: str
-        self.description = kwargs.get('description', None)
+        self.mode = kwargs.get("mode", None)
+        self.path_on_compute = kwargs.get("path_on_compute", None)
+        self.uri = kwargs["uri"]
+        self.job_input_type = "mlflow_model"  # type: str
+        self.description = kwargs.get("description", None)
 
 
 class MLFlowModelJobOutput(JobOutput, AssetJobOutput):
@@ -22762,24 +21545,21 @@ class MLFlowModelJobOutput(JobOutput, AssetJobOutput):
     """
 
     _validation = {
-        'job_output_type': {'required': True},
+        "job_output_type": {"required": True},
     }
 
     _attribute_map = {
-        'asset_name': {'key': 'assetName', 'type': 'str'},
-        'asset_version': {'key': 'assetVersion', 'type': 'str'},
-        'auto_delete_setting': {'key': 'autoDeleteSetting', 'type': 'AutoDeleteSetting'},
-        'mode': {'key': 'mode', 'type': 'str'},
-        'path_on_compute': {'key': 'pathOnCompute', 'type': 'str'},
-        'uri': {'key': 'uri', 'type': 'str'},
-        'description': {'key': 'description', 'type': 'str'},
-        'job_output_type': {'key': 'jobOutputType', 'type': 'str'},
+        "asset_name": {"key": "assetName", "type": "str"},
+        "asset_version": {"key": "assetVersion", "type": "str"},
+        "auto_delete_setting": {"key": "autoDeleteSetting", "type": "AutoDeleteSetting"},
+        "mode": {"key": "mode", "type": "str"},
+        "path_on_compute": {"key": "pathOnCompute", "type": "str"},
+        "uri": {"key": "uri", "type": "str"},
+        "description": {"key": "description", "type": "str"},
+        "job_output_type": {"key": "jobOutputType", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword asset_name: Output Asset Name.
         :paramtype asset_name: str
@@ -22798,14 +21578,14 @@ def __init__(
         :paramtype description: str
         """
         super(MLFlowModelJobOutput, self).__init__(**kwargs)
-        self.asset_name = kwargs.get('asset_name', None)
-        self.asset_version = kwargs.get('asset_version', None)
-        self.auto_delete_setting = kwargs.get('auto_delete_setting', None)
-        self.mode = kwargs.get('mode', None)
-        self.path_on_compute = kwargs.get('path_on_compute', None)
-        self.uri = kwargs.get('uri', None)
-        self.job_output_type = 'mlflow_model'  # type: str
-        self.description = kwargs.get('description', None)
+        self.asset_name = kwargs.get("asset_name", None)
+        self.asset_version = kwargs.get("asset_version", None)
+        self.auto_delete_setting = kwargs.get("auto_delete_setting", None)
+        self.mode = kwargs.get("mode", None)
+        self.path_on_compute = kwargs.get("path_on_compute", None)
+        self.uri = kwargs.get("uri", None)
+        self.job_output_type = "mlflow_model"  # type: str
+        self.description = kwargs.get("description", None)
 
 
 class MLTableData(DataVersionBaseProperties):
@@ -22843,28 +21623,25 @@ class MLTableData(DataVersionBaseProperties):
     """
 
     _validation = {
-        'data_type': {'required': True},
-        'data_uri': {'required': True, 'min_length': 1, 'pattern': r'[a-zA-Z0-9_]'},
+        "data_type": {"required": True},
+        "data_uri": {"required": True, "min_length": 1, "pattern": r"[a-zA-Z0-9_]"},
     }
 
     _attribute_map = {
-        'description': {'key': 'description', 'type': 'str'},
-        'properties': {'key': 'properties', 'type': '{str}'},
-        'tags': {'key': 'tags', 'type': '{str}'},
-        'auto_delete_setting': {'key': 'autoDeleteSetting', 'type': 'AutoDeleteSetting'},
-        'is_anonymous': {'key': 'isAnonymous', 'type': 'bool'},
-        'is_archived': {'key': 'isArchived', 'type': 'bool'},
-        'data_type': {'key': 'dataType', 'type': 'str'},
-        'data_uri': {'key': 'dataUri', 'type': 'str'},
-        'intellectual_property': {'key': 'intellectualProperty', 'type': 'IntellectualProperty'},
-        'stage': {'key': 'stage', 'type': 'str'},
-        'referenced_uris': {'key': 'referencedUris', 'type': '[str]'},
+        "description": {"key": "description", "type": "str"},
+        "properties": {"key": "properties", "type": "{str}"},
+        "tags": {"key": "tags", "type": "{str}"},
+        "auto_delete_setting": {"key": "autoDeleteSetting", "type": "AutoDeleteSetting"},
+        "is_anonymous": {"key": "isAnonymous", "type": "bool"},
+        "is_archived": {"key": "isArchived", "type": "bool"},
+        "data_type": {"key": "dataType", "type": "str"},
+        "data_uri": {"key": "dataUri", "type": "str"},
+        "intellectual_property": {"key": "intellectualProperty", "type": "IntellectualProperty"},
+        "stage": {"key": "stage", "type": "str"},
+        "referenced_uris": {"key": "referencedUris", "type": "[str]"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword description: The asset description text.
         :paramtype description: str
@@ -22893,8 +21670,8 @@ def __init__(
         :paramtype referenced_uris: list[str]
         """
         super(MLTableData, self).__init__(**kwargs)
-        self.data_type = 'mltable'  # type: str
-        self.referenced_uris = kwargs.get('referenced_uris', None)
+        self.data_type = "mltable"  # type: str
+        self.referenced_uris = kwargs.get("referenced_uris", None)
 
 
 class MLTableJobInput(JobInput, AssetJobInput):
@@ -22918,22 +21695,19 @@ class MLTableJobInput(JobInput, AssetJobInput):
     """
 
     _validation = {
-        'uri': {'required': True, 'min_length': 1, 'pattern': r'[a-zA-Z0-9_]'},
-        'job_input_type': {'required': True},
+        "uri": {"required": True, "min_length": 1, "pattern": r"[a-zA-Z0-9_]"},
+        "job_input_type": {"required": True},
     }
 
     _attribute_map = {
-        'mode': {'key': 'mode', 'type': 'str'},
-        'path_on_compute': {'key': 'pathOnCompute', 'type': 'str'},
-        'uri': {'key': 'uri', 'type': 'str'},
-        'description': {'key': 'description', 'type': 'str'},
-        'job_input_type': {'key': 'jobInputType', 'type': 'str'},
+        "mode": {"key": "mode", "type": "str"},
+        "path_on_compute": {"key": "pathOnCompute", "type": "str"},
+        "uri": {"key": "uri", "type": "str"},
+        "description": {"key": "description", "type": "str"},
+        "job_input_type": {"key": "jobInputType", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword mode: Input Asset Delivery Mode. Possible values include: "ReadOnlyMount",
          "ReadWriteMount", "Download", "Direct", "EvalMount", "EvalDownload".
@@ -22946,11 +21720,11 @@ def __init__(
         :paramtype description: str
         """
         super(MLTableJobInput, self).__init__(**kwargs)
-        self.mode = kwargs.get('mode', None)
-        self.path_on_compute = kwargs.get('path_on_compute', None)
-        self.uri = kwargs['uri']
-        self.job_input_type = 'mltable'  # type: str
-        self.description = kwargs.get('description', None)
+        self.mode = kwargs.get("mode", None)
+        self.path_on_compute = kwargs.get("path_on_compute", None)
+        self.uri = kwargs["uri"]
+        self.job_input_type = "mltable"  # type: str
+        self.description = kwargs.get("description", None)
 
 
 class MLTableJobOutput(JobOutput, AssetJobOutput):
@@ -22980,24 +21754,21 @@ class MLTableJobOutput(JobOutput, AssetJobOutput):
     """
 
     _validation = {
-        'job_output_type': {'required': True},
+        "job_output_type": {"required": True},
     }
 
     _attribute_map = {
-        'asset_name': {'key': 'assetName', 'type': 'str'},
-        'asset_version': {'key': 'assetVersion', 'type': 'str'},
-        'auto_delete_setting': {'key': 'autoDeleteSetting', 'type': 'AutoDeleteSetting'},
-        'mode': {'key': 'mode', 'type': 'str'},
-        'path_on_compute': {'key': 'pathOnCompute', 'type': 'str'},
-        'uri': {'key': 'uri', 'type': 'str'},
-        'description': {'key': 'description', 'type': 'str'},
-        'job_output_type': {'key': 'jobOutputType', 'type': 'str'},
+        "asset_name": {"key": "assetName", "type": "str"},
+        "asset_version": {"key": "assetVersion", "type": "str"},
+        "auto_delete_setting": {"key": "autoDeleteSetting", "type": "AutoDeleteSetting"},
+        "mode": {"key": "mode", "type": "str"},
+        "path_on_compute": {"key": "pathOnCompute", "type": "str"},
+        "uri": {"key": "uri", "type": "str"},
+        "description": {"key": "description", "type": "str"},
+        "job_output_type": {"key": "jobOutputType", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword asset_name: Output Asset Name.
         :paramtype asset_name: str
@@ -23016,14 +21787,14 @@ def __init__(
         :paramtype description: str
         """
         super(MLTableJobOutput, self).__init__(**kwargs)
-        self.asset_name = kwargs.get('asset_name', None)
-        self.asset_version = kwargs.get('asset_version', None)
-        self.auto_delete_setting = kwargs.get('auto_delete_setting', None)
-        self.mode = kwargs.get('mode', None)
-        self.path_on_compute = kwargs.get('path_on_compute', None)
-        self.uri = kwargs.get('uri', None)
-        self.job_output_type = 'mltable'  # type: str
-        self.description = kwargs.get('description', None)
+        self.asset_name = kwargs.get("asset_name", None)
+        self.asset_version = kwargs.get("asset_version", None)
+        self.auto_delete_setting = kwargs.get("auto_delete_setting", None)
+        self.mode = kwargs.get("mode", None)
+        self.path_on_compute = kwargs.get("path_on_compute", None)
+        self.uri = kwargs.get("uri", None)
+        self.job_output_type = "mltable"  # type: str
+        self.description = kwargs.get("description", None)
 
 
 class ModelConfiguration(msrest.serialization.Model):
@@ -23036,14 +21807,11 @@ class ModelConfiguration(msrest.serialization.Model):
     """
 
     _attribute_map = {
-        'mode': {'key': 'mode', 'type': 'str'},
-        'mount_path': {'key': 'mountPath', 'type': 'str'},
+        "mode": {"key": "mode", "type": "str"},
+        "mount_path": {"key": "mountPath", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword mode: Input delivery mode for the model. Possible values include: "Copy", "Download".
         :paramtype mode: str or ~azure.mgmt.machinelearningservices.models.PackageInputDeliveryMode
@@ -23051,8 +21819,8 @@ def __init__(
         :paramtype mount_path: str
         """
         super(ModelConfiguration, self).__init__(**kwargs)
-        self.mode = kwargs.get('mode', None)
-        self.mount_path = kwargs.get('mount_path', None)
+        self.mode = kwargs.get("mode", None)
+        self.mount_path = kwargs.get("mount_path", None)
 
 
 class ModelContainer(ProxyResource):
@@ -23078,31 +21846,28 @@ class ModelContainer(ProxyResource):
     """
 
     _validation = {
-        'id': {'readonly': True},
-        'name': {'readonly': True},
-        'type': {'readonly': True},
-        'system_data': {'readonly': True},
-        'properties': {'required': True},
+        "id": {"readonly": True},
+        "name": {"readonly": True},
+        "type": {"readonly": True},
+        "system_data": {"readonly": True},
+        "properties": {"required": True},
     }
 
     _attribute_map = {
-        'id': {'key': 'id', 'type': 'str'},
-        'name': {'key': 'name', 'type': 'str'},
-        'type': {'key': 'type', 'type': 'str'},
-        'system_data': {'key': 'systemData', 'type': 'SystemData'},
-        'properties': {'key': 'properties', 'type': 'ModelContainerProperties'},
+        "id": {"key": "id", "type": "str"},
+        "name": {"key": "name", "type": "str"},
+        "type": {"key": "type", "type": "str"},
+        "system_data": {"key": "systemData", "type": "SystemData"},
+        "properties": {"key": "properties", "type": "ModelContainerProperties"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword properties: Required. [Required] Additional attributes of the entity.
         :paramtype properties: ~azure.mgmt.machinelearningservices.models.ModelContainerProperties
         """
         super(ModelContainer, self).__init__(**kwargs)
-        self.properties = kwargs['properties']
+        self.properties = kwargs["properties"]
 
 
 class ModelContainerProperties(AssetContainer):
@@ -23129,25 +21894,22 @@ class ModelContainerProperties(AssetContainer):
     """
 
     _validation = {
-        'latest_version': {'readonly': True},
-        'next_version': {'readonly': True},
-        'provisioning_state': {'readonly': True},
+        "latest_version": {"readonly": True},
+        "next_version": {"readonly": True},
+        "provisioning_state": {"readonly": True},
     }
 
     _attribute_map = {
-        'description': {'key': 'description', 'type': 'str'},
-        'properties': {'key': 'properties', 'type': '{str}'},
-        'tags': {'key': 'tags', 'type': '{str}'},
-        'is_archived': {'key': 'isArchived', 'type': 'bool'},
-        'latest_version': {'key': 'latestVersion', 'type': 'str'},
-        'next_version': {'key': 'nextVersion', 'type': 'str'},
-        'provisioning_state': {'key': 'provisioningState', 'type': 'str'},
+        "description": {"key": "description", "type": "str"},
+        "properties": {"key": "properties", "type": "{str}"},
+        "tags": {"key": "tags", "type": "{str}"},
+        "is_archived": {"key": "isArchived", "type": "bool"},
+        "latest_version": {"key": "latestVersion", "type": "str"},
+        "next_version": {"key": "nextVersion", "type": "str"},
+        "provisioning_state": {"key": "provisioningState", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword description: The asset description text.
         :paramtype description: str
@@ -23173,14 +21935,11 @@ class ModelContainerResourceArmPaginatedResult(msrest.serialization.Model):
     """
 
     _attribute_map = {
-        'next_link': {'key': 'nextLink', 'type': 'str'},
-        'value': {'key': 'value', 'type': '[ModelContainer]'},
+        "next_link": {"key": "nextLink", "type": "str"},
+        "value": {"key": "value", "type": "[ModelContainer]"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword next_link: The link to the next page of ModelContainer objects. If null, there are no
          additional pages.
@@ -23189,8 +21948,8 @@ def __init__(
         :paramtype value: list[~azure.mgmt.machinelearningservices.models.ModelContainer]
         """
         super(ModelContainerResourceArmPaginatedResult, self).__init__(**kwargs)
-        self.next_link = kwargs.get('next_link', None)
-        self.value = kwargs.get('value', None)
+        self.next_link = kwargs.get("next_link", None)
+        self.value = kwargs.get("value", None)
 
 
 class ModelDeprecationInfo(msrest.serialization.Model):
@@ -23203,14 +21962,11 @@ class ModelDeprecationInfo(msrest.serialization.Model):
     """
 
     _attribute_map = {
-        'fine_tune': {'key': 'fineTune', 'type': 'str'},
-        'inference': {'key': 'inference', 'type': 'str'},
+        "fine_tune": {"key": "fineTune", "type": "str"},
+        "inference": {"key": "inference", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword fine_tune: The datetime of deprecation of the fineTune Model.
         :paramtype fine_tune: str
@@ -23218,8 +21974,8 @@ def __init__(
         :paramtype inference: str
         """
         super(ModelDeprecationInfo, self).__init__(**kwargs)
-        self.fine_tune = kwargs.get('fine_tune', None)
-        self.inference = kwargs.get('inference', None)
+        self.fine_tune = kwargs.get("fine_tune", None)
+        self.inference = kwargs.get("inference", None)
 
 
 class ModelPackageInput(msrest.serialization.Model):
@@ -23239,21 +21995,18 @@ class ModelPackageInput(msrest.serialization.Model):
     """
 
     _validation = {
-        'input_type': {'required': True},
-        'path': {'required': True},
+        "input_type": {"required": True},
+        "path": {"required": True},
     }
 
     _attribute_map = {
-        'input_type': {'key': 'inputType', 'type': 'str'},
-        'mode': {'key': 'mode', 'type': 'str'},
-        'mount_path': {'key': 'mountPath', 'type': 'str'},
-        'path': {'key': 'path', 'type': 'PackageInputPathBase'},
+        "input_type": {"key": "inputType", "type": "str"},
+        "mode": {"key": "mode", "type": "str"},
+        "mount_path": {"key": "mountPath", "type": "str"},
+        "path": {"key": "path", "type": "PackageInputPathBase"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword input_type: Required. [Required] Type of the input included in the target image.
          Possible values include: "UriFile", "UriFolder".
@@ -23266,10 +22019,10 @@ def __init__(
         :paramtype path: ~azure.mgmt.machinelearningservices.models.PackageInputPathBase
         """
         super(ModelPackageInput, self).__init__(**kwargs)
-        self.input_type = kwargs['input_type']
-        self.mode = kwargs.get('mode', None)
-        self.mount_path = kwargs.get('mount_path', None)
-        self.path = kwargs['path']
+        self.input_type = kwargs["input_type"]
+        self.mode = kwargs.get("mode", None)
+        self.mount_path = kwargs.get("mount_path", None)
+        self.path = kwargs["path"]
 
 
 class ModelPerformanceSignal(MonitoringSignalBase):
@@ -23303,26 +22056,23 @@ class ModelPerformanceSignal(MonitoringSignalBase):
     """
 
     _validation = {
-        'signal_type': {'required': True},
-        'metric_threshold': {'required': True},
-        'production_data': {'required': True},
-        'reference_data': {'required': True},
+        "signal_type": {"required": True},
+        "metric_threshold": {"required": True},
+        "production_data": {"required": True},
+        "reference_data": {"required": True},
     }
 
     _attribute_map = {
-        'notification_types': {'key': 'notificationTypes', 'type': '[str]'},
-        'properties': {'key': 'properties', 'type': '{str}'},
-        'signal_type': {'key': 'signalType', 'type': 'str'},
-        'data_segment': {'key': 'dataSegment', 'type': 'MonitoringDataSegment'},
-        'metric_threshold': {'key': 'metricThreshold', 'type': 'ModelPerformanceMetricThresholdBase'},
-        'production_data': {'key': 'productionData', 'type': '[MonitoringInputDataBase]'},
-        'reference_data': {'key': 'referenceData', 'type': 'MonitoringInputDataBase'},
+        "notification_types": {"key": "notificationTypes", "type": "[str]"},
+        "properties": {"key": "properties", "type": "{str}"},
+        "signal_type": {"key": "signalType", "type": "str"},
+        "data_segment": {"key": "dataSegment", "type": "MonitoringDataSegment"},
+        "metric_threshold": {"key": "metricThreshold", "type": "ModelPerformanceMetricThresholdBase"},
+        "production_data": {"key": "productionData", "type": "[MonitoringInputDataBase]"},
+        "reference_data": {"key": "referenceData", "type": "MonitoringInputDataBase"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword notification_types: The current notification mode for this signal.
         :paramtype notification_types: list[str or
@@ -23344,11 +22094,11 @@ def __init__(
         :paramtype reference_data: ~azure.mgmt.machinelearningservices.models.MonitoringInputDataBase
         """
         super(ModelPerformanceSignal, self).__init__(**kwargs)
-        self.signal_type = 'ModelPerformance'  # type: str
-        self.data_segment = kwargs.get('data_segment', None)
-        self.metric_threshold = kwargs['metric_threshold']
-        self.production_data = kwargs['production_data']
-        self.reference_data = kwargs['reference_data']
+        self.signal_type = "ModelPerformance"  # type: str
+        self.data_segment = kwargs.get("data_segment", None)
+        self.metric_threshold = kwargs["metric_threshold"]
+        self.production_data = kwargs["production_data"]
+        self.reference_data = kwargs["reference_data"]
 
 
 class ModelSettings(msrest.serialization.Model):
@@ -23361,23 +22111,20 @@ class ModelSettings(msrest.serialization.Model):
     """
 
     _validation = {
-        'model_id': {'required': True, 'min_length': 1, 'pattern': r'[a-zA-Z0-9_]'},
+        "model_id": {"required": True, "min_length": 1, "pattern": r"[a-zA-Z0-9_]"},
     }
 
     _attribute_map = {
-        'model_id': {'key': 'modelId', 'type': 'str'},
+        "model_id": {"key": "modelId", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword model_id: Required. [Required].
         :paramtype model_id: str
         """
         super(ModelSettings, self).__init__(**kwargs)
-        self.model_id = kwargs['model_id']
+        self.model_id = kwargs["model_id"]
 
 
 class ModelSku(msrest.serialization.Model):
@@ -23396,17 +22143,14 @@ class ModelSku(msrest.serialization.Model):
     """
 
     _attribute_map = {
-        'name': {'key': 'name', 'type': 'str'},
-        'usage_name': {'key': 'usageName', 'type': 'str'},
-        'deprecation_date': {'key': 'deprecationDate', 'type': 'iso-8601'},
-        'capacity': {'key': 'capacity', 'type': 'CapacityConfig'},
-        'rate_limits': {'key': 'rateLimits', 'type': '[CallRateLimit]'},
+        "name": {"key": "name", "type": "str"},
+        "usage_name": {"key": "usageName", "type": "str"},
+        "deprecation_date": {"key": "deprecationDate", "type": "iso-8601"},
+        "capacity": {"key": "capacity", "type": "CapacityConfig"},
+        "rate_limits": {"key": "rateLimits", "type": "[CallRateLimit]"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword name: The name of the model SKU.
         :paramtype name: str
@@ -23420,11 +22164,11 @@ def __init__(
         :paramtype rate_limits: list[~azure.mgmt.machinelearningservices.models.CallRateLimit]
         """
         super(ModelSku, self).__init__(**kwargs)
-        self.name = kwargs.get('name', None)
-        self.usage_name = kwargs.get('usage_name', None)
-        self.deprecation_date = kwargs.get('deprecation_date', None)
-        self.capacity = kwargs.get('capacity', None)
-        self.rate_limits = kwargs.get('rate_limits', None)
+        self.name = kwargs.get("name", None)
+        self.usage_name = kwargs.get("usage_name", None)
+        self.deprecation_date = kwargs.get("deprecation_date", None)
+        self.capacity = kwargs.get("capacity", None)
+        self.rate_limits = kwargs.get("rate_limits", None)
 
 
 class ModelVersion(ProxyResource):
@@ -23450,31 +22194,28 @@ class ModelVersion(ProxyResource):
     """
 
     _validation = {
-        'id': {'readonly': True},
-        'name': {'readonly': True},
-        'type': {'readonly': True},
-        'system_data': {'readonly': True},
-        'properties': {'required': True},
+        "id": {"readonly": True},
+        "name": {"readonly": True},
+        "type": {"readonly": True},
+        "system_data": {"readonly": True},
+        "properties": {"required": True},
     }
 
     _attribute_map = {
-        'id': {'key': 'id', 'type': 'str'},
-        'name': {'key': 'name', 'type': 'str'},
-        'type': {'key': 'type', 'type': 'str'},
-        'system_data': {'key': 'systemData', 'type': 'SystemData'},
-        'properties': {'key': 'properties', 'type': 'ModelVersionProperties'},
+        "id": {"key": "id", "type": "str"},
+        "name": {"key": "name", "type": "str"},
+        "type": {"key": "type", "type": "str"},
+        "system_data": {"key": "systemData", "type": "SystemData"},
+        "properties": {"key": "properties", "type": "ModelVersionProperties"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword properties: Required. [Required] Additional attributes of the entity.
         :paramtype properties: ~azure.mgmt.machinelearningservices.models.ModelVersionProperties
         """
         super(ModelVersion, self).__init__(**kwargs)
-        self.properties = kwargs['properties']
+        self.properties = kwargs["properties"]
 
 
 class ModelVersionProperties(AssetBase):
@@ -23516,29 +22257,26 @@ class ModelVersionProperties(AssetBase):
     """
 
     _validation = {
-        'provisioning_state': {'readonly': True},
+        "provisioning_state": {"readonly": True},
     }
 
     _attribute_map = {
-        'description': {'key': 'description', 'type': 'str'},
-        'properties': {'key': 'properties', 'type': '{str}'},
-        'tags': {'key': 'tags', 'type': '{str}'},
-        'auto_delete_setting': {'key': 'autoDeleteSetting', 'type': 'AutoDeleteSetting'},
-        'is_anonymous': {'key': 'isAnonymous', 'type': 'bool'},
-        'is_archived': {'key': 'isArchived', 'type': 'bool'},
-        'flavors': {'key': 'flavors', 'type': '{FlavorData}'},
-        'intellectual_property': {'key': 'intellectualProperty', 'type': 'IntellectualProperty'},
-        'job_name': {'key': 'jobName', 'type': 'str'},
-        'model_type': {'key': 'modelType', 'type': 'str'},
-        'model_uri': {'key': 'modelUri', 'type': 'str'},
-        'provisioning_state': {'key': 'provisioningState', 'type': 'str'},
-        'stage': {'key': 'stage', 'type': 'str'},
+        "description": {"key": "description", "type": "str"},
+        "properties": {"key": "properties", "type": "{str}"},
+        "tags": {"key": "tags", "type": "{str}"},
+        "auto_delete_setting": {"key": "autoDeleteSetting", "type": "AutoDeleteSetting"},
+        "is_anonymous": {"key": "isAnonymous", "type": "bool"},
+        "is_archived": {"key": "isArchived", "type": "bool"},
+        "flavors": {"key": "flavors", "type": "{FlavorData}"},
+        "intellectual_property": {"key": "intellectualProperty", "type": "IntellectualProperty"},
+        "job_name": {"key": "jobName", "type": "str"},
+        "model_type": {"key": "modelType", "type": "str"},
+        "model_uri": {"key": "modelUri", "type": "str"},
+        "provisioning_state": {"key": "provisioningState", "type": "str"},
+        "stage": {"key": "stage", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword description: The asset description text.
         :paramtype description: str
@@ -23570,13 +22308,13 @@ def __init__(
         :paramtype stage: str
         """
         super(ModelVersionProperties, self).__init__(**kwargs)
-        self.flavors = kwargs.get('flavors', None)
-        self.intellectual_property = kwargs.get('intellectual_property', None)
-        self.job_name = kwargs.get('job_name', None)
-        self.model_type = kwargs.get('model_type', None)
-        self.model_uri = kwargs.get('model_uri', None)
+        self.flavors = kwargs.get("flavors", None)
+        self.intellectual_property = kwargs.get("intellectual_property", None)
+        self.job_name = kwargs.get("job_name", None)
+        self.model_type = kwargs.get("model_type", None)
+        self.model_uri = kwargs.get("model_uri", None)
         self.provisioning_state = None
-        self.stage = kwargs.get('stage', None)
+        self.stage = kwargs.get("stage", None)
 
 
 class ModelVersionResourceArmPaginatedResult(msrest.serialization.Model):
@@ -23590,14 +22328,11 @@ class ModelVersionResourceArmPaginatedResult(msrest.serialization.Model):
     """
 
     _attribute_map = {
-        'next_link': {'key': 'nextLink', 'type': 'str'},
-        'value': {'key': 'value', 'type': '[ModelVersion]'},
+        "next_link": {"key": "nextLink", "type": "str"},
+        "value": {"key": "value", "type": "[ModelVersion]"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword next_link: The link to the next page of ModelVersion objects. If null, there are no
          additional pages.
@@ -23606,8 +22341,8 @@ def __init__(
         :paramtype value: list[~azure.mgmt.machinelearningservices.models.ModelVersion]
         """
         super(ModelVersionResourceArmPaginatedResult, self).__init__(**kwargs)
-        self.next_link = kwargs.get('next_link', None)
-        self.value = kwargs.get('value', None)
+        self.next_link = kwargs.get("next_link", None)
+        self.value = kwargs.get("value", None)
 
 
 class MonitorComputeConfigurationBase(msrest.serialization.Model):
@@ -23624,23 +22359,17 @@ class MonitorComputeConfigurationBase(msrest.serialization.Model):
     """
 
     _validation = {
-        'compute_type': {'required': True},
+        "compute_type": {"required": True},
     }
 
     _attribute_map = {
-        'compute_type': {'key': 'computeType', 'type': 'str'},
+        "compute_type": {"key": "computeType", "type": "str"},
     }
 
-    _subtype_map = {
-        'compute_type': {'ServerlessSpark': 'MonitorServerlessSparkCompute'}
-    }
+    _subtype_map = {"compute_type": {"ServerlessSpark": "MonitorServerlessSparkCompute"}}
 
-    def __init__(
-            self,
-            **kwargs
-    ):
-        """
-        """
+    def __init__(self, **kwargs):
+        """ """
         super(MonitorComputeConfigurationBase, self).__init__(**kwargs)
         self.compute_type = None  # type: Optional[str]
 
@@ -23665,21 +22394,18 @@ class MonitorDefinition(msrest.serialization.Model):
     """
 
     _validation = {
-        'compute_configuration': {'required': True},
-        'signals': {'required': True},
+        "compute_configuration": {"required": True},
+        "signals": {"required": True},
     }
 
     _attribute_map = {
-        'alert_notification_settings': {'key': 'alertNotificationSettings', 'type': 'MonitorNotificationSettings'},
-        'compute_configuration': {'key': 'computeConfiguration', 'type': 'MonitorComputeConfigurationBase'},
-        'monitoring_target': {'key': 'monitoringTarget', 'type': 'MonitoringTarget'},
-        'signals': {'key': 'signals', 'type': '{MonitoringSignalBase}'},
+        "alert_notification_settings": {"key": "alertNotificationSettings", "type": "MonitorNotificationSettings"},
+        "compute_configuration": {"key": "computeConfiguration", "type": "MonitorComputeConfigurationBase"},
+        "monitoring_target": {"key": "monitoringTarget", "type": "MonitoringTarget"},
+        "signals": {"key": "signals", "type": "{MonitoringSignalBase}"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword alert_notification_settings: The monitor's notification settings.
         :paramtype alert_notification_settings:
@@ -23695,10 +22421,10 @@ def __init__(
         :paramtype signals: dict[str, ~azure.mgmt.machinelearningservices.models.MonitoringSignalBase]
         """
         super(MonitorDefinition, self).__init__(**kwargs)
-        self.alert_notification_settings = kwargs.get('alert_notification_settings', None)
-        self.compute_configuration = kwargs['compute_configuration']
-        self.monitoring_target = kwargs.get('monitoring_target', None)
-        self.signals = kwargs['signals']
+        self.alert_notification_settings = kwargs.get("alert_notification_settings", None)
+        self.compute_configuration = kwargs["compute_configuration"]
+        self.monitoring_target = kwargs.get("monitoring_target", None)
+        self.signals = kwargs["signals"]
 
 
 class MonitorEmailNotificationSettings(msrest.serialization.Model):
@@ -23710,20 +22436,17 @@ class MonitorEmailNotificationSettings(msrest.serialization.Model):
     """
 
     _attribute_map = {
-        'emails': {'key': 'emails', 'type': '[str]'},
+        "emails": {"key": "emails", "type": "[str]"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword emails: This is the email recipient list which has a limitation of 499 characters in
          total.
         :paramtype emails: list[str]
         """
         super(MonitorEmailNotificationSettings, self).__init__(**kwargs)
-        self.emails = kwargs.get('emails', None)
+        self.emails = kwargs.get("emails", None)
 
 
 class MonitoringDataSegment(msrest.serialization.Model):
@@ -23736,14 +22459,11 @@ class MonitoringDataSegment(msrest.serialization.Model):
     """
 
     _attribute_map = {
-        'feature': {'key': 'feature', 'type': 'str'},
-        'values': {'key': 'values', 'type': '[str]'},
+        "feature": {"key": "feature", "type": "str"},
+        "values": {"key": "values", "type": "[str]"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword feature: The feature to segment the data on.
         :paramtype feature: str
@@ -23751,8 +22471,8 @@ def __init__(
         :paramtype values: list[str]
         """
         super(MonitoringDataSegment, self).__init__(**kwargs)
-        self.feature = kwargs.get('feature', None)
-        self.values = kwargs.get('values', None)
+        self.feature = kwargs.get("feature", None)
+        self.values = kwargs.get("values", None)
 
 
 class MonitoringTarget(msrest.serialization.Model):
@@ -23770,19 +22490,16 @@ class MonitoringTarget(msrest.serialization.Model):
     """
 
     _validation = {
-        'task_type': {'required': True},
+        "task_type": {"required": True},
     }
 
     _attribute_map = {
-        'deployment_id': {'key': 'deploymentId', 'type': 'str'},
-        'model_id': {'key': 'modelId', 'type': 'str'},
-        'task_type': {'key': 'taskType', 'type': 'str'},
+        "deployment_id": {"key": "deploymentId", "type": "str"},
+        "model_id": {"key": "modelId", "type": "str"},
+        "task_type": {"key": "taskType", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword deployment_id: The ARM resource ID of either the deployment targeted by this monitor.
         :paramtype deployment_id: str
@@ -23793,9 +22510,9 @@ def __init__(
         :paramtype task_type: str or ~azure.mgmt.machinelearningservices.models.ModelTaskType
         """
         super(MonitoringTarget, self).__init__(**kwargs)
-        self.deployment_id = kwargs.get('deployment_id', None)
-        self.model_id = kwargs.get('model_id', None)
-        self.task_type = kwargs['task_type']
+        self.deployment_id = kwargs.get("deployment_id", None)
+        self.model_id = kwargs.get("model_id", None)
+        self.task_type = kwargs["task_type"]
 
 
 class MonitoringThreshold(msrest.serialization.Model):
@@ -23806,19 +22523,16 @@ class MonitoringThreshold(msrest.serialization.Model):
     """
 
     _attribute_map = {
-        'value': {'key': 'value', 'type': 'float'},
+        "value": {"key": "value", "type": "float"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword value: The threshold value. If null, the set default is dependent on the metric type.
         :paramtype value: float
         """
         super(MonitoringThreshold, self).__init__(**kwargs)
-        self.value = kwargs.get('value', None)
+        self.value = kwargs.get("value", None)
 
 
 class MonitoringWorkspaceConnection(msrest.serialization.Model):
@@ -23835,14 +22549,11 @@ class MonitoringWorkspaceConnection(msrest.serialization.Model):
     """
 
     _attribute_map = {
-        'environment_variables': {'key': 'environmentVariables', 'type': '{str}'},
-        'secrets': {'key': 'secrets', 'type': '{str}'},
+        "environment_variables": {"key": "environmentVariables", "type": "{str}"},
+        "secrets": {"key": "secrets", "type": "{str}"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword environment_variables: The properties of a workspace service connection to store as
          environment variables in the submitted jobs.
@@ -23854,8 +22565,8 @@ def __init__(
         :paramtype secrets: dict[str, str]
         """
         super(MonitoringWorkspaceConnection, self).__init__(**kwargs)
-        self.environment_variables = kwargs.get('environment_variables', None)
-        self.secrets = kwargs.get('secrets', None)
+        self.environment_variables = kwargs.get("environment_variables", None)
+        self.secrets = kwargs.get("secrets", None)
 
 
 class MonitorNotificationSettings(msrest.serialization.Model):
@@ -23867,20 +22578,17 @@ class MonitorNotificationSettings(msrest.serialization.Model):
     """
 
     _attribute_map = {
-        'email_notification_settings': {'key': 'emailNotificationSettings', 'type': 'MonitorEmailNotificationSettings'},
+        "email_notification_settings": {"key": "emailNotificationSettings", "type": "MonitorEmailNotificationSettings"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword email_notification_settings: The AML notification email settings.
         :paramtype email_notification_settings:
          ~azure.mgmt.machinelearningservices.models.MonitorEmailNotificationSettings
         """
         super(MonitorNotificationSettings, self).__init__(**kwargs)
-        self.email_notification_settings = kwargs.get('email_notification_settings', None)
+        self.email_notification_settings = kwargs.get("email_notification_settings", None)
 
 
 class MonitorServerlessSparkCompute(MonitorComputeConfigurationBase):
@@ -23902,23 +22610,20 @@ class MonitorServerlessSparkCompute(MonitorComputeConfigurationBase):
     """
 
     _validation = {
-        'compute_type': {'required': True},
-        'compute_identity': {'required': True},
-        'instance_type': {'required': True, 'min_length': 1, 'pattern': r'[a-zA-Z0-9_]'},
-        'runtime_version': {'required': True, 'min_length': 1, 'pattern': r'^[0-9]+\.[0-9]+$'},
+        "compute_type": {"required": True},
+        "compute_identity": {"required": True},
+        "instance_type": {"required": True, "min_length": 1, "pattern": r"[a-zA-Z0-9_]"},
+        "runtime_version": {"required": True, "min_length": 1, "pattern": r"^[0-9]+\.[0-9]+$"},
     }
 
     _attribute_map = {
-        'compute_type': {'key': 'computeType', 'type': 'str'},
-        'compute_identity': {'key': 'computeIdentity', 'type': 'MonitorComputeIdentityBase'},
-        'instance_type': {'key': 'instanceType', 'type': 'str'},
-        'runtime_version': {'key': 'runtimeVersion', 'type': 'str'},
+        "compute_type": {"key": "computeType", "type": "str"},
+        "compute_identity": {"key": "computeIdentity", "type": "MonitorComputeIdentityBase"},
+        "instance_type": {"key": "instanceType", "type": "str"},
+        "runtime_version": {"key": "runtimeVersion", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword compute_identity: Required. [Required] The identity scheme leveraged to by the spark
          jobs running on serverless Spark.
@@ -23930,10 +22635,10 @@ def __init__(
         :paramtype runtime_version: str
         """
         super(MonitorServerlessSparkCompute, self).__init__(**kwargs)
-        self.compute_type = 'ServerlessSpark'  # type: str
-        self.compute_identity = kwargs['compute_identity']
-        self.instance_type = kwargs['instance_type']
-        self.runtime_version = kwargs['runtime_version']
+        self.compute_type = "ServerlessSpark"  # type: str
+        self.compute_identity = kwargs["compute_identity"]
+        self.instance_type = kwargs["instance_type"]
+        self.runtime_version = kwargs["runtime_version"]
 
 
 class Mpi(DistributionConfiguration):
@@ -23950,25 +22655,22 @@ class Mpi(DistributionConfiguration):
     """
 
     _validation = {
-        'distribution_type': {'required': True},
+        "distribution_type": {"required": True},
     }
 
     _attribute_map = {
-        'distribution_type': {'key': 'distributionType', 'type': 'str'},
-        'process_count_per_instance': {'key': 'processCountPerInstance', 'type': 'int'},
+        "distribution_type": {"key": "distributionType", "type": "str"},
+        "process_count_per_instance": {"key": "processCountPerInstance", "type": "int"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword process_count_per_instance: Number of processes per MPI node.
         :paramtype process_count_per_instance: int
         """
         super(Mpi, self).__init__(**kwargs)
-        self.distribution_type = 'Mpi'  # type: str
-        self.process_count_per_instance = kwargs.get('process_count_per_instance', None)
+        self.distribution_type = "Mpi"  # type: str
+        self.process_count_per_instance = kwargs.get("process_count_per_instance", None)
 
 
 class NlpFixedParameters(msrest.serialization.Model):
@@ -23999,21 +22701,18 @@ class NlpFixedParameters(msrest.serialization.Model):
     """
 
     _attribute_map = {
-        'gradient_accumulation_steps': {'key': 'gradientAccumulationSteps', 'type': 'int'},
-        'learning_rate': {'key': 'learningRate', 'type': 'float'},
-        'learning_rate_scheduler': {'key': 'learningRateScheduler', 'type': 'str'},
-        'model_name': {'key': 'modelName', 'type': 'str'},
-        'number_of_epochs': {'key': 'numberOfEpochs', 'type': 'int'},
-        'training_batch_size': {'key': 'trainingBatchSize', 'type': 'int'},
-        'validation_batch_size': {'key': 'validationBatchSize', 'type': 'int'},
-        'warmup_ratio': {'key': 'warmupRatio', 'type': 'float'},
-        'weight_decay': {'key': 'weightDecay', 'type': 'float'},
+        "gradient_accumulation_steps": {"key": "gradientAccumulationSteps", "type": "int"},
+        "learning_rate": {"key": "learningRate", "type": "float"},
+        "learning_rate_scheduler": {"key": "learningRateScheduler", "type": "str"},
+        "model_name": {"key": "modelName", "type": "str"},
+        "number_of_epochs": {"key": "numberOfEpochs", "type": "int"},
+        "training_batch_size": {"key": "trainingBatchSize", "type": "int"},
+        "validation_batch_size": {"key": "validationBatchSize", "type": "int"},
+        "warmup_ratio": {"key": "warmupRatio", "type": "float"},
+        "weight_decay": {"key": "weightDecay", "type": "float"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword gradient_accumulation_steps: Number of steps to accumulate gradients over before
          running a backward pass.
@@ -24039,15 +22738,15 @@ def __init__(
         :paramtype weight_decay: float
         """
         super(NlpFixedParameters, self).__init__(**kwargs)
-        self.gradient_accumulation_steps = kwargs.get('gradient_accumulation_steps', None)
-        self.learning_rate = kwargs.get('learning_rate', None)
-        self.learning_rate_scheduler = kwargs.get('learning_rate_scheduler', None)
-        self.model_name = kwargs.get('model_name', None)
-        self.number_of_epochs = kwargs.get('number_of_epochs', None)
-        self.training_batch_size = kwargs.get('training_batch_size', None)
-        self.validation_batch_size = kwargs.get('validation_batch_size', None)
-        self.warmup_ratio = kwargs.get('warmup_ratio', None)
-        self.weight_decay = kwargs.get('weight_decay', None)
+        self.gradient_accumulation_steps = kwargs.get("gradient_accumulation_steps", None)
+        self.learning_rate = kwargs.get("learning_rate", None)
+        self.learning_rate_scheduler = kwargs.get("learning_rate_scheduler", None)
+        self.model_name = kwargs.get("model_name", None)
+        self.number_of_epochs = kwargs.get("number_of_epochs", None)
+        self.training_batch_size = kwargs.get("training_batch_size", None)
+        self.validation_batch_size = kwargs.get("validation_batch_size", None)
+        self.warmup_ratio = kwargs.get("warmup_ratio", None)
+        self.weight_decay = kwargs.get("weight_decay", None)
 
 
 class NlpParameterSubspace(msrest.serialization.Model):
@@ -24076,21 +22775,18 @@ class NlpParameterSubspace(msrest.serialization.Model):
     """
 
     _attribute_map = {
-        'gradient_accumulation_steps': {'key': 'gradientAccumulationSteps', 'type': 'str'},
-        'learning_rate': {'key': 'learningRate', 'type': 'str'},
-        'learning_rate_scheduler': {'key': 'learningRateScheduler', 'type': 'str'},
-        'model_name': {'key': 'modelName', 'type': 'str'},
-        'number_of_epochs': {'key': 'numberOfEpochs', 'type': 'str'},
-        'training_batch_size': {'key': 'trainingBatchSize', 'type': 'str'},
-        'validation_batch_size': {'key': 'validationBatchSize', 'type': 'str'},
-        'warmup_ratio': {'key': 'warmupRatio', 'type': 'str'},
-        'weight_decay': {'key': 'weightDecay', 'type': 'str'},
+        "gradient_accumulation_steps": {"key": "gradientAccumulationSteps", "type": "str"},
+        "learning_rate": {"key": "learningRate", "type": "str"},
+        "learning_rate_scheduler": {"key": "learningRateScheduler", "type": "str"},
+        "model_name": {"key": "modelName", "type": "str"},
+        "number_of_epochs": {"key": "numberOfEpochs", "type": "str"},
+        "training_batch_size": {"key": "trainingBatchSize", "type": "str"},
+        "validation_batch_size": {"key": "validationBatchSize", "type": "str"},
+        "warmup_ratio": {"key": "warmupRatio", "type": "str"},
+        "weight_decay": {"key": "weightDecay", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword gradient_accumulation_steps: Number of steps to accumulate gradients over before
          running a backward pass.
@@ -24114,15 +22810,15 @@ def __init__(
         :paramtype weight_decay: str
         """
         super(NlpParameterSubspace, self).__init__(**kwargs)
-        self.gradient_accumulation_steps = kwargs.get('gradient_accumulation_steps', None)
-        self.learning_rate = kwargs.get('learning_rate', None)
-        self.learning_rate_scheduler = kwargs.get('learning_rate_scheduler', None)
-        self.model_name = kwargs.get('model_name', None)
-        self.number_of_epochs = kwargs.get('number_of_epochs', None)
-        self.training_batch_size = kwargs.get('training_batch_size', None)
-        self.validation_batch_size = kwargs.get('validation_batch_size', None)
-        self.warmup_ratio = kwargs.get('warmup_ratio', None)
-        self.weight_decay = kwargs.get('weight_decay', None)
+        self.gradient_accumulation_steps = kwargs.get("gradient_accumulation_steps", None)
+        self.learning_rate = kwargs.get("learning_rate", None)
+        self.learning_rate_scheduler = kwargs.get("learning_rate_scheduler", None)
+        self.model_name = kwargs.get("model_name", None)
+        self.number_of_epochs = kwargs.get("number_of_epochs", None)
+        self.training_batch_size = kwargs.get("training_batch_size", None)
+        self.validation_batch_size = kwargs.get("validation_batch_size", None)
+        self.warmup_ratio = kwargs.get("warmup_ratio", None)
+        self.weight_decay = kwargs.get("weight_decay", None)
 
 
 class NlpSweepSettings(msrest.serialization.Model):
@@ -24139,18 +22835,15 @@ class NlpSweepSettings(msrest.serialization.Model):
     """
 
     _validation = {
-        'sampling_algorithm': {'required': True},
+        "sampling_algorithm": {"required": True},
     }
 
     _attribute_map = {
-        'early_termination': {'key': 'earlyTermination', 'type': 'EarlyTerminationPolicy'},
-        'sampling_algorithm': {'key': 'samplingAlgorithm', 'type': 'str'},
+        "early_termination": {"key": "earlyTermination", "type": "EarlyTerminationPolicy"},
+        "sampling_algorithm": {"key": "samplingAlgorithm", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword early_termination: Type of early termination policy for the sweeping job.
         :paramtype early_termination: ~azure.mgmt.machinelearningservices.models.EarlyTerminationPolicy
@@ -24160,44 +22853,41 @@ def __init__(
          ~azure.mgmt.machinelearningservices.models.SamplingAlgorithmType
         """
         super(NlpSweepSettings, self).__init__(**kwargs)
-        self.early_termination = kwargs.get('early_termination', None)
-        self.sampling_algorithm = kwargs['sampling_algorithm']
+        self.early_termination = kwargs.get("early_termination", None)
+        self.sampling_algorithm = kwargs["sampling_algorithm"]
 
 
 class NlpVertical(msrest.serialization.Model):
     """Abstract class for NLP related AutoML tasks.
-NLP - Natural Language Processing.
+    NLP - Natural Language Processing.
 
-    :ivar featurization_settings: Featurization inputs needed for AutoML job.
-    :vartype featurization_settings:
-     ~azure.mgmt.machinelearningservices.models.NlpVerticalFeaturizationSettings
-    :ivar fixed_parameters: Model/training parameters that will remain constant throughout
-     training.
-    :vartype fixed_parameters: ~azure.mgmt.machinelearningservices.models.NlpFixedParameters
-    :ivar limit_settings: Execution constraints for AutoMLJob.
-    :vartype limit_settings: ~azure.mgmt.machinelearningservices.models.NlpVerticalLimitSettings
-    :ivar search_space: Search space for sampling different combinations of models and their
-     hyperparameters.
-    :vartype search_space: list[~azure.mgmt.machinelearningservices.models.NlpParameterSubspace]
-    :ivar sweep_settings: Settings for model sweeping and hyperparameter tuning.
-    :vartype sweep_settings: ~azure.mgmt.machinelearningservices.models.NlpSweepSettings
-    :ivar validation_data: Validation data inputs.
-    :vartype validation_data: ~azure.mgmt.machinelearningservices.models.MLTableJobInput
+        :ivar featurization_settings: Featurization inputs needed for AutoML job.
+        :vartype featurization_settings:
+         ~azure.mgmt.machinelearningservices.models.NlpVerticalFeaturizationSettings
+        :ivar fixed_parameters: Model/training parameters that will remain constant throughout
+         training.
+        :vartype fixed_parameters: ~azure.mgmt.machinelearningservices.models.NlpFixedParameters
+        :ivar limit_settings: Execution constraints for AutoMLJob.
+        :vartype limit_settings: ~azure.mgmt.machinelearningservices.models.NlpVerticalLimitSettings
+        :ivar search_space: Search space for sampling different combinations of models and their
+         hyperparameters.
+        :vartype search_space: list[~azure.mgmt.machinelearningservices.models.NlpParameterSubspace]
+        :ivar sweep_settings: Settings for model sweeping and hyperparameter tuning.
+        :vartype sweep_settings: ~azure.mgmt.machinelearningservices.models.NlpSweepSettings
+        :ivar validation_data: Validation data inputs.
+        :vartype validation_data: ~azure.mgmt.machinelearningservices.models.MLTableJobInput
     """
 
     _attribute_map = {
-        'featurization_settings': {'key': 'featurizationSettings', 'type': 'NlpVerticalFeaturizationSettings'},
-        'fixed_parameters': {'key': 'fixedParameters', 'type': 'NlpFixedParameters'},
-        'limit_settings': {'key': 'limitSettings', 'type': 'NlpVerticalLimitSettings'},
-        'search_space': {'key': 'searchSpace', 'type': '[NlpParameterSubspace]'},
-        'sweep_settings': {'key': 'sweepSettings', 'type': 'NlpSweepSettings'},
-        'validation_data': {'key': 'validationData', 'type': 'MLTableJobInput'},
+        "featurization_settings": {"key": "featurizationSettings", "type": "NlpVerticalFeaturizationSettings"},
+        "fixed_parameters": {"key": "fixedParameters", "type": "NlpFixedParameters"},
+        "limit_settings": {"key": "limitSettings", "type": "NlpVerticalLimitSettings"},
+        "search_space": {"key": "searchSpace", "type": "[NlpParameterSubspace]"},
+        "sweep_settings": {"key": "sweepSettings", "type": "NlpSweepSettings"},
+        "validation_data": {"key": "validationData", "type": "MLTableJobInput"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword featurization_settings: Featurization inputs needed for AutoML job.
         :paramtype featurization_settings:
@@ -24216,12 +22906,12 @@ def __init__(
         :paramtype validation_data: ~azure.mgmt.machinelearningservices.models.MLTableJobInput
         """
         super(NlpVertical, self).__init__(**kwargs)
-        self.featurization_settings = kwargs.get('featurization_settings', None)
-        self.fixed_parameters = kwargs.get('fixed_parameters', None)
-        self.limit_settings = kwargs.get('limit_settings', None)
-        self.search_space = kwargs.get('search_space', None)
-        self.sweep_settings = kwargs.get('sweep_settings', None)
-        self.validation_data = kwargs.get('validation_data', None)
+        self.featurization_settings = kwargs.get("featurization_settings", None)
+        self.fixed_parameters = kwargs.get("fixed_parameters", None)
+        self.limit_settings = kwargs.get("limit_settings", None)
+        self.search_space = kwargs.get("search_space", None)
+        self.sweep_settings = kwargs.get("sweep_settings", None)
+        self.validation_data = kwargs.get("validation_data", None)
 
 
 class NlpVerticalFeaturizationSettings(FeaturizationSettings):
@@ -24232,13 +22922,10 @@ class NlpVerticalFeaturizationSettings(FeaturizationSettings):
     """
 
     _attribute_map = {
-        'dataset_language': {'key': 'datasetLanguage', 'type': 'str'},
+        "dataset_language": {"key": "datasetLanguage", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword dataset_language: Dataset language, useful for the text data.
         :paramtype dataset_language: str
@@ -24262,17 +22949,14 @@ class NlpVerticalLimitSettings(msrest.serialization.Model):
     """
 
     _attribute_map = {
-        'max_concurrent_trials': {'key': 'maxConcurrentTrials', 'type': 'int'},
-        'max_nodes': {'key': 'maxNodes', 'type': 'int'},
-        'max_trials': {'key': 'maxTrials', 'type': 'int'},
-        'timeout': {'key': 'timeout', 'type': 'duration'},
-        'trial_timeout': {'key': 'trialTimeout', 'type': 'duration'},
+        "max_concurrent_trials": {"key": "maxConcurrentTrials", "type": "int"},
+        "max_nodes": {"key": "maxNodes", "type": "int"},
+        "max_trials": {"key": "maxTrials", "type": "int"},
+        "timeout": {"key": "timeout", "type": "duration"},
+        "trial_timeout": {"key": "trialTimeout", "type": "duration"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword max_concurrent_trials: Maximum Concurrent AutoML iterations.
         :paramtype max_concurrent_trials: int
@@ -24286,11 +22970,11 @@ def __init__(
         :paramtype trial_timeout: ~datetime.timedelta
         """
         super(NlpVerticalLimitSettings, self).__init__(**kwargs)
-        self.max_concurrent_trials = kwargs.get('max_concurrent_trials', 1)
-        self.max_nodes = kwargs.get('max_nodes', 1)
-        self.max_trials = kwargs.get('max_trials', 1)
-        self.timeout = kwargs.get('timeout', "P7D")
-        self.trial_timeout = kwargs.get('trial_timeout', None)
+        self.max_concurrent_trials = kwargs.get("max_concurrent_trials", 1)
+        self.max_nodes = kwargs.get("max_nodes", 1)
+        self.max_trials = kwargs.get("max_trials", 1)
+        self.timeout = kwargs.get("timeout", "P7D")
+        self.trial_timeout = kwargs.get("trial_timeout", None)
 
 
 class NodeStateCounts(msrest.serialization.Model):
@@ -24313,29 +22997,25 @@ class NodeStateCounts(msrest.serialization.Model):
     """
 
     _validation = {
-        'idle_node_count': {'readonly': True},
-        'running_node_count': {'readonly': True},
-        'preparing_node_count': {'readonly': True},
-        'unusable_node_count': {'readonly': True},
-        'leaving_node_count': {'readonly': True},
-        'preempted_node_count': {'readonly': True},
+        "idle_node_count": {"readonly": True},
+        "running_node_count": {"readonly": True},
+        "preparing_node_count": {"readonly": True},
+        "unusable_node_count": {"readonly": True},
+        "leaving_node_count": {"readonly": True},
+        "preempted_node_count": {"readonly": True},
     }
 
     _attribute_map = {
-        'idle_node_count': {'key': 'idleNodeCount', 'type': 'int'},
-        'running_node_count': {'key': 'runningNodeCount', 'type': 'int'},
-        'preparing_node_count': {'key': 'preparingNodeCount', 'type': 'int'},
-        'unusable_node_count': {'key': 'unusableNodeCount', 'type': 'int'},
-        'leaving_node_count': {'key': 'leavingNodeCount', 'type': 'int'},
-        'preempted_node_count': {'key': 'preemptedNodeCount', 'type': 'int'},
+        "idle_node_count": {"key": "idleNodeCount", "type": "int"},
+        "running_node_count": {"key": "runningNodeCount", "type": "int"},
+        "preparing_node_count": {"key": "preparingNodeCount", "type": "int"},
+        "unusable_node_count": {"key": "unusableNodeCount", "type": "int"},
+        "leaving_node_count": {"key": "leavingNodeCount", "type": "int"},
+        "preempted_node_count": {"key": "preemptedNodeCount", "type": "int"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
-        """
-        """
+    def __init__(self, **kwargs):
+        """ """
         super(NodeStateCounts, self).__init__(**kwargs)
         self.idle_node_count = None
         self.running_node_count = None
@@ -24392,27 +23072,24 @@ class NoneAuthTypeWorkspaceConnectionProperties(WorkspaceConnectionPropertiesV2)
     """
 
     _validation = {
-        'auth_type': {'required': True},
-        'created_by_workspace_arm_id': {'readonly': True},
-        'group': {'readonly': True},
+        "auth_type": {"required": True},
+        "created_by_workspace_arm_id": {"readonly": True},
+        "group": {"readonly": True},
     }
 
     _attribute_map = {
-        'auth_type': {'key': 'authType', 'type': 'str'},
-        'category': {'key': 'category', 'type': 'str'},
-        'created_by_workspace_arm_id': {'key': 'createdByWorkspaceArmId', 'type': 'str'},
-        'expiry_time': {'key': 'expiryTime', 'type': 'iso-8601'},
-        'group': {'key': 'group', 'type': 'str'},
-        'is_shared_to_all': {'key': 'isSharedToAll', 'type': 'bool'},
-        'metadata': {'key': 'metadata', 'type': 'object'},
-        'shared_user_list': {'key': 'sharedUserList', 'type': '[str]'},
-        'target': {'key': 'target', 'type': 'str'},
+        "auth_type": {"key": "authType", "type": "str"},
+        "category": {"key": "category", "type": "str"},
+        "created_by_workspace_arm_id": {"key": "createdByWorkspaceArmId", "type": "str"},
+        "expiry_time": {"key": "expiryTime", "type": "iso-8601"},
+        "group": {"key": "group", "type": "str"},
+        "is_shared_to_all": {"key": "isSharedToAll", "type": "bool"},
+        "metadata": {"key": "metadata", "type": "object"},
+        "shared_user_list": {"key": "sharedUserList", "type": "[str]"},
+        "target": {"key": "target", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword category: Category of the connection. Possible values include: "PythonFeed",
          "ContainerRegistry", "Git", "S3", "Snowflake", "AzureSqlDb", "AzureSynapseAnalytics",
@@ -24444,7 +23121,7 @@ def __init__(
         :paramtype target: str
         """
         super(NoneAuthTypeWorkspaceConnectionProperties, self).__init__(**kwargs)
-        self.auth_type = 'None'  # type: str
+        self.auth_type = "None"  # type: str
 
 
 class NoneDatastoreCredentials(DatastoreCredentials):
@@ -24459,21 +23136,17 @@ class NoneDatastoreCredentials(DatastoreCredentials):
     """
 
     _validation = {
-        'credentials_type': {'required': True},
+        "credentials_type": {"required": True},
     }
 
     _attribute_map = {
-        'credentials_type': {'key': 'credentialsType', 'type': 'str'},
+        "credentials_type": {"key": "credentialsType", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
-        """
-        """
+    def __init__(self, **kwargs):
+        """ """
         super(NoneDatastoreCredentials, self).__init__(**kwargs)
-        self.credentials_type = 'None'  # type: str
+        self.credentials_type = "None"  # type: str
 
 
 class NotebookAccessTokenResult(msrest.serialization.Model):
@@ -24500,33 +23173,29 @@ class NotebookAccessTokenResult(msrest.serialization.Model):
     """
 
     _validation = {
-        'access_token': {'readonly': True},
-        'expires_in': {'readonly': True},
-        'host_name': {'readonly': True},
-        'notebook_resource_id': {'readonly': True},
-        'public_dns': {'readonly': True},
-        'refresh_token': {'readonly': True},
-        'scope': {'readonly': True},
-        'token_type': {'readonly': True},
+        "access_token": {"readonly": True},
+        "expires_in": {"readonly": True},
+        "host_name": {"readonly": True},
+        "notebook_resource_id": {"readonly": True},
+        "public_dns": {"readonly": True},
+        "refresh_token": {"readonly": True},
+        "scope": {"readonly": True},
+        "token_type": {"readonly": True},
     }
 
     _attribute_map = {
-        'access_token': {'key': 'accessToken', 'type': 'str'},
-        'expires_in': {'key': 'expiresIn', 'type': 'int'},
-        'host_name': {'key': 'hostName', 'type': 'str'},
-        'notebook_resource_id': {'key': 'notebookResourceId', 'type': 'str'},
-        'public_dns': {'key': 'publicDns', 'type': 'str'},
-        'refresh_token': {'key': 'refreshToken', 'type': 'str'},
-        'scope': {'key': 'scope', 'type': 'str'},
-        'token_type': {'key': 'tokenType', 'type': 'str'},
+        "access_token": {"key": "accessToken", "type": "str"},
+        "expires_in": {"key": "expiresIn", "type": "int"},
+        "host_name": {"key": "hostName", "type": "str"},
+        "notebook_resource_id": {"key": "notebookResourceId", "type": "str"},
+        "public_dns": {"key": "publicDns", "type": "str"},
+        "refresh_token": {"key": "refreshToken", "type": "str"},
+        "scope": {"key": "scope", "type": "str"},
+        "token_type": {"key": "tokenType", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
-        """
-        """
+    def __init__(self, **kwargs):
+        """ """
         super(NotebookAccessTokenResult, self).__init__(**kwargs)
         self.access_token = None
         self.expires_in = None
@@ -24548,14 +23217,11 @@ class NotebookPreparationError(msrest.serialization.Model):
     """
 
     _attribute_map = {
-        'error_message': {'key': 'errorMessage', 'type': 'str'},
-        'status_code': {'key': 'statusCode', 'type': 'int'},
+        "error_message": {"key": "errorMessage", "type": "str"},
+        "status_code": {"key": "statusCode", "type": "int"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword error_message:
         :paramtype error_message: str
@@ -24563,8 +23229,8 @@ def __init__(
         :paramtype status_code: int
         """
         super(NotebookPreparationError, self).__init__(**kwargs)
-        self.error_message = kwargs.get('error_message', None)
-        self.status_code = kwargs.get('status_code', None)
+        self.error_message = kwargs.get("error_message", None)
+        self.status_code = kwargs.get("status_code", None)
 
 
 class NotebookResourceInfo(msrest.serialization.Model):
@@ -24582,16 +23248,13 @@ class NotebookResourceInfo(msrest.serialization.Model):
     """
 
     _attribute_map = {
-        'fqdn': {'key': 'fqdn', 'type': 'str'},
-        'is_private_link_enabled': {'key': 'isPrivateLinkEnabled', 'type': 'bool'},
-        'notebook_preparation_error': {'key': 'notebookPreparationError', 'type': 'NotebookPreparationError'},
-        'resource_id': {'key': 'resourceId', 'type': 'str'},
+        "fqdn": {"key": "fqdn", "type": "str"},
+        "is_private_link_enabled": {"key": "isPrivateLinkEnabled", "type": "bool"},
+        "notebook_preparation_error": {"key": "notebookPreparationError", "type": "NotebookPreparationError"},
+        "resource_id": {"key": "resourceId", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword fqdn:
         :paramtype fqdn: str
@@ -24604,10 +23267,10 @@ def __init__(
         :paramtype resource_id: str
         """
         super(NotebookResourceInfo, self).__init__(**kwargs)
-        self.fqdn = kwargs.get('fqdn', None)
-        self.is_private_link_enabled = kwargs.get('is_private_link_enabled', None)
-        self.notebook_preparation_error = kwargs.get('notebook_preparation_error', None)
-        self.resource_id = kwargs.get('resource_id', None)
+        self.fqdn = kwargs.get("fqdn", None)
+        self.is_private_link_enabled = kwargs.get("is_private_link_enabled", None)
+        self.notebook_preparation_error = kwargs.get("notebook_preparation_error", None)
+        self.resource_id = kwargs.get("resource_id", None)
 
 
 class NotificationSetting(msrest.serialization.Model):
@@ -24625,15 +23288,12 @@ class NotificationSetting(msrest.serialization.Model):
     """
 
     _attribute_map = {
-        'email_on': {'key': 'emailOn', 'type': '[str]'},
-        'emails': {'key': 'emails', 'type': '[str]'},
-        'webhooks': {'key': 'webhooks', 'type': '{Webhook}'},
+        "email_on": {"key": "emailOn", "type": "[str]"},
+        "emails": {"key": "emails", "type": "[str]"},
+        "webhooks": {"key": "webhooks", "type": "{Webhook}"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword email_on: Send email notification to user on specified notification type.
         :paramtype email_on: list[str or
@@ -24646,9 +23306,9 @@ def __init__(
         :paramtype webhooks: dict[str, ~azure.mgmt.machinelearningservices.models.Webhook]
         """
         super(NotificationSetting, self).__init__(**kwargs)
-        self.email_on = kwargs.get('email_on', None)
-        self.emails = kwargs.get('emails', None)
-        self.webhooks = kwargs.get('webhooks', None)
+        self.email_on = kwargs.get("email_on", None)
+        self.emails = kwargs.get("emails", None)
+        self.webhooks = kwargs.get("webhooks", None)
 
 
 class NumericalDataDriftMetricThreshold(DataDriftMetricThresholdBase):
@@ -24669,20 +23329,17 @@ class NumericalDataDriftMetricThreshold(DataDriftMetricThresholdBase):
     """
 
     _validation = {
-        'data_type': {'required': True},
-        'metric': {'required': True},
+        "data_type": {"required": True},
+        "metric": {"required": True},
     }
 
     _attribute_map = {
-        'data_type': {'key': 'dataType', 'type': 'str'},
-        'threshold': {'key': 'threshold', 'type': 'MonitoringThreshold'},
-        'metric': {'key': 'metric', 'type': 'str'},
+        "data_type": {"key": "dataType", "type": "str"},
+        "threshold": {"key": "threshold", "type": "MonitoringThreshold"},
+        "metric": {"key": "metric", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword threshold: The threshold value. If null, a default value will be set depending on the
          selected metric.
@@ -24693,8 +23350,8 @@ def __init__(
         :paramtype metric: str or ~azure.mgmt.machinelearningservices.models.NumericalDataDriftMetric
         """
         super(NumericalDataDriftMetricThreshold, self).__init__(**kwargs)
-        self.data_type = 'Numerical'  # type: str
-        self.metric = kwargs['metric']
+        self.data_type = "Numerical"  # type: str
+        self.metric = kwargs["metric"]
 
 
 class NumericalDataQualityMetricThreshold(DataQualityMetricThresholdBase):
@@ -24714,20 +23371,17 @@ class NumericalDataQualityMetricThreshold(DataQualityMetricThresholdBase):
     """
 
     _validation = {
-        'data_type': {'required': True},
-        'metric': {'required': True},
+        "data_type": {"required": True},
+        "metric": {"required": True},
     }
 
     _attribute_map = {
-        'data_type': {'key': 'dataType', 'type': 'str'},
-        'threshold': {'key': 'threshold', 'type': 'MonitoringThreshold'},
-        'metric': {'key': 'metric', 'type': 'str'},
+        "data_type": {"key": "dataType", "type": "str"},
+        "threshold": {"key": "threshold", "type": "MonitoringThreshold"},
+        "metric": {"key": "metric", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword threshold: The threshold value. If null, a default value will be set depending on the
          selected metric.
@@ -24737,8 +23391,8 @@ def __init__(
         :paramtype metric: str or ~azure.mgmt.machinelearningservices.models.NumericalDataQualityMetric
         """
         super(NumericalDataQualityMetricThreshold, self).__init__(**kwargs)
-        self.data_type = 'Numerical'  # type: str
-        self.metric = kwargs['metric']
+        self.data_type = "Numerical"  # type: str
+        self.metric = kwargs["metric"]
 
 
 class NumericalPredictionDriftMetricThreshold(PredictionDriftMetricThresholdBase):
@@ -24760,20 +23414,17 @@ class NumericalPredictionDriftMetricThreshold(PredictionDriftMetricThresholdBase
     """
 
     _validation = {
-        'data_type': {'required': True},
-        'metric': {'required': True},
+        "data_type": {"required": True},
+        "metric": {"required": True},
     }
 
     _attribute_map = {
-        'data_type': {'key': 'dataType', 'type': 'str'},
-        'threshold': {'key': 'threshold', 'type': 'MonitoringThreshold'},
-        'metric': {'key': 'metric', 'type': 'str'},
+        "data_type": {"key": "dataType", "type": "str"},
+        "threshold": {"key": "threshold", "type": "MonitoringThreshold"},
+        "metric": {"key": "metric", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword threshold: The threshold value. If null, a default value will be set depending on the
          selected metric.
@@ -24785,8 +23436,8 @@ def __init__(
          ~azure.mgmt.machinelearningservices.models.NumericalPredictionDriftMetric
         """
         super(NumericalPredictionDriftMetricThreshold, self).__init__(**kwargs)
-        self.data_type = 'Numerical'  # type: str
-        self.metric = kwargs['metric']
+        self.data_type = "Numerical"  # type: str
+        self.metric = kwargs["metric"]
 
 
 class OAuth2AuthTypeWorkspaceConnectionProperties(WorkspaceConnectionPropertiesV2):
@@ -24839,28 +23490,25 @@ class OAuth2AuthTypeWorkspaceConnectionProperties(WorkspaceConnectionPropertiesV
     """
 
     _validation = {
-        'auth_type': {'required': True},
-        'created_by_workspace_arm_id': {'readonly': True},
-        'group': {'readonly': True},
+        "auth_type": {"required": True},
+        "created_by_workspace_arm_id": {"readonly": True},
+        "group": {"readonly": True},
     }
 
     _attribute_map = {
-        'auth_type': {'key': 'authType', 'type': 'str'},
-        'category': {'key': 'category', 'type': 'str'},
-        'created_by_workspace_arm_id': {'key': 'createdByWorkspaceArmId', 'type': 'str'},
-        'expiry_time': {'key': 'expiryTime', 'type': 'iso-8601'},
-        'group': {'key': 'group', 'type': 'str'},
-        'is_shared_to_all': {'key': 'isSharedToAll', 'type': 'bool'},
-        'metadata': {'key': 'metadata', 'type': 'object'},
-        'shared_user_list': {'key': 'sharedUserList', 'type': '[str]'},
-        'target': {'key': 'target', 'type': 'str'},
-        'credentials': {'key': 'credentials', 'type': 'WorkspaceConnectionOAuth2'},
+        "auth_type": {"key": "authType", "type": "str"},
+        "category": {"key": "category", "type": "str"},
+        "created_by_workspace_arm_id": {"key": "createdByWorkspaceArmId", "type": "str"},
+        "expiry_time": {"key": "expiryTime", "type": "iso-8601"},
+        "group": {"key": "group", "type": "str"},
+        "is_shared_to_all": {"key": "isSharedToAll", "type": "bool"},
+        "metadata": {"key": "metadata", "type": "object"},
+        "shared_user_list": {"key": "sharedUserList", "type": "[str]"},
+        "target": {"key": "target", "type": "str"},
+        "credentials": {"key": "credentials", "type": "WorkspaceConnectionOAuth2"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword category: Category of the connection. Possible values include: "PythonFeed",
          "ContainerRegistry", "Git", "S3", "Snowflake", "AzureSqlDb", "AzureSynapseAnalytics",
@@ -24895,8 +23543,8 @@ def __init__(
         :paramtype credentials: ~azure.mgmt.machinelearningservices.models.WorkspaceConnectionOAuth2
         """
         super(OAuth2AuthTypeWorkspaceConnectionProperties, self).__init__(**kwargs)
-        self.auth_type = 'OAuth2'  # type: str
-        self.credentials = kwargs.get('credentials', None)
+        self.auth_type = "OAuth2"  # type: str
+        self.credentials = kwargs.get("credentials", None)
 
 
 class Objective(msrest.serialization.Model):
@@ -24912,19 +23560,16 @@ class Objective(msrest.serialization.Model):
     """
 
     _validation = {
-        'goal': {'required': True},
-        'primary_metric': {'required': True, 'min_length': 1, 'pattern': r'[a-zA-Z0-9_]'},
+        "goal": {"required": True},
+        "primary_metric": {"required": True, "min_length": 1, "pattern": r"[a-zA-Z0-9_]"},
     }
 
     _attribute_map = {
-        'goal': {'key': 'goal', 'type': 'str'},
-        'primary_metric': {'key': 'primaryMetric', 'type': 'str'},
+        "goal": {"key": "goal", "type": "str"},
+        "primary_metric": {"key": "primaryMetric", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword goal: Required. [Required] Defines supported metric goals for hyperparameter tuning.
          Possible values include: "Minimize", "Maximize".
@@ -24933,8 +23578,8 @@ def __init__(
         :paramtype primary_metric: str
         """
         super(Objective, self).__init__(**kwargs)
-        self.goal = kwargs['goal']
-        self.primary_metric = kwargs['primary_metric']
+        self.goal = kwargs["goal"]
+        self.primary_metric = kwargs["primary_metric"]
 
 
 class OneLakeDatastore(DatastoreProperties):
@@ -24975,31 +23620,28 @@ class OneLakeDatastore(DatastoreProperties):
     """
 
     _validation = {
-        'credentials': {'required': True},
-        'datastore_type': {'required': True},
-        'is_default': {'readonly': True},
-        'artifact': {'required': True},
-        'one_lake_workspace_name': {'required': True, 'min_length': 1, 'pattern': r'[a-zA-Z0-9_]'},
+        "credentials": {"required": True},
+        "datastore_type": {"required": True},
+        "is_default": {"readonly": True},
+        "artifact": {"required": True},
+        "one_lake_workspace_name": {"required": True, "min_length": 1, "pattern": r"[a-zA-Z0-9_]"},
     }
 
     _attribute_map = {
-        'description': {'key': 'description', 'type': 'str'},
-        'properties': {'key': 'properties', 'type': '{str}'},
-        'tags': {'key': 'tags', 'type': '{str}'},
-        'credentials': {'key': 'credentials', 'type': 'DatastoreCredentials'},
-        'datastore_type': {'key': 'datastoreType', 'type': 'str'},
-        'intellectual_property': {'key': 'intellectualProperty', 'type': 'IntellectualProperty'},
-        'is_default': {'key': 'isDefault', 'type': 'bool'},
-        'artifact': {'key': 'artifact', 'type': 'OneLakeArtifact'},
-        'endpoint': {'key': 'endpoint', 'type': 'str'},
-        'one_lake_workspace_name': {'key': 'oneLakeWorkspaceName', 'type': 'str'},
-        'service_data_access_auth_identity': {'key': 'serviceDataAccessAuthIdentity', 'type': 'str'},
+        "description": {"key": "description", "type": "str"},
+        "properties": {"key": "properties", "type": "{str}"},
+        "tags": {"key": "tags", "type": "{str}"},
+        "credentials": {"key": "credentials", "type": "DatastoreCredentials"},
+        "datastore_type": {"key": "datastoreType", "type": "str"},
+        "intellectual_property": {"key": "intellectualProperty", "type": "IntellectualProperty"},
+        "is_default": {"key": "isDefault", "type": "bool"},
+        "artifact": {"key": "artifact", "type": "OneLakeArtifact"},
+        "endpoint": {"key": "endpoint", "type": "str"},
+        "one_lake_workspace_name": {"key": "oneLakeWorkspaceName", "type": "str"},
+        "service_data_access_auth_identity": {"key": "serviceDataAccessAuthIdentity", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword description: The asset description text.
         :paramtype description: str
@@ -25025,11 +23667,11 @@ def __init__(
          ~azure.mgmt.machinelearningservices.models.ServiceDataAccessAuthIdentity
         """
         super(OneLakeDatastore, self).__init__(**kwargs)
-        self.datastore_type = 'OneLake'  # type: str
-        self.artifact = kwargs['artifact']
-        self.endpoint = kwargs.get('endpoint', None)
-        self.one_lake_workspace_name = kwargs['one_lake_workspace_name']
-        self.service_data_access_auth_identity = kwargs.get('service_data_access_auth_identity', None)
+        self.datastore_type = "OneLake"  # type: str
+        self.artifact = kwargs["artifact"]
+        self.endpoint = kwargs.get("endpoint", None)
+        self.one_lake_workspace_name = kwargs["one_lake_workspace_name"]
+        self.service_data_access_auth_identity = kwargs.get("service_data_access_auth_identity", None)
 
 
 class OnlineDeployment(TrackedResource):
@@ -25066,31 +23708,28 @@ class OnlineDeployment(TrackedResource):
     """
 
     _validation = {
-        'id': {'readonly': True},
-        'name': {'readonly': True},
-        'type': {'readonly': True},
-        'system_data': {'readonly': True},
-        'location': {'required': True},
-        'properties': {'required': True},
+        "id": {"readonly": True},
+        "name": {"readonly": True},
+        "type": {"readonly": True},
+        "system_data": {"readonly": True},
+        "location": {"required": True},
+        "properties": {"required": True},
     }
 
     _attribute_map = {
-        'id': {'key': 'id', 'type': 'str'},
-        'name': {'key': 'name', 'type': 'str'},
-        'type': {'key': 'type', 'type': 'str'},
-        'system_data': {'key': 'systemData', 'type': 'SystemData'},
-        'tags': {'key': 'tags', 'type': '{str}'},
-        'location': {'key': 'location', 'type': 'str'},
-        'identity': {'key': 'identity', 'type': 'ManagedServiceIdentity'},
-        'kind': {'key': 'kind', 'type': 'str'},
-        'properties': {'key': 'properties', 'type': 'OnlineDeploymentProperties'},
-        'sku': {'key': 'sku', 'type': 'Sku'},
+        "id": {"key": "id", "type": "str"},
+        "name": {"key": "name", "type": "str"},
+        "type": {"key": "type", "type": "str"},
+        "system_data": {"key": "systemData", "type": "SystemData"},
+        "tags": {"key": "tags", "type": "{str}"},
+        "location": {"key": "location", "type": "str"},
+        "identity": {"key": "identity", "type": "ManagedServiceIdentity"},
+        "kind": {"key": "kind", "type": "str"},
+        "properties": {"key": "properties", "type": "OnlineDeploymentProperties"},
+        "sku": {"key": "sku", "type": "Sku"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword tags: A set of tags. Resource tags.
         :paramtype tags: dict[str, str]
@@ -25107,10 +23746,10 @@ def __init__(
         :paramtype sku: ~azure.mgmt.machinelearningservices.models.Sku
         """
         super(OnlineDeployment, self).__init__(**kwargs)
-        self.identity = kwargs.get('identity', None)
-        self.kind = kwargs.get('kind', None)
-        self.properties = kwargs['properties']
-        self.sku = kwargs.get('sku', None)
+        self.identity = kwargs.get("identity", None)
+        self.kind = kwargs.get("kind", None)
+        self.properties = kwargs["properties"]
+        self.sku = kwargs.get("sku", None)
 
 
 class OnlineDeploymentTrackedResourceArmPaginatedResult(msrest.serialization.Model):
@@ -25124,14 +23763,11 @@ class OnlineDeploymentTrackedResourceArmPaginatedResult(msrest.serialization.Mod
     """
 
     _attribute_map = {
-        'next_link': {'key': 'nextLink', 'type': 'str'},
-        'value': {'key': 'value', 'type': '[OnlineDeployment]'},
+        "next_link": {"key": "nextLink", "type": "str"},
+        "value": {"key": "value", "type": "[OnlineDeployment]"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword next_link: The link to the next page of OnlineDeployment objects. If null, there are
          no additional pages.
@@ -25140,8 +23776,8 @@ def __init__(
         :paramtype value: list[~azure.mgmt.machinelearningservices.models.OnlineDeployment]
         """
         super(OnlineDeploymentTrackedResourceArmPaginatedResult, self).__init__(**kwargs)
-        self.next_link = kwargs.get('next_link', None)
-        self.value = kwargs.get('value', None)
+        self.next_link = kwargs.get("next_link", None)
+        self.value = kwargs.get("value", None)
 
 
 class OnlineEndpoint(TrackedResource):
@@ -25178,31 +23814,28 @@ class OnlineEndpoint(TrackedResource):
     """
 
     _validation = {
-        'id': {'readonly': True},
-        'name': {'readonly': True},
-        'type': {'readonly': True},
-        'system_data': {'readonly': True},
-        'location': {'required': True},
-        'properties': {'required': True},
+        "id": {"readonly": True},
+        "name": {"readonly": True},
+        "type": {"readonly": True},
+        "system_data": {"readonly": True},
+        "location": {"required": True},
+        "properties": {"required": True},
     }
 
     _attribute_map = {
-        'id': {'key': 'id', 'type': 'str'},
-        'name': {'key': 'name', 'type': 'str'},
-        'type': {'key': 'type', 'type': 'str'},
-        'system_data': {'key': 'systemData', 'type': 'SystemData'},
-        'tags': {'key': 'tags', 'type': '{str}'},
-        'location': {'key': 'location', 'type': 'str'},
-        'identity': {'key': 'identity', 'type': 'ManagedServiceIdentity'},
-        'kind': {'key': 'kind', 'type': 'str'},
-        'properties': {'key': 'properties', 'type': 'OnlineEndpointProperties'},
-        'sku': {'key': 'sku', 'type': 'Sku'},
+        "id": {"key": "id", "type": "str"},
+        "name": {"key": "name", "type": "str"},
+        "type": {"key": "type", "type": "str"},
+        "system_data": {"key": "systemData", "type": "SystemData"},
+        "tags": {"key": "tags", "type": "{str}"},
+        "location": {"key": "location", "type": "str"},
+        "identity": {"key": "identity", "type": "ManagedServiceIdentity"},
+        "kind": {"key": "kind", "type": "str"},
+        "properties": {"key": "properties", "type": "OnlineEndpointProperties"},
+        "sku": {"key": "sku", "type": "Sku"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword tags: A set of tags. Resource tags.
         :paramtype tags: dict[str, str]
@@ -25219,10 +23852,10 @@ def __init__(
         :paramtype sku: ~azure.mgmt.machinelearningservices.models.Sku
         """
         super(OnlineEndpoint, self).__init__(**kwargs)
-        self.identity = kwargs.get('identity', None)
-        self.kind = kwargs.get('kind', None)
-        self.properties = kwargs['properties']
-        self.sku = kwargs.get('sku', None)
+        self.identity = kwargs.get("identity", None)
+        self.kind = kwargs.get("kind", None)
+        self.properties = kwargs["properties"]
+        self.sku = kwargs.get("sku", None)
 
 
 class OnlineEndpointProperties(EndpointPropertiesBase):
@@ -25268,30 +23901,27 @@ class OnlineEndpointProperties(EndpointPropertiesBase):
     """
 
     _validation = {
-        'auth_mode': {'required': True},
-        'scoring_uri': {'readonly': True},
-        'swagger_uri': {'readonly': True},
-        'provisioning_state': {'readonly': True},
+        "auth_mode": {"required": True},
+        "scoring_uri": {"readonly": True},
+        "swagger_uri": {"readonly": True},
+        "provisioning_state": {"readonly": True},
     }
 
     _attribute_map = {
-        'auth_mode': {'key': 'authMode', 'type': 'str'},
-        'description': {'key': 'description', 'type': 'str'},
-        'keys': {'key': 'keys', 'type': 'EndpointAuthKeys'},
-        'properties': {'key': 'properties', 'type': '{str}'},
-        'scoring_uri': {'key': 'scoringUri', 'type': 'str'},
-        'swagger_uri': {'key': 'swaggerUri', 'type': 'str'},
-        'compute': {'key': 'compute', 'type': 'str'},
-        'mirror_traffic': {'key': 'mirrorTraffic', 'type': '{int}'},
-        'provisioning_state': {'key': 'provisioningState', 'type': 'str'},
-        'public_network_access': {'key': 'publicNetworkAccess', 'type': 'str'},
-        'traffic': {'key': 'traffic', 'type': '{int}'},
+        "auth_mode": {"key": "authMode", "type": "str"},
+        "description": {"key": "description", "type": "str"},
+        "keys": {"key": "keys", "type": "EndpointAuthKeys"},
+        "properties": {"key": "properties", "type": "{str}"},
+        "scoring_uri": {"key": "scoringUri", "type": "str"},
+        "swagger_uri": {"key": "swaggerUri", "type": "str"},
+        "compute": {"key": "compute", "type": "str"},
+        "mirror_traffic": {"key": "mirrorTraffic", "type": "{int}"},
+        "provisioning_state": {"key": "provisioningState", "type": "str"},
+        "public_network_access": {"key": "publicNetworkAccess", "type": "str"},
+        "traffic": {"key": "traffic", "type": "{int}"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword auth_mode: Required. [Required] Use 'Key' for key based authentication and 'AMLToken'
          for Azure Machine Learning token-based authentication. 'Key' doesn't expire but 'AMLToken'
@@ -25320,11 +23950,11 @@ def __init__(
         :paramtype traffic: dict[str, int]
         """
         super(OnlineEndpointProperties, self).__init__(**kwargs)
-        self.compute = kwargs.get('compute', None)
-        self.mirror_traffic = kwargs.get('mirror_traffic', None)
+        self.compute = kwargs.get("compute", None)
+        self.mirror_traffic = kwargs.get("mirror_traffic", None)
         self.provisioning_state = None
-        self.public_network_access = kwargs.get('public_network_access', None)
-        self.traffic = kwargs.get('traffic', None)
+        self.public_network_access = kwargs.get("public_network_access", None)
+        self.traffic = kwargs.get("traffic", None)
 
 
 class OnlineEndpointTrackedResourceArmPaginatedResult(msrest.serialization.Model):
@@ -25338,14 +23968,11 @@ class OnlineEndpointTrackedResourceArmPaginatedResult(msrest.serialization.Model
     """
 
     _attribute_map = {
-        'next_link': {'key': 'nextLink', 'type': 'str'},
-        'value': {'key': 'value', 'type': '[OnlineEndpoint]'},
+        "next_link": {"key": "nextLink", "type": "str"},
+        "value": {"key": "value", "type": "[OnlineEndpoint]"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword next_link: The link to the next page of OnlineEndpoint objects. If null, there are no
          additional pages.
@@ -25354,8 +23981,8 @@ def __init__(
         :paramtype value: list[~azure.mgmt.machinelearningservices.models.OnlineEndpoint]
         """
         super(OnlineEndpointTrackedResourceArmPaginatedResult, self).__init__(**kwargs)
-        self.next_link = kwargs.get('next_link', None)
-        self.value = kwargs.get('value', None)
+        self.next_link = kwargs.get("next_link", None)
+        self.value = kwargs.get("value", None)
 
 
 class OnlineInferenceConfiguration(msrest.serialization.Model):
@@ -25375,17 +24002,14 @@ class OnlineInferenceConfiguration(msrest.serialization.Model):
     """
 
     _attribute_map = {
-        'configurations': {'key': 'configurations', 'type': '{str}'},
-        'entry_script': {'key': 'entryScript', 'type': 'str'},
-        'liveness_route': {'key': 'livenessRoute', 'type': 'Route'},
-        'readiness_route': {'key': 'readinessRoute', 'type': 'Route'},
-        'scoring_route': {'key': 'scoringRoute', 'type': 'Route'},
+        "configurations": {"key": "configurations", "type": "{str}"},
+        "entry_script": {"key": "entryScript", "type": "str"},
+        "liveness_route": {"key": "livenessRoute", "type": "Route"},
+        "readiness_route": {"key": "readinessRoute", "type": "Route"},
+        "scoring_route": {"key": "scoringRoute", "type": "Route"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword configurations: Additional configurations.
         :paramtype configurations: dict[str, str]
@@ -25400,11 +24024,11 @@ def __init__(
         :paramtype scoring_route: ~azure.mgmt.machinelearningservices.models.Route
         """
         super(OnlineInferenceConfiguration, self).__init__(**kwargs)
-        self.configurations = kwargs.get('configurations', None)
-        self.entry_script = kwargs.get('entry_script', None)
-        self.liveness_route = kwargs.get('liveness_route', None)
-        self.readiness_route = kwargs.get('readiness_route', None)
-        self.scoring_route = kwargs.get('scoring_route', None)
+        self.configurations = kwargs.get("configurations", None)
+        self.entry_script = kwargs.get("entry_script", None)
+        self.liveness_route = kwargs.get("liveness_route", None)
+        self.readiness_route = kwargs.get("readiness_route", None)
+        self.scoring_route = kwargs.get("scoring_route", None)
 
 
 class OnlineRequestSettings(msrest.serialization.Model):
@@ -25423,15 +24047,12 @@ class OnlineRequestSettings(msrest.serialization.Model):
     """
 
     _attribute_map = {
-        'max_concurrent_requests_per_instance': {'key': 'maxConcurrentRequestsPerInstance', 'type': 'int'},
-        'max_queue_wait': {'key': 'maxQueueWait', 'type': 'duration'},
-        'request_timeout': {'key': 'requestTimeout', 'type': 'duration'},
+        "max_concurrent_requests_per_instance": {"key": "maxConcurrentRequestsPerInstance", "type": "int"},
+        "max_queue_wait": {"key": "maxQueueWait", "type": "duration"},
+        "request_timeout": {"key": "requestTimeout", "type": "duration"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword max_concurrent_requests_per_instance: The number of maximum concurrent requests per
          node allowed per deployment. Defaults to 1.
@@ -25445,13 +24066,14 @@ def __init__(
         :paramtype request_timeout: ~datetime.timedelta
         """
         super(OnlineRequestSettings, self).__init__(**kwargs)
-        self.max_concurrent_requests_per_instance = kwargs.get('max_concurrent_requests_per_instance', 1)
-        self.max_queue_wait = kwargs.get('max_queue_wait', "PT0.5S")
-        self.request_timeout = kwargs.get('request_timeout', "PT5S")
+        self.max_concurrent_requests_per_instance = kwargs.get("max_concurrent_requests_per_instance", 1)
+        self.max_queue_wait = kwargs.get("max_queue_wait", "PT0.5S")
+        self.request_timeout = kwargs.get("request_timeout", "PT5S")
 
 
-class OpenAIEndpointDeploymentResourceProperties(EndpointDeploymentResourceProperties,
-                                                 CognitiveServiceEndpointDeploymentResourceProperties):
+class OpenAIEndpointDeploymentResourceProperties(
+    EndpointDeploymentResourceProperties, CognitiveServiceEndpointDeploymentResourceProperties
+):
     """OpenAIEndpointDeploymentResourceProperties.
 
     Variables are only populated by the server, and will be ignored when sending a request.
@@ -25479,25 +24101,22 @@ class OpenAIEndpointDeploymentResourceProperties(EndpointDeploymentResourcePrope
     """
 
     _validation = {
-        'model': {'required': True},
-        'provisioning_state': {'readonly': True},
-        'type': {'required': True, 'min_length': 1, 'pattern': r'[a-zA-Z0-9._]'},
+        "model": {"required": True},
+        "provisioning_state": {"readonly": True},
+        "type": {"required": True, "min_length": 1, "pattern": r"[a-zA-Z0-9._]"},
     }
 
     _attribute_map = {
-        'model': {'key': 'model', 'type': 'EndpointDeploymentModel'},
-        'rai_policy_name': {'key': 'raiPolicyName', 'type': 'str'},
-        'sku': {'key': 'sku', 'type': 'CognitiveServicesSku'},
-        'version_upgrade_option': {'key': 'versionUpgradeOption', 'type': 'str'},
-        'failure_reason': {'key': 'failureReason', 'type': 'str'},
-        'provisioning_state': {'key': 'provisioningState', 'type': 'str'},
-        'type': {'key': 'type', 'type': 'str'},
+        "model": {"key": "model", "type": "EndpointDeploymentModel"},
+        "rai_policy_name": {"key": "raiPolicyName", "type": "str"},
+        "sku": {"key": "sku", "type": "CognitiveServicesSku"},
+        "version_upgrade_option": {"key": "versionUpgradeOption", "type": "str"},
+        "failure_reason": {"key": "failureReason", "type": "str"},
+        "provisioning_state": {"key": "provisioningState", "type": "str"},
+        "type": {"key": "type", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword model: Required. Model used for the endpoint deployment.
         :paramtype model: ~azure.mgmt.machinelearningservices.models.EndpointDeploymentModel
@@ -25513,12 +24132,12 @@ def __init__(
         :paramtype failure_reason: str
         """
         super(OpenAIEndpointDeploymentResourceProperties, self).__init__(**kwargs)
-        self.model = kwargs['model']
-        self.rai_policy_name = kwargs.get('rai_policy_name', None)
-        self.sku = kwargs.get('sku', None)
-        self.version_upgrade_option = kwargs.get('version_upgrade_option', None)
-        self.type = 'Azure.OpenAI'  # type: str
-        self.failure_reason = kwargs.get('failure_reason', None)
+        self.model = kwargs["model"]
+        self.rai_policy_name = kwargs.get("rai_policy_name", None)
+        self.sku = kwargs.get("sku", None)
+        self.version_upgrade_option = kwargs.get("version_upgrade_option", None)
+        self.type = "Azure.OpenAI"  # type: str
+        self.failure_reason = kwargs.get("failure_reason", None)
         self.provisioning_state = None
 
 
@@ -25549,23 +24168,20 @@ class OpenAIEndpointResourceProperties(EndpointResourceProperties):
     """
 
     _validation = {
-        'endpoint_type': {'required': True},
-        'provisioning_state': {'readonly': True},
+        "endpoint_type": {"required": True},
+        "provisioning_state": {"readonly": True},
     }
 
     _attribute_map = {
-        'associated_resource_id': {'key': 'associatedResourceId', 'type': 'str'},
-        'endpoint_type': {'key': 'endpointType', 'type': 'str'},
-        'endpoint_uri': {'key': 'endpointUri', 'type': 'str'},
-        'failure_reason': {'key': 'failureReason', 'type': 'str'},
-        'name': {'key': 'name', 'type': 'str'},
-        'provisioning_state': {'key': 'provisioningState', 'type': 'str'},
+        "associated_resource_id": {"key": "associatedResourceId", "type": "str"},
+        "endpoint_type": {"key": "endpointType", "type": "str"},
+        "endpoint_uri": {"key": "endpointUri", "type": "str"},
+        "failure_reason": {"key": "failureReason", "type": "str"},
+        "name": {"key": "name", "type": "str"},
+        "provisioning_state": {"key": "provisioningState", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword associated_resource_id: Byo resource id for creating the built-in model service
          endpoints.
@@ -25578,7 +24194,7 @@ def __init__(
         :paramtype name: str
         """
         super(OpenAIEndpointResourceProperties, self).__init__(**kwargs)
-        self.endpoint_type = 'Azure.OpenAI'  # type: str
+        self.endpoint_type = "Azure.OpenAI"  # type: str
 
 
 class Operation(msrest.serialization.Model):
@@ -25604,24 +24220,21 @@ class Operation(msrest.serialization.Model):
     """
 
     _validation = {
-        'name': {'readonly': True},
-        'is_data_action': {'readonly': True},
-        'origin': {'readonly': True},
-        'action_type': {'readonly': True},
+        "name": {"readonly": True},
+        "is_data_action": {"readonly": True},
+        "origin": {"readonly": True},
+        "action_type": {"readonly": True},
     }
 
     _attribute_map = {
-        'name': {'key': 'name', 'type': 'str'},
-        'is_data_action': {'key': 'isDataAction', 'type': 'bool'},
-        'display': {'key': 'display', 'type': 'OperationDisplay'},
-        'origin': {'key': 'origin', 'type': 'str'},
-        'action_type': {'key': 'actionType', 'type': 'str'},
+        "name": {"key": "name", "type": "str"},
+        "is_data_action": {"key": "isDataAction", "type": "bool"},
+        "display": {"key": "display", "type": "OperationDisplay"},
+        "origin": {"key": "origin", "type": "str"},
+        "action_type": {"key": "actionType", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword display: Localized display information for this particular operation.
         :paramtype display: ~azure.mgmt.machinelearningservices.models.OperationDisplay
@@ -25629,7 +24242,7 @@ def __init__(
         super(Operation, self).__init__(**kwargs)
         self.name = None
         self.is_data_action = None
-        self.display = kwargs.get('display', None)
+        self.display = kwargs.get("display", None)
         self.origin = None
         self.action_type = None
 
@@ -25654,25 +24267,21 @@ class OperationDisplay(msrest.serialization.Model):
     """
 
     _validation = {
-        'provider': {'readonly': True},
-        'resource': {'readonly': True},
-        'operation': {'readonly': True},
-        'description': {'readonly': True},
+        "provider": {"readonly": True},
+        "resource": {"readonly": True},
+        "operation": {"readonly": True},
+        "description": {"readonly": True},
     }
 
     _attribute_map = {
-        'provider': {'key': 'provider', 'type': 'str'},
-        'resource': {'key': 'resource', 'type': 'str'},
-        'operation': {'key': 'operation', 'type': 'str'},
-        'description': {'key': 'description', 'type': 'str'},
+        "provider": {"key": "provider", "type": "str"},
+        "resource": {"key": "resource", "type": "str"},
+        "operation": {"key": "operation", "type": "str"},
+        "description": {"key": "description", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
-        """
-        """
+    def __init__(self, **kwargs):
+        """ """
         super(OperationDisplay, self).__init__(**kwargs)
         self.provider = None
         self.resource = None
@@ -25692,21 +24301,17 @@ class OperationListResult(msrest.serialization.Model):
     """
 
     _validation = {
-        'value': {'readonly': True},
-        'next_link': {'readonly': True},
+        "value": {"readonly": True},
+        "next_link": {"readonly": True},
     }
 
     _attribute_map = {
-        'value': {'key': 'value', 'type': '[Operation]'},
-        'next_link': {'key': 'nextLink', 'type': 'str'},
+        "value": {"key": "value", "type": "[Operation]"},
+        "next_link": {"key": "nextLink", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
-        """
-        """
+    def __init__(self, **kwargs):
+        """ """
         super(OperationListResult, self).__init__(**kwargs)
         self.value = None
         self.next_link = None
@@ -25728,16 +24333,13 @@ class OsPatchingStatus(msrest.serialization.Model):
     """
 
     _attribute_map = {
-        'patch_status': {'key': 'patchStatus', 'type': 'str'},
-        'latest_patch_time': {'key': 'latestPatchTime', 'type': 'str'},
-        'reboot_pending': {'key': 'rebootPending', 'type': 'bool'},
-        'scheduled_reboot_time': {'key': 'scheduledRebootTime', 'type': 'str'},
+        "patch_status": {"key": "patchStatus", "type": "str"},
+        "latest_patch_time": {"key": "latestPatchTime", "type": "str"},
+        "reboot_pending": {"key": "rebootPending", "type": "bool"},
+        "scheduled_reboot_time": {"key": "scheduledRebootTime", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword patch_status: The os patching status. Possible values include:
          "CompletedWithWarnings", "Failed", "InProgress", "Succeeded", "Unknown".
@@ -25751,10 +24353,10 @@ def __init__(
         :paramtype scheduled_reboot_time: str
         """
         super(OsPatchingStatus, self).__init__(**kwargs)
-        self.patch_status = kwargs.get('patch_status', None)
-        self.latest_patch_time = kwargs.get('latest_patch_time', None)
-        self.reboot_pending = kwargs.get('reboot_pending', None)
-        self.scheduled_reboot_time = kwargs.get('scheduled_reboot_time', None)
+        self.patch_status = kwargs.get("patch_status", None)
+        self.latest_patch_time = kwargs.get("latest_patch_time", None)
+        self.reboot_pending = kwargs.get("reboot_pending", None)
+        self.scheduled_reboot_time = kwargs.get("scheduled_reboot_time", None)
 
 
 class OutboundRuleBasicResource(Resource):
@@ -25781,32 +24383,29 @@ class OutboundRuleBasicResource(Resource):
     """
 
     _validation = {
-        'id': {'readonly': True},
-        'name': {'readonly': True},
-        'type': {'readonly': True},
-        'system_data': {'readonly': True},
-        'properties': {'required': True},
+        "id": {"readonly": True},
+        "name": {"readonly": True},
+        "type": {"readonly": True},
+        "system_data": {"readonly": True},
+        "properties": {"required": True},
     }
 
     _attribute_map = {
-        'id': {'key': 'id', 'type': 'str'},
-        'name': {'key': 'name', 'type': 'str'},
-        'type': {'key': 'type', 'type': 'str'},
-        'system_data': {'key': 'systemData', 'type': 'SystemData'},
-        'properties': {'key': 'properties', 'type': 'OutboundRule'},
+        "id": {"key": "id", "type": "str"},
+        "name": {"key": "name", "type": "str"},
+        "type": {"key": "type", "type": "str"},
+        "system_data": {"key": "systemData", "type": "SystemData"},
+        "properties": {"key": "properties", "type": "OutboundRule"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword properties: Required. Outbound Rule for the managed network of a machine learning
          workspace.
         :paramtype properties: ~azure.mgmt.machinelearningservices.models.OutboundRule
         """
         super(OutboundRuleBasicResource, self).__init__(**kwargs)
-        self.properties = kwargs['properties']
+        self.properties = kwargs["properties"]
 
 
 class OutboundRuleListResult(msrest.serialization.Model):
@@ -25821,14 +24420,11 @@ class OutboundRuleListResult(msrest.serialization.Model):
     """
 
     _attribute_map = {
-        'next_link': {'key': 'nextLink', 'type': 'str'},
-        'value': {'key': 'value', 'type': '[OutboundRuleBasicResource]'},
+        "next_link": {"key": "nextLink", "type": "str"},
+        "value": {"key": "value", "type": "[OutboundRuleBasicResource]"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword next_link: The link to the next page constructed using the continuationToken.  If
          null, there are no additional pages.
@@ -25838,8 +24434,8 @@ def __init__(
         :paramtype value: list[~azure.mgmt.machinelearningservices.models.OutboundRuleBasicResource]
         """
         super(OutboundRuleListResult, self).__init__(**kwargs)
-        self.next_link = kwargs.get('next_link', None)
-        self.value = kwargs.get('value', None)
+        self.next_link = kwargs.get("next_link", None)
+        self.value = kwargs.get("value", None)
 
 
 class OutputPathAssetReference(AssetReferenceBase):
@@ -25857,19 +24453,16 @@ class OutputPathAssetReference(AssetReferenceBase):
     """
 
     _validation = {
-        'reference_type': {'required': True},
+        "reference_type": {"required": True},
     }
 
     _attribute_map = {
-        'reference_type': {'key': 'referenceType', 'type': 'str'},
-        'job_id': {'key': 'jobId', 'type': 'str'},
-        'path': {'key': 'path', 'type': 'str'},
+        "reference_type": {"key": "referenceType", "type": "str"},
+        "job_id": {"key": "jobId", "type": "str"},
+        "path": {"key": "path", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword job_id: ARM resource ID of the job.
         :paramtype job_id: str
@@ -25877,9 +24470,9 @@ def __init__(
         :paramtype path: str
         """
         super(OutputPathAssetReference, self).__init__(**kwargs)
-        self.reference_type = 'OutputPath'  # type: str
-        self.job_id = kwargs.get('job_id', None)
-        self.path = kwargs.get('path', None)
+        self.reference_type = "OutputPath"  # type: str
+        self.job_id = kwargs.get("job_id", None)
+        self.path = kwargs.get("path", None)
 
 
 class PackageInputPathBase(msrest.serialization.Model):
@@ -25896,24 +24489,23 @@ class PackageInputPathBase(msrest.serialization.Model):
     """
 
     _validation = {
-        'input_path_type': {'required': True},
+        "input_path_type": {"required": True},
     }
 
     _attribute_map = {
-        'input_path_type': {'key': 'inputPathType', 'type': 'str'},
+        "input_path_type": {"key": "inputPathType", "type": "str"},
     }
 
     _subtype_map = {
-        'input_path_type': {'PathId': 'PackageInputPathId', 'PathVersion': 'PackageInputPathVersion',
-                            'Url': 'PackageInputPathUrl'}
+        "input_path_type": {
+            "PathId": "PackageInputPathId",
+            "PathVersion": "PackageInputPathVersion",
+            "Url": "PackageInputPathUrl",
+        }
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
-        """
-        """
+    def __init__(self, **kwargs):
+        """ """
         super(PackageInputPathBase, self).__init__(**kwargs)
         self.input_path_type = None  # type: Optional[str]
 
@@ -25931,25 +24523,22 @@ class PackageInputPathId(PackageInputPathBase):
     """
 
     _validation = {
-        'input_path_type': {'required': True},
+        "input_path_type": {"required": True},
     }
 
     _attribute_map = {
-        'input_path_type': {'key': 'inputPathType', 'type': 'str'},
-        'resource_id': {'key': 'resourceId', 'type': 'str'},
+        "input_path_type": {"key": "inputPathType", "type": "str"},
+        "resource_id": {"key": "resourceId", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword resource_id: Input resource id.
         :paramtype resource_id: str
         """
         super(PackageInputPathId, self).__init__(**kwargs)
-        self.input_path_type = 'PathId'  # type: str
-        self.resource_id = kwargs.get('resource_id', None)
+        self.input_path_type = "PathId"  # type: str
+        self.resource_id = kwargs.get("resource_id", None)
 
 
 class PackageInputPathUrl(PackageInputPathBase):
@@ -25965,25 +24554,22 @@ class PackageInputPathUrl(PackageInputPathBase):
     """
 
     _validation = {
-        'input_path_type': {'required': True},
+        "input_path_type": {"required": True},
     }
 
     _attribute_map = {
-        'input_path_type': {'key': 'inputPathType', 'type': 'str'},
-        'url': {'key': 'url', 'type': 'str'},
+        "input_path_type": {"key": "inputPathType", "type": "str"},
+        "url": {"key": "url", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword url: Input path url.
         :paramtype url: str
         """
         super(PackageInputPathUrl, self).__init__(**kwargs)
-        self.input_path_type = 'Url'  # type: str
-        self.url = kwargs.get('url', None)
+        self.input_path_type = "Url"  # type: str
+        self.url = kwargs.get("url", None)
 
 
 class PackageInputPathVersion(PackageInputPathBase):
@@ -26001,19 +24587,16 @@ class PackageInputPathVersion(PackageInputPathBase):
     """
 
     _validation = {
-        'input_path_type': {'required': True},
+        "input_path_type": {"required": True},
     }
 
     _attribute_map = {
-        'input_path_type': {'key': 'inputPathType', 'type': 'str'},
-        'resource_name': {'key': 'resourceName', 'type': 'str'},
-        'resource_version': {'key': 'resourceVersion', 'type': 'str'},
+        "input_path_type": {"key": "inputPathType", "type": "str"},
+        "resource_name": {"key": "resourceName", "type": "str"},
+        "resource_version": {"key": "resourceVersion", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword resource_name: Input resource name.
         :paramtype resource_name: str
@@ -26021,9 +24604,9 @@ def __init__(
         :paramtype resource_version: str
         """
         super(PackageInputPathVersion, self).__init__(**kwargs)
-        self.input_path_type = 'PathVersion'  # type: str
-        self.resource_name = kwargs.get('resource_name', None)
-        self.resource_version = kwargs.get('resource_version', None)
+        self.input_path_type = "PathVersion"  # type: str
+        self.resource_name = kwargs.get("resource_name", None)
+        self.resource_version = kwargs.get("resource_version", None)
 
 
 class PackageRequest(msrest.serialization.Model):
@@ -26052,25 +24635,22 @@ class PackageRequest(msrest.serialization.Model):
     """
 
     _validation = {
-        'inferencing_server': {'required': True},
-        'target_environment_id': {'required': True, 'min_length': 1, 'pattern': r'[a-zA-Z0-9_]'},
+        "inferencing_server": {"required": True},
+        "target_environment_id": {"required": True, "min_length": 1, "pattern": r"[a-zA-Z0-9_]"},
     }
 
     _attribute_map = {
-        'base_environment_source': {'key': 'baseEnvironmentSource', 'type': 'BaseEnvironmentSource'},
-        'environment_variables': {'key': 'environmentVariables', 'type': '{str}'},
-        'inferencing_server': {'key': 'inferencingServer', 'type': 'InferencingServer'},
-        'inputs': {'key': 'inputs', 'type': '[ModelPackageInput]'},
-        'model_configuration': {'key': 'modelConfiguration', 'type': 'ModelConfiguration'},
-        'properties': {'key': 'properties', 'type': '{str}'},
-        'tags': {'key': 'tags', 'type': '{str}'},
-        'target_environment_id': {'key': 'targetEnvironmentId', 'type': 'str'},
+        "base_environment_source": {"key": "baseEnvironmentSource", "type": "BaseEnvironmentSource"},
+        "environment_variables": {"key": "environmentVariables", "type": "{str}"},
+        "inferencing_server": {"key": "inferencingServer", "type": "InferencingServer"},
+        "inputs": {"key": "inputs", "type": "[ModelPackageInput]"},
+        "model_configuration": {"key": "modelConfiguration", "type": "ModelConfiguration"},
+        "properties": {"key": "properties", "type": "{str}"},
+        "tags": {"key": "tags", "type": "{str}"},
+        "target_environment_id": {"key": "targetEnvironmentId", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword base_environment_source: Base environment to start with.
         :paramtype base_environment_source:
@@ -26092,14 +24672,14 @@ def __init__(
         :paramtype target_environment_id: str
         """
         super(PackageRequest, self).__init__(**kwargs)
-        self.base_environment_source = kwargs.get('base_environment_source', None)
-        self.environment_variables = kwargs.get('environment_variables', None)
-        self.inferencing_server = kwargs['inferencing_server']
-        self.inputs = kwargs.get('inputs', None)
-        self.model_configuration = kwargs.get('model_configuration', None)
-        self.properties = kwargs.get('properties', None)
-        self.tags = kwargs.get('tags', None)
-        self.target_environment_id = kwargs['target_environment_id']
+        self.base_environment_source = kwargs.get("base_environment_source", None)
+        self.environment_variables = kwargs.get("environment_variables", None)
+        self.inferencing_server = kwargs["inferencing_server"]
+        self.inputs = kwargs.get("inputs", None)
+        self.model_configuration = kwargs.get("model_configuration", None)
+        self.properties = kwargs.get("properties", None)
+        self.tags = kwargs.get("tags", None)
+        self.target_environment_id = kwargs["target_environment_id"]
 
 
 class PackageResponse(msrest.serialization.Model):
@@ -26134,39 +24714,35 @@ class PackageResponse(msrest.serialization.Model):
     """
 
     _validation = {
-        'base_environment_source': {'readonly': True},
-        'build_id': {'readonly': True},
-        'build_state': {'readonly': True},
-        'environment_variables': {'readonly': True},
-        'inferencing_server': {'readonly': True},
-        'inputs': {'readonly': True},
-        'log_url': {'readonly': True},
-        'model_configuration': {'readonly': True},
-        'properties': {'readonly': True},
-        'tags': {'readonly': True},
-        'target_environment_id': {'readonly': True},
+        "base_environment_source": {"readonly": True},
+        "build_id": {"readonly": True},
+        "build_state": {"readonly": True},
+        "environment_variables": {"readonly": True},
+        "inferencing_server": {"readonly": True},
+        "inputs": {"readonly": True},
+        "log_url": {"readonly": True},
+        "model_configuration": {"readonly": True},
+        "properties": {"readonly": True},
+        "tags": {"readonly": True},
+        "target_environment_id": {"readonly": True},
     }
 
     _attribute_map = {
-        'base_environment_source': {'key': 'baseEnvironmentSource', 'type': 'BaseEnvironmentSource'},
-        'build_id': {'key': 'buildId', 'type': 'str'},
-        'build_state': {'key': 'buildState', 'type': 'str'},
-        'environment_variables': {'key': 'environmentVariables', 'type': '{str}'},
-        'inferencing_server': {'key': 'inferencingServer', 'type': 'InferencingServer'},
-        'inputs': {'key': 'inputs', 'type': '[ModelPackageInput]'},
-        'log_url': {'key': 'logUrl', 'type': 'str'},
-        'model_configuration': {'key': 'modelConfiguration', 'type': 'ModelConfiguration'},
-        'properties': {'key': 'properties', 'type': '{str}'},
-        'tags': {'key': 'tags', 'type': '{str}'},
-        'target_environment_id': {'key': 'targetEnvironmentId', 'type': 'str'},
+        "base_environment_source": {"key": "baseEnvironmentSource", "type": "BaseEnvironmentSource"},
+        "build_id": {"key": "buildId", "type": "str"},
+        "build_state": {"key": "buildState", "type": "str"},
+        "environment_variables": {"key": "environmentVariables", "type": "{str}"},
+        "inferencing_server": {"key": "inferencingServer", "type": "InferencingServer"},
+        "inputs": {"key": "inputs", "type": "[ModelPackageInput]"},
+        "log_url": {"key": "logUrl", "type": "str"},
+        "model_configuration": {"key": "modelConfiguration", "type": "ModelConfiguration"},
+        "properties": {"key": "properties", "type": "{str}"},
+        "tags": {"key": "tags", "type": "{str}"},
+        "target_environment_id": {"key": "targetEnvironmentId", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
-        """
-        """
+    def __init__(self, **kwargs):
+        """ """
         super(PackageResponse, self).__init__(**kwargs)
         self.base_environment_source = None
         self.build_id = None
@@ -26191,14 +24767,11 @@ class PaginatedComputeResourcesList(msrest.serialization.Model):
     """
 
     _attribute_map = {
-        'value': {'key': 'value', 'type': '[ComputeResource]'},
-        'next_link': {'key': 'nextLink', 'type': 'str'},
+        "value": {"key": "value", "type": "[ComputeResource]"},
+        "next_link": {"key": "nextLink", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword value: An array of Machine Learning compute objects wrapped in ARM resource envelope.
         :paramtype value: list[~azure.mgmt.machinelearningservices.models.ComputeResource]
@@ -26206,8 +24779,8 @@ def __init__(
         :paramtype next_link: str
         """
         super(PaginatedComputeResourcesList, self).__init__(**kwargs)
-        self.value = kwargs.get('value', None)
-        self.next_link = kwargs.get('next_link', None)
+        self.value = kwargs.get("value", None)
+        self.next_link = kwargs.get("next_link", None)
 
 
 class PartialBatchDeployment(msrest.serialization.Model):
@@ -26218,19 +24791,16 @@ class PartialBatchDeployment(msrest.serialization.Model):
     """
 
     _attribute_map = {
-        'description': {'key': 'description', 'type': 'str'},
+        "description": {"key": "description", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword description: Description of the endpoint deployment.
         :paramtype description: str
         """
         super(PartialBatchDeployment, self).__init__(**kwargs)
-        self.description = kwargs.get('description', None)
+        self.description = kwargs.get("description", None)
 
 
 class PartialBatchDeploymentPartialMinimalTrackedResourceWithProperties(msrest.serialization.Model):
@@ -26243,14 +24813,11 @@ class PartialBatchDeploymentPartialMinimalTrackedResourceWithProperties(msrest.s
     """
 
     _attribute_map = {
-        'properties': {'key': 'properties', 'type': 'PartialBatchDeployment'},
-        'tags': {'key': 'tags', 'type': '{str}'},
+        "properties": {"key": "properties", "type": "PartialBatchDeployment"},
+        "tags": {"key": "tags", "type": "{str}"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword properties: Additional attributes of the entity.
         :paramtype properties: ~azure.mgmt.machinelearningservices.models.PartialBatchDeployment
@@ -26258,8 +24825,8 @@ def __init__(
         :paramtype tags: dict[str, str]
         """
         super(PartialBatchDeploymentPartialMinimalTrackedResourceWithProperties, self).__init__(**kwargs)
-        self.properties = kwargs.get('properties', None)
-        self.tags = kwargs.get('tags', None)
+        self.properties = kwargs.get("properties", None)
+        self.tags = kwargs.get("tags", None)
 
 
 class PartialJobBase(msrest.serialization.Model):
@@ -26271,20 +24838,17 @@ class PartialJobBase(msrest.serialization.Model):
     """
 
     _attribute_map = {
-        'notification_setting': {'key': 'notificationSetting', 'type': 'PartialNotificationSetting'},
+        "notification_setting": {"key": "notificationSetting", "type": "PartialNotificationSetting"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword notification_setting: Mutable notification setting for the job.
         :paramtype notification_setting:
          ~azure.mgmt.machinelearningservices.models.PartialNotificationSetting
         """
         super(PartialJobBase, self).__init__(**kwargs)
-        self.notification_setting = kwargs.get('notification_setting', None)
+        self.notification_setting = kwargs.get("notification_setting", None)
 
 
 class PartialJobBasePartialResource(msrest.serialization.Model):
@@ -26295,19 +24859,16 @@ class PartialJobBasePartialResource(msrest.serialization.Model):
     """
 
     _attribute_map = {
-        'properties': {'key': 'properties', 'type': 'PartialJobBase'},
+        "properties": {"key": "properties", "type": "PartialJobBase"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword properties: Additional attributes of the entity.
         :paramtype properties: ~azure.mgmt.machinelearningservices.models.PartialJobBase
         """
         super(PartialJobBasePartialResource, self).__init__(**kwargs)
-        self.properties = kwargs.get('properties', None)
+        self.properties = kwargs.get("properties", None)
 
 
 class PartialManagedServiceIdentity(msrest.serialization.Model):
@@ -26325,14 +24886,11 @@ class PartialManagedServiceIdentity(msrest.serialization.Model):
     """
 
     _attribute_map = {
-        'type': {'key': 'type', 'type': 'str'},
-        'user_assigned_identities': {'key': 'userAssignedIdentities', 'type': '{object}'},
+        "type": {"key": "type", "type": "str"},
+        "user_assigned_identities": {"key": "userAssignedIdentities", "type": "{object}"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword type: Managed service identity (system assigned and/or user assigned identities).
          Possible values include: "None", "SystemAssigned", "UserAssigned",
@@ -26345,8 +24903,8 @@ def __init__(
         :paramtype user_assigned_identities: dict[str, any]
         """
         super(PartialManagedServiceIdentity, self).__init__(**kwargs)
-        self.type = kwargs.get('type', None)
-        self.user_assigned_identities = kwargs.get('user_assigned_identities', None)
+        self.type = kwargs.get("type", None)
+        self.user_assigned_identities = kwargs.get("user_assigned_identities", None)
 
 
 class PartialMinimalTrackedResource(msrest.serialization.Model):
@@ -26357,19 +24915,16 @@ class PartialMinimalTrackedResource(msrest.serialization.Model):
     """
 
     _attribute_map = {
-        'tags': {'key': 'tags', 'type': '{str}'},
+        "tags": {"key": "tags", "type": "{str}"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword tags: A set of tags. Resource tags.
         :paramtype tags: dict[str, str]
         """
         super(PartialMinimalTrackedResource, self).__init__(**kwargs)
-        self.tags = kwargs.get('tags', None)
+        self.tags = kwargs.get("tags", None)
 
 
 class PartialMinimalTrackedResourceWithIdentity(PartialMinimalTrackedResource):
@@ -26382,14 +24937,11 @@ class PartialMinimalTrackedResourceWithIdentity(PartialMinimalTrackedResource):
     """
 
     _attribute_map = {
-        'tags': {'key': 'tags', 'type': '{str}'},
-        'identity': {'key': 'identity', 'type': 'PartialManagedServiceIdentity'},
+        "tags": {"key": "tags", "type": "{str}"},
+        "identity": {"key": "identity", "type": "PartialManagedServiceIdentity"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword tags: A set of tags. Resource tags.
         :paramtype tags: dict[str, str]
@@ -26397,7 +24949,7 @@ def __init__(
         :paramtype identity: ~azure.mgmt.machinelearningservices.models.PartialManagedServiceIdentity
         """
         super(PartialMinimalTrackedResourceWithIdentity, self).__init__(**kwargs)
-        self.identity = kwargs.get('identity', None)
+        self.identity = kwargs.get("identity", None)
 
 
 class PartialMinimalTrackedResourceWithSku(PartialMinimalTrackedResource):
@@ -26410,14 +24962,11 @@ class PartialMinimalTrackedResourceWithSku(PartialMinimalTrackedResource):
     """
 
     _attribute_map = {
-        'tags': {'key': 'tags', 'type': '{str}'},
-        'sku': {'key': 'sku', 'type': 'PartialSku'},
+        "tags": {"key": "tags", "type": "{str}"},
+        "sku": {"key": "sku", "type": "PartialSku"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword tags: A set of tags. Resource tags.
         :paramtype tags: dict[str, str]
@@ -26425,7 +24974,7 @@ def __init__(
         :paramtype sku: ~azure.mgmt.machinelearningservices.models.PartialSku
         """
         super(PartialMinimalTrackedResourceWithSku, self).__init__(**kwargs)
-        self.sku = kwargs.get('sku', None)
+        self.sku = kwargs.get("sku", None)
 
 
 class PartialMinimalTrackedResourceWithSkuAndIdentity(PartialMinimalTrackedResource):
@@ -26440,15 +24989,12 @@ class PartialMinimalTrackedResourceWithSkuAndIdentity(PartialMinimalTrackedResou
     """
 
     _attribute_map = {
-        'tags': {'key': 'tags', 'type': '{str}'},
-        'identity': {'key': 'identity', 'type': 'PartialManagedServiceIdentity'},
-        'sku': {'key': 'sku', 'type': 'PartialSku'},
+        "tags": {"key": "tags", "type": "{str}"},
+        "identity": {"key": "identity", "type": "PartialManagedServiceIdentity"},
+        "sku": {"key": "sku", "type": "PartialSku"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword tags: A set of tags. Resource tags.
         :paramtype tags: dict[str, str]
@@ -26458,8 +25004,8 @@ def __init__(
         :paramtype sku: ~azure.mgmt.machinelearningservices.models.PartialSku
         """
         super(PartialMinimalTrackedResourceWithSkuAndIdentity, self).__init__(**kwargs)
-        self.identity = kwargs.get('identity', None)
-        self.sku = kwargs.get('sku', None)
+        self.identity = kwargs.get("identity", None)
+        self.sku = kwargs.get("sku", None)
 
 
 class PartialNotificationSetting(msrest.serialization.Model):
@@ -26471,20 +25017,17 @@ class PartialNotificationSetting(msrest.serialization.Model):
     """
 
     _attribute_map = {
-        'webhooks': {'key': 'webhooks', 'type': '{Webhook}'},
+        "webhooks": {"key": "webhooks", "type": "{Webhook}"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword webhooks: Send webhook callback to a service. Key is a user-provided name for the
          webhook.
         :paramtype webhooks: dict[str, ~azure.mgmt.machinelearningservices.models.Webhook]
         """
         super(PartialNotificationSetting, self).__init__(**kwargs)
-        self.webhooks = kwargs.get('webhooks', None)
+        self.webhooks = kwargs.get("webhooks", None)
 
 
 class PartialRegistryPartialTrackedResource(msrest.serialization.Model):
@@ -26500,15 +25043,12 @@ class PartialRegistryPartialTrackedResource(msrest.serialization.Model):
     """
 
     _attribute_map = {
-        'identity': {'key': 'identity', 'type': 'RegistryPartialManagedServiceIdentity'},
-        'sku': {'key': 'sku', 'type': 'PartialSku'},
-        'tags': {'key': 'tags', 'type': '{str}'},
+        "identity": {"key": "identity", "type": "RegistryPartialManagedServiceIdentity"},
+        "sku": {"key": "sku", "type": "PartialSku"},
+        "tags": {"key": "tags", "type": "{str}"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword identity: Managed service identity (system assigned and/or user assigned identities).
         :paramtype identity:
@@ -26519,9 +25059,9 @@ def __init__(
         :paramtype tags: dict[str, str]
         """
         super(PartialRegistryPartialTrackedResource, self).__init__(**kwargs)
-        self.identity = kwargs.get('identity', None)
-        self.sku = kwargs.get('sku', None)
-        self.tags = kwargs.get('tags', None)
+        self.identity = kwargs.get("identity", None)
+        self.sku = kwargs.get("sku", None)
+        self.tags = kwargs.get("tags", None)
 
 
 class PartialSku(msrest.serialization.Model):
@@ -26545,17 +25085,14 @@ class PartialSku(msrest.serialization.Model):
     """
 
     _attribute_map = {
-        'capacity': {'key': 'capacity', 'type': 'int'},
-        'family': {'key': 'family', 'type': 'str'},
-        'name': {'key': 'name', 'type': 'str'},
-        'size': {'key': 'size', 'type': 'str'},
-        'tier': {'key': 'tier', 'type': 'str'},
+        "capacity": {"key": "capacity", "type": "int"},
+        "family": {"key": "family", "type": "str"},
+        "name": {"key": "name", "type": "str"},
+        "size": {"key": "size", "type": "str"},
+        "tier": {"key": "tier", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword capacity: If the SKU supports scale out/in then the capacity integer should be
          included. If scale out/in is not possible for the resource this may be omitted.
@@ -26574,11 +25111,11 @@ def __init__(
         :paramtype tier: str or ~azure.mgmt.machinelearningservices.models.SkuTier
         """
         super(PartialSku, self).__init__(**kwargs)
-        self.capacity = kwargs.get('capacity', None)
-        self.family = kwargs.get('family', None)
-        self.name = kwargs.get('name', None)
-        self.size = kwargs.get('size', None)
-        self.tier = kwargs.get('tier', None)
+        self.capacity = kwargs.get("capacity", None)
+        self.family = kwargs.get("family", None)
+        self.name = kwargs.get("name", None)
+        self.size = kwargs.get("size", None)
+        self.tier = kwargs.get("tier", None)
 
 
 class Password(msrest.serialization.Model):
@@ -26593,21 +25130,17 @@ class Password(msrest.serialization.Model):
     """
 
     _validation = {
-        'name': {'readonly': True},
-        'value': {'readonly': True},
+        "name": {"readonly": True},
+        "value": {"readonly": True},
     }
 
     _attribute_map = {
-        'name': {'key': 'name', 'type': 'str'},
-        'value': {'key': 'value', 'type': 'str'},
+        "name": {"key": "name", "type": "str"},
+        "value": {"key": "value", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
-        """
-        """
+    def __init__(self, **kwargs):
+        """ """
         super(Password, self).__init__(**kwargs)
         self.name = None
         self.value = None
@@ -26663,28 +25196,25 @@ class PATAuthTypeWorkspaceConnectionProperties(WorkspaceConnectionPropertiesV2):
     """
 
     _validation = {
-        'auth_type': {'required': True},
-        'created_by_workspace_arm_id': {'readonly': True},
-        'group': {'readonly': True},
+        "auth_type": {"required": True},
+        "created_by_workspace_arm_id": {"readonly": True},
+        "group": {"readonly": True},
     }
 
     _attribute_map = {
-        'auth_type': {'key': 'authType', 'type': 'str'},
-        'category': {'key': 'category', 'type': 'str'},
-        'created_by_workspace_arm_id': {'key': 'createdByWorkspaceArmId', 'type': 'str'},
-        'expiry_time': {'key': 'expiryTime', 'type': 'iso-8601'},
-        'group': {'key': 'group', 'type': 'str'},
-        'is_shared_to_all': {'key': 'isSharedToAll', 'type': 'bool'},
-        'metadata': {'key': 'metadata', 'type': 'object'},
-        'shared_user_list': {'key': 'sharedUserList', 'type': '[str]'},
-        'target': {'key': 'target', 'type': 'str'},
-        'credentials': {'key': 'credentials', 'type': 'WorkspaceConnectionPersonalAccessToken'},
+        "auth_type": {"key": "authType", "type": "str"},
+        "category": {"key": "category", "type": "str"},
+        "created_by_workspace_arm_id": {"key": "createdByWorkspaceArmId", "type": "str"},
+        "expiry_time": {"key": "expiryTime", "type": "iso-8601"},
+        "group": {"key": "group", "type": "str"},
+        "is_shared_to_all": {"key": "isSharedToAll", "type": "bool"},
+        "metadata": {"key": "metadata", "type": "object"},
+        "shared_user_list": {"key": "sharedUserList", "type": "[str]"},
+        "target": {"key": "target", "type": "str"},
+        "credentials": {"key": "credentials", "type": "WorkspaceConnectionPersonalAccessToken"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword category: Category of the connection. Possible values include: "PythonFeed",
          "ContainerRegistry", "Git", "S3", "Snowflake", "AzureSqlDb", "AzureSynapseAnalytics",
@@ -26719,8 +25249,8 @@ def __init__(
          ~azure.mgmt.machinelearningservices.models.WorkspaceConnectionPersonalAccessToken
         """
         super(PATAuthTypeWorkspaceConnectionProperties, self).__init__(**kwargs)
-        self.auth_type = 'PAT'  # type: str
-        self.credentials = kwargs.get('credentials', None)
+        self.auth_type = "PAT"  # type: str
+        self.credentials = kwargs.get("credentials", None)
 
 
 class PendingUploadCredentialDto(msrest.serialization.Model):
@@ -26738,23 +25268,17 @@ class PendingUploadCredentialDto(msrest.serialization.Model):
     """
 
     _validation = {
-        'credential_type': {'required': True},
+        "credential_type": {"required": True},
     }
 
     _attribute_map = {
-        'credential_type': {'key': 'credentialType', 'type': 'str'},
+        "credential_type": {"key": "credentialType", "type": "str"},
     }
 
-    _subtype_map = {
-        'credential_type': {'SAS': 'SASCredentialDto'}
-    }
+    _subtype_map = {"credential_type": {"SAS": "SASCredentialDto"}}
 
-    def __init__(
-            self,
-            **kwargs
-    ):
-        """
-        """
+    def __init__(self, **kwargs):
+        """ """
         super(PendingUploadCredentialDto, self).__init__(**kwargs)
         self.credential_type = None  # type: Optional[str]
 
@@ -26771,14 +25295,11 @@ class PendingUploadRequestDto(msrest.serialization.Model):
     """
 
     _attribute_map = {
-        'pending_upload_id': {'key': 'pendingUploadId', 'type': 'str'},
-        'pending_upload_type': {'key': 'pendingUploadType', 'type': 'str'},
+        "pending_upload_id": {"key": "pendingUploadId", "type": "str"},
+        "pending_upload_type": {"key": "pendingUploadType", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword pending_upload_id: If PendingUploadId = null then random guid will be used.
         :paramtype pending_upload_id: str
@@ -26788,8 +25309,8 @@ def __init__(
          ~azure.mgmt.machinelearningservices.models.PendingUploadType
         """
         super(PendingUploadRequestDto, self).__init__(**kwargs)
-        self.pending_upload_id = kwargs.get('pending_upload_id', None)
-        self.pending_upload_type = kwargs.get('pending_upload_type', None)
+        self.pending_upload_id = kwargs.get("pending_upload_id", None)
+        self.pending_upload_type = kwargs.get("pending_upload_type", None)
 
 
 class PendingUploadResponseDto(msrest.serialization.Model):
@@ -26807,16 +25328,15 @@ class PendingUploadResponseDto(msrest.serialization.Model):
     """
 
     _attribute_map = {
-        'blob_reference_for_consumption': {'key': 'blobReferenceForConsumption',
-                                           'type': 'BlobReferenceForConsumptionDto'},
-        'pending_upload_id': {'key': 'pendingUploadId', 'type': 'str'},
-        'pending_upload_type': {'key': 'pendingUploadType', 'type': 'str'},
+        "blob_reference_for_consumption": {
+            "key": "blobReferenceForConsumption",
+            "type": "BlobReferenceForConsumptionDto",
+        },
+        "pending_upload_id": {"key": "pendingUploadId", "type": "str"},
+        "pending_upload_type": {"key": "pendingUploadType", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword blob_reference_for_consumption: Container level read, write, list SAS.
         :paramtype blob_reference_for_consumption:
@@ -26829,9 +25349,9 @@ def __init__(
          ~azure.mgmt.machinelearningservices.models.PendingUploadType
         """
         super(PendingUploadResponseDto, self).__init__(**kwargs)
-        self.blob_reference_for_consumption = kwargs.get('blob_reference_for_consumption', None)
-        self.pending_upload_id = kwargs.get('pending_upload_id', None)
-        self.pending_upload_type = kwargs.get('pending_upload_type', None)
+        self.blob_reference_for_consumption = kwargs.get("blob_reference_for_consumption", None)
+        self.pending_upload_id = kwargs.get("pending_upload_id", None)
+        self.pending_upload_type = kwargs.get("pending_upload_type", None)
 
 
 class PersonalComputeInstanceSettings(msrest.serialization.Model):
@@ -26842,19 +25362,16 @@ class PersonalComputeInstanceSettings(msrest.serialization.Model):
     """
 
     _attribute_map = {
-        'assigned_user': {'key': 'assignedUser', 'type': 'AssignedUser'},
+        "assigned_user": {"key": "assignedUser", "type": "AssignedUser"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword assigned_user: A user explicitly assigned to a personal compute instance.
         :paramtype assigned_user: ~azure.mgmt.machinelearningservices.models.AssignedUser
         """
         super(PersonalComputeInstanceSettings, self).__init__(**kwargs)
-        self.assigned_user = kwargs.get('assigned_user', None)
+        self.assigned_user = kwargs.get("assigned_user", None)
 
 
 class PipelineJob(JobBaseProperties):
@@ -26914,36 +25431,33 @@ class PipelineJob(JobBaseProperties):
     """
 
     _validation = {
-        'job_type': {'required': True},
-        'status': {'readonly': True},
+        "job_type": {"required": True},
+        "status": {"readonly": True},
     }
 
     _attribute_map = {
-        'description': {'key': 'description', 'type': 'str'},
-        'properties': {'key': 'properties', 'type': '{str}'},
-        'tags': {'key': 'tags', 'type': '{str}'},
-        'component_id': {'key': 'componentId', 'type': 'str'},
-        'compute_id': {'key': 'computeId', 'type': 'str'},
-        'display_name': {'key': 'displayName', 'type': 'str'},
-        'experiment_name': {'key': 'experimentName', 'type': 'str'},
-        'identity': {'key': 'identity', 'type': 'IdentityConfiguration'},
-        'is_archived': {'key': 'isArchived', 'type': 'bool'},
-        'job_type': {'key': 'jobType', 'type': 'str'},
-        'notification_setting': {'key': 'notificationSetting', 'type': 'NotificationSetting'},
-        'secrets_configuration': {'key': 'secretsConfiguration', 'type': '{SecretConfiguration}'},
-        'services': {'key': 'services', 'type': '{JobService}'},
-        'status': {'key': 'status', 'type': 'str'},
-        'inputs': {'key': 'inputs', 'type': '{JobInput}'},
-        'jobs': {'key': 'jobs', 'type': '{object}'},
-        'outputs': {'key': 'outputs', 'type': '{JobOutput}'},
-        'settings': {'key': 'settings', 'type': 'object'},
-        'source_job_id': {'key': 'sourceJobId', 'type': 'str'},
+        "description": {"key": "description", "type": "str"},
+        "properties": {"key": "properties", "type": "{str}"},
+        "tags": {"key": "tags", "type": "{str}"},
+        "component_id": {"key": "componentId", "type": "str"},
+        "compute_id": {"key": "computeId", "type": "str"},
+        "display_name": {"key": "displayName", "type": "str"},
+        "experiment_name": {"key": "experimentName", "type": "str"},
+        "identity": {"key": "identity", "type": "IdentityConfiguration"},
+        "is_archived": {"key": "isArchived", "type": "bool"},
+        "job_type": {"key": "jobType", "type": "str"},
+        "notification_setting": {"key": "notificationSetting", "type": "NotificationSetting"},
+        "secrets_configuration": {"key": "secretsConfiguration", "type": "{SecretConfiguration}"},
+        "services": {"key": "services", "type": "{JobService}"},
+        "status": {"key": "status", "type": "str"},
+        "inputs": {"key": "inputs", "type": "{JobInput}"},
+        "jobs": {"key": "jobs", "type": "{object}"},
+        "outputs": {"key": "outputs", "type": "{JobOutput}"},
+        "settings": {"key": "settings", "type": "object"},
+        "source_job_id": {"key": "sourceJobId", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword description: The asset description text.
         :paramtype description: str
@@ -26986,12 +25500,12 @@ def __init__(
         :paramtype source_job_id: str
         """
         super(PipelineJob, self).__init__(**kwargs)
-        self.job_type = 'Pipeline'  # type: str
-        self.inputs = kwargs.get('inputs', None)
-        self.jobs = kwargs.get('jobs', None)
-        self.outputs = kwargs.get('outputs', None)
-        self.settings = kwargs.get('settings', None)
-        self.source_job_id = kwargs.get('source_job_id', None)
+        self.job_type = "Pipeline"  # type: str
+        self.inputs = kwargs.get("inputs", None)
+        self.jobs = kwargs.get("jobs", None)
+        self.outputs = kwargs.get("outputs", None)
+        self.settings = kwargs.get("settings", None)
+        self.source_job_id = kwargs.get("source_job_id", None)
 
 
 class PoolEnvironmentConfiguration(msrest.serialization.Model):
@@ -27013,17 +25527,14 @@ class PoolEnvironmentConfiguration(msrest.serialization.Model):
     """
 
     _attribute_map = {
-        'environment_id': {'key': 'environmentId', 'type': 'str'},
-        'environment_variables': {'key': 'environmentVariables', 'type': '{str}'},
-        'liveness_probe': {'key': 'livenessProbe', 'type': 'ProbeSettings'},
-        'readiness_probe': {'key': 'readinessProbe', 'type': 'ProbeSettings'},
-        'startup_probe': {'key': 'startupProbe', 'type': 'ProbeSettings'},
+        "environment_id": {"key": "environmentId", "type": "str"},
+        "environment_variables": {"key": "environmentVariables", "type": "{str}"},
+        "liveness_probe": {"key": "livenessProbe", "type": "ProbeSettings"},
+        "readiness_probe": {"key": "readinessProbe", "type": "ProbeSettings"},
+        "startup_probe": {"key": "startupProbe", "type": "ProbeSettings"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword environment_id: ARM resource ID of the environment specification for the inference
          pool.
@@ -27041,11 +25552,11 @@ def __init__(
         :paramtype startup_probe: ~azure.mgmt.machinelearningservices.models.ProbeSettings
         """
         super(PoolEnvironmentConfiguration, self).__init__(**kwargs)
-        self.environment_id = kwargs.get('environment_id', None)
-        self.environment_variables = kwargs.get('environment_variables', None)
-        self.liveness_probe = kwargs.get('liveness_probe', None)
-        self.readiness_probe = kwargs.get('readiness_probe', None)
-        self.startup_probe = kwargs.get('startup_probe', None)
+        self.environment_id = kwargs.get("environment_id", None)
+        self.environment_variables = kwargs.get("environment_variables", None)
+        self.liveness_probe = kwargs.get("liveness_probe", None)
+        self.readiness_probe = kwargs.get("readiness_probe", None)
+        self.startup_probe = kwargs.get("startup_probe", None)
 
 
 class PoolModelConfiguration(msrest.serialization.Model):
@@ -27056,19 +25567,16 @@ class PoolModelConfiguration(msrest.serialization.Model):
     """
 
     _attribute_map = {
-        'model_id': {'key': 'modelId', 'type': 'str'},
+        "model_id": {"key": "modelId", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword model_id: The URI path to the model.
         :paramtype model_id: str
         """
         super(PoolModelConfiguration, self).__init__(**kwargs)
-        self.model_id = kwargs.get('model_id', None)
+        self.model_id = kwargs.get("model_id", None)
 
 
 class PoolStatus(msrest.serialization.Model):
@@ -27086,16 +25594,13 @@ class PoolStatus(msrest.serialization.Model):
     """
 
     _attribute_map = {
-        'actual_capacity': {'key': 'actualCapacity', 'type': 'int'},
-        'group_count': {'key': 'groupCount', 'type': 'int'},
-        'requested_capacity': {'key': 'requestedCapacity', 'type': 'int'},
-        'reserved_capacity': {'key': 'reservedCapacity', 'type': 'int'},
+        "actual_capacity": {"key": "actualCapacity", "type": "int"},
+        "group_count": {"key": "groupCount", "type": "int"},
+        "requested_capacity": {"key": "requestedCapacity", "type": "int"},
+        "reserved_capacity": {"key": "reservedCapacity", "type": "int"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword actual_capacity: Gets or sets the actual number of instances in the pool.
         :paramtype actual_capacity: int
@@ -27108,10 +25613,10 @@ def __init__(
         :paramtype reserved_capacity: int
         """
         super(PoolStatus, self).__init__(**kwargs)
-        self.actual_capacity = kwargs.get('actual_capacity', 0)
-        self.group_count = kwargs.get('group_count', 0)
-        self.requested_capacity = kwargs.get('requested_capacity', 0)
-        self.reserved_capacity = kwargs.get('reserved_capacity', 0)
+        self.actual_capacity = kwargs.get("actual_capacity", 0)
+        self.group_count = kwargs.get("group_count", 0)
+        self.requested_capacity = kwargs.get("requested_capacity", 0)
+        self.reserved_capacity = kwargs.get("reserved_capacity", 0)
 
 
 class PredictionDriftMonitoringSignal(MonitoringSignalBase):
@@ -27144,26 +25649,23 @@ class PredictionDriftMonitoringSignal(MonitoringSignalBase):
     """
 
     _validation = {
-        'signal_type': {'required': True},
-        'metric_thresholds': {'required': True},
-        'production_data': {'required': True},
-        'reference_data': {'required': True},
+        "signal_type": {"required": True},
+        "metric_thresholds": {"required": True},
+        "production_data": {"required": True},
+        "reference_data": {"required": True},
     }
 
     _attribute_map = {
-        'notification_types': {'key': 'notificationTypes', 'type': '[str]'},
-        'properties': {'key': 'properties', 'type': '{str}'},
-        'signal_type': {'key': 'signalType', 'type': 'str'},
-        'feature_data_type_override': {'key': 'featureDataTypeOverride', 'type': '{str}'},
-        'metric_thresholds': {'key': 'metricThresholds', 'type': '[PredictionDriftMetricThresholdBase]'},
-        'production_data': {'key': 'productionData', 'type': 'MonitoringInputDataBase'},
-        'reference_data': {'key': 'referenceData', 'type': 'MonitoringInputDataBase'},
+        "notification_types": {"key": "notificationTypes", "type": "[str]"},
+        "properties": {"key": "properties", "type": "{str}"},
+        "signal_type": {"key": "signalType", "type": "str"},
+        "feature_data_type_override": {"key": "featureDataTypeOverride", "type": "{str}"},
+        "metric_thresholds": {"key": "metricThresholds", "type": "[PredictionDriftMetricThresholdBase]"},
+        "production_data": {"key": "productionData", "type": "MonitoringInputDataBase"},
+        "reference_data": {"key": "referenceData", "type": "MonitoringInputDataBase"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword notification_types: The current notification mode for this signal.
         :paramtype notification_types: list[str or
@@ -27184,11 +25686,11 @@ def __init__(
         :paramtype reference_data: ~azure.mgmt.machinelearningservices.models.MonitoringInputDataBase
         """
         super(PredictionDriftMonitoringSignal, self).__init__(**kwargs)
-        self.signal_type = 'PredictionDrift'  # type: str
-        self.feature_data_type_override = kwargs.get('feature_data_type_override', None)
-        self.metric_thresholds = kwargs['metric_thresholds']
-        self.production_data = kwargs['production_data']
-        self.reference_data = kwargs['reference_data']
+        self.signal_type = "PredictionDrift"  # type: str
+        self.feature_data_type_override = kwargs.get("feature_data_type_override", None)
+        self.metric_thresholds = kwargs["metric_thresholds"]
+        self.production_data = kwargs["production_data"]
+        self.reference_data = kwargs["reference_data"]
 
 
 class PrivateEndpoint(msrest.serialization.Model):
@@ -27201,19 +25703,15 @@ class PrivateEndpoint(msrest.serialization.Model):
     """
 
     _validation = {
-        'id': {'readonly': True},
+        "id": {"readonly": True},
     }
 
     _attribute_map = {
-        'id': {'key': 'id', 'type': 'str'},
+        "id": {"key": "id", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
-        """
-        """
+    def __init__(self, **kwargs):
+        """ """
         super(PrivateEndpoint, self).__init__(**kwargs)
         self.id = None
 
@@ -27256,31 +25754,30 @@ class PrivateEndpointConnection(Resource):
     """
 
     _validation = {
-        'id': {'readonly': True},
-        'name': {'readonly': True},
-        'type': {'readonly': True},
-        'system_data': {'readonly': True},
+        "id": {"readonly": True},
+        "name": {"readonly": True},
+        "type": {"readonly": True},
+        "system_data": {"readonly": True},
     }
 
     _attribute_map = {
-        'id': {'key': 'id', 'type': 'str'},
-        'name': {'key': 'name', 'type': 'str'},
-        'type': {'key': 'type', 'type': 'str'},
-        'system_data': {'key': 'systemData', 'type': 'SystemData'},
-        'identity': {'key': 'identity', 'type': 'ManagedServiceIdentity'},
-        'location': {'key': 'location', 'type': 'str'},
-        'sku': {'key': 'sku', 'type': 'Sku'},
-        'tags': {'key': 'tags', 'type': '{str}'},
-        'private_endpoint': {'key': 'properties.privateEndpoint', 'type': 'WorkspacePrivateEndpointResource'},
-        'private_link_service_connection_state': {'key': 'properties.privateLinkServiceConnectionState',
-                                                  'type': 'PrivateLinkServiceConnectionState'},
-        'provisioning_state': {'key': 'properties.provisioningState', 'type': 'str'},
+        "id": {"key": "id", "type": "str"},
+        "name": {"key": "name", "type": "str"},
+        "type": {"key": "type", "type": "str"},
+        "system_data": {"key": "systemData", "type": "SystemData"},
+        "identity": {"key": "identity", "type": "ManagedServiceIdentity"},
+        "location": {"key": "location", "type": "str"},
+        "sku": {"key": "sku", "type": "Sku"},
+        "tags": {"key": "tags", "type": "{str}"},
+        "private_endpoint": {"key": "properties.privateEndpoint", "type": "WorkspacePrivateEndpointResource"},
+        "private_link_service_connection_state": {
+            "key": "properties.privateLinkServiceConnectionState",
+            "type": "PrivateLinkServiceConnectionState",
+        },
+        "provisioning_state": {"key": "properties.provisioningState", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword identity: Managed service identity (system assigned and/or user assigned identities).
         :paramtype identity: ~azure.mgmt.machinelearningservices.models.ManagedServiceIdentity
@@ -27303,13 +25800,13 @@ def __init__(
          ~azure.mgmt.machinelearningservices.models.PrivateEndpointConnectionProvisioningState
         """
         super(PrivateEndpointConnection, self).__init__(**kwargs)
-        self.identity = kwargs.get('identity', None)
-        self.location = kwargs.get('location', None)
-        self.sku = kwargs.get('sku', None)
-        self.tags = kwargs.get('tags', None)
-        self.private_endpoint = kwargs.get('private_endpoint', None)
-        self.private_link_service_connection_state = kwargs.get('private_link_service_connection_state', None)
-        self.provisioning_state = kwargs.get('provisioning_state', None)
+        self.identity = kwargs.get("identity", None)
+        self.location = kwargs.get("location", None)
+        self.sku = kwargs.get("sku", None)
+        self.tags = kwargs.get("tags", None)
+        self.private_endpoint = kwargs.get("private_endpoint", None)
+        self.private_link_service_connection_state = kwargs.get("private_link_service_connection_state", None)
+        self.provisioning_state = kwargs.get("provisioning_state", None)
 
 
 class PrivateEndpointConnectionListResult(msrest.serialization.Model):
@@ -27320,19 +25817,16 @@ class PrivateEndpointConnectionListResult(msrest.serialization.Model):
     """
 
     _attribute_map = {
-        'value': {'key': 'value', 'type': '[PrivateEndpointConnection]'},
+        "value": {"key": "value", "type": "[PrivateEndpointConnection]"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword value: Array of private endpoint connections.
         :paramtype value: list[~azure.mgmt.machinelearningservices.models.PrivateEndpointConnection]
         """
         super(PrivateEndpointConnectionListResult, self).__init__(**kwargs)
-        self.value = kwargs.get('value', None)
+        self.value = kwargs.get("value", None)
 
 
 class PrivateEndpointDestination(msrest.serialization.Model):
@@ -27350,16 +25844,13 @@ class PrivateEndpointDestination(msrest.serialization.Model):
     """
 
     _attribute_map = {
-        'service_resource_id': {'key': 'serviceResourceId', 'type': 'str'},
-        'spark_enabled': {'key': 'sparkEnabled', 'type': 'bool'},
-        'spark_status': {'key': 'sparkStatus', 'type': 'str'},
-        'subresource_target': {'key': 'subresourceTarget', 'type': 'str'},
+        "service_resource_id": {"key": "serviceResourceId", "type": "str"},
+        "spark_enabled": {"key": "sparkEnabled", "type": "bool"},
+        "spark_status": {"key": "sparkStatus", "type": "str"},
+        "subresource_target": {"key": "subresourceTarget", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword service_resource_id:
         :paramtype service_resource_id: str
@@ -27372,10 +25863,10 @@ def __init__(
         :paramtype subresource_target: str
         """
         super(PrivateEndpointDestination, self).__init__(**kwargs)
-        self.service_resource_id = kwargs.get('service_resource_id', None)
-        self.spark_enabled = kwargs.get('spark_enabled', None)
-        self.spark_status = kwargs.get('spark_status', None)
-        self.subresource_target = kwargs.get('subresource_target', None)
+        self.service_resource_id = kwargs.get("service_resource_id", None)
+        self.spark_enabled = kwargs.get("spark_enabled", None)
+        self.spark_status = kwargs.get("spark_status", None)
+        self.subresource_target = kwargs.get("subresource_target", None)
 
 
 class PrivateEndpointOutboundRule(OutboundRule):
@@ -27399,20 +25890,17 @@ class PrivateEndpointOutboundRule(OutboundRule):
     """
 
     _validation = {
-        'type': {'required': True},
+        "type": {"required": True},
     }
 
     _attribute_map = {
-        'category': {'key': 'category', 'type': 'str'},
-        'status': {'key': 'status', 'type': 'str'},
-        'type': {'key': 'type', 'type': 'str'},
-        'destination': {'key': 'destination', 'type': 'PrivateEndpointDestination'},
+        "category": {"key": "category", "type": "str"},
+        "status": {"key": "status", "type": "str"},
+        "type": {"key": "type", "type": "str"},
+        "destination": {"key": "destination", "type": "PrivateEndpointDestination"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword category: Category of a managed network Outbound Rule of a machine learning workspace.
          Possible values include: "Required", "Recommended", "UserDefined".
@@ -27425,8 +25913,8 @@ def __init__(
         :paramtype destination: ~azure.mgmt.machinelearningservices.models.PrivateEndpointDestination
         """
         super(PrivateEndpointOutboundRule, self).__init__(**kwargs)
-        self.type = 'PrivateEndpoint'  # type: str
-        self.destination = kwargs.get('destination', None)
+        self.type = "PrivateEndpoint"  # type: str
+        self.destination = kwargs.get("destination", None)
 
 
 class PrivateEndpointResource(PrivateEndpoint):
@@ -27441,24 +25929,21 @@ class PrivateEndpointResource(PrivateEndpoint):
     """
 
     _validation = {
-        'id': {'readonly': True},
+        "id": {"readonly": True},
     }
 
     _attribute_map = {
-        'id': {'key': 'id', 'type': 'str'},
-        'subnet_arm_id': {'key': 'subnetArmId', 'type': 'str'},
+        "id": {"key": "id", "type": "str"},
+        "subnet_arm_id": {"key": "subnetArmId", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword subnet_arm_id: The subnetId that the private endpoint is connected to.
         :paramtype subnet_arm_id: str
         """
         super(PrivateEndpointResource, self).__init__(**kwargs)
-        self.subnet_arm_id = kwargs.get('subnet_arm_id', None)
+        self.subnet_arm_id = kwargs.get("subnet_arm_id", None)
 
 
 class PrivateLinkResource(Resource):
@@ -27495,30 +25980,27 @@ class PrivateLinkResource(Resource):
     """
 
     _validation = {
-        'id': {'readonly': True},
-        'name': {'readonly': True},
-        'type': {'readonly': True},
-        'system_data': {'readonly': True},
+        "id": {"readonly": True},
+        "name": {"readonly": True},
+        "type": {"readonly": True},
+        "system_data": {"readonly": True},
     }
 
     _attribute_map = {
-        'id': {'key': 'id', 'type': 'str'},
-        'name': {'key': 'name', 'type': 'str'},
-        'type': {'key': 'type', 'type': 'str'},
-        'system_data': {'key': 'systemData', 'type': 'SystemData'},
-        'identity': {'key': 'identity', 'type': 'ManagedServiceIdentity'},
-        'location': {'key': 'location', 'type': 'str'},
-        'sku': {'key': 'sku', 'type': 'Sku'},
-        'tags': {'key': 'tags', 'type': '{str}'},
-        'group_id': {'key': 'properties.groupId', 'type': 'str'},
-        'required_members': {'key': 'properties.requiredMembers', 'type': '[str]'},
-        'required_zone_names': {'key': 'properties.requiredZoneNames', 'type': '[str]'},
+        "id": {"key": "id", "type": "str"},
+        "name": {"key": "name", "type": "str"},
+        "type": {"key": "type", "type": "str"},
+        "system_data": {"key": "systemData", "type": "SystemData"},
+        "identity": {"key": "identity", "type": "ManagedServiceIdentity"},
+        "location": {"key": "location", "type": "str"},
+        "sku": {"key": "sku", "type": "Sku"},
+        "tags": {"key": "tags", "type": "{str}"},
+        "group_id": {"key": "properties.groupId", "type": "str"},
+        "required_members": {"key": "properties.requiredMembers", "type": "[str]"},
+        "required_zone_names": {"key": "properties.requiredZoneNames", "type": "[str]"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword identity: Managed service identity (system assigned and/or user assigned identities).
         :paramtype identity: ~azure.mgmt.machinelearningservices.models.ManagedServiceIdentity
@@ -27537,13 +26019,13 @@ def __init__(
         :paramtype required_zone_names: list[str]
         """
         super(PrivateLinkResource, self).__init__(**kwargs)
-        self.identity = kwargs.get('identity', None)
-        self.location = kwargs.get('location', None)
-        self.sku = kwargs.get('sku', None)
-        self.tags = kwargs.get('tags', None)
-        self.group_id = kwargs.get('group_id', None)
-        self.required_members = kwargs.get('required_members', None)
-        self.required_zone_names = kwargs.get('required_zone_names', None)
+        self.identity = kwargs.get("identity", None)
+        self.location = kwargs.get("location", None)
+        self.sku = kwargs.get("sku", None)
+        self.tags = kwargs.get("tags", None)
+        self.group_id = kwargs.get("group_id", None)
+        self.required_members = kwargs.get("required_members", None)
+        self.required_zone_names = kwargs.get("required_zone_names", None)
 
 
 class PrivateLinkResourceListResult(msrest.serialization.Model):
@@ -27554,19 +26036,16 @@ class PrivateLinkResourceListResult(msrest.serialization.Model):
     """
 
     _attribute_map = {
-        'value': {'key': 'value', 'type': '[PrivateLinkResource]'},
+        "value": {"key": "value", "type": "[PrivateLinkResource]"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword value:
         :paramtype value: list[~azure.mgmt.machinelearningservices.models.PrivateLinkResource]
         """
         super(PrivateLinkResourceListResult, self).__init__(**kwargs)
-        self.value = kwargs.get('value', None)
+        self.value = kwargs.get("value", None)
 
 
 class PrivateLinkServiceConnectionState(msrest.serialization.Model):
@@ -27584,15 +26063,12 @@ class PrivateLinkServiceConnectionState(msrest.serialization.Model):
     """
 
     _attribute_map = {
-        'actions_required': {'key': 'actionsRequired', 'type': 'str'},
-        'description': {'key': 'description', 'type': 'str'},
-        'status': {'key': 'status', 'type': 'str'},
+        "actions_required": {"key": "actionsRequired", "type": "str"},
+        "description": {"key": "description", "type": "str"},
+        "status": {"key": "status", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword actions_required: Some RP chose "None". Other RPs use this for region expansion.
         :paramtype actions_required: str
@@ -27605,9 +26081,9 @@ def __init__(
          ~azure.mgmt.machinelearningservices.models.EndpointServiceConnectionStatus
         """
         super(PrivateLinkServiceConnectionState, self).__init__(**kwargs)
-        self.actions_required = kwargs.get('actions_required', None)
-        self.description = kwargs.get('description', None)
-        self.status = kwargs.get('status', None)
+        self.actions_required = kwargs.get("actions_required", None)
+        self.description = kwargs.get("description", None)
+        self.status = kwargs.get("status", None)
 
 
 class ProbeSettings(msrest.serialization.Model):
@@ -27626,17 +26102,14 @@ class ProbeSettings(msrest.serialization.Model):
     """
 
     _attribute_map = {
-        'failure_threshold': {'key': 'failureThreshold', 'type': 'int'},
-        'initial_delay': {'key': 'initialDelay', 'type': 'duration'},
-        'period': {'key': 'period', 'type': 'duration'},
-        'success_threshold': {'key': 'successThreshold', 'type': 'int'},
-        'timeout': {'key': 'timeout', 'type': 'duration'},
+        "failure_threshold": {"key": "failureThreshold", "type": "int"},
+        "initial_delay": {"key": "initialDelay", "type": "duration"},
+        "period": {"key": "period", "type": "duration"},
+        "success_threshold": {"key": "successThreshold", "type": "int"},
+        "timeout": {"key": "timeout", "type": "duration"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword failure_threshold: The number of failures to allow before returning an unhealthy
          status.
@@ -27651,11 +26124,11 @@ def __init__(
         :paramtype timeout: ~datetime.timedelta
         """
         super(ProbeSettings, self).__init__(**kwargs)
-        self.failure_threshold = kwargs.get('failure_threshold', 30)
-        self.initial_delay = kwargs.get('initial_delay', None)
-        self.period = kwargs.get('period', "PT10S")
-        self.success_threshold = kwargs.get('success_threshold', 1)
-        self.timeout = kwargs.get('timeout', "PT2S")
+        self.failure_threshold = kwargs.get("failure_threshold", 30)
+        self.initial_delay = kwargs.get("initial_delay", None)
+        self.period = kwargs.get("period", "PT10S")
+        self.success_threshold = kwargs.get("success_threshold", 1)
+        self.timeout = kwargs.get("timeout", "PT2S")
 
 
 class ProgressMetrics(msrest.serialization.Model):
@@ -27675,25 +26148,21 @@ class ProgressMetrics(msrest.serialization.Model):
     """
 
     _validation = {
-        'completed_datapoint_count': {'readonly': True},
-        'incremental_data_last_refresh_date_time': {'readonly': True},
-        'skipped_datapoint_count': {'readonly': True},
-        'total_datapoint_count': {'readonly': True},
+        "completed_datapoint_count": {"readonly": True},
+        "incremental_data_last_refresh_date_time": {"readonly": True},
+        "skipped_datapoint_count": {"readonly": True},
+        "total_datapoint_count": {"readonly": True},
     }
 
     _attribute_map = {
-        'completed_datapoint_count': {'key': 'completedDatapointCount', 'type': 'long'},
-        'incremental_data_last_refresh_date_time': {'key': 'incrementalDataLastRefreshDateTime', 'type': 'iso-8601'},
-        'skipped_datapoint_count': {'key': 'skippedDatapointCount', 'type': 'long'},
-        'total_datapoint_count': {'key': 'totalDatapointCount', 'type': 'long'},
+        "completed_datapoint_count": {"key": "completedDatapointCount", "type": "long"},
+        "incremental_data_last_refresh_date_time": {"key": "incrementalDataLastRefreshDateTime", "type": "iso-8601"},
+        "skipped_datapoint_count": {"key": "skippedDatapointCount", "type": "long"},
+        "total_datapoint_count": {"key": "totalDatapointCount", "type": "long"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
-        """
-        """
+    def __init__(self, **kwargs):
+        """ """
         super(ProgressMetrics, self).__init__(**kwargs)
         self.completed_datapoint_count = None
         self.incremental_data_last_refresh_date_time = None
@@ -27715,25 +26184,22 @@ class PyTorch(DistributionConfiguration):
     """
 
     _validation = {
-        'distribution_type': {'required': True},
+        "distribution_type": {"required": True},
     }
 
     _attribute_map = {
-        'distribution_type': {'key': 'distributionType', 'type': 'str'},
-        'process_count_per_instance': {'key': 'processCountPerInstance', 'type': 'int'},
+        "distribution_type": {"key": "distributionType", "type": "str"},
+        "process_count_per_instance": {"key": "processCountPerInstance", "type": "int"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword process_count_per_instance: Number of processes per node.
         :paramtype process_count_per_instance: int
         """
         super(PyTorch, self).__init__(**kwargs)
-        self.distribution_type = 'PyTorch'  # type: str
-        self.process_count_per_instance = kwargs.get('process_count_per_instance', None)
+        self.distribution_type = "PyTorch"  # type: str
+        self.process_count_per_instance = kwargs.get("process_count_per_instance", None)
 
 
 class QueueSettings(msrest.serialization.Model):
@@ -27747,14 +26213,11 @@ class QueueSettings(msrest.serialization.Model):
     """
 
     _attribute_map = {
-        'job_tier': {'key': 'jobTier', 'type': 'str'},
-        'priority': {'key': 'priority', 'type': 'int'},
+        "job_tier": {"key": "jobTier", "type": "str"},
+        "priority": {"key": "priority", "type": "int"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword job_tier: Controls the compute job tier. Possible values include: "Null", "Spot",
          "Basic", "Standard", "Premium".
@@ -27763,8 +26226,8 @@ def __init__(
         :paramtype priority: int
         """
         super(QueueSettings, self).__init__(**kwargs)
-        self.job_tier = kwargs.get('job_tier', None)
-        self.priority = kwargs.get('priority', None)
+        self.job_tier = kwargs.get("job_tier", None)
+        self.priority = kwargs.get("priority", None)
 
 
 class QuotaBaseProperties(msrest.serialization.Model):
@@ -27781,16 +26244,13 @@ class QuotaBaseProperties(msrest.serialization.Model):
     """
 
     _attribute_map = {
-        'id': {'key': 'id', 'type': 'str'},
-        'type': {'key': 'type', 'type': 'str'},
-        'limit': {'key': 'limit', 'type': 'long'},
-        'unit': {'key': 'unit', 'type': 'str'},
+        "id": {"key": "id", "type": "str"},
+        "type": {"key": "type", "type": "str"},
+        "limit": {"key": "limit", "type": "long"},
+        "unit": {"key": "unit", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword id: Specifies the resource ID.
         :paramtype id: str
@@ -27803,10 +26263,10 @@ def __init__(
         :paramtype unit: str or ~azure.mgmt.machinelearningservices.models.QuotaUnit
         """
         super(QuotaBaseProperties, self).__init__(**kwargs)
-        self.id = kwargs.get('id', None)
-        self.type = kwargs.get('type', None)
-        self.limit = kwargs.get('limit', None)
-        self.unit = kwargs.get('unit', None)
+        self.id = kwargs.get("id", None)
+        self.type = kwargs.get("type", None)
+        self.limit = kwargs.get("limit", None)
+        self.unit = kwargs.get("unit", None)
 
 
 class QuotaUpdateParameters(msrest.serialization.Model):
@@ -27819,14 +26279,11 @@ class QuotaUpdateParameters(msrest.serialization.Model):
     """
 
     _attribute_map = {
-        'value': {'key': 'value', 'type': '[QuotaBaseProperties]'},
-        'location': {'key': 'location', 'type': 'str'},
+        "value": {"key": "value", "type": "[QuotaBaseProperties]"},
+        "location": {"key": "location", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword value: The list for update quota.
         :paramtype value: list[~azure.mgmt.machinelearningservices.models.QuotaBaseProperties]
@@ -27834,8 +26291,8 @@ def __init__(
         :paramtype location: str
         """
         super(QuotaUpdateParameters, self).__init__(**kwargs)
-        self.value = kwargs.get('value', None)
-        self.location = kwargs.get('location', None)
+        self.value = kwargs.get("value", None)
+        self.location = kwargs.get("location", None)
 
 
 class RandomSamplingAlgorithm(SamplingAlgorithm):
@@ -27858,20 +26315,17 @@ class RandomSamplingAlgorithm(SamplingAlgorithm):
     """
 
     _validation = {
-        'sampling_algorithm_type': {'required': True},
+        "sampling_algorithm_type": {"required": True},
     }
 
     _attribute_map = {
-        'sampling_algorithm_type': {'key': 'samplingAlgorithmType', 'type': 'str'},
-        'logbase': {'key': 'logbase', 'type': 'str'},
-        'rule': {'key': 'rule', 'type': 'str'},
-        'seed': {'key': 'seed', 'type': 'int'},
+        "sampling_algorithm_type": {"key": "samplingAlgorithmType", "type": "str"},
+        "logbase": {"key": "logbase", "type": "str"},
+        "rule": {"key": "rule", "type": "str"},
+        "seed": {"key": "seed", "type": "int"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword logbase: An optional positive number or e in string format to be used as base for log
          based random sampling.
@@ -27883,10 +26337,10 @@ def __init__(
         :paramtype seed: int
         """
         super(RandomSamplingAlgorithm, self).__init__(**kwargs)
-        self.sampling_algorithm_type = 'Random'  # type: str
-        self.logbase = kwargs.get('logbase', None)
-        self.rule = kwargs.get('rule', None)
-        self.seed = kwargs.get('seed', None)
+        self.sampling_algorithm_type = "Random"  # type: str
+        self.logbase = kwargs.get("logbase", None)
+        self.rule = kwargs.get("rule", None)
+        self.seed = kwargs.get("seed", None)
 
 
 class Ray(DistributionConfiguration):
@@ -27913,23 +26367,20 @@ class Ray(DistributionConfiguration):
     """
 
     _validation = {
-        'distribution_type': {'required': True},
+        "distribution_type": {"required": True},
     }
 
     _attribute_map = {
-        'distribution_type': {'key': 'distributionType', 'type': 'str'},
-        'address': {'key': 'address', 'type': 'str'},
-        'dashboard_port': {'key': 'dashboardPort', 'type': 'int'},
-        'head_node_additional_args': {'key': 'headNodeAdditionalArgs', 'type': 'str'},
-        'include_dashboard': {'key': 'includeDashboard', 'type': 'bool'},
-        'port': {'key': 'port', 'type': 'int'},
-        'worker_node_additional_args': {'key': 'workerNodeAdditionalArgs', 'type': 'str'},
+        "distribution_type": {"key": "distributionType", "type": "str"},
+        "address": {"key": "address", "type": "str"},
+        "dashboard_port": {"key": "dashboardPort", "type": "int"},
+        "head_node_additional_args": {"key": "headNodeAdditionalArgs", "type": "str"},
+        "include_dashboard": {"key": "includeDashboard", "type": "bool"},
+        "port": {"key": "port", "type": "int"},
+        "worker_node_additional_args": {"key": "workerNodeAdditionalArgs", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword address: The address of Ray head node.
         :paramtype address: str
@@ -27945,13 +26396,13 @@ def __init__(
         :paramtype worker_node_additional_args: str
         """
         super(Ray, self).__init__(**kwargs)
-        self.distribution_type = 'Ray'  # type: str
-        self.address = kwargs.get('address', None)
-        self.dashboard_port = kwargs.get('dashboard_port', None)
-        self.head_node_additional_args = kwargs.get('head_node_additional_args', None)
-        self.include_dashboard = kwargs.get('include_dashboard', None)
-        self.port = kwargs.get('port', None)
-        self.worker_node_additional_args = kwargs.get('worker_node_additional_args', None)
+        self.distribution_type = "Ray"  # type: str
+        self.address = kwargs.get("address", None)
+        self.dashboard_port = kwargs.get("dashboard_port", None)
+        self.head_node_additional_args = kwargs.get("head_node_additional_args", None)
+        self.include_dashboard = kwargs.get("include_dashboard", None)
+        self.port = kwargs.get("port", None)
+        self.worker_node_additional_args = kwargs.get("worker_node_additional_args", None)
 
 
 class Recurrence(msrest.serialization.Model):
@@ -27974,17 +26425,14 @@ class Recurrence(msrest.serialization.Model):
     """
 
     _attribute_map = {
-        'frequency': {'key': 'frequency', 'type': 'str'},
-        'interval': {'key': 'interval', 'type': 'int'},
-        'start_time': {'key': 'startTime', 'type': 'str'},
-        'time_zone': {'key': 'timeZone', 'type': 'str'},
-        'schedule': {'key': 'schedule', 'type': 'ComputeRecurrenceSchedule'},
+        "frequency": {"key": "frequency", "type": "str"},
+        "interval": {"key": "interval", "type": "int"},
+        "start_time": {"key": "startTime", "type": "str"},
+        "time_zone": {"key": "timeZone", "type": "str"},
+        "schedule": {"key": "schedule", "type": "ComputeRecurrenceSchedule"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword frequency: [Required] The frequency to trigger schedule. Possible values include:
          "Minute", "Hour", "Day", "Week", "Month".
@@ -28002,11 +26450,11 @@ def __init__(
         :paramtype schedule: ~azure.mgmt.machinelearningservices.models.ComputeRecurrenceSchedule
         """
         super(Recurrence, self).__init__(**kwargs)
-        self.frequency = kwargs.get('frequency', None)
-        self.interval = kwargs.get('interval', None)
-        self.start_time = kwargs.get('start_time', None)
-        self.time_zone = kwargs.get('time_zone', "UTC")
-        self.schedule = kwargs.get('schedule', None)
+        self.frequency = kwargs.get("frequency", None)
+        self.interval = kwargs.get("interval", None)
+        self.start_time = kwargs.get("start_time", None)
+        self.time_zone = kwargs.get("time_zone", "UTC")
+        self.schedule = kwargs.get("schedule", None)
 
 
 class RecurrenceSchedule(msrest.serialization.Model):
@@ -28025,21 +26473,18 @@ class RecurrenceSchedule(msrest.serialization.Model):
     """
 
     _validation = {
-        'hours': {'required': True},
-        'minutes': {'required': True},
+        "hours": {"required": True},
+        "minutes": {"required": True},
     }
 
     _attribute_map = {
-        'hours': {'key': 'hours', 'type': '[int]'},
-        'minutes': {'key': 'minutes', 'type': '[int]'},
-        'month_days': {'key': 'monthDays', 'type': '[int]'},
-        'week_days': {'key': 'weekDays', 'type': '[str]'},
+        "hours": {"key": "hours", "type": "[int]"},
+        "minutes": {"key": "minutes", "type": "[int]"},
+        "month_days": {"key": "monthDays", "type": "[int]"},
+        "week_days": {"key": "weekDays", "type": "[str]"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword hours: Required. [Required] List of hours for the schedule.
         :paramtype hours: list[int]
@@ -28051,10 +26496,10 @@ def __init__(
         :paramtype week_days: list[str or ~azure.mgmt.machinelearningservices.models.WeekDay]
         """
         super(RecurrenceSchedule, self).__init__(**kwargs)
-        self.hours = kwargs['hours']
-        self.minutes = kwargs['minutes']
-        self.month_days = kwargs.get('month_days', None)
-        self.week_days = kwargs.get('week_days', None)
+        self.hours = kwargs["hours"]
+        self.minutes = kwargs["minutes"]
+        self.month_days = kwargs.get("month_days", None)
+        self.week_days = kwargs.get("week_days", None)
 
 
 class RecurrenceTrigger(TriggerBase):
@@ -28087,25 +26532,22 @@ class RecurrenceTrigger(TriggerBase):
     """
 
     _validation = {
-        'trigger_type': {'required': True},
-        'frequency': {'required': True},
-        'interval': {'required': True},
+        "trigger_type": {"required": True},
+        "frequency": {"required": True},
+        "interval": {"required": True},
     }
 
     _attribute_map = {
-        'end_time': {'key': 'endTime', 'type': 'str'},
-        'start_time': {'key': 'startTime', 'type': 'str'},
-        'time_zone': {'key': 'timeZone', 'type': 'str'},
-        'trigger_type': {'key': 'triggerType', 'type': 'str'},
-        'frequency': {'key': 'frequency', 'type': 'str'},
-        'interval': {'key': 'interval', 'type': 'int'},
-        'schedule': {'key': 'schedule', 'type': 'RecurrenceSchedule'},
+        "end_time": {"key": "endTime", "type": "str"},
+        "start_time": {"key": "startTime", "type": "str"},
+        "time_zone": {"key": "timeZone", "type": "str"},
+        "trigger_type": {"key": "triggerType", "type": "str"},
+        "frequency": {"key": "frequency", "type": "str"},
+        "interval": {"key": "interval", "type": "int"},
+        "schedule": {"key": "schedule", "type": "RecurrenceSchedule"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword end_time: Specifies end time of schedule in ISO 8601, but without a UTC offset. Refer
          https://en.wikipedia.org/wiki/ISO_8601.
@@ -28129,10 +26571,10 @@ def __init__(
         :paramtype schedule: ~azure.mgmt.machinelearningservices.models.RecurrenceSchedule
         """
         super(RecurrenceTrigger, self).__init__(**kwargs)
-        self.trigger_type = 'Recurrence'  # type: str
-        self.frequency = kwargs['frequency']
-        self.interval = kwargs['interval']
-        self.schedule = kwargs.get('schedule', None)
+        self.trigger_type = "Recurrence"  # type: str
+        self.frequency = kwargs["frequency"]
+        self.interval = kwargs["interval"]
+        self.schedule = kwargs.get("schedule", None)
 
 
 class RegenerateEndpointKeysRequest(msrest.serialization.Model):
@@ -28148,18 +26590,15 @@ class RegenerateEndpointKeysRequest(msrest.serialization.Model):
     """
 
     _validation = {
-        'key_type': {'required': True},
+        "key_type": {"required": True},
     }
 
     _attribute_map = {
-        'key_type': {'key': 'keyType', 'type': 'str'},
-        'key_value': {'key': 'keyValue', 'type': 'str'},
+        "key_type": {"key": "keyType", "type": "str"},
+        "key_value": {"key": "keyValue", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword key_type: Required. [Required] Specification for which type of key to generate.
          Primary or Secondary. Possible values include: "Primary", "Secondary".
@@ -28168,8 +26607,8 @@ def __init__(
         :paramtype key_value: str
         """
         super(RegenerateEndpointKeysRequest, self).__init__(**kwargs)
-        self.key_type = kwargs['key_type']
-        self.key_value = kwargs.get('key_value', None)
+        self.key_type = kwargs["key_type"]
+        self.key_value = kwargs.get("key_value", None)
 
 
 class RegenerateServiceAccountKeyContent(msrest.serialization.Model):
@@ -28180,19 +26619,16 @@ class RegenerateServiceAccountKeyContent(msrest.serialization.Model):
     """
 
     _attribute_map = {
-        'key_name': {'key': 'keyName', 'type': 'str'},
+        "key_name": {"key": "keyName", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword key_name: Possible values include: "Key1", "Key2".
         :paramtype key_name: str or ~azure.mgmt.machinelearningservices.models.ServiceAccountKeyName
         """
         super(RegenerateServiceAccountKeyContent, self).__init__(**kwargs)
-        self.key_name = kwargs.get('key_name', None)
+        self.key_name = kwargs.get("key_name", None)
 
 
 class Registry(TrackedResource):
@@ -28249,39 +26685,40 @@ class Registry(TrackedResource):
     """
 
     _validation = {
-        'id': {'readonly': True},
-        'name': {'readonly': True},
-        'type': {'readonly': True},
-        'system_data': {'readonly': True},
-        'location': {'required': True},
+        "id": {"readonly": True},
+        "name": {"readonly": True},
+        "type": {"readonly": True},
+        "system_data": {"readonly": True},
+        "location": {"required": True},
     }
 
     _attribute_map = {
-        'id': {'key': 'id', 'type': 'str'},
-        'name': {'key': 'name', 'type': 'str'},
-        'type': {'key': 'type', 'type': 'str'},
-        'system_data': {'key': 'systemData', 'type': 'SystemData'},
-        'tags': {'key': 'tags', 'type': '{str}'},
-        'location': {'key': 'location', 'type': 'str'},
-        'identity': {'key': 'identity', 'type': 'ManagedServiceIdentity'},
-        'kind': {'key': 'kind', 'type': 'str'},
-        'sku': {'key': 'sku', 'type': 'Sku'},
-        'discovery_url': {'key': 'properties.discoveryUrl', 'type': 'str'},
-        'intellectual_property_publisher': {'key': 'properties.intellectualPropertyPublisher', 'type': 'str'},
-        'managed_resource_group': {'key': 'properties.managedResourceGroup', 'type': 'ArmResourceId'},
-        'managed_resource_group_settings': {'key': 'properties.managedResourceGroupSettings',
-                                            'type': 'ManagedResourceGroupSettings'},
-        'ml_flow_registry_uri': {'key': 'properties.mlFlowRegistryUri', 'type': 'str'},
-        'registry_private_endpoint_connections': {'key': 'properties.registryPrivateEndpointConnections',
-                                                  'type': '[RegistryPrivateEndpointConnection]'},
-        'public_network_access': {'key': 'properties.publicNetworkAccess', 'type': 'str'},
-        'region_details': {'key': 'properties.regionDetails', 'type': '[RegistryRegionArmDetails]'},
+        "id": {"key": "id", "type": "str"},
+        "name": {"key": "name", "type": "str"},
+        "type": {"key": "type", "type": "str"},
+        "system_data": {"key": "systemData", "type": "SystemData"},
+        "tags": {"key": "tags", "type": "{str}"},
+        "location": {"key": "location", "type": "str"},
+        "identity": {"key": "identity", "type": "ManagedServiceIdentity"},
+        "kind": {"key": "kind", "type": "str"},
+        "sku": {"key": "sku", "type": "Sku"},
+        "discovery_url": {"key": "properties.discoveryUrl", "type": "str"},
+        "intellectual_property_publisher": {"key": "properties.intellectualPropertyPublisher", "type": "str"},
+        "managed_resource_group": {"key": "properties.managedResourceGroup", "type": "ArmResourceId"},
+        "managed_resource_group_settings": {
+            "key": "properties.managedResourceGroupSettings",
+            "type": "ManagedResourceGroupSettings",
+        },
+        "ml_flow_registry_uri": {"key": "properties.mlFlowRegistryUri", "type": "str"},
+        "registry_private_endpoint_connections": {
+            "key": "properties.registryPrivateEndpointConnections",
+            "type": "[RegistryPrivateEndpointConnection]",
+        },
+        "public_network_access": {"key": "properties.publicNetworkAccess", "type": "str"},
+        "region_details": {"key": "properties.regionDetails", "type": "[RegistryRegionArmDetails]"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword tags: A set of tags. Resource tags.
         :paramtype tags: dict[str, str]
@@ -28318,17 +26755,17 @@ def __init__(
          list[~azure.mgmt.machinelearningservices.models.RegistryRegionArmDetails]
         """
         super(Registry, self).__init__(**kwargs)
-        self.identity = kwargs.get('identity', None)
-        self.kind = kwargs.get('kind', None)
-        self.sku = kwargs.get('sku', None)
-        self.discovery_url = kwargs.get('discovery_url', None)
-        self.intellectual_property_publisher = kwargs.get('intellectual_property_publisher', None)
-        self.managed_resource_group = kwargs.get('managed_resource_group', None)
-        self.managed_resource_group_settings = kwargs.get('managed_resource_group_settings', None)
-        self.ml_flow_registry_uri = kwargs.get('ml_flow_registry_uri', None)
-        self.registry_private_endpoint_connections = kwargs.get('registry_private_endpoint_connections', None)
-        self.public_network_access = kwargs.get('public_network_access', None)
-        self.region_details = kwargs.get('region_details', None)
+        self.identity = kwargs.get("identity", None)
+        self.kind = kwargs.get("kind", None)
+        self.sku = kwargs.get("sku", None)
+        self.discovery_url = kwargs.get("discovery_url", None)
+        self.intellectual_property_publisher = kwargs.get("intellectual_property_publisher", None)
+        self.managed_resource_group = kwargs.get("managed_resource_group", None)
+        self.managed_resource_group_settings = kwargs.get("managed_resource_group_settings", None)
+        self.ml_flow_registry_uri = kwargs.get("ml_flow_registry_uri", None)
+        self.registry_private_endpoint_connections = kwargs.get("registry_private_endpoint_connections", None)
+        self.public_network_access = kwargs.get("public_network_access", None)
+        self.region_details = kwargs.get("region_details", None)
 
 
 class RegistryListCredentialsResult(msrest.serialization.Model):
@@ -28345,27 +26782,24 @@ class RegistryListCredentialsResult(msrest.serialization.Model):
     """
 
     _validation = {
-        'location': {'readonly': True},
-        'username': {'readonly': True},
+        "location": {"readonly": True},
+        "username": {"readonly": True},
     }
 
     _attribute_map = {
-        'location': {'key': 'location', 'type': 'str'},
-        'passwords': {'key': 'passwords', 'type': '[Password]'},
-        'username': {'key': 'username', 'type': 'str'},
+        "location": {"key": "location", "type": "str"},
+        "passwords": {"key": "passwords", "type": "[Password]"},
+        "username": {"key": "username", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword passwords:
         :paramtype passwords: list[~azure.mgmt.machinelearningservices.models.Password]
         """
         super(RegistryListCredentialsResult, self).__init__(**kwargs)
         self.location = None
-        self.passwords = kwargs.get('passwords', None)
+        self.passwords = kwargs.get("passwords", None)
         self.username = None
 
 
@@ -28395,22 +26829,19 @@ class RegistryPartialManagedServiceIdentity(ManagedServiceIdentity):
     """
 
     _validation = {
-        'principal_id': {'readonly': True},
-        'tenant_id': {'readonly': True},
-        'type': {'required': True},
+        "principal_id": {"readonly": True},
+        "tenant_id": {"readonly": True},
+        "type": {"required": True},
     }
 
     _attribute_map = {
-        'principal_id': {'key': 'principalId', 'type': 'str'},
-        'tenant_id': {'key': 'tenantId', 'type': 'str'},
-        'type': {'key': 'type', 'type': 'str'},
-        'user_assigned_identities': {'key': 'userAssignedIdentities', 'type': '{UserAssignedIdentity}'},
+        "principal_id": {"key": "principalId", "type": "str"},
+        "tenant_id": {"key": "tenantId", "type": "str"},
+        "type": {"key": "type", "type": "str"},
+        "user_assigned_identities": {"key": "userAssignedIdentities", "type": "{UserAssignedIdentity}"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword type: Required. Type of managed service identity (where both SystemAssigned and
          UserAssigned types are allowed). Possible values include: "None", "SystemAssigned",
@@ -28448,20 +26879,18 @@ class RegistryPrivateEndpointConnection(msrest.serialization.Model):
     """
 
     _attribute_map = {
-        'id': {'key': 'id', 'type': 'str'},
-        'location': {'key': 'location', 'type': 'str'},
-        'group_ids': {'key': 'properties.groupIds', 'type': '[str]'},
-        'private_endpoint': {'key': 'properties.privateEndpoint', 'type': 'PrivateEndpointResource'},
-        'registry_private_link_service_connection_state': {
-            'key': 'properties.registryPrivateLinkServiceConnectionState',
-            'type': 'RegistryPrivateLinkServiceConnectionState'},
-        'provisioning_state': {'key': 'properties.provisioningState', 'type': 'str'},
+        "id": {"key": "id", "type": "str"},
+        "location": {"key": "location", "type": "str"},
+        "group_ids": {"key": "properties.groupIds", "type": "[str]"},
+        "private_endpoint": {"key": "properties.privateEndpoint", "type": "PrivateEndpointResource"},
+        "registry_private_link_service_connection_state": {
+            "key": "properties.registryPrivateLinkServiceConnectionState",
+            "type": "RegistryPrivateLinkServiceConnectionState",
+        },
+        "provisioning_state": {"key": "properties.provisioningState", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword id: This is the private endpoint connection name created on SRP
          Full resource id:
@@ -28481,13 +26910,14 @@ def __init__(
         :paramtype provisioning_state: str
         """
         super(RegistryPrivateEndpointConnection, self).__init__(**kwargs)
-        self.id = kwargs.get('id', None)
-        self.location = kwargs.get('location', None)
-        self.group_ids = kwargs.get('group_ids', None)
-        self.private_endpoint = kwargs.get('private_endpoint', None)
+        self.id = kwargs.get("id", None)
+        self.location = kwargs.get("location", None)
+        self.group_ids = kwargs.get("group_ids", None)
+        self.private_endpoint = kwargs.get("private_endpoint", None)
         self.registry_private_link_service_connection_state = kwargs.get(
-            'registry_private_link_service_connection_state', None)
-        self.provisioning_state = kwargs.get('provisioning_state', None)
+            "registry_private_link_service_connection_state", None
+        )
+        self.provisioning_state = kwargs.get("provisioning_state", None)
 
 
 class RegistryPrivateLinkServiceConnectionState(msrest.serialization.Model):
@@ -28505,15 +26935,12 @@ class RegistryPrivateLinkServiceConnectionState(msrest.serialization.Model):
     """
 
     _attribute_map = {
-        'actions_required': {'key': 'actionsRequired', 'type': 'str'},
-        'description': {'key': 'description', 'type': 'str'},
-        'status': {'key': 'status', 'type': 'str'},
+        "actions_required": {"key": "actionsRequired", "type": "str"},
+        "description": {"key": "description", "type": "str"},
+        "status": {"key": "status", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword actions_required: Some RP chose "None". Other RPs use this for region expansion.
         :paramtype actions_required: str
@@ -28526,9 +26953,9 @@ def __init__(
          ~azure.mgmt.machinelearningservices.models.EndpointServiceConnectionStatus
         """
         super(RegistryPrivateLinkServiceConnectionState, self).__init__(**kwargs)
-        self.actions_required = kwargs.get('actions_required', None)
-        self.description = kwargs.get('description', None)
-        self.status = kwargs.get('status', None)
+        self.actions_required = kwargs.get("actions_required", None)
+        self.description = kwargs.get("description", None)
+        self.status = kwargs.get("status", None)
 
 
 class RegistryRegionArmDetails(msrest.serialization.Model):
@@ -28544,15 +26971,12 @@ class RegistryRegionArmDetails(msrest.serialization.Model):
     """
 
     _attribute_map = {
-        'acr_details': {'key': 'acrDetails', 'type': '[AcrDetails]'},
-        'location': {'key': 'location', 'type': 'str'},
-        'storage_account_details': {'key': 'storageAccountDetails', 'type': '[StorageAccountDetails]'},
+        "acr_details": {"key": "acrDetails", "type": "[AcrDetails]"},
+        "location": {"key": "location", "type": "str"},
+        "storage_account_details": {"key": "storageAccountDetails", "type": "[StorageAccountDetails]"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword acr_details: List of ACR accounts.
         :paramtype acr_details: list[~azure.mgmt.machinelearningservices.models.AcrDetails]
@@ -28563,9 +26987,9 @@ def __init__(
          list[~azure.mgmt.machinelearningservices.models.StorageAccountDetails]
         """
         super(RegistryRegionArmDetails, self).__init__(**kwargs)
-        self.acr_details = kwargs.get('acr_details', None)
-        self.location = kwargs.get('location', None)
-        self.storage_account_details = kwargs.get('storage_account_details', None)
+        self.acr_details = kwargs.get("acr_details", None)
+        self.location = kwargs.get("location", None)
+        self.storage_account_details = kwargs.get("storage_account_details", None)
 
 
 class RegistryTrackedResourceArmPaginatedResult(msrest.serialization.Model):
@@ -28579,14 +27003,11 @@ class RegistryTrackedResourceArmPaginatedResult(msrest.serialization.Model):
     """
 
     _attribute_map = {
-        'next_link': {'key': 'nextLink', 'type': 'str'},
-        'value': {'key': 'value', 'type': '[Registry]'},
+        "next_link": {"key": "nextLink", "type": "str"},
+        "value": {"key": "value", "type": "[Registry]"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword next_link: The link to the next page of Registry objects. If null, there are no
          additional pages.
@@ -28595,8 +27016,8 @@ def __init__(
         :paramtype value: list[~azure.mgmt.machinelearningservices.models.Registry]
         """
         super(RegistryTrackedResourceArmPaginatedResult, self).__init__(**kwargs)
-        self.next_link = kwargs.get('next_link', None)
-        self.value = kwargs.get('value', None)
+        self.next_link = kwargs.get("next_link", None)
+        self.value = kwargs.get("value", None)
 
 
 class Regression(AutoMLVertical, TableVertical):
@@ -28663,35 +27084,32 @@ class Regression(AutoMLVertical, TableVertical):
     """
 
     _validation = {
-        'task_type': {'required': True},
-        'training_data': {'required': True},
+        "task_type": {"required": True},
+        "training_data": {"required": True},
     }
 
     _attribute_map = {
-        'cv_split_column_names': {'key': 'cvSplitColumnNames', 'type': '[str]'},
-        'featurization_settings': {'key': 'featurizationSettings', 'type': 'TableVerticalFeaturizationSettings'},
-        'fixed_parameters': {'key': 'fixedParameters', 'type': 'TableFixedParameters'},
-        'limit_settings': {'key': 'limitSettings', 'type': 'TableVerticalLimitSettings'},
-        'n_cross_validations': {'key': 'nCrossValidations', 'type': 'NCrossValidations'},
-        'search_space': {'key': 'searchSpace', 'type': '[TableParameterSubspace]'},
-        'sweep_settings': {'key': 'sweepSettings', 'type': 'TableSweepSettings'},
-        'test_data': {'key': 'testData', 'type': 'MLTableJobInput'},
-        'test_data_size': {'key': 'testDataSize', 'type': 'float'},
-        'validation_data': {'key': 'validationData', 'type': 'MLTableJobInput'},
-        'validation_data_size': {'key': 'validationDataSize', 'type': 'float'},
-        'weight_column_name': {'key': 'weightColumnName', 'type': 'str'},
-        'log_verbosity': {'key': 'logVerbosity', 'type': 'str'},
-        'target_column_name': {'key': 'targetColumnName', 'type': 'str'},
-        'task_type': {'key': 'taskType', 'type': 'str'},
-        'training_data': {'key': 'trainingData', 'type': 'MLTableJobInput'},
-        'primary_metric': {'key': 'primaryMetric', 'type': 'str'},
-        'training_settings': {'key': 'trainingSettings', 'type': 'RegressionTrainingSettings'},
+        "cv_split_column_names": {"key": "cvSplitColumnNames", "type": "[str]"},
+        "featurization_settings": {"key": "featurizationSettings", "type": "TableVerticalFeaturizationSettings"},
+        "fixed_parameters": {"key": "fixedParameters", "type": "TableFixedParameters"},
+        "limit_settings": {"key": "limitSettings", "type": "TableVerticalLimitSettings"},
+        "n_cross_validations": {"key": "nCrossValidations", "type": "NCrossValidations"},
+        "search_space": {"key": "searchSpace", "type": "[TableParameterSubspace]"},
+        "sweep_settings": {"key": "sweepSettings", "type": "TableSweepSettings"},
+        "test_data": {"key": "testData", "type": "MLTableJobInput"},
+        "test_data_size": {"key": "testDataSize", "type": "float"},
+        "validation_data": {"key": "validationData", "type": "MLTableJobInput"},
+        "validation_data_size": {"key": "validationDataSize", "type": "float"},
+        "weight_column_name": {"key": "weightColumnName", "type": "str"},
+        "log_verbosity": {"key": "logVerbosity", "type": "str"},
+        "target_column_name": {"key": "targetColumnName", "type": "str"},
+        "task_type": {"key": "taskType", "type": "str"},
+        "training_data": {"key": "trainingData", "type": "MLTableJobInput"},
+        "primary_metric": {"key": "primaryMetric", "type": "str"},
+        "training_settings": {"key": "trainingSettings", "type": "RegressionTrainingSettings"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword cv_split_column_names: Columns to use for CVSplit data.
         :paramtype cv_split_column_names: list[str]
@@ -28749,24 +27167,24 @@ def __init__(
          ~azure.mgmt.machinelearningservices.models.RegressionTrainingSettings
         """
         super(Regression, self).__init__(**kwargs)
-        self.cv_split_column_names = kwargs.get('cv_split_column_names', None)
-        self.featurization_settings = kwargs.get('featurization_settings', None)
-        self.fixed_parameters = kwargs.get('fixed_parameters', None)
-        self.limit_settings = kwargs.get('limit_settings', None)
-        self.n_cross_validations = kwargs.get('n_cross_validations', None)
-        self.search_space = kwargs.get('search_space', None)
-        self.sweep_settings = kwargs.get('sweep_settings', None)
-        self.test_data = kwargs.get('test_data', None)
-        self.test_data_size = kwargs.get('test_data_size', None)
-        self.validation_data = kwargs.get('validation_data', None)
-        self.validation_data_size = kwargs.get('validation_data_size', None)
-        self.weight_column_name = kwargs.get('weight_column_name', None)
-        self.task_type = 'Regression'  # type: str
-        self.primary_metric = kwargs.get('primary_metric', None)
-        self.training_settings = kwargs.get('training_settings', None)
-        self.log_verbosity = kwargs.get('log_verbosity', None)
-        self.target_column_name = kwargs.get('target_column_name', None)
-        self.training_data = kwargs['training_data']
+        self.cv_split_column_names = kwargs.get("cv_split_column_names", None)
+        self.featurization_settings = kwargs.get("featurization_settings", None)
+        self.fixed_parameters = kwargs.get("fixed_parameters", None)
+        self.limit_settings = kwargs.get("limit_settings", None)
+        self.n_cross_validations = kwargs.get("n_cross_validations", None)
+        self.search_space = kwargs.get("search_space", None)
+        self.sweep_settings = kwargs.get("sweep_settings", None)
+        self.test_data = kwargs.get("test_data", None)
+        self.test_data_size = kwargs.get("test_data_size", None)
+        self.validation_data = kwargs.get("validation_data", None)
+        self.validation_data_size = kwargs.get("validation_data_size", None)
+        self.weight_column_name = kwargs.get("weight_column_name", None)
+        self.task_type = "Regression"  # type: str
+        self.primary_metric = kwargs.get("primary_metric", None)
+        self.training_settings = kwargs.get("training_settings", None)
+        self.log_verbosity = kwargs.get("log_verbosity", None)
+        self.target_column_name = kwargs.get("target_column_name", None)
+        self.training_data = kwargs["training_data"]
 
 
 class RegressionModelPerformanceMetricThreshold(ModelPerformanceMetricThresholdBase):
@@ -28787,20 +27205,17 @@ class RegressionModelPerformanceMetricThreshold(ModelPerformanceMetricThresholdB
     """
 
     _validation = {
-        'model_type': {'required': True},
-        'metric': {'required': True},
+        "model_type": {"required": True},
+        "metric": {"required": True},
     }
 
     _attribute_map = {
-        'model_type': {'key': 'modelType', 'type': 'str'},
-        'threshold': {'key': 'threshold', 'type': 'MonitoringThreshold'},
-        'metric': {'key': 'metric', 'type': 'str'},
+        "model_type": {"key": "modelType", "type": "str"},
+        "threshold": {"key": "threshold", "type": "MonitoringThreshold"},
+        "metric": {"key": "metric", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword threshold: The threshold value. If null, a default value will be set depending on the
          selected metric.
@@ -28811,8 +27226,8 @@ def __init__(
          ~azure.mgmt.machinelearningservices.models.RegressionModelPerformanceMetric
         """
         super(RegressionModelPerformanceMetricThreshold, self).__init__(**kwargs)
-        self.model_type = 'Regression'  # type: str
-        self.metric = kwargs['metric']
+        self.model_type = "Regression"  # type: str
+        self.metric = kwargs["metric"]
 
 
 class RegressionTrainingSettings(TrainingSettings):
@@ -28852,22 +27267,19 @@ class RegressionTrainingSettings(TrainingSettings):
     """
 
     _attribute_map = {
-        'enable_dnn_training': {'key': 'enableDnnTraining', 'type': 'bool'},
-        'enable_model_explainability': {'key': 'enableModelExplainability', 'type': 'bool'},
-        'enable_onnx_compatible_models': {'key': 'enableOnnxCompatibleModels', 'type': 'bool'},
-        'enable_stack_ensemble': {'key': 'enableStackEnsemble', 'type': 'bool'},
-        'enable_vote_ensemble': {'key': 'enableVoteEnsemble', 'type': 'bool'},
-        'ensemble_model_download_timeout': {'key': 'ensembleModelDownloadTimeout', 'type': 'duration'},
-        'stack_ensemble_settings': {'key': 'stackEnsembleSettings', 'type': 'StackEnsembleSettings'},
-        'training_mode': {'key': 'trainingMode', 'type': 'str'},
-        'allowed_training_algorithms': {'key': 'allowedTrainingAlgorithms', 'type': '[str]'},
-        'blocked_training_algorithms': {'key': 'blockedTrainingAlgorithms', 'type': '[str]'},
+        "enable_dnn_training": {"key": "enableDnnTraining", "type": "bool"},
+        "enable_model_explainability": {"key": "enableModelExplainability", "type": "bool"},
+        "enable_onnx_compatible_models": {"key": "enableOnnxCompatibleModels", "type": "bool"},
+        "enable_stack_ensemble": {"key": "enableStackEnsemble", "type": "bool"},
+        "enable_vote_ensemble": {"key": "enableVoteEnsemble", "type": "bool"},
+        "ensemble_model_download_timeout": {"key": "ensembleModelDownloadTimeout", "type": "duration"},
+        "stack_ensemble_settings": {"key": "stackEnsembleSettings", "type": "StackEnsembleSettings"},
+        "training_mode": {"key": "trainingMode", "type": "str"},
+        "allowed_training_algorithms": {"key": "allowedTrainingAlgorithms", "type": "[str]"},
+        "blocked_training_algorithms": {"key": "blockedTrainingAlgorithms", "type": "[str]"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword enable_dnn_training: Enable recommendation of DNN models.
         :paramtype enable_dnn_training: bool
@@ -28902,8 +27314,8 @@ def __init__(
          ~azure.mgmt.machinelearningservices.models.RegressionModels]
         """
         super(RegressionTrainingSettings, self).__init__(**kwargs)
-        self.allowed_training_algorithms = kwargs.get('allowed_training_algorithms', None)
-        self.blocked_training_algorithms = kwargs.get('blocked_training_algorithms', None)
+        self.allowed_training_algorithms = kwargs.get("allowed_training_algorithms", None)
+        self.blocked_training_algorithms = kwargs.get("blocked_training_algorithms", None)
 
 
 class RequestConfiguration(msrest.serialization.Model):
@@ -28918,14 +27330,11 @@ class RequestConfiguration(msrest.serialization.Model):
     """
 
     _attribute_map = {
-        'max_concurrent_requests_per_instance': {'key': 'maxConcurrentRequestsPerInstance', 'type': 'int'},
-        'request_timeout': {'key': 'requestTimeout', 'type': 'duration'},
+        "max_concurrent_requests_per_instance": {"key": "maxConcurrentRequestsPerInstance", "type": "int"},
+        "request_timeout": {"key": "requestTimeout", "type": "duration"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword max_concurrent_requests_per_instance: The number of maximum concurrent requests per
          node allowed per deployment. Defaults to 1.
@@ -28935,8 +27344,8 @@ def __init__(
         :paramtype request_timeout: ~datetime.timedelta
         """
         super(RequestConfiguration, self).__init__(**kwargs)
-        self.max_concurrent_requests_per_instance = kwargs.get('max_concurrent_requests_per_instance', 1)
-        self.request_timeout = kwargs.get('request_timeout', "PT5S")
+        self.max_concurrent_requests_per_instance = kwargs.get("max_concurrent_requests_per_instance", 1)
+        self.request_timeout = kwargs.get("request_timeout", "PT5S")
 
 
 class RequestLogging(msrest.serialization.Model):
@@ -28949,13 +27358,10 @@ class RequestLogging(msrest.serialization.Model):
     """
 
     _attribute_map = {
-        'capture_headers': {'key': 'captureHeaders', 'type': '[str]'},
+        "capture_headers": {"key": "captureHeaders", "type": "[str]"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword capture_headers: For payload logging, we only collect payload by default. If customers
          also want to collect the specified headers, they can set them in captureHeaders so that backend
@@ -28963,7 +27369,7 @@ def __init__(
         :paramtype capture_headers: list[str]
         """
         super(RequestLogging, self).__init__(**kwargs)
-        self.capture_headers = kwargs.get('capture_headers', None)
+        self.capture_headers = kwargs.get("capture_headers", None)
 
 
 class RequestMatchPattern(msrest.serialization.Model):
@@ -28976,14 +27382,11 @@ class RequestMatchPattern(msrest.serialization.Model):
     """
 
     _attribute_map = {
-        'path': {'key': 'path', 'type': 'str'},
-        'method': {'key': 'method', 'type': 'str'},
+        "path": {"key": "path", "type": "str"},
+        "method": {"key": "method", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword path:
         :paramtype path: str
@@ -28991,8 +27394,8 @@ def __init__(
         :paramtype method: str
         """
         super(RequestMatchPattern, self).__init__(**kwargs)
-        self.path = kwargs.get('path', None)
-        self.method = kwargs.get('method', None)
+        self.path = kwargs.get("path", None)
+        self.method = kwargs.get("method", None)
 
 
 class ResizeSchema(msrest.serialization.Model):
@@ -29003,19 +27406,16 @@ class ResizeSchema(msrest.serialization.Model):
     """
 
     _attribute_map = {
-        'target_vm_size': {'key': 'targetVMSize', 'type': 'str'},
+        "target_vm_size": {"key": "targetVMSize", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword target_vm_size: The name of the virtual machine size.
         :paramtype target_vm_size: str
         """
         super(ResizeSchema, self).__init__(**kwargs)
-        self.target_vm_size = kwargs.get('target_vm_size', None)
+        self.target_vm_size = kwargs.get("target_vm_size", None)
 
 
 class ResourceId(msrest.serialization.Model):
@@ -29028,23 +27428,20 @@ class ResourceId(msrest.serialization.Model):
     """
 
     _validation = {
-        'id': {'required': True},
+        "id": {"required": True},
     }
 
     _attribute_map = {
-        'id': {'key': 'id', 'type': 'str'},
+        "id": {"key": "id", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword id: Required. The ID of the resource.
         :paramtype id: str
         """
         super(ResourceId, self).__init__(**kwargs)
-        self.id = kwargs['id']
+        self.id = kwargs["id"]
 
 
 class ResourceName(msrest.serialization.Model):
@@ -29059,21 +27456,17 @@ class ResourceName(msrest.serialization.Model):
     """
 
     _validation = {
-        'value': {'readonly': True},
-        'localized_value': {'readonly': True},
+        "value": {"readonly": True},
+        "localized_value": {"readonly": True},
     }
 
     _attribute_map = {
-        'value': {'key': 'value', 'type': 'str'},
-        'localized_value': {'key': 'localizedValue', 'type': 'str'},
+        "value": {"key": "value", "type": "str"},
+        "localized_value": {"key": "localizedValue", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
-        """
-        """
+    def __init__(self, **kwargs):
+        """ """
         super(ResourceName, self).__init__(**kwargs)
         self.value = None
         self.localized_value = None
@@ -29099,29 +27492,25 @@ class ResourceQuota(msrest.serialization.Model):
     """
 
     _validation = {
-        'id': {'readonly': True},
-        'aml_workspace_location': {'readonly': True},
-        'type': {'readonly': True},
-        'name': {'readonly': True},
-        'limit': {'readonly': True},
-        'unit': {'readonly': True},
+        "id": {"readonly": True},
+        "aml_workspace_location": {"readonly": True},
+        "type": {"readonly": True},
+        "name": {"readonly": True},
+        "limit": {"readonly": True},
+        "unit": {"readonly": True},
     }
 
     _attribute_map = {
-        'id': {'key': 'id', 'type': 'str'},
-        'aml_workspace_location': {'key': 'amlWorkspaceLocation', 'type': 'str'},
-        'type': {'key': 'type', 'type': 'str'},
-        'name': {'key': 'name', 'type': 'ResourceName'},
-        'limit': {'key': 'limit', 'type': 'long'},
-        'unit': {'key': 'unit', 'type': 'str'},
+        "id": {"key": "id", "type": "str"},
+        "aml_workspace_location": {"key": "amlWorkspaceLocation", "type": "str"},
+        "type": {"key": "type", "type": "str"},
+        "name": {"key": "name", "type": "ResourceName"},
+        "limit": {"key": "limit", "type": "long"},
+        "unit": {"key": "unit", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
-        """
-        """
+    def __init__(self, **kwargs):
+        """ """
         super(ResourceQuota, self).__init__(**kwargs)
         self.id = None
         self.aml_workspace_location = None
@@ -29160,28 +27549,25 @@ class RollingInputData(MonitoringInputDataBase):
     """
 
     _validation = {
-        'input_data_type': {'required': True},
-        'job_input_type': {'required': True},
-        'uri': {'required': True, 'min_length': 1, 'pattern': r'[a-zA-Z0-9_]'},
-        'window_offset': {'required': True},
-        'window_size': {'required': True},
+        "input_data_type": {"required": True},
+        "job_input_type": {"required": True},
+        "uri": {"required": True, "min_length": 1, "pattern": r"[a-zA-Z0-9_]"},
+        "window_offset": {"required": True},
+        "window_size": {"required": True},
     }
 
     _attribute_map = {
-        'columns': {'key': 'columns', 'type': '{str}'},
-        'data_context': {'key': 'dataContext', 'type': 'str'},
-        'input_data_type': {'key': 'inputDataType', 'type': 'str'},
-        'job_input_type': {'key': 'jobInputType', 'type': 'str'},
-        'uri': {'key': 'uri', 'type': 'str'},
-        'preprocessing_component_id': {'key': 'preprocessingComponentId', 'type': 'str'},
-        'window_offset': {'key': 'windowOffset', 'type': 'duration'},
-        'window_size': {'key': 'windowSize', 'type': 'duration'},
+        "columns": {"key": "columns", "type": "{str}"},
+        "data_context": {"key": "dataContext", "type": "str"},
+        "input_data_type": {"key": "inputDataType", "type": "str"},
+        "job_input_type": {"key": "jobInputType", "type": "str"},
+        "uri": {"key": "uri", "type": "str"},
+        "preprocessing_component_id": {"key": "preprocessingComponentId", "type": "str"},
+        "window_offset": {"key": "windowOffset", "type": "duration"},
+        "window_size": {"key": "windowSize", "type": "duration"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword columns: Mapping of column names to special uses.
         :paramtype columns: dict[str, str]
@@ -29203,10 +27589,10 @@ def __init__(
         :paramtype window_size: ~datetime.timedelta
         """
         super(RollingInputData, self).__init__(**kwargs)
-        self.input_data_type = 'Rolling'  # type: str
-        self.preprocessing_component_id = kwargs.get('preprocessing_component_id', None)
-        self.window_offset = kwargs['window_offset']
-        self.window_size = kwargs['window_size']
+        self.input_data_type = "Rolling"  # type: str
+        self.preprocessing_component_id = kwargs.get("preprocessing_component_id", None)
+        self.window_offset = kwargs["window_offset"]
+        self.window_size = kwargs["window_size"]
 
 
 class Route(msrest.serialization.Model):
@@ -29221,19 +27607,16 @@ class Route(msrest.serialization.Model):
     """
 
     _validation = {
-        'path': {'required': True, 'min_length': 1, 'pattern': r'[a-zA-Z0-9_]'},
-        'port': {'required': True},
+        "path": {"required": True, "min_length": 1, "pattern": r"[a-zA-Z0-9_]"},
+        "port": {"required": True},
     }
 
     _attribute_map = {
-        'path': {'key': 'path', 'type': 'str'},
-        'port': {'key': 'port', 'type': 'int'},
+        "path": {"key": "path", "type": "str"},
+        "port": {"key": "port", "type": "int"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword path: Required. [Required] The path for the route.
         :paramtype path: str
@@ -29241,8 +27624,8 @@ def __init__(
         :paramtype port: int
         """
         super(Route, self).__init__(**kwargs)
-        self.path = kwargs['path']
-        self.port = kwargs['port']
+        self.path = kwargs["path"]
+        self.port = kwargs["port"]
 
 
 class SASAuthTypeWorkspaceConnectionProperties(WorkspaceConnectionPropertiesV2):
@@ -29295,28 +27678,25 @@ class SASAuthTypeWorkspaceConnectionProperties(WorkspaceConnectionPropertiesV2):
     """
 
     _validation = {
-        'auth_type': {'required': True},
-        'created_by_workspace_arm_id': {'readonly': True},
-        'group': {'readonly': True},
+        "auth_type": {"required": True},
+        "created_by_workspace_arm_id": {"readonly": True},
+        "group": {"readonly": True},
     }
 
     _attribute_map = {
-        'auth_type': {'key': 'authType', 'type': 'str'},
-        'category': {'key': 'category', 'type': 'str'},
-        'created_by_workspace_arm_id': {'key': 'createdByWorkspaceArmId', 'type': 'str'},
-        'expiry_time': {'key': 'expiryTime', 'type': 'iso-8601'},
-        'group': {'key': 'group', 'type': 'str'},
-        'is_shared_to_all': {'key': 'isSharedToAll', 'type': 'bool'},
-        'metadata': {'key': 'metadata', 'type': 'object'},
-        'shared_user_list': {'key': 'sharedUserList', 'type': '[str]'},
-        'target': {'key': 'target', 'type': 'str'},
-        'credentials': {'key': 'credentials', 'type': 'WorkspaceConnectionSharedAccessSignature'},
+        "auth_type": {"key": "authType", "type": "str"},
+        "category": {"key": "category", "type": "str"},
+        "created_by_workspace_arm_id": {"key": "createdByWorkspaceArmId", "type": "str"},
+        "expiry_time": {"key": "expiryTime", "type": "iso-8601"},
+        "group": {"key": "group", "type": "str"},
+        "is_shared_to_all": {"key": "isSharedToAll", "type": "bool"},
+        "metadata": {"key": "metadata", "type": "object"},
+        "shared_user_list": {"key": "sharedUserList", "type": "[str]"},
+        "target": {"key": "target", "type": "str"},
+        "credentials": {"key": "credentials", "type": "WorkspaceConnectionSharedAccessSignature"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword category: Category of the connection. Possible values include: "PythonFeed",
          "ContainerRegistry", "Git", "S3", "Snowflake", "AzureSqlDb", "AzureSynapseAnalytics",
@@ -29351,8 +27731,8 @@ def __init__(
          ~azure.mgmt.machinelearningservices.models.WorkspaceConnectionSharedAccessSignature
         """
         super(SASAuthTypeWorkspaceConnectionProperties, self).__init__(**kwargs)
-        self.auth_type = 'SAS'  # type: str
-        self.credentials = kwargs.get('credentials', None)
+        self.auth_type = "SAS"  # type: str
+        self.credentials = kwargs.get("credentials", None)
 
 
 class SASCredential(DataReferenceCredential):
@@ -29370,25 +27750,22 @@ class SASCredential(DataReferenceCredential):
     """
 
     _validation = {
-        'credential_type': {'required': True},
+        "credential_type": {"required": True},
     }
 
     _attribute_map = {
-        'credential_type': {'key': 'credentialType', 'type': 'str'},
-        'sas_uri': {'key': 'sasUri', 'type': 'str'},
+        "credential_type": {"key": "credentialType", "type": "str"},
+        "sas_uri": {"key": "sasUri", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword sas_uri: Full SAS Uri, including the storage, container/blob path and SAS token.
         :paramtype sas_uri: str
         """
         super(SASCredential, self).__init__(**kwargs)
-        self.credential_type = 'SAS'  # type: str
-        self.sas_uri = kwargs.get('sas_uri', None)
+        self.credential_type = "SAS"  # type: str
+        self.sas_uri = kwargs.get("sas_uri", None)
 
 
 class SASCredentialDto(PendingUploadCredentialDto):
@@ -29405,25 +27782,22 @@ class SASCredentialDto(PendingUploadCredentialDto):
     """
 
     _validation = {
-        'credential_type': {'required': True},
+        "credential_type": {"required": True},
     }
 
     _attribute_map = {
-        'credential_type': {'key': 'credentialType', 'type': 'str'},
-        'sas_uri': {'key': 'sasUri', 'type': 'str'},
+        "credential_type": {"key": "credentialType", "type": "str"},
+        "sas_uri": {"key": "sasUri", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword sas_uri: Full SAS Uri, including the storage, container/blob path and SAS token.
         :paramtype sas_uri: str
         """
         super(SASCredentialDto, self).__init__(**kwargs)
-        self.credential_type = 'SAS'  # type: str
-        self.sas_uri = kwargs.get('sas_uri', None)
+        self.credential_type = "SAS"  # type: str
+        self.sas_uri = kwargs.get("sas_uri", None)
 
 
 class SasDatastoreCredentials(DatastoreCredentials):
@@ -29440,26 +27814,23 @@ class SasDatastoreCredentials(DatastoreCredentials):
     """
 
     _validation = {
-        'credentials_type': {'required': True},
-        'secrets': {'required': True},
+        "credentials_type": {"required": True},
+        "secrets": {"required": True},
     }
 
     _attribute_map = {
-        'credentials_type': {'key': 'credentialsType', 'type': 'str'},
-        'secrets': {'key': 'secrets', 'type': 'SasDatastoreSecrets'},
+        "credentials_type": {"key": "credentialsType", "type": "str"},
+        "secrets": {"key": "secrets", "type": "SasDatastoreSecrets"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword secrets: Required. [Required] Storage container secrets.
         :paramtype secrets: ~azure.mgmt.machinelearningservices.models.SasDatastoreSecrets
         """
         super(SasDatastoreCredentials, self).__init__(**kwargs)
-        self.credentials_type = 'Sas'  # type: str
-        self.secrets = kwargs['secrets']
+        self.credentials_type = "Sas"  # type: str
+        self.secrets = kwargs["secrets"]
 
 
 class SasDatastoreSecrets(DatastoreSecrets):
@@ -29476,25 +27847,22 @@ class SasDatastoreSecrets(DatastoreSecrets):
     """
 
     _validation = {
-        'secrets_type': {'required': True},
+        "secrets_type": {"required": True},
     }
 
     _attribute_map = {
-        'secrets_type': {'key': 'secretsType', 'type': 'str'},
-        'sas_token': {'key': 'sasToken', 'type': 'str'},
+        "secrets_type": {"key": "secretsType", "type": "str"},
+        "sas_token": {"key": "sasToken", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword sas_token: Storage container SAS token.
         :paramtype sas_token: str
         """
         super(SasDatastoreSecrets, self).__init__(**kwargs)
-        self.secrets_type = 'Sas'  # type: str
-        self.sas_token = kwargs.get('sas_token', None)
+        self.secrets_type = "Sas"  # type: str
+        self.sas_token = kwargs.get("sas_token", None)
 
 
 class ScaleSettings(msrest.serialization.Model):
@@ -29512,19 +27880,16 @@ class ScaleSettings(msrest.serialization.Model):
     """
 
     _validation = {
-        'max_node_count': {'required': True},
+        "max_node_count": {"required": True},
     }
 
     _attribute_map = {
-        'max_node_count': {'key': 'maxNodeCount', 'type': 'int'},
-        'min_node_count': {'key': 'minNodeCount', 'type': 'int'},
-        'node_idle_time_before_scale_down': {'key': 'nodeIdleTimeBeforeScaleDown', 'type': 'duration'},
+        "max_node_count": {"key": "maxNodeCount", "type": "int"},
+        "min_node_count": {"key": "minNodeCount", "type": "int"},
+        "node_idle_time_before_scale_down": {"key": "nodeIdleTimeBeforeScaleDown", "type": "duration"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword max_node_count: Required. Max number of nodes to use.
         :paramtype max_node_count: int
@@ -29535,9 +27900,9 @@ def __init__(
         :paramtype node_idle_time_before_scale_down: ~datetime.timedelta
         """
         super(ScaleSettings, self).__init__(**kwargs)
-        self.max_node_count = kwargs['max_node_count']
-        self.min_node_count = kwargs.get('min_node_count', 0)
-        self.node_idle_time_before_scale_down = kwargs.get('node_idle_time_before_scale_down', None)
+        self.max_node_count = kwargs["max_node_count"]
+        self.min_node_count = kwargs.get("min_node_count", 0)
+        self.node_idle_time_before_scale_down = kwargs.get("node_idle_time_before_scale_down", None)
 
 
 class ScaleSettingsInformation(msrest.serialization.Model):
@@ -29548,19 +27913,16 @@ class ScaleSettingsInformation(msrest.serialization.Model):
     """
 
     _attribute_map = {
-        'scale_settings': {'key': 'scaleSettings', 'type': 'ScaleSettings'},
+        "scale_settings": {"key": "scaleSettings", "type": "ScaleSettings"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword scale_settings: scale settings for AML Compute.
         :paramtype scale_settings: ~azure.mgmt.machinelearningservices.models.ScaleSettings
         """
         super(ScaleSettingsInformation, self).__init__(**kwargs)
-        self.scale_settings = kwargs.get('scale_settings', None)
+        self.scale_settings = kwargs.get("scale_settings", None)
 
 
 class Schedule(ProxyResource):
@@ -29586,31 +27948,28 @@ class Schedule(ProxyResource):
     """
 
     _validation = {
-        'id': {'readonly': True},
-        'name': {'readonly': True},
-        'type': {'readonly': True},
-        'system_data': {'readonly': True},
-        'properties': {'required': True},
+        "id": {"readonly": True},
+        "name": {"readonly": True},
+        "type": {"readonly": True},
+        "system_data": {"readonly": True},
+        "properties": {"required": True},
     }
 
     _attribute_map = {
-        'id': {'key': 'id', 'type': 'str'},
-        'name': {'key': 'name', 'type': 'str'},
-        'type': {'key': 'type', 'type': 'str'},
-        'system_data': {'key': 'systemData', 'type': 'SystemData'},
-        'properties': {'key': 'properties', 'type': 'ScheduleProperties'},
+        "id": {"key": "id", "type": "str"},
+        "name": {"key": "name", "type": "str"},
+        "type": {"key": "type", "type": "str"},
+        "system_data": {"key": "systemData", "type": "SystemData"},
+        "properties": {"key": "properties", "type": "ScheduleProperties"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword properties: Required. [Required] Additional attributes of the entity.
         :paramtype properties: ~azure.mgmt.machinelearningservices.models.ScheduleProperties
         """
         super(Schedule, self).__init__(**kwargs)
-        self.properties = kwargs['properties']
+        self.properties = kwargs["properties"]
 
 
 class ScheduleBase(msrest.serialization.Model):
@@ -29628,15 +27987,12 @@ class ScheduleBase(msrest.serialization.Model):
     """
 
     _attribute_map = {
-        'id': {'key': 'id', 'type': 'str'},
-        'provisioning_status': {'key': 'provisioningStatus', 'type': 'str'},
-        'status': {'key': 'status', 'type': 'str'},
+        "id": {"key": "id", "type": "str"},
+        "provisioning_status": {"key": "provisioningStatus", "type": "str"},
+        "status": {"key": "status", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword id: A system assigned id for the schedule.
         :paramtype id: str
@@ -29649,9 +28005,9 @@ def __init__(
         :paramtype status: str or ~azure.mgmt.machinelearningservices.models.ScheduleStatus
         """
         super(ScheduleBase, self).__init__(**kwargs)
-        self.id = kwargs.get('id', None)
-        self.provisioning_status = kwargs.get('provisioning_status', None)
-        self.status = kwargs.get('status', None)
+        self.id = kwargs.get("id", None)
+        self.provisioning_status = kwargs.get("provisioning_status", None)
+        self.status = kwargs.get("status", None)
 
 
 class ScheduleProperties(ResourceBase):
@@ -29682,26 +28038,23 @@ class ScheduleProperties(ResourceBase):
     """
 
     _validation = {
-        'action': {'required': True},
-        'provisioning_state': {'readonly': True},
-        'trigger': {'required': True},
+        "action": {"required": True},
+        "provisioning_state": {"readonly": True},
+        "trigger": {"required": True},
     }
 
     _attribute_map = {
-        'description': {'key': 'description', 'type': 'str'},
-        'properties': {'key': 'properties', 'type': '{str}'},
-        'tags': {'key': 'tags', 'type': '{str}'},
-        'action': {'key': 'action', 'type': 'ScheduleActionBase'},
-        'display_name': {'key': 'displayName', 'type': 'str'},
-        'is_enabled': {'key': 'isEnabled', 'type': 'bool'},
-        'provisioning_state': {'key': 'provisioningState', 'type': 'str'},
-        'trigger': {'key': 'trigger', 'type': 'TriggerBase'},
+        "description": {"key": "description", "type": "str"},
+        "properties": {"key": "properties", "type": "{str}"},
+        "tags": {"key": "tags", "type": "{str}"},
+        "action": {"key": "action", "type": "ScheduleActionBase"},
+        "display_name": {"key": "displayName", "type": "str"},
+        "is_enabled": {"key": "isEnabled", "type": "bool"},
+        "provisioning_state": {"key": "provisioningState", "type": "str"},
+        "trigger": {"key": "trigger", "type": "TriggerBase"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword description: The asset description text.
         :paramtype description: str
@@ -29719,11 +28072,11 @@ def __init__(
         :paramtype trigger: ~azure.mgmt.machinelearningservices.models.TriggerBase
         """
         super(ScheduleProperties, self).__init__(**kwargs)
-        self.action = kwargs['action']
-        self.display_name = kwargs.get('display_name', None)
-        self.is_enabled = kwargs.get('is_enabled', True)
+        self.action = kwargs["action"]
+        self.display_name = kwargs.get("display_name", None)
+        self.is_enabled = kwargs.get("is_enabled", True)
         self.provisioning_state = None
-        self.trigger = kwargs['trigger']
+        self.trigger = kwargs["trigger"]
 
 
 class ScheduleResourceArmPaginatedResult(msrest.serialization.Model):
@@ -29737,14 +28090,11 @@ class ScheduleResourceArmPaginatedResult(msrest.serialization.Model):
     """
 
     _attribute_map = {
-        'next_link': {'key': 'nextLink', 'type': 'str'},
-        'value': {'key': 'value', 'type': '[Schedule]'},
+        "next_link": {"key": "nextLink", "type": "str"},
+        "value": {"key": "value", "type": "[Schedule]"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword next_link: The link to the next page of Schedule objects. If null, there are no
          additional pages.
@@ -29753,8 +28103,8 @@ def __init__(
         :paramtype value: list[~azure.mgmt.machinelearningservices.models.Schedule]
         """
         super(ScheduleResourceArmPaginatedResult, self).__init__(**kwargs)
-        self.next_link = kwargs.get('next_link', None)
-        self.value = kwargs.get('value', None)
+        self.next_link = kwargs.get("next_link", None)
+        self.value = kwargs.get("value", None)
 
 
 class ScriptReference(msrest.serialization.Model):
@@ -29771,16 +28121,13 @@ class ScriptReference(msrest.serialization.Model):
     """
 
     _attribute_map = {
-        'script_source': {'key': 'scriptSource', 'type': 'str'},
-        'script_data': {'key': 'scriptData', 'type': 'str'},
-        'script_arguments': {'key': 'scriptArguments', 'type': 'str'},
-        'timeout': {'key': 'timeout', 'type': 'str'},
+        "script_source": {"key": "scriptSource", "type": "str"},
+        "script_data": {"key": "scriptData", "type": "str"},
+        "script_arguments": {"key": "scriptArguments", "type": "str"},
+        "timeout": {"key": "timeout", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword script_source: The storage source of the script: inline, workspace.
         :paramtype script_source: str
@@ -29792,10 +28139,10 @@ def __init__(
         :paramtype timeout: str
         """
         super(ScriptReference, self).__init__(**kwargs)
-        self.script_source = kwargs.get('script_source', None)
-        self.script_data = kwargs.get('script_data', None)
-        self.script_arguments = kwargs.get('script_arguments', None)
-        self.timeout = kwargs.get('timeout', None)
+        self.script_source = kwargs.get("script_source", None)
+        self.script_data = kwargs.get("script_data", None)
+        self.script_arguments = kwargs.get("script_arguments", None)
+        self.timeout = kwargs.get("timeout", None)
 
 
 class ScriptsToExecute(msrest.serialization.Model):
@@ -29808,14 +28155,11 @@ class ScriptsToExecute(msrest.serialization.Model):
     """
 
     _attribute_map = {
-        'startup_script': {'key': 'startupScript', 'type': 'ScriptReference'},
-        'creation_script': {'key': 'creationScript', 'type': 'ScriptReference'},
+        "startup_script": {"key": "startupScript", "type": "ScriptReference"},
+        "creation_script": {"key": "creationScript", "type": "ScriptReference"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword startup_script: Script that's run every time the machine starts.
         :paramtype startup_script: ~azure.mgmt.machinelearningservices.models.ScriptReference
@@ -29823,8 +28167,8 @@ def __init__(
         :paramtype creation_script: ~azure.mgmt.machinelearningservices.models.ScriptReference
         """
         super(ScriptsToExecute, self).__init__(**kwargs)
-        self.startup_script = kwargs.get('startup_script', None)
-        self.creation_script = kwargs.get('creation_script', None)
+        self.startup_script = kwargs.get("startup_script", None)
+        self.creation_script = kwargs.get("creation_script", None)
 
 
 class SecretConfiguration(msrest.serialization.Model):
@@ -29838,14 +28182,11 @@ class SecretConfiguration(msrest.serialization.Model):
     """
 
     _attribute_map = {
-        'uri': {'key': 'uri', 'type': 'str'},
-        'workspace_secret_name': {'key': 'workspaceSecretName', 'type': 'str'},
+        "uri": {"key": "uri", "type": "str"},
+        "workspace_secret_name": {"key": "workspaceSecretName", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword uri: Secret Uri.
          Sample Uri : https://myvault.vault.azure.net/secrets/mysecretname/secretversion.
@@ -29854,8 +28195,8 @@ def __init__(
         :paramtype workspace_secret_name: str
         """
         super(SecretConfiguration, self).__init__(**kwargs)
-        self.uri = kwargs.get('uri', None)
-        self.workspace_secret_name = kwargs.get('workspace_secret_name', None)
+        self.uri = kwargs.get("uri", None)
+        self.workspace_secret_name = kwargs.get("workspace_secret_name", None)
 
 
 class ServerlessComputeSettings(msrest.serialization.Model):
@@ -29870,14 +28211,11 @@ class ServerlessComputeSettings(msrest.serialization.Model):
     """
 
     _attribute_map = {
-        'serverless_compute_custom_subnet': {'key': 'serverlessComputeCustomSubnet', 'type': 'str'},
-        'serverless_compute_no_public_ip': {'key': 'serverlessComputeNoPublicIP', 'type': 'bool'},
+        "serverless_compute_custom_subnet": {"key": "serverlessComputeCustomSubnet", "type": "str"},
+        "serverless_compute_no_public_ip": {"key": "serverlessComputeNoPublicIP", "type": "bool"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword serverless_compute_custom_subnet: The resource ID of an existing virtual network
          subnet in which serverless compute nodes should be deployed.
@@ -29888,8 +28226,8 @@ def __init__(
         :paramtype serverless_compute_no_public_ip: bool
         """
         super(ServerlessComputeSettings, self).__init__(**kwargs)
-        self.serverless_compute_custom_subnet = kwargs.get('serverless_compute_custom_subnet', None)
-        self.serverless_compute_no_public_ip = kwargs.get('serverless_compute_no_public_ip', None)
+        self.serverless_compute_custom_subnet = kwargs.get("serverless_compute_custom_subnet", None)
+        self.serverless_compute_no_public_ip = kwargs.get("serverless_compute_no_public_ip", None)
 
 
 class ServerlessEndpoint(TrackedResource):
@@ -29926,31 +28264,28 @@ class ServerlessEndpoint(TrackedResource):
     """
 
     _validation = {
-        'id': {'readonly': True},
-        'name': {'readonly': True},
-        'type': {'readonly': True},
-        'system_data': {'readonly': True},
-        'location': {'required': True},
-        'properties': {'required': True},
+        "id": {"readonly": True},
+        "name": {"readonly": True},
+        "type": {"readonly": True},
+        "system_data": {"readonly": True},
+        "location": {"required": True},
+        "properties": {"required": True},
     }
 
     _attribute_map = {
-        'id': {'key': 'id', 'type': 'str'},
-        'name': {'key': 'name', 'type': 'str'},
-        'type': {'key': 'type', 'type': 'str'},
-        'system_data': {'key': 'systemData', 'type': 'SystemData'},
-        'tags': {'key': 'tags', 'type': '{str}'},
-        'location': {'key': 'location', 'type': 'str'},
-        'identity': {'key': 'identity', 'type': 'ManagedServiceIdentity'},
-        'kind': {'key': 'kind', 'type': 'str'},
-        'properties': {'key': 'properties', 'type': 'ServerlessEndpointProperties'},
-        'sku': {'key': 'sku', 'type': 'Sku'},
+        "id": {"key": "id", "type": "str"},
+        "name": {"key": "name", "type": "str"},
+        "type": {"key": "type", "type": "str"},
+        "system_data": {"key": "systemData", "type": "SystemData"},
+        "tags": {"key": "tags", "type": "{str}"},
+        "location": {"key": "location", "type": "str"},
+        "identity": {"key": "identity", "type": "ManagedServiceIdentity"},
+        "kind": {"key": "kind", "type": "str"},
+        "properties": {"key": "properties", "type": "ServerlessEndpointProperties"},
+        "sku": {"key": "sku", "type": "Sku"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword tags: A set of tags. Resource tags.
         :paramtype tags: dict[str, str]
@@ -29967,10 +28302,10 @@ def __init__(
         :paramtype sku: ~azure.mgmt.machinelearningservices.models.Sku
         """
         super(ServerlessEndpoint, self).__init__(**kwargs)
-        self.identity = kwargs.get('identity', None)
-        self.kind = kwargs.get('kind', None)
-        self.properties = kwargs['properties']
-        self.sku = kwargs.get('sku', None)
+        self.identity = kwargs.get("identity", None)
+        self.kind = kwargs.get("kind", None)
+        self.properties = kwargs["properties"]
+        self.sku = kwargs.get("sku", None)
 
 
 class ServerlessEndpointCapacityReservation(msrest.serialization.Model):
@@ -29987,18 +28322,15 @@ class ServerlessEndpointCapacityReservation(msrest.serialization.Model):
     """
 
     _validation = {
-        'capacity_reservation_group_id': {'required': True, 'min_length': 1, 'pattern': r'[a-zA-Z0-9_]'},
+        "capacity_reservation_group_id": {"required": True, "min_length": 1, "pattern": r"[a-zA-Z0-9_]"},
     }
 
     _attribute_map = {
-        'capacity_reservation_group_id': {'key': 'capacityReservationGroupId', 'type': 'str'},
-        'endpoint_reserved_capacity': {'key': 'endpointReservedCapacity', 'type': 'int'},
+        "capacity_reservation_group_id": {"key": "capacityReservationGroupId", "type": "str"},
+        "endpoint_reserved_capacity": {"key": "endpointReservedCapacity", "type": "int"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword capacity_reservation_group_id: Required. [Required] Specifies a capacity reservation
          group ID to allocate capacity from.
@@ -30008,8 +28340,8 @@ def __init__(
         :paramtype endpoint_reserved_capacity: int
         """
         super(ServerlessEndpointCapacityReservation, self).__init__(**kwargs)
-        self.capacity_reservation_group_id = kwargs['capacity_reservation_group_id']
-        self.endpoint_reserved_capacity = kwargs.get('endpoint_reserved_capacity', None)
+        self.capacity_reservation_group_id = kwargs["capacity_reservation_group_id"]
+        self.endpoint_reserved_capacity = kwargs.get("endpoint_reserved_capacity", None)
 
 
 class ServerlessEndpointProperties(msrest.serialization.Model):
@@ -30050,27 +28382,24 @@ class ServerlessEndpointProperties(msrest.serialization.Model):
     """
 
     _validation = {
-        'inference_endpoint': {'readonly': True},
-        'marketplace_subscription_id': {'readonly': True},
-        'provisioning_state': {'readonly': True},
-        'endpoint_state': {'readonly': True},
+        "inference_endpoint": {"readonly": True},
+        "marketplace_subscription_id": {"readonly": True},
+        "provisioning_state": {"readonly": True},
+        "endpoint_state": {"readonly": True},
     }
 
     _attribute_map = {
-        'auth_mode': {'key': 'authMode', 'type': 'str'},
-        'capacity_reservation': {'key': 'capacityReservation', 'type': 'ServerlessEndpointCapacityReservation'},
-        'inference_endpoint': {'key': 'inferenceEndpoint', 'type': 'ServerlessInferenceEndpoint'},
-        'marketplace_subscription_id': {'key': 'marketplaceSubscriptionId', 'type': 'str'},
-        'model_settings': {'key': 'modelSettings', 'type': 'ModelSettings'},
-        'offer': {'key': 'offer', 'type': 'ServerlessOffer'},
-        'provisioning_state': {'key': 'provisioningState', 'type': 'str'},
-        'endpoint_state': {'key': 'endpointState', 'type': 'str'},
+        "auth_mode": {"key": "authMode", "type": "str"},
+        "capacity_reservation": {"key": "capacityReservation", "type": "ServerlessEndpointCapacityReservation"},
+        "inference_endpoint": {"key": "inferenceEndpoint", "type": "ServerlessInferenceEndpoint"},
+        "marketplace_subscription_id": {"key": "marketplaceSubscriptionId", "type": "str"},
+        "model_settings": {"key": "modelSettings", "type": "ModelSettings"},
+        "offer": {"key": "offer", "type": "ServerlessOffer"},
+        "provisioning_state": {"key": "provisioningState", "type": "str"},
+        "endpoint_state": {"key": "endpointState", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword auth_mode: Specifies the authentication mode for the Serverless endpoint. Possible
          values include: "Key", "AAD".
@@ -30088,12 +28417,12 @@ def __init__(
         :paramtype offer: ~azure.mgmt.machinelearningservices.models.ServerlessOffer
         """
         super(ServerlessEndpointProperties, self).__init__(**kwargs)
-        self.auth_mode = kwargs.get('auth_mode', None)
-        self.capacity_reservation = kwargs.get('capacity_reservation', None)
+        self.auth_mode = kwargs.get("auth_mode", None)
+        self.capacity_reservation = kwargs.get("capacity_reservation", None)
         self.inference_endpoint = None
         self.marketplace_subscription_id = None
-        self.model_settings = kwargs.get('model_settings', None)
-        self.offer = kwargs.get('offer', None)
+        self.model_settings = kwargs.get("model_settings", None)
+        self.offer = kwargs.get("offer", None)
         self.provisioning_state = None
         self.endpoint_state = None
 
@@ -30108,19 +28437,15 @@ class ServerlessEndpointStatus(msrest.serialization.Model):
     """
 
     _validation = {
-        'metrics': {'readonly': True},
+        "metrics": {"readonly": True},
     }
 
     _attribute_map = {
-        'metrics': {'key': 'metrics', 'type': '{str}'},
+        "metrics": {"key": "metrics", "type": "{str}"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
-        """
-        """
+    def __init__(self, **kwargs):
+        """ """
         super(ServerlessEndpointStatus, self).__init__(**kwargs)
         self.metrics = None
 
@@ -30136,14 +28461,11 @@ class ServerlessEndpointTrackedResourceArmPaginatedResult(msrest.serialization.M
     """
 
     _attribute_map = {
-        'next_link': {'key': 'nextLink', 'type': 'str'},
-        'value': {'key': 'value', 'type': '[ServerlessEndpoint]'},
+        "next_link": {"key": "nextLink", "type": "str"},
+        "value": {"key": "value", "type": "[ServerlessEndpoint]"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword next_link: The link to the next page of ServerlessEndpoint objects. If null, there are
          no additional pages.
@@ -30152,8 +28474,8 @@ def __init__(
         :paramtype value: list[~azure.mgmt.machinelearningservices.models.ServerlessEndpoint]
         """
         super(ServerlessEndpointTrackedResourceArmPaginatedResult, self).__init__(**kwargs)
-        self.next_link = kwargs.get('next_link', None)
-        self.value = kwargs.get('value', None)
+        self.next_link = kwargs.get("next_link", None)
+        self.value = kwargs.get("value", None)
 
 
 class ServerlessInferenceEndpoint(msrest.serialization.Model):
@@ -30171,19 +28493,16 @@ class ServerlessInferenceEndpoint(msrest.serialization.Model):
     """
 
     _validation = {
-        'headers': {'readonly': True},
-        'uri': {'required': True},
+        "headers": {"readonly": True},
+        "uri": {"required": True},
     }
 
     _attribute_map = {
-        'headers': {'key': 'headers', 'type': '{str}'},
-        'uri': {'key': 'uri', 'type': 'str'},
+        "headers": {"key": "headers", "type": "{str}"},
+        "uri": {"key": "uri", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword uri: Required. [Required] The inference uri to target when making requests against the
          Serverless Endpoint.
@@ -30191,7 +28510,7 @@ def __init__(
         """
         super(ServerlessInferenceEndpoint, self).__init__(**kwargs)
         self.headers = None
-        self.uri = kwargs['uri']
+        self.uri = kwargs["uri"]
 
 
 class ServerlessOffer(msrest.serialization.Model):
@@ -30206,19 +28525,16 @@ class ServerlessOffer(msrest.serialization.Model):
     """
 
     _validation = {
-        'offer_name': {'required': True, 'min_length': 1, 'pattern': r'[a-zA-Z0-9_]'},
-        'publisher': {'required': True, 'min_length': 1, 'pattern': r'[a-zA-Z0-9_]'},
+        "offer_name": {"required": True, "min_length": 1, "pattern": r"[a-zA-Z0-9_]"},
+        "publisher": {"required": True, "min_length": 1, "pattern": r"[a-zA-Z0-9_]"},
     }
 
     _attribute_map = {
-        'offer_name': {'key': 'offerName', 'type': 'str'},
-        'publisher': {'key': 'publisher', 'type': 'str'},
+        "offer_name": {"key": "offerName", "type": "str"},
+        "publisher": {"key": "publisher", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword offer_name: Required. [Required] The name of the Serverless Offer.
         :paramtype offer_name: str
@@ -30226,8 +28542,8 @@ def __init__(
         :paramtype publisher: str
         """
         super(ServerlessOffer, self).__init__(**kwargs)
-        self.offer_name = kwargs['offer_name']
-        self.publisher = kwargs['publisher']
+        self.offer_name = kwargs["offer_name"]
+        self.publisher = kwargs["publisher"]
 
 
 class ServiceManagedResourcesSettings(msrest.serialization.Model):
@@ -30238,19 +28554,16 @@ class ServiceManagedResourcesSettings(msrest.serialization.Model):
     """
 
     _attribute_map = {
-        'cosmos_db': {'key': 'cosmosDb', 'type': 'CosmosDbSettings'},
+        "cosmos_db": {"key": "cosmosDb", "type": "CosmosDbSettings"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword cosmos_db:
         :paramtype cosmos_db: ~azure.mgmt.machinelearningservices.models.CosmosDbSettings
         """
         super(ServiceManagedResourcesSettings, self).__init__(**kwargs)
-        self.cosmos_db = kwargs.get('cosmos_db', None)
+        self.cosmos_db = kwargs.get("cosmos_db", None)
 
 
 class ServicePrincipalAuthTypeWorkspaceConnectionProperties(WorkspaceConnectionPropertiesV2):
@@ -30303,28 +28616,25 @@ class ServicePrincipalAuthTypeWorkspaceConnectionProperties(WorkspaceConnectionP
     """
 
     _validation = {
-        'auth_type': {'required': True},
-        'created_by_workspace_arm_id': {'readonly': True},
-        'group': {'readonly': True},
+        "auth_type": {"required": True},
+        "created_by_workspace_arm_id": {"readonly": True},
+        "group": {"readonly": True},
     }
 
     _attribute_map = {
-        'auth_type': {'key': 'authType', 'type': 'str'},
-        'category': {'key': 'category', 'type': 'str'},
-        'created_by_workspace_arm_id': {'key': 'createdByWorkspaceArmId', 'type': 'str'},
-        'expiry_time': {'key': 'expiryTime', 'type': 'iso-8601'},
-        'group': {'key': 'group', 'type': 'str'},
-        'is_shared_to_all': {'key': 'isSharedToAll', 'type': 'bool'},
-        'metadata': {'key': 'metadata', 'type': 'object'},
-        'shared_user_list': {'key': 'sharedUserList', 'type': '[str]'},
-        'target': {'key': 'target', 'type': 'str'},
-        'credentials': {'key': 'credentials', 'type': 'WorkspaceConnectionServicePrincipal'},
+        "auth_type": {"key": "authType", "type": "str"},
+        "category": {"key": "category", "type": "str"},
+        "created_by_workspace_arm_id": {"key": "createdByWorkspaceArmId", "type": "str"},
+        "expiry_time": {"key": "expiryTime", "type": "iso-8601"},
+        "group": {"key": "group", "type": "str"},
+        "is_shared_to_all": {"key": "isSharedToAll", "type": "bool"},
+        "metadata": {"key": "metadata", "type": "object"},
+        "shared_user_list": {"key": "sharedUserList", "type": "[str]"},
+        "target": {"key": "target", "type": "str"},
+        "credentials": {"key": "credentials", "type": "WorkspaceConnectionServicePrincipal"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword category: Category of the connection. Possible values include: "PythonFeed",
          "ContainerRegistry", "Git", "S3", "Snowflake", "AzureSqlDb", "AzureSynapseAnalytics",
@@ -30359,8 +28669,8 @@ def __init__(
          ~azure.mgmt.machinelearningservices.models.WorkspaceConnectionServicePrincipal
         """
         super(ServicePrincipalAuthTypeWorkspaceConnectionProperties, self).__init__(**kwargs)
-        self.auth_type = 'ServicePrincipal'  # type: str
-        self.credentials = kwargs.get('credentials', None)
+        self.auth_type = "ServicePrincipal"  # type: str
+        self.credentials = kwargs.get("credentials", None)
 
 
 class ServicePrincipalDatastoreCredentials(DatastoreCredentials):
@@ -30385,25 +28695,22 @@ class ServicePrincipalDatastoreCredentials(DatastoreCredentials):
     """
 
     _validation = {
-        'credentials_type': {'required': True},
-        'client_id': {'required': True},
-        'secrets': {'required': True},
-        'tenant_id': {'required': True},
+        "credentials_type": {"required": True},
+        "client_id": {"required": True},
+        "secrets": {"required": True},
+        "tenant_id": {"required": True},
     }
 
     _attribute_map = {
-        'credentials_type': {'key': 'credentialsType', 'type': 'str'},
-        'authority_url': {'key': 'authorityUrl', 'type': 'str'},
-        'client_id': {'key': 'clientId', 'type': 'str'},
-        'resource_url': {'key': 'resourceUrl', 'type': 'str'},
-        'secrets': {'key': 'secrets', 'type': 'ServicePrincipalDatastoreSecrets'},
-        'tenant_id': {'key': 'tenantId', 'type': 'str'},
+        "credentials_type": {"key": "credentialsType", "type": "str"},
+        "authority_url": {"key": "authorityUrl", "type": "str"},
+        "client_id": {"key": "clientId", "type": "str"},
+        "resource_url": {"key": "resourceUrl", "type": "str"},
+        "secrets": {"key": "secrets", "type": "ServicePrincipalDatastoreSecrets"},
+        "tenant_id": {"key": "tenantId", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword authority_url: Authority URL used for authentication.
         :paramtype authority_url: str
@@ -30418,12 +28725,12 @@ def __init__(
         :paramtype tenant_id: str
         """
         super(ServicePrincipalDatastoreCredentials, self).__init__(**kwargs)
-        self.credentials_type = 'ServicePrincipal'  # type: str
-        self.authority_url = kwargs.get('authority_url', None)
-        self.client_id = kwargs['client_id']
-        self.resource_url = kwargs.get('resource_url', None)
-        self.secrets = kwargs['secrets']
-        self.tenant_id = kwargs['tenant_id']
+        self.credentials_type = "ServicePrincipal"  # type: str
+        self.authority_url = kwargs.get("authority_url", None)
+        self.client_id = kwargs["client_id"]
+        self.resource_url = kwargs.get("resource_url", None)
+        self.secrets = kwargs["secrets"]
+        self.tenant_id = kwargs["tenant_id"]
 
 
 class ServicePrincipalDatastoreSecrets(DatastoreSecrets):
@@ -30440,25 +28747,22 @@ class ServicePrincipalDatastoreSecrets(DatastoreSecrets):
     """
 
     _validation = {
-        'secrets_type': {'required': True},
+        "secrets_type": {"required": True},
     }
 
     _attribute_map = {
-        'secrets_type': {'key': 'secretsType', 'type': 'str'},
-        'client_secret': {'key': 'clientSecret', 'type': 'str'},
+        "secrets_type": {"key": "secretsType", "type": "str"},
+        "client_secret": {"key": "clientSecret", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword client_secret: Service principal secret.
         :paramtype client_secret: str
         """
         super(ServicePrincipalDatastoreSecrets, self).__init__(**kwargs)
-        self.secrets_type = 'ServicePrincipal'  # type: str
-        self.client_secret = kwargs.get('client_secret', None)
+        self.secrets_type = "ServicePrincipal"  # type: str
+        self.client_secret = kwargs.get("client_secret", None)
 
 
 class ServiceTagDestination(msrest.serialization.Model):
@@ -30479,21 +28783,18 @@ class ServiceTagDestination(msrest.serialization.Model):
     """
 
     _validation = {
-        'address_prefixes': {'readonly': True},
+        "address_prefixes": {"readonly": True},
     }
 
     _attribute_map = {
-        'action': {'key': 'action', 'type': 'str'},
-        'address_prefixes': {'key': 'addressPrefixes', 'type': '[str]'},
-        'port_ranges': {'key': 'portRanges', 'type': 'str'},
-        'protocol': {'key': 'protocol', 'type': 'str'},
-        'service_tag': {'key': 'serviceTag', 'type': 'str'},
+        "action": {"key": "action", "type": "str"},
+        "address_prefixes": {"key": "addressPrefixes", "type": "[str]"},
+        "port_ranges": {"key": "portRanges", "type": "str"},
+        "protocol": {"key": "protocol", "type": "str"},
+        "service_tag": {"key": "serviceTag", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword action: The action enum for networking rule. Possible values include: "Allow", "Deny".
         :paramtype action: str or ~azure.mgmt.machinelearningservices.models.RuleAction
@@ -30505,11 +28806,11 @@ def __init__(
         :paramtype service_tag: str
         """
         super(ServiceTagDestination, self).__init__(**kwargs)
-        self.action = kwargs.get('action', None)
+        self.action = kwargs.get("action", None)
         self.address_prefixes = None
-        self.port_ranges = kwargs.get('port_ranges', None)
-        self.protocol = kwargs.get('protocol', None)
-        self.service_tag = kwargs.get('service_tag', None)
+        self.port_ranges = kwargs.get("port_ranges", None)
+        self.protocol = kwargs.get("protocol", None)
+        self.service_tag = kwargs.get("service_tag", None)
 
 
 class ServiceTagOutboundRule(OutboundRule):
@@ -30533,20 +28834,17 @@ class ServiceTagOutboundRule(OutboundRule):
     """
 
     _validation = {
-        'type': {'required': True},
+        "type": {"required": True},
     }
 
     _attribute_map = {
-        'category': {'key': 'category', 'type': 'str'},
-        'status': {'key': 'status', 'type': 'str'},
-        'type': {'key': 'type', 'type': 'str'},
-        'destination': {'key': 'destination', 'type': 'ServiceTagDestination'},
+        "category": {"key": "category", "type": "str"},
+        "status": {"key": "status", "type": "str"},
+        "type": {"key": "type", "type": "str"},
+        "destination": {"key": "destination", "type": "ServiceTagDestination"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword category: Category of a managed network Outbound Rule of a machine learning workspace.
          Possible values include: "Required", "Recommended", "UserDefined".
@@ -30559,8 +28857,8 @@ def __init__(
         :paramtype destination: ~azure.mgmt.machinelearningservices.models.ServiceTagDestination
         """
         super(ServiceTagOutboundRule, self).__init__(**kwargs)
-        self.type = 'ServiceTag'  # type: str
-        self.destination = kwargs.get('destination', None)
+        self.type = "ServiceTag"  # type: str
+        self.destination = kwargs.get("destination", None)
 
 
 class SetupScripts(msrest.serialization.Model):
@@ -30571,19 +28869,16 @@ class SetupScripts(msrest.serialization.Model):
     """
 
     _attribute_map = {
-        'scripts': {'key': 'scripts', 'type': 'ScriptsToExecute'},
+        "scripts": {"key": "scripts", "type": "ScriptsToExecute"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword scripts: Customized setup scripts.
         :paramtype scripts: ~azure.mgmt.machinelearningservices.models.ScriptsToExecute
         """
         super(SetupScripts, self).__init__(**kwargs)
-        self.scripts = kwargs.get('scripts', None)
+        self.scripts = kwargs.get("scripts", None)
 
 
 class SharedPrivateLinkResource(msrest.serialization.Model):
@@ -30604,17 +28899,14 @@ class SharedPrivateLinkResource(msrest.serialization.Model):
     """
 
     _attribute_map = {
-        'name': {'key': 'name', 'type': 'str'},
-        'group_id': {'key': 'properties.groupId', 'type': 'str'},
-        'private_link_resource_id': {'key': 'properties.privateLinkResourceId', 'type': 'str'},
-        'request_message': {'key': 'properties.requestMessage', 'type': 'str'},
-        'status': {'key': 'properties.status', 'type': 'str'},
+        "name": {"key": "name", "type": "str"},
+        "group_id": {"key": "properties.groupId", "type": "str"},
+        "private_link_resource_id": {"key": "properties.privateLinkResourceId", "type": "str"},
+        "request_message": {"key": "properties.requestMessage", "type": "str"},
+        "status": {"key": "properties.status", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword name: Unique name of the private link.
         :paramtype name: str
@@ -30630,11 +28922,11 @@ def __init__(
          ~azure.mgmt.machinelearningservices.models.EndpointServiceConnectionStatus
         """
         super(SharedPrivateLinkResource, self).__init__(**kwargs)
-        self.name = kwargs.get('name', None)
-        self.group_id = kwargs.get('group_id', None)
-        self.private_link_resource_id = kwargs.get('private_link_resource_id', None)
-        self.request_message = kwargs.get('request_message', None)
-        self.status = kwargs.get('status', None)
+        self.name = kwargs.get("name", None)
+        self.group_id = kwargs.get("group_id", None)
+        self.private_link_resource_id = kwargs.get("private_link_resource_id", None)
+        self.request_message = kwargs.get("request_message", None)
+        self.status = kwargs.get("status", None)
 
 
 class Sku(msrest.serialization.Model):
@@ -30660,21 +28952,18 @@ class Sku(msrest.serialization.Model):
     """
 
     _validation = {
-        'name': {'required': True},
+        "name": {"required": True},
     }
 
     _attribute_map = {
-        'name': {'key': 'name', 'type': 'str'},
-        'tier': {'key': 'tier', 'type': 'str'},
-        'size': {'key': 'size', 'type': 'str'},
-        'family': {'key': 'family', 'type': 'str'},
-        'capacity': {'key': 'capacity', 'type': 'int'},
+        "name": {"key": "name", "type": "str"},
+        "tier": {"key": "tier", "type": "str"},
+        "size": {"key": "size", "type": "str"},
+        "family": {"key": "family", "type": "str"},
+        "capacity": {"key": "capacity", "type": "int"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword name: Required. The name of the SKU. Ex - P3. It is typically a letter+number code.
         :paramtype name: str
@@ -30693,11 +28982,11 @@ def __init__(
         :paramtype capacity: int
         """
         super(Sku, self).__init__(**kwargs)
-        self.name = kwargs['name']
-        self.tier = kwargs.get('tier', None)
-        self.size = kwargs.get('size', None)
-        self.family = kwargs.get('family', None)
-        self.capacity = kwargs.get('capacity', None)
+        self.name = kwargs["name"]
+        self.tier = kwargs.get("tier", None)
+        self.size = kwargs.get("size", None)
+        self.family = kwargs.get("family", None)
+        self.capacity = kwargs.get("capacity", None)
 
 
 class SkuCapacity(msrest.serialization.Model):
@@ -30715,16 +29004,13 @@ class SkuCapacity(msrest.serialization.Model):
     """
 
     _attribute_map = {
-        'default': {'key': 'default', 'type': 'int'},
-        'maximum': {'key': 'maximum', 'type': 'int'},
-        'minimum': {'key': 'minimum', 'type': 'int'},
-        'scale_type': {'key': 'scaleType', 'type': 'str'},
+        "default": {"key": "default", "type": "int"},
+        "maximum": {"key": "maximum", "type": "int"},
+        "minimum": {"key": "minimum", "type": "int"},
+        "scale_type": {"key": "scaleType", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword default: Gets or sets the default capacity.
         :paramtype default: int
@@ -30737,10 +29023,10 @@ def __init__(
         :paramtype scale_type: str or ~azure.mgmt.machinelearningservices.models.SkuScaleType
         """
         super(SkuCapacity, self).__init__(**kwargs)
-        self.default = kwargs.get('default', 0)
-        self.maximum = kwargs.get('maximum', 0)
-        self.minimum = kwargs.get('minimum', 0)
-        self.scale_type = kwargs.get('scale_type', None)
+        self.default = kwargs.get("default", 0)
+        self.maximum = kwargs.get("maximum", 0)
+        self.minimum = kwargs.get("minimum", 0)
+        self.scale_type = kwargs.get("scale_type", None)
 
 
 class SkuResource(msrest.serialization.Model):
@@ -30757,19 +29043,16 @@ class SkuResource(msrest.serialization.Model):
     """
 
     _validation = {
-        'resource_type': {'readonly': True},
+        "resource_type": {"readonly": True},
     }
 
     _attribute_map = {
-        'capacity': {'key': 'capacity', 'type': 'SkuCapacity'},
-        'resource_type': {'key': 'resourceType', 'type': 'str'},
-        'sku': {'key': 'sku', 'type': 'SkuSetting'},
+        "capacity": {"key": "capacity", "type": "SkuCapacity"},
+        "resource_type": {"key": "resourceType", "type": "str"},
+        "sku": {"key": "sku", "type": "SkuSetting"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword capacity: Gets or sets the Sku Capacity.
         :paramtype capacity: ~azure.mgmt.machinelearningservices.models.SkuCapacity
@@ -30777,9 +29060,9 @@ def __init__(
         :paramtype sku: ~azure.mgmt.machinelearningservices.models.SkuSetting
         """
         super(SkuResource, self).__init__(**kwargs)
-        self.capacity = kwargs.get('capacity', None)
+        self.capacity = kwargs.get("capacity", None)
         self.resource_type = None
-        self.sku = kwargs.get('sku', None)
+        self.sku = kwargs.get("sku", None)
 
 
 class SkuResourceArmPaginatedResult(msrest.serialization.Model):
@@ -30793,14 +29076,11 @@ class SkuResourceArmPaginatedResult(msrest.serialization.Model):
     """
 
     _attribute_map = {
-        'next_link': {'key': 'nextLink', 'type': 'str'},
-        'value': {'key': 'value', 'type': '[SkuResource]'},
+        "next_link": {"key": "nextLink", "type": "str"},
+        "value": {"key": "value", "type": "[SkuResource]"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword next_link: The link to the next page of SkuResource objects. If null, there are no
          additional pages.
@@ -30809,8 +29089,8 @@ def __init__(
         :paramtype value: list[~azure.mgmt.machinelearningservices.models.SkuResource]
         """
         super(SkuResourceArmPaginatedResult, self).__init__(**kwargs)
-        self.next_link = kwargs.get('next_link', None)
-        self.value = kwargs.get('value', None)
+        self.next_link = kwargs.get("next_link", None)
+        self.value = kwargs.get("value", None)
 
 
 class SkuSetting(msrest.serialization.Model):
@@ -30828,18 +29108,15 @@ class SkuSetting(msrest.serialization.Model):
     """
 
     _validation = {
-        'name': {'required': True, 'min_length': 1, 'pattern': r'[a-zA-Z0-9_]'},
+        "name": {"required": True, "min_length": 1, "pattern": r"[a-zA-Z0-9_]"},
     }
 
     _attribute_map = {
-        'name': {'key': 'name', 'type': 'str'},
-        'tier': {'key': 'tier', 'type': 'str'},
+        "name": {"key": "name", "type": "str"},
+        "tier": {"key": "tier", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword name: Required. [Required] The name of the SKU. Ex - P3. It is typically a
          letter+number code.
@@ -30850,8 +29127,8 @@ def __init__(
         :paramtype tier: str or ~azure.mgmt.machinelearningservices.models.SkuTier
         """
         super(SkuSetting, self).__init__(**kwargs)
-        self.name = kwargs['name']
-        self.tier = kwargs.get('tier', None)
+        self.name = kwargs["name"]
+        self.tier = kwargs.get("tier", None)
 
 
 class SparkJob(JobBaseProperties):
@@ -30929,47 +29206,44 @@ class SparkJob(JobBaseProperties):
     """
 
     _validation = {
-        'job_type': {'required': True},
-        'status': {'readonly': True},
-        'code_id': {'required': True, 'min_length': 1, 'pattern': r'[a-zA-Z0-9_]'},
-        'entry': {'required': True},
-    }
-
-    _attribute_map = {
-        'description': {'key': 'description', 'type': 'str'},
-        'properties': {'key': 'properties', 'type': '{str}'},
-        'tags': {'key': 'tags', 'type': '{str}'},
-        'component_id': {'key': 'componentId', 'type': 'str'},
-        'compute_id': {'key': 'computeId', 'type': 'str'},
-        'display_name': {'key': 'displayName', 'type': 'str'},
-        'experiment_name': {'key': 'experimentName', 'type': 'str'},
-        'identity': {'key': 'identity', 'type': 'IdentityConfiguration'},
-        'is_archived': {'key': 'isArchived', 'type': 'bool'},
-        'job_type': {'key': 'jobType', 'type': 'str'},
-        'notification_setting': {'key': 'notificationSetting', 'type': 'NotificationSetting'},
-        'secrets_configuration': {'key': 'secretsConfiguration', 'type': '{SecretConfiguration}'},
-        'services': {'key': 'services', 'type': '{JobService}'},
-        'status': {'key': 'status', 'type': 'str'},
-        'archives': {'key': 'archives', 'type': '[str]'},
-        'args': {'key': 'args', 'type': 'str'},
-        'code_id': {'key': 'codeId', 'type': 'str'},
-        'conf': {'key': 'conf', 'type': '{str}'},
-        'entry': {'key': 'entry', 'type': 'SparkJobEntry'},
-        'environment_id': {'key': 'environmentId', 'type': 'str'},
-        'environment_variables': {'key': 'environmentVariables', 'type': '{str}'},
-        'files': {'key': 'files', 'type': '[str]'},
-        'inputs': {'key': 'inputs', 'type': '{JobInput}'},
-        'jars': {'key': 'jars', 'type': '[str]'},
-        'outputs': {'key': 'outputs', 'type': '{JobOutput}'},
-        'py_files': {'key': 'pyFiles', 'type': '[str]'},
-        'queue_settings': {'key': 'queueSettings', 'type': 'QueueSettings'},
-        'resources': {'key': 'resources', 'type': 'SparkResourceConfiguration'},
-    }
-
-    def __init__(
-            self,
-            **kwargs
-    ):
+        "job_type": {"required": True},
+        "status": {"readonly": True},
+        "code_id": {"required": True, "min_length": 1, "pattern": r"[a-zA-Z0-9_]"},
+        "entry": {"required": True},
+    }
+
+    _attribute_map = {
+        "description": {"key": "description", "type": "str"},
+        "properties": {"key": "properties", "type": "{str}"},
+        "tags": {"key": "tags", "type": "{str}"},
+        "component_id": {"key": "componentId", "type": "str"},
+        "compute_id": {"key": "computeId", "type": "str"},
+        "display_name": {"key": "displayName", "type": "str"},
+        "experiment_name": {"key": "experimentName", "type": "str"},
+        "identity": {"key": "identity", "type": "IdentityConfiguration"},
+        "is_archived": {"key": "isArchived", "type": "bool"},
+        "job_type": {"key": "jobType", "type": "str"},
+        "notification_setting": {"key": "notificationSetting", "type": "NotificationSetting"},
+        "secrets_configuration": {"key": "secretsConfiguration", "type": "{SecretConfiguration}"},
+        "services": {"key": "services", "type": "{JobService}"},
+        "status": {"key": "status", "type": "str"},
+        "archives": {"key": "archives", "type": "[str]"},
+        "args": {"key": "args", "type": "str"},
+        "code_id": {"key": "codeId", "type": "str"},
+        "conf": {"key": "conf", "type": "{str}"},
+        "entry": {"key": "entry", "type": "SparkJobEntry"},
+        "environment_id": {"key": "environmentId", "type": "str"},
+        "environment_variables": {"key": "environmentVariables", "type": "{str}"},
+        "files": {"key": "files", "type": "[str]"},
+        "inputs": {"key": "inputs", "type": "{JobInput}"},
+        "jars": {"key": "jars", "type": "[str]"},
+        "outputs": {"key": "outputs", "type": "{JobOutput}"},
+        "py_files": {"key": "pyFiles", "type": "[str]"},
+        "queue_settings": {"key": "queueSettings", "type": "QueueSettings"},
+        "resources": {"key": "resources", "type": "SparkResourceConfiguration"},
+    }
+
+    def __init__(self, **kwargs):
         """
         :keyword description: The asset description text.
         :paramtype description: str
@@ -31030,21 +29304,21 @@ def __init__(
         :paramtype resources: ~azure.mgmt.machinelearningservices.models.SparkResourceConfiguration
         """
         super(SparkJob, self).__init__(**kwargs)
-        self.job_type = 'Spark'  # type: str
-        self.archives = kwargs.get('archives', None)
-        self.args = kwargs.get('args', None)
-        self.code_id = kwargs['code_id']
-        self.conf = kwargs.get('conf', None)
-        self.entry = kwargs['entry']
-        self.environment_id = kwargs.get('environment_id', None)
-        self.environment_variables = kwargs.get('environment_variables', None)
-        self.files = kwargs.get('files', None)
-        self.inputs = kwargs.get('inputs', None)
-        self.jars = kwargs.get('jars', None)
-        self.outputs = kwargs.get('outputs', None)
-        self.py_files = kwargs.get('py_files', None)
-        self.queue_settings = kwargs.get('queue_settings', None)
-        self.resources = kwargs.get('resources', None)
+        self.job_type = "Spark"  # type: str
+        self.archives = kwargs.get("archives", None)
+        self.args = kwargs.get("args", None)
+        self.code_id = kwargs["code_id"]
+        self.conf = kwargs.get("conf", None)
+        self.entry = kwargs["entry"]
+        self.environment_id = kwargs.get("environment_id", None)
+        self.environment_variables = kwargs.get("environment_variables", None)
+        self.files = kwargs.get("files", None)
+        self.inputs = kwargs.get("inputs", None)
+        self.jars = kwargs.get("jars", None)
+        self.outputs = kwargs.get("outputs", None)
+        self.py_files = kwargs.get("py_files", None)
+        self.queue_settings = kwargs.get("queue_settings", None)
+        self.resources = kwargs.get("resources", None)
 
 
 class SparkJobEntry(msrest.serialization.Model):
@@ -31062,24 +29336,22 @@ class SparkJobEntry(msrest.serialization.Model):
     """
 
     _validation = {
-        'spark_job_entry_type': {'required': True},
+        "spark_job_entry_type": {"required": True},
     }
 
     _attribute_map = {
-        'spark_job_entry_type': {'key': 'sparkJobEntryType', 'type': 'str'},
+        "spark_job_entry_type": {"key": "sparkJobEntryType", "type": "str"},
     }
 
     _subtype_map = {
-        'spark_job_entry_type': {'SparkJobPythonEntry': 'SparkJobPythonEntry',
-                                 'SparkJobScalaEntry': 'SparkJobScalaEntry'}
+        "spark_job_entry_type": {
+            "SparkJobPythonEntry": "SparkJobPythonEntry",
+            "SparkJobScalaEntry": "SparkJobScalaEntry",
+        }
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
-        """
-        """
+    def __init__(self, **kwargs):
+        """ """
         super(SparkJobEntry, self).__init__(**kwargs)
         self.spark_job_entry_type = None  # type: Optional[str]
 
@@ -31098,26 +29370,23 @@ class SparkJobPythonEntry(SparkJobEntry):
     """
 
     _validation = {
-        'spark_job_entry_type': {'required': True},
-        'file': {'required': True, 'min_length': 1, 'pattern': r'[a-zA-Z0-9_]'},
+        "spark_job_entry_type": {"required": True},
+        "file": {"required": True, "min_length": 1, "pattern": r"[a-zA-Z0-9_]"},
     }
 
     _attribute_map = {
-        'spark_job_entry_type': {'key': 'sparkJobEntryType', 'type': 'str'},
-        'file': {'key': 'file', 'type': 'str'},
+        "spark_job_entry_type": {"key": "sparkJobEntryType", "type": "str"},
+        "file": {"key": "file", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword file: Required. [Required] Relative python file path for job entry point.
         :paramtype file: str
         """
         super(SparkJobPythonEntry, self).__init__(**kwargs)
-        self.spark_job_entry_type = 'SparkJobPythonEntry'  # type: str
-        self.file = kwargs['file']
+        self.spark_job_entry_type = "SparkJobPythonEntry"  # type: str
+        self.file = kwargs["file"]
 
 
 class SparkJobScalaEntry(SparkJobEntry):
@@ -31134,26 +29403,23 @@ class SparkJobScalaEntry(SparkJobEntry):
     """
 
     _validation = {
-        'spark_job_entry_type': {'required': True},
-        'class_name': {'required': True, 'min_length': 1, 'pattern': r'[a-zA-Z0-9_]'},
+        "spark_job_entry_type": {"required": True},
+        "class_name": {"required": True, "min_length": 1, "pattern": r"[a-zA-Z0-9_]"},
     }
 
     _attribute_map = {
-        'spark_job_entry_type': {'key': 'sparkJobEntryType', 'type': 'str'},
-        'class_name': {'key': 'className', 'type': 'str'},
+        "spark_job_entry_type": {"key": "sparkJobEntryType", "type": "str"},
+        "class_name": {"key": "className", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword class_name: Required. [Required] Scala class name used as entry point.
         :paramtype class_name: str
         """
         super(SparkJobScalaEntry, self).__init__(**kwargs)
-        self.spark_job_entry_type = 'SparkJobScalaEntry'  # type: str
-        self.class_name = kwargs['class_name']
+        self.spark_job_entry_type = "SparkJobScalaEntry"  # type: str
+        self.class_name = kwargs["class_name"]
 
 
 class SparkResourceConfiguration(msrest.serialization.Model):
@@ -31166,14 +29432,11 @@ class SparkResourceConfiguration(msrest.serialization.Model):
     """
 
     _attribute_map = {
-        'instance_type': {'key': 'instanceType', 'type': 'str'},
-        'runtime_version': {'key': 'runtimeVersion', 'type': 'str'},
+        "instance_type": {"key": "instanceType", "type": "str"},
+        "runtime_version": {"key": "runtimeVersion", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword instance_type: Optional type of VM used as supported by the compute target.
         :paramtype instance_type: str
@@ -31181,12 +29444,13 @@ def __init__(
         :paramtype runtime_version: str
         """
         super(SparkResourceConfiguration, self).__init__(**kwargs)
-        self.instance_type = kwargs.get('instance_type', None)
-        self.runtime_version = kwargs.get('runtime_version', "3.1")
+        self.instance_type = kwargs.get("instance_type", None)
+        self.runtime_version = kwargs.get("runtime_version", "3.1")
 
 
-class SpeechEndpointDeploymentResourceProperties(EndpointDeploymentResourceProperties,
-                                                 CognitiveServiceEndpointDeploymentResourceProperties):
+class SpeechEndpointDeploymentResourceProperties(
+    EndpointDeploymentResourceProperties, CognitiveServiceEndpointDeploymentResourceProperties
+):
     """SpeechEndpointDeploymentResourceProperties.
 
     Variables are only populated by the server, and will be ignored when sending a request.
@@ -31214,25 +29478,22 @@ class SpeechEndpointDeploymentResourceProperties(EndpointDeploymentResourcePrope
     """
 
     _validation = {
-        'model': {'required': True},
-        'provisioning_state': {'readonly': True},
-        'type': {'required': True, 'min_length': 1, 'pattern': r'[a-zA-Z0-9._]'},
+        "model": {"required": True},
+        "provisioning_state": {"readonly": True},
+        "type": {"required": True, "min_length": 1, "pattern": r"[a-zA-Z0-9._]"},
     }
 
     _attribute_map = {
-        'model': {'key': 'model', 'type': 'EndpointDeploymentModel'},
-        'rai_policy_name': {'key': 'raiPolicyName', 'type': 'str'},
-        'sku': {'key': 'sku', 'type': 'CognitiveServicesSku'},
-        'version_upgrade_option': {'key': 'versionUpgradeOption', 'type': 'str'},
-        'failure_reason': {'key': 'failureReason', 'type': 'str'},
-        'provisioning_state': {'key': 'provisioningState', 'type': 'str'},
-        'type': {'key': 'type', 'type': 'str'},
+        "model": {"key": "model", "type": "EndpointDeploymentModel"},
+        "rai_policy_name": {"key": "raiPolicyName", "type": "str"},
+        "sku": {"key": "sku", "type": "CognitiveServicesSku"},
+        "version_upgrade_option": {"key": "versionUpgradeOption", "type": "str"},
+        "failure_reason": {"key": "failureReason", "type": "str"},
+        "provisioning_state": {"key": "provisioningState", "type": "str"},
+        "type": {"key": "type", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword model: Required. Model used for the endpoint deployment.
         :paramtype model: ~azure.mgmt.machinelearningservices.models.EndpointDeploymentModel
@@ -31248,12 +29509,12 @@ def __init__(
         :paramtype failure_reason: str
         """
         super(SpeechEndpointDeploymentResourceProperties, self).__init__(**kwargs)
-        self.model = kwargs['model']
-        self.rai_policy_name = kwargs.get('rai_policy_name', None)
-        self.sku = kwargs.get('sku', None)
-        self.version_upgrade_option = kwargs.get('version_upgrade_option', None)
-        self.type = 'Azure.Speech'  # type: str
-        self.failure_reason = kwargs.get('failure_reason', None)
+        self.model = kwargs["model"]
+        self.rai_policy_name = kwargs.get("rai_policy_name", None)
+        self.sku = kwargs.get("sku", None)
+        self.version_upgrade_option = kwargs.get("version_upgrade_option", None)
+        self.type = "Azure.Speech"  # type: str
+        self.failure_reason = kwargs.get("failure_reason", None)
         self.provisioning_state = None
 
 
@@ -31284,23 +29545,20 @@ class SpeechEndpointResourceProperties(EndpointResourceProperties):
     """
 
     _validation = {
-        'endpoint_type': {'required': True},
-        'provisioning_state': {'readonly': True},
+        "endpoint_type": {"required": True},
+        "provisioning_state": {"readonly": True},
     }
 
     _attribute_map = {
-        'associated_resource_id': {'key': 'associatedResourceId', 'type': 'str'},
-        'endpoint_type': {'key': 'endpointType', 'type': 'str'},
-        'endpoint_uri': {'key': 'endpointUri', 'type': 'str'},
-        'failure_reason': {'key': 'failureReason', 'type': 'str'},
-        'name': {'key': 'name', 'type': 'str'},
-        'provisioning_state': {'key': 'provisioningState', 'type': 'str'},
+        "associated_resource_id": {"key": "associatedResourceId", "type": "str"},
+        "endpoint_type": {"key": "endpointType", "type": "str"},
+        "endpoint_uri": {"key": "endpointUri", "type": "str"},
+        "failure_reason": {"key": "failureReason", "type": "str"},
+        "name": {"key": "name", "type": "str"},
+        "provisioning_state": {"key": "provisioningState", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword associated_resource_id: Byo resource id for creating the built-in model service
          endpoints.
@@ -31313,7 +29571,7 @@ def __init__(
         :paramtype name: str
         """
         super(SpeechEndpointResourceProperties, self).__init__(**kwargs)
-        self.endpoint_type = 'Azure.Speech'  # type: str
+        self.endpoint_type = "Azure.Speech"  # type: str
 
 
 class SslConfiguration(msrest.serialization.Model):
@@ -31335,18 +29593,15 @@ class SslConfiguration(msrest.serialization.Model):
     """
 
     _attribute_map = {
-        'status': {'key': 'status', 'type': 'str'},
-        'cert': {'key': 'cert', 'type': 'str'},
-        'key': {'key': 'key', 'type': 'str'},
-        'cname': {'key': 'cname', 'type': 'str'},
-        'leaf_domain_label': {'key': 'leafDomainLabel', 'type': 'str'},
-        'overwrite_existing_domain': {'key': 'overwriteExistingDomain', 'type': 'bool'},
+        "status": {"key": "status", "type": "str"},
+        "cert": {"key": "cert", "type": "str"},
+        "key": {"key": "key", "type": "str"},
+        "cname": {"key": "cname", "type": "str"},
+        "leaf_domain_label": {"key": "leafDomainLabel", "type": "str"},
+        "overwrite_existing_domain": {"key": "overwriteExistingDomain", "type": "bool"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword status: Enable or disable ssl for scoring. Possible values include: "Disabled",
          "Enabled", "Auto".
@@ -31363,12 +29618,12 @@ def __init__(
         :paramtype overwrite_existing_domain: bool
         """
         super(SslConfiguration, self).__init__(**kwargs)
-        self.status = kwargs.get('status', None)
-        self.cert = kwargs.get('cert', None)
-        self.key = kwargs.get('key', None)
-        self.cname = kwargs.get('cname', None)
-        self.leaf_domain_label = kwargs.get('leaf_domain_label', None)
-        self.overwrite_existing_domain = kwargs.get('overwrite_existing_domain', None)
+        self.status = kwargs.get("status", None)
+        self.cert = kwargs.get("cert", None)
+        self.key = kwargs.get("key", None)
+        self.cname = kwargs.get("cname", None)
+        self.leaf_domain_label = kwargs.get("leaf_domain_label", None)
+        self.overwrite_existing_domain = kwargs.get("overwrite_existing_domain", None)
 
 
 class StackEnsembleSettings(msrest.serialization.Model):
@@ -31390,15 +29645,12 @@ class StackEnsembleSettings(msrest.serialization.Model):
     """
 
     _attribute_map = {
-        'stack_meta_learner_k_wargs': {'key': 'stackMetaLearnerKWargs', 'type': 'object'},
-        'stack_meta_learner_train_percentage': {'key': 'stackMetaLearnerTrainPercentage', 'type': 'float'},
-        'stack_meta_learner_type': {'key': 'stackMetaLearnerType', 'type': 'str'},
+        "stack_meta_learner_k_wargs": {"key": "stackMetaLearnerKWargs", "type": "object"},
+        "stack_meta_learner_train_percentage": {"key": "stackMetaLearnerTrainPercentage", "type": "float"},
+        "stack_meta_learner_type": {"key": "stackMetaLearnerType", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword stack_meta_learner_k_wargs: Optional parameters to pass to the initializer of the
          meta-learner.
@@ -31415,9 +29667,9 @@ def __init__(
          ~azure.mgmt.machinelearningservices.models.StackMetaLearnerType
         """
         super(StackEnsembleSettings, self).__init__(**kwargs)
-        self.stack_meta_learner_k_wargs = kwargs.get('stack_meta_learner_k_wargs', None)
-        self.stack_meta_learner_train_percentage = kwargs.get('stack_meta_learner_train_percentage', 0.2)
-        self.stack_meta_learner_type = kwargs.get('stack_meta_learner_type', None)
+        self.stack_meta_learner_k_wargs = kwargs.get("stack_meta_learner_k_wargs", None)
+        self.stack_meta_learner_train_percentage = kwargs.get("stack_meta_learner_train_percentage", 0.2)
+        self.stack_meta_learner_type = kwargs.get("stack_meta_learner_type", None)
 
 
 class StaticInputData(MonitoringInputDataBase):
@@ -31448,28 +29700,25 @@ class StaticInputData(MonitoringInputDataBase):
     """
 
     _validation = {
-        'input_data_type': {'required': True},
-        'job_input_type': {'required': True},
-        'uri': {'required': True, 'min_length': 1, 'pattern': r'[a-zA-Z0-9_]'},
-        'window_end': {'required': True},
-        'window_start': {'required': True},
+        "input_data_type": {"required": True},
+        "job_input_type": {"required": True},
+        "uri": {"required": True, "min_length": 1, "pattern": r"[a-zA-Z0-9_]"},
+        "window_end": {"required": True},
+        "window_start": {"required": True},
     }
 
     _attribute_map = {
-        'columns': {'key': 'columns', 'type': '{str}'},
-        'data_context': {'key': 'dataContext', 'type': 'str'},
-        'input_data_type': {'key': 'inputDataType', 'type': 'str'},
-        'job_input_type': {'key': 'jobInputType', 'type': 'str'},
-        'uri': {'key': 'uri', 'type': 'str'},
-        'preprocessing_component_id': {'key': 'preprocessingComponentId', 'type': 'str'},
-        'window_end': {'key': 'windowEnd', 'type': 'iso-8601'},
-        'window_start': {'key': 'windowStart', 'type': 'iso-8601'},
+        "columns": {"key": "columns", "type": "{str}"},
+        "data_context": {"key": "dataContext", "type": "str"},
+        "input_data_type": {"key": "inputDataType", "type": "str"},
+        "job_input_type": {"key": "jobInputType", "type": "str"},
+        "uri": {"key": "uri", "type": "str"},
+        "preprocessing_component_id": {"key": "preprocessingComponentId", "type": "str"},
+        "window_end": {"key": "windowEnd", "type": "iso-8601"},
+        "window_start": {"key": "windowStart", "type": "iso-8601"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword columns: Mapping of column names to special uses.
         :paramtype columns: dict[str, str]
@@ -31490,10 +29739,10 @@ def __init__(
         :paramtype window_start: ~datetime.datetime
         """
         super(StaticInputData, self).__init__(**kwargs)
-        self.input_data_type = 'Static'  # type: str
-        self.preprocessing_component_id = kwargs.get('preprocessing_component_id', None)
-        self.window_end = kwargs['window_end']
-        self.window_start = kwargs['window_start']
+        self.input_data_type = "Static"  # type: str
+        self.preprocessing_component_id = kwargs.get("preprocessing_component_id", None)
+        self.window_end = kwargs["window_end"]
+        self.window_start = kwargs["window_start"]
 
 
 class StatusMessage(msrest.serialization.Model):
@@ -31513,25 +29762,21 @@ class StatusMessage(msrest.serialization.Model):
     """
 
     _validation = {
-        'code': {'readonly': True},
-        'created_date_time': {'readonly': True},
-        'level': {'readonly': True},
-        'message': {'readonly': True},
+        "code": {"readonly": True},
+        "created_date_time": {"readonly": True},
+        "level": {"readonly": True},
+        "message": {"readonly": True},
     }
 
     _attribute_map = {
-        'code': {'key': 'code', 'type': 'str'},
-        'created_date_time': {'key': 'createdDateTime', 'type': 'iso-8601'},
-        'level': {'key': 'level', 'type': 'str'},
-        'message': {'key': 'message', 'type': 'str'},
+        "code": {"key": "code", "type": "str"},
+        "created_date_time": {"key": "createdDateTime", "type": "iso-8601"},
+        "level": {"key": "level", "type": "str"},
+        "message": {"key": "message", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
-        """
-        """
+    def __init__(self, **kwargs):
+        """ """
         super(StatusMessage, self).__init__(**kwargs)
         self.code = None
         self.created_date_time = None
@@ -31553,14 +29798,11 @@ class StorageAccountDetails(msrest.serialization.Model):
     """
 
     _attribute_map = {
-        'system_created_storage_account': {'key': 'systemCreatedStorageAccount', 'type': 'SystemCreatedStorageAccount'},
-        'user_created_storage_account': {'key': 'userCreatedStorageAccount', 'type': 'UserCreatedStorageAccount'},
+        "system_created_storage_account": {"key": "systemCreatedStorageAccount", "type": "SystemCreatedStorageAccount"},
+        "user_created_storage_account": {"key": "userCreatedStorageAccount", "type": "UserCreatedStorageAccount"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword system_created_storage_account: Details of system created storage account to be used
          for the registry.
@@ -31572,8 +29814,8 @@ def __init__(
          ~azure.mgmt.machinelearningservices.models.UserCreatedStorageAccount
         """
         super(StorageAccountDetails, self).__init__(**kwargs)
-        self.system_created_storage_account = kwargs.get('system_created_storage_account', None)
-        self.user_created_storage_account = kwargs.get('user_created_storage_account', None)
+        self.system_created_storage_account = kwargs.get("system_created_storage_account", None)
+        self.user_created_storage_account = kwargs.get("user_created_storage_account", None)
 
 
 class SweepJob(JobBaseProperties):
@@ -31648,46 +29890,43 @@ class SweepJob(JobBaseProperties):
     """
 
     _validation = {
-        'job_type': {'required': True},
-        'status': {'readonly': True},
-        'objective': {'required': True},
-        'sampling_algorithm': {'required': True},
-        'search_space': {'required': True},
-        'trial': {'required': True},
-    }
-
-    _attribute_map = {
-        'description': {'key': 'description', 'type': 'str'},
-        'properties': {'key': 'properties', 'type': '{str}'},
-        'tags': {'key': 'tags', 'type': '{str}'},
-        'component_id': {'key': 'componentId', 'type': 'str'},
-        'compute_id': {'key': 'computeId', 'type': 'str'},
-        'display_name': {'key': 'displayName', 'type': 'str'},
-        'experiment_name': {'key': 'experimentName', 'type': 'str'},
-        'identity': {'key': 'identity', 'type': 'IdentityConfiguration'},
-        'is_archived': {'key': 'isArchived', 'type': 'bool'},
-        'job_type': {'key': 'jobType', 'type': 'str'},
-        'notification_setting': {'key': 'notificationSetting', 'type': 'NotificationSetting'},
-        'secrets_configuration': {'key': 'secretsConfiguration', 'type': '{SecretConfiguration}'},
-        'services': {'key': 'services', 'type': '{JobService}'},
-        'status': {'key': 'status', 'type': 'str'},
-        'component_configuration': {'key': 'componentConfiguration', 'type': 'ComponentConfiguration'},
-        'early_termination': {'key': 'earlyTermination', 'type': 'EarlyTerminationPolicy'},
-        'inputs': {'key': 'inputs', 'type': '{JobInput}'},
-        'limits': {'key': 'limits', 'type': 'SweepJobLimits'},
-        'objective': {'key': 'objective', 'type': 'Objective'},
-        'outputs': {'key': 'outputs', 'type': '{JobOutput}'},
-        'queue_settings': {'key': 'queueSettings', 'type': 'QueueSettings'},
-        'resources': {'key': 'resources', 'type': 'JobResourceConfiguration'},
-        'sampling_algorithm': {'key': 'samplingAlgorithm', 'type': 'SamplingAlgorithm'},
-        'search_space': {'key': 'searchSpace', 'type': 'object'},
-        'trial': {'key': 'trial', 'type': 'TrialComponent'},
-    }
-
-    def __init__(
-            self,
-            **kwargs
-    ):
+        "job_type": {"required": True},
+        "status": {"readonly": True},
+        "objective": {"required": True},
+        "sampling_algorithm": {"required": True},
+        "search_space": {"required": True},
+        "trial": {"required": True},
+    }
+
+    _attribute_map = {
+        "description": {"key": "description", "type": "str"},
+        "properties": {"key": "properties", "type": "{str}"},
+        "tags": {"key": "tags", "type": "{str}"},
+        "component_id": {"key": "componentId", "type": "str"},
+        "compute_id": {"key": "computeId", "type": "str"},
+        "display_name": {"key": "displayName", "type": "str"},
+        "experiment_name": {"key": "experimentName", "type": "str"},
+        "identity": {"key": "identity", "type": "IdentityConfiguration"},
+        "is_archived": {"key": "isArchived", "type": "bool"},
+        "job_type": {"key": "jobType", "type": "str"},
+        "notification_setting": {"key": "notificationSetting", "type": "NotificationSetting"},
+        "secrets_configuration": {"key": "secretsConfiguration", "type": "{SecretConfiguration}"},
+        "services": {"key": "services", "type": "{JobService}"},
+        "status": {"key": "status", "type": "str"},
+        "component_configuration": {"key": "componentConfiguration", "type": "ComponentConfiguration"},
+        "early_termination": {"key": "earlyTermination", "type": "EarlyTerminationPolicy"},
+        "inputs": {"key": "inputs", "type": "{JobInput}"},
+        "limits": {"key": "limits", "type": "SweepJobLimits"},
+        "objective": {"key": "objective", "type": "Objective"},
+        "outputs": {"key": "outputs", "type": "{JobOutput}"},
+        "queue_settings": {"key": "queueSettings", "type": "QueueSettings"},
+        "resources": {"key": "resources", "type": "JobResourceConfiguration"},
+        "sampling_algorithm": {"key": "samplingAlgorithm", "type": "SamplingAlgorithm"},
+        "search_space": {"key": "searchSpace", "type": "object"},
+        "trial": {"key": "trial", "type": "TrialComponent"},
+    }
+
+    def __init__(self, **kwargs):
         """
         :keyword description: The asset description text.
         :paramtype description: str
@@ -31745,18 +29984,18 @@ def __init__(
         :paramtype trial: ~azure.mgmt.machinelearningservices.models.TrialComponent
         """
         super(SweepJob, self).__init__(**kwargs)
-        self.job_type = 'Sweep'  # type: str
-        self.component_configuration = kwargs.get('component_configuration', None)
-        self.early_termination = kwargs.get('early_termination', None)
-        self.inputs = kwargs.get('inputs', None)
-        self.limits = kwargs.get('limits', None)
-        self.objective = kwargs['objective']
-        self.outputs = kwargs.get('outputs', None)
-        self.queue_settings = kwargs.get('queue_settings', None)
-        self.resources = kwargs.get('resources', None)
-        self.sampling_algorithm = kwargs['sampling_algorithm']
-        self.search_space = kwargs['search_space']
-        self.trial = kwargs['trial']
+        self.job_type = "Sweep"  # type: str
+        self.component_configuration = kwargs.get("component_configuration", None)
+        self.early_termination = kwargs.get("early_termination", None)
+        self.inputs = kwargs.get("inputs", None)
+        self.limits = kwargs.get("limits", None)
+        self.objective = kwargs["objective"]
+        self.outputs = kwargs.get("outputs", None)
+        self.queue_settings = kwargs.get("queue_settings", None)
+        self.resources = kwargs.get("resources", None)
+        self.sampling_algorithm = kwargs["sampling_algorithm"]
+        self.search_space = kwargs["search_space"]
+        self.trial = kwargs["trial"]
 
 
 class SweepJobLimits(JobLimits):
@@ -31779,21 +30018,18 @@ class SweepJobLimits(JobLimits):
     """
 
     _validation = {
-        'job_limits_type': {'required': True},
+        "job_limits_type": {"required": True},
     }
 
     _attribute_map = {
-        'job_limits_type': {'key': 'jobLimitsType', 'type': 'str'},
-        'timeout': {'key': 'timeout', 'type': 'duration'},
-        'max_concurrent_trials': {'key': 'maxConcurrentTrials', 'type': 'int'},
-        'max_total_trials': {'key': 'maxTotalTrials', 'type': 'int'},
-        'trial_timeout': {'key': 'trialTimeout', 'type': 'duration'},
+        "job_limits_type": {"key": "jobLimitsType", "type": "str"},
+        "timeout": {"key": "timeout", "type": "duration"},
+        "max_concurrent_trials": {"key": "maxConcurrentTrials", "type": "int"},
+        "max_total_trials": {"key": "maxTotalTrials", "type": "int"},
+        "trial_timeout": {"key": "trialTimeout", "type": "duration"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword timeout: The max run duration in ISO 8601 format, after which the job will be
          cancelled. Only supports duration with precision as low as Seconds.
@@ -31806,10 +30042,10 @@ def __init__(
         :paramtype trial_timeout: ~datetime.timedelta
         """
         super(SweepJobLimits, self).__init__(**kwargs)
-        self.job_limits_type = 'Sweep'  # type: str
-        self.max_concurrent_trials = kwargs.get('max_concurrent_trials', None)
-        self.max_total_trials = kwargs.get('max_total_trials', None)
-        self.trial_timeout = kwargs.get('trial_timeout', None)
+        self.job_limits_type = "Sweep"  # type: str
+        self.max_concurrent_trials = kwargs.get("max_concurrent_trials", None)
+        self.max_total_trials = kwargs.get("max_total_trials", None)
+        self.trial_timeout = kwargs.get("trial_timeout", None)
 
 
 class SynapseSpark(Compute):
@@ -31851,32 +30087,29 @@ class SynapseSpark(Compute):
     """
 
     _validation = {
-        'compute_type': {'required': True},
-        'provisioning_state': {'readonly': True},
-        'created_on': {'readonly': True},
-        'modified_on': {'readonly': True},
-        'provisioning_errors': {'readonly': True},
-        'is_attached_compute': {'readonly': True},
+        "compute_type": {"required": True},
+        "provisioning_state": {"readonly": True},
+        "created_on": {"readonly": True},
+        "modified_on": {"readonly": True},
+        "provisioning_errors": {"readonly": True},
+        "is_attached_compute": {"readonly": True},
     }
 
     _attribute_map = {
-        'compute_type': {'key': 'computeType', 'type': 'str'},
-        'compute_location': {'key': 'computeLocation', 'type': 'str'},
-        'provisioning_state': {'key': 'provisioningState', 'type': 'str'},
-        'description': {'key': 'description', 'type': 'str'},
-        'created_on': {'key': 'createdOn', 'type': 'iso-8601'},
-        'modified_on': {'key': 'modifiedOn', 'type': 'iso-8601'},
-        'resource_id': {'key': 'resourceId', 'type': 'str'},
-        'provisioning_errors': {'key': 'provisioningErrors', 'type': '[ErrorResponse]'},
-        'is_attached_compute': {'key': 'isAttachedCompute', 'type': 'bool'},
-        'disable_local_auth': {'key': 'disableLocalAuth', 'type': 'bool'},
-        'properties': {'key': 'properties', 'type': 'SynapseSparkProperties'},
+        "compute_type": {"key": "computeType", "type": "str"},
+        "compute_location": {"key": "computeLocation", "type": "str"},
+        "provisioning_state": {"key": "provisioningState", "type": "str"},
+        "description": {"key": "description", "type": "str"},
+        "created_on": {"key": "createdOn", "type": "iso-8601"},
+        "modified_on": {"key": "modifiedOn", "type": "iso-8601"},
+        "resource_id": {"key": "resourceId", "type": "str"},
+        "provisioning_errors": {"key": "provisioningErrors", "type": "[ErrorResponse]"},
+        "is_attached_compute": {"key": "isAttachedCompute", "type": "bool"},
+        "disable_local_auth": {"key": "disableLocalAuth", "type": "bool"},
+        "properties": {"key": "properties", "type": "SynapseSparkProperties"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword compute_location: Location for the underlying compute.
         :paramtype compute_location: str
@@ -31891,8 +30124,8 @@ def __init__(
         :paramtype properties: ~azure.mgmt.machinelearningservices.models.SynapseSparkProperties
         """
         super(SynapseSpark, self).__init__(**kwargs)
-        self.compute_type = 'SynapseSpark'  # type: str
-        self.properties = kwargs.get('properties', None)
+        self.compute_type = "SynapseSpark"  # type: str
+        self.properties = kwargs.get("properties", None)
 
 
 class SynapseSparkProperties(msrest.serialization.Model):
@@ -31921,22 +30154,19 @@ class SynapseSparkProperties(msrest.serialization.Model):
     """
 
     _attribute_map = {
-        'auto_scale_properties': {'key': 'autoScaleProperties', 'type': 'AutoScaleProperties'},
-        'auto_pause_properties': {'key': 'autoPauseProperties', 'type': 'AutoPauseProperties'},
-        'spark_version': {'key': 'sparkVersion', 'type': 'str'},
-        'node_count': {'key': 'nodeCount', 'type': 'int'},
-        'node_size': {'key': 'nodeSize', 'type': 'str'},
-        'node_size_family': {'key': 'nodeSizeFamily', 'type': 'str'},
-        'subscription_id': {'key': 'subscriptionId', 'type': 'str'},
-        'resource_group': {'key': 'resourceGroup', 'type': 'str'},
-        'workspace_name': {'key': 'workspaceName', 'type': 'str'},
-        'pool_name': {'key': 'poolName', 'type': 'str'},
+        "auto_scale_properties": {"key": "autoScaleProperties", "type": "AutoScaleProperties"},
+        "auto_pause_properties": {"key": "autoPauseProperties", "type": "AutoPauseProperties"},
+        "spark_version": {"key": "sparkVersion", "type": "str"},
+        "node_count": {"key": "nodeCount", "type": "int"},
+        "node_size": {"key": "nodeSize", "type": "str"},
+        "node_size_family": {"key": "nodeSizeFamily", "type": "str"},
+        "subscription_id": {"key": "subscriptionId", "type": "str"},
+        "resource_group": {"key": "resourceGroup", "type": "str"},
+        "workspace_name": {"key": "workspaceName", "type": "str"},
+        "pool_name": {"key": "poolName", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword auto_scale_properties: Auto scale properties.
         :paramtype auto_scale_properties:
@@ -31962,16 +30192,16 @@ def __init__(
         :paramtype pool_name: str
         """
         super(SynapseSparkProperties, self).__init__(**kwargs)
-        self.auto_scale_properties = kwargs.get('auto_scale_properties', None)
-        self.auto_pause_properties = kwargs.get('auto_pause_properties', None)
-        self.spark_version = kwargs.get('spark_version', None)
-        self.node_count = kwargs.get('node_count', None)
-        self.node_size = kwargs.get('node_size', None)
-        self.node_size_family = kwargs.get('node_size_family', None)
-        self.subscription_id = kwargs.get('subscription_id', None)
-        self.resource_group = kwargs.get('resource_group', None)
-        self.workspace_name = kwargs.get('workspace_name', None)
-        self.pool_name = kwargs.get('pool_name', None)
+        self.auto_scale_properties = kwargs.get("auto_scale_properties", None)
+        self.auto_pause_properties = kwargs.get("auto_pause_properties", None)
+        self.spark_version = kwargs.get("spark_version", None)
+        self.node_count = kwargs.get("node_count", None)
+        self.node_size = kwargs.get("node_size", None)
+        self.node_size_family = kwargs.get("node_size_family", None)
+        self.subscription_id = kwargs.get("subscription_id", None)
+        self.resource_group = kwargs.get("resource_group", None)
+        self.workspace_name = kwargs.get("workspace_name", None)
+        self.pool_name = kwargs.get("pool_name", None)
 
 
 class SystemCreatedAcrAccount(msrest.serialization.Model):
@@ -31986,15 +30216,12 @@ class SystemCreatedAcrAccount(msrest.serialization.Model):
     """
 
     _attribute_map = {
-        'acr_account_name': {'key': 'acrAccountName', 'type': 'str'},
-        'acr_account_sku': {'key': 'acrAccountSku', 'type': 'str'},
-        'arm_resource_id': {'key': 'armResourceId', 'type': 'ArmResourceId'},
+        "acr_account_name": {"key": "acrAccountName", "type": "str"},
+        "acr_account_sku": {"key": "acrAccountSku", "type": "str"},
+        "arm_resource_id": {"key": "armResourceId", "type": "ArmResourceId"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword acr_account_name: Name of the ACR account.
         :paramtype acr_account_name: str
@@ -32004,9 +30231,9 @@ def __init__(
         :paramtype arm_resource_id: ~azure.mgmt.machinelearningservices.models.ArmResourceId
         """
         super(SystemCreatedAcrAccount, self).__init__(**kwargs)
-        self.acr_account_name = kwargs.get('acr_account_name', None)
-        self.acr_account_sku = kwargs.get('acr_account_sku', None)
-        self.arm_resource_id = kwargs.get('arm_resource_id', None)
+        self.acr_account_name = kwargs.get("acr_account_name", None)
+        self.acr_account_sku = kwargs.get("acr_account_sku", None)
+        self.arm_resource_id = kwargs.get("arm_resource_id", None)
 
 
 class SystemCreatedStorageAccount(msrest.serialization.Model):
@@ -32033,17 +30260,14 @@ class SystemCreatedStorageAccount(msrest.serialization.Model):
     """
 
     _attribute_map = {
-        'allow_blob_public_access': {'key': 'allowBlobPublicAccess', 'type': 'bool'},
-        'arm_resource_id': {'key': 'armResourceId', 'type': 'ArmResourceId'},
-        'storage_account_hns_enabled': {'key': 'storageAccountHnsEnabled', 'type': 'bool'},
-        'storage_account_name': {'key': 'storageAccountName', 'type': 'str'},
-        'storage_account_type': {'key': 'storageAccountType', 'type': 'str'},
+        "allow_blob_public_access": {"key": "allowBlobPublicAccess", "type": "bool"},
+        "arm_resource_id": {"key": "armResourceId", "type": "ArmResourceId"},
+        "storage_account_hns_enabled": {"key": "storageAccountHnsEnabled", "type": "bool"},
+        "storage_account_name": {"key": "storageAccountName", "type": "str"},
+        "storage_account_type": {"key": "storageAccountType", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword allow_blob_public_access: Public blob access allowed.
         :paramtype allow_blob_public_access: bool
@@ -32065,11 +30289,11 @@ def __init__(
         :paramtype storage_account_type: str
         """
         super(SystemCreatedStorageAccount, self).__init__(**kwargs)
-        self.allow_blob_public_access = kwargs.get('allow_blob_public_access', None)
-        self.arm_resource_id = kwargs.get('arm_resource_id', None)
-        self.storage_account_hns_enabled = kwargs.get('storage_account_hns_enabled', None)
-        self.storage_account_name = kwargs.get('storage_account_name', None)
-        self.storage_account_type = kwargs.get('storage_account_type', None)
+        self.allow_blob_public_access = kwargs.get("allow_blob_public_access", None)
+        self.arm_resource_id = kwargs.get("arm_resource_id", None)
+        self.storage_account_hns_enabled = kwargs.get("storage_account_hns_enabled", None)
+        self.storage_account_name = kwargs.get("storage_account_name", None)
+        self.storage_account_type = kwargs.get("storage_account_type", None)
 
 
 class SystemData(msrest.serialization.Model):
@@ -32092,18 +30316,15 @@ class SystemData(msrest.serialization.Model):
     """
 
     _attribute_map = {
-        'created_by': {'key': 'createdBy', 'type': 'str'},
-        'created_by_type': {'key': 'createdByType', 'type': 'str'},
-        'created_at': {'key': 'createdAt', 'type': 'iso-8601'},
-        'last_modified_by': {'key': 'lastModifiedBy', 'type': 'str'},
-        'last_modified_by_type': {'key': 'lastModifiedByType', 'type': 'str'},
-        'last_modified_at': {'key': 'lastModifiedAt', 'type': 'iso-8601'},
+        "created_by": {"key": "createdBy", "type": "str"},
+        "created_by_type": {"key": "createdByType", "type": "str"},
+        "created_at": {"key": "createdAt", "type": "iso-8601"},
+        "last_modified_by": {"key": "lastModifiedBy", "type": "str"},
+        "last_modified_by_type": {"key": "lastModifiedByType", "type": "str"},
+        "last_modified_at": {"key": "lastModifiedAt", "type": "iso-8601"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword created_by: The identity that created the resource.
         :paramtype created_by: str
@@ -32122,12 +30343,12 @@ def __init__(
         :paramtype last_modified_at: ~datetime.datetime
         """
         super(SystemData, self).__init__(**kwargs)
-        self.created_by = kwargs.get('created_by', None)
-        self.created_by_type = kwargs.get('created_by_type', None)
-        self.created_at = kwargs.get('created_at', None)
-        self.last_modified_by = kwargs.get('last_modified_by', None)
-        self.last_modified_by_type = kwargs.get('last_modified_by_type', None)
-        self.last_modified_at = kwargs.get('last_modified_at', None)
+        self.created_by = kwargs.get("created_by", None)
+        self.created_by_type = kwargs.get("created_by_type", None)
+        self.created_at = kwargs.get("created_at", None)
+        self.last_modified_by = kwargs.get("last_modified_by", None)
+        self.last_modified_by_type = kwargs.get("last_modified_by_type", None)
+        self.last_modified_at = kwargs.get("last_modified_at", None)
 
 
 class SystemService(msrest.serialization.Model):
@@ -32144,23 +30365,19 @@ class SystemService(msrest.serialization.Model):
     """
 
     _validation = {
-        'system_service_type': {'readonly': True},
-        'public_ip_address': {'readonly': True},
-        'version': {'readonly': True},
+        "system_service_type": {"readonly": True},
+        "public_ip_address": {"readonly": True},
+        "version": {"readonly": True},
     }
 
     _attribute_map = {
-        'system_service_type': {'key': 'systemServiceType', 'type': 'str'},
-        'public_ip_address': {'key': 'publicIpAddress', 'type': 'str'},
-        'version': {'key': 'version', 'type': 'str'},
+        "system_service_type": {"key": "systemServiceType", "type": "str"},
+        "public_ip_address": {"key": "publicIpAddress", "type": "str"},
+        "version": {"key": "version", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
-        """
-        """
+    def __init__(self, **kwargs):
+        """ """
         super(SystemService, self).__init__(**kwargs)
         self.system_service_type = None
         self.public_ip_address = None
@@ -32215,32 +30432,29 @@ class TableFixedParameters(msrest.serialization.Model):
     """
 
     _attribute_map = {
-        'booster': {'key': 'booster', 'type': 'str'},
-        'boosting_type': {'key': 'boostingType', 'type': 'str'},
-        'grow_policy': {'key': 'growPolicy', 'type': 'str'},
-        'learning_rate': {'key': 'learningRate', 'type': 'float'},
-        'max_bin': {'key': 'maxBin', 'type': 'int'},
-        'max_depth': {'key': 'maxDepth', 'type': 'int'},
-        'max_leaves': {'key': 'maxLeaves', 'type': 'int'},
-        'min_data_in_leaf': {'key': 'minDataInLeaf', 'type': 'int'},
-        'min_split_gain': {'key': 'minSplitGain', 'type': 'float'},
-        'model_name': {'key': 'modelName', 'type': 'str'},
-        'n_estimators': {'key': 'nEstimators', 'type': 'int'},
-        'num_leaves': {'key': 'numLeaves', 'type': 'int'},
-        'preprocessor_name': {'key': 'preprocessorName', 'type': 'str'},
-        'reg_alpha': {'key': 'regAlpha', 'type': 'float'},
-        'reg_lambda': {'key': 'regLambda', 'type': 'float'},
-        'subsample': {'key': 'subsample', 'type': 'float'},
-        'subsample_freq': {'key': 'subsampleFreq', 'type': 'float'},
-        'tree_method': {'key': 'treeMethod', 'type': 'str'},
-        'with_mean': {'key': 'withMean', 'type': 'bool'},
-        'with_std': {'key': 'withStd', 'type': 'bool'},
-    }
-
-    def __init__(
-            self,
-            **kwargs
-    ):
+        "booster": {"key": "booster", "type": "str"},
+        "boosting_type": {"key": "boostingType", "type": "str"},
+        "grow_policy": {"key": "growPolicy", "type": "str"},
+        "learning_rate": {"key": "learningRate", "type": "float"},
+        "max_bin": {"key": "maxBin", "type": "int"},
+        "max_depth": {"key": "maxDepth", "type": "int"},
+        "max_leaves": {"key": "maxLeaves", "type": "int"},
+        "min_data_in_leaf": {"key": "minDataInLeaf", "type": "int"},
+        "min_split_gain": {"key": "minSplitGain", "type": "float"},
+        "model_name": {"key": "modelName", "type": "str"},
+        "n_estimators": {"key": "nEstimators", "type": "int"},
+        "num_leaves": {"key": "numLeaves", "type": "int"},
+        "preprocessor_name": {"key": "preprocessorName", "type": "str"},
+        "reg_alpha": {"key": "regAlpha", "type": "float"},
+        "reg_lambda": {"key": "regLambda", "type": "float"},
+        "subsample": {"key": "subsample", "type": "float"},
+        "subsample_freq": {"key": "subsampleFreq", "type": "float"},
+        "tree_method": {"key": "treeMethod", "type": "str"},
+        "with_mean": {"key": "withMean", "type": "bool"},
+        "with_std": {"key": "withStd", "type": "bool"},
+    }
+
+    def __init__(self, **kwargs):
         """
         :keyword booster: Specify the boosting type, e.g gbdt for XGBoost.
         :paramtype booster: str
@@ -32286,26 +30500,26 @@ def __init__(
         :paramtype with_std: bool
         """
         super(TableFixedParameters, self).__init__(**kwargs)
-        self.booster = kwargs.get('booster', None)
-        self.boosting_type = kwargs.get('boosting_type', None)
-        self.grow_policy = kwargs.get('grow_policy', None)
-        self.learning_rate = kwargs.get('learning_rate', None)
-        self.max_bin = kwargs.get('max_bin', None)
-        self.max_depth = kwargs.get('max_depth', None)
-        self.max_leaves = kwargs.get('max_leaves', None)
-        self.min_data_in_leaf = kwargs.get('min_data_in_leaf', None)
-        self.min_split_gain = kwargs.get('min_split_gain', None)
-        self.model_name = kwargs.get('model_name', None)
-        self.n_estimators = kwargs.get('n_estimators', None)
-        self.num_leaves = kwargs.get('num_leaves', None)
-        self.preprocessor_name = kwargs.get('preprocessor_name', None)
-        self.reg_alpha = kwargs.get('reg_alpha', None)
-        self.reg_lambda = kwargs.get('reg_lambda', None)
-        self.subsample = kwargs.get('subsample', None)
-        self.subsample_freq = kwargs.get('subsample_freq', None)
-        self.tree_method = kwargs.get('tree_method', None)
-        self.with_mean = kwargs.get('with_mean', False)
-        self.with_std = kwargs.get('with_std', False)
+        self.booster = kwargs.get("booster", None)
+        self.boosting_type = kwargs.get("boosting_type", None)
+        self.grow_policy = kwargs.get("grow_policy", None)
+        self.learning_rate = kwargs.get("learning_rate", None)
+        self.max_bin = kwargs.get("max_bin", None)
+        self.max_depth = kwargs.get("max_depth", None)
+        self.max_leaves = kwargs.get("max_leaves", None)
+        self.min_data_in_leaf = kwargs.get("min_data_in_leaf", None)
+        self.min_split_gain = kwargs.get("min_split_gain", None)
+        self.model_name = kwargs.get("model_name", None)
+        self.n_estimators = kwargs.get("n_estimators", None)
+        self.num_leaves = kwargs.get("num_leaves", None)
+        self.preprocessor_name = kwargs.get("preprocessor_name", None)
+        self.reg_alpha = kwargs.get("reg_alpha", None)
+        self.reg_lambda = kwargs.get("reg_lambda", None)
+        self.subsample = kwargs.get("subsample", None)
+        self.subsample_freq = kwargs.get("subsample_freq", None)
+        self.tree_method = kwargs.get("tree_method", None)
+        self.with_mean = kwargs.get("with_mean", False)
+        self.with_std = kwargs.get("with_std", False)
 
 
 class TableParameterSubspace(msrest.serialization.Model):
@@ -32356,32 +30570,29 @@ class TableParameterSubspace(msrest.serialization.Model):
     """
 
     _attribute_map = {
-        'booster': {'key': 'booster', 'type': 'str'},
-        'boosting_type': {'key': 'boostingType', 'type': 'str'},
-        'grow_policy': {'key': 'growPolicy', 'type': 'str'},
-        'learning_rate': {'key': 'learningRate', 'type': 'str'},
-        'max_bin': {'key': 'maxBin', 'type': 'str'},
-        'max_depth': {'key': 'maxDepth', 'type': 'str'},
-        'max_leaves': {'key': 'maxLeaves', 'type': 'str'},
-        'min_data_in_leaf': {'key': 'minDataInLeaf', 'type': 'str'},
-        'min_split_gain': {'key': 'minSplitGain', 'type': 'str'},
-        'model_name': {'key': 'modelName', 'type': 'str'},
-        'n_estimators': {'key': 'nEstimators', 'type': 'str'},
-        'num_leaves': {'key': 'numLeaves', 'type': 'str'},
-        'preprocessor_name': {'key': 'preprocessorName', 'type': 'str'},
-        'reg_alpha': {'key': 'regAlpha', 'type': 'str'},
-        'reg_lambda': {'key': 'regLambda', 'type': 'str'},
-        'subsample': {'key': 'subsample', 'type': 'str'},
-        'subsample_freq': {'key': 'subsampleFreq', 'type': 'str'},
-        'tree_method': {'key': 'treeMethod', 'type': 'str'},
-        'with_mean': {'key': 'withMean', 'type': 'str'},
-        'with_std': {'key': 'withStd', 'type': 'str'},
-    }
-
-    def __init__(
-            self,
-            **kwargs
-    ):
+        "booster": {"key": "booster", "type": "str"},
+        "boosting_type": {"key": "boostingType", "type": "str"},
+        "grow_policy": {"key": "growPolicy", "type": "str"},
+        "learning_rate": {"key": "learningRate", "type": "str"},
+        "max_bin": {"key": "maxBin", "type": "str"},
+        "max_depth": {"key": "maxDepth", "type": "str"},
+        "max_leaves": {"key": "maxLeaves", "type": "str"},
+        "min_data_in_leaf": {"key": "minDataInLeaf", "type": "str"},
+        "min_split_gain": {"key": "minSplitGain", "type": "str"},
+        "model_name": {"key": "modelName", "type": "str"},
+        "n_estimators": {"key": "nEstimators", "type": "str"},
+        "num_leaves": {"key": "numLeaves", "type": "str"},
+        "preprocessor_name": {"key": "preprocessorName", "type": "str"},
+        "reg_alpha": {"key": "regAlpha", "type": "str"},
+        "reg_lambda": {"key": "regLambda", "type": "str"},
+        "subsample": {"key": "subsample", "type": "str"},
+        "subsample_freq": {"key": "subsampleFreq", "type": "str"},
+        "tree_method": {"key": "treeMethod", "type": "str"},
+        "with_mean": {"key": "withMean", "type": "str"},
+        "with_std": {"key": "withStd", "type": "str"},
+    }
+
+    def __init__(self, **kwargs):
         """
         :keyword booster: Specify the boosting type, e.g gbdt for XGBoost.
         :paramtype booster: str
@@ -32427,26 +30638,26 @@ def __init__(
         :paramtype with_std: str
         """
         super(TableParameterSubspace, self).__init__(**kwargs)
-        self.booster = kwargs.get('booster', None)
-        self.boosting_type = kwargs.get('boosting_type', None)
-        self.grow_policy = kwargs.get('grow_policy', None)
-        self.learning_rate = kwargs.get('learning_rate', None)
-        self.max_bin = kwargs.get('max_bin', None)
-        self.max_depth = kwargs.get('max_depth', None)
-        self.max_leaves = kwargs.get('max_leaves', None)
-        self.min_data_in_leaf = kwargs.get('min_data_in_leaf', None)
-        self.min_split_gain = kwargs.get('min_split_gain', None)
-        self.model_name = kwargs.get('model_name', None)
-        self.n_estimators = kwargs.get('n_estimators', None)
-        self.num_leaves = kwargs.get('num_leaves', None)
-        self.preprocessor_name = kwargs.get('preprocessor_name', None)
-        self.reg_alpha = kwargs.get('reg_alpha', None)
-        self.reg_lambda = kwargs.get('reg_lambda', None)
-        self.subsample = kwargs.get('subsample', None)
-        self.subsample_freq = kwargs.get('subsample_freq', None)
-        self.tree_method = kwargs.get('tree_method', None)
-        self.with_mean = kwargs.get('with_mean', None)
-        self.with_std = kwargs.get('with_std', None)
+        self.booster = kwargs.get("booster", None)
+        self.boosting_type = kwargs.get("boosting_type", None)
+        self.grow_policy = kwargs.get("grow_policy", None)
+        self.learning_rate = kwargs.get("learning_rate", None)
+        self.max_bin = kwargs.get("max_bin", None)
+        self.max_depth = kwargs.get("max_depth", None)
+        self.max_leaves = kwargs.get("max_leaves", None)
+        self.min_data_in_leaf = kwargs.get("min_data_in_leaf", None)
+        self.min_split_gain = kwargs.get("min_split_gain", None)
+        self.model_name = kwargs.get("model_name", None)
+        self.n_estimators = kwargs.get("n_estimators", None)
+        self.num_leaves = kwargs.get("num_leaves", None)
+        self.preprocessor_name = kwargs.get("preprocessor_name", None)
+        self.reg_alpha = kwargs.get("reg_alpha", None)
+        self.reg_lambda = kwargs.get("reg_lambda", None)
+        self.subsample = kwargs.get("subsample", None)
+        self.subsample_freq = kwargs.get("subsample_freq", None)
+        self.tree_method = kwargs.get("tree_method", None)
+        self.with_mean = kwargs.get("with_mean", None)
+        self.with_std = kwargs.get("with_std", None)
 
 
 class TableSweepSettings(msrest.serialization.Model):
@@ -32463,18 +30674,15 @@ class TableSweepSettings(msrest.serialization.Model):
     """
 
     _validation = {
-        'sampling_algorithm': {'required': True},
+        "sampling_algorithm": {"required": True},
     }
 
     _attribute_map = {
-        'early_termination': {'key': 'earlyTermination', 'type': 'EarlyTerminationPolicy'},
-        'sampling_algorithm': {'key': 'samplingAlgorithm', 'type': 'str'},
+        "early_termination": {"key": "earlyTermination", "type": "EarlyTerminationPolicy"},
+        "sampling_algorithm": {"key": "samplingAlgorithm", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword early_termination: Type of early termination policy for the sweeping job.
         :paramtype early_termination: ~azure.mgmt.machinelearningservices.models.EarlyTerminationPolicy
@@ -32484,8 +30692,8 @@ def __init__(
          ~azure.mgmt.machinelearningservices.models.SamplingAlgorithmType
         """
         super(TableSweepSettings, self).__init__(**kwargs)
-        self.early_termination = kwargs.get('early_termination', None)
-        self.sampling_algorithm = kwargs['sampling_algorithm']
+        self.early_termination = kwargs.get("early_termination", None)
+        self.sampling_algorithm = kwargs["sampling_algorithm"]
 
 
 class TableVerticalFeaturizationSettings(FeaturizationSettings):
@@ -32515,18 +30723,15 @@ class TableVerticalFeaturizationSettings(FeaturizationSettings):
     """
 
     _attribute_map = {
-        'dataset_language': {'key': 'datasetLanguage', 'type': 'str'},
-        'blocked_transformers': {'key': 'blockedTransformers', 'type': '[str]'},
-        'column_name_and_types': {'key': 'columnNameAndTypes', 'type': '{str}'},
-        'enable_dnn_featurization': {'key': 'enableDnnFeaturization', 'type': 'bool'},
-        'mode': {'key': 'mode', 'type': 'str'},
-        'transformer_params': {'key': 'transformerParams', 'type': '{[ColumnTransformer]}'},
+        "dataset_language": {"key": "datasetLanguage", "type": "str"},
+        "blocked_transformers": {"key": "blockedTransformers", "type": "[str]"},
+        "column_name_and_types": {"key": "columnNameAndTypes", "type": "{str}"},
+        "enable_dnn_featurization": {"key": "enableDnnFeaturization", "type": "bool"},
+        "mode": {"key": "mode", "type": "str"},
+        "transformer_params": {"key": "transformerParams", "type": "{[ColumnTransformer]}"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword dataset_language: Dataset language, useful for the text data.
         :paramtype dataset_language: str
@@ -32551,11 +30756,11 @@ def __init__(
          list[~azure.mgmt.machinelearningservices.models.ColumnTransformer]]
         """
         super(TableVerticalFeaturizationSettings, self).__init__(**kwargs)
-        self.blocked_transformers = kwargs.get('blocked_transformers', None)
-        self.column_name_and_types = kwargs.get('column_name_and_types', None)
-        self.enable_dnn_featurization = kwargs.get('enable_dnn_featurization', False)
-        self.mode = kwargs.get('mode', None)
-        self.transformer_params = kwargs.get('transformer_params', None)
+        self.blocked_transformers = kwargs.get("blocked_transformers", None)
+        self.column_name_and_types = kwargs.get("column_name_and_types", None)
+        self.enable_dnn_featurization = kwargs.get("enable_dnn_featurization", False)
+        self.mode = kwargs.get("mode", None)
+        self.transformer_params = kwargs.get("transformer_params", None)
 
 
 class TableVerticalLimitSettings(msrest.serialization.Model):
@@ -32585,22 +30790,19 @@ class TableVerticalLimitSettings(msrest.serialization.Model):
     """
 
     _attribute_map = {
-        'enable_early_termination': {'key': 'enableEarlyTermination', 'type': 'bool'},
-        'exit_score': {'key': 'exitScore', 'type': 'float'},
-        'max_concurrent_trials': {'key': 'maxConcurrentTrials', 'type': 'int'},
-        'max_cores_per_trial': {'key': 'maxCoresPerTrial', 'type': 'int'},
-        'max_nodes': {'key': 'maxNodes', 'type': 'int'},
-        'max_trials': {'key': 'maxTrials', 'type': 'int'},
-        'sweep_concurrent_trials': {'key': 'sweepConcurrentTrials', 'type': 'int'},
-        'sweep_trials': {'key': 'sweepTrials', 'type': 'int'},
-        'timeout': {'key': 'timeout', 'type': 'duration'},
-        'trial_timeout': {'key': 'trialTimeout', 'type': 'duration'},
+        "enable_early_termination": {"key": "enableEarlyTermination", "type": "bool"},
+        "exit_score": {"key": "exitScore", "type": "float"},
+        "max_concurrent_trials": {"key": "maxConcurrentTrials", "type": "int"},
+        "max_cores_per_trial": {"key": "maxCoresPerTrial", "type": "int"},
+        "max_nodes": {"key": "maxNodes", "type": "int"},
+        "max_trials": {"key": "maxTrials", "type": "int"},
+        "sweep_concurrent_trials": {"key": "sweepConcurrentTrials", "type": "int"},
+        "sweep_trials": {"key": "sweepTrials", "type": "int"},
+        "timeout": {"key": "timeout", "type": "duration"},
+        "trial_timeout": {"key": "trialTimeout", "type": "duration"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword enable_early_termination: Enable early termination, determines whether or not if
          AutoMLJob will terminate early if there is no score improvement in last 20 iterations.
@@ -32626,16 +30828,16 @@ def __init__(
         :paramtype trial_timeout: ~datetime.timedelta
         """
         super(TableVerticalLimitSettings, self).__init__(**kwargs)
-        self.enable_early_termination = kwargs.get('enable_early_termination', True)
-        self.exit_score = kwargs.get('exit_score', None)
-        self.max_concurrent_trials = kwargs.get('max_concurrent_trials', 1)
-        self.max_cores_per_trial = kwargs.get('max_cores_per_trial', -1)
-        self.max_nodes = kwargs.get('max_nodes', 1)
-        self.max_trials = kwargs.get('max_trials', 1000)
-        self.sweep_concurrent_trials = kwargs.get('sweep_concurrent_trials', 0)
-        self.sweep_trials = kwargs.get('sweep_trials', 0)
-        self.timeout = kwargs.get('timeout', "PT6H")
-        self.trial_timeout = kwargs.get('trial_timeout', "PT30M")
+        self.enable_early_termination = kwargs.get("enable_early_termination", True)
+        self.exit_score = kwargs.get("exit_score", None)
+        self.max_concurrent_trials = kwargs.get("max_concurrent_trials", 1)
+        self.max_cores_per_trial = kwargs.get("max_cores_per_trial", -1)
+        self.max_nodes = kwargs.get("max_nodes", 1)
+        self.max_trials = kwargs.get("max_trials", 1000)
+        self.sweep_concurrent_trials = kwargs.get("sweep_concurrent_trials", 0)
+        self.sweep_trials = kwargs.get("sweep_trials", 0)
+        self.timeout = kwargs.get("timeout", "PT6H")
+        self.trial_timeout = kwargs.get("trial_timeout", "PT30M")
 
 
 class TargetUtilizationScaleSettings(OnlineScaleSettings):
@@ -32659,21 +30861,18 @@ class TargetUtilizationScaleSettings(OnlineScaleSettings):
     """
 
     _validation = {
-        'scale_type': {'required': True},
+        "scale_type": {"required": True},
     }
 
     _attribute_map = {
-        'scale_type': {'key': 'scaleType', 'type': 'str'},
-        'max_instances': {'key': 'maxInstances', 'type': 'int'},
-        'min_instances': {'key': 'minInstances', 'type': 'int'},
-        'polling_interval': {'key': 'pollingInterval', 'type': 'duration'},
-        'target_utilization_percentage': {'key': 'targetUtilizationPercentage', 'type': 'int'},
+        "scale_type": {"key": "scaleType", "type": "str"},
+        "max_instances": {"key": "maxInstances", "type": "int"},
+        "min_instances": {"key": "minInstances", "type": "int"},
+        "polling_interval": {"key": "pollingInterval", "type": "duration"},
+        "target_utilization_percentage": {"key": "targetUtilizationPercentage", "type": "int"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword max_instances: The maximum number of instances that the deployment can scale to. The
          quota will be reserved for max_instances.
@@ -32687,11 +30886,11 @@ def __init__(
         :paramtype target_utilization_percentage: int
         """
         super(TargetUtilizationScaleSettings, self).__init__(**kwargs)
-        self.scale_type = 'TargetUtilization'  # type: str
-        self.max_instances = kwargs.get('max_instances', 1)
-        self.min_instances = kwargs.get('min_instances', 1)
-        self.polling_interval = kwargs.get('polling_interval', "PT1S")
-        self.target_utilization_percentage = kwargs.get('target_utilization_percentage', 70)
+        self.scale_type = "TargetUtilization"  # type: str
+        self.max_instances = kwargs.get("max_instances", 1)
+        self.min_instances = kwargs.get("min_instances", 1)
+        self.polling_interval = kwargs.get("polling_interval", "PT1S")
+        self.target_utilization_percentage = kwargs.get("target_utilization_percentage", 70)
 
 
 class TensorFlow(DistributionConfiguration):
@@ -32710,19 +30909,16 @@ class TensorFlow(DistributionConfiguration):
     """
 
     _validation = {
-        'distribution_type': {'required': True},
+        "distribution_type": {"required": True},
     }
 
     _attribute_map = {
-        'distribution_type': {'key': 'distributionType', 'type': 'str'},
-        'parameter_server_count': {'key': 'parameterServerCount', 'type': 'int'},
-        'worker_count': {'key': 'workerCount', 'type': 'int'},
+        "distribution_type": {"key": "distributionType", "type": "str"},
+        "parameter_server_count": {"key": "parameterServerCount", "type": "int"},
+        "worker_count": {"key": "workerCount", "type": "int"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword parameter_server_count: Number of parameter server tasks.
         :paramtype parameter_server_count: int
@@ -32730,75 +30926,72 @@ def __init__(
         :paramtype worker_count: int
         """
         super(TensorFlow, self).__init__(**kwargs)
-        self.distribution_type = 'TensorFlow'  # type: str
-        self.parameter_server_count = kwargs.get('parameter_server_count', 0)
-        self.worker_count = kwargs.get('worker_count', None)
+        self.distribution_type = "TensorFlow"  # type: str
+        self.parameter_server_count = kwargs.get("parameter_server_count", 0)
+        self.worker_count = kwargs.get("worker_count", None)
 
 
 class TextClassification(AutoMLVertical, NlpVertical):
     """Text Classification task in AutoML NLP vertical.
-NLP - Natural Language Processing.
+    NLP - Natural Language Processing.
 
-    All required parameters must be populated in order to send to Azure.
+        All required parameters must be populated in order to send to Azure.
 
-    :ivar featurization_settings: Featurization inputs needed for AutoML job.
-    :vartype featurization_settings:
-     ~azure.mgmt.machinelearningservices.models.NlpVerticalFeaturizationSettings
-    :ivar fixed_parameters: Model/training parameters that will remain constant throughout
-     training.
-    :vartype fixed_parameters: ~azure.mgmt.machinelearningservices.models.NlpFixedParameters
-    :ivar limit_settings: Execution constraints for AutoMLJob.
-    :vartype limit_settings: ~azure.mgmt.machinelearningservices.models.NlpVerticalLimitSettings
-    :ivar search_space: Search space for sampling different combinations of models and their
-     hyperparameters.
-    :vartype search_space: list[~azure.mgmt.machinelearningservices.models.NlpParameterSubspace]
-    :ivar sweep_settings: Settings for model sweeping and hyperparameter tuning.
-    :vartype sweep_settings: ~azure.mgmt.machinelearningservices.models.NlpSweepSettings
-    :ivar validation_data: Validation data inputs.
-    :vartype validation_data: ~azure.mgmt.machinelearningservices.models.MLTableJobInput
-    :ivar log_verbosity: Log verbosity for the job. Possible values include: "NotSet", "Debug",
-     "Info", "Warning", "Error", "Critical".
-    :vartype log_verbosity: str or ~azure.mgmt.machinelearningservices.models.LogVerbosity
-    :ivar target_column_name: Target column name: This is prediction values column.
-     Also known as label column name in context of classification tasks.
-    :vartype target_column_name: str
-    :ivar task_type: Required. [Required] Task type for AutoMLJob.Constant filled by server.
-     Possible values include: "Classification", "Regression", "Forecasting", "ImageClassification",
-     "ImageClassificationMultilabel", "ImageObjectDetection", "ImageInstanceSegmentation",
-     "TextClassification", "TextClassificationMultilabel", "TextNER".
-    :vartype task_type: str or ~azure.mgmt.machinelearningservices.models.TaskType
-    :ivar training_data: Required. [Required] Training data input.
-    :vartype training_data: ~azure.mgmt.machinelearningservices.models.MLTableJobInput
-    :ivar primary_metric: Primary metric for Text-Classification task. Possible values include:
-     "AUCWeighted", "Accuracy", "NormMacroRecall", "AveragePrecisionScoreWeighted",
-     "PrecisionScoreWeighted".
-    :vartype primary_metric: str or
-     ~azure.mgmt.machinelearningservices.models.ClassificationPrimaryMetrics
+        :ivar featurization_settings: Featurization inputs needed for AutoML job.
+        :vartype featurization_settings:
+         ~azure.mgmt.machinelearningservices.models.NlpVerticalFeaturizationSettings
+        :ivar fixed_parameters: Model/training parameters that will remain constant throughout
+         training.
+        :vartype fixed_parameters: ~azure.mgmt.machinelearningservices.models.NlpFixedParameters
+        :ivar limit_settings: Execution constraints for AutoMLJob.
+        :vartype limit_settings: ~azure.mgmt.machinelearningservices.models.NlpVerticalLimitSettings
+        :ivar search_space: Search space for sampling different combinations of models and their
+         hyperparameters.
+        :vartype search_space: list[~azure.mgmt.machinelearningservices.models.NlpParameterSubspace]
+        :ivar sweep_settings: Settings for model sweeping and hyperparameter tuning.
+        :vartype sweep_settings: ~azure.mgmt.machinelearningservices.models.NlpSweepSettings
+        :ivar validation_data: Validation data inputs.
+        :vartype validation_data: ~azure.mgmt.machinelearningservices.models.MLTableJobInput
+        :ivar log_verbosity: Log verbosity for the job. Possible values include: "NotSet", "Debug",
+         "Info", "Warning", "Error", "Critical".
+        :vartype log_verbosity: str or ~azure.mgmt.machinelearningservices.models.LogVerbosity
+        :ivar target_column_name: Target column name: This is prediction values column.
+         Also known as label column name in context of classification tasks.
+        :vartype target_column_name: str
+        :ivar task_type: Required. [Required] Task type for AutoMLJob.Constant filled by server.
+         Possible values include: "Classification", "Regression", "Forecasting", "ImageClassification",
+         "ImageClassificationMultilabel", "ImageObjectDetection", "ImageInstanceSegmentation",
+         "TextClassification", "TextClassificationMultilabel", "TextNER".
+        :vartype task_type: str or ~azure.mgmt.machinelearningservices.models.TaskType
+        :ivar training_data: Required. [Required] Training data input.
+        :vartype training_data: ~azure.mgmt.machinelearningservices.models.MLTableJobInput
+        :ivar primary_metric: Primary metric for Text-Classification task. Possible values include:
+         "AUCWeighted", "Accuracy", "NormMacroRecall", "AveragePrecisionScoreWeighted",
+         "PrecisionScoreWeighted".
+        :vartype primary_metric: str or
+         ~azure.mgmt.machinelearningservices.models.ClassificationPrimaryMetrics
     """
 
     _validation = {
-        'task_type': {'required': True},
-        'training_data': {'required': True},
+        "task_type": {"required": True},
+        "training_data": {"required": True},
     }
 
     _attribute_map = {
-        'featurization_settings': {'key': 'featurizationSettings', 'type': 'NlpVerticalFeaturizationSettings'},
-        'fixed_parameters': {'key': 'fixedParameters', 'type': 'NlpFixedParameters'},
-        'limit_settings': {'key': 'limitSettings', 'type': 'NlpVerticalLimitSettings'},
-        'search_space': {'key': 'searchSpace', 'type': '[NlpParameterSubspace]'},
-        'sweep_settings': {'key': 'sweepSettings', 'type': 'NlpSweepSettings'},
-        'validation_data': {'key': 'validationData', 'type': 'MLTableJobInput'},
-        'log_verbosity': {'key': 'logVerbosity', 'type': 'str'},
-        'target_column_name': {'key': 'targetColumnName', 'type': 'str'},
-        'task_type': {'key': 'taskType', 'type': 'str'},
-        'training_data': {'key': 'trainingData', 'type': 'MLTableJobInput'},
-        'primary_metric': {'key': 'primaryMetric', 'type': 'str'},
+        "featurization_settings": {"key": "featurizationSettings", "type": "NlpVerticalFeaturizationSettings"},
+        "fixed_parameters": {"key": "fixedParameters", "type": "NlpFixedParameters"},
+        "limit_settings": {"key": "limitSettings", "type": "NlpVerticalLimitSettings"},
+        "search_space": {"key": "searchSpace", "type": "[NlpParameterSubspace]"},
+        "sweep_settings": {"key": "sweepSettings", "type": "NlpSweepSettings"},
+        "validation_data": {"key": "validationData", "type": "MLTableJobInput"},
+        "log_verbosity": {"key": "logVerbosity", "type": "str"},
+        "target_column_name": {"key": "targetColumnName", "type": "str"},
+        "task_type": {"key": "taskType", "type": "str"},
+        "training_data": {"key": "trainingData", "type": "MLTableJobInput"},
+        "primary_metric": {"key": "primaryMetric", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword featurization_settings: Featurization inputs needed for AutoML job.
         :paramtype featurization_settings:
@@ -32830,87 +31023,84 @@ def __init__(
          ~azure.mgmt.machinelearningservices.models.ClassificationPrimaryMetrics
         """
         super(TextClassification, self).__init__(**kwargs)
-        self.featurization_settings = kwargs.get('featurization_settings', None)
-        self.fixed_parameters = kwargs.get('fixed_parameters', None)
-        self.limit_settings = kwargs.get('limit_settings', None)
-        self.search_space = kwargs.get('search_space', None)
-        self.sweep_settings = kwargs.get('sweep_settings', None)
-        self.validation_data = kwargs.get('validation_data', None)
-        self.task_type = 'TextClassification'  # type: str
-        self.primary_metric = kwargs.get('primary_metric', None)
-        self.log_verbosity = kwargs.get('log_verbosity', None)
-        self.target_column_name = kwargs.get('target_column_name', None)
-        self.training_data = kwargs['training_data']
+        self.featurization_settings = kwargs.get("featurization_settings", None)
+        self.fixed_parameters = kwargs.get("fixed_parameters", None)
+        self.limit_settings = kwargs.get("limit_settings", None)
+        self.search_space = kwargs.get("search_space", None)
+        self.sweep_settings = kwargs.get("sweep_settings", None)
+        self.validation_data = kwargs.get("validation_data", None)
+        self.task_type = "TextClassification"  # type: str
+        self.primary_metric = kwargs.get("primary_metric", None)
+        self.log_verbosity = kwargs.get("log_verbosity", None)
+        self.target_column_name = kwargs.get("target_column_name", None)
+        self.training_data = kwargs["training_data"]
 
 
 class TextClassificationMultilabel(AutoMLVertical, NlpVertical):
     """Text Classification Multilabel task in AutoML NLP vertical.
-NLP - Natural Language Processing.
+    NLP - Natural Language Processing.
 
-    Variables are only populated by the server, and will be ignored when sending a request.
+        Variables are only populated by the server, and will be ignored when sending a request.
 
-    All required parameters must be populated in order to send to Azure.
+        All required parameters must be populated in order to send to Azure.
 
-    :ivar featurization_settings: Featurization inputs needed for AutoML job.
-    :vartype featurization_settings:
-     ~azure.mgmt.machinelearningservices.models.NlpVerticalFeaturizationSettings
-    :ivar fixed_parameters: Model/training parameters that will remain constant throughout
-     training.
-    :vartype fixed_parameters: ~azure.mgmt.machinelearningservices.models.NlpFixedParameters
-    :ivar limit_settings: Execution constraints for AutoMLJob.
-    :vartype limit_settings: ~azure.mgmt.machinelearningservices.models.NlpVerticalLimitSettings
-    :ivar search_space: Search space for sampling different combinations of models and their
-     hyperparameters.
-    :vartype search_space: list[~azure.mgmt.machinelearningservices.models.NlpParameterSubspace]
-    :ivar sweep_settings: Settings for model sweeping and hyperparameter tuning.
-    :vartype sweep_settings: ~azure.mgmt.machinelearningservices.models.NlpSweepSettings
-    :ivar validation_data: Validation data inputs.
-    :vartype validation_data: ~azure.mgmt.machinelearningservices.models.MLTableJobInput
-    :ivar log_verbosity: Log verbosity for the job. Possible values include: "NotSet", "Debug",
-     "Info", "Warning", "Error", "Critical".
-    :vartype log_verbosity: str or ~azure.mgmt.machinelearningservices.models.LogVerbosity
-    :ivar target_column_name: Target column name: This is prediction values column.
-     Also known as label column name in context of classification tasks.
-    :vartype target_column_name: str
-    :ivar task_type: Required. [Required] Task type for AutoMLJob.Constant filled by server.
-     Possible values include: "Classification", "Regression", "Forecasting", "ImageClassification",
-     "ImageClassificationMultilabel", "ImageObjectDetection", "ImageInstanceSegmentation",
-     "TextClassification", "TextClassificationMultilabel", "TextNER".
-    :vartype task_type: str or ~azure.mgmt.machinelearningservices.models.TaskType
-    :ivar training_data: Required. [Required] Training data input.
-    :vartype training_data: ~azure.mgmt.machinelearningservices.models.MLTableJobInput
-    :ivar primary_metric: Primary metric for Text-Classification-Multilabel task.
-     Currently only Accuracy is supported as primary metric, hence user need not set it explicitly.
-     Possible values include: "AUCWeighted", "Accuracy", "NormMacroRecall",
-     "AveragePrecisionScoreWeighted", "PrecisionScoreWeighted", "IOU".
-    :vartype primary_metric: str or
-     ~azure.mgmt.machinelearningservices.models.ClassificationMultilabelPrimaryMetrics
+        :ivar featurization_settings: Featurization inputs needed for AutoML job.
+        :vartype featurization_settings:
+         ~azure.mgmt.machinelearningservices.models.NlpVerticalFeaturizationSettings
+        :ivar fixed_parameters: Model/training parameters that will remain constant throughout
+         training.
+        :vartype fixed_parameters: ~azure.mgmt.machinelearningservices.models.NlpFixedParameters
+        :ivar limit_settings: Execution constraints for AutoMLJob.
+        :vartype limit_settings: ~azure.mgmt.machinelearningservices.models.NlpVerticalLimitSettings
+        :ivar search_space: Search space for sampling different combinations of models and their
+         hyperparameters.
+        :vartype search_space: list[~azure.mgmt.machinelearningservices.models.NlpParameterSubspace]
+        :ivar sweep_settings: Settings for model sweeping and hyperparameter tuning.
+        :vartype sweep_settings: ~azure.mgmt.machinelearningservices.models.NlpSweepSettings
+        :ivar validation_data: Validation data inputs.
+        :vartype validation_data: ~azure.mgmt.machinelearningservices.models.MLTableJobInput
+        :ivar log_verbosity: Log verbosity for the job. Possible values include: "NotSet", "Debug",
+         "Info", "Warning", "Error", "Critical".
+        :vartype log_verbosity: str or ~azure.mgmt.machinelearningservices.models.LogVerbosity
+        :ivar target_column_name: Target column name: This is prediction values column.
+         Also known as label column name in context of classification tasks.
+        :vartype target_column_name: str
+        :ivar task_type: Required. [Required] Task type for AutoMLJob.Constant filled by server.
+         Possible values include: "Classification", "Regression", "Forecasting", "ImageClassification",
+         "ImageClassificationMultilabel", "ImageObjectDetection", "ImageInstanceSegmentation",
+         "TextClassification", "TextClassificationMultilabel", "TextNER".
+        :vartype task_type: str or ~azure.mgmt.machinelearningservices.models.TaskType
+        :ivar training_data: Required. [Required] Training data input.
+        :vartype training_data: ~azure.mgmt.machinelearningservices.models.MLTableJobInput
+        :ivar primary_metric: Primary metric for Text-Classification-Multilabel task.
+         Currently only Accuracy is supported as primary metric, hence user need not set it explicitly.
+         Possible values include: "AUCWeighted", "Accuracy", "NormMacroRecall",
+         "AveragePrecisionScoreWeighted", "PrecisionScoreWeighted", "IOU".
+        :vartype primary_metric: str or
+         ~azure.mgmt.machinelearningservices.models.ClassificationMultilabelPrimaryMetrics
     """
 
     _validation = {
-        'task_type': {'required': True},
-        'training_data': {'required': True},
-        'primary_metric': {'readonly': True},
+        "task_type": {"required": True},
+        "training_data": {"required": True},
+        "primary_metric": {"readonly": True},
     }
 
     _attribute_map = {
-        'featurization_settings': {'key': 'featurizationSettings', 'type': 'NlpVerticalFeaturizationSettings'},
-        'fixed_parameters': {'key': 'fixedParameters', 'type': 'NlpFixedParameters'},
-        'limit_settings': {'key': 'limitSettings', 'type': 'NlpVerticalLimitSettings'},
-        'search_space': {'key': 'searchSpace', 'type': '[NlpParameterSubspace]'},
-        'sweep_settings': {'key': 'sweepSettings', 'type': 'NlpSweepSettings'},
-        'validation_data': {'key': 'validationData', 'type': 'MLTableJobInput'},
-        'log_verbosity': {'key': 'logVerbosity', 'type': 'str'},
-        'target_column_name': {'key': 'targetColumnName', 'type': 'str'},
-        'task_type': {'key': 'taskType', 'type': 'str'},
-        'training_data': {'key': 'trainingData', 'type': 'MLTableJobInput'},
-        'primary_metric': {'key': 'primaryMetric', 'type': 'str'},
+        "featurization_settings": {"key": "featurizationSettings", "type": "NlpVerticalFeaturizationSettings"},
+        "fixed_parameters": {"key": "fixedParameters", "type": "NlpFixedParameters"},
+        "limit_settings": {"key": "limitSettings", "type": "NlpVerticalLimitSettings"},
+        "search_space": {"key": "searchSpace", "type": "[NlpParameterSubspace]"},
+        "sweep_settings": {"key": "sweepSettings", "type": "NlpSweepSettings"},
+        "validation_data": {"key": "validationData", "type": "MLTableJobInput"},
+        "log_verbosity": {"key": "logVerbosity", "type": "str"},
+        "target_column_name": {"key": "targetColumnName", "type": "str"},
+        "task_type": {"key": "taskType", "type": "str"},
+        "training_data": {"key": "trainingData", "type": "MLTableJobInput"},
+        "primary_metric": {"key": "primaryMetric", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword featurization_settings: Featurization inputs needed for AutoML job.
         :paramtype featurization_settings:
@@ -32937,88 +31127,85 @@ def __init__(
         :paramtype training_data: ~azure.mgmt.machinelearningservices.models.MLTableJobInput
         """
         super(TextClassificationMultilabel, self).__init__(**kwargs)
-        self.featurization_settings = kwargs.get('featurization_settings', None)
-        self.fixed_parameters = kwargs.get('fixed_parameters', None)
-        self.limit_settings = kwargs.get('limit_settings', None)
-        self.search_space = kwargs.get('search_space', None)
-        self.sweep_settings = kwargs.get('sweep_settings', None)
-        self.validation_data = kwargs.get('validation_data', None)
-        self.task_type = 'TextClassificationMultilabel'  # type: str
+        self.featurization_settings = kwargs.get("featurization_settings", None)
+        self.fixed_parameters = kwargs.get("fixed_parameters", None)
+        self.limit_settings = kwargs.get("limit_settings", None)
+        self.search_space = kwargs.get("search_space", None)
+        self.sweep_settings = kwargs.get("sweep_settings", None)
+        self.validation_data = kwargs.get("validation_data", None)
+        self.task_type = "TextClassificationMultilabel"  # type: str
         self.primary_metric = None
-        self.log_verbosity = kwargs.get('log_verbosity', None)
-        self.target_column_name = kwargs.get('target_column_name', None)
-        self.training_data = kwargs['training_data']
+        self.log_verbosity = kwargs.get("log_verbosity", None)
+        self.target_column_name = kwargs.get("target_column_name", None)
+        self.training_data = kwargs["training_data"]
 
 
 class TextNer(AutoMLVertical, NlpVertical):
     """Text-NER task in AutoML NLP vertical.
-NER - Named Entity Recognition.
-NLP - Natural Language Processing.
+    NER - Named Entity Recognition.
+    NLP - Natural Language Processing.
 
-    Variables are only populated by the server, and will be ignored when sending a request.
+        Variables are only populated by the server, and will be ignored when sending a request.
 
-    All required parameters must be populated in order to send to Azure.
+        All required parameters must be populated in order to send to Azure.
 
-    :ivar featurization_settings: Featurization inputs needed for AutoML job.
-    :vartype featurization_settings:
-     ~azure.mgmt.machinelearningservices.models.NlpVerticalFeaturizationSettings
-    :ivar fixed_parameters: Model/training parameters that will remain constant throughout
-     training.
-    :vartype fixed_parameters: ~azure.mgmt.machinelearningservices.models.NlpFixedParameters
-    :ivar limit_settings: Execution constraints for AutoMLJob.
-    :vartype limit_settings: ~azure.mgmt.machinelearningservices.models.NlpVerticalLimitSettings
-    :ivar search_space: Search space for sampling different combinations of models and their
-     hyperparameters.
-    :vartype search_space: list[~azure.mgmt.machinelearningservices.models.NlpParameterSubspace]
-    :ivar sweep_settings: Settings for model sweeping and hyperparameter tuning.
-    :vartype sweep_settings: ~azure.mgmt.machinelearningservices.models.NlpSweepSettings
-    :ivar validation_data: Validation data inputs.
-    :vartype validation_data: ~azure.mgmt.machinelearningservices.models.MLTableJobInput
-    :ivar log_verbosity: Log verbosity for the job. Possible values include: "NotSet", "Debug",
-     "Info", "Warning", "Error", "Critical".
-    :vartype log_verbosity: str or ~azure.mgmt.machinelearningservices.models.LogVerbosity
-    :ivar target_column_name: Target column name: This is prediction values column.
-     Also known as label column name in context of classification tasks.
-    :vartype target_column_name: str
-    :ivar task_type: Required. [Required] Task type for AutoMLJob.Constant filled by server.
-     Possible values include: "Classification", "Regression", "Forecasting", "ImageClassification",
-     "ImageClassificationMultilabel", "ImageObjectDetection", "ImageInstanceSegmentation",
-     "TextClassification", "TextClassificationMultilabel", "TextNER".
-    :vartype task_type: str or ~azure.mgmt.machinelearningservices.models.TaskType
-    :ivar training_data: Required. [Required] Training data input.
-    :vartype training_data: ~azure.mgmt.machinelearningservices.models.MLTableJobInput
-    :ivar primary_metric: Primary metric for Text-NER task.
-     Only 'Accuracy' is supported for Text-NER, so user need not set this explicitly. Possible
-     values include: "AUCWeighted", "Accuracy", "NormMacroRecall", "AveragePrecisionScoreWeighted",
-     "PrecisionScoreWeighted".
-    :vartype primary_metric: str or
-     ~azure.mgmt.machinelearningservices.models.ClassificationPrimaryMetrics
+        :ivar featurization_settings: Featurization inputs needed for AutoML job.
+        :vartype featurization_settings:
+         ~azure.mgmt.machinelearningservices.models.NlpVerticalFeaturizationSettings
+        :ivar fixed_parameters: Model/training parameters that will remain constant throughout
+         training.
+        :vartype fixed_parameters: ~azure.mgmt.machinelearningservices.models.NlpFixedParameters
+        :ivar limit_settings: Execution constraints for AutoMLJob.
+        :vartype limit_settings: ~azure.mgmt.machinelearningservices.models.NlpVerticalLimitSettings
+        :ivar search_space: Search space for sampling different combinations of models and their
+         hyperparameters.
+        :vartype search_space: list[~azure.mgmt.machinelearningservices.models.NlpParameterSubspace]
+        :ivar sweep_settings: Settings for model sweeping and hyperparameter tuning.
+        :vartype sweep_settings: ~azure.mgmt.machinelearningservices.models.NlpSweepSettings
+        :ivar validation_data: Validation data inputs.
+        :vartype validation_data: ~azure.mgmt.machinelearningservices.models.MLTableJobInput
+        :ivar log_verbosity: Log verbosity for the job. Possible values include: "NotSet", "Debug",
+         "Info", "Warning", "Error", "Critical".
+        :vartype log_verbosity: str or ~azure.mgmt.machinelearningservices.models.LogVerbosity
+        :ivar target_column_name: Target column name: This is prediction values column.
+         Also known as label column name in context of classification tasks.
+        :vartype target_column_name: str
+        :ivar task_type: Required. [Required] Task type for AutoMLJob.Constant filled by server.
+         Possible values include: "Classification", "Regression", "Forecasting", "ImageClassification",
+         "ImageClassificationMultilabel", "ImageObjectDetection", "ImageInstanceSegmentation",
+         "TextClassification", "TextClassificationMultilabel", "TextNER".
+        :vartype task_type: str or ~azure.mgmt.machinelearningservices.models.TaskType
+        :ivar training_data: Required. [Required] Training data input.
+        :vartype training_data: ~azure.mgmt.machinelearningservices.models.MLTableJobInput
+        :ivar primary_metric: Primary metric for Text-NER task.
+         Only 'Accuracy' is supported for Text-NER, so user need not set this explicitly. Possible
+         values include: "AUCWeighted", "Accuracy", "NormMacroRecall", "AveragePrecisionScoreWeighted",
+         "PrecisionScoreWeighted".
+        :vartype primary_metric: str or
+         ~azure.mgmt.machinelearningservices.models.ClassificationPrimaryMetrics
     """
 
     _validation = {
-        'task_type': {'required': True},
-        'training_data': {'required': True},
-        'primary_metric': {'readonly': True},
+        "task_type": {"required": True},
+        "training_data": {"required": True},
+        "primary_metric": {"readonly": True},
     }
 
     _attribute_map = {
-        'featurization_settings': {'key': 'featurizationSettings', 'type': 'NlpVerticalFeaturizationSettings'},
-        'fixed_parameters': {'key': 'fixedParameters', 'type': 'NlpFixedParameters'},
-        'limit_settings': {'key': 'limitSettings', 'type': 'NlpVerticalLimitSettings'},
-        'search_space': {'key': 'searchSpace', 'type': '[NlpParameterSubspace]'},
-        'sweep_settings': {'key': 'sweepSettings', 'type': 'NlpSweepSettings'},
-        'validation_data': {'key': 'validationData', 'type': 'MLTableJobInput'},
-        'log_verbosity': {'key': 'logVerbosity', 'type': 'str'},
-        'target_column_name': {'key': 'targetColumnName', 'type': 'str'},
-        'task_type': {'key': 'taskType', 'type': 'str'},
-        'training_data': {'key': 'trainingData', 'type': 'MLTableJobInput'},
-        'primary_metric': {'key': 'primaryMetric', 'type': 'str'},
+        "featurization_settings": {"key": "featurizationSettings", "type": "NlpVerticalFeaturizationSettings"},
+        "fixed_parameters": {"key": "fixedParameters", "type": "NlpFixedParameters"},
+        "limit_settings": {"key": "limitSettings", "type": "NlpVerticalLimitSettings"},
+        "search_space": {"key": "searchSpace", "type": "[NlpParameterSubspace]"},
+        "sweep_settings": {"key": "sweepSettings", "type": "NlpSweepSettings"},
+        "validation_data": {"key": "validationData", "type": "MLTableJobInput"},
+        "log_verbosity": {"key": "logVerbosity", "type": "str"},
+        "target_column_name": {"key": "targetColumnName", "type": "str"},
+        "task_type": {"key": "taskType", "type": "str"},
+        "training_data": {"key": "trainingData", "type": "MLTableJobInput"},
+        "primary_metric": {"key": "primaryMetric", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword featurization_settings: Featurization inputs needed for AutoML job.
         :paramtype featurization_settings:
@@ -33045,17 +31232,17 @@ def __init__(
         :paramtype training_data: ~azure.mgmt.machinelearningservices.models.MLTableJobInput
         """
         super(TextNer, self).__init__(**kwargs)
-        self.featurization_settings = kwargs.get('featurization_settings', None)
-        self.fixed_parameters = kwargs.get('fixed_parameters', None)
-        self.limit_settings = kwargs.get('limit_settings', None)
-        self.search_space = kwargs.get('search_space', None)
-        self.sweep_settings = kwargs.get('sweep_settings', None)
-        self.validation_data = kwargs.get('validation_data', None)
-        self.task_type = 'TextNER'  # type: str
+        self.featurization_settings = kwargs.get("featurization_settings", None)
+        self.fixed_parameters = kwargs.get("fixed_parameters", None)
+        self.limit_settings = kwargs.get("limit_settings", None)
+        self.search_space = kwargs.get("search_space", None)
+        self.sweep_settings = kwargs.get("sweep_settings", None)
+        self.validation_data = kwargs.get("validation_data", None)
+        self.task_type = "TextNER"  # type: str
         self.primary_metric = None
-        self.log_verbosity = kwargs.get('log_verbosity', None)
-        self.target_column_name = kwargs.get('target_column_name', None)
-        self.training_data = kwargs['training_data']
+        self.log_verbosity = kwargs.get("log_verbosity", None)
+        self.target_column_name = kwargs.get("target_column_name", None)
+        self.training_data = kwargs["training_data"]
 
 
 class ThrottlingRule(msrest.serialization.Model):
@@ -33076,18 +31263,15 @@ class ThrottlingRule(msrest.serialization.Model):
     """
 
     _attribute_map = {
-        'key': {'key': 'key', 'type': 'str'},
-        'renewal_period': {'key': 'renewalPeriod', 'type': 'float'},
-        'count': {'key': 'count', 'type': 'float'},
-        'min_count': {'key': 'minCount', 'type': 'float'},
-        'dynamic_throttling_enabled': {'key': 'dynamicThrottlingEnabled', 'type': 'bool'},
-        'match_patterns': {'key': 'matchPatterns', 'type': '[RequestMatchPattern]'},
+        "key": {"key": "key", "type": "str"},
+        "renewal_period": {"key": "renewalPeriod", "type": "float"},
+        "count": {"key": "count", "type": "float"},
+        "min_count": {"key": "minCount", "type": "float"},
+        "dynamic_throttling_enabled": {"key": "dynamicThrottlingEnabled", "type": "bool"},
+        "match_patterns": {"key": "matchPatterns", "type": "[RequestMatchPattern]"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword key:
         :paramtype key: str
@@ -33103,12 +31287,12 @@ def __init__(
         :paramtype match_patterns: list[~azure.mgmt.machinelearningservices.models.RequestMatchPattern]
         """
         super(ThrottlingRule, self).__init__(**kwargs)
-        self.key = kwargs.get('key', None)
-        self.renewal_period = kwargs.get('renewal_period', None)
-        self.count = kwargs.get('count', None)
-        self.min_count = kwargs.get('min_count', None)
-        self.dynamic_throttling_enabled = kwargs.get('dynamic_throttling_enabled', None)
-        self.match_patterns = kwargs.get('match_patterns', None)
+        self.key = kwargs.get("key", None)
+        self.renewal_period = kwargs.get("renewal_period", None)
+        self.count = kwargs.get("count", None)
+        self.min_count = kwargs.get("min_count", None)
+        self.dynamic_throttling_enabled = kwargs.get("dynamic_throttling_enabled", None)
+        self.match_patterns = kwargs.get("match_patterns", None)
 
 
 class TmpfsOptions(msrest.serialization.Model):
@@ -33119,19 +31303,16 @@ class TmpfsOptions(msrest.serialization.Model):
     """
 
     _attribute_map = {
-        'size': {'key': 'size', 'type': 'int'},
+        "size": {"key": "size", "type": "int"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword size: Mention the Tmpfs size.
         :paramtype size: int
         """
         super(TmpfsOptions, self).__init__(**kwargs)
-        self.size = kwargs.get('size', None)
+        self.size = kwargs.get("size", None)
 
 
 class TopNFeaturesByAttribution(MonitoringFeatureFilterBase):
@@ -33149,25 +31330,22 @@ class TopNFeaturesByAttribution(MonitoringFeatureFilterBase):
     """
 
     _validation = {
-        'filter_type': {'required': True},
+        "filter_type": {"required": True},
     }
 
     _attribute_map = {
-        'filter_type': {'key': 'filterType', 'type': 'str'},
-        'top': {'key': 'top', 'type': 'int'},
+        "filter_type": {"key": "filterType", "type": "str"},
+        "top": {"key": "top", "type": "int"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword top: The number of top features to include.
         :paramtype top: int
         """
         super(TopNFeaturesByAttribution, self).__init__(**kwargs)
-        self.filter_type = 'TopNByAttribution'  # type: str
-        self.top = kwargs.get('top', 10)
+        self.filter_type = "TopNByAttribution"  # type: str
+        self.top = kwargs.get("top", 10)
 
 
 class TrialComponent(msrest.serialization.Model):
@@ -33193,23 +31371,20 @@ class TrialComponent(msrest.serialization.Model):
     """
 
     _validation = {
-        'command': {'required': True, 'min_length': 1, 'pattern': r'[a-zA-Z0-9_]'},
-        'environment_id': {'required': True, 'min_length': 1, 'pattern': r'[a-zA-Z0-9_]'},
+        "command": {"required": True, "min_length": 1, "pattern": r"[a-zA-Z0-9_]"},
+        "environment_id": {"required": True, "min_length": 1, "pattern": r"[a-zA-Z0-9_]"},
     }
 
     _attribute_map = {
-        'code_id': {'key': 'codeId', 'type': 'str'},
-        'command': {'key': 'command', 'type': 'str'},
-        'distribution': {'key': 'distribution', 'type': 'DistributionConfiguration'},
-        'environment_id': {'key': 'environmentId', 'type': 'str'},
-        'environment_variables': {'key': 'environmentVariables', 'type': '{str}'},
-        'resources': {'key': 'resources', 'type': 'JobResourceConfiguration'},
+        "code_id": {"key": "codeId", "type": "str"},
+        "command": {"key": "command", "type": "str"},
+        "distribution": {"key": "distribution", "type": "DistributionConfiguration"},
+        "environment_id": {"key": "environmentId", "type": "str"},
+        "environment_variables": {"key": "environmentVariables", "type": "{str}"},
+        "resources": {"key": "resources", "type": "JobResourceConfiguration"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword code_id: ARM resource ID of the code asset.
         :paramtype code_id: str
@@ -33228,12 +31403,12 @@ def __init__(
         :paramtype resources: ~azure.mgmt.machinelearningservices.models.JobResourceConfiguration
         """
         super(TrialComponent, self).__init__(**kwargs)
-        self.code_id = kwargs.get('code_id', None)
-        self.command = kwargs['command']
-        self.distribution = kwargs.get('distribution', None)
-        self.environment_id = kwargs['environment_id']
-        self.environment_variables = kwargs.get('environment_variables', None)
-        self.resources = kwargs.get('resources', None)
+        self.code_id = kwargs.get("code_id", None)
+        self.command = kwargs["command"]
+        self.distribution = kwargs.get("distribution", None)
+        self.environment_id = kwargs["environment_id"]
+        self.environment_variables = kwargs.get("environment_variables", None)
+        self.resources = kwargs.get("resources", None)
 
 
 class TriggerOnceRequest(msrest.serialization.Model):
@@ -33246,23 +31421,20 @@ class TriggerOnceRequest(msrest.serialization.Model):
     """
 
     _validation = {
-        'schedule_time': {'required': True, 'min_length': 1, 'pattern': r'[a-zA-Z0-9_]'},
+        "schedule_time": {"required": True, "min_length": 1, "pattern": r"[a-zA-Z0-9_]"},
     }
 
     _attribute_map = {
-        'schedule_time': {'key': 'scheduleTime', 'type': 'str'},
+        "schedule_time": {"key": "scheduleTime", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword schedule_time: Required. [Required] Specify the schedule time for trigger once.
         :paramtype schedule_time: str
         """
         super(TriggerOnceRequest, self).__init__(**kwargs)
-        self.schedule_time = kwargs['schedule_time']
+        self.schedule_time = kwargs["schedule_time"]
 
 
 class TriggerRunSubmissionDto(msrest.serialization.Model):
@@ -33276,14 +31448,11 @@ class TriggerRunSubmissionDto(msrest.serialization.Model):
     """
 
     _attribute_map = {
-        'schedule_action_type': {'key': 'scheduleActionType', 'type': 'str'},
-        'submission_id': {'key': 'submissionId', 'type': 'str'},
+        "schedule_action_type": {"key": "scheduleActionType", "type": "str"},
+        "submission_id": {"key": "submissionId", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword schedule_action_type: Possible values include: "ComputeStartStop", "CreateJob",
          "InvokeBatchEndpoint", "ImportData", "CreateMonitor", "FeatureStoreMaterialization".
@@ -33292,8 +31461,8 @@ def __init__(
         :paramtype submission_id: str
         """
         super(TriggerRunSubmissionDto, self).__init__(**kwargs)
-        self.schedule_action_type = kwargs.get('schedule_action_type', None)
-        self.submission_id = kwargs.get('submission_id', None)
+        self.schedule_action_type = kwargs.get("schedule_action_type", None)
+        self.submission_id = kwargs.get("submission_id", None)
 
 
 class TritonInferencingServer(InferencingServer):
@@ -33310,26 +31479,23 @@ class TritonInferencingServer(InferencingServer):
     """
 
     _validation = {
-        'server_type': {'required': True},
+        "server_type": {"required": True},
     }
 
     _attribute_map = {
-        'server_type': {'key': 'serverType', 'type': 'str'},
-        'inference_configuration': {'key': 'inferenceConfiguration', 'type': 'OnlineInferenceConfiguration'},
+        "server_type": {"key": "serverType", "type": "str"},
+        "inference_configuration": {"key": "inferenceConfiguration", "type": "OnlineInferenceConfiguration"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword inference_configuration: Inference configuration for Triton.
         :paramtype inference_configuration:
          ~azure.mgmt.machinelearningservices.models.OnlineInferenceConfiguration
         """
         super(TritonInferencingServer, self).__init__(**kwargs)
-        self.server_type = 'Triton'  # type: str
-        self.inference_configuration = kwargs.get('inference_configuration', None)
+        self.server_type = "Triton"  # type: str
+        self.inference_configuration = kwargs.get("inference_configuration", None)
 
 
 class TritonModelJobInput(JobInput, AssetJobInput):
@@ -33353,22 +31519,19 @@ class TritonModelJobInput(JobInput, AssetJobInput):
     """
 
     _validation = {
-        'uri': {'required': True, 'min_length': 1, 'pattern': r'[a-zA-Z0-9_]'},
-        'job_input_type': {'required': True},
+        "uri": {"required": True, "min_length": 1, "pattern": r"[a-zA-Z0-9_]"},
+        "job_input_type": {"required": True},
     }
 
     _attribute_map = {
-        'mode': {'key': 'mode', 'type': 'str'},
-        'path_on_compute': {'key': 'pathOnCompute', 'type': 'str'},
-        'uri': {'key': 'uri', 'type': 'str'},
-        'description': {'key': 'description', 'type': 'str'},
-        'job_input_type': {'key': 'jobInputType', 'type': 'str'},
+        "mode": {"key": "mode", "type": "str"},
+        "path_on_compute": {"key": "pathOnCompute", "type": "str"},
+        "uri": {"key": "uri", "type": "str"},
+        "description": {"key": "description", "type": "str"},
+        "job_input_type": {"key": "jobInputType", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword mode: Input Asset Delivery Mode. Possible values include: "ReadOnlyMount",
          "ReadWriteMount", "Download", "Direct", "EvalMount", "EvalDownload".
@@ -33381,11 +31544,11 @@ def __init__(
         :paramtype description: str
         """
         super(TritonModelJobInput, self).__init__(**kwargs)
-        self.mode = kwargs.get('mode', None)
-        self.path_on_compute = kwargs.get('path_on_compute', None)
-        self.uri = kwargs['uri']
-        self.job_input_type = 'triton_model'  # type: str
-        self.description = kwargs.get('description', None)
+        self.mode = kwargs.get("mode", None)
+        self.path_on_compute = kwargs.get("path_on_compute", None)
+        self.uri = kwargs["uri"]
+        self.job_input_type = "triton_model"  # type: str
+        self.description = kwargs.get("description", None)
 
 
 class TritonModelJobOutput(JobOutput, AssetJobOutput):
@@ -33415,24 +31578,21 @@ class TritonModelJobOutput(JobOutput, AssetJobOutput):
     """
 
     _validation = {
-        'job_output_type': {'required': True},
+        "job_output_type": {"required": True},
     }
 
     _attribute_map = {
-        'asset_name': {'key': 'assetName', 'type': 'str'},
-        'asset_version': {'key': 'assetVersion', 'type': 'str'},
-        'auto_delete_setting': {'key': 'autoDeleteSetting', 'type': 'AutoDeleteSetting'},
-        'mode': {'key': 'mode', 'type': 'str'},
-        'path_on_compute': {'key': 'pathOnCompute', 'type': 'str'},
-        'uri': {'key': 'uri', 'type': 'str'},
-        'description': {'key': 'description', 'type': 'str'},
-        'job_output_type': {'key': 'jobOutputType', 'type': 'str'},
+        "asset_name": {"key": "assetName", "type": "str"},
+        "asset_version": {"key": "assetVersion", "type": "str"},
+        "auto_delete_setting": {"key": "autoDeleteSetting", "type": "AutoDeleteSetting"},
+        "mode": {"key": "mode", "type": "str"},
+        "path_on_compute": {"key": "pathOnCompute", "type": "str"},
+        "uri": {"key": "uri", "type": "str"},
+        "description": {"key": "description", "type": "str"},
+        "job_output_type": {"key": "jobOutputType", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword asset_name: Output Asset Name.
         :paramtype asset_name: str
@@ -33451,14 +31611,14 @@ def __init__(
         :paramtype description: str
         """
         super(TritonModelJobOutput, self).__init__(**kwargs)
-        self.asset_name = kwargs.get('asset_name', None)
-        self.asset_version = kwargs.get('asset_version', None)
-        self.auto_delete_setting = kwargs.get('auto_delete_setting', None)
-        self.mode = kwargs.get('mode', None)
-        self.path_on_compute = kwargs.get('path_on_compute', None)
-        self.uri = kwargs.get('uri', None)
-        self.job_output_type = 'triton_model'  # type: str
-        self.description = kwargs.get('description', None)
+        self.asset_name = kwargs.get("asset_name", None)
+        self.asset_version = kwargs.get("asset_version", None)
+        self.auto_delete_setting = kwargs.get("auto_delete_setting", None)
+        self.mode = kwargs.get("mode", None)
+        self.path_on_compute = kwargs.get("path_on_compute", None)
+        self.uri = kwargs.get("uri", None)
+        self.job_output_type = "triton_model"  # type: str
+        self.description = kwargs.get("description", None)
 
 
 class TruncationSelectionPolicy(EarlyTerminationPolicy):
@@ -33479,20 +31639,17 @@ class TruncationSelectionPolicy(EarlyTerminationPolicy):
     """
 
     _validation = {
-        'policy_type': {'required': True},
+        "policy_type": {"required": True},
     }
 
     _attribute_map = {
-        'delay_evaluation': {'key': 'delayEvaluation', 'type': 'int'},
-        'evaluation_interval': {'key': 'evaluationInterval', 'type': 'int'},
-        'policy_type': {'key': 'policyType', 'type': 'str'},
-        'truncation_percentage': {'key': 'truncationPercentage', 'type': 'int'},
+        "delay_evaluation": {"key": "delayEvaluation", "type": "int"},
+        "evaluation_interval": {"key": "evaluationInterval", "type": "int"},
+        "policy_type": {"key": "policyType", "type": "str"},
+        "truncation_percentage": {"key": "truncationPercentage", "type": "int"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword delay_evaluation: Number of intervals by which to delay the first evaluation.
         :paramtype delay_evaluation: int
@@ -33502,8 +31659,8 @@ def __init__(
         :paramtype truncation_percentage: int
         """
         super(TruncationSelectionPolicy, self).__init__(**kwargs)
-        self.policy_type = 'TruncationSelection'  # type: str
-        self.truncation_percentage = kwargs.get('truncation_percentage', 0)
+        self.policy_type = "TruncationSelection"  # type: str
+        self.truncation_percentage = kwargs.get("truncation_percentage", 0)
 
 
 class UpdateWorkspaceQuotas(msrest.serialization.Model):
@@ -33527,23 +31684,20 @@ class UpdateWorkspaceQuotas(msrest.serialization.Model):
     """
 
     _validation = {
-        'id': {'readonly': True},
-        'type': {'readonly': True},
-        'unit': {'readonly': True},
+        "id": {"readonly": True},
+        "type": {"readonly": True},
+        "unit": {"readonly": True},
     }
 
     _attribute_map = {
-        'id': {'key': 'id', 'type': 'str'},
-        'type': {'key': 'type', 'type': 'str'},
-        'limit': {'key': 'limit', 'type': 'long'},
-        'unit': {'key': 'unit', 'type': 'str'},
-        'status': {'key': 'status', 'type': 'str'},
+        "id": {"key": "id", "type": "str"},
+        "type": {"key": "type", "type": "str"},
+        "limit": {"key": "limit", "type": "long"},
+        "unit": {"key": "unit", "type": "str"},
+        "status": {"key": "status", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword limit: The maximum permitted quota of the resource.
         :paramtype limit: long
@@ -33556,9 +31710,9 @@ def __init__(
         super(UpdateWorkspaceQuotas, self).__init__(**kwargs)
         self.id = None
         self.type = None
-        self.limit = kwargs.get('limit', None)
+        self.limit = kwargs.get("limit", None)
         self.unit = None
-        self.status = kwargs.get('status', None)
+        self.status = kwargs.get("status", None)
 
 
 class UpdateWorkspaceQuotasResult(msrest.serialization.Model):
@@ -33574,21 +31728,17 @@ class UpdateWorkspaceQuotasResult(msrest.serialization.Model):
     """
 
     _validation = {
-        'value': {'readonly': True},
-        'next_link': {'readonly': True},
+        "value": {"readonly": True},
+        "next_link": {"readonly": True},
     }
 
     _attribute_map = {
-        'value': {'key': 'value', 'type': '[UpdateWorkspaceQuotas]'},
-        'next_link': {'key': 'nextLink', 'type': 'str'},
+        "value": {"key": "value", "type": "[UpdateWorkspaceQuotas]"},
+        "next_link": {"key": "nextLink", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
-        """
-        """
+    def __init__(self, **kwargs):
+        """ """
         super(UpdateWorkspaceQuotasResult, self).__init__(**kwargs)
         self.value = None
         self.next_link = None
@@ -33627,27 +31777,24 @@ class UriFileDataVersion(DataVersionBaseProperties):
     """
 
     _validation = {
-        'data_type': {'required': True},
-        'data_uri': {'required': True, 'min_length': 1, 'pattern': r'[a-zA-Z0-9_]'},
+        "data_type": {"required": True},
+        "data_uri": {"required": True, "min_length": 1, "pattern": r"[a-zA-Z0-9_]"},
     }
 
     _attribute_map = {
-        'description': {'key': 'description', 'type': 'str'},
-        'properties': {'key': 'properties', 'type': '{str}'},
-        'tags': {'key': 'tags', 'type': '{str}'},
-        'auto_delete_setting': {'key': 'autoDeleteSetting', 'type': 'AutoDeleteSetting'},
-        'is_anonymous': {'key': 'isAnonymous', 'type': 'bool'},
-        'is_archived': {'key': 'isArchived', 'type': 'bool'},
-        'data_type': {'key': 'dataType', 'type': 'str'},
-        'data_uri': {'key': 'dataUri', 'type': 'str'},
-        'intellectual_property': {'key': 'intellectualProperty', 'type': 'IntellectualProperty'},
-        'stage': {'key': 'stage', 'type': 'str'},
+        "description": {"key": "description", "type": "str"},
+        "properties": {"key": "properties", "type": "{str}"},
+        "tags": {"key": "tags", "type": "{str}"},
+        "auto_delete_setting": {"key": "autoDeleteSetting", "type": "AutoDeleteSetting"},
+        "is_anonymous": {"key": "isAnonymous", "type": "bool"},
+        "is_archived": {"key": "isArchived", "type": "bool"},
+        "data_type": {"key": "dataType", "type": "str"},
+        "data_uri": {"key": "dataUri", "type": "str"},
+        "intellectual_property": {"key": "intellectualProperty", "type": "IntellectualProperty"},
+        "stage": {"key": "stage", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword description: The asset description text.
         :paramtype description: str
@@ -33674,7 +31821,7 @@ def __init__(
         :paramtype stage: str
         """
         super(UriFileDataVersion, self).__init__(**kwargs)
-        self.data_type = 'uri_file'  # type: str
+        self.data_type = "uri_file"  # type: str
 
 
 class UriFileJobInput(JobInput, AssetJobInput):
@@ -33698,22 +31845,19 @@ class UriFileJobInput(JobInput, AssetJobInput):
     """
 
     _validation = {
-        'uri': {'required': True, 'min_length': 1, 'pattern': r'[a-zA-Z0-9_]'},
-        'job_input_type': {'required': True},
+        "uri": {"required": True, "min_length": 1, "pattern": r"[a-zA-Z0-9_]"},
+        "job_input_type": {"required": True},
     }
 
     _attribute_map = {
-        'mode': {'key': 'mode', 'type': 'str'},
-        'path_on_compute': {'key': 'pathOnCompute', 'type': 'str'},
-        'uri': {'key': 'uri', 'type': 'str'},
-        'description': {'key': 'description', 'type': 'str'},
-        'job_input_type': {'key': 'jobInputType', 'type': 'str'},
+        "mode": {"key": "mode", "type": "str"},
+        "path_on_compute": {"key": "pathOnCompute", "type": "str"},
+        "uri": {"key": "uri", "type": "str"},
+        "description": {"key": "description", "type": "str"},
+        "job_input_type": {"key": "jobInputType", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword mode: Input Asset Delivery Mode. Possible values include: "ReadOnlyMount",
          "ReadWriteMount", "Download", "Direct", "EvalMount", "EvalDownload".
@@ -33726,11 +31870,11 @@ def __init__(
         :paramtype description: str
         """
         super(UriFileJobInput, self).__init__(**kwargs)
-        self.mode = kwargs.get('mode', None)
-        self.path_on_compute = kwargs.get('path_on_compute', None)
-        self.uri = kwargs['uri']
-        self.job_input_type = 'uri_file'  # type: str
-        self.description = kwargs.get('description', None)
+        self.mode = kwargs.get("mode", None)
+        self.path_on_compute = kwargs.get("path_on_compute", None)
+        self.uri = kwargs["uri"]
+        self.job_input_type = "uri_file"  # type: str
+        self.description = kwargs.get("description", None)
 
 
 class UriFileJobOutput(JobOutput, AssetJobOutput):
@@ -33760,24 +31904,21 @@ class UriFileJobOutput(JobOutput, AssetJobOutput):
     """
 
     _validation = {
-        'job_output_type': {'required': True},
+        "job_output_type": {"required": True},
     }
 
     _attribute_map = {
-        'asset_name': {'key': 'assetName', 'type': 'str'},
-        'asset_version': {'key': 'assetVersion', 'type': 'str'},
-        'auto_delete_setting': {'key': 'autoDeleteSetting', 'type': 'AutoDeleteSetting'},
-        'mode': {'key': 'mode', 'type': 'str'},
-        'path_on_compute': {'key': 'pathOnCompute', 'type': 'str'},
-        'uri': {'key': 'uri', 'type': 'str'},
-        'description': {'key': 'description', 'type': 'str'},
-        'job_output_type': {'key': 'jobOutputType', 'type': 'str'},
+        "asset_name": {"key": "assetName", "type": "str"},
+        "asset_version": {"key": "assetVersion", "type": "str"},
+        "auto_delete_setting": {"key": "autoDeleteSetting", "type": "AutoDeleteSetting"},
+        "mode": {"key": "mode", "type": "str"},
+        "path_on_compute": {"key": "pathOnCompute", "type": "str"},
+        "uri": {"key": "uri", "type": "str"},
+        "description": {"key": "description", "type": "str"},
+        "job_output_type": {"key": "jobOutputType", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword asset_name: Output Asset Name.
         :paramtype asset_name: str
@@ -33796,14 +31937,14 @@ def __init__(
         :paramtype description: str
         """
         super(UriFileJobOutput, self).__init__(**kwargs)
-        self.asset_name = kwargs.get('asset_name', None)
-        self.asset_version = kwargs.get('asset_version', None)
-        self.auto_delete_setting = kwargs.get('auto_delete_setting', None)
-        self.mode = kwargs.get('mode', None)
-        self.path_on_compute = kwargs.get('path_on_compute', None)
-        self.uri = kwargs.get('uri', None)
-        self.job_output_type = 'uri_file'  # type: str
-        self.description = kwargs.get('description', None)
+        self.asset_name = kwargs.get("asset_name", None)
+        self.asset_version = kwargs.get("asset_version", None)
+        self.auto_delete_setting = kwargs.get("auto_delete_setting", None)
+        self.mode = kwargs.get("mode", None)
+        self.path_on_compute = kwargs.get("path_on_compute", None)
+        self.uri = kwargs.get("uri", None)
+        self.job_output_type = "uri_file"  # type: str
+        self.description = kwargs.get("description", None)
 
 
 class UriFolderDataVersion(DataVersionBaseProperties):
@@ -33839,27 +31980,24 @@ class UriFolderDataVersion(DataVersionBaseProperties):
     """
 
     _validation = {
-        'data_type': {'required': True},
-        'data_uri': {'required': True, 'min_length': 1, 'pattern': r'[a-zA-Z0-9_]'},
+        "data_type": {"required": True},
+        "data_uri": {"required": True, "min_length": 1, "pattern": r"[a-zA-Z0-9_]"},
     }
 
     _attribute_map = {
-        'description': {'key': 'description', 'type': 'str'},
-        'properties': {'key': 'properties', 'type': '{str}'},
-        'tags': {'key': 'tags', 'type': '{str}'},
-        'auto_delete_setting': {'key': 'autoDeleteSetting', 'type': 'AutoDeleteSetting'},
-        'is_anonymous': {'key': 'isAnonymous', 'type': 'bool'},
-        'is_archived': {'key': 'isArchived', 'type': 'bool'},
-        'data_type': {'key': 'dataType', 'type': 'str'},
-        'data_uri': {'key': 'dataUri', 'type': 'str'},
-        'intellectual_property': {'key': 'intellectualProperty', 'type': 'IntellectualProperty'},
-        'stage': {'key': 'stage', 'type': 'str'},
+        "description": {"key": "description", "type": "str"},
+        "properties": {"key": "properties", "type": "{str}"},
+        "tags": {"key": "tags", "type": "{str}"},
+        "auto_delete_setting": {"key": "autoDeleteSetting", "type": "AutoDeleteSetting"},
+        "is_anonymous": {"key": "isAnonymous", "type": "bool"},
+        "is_archived": {"key": "isArchived", "type": "bool"},
+        "data_type": {"key": "dataType", "type": "str"},
+        "data_uri": {"key": "dataUri", "type": "str"},
+        "intellectual_property": {"key": "intellectualProperty", "type": "IntellectualProperty"},
+        "stage": {"key": "stage", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword description: The asset description text.
         :paramtype description: str
@@ -33886,7 +32024,7 @@ def __init__(
         :paramtype stage: str
         """
         super(UriFolderDataVersion, self).__init__(**kwargs)
-        self.data_type = 'uri_folder'  # type: str
+        self.data_type = "uri_folder"  # type: str
 
 
 class UriFolderJobInput(JobInput, AssetJobInput):
@@ -33910,22 +32048,19 @@ class UriFolderJobInput(JobInput, AssetJobInput):
     """
 
     _validation = {
-        'uri': {'required': True, 'min_length': 1, 'pattern': r'[a-zA-Z0-9_]'},
-        'job_input_type': {'required': True},
+        "uri": {"required": True, "min_length": 1, "pattern": r"[a-zA-Z0-9_]"},
+        "job_input_type": {"required": True},
     }
 
     _attribute_map = {
-        'mode': {'key': 'mode', 'type': 'str'},
-        'path_on_compute': {'key': 'pathOnCompute', 'type': 'str'},
-        'uri': {'key': 'uri', 'type': 'str'},
-        'description': {'key': 'description', 'type': 'str'},
-        'job_input_type': {'key': 'jobInputType', 'type': 'str'},
+        "mode": {"key": "mode", "type": "str"},
+        "path_on_compute": {"key": "pathOnCompute", "type": "str"},
+        "uri": {"key": "uri", "type": "str"},
+        "description": {"key": "description", "type": "str"},
+        "job_input_type": {"key": "jobInputType", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword mode: Input Asset Delivery Mode. Possible values include: "ReadOnlyMount",
          "ReadWriteMount", "Download", "Direct", "EvalMount", "EvalDownload".
@@ -33938,11 +32073,11 @@ def __init__(
         :paramtype description: str
         """
         super(UriFolderJobInput, self).__init__(**kwargs)
-        self.mode = kwargs.get('mode', None)
-        self.path_on_compute = kwargs.get('path_on_compute', None)
-        self.uri = kwargs['uri']
-        self.job_input_type = 'uri_folder'  # type: str
-        self.description = kwargs.get('description', None)
+        self.mode = kwargs.get("mode", None)
+        self.path_on_compute = kwargs.get("path_on_compute", None)
+        self.uri = kwargs["uri"]
+        self.job_input_type = "uri_folder"  # type: str
+        self.description = kwargs.get("description", None)
 
 
 class UriFolderJobOutput(JobOutput, AssetJobOutput):
@@ -33972,24 +32107,21 @@ class UriFolderJobOutput(JobOutput, AssetJobOutput):
     """
 
     _validation = {
-        'job_output_type': {'required': True},
+        "job_output_type": {"required": True},
     }
 
     _attribute_map = {
-        'asset_name': {'key': 'assetName', 'type': 'str'},
-        'asset_version': {'key': 'assetVersion', 'type': 'str'},
-        'auto_delete_setting': {'key': 'autoDeleteSetting', 'type': 'AutoDeleteSetting'},
-        'mode': {'key': 'mode', 'type': 'str'},
-        'path_on_compute': {'key': 'pathOnCompute', 'type': 'str'},
-        'uri': {'key': 'uri', 'type': 'str'},
-        'description': {'key': 'description', 'type': 'str'},
-        'job_output_type': {'key': 'jobOutputType', 'type': 'str'},
+        "asset_name": {"key": "assetName", "type": "str"},
+        "asset_version": {"key": "assetVersion", "type": "str"},
+        "auto_delete_setting": {"key": "autoDeleteSetting", "type": "AutoDeleteSetting"},
+        "mode": {"key": "mode", "type": "str"},
+        "path_on_compute": {"key": "pathOnCompute", "type": "str"},
+        "uri": {"key": "uri", "type": "str"},
+        "description": {"key": "description", "type": "str"},
+        "job_output_type": {"key": "jobOutputType", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword asset_name: Output Asset Name.
         :paramtype asset_name: str
@@ -34008,14 +32140,14 @@ def __init__(
         :paramtype description: str
         """
         super(UriFolderJobOutput, self).__init__(**kwargs)
-        self.asset_name = kwargs.get('asset_name', None)
-        self.asset_version = kwargs.get('asset_version', None)
-        self.auto_delete_setting = kwargs.get('auto_delete_setting', None)
-        self.mode = kwargs.get('mode', None)
-        self.path_on_compute = kwargs.get('path_on_compute', None)
-        self.uri = kwargs.get('uri', None)
-        self.job_output_type = 'uri_folder'  # type: str
-        self.description = kwargs.get('description', None)
+        self.asset_name = kwargs.get("asset_name", None)
+        self.asset_version = kwargs.get("asset_version", None)
+        self.auto_delete_setting = kwargs.get("auto_delete_setting", None)
+        self.mode = kwargs.get("mode", None)
+        self.path_on_compute = kwargs.get("path_on_compute", None)
+        self.uri = kwargs.get("uri", None)
+        self.job_output_type = "uri_folder"  # type: str
+        self.description = kwargs.get("description", None)
 
 
 class Usage(msrest.serialization.Model):
@@ -34040,31 +32172,27 @@ class Usage(msrest.serialization.Model):
     """
 
     _validation = {
-        'id': {'readonly': True},
-        'aml_workspace_location': {'readonly': True},
-        'type': {'readonly': True},
-        'unit': {'readonly': True},
-        'current_value': {'readonly': True},
-        'limit': {'readonly': True},
-        'name': {'readonly': True},
+        "id": {"readonly": True},
+        "aml_workspace_location": {"readonly": True},
+        "type": {"readonly": True},
+        "unit": {"readonly": True},
+        "current_value": {"readonly": True},
+        "limit": {"readonly": True},
+        "name": {"readonly": True},
     }
 
     _attribute_map = {
-        'id': {'key': 'id', 'type': 'str'},
-        'aml_workspace_location': {'key': 'amlWorkspaceLocation', 'type': 'str'},
-        'type': {'key': 'type', 'type': 'str'},
-        'unit': {'key': 'unit', 'type': 'str'},
-        'current_value': {'key': 'currentValue', 'type': 'long'},
-        'limit': {'key': 'limit', 'type': 'long'},
-        'name': {'key': 'name', 'type': 'UsageName'},
+        "id": {"key": "id", "type": "str"},
+        "aml_workspace_location": {"key": "amlWorkspaceLocation", "type": "str"},
+        "type": {"key": "type", "type": "str"},
+        "unit": {"key": "unit", "type": "str"},
+        "current_value": {"key": "currentValue", "type": "long"},
+        "limit": {"key": "limit", "type": "long"},
+        "name": {"key": "name", "type": "UsageName"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
-        """
-        """
+    def __init__(self, **kwargs):
+        """ """
         super(Usage, self).__init__(**kwargs)
         self.id = None
         self.aml_workspace_location = None
@@ -34087,21 +32215,17 @@ class UsageName(msrest.serialization.Model):
     """
 
     _validation = {
-        'value': {'readonly': True},
-        'localized_value': {'readonly': True},
+        "value": {"readonly": True},
+        "localized_value": {"readonly": True},
     }
 
     _attribute_map = {
-        'value': {'key': 'value', 'type': 'str'},
-        'localized_value': {'key': 'localizedValue', 'type': 'str'},
+        "value": {"key": "value", "type": "str"},
+        "localized_value": {"key": "localizedValue", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
-        """
-        """
+    def __init__(self, **kwargs):
+        """ """
         super(UsageName, self).__init__(**kwargs)
         self.value = None
         self.localized_value = None
@@ -34122,19 +32246,16 @@ class UserAccountCredentials(msrest.serialization.Model):
     """
 
     _validation = {
-        'admin_user_name': {'required': True},
+        "admin_user_name": {"required": True},
     }
 
     _attribute_map = {
-        'admin_user_name': {'key': 'adminUserName', 'type': 'str'},
-        'admin_user_ssh_public_key': {'key': 'adminUserSshPublicKey', 'type': 'str'},
-        'admin_user_password': {'key': 'adminUserPassword', 'type': 'str'},
+        "admin_user_name": {"key": "adminUserName", "type": "str"},
+        "admin_user_ssh_public_key": {"key": "adminUserSshPublicKey", "type": "str"},
+        "admin_user_password": {"key": "adminUserPassword", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword admin_user_name: Required. Name of the administrator user account which can be used to
          SSH to nodes.
@@ -34145,9 +32266,9 @@ def __init__(
         :paramtype admin_user_password: str
         """
         super(UserAccountCredentials, self).__init__(**kwargs)
-        self.admin_user_name = kwargs['admin_user_name']
-        self.admin_user_ssh_public_key = kwargs.get('admin_user_ssh_public_key', None)
-        self.admin_user_password = kwargs.get('admin_user_password', None)
+        self.admin_user_name = kwargs["admin_user_name"]
+        self.admin_user_ssh_public_key = kwargs.get("admin_user_ssh_public_key", None)
+        self.admin_user_password = kwargs.get("admin_user_password", None)
 
 
 class UserAssignedIdentity(msrest.serialization.Model):
@@ -34162,21 +32283,17 @@ class UserAssignedIdentity(msrest.serialization.Model):
     """
 
     _validation = {
-        'principal_id': {'readonly': True},
-        'client_id': {'readonly': True},
+        "principal_id": {"readonly": True},
+        "client_id": {"readonly": True},
     }
 
     _attribute_map = {
-        'principal_id': {'key': 'principalId', 'type': 'str'},
-        'client_id': {'key': 'clientId', 'type': 'str'},
+        "principal_id": {"key": "principalId", "type": "str"},
+        "client_id": {"key": "clientId", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
-        """
-        """
+    def __init__(self, **kwargs):
+        """ """
         super(UserAssignedIdentity, self).__init__(**kwargs)
         self.principal_id = None
         self.client_id = None
@@ -34190,19 +32307,16 @@ class UserCreatedAcrAccount(msrest.serialization.Model):
     """
 
     _attribute_map = {
-        'arm_resource_id': {'key': 'armResourceId', 'type': 'ArmResourceId'},
+        "arm_resource_id": {"key": "armResourceId", "type": "ArmResourceId"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword arm_resource_id: ARM ResourceId of a resource.
         :paramtype arm_resource_id: ~azure.mgmt.machinelearningservices.models.ArmResourceId
         """
         super(UserCreatedAcrAccount, self).__init__(**kwargs)
-        self.arm_resource_id = kwargs.get('arm_resource_id', None)
+        self.arm_resource_id = kwargs.get("arm_resource_id", None)
 
 
 class UserCreatedStorageAccount(msrest.serialization.Model):
@@ -34213,19 +32327,16 @@ class UserCreatedStorageAccount(msrest.serialization.Model):
     """
 
     _attribute_map = {
-        'arm_resource_id': {'key': 'armResourceId', 'type': 'ArmResourceId'},
+        "arm_resource_id": {"key": "armResourceId", "type": "ArmResourceId"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword arm_resource_id: ARM ResourceId of a resource.
         :paramtype arm_resource_id: ~azure.mgmt.machinelearningservices.models.ArmResourceId
         """
         super(UserCreatedStorageAccount, self).__init__(**kwargs)
-        self.arm_resource_id = kwargs.get('arm_resource_id', None)
+        self.arm_resource_id = kwargs.get("arm_resource_id", None)
 
 
 class UserIdentity(IdentityConfiguration):
@@ -34240,21 +32351,17 @@ class UserIdentity(IdentityConfiguration):
     """
 
     _validation = {
-        'identity_type': {'required': True},
+        "identity_type": {"required": True},
     }
 
     _attribute_map = {
-        'identity_type': {'key': 'identityType', 'type': 'str'},
+        "identity_type": {"key": "identityType", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
-        """
-        """
+    def __init__(self, **kwargs):
+        """ """
         super(UserIdentity, self).__init__(**kwargs)
-        self.identity_type = 'UserIdentity'  # type: str
+        self.identity_type = "UserIdentity"  # type: str
 
 
 class UsernamePasswordAuthTypeWorkspaceConnectionProperties(WorkspaceConnectionPropertiesV2):
@@ -34307,28 +32414,25 @@ class UsernamePasswordAuthTypeWorkspaceConnectionProperties(WorkspaceConnectionP
     """
 
     _validation = {
-        'auth_type': {'required': True},
-        'created_by_workspace_arm_id': {'readonly': True},
-        'group': {'readonly': True},
+        "auth_type": {"required": True},
+        "created_by_workspace_arm_id": {"readonly": True},
+        "group": {"readonly": True},
     }
 
     _attribute_map = {
-        'auth_type': {'key': 'authType', 'type': 'str'},
-        'category': {'key': 'category', 'type': 'str'},
-        'created_by_workspace_arm_id': {'key': 'createdByWorkspaceArmId', 'type': 'str'},
-        'expiry_time': {'key': 'expiryTime', 'type': 'iso-8601'},
-        'group': {'key': 'group', 'type': 'str'},
-        'is_shared_to_all': {'key': 'isSharedToAll', 'type': 'bool'},
-        'metadata': {'key': 'metadata', 'type': 'object'},
-        'shared_user_list': {'key': 'sharedUserList', 'type': '[str]'},
-        'target': {'key': 'target', 'type': 'str'},
-        'credentials': {'key': 'credentials', 'type': 'WorkspaceConnectionUsernamePassword'},
+        "auth_type": {"key": "authType", "type": "str"},
+        "category": {"key": "category", "type": "str"},
+        "created_by_workspace_arm_id": {"key": "createdByWorkspaceArmId", "type": "str"},
+        "expiry_time": {"key": "expiryTime", "type": "iso-8601"},
+        "group": {"key": "group", "type": "str"},
+        "is_shared_to_all": {"key": "isSharedToAll", "type": "bool"},
+        "metadata": {"key": "metadata", "type": "object"},
+        "shared_user_list": {"key": "sharedUserList", "type": "[str]"},
+        "target": {"key": "target", "type": "str"},
+        "credentials": {"key": "credentials", "type": "WorkspaceConnectionUsernamePassword"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword category: Category of the connection. Possible values include: "PythonFeed",
          "ContainerRegistry", "Git", "S3", "Snowflake", "AzureSqlDb", "AzureSynapseAnalytics",
@@ -34363,8 +32467,8 @@ def __init__(
          ~azure.mgmt.machinelearningservices.models.WorkspaceConnectionUsernamePassword
         """
         super(UsernamePasswordAuthTypeWorkspaceConnectionProperties, self).__init__(**kwargs)
-        self.auth_type = 'UsernamePassword'  # type: str
-        self.credentials = kwargs.get('credentials', None)
+        self.auth_type = "UsernamePassword"  # type: str
+        self.credentials = kwargs.get("credentials", None)
 
 
 class VirtualMachineSchema(msrest.serialization.Model):
@@ -34375,20 +32479,17 @@ class VirtualMachineSchema(msrest.serialization.Model):
     """
 
     _attribute_map = {
-        'properties': {'key': 'properties', 'type': 'VirtualMachineSchemaProperties'},
+        "properties": {"key": "properties", "type": "VirtualMachineSchemaProperties"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword properties:
         :paramtype properties:
          ~azure.mgmt.machinelearningservices.models.VirtualMachineSchemaProperties
         """
         super(VirtualMachineSchema, self).__init__(**kwargs)
-        self.properties = kwargs.get('properties', None)
+        self.properties = kwargs.get("properties", None)
 
 
 class VirtualMachine(Compute, VirtualMachineSchema):
@@ -34430,32 +32531,29 @@ class VirtualMachine(Compute, VirtualMachineSchema):
     """
 
     _validation = {
-        'compute_type': {'required': True},
-        'provisioning_state': {'readonly': True},
-        'created_on': {'readonly': True},
-        'modified_on': {'readonly': True},
-        'provisioning_errors': {'readonly': True},
-        'is_attached_compute': {'readonly': True},
+        "compute_type": {"required": True},
+        "provisioning_state": {"readonly": True},
+        "created_on": {"readonly": True},
+        "modified_on": {"readonly": True},
+        "provisioning_errors": {"readonly": True},
+        "is_attached_compute": {"readonly": True},
     }
 
     _attribute_map = {
-        'properties': {'key': 'properties', 'type': 'VirtualMachineSchemaProperties'},
-        'compute_type': {'key': 'computeType', 'type': 'str'},
-        'compute_location': {'key': 'computeLocation', 'type': 'str'},
-        'provisioning_state': {'key': 'provisioningState', 'type': 'str'},
-        'description': {'key': 'description', 'type': 'str'},
-        'created_on': {'key': 'createdOn', 'type': 'iso-8601'},
-        'modified_on': {'key': 'modifiedOn', 'type': 'iso-8601'},
-        'resource_id': {'key': 'resourceId', 'type': 'str'},
-        'provisioning_errors': {'key': 'provisioningErrors', 'type': '[ErrorResponse]'},
-        'is_attached_compute': {'key': 'isAttachedCompute', 'type': 'bool'},
-        'disable_local_auth': {'key': 'disableLocalAuth', 'type': 'bool'},
+        "properties": {"key": "properties", "type": "VirtualMachineSchemaProperties"},
+        "compute_type": {"key": "computeType", "type": "str"},
+        "compute_location": {"key": "computeLocation", "type": "str"},
+        "provisioning_state": {"key": "provisioningState", "type": "str"},
+        "description": {"key": "description", "type": "str"},
+        "created_on": {"key": "createdOn", "type": "iso-8601"},
+        "modified_on": {"key": "modifiedOn", "type": "iso-8601"},
+        "resource_id": {"key": "resourceId", "type": "str"},
+        "provisioning_errors": {"key": "provisioningErrors", "type": "[ErrorResponse]"},
+        "is_attached_compute": {"key": "isAttachedCompute", "type": "bool"},
+        "disable_local_auth": {"key": "disableLocalAuth", "type": "bool"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword properties:
         :paramtype properties:
@@ -34471,17 +32569,17 @@ def __init__(
         :paramtype disable_local_auth: bool
         """
         super(VirtualMachine, self).__init__(**kwargs)
-        self.properties = kwargs.get('properties', None)
-        self.compute_type = 'VirtualMachine'  # type: str
-        self.compute_location = kwargs.get('compute_location', None)
+        self.properties = kwargs.get("properties", None)
+        self.compute_type = "VirtualMachine"  # type: str
+        self.compute_location = kwargs.get("compute_location", None)
         self.provisioning_state = None
-        self.description = kwargs.get('description', None)
+        self.description = kwargs.get("description", None)
         self.created_on = None
         self.modified_on = None
-        self.resource_id = kwargs.get('resource_id', None)
+        self.resource_id = kwargs.get("resource_id", None)
         self.provisioning_errors = None
         self.is_attached_compute = None
-        self.disable_local_auth = kwargs.get('disable_local_auth', None)
+        self.disable_local_auth = kwargs.get("disable_local_auth", None)
 
 
 class VirtualMachineImage(msrest.serialization.Model):
@@ -34494,23 +32592,20 @@ class VirtualMachineImage(msrest.serialization.Model):
     """
 
     _validation = {
-        'id': {'required': True},
+        "id": {"required": True},
     }
 
     _attribute_map = {
-        'id': {'key': 'id', 'type': 'str'},
+        "id": {"key": "id", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword id: Required. Virtual Machine image path.
         :paramtype id: str
         """
         super(VirtualMachineImage, self).__init__(**kwargs)
-        self.id = kwargs['id']
+        self.id = kwargs["id"]
 
 
 class VirtualMachineSchemaProperties(msrest.serialization.Model):
@@ -34533,18 +32628,15 @@ class VirtualMachineSchemaProperties(msrest.serialization.Model):
     """
 
     _attribute_map = {
-        'virtual_machine_size': {'key': 'virtualMachineSize', 'type': 'str'},
-        'ssh_port': {'key': 'sshPort', 'type': 'int'},
-        'notebook_server_port': {'key': 'notebookServerPort', 'type': 'int'},
-        'address': {'key': 'address', 'type': 'str'},
-        'administrator_account': {'key': 'administratorAccount', 'type': 'VirtualMachineSshCredentials'},
-        'is_notebook_instance_compute': {'key': 'isNotebookInstanceCompute', 'type': 'bool'},
+        "virtual_machine_size": {"key": "virtualMachineSize", "type": "str"},
+        "ssh_port": {"key": "sshPort", "type": "int"},
+        "notebook_server_port": {"key": "notebookServerPort", "type": "int"},
+        "address": {"key": "address", "type": "str"},
+        "administrator_account": {"key": "administratorAccount", "type": "VirtualMachineSshCredentials"},
+        "is_notebook_instance_compute": {"key": "isNotebookInstanceCompute", "type": "bool"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword virtual_machine_size: Virtual Machine size.
         :paramtype virtual_machine_size: str
@@ -34562,12 +32654,12 @@ def __init__(
         :paramtype is_notebook_instance_compute: bool
         """
         super(VirtualMachineSchemaProperties, self).__init__(**kwargs)
-        self.virtual_machine_size = kwargs.get('virtual_machine_size', None)
-        self.ssh_port = kwargs.get('ssh_port', None)
-        self.notebook_server_port = kwargs.get('notebook_server_port', None)
-        self.address = kwargs.get('address', None)
-        self.administrator_account = kwargs.get('administrator_account', None)
-        self.is_notebook_instance_compute = kwargs.get('is_notebook_instance_compute', None)
+        self.virtual_machine_size = kwargs.get("virtual_machine_size", None)
+        self.ssh_port = kwargs.get("ssh_port", None)
+        self.notebook_server_port = kwargs.get("notebook_server_port", None)
+        self.address = kwargs.get("address", None)
+        self.administrator_account = kwargs.get("administrator_account", None)
+        self.is_notebook_instance_compute = kwargs.get("is_notebook_instance_compute", None)
 
 
 class VirtualMachineSecretsSchema(msrest.serialization.Model):
@@ -34579,20 +32671,17 @@ class VirtualMachineSecretsSchema(msrest.serialization.Model):
     """
 
     _attribute_map = {
-        'administrator_account': {'key': 'administratorAccount', 'type': 'VirtualMachineSshCredentials'},
+        "administrator_account": {"key": "administratorAccount", "type": "VirtualMachineSshCredentials"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword administrator_account: Admin credentials for virtual machine.
         :paramtype administrator_account:
          ~azure.mgmt.machinelearningservices.models.VirtualMachineSshCredentials
         """
         super(VirtualMachineSecretsSchema, self).__init__(**kwargs)
-        self.administrator_account = kwargs.get('administrator_account', None)
+        self.administrator_account = kwargs.get("administrator_account", None)
 
 
 class VirtualMachineSecrets(ComputeSecrets, VirtualMachineSecretsSchema):
@@ -34610,26 +32699,23 @@ class VirtualMachineSecrets(ComputeSecrets, VirtualMachineSecretsSchema):
     """
 
     _validation = {
-        'compute_type': {'required': True},
+        "compute_type": {"required": True},
     }
 
     _attribute_map = {
-        'administrator_account': {'key': 'administratorAccount', 'type': 'VirtualMachineSshCredentials'},
-        'compute_type': {'key': 'computeType', 'type': 'str'},
+        "administrator_account": {"key": "administratorAccount", "type": "VirtualMachineSshCredentials"},
+        "compute_type": {"key": "computeType", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword administrator_account: Admin credentials for virtual machine.
         :paramtype administrator_account:
          ~azure.mgmt.machinelearningservices.models.VirtualMachineSshCredentials
         """
         super(VirtualMachineSecrets, self).__init__(**kwargs)
-        self.administrator_account = kwargs.get('administrator_account', None)
-        self.compute_type = 'VirtualMachine'  # type: str
+        self.administrator_account = kwargs.get("administrator_account", None)
+        self.compute_type = "VirtualMachine"  # type: str
 
 
 class VirtualMachineSize(msrest.serialization.Model):
@@ -34664,35 +32750,32 @@ class VirtualMachineSize(msrest.serialization.Model):
     """
 
     _validation = {
-        'name': {'readonly': True},
-        'family': {'readonly': True},
-        'v_cp_us': {'readonly': True},
-        'gpus': {'readonly': True},
-        'os_vhd_size_mb': {'readonly': True},
-        'max_resource_volume_mb': {'readonly': True},
-        'memory_gb': {'readonly': True},
-        'low_priority_capable': {'readonly': True},
-        'premium_io': {'readonly': True},
+        "name": {"readonly": True},
+        "family": {"readonly": True},
+        "v_cp_us": {"readonly": True},
+        "gpus": {"readonly": True},
+        "os_vhd_size_mb": {"readonly": True},
+        "max_resource_volume_mb": {"readonly": True},
+        "memory_gb": {"readonly": True},
+        "low_priority_capable": {"readonly": True},
+        "premium_io": {"readonly": True},
     }
 
     _attribute_map = {
-        'name': {'key': 'name', 'type': 'str'},
-        'family': {'key': 'family', 'type': 'str'},
-        'v_cp_us': {'key': 'vCPUs', 'type': 'int'},
-        'gpus': {'key': 'gpus', 'type': 'int'},
-        'os_vhd_size_mb': {'key': 'osVhdSizeMB', 'type': 'int'},
-        'max_resource_volume_mb': {'key': 'maxResourceVolumeMB', 'type': 'int'},
-        'memory_gb': {'key': 'memoryGB', 'type': 'float'},
-        'low_priority_capable': {'key': 'lowPriorityCapable', 'type': 'bool'},
-        'premium_io': {'key': 'premiumIO', 'type': 'bool'},
-        'estimated_vm_prices': {'key': 'estimatedVMPrices', 'type': 'EstimatedVMPrices'},
-        'supported_compute_types': {'key': 'supportedComputeTypes', 'type': '[str]'},
+        "name": {"key": "name", "type": "str"},
+        "family": {"key": "family", "type": "str"},
+        "v_cp_us": {"key": "vCPUs", "type": "int"},
+        "gpus": {"key": "gpus", "type": "int"},
+        "os_vhd_size_mb": {"key": "osVhdSizeMB", "type": "int"},
+        "max_resource_volume_mb": {"key": "maxResourceVolumeMB", "type": "int"},
+        "memory_gb": {"key": "memoryGB", "type": "float"},
+        "low_priority_capable": {"key": "lowPriorityCapable", "type": "bool"},
+        "premium_io": {"key": "premiumIO", "type": "bool"},
+        "estimated_vm_prices": {"key": "estimatedVMPrices", "type": "EstimatedVMPrices"},
+        "supported_compute_types": {"key": "supportedComputeTypes", "type": "[str]"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword estimated_vm_prices: The estimated price information for using a VM.
         :paramtype estimated_vm_prices: ~azure.mgmt.machinelearningservices.models.EstimatedVMPrices
@@ -34710,8 +32793,8 @@ def __init__(
         self.memory_gb = None
         self.low_priority_capable = None
         self.premium_io = None
-        self.estimated_vm_prices = kwargs.get('estimated_vm_prices', None)
-        self.supported_compute_types = kwargs.get('supported_compute_types', None)
+        self.estimated_vm_prices = kwargs.get("estimated_vm_prices", None)
+        self.supported_compute_types = kwargs.get("supported_compute_types", None)
 
 
 class VirtualMachineSizeListResult(msrest.serialization.Model):
@@ -34722,19 +32805,16 @@ class VirtualMachineSizeListResult(msrest.serialization.Model):
     """
 
     _attribute_map = {
-        'value': {'key': 'value', 'type': '[VirtualMachineSize]'},
+        "value": {"key": "value", "type": "[VirtualMachineSize]"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword value: The list of virtual machine sizes supported by AmlCompute.
         :paramtype value: list[~azure.mgmt.machinelearningservices.models.VirtualMachineSize]
         """
         super(VirtualMachineSizeListResult, self).__init__(**kwargs)
-        self.value = kwargs.get('value', None)
+        self.value = kwargs.get("value", None)
 
 
 class VirtualMachineSshCredentials(msrest.serialization.Model):
@@ -34751,16 +32831,13 @@ class VirtualMachineSshCredentials(msrest.serialization.Model):
     """
 
     _attribute_map = {
-        'username': {'key': 'username', 'type': 'str'},
-        'password': {'key': 'password', 'type': 'str'},
-        'public_key_data': {'key': 'publicKeyData', 'type': 'str'},
-        'private_key_data': {'key': 'privateKeyData', 'type': 'str'},
+        "username": {"key": "username", "type": "str"},
+        "password": {"key": "password", "type": "str"},
+        "public_key_data": {"key": "publicKeyData", "type": "str"},
+        "private_key_data": {"key": "privateKeyData", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword username: Username of admin account.
         :paramtype username: str
@@ -34772,10 +32849,10 @@ def __init__(
         :paramtype private_key_data: str
         """
         super(VirtualMachineSshCredentials, self).__init__(**kwargs)
-        self.username = kwargs.get('username', None)
-        self.password = kwargs.get('password', None)
-        self.public_key_data = kwargs.get('public_key_data', None)
-        self.private_key_data = kwargs.get('private_key_data', None)
+        self.username = kwargs.get("username", None)
+        self.password = kwargs.get("password", None)
+        self.public_key_data = kwargs.get("public_key_data", None)
+        self.private_key_data = kwargs.get("private_key_data", None)
 
 
 class VolumeDefinition(msrest.serialization.Model):
@@ -34801,20 +32878,17 @@ class VolumeDefinition(msrest.serialization.Model):
     """
 
     _attribute_map = {
-        'type': {'key': 'type', 'type': 'str'},
-        'read_only': {'key': 'readOnly', 'type': 'bool'},
-        'source': {'key': 'source', 'type': 'str'},
-        'target': {'key': 'target', 'type': 'str'},
-        'consistency': {'key': 'consistency', 'type': 'str'},
-        'bind': {'key': 'bind', 'type': 'BindOptions'},
-        'volume': {'key': 'volume', 'type': 'VolumeOptions'},
-        'tmpfs': {'key': 'tmpfs', 'type': 'TmpfsOptions'},
+        "type": {"key": "type", "type": "str"},
+        "read_only": {"key": "readOnly", "type": "bool"},
+        "source": {"key": "source", "type": "str"},
+        "target": {"key": "target", "type": "str"},
+        "consistency": {"key": "consistency", "type": "str"},
+        "bind": {"key": "bind", "type": "BindOptions"},
+        "volume": {"key": "volume", "type": "VolumeOptions"},
+        "tmpfs": {"key": "tmpfs", "type": "TmpfsOptions"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword type: Type of Volume Definition. Possible Values: bind,volume,tmpfs,npipe. Possible
          values include: "bind", "volume", "tmpfs", "npipe". Default value: "bind".
@@ -34836,14 +32910,14 @@ def __init__(
         :paramtype tmpfs: ~azure.mgmt.machinelearningservices.models.TmpfsOptions
         """
         super(VolumeDefinition, self).__init__(**kwargs)
-        self.type = kwargs.get('type', "bind")
-        self.read_only = kwargs.get('read_only', None)
-        self.source = kwargs.get('source', None)
-        self.target = kwargs.get('target', None)
-        self.consistency = kwargs.get('consistency', None)
-        self.bind = kwargs.get('bind', None)
-        self.volume = kwargs.get('volume', None)
-        self.tmpfs = kwargs.get('tmpfs', None)
+        self.type = kwargs.get("type", "bind")
+        self.read_only = kwargs.get("read_only", None)
+        self.source = kwargs.get("source", None)
+        self.target = kwargs.get("target", None)
+        self.consistency = kwargs.get("consistency", None)
+        self.bind = kwargs.get("bind", None)
+        self.volume = kwargs.get("volume", None)
+        self.tmpfs = kwargs.get("tmpfs", None)
 
 
 class VolumeOptions(msrest.serialization.Model):
@@ -34854,19 +32928,16 @@ class VolumeOptions(msrest.serialization.Model):
     """
 
     _attribute_map = {
-        'nocopy': {'key': 'nocopy', 'type': 'bool'},
+        "nocopy": {"key": "nocopy", "type": "bool"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword nocopy: Indicate whether volume is nocopy.
         :paramtype nocopy: bool
         """
         super(VolumeOptions, self).__init__(**kwargs)
-        self.nocopy = kwargs.get('nocopy', None)
+        self.nocopy = kwargs.get("nocopy", None)
 
 
 class Workspace(Resource):
@@ -35002,81 +33073,86 @@ class Workspace(Resource):
     """
 
     _validation = {
-        'id': {'readonly': True},
-        'name': {'readonly': True},
-        'type': {'readonly': True},
-        'system_data': {'readonly': True},
-        'ml_flow_tracking_uri': {'readonly': True},
-        'notebook_info': {'readonly': True},
-        'private_endpoint_connections': {'readonly': True},
-        'private_link_count': {'readonly': True},
-        'provisioning_state': {'readonly': True},
-        'service_provisioned_resource_group': {'readonly': True},
-        'storage_hns_enabled': {'readonly': True},
-        'tenant_id': {'readonly': True},
-        'workspace_id': {'readonly': True},
-    }
-
-    _attribute_map = {
-        'id': {'key': 'id', 'type': 'str'},
-        'name': {'key': 'name', 'type': 'str'},
-        'type': {'key': 'type', 'type': 'str'},
-        'system_data': {'key': 'systemData', 'type': 'SystemData'},
-        'identity': {'key': 'identity', 'type': 'ManagedServiceIdentity'},
-        'kind': {'key': 'kind', 'type': 'str'},
-        'location': {'key': 'location', 'type': 'str'},
-        'sku': {'key': 'sku', 'type': 'Sku'},
-        'tags': {'key': 'tags', 'type': '{str}'},
-        'allow_public_access_when_behind_vnet': {'key': 'properties.allowPublicAccessWhenBehindVnet', 'type': 'bool'},
-        'application_insights': {'key': 'properties.applicationInsights', 'type': 'str'},
-        'associated_workspaces': {'key': 'properties.associatedWorkspaces', 'type': '[str]'},
-        'container_registries': {'key': 'properties.containerRegistries', 'type': '[str]'},
-        'container_registry': {'key': 'properties.containerRegistry', 'type': 'str'},
-        'description': {'key': 'properties.description', 'type': 'str'},
-        'discovery_url': {'key': 'properties.discoveryUrl', 'type': 'str'},
-        'enable_data_isolation': {'key': 'properties.enableDataIsolation', 'type': 'bool'},
-        'enable_software_bill_of_materials': {'key': 'properties.enableSoftwareBillOfMaterials', 'type': 'bool'},
-        'encryption': {'key': 'properties.encryption', 'type': 'EncryptionProperty'},
-        'existing_workspaces': {'key': 'properties.existingWorkspaces', 'type': '[str]'},
-        'feature_store_settings': {'key': 'properties.featureStoreSettings', 'type': 'FeatureStoreSettings'},
-        'friendly_name': {'key': 'properties.friendlyName', 'type': 'str'},
-        'hbi_workspace': {'key': 'properties.hbiWorkspace', 'type': 'bool'},
-        'hub_resource_id': {'key': 'properties.hubResourceId', 'type': 'str'},
-        'image_build_compute': {'key': 'properties.imageBuildCompute', 'type': 'str'},
-        'ip_allowlist': {'key': 'properties.ipAllowlist', 'type': '[str]'},
-        'key_vault': {'key': 'properties.keyVault', 'type': 'str'},
-        'key_vaults': {'key': 'properties.keyVaults', 'type': '[str]'},
-        'managed_network': {'key': 'properties.managedNetwork', 'type': 'ManagedNetworkSettings'},
-        'ml_flow_tracking_uri': {'key': 'properties.mlFlowTrackingUri', 'type': 'str'},
-        'notebook_info': {'key': 'properties.notebookInfo', 'type': 'NotebookResourceInfo'},
-        'primary_user_assigned_identity': {'key': 'properties.primaryUserAssignedIdentity', 'type': 'str'},
-        'private_endpoint_connections': {'key': 'properties.privateEndpointConnections',
-                                         'type': '[PrivateEndpointConnection]'},
-        'private_link_count': {'key': 'properties.privateLinkCount', 'type': 'int'},
-        'provisioning_state': {'key': 'properties.provisioningState', 'type': 'str'},
-        'public_network_access': {'key': 'properties.publicNetworkAccess', 'type': 'str'},
-        'serverless_compute_settings': {'key': 'properties.serverlessComputeSettings',
-                                        'type': 'ServerlessComputeSettings'},
-        'service_managed_resources_settings': {'key': 'properties.serviceManagedResourcesSettings',
-                                               'type': 'ServiceManagedResourcesSettings'},
-        'service_provisioned_resource_group': {'key': 'properties.serviceProvisionedResourceGroup', 'type': 'str'},
-        'shared_private_link_resources': {'key': 'properties.sharedPrivateLinkResources',
-                                          'type': '[SharedPrivateLinkResource]'},
-        'soft_delete_retention_in_days': {'key': 'properties.softDeleteRetentionInDays', 'type': 'int'},
-        'storage_account': {'key': 'properties.storageAccount', 'type': 'str'},
-        'storage_accounts': {'key': 'properties.storageAccounts', 'type': '[str]'},
-        'storage_hns_enabled': {'key': 'properties.storageHnsEnabled', 'type': 'bool'},
-        'system_datastores_auth_mode': {'key': 'properties.systemDatastoresAuthMode', 'type': 'str'},
-        'tenant_id': {'key': 'properties.tenantId', 'type': 'str'},
-        'v1_legacy_mode': {'key': 'properties.v1LegacyMode', 'type': 'bool'},
-        'workspace_hub_config': {'key': 'properties.workspaceHubConfig', 'type': 'WorkspaceHubConfig'},
-        'workspace_id': {'key': 'properties.workspaceId', 'type': 'str'},
-    }
-
-    def __init__(
-            self,
-            **kwargs
-    ):
+        "id": {"readonly": True},
+        "name": {"readonly": True},
+        "type": {"readonly": True},
+        "system_data": {"readonly": True},
+        "ml_flow_tracking_uri": {"readonly": True},
+        "notebook_info": {"readonly": True},
+        "private_endpoint_connections": {"readonly": True},
+        "private_link_count": {"readonly": True},
+        "provisioning_state": {"readonly": True},
+        "service_provisioned_resource_group": {"readonly": True},
+        "storage_hns_enabled": {"readonly": True},
+        "tenant_id": {"readonly": True},
+        "workspace_id": {"readonly": True},
+    }
+
+    _attribute_map = {
+        "id": {"key": "id", "type": "str"},
+        "name": {"key": "name", "type": "str"},
+        "type": {"key": "type", "type": "str"},
+        "system_data": {"key": "systemData", "type": "SystemData"},
+        "identity": {"key": "identity", "type": "ManagedServiceIdentity"},
+        "kind": {"key": "kind", "type": "str"},
+        "location": {"key": "location", "type": "str"},
+        "sku": {"key": "sku", "type": "Sku"},
+        "tags": {"key": "tags", "type": "{str}"},
+        "allow_public_access_when_behind_vnet": {"key": "properties.allowPublicAccessWhenBehindVnet", "type": "bool"},
+        "application_insights": {"key": "properties.applicationInsights", "type": "str"},
+        "associated_workspaces": {"key": "properties.associatedWorkspaces", "type": "[str]"},
+        "container_registries": {"key": "properties.containerRegistries", "type": "[str]"},
+        "container_registry": {"key": "properties.containerRegistry", "type": "str"},
+        "description": {"key": "properties.description", "type": "str"},
+        "discovery_url": {"key": "properties.discoveryUrl", "type": "str"},
+        "enable_data_isolation": {"key": "properties.enableDataIsolation", "type": "bool"},
+        "enable_software_bill_of_materials": {"key": "properties.enableSoftwareBillOfMaterials", "type": "bool"},
+        "encryption": {"key": "properties.encryption", "type": "EncryptionProperty"},
+        "existing_workspaces": {"key": "properties.existingWorkspaces", "type": "[str]"},
+        "feature_store_settings": {"key": "properties.featureStoreSettings", "type": "FeatureStoreSettings"},
+        "friendly_name": {"key": "properties.friendlyName", "type": "str"},
+        "hbi_workspace": {"key": "properties.hbiWorkspace", "type": "bool"},
+        "hub_resource_id": {"key": "properties.hubResourceId", "type": "str"},
+        "image_build_compute": {"key": "properties.imageBuildCompute", "type": "str"},
+        "ip_allowlist": {"key": "properties.ipAllowlist", "type": "[str]"},
+        "key_vault": {"key": "properties.keyVault", "type": "str"},
+        "key_vaults": {"key": "properties.keyVaults", "type": "[str]"},
+        "managed_network": {"key": "properties.managedNetwork", "type": "ManagedNetworkSettings"},
+        "ml_flow_tracking_uri": {"key": "properties.mlFlowTrackingUri", "type": "str"},
+        "notebook_info": {"key": "properties.notebookInfo", "type": "NotebookResourceInfo"},
+        "primary_user_assigned_identity": {"key": "properties.primaryUserAssignedIdentity", "type": "str"},
+        "private_endpoint_connections": {
+            "key": "properties.privateEndpointConnections",
+            "type": "[PrivateEndpointConnection]",
+        },
+        "private_link_count": {"key": "properties.privateLinkCount", "type": "int"},
+        "provisioning_state": {"key": "properties.provisioningState", "type": "str"},
+        "public_network_access": {"key": "properties.publicNetworkAccess", "type": "str"},
+        "serverless_compute_settings": {
+            "key": "properties.serverlessComputeSettings",
+            "type": "ServerlessComputeSettings",
+        },
+        "service_managed_resources_settings": {
+            "key": "properties.serviceManagedResourcesSettings",
+            "type": "ServiceManagedResourcesSettings",
+        },
+        "service_provisioned_resource_group": {"key": "properties.serviceProvisionedResourceGroup", "type": "str"},
+        "shared_private_link_resources": {
+            "key": "properties.sharedPrivateLinkResources",
+            "type": "[SharedPrivateLinkResource]",
+        },
+        "soft_delete_retention_in_days": {"key": "properties.softDeleteRetentionInDays", "type": "int"},
+        "storage_account": {"key": "properties.storageAccount", "type": "str"},
+        "storage_accounts": {"key": "properties.storageAccounts", "type": "[str]"},
+        "storage_hns_enabled": {"key": "properties.storageHnsEnabled", "type": "bool"},
+        "system_datastores_auth_mode": {"key": "properties.systemDatastoresAuthMode", "type": "str"},
+        "tenant_id": {"key": "properties.tenantId", "type": "str"},
+        "v1_legacy_mode": {"key": "properties.v1LegacyMode", "type": "bool"},
+        "workspace_hub_config": {"key": "properties.workspaceHubConfig", "type": "WorkspaceHubConfig"},
+        "workspace_id": {"key": "properties.workspaceId", "type": "str"},
+    }
+
+    def __init__(self, **kwargs):
         """
         :keyword identity: Managed service identity (system assigned and/or user assigned identities).
         :paramtype identity: ~azure.mgmt.machinelearningservices.models.ManagedServiceIdentity
@@ -35171,50 +33247,50 @@ def __init__(
         :paramtype workspace_hub_config: ~azure.mgmt.machinelearningservices.models.WorkspaceHubConfig
         """
         super(Workspace, self).__init__(**kwargs)
-        self.identity = kwargs.get('identity', None)
-        self.kind = kwargs.get('kind', None)
-        self.location = kwargs.get('location', None)
-        self.sku = kwargs.get('sku', None)
-        self.tags = kwargs.get('tags', None)
-        self.allow_public_access_when_behind_vnet = kwargs.get('allow_public_access_when_behind_vnet', None)
-        self.application_insights = kwargs.get('application_insights', None)
-        self.associated_workspaces = kwargs.get('associated_workspaces', None)
-        self.container_registries = kwargs.get('container_registries', None)
-        self.container_registry = kwargs.get('container_registry', None)
-        self.description = kwargs.get('description', None)
-        self.discovery_url = kwargs.get('discovery_url', None)
-        self.enable_data_isolation = kwargs.get('enable_data_isolation', None)
-        self.enable_software_bill_of_materials = kwargs.get('enable_software_bill_of_materials', None)
-        self.encryption = kwargs.get('encryption', None)
-        self.existing_workspaces = kwargs.get('existing_workspaces', None)
-        self.feature_store_settings = kwargs.get('feature_store_settings', None)
-        self.friendly_name = kwargs.get('friendly_name', None)
-        self.hbi_workspace = kwargs.get('hbi_workspace', None)
-        self.hub_resource_id = kwargs.get('hub_resource_id', None)
-        self.image_build_compute = kwargs.get('image_build_compute', None)
-        self.ip_allowlist = kwargs.get('ip_allowlist', None)
-        self.key_vault = kwargs.get('key_vault', None)
-        self.key_vaults = kwargs.get('key_vaults', None)
-        self.managed_network = kwargs.get('managed_network', None)
+        self.identity = kwargs.get("identity", None)
+        self.kind = kwargs.get("kind", None)
+        self.location = kwargs.get("location", None)
+        self.sku = kwargs.get("sku", None)
+        self.tags = kwargs.get("tags", None)
+        self.allow_public_access_when_behind_vnet = kwargs.get("allow_public_access_when_behind_vnet", None)
+        self.application_insights = kwargs.get("application_insights", None)
+        self.associated_workspaces = kwargs.get("associated_workspaces", None)
+        self.container_registries = kwargs.get("container_registries", None)
+        self.container_registry = kwargs.get("container_registry", None)
+        self.description = kwargs.get("description", None)
+        self.discovery_url = kwargs.get("discovery_url", None)
+        self.enable_data_isolation = kwargs.get("enable_data_isolation", None)
+        self.enable_software_bill_of_materials = kwargs.get("enable_software_bill_of_materials", None)
+        self.encryption = kwargs.get("encryption", None)
+        self.existing_workspaces = kwargs.get("existing_workspaces", None)
+        self.feature_store_settings = kwargs.get("feature_store_settings", None)
+        self.friendly_name = kwargs.get("friendly_name", None)
+        self.hbi_workspace = kwargs.get("hbi_workspace", None)
+        self.hub_resource_id = kwargs.get("hub_resource_id", None)
+        self.image_build_compute = kwargs.get("image_build_compute", None)
+        self.ip_allowlist = kwargs.get("ip_allowlist", None)
+        self.key_vault = kwargs.get("key_vault", None)
+        self.key_vaults = kwargs.get("key_vaults", None)
+        self.managed_network = kwargs.get("managed_network", None)
         self.ml_flow_tracking_uri = None
         self.notebook_info = None
-        self.primary_user_assigned_identity = kwargs.get('primary_user_assigned_identity', None)
+        self.primary_user_assigned_identity = kwargs.get("primary_user_assigned_identity", None)
         self.private_endpoint_connections = None
         self.private_link_count = None
         self.provisioning_state = None
-        self.public_network_access = kwargs.get('public_network_access', None)
-        self.serverless_compute_settings = kwargs.get('serverless_compute_settings', None)
-        self.service_managed_resources_settings = kwargs.get('service_managed_resources_settings', None)
+        self.public_network_access = kwargs.get("public_network_access", None)
+        self.serverless_compute_settings = kwargs.get("serverless_compute_settings", None)
+        self.service_managed_resources_settings = kwargs.get("service_managed_resources_settings", None)
         self.service_provisioned_resource_group = None
-        self.shared_private_link_resources = kwargs.get('shared_private_link_resources', None)
-        self.soft_delete_retention_in_days = kwargs.get('soft_delete_retention_in_days', None)
-        self.storage_account = kwargs.get('storage_account', None)
-        self.storage_accounts = kwargs.get('storage_accounts', None)
+        self.shared_private_link_resources = kwargs.get("shared_private_link_resources", None)
+        self.soft_delete_retention_in_days = kwargs.get("soft_delete_retention_in_days", None)
+        self.storage_account = kwargs.get("storage_account", None)
+        self.storage_accounts = kwargs.get("storage_accounts", None)
         self.storage_hns_enabled = None
-        self.system_datastores_auth_mode = kwargs.get('system_datastores_auth_mode', None)
+        self.system_datastores_auth_mode = kwargs.get("system_datastores_auth_mode", None)
         self.tenant_id = None
-        self.v1_legacy_mode = kwargs.get('v1_legacy_mode', None)
-        self.workspace_hub_config = kwargs.get('workspace_hub_config', None)
+        self.v1_legacy_mode = kwargs.get("v1_legacy_mode", None)
+        self.workspace_hub_config = kwargs.get("workspace_hub_config", None)
         self.workspace_id = None
 
 
@@ -35228,14 +33304,11 @@ class WorkspaceConnectionAccessKey(msrest.serialization.Model):
     """
 
     _attribute_map = {
-        'access_key_id': {'key': 'accessKeyId', 'type': 'str'},
-        'secret_access_key': {'key': 'secretAccessKey', 'type': 'str'},
+        "access_key_id": {"key": "accessKeyId", "type": "str"},
+        "secret_access_key": {"key": "secretAccessKey", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword access_key_id:
         :paramtype access_key_id: str
@@ -35243,8 +33316,8 @@ def __init__(
         :paramtype secret_access_key: str
         """
         super(WorkspaceConnectionAccessKey, self).__init__(**kwargs)
-        self.access_key_id = kwargs.get('access_key_id', None)
-        self.secret_access_key = kwargs.get('secret_access_key', None)
+        self.access_key_id = kwargs.get("access_key_id", None)
+        self.secret_access_key = kwargs.get("secret_access_key", None)
 
 
 class WorkspaceConnectionApiKey(msrest.serialization.Model):
@@ -35255,19 +33328,16 @@ class WorkspaceConnectionApiKey(msrest.serialization.Model):
     """
 
     _attribute_map = {
-        'key': {'key': 'key', 'type': 'str'},
+        "key": {"key": "key", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword key:
         :paramtype key: str
         """
         super(WorkspaceConnectionApiKey, self).__init__(**kwargs)
-        self.key = kwargs.get('key', None)
+        self.key = kwargs.get("key", None)
 
 
 class WorkspaceConnectionManagedIdentity(msrest.serialization.Model):
@@ -35280,14 +33350,11 @@ class WorkspaceConnectionManagedIdentity(msrest.serialization.Model):
     """
 
     _attribute_map = {
-        'client_id': {'key': 'clientId', 'type': 'str'},
-        'resource_id': {'key': 'resourceId', 'type': 'str'},
+        "client_id": {"key": "clientId", "type": "str"},
+        "resource_id": {"key": "resourceId", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword client_id:
         :paramtype client_id: str
@@ -35295,50 +33362,47 @@ def __init__(
         :paramtype resource_id: str
         """
         super(WorkspaceConnectionManagedIdentity, self).__init__(**kwargs)
-        self.client_id = kwargs.get('client_id', None)
-        self.resource_id = kwargs.get('resource_id', None)
+        self.client_id = kwargs.get("client_id", None)
+        self.resource_id = kwargs.get("resource_id", None)
 
 
 class WorkspaceConnectionOAuth2(msrest.serialization.Model):
     """ClientId and ClientSecret are required. Other properties are optional
-depending on each OAuth2 provider's implementation.
-
-    :ivar auth_url: Required by Concur connection category.
-    :vartype auth_url: str
-    :ivar client_id: Client id in the format of UUID.
-    :vartype client_id: str
-    :ivar client_secret:
-    :vartype client_secret: str
-    :ivar developer_token: Required by GoogleAdWords connection category.
-    :vartype developer_token: str
-    :ivar password:
-    :vartype password: str
-    :ivar refresh_token: Required by GoogleBigQuery, GoogleAdWords, Hubspot, QuickBooks, Square,
-     Xero, Zoho
-     where user needs to get RefreshToken offline.
-    :vartype refresh_token: str
-    :ivar tenant_id: Required by QuickBooks and Xero connection categories.
-    :vartype tenant_id: str
-    :ivar username: Concur, ServiceNow auth server AccessToken grant type is 'Password'
-     which requires UsernamePassword.
-    :vartype username: str
+    depending on each OAuth2 provider's implementation.
+
+        :ivar auth_url: Required by Concur connection category.
+        :vartype auth_url: str
+        :ivar client_id: Client id in the format of UUID.
+        :vartype client_id: str
+        :ivar client_secret:
+        :vartype client_secret: str
+        :ivar developer_token: Required by GoogleAdWords connection category.
+        :vartype developer_token: str
+        :ivar password:
+        :vartype password: str
+        :ivar refresh_token: Required by GoogleBigQuery, GoogleAdWords, Hubspot, QuickBooks, Square,
+         Xero, Zoho
+         where user needs to get RefreshToken offline.
+        :vartype refresh_token: str
+        :ivar tenant_id: Required by QuickBooks and Xero connection categories.
+        :vartype tenant_id: str
+        :ivar username: Concur, ServiceNow auth server AccessToken grant type is 'Password'
+         which requires UsernamePassword.
+        :vartype username: str
     """
 
     _attribute_map = {
-        'auth_url': {'key': 'authUrl', 'type': 'str'},
-        'client_id': {'key': 'clientId', 'type': 'str'},
-        'client_secret': {'key': 'clientSecret', 'type': 'str'},
-        'developer_token': {'key': 'developerToken', 'type': 'str'},
-        'password': {'key': 'password', 'type': 'str'},
-        'refresh_token': {'key': 'refreshToken', 'type': 'str'},
-        'tenant_id': {'key': 'tenantId', 'type': 'str'},
-        'username': {'key': 'username', 'type': 'str'},
+        "auth_url": {"key": "authUrl", "type": "str"},
+        "client_id": {"key": "clientId", "type": "str"},
+        "client_secret": {"key": "clientSecret", "type": "str"},
+        "developer_token": {"key": "developerToken", "type": "str"},
+        "password": {"key": "password", "type": "str"},
+        "refresh_token": {"key": "refreshToken", "type": "str"},
+        "tenant_id": {"key": "tenantId", "type": "str"},
+        "username": {"key": "username", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword auth_url: Required by Concur connection category.
         :paramtype auth_url: str
@@ -35361,14 +33425,14 @@ def __init__(
         :paramtype username: str
         """
         super(WorkspaceConnectionOAuth2, self).__init__(**kwargs)
-        self.auth_url = kwargs.get('auth_url', None)
-        self.client_id = kwargs.get('client_id', None)
-        self.client_secret = kwargs.get('client_secret', None)
-        self.developer_token = kwargs.get('developer_token', None)
-        self.password = kwargs.get('password', None)
-        self.refresh_token = kwargs.get('refresh_token', None)
-        self.tenant_id = kwargs.get('tenant_id', None)
-        self.username = kwargs.get('username', None)
+        self.auth_url = kwargs.get("auth_url", None)
+        self.client_id = kwargs.get("client_id", None)
+        self.client_secret = kwargs.get("client_secret", None)
+        self.developer_token = kwargs.get("developer_token", None)
+        self.password = kwargs.get("password", None)
+        self.refresh_token = kwargs.get("refresh_token", None)
+        self.tenant_id = kwargs.get("tenant_id", None)
+        self.username = kwargs.get("username", None)
 
 
 class WorkspaceConnectionPersonalAccessToken(msrest.serialization.Model):
@@ -35379,19 +33443,16 @@ class WorkspaceConnectionPersonalAccessToken(msrest.serialization.Model):
     """
 
     _attribute_map = {
-        'pat': {'key': 'pat', 'type': 'str'},
+        "pat": {"key": "pat", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword pat:
         :paramtype pat: str
         """
         super(WorkspaceConnectionPersonalAccessToken, self).__init__(**kwargs)
-        self.pat = kwargs.get('pat', None)
+        self.pat = kwargs.get("pat", None)
 
 
 class WorkspaceConnectionPropertiesV2BasicResource(Resource):
@@ -35417,32 +33478,29 @@ class WorkspaceConnectionPropertiesV2BasicResource(Resource):
     """
 
     _validation = {
-        'id': {'readonly': True},
-        'name': {'readonly': True},
-        'type': {'readonly': True},
-        'system_data': {'readonly': True},
-        'properties': {'required': True},
+        "id": {"readonly": True},
+        "name": {"readonly": True},
+        "type": {"readonly": True},
+        "system_data": {"readonly": True},
+        "properties": {"required": True},
     }
 
     _attribute_map = {
-        'id': {'key': 'id', 'type': 'str'},
-        'name': {'key': 'name', 'type': 'str'},
-        'type': {'key': 'type', 'type': 'str'},
-        'system_data': {'key': 'systemData', 'type': 'SystemData'},
-        'properties': {'key': 'properties', 'type': 'WorkspaceConnectionPropertiesV2'},
+        "id": {"key": "id", "type": "str"},
+        "name": {"key": "name", "type": "str"},
+        "type": {"key": "type", "type": "str"},
+        "system_data": {"key": "systemData", "type": "SystemData"},
+        "properties": {"key": "properties", "type": "WorkspaceConnectionPropertiesV2"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword properties: Required.
         :paramtype properties:
          ~azure.mgmt.machinelearningservices.models.WorkspaceConnectionPropertiesV2
         """
         super(WorkspaceConnectionPropertiesV2BasicResource, self).__init__(**kwargs)
-        self.properties = kwargs['properties']
+        self.properties = kwargs["properties"]
 
 
 class WorkspaceConnectionPropertiesV2BasicResourceArmPaginatedResult(msrest.serialization.Model):
@@ -35456,14 +33514,11 @@ class WorkspaceConnectionPropertiesV2BasicResourceArmPaginatedResult(msrest.seri
     """
 
     _attribute_map = {
-        'next_link': {'key': 'nextLink', 'type': 'str'},
-        'value': {'key': 'value', 'type': '[WorkspaceConnectionPropertiesV2BasicResource]'},
+        "next_link": {"key": "nextLink", "type": "str"},
+        "value": {"key": "value", "type": "[WorkspaceConnectionPropertiesV2BasicResource]"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword next_link:
         :paramtype next_link: str
@@ -35472,8 +33527,8 @@ def __init__(
          list[~azure.mgmt.machinelearningservices.models.WorkspaceConnectionPropertiesV2BasicResource]
         """
         super(WorkspaceConnectionPropertiesV2BasicResourceArmPaginatedResult, self).__init__(**kwargs)
-        self.next_link = kwargs.get('next_link', None)
-        self.value = kwargs.get('value', None)
+        self.next_link = kwargs.get("next_link", None)
+        self.value = kwargs.get("value", None)
 
 
 class WorkspaceConnectionServicePrincipal(msrest.serialization.Model):
@@ -35488,15 +33543,12 @@ class WorkspaceConnectionServicePrincipal(msrest.serialization.Model):
     """
 
     _attribute_map = {
-        'client_id': {'key': 'clientId', 'type': 'str'},
-        'client_secret': {'key': 'clientSecret', 'type': 'str'},
-        'tenant_id': {'key': 'tenantId', 'type': 'str'},
+        "client_id": {"key": "clientId", "type": "str"},
+        "client_secret": {"key": "clientSecret", "type": "str"},
+        "tenant_id": {"key": "tenantId", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword client_id:
         :paramtype client_id: str
@@ -35506,9 +33558,9 @@ def __init__(
         :paramtype tenant_id: str
         """
         super(WorkspaceConnectionServicePrincipal, self).__init__(**kwargs)
-        self.client_id = kwargs.get('client_id', None)
-        self.client_secret = kwargs.get('client_secret', None)
-        self.tenant_id = kwargs.get('tenant_id', None)
+        self.client_id = kwargs.get("client_id", None)
+        self.client_secret = kwargs.get("client_secret", None)
+        self.tenant_id = kwargs.get("tenant_id", None)
 
 
 class WorkspaceConnectionSharedAccessSignature(msrest.serialization.Model):
@@ -35519,19 +33571,16 @@ class WorkspaceConnectionSharedAccessSignature(msrest.serialization.Model):
     """
 
     _attribute_map = {
-        'sas': {'key': 'sas', 'type': 'str'},
+        "sas": {"key": "sas", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword sas:
         :paramtype sas: str
         """
         super(WorkspaceConnectionSharedAccessSignature, self).__init__(**kwargs)
-        self.sas = kwargs.get('sas', None)
+        self.sas = kwargs.get("sas", None)
 
 
 class WorkspaceConnectionUpdateParameter(msrest.serialization.Model):
@@ -35543,13 +33592,10 @@ class WorkspaceConnectionUpdateParameter(msrest.serialization.Model):
     """
 
     _attribute_map = {
-        'properties': {'key': 'properties', 'type': 'WorkspaceConnectionPropertiesV2'},
+        "properties": {"key": "properties", "type": "WorkspaceConnectionPropertiesV2"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword properties: The properties that the machine learning workspace connection will be
          updated with.
@@ -35557,7 +33603,7 @@ def __init__(
          ~azure.mgmt.machinelearningservices.models.WorkspaceConnectionPropertiesV2
         """
         super(WorkspaceConnectionUpdateParameter, self).__init__(**kwargs)
-        self.properties = kwargs.get('properties', None)
+        self.properties = kwargs.get("properties", None)
 
 
 class WorkspaceConnectionUsernamePassword(msrest.serialization.Model):
@@ -35573,15 +33619,12 @@ class WorkspaceConnectionUsernamePassword(msrest.serialization.Model):
     """
 
     _attribute_map = {
-        'password': {'key': 'password', 'type': 'str'},
-        'security_token': {'key': 'securityToken', 'type': 'str'},
-        'username': {'key': 'username', 'type': 'str'},
+        "password": {"key": "password", "type": "str"},
+        "security_token": {"key": "securityToken", "type": "str"},
+        "username": {"key": "username", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword password:
         :paramtype password: str
@@ -35592,9 +33635,9 @@ def __init__(
         :paramtype username: str
         """
         super(WorkspaceConnectionUsernamePassword, self).__init__(**kwargs)
-        self.password = kwargs.get('password', None)
-        self.security_token = kwargs.get('security_token', None)
-        self.username = kwargs.get('username', None)
+        self.password = kwargs.get("password", None)
+        self.security_token = kwargs.get("security_token", None)
+        self.username = kwargs.get("username", None)
 
 
 class WorkspaceHubConfig(msrest.serialization.Model):
@@ -35607,14 +33650,11 @@ class WorkspaceHubConfig(msrest.serialization.Model):
     """
 
     _attribute_map = {
-        'additional_workspace_storage_accounts': {'key': 'additionalWorkspaceStorageAccounts', 'type': '[str]'},
-        'default_workspace_resource_group': {'key': 'defaultWorkspaceResourceGroup', 'type': 'str'},
+        "additional_workspace_storage_accounts": {"key": "additionalWorkspaceStorageAccounts", "type": "[str]"},
+        "default_workspace_resource_group": {"key": "defaultWorkspaceResourceGroup", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword additional_workspace_storage_accounts:
         :paramtype additional_workspace_storage_accounts: list[str]
@@ -35622,8 +33662,8 @@ def __init__(
         :paramtype default_workspace_resource_group: str
         """
         super(WorkspaceHubConfig, self).__init__(**kwargs)
-        self.additional_workspace_storage_accounts = kwargs.get('additional_workspace_storage_accounts', None)
-        self.default_workspace_resource_group = kwargs.get('default_workspace_resource_group', None)
+        self.additional_workspace_storage_accounts = kwargs.get("additional_workspace_storage_accounts", None)
+        self.default_workspace_resource_group = kwargs.get("default_workspace_resource_group", None)
 
 
 class WorkspaceListResult(msrest.serialization.Model):
@@ -35638,14 +33678,11 @@ class WorkspaceListResult(msrest.serialization.Model):
     """
 
     _attribute_map = {
-        'next_link': {'key': 'nextLink', 'type': 'str'},
-        'value': {'key': 'value', 'type': '[Workspace]'},
+        "next_link": {"key": "nextLink", "type": "str"},
+        "value": {"key": "value", "type": "[Workspace]"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
+    def __init__(self, **kwargs):
         """
         :keyword next_link: The link to the next page constructed using the continuationToken.  If
          null, there are no additional pages.
@@ -35655,8 +33692,8 @@ def __init__(
         :paramtype value: list[~azure.mgmt.machinelearningservices.models.Workspace]
         """
         super(WorkspaceListResult, self).__init__(**kwargs)
-        self.next_link = kwargs.get('next_link', None)
-        self.value = kwargs.get('value', None)
+        self.next_link = kwargs.get("next_link", None)
+        self.value = kwargs.get("value", None)
 
 
 class WorkspacePrivateEndpointResource(msrest.serialization.Model):
@@ -35672,21 +33709,17 @@ class WorkspacePrivateEndpointResource(msrest.serialization.Model):
     """
 
     _validation = {
-        'id': {'readonly': True},
-        'subnet_arm_id': {'readonly': True},
+        "id": {"readonly": True},
+        "subnet_arm_id": {"readonly": True},
     }
 
     _attribute_map = {
-        'id': {'key': 'id', 'type': 'str'},
-        'subnet_arm_id': {'key': 'subnetArmId', 'type': 'str'},
+        "id": {"key": "id", "type": "str"},
+        "subnet_arm_id": {"key": "subnetArmId", "type": "str"},
     }
 
-    def __init__(
-            self,
-            **kwargs
-    ):
-        """
-        """
+    def __init__(self, **kwargs):
+        """ """
         super(WorkspacePrivateEndpointResource, self).__init__(**kwargs)
         self.id = None
         self.subnet_arm_id = None
@@ -35747,34 +33780,35 @@ class WorkspaceUpdateParameters(msrest.serialization.Model):
     """
 
     _attribute_map = {
-        'identity': {'key': 'identity', 'type': 'ManagedServiceIdentity'},
-        'sku': {'key': 'sku', 'type': 'Sku'},
-        'tags': {'key': 'tags', 'type': '{str}'},
-        'application_insights': {'key': 'properties.applicationInsights', 'type': 'str'},
-        'container_registry': {'key': 'properties.containerRegistry', 'type': 'str'},
-        'description': {'key': 'properties.description', 'type': 'str'},
-        'enable_data_isolation': {'key': 'properties.enableDataIsolation', 'type': 'bool'},
-        'enable_software_bill_of_materials': {'key': 'properties.enableSoftwareBillOfMaterials', 'type': 'bool'},
-        'encryption': {'key': 'properties.encryption', 'type': 'EncryptionUpdateProperties'},
-        'feature_store_settings': {'key': 'properties.featureStoreSettings', 'type': 'FeatureStoreSettings'},
-        'friendly_name': {'key': 'properties.friendlyName', 'type': 'str'},
-        'image_build_compute': {'key': 'properties.imageBuildCompute', 'type': 'str'},
-        'ip_allowlist': {'key': 'properties.ipAllowlist', 'type': '[str]'},
-        'managed_network': {'key': 'properties.managedNetwork', 'type': 'ManagedNetworkSettings'},
-        'primary_user_assigned_identity': {'key': 'properties.primaryUserAssignedIdentity', 'type': 'str'},
-        'public_network_access': {'key': 'properties.publicNetworkAccess', 'type': 'str'},
-        'serverless_compute_settings': {'key': 'properties.serverlessComputeSettings',
-                                        'type': 'ServerlessComputeSettings'},
-        'service_managed_resources_settings': {'key': 'properties.serviceManagedResourcesSettings',
-                                               'type': 'ServiceManagedResourcesSettings'},
-        'soft_delete_retention_in_days': {'key': 'properties.softDeleteRetentionInDays', 'type': 'int'},
-        'v1_legacy_mode': {'key': 'properties.v1LegacyMode', 'type': 'bool'},
-    }
-
-    def __init__(
-            self,
-            **kwargs
-    ):
+        "identity": {"key": "identity", "type": "ManagedServiceIdentity"},
+        "sku": {"key": "sku", "type": "Sku"},
+        "tags": {"key": "tags", "type": "{str}"},
+        "application_insights": {"key": "properties.applicationInsights", "type": "str"},
+        "container_registry": {"key": "properties.containerRegistry", "type": "str"},
+        "description": {"key": "properties.description", "type": "str"},
+        "enable_data_isolation": {"key": "properties.enableDataIsolation", "type": "bool"},
+        "enable_software_bill_of_materials": {"key": "properties.enableSoftwareBillOfMaterials", "type": "bool"},
+        "encryption": {"key": "properties.encryption", "type": "EncryptionUpdateProperties"},
+        "feature_store_settings": {"key": "properties.featureStoreSettings", "type": "FeatureStoreSettings"},
+        "friendly_name": {"key": "properties.friendlyName", "type": "str"},
+        "image_build_compute": {"key": "properties.imageBuildCompute", "type": "str"},
+        "ip_allowlist": {"key": "properties.ipAllowlist", "type": "[str]"},
+        "managed_network": {"key": "properties.managedNetwork", "type": "ManagedNetworkSettings"},
+        "primary_user_assigned_identity": {"key": "properties.primaryUserAssignedIdentity", "type": "str"},
+        "public_network_access": {"key": "properties.publicNetworkAccess", "type": "str"},
+        "serverless_compute_settings": {
+            "key": "properties.serverlessComputeSettings",
+            "type": "ServerlessComputeSettings",
+        },
+        "service_managed_resources_settings": {
+            "key": "properties.serviceManagedResourcesSettings",
+            "type": "ServiceManagedResourcesSettings",
+        },
+        "soft_delete_retention_in_days": {"key": "properties.softDeleteRetentionInDays", "type": "int"},
+        "v1_legacy_mode": {"key": "properties.v1LegacyMode", "type": "bool"},
+    }
+
+    def __init__(self, **kwargs):
         """
         :keyword identity: Managed service identity (system assigned and/or user assigned identities).
         :paramtype identity: ~azure.mgmt.machinelearningservices.models.ManagedServiceIdentity
@@ -35829,23 +33863,23 @@ def __init__(
         :paramtype v1_legacy_mode: bool
         """
         super(WorkspaceUpdateParameters, self).__init__(**kwargs)
-        self.identity = kwargs.get('identity', None)
-        self.sku = kwargs.get('sku', None)
-        self.tags = kwargs.get('tags', None)
-        self.application_insights = kwargs.get('application_insights', None)
-        self.container_registry = kwargs.get('container_registry', None)
-        self.description = kwargs.get('description', None)
-        self.enable_data_isolation = kwargs.get('enable_data_isolation', None)
-        self.enable_software_bill_of_materials = kwargs.get('enable_software_bill_of_materials', None)
-        self.encryption = kwargs.get('encryption', None)
-        self.feature_store_settings = kwargs.get('feature_store_settings', None)
-        self.friendly_name = kwargs.get('friendly_name', None)
-        self.image_build_compute = kwargs.get('image_build_compute', None)
-        self.ip_allowlist = kwargs.get('ip_allowlist', None)
-        self.managed_network = kwargs.get('managed_network', None)
-        self.primary_user_assigned_identity = kwargs.get('primary_user_assigned_identity', None)
-        self.public_network_access = kwargs.get('public_network_access', None)
-        self.serverless_compute_settings = kwargs.get('serverless_compute_settings', None)
-        self.service_managed_resources_settings = kwargs.get('service_managed_resources_settings', None)
-        self.soft_delete_retention_in_days = kwargs.get('soft_delete_retention_in_days', None)
-        self.v1_legacy_mode = kwargs.get('v1_legacy_mode', None)
+        self.identity = kwargs.get("identity", None)
+        self.sku = kwargs.get("sku", None)
+        self.tags = kwargs.get("tags", None)
+        self.application_insights = kwargs.get("application_insights", None)
+        self.container_registry = kwargs.get("container_registry", None)
+        self.description = kwargs.get("description", None)
+        self.enable_data_isolation = kwargs.get("enable_data_isolation", None)
+        self.enable_software_bill_of_materials = kwargs.get("enable_software_bill_of_materials", None)
+        self.encryption = kwargs.get("encryption", None)
+        self.feature_store_settings = kwargs.get("feature_store_settings", None)
+        self.friendly_name = kwargs.get("friendly_name", None)
+        self.image_build_compute = kwargs.get("image_build_compute", None)
+        self.ip_allowlist = kwargs.get("ip_allowlist", None)
+        self.managed_network = kwargs.get("managed_network", None)
+        self.primary_user_assigned_identity = kwargs.get("primary_user_assigned_identity", None)
+        self.public_network_access = kwargs.get("public_network_access", None)
+        self.serverless_compute_settings = kwargs.get("serverless_compute_settings", None)
+        self.service_managed_resources_settings = kwargs.get("service_managed_resources_settings", None)
+        self.soft_delete_retention_in_days = kwargs.get("soft_delete_retention_in_days", None)
+        self.v1_legacy_mode = kwargs.get("v1_legacy_mode", None)
diff --git a/src/promptflow/promptflow/azure/_models/_version.py b/src/promptflow-core/promptflow/core/_connection_provider/_models/_version.py
similarity index 100%
rename from src/promptflow/promptflow/azure/_models/_version.py
rename to src/promptflow-core/promptflow/core/_connection_provider/_models/_version.py
diff --git a/src/promptflow-core/promptflow/core/_connection_provider/_utils.py b/src/promptflow-core/promptflow/core/_connection_provider/_utils.py
new file mode 100644
index 00000000000..372a3a2e975
--- /dev/null
+++ b/src/promptflow-core/promptflow/core/_connection_provider/_utils.py
@@ -0,0 +1,81 @@
+# ---------------------------------------------------------
+# Copyright (c) Microsoft Corporation. All rights reserved.
+# ---------------------------------------------------------
+import os
+import re
+
+from promptflow._constants import PF_NO_INTERACTIVE_LOGIN
+from promptflow._sdk._constants import AZURE_WORKSPACE_REGEX_FORMAT
+from promptflow._utils.user_agent_utils import ClientUserAgentUtil
+from promptflow.core._errors import MalformedConnectionProviderConfig, MissingRequiredPackage
+from promptflow.exceptions import ValidationException
+
+
+def check_required_packages():
+    try:
+        import azure.ai.ml  # noqa: F401
+        import azure.identity  # noqa: F401
+    except ImportError as e:
+        raise MissingRequiredPackage(
+            message="Please install 'promptflow-core[azureml-serving]' to use workspace connection."
+        ) from e
+
+
+def get_arm_token(credential) -> str:
+    check_required_packages()
+    from azure.ai.ml._azure_environments import _get_base_url_from_metadata
+
+    resource = _get_base_url_from_metadata()
+    return get_token(credential, resource)
+
+
+def get_token(credential, resource) -> str:
+    check_required_packages()
+    from azure.ai.ml._azure_environments import _resource_to_scopes
+
+    azure_ml_scopes = _resource_to_scopes(resource)
+    token = credential.get_token(*azure_ml_scopes).token
+    # validate token has aml audience
+    import jwt  # Included by azure-identity
+
+    decoded_token = jwt.decode(
+        token,
+        options={"verify_signature": False, "verify_aud": False},
+    )
+    if decoded_token.get("aud") != resource:
+        msg = """AAD token with aml scope could not be fetched using the credentials being used.
+            Please validate if token with {0} scope can be fetched using credentials provided to PFClient.
+            Token with {0} scope can be fetched using credentials.get_token({0})
+            """
+        raise ValidationException(
+            message=msg.format(*azure_ml_scopes),
+        )
+
+    return token
+
+
+def extract_workspace(provider_config) -> tuple:
+    match = re.match(AZURE_WORKSPACE_REGEX_FORMAT, provider_config)
+    if not match or len(match.groups()) != 5:
+        raise MalformedConnectionProviderConfig(provider_config=provider_config)
+    subscription_id = match.group(1)
+    resource_group = match.group(3)
+    workspace_name = match.group(5)
+    return subscription_id, resource_group, workspace_name
+
+
+def is_github_codespaces():
+    """Check if the current environment is GitHub Codespaces."""
+    # Ref:
+    # https://docs.github.com/en/codespaces/developing-in-a-codespace/default-environment-variables-for-your-codespace
+    return os.environ.get("CODESPACES", None) == "true"
+
+
+def interactive_credential_disabled():
+    """Check if interactive login is disabled."""
+    return os.environ.get(PF_NO_INTERACTIVE_LOGIN, "false").lower() == "true"
+
+
+def is_from_cli():
+    """Check if the current execution is from promptflow-cli."""
+    return "promptflow-cli" in ClientUserAgentUtil.get_user_agent()
diff --git a/src/promptflow/promptflow/azure/operations/_arm_connection_operations.py b/src/promptflow-core/promptflow/core/_connection_provider/_workspace_connection_provider.py
similarity index 74%
rename from src/promptflow/promptflow/azure/operations/_arm_connection_operations.py
rename to src/promptflow-core/promptflow/core/_connection_provider/_workspace_connection_provider.py
index e2872397498..e04f3cf5c9c 100644
--- a/src/promptflow/promptflow/azure/operations/_arm_connection_operations.py
+++ b/src/promptflow-core/promptflow/core/_connection_provider/_workspace_connection_provider.py
@@ -1,25 +1,30 @@
 # ---------------------------------------------------------
 # Copyright (c) Microsoft Corporation. All rights reserved.
 # ---------------------------------------------------------
-from typing import Any, Dict, Union
+from typing import Any, Optional, Union
 
 import requests
-from azure.ai.ml._scope_dependent_operations import (
-    OperationConfig,
-    OperationsContainer,
-    OperationScope,
-    _ScopeDependentOperations,
-)
-from azure.core.exceptions import ClientAuthenticationError
 
-from promptflow._sdk._constants import ConnectionAuthMode
-from promptflow._sdk.entities._connection import CustomConnection, _Connection
+from promptflow._constants import ConnectionAuthMode
 from promptflow._utils.retry_utils import http_retry_wrapper
-from promptflow.azure._models._models import WorkspaceConnectionPropertiesV2BasicResource
-from promptflow.azure._restclient.flow_service_caller import FlowServiceCaller
-from promptflow.azure._utils.general import get_arm_token
+from promptflow.core._connection import CustomConnection, _Connection
+from promptflow.core._errors import (
+    AccessDeniedError,
+    AccountNotSetUp,
+    BuildConnectionError,
+    MissingRequiredPackage,
+    OpenURLFailed,
+    OpenURLFailedUserError,
+    OpenURLUserAuthenticationError,
+    UnknownConnectionType,
+    UnsupportedConnectionAuthType,
+)
 from promptflow.exceptions import ErrorTarget, SystemErrorException, UserErrorException
 
+from ..._utils.credential_utils import get_default_azure_credential
+from ._connection_provider import ConnectionProvider
+from ._utils import interactive_credential_disabled, is_from_cli, is_github_codespaces
+
 GET_CONNECTION_URL = (
     "/subscriptions/{sub}/resourcegroups/{rg}/providers/Microsoft.MachineLearningServices"
     "/workspaces/{ws}/connections/{name}/listsecrets?api-version=2023-04-01-preview"
@@ -56,42 +61,56 @@ def get_case_insensitive_key(d, key, default=None):
     return default
 
 
-class ArmConnectionOperations(_ScopeDependentOperations):
-    """ArmConnectionOperations.
-
-    Get connections from arm api. You should not instantiate this class directly. Instead, you should
-    create an PFClient instance that instantiates it for you and
-    attaches it as an attribute.
-    """
-
+class WorkspaceConnectionProvider(ConnectionProvider):
     def __init__(
         self,
-        operation_scope: OperationScope,
-        operation_config: OperationConfig,
-        all_operations: OperationsContainer,
-        credential,
-        service_caller: FlowServiceCaller,
-        **kwargs: Dict,
+        subscription_id: Optional[str] = None,
+        resource_group_name: Optional[str] = None,
+        workspace_name: Optional[str] = None,
+        credential=None,
     ):
-        super(ArmConnectionOperations, self).__init__(operation_scope, operation_config)
-        self._all_operations = all_operations
-        self._service_caller = service_caller
         self._credential = credential
-
-    def get(self, name, **kwargs):
-        connection_dict = self.build_connection_dict(name)
-        return _Connection._from_execution_connection_dict(name=name, data=connection_dict)
+        self.subscription_id = subscription_id
+        self.resource_group_name = resource_group_name
+        self.workspace_name = workspace_name
+
+    @property
+    def credential(self):
+        """Get the credential."""
+        # Note: Add this to postpone credential requirement until calling get()
+        if not self._credential:
+            self._credential = self._get_credential()
+        return self._credential
 
     @classmethod
-    def _direct_get(cls, name, subscription_id, resource_group_name, workspace_name, credential):
-        """
-        This method is added for local pf_client with workspace provider to ensure we only require limited
-        permission(workspace/list secrets). As create azure pf_client requires workspace read permission.
-        """
-        connection_dict = cls._build_connection_dict(
-            name, subscription_id, resource_group_name, workspace_name, credential
-        )
-        return _Connection._from_execution_connection_dict(name=name, data=connection_dict)
+    def _get_credential(cls):
+
+        # Note: There is a try-catch in get arm token. It requires azure-ai-ml.
+        # TODO: Remove the azure-ai-ml dependency.
+        from ._utils import get_arm_token
+
+        try:
+            from azure.identity import DefaultAzureCredential, DeviceCodeCredential
+        except ImportError as e:
+            raise MissingRequiredPackage(
+                message="Please install 'promptflow-core[azureml-serving]' to use workspace connection."
+            ) from e
+
+        if is_from_cli():
+            try:
+                # Try getting token for cli without interactive login
+                credential = get_default_azure_credential()
+                get_arm_token(credential=credential)
+            except Exception:
+                raise AccountNotSetUp()
+        if interactive_credential_disabled():
+            return DefaultAzureCredential(exclude_interactive_browser_credential=True)
+        if is_github_codespaces():
+            # For code spaces, append device code credential as the fallback option.
+            credential = DefaultAzureCredential()
+            credential.credentials = (*credential.credentials, DeviceCodeCredential())
+            return credential
+        return DefaultAzureCredential(exclude_interactive_browser_credential=False)
 
     @classmethod
     def open_url(cls, token, url, action, host="management.azure.com", method="GET", model=None) -> Union[Any, dict]:
@@ -247,35 +266,10 @@ def get_auth_config(props):
         # Note: Filter empty values out to ensure default values can be picked when init class object.
         return {**meta, "value": {k: v for k, v in value.items() if v}}
 
-    def build_connection_dict(self, name):
-        return self._build_connection_dict(
-            name,
-            self._operation_scope.subscription_id,
-            self._operation_scope.resource_group_name,
-            self._operation_scope.workspace_name,
-            self._credential,
-        )
-
-    @classmethod
-    def _convert_to_connection_dict(cls, conn_name, conn_data):
-        try:
-            rest_obj = WorkspaceConnectionPropertiesV2BasicResource.deserialize(conn_data)
-            conn_dict = cls.build_connection_dict_from_rest_object(conn_name, rest_obj)
-            return conn_dict
-        except Exception as e:
-            raise BuildConnectionError(
-                message_format=f"Build connection dict for connection {{name}} failed with {e}.",
-                name=conn_name,
-            )
-
     @classmethod
     def _build_connection_dict(cls, name, subscription_id, resource_group_name, workspace_name, credential) -> dict:
         """
         :type name: str
-        :type subscription_id: str
-        :type resource_group_name: str
-        :type workspace_name: str
-        :type credential: azure.identity.TokenCredential
         """
         url = GET_CONNECTION_URL.format(
             sub=subscription_id,
@@ -283,6 +277,18 @@ def _build_connection_dict(cls, name, subscription_id, resource_group_name, work
             ws=workspace_name,
             name=name,
         )
+        # Note: There is a try-catch in get arm token. It requires azure-ai-ml.
+        # TODO: Remove the azure-ai-ml dependency.
+        from ._utils import get_arm_token
+
+        try:
+            from azure.core.exceptions import ClientAuthenticationError
+
+            from ._models import WorkspaceConnectionPropertiesV2BasicResource
+        except ImportError as e:
+            raise MissingRequiredPackage(
+                message="Please install 'promptflow-core[azureml-serving]' to use workspace connection."
+            ) from e
         try:
             rest_obj: WorkspaceConnectionPropertiesV2BasicResource = cls.open_url(
                 get_arm_token(credential=credential),
@@ -299,9 +305,9 @@ def _build_connection_dict(cls, name, subscription_id, resource_group_name, work
             )
             raise OpenURLUserAuthenticationError(message=auth_error_message)
         except ClientAuthenticationError as e:
-            raise UserErrorException(target=ErrorTarget.CONTROL_PLANE_SDK, message=str(e), error=e)
+            raise UserErrorException(target=ErrorTarget.CORE, message=str(e), error=e)
         except Exception as e:
-            raise SystemErrorException(target=ErrorTarget.CONTROL_PLANE_SDK, message=str(e), error=e)
+            raise SystemErrorException(target=ErrorTarget.CORE, message=str(e), error=e)
 
         try:
             return cls.build_connection_dict_from_rest_object(name, rest_obj)
@@ -311,45 +317,28 @@ def _build_connection_dict(cls, name, subscription_id, resource_group_name, work
                 name=name,
             )
 
+    @classmethod
+    def _convert_to_connection_dict(cls, conn_name, conn_data):
+        try:
+            from ._models import WorkspaceConnectionPropertiesV2BasicResource
+        except ImportError as e:
+            raise MissingRequiredPackage(message="Please install 'msrest' to use workspace connection.") from e
+        try:
+            rest_obj = WorkspaceConnectionPropertiesV2BasicResource.deserialize(conn_data)
+            conn_dict = cls.build_connection_dict_from_rest_object(conn_name, rest_obj)
+            return conn_dict
+        except Exception as e:
+            raise BuildConnectionError(
+                message_format=f"Build connection dict for connection {{name}} failed with {e}.",
+                name=conn_name,
+            )
 
-class AccessDeniedError(UserErrorException):
-    """Exception raised when run info can not be found in storage"""
-
-    def __init__(self, operation: str, target: ErrorTarget):
-        super().__init__(message=f"Access is denied to perform operation {operation!r}", target=target)
-
-
-class OpenURLFailed(SystemErrorException):
-    def __init__(self, **kwargs):
-        super().__init__(target=ErrorTarget.CONTROL_PLANE_SDK, **kwargs)
-
-
-class BuildConnectionError(SystemErrorException):
-    def __init__(self, **kwargs):
-        super().__init__(target=ErrorTarget.CONTROL_PLANE_SDK, **kwargs)
-
-
-class UserAuthenticationError(UserErrorException):
-    """Exception raised when user authentication failed"""
-
-    pass
-
-
-class OpenURLUserAuthenticationError(UserAuthenticationError):
-    def __init__(self, **kwargs):
-        super().__init__(target=ErrorTarget.CONTROL_PLANE_SDK, **kwargs)
-
-
-class OpenURLFailedUserError(UserErrorException):
-    def __init__(self, **kwargs):
-        super().__init__(target=ErrorTarget.CONTROL_PLANE_SDK, **kwargs)
-
-
-class UnknownConnectionType(UserErrorException):
-    def __init__(self, **kwargs):
-        super().__init__(target=ErrorTarget.CONTROL_PLANE_SDK, **kwargs)
-
-
-class UnsupportedConnectionAuthType(UserErrorException):
-    def __init__(self, **kwargs):
-        super().__init__(target=ErrorTarget.CONTROL_PLANE_SDK, **kwargs)
+    def get(self, name: str, **kwargs) -> _Connection:
+        connection_dict = self._build_connection_dict(
+            name,
+            subscription_id=self.subscription_id,
+            resource_group_name=self.resource_group_name,
+            workspace_name=self.workspace_name,
+            credential=self.credential,
+        )
+        return _Connection._from_execution_connection_dict(name=name, data=connection_dict)
diff --git a/src/promptflow-core/promptflow/core/_errors.py b/src/promptflow-core/promptflow/core/_errors.py
new file mode 100644
index 00000000000..508b3602a8e
--- /dev/null
+++ b/src/promptflow-core/promptflow/core/_errors.py
@@ -0,0 +1,121 @@
+# ---------------------------------------------------------
+# Copyright (c) Microsoft Corporation. All rights reserved.
+# ---------------------------------------------------------
+from promptflow.exceptions import ErrorTarget, SystemErrorException, UserErrorException
+
+
+class CoreError(UserErrorException):
+    """Core base class, target default is CORE."""
+
+    def __init__(
+        self,
+        message="",
+        message_format="",
+        target: ErrorTarget = ErrorTarget.CORE,
+        module=None,
+        **kwargs,
+    ):
+        super().__init__(message=message, message_format=message_format, target=target, module=module, **kwargs)
+
+
+class CoreInternalError(SystemErrorException):
+    """Core internal error."""
+
+    def __init__(
+        self,
+        message="",
+        message_format="",
+        target: ErrorTarget = ErrorTarget.CORE,
+        module=None,
+        **kwargs,
+    ):
+        super().__init__(message=message, message_format=message_format, target=target, module=module, **kwargs)
+
+
+class GenerateFlowMetaJsonError(CoreError):
+    """Exception raised if flow json generation failed."""
+
+    pass
+
+
+class RequiredEnvironmentVariablesNotSetError(CoreError):
+    """Exception raised if connection from_env required env vars not found."""
+
+    def __init__(self, env_vars: list, cls_name: str):
+        super().__init__(f"Required environment variables {env_vars} to build {cls_name} not set.")
+
+
+class OpenURLFailed(SystemErrorException):
+    def __init__(self, **kwargs):
+        super().__init__(target=ErrorTarget.CORE, **kwargs)
+
+
+class BuildConnectionError(SystemErrorException):
+    def __init__(self, **kwargs):
+        super().__init__(target=ErrorTarget.CORE, **kwargs)
+
+
+class MissingRequiredPackage(UserErrorException):
+    def __init__(self, **kwargs):
+        super().__init__(target=ErrorTarget.CORE, **kwargs)
+
+
+class UserAuthenticationError(UserErrorException):
+    """Exception raised when user authentication failed"""
+
+    pass
+
+
+class OpenURLUserAuthenticationError(UserAuthenticationError):
+    def __init__(self, **kwargs):
+        super().__init__(target=ErrorTarget.CORE, **kwargs)
+
+
+class OpenURLFailedUserError(UserErrorException):
+    def __init__(self, **kwargs):
+        super().__init__(target=ErrorTarget.CORE, **kwargs)
+
+
+class UnknownConnectionType(UserErrorException):
+    def __init__(self, **kwargs):
+        super().__init__(target=ErrorTarget.CORE, **kwargs)
+
+
+class UnsupportedConnectionAuthType(UserErrorException):
+    def __init__(self, **kwargs):
+        super().__init__(target=ErrorTarget.CORE, **kwargs)
+
+
+class UnsupportedConnectionProviderConfig(UserErrorException):
+    def __init__(self, **kwargs):
+        super().__init__(target=ErrorTarget.CORE, **kwargs)
+
+
+class MalformedConnectionProviderConfig(UserErrorException):
+    """Exception raised when connection provider config is malformed."""
+
+    def __init__(self, provider_config, **kwargs):
+        message = "Malformed connection provider config, expected azureml://subscriptions/<subscription_id>/"
+        "resourceGroups/<resource_group>/providers/Microsoft.MachineLearningServices/"
+        f"workspaces/<workspace_name>, got {provider_config}"
+        super().__init__(target=ErrorTarget.CORE, message=message, **kwargs)
+
+
+class AccessDeniedError(UserErrorException):
+    """Exception raised when run info can not be found in storage"""
+
+    def __init__(self, operation: str, target: ErrorTarget):
+        super().__init__(message=f"Access is denied to perform operation {operation!r}", target=target)
+
+
+class AccountNotSetUp(UserErrorException):
+    """Exception raised when account is not setup"""
+
+    def __init__(self):
+        super().__init__(
+            message=(
+                "Please run 'az login' or 'az login --use-device-code' to set up account. "
+                "See https://docs.microsoft.com/cli/azure/authenticate-azure-cli for more details."
+            ),
+            target=ErrorTarget.CORE,
+        )
diff --git a/src/promptflow-core/promptflow/core/_flow.py b/src/promptflow-core/promptflow/core/_flow.py
new file mode 100644
index 00000000000..be0b5d62a35
--- /dev/null
+++ b/src/promptflow-core/promptflow/core/_flow.py
@@ -0,0 +1,182 @@
+# ---------------------------------------------------------
+# Copyright (c) Microsoft Corporation. All rights reserved.
+# ---------------------------------------------------------
+
+import abc
+from os import PathLike
+from pathlib import Path
+from typing import Any, Mapping, Union
+
+from promptflow._constants import DEFAULT_ENCODING, LANGUAGE_KEY, FlowLanguage
+from promptflow._utils.flow_utils import is_flex_flow, resolve_flow_path
+from promptflow._utils.yaml_utils import load_yaml_string
+from promptflow.exceptions import UserErrorException
+
+
+class AbstractFlowBase(abc.ABC):
+    """Abstract class for all Flow entities in both core and devkit."""
+
+    def __init__(self, *, data: dict, code: Path, path: Path, **kwargs):
+        # yaml content if provided
+        self._data = data
+        # working directory of the flow
+        self._code = Path(code).resolve()
+        # flow file path, can be script file or flow definition YAML file
+        self._path = Path(path).resolve()
+
+
+class FlowBase(AbstractFlowBase):
+    def __init__(self, *, data: dict, code: Path, path: Path, **kwargs):
+        super().__init__(data=data, code=code, path=path, **kwargs)
+
+    @property
+    def code(self) -> Path:
+        """Working directory of the flow."""
+        return self._code
+
+    @property
+    def path(self) -> Path:
+        """Flow file path. Can be script file or flow definition YAML file."""
+        return self._path
+
+    @classmethod
+    def load(
+        cls,
+        source: Union[str, PathLike],
+        **kwargs,
+    ) -> "Flow":
+        """
+        Load flow from YAML file.
+
+        :param source: The local yaml source of a flow. Must be a path to a local file.
+            If the source is a path, it will be open and read.
+            An exception is raised if the file does not exist.
+        :type source: Union[PathLike, str]
+        :return: A Flow object
+        :rtype: Flow
+        """
+        flow_dir, flow_filename = resolve_flow_path(source)
+        flow_path = flow_dir / flow_filename
+        with open(flow_path, "r", encoding=DEFAULT_ENCODING) as f:
+            flow_content = f.read()
+            data = load_yaml_string(flow_content)
+        flow_language = data.get(LANGUAGE_KEY, FlowLanguage.Python)
+        if flow_language != FlowLanguage.Python:
+            raise UserErrorException(
+                message_format="Only python flows are allowed to be loaded with "
+                "promptflow-core but got a {language} flow",
+                language=flow_language,
+            )
+
+        return cls._create(code=flow_dir, path=flow_path, data=data)
+
+    @classmethod
+    def _create(cls, data, code, path, **kwargs):
+        raise NotImplementedError()
+
+
+class Flow(FlowBase):
+    """A Flow in the context of PromptFlow is a sequence of steps that define a task.
+    Each step in the flow could be a prompt that is sent to a language model, or simply a function task,
+    and the output of one step can be used as the input to the next.
+    Flows can be used to build complex applications with language models.
+
+    Example:
+
+    .. code-block:: python
+
+        from promptflow.core import Flow
+        flow = Flow.load(source="path/to/flow.yaml")
+        result = flow(input_a=1, input_b=2)
+
+    """
+
+    def __call__(self, *args, **kwargs) -> Mapping[str, Any]:
+        """Calling flow as a function, the inputs should be provided with key word arguments.
+        Returns the output of the flow.
+        The function call throws UserErrorException: if the flow is not valid or the inputs are not valid.
+        SystemErrorException: if the flow execution failed due to unexpected executor error.
+
+        :param args: positional arguments are not supported.
+        :param kwargs: flow inputs with key word arguments.
+        :return:
+        """
+
+        if args:
+            raise UserErrorException("Flow can only be called with keyword arguments.")
+
+        result = self.invoke(inputs=kwargs)
+        return result.output
+
+    def invoke(self, inputs: dict, connections: dict = None, **kwargs) -> "LineResult":
+        """Invoke a flow and get a LineResult object."""
+        # candidate parameters: connections, variant, overrides, streaming
+        from promptflow.core._serving.flow_invoker import FlowInvoker
+
+        if is_flex_flow(yaml_dict=self._data, working_dir=self.code):
+            raise UserErrorException("Please call entry directly for flex flow.")
+
+        invoker = FlowInvoker(
+            flow=self,
+            connections=connections,
+            streaming=True,
+        )
+        result = invoker._invoke(
+            data=inputs,
+        )
+        return result
+
+    @classmethod
+    def _create(cls, data, code, path, **kwargs):
+        return cls(code=code, path=path, data=data, **kwargs)
+
+
+class AsyncFlow(FlowBase):
+    """Async flow is based on Flow, which is used to invoke flow in async mode.
+
+    Example:
+
+    .. code-block:: python
+
+        from promptflow.core import class AsyncFlow
+        flow = AsyncFlow.load(source="path/to/flow.yaml")
+        result = await flow(input_a=1, input_b=2)
+
+    """
+
+    async def __call__(self, *args, **kwargs) -> Mapping[str, Any]:
+        """Calling flow as a function in async, the inputs should be provided with key word arguments.
+        Returns the output of the flow.
+        The function call throws UserErrorException: if the flow is not valid or the inputs are not valid.
+        SystemErrorException: if the flow execution failed due to unexpected executor error.
+
+        :param args: positional arguments are not supported.
+        :param kwargs: flow inputs with key word arguments.
+        :return:
+        """
+        if args:
+            raise UserErrorException("Flow can only be called with keyword arguments.")
+
+        result = await self.invoke(inputs=kwargs)
+        return result.output
+
+    async def invoke(self, inputs: dict, *, connections: dict = None, **kwargs) -> "LineResult":
+        """Invoke a flow and get a LineResult object."""
+
+        from promptflow.core._serving.flow_invoker import AsyncFlowInvoker
+
+        invoker = AsyncFlowInvoker(
+            flow=self,
+            connections=connections,
+            streaming=True,
+            flow_path=self.path,
+            working_dir=self.code,
+        )
+        result = await invoker._invoke_async(
+            data=inputs,
+        )
+        return result
+
+    @classmethod
+    def _create(cls, data, code, path, **kwargs):
+        return cls(code=code, path=path, data=data, **kwargs)
diff --git a/src/promptflow/promptflow/_sdk/_service/apis/__init__.py b/src/promptflow-core/promptflow/core/_serving/__init__.py
similarity index 100%
rename from src/promptflow/promptflow/_sdk/_service/apis/__init__.py
rename to src/promptflow-core/promptflow/core/_serving/__init__.py
diff --git a/src/promptflow/promptflow/_sdk/_serving/_errors.py b/src/promptflow-core/promptflow/core/_serving/_errors.py
similarity index 100%
rename from src/promptflow/promptflow/_sdk/_serving/_errors.py
rename to src/promptflow-core/promptflow/core/_serving/_errors.py
diff --git a/src/promptflow/promptflow/_sdk/_serving/app.py b/src/promptflow-core/promptflow/core/_serving/app.py
similarity index 64%
rename from src/promptflow/promptflow/_sdk/_serving/app.py
rename to src/promptflow-core/promptflow/core/_serving/app.py
index f1f7be24071..316f449c658 100644
--- a/src/promptflow/promptflow/_sdk/_serving/app.py
+++ b/src/promptflow-core/promptflow/core/_serving/app.py
@@ -10,32 +10,38 @@
 from typing import Dict
 
 from flask import Flask, g, jsonify, request
+from opentelemetry import baggage, context, trace
+from opentelemetry.trace.span import INVALID_SPAN
 
-from promptflow._sdk._load_functions import load_flow
-from promptflow._sdk._serving.extension.extension_factory import ExtensionFactory
-from promptflow._sdk._serving.flow_invoker import FlowInvoker
-from promptflow._sdk._serving.response_creator import ResponseCreator
-from promptflow._sdk._serving.utils import (
+from promptflow._utils.exception_utils import ErrorResponse
+from promptflow._utils.logger_utils import LoggerFactory
+from promptflow._utils.user_agent_utils import setup_user_agent_to_operation_context
+from promptflow.contracts.run_info import Status
+from promptflow.core import Flow
+from promptflow.core._serving.constants import FEEDBACK_TRACE_FIELD_NAME, FEEDBACK_TRACE_SPAN_NAME
+from promptflow.core._serving.extension.extension_factory import ExtensionFactory
+from promptflow.core._serving.flow_invoker import FlowInvoker
+from promptflow.core._serving.response_creator import ResponseCreator
+from promptflow.core._serving.utils import (
     enable_monitoring,
     get_output_fields_to_remove,
     get_sample_json,
     handle_error_to_response,
+    load_feedback_swagger,
     load_request_data,
+    serialize_attribute_value,
     streaming_response_required,
+    try_extract_trace_context,
 )
-from promptflow._sdk._utils import setup_user_agent_to_operation_context
-from promptflow._utils.exception_utils import ErrorResponse
-from promptflow._utils.logger_utils import LoggerFactory
-from promptflow._version import VERSION
-from promptflow.contracts.run_info import Status
+from promptflow.core._utils import init_executable
+from promptflow.core._version import __version__
 from promptflow.exceptions import SystemErrorException
 from promptflow.storage._run_storage import DummyRunStorage
+from promptflow.tracing._operation_context import OperationContext
 
 from .swagger import generate_swagger
 
 logger = LoggerFactory.get_logger("pfserving-app", target_stdout=True)
-DEFAULT_STATIC_PATH = Path(__file__).parent / "static"
-USER_AGENT = f"promptflow-local-serving/{VERSION}"
 
 
 class PromptflowServingApp(Flask):
@@ -48,34 +54,15 @@ def init(self, **kwargs):
             # parse promptflow project path
             self.project_path = self.extension.get_flow_project_path()
             logger.info(f"Project path: {self.project_path}")
-            self.flow_entity = load_flow(self.project_path)
-            self.flow = self.flow_entity._init_executable()
+            self.flow = init_executable(flow_path=Path(self.project_path))
 
             # enable environment_variables
             environment_variables = kwargs.get("environment_variables", {})
+            logger.debug(f"Environment variables: {environment_variables}")
             os.environ.update(environment_variables)
             default_environment_variables = self.flow.get_environment_variables_with_overrides()
             self.set_default_environment_variables(default_environment_variables)
 
-            # load trace exporters
-            trace_exporters = self.extension.get_trace_exporters(self.project_path)
-            if trace_exporters:
-                logger.info(f"Enable {len(trace_exporters)} trace exporters.")
-                from opentelemetry import trace
-                from opentelemetry.sdk.resources import SERVICE_NAME, Resource
-                from opentelemetry.sdk.trace import TracerProvider
-                from opentelemetry.sdk.trace.export import BatchSpanProcessor
-
-                resource = Resource(
-                    attributes={
-                        SERVICE_NAME: "promptflow",
-                    }
-                )
-                trace.set_tracer_provider(TracerProvider(resource=resource))
-                provider = trace.get_tracer_provider()
-                for exporter in trace_exporters:
-                    provider.add_span_processor(BatchSpanProcessor(exporter))
-
             self.flow_name = self.extension.get_flow_name()
             self.flow.name = self.flow_name
             conn_data_override, conn_name_override = self.extension.get_override_connections(self.flow)
@@ -87,6 +74,10 @@ def init(self, **kwargs):
             self.connection_provider = self.extension.get_connection_provider()
             self.credential = self.extension.get_credential()
             self.sample = get_sample_json(self.project_path, logger)
+
+            self.init = kwargs.get("init", {})
+            logger.info("Init params: " + str(self.init))
+
             self.init_swagger()
             # try to initialize the flow invoker
             try:
@@ -110,7 +101,7 @@ def init_invoker_if_not_exist(self):
             return
         logger.info("Promptflow executor starts initializing...")
         self.flow_invoker = FlowInvoker(
-            self.project_path,
+            flow=Flow.load(source=self.project_path),
             connection_provider=self.connection_provider,
             streaming=streaming_response_required,
             raise_ex=False,
@@ -119,7 +110,9 @@ def init_invoker_if_not_exist(self):
             # for serving, we don't need to persist intermediate result, this is to avoid memory leak.
             storage=DummyRunStorage(),
             credential=self.credential,
+            init_kwargs=self.init,
         )
+        # why we need to update bonded executable flow?
         self.flow = self.flow_invoker.flow
         # Set the flow name as folder name
         self.flow.name = self.flow_name
@@ -129,6 +122,8 @@ def init_invoker_if_not_exist(self):
     def init_swagger(self):
         self.response_fields_to_remove = get_output_fields_to_remove(self.flow, logger)
         self.swagger = generate_swagger(self.flow, self.sample, self.response_fields_to_remove)
+        data = load_feedback_swagger()
+        self.swagger["paths"]["/feedback"] = data
 
     def set_default_environment_variables(self, default_environment_variables: Dict[str, str] = None):
         if default_environment_variables is None:
@@ -164,8 +159,25 @@ def score():
         run_id = g.get("req_id", None)
         # TODO: refine this once we can directly set the input/output log level to DEBUG in flow_invoker.
         disable_data_logging = logger.level >= logging.INFO
-        flow_result = app.flow_invoker.invoke(data, run_id=run_id, disable_input_output_logging=disable_data_logging)
-        g.flow_result = flow_result
+        span = trace.get_current_span()
+        if span == INVALID_SPAN:
+            # no parent span, try to extract trace context from request
+            ctx = try_extract_trace_context(logger)
+        else:
+            ctx = None
+        token = context.attach(ctx) if ctx else None
+        try:
+            req_id = g.get("req_id", None)
+            if req_id:
+                OperationContext.get_instance()._add_otel_attributes("request_id", req_id)
+            flow_result = app.flow_invoker.invoke(
+                data, run_id=run_id, disable_input_output_logging=disable_data_logging
+            )  # noqa
+            g.flow_result = flow_result
+        finally:
+            # detach trace context if exist
+            if token:
+                context.detach(token)
 
         # check flow result, if failed, return error response
         if flow_result.run_info.status != Status.Completed:
@@ -198,7 +210,7 @@ def swagger():
     @app.route("/health", methods=["GET"])
     def health():
         """Check if the runtime is alive."""
-        return {"status": "Healthy", "version": VERSION}
+        return {"status": "Healthy", "version": __version__}
 
     @app.route("/version", methods=["GET"])
     def version():
@@ -208,12 +220,58 @@ def version():
             build_info_dict = json.loads(build_info)
             version = build_info_dict["build_number"]
         except Exception:
-            version = VERSION
+            version = __version__
         return {"status": "Healthy", "build_info": build_info, "version": version}
 
+    @app.route("/feedback", methods=["POST"])
+    def feedback():
+        ctx = try_extract_trace_context(logger)
+        from opentelemetry import trace
+
+        open_telemetry_tracer = trace.get_tracer_provider().get_tracer("promptflow")
+        token = context.attach(ctx) if ctx else None
+        try:
+            with open_telemetry_tracer.start_as_current_span(FEEDBACK_TRACE_SPAN_NAME) as span:
+                data = request.get_data(as_text=True)
+                should_flatten = request.args.get("flatten", "false").lower() == "true"
+                if should_flatten:
+                    try:
+                        # try flatten the data to avoid data too big issue (especially for app insights scenario)
+                        data = json.loads(data)
+                        for k in data:
+                            span.set_attribute(k, serialize_attribute_value(data[k]))
+                    except Exception as e:
+                        logger.warning(f"Failed to flatten the feedback, fall back to non-flattern mode. Error: {e}.")
+                        span.set_attribute(FEEDBACK_TRACE_FIELD_NAME, data)
+                else:
+                    span.set_attribute(FEEDBACK_TRACE_FIELD_NAME, data)
+                # add baggage data if exist
+                data = baggage.get_all()
+                if data:
+                    for k, v in data.items():
+                        span.set_attribute(k, v)
+        finally:
+            if token:
+                context.detach(token)
+        return {"status": "Feedback received."}
+
 
 def create_app(**kwargs):
     app = PromptflowServingApp(__name__)
+    # enable CORS
+    try:
+        from flask_cors import CORS
+
+        CORS(app)
+    except ImportError:
+        logger.warning("flask-cors is not installed, CORS is not enabled.")
+    # enable auto-instrumentation if customer installed opentelemetry-instrumentation-flask
+    try:
+        from opentelemetry.instrumentation.flask import FlaskInstrumentor
+
+        FlaskInstrumentor().instrument_app(app, excluded_urls="/swagger.json,/health,/version")
+    except ImportError:
+        logger.info("opentelemetry-instrumentation-flask is not installed, auto-instrumentation is not enabled.")
     if __name__ != "__main__":
         app.logger.handlers = logger.handlers
         app.logger.setLevel(logger.level)
diff --git a/src/promptflow/promptflow/_sdk/_service/utils/__init__.py b/src/promptflow-core/promptflow/core/_serving/blueprint/__init__.py
similarity index 100%
rename from src/promptflow/promptflow/_sdk/_service/utils/__init__.py
rename to src/promptflow-core/promptflow/core/_serving/blueprint/__init__.py
diff --git a/src/promptflow/promptflow/_sdk/_serving/blueprint/monitor_blueprint.py b/src/promptflow-core/promptflow/core/_serving/blueprint/monitor_blueprint.py
similarity index 86%
rename from src/promptflow/promptflow/_sdk/_serving/blueprint/monitor_blueprint.py
rename to src/promptflow-core/promptflow/core/_serving/blueprint/monitor_blueprint.py
index aea4408dbb9..a086ac01bcb 100644
--- a/src/promptflow/promptflow/_sdk/_serving/blueprint/monitor_blueprint.py
+++ b/src/promptflow-core/promptflow/core/_serving/blueprint/monitor_blueprint.py
@@ -2,8 +2,11 @@
 # Copyright (c) Microsoft Corporation. All rights reserved.
 # ---------------------------------------------------------
 
-from flask import Blueprint, current_app as app, request
-from promptflow._sdk._serving.monitor.flow_monitor import FlowMonitor
+from flask import Blueprint
+from flask import current_app as app
+from flask import request
+
+from promptflow.core._serving.monitor.flow_monitor import FlowMonitor
 
 
 def is_monitoring_enabled() -> bool:
diff --git a/src/promptflow/promptflow/_sdk/_serving/blueprint/static_web_blueprint.py b/src/promptflow-core/promptflow/core/_serving/blueprint/static_web_blueprint.py
similarity index 93%
rename from src/promptflow/promptflow/_sdk/_serving/blueprint/static_web_blueprint.py
rename to src/promptflow-core/promptflow/core/_serving/blueprint/static_web_blueprint.py
index 7507c8292b6..ef4be2e2967 100644
--- a/src/promptflow/promptflow/_sdk/_serving/blueprint/static_web_blueprint.py
+++ b/src/promptflow-core/promptflow/core/_serving/blueprint/static_web_blueprint.py
@@ -2,10 +2,13 @@
 # Copyright (c) Microsoft Corporation. All rights reserved.
 # ---------------------------------------------------------
 
+from pathlib import Path
+
 import flask
+from flask import Blueprint
+from flask import current_app as app
+from flask import request, url_for
 from jinja2 import Template
-from pathlib import Path
-from flask import Blueprint, request, url_for, current_app as app
 
 
 def construct_staticweb_blueprint(static_folder):
diff --git a/src/promptflow-core/promptflow/core/_serving/constants.py b/src/promptflow-core/promptflow/core/_serving/constants.py
new file mode 100644
index 00000000000..296239f0e77
--- /dev/null
+++ b/src/promptflow-core/promptflow/core/_serving/constants.py
@@ -0,0 +1,6 @@
+# ---------------------------------------------------------
+# Copyright (c) Microsoft Corporation. All rights reserved.
+# ---------------------------------------------------------
+
+FEEDBACK_TRACE_FIELD_NAME = "feedback"
+FEEDBACK_TRACE_SPAN_NAME = "promptflow-feedback"
diff --git a/src/promptflow/promptflow/_sdk/_serving/__init__.py b/src/promptflow-core/promptflow/core/_serving/extension/__init__.py
similarity index 100%
rename from src/promptflow/promptflow/_sdk/_serving/__init__.py
rename to src/promptflow-core/promptflow/core/_serving/extension/__init__.py
diff --git a/src/promptflow/promptflow/_sdk/_serving/extension/azureml_extension.py b/src/promptflow-core/promptflow/core/_serving/extension/azureml_extension.py
similarity index 70%
rename from src/promptflow/promptflow/_sdk/_serving/extension/azureml_extension.py
rename to src/promptflow-core/promptflow/core/_serving/extension/azureml_extension.py
index e5aee077805..c5ab797d0b9 100644
--- a/src/promptflow/promptflow/_sdk/_serving/extension/azureml_extension.py
+++ b/src/promptflow-core/promptflow/core/_serving/extension/azureml_extension.py
@@ -7,28 +7,27 @@
 import re
 from typing import Any, Tuple
 
-from promptflow._sdk._serving._errors import InvalidConnectionData, MissingConnectionProvider
-from promptflow._sdk._serving.extension.default_extension import AppExtension
-from promptflow._sdk._serving.monitor.data_collector import FlowDataCollector
-from promptflow._sdk._serving.monitor.flow_monitor import FlowMonitor
-from promptflow._sdk._serving.monitor.metrics import MetricsRecorder
-from promptflow._sdk._serving.monitor.mdc_exporter import MdcExporter
-from promptflow._sdk._serving.utils import decode_dict, get_pf_serving_env, normalize_connection_name
 from promptflow._utils.retry_utils import retry
-from promptflow._version import VERSION
 from promptflow.contracts.flow import Flow
-
-USER_AGENT = f"promptflow-cloud-serving/{VERSION}"
+from promptflow.core._serving._errors import InvalidConnectionData, MissingConnectionProvider
+from promptflow.core._serving.extension.default_extension import AppExtension
+from promptflow.core._serving.extension.extension_type import ExtensionType
+from promptflow.core._serving.monitor.data_collector import FlowDataCollector
+from promptflow.core._serving.utils import decode_dict, get_pf_serving_env, normalize_connection_name
+from promptflow.core._version import __version__
+
+USER_AGENT = f"promptflow-cloud-serving/{__version__}"
 AML_DEPLOYMENT_RESOURCE_ID_REGEX = "/subscriptions/(.*)/resourceGroups/(.*)/providers/Microsoft.MachineLearningServices/workspaces/(.*)/onlineEndpoints/(.*)/deployments/(.*)"  # noqa: E501
-AML_CONNECTION_PROVIDER_TEMPLATE = "azureml:/subscriptions/{}/resourceGroups/{}/providers/Microsoft.MachineLearningServices/workspaces/{}"  # noqa: E501
+AML_CONNECTION_PROVIDER_TEMPLATE = "azureml://subscriptions/{}/resourceGroups/{}/providers/Microsoft.MachineLearningServices/workspaces/{}"  # noqa: E501
 
 
 class AzureMLExtension(AppExtension):
     """AzureMLExtension is used to create extension for azureml serving."""
 
     def __init__(self, logger, **kwargs):
-        super().__init__(logger=logger, **kwargs)
-        self.logger = logger
+        super().__init__(
+            logger=logger, extension_type=ExtensionType.AZUREML, collector=FlowDataCollector(logger), **kwargs
+        )  # noqa: E501
         # parse promptflow project path
         project_path: str = get_pf_serving_env("PROMPTFLOW_PROJECT_PATH")
         if not project_path:
@@ -56,18 +55,6 @@ def __init__(self, logger, **kwargs):
             self.common_dimensions["deployment"] = self.deployment_name
         env_dimensions = self._get_common_dimensions_from_env()
         self.common_dimensions.update(env_dimensions)
-        # initialize flow monitor
-        data_collector = FlowDataCollector(self.logger)
-        metrics_recorder = self._get_metrics_recorder()
-        self.flow_monitor = FlowMonitor(
-            self.logger, self.get_flow_name(), data_collector, metrics_recorder=metrics_recorder
-        )
-        # initialize MDC trace exporter by default for azureml-serving
-        mdc_exporter = MdcExporter(self.logger)
-        self.trace_exporters = [mdc_exporter]
-        customized_exporters = super().get_trace_exporters(self.project_path)
-        if customized_exporters:
-            self.trace_exporters.extend(customized_exporters)
 
     def get_flow_project_path(self) -> str:
         return self.project_path
@@ -81,12 +68,6 @@ def get_connection_provider(self) -> str:
     def get_blueprints(self):
         return self._get_default_blueprints()
 
-    def get_flow_monitor(self) -> FlowMonitor:
-        return self.flow_monitor
-
-    def get_trace_exporters(self, flow_dir: str):
-        return self.trace_exporters
-
     def get_override_connections(self, flow: Flow) -> Tuple[dict, dict]:
         connection_names = flow.get_connection_names()
         connections = {}
@@ -109,9 +90,11 @@ def get_override_connections(self, flow: Flow) -> Tuple[dict, dict]:
                 if data_override:
                     try:
                         # try best to convert to connection, this is only for azureml deployment.
-                        from promptflow.azure.operations._arm_connection_operations import ArmConnectionOperations
+                        from promptflow.core._connection_provider._workspace_connection_provider import (
+                            WorkspaceConnectionProvider,
+                        )
 
-                        conn = ArmConnectionOperations._convert_to_connection_dict(connection_name, conn_data)
+                        conn = WorkspaceConnectionProvider._convert_to_connection_dict(connection_name, conn_data)
                         connections[connection_name] = conn
                     except Exception as e:
                         self.logger.warn(f"Failed to convert connection data to connection: {e}")
@@ -124,7 +107,7 @@ def get_override_connections(self, flow: Flow) -> Tuple[dict, dict]:
         return self.connections, connections_name_overrides
 
     def raise_ex_on_invoker_initialization_failure(self, ex: Exception):
-        from promptflow.azure.operations._arm_connection_operations import UserAuthenticationError
+        from promptflow.core._errors import UserAuthenticationError
 
         # allow lazy authentication for UserAuthenticationError
         return not isinstance(ex, UserAuthenticationError)
@@ -146,27 +129,6 @@ def _get_env_connections_if_exist(self):
             connections = decode_dict(env_connections)
         return connections
 
-    def _get_metrics_recorder(self):
-        # currently only support exporting it to azure monitor(application insights)
-        # TODO: add support for dynamic loading thus user can customize their own exporter.
-        custom_dimensions = self.get_metrics_common_dimensions()
-        try:
-            from azure.monitor.opentelemetry.exporter import AzureMonitorMetricExporter
-            from opentelemetry.sdk.metrics.export import PeriodicExportingMetricReader
-
-            # check whether azure monitor instrumentation key is set
-            instrumentation_key = os.getenv("AML_APP_INSIGHTS_KEY") or os.getenv("APPINSIGHTS_INSTRUMENTATIONKEY")
-            if instrumentation_key:
-                self.logger.info("Initialize metrics recorder with azure monitor metrics exporter...")
-                exporter = AzureMonitorMetricExporter(connection_string=f"InstrumentationKey={instrumentation_key}")
-                reader = PeriodicExportingMetricReader(exporter=exporter, export_interval_millis=60000)
-                return MetricsRecorder(self.logger, reader=reader, common_dimensions=custom_dimensions)
-            else:
-                self.logger.info("Azure monitor metrics exporter is not enabled, metrics will not be collected.")
-        except ImportError:
-            self.logger.warning("No metrics exporter module found, metrics will not be collected.")
-        return None
-
     def _initialize_connection_provider(self):
         # parse connection provider
         self.connection_provider = get_pf_serving_env("PROMPTFLOW_CONNECTION_PROVIDER")
diff --git a/src/promptflow/promptflow/_sdk/_serving/extension/default_extension.py b/src/promptflow-core/promptflow/core/_serving/extension/default_extension.py
similarity index 75%
rename from src/promptflow/promptflow/_sdk/_serving/extension/default_extension.py
rename to src/promptflow-core/promptflow/core/_serving/extension/default_extension.py
index 1bb258628cf..6992710905c 100644
--- a/src/promptflow/promptflow/_sdk/_serving/extension/default_extension.py
+++ b/src/promptflow-core/promptflow/core/_serving/extension/default_extension.py
@@ -9,21 +9,25 @@
 from typing import Tuple
 
 from promptflow._constants import DEFAULT_ENCODING
-from promptflow._sdk._configuration import Configuration
-from promptflow._sdk._serving.blueprint.monitor_blueprint import construct_monitor_blueprint
-from promptflow._sdk._serving.blueprint.static_web_blueprint import construct_staticweb_blueprint
-from promptflow._sdk._serving.monitor.flow_monitor import FlowMonitor
 from promptflow._utils.yaml_utils import load_yaml
-from promptflow._version import VERSION
 from promptflow.contracts.flow import Flow
-
-USER_AGENT = f"promptflow-local-serving/{VERSION}"
+from promptflow.core._serving.blueprint.monitor_blueprint import construct_monitor_blueprint
+from promptflow.core._serving.blueprint.static_web_blueprint import construct_staticweb_blueprint
+from promptflow.core._serving.extension.extension_type import ExtensionType
+from promptflow.core._serving.extension.otel_exporter_provider_factory import OTelExporterProviderFactory
+from promptflow.core._serving.monitor.flow_monitor import FlowMonitor
+from promptflow.core._version import __version__
+
+USER_AGENT = f"promptflow-local-serving/{__version__}"
 DEFAULT_STATIC_PATH = Path(__file__).parent.parent / "static"
 
 
 class AppExtension(ABC):
-    def __init__(self, logger, **kwargs):
+    def __init__(self, logger, extension_type: ExtensionType, collector=None, **kwargs):
         self.logger = logger
+        self.extension_type = extension_type
+        self.data_collector = collector
+        self.flow_monitor = None
 
     @abstractmethod
     def get_flow_project_path(self) -> str:
@@ -45,16 +49,12 @@ def get_blueprints(self):
         """Get blueprints for current extension."""
         pass
 
-    def get_trace_exporters(self, flow_dir: str):
-        """Get customized trace exporters for current extension."""
-        return None
-
     def get_override_connections(self, flow: Flow) -> Tuple[dict, dict]:
         """
         Get override connections for current extension.
 
         :param flow: The flow to execute.
-        :type flow: ~promptflow._sdk.entities._flow.Flow
+        :type flow: ~promptflow.contracts.flow.Flow
         :return: The override connections, first dict is for connection data override, second dict is for connection name override.  # noqa: E501
         :rtype: (dict, dict)
         """
@@ -84,8 +84,15 @@ def get_metrics_common_dimensions(self):
 
     def get_flow_monitor(self) -> FlowMonitor:
         """Get flow monitor for current extension."""
-        # default no data collector, no app insights metric exporter
-        return FlowMonitor(self.logger, self.get_flow_name(), None, metrics_recorder=None)
+        if self.flow_monitor:
+            return self.flow_monitor
+        custom_dimensions = self.get_metrics_common_dimensions()
+        metric_exporters = OTelExporterProviderFactory.get_metrics_exporters(self.logger, self.extension_type)
+        trace_exporters = OTelExporterProviderFactory.get_trace_exporters(self.logger, self.extension_type)
+        self.flow_monitor = FlowMonitor(
+            self.logger, self.get_flow_name(), self.data_collector, custom_dimensions, metric_exporters, trace_exporters
+        )  # noqa: E501
+        return self.flow_monitor
 
     def _get_mlflow_project_path(self, project_path: str):
         # check whether it's mlflow model
@@ -119,14 +126,11 @@ class DefaultAppExtension(AppExtension):
     """default app extension for local serve."""
 
     def __init__(self, logger, **kwargs):
-        self.logger = logger
+        super().__init__(logger=logger, extension_type=ExtensionType.DEFAULT, **kwargs)
         static_folder = kwargs.get("static_folder", None)
         self.static_folder = static_folder if static_folder else DEFAULT_STATIC_PATH
         logger.info(f"Static_folder: {self.static_folder}")
-        app_config = kwargs.get("config", None) or {}
-        pf_config = Configuration(overrides=app_config)
-        logger.info(f"Promptflow config: {pf_config}")
-        self.connection_provider = pf_config.get_connection_provider()
+        self.connection_provider = kwargs.get("connection_provider", None) or None
 
     def get_flow_project_path(self) -> str:
         return os.getenv("PROMPTFLOW_PROJECT_PATH", ".")
diff --git a/src/promptflow/promptflow/_sdk/_serving/extension/extension_factory.py b/src/promptflow-core/promptflow/core/_serving/extension/extension_factory.py
similarity index 58%
rename from src/promptflow/promptflow/_sdk/_serving/extension/extension_factory.py
rename to src/promptflow-core/promptflow/core/_serving/extension/extension_factory.py
index 69f8a5f3511..6725c820d5e 100644
--- a/src/promptflow/promptflow/_sdk/_serving/extension/extension_factory.py
+++ b/src/promptflow-core/promptflow/core/_serving/extension/extension_factory.py
@@ -2,15 +2,8 @@
 # Copyright (c) Microsoft Corporation. All rights reserved.
 # ---------------------------------------------------------
 
-from enum import Enum
-from promptflow._sdk._serving.extension.default_extension import AppExtension
-
-
-class ExtensionType(Enum):
-    """Extension type used to identify which extension to load in serving app."""
-
-    Default = "local"
-    AzureML = "azureml"
+from promptflow.core._serving.extension.default_extension import AppExtension
+from promptflow.core._serving.extension.extension_type import ExtensionType
 
 
 class ExtensionFactory:
@@ -19,17 +12,17 @@ class ExtensionFactory:
     @staticmethod
     def create_extension(logger, **kwargs) -> AppExtension:
         """Create extension based on extension type."""
-        extension_type_str = kwargs.get("extension_type", ExtensionType.Default.value)
+        extension_type_str = kwargs.pop("extension_type", ExtensionType.DEFAULT.value)
         if not extension_type_str:
-            extension_type_str = ExtensionType.Default.value
+            extension_type_str = ExtensionType.DEFAULT.value
         extension_type = ExtensionType(extension_type_str.lower())
 
-        if extension_type == ExtensionType.AzureML:
+        if extension_type == ExtensionType.AZUREML:
             logger.info("Enable AzureML extension.")
-            from promptflow._sdk._serving.extension.azureml_extension import AzureMLExtension
+            from promptflow.core._serving.extension.azureml_extension import AzureMLExtension
 
             return AzureMLExtension(logger=logger, **kwargs)
         else:
-            from promptflow._sdk._serving.extension.default_extension import DefaultAppExtension
+            from promptflow.core._serving.extension.default_extension import DefaultAppExtension
 
             return DefaultAppExtension(logger=logger, **kwargs)
diff --git a/src/promptflow-core/promptflow/core/_serving/extension/extension_type.py b/src/promptflow-core/promptflow/core/_serving/extension/extension_type.py
new file mode 100644
index 00000000000..c16e76c41af
--- /dev/null
+++ b/src/promptflow-core/promptflow/core/_serving/extension/extension_type.py
@@ -0,0 +1,12 @@
+# ---------------------------------------------------------
+# Copyright (c) Microsoft Corporation. All rights reserved.
+# ---------------------------------------------------------
+
+from enum import Enum
+
+
+class ExtensionType(Enum):
+    """Extension type used to identify which extension to load in serving app."""
+
+    DEFAULT = "local"
+    AZUREML = "azureml"
diff --git a/src/promptflow-core/promptflow/core/_serving/extension/otel_exporter_provider_factory.py b/src/promptflow-core/promptflow/core/_serving/extension/otel_exporter_provider_factory.py
new file mode 100644
index 00000000000..779499f2ff3
--- /dev/null
+++ b/src/promptflow-core/promptflow/core/_serving/extension/otel_exporter_provider_factory.py
@@ -0,0 +1,123 @@
+# ---------------------------------------------------------
+# Copyright (c) Microsoft Corporation. All rights reserved.
+# ---------------------------------------------------------
+
+import os
+from abc import abstractmethod
+from enum import Enum
+
+from promptflow.core._serving.extension.extension_type import ExtensionType
+from promptflow.core._serving.monitor.mdc_exporter import MdcExporter
+
+
+class ExporterType(Enum):
+    METRIC = "metric"
+    TRACE = "trace"
+
+
+class OTelExporterProvider:
+    def __init__(self, logger, exporter_type: ExporterType) -> None:
+        self.logger = logger
+        self._exporter_type = exporter_type
+
+    @abstractmethod
+    def is_enabled(self, extension: ExtensionType):
+        """check whether the exporter is enabled for given extension."""
+        pass
+
+    @abstractmethod
+    def get_exporter(self, **kwargs):
+        """get exporter instance."""
+        pass
+
+    @property
+    def exporter_type(self) -> ExporterType:
+        return self._exporter_type
+
+
+class AppInsightExporterProvider(OTelExporterProvider):
+    def __init__(self, logger, exporter_type: ExporterType) -> None:
+        super().__init__(logger, exporter_type)
+        self.app_insight_connection_string = try_get_app_insight_connection_string()
+        if not self.app_insight_connection_string:
+            self.logger.info(f"No connection string detected, app insight {exporter_type.value} exporter is disabled.")
+
+    def is_enabled(self, extension: ExtensionType):
+        return self.app_insight_connection_string is not None
+
+
+class AppInsightTraceExporterProvider(AppInsightExporterProvider):
+    def __init__(self, logger) -> None:
+        super().__init__(logger, ExporterType.TRACE)
+
+    def get_exporter(self, **kwargs):
+        try:
+            from azure.monitor.opentelemetry.exporter import AzureMonitorTraceExporter
+
+            return AzureMonitorTraceExporter.from_connection_string(self.app_insight_connection_string)
+        except ImportError:
+            return None
+
+
+class MdcTraceExporterProvider(OTelExporterProvider):
+    def __init__(self, logger) -> None:
+        super().__init__(logger, ExporterType.TRACE)
+
+    def is_enabled(self, extension: ExtensionType):
+        return extension == ExtensionType.AZUREML
+
+    def get_exporter(self, **kwargs):
+        return MdcExporter(self.logger)
+
+
+class AppInsightMetricsExporterProvider(AppInsightExporterProvider):
+    def __init__(self, logger) -> None:
+        super().__init__(logger, ExporterType.METRIC)
+
+    def get_exporter(self, **kwargs):
+        try:
+            from azure.monitor.opentelemetry.exporter import AzureMonitorMetricExporter
+
+            return AzureMonitorMetricExporter.from_connection_string(self.app_insight_connection_string)
+        except ImportError:
+            return None
+
+
+class OTelExporterProviderFactory:
+    """Factory to create OTel trace and metric exporters based on extension type."""
+
+    @staticmethod
+    def get_trace_exporters(logger, extension: ExtensionType, **kwargs):
+        trace_providers = [AppInsightTraceExporterProvider(logger), MdcTraceExporterProvider(logger)]
+        exporters = []
+        for provider in trace_providers:
+            if provider.is_enabled(extension):
+                exporter = provider.get_exporter(**kwargs)
+                if exporter:
+                    exporters.append(exporter)
+        return exporters
+
+    @staticmethod
+    def get_metrics_exporters(logger, extension: ExtensionType, **kwargs):
+        metric_providers = [AppInsightMetricsExporterProvider(logger)]
+        exporters = []
+        for provider in metric_providers:
+            if provider.is_enabled(extension):
+                exporter = provider.get_exporter(**kwargs)
+                if exporter:
+                    exporters.append(exporter)
+        return exporters
+
+
+def try_get_app_insight_connection_string():
+    """
+    Try to get application insight connection string from environment variable.
+    app insight base exporter support these environment variables:
+    - "APPINSIGHTS_INSTRUMENTATIONKEY"
+    - "APPLICATIONINSIGHTS_CONNECTION_STRING"
+    """
+    instrumentation_key = os.getenv("AML_APP_INSIGHTS_KEY") or os.getenv("APPINSIGHTS_INSTRUMENTATIONKEY")
+    if instrumentation_key:
+        return f"InstrumentationKey={instrumentation_key}"
+    connection_str = os.getenv("APPLICATIONINSIGHTS_CONNECTION_STRING")
+    return connection_str
diff --git a/src/promptflow/promptflow/_sdk/_serving/flow_invoker.py b/src/promptflow-core/promptflow/core/_serving/flow_invoker.py
similarity index 73%
rename from src/promptflow/promptflow/_sdk/_serving/flow_invoker.py
rename to src/promptflow-core/promptflow/core/_serving/flow_invoker.py
index 22d855c7b66..09a0c6ce659 100644
--- a/src/promptflow/promptflow/_sdk/_serving/flow_invoker.py
+++ b/src/promptflow-core/promptflow/core/_serving/flow_invoker.py
@@ -2,27 +2,26 @@
 # Copyright (c) Microsoft Corporation. All rights reserved.
 # ---------------------------------------------------------
 import dataclasses
+import os
 from pathlib import Path
 from typing import Callable, Union
 
-from promptflow import PFClient
-from promptflow._sdk._load_functions import load_flow
-from promptflow._sdk._serving._errors import UnexpectedConnectionProviderReturn, UnsupportedConnectionProvider
-from promptflow._sdk._serving.flow_result import FlowResult
-from promptflow._sdk._serving.utils import validate_request_data
-from promptflow._sdk._utils import (
-    dump_flow_result,
-    get_local_connections_from_executable,
+from promptflow._utils.dataclass_serializer import convert_eager_flow_output_to_dict
+from promptflow._utils.flow_utils import dump_flow_result, is_executable_chat_flow
+from promptflow._utils.logger_utils import LoggerFactory
+from promptflow._utils.multimedia_utils import MultimediaProcessor
+from promptflow.core._connection import _Connection
+from promptflow.core._connection_provider._connection_provider import ConnectionProvider
+from promptflow.core._flow import AbstractFlowBase
+from promptflow.core._serving._errors import UnexpectedConnectionProviderReturn, UnsupportedConnectionProvider
+from promptflow.core._serving.flow_result import FlowResult
+from promptflow.core._serving.utils import validate_request_data
+from promptflow.core._utils import (
+    init_executable,
     override_connection_config_with_environment_variable,
     resolve_connections_environment_variable_reference,
     update_environment_variables_with_connections,
 )
-from promptflow._sdk.entities._connection import _Connection
-from promptflow._sdk.entities._flow import Flow
-from promptflow._sdk.operations._flow_operations import FlowOperations
-from promptflow._utils.dataclass_serializer import convert_eager_flow_output_to_dict
-from promptflow._utils.logger_utils import LoggerFactory
-from promptflow._utils.multimedia_utils import convert_multimedia_data_to_base64, persist_multimedia_data
 from promptflow.executor import FlowExecutor
 from promptflow.storage._run_storage import DefaultRunStorage
 
@@ -31,8 +30,8 @@ class FlowInvoker:
     """
     The invoker of a flow.
 
-    :param flow: The path of the flow, or the flow loaded by load_flow().
-    :type flow: [str, ~promptflow._sdk.entities._flow.Flow]
+    :param flow: A loaded Flow object.
+    :type flow: Flow
     :param connection_provider: The connection provider, defaults to None
     :type connection_provider: [str, Callable], optional
     :param streaming: The function or bool to determine enable streaming or not, defaults to lambda: False
@@ -45,21 +44,26 @@ class FlowInvoker:
     :type connections_name_overrides: dict, optional
     :param raise_ex: Whether to raise exception when executing flow, defaults to True
     :type raise_ex: bool, optional
+    :param init_kwargs: Class init arguments for callable class, only supported for flex flow.
+    :type init_kwargs: dict, optional
     """
 
     def __init__(
         self,
-        flow: [str, Flow],
+        flow: AbstractFlowBase,
         connection_provider: [str, Callable] = None,
         streaming: Union[Callable[[], bool], bool] = False,
         connections: dict = None,
         connections_name_overrides: dict = None,
         raise_ex: bool = True,
+        init_kwargs: dict = None,
         **kwargs,
     ):
         self.logger = kwargs.get("logger", LoggerFactory.get_logger("flowinvoker"))
-        self.flow_entity = flow if isinstance(flow, Flow) else load_flow(source=flow)
-        self.flow = self.flow_entity._init_executable()
+        self._init_kwargs = init_kwargs or {}
+        self.logger.debug(f"Init flow invoker with init kwargs: {self._init_kwargs}")
+        # TODO: avoid to use private attribute after we finalize the inheritance
+        self.flow = init_executable(working_dir=flow._code, flow_path=flow._path)
         self.connections = connections or {}
         self.connections_name_overrides = connections_name_overrides or {}
         self.raise_ex = raise_ex
@@ -72,23 +76,58 @@ def __init__(
         self._credential = kwargs.get("credential", None)
 
         self._init_connections(connection_provider)
-        self._init_executor()
+        # TODO: avoid to use private attribute after we finalize the inheritance
+        self._init_executor(flow._path, flow._code)
         self._dump_file_prefix = "chat" if self._is_chat_flow else "flow"
+        self._multimedia_processor = MultimediaProcessor.create(self.flow.message_format)
+
+    def resolve_connections(
+        self,
+        connection_names,
+        provider,
+        *,
+        raise_error=False,
+        connections_to_ignore=None,
+        connections_to_add=None,
+    ):
+        """Resolve connections required by flow, get connections from provider."""
+        connection_names = set(connection_names)
+        if connections_to_add:
+            connection_names.update(connections_to_add)
+        result = {}
+        for name in connection_names:
+            if connections_to_ignore and name in connections_to_ignore:
+                continue
+            try:
+                conn = provider.get(name=name)
+                result[name] = conn._to_execution_connection_dict()
+            except Exception as e:
+                if raise_error:
+                    raise e
+        return result
 
     def _init_connections(self, connection_provider):
-        self._is_chat_flow, _, _ = FlowOperations._is_chat_flow(self.flow)
-        connection_provider = "local" if connection_provider is None else connection_provider
-        if isinstance(connection_provider, str):
-            self.logger.info(f"Getting connections from pf client with provider {connection_provider}...")
+        self._is_chat_flow, _, _ = is_executable_chat_flow(self.flow)
+
+        if connection_provider is None or isinstance(connection_provider, str):
+            self.logger.info(f"Getting connections from pf client with provider from args: {connection_provider}...")
             connections_to_ignore = list(self.connections.keys())
+            self.logger.debug(f"Flow invoker connections: {self.connections.keys()}")
             connections_to_ignore.extend(self.connections_name_overrides.keys())
+            self.logger.debug(f"Flow invoker connections name overrides: {self.connections_name_overrides.keys()}")
+            self.logger.debug(f"Ignoring connections: {connections_to_ignore}")
             # Note: The connection here could be local or workspace, depends on the connection.provider in pf.yaml.
-            connections = get_local_connections_from_executable(
-                executable=self.flow,
-                client=PFClient(config={"connection.provider": connection_provider}, credential=self._credential),
+            connections = self.resolve_connections(
+                # use os.environ to override flow definition's connection since
+                # os.environ is resolved to user's setting now
+                connection_names=self.flow.get_connection_names(
+                    environment_variables_overrides=os.environ,
+                ),
+                provider=ConnectionProvider.init_from_provider_config(connection_provider, credential=self._credential),
                 connections_to_ignore=connections_to_ignore,
                 # fetch connections with name override
                 connections_to_add=list(self.connections_name_overrides.values()),
+                raise_error=True,
             )
             # use original name for connection with name override
             override_name_to_original_name_mapping = {v: k for k, v in self.connections_name_overrides.items()}
@@ -119,7 +158,7 @@ def _init_connections(self, connection_provider):
         update_environment_variables_with_connections(self.connections)
         self.logger.info(f"Promptflow get connections successfully. keys: {self.connections.keys()}")
 
-    def _init_executor(self):
+    def _init_executor(self, flow_path, working_dir):
         self.logger.info("Promptflow executor starts initializing...")
         storage = None
         if self._dump_to:
@@ -127,11 +166,12 @@ def _init_executor(self):
         else:
             storage = self.storage
         self.executor = FlowExecutor.create(
-            flow_file=self.flow_entity.path,
-            working_dir=self.flow_entity.code,
+            flow_file=flow_path,
+            working_dir=working_dir,
             connections=self.connections,
             raise_ex=self.raise_ex,
             storage=storage,
+            init_kwargs=self._init_kwargs,
         )
         self.executor.enable_streaming_for_llm_flow(self.streaming)
         self.logger.info("Promptflow executor initiated successfully.")
@@ -189,15 +229,16 @@ def invoke(self, data: dict, run_id=None, disable_input_output_logging=False):
 
     def _convert_multimedia_data_to_base64(self, output_dict):
         resolved_outputs = {
-            k: convert_multimedia_data_to_base64(v, with_type=True, dict_type=True) for k, v in output_dict.items()
+            k: self._multimedia_processor.convert_multimedia_data_to_base64_dict(v) for k, v in output_dict.items()
         }
         return resolved_outputs
 
     def _dump_invoke_result(self, invoke_result):
         if self._dump_to:
-            invoke_result.output = persist_multimedia_data(
+            invoke_result.output = self._multimedia_processor.persist_multimedia_data(
                 invoke_result.output, base_dir=self._dump_to, sub_dir=Path(".promptflow/output")
             )
+
             dump_flow_result(flow_folder=self._dump_to, flow_result=invoke_result, prefix=self._dump_file_prefix)
 
 
diff --git a/src/promptflow/promptflow/_sdk/_serving/flow_result.py b/src/promptflow-core/promptflow/core/_serving/flow_result.py
similarity index 100%
rename from src/promptflow/promptflow/_sdk/_serving/flow_result.py
rename to src/promptflow-core/promptflow/core/_serving/flow_result.py
diff --git a/src/promptflow/promptflow/_sdk/_serving/blueprint/__init__.py b/src/promptflow-core/promptflow/core/_serving/monitor/__init__.py
similarity index 100%
rename from src/promptflow/promptflow/_sdk/_serving/blueprint/__init__.py
rename to src/promptflow-core/promptflow/core/_serving/monitor/__init__.py
diff --git a/src/promptflow/promptflow/_sdk/_serving/monitor/data_collector.py b/src/promptflow-core/promptflow/core/_serving/monitor/data_collector.py
similarity index 87%
rename from src/promptflow/promptflow/_sdk/_serving/monitor/data_collector.py
rename to src/promptflow-core/promptflow/core/_serving/monitor/data_collector.py
index 654e5444206..7bb6f8df520 100644
--- a/src/promptflow/promptflow/_sdk/_serving/monitor/data_collector.py
+++ b/src/promptflow-core/promptflow/core/_serving/monitor/data_collector.py
@@ -21,10 +21,10 @@ def _init_data_collector(self) -> bool:
             self.outputs_collector = Collector(name="model_outputs")
             return True
         except ImportError as e:
-            self.logger.warn(f"Load mdc related module failed: {e}")
+            self.logger.warning(f"Load mdc related module failed: {e}")
             return False
         except Exception as e:
-            self.logger.warn(f"Init mdc failed: {e}")
+            self.logger.warning(f"Init mdc failed: {e}")
             return False
 
     def collect_flow_data(self, input: dict, output: dict, req_id: str = None, client_req_id: str = None):
@@ -47,6 +47,6 @@ def collect_flow_data(self, input: dict, output: dict, req_id: str = None, clien
             # collect outputs data, pass in correlation_context so inputs and outputs data can be correlated later
             self.outputs_collector.collect(output_df, ctx)
         except ImportError as e:
-            self.logger.warn(f"Load mdc related module failed: {e}")
+            self.logger.warning(f"Load mdc related module failed: {e}")
         except Exception as e:
-            self.logger.warn(f"Collect flow data failed: {e}")
+            self.logger.warning(f"Collect flow data failed: {e}")
diff --git a/src/promptflow/promptflow/_sdk/_serving/monitor/flow_monitor.py b/src/promptflow-core/promptflow/core/_serving/monitor/flow_monitor.py
similarity index 61%
rename from src/promptflow/promptflow/_sdk/_serving/monitor/flow_monitor.py
rename to src/promptflow-core/promptflow/core/_serving/monitor/flow_monitor.py
index 1617cc6fe86..b5facc02748 100644
--- a/src/promptflow/promptflow/_sdk/_serving/monitor/flow_monitor.py
+++ b/src/promptflow-core/promptflow/core/_serving/monitor/flow_monitor.py
@@ -3,23 +3,74 @@
 # ---------------------------------------------------------
 
 import time
-from promptflow._sdk._serving.monitor.data_collector import FlowDataCollector
-from promptflow._sdk._serving.monitor.streaming_monitor import StreamingMonitor
-from promptflow._sdk._serving.monitor.metrics import MetricsRecorder, ResponseType
-from promptflow._sdk._serving.utils import streaming_response_required, get_cost_up_to_now
-from promptflow._sdk._serving.flow_result import FlowResult
+from typing import Dict
+
+from flask import g, request
+
 from promptflow._utils.exception_utils import ErrorResponse
-from flask import request, g
+from promptflow.core._serving.flow_result import FlowResult
+from promptflow.core._serving.monitor.data_collector import FlowDataCollector
+from promptflow.core._serving.monitor.metrics import MetricsRecorder, ResponseType
+from promptflow.core._serving.monitor.streaming_monitor import StreamingMonitor
+from promptflow.core._serving.utils import get_cost_up_to_now, streaming_response_required
 
 
 class FlowMonitor:
     """FlowMonitor is used to collect metrics & data for promptflow serving."""
 
-    def __init__(self, logger, default_flow_name, data_collector: FlowDataCollector, metrics_recorder: MetricsRecorder):
+    def __init__(
+        self,
+        logger,
+        default_flow_name,
+        data_collector: FlowDataCollector,
+        custom_dimensions: Dict[str, str],
+        metric_exporters=None,
+        trace_exporters=None,
+    ):
         self.data_collector = data_collector
-        self.metrics_recorder = metrics_recorder
         self.logger = logger
+        self.metrics_recorder = self.setup_metrics_recorder(custom_dimensions, metric_exporters)
         self.flow_name = default_flow_name
+        self.setup_trace_exporters(trace_exporters)
+
+    def setup_metrics_recorder(self, custom_dimensions, metric_exporters):
+        if metric_exporters:
+            from opentelemetry.sdk.metrics.export import PeriodicExportingMetricReader
+
+            exporter_names = [n.__class__.__name__ for n in metric_exporters]
+            self.logger.info(f"Enable {len(metric_exporters)} metric exporters: {exporter_names}.")
+            readers = []
+            for exporter in metric_exporters:
+                reader = PeriodicExportingMetricReader(exporter=exporter, export_interval_millis=60000)
+                readers.append(reader)
+            return MetricsRecorder(self.logger, readers=readers, common_dimensions=custom_dimensions)
+        else:
+            self.logger.warning("No metric exporter enabled.")
+        return None
+
+    def setup_trace_exporters(self, trace_exporters):
+        if not trace_exporters:
+            self.logger.warning("No trace exporter enabled.")
+            return
+        try:
+            exporter_names = [n.__class__.__name__ for n in trace_exporters]
+            self.logger.info(f"Enable {len(trace_exporters)} trace exporters: {exporter_names}.")
+            from opentelemetry import trace
+            from opentelemetry.sdk.resources import SERVICE_NAME, Resource
+            from opentelemetry.sdk.trace import TracerProvider
+            from opentelemetry.sdk.trace.export import BatchSpanProcessor
+
+            resource = Resource(
+                attributes={
+                    SERVICE_NAME: "promptflow",
+                }
+            )
+            trace.set_tracer_provider(TracerProvider(resource=resource))
+            provider = trace.get_tracer_provider()
+            for exporter in trace_exporters:
+                provider.add_span_processor(BatchSpanProcessor(exporter))
+        except Exception as e:
+            self.logger.error(f"Setup trace exporters failed: {e}")
 
     def setup_streaming_monitor_if_needed(self, response_creator, data, output):
         g.streaming = response_creator.has_stream_field and response_creator.text_stream_specified_explicitly
diff --git a/src/promptflow/promptflow/_sdk/_serving/monitor/mdc_exporter.py b/src/promptflow-core/promptflow/core/_serving/monitor/mdc_exporter.py
similarity index 84%
rename from src/promptflow/promptflow/_sdk/_serving/monitor/mdc_exporter.py
rename to src/promptflow-core/promptflow/core/_serving/monitor/mdc_exporter.py
index 38fb4f25160..2f7c0b22cec 100644
--- a/src/promptflow/promptflow/_sdk/_serving/monitor/mdc_exporter.py
+++ b/src/promptflow-core/promptflow/core/_serving/monitor/mdc_exporter.py
@@ -25,10 +25,10 @@ def _init_data_collector(self) -> bool:
             self.span_collector = Collector(name="app_traces")
             return True
         except ImportError as e:
-            self.logger.warn(f"Load mdc related module failed: {e}")
+            self.logger.warning(f"Load mdc related module failed: {e}")
             return False
         except Exception as e:
-            self.logger.warn(f"Init mdc for app_traces failed: {e}")
+            self.logger.warning(f"Init mdc for app_traces failed: {e}")
             return False
 
     def export(self, spans: Sequence[ReadableSpan]):
@@ -45,6 +45,6 @@ def export(self, spans: Sequence[ReadableSpan]):
                 self.span_collector.collect(span_df)
 
         except ImportError as e:
-            self.logger.warn(f"Load mdc related module failed: {e}")
+            self.logger.warning(f"Load mdc related module failed: {e}")
         except Exception as e:
-            self.logger.warn(f"Collect tracing spans failed: {e}")
+            self.logger.warning(f"Collect tracing spans failed: {e}")
diff --git a/src/promptflow/promptflow/_sdk/_serving/monitor/metrics.py b/src/promptflow-core/promptflow/core/_serving/monitor/metrics.py
similarity index 96%
rename from src/promptflow/promptflow/_sdk/_serving/monitor/metrics.py
rename to src/promptflow-core/promptflow/core/_serving/monitor/metrics.py
index 00b82948e72..39deea9ae5d 100644
--- a/src/promptflow/promptflow/_sdk/_serving/monitor/metrics.py
+++ b/src/promptflow-core/promptflow/core/_serving/monitor/metrics.py
@@ -3,12 +3,11 @@
 # ---------------------------------------------------------
 
 from enum import Enum
-from typing import Dict, Sequence, Set, List, Any
+from typing import Any, Dict, List, Sequence, Set
 
 from promptflow._utils.exception_utils import ErrorResponse
 from promptflow.contracts.run_info import FlowRunInfo, RunInfo, Status
 
-
 # define metrics dimension keys
 FLOW_KEY = "flow"
 RUN_STATUS_KEY = "run_status"
@@ -140,13 +139,13 @@ class LLMTokenType(Enum):
 class MetricsRecorder(object):
     """OpenTelemetry Metrics Recorder"""
 
-    def __init__(self, logger, reader=None, common_dimensions: Dict[str, str] = None) -> None:
+    def __init__(self, logger, readers=None, common_dimensions: Dict[str, str] = None) -> None:
         """initialize metrics recorder
 
         :param logger: logger
         :type logger: Logger
-        :param reader: metric reader
-        :type reader: opentelemetry.sdk.metrics.export.MetricReader
+        :param readers: metric reader list
+        :type readers: List[opentelemetry.sdk.metrics.export.MetricReader]
         :param common_dimensions: common dimensions for all metrics
         :type common_dimensions: Dict[str, str]
         """
@@ -159,9 +158,9 @@ def __init__(self, logger, reader=None, common_dimensions: Dict[str, str] = None
             )
             return
         self.common_dimensions = common_dimensions or {}
-        self.reader = reader
+        self.readers = readers
         dimension_keys = {key for key in common_dimensions}
-        self._config_common_monitor(dimension_keys, reader)
+        self._config_common_monitor(dimension_keys, readers)
         logger.info("OpenTelemetry metric is enabled, metrics will be recorded.")
 
     def record_flow_request(self, flow_id: str, response_code: int, exception: str, streaming: bool):
@@ -318,7 +317,7 @@ def _get_exact_error(self, err: Dict):
         return error_response.innermost_error_code
 
     # configure monitor, by default only expose prometheus metrics
-    def _config_common_monitor(self, common_keys: Set[str] = {}, reader=None):
+    def _config_common_monitor(self, common_keys: Set[str] = {}, readers=[]):
         metrics_views = [
             token_view,
             flow_latency_view,
@@ -330,10 +329,6 @@ def _config_common_monitor(self, common_keys: Set[str] = {}, reader=None):
         for view in metrics_views:
             view._attribute_keys.update(common_keys)
 
-        readers = []
-        if reader:
-            readers.append(reader)
-
         meter_provider = MeterProvider(
             metric_readers=readers,
             views=metrics_views,
diff --git a/src/promptflow/promptflow/_sdk/_serving/monitor/streaming_monitor.py b/src/promptflow-core/promptflow/core/_serving/monitor/streaming_monitor.py
similarity index 94%
rename from src/promptflow/promptflow/_sdk/_serving/monitor/streaming_monitor.py
rename to src/promptflow-core/promptflow/core/_serving/monitor/streaming_monitor.py
index cca9b46cdb8..a559e435278 100644
--- a/src/promptflow/promptflow/_sdk/_serving/monitor/streaming_monitor.py
+++ b/src/promptflow-core/promptflow/core/_serving/monitor/streaming_monitor.py
@@ -2,8 +2,8 @@
 # Copyright (c) Microsoft Corporation. All rights reserved.
 # ---------------------------------------------------------
 
-from promptflow._sdk._serving.utils import get_cost_up_to_now
-from promptflow._sdk._serving.monitor.metrics import ResponseType
+from promptflow.core._serving.monitor.metrics import ResponseType
+from promptflow.core._serving.utils import get_cost_up_to_now
 
 
 class StreamingMonitor:
diff --git a/src/promptflow-core/promptflow/core/_serving/resources/feedback_swagger.json b/src/promptflow-core/promptflow/core/_serving/resources/feedback_swagger.json
new file mode 100644
index 00000000000..04cc096158a
--- /dev/null
+++ b/src/promptflow-core/promptflow/core/_serving/resources/feedback_swagger.json
@@ -0,0 +1,47 @@
+{
+    "post": {
+        "summary": "collect promptflow feedback",
+        "requestBody": {
+            "description": "promptflow feedback data",
+            "required": true,
+            "content": {
+                "application/json": {
+                    "schema": {
+                        "type": "object",
+                        "additionalProperties": {}
+                    }
+                }
+            }
+        },
+        "responses": {
+            "200": {
+                "description": "successful operation",
+                "content": {
+                    "application/json": {
+                        "schema": {
+                            "type": "object",
+                            "additionalProperties": {}
+                        }
+                    }
+                }
+            },
+            "400": {
+                "description": "Invalid input"
+            },
+            "default": {
+                "description": "unexpected error"
+            }
+        }
+    },
+    "parameters": [
+        {
+            "name": "flatten",
+            "in": "query",
+            "description": "flatten the feedback data into traced data",
+            "required": false,
+            "schema": {
+                "type": "boolean"
+            }
+        }
+    ]
+}
diff --git a/src/promptflow/promptflow/_sdk/_serving/response_creator.py b/src/promptflow-core/promptflow/core/_serving/response_creator.py
similarity index 98%
rename from src/promptflow/promptflow/_sdk/_serving/response_creator.py
rename to src/promptflow-core/promptflow/core/_serving/response_creator.py
index fc9c745e437..5405aa9e9b8 100644
--- a/src/promptflow/promptflow/_sdk/_serving/response_creator.py
+++ b/src/promptflow-core/promptflow/core/_serving/response_creator.py
@@ -10,7 +10,7 @@
 from werkzeug.datastructures import MIMEAccept
 
 from promptflow._constants import DEFAULT_OUTPUT_NAME
-from promptflow._sdk._serving._errors import MultipleStreamOutputFieldsNotSupported, NotAcceptable
+from promptflow.core._serving._errors import MultipleStreamOutputFieldsNotSupported, NotAcceptable
 
 
 class ResponseCreator:
diff --git a/src/promptflow/promptflow/_sdk/_serving/static/index.html b/src/promptflow-core/promptflow/core/_serving/static/index.html
similarity index 100%
rename from src/promptflow/promptflow/_sdk/_serving/static/index.html
rename to src/promptflow-core/promptflow/core/_serving/static/index.html
diff --git a/src/promptflow/promptflow/_sdk/_serving/static/index.js b/src/promptflow-core/promptflow/core/_serving/static/index.js
similarity index 99%
rename from src/promptflow/promptflow/_sdk/_serving/static/index.js
rename to src/promptflow-core/promptflow/core/_serving/static/index.js
index 67d8e0adb2d..8a1430886fe 100644
--- a/src/promptflow/promptflow/_sdk/_serving/static/index.js
+++ b/src/promptflow-core/promptflow/core/_serving/static/index.js
@@ -29,7 +29,7 @@ INDIRECT, OR CONSEQUENTIAL DAMAGES OR ANY DAMAGES WHATSOEVER RESULTING FROM
 LOSS OF USE, DATA OR PROFITS, WHETHER IN AN ACTION OF CONTRACT, NEGLIGENCE OR
 OTHER TORTIOUS ACTION, ARISING OUT OF OR IN CONNECTION WITH THE USE OR
 PERFORMANCE OF THIS SOFTWARE.
-***************************************************************************** */var mE=function(e,t){return mE=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(n,r){n.__proto__=r}||function(n,r){for(var o in r)Object.prototype.hasOwnProperty.call(r,o)&&(n[o]=r[o])},mE(e,t)};function yi(e,t){if(typeof t!="function"&&t!==null)throw new TypeError("Class extends value "+String(t)+" is not a constructor or null");mE(e,t);function n(){this.constructor=e}e.prototype=t===null?Object.create(t):(n.prototype=t.prototype,new n)}var oe=function(){return oe=Object.assign||function(t){for(var n,r=1,o=arguments.length;r<o;r++){n=arguments[r];for(var i in n)Object.prototype.hasOwnProperty.call(n,i)&&(t[i]=n[i])}return t},oe.apply(this,arguments)};function pl(e,t){var n={};for(var r in e)Object.prototype.hasOwnProperty.call(e,r)&&t.indexOf(r)<0&&(n[r]=e[r]);if(e!=null&&typeof Object.getOwnPropertySymbols=="function")for(var 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diff --git a/src/promptflow/promptflow/_sdk/_serving/swagger.py b/src/promptflow-core/promptflow/core/_serving/swagger.py
similarity index 100%
rename from src/promptflow/promptflow/_sdk/_serving/swagger.py
rename to src/promptflow-core/promptflow/core/_serving/swagger.py
diff --git a/src/promptflow/promptflow/_sdk/_serving/utils.py b/src/promptflow-core/promptflow/core/_serving/utils.py
similarity index 77%
rename from src/promptflow/promptflow/_sdk/_serving/utils.py
rename to src/promptflow-core/promptflow/core/_serving/utils.py
index 91d681e6c4a..616f412a2ae 100644
--- a/src/promptflow/promptflow/_sdk/_serving/utils.py
+++ b/src/promptflow-core/promptflow/core/_serving/utils.py
@@ -1,23 +1,33 @@
 # ---------------------------------------------------------
 # Copyright (c) Microsoft Corporation. All rights reserved.
 # ---------------------------------------------------------
+import base64
 import json
 import os
 import time
-import base64
 import zlib
+from pathlib import Path
 
 from flask import jsonify, request
+from opentelemetry.baggage.propagation import W3CBaggagePropagator
+from opentelemetry.context import Context
+from opentelemetry.propagate import extract, set_global_textmap
+from opentelemetry.propagators.composite import CompositePropagator
+from opentelemetry.trace.propagation.tracecontext import TraceContextTextMapPropagator
 
-from promptflow._sdk._serving._errors import (
+from promptflow._utils.exception_utils import ErrorResponse, ExceptionPresenter
+from promptflow.contracts.flow import Flow as FlowContract
+from promptflow.core._serving._errors import (
     JsonPayloadRequiredForMultipleInputFields,
     MissingRequiredFlowInput,
     NotAcceptable,
 )
-from promptflow._utils.exception_utils import ErrorResponse, ExceptionPresenter
-from promptflow.contracts.flow import Flow as FlowContract
 from promptflow.exceptions import ErrorTarget
 
+DEFAULT_RESOURCE_PATH = Path(__file__).parent / "resources"
+# configure global propagator
+set_global_textmap(CompositePropagator([TraceContextTextMapPropagator(), W3CBaggagePropagator()]))
+
 
 def load_request_data(flow, raw_data, logger):
     try:
@@ -137,3 +147,34 @@ def encode_dict(data: dict) -> str:
     b64_data = base64.b64encode(zipped_data)
     # bytes -> str
     return b64_data.decode()
+
+
+def try_extract_trace_context(logger) -> Context:
+    """Try to extract trace context from request headers."""
+    # reference: https://www.w3.org/TR/trace-context/
+    context = extract(request.headers)
+    if context:
+        logger.info(f"Received trace context: {context}")
+    return context
+
+
+def serialize_attribute_value(v):
+    if isinstance(v, (str, int, float, bool)):
+        return v
+    elif isinstance(v, list):
+        return [serialize_attribute_value(x) for x in v]
+    else:
+        try:
+            v_str = json.dumps(v)
+        except Exception:
+            v_str = str(v)
+        return v_str
+
+
+def load_feedback_swagger():
+    feedback_swagger_path = DEFAULT_RESOURCE_PATH / "feedback_swagger.json"
+    # Open the JSON file
+    with open(feedback_swagger_path, "r") as file:
+        # Load JSON data from the file
+        data = json.load(file)
+    return data
diff --git a/src/promptflow-core/promptflow/core/_utils.py b/src/promptflow-core/promptflow/core/_utils.py
new file mode 100644
index 00000000000..7966229e736
--- /dev/null
+++ b/src/promptflow-core/promptflow/core/_utils.py
@@ -0,0 +1,237 @@
+# ---------------------------------------------------------
+# Copyright (c) Microsoft Corporation. All rights reserved.
+# ---------------------------------------------------------
+import json
+import multiprocessing
+import os
+import re
+from pathlib import Path
+from typing import Dict, Union
+
+from promptflow._constants import DEFAULT_ENCODING, FLOW_META_JSON, FLOW_META_JSON_GEN_TIMEOUT, PROMPT_FLOW_DIR_NAME
+from promptflow._utils.context_utils import _change_working_dir, inject_sys_path
+from promptflow._utils.flow_utils import is_flex_flow, resolve_entry_file, resolve_flow_path
+from promptflow._utils.logger_utils import LoggerFactory
+from promptflow._utils.utils import _match_reference
+from promptflow._utils.yaml_utils import load_yaml
+from promptflow.core._errors import GenerateFlowMetaJsonError
+from promptflow.exceptions import UserErrorException
+
+logger = LoggerFactory.get_logger(name=__name__)
+
+
+def _generate_meta_from_file(working_dir, source_path, data, meta_dict, exception_list):
+    from promptflow._core.tool_meta_generator import generate_flow_meta_dict_by_file
+
+    with _change_working_dir(working_dir), inject_sys_path(working_dir):
+        try:
+            result = generate_flow_meta_dict_by_file(
+                path=source_path,
+                data=data,
+            )
+            meta_dict.update(result)
+        except Exception as e:
+            exception_list.append(str(e))
+
+
+def _generate_flow_meta(
+    flow_directory: Path,
+    source_path: str,
+    data: dict,
+    timeout: int,
+    *,
+    load_in_subprocess: bool = True,
+) -> Dict[str, dict]:
+    """Generate tool meta from files.
+
+    :param flow_directory: flow directory
+    :param tools: tool list
+    :param raise_error: whether raise error when generate meta failed
+    :param timeout: timeout for generate meta
+    :param include_errors_in_output: whether include errors in output
+    :param load_in_subprocess: whether load tool meta with subprocess to prevent system path disturb. Default is True.
+        If set to False, will load tool meta in sync mode and timeout need to be handled outside current process.
+    :return: tool meta dict
+    """
+    if load_in_subprocess:
+        # use multiprocess generate to avoid system path disturb
+        manager = multiprocessing.Manager()
+        meta_dict = manager.dict()
+        exception_list = manager.list()
+        p = multiprocessing.Process(
+            target=_generate_meta_from_file, args=(flow_directory, source_path, data, meta_dict, exception_list)
+        )
+        p.start()
+        p.join(timeout=timeout)
+        if p.is_alive():
+            logger.warning(f"Generate meta timeout after {timeout} seconds, terminate the process.")
+            p.terminate()
+            p.join()
+    else:
+        meta_dict, exception_list = {}, []
+
+        #  There is no built-in method to forcefully stop a running thread/coroutine in Python
+        #  because abruptly stopping a thread can cause issues like resource leaks,
+        #  deadlocks, or inconsistent states.
+        #  Caller needs to handle the timeout outside current process.
+        logger.warning(
+            "Generate meta in current process and timeout won't take effect. "
+            "Please handle timeout manually outside current process."
+        )
+        _generate_meta_from_file(flow_directory, source_path, data, meta_dict, exception_list)
+    # directly raise error if failed to generate meta
+    if len(exception_list) > 0:
+        error_message = "Generate meta failed, detail error:\n" + str(exception_list)
+        raise GenerateFlowMetaJsonError(error_message)
+    return dict(meta_dict)
+
+
+def generate_flow_meta(
+    flow_directory: Union[str, Path],
+    source_path: str,
+    data: dict,
+    dump: bool = True,
+    timeout: int = FLOW_META_JSON_GEN_TIMEOUT,
+    load_in_subprocess: bool = True,
+) -> dict:
+    """Generate flow.json for a flow directory."""
+
+    flow_meta = _generate_flow_meta(
+        flow_directory=flow_directory,
+        source_path=source_path,
+        data=data,
+        timeout=timeout,
+        load_in_subprocess=load_in_subprocess,
+    )
+
+    if dump:
+        # dump as flow.tools.json
+        promptflow_folder = flow_directory / PROMPT_FLOW_DIR_NAME
+        promptflow_folder.mkdir(exist_ok=True)
+        with open(promptflow_folder / FLOW_META_JSON, mode="w", encoding=DEFAULT_ENCODING) as f:
+            json.dump(flow_meta, f, indent=4)
+
+    return flow_meta
+
+
+def init_executable(*, flow_dag: dict = None, flow_path: Path = None, working_dir: Path = None):
+    if flow_dag and flow_path:
+        raise ValueError("flow_dag and flow_path cannot be both provided.")
+    if not flow_dag and not flow_path:
+        raise ValueError("flow_dag or flow_path must be provided.")
+    if flow_dag and not working_dir:
+        raise ValueError("working_dir must be provided when flow_dag is provided.")
+
+    if flow_path:
+        flow_dir, flow_filename = resolve_flow_path(flow_path)
+        flow_dag = load_yaml(flow_dir / flow_filename)
+        if not working_dir:
+            working_dir = flow_dir
+
+    from promptflow.contracts.flow import EagerFlow as ExecutableEagerFlow
+    from promptflow.contracts.flow import Flow as ExecutableFlow
+
+    if is_flex_flow(yaml_dict=flow_dag):
+
+        entry = flow_dag.get("entry")
+        entry_file = resolve_entry_file(entry=entry, working_dir=working_dir)
+
+        meta_dict = generate_flow_meta(
+            flow_directory=working_dir,
+            source_path=entry_file,
+            data=flow_dag,
+            dump=False,
+        )
+        return ExecutableEagerFlow.deserialize(meta_dict)
+
+    # for DAG flow, use data to init executable to improve performance
+    return ExecutableFlow._from_dict(flow_dag=flow_dag, working_dir=working_dir)
+
+
+# !!! Attention!!!: Please make sure you have contact with PRS team before changing the interface.
+# They are using FlowExecutor.update_environment_variables_with_connections(connections)
+def update_environment_variables_with_connections(built_connections):
+    """The function will result env var value ${my_connection.key} to the real connection keys."""
+    return update_dict_value_with_connections(built_connections, os.environ)
+
+
+def override_connection_config_with_environment_variable(connections: Dict[str, dict]):
+    """
+    The function will use relevant environment variable to override connection configurations. For instance, if there
+    is a custom connection named 'custom_connection' with a configuration key called 'chat_deployment_name,' the
+    function will attempt to retrieve 'chat_deployment_name' from the environment variable
+    'CUSTOM_CONNECTION_CHAT_DEPLOYMENT_NAME' by default. If the environment variable is not set, it will use the
+    original value as a fallback.
+    """
+    for connection_name, connection in connections.items():
+        values = connection.get("value", {})
+        for key, val in values.items():
+            connection_name = connection_name.replace(" ", "_")
+            env_name = f"{connection_name}_{key}".upper()
+            if env_name not in os.environ:
+                continue
+            values[key] = os.environ[env_name]
+            logger.info(f"Connection {connection_name}'s {key} is overridden with environment variable {env_name}")
+    return connections
+
+
+def resolve_connections_environment_variable_reference(connections: Dict[str, dict]):
+    """The function will resolve connection secrets env var reference like api_key: ${env:KEY}"""
+    for connection in connections.values():
+        values = connection.get("value", {})
+        for key, val in values.items():
+            if not _match_env_reference(val):
+                continue
+            env_name = _match_env_reference(val)
+            if env_name not in os.environ:
+                raise UserErrorException(f"Environment variable {env_name} is not found.")
+            values[key] = os.environ[env_name]
+    return connections
+
+
+def _match_env_reference(val: str):
+    try:
+        val = val.strip()
+        m = re.match(r"^\$\{env:(.+)}$", val)
+        if not m:
+            return None
+        name = m.groups()[0]
+        return name
+    except Exception:
+        # for exceptions when val is not a string, return
+        return None
+
+
+def get_used_connection_names_from_environment_variables():
+    """The function will get all potential related connection names from current environment variables.
+    for example, if part of env var is
+    {
+      "ENV_VAR_1": "${my_connection.key}",
+      "ENV_VAR_2": "${my_connection.key2}",
+      "ENV_VAR_3": "${my_connection2.key}",
+    }
+    The function will return {"my_connection", "my_connection2"}.
+    """
+    return get_used_connection_names_from_dict(os.environ)
+
+
+def update_dict_value_with_connections(built_connections, connection_dict: dict):
+    for key, val in connection_dict.items():
+        connection_name, connection_key = _match_reference(val)
+        if connection_name is None:
+            continue
+        if connection_name not in built_connections:
+            continue
+        if connection_key not in built_connections[connection_name]["value"]:
+            continue
+        connection_dict[key] = built_connections[connection_name]["value"][connection_key]
+
+
+def get_used_connection_names_from_dict(connection_dict: dict):
+    connection_names = set()
+    for key, val in connection_dict.items():
+        connection_name, _ = _match_reference(val)
+        if connection_name:
+            connection_names.add(connection_name)
+
+    return connection_names
diff --git a/src/promptflow-core/promptflow/core/_version.py b/src/promptflow-core/promptflow/core/_version.py
new file mode 100644
index 00000000000..f8cedcc6bd9
--- /dev/null
+++ b/src/promptflow-core/promptflow/core/_version.py
@@ -0,0 +1,7 @@
+# ---------------------------------------------------------
+# Copyright (c) Microsoft Corporation. All rights reserved.
+# ---------------------------------------------------------
+
+import importlib.metadata
+
+__version__ = importlib.metadata.version("promptflow-core")
diff --git a/src/promptflow/promptflow/exceptions.py b/src/promptflow-core/promptflow/exceptions.py
similarity index 92%
rename from src/promptflow/promptflow/exceptions.py
rename to src/promptflow-core/promptflow/exceptions.py
index 33330a95d6f..cd473e48b67 100644
--- a/src/promptflow/promptflow/exceptions.py
+++ b/src/promptflow-core/promptflow/exceptions.py
@@ -6,9 +6,7 @@
 import traceback
 from enum import Enum
 from functools import cached_property
-from typing import Dict
-
-from azure.core.exceptions import HttpResponseError
+from typing import Dict, List
 
 
 class ErrorCategory(str, Enum):
@@ -22,6 +20,7 @@ class ErrorTarget(str, Enum):
 
     EXECUTOR = "Executor"
     BATCH = "Batch"
+    CORE = "Core"
     FLOW_EXECUTOR = "FlowExecutor"
     NODE_EXECUTOR = "NodeExecutor"
     TOOL = "Tool"
@@ -45,6 +44,11 @@ class PromptflowException(Exception):
     :type target: ~promptflow.exceptions.ErrorTarget
     :param error: The original exception if any.
     :type error: Exception
+    :param privacy_info: To record messages to telemetry, it is necessary to mask private information.
+                        If set to None, messages will not be recorded to telemetry.
+                        Otherwise, it will replace the content string in messages
+                        that contain privacy_info with '{privacy_info}'.
+    :type privacy_info: List[str]
     """
 
     def __init__(
@@ -53,12 +57,14 @@ def __init__(
         message_format="",
         target: ErrorTarget = ErrorTarget.UNKNOWN,
         module=None,
+        privacy_info: List[str] = None,
         **kwargs,
     ):
         self._inner_exception = kwargs.get("error")
         self._target = target
         self._module = module
         self._message_format = message_format
+        self._privacy_info = privacy_info
         self._kwargs = kwargs
         if message:
             self._message = str(message)
@@ -251,6 +257,10 @@ def get_error_info(cls, e: BaseException):
     def _is_system_error(cls, e: BaseException):
         if isinstance(e, SystemErrorException):
             return True
+        try:
+            from azure.core.exceptions import HttpResponseError
+        except ImportError:
+            return True
         if isinstance(e, HttpResponseError):
             status_code = str(e.status_code)
             # Except for 429, 400-499 are all client errors.
@@ -263,6 +273,8 @@ def _is_system_error(cls, e: BaseException):
     def _is_user_error(cls, e: BaseException):
         if isinstance(e, UserErrorException):
             return True
+        if isinstance(e, (KeyboardInterrupt,)):
+            return True
 
         return False
 
@@ -320,7 +332,15 @@ def _module_target_map(cls) -> Dict[str, ErrorTarget]:
 
     @classmethod
     def _error_message(cls, e: BaseException):
-        return getattr(e, "message_format", "")
+        privacy_info = e._privacy_info if isinstance(e, PromptflowException) else None
+        if privacy_info is None:
+            return getattr(e, "message_format", "")
+        message = e.message
+        for info in privacy_info:
+            info = str(info)
+            message = message.replace(info, "{privacy_info}")
+
+        return message
 
     @classmethod
     def _error_detail(cls, e: BaseException):
diff --git a/src/promptflow/promptflow/executor/__init__.py b/src/promptflow-core/promptflow/executor/__init__.py
similarity index 100%
rename from src/promptflow/promptflow/executor/__init__.py
rename to src/promptflow-core/promptflow/executor/__init__.py
diff --git a/src/promptflow-core/promptflow/executor/_assistant_tool_invoker.py b/src/promptflow-core/promptflow/executor/_assistant_tool_invoker.py
new file mode 100644
index 00000000000..6615c49dca4
--- /dev/null
+++ b/src/promptflow-core/promptflow/executor/_assistant_tool_invoker.py
@@ -0,0 +1,147 @@
+from dataclasses import dataclass
+from typing import Callable, Dict, Optional
+
+from promptflow.contracts.flow import ToolSource, ToolSourceType
+from promptflow.contracts.tool import ToolType
+from promptflow.exceptions import ErrorTarget
+from promptflow.executor._errors import InvalidAssistantTool
+
+
+@dataclass
+class AssistantTool:
+    """Assistant tool definition.
+
+    This is internal contract for tool resolving.
+    """
+
+    type: str  # Openai assistant tool type ['function', 'retrieval', 'code_interpreter']
+    tool_type: ToolType  # promptflow tool type
+    source: ToolSource  # Tool sourcing definition
+    predefined_inputs: Optional[Dict[str, str]] = None  # Predefined inputs for the tool, optional
+
+
+class AssistantToolResolver:
+    @classmethod
+    def from_dict(cls, data: dict, node_name: str = None) -> AssistantTool:
+
+        type = data.get("type", None)
+        if type not in ["code_interpreter", "function", "retrieval"]:
+            raise InvalidAssistantTool(
+                message_format=(
+                    "Unsupported assistant tool's type in node {node_name} : {type}. "
+                    "Please make sure the type is restricted within "
+                    "['code_interpreter', 'function', 'retrieval']."
+                ),
+                type=type,
+                target=ErrorTarget.EXECUTOR,
+            )
+
+        try:
+            tool_type = ToolType(data.get("tool_type"))
+        except ValueError:
+            raise InvalidAssistantTool(
+                message_format=(
+                    "The 'tool_type' property is missing or invalid in assistant node '{node_name}'. "
+                    "Please make sure the assistant definition is correct."
+                ),
+                node_name=node_name,
+                target=ErrorTarget.EXECUTOR,
+            )
+
+        if tool_type not in [ToolType.PYTHON]:
+            raise InvalidAssistantTool(
+                message_format=(
+                    "Tool type '{tool_type}' is not supported in assistant node '{node_name}'. "
+                    "Please make sure the assistant definition is correct."
+                ),
+                tool_type=tool_type.value,
+                node_name=node_name,
+                target=ErrorTarget.EXECUTOR,
+            )
+
+        if "source" not in data:
+            raise InvalidAssistantTool(
+                message_format=(
+                    "The 'source' property is missing in the assistant node '{node_name}'. "
+                    "Please make sure the assistant definition is correct."
+                ),
+                node_name=node_name,
+                target=ErrorTarget.EXECUTOR,
+            )
+
+        try:
+            tool_source = ToolSource.deserialize(data.get("source"))
+        except ValueError:
+            raise InvalidAssistantTool(
+                message_format=(
+                    "The 'source' definition is not valid in the assistant node '{node_name}'. "
+                    "Please make sure the assistant definition is correct and deserializable."
+                ),
+                node_name=node_name,
+                target=ErrorTarget.EXECUTOR,
+            )
+
+        if tool_source.type == ToolSourceType.Package:
+            if not tool_source.tool:
+                raise InvalidAssistantTool(
+                    message_format=(
+                        "The 'tool' property is missing in 'source' of the assistant package tool "
+                        "in node '{node_name}'. Please make sure the assistant definition is correct."
+                    ),
+                    node_name=node_name,
+                    target=ErrorTarget.EXECUTOR,
+                )
+        elif tool_source.type == ToolSourceType.Code:
+            if not tool_source.path:
+                raise InvalidAssistantTool(
+                    message_format=(
+                        "The 'path' property is missing in 'source' of the assistant python tool "
+                        "in node '{node_name}'. Please make sure the assistant definition is correct."
+                    ),
+                    node_name=node_name,
+                    target=ErrorTarget.EXECUTOR,
+                )
+
+        else:
+            raise InvalidAssistantTool(
+                message_format=(
+                    "Tool source type '{source_type}' is not supported in assistant node '{node_name}'. "
+                    "Please make sure the assistant definition is correct."
+                ),
+                node_name=node_name,
+                source_type=tool_source.type,
+                target=ErrorTarget.EXECUTOR,
+            )
+
+        return AssistantTool(
+            type=type,
+            tool_type=tool_type,
+            source=tool_source,
+            predefined_inputs=data.get("predefined_inputs", None),
+        )
+
+
+@dataclass
+class ResolvedAssistantTool:
+    """Resolved assistant tool structure.
+
+    The contract is used to stored resolved assistant tool, including
+    connection,
+    openai tool json definition,
+    callable function, etc
+    """
+
+    name: str
+    openai_definition: dict
+    func: Callable
+
+
+class AssistantToolInvoker:
+    def __init__(self, tools: Dict[str, ResolvedAssistantTool]):
+        self._assistant_tools = tools
+
+    def invoke_tool(self, func_name, kwargs):
+        return self._assistant_tools[func_name].func(**kwargs)
+
+    def to_openai_tools(self):
+        return [tool.openai_definition for tool in self._assistant_tools.values()]
diff --git a/src/promptflow/promptflow/executor/_async_nodes_scheduler.py b/src/promptflow-core/promptflow/executor/_async_nodes_scheduler.py
similarity index 93%
rename from src/promptflow/promptflow/executor/_async_nodes_scheduler.py
rename to src/promptflow-core/promptflow/executor/_async_nodes_scheduler.py
index 664016a698c..01b2e926f34 100644
--- a/src/promptflow/promptflow/executor/_async_nodes_scheduler.py
+++ b/src/promptflow-core/promptflow/executor/_async_nodes_scheduler.py
@@ -18,7 +18,7 @@
 from promptflow._core.tools_manager import ToolsManager
 from promptflow._utils.logger_utils import flow_logger
 from promptflow._utils.thread_utils import ThreadWithContextVars
-from promptflow._utils.utils import extract_user_frame_summaries, set_context
+from promptflow._utils.utils import extract_user_frame_summaries, set_context, try_get_long_running_logging_interval
 from promptflow.contracts.flow import Node
 from promptflow.executor._dag_manager import DAGManager
 from promptflow.executor._errors import NoNodeExecutedError
@@ -58,12 +58,15 @@ async def execute(
         # Semaphore should be created in the loop, otherwise it will not work.
         loop = asyncio.get_running_loop()
         self._semaphore = asyncio.Semaphore(self._node_concurrency)
-        monitor = ThreadWithContextVars(
-            target=monitor_long_running_coroutine,
-            args=(loop, self._task_start_time, self._task_last_log_time, self._dag_manager_completed_event),
-            daemon=True,
-        )
-        monitor.start()
+        if (interval := try_get_long_running_logging_interval(flow_logger, DEFAULT_TASK_LOGGING_INTERVAL)) is not None:
+            monitor = ThreadWithContextVars(
+                target=monitor_long_running_coroutine,
+                args=(
+                    interval, loop, self._task_start_time, self._task_last_log_time, self._dag_manager_completed_event
+                ),
+                daemon=True,
+            )
+            monitor.start()
 
         # Set the name of scheduler tasks to avoid monitoring its duration
         task = asyncio.current_task()
@@ -223,6 +226,7 @@ def log_stack_recursively(task: asyncio.Task, elapse_time: float):
 
 
 def monitor_long_running_coroutine(
+    logging_interval: int,
     loop: asyncio.AbstractEventLoop,
     task_start_time: dict,
     task_last_log_time: dict,
@@ -230,24 +234,6 @@ def monitor_long_running_coroutine(
 ):
     flow_logger.info("monitor_long_running_coroutine started")
 
-    logging_interval = DEFAULT_TASK_LOGGING_INTERVAL
-    logging_interval_in_env = os.environ.get("PF_TASK_PEEKING_INTERVAL")
-    if logging_interval_in_env:
-        try:
-            value = int(logging_interval_in_env)
-            if value <= 0:
-                raise ValueError
-            logging_interval = value
-            flow_logger.info(
-                f"Using value of PF_TASK_PEEKING_INTERVAL in environment variable as "
-                f"logging interval: {logging_interval_in_env}"
-            )
-        except ValueError:
-            flow_logger.warning(
-                f"Value of PF_TASK_PEEKING_INTERVAL in environment variable ('{logging_interval_in_env}') "
-                f"is invalid, use default value {DEFAULT_TASK_LOGGING_INTERVAL}"
-            )
-
     while not dag_manager_completed_event.is_set():
         running_tasks = [task for task in asyncio.all_tasks(loop) if not task.done()]
         # get duration of running tasks
diff --git a/src/promptflow/promptflow/executor/_dag_manager.py b/src/promptflow-core/promptflow/executor/_dag_manager.py
similarity index 100%
rename from src/promptflow/promptflow/executor/_dag_manager.py
rename to src/promptflow-core/promptflow/executor/_dag_manager.py
diff --git a/src/promptflow/promptflow/executor/_docstring_parser.py b/src/promptflow-core/promptflow/executor/_docstring_parser.py
similarity index 100%
rename from src/promptflow/promptflow/executor/_docstring_parser.py
rename to src/promptflow-core/promptflow/executor/_docstring_parser.py
diff --git a/src/promptflow/promptflow/executor/_errors.py b/src/promptflow-core/promptflow/executor/_errors.py
similarity index 89%
rename from src/promptflow/promptflow/executor/_errors.py
rename to src/promptflow-core/promptflow/executor/_errors.py
index 86fc44ed100..2606ecf560c 100644
--- a/src/promptflow/promptflow/executor/_errors.py
+++ b/src/promptflow-core/promptflow/executor/_errors.py
@@ -20,6 +20,12 @@ class InvalidCustomLLMTool(ValidationException):
     pass
 
 
+class InvalidAssistantTool(ValidationException):
+    """Exception raised when assistant tool definition is wrong."""
+
+    pass
+
+
 class ValueTypeUnresolved(ValidationException):
     pass
 
@@ -162,6 +168,17 @@ class SingleNodeValidationError(UserErrorException):
     pass
 
 
+class AggregationNodeExecutionTimeoutError(UserErrorException):
+    """Exception raised when aggregation node execution timeout"""
+
+    def __init__(self, timeout):
+        super().__init__(
+            message_format="Aggregation node execution timeout for exceeding {timeout} seconds",
+            timeout=timeout,
+            target=ErrorTarget.EXECUTOR,
+        )
+
+
 class LineExecutionTimeoutError(UserErrorException):
     """Exception raised when single line execution timeout"""
 
@@ -189,6 +206,12 @@ def __init__(self, line_number, timeout):
         )
 
 
+class ThreadCrashError(SystemErrorException):
+    """Exception raised when thread crashed."""
+
+    pass
+
+
 class ProcessCrashError(UserErrorException):
     """Exception raised when process crashed."""
 
@@ -281,10 +304,6 @@ def error_codes(self):
         return [infer_error_code_from_class(SystemErrorException), self.__class__.__name__]
 
 
-class UnsupportedAssistantToolType(ValidationException):
-    pass
-
-
 class FailedToParseAssistantTool(UserErrorException):
     """Exception raised when failed to parse assistant tool from docstring."""
 
@@ -293,3 +312,13 @@ def __init__(self, func_name):
             message_format="Failed to get assistant tool by parsing the docstring of function '{func_name}'.",
             func_name=func_name,
         )
+
+
+class FlowEntryInitializationError(UserErrorException):
+    """Exception raised when failed to initialize flow entry."""
+
+    def __init__(self, init_kwargs):
+        super().__init__(
+            message_format="Failed to initialize flow entry with '{init_kwargs}'.",
+            init_kwargs=init_kwargs,
+        )
diff --git a/src/promptflow/promptflow/executor/_flow_nodes_scheduler.py b/src/promptflow-core/promptflow/executor/_flow_nodes_scheduler.py
similarity index 100%
rename from src/promptflow/promptflow/executor/_flow_nodes_scheduler.py
rename to src/promptflow-core/promptflow/executor/_flow_nodes_scheduler.py
diff --git a/src/promptflow/promptflow/executor/_input_assignment_parser.py b/src/promptflow-core/promptflow/executor/_input_assignment_parser.py
similarity index 100%
rename from src/promptflow/promptflow/executor/_input_assignment_parser.py
rename to src/promptflow-core/promptflow/executor/_input_assignment_parser.py
diff --git a/src/promptflow-core/promptflow/executor/_line_execution_process_pool.py b/src/promptflow-core/promptflow/executor/_line_execution_process_pool.py
new file mode 100644
index 00000000000..14721c05c2b
--- /dev/null
+++ b/src/promptflow-core/promptflow/executor/_line_execution_process_pool.py
@@ -0,0 +1,841 @@
+# ---------------------------------------------------------
+# Copyright (c) Microsoft Corporation. All rights reserved.
+# ---------------------------------------------------------
+
+import asyncio
+import contextvars
+import multiprocessing
+import os
+import queue
+import shutil
+import signal
+import sys
+import threading
+from contextlib import nullcontext
+from datetime import datetime
+from functools import partial
+from logging import INFO
+from multiprocessing import Manager, Queue
+from multiprocessing.pool import ThreadPool
+from pathlib import Path
+from tempfile import mkdtemp
+from typing import Callable, Dict, List, Optional, Union
+
+import psutil
+
+from promptflow._constants import LINE_NUMBER_KEY, LINE_TIMEOUT_SEC
+from promptflow._core._errors import ProcessPoolError, UnexpectedError
+from promptflow._core.run_tracker import RunTracker
+from promptflow._utils.dataclass_serializer import convert_eager_flow_output_to_dict
+from promptflow._utils.exception_utils import ExceptionPresenter
+from promptflow._utils.logger_utils import bulk_logger
+from promptflow._utils.process_utils import (
+    get_available_max_worker_count,
+    get_manager_process_log_path,
+    get_subprocess_log_path,
+    log_errors_from_file,
+)
+from promptflow._utils.thread_utils import RepeatLogTimer
+from promptflow._utils.utils import log_progress, set_context
+from promptflow.contracts.run_info import FlowRunInfo
+from promptflow.contracts.run_info import RunInfo as NodeRunInfo
+from promptflow.contracts.run_info import Status
+from promptflow.exceptions import ErrorTarget, PromptflowException
+from promptflow.executor._errors import (
+    BatchExecutionTimeoutError,
+    LineExecutionTimeoutError,
+    ProcessCrashError,
+    ThreadCrashError,
+)
+from promptflow.executor._process_manager import (
+    ForkProcessManager,
+    ProcessControlSignal,
+    ProcessInfo,
+    ProcessPoolConstants,
+    SpawnProcessManager,
+)
+from promptflow.executor._result import LineResult
+from promptflow.executor._script_executor import ScriptExecutor
+from promptflow.executor.flow_executor import DEFAULT_CONCURRENCY_BULK, FlowExecutor
+from promptflow.storage._queue_run_storage import QueueRunStorage, ServiceQueueRunStorage
+from promptflow.tracing._operation_context import OperationContext
+
+
+class LineExecutionProcessPool:
+    """A process pool for executing lines in batch mode.
+
+    :param output_dir: The output directory for the batch run.
+    :param flow_executor: The flow executor used to provide flow_create_kwargs to execute the lines.
+    :param worker_count: The number of worker processes in the pool.
+    :param line_timeout_sec: The timeout for each line execution in seconds.
+    :param batch_timeout_sec: The timeout for the entire batch run in seconds.
+    :param run_id: The run id of the batch run.
+    :param nlines: The number of lines in the batch run.
+    :param serialize_multimedia_during_execution: Whether to serialize multimedia data during line execution.
+    """
+
+    _DEFAULT_WORKER_COUNT = 4
+    _THREAD_TERMINATED_TIMEOUT = 10
+    _PROCESS_TERMINATED_TIMEOUT = 60
+    _PROCESS_INFO_OBTAINED_TIMEOUT = 60
+
+    def __init__(
+        self,
+        output_dir: Path,
+        flow_executor: FlowExecutor,
+        worker_count: Optional[int] = None,
+        line_timeout_sec: Optional[int] = None,
+        batch_timeout_sec: Optional[int] = None,
+        run_id: Optional[str] = None,
+        nlines: Optional[int] = None,
+        serialize_multimedia_during_execution: bool = False,
+    ):
+        # Determine whether to use fork to create process.
+        multiprocessing_start_method = os.environ.get("PF_BATCH_METHOD", multiprocessing.get_start_method())
+        sys_start_methods = multiprocessing.get_all_start_methods()
+        if multiprocessing_start_method not in sys_start_methods:
+            bulk_logger.warning(
+                f"Failed to set start method to '{multiprocessing_start_method}', "
+                f"start method {multiprocessing_start_method} is not in: {sys_start_methods}."
+            )
+            bulk_logger.info(f"Set start method to default {multiprocessing.get_start_method()}.")
+            multiprocessing_start_method = multiprocessing.get_start_method()
+        self._use_fork = multiprocessing_start_method in ["fork", "forkserver"]
+
+        # Initialize some fields from the init parameters.
+        self._nlines = nlines
+        self._run_id = run_id
+        self._output_dir = output_dir
+        self._batch_timeout_sec = batch_timeout_sec
+        self._line_timeout_sec = line_timeout_sec or LINE_TIMEOUT_SEC
+        self._worker_count = self._determine_worker_count(worker_count)
+
+        # - If it is False, we will use QueueRunStorage as the storage during execution.
+        # It will only put the original run info into the output queue to wait for processing.
+        # - If it is True, we will use ServiceQueueRunStorage as the storage during execution.
+        # It will persist multimedia data in the run infos and aggregation_inputs to output_dir
+        # and convert Image object to path dict.
+        self._serialize_multimedia_during_execution = serialize_multimedia_during_execution
+
+        # Initialize the results dictionary that stores line results.
+        self._result_dict: Dict[int, LineResult] = {}
+
+        # Initialize some fields from flow_executor and construct flow_create_kwargs
+        self._flow_id = flow_executor._flow_id
+        self._log_interval = flow_executor._log_interval
+        if isinstance(flow_executor, ScriptExecutor):
+            self._storage = flow_executor._storage
+        else:
+            self._storage = flow_executor._run_tracker._storage
+        self._flow_create_kwargs = {
+            "flow_file": flow_executor._flow_file,
+            "connections": flow_executor._connections,
+            "working_dir": flow_executor._working_dir,
+            "line_timeout_sec": self._line_timeout_sec,
+            "raise_ex": False,
+            # only script executor has init
+            "init_kwargs": getattr(flow_executor, "_init_kwargs", None),
+        }
+        # Will set to True if the batch run is timeouted.
+        self._is_timeout = False
+        self._multimedia_processor = flow_executor._multimedia_processor
+
+    def __enter__(self):
+        self.start()
+        return self
+
+    def __exit__(self, exc_type, exc_val, exc_tb):
+        self.close()
+
+    @property
+    def is_timeout(self):
+        return self._is_timeout
+
+    def start(self):
+        """Start the process pool and create a thread pool monitoring process status"""
+        manager = Manager()
+        self._processing_idx = manager.dict()
+        self._completed_idx = manager.dict()
+
+        self._task_queue = Queue()
+        self._n_process = self._worker_count
+
+        # When using fork, we first spawn a sub process, the SemLock created in fork context (multiprocessing.Queue()）
+        # can't used in a spawn context. Since spawn does not share memory, synchronization primitives created by
+        # fork cannot be used directly. It will cause an error: "A SemLock created in a fork context is being
+        # shared with a process in a spawn context. This is not supported".
+
+        # So use multiprocessing.Manager().Queue() instead of multiprocessing.Queue().
+        # Manager().Queue() operates through a manager server process, which passes messages between different
+        # processes without directly sharing memory state, which makes it safe to use in a spawn context.
+        self._input_queues = [manager.Queue() for _ in range(self._n_process)]
+        self._output_queues = [manager.Queue() for _ in range(self._n_process)]
+        self._control_signal_queue = manager.Queue()
+        process_info: Dict[int, ProcessInfo] = manager.dict()
+
+        # when using fork, we first create a process with spawn method to establish a clean environment
+        # Then fork the subprocess in this environment to avoid some deadlock problems
+        common_kwargs = {
+            "input_queues": self._input_queues,
+            "output_queues": self._output_queues,
+            "process_info": process_info,
+            "process_target_func": _process_wrapper,
+            "output_dir": self._output_dir,
+            "serialize_multimedia": self._serialize_multimedia_during_execution,
+        }
+        if self._use_fork:
+            # 1. Create input_queue, output_queue, control_signal_queue and _process_info in the main process.
+            # 2. Pass the above queue/dict as parameters to spawn and fork processes to transfer information
+            # between processes.
+            self._processes_manager = ForkProcessManager(
+                self._control_signal_queue,
+                self._flow_create_kwargs,
+                **common_kwargs,
+            )
+        else:
+            executor_creation_func = partial(FlowExecutor.create, **self._flow_create_kwargs)
+            # 1. Create input_queue, output_queue, and _process_info in the main process.
+            # 2. Spawn _n_process sub-process and pass the above queue/dict to these sub-process to transfer information
+            # between main process and sub process.
+            self._processes_manager = SpawnProcessManager(executor_creation_func, **common_kwargs)
+
+        self._processes_manager.start_processes()
+        self._processes_manager.ensure_healthy()
+
+        # Start a thread pool to monitor the processes.
+        self._monitor_pool = ThreadPool(
+            self._n_process, initializer=set_context, initargs=(contextvars.copy_context(),)
+        )
+        # The variable '_async_tasks' here is a list of AsyncResult object
+        # that can be used to check if the execution are finished.
+        # The actual line results of the batch run are stored in 'result_dict'.
+
+        # Create _n_process monitoring threads, mainly used to assign tasks and receive line result.
+        # When receiving terminate signal, end the process.
+        # When line execution timeout or process crash, restart the process.
+        self._async_tasks = [
+            self._monitor_pool.apply_async(
+                func=self._monitor_workers_and_process_tasks_in_thread,
+                args=(
+                    self._task_queue,  # Shared task queue for all sub processes to read the input data.
+                    self._result_dict,  # Line result dict of the batch run.
+                    i,  # Index of the sub process.
+                    self._input_queues[i],  # Specific input queue for sub process, used to send input data to it.
+                    self._output_queues[i],  # Specific output queue for sub process, used to receive results from it.
+                ),
+            )
+            for i in range(self._n_process)
+        ]
+
+    def close(self):
+        """End the process pool and close the thread pool."""
+        # Terminate the task of monitor threads.
+        self._terminate_tasks()
+        # Close the thread pool and wait for all threads to complete.
+        if self._monitor_pool is not None:
+            self._monitor_pool.close()
+            self._monitor_pool.join()
+        # If a thread crashed for some reason, the processes it monitors might not be able to exit because
+        # they do not receive a terminate signal. So we need to terminate these unmonitored processes.
+        self._processes_manager.ensure_all_processes_terminated()
+        # In fork mode, send the 'spawned_manager_end' signal to exit the spawned process manager.
+        if self._use_fork:
+            self._control_signal_queue.put((ProcessControlSignal.SPAWNED_MANAGER_END, self._use_fork))
+        # Clear the result dict.
+        self._result_dict.clear()
+        # Delete log files to prevent interference from the current run on the next execution.
+        self._delete_log_files()
+
+    async def submit(self, run_id: str, line_number: int, inputs: dict):
+        """Submit a line execution request to the process pool and return the line result."""
+        self._task_queue.put((run_id, line_number, inputs))
+        start_time = datetime.utcnow()
+        line_result = None
+        while not self._line_timeout_expired(start_time, buffer_sec=20) and not line_result:
+            line_result = self._result_dict.get(line_number, None)
+            # Check monitor status every 1 second
+            self._monitor_thread_pool_status()
+            await asyncio.sleep(1)
+        return line_result
+
+    async def run(self, batch_inputs) -> List[LineResult]:
+        """Submit all batch inputs to the process pool and return the line results."""
+        with RepeatLogTimer(
+            interval_seconds=self._log_interval,
+            logger=bulk_logger,
+            level=INFO,
+            log_message_function=self._generate_thread_status_messages,
+            args=(
+                self._monitor_pool,
+                self._nlines,
+            ),
+        ):
+            try:
+                self._batch_start_time = datetime.utcnow()
+                # After starting time, put the input in self._task_queue, because the monitor thread will
+                # use self._batch_start_time to calculate the remain execution time after get the input data.
+                for index, inputs in batch_inputs:
+                    self._task_queue.put(
+                        (
+                            self._run_id,
+                            index,
+                            inputs,
+                        )
+                    )
+                # Wait for batch run to complete or timeout
+                last_log_count = 0
+                while not self._batch_timeout_expired(self._batch_start_time):
+                    # Print the progress logs of the batch run.
+                    last_log_count = log_progress(
+                        run_start_time=self._batch_start_time,
+                        total_count=self._nlines,
+                        current_count=len(self._result_dict),
+                        last_log_count=last_log_count,
+                    )
+                    # If the batch run is completed, break the loop.
+                    if self._is_batch_run_completed():
+                        break
+                    # Check monitor status every 1 second
+                    self._monitor_thread_pool_status()
+                    await asyncio.sleep(1)
+            except PromptflowException:
+                raise
+            except Exception as e:
+                bulk_logger.error(f"ProcessPool failed with exception: {e}")
+                raise ProcessPoolError(
+                    message_format=f"ProcessPool failed with exception: {e}",
+                    target=ErrorTarget.EXECUTOR,
+                ) from e
+
+        if self._batch_timeout_expired(self._batch_start_time):
+            # Send terminate signal to all threads and wait for them to exit.
+            self._terminate_tasks()
+            # Wait for up to 10s for thread termination, aiming to ensure that
+            # the line results in the result dict are as complete as possible.
+            start_time = datetime.utcnow()
+            while not self._timeout_expired(start_time, self._THREAD_TERMINATED_TIMEOUT):
+                if self._all_tasks_ready():
+                    break
+                await asyncio.sleep(1)
+            # Set the timeout flag to True and log the warning.
+            self._is_timeout = True
+            bulk_logger.warning(f"The batch run timed out, with {len(self._result_dict)} line results processed.")
+        return [self._result_dict[key] for key in sorted(self._result_dict)]
+
+    # region monitor thread target function
+
+    def _monitor_workers_and_process_tasks_in_thread(
+        self,
+        task_queue: Queue,
+        result_dict: Dict[int, LineResult],
+        index: int,
+        input_queue: Queue,
+        output_queue: Queue,
+    ):
+        # Get the process info of the thread monitoring from the manager.
+        index, process_id, process_name = self._processes_manager.get_process_info(index)
+
+        # The main loop of the thread, responsible for getting tasks from the task queue and
+        # processing them through the input queue, while also monitoring for terminate signals.
+        # Currently, it exits this loop only upon receiving a terminate signal or the batch run timeout.
+        terminated = False
+        while not terminated:
+            self._processes_manager.ensure_healthy()
+            # Get task from task_queue
+            data = self._get_task_from_queue(task_queue)
+            # Calculate the line timeout for the current line.
+            # If the line_timeout_sec is None, it means the batch run is timeouted.
+            line_timeout_sec = self._calculate_line_timeout_sec()
+            # If the task is a terminate signal or the batch run is timeouted, exit the loop.
+            if data == ProcessPoolConstants.TERMINATE_SIGNAL or line_timeout_sec is None:
+                bulk_logger.info(f"The thread monitoring the process [{process_id}-{process_name}] will be terminated.")
+                # Put the terminate signal into the input queue to notify the sub process to exit.
+                input_queue.put(ProcessPoolConstants.TERMINATE_SIGNAL)
+                # End the process if found the terminate signal.
+                self._processes_manager.end_process(index)
+                # In fork mode, the main process and the sub spawn process communicate through _process_info.
+                # We need to ensure the process has been killed before returning. Otherwise, it may cause
+                # the main process have exited but the spawn process is still alive.
+                # At this time, a connection error will be reported.
+                self._processes_manager.ensure_process_terminated_within_timeout(process_id)
+                # Set terminated to True to exit the main loop.
+                terminated = True
+            else:
+                # If the task is a line execution request, put the request into the input queue.
+                run_id, line_number, inputs = data
+                args = (run_id, line_number, inputs, line_timeout_sec)
+                input_queue.put(args)
+
+            if terminated:
+                break
+
+            start_time = datetime.utcnow()
+            completed = False
+            crashed = False
+            returned_node_run_infos = {}
+
+            self._processing_idx[line_number] = format_current_process_info(process_name, process_id, line_number)
+            log_process_status(process_name, process_id, line_number)
+            # Responsible for checking the output queue messages and processing them within a specified timeout period.
+            while not self._line_timeout_expired(start_time, line_timeout_sec=line_timeout_sec):
+                # Monitor process aliveness.
+                crashed = not self._processes_manager.is_process_alive(process_id)
+                if crashed:
+                    break
+
+                # Handle output queue message.
+                message = self._handle_output_queue_messages(output_queue)
+                if isinstance(message, LineResult):
+                    result_dict[line_number] = message
+                    completed = True
+                    break
+                if isinstance(message, NodeRunInfo):
+                    returned_node_run_infos[message.node] = message
+
+            # Handle line execution completed.
+            if completed:
+                self._completed_idx[line_number] = format_current_process_info(process_name, process_id, line_number)
+                log_process_status(process_name, process_id, line_number, is_completed=True)
+            # Handle line execution is not completed.
+            else:
+                ex = None
+                # Handle process crashed.
+                if crashed:
+                    bulk_logger.warning(f"Process crashed while executing line {line_number}.")
+                    log_path = get_subprocess_log_path(index)
+                    # In fork mode, if the child process fails to start, its error information
+                    # will be written to the parent process log file.
+                    # So if 'log_errors_form_path' return 'false', it means the child process fails to start.
+                    # Attempt read the parent process log file.
+                    if not log_errors_from_file(log_path) and self._use_fork:
+                        log_path = get_manager_process_log_path()
+                        log_errors_from_file(log_path)
+                    ex = ProcessCrashError(line_number)
+                elif self._line_timeout_expired(start_time, line_timeout_sec=line_timeout_sec):
+                    # Handle line execution timeout.
+                    bulk_logger.warning(f"Line {line_number} timeout after {line_timeout_sec} seconds.")
+                    if line_timeout_sec < self._line_timeout_sec:
+                        # If execution times out with a timeout lower than the default (self._line_timeout_sec),
+                        # it indicates the _batch_timeout_sec has been reached.
+                        # We should use the exception of BatchExecutionTimeoutError.
+                        ex = BatchExecutionTimeoutError(line_number, self._batch_timeout_sec)
+                    else:
+                        ex = LineExecutionTimeoutError(line_number, line_timeout_sec)
+                else:
+                    # This branch should not be reached, add this warning for the case.
+                    msg = f"Unexpected error occurred while monitoring line execution at line {line_number}."
+                    bulk_logger.warning(msg)
+                    ex = UnexpectedError(msg)
+
+                result = self._generate_line_result_for_exception(
+                    inputs,
+                    run_id,
+                    line_number,
+                    self._flow_id,
+                    start_time,
+                    ex,
+                    returned_node_run_infos,
+                )
+                result_dict[line_number] = result
+
+                self._completed_idx[line_number] = format_current_process_info(process_name, process_id, line_number)
+                log_process_status(process_name, process_id, line_number, is_failed=True)
+
+                self._processes_manager.restart_process(index)
+                # We need to ensure the process has been killed before continuing to execute.
+                # Otherwise the process will receive new task, and during the execution, the process
+                # is killed, which will result in the 'ProcessCrashError'.
+                self._processes_manager.ensure_process_terminated_within_timeout(process_id)
+                index, process_id, process_name = self._processes_manager.get_process_info(index)
+
+            self._processing_idx.pop(line_number)
+
+    # endregion
+
+    # region private methods
+    def _delete_log_files(self):
+        try:
+            shutil.rmtree(ProcessPoolConstants.PROCESS_LOG_PATH)
+        except Exception as e:
+            bulk_logger.warning(f"Failed to delete the folder, exception: {e}")
+
+    def _get_task_from_queue(self, task_queue: Queue):
+        """Get task from the task queue. Ignore the queue being empty and only exit the loop when getting data."""
+        while True:
+            try:
+                return task_queue.get(timeout=1)
+            except queue.Empty:
+                pass
+
+    def _all_tasks_ready(self):
+        return all(async_task.ready() for async_task in self._async_tasks)
+
+    def _terminate_tasks(self):
+        if self._all_tasks_ready():
+            return
+        # Put n (equal to processes number) terminate signals to the task queue to ensure each thread receives one.
+        for _ in range(self._n_process):
+            self._task_queue.put(ProcessPoolConstants.TERMINATE_SIGNAL)
+
+    def _determine_worker_count(self, worker_count):
+        # Starting a new process in non-fork mode requires to allocate memory.
+        # Calculate the maximum number of processes based on available memory to avoid memory bursting.
+        estimated_available_worker_count = get_available_max_worker_count() if not self._use_fork else None
+
+        # If the environment variable PF_WORKER_COUNT exists and valid, use the value as the worker_count.
+        if worker_count is not None and worker_count > 0:
+            bulk_logger.info(f"Set process count to {worker_count}.")
+            if estimated_available_worker_count is not None and estimated_available_worker_count < worker_count:
+                bulk_logger.warning(
+                    f"The current process count ({worker_count}) is larger than recommended process count "
+                    f"({estimated_available_worker_count}) that estimated by system available memory. This may "
+                    f"cause memory exhaustion"
+                )
+            return worker_count
+
+        # If the environment variable PF_WORKER_COUNT is not set or invalid, take the minimum value among the
+        # factors: default_worker_count, row_count and estimated_worker_count_based_on_memory_usage
+        factors = {
+            "default_worker_count": self._DEFAULT_WORKER_COUNT,
+            "row_count": self._nlines,
+            "estimated_worker_count_based_on_memory_usage": estimated_available_worker_count,
+        }
+
+        valid_factors = {k: v for k, v in factors.items() if v is not None and v > 0}
+
+        # Take the minimum value as the result
+        worker_count = min(valid_factors.values())
+        bulk_logger.info(
+            f"Set process count to {worker_count} by taking the minimum value among the factors of {valid_factors}."
+        )
+        return worker_count
+
+    def _calculate_line_timeout_sec(self):
+        """Calculate the line timeout for the current line."""
+        line_timeout_sec = self._line_timeout_sec
+        if self._batch_timeout_sec:
+            remaining_execution_time = int(
+                round(self._batch_timeout_sec - (datetime.utcnow() - self._batch_start_time).total_seconds())
+            )
+            if remaining_execution_time <= 0:
+                self._is_timeout = True
+                return None
+            line_timeout_sec = min(line_timeout_sec, remaining_execution_time)
+        return line_timeout_sec
+
+    def _monitor_thread_pool_status(self):
+        try:
+            for async_task in self._async_tasks:
+                if not async_task.ready():
+                    continue
+                # To ensure exceptions in thread-pool calls are propagated to the main process for proper handling
+                # The exceptions raised will be re-raised by the get() method.
+                # Related link:
+                # https://docs.python.org/3/library/multiprocessing.html#multiprocessing.pool.AsyncResult
+                async_task.get()
+        except PromptflowException:
+            raise
+        except Exception as e:
+            raise ThreadCrashError(
+                target=ErrorTarget.BATCH,
+                message_format="The monitor thread in the process pool crashed. Error: {error_type_and_message}.",
+                error_type_and_message=f"({e.__class__.__name__}) {e}",
+            ) from e
+
+    def _generate_thread_status_messages(self, pool: ThreadPool, total_count: int):
+        msgs = []
+        active_threads = sum(thread.is_alive() for thread in pool._pool)
+        msgs.append(f"[Process Pool] [Active processes: {active_threads} / {len(pool._pool)}]")
+        processing_lines_copy = self._processing_idx.copy()
+        completed_lines_copy = self._completed_idx.copy()
+        msgs.append(
+            f"[Lines] [Finished: {len(completed_lines_copy)}] [Processing: {len(processing_lines_copy)}] "
+            f"[Pending: {total_count - len(processing_lines_copy) - len(completed_lines_copy)}]"
+        )
+        lines = []
+        for idx, thread_name in sorted(processing_lines_copy.items()):
+            lines.append(f"line {idx} ({thread_name})")
+        if len(lines) > 0:
+            msgs.append("Processing Lines: " + ", ".join(lines) + ".")
+        return msgs
+
+    def _is_batch_run_completed(self):
+        return len(self._result_dict) == self._nlines
+
+    def _batch_timeout_expired(self, start_time: datetime) -> bool:
+        if self._batch_timeout_sec is None:
+            return False
+        return self._timeout_expired(start_time, self._batch_timeout_sec + 10)
+
+    def _line_timeout_expired(self, start_time: datetime, line_timeout_sec: int = None, buffer_sec: int = 10) -> bool:
+        # Here we add more seconds (buffer_sec) because of the following reasons:
+        # 1. At the last second, there would be several timeout message from exec_line.
+        # 2. It may take time to create worker so actual timeout time may be longer.
+        # 3. When using submit function to submit one line, the buffer_sec should be
+        #    larger than the monitor thread's internal buffer time.
+        line_timeout_sec = line_timeout_sec or self._line_timeout_sec
+        return self._timeout_expired(start_time, line_timeout_sec + buffer_sec)
+
+    def _timeout_expired(self, start_time: datetime, timeout_sec: int) -> bool:
+        return (datetime.utcnow() - start_time).total_seconds() > timeout_sec
+
+    def _handle_output_queue_messages(self, output_queue: Queue):
+        try:
+            message = output_queue.get(timeout=1)
+            if isinstance(message, LineResult):
+                message = self._process_multimedia(message)
+                return message
+            elif isinstance(message, FlowRunInfo):
+                self._storage.persist_flow_run(message)
+                return message
+            elif isinstance(message, NodeRunInfo):
+                self._storage.persist_node_run(message)
+                return message
+        except queue.Empty:
+            pass
+        return None
+
+    def _process_multimedia(self, result: LineResult) -> LineResult:
+        """Replace multimedia data in line result with string place holder to
+        prevent OOM and persist multimedia data in output when batch running."""
+        if not self._output_dir:
+            return result
+        # Serialize multimedia data in flow run info to string
+        self._serialize_multimedia(result.run_info)
+        # Serialize multimedia data in node run infos to string
+        for node_run_info in result.node_run_infos.values():
+            self._serialize_multimedia(node_run_info)
+        # Persist multimedia data in the aggregation_inputs of line result to output_dir
+        # if _serialize_multimedia_during_execution is True.
+        if self._serialize_multimedia_during_execution:
+            result.aggregation_inputs = self._multimedia_processor.persist_multimedia_data(
+                result.aggregation_inputs, Path(mkdtemp()), use_absolute_path=True
+            )
+        # Persist multimedia data in the outputs of line result to output_dir
+        result.output = self._multimedia_processor.persist_multimedia_data(result.output, self._output_dir)
+        return result
+
+    def _serialize_multimedia(self, run_info: Union[FlowRunInfo, NodeRunInfo]):
+        if run_info.inputs:
+            run_info.inputs = self._multimedia_processor.convert_multimedia_data_to_string(run_info.inputs)
+
+        if run_info.output:
+            serialized_output = self._multimedia_processor.convert_multimedia_data_to_string(run_info.output)
+            run_info.output = serialized_output
+            run_info.result = None
+
+        # The `inplace=True` parameter is used here to ensure that the original list structure holding generator outputs
+        # is maintained. This allows us to keep tracking the list as it dynamically changes when the generator is
+        # consumed. It is crucial to process the api_calls list in place to avoid losing the reference to the list that
+        # holds the generator items, which is essential for tracing generator execution.
+        if run_info.api_calls:
+            run_info.api_calls = self._multimedia_processor.convert_multimedia_data_to_string(
+                run_info.api_calls, inplace=True
+            )
+
+    def _generate_line_result_for_exception(
+        self,
+        inputs,
+        run_id,
+        line_number,
+        flow_id,
+        start_time,
+        ex,
+        node_run_infos={},
+    ) -> LineResult:
+        bulk_logger.error(f"Line {line_number}, Process {os.getpid()} failed with exception: {ex}")
+        run_info = FlowRunInfo(
+            run_id=f"{run_id}_{line_number}",
+            status=Status.Failed,
+            error=ExceptionPresenter.create(ex).to_dict(include_debug_info=True),
+            inputs=inputs,
+            output=None,
+            metrics=None,
+            request=None,
+            parent_run_id=run_id,
+            root_run_id=run_id,
+            source_run_id=None,
+            flow_id=flow_id,
+            start_time=start_time,
+            end_time=datetime.utcnow(),
+            index=line_number,
+        )
+        result = LineResult(
+            output={},
+            aggregation_inputs={},
+            run_info=run_info,
+            node_run_infos=node_run_infos,
+        )
+        # TODO: There is a corner case that the run info is persisted in the subprocess when timeouted,
+        # while we also persist the run info here. This may cause duplicate run info in the storage.
+        # We need to find a way to avoid this.
+        self._storage.persist_flow_run(result.run_info)
+        return result
+
+    # endregion
+
+
+# region process target functions
+
+
+def _process_wrapper(
+    executor_creation_func,
+    output_dir: Path,
+    serialize_multimedia: bool,
+    input_queue: Queue,
+    output_queue: Queue,
+    log_context_initialization_func,
+    operation_contexts_dict: dict,
+    i: int,
+):
+    ProcessPoolConstants.PROCESS_LOG_PATH.mkdir(parents=True, exist_ok=True)
+    log_path = get_subprocess_log_path(i)
+    sys.stderr = open(log_path, "w")
+
+    if threading.current_thread() is threading.main_thread():
+        signal.signal(signal.SIGINT, signal_handler)
+    else:
+        bulk_logger.info("Current thread is not main thread, skip signal handler registration in batch process pool.")
+    OperationContext.get_instance().update(operation_contexts_dict)  # Update the operation context for the new process.
+
+    _exec_line_for_queue(
+        executor_creation_func,
+        output_dir,
+        serialize_multimedia,
+        input_queue,
+        output_queue,
+        log_context_initialization_func,
+    )
+
+
+def signal_handler(signum, frame):
+    signame = signal.Signals(signum).name
+    bulk_logger.info("Execution stopping. Handling signal %s (%s)", signame, signum)
+    try:
+        process = psutil.Process(os.getpid())
+        bulk_logger.info("Successfully terminated process with pid %s", process.pid)
+        process.terminate()
+    except Exception:
+        bulk_logger.warning("Error when handling execution stop signal", exc_info=True)
+    finally:
+        sys.exit(1)
+
+
+def _exec_line_for_queue(
+    executor_creation_func,
+    output_dir: Path,
+    serialize_multimedia: bool,
+    input_queue: Queue,
+    output_queue: Queue,
+    log_context_initialization_func: Optional[Callable] = None,
+):
+    run_storage = (
+        ServiceQueueRunStorage(output_queue, output_dir) if serialize_multimedia else QueueRunStorage(output_queue)
+    )
+    executor: FlowExecutor = executor_creation_func(storage=run_storage)
+
+    while True:
+        try:
+            data = input_queue.get(timeout=1)
+            if data == ProcessPoolConstants.TERMINATE_SIGNAL:
+                # Set logger context for terminate signal without line_number.
+                with log_context_initialization_func() if log_context_initialization_func else nullcontext():
+                    bulk_logger.info(f"The process [{os.getpid()}] has received a terminate signal.")
+                    # Add try catch in case of shutdown method is not implemented in the tracer provider.
+                    try:
+                        import opentelemetry.trace as otel_trace
+
+                        # Meet span missing issue when end process normally (even add wait() when end it).
+                        # Shutdown the tracer provider to flush the remaining spans.
+                        # The tracer provider is created for each process, so it's ok to shutdown it here.
+                        otel_trace.get_tracer_provider().shutdown()
+                    except Exception as e:
+                        bulk_logger.warning(f"Error occurred while shutting down tracer provider: {e}")
+
+                    # If found the terminate signal, exit the process.
+                    break
+            run_id, line_number, inputs, line_timeout_sec = data
+            # Set logger context for each line execution. Because we also need to record line logs in batch run.
+            with log_context_initialization_func(
+                line_number=line_number
+            ) if log_context_initialization_func else nullcontext():
+                result = _exec_line(
+                    executor=executor,
+                    output_queue=output_queue,
+                    inputs=inputs,
+                    run_id=run_id,
+                    index=line_number,
+                    line_timeout_sec=line_timeout_sec,
+                )
+                output_queue.put(result)
+        except queue.Empty:
+            # Do nothing until the input_queue have content or process is killed
+            # TODO: Exit the process more gracefully.
+            pass
+
+
+def _exec_line(
+    executor: FlowExecutor, output_queue: Queue, *, inputs: dict, run_id: str, index: int, line_timeout_sec: int
+):
+    try:
+        line_result = executor.exec_line(
+            inputs=inputs,
+            run_id=run_id,
+            index=index,
+            node_concurrency=DEFAULT_CONCURRENCY_BULK,
+            line_timeout_sec=line_timeout_sec,
+        )
+        if line_result is not None:
+            # For eager flow, the output may be a dataclass which is not picklable, we need to convert it to dict.
+            if not isinstance(line_result.output, dict):
+                line_result.output = convert_eager_flow_output_to_dict(line_result.output)
+            line_result.output.pop(LINE_NUMBER_KEY, None)
+        # TODO: Put serialized line result into queue to catch serialization error beforehand.
+        # Otherwise it might cause the process to hang, e.g, line failed because output is not seralizable.
+        if line_result is not None and line_result.run_info.status == Status.Failed:
+            line_result.output = {}
+        return line_result
+    except Exception as e:
+        bulk_logger.error(f"Line {index}, Process {os.getpid()} failed with exception: {e}")
+        flow_id = executor._flow_id
+        line_run_id = run_id if index is None else f"{run_id}_{index}"
+        message_format = executor._message_format
+        # If line execution failed before start, there is no flow information in the run_tracker.
+        # So we call start_flow_run before handling exception to make sure the run_tracker has flow info.
+        if isinstance(executor, ScriptExecutor):
+            run_tracker = RunTracker(executor._storage)
+        else:
+            run_tracker = executor._run_tracker
+        run_tracker.start_flow_run(flow_id, run_id, line_run_id, run_id, index=index, message_format=message_format)
+        run_info = run_tracker.end_run(f"{run_id}_{index}", ex=e)
+        output_queue.put(run_info)
+        result = LineResult(
+            output={},
+            aggregation_inputs={},
+            run_info=run_info,
+            node_run_infos={},
+        )
+        return result
+
+
+# endregion
+
+
+# region utils function
+
+
+def log_process_status(process_name, pid, line_number: int, is_completed=False, is_failed=False):
+    process_info = format_current_process_info(process_name, pid, line_number)
+    if is_completed:
+        bulk_logger.info(f"{process_info} completed.")
+    elif is_failed:
+        bulk_logger.info(f"{process_info} failed.")
+    else:
+        bulk_logger.info(f"{process_info} start execution.")
+
+
+def format_current_process_info(process_name, pid, line_number: int):
+    return f"Process name({process_name})-Process id({pid})-Line number({line_number})"
+
+
+# endregion
diff --git a/src/promptflow/promptflow/executor/_process_manager.py b/src/promptflow-core/promptflow/executor/_process_manager.py
similarity index 72%
rename from src/promptflow/promptflow/executor/_process_manager.py
rename to src/promptflow-core/promptflow/executor/_process_manager.py
index 1e8d31d3cad..ef2c1e550f3 100644
--- a/src/promptflow/promptflow/executor/_process_manager.py
+++ b/src/promptflow-core/promptflow/executor/_process_manager.py
@@ -1,18 +1,29 @@
 import multiprocessing
 import queue
 import signal
+import sys
+import time
 from dataclasses import dataclass
 from enum import Enum
 from functools import partial
-from multiprocessing import Queue
-from typing import List
+from multiprocessing import Process, Queue
+from pathlib import Path
+from typing import Dict, List
 
 import psutil
 
-from promptflow._core.operation_context import OperationContext
+from promptflow._core.run_tracker import RunTracker
 from promptflow._utils.logger_utils import LogContext, bulk_logger
-from promptflow.executor._errors import SpawnedForkProcessManagerStartFailure
+from promptflow._utils.process_utils import get_manager_process_log_path, get_subprocess_log_path, log_errors_from_file
+from promptflow.executor._errors import (
+    ProcessInfoObtainedTimeout,
+    ProcessTerminatedTimeout,
+    SpawnedForkProcessManagerStartFailure,
+)
+from promptflow.executor._script_executor import ScriptExecutor
 from promptflow.executor.flow_executor import FlowExecutor
+from promptflow.storage import AbstractRunStorage
+from promptflow.tracing._operation_context import OperationContext
 
 
 @dataclass
@@ -22,10 +33,18 @@ class ProcessInfo:
     process_name: str
 
 
+class ProcessPoolConstants:
+    PROCESS_LOG_PATH = Path("process_log")
+    PROCESS_LOG_NAME = "process_stderr"
+    MANAGER_PROCESS_LOG_NAME = "manager_process_stderr.log"
+    TERMINATE_SIGNAL = "terminate"
+
+
 class ProcessControlSignal(str, Enum):
     START = "start"
     RESTART = "restart"
     END = "end"
+    SPAWNED_MANAGER_END = "spawned_manager_end"
 
 
 class AbstractProcessManager:
@@ -47,22 +66,29 @@ class AbstractProcessManager:
     :type raise_ex: bool
     """
 
+    _PROCESS_TERMINATED_TIMEOUT = 60
+    _PROCESS_INFO_OBTAINED_TIMEOUT = 60
+
     def __init__(
         self,
         input_queues: List[Queue],
         output_queues: List[Queue],
         process_info: dict,
         process_target_func,
+        output_dir: Path = None,
+        serialize_multimedia: bool = False,
         *args,
         **kwargs,
     ) -> None:
         self._input_queues = input_queues
         self._output_queues = output_queues
-        self._process_info = process_info
+        self._process_info: Dict[int, ProcessInfo] = process_info
         self._process_target_func = process_target_func
         current_log_context = LogContext.get_current()
         self._log_context_initialization_func = current_log_context.get_initializer() if current_log_context else None
         self._current_operation_context = OperationContext.get_instance().get_context_dict()
+        self._output_dir = output_dir
+        self._serialize_multimedia = serialize_multimedia
 
     def new_process(self, i):
         """
@@ -80,7 +106,8 @@ def restart_process(self, i):
         :param i: Index of the process to restart.
         :type i: int
         """
-        raise NotImplementedError("AbstractProcessManager is an abstract class, no implementation for restart_process.")
+        self.end_process(i)
+        self.new_process(i)
 
     def end_process(self, i):
         """
@@ -89,7 +116,11 @@ def end_process(self, i):
         :param i: Index of the process to terminate.
         :type i: int
         """
-        raise NotImplementedError("AbstractProcessManager is an abstract class, no implementation for end_process.")
+        try:
+            pid = self._process_info[i].process_id
+            self._terminate_process(i, pid)
+        finally:
+            self._process_info.pop(i)
 
     def ensure_healthy(self):
         """
@@ -99,6 +130,64 @@ def ensure_healthy(self):
         """
         raise NotImplementedError("AbstractProcessManager is an abstract class, no implementation for end_process.")
 
+    def get_process_info(self, index):
+        start_time = time.time()
+        while True:
+            self.ensure_healthy()
+            try:
+                if time.time() - start_time > self._PROCESS_INFO_OBTAINED_TIMEOUT:
+                    log_path = get_subprocess_log_path(index)
+                    if not log_errors_from_file(log_path):
+                        log_path = get_manager_process_log_path()
+                        log_errors_from_file(log_path)
+                    raise ProcessInfoObtainedTimeout(self._PROCESS_INFO_OBTAINED_TIMEOUT)
+                # Try to get process id and name from the process_info
+                process_id = self._process_info[index].process_id
+                process_name = self._process_info[index].process_name
+                return (index, process_id, process_name)
+            except KeyError:
+                # If the process_info does not exist for the given index, it means the process have not ready yet,
+                # try again.
+                time.sleep(1)
+                continue
+            except Exception as e:
+                raise Exception(f"Unexpected error occurred while get process info. Exception: {e}")
+
+    def ensure_process_terminated_within_timeout(self, process_id):
+        start_time = time.time()
+        while psutil.pid_exists(process_id):
+            if time.time() - start_time > self._PROCESS_TERMINATED_TIMEOUT:
+                raise ProcessTerminatedTimeout(self._PROCESS_TERMINATED_TIMEOUT)
+            time.sleep(1)
+
+    def ensure_all_processes_terminated(self):
+        for i, info in self._process_info.items():
+            self._terminate_process(i, info.process_id)
+
+    def is_process_alive(self, process_id):
+        return psutil.pid_exists(process_id)
+
+    def _terminate_process(self, i, pid):
+        warning_msg = "Unexpected error occurred while end process for index {i} and process id {pid}. Exception: {e}"
+        try:
+            process = psutil.Process(pid)
+            # The subprocess will get terminate signal from input queue, so we need to wait for the process to exit.
+            # If the process is still running after 10 seconds, it will raise psutil.TimeoutExpired exception.
+            process.wait(timeout=10)
+            bulk_logger.info(f"Process {pid} terminated.")
+        except psutil.NoSuchProcess:
+            bulk_logger.warning(f"Process {pid} had been terminated.")
+        except psutil.TimeoutExpired:
+            try:
+                # If the process is still running after waiting 10 seconds, terminate it.
+                process.terminate()
+                process.wait()
+                bulk_logger.info(f"Process {pid} terminated.")
+            except Exception as e:
+                bulk_logger.warning(warning_msg.format(i=i, pid=pid, e=e))
+        except Exception as e:
+            bulk_logger.warning(warning_msg.format(i=i, pid=pid, e=e))
+
 
 class SpawnProcessManager(AbstractProcessManager):
     """
@@ -133,10 +222,13 @@ def new_process(self, i):
             target=self._process_target_func,
             args=(
                 self._executor_creation_func,
+                self._output_dir,
+                self._serialize_multimedia,
                 self._input_queues[i],
                 self._output_queues[i],
                 self._log_context_initialization_func,
                 self._current_operation_context,
+                i,
             ),
             # Set the process as a daemon process to automatically terminated and release system resources
             # when the main process exits.
@@ -157,47 +249,6 @@ def new_process(self, i):
             )
         return process
 
-    def restart_process(self, i):
-        """
-        Restarts a specified process by first terminating it then creating a new one.
-
-        :param i: Index of the process to restart.
-        :type i: int
-        """
-        self.end_process(i)
-        self.new_process(i)
-
-    def end_process(self, i):
-        """
-        Terminates a specified process.
-
-        :param i: Index of the process to terminate.
-        :type i: int
-        """
-        warning_msg = (
-            "Unexpected error occurred while end process for index {i} and process id {pid}. "
-            "Exception: {e}"
-        )
-        try:
-            pid = self._process_info[i].process_id
-            process = psutil.Process(pid)
-            # The subprocess will get terminate signal from input queue, so we need to wait for the process to exit.
-            # If the process is still running after 10 seconds, it will raise psutil.TimeoutExpired exception.
-            process.wait(timeout=10)
-        except psutil.NoSuchProcess:
-            bulk_logger.warning(f"Process {pid} had been terminated.")
-        except psutil.TimeoutExpired:
-            try:
-                # If the process is still running after waiting 10 seconds, terminate it.
-                process.terminate()
-                process.wait()
-            except Exception as e:
-                bulk_logger.warning(warning_msg.format(i=i, pid=pid, e=e))
-        except Exception as e:
-            bulk_logger.warning(warning_msg.format(i=i, pid=pid, e=e))
-        finally:
-            self._process_info.pop(i)
-
     def ensure_healthy(self):
         """
         Checks the health of the managed processes.
@@ -235,6 +286,8 @@ def __init__(self, control_signal_queue: Queue, flow_create_kwargs, *args, **kwa
         super().__init__(*args, **kwargs)
         self._control_signal_queue = control_signal_queue
         self._flow_create_kwargs = flow_create_kwargs
+        # Use _kwargs to temporarily store all common kwargs and pass them to SpawnedForkProcessManager
+        self._kwargs = kwargs
 
     def start_processes(self):
         """
@@ -246,13 +299,10 @@ def start_processes(self):
             args=(
                 self._log_context_initialization_func,
                 self._current_operation_context,
-                self._input_queues,
-                self._output_queues,
                 self._control_signal_queue,
                 self._flow_create_kwargs,
-                self._process_info,
-                self._process_target_func,
             ),
+            kwargs=self._kwargs,
         )
         process.start()
         self._spawned_fork_process_manager_pid = process.pid
@@ -290,6 +340,13 @@ def ensure_healthy(self):
         # The normal state of the spawned process is 'running'. If the process does not start successfully
         # or exit unexpectedly, its state will be 'zombie'.
         if psutil.Process(self._spawned_fork_process_manager_pid).status() == "zombie":
+            log_path = get_manager_process_log_path()
+            try:
+                with open(log_path, "r") as f:
+                    error_logs = "".join(f.readlines())
+                    bulk_logger.error(error_logs)
+            except FileNotFoundError:
+                pass
             bulk_logger.error("The spawned fork process manager failed to start.")
             ex = SpawnedForkProcessManagerStartFailure()
             raise ex
@@ -334,14 +391,17 @@ def new_process(self, i):
         :param i: Index of the input and output queue for the new process.
         :type i: int
         """
-        process = self.context.Process(
+        process: Process = self.context.Process(
             target=self._process_target_func,
             args=(
                 self._executor_creation_func,
+                self._output_dir,
+                self._serialize_multimedia,
                 self._input_queues[i],
                 self._output_queues[i],
                 self._log_context_initialization_func,
                 self._current_operation_context,
+                i,
             ),
             daemon=True,
         )
@@ -359,47 +419,6 @@ def new_process(self, i):
             )
         return process
 
-    def end_process(self, i):
-        """
-        Terminates a specified process.
-
-        :param i: Index of the process to terminate.
-        :type i: int
-        """
-        warning_msg = (
-            "Unexpected error occurred while end process for index {i} and process id {pid}. "
-            "Exception: {e}"
-        )
-        try:
-            pid = self._process_info[i].process_id
-            process = psutil.Process(pid)
-            # The subprocess will get terminate signal from input queue, so we need to wait for the process to exit.
-            # If the process is still running after 10 seconds, it will raise psutil.TimeoutExpired exception.
-            process.wait(timeout=10)
-        except psutil.NoSuchProcess:
-            bulk_logger.warning(f"Process {pid} had been terminated.")
-        except psutil.TimeoutExpired:
-            try:
-                # If the process is still running after waiting 10 seconds, terminate it.
-                process.terminate()
-                process.wait()
-            except Exception as e:
-                bulk_logger.warning(warning_msg.format(i=i, pid=pid, e=e))
-        except Exception as e:
-            bulk_logger.warning(warning_msg.format(i=i, pid=pid, e=e))
-        finally:
-            self._process_info.pop(i)
-
-    def restart_process(self, i):
-        """
-        Restarts a specified process by first terminating it then creating a new one.
-
-        :param i: Index of the process to restart.
-        :type i: int
-        """
-        self.end_process(i)
-        self.new_process(i)
-
     def handle_signals(self, control_signal, i):
         """
         Handles control signals for processes, performing actions such as starting, ending,
@@ -422,19 +441,20 @@ def handle_signals(self, control_signal, i):
 def create_spawned_fork_process_manager(
     log_context_initialization_func,
     current_operation_context,
-    input_queues,
-    output_queues,
     control_signal_queue,
     flow_create_kwargs,
-    process_info,
-    process_target_func,
+    **kwargs,
 ):
+    ProcessPoolConstants.PROCESS_LOG_PATH.mkdir(parents=True, exist_ok=True)
+    log_path = get_manager_process_log_path()
+    sys.stderr = open(log_path, "w")
+
     """
     Manages the creation, termination, and signaling of processes using the 'fork' context.
     """
     # Set up signal handling for process interruption.
 
-    from promptflow.executor._line_execution_process_pool import create_executor_fork, signal_handler
+    from promptflow.executor._line_execution_process_pool import signal_handler
 
     signal.signal(signal.SIGINT, signal_handler)
 
@@ -443,29 +463,24 @@ def create_spawned_fork_process_manager(
 
     # When using fork, we use this method to create the executor to avoid reloading the flow
     # which will introduce a lot more memory.
-    executor_creation_func = partial(create_executor_fork, flow_executor=executor)
+    executor_creation_func = partial(_create_executor_fork, flow_executor=executor)
 
     manager = SpawnedForkProcessManager(
         log_context_initialization_func,
         current_operation_context,
         control_signal_queue,
         executor_creation_func,
-        input_queues,
-        output_queues,
-        process_info,
-        process_target_func,
+        **kwargs,
     )
 
     # Initialize processes.
-    for i in range(len(input_queues)):
+    for i in range(len(manager._input_queues)):
         manager.new_process(i)
 
     # Main loop to handle control signals and manage process lifecycle.
     while True:
-        all_processes_stopped = True
-
         try:
-            process_info_list = process_info.items()
+            process_info_list = manager._process_info.items()
         except Exception as e:
             bulk_logger.warning(f"Unexpected error occurred while get process info list. Exception: {e}")
             break
@@ -475,20 +490,41 @@ def create_spawned_fork_process_manager(
             # Check if at least one process is alive.
             if psutil.pid_exists(pid):
                 process = psutil.Process(pid)
-                if process.status() != "zombie":
-                    all_processes_stopped = False
-                else:
+                if process.status() == "zombie":
                     # If do not call wait(), the child process may become a zombie process,
                     # and psutil.pid_exists(pid) is always true, which will cause spawn proces
                     # never exit.
                     process.wait()
 
-        # If all fork child processes exit, exit the loop.
-        if all_processes_stopped:
-            break
         try:
             control_signal, i = control_signal_queue.get(timeout=1)
-            manager.handle_signals(control_signal, i)
+            # Exit the spawned process manager.
+            if control_signal == ProcessControlSignal.SPAWNED_MANAGER_END and i is True:
+                break
+            else:
+                manager.handle_signals(control_signal, i)
         except queue.Empty:
             # Do nothing until the process_queue have not content or process is killed
             pass
+
+
+def _create_executor_fork(*, flow_executor: FlowExecutor, storage: AbstractRunStorage):
+    if isinstance(flow_executor, ScriptExecutor):
+        return ScriptExecutor(
+            flow_file=flow_executor._flow_file,
+            connections=flow_executor._connections,
+            working_dir=flow_executor._working_dir,
+            storage=storage,
+            init_kwargs=flow_executor._init_kwargs,
+        )
+    else:
+        run_tracker = RunTracker(run_storage=storage)
+        return FlowExecutor(
+            flow=flow_executor._flow,
+            connections=flow_executor._connections,
+            run_tracker=run_tracker,
+            cache_manager=flow_executor._cache_manager,
+            loaded_tools=flow_executor._loaded_tools,
+            raise_ex=False,
+            line_timeout_sec=flow_executor._line_timeout_sec,
+        )
diff --git a/src/promptflow/promptflow/executor/_result.py b/src/promptflow-core/promptflow/executor/_result.py
similarity index 100%
rename from src/promptflow/promptflow/executor/_result.py
rename to src/promptflow-core/promptflow/executor/_result.py
diff --git a/src/promptflow/promptflow/executor/_script_executor.py b/src/promptflow-core/promptflow/executor/_script_executor.py
similarity index 60%
rename from src/promptflow/promptflow/executor/_script_executor.py
rename to src/promptflow-core/promptflow/executor/_script_executor.py
index 191ceac995b..e84c88fb3f5 100644
--- a/src/promptflow/promptflow/executor/_script_executor.py
+++ b/src/promptflow-core/promptflow/executor/_script_executor.py
@@ -1,15 +1,19 @@
 import asyncio
+import dataclasses
 import importlib
 import inspect
 import uuid
+from dataclasses import is_dataclass
 from pathlib import Path
-from typing import Any, Callable, Mapping, Optional
+from types import GeneratorType
+from typing import Any, Callable, Dict, Mapping, Optional
 
-from promptflow._constants import LINE_NUMBER_KEY
+from promptflow._constants import LINE_NUMBER_KEY, MessageFormatType
 from promptflow._core.run_tracker import RunTracker
 from promptflow._core.tool_meta_generator import PythonLoadError
 from promptflow._utils.dataclass_serializer import convert_eager_flow_output_to_dict
 from promptflow._utils.logger_utils import logger
+from promptflow._utils.multimedia_utils import BasicMultimediaProcessor
 from promptflow._utils.tool_utils import function_to_interface
 from promptflow._utils.yaml_utils import load_yaml
 from promptflow.contracts.flow import Flow
@@ -19,6 +23,7 @@
 from promptflow.tracing._trace import _traced
 from promptflow.tracing._tracer import Tracer
 
+from ._errors import FlowEntryInitializationError
 from .flow_executor import FlowExecutor
 
 
@@ -30,10 +35,13 @@ def __init__(
         working_dir: Optional[Path] = None,
         *,
         storage: Optional[AbstractRunStorage] = None,
+        init_kwargs: Optional[Dict[str, Any]] = None,
     ):
         logger.debug(f"Start initializing the executor with {flow_file}.")
+        logger.debug(f"Init params for script executor: {init_kwargs}")
 
         self._flow_file = flow_file
+        self._init_kwargs = init_kwargs or {}
         self._working_dir = Flow._resolve_working_dir(flow_file, working_dir)
         self._initialize_function()
         self._connections = connections
@@ -41,23 +49,31 @@ def __init__(
         self._flow_id = "default_flow_id"
         self._log_interval = 60
         self._line_timeout_sec = 600
+        self._message_format = MessageFormatType.BASIC
+        self._multimedia_processor = BasicMultimediaProcessor()
 
     def exec_line(
         self,
         inputs: Mapping[str, Any],
         index: Optional[int] = None,
         run_id: Optional[str] = None,
+        allow_generator_output: bool = False,
         **kwargs,
     ) -> LineResult:
         run_id = run_id or str(uuid.uuid4())
         with self._update_operation_context(run_id, index):
-            return self._exec_line(inputs, index, run_id)
+            return self._exec_line(inputs, index, run_id, allow_generator_output=allow_generator_output)
 
     def _exec_line(
-        self, inputs: Mapping[str, Any], index: Optional[int] = None, run_id: Optional[str] = None
+        self,
+        inputs: Mapping[str, Any],
+        index: Optional[int] = None,
+        run_id: Optional[str] = None,
+        allow_generator_output: bool = False,
     ) -> LineResult:
         line_run_id = run_id if index is None else f"{run_id}_{index}"
         run_tracker = RunTracker(self._storage)
+        run_tracker.allow_generator_types = allow_generator_output
         run_info = run_tracker.start_flow_run(
             flow_id=self._flow_id,
             root_run_id=run_id,
@@ -65,6 +81,7 @@ def _exec_line(
             parent_run_id=run_id,
             inputs=inputs,
             index=index,
+            message_format=self._message_format,
         )
         # Executor will add line_number to batch inputs if there is no line_number in the original inputs,
         # which should be removed, so, we only preserve the inputs that are contained in self._inputs.
@@ -77,6 +94,7 @@ def _exec_line(
                 output = asyncio.run(self._func(**inputs))
             else:
                 output = self._func(**inputs)
+            output = self._stringify_generator_output(output) if not allow_generator_output else output
             traces = Tracer.end_tracing(line_run_id)
             # Should convert output to dict before storing it to run info, since we will add key 'line_number' to it,
             # so it must be a dict.
@@ -94,18 +112,55 @@ def _exec_line(
             line_result.output[LINE_NUMBER_KEY] = index
         return line_result
 
+    def _stringify_generator_output(self, output):
+        if isinstance(output, dict):
+            return super()._stringify_generator_output(output)
+        elif is_dataclass(output):
+            fields = dataclasses.fields(output)
+            for field in fields:
+                if isinstance(getattr(output, field.name), GeneratorType):
+                    consumed_values = "".join(str(chuck) for chuck in getattr(output, field.name))
+                    setattr(output, field.name, consumed_values)
+        else:
+            if isinstance(output, GeneratorType):
+                output = "".join(str(chuck) for chuck in output)
+        return output
+
     def enable_streaming_for_llm_flow(self, stream_required: Callable[[], bool]):
-        # TODO(2901157): check if eager mode should have streaming
+        # no need to inject streaming here, user can directly pass the param to the function
         return
 
     def get_inputs_definition(self):
         return self._inputs
 
     def _initialize_function(self):
-        module_name, func_name = self._parse_flow_file()
-        module = importlib.import_module(module_name)
+        try:
+            module_name, func_name = self._parse_flow_file()
+            module = importlib.import_module(module_name)
+        except Exception as e:
+            raise PythonLoadError(
+                message_format="Failed to load python module for {entry_file}",
+                entry_file=self._flow_file,
+            ) from e
         func = getattr(module, func_name, None)
-        if func is None or not inspect.isfunction(func):
+        # check if func is a callable class
+        if inspect.isclass(func):
+            if hasattr(func, "__call__"):
+                logger.debug(
+                    f"Python class entry '{func_name}' has __call__ method, initializing it with {self._init_kwargs}"
+                )
+                try:
+                    obj = func(**self._init_kwargs)
+                except Exception as e:
+                    raise FlowEntryInitializationError(init_kwargs=self._init_kwargs) from e
+                func = getattr(obj, "__call__")
+            else:
+                raise PythonLoadError(
+                    message_format="Python class entry '{func_name}' does not have __call__ method.",
+                    func_name=func_name,
+                    module_name=module_name,
+                )
+        elif func is None or not inspect.isfunction(func):
             raise PythonLoadError(
                 message_format="Failed to load python function '{func_name}' from file '{module_name}'.",
                 func_name=func_name,
diff --git a/src/promptflow/promptflow/executor/_service/apis/__init__.py b/src/promptflow-core/promptflow/executor/_service/__init__.py
similarity index 100%
rename from src/promptflow/promptflow/executor/_service/apis/__init__.py
rename to src/promptflow-core/promptflow/executor/_service/__init__.py
diff --git a/src/promptflow/promptflow/executor/_service/_errors.py b/src/promptflow-core/promptflow/executor/_service/_errors.py
similarity index 74%
rename from src/promptflow/promptflow/executor/_service/_errors.py
rename to src/promptflow-core/promptflow/executor/_service/_errors.py
index 0703e1a6d1a..38466487b75 100644
--- a/src/promptflow/promptflow/executor/_service/_errors.py
+++ b/src/promptflow-core/promptflow/executor/_service/_errors.py
@@ -2,10 +2,12 @@
 # Copyright (c) Microsoft Corporation. All rights reserved.
 # ---------------------------------------------------------
 
-from promptflow.exceptions import ErrorTarget, UserErrorException
+from promptflow.exceptions import ErrorTarget, SystemErrorException, UserErrorException
 
 
 class FlowFilePathInvalid(UserErrorException):
+    """Exception raise when the flow file path is not an absolute path."""
+
     pass
 
 
@@ -29,3 +31,9 @@ def __init__(self, run_id):
             run_id=run_id,
             target=ErrorTarget.EXECUTOR,
         )
+
+
+class UninitializedError(SystemErrorException):
+    """Exception raised when batch coordinator is not initialize."""
+
+    pass
diff --git a/src/promptflow/promptflow/executor/_service/contracts/__init__.py b/src/promptflow-core/promptflow/executor/_service/apis/__init__.py
similarity index 100%
rename from src/promptflow/promptflow/executor/_service/contracts/__init__.py
rename to src/promptflow-core/promptflow/executor/_service/apis/__init__.py
diff --git a/src/promptflow-core/promptflow/executor/_service/apis/batch.py b/src/promptflow-core/promptflow/executor/_service/apis/batch.py
new file mode 100644
index 00000000000..3ee3227bbfc
--- /dev/null
+++ b/src/promptflow-core/promptflow/executor/_service/apis/batch.py
@@ -0,0 +1,62 @@
+# ---------------------------------------------------------
+# Copyright (c) Microsoft Corporation. All rights reserved.
+# ---------------------------------------------------------
+
+
+from fastapi import APIRouter
+
+from promptflow._utils.logger_utils import service_logger
+from promptflow.executor._service.contracts.batch_request import (
+    AggregationRequest,
+    InitializationRequest,
+    LineExecutionRequest,
+)
+from promptflow.executor._service.utils.batch_coordinator import BatchCoordinator
+from promptflow.executor._service.utils.service_utils import (
+    get_log_context,
+    set_environment_variables,
+    update_and_get_operation_context,
+)
+
+router = APIRouter()
+
+
+@router.post("/initialize")
+def initialize(request: InitializationRequest):
+    with get_log_context(request, enable_service_logger=True):
+        # validate request and get operation context
+        request.validate_request()
+        operation_context = update_and_get_operation_context(request.operation_context)
+        service_logger.info(f"Received batch init request, executor version: {operation_context.get_user_agent()}.")
+        # resolve environment variables
+        set_environment_variables(request)
+        # init batch coordinator to validate flow and create process pool
+        batch_coordinator = BatchCoordinator(
+            request.working_dir,
+            request.flow_file,
+            request.output_dir,
+            request.connections,
+            worker_count=request.worker_count,
+            line_timeout_sec=request.line_timeout_sec,
+        )
+        batch_coordinator.start()
+        # return json response
+        return {"status": "initialized"}
+
+
+@router.post("/execution")
+async def execution(request: LineExecutionRequest):
+    return await BatchCoordinator.get_instance().exec_line(request)
+
+
+@router.post("/aggregation")
+def aggregation(request: AggregationRequest):
+    return BatchCoordinator.get_instance().exec_aggregation(request)
+
+
+@router.post("/finalize")
+def finalize():
+    with BatchCoordinator.get_instance().get_log_context():
+        service_logger.info("Received the finalize request.")
+        BatchCoordinator.get_instance().close()
+        return {"status": "finalized"}
diff --git a/src/promptflow/promptflow/executor/_service/apis/common.py b/src/promptflow-core/promptflow/executor/_service/apis/common.py
similarity index 82%
rename from src/promptflow/promptflow/executor/_service/apis/common.py
rename to src/promptflow-core/promptflow/executor/_service/apis/common.py
index da8f99c3a93..c99129e3d84 100644
--- a/src/promptflow/promptflow/executor/_service/apis/common.py
+++ b/src/promptflow-core/promptflow/executor/_service/apis/common.py
@@ -6,7 +6,8 @@
 from fastapi.responses import PlainTextResponse
 
 from promptflow._utils.feature_utils import get_feature_list
-from promptflow.executor._service.utils.service_utils import get_executor_version
+from promptflow.core._version import __version__
+from promptflow.executor._service.utils.service_utils import get_commit_id
 
 router = APIRouter()
 
@@ -20,6 +21,7 @@ def health_check():
 def version():
     return {
         "status": "healthy",
-        "version": get_executor_version(),
+        "version": __version__,
+        "commit_id": get_commit_id(),
         "feature_list": get_feature_list(),
     }
diff --git a/src/promptflow/promptflow/executor/_service/apis/execution.py b/src/promptflow-core/promptflow/executor/_service/apis/execution.py
similarity index 98%
rename from src/promptflow/promptflow/executor/_service/apis/execution.py
rename to src/promptflow-core/promptflow/executor/_service/apis/execution.py
index 995fe48609c..778dcdd55a4 100644
--- a/src/promptflow/promptflow/executor/_service/apis/execution.py
+++ b/src/promptflow-core/promptflow/executor/_service/apis/execution.py
@@ -15,6 +15,7 @@
 from promptflow.executor._service.utils.process_manager import ProcessManager
 from promptflow.executor._service.utils.process_utils import invoke_sync_function_in_process
 from promptflow.executor._service.utils.service_utils import (
+    enable_async_execution,
     get_log_context,
     set_environment_variables,
     update_and_get_operation_context,
@@ -81,6 +82,7 @@ def flow_test(request: FlowExecutionRequest):
     request.validate_request()
     # resolve environment variables
     set_environment_variables(request)
+    enable_async_execution()
     # execute flow
     storage = DefaultRunStorage(base_dir=request.working_dir, sub_dir=request.output_dir)
     with get_log_context(request):
diff --git a/src/promptflow/promptflow/executor/_service/apis/tool.py b/src/promptflow-core/promptflow/executor/_service/apis/tool.py
similarity index 100%
rename from src/promptflow/promptflow/executor/_service/apis/tool.py
rename to src/promptflow-core/promptflow/executor/_service/apis/tool.py
diff --git a/src/promptflow/promptflow/executor/_service/app.py b/src/promptflow-core/promptflow/executor/_service/app.py
similarity index 89%
rename from src/promptflow/promptflow/executor/_service/app.py
rename to src/promptflow-core/promptflow/executor/_service/app.py
index 1ff45e8f514..011266d3e76 100644
--- a/src/promptflow/promptflow/executor/_service/app.py
+++ b/src/promptflow-core/promptflow/executor/_service/app.py
@@ -5,6 +5,7 @@
 from fastapi import FastAPI
 from fastapi.responses import JSONResponse
 
+from promptflow.executor._service.apis.batch import router as batch_router
 from promptflow.executor._service.apis.common import router as common_router
 from promptflow.executor._service.apis.execution import router as execution_router
 from promptflow.executor._service.apis.tool import router as tool_router
@@ -15,6 +16,7 @@
 app.include_router(common_router)
 app.include_router(execution_router)
 app.include_router(tool_router)
+app.include_router(batch_router)
 
 
 @app.exception_handler(Exception)
diff --git a/src/promptflow/promptflow/executor/_service/utils/__init__.py b/src/promptflow-core/promptflow/executor/_service/contracts/__init__.py
similarity index 100%
rename from src/promptflow/promptflow/executor/_service/utils/__init__.py
rename to src/promptflow-core/promptflow/executor/_service/contracts/__init__.py
diff --git a/src/promptflow/promptflow/executor/_service/contracts/base_request.py b/src/promptflow-core/promptflow/executor/_service/contracts/base_request.py
similarity index 100%
rename from src/promptflow/promptflow/executor/_service/contracts/base_request.py
rename to src/promptflow-core/promptflow/executor/_service/contracts/base_request.py
diff --git a/src/promptflow-core/promptflow/executor/_service/contracts/batch_request.py b/src/promptflow-core/promptflow/executor/_service/contracts/batch_request.py
new file mode 100644
index 00000000000..602e9eb6e47
--- /dev/null
+++ b/src/promptflow-core/promptflow/executor/_service/contracts/batch_request.py
@@ -0,0 +1,36 @@
+# ---------------------------------------------------------
+# Copyright (c) Microsoft Corporation. All rights reserved.
+# ---------------------------------------------------------
+
+from typing import Any, Mapping, Optional
+
+from promptflow._constants import LINE_TIMEOUT_SEC
+from promptflow.contracts.run_mode import RunMode
+from promptflow.executor._service.contracts.base_request import BaseRequest
+from promptflow.executor._service.contracts.execution_request import BaseExecutionRequest
+
+
+class InitializationRequest(BaseExecutionRequest):
+    """Request model for teh batch run initialization."""
+
+    worker_count: Optional[int] = None
+    line_timeout_sec: Optional[int] = LINE_TIMEOUT_SEC
+
+    def get_run_mode(self):
+        return RunMode.Batch
+
+
+class LineExecutionRequest(BaseRequest):
+    """Request model for line execution in the batch run."""
+
+    run_id: str
+    line_number: int
+    inputs: Mapping[str, Any]
+
+
+class AggregationRequest(BaseRequest):
+    """Request model for executing aggregation nodes in the batch run."""
+
+    run_id: str
+    batch_inputs: Mapping[str, Any]
+    aggregation_inputs: Mapping[str, Any]
diff --git a/src/promptflow/promptflow/executor/_service/contracts/execution_request.py b/src/promptflow-core/promptflow/executor/_service/contracts/execution_request.py
similarity index 62%
rename from src/promptflow/promptflow/executor/_service/contracts/execution_request.py
rename to src/promptflow-core/promptflow/executor/_service/contracts/execution_request.py
index d7fa6889ca4..fc7f286694a 100644
--- a/src/promptflow/promptflow/executor/_service/contracts/execution_request.py
+++ b/src/promptflow-core/promptflow/executor/_service/contracts/execution_request.py
@@ -2,6 +2,7 @@
 # Copyright (c) Microsoft Corporation. All rights reserved.
 # ---------------------------------------------------------
 
+import os
 from pathlib import Path
 from typing import Any, Mapping, Optional
 
@@ -13,7 +14,6 @@
 class BaseExecutionRequest(BaseRequest):
     """Base request model for execution."""
 
-    run_id: str
     working_dir: Path
     flow_file: Path
     output_dir: Path
@@ -25,18 +25,35 @@ def get_run_mode(self):
         raise NotImplementedError(f"Request type {self.__class__.__name__} is not implemented.")
 
     def validate_request(self):
-        if self.flow_file.is_absolute():
+        if not self.working_dir.is_absolute() or self.flow_file.is_absolute():
+            raise FlowFilePathInvalid(
+                message_format=(
+                    "The working directory path ({working_dir}) or flow file path ({flow_file}) is invalid. "
+                    "The working directory should be a absolute path and the flow file path should be "
+                    "relative to the working directory."
+                ),
+                working_dir=self.working_dir.as_posix(),
+                flow_file=self.flow_file.as_posix(),
+            )
+        # Ensure that the flow file path is within the working directory
+        working_dir = os.path.normpath(self.working_dir)
+        flow_file = os.path.normpath(self.flow_file)
+        full_path = os.path.normpath(os.path.join(working_dir, flow_file))
+        if not full_path.startswith(working_dir):
             raise FlowFilePathInvalid(
                 message_format=(
-                    "The flow file path ({flow_file}) is invalid. The path should be relative to the working directory."
+                    "The flow file path ({flow_file}) is invalid. The path should be in the working directory."
                 ),
                 flow_file=self.flow_file.as_posix(),
             )
+        self.working_dir = Path(working_dir)
+        self.flow_file = Path(flow_file)
 
 
 class FlowExecutionRequest(BaseExecutionRequest):
     """Request model for flow execution."""
 
+    run_id: str
     inputs: Optional[Mapping[str, Any]] = None
 
     def get_run_mode(self):
@@ -46,6 +63,7 @@ def get_run_mode(self):
 class NodeExecutionRequest(BaseExecutionRequest):
     """Request model for node execution."""
 
+    run_id: str
     node_name: str
     flow_inputs: Mapping[str, Any] = None
     dependency_nodes_outputs: Mapping[str, Any] = None
diff --git a/src/promptflow/promptflow/executor/_service/contracts/tool_request.py b/src/promptflow-core/promptflow/executor/_service/contracts/tool_request.py
similarity index 100%
rename from src/promptflow/promptflow/executor/_service/contracts/tool_request.py
rename to src/promptflow-core/promptflow/executor/_service/contracts/tool_request.py
diff --git a/src/promptflow-core/promptflow/executor/_service/utils/__init__.py b/src/promptflow-core/promptflow/executor/_service/utils/__init__.py
new file mode 100644
index 00000000000..d540fd20468
--- /dev/null
+++ b/src/promptflow-core/promptflow/executor/_service/utils/__init__.py
@@ -0,0 +1,3 @@
+# ---------------------------------------------------------
+# Copyright (c) Microsoft Corporation. All rights reserved.
+# ---------------------------------------------------------
diff --git a/src/promptflow-core/promptflow/executor/_service/utils/batch_coordinator.py b/src/promptflow-core/promptflow/executor/_service/utils/batch_coordinator.py
new file mode 100644
index 00000000000..dd112bb70d2
--- /dev/null
+++ b/src/promptflow-core/promptflow/executor/_service/utils/batch_coordinator.py
@@ -0,0 +1,98 @@
+# ---------------------------------------------------------
+# Copyright (c) Microsoft Corporation. All rights reserved.
+# ---------------------------------------------------------
+
+from pathlib import Path
+from typing import Any, Mapping, Optional
+
+from promptflow._constants import OutputsFolderName
+from promptflow._utils.logger_utils import LogContext
+from promptflow.executor import FlowExecutor
+from promptflow.executor._line_execution_process_pool import LineExecutionProcessPool
+from promptflow.executor._service._errors import UninitializedError
+from promptflow.executor._service.contracts.batch_request import AggregationRequest, LineExecutionRequest
+from promptflow.storage._run_storage import DummyRunStorage
+
+
+class BatchCoordinator:
+    _instance = None
+    _init = False
+
+    def __new__(cls, *args, **kwargs):
+        if cls._instance is None:
+            cls._instance = super(BatchCoordinator, cls).__new__(cls)
+        return cls._instance
+
+    def __init__(
+        self,
+        working_dir: Path,
+        flow_file: Path,
+        output_dir: Path,
+        connections: Optional[Mapping[str, Any]] = None,
+        worker_count: Optional[int] = None,
+        line_timeout_sec: Optional[int] = None,
+    ):
+        if self._init:
+            return
+        # Save log context for close method
+        self._log_context = LogContext.get_current()
+
+        # Init flow executor and validate flow
+        self._output_dir = output_dir
+
+        # The storage of FlowExecutor will be passed to LineExecutionProcessPool
+        # and responsible for persisting the run info during line execution.
+
+        # So we pass DummyRunStorage to FlowExecutor because we don't need to
+        # persist the run infos during execution in server mode.
+        self._flow_executor = FlowExecutor.create(
+            flow_file, connections, working_dir, storage=DummyRunStorage(), raise_ex=False
+        )
+
+        # Init line execution process pool and set serialize_multimedia_during_execution to True
+        # to ensure that images are converted to paths during line execution.
+        self._process_pool = LineExecutionProcessPool(
+            output_dir,
+            self._flow_executor,
+            worker_count=worker_count,
+            line_timeout_sec=line_timeout_sec,
+            serialize_multimedia_during_execution=True,
+        )
+        self._init = True
+
+    @classmethod
+    def get_instance(cls):
+        if cls._instance is None:
+            raise UninitializedError(
+                "Please initialize the executor service with the '/initialize' api before sending execution requests."
+            )
+        return cls._instance
+
+    def get_log_context(self):
+        return self._log_context
+
+    def start(self):
+        """Start the process pool."""
+        self._process_pool.start()
+
+    async def exec_line(self, request: LineExecutionRequest):
+        """Execute a line in the process pool."""
+        return await self._process_pool.submit(request.run_id, request.line_number, request.inputs)
+
+    def exec_aggregation(self, request: AggregationRequest):
+        """Execute aggregation nodes for the batch run."""
+        with self._flow_executor._run_tracker.node_log_manager:
+            aggregation_result = self._flow_executor._exec_aggregation(
+                request.batch_inputs, request.aggregation_inputs, request.run_id
+            )
+            # Serialize the multimedia data of the node run infos under the mode artifacts folder.
+            for node_run_info in aggregation_result.node_run_infos.values():
+                base_dir = self._output_dir / OutputsFolderName.NODE_ARTIFACTS / node_run_info.node
+                self._flow_executor._multimedia_processor.process_multimedia_in_run_info(node_run_info, base_dir)
+        return aggregation_result
+
+    def close(self):
+        """Close the process pool."""
+        self._process_pool.close()
+        self._init = False
+        self._instance = None
diff --git a/src/promptflow-core/promptflow/executor/_service/utils/process_manager.py b/src/promptflow-core/promptflow/executor/_service/utils/process_manager.py
new file mode 100644
index 00000000000..803aa2b83aa
--- /dev/null
+++ b/src/promptflow-core/promptflow/executor/_service/utils/process_manager.py
@@ -0,0 +1,51 @@
+# ---------------------------------------------------------
+# Copyright (c) Microsoft Corporation. All rights reserved.
+# ---------------------------------------------------------
+
+import os
+import signal
+from multiprocessing import Process
+from typing import Dict
+
+from promptflow._utils.logger_utils import service_logger
+
+
+class ProcessManager:
+    _instance = None
+    _processes_mapping: Dict[str, Process]
+
+    def __new__(cls, *args, **kwargs):
+        if cls._instance is None:
+            cls._instance = super(ProcessManager, cls).__new__(cls)
+            cls._instance._processes_mapping = {}
+        return cls._instance
+
+    def start_process(self, run_id: str, process: Process):
+        self._processes_mapping[run_id] = process
+
+    def get_process(self, run_id: str) -> Process:
+        return self._processes_mapping.get(run_id, None)
+
+    def remove_process(self, run_id: str) -> Process:
+        return self._processes_mapping.pop(run_id, None)
+
+    def end_process(self, run_id: str):
+        process = self.remove_process(run_id)
+        if process and process.is_alive():
+            try:
+                # Executor will handle SIGINT.
+                os.kill(process.pid, signal.SIGINT)
+                service_logger.info(f"Kill process[{process.pid}] for run[{run_id}] with SIGINT.")
+                # Wait for 30s for executor process to gracefully shutdown
+                process.join(timeout=30)
+                if process.is_alive():
+                    # Force kill if still alive
+                    os.kill(process.pid, signal.SIGKILL)
+                    service_logger.info(f"Kill process[{process.pid}] for run[{run_id}] with SIGKILL.")
+                service_logger.info(f"Successfully terminated process[{process.pid}] for run[{run_id}].")
+            except ProcessLookupError:
+                service_logger.info(
+                    f"Process[{process.pid}] for run[{run_id}] not found, it might have already terminated."
+                )
+        else:
+            service_logger.info(f"Process for run[{run_id}] not found in mapping, it may have already been removed.")
diff --git a/src/promptflow/promptflow/executor/_service/utils/process_utils.py b/src/promptflow-core/promptflow/executor/_service/utils/process_utils.py
similarity index 86%
rename from src/promptflow/promptflow/executor/_service/utils/process_utils.py
rename to src/promptflow-core/promptflow/executor/_service/utils/process_utils.py
index a49c9039810..aa20a5852c4 100644
--- a/src/promptflow/promptflow/executor/_service/utils/process_utils.py
+++ b/src/promptflow-core/promptflow/executor/_service/utils/process_utils.py
@@ -10,16 +10,14 @@
 from datetime import datetime, timedelta
 from typing import Callable
 
-import psutil
-
 from promptflow._core._errors import UnexpectedError
-from promptflow._core.operation_context import OperationContext
 from promptflow._utils.exception_utils import ExceptionPresenter, JsonSerializedPromptflowException
 from promptflow._utils.logger_utils import service_logger
 from promptflow._utils.process_utils import block_terminate_signal_to_parent
 from promptflow.exceptions import ErrorTarget
 from promptflow.executor._service._errors import ExecutionCanceledError, ExecutionTimeoutError
 from promptflow.executor._service.utils.process_manager import ProcessManager
+from promptflow.tracing._operation_context import OperationContext
 
 LONG_WAIT_TIMEOUT = timedelta(days=1).total_seconds()
 SHORT_WAIT_TIMEOUT = 10
@@ -45,18 +43,14 @@ async def invoke_sync_function_in_process(
         p.start()
         service_logger.info(f"[{os.getpid()}--{p.pid}] Start process to execute the request.")
         if run_id:
-            ProcessManager().start_process(run_id, p.pid)
+            ProcessManager().start_process(run_id, p)
 
         try:
             # Wait for the process to finish or timeout asynchronously
             start_time = datetime.utcnow()
-            while (datetime.utcnow() - start_time).total_seconds() < wait_timeout and _is_process_alive(p):
+            while (datetime.utcnow() - start_time).total_seconds() < wait_timeout and p.is_alive():
                 await asyncio.sleep(1)
 
-            # If process_id is None, it indicates that the process has been terminated by cancel request.
-            if run_id and not ProcessManager().get_process(run_id):
-                raise ExecutionCanceledError(run_id)
-
             # Terminate the process if it is still alive after timeout
             if p.is_alive():
                 service_logger.error(f"[{p.pid}] Stop process for exceeding {wait_timeout} seconds.")
@@ -66,8 +60,12 @@ async def invoke_sync_function_in_process(
 
             # Raise exception if the process exit code is not 0
             if p.exitcode != 0:
+                # If process is not None, it indicates that the process has been terminated by other errors.
                 exception = error_dict.get("error", None)
                 if exception is None:
+                    # If process is None, it indicates that the process has been terminated by cancel request.
+                    if run_id and not ProcessManager().get_process(run_id):
+                        raise ExecutionCanceledError(run_id)
                     raise UnexpectedError(
                         message="Unexpected error occurred while executing the request",
                         target=ErrorTarget.EXECUTOR,
@@ -83,15 +81,6 @@ async def invoke_sync_function_in_process(
                 ProcessManager().remove_process(run_id)
 
 
-def _is_process_alive(p: multiprocessing.Process):
-    if psutil.pid_exists(p.pid):
-        if psutil.Process(p.pid).status() != psutil.STATUS_ZOMBIE:
-            return True
-    # Call p.join() to clear the zombie process correctly.
-    p.join()
-    return False
-
-
 def _execute_target_function(
     target_function: Callable,
     args: tuple,
diff --git a/src/promptflow/promptflow/executor/_service/utils/service_utils.py b/src/promptflow-core/promptflow/executor/_service/utils/service_utils.py
similarity index 71%
rename from src/promptflow/promptflow/executor/_service/utils/service_utils.py
rename to src/promptflow-core/promptflow/executor/_service/utils/service_utils.py
index 6f49033681e..6ab5861ee93 100644
--- a/src/promptflow/promptflow/executor/_service/utils/service_utils.py
+++ b/src/promptflow-core/promptflow/executor/_service/utils/service_utils.py
@@ -7,11 +7,11 @@
 from typing import Any, Mapping, Union
 
 from promptflow._core.connection_manager import ConnectionManager
-from promptflow._core.operation_context import OperationContext
 from promptflow._utils.exception_utils import ErrorResponse, ExceptionPresenter, JsonSerializedPromptflowException
 from promptflow._utils.logger_utils import LogContext, service_logger
-from promptflow._version import VERSION
+from promptflow._utils.user_agent_utils import append_promptflow_package_ua
 from promptflow.executor._service.contracts.execution_request import BaseExecutionRequest
+from promptflow.tracing._operation_context import OperationContext
 
 
 def get_log_context(request: BaseExecutionRequest, enable_service_logger: bool = False) -> LogContext:
@@ -29,19 +29,28 @@ def update_and_get_operation_context(context_dict: Mapping[str, Any]) -> Operati
         return operation_context
     # update operation context with context_dict
     operation_context.update(context_dict)
-    # update user agent to operation context
-    executor_user_agent = get_executor_version()
-    operation_context.append_user_agent(executor_user_agent)
+    # update promptflow version to operation context
+    append_promptflow_package_ua(operation_context)
     return operation_context
 
 
-def get_executor_version():
+def get_commit_id():
+    """Get commit id from BUILD_INFO environment variable.
+
+    BUILD_INFO is a json string in the promptflow-python image, like
+    '{
+        "build_number": "20240326.v2",
+        "date": "2024-03-27 05:12:33",
+        "commit_id": "...",
+        "branch": "main"
+    }'
+    """
     build_info = os.environ.get("BUILD_INFO", "")
     try:
         build_info_dict = json.loads(build_info)
-        return "promptflow-executor/" + build_info_dict["build_number"]
+        return build_info_dict["commit_id"]
     except Exception:
-        return "promptflow-executor/" + VERSION
+        return "unknown"
 
 
 def generate_error_response(ex: Union[dict, Exception]):
@@ -57,3 +66,9 @@ def generate_error_response(ex: Union[dict, Exception]):
 def set_environment_variables(request: BaseExecutionRequest):
     if isinstance(request.environment_variables, dict) and request.environment_variables:
         os.environ.update(request.environment_variables)
+
+
+def enable_async_execution():
+    """Set env PF_USE_ASYNC to true to enable async execution"""
+    # TODO: Will remove when AsyncNodesScheduler is used by default
+    os.environ["PF_USE_ASYNC"] = "true"
diff --git a/src/promptflow/promptflow/executor/_tool_invoker.py b/src/promptflow-core/promptflow/executor/_tool_invoker.py
similarity index 100%
rename from src/promptflow/promptflow/executor/_tool_invoker.py
rename to src/promptflow-core/promptflow/executor/_tool_invoker.py
diff --git a/src/promptflow/promptflow/executor/_tool_resolver.py b/src/promptflow-core/promptflow/executor/_tool_resolver.py
similarity index 73%
rename from src/promptflow/promptflow/executor/_tool_resolver.py
rename to src/promptflow-core/promptflow/executor/_tool_resolver.py
index d9f7a4ba25e..0f96cea03c4 100644
--- a/src/promptflow/promptflow/executor/_tool_resolver.py
+++ b/src/promptflow-core/promptflow/executor/_tool_resolver.py
@@ -10,28 +10,34 @@
 from pathlib import Path
 from typing import Callable, List, Optional
 
+from promptflow._constants import MessageFormatType
 from promptflow._core._errors import InvalidSource
 from promptflow._core.connection_manager import ConnectionManager
 from promptflow._core.tool import STREAMING_OPTION_PARAMETER_ATTR
 from promptflow._core.tools_manager import BuiltinsManager, ToolLoader, connection_type_to_api_mapping
-from promptflow._utils.multimedia_utils import create_image, load_multimedia_data_recursively
+from promptflow._utils.multimedia_utils import MultimediaProcessor
 from promptflow._utils.tool_utils import get_inputs_for_prompt_template, get_prompt_param_name_from_func
 from promptflow._utils.yaml_utils import load_yaml
 from promptflow.contracts.flow import InputAssignment, InputValueType, Node, ToolSource, ToolSourceType
 from promptflow.contracts.tool import ConnectionType, Tool, ToolType, ValueType
 from promptflow.contracts.types import AssistantDefinition, PromptTemplate
 from promptflow.exceptions import ErrorTarget, PromptflowException, UserErrorException
-from promptflow.executor._assistant_tool_invoker import AssistantTool, AssistantToolInvoker
+from promptflow.executor._assistant_tool_invoker import (
+    AssistantTool,
+    AssistantToolInvoker,
+    AssistantToolResolver,
+    ResolvedAssistantTool,
+)
 from promptflow.executor._docstring_parser import DocstringParser
 from promptflow.executor._errors import (
     ConnectionNotFound,
     EmptyLLMApiMapping,
     FailedToParseAssistantTool,
+    InvalidAssistantTool,
     InvalidConnectionType,
     InvalidCustomLLMTool,
     NodeInputValidationError,
     ResolveToolError,
-    UnsupportedAssistantToolType,
     ValueTypeUnresolved,
 )
 
@@ -50,6 +56,7 @@ def __init__(
         working_dir: Path,
         connections: Optional[dict] = None,
         package_tool_keys: Optional[List[str]] = None,
+        message_format: str = MessageFormatType.BASIC,
     ):
         try:
             # Import openai and aoai for llm tool
@@ -59,6 +66,7 @@ def __init__(
         self._tool_loader = ToolLoader(working_dir, package_tool_keys=package_tool_keys)
         self._working_dir = working_dir
         self._connection_manager = ConnectionManager(connections)
+        self._multimedia_processor = MultimediaProcessor.create(message_format)
 
     @classmethod
     def start_resolver(
@@ -68,31 +76,39 @@ def start_resolver(
         resolver._activate_in_context(force=True)
         return resolver
 
-    def _convert_to_connection_value(self, k: str, v: InputAssignment, node: Node, conn_types: List[ValueType]):
+    def _convert_to_connection_value(self, k: str, v: InputAssignment, node_name: str, conn_types: List[ValueType]):
         connection_value = self._connection_manager.get(v.value)
         if not connection_value:
-            raise ConnectionNotFound(f"Connection {v.value} not found for node {node.name!r} input {k!r}.")
+            raise ConnectionNotFound(f"Connection {v.value} not found for node {node_name!r} input {k!r}.")
         # Check if type matched
         if not any(type(connection_value).__name__ == typ for typ in conn_types):
             msg = (
-                f"Input '{k}' for node '{node.name}' of type {type(connection_value).__name__!r}"
+                f"Input '{k}' for node '{node_name}' of type {type(connection_value).__name__!r}"
                 f" is not supported, valid types {conn_types}."
             )
             raise NodeInputValidationError(message=msg)
         return connection_value
 
     def _convert_to_custom_strong_type_connection_value(
-        self, k: str, v: InputAssignment, node: Node, tool: Tool, conn_types: List[str], module: types.ModuleType
+        self,
+        k: str,
+        v: InputAssignment,
+        node_name: str,
+        source: ToolSource,
+        tool: Tool,
+        conn_types: List[str],
+        module: types.ModuleType,
     ):
         if not conn_types:
-            msg = f"Input '{k}' for node '{node.name}' has invalid types: {conn_types}."
+            msg = f"Input '{k}' for node '{node_name}' has invalid types: {conn_types}."
             raise NodeInputValidationError(message=msg)
         connection_value = self._connection_manager.get(v.value)
         if not connection_value:
-            raise ConnectionNotFound(f"Connection {v.value} not found for node {node.name!r} input {k!r}.")
+            raise ConnectionNotFound(f"Connection {v.value} not found for node {node_name!r} input {k!r}.")
 
         custom_defined_connection_class_name = conn_types[0]
-        if node.source.type == ToolSourceType.Package:
+        source_type = getattr(source, "type", None)
+        if source_type == ToolSourceType.Package:
             module = tool.module
         return connection_value._convert_to_custom_strong_type(
             module=module, to_class=custom_defined_connection_class_name
@@ -112,52 +128,102 @@ def _convert_to_assistant_definition(self, assistant_definition_path: str, input
         with open(file, "r", encoding="utf-8") as file:
             assistant_definition = load_yaml(file)
         assistant_def = AssistantDefinition.deserialize(assistant_definition)
-        self._resolve_assistant_tool(assistant_def)
+        self._resolve_assistant_tools(node_name, assistant_def)
         return assistant_def
 
-    def _resolve_assistant_tool(self, assistant_definition: AssistantDefinition):
+    def _resolve_assistant_tools(self, node_name: str, assistant_definition: AssistantDefinition):
+        """
+        Resolves AssistantTool from the raw assistant definition.
+
+        The assistant definition is initialized with a path or package to source file.
+        This method loads scripts/module, parses the structure into AssistantTool instances for future invoking.
+        It supports tools of types 'code_interpreter' and 'retrieval' directly and loads 'function' type tools
+        as callable functions. Unsupported tool types raise an exception.
+        """
         resolved_tools = {}
         for tool in assistant_definition.tools:
             if tool["type"] in ("code_interpreter", "retrieval"):
-                resolved_tools[tool["type"]] = AssistantTool(name=tool["type"], openai_definition=tool, func=None)
+                resolved_tools[tool["type"]] = ResolvedAssistantTool(
+                    name=tool["type"], openai_definition=tool, func=None
+                )
             elif tool["type"] == "function":
-                function_tool = self._load_tool_as_function(tool)
+                assistant_tool = AssistantToolResolver.from_dict(tool, node_name)
+                function_tool = self.resolve_function_by_definition(node_name, assistant_tool)
                 resolved_tools[function_tool.name] = function_tool
             else:
-                raise UnsupportedAssistantToolType(
-                    message_format="Unsupported assistant tool type: {tool_type}",
-                    tool_type=tool["type"],
+                raise InvalidAssistantTool(
+                    message_format=(
+                        "Unsupported assistant tool's type in node {node_name} : {type}. "
+                        "Please make sure the type is restricted within "
+                        "['code_interpreter', 'function', 'retrieval']."
+                    ),
+                    type=type,
                     target=ErrorTarget.EXECUTOR,
                 )
+        # Inject the resolved tools into the assistant definition
         assistant_definition._tool_invoker = AssistantToolInvoker(resolved_tools)
 
-    def _load_tool_as_function(self, tool: dict):
-        # Temporary implementation for resolving inner functions or tools within the assistant framework.
-        # Plans are underway to establish dedicated methods for inner function resolution.
-        # It will replace the current approach of creating node to reuse existing node resolution logic.
-        node, predefined_inputs = self._create_node_for_assistant_tool(tool)
-        resolved_tool = self.resolve_tool_by_node(node, convert_input_types=True)
-        func_name = resolved_tool.definition.function
-        definition = self._generate_tool_definition(func_name, resolved_tool.definition.description, predefined_inputs)
-        if resolved_tool.node.inputs:
-            inputs = {name: value.value for name, value in resolved_tool.node.inputs.items()}
-            func = partial(resolved_tool.callable, **inputs)
+    def _resolve_predefined_inputs_type(self, node_name: str, assistant_tool: AssistantTool, tool: Tool):
+        predefined_inputs = {}
+        if assistant_tool.predefined_inputs:
+            for input_name, value in assistant_tool.predefined_inputs.items():
+                predefined_inputs[input_name] = InputAssignment.deserialize(value)
+
+        source = assistant_tool.source
+        updated_predefined_inputs = self._convert_literal_input_types(node_name, source, predefined_inputs, tool)
+        return updated_predefined_inputs
+
+    def _construct_assistant_tool(
+        self, tool: Tool, callable: Callable, predefined_inputs: dict
+    ) -> ResolvedAssistantTool:
+        func_name = tool.function
+        definition = self._generate_tool_definition(func_name, tool.description, predefined_inputs)
+        if predefined_inputs:
+            inputs = {name: value.value for name, value in predefined_inputs.items()}
+            func = partial(callable, **inputs)
         else:
-            func = resolved_tool.callable
-        return AssistantTool(name=func_name, openai_definition=definition, func=func)
+            func = callable
+        return ResolvedAssistantTool(name=func_name, openai_definition=definition, func=func)
 
-    def _create_node_for_assistant_tool(self, tool: dict):
-        predefined_inputs = {}
-        for input_name, value in tool.get("predefined_inputs", {}).items():
-            predefined_inputs[input_name] = InputAssignment.deserialize(value)
-        node = Node(
-            name="assistant_node",
-            tool="assistant_tool",
-            inputs=predefined_inputs,
-            source=ToolSource.deserialize(tool["source"]) if "source" in tool else None,
-            type=ToolType.PYTHON if "tool_type" in tool and tool["tool_type"] == "python" else None,
+    def _load_package_tool_as_function(self, node_name: str, assistant_tool: AssistantTool) -> ResolvedAssistantTool:
+        """Get assistant function from package tool definition."""
+
+        # Step I: construct promptflow Tool object from the source:tool specification
+        source_tool = assistant_tool.source.tool
+        function_package_tool_keys = [source_tool]
+        tool_loader = ToolLoader(self._working_dir, function_package_tool_keys)
+        tool: Tool = tool_loader.load_package_tool(source_tool)
+
+        # Step II: resolve the predefined_inputs if necessary
+        updated_predefined_inputs = self._resolve_predefined_inputs_type(node_name, assistant_tool, tool)
+
+        # Step III: import the package tool and return the callable & init_args
+        callable, init_args = BuiltinsManager._load_package_tool(
+            tool.name, tool.module, tool.class_name, tool.function, updated_predefined_inputs
+        )
+        self._remove_init_args(updated_predefined_inputs, init_args)
+
+        # Step IV: construct the AssistantTool object from the updated predefined_inputs + Tool object
+        return self._construct_assistant_tool(tool, callable, updated_predefined_inputs)
+
+    def _load_script_tool_as_function(self, node_name: str, assistant_tool: AssistantTool) -> ResolvedAssistantTool:
+        """Get assistant function from script tool definition."""
+
+        # Step I: construct promptflow Tool object from the source:path specification
+        source_path = assistant_tool.source.path
+        m, tool = self._tool_loader.load_script_tool(source_path, node_name)
+
+        # Step II: resolve the predefined_inputs if necessary
+        updated_predefined_inputs = self._resolve_predefined_inputs_type(node_name, assistant_tool, tool)
+
+        # Step III: import the python tool and return the callable & init_args
+        callable, init_args = BuiltinsManager._load_tool_from_module(
+            m, tool.name, tool.module, tool.class_name, tool.function, updated_predefined_inputs
         )
-        return node, list(predefined_inputs.keys())
+        self._remove_init_args(updated_predefined_inputs, init_args)
+
+        # Step IV: construct the AssistantTool object from the updated predefined_inputs + Tool object
+        return self._construct_assistant_tool(tool, callable, updated_predefined_inputs)
 
     def _generate_tool_definition(self, func_name: str, description: str, predefined_inputs: list) -> dict:
         try:
@@ -187,10 +253,12 @@ def _generate_tool_definition(self, func_name: str, description: str, predefined
         except Exception as e:
             raise FailedToParseAssistantTool(func_name=func_name) from e
 
-    def _convert_node_literal_input_types(self, node: Node, tool: Tool, module: types.ModuleType = None):
+    def _convert_literal_input_types(
+        self, node_name: str, source: ToolSource, inputs: dict, tool: Tool, module: types.ModuleType = None
+    ):
         updated_inputs = {
             k: v
-            for k, v in node.inputs.items()
+            for k, v in inputs.items()
             if (v.value is not None and v.value != "") or v.value_type != InputValueType.LITERAL
         }
         for k, v in updated_inputs.items():
@@ -204,13 +272,13 @@ def _convert_node_literal_input_types(self, node: Node, tool: Tool, module: type
             if ConnectionType.is_connection_class_name(value_type):
                 if tool_input.custom_type:
                     updated_inputs[k].value = self._convert_to_custom_strong_type_connection_value(
-                        k, v, node, tool, tool_input.custom_type, module=module
+                        k, v, node_name, source, tool, tool_input.custom_type, module=module
                     )
                 else:
-                    updated_inputs[k].value = self._convert_to_connection_value(k, v, node, tool_input.type)
+                    updated_inputs[k].value = self._convert_to_connection_value(k, v, node_name, tool_input.type)
             elif value_type == ValueType.IMAGE:
                 try:
-                    updated_inputs[k].value = create_image(v.value)
+                    updated_inputs[k].value = self._multimedia_processor.create_image(v.value)
                 except Exception as e:
                     error_type_and_message = f"({e.__class__.__name__}) {e}"
                     raise NodeInputValidationError(
@@ -221,7 +289,7 @@ def _convert_node_literal_input_types(self, node: Node, tool: Tool, module: type
                     ) from e
             elif value_type == ValueType.ASSISTANT_DEFINITION:
                 try:
-                    updated_inputs[k].value = self._convert_to_assistant_definition(v.value, k, node.name)
+                    updated_inputs[k].value = self._convert_to_assistant_definition(v.value, k, node_name)
                 except Exception as e:
                     error_type_and_message = f"({e.__class__.__name__}) {e}"
                     raise NodeInputValidationError(
@@ -239,13 +307,15 @@ def _convert_node_literal_input_types(self, node: Node, tool: Tool, module: type
                         message_format="Input '{key}' for node '{node_name}' of value '{value}' is not "
                         "type {value_type}.",
                         key=k,
-                        node_name=node.name,
+                        node_name=node_name,
                         value=v.value,
                         value_type=value_type.value,
                         target=ErrorTarget.EXECUTOR,
                     ) from e
                 try:
-                    updated_inputs[k].value = load_multimedia_data_recursively(updated_inputs[k].value)
+                    updated_inputs[k].value = self._multimedia_processor.load_multimedia_data_recursively(
+                        updated_inputs[k].value
+                    )
                 except Exception as e:
                     error_type_and_message = f"({e.__class__.__name__}) {e}"
                     raise NodeInputValidationError(
@@ -260,8 +330,11 @@ def _convert_node_literal_input_types(self, node: Node, tool: Tool, module: type
                     f"Unresolved input type {value_type!r}, please check if it is supported in current version.",
                     target=ErrorTarget.EXECUTOR,
                 )
+        return updated_inputs
+
+    def _convert_node_literal_input_types(self, node: Node, tool: Tool, module: types.ModuleType = None):
         updated_node = copy.deepcopy(node)
-        updated_node.inputs = updated_inputs
+        updated_node.inputs = self._convert_literal_input_types(node.name, node.source, node.inputs, tool, module)
         return updated_node
 
     def resolve_tool_by_node(self, node: Node, convert_input_types=True) -> ResolvedTool:
@@ -293,6 +366,27 @@ def resolve_tool_by_node(self, node: Node, convert_input_types=True) -> Resolved
                 raise ResolveToolError(node_name=node.name, target=e.target, module=e.module) from e
             raise ResolveToolError(node_name=node.name) from e
 
+    def resolve_function_by_definition(self, node_name: str, tool: AssistantTool) -> ResolvedAssistantTool:
+        try:
+            source_type = tool.source.type
+            if source_type == ToolSourceType.Package:
+                return self._load_package_tool_as_function(node_name, tool)
+            elif source_type == ToolSourceType.Code:
+                return self._load_script_tool_as_function(node_name, tool)
+            raise InvalidAssistantTool(
+                message_format=(
+                    "Tool source type {source_type} is not supported in assistant node '{node_name}'. "
+                    "Please make sure the assistant definition is correct."
+                ),
+                node_name=node_name,
+                source_type=source_type.value,
+                target=ErrorTarget.EXECUTOR,
+            )
+        except Exception as e:
+            if isinstance(e, PromptflowException) and e.target != ErrorTarget.UNKNOWN:
+                raise ResolveToolError(node_name=node_name, target=e.target, module=e.module) from e
+            raise ResolveToolError(node_name=node_name) from e
+
     def _load_source_content(self, node: Node) -> str:
         source = node.source
         # If is_file returns True, the path points to a existing file, so we don't need to check if exists.
@@ -318,7 +412,9 @@ def _load_images_for_prompt_tpl(self, prompt_tpl_inputs_mapping: dict, node_inpu
         for input_name, input in prompt_tpl_inputs_mapping.items():
             if ValueType.IMAGE in input.type and input_name in node_inputs:
                 if node_inputs[input_name].value_type == InputValueType.LITERAL:
-                    node_inputs[input_name].value = create_image(node_inputs[input_name].value)
+                    node_inputs[input_name].value = self._multimedia_processor.create_image(
+                        node_inputs[input_name].value
+                    )
         return node_inputs
 
     def _resolve_prompt_node(self, node: Node) -> ResolvedTool:
@@ -347,7 +443,8 @@ def _get_llm_node_connection(self, node: Node):
         connection = self._connection_manager.get(node.connection)
         if connection is None:
             raise ConnectionNotFound(
-                message_format="Connection of LLM node '{node_name}' is not found.",
+                message_format="Connection '{connection}' of LLM node '{node_name}' is not found.",
+                connection=node.connection,
                 node_name=node.name,
                 target=ErrorTarget.EXECUTOR,
             )
@@ -360,7 +457,8 @@ def _resolve_llm_connection_with_provider(connection):
         # If provider is not specified, try to resolve it from connection type
         connection_type = type(connection).__name__
         if connection_type not in connection_type_to_api_mapping:
-            from promptflow.connections import ServerlessConnection, OpenAIConnection
+            from promptflow.connections import OpenAIConnection, ServerlessConnection
+
             # This is a fallback for the case that ServerlessConnection related tool is not ready
             # in legacy versions, then we can directly use OpenAIConnection.
             if isinstance(connection, ServerlessConnection):
diff --git a/src/promptflow/promptflow/executor/flow_executor.py b/src/promptflow-core/promptflow/executor/flow_executor.py
similarity index 89%
rename from src/promptflow/promptflow/executor/flow_executor.py
rename to src/promptflow-core/promptflow/executor/flow_executor.py
index 7ee57faaf33..bf61e1d9f8f 100644
--- a/src/promptflow/promptflow/executor/flow_executor.py
+++ b/src/promptflow-core/promptflow/executor/flow_executor.py
@@ -8,6 +8,8 @@
 import functools
 import inspect
 import os
+import signal
+import threading
 import uuid
 from pathlib import Path
 from threading import current_thread
@@ -21,7 +23,6 @@
 from promptflow._core.cache_manager import AbstractCacheManager
 from promptflow._core.flow_execution_context import FlowExecutionContext
 from promptflow._core.metric_logger import add_metric_logger, remove_metric_logger
-from promptflow._core.operation_context import OperationContext
 from promptflow._core.run_tracker import RunTracker
 from promptflow._core.tool import STREAMING_OPTION_PARAMETER_ATTR
 from promptflow._core.tools_manager import ToolsManager
@@ -32,12 +33,10 @@
     extract_aggregation_inputs,
     get_aggregation_inputs_properties,
 )
+from promptflow._utils.flow_utils import is_flex_flow
 from promptflow._utils.logger_utils import flow_logger, logger
-from promptflow._utils.multimedia_utils import (
-    load_multimedia_data,
-    load_multimedia_data_recursively,
-    persist_multimedia_data,
-)
+from promptflow._utils.multimedia_utils import MultimediaProcessor
+from promptflow._utils.user_agent_utils import append_promptflow_package_ua
 from promptflow._utils.utils import get_int_env_var, transpose
 from promptflow._utils.yaml_utils import load_yaml
 from promptflow.contracts.flow import Flow, FlowInputDefinition, InputAssignment, InputValueType, Node
@@ -57,7 +56,9 @@
 from promptflow.executor.flow_validator import FlowValidator
 from promptflow.storage import AbstractRunStorage
 from promptflow.storage._run_storage import DefaultRunStorage
-from promptflow.tracing._openai_injector import inject_openai_api
+from promptflow.tracing._integrations._openai_injector import inject_openai_api
+from promptflow.tracing._operation_context import OperationContext
+from promptflow.tracing._start_trace import setup_exporter_from_environ
 from promptflow.tracing._trace import (
     enrich_span_with_context,
     enrich_span_with_input,
@@ -126,10 +127,6 @@ def __init__(
         :param flow_file: The path to the file containing the Flow definition.
         :type flow_file: str or None
         """
-        # Inject OpenAI API to make sure traces and headers injection works and
-        # update OpenAI API configs from environment variables.
-        inject_openai_api()
-
         self._flow = flow
         self._flow_id = flow.id or str(uuid.uuid4())
         self._connections = connections
@@ -164,6 +161,8 @@ def __init__(
         self._completed_idx = None
         # TODO: Improve the experience about configuring node concurrency.
         self._node_concurrency = DEFAULT_CONCURRENCY_BULK
+        self._message_format = flow.message_format
+        self._multimedia_processor = MultimediaProcessor.create(flow.message_format)
 
     @classmethod
     def create(
@@ -177,6 +176,7 @@ def create(
         raise_ex: bool = True,
         node_override: Optional[Dict[str, Dict[str, Any]]] = None,
         line_timeout_sec: Optional[int] = None,
+        init_kwargs: Optional[Dict[str, Any]] = None,
     ) -> "FlowExecutor":
         """Create a new instance of FlowExecutor.
 
@@ -196,18 +196,21 @@ def create(
         :type node_override: Optional[Dict[str, Dict[str, Any]]]
         :param line_timeout_sec: The line timeout in seconds to be used for the flow. Default is LINE_TIMEOUT_SEC.
         :type line_timeout_sec: Optional[int]
+        :param init_kwargs: Class init arguments for callable class, only supported for flex flow.
+        :type init_kwargs: Optional[Dict[str, Any]]
         :return: A new instance of FlowExecutor.
         :rtype: ~promptflow.executor.flow_executor.FlowExecutor
         """
-        if cls._is_eager_flow_yaml(flow_file, working_dir):
+        setup_exporter_from_environ()
+        if is_flex_flow(file_path=flow_file, working_dir=working_dir):
             from ._script_executor import ScriptExecutor
 
             return ScriptExecutor(
-                flow_file=Path(flow_file),
-                working_dir=working_dir,
-                storage=storage,
+                flow_file=Path(flow_file), working_dir=working_dir, storage=storage, init_kwargs=init_kwargs
             )
         else:
+            if init_kwargs:
+                logger.warning(f"Got unexpected init args {init_kwargs} for non-script flow. Ignoring them.")
             flow = Flow.from_yaml(flow_file, working_dir=working_dir)
             return cls._create_from_flow(
                 flow_file=flow_file,
@@ -238,8 +241,9 @@ def _create_from_flow(
         if node_override:
             flow = flow._apply_node_overrides(node_override)
         flow = flow._apply_default_node_variants()
+
         package_tool_keys = [node.source.tool for node in flow.nodes if node.source and node.source.tool]
-        tool_resolver = ToolResolver(working_dir, connections, package_tool_keys)
+        tool_resolver = ToolResolver(working_dir, connections, package_tool_keys, message_format=flow.message_format)
 
         with _change_working_dir(working_dir):
             resolved_tools = [tool_resolver.resolve_tool_by_node(node) for node in flow.nodes]
@@ -250,6 +254,7 @@ def _create_from_flow(
             inputs=flow.inputs,
             outputs=flow.outputs,
             tools=[],
+            message_format=flow.message_format,
         )
         # ensure_flow_valid including validation + resolve
         # Todo: 1) split pure validation + resolve from below method 2) provide completed validation()
@@ -276,16 +281,6 @@ def _create_from_flow(
         logger.debug("The flow executor is initialized successfully.")
         return executor
 
-    @classmethod
-    def _is_eager_flow_yaml(cls, flow_file: Path, working_dir: Optional[Path] = None):
-        if Path(flow_file).suffix.lower() in [".yaml", ".yml"]:
-            flow_file = working_dir / flow_file if working_dir else flow_file
-            with open(flow_file, "r", encoding="utf-8") as fin:
-                flow_dag = load_yaml(fin)
-            if "entry" in flow_dag:
-                return True
-        return False
-
     @classmethod
     def load_and_exec_node(
         cls,
@@ -321,13 +316,28 @@ def load_and_exec_node(
         :param raise_ex: Whether to raise exceptions or not. Default is False.
         :type raise_ex: Optional[bool]
         """
-        # Inject OpenAI API to make sure traces and headers injection works and
-        # update OpenAI API configs from environment variables.
-        inject_openai_api()
 
-        OperationContext.get_instance().run_mode = RunMode.SingleNode.name
-        dependency_nodes_outputs = dependency_nodes_outputs or {}
+        @contextlib.contextmanager
+        def update_operation_context():
+            operation_context = OperationContext.get_instance()
+            original_context = operation_context.copy()
+            try:
+                append_promptflow_package_ua(operation_context)
+                operation_context.set_default_tracing_keys({"run_mode", "root_run_id", "flow_id", "batch_input_source"})
+                operation_context["run_mode"] = RunMode.SingleNode.name
+                # Inject OpenAI API to make sure traces and headers injection works and
+                # update OpenAI API configs from environment variables.
+                inject_openai_api()
+                yield
+            finally:
+                OperationContext.set_instance(original_context)
+
+        # Register signal handler for SIGINT and SIGTERM to cancel the single node run.
+        if threading.current_thread() is threading.main_thread():
+            signal.signal(signal.SIGINT, signal_handler)
+            signal.signal(signal.SIGTERM, signal_handler)
 
+        dependency_nodes_outputs = dependency_nodes_outputs or {}
         # Load the node from the flow file
         working_dir = Flow._resolve_working_dir(flow_file, working_dir)
         with open(working_dir / flow_file, "r") as fin:
@@ -359,10 +369,12 @@ def load_and_exec_node(
         converted_flow_inputs_for_node = FlowValidator.convert_flow_inputs_for_node(
             flow, node, inputs_with_default_value
         )
-        inputs = load_multimedia_data(node_referenced_flow_inputs, converted_flow_inputs_for_node)
-        dependency_nodes_outputs = load_multimedia_data_recursively(dependency_nodes_outputs)
+
+        multimedia_processor = MultimediaProcessor.create(flow.message_format)
+        inputs = multimedia_processor.load_multimedia_data(node_referenced_flow_inputs, converted_flow_inputs_for_node)
+        dependency_nodes_outputs = multimedia_processor.load_multimedia_data_recursively(dependency_nodes_outputs)
         package_tool_keys = [node.source.tool] if node.source and node.source.tool else []
-        tool_resolver = ToolResolver(working_dir, connections, package_tool_keys)
+        tool_resolver = ToolResolver(working_dir, connections, package_tool_keys, message_format=flow.message_format)
         resolved_node = tool_resolver.resolve_tool_by_node(node)
 
         # Prepare callable and real inputs here
@@ -387,13 +399,15 @@ def load_and_exec_node(
         if storage is None:
             sub_dir = "." if output_sub_dir is None else output_sub_dir
             storage = DefaultRunStorage(base_dir=working_dir, sub_dir=Path(sub_dir))
+
         run_tracker = RunTracker(storage)
-        with run_tracker.node_log_manager:
+        with run_tracker.node_log_manager, update_operation_context():
             # Will generate node run in context
             context = FlowExecutionContext(
                 name=flow.name,
                 run_tracker=run_tracker,
                 cache_manager=AbstractCacheManager.init_from_env(),
+                message_format=flow.message_format,
             )
 
             try:
@@ -403,6 +417,8 @@ def load_and_exec_node(
                     )
                 else:
                     context.invoke_tool(resolved_node.node, resolved_node.callable, kwargs=resolved_inputs)
+            except KeyboardInterrupt:
+                run_tracker.cancel_node_runs()
             except Exception:
                 if raise_ex:  # Only raise exception when raise_ex is True
                     raise
@@ -428,7 +444,7 @@ def update_environment_variables_with_connections(connections: dict):
         :return: A dictionary containing updated environment variables.
         :rtype: dict
         """
-        from promptflow._sdk._utils import update_environment_variables_with_connections
+        from promptflow.core._utils import update_environment_variables_with_connections
 
         return update_environment_variables_with_connections(connections)
 
@@ -600,13 +616,15 @@ def _exec_aggregation(
             return AggregationResult({}, {}, {})
         run_id = run_id or str(uuid.uuid4())
         nodes = [copy.deepcopy(node) for node in self._flow.nodes if node.aggregation]
+        # Load multimedia data from aggregation_inputs
+        aggregation_inputs = self._multimedia_processor.load_multimedia_data_recursively(aggregation_inputs)
         # Update the inputs of the aggregation nodes with the aggregation inputs.
         for node in nodes:
             node.inputs = {
                 k: FlowExecutor._try_get_aggregation_input(v, aggregation_inputs) for k, v in node.inputs.items()
             }
         # Load multimedia data for the flow inputs of aggregation nodes.
-        inputs = load_multimedia_data(self._flow.inputs, inputs)
+        inputs = self._multimedia_processor.load_multimedia_data(self._flow.inputs, inputs)
 
         # TODO: Use a new run tracker to avoid memory increase infinitely.
         run_tracker = self._run_tracker
@@ -616,6 +634,7 @@ def _exec_aggregation(
             cache_manager=self._cache_manager,
             run_id=run_id,
             flow_id=self._flow_id,
+            message_format=self._message_format,
         )
         metrics = {}
 
@@ -625,16 +644,17 @@ def _log_metric(key, value):
         add_metric_logger(_log_metric)
         try:
             self._submit_to_scheduler(context, inputs, nodes)
-            node_run_infos = run_tracker.collect_child_node_runs(run_id)
-            # Output is set as an empty dict, because the aggregation outputs story is not finalized.
-            return AggregationResult({}, metrics, {run.node: run for run in node_run_infos})
+        except KeyboardInterrupt:
+            # Cancel all the running node runs if receiving KeyboardInterrupt.
+            run_tracker.cancel_node_runs(run_id)
         except Exception:
             if self._raise_ex:
                 raise
-            node_run_infos = run_tracker.collect_child_node_runs(run_id)
-            return AggregationResult({}, metrics, {run.node: run for run in node_run_infos})
         finally:
             remove_metric_logger(_log_metric)
+        node_run_infos = run_tracker.collect_child_node_runs(run_id)
+        # Output is set as an empty dict, because the aggregation outputs story is not finalized.
+        return AggregationResult({}, metrics, {run.node: run for run in node_run_infos})
 
     def exec(self, inputs: dict, node_concurrency=DEFAULT_CONCURRENCY_FLOW) -> dict:
         """Executes the flow with the given inputs and returns the output.
@@ -654,13 +674,11 @@ def exec(self, inputs: dict, node_concurrency=DEFAULT_CONCURRENCY_FLOW) -> dict:
         return result.output or {}
 
     def _exec_in_thread(self, args) -> LineResult:
-        inputs, run_id, line_number, variant_id, validate_inputs = args
+        inputs, run_id, line_number, validate_inputs = args
         thread_name = current_thread().name
         self._processing_idx[line_number] = thread_name
         self._run_tracker._activate_in_context()
-        results = self._exec(
-            inputs, run_id=run_id, line_number=line_number, variant_id=variant_id, validate_inputs=validate_inputs
-        )
+        results = self._exec(inputs, run_id=run_id, line_number=line_number, validate_inputs=validate_inputs)
         self._run_tracker._deactivate_in_context()
         self._processing_idx.pop(line_number)
         self._completed_idx[line_number] = thread_name
@@ -671,7 +689,6 @@ def exec_line(
         inputs: Mapping[str, Any],
         index: Optional[int] = None,
         run_id: Optional[str] = None,
-        variant_id: str = "",
         validate_inputs: bool = True,
         node_concurrency=DEFAULT_CONCURRENCY_FLOW,
         allow_generator_output: bool = False,
@@ -685,8 +702,6 @@ def exec_line(
         :type index: Optional[int]
         :param run_id: The ID of the flow run.
         :type run_id: Optional[str]
-        :param variant_id: The ID of the variant to execute.
-        :type variant_id: str
         :param validate_inputs: Whether to validate the input values.
         :type validate_inputs: bool
         :param node_concurrency: The maximum number of nodes that can be executed concurrently.
@@ -713,7 +728,6 @@ def exec_line(
                     inputs,
                     run_id=run_id,
                     line_number=index,
-                    variant_id=variant_id,
                     validate_inputs=validate_inputs,
                     allow_generator_output=allow_generator_output,
                 )
@@ -727,7 +741,6 @@ async def exec_line_async(
         inputs: Mapping[str, Any],
         index: Optional[int] = None,
         run_id: Optional[str] = None,
-        variant_id: str = "",
         validate_inputs: bool = True,
         node_concurrency=DEFAULT_CONCURRENCY_FLOW,
         allow_generator_output: bool = False,
@@ -740,8 +753,6 @@ async def exec_line_async(
         :type index: Optional[int]
         :param run_id: The ID of the flow run.
         :type run_id: Optional[str]
-        :param variant_id: The ID of the variant to execute.
-        :type variant_id: str
         :param validate_inputs: Whether to validate the input values.
         :type validate_inputs: bool
         :param node_concurrency: The maximum number of nodes that can be executed concurrently.
@@ -763,7 +774,6 @@ async def exec_line_async(
                 inputs,
                 run_id=run_id,
                 line_number=index,
-                variant_id=variant_id,
                 validate_inputs=validate_inputs,
                 allow_generator_output=allow_generator_output,
             )
@@ -775,6 +785,7 @@ async def exec_line_async(
     @contextlib.contextmanager
     def _update_operation_context(self, run_id: str, line_number: int):
         operation_context = OperationContext.get_instance()
+        original_context = operation_context.copy()
         original_mode = operation_context.get("run_mode", None)
         values_for_context = {"flow_id": self._flow_id, "root_run_id": run_id}
         if original_mode == RunMode.Batch.name:
@@ -785,19 +796,18 @@ def _update_operation_context(self, run_id: str, line_number: int):
         else:
             values_for_otel = {"line_run_id": run_id}
         try:
+            append_promptflow_package_ua(operation_context)
+            operation_context.set_default_tracing_keys({"run_mode", "root_run_id", "flow_id", "batch_input_source"})
             operation_context.run_mode = original_mode or RunMode.Test.name
             operation_context.update(values_for_context)
             for k, v in values_for_otel.items():
                 operation_context._add_otel_attributes(k, v)
+            # Inject OpenAI API to make sure traces and headers injection works and
+            # update OpenAI API configs from environment variables.
+            inject_openai_api()
             yield
         finally:
-            for k in values_for_context:
-                operation_context.pop(k)
-            operation_context._remove_otel_attributes(values_for_otel.keys())
-            if original_mode is None:
-                operation_context.pop("run_mode")
-            else:
-                operation_context.run_mode = original_mode
+            OperationContext.set_instance(original_context)
 
     def _add_line_results(self, line_results: List[LineResult], run_tracker: Optional[RunTracker] = None):
         run_tracker = run_tracker or self._run_tracker
@@ -832,6 +842,8 @@ def _exec_inner_with_trace(
         allow_generator_output=False,
     ):
         with open_telemetry_tracer.start_as_current_span(self._flow.name) as span:
+            # Store otel trace id in context for correlation
+            OperationContext.get_instance()["otel_trace_id"] = f"{span.get_span_context().trace_id:032x}"
             # initialize span
             span.set_attributes(
                 {
@@ -868,7 +880,7 @@ def _exec_inner(
     ):
         if validate_inputs:
             inputs = FlowValidator.ensure_flow_inputs_type(flow=self._flow, inputs=inputs, idx=run_info.index)
-        inputs = load_multimedia_data(self._flow.inputs, inputs)
+        inputs = self._multimedia_processor.load_multimedia_data(self._flow.inputs, inputs)
         # Inputs are assigned after validation and multimedia data loading, instead of at the start of the flow run.
         # This way, if validation or multimedia data loading fails, we avoid persisting invalid inputs.
         run_info.inputs = inputs
@@ -889,7 +901,6 @@ def _exec(
         inputs: Mapping[str, Any],
         run_id: Optional[str] = None,
         line_number: Optional[int] = None,
-        variant_id: str = "",
         validate_inputs: bool = False,
         allow_generator_output: bool = False,
     ) -> LineResult:
@@ -922,7 +933,7 @@ def _exec(
             run_id=line_run_id,
             parent_run_id=run_id,
             index=line_number,
-            variant_id=variant_id,
+            message_format=self._message_format,
         )
         context = FlowExecutionContext(
             name=self._flow.name,
@@ -931,7 +942,7 @@ def _exec(
             run_id=run_id,
             flow_id=self._flow_id,
             line_number=line_number,
-            variant_id=variant_id,
+            message_format=self._message_format,
         )
         output = {}
         aggregation_inputs = {}
@@ -949,10 +960,14 @@ def _exec(
             # KeyboardInterrupt will be raised after asyncio finishes its signal handling
             # End run with the KeyboardInterrupt exception, so that its status will be Canceled
             flow_logger.info("Received KeyboardInterrupt, cancel the run.")
+            # Update the run info of those running nodes to a canceled status.
+            run_tracker.cancel_node_runs(run_id)
+            run_tracker.end_run(line_run_id, ex=ex)
+            # If async execution is enabled, ignore this exception and return the partial line results.
+            if not self._should_use_async():
+                raise
+        except Exception as ex:
             run_tracker.end_run(line_run_id, ex=ex)
-            raise
-        except Exception as e:
-            run_tracker.end_run(line_run_id, ex=e)
             if self._raise_ex:
                 raise
         finally:
@@ -967,7 +982,6 @@ async def _exec_async(
         inputs: Mapping[str, Any],
         run_id: Optional[str] = None,
         line_number: Optional[int] = None,
-        variant_id: str = "",
         validate_inputs: bool = False,
         allow_generator_output: bool = False,
     ) -> LineResult:
@@ -1002,7 +1016,7 @@ async def _exec_async(
             parent_run_id=run_id,
             inputs={k: inputs[k] for k in self._flow.inputs if k in inputs},
             index=line_number,
-            variant_id=variant_id,
+            message_format=self._message_format,
         )
         context = FlowExecutionContext(
             name=self._flow.name,
@@ -1011,7 +1025,7 @@ async def _exec_async(
             run_id=run_id,
             flow_id=self._flow_id,
             line_number=line_number,
-            variant_id=variant_id,
+            message_format=self._message_format,
         )
         output = {}
         aggregation_inputs = {}
@@ -1019,7 +1033,7 @@ async def _exec_async(
             if validate_inputs:
                 inputs = FlowValidator.ensure_flow_inputs_type(flow=self._flow, inputs=inputs, idx=line_number)
             # TODO: Consider async implementation for load_multimedia_data
-            inputs = load_multimedia_data(self._flow.inputs, inputs)
+            inputs = self._multimedia_processor.load_multimedia_data(self._flow.inputs, inputs)
             # Make sure the run_info with converted inputs results rather than original inputs
             run_info.inputs = inputs
             output, nodes_outputs = await self._traverse_nodes_async(inputs, context)
@@ -1040,6 +1054,8 @@ async def _exec_async(
             # KeyboardInterrupt will be raised after asyncio finishes its signal handling
             # End run with the KeyboardInterrupt exception, so that its status will be Canceled
             flow_logger.info("Received KeyboardInterrupt, cancel the run.")
+            # Update the run info of those running nodes to a canceled status.
+            run_tracker.cancel_node_runs(run_id)
             run_tracker.end_run(line_run_id, ex=ex)
             raise
         except Exception as e:
@@ -1117,13 +1133,7 @@ def _traverse_nodes(self, inputs, context: FlowExecutionContext) -> Tuple[dict,
         batch_nodes = [node for node in self._flow.nodes if not node.aggregation]
         outputs = {}
         #  TODO: Use a mixed scheduler to support both async and thread pool mode.
-        if self._should_use_async():
-            flow_logger.info("Start executing nodes in async mode.")
-            scheduler = AsyncNodesScheduler(self._tools_manager, self._node_concurrency)
-            nodes_outputs, bypassed_nodes = asyncio.run(scheduler.execute(batch_nodes, inputs, context))
-        else:
-            flow_logger.info("Start executing nodes in thread pool mode.")
-            nodes_outputs, bypassed_nodes = self._submit_to_scheduler(context, inputs, batch_nodes)
+        nodes_outputs, bypassed_nodes = self._submit_to_scheduler(context, inputs, batch_nodes)
         outputs = self._extract_outputs(nodes_outputs, bypassed_nodes, inputs)
         return outputs, nodes_outputs
 
@@ -1153,13 +1163,14 @@ def _submit_to_scheduler(self, context: FlowExecutionContext, inputs, nodes: Lis
                 ),
                 current_value=self._node_concurrency,
             )
-        return FlowNodesScheduler(
-            self._tools_manager,
-            inputs,
-            nodes,
-            self._node_concurrency,
-            context,
-        ).execute(self._line_timeout_sec)
+        if self._should_use_async():
+            flow_logger.info("Start executing nodes in async mode.")
+            scheduler = AsyncNodesScheduler(self._tools_manager, self._node_concurrency)
+            return asyncio.run(scheduler.execute(nodes, inputs, context))
+        else:
+            flow_logger.info("Start executing nodes in thread pool mode.")
+            scheduler = FlowNodesScheduler(self._tools_manager, inputs, nodes, self._node_concurrency, context)
+            return scheduler.execute(self._line_timeout_sec)
 
     @staticmethod
     def apply_inputs_mapping(
@@ -1325,16 +1336,18 @@ def execute_flow(
     flow_executor = FlowExecutor.create(flow_file, connections, working_dir, raise_ex=False, **kwargs)
     flow_executor.enable_streaming_for_llm_flow(lambda: enable_stream_output)
     with _change_working_dir(working_dir):
-        # execute nodes in the flow except the aggregation nodes
+        # Execute nodes in the flow except the aggregation nodes
         # TODO: remove index=0 after UX no longer requires a run id similar to batch runs
         # (run_id_index, eg. xxx_0) for displaying the interface
         line_result = flow_executor.exec_line(
             inputs, index=0, allow_generator_output=allow_generator_output, run_id=run_id
         )
         # persist the output to the output directory
-        line_result.output = persist_multimedia_data(line_result.output, base_dir=working_dir, sub_dir=output_dir)
+        line_result.output = flow_executor._multimedia_processor.persist_multimedia_data(
+            line_result.output, base_dir=working_dir, sub_dir=output_dir
+        )
         if run_aggregation and line_result.aggregation_inputs:
-            # convert inputs of aggregation to list type
+            # Convert inputs of aggregation to list type
             flow_inputs = {k: [v] for k, v in inputs.items()}
             aggregation_inputs = {k: [v] for k, v in line_result.aggregation_inputs.items()}
             aggregation_results = flow_executor.exec_aggregation(
@@ -1342,7 +1355,19 @@ def execute_flow(
             )
             line_result.node_run_infos = {**line_result.node_run_infos, **aggregation_results.node_run_infos}
             line_result.run_info.metrics = aggregation_results.metrics
+            # The aggregation inputs of line results is not utilized in the flow test. So we set it into None.
+            line_result.aggregation_inputs = None
         if isinstance(line_result.output, dict):
             # remove line_number from output
             line_result.output.pop(LINE_NUMBER_KEY, None)
         return line_result
+
+
+def signal_handler(sig, frame):
+    """Handle the terminate signal received by the process.
+
+    Currently, only the single node run use this handler. We print the log and raise a
+    KeyboardInterrupt so that external code can catch this exception and cancel the running node."
+    """
+    logger.info(f"Received signal {sig}({signal.Signals(sig).name}), will terminate the current process.")
+    raise KeyboardInterrupt
diff --git a/src/promptflow/promptflow/executor/flow_validator.py b/src/promptflow-core/promptflow/executor/flow_validator.py
similarity index 100%
rename from src/promptflow/promptflow/executor/flow_validator.py
rename to src/promptflow-core/promptflow/executor/flow_validator.py
diff --git a/src/promptflow/promptflow/integrations/__init__.py b/src/promptflow-core/promptflow/integrations/__init__.py
similarity index 100%
rename from src/promptflow/promptflow/integrations/__init__.py
rename to src/promptflow-core/promptflow/integrations/__init__.py
diff --git a/src/promptflow/promptflow/integrations/langchain.py b/src/promptflow-core/promptflow/integrations/langchain.py
similarity index 100%
rename from src/promptflow/promptflow/integrations/langchain.py
rename to src/promptflow-core/promptflow/integrations/langchain.py
diff --git a/src/promptflow/promptflow/storage/__init__.py b/src/promptflow-core/promptflow/storage/__init__.py
similarity index 100%
rename from src/promptflow/promptflow/storage/__init__.py
rename to src/promptflow-core/promptflow/storage/__init__.py
diff --git a/src/promptflow/promptflow/storage/_cache_storage.py b/src/promptflow-core/promptflow/storage/_cache_storage.py
similarity index 100%
rename from src/promptflow/promptflow/storage/_cache_storage.py
rename to src/promptflow-core/promptflow/storage/_cache_storage.py
diff --git a/src/promptflow/promptflow/storage/_errors.py b/src/promptflow-core/promptflow/storage/_errors.py
similarity index 100%
rename from src/promptflow/promptflow/storage/_errors.py
rename to src/promptflow-core/promptflow/storage/_errors.py
diff --git a/src/promptflow-core/promptflow/storage/_queue_run_storage.py b/src/promptflow-core/promptflow/storage/_queue_run_storage.py
new file mode 100644
index 00000000000..8f636fed072
--- /dev/null
+++ b/src/promptflow-core/promptflow/storage/_queue_run_storage.py
@@ -0,0 +1,49 @@
+# ---------------------------------------------------------
+# Copyright (c) Microsoft Corporation. All rights reserved.
+# ---------------------------------------------------------
+
+from multiprocessing import Queue
+from pathlib import Path
+
+from promptflow._constants import OutputsFolderName
+from promptflow._utils.multimedia_utils import MultimediaProcessor
+from promptflow.contracts.run_info import FlowRunInfo
+from promptflow.contracts.run_info import RunInfo as NodeRunInfo
+from promptflow.storage import AbstractRunStorage
+
+
+class QueueRunStorage(AbstractRunStorage):
+    """This storage is used in line_execution_process_pool, where the run infos are put into the
+    output queue when the flow is executed, and waiting for the monitoring thread to process it.
+    """
+
+    def __init__(self, queue: Queue):
+        self.queue = queue
+
+    def persist_node_run(self, run_info: NodeRunInfo):
+        self.queue.put(run_info)
+
+    def persist_flow_run(self, run_info: FlowRunInfo):
+        self.queue.put(run_info)
+
+
+class ServiceQueueRunStorage(QueueRunStorage):
+    """This storage persist multimedia data after run info is put into the output queue."""
+
+    def __init__(self, queue: Queue, output_dir: Path):
+        super().__init__(queue)
+        self._flow_outputs_path = output_dir / OutputsFolderName.FLOW_OUTPUTS
+        self._flow_artifacts_path = output_dir / OutputsFolderName.FLOW_ARTIFACTS
+        self._node_artifacts_path = output_dir / OutputsFolderName.NODE_ARTIFACTS
+
+    def persist_node_run(self, run_info: NodeRunInfo):
+        super().persist_node_run(run_info)
+        node_folder = self._node_artifacts_path / str(run_info.index) / run_info.node
+        multimedia_processor = MultimediaProcessor.create(run_info.message_format)
+        multimedia_processor.process_multimedia_in_run_info(run_info, node_folder)
+
+    def persist_flow_run(self, run_info: FlowRunInfo):
+        super().persist_flow_run(run_info)
+        flow_folder = self._flow_artifacts_path / str(run_info.index)
+        multimedia_processor = MultimediaProcessor.create(run_info.message_format)
+        multimedia_processor.process_multimedia_in_run_info(run_info, flow_folder)
diff --git a/src/promptflow/promptflow/storage/_run_storage.py b/src/promptflow-core/promptflow/storage/_run_storage.py
similarity index 88%
rename from src/promptflow/promptflow/storage/_run_storage.py
rename to src/promptflow-core/promptflow/storage/_run_storage.py
index 5a1dcf85cca..c81e942b9d8 100644
--- a/src/promptflow/promptflow/storage/_run_storage.py
+++ b/src/promptflow-core/promptflow/storage/_run_storage.py
@@ -2,12 +2,10 @@
 # Copyright (c) Microsoft Corporation. All rights reserved.
 # ---------------------------------------------------------
 
-from functools import partial
 from pathlib import Path
 from typing import Union
 
-from promptflow._utils.multimedia_utils import _process_recursively, get_file_reference_encoder
-from promptflow.contracts.multimedia import Image
+from promptflow._utils.multimedia_utils import MultimediaProcessor
 from promptflow.contracts.run_info import FlowRunInfo
 from promptflow.contracts.run_info import RunInfo as NodeRunInfo
 
@@ -78,15 +76,16 @@ def persist_run_info(self, run_info: Union[FlowRunInfo, NodeRunInfo]):
         :param run_info: The run info of the node or flow.
         :type run_info: ~promptflow.contracts.run_info.RunInfo or ~promptflow.contracts.run_info.FlowRunInfo
         """
+        multimedia_processor = MultimediaProcessor.create(run_info.message_format)
         # Persist and convert images in inputs to path dictionaries.
         # This replaces any image objects with their corresponding file path dictionaries.
         if run_info.inputs:
-            run_info.inputs = self._persist_and_convert_images_to_path_dicts(run_info.inputs)
+            run_info.inputs = self._persist_and_convert_images_to_path_dicts(multimedia_processor, run_info.inputs)
 
         # Persist and convert images in output to path dictionaries.
         # This replaces any image objects with their corresponding file path dictionaries.
         if run_info.output:
-            serialized_output = self._persist_and_convert_images_to_path_dicts(run_info.output)
+            serialized_output = self._persist_and_convert_images_to_path_dicts(multimedia_processor, run_info.output)
             run_info.output = serialized_output
             run_info.result = serialized_output
 
@@ -96,7 +95,9 @@ def persist_run_info(self, run_info: Union[FlowRunInfo, NodeRunInfo]):
         # consumed. It is crucial to process the api_calls list in place to avoid losing the reference to the list that
         # holds the generator items, which is essential for tracing generator execution.
         if run_info.api_calls:
-            run_info.api_calls = self._persist_and_convert_images_to_path_dicts(run_info.api_calls, inplace=True)
+            run_info.api_calls = self._persist_and_convert_images_to_path_dicts(
+                multimedia_processor, run_info.api_calls, inplace=True
+            )
 
     def persist_node_run(self, run_info: NodeRunInfo):
         """Persist the multimedia data in node run info after the node is executed.
@@ -116,7 +117,9 @@ def persist_flow_run(self, run_info: FlowRunInfo):
         """
         self.persist_run_info(run_info)
 
-    def _persist_and_convert_images_to_path_dicts(self, value, inplace=False):
+    def _persist_and_convert_images_to_path_dicts(
+        self, multimedia_processor: MultimediaProcessor, value, inplace=False
+    ):
         """Persist image objects within a Python object to disk and convert them to path dictionaries.
 
         This function recursively processes a given Python object, which can be a list, a dictionary, or a nested
@@ -138,12 +141,6 @@ def _persist_and_convert_images_to_path_dicts(self, value, inplace=False):
                  the conversions.
         :rtype: Any
         """
-        if self._base_dir:
-            pfbytes_file_reference_encoder = get_file_reference_encoder(
-                folder_path=self._base_dir,
-                relative_path=self._sub_dir,
-            )
-        else:
-            pfbytes_file_reference_encoder = None
-        serialization_funcs = {Image: partial(Image.serialize, **{"encoder": pfbytes_file_reference_encoder})}
-        return _process_recursively(value, process_funcs=serialization_funcs, inplace=inplace)
+        return multimedia_processor.persist_multimedia_data(
+            value, base_dir=self._base_dir, sub_dir=self._sub_dir, inplace=inplace
+        )
diff --git a/src/promptflow/promptflow/storage/run_records.py b/src/promptflow-core/promptflow/storage/run_records.py
similarity index 98%
rename from src/promptflow/promptflow/storage/run_records.py
rename to src/promptflow-core/promptflow/storage/run_records.py
index da33e4eb4cd..b794854eb85 100644
--- a/src/promptflow/promptflow/storage/run_records.py
+++ b/src/promptflow-core/promptflow/storage/run_records.py
@@ -6,8 +6,8 @@
 from dataclasses import asdict, dataclass
 from datetime import datetime
 
-from promptflow._utils.dataclass_serializer import serialize
 from promptflow.contracts.run_info import FlowRunInfo, RunInfo
+from promptflow.tracing._utils import serialize
 
 
 @dataclass
diff --git a/src/promptflow-core/pyproject.toml b/src/promptflow-core/pyproject.toml
new file mode 100644
index 00000000000..e6535cb5c32
--- /dev/null
+++ b/src/promptflow-core/pyproject.toml
@@ -0,0 +1,135 @@
+[tool.poetry]
+name = "promptflow-core"
+version = "1.1.0.dev0"
+description = "Prompt flow core"
+include = [
+  "promptflow/core/_serving/static/*",
+  "promptflow/core/_serving/resources/*",
+  "promptflow/_core/data/tool.schema.json",
+]
+
+license = "MIT"
+
+authors = [
+  "Microsoft Corporation <aml-pt-eng@microsoft.com>"
+]
+
+repository = "https://github.com/microsoft/promptflow"
+homepage = "https://microsoft.github.io/promptflow/"
+
+readme = ["README.md"]
+keywords = ["core"]
+
+classifiers = [
+  "Programming Language :: Python",
+  "Programming Language :: Python :: 3",
+  "Programming Language :: Python :: 3 :: Only",
+  "Programming Language :: Python :: 3.8",
+  "Programming Language :: Python :: 3.9",
+  "Programming Language :: Python :: 3.10",
+  "Programming Language :: Python :: 3.11",
+  "License :: OSI Approved :: MIT License",
+  "Operating System :: OS Independent",
+]
+
+packages = [
+  { include = "promptflow" }
+]
+
+[tool.poetry.urls]
+"Bug Reports" = "https://github.com/microsoft/promptflow/issues"
+
+[tool.poetry.dependencies]
+python = "<4.0,>=3.8"
+promptflow-tracing = ">=1.0.0,<2.0.0"
+"ruamel.yaml" = ">=0.17.10,<1.0.0"  # used to generate connection templates with preserved comments
+docutils = "*"  # used to generate description for tools
+psutil = "*"  # promptflow/_utils/process_utils.py
+jsonschema = ">=4.0.0,<5.0.0"  # used to validate tool
+filetype = ">=1.2.0"  # used to detect the mime type for multi-media input
+flask = ">=2.2.3,<4.0.0"  # Serving endpoint requirements
+python-dateutil = ">=2.1.0,<3.0.0"  # Contracts RunInfo
+# ========executor-service dependencies========
+fastapi = ">=0.109.0,<1.0.0" # used to build web executor server
+# ========azureml-serving dependencies========
+# AzureML connection dependencies
+azure-identity = ">=1.12.0,<2.0.0"
+azure-ai-ml = ">=1.14.0,<2.0.0"
+# MDC dependencies for monitoring
+azureml-ai-monitoring = ">=0.1.0b3,<1.0.0"
+
+[tool.poetry.extras]
+executor-service = ["fastapi"]
+azureml-serving = ["azure-identity", "azure-ai-ml", "azureml-ai-monitoring"]
+
+[tool.poetry.group.dev.dependencies]
+pre-commit = "*"
+import-linter = "*"
+
+[tool.poetry.group.test.dependencies]
+pytest = "*"
+pytest-cov = "*"
+pytest-xdist = "*"
+
+[build-system]
+requires = [
+  "poetry-core>=1.5.0",
+]
+build-backend = "poetry.core.masonry.api"
+
+[tool.pytest.ini_options]
+markers = [
+  "unittest",
+  "e2etest",
+]
+# junit - analyse and publish test results (https://github.com/EnricoMi/publish-unit-test-result-action)
+# durations - list the slowest test durations
+addopts = """
+--junit-xml=test-results.xml \
+--dist loadfile \
+--log-level=info \
+--log-format="%(asctime)s %(levelname)s %(message)s" \
+--log-date-format="[%Y-%m-%d %H:%M:%S]" \
+--durations=5 \
+-ra \
+-vv
+"""
+testpaths = ["tests"]
+
+[tool.coverage.run]
+concurrency = ["multiprocessing"]
+source = ["promptflow"]
+omit = [
+  "__init__.py",
+]
+
+[tool.black]
+line-length = 120
+
+[tool.importlinter]
+root_package = "promptflow"
+include_external_packages = "True"
+
+[[tool.importlinter.contracts]]
+name = "Contract forbidden modules"
+type = "forbidden"
+source_modules = [
+  "promptflow.core",
+  "promptflow._core",
+  "promptflow._utils",
+  "promptflow.connections",
+  "promptflow.contracts",
+  "promptflow.executor",
+  "promptflow.integrations",
+  "promptflow.storage"]
+forbidden_modules = [
+  "promptflow._cli",
+  "promptflow._internal",
+  "promptflow._proxy",
+  "promptflow._sdk",
+  "promptflow.batch",
+  "promptflow.client",
+  "promptflow.entities",
+  "promptflow.operations",
+  "promptflow.azure"
+]
diff --git a/src/promptflow/tests/executor/unittests/processpool/__init__.py b/src/promptflow-core/tests/__init__.py
similarity index 100%
rename from src/promptflow/tests/executor/unittests/processpool/__init__.py
rename to src/promptflow-core/tests/__init__.py
diff --git a/src/promptflow-core/tests/conftest.py b/src/promptflow-core/tests/conftest.py
new file mode 100644
index 00000000000..be65f32bf19
--- /dev/null
+++ b/src/promptflow-core/tests/conftest.py
@@ -0,0 +1,15 @@
+from pathlib import Path
+
+TEST_CONFIG_ROOT = Path(__file__).parent.parent.parent / "promptflow" / "tests" / "test_configs"
+FLOW_ROOT = TEST_CONFIG_ROOT / "flows"
+EAGER_FLOW_ROOT = TEST_CONFIG_ROOT / "eager_flows"
+
+
+def get_flow_folder(folder_name, root: str = FLOW_ROOT) -> Path:
+    flow_folder_path = Path(root) / folder_name
+    return flow_folder_path
+
+
+def get_yaml_file(folder_name, root: str = FLOW_ROOT, file_name: str = "flow.dag.yaml") -> Path:
+    yaml_file = get_flow_folder(folder_name, root) / file_name
+    return yaml_file
diff --git a/src/promptflow-core/tests/core/__init__.py b/src/promptflow-core/tests/core/__init__.py
new file mode 100644
index 00000000000..e69de29bb2d
diff --git a/src/promptflow-core/tests/core/e2etests/__init__.py b/src/promptflow-core/tests/core/e2etests/__init__.py
new file mode 100644
index 00000000000..e69de29bb2d
diff --git a/src/promptflow-core/tests/core/e2etests/test_eager_flow.py b/src/promptflow-core/tests/core/e2etests/test_eager_flow.py
new file mode 100644
index 00000000000..a6f0aebd3a0
--- /dev/null
+++ b/src/promptflow-core/tests/core/e2etests/test_eager_flow.py
@@ -0,0 +1,99 @@
+from dataclasses import is_dataclass
+
+import pytest
+
+from promptflow._core.tool_meta_generator import PythonLoadError
+from promptflow.contracts.run_info import Status
+from promptflow.executor._errors import FlowEntryInitializationError
+from promptflow.executor._result import LineResult
+from promptflow.executor._script_executor import ScriptExecutor
+from promptflow.executor.flow_executor import FlowExecutor
+
+from ...conftest import EAGER_FLOW_ROOT, get_yaml_file
+
+SAMPLE_FLOW = "web_classification_no_variants"
+SAMPLE_EVAL_FLOW = "classification_accuracy_evaluation"
+SAMPLE_FLOW_WITH_PARTIAL_FAILURE = "python_tool_partial_failure"
+
+
+@pytest.mark.e2etest
+class TestEagerFlow:
+    @pytest.mark.parametrize(
+        "flow_folder, inputs, ensure_output, init_kwargs",
+        [
+            ("dummy_flow_with_trace", {"text": "text", "models": ["model"]}, lambda x: x == "dummy_output", None),
+            (
+                "flow_with_dataclass_output",
+                {"text": "text", "models": ["model"]},
+                lambda x: is_dataclass(x) and x.text == "text" and x.models == ["model"],
+                None,
+            ),
+            (
+                "basic_callable_class",
+                {"func_input": "func_input"},
+                lambda x: x["func_input"] == "func_input",
+                {"obj_input": "obj_input"},
+            ),
+        ],
+    )
+    def test_flow_run(self, flow_folder, inputs, ensure_output, init_kwargs):
+        flow_file = get_yaml_file(flow_folder, root=EAGER_FLOW_ROOT)
+
+        # Test submitting eager flow to script executor
+        executor = ScriptExecutor(flow_file=flow_file, init_kwargs=init_kwargs)
+        line_result = executor.exec_line(inputs=inputs, index=0)
+        assert isinstance(line_result, LineResult)
+        assert ensure_output(line_result.output)
+
+        # Test submitting eager flow to flow executor
+        executor = FlowExecutor.create(flow_file=flow_file, connections={}, init_kwargs=init_kwargs)
+        line_result1 = executor.exec_line(inputs=inputs, index=0)
+        assert isinstance(line_result1, LineResult)
+        assert ensure_output(line_result1.output)
+
+        # run the same line again will get same output
+        line_result2 = executor.exec_line(inputs=inputs, index=0)
+        assert line_result1.output == line_result2.output
+
+    def test_flow_run_with_invalid_case(self):
+        flow_folder = "dummy_flow_with_exception"
+        flow_file = get_yaml_file(flow_folder, root=EAGER_FLOW_ROOT)
+        executor = ScriptExecutor(flow_file=flow_file)
+        line_result = executor.exec_line(inputs={"text": "text"}, index=0)
+
+        assert isinstance(line_result, LineResult)
+        assert line_result.output is None
+        assert line_result.run_info.status == Status.Failed
+        assert "dummy exception" in line_result.run_info.error["message"]
+
+    def test_flow_with_operation_context(self):
+        flow_folder = "flow_with_operation_context"
+        flow_file = get_yaml_file(flow_folder, root=EAGER_FLOW_ROOT)
+        executor = FlowExecutor.create(flow_file=flow_file, connections={})
+        line_result = executor.exec_line(inputs={}, index=0)
+
+        assert isinstance(line_result, LineResult)
+        assert line_result.run_info.status == Status.Completed
+        assert line_result.output["flow-id"] == line_result.run_info.flow_id
+        assert line_result.output["root-run-id"] == line_result.run_info.root_run_id
+
+    def test_execute_init_func_with_user_error(self):
+        flow_folder = "callable_flow_with_init_exception"
+        flow_file = get_yaml_file(flow_folder, root=EAGER_FLOW_ROOT)
+        with pytest.raises(FlowEntryInitializationError) as e:
+            ScriptExecutor(flow_file=flow_file, init_kwargs={})
+        assert "Failed to initialize flow entry with" in str(e.value)
+
+    @pytest.mark.parametrize(
+        "flow_folder, expected_exception, expected_error_msg",
+        [
+            ("callable_flow_with_init_exception", FlowEntryInitializationError, "Failed to initialize flow entry with"),
+            ("invalid_illegal_entry", PythonLoadError, "Failed to load python module for"),
+            ("incorrect_entry", PythonLoadError, "Failed to load python module for"),
+        ],
+    )
+    def test_execute_func_with_user_error(self, flow_folder, expected_exception, expected_error_msg):
+        flow_file = get_yaml_file(flow_folder, root=EAGER_FLOW_ROOT)
+        with pytest.raises(expected_exception) as e:
+            ScriptExecutor(flow_file=flow_file)
+        assert expected_error_msg in str(e.value)
diff --git a/src/promptflow-core/tests/core/unittests/__init__.py b/src/promptflow-core/tests/core/unittests/__init__.py
new file mode 100644
index 00000000000..e69de29bb2d
diff --git a/src/promptflow-core/tests/core/unittests/test_basic.py b/src/promptflow-core/tests/core/unittests/test_basic.py
new file mode 100644
index 00000000000..d5a9af51443
--- /dev/null
+++ b/src/promptflow-core/tests/core/unittests/test_basic.py
@@ -0,0 +1,19 @@
+# ---------------------------------------------------------
+# Copyright (c) Microsoft Corporation. All rights reserved.
+# ---------------------------------------------------------
+
+import pytest
+
+from promptflow._utils.user_agent_utils import append_promptflow_package_ua
+from promptflow.tracing._operation_context import OperationContext
+
+
+@pytest.mark.unittest
+class TestBasic:
+    def test_import(self):
+        assert True
+
+    def test_package_ua(self):
+        opc = OperationContext()
+        append_promptflow_package_ua(opc)
+        assert "promptflow-core" in opc.user_agent
diff --git a/src/promptflow-devkit/README.md b/src/promptflow-devkit/README.md
new file mode 100644
index 00000000000..b6f918fd93e
--- /dev/null
+++ b/src/promptflow-devkit/README.md
@@ -0,0 +1,43 @@
+# Prompt flow devkit
+
+[![Python package](https://img.shields.io/pypi/v/promptflow-devkit)](https://pypi.org/project/promptflow-devkit/)
+[![Python](https://img.shields.io/pypi/pyversions/promptflow.svg?maxAge=2592000)](https://pypi.python.org/pypi/promptflow-devkit/)
+[![PyPI - Downloads](https://img.shields.io/pypi/dm/promptflow-devkit)](https://pypi.org/project/promptflow-devkit/)
+[![CLI](https://img.shields.io/badge/CLI-reference-blue)](https://microsoft.github.io/promptflow/reference/pf-command-reference.html)
+[![SDK](https://img.shields.io/badge/SDK-reference-blue)](https://microsoft.github.io/promptflow/reference/python-library-reference/promptflow-devkit/promptflow.client.html)
+[![vsc extension](https://img.shields.io/visual-studio-marketplace/i/prompt-flow.prompt-flow?logo=Visual%20Studio&label=Extension%20)](https://marketplace.visualstudio.com/items?itemName=prompt-flow.prompt-flow)
+
+[![Doc](https://img.shields.io/badge/Doc-online-green)](https://microsoft.github.io/promptflow/index.html)
+[![Issue](https://img.shields.io/github/issues/microsoft/promptflow)](https://github.com/microsoft/promptflow/issues/new/choose)
+[![Discussions](https://img.shields.io/github/discussions/microsoft/promptflow)](https://github.com/microsoft/promptflow/issues/new/choose)
+[![CONTRIBUTING](https://img.shields.io/badge/Contributing-8A2BE2)](https://github.com/microsoft/promptflow/blob/main/CONTRIBUTING.md)
+[![License: MIT](https://img.shields.io/github/license/microsoft/promptflow)](https://github.com/microsoft/promptflow/blob/main/LICENSE)
+
+> Welcome to join us to make prompt flow better by
+> participating [discussions](https://github.com/microsoft/promptflow/discussions),
+> opening [issues](https://github.com/microsoft/promptflow/issues/new/choose),
+> submitting [PRs](https://github.com/microsoft/promptflow/pulls).
+
+## Introduction
+
+The `promptflow-devkit` is a subpackage of [`promptflow`](https://pypi.org/project/promptflow). It contains features like :
+
+- **Create and iteratively develop flow**
+    - Debug and iterate your flows, especially the [interaction with LLMs](https://microsoft.github.io/promptflow/concepts/concept-connections.html) with ease.
+    - Provide Tracing collector and UI to help user achieve comprehensive observability of their LLM applications.
+- **Evaluate flow quality and performance**
+    - Evaluate your flow's quality and performance with larger datasets.
+    - Integrate the testing and evaluation into your CI/CD system to ensure quality of your flow.
+- **Streamlined development cycle for production**
+    - Deploy your flow to the serving platform you choose or integrate into your app's code base easily.
+
+
+NOTE: 
+- For users seeking a **minimal** dependency to execute a flow in serving or cloud run scenarios, consider installing the `promptflow-core` package. This package equips you with the fundamental features necessary for executing a `flow` in prompt flow.
+- For users need to leverage the cloud version of [prompt flow in Azure AI](https://learn.microsoft.com/en-us/azure/machine-learning/prompt-flow/overview-what-is-prompt-flow?view=azureml-api-2), please install the `promptflow-azure` package.
+
+# Release History
+
+## 0.1.0b1 (Upcoming)
+
+- Stub version in PyPI.
diff --git a/src/promptflow/promptflow/_sdk/_serving/extension/__init__.py b/src/promptflow-devkit/promptflow/_cli/__init__.py
similarity index 100%
rename from src/promptflow/promptflow/_sdk/_serving/extension/__init__.py
rename to src/promptflow-devkit/promptflow/_cli/__init__.py
diff --git a/src/promptflow/promptflow/_cli/_params.py b/src/promptflow-devkit/promptflow/_cli/_params.py
similarity index 96%
rename from src/promptflow/promptflow/_cli/_params.py
rename to src/promptflow-devkit/promptflow/_cli/_params.py
index 47fdad9ec2f..b72434fa778 100644
--- a/src/promptflow/promptflow/_cli/_params.py
+++ b/src/promptflow-devkit/promptflow/_cli/_params.py
@@ -16,7 +16,7 @@ def __call__(self, parser, namespace, values, option_string=None):
         super(AppendToDictAction, self).__call__(parser, namespace, action, option_string)
 
     def get_action(self, values, option_string):  # pylint: disable=no-self-use
-        from promptflow._sdk._utils import strip_quotation
+        from promptflow._utils.utils import strip_quotation
 
         kwargs = {}
         for item in values:
@@ -334,3 +334,14 @@ def add_param_flow_name(parser):
         required=True,
         help="The name of the flow.",
     )
+
+
+def add_param_init(parser):
+    parser.add_argument(
+        "--init",
+        action=FlowTestInputAction,
+        help="Callable class initialization params. "
+        "Only valid when provided flow is a flex flow with callable class entry. "
+        "Example: --init param1=val1 param2=val2",
+        nargs="+",
+    )
diff --git a/src/promptflow/promptflow/_sdk/_serving/monitor/__init__.py b/src/promptflow-devkit/promptflow/_cli/_pf/__init__.py
similarity index 100%
rename from src/promptflow/promptflow/_sdk/_serving/monitor/__init__.py
rename to src/promptflow-devkit/promptflow/_cli/_pf/__init__.py
diff --git a/src/promptflow/promptflow/_cli/_pf/_config.py b/src/promptflow-devkit/promptflow/_cli/_pf/_config.py
similarity index 100%
rename from src/promptflow/promptflow/_cli/_pf/_config.py
rename to src/promptflow-devkit/promptflow/_cli/_pf/_config.py
diff --git a/src/promptflow/promptflow/_cli/_pf/_connection.py b/src/promptflow-devkit/promptflow/_cli/_pf/_connection.py
similarity index 100%
rename from src/promptflow/promptflow/_cli/_pf/_connection.py
rename to src/promptflow-devkit/promptflow/_cli/_pf/_connection.py
diff --git a/src/promptflow/promptflow/_cli/_pf/_experiment.py b/src/promptflow-devkit/promptflow/_cli/_pf/_experiment.py
similarity index 92%
rename from src/promptflow/promptflow/_cli/_pf/_experiment.py
rename to src/promptflow-devkit/promptflow/_cli/_pf/_experiment.py
index 38a72c2a534..f617c6cc10e 100644
--- a/src/promptflow/promptflow/_cli/_pf/_experiment.py
+++ b/src/promptflow-devkit/promptflow/_cli/_pf/_experiment.py
@@ -30,10 +30,14 @@ def _get_pf_client():
     return _client
 
 
-def add_param_template(parser):
+def add_param_template_required(parser):
     parser.add_argument("--template", type=str, required=True, help="The experiment template path.")
 
 
+def add_param_template(parser):
+    parser.add_argument("--template", type=str, help="The experiment template path.")
+
+
 def add_param_name(parser):
     parser.add_argument("--name", "-n", type=str, help="The experiment name.")
 
@@ -68,7 +72,7 @@ def add_experiment_create(subparsers):
     # Create an experiment from a template:
     pf experiment create --template flow.exp.yaml
     """
-    add_params = [add_param_template, add_param_name] + base_params
+    add_params = [add_param_template_required, add_param_name] + base_params
 
     create_parser = activate_action(
         name="create",
@@ -131,13 +135,13 @@ def add_experiment_start(subparsers):
     # Start a named experiment:
     pf experiment start -n my_experiment --inputs data1=data1_val data2=data2_val
     # Run an experiment by yaml file:
-    pf experiment start --file path/to/my_experiment.exp.yaml --inputs data1=data1_val data2=data2_val
+    pf experiment start --template path/to/my_experiment.exp.yaml --inputs data1=data1_val data2=data2_val
     """
     activate_action(
         name="start",
         description="Start an experiment.",
         epilog=epilog,
-        add_params=[add_param_name, add_param_file, add_param_input, add_param_stream] + base_params,
+        add_params=[add_param_name, add_param_template, add_param_input, add_param_stream] + base_params,
         subparsers=subparsers,
         help_message="Start an experiment.",
         action_param_name="sub_action",
@@ -235,20 +239,18 @@ def start_experiment(args: argparse.Namespace):
     if args.name:
         logger.debug(f"Starting a named experiment {args.name}.")
         inputs = list_of_dict_to_dict(args.inputs)
-        if inputs:
-            logger.warning("The inputs of named experiment cannot be modified.")
         client = _get_pf_client()
         experiment = client._experiments.get(args.name)
-        result = client._experiments.start(experiment=experiment, stream=args.stream)
-    elif args.file:
+        result = client._experiments.start(experiment=experiment, inputs=inputs, stream=args.stream)
+    elif args.template:
         from promptflow._sdk._load_functions import _load_experiment
 
-        logger.debug(f"Starting an anonymous experiment {args.file}.")
-        experiment = _load_experiment(source=args.file)
+        logger.debug(f"Starting an anonymous experiment {args.template}.")
+        experiment = _load_experiment(source=args.template)
         inputs = list_of_dict_to_dict(args.inputs)
         result = _get_pf_client()._experiments.start(experiment=experiment, inputs=inputs, stream=args.stream)
     else:
-        raise UserErrorException("To start an experiment, one of [name, file] must be specified.")
+        raise UserErrorException("To start an experiment, one of [name, template] must be specified.")
     print(json.dumps(result._to_dict(), indent=4))
 
 
diff --git a/src/promptflow/promptflow/_cli/_pf/_flow.py b/src/promptflow-devkit/promptflow/_cli/_pf/_flow.py
similarity index 93%
rename from src/promptflow/promptflow/_cli/_pf/_flow.py
rename to src/promptflow-devkit/promptflow/_cli/_pf/_flow.py
index 915b7d07af1..fc2282607c6 100644
--- a/src/promptflow/promptflow/_cli/_pf/_flow.py
+++ b/src/promptflow-devkit/promptflow/_cli/_pf/_flow.py
@@ -12,6 +12,7 @@
 import tempfile
 import webbrowser
 from pathlib import Path
+from urllib.parse import urlencode, urlunparse
 
 from promptflow._cli._params import (
     add_param_config,
@@ -19,6 +20,7 @@
     add_param_environment_variables,
     add_param_flow_display_name,
     add_param_function,
+    add_param_init,
     add_param_inputs,
     add_param_prompt_template,
     add_param_source,
@@ -31,16 +33,16 @@
     ChatFlowDAGGenerator,
     FlowDAGGenerator,
     OpenAIConnectionGenerator,
-    StreamlitFileReplicator,
     ToolMetaGenerator,
     ToolPyGenerator,
     copy_extra_files,
 )
 from promptflow._cli._utils import _copy_to_flow, activate_action, confirm, inject_sys_path, list_of_dict_to_dict
-from promptflow._constants import FlowLanguage
+from promptflow._constants import ConnectionProviderConfig, FlowLanguage
 from promptflow._sdk._configuration import Configuration
-from promptflow._sdk._constants import PROMPT_FLOW_DIR_NAME, ConnectionProvider
+from promptflow._sdk._constants import PROMPT_FLOW_DIR_NAME
 from promptflow._sdk._pf_client import PFClient
+from promptflow._sdk._service.utils.utils import encrypt_flow_path
 from promptflow._sdk.operations._flow_operations import FlowOperations
 from promptflow._utils.logger_utils import get_cli_sdk_logger
 from promptflow.exceptions import ErrorTarget, UserErrorException
@@ -162,6 +164,7 @@ def add_parser_serve_flow(subparsers):
             add_param_environment_variables,
             add_param_config,
             add_param_skip_browser,
+            add_param_init,
         ]
         + base_params,
         subparsers=subparsers,
@@ -328,7 +331,7 @@ def _init_chat_flow(flow_name, flow_path, connection=None, deployment=None):
     deployment = deployment or DEFAULT_DEPLOYMENT
     ChatFlowDAGGenerator(connection=connection, deployment=deployment).generate_to_file(flow_path / "flow.dag.yaml")
     # When customer not configure the remote connection provider, create connection yaml to chat flow.
-    is_local_connection = Configuration.get_instance().get_connection_provider() == ConnectionProvider.LOCAL
+    is_local_connection = Configuration.get_instance().get_connection_provider() == ConnectionProviderConfig.LOCAL
     if is_local_connection:
         OpenAIConnectionGenerator(connection=connection).generate_to_file(flow_path / "openai.yaml")
         AzureOpenAIConnectionGenerator(connection=connection).generate_to_file(flow_path / "azure_openai.yaml")
@@ -393,7 +396,7 @@ def test_flow(args):
         _test_flow_experiment(args, pf_client, inputs, environment_variables)
         return
     if args.multi_modal or args.ui:
-        _test_flow_multi_modal(args, pf_client)
+        _test_flow_multi_modal(args)
         return
     if args.interactive:
         _test_flow_interactive(args, pf_client, inputs, environment_variables)
@@ -420,26 +423,24 @@ def _build_inputs_for_flow_test(args):
     return inputs
 
 
-def _test_flow_multi_modal(args, pf_client):
+def _test_flow_multi_modal(args):
     """Test flow with multi modality mode."""
     from promptflow._sdk._load_functions import load_flow
-
-    with tempfile.TemporaryDirectory() as temp_dir:
-        flow = load_flow(args.flow)
-
-        script_path = [
-            os.path.join(temp_dir, "main.py"),
-            os.path.join(temp_dir, "utils.py"),
-            os.path.join(temp_dir, "logo.png"),
-        ]
-        for script in script_path:
-            StreamlitFileReplicator(
-                flow_name=flow.display_name if flow.display_name else flow.name,
-                flow_dag_path=flow.flow_dag_path,
-            ).generate_to_file(script)
-        main_script_path = os.path.join(temp_dir, "main.py")
-        logger.info("Start streamlit with main script generated at: %s", main_script_path)
-        pf_client.flows._chat_with_ui(script=main_script_path, skip_open_browser=args.skip_open_browser)
+    from promptflow._sdk._tracing import _invoke_pf_svc
+
+    # Todo: use base64 encode for now, will consider whether need use encryption or use db to store flow path info
+    def generate_url(flow_path, port):
+        encrypted_flow_path = encrypt_flow_path(flow_path)
+        query_params = urlencode({"flow": encrypted_flow_path})
+        return urlunparse(("http", f"127.0.0.1:{port}", "/v1.0/ui/chat", "", query_params, ""))
+
+    pfs_port = _invoke_pf_svc()
+    flow = load_flow(args.flow)
+    flow_dir = os.path.abspath(flow.code)
+    chat_page_url = generate_url(flow_dir, pfs_port)
+    print(f"You can begin chat flow on {chat_page_url}")
+    if not args.skip_open_browser:
+        webbrowser.open(chat_page_url)
 
 
 def _test_flow_interactive(args, pf_client, inputs, environment_variables):
@@ -512,7 +513,7 @@ def serve_flow(args):
 
 
 def serve_flow_csharp(args, source):
-    from promptflow.batch._csharp_executor_proxy import EXECUTOR_SERVICE_DLL
+    from promptflow._proxy._csharp_executor_proxy import EXECUTOR_SERVICE_DLL
 
     try:
         # Change working directory to model dir
@@ -540,7 +541,7 @@ def serve_flow_csharp(args, source):
 
 def _resolve_python_flow_additional_includes(source) -> Path:
     # Resolve flow additional includes
-    from promptflow import load_flow
+    from promptflow.client import load_flow
 
     flow = load_flow(source)
     with FlowOperations._resolve_additional_includes(flow.path) as resolved_flow_path:
@@ -556,12 +557,16 @@ def _resolve_python_flow_additional_includes(source) -> Path:
 
 
 def serve_flow_python(args, source):
-    from promptflow._sdk._serving.app import create_app
+    from promptflow._sdk._configuration import Configuration
+    from promptflow.core._serving.app import create_app
 
     static_folder = args.static_folder
     if static_folder:
         static_folder = Path(static_folder).absolute().as_posix()
     config = list_of_dict_to_dict(args.config)
+    pf_config = Configuration(overrides=config)
+    logger.info(f"Promptflow config: {pf_config}")
+    connection_provider = pf_config.get_connection_provider()
     source = _resolve_python_flow_additional_includes(source)
     os.environ["PROMPTFLOW_PROJECT_PATH"] = source.absolute().as_posix()
     logger.info(f"Change working directory to model dir {source}")
@@ -569,7 +574,8 @@ def serve_flow_python(args, source):
     app = create_app(
         static_folder=static_folder,
         environment_variables=list_of_dict_to_dict(args.environment_variables),
-        config=config,
+        connection_provider=connection_provider,
+        inits=list_of_dict_to_dict(args.inits),
     )
     if not args.skip_open_browser:
         target = f"http://{args.host}:{args.port}"
diff --git a/src/promptflow/promptflow/_cli/_pf/_init_entry_generators.py b/src/promptflow-devkit/promptflow/_cli/_pf/_init_entry_generators.py
similarity index 99%
rename from src/promptflow/promptflow/_cli/_pf/_init_entry_generators.py
rename to src/promptflow-devkit/promptflow/_cli/_pf/_init_entry_generators.py
index 615c096e25e..4068a7dee31 100644
--- a/src/promptflow/promptflow/_cli/_pf/_init_entry_generators.py
+++ b/src/promptflow-devkit/promptflow/_cli/_pf/_init_entry_generators.py
@@ -13,7 +13,7 @@
 from jinja2 import Environment, Template, meta
 
 from promptflow._sdk._constants import DEFAULT_ENCODING
-from promptflow._sdk.operations._flow_operations import FlowOperations
+from promptflow._utils.flow_utils import is_executable_chat_flow
 from promptflow._utils.logger_utils import get_cli_sdk_logger
 from promptflow.contracts.flow import Flow as ExecutableFlow
 from promptflow.exceptions import UserErrorException
@@ -231,7 +231,7 @@ def __init__(self, flow_name, flow_dag_path):
         self.executable = ExecutableFlow.from_yaml(
             flow_file=Path(self.flow_dag_path.name), working_dir=self.flow_dag_path.parent
         )
-        self.is_chat_flow, self.chat_history_input_name, error_msg = FlowOperations._is_chat_flow(self.executable)
+        self.is_chat_flow, self.chat_history_input_name, error_msg = is_executable_chat_flow(self.executable)
 
     @property
     def flow_inputs(self):
diff --git a/src/promptflow/promptflow/_cli/_pf/_run.py b/src/promptflow-devkit/promptflow/_cli/_pf/_run.py
similarity index 98%
rename from src/promptflow/promptflow/_cli/_pf/_run.py
rename to src/promptflow-devkit/promptflow/_cli/_pf/_run.py
index a40dace2681..4c68dca3c09 100644
--- a/src/promptflow/promptflow/_cli/_pf/_run.py
+++ b/src/promptflow-devkit/promptflow/_cli/_pf/_run.py
@@ -13,6 +13,7 @@
     add_param_connections,
     add_param_environment_variables,
     add_param_include_archived,
+    add_param_init,
     add_param_max_results,
     add_param_output_format,
     add_param_run_name,
@@ -111,6 +112,7 @@ def add_run_create_common(subparsers, add_param_list, epilog: Optional[str] = No
         add_param_connections,
         add_param_set,
         add_param_resume_from,
+        add_param_init,
     ] + base_params
 
     add_params.extend(add_param_list)
@@ -142,6 +144,8 @@ def add_run_create(subparsers):
 pf run create --resume-from <run-name>
 # Create a run resume from an existing run, set the name, display_name, description and tags:
 pf run create --resume-from <run-name> --name <new-run-name> --set display_name='A new run' description='my run description' tags.Type=Test
+# Create a run with init kwargs:
+pf run create -f <yaml-filename> --init key1=value1 key2=value2
 """
 
     # data for pf has different help doc than pfazure
@@ -583,6 +587,7 @@ def create_run(create_func: Callable, resume_func: Callable, args):
     environment_variables = args.environment_variables
     connections = args.connections
     resume_from = args.resume_from
+    init = args.init
     params_override = args.params_override or []
 
     if environment_variables:
@@ -591,6 +596,8 @@ def create_run(create_func: Callable, resume_func: Callable, args):
         connections = list_of_dict_to_nested_dict(connections)
     if column_mapping:
         column_mapping = list_of_dict_to_dict(column_mapping)
+    if init:
+        init = list_of_dict_to_dict(init)
 
     run_params = {
         "name": name,
@@ -602,6 +609,7 @@ def create_run(create_func: Callable, resume_func: Callable, args):
         "environment_variables": environment_variables,
         "connections": connections,
         "resume_from": resume_from,
+        "init": init,
     }
     # remove empty fields
     run_params = {k: v for k, v in run_params.items() if v is not None}
@@ -635,7 +643,7 @@ def _build_run_obj():
             logger.debug(f"resume_from specified, append params override {params_override} to run params.")
             run_params.update(list_of_dict_to_nested_dict(params_override))
         logger.debug(f"Run params: {run_params}")
-        run = resume_func(**run_params)
+        run = resume_func(**run_params, stream=stream)
     else:
         run = create_func(run=_build_run_obj(), stream=stream)
     if stream:
diff --git a/src/promptflow-devkit/promptflow/_cli/_pf/_service.py b/src/promptflow-devkit/promptflow/_cli/_pf/_service.py
new file mode 100644
index 00000000000..f543beecf95
--- /dev/null
+++ b/src/promptflow-devkit/promptflow/_cli/_pf/_service.py
@@ -0,0 +1,286 @@
+# ---------------------------------------------------------
+# Copyright (c) Microsoft Corporation. All rights reserved.
+# ---------------------------------------------------------
+
+import argparse
+import logging
+import os
+import platform
+import subprocess
+import sys
+
+import waitress
+
+from promptflow._cli._params import base_params
+from promptflow._cli._utils import activate_action
+from promptflow._constants import PF_NO_INTERACTIVE_LOGIN
+from promptflow._sdk._constants import (
+    HOME_PROMPT_FLOW_DIR,
+    PF_SERVICE_DEBUG,
+    PF_SERVICE_LOG_FILE,
+    PF_SERVICE_WORKER_NUM,
+)
+from promptflow._sdk._service.app import create_app
+from promptflow._sdk._service.utils.utils import (
+    check_pfs_service_status,
+    dump_port_to_config,
+    get_current_env_pfs_file,
+    get_port_from_config,
+    get_started_service_info,
+    is_port_in_use,
+    is_run_from_built_binary,
+    kill_exist_service,
+)
+from promptflow._sdk._utils import get_promptflow_sdk_version
+from promptflow._utils.logger_utils import get_cli_sdk_logger  # noqa: E402
+from promptflow.exceptions import UserErrorException
+
+logger = get_cli_sdk_logger()
+
+
+app = None
+
+
+def get_app(environ, start_response):
+    global app
+    if app is None:
+        app, _ = create_app()
+    if os.environ.get(PF_SERVICE_DEBUG) == "true":
+        app.logger.setLevel(logging.DEBUG)
+    else:
+        app.logger.setLevel(logging.INFO)
+    return app.wsgi_app(environ, start_response)
+
+
+def add_service_parser(subparsers):
+    """Add service parser to the pf subparsers."""
+    service_parser = subparsers.add_parser(
+        "service",
+        description="Manage the PromptFlow service, which offers chat and trace UI functionalities.",
+        help="pf service",
+    )
+    service_subparsers = service_parser.add_subparsers()
+    add_parser_start_service(service_subparsers)
+    add_parser_stop_service(service_subparsers)
+    add_parser_show_service(service_subparsers)
+    service_parser.set_defaults(action="service")
+
+
+def dispatch_service_commands(args: argparse.Namespace):
+    if args.sub_action == "start":
+        start_service(args)
+    elif args.sub_action == "stop":
+        stop_service()
+    elif args.sub_action == "show-status":
+        show_service()
+
+
+def add_parser_start_service(subparsers):
+    """Add service start parser to the pf service subparsers."""
+    epilog = """
+    Examples:
+
+    # Start promptflow service:
+    pf service start
+    # Force restart promptflow service:
+    pf service start --force
+    # Start promptflow service with specific port:
+    pf service start --port 65553
+    """  # noqa: E501
+    add_param_port = lambda parser: parser.add_argument(  # noqa: E731
+        "-p", "--port", type=int, help="port of the promptflow service"
+    )
+    add_param_force = lambda parser: parser.add_argument(  # noqa: E731
+        "--force",
+        action="store_true",
+        help="If the port is used, the existing service will be terminated and restart a new service.",
+    )
+    activate_action(
+        name="start",
+        description="Start promptflow service.",
+        epilog=epilog,
+        add_params=[
+            add_param_port,
+            add_param_force,
+        ]
+        + base_params,
+        subparsers=subparsers,
+        help_message="pf service start",
+        action_param_name="sub_action",
+    )
+
+
+def add_parser_stop_service(subparsers):
+    """Add service stop parser to the pf service subparsers."""
+    epilog = """
+    Examples:
+
+    # Stop promptflow service:
+    pf service stop
+    """  # noqa: E501
+    activate_action(
+        name="stop",
+        description="Stop promptflow service.",
+        epilog=epilog,
+        add_params=base_params,
+        subparsers=subparsers,
+        help_message="pf service stop",
+        action_param_name="sub_action",
+    )
+
+
+def add_parser_show_service(subparsers):
+    """Add service show parser to the pf service subparsers."""
+    epilog = """
+    Examples:
+
+    # Display the started promptflow service info.:
+    pf service show-status
+    """  # noqa: E501
+    activate_action(
+        name="show-status",
+        description="Display the started promptflow service info.",
+        epilog=epilog,
+        add_params=base_params,
+        subparsers=subparsers,
+        help_message="pf service show-status",
+        action_param_name="sub_action",
+    )
+
+
+def start_service(args):
+    # User Agent will be set based on header in request, so not set globally here.
+    os.environ[PF_NO_INTERACTIVE_LOGIN] = "true"
+    port = args.port
+    if args.debug:
+        os.environ[PF_SERVICE_DEBUG] = "true"
+
+    def validate_port(port, force_start):
+        if is_port_in_use(port):
+            if force_start:
+                message = f"Force restart the service on the port {port}."
+                print(message)
+                logger.warning(message)
+                kill_exist_service(port)
+            else:
+                logger.warning(f"Service port {port} is used.")
+                raise UserErrorException(f"Service port {port} is used.")
+
+    if is_run_from_built_binary():
+        # For msi installer, use vbs to start pfs in a hidden window. But it doesn't support redirect output in the
+        # hidden window to terminal. So we redirect output to a file. And then print the file content to terminal in
+        # pfs.bat.
+        old_stdout = sys.stdout
+        old_stderr = sys.stderr
+        parent_dir = os.path.dirname(sys.executable)
+        sys.stdout = open(os.path.join(parent_dir, "output.txt"), "w")
+        sys.stderr = sys.stdout
+    if port:
+        dump_port_to_config(port)
+        validate_port(port, args.force)
+    else:
+        port = get_port_from_config(create_if_not_exists=True)
+        validate_port(port, args.force)
+
+    if is_run_from_built_binary():
+        # For msi installer, use sdk api to start pfs since it's not supported to invoke waitress by cli directly
+        # after packaged by Pyinstaller.
+        try:
+            global app
+            if app is None:
+                app, _ = create_app()
+            if os.environ.get(PF_SERVICE_DEBUG) == "true":
+                app.logger.setLevel(logging.DEBUG)
+            else:
+                app.logger.setLevel(logging.INFO)
+            message = f"Start Prompt Flow Service on {port}, version: {get_promptflow_sdk_version()}."
+            app.logger.info(message)
+            print(message)
+            sys.stdout.flush()
+            waitress.serve(app, host="127.0.0.1", port=port, threads=PF_SERVICE_WORKER_NUM)
+        finally:
+            sys.stdout = old_stdout
+            sys.stderr = old_stderr
+    else:
+        # Start a pfs process using detach mode. It will start a new process and create a new app. So we use environment
+        # variable to pass the debug mode, since it will inherit parent process environment variable.
+        if platform.system() == "Windows":
+            try:
+                import win32api
+                import win32con
+                import win32process
+            except ImportError as ex:
+                raise UserErrorException(
+                    f"Please install pywin32 by 'pip install pywin32' and retry. prompt flow "
+                    f"service start depends on pywin32.. {ex}"
+                )
+            command = (
+                f"waitress-serve --listen=127.0.0.1:{port} --threads={PF_SERVICE_WORKER_NUM} "
+                "promptflow._cli._pf._service:get_app"
+            )
+            startupinfo = win32process.STARTUPINFO()
+            startupinfo.dwFlags |= win32process.STARTF_USESHOWWINDOW
+            startupinfo.wShowWindow = win32con.SW_HIDE
+            process_attributes = None
+            thread_attributes = None
+            inherit_handles = False
+            creation_flags = win32con.CREATE_NEW_PROCESS_GROUP | win32con.DETACHED_PROCESS
+            environment = None
+            current_directory = None
+            process_handle, thread_handle, process_id, thread_id = win32process.CreateProcess(
+                None,
+                command,
+                process_attributes,
+                thread_attributes,
+                inherit_handles,
+                creation_flags,
+                environment,
+                current_directory,
+                startupinfo,
+            )
+
+            win32api.CloseHandle(process_handle)
+            win32api.CloseHandle(thread_handle)
+        else:
+            # Set host to localhost, only allow request from localhost.
+            cmd = [
+                "waitress-serve",
+                f"--listen=127.0.0.1:{port}",
+                f"--threads={PF_SERVICE_WORKER_NUM}",
+                "promptflow._cli._pf._service:get_app",
+            ]
+            subprocess.Popen(cmd, stdout=subprocess.DEVNULL, start_new_session=True)
+        is_healthy = check_pfs_service_status(port)
+        if is_healthy:
+            message = f"Start Prompt Flow Service on port {port}, version: {get_promptflow_sdk_version()}."
+            print(message)
+            logger.info(message)
+        else:
+            logger.warning(f"Pfs service start failed in {port}.")
+
+
+def stop_service():
+    port = get_port_from_config()
+    if port is not None and is_port_in_use(port):
+        kill_exist_service(port)
+        message = f"Pfs service stop in {port}."
+    else:
+        message = "Pfs service is not started."
+    logger.debug(message)
+    print(message)
+
+
+def show_service():
+    port = get_port_from_config()
+    status = get_started_service_info(port)
+    if is_run_from_built_binary():
+        log_file = HOME_PROMPT_FLOW_DIR / PF_SERVICE_LOG_FILE
+    else:
+        log_file = get_current_env_pfs_file(PF_SERVICE_LOG_FILE)
+    if status:
+        status.update({"log_file": log_file.as_posix()})
+        print(status)
+        return
+    else:
+        logger.warning(f"Promptflow service is not started. log_file: {log_file.as_posix()}")
+        sys.exit(1)
diff --git a/src/promptflow/promptflow/_cli/_pf/_tool.py b/src/promptflow-devkit/promptflow/_cli/_pf/_tool.py
similarity index 100%
rename from src/promptflow/promptflow/_cli/_pf/_tool.py
rename to src/promptflow-devkit/promptflow/_cli/_pf/_tool.py
diff --git a/src/promptflow-devkit/promptflow/_cli/_pf/_trace.py b/src/promptflow-devkit/promptflow/_cli/_pf/_trace.py
new file mode 100644
index 00000000000..8e30925ed33
--- /dev/null
+++ b/src/promptflow-devkit/promptflow/_cli/_pf/_trace.py
@@ -0,0 +1,83 @@
+# ---------------------------------------------------------
+# Copyright (c) Microsoft Corporation. All rights reserved.
+# ---------------------------------------------------------
+
+import argparse
+import typing
+
+from promptflow._cli._params import base_params
+from promptflow._cli._utils import activate_action
+from promptflow._sdk._pf_client import PFClient
+
+_client: typing.Optional[PFClient] = None
+
+
+def _get_pf_client() -> PFClient:
+    global _client
+    if _client is None:
+        _client = PFClient()
+    return _client
+
+
+def add_trace_parser(subparsers: argparse._SubParsersAction):
+    trace_parser: argparse.ArgumentParser = subparsers.add_parser(
+        "trace",
+        description="[Experimental] A CLI tool to manage traces for prompt flow.",
+        help="[Experimental] pf trace. This is an experimental feature, and may change at any time.",
+    )
+    subparsers = trace_parser.add_subparsers()
+    add_delete_trace_params(subparsers)
+    trace_parser.set_defaults(action="trace")
+
+
+def dispatch_trace_cmds(args: argparse.Namespace):
+    if args.sub_action == "delete":
+        delete_trace(args)
+
+
+def _add_param_run(parser):
+    parser.add_argument("--run", type=str, help="Name of the run.")
+
+
+def _add_param_collection(parser):
+    parser.add_argument("--collection", type=str, help="Name of the collection.")
+
+
+def _add_param_started_before(parser):
+    parser.add_argument("--started-before", type=str, help="Date and time in ISO 8601 format.")
+
+
+def add_delete_trace_params(subparsers):
+    # we can provide more syntax sugar here, e.g., 1 day ago
+    # but with limited time, we only support ISO 8601 format for now, and look forward to feedback
+    epilog = """
+Examples:
+
+# Delete traces
+pf trace delete --run <run>
+pf trace delete --collection <collection>
+# `started_before` should be in ISO 8601 format
+pf trace delete --collection <collection> --started-before '2024-03-19T15:17:23.807563'
+"""
+    add_params = [
+        _add_param_run,
+        _add_param_collection,
+        _add_param_started_before,
+    ] + base_params
+    activate_action(
+        name="delete",
+        description=None,
+        epilog=epilog,
+        add_params=add_params,
+        subparsers=subparsers,
+        help_message="Delete traces comes from run, collection or by time.",
+        action_param_name="sub_action",
+    )
+
+
+def delete_trace(args: argparse.Namespace) -> None:
+    _get_pf_client().traces.delete(
+        run=args.run,
+        collection=args.collection,
+        started_before=args.started_before,
+    )
diff --git a/src/promptflow/promptflow/_cli/_pf/_upgrade.py b/src/promptflow-devkit/promptflow/_cli/_pf/_upgrade.py
similarity index 100%
rename from src/promptflow/promptflow/_cli/_pf/_upgrade.py
rename to src/promptflow-devkit/promptflow/_cli/_pf/_upgrade.py
diff --git a/src/promptflow/promptflow/_cli/_pf/entry.py b/src/promptflow-devkit/promptflow/_cli/_pf/entry.py
similarity index 90%
rename from src/promptflow/promptflow/_cli/_pf/entry.py
rename to src/promptflow-devkit/promptflow/_cli/_pf/entry.py
index 93169ca09d6..923e5e71d7e 100644
--- a/src/promptflow/promptflow/_cli/_pf/entry.py
+++ b/src/promptflow-devkit/promptflow/_cli/_pf/entry.py
@@ -22,16 +22,15 @@
 from promptflow._cli._pf._connection import add_connection_parser, dispatch_connection_commands  # noqa: E402
 from promptflow._cli._pf._flow import add_flow_parser, dispatch_flow_commands  # noqa: E402
 from promptflow._cli._pf._run import add_run_parser, dispatch_run_commands  # noqa: E402
+from promptflow._cli._pf._service import add_service_parser, dispatch_service_commands  # noqa: E402
 from promptflow._cli._pf._tool import add_tool_parser, dispatch_tool_commands  # noqa: E402
-from promptflow._cli._pf.help import show_privacy_statement, show_welcome_message  # noqa: E402
+from promptflow._cli._pf._trace import add_trace_parser, dispatch_trace_cmds  # noqa: E402
 from promptflow._cli._pf._upgrade import add_upgrade_parser, upgrade_version  # noqa: E402
+from promptflow._cli._pf.help import show_privacy_statement, show_welcome_message  # noqa: E402
 from promptflow._cli._user_agent import USER_AGENT  # noqa: E402
-from promptflow._sdk._utils import (  # noqa: E402
-    get_promptflow_sdk_version,
-    print_pf_version,
-    setup_user_agent_to_operation_context,
-)
+from promptflow._sdk._utils import get_promptflow_sdk_version, print_pf_version  # noqa: E402
 from promptflow._utils.logger_utils import get_cli_sdk_logger  # noqa: E402
+from promptflow._utils.user_agent_utils import setup_user_agent_to_operation_context  # noqa: E402
 
 # get logger for CLI
 logger = get_cli_sdk_logger()
@@ -66,6 +65,10 @@ def run_command(args):
             upgrade_version(args)
         elif args.action == "experiment":
             dispatch_experiment_commands(args)
+        elif args.action == "service":
+            dispatch_service_commands(args)
+        elif args.action == "trace":
+            dispatch_trace_cmds(args)
     except KeyboardInterrupt as ex:
         logger.debug("Keyboard interrupt is captured.")
         raise ex
@@ -103,6 +106,8 @@ def get_parser_args(argv):
     add_run_parser(subparsers)
     add_config_parser(subparsers)
     add_tool_parser(subparsers)
+    add_service_parser(subparsers)
+    add_trace_parser(subparsers)
 
     if Configuration.get_instance().is_internal_features_enabled():
         add_experiment_parser(subparsers)
diff --git a/src/promptflow/promptflow/_cli/_pf/help.py b/src/promptflow-devkit/promptflow/_cli/_pf/help.py
similarity index 100%
rename from src/promptflow/promptflow/_cli/_pf/help.py
rename to src/promptflow-devkit/promptflow/_cli/_pf/help.py
diff --git a/src/promptflow/promptflow/_cli/_user_agent.py b/src/promptflow-devkit/promptflow/_cli/_user_agent.py
similarity index 100%
rename from src/promptflow/promptflow/_cli/_user_agent.py
rename to src/promptflow-devkit/promptflow/_cli/_user_agent.py
diff --git a/src/promptflow/promptflow/_cli/_utils.py b/src/promptflow-devkit/promptflow/_cli/_utils.py
similarity index 97%
rename from src/promptflow/promptflow/_cli/_utils.py
rename to src/promptflow-devkit/promptflow/_cli/_utils.py
index 81b50cf1835..c45df603a5c 100644
--- a/src/promptflow/promptflow/_cli/_utils.py
+++ b/src/promptflow-devkit/promptflow/_cli/_utils.py
@@ -389,11 +389,14 @@ def get_secret_input(prompt, mask="*"):
     - Ignore control characters and print warning message.
     """
     if not isinstance(prompt, str):
-        raise TypeError(f"prompt must be a str, not ${type(prompt).__name__}")
+        e = TypeError(f"prompt must be a str, not ${type(prompt).__name__}")
+        raise UserErrorException(message_format=str(e)) from e
     if not isinstance(mask, str):
-        raise TypeError(f"mask argument must be a one-character str, not ${type(mask).__name__}")
+        e = TypeError(f"mask argument must be a one-character str, not ${type(mask).__name__}")
+        raise UserErrorException(message_format=str(e)) from e
     if len(mask) != 1:
-        raise ValueError("mask argument must be a one-character str")
+        e = ValueError("mask argument must be a one-character str")
+        raise UserErrorException(message_format=str(e)) from e
 
     if sys.platform == "win32":
         # For some reason, mypy reports that msvcrt doesn't have getch, ignore this warning:
diff --git a/src/promptflow/promptflow/_cli/data/chat_flow/flow_files/.promptflow/flow.tools.json b/src/promptflow-devkit/promptflow/_cli/data/chat_flow/flow_files/.promptflow/flow.tools.json
similarity index 100%
rename from src/promptflow/promptflow/_cli/data/chat_flow/flow_files/.promptflow/flow.tools.json
rename to src/promptflow-devkit/promptflow/_cli/data/chat_flow/flow_files/.promptflow/flow.tools.json
diff --git a/src/promptflow/promptflow/_cli/data/chat_flow/flow_files/README.md b/src/promptflow-devkit/promptflow/_cli/data/chat_flow/flow_files/README.md
similarity index 100%
rename from src/promptflow/promptflow/_cli/data/chat_flow/flow_files/README.md
rename to src/promptflow-devkit/promptflow/_cli/data/chat_flow/flow_files/README.md
diff --git a/src/promptflow/promptflow/_cli/data/chat_flow/flow_files/chat.jinja2 b/src/promptflow-devkit/promptflow/_cli/data/chat_flow/flow_files/chat.jinja2
similarity index 100%
rename from src/promptflow/promptflow/_cli/data/chat_flow/flow_files/chat.jinja2
rename to src/promptflow-devkit/promptflow/_cli/data/chat_flow/flow_files/chat.jinja2
diff --git a/src/promptflow/promptflow/_cli/data/chat_flow/template/azure_openai.yaml.jinja2 b/src/promptflow-devkit/promptflow/_cli/data/chat_flow/template/azure_openai.yaml.jinja2
similarity index 100%
rename from src/promptflow/promptflow/_cli/data/chat_flow/template/azure_openai.yaml.jinja2
rename to src/promptflow-devkit/promptflow/_cli/data/chat_flow/template/azure_openai.yaml.jinja2
diff --git a/src/promptflow/promptflow/_cli/data/chat_flow/template/flow.dag.yaml.jinja2 b/src/promptflow-devkit/promptflow/_cli/data/chat_flow/template/flow.dag.yaml.jinja2
similarity index 100%
rename from src/promptflow/promptflow/_cli/data/chat_flow/template/flow.dag.yaml.jinja2
rename to src/promptflow-devkit/promptflow/_cli/data/chat_flow/template/flow.dag.yaml.jinja2
diff --git a/src/promptflow/promptflow/_cli/data/chat_flow/template/openai.yaml.jinja2 b/src/promptflow-devkit/promptflow/_cli/data/chat_flow/template/openai.yaml.jinja2
similarity index 100%
rename from src/promptflow/promptflow/_cli/data/chat_flow/template/openai.yaml.jinja2
rename to src/promptflow-devkit/promptflow/_cli/data/chat_flow/template/openai.yaml.jinja2
diff --git a/src/promptflow/promptflow/_cli/data/entry_flow/flow.dag.yaml.jinja2 b/src/promptflow-devkit/promptflow/_cli/data/entry_flow/flow.dag.yaml.jinja2
similarity index 100%
rename from src/promptflow/promptflow/_cli/data/entry_flow/flow.dag.yaml.jinja2
rename to src/promptflow-devkit/promptflow/_cli/data/entry_flow/flow.dag.yaml.jinja2
diff --git a/src/promptflow/promptflow/_cli/data/entry_flow/flow.tools.json.jinja2 b/src/promptflow-devkit/promptflow/_cli/data/entry_flow/flow.tools.json.jinja2
similarity index 100%
rename from src/promptflow/promptflow/_cli/data/entry_flow/flow.tools.json.jinja2
rename to src/promptflow-devkit/promptflow/_cli/data/entry_flow/flow.tools.json.jinja2
diff --git a/src/promptflow/promptflow/_cli/data/entry_flow/gitignore b/src/promptflow-devkit/promptflow/_cli/data/entry_flow/gitignore
similarity index 100%
rename from src/promptflow/promptflow/_cli/data/entry_flow/gitignore
rename to src/promptflow-devkit/promptflow/_cli/data/entry_flow/gitignore
diff --git a/src/promptflow-devkit/promptflow/_cli/data/entry_flow/requirements_txt b/src/promptflow-devkit/promptflow/_cli/data/entry_flow/requirements_txt
new file mode 100644
index 00000000000..7a54870cad1
--- /dev/null
+++ b/src/promptflow-devkit/promptflow/_cli/data/entry_flow/requirements_txt
@@ -0,0 +1 @@
+promptflow
diff --git a/src/promptflow/promptflow/_cli/data/entry_flow/tool.py.jinja2 b/src/promptflow-devkit/promptflow/_cli/data/entry_flow/tool.py.jinja2
similarity index 93%
rename from src/promptflow/promptflow/_cli/data/entry_flow/tool.py.jinja2
rename to src/promptflow-devkit/promptflow/_cli/data/entry_flow/tool.py.jinja2
index 5a549efcb5f..e5ae94aa565 100644
--- a/src/promptflow/promptflow/_cli/data/entry_flow/tool.py.jinja2
+++ b/src/promptflow-devkit/promptflow/_cli/data/entry_flow/tool.py.jinja2
@@ -1,6 +1,6 @@
 import os
 
-from promptflow import tool
+from promptflow.core import tool
 from promptflow.connections import CustomConnection
 
 {{ function_import }}
diff --git a/src/promptflow/promptflow/_cli/data/evaluation_flow/.promptflow/flow.tools.json b/src/promptflow-devkit/promptflow/_cli/data/evaluation_flow/.promptflow/flow.tools.json
similarity index 100%
rename from src/promptflow/promptflow/_cli/data/evaluation_flow/.promptflow/flow.tools.json
rename to src/promptflow-devkit/promptflow/_cli/data/evaluation_flow/.promptflow/flow.tools.json
diff --git a/src/promptflow/promptflow/_cli/data/evaluation_flow/aggregate.py b/src/promptflow-devkit/promptflow/_cli/data/evaluation_flow/aggregate.py
similarity index 94%
rename from src/promptflow/promptflow/_cli/data/evaluation_flow/aggregate.py
rename to src/promptflow-devkit/promptflow/_cli/data/evaluation_flow/aggregate.py
index 34344bbb5e0..0836484a20c 100644
--- a/src/promptflow/promptflow/_cli/data/evaluation_flow/aggregate.py
+++ b/src/promptflow-devkit/promptflow/_cli/data/evaluation_flow/aggregate.py
@@ -4,7 +4,7 @@
 
 from typing import List
 
-from promptflow import log_metric, tool
+from promptflow.core import log_metric, tool
 
 
 @tool
diff --git a/src/promptflow/promptflow/_cli/data/evaluation_flow/data.jsonl b/src/promptflow-devkit/promptflow/_cli/data/evaluation_flow/data.jsonl
similarity index 100%
rename from src/promptflow/promptflow/_cli/data/evaluation_flow/data.jsonl
rename to src/promptflow-devkit/promptflow/_cli/data/evaluation_flow/data.jsonl
diff --git a/src/promptflow/promptflow/_cli/data/evaluation_flow/flow.dag.yaml b/src/promptflow-devkit/promptflow/_cli/data/evaluation_flow/flow.dag.yaml
similarity index 100%
rename from src/promptflow/promptflow/_cli/data/evaluation_flow/flow.dag.yaml
rename to src/promptflow-devkit/promptflow/_cli/data/evaluation_flow/flow.dag.yaml
diff --git a/src/promptflow/promptflow/_cli/data/evaluation_flow/line_process.py b/src/promptflow-devkit/promptflow/_cli/data/evaluation_flow/line_process.py
similarity index 95%
rename from src/promptflow/promptflow/_cli/data/evaluation_flow/line_process.py
rename to src/promptflow-devkit/promptflow/_cli/data/evaluation_flow/line_process.py
index c5abf52da35..39404bc9730 100644
--- a/src/promptflow/promptflow/_cli/data/evaluation_flow/line_process.py
+++ b/src/promptflow-devkit/promptflow/_cli/data/evaluation_flow/line_process.py
@@ -2,7 +2,7 @@
 # Copyright (c) Microsoft Corporation. All rights reserved.
 # ---------------------------------------------------------
 
-from promptflow import tool
+from promptflow.core import tool
 
 
 @tool
diff --git a/src/promptflow/promptflow/_cli/data/package_tool/README.md.jinja2 b/src/promptflow-devkit/promptflow/_cli/data/package_tool/README.md.jinja2
similarity index 97%
rename from src/promptflow/promptflow/_cli/data/package_tool/README.md.jinja2
rename to src/promptflow-devkit/promptflow/_cli/data/package_tool/README.md.jinja2
index ede780b4f0b..4dbb81b2b2b 100644
--- a/src/promptflow/promptflow/_cli/data/package_tool/README.md.jinja2
+++ b/src/promptflow-devkit/promptflow/_cli/data/package_tool/README.md.jinja2
@@ -11,4 +11,4 @@ The directory structure in the package tool is as follows:
         __init__.py
 ```
 
-Please refer to [tool doc](https://microsoft.github.io/promptflow/how-to-guides/develop-a-tool/index.html) for more details about how to develop a tool.
\ No newline at end of file
+Please refer to [tool doc](https://microsoft.github.io/promptflow/how-to-guides/develop-a-tool/index.html) for more details about how to develop a tool.
diff --git a/src/promptflow/promptflow/_cli/data/package_tool/init.py b/src/promptflow-devkit/promptflow/_cli/data/package_tool/init.py
similarity index 100%
rename from src/promptflow/promptflow/_cli/data/package_tool/init.py
rename to src/promptflow-devkit/promptflow/_cli/data/package_tool/init.py
diff --git a/src/promptflow/promptflow/_cli/data/package_tool/setup.py.jinja2 b/src/promptflow-devkit/promptflow/_cli/data/package_tool/setup.py.jinja2
similarity index 96%
rename from src/promptflow/promptflow/_cli/data/package_tool/setup.py.jinja2
rename to src/promptflow-devkit/promptflow/_cli/data/package_tool/setup.py.jinja2
index a7e71f02e83..2c55f99bf31 100644
--- a/src/promptflow/promptflow/_cli/data/package_tool/setup.py.jinja2
+++ b/src/promptflow-devkit/promptflow/_cli/data/package_tool/setup.py.jinja2
@@ -9,7 +9,7 @@ PACKAGE_NAME = "{{ package_name }}"
 class ToolMetaCacheBuild(build):
 
     def run(self):
-        from promptflow import PFClient
+        from promptflow.client import PFClient
 
         pf_client = PFClient()
         tools = pf_client.tools._list_tools_in_package(PACKAGE_NAME, raise_error=False)
diff --git a/src/promptflow/promptflow/_cli/data/package_tool/tool.py.jinja2 b/src/promptflow-devkit/promptflow/_cli/data/package_tool/tool.py.jinja2
similarity index 95%
rename from src/promptflow/promptflow/_cli/data/package_tool/tool.py.jinja2
rename to src/promptflow-devkit/promptflow/_cli/data/package_tool/tool.py.jinja2
index 1c26ddb03c7..5ade7c4af56 100644
--- a/src/promptflow/promptflow/_cli/data/package_tool/tool.py.jinja2
+++ b/src/promptflow-devkit/promptflow/_cli/data/package_tool/tool.py.jinja2
@@ -2,7 +2,7 @@
 from pathlib import Path
 
 {% endif %}
-from promptflow import tool
+from promptflow.core import tool
 from promptflow.connections import CustomConnection
 
 
diff --git a/src/promptflow/promptflow/_cli/data/package_tool/utils.py.jinja2 b/src/promptflow-devkit/promptflow/_cli/data/package_tool/utils.py.jinja2
similarity index 95%
rename from src/promptflow/promptflow/_cli/data/package_tool/utils.py.jinja2
rename to src/promptflow-devkit/promptflow/_cli/data/package_tool/utils.py.jinja2
index bf5df05135b..1367c3c5593 100644
--- a/src/promptflow/promptflow/_cli/data/package_tool/utils.py.jinja2
+++ b/src/promptflow-devkit/promptflow/_cli/data/package_tool/utils.py.jinja2
@@ -23,7 +23,7 @@ def list_package_tools(raise_error=False):
         with open(meta_cache_file, "r") as f:
             tools = yaml.safe_load(f)
     else:
-        from promptflow import PFClient
+        from promptflow.client import PFClient
 
         pf_client = PFClient()
         tools = pf_client.tools._list_tools_in_package(package_name, raise_error=raise_error)
diff --git a/src/promptflow/promptflow/_cli/data/standard_flow/.promptflow/flow.tools.json b/src/promptflow-devkit/promptflow/_cli/data/standard_flow/.promptflow/flow.tools.json
similarity index 100%
rename from src/promptflow/promptflow/_cli/data/standard_flow/.promptflow/flow.tools.json
rename to src/promptflow-devkit/promptflow/_cli/data/standard_flow/.promptflow/flow.tools.json
diff --git a/src/promptflow/promptflow/_cli/data/standard_flow/data.jsonl b/src/promptflow-devkit/promptflow/_cli/data/standard_flow/data.jsonl
similarity index 100%
rename from src/promptflow/promptflow/_cli/data/standard_flow/data.jsonl
rename to src/promptflow-devkit/promptflow/_cli/data/standard_flow/data.jsonl
diff --git a/src/promptflow/promptflow/_cli/data/standard_flow/flow.dag.yaml b/src/promptflow-devkit/promptflow/_cli/data/standard_flow/flow.dag.yaml
similarity index 100%
rename from src/promptflow/promptflow/_cli/data/standard_flow/flow.dag.yaml
rename to src/promptflow-devkit/promptflow/_cli/data/standard_flow/flow.dag.yaml
diff --git a/src/promptflow/promptflow/_cli/data/standard_flow/hello.jinja2 b/src/promptflow-devkit/promptflow/_cli/data/standard_flow/hello.jinja2
similarity index 100%
rename from src/promptflow/promptflow/_cli/data/standard_flow/hello.jinja2
rename to src/promptflow-devkit/promptflow/_cli/data/standard_flow/hello.jinja2
diff --git a/src/promptflow/promptflow/_cli/data/standard_flow/hello.py b/src/promptflow-devkit/promptflow/_cli/data/standard_flow/hello.py
similarity index 93%
rename from src/promptflow/promptflow/_cli/data/standard_flow/hello.py
rename to src/promptflow-devkit/promptflow/_cli/data/standard_flow/hello.py
index 37e2e59e87c..f533b2721cd 100644
--- a/src/promptflow/promptflow/_cli/data/standard_flow/hello.py
+++ b/src/promptflow-devkit/promptflow/_cli/data/standard_flow/hello.py
@@ -2,7 +2,7 @@
 # Copyright (c) Microsoft Corporation. All rights reserved.
 # ---------------------------------------------------------
 
-from promptflow import tool
+from promptflow.core import tool
 
 # The inputs section will change based on the arguments of the tool function, after you save the code
 # Adding type to arguments and return value will help the system show the types properly
diff --git a/src/promptflow/promptflow/_cli/pf.py b/src/promptflow-devkit/promptflow/_cli/pf.py
similarity index 59%
rename from src/promptflow/promptflow/_cli/pf.py
rename to src/promptflow-devkit/promptflow/_cli/pf.py
index ba3191e5edf..fd2c8b2a272 100644
--- a/src/promptflow/promptflow/_cli/pf.py
+++ b/src/promptflow-devkit/promptflow/_cli/pf.py
@@ -1,8 +1,18 @@
+#!/usr/bin/env python
 # ---------------------------------------------------------
 # Copyright (c) Microsoft Corporation. All rights reserved.
 # ---------------------------------------------------------
+import os
+
+
+def main():
+    if os.environ.get("PF_INSTALLER") is None:
+        os.environ["PF_INSTALLER"] = "PIP"
+
+    from promptflow._cli._pf.entry import main as _main
+
+    _main()
 
-from promptflow._cli._pf.entry import main
 
 # this is a compatibility layer for the old CLI which is used for vscode extension
 if __name__ == "__main__":
diff --git a/src/promptflow/promptflow/_internal/__init__.py b/src/promptflow-devkit/promptflow/_internal/__init__.py
similarity index 75%
rename from src/promptflow/promptflow/_internal/__init__.py
rename to src/promptflow-devkit/promptflow/_internal/__init__.py
index 3ce0b60d170..1e67a783601 100644
--- a/src/promptflow/promptflow/_internal/__init__.py
+++ b/src/promptflow-devkit/promptflow/_internal/__init__.py
@@ -6,14 +6,13 @@
 # flake8: noqa
 
 """Put some imports here for internal packages to minimize the effort of refactoring."""
-from promptflow._constants import PROMPTFLOW_CONNECTIONS
+from promptflow._constants import PROMPTFLOW_CONNECTIONS, SpanAttributeFieldName, TraceEnvironmentVariableName
 from promptflow._core._errors import GenerateMetaUserError, PackageToolNotFoundError, ToolExecutionError
 from promptflow._core.cache_manager import AbstractCacheManager, CacheManager, enable_cache
 from promptflow._core.connection_manager import ConnectionManager
 from promptflow._core.flow_execution_context import FlowExecutionContext
 from promptflow._core.log_manager import NodeLogManager, NodeLogWriter
 from promptflow._core.metric_logger import add_metric_logger
-from promptflow._core.operation_context import OperationContext
 from promptflow._core.run_tracker import RunRecordNotFound, RunTracker
 from promptflow._core.tool import ToolInvoker, ToolProvider, tool
 from promptflow._core.tool_meta_generator import (
@@ -41,25 +40,14 @@
     register_connections,
     retrieve_tool_func_result,
 )
-from promptflow._sdk._constants import LOCAL_MGMT_DB_PATH
-from promptflow._sdk._serving.response_creator import ResponseCreator
-from promptflow._sdk._serving.swagger import generate_swagger
-from promptflow._sdk._serving.utils import (
-    get_output_fields_to_remove,
-    get_sample_json,
-    handle_error_to_response,
-    load_request_data,
-    streaming_response_required,
-    validate_request_data,
-)
-from promptflow._sdk._utils import (
-    get_used_connection_names_from_environment_variables,
-    setup_user_agent_to_operation_context,
-    update_environment_variables_with_connections,
-)
+from promptflow._proxy import ProxyFactory
+from promptflow._proxy._base_executor_proxy import APIBasedExecutorProxy
+from promptflow._proxy._csharp_executor_proxy import CSharpBaseExecutorProxy
+from promptflow._sdk._constants import LOCAL_MGMT_DB_PATH, CreatedByFieldName
+from promptflow._sdk._service.apis.collector import trace_collector
 from promptflow._utils.context_utils import _change_working_dir, inject_sys_path
 from promptflow._utils.credential_scrubber import CredentialScrubber
-from promptflow._utils.dataclass_serializer import deserialize_dataclass, serialize
+from promptflow._utils.dataclass_serializer import deserialize_dataclass
 from promptflow._utils.exception_utils import (
     ErrorResponse,
     ExceptionPresenter,
@@ -90,12 +78,12 @@
     ResourceType,
 )
 from promptflow._utils.multimedia_utils import (
-    _create_image_from_file,
-    convert_multimedia_data_to_base64,
-    is_multimedia_dict,
+    MultimediaProcessor,
+    load_multimedia_data_recursively,
     persist_multimedia_data,
     resolve_multimedia_data_recursively,
 )
+from promptflow._utils.user_agent_utils import setup_user_agent_to_operation_context
 from promptflow._utils.utils import (
     AttrDict,
     camel_to_snake,
@@ -106,9 +94,26 @@
     transpose,
 )
 from promptflow._version import VERSION
-from promptflow.batch._csharp_base_executor_proxy import CSharpBaseExecutorProxy
+from promptflow.core._serving.response_creator import ResponseCreator
+from promptflow.core._serving.swagger import generate_swagger
+from promptflow.core._serving.utils import (
+    get_output_fields_to_remove,
+    get_sample_json,
+    handle_error_to_response,
+    load_request_data,
+    streaming_response_required,
+    validate_request_data,
+)
+from promptflow.core._utils import (
+    get_used_connection_names_from_environment_variables,
+    update_environment_variables_with_connections,
+)
 from promptflow.executor._errors import InputNotFound
 from promptflow.executor._tool_invoker import DefaultToolInvoker
 from promptflow.storage._run_storage import DefaultRunStorage
-from promptflow.tracing._openai_injector import inject_openai_api
+from promptflow.tracing._constants import PF_TRACING_SKIP_LOCAL_SETUP_ENVIRON
+from promptflow.tracing._integrations._openai_injector import inject_openai_api
+from promptflow.tracing._operation_context import OperationContext
+from promptflow.tracing._start_trace import setup_exporter_from_environ
 from promptflow.tracing._tracer import Tracer
+from promptflow.tracing._utils import serialize
diff --git a/src/promptflow-devkit/promptflow/_proxy/__init__.py b/src/promptflow-devkit/promptflow/_proxy/__init__.py
new file mode 100644
index 00000000000..d285b4bfd63
--- /dev/null
+++ b/src/promptflow-devkit/promptflow/_proxy/__init__.py
@@ -0,0 +1,9 @@
+# ---------------------------------------------------------
+# Copyright (c) Microsoft Corporation. All rights reserved.
+# ---------------------------------------------------------
+
+from ._base_executor_proxy import AbstractExecutorProxy
+from ._base_inspector_proxy import AbstractInspectorProxy
+from ._proxy_factory import ProxyFactory
+
+__all__ = ["ProxyFactory", "AbstractInspectorProxy", "AbstractExecutorProxy"]
diff --git a/src/promptflow/promptflow/batch/_base_executor_proxy.py b/src/promptflow-devkit/promptflow/_proxy/_base_executor_proxy.py
similarity index 57%
rename from src/promptflow/promptflow/batch/_base_executor_proxy.py
rename to src/promptflow-devkit/promptflow/_proxy/_base_executor_proxy.py
index 2ddef43823a..1daf4a0330e 100644
--- a/src/promptflow/promptflow/batch/_base_executor_proxy.py
+++ b/src/promptflow-devkit/promptflow/_proxy/_base_executor_proxy.py
@@ -7,20 +7,29 @@
 from datetime import datetime
 from json import JSONDecodeError
 from pathlib import Path
-from typing import Any, Mapping, Optional
+from typing import Any, Dict, List, Mapping, NoReturn, Optional
 
 import httpx
 
 from promptflow._constants import DEFAULT_ENCODING, LINE_TIMEOUT_SEC
-from promptflow._core._errors import MetaFileNotFound, MetaFileReadError, NotSupported, UnexpectedError
-from promptflow._sdk._constants import FLOW_META_JSON, FLOW_TOOLS_JSON, PROMPT_FLOW_DIR_NAME
+from promptflow._core._errors import NotSupported, UnexpectedError
+from promptflow._sdk._constants import (
+    DAG_FILE_NAME,
+    FLOW_META_JSON,
+    FLOW_META_JSON_GEN_TIMEOUT,
+    FLOW_TOOLS_JSON,
+    FLOW_TOOLS_JSON_GEN_TIMEOUT,
+    PROMPT_FLOW_DIR_NAME,
+)
 from promptflow._utils.async_utils import async_run_allowing_running_loop
 from promptflow._utils.exception_utils import ErrorResponse, ExceptionPresenter
+from promptflow._utils.flow_utils import is_flex_flow, read_json_content
 from promptflow._utils.logger_utils import bulk_logger
 from promptflow._utils.utils import load_json
 from promptflow.batch._errors import ExecutorServiceUnhealthy
 from promptflow.contracts.run_info import FlowRunInfo
 from promptflow.exceptions import ErrorTarget, ValidationException
+from promptflow.executor._errors import AggregationNodeExecutionTimeoutError, LineExecutionTimeoutError
 from promptflow.executor._result import AggregationResult, LineResult
 from promptflow.storage._run_storage import AbstractRunStorage
 
@@ -29,31 +38,85 @@
 
 class AbstractExecutorProxy:
     @classmethod
-    def get_tool_metadata(cls, flow_file: Path, working_dir: Optional[Path] = None) -> dict:
-        """Generate tool metadata file for the specified flow."""
-        return cls._get_tool_metadata(flow_file, working_dir or flow_file.parent)
+    def dump_metadata(cls, flow_file: Path, working_dir: Path) -> NoReturn:
+        """Generate metadata for a specific flow."""
+        cls.generate_flow_tools_json(flow_file, working_dir, dump=True)
+        cls.generate_flow_json(flow_file, working_dir, dump=True)
 
-    def _get_flow_meta(self) -> dict:
-        """Get the flow metadata from"""
+    @classmethod
+    def generate_flow_tools_json(
+        cls,
+        flow_file: Path,
+        working_dir: Path,
+        dump: bool = True,
+        timeout: int = FLOW_TOOLS_JSON_GEN_TIMEOUT,
+        load_in_subprocess: bool = True,
+    ) -> dict:
+        """Generate flow.tools.json for the specified flow."""
+        if is_flex_flow(file_path=flow_file, working_dir=working_dir):
+            return {}
+        else:
+            return cls._generate_flow_tools_json(flow_file, working_dir, dump, timeout, load_in_subprocess)
+
+    @classmethod
+    def _generate_flow_tools_json(
+        cls,
+        flow_file: Path,
+        working_dir: Path,
+        dump: bool = True,
+        timeout: int = FLOW_TOOLS_JSON_GEN_TIMEOUT,
+        load_in_subprocess: bool = True,
+    ) -> dict:
         raise NotImplementedError()
 
-    def get_inputs_definition(self) -> Mapping[str, Any]:
-        """Get the inputs definition of an eager flow"""
-        from promptflow.contracts.flow import FlowInputDefinition
+    @classmethod
+    def generate_flow_json(
+        cls,
+        flow_file: Path,
+        working_dir: Path,
+        dump: bool = True,
+        timeout: int = FLOW_META_JSON_GEN_TIMEOUT,
+        load_in_subprocess: bool = True,
+    ) -> Dict[str, Any]:
+        """Generate metadata for a specific flow.
+
+        :param flow_file: The path of the flow file.
+        :type flow_file: Path
+        :param working_dir: The working directory to generate the flow metadata. It will impact the packages to load
+            and the location of generated flow.json file when dump is True.
+        :type working_dir: Path
+        :param dump: Whether to dump the metadata to .promptflow/flow.json.
+        :type dump: bool
+        :param timeout: The timeout for the flow execution. Default timeout is 60 seconds.
+        :type timeout: int
+        :param load_in_subprocess: Whether to load the flow in a subprocess. This parameter works for Python flow only.
+        :type load_in_subprocess: bool
+        :return: The metadata of the flow.
+        :rtype: Dict[str, Any]
+        """
+        if is_flex_flow(file_path=flow_file, working_dir=working_dir):
+            return cls._generate_flow_json(flow_file, working_dir, dump, timeout, load_in_subprocess)
+        else:
+            return {}
 
-        flow_meta = self._get_flow_meta()
-        inputs = {}
-        for key, value in flow_meta.get("inputs", {}).items():
-            # TODO: update this after we determine whether to accept list here or now
-            _type = value.get("type")
-            if isinstance(_type, list):
-                _type = _type[0]
-            value["type"] = _type
-            inputs[key] = FlowInputDefinition.deserialize(value)
-        return inputs
+    @classmethod
+    def _generate_flow_json(
+        cls,
+        flow_file: Path,
+        working_dir: Path,
+        dump: bool = True,
+        timeout: int = FLOW_META_JSON_GEN_TIMEOUT,
+        load_in_subprocess: bool = True,
+    ) -> Dict[str, Any]:
+        raise NotImplementedError()
 
     @classmethod
-    def _get_tool_metadata(cls, flow_file: Path, working_dir: Path) -> dict:
+    def get_used_connection_names(cls, flow_file: Path, working_dir: Path) -> List[str]:
+        """Get the used connection names in the flow."""
+        raise NotImplementedError()
+
+    def get_inputs_definition(self):
+        """Get the inputs definition of an eager flow"""
         raise NotImplementedError()
 
     @classmethod
@@ -64,6 +127,7 @@ async def create(
         *,
         connections: Optional[dict] = None,
         storage: Optional[AbstractRunStorage] = None,
+        init_kwargs: Optional[Dict[str, Any]] = None,
         **kwargs,
     ) -> "AbstractExecutorProxy":
         """Create a new executor"""
@@ -95,6 +159,11 @@ async def ensure_executor_health(self):
         """Ensure the executor service is healthy before execution"""
         pass
 
+    @classmethod
+    def is_flex_flow_entry(cls, entry: str):
+        """Returns True if entry is flex flow's entry."""
+        raise NotImplementedError()
+
 
 class APIBasedExecutorProxy(AbstractExecutorProxy):
     def __init__(
@@ -147,63 +216,68 @@ async def _deactivate_generator(self):
         self._active_generator_count -= 1
 
     async def _all_generators_exhausted(self):
-        """For streaming output, we will return a generator for the output, and the execution service
-        should keep alive until the generator is exhausted.
+        """For streaming output in api-based executor proxy, we will return a generator for the output,
+        and the execution service should keep alive until the generator is exhausted.
 
         This method is to check if all generators are exhausted.
         """
         # the count should never be negative, but still check it here for safety
         return self._active_generator_count <= 0
 
-    async def destroy_if_all_generators_exhausted(self):
-        """
-        client.stream api in exec_line function won't pass all response one time.
-        For API-based streaming chat flow, if executor proxy is destroyed, it will kill service process
-        and connection will close. this will result in subsequent getting generator content failed.
+    # endregion
 
-        Besides, external caller usually wait for the destruction of executor proxy before it can continue and iterate
-        the generator content, so we can't keep waiting here.
+    @classmethod
+    def dump_metadata(cls, flow_file: Path, working_dir: Path) -> NoReturn:
+        # In abstract class, dump_metadata may redirect to generate_tools_json and generate_flow_json
+        # However, for APIBasedExecutorProxy, we can't get the meta in current process, so generate_tools_json
+        # and generate_flow_json should rely on the metadata file dumped by dump_metadata instead.
 
-        On the other hand, the subprocess for execution service is not started in detach mode;
-        it wll exit when parent process exit. So we simply skip the destruction here.
-        """
-        if await self._all_generators_exhausted():
-            await self.destroy()
+        # for local, they should override this method and dump metadata, like via a subprocess command
+        # for cloud, they will assume that metadata has already been dumped into the flow directory so do nothing here
+        return
 
-    # endregion
-
-    def _get_flow_meta(self) -> dict:
-        flow_meta_json_path = self.working_dir / PROMPT_FLOW_DIR_NAME / FLOW_META_JSON
-        if not flow_meta_json_path.is_file():
-            raise MetaFileNotFound(
-                message_format=(
-                    # TODO: pf flow validate should be able to generate flow.json
-                    "Failed to fetch meta of inputs: cannot find {file_path}, please retry."
-                ),
-                file_path=flow_meta_json_path.absolute().as_posix(),
-            )
+    def get_inputs_definition(self):
+        """Get the inputs definition of an eager flow"""
+        from promptflow.contracts.flow import FlowInputDefinition
 
-        with open(flow_meta_json_path, mode="r", encoding=DEFAULT_ENCODING) as flow_meta_json_path:
-            return json.load(flow_meta_json_path)
+        flow_meta = self.generate_flow_json(
+            flow_file=self.working_dir / DAG_FILE_NAME,
+            working_dir=self.working_dir,
+            dump=False,
+        )
+        inputs = {}
+        for key, value in flow_meta.get("inputs", {}).items():
+            # TODO: update this after we determine whether to accept list here or now
+            _type = value.get("type")
+            if isinstance(_type, list):
+                _type = _type[0]
+            value["type"] = _type
+            inputs[key] = FlowInputDefinition.deserialize(value)
+        return inputs
 
     @classmethod
-    def _get_tool_metadata(cls, flow_file: Path, working_dir: Path) -> dict:
+    def _generate_flow_tools_json(
+        cls,
+        flow_file: Path,
+        working_dir: Path,
+        dump: bool = True,
+        timeout: int = FLOW_TOOLS_JSON_GEN_TIMEOUT,
+        load_in_subprocess: bool = True,
+    ) -> dict:
         flow_tools_json_path = working_dir / PROMPT_FLOW_DIR_NAME / FLOW_TOOLS_JSON
-        if flow_tools_json_path.is_file():
-            with open(flow_tools_json_path, mode="r", encoding=DEFAULT_ENCODING) as f:
-                try:
-                    return json.load(f)
-                except json.JSONDecodeError:
-                    raise MetaFileReadError(
-                        message_format="Failed to fetch meta of tools: {file_path} is not a valid json file.",
-                        file_path=flow_tools_json_path.absolute().as_posix(),
-                    )
-        raise MetaFileNotFound(
-            message_format=(
-                "Failed to fetch meta of tools: cannot find {file_path}, please build the flow project first."
-            ),
-            file_path=flow_tools_json_path.absolute().as_posix(),
-        )
+        return read_json_content(flow_tools_json_path, "meta of tools")
+
+    @classmethod
+    def _generate_flow_json(
+        cls,
+        flow_file: Path,
+        working_dir: Path,
+        dump: bool = True,
+        timeout: int = FLOW_META_JSON_GEN_TIMEOUT,
+        load_in_subprocess: bool = True,
+    ) -> Dict[str, Any]:
+        flow_json_path = working_dir / PROMPT_FLOW_DIR_NAME / FLOW_META_JSON
+        return read_json_content(flow_json_path, "meta of tools")
 
     @property
     def api_endpoint(self) -> str:
@@ -217,7 +291,7 @@ def api_endpoint(self) -> str:
     @property
     def chat_output_name(self) -> Optional[str]:
         """The name of the chat output in the line result. Return None if the bonded flow is not a chat flow."""
-        # TODO: implement this based on _get_flow_meta
+        # TODO: implement this based on _generate_flow_json
         return None
 
     def exec_line(
@@ -238,8 +312,6 @@ def exec_line(
         :type index: Optional[int]
         :param run_id: The id of the run.
         :type run_id: Optional[str]
-        :param enable_stream_output: Whether to enable the stream output.
-        :type enable_stream_output: bool
         :return: The line result.
         :rtype: LineResult
         """
@@ -261,7 +333,7 @@ def generator():
             with httpx.Client() as client:
                 with client.stream("POST", url, json=payload, timeout=LINE_TIMEOUT_SEC, headers=headers) as response:
                     if response.status_code != 200:
-                        result = self._process_http_response(response)
+                        result = self._process_error_response(response)
                         run_info = FlowRunInfo.create_with_error(start_time, inputs, index, run_id, result)
                         yield LineResult(output={}, aggregation_inputs={}, run_info=run_info, node_run_infos={})
                     for line in response.iter_lines():
@@ -296,22 +368,38 @@ async def exec_line_async(
         run_id: Optional[str] = None,
     ) -> LineResult:
         if self.enable_stream_output:
-            # Todo: update to async, will get no result in "async for" of final_generator function in async mode
+            # TODO: update to async, will get no result in "async for" of final_generator function in async mode
             raise NotSupported("Stream output is not supported in async mode for now")
 
+        response = None
         start_time = datetime.utcnow()
-        # call execution api to get line results
-        url = self.api_endpoint + "/execution"
-        payload = {"run_id": run_id, "line_number": index, "inputs": inputs}
-
-        async with httpx.AsyncClient() as client:
-            response = await client.post(url, json=payload, timeout=LINE_TIMEOUT_SEC)
-        # process the response
-        result = self._process_http_response(response)
-        if response.status_code != 200:
-            run_info = FlowRunInfo.create_with_error(start_time, inputs, index, run_id, result)
-            return LineResult(output={}, aggregation_inputs={}, run_info=run_info, node_run_infos={})
-        return LineResult.deserialize(result)
+        try:
+            # Call execution api to get line results
+            url = self.api_endpoint + "/execution"
+            payload = {"run_id": run_id, "line_number": index, "inputs": inputs}
+            async with httpx.AsyncClient() as client:
+                response = await client.post(url, json=payload, timeout=LINE_TIMEOUT_SEC)
+            # This will raise an HTTPError for 4xx/5xx responses
+            response.raise_for_status()
+            return LineResult.deserialize(response.json())
+        except httpx.ReadTimeout:
+            ex = LineExecutionTimeoutError(line_number=index, timeout=LINE_TIMEOUT_SEC)
+        except httpx.HTTPStatusError:
+            # For 4xx and 5xx status codes
+            ex = self._process_error_response(response)
+        except Exception as e:
+            ex = UnexpectedError(
+                target=ErrorTarget.BATCH,
+                message_format=(
+                    "Unexpected error occurred while executing one line in the batch run. "
+                    "Error: {error_type_and_message}."
+                ),
+                error_type_and_message=f"({e.__class__.__name__}) {e}",
+            )
+        # If any exception occurs, format and return a line result with error
+        error = ExceptionPresenter.create(ex).to_dict() if isinstance(ex, Exception) else ex
+        run_info = FlowRunInfo.create_with_error(start_time, inputs, index, run_id, error)
+        return LineResult(output={}, aggregation_inputs={}, run_info=run_info, node_run_infos={})
 
     async def exec_aggregation_async(
         self,
@@ -319,13 +407,30 @@ async def exec_aggregation_async(
         aggregation_inputs: Mapping[str, Any],
         run_id: Optional[str] = None,
     ) -> AggregationResult:
-        # call aggregation api to get aggregation result
-        async with httpx.AsyncClient() as client:
+        response = None
+        try:
+            # Call aggregation api to get aggregation result
             url = self.api_endpoint + "/aggregation"
             payload = {"run_id": run_id, "batch_inputs": batch_inputs, "aggregation_inputs": aggregation_inputs}
-            response = await client.post(url, json=payload, timeout=LINE_TIMEOUT_SEC)
-        result = self._process_http_response(response)
-        return AggregationResult.deserialize(result)
+            async with httpx.AsyncClient() as client:
+                response = await client.post(url, json=payload, timeout=LINE_TIMEOUT_SEC)
+            # This will raise an HTTPError for 4xx/5xx responses
+            response.raise_for_status()
+            return AggregationResult.deserialize(response.json())
+        except httpx.ReadTimeout:
+            raise AggregationNodeExecutionTimeoutError(timeout=LINE_TIMEOUT_SEC)
+        except Exception as e:
+            ex_msg = f"({e.__class__.__name__}) {e}"
+            if isinstance(e, httpx.HTTPStatusError):
+                error_dict = self._process_error_response(e.response)
+                ex_msg = error_dict["message"]
+            raise UnexpectedError(
+                target=ErrorTarget.BATCH,
+                message_format=(
+                    "Unexpected error occurred while executing aggregation nodes in the batch run. Error: {ex_msg}"
+                ),
+                ex_msg=ex_msg,
+            )
 
     async def ensure_executor_startup(self, error_file):
         """Ensure the executor service is initialized before calling the API to get the results"""
@@ -388,23 +493,19 @@ def _check_startup_error_from_file(self, error_file) -> Exception:
             return ValidationException(error_response.message, target=ErrorTarget.BATCH)
         return None
 
-    def _process_http_response(self, response: httpx.Response):
-        if response.status_code == 200:
-            # if the status code is 200, the response is the json dict of a line result
-            return response.json()
-        else:
-            # use this instead of response.text to handle streaming response
-            response_text = response.read().decode(DEFAULT_ENCODING)
-            # if the status code is not 200, log the error
-            message_format = "Unexpected error when executing a line, status code: {status_code}, error: {error}"
-            bulk_logger.error(message_format.format(status_code=response.status_code, error=response_text))
-            # if response can be parsed as json, return the error dict
-            # otherwise, wrap the error in an UnexpectedError and return the error dict
-            try:
-                error_dict = json.loads(response_text)
-                return error_dict["error"]
-            except (JSONDecodeError, KeyError):
-                unexpected_error = UnexpectedError(
-                    message_format=message_format, status_code=response.status_code, error=response_text
-                )
-                return ExceptionPresenter.create(unexpected_error).to_dict()
+    def _process_error_response(self, response: httpx.Response):
+        # use this instead of response.text to handle streaming response
+        response_text = response.read().decode(DEFAULT_ENCODING)
+        # if the status code is not 200, log the error
+        message_format = "Unexpected error when executing a line, status code: {status_code}, error: {error}"
+        bulk_logger.error(message_format.format(status_code=response.status_code, error=response_text))
+        # if response can be parsed as json, return the error dict
+        # otherwise, wrap the error in an UnexpectedError and return the error dict
+        try:
+            error_dict = json.loads(response_text)
+            return error_dict["error"]
+        except (JSONDecodeError, KeyError):
+            unexpected_error = UnexpectedError(
+                message_format=message_format, status_code=response.status_code, error=response_text
+            )
+            return ExceptionPresenter.create(unexpected_error).to_dict()
diff --git a/src/promptflow-devkit/promptflow/_proxy/_base_inspector_proxy.py b/src/promptflow-devkit/promptflow/_proxy/_base_inspector_proxy.py
new file mode 100644
index 00000000000..8d41ec93a10
--- /dev/null
+++ b/src/promptflow-devkit/promptflow/_proxy/_base_inspector_proxy.py
@@ -0,0 +1,34 @@
+# ---------------------------------------------------------
+# Copyright (c) Microsoft Corporation. All rights reserved.
+# ---------------------------------------------------------
+from pathlib import Path
+from typing import Dict, List
+
+
+class AbstractInspectorProxy:
+    """Inspector proxies may provide language specific ability to inspect definition of a Flow.
+    Definition may include:
+    - Used connection names
+    - Used tools
+    - Available tools under current environment
+    - Input and output ports of the flow
+    - etc.
+
+    Such information need to be extracted with reflection in language specific runtime environment, so each language
+    may have its own inspector proxy; on the other hand, different from executor proxy, whose instance will be bonded
+    to a specific flow, inspector proxy is stateless and can be used on a flow before its initialization.
+    """
+
+    def __init__(self):
+        pass
+
+    def get_used_connection_names(
+        self, flow_file: Path, working_dir: Path, environment_variables_overrides: Dict[str, str] = None
+    ) -> List[str]:
+        """Check the type of each node input/attribute and return the connection names used in the flow."""
+        raise NotImplementedError()
+
+    @classmethod
+    def is_flex_flow_entry(self, entry: str) -> bool:
+        """Check if the flow is a flex flow entry."""
+        raise NotImplementedError()
diff --git a/src/promptflow/promptflow/batch/_csharp_base_executor_proxy.py b/src/promptflow-devkit/promptflow/_proxy/_csharp_base_executor_proxy.py
similarity index 95%
rename from src/promptflow/promptflow/batch/_csharp_base_executor_proxy.py
rename to src/promptflow-devkit/promptflow/_proxy/_csharp_base_executor_proxy.py
index 1d88a00f6d6..84741968d94 100644
--- a/src/promptflow/promptflow/batch/_csharp_base_executor_proxy.py
+++ b/src/promptflow-devkit/promptflow/_proxy/_csharp_base_executor_proxy.py
@@ -4,7 +4,7 @@
 from pathlib import Path
 from typing import Any, List, Mapping, Optional
 
-from promptflow.batch._base_executor_proxy import APIBasedExecutorProxy
+from promptflow._proxy._base_executor_proxy import APIBasedExecutorProxy
 from promptflow.executor._result import AggregationResult
 
 EXECUTOR_SERVICE_DLL = "Promptflow.dll"
diff --git a/src/promptflow/promptflow/batch/_csharp_executor_proxy.py b/src/promptflow-devkit/promptflow/_proxy/_csharp_executor_proxy.py
similarity index 68%
rename from src/promptflow/promptflow/batch/_csharp_executor_proxy.py
rename to src/promptflow-devkit/promptflow/_proxy/_csharp_executor_proxy.py
index fe8bd299d55..e98c415445b 100644
--- a/src/promptflow/promptflow/batch/_csharp_executor_proxy.py
+++ b/src/promptflow-devkit/promptflow/_proxy/_csharp_executor_proxy.py
@@ -1,16 +1,21 @@
 # ---------------------------------------------------------
 # Copyright (c) Microsoft Corporation. All rights reserved.
 # ---------------------------------------------------------
+import platform
+import signal
 import socket
 import subprocess
 import uuid
 from pathlib import Path
-from typing import Optional
+from typing import NoReturn, Optional
 
 from promptflow._core._errors import UnexpectedError
-from promptflow.batch._csharp_base_executor_proxy import CSharpBaseExecutorProxy
+from promptflow._sdk._constants import OSType
+from promptflow._utils.flow_utils import is_flex_flow
 from promptflow.storage._run_storage import AbstractRunStorage
 
+from ._csharp_base_executor_proxy import CSharpBaseExecutorProxy
+
 EXECUTOR_SERVICE_DOMAIN = "http://localhost:"
 EXECUTOR_SERVICE_DLL = "Promptflow.dll"
 
@@ -46,9 +51,9 @@ def chat_output_name(self) -> Optional[str]:
         return self._chat_output_name
 
     @classmethod
-    def generate_metadata(cls, flow_file: Path, assembly_folder: Path):
-        """Generate metadata for the flow and save them to files under .promptflow folder.
-        including flow.json and flow.tools.json.
+    def dump_metadata(cls, flow_file: Path, working_dir: Path) -> NoReturn:
+        """In csharp, we need to generate metadata based on a dotnet command for now and the metadata will
+        always be dumped.
         """
         command = [
             "dotnet",
@@ -62,24 +67,25 @@ def generate_metadata(cls, flow_file: Path, assembly_folder: Path):
         try:
             subprocess.check_output(
                 command,
-                cwd=assembly_folder,
+                cwd=working_dir,
             )
         except subprocess.CalledProcessError as e:
             raise UnexpectedError(
-                message_format=f"Failed to generate flow meta for csharp flow.\n"
-                f"Command: {' '.join(command)}\n"
-                f"Working directory: {assembly_folder.as_posix()}\n"
-                f"Return code: {e.returncode}\n"
-                f"Output: {e.output}",
+                message_format="Failed to generate flow meta for csharp flow.\n"
+                "Command: {command}\n"
+                "Working directory: {working_directory}\n"
+                "Return code: {return_code}\n"
+                "Output: {output}",
+                command=" ".join(command),
+                working_directory=working_dir.as_posix(),
+                return_code=e.returncode,
+                output=e.output,
             )
 
     @classmethod
     def get_outputs_definition(cls, flow_file: Path, working_dir: Path) -> dict:
-        from promptflow._utils.yaml_utils import load_yaml
-
-        flow_data = load_yaml(flow_file)
         # TODO: no outputs definition for eager flow for now
-        if flow_data.get("entry", None) is not None:
+        if is_flex_flow(file_path=flow_file, working_dir=working_dir):
             return {}
 
         # TODO: get this from self._get_flow_meta for both eager flow and non-eager flow then remove
@@ -97,9 +103,11 @@ async def create(
         *,
         connections: Optional[dict] = None,
         storage: Optional[AbstractRunStorage] = None,
+        init_kwargs: Optional[dict] = None,
         **kwargs,
     ) -> "CSharpExecutorProxy":
         """Create a new executor"""
+        # TODO: support init_kwargs in csharp executor
         port = kwargs.get("port", None)
         log_path = kwargs.get("log_path", "")
         init_error_file = Path(working_dir) / f"init_error_{str(uuid.uuid4())}.json"
@@ -144,11 +152,35 @@ async def create(
         return executor_proxy
 
     async def destroy(self):
-        """Destroy the executor"""
+        """Destroy the executor service.
+
+        client.stream api in exec_line function won't pass all response one time.
+        For API-based streaming chat flow, if executor proxy is destroyed, it will kill service process
+        and connection will close. this will result in subsequent getting generator content failed.
+
+        Besides, external caller usually wait for the destruction of executor proxy before it can continue and iterate
+        the generator content, so we can't keep waiting here.
+
+        On the other hand, the subprocess for execution service is not started in detach mode;
+        it wll exit when parent process exit. So we simply skip the destruction here.
+        """
+
+        # TODO 3033484: update this after executor service support graceful shutdown
+        if not await self._all_generators_exhausted():
+            raise UnexpectedError(
+                message_format="The executor service is still handling a stream request "
+                "whose response is not fully consumed yet."
+            )
+
         # process is not None, it means the executor service is started by the current executor proxy
         # and should be terminated when the executor proxy is destroyed if the service is still active
         if self._process and self._is_executor_active():
-            self._process.terminate()
+            if platform.system() == OSType.WINDOWS:
+                # send CTRL_C_EVENT to the process to gracefully terminate the service
+                self._process.send_signal(signal.CTRL_C_EVENT)
+            else:
+                # for Linux and MacOS, Popen.terminate() will send SIGTERM to the process
+                self._process.terminate()
             try:
                 self._process.wait(timeout=5)
             except subprocess.TimeoutExpired:
diff --git a/src/promptflow-devkit/promptflow/_proxy/_csharp_inspector_proxy.py b/src/promptflow-devkit/promptflow/_proxy/_csharp_inspector_proxy.py
new file mode 100644
index 00000000000..bba34e26e04
--- /dev/null
+++ b/src/promptflow-devkit/promptflow/_proxy/_csharp_inspector_proxy.py
@@ -0,0 +1,44 @@
+import re
+from collections import defaultdict
+from pathlib import Path
+from typing import Dict, List
+
+import pydash
+
+from promptflow._sdk._constants import ALL_CONNECTION_TYPES, FLOW_TOOLS_JSON, PROMPT_FLOW_DIR_NAME
+from promptflow._utils.flow_utils import read_json_content
+from promptflow._utils.yaml_utils import load_yaml
+
+from ._base_inspector_proxy import AbstractInspectorProxy
+
+
+class CSharpInspectorProxy(AbstractInspectorProxy):
+    def __init__(self):
+        super().__init__()
+
+    def get_used_connection_names(
+        self, flow_file: Path, working_dir: Path, environment_variables_overrides: Dict[str, str] = None
+    ) -> List[str]:
+        # TODO: support environment_variables_overrides
+        flow_tools_json_path = working_dir / PROMPT_FLOW_DIR_NAME / FLOW_TOOLS_JSON
+        tools_meta = read_json_content(flow_tools_json_path, "meta of tools")
+        flow_dag = load_yaml(flow_file)
+
+        connection_inputs = defaultdict(set)
+        for package_id, package_meta in tools_meta.get("package", {}).items():
+            for tool_input_key, tool_input_meta in package_meta.get("inputs", {}).items():
+                if ALL_CONNECTION_TYPES.intersection(set(tool_input_meta.get("type"))):
+                    connection_inputs[package_id].add(tool_input_key)
+
+        connection_names = set()
+        # TODO: we assume that all variants are resolved here
+        # TODO: only literal connection inputs are supported
+        # TODO: check whether we should ask for a specific function in csharp-core
+        for node in flow_dag.get("nodes", []):
+            package_id = pydash.get(node, "source.tool")
+            if package_id in connection_inputs:
+                for connection_input in connection_inputs[package_id]:
+                    connection_name = pydash.get(node, f"inputs.{connection_input}")
+                    if connection_name and not re.match(r"\${.*}", connection_name):
+                        connection_names.add(connection_name)
+        return list(connection_names)
diff --git a/src/promptflow-devkit/promptflow/_proxy/_proxy_factory.py b/src/promptflow-devkit/promptflow/_proxy/_proxy_factory.py
new file mode 100644
index 00000000000..aa06a8b7809
--- /dev/null
+++ b/src/promptflow-devkit/promptflow/_proxy/_proxy_factory.py
@@ -0,0 +1,65 @@
+# ---------------------------------------------------------
+# Copyright (c) Microsoft Corporation. All rights reserved.
+# ---------------------------------------------------------
+
+from typing import Dict, Type
+
+from promptflow._constants import FlowLanguage
+from promptflow._proxy._base_executor_proxy import AbstractExecutorProxy
+from promptflow._proxy._base_inspector_proxy import AbstractInspectorProxy
+from promptflow._proxy._csharp_executor_proxy import CSharpExecutorProxy
+from promptflow._proxy._python_executor_proxy import PythonExecutorProxy
+from promptflow._utils.async_utils import async_run_allowing_running_loop
+
+
+class ProxyFactory:
+    executor_proxy_classes: Dict[str, Type[AbstractExecutorProxy]] = {
+        FlowLanguage.Python: PythonExecutorProxy,
+        FlowLanguage.CSharp: CSharpExecutorProxy,
+    }
+
+    def __init__(self):
+        pass
+
+    def get_executor_proxy_cls(self, language: str) -> Type[AbstractExecutorProxy]:
+        return self.executor_proxy_classes[language]
+
+    @classmethod
+    def register_executor(cls, language: str, executor_proxy_cls: Type[AbstractExecutorProxy]):
+        """Register a executor proxy class for a specific program language.
+
+        This method allows users to register a executor proxy class for a particular
+        programming language. The executor proxy class will be used when creating an instance
+        of the BatchEngine for flows written in the specified language.
+
+        :param language: The flow program language of the executor proxy,
+        :type language: str
+        :param executor_proxy_cls: The executor proxy class to be registered.
+        :type executor_proxy_cls:  ~promptflow.batch.AbstractExecutorProxy
+        """
+        cls.executor_proxy_classes[language] = executor_proxy_cls
+
+    def create_executor_proxy(
+        self, flow_file, working_dir, connections, storage, language: str, init_kwargs: dict = None, **kwargs
+    ) -> AbstractExecutorProxy:
+        executor_proxy_cls = self.get_executor_proxy_cls(language)
+        return async_run_allowing_running_loop(
+            executor_proxy_cls.create,
+            flow_file,
+            working_dir,
+            connections=connections,
+            storage=storage,
+            init_kwargs=init_kwargs,
+            **kwargs,
+        )
+
+    def create_inspector_proxy(self, language: str, **kwargs) -> AbstractInspectorProxy:
+        if language == FlowLanguage.Python:
+            from promptflow._proxy._python_inspector_proxy import PythonInspectorProxy
+
+            return PythonInspectorProxy()
+        elif language == FlowLanguage.CSharp:
+            from promptflow._proxy._csharp_inspector_proxy import CSharpInspectorProxy
+
+            return CSharpInspectorProxy()
+        raise ValueError(f"Unsupported language: {language}")
diff --git a/src/promptflow/promptflow/batch/_python_executor_proxy.py b/src/promptflow-devkit/promptflow/_proxy/_python_executor_proxy.py
similarity index 63%
rename from src/promptflow/promptflow/batch/_python_executor_proxy.py
rename to src/promptflow-devkit/promptflow/_proxy/_python_executor_proxy.py
index 1f22fd69add..5c0d58ac1b3 100644
--- a/src/promptflow/promptflow/batch/_python_executor_proxy.py
+++ b/src/promptflow-devkit/promptflow/_proxy/_python_executor_proxy.py
@@ -1,27 +1,53 @@
 # ---------------------------------------------------------
 # Copyright (c) Microsoft Corporation. All rights reserved.
 # ---------------------------------------------------------
-
+import re
 from pathlib import Path
-from typing import Any, List, Mapping, Optional, Tuple
+from typing import Any, Dict, List, Mapping, Optional, Tuple
 
+from promptflow._constants import FlowEntryRegex
 from promptflow._core._errors import UnexpectedError
-from promptflow._core.operation_context import OperationContext
 from promptflow._core.run_tracker import RunTracker
+from promptflow._sdk._constants import FLOW_META_JSON_GEN_TIMEOUT, FLOW_TOOLS_JSON_GEN_TIMEOUT
+from promptflow._utils.flow_utils import resolve_entry_file
 from promptflow._utils.logger_utils import bulk_logger
-from promptflow.batch._base_executor_proxy import AbstractExecutorProxy
+from promptflow._utils.yaml_utils import load_yaml
 from promptflow.contracts.run_mode import RunMode
+from promptflow.core._utils import generate_flow_meta
 from promptflow.executor import FlowExecutor
 from promptflow.executor._line_execution_process_pool import LineExecutionProcessPool
 from promptflow.executor._result import AggregationResult, LineResult
 from promptflow.executor._script_executor import ScriptExecutor
 from promptflow.storage._run_storage import AbstractRunStorage
+from promptflow.tracing._operation_context import OperationContext
+
+from ._base_executor_proxy import AbstractExecutorProxy
 
 
 class PythonExecutorProxy(AbstractExecutorProxy):
     def __init__(self, flow_executor: FlowExecutor):
         self._flow_executor = flow_executor
 
+    @classmethod
+    def _generate_flow_json(
+        cls,
+        flow_file: Path,
+        working_dir: Path,
+        dump: bool = True,
+        timeout: int = FLOW_META_JSON_GEN_TIMEOUT,
+        load_in_subprocess: bool = True,
+    ) -> Dict[str, Any]:
+        flow_dag = load_yaml(flow_file)
+        # generate flow.json only for eager flow for now
+        return generate_flow_meta(
+            flow_directory=working_dir,
+            source_path=resolve_entry_file(entry=flow_dag.get("entry"), working_dir=working_dir),
+            data=flow_dag,
+            dump=dump,
+            timeout=timeout,
+            load_in_subprocess=load_in_subprocess,
+        )
+
     @classmethod
     async def create(
         cls,
@@ -30,9 +56,12 @@ async def create(
         *,
         connections: Optional[dict] = None,
         storage: Optional[AbstractRunStorage] = None,
+        init_kwargs: Optional[Dict[str, Any]] = None,
         **kwargs,
     ) -> "PythonExecutorProxy":
-        flow_executor = FlowExecutor.create(flow_file, connections, working_dir, storage=storage, raise_ex=False)
+        flow_executor = FlowExecutor.create(
+            flow_file, connections, working_dir, storage=storage, raise_ex=False, init_kwargs=init_kwargs
+        )
         return cls(flow_executor)
 
     async def exec_aggregation_async(
@@ -44,7 +73,7 @@ async def exec_aggregation_async(
         with self._flow_executor._run_tracker.node_log_manager:
             return self._flow_executor._exec_aggregation(batch_inputs, aggregation_inputs, run_id=run_id)
 
-    def _exec_batch(
+    async def _exec_batch(
         self,
         batch_inputs: List[Mapping[str, Any]],
         output_dir: Path,
@@ -70,16 +99,16 @@ def _exec_batch(
                 bulk_logger.info(f"The timeout for the batch run is {batch_timeout_sec} seconds.")
 
             with LineExecutionProcessPool(
-                self._flow_executor,
-                len(batch_inputs),
-                run_id,
                 output_dir,
-                batch_timeout_sec=batch_timeout_sec,
-                line_timeout_sec=line_timeout_sec,
+                self._flow_executor,
                 worker_count=worker_count,
+                line_timeout_sec=line_timeout_sec,
+                batch_timeout_sec=batch_timeout_sec,
+                run_id=run_id,
+                nlines=len(batch_inputs),
             ) as pool:
                 line_number = [batch_input["line_number"] for batch_input in batch_inputs]
-                line_results = pool.run(zip(line_number, batch_inputs))
+                line_results = await pool.run(zip(line_number, batch_inputs))
 
             # For bulk run, currently we need to add line results to run_tracker
             self._flow_executor._add_line_results(line_results, run_tracker)
@@ -89,11 +118,24 @@ def get_inputs_definition(self):
         return self._flow_executor.get_inputs_definition()
 
     @classmethod
-    def _get_tool_metadata(cls, flow_file: Path, working_dir: Path) -> dict:
+    def _generate_flow_tools_json(
+        cls,
+        flow_file: Path,
+        working_dir: Path,
+        dump: bool = True,
+        timeout: int = FLOW_TOOLS_JSON_GEN_TIMEOUT,
+        load_in_subprocess: bool = True,
+    ) -> dict:
         from promptflow._sdk._utils import generate_flow_tools_json
 
         return generate_flow_tools_json(
             flow_directory=working_dir,
-            dump=False,
+            dump=dump,
+            timeout=timeout,
             used_packages_only=True,
         )
+
+    @classmethod
+    def is_flex_flow_entry(cls, entry: str):
+        """Returns True if entry is flex flow's entry (in python)."""
+        return bool(isinstance(entry, str) and re.match(FlowEntryRegex.Python, entry))
diff --git a/src/promptflow-devkit/promptflow/_proxy/_python_inspector_proxy.py b/src/promptflow-devkit/promptflow/_proxy/_python_inspector_proxy.py
new file mode 100644
index 00000000000..136c268c8a8
--- /dev/null
+++ b/src/promptflow-devkit/promptflow/_proxy/_python_inspector_proxy.py
@@ -0,0 +1,26 @@
+import re
+from pathlib import Path
+from typing import Dict, List
+
+from .._constants import FlowEntryRegex
+from ._base_inspector_proxy import AbstractInspectorProxy
+
+
+class PythonInspectorProxy(AbstractInspectorProxy):
+    def __init__(self):
+        super().__init__()
+
+    def get_used_connection_names(
+        self, flow_file: Path, working_dir: Path, environment_variables_overrides: Dict[str, str] = None
+    ) -> List[str]:
+        from promptflow._utils.context_utils import _change_working_dir
+        from promptflow.contracts.flow import Flow as ExecutableFlow
+
+        with _change_working_dir(working_dir):
+            executable = ExecutableFlow.from_yaml(flow_file=flow_file, working_dir=working_dir)
+        return executable.get_connection_names(environment_variables_overrides=environment_variables_overrides)
+
+    @classmethod
+    def is_flex_flow_entry(self, entry: str) -> bool:
+        """Check if the flow is a flex flow entry."""
+        return isinstance(entry, str) and re.match(FlowEntryRegex.Python, entry)
diff --git a/src/promptflow/promptflow/_sdk/schemas/__init__.py b/src/promptflow-devkit/promptflow/_sdk/__init__.py
similarity index 100%
rename from src/promptflow/promptflow/_sdk/schemas/__init__.py
rename to src/promptflow-devkit/promptflow/_sdk/__init__.py
diff --git a/src/promptflow/promptflow/_sdk/_configuration.py b/src/promptflow-devkit/promptflow/_sdk/_configuration.py
similarity index 90%
rename from src/promptflow/promptflow/_sdk/_configuration.py
rename to src/promptflow-devkit/promptflow/_sdk/_configuration.py
index 77c8361231a..d2136116904 100644
--- a/src/promptflow/promptflow/_sdk/_configuration.py
+++ b/src/promptflow-devkit/promptflow/_sdk/_configuration.py
@@ -10,17 +10,17 @@
 
 import pydash
 
+from promptflow._constants import ConnectionProviderConfig
 from promptflow._sdk._constants import (
     DEFAULT_ENCODING,
     FLOW_DIRECTORY_MACRO_IN_CONFIG,
     HOME_PROMPT_FLOW_DIR,
     SERVICE_CONFIG_FILE,
-    ConnectionProvider,
 )
 from promptflow._sdk._utils import call_from_extension, gen_uuid_by_compute_info, read_write_by_user
 from promptflow._utils.logger_utils import get_cli_sdk_logger
 from promptflow._utils.yaml_utils import dump_yaml, load_yaml
-from promptflow.exceptions import ErrorTarget, ValidationException
+from promptflow.exceptions import ErrorTarget, UserErrorException, ValidationException
 
 logger = get_cli_sdk_logger()
 
@@ -173,8 +173,8 @@ def get_trace_provider(self) -> Optional[str]:
     @classmethod
     def resolve_connection_provider(cls, provider, path=None) -> Optional[str]:
         if provider is None:
-            return ConnectionProvider.LOCAL
-        if provider == ConnectionProvider.AZUREML.value:
+            return ConnectionProviderConfig.LOCAL
+        if provider == ConnectionProviderConfig.AZUREML:
             # Note: The below function has azure-ai-ml dependency.
             return "azureml:" + cls._get_workspace_from_config(path=path)
         # If provider not None and not Azure, return it directly.
@@ -217,6 +217,21 @@ def _validate(key: str, value: str) -> None:
                     "if you want to specify run output path under flow directory, "
                     "please use its child folder, e.g. '${flow_directory}/.runs'."
                 )
+        elif key == Configuration.TRACE_PROVIDER:
+            try:
+                from promptflow.azure._utils._tracing import validate_trace_provider
+
+                validate_trace_provider(value)
+            except ImportError:
+                msg = (
+                    '"promptflow[azure]" is required to validate trace provider, '
+                    'please install it by running "pip install promptflow[azure]" with your version.'
+                )
+                raise UserErrorException(
+                    message=msg,
+                    target=ErrorTarget.CONTROL_PLANE_SDK,
+                    no_personal_data_message=msg,
+                )
         return
 
     def get_user_agent(self) -> Optional[str]:
diff --git a/src/promptflow/promptflow/azure/_entities/__init__.py b/src/promptflow-devkit/promptflow/_sdk/_connection_provider/__init__.py
similarity index 100%
rename from src/promptflow/promptflow/azure/_entities/__init__.py
rename to src/promptflow-devkit/promptflow/_sdk/_connection_provider/__init__.py
diff --git a/src/promptflow-devkit/promptflow/_sdk/_connection_provider/_local_connection_provider.py b/src/promptflow-devkit/promptflow/_sdk/_connection_provider/_local_connection_provider.py
new file mode 100644
index 00000000000..0f3036674c0
--- /dev/null
+++ b/src/promptflow-devkit/promptflow/_sdk/_connection_provider/_local_connection_provider.py
@@ -0,0 +1,18 @@
+# ---------------------------------------------------------
+# Copyright (c) Microsoft Corporation. All rights reserved.
+# ---------------------------------------------------------
+from promptflow.core._connection_provider._connection_provider import ConnectionProvider
+
+
+class LocalConnectionProvider(ConnectionProvider):
+    """Local connection provider."""
+
+    def __init__(self):
+        from promptflow._sdk.operations._connection_operations import ConnectionOperations
+
+        self._operations = ConnectionOperations()
+
+    def get(self, name: str, **kwargs):
+        # Connection provider here target for execution, so we always get with secrets.
+        with_secrets = kwargs.pop("with_secrets", True)
+        return self._operations.get(name, with_secrets=with_secrets, **kwargs)
diff --git a/src/promptflow/promptflow/_sdk/_constants.py b/src/promptflow-devkit/promptflow/_sdk/_constants.py
similarity index 88%
rename from src/promptflow/promptflow/_sdk/_constants.py
rename to src/promptflow-devkit/promptflow/_sdk/_constants.py
index 192f485381c..825fc3f2bae 100644
--- a/src/promptflow/promptflow/_sdk/_constants.py
+++ b/src/promptflow-devkit/promptflow/_sdk/_constants.py
@@ -7,12 +7,21 @@
 from enum import Enum
 from pathlib import Path
 
+from promptflow._constants import (
+    CONNECTION_SCRUBBED_VALUE,
+    CONNECTION_SCRUBBED_VALUE_NO_CHANGE,
+    PROMPT_FLOW_DIR_NAME,
+    ConnectionAuthMode,
+    ConnectionType,
+    CustomStrongTypeConnectionConfigs,
+)
+
 LOGGER_NAME = "promptflow"
 
 PROMPT_FLOW_HOME_DIR_ENV_VAR = "PF_HOME_DIRECTORY"
 # Please avoid using PROMPT_FLOW_DIR_NAME directly for home directory, "Path.home() / PROMPT_FLOW_DIR_NAME" e.g.
 # Use HOME_PROMPT_FLOW_DIR instead
-PROMPT_FLOW_DIR_NAME = ".promptflow"
+PROMPT_FLOW_DIR_NAME = PROMPT_FLOW_DIR_NAME
 
 
 def _prepare_home_dir() -> Path:
@@ -81,6 +90,7 @@ def _prepare_home_dir() -> Path:
 PF_SERVICE_MONITOR_SECOND = 60
 PF_SERVICE_WORKER_NUM = 16
 PF_TRACE_CONTEXT = "PF_TRACE_CONTEXT"
+PF_TRACE_CONTEXT_ATTR = "attributes"
 PF_SERVICE_DEBUG = "PF_SERVICE_DEBUG"
 
 LOCAL_MGMT_DB_PATH = (HOME_PROMPT_FLOW_DIR / "pf.sqlite").resolve()
@@ -103,10 +113,9 @@ def _prepare_home_dir() -> Path:
 KEYRING_ENCRYPTION_LOCK_PATH = (HOME_PROMPT_FLOW_DIR / "encryption_key.lock").resolve()
 REFRESH_CONNECTIONS_DIR_LOCK_PATH = (HOME_PROMPT_FLOW_DIR / "refresh_connections_dir.lock").resolve()
 # Note: Use this only for show. Reading input should regard all '*' string as scrubbed, no matter the length.
-SCRUBBED_VALUE = "******"
-SCRUBBED_VALUE_NO_CHANGE = "<no-change>"
+SCRUBBED_VALUE = CONNECTION_SCRUBBED_VALUE
+SCRUBBED_VALUE_NO_CHANGE = CONNECTION_SCRUBBED_VALUE_NO_CHANGE
 SCRUBBED_VALUE_USER_INPUT = "<user-input>"
-CHAT_HISTORY = "chat_history"
 WORKSPACE_LINKED_DATASTORE_NAME = "workspaceblobstore"
 LINE_NUMBER = "line_number"
 AZUREML_PF_RUN_PROPERTIES_LINEAGE = "azureml.promptflow.input_run_id"
@@ -135,33 +144,25 @@ def _prepare_home_dir() -> Path:
 FLOW_DIRECTORY_MACRO_IN_CONFIG = "${flow_directory}"
 
 # trace
+TRACE_DEFAULT_SESSION_ID = "default"
+TRACE_DEFAULT_COLLECTION = "default"
 TRACE_MGMT_DB_PATH = (HOME_PROMPT_FLOW_DIR / "trace.sqlite").resolve()
 TRACE_MGMT_DB_SESSION_ACQUIRE_LOCK_PATH = (HOME_PROMPT_FLOW_DIR / "trace.sqlite.lock").resolve()
-SPAN_TABLENAME = "span"
+EVENT_TABLENAME = "events"
+SPAN_TABLENAME = "spans"
+LINE_RUN_TABLENAME = "line_runs"
 PFS_MODEL_DATETIME_FORMAT = "iso8601"
+SPAN_EVENTS_NAME_PF_INPUTS = "promptflow.function.inputs"
+SPAN_EVENTS_NAME_PF_OUTPUT = "promptflow.function.output"
+SPAN_EVENTS_ATTRIBUTE_PAYLOAD = "payload"
 
+UX_INPUTS_JSON = "ux.inputs.json"
 AzureMLWorkspaceTriad = namedtuple("AzureMLWorkspace", ["subscription_id", "resource_group_name", "workspace_name"])
 
-
-class CustomStrongTypeConnectionConfigs:
-    PREFIX = "promptflow.connection."
-    TYPE = "custom_type"
-    MODULE = "module"
-    PACKAGE = "package"
-    PACKAGE_VERSION = "package_version"
-    PROMPTFLOW_TYPE_KEY = PREFIX + TYPE
-    PROMPTFLOW_MODULE_KEY = PREFIX + MODULE
-    PROMPTFLOW_PACKAGE_KEY = PREFIX + PACKAGE
-    PROMPTFLOW_PACKAGE_VERSION_KEY = PREFIX + PACKAGE_VERSION
-
-    @staticmethod
-    def is_custom_key(key):
-        return key not in [
-            CustomStrongTypeConnectionConfigs.PROMPTFLOW_TYPE_KEY,
-            CustomStrongTypeConnectionConfigs.PROMPTFLOW_MODULE_KEY,
-            CustomStrongTypeConnectionConfigs.PROMPTFLOW_PACKAGE_KEY,
-            CustomStrongTypeConnectionConfigs.PROMPTFLOW_PACKAGE_VERSION_KEY,
-        ]
+# chat group
+STOP_SIGNAL = "[STOP]"
+CHAT_GROUP_REFERENCE_NAME = "parent"
+CONVERSATION_HISTORY = "conversation_history"
 
 
 class RunTypes:
@@ -169,6 +170,7 @@ class RunTypes:
     EVALUATION = "evaluation"
     PAIRWISE_EVALUATE = "pairwise_evaluate"
     COMMAND = "command"
+    CHAT_GROUP = "chat_group"
 
 
 class AzureRunTypes:
@@ -260,6 +262,7 @@ class FlowRunProperties:
     OUTPUTS = "outputs"
     RESUME_FROM = "resume_from"
     COLUMN_MAPPING = "column_mapping"
+    INIT_KWARGS = "init_kwargs"
 
 
 class CommonYamlFields:
@@ -296,6 +299,7 @@ class LocalStorageFilenames:
     DETAIL = "detail.json"
     METRICS = "metrics.json"
     LOG = "logs.txt"
+    FLOW_LOGS_FOLDER = "flow_logs"
     EXCEPTION = "error.json"
     META = "meta.json"
 
@@ -332,25 +336,6 @@ class ConfigValueType(str, Enum):
     SECRET = "Secret"
 
 
-class ConnectionType(str, Enum):
-    _NOT_SET = "NotSet"
-    AZURE_OPEN_AI = "AzureOpenAI"
-    OPEN_AI = "OpenAI"
-    QDRANT = "Qdrant"
-    COGNITIVE_SEARCH = "CognitiveSearch"
-    SERP = "Serp"
-    AZURE_CONTENT_SAFETY = "AzureContentSafety"
-    FORM_RECOGNIZER = "FormRecognizer"
-    WEAVIATE = "Weaviate"
-    SERVERLESS = "Serverless"
-    CUSTOM = "Custom"
-
-
-class ConnectionAuthMode:
-    KEY = "key"
-    MEID_TOKEN = "meid_token"  # Microsoft Entra ID
-
-
 ALL_CONNECTION_TYPES = set(
     map(lambda x: f"{x.value}Connection", filter(lambda x: x != ConnectionType._NOT_SET, ConnectionType))
 )
@@ -381,11 +366,6 @@ class RunHistoryKeys:
     HIDDEN = "hidden"
 
 
-class ConnectionProvider(str, Enum):
-    LOCAL = "local"
-    AZUREML = "azureml"
-
-
 class FlowType:
     STANDARD = "standard"
     EVALUATION = "evaluation"
@@ -425,6 +405,13 @@ class ExperimentNodeType(object):
     COMMAND = "command"
 
 
+EXP_NODE_TYPE_2_RUN_TYPE = {
+    ExperimentNodeType.FLOW: RunTypes.BATCH,
+    ExperimentNodeType.CHAT_GROUP: RunTypes.CHAT_GROUP,
+    ExperimentNodeType.COMMAND: RunTypes.COMMAND,
+}
+
+
 class ExperimentStatus(object):
     NOT_STARTED = "NotStarted"
     QUEUING = "Queuing"
@@ -476,6 +463,17 @@ class LineRunFieldName:
     EVALUATIONS = "evaluations"
 
 
+class CreatedByFieldName:
+    OBJECT_ID = "object_id"
+    TENANT_ID = "tenant_id"
+    NAME = "name"
+
+
+class ChatGroupSpeakOrder(str, Enum):
+    SEQUENTIAL = "sequential"
+    LLM = "llm"
+
+
 TRACE_LIST_DEFAULT_LIMIT = 1000
 
 
@@ -486,3 +484,14 @@ class IdentityKeys(str, Enum):
     USER_IDENTITY = "user_identity"
     RESOURCE_ID = "resource_id"
     CLIENT_ID = "client_id"
+
+
+class OSType:
+    WINDOWS = "Windows"
+    LINUX = "Linux"
+
+
+# Note: Keep these for backward compatibility
+CustomStrongTypeConnectionConfigs = CustomStrongTypeConnectionConfigs
+ConnectionType = ConnectionType
+ConnectionAuthMode = ConnectionAuthMode
diff --git a/src/promptflow/promptflow/_sdk/_errors.py b/src/promptflow-devkit/promptflow/_sdk/_errors.py
similarity index 89%
rename from src/promptflow/promptflow/_sdk/_errors.py
rename to src/promptflow-devkit/promptflow/_sdk/_errors.py
index 573f883ede0..35617bad3cf 100644
--- a/src/promptflow/promptflow/_sdk/_errors.py
+++ b/src/promptflow-devkit/promptflow/_sdk/_errors.py
@@ -81,15 +81,14 @@ class ConnectionNotFoundError(SDKError):
     pass
 
 
-class RequiredEnvironmentVariablesNotSetError(SDKError):
-    """Exception raised if connection from_env required env vars not found."""
+class ConnectionNameNotSetError(SDKError):
+    """Exception raised if connection not set when create or update."""
 
-    def __init__(self, env_vars: list, cls_name: str):
-        super().__init__(f"Required environment variables {env_vars} to build {cls_name} not set.")
+    pass
 
 
-class ConnectionNameNotSetError(SDKError):
-    """Exception raised if connection not set when create or update."""
+class ConnectionClassNotFoundError(SDKError):
+    """Exception raised if relative sdk connection class not found."""
 
     pass
 
@@ -216,3 +215,27 @@ class ExperimentCommandRunError(SDKError):
     """Exception raised if experiment validation failed."""
 
     pass
+
+
+class ChatGroupError(SDKError):
+    """Exception raised if chat group operation failed."""
+
+    pass
+
+
+class ChatRoleError(SDKError):
+    """Exception raised if chat agent operation failed."""
+
+    pass
+
+
+class UnexpectedAttributeError(SDKError):
+    """Exception raised if unexpected attribute is found."""
+
+    pass
+
+
+class LineRunNotFoundError(SDKError):
+    """Exception raised if line run cannot be found."""
+
+    pass
diff --git a/src/promptflow/promptflow/_sdk/_load_functions.py b/src/promptflow-devkit/promptflow/_sdk/_load_functions.py
similarity index 86%
rename from src/promptflow/promptflow/_sdk/_load_functions.py
rename to src/promptflow-devkit/promptflow/_sdk/_load_functions.py
index 6df42545ef4..1eedf1fb1d0 100644
--- a/src/promptflow/promptflow/_sdk/_load_functions.py
+++ b/src/promptflow-devkit/promptflow/_sdk/_load_functions.py
@@ -1,17 +1,17 @@
 # ---------------------------------------------------------
 # Copyright (c) Microsoft Corporation. All rights reserved.
 # ---------------------------------------------------------
-import hashlib
 from os import PathLike
 from pathlib import Path
 from typing import IO, AnyStr, Optional, Union
 
 from dotenv import dotenv_values
 
-from .._utils.logger_utils import get_cli_sdk_logger
-from .._utils.yaml_utils import load_yaml
+from promptflow._utils.logger_utils import get_cli_sdk_logger
+from promptflow._utils.yaml_utils import load_yaml
+from promptflow.exceptions import UserErrorException
+
 from ._errors import MultipleExperimentTemplateError, NoExperimentTemplateError
-from ._utils import _sanitize_python_variable_name
 from .entities import Run
 from .entities._connection import CustomConnection, _Connection
 from .entities._experiment import Experiment, ExperimentTemplate
@@ -65,12 +65,11 @@ def load_common(
             **kwargs,
         )
     except Exception as e:
-        raise Exception(f"Load entity error: {e}") from e
+        raise UserErrorException(f"Load entity error: {e}", privacy_info=[str(e)]) from e
 
 
 def load_flow(
     source: Union[str, PathLike, IO[AnyStr]],
-    is_async_call: Optional[bool] = None,
     **kwargs,
 ) -> Flow:
     """Load flow from YAML file.
@@ -79,13 +78,10 @@ def load_flow(
         If the source is a path, it will be open and read.
         An exception is raised if the file does not exist.
     :type source: Union[PathLike, str]
-    :param is_async_call: Optional argument to indicate the return value is an async function.
-        If True, the return value is an async function, otherwise, it is a sync function.
-    :type is_async_call: bool
     :return: A Flow object
-    :rtype: Flow
+    :rtype: ~promptflow._sdk.entities._flow.Flow
     """
-    return Flow.load(source, is_async_call=is_async_call, **kwargs)
+    return Flow.load(source, **kwargs)
 
 
 def load_run(
@@ -135,20 +131,22 @@ def _load_env_to_connection(
     source = Path(source)
     name = next((_dct["name"] for _dct in params_override if "name" in _dct), None)
     if not name:
-        raise Exception("Please specify --name when creating connection from .env.")
+        raise UserErrorException(message_format="Please specify --name when creating connection from .env.")
     if not source.exists():
-        raise FileNotFoundError(f"File {source.absolute().as_posix()!r} not found.")
+        e = FileNotFoundError(f"File {source.absolute().as_posix()!r} not found.")
+        raise UserErrorException(str(e), privacy_info=[source.absolute().as_posix()]) from e
     try:
         data = dict(dotenv_values(source))
         if not data:
             # Handle some special case dotenv returns empty with no exception raised.
-            raise ValueError(
+            e = ValueError(
                 f"Load nothing from dotenv file {source.absolute().as_posix()!r}, "
                 "please make sure the file is not empty and readable."
             )
+            raise UserErrorException(str(e), privacy_info=[source.absolute().as_posix()]) from e
         return CustomConnection(name=name, secrets=data)
     except Exception as e:
-        raise Exception(f"Load entity error: {e}") from e
+        raise UserErrorException(f"Load entity error: {e}", privacy_info=[str(e)]) from e
 
 
 def _load_experiment_template(
@@ -205,8 +203,5 @@ def _load_experiment(
     absolute_path = source.resolve().absolute().as_posix()
     if not source.exists():
         raise NoExperimentTemplateError(f"Experiment file {absolute_path} not found.")
-    anonymous_exp_name = _sanitize_python_variable_name(
-        f"{source.stem}_{hashlib.sha1(absolute_path.encode('utf-8')).hexdigest()}"
-    )
-    experiment = load_common(Experiment, source, params_override=[{"name": anonymous_exp_name}], **kwargs)
+    experiment = load_common(Experiment, source, **kwargs)
     return experiment
diff --git a/src/promptflow/promptflow/_sdk/_mlflow.py b/src/promptflow-devkit/promptflow/_sdk/_mlflow.py
similarity index 69%
rename from src/promptflow/promptflow/_sdk/_mlflow.py
rename to src/promptflow-devkit/promptflow/_sdk/_mlflow.py
index 771d0e699d8..d30ff3afbcd 100644
--- a/src/promptflow/promptflow/_sdk/_mlflow.py
+++ b/src/promptflow-devkit/promptflow/_sdk/_mlflow.py
@@ -3,13 +3,13 @@
 """Put some imports here for mlflow promptflow flavor usage.
 
 DO NOT change the module names in "all" list. If the interface has changed in source code, wrap it here and keep
-original function/module names the same as before, otherwise mldesigner will be broken by this change.
+original function/module names the same as before, otherwise mlflow will be broken by this change.
 """
 from promptflow._sdk._constants import DAG_FILE_NAME
-from promptflow._sdk._serving.flow_invoker import FlowInvoker
-from promptflow._sdk._submitter import remove_additional_includes
+from promptflow._sdk._orchestrator import remove_additional_includes
 from promptflow._sdk._utils import _merge_local_code_and_additional_includes
 from promptflow._sdk.entities._flow import Flow
+from promptflow.core._serving.flow_invoker import FlowInvoker
 
 __all__ = [
     "Flow",
diff --git a/src/promptflow/promptflow/_sdk/_submitter/__init__.py b/src/promptflow-devkit/promptflow/_sdk/_orchestrator/__init__.py
similarity index 100%
rename from src/promptflow/promptflow/_sdk/_submitter/__init__.py
rename to src/promptflow-devkit/promptflow/_sdk/_orchestrator/__init__.py
diff --git a/src/promptflow/promptflow/_sdk/_submitter/experiment_orchestrator.py b/src/promptflow-devkit/promptflow/_sdk/_orchestrator/experiment_orchestrator.py
similarity index 91%
rename from src/promptflow/promptflow/_sdk/_submitter/experiment_orchestrator.py
rename to src/promptflow-devkit/promptflow/_sdk/_orchestrator/experiment_orchestrator.py
index 52d07ac2f10..408c51ddb38 100644
--- a/src/promptflow/promptflow/_sdk/_submitter/experiment_orchestrator.py
+++ b/src/promptflow-devkit/promptflow/_sdk/_orchestrator/experiment_orchestrator.py
@@ -16,19 +16,22 @@
 from dataclasses import is_dataclass
 from datetime import datetime
 from pathlib import Path
-from typing import Union
+from typing import Any, Dict, Union
 
 import psutil
 
 from promptflow._sdk._constants import (
+    CHAT_GROUP_REFERENCE_NAME,
+    CONVERSATION_HISTORY,
+    EXP_NODE_TYPE_2_RUN_TYPE,
     PF_TRACE_CONTEXT,
+    PF_TRACE_CONTEXT_ATTR,
     PROMPT_FLOW_DIR_NAME,
     ContextAttributeKey,
     ExperimentNodeRunStatus,
     ExperimentNodeType,
     ExperimentStatus,
     FlowRunProperties,
-    RunTypes,
 )
 from promptflow._sdk._errors import (
     ExperimentCommandRunError,
@@ -37,12 +40,8 @@
     ExperimentNotFoundError,
     ExperimentValueError,
 )
-from promptflow._sdk._orm.experiment import Experiment as ORMExperiment
-from promptflow._sdk._orm.experiment_node_run import ExperimentNodeRun as ORMExperimentNodeRun
-from promptflow._sdk._orm.orchestrator import Orchestrator as ORMOrchestrator
-from promptflow._sdk._orm.run_info import RunInfo as ORMRunInfo
-from promptflow._sdk._submitter import RunSubmitter
-from promptflow._sdk._submitter.utils import (
+from promptflow._sdk._orchestrator import RunSubmitter
+from promptflow._sdk._orchestrator.utils import (
     SubmitterHelper,
     _calculate_snapshot,
     _set_up_experiment_log_handler,
@@ -50,12 +49,16 @@
     _stop_orchestrator_process,
     _windows_stop_handler,
 )
+from promptflow._sdk._orm.experiment import Experiment as ORMExperiment
+from promptflow._sdk._orm.experiment_node_run import ExperimentNodeRun as ORMExperimentNodeRun
+from promptflow._sdk._orm.orchestrator import Orchestrator as ORMOrchestrator
+from promptflow._sdk._orm.run_info import RunInfo as ORMRunInfo
 from promptflow._sdk._utils import overwrite_null_std_logger
 from promptflow._sdk.entities import Run
 from promptflow._sdk.entities._experiment import Experiment, ExperimentTemplate
-from promptflow._sdk.entities._flow import ProtectedFlow
 from promptflow._sdk.operations import RunOperations
 from promptflow._sdk.operations._local_storage_operations import LocalStorageOperations
+from promptflow._utils.flow_utils import resolve_flow_path
 from promptflow._utils.inputs_mapping_utils import apply_inputs_mapping
 from promptflow._utils.load_data import load_data
 from promptflow._utils.logger_utils import get_cli_sdk_logger
@@ -100,8 +103,7 @@ def test(
         start_nodes = [
             node
             for node in template.nodes
-            if node.type == ExperimentNodeType.FLOW
-            and ProtectedFlow._get_flow_definition(node.path) == ProtectedFlow._get_flow_definition(flow_path)
+            if node.type == ExperimentNodeType.FLOW and resolve_flow_path(node.path) == resolve_flow_path(flow_path)
         ]
         if not start_nodes:
             raise ExperimentValueError(f"Flow {flow_path.as_posix()} not found in experiment {template.dir_name!r}.")
@@ -128,18 +130,20 @@ def test(
         logger.info("Testing completed. See full logs at %s.", test_context.output_path.as_posix())
         return test_context.node_results
 
-    def _test_node(self, node, test_context) -> Run:
+    def _test_node(self, node, test_context):
         if node.type == ExperimentNodeType.FLOW:
             return self._test_flow_node(node, test_context)
         elif node.type == ExperimentNodeType.COMMAND:
             return self._test_command_node(node, test_context)
+        elif node.type == ExperimentNodeType.CHAT_GROUP:
+            return self._test_chat_group_node(node, test_context)
         raise ExperimentValueError(f"Unknown experiment node {node.name!r} type {node.type!r}")
 
     def _test_flow_node(self, node, test_context):
         # Resolve experiment related inputs
         inputs_mapping = ExperimentHelper.resolve_column_mapping(node.name, node.inputs, test_context.test_inputs)
         data, runs = ExperimentHelper.get_referenced_data_and_run(
-            node.name, node.inputs, test_context.test_data, test_context.node_results
+            node.name, node.type, node.inputs, test_context.test_data, test_context.node_results
         )
         # Add data, run inputs/outputs to binding context for inputs mapping resolve.
         binding_context = {**{f"data.{k}": v for k, v in data.items()}, **{f"{k}.outputs": v for k, v in runs.items()}}
@@ -164,6 +168,14 @@ def _test_flow_node(self, node, test_context):
     def _test_command_node(self, *args, **kwargs):
         raise NotImplementedError
 
+    def _test_chat_group_node(self, node, test_context):
+        from promptflow._sdk.entities._chat_group._chat_group import ChatGroup
+
+        chat_group = ChatGroup._from_node(node, test_context)
+        logger.debug(f"Invoking chat group node {node.name!r}.")
+        chat_group.invoke()
+        return chat_group.conversation_history
+
     def start(self, nodes=None, from_nodes=None, attempt=None, **kwargs):
         """Start an execution of nodes.
 
@@ -258,24 +270,17 @@ def _start_orchestrator(self, context, nodes=None, from_nodes=None):
         Determine node execution order through topological sorting.
 
         :param context: Experiment context.
-        :type context: ~promptflow._sdk._submitter.ExperimentTemplateContext
+        :type context: ~promptflow._sdk._orchestrator.ExperimentTemplateContext
         :param nodes: Nodes to be executed.
         :type nodes: list
         :param from_nodes: The branches in experiment to be executed.
         :type from_nodes: list
         """
 
-        def prepare_edges(node):
-            """Get all in-degree nodes of this node."""
-            node_names = set()
-            for input_value in node.inputs.values():
-                if ExperimentHelper._is_node_reference(input_value):
-                    referenced_node_name = input_value.split(".")[0].replace("${", "")
-                    node_names.add(referenced_node_name)
-            return node_names
-
         def generate_node_mapping_by_nodes(from_nodes):
-            all_node_edges_mapping = {node.name: prepare_edges(node) for node in self.experiment.nodes}
+            all_node_edges_mapping = {
+                node.name: ExperimentHelper._prepare_single_node_edges(node) for node in self.experiment.nodes
+            }
             node_edges_mapping, next_nodes = {node: all_node_edges_mapping[node] for node in from_nodes}, from_nodes
             while next_nodes:
                 linked_nodes = set()
@@ -389,14 +394,16 @@ def stop_handler(signum, frame):
             pre_nodes = set()
             node_mapping = {node.name: node for node in self.experiment.nodes}
             for node_name in nodes:
-                pre_nodes.update(prepare_edges(node_mapping[node_name]))
+                pre_nodes.update(ExperimentHelper._prepare_single_node_edges(node_mapping[node_name]))
             if not check_in_degree_node_outputs(pre_nodes):
                 raise UserErrorException(f"The output(s) of in-degree of nodes {nodes} do not exist.")
             node_edges_mapping = {}
             next_execute_nodes = [self._nodes[name] for name in nodes]
         else:
             # Execute all nodes in experiment.
-            node_edges_mapping = {node.name: prepare_edges(node) for node in self.experiment.nodes}
+            node_edges_mapping = {
+                node.name: ExperimentHelper._prepare_single_node_edges(node) for node in self.experiment.nodes
+            }
             logger.debug(f"Experiment nodes edges: {node_edges_mapping!r}")
             next_execute_nodes = get_next_executable_nodes()
 
@@ -516,16 +523,16 @@ def __init__(self, node, experiment, context, node_runs, client, **kwargs):
         run_output_path = (Path(experiment._output_dir) / "runs" / node.name).resolve().absolute().as_posix()
         super().__init__(
             # Use node name as prefix for run name?
-            type=RunTypes.COMMAND if node.type == ExperimentNodeType.COMMAND else RunTypes.BATCH,
+            type=EXP_NODE_TYPE_2_RUN_TYPE[node.type],
             name=self.context.node_name_to_id[node.name],
-            display_name=node.display_name or node.name,
-            column_mapping=node.inputs,
+            display_name=getattr(node, "display_name", None) or node.name,
+            column_mapping=getattr(node, "inputs", None),
             variant=getattr(node, "variant", None),
             flow=self._get_node_path(),
             outputs=getattr(node, "outputs", None),
             connections=getattr(node, "connections", None),
             command=getattr(node, "command", None),
-            environment_variables=node.environment_variables,
+            environment_variables=getattr(node, "environment_variables", None),
             config=Configuration(overrides={Configuration.RUN_OUTPUT_PATH: run_output_path}),
             **kwargs,
         )
@@ -537,24 +544,41 @@ def _resolve_column_mapping(self):
         """Resolve column mapping with experiment inputs to constant values."""
         logger.info(f"Start resolve node {self.node.name!r} column mapping.")
         resolved_mapping = {}
-        for name, value in self.column_mapping.items():
+        if self.node.type in [ExperimentNodeType.FLOW, ExperimentNodeType.COMMAND]:
+            resolved_mapping = self._resolve_single_column_mapping(self.column_mapping)
+        elif self.node.type == ExperimentNodeType.CHAT_GROUP:
+            # for chat group node, resolve column mapping for each role
+            for role in self.node.roles:
+                if "inputs" in role:
+                    resolved_mapping[role["role"]] = self._resolve_single_column_mapping(role["inputs"])
+        logger.debug(f"Resolved node {self.node.name!r} column mapping {resolved_mapping}.")
+        self.column_mapping = resolved_mapping
+
+    def _resolve_single_column_mapping(self, column_mapping: Dict[str, Any]):
+        """Resolve single column mapping with given column mapping dict"""
+        if column_mapping is None:
+            return None
+
+        resolved_mapping = {}
+        for name, value in column_mapping.items():
             if not isinstance(value, str) or not value.startswith("${inputs."):
                 resolved_mapping[name] = value
                 continue
             input_name = value.split(".")[1].replace("}", "")
             if input_name not in self.experiment_inputs:
                 raise ExperimentValueError(
-                    f"Node {self.node.name!r} inputs {value!r} related experiment input {input_name!r} not found."
+                    f"Input value {value!r} is specified in node {self.node.name!r}, but the related experiment input "
+                    f"{input_name!r} is not found. Allowed inputs are {list(self.experiment_inputs.keys())}."
                 )
             resolved_mapping[name] = self.experiment_inputs[input_name].default
-        logger.debug(f"Resolved node {self.node.name!r} column mapping {resolved_mapping}.")
-        self.column_mapping = resolved_mapping
+        return resolved_mapping
 
     def _resolve_input_dirs(self):
         logger.info("Start resolve node %s input dirs.", self.node.name)
         # Get the node referenced data and run
         referenced_data, referenced_run = ExperimentHelper.get_referenced_data_and_run(
             node_name=self.node.name,
+            node_type=self.node.type,
             column_mapping=self.column_mapping,
             experiment_data=self.experiment_data,
             experiment_runs=self.node_runs,
@@ -588,7 +612,7 @@ def _get_node_path(self):
         elif self.node.type == ExperimentNodeType.COMMAND:
             return self.node.code
         elif self.node.type == ExperimentNodeType.CHAT_GROUP:
-            raise NotImplementedError("Chat group node in experiment is not supported yet.")
+            return self.node.code
         raise ExperimentValueError(f"Unknown experiment node {self.node.name!r} type {self.node.type!r}")
 
     def _run_node(self) -> Run:
@@ -714,9 +738,9 @@ def get_node_context(self, node_name, is_flow, test=False):
             return node_context
         # Return the full json context for test
         global_context = os.environ.get(PF_TRACE_CONTEXT)
-        # Expected global context: {"endpoint": "..", "attributes": {..}}
-        global_context = json.loads(global_context) if global_context else {"endpoint": "", "attributes": {}}
-        global_context["attributes"].update(node_context)
+        # Expected global context: {"endpoint": "..", PF_TRACE_CONTEXT_ATTR: {..}}
+        global_context = json.loads(global_context) if global_context else {"endpoint": "", PF_TRACE_CONTEXT_ATTR: {}}
+        global_context[PF_TRACE_CONTEXT_ATTR].update(node_context)
         return {PF_TRACE_CONTEXT: json.dumps(global_context)}
 
 
@@ -780,14 +804,38 @@ def prepare_test_data(inputs, template: ExperimentTemplate) -> dict:
 
     @staticmethod
     def get_referenced_data_and_run(
-        node_name: str, column_mapping: dict, experiment_data: dict, experiment_runs: dict
+        node_name: str, node_type: str, column_mapping: dict, experiment_data: dict, experiment_runs: dict
     ) -> tuple:
+        """Get the node referenced data and runs from dict."""
+        if node_type in [ExperimentNodeType.FLOW, ExperimentNodeType.COMMAND]:
+            return ExperimentHelper.get_data_and_run_from_single_column_mapping(
+                node_name, column_mapping, experiment_data, experiment_runs
+            )
+        # for chat group node, get data and run from all roles column mapping
+        elif node_type == ExperimentNodeType.CHAT_GROUP:
+            data, run = {}, {}
+            for role, role_column_mapping in column_mapping.items():
+                role_data, role_run = ExperimentHelper.get_data_and_run_from_single_column_mapping(
+                    node_name, role_column_mapping, experiment_data, experiment_runs
+                )
+                data.update(role_data)
+                run.update(role_run)
+            return data, run
+        raise ExperimentValueError(f"Unknown experiment node type {node_type!r} from node {node_name!r}.")
+
+    @staticmethod
+    def get_data_and_run_from_single_column_mapping(
+        node_name: str, column_mapping: dict, experiment_data: dict, experiment_runs: dict
+    ):
         """Get the node referenced data and runs from dict."""
         data, run = {}, {}
         for value in column_mapping.values():
             if not isinstance(value, str):
                 continue
-            if value.startswith("${data."):
+            # ${parent.conversation_history} is a special binding for chat group node
+            if value == f"${{{CHAT_GROUP_REFERENCE_NAME}.{CONVERSATION_HISTORY}}}":
+                continue
+            elif value.startswith("${data."):
                 name = value.split(".")[1].replace("}", "")
                 if name not in experiment_data:
                     raise ExperimentValueError(
@@ -837,7 +885,18 @@ def _is_node_reference(value):
     def _prepare_single_node_edges(node):
         """Prepare single node name to referenced node name edges mapping."""
         node_names = set()
-        for input_value in node.inputs.values():
+
+        # if node is chat group, then get all inputs from roles
+        node_input_values = []
+        if node.type == ExperimentNodeType.CHAT_GROUP:
+            for role in node.roles:
+                role_inputs = role.get("inputs", {}).values()
+                node_input_values.append(list(role_inputs))
+        else:
+            node_input_values = list(node.inputs.values())
+
+        # Get all in-degree nodes of this node
+        for input_value in node_input_values:
             if not isinstance(input_value, str):
                 continue
             if ExperimentHelper._is_node_reference(input_value):
diff --git a/src/promptflow/promptflow/_sdk/_submitter/run_submitter.py b/src/promptflow-devkit/promptflow/_sdk/_orchestrator/run_submitter.py
similarity index 87%
rename from src/promptflow/promptflow/_sdk/_submitter/run_submitter.py
rename to src/promptflow-devkit/promptflow/_sdk/_orchestrator/run_submitter.py
index 6be4a5c85a0..7e2f76e828c 100644
--- a/src/promptflow/promptflow/_sdk/_submitter/run_submitter.py
+++ b/src/promptflow-devkit/promptflow/_sdk/_orchestrator/run_submitter.py
@@ -8,22 +8,22 @@
 from typing import Union
 
 from promptflow._constants import FlowLanguage
-from promptflow._core.operation_context import OperationContext
 from promptflow._sdk._constants import ContextAttributeKey, FlowRunProperties
-from promptflow._sdk._utils import parse_variant
-from promptflow._sdk.entities._flow import ProtectedFlow
+from promptflow._sdk.entities._flow import Flow
 from promptflow._sdk.entities._run import Run
 from promptflow._sdk.operations._local_storage_operations import LocalStorageOperations
 from promptflow._utils.context_utils import _change_working_dir
+from promptflow._utils.flow_utils import parse_variant
+from promptflow._utils.logger_utils import LoggerFactory
 from promptflow.batch import BatchEngine
 from promptflow.contracts.run_info import Status
 from promptflow.contracts.run_mode import RunMode
 from promptflow.exceptions import UserErrorException, ValidationException
+from promptflow.tracing._operation_context import OperationContext
 
-from ..._utils.logger_utils import LoggerFactory
 from .._configuration import Configuration
 from .._load_functions import load_flow
-from ..entities._eager_flow import EagerFlow
+from ..entities._flow import FlexFlow
 from .utils import SubmitterHelper, variant_overwrite_context
 
 logger = LoggerFactory.get_logger(name=__name__)
@@ -102,21 +102,26 @@ def _validate_inputs(cls, run: Run):
             error = ValidationException("Either run or data or resume from run must be specified for flow run.")
             raise UserErrorException(message=str(error), error=error)
 
-    def _submit_bulk_run(
-        self, flow: Union[ProtectedFlow, EagerFlow], run: Run, local_storage: LocalStorageOperations
-    ) -> dict:
+    def _submit_bulk_run(self, flow: Union[Flow, FlexFlow], run: Run, local_storage: LocalStorageOperations) -> dict:
         logger.info(f"Submitting run {run.name}, log path: {local_storage.logger.file_path}")
         run_id = run.name
-        if flow.language == FlowLanguage.CSharp:
-            # TODO: consider moving this to Operations
-            from promptflow.batch import CSharpExecutorProxy
+        # for python, we can get metadata in-memory, so no need to dump them first
+        if flow.language != FlowLanguage.Python:
+            from promptflow._proxy import ProxyFactory
 
-            CSharpExecutorProxy.generate_metadata(flow_file=Path(flow.path), assembly_folder=Path(flow.code))
-            # TODO: shall we resolve connections here?
-            connections = []
-        else:
-            with _change_working_dir(flow.code):
-                connections = SubmitterHelper.resolve_connections(flow=flow)
+            # variants are resolved in the context, so we can't move this logic to Operations for now
+            ProxyFactory().get_executor_proxy_cls(flow.language).dump_metadata(
+                flow_file=Path(flow.path), working_dir=Path(flow.code)
+            )
+
+        with _change_working_dir(flow.code):
+            # resolve connections with environment variables overrides to avoid getting unused connections
+            logger.debug(
+                f"Resolving connections for flow {flow.path} with environment variables {run.environment_variables}."
+            )
+            connections = SubmitterHelper.resolve_connections(
+                flow=flow, environment_variables_overrides=run.environment_variables
+            )
         column_mapping = run.column_mapping
         # resolve environment variables
         run.environment_variables = SubmitterHelper.load_and_resolve_environment_variables(
@@ -141,17 +146,18 @@ def _submit_bulk_run(
                 flow.path,
                 flow.code,
                 connections=connections,
-                entry=flow.entry if isinstance(flow, EagerFlow) else None,
+                entry=flow.entry if isinstance(flow, FlexFlow) else None,
                 storage=local_storage,
                 log_path=local_storage.logger.file_path,
-                resume_from_run_storage=resume_from_run_storage,
-                resume_from_run_output_dir=resume_from_run_storage.outputs_folder if resume_from_run_storage else None,
+                init_kwargs=run.init,
             )
             batch_result = batch_engine.run(
                 input_dirs=input_dirs,
                 inputs_mapping=column_mapping,
                 output_dir=local_storage.outputs_folder,
                 run_id=run_id,
+                resume_from_run_storage=resume_from_run_storage,
+                resume_from_run_output_dir=resume_from_run_storage.outputs_folder if resume_from_run_storage else None,
             )
             error_logs = []
             if batch_result.failed_lines > 0:
diff --git a/src/promptflow/promptflow/_sdk/_submitter/test_submitter.py b/src/promptflow-devkit/promptflow/_sdk/_orchestrator/test_submitter.py
similarity index 87%
rename from src/promptflow/promptflow/_sdk/_submitter/test_submitter.py
rename to src/promptflow-devkit/promptflow/_sdk/_orchestrator/test_submitter.py
index 375b0787eeb..5eb589bf175 100644
--- a/src/promptflow/promptflow/_sdk/_submitter/test_submitter.py
+++ b/src/promptflow-devkit/promptflow/_sdk/_orchestrator/test_submitter.py
@@ -10,26 +10,27 @@
 
 from colorama import Fore, init
 
+from promptflow._constants import LINE_NUMBER_KEY, FlowLanguage
+from promptflow._core._errors import NotSupported
 from promptflow._internal import ConnectionManager
+from promptflow._proxy import ProxyFactory
 from promptflow._sdk._constants import PROMPT_FLOW_DIR_NAME
-from promptflow._sdk._utils import dump_flow_result, parse_variant
-from promptflow._sdk.entities._flow import FlowBase, FlowContext, ProtectedFlow
+from promptflow._sdk.entities._flow import Flow, FlowContext
 from promptflow._sdk.operations._local_storage_operations import LoggerOperations
+from promptflow._utils.async_utils import async_run_allowing_running_loop
 from promptflow._utils.context_utils import _change_working_dir
+from promptflow._utils.dataclass_serializer import convert_eager_flow_output_to_dict
 from promptflow._utils.exception_utils import ErrorResponse
+from promptflow._utils.flow_utils import dump_flow_result, parse_variant
+from promptflow._utils.logger_utils import get_cli_sdk_logger
 from promptflow.contracts.flow import Flow as ExecutableFlow
 from promptflow.contracts.run_info import RunInfo, Status
 from promptflow.exceptions import UserErrorException
 from promptflow.executor._result import LineResult
 from promptflow.storage._run_storage import DefaultRunStorage
 
-from ..._constants import LINE_NUMBER_KEY, FlowLanguage
-from ..._core._errors import NotSupported
-from ..._utils.async_utils import async_run_allowing_running_loop
-from ..._utils.logger_utils import get_cli_sdk_logger
-from ...batch import APIBasedExecutorProxy, CSharpExecutorProxy
 from .._configuration import Configuration
-from ..entities._eager_flow import EagerFlow
+from ..entities._flow import FlexFlow
 from .utils import (
     SubmitterHelper,
     print_chat_output,
@@ -61,12 +62,12 @@ class TestSubmitter:
 
     def __init__(
         self,
-        flow: Union[ProtectedFlow, EagerFlow],
+        flow: Union[Flow, FlexFlow],
         flow_context: FlowContext,
         client=None,
     ):
         self._flow = flow
-        self.entry = flow.entry if isinstance(flow, EagerFlow) else None
+        self.entry = flow.entry if isinstance(flow, FlexFlow) else None
         self._origin_flow = flow
         self._dataplane_flow = None
         self.flow_context = flow_context
@@ -84,11 +85,11 @@ def __init__(
         self._target_node = None
         self._storage = None
         self._enable_stream_output = None
-        self._executor_proxy: Optional[APIBasedExecutorProxy] = None
+        self._executor_proxy = None
         self._within_init_context = False
 
     @property
-    def executor_proxy(self) -> APIBasedExecutorProxy:
+    def executor_proxy(self):
         self._raise_if_not_within_init_context()
         return self._executor_proxy
 
@@ -158,31 +159,7 @@ def _resolve_variant(self):
                 self._node_variant = None
 
     @classmethod
-    def _resolve_connections(cls, flow: FlowBase, client):
-        if flow.language == FlowLanguage.CSharp:
-            # TODO: check if this is a shared logic
-            if isinstance(flow, EagerFlow):
-                # connection overrides are not supported for eager flow for now
-                return {}
-
-            # TODO: is it possible that we resolve connections after executor proxy is created?
-            from promptflow.batch import CSharpExecutorProxy
-
-            return SubmitterHelper.resolve_used_connections(
-                flow=flow,
-                tools_meta=CSharpExecutorProxy.get_tool_metadata(
-                    flow_file=flow.flow_dag_path,
-                    working_dir=flow.code,
-                ),
-                client=client,
-            )
-        if flow.language == FlowLanguage.Python:
-            # TODO: test submitter should not interact with dataplane flow directly
-            return SubmitterHelper.resolve_connections(flow=flow, client=client)
-        raise UserErrorException(f"Unsupported flow language {flow.language}")
-
-    @classmethod
-    def _resolve_environment_variables(cls, environment_variable_overrides, flow: ProtectedFlow, client):
+    def _resolve_environment_variables(cls, environment_variable_overrides, flow: Flow, client):
         return SubmitterHelper.load_and_resolve_environment_variables(
             flow=flow, environment_variable_overrides=environment_variable_overrides, client=client
         )
@@ -240,9 +217,13 @@ def init(
             # temp flow is generated, will use self.flow instead of self._origin_flow in the following context
             self._within_init_context = True
 
-            if self.flow.language == FlowLanguage.CSharp:
-                # TODO: consider move this to Operations
-                CSharpExecutorProxy.generate_metadata(self.flow.path, self.flow.code)
+            # Python flow may get metadata in-memory, so no need to dump them first
+            if self.flow.language != FlowLanguage.Python:
+                # variant is resolve in the context, so we can't move this to Operations for now
+                ProxyFactory().get_executor_proxy_cls(self.flow.language).dump_metadata(
+                    flow_file=self.flow.path,
+                    working_dir=self.flow.code,
+                )
 
             self._target_node = target_node
             self._enable_stream_output = stream_output
@@ -256,7 +237,8 @@ def init(
                 or {},
             )
 
-            if Configuration(overrides=self._client._config).is_internal_features_enabled():
+            # do not enable trace when test single node, as we have not determined this behavior
+            if target_node is None and Configuration(overrides=self._client._config).is_internal_features_enabled():
                 logger.debug("Starting trace for flow test...")
                 start_trace(session=session)
 
@@ -268,7 +250,7 @@ def init(
             self._relative_flow_output_path = output_sub / "output"
 
             # use flow instead of origin_flow here, as flow can be incomplete before resolving additional includes
-            self._connections = connections or self._resolve_connections(
+            self._connections = connections or SubmitterHelper.resolve_connections(
                 self.flow,
                 self._client,
             )
@@ -285,23 +267,21 @@ def init(
                     sub_dir=output_sub / "intermediate",
                 )
 
-                # TODO: set up executor proxy for all languages
-                if self.flow.language == FlowLanguage.CSharp:
-                    self._executor_proxy = async_run_allowing_running_loop(
-                        CSharpExecutorProxy.create,
-                        self.flow.path,
-                        self.flow.code,
-                        connections=self._connections,
-                        storage=self._storage,
-                        log_path=log_path,
-                        enable_stream_output=stream_output,
-                    )
+                self._executor_proxy = ProxyFactory().create_executor_proxy(
+                    self.flow.path,
+                    self.flow.code,
+                    connections=self._connections,
+                    storage=self._storage,
+                    log_path=log_path,
+                    enable_stream_output=stream_output,
+                    language=self.flow.language,
+                )
 
                 try:
                     yield self
                 finally:
                     if self.executor_proxy:
-                        async_run_allowing_running_loop(self.executor_proxy.destroy_if_all_generators_exhausted)
+                        async_run_allowing_running_loop(self.executor_proxy.destroy)
 
             self._within_init_context = False
 
@@ -448,12 +428,13 @@ def flow_test(
                 run_id=run_id,
             )
         else:
-            from promptflow._utils.multimedia_utils import persist_multimedia_data
+            from promptflow._utils.multimedia_utils import BasicMultimediaProcessor
 
             # TODO: support run_id for non-python
             # TODO: most of below code is duplicate to flow_executor.execute_flow
             line_result: LineResult = self.executor_proxy.exec_line(inputs, index=0)
-            line_result.output = persist_multimedia_data(
+            # csharp flow does not support multimedia contract currently, just use the default multimedia processor
+            line_result.output = BasicMultimediaProcessor().persist_multimedia_data(
                 line_result.output, base_dir=self.output_base, sub_dir=self.relative_flow_output_path
             )
             if line_result.aggregation_inputs:
@@ -471,10 +452,7 @@ def flow_test(
                 # remove line_number from output
                 line_result.output.pop(LINE_NUMBER_KEY, None)
 
-        if isinstance(line_result.output, dict):
-            generator_outputs = self._get_generator_outputs(line_result.output)
-            if generator_outputs:
-                logger.info(f"Some streaming outputs in the result, {generator_outputs.keys()}")
+        self._get_generator_outputs(line_result.output)
         return line_result
 
     def node_test(
@@ -584,5 +562,9 @@ def _raise_error_when_test_failed(test_result, show_trace=False):
 
     @staticmethod
     def _get_generator_outputs(outputs):
-        outputs = outputs or {}
-        return {key: outputs for key, output in outputs.items() if isinstance(output, GeneratorType)}
+        # covert output to dict to unify the log
+        outputs = convert_eager_flow_output_to_dict(outputs)
+        if isinstance(outputs, dict):
+            generator_outputs = {key: output for key, output in outputs.items() if isinstance(output, GeneratorType)}
+            if generator_outputs:
+                logger.info(f"Some streaming outputs in the result, {generator_outputs.keys()}")
diff --git a/src/promptflow/promptflow/_sdk/_submitter/utils.py b/src/promptflow-devkit/promptflow/_sdk/_orchestrator/utils.py
similarity index 76%
rename from src/promptflow/promptflow/_sdk/_submitter/utils.py
rename to src/promptflow-devkit/promptflow/_sdk/_orchestrator/utils.py
index 4aa84604e16..0b4ff379fed 100644
--- a/src/promptflow/promptflow/_sdk/_submitter/utils.py
+++ b/src/promptflow-devkit/promptflow/_sdk/_orchestrator/utils.py
@@ -25,6 +25,7 @@
 from pydash import objects
 
 from promptflow._constants import STREAMING_ANIMATION_TIME
+from promptflow._proxy import ProxyFactory
 from promptflow._sdk._constants import (
     ALL_CONNECTION_TYPES,
     DEFAULT_VAR_ID,
@@ -39,18 +40,13 @@
 )
 from promptflow._sdk._errors import InvalidFlowError, RunOperationError
 from promptflow._sdk._load_functions import load_flow
-from promptflow._sdk._utils import (
-    _merge_local_code_and_additional_includes,
-    get_local_connections_from_executable,
-    get_used_connection_names_from_dict,
-    update_dict_value_with_connections,
-)
-from promptflow._sdk.entities._eager_flow import EagerFlow
-from promptflow._sdk.entities._flow import Flow, ProtectedFlow
-from promptflow._utils.context_utils import _change_working_dir
+from promptflow._sdk._utils import _merge_local_code_and_additional_includes
+from promptflow._sdk.entities._flow import FlexFlow, Flow
 from promptflow._utils.flow_utils import dump_flow_dag, load_flow_dag
 from promptflow._utils.logger_utils import FileHandler, get_cli_sdk_logger
 from promptflow.contracts.flow import Flow as ExecutableFlow
+from promptflow.core._utils import get_used_connection_names_from_dict, update_dict_value_with_connections
+from promptflow.exceptions import UserErrorException
 
 logger = get_cli_sdk_logger()
 
@@ -102,6 +98,9 @@ def overwrite_connections(flow_dag: dict, connections: dict, working_dir: PathLi
     # Load executable flow to check if connection is LLM connection
     executable_flow = ExecutableFlow._from_dict(flow_dag=flow_dag, working_dir=Path(working_dir))
 
+    # generate tool meta for deployment name, model override
+    # tools_meta = generate_flow_tools_json(flow_directory=working_dir, dump=False, used_packages_only=True)
+
     node_name_2_node = {node["name"]: node for node in flow_dag[NODES]}
 
     for node_name, connection_dict in connections.items():
@@ -111,30 +110,73 @@ def overwrite_connections(flow_dag: dict, connections: dict, working_dir: PathLi
             raise InvalidFlowError(f"Invalid connection overwrite format: {connection_dict}, only dict is supported.")
         node = node_name_2_node[node_name]
         executable_node = executable_flow.get_node(node_name=node_name)
+
+        # override connections
         if executable_flow.is_llm_node(executable_node):
-            unsupported_keys = connection_dict.keys() - SUPPORTED_CONNECTION_FIELDS
-            if unsupported_keys:
-                raise InvalidFlowError(
-                    f"Unsupported llm connection overwrite keys: {unsupported_keys},"
-                    f" only {SUPPORTED_CONNECTION_FIELDS} are supported."
-                )
-            try:
-                connection = connection_dict.get(ConnectionFields.CONNECTION)
-                if connection:
-                    node[ConnectionFields.CONNECTION] = connection
-                deploy_name = connection_dict.get(ConnectionFields.DEPLOYMENT_NAME)
-                if deploy_name:
-                    node[INPUTS][ConnectionFields.DEPLOYMENT_NAME] = deploy_name
-            except KeyError as e:
-                raise InvalidFlowError(
-                    f"Failed to overwrite llm node {node_name} with connections {connections}"
-                ) from e
+            override_llm_connections(
+                node=node,
+                connection_dict=connection_dict,
+                node_name=node_name,
+            )
         else:
-            connection_inputs = executable_flow.get_connection_input_names_for_node(node_name=node_name)
-            for c, v in connection_dict.items():
-                if c not in connection_inputs:
-                    raise InvalidFlowError(f"Connection with name {c} not found in node {node_name}'s inputs")
-                node[INPUTS][c] = v
+            override_python_connections(
+                node=node,
+                connection_dict=connection_dict,
+                tools_meta={},
+                executable_flow=executable_flow,
+                node_name=node_name,
+            )
+
+
+def override_llm_connections(node: dict, connection_dict: dict, node_name: str):
+    """apply connection override on llm node."""
+    try:
+        # override connection
+        connection = connection_dict.get(ConnectionFields.CONNECTION.value)
+        if connection:
+            logger.debug(f"Overwriting connection for node {node_name} with {connection}")
+            node[ConnectionFields.CONNECTION] = connection
+            connection_dict.pop(ConnectionFields.CONNECTION.value)
+        # override deployment_name and model
+        for field in [ConnectionFields.DEPLOYMENT_NAME.value, ConnectionFields.MODEL.value]:
+            if field in connection_dict:
+                logger.debug(f"Overwriting {field} for node {node_name} with {connection_dict[field]}")
+                node[INPUTS][field] = connection_dict[field]
+                connection_dict.pop(field)
+    except KeyError as e:
+        raise InvalidFlowError(f"Failed to overwrite llm node {node_name} with connections {connection_dict}") from e
+    if connection_dict:
+        raise InvalidFlowError(
+            f"Unsupported llm connection overwrite keys: {connection_dict.keys()},"
+            f" only {SUPPORTED_CONNECTION_FIELDS} are supported."
+        )
+
+
+def override_python_connections(
+    node: dict, connection_dict: dict, tools_meta: dict, executable_flow: ExecutableFlow, node_name: str
+):
+    """apply connection override on python node."""
+    connection_inputs = executable_flow.get_connection_input_names_for_node(node_name=node_name)
+    consumed_connections = set()
+    for c, v in connection_dict.items():
+        if c in connection_inputs:
+            logger.debug(f"Overwriting connection for node {node_name} with {c}:{v}")
+            node[INPUTS][c] = v
+            consumed_connections.add(c)
+        else:
+            # TODO(3021931): check if input c is enabled by connection instead of hard code
+            logger.debug(f"Overwriting enabled by connection input for node {node_name} with {c}:{v}")
+            for field in [ConnectionFields.DEPLOYMENT_NAME.value, ConnectionFields.MODEL.value]:
+                if field in connection_dict:
+                    logger.debug(f"Overwriting {field} for node {node_name} with {connection_dict[field]}")
+                    node[INPUTS][field] = connection_dict[field]
+                    consumed_connections.add(field)
+    unused_connections = connection_dict.keys() - consumed_connections
+    if unused_connections:
+        raise InvalidFlowError(
+            f"Unsupported llm connection overwrite keys: {unused_connections},"
+            f" only {SUPPORTED_CONNECTION_FIELDS} are supported."
+        )
 
 
 def overwrite_flow(flow_dag: dict, params_overrides: dict):
@@ -172,7 +214,7 @@ def variant_overwrite_context(
     if flow.additional_includes:
         # Merge the flow folder and additional includes to temp folder for both eager flow & dag flow.
         with _merge_local_code_and_additional_includes(code_path=flow_dir_path) as temp_dir:
-            if not isinstance(flow, EagerFlow):
+            if not isinstance(flow, FlexFlow):
                 # always overwrite variant since we need to overwrite default variant if not specified.
                 overwrite_variant(flow_dag, tuning_node, variant, drop_node_variants=drop_node_variants)
                 overwrite_connections(flow_dag, connections, working_dir=flow_dir_path)
@@ -181,7 +223,7 @@ def variant_overwrite_context(
             dump_flow_dag(flow_dag, Path(temp_dir))
             flow = load_flow(temp_dir)
             yield flow
-    elif isinstance(flow, EagerFlow):
+    elif isinstance(flow, FlexFlow):
         # eager flow don't support overwrite variant
         yield flow
     else:
@@ -192,7 +234,7 @@ def variant_overwrite_context(
             overwrite_connections(flow_dag, connections, working_dir=flow_dir_path)
             overwrite_flow(flow_dag, overrides)
             flow_path = dump_flow_dag(flow_dag, Path(temp_dir))
-            flow = ProtectedFlow(code=flow_dir_path, path=flow_path, dag=flow_dag)
+            flow = Flow(code=flow_dir_path, path=flow_path, dag=flow_dag)
             yield flow
 
 
@@ -206,38 +248,35 @@ def init_env(cls, environment_variables):
             load_dotenv(environment_variables)
 
     @staticmethod
-    def resolve_connections(flow: Flow, client=None, connections_to_ignore=None) -> dict:
-        # TODO 2856400: use resolve_used_connections instead of this function to avoid using executable in control-plane
-        from promptflow._sdk.entities._eager_flow import EagerFlow
-
+    def resolve_connections(
+        flow: Flow,
+        client=None,
+        *,
+        connections_to_ignore=None,
+        connections_to_add: List[str] = None,
+        environment_variables_overrides: Dict[str, str] = None,
+    ) -> dict:
         from .._pf_client import PFClient
 
-        if isinstance(flow, EagerFlow):
-            # TODO(2898247): support prompt flow management connection for eager flow
-            return {}
-
         client = client or PFClient()
-        with _change_working_dir(flow.code):
-            executable = ExecutableFlow.from_yaml(flow_file=flow.path, working_dir=flow.code)
-        executable.name = str(Path(flow.code).stem)
 
-        return get_local_connections_from_executable(
-            executable=executable, client=client, connections_to_ignore=connections_to_ignore
+        connection_names = (
+            ProxyFactory()
+            .create_inspector_proxy(flow.language)
+            .get_used_connection_names(
+                flow_file=flow.path,
+                working_dir=flow.code,
+                environment_variables_overrides=environment_variables_overrides,
+            )
         )
 
-    @staticmethod
-    def resolve_used_connections(flow: ProtectedFlow, tools_meta: dict, client, connections_to_ignore=None) -> dict:
-        from .._pf_client import PFClient
-
-        client = client or PFClient()
-        connection_names = SubmitterHelper.get_used_connection_names(tools_meta=tools_meta, flow_dag=flow._data)
-        connections_to_ignore = connections_to_ignore or []
-        result = {}
-        for n in connection_names:
-            if n not in connections_to_ignore:
-                conn = client.connections.get(name=n, with_secrets=True)
-                result[n] = conn._to_execution_connection_dict()
-        return result
+        return SubmitterHelper.resolve_connection_names(
+            connection_names=connection_names,
+            client=client,
+            connections_to_ignore=connections_to_ignore,
+            raise_error=True,
+            connections_to_add=connections_to_add,
+        )
 
     @staticmethod
     def get_used_connection_names(tools_meta: dict, flow_dag: dict):
@@ -283,9 +322,21 @@ def resolve_environment_variables(cls, environment_variables: dict, client=None)
         update_dict_value_with_connections(built_connections=connections, connection_dict=environment_variables)
 
     @staticmethod
-    def resolve_connection_names(connection_names, client, raise_error=False):
+    def resolve_connection_names(
+        connection_names,
+        client,
+        *,
+        raise_error=False,
+        connections_to_ignore=None,
+        connections_to_add=None,
+    ):
+        connection_names = set(connection_names)
+        if connections_to_add:
+            connection_names.update(connections_to_add)
         result = {}
         for n in connection_names:
+            if connections_to_ignore and n in connections_to_ignore:
+                continue
             try:
                 conn = client.connections.get(name=n, with_secrets=True)
                 result[n] = conn._to_execution_connection_dict()
@@ -313,7 +364,7 @@ def show_node_log_and_output(node_run_infos, show_node_output, generator_record)
             # TODO executor return a type string of generator
             node_output = node_result.output
             if isinstance(node_result.output, GeneratorType):
-                node_output = "".join(
+                node_output = _safe_join(
                     resolve_generator_output_with_cache(
                         node_output, generator_record, generator_key=f"nodes.{node_name}.output"
                     )
@@ -358,19 +409,33 @@ def resolve_generator_output_with_cache(
                 output = iter(generator_record[generator_key])
         else:
             if hasattr(output.gi_frame.f_locals, "proxy"):
-                proxy = output.gi_frame.f_locals["proxy"]
-                generator_record[generator_key] = proxy
+                generator_record[generator_key] = output.gi_frame.f_locals["proxy"]
             else:
                 generator_record[generator_key] = list(output)
                 output = generator_record[generator_key]
     return output
 
 
+def _safe_join(generator_output):
+    items = []
+    for item in generator_output:
+        if isinstance(item, str):
+            items.append(item)
+        else:
+            try:
+                items.append(str(item))
+            except Exception as e:
+                raise UserErrorException(
+                    message=f"Failed to convert generator output to string: {e}",
+                )
+    return "".join(items)
+
+
 def resolve_generator(flow_result, generator_record):
     # resolve generator in flow result
     for k, v in flow_result.run_info.output.items():
         if isinstance(v, GeneratorType):
-            flow_output = "".join(
+            flow_output = _safe_join(
                 resolve_generator_output_with_cache(v, generator_record, generator_key=f"run.outputs.{k}")
             )
             flow_result.run_info.output[k] = flow_output
@@ -380,7 +445,7 @@ def resolve_generator(flow_result, generator_record):
     # resolve generator in node outputs
     for node_name, node in flow_result.node_run_infos.items():
         if isinstance(node.output, GeneratorType):
-            node_output = "".join(
+            node_output = _safe_join(
                 resolve_generator_output_with_cache(
                     node.output, generator_record, generator_key=f"nodes.{node_name}.output"
                 )
@@ -434,7 +499,7 @@ def calculate_files_content_hash(file_path):
                     if ignore_item in dirs:
                         dirs.remove(ignore_item)
                 for file in files:
-                    with open(os.path.join(root, file), "r") as f:
+                    with open(os.path.join(root, file), "r", encoding="utf-8") as f:
                         relative_path = (Path(root) / file).relative_to(Path(file_path)).as_posix()
                         try:
                             file_content[relative_path] = hashlib.md5(f.read().encode("utf8")).hexdigest()
diff --git a/src/promptflow/promptflow/_sdk/_orm/__init__.py b/src/promptflow-devkit/promptflow/_sdk/_orm/__init__.py
similarity index 100%
rename from src/promptflow/promptflow/_sdk/_orm/__init__.py
rename to src/promptflow-devkit/promptflow/_sdk/_orm/__init__.py
diff --git a/src/promptflow/promptflow/_sdk/_orm/connection.py b/src/promptflow-devkit/promptflow/_sdk/_orm/connection.py
similarity index 100%
rename from src/promptflow/promptflow/_sdk/_orm/connection.py
rename to src/promptflow-devkit/promptflow/_sdk/_orm/connection.py
diff --git a/src/promptflow/promptflow/_sdk/_orm/experiment.py b/src/promptflow-devkit/promptflow/_sdk/_orm/experiment.py
similarity index 100%
rename from src/promptflow/promptflow/_sdk/_orm/experiment.py
rename to src/promptflow-devkit/promptflow/_sdk/_orm/experiment.py
diff --git a/src/promptflow/promptflow/_sdk/_orm/experiment_node_run.py b/src/promptflow-devkit/promptflow/_sdk/_orm/experiment_node_run.py
similarity index 100%
rename from src/promptflow/promptflow/_sdk/_orm/experiment_node_run.py
rename to src/promptflow-devkit/promptflow/_sdk/_orm/experiment_node_run.py
diff --git a/src/promptflow/promptflow/_sdk/_orm/orchestrator.py b/src/promptflow-devkit/promptflow/_sdk/_orm/orchestrator.py
similarity index 100%
rename from src/promptflow/promptflow/_sdk/_orm/orchestrator.py
rename to src/promptflow-devkit/promptflow/_sdk/_orm/orchestrator.py
diff --git a/src/promptflow/promptflow/_sdk/_orm/retry.py b/src/promptflow-devkit/promptflow/_sdk/_orm/retry.py
similarity index 100%
rename from src/promptflow/promptflow/_sdk/_orm/retry.py
rename to src/promptflow-devkit/promptflow/_sdk/_orm/retry.py
diff --git a/src/promptflow/promptflow/_sdk/_orm/run_info.py b/src/promptflow-devkit/promptflow/_sdk/_orm/run_info.py
similarity index 100%
rename from src/promptflow/promptflow/_sdk/_orm/run_info.py
rename to src/promptflow-devkit/promptflow/_sdk/_orm/run_info.py
diff --git a/src/promptflow/promptflow/_sdk/_orm/session.py b/src/promptflow-devkit/promptflow/_sdk/_orm/session.py
similarity index 96%
rename from src/promptflow/promptflow/_sdk/_orm/session.py
rename to src/promptflow-devkit/promptflow/_sdk/_orm/session.py
index b1d7129c65e..eed9ef2dfed 100644
--- a/src/promptflow/promptflow/_sdk/_orm/session.py
+++ b/src/promptflow-devkit/promptflow/_sdk/_orm/session.py
@@ -17,9 +17,11 @@
 from promptflow._sdk._configuration import Configuration
 from promptflow._sdk._constants import (
     CONNECTION_TABLE_NAME,
+    EVENT_TABLENAME,
     EXP_NODE_RUN_TABLE_NAME,
     EXPERIMENT_CREATED_ON_INDEX_NAME,
     EXPERIMENT_TABLE_NAME,
+    LINE_RUN_TABLENAME,
     LOCAL_MGMT_DB_PATH,
     LOCAL_MGMT_DB_SESSION_ACQUIRE_LOCK_PATH,
     ORCHESTRATOR_TABLE_NAME,
@@ -272,10 +274,16 @@ def trace_mgmt_db_session() -> Session:
         engine = create_engine(f"sqlite:///{str(TRACE_MGMT_DB_PATH)}", future=True)
         engine = support_transaction(engine)
 
-        if not inspect(engine).has_table(SPAN_TABLENAME):
-            from promptflow._sdk._orm.trace import Span
+        if any(
+            [
+                not inspect(engine).has_table(EVENT_TABLENAME),
+                not inspect(engine).has_table(SPAN_TABLENAME),
+                not inspect(engine).has_table(LINE_RUN_TABLENAME),
+            ]
+        ):
+            from .trace import Base
 
-            Span.metadata.create_all(engine)
+            Base.metadata.create_all(engine)
 
         trace_session_maker = sessionmaker(bind=engine)
     except Exception as e:  # pylint: disable=broad-except
diff --git a/src/promptflow-devkit/promptflow/_sdk/_orm/trace.py b/src/promptflow-devkit/promptflow/_sdk/_orm/trace.py
new file mode 100644
index 00000000000..0f89c5d0938
--- /dev/null
+++ b/src/promptflow-devkit/promptflow/_sdk/_orm/trace.py
@@ -0,0 +1,230 @@
+# ---------------------------------------------------------
+# Copyright (c) Microsoft Corporation. All rights reserved.
+# ---------------------------------------------------------
+
+import datetime
+import typing
+
+from sqlalchemy import INTEGER, JSON, REAL, TEXT, TIMESTAMP, Column, Index
+from sqlalchemy.orm import Mapped, declarative_base
+
+from promptflow._sdk._constants import EVENT_TABLENAME, LINE_RUN_TABLENAME, SPAN_TABLENAME, TRACE_LIST_DEFAULT_LIMIT
+from promptflow._sdk._errors import LineRunNotFoundError
+
+from .retry import sqlite_retry
+from .session import trace_mgmt_db_session
+
+
+class EventIndexName:
+    TRACE_ID_SPAN_ID = "idx_events_trace_id_span_id"
+
+
+class SpanIndexName:
+    TRACE_ID = "idx_spans_trace_id"
+    TRACE_ID_SPAN_ID = "idx_spans_trace_id_span_id"
+
+
+class LineRunIndexName:
+    RUN_LINE_NUMBER = "idx_line_runs_run_line_number"  # query parent line run
+    PARENT_ID = "idx_line_runs_parent_id"
+    COLLECTION = "idx_line_runs_collection"
+    RUN = "idx_line_runs_run"
+    EXPERIMENT = "idx_line_runs_experiment"
+    TRACE_ID = "idx_line_runs_trace_id"
+    SESSION_ID = "idx_line_runs_session_id"
+
+
+Base = declarative_base()
+
+
+class Event(Base):
+    __tablename__ = EVENT_TABLENAME
+
+    event_id: Mapped[str] = Column(TEXT, primary_key=True)
+    trace_id: Mapped[str] = Column(TEXT)
+    span_id: Mapped[str] = Column(TEXT)
+    data: Mapped[str] = Column(TEXT)
+
+    __table_args__ = (Index(EventIndexName.TRACE_ID_SPAN_ID, "trace_id", "span_id"),)
+
+    @sqlite_retry
+    def persist(self) -> None:
+        with trace_mgmt_db_session() as session:
+            session.add(self)
+            session.commit()
+
+    @staticmethod
+    @sqlite_retry
+    def get(event_id: str) -> "Event":
+        with trace_mgmt_db_session() as session:
+            event = session.query(Event).filter(Event.event_id == event_id).first()
+            # TODO: validate event is None
+            return event
+
+    @staticmethod
+    @sqlite_retry
+    def list(trace_id: str, span_id: str) -> typing.List["Event"]:
+        with trace_mgmt_db_session() as session:
+            events = session.query(Event).filter(Event.trace_id == trace_id, Event.span_id == span_id).all()
+            return events
+
+
+class Span(Base):
+    __tablename__ = SPAN_TABLENAME
+
+    trace_id: Mapped[str] = Column(TEXT)
+    span_id: Mapped[str] = Column(TEXT, primary_key=True)
+    name: Mapped[str] = Column(TEXT)
+    context: Mapped[typing.Dict] = Column(JSON)
+    kind: Mapped[str] = Column(TEXT)
+    parent_id: Mapped[typing.Optional[str]] = Column(TEXT, nullable=True)
+    start_time: Mapped[datetime.datetime] = Column(TIMESTAMP)
+    end_time: Mapped[datetime.datetime] = Column(TIMESTAMP)
+    status: Mapped[typing.Dict] = Column(JSON)
+    attributes: Mapped[typing.Optional[typing.Dict]] = Column(JSON, nullable=True)
+    links: Mapped[typing.Optional[typing.List]] = Column(JSON, nullable=True)
+    events: Mapped[typing.Optional[typing.List]] = Column(JSON, nullable=True)
+    resource: Mapped[typing.Dict] = Column(JSON)
+
+    __table_args__ = (
+        Index(SpanIndexName.TRACE_ID, "trace_id"),
+        Index(SpanIndexName.TRACE_ID_SPAN_ID, "trace_id", "span_id"),
+    )
+
+    @sqlite_retry
+    def persist(self) -> None:
+        with trace_mgmt_db_session() as session:
+            session.add(self)
+            session.commit()
+
+    @staticmethod
+    @sqlite_retry
+    def get(span_id: str, trace_id: typing.Optional[str] = None) -> "Span":
+        with trace_mgmt_db_session() as session:
+            query = session.query(Span)
+            if trace_id is not None:
+                query = query.filter(Span.trace_id == trace_id, Span.span_id == span_id)
+            else:
+                query = query.filter(Span.span_id == span_id)
+            span = query.first()
+            # TODO: validate span is None
+            return span
+
+    @staticmethod
+    @sqlite_retry
+    def list(trace_ids: typing.Union[str, typing.List[str]]) -> typing.List["Span"]:
+        if isinstance(trace_ids, str):
+            trace_ids = [trace_ids]
+        with trace_mgmt_db_session() as session:
+            spans = session.query(Span).filter(Span.trace_id.in_(trace_ids)).all()
+            return spans
+
+
+class LineRun(Base):
+    __tablename__ = LINE_RUN_TABLENAME
+
+    line_run_id: Mapped[str] = Column(TEXT, primary_key=True)
+    trace_id: Mapped[str] = Column(TEXT)
+    root_span_id: Mapped[typing.Optional[str]] = Column(TEXT, nullable=True)
+    inputs: Mapped[typing.Optional[typing.Dict]] = Column(JSON, nullable=True)
+    outputs: Mapped[typing.Optional[typing.Dict]] = Column(JSON, nullable=True)
+    start_time: Mapped[datetime.datetime] = Column(TIMESTAMP)
+    end_time: Mapped[typing.Optional[datetime.datetime]] = Column(TIMESTAMP, nullable=True)
+    status: Mapped[typing.Optional[str]] = Column(TEXT, nullable=True)
+    duration: Mapped[typing.Optional[float]] = Column(REAL, nullable=True)
+    name: Mapped[typing.Optional[str]] = Column(TEXT, nullable=True)
+    kind: Mapped[typing.Optional[str]] = Column(TEXT, nullable=True)
+    cumulative_token_count: Mapped[typing.Optional[typing.Dict]] = Column(JSON, nullable=True)
+    parent_id: Mapped[typing.Optional[str]] = Column(TEXT, nullable=True)
+    run: Mapped[typing.Optional[str]] = Column(TEXT, nullable=True)
+    line_number: Mapped[typing.Optional[int]] = Column(INTEGER, nullable=True)
+    experiment: Mapped[typing.Optional[str]] = Column(TEXT, nullable=True)
+    session_id: Mapped[typing.Optional[str]] = Column(TEXT, nullable=True)
+    collection: Mapped[str] = Column(TEXT)
+
+    __table_args__ = (
+        Index(LineRunIndexName.RUN_LINE_NUMBER, "run", "line_number"),
+        Index(LineRunIndexName.PARENT_ID, "parent_id"),
+        Index(LineRunIndexName.COLLECTION, "collection"),
+        Index(LineRunIndexName.RUN, "run"),
+        Index(LineRunIndexName.EXPERIMENT, "experiment"),
+        Index(LineRunIndexName.TRACE_ID, "trace_id"),
+        Index(LineRunIndexName.SESSION_ID, "session_id"),
+    )
+
+    @sqlite_retry
+    def persist(self) -> None:
+        with trace_mgmt_db_session() as session:
+            session.add(self)
+            session.commit()
+
+    @staticmethod
+    @sqlite_retry
+    def get(line_run_id: str) -> "LineRun":
+        with trace_mgmt_db_session() as session:
+            line_run = session.query(LineRun).filter(LineRun.line_run_id == line_run_id).first()
+            if line_run is None:
+                raise LineRunNotFoundError(f"Line run {line_run_id!r} cannot found.")
+            return line_run
+
+    @staticmethod
+    @sqlite_retry
+    def _get_with_run_and_line_number(run: str, line_number: int) -> typing.Optional["LineRun"]:
+        # this function is currently exclusively used to query parent line run
+        with trace_mgmt_db_session() as session:
+            line_run = (
+                session.query(LineRun)
+                .filter(
+                    LineRun.run == run,
+                    LineRun.line_number == line_number,
+                )
+                .first()
+            )
+            return line_run
+
+    @staticmethod
+    @sqlite_retry
+    def list(
+        collection: typing.Optional[str] = None,
+        runs: typing.Optional[typing.List[str]] = None,
+        experiments: typing.Optional[typing.List[str]] = None,
+        trace_ids: typing.Optional[typing.List[str]] = None,
+    ) -> typing.List["LineRun"]:
+        with trace_mgmt_db_session() as session:
+            query = session.query(LineRun)
+            if collection is not None:
+                query = query.filter(LineRun.collection == collection)
+            elif runs is not None:
+                query = query.filter(LineRun.run.in_(runs))
+            elif experiments is not None:
+                query = query.filter(LineRun.experiment.in_(experiments))
+            elif trace_ids is not None:
+                query = query.filter(LineRun.trace_id.in_(trace_ids))
+            query = query.order_by(LineRun.start_time.desc())
+            if collection is not None:
+                query = query.limit(TRACE_LIST_DEFAULT_LIMIT)
+            return query.all()
+
+    @sqlite_retry
+    def _update(self) -> None:
+        update_dict = {
+            "root_span_id": self.root_span_id,
+            "inputs": self.inputs,
+            "outputs": self.outputs,
+            "end_time": self.end_time,
+            "status": self.status,
+            "duration": self.duration,
+            "name": self.name,
+            "kind": self.kind,
+            "cumulative_token_count": self.cumulative_token_count,
+        }
+        with trace_mgmt_db_session() as session:
+            session.query(LineRun).filter(LineRun.line_run_id == self.line_run_id).update(update_dict)
+            session.commit()
+
+    @staticmethod
+    @sqlite_retry
+    def _get_children(line_run_id: str) -> typing.List["LineRun"]:
+        with trace_mgmt_db_session() as session:
+            line_runs = session.query(LineRun).filter(LineRun.parent_id == line_run_id).all()
+            return line_runs
diff --git a/src/promptflow/promptflow/_sdk/_pf_client.py b/src/promptflow-devkit/promptflow/_sdk/_pf_client.py
similarity index 68%
rename from src/promptflow/promptflow/_sdk/_pf_client.py
rename to src/promptflow-devkit/promptflow/_sdk/_pf_client.py
index c6f99a0ef6e..2ecb3db70a9 100644
--- a/src/promptflow/promptflow/_sdk/_pf_client.py
+++ b/src/promptflow-devkit/promptflow/_sdk/_pf_client.py
@@ -4,16 +4,20 @@
 import os
 from os import PathLike
 from pathlib import Path
-from typing import Any, Dict, List, Union
+from typing import Any, Callable, Dict, List, Optional, Union
+
+from promptflow._constants import USER_AGENT_OVERRIDE_KEY, ConnectionProviderConfig, FlowLanguage
+from promptflow._utils.logger_utils import get_cli_sdk_logger
+from promptflow._utils.user_agent_utils import ClientUserAgentUtil, setup_user_agent_to_operation_context
+from promptflow.exceptions import ErrorTarget, UserErrorException
 
-from .._utils.logger_utils import get_cli_sdk_logger
 from ._configuration import Configuration
 from ._constants import MAX_SHOW_DETAILS_RESULTS
 from ._load_functions import load_flow
 from ._user_agent import USER_AGENT
-from ._utils import ClientUserAgentUtil, get_connection_operation, setup_user_agent_to_operation_context
+from ._utils import generate_yaml_entry
 from .entities import Run
-from .entities._eager_flow import EagerFlow
+from .entities._flow import FlexFlow
 from .operations import RunOperations
 from .operations._connection_operations import ConnectionOperations
 from .operations._experiment_operations import ExperimentOperations
@@ -34,26 +38,31 @@ class PFClient:
 
     def __init__(self, **kwargs):
         logger.debug("PFClient init with kwargs: %s", kwargs)
-        self._runs = RunOperations(self)
+        # when this is set, telemetry from this client will use this user agent and ignore the one from OperationContext
+        self._user_agent_override = kwargs.pop(USER_AGENT_OVERRIDE_KEY, None)
         self._connection_provider = kwargs.pop("connection_provider", None)
         self._config = kwargs.get("config", None) or {}
         # The credential is used as an option to override
         # DefaultAzureCredential when using workspace connection provider
         self._credential = kwargs.get("credential", None)
+
+        # user_agent_override will be applied to all TelemetryMixin operations
+        self._runs = RunOperations(self, user_agent_override=self._user_agent_override)
+        self._flows = FlowOperations(client=self, user_agent_override=self._user_agent_override)
+        self._experiments = ExperimentOperations(self, user_agent_override=self._user_agent_override)
         # Lazy init to avoid azure credential requires too early
         self._connections = None
-        self._flows = FlowOperations(client=self)
+
         self._tools = ToolOperations()
         # add user agent from kwargs if any
         if isinstance(kwargs.get("user_agent"), str):
             ClientUserAgentUtil.append_user_agent(kwargs["user_agent"])
-        self._experiments = ExperimentOperations(self)
         self._traces = TraceOperations()
         setup_user_agent_to_operation_context(USER_AGENT)
 
     def run(
         self,
-        flow: Union[str, PathLike] = None,
+        flow: Union[str, PathLike, Callable] = None,
         *,
         data: Union[str, PathLike] = None,
         run: Union[str, Run] = None,
@@ -65,6 +74,8 @@ def run(
         display_name: str = None,
         tags: Dict[str, str] = None,
         resume_from: Union[str, Run] = None,
+        code: Union[str, PathLike] = None,
+        init: Optional[dict] = None,
         **kwargs,
     ) -> Run:
         """Run flow against provided data or run.
@@ -115,9 +126,15 @@ def run(
         :type tags: Dict[str, str]
         :param resume_from: Create run resume from an existing run.
         :type resume_from: str
+        :param code: Path to the code directory to run.
+        :type code: Union[str, PathLike]
+        :param init: Initialization parameters for flex flow, only supported when flow is callable class.
+        :type init: dict
         :return: Flow run info.
         :rtype: ~promptflow.entities.Run
         """
+        from promptflow._proxy import ProxyFactory
+
         if resume_from:
             unsupported = {
                 k: v
@@ -142,33 +159,41 @@ def run(
             )
         if not flow:
             raise ValueError("'flow' is required to create a run.")
-        if not os.path.exists(flow):
-            raise FileNotFoundError(f"flow path {flow} does not exist")
+        if callable(flow):
+            logger.debug(f"flow entry {flow} is a callable.")
+        elif ProxyFactory().get_executor_proxy_cls(FlowLanguage.Python).is_flex_flow_entry(entry=flow):
+            logger.debug(f"flow entry {flow} is a python flex flow.")
+        elif os.path.exists(flow):
+            logger.debug(f"flow entry {flow} is a local path.")
+        else:
+            raise UserErrorException(f"Flow path {flow} does not exist and it's not a valid entry point.")
         if data and not os.path.exists(data):
             raise FileNotFoundError(f"data path {data} does not exist")
         if not run and not data:
             raise ValueError("at least one of data or run must be provided")
-        # load flow object for validation and early failure
-        flow_obj = load_flow(source=flow)
-        # validate param conflicts
-        if isinstance(flow_obj, EagerFlow):
-            if variant or connections:
-                logger.warning("variant and connections are not supported for eager flow, will be ignored")
-                variant, connections = None, None
-        run = Run(
-            name=name,
-            display_name=display_name,
-            tags=tags,
-            data=data,
-            column_mapping=column_mapping,
-            run=run,
-            variant=variant,
-            flow=Path(flow),
-            connections=connections,
-            environment_variables=environment_variables,
-            config=Configuration(overrides=self._config),
-        )
-        return self.runs.create_or_update(run=run, **kwargs)
+        with generate_yaml_entry(entry=flow, code=code) as flow:
+            # load flow object for validation and early failure
+            flow_obj = load_flow(source=flow)
+            # validate param conflicts
+            if isinstance(flow_obj, FlexFlow):
+                if variant or connections:
+                    logger.warning("variant and connections are not supported for eager flow, will be ignored")
+                    variant, connections = None, None
+            run = Run(
+                name=name,
+                display_name=display_name,
+                tags=tags,
+                data=data,
+                column_mapping=column_mapping,
+                run=run,
+                variant=variant,
+                flow=Path(flow),
+                connections=connections,
+                environment_variables=environment_variables,
+                config=Configuration(overrides=self._config),
+                init=init,
+            )
+            return self.runs.create_or_update(run=run, **kwargs)
 
     def stream(self, run: Union[str, Run], raise_on_error: bool = True) -> Run:
         """Stream run logs to the console.
@@ -243,9 +268,41 @@ def connections(self) -> ConnectionOperations:
         """Connection operations that can manage connections."""
         if not self._connections:
             self._ensure_connection_provider()
-            self._connections = get_connection_operation(self._connection_provider, self._credential)
+            self._connections = PFClient._build_connection_operation(
+                self._connection_provider,
+                self._credential,
+                user_agent_override=self._user_agent_override,
+            )
         return self._connections
 
+    @staticmethod
+    def _build_connection_operation(connection_provider: str, credential=None, **kwargs):
+        """
+        Build a ConnectionOperation object based on connection provider.
+
+        :param connection_provider: Connection provider, e.g. local, azureml, azureml://subscriptions..., etc.
+        :type connection_provider: str
+        :param credential: Credential when remote provider, default to chained credential DefaultAzureCredential.
+        :type credential: object
+        """
+        if connection_provider == ConnectionProviderConfig.LOCAL:
+            from promptflow._sdk.operations._connection_operations import ConnectionOperations
+
+            logger.debug("PFClient using local connection operations.")
+            connection_operation = ConnectionOperations(**kwargs)
+        elif connection_provider.startswith(ConnectionProviderConfig.AZUREML):
+            from promptflow._sdk.operations._local_azure_connection_operations import LocalAzureConnectionOperations
+
+            logger.debug(f"PFClient using local azure connection operations with credential {credential}.")
+            connection_operation = LocalAzureConnectionOperations(connection_provider, credential=credential, **kwargs)
+        else:
+            raise UserErrorException(
+                target=ErrorTarget.CONTROL_PLANE_SDK,
+                message_format="Unsupported connection provider: {connection_provider}",
+                connection_provider=connection_provider,
+            )
+        return connection_operation
+
     @property
     def flows(self) -> FlowOperations:
         """Operations on the flow that can manage flows."""
@@ -282,3 +339,8 @@ def test(
         return self.flows.test(
             flow=flow, inputs=inputs, variant=variant, environment_variables=environment_variables, node=node
         )
+
+    @property
+    def traces(self) -> TraceOperations:
+        """Operations on the trace that can manage traces."""
+        return self._traces
diff --git a/src/promptflow/promptflow/_sdk/_run_functions.py b/src/promptflow-devkit/promptflow/_sdk/_run_functions.py
similarity index 100%
rename from src/promptflow/promptflow/_sdk/_run_functions.py
rename to src/promptflow-devkit/promptflow/_sdk/_run_functions.py
diff --git a/src/promptflow/promptflow/_sdk/_service/.gitignore b/src/promptflow-devkit/promptflow/_sdk/_service/.gitignore
similarity index 100%
rename from src/promptflow/promptflow/_sdk/_service/.gitignore
rename to src/promptflow-devkit/promptflow/_sdk/_service/.gitignore
diff --git a/src/promptflow/promptflow/_sdk/_service/README.md b/src/promptflow-devkit/promptflow/_sdk/_service/README.md
similarity index 100%
rename from src/promptflow/promptflow/_sdk/_service/README.md
rename to src/promptflow-devkit/promptflow/_sdk/_service/README.md
diff --git a/src/promptflow/promptflow/_sdk/_service/__init__.py b/src/promptflow-devkit/promptflow/_sdk/_service/__init__.py
similarity index 100%
rename from src/promptflow/promptflow/_sdk/_service/__init__.py
rename to src/promptflow-devkit/promptflow/_sdk/_service/__init__.py
diff --git a/src/promptflow/promptflow/azure/_schemas/__init__.py b/src/promptflow-devkit/promptflow/_sdk/_service/apis/__init__.py
similarity index 100%
rename from src/promptflow/promptflow/azure/_schemas/__init__.py
rename to src/promptflow-devkit/promptflow/_sdk/_service/apis/__init__.py
diff --git a/src/promptflow-devkit/promptflow/_sdk/_service/apis/collector.py b/src/promptflow-devkit/promptflow/_sdk/_service/apis/collector.py
new file mode 100644
index 00000000000..664d8ad73b0
--- /dev/null
+++ b/src/promptflow-devkit/promptflow/_sdk/_service/apis/collector.py
@@ -0,0 +1,202 @@
+# ---------------------------------------------------------
+# Copyright (c) Microsoft Corporation. All rights reserved.
+# ---------------------------------------------------------
+
+# this file is different from other files in this folder
+# functions (APIs) defined in this file follows OTLP 1.1.0
+# https://opentelemetry.io/docs/specs/otlp/#otlphttp-request
+# to provide OTLP/HTTP endpoint as OTEL collector
+
+import copy
+import json
+import logging
+import traceback
+from datetime import datetime
+from typing import Callable, List, Optional
+
+from flask import request
+from google.protobuf.json_format import MessageToJson
+from opentelemetry.proto.collector.trace.v1.trace_service_pb2 import ExportTraceServiceRequest
+
+from promptflow._constants import CosmosDBContainerName, SpanResourceAttributesFieldName, SpanResourceFieldName
+from promptflow._sdk._constants import TRACE_DEFAULT_COLLECTION
+from promptflow._sdk._utils import parse_kv_from_pb_attribute
+from promptflow._sdk.entities._trace import Span
+from promptflow._utils.thread_utils import ThreadWithContextVars
+
+
+def trace_collector(
+    get_created_by_info_with_cache: Callable,
+    logger: logging.Logger,
+    cloud_trace_only: bool = False,
+    credential: Optional[object] = None,
+):
+    """Collect traces from OTLP/HTTP endpoint and write to local/remote storage.
+
+    This function is target to be reused in other places, so pass in get_created_by_info_with_cache and logger to avoid
+    app related dependencies.
+
+    :param get_created_by_info_with_cache: A function that retrieves information about the creator of the trace.
+    :type get_created_by_info_with_cache: Callable
+    :param logger: The logger object used for logging.
+    :type logger: logging.Logger
+    :param cloud_trace_only: If True, only write trace to cosmosdb and skip local trace. Default is False.
+    :type cloud_trace_only: bool
+    :param credential: The credential object used to authenticate with cosmosdb. Default is None.
+    :type credential: Optional[object]
+    """
+    content_type = request.headers.get("Content-Type")
+    # binary protobuf encoding
+    if "application/x-protobuf" in content_type:
+        traces_request = ExportTraceServiceRequest()
+        traces_request.ParseFromString(request.data)
+        all_spans = []
+        for resource_span in traces_request.resource_spans:
+            resource_attributes = dict()
+            for attribute in resource_span.resource.attributes:
+                attribute_dict = json.loads(MessageToJson(attribute))
+                attr_key, attr_value = parse_kv_from_pb_attribute(attribute_dict)
+                resource_attributes[attr_key] = attr_value
+            if SpanResourceAttributesFieldName.COLLECTION not in resource_attributes:
+                resource_attributes[SpanResourceAttributesFieldName.COLLECTION] = TRACE_DEFAULT_COLLECTION
+            resource = {
+                SpanResourceFieldName.ATTRIBUTES: resource_attributes,
+                SpanResourceFieldName.SCHEMA_URL: resource_span.schema_url,
+            }
+            for scope_span in resource_span.scope_spans:
+                for span in scope_span.spans:
+                    # TODO: persist with batch
+                    span = Span._from_protobuf_object(span, resource=resource, logger=logger)
+                    if not cloud_trace_only:
+                        all_spans.append(copy.deepcopy(span))
+                        span._persist()
+                    else:
+                        all_spans.append(span)
+
+        if cloud_trace_only:
+            # If we only trace to cloud, we should make sure the data writing is success before return.
+            _try_write_trace_to_cosmosdb(
+                all_spans, get_created_by_info_with_cache, logger, credential, is_cloud_trace=True
+            )
+        else:
+            # Create a new thread to write trace to cosmosdb to avoid blocking the main thread
+            ThreadWithContextVars(
+                target=_try_write_trace_to_cosmosdb,
+                args=(all_spans, get_created_by_info_with_cache, logger, credential, False),
+            ).start()
+        return "Traces received", 200
+
+    # JSON protobuf encoding
+    elif "application/json" in content_type:
+        raise NotImplementedError
+
+
+def _try_write_trace_to_cosmosdb(
+    all_spans: List[Span],
+    get_created_by_info_with_cache: Callable,
+    logger: logging.Logger,
+    credential: Optional[object] = None,
+    is_cloud_trace: bool = False,
+):
+    if not all_spans:
+        return
+    try:
+        first_span = all_spans[0]
+        span_resource = first_span.resource
+        resource_attributes = span_resource.get(SpanResourceFieldName.ATTRIBUTES, {})
+        subscription_id = resource_attributes.get(SpanResourceAttributesFieldName.SUBSCRIPTION_ID, None)
+        resource_group_name = resource_attributes.get(SpanResourceAttributesFieldName.RESOURCE_GROUP_NAME, None)
+        workspace_name = resource_attributes.get(SpanResourceAttributesFieldName.WORKSPACE_NAME, None)
+        if subscription_id is None or resource_group_name is None or workspace_name is None:
+            logger.debug("Cannot find workspace info in span resource, skip writing trace to cosmosdb.")
+            return
+
+        logger.info(f"Start writing trace to cosmosdb, total spans count: {len(all_spans)}.")
+        start_time = datetime.now()
+
+        from promptflow.azure._storage.cosmosdb.client import get_client
+        from promptflow.azure._storage.cosmosdb.collection import CollectionCosmosDB
+        from promptflow.azure._storage.cosmosdb.span import Span as SpanCosmosDB
+        from promptflow.azure._storage.cosmosdb.summary import Summary
+
+        # Load span, collection and summary clients first time may slow.
+        # So, we load clients in parallel for warm up.
+        span_client_thread = ThreadWithContextVars(
+            target=get_client,
+            args=(CosmosDBContainerName.SPAN, subscription_id, resource_group_name, workspace_name, credential),
+        )
+        span_client_thread.start()
+
+        collection_client_thread = ThreadWithContextVars(
+            target=get_client,
+            args=(CosmosDBContainerName.COLLECTION, subscription_id, resource_group_name, workspace_name, credential),
+        )
+        collection_client_thread.start()
+
+        line_summary_client_thread = ThreadWithContextVars(
+            target=get_client,
+            args=(CosmosDBContainerName.LINE_SUMMARY, subscription_id, resource_group_name, workspace_name, credential),
+        )
+        line_summary_client_thread.start()
+
+        # Load created_by info first time may slow. So, we load it in parallel for warm up.
+        created_by_thread = ThreadWithContextVars(target=get_created_by_info_with_cache)
+        created_by_thread.start()
+
+        # Get default blob may be slow. So, we have a cache for default datastore.
+        from promptflow.azure._storage.blob.client import get_datastore_container_client
+
+        blob_container_client, blob_base_uri = get_datastore_container_client(
+            logger=logger,
+            subscription_id=subscription_id,
+            resource_group_name=resource_group_name,
+            workspace_name=workspace_name,
+            credential=credential,
+        )
+
+        span_client_thread.join()
+        collection_client_thread.join()
+        line_summary_client_thread.join()
+        created_by_thread.join()
+
+        created_by = get_created_by_info_with_cache()
+        collection_client = get_client(
+            CosmosDBContainerName.COLLECTION, subscription_id, resource_group_name, workspace_name, credential
+        )
+
+        collection_db = CollectionCosmosDB(first_span, is_cloud_trace, created_by)
+        collection_db.create_collection_if_not_exist(collection_client)
+        # For runtime, collection id is flow id for test, batch run id for batch run.
+        # For local, collection id is collection name + user id for non batch run, batch run id for batch run.
+        # We assign it to LineSummary and Span and use it as partition key.
+        collection_id = collection_db.collection_id
+
+        for span in all_spans:
+            span_client = get_client(
+                CosmosDBContainerName.SPAN, subscription_id, resource_group_name, workspace_name, credential
+            )
+            result = SpanCosmosDB(span, collection_id, created_by).persist(
+                span_client, blob_container_client, blob_base_uri
+            )
+            # None means the span already exists, then we don't need to persist the summary also.
+            if result is not None:
+                line_summary_client = get_client(
+                    CosmosDBContainerName.LINE_SUMMARY,
+                    subscription_id,
+                    resource_group_name,
+                    workspace_name,
+                    credential,
+                )
+                Summary(span, collection_id, created_by, logger).persist(line_summary_client)
+        collection_db.update_collection_updated_at_info(collection_client)
+        logger.info(
+            (
+                f"Finish writing trace to cosmosdb, total spans count: {len(all_spans)}."
+                f" Duration {datetime.now() - start_time}."
+            )
+        )
+
+    except Exception as e:
+        stack_trace = traceback.format_exc()
+        logger.error(f"Failed to write trace to cosmosdb: {e}, stack trace is {stack_trace}")
+        return
diff --git a/src/promptflow/promptflow/_sdk/_service/apis/connection.py b/src/promptflow-devkit/promptflow/_sdk/_service/apis/connection.py
similarity index 96%
rename from src/promptflow/promptflow/_sdk/_service/apis/connection.py
rename to src/promptflow-devkit/promptflow/_sdk/_service/apis/connection.py
index 831930d9b67..1d670237523 100644
--- a/src/promptflow/promptflow/_sdk/_service/apis/connection.py
+++ b/src/promptflow-devkit/promptflow/_sdk/_service/apis/connection.py
@@ -10,7 +10,7 @@
 import promptflow._sdk.schemas._connection as connection
 from promptflow._sdk._configuration import Configuration
 from promptflow._sdk._service import Namespace, Resource, fields
-from promptflow._sdk._service.utils.utils import build_pfs_user_agent, local_user_only, make_response_no_content
+from promptflow._sdk._service.utils.utils import get_client_from_request, local_user_only, make_response_no_content
 from promptflow._sdk.entities._connection import _Connection
 
 api = Namespace("Connections", description="Connections Management")
@@ -66,14 +66,10 @@ def validate_working_directory(value):
 
 
 def _get_connection_operation(working_directory=None):
-    from promptflow._sdk._pf_client import PFClient
-
     connection_provider = Configuration().get_connection_provider(path=working_directory)
     # get_connection_operation is a shared function, so we build user agent based on request first and
     # then pass it to the function
-    connection_operation = PFClient(
-        connection_provider=connection_provider, user_agent=build_pfs_user_agent()
-    ).connections
+    connection_operation = get_client_from_request(connection_provider=connection_provider).connections
     return connection_operation
 
 
diff --git a/src/promptflow-devkit/promptflow/_sdk/_service/apis/experiment.py b/src/promptflow-devkit/promptflow/_sdk/_service/apis/experiment.py
new file mode 100644
index 00000000000..2a2d8e4eeae
--- /dev/null
+++ b/src/promptflow-devkit/promptflow/_sdk/_service/apis/experiment.py
@@ -0,0 +1,32 @@
+# ---------------------------------------------------------
+# Copyright (c) Microsoft Corporation. All rights reserved.
+# ---------------------------------------------------------
+from flask import jsonify, request
+
+from promptflow._sdk._constants import get_list_view_type
+from promptflow._sdk._service import Namespace, Resource
+from promptflow._sdk._service.utils.utils import get_client_from_request
+
+api = Namespace("Experiments", description="Experiments Management")
+
+# Response model of experiment operation
+dict_field = api.schema_model("ExperimentDict", {"additionalProperties": True, "type": "object"})
+list_field = api.schema_model("ExperimentList", {"type": "array", "items": {"$ref": "#/definitions/ExperimentDict"}})
+
+
+@api.route("/")
+class ExperimentList(Resource):
+    @api.response(code=200, description="Experiments", model=list_field)
+    @api.doc(description="List all experiments")
+    def get(self):
+        # parse query parameters
+        max_results = request.args.get("max_results", default=50, type=int)
+        archived_only = request.args.get("archived_only", default=False, type=bool)
+        include_archived = request.args.get("include_archived", default=False, type=bool)
+        list_view_type = get_list_view_type(archived_only=archived_only, include_archived=include_archived)
+
+        experiments = get_client_from_request()._experiments.list(
+            max_results=max_results, list_view_type=list_view_type
+        )
+        experiments_dict = [experiment._to_dict() for experiment in experiments]
+        return jsonify(experiments_dict)
diff --git a/src/promptflow-devkit/promptflow/_sdk/_service/apis/flow.py b/src/promptflow-devkit/promptflow/_sdk/_service/apis/flow.py
new file mode 100644
index 00000000000..b6a14b616b0
--- /dev/null
+++ b/src/promptflow-devkit/promptflow/_sdk/_service/apis/flow.py
@@ -0,0 +1,147 @@
+# ---------------------------------------------------------
+# Copyright (c) Microsoft Corporation. All rights reserved.
+# ---------------------------------------------------------
+import json
+import os
+import shutil
+import uuid
+from pathlib import Path
+
+from flask import make_response
+from flask_restx import reqparse
+
+from promptflow._sdk._constants import DEFAULT_ENCODING, PROMPT_FLOW_DIR_NAME, UX_INPUTS_JSON
+from promptflow._sdk._service import Namespace, Resource, fields
+from promptflow._sdk._service.utils.utils import decrypt_flow_path, get_client_from_request
+from promptflow._sdk._utils import json_load, read_write_by_user
+from promptflow._utils.flow_utils import resolve_flow_path
+from promptflow._utils.yaml_utils import load_yaml
+from promptflow.exceptions import UserErrorException
+
+api = Namespace("Flows", description="Flows Management")
+
+
+dict_field = api.schema_model("FlowDict", {"additionalProperties": True, "type": "object"})
+
+flow_test_model = api.model(
+    "FlowTest",
+    {
+        "node": fields.String(
+            required=False, description="If specified it will only test this node, else it will " "test the flow."
+        ),
+        "variant": fields.String(
+            required=False,
+            description="Node & variant name in format of ${"
+            "node_name.variant_name}, will use default variant if "
+            "not specified.",
+        ),
+        "output_path": fields.String(required=False, description="Output path of flow"),
+        "experiment": fields.String(required=False, description="Path of experiment template"),
+        "inputs": fields.Nested(dict_field, required=False),
+        "environment_variables": fields.Nested(dict_field, required=False),
+    },
+)
+
+flow_ux_input_model = api.model(
+    "FlowUxInput",
+    {
+        "flow": fields.String(required=True, description="Path to flow directory."),
+        "ux_inputs": fields.Nested(dict_field, required=True, description="Flow ux inputs"),
+    },
+)
+
+flow_path_parser = reqparse.RequestParser()
+flow_path_parser.add_argument("flow", type=str, required=True, location="args", help="Path to flow directory.")
+
+
+@api.route("/test")
+class FlowTest(Resource):
+    @api.response(code=200, description="Flow test", model=dict_field)
+    @api.doc(description="Flow test")
+    @api.expect(flow_test_model)
+    def post(self):
+        args = flow_path_parser.parse_args()
+        flow = args.flow
+        flow = decrypt_flow_path(flow)
+        inputs = api.payload.get("inputs", None)
+        environment_variables = api.payload.get("environment_variables", None)
+        variant = api.payload.get("variant", None)
+        node = api.payload.get("node", None)
+        experiment = api.payload.get("experiment", None)
+        output_path = api.payload.get("output_path", None)
+        remove_dir = False
+
+        if output_path is None:
+            filename = str(uuid.uuid4())
+            if os.path.isdir(flow):
+                output_path = Path(flow) / PROMPT_FLOW_DIR_NAME / filename
+            else:
+                output_path = Path(os.path.dirname(flow)) / PROMPT_FLOW_DIR_NAME / filename
+            os.makedirs(output_path, exist_ok=True)
+            remove_dir = True
+        output_path = Path(output_path).resolve()
+        try:
+            result = get_client_from_request().flows._test_with_ui(
+                flow=flow,
+                inputs=inputs,
+                environment_variables=environment_variables,
+                variant=variant,
+                node=node,
+                experiment=experiment,
+                output_path=output_path,
+                allow_generator_output=False,
+                stream_output=False,
+            )
+        finally:
+            if remove_dir:
+                shutil.rmtree(output_path)
+        return result
+
+
+@api.route("/get")
+class FlowGet(Resource):
+    @api.response(code=200, description="Return flow yaml as json", model=dict_field)
+    @api.doc(description="Return flow yaml as json")
+    def get(self):
+        args = flow_path_parser.parse_args()
+        flow_path = args.flow
+        flow_path = decrypt_flow_path(flow_path)
+        if not os.path.exists(flow_path):
+            raise UserErrorException(f"The flow doesn't exist: {flow_path}")
+        flow_path_dir, flow_path_file = resolve_flow_path(Path(flow_path))
+        flow_info = load_yaml(flow_path_dir / flow_path_file)
+        return flow_info
+
+
+@api.route("/ux_inputs")
+class FlowUxInputs(Resource):
+    @api.response(code=200, description="Get the file content of file UX_INPUTS_JSON", model=dict_field)
+    @api.doc(description="Get the file content of file UX_INPUTS_JSON")
+    def get(self):
+        args = flow_path_parser.parse_args()
+        flow_path = args.flow
+        flow_path = decrypt_flow_path(flow_path)
+        if not os.path.exists(flow_path):
+            raise UserErrorException(f"The flow doesn't exist: {flow_path}")
+        flow_ux_inputs_path = Path(flow_path) / PROMPT_FLOW_DIR_NAME / UX_INPUTS_JSON
+        if not flow_ux_inputs_path.exists():
+            flow_ux_inputs_path.touch(mode=read_write_by_user(), exist_ok=True)
+        try:
+            ux_inputs = json_load(flow_ux_inputs_path)
+        except json.decoder.JSONDecodeError:
+            ux_inputs = {}
+        return ux_inputs
+
+    @api.response(code=200, description="Set the file content of file UX_INPUTS_JSON", model=dict_field)
+    @api.doc(description="Set the file content of file UX_INPUTS_JSON")
+    @api.expect(flow_ux_input_model)
+    def post(self):
+        content = api.payload["ux_inputs"]
+        args = flow_path_parser.parse_args()
+        flow_path = args.flow
+        flow_path = decrypt_flow_path(flow_path)
+        flow_ux_inputs_path = Path(flow_path) / PROMPT_FLOW_DIR_NAME / UX_INPUTS_JSON
+        flow_ux_inputs_path.touch(mode=read_write_by_user(), exist_ok=True)
+        with open(flow_ux_inputs_path, mode="w", encoding=DEFAULT_ENCODING) as f:
+            json.dump(content, f, ensure_ascii=False, indent=2)
+        return make_response("UX_INPUTS_JSON content updated successfully", 200)
diff --git a/src/promptflow/promptflow/_sdk/_service/apis/line_run.py b/src/promptflow-devkit/promptflow/_sdk/_service/apis/line_run.py
similarity index 80%
rename from src/promptflow/promptflow/_sdk/_service/apis/line_run.py
rename to src/promptflow-devkit/promptflow/_sdk/_service/apis/line_run.py
index 97b4c0a3466..38362a62b75 100644
--- a/src/promptflow/promptflow/_sdk/_service/apis/line_run.py
+++ b/src/promptflow-devkit/promptflow/_sdk/_service/apis/line_run.py
@@ -3,30 +3,34 @@
 # ---------------------------------------------------------
 
 import typing
-from dataclasses import asdict, dataclass
+from dataclasses import dataclass
 
 from flask_restx import fields
 
 from promptflow._sdk._constants import PFS_MODEL_DATETIME_FORMAT, CumulativeTokenCountFieldName, LineRunFieldName
+from promptflow._sdk._pf_client import PFClient
 from promptflow._sdk._service import Namespace, Resource
 from promptflow._sdk._service.utils.utils import get_client_from_request
-from promptflow._sdk.entities._trace import LineRun
+from promptflow._sdk.entities._trace import LineRun as LineRunEntity
 
 api = Namespace("LineRuns", description="Line runs management")
 
 # parsers for query parameters
 list_line_run_parser = api.parser()
 list_line_run_parser.add_argument("session", type=str, required=False)
+list_line_run_parser.add_argument("collection", type=str, required=False)
 list_line_run_parser.add_argument("run", type=str, required=False)
 list_line_run_parser.add_argument("experiment", type=str, required=False)
+list_line_run_parser.add_argument("trace_ids", type=str, required=False)
 
 
 # use @dataclass for strong type
 @dataclass
 class ListLineRunParser:
-    session_id: typing.Optional[str] = None
+    collection: typing.Optional[str] = None
     runs: typing.Optional[typing.List[str]] = None
     experiments: typing.Optional[typing.List[str]] = None
+    trace_ids: typing.Optional[typing.List[str]] = None
 
     @staticmethod
     def _parse_string_list(value: typing.Optional[str]) -> typing.Optional[typing.List[str]]:
@@ -38,9 +42,10 @@ def _parse_string_list(value: typing.Optional[str]) -> typing.Optional[typing.Li
     def from_request() -> "ListLineRunParser":
         args = list_line_run_parser.parse_args()
         return ListLineRunParser(
-            session_id=args.session,
+            collection=args.collection or args.session,
             runs=ListLineRunParser._parse_string_list(args.run),
             experiments=ListLineRunParser._parse_string_list(args.experiment),
+            trace_ids=ListLineRunParser._parse_string_list(args.trace_ids),
         )
 
 
@@ -79,15 +84,12 @@ class LineRuns(Resource):
     @api.marshal_list_with(line_run_model)
     @api.response(code=200, description="Line runs")
     def get(self):
-        from promptflow import PFClient
-
         client: PFClient = get_client_from_request()
         args = ListLineRunParser.from_request()
-        line_runs: typing.List[LineRun] = client._traces.list_line_runs(
-            session_id=args.session_id,
+        line_runs: typing.List[LineRunEntity] = client.traces.list_line_runs(
+            collection=args.collection,
             runs=args.runs,
             experiments=args.experiments,
+            trace_ids=args.trace_ids,
         )
-        # order by start_time desc
-        line_runs.sort(key=lambda x: x.start_time, reverse=True)
-        return [asdict(line_run) for line_run in line_runs]
+        return [line_run._to_rest_object() for line_run in line_runs]
diff --git a/src/promptflow/promptflow/_sdk/_service/apis/run.py b/src/promptflow-devkit/promptflow/_sdk/_service/apis/run.py
similarity index 100%
rename from src/promptflow/promptflow/_sdk/_service/apis/run.py
rename to src/promptflow-devkit/promptflow/_sdk/_service/apis/run.py
diff --git a/src/promptflow/promptflow/_sdk/_service/apis/span.py b/src/promptflow-devkit/promptflow/_sdk/_service/apis/span.py
similarity index 82%
rename from src/promptflow/promptflow/_sdk/_service/apis/span.py
rename to src/promptflow-devkit/promptflow/_sdk/_service/apis/span.py
index deda79024b1..353138c4269 100644
--- a/src/promptflow/promptflow/_sdk/_service/apis/span.py
+++ b/src/promptflow-devkit/promptflow/_sdk/_service/apis/span.py
@@ -18,27 +18,28 @@
 from promptflow._sdk._constants import PFS_MODEL_DATETIME_FORMAT
 from promptflow._sdk._service import Namespace, Resource
 from promptflow._sdk._service.utils.utils import get_client_from_request
+from promptflow.client import PFClient
 
 api = Namespace("Spans", description="Spans Management")
 
 # parsers for query parameters
 list_span_parser = api.parser()
-list_span_parser.add_argument("session", type=str, required=False)
 list_span_parser.add_argument("trace_ids", type=str, required=False)
+list_span_parser.add_argument("lazy_load", type=str, required=False)
 
 
 # use @dataclass for strong type
 @dataclass
 class ListSpanParser:
-    session_id: typing.Optional[str] = None
-    trace_ids: typing.Optional[typing.List[str]] = None
+    trace_ids: typing.List[str]
+    lazy_load: bool
 
     @staticmethod
     def from_request() -> "ListSpanParser":
         args = list_span_parser.parse_args()
         return ListSpanParser(
-            session_id=args.session,
             trace_ids=args.trace_ids.split(",") if args.trace_ids is not None else args.trace_ids,
+            lazy_load=False if str(args.lazy_load).lower() == "false" else True,
         )
 
 
@@ -96,6 +97,7 @@ def from_request() -> "ListSpanParser":
         SpanFieldName.EVENTS: fields.List(fields.Nested(event_model)),
         SpanFieldName.LINKS: fields.List(fields.Nested(link_model)),
         SpanFieldName.RESOURCE: fields.Nested(resource_model, required=True, skip_none=True),
+        SpanFieldName.EXTERNAL_EVENT_DATA_URIS: fields.List(fields.String),
     },
 )
 
@@ -106,12 +108,19 @@ class Spans(Resource):
     @api.marshal_list_with(span_model)
     @api.response(code=200, description="Spans")
     def get(self):
-        from promptflow import PFClient
-
         client: PFClient = get_client_from_request()
         args = ListSpanParser.from_request()
-        spans = client._traces.list_spans(
-            session_id=args.session_id,
+        spans = client.traces.list_spans(
             trace_ids=args.trace_ids,
+            lazy_load=args.lazy_load,
         )
-        return [span._content for span in spans]
+        return [span._to_rest_object() for span in spans]
+
+
+@api.route("/Event/<string:event_id>")
+class Event(Resource):
+    @api.doc(description="Get span event with event id")
+    @api.response(code=200, description="Event")
+    def get(self, event_id: str):
+        client: PFClient = get_client_from_request()
+        return client.traces.get_event(event_id=event_id)
diff --git a/src/promptflow/promptflow/_sdk/_service/apis/telemetry.py b/src/promptflow-devkit/promptflow/_sdk/_service/apis/telemetry.py
similarity index 100%
rename from src/promptflow/promptflow/_sdk/_service/apis/telemetry.py
rename to src/promptflow-devkit/promptflow/_sdk/_service/apis/telemetry.py
diff --git a/src/promptflow-devkit/promptflow/_sdk/_service/apis/ui.py b/src/promptflow-devkit/promptflow/_sdk/_service/apis/ui.py
new file mode 100644
index 00000000000..075f9dc749a
--- /dev/null
+++ b/src/promptflow-devkit/promptflow/_sdk/_service/apis/ui.py
@@ -0,0 +1,101 @@
+# ---------------------------------------------------------
+# Copyright (c) Microsoft Corporation. All rights reserved.
+# ---------------------------------------------------------
+import base64
+import hashlib
+import os
+from pathlib import Path
+
+from flask import Response, current_app, render_template, send_from_directory, url_for
+from flask_restx import reqparse
+from werkzeug.utils import safe_join
+
+from promptflow._sdk._constants import PROMPT_FLOW_DIR_NAME
+from promptflow._sdk._service import Namespace, Resource, fields
+from promptflow._sdk._service.utils.utils import decrypt_flow_path
+from promptflow.exceptions import UserErrorException
+
+api = Namespace("ui", description="UI")
+
+
+media_save_model = api.model(
+    "MediaSave",
+    {
+        "base64_data": fields.String(required=True, description="Image base64 encoded data."),
+        "extension": fields.String(required=True, description="Image file extension."),
+    },
+)
+
+flow_path_parser = reqparse.RequestParser()
+flow_path_parser.add_argument("flow", type=str, required=True, location="args", help="Path to flow directory.")
+
+image_path_parser = reqparse.RequestParser()
+image_path_parser.add_argument("image_path", type=str, required=True, location="args", help="Path of image.")
+
+
+@api.route("/chat")
+class ChatUI(Resource):
+    def get(self):
+        return Response(
+            render_template("chat_index.html", url_for=url_for),
+            mimetype="text/html",
+        )
+
+
+def save_image(directory, base64_data, extension):
+    image_data = base64.b64decode(base64_data)
+    hash_object = hashlib.sha256(image_data)
+    filename = hash_object.hexdigest()
+    file_path = Path(directory) / f"{filename}.{extension}"
+    with open(file_path, "wb") as f:
+        f.write(image_data)
+    return file_path
+
+
+@api.route("/media_save")
+class MediaSave(Resource):
+    @api.response(code=200, description="Save image", model=fields.String)
+    @api.doc(description="Save image")
+    @api.expect(media_save_model)
+    def post(self):
+        args = flow_path_parser.parse_args()
+        flow = args.flow
+        flow = decrypt_flow_path(flow)
+        base64_data = api.payload["base64_data"]
+        extension = api.payload["extension"]
+        safe_path = safe_join(flow, PROMPT_FLOW_DIR_NAME)
+        if safe_path is None:
+            message = f"The untrusted path {PROMPT_FLOW_DIR_NAME} relative to the base directory {flow} detected!"
+            raise UserErrorException(message)
+        file_path = save_image(safe_path, base64_data, extension)
+        path = Path(file_path).relative_to(flow)
+        return str(path)
+
+
+@api.route("/media")
+class MediaView(Resource):
+    @api.response(code=200, description="Get image url", model=fields.String)
+    @api.doc(description="Get image url")
+    def get(self):
+        args = flow_path_parser.parse_args()
+        flow = args.flow
+        flow = decrypt_flow_path(flow)
+
+        args = image_path_parser.parse_args()
+        image_path = args.image_path
+        safe_path = safe_join(flow, image_path)
+        if safe_path is None:
+            message = f"The untrusted path {image_path} relative to the base directory {flow} detected!"
+            raise UserErrorException(message)
+        safe_path = Path(safe_path).resolve().as_posix()
+        if not os.path.exists(safe_path):
+            raise UserErrorException("The image doesn't exist")
+
+        directory, filename = os.path.split(safe_path)
+        return send_from_directory(directory, filename)
+
+
+def serve_trace_ui(path):
+    if path != "" and os.path.exists(os.path.join(current_app.static_folder, path)):
+        return send_from_directory(current_app.static_folder, path)
+    return send_from_directory(current_app.static_folder, "index.html")
diff --git a/src/promptflow/promptflow/_sdk/_service/app.py b/src/promptflow-devkit/promptflow/_sdk/_service/app.py
similarity index 58%
rename from src/promptflow/promptflow/_sdk/_service/app.py
rename to src/promptflow-devkit/promptflow/_sdk/_service/app.py
index f2f2484efa7..efa65a6da6f 100644
--- a/src/promptflow/promptflow/_sdk/_service/app.py
+++ b/src/promptflow-devkit/promptflow/_sdk/_service/app.py
@@ -2,7 +2,7 @@
 # Copyright (c) Microsoft Corporation. All rights reserved.
 # ---------------------------------------------------------
 import logging
-import sys
+import threading
 import time
 from datetime import datetime, timedelta
 from logging.handlers import RotatingFileHandler
@@ -16,19 +16,24 @@
     PF_SERVICE_HOUR_TIMEOUT,
     PF_SERVICE_LOG_FILE,
     PF_SERVICE_MONITOR_SECOND,
+    CreatedByFieldName,
 )
 from promptflow._sdk._service import Api
 from promptflow._sdk._service.apis.collector import trace_collector
 from promptflow._sdk._service.apis.connection import api as connection_api
+from promptflow._sdk._service.apis.experiment import api as experiment_api
+from promptflow._sdk._service.apis.flow import api as flow_api
 from promptflow._sdk._service.apis.line_run import api as line_run_api
 from promptflow._sdk._service.apis.run import api as run_api
 from promptflow._sdk._service.apis.span import api as span_api
 from promptflow._sdk._service.apis.telemetry import api as telemetry_api
 from promptflow._sdk._service.apis.ui import api as ui_api
+from promptflow._sdk._service.apis.ui import serve_trace_ui
 from promptflow._sdk._service.utils.utils import (
     FormattedException,
     get_current_env_pfs_file,
     get_port_from_config,
+    is_run_from_built_binary,
     kill_exist_service,
 )
 from promptflow._sdk._utils import get_promptflow_sdk_version, overwrite_null_std_logger, read_write_by_user
@@ -42,9 +47,6 @@ def heartbeat():
     return jsonify(response)
 
 
-CREATED_BY_FOR_LOCAL_TO_CLOUD_TRACE = {}
-
-
 def create_app():
     app = Flask(__name__)
 
@@ -54,9 +56,13 @@ def create_app():
     CORS(app)
 
     app.add_url_rule("/heartbeat", view_func=heartbeat)
-    app.add_url_rule("/v1/traces", view_func=trace_collector, methods=["POST"])
+    app.add_url_rule(
+        "/v1/traces", view_func=lambda: trace_collector(get_created_by_info_with_cache, app.logger), methods=["POST"]
+    )
+    app.add_url_rule("/v1.0/ui/traces/", defaults={"path": ""}, view_func=serve_trace_ui, methods=["GET"])
+    app.add_url_rule("/v1.0/ui/traces/<path:path>", view_func=serve_trace_ui, methods=["GET"])
     with app.app_context():
-        api_v1 = Blueprint("Prompt Flow Service", __name__, url_prefix="/v1.0")
+        api_v1 = Blueprint("Prompt Flow Service", __name__, url_prefix="/v1.0", template_folder="static")
 
         # Registers resources from namespace for current instance of api
         api = Api(api_v1, title="Prompt Flow Service", version="1.0")
@@ -66,6 +72,8 @@ def create_app():
         api.add_namespace(span_api)
         api.add_namespace(line_run_api)
         api.add_namespace(ui_api)
+        api.add_namespace(flow_api)
+        api.add_namespace(experiment_api)
         app.register_blueprint(api_v1)
 
         # Disable flask-restx set X-Fields in header. https://flask-restx.readthedocs.io/en/latest/mask.html#usage
@@ -74,7 +82,7 @@ def create_app():
         # Enable log
         app.logger.setLevel(logging.INFO)
         # each env will have its own log file
-        if sys.executable.endswith("pfcli.exe"):
+        if is_run_from_built_binary():
             log_file = HOME_PROMPT_FLOW_DIR / PF_SERVICE_LOG_FILE
             log_file.touch(mode=read_write_by_user(), exist_ok=True)
         else:
@@ -86,33 +94,6 @@ def create_app():
         # Set app logger to the only one RotatingFileHandler to avoid duplicate logs
         app.logger.handlers = [handler]
 
-        def initialize_created_by_info():
-            from promptflow._sdk._configuration import Configuration
-            from promptflow._sdk._utils import extract_workspace_triad_from_trace_provider
-
-            trace_provider = Configuration.get_instance().get_trace_provider()
-            if trace_provider is None or extract_workspace_triad_from_trace_provider(trace_provider) is None:
-                return
-            try:
-                import jwt
-                from azure.identity import DefaultAzureCredential
-
-                from promptflow.azure._utils.general import get_arm_token
-
-                default_credential = DefaultAzureCredential()
-
-                token = get_arm_token(credential=default_credential)
-                decoded_token = jwt.decode(token, options={"verify_signature": False})
-                user_object_id, user_tenant_id = decoded_token["oid"], decoded_token["tid"]
-                CREATED_BY_FOR_LOCAL_TO_CLOUD_TRACE.update(
-                    {
-                        "object_id": user_object_id,
-                        "tenant_id": user_tenant_id,
-                    }
-                )
-            except Exception as e:
-                current_app.logger.error(f"Failed to get created_by info, ignore it: {e}")
-
         # Basic error handler
         @api.errorhandler(Exception)
         def handle_exception(e):
@@ -137,9 +118,9 @@ def log_before_request_info():
             else:
                 request_body = request.get_data()
 
+            app.logger.info("Request coming in: %s", request.url)
             app.logger.debug(
-                "Last request time: %s, Headers: %s, Body: %s",
-                app.config["last_request_time"],
+                "Headers: %s, Body: %s",
                 request.headers,
                 request_body,
             )
@@ -155,20 +136,63 @@ def log_after_request_info(response):
         # Start a monitor process using detach mode. It will stop pfs service if no request to pfs service in 1h in
         # python scenario. For C# scenario, pfs will live until the process is killed manually.
         def monitor_request():
-            while True:
-                time.sleep(PF_SERVICE_MONITOR_SECOND)
-                if "last_request_time" in app.config and datetime.now() - app.config["last_request_time"] > timedelta(
-                    hours=PF_SERVICE_HOUR_TIMEOUT
-                ):
-                    # Todo: check if we have any not complete work? like persist all traces.
-                    port = get_port_from_config()
-                    if port:
-                        app.logger.info(f"Try auto stop pfs service in port {port} since no request to app within 1h")
-                        kill_exist_service(port)
-                    break
-
-        initialize_created_by_info()
-        if not sys.executable.endswith("pfcli.exe"):
+            with app.app_context():
+                while True:
+                    time.sleep(PF_SERVICE_MONITOR_SECOND)
+                    if "last_request_time" in app.config and datetime.now() - app.config[
+                        "last_request_time"
+                    ] > timedelta(hours=PF_SERVICE_HOUR_TIMEOUT):
+                        # Todo: check if we have any not complete work? like persist all traces.
+                        app.logger.warning(
+                            f"Last http request time: {app.config['last_request_time']} was made "
+                            f"{PF_SERVICE_HOUR_TIMEOUT}h ago"
+                        )
+                        port = get_port_from_config()
+                        if port:
+                            app.logger.info(
+                                f"Try auto stop promptflow service in port {port} since no request to app within "
+                                f"{PF_SERVICE_HOUR_TIMEOUT}h"
+                            )
+                            kill_exist_service(port)
+                        break
+
+        if not is_run_from_built_binary():
             monitor_thread = ThreadWithContextVars(target=monitor_request, daemon=True)
             monitor_thread.start()
     return app, api
+
+
+created_by_for_local_to_cloud_trace = {}
+created_by_for_local_to_cloud_trace_lock = threading.Lock()
+
+
+def get_created_by_info_with_cache():
+    if len(created_by_for_local_to_cloud_trace) > 0:
+        return created_by_for_local_to_cloud_trace
+    with created_by_for_local_to_cloud_trace_lock:
+        if len(created_by_for_local_to_cloud_trace) > 0:
+            return created_by_for_local_to_cloud_trace
+        try:
+            # The total time of collecting info is about 3s.
+            import jwt
+            from azure.identity import DefaultAzureCredential
+
+            from promptflow.azure._utils.general import get_arm_token
+
+            default_credential = DefaultAzureCredential()
+
+            token = get_arm_token(credential=default_credential)
+            decoded_token = jwt.decode(token, options={"verify_signature": False})
+            created_by_for_local_to_cloud_trace.update(
+                {
+                    CreatedByFieldName.OBJECT_ID: decoded_token["oid"],
+                    CreatedByFieldName.TENANT_ID: decoded_token["tid"],
+                    # Use appid as fallback for service principal scenario.
+                    CreatedByFieldName.NAME: decoded_token.get("name", decoded_token.get("appid", "")),
+                }
+            )
+        except Exception as e:
+            # This function is only target to be used in Flask app.
+            current_app.logger.error(f"Failed to get created_by info, stop writing span. Exception: {e}")
+            raise e  # Created_by info is critical for local trace, so we should stop writing span if failed to get it.
+    return created_by_for_local_to_cloud_trace
diff --git a/src/promptflow/promptflow/_sdk/_service/generator_configs/csharp.yaml b/src/promptflow-devkit/promptflow/_sdk/_service/generator_configs/csharp.yaml
similarity index 100%
rename from src/promptflow/promptflow/_sdk/_service/generator_configs/csharp.yaml
rename to src/promptflow-devkit/promptflow/_sdk/_service/generator_configs/csharp.yaml
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new file mode 100644
index 00000000000..301152ac3b7
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+++ b/src/promptflow-devkit/promptflow/_sdk/_service/static/assets/icon-IVYk8x5p.svg
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+<path d="M23.4515 14.5L29.944 17.996" stroke="#39374A" stroke-width="2"/>
+</svg>
diff --git a/src/promptflow-devkit/promptflow/_sdk/_service/static/assets/icon_for_dark-3C8HbOu4.svg b/src/promptflow-devkit/promptflow/_sdk/_service/static/assets/icon_for_dark-3C8HbOu4.svg
new file mode 100644
index 00000000000..8bb74184d75
--- /dev/null
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@@ -0,0 +1,4 @@
+<svg width="50" height="50" viewBox="0 0 50 50" fill="none" xmlns="http://www.w3.org/2000/svg">
+<path d="M40.9868 11.3922L29.1046 18.5009C27.8341 19.2609 27.0564 20.6325 27.0564 22.1129V30.9481C27.0564 32.0142 28.2219 32.6705 29.1335 32.1179L37.4394 27.0826C39.6417 25.7475 40.9868 23.3591 40.9868 20.7837V10.9483L23.8954 1.2373L14.491 6.75993C12.2385 8.08268 10.855 10.4995 10.855 13.1117V37.498C10.855 40.0972 12.2249 42.504 14.4597 43.8313L21.496 48.0101C22.4079 48.5516 23.5625 47.8944 23.5625 46.8339V1.43282" stroke="white" stroke-width="2"/>
+<path d="M23.4515 14.5L29.944 17.996" stroke="white" stroke-width="2"/>
+</svg>
diff --git a/src/promptflow-devkit/promptflow/_sdk/_service/static/assets/index-IZERNmqw.js b/src/promptflow-devkit/promptflow/_sdk/_service/static/assets/index-IZERNmqw.js
new file mode 100644
index 00000000000..0acf8cffc10
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+ * @license React
+ * react-jsx-runtime.production.min.js
+ *
+ * Copyright (c) Facebook, Inc. and its affiliates.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ */var f$8=reactExports,k$7=Symbol.for("react.element"),l$8=Symbol.for("react.fragment"),m$a=Object.prototype.hasOwnProperty,n$7=f$8.__SECRET_INTERNALS_DO_NOT_USE_OR_YOU_WILL_BE_FIRED.ReactCurrentOwner,p$a={key:!0,ref:!0,__self:!0,__source:!0};function q$4(eo,to,ro){var no,oo={},io=null,so=null;ro!==void 0&&(io=""+ro),to.key!==void 0&&(io=""+to.key),to.ref!==void 0&&(so=to.ref);for(no in to)m$a.call(to,no)&&!p$a.hasOwnProperty(no)&&(oo[no]=to[no]);if(eo&&eo.defaultProps)for(no in to=eo.defaultProps,to)oo[no]===void 0&&(oo[no]=to[no]);return{$$typeof:k$7,type:eo,key:io,ref:so,props:oo,_owner:n$7.current}}reactJsxRuntime_production_min.Fragment=l$8;reactJsxRuntime_production_min.jsx=q$4;reactJsxRuntime_production_min.jsxs=q$4;jsxRuntime$1.exports=reactJsxRuntime_production_min;var jsxRuntimeExports=jsxRuntime$1.exports;const jsxRuntime=getDefaultExportFromCjs(jsxRuntimeExports),ReactRuntime=_mergeNamespaces({__proto__:null,default:jsxRuntime},[jsxRuntimeExports]);var client={},reactDom={exports:{}},reactDom_production_min={},scheduler={exports:{}},scheduler_production_min={};/**
+ * @license React
+ * scheduler.production.min.js
+ *
+ * Copyright (c) Facebook, Inc. and its affiliates.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ */(function(eo){function to(Ho,qo){var Uo=Ho.length;Ho.push(qo);e:for(;0<Uo;){var Yo=Uo-1>>>1,Zo=Ho[Yo];if(0<oo(Zo,qo))Ho[Yo]=qo,Ho[Uo]=Zo,Uo=Yo;else break e}}function ro(Ho){return Ho.length===0?null:Ho[0]}function no(Ho){if(Ho.length===0)return null;var qo=Ho[0],Uo=Ho.pop();if(Uo!==qo){Ho[0]=Uo;e:for(var Yo=0,Zo=Ho.length,_s=Zo>>>1;Yo<_s;){var Ss=2*(Yo+1)-1,As=Ho[Ss],Ns=Ss+1,ws=Ho[Ns];if(0>oo(As,Uo))Ns<Zo&&0>oo(ws,As)?(Ho[Yo]=ws,Ho[Ns]=Uo,Yo=Ns):(Ho[Yo]=As,Ho[Ss]=Uo,Yo=Ss);else if(Ns<Zo&&0>oo(ws,Uo))Ho[Yo]=ws,Ho[Ns]=Uo,Yo=Ns;else break e}}return qo}function oo(Ho,qo){var Uo=Ho.sortIndex-qo.sortIndex;return Uo!==0?Uo:Ho.id-qo.id}if(typeof performance=="object"&&typeof performance.now=="function"){var io=performance;eo.unstable_now=function(){return io.now()}}else{var so=Date,ao=so.now();eo.unstable_now=function(){return so.now()-ao}}var lo=[],uo=[],co=1,fo=null,ho=3,po=!1,go=!1,vo=!1,bo=typeof setTimeout=="function"?setTimeout:null,xo=typeof clearTimeout=="function"?clearTimeout:null,_o=typeof setImmediate<"u"?setImmediate:null;typeof navigator<"u"&&navigator.scheduling!==void 0&&navigator.scheduling.isInputPending!==void 0&&navigator.scheduling.isInputPending.bind(navigator.scheduling);function Eo(Ho){for(var qo=ro(uo);qo!==null;){if(qo.callback===null)no(uo);else if(qo.startTime<=Ho)no(uo),qo.sortIndex=qo.expirationTime,to(lo,qo);else break;qo=ro(uo)}}function So(Ho){if(vo=!1,Eo(Ho),!go)if(ro(lo)!==null)go=!0,$o(To);else{var qo=ro(uo);qo!==null&&Lo(So,qo.startTime-Ho)}}function To(Ho,qo){go=!1,vo&&(vo=!1,xo(Oo),Oo=-1),po=!0;var Uo=ho;try{for(Eo(qo),fo=ro(lo);fo!==null&&(!(fo.expirationTime>qo)||Ho&&!No());){var Yo=fo.callback;if(typeof Yo=="function"){fo.callback=null,ho=fo.priorityLevel;var Zo=Yo(fo.expirationTime<=qo);qo=eo.unstable_now(),typeof Zo=="function"?fo.callback=Zo:fo===ro(lo)&&no(lo),Eo(qo)}else no(lo);fo=ro(lo)}if(fo!==null)var _s=!0;else{var Ss=ro(uo);Ss!==null&&Lo(So,Ss.startTime-qo),_s=!1}return _s}finally{fo=null,ho=Uo,po=!1}}var wo=!1,Co=null,Oo=-1,Ao=5,Ro=-1;function No(){return!(eo.unstable_now()-Ro<Ao)}function Mo(){if(Co!==null){var Ho=eo.unstable_now();Ro=Ho;var qo=!0;try{qo=Co(!0,Ho)}finally{qo?Do():(wo=!1,Co=null)}}else wo=!1}var Do;if(typeof _o=="function")Do=function(){_o(Mo)};else if(typeof MessageChannel<"u"){var jo=new MessageChannel,Fo=jo.port2;jo.port1.onmessage=Mo,Do=function(){Fo.postMessage(null)}}else Do=function(){bo(Mo,0)};function $o(Ho){Co=Ho,wo||(wo=!0,Do())}function Lo(Ho,qo){Oo=bo(function(){Ho(eo.unstable_now())},qo)}eo.unstable_IdlePriority=5,eo.unstable_ImmediatePriority=1,eo.unstable_LowPriority=4,eo.unstable_NormalPriority=3,eo.unstable_Profiling=null,eo.unstable_UserBlockingPriority=2,eo.unstable_cancelCallback=function(Ho){Ho.callback=null},eo.unstable_continueExecution=function(){go||po||(go=!0,$o(To))},eo.unstable_forceFrameRate=function(Ho){0>Ho||125<Ho?console.error("forceFrameRate takes a positive int between 0 and 125, forcing frame rates higher than 125 fps is not supported"):Ao=0<Ho?Math.floor(1e3/Ho):5},eo.unstable_getCurrentPriorityLevel=function(){return ho},eo.unstable_getFirstCallbackNode=function(){return ro(lo)},eo.unstable_next=function(Ho){switch(ho){case 1:case 2:case 3:var qo=3;break;default:qo=ho}var Uo=ho;ho=qo;try{return Ho()}finally{ho=Uo}},eo.unstable_pauseExecution=function(){},eo.unstable_requestPaint=function(){},eo.unstable_runWithPriority=function(Ho,qo){switch(Ho){case 1:case 2:case 3:case 4:case 5:break;default:Ho=3}var Uo=ho;ho=Ho;try{return qo()}finally{ho=Uo}},eo.unstable_scheduleCallback=function(Ho,qo,Uo){var Yo=eo.unstable_now();switch(typeof Uo=="object"&&Uo!==null?(Uo=Uo.delay,Uo=typeof Uo=="number"&&0<Uo?Yo+Uo:Yo):Uo=Yo,Ho){case 1:var Zo=-1;break;case 2:Zo=250;break;case 5:Zo=1073741823;break;case 4:Zo=1e4;break;default:Zo=5e3}return Zo=Uo+Zo,Ho={id:co++,callback:qo,priorityLevel:Ho,startTime:Uo,expirationTime:Zo,sortIndex:-1},Uo>Yo?(Ho.sortIndex=Uo,to(uo,Ho),ro(lo)===null&&Ho===ro(uo)&&(vo?(xo(Oo),Oo=-1):vo=!0,Lo(So,Uo-Yo))):(Ho.sortIndex=Zo,to(lo,Ho),go||po||(go=!0,$o(To))),Ho},eo.unstable_shouldYield=No,eo.unstable_wrapCallback=function(Ho){var qo=ho;return function(){var Uo=ho;ho=qo;try{return Ho.apply(this,arguments)}finally{ho=Uo}}}})(scheduler_production_min);scheduler.exports=scheduler_production_min;var schedulerExports=scheduler.exports;/**
+ * @license React
+ * react-dom.production.min.js
+ *
+ * Copyright (c) Facebook, Inc. and its affiliates.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ */var aa=reactExports,ca=schedulerExports;function p$9(eo){for(var to="https://reactjs.org/docs/error-decoder.html?invariant="+eo,ro=1;ro<arguments.length;ro++)to+="&args[]="+encodeURIComponent(arguments[ro]);return"Minified React error #"+eo+"; visit "+to+" for the full message or use the non-minified dev environment for full errors and additional helpful warnings."}var da=new Set,ea={};function fa(eo,to){ha(eo,to),ha(eo+"Capture",to)}function ha(eo,to){for(ea[eo]=to,eo=0;eo<to.length;eo++)da.add(to[eo])}var ia=!(typeof window>"u"||typeof window.document>"u"||typeof 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eo=io!==null?io.baseLanes|ro:ro,to.lanes=to.childLanes=1073741824,to.memoizedState={baseLanes:eo,cachePool:null,transitions:null},to.updateQueue=null,G$1(fj,gj),gj|=eo,null;to.memoizedState={baseLanes:0,cachePool:null,transitions:null},no=io!==null?io.baseLanes:ro,G$1(fj,gj),gj|=no}else io!==null?(no=io.baseLanes|ro,to.memoizedState=null):no=ro,G$1(fj,gj),gj|=no;return Yi$1(eo,to,oo,ro),to.child}function hj(eo,to){var ro=to.ref;(eo===null&&ro!==null||eo!==null&&eo.ref!==ro)&&(to.flags|=512,to.flags|=2097152)}function dj(eo,to,ro,no,oo){var io=Zf(ro)?Xf:H$3.current;return io=Yf(to,io),Tg(to,oo),ro=Xh(eo,to,ro,no,io,oo),no=bi$1(),eo!==null&&!Ug?(to.updateQueue=eo.updateQueue,to.flags&=-2053,eo.lanes&=~oo,$i$1(eo,to,oo)):(I$2&&no&&vg(to),to.flags|=1,Yi$1(eo,to,ro,oo),to.child)}function ij(eo,to,ro,no,oo){if(Zf(ro)){var io=!0;cg(to)}else io=!1;if(Tg(to,oo),to.stateNode===null)jj(eo,to),ph(to,ro,no),rh(to,ro,no,oo),no=!0;else if(eo===null){var so=to.stateNode,ao=to.memoizedProps;so.props=ao;var lo=so.context,uo=ro.contextType;typeof uo=="object"&&uo!==null?uo=Vg(uo):(uo=Zf(ro)?Xf:H$3.current,uo=Yf(to,uo));var co=ro.getDerivedStateFromProps,fo=typeof co=="function"||typeof so.getSnapshotBeforeUpdate=="function";fo||typeof so.UNSAFE_componentWillReceiveProps!="function"&&typeof so.componentWillReceiveProps!="function"||(ao!==no||lo!==uo)&&qh(to,so,no,uo),$g=!1;var ho=to.memoizedState;so.state=ho,gh(to,no,so,oo),lo=to.memoizedState,ao!==no||ho!==lo||Wf.current||$g?(typeof co=="function"&&(kh(to,ro,co,no),lo=to.memoizedState),(ao=$g||oh(to,ro,ao,no,ho,lo,uo))?(fo||typeof so.UNSAFE_componentWillMount!="function"&&typeof so.componentWillMount!="function"||(typeof so.componentWillMount=="function"&&so.componentWillMount(),typeof so.UNSAFE_componentWillMount=="function"&&so.UNSAFE_componentWillMount()),typeof so.componentDidMount=="function"&&(to.flags|=4194308)):(typeof so.componentDidMount=="function"&&(to.flags|=4194308),to.memoizedProps=no,to.memoizedState=lo),so.props=no,so.state=lo,so.context=uo,no=ao):(typeof so.componentDidMount=="function"&&(to.flags|=4194308),no=!1)}else{so=to.stateNode,bh(eo,to),ao=to.memoizedProps,uo=to.type===to.elementType?ao:Lg(to.type,ao),so.props=uo,fo=to.pendingProps,ho=so.context,lo=ro.contextType,typeof lo=="object"&&lo!==null?lo=Vg(lo):(lo=Zf(ro)?Xf:H$3.current,lo=Yf(to,lo));var po=ro.getDerivedStateFromProps;(co=typeof po=="function"||typeof so.getSnapshotBeforeUpdate=="function")||typeof so.UNSAFE_componentWillReceiveProps!="function"&&typeof so.componentWillReceiveProps!="function"||(ao!==fo||ho!==lo)&&qh(to,so,no,lo),$g=!1,ho=to.memoizedState,so.state=ho,gh(to,no,so,oo);var go=to.memoizedState;ao!==fo||ho!==go||Wf.current||$g?(typeof po=="function"&&(kh(to,ro,po,no),go=to.memoizedState),(uo=$g||oh(to,ro,uo,no,ho,go,lo)||!1)?(co||typeof so.UNSAFE_componentWillUpdate!="function"&&typeof so.componentWillUpdate!="function"||(typeof so.componentWillUpdate=="function"&&so.componentWillUpdate(no,go,lo),typeof so.UNSAFE_componentWillUpdate=="function"&&so.UNSAFE_componentWillUpdate(no,go,lo)),typeof so.componentDidUpdate=="function"&&(to.flags|=4),typeof so.getSnapshotBeforeUpdate=="function"&&(to.flags|=1024)):(typeof so.componentDidUpdate!="function"||ao===eo.memoizedProps&&ho===eo.memoizedState||(to.flags|=4),typeof so.getSnapshotBeforeUpdate!="function"||ao===eo.memoizedProps&&ho===eo.memoizedState||(to.flags|=1024),to.memoizedProps=no,to.memoizedState=go),so.props=no,so.state=go,so.context=lo,no=uo):(typeof so.componentDidUpdate!="function"||ao===eo.memoizedProps&&ho===eo.memoizedState||(to.flags|=4),typeof so.getSnapshotBeforeUpdate!="function"||ao===eo.memoizedProps&&ho===eo.memoizedState||(to.flags|=1024),no=!1)}return kj(eo,to,ro,no,io,oo)}function kj(eo,to,ro,no,oo,io){hj(eo,to);var so=(to.flags&128)!==0;if(!no&&!so)return oo&&dg(to,ro,!1),$i$1(eo,to,io);no=to.stateNode,Xi$1.current=to;var ao=so&&typeof ro.getDerivedStateFromError!="function"?null:no.render();return to.flags|=1,eo!==null&&so?(to.child=Bh(to,eo.child,null,io),to.child=Bh(to,null,ao,io)):Yi$1(eo,to,ao,io),to.memoizedState=no.state,oo&&dg(to,ro,!0),to.child}function lj(eo){var to=eo.stateNode;to.pendingContext?ag(eo,to.pendingContext,to.pendingContext!==to.context):to.context&&ag(eo,to.context,!1),Ih(eo,to.containerInfo)}function mj(eo,to,ro,no,oo){return Ig(),Jg(oo),to.flags|=256,Yi$1(eo,to,ro,no),to.child}var nj={dehydrated:null,treeContext:null,retryLane:0};function oj(eo){return{baseLanes:eo,cachePool:null,transitions:null}}function pj(eo,to,ro){var no=to.pendingProps,oo=M$4.current,io=!1,so=(to.flags&128)!==0,ao;if((ao=so)||(ao=eo!==null&&eo.memoizedState===null?!1:(oo&2)!==0),ao?(io=!0,to.flags&=-129):(eo===null||eo.memoizedState!==null)&&(oo|=1),G$1(M$4,oo&1),eo===null)return Eg(to),eo=to.memoizedState,eo!==null&&(eo=eo.dehydrated,eo!==null)?(to.mode&1?eo.data==="$!"?to.lanes=8:to.lanes=1073741824:to.lanes=1,null):(so=no.children,eo=no.fallback,io?(no=to.mode,io=to.child,so={mode:"hidden",children:so},!(no&1)&&io!==null?(io.childLanes=0,io.pendingProps=so):io=qj(so,no,0,null),eo=Ah(eo,no,ro,null),io.return=to,eo.return=to,io.sibling=eo,to.child=io,to.child.memoizedState=oj(ro),to.memoizedState=nj,eo):rj(to,so));if(oo=eo.memoizedState,oo!==null&&(ao=oo.dehydrated,ao!==null))return sj(eo,to,so,no,ao,oo,ro);if(io){io=no.fallback,so=to.mode,oo=eo.child,ao=oo.sibling;var lo={mode:"hidden",children:no.children};return!(so&1)&&to.child!==oo?(no=to.child,no.childLanes=0,no.pendingProps=lo,to.deletions=null):(no=wh(oo,lo),no.subtreeFlags=oo.subtreeFlags&14680064),ao!==null?io=wh(ao,io):(io=Ah(io,so,ro,null),io.flags|=2),io.return=to,no.return=to,no.sibling=io,to.child=no,no=io,io=to.child,so=eo.child.memoizedState,so=so===null?oj(ro):{baseLanes:so.baseLanes|ro,cachePool:null,transitions:so.transitions},io.memoizedState=so,io.childLanes=eo.childLanes&~ro,to.memoizedState=nj,no}return io=eo.child,eo=io.sibling,no=wh(io,{mode:"visible",children:no.children}),!(to.mode&1)&&(no.lanes=ro),no.return=to,no.sibling=null,eo!==null&&(ro=to.deletions,ro===null?(to.deletions=[eo],to.flags|=16):ro.push(eo)),to.child=no,to.memoizedState=null,no}function rj(eo,to){return to=qj({mode:"visible",children:to},eo.mode,0,null),to.return=eo,eo.child=to}function tj(eo,to,ro,no){return no!==null&&Jg(no),Bh(to,eo.child,null,ro),eo=rj(to,to.pendingProps.children),eo.flags|=2,to.memoizedState=null,eo}function sj(eo,to,ro,no,oo,io,so){if(ro)return to.flags&256?(to.flags&=-257,no=Li$1(Error(p$9(422))),tj(eo,to,so,no)):to.memoizedState!==null?(to.child=eo.child,to.flags|=128,null):(io=no.fallback,oo=to.mode,no=qj({mode:"visible",children:no.children},oo,0,null),io=Ah(io,oo,so,null),io.flags|=2,no.return=to,io.return=to,no.sibling=io,to.child=no,to.mode&1&&Bh(to,eo.child,null,so),to.child.memoizedState=oj(so),to.memoizedState=nj,io);if(!(to.mode&1))return tj(eo,to,so,null);if(oo.data==="$!"){if(no=oo.nextSibling&&oo.nextSibling.dataset,no)var ao=no.dgst;return no=ao,io=Error(p$9(419)),no=Li$1(io,no,void 0),tj(eo,to,so,no)}if(ao=(so&eo.childLanes)!==0,Ug||ao){if(no=R$3,no!==null){switch(so&-so){case 4:oo=2;break;case 16:oo=8;break;case 64:case 128:case 256:case 512:case 1024:case 2048:case 4096:case 8192:case 16384:case 32768:case 65536:case 131072:case 262144:case 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no=to.pendingProps,oo=no.revealOrder,io=no.tail;if(Yi$1(eo,to,no.children,ro),no=M$4.current,no&2)no=no&1|2,to.flags|=128;else{if(eo!==null&&eo.flags&128)e:for(eo=to.child;eo!==null;){if(eo.tag===13)eo.memoizedState!==null&&wj(eo,ro,to);else if(eo.tag===19)wj(eo,ro,to);else if(eo.child!==null){eo.child.return=eo,eo=eo.child;continue}if(eo===to)break e;for(;eo.sibling===null;){if(eo.return===null||eo.return===to)break e;eo=eo.return}eo.sibling.return=eo.return,eo=eo.sibling}no&=1}if(G$1(M$4,no),!(to.mode&1))to.memoizedState=null;else switch(oo){case"forwards":for(ro=to.child,oo=null;ro!==null;)eo=ro.alternate,eo!==null&&Mh(eo)===null&&(oo=ro),ro=ro.sibling;ro=oo,ro===null?(oo=to.child,to.child=null):(oo=ro.sibling,ro.sibling=null),xj(to,!1,oo,ro,io);break;case"backwards":for(ro=null,oo=to.child,to.child=null;oo!==null;){if(eo=oo.alternate,eo!==null&&Mh(eo)===null){to.child=oo;break}eo=oo.sibling,oo.sibling=ro,ro=oo,oo=eo}xj(to,!0,ro,null,io);break;case"together":xj(to,!1,null,null,void 0);break;default:to.memoizedState=null}return to.child}function jj(eo,to){!(to.mode&1)&&eo!==null&&(eo.alternate=null,to.alternate=null,to.flags|=2)}function $i$1(eo,to,ro){if(eo!==null&&(to.dependencies=eo.dependencies),hh|=to.lanes,!(ro&to.childLanes))return null;if(eo!==null&&to.child!==eo.child)throw Error(p$9(153));if(to.child!==null){for(eo=to.child,ro=wh(eo,eo.pendingProps),to.child=ro,ro.return=to;eo.sibling!==null;)eo=eo.sibling,ro=ro.sibling=wh(eo,eo.pendingProps),ro.return=to;ro.sibling=null}return to.child}function zj(eo,to,ro){switch(to.tag){case 3:lj(to),Ig();break;case 5:Kh(to);break;case 1:Zf(to.type)&&cg(to);break;case 4:Ih(to,to.stateNode.containerInfo);break;case 10:var no=to.type._context,oo=to.memoizedProps.value;G$1(Mg,no._currentValue),no._currentValue=oo;break;case 13:if(no=to.memoizedState,no!==null)return no.dehydrated!==null?(G$1(M$4,M$4.current&1),to.flags|=128,null):ro&to.child.childLanes?pj(eo,to,ro):(G$1(M$4,M$4.current&1),eo=$i$1(eo,to,ro),eo!==null?eo.sibling:null);G$1(M$4,M$4.current&1);break;case 19:if(no=(ro&to.childLanes)!==0,eo.flags&128){if(no)return yj(eo,to,ro);to.flags|=128}if(oo=to.memoizedState,oo!==null&&(oo.rendering=null,oo.tail=null,oo.lastEffect=null),G$1(M$4,M$4.current),no)break;return null;case 22:case 23:return to.lanes=0,ej(eo,to,ro)}return $i$1(eo,to,ro)}var Aj,Bj,Cj,Dj;Aj=function(eo,to){for(var ro=to.child;ro!==null;){if(ro.tag===5||ro.tag===6)eo.appendChild(ro.stateNode);else if(ro.tag!==4&&ro.child!==null){ro.child.return=ro,ro=ro.child;continue}if(ro===to)break;for(;ro.sibling===null;){if(ro.return===null||ro.return===to)return;ro=ro.return}ro.sibling.return=ro.return,ro=ro.sibling}};Bj=function(){};Cj=function(eo,to,ro,no){var oo=eo.memoizedProps;if(oo!==no){eo=to.stateNode,Hh(Eh.current);var io=null;switch(ro){case"input":oo=Ya(eo,oo),no=Ya(eo,no),io=[];break;case"select":oo=A$6({},oo,{value:void 0}),no=A$6({},no,{value:void 0}),io=[];break;case"textarea":oo=gb(eo,oo),no=gb(eo,no),io=[];break;default:typeof oo.onClick!="function"&&typeof no.onClick=="function"&&(eo.onclick=Bf)}ub(ro,no);var so;ro=null;for(uo in oo)if(!no.hasOwnProperty(uo)&&oo.hasOwnProperty(uo)&&oo[uo]!=null)if(uo==="style"){var ao=oo[uo];for(so in ao)ao.hasOwnProperty(so)&&(ro||(ro={}),ro[so]="")}else uo!=="dangerouslySetInnerHTML"&&uo!=="children"&&uo!=="suppressContentEditableWarning"&&uo!=="suppressHydrationWarning"&&uo!=="autoFocus"&&(ea.hasOwnProperty(uo)?io||(io=[]):(io=io||[]).push(uo,null));for(uo in no){var lo=no[uo];if(ao=oo!=null?oo[uo]:void 0,no.hasOwnProperty(uo)&&lo!==ao&&(lo!=null||ao!=null))if(uo==="style")if(ao){for(so in ao)!ao.hasOwnProperty(so)||lo&&lo.hasOwnProperty(so)||(ro||(ro={}),ro[so]="");for(so in lo)lo.hasOwnProperty(so)&&ao[so]!==lo[so]&&(ro||(ro={}),ro[so]=lo[so])}else ro||(io||(io=[]),io.push(uo,ro)),ro=lo;else uo==="dangerouslySetInnerHTML"?(lo=lo?lo.__html:void 0,ao=ao?ao.__html:void 0,lo!=null&&ao!==lo&&(io=io||[]).push(uo,lo)):uo==="children"?typeof lo!="string"&&typeof lo!="number"||(io=io||[]).push(uo,""+lo):uo!=="suppressContentEditableWarning"&&uo!=="suppressHydrationWarning"&&(ea.hasOwnProperty(uo)?(lo!=null&&uo==="onScroll"&&D$4("scroll",eo),io||ao===lo||(io=[])):(io=io||[]).push(uo,lo))}ro&&(io=io||[]).push("style",ro);var uo=io;(to.updateQueue=uo)&&(to.flags|=4)}};Dj=function(eo,to,ro,no){ro!==no&&(to.flags|=4)};function Ej(eo,to){if(!I$2)switch(eo.tailMode){case"hidden":to=eo.tail;for(var ro=null;to!==null;)to.alternate!==null&&(ro=to),to=to.sibling;ro===null?eo.tail=null:ro.sibling=null;break;case"collapsed":ro=eo.tail;for(var no=null;ro!==null;)ro.alternate!==null&&(no=ro),ro=ro.sibling;no===null?to||eo.tail===null?eo.tail=null:eo.tail.sibling=null:no.sibling=null}}function S$5(eo){var to=eo.alternate!==null&&eo.alternate.child===eo.child,ro=0,no=0;if(to)for(var oo=eo.child;oo!==null;)ro|=oo.lanes|oo.childLanes,no|=oo.subtreeFlags&14680064,no|=oo.flags&14680064,oo.return=eo,oo=oo.sibling;else for(oo=eo.child;oo!==null;)ro|=oo.lanes|oo.childLanes,no|=oo.subtreeFlags,no|=oo.flags,oo.return=eo,oo=oo.sibling;return eo.subtreeFlags|=no,eo.childLanes=ro,to}function Fj(eo,to,ro){var no=to.pendingProps;switch(wg(to),to.tag){case 2:case 16:case 15:case 0:case 11:case 7:case 8:case 12:case 9:case 14:return S$5(to),null;case 1:return Zf(to.type)&&$f(),S$5(to),null;case 3:return no=to.stateNode,Jh(),E$5(Wf),E$5(H$3),Oh(),no.pendingContext&&(no.context=no.pendingContext,no.pendingContext=null),(eo===null||eo.child===null)&&(Gg(to)?to.flags|=4:eo===null||eo.memoizedState.isDehydrated&&!(to.flags&256)||(to.flags|=1024,zg!==null&&(Gj(zg),zg=null))),Bj(eo,to),S$5(to),null;case 5:Lh(to);var oo=Hh(Gh.current);if(ro=to.type,eo!==null&&to.stateNode!=null)Cj(eo,to,ro,no,oo),eo.ref!==to.ref&&(to.flags|=512,to.flags|=2097152);else{if(!no){if(to.stateNode===null)throw Error(p$9(166));return S$5(to),null}if(eo=Hh(Eh.current),Gg(to)){no=to.stateNode,ro=to.type;var io=to.memoizedProps;switch(no[Of]=to,no[Pf]=io,eo=(to.mode&1)!==0,ro){case"dialog":D$4("cancel",no),D$4("close",no);break;case"iframe":case"object":case"embed":D$4("load",no);break;case"video":case"audio":for(oo=0;oo<lf.length;oo++)D$4(lf[oo],no);break;case"source":D$4("error",no);break;case"img":case"image":case"link":D$4("error",no),D$4("load",no);break;case"details":D$4("toggle",no);break;case"input":Za(no,io),D$4("invalid",no);break;case"select":no._wrapperState={wasMultiple:!!io.multiple},D$4("invalid",no);break;case"textarea":hb(no,io),D$4("invalid",no)}ub(ro,io),oo=null;for(var so in io)if(io.hasOwnProperty(so)){var ao=io[so];so==="children"?typeof 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oo=no.stateNode;no.flags&32&&(ob(oo,""),no.flags&=-33);var io=Vj(eo);Xj(eo,io,oo);break;case 3:case 4:var so=no.stateNode.containerInfo,ao=Vj(eo);Wj(eo,ao,so);break;default:throw Error(p$9(161))}}catch(lo){W$1(eo,eo.return,lo)}eo.flags&=-3}to&4096&&(eo.flags&=-4097)}function ik(eo,to,ro){V$1=eo,jk(eo)}function jk(eo,to,ro){for(var no=(eo.mode&1)!==0;V$1!==null;){var oo=V$1,io=oo.child;if(oo.tag===22&&no){var so=oo.memoizedState!==null||Kj;if(!so){var ao=oo.alternate,lo=ao!==null&&ao.memoizedState!==null||U$1;ao=Kj;var uo=U$1;if(Kj=so,(U$1=lo)&&!uo)for(V$1=oo;V$1!==null;)so=V$1,lo=so.child,so.tag===22&&so.memoizedState!==null?kk(oo):lo!==null?(lo.return=so,V$1=lo):kk(oo);for(;io!==null;)V$1=io,jk(io),io=io.sibling;V$1=oo,Kj=ao,U$1=uo}lk(eo)}else oo.subtreeFlags&8772&&io!==null?(io.return=oo,V$1=io):lk(eo)}}function lk(eo){for(;V$1!==null;){var to=V$1;if(to.flags&8772){var ro=to.alternate;try{if(to.flags&8772)switch(to.tag){case 0:case 11:case 15:U$1||Rj(5,to);break;case 1:var 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mk=Math.ceil,nk=ua.ReactCurrentDispatcher,ok=ua.ReactCurrentOwner,pk=ua.ReactCurrentBatchConfig,K$3=0,R$3=null,Y$2=null,Z$2=0,gj=0,fj=Uf(0),T$4=0,qk=null,hh=0,rk=0,sk=0,tk=null,uk=null,gk=0,Hj=1/0,vk=null,Pi$1=!1,Qi$1=null,Si$1=null,wk=!1,xk=null,yk=0,zk=0,Ak=null,Bk=-1,Ck=0;function L$3(){return K$3&6?B$3():Bk!==-1?Bk:Bk=B$3()}function lh(eo){return eo.mode&1?K$3&2&&Z$2!==0?Z$2&-Z$2:Kg.transition!==null?(Ck===0&&(Ck=yc()),Ck):(eo=C$6,eo!==0||(eo=window.event,eo=eo===void 0?16:jd(eo.type)),eo):1}function mh(eo,to,ro,no){if(50<zk)throw zk=0,Ak=null,Error(p$9(185));Ac(eo,ro,no),(!(K$3&2)||eo!==R$3)&&(eo===R$3&&(!(K$3&2)&&(rk|=ro),T$4===4&&Dk(eo,Z$2)),Ek(eo,no),ro===1&&K$3===0&&!(to.mode&1)&&(Hj=B$3()+500,fg&&jg()))}function Ek(eo,to){var ro=eo.callbackNode;wc(eo,to);var no=uc(eo,eo===R$3?Z$2:0);if(no===0)ro!==null&&bc(ro),eo.callbackNode=null,eo.callbackPriority=0;else 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ro=Jk(eo,to);if(eo.tag!==0&&ro===2){var no=xc(eo);no!==0&&(to=no,ro=Ok(eo,no))}if(ro===1)throw ro=qk,Lk(eo,0),Dk(eo,to),Ek(eo,B$3()),ro;if(ro===6)throw Error(p$9(345));return eo.finishedWork=eo.current.alternate,eo.finishedLanes=to,Qk(eo,uk,vk),Ek(eo,B$3()),null}function Rk(eo,to){var ro=K$3;K$3|=1;try{return eo(to)}finally{K$3=ro,K$3===0&&(Hj=B$3()+500,fg&&jg())}}function Sk(eo){xk!==null&&xk.tag===0&&!(K$3&6)&&Ik();var to=K$3;K$3|=1;var ro=pk.transition,no=C$6;try{if(pk.transition=null,C$6=1,eo)return eo()}finally{C$6=no,pk.transition=ro,K$3=to,!(K$3&6)&&jg()}}function Ij(){gj=fj.current,E$5(fj)}function Lk(eo,to){eo.finishedWork=null,eo.finishedLanes=0;var ro=eo.timeoutHandle;if(ro!==-1&&(eo.timeoutHandle=-1,Gf(ro)),Y$2!==null)for(ro=Y$2.return;ro!==null;){var no=ro;switch(wg(no),no.tag){case 1:no=no.type.childContextTypes,no!=null&&$f();break;case 3:Jh(),E$5(Wf),E$5(H$3),Oh();break;case 5:Lh(no);break;case 4:Jh();break;case 13:E$5(M$4);break;case 19:E$5(M$4);break;case 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po=Vi$1(so);if(po!==null){po.flags&=-257,Wi$1(po,so,ao,io,to),po.mode&1&&Ti$1(io,uo,to),to=po,lo=uo;var go=to.updateQueue;if(go===null){var vo=new Set;vo.add(lo),to.updateQueue=vo}else go.add(lo);break e}else{if(!(to&1)){Ti$1(io,uo,to),uj();break e}lo=Error(p$9(426))}}else if(I$2&&ao.mode&1){var bo=Vi$1(so);if(bo!==null){!(bo.flags&65536)&&(bo.flags|=256),Wi$1(bo,so,ao,io,to),Jg(Ki$1(lo,ao));break e}}io=lo=Ki$1(lo,ao),T$4!==4&&(T$4=2),tk===null?tk=[io]:tk.push(io),io=so;do{switch(io.tag){case 3:io.flags|=65536,to&=-to,io.lanes|=to;var xo=Oi$1(io,lo,to);fh(io,xo);break e;case 1:ao=lo;var _o=io.type,Eo=io.stateNode;if(!(io.flags&128)&&(typeof _o.getDerivedStateFromError=="function"||Eo!==null&&typeof Eo.componentDidCatch=="function"&&(Si$1===null||!Si$1.has(Eo)))){io.flags|=65536,to&=-to,io.lanes|=to;var So=Ri$1(io,ao,to);fh(io,So);break e}}io=io.return}while(io!==null)}Tk(ro)}catch(To){to=To,Y$2===ro&&ro!==null&&(Y$2=ro=ro.return);continue}break}while(!0)}function Kk(){var eo=nk.current;return nk.current=ai$1,eo===null?ai$1:eo}function uj(){(T$4===0||T$4===3||T$4===2)&&(T$4=4),R$3===null||!(hh&268435455)&&!(rk&268435455)||Dk(R$3,Z$2)}function Jk(eo,to){var ro=K$3;K$3|=2;var no=Kk();(R$3!==eo||Z$2!==to)&&(vk=null,Lk(eo,to));do try{Uk();break}catch(oo){Nk(eo,oo)}while(!0);if(Qg(),K$3=ro,nk.current=no,Y$2!==null)throw Error(p$9(261));return R$3=null,Z$2=0,T$4}function Uk(){for(;Y$2!==null;)Vk(Y$2)}function Mk(){for(;Y$2!==null&&!cc();)Vk(Y$2)}function Vk(eo){var to=Wk(eo.alternate,eo,gj);eo.memoizedProps=eo.pendingProps,to===null?Tk(eo):Y$2=to,ok.current=null}function Tk(eo){var to=eo;do{var ro=to.alternate;if(eo=to.return,to.flags&32768){if(ro=Jj(ro,to),ro!==null){ro.flags&=32767,Y$2=ro;return}if(eo!==null)eo.flags|=32768,eo.subtreeFlags=0,eo.deletions=null;else{T$4=6,Y$2=null;return}}else if(ro=Fj(ro,to,gj),ro!==null){Y$2=ro;return}if(to=to.sibling,to!==null){Y$2=to;return}Y$2=to=eo}while(to!==null);T$4===0&&(T$4=5)}function Qk(eo,to,ro){var 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+ * Copyright (c) Microsoft Corporation. All rights reserved.
+ * Licensed under the MIT License.
+ */const _canUseWeakRef=typeof WeakRef<"u";class WeakRefInstance{constructor(to){_canUseWeakRef&&typeof to=="object"?this._weakRef=new WeakRef(to):this._instance=to}deref(){var to,ro,no;let oo;return this._weakRef?(oo=(to=this._weakRef)===null||to===void 0?void 0:to.deref(),oo||delete this._weakRef):(oo=this._instance,!((no=(ro=oo)===null||ro===void 0?void 0:ro.isDisposed)===null||no===void 0)&&no.call(ro)&&delete this._instance),oo}}/*!
+ * Copyright (c) Microsoft Corporation. All rights reserved.
+ * Licensed under the MIT License.
+ */const KEYBORG_FOCUSIN="keyborg:focusin";function canOverrideNativeFocus(eo){const to=eo.HTMLElement,ro=to.prototype.focus;let no=!1;return to.prototype.focus=function(){no=!0},eo.document.createElement("button").focus(),to.prototype.focus=ro,no}let _canOverrideNativeFocus=!1;function nativeFocus(eo){const to=eo.focus;to.__keyborgNativeFocus?to.__keyborgNativeFocus.call(eo):eo.focus()}function setupFocusEvent(eo){const to=eo;_canOverrideNativeFocus||(_canOverrideNativeFocus=canOverrideNativeFocus(to));const ro=to.HTMLElement.prototype.focus;if(ro.__keyborgNativeFocus)return;to.HTMLElement.prototype.focus=so;const no=ao=>{const lo=ao.relatedTarget,uo=ao.currentTarget;uo.contains(lo)||(uo.removeEventListener("focusin",oo),uo.removeEventListener("focusout",no))},oo=ao=>{var lo;let uo=ao.target;if(!uo)return;uo.shadowRoot&&(uo.shadowRoot.addEventListener("focusin",oo),uo.shadowRoot.addEventListener("focusout",no),uo=ao.composedPath()[0]);const co={relatedTarget:ao.relatedTarget||void 0},fo=new CustomEvent(KEYBORG_FOCUSIN,{cancelable:!0,bubbles:!0,composed:!0,detail:co});fo.details=co,(_canOverrideNativeFocus||io.lastFocusedProgrammatically)&&(co.isFocusedProgrammatically=uo===((lo=io.lastFocusedProgrammatically)===null||lo===void 0?void 0:lo.deref()),io.lastFocusedProgrammatically=void 0),uo.dispatchEvent(fo)},io=to.__keyborgData={focusInHandler:oo};to.document.addEventListener("focusin",to.__keyborgData.focusInHandler,!0);function so(){const ao=to.__keyborgData;return ao&&(ao.lastFocusedProgrammatically=new WeakRefInstance(this)),ro.apply(this,arguments)}so.__keyborgNativeFocus=ro}function disposeFocusEvent(eo){const to=eo,ro=to.HTMLElement.prototype,no=ro.focus.__keyborgNativeFocus,oo=to.__keyborgData;oo&&(to.document.removeEventListener("focusin",oo.focusInHandler,!0),delete to.__keyborgData),no&&(ro.focus=no)}/*!
+ * Copyright (c) Microsoft Corporation. All rights reserved.
+ * Licensed under the MIT License.
+ */const _dismissTimeout=500;let _lastId=0;class KeyborgState{constructor(){this.__keyborgCoreRefs={},this._isNavigatingWithKeyboard=!1}add(to){const ro=to.id;ro in this.__keyborgCoreRefs||(this.__keyborgCoreRefs[ro]=new WeakRefInstance(to))}remove(to){delete this.__keyborgCoreRefs[to],Object.keys(this.__keyborgCoreRefs).length===0&&(this._isNavigatingWithKeyboard=!1)}setVal(to){if(this._isNavigatingWithKeyboard!==to){this._isNavigatingWithKeyboard=to;for(const ro of Object.keys(this.__keyborgCoreRefs)){const oo=this.__keyborgCoreRefs[ro].deref();oo?oo.update(to):this.remove(ro)}}}getVal(){return this._isNavigatingWithKeyboard}}const _state=new KeyborgState;class KeyborgCore{constructor(to,ro){this._onFocusIn=oo=>{if(this._isMouseUsedTimer||_state.getVal())return;const io=oo.detail;io.relatedTarget&&(io.isFocusedProgrammatically||io.isFocusedProgrammatically===void 0||_state.setVal(!0))},this._onMouseDown=oo=>{if(oo.buttons===0||oo.clientX===0&&oo.clientY===0&&oo.screenX===0&&oo.screenY===0)return;const io=this._win;io&&(this._isMouseUsedTimer&&io.clearTimeout(this._isMouseUsedTimer),this._isMouseUsedTimer=io.setTimeout(()=>{delete this._isMouseUsedTimer},1e3)),_state.setVal(!1)},this._onKeyDown=oo=>{var io,so;const ao=_state.getVal(),lo=oo.keyCode,uo=this._triggerKeys;if(!ao&&(!uo||uo.has(lo))){const co=(io=this._win)===null||io===void 0?void 0:io.document.activeElement;if(co&&(co.tagName==="INPUT"||co.tagName==="TEXTAREA"||co.contentEditable==="true"))return;_state.setVal(!0)}else ao&&(!((so=this._dismissKeys)===null||so===void 0)&&so.has(lo))&&this._scheduleDismiss()},this.id="c"+ ++_lastId,this._win=to;const no=to.document;if(ro){const oo=ro.triggerKeys,io=ro.dismissKeys;oo!=null&&oo.length&&(this._triggerKeys=new Set(oo)),io!=null&&io.length&&(this._dismissKeys=new Set(io))}no.addEventListener(KEYBORG_FOCUSIN,this._onFocusIn,!0),no.addEventListener("mousedown",this._onMouseDown,!0),to.addEventListener("keydown",this._onKeyDown,!0),setupFocusEvent(to),_state.add(this)}dispose(){const to=this._win;if(to){this._isMouseUsedTimer&&(to.clearTimeout(this._isMouseUsedTimer),this._isMouseUsedTimer=void 0),this._dismissTimer&&(to.clearTimeout(this._dismissTimer),this._dismissTimer=void 0),disposeFocusEvent(to);const ro=to.document;ro.removeEventListener(KEYBORG_FOCUSIN,this._onFocusIn,!0),ro.removeEventListener("mousedown",this._onMouseDown,!0),to.removeEventListener("keydown",this._onKeyDown,!0),delete this._win,_state.remove(this.id)}}isDisposed(){return!!this._win}update(to){var ro,no;const oo=(no=(ro=this._win)===null||ro===void 0?void 0:ro.__keyborg)===null||no===void 0?void 0:no.refs;if(oo)for(const io of Object.keys(oo))Keyborg.update(oo[io],to)}_scheduleDismiss(){const to=this._win;if(to){this._dismissTimer&&(to.clearTimeout(this._dismissTimer),this._dismissTimer=void 0);const ro=to.document.activeElement;this._dismissTimer=to.setTimeout(()=>{this._dismissTimer=void 0;const no=to.document.activeElement;ro&&no&&ro===no&&_state.setVal(!1)},_dismissTimeout)}}}class Keyborg{constructor(to,ro){this._cb=[],this._id="k"+ ++_lastId,this._win=to;const no=to.__keyborg;no?(this._core=no.core,no.refs[this._id]=this):(this._core=new KeyborgCore(to,ro),to.__keyborg={core:this._core,refs:{[this._id]:this}})}static create(to,ro){return new Keyborg(to,ro)}static dispose(to){to.dispose()}static update(to,ro){to._cb.forEach(no=>no(ro))}dispose(){var to;const ro=(to=this._win)===null||to===void 0?void 0:to.__keyborg;ro!=null&&ro.refs[this._id]&&(delete ro.refs[this._id],Object.keys(ro.refs).length===0&&(ro.core.dispose(),delete this._win.__keyborg)),this._cb=[],delete this._core,delete this._win}isNavigatingWithKeyboard(){return _state.getVal()}subscribe(to){this._cb.push(to)}unsubscribe(to){const ro=this._cb.indexOf(to);ro>=0&&this._cb.splice(ro,1)}setVal(to){_state.setVal(to)}}function createKeyborg(eo,to){return Keyborg.create(eo,to)}function disposeKeyborg(eo){Keyborg.dispose(eo)}/*!
+ * Copyright (c) Microsoft Corporation. All rights reserved.
+ * Licensed under the MIT License.
+ */const TabsterAttributeName="data-tabster",TabsterDummyInputAttributeName="data-tabster-dummy",DeloserEventName="tabster:deloser",ModalizerActiveEventName="tabster:modalizer:active",ModalizerInactiveEventName="tabster:modalizer:inactive",ModalizerFocusInEventName="tabster:modalizer:focusin",ModalizerFocusOutEventName="tabster:modalizer:focusout",ModalizerBeforeFocusOutEventName="tabster:modalizer:beforefocusout",MoverEventName="tabster:mover",FocusInEventName="tabster:focusin",FocusOutEventName="tabster:focusout",MoveFocusEventName="tabster:movefocus",FocusableSelector=["a[href]","button:not([disabled])","input:not([disabled])","select:not([disabled])","textarea:not([disabled])","*[tabindex]","*[contenteditable]"].join(", "),ObservedElementAccesibilities={Any:0,Accessible:1,Focusable:2},RestoreFocusOrders={History:0,DeloserDefault:1,RootDefault:2,DeloserFirst:3,RootFirst:4},Visibilities={Invisible:0,PartiallyVisible:1,Visible:2},RestorerTypes={Source:0,Target:1},MoverDirections={Both:0,Vertical:1,Horizontal:2,Grid:3,GridLinear:4},GroupperTabbabilities={Unlimited:0,Limited:1,LimitedTrapFocus:2},SysDummyInputsPositions={Auto:0,Inside:1,Outside:2};var Types=Object.freeze({__proto__:null,TabsterAttributeName,TabsterDummyInputAttributeName,DeloserEventName,ModalizerActiveEventName,ModalizerInactiveEventName,ModalizerFocusInEventName,ModalizerFocusOutEventName,ModalizerBeforeFocusOutEventName,MoverEventName,FocusInEventName,FocusOutEventName,MoveFocusEventName,FocusableSelector,ObservedElementAccesibilities,RestoreFocusOrders,Visibilities,RestorerTypes,MoverDirections,GroupperTabbabilities,SysDummyInputsPositions});/*!
+ * Copyright (c) Microsoft Corporation. All rights reserved.
+ * Licensed under the MIT License.
+ */function getTabsterOnElement(eo,to){var ro;return(ro=eo.storageEntry(to))===null||ro===void 0?void 0:ro.tabster}function updateTabsterByAttribute(eo,to,ro){var no,oo;const io=ro||eo._noop?void 0:to.getAttribute(TabsterAttributeName);let so=eo.storageEntry(to),ao;if(io)if(io!==((no=so==null?void 0:so.attr)===null||no===void 0?void 0:no.string))try{const fo=JSON.parse(io);if(typeof fo!="object")throw new Error(`Value is not a JSON object, got '${io}'.`);ao={string:io,object:fo}}catch{}else return;else if(!so)return;so||(so=eo.storageEntry(to,!0)),so.tabster||(so.tabster={});const lo=so.tabster||{},uo=((oo=so.attr)===null||oo===void 0?void 0:oo.object)||{},co=(ao==null?void 0:ao.object)||{};for(const fo of Object.keys(uo))if(!co[fo]){if(fo==="root"){const ho=lo[fo];ho&&eo.root.onRoot(ho,!0)}switch(fo){case"deloser":case"root":case"groupper":case"modalizer":case"restorer":case"mover":const ho=lo[fo];ho&&(ho.dispose(),delete lo[fo]);break;case"observed":delete lo[fo],eo.observedElement&&eo.observedElement.onObservedElementUpdate(to);break;case"focusable":case"outline":case"uncontrolled":case"sys":delete lo[fo];break}}for(const fo of Object.keys(co)){const ho=co.sys;switch(fo){case"deloser":lo.deloser?lo.deloser.setProps(co.deloser):eo.deloser&&(lo.deloser=eo.deloser.createDeloser(to,co.deloser));break;case"root":lo.root?lo.root.setProps(co.root):lo.root=eo.root.createRoot(to,co.root,ho),eo.root.onRoot(lo.root);break;case"modalizer":lo.modalizer?lo.modalizer.setProps(co.modalizer):eo.modalizer&&(lo.modalizer=eo.modalizer.createModalizer(to,co.modalizer,ho));break;case"restorer":lo.restorer?lo.restorer.setProps(co.restorer):eo.restorer&&co.restorer&&(lo.restorer=eo.restorer.createRestorer(to,co.restorer));break;case"focusable":lo.focusable=co.focusable;break;case"groupper":lo.groupper?lo.groupper.setProps(co.groupper):eo.groupper&&(lo.groupper=eo.groupper.createGroupper(to,co.groupper,ho));break;case"mover":lo.mover?lo.mover.setProps(co.mover):eo.mover&&(lo.mover=eo.mover.createMover(to,co.mover,ho));break;case"observed":eo.observedElement&&(lo.observed=co.observed,eo.observedElement.onObservedElementUpdate(to));break;case"uncontrolled":lo.uncontrolled=co.uncontrolled;break;case"outline":eo.outline&&(lo.outline=co.outline);break;case"sys":lo.sys=co.sys;break;default:console.error(`Unknown key '${fo}' in data-tabster attribute value.`)}}ao?so.attr=ao:(Object.keys(lo).length===0&&(delete so.tabster,delete so.attr),eo.storageEntry(to,!1))}/*!
+ * Copyright (c) Microsoft Corporation. All rights reserved.
+ * Licensed under the MIT License.
+ */function createEventTarget(eo){const to=eo();try{if(to.EventTarget)return new to.EventTarget}catch(ro){if(!(ro instanceof TypeError))throw ro}return to.document.createElement("div")}/*!
+ * Copyright (c) Microsoft Corporation. All rights reserved.
+ * Licensed under the MIT License.
+ */let _isBrokenIE11;const _DOMRect=typeof DOMRect<"u"?DOMRect:class{constructor(eo,to,ro,no){this.left=eo||0,this.top=to||0,this.right=(eo||0)+(ro||0),this.bottom=(to||0)+(no||0)}};let _uidCounter=0;try{document.createTreeWalker(document,NodeFilter.SHOW_ELEMENT),_isBrokenIE11=!1}catch{_isBrokenIE11=!0}const _updateDummyInputsTimeout=100;function getInstanceContext(eo){const to=eo();let ro=to.__tabsterInstanceContext;return ro||(ro={elementByUId:{},basics:{Promise:to.Promise||void 0,WeakRef:to.WeakRef||void 0},containerBoundingRectCache:{},lastContainerBoundingRectCacheId:0,fakeWeakRefs:[],fakeWeakRefsStarted:!1},to.__tabsterInstanceContext=ro),ro}function disposeInstanceContext(eo){const to=eo.__tabsterInstanceContext;to&&(to.elementByUId={},delete to.WeakRef,to.containerBoundingRectCache={},to.containerBoundingRectCacheTimer&&eo.clearTimeout(to.containerBoundingRectCacheTimer),to.fakeWeakRefsTimer&&eo.clearTimeout(to.fakeWeakRefsTimer),to.fakeWeakRefs=[],delete eo.__tabsterInstanceContext)}function createWeakMap(eo){const to=eo.__tabsterInstanceContext;return new((to==null?void 0:to.basics.WeakMap)||WeakMap)}function hasSubFocusable(eo){return!!eo.querySelector(FocusableSelector)}class FakeWeakRef{constructor(to){this._target=to}deref(){return this._target}static cleanup(to,ro){return to._target?ro||!documentContains(to._target.ownerDocument,to._target)?(delete to._target,!0):!1:!0}}class WeakHTMLElement{constructor(to,ro,no){const oo=getInstanceContext(to);let io;oo.WeakRef?io=new oo.WeakRef(ro):(io=new FakeWeakRef(ro),oo.fakeWeakRefs.push(io)),this._ref=io,this._data=no}get(){const to=this._ref;let ro;return to&&(ro=to.deref(),ro||delete this._ref),ro}getData(){return this._data}}function cleanupFakeWeakRefs(eo,to){const ro=getInstanceContext(eo);ro.fakeWeakRefs=ro.fakeWeakRefs.filter(no=>!FakeWeakRef.cleanup(no,to))}function startFakeWeakRefsCleanup(eo){const to=getInstanceContext(eo);to.fakeWeakRefsStarted||(to.fakeWeakRefsStarted=!0,to.WeakRef=getWeakRef(to)),to.fakeWeakRefsTimer||(to.fakeWeakRefsTimer=eo().setTimeout(()=>{to.fakeWeakRefsTimer=void 0,cleanupFakeWeakRefs(eo),startFakeWeakRefsCleanup(eo)},2*60*1e3))}function stopFakeWeakRefsCleanupAndClearStorage(eo){const to=getInstanceContext(eo);to.fakeWeakRefsStarted=!1,to.fakeWeakRefsTimer&&(eo().clearTimeout(to.fakeWeakRefsTimer),to.fakeWeakRefsTimer=void 0,to.fakeWeakRefs=[])}function createElementTreeWalker(eo,to,ro){if(to.nodeType!==Node.ELEMENT_NODE)return;const no=_isBrokenIE11?ro:{acceptNode:ro};return eo.createTreeWalker(to,NodeFilter.SHOW_ELEMENT,no,!1)}function getBoundingRect(eo,to){let ro=to.__tabsterCacheId;const no=getInstanceContext(eo),oo=ro?no.containerBoundingRectCache[ro]:void 0;if(oo)return oo.rect;const io=to.ownerDocument&&to.ownerDocument.documentElement;if(!io)return new _DOMRect;let so=0,ao=0,lo=io.clientWidth,uo=io.clientHeight;if(to!==io){const fo=to.getBoundingClientRect();so=Math.max(so,fo.left),ao=Math.max(ao,fo.top),lo=Math.min(lo,fo.right),uo=Math.min(uo,fo.bottom)}const co=new _DOMRect(so<lo?so:-1,ao<uo?ao:-1,so<lo?lo-so:0,ao<uo?uo-ao:0);return ro||(ro="r-"+ ++no.lastContainerBoundingRectCacheId,to.__tabsterCacheId=ro),no.containerBoundingRectCache[ro]={rect:co,element:to},no.containerBoundingRectCacheTimer||(no.containerBoundingRectCacheTimer=window.setTimeout(()=>{no.containerBoundingRectCacheTimer=void 0;for(const fo of Object.keys(no.containerBoundingRectCache))delete no.containerBoundingRectCache[fo].element.__tabsterCacheId;no.containerBoundingRectCache={}},50)),co}function isElementVerticallyVisibleInContainer(eo,to,ro){const no=getScrollableContainer(to);if(!no)return!1;const oo=getBoundingRect(eo,no),io=to.getBoundingClientRect(),so=io.height*(1-ro),ao=Math.max(0,oo.top-io.top),lo=Math.max(0,io.bottom-oo.bottom),uo=ao+lo;return uo===0||uo<=so}function scrollIntoView$4(eo,to,ro){const no=getScrollableContainer(to);if(no){const oo=getBoundingRect(eo,no),io=to.getBoundingClientRect();ro?no.scrollTop+=io.top-oo.top:no.scrollTop+=io.bottom-oo.bottom}}function getScrollableContainer(eo){const to=eo.ownerDocument;if(to){for(let ro=eo.parentElement;ro;ro=ro.parentElement)if(ro.scrollWidth>ro.clientWidth||ro.scrollHeight>ro.clientHeight)return ro;return to.documentElement}return null}function makeFocusIgnored(eo){eo.__shouldIgnoreFocus=!0}function shouldIgnoreFocus(eo){return!!eo.__shouldIgnoreFocus}function getUId(eo){const to=new Uint32Array(4);if(eo.crypto&&eo.crypto.getRandomValues)eo.crypto.getRandomValues(to);else if(eo.msCrypto&&eo.msCrypto.getRandomValues)eo.msCrypto.getRandomValues(to);else for(let no=0;no<to.length;no++)to[no]=4294967295*Math.random();const ro=[];for(let no=0;no<to.length;no++)ro.push(to[no].toString(36));return ro.push("|"),ro.push((++_uidCounter).toString(36)),ro.push("|"),ro.push(Date.now().toString(36)),ro.join("")}function getElementUId(eo,to){const ro=getInstanceContext(eo);let no=to.__tabsterElementUID;return no||(no=to.__tabsterElementUID=getUId(eo())),!ro.elementByUId[no]&&documentContains(to.ownerDocument,to)&&(ro.elementByUId[no]=new WeakHTMLElement(eo,to)),no}function clearElementCache(eo,to){const ro=getInstanceContext(eo);for(const no of Object.keys(ro.elementByUId)){const oo=ro.elementByUId[no],io=oo&&oo.get();io&&to&&!to.contains(io)||delete ro.elementByUId[no]}}function documentContains(eo,to){var ro;return!!(!((ro=eo==null?void 0:eo.body)===null||ro===void 0)&&ro.contains(to))}function matchesSelector(eo,to){const ro=eo.matches||eo.matchesSelector||eo.msMatchesSelector||eo.webkitMatchesSelector;return ro&&ro.call(eo,to)}function getPromise(eo){const to=getInstanceContext(eo);if(to.basics.Promise)return to.basics.Promise;throw new Error("No Promise defined.")}function getWeakRef(eo){return eo.basics.WeakRef}let _lastTabsterPartId=0;class TabsterPart{constructor(to,ro,no){const oo=to.getWindow;this._tabster=to,this._element=new WeakHTMLElement(oo,ro),this._props={...no},this.id="i"+ ++_lastTabsterPartId}getElement(){return this._element.get()}getProps(){return this._props}setProps(to){this._props={...to}}}class DummyInput{constructor(to,ro,no,oo,io){var so;this._focusIn=co=>{if(this._fixedTarget){const ho=this._fixedTarget.get();ho&&nativeFocus(ho);return}const fo=this.input;if(this.onFocusIn&&fo){const ho=co.relatedTarget;this.onFocusIn(this,this._isBackward(!0,fo,ho),ho)}},this._focusOut=co=>{if(this._fixedTarget)return;this.useDefaultAction=!1;const fo=this.input;if(this.onFocusOut&&fo){const ho=co.relatedTarget;this.onFocusOut(this,this._isBackward(!1,fo,ho),ho)}};const ao=to(),lo=ao.document.createElement("i");lo.tabIndex=0,lo.setAttribute("role","none"),lo.setAttribute(TabsterDummyInputAttributeName,""),lo.setAttribute("aria-hidden","true");const uo=lo.style;uo.position="fixed",uo.width=uo.height="1px",uo.opacity="0.001",uo.zIndex="-1",uo.setProperty("content-visibility","hidden"),makeFocusIgnored(lo),this.input=lo,this.isFirst=no.isFirst,this.isOutside=ro,this._isPhantom=(so=no.isPhantom)!==null&&so!==void 0?so:!1,this._fixedTarget=io,lo.addEventListener("focusin",this._focusIn),lo.addEventListener("focusout",this._focusOut),lo.__tabsterDummyContainer=oo,this._isPhantom&&(this._disposeTimer=ao.setTimeout(()=>{delete this._disposeTimer,this.dispose()},0),this._clearDisposeTimeout=()=>{this._disposeTimer&&(ao.clearTimeout(this._disposeTimer),delete this._disposeTimer),delete this._clearDisposeTimeout})}dispose(){var to;this._clearDisposeTimeout&&this._clearDisposeTimeout();const ro=this.input;ro&&(delete this._fixedTarget,delete this.onFocusIn,delete this.onFocusOut,delete this.input,ro.removeEventListener("focusin",this._focusIn),ro.removeEventListener("focusout",this._focusOut),delete ro.__tabsterDummyContainer,(to=ro.parentElement)===null||to===void 0||to.removeChild(ro))}setTopLeft(to,ro){var no;const oo=(no=this.input)===null||no===void 0?void 0:no.style;oo&&(oo.top=`${to}px`,oo.left=`${ro}px`)}_isBackward(to,ro,no){return to&&!no?!this.isFirst:!!(no&&ro.compareDocumentPosition(no)&Node.DOCUMENT_POSITION_FOLLOWING)}}const DummyInputManagerPriorities={Root:1,Modalizer:2,Mover:3,Groupper:4};class DummyInputManager{constructor(to,ro,no,oo,io,so){this._element=ro,this._instance=new DummyInputManagerCore(to,ro,this,no,oo,io,so)}_setHandlers(to,ro){this._onFocusIn=to,this._onFocusOut=ro}moveOut(to){var ro;(ro=this._instance)===null||ro===void 0||ro.moveOut(to)}moveOutWithDefaultAction(to,ro){var no;(no=this._instance)===null||no===void 0||no.moveOutWithDefaultAction(to,ro)}getHandler(to){return to?this._onFocusIn:this._onFocusOut}setTabbable(to){var ro;(ro=this._instance)===null||ro===void 0||ro.setTabbable(this,to)}dispose(){this._instance&&(this._instance.dispose(this),delete this._instance),delete this._onFocusIn,delete this._onFocusOut}static moveWithPhantomDummy(to,ro,no,oo,io){var so;const lo=new DummyInput(to.getWindow,!0,{isPhantom:!0,isFirst:!0}).input;if(lo){let uo,co;if(ro.tagName==="BODY")uo=ro,co=no&&oo||!no&&!oo?ro.firstElementChild:null;else{no&&(!oo||oo&&!to.focusable.isFocusable(ro,!1,!0,!0))?(uo=ro,co=oo?ro.firstElementChild:null):(uo=ro.parentElement,co=no&&oo||!no&&!oo?ro:ro.nextElementSibling);let fo,ho;do fo=no&&oo||!no&&!oo?co==null?void 0:co.previousElementSibling:co,ho=(so=fo==null?void 0:fo.__tabsterDummyContainer)===null||so===void 0?void 0:so.get(),ho===ro?co=no&&oo||!no&&!oo?fo:fo==null?void 0:fo.nextElementSibling:ho=void 0;while(ho)}uo&&triggerMoveFocusEvent({by:"root",owner:uo,next:null,relatedEvent:io})&&(uo.insertBefore(lo,co),nativeFocus(lo))}}static addPhantomDummyWithTarget(to,ro,no,oo){const so=new DummyInput(to.getWindow,!0,{isPhantom:!0,isFirst:!0},void 0,new WeakHTMLElement(to.getWindow,oo)).input;if(so){let ao,lo;hasSubFocusable(ro)&&!no?(ao=ro,lo=ro.firstElementChild):(ao=ro.parentElement,lo=no?ro:ro.nextElementSibling),ao==null||ao.insertBefore(so,lo)}}}class DummyInputObserver{constructor(to){this._updateQueue=new Set,this._lastUpdateQueueTime=0,this._changedParents=new WeakSet,this._dummyElements=[],this._dummyCallbacks=new WeakMap,this._domChanged=ro=>{var no;this._changedParents.has(ro)||(this._changedParents.add(ro),!this._updateDummyInputsTimer&&(this._updateDummyInputsTimer=(no=this._win)===null||no===void 0?void 0:no.call(this).setTimeout(()=>{delete this._updateDummyInputsTimer;for(const oo of this._dummyElements){const io=oo.get();if(io){const so=this._dummyCallbacks.get(io);if(so){const ao=io.parentElement;(!ao||this._changedParents.has(ao))&&so()}}}this._changedParents=new WeakSet},_updateDummyInputsTimeout)))},this._win=to}add(to,ro){!this._dummyCallbacks.has(to)&&this._win&&(this._dummyElements.push(new WeakHTMLElement(this._win,to)),this._dummyCallbacks.set(to,ro),this.domChanged=this._domChanged)}remove(to){this._dummyElements=this._dummyElements.filter(ro=>{const no=ro.get();return no&&no!==to}),this._dummyCallbacks.delete(to),this._dummyElements.length===0&&delete this.domChanged}dispose(){var to;const ro=(to=this._win)===null||to===void 0?void 0:to.call(this);this._updateTimer&&(ro==null||ro.clearTimeout(this._updateTimer),delete this._updateTimer),this._updateDummyInputsTimer&&(ro==null||ro.clearTimeout(this._updateDummyInputsTimer),delete this._updateDummyInputsTimer),this._changedParents=new WeakSet,this._dummyCallbacks=new WeakMap,this._dummyElements=[],this._updateQueue.clear(),delete this.domChanged,delete this._win}updatePositions(to){this._win&&(this._updateQueue.add(to),this._lastUpdateQueueTime=Date.now(),this._scheduledUpdatePositions())}_scheduledUpdatePositions(){var to;this._updateTimer||(this._updateTimer=(to=this._win)===null||to===void 0?void 0:to.call(this).setTimeout(()=>{if(delete this._updateTimer,this._lastUpdateQueueTime+_updateDummyInputsTimeout<=Date.now()){const ro=new Map,no=[];for(const oo of this._updateQueue)no.push(oo(ro));this._updateQueue.clear();for(const oo of no)oo();ro.clear()}else this._scheduledUpdatePositions()},_updateDummyInputsTimeout))}}class DummyInputManagerCore{constructor(to,ro,no,oo,io,so,ao){this._wrappers=[],this._isOutside=!1,this._transformElements=new Set,this._onFocusIn=(po,go,vo)=>{this._onFocus(!0,po,go,vo)},this._onFocusOut=(po,go,vo)=>{this._onFocus(!1,po,go,vo)},this.moveOut=po=>{var go;const vo=this._firstDummy,bo=this._lastDummy;if(vo&&bo){this._ensurePosition();const xo=vo.input,_o=bo.input,Eo=(go=this._element)===null||go===void 0?void 0:go.get();if(xo&&_o&&Eo){let So;po?(xo.tabIndex=0,So=xo):(_o.tabIndex=0,So=_o),So&&nativeFocus(So)}}},this.moveOutWithDefaultAction=(po,go)=>{var vo;const bo=this._firstDummy,xo=this._lastDummy;if(bo&&xo){this._ensurePosition();const _o=bo.input,Eo=xo.input,So=(vo=this._element)===null||vo===void 0?void 0:vo.get();if(_o&&Eo&&So){let To;po?!bo.isOutside&&this._tabster.focusable.isFocusable(So,!0,!0,!0)?To=So:(bo.useDefaultAction=!0,_o.tabIndex=0,To=_o):(xo.useDefaultAction=!0,Eo.tabIndex=0,To=Eo),To&&triggerMoveFocusEvent({by:"root",owner:So,next:null,relatedEvent:go})&&nativeFocus(To)}}},this.setTabbable=(po,go)=>{var vo,bo;for(const _o of this._wrappers)if(_o.manager===po){_o.tabbable=go;break}const xo=this._getCurrent();if(xo){const _o=xo.tabbable?0:-1;let Eo=(vo=this._firstDummy)===null||vo===void 0?void 0:vo.input;Eo&&(Eo.tabIndex=_o),Eo=(bo=this._lastDummy)===null||bo===void 0?void 0:bo.input,Eo&&(Eo.tabIndex=_o)}},this._addDummyInputs=()=>{this._addTimer||(this._addTimer=this._getWindow().setTimeout(()=>{delete this._addTimer,this._ensurePosition(),this._addTransformOffsets()},0))},this._addTransformOffsets=()=>{this._tabster._dummyObserver.updatePositions(this._computeTransformOffsets)},this._computeTransformOffsets=po=>{var go,vo;const bo=((go=this._firstDummy)===null||go===void 0?void 0:go.input)||((vo=this._lastDummy)===null||vo===void 0?void 0:vo.input),xo=this._transformElements,_o=new Set;let Eo=0,So=0;const To=this._getWindow();for(let wo=bo;wo&&wo.nodeType===Node.ELEMENT_NODE;wo=wo.parentElement){let Co=po.get(wo);if(Co===void 0){const Oo=To.getComputedStyle(wo).transform;Oo&&Oo!=="none"&&(Co={scrollTop:wo.scrollTop,scrollLeft:wo.scrollLeft}),po.set(wo,Co||null)}Co&&(_o.add(wo),xo.has(wo)||wo.addEventListener("scroll",this._addTransformOffsets),Eo+=Co.scrollTop,So+=Co.scrollLeft)}for(const wo of xo)_o.has(wo)||wo.removeEventListener("scroll",this._addTransformOffsets);return this._transformElements=_o,()=>{var wo,Co;(wo=this._firstDummy)===null||wo===void 0||wo.setTopLeft(Eo,So),(Co=this._lastDummy)===null||Co===void 0||Co.setTopLeft(Eo,So)}};const lo=ro.get();if(!lo)throw new Error("No element");this._tabster=to,this._getWindow=to.getWindow,this._callForDefaultAction=ao;const uo=lo.__tabsterDummy;if((uo||this)._wrappers.push({manager:no,priority:oo,tabbable:!0}),uo)return uo;lo.__tabsterDummy=this;const co=io==null?void 0:io.dummyInputsPosition,fo=lo.tagName;this._isOutside=co?co===SysDummyInputsPositions.Outside:(so||fo==="UL"||fo==="OL"||fo==="TABLE")&&!(fo==="LI"||fo==="TD"||fo==="TH"),this._firstDummy=new DummyInput(this._getWindow,this._isOutside,{isFirst:!0},ro),this._lastDummy=new DummyInput(this._getWindow,this._isOutside,{isFirst:!1},ro);const ho=this._firstDummy.input;ho&&to._dummyObserver.add(ho,this._addDummyInputs),this._firstDummy.onFocusIn=this._onFocusIn,this._firstDummy.onFocusOut=this._onFocusOut,this._lastDummy.onFocusIn=this._onFocusIn,this._lastDummy.onFocusOut=this._onFocusOut,this._element=ro,this._addDummyInputs()}dispose(to,ro){var no,oo,io,so;if((this._wrappers=this._wrappers.filter(lo=>lo.manager!==to&&!ro)).length===0){delete((no=this._element)===null||no===void 0?void 0:no.get()).__tabsterDummy;for(const co of this._transformElements)co.removeEventListener("scroll",this._addTransformOffsets);this._transformElements.clear();const lo=this._getWindow();this._addTimer&&(lo.clearTimeout(this._addTimer),delete this._addTimer);const uo=(oo=this._firstDummy)===null||oo===void 0?void 0:oo.input;uo&&this._tabster._dummyObserver.remove(uo),(io=this._firstDummy)===null||io===void 0||io.dispose(),(so=this._lastDummy)===null||so===void 0||so.dispose()}}_onFocus(to,ro,no,oo){var io;const so=this._getCurrent();so&&(!ro.useDefaultAction||this._callForDefaultAction)&&((io=so.manager.getHandler(to))===null||io===void 0||io(ro,no,oo))}_getCurrent(){return this._wrappers.sort((to,ro)=>to.tabbable!==ro.tabbable?to.tabbable?-1:1:to.priority-ro.priority),this._wrappers[0]}_ensurePosition(){var to,ro,no;const oo=(to=this._element)===null||to===void 0?void 0:to.get(),io=(ro=this._firstDummy)===null||ro===void 0?void 0:ro.input,so=(no=this._lastDummy)===null||no===void 0?void 0:no.input;if(!(!oo||!io||!so))if(this._isOutside){const ao=oo.parentElement;if(ao){const lo=oo.nextElementSibling;lo!==so&&ao.insertBefore(so,lo),oo.previousElementSibling!==io&&ao.insertBefore(io,oo)}}else{oo.lastElementChild!==so&&oo.appendChild(so);const ao=oo.firstElementChild;ao&&ao!==io&&oo.insertBefore(io,ao)}}}function getLastChild(eo){let to=null;for(let ro=eo.lastElementChild;ro;ro=ro.lastElementChild)to=ro;return to||void 0}function getAdjacentElement(eo,to){let ro=eo,no=null;for(;ro&&!no;)no=to?ro.previousElementSibling:ro.nextElementSibling,ro=ro.parentElement;return no||void 0}function triggerEvent(eo,to,ro){const no=document.createEvent("HTMLEvents");return no.initEvent(to,!0,!0),no.details=ro,eo.dispatchEvent(no),!no.defaultPrevented}function triggerMoveFocusEvent(eo){return triggerEvent(eo.owner,MoveFocusEventName,eo)}function augmentAttribute(eo,to,ro,no){const oo=eo.storageEntry(to,!0);let io=!1;if(!oo.aug){if(no===void 0)return io;oo.aug={}}if(no===void 0){if(ro in oo.aug){const so=oo.aug[ro];delete oo.aug[ro],so===null?to.removeAttribute(ro):to.setAttribute(ro,so),io=!0}}else{let so;ro in oo.aug||(so=to.getAttribute(ro)),so!==void 0&&so!==no&&(oo.aug[ro]=so,no===null?to.removeAttribute(ro):to.setAttribute(ro,no),io=!0)}return no===void 0&&Object.keys(oo.aug).length===0&&(delete oo.aug,eo.storageEntry(to,!1)),io}/*!
+ * Copyright (c) Microsoft Corporation. All rights reserved.
+ * Licensed under the MIT License.
+ */function getTabsterAttribute(eo,to){const ro=JSON.stringify(eo);return to===!0?ro:{[TabsterAttributeName]:ro}}function mergeTabsterProps(eo,to){for(const ro of Object.keys(to)){const no=to[ro];no?eo[ro]=no:delete eo[ro]}}function setTabsterAttribute(eo,to,ro){let no;if(ro){const oo=eo.getAttribute(TabsterAttributeName);if(oo)try{no=JSON.parse(oo)}catch{}}no||(no={}),mergeTabsterProps(no,to),Object.keys(no).length>0?eo.setAttribute(TabsterAttributeName,getTabsterAttribute(no,!0)):eo.removeAttribute(TabsterAttributeName)}class RootDummyManager extends DummyInputManager{constructor(to,ro,no,oo){super(to,ro,DummyInputManagerPriorities.Root,oo,void 0,!0),this._onDummyInputFocus=io=>{var so;if(io.useDefaultAction)this._setFocused(!1);else{this._tabster.keyboardNavigation.setNavigatingWithKeyboard(!0);const ao=this._element.get();if(ao){this._setFocused(!0);const lo=this._tabster.focusedElement.getFirstOrLastTabbable(io.isFirst,{container:ao,ignoreAccessibility:!0});if(lo){nativeFocus(lo);return}}(so=io.input)===null||so===void 0||so.blur()}},this._setHandlers(this._onDummyInputFocus),this._tabster=to,this._setFocused=no}}class Root extends TabsterPart{constructor(to,ro,no,oo,io){super(to,ro,oo),this._isFocused=!1,this._setFocused=lo=>{var uo;if(this._setFocusedTimer&&(this._tabster.getWindow().clearTimeout(this._setFocusedTimer),delete this._setFocusedTimer),this._isFocused===lo)return;const co=this._element.get();co&&(lo?(this._isFocused=!0,(uo=this._dummyManager)===null||uo===void 0||uo.setTabbable(!1),triggerEvent(this._tabster.root.eventTarget,"focus",{element:co})):this._setFocusedTimer=this._tabster.getWindow().setTimeout(()=>{var fo;delete this._setFocusedTimer,this._isFocused=!1,(fo=this._dummyManager)===null||fo===void 0||fo.setTabbable(!0),triggerEvent(this._tabster.root.eventTarget,"blur",{element:co})},0))},this._onFocusIn=lo=>{const uo=this._tabster.getParent,co=this._element.get();let fo=lo.target;do{if(fo===co){this._setFocused(!0);return}fo=fo&&uo(fo)}while(fo)},this._onFocusOut=()=>{this._setFocused(!1)},this._onDispose=no;const so=to.getWindow;this.uid=getElementUId(so,ro),this._sys=io,(to.controlTab||to.rootDummyInputs)&&this.addDummyInputs();const ao=so();ao.document.addEventListener("focusin",this._onFocusIn),ao.document.addEventListener("focusout",this._onFocusOut),this._add()}addDummyInputs(){this._dummyManager||(this._dummyManager=new RootDummyManager(this._tabster,this._element,this._setFocused,this._sys))}dispose(){var to;this._onDispose(this);const ro=this._tabster.getWindow();ro.document.removeEventListener("focusin",this._onFocusIn),ro.document.removeEventListener("focusout",this._onFocusOut),this._setFocusedTimer&&(ro.clearTimeout(this._setFocusedTimer),delete this._setFocusedTimer),(to=this._dummyManager)===null||to===void 0||to.dispose(),this._remove()}moveOutWithDefaultAction(to,ro){const no=this._dummyManager;if(no)no.moveOutWithDefaultAction(to,ro);else{const oo=this.getElement();oo&&RootDummyManager.moveWithPhantomDummy(this._tabster,oo,!0,to,ro)}}_add(){}_remove(){}}class RootAPI{constructor(to,ro){this._autoRootWaiting=!1,this._roots={},this._forceDummy=!1,this.rootById={},this._autoRootCreate=()=>{var no;const oo=this._win().document,io=oo.body;if(io){this._autoRootUnwait(oo);const so=this._autoRoot;if(so)return setTabsterAttribute(io,{root:so},!0),updateTabsterByAttribute(this._tabster,io),(no=getTabsterOnElement(this._tabster,io))===null||no===void 0?void 0:no.root}else this._autoRootWaiting||(this._autoRootWaiting=!0,oo.addEventListener("readystatechange",this._autoRootCreate))},this._onRootDispose=no=>{delete this._roots[no.id]},this._tabster=to,this._win=to.getWindow,this._autoRoot=ro,this.eventTarget=createEventTarget(this._win),to.queueInit(()=>{this._autoRoot&&this._autoRootCreate()})}_autoRootUnwait(to){to.removeEventListener("readystatechange",this._autoRootCreate),this._autoRootWaiting=!1}dispose(){const to=this._win();this._autoRootUnwait(to.document),delete this._autoRoot,Object.keys(this._roots).forEach(ro=>{this._roots[ro]&&(this._roots[ro].dispose(),delete this._roots[ro])}),this.rootById={}}createRoot(to,ro,no){const oo=new Root(this._tabster,to,this._onRootDispose,ro,no);return this._roots[oo.id]=oo,this._forceDummy&&oo.addDummyInputs(),oo}addDummyInputs(){this._forceDummy=!0;const to=this._roots;for(const ro of Object.keys(to))to[ro].addDummyInputs()}static getRootByUId(to,ro){const no=to().__tabsterInstance;return no&&no.root.rootById[ro]}static getTabsterContext(to,ro,no){no===void 0&&(no={});var oo,io,so,ao;if(!ro.ownerDocument)return;const{checkRtl:lo,referenceElement:uo}=no,co=to.getParent;to.drainInitQueue();let fo,ho,po,go,vo=!1,bo,xo,_o,Eo,So=uo||ro;const To={};for(;So&&(!fo||lo);){const Co=getTabsterOnElement(to,So);if(lo&&_o===void 0){const Mo=So.dir;Mo&&(_o=Mo.toLowerCase()==="rtl")}if(!Co){So=co(So);continue}const Oo=So.tagName;(Co.uncontrolled||Oo==="IFRAME"||Oo==="WEBVIEW")&&(Eo=So),!go&&(!((oo=Co.focusable)===null||oo===void 0)&&oo.excludeFromMover)&&!po&&(vo=!0);const Ao=Co.modalizer,Ro=Co.groupper,No=Co.mover;!ho&&Ao&&(ho=Ao),!po&&Ro&&(!ho||Ao)&&(ho?(!Ro.isActive()&&Ro.getProps().tabbability&&ho.userId!==((io=to.modalizer)===null||io===void 0?void 0:io.activeId)&&(ho=void 0,po=Ro),xo=Ro):po=Ro),!go&&No&&(!ho||Ao)&&(!Ro||So!==ro)&&(go=No,bo=!!po&&po!==Ro),Co.root&&(fo=Co.root),!((so=Co.focusable)===null||so===void 0)&&so.ignoreKeydown&&Object.assign(To,Co.focusable.ignoreKeydown),So=co(So)}if(!fo){const Co=to.root;Co._autoRoot&&!((ao=ro.ownerDocument)===null||ao===void 0)&&ao.body&&(fo=Co._autoRootCreate())}return po&&!go&&(bo=!0),fo?{root:fo,modalizer:ho,groupper:po,mover:go,groupperBeforeMover:bo,modalizerInGroupper:xo,rtl:lo?!!_o:void 0,uncontrolled:Eo,excludedFromMover:vo,ignoreKeydown:Co=>!!To[Co.key]}:void 0}static getRoot(to,ro){var no;const oo=to.getParent;for(let io=ro;io;io=oo(io)){const so=(no=getTabsterOnElement(to,io))===null||no===void 0?void 0:no.root;if(so)return so}}onRoot(to,ro){ro?delete this.rootById[to.uid]:this.rootById[to.uid]=to}}/*!
+ * Copyright (c) Microsoft Corporation. All rights reserved.
+ * Licensed under the MIT License.
+ */class Subscribable{constructor(){this._callbacks=[]}dispose(){this._callbacks=[],delete this._val}subscribe(to){const ro=this._callbacks;ro.indexOf(to)<0&&ro.push(to)}subscribeFirst(to){const ro=this._callbacks,no=ro.indexOf(to);no>=0&&ro.splice(no,1),ro.unshift(to)}unsubscribe(to){const ro=this._callbacks.indexOf(to);ro>=0&&this._callbacks.splice(ro,1)}setVal(to,ro){this._val!==to&&(this._val=to,this._callCallbacks(to,ro))}getVal(){return this._val}trigger(to,ro){this._callCallbacks(to,ro)}_callCallbacks(to,ro){this._callbacks.forEach(no=>no(to,ro))}}/*!
+ * Copyright (c) Microsoft Corporation. All rights reserved.
+ * Licensed under the MIT License.
+ */class FocusableAPI{constructor(to){this._tabster=to}dispose(){}getProps(to){const ro=getTabsterOnElement(this._tabster,to);return ro&&ro.focusable||{}}isFocusable(to,ro,no,oo){return matchesSelector(to,FocusableSelector)&&(ro||to.tabIndex!==-1)?(no||this.isVisible(to))&&(oo||this.isAccessible(to)):!1}isVisible(to){if(!to.ownerDocument||to.nodeType!==Node.ELEMENT_NODE||to.offsetParent===null&&to.ownerDocument.body!==to)return!1;const ro=to.ownerDocument.defaultView;if(!ro)return!1;const no=to.ownerDocument.body.getBoundingClientRect();return!(no.width===0&&no.height===0||ro.getComputedStyle(to).visibility==="hidden")}isAccessible(to){var ro;for(let no=to;no;no=no.parentElement){const oo=getTabsterOnElement(this._tabster,no);if(this._isHidden(no)||!((ro=oo==null?void 0:oo.focusable)===null||ro===void 0?void 0:ro.ignoreAriaDisabled)&&this._isDisabled(no))return!1}return!0}_isDisabled(to){return to.hasAttribute("disabled")}_isHidden(to){var ro;const no=to.getAttribute("aria-hidden");return!!(no&&no.toLowerCase()==="true"&&!(!((ro=this._tabster.modalizer)===null||ro===void 0)&&ro.isAugmented(to)))}findFirst(to,ro){return this.findElement({...to},ro)}findLast(to,ro){return this.findElement({isBackward:!0,...to},ro)}findNext(to,ro){return this.findElement({...to},ro)}findPrev(to,ro){return this.findElement({...to,isBackward:!0},ro)}findDefault(to,ro){return this.findElement({...to,acceptCondition:no=>this.isFocusable(no,to.includeProgrammaticallyFocusable)&&!!this.getProps(no).isDefault},ro)||null}findAll(to){return this._findElements(!0,to)||[]}findElement(to,ro){const no=this._findElements(!1,to,ro);return no&&no[0]}_findElements(to,ro,no){var oo,io,so;const{container:ao,currentElement:lo=null,includeProgrammaticallyFocusable:uo,useActiveModalizer:co,ignoreAccessibility:fo,modalizerId:ho,isBackward:po,onElement:go}=ro;no||(no={});const vo=[];let{acceptCondition:bo}=ro;const xo=!!bo;if(!ao)return null;bo||(bo=To=>this.isFocusable(To,uo,!1,fo));const _o={container:ao,modalizerUserId:ho===void 0&&co?(oo=this._tabster.modalizer)===null||oo===void 0?void 0:oo.activeId:ho||((so=(io=RootAPI.getTabsterContext(this._tabster,ao))===null||io===void 0?void 0:io.modalizer)===null||so===void 0?void 0:so.userId),from:lo||ao,isBackward:po,acceptCondition:bo,hasCustomCondition:xo,includeProgrammaticallyFocusable:uo,ignoreAccessibility:fo,cachedGrouppers:{}},Eo=createElementTreeWalker(ao.ownerDocument,ao,To=>this._acceptElement(To,_o));if(!Eo)return null;const So=To=>{var wo,Co;const Oo=(wo=_o.foundElement)!==null&&wo!==void 0?wo:_o.foundBackward;return Oo&&vo.push(Oo),to?Oo&&(_o.found=!1,delete _o.foundElement,delete _o.foundBackward,delete _o.fromCtx,_o.from=Oo,go&&!go(Oo))?!1:!!(Oo||To):(Oo&&no&&(no.uncontrolled=(Co=RootAPI.getTabsterContext(this._tabster,Oo))===null||Co===void 0?void 0:Co.uncontrolled),!!(To&&!Oo))};if(lo||(no.outOfDOMOrder=!0),lo)Eo.currentNode=lo;else if(po){const To=getLastChild(ao);if(!To)return null;if(this._acceptElement(To,_o)===NodeFilter.FILTER_ACCEPT&&!So(!0))return _o.skippedFocusable&&(no.outOfDOMOrder=!0),vo;Eo.currentNode=To}do po?Eo.previousNode():Eo.nextNode();while(So());return _o.skippedFocusable&&(no.outOfDOMOrder=!0),vo.length?vo:null}_acceptElement(to,ro){var no,oo,io,so;if(ro.found)return NodeFilter.FILTER_ACCEPT;const ao=ro.foundBackward;if(ao&&(to===ao||!ao.contains(to)))return ro.found=!0,ro.foundElement=ao,NodeFilter.FILTER_ACCEPT;const lo=ro.container;if(to===lo)return NodeFilter.FILTER_SKIP;if(!lo.contains(to)||to.__tabsterDummyContainer||!((no=ro.rejectElementsFrom)===null||no===void 0)&&no.contains(to))return NodeFilter.FILTER_REJECT;const uo=ro.currentCtx=RootAPI.getTabsterContext(this._tabster,to);if(!uo)return NodeFilter.FILTER_SKIP;if(shouldIgnoreFocus(to))return this.isFocusable(to,void 0,!0,!0)&&(ro.skippedFocusable=!0),NodeFilter.FILTER_SKIP;if(!ro.hasCustomCondition&&(to.tagName==="IFRAME"||to.tagName==="WEBVIEW"))return((oo=uo.modalizer)===null||oo===void 0?void 0:oo.userId)===((io=this._tabster.modalizer)===null||io===void 0?void 0:io.activeId)?(ro.found=!0,ro.rejectElementsFrom=ro.foundElement=to,NodeFilter.FILTER_ACCEPT):NodeFilter.FILTER_REJECT;if(!ro.ignoreAccessibility&&!this.isAccessible(to))return this.isFocusable(to,!1,!0,!0)&&(ro.skippedFocusable=!0),NodeFilter.FILTER_REJECT;let co,fo=ro.fromCtx;fo||(fo=ro.fromCtx=RootAPI.getTabsterContext(this._tabster,ro.from));const ho=fo==null?void 0:fo.mover;let po=uo.groupper,go=uo.mover;if(co=(so=this._tabster.modalizer)===null||so===void 0?void 0:so.acceptElement(to,ro),co!==void 0&&(ro.skippedFocusable=!0),co===void 0&&(po||go||ho)){const vo=po==null?void 0:po.getElement(),bo=ho==null?void 0:ho.getElement();let xo=go==null?void 0:go.getElement();xo&&(bo!=null&&bo.contains(xo))&&lo.contains(bo)&&(!vo||!go||bo.contains(vo))&&(go=ho,xo=bo),vo&&(vo===lo||!lo.contains(vo))&&(po=void 0),xo&&!lo.contains(xo)&&(go=void 0),po&&go&&(xo&&vo&&!vo.contains(xo)?go=void 0:po=void 0),po&&(co=po.acceptElement(to,ro)),go&&(co=go.acceptElement(to,ro))}return co===void 0&&(co=ro.acceptCondition(to)?NodeFilter.FILTER_ACCEPT:NodeFilter.FILTER_SKIP,co===NodeFilter.FILTER_SKIP&&this.isFocusable(to,!1,!0,!0)&&(ro.skippedFocusable=!0)),co===NodeFilter.FILTER_ACCEPT&&!ro.found&&(ro.isBackward?(ro.foundBackward=to,co=NodeFilter.FILTER_SKIP):(ro.found=!0,ro.foundElement=to)),co}}/*!
+ * Copyright (c) Microsoft Corporation. All rights reserved.
+ * Licensed under the MIT License.
+ */const Keys={Tab:9,Enter:13,Esc:27,Space:32,PageUp:33,PageDown:34,End:35,Home:36,Left:37,Up:38,Right:39,Down:40};/*!
+ * Copyright (c) Microsoft Corporation. All rights reserved.
+ * Licensed under the MIT License.
+ */function getUncontrolledCompletelyContainer(eo,to){var ro;const no=eo.getParent;let oo=to;do{const io=(ro=getTabsterOnElement(eo,oo))===null||ro===void 0?void 0:ro.uncontrolled;if(io&&eo.uncontrolled.isUncontrolledCompletely(oo,!!io.completely))return oo;oo=no(oo)}while(oo)}class FocusedElementState extends Subscribable{constructor(to,ro){super(),this._init=()=>{const no=this._win(),oo=no.document;oo.addEventListener(KEYBORG_FOCUSIN,this._onFocusIn,!0),oo.addEventListener("focusout",this._onFocusOut,!0),no.addEventListener("keydown",this._onKeyDown,!0);const io=oo.activeElement;io&&io!==oo.body&&this._setFocusedElement(io),this.subscribe(this._onChanged)},this._onFocusIn=no=>{this._setFocusedElement(no.target,no.details.relatedTarget,no.details.isFocusedProgrammatically)},this._onFocusOut=no=>{this._setFocusedElement(void 0,no.relatedTarget)},this._validateFocusedElement=no=>{},this._onKeyDown=no=>{if(no.keyCode!==Keys.Tab||no.ctrlKey)return;const oo=this.getVal();if(!oo||!oo.ownerDocument||oo.contentEditable==="true")return;const io=this._tabster,so=io.controlTab,ao=RootAPI.getTabsterContext(io,oo);if(!ao||ao.ignoreKeydown(no))return;const lo=no.shiftKey,uo=FocusedElementState.findNextTabbable(io,ao,void 0,oo,void 0,lo,!0),co=ao.root.getElement();if(!co)return;const fo=uo==null?void 0:uo.element,ho=getUncontrolledCompletelyContainer(io,oo);if(fo){const po=uo.uncontrolled;if(ao.uncontrolled||po!=null&&po.contains(oo)){if(!uo.outOfDOMOrder&&po===ao.uncontrolled||ho&&!ho.contains(fo))return;DummyInputManager.addPhantomDummyWithTarget(io,oo,lo,fo);return}if(po||fo.tagName==="IFRAME"){triggerMoveFocusEvent({by:"root",owner:co,next:fo,relatedEvent:no})&&DummyInputManager.moveWithPhantomDummy(this._tabster,po??fo,!1,lo,no);return}(so||uo!=null&&uo.outOfDOMOrder)&&triggerMoveFocusEvent({by:"root",owner:co,next:fo,relatedEvent:no})&&(no.preventDefault(),no.stopImmediatePropagation(),nativeFocus(fo))}else!ho&&triggerMoveFocusEvent({by:"root",owner:co,next:null,relatedEvent:no})&&ao.root.moveOutWithDefaultAction(lo,no)},this._onChanged=(no,oo)=>{var io,so;if(no)triggerEvent(no,FocusInEventName,oo);else{const ao=(io=this._lastVal)===null||io===void 0?void 0:io.get();if(ao){const lo={...oo},uo=RootAPI.getTabsterContext(this._tabster,ao),co=(so=uo==null?void 0:uo.modalizer)===null||so===void 0?void 0:so.userId;co&&(lo.modalizerId=co),triggerEvent(ao,FocusOutEventName,lo)}}},this._tabster=to,this._win=ro,to.queueInit(this._init)}dispose(){super.dispose();const to=this._win();to.document.removeEventListener(KEYBORG_FOCUSIN,this._onFocusIn,!0),to.document.removeEventListener("focusout",this._onFocusOut,!0),to.removeEventListener("keydown",this._onKeyDown,!0),this.unsubscribe(this._onChanged),delete FocusedElementState._lastResetElement,delete this._nextVal,delete this._lastVal}static forgetMemorized(to,ro){var no,oo;let io=FocusedElementState._lastResetElement,so=io&&io.get();so&&ro.contains(so)&&delete FocusedElementState._lastResetElement,so=(oo=(no=to._nextVal)===null||no===void 0?void 0:no.element)===null||oo===void 0?void 0:oo.get(),so&&ro.contains(so)&&delete to._nextVal,io=to._lastVal,so=io&&io.get(),so&&ro.contains(so)&&delete to._lastVal}getFocusedElement(){return this.getVal()}getLastFocusedElement(){var to;let ro=(to=this._lastVal)===null||to===void 0?void 0:to.get();return(!ro||ro&&!documentContains(ro.ownerDocument,ro))&&(this._lastVal=ro=void 0),ro}focus(to,ro,no){return this._tabster.focusable.isFocusable(to,ro,!1,no)?(to.focus(),!0):!1}focusDefault(to){const ro=this._tabster.focusable.findDefault({container:to});return ro?(this._tabster.focusedElement.focus(ro),!0):!1}getFirstOrLastTabbable(to,ro){var no;const{container:oo,ignoreAccessibility:io}=ro;let so;if(oo){const ao=RootAPI.getTabsterContext(this._tabster,oo);ao&&(so=(no=FocusedElementState.findNextTabbable(this._tabster,ao,oo,void 0,void 0,!to,io))===null||no===void 0?void 0:no.element)}return so&&!(oo!=null&&oo.contains(so))&&(so=void 0),so||void 0}_focusFirstOrLast(to,ro){const no=this.getFirstOrLastTabbable(to,ro);return no?(this.focus(no,!1,!0),!0):!1}focusFirst(to){return this._focusFirstOrLast(!0,to)}focusLast(to){return this._focusFirstOrLast(!1,to)}resetFocus(to){if(!this._tabster.focusable.isVisible(to))return!1;if(this._tabster.focusable.isFocusable(to,!0,!0,!0))this.focus(to);else{const ro=to.getAttribute("tabindex"),no=to.getAttribute("aria-hidden");to.tabIndex=-1,to.setAttribute("aria-hidden","true"),FocusedElementState._lastResetElement=new WeakHTMLElement(this._win,to),this.focus(to,!0,!0),this._setOrRemoveAttribute(to,"tabindex",ro),this._setOrRemoveAttribute(to,"aria-hidden",no)}return!0}_setOrRemoveAttribute(to,ro,no){no===null?to.removeAttribute(ro):to.setAttribute(ro,no)}_setFocusedElement(to,ro,no){var oo,io;if(this._tabster._noop)return;const so={relatedTarget:ro};if(to){const lo=(oo=FocusedElementState._lastResetElement)===null||oo===void 0?void 0:oo.get();if(FocusedElementState._lastResetElement=void 0,lo===to||shouldIgnoreFocus(to))return;so.isFocusedProgrammatically=no;const uo=RootAPI.getTabsterContext(this._tabster,to),co=(io=uo==null?void 0:uo.modalizer)===null||io===void 0?void 0:io.userId;co&&(so.modalizerId=co)}const ao=this._nextVal={element:to?new WeakHTMLElement(this._win,to):void 0,details:so};to&&to!==this._val&&this._validateFocusedElement(to),this._nextVal===ao&&this.setVal(to,so),this._nextVal=void 0}setVal(to,ro){super.setVal(to,ro),to&&(this._lastVal=new WeakHTMLElement(this._win,to))}static findNextTabbable(to,ro,no,oo,io,so,ao){const lo=no||ro.root.getElement();if(!lo)return null;let uo=null;const co=FocusedElementState._isTabbingTimer,fo=to.getWindow();co&&fo.clearTimeout(co),FocusedElementState.isTabbing=!0,FocusedElementState._isTabbingTimer=fo.setTimeout(()=>{delete FocusedElementState._isTabbingTimer,FocusedElementState.isTabbing=!1},0);const ho=ro.modalizer,po=ro.groupper,go=ro.mover,vo=bo=>{var xo;if(uo=bo.findNextTabbable(oo,io,so,ao),oo&&!(uo!=null&&uo.element)){const _o=bo!==ho&&((xo=bo.getElement())===null||xo===void 0?void 0:xo.parentElement);if(_o){const Eo=RootAPI.getTabsterContext(to,oo,{referenceElement:_o});if(Eo){const So=bo.getElement(),To=so?So:So&&getLastChild(So)||So;To&&(uo=FocusedElementState.findNextTabbable(to,Eo,no,To,_o,so,ao),uo&&(uo.outOfDOMOrder=!0))}}}};if(po&&go)vo(ro.groupperBeforeMover?po:go);else if(po)vo(po);else if(go)vo(go);else if(ho)vo(ho);else{const bo={container:lo,currentElement:oo,referenceElement:io,ignoreAccessibility:ao,useActiveModalizer:!0},xo={};uo={element:to.focusable[so?"findPrev":"findNext"](bo,xo),outOfDOMOrder:xo.outOfDOMOrder,uncontrolled:xo.uncontrolled}}return uo}}FocusedElementState.isTabbing=!1;/*!
+ * Copyright (c) Microsoft Corporation. All rights reserved.
+ * Licensed under the MIT License.
+ */class GroupperDummyManager extends DummyInputManager{constructor(to,ro,no,oo){super(no,to,DummyInputManagerPriorities.Groupper,oo,!0),this._setHandlers((io,so,ao)=>{var lo,uo;const co=to.get(),fo=io.input;if(co&&fo){const ho=RootAPI.getTabsterContext(no,fo);if(ho){let po;po=(lo=ro.findNextTabbable(ao||void 0,void 0,so,!0))===null||lo===void 0?void 0:lo.element,po||(po=(uo=FocusedElementState.findNextTabbable(no,ho,void 0,io.isOutside?fo:getAdjacentElement(co,!so),void 0,so,!0))===null||uo===void 0?void 0:uo.element),po&&nativeFocus(po)}}})}}class Groupper extends TabsterPart{constructor(to,ro,no,oo,io){super(to,ro,oo),this._shouldTabInside=!1,this.makeTabbable(!1),this._onDispose=no,to.controlTab||(this.dummyManager=new GroupperDummyManager(this._element,this,to,io))}dispose(){var to;this._onDispose(this),this._element.get(),(to=this.dummyManager)===null||to===void 0||to.dispose(),delete this.dummyManager,delete this._first}findNextTabbable(to,ro,no,oo){var io;const so=this.getElement();if(!so)return null;const ao=((io=to==null?void 0:to.__tabsterDummyContainer)===null||io===void 0?void 0:io.get())===so;if(!this._shouldTabInside&&to&&so.contains(to)&&!ao)return{element:void 0,outOfDOMOrder:!0};const lo=this.getFirst(!0);if(!to||!so.contains(to)||ao)return{element:lo,outOfDOMOrder:!0};const uo=this._tabster;let co=null,fo=!1,ho;if(this._shouldTabInside&&lo){const po={container:so,currentElement:to,referenceElement:ro,ignoreAccessibility:oo,useActiveModalizer:!0},go={};co=uo.focusable[no?"findPrev":"findNext"](po,go),fo=!!go.outOfDOMOrder,!co&&this._props.tabbability===GroupperTabbabilities.LimitedTrapFocus&&(co=uo.focusable[no?"findLast":"findFirst"]({container:so,ignoreAccessibility:oo,useActiveModalizer:!0},go),fo=!0),ho=go.uncontrolled}return{element:co,uncontrolled:ho,outOfDOMOrder:fo}}makeTabbable(to){this._shouldTabInside=to||!this._props.tabbability}isActive(to){var ro;const no=this.getElement()||null;let oo=!0;for(let so=no==null?void 0:no.parentElement;so;so=so.parentElement){const ao=(ro=getTabsterOnElement(this._tabster,so))===null||ro===void 0?void 0:ro.groupper;ao&&(ao._shouldTabInside||(oo=!1))}let io=oo?this._props.tabbability?this._shouldTabInside:!1:void 0;if(io&&to){const so=this._tabster.focusedElement.getFocusedElement();so&&(io=so!==this.getFirst(!0))}return io}getFirst(to){var ro;const no=this.getElement();let oo;if(no){if(to&&this._tabster.focusable.isFocusable(no))return no;oo=(ro=this._first)===null||ro===void 0?void 0:ro.get(),oo||(oo=this._tabster.focusable.findFirst({container:no,useActiveModalizer:!0})||void 0,oo&&this.setFirst(oo))}return oo}setFirst(to){to?this._first=new WeakHTMLElement(this._tabster.getWindow,to):delete this._first}acceptElement(to,ro){var no;const oo=ro.cachedGrouppers,io=(no=this.getElement())===null||no===void 0?void 0:no.parentElement,so=io&&RootAPI.getTabsterContext(this._tabster,io),ao=so==null?void 0:so.groupper,lo=so!=null&&so.groupperBeforeMover?ao:void 0;let uo;const co=po=>{let go=oo[po.id],vo;return go?vo=go.isActive:(vo=this.isActive(!0),go=oo[po.id]={isActive:vo}),vo};if(lo&&(uo=lo.getElement(),!co(lo)&&uo&&ro.container!==uo&&ro.container.contains(uo)))return ro.skippedFocusable=!0,NodeFilter.FILTER_REJECT;const fo=co(this),ho=this.getElement();if(ho&&fo!==!0){if(ho===to&&ao&&(uo||(uo=ao.getElement()),uo&&!co(ao)&&ro.container.contains(uo)&&uo!==ro.container)||ho!==to&&ho.contains(to))return ro.skippedFocusable=!0,NodeFilter.FILTER_REJECT;const po=oo[this.id];let go;if("first"in po?go=po.first:go=po.first=this.getFirst(!0),go&&ro.acceptCondition(go))return ro.rejectElementsFrom=ho,ro.skippedFocusable=!0,go!==ro.from?(ro.found=!0,ro.foundElement=go,NodeFilter.FILTER_ACCEPT):NodeFilter.FILTER_REJECT}}}class GroupperAPI{constructor(to,ro){this._current={},this._grouppers={},this._init=()=>{const no=this._win();this._tabster.focusedElement.subscribeFirst(this._onFocus),no.document.addEventListener("mousedown",this._onMouseDown,!0),no.addEventListener("keydown",this._onKeyDown,!0)},this._onGroupperDispose=no=>{delete this._grouppers[no.id]},this._onFocus=no=>{no&&this._updateCurrent(no,!0,!0)},this._onMouseDown=no=>{no.target&&this._updateCurrent(no.target,!0)},this._onKeyDown=no=>{if(no.keyCode!==Keys.Enter&&no.keyCode!==Keys.Esc||no.ctrlKey||no.altKey||no.shiftKey||no.metaKey)return;const oo=this._tabster.focusedElement.getFocusedElement();oo&&this.handleKeyPress(oo,no)},this._tabster=to,this._win=ro,to.queueInit(this._init)}dispose(){const to=this._win();this._handleKeyPressTimer&&(to.clearTimeout(this._handleKeyPressTimer),delete this._handleKeyPressTimer),this._current={},this._updateTimer&&(to.clearTimeout(this._updateTimer),delete this._updateTimer),this._tabster.focusedElement.unsubscribe(this._onFocus),to.document.removeEventListener("mousedown",this._onMouseDown,!0),to.removeEventListener("keydown",this._onKeyDown,!0),Object.keys(this._grouppers).forEach(ro=>{this._grouppers[ro]&&(this._grouppers[ro].dispose(),delete this._grouppers[ro])})}createGroupper(to,ro,no){const oo=new Groupper(this._tabster,to,this._onGroupperDispose,ro,no);this._grouppers[oo.id]=oo;const io=this._tabster.focusedElement.getFocusedElement();return io&&to.contains(io)&&!this._updateTimer&&(this._updateTimer=this._win().setTimeout(()=>{delete this._updateTimer,io===this._tabster.focusedElement.getFocusedElement()&&this._updateCurrent(io,!0,!0)},0)),oo}forgetCurrentGrouppers(){this._current={}}_updateCurrent(to,ro,no){var oo;this._updateTimer&&(this._win().clearTimeout(this._updateTimer),delete this._updateTimer);const io={};let so=!0;for(let ao=to;ao;ao=ao.parentElement){const lo=(oo=getTabsterOnElement(this._tabster,ao))===null||oo===void 0?void 0:oo.groupper;if(lo){if(io[lo.id]=!0,so&&no&&ao!==to&&(so=!1),ro||!so){this._current[lo.id]=lo;const uo=lo.isActive()||to!==ao&&(!lo.getProps().delegated||lo.getFirst(!1)!==to);lo.makeTabbable(uo)}so=!1}}for(const ao of Object.keys(this._current)){const lo=this._current[ao];lo.id in io||(lo.makeTabbable(!1),lo.setFirst(void 0),delete this._current[ao])}}handleKeyPress(to,ro,no){const oo=this._tabster,io=RootAPI.getTabsterContext(oo,to),so=io==null?void 0:io.modalizerInGroupper;let ao=(io==null?void 0:io.groupper)||so;if(io&&ao){const lo=this._win();if(this._handleKeyPressTimer&&(lo.clearTimeout(this._handleKeyPressTimer),delete this._handleKeyPressTimer),io.ignoreKeydown(ro))return;let uo;const co=ao.getElement();if(ro.keyCode===Keys.Enter)co&&(to===co||ao.getProps().delegated&&to===ao.getFirst(!1))&&(uo=oo.focusable.findNext({container:co,currentElement:to,useActiveModalizer:!0})),uo&&co&&triggerMoveFocusEvent({by:"groupper",owner:co,next:uo,relatedEvent:ro})&&(ro.preventDefault(),ro.stopImmediatePropagation(),uo.focus());else if(ro.keyCode===Keys.Esc){const fo=oo.focusedElement.getFocusedElement();this._handleKeyPressTimer=lo.setTimeout(()=>{var ho;if(delete this._handleKeyPressTimer,fo===oo.focusedElement.getFocusedElement()&&ao&&co&&co.contains(to)){if(to!==co||no)uo=ao.getFirst(!0);else{const po=co.parentElement,go=po?RootAPI.getTabsterContext(oo,po):void 0;ao=go==null?void 0:go.groupper,uo=ao==null?void 0:ao.getFirst(!0)}uo&&triggerMoveFocusEvent({by:"groupper",owner:co,next:uo,relatedEvent:ro})&&(ao&&(ao.makeTabbable(!1),so&&((ho=oo.modalizer)===null||ho===void 0||ho.setActive(void 0))),uo.focus())}},0)}}}}/*!
+ * Copyright (c) Microsoft Corporation. All rights reserved.
+ * Licensed under the MIT License.
+ */class KeyboardNavigationState extends Subscribable{constructor(to){super(),this._onChange=ro=>{this.setVal(ro,void 0)},this._keyborg=createKeyborg(to()),this._keyborg.subscribe(this._onChange)}dispose(){super.dispose(),this._keyborg&&(this._keyborg.unsubscribe(this._onChange),disposeKeyborg(this._keyborg),delete this._keyborg)}setNavigatingWithKeyboard(to){var ro;(ro=this._keyborg)===null||ro===void 0||ro.setVal(to)}isNavigatingWithKeyboard(){var to;return!!(!((to=this._keyborg)===null||to===void 0)&&to.isNavigatingWithKeyboard())}}/*!
+ * Copyright (c) Microsoft Corporation. All rights reserved.
+ * Licensed under the MIT License.
+ */let _wasFocusedCounter=0;const _ariaHidden="aria-hidden";class ModalizerDummyManager extends DummyInputManager{constructor(to,ro,no){super(ro,to,DummyInputManagerPriorities.Modalizer,no),this._setHandlers((oo,io)=>{var so,ao,lo;const uo=to.get(),co=uo&&((so=RootAPI.getRoot(ro,uo))===null||so===void 0?void 0:so.getElement()),fo=oo.input;let ho;if(co&&fo){const po=(ao=fo.__tabsterDummyContainer)===null||ao===void 0?void 0:ao.get(),go=RootAPI.getTabsterContext(ro,po||fo);go&&(ho=(lo=FocusedElementState.findNextTabbable(ro,go,co,fo,void 0,io,!0))===null||lo===void 0?void 0:lo.element),ho&&nativeFocus(ho)}})}}class Modalizer extends TabsterPart{constructor(to,ro,no,oo,io,so){super(to,ro,oo),this._wasFocused=0,this.userId=oo.id,this._onDispose=no,this._activeElements=so,to.controlTab||(this.dummyManager=new ModalizerDummyManager(this._element,to,io))}makeActive(to){if(this._isActive!==to){this._isActive=to;const ro=this.getElement();if(ro){const no=this._activeElements,oo=no.map(io=>io.get()).indexOf(ro);to?oo<0&&no.push(new WeakHTMLElement(this._tabster.getWindow,ro)):oo>=0&&no.splice(oo,1)}this.triggerFocusEvent(to?ModalizerActiveEventName:ModalizerInactiveEventName)}}focused(to){return to||(this._wasFocused=++_wasFocusedCounter),this._wasFocused}setProps(to){to.id&&(this.userId=to.id),this._props={...to}}dispose(){var to;this.makeActive(!1),this._onDispose(this),(to=this.dummyManager)===null||to===void 0||to.dispose(),delete this.dummyManager,this._activeElements=[],this._remove()}isActive(){return!!this._isActive}contains(to){var ro;return!!(!((ro=this.getElement())===null||ro===void 0)&&ro.contains(to))}findNextTabbable(to,ro,no,oo){var io,so;if(!this.getElement())return null;const lo=this._tabster;let uo=null,co=!1,fo;const ho=to&&((io=RootAPI.getRoot(lo,to))===null||io===void 0?void 0:io.getElement());if(ho){const po={container:ho,currentElement:to,referenceElement:ro,ignoreAccessibility:oo,useActiveModalizer:!0},go={};uo=lo.focusable[no?"findPrev":"findNext"](po,go),!uo&&this._props.isTrapped&&(!((so=lo.modalizer)===null||so===void 0)&&so.activeId)?(uo=lo.focusable[no?"findLast":"findFirst"]({container:ho,ignoreAccessibility:oo,useActiveModalizer:!0},go),co=!0):co=!!go.outOfDOMOrder,fo=go.uncontrolled}return{element:uo,uncontrolled:fo,outOfDOMOrder:co}}triggerFocusEvent(to,ro){const no=this.getElement();let oo=!1;if(no){const io=ro?this._activeElements.map(so=>so.get()):[no];for(const so of io)so&&!triggerEvent(so,to,{id:this.userId,element:no,eventName:to})&&(oo=!0)}return oo}_remove(){}}class ModalizerAPI{constructor(to,ro,no){this._onModalizerDispose=io=>{const so=io.id,ao=io.userId,lo=this._parts[ao];delete this._modalizers[so],lo&&(delete lo[so],Object.keys(lo).length===0&&(delete this._parts[ao],this.activeId===ao&&this.setActive(void 0)))},this._onKeyDown=io=>{var so;if(io.keyCode!==Keys.Esc)return;const ao=this._tabster,lo=ao.focusedElement.getFocusedElement();if(lo){const uo=RootAPI.getTabsterContext(ao,lo),co=uo==null?void 0:uo.modalizer;if(uo&&!uo.groupper&&(co!=null&&co.isActive())&&!uo.ignoreKeydown(io)){const fo=co.userId;if(fo){const ho=this._parts[fo];if(ho){const po=Object.keys(ho).map(go=>{var vo;const bo=ho[go],xo=bo.getElement();let _o;return xo&&(_o=(vo=getTabsterOnElement(this._tabster,xo))===null||vo===void 0?void 0:vo.groupper),bo&&xo&&_o?{el:xo,focusedSince:bo.focused(!0)}:{focusedSince:0}}).filter(go=>go.focusedSince>0).sort((go,vo)=>go.focusedSince>vo.focusedSince?-1:go.focusedSince<vo.focusedSince?1:0);if(po.length){const go=po[0].el;go&&((so=ao.groupper)===null||so===void 0||so.handleKeyPress(go,io,!0))}}}}}},this._onFocus=(io,so)=>{var ao,lo;const uo=io&&RootAPI.getTabsterContext(this._tabster,io);if(!uo||!io)return;const co=this._augMap;for(let ho=io;ho;ho=ho.parentElement)co.has(ho)&&(co.delete(ho),augmentAttribute(this._tabster,ho,_ariaHidden));const fo=uo.modalizer;if((lo=fo||((ao=getTabsterOnElement(this._tabster,io))===null||ao===void 0?void 0:ao.modalizer))===null||lo===void 0||lo.focused(),(fo==null?void 0:fo.userId)===this.activeId){this.currentIsOthersAccessible=fo==null?void 0:fo.getProps().isOthersAccessible;return}if(so.isFocusedProgrammatically||this.currentIsOthersAccessible||fo!=null&&fo.getProps().isAlwaysAccessible)this.setActive(fo);else{const ho=this._win();ho.clearTimeout(this._restoreModalizerFocusTimer),this._restoreModalizerFocusTimer=ho.setTimeout(()=>this._restoreModalizerFocus(io),100)}},this._tabster=to,this._win=to.getWindow,this._modalizers={},this._parts={},this._augMap=new WeakMap,this._aug=[],this._alwaysAccessibleSelector=ro,this._accessibleCheck=no,this.activeElements=[],to.controlTab||to.root.addDummyInputs(),this._win().addEventListener("keydown",this._onKeyDown,!0),to.queueInit(()=>{this._tabster.focusedElement.subscribe(this._onFocus)})}dispose(){const to=this._win();to.removeEventListener("keydown",this._onKeyDown,!0),Object.keys(this._modalizers).forEach(ro=>{this._modalizers[ro]&&(this._modalizers[ro].dispose(),delete this._modalizers[ro])}),to.clearTimeout(this._restoreModalizerFocusTimer),to.clearTimeout(this._hiddenUpdateTimer),this._parts={},delete this.activeId,this.activeElements=[],this._augMap=new WeakMap,this._aug=[],this._tabster.focusedElement.unsubscribe(this._onFocus)}createModalizer(to,ro,no){var oo;const io=new Modalizer(this._tabster,to,this._onModalizerDispose,ro,no,this.activeElements),so=io.id,ao=ro.id;this._modalizers[so]=io;let lo=this._parts[ao];return lo||(lo=this._parts[ao]={}),lo[so]=io,to.contains((oo=this._tabster.focusedElement.getFocusedElement())!==null&&oo!==void 0?oo:null)&&(ao!==this.activeId?this.setActive(io):io.makeActive(!0)),io}isAugmented(to){return this._augMap.has(to)}hiddenUpdate(){this._hiddenUpdateTimer||(this._hiddenUpdateTimer=this._win().setTimeout(()=>{delete this._hiddenUpdateTimer,this._hiddenUpdate()},250))}setActive(to){const ro=to==null?void 0:to.userId,no=this.activeId;if(no!==ro){if(this.activeId=ro,no){const oo=this._parts[no];if(oo)for(const io of Object.keys(oo))oo[io].makeActive(!1)}if(ro){const oo=this._parts[ro];if(oo)for(const io of Object.keys(oo))oo[io].makeActive(!0)}this.currentIsOthersAccessible=to==null?void 0:to.getProps().isOthersAccessible,this.hiddenUpdate()}}focus(to,ro,no){const oo=RootAPI.getTabsterContext(this._tabster,to),io=oo==null?void 0:oo.modalizer;if(io){this.setActive(io);const so=io.getProps(),ao=io.getElement();if(ao){if(ro===void 0&&(ro=so.isNoFocusFirst),!ro&&this._tabster.keyboardNavigation.isNavigatingWithKeyboard()&&this._tabster.focusedElement.focusFirst({container:ao})||(no===void 0&&(no=so.isNoFocusDefault),!no&&this._tabster.focusedElement.focusDefault(ao)))return!0;this._tabster.focusedElement.resetFocus(ao)}}return!1}acceptElement(to,ro){var no;const oo=ro.modalizerUserId,io=(no=ro.currentCtx)===null||no===void 0?void 0:no.modalizer;if(oo)for(const ao of this.activeElements){const lo=ao.get();if(lo&&(to.contains(lo)||lo===to))return NodeFilter.FILTER_SKIP}const so=oo===(io==null?void 0:io.userId)||!oo&&(io!=null&&io.getProps().isAlwaysAccessible)?void 0:NodeFilter.FILTER_SKIP;return so!==void 0&&(ro.skippedFocusable=!0),so}_hiddenUpdate(){var to;const ro=this._tabster,no=ro.getWindow().document.body,oo=this.activeId,io=this._parts,so=[],ao=[],lo=this._alwaysAccessibleSelector,uo=lo?Array.from(no.querySelectorAll(lo)):[],co=[];for(const xo of Object.keys(io)){const _o=io[xo];for(const Eo of Object.keys(_o)){const So=_o[Eo],To=So.getElement(),Co=So.getProps().isAlwaysAccessible;To&&(xo===oo?(co.push(To),this.currentIsOthersAccessible||so.push(To)):Co?uo.push(To):ao.push(To))}}const fo=this._augMap,ho=so.length>0?[...so,...uo]:void 0,po=[],go=new WeakMap,vo=(xo,_o)=>{var Eo;const So=xo.tagName;if(So==="SCRIPT"||So==="STYLE")return;let To=!1;fo.has(xo)?_o?To=!0:(fo.delete(xo),augmentAttribute(ro,xo,_ariaHidden)):_o&&!(!((Eo=this._accessibleCheck)===null||Eo===void 0)&&Eo.call(this,xo,co))&&augmentAttribute(ro,xo,_ariaHidden,"true")&&(fo.set(xo,!0),To=!0),To&&(po.push(new WeakHTMLElement(ro.getWindow,xo)),go.set(xo,!0))},bo=xo=>{for(let _o=xo.firstElementChild;_o;_o=_o.nextElementSibling){let Eo=!1,So=!1;if(ho){for(const To of ho){if(_o===To){Eo=!0;break}if(_o.contains(To)){So=!0;break}}So?bo(_o):Eo||vo(_o,!0)}else vo(_o,!1)}};ho||uo.forEach(xo=>vo(xo,!1)),ao.forEach(xo=>vo(xo,!0)),no&&bo(no),(to=this._aug)===null||to===void 0||to.map(xo=>xo.get()).forEach(xo=>{xo&&!go.get(xo)&&vo(xo,!1)}),this._aug=po,this._augMap=go}_restoreModalizerFocus(to){const ro=to==null?void 0:to.ownerDocument;if(!to||!ro)return;const no=RootAPI.getTabsterContext(this._tabster,to),oo=no==null?void 0:no.modalizer,io=this.activeId;if(!oo&&!io||oo&&io===oo.userId)return;const so=no==null?void 0:no.root.getElement();if(so){let ao=this._tabster.focusable.findFirst({container:so,useActiveModalizer:!0});if(ao){if(to.compareDocumentPosition(ao)&document.DOCUMENT_POSITION_PRECEDING&&(ao=this._tabster.focusable.findLast({container:so,useActiveModalizer:!0}),!ao))throw new Error("Something went wrong.");this._tabster.focusedElement.focus(ao);return}}to.blur()}}/*!
+ * Copyright (c) Microsoft Corporation. All rights reserved.
+ * Licensed under the MIT License.
+ */const _inputSelector=["input","textarea","*[contenteditable]"].join(", ");class MoverDummyManager extends DummyInputManager{constructor(to,ro,no,oo){super(ro,to,DummyInputManagerPriorities.Mover,oo),this._onFocusDummyInput=io=>{var so,ao;const lo=this._element.get(),uo=io.input;if(lo&&uo){const co=RootAPI.getTabsterContext(this._tabster,lo);let fo;co&&(fo=(so=FocusedElementState.findNextTabbable(this._tabster,co,void 0,uo,void 0,!io.isFirst,!0))===null||so===void 0?void 0:so.element);const ho=(ao=this._getMemorized())===null||ao===void 0?void 0:ao.get();ho&&(fo=ho),fo&&nativeFocus(fo)}},this._tabster=ro,this._getMemorized=no,this._setHandlers(this._onFocusDummyInput)}}const _moverUpdateAdd=1,_moverUpdateAttr=2,_moverUpdateRemove=3;class Mover extends TabsterPart{constructor(to,ro,no,oo,io){var so;super(to,ro,oo),this._visible={},this._onIntersection=lo=>{for(const uo of lo){const co=uo.target,fo=getElementUId(this._win,co);let ho,po=this._fullyVisible;if(uo.intersectionRatio>=.25?(ho=uo.intersectionRatio>=.75?Visibilities.Visible:Visibilities.PartiallyVisible,ho===Visibilities.Visible&&(po=fo)):ho=Visibilities.Invisible,this._visible[fo]!==ho){ho===void 0?(delete this._visible[fo],po===fo&&delete this._fullyVisible):(this._visible[fo]=ho,this._fullyVisible=po);const go=this.getState(co);go&&triggerEvent(co,MoverEventName,go)}}},this._win=to.getWindow,this.visibilityTolerance=(so=oo.visibilityTolerance)!==null&&so!==void 0?so:.8,(this._props.trackState||this._props.visibilityAware)&&(this._intersectionObserver=new IntersectionObserver(this._onIntersection,{threshold:[0,.25,.5,.75,1]}),this._observeState()),this._onDispose=no;const ao=()=>oo.memorizeCurrent?this._current:void 0;to.controlTab||(this.dummyManager=new MoverDummyManager(this._element,to,ao,io))}dispose(){var to;this._onDispose(this),this._intersectionObserver&&(this._intersectionObserver.disconnect(),delete this._intersectionObserver),delete this._current,delete this._fullyVisible,delete this._allElements,delete this._updateQueue,this._unobserve&&(this._unobserve(),delete this._unobserve);const ro=this._win();this._setCurrentTimer&&(ro.clearTimeout(this._setCurrentTimer),delete this._setCurrentTimer),this._updateTimer&&(ro.clearTimeout(this._updateTimer),delete this._updateTimer),(to=this.dummyManager)===null||to===void 0||to.dispose(),delete this.dummyManager}setCurrent(to){to?this._current=new WeakHTMLElement(this._win,to):this._current=void 0,(this._props.trackState||this._props.visibilityAware)&&!this._setCurrentTimer&&(this._setCurrentTimer=this._win().setTimeout(()=>{var ro;delete this._setCurrentTimer;const no=[];this._current!==this._prevCurrent&&(no.push(this._current),no.push(this._prevCurrent),this._prevCurrent=this._current);for(const oo of no){const io=oo==null?void 0:oo.get();if(io&&((ro=this._allElements)===null||ro===void 0?void 0:ro.get(io))===this){const so=this._props;if(io&&(so.visibilityAware!==void 0||so.trackState)){const ao=this.getState(io);ao&&triggerEvent(io,MoverEventName,ao)}}}}))}getCurrent(){var to;return((to=this._current)===null||to===void 0?void 0:to.get())||null}findNextTabbable(to,ro,no,oo){var io;const so=this.getElement(),ao=so&&((io=to==null?void 0:to.__tabsterDummyContainer)===null||io===void 0?void 0:io.get())===so;if(!so)return null;let lo=null,uo=!1,co;if(this._props.tabbable||ao||to&&!so.contains(to)){const fo={currentElement:to,referenceElement:ro,container:so,ignoreAccessibility:oo,useActiveModalizer:!0},ho={};lo=this._tabster.focusable[no?"findPrev":"findNext"](fo,ho),uo=!!ho.outOfDOMOrder,co=ho.uncontrolled}return{element:lo,uncontrolled:co,outOfDOMOrder:uo}}acceptElement(to,ro){var no,oo,io;if(!FocusedElementState.isTabbing)return!((no=ro.currentCtx)===null||no===void 0)&&no.excludedFromMover?NodeFilter.FILTER_REJECT:void 0;const{memorizeCurrent:so,visibilityAware:ao,hasDefault:lo=!0}=this._props,uo=this.getElement();if(uo&&(so||ao||lo)&&(!uo.contains(ro.from)||((oo=ro.from.__tabsterDummyContainer)===null||oo===void 0?void 0:oo.get())===uo)){let co;if(so){const fo=(io=this._current)===null||io===void 0?void 0:io.get();fo&&ro.acceptCondition(fo)&&(co=fo)}if(!co&&lo&&(co=this._tabster.focusable.findDefault({container:uo,useActiveModalizer:!0})),!co&&ao&&(co=this._tabster.focusable.findElement({container:uo,useActiveModalizer:!0,isBackward:ro.isBackward,acceptCondition:fo=>{var ho;const po=getElementUId(this._win,fo),go=this._visible[po];return uo!==fo&&!!(!((ho=this._allElements)===null||ho===void 0)&&ho.get(fo))&&ro.acceptCondition(fo)&&(go===Visibilities.Visible||go===Visibilities.PartiallyVisible&&(ao===Visibilities.PartiallyVisible||!this._fullyVisible))}})),co)return ro.found=!0,ro.foundElement=co,ro.rejectElementsFrom=uo,ro.skippedFocusable=!0,NodeFilter.FILTER_ACCEPT}}_observeState(){const to=this.getElement();if(this._unobserve||!to||typeof MutationObserver>"u")return;const ro=this._win(),no=this._allElements=new WeakMap,oo=this._tabster.focusable;let io=this._updateQueue=[];const so=new MutationObserver(po=>{for(const go of po){const vo=go.target,bo=go.removedNodes,xo=go.addedNodes;if(go.type==="attributes")go.attributeName==="tabindex"&&io.push({element:vo,type:_moverUpdateAttr});else{for(let _o=0;_o<bo.length;_o++)io.push({element:bo[_o],type:_moverUpdateRemove});for(let _o=0;_o<xo.length;_o++)io.push({element:xo[_o],type:_moverUpdateAdd})}}fo()}),ao=(po,go)=>{var vo,bo;const xo=no.get(po);xo&&go&&((vo=this._intersectionObserver)===null||vo===void 0||vo.unobserve(po),no.delete(po)),!xo&&!go&&(no.set(po,this),(bo=this._intersectionObserver)===null||bo===void 0||bo.observe(po))},lo=po=>{const go=oo.isFocusable(po);no.get(po)?go||ao(po,!0):go&&ao(po)},uo=po=>{const{mover:go}=ho(po);if(go&&go!==this)if(go.getElement()===po&&oo.isFocusable(po))ao(po);else return;const vo=createElementTreeWalker(ro.document,po,bo=>{const{mover:xo,groupper:_o}=ho(bo);if(xo&&xo!==this)return NodeFilter.FILTER_REJECT;const Eo=_o==null?void 0:_o.getFirst(!0);return _o&&_o.getElement()!==bo&&Eo&&Eo!==bo?NodeFilter.FILTER_REJECT:(oo.isFocusable(bo)&&ao(bo),NodeFilter.FILTER_SKIP)});if(vo)for(vo.currentNode=po;vo.nextNode(););},co=po=>{no.get(po)&&ao(po,!0);for(let vo=po.firstElementChild;vo;vo=vo.nextElementSibling)co(vo)},fo=()=>{!this._updateTimer&&io.length&&(this._updateTimer=ro.setTimeout(()=>{delete this._updateTimer;for(const{element:po,type:go}of io)switch(go){case _moverUpdateAttr:lo(po);break;case _moverUpdateAdd:uo(po);break;case _moverUpdateRemove:co(po);break}io=this._updateQueue=[]},0))},ho=po=>{const go={};for(let vo=po;vo;vo=vo.parentElement){const bo=getTabsterOnElement(this._tabster,vo);if(bo&&(bo.groupper&&!go.groupper&&(go.groupper=bo.groupper),bo.mover)){go.mover=bo.mover;break}}return go};io.push({element:to,type:_moverUpdateAdd}),fo(),so.observe(to,{childList:!0,subtree:!0,attributes:!0,attributeFilter:["tabindex"]}),this._unobserve=()=>{so.disconnect()}}getState(to){const ro=getElementUId(this._win,to);if(ro in this._visible){const no=this._visible[ro]||Visibilities.Invisible;return{isCurrent:this._current?this._current.get()===to:void 0,visibility:no}}}}function getDistance(eo,to,ro,no,oo,io,so,ao){const lo=ro<oo?oo-ro:so<eo?eo-so:0,uo=no<io?io-no:ao<to?to-ao:0;return lo===0?uo:uo===0?lo:Math.sqrt(lo*lo+uo*uo)}class MoverAPI{constructor(to,ro){this._init=()=>{this._win().addEventListener("keydown",this._onKeyDown,!0),this._tabster.focusedElement.subscribe(this._onFocus)},this._onMoverDispose=no=>{delete this._movers[no.id]},this._onFocus=no=>{var oo;let io=no,so=no;for(let ao=no==null?void 0:no.parentElement;ao;ao=ao.parentElement){const lo=(oo=getTabsterOnElement(this._tabster,ao))===null||oo===void 0?void 0:oo.mover;lo&&(lo.setCurrent(so),io=void 0),!io&&this._tabster.focusable.isFocusable(ao)&&(io=so=ao)}},this._onKeyDown=async no=>{var oo,io,so,ao;this._ignoredInputTimer&&(this._win().clearTimeout(this._ignoredInputTimer),delete this._ignoredInputTimer),(oo=this._ignoredInputResolve)===null||oo===void 0||oo.call(this,!1);let lo=no.keyCode;if(no.ctrlKey||no.altKey||no.shiftKey||no.metaKey)return;switch(lo){case Keys.Down:case Keys.Right:case Keys.Up:case Keys.Left:case Keys.PageDown:case Keys.PageUp:case Keys.Home:case Keys.End:break;default:return}const uo=this._tabster,co=uo.focusedElement.getFocusedElement();if(!co||await this._isIgnoredInput(co,lo))return;const fo=RootAPI.getTabsterContext(uo,co,{checkRtl:!0});if(!fo||!fo.mover||fo.excludedFromMover||fo.ignoreKeydown(no))return;const ho=fo.mover,po=ho.getElement();if(fo.groupperBeforeMover){const Mo=fo.groupper;if(Mo&&!Mo.isActive(!0)){for(let Do=(io=Mo.getElement())===null||io===void 0?void 0:io.parentElement;Do&&Do!==po;Do=Do.parentElement)if(!((ao=(so=getTabsterOnElement(uo,Do))===null||so===void 0?void 0:so.groupper)===null||ao===void 0)&&ao.isActive(!0))return}else return}if(!po)return;const go=uo.focusable,vo=ho.getProps(),bo=vo.direction||MoverDirections.Both,xo=bo===MoverDirections.Both,_o=xo||bo===MoverDirections.Vertical,Eo=xo||bo===MoverDirections.Horizontal,So=bo===MoverDirections.GridLinear,To=So||bo===MoverDirections.Grid,wo=vo.cyclic;let Co,Oo,Ao,Ro=0,No=0;if(To&&(Ao=co.getBoundingClientRect(),Ro=Math.ceil(Ao.left),No=Math.floor(Ao.right)),fo.rtl&&(lo===Keys.Right?lo=Keys.Left:lo===Keys.Left&&(lo=Keys.Right)),lo===Keys.Down&&_o||lo===Keys.Right&&(Eo||To))if(Co=go.findNext({currentElement:co,container:po,useActiveModalizer:!0}),Co&&To){const Mo=Math.ceil(Co.getBoundingClientRect().left);!So&&No>Mo&&(Co=void 0)}else!Co&&wo&&(Co=go.findFirst({container:po,useActiveModalizer:!0}));else if(lo===Keys.Up&&_o||lo===Keys.Left&&(Eo||To))if(Co=go.findPrev({currentElement:co,container:po,useActiveModalizer:!0}),Co&&To){const Mo=Math.floor(Co.getBoundingClientRect().right);!So&&Mo>Ro&&(Co=void 0)}else!Co&&wo&&(Co=go.findLast({container:po,useActiveModalizer:!0}));else if(lo===Keys.Home)To?go.findElement({container:po,currentElement:co,useActiveModalizer:!0,isBackward:!0,acceptCondition:Mo=>{var Do;if(!go.isFocusable(Mo))return!1;const jo=Math.ceil((Do=Mo.getBoundingClientRect().left)!==null&&Do!==void 0?Do:0);return Mo!==co&&Ro<=jo?!0:(Co=Mo,!1)}}):Co=go.findFirst({container:po,useActiveModalizer:!0});else if(lo===Keys.End)To?go.findElement({container:po,currentElement:co,useActiveModalizer:!0,acceptCondition:Mo=>{var Do;if(!go.isFocusable(Mo))return!1;const jo=Math.ceil((Do=Mo.getBoundingClientRect().left)!==null&&Do!==void 0?Do:0);return Mo!==co&&Ro>=jo?!0:(Co=Mo,!1)}}):Co=go.findLast({container:po,useActiveModalizer:!0});else if(lo===Keys.PageUp){if(go.findElement({currentElement:co,container:po,useActiveModalizer:!0,isBackward:!0,acceptCondition:Mo=>go.isFocusable(Mo)?isElementVerticallyVisibleInContainer(this._win,Mo,ho.visibilityTolerance)?(Co=Mo,!1):!0:!1}),To&&Co){const Mo=Math.ceil(Co.getBoundingClientRect().left);go.findElement({currentElement:Co,container:po,useActiveModalizer:!0,acceptCondition:Do=>{if(!go.isFocusable(Do))return!1;const jo=Math.ceil(Do.getBoundingClientRect().left);return Ro<jo||Mo>=jo?!0:(Co=Do,!1)}})}Oo=!1}else if(lo===Keys.PageDown){if(go.findElement({currentElement:co,container:po,useActiveModalizer:!0,acceptCondition:Mo=>go.isFocusable(Mo)?isElementVerticallyVisibleInContainer(this._win,Mo,ho.visibilityTolerance)?(Co=Mo,!1):!0:!1}),To&&Co){const Mo=Math.ceil(Co.getBoundingClientRect().left);go.findElement({currentElement:Co,container:po,useActiveModalizer:!0,isBackward:!0,acceptCondition:Do=>{if(!go.isFocusable(Do))return!1;const jo=Math.ceil(Do.getBoundingClientRect().left);return Ro>jo||Mo<=jo?!0:(Co=Do,!1)}})}Oo=!0}else if(To){const Mo=lo===Keys.Up,Do=Ro,jo=Math.ceil(Ao.top),Fo=No,$o=Math.floor(Ao.bottom);let Lo,Ho,qo=0;go.findAll({container:po,currentElement:co,isBackward:Mo,onElement:Uo=>{const Yo=Uo.getBoundingClientRect(),Zo=Math.ceil(Yo.left),_s=Math.ceil(Yo.top),Ss=Math.floor(Yo.right),As=Math.floor(Yo.bottom);if(Mo&&jo<As||!Mo&&$o>_s)return!0;const Ns=Math.ceil(Math.min(Fo,Ss))-Math.floor(Math.max(Do,Zo)),ws=Math.ceil(Math.min(Fo-Do,Ss-Zo));if(Ns>0&&ws>=Ns){const Ds=Ns/ws;Ds>qo&&(Lo=Uo,qo=Ds)}else if(qo===0){const Ds=getDistance(Do,jo,Fo,$o,Zo,_s,Ss,As);(Ho===void 0||Ds<Ho)&&(Ho=Ds,Lo=Uo)}else if(qo>0)return!1;return!0}}),Co=Lo}Co&&triggerMoveFocusEvent({by:"mover",owner:po,next:Co,relatedEvent:no})&&(Oo!==void 0&&scrollIntoView$4(this._win,Co,Oo),no.preventDefault(),no.stopImmediatePropagation(),nativeFocus(Co))},this._tabster=to,this._win=ro,this._movers={},to.queueInit(this._init)}dispose(){var to;const ro=this._win();this._tabster.focusedElement.unsubscribe(this._onFocus),(to=this._ignoredInputResolve)===null||to===void 0||to.call(this,!1),this._ignoredInputTimer&&(ro.clearTimeout(this._ignoredInputTimer),delete this._ignoredInputTimer),ro.removeEventListener("keydown",this._onKeyDown,!0),Object.keys(this._movers).forEach(no=>{this._movers[no]&&(this._movers[no].dispose(),delete this._movers[no])})}createMover(to,ro,no){const oo=new Mover(this._tabster,to,this._onMoverDispose,ro,no);return this._movers[oo.id]=oo,oo}async _isIgnoredInput(to,ro){var no;if(to.getAttribute("aria-expanded")==="true"&&to.hasAttribute("aria-activedescendant"))return!0;if(matchesSelector(to,_inputSelector)){let oo=0,io=0,so=0,ao;if(to.tagName==="INPUT"||to.tagName==="TEXTAREA"){const lo=to.type;if(so=(to.value||"").length,lo==="email"||lo==="number"){if(so){const co=(no=to.ownerDocument.defaultView)===null||no===void 0?void 0:no.getSelection();if(co){const fo=co.toString().length,ho=ro===Keys.Left||ro===Keys.Up;if(co.modify("extend",ho?"backward":"forward","character"),fo!==co.toString().length)return co.modify("extend",ho?"forward":"backward","character"),!0;so=0}}}else{const co=to.selectionStart;if(co===null)return lo==="hidden";oo=co||0,io=to.selectionEnd||0}}else to.contentEditable==="true"&&(ao=new(getPromise(this._win))(lo=>{this._ignoredInputResolve=go=>{delete this._ignoredInputResolve,lo(go)};const uo=this._win();this._ignoredInputTimer&&uo.clearTimeout(this._ignoredInputTimer);const{anchorNode:co,focusNode:fo,anchorOffset:ho,focusOffset:po}=uo.getSelection()||{};this._ignoredInputTimer=uo.setTimeout(()=>{var go,vo,bo;delete this._ignoredInputTimer;const{anchorNode:xo,focusNode:_o,anchorOffset:Eo,focusOffset:So}=uo.getSelection()||{};if(xo!==co||_o!==fo||Eo!==ho||So!==po){(go=this._ignoredInputResolve)===null||go===void 0||go.call(this,!1);return}if(oo=Eo||0,io=So||0,so=((vo=to.textContent)===null||vo===void 0?void 0:vo.length)||0,xo&&_o&&to.contains(xo)&&to.contains(_o)&&xo!==to){let To=!1;const wo=Co=>{if(Co===xo)To=!0;else if(Co===_o)return!0;const Oo=Co.textContent;if(Oo&&!Co.firstChild){const Ro=Oo.length;To?_o!==xo&&(io+=Ro):(oo+=Ro,io+=Ro)}let Ao=!1;for(let Ro=Co.firstChild;Ro&&!Ao;Ro=Ro.nextSibling)Ao=wo(Ro);return Ao};wo(to)}(bo=this._ignoredInputResolve)===null||bo===void 0||bo.call(this,!0)},0)}));if(ao&&!await ao||oo!==io||oo>0&&(ro===Keys.Left||ro===Keys.Up||ro===Keys.Home)||oo<so&&(ro===Keys.Right||ro===Keys.Down||ro===Keys.End))return!0}return!1}}/*!
+ * Copyright (c) Microsoft Corporation. All rights reserved.
+ * Licensed under the MIT License.
+ */function observeMutations(eo,to,ro,no){if(typeof MutationObserver>"u")return()=>{};const oo=to.getWindow;let io;const so=co=>{var fo,ho,po,go,vo;for(const bo of co){const xo=bo.target,_o=bo.removedNodes,Eo=bo.addedNodes;if(bo.type==="attributes")bo.attributeName===TabsterAttributeName&&ro(to,xo);else{for(let So=0;So<_o.length;So++)ao(_o[So],!0),(ho=(fo=to._dummyObserver).domChanged)===null||ho===void 0||ho.call(fo,xo);for(let So=0;So<Eo.length;So++)ao(Eo[So]),(go=(po=to._dummyObserver).domChanged)===null||go===void 0||go.call(po,xo)}}(vo=to.modalizer)===null||vo===void 0||vo.hiddenUpdate()};function ao(co,fo){io||(io=getInstanceContext(oo).elementByUId),lo(co,fo);const ho=createElementTreeWalker(eo,co,po=>lo(po,fo));if(ho)for(;ho.nextNode(););}function lo(co,fo){var ho;if(!co.getAttribute)return NodeFilter.FILTER_SKIP;const po=co.__tabsterElementUID;return po&&io&&(fo?delete io[po]:(ho=io[po])!==null&&ho!==void 0||(io[po]=new WeakHTMLElement(oo,co))),(getTabsterOnElement(to,co)||co.hasAttribute(TabsterAttributeName))&&ro(to,co,fo),NodeFilter.FILTER_SKIP}const uo=new MutationObserver(so);return no&&ao(oo().document.body),uo.observe(eo,{childList:!0,subtree:!0,attributes:!0,attributeFilter:[TabsterAttributeName]}),()=>{uo.disconnect()}}/*!
+ * Copyright (c) Microsoft Corporation. All rights reserved.
+ * Licensed under the MIT License.
+ */class UncontrolledAPI{constructor(to){this._isUncontrolledCompletely=to}isUncontrolledCompletely(to,ro){var no;const oo=(no=this._isUncontrolledCompletely)===null||no===void 0?void 0:no.call(this,to,ro);return oo===void 0?ro:oo}}/*!
+ * Copyright (c) Microsoft Corporation. All rights reserved.
+ * Licensed under the MIT License.
+ */const EVENT_NAME="restorer:restorefocus",HISOTRY_DEPTH=10;class Restorer extends TabsterPart{constructor(to,ro,no){var oo;if(super(to,ro,no),this._hasFocus=!1,this._onFocusOut=io=>{var so;const ao=(so=this._element)===null||so===void 0?void 0:so.get();ao&&io.relatedTarget===null&&ao.dispatchEvent(new Event(EVENT_NAME,{bubbles:!0})),ao&&!ao.contains(io.relatedTarget)&&(this._hasFocus=!1)},this._onFocusIn=()=>{this._hasFocus=!0},this._props.type===RestorerTypes.Source){const io=(oo=this._element)===null||oo===void 0?void 0:oo.get();io==null||io.addEventListener("focusout",this._onFocusOut),io==null||io.addEventListener("focusin",this._onFocusIn)}}dispose(){var to,ro;if(this._props.type===RestorerTypes.Source){const no=(to=this._element)===null||to===void 0?void 0:to.get();no==null||no.removeEventListener("focusout",this._onFocusOut),no==null||no.removeEventListener("focusin",this._onFocusIn),this._hasFocus&&((ro=this._tabster.getWindow().document.body)===null||ro===void 0||ro.dispatchEvent(new Event(EVENT_NAME,{bubbles:!0})))}}}class RestorerAPI{constructor(to){this._history=[],this._restoreFocusTimeout=0,this._onRestoreFocus=ro=>{const no=this._getWindow();this._restoreFocusTimeout&&no.clearTimeout(this._restoreFocusTimeout),this._restoreFocusTimeout=no.setTimeout(()=>this._restoreFocus(ro.target))},this._onFocusIn=ro=>{var no;if(!ro)return;const oo=getTabsterOnElement(this._tabster,ro);((no=oo==null?void 0:oo.restorer)===null||no===void 0?void 0:no.getProps().type)===RestorerTypes.Target&&this._addToHistory(ro)},this._restoreFocus=ro=>{var no,oo,io;const so=this._getWindow().document;if(so.activeElement!==so.body||!this._keyboardNavState.isNavigatingWithKeyboard()&&so.body.contains(ro))return;let ao=this._history.pop();for(;ao&&!so.body.contains((oo=(no=ao.get())===null||no===void 0?void 0:no.parentElement)!==null&&oo!==void 0?oo:null);)ao=this._history.pop();(io=ao==null?void 0:ao.get())===null||io===void 0||io.focus()},this._tabster=to,this._getWindow=to.getWindow,this._getWindow().addEventListener(EVENT_NAME,this._onRestoreFocus),this._keyboardNavState=to.keyboardNavigation,this._focusedElementState=to.focusedElement,this._focusedElementState.subscribe(this._onFocusIn)}dispose(){const to=this._getWindow();this._focusedElementState.unsubscribe(this._onFocusIn),to.removeEventListener(EVENT_NAME,this._onRestoreFocus),this._restoreFocusTimeout&&to.clearTimeout(this._restoreFocusTimeout)}_addToHistory(to){var ro;((ro=this._history[this._history.length-1])===null||ro===void 0?void 0:ro.get())!==to&&(this._history.length>HISOTRY_DEPTH&&this._history.shift(),this._history.push(new WeakHTMLElement(this._getWindow,to)))}createRestorer(to,ro){const no=new Restorer(this._tabster,to,ro);return ro.type===RestorerTypes.Target&&to.ownerDocument.activeElement===to&&this._addToHistory(to),no}}/*!
+ * Copyright (c) Microsoft Corporation. All rights reserved.
+ * Licensed under the MIT License.
+ */class Tabster{constructor(to){this.keyboardNavigation=to.keyboardNavigation,this.focusedElement=to.focusedElement,this.focusable=to.focusable,this.root=to.root,this.uncontrolled=to.uncontrolled,this.core=to}}class TabsterCore{constructor(to,ro){var no,oo;this._forgetMemorizedElements=[],this._wrappers=new Set,this._initQueue=[],this._version="5.2.0",this._noop=!1,this.getWindow=()=>{if(!this._win)throw new Error("Using disposed Tabster.");return this._win},this._storage=createWeakMap(to),this._win=to;const io=this.getWindow;this.keyboardNavigation=new KeyboardNavigationState(io),this.focusedElement=new FocusedElementState(this,io),this.focusable=new FocusableAPI(this),this.root=new RootAPI(this,ro==null?void 0:ro.autoRoot),this.uncontrolled=new UncontrolledAPI((ro==null?void 0:ro.checkUncontrolledCompletely)||(ro==null?void 0:ro.checkUncontrolledTrappingFocus)),this.controlTab=(no=ro==null?void 0:ro.controlTab)!==null&&no!==void 0?no:!0,this.rootDummyInputs=!!(ro!=null&&ro.rootDummyInputs),this._dummyObserver=new DummyInputObserver(io),this.getParent=(oo=ro==null?void 0:ro.getParent)!==null&&oo!==void 0?oo:so=>so.parentElement,this.internal={stopObserver:()=>{this._unobserve&&(this._unobserve(),delete this._unobserve)},resumeObserver:so=>{if(!this._unobserve){const ao=io().document;this._unobserve=observeMutations(ao,this,updateTabsterByAttribute,so)}}},startFakeWeakRefsCleanup(io),this.queueInit(()=>{this.internal.resumeObserver(!0)})}_mergeProps(to){var ro;to&&(this.getParent=(ro=to.getParent)!==null&&ro!==void 0?ro:this.getParent)}createTabster(to,ro){const no=new Tabster(this);return to||this._wrappers.add(no),this._mergeProps(ro),no}disposeTabster(to,ro){ro?this._wrappers.clear():this._wrappers.delete(to),this._wrappers.size===0&&this.dispose()}dispose(){var to,ro,no,oo,io,so,ao,lo;this.internal.stopObserver();const uo=this._win;uo==null||uo.clearTimeout(this._initTimer),delete this._initTimer,this._initQueue=[],this._forgetMemorizedElements=[],uo&&this._forgetMemorizedTimer&&(uo.clearTimeout(this._forgetMemorizedTimer),delete this._forgetMemorizedTimer),(to=this.outline)===null||to===void 0||to.dispose(),(ro=this.crossOrigin)===null||ro===void 0||ro.dispose(),(no=this.deloser)===null||no===void 0||no.dispose(),(oo=this.groupper)===null||oo===void 0||oo.dispose(),(io=this.mover)===null||io===void 0||io.dispose(),(so=this.modalizer)===null||so===void 0||so.dispose(),(ao=this.observedElement)===null||ao===void 0||ao.dispose(),(lo=this.restorer)===null||lo===void 0||lo.dispose(),this.keyboardNavigation.dispose(),this.focusable.dispose(),this.focusedElement.dispose(),this.root.dispose(),this._dummyObserver.dispose(),stopFakeWeakRefsCleanupAndClearStorage(this.getWindow),clearElementCache(this.getWindow),this._storage=new WeakMap,this._wrappers.clear(),uo&&(disposeInstanceContext(uo),delete uo.__tabsterInstance,delete this._win)}storageEntry(to,ro){const no=this._storage;let oo=no.get(to);return oo?ro===!1&&Object.keys(oo).length===0&&no.delete(to):ro===!0&&(oo={},no.set(to,oo)),oo}forceCleanup(){this._win&&(this._forgetMemorizedElements.push(this._win.document.body),!this._forgetMemorizedTimer&&(this._forgetMemorizedTimer=this._win.setTimeout(()=>{delete this._forgetMemorizedTimer;for(let to=this._forgetMemorizedElements.shift();to;to=this._forgetMemorizedElements.shift())clearElementCache(this.getWindow,to),FocusedElementState.forgetMemorized(this.focusedElement,to)},0),cleanupFakeWeakRefs(this.getWindow,!0)))}queueInit(to){var ro;this._win&&(this._initQueue.push(to),this._initTimer||(this._initTimer=(ro=this._win)===null||ro===void 0?void 0:ro.setTimeout(()=>{delete this._initTimer,this.drainInitQueue()},0)))}drainInitQueue(){if(!this._win)return;const to=this._initQueue;this._initQueue=[],to.forEach(ro=>ro())}}function createTabster(eo,to){let ro=getCurrentTabster(eo);return ro?ro.createTabster(!1,to):(ro=new TabsterCore(eo,to),eo.__tabsterInstance=ro,ro.createTabster())}function getGroupper(eo){const to=eo.core;return to.groupper||(to.groupper=new GroupperAPI(to,to.getWindow)),to.groupper}function getMover(eo){const to=eo.core;return to.mover||(to.mover=new MoverAPI(to,to.getWindow)),to.mover}function getModalizer(eo,to,ro){const no=eo.core;return no.modalizer||(no.modalizer=new ModalizerAPI(no,to,ro)),no.modalizer}function getRestorer(eo){const to=eo.core;return to.restorer||(to.restorer=new RestorerAPI(to)),to.restorer}function disposeTabster(eo,to){eo.core.disposeTabster(eo,to)}function getCurrentTabster(eo){return eo.__tabsterInstance}const useTabster=()=>{const{targetDocument:eo}=useFluent(),to=(eo==null?void 0:eo.defaultView)||void 0,ro=reactExports.useMemo(()=>to?createTabster(to,{autoRoot:{},controlTab:!1,getParent:getParent$1,checkUncontrolledTrappingFocus:no=>{var oo;return!!(!((oo=no.firstElementChild)===null||oo===void 0)&&oo.hasAttribute("data-is-focus-trap-zone-bumper"))}}):null,[to]);return useIsomorphicLayoutEffect$1(()=>()=>{ro&&disposeTabster(ro)},[ro]),ro},useTabsterAttributes=eo=>(useTabster(),getTabsterAttribute(eo)),useArrowNavigationGroup=(eo={})=>{const{circular:to,axis:ro,memorizeCurrent:no,tabbable:oo,ignoreDefaultKeydown:io,unstable_hasDefault:so}=eo,ao=useTabster();return ao&&getMover(ao),useTabsterAttributes({mover:{cyclic:!!to,direction:axisToMoverDirection(ro??"vertical"),memorizeCurrent:no,tabbable:oo,hasDefault:so},...io&&{focusable:{ignoreKeydown:io}}})};function axisToMoverDirection(eo){switch(eo){case"horizontal":return Types.MoverDirections.Horizontal;case"grid":return Types.MoverDirections.Grid;case"grid-linear":return Types.MoverDirections.GridLinear;case"both":return Types.MoverDirections.Both;case"vertical":default:return Types.MoverDirections.Vertical}}const useFocusableGroup=eo=>{const to=useTabster();return to&&getGroupper(to),useTabsterAttributes({groupper:{tabbability:getTabbability(eo==null?void 0:eo.tabBehavior)},focusable:{ignoreKeydown:eo==null?void 0:eo.ignoreDefaultKeydown}})},getTabbability=eo=>{switch(eo){case"unlimited":return Types.GroupperTabbabilities.Unlimited;case"limited":return Types.GroupperTabbabilities.Limited;case"limited-trap-focus":return Types.GroupperTabbabilities.LimitedTrapFocus;default:return}},useFocusFinders=()=>{const eo=useTabster(),{targetDocument:to}=useFluent(),ro=reactExports.useCallback((ao,lo)=>(eo==null?void 0:eo.focusable.findAll({container:ao,acceptCondition:lo}))||[],[eo]),no=reactExports.useCallback(ao=>eo==null?void 0:eo.focusable.findFirst({container:ao}),[eo]),oo=reactExports.useCallback(ao=>eo==null?void 0:eo.focusable.findLast({container:ao}),[eo]),io=reactExports.useCallback((ao,lo={})=>{if(!eo||!to)return null;const{container:uo=to.body}=lo;return eo.focusable.findNext({currentElement:ao,container:uo})},[eo,to]),so=reactExports.useCallback((ao,lo={})=>{if(!eo||!to)return null;const{container:uo=to.body}=lo;return eo.focusable.findPrev({currentElement:ao,container:uo})},[eo,to]);return{findAllFocusable:ro,findFirstFocusable:no,findLastFocusable:oo,findNextFocusable:io,findPrevFocusable:so}},FOCUS_VISIBLE_ATTR="data-fui-focus-visible",FOCUS_WITHIN_ATTR="data-fui-focus-within";function applyFocusVisiblePolyfill(eo,to){if(alreadyInScope(eo))return()=>{};const ro={current:void 0},no=createKeyborg(to);function oo(lo){no.isNavigatingWithKeyboard()&&isHTMLElement$6(lo)&&(ro.current=lo,lo.setAttribute(FOCUS_VISIBLE_ATTR,""))}function io(){ro.current&&(ro.current.removeAttribute(FOCUS_VISIBLE_ATTR),ro.current=void 0)}no.subscribe(lo=>{lo||io()});const so=lo=>{io();const uo=lo.composedPath()[0];oo(uo)},ao=lo=>{(!lo.relatedTarget||isHTMLElement$6(lo.relatedTarget)&&!eo.contains(lo.relatedTarget))&&io()};return eo.addEventListener(KEYBORG_FOCUSIN,so),eo.addEventListener("focusout",ao),eo.focusVisible=!0,oo(to.document.activeElement),()=>{io(),eo.removeEventListener(KEYBORG_FOCUSIN,so),eo.removeEventListener("focusout",ao),delete eo.focusVisible,disposeKeyborg(no)}}function alreadyInScope(eo){return eo?eo.focusVisible?!0:alreadyInScope(eo==null?void 0:eo.parentElement):!1}function useFocusVisible(eo={}){const to=useFluent(),ro=reactExports.useRef(null);var no;const oo=(no=eo.targetDocument)!==null&&no!==void 0?no:to.targetDocument;return reactExports.useEffect(()=>{if(oo!=null&&oo.defaultView&&ro.current)return applyFocusVisiblePolyfill(ro.current,oo.defaultView)},[ro,oo]),ro}function applyFocusWithinPolyfill(eo,to){const ro=createKeyborg(to);ro.subscribe(io=>{io||removeFocusWithinClass(eo)});const no=io=>{ro.isNavigatingWithKeyboard()&&isHTMLElement$5(io.target)&&applyFocusWithinClass(eo)},oo=io=>{(!io.relatedTarget||isHTMLElement$5(io.relatedTarget)&&!eo.contains(io.relatedTarget))&&removeFocusWithinClass(eo)};return eo.addEventListener(KEYBORG_FOCUSIN,no),eo.addEventListener("focusout",oo),()=>{eo.removeEventListener(KEYBORG_FOCUSIN,no),eo.removeEventListener("focusout",oo),disposeKeyborg(ro)}}function applyFocusWithinClass(eo){eo.setAttribute(FOCUS_WITHIN_ATTR,"")}function removeFocusWithinClass(eo){eo.removeAttribute(FOCUS_WITHIN_ATTR)}function isHTMLElement$5(eo){return eo?!!(eo&&typeof eo=="object"&&"classList"in eo&&"contains"in eo):!1}function useFocusWithin(){const{targetDocument:eo}=useFluent(),to=reactExports.useRef(null);return reactExports.useEffect(()=>{if(eo!=null&&eo.defaultView&&to.current)return applyFocusWithinPolyfill(to.current,eo.defaultView)},[to,eo]),to}const useModalAttributes=(eo={})=>{const{trapFocus:to,alwaysFocusable:ro,legacyTrapFocus:no}=eo,oo=useTabster();oo&&(getModalizer(oo),getRestorer(oo));const io=useId$1("modal-",eo.id),so=useTabsterAttributes({restorer:{type:Types.RestorerTypes.Source},...to&&{modalizer:{id:io,isOthersAccessible:!to,isAlwaysAccessible:ro,isTrapped:no&&to}}}),ao=useTabsterAttributes({restorer:{type:Types.RestorerTypes.Target}});return{modalAttributes:so,triggerAttributes:ao}},grey={2:"#050505",4:"#0a0a0a",6:"#0f0f0f",8:"#141414",10:"#1a1a1a",12:"#1f1f1f",14:"#242424",16:"#292929",18:"#2e2e2e",20:"#333333",22:"#383838",24:"#3d3d3d",26:"#424242",28:"#474747",30:"#4d4d4d",32:"#525252",34:"#575757",36:"#5c5c5c",38:"#616161",40:"#666666",42:"#6b6b6b",44:"#707070",46:"#757575",48:"#7a7a7a",50:"#808080",52:"#858585",54:"#8a8a8a",56:"#8f8f8f",58:"#949494",60:"#999999",62:"#9e9e9e",64:"#a3a3a3",66:"#a8a8a8",68:"#adadad",70:"#b3b3b3",72:"#b8b8b8",74:"#bdbdbd",76:"#c2c2c2",78:"#c7c7c7",80:"#cccccc",82:"#d1d1d1",84:"#d6d6d6",86:"#dbdbdb",88:"#e0e0e0",90:"#e6e6e6",92:"#ebebeb",94:"#f0f0f0",96:"#f5f5f5",98:"#fafafa"},whiteAlpha={5:"rgba(255, 255, 255, 0.05)",10:"rgba(255, 255, 255, 0.1)",20:"rgba(255, 255, 255, 0.2)",30:"rgba(255, 255, 255, 0.3)",40:"rgba(255, 255, 255, 0.4)",50:"rgba(255, 255, 255, 0.5)",60:"rgba(255, 255, 255, 0.6)",70:"rgba(255, 255, 255, 0.7)",80:"rgba(255, 255, 255, 0.8)",90:"rgba(255, 255, 255, 0.9)"},blackAlpha={5:"rgba(0, 0, 0, 0.05)",10:"rgba(0, 0, 0, 0.1)",20:"rgba(0, 0, 0, 0.2)",30:"rgba(0, 0, 0, 0.3)",40:"rgba(0, 0, 0, 0.4)",50:"rgba(0, 0, 0, 0.5)",60:"rgba(0, 0, 0, 0.6)",70:"rgba(0, 0, 0, 0.7)",80:"rgba(0, 0, 0, 0.8)",90:"rgba(0, 0, 0, 0.9)"},grey10Alpha={5:"rgba(26, 26, 26, 0.05)",10:"rgba(26, 26, 26, 0.1)",20:"rgba(26, 26, 26, 0.2)",30:"rgba(26, 26, 26, 0.3)",40:"rgba(26, 26, 26, 0.4)",50:"rgba(26, 26, 26, 0.5)",60:"rgba(26, 26, 26, 0.6)",70:"rgba(26, 26, 26, 0.7)",80:"rgba(26, 26, 26, 0.8)",90:"rgba(26, 26, 26, 0.9)"},grey12Alpha={5:"rgba(31, 31, 31, 0.05)",10:"rgba(31, 31, 31, 0.1)",20:"rgba(31, 31, 31, 0.2)",30:"rgba(31, 31, 31, 0.3)",40:"rgba(31, 31, 31, 0.4)",50:"rgba(31, 31, 31, 0.5)",60:"rgba(31, 31, 31, 0.6)",70:"rgba(31, 31, 31, 0.7)",80:"rgba(31, 31, 31, 0.8)",90:"rgba(31, 31, 31, 0.9)"},grey14Alpha={5:"rgba(36, 36, 36, 0.05)",10:"rgba(36, 36, 36, 0.1)",20:"rgba(36, 36, 36, 0.2)",30:"rgba(36, 36, 36, 0.3)",40:"rgba(36, 36, 36, 0.4)",50:"rgba(36, 36, 36, 0.5)",60:"rgba(36, 36, 36, 0.6)",70:"rgba(36, 36, 36, 0.7)",80:"rgba(36, 36, 36, 0.8)",90:"rgba(36, 36, 36, 0.9)"},white="#ffffff",black="#000000",darkRed={shade50:"#130204",shade40:"#230308",shade30:"#420610",shade20:"#590815",shade10:"#690a19",primary:"#750b1c",tint10:"#861b2c",tint20:"#962f3f",tint30:"#ac4f5e",tint40:"#d69ca5",tint50:"#e9c7cd",tint60:"#f9f0f2"},cranberry={shade50:"#200205",shade40:"#3b0509",shade30:"#6e0811",shade20:"#960b18",shade10:"#b10e1c",primary:"#c50f1f",tint10:"#cc2635",tint20:"#d33f4c",tint30:"#dc626d",tint40:"#eeacb2",tint50:"#f6d1d5",tint60:"#fdf3f4"},red={shade50:"#210809",shade40:"#3f1011",shade30:"#751d1f",shade20:"#9f282b",shade10:"#bc2f32",primary:"#d13438",tint10:"#d7494c",tint20:"#dc5e62",tint30:"#e37d80",tint40:"#f1bbbc",tint50:"#f8dadb",tint60:"#fdf6f6"},darkOrange={shade50:"#230900",shade40:"#411200",shade30:"#7a2101",shade20:"#a62d01",shade10:"#c43501",primary:"#da3b01",tint10:"#de501c",tint20:"#e36537",tint30:"#e9835e",tint40:"#f4bfab",tint50:"#f9dcd1",tint60:"#fdf6f3"},pumpkin={shade50:"#200d03",shade40:"#3d1805",shade30:"#712d09",shade20:"#9a3d0c",shade10:"#b6480e",primary:"#ca5010",tint10:"#d06228",tint20:"#d77440",tint30:"#df8e64",tint40:"#efc4ad",tint50:"#f7dfd2",tint60:"#fdf7f4"},orange={shade50:"#271002",shade40:"#4a1e04",shade30:"#8a3707",shade20:"#bc4b09",shade10:"#de590b",primary:"#f7630c",tint10:"#f87528",tint20:"#f98845",tint30:"#faa06b",tint40:"#fdcfb4",tint50:"#fee5d7",tint60:"#fff9f5"},peach={shade50:"#291600",shade40:"#4d2a00",shade30:"#8f4e00",shade20:"#c26a00",shade10:"#e67e00",primary:"#ff8c00",tint10:"#ff9a1f",tint20:"#ffa83d",tint30:"#ffba66",tint40:"#ffddb3",tint50:"#ffedd6",tint60:"#fffaf5"},marigold={shade50:"#251a00",shade40:"#463100",shade30:"#835b00",shade20:"#b27c00",shade10:"#d39300",primary:"#eaa300",tint10:"#edad1c",tint20:"#efb839",tint30:"#f2c661",tint40:"#f9e2ae",tint50:"#fcefd3",tint60:"#fefbf4"},yellow={primary:"#fde300",shade10:"#e4cc00",shade20:"#c0ad00",shade30:"#817400",shade40:"#4c4400",shade50:"#282400",tint10:"#fde61e",tint20:"#fdea3d",tint30:"#feee66",tint40:"#fef7b2",tint50:"#fffad6",tint60:"#fffef5"},gold={shade50:"#1f1900",shade40:"#3a2f00",shade30:"#6c5700",shade20:"#937700",shade10:"#ae8c00",primary:"#c19c00",tint10:"#c8a718",tint20:"#d0b232",tint30:"#dac157",tint40:"#ecdfa5",tint50:"#f5eece",tint60:"#fdfbf2"},brass={shade50:"#181202",shade40:"#2e2103",shade30:"#553e06",shade20:"#745408",shade10:"#89640a",primary:"#986f0b",tint10:"#a47d1e",tint20:"#b18c34",tint30:"#c1a256",tint40:"#e0cea2",tint50:"#efe4cb",tint60:"#fbf8f2"},brown={shade50:"#170e07",shade40:"#2b1a0e",shade30:"#50301a",shade20:"#6c4123",shade10:"#804d29",primary:"#8e562e",tint10:"#9c663f",tint20:"#a97652",tint30:"#bb8f6f",tint40:"#ddc3b0",tint50:"#edded3",tint60:"#faf7f4"},forest={shade50:"#0c1501",shade40:"#162702",shade30:"#294903",shade20:"#376304",shade10:"#427505",primary:"#498205",tint10:"#599116",tint20:"#6ba02b",tint30:"#85b44c",tint40:"#bdd99b",tint50:"#dbebc7",tint60:"#f6faf0"},seafoam={shade50:"#002111",shade40:"#003d20",shade30:"#00723b",shade20:"#009b51",shade10:"#00b85f",primary:"#00cc6a",tint10:"#19d279",tint20:"#34d889",tint30:"#5ae0a0",tint40:"#a8f0cd",tint50:"#cff7e4",tint60:"#f3fdf8"},lightGreen={shade50:"#031a02",shade40:"#063004",shade30:"#0b5a08",shade20:"#0e7a0b",shade10:"#11910d",primary:"#13a10e",tint10:"#27ac22",tint20:"#3db838",tint30:"#5ec75a",tint40:"#a7e3a5",tint50:"#cef0cd",tint60:"#f2fbf2"},green={shade50:"#031403",shade40:"#052505",shade30:"#094509",shade20:"#0c5e0c",shade10:"#0e700e",primary:"#107c10",tint10:"#218c21",tint20:"#359b35",tint30:"#54b054",tint40:"#9fd89f",tint50:"#c9eac9",tint60:"#f1faf1"},darkGreen={shade50:"#021102",shade40:"#032003",shade30:"#063b06",shade20:"#085108",shade10:"#0a5f0a",primary:"#0b6a0b",tint10:"#1a7c1a",tint20:"#2d8e2d",tint30:"#4da64d",tint40:"#9ad29a",tint50:"#c6e7c6",tint60:"#f0f9f0"},lightTeal={shade50:"#001d1f",shade40:"#00373a",shade30:"#00666d",shade20:"#008b94",shade10:"#00a5af",primary:"#00b7c3",tint10:"#18bfca",tint20:"#32c8d1",tint30:"#58d3db",tint40:"#a6e9ed",tint50:"#cef3f5",tint60:"#f2fcfd"},teal={shade50:"#001516",shade40:"#012728",shade30:"#02494c",shade20:"#026467",shade10:"#037679",primary:"#038387",tint10:"#159195",tint20:"#2aa0a4",tint30:"#4cb4b7",tint40:"#9bd9db",tint50:"#c7ebec",tint60:"#f0fafa"},steel={shade50:"#000f12",shade40:"#001b22",shade30:"#00333f",shade20:"#004555",shade10:"#005265",primary:"#005b70",tint10:"#0f6c81",tint20:"#237d92",tint30:"#4496a9",tint40:"#94c8d4",tint50:"#c3e1e8",tint60:"#eff7f9"},blue={shade50:"#001322",shade40:"#002440",shade30:"#004377",shade20:"#005ba1",shade10:"#006cbf",primary:"#0078d4",tint10:"#1a86d9",tint20:"#3595de",tint30:"#5caae5",tint40:"#a9d3f2",tint50:"#d0e7f8",tint60:"#f3f9fd"},royalBlue={shade50:"#000c16",shade40:"#00172a",shade30:"#002c4e",shade20:"#003b6a",shade10:"#00467e",primary:"#004e8c",tint10:"#125e9a",tint20:"#286fa8",tint30:"#4a89ba",tint40:"#9abfdc",tint50:"#c7dced",tint60:"#f0f6fa"},cornflower={shade50:"#0d1126",shade40:"#182047",shade30:"#2c3c85",shade20:"#3c51b4",shade10:"#4760d5",primary:"#4f6bed",tint10:"#637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ro=to.slice(0,1).toUpperCase()+to.slice(1),no={[`colorPalette${ro}Background1`]:statusSharedColors[to].tint60,[`colorPalette${ro}Background2`]:statusSharedColors[to].tint40,[`colorPalette${ro}Background3`]:statusSharedColors[to].primary,[`colorPalette${ro}Foreground1`]:statusSharedColors[to].shade10,[`colorPalette${ro}Foreground2`]:statusSharedColors[to].shade30,[`colorPalette${ro}Foreground3`]:statusSharedColors[to].primary,[`colorPalette${ro}BorderActive`]:statusSharedColors[to].primary,[`colorPalette${ro}Border1`]:statusSharedColors[to].tint40,[`colorPalette${ro}Border2`]:statusSharedColors[to].primary};return Object.assign(eo,no)},{});statusColorPaletteTokens$1.colorPaletteYellowForeground1=statusSharedColors.yellow.shade30;statusColorPaletteTokens$1.colorPaletteRedForegroundInverted=statusSharedColors.red.tint20;statusColorPaletteTokens$1.colorPaletteGreenForegroundInverted=statusSharedColors.green.tint20;statusColorPaletteTokens$1.colorPaletteYellowForegroundInverted=statusSharedColors.yellow.tint40;const personaColorPaletteTokens$1=personaSharedColorNames.reduce((eo,to)=>{const ro=to.slice(0,1).toUpperCase()+to.slice(1),no={[`colorPalette${ro}Background2`]:personaSharedColors[to].tint40,[`colorPalette${ro}Foreground2`]:personaSharedColors[to].shade30,[`colorPalette${ro}BorderActive`]:personaSharedColors[to].primary};return Object.assign(eo,no)},{}),colorPaletteTokens$1={...statusColorPaletteTokens$1,...personaColorPaletteTokens$1},colorStatusTokens$1=Object.entries(statusColorMapping).reduce((eo,[to,ro])=>{const no=to.slice(0,1).toUpperCase()+to.slice(1),oo={[`colorStatus${no}Background1`]:mappedStatusColors[ro].tint60,[`colorStatus${no}Background2`]:mappedStatusColors[ro].tint40,[`colorStatus${no}Background3`]:mappedStatusColors[ro].primary,[`colorStatus${no}Foreground1`]:mappedStatusColors[ro].shade10,[`colorStatus${no}Foreground2`]:mappedStatusColors[ro].shade30,[`colorStatus${no}Foreground3`]:mappedStatusColors[ro].primary,[`colorStatus${no}ForegroundInverted`]:mappedStatusColors[ro].tint30,[`colorStatus${no}BorderActive`]:mappedStatusColors[ro].primary,[`colorStatus${no}Border1`]:mappedStatusColors[ro].tint40,[`colorStatus${no}Border2`]:mappedStatusColors[ro].primary};return Object.assign(eo,oo)},{});colorStatusTokens$1.colorStatusWarningForeground1=mappedStatusColors[statusColorMapping.warning].shade20;colorStatusTokens$1.colorStatusWarningForeground3=mappedStatusColors[statusColorMapping.warning].shade20;colorStatusTokens$1.colorStatusWarningBorder2=mappedStatusColors[statusColorMapping.warning].shade20;const generateColorTokens$1=eo=>({colorNeutralForeground1:grey[14],colorNeutralForeground1Hover:grey[14],colorNeutralForeground1Pressed:grey[14],colorNeutralForeground1Selected:grey[14],colorNeutralForeground2:grey[26],colorNeutralForeground2Hover:grey[14],colorNeutralForeground2Pressed:grey[14],colorNeutralForeground2Selected:grey[14],colorNeutralForeground2BrandHover:eo[80],colorNeutralForeground2BrandPressed:eo[70],colorNeutralForeground2BrandSelected:eo[80],colorNeutralForeground3:grey[38],colorNeutralForeground3Hover:grey[26],colorNeutralForeground3Pressed:grey[26],colorNeutralForeground3Selected:grey[26],colorNeutralForeground3BrandHover:eo[80],colorNeutralForeground3BrandPressed:eo[70],colorNeutralForeground3BrandSelected:eo[80],colorNeutralForeground4:grey[44],colorNeutralForegroundDisabled:grey[74],colorNeutralForegroundInvertedDisabled:whiteAlpha[40],colorBrandForegroundLink:eo[70],colorBrandForegroundLinkHover:eo[60],colorBrandForegroundLinkPressed:eo[40],colorBrandForegroundLinkSelected:eo[70],colorNeutralForeground2Link:grey[26],colorNeutralForeground2LinkHover:grey[14],colorNeutralForeground2LinkPressed:grey[14],colorNeutralForeground2LinkSelected:grey[14],colorCompoundBrandForeground1:eo[80],colorCompoundBrandForeground1Hover:eo[70],colorCompoundBrandForeground1Pressed:eo[60],colorBrandForeground1:eo[80],colorBrandForeground2:eo[70],colorBrandForeground2Hover:eo[60],colorBrandForeground2Pressed:eo[30],colorNeutralForeground1Static:grey[14],colorNeutralForegroundStaticInverted:white,colorNeutralForegroundInverted:white,colorNeutralForegroundInvertedHover:white,colorNeutralForegroundInvertedPressed:white,colorNeutralForegroundInvertedSelected:white,colorNeutralForegroundInverted2:white,colorNeutralForegroundOnBrand:white,colorNeutralForegroundInvertedLink:white,colorNeutralForegroundInvertedLinkHover:white,colorNeutralForegroundInvertedLinkPressed:white,colorNeutralForegroundInvertedLinkSelected:white,colorBrandForegroundInverted:eo[100],colorBrandForegroundInvertedHover:eo[110],colorBrandForegroundInvertedPressed:eo[100],colorBrandForegroundOnLight:eo[80],colorBrandForegroundOnLightHover:eo[70],colorBrandForegroundOnLightPressed:eo[50],colorBrandForegroundOnLightSelected:eo[60],colorNeutralBackground1:white,colorNeutralBackground1Hover:grey[96],colorNeutralBackground1Pressed:grey[88],colorNeutralBackground1Selected:grey[92],colorNeutralBackground2:grey[98],colorNeutralBackground2Hover:grey[94],colorNeutralBackground2Pressed:grey[86],colorNeutralBackground2Selected:grey[90],colorNeutralBackground3:grey[96],colorNeutralBackground3Hover:grey[92],colorNeutralBackground3Pressed:grey[84],colorNeutralBackground3Selected:grey[88],colorNeutralBackground4:grey[94],colorNeutralBackground4Hover:grey[98],colorNeutralBackground4Pressed:grey[96],colorNeutralBackground4Selected:white,colorNeutralBackground5:grey[92],colorNeutralBackground5Hover:grey[96],colorNeutralBackground5Pressed:grey[94],colorNeutralBackground5Selected:grey[98],colorNeutralBackground6:grey[90],colorNeutralBackgroundInverted:grey[16],colorNeutralBackgroundStatic:grey[20],colorNeutralBackgroundAlpha:whiteAlpha[50],colorNeutralBackgroundAlpha2:whiteAlpha[80],colorSubtleBackground:"transparent",colorSubtleBackgroundHover:grey[96],colorSubtleBackgroundPressed:grey[88],colorSubtleBackgroundSelected:grey[92],colorSubtleBackgroundLightAlphaHover:whiteAlpha[70],colorSubtleBackgroundLightAlphaPressed:whiteAlpha[50],colorSubtleBackgroundLightAlphaSelected:"transparent",colorSubtleBackgroundInverted:"transparent",colorSubtleBackgroundInvertedHover:blackAlpha[10],colorSubtleBackgroundInvertedPressed:blackAlpha[30],colorSubtleBackgroundInvertedSelected:blackAlpha[20],colorTransparentBackground:"transparent",colorTransparentBackgroundHover:"transparent",colorTransparentBackgroundPressed:"transparent",colorTransparentBackgroundSelected:"transparent",colorNeutralBackgroundDisabled:grey[94],colorNeutralBackgroundInvertedDisabled:whiteAlpha[10],colorNeutralStencil1:grey[90],colorNeutralStencil2:grey[98],colorNeutralStencil1Alpha:blackAlpha[10],colorNeutralStencil2Alpha:blackAlpha[5],colorBackgroundOverlay:blackAlpha[40],colorScrollbarOverlay:blackAlpha[50],colorBrandBackground:eo[80],colorBrandBackgroundHover:eo[70],colorBrandBackgroundPressed:eo[40],colorBrandBackgroundSelected:eo[60],colorCompoundBrandBackground:eo[80],colorCompoundBrandBackgroundHover:eo[70],colorCompoundBrandBackgroundPressed:eo[60],colorBrandBackgroundStatic:eo[80],colorBrandBackground2:eo[160],colorBrandBackground2Hover:eo[150],colorBrandBackground2Pressed:eo[130],colorBrandBackgroundInverted:white,colorBrandBackgroundInvertedHover:eo[160],colorBrandBackgroundInvertedPressed:eo[140],colorBrandBackgroundInvertedSelected:eo[150],colorNeutralStrokeAccessible:grey[38],colorNeutralStrokeAccessibleHover:grey[34],colorNeutralStrokeAccessiblePressed:grey[30],colorNeutralStrokeAccessibleSelected:eo[80],colorNeutralStroke1:grey[82],colorNeutralStroke1Hover:grey[78],colorNeutralStroke1Pressed:grey[70],colorNeutralStroke1Selected:grey[74],colorNeutralStroke2:grey[88],colorNeutralStroke3:grey[94],colorNeutralStrokeSubtle:grey[88],colorNeutralStrokeOnBrand:white,colorNeutralStrokeOnBrand2:white,colorNeutralStrokeOnBrand2Hover:white,colorNeutralStrokeOnBrand2Pressed:white,colorNeutralStrokeOnBrand2Selected:white,colorBrandStroke1:eo[80],colorBrandStroke2:eo[140],colorBrandStroke2Hover:eo[120],colorBrandStroke2Pressed:eo[80],colorBrandStroke2Contrast:eo[140],colorCompoundBrandStroke:eo[80],colorCompoundBrandStrokeHover:eo[70],colorCompoundBrandStrokePressed:eo[60],colorNeutralStrokeDisabled:grey[88],colorNeutralStrokeInvertedDisabled:whiteAlpha[40],colorTransparentStroke:"transparent",colorTransparentStrokeInteractive:"transparent",colorTransparentStrokeDisabled:"transparent",colorNeutralStrokeAlpha:blackAlpha[5],colorNeutralStrokeAlpha2:whiteAlpha[20],colorStrokeFocus1:white,colorStrokeFocus2:black,colorNeutralShadowAmbient:"rgba(0,0,0,0.12)",colorNeutralShadowKey:"rgba(0,0,0,0.14)",colorNeutralShadowAmbientLighter:"rgba(0,0,0,0.06)",colorNeutralShadowKeyLighter:"rgba(0,0,0,0.07)",colorNeutralShadowAmbientDarker:"rgba(0,0,0,0.20)",colorNeutralShadowKeyDarker:"rgba(0,0,0,0.24)",colorBrandShadowAmbient:"rgba(0,0,0,0.30)",colorBrandShadowKey:"rgba(0,0,0,0.25)"}),borderRadius={borderRadiusNone:"0",borderRadiusSmall:"2px",borderRadiusMedium:"4px",borderRadiusLarge:"6px",borderRadiusXLarge:"8px",borderRadiusCircular:"10000px"},curves={curveAccelerateMax:"cubic-bezier(0.9,0.1,1,0.2)",curveAccelerateMid:"cubic-bezier(1,0,1,1)",curveAccelerateMin:"cubic-bezier(0.8,0,0.78,1)",curveDecelerateMax:"cubic-bezier(0.1,0.9,0.2,1)",curveDecelerateMid:"cubic-bezier(0,0,0,1)",curveDecelerateMin:"cubic-bezier(0.33,0,0.1,1)",curveEasyEaseMax:"cubic-bezier(0.8,0,0.2,1)",curveEasyEase:"cubic-bezier(0.33,0,0.67,1)",curveLinear:"cubic-bezier(0,0,1,1)"},durations={durationUltraFast:"50ms",durationFaster:"100ms",durationFast:"150ms",durationNormal:"200ms",durationGentle:"250ms",durationSlow:"300ms",durationSlower:"400ms",durationUltraSlow:"500ms"},fontSizes={fontSizeBase100:"10px",fontSizeBase200:"12px",fontSizeBase300:"14px",fontSizeBase400:"16px",fontSizeBase500:"20px",fontSizeBase600:"24px",fontSizeHero700:"28px",fontSizeHero800:"32px",fontSizeHero900:"40px",fontSizeHero1000:"68px"},lineHeights={lineHeightBase100:"14px",lineHeightBase200:"16px",lineHeightBase300:"20px",lineHeightBase400:"22px",lineHeightBase500:"28px",lineHeightBase600:"32px",lineHeightHero700:"36px",lineHeightHero800:"40px",lineHeightHero900:"52px",lineHeightHero1000:"92px"},fontWeights={fontWeightRegular:400,fontWeightMedium:500,fontWeightSemibold:600,fontWeightBold:700},fontFamilies={fontFamilyBase:"'Segoe UI', 'Segoe UI Web (West European)', -apple-system, BlinkMacSystemFont, Roboto, 'Helvetica Neue', sans-serif",fontFamilyMonospace:"Consolas, 'Courier New', Courier, monospace",fontFamilyNumeric:"Bahnschrift, 'Segoe UI', 'Segoe UI Web (West European)', -apple-system, BlinkMacSystemFont, Roboto, 'Helvetica Neue', sans-serif"},spacings={none:"0",xxs:"2px",xs:"4px",sNudge:"6px",s:"8px",mNudge:"10px",m:"12px",l:"16px",xl:"20px",xxl:"24px",xxxl:"32px"},horizontalSpacings={spacingHorizontalNone:spacings.none,spacingHorizontalXXS:spacings.xxs,spacingHorizontalXS:spacings.xs,spacingHorizontalSNudge:spacings.sNudge,spacingHorizontalS:spacings.s,spacingHorizontalMNudge:spacings.mNudge,spacingHorizontalM:spacings.m,spacingHorizontalL:spacings.l,spacingHorizontalXL:spacings.xl,spacingHorizontalXXL:spacings.xxl,spacingHorizontalXXXL:spacings.xxxl},verticalSpacings={spacingVerticalNone:spacings.none,spacingVerticalXXS:spacings.xxs,spacingVerticalXS:spacings.xs,spacingVerticalSNudge:spacings.sNudge,spacingVerticalS:spacings.s,spacingVerticalMNudge:spacings.mNudge,spacingVerticalM:spacings.m,spacingVerticalL:spacings.l,spacingVerticalXL:spacings.xl,spacingVerticalXXL:spacings.xxl,spacingVerticalXXXL:spacings.xxxl},strokeWidths={strokeWidthThin:"1px",strokeWidthThick:"2px",strokeWidthThicker:"3px",strokeWidthThickest:"4px"},tokens={colorNeutralForeground1:"var(--colorNeutralForeground1)",colorNeutralForeground1Hover:"var(--colorNeutralForeground1Hover)",colorNeutralForeground1Pressed:"var(--colorNeutralForeground1Pressed)",colorNeutralForeground1Selected:"var(--colorNeutralForeground1Selected)",colorNeutralForeground2:"var(--colorNeutralForeground2)",colorNeutralForeground2Hover:"var(--colorNeutralForeground2Hover)",colorNeutralForeground2Pressed:"var(--colorNeutralForeground2Pressed)",colorNeutralForeground2Selected:"var(--colorNeutralForeground2Selected)",colorNeutralForeground2BrandHover:"var(--colorNeutralForeground2BrandHover)",colorNeutralForeground2BrandPressed:"var(--colorNeutralForeground2BrandPressed)",colorNeutralForeground2BrandSelected:"var(--colorNeutralForeground2BrandSelected)",colorNeutralForeground3:"var(--colorNeutralForeground3)",colorNeutralForeground3Hover:"var(--colorNeutralForeground3Hover)",colorNeutralForeground3Pressed:"var(--colorNeutralForeground3Pressed)",colorNeutralForeground3Selected:"var(--colorNeutralForeground3Selected)",colorNeutralForeground3BrandHover:"var(--colorNeutralForeground3BrandHover)",colorNeutralForeground3BrandPressed:"var(--colorNeutralForeground3BrandPressed)",colorNeutralForeground3BrandSelected:"var(--colorNeutralForeground3BrandSelected)",colorNeutralForeground4:"var(--colorNeutralForeground4)",colorNeutralForegroundDisabled:"var(--colorNeutralForegroundDisabled)",colorBrandForegroundLink:"var(--colorBrandForegroundLink)",colorBrandForegroundLinkHover:"var(--colorBrandForegroundLinkHover)",colorBrandForegroundLinkPressed:"var(--colorBrandForegroundLinkPressed)",colorBrandForegroundLinkSelected:"var(--colorBrandForegroundLinkSelected)",colorNeutralForeground2Link:"var(--colorNeutralForeground2Link)",colorNeutralForeground2LinkHover:"var(--colorNeutralForeground2LinkHover)",colorNeutralForeground2LinkPressed:"var(--colorNeutralForeground2LinkPressed)",colorNeutralForeground2LinkSelected:"var(--colorNeutralForeground2LinkSelected)",colorCompoundBrandForeground1:"var(--colorCompoundBrandForeground1)",colorCompoundBrandForeground1Hover:"var(--colorCompoundBrandForeground1Hover)",colorCompoundBrandForeground1Pressed:"var(--colorCompoundBrandForeground1Pressed)",colorNeutralForegroundOnBrand:"var(--colorNeutralForegroundOnBrand)",colorNeutralForegroundInverted:"var(--colorNeutralForegroundInverted)",colorNeutralForegroundInvertedHover:"var(--colorNeutralForegroundInvertedHover)",colorNeutralForegroundInvertedPressed:"var(--colorNeutralForegroundInvertedPressed)",colorNeutralForegroundInvertedSelected:"var(--colorNeutralForegroundInvertedSelected)",colorNeutralForegroundInverted2:"var(--colorNeutralForegroundInverted2)",colorNeutralForegroundStaticInverted:"var(--colorNeutralForegroundStaticInverted)",colorNeutralForegroundInvertedLink:"var(--colorNeutralForegroundInvertedLink)",colorNeutralForegroundInvertedLinkHover:"var(--colorNeutralForegroundInvertedLinkHover)",colorNeutralForegroundInvertedLinkPressed:"var(--colorNeutralForegroundInvertedLinkPressed)",colorNeutralForegroundInvertedLinkSelected:"var(--colorNeutralForegroundInvertedLinkSelected)",colorNeutralForegroundInvertedDisabled:"var(--colorNeutralForegroundInvertedDisabled)",colorBrandForeground1:"var(--colorBrandForeground1)",colorBrandForeground2:"var(--colorBrandForeground2)",colorBrandForeground2Hover:"var(--colorBrandForeground2Hover)",colorBrandForeground2Pressed:"var(--colorBrandForeground2Pressed)",colorNeutralForeground1Static:"var(--colorNeutralForeground1Static)",colorBrandForegroundInverted:"var(--colorBrandForegroundInverted)",colorBrandForegroundInvertedHover:"var(--colorBrandForegroundInvertedHover)",colorBrandForegroundInvertedPressed:"var(--colorBrandForegroundInvertedPressed)",colorBrandForegroundOnLight:"var(--colorBrandForegroundOnLight)",colorBrandForegroundOnLightHover:"var(--colorBrandForegroundOnLightHover)",colorBrandForegroundOnLightPressed:"var(--colorBrandForegroundOnLightPressed)",colorBrandForegroundOnLightSelected:"var(--colorBrandForegroundOnLightSelected)",colorNeutralBackground1:"var(--colorNeutralBackground1)",colorNeutralBackground1Hover:"var(--colorNeutralBackground1Hover)",colorNeutralBackground1Pressed:"var(--colorNeutralBackground1Pressed)",colorNeutralBackground1Selected:"var(--colorNeutralBackground1Selected)",colorNeutralBackground2:"var(--colorNeutralBackground2)",colorNeutralBackground2Hover:"var(--colorNeutralBackground2Hover)",colorNeutralBackground2Pressed:"var(--colorNeutralBackground2Pressed)",colorNeutralBackground2Selected:"var(--colorNeutralBackground2Selected)",colorNeutralBackground3:"var(--colorNeutralBackground3)",colorNeutralBackground3Hover:"var(--colorNeutralBackground3Hover)",colorNeutralBackground3Pressed:"var(--colorNeutralBackground3Pressed)",colorNeutralBackground3Selected:"var(--colorNeutralBackground3Selected)",colorNeutralBackground4:"var(--colorNeutralBackground4)",colorNeutralBackground4Hover:"var(--colorNeutralBackground4Hover)",colorNeutralBackground4Pressed:"var(--colorNeutralBackground4Pressed)",colorNeutralBackground4Selected:"var(--colorNeutralBackground4Selected)",colorNeutralBackground5:"var(--colorNeutralBackground5)",colorNeutralBackground5Hover:"var(--colorNeutralBackground5Hover)",colorNeutralBackground5Pressed:"var(--colorNeutralBackground5Pressed)",colorNeutralBackground5Selected:"var(--colorNeutralBackground5Selected)",colorNeutralBackground6:"var(--colorNeutralBackground6)",colorNeutralBackgroundInverted:"var(--colorNeutralBackgroundInverted)",colorNeutralBackgroundStatic:"var(--colorNeutralBackgroundStatic)",colorNeutralBackgroundAlpha:"var(--colorNeutralBackgroundAlpha)",colorNeutralBackgroundAlpha2:"var(--colorNeutralBackgroundAlpha2)",colorSubtleBackground:"var(--colorSubtleBackground)",colorSubtleBackgroundHover:"var(--colorSubtleBackgroundHover)",colorSubtleBackgroundPressed:"var(--colorSubtleBackgroundPressed)",colorSubtleBackgroundSelected:"var(--colorSubtleBackgroundSelected)",colorSubtleBackgroundLightAlphaHover:"var(--colorSubtleBackgroundLightAlphaHover)",colorSubtleBackgroundLightAlphaPressed:"var(--colorSubtleBackgroundLightAlphaPressed)",colorSubtleBackgroundLightAlphaSelected:"var(--colorSubtleBackgroundLightAlphaSelected)",colorSubtleBackgroundInverted:"var(--colorSubtleBackgroundInverted)",colorSubtleBackgroundInvertedHover:"var(--colorSubtleBackgroundInvertedHover)",colorSubtleBackgroundInvertedPressed:"var(--colorSubtleBackgroundInvertedPressed)",colorSubtleBackgroundInvertedSelected:"var(--colorSubtleBackgroundInvertedSelected)",colorTransparentBackground:"var(--colorTransparentBackground)",colorTransparentBackgroundHover:"var(--colorTransparentBackgroundHover)",colorTransparentBackgroundPressed:"var(--colorTransparentBackgroundPressed)",colorTransparentBackgroundSelected:"var(--colorTransparentBackgroundSelected)",colorNeutralBackgroundDisabled:"var(--colorNeutralBackgroundDisabled)",colorNeutralBackgroundInvertedDisabled:"var(--colorNeutralBackgroundInvertedDisabled)",colorNeutralStencil1:"var(--colorNeutralStencil1)",colorNeutralStencil2:"var(--colorNeutralStencil2)",colorNeutralStencil1Alpha:"var(--colorNeutralStencil1Alpha)",colorNeutralStencil2Alpha:"var(--colorNeutralStencil2Alpha)",colorBackgroundOverlay:"var(--colorBackgroundOverlay)",colorScrollbarOverlay:"var(--colorScrollbarOverlay)",colorBrandBackground:"var(--colorBrandBackground)",colorBrandBackgroundHover:"var(--colorBrandBackgroundHover)",colorBrandBackgroundPressed:"var(--colorBrandBackgroundPressed)",colorBrandBackgroundSelected:"var(--colorBrandBackgroundSelected)",colorCompoundBrandBackground:"var(--colorCompoundBrandBackground)",colorCompoundBrandBackgroundHover:"var(--colorCompoundBrandBackgroundHover)",colorCompoundBrandBackgroundPressed:"var(--colorCompoundBrandBackgroundPressed)",colorBrandBackgroundStatic:"var(--colorBrandBackgroundStatic)",colorBrandBackground2:"var(--colorBrandBackground2)",colorBrandBackground2Hover:"var(--colorBrandBackground2Hover)",colorBrandBackground2Pressed:"var(--colorBrandBackground2Pressed)",colorBrandBackgroundInverted:"var(--colorBrandBackgroundInverted)",colorBrandBackgroundInvertedHover:"var(--colorBrandBackgroundInvertedHover)",colorBrandBackgroundInvertedPressed:"var(--colorBrandBackgroundInvertedPressed)",colorBrandBackgroundInvertedSelected:"var(--colorBrandBackgroundInvertedSelected)",colorNeutralStrokeAccessible:"var(--colorNeutralStrokeAccessible)",colorNeutralStrokeAccessibleHover:"var(--colorNeutralStrokeAccessibleHover)",colorNeutralStrokeAccessiblePressed:"var(--colorNeutralStrokeAccessiblePressed)",colorNeutralStrokeAccessibleSelected:"var(--colorNeutralStrokeAccessibleSelected)",colorNeutralStroke1:"var(--colorNeutralStroke1)",colorNeutralStroke1Hover:"var(--colorNeutralStroke1Hover)",colorNeutralStroke1Pressed:"var(--colorNeutralStroke1Pressed)",colorNeutralStroke1Selected:"var(--colorNeutralStroke1Selected)",colorNeutralStroke2:"var(--colorNeutralStroke2)",colorNeutralStroke3:"var(--colorNeutralStroke3)",colorNeutralStrokeSubtle:"var(--colorNeutralStrokeSubtle)",colorNeutralStrokeOnBrand:"var(--colorNeutralStrokeOnBrand)",colorNeutralStrokeOnBrand2:"var(--colorNeutralStrokeOnBrand2)",colorNeutralStrokeOnBrand2Hover:"var(--colorNeutralStrokeOnBrand2Hover)",colorNeutralStrokeOnBrand2Pressed:"var(--colorNeutralStrokeOnBrand2Pressed)",colorNeutralStrokeOnBrand2Selected:"var(--colorNeutralStrokeOnBrand2Selected)",colorBrandStroke1:"var(--colorBrandStroke1)",colorBrandStroke2:"var(--colorBrandStroke2)",colorBrandStroke2Hover:"var(--colorBrandStroke2Hover)",colorBrandStroke2Pressed:"var(--colorBrandStroke2Pressed)",colorBrandStroke2Contrast:"var(--colorBrandStroke2Contrast)",colorCompoundBrandStroke:"var(--colorCompoundBrandStroke)",colorCompoundBrandStrokeHover:"var(--colorCompoundBrandStrokeHover)",colorCompoundBrandStrokePressed:"var(--colorCompoundBrandStrokePressed)",colorNeutralStrokeDisabled:"var(--colorNeutralStrokeDisabled)",colorNeutralStrokeInvertedDisabled:"var(--colorNeutralStrokeInvertedDisabled)",colorTransparentStroke:"var(--colorTransparentStroke)",colorTransparentStrokeInteractive:"var(--colorTransparentStrokeInteractive)",colorTransparentStrokeDisabled:"var(--colorTransparentStrokeDisabled)",colorNeutralStrokeAlpha:"var(--colorNeutralStrokeAlpha)",colorNeutralStrokeAlpha2:"var(--colorNeutralStrokeAlpha2)",colorStrokeFocus1:"var(--colorStrokeFocus1)",colorStrokeFocus2:"var(--colorStrokeFocus2)",colorNeutralShadowAmbient:"var(--colorNeutralShadowAmbient)",colorNeutralShadowKey:"var(--colorNeutralShadowKey)",colorNeutralShadowAmbientLighter:"var(--colorNeutralShadowAmbientLighter)",colorNeutralShadowKeyLighter:"var(--colorNeutralShadowKeyLighter)",colorNeutralShadowAmbientDarker:"var(--colorNeutralShadowAmbientDarker)",colorNeutralShadowKeyDarker:"var(--colorNeutralShadowKeyDarker)",colorBrandShadowAmbient:"var(--colorBrandShadowAmbient)",colorBrandShadowKey:"var(--colorBrandShadowKey)",colorPaletteRedBackground1:"var(--colorPaletteRedBackground1)",colorPaletteRedBackground2:"var(--colorPaletteRedBackground2)",colorPaletteRedBackground3:"var(--colorPaletteRedBackground3)",colorPaletteRedBorderActive:"var(--colorPaletteRedBorderActive)",colorPaletteRedBorder1:"var(--colorPaletteRedBorder1)",colorPaletteRedBorder2:"var(--colorPaletteRedBorder2)",colorPaletteRedForeground1:"var(--colorPaletteRedForeground1)",colorPaletteRedForeground2:"var(--colorPaletteRedForeground2)",colorPaletteRedForeground3:"var(--colorPaletteRedForeground3)",colorPaletteRedForegroundInverted:"var(--colorPaletteRedForegroundInverted)",colorPaletteGreenBackground1:"var(--colorPaletteGreenBackground1)",colorPaletteGreenBackground2:"var(--colorPaletteGreenBackground2)",colorPaletteGreenBackground3:"var(--colorPaletteGreenBackground3)",colorPaletteGreenBorderActive:"var(--colorPaletteGreenBorderActive)",colorPaletteGreenBorder1:"var(--colorPaletteGreenBorder1)",colorPaletteGreenBorder2:"var(--colorPaletteGreenBorder2)",colorPaletteGreenForeground1:"var(--colorPaletteGreenForeground1)",colorPaletteGreenForeground2:"var(--colorPaletteGreenForeground2)",colorPaletteGreenForeground3:"var(--colorPaletteGreenForeground3)",colorPaletteGreenForegroundInverted:"var(--colorPaletteGreenForegroundInverted)",colorPaletteDarkOrangeBackground1:"var(--colorPaletteDarkOrangeBackground1)",colorPaletteDarkOrangeBackground2:"var(--colorPaletteDarkOrangeBackground2)",colorPaletteDarkOrangeBackground3:"var(--colorPaletteDarkOrangeBackground3)",colorPaletteDarkOrangeBorderActive:"var(--colorPaletteDarkOrangeBorderActive)",colorPaletteDarkOrangeBorder1:"var(--colorPaletteDarkOrangeBorder1)",colorPaletteDarkOrangeBorder2:"var(--colorPaletteDarkOrangeBorder2)",colorPaletteDarkOrangeForeground1:"var(--colorPaletteDarkOrangeForeground1)",colorPaletteDarkOrangeForeground2:"var(--colorPaletteDarkOrangeForeground2)",colorPaletteDarkOrangeForeground3:"var(--colorPaletteDarkOrangeForeground3)",colorPaletteYellowBackground1:"var(--colorPaletteYellowBackground1)",colorPaletteYellowBackground2:"var(--colorPaletteYellowBackground2)",colorPaletteYellowBackground3:"var(--colorPaletteYellowBackground3)",colorPaletteYellowBorderActive:"var(--colorPaletteYellowBorderActive)",colorPaletteYellowBorder1:"var(--colorPaletteYellowBorder1)",colorPaletteYellowBorder2:"var(--colorPaletteYellowBorder2)",colorPaletteYellowForeground1:"var(--colorPaletteYellowForeground1)",colorPaletteYellowForeground2:"var(--colorPaletteYellowForeground2)",colorPaletteYellowForeground3:"var(--colorPaletteYellowForeground3)",colorPaletteYellowForegroundInverted:"var(--colorPaletteYellowForegroundInverted)",colorPaletteBerryBackground1:"var(--colorPaletteBerryBackground1)",colorPaletteBerryBackground2:"var(--colorPaletteBerryBackground2)",colorPaletteBerryBackground3:"var(--colorPaletteBerryBackground3)",colorPaletteBerryBorderActive:"var(--colorPaletteBerryBorderActive)",colorPaletteBerryBorder1:"var(--colorPaletteBerryBorder1)",colorPaletteBerryBorder2:"var(--colorPaletteBerryBorder2)",colorPaletteBerryForeground1:"var(--colorPaletteBerryForeground1)",colorPaletteBerryForeground2:"var(--colorPaletteBerryForeground2)",colorPaletteBerryForeground3:"var(--colorPaletteBerryForeground3)",colorPaletteMarigoldBackground1:"var(--colorPaletteMarigoldBackground1)",colorPaletteMarigoldBackground2:"var(--colorPaletteMarigoldBackground2)",colorPaletteMarigoldBackground3:"var(--colorPaletteMarigoldBackground3)",colorPaletteMarigoldBorderActive:"var(--colorPaletteMarigoldBorderActive)",colorPaletteMarigoldBorder1:"var(--colorPaletteMarigoldBorder1)",colorPaletteMarigoldBorder2:"var(--colorPaletteMarigoldBorder2)",colorPaletteMarigoldForeground1:"var(--colorPaletteMarigoldForeground1)",colorPaletteMarigoldForeground2:"var(--colorPaletteMarigoldForeground2)",colorPaletteMarigoldForeground3:"var(--colorPaletteMarigoldForeground3)",colorPaletteLightGreenBackground1:"var(--colorPaletteLightGreenBackground1)",colorPaletteLightGreenBackground2:"var(--colorPaletteLightGreenBackground2)",colorPaletteLightGreenBackground3:"var(--colorPaletteLightGreenBackground3)",colorPaletteLightGreenBorderActive:"var(--colorPaletteLightGreenBorderActive)",colorPaletteLightGreenBorder1:"var(--colorPaletteLightGreenBorder1)",colorPaletteLightGreenBorder2:"var(--colorPaletteLightGreenBorder2)",colorPaletteLightGreenForeground1:"var(--colorPaletteLightGreenForeground1)",colorPaletteLightGreenForeground2:"var(--colorPaletteLightGreenForeground2)",colorPaletteLightGreenForeground3:"var(--colorPaletteLightGreenForeground3)",colorPaletteAnchorBackground2:"var(--colorPaletteAnchorBackground2)",colorPaletteAnchorBorderActive:"var(--colorPaletteAnchorBorderActive)",colorPaletteAnchorForeground2:"var(--colorPaletteAnchorForeground2)",colorPaletteBeigeBackground2:"var(--colorPaletteBeigeBackground2)",colorPaletteBeigeBorderActive:"var(--colorPaletteBeigeBorderActive)",colorPaletteBeigeForeground2:"var(--colorPaletteBeigeForeground2)",colorPaletteBlueBackground2:"var(--colorPaletteBlueBackground2)",colorPaletteBlueBorderActive:"var(--colorPaletteBlueBorderActive)",colorPaletteBlueForeground2:"var(--colorPaletteBlueForeground2)",colorPaletteBrassBackground2:"var(--colorPaletteBrassBackground2)",colorPaletteBrassBorderActive:"var(--colorPaletteBrassBorderActive)",colorPaletteBrassForeground2:"var(--colorPaletteBrassForeground2)",colorPaletteBrownBackground2:"var(--colorPaletteBrownBackground2)",colorPaletteBrownBorderActive:"var(--colorPaletteBrownBorderActive)",colorPaletteBrownForeground2:"var(--colorPaletteBrownForeground2)",colorPaletteCornflowerBackground2:"var(--colorPaletteCornflowerBackground2)",colorPaletteCornflowerBorderActive:"var(--colorPaletteCornflowerBorderActive)",colorPaletteCornflowerForeground2:"var(--colorPaletteCornflowerForeground2)",colorPaletteCranberryBackground2:"var(--colorPaletteCranberryBackground2)",colorPaletteCranberryBorderActive:"var(--colorPaletteCranberryBorderActive)",colorPaletteCranberryForeground2:"var(--colorPaletteCranberryForeground2)",colorPaletteDarkGreenBackground2:"var(--colorPaletteDarkGreenBackground2)",colorPaletteDarkGreenBorderActive:"var(--colorPaletteDarkGreenBorderActive)",colorPaletteDarkGreenForeground2:"var(--colorPaletteDarkGreenForeground2)",colorPaletteDarkRedBackground2:"var(--colorPaletteDarkRedBackground2)",colorPaletteDarkRedBorderActive:"var(--colorPaletteDarkRedBorderActive)",colorPaletteDarkRedForeground2:"var(--colorPaletteDarkRedForeground2)",colorPaletteForestBackground2:"var(--colorPaletteForestBackground2)",colorPaletteForestBorderActive:"var(--colorPaletteForestBorderActive)",colorPaletteForestForeground2:"var(--colorPaletteForestForeground2)",colorPaletteGoldBackground2:"var(--colorPaletteGoldBackground2)",colorPaletteGoldBorderActive:"var(--colorPaletteGoldBorderActive)",colorPaletteGoldForeground2:"var(--colorPaletteGoldForeground2)",colorPaletteGrapeBackground2:"var(--colorPaletteGrapeBackground2)",colorPaletteGrapeBorderActive:"var(--colorPaletteGrapeBorderActive)",colorPaletteGrapeForeground2:"var(--colorPaletteGrapeForeground2)",colorPaletteLavenderBackground2:"var(--colorPaletteLavenderBackground2)",colorPaletteLavenderBorderActive:"var(--colorPaletteLavenderBorderActive)",colorPaletteLavenderForeground2:"var(--colorPaletteLavenderForeground2)",colorPaletteLightTealBackground2:"var(--colorPaletteLightTealBackground2)",colorPaletteLightTealBorderActive:"var(--colorPaletteLightTealBorderActive)",colorPaletteLightTealForeground2:"var(--colorPaletteLightTealForeground2)",colorPaletteLilacBackground2:"var(--colorPaletteLilacBackground2)",colorPaletteLilacBorderActive:"var(--colorPaletteLilacBorderActive)",colorPaletteLilacForeground2:"var(--colorPaletteLilacForeground2)",colorPaletteMagentaBackground2:"var(--colorPaletteMagentaBackground2)",colorPaletteMagentaBorderActive:"var(--colorPaletteMagentaBorderActive)",colorPaletteMagentaForeground2:"var(--colorPaletteMagentaForeground2)",colorPaletteMinkBackground2:"var(--colorPaletteMinkBackground2)",colorPaletteMinkBorderActive:"var(--colorPaletteMinkBorderActive)",colorPaletteMinkForeground2:"var(--colorPaletteMinkForeground2)",colorPaletteNavyBackground2:"var(--colorPaletteNavyBackground2)",colorPaletteNavyBorderActive:"var(--colorPaletteNavyBorderActive)",colorPaletteNavyForeground2:"var(--colorPaletteNavyForeground2)",colorPalettePeachBackground2:"var(--colorPalettePeachBackground2)",colorPalettePeachBorderActive:"var(--colorPalettePeachBorderActive)",colorPalettePeachForeground2:"var(--colorPalettePeachForeground2)",colorPalettePinkBackground2:"var(--colorPalettePinkBackground2)",colorPalettePinkBorderActive:"var(--colorPalettePinkBorderActive)",colorPalettePinkForeground2:"var(--colorPalettePinkForeground2)",colorPalettePlatinumBackground2:"var(--colorPalettePlatinumBackground2)",colorPalettePlatinumBorderActive:"var(--colorPalettePlatinumBorderActive)",colorPalettePlatinumForeground2:"var(--colorPalettePlatinumForeground2)",colorPalettePlumBackground2:"var(--colorPalettePlumBackground2)",colorPalettePlumBorderActive:"var(--colorPalettePlumBorderActive)",colorPalettePlumForeground2:"var(--colorPalettePlumForeground2)",colorPalettePumpkinBackground2:"var(--colorPalettePumpkinBackground2)",colorPalettePumpkinBorderActive:"var(--colorPalettePumpkinBorderActive)",colorPalettePumpkinForeground2:"var(--colorPalettePumpkinForeground2)",colorPalettePurpleBackground2:"var(--colorPalettePurpleBackground2)",colorPalettePurpleBorderActive:"var(--colorPalettePurpleBorderActive)",colorPalettePurpleForeground2:"var(--colorPalettePurpleForeground2)",colorPaletteRoyalBlueBackground2:"var(--colorPaletteRoyalBlueBackground2)",colorPaletteRoyalBlueBorderActive:"var(--colorPaletteRoyalBlueBorderActive)",colorPaletteRoyalBlueForeground2:"var(--colorPaletteRoyalBlueForeground2)",colorPaletteSeafoamBackground2:"var(--colorPaletteSeafoamBackground2)",colorPaletteSeafoamBorderActive:"var(--colorPaletteSeafoamBorderActive)",colorPaletteSeafoamForeground2:"var(--colorPaletteSeafoamForeground2)",colorPaletteSteelBackground2:"var(--colorPaletteSteelBackground2)",colorPaletteSteelBorderActive:"var(--colorPaletteSteelBorderActive)",colorPaletteSteelForeground2:"var(--colorPaletteSteelForeground2)",colorPaletteTealBackground2:"var(--colorPaletteTealBackground2)",colorPaletteTealBorderActive:"var(--colorPaletteTealBorderActive)",colorPaletteTealForeground2:"var(--colorPaletteTealForeground2)",colorStatusSuccessBackground1:"var(--colorStatusSuccessBackground1)",colorStatusSuccessBackground2:"var(--colorStatusSuccessBackground2)",colorStatusSuccessBackground3:"var(--colorStatusSuccessBackground3)",colorStatusSuccessForeground1:"var(--colorStatusSuccessForeground1)",colorStatusSuccessForeground2:"var(--colorStatusSuccessForeground2)",colorStatusSuccessForeground3:"var(--colorStatusSuccessForeground3)",colorStatusSuccessForegroundInverted:"var(--colorStatusSuccessForegroundInverted)",colorStatusSuccessBorderActive:"var(--colorStatusSuccessBorderActive)",colorStatusSuccessBorder1:"var(--colorStatusSuccessBorder1)",colorStatusSuccessBorder2:"var(--colorStatusSuccessBorder2)",colorStatusWarningBackground1:"var(--colorStatusWarningBackground1)",colorStatusWarningBackground2:"var(--colorStatusWarningBackground2)",colorStatusWarningBackground3:"var(--colorStatusWarningBackground3)",colorStatusWarningForeground1:"var(--colorStatusWarningForeground1)",colorStatusWarningForeground2:"var(--colorStatusWarningForeground2)",colorStatusWarningForeground3:"var(--colorStatusWarningForeground3)",colorStatusWarningForegroundInverted:"var(--colorStatusWarningForegroundInverted)",colorStatusWarningBorderActive:"var(--colorStatusWarningBorderActive)",colorStatusWarningBorder1:"var(--colorStatusWarningBorder1)",colorStatusWarningBorder2:"var(--colorStatusWarningBorder2)",colorStatusDangerBackground1:"var(--colorStatusDangerBackground1)",colorStatusDangerBackground2:"var(--colorStatusDangerBackground2)",colorStatusDangerBackground3:"var(--colorStatusDangerBackground3)",colorStatusDangerForeground1:"var(--colorStatusDangerForeground1)",colorStatusDangerForeground2:"var(--colorStatusDangerForeground2)",colorStatusDangerForeground3:"var(--colorStatusDangerForeground3)",colorStatusDangerForegroundInverted:"var(--colorStatusDangerForegroundInverted)",colorStatusDangerBorderActive:"var(--colorStatusDangerBorderActive)",colorStatusDangerBorder1:"var(--colorStatusDangerBorder1)",colorStatusDangerBorder2:"var(--colorStatusDangerBorder2)",borderRadiusNone:"var(--borderRadiusNone)",borderRadiusSmall:"var(--borderRadiusSmall)",borderRadiusMedium:"var(--borderRadiusMedium)",borderRadiusLarge:"var(--borderRadiusLarge)",borderRadiusXLarge:"var(--borderRadiusXLarge)",borderRadiusCircular:"var(--borderRadiusCircular)",fontFamilyBase:"var(--fontFamilyBase)",fontFamilyMonospace:"var(--fontFamilyMonospace)",fontFamilyNumeric:"var(--fontFamilyNumeric)",fontSizeBase100:"var(--fontSizeBase100)",fontSizeBase200:"var(--fontSizeBase200)",fontSizeBase300:"var(--fontSizeBase300)",fontSizeBase400:"var(--fontSizeBase400)",fontSizeBase500:"var(--fontSizeBase500)",fontSizeBase600:"var(--fontSizeBase600)",fontSizeHero700:"var(--fontSizeHero700)",fontSizeHero800:"var(--fontSizeHero800)",fontSizeHero900:"var(--fontSizeHero900)",fontSizeHero1000:"var(--fontSizeHero1000)",fontWeightRegular:"var(--fontWeightRegular)",fontWeightMedium:"var(--fontWeightMedium)",fontWeightSemibold:"var(--fontWeightSemibold)",fontWeightBold:"var(--fontWeightBold)",lineHeightBase100:"var(--lineHeightBase100)",lineHeightBase200:"var(--lineHeightBase200)",lineHeightBase300:"var(--lineHeightBase300)",lineHeightBase400:"var(--lineHeightBase400)",lineHeightBase500:"var(--lineHeightBase500)",lineHeightBase600:"var(--lineHeightBase600)",lineHeightHero700:"var(--lineHeightHero700)",lineHeightHero800:"var(--lineHeightHero800)",lineHeightHero900:"var(--lineHeightHero900)",lineHeightHero1000:"var(--lineHeightHero1000)",shadow2:"var(--shadow2)",shadow4:"var(--shadow4)",shadow8:"var(--shadow8)",shadow16:"var(--shadow16)",shadow28:"var(--shadow28)",shadow64:"var(--shadow64)",shadow2Brand:"var(--shadow2Brand)",shadow4Brand:"var(--shadow4Brand)",shadow8Brand:"var(--shadow8Brand)",shadow16Brand:"var(--shadow16Brand)",shadow28Brand:"var(--shadow28Brand)",shadow64Brand:"var(--shadow64Brand)",strokeWidthThin:"var(--strokeWidthThin)",strokeWidthThick:"var(--strokeWidthThick)",strokeWidthThicker:"var(--strokeWidthThicker)",strokeWidthThickest:"var(--strokeWidthThickest)",spacingHorizontalNone:"var(--spacingHorizontalNone)",spacingHorizontalXXS:"var(--spacingHorizontalXXS)",spacingHorizontalXS:"var(--spacingHorizontalXS)",spacingHorizontalSNudge:"var(--spacingHorizontalSNudge)",spacingHorizontalS:"var(--spacingHorizontalS)",spacingHorizontalMNudge:"var(--spacingHorizontalMNudge)",spacingHorizontalM:"var(--spacingHorizontalM)",spacingHorizontalL:"var(--spacingHorizontalL)",spacingHorizontalXL:"var(--spacingHorizontalXL)",spacingHorizontalXXL:"var(--spacingHorizontalXXL)",spacingHorizontalXXXL:"var(--spacingHorizontalXXXL)",spacingVerticalNone:"var(--spacingVerticalNone)",spacingVerticalXXS:"var(--spacingVerticalXXS)",spacingVerticalXS:"var(--spacingVerticalXS)",spacingVerticalSNudge:"var(--spacingVerticalSNudge)",spacingVerticalS:"var(--spacingVerticalS)",spacingVerticalMNudge:"var(--spacingVerticalMNudge)",spacingVerticalM:"var(--spacingVerticalM)",spacingVerticalL:"var(--spacingVerticalL)",spacingVerticalXL:"var(--spacingVerticalXL)",spacingVerticalXXL:"var(--spacingVerticalXXL)",spacingVerticalXXXL:"var(--spacingVerticalXXXL)",durationUltraFast:"var(--durationUltraFast)",durationFaster:"var(--durationFaster)",durationFast:"var(--durationFast)",durationNormal:"var(--durationNormal)",durationGentle:"var(--durationGentle)",durationSlow:"var(--durationSlow)",durationSlower:"var(--durationSlower)",durationUltraSlow:"var(--durationUltraSlow)",curveAccelerateMax:"var(--curveAccelerateMax)",curveAccelerateMid:"var(--curveAccelerateMid)",curveAccelerateMin:"var(--curveAccelerateMin)",curveDecelerateMax:"var(--curveDecelerateMax)",curveDecelerateMid:"var(--curveDecelerateMid)",curveDecelerateMin:"var(--curveDecelerateMin)",curveEasyEaseMax:"var(--curveEasyEaseMax)",curveEasyEase:"var(--curveEasyEase)",curveLinear:"var(--curveLinear)"};function createShadowTokens(eo,to,ro=""){return{[`shadow2${ro}`]:`0 0 2px ${eo}, 0 1px 2px ${to}`,[`shadow4${ro}`]:`0 0 2px ${eo}, 0 2px 4px ${to}`,[`shadow8${ro}`]:`0 0 2px ${eo}, 0 4px 8px ${to}`,[`shadow16${ro}`]:`0 0 2px ${eo}, 0 8px 16px ${to}`,[`shadow28${ro}`]:`0 0 8px ${eo}, 0 14px 28px ${to}`,[`shadow64${ro}`]:`0 0 8px ${eo}, 0 32px 64px ${to}`}}const createLightTheme=eo=>{const to=generateColorTokens$1(eo);return{...borderRadius,...fontSizes,...lineHeights,...fontFamilies,...fontWeights,...strokeWidths,...horizontalSpacings,...verticalSpacings,...durations,...curves,...to,...colorPaletteTokens$1,...colorStatusTokens$1,...createShadowTokens(to.colorNeutralShadowAmbient,to.colorNeutralShadowKey),...createShadowTokens(to.colorBrandShadowAmbient,to.colorBrandShadowKey,"Brand")}},brandWeb={10:"#061724",20:"#082338",30:"#0a2e4a",40:"#0c3b5e",50:"#0e4775",60:"#0f548c",70:"#115ea3",80:"#0f6cbd",90:"#2886de",100:"#479ef5",110:"#62abf5",120:"#77b7f7",130:"#96c6fa",140:"#b4d6fa",150:"#cfe4fa",160:"#ebf3fc"},statusColorPaletteTokens=statusSharedColorNames.reduce((eo,to)=>{const ro=to.slice(0,1).toUpperCase()+to.slice(1),no={[`colorPalette${ro}Background1`]:statusSharedColors[to].shade40,[`colorPalette${ro}Background2`]:statusSharedColors[to].shade30,[`colorPalette${ro}Background3`]:statusSharedColors[to].primary,[`colorPalette${ro}Foreground1`]:statusSharedColors[to].tint30,[`colorPalette${ro}Foreground2`]:statusSharedColors[to].tint40,[`colorPalette${ro}Foreground3`]:statusSharedColors[to].tint20,[`colorPalette${ro}BorderActive`]:statusSharedColors[to].tint30,[`colorPalette${ro}Border1`]:statusSharedColors[to].primary,[`colorPalette${ro}Border2`]:statusSharedColors[to].tint20};return Object.assign(eo,no)},{});statusColorPaletteTokens.colorPaletteRedForeground3=statusSharedColors.red.tint30;statusColorPaletteTokens.colorPaletteRedBorder2=statusSharedColors.red.tint30;statusColorPaletteTokens.colorPaletteGreenForeground3=statusSharedColors.green.tint40;statusColorPaletteTokens.colorPaletteGreenBorder2=statusSharedColors.green.tint40;statusColorPaletteTokens.colorPaletteDarkOrangeForeground3=statusSharedColors.darkOrange.tint30;statusColorPaletteTokens.colorPaletteDarkOrangeBorder2=statusSharedColors.darkOrange.tint30;statusColorPaletteTokens.colorPaletteRedForegroundInverted=statusSharedColors.red.primary;statusColorPaletteTokens.colorPaletteGreenForegroundInverted=statusSharedColors.green.primary;statusColorPaletteTokens.colorPaletteYellowForegroundInverted=statusSharedColors.yellow.shade30;const personaColorPaletteTokens=personaSharedColorNames.reduce((eo,to)=>{const ro=to.slice(0,1).toUpperCase()+to.slice(1),no={[`colorPalette${ro}Background2`]:personaSharedColors[to].shade30,[`colorPalette${ro}Foreground2`]:personaSharedColors[to].tint40,[`colorPalette${ro}BorderActive`]:personaSharedColors[to].tint30};return Object.assign(eo,no)},{});personaColorPaletteTokens.colorPaletteDarkRedBackground2=personaSharedColors.darkRed.shade20;personaColorPaletteTokens.colorPalettePlumBackground2=personaSharedColors.plum.shade20;const colorPaletteTokens={...statusColorPaletteTokens,...personaColorPaletteTokens},colorStatusTokens=Object.entries(statusColorMapping).reduce((eo,[to,ro])=>{const no=to.slice(0,1).toUpperCase()+to.slice(1),oo={[`colorStatus${no}Background1`]:mappedStatusColors[ro].shade40,[`colorStatus${no}Background2`]:mappedStatusColors[ro].shade30,[`colorStatus${no}Background3`]:mappedStatusColors[ro].primary,[`colorStatus${no}Foreground1`]:mappedStatusColors[ro].tint30,[`colorStatus${no}Foreground2`]:mappedStatusColors[ro].tint40,[`colorStatus${no}Foreground3`]:mappedStatusColors[ro].tint20,[`colorStatus${no}BorderActive`]:mappedStatusColors[ro].tint30,[`colorStatus${no}ForegroundInverted`]:mappedStatusColors[ro].shade10,[`colorStatus${no}Border1`]:mappedStatusColors[ro].primary,[`colorStatus${no}Border2`]:mappedStatusColors[ro].tint20};return Object.assign(eo,oo)},{});colorStatusTokens.colorStatusDangerForeground3=mappedStatusColors[statusColorMapping.danger].tint30;colorStatusTokens.colorStatusDangerBorder2=mappedStatusColors[statusColorMapping.danger].tint30;colorStatusTokens.colorStatusSuccessForeground3=mappedStatusColors[statusColorMapping.success].tint40;colorStatusTokens.colorStatusSuccessBorder2=mappedStatusColors[statusColorMapping.success].tint40;colorStatusTokens.colorStatusWarningForegroundInverted=mappedStatusColors[statusColorMapping.warning].shade20;const webLightTheme=createLightTheme(brandWeb),generateColorTokens=eo=>({colorNeutralForeground1:white,colorNeutralForeground1Hover:white,colorNeutralForeground1Pressed:white,colorNeutralForeground1Selected:white,colorNeutralForeground2:grey[84],colorNeutralForeground2Hover:white,colorNeutralForeground2Pressed:white,colorNeutralForeground2Selected:white,colorNeutralForeground2BrandHover:eo[100],colorNeutralForeground2BrandPressed:eo[90],colorNeutralForeground2BrandSelected:eo[100],colorNeutralForeground3:grey[68],colorNeutralForeground3Hover:grey[84],colorNeutralForeground3Pressed:grey[84],colorNeutralForeground3Selected:grey[84],colorNeutralForeground3BrandHover:eo[100],colorNeutralForeground3BrandPressed:eo[90],colorNeutralForeground3BrandSelected:eo[100],colorNeutralForeground4:grey[60],colorNeutralForegroundDisabled:grey[36],colorNeutralForegroundInvertedDisabled:whiteAlpha[40],colorBrandForegroundLink:eo[100],colorBrandForegroundLinkHover:eo[110],colorBrandForegroundLinkPressed:eo[90],colorBrandForegroundLinkSelected:eo[100],colorNeutralForeground2Link:grey[84],colorNeutralForeground2LinkHover:white,colorNeutralForeground2LinkPressed:white,colorNeutralForeground2LinkSelected:white,colorCompoundBrandForeground1:eo[100],colorCompoundBrandForeground1Hover:eo[110],colorCompoundBrandForeground1Pressed:eo[90],colorBrandForeground1:eo[100],colorBrandForeground2:eo[110],colorBrandForeground2Hover:eo[130],colorBrandForeground2Pressed:eo[160],colorNeutralForeground1Static:grey[14],colorNeutralForegroundStaticInverted:white,colorNeutralForegroundInverted:grey[14],colorNeutralForegroundInvertedHover:grey[14],colorNeutralForegroundInvertedPressed:grey[14],colorNeutralForegroundInvertedSelected:grey[14],colorNeutralForegroundInverted2:grey[14],colorNeutralForegroundOnBrand:white,colorNeutralForegroundInvertedLink:white,colorNeutralForegroundInvertedLinkHover:white,colorNeutralForegroundInvertedLinkPressed:white,colorNeutralForegroundInvertedLinkSelected:white,colorBrandForegroundInverted:eo[80],colorBrandForegroundInvertedHover:eo[70],colorBrandForegroundInvertedPressed:eo[60],colorBrandForegroundOnLight:eo[80],colorBrandForegroundOnLightHover:eo[70],colorBrandForegroundOnLightPressed:eo[50],colorBrandForegroundOnLightSelected:eo[60],colorNeutralBackground1:grey[16],colorNeutralBackground1Hover:grey[24],colorNeutralBackground1Pressed:grey[12],colorNeutralBackground1Selected:grey[22],colorNeutralBackground2:grey[12],colorNeutralBackground2Hover:grey[20],colorNeutralBackground2Pressed:grey[8],colorNeutralBackground2Selected:grey[18],colorNeutralBackground3:grey[8],colorNeutralBackground3Hover:grey[16],colorNeutralBackground3Pressed:grey[4],colorNeutralBackground3Selected:grey[14],colorNeutralBackground4:grey[4],colorNeutralBackground4Hover:grey[12],colorNeutralBackground4Pressed:black,colorNeutralBackground4Selected:grey[10],colorNeutralBackground5:black,colorNeutralBackground5Hover:grey[8],colorNeutralBackground5Pressed:grey[2],colorNeutralBackground5Selected:grey[6],colorNeutralBackground6:grey[20],colorNeutralBackgroundInverted:white,colorNeutralBackgroundStatic:grey[24],colorNeutralBackgroundAlpha:grey10Alpha[50],colorNeutralBackgroundAlpha2:grey12Alpha[70],colorSubtleBackground:"transparent",colorSubtleBackgroundHover:grey[22],colorSubtleBackgroundPressed:grey[18],colorSubtleBackgroundSelected:grey[20],colorSubtleBackgroundLightAlphaHover:grey14Alpha[80],colorSubtleBackgroundLightAlphaPressed:grey14Alpha[50],colorSubtleBackgroundLightAlphaSelected:"transparent",colorSubtleBackgroundInverted:"transparent",colorSubtleBackgroundInvertedHover:blackAlpha[10],colorSubtleBackgroundInvertedPressed:blackAlpha[30],colorSubtleBackgroundInvertedSelected:blackAlpha[20],colorTransparentBackground:"transparent",colorTransparentBackgroundHover:"transparent",colorTransparentBackgroundPressed:"transparent",colorTransparentBackgroundSelected:"transparent",colorNeutralBackgroundDisabled:grey[8],colorNeutralBackgroundInvertedDisabled:whiteAlpha[10],colorNeutralStencil1:grey[34],colorNeutralStencil2:grey[20],colorNeutralStencil1Alpha:whiteAlpha[10],colorNeutralStencil2Alpha:whiteAlpha[5],colorBackgroundOverlay:blackAlpha[50],colorScrollbarOverlay:whiteAlpha[60],colorBrandBackground:eo[70],colorBrandBackgroundHover:eo[80],colorBrandBackgroundPressed:eo[40],colorBrandBackgroundSelected:eo[60],colorCompoundBrandBackground:eo[100],colorCompoundBrandBackgroundHover:eo[110],colorCompoundBrandBackgroundPressed:eo[90],colorBrandBackgroundStatic:eo[80],colorBrandBackground2:eo[20],colorBrandBackground2Hover:eo[40],colorBrandBackground2Pressed:eo[10],colorBrandBackgroundInverted:white,colorBrandBackgroundInvertedHover:eo[160],colorBrandBackgroundInvertedPressed:eo[140],colorBrandBackgroundInvertedSelected:eo[150],colorNeutralStrokeAccessible:grey[68],colorNeutralStrokeAccessibleHover:grey[74],colorNeutralStrokeAccessiblePressed:grey[70],colorNeutralStrokeAccessibleSelected:eo[100],colorNeutralStroke1:grey[40],colorNeutralStroke1Hover:grey[46],colorNeutralStroke1Pressed:grey[42],colorNeutralStroke1Selected:grey[44],colorNeutralStroke2:grey[32],colorNeutralStroke3:grey[24],colorNeutralStrokeSubtle:grey[4],colorNeutralStrokeOnBrand:grey[16],colorNeutralStrokeOnBrand2:white,colorNeutralStrokeOnBrand2Hover:white,colorNeutralStrokeOnBrand2Pressed:white,colorNeutralStrokeOnBrand2Selected:white,colorBrandStroke1:eo[100],colorBrandStroke2:eo[50],colorBrandStroke2Hover:eo[50],colorBrandStroke2Pressed:eo[30],colorBrandStroke2Contrast:eo[50],colorCompoundBrandStroke:eo[100],colorCompoundBrandStrokeHover:eo[110],colorCompoundBrandStrokePressed:eo[90],colorNeutralStrokeDisabled:grey[26],colorNeutralStrokeInvertedDisabled:whiteAlpha[40],colorTransparentStroke:"transparent",colorTransparentStrokeInteractive:"transparent",colorTransparentStrokeDisabled:"transparent",colorNeutralStrokeAlpha:whiteAlpha[10],colorNeutralStrokeAlpha2:whiteAlpha[20],colorStrokeFocus1:black,colorStrokeFocus2:white,colorNeutralShadowAmbient:"rgba(0,0,0,0.24)",colorNeutralShadowKey:"rgba(0,0,0,0.28)",colorNeutralShadowAmbientLighter:"rgba(0,0,0,0.12)",colorNeutralShadowKeyLighter:"rgba(0,0,0,0.14)",colorNeutralShadowAmbientDarker:"rgba(0,0,0,0.40)",colorNeutralShadowKeyDarker:"rgba(0,0,0,0.48)",colorBrandShadowAmbient:"rgba(0,0,0,0.30)",colorBrandShadowKey:"rgba(0,0,0,0.25)"}),createDarkTheme=eo=>{const to=generateColorTokens(eo);return{...borderRadius,...fontSizes,...lineHeights,...fontFamilies,...fontWeights,...strokeWidths,...horizontalSpacings,...verticalSpacings,...durations,...curves,...to,...colorPaletteTokens,...colorStatusTokens,...createShadowTokens(to.colorNeutralShadowAmbient,to.colorNeutralShadowKey),...createShadowTokens(to.colorBrandShadowAmbient,to.colorBrandShadowKey,"Brand")}},webDarkTheme=createDarkTheme(brandWeb),fluentProviderClassNames={root:"fui-FluentProvider"},useStyles$C=__styles$1({root:{sj55zd:"f19n0e5",De3pzq:"fxugw4r",fsow6f:["f1o700av","fes3tcz"],Bahqtrf:"fk6fouc",Be2twd7:"fkhj508",Bhrd7zp:"figsok6",Bg96gwp:"f1i3iumi"}},{d:[".f19n0e5{color:var(--colorNeutralForeground1);}",".fxugw4r{background-color:var(--colorNeutralBackground1);}",".f1o700av{text-align:left;}",".fes3tcz{text-align:right;}",".fk6fouc{font-family:var(--fontFamilyBase);}",".fkhj508{font-size:var(--fontSizeBase300);}",".figsok6{font-weight:var(--fontWeightRegular);}",".f1i3iumi{line-height:var(--lineHeightBase300);}"]}),useFluentProviderStyles_unstable=eo=>{const to=useRenderer(),ro=useStyles$C({dir:eo.dir,renderer:to});return eo.root.className=mergeClasses(fluentProviderClassNames.root,eo.themeClassName,ro.root,eo.root.className),eo},useInsertionEffect$1=reactExports.useInsertionEffect?reactExports.useInsertionEffect:useIsomorphicLayoutEffect$1,createStyleTag=(eo,to)=>{if(!eo)return;const ro=eo.createElement("style");return Object.keys(to).forEach(no=>{ro.setAttribute(no,to[no])}),eo.head.appendChild(ro),ro},insertSheet=(eo,to)=>{const ro=eo.sheet;ro&&(ro.cssRules.length>0&&ro.deleteRule(0),ro.insertRule(to,0))},useFluentProviderThemeStyleTag=eo=>{const{targetDocument:to,theme:ro,rendererAttributes:no}=eo,oo=reactExports.useRef(),io=useId$1(fluentProviderClassNames.root),so=no,ao=reactExports.useMemo(()=>createCSSRuleFromTheme(`.${io}`,ro),[ro,io]);return useHandleSSRStyleElements(to,io),useInsertionEffect$1(()=>{const lo=to==null?void 0:to.getElementById(io);return lo?oo.current=lo:(oo.current=createStyleTag(to,{...so,id:io}),oo.current&&insertSheet(oo.current,ao)),()=>{var uo;(uo=oo.current)===null||uo===void 0||uo.remove()}},[io,to,ao,so]),{styleTagId:io,rule:ao}};function useHandleSSRStyleElements(eo,to){reactExports.useState(()=>{if(!eo)return;const ro=eo.getElementById(to);ro&&eo.head.append(ro)})}const EMPTY_OBJECT={},useFluentProvider_unstable=(eo,to)=>{const ro=useFluent(),no=useTheme(),oo=useOverrides(),io=reactExports.useContext(CustomStyleHooksContext)||EMPTY_OBJECT,{applyStylesToPortals:so=!0,customStyleHooks_unstable:ao,dir:lo=ro.dir,targetDocument:uo=ro.targetDocument,theme:co,overrides_unstable:fo={}}=eo,ho=shallowMerge(no,co),po=shallowMerge(oo,fo),go=shallowMerge(io,ao),vo=useRenderer();var bo;const{styleTagId:xo,rule:_o}=useFluentProviderThemeStyleTag({theme:ho,targetDocument:uo,rendererAttributes:(bo=vo.styleElementAttributes)!==null&&bo!==void 0?bo:{}});return{applyStylesToPortals:so,customStyleHooks_unstable:go,dir:lo,targetDocument:uo,theme:ho,overrides_unstable:po,themeClassName:xo,components:{root:"div"},root:always(getIntrinsicElementProps("div",{...eo,dir:lo,ref:useMergedRefs$1(to,useFocusVisible({targetDocument:uo}))}),{elementType:"div"}),serverStyleProps:{cssRule:_o,attributes:{...vo.styleElementAttributes,id:xo}}}};function shallowMerge(eo,to){return eo&&to?{...eo,...to}:eo||to}function useTheme(){return reactExports.useContext(ThemeContext$2)}function useFluentProviderContextValues_unstable(eo){const{applyStylesToPortals:to,customStyleHooks_unstable:ro,dir:no,root:oo,targetDocument:io,theme:so,themeClassName:ao,overrides_unstable:lo}=eo,uo=reactExports.useMemo(()=>({dir:no,targetDocument:io}),[no,io]),[co]=reactExports.useState(()=>({})),fo=reactExports.useMemo(()=>({textDirection:no}),[no]);return{customStyleHooks_unstable:ro,overrides_unstable:lo,provider:uo,textDirection:no,iconDirection:fo,tooltip:co,theme:so,themeClassName:to?oo.className:ao}}const FluentProvider=reactExports.forwardRef((eo,to)=>{const ro=useFluentProvider_unstable(eo,to);useFluentProviderStyles_unstable(ro);const no=useFluentProviderContextValues_unstable(ro);return renderFluentProvider_unstable(ro,no)});FluentProvider.displayName="FluentProvider";const createProvider=eo=>ro=>{const no=reactExports.useRef(ro.value),oo=reactExports.useRef(0),io=reactExports.useRef();return io.current||(io.current={value:no,version:oo,listeners:[]}),useIsomorphicLayoutEffect$1(()=>{no.current=ro.value,oo.current+=1,schedulerExports.unstable_runWithPriority(schedulerExports.unstable_NormalPriority,()=>{io.current.listeners.forEach(so=>{so([oo.current,ro.value])})})},[ro.value]),reactExports.createElement(eo,{value:io.current},ro.children)},createContext=eo=>{const to=reactExports.createContext({value:{current:eo},version:{current:-1},listeners:[]});return to.Provider=createProvider(to.Provider),delete to.Consumer,to},useContextSelector=(eo,to)=>{const ro=reactExports.useContext(eo),{value:{current:no},version:{current:oo},listeners:io}=ro,so=to(no),[ao,lo]=reactExports.useReducer((uo,co)=>{if(!co)return[no,so];if(co[0]<=oo)return objectIs(uo[1],so)?uo:[no,so];try{if(objectIs(uo[0],co[1]))return uo;const fo=to(co[1]);return objectIs(uo[1],fo)?uo:[co[1],fo]}catch{}return[uo[0],uo[1]]},[no,so]);return objectIs(ao[1],so)||lo(void 0),useIsomorphicLayoutEffect$1(()=>(io.push(lo),()=>{const uo=io.indexOf(lo);io.splice(uo,1)}),[io]),ao[1]};function is$3(eo,to){return eo===to&&(eo!==0||1/eo===1/to)||eo!==eo&&to!==to}const objectIs=typeof Object.is=="function"?Object.is:is$3;function useHasParentContext(eo){const to=reactExports.useContext(eo);return to.version?to.version.current!==-1:!1}const AccordionContext=createContext(void 0),accordionContextDefaultValue={openItems:[],collapsible:!1,multiple:!1,navigation:void 0,requestToggle(){}},{Provider:AccordionProvider}=AccordionContext,useAccordionContext_unstable=eo=>useContextSelector(AccordionContext,(to=accordionContextDefaultValue)=>eo(to)),renderAccordion_unstable=(eo,to)=>jsx$1(eo.root,{children:jsx$1(AccordionProvider,{value:to.accordion,children:eo.root.children})}),useAccordion_unstable=(eo,to)=>{const{openItems:ro,defaultOpenItems:no,multiple:oo=!1,collapsible:io=!1,onToggle:so,navigation:ao}=eo,[lo,uo]=useControllableState({state:reactExports.useMemo(()=>normalizeValues(ro),[ro]),defaultState:()=>initializeUncontrolledOpenItems({defaultOpenItems:no,multiple:oo}),initialState:[]}),co=useArrowNavigationGroup({circular:ao==="circular",tabbable:!0}),fo=useEventCallback$3(ho=>{const po=updateOpenItems(ho.value,lo,oo,io);so==null||so(ho.event,{value:ho.value,openItems:po}),uo(po)});return{collapsible:io,multiple:oo,navigation:ao,openItems:lo,requestToggle:fo,components:{root:"div"},root:always(getIntrinsicElementProps("div",{...eo,...ao?co:void 0,ref:to}),{elementType:"div"})}};function initializeUncontrolledOpenItems({defaultOpenItems:eo,multiple:to}){return eo!==void 0?Array.isArray(eo)?to?eo:[eo[0]]:[eo]:[]}function updateOpenItems(eo,to,ro,no){if(ro)if(to.includes(eo)){if(to.length>1||no)return to.filter(oo=>oo!==eo)}else return[...to,eo].sort();else return to[0]===eo&&no?[]:[eo];return to}function normalizeValues(eo){if(eo!==void 0)return Array.isArray(eo)?eo:[eo]}function useAccordionContextValues_unstable(eo){const{navigation:to,openItems:ro,requestToggle:no,multiple:oo,collapsible:io}=eo;return{accordion:{navigation:to,openItems:ro,requestToggle:no,collapsible:io,multiple:oo}}}const accordionClassNames={root:"fui-Accordion"},useAccordionStyles_unstable=eo=>(eo.root.className=mergeClasses(accordionClassNames.root,eo.root.className),eo),Accordion=reactExports.forwardRef((eo,to)=>{const ro=useAccordion_unstable(eo,to),no=useAccordionContextValues_unstable(ro);return useAccordionStyles_unstable(ro),useCustomStyleHook("useAccordionStyles_unstable")(ro),renderAccordion_unstable(ro,no)});Accordion.displayName="Accordion";const useAccordionItem_unstable=(eo,to)=>{const{value:ro,disabled:no=!1}=eo,oo=useAccordionContext_unstable(ao=>ao.requestToggle),io=useAccordionContext_unstable(ao=>ao.openItems.includes(ro)),so=useEventCallback$3(ao=>oo({event:ao,value:ro}));return{open:io,value:ro,disabled:no,onHeaderClick:so,components:{root:"div"},root:always(getIntrinsicElementProps("div",{ref:to,...eo}),{elementType:"div"})}};function useAccordionItemContextValues_unstable(eo){const{disabled:to,open:ro,value:no,onHeaderClick:oo}=eo;return{accordionItem:reactExports.useMemo(()=>({disabled:to,open:ro,value:no,onHeaderClick:oo}),[to,ro,no,oo])}}const AccordionItemContext=reactExports.createContext(void 0),accordionItemContextDefaultValue={open:!1,disabled:!1,value:void 0,onHeaderClick(){}},{Provider:AccordionItemProvider}=AccordionItemContext,useAccordionItemContext_unstable=()=>{var eo;return(eo=reactExports.useContext(AccordionItemContext))!==null&&eo!==void 0?eo:accordionItemContextDefaultValue},renderAccordionItem_unstable=(eo,to)=>jsx$1(eo.root,{children:jsx$1(AccordionItemProvider,{value:to.accordionItem,children:eo.root.children})}),accordionItemClassNames={root:"fui-AccordionItem"},useAccordionItemStyles_unstable=eo=>(eo.root.className=mergeClasses(accordionItemClassNames.root,eo.root.className),eo),AccordionItem=reactExports.forwardRef((eo,to)=>{const ro=useAccordionItem_unstable(eo,to),no=useAccordionItemContextValues_unstable(ro);return useAccordionItemStyles_unstable(ro),useCustomStyleHook("useAccordionItemStyles_unstable")(ro),renderAccordionItem_unstable(ro,no)});AccordionItem.displayName="AccordionItem";const Enter="Enter",Space=" 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vo=go.key;if(co&&(vo===Enter||vo===Space)){go.preventDefault(),go.stopPropagation();return}vo===Space&&(go.preventDefault(),go.currentTarget.click())});if(eo==="button"||eo===void 0)return{...lo,disabled:ro&&!no,"aria-disabled":no?!0:uo,onClick:no?void 0:fo,onKeyUp:no?void 0:ao,onKeyDown:no?void 0:so};{const go={role:"button",tabIndex:ro&&!no?void 0:0,...lo,onClick:fo,onKeyUp:po,onKeyDown:ho,"aria-disabled":ro||no||uo};return eo==="a"&&co&&(go.href=void 0),go}}const useAccordionHeader_unstable=(eo,to)=>{const{icon:ro,button:no,expandIcon:oo,inline:io=!1,size:so="medium",expandIconPosition:ao="start"}=eo,{value:lo,disabled:uo,open:co}=useAccordionItemContext_unstable(),fo=useAccordionContext_unstable(bo=>bo.requestToggle),ho=useAccordionContext_unstable(bo=>!bo.collapsible&&bo.openItems.length===1&&co),{dir:po}=useFluent();let go;ao==="end"?go=co?-90:90:go=co?90:po!=="rtl"?0:180;const vo=always(no,{elementType:"button",defaultProps:{disabled:uo,disabledFocusable:ho,"aria-expanded":co,type:"button"}});return vo.onClick=useEventCallback$3(bo=>{if(isResolvedShorthand(no)){var xo;(xo=no.onClick)===null||xo===void 0||xo.call(no,bo)}bo.defaultPrevented||fo({value:lo,event:bo})}),{disabled:uo,open:co,size:so,inline:io,expandIconPosition:ao,components:{root:"div",button:"button",expandIcon:"span",icon:"div"},root:always(getIntrinsicElementProps("div",{ref:to,...eo}),{elementType:"div"}),icon:optional(ro,{elementType:"div"}),expandIcon:optional(oo,{renderByDefault:!0,defaultProps:{children:reactExports.createElement(ChevronRightRegular,{style:{transform:`rotate(${go}deg)`}}),"aria-hidden":!0},elementType:"span"}),button:useARIAButtonProps(vo.as,vo)}},AccordionHeaderContext=reactExports.createContext(void 0),{Provider:AccordionHeaderProvider}=AccordionHeaderContext,renderAccordionHeader_unstable=(eo,to)=>jsx$1(AccordionHeaderProvider,{value:to.accordionHeader,children:jsx$1(eo.root,{children:jsxs(eo.button,{children:[eo.expandIconPosition==="start"&&eo.expandIcon&&jsx$1(eo.expandIcon,{}),eo.icon&&jsx$1(eo.icon,{}),eo.root.children,eo.expandIconPosition==="end"&&eo.expandIcon&&jsx$1(eo.expandIcon,{})]})})}),accordionHeaderClassNames={root:"fui-AccordionHeader",button:"fui-AccordionHeader__button",expandIcon:"fui-AccordionHeader__expandIcon",icon:"fui-AccordionHeader__icon"},useStyles$B=__styles({resetButton:{B7ck84d:"f1e4lqlz",De3pzq:"f1u2r49w",sj55zd:"f1ym3bx4",Bahqtrf:"f1mo0ibp",Be2twd7:"fjoy568",Bg96gwp:"fytdu2e",B68tc82:"f1mtd64y",Bmxbyg5:"f1y7q3j9",z8tnut:"f1g0x7ka",z189sj:["fhxju0i","f1cnd47f"],Byoj8tv:"f1qch9an",uwmqm3:["f1cnd47f","fhxju0i"],Bv0vk6g:"f37px4s",fsow6f:"fgusgyc"},focusIndicator:{Brovlpu:"ftqa4ok",B486eqv:"f2hkw1w",B8q5s1w:"f8hki3x",Bci5o5g:["f1d2448m","ffh67wi"],n8qw10:"f1bjia2o",Bdrgwmp:["ffh67wi","f1d2448m"],Bb7d1vk:"f226i61",zhwhgb:["f13kzufm","fsx75g8"],dhy2o1:"flujwa2",Gfyso:["fsx75g8","f13kzufm"],Bm4h7ae:"f15bsgw9",B7ys5i9:"f14e48fq",Busjfv9:"f18yb2kv",Bhk32uz:"fd6o370",Bf4ptjt:"fh1cnn4",kclons:["fy7oxxb","f184ne2d"],Bhdgwq3:"fpukqih",Blkhhs4:["f184ne2d","fy7oxxb"],Bqtpl0w:"frrh606",clg4pj:["f1v5zibi","fo2hd23"],hgwjuy:"ful5kiu",Bonggc9:["fo2hd23","f1v5zibi"],B1tsrr9:["f1jqcqds","ftffrms"],Dah5zi:["ftffrms","f1jqcqds"],Bkh64rk:["f2e7qr6","fsr1zz6"],qqdqy8:["fsr1zz6","f2e7qr6"],B6dhp37:"f1dvezut",i03rao:["fd0oaoj","f1cwg4i8"],Boxcth7:"fjvm52t",Bsom6fd:["f1cwg4i8","fd0oaoj"],J0r882:"f57olzd",Bule8hv:["f4stah7","fs1por5"],Bjwuhne:"f480a47",Ghsupd:["fs1por5","f4stah7"]},root:{sj55zd:"f19n0e5",De3pzq:"f1c21dwh",B6of3ja:"f1hu3pq6",t21cq0:["f11qmguv","f1tyq0we"],jrapky:"f19f4twv",Frg6f3:["f1tyq0we","f11qmguv"],Bbmb7ep:["f1aa9q02","f16jpd5f"],Beyfa6y:["f16jpd5f","f1aa9q02"],B7oj6ja:["f1jar5jt","fyu767a"],Btl43ni:["fyu767a","f1jar5jt"]},rootDisabled:{Bcmaq0h:"fwrgwhw",sj55zd:"f1s2aq7o"},rootInline:{mc9l5x:"f14t3ns0"},button:{qhf8xq:"f10pi13n",a9b677:"fly5x3f",B4j52fo:"f5ogflp",Bekrc4i:["f1hqa2wf","finvdd3"],Bn0qgzm:"f1f09k3d",ibv6hh:["finvdd3","f1hqa2wf"],icvyot:"fzkkow9",vrafjx:["fcdblym","fjik90z"],oivjwe:"fg706s2",wvpqe5:["fjik90z","fcdblym"],g2u3we:"f1p3nwhy",h3c5rm:["f11589ue","f1pdflbu"],B9xav0g:"f1q5o8ev",zhjwy3:["f1pdflbu","f11589ue"],z8tnut:"f1g0x7ka",z189sj:["fw5db7e","f1uw59to"],Byoj8tv:"f1qch9an",uwmqm3:["f1ng84yb","f11gcy0p"],sshi5w:"f5pgtk9",mc9l5x:"f22iagw",Bt984gj:"f122n59",Bceei9c:"f1k6fduh",Bahqtrf:"fk6fouc",Be2twd7:"fkhj508",Bhrd7zp:"figsok6",Bg96gwp:"f1i3iumi",B7ck84d:"f1ewtqcl"},buttonSmall:{sshi5w:"f1nxs5xn",Be2twd7:"fy9rknc"},buttonLarge:{Bg96gwp:"faaz57k",Be2twd7:"fod5ikn"},buttonExtraLarge:{Bg96gwp:"f106mvju",Be2twd7:"f1pp30po"},buttonInline:{mc9l5x:"ftuwxu6"},buttonExpandIconEndNoIcon:{uwmqm3:["f1uw59to","fw5db7e"]},buttonExpandIconEnd:{z189sj:["f11gcy0p","f1ng84yb"]},buttonDisabled:{Bceei9c:"fdrzuqr"},expandIcon:{Bqenvij:"f1l02sjl",mc9l5x:"f22iagw",Bt984gj:"f122n59",Bg96gwp:"f106mvju",Be2twd7:"f1pp30po"},expandIconStart:{z189sj:["f1vdfbxk","f1f5gg8d"]},expandIconEnd:{Bh6795r:"fqerorx",Bnnss6s:"f1neuvcm",xawz:"flqd7gy",mc9l5x:"f22iagw",Brf1p80:"f9c4gz4",uwmqm3:["f1f5gg8d","f1vdfbxk"]},icon:{Bqenvij:"f1l02sjl",mc9l5x:"f22iagw",Bt984gj:"f122n59",z189sj:["f1vdfbxk","f1f5gg8d"],Bg96gwp:"f106mvju",Be2twd7:"f1pp30po"}},{d:[".f1e4lqlz{box-sizing:content-box;}",".f1u2r49w{background-color:inherit;}",".f1ym3bx4{color:inherit;}",".f1mo0ibp{font-family:inherit;}",".fjoy568{font-size:inherit;}",".fytdu2e{line-height:normal;}",".f1mtd64y{overflow-x:visible;}",".f1y7q3j9{overflow-y:visible;}",".f1g0x7ka{padding-top:0;}",".fhxju0i{padding-right:0;}",".f1cnd47f{padding-left:0;}",".f1qch9an{padding-bottom:0;}",".f37px4s{-webkit-appearance:button;}",".fgusgyc{text-align:unset;}",".f8hki3x[data-fui-focus-visible]{border-top-color:transparent;}",".f1d2448m[data-fui-focus-visible]{border-right-color:transparent;}",".ffh67wi[data-fui-focus-visible]{border-left-color:transparent;}",".f1bjia2o[data-fui-focus-visible]{border-bottom-color:transparent;}",'.f15bsgw9[data-fui-focus-visible]::after{content:"";}',".f14e48fq[data-fui-focus-visible]::after{position:absolute;}",".f18yb2kv[data-fui-focus-visible]::after{pointer-events:none;}",".fd6o370[data-fui-focus-visible]::after{z-index:1;}",".fh1cnn4[data-fui-focus-visible]::after{border-top-style:solid;}",".fy7oxxb[data-fui-focus-visible]::after{border-right-style:solid;}",".f184ne2d[data-fui-focus-visible]::after{border-left-style:solid;}",".fpukqih[data-fui-focus-visible]::after{border-bottom-style:solid;}",".frrh606[data-fui-focus-visible]::after{border-top-width:2px;}",".f1v5zibi[data-fui-focus-visible]::after{border-right-width:2px;}",".fo2hd23[data-fui-focus-visible]::after{border-left-width:2px;}",".ful5kiu[data-fui-focus-visible]::after{border-bottom-width:2px;}",".f1jqcqds[data-fui-focus-visible]::after{border-bottom-right-radius:var(--borderRadiusMedium);}",".ftffrms[data-fui-focus-visible]::after{border-bottom-left-radius:var(--borderRadiusMedium);}",".f2e7qr6[data-fui-focus-visible]::after{border-top-right-radius:var(--borderRadiusMedium);}",".fsr1zz6[data-fui-focus-visible]::after{border-top-left-radius:var(--borderRadiusMedium);}",".f1dvezut[data-fui-focus-visible]::after{border-top-color:var(--colorStrokeFocus2);}",".fd0oaoj[data-fui-focus-visible]::after{border-right-color:var(--colorStrokeFocus2);}",".f1cwg4i8[data-fui-focus-visible]::after{border-left-color:var(--colorStrokeFocus2);}",".fjvm52t[data-fui-focus-visible]::after{border-bottom-color:var(--colorStrokeFocus2);}",".f57olzd[data-fui-focus-visible]::after{top:calc(2px * -1);}",".f4stah7[data-fui-focus-visible]::after{right:calc(2px * -1);}",".fs1por5[data-fui-focus-visible]::after{left:calc(2px * -1);}",".f480a47[data-fui-focus-visible]::after{bottom:calc(2px * -1);}",".f19n0e5{color:var(--colorNeutralForeground1);}",".f1c21dwh{background-color:var(--colorTransparentBackground);}",".f1hu3pq6{margin-top:0;}",".f11qmguv{margin-right:0;}",".f1tyq0we{margin-left:0;}",".f19f4twv{margin-bottom:0;}",".f1aa9q02{border-bottom-right-radius:var(--borderRadiusMedium);}",".f16jpd5f{border-bottom-left-radius:var(--borderRadiusMedium);}",".f1jar5jt{border-top-right-radius:var(--borderRadiusMedium);}",".fyu767a{border-top-left-radius:var(--borderRadiusMedium);}",".fwrgwhw{background-image:none;}",".f1s2aq7o{color:var(--colorNeutralForegroundDisabled);}",".f14t3ns0{display:inline-block;}",".f10pi13n{position:relative;}",".fly5x3f{width:100%;}",".f5ogflp{border-top-width:1px;}",".f1hqa2wf{border-right-width:1px;}",".finvdd3{border-left-width:1px;}",".f1f09k3d{border-bottom-width:1px;}",".fzkkow9{border-top-style:solid;}",".fcdblym{border-right-style:solid;}",".fjik90z{border-left-style:solid;}",".fg706s2{border-bottom-style:solid;}",".f1p3nwhy{border-top-color:transparent;}",".f11589ue{border-right-color:transparent;}",".f1pdflbu{border-left-color:transparent;}",".f1q5o8ev{border-bottom-color:transparent;}",".fw5db7e{padding-right:var(--spacingHorizontalM);}",".f1uw59to{padding-left:var(--spacingHorizontalM);}",".f1ng84yb{padding-left:var(--spacingHorizontalMNudge);}",".f11gcy0p{padding-right:var(--spacingHorizontalMNudge);}",".f5pgtk9{min-height:44px;}",".f22iagw{display:flex;}",".f122n59{align-items:center;}",".f1k6fduh{cursor:pointer;}",".fk6fouc{font-family:var(--fontFamilyBase);}",".fkhj508{font-size:var(--fontSizeBase300);}",".figsok6{font-weight:var(--fontWeightRegular);}",".f1i3iumi{line-height:var(--lineHeightBase300);}",".f1ewtqcl{box-sizing:border-box;}",".f1nxs5xn{min-height:32px;}",".fy9rknc{font-size:var(--fontSizeBase200);}",".faaz57k{line-height:var(--lineHeightBase400);}",".fod5ikn{font-size:var(--fontSizeBase400);}",".f106mvju{line-height:var(--lineHeightBase500);}",".f1pp30po{font-size:var(--fontSizeBase500);}",".ftuwxu6{display:inline-flex;}",".fdrzuqr{cursor:not-allowed;}",".f1l02sjl{height:100%;}",".f1vdfbxk{padding-right:var(--spacingHorizontalS);}",".f1f5gg8d{padding-left:var(--spacingHorizontalS);}",".fqerorx{flex-grow:1;}",".f1neuvcm{flex-shrink:1;}",".flqd7gy{flex-basis:0%;}",".f9c4gz4{justify-content:flex-end;}"],f:[".ftqa4ok:focus{outline-style:none;}"],i:[".f2hkw1w:focus-visible{outline-style:none;}"],m:[["@media (forced-colors: active){.f226i61[data-fui-focus-visible]::after{border-top-color:Highlight;}}",{m:"(forced-colors: active)"}],["@media (forced-colors: active){.f13kzufm[data-fui-focus-visible]::after{border-right-color:Highlight;}.fsx75g8[data-fui-focus-visible]::after{border-left-color:Highlight;}}",{m:"(forced-colors: active)"}],["@media (forced-colors: active){.flujwa2[data-fui-focus-visible]::after{border-bottom-color:Highlight;}}",{m:"(forced-colors: active)"}]]}),useAccordionHeaderStyles_unstable=eo=>{const to=useStyles$B();return eo.root.className=mergeClasses(accordionHeaderClassNames.root,to.root,eo.inline&&to.rootInline,eo.disabled&&to.rootDisabled,eo.root.className),eo.button.className=mergeClasses(accordionHeaderClassNames.button,to.resetButton,to.button,to.focusIndicator,eo.expandIconPosition==="end"&&!eo.icon&&to.buttonExpandIconEndNoIcon,eo.expandIconPosition==="end"&&to.buttonExpandIconEnd,eo.inline&&to.buttonInline,eo.size==="small"&&to.buttonSmall,eo.size==="large"&&to.buttonLarge,eo.size==="extra-large"&&to.buttonExtraLarge,eo.disabled&&to.buttonDisabled,eo.button.className),eo.expandIcon&&(eo.expandIcon.className=mergeClasses(accordionHeaderClassNames.expandIcon,to.expandIcon,eo.expandIconPosition==="start"&&to.expandIconStart,eo.expandIconPosition==="end"&&to.expandIconEnd,eo.expandIcon.className)),eo.icon&&(eo.icon.className=mergeClasses(accordionHeaderClassNames.icon,to.icon,eo.icon.className)),eo};function useAccordionHeaderContextValues_unstable(eo){const{disabled:to,expandIconPosition:ro,open:no,size:oo}=eo;return{accordionHeader:reactExports.useMemo(()=>({disabled:to,expandIconPosition:ro,open:no,size:oo}),[to,ro,no,oo])}}const AccordionHeader=reactExports.forwardRef((eo,to)=>{const ro=useAccordionHeader_unstable(eo,to),no=useAccordionHeaderContextValues_unstable(ro);return useAccordionHeaderStyles_unstable(ro),useCustomStyleHook("useAccordionHeaderStyles_unstable")(ro),renderAccordionHeader_unstable(ro,no)});AccordionHeader.displayName="AccordionHeader";const useAccordionPanel_unstable=(eo,to)=>{const{open:ro}=useAccordionItemContext_unstable(),no=useTabsterAttributes({focusable:{excludeFromMover:!0}}),oo=useAccordionContext_unstable(io=>io.navigation);return{open:ro,components:{root:"div"},root:always(getIntrinsicElementProps("div",{ref:to,...eo,...oo&&no}),{elementType:"div"})}},renderAccordionPanel_unstable=eo=>eo.open?jsx$1(eo.root,{children:eo.root.children}):null,accordionPanelClassNames={root:"fui-AccordionPanel"},useStyles$A=__styles({root:{B6of3ja:"f1hu3pq6",t21cq0:["fkujibs","f199hnxi"],jrapky:"f19f4twv",Frg6f3:["f199hnxi","fkujibs"]}},{d:[".f1hu3pq6{margin-top:0;}",".fkujibs{margin-right:var(--spacingHorizontalM);}",".f199hnxi{margin-left:var(--spacingHorizontalM);}",".f19f4twv{margin-bottom:0;}"]}),useAccordionPanelStyles_unstable=eo=>{const to=useStyles$A();return eo.root.className=mergeClasses(accordionPanelClassNames.root,to.root,eo.root.className),eo},AccordionPanel=reactExports.forwardRef((eo,to)=>{const ro=useAccordionPanel_unstable(eo,to);return useAccordionPanelStyles_unstable(ro),useCustomStyleHook("useAccordionPanelStyles_unstable")(ro),renderAccordionPanel_unstable(ro)});AccordionPanel.displayName="AccordionPanel";const 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DATA_POSITIONING_INTERSECTING="data-popper-is-intersecting",DATA_POSITIONING_ESCAPED="data-popper-escaped",DATA_POSITIONING_HIDDEN="data-popper-reference-hidden",DATA_POSITIONING_PLACEMENT="data-popper-placement",sides=["top","right","bottom","left"],min$2=Math.min,max$2=Math.max,round$1=Math.round,createCoords=eo=>({x:eo,y:eo}),oppositeSideMap={left:"right",right:"left",bottom:"top",top:"bottom"},oppositeAlignmentMap={start:"end",end:"start"};function clamp$2(eo,to,ro){return max$2(eo,min$2(to,ro))}function evaluate(eo,to){return typeof eo=="function"?eo(to):eo}function getSide(eo){return eo.split("-")[0]}function getAlignment(eo){return eo.split("-")[1]}function getOppositeAxis(eo){return eo==="x"?"y":"x"}function getAxisLength(eo){return eo==="y"?"height":"width"}function getSideAxis(eo){return["top","bottom"].includes(getSide(eo))?"y":"x"}function getAlignmentAxis(eo){return getOppositeAxis(getSideAxis(eo))}function getAlignmentSides(eo,to,ro){ro===void 0&&(ro=!1);const no=getAlignment(eo),oo=getAlignmentAxis(eo),io=getAxisLength(oo);let so=oo==="x"?no===(ro?"end":"start")?"right":"left":no==="start"?"bottom":"top";return to.reference[io]>to.floating[io]&&(so=getOppositePlacement(so)),[so,getOppositePlacement(so)]}function getExpandedPlacements(eo){const to=getOppositePlacement(eo);return[getOppositeAlignmentPlacement(eo),to,getOppositeAlignmentPlacement(to)]}function getOppositeAlignmentPlacement(eo){return eo.replace(/start|end/g,to=>oppositeAlignmentMap[to])}function getSideList(eo,to,ro){const no=["left","right"],oo=["right","left"],io=["top","bottom"],so=["bottom","top"];switch(eo){case"top":case"bottom":return ro?to?oo:no:to?no:oo;case"left":case"right":return to?io:so;default:return[]}}function getOppositeAxisPlacements(eo,to,ro,no){const oo=getAlignment(eo);let io=getSideList(getSide(eo),ro==="start",no);return oo&&(io=io.map(so=>so+"-"+oo),to&&(io=io.concat(io.map(getOppositeAlignmentPlacement)))),io}function getOppositePlacement(eo){return eo.replace(/left|right|bottom|top/g,to=>oppositeSideMap[to])}function expandPaddingObject(eo){return{top:0,right:0,bottom:0,left:0,...eo}}function getPaddingObject(eo){return typeof eo!="number"?expandPaddingObject(eo):{top:eo,right:eo,bottom:eo,left:eo}}function rectToClientRect(eo){return{...eo,top:eo.y,left:eo.x,right:eo.x+eo.width,bottom:eo.y+eo.height}}function computeCoordsFromPlacement(eo,to,ro){let{reference:no,floating:oo}=eo;const io=getSideAxis(to),so=getAlignmentAxis(to),ao=getAxisLength(so),lo=getSide(to),uo=io==="y",co=no.x+no.width/2-oo.width/2,fo=no.y+no.height/2-oo.height/2,ho=no[ao]/2-oo[ao]/2;let po;switch(lo){case"top":po={x:co,y:no.y-oo.height};break;case"bottom":po={x:co,y:no.y+no.height};break;case"right":po={x:no.x+no.width,y:fo};break;case"left":po={x:no.x-oo.width,y:fo};break;default:po={x:no.x,y:no.y}}switch(getAlignment(to)){case"start":po[so]-=ho*(ro&&uo?-1:1);break;case"end":po[so]+=ho*(ro&&uo?-1:1);break}return po}const computePosition$1=async(eo,to,ro)=>{const{placement:no="bottom",strategy:oo="absolute",middleware:io=[],platform:so}=ro,ao=io.filter(Boolean),lo=await(so.isRTL==null?void 0:so.isRTL(to));let uo=await so.getElementRects({reference:eo,floating:to,strategy:oo}),{x:co,y:fo}=computeCoordsFromPlacement(uo,no,lo),ho=no,po={},go=0;for(let vo=0;vo<ao.length;vo++){const{name:bo,fn:xo}=ao[vo],{x:_o,y:Eo,data:So,reset:To}=await xo({x:co,y:fo,initialPlacement:no,placement:ho,strategy:oo,middlewareData:po,rects:uo,platform:so,elements:{reference:eo,floating:to}});if(co=_o??co,fo=Eo??fo,po={...po,[bo]:{...po[bo],...So}},To&&go<=50){go++,typeof To=="object"&&(To.placement&&(ho=To.placement),To.rects&&(uo=To.rects===!0?await so.getElementRects({reference:eo,floating:to,strategy:oo}):To.rects),{x:co,y:fo}=computeCoordsFromPlacement(uo,ho,lo)),vo=-1;continue}}return{x:co,y:fo,placement:ho,strategy:oo,middlewareData:po}};async function detectOverflow(eo,to){var ro;to===void 0&&(to={});const{x:no,y:oo,platform:io,rects:so,elements:ao,strategy:lo}=eo,{boundary:uo="clippingAncestors",rootBoundary:co="viewport",elementContext:fo="floating",altBoundary:ho=!1,padding:po=0}=evaluate(to,eo),go=getPaddingObject(po),bo=ao[ho?fo==="floating"?"reference":"floating":fo],xo=rectToClientRect(await io.getClippingRect({element:(ro=await(io.isElement==null?void 0:io.isElement(bo)))==null||ro?bo:bo.contextElement||await(io.getDocumentElement==null?void 0:io.getDocumentElement(ao.floating)),boundary:uo,rootBoundary:co,strategy:lo})),_o=fo==="floating"?{...so.floating,x:no,y:oo}:so.reference,Eo=await(io.getOffsetParent==null?void 0:io.getOffsetParent(ao.floating)),So=await(io.isElement==null?void 0:io.isElement(Eo))?await(io.getScale==null?void 0:io.getScale(Eo))||{x:1,y:1}:{x:1,y:1},To=rectToClientRect(io.convertOffsetParentRelativeRectToViewportRelativeRect?await io.convertOffsetParentRelativeRectToViewportRelativeRect({rect:_o,offsetParent:Eo,strategy:lo}):_o);return{top:(xo.top-To.top+go.top)/So.y,bottom:(To.bottom-xo.bottom+go.bottom)/So.y,left:(xo.left-To.left+go.left)/So.x,right:(To.right-xo.right+go.right)/So.x}}const arrow$1=eo=>({name:"arrow",options:eo,async fn(to){const{x:ro,y:no,placement:oo,rects:io,platform:so,elements:ao,middlewareData:lo}=to,{element:uo,padding:co=0}=evaluate(eo,to)||{};if(uo==null)return{};const fo=getPaddingObject(co),ho={x:ro,y:no},po=getAlignmentAxis(oo),go=getAxisLength(po),vo=await so.getDimensions(uo),bo=po==="y",xo=bo?"top":"left",_o=bo?"bottom":"right",Eo=bo?"clientHeight":"clientWidth",So=io.reference[go]+io.reference[po]-ho[po]-io.floating[go],To=ho[po]-io.reference[po],wo=await(so.getOffsetParent==null?void 0:so.getOffsetParent(uo));let Co=wo?wo[Eo]:0;(!Co||!await(so.isElement==null?void 0:so.isElement(wo)))&&(Co=ao.floating[Eo]||io.floating[go]);const Oo=So/2-To/2,Ao=Co/2-vo[go]/2-1,Ro=min$2(fo[xo],Ao),No=min$2(fo[_o],Ao),Mo=Ro,Do=Co-vo[go]-No,jo=Co/2-vo[go]/2+Oo,Fo=clamp$2(Mo,jo,Do),$o=!lo.arrow&&getAlignment(oo)!=null&&jo!=Fo&&io.reference[go]/2-(jo<Mo?Ro:No)-vo[go]/2<0,Lo=$o?jo<Mo?jo-Mo:jo-Do:0;return{[po]:ho[po]+Lo,data:{[po]:Fo,centerOffset:jo-Fo-Lo,...$o&&{alignmentOffset:Lo}},reset:$o}}}),flip$1=function(eo){return eo===void 0&&(eo={}),{name:"flip",options:eo,async fn(to){var ro,no;const{placement:oo,middlewareData:io,rects:so,initialPlacement:ao,platform:lo,elements:uo}=to,{mainAxis:co=!0,crossAxis:fo=!0,fallbackPlacements:ho,fallbackStrategy:po="bestFit",fallbackAxisSideDirection:go="none",flipAlignment:vo=!0,...bo}=evaluate(eo,to);if((ro=io.arrow)!=null&&ro.alignmentOffset)return{};const xo=getSide(oo),_o=getSide(ao)===ao,Eo=await(lo.isRTL==null?void 0:lo.isRTL(uo.floating)),So=ho||(_o||!vo?[getOppositePlacement(ao)]:getExpandedPlacements(ao));!ho&&go!=="none"&&So.push(...getOppositeAxisPlacements(ao,vo,go,Eo));const To=[ao,...So],wo=await detectOverflow(to,bo),Co=[];let Oo=((no=io.flip)==null?void 0:no.overflows)||[];if(co&&Co.push(wo[xo]),fo){const Mo=getAlignmentSides(oo,so,Eo);Co.push(wo[Mo[0]],wo[Mo[1]])}if(Oo=[...Oo,{placement:oo,overflows:Co}],!Co.every(Mo=>Mo<=0)){var Ao,Ro;const Mo=(((Ao=io.flip)==null?void 0:Ao.index)||0)+1,Do=To[Mo];if(Do)return{data:{index:Mo,overflows:Oo},reset:{placement:Do}};let jo=(Ro=Oo.filter(Fo=>Fo.overflows[0]<=0).sort((Fo,$o)=>Fo.overflows[1]-$o.overflows[1])[0])==null?void 0:Ro.placement;if(!jo)switch(po){case"bestFit":{var No;const Fo=(No=Oo.map($o=>[$o.placement,$o.overflows.filter(Lo=>Lo>0).reduce((Lo,Ho)=>Lo+Ho,0)]).sort(($o,Lo)=>$o[1]-Lo[1])[0])==null?void 0:No[0];Fo&&(jo=Fo);break}case"initialPlacement":jo=ao;break}if(oo!==jo)return{reset:{placement:jo}}}return{}}}};function getSideOffsets(eo,to){return{top:eo.top-to.height,right:eo.right-to.width,bottom:eo.bottom-to.height,left:eo.left-to.width}}function isAnySideFullyClipped(eo){return sides.some(to=>eo[to]>=0)}const hide=function(eo){return eo===void 0&&(eo={}),{name:"hide",options:eo,async fn(to){const{rects:ro}=to,{strategy:no="referenceHidden",...oo}=evaluate(eo,to);switch(no){case"referenceHidden":{const io=await detectOverflow(to,{...oo,elementContext:"reference"}),so=getSideOffsets(io,ro.reference);return{data:{referenceHiddenOffsets:so,referenceHidden:isAnySideFullyClipped(so)}}}case"escaped":{const io=await detectOverflow(to,{...oo,altBoundary:!0}),so=getSideOffsets(io,ro.floating);return{data:{escapedOffsets:so,escaped:isAnySideFullyClipped(so)}}}default:return{}}}}};async function convertValueToCoords(eo,to){const{placement:ro,platform:no,elements:oo}=eo,io=await(no.isRTL==null?void 0:no.isRTL(oo.floating)),so=getSide(ro),ao=getAlignment(ro),lo=getSideAxis(ro)==="y",uo=["left","top"].includes(so)?-1:1,co=io&&lo?-1:1,fo=evaluate(to,eo);let{mainAxis:ho,crossAxis:po,alignmentAxis:go}=typeof fo=="number"?{mainAxis:fo,crossAxis:0,alignmentAxis:null}:{mainAxis:0,crossAxis:0,alignmentAxis:null,...fo};return ao&&typeof go=="number"&&(po=ao==="end"?go*-1:go),lo?{x:po*co,y:ho*uo}:{x:ho*uo,y:po*co}}const offset$1=function(eo){return eo===void 0&&(eo=0),{name:"offset",options:eo,async fn(to){var ro,no;const{x:oo,y:io,placement:so,middlewareData:ao}=to,lo=await convertValueToCoords(to,eo);return so===((ro=ao.offset)==null?void 0:ro.placement)&&(no=ao.arrow)!=null&&no.alignmentOffset?{}:{x:oo+lo.x,y:io+lo.y,data:{...lo,placement:so}}}}},shift$2=function(eo){return eo===void 0&&(eo={}),{name:"shift",options:eo,async fn(to){const{x:ro,y:no,placement:oo}=to,{mainAxis:io=!0,crossAxis:so=!1,limiter:ao={fn:bo=>{let{x:xo,y:_o}=bo;return{x:xo,y:_o}}},...lo}=evaluate(eo,to),uo={x:ro,y:no},co=await detectOverflow(to,lo),fo=getSideAxis(getSide(oo)),ho=getOppositeAxis(fo);let po=uo[ho],go=uo[fo];if(io){const bo=ho==="y"?"top":"left",xo=ho==="y"?"bottom":"right",_o=po+co[bo],Eo=po-co[xo];po=clamp$2(_o,po,Eo)}if(so){const bo=fo==="y"?"top":"left",xo=fo==="y"?"bottom":"right",_o=go+co[bo],Eo=go-co[xo];go=clamp$2(_o,go,Eo)}const vo=ao.fn({...to,[ho]:po,[fo]:go});return{...vo,data:{x:vo.x-ro,y:vo.y-no}}}}},limitShift=function(eo){return eo===void 0&&(eo={}),{options:eo,fn(to){const{x:ro,y:no,placement:oo,rects:io,middlewareData:so}=to,{offset:ao=0,mainAxis:lo=!0,crossAxis:uo=!0}=evaluate(eo,to),co={x:ro,y:no},fo=getSideAxis(oo),ho=getOppositeAxis(fo);let po=co[ho],go=co[fo];const vo=evaluate(ao,to),bo=typeof vo=="number"?{mainAxis:vo,crossAxis:0}:{mainAxis:0,crossAxis:0,...vo};if(lo){const Eo=ho==="y"?"height":"width",So=io.reference[ho]-io.floating[Eo]+bo.mainAxis,To=io.reference[ho]+io.reference[Eo]-bo.mainAxis;po<So?po=So:po>To&&(po=To)}if(uo){var xo,_o;const Eo=ho==="y"?"width":"height",So=["top","left"].includes(getSide(oo)),To=io.reference[fo]-io.floating[Eo]+(So&&((xo=so.offset)==null?void 0:xo[fo])||0)+(So?0:bo.crossAxis),wo=io.reference[fo]+io.reference[Eo]+(So?0:((_o=so.offset)==null?void 0:_o[fo])||0)-(So?bo.crossAxis:0);go<To?go=To:go>wo&&(go=wo)}return{[ho]:po,[fo]:go}}}},size=function(eo){return eo===void 0&&(eo={}),{name:"size",options:eo,async fn(to){const{placement:ro,rects:no,platform:oo,elements:io}=to,{apply:so=()=>{},...ao}=evaluate(eo,to),lo=await detectOverflow(to,ao),uo=getSide(ro),co=getAlignment(ro),fo=getSideAxis(ro)==="y",{width:ho,height:po}=no.floating;let go,vo;uo==="top"||uo==="bottom"?(go=uo,vo=co===(await(oo.isRTL==null?void 0:oo.isRTL(io.floating))?"start":"end")?"left":"right"):(vo=uo,go=co==="end"?"top":"bottom");const bo=po-lo[go],xo=ho-lo[vo],_o=!to.middlewareData.shift;let Eo=bo,So=xo;if(fo){const wo=ho-lo.left-lo.right;So=co||_o?min$2(xo,wo):wo}else{const wo=po-lo.top-lo.bottom;Eo=co||_o?min$2(bo,wo):wo}if(_o&&!co){const wo=max$2(lo.left,0),Co=max$2(lo.right,0),Oo=max$2(lo.top,0),Ao=max$2(lo.bottom,0);fo?So=ho-2*(wo!==0||Co!==0?wo+Co:max$2(lo.left,lo.right)):Eo=po-2*(Oo!==0||Ao!==0?Oo+Ao:max$2(lo.top,lo.bottom))}await so({...to,availableWidth:So,availableHeight:Eo});const To=await oo.getDimensions(io.floating);return ho!==To.width||po!==To.height?{reset:{rects:!0}}:{}}}};function getNodeName(eo){return isNode(eo)?(eo.nodeName||"").toLowerCase():"#document"}function getWindow$1(eo){var to;return(eo==null||(to=eo.ownerDocument)==null?void 0:to.defaultView)||window}function getDocumentElement(eo){var to;return(to=(isNode(eo)?eo.ownerDocument:eo.document)||window.document)==null?void 0:to.documentElement}function isNode(eo){return eo instanceof Node||eo instanceof getWindow$1(eo).Node}function isElement$1(eo){return eo instanceof Element||eo instanceof getWindow$1(eo).Element}function isHTMLElement$4(eo){return eo instanceof HTMLElement||eo instanceof getWindow$1(eo).HTMLElement}function isShadowRoot(eo){return typeof ShadowRoot>"u"?!1:eo instanceof ShadowRoot||eo instanceof getWindow$1(eo).ShadowRoot}function isOverflowElement(eo){const{overflow:to,overflowX:ro,overflowY:no,display:oo}=getComputedStyle$1(eo);return/auto|scroll|overlay|hidden|clip/.test(to+no+ro)&&!["inline","contents"].includes(oo)}function isTableElement(eo){return["table","td","th"].includes(getNodeName(eo))}function isContainingBlock(eo){const to=isWebKit(),ro=getComputedStyle$1(eo);return ro.transform!=="none"||ro.perspective!=="none"||(ro.containerType?ro.containerType!=="normal":!1)||!to&&(ro.backdropFilter?ro.backdropFilter!=="none":!1)||!to&&(ro.filter?ro.filter!=="none":!1)||["transform","perspective","filter"].some(no=>(ro.willChange||"").includes(no))||["paint","layout","strict","content"].some(no=>(ro.contain||"").includes(no))}function getContainingBlock(eo){let to=getParentNode$1(eo);for(;isHTMLElement$4(to)&&!isLastTraversableNode(to);){if(isContainingBlock(to))return to;to=getParentNode$1(to)}return null}function isWebKit(){return typeof CSS>"u"||!CSS.supports?!1:CSS.supports("-webkit-backdrop-filter","none")}function isLastTraversableNode(eo){return["html","body","#document"].includes(getNodeName(eo))}function getComputedStyle$1(eo){return getWindow$1(eo).getComputedStyle(eo)}function getNodeScroll(eo){return isElement$1(eo)?{scrollLeft:eo.scrollLeft,scrollTop:eo.scrollTop}:{scrollLeft:eo.pageXOffset,scrollTop:eo.pageYOffset}}function getParentNode$1(eo){if(getNodeName(eo)==="html")return eo;const to=eo.assignedSlot||eo.parentNode||isShadowRoot(eo)&&eo.host||getDocumentElement(eo);return isShadowRoot(to)?to.host:to}function getNearestOverflowAncestor(eo){const to=getParentNode$1(eo);return isLastTraversableNode(to)?eo.ownerDocument?eo.ownerDocument.body:eo.body:isHTMLElement$4(to)&&isOverflowElement(to)?to:getNearestOverflowAncestor(to)}function getOverflowAncestors(eo,to,ro){var no;to===void 0&&(to=[]),ro===void 0&&(ro=!0);const oo=getNearestOverflowAncestor(eo),io=oo===((no=eo.ownerDocument)==null?void 0:no.body),so=getWindow$1(oo);return io?to.concat(so,so.visualViewport||[],isOverflowElement(oo)?oo:[],so.frameElement&&ro?getOverflowAncestors(so.frameElement):[]):to.concat(oo,getOverflowAncestors(oo,[],ro))}function getCssDimensions(eo){const to=getComputedStyle$1(eo);let ro=parseFloat(to.width)||0,no=parseFloat(to.height)||0;const oo=isHTMLElement$4(eo),io=oo?eo.offsetWidth:ro,so=oo?eo.offsetHeight:no,ao=round$1(ro)!==io||round$1(no)!==so;return ao&&(ro=io,no=so),{width:ro,height:no,$:ao}}function unwrapElement(eo){return isElement$1(eo)?eo:eo.contextElement}function getScale$1(eo){const to=unwrapElement(eo);if(!isHTMLElement$4(to))return createCoords(1);const ro=to.getBoundingClientRect(),{width:no,height:oo,$:io}=getCssDimensions(to);let so=(io?round$1(ro.width):ro.width)/no,ao=(io?round$1(ro.height):ro.height)/oo;return(!so||!Number.isFinite(so))&&(so=1),(!ao||!Number.isFinite(ao))&&(ao=1),{x:so,y:ao}}const noOffsets=createCoords(0);function getVisualOffsets(eo){const to=getWindow$1(eo);return!isWebKit()||!to.visualViewport?noOffsets:{x:to.visualViewport.offsetLeft,y:to.visualViewport.offsetTop}}function shouldAddVisualOffsets(eo,to,ro){return to===void 0&&(to=!1),!ro||to&&ro!==getWindow$1(eo)?!1:to}function getBoundingClientRect(eo,to,ro,no){to===void 0&&(to=!1),ro===void 0&&(ro=!1);const oo=eo.getBoundingClientRect(),io=unwrapElement(eo);let so=createCoords(1);to&&(no?isElement$1(no)&&(so=getScale$1(no)):so=getScale$1(eo));const ao=shouldAddVisualOffsets(io,ro,no)?getVisualOffsets(io):createCoords(0);let lo=(oo.left+ao.x)/so.x,uo=(oo.top+ao.y)/so.y,co=oo.width/so.x,fo=oo.height/so.y;if(io){const ho=getWindow$1(io),po=no&&isElement$1(no)?getWindow$1(no):no;let go=ho.frameElement;for(;go&&no&&po!==ho;){const vo=getScale$1(go),bo=go.getBoundingClientRect(),xo=getComputedStyle$1(go),_o=bo.left+(go.clientLeft+parseFloat(xo.paddingLeft))*vo.x,Eo=bo.top+(go.clientTop+parseFloat(xo.paddingTop))*vo.y;lo*=vo.x,uo*=vo.y,co*=vo.x,fo*=vo.y,lo+=_o,uo+=Eo,go=getWindow$1(go).frameElement}}return rectToClientRect({width:co,height:fo,x:lo,y:uo})}function convertOffsetParentRelativeRectToViewportRelativeRect(eo){let{rect:to,offsetParent:ro,strategy:no}=eo;const oo=isHTMLElement$4(ro),io=getDocumentElement(ro);if(ro===io)return to;let so={scrollLeft:0,scrollTop:0},ao=createCoords(1);const lo=createCoords(0);if((oo||!oo&&no!=="fixed")&&((getNodeName(ro)!=="body"||isOverflowElement(io))&&(so=getNodeScroll(ro)),isHTMLElement$4(ro))){const uo=getBoundingClientRect(ro);ao=getScale$1(ro),lo.x=uo.x+ro.clientLeft,lo.y=uo.y+ro.clientTop}return{width:to.width*ao.x,height:to.height*ao.y,x:to.x*ao.x-so.scrollLeft*ao.x+lo.x,y:to.y*ao.y-so.scrollTop*ao.y+lo.y}}function getClientRects(eo){return Array.from(eo.getClientRects())}function getWindowScrollBarX(eo){return getBoundingClientRect(getDocumentElement(eo)).left+getNodeScroll(eo).scrollLeft}function getDocumentRect(eo){const to=getDocumentElement(eo),ro=getNodeScroll(eo),no=eo.ownerDocument.body,oo=max$2(to.scrollWidth,to.clientWidth,no.scrollWidth,no.clientWidth),io=max$2(to.scrollHeight,to.clientHeight,no.scrollHeight,no.clientHeight);let so=-ro.scrollLeft+getWindowScrollBarX(eo);const ao=-ro.scrollTop;return getComputedStyle$1(no).direction==="rtl"&&(so+=max$2(to.clientWidth,no.clientWidth)-oo),{width:oo,height:io,x:so,y:ao}}function getViewportRect(eo,to){const ro=getWindow$1(eo),no=getDocumentElement(eo),oo=ro.visualViewport;let io=no.clientWidth,so=no.clientHeight,ao=0,lo=0;if(oo){io=oo.width,so=oo.height;const uo=isWebKit();(!uo||uo&&to==="fixed")&&(ao=oo.offsetLeft,lo=oo.offsetTop)}return{width:io,height:so,x:ao,y:lo}}function getInnerBoundingClientRect(eo,to){const ro=getBoundingClientRect(eo,!0,to==="fixed"),no=ro.top+eo.clientTop,oo=ro.left+eo.clientLeft,io=isHTMLElement$4(eo)?getScale$1(eo):createCoords(1),so=eo.clientWidth*io.x,ao=eo.clientHeight*io.y,lo=oo*io.x,uo=no*io.y;return{width:so,height:ao,x:lo,y:uo}}function getClientRectFromClippingAncestor(eo,to,ro){let no;if(to==="viewport")no=getViewportRect(eo,ro);else if(to==="document")no=getDocumentRect(getDocumentElement(eo));else if(isElement$1(to))no=getInnerBoundingClientRect(to,ro);else{const oo=getVisualOffsets(eo);no={...to,x:to.x-oo.x,y:to.y-oo.y}}return rectToClientRect(no)}function hasFixedPositionAncestor(eo,to){const ro=getParentNode$1(eo);return ro===to||!isElement$1(ro)||isLastTraversableNode(ro)?!1:getComputedStyle$1(ro).position==="fixed"||hasFixedPositionAncestor(ro,to)}function getClippingElementAncestors(eo,to){const ro=to.get(eo);if(ro)return ro;let no=getOverflowAncestors(eo,[],!1).filter(ao=>isElement$1(ao)&&getNodeName(ao)!=="body"),oo=null;const io=getComputedStyle$1(eo).position==="fixed";let so=io?getParentNode$1(eo):eo;for(;isElement$1(so)&&!isLastTraversableNode(so);){const ao=getComputedStyle$1(so),lo=isContainingBlock(so);!lo&&ao.position==="fixed"&&(oo=null),(io?!lo&&!oo:!lo&&ao.position==="static"&&!!oo&&["absolute","fixed"].includes(oo.position)||isOverflowElement(so)&&!lo&&hasFixedPositionAncestor(eo,so))?no=no.filter(co=>co!==so):oo=ao,so=getParentNode$1(so)}return to.set(eo,no),no}function getClippingRect(eo){let{element:to,boundary:ro,rootBoundary:no,strategy:oo}=eo;const so=[...ro==="clippingAncestors"?getClippingElementAncestors(to,this._c):[].concat(ro),no],ao=so[0],lo=so.reduce((uo,co)=>{const fo=getClientRectFromClippingAncestor(to,co,oo);return uo.top=max$2(fo.top,uo.top),uo.right=min$2(fo.right,uo.right),uo.bottom=min$2(fo.bottom,uo.bottom),uo.left=max$2(fo.left,uo.left),uo},getClientRectFromClippingAncestor(to,ao,oo));return{width:lo.right-lo.left,height:lo.bottom-lo.top,x:lo.left,y:lo.top}}function getDimensions(eo){return getCssDimensions(eo)}function getRectRelativeToOffsetParent(eo,to,ro){const no=isHTMLElement$4(to),oo=getDocumentElement(to),io=ro==="fixed",so=getBoundingClientRect(eo,!0,io,to);let ao={scrollLeft:0,scrollTop:0};const lo=createCoords(0);if(no||!no&&!io)if((getNodeName(to)!=="body"||isOverflowElement(oo))&&(ao=getNodeScroll(to)),no){const uo=getBoundingClientRect(to,!0,io,to);lo.x=uo.x+to.clientLeft,lo.y=uo.y+to.clientTop}else oo&&(lo.x=getWindowScrollBarX(oo));return{x:so.left+ao.scrollLeft-lo.x,y:so.top+ao.scrollTop-lo.y,width:so.width,height:so.height}}function getTrueOffsetParent(eo,to){return!isHTMLElement$4(eo)||getComputedStyle$1(eo).position==="fixed"?null:to?to(eo):eo.offsetParent}function getOffsetParent(eo,to){const ro=getWindow$1(eo);if(!isHTMLElement$4(eo))return ro;let no=getTrueOffsetParent(eo,to);for(;no&&isTableElement(no)&&getComputedStyle$1(no).position==="static";)no=getTrueOffsetParent(no,to);return no&&(getNodeName(no)==="html"||getNodeName(no)==="body"&&getComputedStyle$1(no).position==="static"&&!isContainingBlock(no))?ro:no||getContainingBlock(eo)||ro}const getElementRects=async function(eo){let{reference:to,floating:ro,strategy:no}=eo;const oo=this.getOffsetParent||getOffsetParent,io=this.getDimensions;return{reference:getRectRelativeToOffsetParent(to,await oo(ro),no),floating:{x:0,y:0,...await io(ro)}}};function isRTL(eo){return getComputedStyle$1(eo).direction==="rtl"}const platform={convertOffsetParentRelativeRectToViewportRelativeRect,getDocumentElement,getClippingRect,getOffsetParent,getElementRects,getClientRects,getDimensions,getScale:getScale$1,isElement:isElement$1,isRTL},computePosition=(eo,to,ro)=>{const no=new Map,oo={platform,...ro},io={...oo.platform,_c:no};return computePosition$1(eo,to,{...oo,platform:io})};function parseFloatingUIPlacement(eo){const to=eo.split("-");return{side:to[0],alignment:to[1]}}const getParentNode=eo=>eo.nodeName==="HTML"?eo:eo.parentNode||eo.host,getStyleComputedProperty=eo=>{var to;return eo.nodeType!==1?{}:((to=eo.ownerDocument)===null||to===void 0?void 0:to.defaultView).getComputedStyle(eo,null)},getScrollParent=eo=>{const to=eo&&getParentNode(eo);if(!to)return document.body;switch(to.nodeName){case"HTML":case"BODY":return to.ownerDocument.body;case"#document":return to.body}const{overflow:ro,overflowX:no,overflowY:oo}=getStyleComputedProperty(to);return/(auto|scroll|overlay)/.test(ro+oo+no)?to:getScrollParent(to)},hasScrollParent=eo=>{var to;const ro=getScrollParent(eo);return ro?ro!==((to=ro.ownerDocument)===null||to===void 0?void 0:to.body):!1};function getBoundary(eo,to){if(to==="window")return eo==null?void 0:eo.ownerDocument.documentElement;if(to==="clippingParents")return"clippingAncestors";if(to==="scrollParent"){let ro=getScrollParent(eo);return ro.nodeName==="BODY"&&(ro=eo==null?void 0:eo.ownerDocument.documentElement),ro}return to}function mergeArrowOffset(eo,to){return typeof eo=="number"||typeof eo=="object"&&eo!==null?addArrowOffset(eo,to):typeof eo=="function"?ro=>{const no=eo(ro);return addArrowOffset(no,to)}:{mainAxis:to}}const addArrowOffset=(eo,to)=>{if(typeof eo=="number")return{mainAxis:eo+to};var ro;return{...eo,mainAxis:((ro=eo.mainAxis)!==null&&ro!==void 0?ro:0)+to}};function toFloatingUIPadding(eo,to){if(typeof eo=="number")return eo;const{start:ro,end:no,...oo}=eo,io=oo,so=to?"end":"start",ao=to?"start":"end";return eo[so]&&(io.left=eo[so]),eo[ao]&&(io.right=eo[ao]),io}const getPositionMap$1=eo=>({above:"top",below:"bottom",before:eo?"right":"left",after:eo?"left":"right"}),getAlignmentMap$1=()=>({start:"start",end:"end",top:"start",bottom:"end",center:void 0}),shouldAlignToCenter=(eo,to)=>{const ro=eo==="above"||eo==="below",no=to==="top"||to==="bottom";return ro&&no||!ro&&!no},toFloatingUIPlacement=(eo,to,ro)=>{const no=shouldAlignToCenter(to,eo)?"center":eo,oo=to&&getPositionMap$1(ro)[to],io=no&&getAlignmentMap$1()[no];return oo&&io?`${oo}-${io}`:oo},getPositionMap=()=>({top:"above",bottom:"below",right:"after",left:"before"}),getAlignmentMap=eo=>eo==="above"||eo==="below"?{start:"start",end:"end"}:{start:"top",end:"bottom"},fromFloatingUIPlacement=eo=>{const{side:to,alignment:ro}=parseFloatingUIPlacement(eo),no=getPositionMap()[to],oo=ro&&getAlignmentMap(no)[ro];return{position:no,alignment:oo}},shorthandLookup={above:{position:"above",align:"center"},"above-start":{position:"above",align:"start"},"above-end":{position:"above",align:"end"},below:{position:"below",align:"center"},"below-start":{position:"below",align:"start"},"below-end":{position:"below",align:"end"},before:{position:"before",align:"center"},"before-top":{position:"before",align:"top"},"before-bottom":{position:"before",align:"bottom"},after:{position:"after",align:"center"},"after-top":{position:"after",align:"top"},"after-bottom":{position:"after",align:"bottom"}};function resolvePositioningShorthand(eo){return eo==null?{}:typeof eo=="string"?shorthandLookup[eo]:eo}function useCallbackRef(eo,to,ro){const no=reactExports.useRef(!0),[oo]=reactExports.useState(()=>({value:eo,callback:to,facade:{get current(){return oo.value},set current(io){const so=oo.value;if(so!==io){if(oo.value=io,ro&&no.current)return;oo.callback(io,so)}}}}));return useIsomorphicLayoutEffect$1(()=>{no.current=!1},[]),oo.callback=to,oo.facade}function debounce$1(eo){let to;return()=>(to||(to=new Promise(ro=>{Promise.resolve().then(()=>{to=void 0,ro(eo())})})),to)}function writeArrowUpdates(eo){const{arrow:to,middlewareData:ro}=eo;if(!ro.arrow||!to)return;const{x:no,y:oo}=ro.arrow;Object.assign(to.style,{left:`${no}px`,top:`${oo}px`})}function writeContainerUpdates(eo){var to,ro,no;const{container:oo,placement:io,middlewareData:so,strategy:ao,lowPPI:lo,coordinates:uo,useTransform:co=!0}=eo;if(!oo)return;oo.setAttribute(DATA_POSITIONING_PLACEMENT,io),oo.removeAttribute(DATA_POSITIONING_INTERSECTING),so.intersectionObserver.intersecting&&oo.setAttribute(DATA_POSITIONING_INTERSECTING,""),oo.removeAttribute(DATA_POSITIONING_ESCAPED),!((to=so.hide)===null||to===void 0)&&to.escaped&&oo.setAttribute(DATA_POSITIONING_ESCAPED,""),oo.removeAttribute(DATA_POSITIONING_HIDDEN),!((ro=so.hide)===null||ro===void 0)&&ro.referenceHidden&&oo.setAttribute(DATA_POSITIONING_HIDDEN,"");const fo=((no=oo.ownerDocument.defaultView)===null||no===void 0?void 0:no.devicePixelRatio)||1,ho=Math.round(uo.x*fo)/fo,po=Math.round(uo.y*fo)/fo;if(Object.assign(oo.style,{position:ao}),co){Object.assign(oo.style,{transform:lo?`translate(${ho}px, ${po}px)`:`translate3d(${ho}px, ${po}px, 0)`});return}Object.assign(oo.style,{left:`${ho}px`,top:`${po}px`})}const normalizeAutoSize=eo=>{switch(eo){case"always":case!0:return{applyMaxWidth:!0,applyMaxHeight:!0};case"width-always":case"width":return{applyMaxWidth:!0,applyMaxHeight:!1};case"height-always":case"height":return{applyMaxWidth:!1,applyMaxHeight:!0};default:return!1}};function coverTarget(){return{name:"coverTarget",fn:eo=>{const{placement:to,rects:ro,x:no,y:oo}=eo,io=parseFloatingUIPlacement(to).side,so={x:no,y:oo};switch(io){case"bottom":so.y-=ro.reference.height;break;case"top":so.y+=ro.reference.height;break;case"left":so.x+=ro.reference.width;break;case"right":so.x-=ro.reference.width;break}return so}}}function flip(eo){const{hasScrollableElement:to,flipBoundary:ro,container:no,fallbackPositions:oo=[],isRtl:io}=eo,so=oo.reduce((ao,lo)=>{const{position:uo,align:co}=resolvePositioningShorthand(lo),fo=toFloatingUIPlacement(co,uo,io);return fo&&ao.push(fo),ao},[]);return flip$1({...to&&{boundary:"clippingAncestors"},...ro&&{altBoundary:!0,boundary:getBoundary(no,ro)},fallbackStrategy:"bestFit",...so.length&&{fallbackPlacements:so}})}function intersecting(){return{name:"intersectionObserver",fn:async eo=>{const to=eo.rects.floating,ro=await detectOverflow(eo,{altBoundary:!0}),no=ro.top<to.height&&ro.top>0,oo=ro.bottom<to.height&&ro.bottom>0;return{data:{intersecting:no||oo}}}}}const resetMaxSize=eo=>({name:"resetMaxSize",fn({middlewareData:to,elements:ro}){var no;if(!((no=to.resetMaxSize)===null||no===void 0)&&no.maxSizeAlreadyReset)return{};const{applyMaxWidth:oo,applyMaxHeight:io}=eo;return oo&&(ro.floating.style.removeProperty("box-sizing"),ro.floating.style.removeProperty("max-width"),ro.floating.style.removeProperty("width")),io&&(ro.floating.style.removeProperty("box-sizing"),ro.floating.style.removeProperty("max-height"),ro.floating.style.removeProperty("height")),{data:{maxSizeAlreadyReset:!0},reset:{rects:!0}}}});function maxSize(eo,to){const{container:ro,overflowBoundary:no}=to;return size({...no&&{altBoundary:!0,boundary:getBoundary(ro,no)},apply({availableHeight:oo,availableWidth:io,elements:so,rects:ao}){const lo=(fo,ho,po)=>{if(fo&&(so.floating.style.setProperty("box-sizing","border-box"),so.floating.style.setProperty(`max-${ho}`,`${po}px`),ao.floating[ho]>po)){so.floating.style.setProperty(ho,`${po}px`);const go=ho==="width"?"x":"y";so.floating.style.getPropertyValue(`overflow-${go}`)||so.floating.style.setProperty(`overflow-${go}`,"auto")}},{applyMaxWidth:uo,applyMaxHeight:co}=eo;lo(uo,"width",io),lo(co,"height",oo)}})}function getFloatingUIOffset(eo){return!eo||typeof eo=="number"||typeof eo=="object"?eo:({rects:{floating:to,reference:ro},placement:no})=>{const{position:oo,alignment:io}=fromFloatingUIPlacement(no);return eo({positionedRect:to,targetRect:ro,position:oo,alignment:io})}}function offset(eo){const to=getFloatingUIOffset(eo);return offset$1(to)}function shift$1(eo){const{hasScrollableElement:to,disableTether:ro,overflowBoundary:no,container:oo,overflowBoundaryPadding:io,isRtl:so}=eo;return shift$2({...to&&{boundary:"clippingAncestors"},...ro&&{crossAxis:ro==="all",limiter:limitShift({crossAxis:ro!=="all",mainAxis:!1})},...io&&{padding:toFloatingUIPadding(io,so)},...no&&{altBoundary:!0,boundary:getBoundary(oo,no)}})}const matchTargetSizeCssVar="--fui-match-target-size";function matchTargetSize(){return{name:"matchTargetSize",fn:async eo=>{const{rects:{reference:to,floating:ro},elements:{floating:no},middlewareData:{matchTargetSize:{matchTargetSizeAttempt:oo=!1}={}}}=eo;if(to.width===ro.width||oo)return{};const{width:io}=to;return no.style.setProperty(matchTargetSizeCssVar,`${io}px`),no.style.width||(no.style.width=`var(${matchTargetSizeCssVar})`),{data:{matchTargetSizeAttempt:!0},reset:{rects:!0}}}}}function listScrollParents(eo){const to=[];let ro=eo;for(;ro;){const no=getScrollParent(ro);if(eo.ownerDocument.body===no){to.push(no);break}to.push(no),ro=no}return to}function createPositionManager(eo){const{container:to,target:ro,arrow:no,strategy:oo,middleware:io,placement:so,useTransform:ao=!0}=eo;let lo=!1;if(!ro||!to)return{updatePosition:()=>{},dispose:()=>{}};let uo=!0;const co=new Set,fo=to.ownerDocument.defaultView;Object.assign(to.style,{position:"fixed",left:0,top:0,margin:0});const ho=()=>{lo||(uo&&(listScrollParents(to).forEach(vo=>co.add(vo)),isHTMLElement$6(ro)&&listScrollParents(ro).forEach(vo=>co.add(vo)),co.forEach(vo=>{vo.addEventListener("scroll",po,{passive:!0})}),uo=!1),Object.assign(to.style,{position:oo}),computePosition(ro,to,{placement:so,middleware:io,strategy:oo}).then(({x:vo,y:bo,middlewareData:xo,placement:_o})=>{lo||(writeArrowUpdates({arrow:no,middlewareData:xo}),writeContainerUpdates({container:to,middlewareData:xo,placement:_o,coordinates:{x:vo,y:bo},lowPPI:((fo==null?void 0:fo.devicePixelRatio)||1)<=1,strategy:oo,useTransform:ao}))}).catch(vo=>{}))},po=debounce$1(()=>ho()),go=()=>{lo=!0,fo&&(fo.removeEventListener("scroll",po),fo.removeEventListener("resize",po)),co.forEach(vo=>{vo.removeEventListener("scroll",po)}),co.clear()};return fo&&(fo.addEventListener("scroll",po,{passive:!0}),fo.addEventListener("resize",po)),po(),{updatePosition:po,dispose:go}}function usePositioning(eo){const to=reactExports.useRef(null),ro=reactExports.useRef(null),no=reactExports.useRef(null),oo=reactExports.useRef(null),io=reactExports.useRef(null),{enabled:so=!0}=eo,ao=usePositioningOptions(eo),lo=reactExports.useCallback(()=>{to.current&&to.current.dispose(),to.current=null;var po;const go=(po=no.current)!==null&&po!==void 0?po:ro.current;so&&canUseDOM$3()&&go&&oo.current&&(to.current=createPositionManager({container:oo.current,target:go,arrow:io.current,...ao(oo.current,io.current)}))},[so,ao]),uo=useEventCallback$3(po=>{no.current=po,lo()});reactExports.useImperativeHandle(eo.positioningRef,()=>({updatePosition:()=>{var po;return(po=to.current)===null||po===void 0?void 0:po.updatePosition()},setTarget:po=>{eo.target,uo(po)}}),[eo.target,uo]),useIsomorphicLayoutEffect$1(()=>{var po;uo((po=eo.target)!==null&&po!==void 0?po:null)},[eo.target,uo]),useIsomorphicLayoutEffect$1(()=>{lo()},[lo]);const co=useCallbackRef(null,po=>{ro.current!==po&&(ro.current=po,lo())}),fo=useCallbackRef(null,po=>{oo.current!==po&&(oo.current=po,lo())}),ho=useCallbackRef(null,po=>{io.current!==po&&(io.current=po,lo())});return{targetRef:co,containerRef:fo,arrowRef:ho}}function usePositioningOptions(eo){const{align:to,arrowPadding:ro,autoSize:no,coverTarget:oo,flipBoundary:io,offset:so,overflowBoundary:ao,pinned:lo,position:uo,unstable_disableTether:co,positionFixed:fo,strategy:ho,overflowBoundaryPadding:po,fallbackPositions:go,useTransform:vo,matchTargetSize:bo}=eo,{dir:xo,targetDocument:_o}=useFluent(),Eo=xo==="rtl",So=ho??fo?"fixed":"absolute",To=normalizeAutoSize(no);return reactExports.useCallback((wo,Co)=>{const Oo=hasScrollParent(wo),Ao=[To&&resetMaxSize(To),bo&&matchTargetSize(),so&&offset(so),oo&&coverTarget(),!lo&&flip({container:wo,flipBoundary:io,hasScrollableElement:Oo,isRtl:Eo,fallbackPositions:go}),shift$1({container:wo,hasScrollableElement:Oo,overflowBoundary:ao,disableTether:co,overflowBoundaryPadding:po,isRtl:Eo}),To&&maxSize(To,{container:wo,overflowBoundary:ao}),intersecting(),Co&&arrow$1({element:Co,padding:ro}),hide({strategy:"referenceHidden"}),hide({strategy:"escaped"}),!1].filter(Boolean);return{placement:toFloatingUIPlacement(to,uo,Eo),middleware:Ao,strategy:So,useTransform:vo}},[to,ro,To,oo,co,io,Eo,so,ao,lo,uo,So,po,go,vo,bo,_o])}const usePositioningMouseTarget=eo=>{const[to,ro]=reactExports.useState(eo);return[to,oo=>{if(oo==null){ro(void 0);return}let io;oo instanceof MouseEvent?io=oo:io=oo.nativeEvent,io instanceof MouseEvent;const so=createVirtualElementFromClick(io);ro(so)}]},PopoverContext=createContext(void 0),popoverContextDefaultValue={open:!1,setOpen:()=>null,toggleOpen:()=>null,triggerRef:{current:null},contentRef:{current:null},arrowRef:{current:null},openOnContext:!1,openOnHover:!1,size:"medium",trapFocus:!1,inline:!1};PopoverContext.Provider;const usePopoverContext_unstable=eo=>useContextSelector(PopoverContext,(to=popoverContextDefaultValue)=>eo(to)),usePopoverSurface_unstable=(eo,to)=>{const ro=usePopoverContext_unstable(_o=>_o.contentRef),no=usePopoverContext_unstable(_o=>_o.openOnHover),oo=usePopoverContext_unstable(_o=>_o.setOpen),io=usePopoverContext_unstable(_o=>_o.mountNode),so=usePopoverContext_unstable(_o=>_o.arrowRef),ao=usePopoverContext_unstable(_o=>_o.size),lo=usePopoverContext_unstable(_o=>_o.withArrow),uo=usePopoverContext_unstable(_o=>_o.appearance),co=usePopoverContext_unstable(_o=>_o.trapFocus),fo=usePopoverContext_unstable(_o=>_o.inertTrapFocus),ho=usePopoverContext_unstable(_o=>_o.inline),{modalAttributes:po}=useModalAttributes({trapFocus:co,legacyTrapFocus:!fo,alwaysFocusable:!co}),go={inline:ho,appearance:uo,withArrow:lo,size:ao,arrowRef:so,mountNode:io,components:{root:"div"},root:always(getIntrinsicElementProps("div",{ref:useMergedRefs$1(to,ro),role:co?"dialog":"group","aria-modal":co?!0:void 0,...po,...eo}),{elementType:"div"})},{onMouseEnter:vo,onMouseLeave:bo,onKeyDown:xo}=go.root;return go.root.onMouseEnter=_o=>{no&&oo(_o,!0),vo==null||vo(_o)},go.root.onMouseLeave=_o=>{no&&oo(_o,!1),bo==null||bo(_o)},go.root.onKeyDown=_o=>{var Eo;_o.key==="Escape"&&(!((Eo=ro.current)===null||Eo===void 0)&&Eo.contains(_o.target))&&(_o.preventDefault(),oo(_o,!1)),xo==null||xo(_o)},go};function toMountNodeProps(eo){return isHTMLElement$6(eo)?{element:eo}:typeof eo=="object"?eo===null?{element:null}:eo:{}}var getCurrentOwner=()=>reactExports.__SECRET_INTERNALS_DO_NOT_USE_OR_YOU_WILL_BE_FIRED.ReactCurrentOwner.current,useIsStrictMode=()=>!1,effectSet=new WeakSet;function useStrictEffect(eo,to){const ro=getCurrentOwner();reactExports.useEffect(()=>{if(!effectSet.has(ro)){effectSet.add(ro),eo();return}return eo()},to)}var memoSet=new WeakSet;function useStrictMemo(eo,to){return reactExports.useMemo(()=>{const ro=getCurrentOwner();return memoSet.has(ro)?eo():(memoSet.add(ro),null)},to)}function useDisposable(eo,to){var ro;const no=useIsStrictMode()&&!1,oo=no?useStrictMemo:reactExports.useMemo,io=no?useStrictEffect:reactExports.useEffect,[so,ao]=(ro=oo(()=>eo(),to))!=null?ro:[null,()=>null];return io(()=>ao,to),so}const usePortalMountNodeStylesStyles=__styles({root:{qhf8xq:"f1euv43f",Bhzewxz:"f15twtuk",oyh7mz:["f1vgc2s3","f1e31b4d"],j35jbq:["f1e31b4d","f1vgc2s3"],Bj3rh1h:"f494woh"}},{d:[".f1euv43f{position:absolute;}",".f15twtuk{top:0;}",".f1vgc2s3{left:0;}",".f1e31b4d{right:0;}",".f494woh{z-index:1000000;}"]}),useInsertionEffect=React$1.useInsertionEffect,usePortalMountNode=eo=>{const{targetDocument:to,dir:ro}=useFluent(),no=usePortalMountNode$1(),oo=useFocusVisible(),io=usePortalMountNodeStylesStyles(),so=useThemeClassName(),ao=mergeClasses(so,io.root,eo.className),lo=no??(to==null?void 0:to.body),uo=useDisposable(()=>{if(lo===void 0||eo.disabled)return[null,()=>null];const co=lo.ownerDocument.createElement("div");return lo.appendChild(co),[co,()=>co.remove()]},[lo]);return useInsertionEffect?useInsertionEffect(()=>{if(!uo)return;const co=ao.split(" ").filter(Boolean);return uo.classList.add(...co),uo.setAttribute("dir",ro),oo.current=uo,()=>{uo.classList.remove(...co),uo.removeAttribute("dir")}},[ao,ro,uo,oo]):reactExports.useMemo(()=>{uo&&(uo.className=ao,uo.setAttribute("dir",ro),oo.current=uo)},[ao,ro,uo,oo]),uo},usePortal_unstable=eo=>{const{element:to,className:ro}=toMountNodeProps(eo.mountNode),no=reactExports.useRef(null),oo=usePortalMountNode({disabled:!!to,className:ro}),io=to??oo,so={children:eo.children,mountNode:io,virtualParentRootRef:no};return reactExports.useEffect(()=>{if(!io)return;const ao=no.current,lo=io.contains(ao);if(ao&&!lo)return setVirtualParent$1(io,ao),()=>{setVirtualParent$1(io,void 0)}},[no,io]),so},renderPortal_unstable=eo=>reactExports.createElement("span",{hidden:!0,ref:eo.virtualParentRootRef},eo.mountNode&&reactDomExports.createPortal(eo.children,eo.mountNode)),Portal$1=eo=>{const to=usePortal_unstable(eo);return renderPortal_unstable(to)};Portal$1.displayName="Portal";const renderPopoverSurface_unstable=eo=>{const to=jsxs(eo.root,{children:[eo.withArrow&&jsx$1("div",{ref:eo.arrowRef,className:eo.arrowClassName}),eo.root.children]});return eo.inline?to:jsx$1(Portal$1,{mountNode:eo.mountNode,children:to})},popoverSurfaceClassNames={root:"fui-PopoverSurface"},arrowHeights={small:6,medium:8,large:8},useStyles$y=__styles({root:{sj55zd:"f19n0e5",De3pzq:"fxugw4r",E5pizo:"f1hg901r",Bbmb7ep:["f1aa9q02","f16jpd5f"],Beyfa6y:["f16jpd5f","f1aa9q02"],B7oj6ja:["f1jar5jt","fyu767a"],Btl43ni:["fyu767a","f1jar5jt"],B4j52fo:"f5ogflp",Bekrc4i:["f1hqa2wf","finvdd3"],Bn0qgzm:"f1f09k3d",ibv6hh:["finvdd3","f1hqa2wf"],icvyot:"fzkkow9",vrafjx:["fcdblym","fjik90z"],oivjwe:"fg706s2",wvpqe5:["fjik90z","fcdblym"],g2u3we:"fghlq4f",h3c5rm:["f1gn591s","fjscplz"],B9xav0g:"fb073pr",zhjwy3:["fjscplz","f1gn591s"],Bahqtrf:"fk6fouc",Be2twd7:"fkhj508",Bhrd7zp:"figsok6",Bg96gwp:"f1i3iumi",B93otf3:"f18k4bn6",vin17d:"fo1kyvf",Ezkn3b:"fetxo7e",nyiy2g:"f8x1vz1",swvrvq:"f8g0anz",Bkovbt3:"fezwn9i",hgjdhn:"fz5efge",fsy9dk:"f1ydixl4",B3ogreh:"f8dgqj5",jv49x5:"fnyfnr8",Bk7o48c:"fgw77r4",Bv12yb3:"ftje0s4",z0t1cu:"fi19xcv",Bks05zx:"f1mzajhk",Bvtglag:"fjp4h9y"},inline:{Bj3rh1h:"f19g0ac"},inverted:{De3pzq:"fg3r6xk",sj55zd:"fonrgv7"},brand:{De3pzq:"ffp7eso",sj55zd:"f1phragk"},smallPadding:{z8tnut:"f1kcqot9",z189sj:["f11qrl6u","fjlbh76"],Byoj8tv:"fpe6lb7",uwmqm3:["fjlbh76","f11qrl6u"]},mediumPadding:{z8tnut:"fqag9an",z189sj:["f1gbmcue","f1rh9g5y"],Byoj8tv:"fp67ikv",uwmqm3:["f1rh9g5y","f1gbmcue"]},largePadding:{z8tnut:"fc7z3ec",z189sj:["fat0sn4","fekwl8i"],Byoj8tv:"fe2my4m",uwmqm3:["fekwl8i","fat0sn4"]},smallArrow:{a9b677:"f1ekdpwm",Bqenvij:"f83vc9z"},mediumLargeArrow:{a9b677:"f1kmc0fn",Bqenvij:"fb6lvc5"},arrow:{qhf8xq:"f1euv43f",De3pzq:"f1u2r49w",Bcdw1i0:"fd7fpy0",Bj3rh1h:"f1bsuimh",Ftih45:"f1wl9k8s",B1puzpu:"f1wkw4r9",Brfgrao:"f1j7ml58",Bcvre1j:"fyl8oag",Ccq8qp:"frdoeuz",Baz25je:"fb81m9q",cmx5o7:"f1ljr5q2",B4f6apu:"fyfemzf",m598lv:"focyt6c",Bk5zm6e:"fnhxbxj",y0oebl:"fdw6hkg",qa3bma:"f11yjt3y",Bqjgrrk:"f1172wan",Budzafs:["f9e5op9","f112wvtl"],Hv9wc6:["f1500xdc","f1it0ps5"],hl6cv3:"f1773hnp",c8svkw:"fw7o64x",yayu3t:"f1v7783n",nr3p0k:"f1f0d6v",rhl9o9:"fh2hsk5",wiz9v7:"f1gj3y7g",B6q6orb:"f11yvu4",ndpsmx:"f17lejdj"}},{d:[".f19n0e5{color:var(--colorNeutralForeground1);}",".fxugw4r{background-color:var(--colorNeutralBackground1);}",".f1hg901r{box-shadow:var(--shadow16);}",".f1aa9q02{border-bottom-right-radius:var(--borderRadiusMedium);}",".f16jpd5f{border-bottom-left-radius:var(--borderRadiusMedium);}",".f1jar5jt{border-top-right-radius:var(--borderRadiusMedium);}",".fyu767a{border-top-left-radius:var(--borderRadiusMedium);}",".f5ogflp{border-top-width:1px;}",".f1hqa2wf{border-right-width:1px;}",".finvdd3{border-left-width:1px;}",".f1f09k3d{border-bottom-width:1px;}",".fzkkow9{border-top-style:solid;}",".fcdblym{border-right-style:solid;}",".fjik90z{border-left-style:solid;}",".fg706s2{border-bottom-style:solid;}",".fghlq4f{border-top-color:var(--colorTransparentStroke);}",".f1gn591s{border-right-color:var(--colorTransparentStroke);}",".fjscplz{border-left-color:var(--colorTransparentStroke);}",".fb073pr{border-bottom-color:var(--colorTransparentStroke);}",".fk6fouc{font-family:var(--fontFamilyBase);}",".fkhj508{font-size:var(--fontSizeBase300);}",".figsok6{font-weight:var(--fontWeightRegular);}",".f1i3iumi{line-height:var(--lineHeightBase300);}",".f18k4bn6{animation-composition:accumulate;}",".fo1kyvf{animation-duration:var(--durationSlower);}",".fetxo7e{animation-timing-function:var(--curveDecelerateMid);}",".f8x1vz1{--fui-positioning-slide-distance-x:0px;}",".f8g0anz{--fui-positioning-slide-distance-y:10px;}",".fezwn9i[data-popper-placement^=right]{--fui-positioning-slide-distance-x:-10px;}",".fz5efge[data-popper-placement^=right]{--fui-positioning-slide-distance-y:0px;}",".f1ydixl4[data-popper-placement^=bottom]{--fui-positioning-slide-distance-x:0px;}",".f8dgqj5[data-popper-placement^=bottom]{--fui-positioning-slide-distance-y:-10px;}",".fnyfnr8[data-popper-placement^=left]{--fui-positioning-slide-distance-x:10px;}",".fgw77r4[data-popper-placement^=left]{--fui-positioning-slide-distance-y:0px;}",".ftje0s4{animation-name:f5j8bii,f79suad;}",".f19g0ac{z-index:1;}",".fg3r6xk{background-color:var(--colorNeutralBackgroundStatic);}",".fonrgv7{color:var(--colorNeutralForegroundStaticInverted);}",".ffp7eso{background-color:var(--colorBrandBackground);}",".f1phragk{color:var(--colorNeutralForegroundOnBrand);}",".f1kcqot9{padding-top:12px;}",".f11qrl6u{padding-right:12px;}",".fjlbh76{padding-left:12px;}",".fpe6lb7{padding-bottom:12px;}",".fqag9an{padding-top:16px;}",".f1gbmcue{padding-right:16px;}",".f1rh9g5y{padding-left:16px;}",".fp67ikv{padding-bottom:16px;}",".fc7z3ec{padding-top:20px;}",".fat0sn4{padding-right:20px;}",".fekwl8i{padding-left:20px;}",".fe2my4m{padding-bottom:20px;}",".f1ekdpwm{width:8.484px;}",".f83vc9z{height:8.484px;}",".f1kmc0fn{width:11.312px;}",".fb6lvc5{height:11.312px;}",".f1euv43f{position:absolute;}",".f1u2r49w{background-color:inherit;}",".fd7fpy0{visibility:hidden;}",".f1bsuimh{z-index:-1;}",'.f1wl9k8s::before{content:"";}',".f1wkw4r9::before{visibility:visible;}",".f1j7ml58::b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popoverSurfaceBorderRadius=4,usePopover_unstable=eo=>{const[to,ro]=usePositioningMouseTarget(),no={size:"medium",contextTarget:to,setContextTarget:ro,...eo},oo=reactExports.Children.toArray(eo.children);let io,so;oo.length===2?(io=oo[0],so=oo[1]):oo.length===1&&(so=oo[0]);const[ao,lo]=useOpenState(no),uo=reactExports.useRef(0),co=useEventCallback$3((Eo,So)=>{if(clearTimeout(uo.current),!(Eo instanceof Event)&&Eo.persist&&Eo.persist(),Eo.type==="mouseleave"){var To;uo.current=setTimeout(()=>{lo(Eo,So)},(To=eo.mouseLeaveDelay)!==null&&To!==void 0?To:500)}else lo(Eo,So)});reactExports.useEffect(()=>()=>{clearTimeout(uo.current)},[]);const fo=reactExports.useCallback(Eo=>{co(Eo,!ao)},[co,ao]),ho=usePopoverRefs(no),{targetDocument:po}=useFluent();var go;useOnClickOutside({contains:elementContains$1,element:po,callback:Eo=>co(Eo,!1),refs:[ho.triggerRef,ho.contentRef],disabled:!ao,disabledFocusOnIframe:!(!((go=eo.closeOnIframeFocus)!==null&&go!==void 0)||go)});const vo=no.openOnContext||no.closeOnScroll;useOnScrollOutside({contains:elementContains$1,element:po,callback:Eo=>co(Eo,!1),refs:[ho.triggerRef,ho.contentRef],disabled:!ao||!vo});const{findFirstFocusable:bo}=useFocusFinders();reactExports.useEffect(()=>{if(!eo.unstable_disableAutoFocus&&ao&&ho.contentRef.current){var Eo;const So=(Eo=ho.contentRef.current.getAttribute("tabIndex"))!==null&&Eo!==void 0?Eo:void 0,To=isNaN(So)?bo(ho.contentRef.current):ho.contentRef.current;To==null||To.focus()}},[bo,ao,ho.contentRef,eo.unstable_disableAutoFocus]);var xo,_o;return{...no,...ho,inertTrapFocus:(xo=eo.inertTrapFocus)!==null&&xo!==void 0?xo:eo.legacyTrapFocus===void 0?!1:!eo.legacyTrapFocus,popoverTrigger:io,popoverSurface:so,open:ao,setOpen:co,toggleOpen:fo,setContextTarget:ro,contextTarget:to,inline:(_o=eo.inline)!==null&&_o!==void 0?_o:!1}};function useOpenState(eo){const to=useEventCallback$3((so,ao)=>{var lo;return(lo=eo.onOpenChange)===null||lo===void 0?void 0:lo.call(eo,so,ao)}),[ro,no]=useControllableState({state:eo.open,defaultState:eo.defaultOpen,initialState:!1});eo.open=ro!==void 0?ro:eo.open;const oo=eo.setContextTarget,io=reactExports.useCallback((so,ao)=>{ao&&so.type==="contextmenu"&&oo(so),ao||oo(void 0),no(ao),to==null||to(so,{open:ao})},[no,to,oo]);return[ro,io]}function usePopoverRefs(eo){const to={position:"above",align:"center",arrowPadding:2*popoverSurfaceBorderRadius,target:eo.openOnContext?eo.contextTarget:void 0,...resolvePositioningShorthand(eo.positioning)};to.coverTarget&&(eo.withArrow=!1),eo.withArrow&&(to.offset=mergeArrowOffset(to.offset,arrowHeights[eo.size]));const{targetRef:ro,containerRef:no,arrowRef:oo}=usePositioning(to);return{triggerRef:ro,contentRef:no,arrowRef:oo}}const renderPopover_unstable=eo=>{const{appearance:to,arrowRef:ro,contentRef:no,inline:oo,mountNode:io,open:so,openOnContext:ao,openOnHover:lo,setOpen:uo,size:co,toggleOpen:fo,trapFocus:ho,triggerRef:po,withArrow:go,inertTrapFocus:vo}=eo;return reactExports.createElement(PopoverContext.Provider,{value:{appearance:to,arrowRef:ro,contentRef:no,inline:oo,mountNode:io,open:so,openOnContext:ao,openOnHover:lo,setOpen:uo,toggleOpen:fo,triggerRef:po,size:co,trapFocus:ho,inertTrapFocus:vo,withArrow:go}},eo.popoverTrigger,eo.open&&eo.popoverSurface)},Popover=eo=>{const to=usePopover_unstable(eo);return renderPopover_unstable(to)};Popover.displayName="Popover";const usePopoverTrigger_unstable=eo=>{const{children:to,disableButtonEnhancement:ro=!1}=eo,no=getTriggerChild(to),oo=usePopoverContext_unstable(Eo=>Eo.open),io=usePopoverContext_unstable(Eo=>Eo.setOpen),so=usePopoverContext_unstable(Eo=>Eo.toggleOpen),ao=usePopoverContext_unstable(Eo=>Eo.triggerRef),lo=usePopoverContext_unstable(Eo=>Eo.openOnHover),uo=usePopoverContext_unstable(Eo=>Eo.openOnContext),{triggerAttributes:co}=useModalAttributes(),fo=Eo=>{uo&&(Eo.preventDefault(),io(Eo,!0))},ho=Eo=>{uo||so(Eo)},po=Eo=>{Eo.key===Escape$1&&oo&&!Eo.isDefaultPrevented()&&(io(Eo,!1),Eo.preventDefault())},go=Eo=>{lo&&io(Eo,!0)},vo=Eo=>{lo&&io(Eo,!1)},bo={...co,"aria-expanded":`${oo}`,...no==null?void 0:no.props,onMouseEnter:useEventCallback$3(mergeCallbacks(no==null?void 0:no.props.onMouseEnter,go)),onMouseLeave:useEventCallback$3(mergeCallbacks(no==null?void 0:no.props.onMouseLeave,vo)),onContextMenu:useEventCallback$3(mergeCallbacks(no==null?void 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io=useTooltipVisibility(),so=useIsSSR(),{targetDocument:ao}=useFluent(),[lo,uo]=useTimeout(),{appearance:co="normal",children:fo,content:ho,withArrow:po=!1,positioning:go="above",onVisibleChange:vo,relationship:bo,showDelay:xo=250,hideDelay:_o=250,mountNode:Eo}=eo,[So,To]=useControllableState({state:eo.visible,initialState:!1}),wo=reactExports.useCallback((Ho,qo)=>{uo(),To(Uo=>(qo.visible!==Uo&&(vo==null||vo(Ho,qo)),qo.visible))},[uo,To,vo]),Co={withArrow:po,positioning:go,showDelay:xo,hideDelay:_o,relationship:bo,visible:So,shouldRenderTooltip:So,appearance:co,mountNode:Eo,components:{content:"div"},content:always(ho,{defaultProps:{role:"tooltip"},elementType:"div"})};Co.content.id=useId$1("tooltip-",Co.content.id);const 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To=So;switch(_o){case"Open":xo.preventDefault(),co(!0),fo(xo,!0);break;case"Close":xo.stopPropagation(),xo.preventDefault(),fo(xo,!1);break;case"CloseSelect":!ho&&!(no!=null&&no.disabled)&&fo(xo,!1);case"Select":no&&lo(xo,no),xo.preventDefault();break;case"Tab":!ho&&no&&lo(xo,no);break;default:To=getIndexFromAction(_o,So,Eo)}To!==So&&(xo.preventDefault(),uo(so(To)),co(!0))},vo.onKeyDown),vo.onMouseOver=mergeCallbacks(xo=>{co(!1)},vo.onMouseOver),vo}function useInputTriggerSlot(eo,to,ro){const{state:{open:no,value:oo,activeOption:io,selectOption:so,setValue:ao,setActiveOption:lo,setFocusVisible:uo,multiselect:co,selectedOptions:fo,clearSelection:ho,getOptionsMatchingText:po,getIndexOfId:go,setOpen:vo},freeform:bo,defaultProps:xo}=ro,_o=No=>{!no&&!bo&&(oo&&io&&oo.trim().toLowerCase()===(io==null?void 0:io.text.toLowerCase())&&so(No,io),ao(void 0))},Eo=No=>{const Mo=No==null?void 0:No.trim().toLowerCase();if(!Mo||Mo.length===0)return;const jo=po($o=>$o.toLowerCase().indexOf(Mo)===0);if(jo.length>1&&io){const $o=go(io.id),Lo=jo.find(Ho=>go(Ho.id)>=$o);return Lo??jo[0]}var Fo;return(Fo=jo[0])!==null&&Fo!==void 0?Fo:void 0},So=No=>{const Mo=No.target.value;ao(Mo);const Do=Eo(Mo);lo(Do),uo(!0),!co&&fo.length===1&&(Mo.length<1||!Do)&&ho(No)},To=useTriggerSlot(eo,to,{state:ro.state,defaultProps:xo,elementType:"input"});To.onChange=mergeCallbacks(To.onChange,So),To.onBlur=mergeCallbacks(To.onBlur,_o);const[wo,Co]=reactExports.useState(!1),Oo=reactExports.useRef(!1),Ao=To.onKeyDown,Ro=useEventCallback$3(No=>{!no&&getDropdownActionFromKey(No)==="Type"&&vo(No,!0),No.key===ArrowLeft||No.key===ArrowRight?Co(!0):Co(!1);const Mo=getDropdownActionFromKey(No,{open:no,multiselect:co});if(Mo==="Type"?Oo.current=!0:(Mo==="Open"&&No.key!==" "||Mo==="Next"||Mo==="Previous"||Mo==="First"||Mo==="Last"||Mo==="PageUp"||Mo==="PageDown")&&(Oo.current=!1),bo&&(Oo.current||!no)&&No.key===" "){var Do;eo==null||(Do=eo.onKeyDown)===null||Do===void 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eo.root.className=mergeClasses(tabListClassNames.root,ro.root,to?ro.vertical:ro.horizontal,eo.root.className),eo};function useTabListContextValues_unstable(eo){const{appearance:to,reserveSelectedTabSpace:ro,disabled:no,selectTabOnFocus:oo,selectedValue:io,onRegister:so,onUnregister:ao,onSelect:lo,getRegisteredTabs:uo,size:co,vertical:fo}=eo;return{tabList:{appearance:to,reserveSelectedTabSpace:ro,disabled:no,selectTabOnFocus:oo,selectedValue:io,onSelect:lo,onRegister:so,onUnregister:ao,getRegisteredTabs:uo,size:co,vertical:fo}}}const TabList=reactExports.forwardRef((eo,to)=>{const ro=useTabList_unstable(eo,to),no=useTabListContextValues_unstable(ro);return useTabListStyles_unstable(ro),useCustomStyleHook("useTabListStyles_unstable")(ro),renderTabList_unstable(ro,no)});TabList.displayName="TabList";const useText_unstable=(eo,to)=>{const{wrap:ro,truncate:no,block:oo,italic:io,underline:so,strikethrough:ao,size:lo,font:uo,weight:co,align:fo}=eo;return{align:fo??"start",block:oo??!1,font:uo??"base",italic:io??!1,size:lo??300,strikethrough:ao??!1,truncate:no??!1,underline:so??!1,weight:co??"regular",wrap:ro??!0,components:{root:"span"},root:always(getIntrinsicElementProps("span",{ref:to,...eo}),{elementType:"span"})}},renderText_unstable=eo=>jsx$1(eo.root,{}),textClassNames={root:"fui-Text"},useStyles$o=__styles({root:{Bahqtrf:"fk6fouc",Be2twd7:"fkhj508",Bg96gwp:"f1i3iumi",Bhrd7zp:"figsok6",fsow6f:"fpgzoln",mc9l5x:"f1w7gpdv",Huce71:"f6juhto",B68tc82:"f1mtd64y",Bmxbyg5:"f1y7q3j9",ygn44y:"f2jf649"},nowrap:{Huce71:"fz5stix",B68tc82:"f1p9o1ba",Bmxbyg5:"f1sil6mw"},truncate:{ygn44y:"f1cmbuwj"},block:{mc9l5x:"ftgm304"},italic:{B80ckks:"f1j4dglz"},underline:{w71qe1:"f13mvf36"},strikethrough:{w71qe1:"fv5q2k7"},strikethroughUnderline:{w71qe1:"f1drk4o6"},base100:{Be2twd7:"f13mqy1h",Bg96gwp:"fcpl73t"},base200:{Be2twd7:"fy9rknc",Bg96gwp:"fwrc4pm"},base400:{Be2twd7:"fod5ikn",Bg96gwp:"faaz57k"},base500:{Be2twd7:"f1pp30po",Bg96gwp:"f106mvju"},base600:{Be2twd7:"f1x0m3f5",Bg96gwp:"fb86gi6"},hero700:{Be2twd7:"fojgt09",Bg96gwp:"fcen8rp"},hero800:{Be2twd7:"fccw675",Bg96gwp:"f1ebx5kk"},hero900:{Be2twd7:"f15afnhw",Bg96gwp:"fr3w3wp"},hero1000:{Be2twd7:"fpyltcb",Bg96gwp:"f1ivgwrt"},monospace:{Bahqtrf:"f1fedwem"},numeric:{Bahqtrf:"f1uq0ln5"},weightMedium:{Bhrd7zp:"fdj6btp"},weightSemibold:{Bhrd7zp:"fl43uef"},weightBold:{Bhrd7zp:"flh3ekv"},alignCenter:{fsow6f:"f17mccla"},alignEnd:{fsow6f:"f12ymhq5"},alignJustify:{fsow6f:"f1j59e10"}},{d:[".fk6fouc{font-family:var(--fontFamilyBase);}",".fkhj508{font-size:var(--fontSizeBase300);}",".f1i3iumi{line-height:var(--lineHeightBase300);}",".figsok6{font-weight:var(--fontWeightRegular);}",".fpgzoln{text-align:start;}",".f1w7gpdv{display:inline;}",".f6juhto{white-space:normal;}",".f1mtd64y{overflow-x:visible;}",".f1y7q3j9{overflow-y:visible;}",".f2jf649{text-overflow:clip;}",".fz5stix{white-space:nowrap;}",".f1p9o1ba{overflow-x:hidden;}",".f1sil6mw{overflow-y:hidden;}",".f1cmbuwj{text-overflow:ellipsis;}",".ftgm304{display:block;}",".f1j4dglz{font-style:italic;}",".f13mvf36{text-decoration-line:underline;}",".fv5q2k7{text-decoration-line:line-through;}",".f1drk4o6{text-decoration-line:line-through underline;}",".f13mqy1h{font-size:var(--fontSizeBase100);}",".fcpl73t{line-height:var(--lineHeightBase100);}",".fy9rknc{font-size:var(--fontSizeBase200);}",".fwrc4pm{line-height:var(--lineHeightBase200);}",".fod5ikn{font-size:var(--fontSizeBase400);}",".faaz57k{line-height:var(--lineHeightBase400);}",".f1pp30po{font-size:var(--fontSizeBase500);}",".f106mvju{line-height:var(--lineHeightBase500);}",".f1x0m3f5{font-size:var(--fontSizeBase600);}",".fb86gi6{line-height:var(--lineHeightBase600);}",".fojgt09{font-size:var(--fontSizeHero700);}",".fcen8rp{line-height:var(--lineHeightHero700);}",".fccw675{font-size:var(--fontSizeHero800);}",".f1ebx5kk{line-height:var(--lineHeightHero800);}",".f15afnhw{font-size:var(--fontSizeHero900);}",".fr3w3wp{line-height:var(--lineHeightHero900);}",".fpyltcb{font-size:var(--fontSizeHero1000);}",".f1ivgwrt{line-height:var(--lineHeightHero1000);}",".f1fedwem{font-family:var(--fontFamilyMonospace);}",".f1uq0ln5{font-family:var(--fontFamilyNumeric);}",".fdj6btp{font-weight:var(--fontWeightMedium);}",".fl43uef{font-weight:var(--fontWeightSemibold);}",".flh3ekv{font-weight:var(--fontWeightBold);}",".f17mccla{text-align:center;}",".f12ymhq5{text-align:end;}",".f1j59e10{text-align:justify;}"]}),useTextStyles_unstable=eo=>{const to=useStyles$o();return eo.root.className=mergeClasses(textClassNames.root,to.root,eo.wrap===!1&&to.nowrap,eo.truncate&&to.truncate,eo.block&&to.block,eo.italic&&to.italic,eo.underline&&to.underline,eo.strikethrough&&to.strikethrough,eo.underline&&eo.strikethrough&&to.strikethroughUnderline,eo.size===100&&to.base100,eo.size===200&&to.base200,eo.size===400&&to.base400,eo.size===500&&to.base500,eo.size===600&&to.base600,eo.size===700&&to.hero700,eo.size===800&&to.hero800,eo.size===900&&to.hero900,eo.size===1e3&&to.hero1000,eo.font==="monospace"&&to.monospace,eo.font==="numeric"&&to.numeric,eo.weight==="medium"&&to.weightMedium,eo.weight==="semibold"&&to.weightSemibold,eo.weight==="bold"&&to.weightBold,eo.align==="center"&&to.alignCenter,eo.align==="end"&&to.alignEnd,eo.align==="justify"&&to.alignJustify,eo.root.className),eo},Text$2=reactExports.forwardRef((eo,to)=>{const ro=useText_unstable(eo,to);return useTextStyles_unstable(ro),useCustomStyleHook("useTextStyles_unstable")(ro),renderText_unstable(ro)});Text$2.displayName="Text";const disableScrollElementProp="__fluentDisableScrollElement";function useDisableBodyScroll(){const{targetDocument:eo}=useFluent();return reactExports.useCallback(()=>{if(eo)return disableScroll(eo.body)},[eo])}function disableScroll(eo){var to;const{clientWidth:ro}=eo.ownerDocument.documentElement;var no;const oo=(no=(to=eo.ownerDocument.defaultView)===null||to===void 0?void 0:to.innerWidth)!==null&&no!==void 0?no:0;return assertIsDisableScrollElement(eo),eo[disableScrollElementProp].count===0&&(eo.style.overflow="hidden",eo.style.paddingRight=`${oo-ro}px`),eo[disableScrollElementProp].count++,()=>{eo[disableScrollElementProp].count--,eo[disableScrollElementProp].count===0&&(eo.style.overflow=eo[disableScrollElementProp].previousOverflowStyle,eo.style.paddingRight=eo[disableScrollElementProp].previousPaddingRightStyle)}}function assertIsDisableScrollElement(eo){var to,ro,no;(no=(to=eo)[ro=disableScrollElementProp])!==null&&no!==void 0||(to[ro]={count:0,previousOverflowStyle:eo.style.overflow,previousPaddingRightStyle:eo.style.paddingRight})}function useFocusFirstElement(eo,to){const{findFirstFocusable:ro}=useFocusFinders(),{targetDocument:no}=useFluent(),oo=reactExports.useRef(null);return reactExports.useEffect(()=>{if(!eo)return;const io=oo.current&&ro(oo.current);if(io)io.focus();else{var so;(so=oo.current)===null||so===void 0||so.focus()}},[ro,eo,to,no]),oo}const defaultContextValue$2={open:!1,inertTrapFocus:!1,modalType:"modal",isNestedDialog:!1,dialogRef:{current:null},requestOpenChange(){}},DialogContext=createContext(void 0),DialogProvider=DialogContext.Provider,useDialogContext_unstable=eo=>useContextSelector(DialogContext,(to=defaultContextValue$2)=>eo(to)),defaultContextValue$1=!1,DialogSurfaceContext=reactExports.createContext(void 0),DialogSurfaceProvider=DialogSurfaceContext.Provider,useDialogSurfaceContext_unstable=()=>{var eo;return(eo=reactExports.useContext(DialogSurfaceContext))!==null&&eo!==void 0?eo:defaultContextValue$1},useDialog_unstable=eo=>{const{children:to,modalType:ro="modal",onOpenChange:no,inertTrapFocus:oo=!1}=eo,[io,so]=childrenToTriggerAndContent(to),[ao,lo]=useControllableState({state:eo.open,defaultState:eo.defaultOpen,initialState:!1}),uo=useEventCallback$3(vo=>{no==null||no(vo.event,vo),vo.event.isDefaultPrevented()||lo(vo.open)}),co=useFocusFirstElement(ao,ro),fo=useDisableBodyScroll(),ho=!!(ao&&ro!=="non-modal");useIsomorphicLayoutEffect$1(()=>{if(ho)return fo()},[fo,ho]);const{modalAttributes:po,triggerAttributes:go}=useModalAttributes({trapFocus:ro!=="non-modal",legacyTrapFocus:!oo});return{components:{backdrop:"div"},inertTrapFocus:oo,open:ao,modalType:ro,content:so,trigger:io,requestOpenChange:uo,dialogTitleId:useId$1("dialog-title-"),isNestedDialog:useHasParentContext(DialogContext),dialogRef:co,modalAttributes:ro!=="non-modal"?po:void 0,triggerAttributes:go}};function childrenToTriggerAndContent(eo){const to=reactExports.Children.toArray(eo);switch(to.length){case 2:return to;case 1:return[void 0,to[0]];default:return[void 0,void 0]}}function _extends$c(){return _extends$c=Object.assign?Object.assign.bind():function(eo){for(var to=1;to<arguments.length;to++){var ro=arguments[to];for(var no in ro)Object.prototype.hasOwnProperty.call(ro,no)&&(eo[no]=ro[no])}return eo},_extends$c.apply(this,arguments)}function _objectWithoutPropertiesLoose$3(eo,to){if(eo==null)return{};var ro={},no=Object.keys(eo),oo,io;for(io=0;io<no.length;io++)oo=no[io],!(to.indexOf(oo)>=0)&&(ro[oo]=eo[oo]);return ro}function _setPrototypeOf$2(eo,to){return _setPrototypeOf$2=Object.setPrototypeOf?Object.setPrototypeOf.bind():function(no,oo){return no.__proto__=oo,no},_setPrototypeOf$2(eo,to)}function _inheritsLoose$1(eo,to){eo.prototype=Object.create(to.prototype),eo.prototype.constructor=eo,_setPrototypeOf$2(eo,to)}var propTypes={exports:{}},ReactPropTypesSecret$1="SECRET_DO_NOT_PASS_THIS_OR_YOU_WILL_BE_FIRED",ReactPropTypesSecret_1=ReactPropTypesSecret$1,ReactPropTypesSecret=ReactPropTypesSecret_1;function emptyFunction(){}function emptyFunctionWithReset(){}emptyFunctionWithReset.resetWarningCache=emptyFunction;var factoryWithThrowingShims=function(){function eo(no,oo,io,so,ao,lo){if(lo!==ReactPropTypesSecret){var uo=new Error("Calling PropTypes validators directly is not supported by the `prop-types` package. Use PropTypes.checkPropTypes() to call them. Read more at http://fb.me/use-check-prop-types");throw uo.name="Invariant Violation",uo}}eo.isRequired=eo;function to(){return eo}var ro={array:eo,bigint:eo,bool:eo,func:eo,number:eo,object:eo,string:eo,symbol:eo,any:eo,arrayOf:to,element:eo,elementType:eo,instanceOf:to,node:eo,objectOf:to,oneOf:to,oneOfType:to,shape:to,exact:to,checkPropTypes:emptyFunctionWithReset,resetWarningCache:emptyFunction};return ro.PropTypes=ro,ro};propTypes.exports=factoryWithThrowingShims();var propTypesExports=propTypes.exports;const PropTypes=getDefaultExportFromCjs(propTypesExports),config$4={disabled:!1},TransitionGroupContext=React.createContext(null);var forceReflow=function(to){return to.scrollTop},UNMOUNTED="unmounted",EXITED="exited",ENTERING="entering",ENTERED="entered",EXITING="exiting",Transition=function(eo){_inheritsLoose$1(to,eo);function to(no,oo){var io;io=eo.call(this,no,oo)||this;var so=oo,ao=so&&!so.isMounting?no.enter:no.appear,lo;return io.appearStatus=null,no.in?ao?(lo=EXITED,io.appearStatus=ENTERING):lo=ENTERED:no.unmountOnExit||no.mountOnEnter?lo=UNMOUNTED:lo=EXITED,io.state={status:lo},io.nextCallback=null,io}to.getDerivedStateFromProps=function(oo,io){var so=oo.in;return so&&io.status===UNMOUNTED?{status:EXITED}:null};var ro=to.prototype;return ro.componentDidMount=function(){this.updateStatus(!0,this.appearStatus)},ro.componentDidUpdate=function(oo){var io=null;if(oo!==this.props){var so=this.state.status;this.props.in?so!==ENTERING&&so!==ENTERED&&(io=ENTERING):(so===ENTERING||so===ENTERED)&&(io=EXITING)}this.updateStatus(!1,io)},ro.componentWillUnmount=function(){this.cancelNextCallback()},ro.getTimeouts=function(){var oo=this.props.timeout,io,so,ao;return io=so=ao=oo,oo!=null&&typeof oo!="number"&&(io=oo.exit,so=oo.enter,ao=oo.appear!==void 0?oo.appear:so),{exit:io,enter:so,appear:ao}},ro.updateStatus=function(oo,io){if(oo===void 0&&(oo=!1),io!==null)if(this.cancelNextCallback(),io===ENTERING){if(this.props.unmountOnExit||this.props.mountOnEnter){var so=this.props.nodeRef?this.props.nodeRef.current:ReactDOM.findDOMNode(this);so&&forceReflow(so)}this.performEnter(oo)}else this.performExit();else this.props.unmountOnExit&&this.state.status===EXITED&&this.setState({status:UNMOUNTED})},ro.performEnter=function(oo){var io=this,so=this.props.enter,ao=this.context?this.context.isMounting:oo,lo=this.props.nodeRef?[ao]:[ReactDOM.findDOMNode(this),ao],uo=lo[0],co=lo[1],fo=this.getTimeouts(),ho=ao?fo.appear:fo.enter;if(!oo&&!so||config$4.disabled){this.safeSetState({status:ENTERED},function(){io.props.onEntered(uo)});return}this.props.onEnter(uo,co),this.safeSetState({status:ENTERING},function(){io.props.onEntering(uo,co),io.onTransitionEnd(ho,function(){io.safeSetState({status:ENTERED},function(){io.props.onEntered(uo,co)})})})},ro.performExit=function(){var oo=this,io=this.props.exit,so=this.getTimeouts(),ao=this.props.nodeRef?void 0:ReactDOM.findDOMNode(this);if(!io||config$4.disabled){this.safeSetState({status:EXITED},function(){oo.props.onExited(ao)});return}this.props.onExit(ao),this.safeSetState({status:EXITING},function(){oo.props.onExiting(ao),oo.onTransitionEnd(so.exit,function(){oo.safeSetState({status:EXITED},function(){oo.props.onExited(ao)})})})},ro.cancelNextCallback=function(){this.nextCallback!==null&&(this.nextCallback.cancel(),this.nextCallback=null)},ro.safeSetState=function(oo,io){io=this.setNextCallback(io),this.setState(oo,io)},ro.setNextCallback=function(oo){var io=this,so=!0;return this.nextCallback=function(ao){so&&(so=!1,io.nextCallback=null,oo(ao))},this.nextCallback.cancel=function(){so=!1},this.nextCallback},ro.onTransitionEnd=function(oo,io){this.setNextCallback(io);var so=this.props.nodeRef?this.props.nodeRef.current:ReactDOM.findDOMNode(this),ao=oo==null&&!this.props.addEndListener;if(!so||ao){setTimeout(this.nextCallback,0);return}if(this.props.addEndListener){var lo=this.props.nodeRef?[this.nextCallback]:[so,this.nextCallback],uo=lo[0],co=lo[1];this.props.addEndListener(uo,co)}oo!=null&&setTimeout(this.nextCallback,oo)},ro.render=function(){var oo=this.state.status;if(oo===UNMOUNTED)return null;var io=this.props,so=io.children;io.in,io.mountOnEnter,io.unmountOnExit,io.appear,io.enter,io.exit,io.timeout,io.addEndListener,io.onEnter,io.onEntering,io.onEntered,io.onExit,io.onExiting,io.onExited,io.nodeRef;var ao=_objectWithoutPropertiesLoose$3(io,["children","in","mountOnEnter","unmountOnExit","appear","enter","exit","timeout","addEndListener","onEnter","onEntering","onEntered","onExit","onExiting","onExited","nodeRef"]);return React.createElement(TransitionGroupContext.Provider,{value:null},typeof so=="function"?so(oo,ao):React.cloneElement(React.Children.only(so),ao))},to}(React.Component);Transition.contextType=TransitionGroupContext;Transition.propTypes={};function noop$5(){}Transition.defaultProps={in:!1,mountOnEnter:!1,unmountOnExit:!1,appear:!1,enter:!0,exit:!0,onEnter:noop$5,onEntering:noop$5,onEntered:noop$5,onExit:noop$5,onExiting:noop$5,onExited:noop$5};Transition.UNMOUNTED=UNMOUNTED;Transition.EXITED=EXITED;Transition.ENTERING=ENTERING;Transition.ENTERED=ENTERED;Transition.EXITING=EXITING;const Transition$1=Transition;function _assertThisInitialized$3(eo){if(eo===void 0)throw new ReferenceError("this hasn't been initialised - super() hasn't been called");return eo}const defaultContextValue=void 0,DialogTransitionContext=reactExports.createContext(void 0),DialogTransitionProvider=DialogTransitionContext.Provider,useDialogTransitionContext_unstable=()=>{var eo;return(eo=reactExports.useContext(DialogTransitionContext))!==null&&eo!==void 0?eo:defaultContextValue},renderDialog_unstable=(eo,to)=>{const{content:ro,trigger:no}=eo;return jsx$1(DialogProvider,{value:to.dialog,children:jsxs(DialogSurfaceProvider,{value:to.dialogSurface,children:[no,jsx$1(Transition$1,{mountOnEnter:!0,unmountOnExit:!0,in:eo.open,nodeRef:eo.dialogRef,appear:!0,timeout:250,children:oo=>jsx$1(DialogTransitionProvider,{value:oo,children:ro})})]})})};function useDialogContextValues_unstable(eo){const{modalType:to,open:ro,dialogRef:no,dialogTitleId:oo,isNestedDialog:io,inertTrapFocus:so,requestOpenChange:ao,modalAttributes:lo,triggerAttributes:uo}=eo;return{dialog:{open:ro,modalType:to,dialogRef:no,dialogTitleId:oo,isNestedDialog:io,inertTrapFocus:so,modalAttributes:lo,triggerAttributes:uo,requestOpenChange:ao},dialogSurface:!1}}const Dialog=reactExports.memo(eo=>{const to=useDialog_unstable(eo),ro=useDialogContextValues_unstable(to);return renderDialog_unstable(to,ro)});Dialog.displayName="Dialog";const useDialogTrigger_unstable=eo=>{const to=useDialogSurfaceContext_unstable(),{children:ro,disableButtonEnhancement:no=!1,action:oo=to?"close":"open"}=eo,io=getTriggerChild(ro),so=useDialogContext_unstable(fo=>fo.requestOpenChange),{triggerAttributes:ao}=useModalAttributes(),lo=useEventCallback$3(fo=>{var ho,po;io==null||(ho=(po=io.props).onClick)===null||ho===void 0||ho.call(po,fo),fo.isDefaultPrevented()||so({event:fo,type:"triggerClick",open:oo==="open"})}),uo={...io==null?void 0:io.props,ref:io==null?void 0:io.ref,onClick:lo,...ao},co=useARIAButtonProps((io==null?void 0:io.type)==="button"||(io==null?void 0:io.type)==="a"?io.type:"div",{...uo,type:"button"});return{children:applyTriggerPropsToChildren(ro,no?uo:co)}},renderDialogTrigger_unstable=eo=>eo.children,DialogTrigger=eo=>{const to=useDialogTrigger_unstable(eo);return renderDialogTrigger_unstable(to)};DialogTrigger.displayName="DialogTrigger";DialogTrigger.isFluentTriggerComponent=!0;const useDialogSurface_unstable=(eo,to)=>{const ro=useDialogContext_unstable(ho=>ho.modalType),no=useDialogContext_unstable(ho=>ho.isNestedDialog),oo=useDialogTransitionContext_unstable(),io=useDialogContext_unstable(ho=>ho.modalAttributes),so=useDialogContext_unstable(ho=>ho.dialogRef),ao=useDialogContext_unstable(ho=>ho.requestOpenChange),lo=useDialogContext_unstable(ho=>ho.dialogTitleId),uo=useEventCallback$3(ho=>{if(isResolvedShorthand(eo.backdrop)){var po,go;(po=(go=eo.backdrop).onClick)===null||po===void 0||po.call(go,ho)}ro==="modal"&&!ho.isDefaultPrevented()&&ao({event:ho,open:!1,type:"backdropClick"})}),co=useEventCallback$3(ho=>{var po;(po=eo.onKeyDown)===null||po===void 0||po.call(eo,ho),ho.key===Escape$1&&!ho.isDefaultPrevented()&&(ao({event:ho,open:!1,type:"escapeKeyDown"}),ho.preventDefault())}),fo=optional(eo.backdrop,{renderByDefault:ro!=="non-modal",defaultProps:{"aria-hidden":"true"},elementType:"div"});return fo&&(fo.onClick=uo),{components:{backdrop:"div",root:"div"},backdrop:fo,isNestedDialog:no,transitionStatus:oo,mountNode:eo.mountNode,root:always(getIntrinsicElementProps("div",{tabIndex:-1,"aria-modal":ro!=="non-modal",role:ro==="alert"?"alertdialog":"dialog","aria-labelledby":eo["aria-label"]?void 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active){.f16pcs8n[data-fui-focus-within]:focus-within::after{border-left-color:Highlight;}.fgclinu[data-fui-focus-within]:focus-within::after{border-right-color:Highlight;}}",{m:"(forced-colors: active)"}],["@media (forced-colors: active){.fycbxed[data-fui-focus-within]:focus-within::after{border-bottom-color:Highlight;}}",{m:"(forced-colors: active)"}],["@media (forced-colors: active){.fkc42ay{forced-color-adjust:none;}}",{m:"(forced-colors: active)"}],["@media (forced-colors: active){.f1rirnrt{background-color:Highlight;}}",{m:"(forced-colors: active)"}],["@media (forced-colors: active){.f1lkg8j3{color:HighlightText;}}",{m:"(forced-colors: active)"}],["@media (forced-colors: active){.f1nkj0oa .fui-CardPreview,.f1nkj0oa .fui-CardFooter{forced-color-adjust:auto;}}",{m:"(forced-colors: active)"}],["@media (forced-colors: active){.fey3rwa::after{border-top-color:Highlight;}}",{m:"(forced-colors: active)"}],["@media (forced-colors: active){.f5jhx11::after{border-right-color:Highlight;}.fff9uym::after{border-left-color:Highlight;}}",{m:"(forced-colors: active)"}],["@media (forced-colors: active){.fm7n0jy::after{border-bottom-color:Highlight;}}",{m:"(forced-colors: active)"}],["@media (forced-colors: active){.fpfvv3l:hover,.fpfvv3l :active{forced-color-adjust:none;}}",{m:"(forced-colors: active)"}],["@media (forced-colors: active){.f1oamsm6:hover,.f1oamsm6 :active{background-color:Highlight;}}",{m:"(forced-colors: active)"}],["@media (forced-colors: active){.f1il21bs:hover,.f1il21bs :active{color:HighlightText;}}",{m:"(forced-colors: active)"}],["@media (forced-colors: active){.fnn5dk0:hover .fui-CardPreview,.fnn5dk0 :active .fui-CardPreview,.fnn5dk0:hover .fui-CardFooter,.fnn5dk0 :active .fui-CardFooter{forced-color-adjust:auto;}}",{m:"(forced-colors: active)"}]],h:[".f1knas48:hover{background-color:var(--colorNeutralBackground1Hover);}",".f1m145df:hover{box-shadow:var(--shadow8);}",".f1kz6goq:hover{background-color:var(--colorNeutralBackground1Selected);}",".f1uvynv3:hover{background-color:var(--colorNeutralBackground2Hover);}",".fehi0vp:hover{background-color:var(--colorNeutralBackground2Selected);}",".fjxutwb:hover{background-color:var(--colorTransparentBackgroundHover);}",".f1llr77y:hover::after{border-top-color:var(--colorNeutralStroke1Hover);}",".fzk0khw:hover::after{border-right-color:var(--colorNeutralStroke1Hover);}",".fjj8tog:hover::after{border-left-color:var(--colorNeutralStroke1Hover);}",".fb1u8ub:hover::after{border-bottom-color:var(--colorNeutralStroke1Hover);}",".fg59vm4:hover{background-color:var(--colorTransparentBackgroundSelected);}",".f1t94bn6:hover{background-color:var(--colorSubtleBackgroundHover);}",".f1uqaxdt:hover{background-color:var(--colorSubtleBackgroundSelected);}"],a:[".fb40n2d:active{background-color:var(--colorNeutralBackground1Pressed);}",".f1yhgkbh:active{background-color:var(--colorNeutralBackground2Pressed);}",".fophhak:active{background-color:var(--colorTransparentBackgroundPressed);}",".f1uohb70:active::after{border-top-color:var(--colorNeutralStroke1Pressed);}",".f1jm7v1n:active::after{border-right-color:var(--colorNeutralStroke1Pressed);}",".f1bus3rq:active::after{border-left-color:var(--colorNeutralStroke1Pressed);}",".f1fbu7rr:active::after{border-bottom-color:var(--colorNeutralStroke1Pressed);}",".f1wfn5kd:active{background-color:var(--colorSubtleBackgroundPressed);}"]}),useCardStyles_unstable=eo=>{const to=useStyles$m(),ro={horizontal:to.orientationHorizontal,vertical:to.orientationVertical},no={small:to.sizeSmall,medium:to.sizeMedium,large:to.sizeLarge},oo={filled:to.filled,"filled-alternative":to.filledAlternative,outline:to.outline,subtle:to.subtle},io={filled:to.filledInteractiveSelected,"filled-alternative":to.filledAlternativeInteractiveSelected,outline:to.outlineInteractiveSelected,subtle:to.subtleInteractiveSelected},so={filled:to.filledInteractive,"filled-alternative":to.filledAlternativeInteractive,outline:to.outlineInteractive,subtle:to.subtleInteractive},ao=eo.interactive||eo.selectable,lo=reactExports.useMemo(()=>eo.selectable?eo.selectFocused?to.selectableFocused:"":to.focused,[eo.selectFocused,eo.selectable,to.focused,to.selectableFocused]);return eo.root.className=mergeClasses(cardClassNames.root,to.root,ro[eo.orientation],no[eo.size],oo[eo.appearance],ao&&so[eo.appearance],eo.selected&&io[eo.appearance],lo,ao&&to.highContrastInteractive,eo.selected&&to.highContrastSelected,eo.root.className),eo.floatingAction&&(eo.floatingAction.className=mergeClasses(cardClassNames.floatingAction,to.select,eo.floatingAction.className)),eo.checkbox&&(eo.checkbox.className=mergeClasses(cardClassNames.checkbox,to.hiddenCheckbox,eo.checkbox.className)),eo};function useCardContextValue({selectableA11yProps:eo}){return{selectableA11yProps:eo}}const Card=reactExports.forwardRef((eo,to)=>{const ro=useCard_unstable(eo,to),no=useCardContextValue(ro);return useCardStyles_unstable(ro),renderCard_unstable(ro,no)});Card.displayName="Card";function getChildWithId(eo){function to(ro){return reactExports.isValidElement(ro)&&!!ro.props.id}return reactExports.Children.toArray(eo).find(to)}function getReferenceId(eo,to,ro){return eo||(to!=null&&to.props.id?to.props.id:ro)}const useCardHeader_unstable=(eo,to)=>{const{image:ro,header:no,description:oo,action:io}=eo,{selectableA11yProps:{referenceId:so,setReferenceId:ao}}=useCardContext_unstable(),lo=reactExports.useRef(null),uo=reactExports.useRef(!1),co=useId$1(cardHeaderClassNames.header,so),fo=optional(no,{renderByDefault:!0,defaultProps:{ref:lo,id:uo.current?void 0:so},elementType:"div"});return reactExports.useEffect(()=>{var ho;const po=uo.current||(ho=lo.current)===null||ho===void 0?void 0:ho.id,go=getChildWithId(fo==null?void 0:fo.children);uo.current=!!go,ao(getReferenceId(po,go,co))},[co,no,fo,ao]),{components:{root:"div",image:"div",header:"div",description:"div",action:"div"},root:always(getIntrinsicElementProps("div",{ref:to,...eo}),{elementType:"div"}),image:optional(ro,{elementType:"div"}),header:fo,description:optional(oo,{elementType:"div"}),action:optional(io,{elementType:"div"})}},renderCardHeader_unstable=eo=>jsxs(eo.root,{children:[eo.image&&jsx$1(eo.image,{}),jsx$1(eo.header,{}),eo.description&&jsx$1(eo.description,{}),eo.action&&jsx$1(eo.action,{})]}),CardHeader=reactExports.forwardRef((eo,to)=>{const ro=useCardHeader_unstable(eo,to);return useCardHeaderStyles_unstable(ro),renderCardHeader_unstable(ro)});CardHeader.displayName="CardHeader";function getIntentIcon(eo){switch(eo){case"info":return reactExports.createElement(InfoFilled,null);case"warning":return reactExports.createElement(WarningFilled,null);case"error":return reactExports.createElement(ErrorCircleFilled,null);case"success":return reactExports.createElement(CheckmarkCircleFilled,null);default:return null}}function useMessageBarReflow(eo=!1){const{targetDocument:to}=useFluent(),ro=reactExports.useReducer(()=>({}),{})[1],no=reactExports.useRef(!1),oo=reactExports.useRef(null),io=reactExports.useRef(-1),so=reactExports.useCallback(lo=>{const uo=lo[0],co=uo==null?void 0:uo.borderBoxSize[0];if(!co||!uo)return;const{inlineSize:fo}=co,{target:ho}=uo;if(!isHTMLElement$6(ho))return;let po;if(no.current)io.current<fo&&(po=!1);else{const go=ho.scrollWidth;fo<go&&(po=!0)}io.current=fo,typeof po<"u"&&no.current!==po&&(no.current=po,ro())},[ro]),ao=reactExports.useCallback(lo=>{var uo;if(!eo||!lo||!(to!=null&&to.defaultView))return;(uo=oo.current)===null||uo===void 0||uo.disconnect();const co=to.defaultView,fo=new co.ResizeObserver(so);oo.current=fo,fo.observe(lo,{box:"border-box"})},[to,so,eo]);return reactExports.useEffect(()=>()=>{var lo;(lo=oo.current)===null||lo===void 0||lo.disconnect()},[]),{ref:ao,reflowing:no.current}}const messageBarTransitionContext=reactExports.createContext(void 0),messageBarTransitionContextDefaultValue={className:"",nodeRef:reactExports.createRef()};messageBarTransitionContext.Provider;const useMessageBarTransitionContext=()=>{var eo;return(eo=reactExports.useContext(messageBarTransitionContext))!==null&&eo!==void 0?eo:messageBarTransitionContextDefaultValue},useMessageBar_unstable=(eo,to)=>{const{layout:ro="auto",intent:no="info",politeness:oo,shape:io="rounded"}=eo,so=oo??no==="info"?"polite":"assertive",ao=ro==="auto",{ref:lo,reflowing:uo}=useMessageBarReflow(ao),co=ao?uo?"multiline":"singleline":ro,{className:fo,nodeRef:ho}=useMessageBarTransitionContext(),po=reactExports.useRef(null),go=reactExports.useRef(null),{announce:vo}=useAnnounce(),bo=useId$1();return reactExports.useEffect(()=>{var xo,_o;const Eo=(xo=go.current)===null||xo===void 0?void 0:xo.textContent,So=(_o=po.current)===null||_o===void 0?void 0:_o.textContent,To=[Eo,So].filter(Boolean).join(",");vo(To,{polite:so==="polite",alert:so==="assertive"})},[go,po,vo,so]),{components:{root:"div",icon:"div"},root:always(getIntrinsicElementProps("div",{ref:useMergedRefs$1(to,lo,ho),role:"group","aria-labelledby":bo,...eo}),{elementType:"div"}),icon:optional(eo.icon,{renderByDefault:!0,elementType:"div",defaultProps:{children:getIntentIcon(no)}}),layout:co,intent:no,transitionClassName:fo,actionsRef:po,bodyRef:go,titleId:bo,shape:io}},messageBarContext=reactExports.createContext(void 0),messageBarContextDefaultValue={titleId:"",layout:"singleline",actionsRef:reactExports.createRef(),bodyRef:reactExports.createRef()},MessageBarContextProvider=messageBarContext.Provider,useMessageBarContext=()=>{var eo;return(eo=reactExports.useContext(messageBarContext))!==null&&eo!==void 0?eo:messageBarContextDefaultValue},renderMessageBar_unstable=(eo,to)=>jsx$1(MessageBarContextProvider,{value:to.messageBar,children:jsxs(eo.root,{children:[eo.icon&&jsx$1(eo.icon,{}),eo.root.children]})}),messageBarClassNames={root:"fui-MessageBar",icon:"fui-MessageBar__icon"},useRootBaseStyles$2=__resetStyles("rashqx","ri1c0vc",['.rashqx{white-space:nowrap;display:grid;grid-template-columns:auto 1fr auto auto;grid-template-rows:1fr;grid-template-areas:"icon body secondaryActions actions";padding-left:var(--spacingHorizontalM);border-top-width:var(--strokeWidthThin);border-right-width:var(--strokeWidthThin);border-bottom-width:var(--strokeWidthThin);border-left-width:var(--strokeWidthThin);border-top-style:solid;border-right-style:solid;border-bottom-style:solid;border-left-style:solid;border-top-color:var(--colorNeutralStroke1);border-right-color:var(--colorNeutralStroke1);border-bottom-color:var(--colorNeutralStroke1);border-left-color:var(--colorNeutralStroke1);border-bottom-right-radius:var(--borderRadiusMedium);border-bottom-left-radius:var(--borderRadiusMedium);border-top-right-radius:var(--borderRadiusMedium);border-top-left-radius:var(--borderRadiusMedium);align-items:center;min-height:36px;box-sizing:border-box;background-color:var(--colorNeutralBackground3);}','.ri1c0vc{white-space:nowrap;display:grid;grid-template-columns:auto 1fr auto auto;grid-template-rows:1fr;grid-template-areas:"icon body secondaryActions 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1fr auto;}",'.f1w7oly7{grid-template-areas:"icon body actions" "secondaryActions secondaryActions secondaryActions";}',".f1e8xxv9{justify-content:end;}",".f1gaxbfw{margin-top:var(--spacingVerticalMNudge);}",".fqcjy3b{margin-bottom:var(--spacingVerticalS);}",".fibjyge{margin-right:0px;}",".f9yszdx{margin-left:0px;}",".f1krrbdw{border-bottom-right-radius:0;}",".f1deotkl{border-bottom-left-radius:0;}",".f10ostut{border-top-right-radius:0;}",".f1ozlkrg{border-top-left-radius:0;}"]}),useIconIntentStyles=__styles({info:{},error:{sj55zd:"f1ca9wz"},warning:{sj55zd:"f14a4cve"},success:{sj55zd:"f36rra6"}},{d:[".f1ca9wz{color:var(--colorStatusDangerForeground1);}",".f14a4cve{color:var(--colorStatusWarningForeground3);}",".f36rra6{color:var(--colorStatusSuccessForeground1);}"]}),useRootIntentStyles=__styles({info:{},error:{De3pzq:"f1eon7jj",g2u3we:"f1f8dvr7",h3c5rm:["f1g1ijmo","f1nxacbt"],B9xav0g:"fo25q1j",zhjwy3:["f1nxacbt","f1g1ijmo"]},warning:{De3pzq:"f13ftzij",g2u3we:"frd1ypx",h3c5rm:["f1gyjrma","f18qd5xz"],B9xav0g:"fqyqtrt",zhjwy3:["f18qd5xz","f1gyjrma"]},success:{De3pzq:"f64thcm",g2u3we:"f1b4u7v",h3c5rm:["f1nyd2b1","f70v3om"],B9xav0g:"fk173vo",zhjwy3:["f70v3om","f1nyd2b1"]}},{d:[".f1eon7jj{background-color:var(--colorStatusDangerBackground1);}",".f1f8dvr7{border-top-color:var(--colorStatusDangerBorder1);}",".f1g1ijmo{border-right-color:var(--colorStatusDangerBorder1);}",".f1nxacbt{border-left-color:var(--colorStatusDangerBorder1);}",".fo25q1j{border-bottom-color:var(--colorStatusDangerBorder1);}",".f13ftzij{background-color:var(--colorStatusWarningBackground1);}",".frd1ypx{border-top-color:var(--colorStatusWarningBorder1);}",".f1gyjrma{border-right-color:var(--colorStatusWarningBorder1);}",".f18qd5xz{border-left-color:var(--colorStatusWarningBorder1);}",".fqyqtrt{border-bottom-color:var(--colorStatusWarningBorder1);}",".f64thcm{background-color:var(--colorStatusSuccessBackground1);}",".f1b4u7v{border-top-color:var(--colorStatusSuccessBorder1);}",".f1nyd2b1{border-right-color:var(--colorStatusSuccessBorder1);}",".f70v3om{border-left-color:var(--colorStatusSuccessBorder1);}",".fk173vo{border-bottom-color:var(--colorStatusSuccessBorder1);}"]}),useMessageBarStyles_unstable=eo=>{const to=useRootBaseStyles$2(),ro=useIconBaseStyles(),no=useIconIntentStyles(),oo=useRootIntentStyles(),io=useStyles$l();return eo.root.className=mergeClasses(messageBarClassNames.root,to,eo.layout==="multiline"&&io.rootMultiline,eo.shape==="square"&&io.square,oo[eo.intent],eo.transitionClassName,eo.root.className),eo.icon&&(eo.icon.className=mergeClasses(messageBarClassNames.icon,ro,no[eo.intent],eo.icon.className)),eo};function useMessageBarContextValue_unstable(eo){const{layout:to,actionsRef:ro,bodyRef:no,titleId:oo}=eo;return{messageBar:reactExports.useMemo(()=>({layout:to,actionsRef:ro,bodyRef:no,titleId:oo}),[to,ro,no,oo])}}const MessageBar=reactExports.forwardRef((eo,to)=>{const ro=useMessageBar_unstable(eo,to);return useMessageBarStyles_unstable(ro),useCustomStyleHook("useMessageBarStyles_unstable")(ro),renderMessageBar_unstable(ro,useMessageBarContextValue_unstable(ro))});MessageBar.displayName="MessageBar";const useMessageBarTitle_unstable=(eo,to)=>{const{titleId:ro}=useMessageBarContext();return{components:{root:"span"},root:always(getIntrinsicElementProps("span",{ref:to,id:ro,...eo}),{elementType:"span"})}},renderMessageBarTitle_unstable=eo=>jsx$1(eo.root,{}),messageBarTitleClassNames={root:"fui-MessageBarTitle"},useRootBaseStyles$1=__resetStyles("r168xkm9",null,[".r168xkm9{font-family:var(--fontFamilyBase);font-size:var(--fontSizeBase300);font-weight:var(--fontWeightSemibold);line-height:var(--lineHeightBase300);}",'.r168xkm9::after{content:" ";}']),useMessageBarTitleStyles_unstable=eo=>{const to=useRootBaseStyles$1();return eo.root.className=mergeClasses(messageBarTitleClassNames.root,to,eo.root.className),eo},MessageBarTitle=reactExports.forwardRef((eo,to)=>{const ro=useMessageBarTitle_unstable(eo,to);return useMessageBarTitleStyles_unstable(ro),useCustomStyleHook("useMessageBarTitleStyles_unstable")(ro),renderMessageBarTitle_unstable(ro)});MessageBarTitle.displayName="MessageBarTitle";const useMessageBarBody_unstable=(eo,to)=>{const{bodyRef:ro}=useMessageBarContext();return{components:{root:"div"},root:always(getIntrinsicElementProps("div",{ref:useMergedRefs$1(to,ro),...eo}),{elementType:"div"})}},renderMessageBarBody_unstable=eo=>jsx$1(eo.root,{}),messageBarBodyClassNames={root:"fui-MessageBarBody"},useRootBaseStyles=__resetStyles("rnv3mfe","r1ixc1x8",[".rnv3mfe{font-family:var(--fontFamilyBase);font-size:var(--fontSizeBase300);font-weight:var(--fontWeightRegular);line-height:var(--lineHeightBase300);grid-row-start:body;grid-column-start:body;grid-row-end:body;grid-column-end:body;padding-right:var(--spacingHorizontalM);}",".r1ixc1x8{font-family:var(--fontFamilyBase);font-size:var(--fontSizeBase300);font-weight:var(--fontWeightRegular);line-height:var(--lineHeightBase300);grid-row-start:body;grid-column-start:body;grid-row-end:body;grid-column-end:body;padding-left:var(--spacingHorizontalM);}"]),useMessageBarBodyStyles_unstable=eo=>{const to=useRootBaseStyles();return eo.root.className=mergeClasses(messageBarBodyClassNames.root,to,eo.root.className),eo},MessageBarBody=reactExports.forwardRef((eo,to)=>{const ro=useMessageBarBody_unstable(eo,to);return useMessageBarBodyStyles_unstable(ro),useCustomStyleHook("useMessageBarBodyStyles_unstable")(ro),renderMessageBarBody_unstable(ro)});MessageBarBody.displayName="MessageBarBody";const useReducedMotion=()=>{var eo;const to=useFluent(),ro=reactExports.useRef(!1),no=canUseDOM$3()&&((eo=to.targetDocument)===null||eo===void 0?void 0:eo.defaultView),oo=reactExports.useCallback(io=>{ro.current=io.matches},[]);return useIsomorphicLayoutEffect$1(()=>{if(!no||!no.matchMedia)return;const io=no.matchMedia("screen and (prefers-reduced-motion: reduce)");return io.matches&&(ro.current=!0),io.addEventListener("change",oo),()=>io.removeEventListener("change",oo)},[oo,no]),ro.current},getCSSStyle=eo=>hasCSSOMSupport(eo)?eo.computedStyleMap():getElementComputedStyle(eo),hasCSSOMSupport=eo=>!!(typeof CSS<"u"&&CSS.number&&eo.computedStyleMap),getElementComputedStyle=eo=>{var to,ro;const no=canUseDOM$3()&&((ro=(to=eo.ownerDocument)===null||to===void 0?void 0:to.defaultView)!==null&&ro!==void 0?ro:window);return no?no.getComputedStyle(eo,null):{getPropertyValue:oo=>""}};function toMs(eo){const to=eo.trim();if(to.includes("auto"))return 0;if(to.endsWith("ms")){const ro=Number(to.replace("ms",""));return isNaN(ro)?0:ro}return Number(to.slice(0,-1).replace(",","."))*1e3}const getComputedMapProp=(eo,to)=>{const ro=eo.getAll(to);return ro.length>0?ro.map(({value:no,unit:oo})=>`${no}${oo}`):["0"]},getComputedStyleProp=(eo,to)=>{const ro=eo.getPropertyValue(to);return ro?ro.split(","):["0"]},getMaxCSSDuration=(eo,to)=>{const ro=Math.max(eo.length,to.length),no=[];if(ro===0)return 0;for(let oo=0;oo<ro;oo++){const io=toMs(eo[oo]||"0"),so=toMs(to[oo]||"0");no.push(io+so)}return Math.max(...no)},getMotionDuration=eo=>{const to=hasCSSOMSupport(eo),ro=getCSSStyle(eo),no=so=>to?getComputedMapProp(ro,so):getComputedStyleProp(ro,so),oo=getMaxCSSDuration(no("transition-duration"),no("transition-delay")),io=getMaxCSSDuration(no("animation-duration"),no("animation-delay"));return Math.max(oo,io)},useFirstMountCondition=eo=>{const to=reactExports.useRef(!0);return to.current&&eo?(to.current=!1,!0):to.current};function useMotionPresence(eo,to={}){const{animateOnFirstMount:ro,duration:no}={animateOnFirstMount:!1,...to},[oo,io]=reactExports.useState(eo&&ro?"entering":eo?"idle":"unmounted"),[so,ao]=reactExports.useState(!ro&&eo),[lo,uo]=useTimeout(),[co,fo]=useTimeout(),[ho,po]=useAnimationFrame(),[go,vo]=reactExports.useState(null),bo=useReducedMotion(),xo=useFirstMount(),_o=useFirstMountCondition(!!go),Eo=reactExports.useRef(eo).current,So=bo||_o&&Eo&&!ro,To=reactExports.useCallback(Oo=>{Oo&&vo(Oo)},[]),wo=reactExports.useCallback(Oo=>(co(()=>ho(Oo),0),()=>{fo(),po()}),[po,fo,ho,co]),Co=reactExports.useCallback(()=>{io(eo?"entered":"exited"),wo(()=>io(eo?"idle":"unmounted"))},[wo,eo]);return reactExports.useEffect(()=>{if(!xo){if(So){io(eo?"idle":"unmounted"),ao(eo);return}if(io(eo?"entering":"exiting"),!!go)return wo(()=>{ao(eo),wo(()=>{const Oo=no||getMotionDuration(go);if(Oo===0){Co();return}lo(()=>Co(),Oo)})}),()=>uo()}},[go,So,Co,eo]),reactExports.useMemo(()=>({ref:To,type:oo,active:so,canRender:eo||oo!=="unmounted"}),[so,oo,eo])}function useMotion(eo,to){const ro=typeof eo=="object",no=useMotionPresence(ro?!1:eo,to);return ro?eo:no}const useReducedMotionStyles=__styles({reduced:{Hwfdqs:"f1bggi9a"}},{m:[["@media screen and (prefers-reduced-motion: reduce){.f1bggi9a{transition-duration:0.01ms!important;}}",{m:"screen and (prefers-reduced-motion: reduce)"}]]});function assertMotionStyles(eo){}const useMotionClassNames=(eo,to)=>{const{reduced:ro}=useReducedMotionStyles(),no=reactExports.useMemo(()=>!to.enter&&!to.exit?"":eo.active||eo.type==="idle"?to.enter:eo.active?"":to.exit,[eo.active,eo.type,to.enter,to.exit]);return reactExports.useEffect(()=>void 0,[to]),mergeClasses(to.default,no,to[eo.type],ro)};function useDrawerDefaultProps(eo){const{open:to=!1,size:ro="small",position:no="start"}=eo;return{size:ro,position:no,open:to}}const useBackdropResetStyles=__resetStyles("rivxbo","r1trjn1z",[".rivxbo{top:0px;right:0px;bottom:0px;left:0px;position:fixed;background-color:rgba(0, 0, 0, 0.4);}",".r1trjn1z{top:0px;left:0px;bottom:0px;right:0px;position:fixed;background-color:rgba(0, 0, 0, 0.4);}"]),useBackdropStyles=__styles({nested:{De3pzq:"f1c21dwh"}},{d:[".f1c21dwh{background-color:var(--colorTransparentBackground);}"]}),useOverlayDrawerSurfaceStyles_unstable=eo=>{const to=useBackdropResetStyles(),ro=useBackdropStyles();return eo.backdrop&&(eo.backdrop.className=mergeClasses(to,eo.isNestedDialog&&ro.nested,eo.backdrop.className)),eo},OverlayDrawerSurface=reactExports.forwardRef((eo,to)=>{const ro=useDialogSurface_unstable(eo,to),no=useDialogSurfaceContextValues_unstable();return useOverlayDrawerSurfaceStyles_unstable(ro),renderDialogSurface_unstable(ro,no)});OverlayDrawerSurface.displayName="OverlayDrawerSurface";const useOverlayDrawer_unstable=(eo,to)=>{const{open:ro,size:no,position:oo}=useDrawerDefaultProps(eo),{modalType:io="modal",inertTrapFocus:so,defaultOpen:ao=!1,onOpenChange:lo}=eo,uo=useMotion(ro),co=resolveShorthand(eo.backdrop),ho=always({...eo,backdrop:io!=="non-modal"&&co!==null?{...co}:null},{elementType:OverlayDrawerSurface,defaultProps:{ref:useMergedRefs$1(to,uo.ref)}}),po=always({open:!0,defaultOpen:ao,onOpenChange:lo,inertTrapFocus:so,modalType:io,children:null},{elementType:Dialog});return{components:{root:OverlayDrawerSurface,dialog:Dialog},root:ho,dialog:po,size:no,position:oo,motion:uo}},renderOverlayDrawer_unstable=eo=>eo.motion.canRender?jsx$1(eo.dialog,{children:jsx$1(eo.root,{})}):null,useDrawerStyles=__styles({entering:{Bkqvd7p:"f18ad807"},exiting:{Bkqvd7p:"f1mfizis"},reducedMotion:{Hwfdqs:"f5e8c63"},start:{Bekrc4i:["f5tn483","f1ojsxk5"],vrafjx:["fcdblym","fjik90z"],h3c5rm:["f1gn591s","fjscplz"],oyh7mz:["f1vgc2s3","f1e31b4d"],j35jbq:["fvfyk4","frppm18"]},end:{ibv6hh:["f1ojsxk5","f5tn483"],wvpqe5:["fjik90z","fcdblym"],zhjwy3:["fjscplz","f1gn591s"],j35jbq:["f1e31b4d","f1vgc2s3"],oyh7mz:["frppm18","fvfyk4"]},small:{Bjr0ffy:"f1exhnwo"},medium:{Bjr0ffy:"fqofjzu"},large:{Bjr0ffy:"fce6y3m"},full:{Bjr0ffy:"fsdmzs6"}},{d:[".f18ad807{transition-timing-function:var(--curveDecelerateMid);}",".f1mfizis{transition-timing-function:var(--curveAccelerateMin);}",".f5tn483{border-right-width:var(--strokeWidthThin);}",".f1ojsxk5{border-left-width:var(--strokeWidthThin);}",".fcdblym{border-right-style:solid;}",".fjik90z{border-left-style:solid;}",".f1gn591s{border-right-color:var(--colorTransparentStroke);}",".fjscplz{border-left-color:var(--colorTransparentStroke);}",".f1vgc2s3{left:0;}",".f1e31b4d{right:0;}",".fvfyk4{right:auto;}",".frppm18{left:auto;}",".f1exhnwo{--fui-Drawer--size:320px;}",".fqofjzu{--fui-Drawer--size:592px;}",".fce6y3m{--fui-Drawer--size:940px;}",".fsdmzs6{--fui-Drawer--size:100vw;}"],m:[["@media screen and (prefers-reduced-motion: reduce){.f5e8c63{transition-duration:0.001ms;}}",{m:"screen and (prefers-reduced-motion: reduce)"}]]}),useDrawerDurationStyles=__styles({small:{B3o57yi:"fc397y7"},medium:{B3o57yi:"f78771"},large:{B3o57yi:"f9ymmep"},full:{B3o57yi:"f1loko9l"}},{d:[".fc397y7{transition-duration:var(--durationGentle);}",".f78771{transition-duration:var(--durationSlow);}",".f9ymmep{transition-duration:var(--durationSlower);}",".f1loko9l{transition-duration:var(--durationUltraSlow);}"]}),useDrawerBaseClassNames=({position:eo,size:to,motion:ro})=>{const no=useDrawerStyles(),oo=useDrawerDurationStyles();return mergeClasses(no[eo],oo[to],no[to],no.reducedMotion,ro.type==="entering"&&no.entering,ro.type==="exiting"&&no.exiting)},overlayDrawerClassNames={root:"fui-OverlayDrawer",backdrop:"fui-OverlayDrawer__backdrop"},useDrawerResetStyles=__resetStyles("r1vxc6jp","r1uky7bi",{r:[".r1vxc6jp{overflow-x:hidden;overflow-y:hidden;width:var(--fui-Drawer--size);max-width:100vw;height:auto;max-height:100vh;box-sizing:border-box;display:flex;flex-direction:column;align-items:flex-start;justify-content:flex-start;background-color:var(--colorNeutralBackground1);color:var(--colorNeutralForeground1);position:fixed;top:0;bottom:0;}",".r1vxc6jp:focus{outline-style:none;}",".r1vxc6jp:focus-visible{outline-style:none;}",".r1vxc6jp[data-fui-focus-visible]{border-top-color:transparent;border-right-color:transparent;border-bottom-color:transparent;border-left-color:transparent;}",'.r1vxc6jp[data-fui-focus-visible]::after{content:"";position:absolute;pointer-events:none;z-index:1;border-top-style:solid;border-right-style:solid;border-bottom-style:solid;border-left-style:solid;border-top-width:2px;border-right-width:2px;border-bottom-width:2px;border-left-width:2px;border-bottom-right-radius:var(--borderRadiusMedium);border-bottom-left-radius:var(--borderRadiusMedium);border-top-right-radius:var(--borderRadiusMedium);border-top-left-radius:var(--borderRadiusMedium);border-top-color:var(--colorStrokeFocus2);border-right-color:var(--colorStrokeFocus2);border-bottom-color:var(--colorStrokeFocus2);border-left-color:var(--colorStrokeFocus2);top:calc(2px * -1);right:calc(2px * -1);bottom:calc(2px * -1);left:calc(2px * -1);}',".r1uky7bi{overflow-x:hidden;overflow-y:hidden;width:var(--fui-Drawer--size);max-width:100vw;height:auto;max-height:100vh;box-sizing:border-box;display:flex;flex-direction:column;align-items:flex-start;justify-content:flex-start;background-color:var(--colorNeutralBackground1);color:var(--colorNeutralForeground1);position:fixed;top:0;bottom:0;}",".r1uky7bi:focus{outline-style:none;}",".r1uky7bi:focus-visible{outline-style:none;}",".r1uky7bi[data-fui-focus-visible]{border-top-color:transparent;border-left-color:transparent;border-bottom-color:transparent;border-right-color:transparent;}",'.r1uky7bi[data-fui-focus-visible]::after{content:"";position:absolute;pointer-events:none;z-index:1;border-top-style:solid;border-left-style:solid;border-bottom-style:solid;border-right-style:solid;border-top-width:2px;border-left-width:2px;border-bottom-width:2px;border-right-width:2px;border-bottom-left-radius:var(--borderRadiusMedium);border-bottom-right-radius:var(--borderRadiusMedium);border-top-left-radius:var(--borderRadiusMedium);border-top-right-radius:var(--borderRadiusMedium);border-top-color:var(--colorStrokeFocus2);border-left-color:var(--colorStrokeFocus2);border-bottom-color:var(--colorStrokeFocus2);border-right-color:var(--colorStrokeFocus2);top:calc(2px * -1);left:calc(2px * -1);bottom:calc(2px * -1);right:calc(2px * -1);}'],s:["@media (forced-colors: active){.r1vxc6jp[data-fui-focus-visible]::after{border-top-color:Highlight;border-right-color:Highlight;border-bottom-color:Highlight;border-left-color:Highlight;}}","@media (forced-colors: active){.r1uky7bi[data-fui-focus-visible]::after{border-top-color:Highlight;border-left-color:Highlight;border-bottom-color:Highlight;border-right-color:Highlight;}}"]}),useDrawerRootStyles=__styles({start:{Bz10aip:"f1d8gkik"},end:{Bz10aip:"f1g0pcr8"}},{d:[".f1d8gkik{transform:translate3D(calc(var(--fui-Drawer--size) * -1), 0, 0);}",".f1g0pcr8{transform:translate3D(calc(var(--fui-Drawer--size) * 1), 0, 0);}"]}),useDrawerMotionStyles=__styles({default:{abs64n:"fk73vx1",E5pizo:"ff88big",Bmy1vo4:"f1neo61",Es3by:"f1ytgekk"},enter:{abs64n:"f5p0z4x",Bz10aip:"f87uvqx",E5pizo:"f10nrhrw"}},{d:[".fk73vx1{opacity:0;}",".ff88big{box-shadow:0px var(--colorTransparentBackground);}",".f1neo61{transition-property:transform,box-shadow,opacity;}",".f1ytgekk{will-change:transform,box-shadow,opacity;}",".f5p0z4x{opacity:1;}",".f87uvqx{transform:translate3D(0, 0, 0);}",".f10nrhrw{box-shadow:var(--shadow64);}"]}),useBackdropMotionStyles=__styles({default:{abs64n:"fk73vx1",Bmy1vo4:"f13u1uyl",Bkqvd7p:"f17wnm97",Es3by:"f1gqqdtu"},enter:{abs64n:"f5p0z4x"}},{d:[".fk73vx1{opacity:0;}",".f13u1uyl{transition-property:opacity;}",".f17wnm97{transition-timing-function:var(--curveEasyEase);}",".f1gqqdtu{will-change:opacity;}",".f5p0z4x{opacity:1;}"]}),useOverlayDrawerStyles_unstable=eo=>{const to=useDrawerBaseClassNames(eo),ro=useDrawerResetStyles(),no=useDrawerRootStyles(),oo=useDrawerDurationStyles(),io=useMotionClassNames(eo.motion,useDrawerMotionStyles()),so=useMotionClassNames(eo.motion,useBackdropMotionStyles()),ao=eo.root.backdrop;return eo.root.className=mergeClasses(overlayDrawerClassNames.root,to,ro,no[eo.position],io,eo.root.className),ao&&(ao.className=mergeClasses(overlayDrawerClassNames.backdrop,so,oo[eo.size],ao.className)),eo},OverlayDrawer=reactExports.forwardRef((eo,to)=>{const ro=useOverlayDrawer_unstable(eo,to);return useOverlayDrawerStyles_unstable(ro),useCustomStyleHook("useDrawerOverlayStyles_unstable")(ro),useCustomStyleHook("useOverlayDrawerStyles_unstable")(ro),renderOverlayDrawer_unstable(ro)});OverlayDrawer.displayName="OverlayDrawer";const useBreadcrumb_unstable=(eo,to)=>{const{focusMode:ro="tab",size:no="medium",list:oo,...io}=eo,so=useArrowNavigationGroup({circular:!0,axis:"horizontal",memorizeCurrent:!0});var ao;return{components:{root:"nav",list:"ol"},root:always(getIntrinsicElementProps("nav",{ref:to,"aria-label":(ao=eo["aria-label"])!==null&&ao!==void 0?ao:"breadcrumb",...ro==="arrow"?so:{},...io}),{elementType:"nav"}),list:optional(oo,{renderByDefault:!0,defaultProps:{role:"list"},elementType:"ol"}),size:no}},BreadcrumbContext=reactExports.createContext(void 0),breadcrumbDefaultValue={size:"medium"},BreadcrumbProvider=BreadcrumbContext.Provider,useBreadcrumbContext_unstable=()=>{var eo;return(eo=reactExports.useContext(BreadcrumbContext))!==null&&eo!==void 0?eo:breadcrumbDefaultValue},renderBreadcrumb_unstable=(eo,to)=>jsx$1(eo.root,{children:jsx$1(BreadcrumbProvider,{value:to,children:eo.list&&jsx$1(eo.list,{children:eo.root.children})})}),breadcrumbClassNames={root:"fui-Breadcrumb",list:"fui-Breadcrumb__list"},useListClassName=__resetStyles("rc5rb6b",null,[".rc5rb6b{list-style-type:none;display:flex;align-items:center;margin:0;padding:0;}"]),useBreadcrumbStyles_unstable=eo=>{const to=useListClassName();return eo.root.className=mergeClasses(breadcrumbClassNames.root,eo.root.className),eo.list&&(eo.list.className=mergeClasses(to,breadcrumbClassNames.list,eo.list.className)),eo};function useBreadcrumbContextValues_unstable(eo){const{size:to}=eo;return reactExports.useMemo(()=>({size:to}),[to])}const Breadcrumb=reactExports.forwardRef((eo,to)=>{const ro=useBreadcrumb_unstable(eo,to),no=useBreadcrumbContextValues_unstable(ro);return useBreadcrumbStyles_unstable(ro),useCustomStyleHook("useBreadcrumbStyles_unstable")(ro),renderBreadcrumb_unstable(ro,no)});Breadcrumb.displayName="Breadcrumb";const useBreadcrumbDivider_unstable=(eo,to)=>{const{size:ro}=useBreadcrumbContext_unstable(),{dir:no}=useFluent(),oo=getDividerIcon(ro,no);return{components:{root:"li"},root:always(getIntrinsicElementProps("li",{ref:to,"aria-hidden":!0,children:oo,...eo}),{elementType:"li"})}},dividerIcons={rtl:{small:reactExports.createElement(ChevronLeft12Regular,null),medium:reactExports.createElement(ChevronLeft16Regular,null),large:reactExports.createElement(ChevronLeft20Regular,null)},ltr:{small:reactExports.createElement(ChevronRight12Regular,null),medium:reactExports.createElement(ChevronRight16Regular,null),large:reactExports.createElement(ChevronRight20Regular,null)}};function getDividerIcon(eo="medium",to){const ro=to==="rtl"?dividerIcons.rtl:dividerIcons.ltr;return eo==="small"?ro.small:eo==="large"?ro.large:ro.medium}const renderBreadcrumbDivider_unstable=eo=>jsx$1(eo.root,{}),breadcrumbDividerClassNames={root:"fui-BreadcrumbDivider"},useStyles$k=__styles({root:{mc9l5x:"f22iagw"}},{d:[".f22iagw{display:flex;}"]}),useBreadcrumbDividerStyles_unstable=eo=>{const to=useStyles$k();return eo.root.className=mergeClasses(breadcrumbDividerClassNames.root,to.root,eo.root.className),eo},BreadcrumbDivider=reactExports.forwardRef((eo,to)=>{const ro=useBreadcrumbDivider_unstable(eo,to);return useBreadcrumbDividerStyles_unstable(ro),useCustomStyleHook("useBreadcrumbDividerStyles_unstable")(ro),renderBreadcrumbDivider_unstable(ro)});BreadcrumbDivider.displayName="BreadcrumbDivider";const useBreadcrumbItem_unstable=(eo,to)=>{const{size:ro}=useBreadcrumbContext_unstable();return{components:{root:"li"},root:always(getIntrinsicElementProps("li",{ref:to,...eo}),{elementType:"li"}),size:ro}},renderBreadcrumbItem_unstable=eo=>jsx$1(eo.root,{children:eo.root.children}),breadcrumbItemClassNames={root:"fui-BreadcrumbItem"},useBreadcrumbItemResetStyles=__resetStyles("r1tl60rs",null,[".r1tl60rs{display:flex;align-items:center;color:var(--colorNeutralForeground2);box-sizing:border-box;text-wrap:nowrap;}"]),useBreadcrumbItemStyles_unstable=eo=>{const to=useBreadcrumbItemResetStyles();return eo.root.className=mergeClasses(breadcrumbItemClassNames.root,to,eo.root.className),eo},BreadcrumbItem=reactExports.forwardRef((eo,to)=>{const ro=useBreadcrumbItem_unstable(eo,to);return useBreadcrumbItemStyles_unstable(ro),useCustomStyleHook("useBreadcrumbItemStyles_unstable")(ro),renderBreadcrumbItem_unstable(ro)});BreadcrumbItem.displayName="BreadcrumbItem";const useBreadcrumbButton_unstable=(eo,to)=>{const{size:ro}=useBreadcrumbContext_unstable(),{current:no=!1,as:oo,...io}=eo,so=oo??eo.href?"a":"button";var ao,lo;return{...useButton_unstable({appearance:"subtle",role:void 0,type:void 0,as:so,iconPosition:"before","aria-current":no?(ao=eo["aria-current"])!==null&&ao!==void 0?ao:"page":void 0,"aria-disabled":no?(lo=eo["aria-disabled"])!==null&&lo!==void 0?lo:!0:void 0,...io},to),current:no,size:ro}},renderBreadcrumbButton_unstable=eo=>renderButton_unstable(eo),breadcrumbButtonClassNames={root:"fui-BreadcrumbButton",icon:"fui-BreadcrumbButton__icon"},useIconStyles=__styles({base:{Be2twd7:"fsj74e5",Bqenvij:"f1qfv4wv",Bg96gwp:"f15xapk4",a9b677:"f17j33op",t21cq0:["fm0x6gh","fbyavb5"]},small:{u3h8gg:"f1qfi7kw",Biu6dll:"f1876atl"},medium:{u3h8gg:"f1h9446d",Biu6dll:"f10xfswh"},large:{u3h8gg:"f5hcofs",Biu6dll:"f1a6v6zl"}},{d:[".fsj74e5{font-size:var(--fui-Breadcrumb--icon-size);}",".f1qfv4wv{height:var(--fui-Breadcrumb--icon-size);}",".f15xapk4{line-height:var(--fui-Breadcrumb--icon-line-height);}",".f17j33op{width:var(--fui-Breadcrumb--icon-size);}",".fm0x6gh{margin-right:var(--spacingHorizontalXS);}",".fbyavb5{margin-left:var(--spacingHorizontalXS);}",".f1qfi7kw{--fui-Breadcrumb--icon-size:12px;}",".f1876atl{--fui-Breadcrumb--icon-line-height:var(--lineHeightBase200);}",".f1h9446d{--fui-Breadcrumb--icon-size:16px;}",".f10xfswh{--fui-Breadcrumb--icon-line-height:var(--lineHeightBase400);}",".f5hcofs{--fui-Breadcrumb--icon-size:20px;}",".f1a6v6zl{--fui-Breadcrumb--icon-line-height:var(--lineHeightBase600);}"]}),useStyles$j=__styles({root:{Bf4jedk:"f18p0k4z",j4b8c3:"fv6wr3j",icvyot:"f1ern45e",vrafjx:["f1n71otn","f1deefiw"],oivjwe:"f1h8hb77",wvpqe5:["f1deefiw","f1n71otn"]},small:{Bqenvij:"frvgh55",Bahqtrf:"fk6fouc",Be2twd7:"fy9rknc",Bhrd7zp:"figsok6",Bg96gwp:"fwrc4pm",z8tnut:"f16k8034",z189sj:["fdw0yi8","fk8j09s"],Byoj8tv:"f1angvds",uwmqm3:["fk8j09s","fdw0yi8"]},medium:{Bqenvij:"f1d2rq10",Bahqtrf:"fk6fouc",Be2twd7:"fkhj508",Bhrd7zp:"figsok6",Bg96gwp:"f1i3iumi",z8tnut:"f16k8034",z189sj:["fdw0yi8","fk8j09s"],Byoj8tv:"f1angvds",uwmqm3:["fk8j09s","fdw0yi8"]},large:{Bqenvij:"fbhnoac",Bahqtrf:"fk6fouc",Be2twd7:"fod5ikn",Bhrd7zp:"figsok6",Bg96gwp:"faaz57k",z8tnut:"f17mpqex",z189sj:["f1vdfbxk","f1f5gg8d"],Byoj8tv:"fdvome7",uwmqm3:["f1f5gg8d","f1vdfbxk"]},current:{Jwef8y:"f9ql6rf",Bi91k9c:"f3p8bqa",eoavqd:"f14w7a5u",Bbdnnc7:"f1irjp3o",Bk3fhr4:"f19vpps7",Bmfj8id:"fv5swzo",iro3zm:"f3h1zc4",B2d53fq:"f1xkgyln",c3iz72:"f17wbbfx",x3br3k:"fofxw0a",em6i61:"f1ol4fw6",vm6p8p:"f1q1lw4e",Bszkowt:"ff24m",Dyrjrp:"ft5r8e9",ezr58z:"f1cbpfqp",nhk3du:"f1motppv",Bfrek18:"fi9vkhg",G209fr:"f1fg3nnv"},currentSmall:{Bahqtrf:"fk6fouc",Be2twd7:"fy9rknc",Bhrd7zp:"fl43uef",Bg96gwp:"fwrc4pm"},currentMedium:{Bahqtrf:"fk6fouc",Be2twd7:"fkhj508",Bhrd7zp:"fl43uef",Bg96gwp:"f1i3iumi"},currentLarge:{Bahqtrf:"fk6fouc",Be2twd7:"fod5ikn",Bhrd7zp:"fl43uef",Bg96gwp:"faaz57k"}},{d:[".f18p0k4z{min-width:unset;}",".fv6wr3j{text-wrap:nowrap;}",".f1ern45e{border-top-style:none;}",".f1n71otn{border-right-style:none;}",".f1deefiw{border-left-style:none;}",".f1h8hb77{border-bottom-style:none;}",".frvgh55{height:24px;}",".fk6fouc{font-family:var(--fontFamilyBase);}",".fy9rknc{font-size:var(--fontSizeBase200);}",".figsok6{font-weight:var(--fontWeightRegular);}",".fwrc4pm{line-height:var(--lineHeightBase200);}",".f16k8034{padding-top:var(--spacingHorizontalSNudge);}",".fdw0yi8{padding-right:var(--spacingHorizontalSNudge);}",".fk8j09s{padding-left:var(--spacingHorizontalSNudge);}",".f1angvds{padding-bottom:var(--spacingHorizontalSNudge);}",".f1d2rq10{height:32px;}",".fkhj508{font-size:var(--fontSizeBase300);}",".f1i3iumi{line-height:var(--lineHeightBase300);}",".fbhnoac{height:40px;}",".fod5ikn{font-size:var(--fontSizeBase400);}",".faaz57k{line-height:var(--lineHeightBase400);}",".f17mpqex{padding-top:var(--spacingHorizontalS);}",".f1vdfbxk{padding-right:var(--spacingHorizontalS);}",".f1f5gg8d{padding-left:var(--spacingHorizontalS);}",".fdvome7{padding-bottom:var(--spacingHorizontalS);}",".ff24m:disabled{background-color:var(--colorTransparentBackground);}",".ft5r8e9:disabled{color:var(--colorNeutralForeground2);}",".f1cbpfqp:disabled{cursor:auto;}",".f1motppv:disabled .fui-Button__icon{color:unset;}",".fi9vkhg:disabled .fui-Icon-filled{display:none;}",".f1fg3nnv:disabled .fui-Icon-regular{display:inline;}",".fl43uef{font-weight:var(--fontWeightSemibold);}"],h:[".f9ql6rf:hover{background-color:var(--colorTransparentBackground);}",".f3p8bqa:hover{color:var(--colorNeutralForeground2);}",".f14w7a5u:hover{cursor:auto;}",".f1irjp3o:hover .fui-Button__icon{color:unset;}",".f19vpps7:hover .fui-Icon-filled{display:none;}",".fv5swzo:hover .fui-Icon-regular{display:inline;}",".f3h1zc4:hover:active{background-color:var(--colorTransparentBackground);}",".f1xkgyln:hover:active{color:var(--colorNeutralForeground2);}",".f17wbbfx:hover:active{cursor:auto;}",".fofxw0a:hover:active .fui-Button__icon{color:unset;}",".f1ol4fw6:hover:active .fui-Icon-filled{display:none;}",".f1q1lw4e:hover:active .fui-Icon-regular{display:inline;}"]}),useBreadcrumbButtonStyles_unstable=eo=>{const to=useStyles$j(),ro=useIconStyles(),no={small:to.currentSmall,medium:to.currentMedium,large:to.currentLarge};return eo.root.className=mergeClasses(breadcrumbButtonClassNames.root,to[eo.size],to.root,eo.current&&no[eo.size],eo.current&&to.current,eo.root.className),eo.icon&&(eo.icon.className=mergeClasses(ro.base,ro[eo.size],eo.icon.className)),useButtonStyles_unstable(eo),eo},BreadcrumbButton=reactExports.forwardRef((eo,to)=>{const ro=useBreadcrumbButton_unstable(eo,to);return useBreadcrumbButtonStyles_unstable(ro),useCustomStyleHook("useBreadcrumbButtonStyles_unstable")(ro),renderBreadcrumbButton_unstable(ro)});BreadcrumbButton.displayName="BreadcrumbButton";var axios$1={exports:{}},bind$2=function(to,ro){return function(){for(var oo=new Array(arguments.length),io=0;io<oo.length;io++)oo[io]=arguments[io];return to.apply(ro,oo)}},bind$1=bind$2,toString$3=Object.prototype.toString;function isArray$f(eo){return toString$3.call(eo)==="[object Array]"}function isUndefined(eo){return typeof eo>"u"}function isBuffer$4(eo){return eo!==null&&!isUndefined(eo)&&eo.constructor!==null&&!isUndefined(eo.constructor)&&typeof eo.constructor.isBuffer=="function"&&eo.constructor.isBuffer(eo)}function isArrayBuffer(eo){return toString$3.call(eo)==="[object ArrayBuffer]"}function isFormData(eo){return typeof FormData<"u"&&eo instanceof FormData}function isArrayBufferView(eo){var to;return typeof ArrayBuffer<"u"&&ArrayBuffer.isView?to=ArrayBuffer.isView(eo):to=eo&&eo.buffer&&eo.buffer instanceof ArrayBuffer,to}function isString$1(eo){return typeof eo=="string"}function isNumber$1(eo){return typeof eo=="number"}function isObject$g(eo){return eo!==null&&typeof eo=="object"}function isPlainObject$2(eo){if(toString$3.call(eo)!=="[object Object]")return!1;var to=Object.getPrototypeOf(eo);return to===null||to===Object.prototype}function isDate(eo){return toString$3.call(eo)==="[object Date]"}function isFile(eo){return toString$3.call(eo)==="[object File]"}function isBlob(eo){return toString$3.call(eo)==="[object Blob]"}function isFunction$6(eo){return toString$3.call(eo)==="[object Function]"}function isStream(eo){return isObject$g(eo)&&isFunction$6(eo.pipe)}function isURLSearchParams(eo){return typeof URLSearchParams<"u"&&eo instanceof URLSearchParams}function trim$1(eo){return eo.trim?eo.trim():eo.replace(/^\s+|\s+$/g,"")}function isStandardBrowserEnv(){return typeof navigator<"u"&&(navigator.product==="ReactNative"||navigator.product==="NativeScript"||navigator.product==="NS")?!1:typeof window<"u"&&typeof document<"u"}function forEach(eo,to){if(!(eo===null||typeof eo>"u"))if(typeof eo!="object"&&(eo=[eo]),isArray$f(eo))for(var ro=0,no=eo.length;ro<no;ro++)to.call(null,eo[ro],ro,eo);else for(var oo in eo)Object.prototype.hasOwnProperty.call(eo,oo)&&to.call(null,eo[oo],oo,eo)}function merge$4(){var eo={};function to(oo,io){isPlainObject$2(eo[io])&&isPlainObject$2(oo)?eo[io]=merge$4(eo[io],oo):isPlainObject$2(oo)?eo[io]=merge$4({},oo):isArray$f(oo)?eo[io]=oo.slice():eo[io]=oo}for(var ro=0,no=arguments.length;ro<no;ro++)forEach(arguments[ro],to);return eo}function extend$2(eo,to,ro){return forEach(to,function(oo,io){ro&&typeof oo=="function"?eo[io]=bind$1(oo,ro):eo[io]=oo}),eo}function stripBOM(eo){return eo.charCodeAt(0)===65279&&(eo=eo.slice(1)),eo}var utils$9={isArray:isArray$f,isArrayBuffer,isBuffer:isBuffer$4,isFormData,isArrayBufferView,isString:isString$1,isNumber:isNumber$1,isObject:isObject$g,isPlainObject:isPlainObject$2,isUndefined,isDate,isFile,isBlob,isFunction:isFunction$6,isStream,isURLSearchParams,isStandardBrowserEnv,forEach,merge:merge$4,extend:extend$2,trim:trim$1,stripBOM},utils$8=utils$9;function encode$1(eo){return encodeURIComponent(eo).replace(/%3A/gi,":").replace(/%24/g,"$").replace(/%2C/gi,",").replace(/%20/g,"+").replace(/%5B/gi,"[").replace(/%5D/gi,"]")}var buildURL$1=function(to,ro,no){if(!ro)return to;var oo;if(no)oo=no(ro);else if(utils$8.isURLSearchParams(ro))oo=ro.toString();else{var io=[];utils$8.forEach(ro,function(lo,uo){lo===null||typeof lo>"u"||(utils$8.isArray(lo)?uo=uo+"[]":lo=[lo],utils$8.forEach(lo,function(fo){utils$8.isDate(fo)?fo=fo.toISOString():utils$8.isObject(fo)&&(fo=JSON.stringify(fo)),io.push(encode$1(uo)+"="+encode$1(fo))}))}),oo=io.join("&")}if(oo){var so=to.indexOf("#");so!==-1&&(to=to.slice(0,so)),to+=(to.indexOf("?")===-1?"?":"&")+oo}return to},utils$7=utils$9;function InterceptorManager$1(){this.handlers=[]}InterceptorManager$1.prototype.use=function(to,ro,no){return this.handlers.push({fulfilled:to,rejected:ro,synchronous:no?no.synchronous:!1,runWhen:no?no.runWhen:null}),this.handlers.length-1};InterceptorManager$1.prototype.eject=function(to){this.handlers[to]&&(this.handlers[to]=null)};InterceptorManager$1.prototype.forEach=function(to){utils$7.forEach(this.handlers,function(no){no!==null&&to(no)})};var InterceptorManager_1=InterceptorManager$1,utils$6=utils$9,normalizeHeaderName$1=function(to,ro){utils$6.forEach(to,function(oo,io){io!==ro&&io.toUpperCase()===ro.toUpperCase()&&(to[ro]=oo,delete to[io])})},enhanceError$1=function(to,ro,no,oo,io){return to.config=ro,no&&(to.code=no),to.request=oo,to.response=io,to.isAxiosError=!0,to.toJSON=function(){return{message:this.message,name:this.name,description:this.description,number:this.number,fileName:this.fileName,lineNumber:this.lineNumber,columnNumber:this.columnNumber,stack:this.stack,config:this.config,code:this.code}},to},createError,hasRequiredCreateError;function requireCreateError(){if(hasRequiredCreateError)return createError;hasRequiredCreateError=1;var eo=enhanceError$1;return createError=function(ro,no,oo,io,so){var ao=new Error(ro);return eo(ao,no,oo,io,so)},createError}var settle,hasRequiredSettle;function requireSettle(){if(hasRequiredSettle)return settle;hasRequiredSettle=1;var eo=requireCreateError();return settle=function(ro,no,oo){var io=oo.config.validateStatus;!oo.status||!io||io(oo.status)?ro(oo):no(eo("Request failed with status code "+oo.status,oo.config,null,oo.request,oo))},settle}var cookies,hasRequiredCookies;function requireCookies(){if(hasRequiredCookies)return cookies;hasRequiredCookies=1;var eo=utils$9;return cookies=eo.isStandardBrowserEnv()?function(){return{write:function(no,oo,io,so,ao,lo){var uo=[];uo.push(no+"="+encodeURIComponent(oo)),eo.isNumber(io)&&uo.push("expires="+new Date(io).toGMTString()),eo.isString(so)&&uo.push("path="+so),eo.isString(ao)&&uo.push("domain="+ao),lo===!0&&uo.push("secure"),document.cookie=uo.join("; ")},read:function(no){var oo=document.cookie.match(new RegExp("(^|;\\s*)("+no+")=([^;]*)"));return oo?decodeURIComponent(oo[3]):null},remove:function(no){this.write(no,"",Date.now()-864e5)}}}():function(){return{write:function(){},read:function(){return null},remove:function(){}}}(),cookies}var isAbsoluteURL,hasRequiredIsAbsoluteURL;function requireIsAbsoluteURL(){return hasRequiredIsAbsoluteURL||(hasRequiredIsAbsoluteURL=1,isAbsoluteURL=function(to){return/^([a-z][a-z\d\+\-\.]*:)?\/\//i.test(to)}),isAbsoluteURL}var combineURLs,hasRequiredCombineURLs;function requireCombineURLs(){return hasRequiredCombineURLs||(hasRequiredCombineURLs=1,combineURLs=function(to,ro){return ro?to.replace(/\/+$/,"")+"/"+ro.replace(/^\/+/,""):to}),combineURLs}var buildFullPath,hasRequiredBuildFullPath;function requireBuildFullPath(){if(hasRequiredBuildFullPath)return buildFullPath;hasRequiredBuildFullPath=1;var eo=requireIsAbsoluteURL(),to=requireCombineURLs();return buildFullPath=function(no,oo){return no&&!eo(oo)?to(no,oo):oo},buildFullPath}var parseHeaders,hasRequiredParseHeaders;function requireParseHeaders(){if(hasRequiredParseHeaders)return parseHeaders;hasRequiredParseHeaders=1;var eo=utils$9,to=["age","authorization","content-length","content-type","etag","expires","from","host","if-modified-since","if-unmodified-since","last-modified","location","max-forwards","proxy-authorization","referer","retry-after","user-agent"];return parseHeaders=function(no){var oo={},io,so,ao;return no&&eo.forEach(no.split(`
+`),function(uo){if(ao=uo.indexOf(":"),io=eo.trim(uo.substr(0,ao)).toLowerCase(),so=eo.trim(uo.substr(ao+1)),io){if(oo[io]&&to.indexOf(io)>=0)return;io==="set-cookie"?oo[io]=(oo[io]?oo[io]:[]).concat([so]):oo[io]=oo[io]?oo[io]+", "+so:so}}),oo},parseHeaders}var isURLSameOrigin,hasRequiredIsURLSameOrigin;function requireIsURLSameOrigin(){if(hasRequiredIsURLSameOrigin)return isURLSameOrigin;hasRequiredIsURLSameOrigin=1;var eo=utils$9;return isURLSameOrigin=eo.isStandardBrowserEnv()?function(){var ro=/(msie|trident)/i.test(navigator.userAgent),no=document.createElement("a"),oo;function io(so){var ao=so;return ro&&(no.setAttribute("href",ao),ao=no.href),no.setAttribute("href",ao),{href:no.href,protocol:no.protocol?no.protocol.replace(/:$/,""):"",host:no.host,search:no.search?no.search.replace(/^\?/,""):"",hash:no.hash?no.hash.replace(/^#/,""):"",hostname:no.hostname,port:no.port,pathname:no.pathname.charAt(0)==="/"?no.pathname:"/"+no.pathname}}return oo=io(window.location.href),function(ao){var lo=eo.isString(ao)?io(ao):ao;return lo.protocol===oo.protocol&&lo.host===oo.host}}():function(){return function(){return!0}}(),isURLSameOrigin}var xhr,hasRequiredXhr;function requireXhr(){if(hasRequiredXhr)return xhr;hasRequiredXhr=1;var eo=utils$9,to=requireSettle(),ro=requireCookies(),no=buildURL$1,oo=requireBuildFullPath(),io=requireParseHeaders(),so=requireIsURLSameOrigin(),ao=requireCreateError();return xhr=function(uo){return new Promise(function(fo,ho){var po=uo.data,go=uo.headers,vo=uo.responseType;eo.isFormData(po)&&delete go["Content-Type"];var bo=new XMLHttpRequest;if(uo.auth){var xo=uo.auth.username||"",_o=uo.auth.password?unescape(encodeURIComponent(uo.auth.password)):"";go.Authorization="Basic "+btoa(xo+":"+_o)}var Eo=oo(uo.baseURL,uo.url);bo.open(uo.method.toUpperCase(),no(Eo,uo.params,uo.paramsSerializer),!0),bo.timeout=uo.timeout;function So(){if(bo){var wo="getAllResponseHeaders"in bo?io(bo.getAllResponseHeaders()):null,Co=!vo||vo==="text"||vo==="json"?bo.responseText:bo.response,Oo={data:Co,status:bo.status,statusText:bo.statusText,headers:wo,config:uo,request:bo};to(fo,ho,Oo),bo=null}}if("onloadend"in bo?bo.onloadend=So:bo.onreadystatechange=function(){!bo||bo.readyState!==4||bo.status===0&&!(bo.responseURL&&bo.responseURL.indexOf("file:")===0)||setTimeout(So)},bo.onabort=function(){bo&&(ho(ao("Request aborted",uo,"ECONNABORTED",bo)),bo=null)},bo.onerror=function(){ho(ao("Network Error",uo,null,bo)),bo=null},bo.ontimeout=function(){var Co="timeout of "+uo.timeout+"ms exceeded";uo.timeoutErrorMessage&&(Co=uo.timeoutErrorMessage),ho(ao(Co,uo,uo.transitional&&uo.transitional.clarifyTimeoutError?"ETIMEDOUT":"ECONNABORTED",bo)),bo=null},eo.isStandardBrowserEnv()){var To=(uo.withCredentials||so(Eo))&&uo.xsrfCookieName?ro.read(uo.xsrfCookieName):void 0;To&&(go[uo.xsrfHeaderName]=To)}"setRequestHeader"in bo&&eo.forEach(go,function(Co,Oo){typeof po>"u"&&Oo.toLowerCase()==="content-type"?delete go[Oo]:bo.setRequestHeader(Oo,Co)}),eo.isUndefined(uo.withCredentials)||(bo.withCredentials=!!uo.withCredentials),vo&&vo!=="json"&&(bo.responseType=uo.responseType),typeof uo.onDownloadProgress=="function"&&bo.addEventListener("progress",uo.onDownloadProgress),typeof uo.onUploadProgress=="function"&&bo.upload&&bo.upload.addEventListener("progress",uo.onUploadProgress),uo.cancelToken&&uo.cancelToken.promise.then(function(Co){bo&&(bo.abort(),ho(Co),bo=null)}),po||(po=null),bo.send(po)})},xhr}var utils$5=utils$9,normalizeHeaderName=normalizeHeaderName$1,enhanceError=enhanceError$1,DEFAULT_CONTENT_TYPE={"Content-Type":"application/x-www-form-urlencoded"};function setContentTypeIfUnset(eo,to){!utils$5.isUndefined(eo)&&utils$5.isUndefined(eo["Content-Type"])&&(eo["Content-Type"]=to)}function getDefaultAdapter(){var eo;return(typeof XMLHttpRequest<"u"||typeof process<"u"&&Object.prototype.toString.call(process)==="[object process]")&&(eo=requireXhr()),eo}function stringifySafely(eo,to,ro){if(utils$5.isString(eo))try{return(to||JSON.parse)(eo),utils$5.trim(eo)}catch(no){if(no.name!=="SyntaxError")throw no}return(ro||JSON.stringify)(eo)}var defaults$5={transitional:{silentJSONParsing:!0,forcedJSONParsing:!0,clarifyTimeoutError:!1},adapter:getDefaultAdapter(),transformRequest:[function(to,ro){return normalizeHeaderName(ro,"Accept"),normalizeHeaderName(ro,"Content-Type"),utils$5.isFormData(to)||utils$5.isArrayBuffer(to)||utils$5.isBuffer(to)||utils$5.isStream(to)||utils$5.isFile(to)||utils$5.isBlob(to)?to:utils$5.isArrayBufferView(to)?to.buffer:utils$5.isURLSearchParams(to)?(setContentTypeIfUnset(ro,"application/x-www-form-urlencoded;charset=utf-8"),to.toString()):utils$5.isObject(to)||ro&&ro["Content-Type"]==="application/json"?(setContentTypeIfUnset(ro,"application/json"),stringifySafely(to)):to}],transformResponse:[function(to){var ro=this.transitional,no=ro&&ro.silentJSONParsing,oo=ro&&ro.forcedJSONParsing,io=!no&&this.responseType==="json";if(io||oo&&utils$5.isString(to)&&to.length)try{return JSON.parse(to)}catch(so){if(io)throw so.name==="SyntaxError"?enhanceError(so,this,"E_JSON_PARSE"):so}return to}],timeout:0,xsrfCookieName:"XSRF-TOKEN",xsrfHeaderName:"X-XSRF-TOKEN",maxContentLength:-1,maxBodyLength:-1,validateStatus:function(to){return to>=200&&to<300}};defaults$5.headers={common:{Accept:"application/json, text/plain, */*"}};utils$5.forEach(["delete","get","head"],function(to){defaults$5.headers[to]={}});utils$5.forEach(["post","put","patch"],function(to){defaults$5.headers[to]=utils$5.merge(DEFAULT_CONTENT_TYPE)});var defaults_1$1=defaults$5,utils$4=utils$9,defaults$4=defaults_1$1,transformData$1=function(to,ro,no){var oo=this||defaults$4;return utils$4.forEach(no,function(so){to=so.call(oo,to,ro)}),to},isCancel$1,hasRequiredIsCancel;function requireIsCancel(){return 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pkg=require$$0,validators$3={};["object","boolean","number","function","string","symbol"].forEach(function(eo,to){validators$3[eo]=function(no){return typeof no===eo||"a"+(to<1?"n ":" ")+eo}});var deprecatedWarnings={},currentVerArr=pkg.version.split(".");function isOlderVersion(eo,to){for(var ro=to?to.split("."):currentVerArr,no=eo.split("."),oo=0;oo<3;oo++){if(ro[oo]>no[oo])return!0;if(ro[oo]<no[oo])return!1}return!1}validators$3.transitional=function(to,ro,no){var oo=ro&&isOlderVersion(ro);function io(so,ao){return"[Axios v"+pkg.version+"] Transitional option '"+so+"'"+ao+(no?". 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eo(to){this.message=to}return eo.prototype.toString=function(){return"Cancel"+(this.message?": "+this.message:"")},eo.prototype.__CANCEL__=!0,Cancel_1=eo,Cancel_1}var CancelToken_1,hasRequiredCancelToken;function requireCancelToken(){if(hasRequiredCancelToken)return CancelToken_1;hasRequiredCancelToken=1;var eo=requireCancel();function to(ro){if(typeof ro!="function")throw new TypeError("executor must be a function.");var no;this.promise=new Promise(function(so){no=so});var oo=this;ro(function(so){oo.reason||(oo.reason=new eo(so),no(oo.reason))})}return to.prototype.throwIfRequested=function(){if(this.reason)throw this.reason},to.source=function(){var no,oo=new to(function(so){no=so});return{token:oo,cancel:no}},CancelToken_1=to,CancelToken_1}var spread$1,hasRequiredSpread;function requireSpread(){return hasRequiredSpread||(hasRequiredSpread=1,spread$1=function(to){return function(no){return to.apply(null,no)}}),spread$1}var isAxiosError,hasRequiredIsAxiosError;function requireIsAxiosError(){return hasRequiredIsAxiosError||(hasRequiredIsAxiosError=1,isAxiosError=function(to){return typeof to=="object"&&to.isAxiosError===!0}),isAxiosError}var utils=utils$9,bind=bind$2,Axios=Axios_1,mergeConfig=mergeConfig$2,defaults$2=defaults_1$1;function createInstance(eo){var to=new Axios(eo),ro=bind(Axios.prototype.request,to);return utils.extend(ro,Axios.prototype,to),utils.extend(ro,to),ro}var axios=createInstance(defaults$2);axios.Axios=Axios;axios.create=function(to){return createInstance(mergeConfig(axios.defaults,to))};axios.Cancel=requireCancel();axios.CancelToken=requireCancelToken();axios.isCancel=requireIsCancel();axios.all=function(to){return Promise.all(to)};axios.spread=requireSpread();axios.isAxiosError=requireIsAxiosError();axios$1.exports=axios;axios$1.exports.default=axios;var rngBrowser={exports:{}},getRandomValues$1=typeof crypto<"u"&&crypto.getRandomValues&&crypto.getRandomValues.bind(crypto)||typeof msCrypto<"u"&&typeof window.msCrypto.getRandomValues=="function"&&msCrypto.getRandomValues.bind(msCrypto);if(getRandomValues$1){var rnds8$1=new Uint8Array(16);rngBrowser.exports=function(){return getRandomValues$1(rnds8$1),rnds8$1}}else{var rnds=new Array(16);rngBrowser.exports=function(){for(var to=0,ro;to<16;to++)to&3||(ro=Math.random()*4294967296),rnds[to]=ro>>>((to&3)<<3)&255;return rnds}}var rngBrowserExports=rngBrowser.exports,byteToHex$1=[];for(var i$5=0;i$5<256;++i$5)byteToHex$1[i$5]=(i$5+256).toString(16).substr(1);function bytesToUuid$3(eo,to){var ro=to||0,no=byteToHex$1;return[no[eo[ro++]],no[eo[ro++]],no[eo[ro++]],no[eo[ro++]],"-",no[eo[ro++]],no[eo[ro++]],"-",no[eo[ro++]],no[eo[ro++]],"-",no[eo[ro++]],no[eo[ro++]],"-",no[eo[ro++]],no[eo[ro++]],no[eo[ro++]],no[eo[ro++]],no[eo[ro++]],no[eo[ro++]]].join("")}var bytesToUuid_1=bytesToUuid$3,rng$2=rngBrowserExports,bytesToUuid$2=bytesToUuid_1,_nodeId,_clockseq,_lastMSecs=0,_lastNSecs=0;function v1$1(eo,to,ro){var no=to&&ro||0,oo=to||[];eo=eo||{};var io=eo.node||_nodeId,so=eo.clockseq!==void 0?eo.clockseq:_clockseq;if(io==null||so==null){var ao=rng$2();io==null&&(io=_nodeId=[ao[0]|1,ao[1],ao[2],ao[3],ao[4],ao[5]]),so==null&&(so=_clockseq=(ao[6]<<8|ao[7])&16383)}var lo=eo.msecs!==void 0?eo.msecs:new Date().getTime(),uo=eo.nsecs!==void 0?eo.nsecs:_lastNSecs+1,co=lo-_lastMSecs+(uo-_lastNSecs)/1e4;if(co<0&&eo.clockseq===void 0&&(so=so+1&16383),(co<0||lo>_lastMSecs)&&eo.nsecs===void 0&&(uo=0),uo>=1e4)throw new Error("uuid.v1(): Can't create more than 10M uuids/sec");_lastMSecs=lo,_lastNSecs=uo,_clockseq=so,lo+=122192928e5;var fo=((lo&268435455)*1e4+uo)%4294967296;oo[no++]=fo>>>24&255,oo[no++]=fo>>>16&255,oo[no++]=fo>>>8&255,oo[no++]=fo&255;var ho=lo/4294967296*1e4&268435455;oo[no++]=ho>>>8&255,oo[no++]=ho&255,oo[no++]=ho>>>24&15|16,oo[no++]=ho>>>16&255,oo[no++]=so>>>8|128,oo[no++]=so&255;for(var po=0;po<6;++po)oo[no+po]=io[po];return to||bytesToUuid$2(oo)}var v1_1=v1$1,rng$1=rngBrowserExports,bytesToUuid$1=bytesToUuid_1;function v4$2(eo,to,ro){var no=to&&ro||0;typeof eo=="string"&&(to=eo==="binary"?new Array(16):null,eo=null),eo=eo||{};var oo=eo.random||(eo.rng||rng$1)();if(oo[6]=oo[6]&15|64,oo[8]=oo[8]&63|128,to)for(var io=0;io<16;++io)to[no+io]=oo[io];return to||bytesToUuid$1(oo)}var v4_1=v4$2,v1=v1_1,v4$1=v4_1,uuid=v4$1;uuid.v1=v1;uuid.v4=v4$1;var uuid_1=uuid;const BASELINE_VARIANT_ID="variant_0",DEFAULT_CHAT_INPUT_NAME="chat_input",DEFAULT_CHAT_HISTORY_NAME="chat_history",DEFAULT_CHAT_OUTPUT_NAME="chat_output";var FlowFeatures=(eo=>(eo.OpenCodeFileInNode="OpenCodeFileInNode",eo.ShowWarningIconOnNode="ShowWarningIconOnNode",eo))(FlowFeatures||{}),ConnectionType=(eo=>(eo.OpenAI="OpenAI",eo.AzureOpenAI="AzureOpenAI",eo.Serp="Serp",eo.Bing="Bing",eo.AzureContentModerator="AzureContentModerator",eo.Custom="Custom",eo.AzureContentSafety="AzureContentSafety",eo.CognitiveSearch="CognitiveSearch",eo.SubstrateLLM="SubstrateLLM",eo.Pinecone="Pinecone",eo.Qdrant="Qdrant",eo.Weaviate="Weaviate",eo.FormRecognizer="FormRecognizer",eo.Serverless="Serverless",eo))(ConnectionType||{}),FlowType=(eo=>(eo.Default="Default",eo.Evaluation="Evaluation",eo.Chat="Chat",eo.Rag="Rag",eo))(FlowType||{}),InputType=(eo=>(eo.default="default",eo.uionly_hidden="uionly_hidden",eo))(InputType||{}),Orientation$1=(eo=>(eo.Horizontal="Horizontal",eo.Vertical="Vertical",eo))(Orientation$1||{}),ToolType=(eo=>(eo.llm="llm",eo.python="python",eo.action="action",eo.prompt="prompt",eo.custom_llm="custom_llm",eo.csharp="csharp",eo.typescript="typescript",eo))(ToolType||{}),ValueType=(eo=>(eo.int="int",eo.double="double",eo.bool="bool",eo.string="string",eo.secret="secret",eo.prompt_template="prompt_template",eo.object="object",eo.list="list",eo.BingConnection="BingConnection",eo.OpenAIConnection="OpenAIConnection",eo.AzureOpenAIConnection="AzureOpenAIConnection",eo.AzureContentModeratorConnection="AzureContentModeratorConnection",eo.CustomConnection="CustomConnection",eo.AzureContentSafetyConnection="AzureContentSafetyConnection",eo.SerpConnection="SerpConnection",eo.CognitiveSearchConnection="CognitiveSearchConnection",eo.SubstrateLLMConnection="SubstrateLLMConnection",eo.PineconeConnection="PineconeConnection",eo.QdrantConnection="QdrantConnection",eo.WeaviateConnection="WeaviateConnection",eo.function_list="function_list",eo.function_str="function_str",eo.FormRecognizerConnection="FormRecognizerConnection",eo.file_path="file_path",eo.image="image",eo.assistant_definition="assistant_definition",eo.ServerlessConnection="ServerlessConnection",eo))(ValueType||{});const FLOW_INPUT_REF_NAME_FLOW="flow",FLOW_INPUT_REF_NAME_INPUT="inputs",FLOW_INPUT_NODE_NAME="inputs",FLOW_OUTPUT_NODE_NAME="outputs",isFlowInput=eo=>[FLOW_INPUT_REF_NAME_FLOW,FLOW_INPUT_REF_NAME_INPUT].includes(eo),SystemColors=["#637CEF","#E61C99","#00A5AF","#9470BD","#689920","#3487C7","#CA5010","#009B51","#B27C00","#B146C2","#4F6BED","#EE5FB7","#008B94","#D77440","#BA58C9","#3A96DD","#E3008C","#57811B","#C36BD1","#D06228","#6E0811","#C50F1F","#F7630C","#107C10","#094509"];var ValidationErrorType=(eo=>(eo.CircularDependency="CircularDependency",eo.InputDependencyNotFound="InputDependencyNotFound",eo.InputGenerateError="InputGenerateError",eo.InputSelfReference="InputSelfReference",eo.InputEmpty="InputEmpty",eo.InputInvalidType="InputInvalidType",eo.NodeConfigInvalid="NodeConfigInvalid",eo.UnparsedCode="UnparsedCode",eo.EmptyCode="EmptyCode",eo.MissingTool="MissingTool",eo.AutoParseInputError="AutoParseInputError",eo.RuntimeNameEmpty="RuntimeNameEmpty",eo.RuntimeStatusInvalid="RuntimeStatusInvalid",eo))(ValidationErrorType||{}),ChatMessageFrom=(eo=>(eo.System="system",eo.ErrorHandler="error",eo.Chatbot="chatbot",eo.User="user",eo))(ChatMessageFrom||{}),ChatMessageType$1=(eo=>(eo.Text="text",eo.Typing="typing",eo.SessionSplit="session-split",eo))(ChatMessageType$1||{});const convertToBool=eo=>eo==="true"||eo==="True"||eo===!0,basicValueTypeDetector=eo=>Array.isArray(eo)?ValueType.list:typeof eo=="boolean"?ValueType.bool:typeof eo=="string"?ValueType.string:typeof eo=="number"?Number.isInteger(eo)?ValueType.int:ValueType.double:ValueType.object;function valueStringify(eo){if(eo==null)return;switch(basicValueTypeDetector(eo)){case ValueType.string:return eo;case ValueType.int:case ValueType.double:return eo.toString();case ValueType.bool:return eo?"True":"False";case ValueType.object:case ValueType.list:return JSON.stringify(eo);default:return String(eo)}}var lodash$1={exports:{}};/**
+ * @license
+ * Lodash <https://lodash.com/>
+ * Copyright OpenJS Foundation and other contributors <https://openjsf.org/>
+ * Released under MIT license <https://lodash.com/license>
+ * Based on Underscore.js 1.8.3 <http://underscorejs.org/LICENSE>
+ * Copyright Jeremy Ashkenas, DocumentCloud and Investigative Reporters & Editors
+ */lodash$1.exports;(function(eo,to){(function(){var ro,no="4.17.21",oo=200,io="Unsupported core-js use. 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+Papa Parse
+v5.4.1
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_baseUnary=baseUnary$4,_nodeUtil={exports:{}};_nodeUtil.exports;(function(eo,to){var ro=_freeGlobal,no=to&&!to.nodeType&&to,oo=no&&!0&&eo&&!eo.nodeType&&eo,io=oo&&oo.exports===no,so=io&&ro.process,ao=function(){try{var lo=oo&&oo.require&&oo.require("util").types;return lo||so&&so.binding&&so.binding("util")}catch{}}();eo.exports=ao})(_nodeUtil,_nodeUtil.exports);var _nodeUtilExports=_nodeUtil.exports,baseIsTypedArray=_baseIsTypedArray,baseUnary$3=_baseUnary,nodeUtil$2=_nodeUtilExports,nodeIsTypedArray=nodeUtil$2&&nodeUtil$2.isTypedArray,isTypedArray$2=nodeIsTypedArray?baseUnary$3(nodeIsTypedArray):baseIsTypedArray,isTypedArray_1=isTypedArray$2,baseTimes=_baseTimes,isArguments$2=isArguments_1,isArray$d=isArray_1,isBuffer$2=isBufferExports,isIndex$2=_isIndex,isTypedArray$1=isTypedArray_1,objectProto$8=Object.prototype,hasOwnProperty$8=objectProto$8.hasOwnProperty;function arrayLikeKeys$2(eo,to){var 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_copyArray=copyArray$1;function arrayFilter$1(eo,to){for(var ro=-1,no=eo==null?0:eo.length,oo=0,io=[];++ro<no;){var so=eo[ro];to(so,ro,eo)&&(io[oo++]=so)}return io}var _arrayFilter=arrayFilter$1;function stubArray$2(){return[]}var stubArray_1=stubArray$2,arrayFilter=_arrayFilter,stubArray$1=stubArray_1,objectProto$4=Object.prototype,propertyIsEnumerable=objectProto$4.propertyIsEnumerable,nativeGetSymbols$1=Object.getOwnPropertySymbols,getSymbols$3=nativeGetSymbols$1?function(eo){return eo==null?[]:(eo=Object(eo),arrayFilter(nativeGetSymbols$1(eo),function(to){return propertyIsEnumerable.call(eo,to)}))}:stubArray$1,_getSymbols=getSymbols$3,copyObject$1=_copyObject,getSymbols$2=_getSymbols;function copySymbols$1(eo,to){return copyObject$1(eo,getSymbols$2(eo),to)}var _copySymbols=copySymbols$1;function arrayPush$4(eo,to){for(var ro=-1,no=to.length,oo=eo.length;++ro<no;)eo[oo+ro]=to[ro];return eo}var _arrayPush=arrayPush$4,overArg=_overArg,getPrototype$3=overArg(Object.getPrototypeOf,Object),_getPrototype=getPrototype$3,arrayPush$3=_arrayPush,getPrototype$2=_getPrototype,getSymbols$1=_getSymbols,stubArray=stubArray_1,nativeGetSymbols=Object.getOwnPropertySymbols,getSymbolsIn$2=nativeGetSymbols?function(eo){for(var to=[];eo;)arrayPush$3(to,getSymbols$1(eo)),eo=getPrototype$2(eo);return to}:stubArray,_getSymbolsIn=getSymbolsIn$2,copyObject=_copyObject,getSymbolsIn$1=_getSymbolsIn;function copySymbolsIn$1(eo,to){return copyObject(eo,getSymbolsIn$1(eo),to)}var _copySymbolsIn=copySymbolsIn$1,arrayPush$2=_arrayPush,isArray$c=isArray_1;function baseGetAllKeys$2(eo,to,ro){var no=to(eo);return isArray$c(eo)?no:arrayPush$2(no,ro(eo))}var _baseGetAllKeys=baseGetAllKeys$2,baseGetAllKeys$1=_baseGetAllKeys,getSymbols=_getSymbols,keys$5=keys_1;function getAllKeys$2(eo){return baseGetAllKeys$1(eo,keys$5,getSymbols)}var _getAllKeys=getAllKeys$2,baseGetAllKeys=_baseGetAllKeys,getSymbolsIn=_getSymbolsIn,keysIn$1=keysIn_1;function getAllKeysIn$1(eo){return baseGetAllKeys(eo,keysIn$1,getSymbolsIn)}var _getAllKeysIn=getAllKeysIn$1,getNative$3=_getNative,root$7=_root$1,DataView$1=getNative$3(root$7,"DataView"),_DataView=DataView$1,getNative$2=_getNative,root$6=_root$1,Promise$2=getNative$2(root$6,"Promise"),_Promise=Promise$2,getNative$1=_getNative,root$5=_root$1,Set$4=getNative$1(root$5,"Set"),_Set=Set$4,getNative=_getNative,root$4=_root$1,WeakMap$2=getNative(root$4,"WeakMap"),_WeakMap=WeakMap$2,DataView=_DataView,Map$2=_Map,Promise$1=_Promise,Set$3=_Set,WeakMap$1=_WeakMap,baseGetTag$3=_baseGetTag,toSource=_toSource,mapTag$4="[object Map]",objectTag$3="[object Object]",promiseTag="[object Promise]",setTag$4="[object Set]",weakMapTag$1="[object WeakMap]",dataViewTag$3="[object 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eo[0]=="string"&&hasOwnProperty$5.call(eo,"index")&&(ro.index=eo.index,ro.input=eo.input),ro}var _initCloneArray=initCloneArray$1,root$3=_root$1,Uint8Array$3=root$3.Uint8Array,_Uint8Array=Uint8Array$3,Uint8Array$2=_Uint8Array;function cloneArrayBuffer$3(eo){var to=new eo.constructor(eo.byteLength);return new Uint8Array$2(to).set(new Uint8Array$2(eo)),to}var _cloneArrayBuffer=cloneArrayBuffer$3,cloneArrayBuffer$2=_cloneArrayBuffer;function cloneDataView$1(eo,to){var ro=to?cloneArrayBuffer$2(eo.buffer):eo.buffer;return new eo.constructor(ro,eo.byteOffset,eo.byteLength)}var _cloneDataView=cloneDataView$1,reFlags=/\w*$/;function cloneRegExp$1(eo){var to=new eo.constructor(eo.source,reFlags.exec(eo));return to.lastIndex=eo.lastIndex,to}var _cloneRegExp=cloneRegExp$1,Symbol$4=_Symbol,symbolProto$2=Symbol$4?Symbol$4.prototype:void 0,symbolValueOf$1=symbolProto$2?symbolProto$2.valueOf:void 0;function cloneSymbol$1(eo){return symbolValueOf$1?Object(symbolValueOf$1.call(eo)):{}}var _cloneSymbol=cloneSymbol$1,cloneArrayBuffer$1=_cloneArrayBuffer;function cloneTypedArray$1(eo,to){var ro=to?cloneArrayBuffer$1(eo.buffer):eo.buffer;return new eo.constructor(ro,eo.byteOffset,eo.length)}var _cloneTypedArray=cloneTypedArray$1,cloneArrayBuffer=_cloneArrayBuffer,cloneDataView=_cloneDataView,cloneRegExp=_cloneRegExp,cloneSymbol=_cloneSymbol,cloneTypedArray=_cloneTypedArray,boolTag$2="[object Boolean]",dateTag$2="[object Date]",mapTag$3="[object Map]",numberTag$2="[object Number]",regexpTag$2="[object RegExp]",setTag$3="[object Set]",stringTag$3="[object String]",symbolTag$3="[object Symbol]",arrayBufferTag$2="[object ArrayBuffer]",dataViewTag$2="[object DataView]",float32Tag$1="[object Float32Array]",float64Tag$1="[object Float64Array]",int8Tag$1="[object Int8Array]",int16Tag$1="[object Int16Array]",int32Tag$1="[object Int32Array]",uint8Tag$1="[object Uint8Array]",uint8ClampedTag$1="[object Uint8ClampedArray]",uint16Tag$1="[object Uint16Array]",uint32Tag$1="[object Uint32Array]";function initCloneByTag$1(eo,to,ro){var no=eo.constructor;switch(to){case arrayBufferTag$2:return cloneArrayBuffer(eo);case boolTag$2:case dateTag$2:return new no(+eo);case dataViewTag$2:return cloneDataView(eo,ro);case float32Tag$1:case float64Tag$1:case int8Tag$1:case int16Tag$1:case int32Tag$1:case uint8Tag$1:case uint8ClampedTag$1:case uint16Tag$1:case uint32Tag$1:return cloneTypedArray(eo,ro);case mapTag$3:return new no;case numberTag$2:case stringTag$3:return new no(eo);case regexpTag$2:return cloneRegExp(eo);case setTag$3:return new no;case symbolTag$3:return cloneSymbol(eo)}}var _initCloneByTag=initCloneByTag$1,isObject$a=isObject_1,objectCreate=Object.create,baseCreate$1=function(){function eo(){}return function(to){if(!isObject$a(to))return{};if(objectCreate)return objectCreate(to);eo.prototype=to;var ro=new eo;return eo.prototype=void 0,ro}}(),_baseCreate=baseCreate$1,baseCreate=_baseCreate,getPrototype$1=_getPrototype,isPrototype=_isPrototype;function initCloneObject$1(eo){return typeof eo.constructor=="function"&&!isPrototype(eo)?baseCreate(getPrototype$1(eo)):{}}var _initCloneObject=initCloneObject$1,getTag$3=_getTag,isObjectLike$5=isObjectLike_1,mapTag$2="[object Map]";function baseIsMap$1(eo){return isObjectLike$5(eo)&&getTag$3(eo)==mapTag$2}var _baseIsMap=baseIsMap$1,baseIsMap=_baseIsMap,baseUnary$2=_baseUnary,nodeUtil$1=_nodeUtilExports,nodeIsMap=nodeUtil$1&&nodeUtil$1.isMap,isMap$2=nodeIsMap?baseUnary$2(nodeIsMap):baseIsMap,isMap_1=isMap$2,getTag$2=_getTag,isObjectLike$4=isObjectLike_1,setTag$2="[object Set]";function baseIsSet$1(eo){return isObjectLike$4(eo)&&getTag$2(eo)==setTag$2}var _baseIsSet=baseIsSet$1,baseIsSet=_baseIsSet,baseUnary$1=_baseUnary,nodeUtil=_nodeUtilExports,nodeIsSet=nodeUtil&&nodeUtil.isSet,isSet$2=nodeIsSet?baseUnary$1(nodeIsSet):baseIsSet,isSet_1=isSet$2,Stack$5=_Stack,arrayEach=_arrayEach,assignValue=_assignValue,baseAssign=_baseAssign,baseAssignIn=_baseAssignIn,cloneBuffer=_cloneBufferExports,copyArray=_copyArray,copySymbols=_copySymbols,copySymbolsIn=_copySymbolsIn,getAllKeys$1=_getAllKeys,getAllKeysIn=_getAllKeysIn,getTag$1=_getTag,initCloneArray=_initCloneArray,initCloneByTag=_initCloneByTag,initCloneObject=_initCloneObject,isArray$b=isArray_1,isBuffer$1=isBufferExports,isMap$1=isMap_1,isObject$9=isObject_1,isSet$1=isSet_1,keys$4=keys_1,keysIn=keysIn_1,CLONE_DEEP_FLAG=1,CLONE_FLAT_FLAG=2,CLONE_SYMBOLS_FLAG=4,argsTag$1="[object Arguments]",arrayTag$1="[object Array]",boolTag$1="[object Boolean]",dateTag$1="[object Date]",errorTag$1="[object Error]",funcTag="[object Function]",genTag="[object GeneratorFunction]",mapTag$1="[object 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Uint32Array]",cloneableTags={};cloneableTags[argsTag$1]=cloneableTags[arrayTag$1]=cloneableTags[arrayBufferTag$1]=cloneableTags[dataViewTag$1]=cloneableTags[boolTag$1]=cloneableTags[dateTag$1]=cloneableTags[float32Tag]=cloneableTags[float64Tag]=cloneableTags[int8Tag]=cloneableTags[int16Tag]=cloneableTags[int32Tag]=cloneableTags[mapTag$1]=cloneableTags[numberTag$1]=cloneableTags[objectTag$2]=cloneableTags[regexpTag$1]=cloneableTags[setTag$1]=cloneableTags[stringTag$2]=cloneableTags[symbolTag$2]=cloneableTags[uint8Tag]=cloneableTags[uint8ClampedTag]=cloneableTags[uint16Tag]=cloneableTags[uint32Tag]=!0;cloneableTags[errorTag$1]=cloneableTags[funcTag]=cloneableTags[weakMapTag]=!1;function baseClone(eo,to,ro,no,oo,io){var so,ao=to&CLONE_DEEP_FLAG,lo=to&CLONE_FLAT_FLAG,uo=to&CLONE_SYMBOLS_FLAG;if(ro&&(so=oo?ro(eo,no,oo,io):ro(eo)),so!==void 0)return so;if(!isObject$9(eo))return eo;var co=isArray$b(eo);if(co){if(so=initCloneArray(eo),!ao)return copyArray(eo,so)}else{var fo=getTag$1(eo),ho=fo==funcTag||fo==genTag;if(isBuffer$1(eo))return cloneBuffer(eo,ao);if(fo==objectTag$2||fo==argsTag$1||ho&&!oo){if(so=lo||ho?{}:initCloneObject(eo),!ao)return lo?copySymbolsIn(eo,baseAssignIn(so,eo)):copySymbols(eo,baseAssign(so,eo))}else{if(!cloneableTags[fo])return oo?eo:{};so=initCloneByTag(eo,fo,ao)}}io||(io=new Stack$5);var po=io.get(eo);if(po)return po;io.set(eo,so),isSet$1(eo)?eo.forEach(function(bo){so.add(baseClone(bo,to,ro,bo,eo,io))}):isMap$1(eo)&&eo.forEach(function(bo,xo){so.set(xo,baseClone(bo,to,ro,xo,eo,io))});var go=uo?lo?getAllKeysIn:getAllKeys$1:lo?keysIn:keys$4,vo=co?void 0:go(eo);return arrayEach(vo||eo,function(bo,xo){vo&&(xo=bo,bo=eo[xo]),assignValue(so,xo,baseClone(bo,to,ro,xo,eo,io))}),so}var _baseClone=baseClone,clone_1,hasRequiredClone;function requireClone(){if(hasRequiredClone)return clone_1;hasRequiredClone=1;var eo=_baseClone,to=4;function ro(no){return eo(no,to)}return clone_1=ro,clone_1}function constant$1(eo){return function(){return eo}}var constant_1=constant$1;function createBaseFor$1(eo){return function(to,ro,no){for(var oo=-1,io=Object(to),so=no(to),ao=so.length;ao--;){var lo=so[eo?ao:++oo];if(ro(io[lo],lo,io)===!1)break}return to}}var _createBaseFor=createBaseFor$1,createBaseFor=_createBaseFor,baseFor$1=createBaseFor(),_baseFor=baseFor$1,baseFor=_baseFor,keys$3=keys_1;function baseForOwn$2(eo,to){return eo&&baseFor(eo,to,keys$3)}var _baseForOwn=baseForOwn$2,isArrayLike$5=isArrayLike_1;function createBaseEach$1(eo,to){return function(ro,no){if(ro==null)return ro;if(!isArrayLike$5(ro))return eo(ro,no);for(var oo=ro.length,io=to?oo:-1,so=Object(ro);(to?io--:++io<oo)&&no(so[io],io,so)!==!1;);return ro}}var _createBaseEach=createBaseEach$1,baseForOwn$1=_baseForOwn,createBaseEach=_createBaseEach,baseEach$1=createBaseEach(baseForOwn$1),_baseEach=baseEach$1;function identity$8(eo){return eo}var identity_1=identity$8,_castFunction,hasRequired_castFunction;function 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this.__data__.set(eo,HASH_UNDEFINED),this}var _setCacheAdd=setCacheAdd$1;function setCacheHas$1(eo){return this.__data__.has(eo)}var _setCacheHas=setCacheHas$1,MapCache$1=_MapCache,setCacheAdd=_setCacheAdd,setCacheHas=_setCacheHas;function SetCache$2(eo){var to=-1,ro=eo==null?0:eo.length;for(this.__data__=new MapCache$1;++to<ro;)this.add(eo[to])}SetCache$2.prototype.add=SetCache$2.prototype.push=setCacheAdd;SetCache$2.prototype.has=setCacheHas;var _SetCache=SetCache$2;function arraySome$1(eo,to){for(var ro=-1,no=eo==null?0:eo.length;++ro<no;)if(to(eo[ro],ro,eo))return!0;return!1}var _arraySome=arraySome$1;function cacheHas$2(eo,to){return eo.has(to)}var _cacheHas=cacheHas$2,SetCache$1=_SetCache,arraySome=_arraySome,cacheHas$1=_cacheHas,COMPARE_PARTIAL_FLAG$5=1,COMPARE_UNORDERED_FLAG$3=2;function equalArrays$2(eo,to,ro,no,oo,io){var so=ro&COMPARE_PARTIAL_FLAG$5,ao=eo.length,lo=to.length;if(ao!=lo&&!(so&&lo>ao))return!1;var uo=io.get(eo),co=io.get(to);if(uo&&co)return uo==to&&co==eo;var fo=-1,ho=!0,po=ro&COMPARE_UNORDERED_FLAG$3?new SetCache$1:void 0;for(io.set(eo,to),io.set(to,eo);++fo<ao;){var go=eo[fo],vo=to[fo];if(no)var bo=so?no(vo,go,fo,to,eo,io):no(go,vo,fo,eo,to,io);if(bo!==void 0){if(bo)continue;ho=!1;break}if(po){if(!arraySome(to,function(xo,_o){if(!cacheHas$1(po,_o)&&(go===xo||oo(go,xo,ro,no,io)))return po.push(_o)})){ho=!1;break}}else if(!(go===vo||oo(go,vo,ro,no,io))){ho=!1;break}}return io.delete(eo),io.delete(to),ho}var _equalArrays=equalArrays$2;function mapToArray$1(eo){var to=-1,ro=Array(eo.size);return eo.forEach(function(no,oo){ro[++to]=[oo,no]}),ro}var _mapToArray=mapToArray$1;function setToArray$3(eo){var to=-1,ro=Array(eo.size);return eo.forEach(function(no){ro[++to]=no}),ro}var _setToArray=setToArray$3,Symbol$3=_Symbol,Uint8Array$1=_Uint8Array,eq$1=eq_1,equalArrays$1=_equalArrays,mapToArray=_mapToArray,setToArray$2=_setToArray,COMPARE_PARTIAL_FLAG$4=1,COMPARE_UNORDERED_FLAG$2=2,boolTag="[object Boolean]",dateTag="[object 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So=eo.constructor,To=to.constructor;So!=To&&"constructor"in eo&&"constructor"in to&&!(typeof So=="function"&&So instanceof So&&typeof To=="function"&&To instanceof To)&&(vo=!1)}return io.delete(eo),io.delete(to),vo}var _equalObjects=equalObjects$1,Stack$4=_Stack,equalArrays=_equalArrays,equalByTag=_equalByTag,equalObjects=_equalObjects,getTag=_getTag,isArray$a=isArray_1,isBuffer=isBufferExports,isTypedArray=isTypedArray_1,COMPARE_PARTIAL_FLAG$2=1,argsTag="[object Arguments]",arrayTag="[object Array]",objectTag$1="[object Object]",objectProto$1=Object.prototype,hasOwnProperty$3=objectProto$1.hasOwnProperty;function baseIsEqualDeep$1(eo,to,ro,no,oo,io){var so=isArray$a(eo),ao=isArray$a(to),lo=so?arrayTag:getTag(eo),uo=ao?arrayTag:getTag(to);lo=lo==argsTag?objectTag$1:lo,uo=uo==argsTag?objectTag$1:uo;var co=lo==objectTag$1,fo=uo==objectTag$1,ho=lo==uo;if(ho&&isBuffer(eo)){if(!isBuffer(to))return!1;so=!0,co=!1}if(ho&&!co)return io||(io=new 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_toKey=toKey$4,castPath$1=_castPath,toKey$3=_toKey;function baseGet$3(eo,to){to=castPath$1(to,eo);for(var ro=0,no=to.length;eo!=null&&ro<no;)eo=eo[toKey$3(to[ro++])];return ro&&ro==no?eo:void 0}var _baseGet=baseGet$3,baseGet$2=_baseGet;function get$2(eo,to,ro){var no=eo==null?void 0:baseGet$2(eo,to);return no===void 0?ro:no}var get_1=get$2;function baseHasIn$1(eo,to){return eo!=null&&to in Object(eo)}var _baseHasIn=baseHasIn$1,castPath=_castPath,isArguments$1=isArguments_1,isArray$6=isArray_1,isIndex$1=_isIndex,isLength=isLength_1,toKey$2=_toKey;function hasPath$1(eo,to,ro){to=castPath(to,eo);for(var no=-1,oo=to.length,io=!1;++no<oo;){var so=toKey$2(to[no]);if(!(io=eo!=null&&ro(eo,so)))break;eo=eo[so]}return io||++no!=oo?io:(oo=eo==null?0:eo.length,!!oo&&isLength(oo)&&isIndex$1(so,oo)&&(isArray$6(eo)||isArguments$1(eo)))}var _hasPath=hasPath$1,baseHasIn=_baseHasIn,hasPath=_hasPath;function hasIn$3(eo,to){return eo!=null&&hasPath(eo,to,baseHasIn)}var hasIn_1=hasIn$3,baseIsEqual=_baseIsEqual,get$1=get_1,hasIn$2=hasIn_1,isKey$1=_isKey,isStrictComparable=_isStrictComparable,matchesStrictComparable=_matchesStrictComparable,toKey$1=_toKey,COMPARE_PARTIAL_FLAG=1,COMPARE_UNORDERED_FLAG=2;function baseMatchesProperty$1(eo,to){return isKey$1(eo)&&isStrictComparable(to)?matchesStrictComparable(toKey$1(eo),to):function(ro){var no=get$1(ro,eo);return no===void 0&&no===to?hasIn$2(ro,eo):baseIsEqual(to,no,COMPARE_PARTIAL_FLAG|COMPARE_UNORDERED_FLAG)}}var _baseMatchesProperty=baseMatchesProperty$1;function baseProperty$1(eo){return function(to){return to==null?void 0:to[eo]}}var _baseProperty=baseProperty$1,baseGet$1=_baseGet;function basePropertyDeep$1(eo){return function(to){return baseGet$1(to,eo)}}var _basePropertyDeep=basePropertyDeep$1,baseProperty=_baseProperty,basePropertyDeep=_basePropertyDeep,isKey=_isKey,toKey=_toKey;function property$1(eo){return isKey(eo)?baseProperty(toKey(eo)):basePropertyDeep(eo)}var 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ho=this;eo.each(this._nodes,function(vo,bo){co(bo)&&fo.setNode(bo,vo)}),eo.each(this._edgeObjs,function(vo){fo.hasNode(vo.v)&&fo.hasNode(vo.w)&&fo.setEdge(vo,ho.edge(vo))});var po={};function go(vo){var bo=ho.parent(vo);return bo===void 0||fo.hasNode(bo)?(po[vo]=bo,bo):bo in po?po[bo]:go(bo)}return this._isCompound&&eo.each(fo.nodes(),function(vo){fo.setParent(vo,go(vo))}),fo},oo.prototype.setDefaultEdgeLabel=function(co){return eo.isFunction(co)||(co=eo.constant(co)),this._defaultEdgeLabelFn=co,this},oo.prototype.edgeCount=function(){return this._edgeCount},oo.prototype.edges=function(){return eo.values(this._edgeObjs)},oo.prototype.setPath=function(co,fo){var ho=this,po=arguments;return eo.reduce(co,function(go,vo){return po.length>1?ho.setEdge(go,vo,fo):ho.setEdge(go,vo),vo}),this},oo.prototype.setEdge=function(){var co,fo,ho,po,go=!1,vo=arguments[0];typeof vo=="object"&&vo!==null&&"v"in vo?(co=vo.v,fo=vo.w,ho=vo.name,arguments.length===2&&(po=arguments[1],go=!0)):(co=vo,fo=arguments[1],ho=arguments[3],arguments.length>2&&(po=arguments[2],go=!0)),co=""+co,fo=""+fo,eo.isUndefined(ho)||(ho=""+ho);var bo=ao(this._isDirected,co,fo,ho);if(eo.has(this._edgeLabels,bo))return go&&(this._edgeLabels[bo]=po),this;if(!eo.isUndefined(ho)&&!this._isMultigraph)throw new Error("Cannot set a named edge when isMultigraph = false");this.setNode(co),this.setNode(fo),this._edgeLabels[bo]=go?po:this._defaultEdgeLabelFn(co,fo,ho);var xo=lo(this._isDirected,co,fo,ho);return co=xo.v,fo=xo.w,Object.freeze(xo),this._edgeObjs[bo]=xo,io(this._preds[fo],co),io(this._sucs[co],fo),this._in[fo][bo]=xo,this._out[co][bo]=xo,this._edgeCount++,this},oo.prototype.edge=function(co,fo,ho){var po=arguments.length===1?uo(this._isDirected,arguments[0]):ao(this._isDirected,co,fo,ho);return this._edgeLabels[po]},oo.prototype.hasEdge=function(co,fo,ho){var po=arguments.length===1?uo(this._isDirected,arguments[0]):ao(this._isDirected,co,fo,ho);return eo.has(this._edgeLabels,po)},oo.prototype.removeEdge=function(co,fo,ho){var po=arguments.length===1?uo(this._isDirected,arguments[0]):ao(this._isDirected,co,fo,ho),go=this._edgeObjs[po];return go&&(co=go.v,fo=go.w,delete this._edgeLabels[po],delete this._edgeObjs[po],so(this._preds[fo],co),so(this._sucs[co],fo),delete this._in[fo][po],delete this._out[co][po],this._edgeCount--),this},oo.prototype.inEdges=function(co,fo){var ho=this._in[co];if(ho){var po=eo.values(ho);return fo?eo.filter(po,function(go){return go.v===fo}):po}},oo.prototype.outEdges=function(co,fo){var ho=this._out[co];if(ho){var po=eo.values(ho);return fo?eo.filter(po,function(go){return go.w===fo}):po}},oo.prototype.nodeEdges=function(co,fo){var ho=this.inEdges(co,fo);if(ho)return ho.concat(this.outEdges(co,fo))};function io(co,fo){co[fo]?co[fo]++:co[fo]=1}function so(co,fo){--co[fo]||delete co[fo]}function ao(co,fo,ho,po){var go=""+fo,vo=""+ho;if(!co&&go>vo){var bo=go;go=vo,vo=bo}return go+no+vo+no+(eo.isUndefined(po)?to:po)}function lo(co,fo,ho,po){var go=""+fo,vo=""+ho;if(!co&&go>vo){var bo=go;go=vo,vo=bo}var xo={v:go,w:vo};return po&&(xo.name=po),xo}function uo(co,fo){return ao(co,fo.v,fo.w,fo.name)}return graph}var version$1,hasRequiredVersion;function requireVersion(){return hasRequiredVersion||(hasRequiredVersion=1,version$1="2.1.8"),version$1}var lib,hasRequiredLib;function requireLib(){return hasRequiredLib||(hasRequiredLib=1,lib={Graph:requireGraph(),version:requireVersion()}),lib}var json,hasRequiredJson;function requireJson(){if(hasRequiredJson)return json;hasRequiredJson=1;var eo=requireLodash(),to=requireGraph();json={write:ro,read:io};function ro(so){var ao={options:{directed:so.isDirected(),multigraph:so.isMultigraph(),compound:so.isCompound()},nodes:no(so),edges:oo(so)};return eo.isUndefined(so.graph())||(ao.value=eo.clone(so.graph())),ao}function no(so){return eo.map(so.nodes(),function(ao){var lo=so.node(ao),uo=so.parent(ao),co={v:ao};return eo.isUndefined(lo)||(co.value=lo),eo.isUndefined(uo)||(co.parent=uo),co})}function oo(so){return eo.map(so.edges(),function(ao){var lo=so.edge(ao),uo={v:ao.v,w:ao.w};return eo.isUndefined(ao.name)||(uo.name=ao.name),eo.isUndefined(lo)||(uo.value=lo),uo})}function io(so){var ao=new to(so.options).setGraph(so.value);return eo.each(so.nodes,function(lo){ao.setNode(lo.v,lo.value),lo.parent&&ao.setParent(lo.v,lo.parent)}),eo.each(so.edges,function(lo){ao.setEdge({v:lo.v,w:lo.w,name:lo.name},lo.value)}),ao}return json}var components_1,hasRequiredComponents;function requireComponents(){if(hasRequiredComponents)return components_1;hasRequiredComponents=1;var eo=requireLodash();components_1=to;function to(ro){var no={},oo=[],io;function so(ao){eo.has(no,ao)||(no[ao]=!0,io.push(ao),eo.each(ro.successors(ao),so),eo.each(ro.predecessors(ao),so))}return eo.each(ro.nodes(),function(ao){io=[],so(ao),io.length&&oo.push(io)}),oo}return components_1}var priorityQueue,hasRequiredPriorityQueue;function requirePriorityQueue(){if(hasRequiredPriorityQueue)return priorityQueue;hasRequiredPriorityQueue=1;var eo=requireLodash();priorityQueue=to;function to(){this._arr=[],this._keyIndices={}}return to.prototype.size=function(){return this._arr.length},to.prototype.keys=function(){return this._arr.map(function(ro){return ro.key})},to.prototype.has=function(ro){return eo.has(this._keyIndices,ro)},to.prototype.priority=function(ro){var no=this._keyIndices[ro];if(no!==void 0)return this._arr[no].priority},to.prototype.min=function(){if(this.size()===0)throw new Error("Queue underflow");return this._arr[0].key},to.prototype.add=function(ro,no){var oo=this._keyIndices;if(ro=String(ro),!eo.has(oo,ro)){var io=this._arr,so=io.length;return oo[ro]=so,io.push({key:ro,priority:no}),this._decrease(so),!0}return!1},to.prototype.removeMin=function(){this._swap(0,this._arr.length-1);var ro=this._arr.pop();return delete this._keyIndices[ro.key],this._heapify(0),ro.key},to.prototype.decrease=function(ro,no){var oo=this._keyIndices[ro];if(no>this._arr[oo].priority)throw new Error("New priority is greater than current priority. Key: "+ro+" Old: "+this._arr[oo].priority+" New: "+no);this._arr[oo].priority=no,this._decrease(oo)},to.prototype._heapify=function(ro){var no=this._arr,oo=2*ro,io=oo+1,so=ro;oo<no.length&&(so=no[oo].priority<no[so].priority?oo:so,io<no.length&&(so=no[io].priority<no[so].priority?io:so),so!==ro&&(this._swap(ro,so),this._heapify(so)))},to.prototype._decrease=function(ro){for(var no=this._arr,oo=no[ro].priority,io;ro!==0&&(io=ro>>1,!(no[io].priority<oo));)this._swap(ro,io),ro=io},to.prototype._swap=function(ro,no){var oo=this._arr,io=this._keyIndices,so=oo[ro],ao=oo[no];oo[ro]=ao,oo[no]=so,io[ao.key]=ro,io[so.key]=no},priorityQueue}var dijkstra_1,hasRequiredDijkstra;function requireDijkstra(){if(hasRequiredDijkstra)return dijkstra_1;hasRequiredDijkstra=1;var eo=requireLodash(),to=requirePriorityQueue();dijkstra_1=no;var ro=eo.constant(1);function no(io,so,ao,lo){return oo(io,String(so),ao||ro,lo||function(uo){return io.outEdges(uo)})}function oo(io,so,ao,lo){var uo={},co=new to,fo,ho,po=function(go){var vo=go.v!==fo?go.v:go.w,bo=uo[vo],xo=ao(go),_o=ho.distance+xo;if(xo<0)throw new Error("dijkstra does not allow negative edge weights. Bad edge: "+go+" Weight: "+xo);_o<bo.distance&&(bo.distance=_o,bo.predecessor=fo,co.decrease(vo,_o))};for(io.nodes().forEach(function(go){var vo=go===so?0:Number.POSITIVE_INFINITY;uo[go]={distance:vo},co.add(go,vo)});co.size()>0&&(fo=co.removeMin(),ho=uo[fo],ho.distance!==Number.POSITIVE_INFINITY);)lo(fo).forEach(po);return uo}return dijkstra_1}var dijkstraAll_1,hasRequiredDijkstraAll;function requireDijkstraAll(){if(hasRequiredDijkstraAll)return dijkstraAll_1;hasRequiredDijkstraAll=1;var eo=requireDijkstra(),to=requireLodash();dijkstraAll_1=ro;function ro(no,oo,io){return to.transform(no.nodes(),function(so,ao){so[ao]=eo(no,ao,oo,io)},{})}return dijkstraAll_1}var tarjan_1,hasRequiredTarjan;function requireTarjan(){if(hasRequiredTarjan)return tarjan_1;hasRequiredTarjan=1;var eo=requireLodash();tarjan_1=to;function to(ro){var no=0,oo=[],io={},so=[];function ao(lo){var uo=io[lo]={onStack:!0,lowlink:no,index:no++};if(oo.push(lo),ro.successors(lo).forEach(function(ho){eo.has(io,ho)?io[ho].onStack&&(uo.lowlink=Math.min(uo.lowlink,io[ho].index)):(ao(ho),uo.lowlink=Math.min(uo.lowlink,io[ho].lowlink))}),uo.lowlink===uo.index){var co=[],fo;do fo=oo.pop(),io[fo].onStack=!1,co.push(fo);while(lo!==fo);so.push(co)}}return ro.nodes().forEach(function(lo){eo.has(io,lo)||ao(lo)}),so}return tarjan_1}var findCycles_1,hasRequiredFindCycles;function requireFindCycles(){if(hasRequiredFindCycles)return findCycles_1;hasRequiredFindCycles=1;var eo=requireLodash(),to=requireTarjan();findCycles_1=ro;function ro(no){return eo.filter(to(no),function(oo){return oo.length>1||oo.length===1&&no.hasEdge(oo[0],oo[0])})}return findCycles_1}var floydWarshall_1,hasRequiredFloydWarshall;function requireFloydWarshall(){if(hasRequiredFloydWarshall)return floydWarshall_1;hasRequiredFloydWarshall=1;var eo=requireLodash();floydWarshall_1=ro;var to=eo.constant(1);function ro(oo,io,so){return no(oo,io||to,so||function(ao){return oo.outEdges(ao)})}function no(oo,io,so){var ao={},lo=oo.nodes();return lo.forEach(function(uo){ao[uo]={},ao[uo][uo]={distance:0},lo.forEach(function(co){uo!==co&&(ao[uo][co]={distance:Number.POSITIVE_INFINITY})}),so(uo).forEach(function(co){var fo=co.v===uo?co.w:co.v,ho=io(co);ao[uo][fo]={distance:ho,predecessor:uo}})}),lo.forEach(function(uo){var co=ao[uo];lo.forEach(function(fo){var ho=ao[fo];lo.forEach(function(po){var go=ho[uo],vo=co[po],bo=ho[po],xo=go.distance+vo.distance;xo<bo.distance&&(bo.distance=xo,bo.predecessor=vo.predecessor)})})}),ao}return floydWarshall_1}var topsort_1,hasRequiredTopsort;function requireTopsort(){if(hasRequiredTopsort)return topsort_1;hasRequiredTopsort=1;var eo=requireLodash();topsort_1=to,to.CycleException=ro;function to(no){var oo={},io={},so=[];function ao(lo){if(eo.has(io,lo))throw new ro;eo.has(oo,lo)||(io[lo]=!0,oo[lo]=!0,eo.each(no.predecessors(lo),ao),delete io[lo],so.push(lo))}if(eo.each(no.sinks(),ao),eo.size(oo)!==no.nodeCount())throw new ro;return so}function ro(){}return ro.prototype=new Error,topsort_1}var isAcyclic_1,hasRequiredIsAcyclic;function requireIsAcyclic(){if(hasRequiredIsAcyclic)return isAcyclic_1;hasRequiredIsAcyclic=1;var eo=requireTopsort();isAcyclic_1=to;function to(ro){try{eo(ro)}catch(no){if(no instanceof eo.CycleException)return!1;throw no}return!0}return isAcyclic_1}var dfs_1,hasRequiredDfs;function requireDfs(){if(hasRequiredDfs)return dfs_1;hasRequiredDfs=1;var eo=requireLodash();dfs_1=to;function to(no,oo,io){eo.isArray(oo)||(oo=[oo]);var so=(no.isDirected()?no.successors:no.neighbors).bind(no),ao=[],lo={};return eo.each(oo,function(uo){if(!no.hasNode(uo))throw new Error("Graph does not have node: "+uo);ro(no,uo,io==="post",lo,so,ao)}),ao}function ro(no,oo,io,so,ao,lo){eo.has(so,oo)||(so[oo]=!0,io||lo.push(oo),eo.each(ao(oo),function(uo){ro(no,uo,io,so,ao,lo)}),io&&lo.push(oo))}return dfs_1}var postorder_1,hasRequiredPostorder;function requirePostorder(){if(hasRequiredPostorder)return postorder_1;hasRequiredPostorder=1;var eo=requireDfs();postorder_1=to;function to(ro,no){return eo(ro,no,"post")}return postorder_1}var preorder_1,hasRequiredPreorder;function requirePreorder(){if(hasRequiredPreorder)return preorder_1;hasRequiredPreorder=1;var eo=requireDfs();preorder_1=to;function to(ro,no){return eo(ro,no,"pre")}return preorder_1}var prim_1,hasRequiredPrim;function requirePrim(){if(hasRequiredPrim)return prim_1;hasRequiredPrim=1;var eo=requireLodash(),to=requireGraph(),ro=requirePriorityQueue();prim_1=no;function no(oo,io){var so=new to,ao={},lo=new ro,uo;function co(ho){var po=ho.v===uo?ho.w:ho.v,go=lo.priority(po);if(go!==void 0){var vo=io(ho);vo<go&&(ao[po]=uo,lo.decrease(po,vo))}}if(oo.nodeCount()===0)return so;eo.each(oo.nodes(),function(ho){lo.add(ho,Number.POSITIVE_INFINITY),so.setNode(ho)}),lo.decrease(oo.nodes()[0],0);for(var fo=!1;lo.size()>0;){if(uo=lo.removeMin(),eo.has(ao,uo))so.setEdge(uo,ao[uo]);else{if(fo)throw new Error("Input graph is not connected: "+oo);fo=!0}oo.nodeEdges(uo).forEach(co)}return so}return prim_1}var alg,hasRequiredAlg;function requireAlg(){return hasRequiredAlg||(hasRequiredAlg=1,alg={components:requireComponents(),dijkstra:requireDijkstra(),dijkstraAll:requireDijkstraAll(),findCycles:requireFindCycles(),floydWarshall:requireFloydWarshall(),isAcyclic:requireIsAcyclic(),postorder:requirePostorder(),preorder:requirePreorder(),prim:requirePrim(),tarjan:requireTarjan(),topsort:requireTopsort()}),alg}var graphlib$1,hasRequiredGraphlib;function requireGraphlib(){if(hasRequiredGraphlib)return graphlib$1;hasRequiredGraphlib=1;var eo=requireLib();return graphlib$1={Graph:eo.Graph,json:requireJson(),alg:requireAlg(),version:eo.version},graphlib$1}var graphlib;if(typeof commonjsRequire$1=="function")try{graphlib=requireGraphlib()}catch{}graphlib||(graphlib=window.graphlib);var graphlib_1=graphlib,cloneDeep_1,hasRequiredCloneDeep;function requireCloneDeep(){if(hasRequiredCloneDeep)return cloneDeep_1;hasRequiredCloneDeep=1;var eo=_baseClone,to=1,ro=4;function no(oo){return eo(oo,to|ro)}return cloneDeep_1=no,cloneDeep_1}var eq=eq_1,isArrayLike$3=isArrayLike_1,isIndex=_isIndex,isObject$7=isObject_1;function isIterateeCall$2(eo,to,ro){if(!isObject$7(ro))return!1;var no=typeof to;return(no=="number"?isArrayLike$3(ro)&&isIndex(to,ro.length):no=="string"&&to in ro)?eq(ro[to],eo):!1}var _isIterateeCall=isIterateeCall$2,defaults_1,hasRequiredDefaults;function requireDefaults(){if(hasRequiredDefaults)return defaults_1;hasRequiredDefaults=1;var eo=_baseRest,to=eq_1,ro=_isIterateeCall,no=keysIn_1,oo=Object.prototype,io=oo.hasOwnProperty,so=eo(function(ao,lo){ao=Object(ao);var uo=-1,co=lo.length,fo=co>2?lo[2]:void 0;for(fo&&ro(lo[0],lo[1],fo)&&(co=1);++uo<co;)for(var ho=lo[uo],po=no(ho),go=-1,vo=po.length;++go<vo;){var bo=po[go],xo=ao[bo];(xo===void 0||to(xo,oo[bo])&&!io.call(ao,bo))&&(ao[bo]=ho[bo])}return ao});return defaults_1=so,defaults_1}var baseIteratee$4=_baseIteratee,isArrayLike$2=isArrayLike_1,keys$1=keys_1;function createFind$1(eo){return function(to,ro,no){var oo=Object(to);if(!isArrayLike$2(to)){var io=baseIteratee$4(ro);to=keys$1(to),ro=function(ao){return io(oo[ao],ao,oo)}}var so=eo(to,ro,no);return so>-1?oo[io?to[so]:so]:void 0}}var _createFind=createFind$1,reWhitespace=/\s/;function trimmedEndIndex$1(eo){for(var to=eo.length;to--&&reWhitespace.test(eo.charAt(to)););return to}var _trimmedEndIndex=trimmedEndIndex$1,trimmedEndIndex=_trimmedEndIndex,reTrimStart=/^\s+/;function baseTrim$1(eo){return eo&&eo.slice(0,trimmedEndIndex(eo)+1).replace(reTrimStart,"")}var _baseTrim=baseTrim$1,baseTrim=_baseTrim,isObject$6=isObject_1,isSymbol$2=isSymbol_1,NAN=NaN,reIsBadHex=/^[-+]0x[0-9a-f]+$/i,reIsBinary=/^0b[01]+$/i,reIsOctal=/^0o[0-7]+$/i,freeParseInt=parseInt;function toNumber$1(eo){if(typeof eo=="number")return eo;if(isSymbol$2(eo))return NAN;if(isObject$6(eo)){var to=typeof eo.valueOf=="function"?eo.valueOf():eo;eo=isObject$6(to)?to+"":to}if(typeof eo!="string")return eo===0?eo:+eo;eo=baseTrim(eo);var ro=reIsBinary.test(eo);return ro||reIsOctal.test(eo)?freeParseInt(eo.slice(2),ro?2:8):reIsBadHex.test(eo)?NAN:+eo}var toNumber_1=toNumber$1,toNumber=toNumber_1,INFINITY=1/0,MAX_INTEGER=17976931348623157e292;function toFinite$2(eo){if(!eo)return eo===0?eo:0;if(eo=toNumber(eo),eo===INFINITY||eo===-INFINITY){var to=eo<0?-1:1;return to*MAX_INTEGER}return eo===eo?eo:0}var toFinite_1=toFinite$2,toFinite$1=toFinite_1;function toInteger$1(eo){var to=toFinite$1(eo),ro=to%1;return to===to?ro?to-ro:to:0}var toInteger_1=toInteger$1,baseFindIndex=_baseFindIndex,baseIteratee$3=_baseIteratee,toInteger=toInteger_1,nativeMax$1=Math.max;function findIndex$1(eo,to,ro){var no=eo==null?0:eo.length;if(!no)return-1;var oo=ro==null?0:toInteger(ro);return oo<0&&(oo=nativeMax$1(no+oo,0)),baseFindIndex(eo,baseIteratee$3(to),oo)}var findIndex_1=findIndex$1,createFind=_createFind,findIndex=findIndex_1,find$1=createFind(findIndex),find_1=find$1,baseFlatten$1=_baseFlatten;function flatten$2(eo){var to=eo==null?0:eo.length;return to?baseFlatten$1(eo,1):[]}var flatten_1=flatten$2,forIn_1,hasRequiredForIn;function requireForIn(){if(hasRequiredForIn)return forIn_1;hasRequiredForIn=1;var eo=_baseFor,to=require_castFunction(),ro=keysIn_1;function no(oo,io){return oo==null?oo:eo(oo,to(io),ro)}return forIn_1=no,forIn_1}function last(eo){var to=eo==null?0:eo.length;return to?eo[to-1]:void 0}var last_1=last,baseAssignValue=_baseAssignValue,baseForOwn=_baseForOwn,baseIteratee$2=_baseIteratee;function mapValues(eo,to){var ro={};return to=baseIteratee$2(to),baseForOwn(eo,function(no,oo,io){baseAssignValue(ro,oo,to(no,oo,io))}),ro}var mapValues_1=mapValues,isSymbol$1=isSymbol_1;function baseExtremum$3(eo,to,ro){for(var no=-1,oo=eo.length;++no<oo;){var io=eo[no],so=to(io);if(so!=null&&(ao===void 0?so===so&&!isSymbol$1(so):ro(so,ao)))var ao=so,lo=io}return lo}var _baseExtremum=baseExtremum$3;function baseGt$1(eo,to){return eo>to}var _baseGt=baseGt$1,baseExtremum$2=_baseExtremum,baseGt=_baseGt,identity$4=identity_1;function max$1(eo){return eo&&eo.length?baseExtremum$2(eo,identity$4,baseGt):void 0}var max_1=max$1,_assignMergeValue,hasRequired_assignMergeValue;function require_assignMergeValue(){if(hasRequired_assignMergeValue)return _assignMergeValue;hasRequired_assignMergeValue=1;var eo=_baseAssignValue,to=eq_1;function ro(no,oo,io){(io!==void 0&&!to(no[oo],io)||io===void 0&&!(oo in no))&&eo(no,oo,io)}return _assignMergeValue=ro,_assignMergeValue}var baseGetTag=_baseGetTag,getPrototype=_getPrototype,isObjectLike=isObjectLike_1,objectTag="[object Object]",funcProto=Function.prototype,objectProto=Object.prototype,funcToString=funcProto.toString,hasOwnProperty$2=objectProto.hasOwnProperty,objectCtorString=funcToString.call(Object);function isPlainObject$1(eo){if(!isObjectLike(eo)||baseGetTag(eo)!=objectTag)return!1;var to=getPrototype(eo);if(to===null)return!0;var ro=hasOwnProperty$2.call(to,"constructor")&&to.constructor;return typeof ro=="function"&&ro instanceof ro&&funcToString.call(ro)==objectCtorString}var isPlainObject_1=isPlainObject$1,_safeGet,hasRequired_safeGet;function require_safeGet(){if(hasRequired_safeGet)return _safeGet;hasRequired_safeGet=1;function eo(to,ro){if(!(ro==="constructor"&&typeof to[ro]=="function")&&ro!="__proto__")return to[ro]}return _safeGet=eo,_safeGet}var toPlainObject_1,hasRequiredToPlainObject;function requireToPlainObject(){if(hasRequiredToPlainObject)return toPlainObject_1;hasRequiredToPlainObject=1;var eo=_copyObject,to=keysIn_1;function ro(no){return eo(no,to(no))}return toPlainObject_1=ro,toPlainObject_1}var _baseMergeDeep,hasRequired_baseMergeDeep;function require_baseMergeDeep(){if(hasRequired_baseMergeDeep)return _baseMergeDeep;hasRequired_baseMergeDeep=1;var eo=require_assignMergeValue(),to=_cloneBufferExports,ro=_cloneTypedArray,no=_copyArray,oo=_initCloneObject,io=isArguments_1,so=isArray_1,ao=requireIsArrayLikeObject(),lo=isBufferExports,uo=isFunction_1,co=isObject_1,fo=isPlainObject_1,ho=isTypedArray_1,po=require_safeGet(),go=requireToPlainObject();function vo(bo,xo,_o,Eo,So,To,wo){var Co=po(bo,_o),Oo=po(xo,_o),Ao=wo.get(Oo);if(Ao){eo(bo,_o,Ao);return}var Ro=To?To(Co,Oo,_o+"",bo,xo,wo):void 0,No=Ro===void 0;if(No){var Mo=so(Oo),Do=!Mo&&lo(Oo),jo=!Mo&&!Do&&ho(Oo);Ro=Oo,Mo||Do||jo?so(Co)?Ro=Co:ao(Co)?Ro=no(Co):Do?(No=!1,Ro=to(Oo,!0)):jo?(No=!1,Ro=ro(Oo,!0)):Ro=[]:fo(Oo)||io(Oo)?(Ro=Co,io(Co)?Ro=go(Co):(!co(Co)||uo(Co))&&(Ro=oo(Oo))):No=!1}No&&(wo.set(Oo,Ro),So(Ro,Oo,Eo,To,wo),wo.delete(Oo)),eo(bo,_o,Ro)}return _baseMergeDeep=vo,_baseMergeDeep}var _baseMerge,hasRequired_baseMerge;function require_baseMerge(){if(hasRequired_baseMerge)return _baseMerge;hasRequired_baseMerge=1;var eo=_Stack,to=require_assignMergeValue(),ro=_baseFor,no=require_baseMergeDeep(),oo=isObject_1,io=keysIn_1,so=require_safeGet();function ao(lo,uo,co,fo,ho){lo!==uo&&ro(uo,function(po,go){if(ho||(ho=new eo),oo(po))no(lo,uo,go,co,ao,fo,ho);else{var vo=fo?fo(so(lo,go),po,go+"",lo,uo,ho):void 0;vo===void 0&&(vo=po),to(lo,go,vo)}},io)}return _baseMerge=ao,_baseMerge}var _createAssigner,hasRequired_createAssigner;function require_createAssigner(){if(hasRequired_createAssigner)return _createAssigner;hasRequired_createAssigner=1;var eo=_baseRest,to=_isIterateeCall;function ro(no){return eo(function(oo,io){var so=-1,ao=io.length,lo=ao>1?io[ao-1]:void 0,uo=ao>2?io[2]:void 0;for(lo=no.length>3&&typeof lo=="function"?(ao--,lo):void 0,uo&&to(io[0],io[1],uo)&&(lo=ao<3?void 0:lo,ao=1),oo=Object(oo);++so<ao;){var co=io[so];co&&no(oo,co,so,lo)}return oo})}return _createAssigner=ro,_createAssigner}var merge_1,hasRequiredMerge;function requireMerge(){if(hasRequiredMerge)return merge_1;hasRequiredMerge=1;var eo=require_baseMerge(),to=require_createAssigner(),ro=to(function(no,oo,io){eo(no,oo,io)});return merge_1=ro,merge_1}function baseLt$2(eo,to){return eo<to}var _baseLt=baseLt$2,baseExtremum$1=_baseExtremum,baseLt$1=_baseLt,identity$3=identity_1;function min$1(eo){return eo&&eo.length?baseExtremum$1(eo,identity$3,baseLt$1):void 0}var min_1=min$1,baseExtremum=_baseExtremum,baseIteratee$1=_baseIteratee,baseLt=_baseLt;function minBy(eo,to){return eo&&eo.length?baseExtremum(eo,baseIteratee$1(to),baseLt):void 0}var minBy_1=minBy,root$2=_root$1,now$1=function(){return root$2.Date.now()},now_1=now$1,_baseSet,hasRequired_baseSet;function require_baseSet(){if(hasRequired_baseSet)return _baseSet;hasRequired_baseSet=1;var eo=_assignValue,to=_castPath,ro=_isIndex,no=isObject_1,oo=_toKey;function io(so,ao,lo,uo){if(!no(so))return so;ao=to(ao,so);for(var co=-1,fo=ao.length,ho=fo-1,po=so;po!=null&&++co<fo;){var go=oo(ao[co]),vo=lo;if(go==="__proto__"||go==="constructor"||go==="prototype")return so;if(co!=ho){var bo=po[go];vo=uo?uo(bo,go,po):void 0,vo===void 0&&(vo=no(bo)?bo:ro(ao[co+1])?[]:{})}eo(po,go,vo),po=po[go]}return so}return _baseSet=io,_baseSet}var _basePickBy,hasRequired_basePickBy;function require_basePickBy(){if(hasRequired_basePickBy)return _basePickBy;hasRequired_basePickBy=1;var eo=_baseGet,to=require_baseSet(),ro=_castPath;function no(oo,io,so){for(var ao=-1,lo=io.length,uo={};++ao<lo;){var co=io[ao],fo=eo(oo,co);so(fo,co)&&to(uo,ro(co,oo),fo)}return uo}return _basePickBy=no,_basePickBy}var _basePick,hasRequired_basePick;function require_basePick(){if(hasRequired_basePick)return _basePick;hasRequired_basePick=1;var eo=require_basePickBy(),to=hasIn_1;function ro(no,oo){return eo(no,oo,function(io,so){return to(no,so)})}return _basePick=ro,_basePick}var 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eo=[],to=this._sentinel,ro=to._prev;ro!==to;)eo.push(JSON.stringify(ro,filterOutLinks)),ro=ro._prev;return"["+eo.join(", ")+"]"};function unlink(eo){eo._prev._next=eo._next,eo._next._prev=eo._prev,delete eo._next,delete eo._prev}function filterOutLinks(eo,to){if(eo!=="_next"&&eo!=="_prev")return to}var _$u=lodash_1,Graph$8=graphlib_1.Graph,List$2=list,greedyFas=greedyFAS$1,DEFAULT_WEIGHT_FN=_$u.constant(1);function greedyFAS$1(eo,to){if(eo.nodeCount()<=1)return[];var ro=buildState(eo,to||DEFAULT_WEIGHT_FN),no=doGreedyFAS(ro.graph,ro.buckets,ro.zeroIdx);return _$u.flatten(_$u.map(no,function(oo){return eo.outEdges(oo.v,oo.w)}),!0)}function doGreedyFAS(eo,to,ro){for(var no=[],oo=to[to.length-1],io=to[0],so;eo.nodeCount();){for(;so=io.dequeue();)removeNode(eo,to,ro,so);for(;so=oo.dequeue();)removeNode(eo,to,ro,so);if(eo.nodeCount()){for(var ao=to.length-2;ao>0;--ao)if(so=to[ao].dequeue(),so){no=no.concat(removeNode(eo,to,ro,so,!0));break}}}return no}function removeNode(eo,to,ro,no,oo){var io=oo?[]:void 0;return _$u.forEach(eo.inEdges(no.v),function(so){var ao=eo.edge(so),lo=eo.node(so.v);oo&&io.push({v:so.v,w:so.w}),lo.out-=ao,assignBucket(to,ro,lo)}),_$u.forEach(eo.outEdges(no.v),function(so){var ao=eo.edge(so),lo=so.w,uo=eo.node(lo);uo.in-=ao,assignBucket(to,ro,uo)}),eo.removeNode(no.v),io}function buildState(eo,to){var ro=new Graph$8,no=0,oo=0;_$u.forEach(eo.nodes(),function(ao){ro.setNode(ao,{v:ao,in:0,out:0})}),_$u.forEach(eo.edges(),function(ao){var lo=ro.edge(ao.v,ao.w)||0,uo=to(ao),co=lo+uo;ro.setEdge(ao.v,ao.w,co),oo=Math.max(oo,ro.node(ao.v).out+=uo),no=Math.max(no,ro.node(ao.w).in+=uo)});var io=_$u.range(oo+no+3).map(function(){return new List$2}),so=no+1;return _$u.forEach(ro.nodes(),function(ao){assignBucket(io,so,ro.node(ao))}),{graph:ro,buckets:io,zeroIdx:so}}function assignBucket(eo,to,ro){ro.out?ro.in?eo[ro.out-ro.in+to].enqueue(ro):eo[eo.length-1].enqueue(ro):eo[0].enqueue(ro)}var _$t=lodash_1,greedyFAS=greedyFas,acyclic$1={run:run$2,undo:undo$4};function run$2(eo){var to=eo.graph().acyclicer==="greedy"?greedyFAS(eo,ro(eo)):dfsFAS(eo);_$t.forEach(to,function(no){var oo=eo.edge(no);eo.removeEdge(no),oo.forwardName=no.name,oo.reversed=!0,eo.setEdge(no.w,no.v,oo,_$t.uniqueId("rev"))});function ro(no){return function(oo){return no.edge(oo).weight}}}function dfsFAS(eo){var to=[],ro={},no={};function oo(io){_$t.has(no,io)||(no[io]=!0,ro[io]=!0,_$t.forEach(eo.outEdges(io),function(so){_$t.has(ro,so.w)?to.push(so):oo(so.w)}),delete ro[io])}return _$t.forEach(eo.nodes(),oo),to}function undo$4(eo){_$t.forEach(eo.edges(),function(to){var ro=eo.edge(to);if(ro.reversed){eo.removeEdge(to);var no=ro.forwardName;delete ro.reversed,delete ro.forwardName,eo.setEdge(to.w,to.v,ro,no)}})}var _$s=lodash_1,Graph$7=graphlib_1.Graph,util$a={addDummyNode,simplify:simplify$1,asNonCompoundGraph,successorWeights,predecessorWeights,intersectRect,buildLayerMatrix,normalizeRanks:normalizeRanks$1,removeEmptyRanks:removeEmptyRanks$1,addBorderNode:addBorderNode$1,maxRank,partition,time,notime};function addDummyNode(eo,to,ro,no){var oo;do oo=_$s.uniqueId(no);while(eo.hasNode(oo));return ro.dummy=to,eo.setNode(oo,ro),oo}function simplify$1(eo){var to=new Graph$7().setGraph(eo.graph());return _$s.forEach(eo.nodes(),function(ro){to.setNode(ro,eo.node(ro))}),_$s.forEach(eo.edges(),function(ro){var no=to.edge(ro.v,ro.w)||{weight:0,minlen:1},oo=eo.edge(ro);to.setEdge(ro.v,ro.w,{weight:no.weight+oo.weight,minlen:Math.max(no.minlen,oo.minlen)})}),to}function asNonCompoundGraph(eo){var to=new Graph$7({multigraph:eo.isMultigraph()}).setGraph(eo.graph());return _$s.forEach(eo.nodes(),function(ro){eo.children(ro).length||to.setNode(ro,eo.node(ro))}),_$s.forEach(eo.edges(),function(ro){to.setEdge(ro,eo.edge(ro))}),to}function successorWeights(eo){var to=_$s.map(eo.nodes(),function(ro){var no={};return _$s.forEach(eo.outEdges(ro),function(oo){no[oo.w]=(no[oo.w]||0)+eo.edge(oo).weight}),no});return _$s.zipObject(eo.nodes(),to)}function predecessorWeights(eo){var to=_$s.map(eo.nodes(),function(ro){var no={};return _$s.forEach(eo.inEdges(ro),function(oo){no[oo.v]=(no[oo.v]||0)+eo.edge(oo).weight}),no});return _$s.zipObject(eo.nodes(),to)}function intersectRect(eo,to){var ro=eo.x,no=eo.y,oo=to.x-ro,io=to.y-no,so=eo.width/2,ao=eo.height/2;if(!oo&&!io)throw new Error("Not possible to find intersection inside of the rectangle");var lo,uo;return Math.abs(io)*so>Math.abs(oo)*ao?(io<0&&(ao=-ao),lo=ao*oo/io,uo=ao):(oo<0&&(so=-so),lo=so,uo=so*io/oo),{x:ro+lo,y:no+uo}}function buildLayerMatrix(eo){var to=_$s.map(_$s.range(maxRank(eo)+1),function(){return[]});return _$s.forEach(eo.nodes(),function(ro){var no=eo.node(ro),oo=no.rank;_$s.isUndefined(oo)||(to[oo][no.order]=ro)}),to}function normalizeRanks$1(eo){var to=_$s.min(_$s.map(eo.nodes(),function(ro){return eo.node(ro).rank}));_$s.forEach(eo.nodes(),function(ro){var no=eo.node(ro);_$s.has(no,"rank")&&(no.rank-=to)})}function removeEmptyRanks$1(eo){var to=_$s.min(_$s.map(eo.nodes(),function(io){return eo.node(io).rank})),ro=[];_$s.forEach(eo.nodes(),function(io){var so=eo.node(io).rank-to;ro[so]||(ro[so]=[]),ro[so].push(io)});var no=0,oo=eo.graph().nodeRankFactor;_$s.forEach(ro,function(io,so){_$s.isUndefined(io)&&so%oo!==0?--no:no&&_$s.forEach(io,function(ao){eo.node(ao).rank+=no})})}function addBorderNode$1(eo,to,ro,no){var oo={width:0,height:0};return arguments.length>=4&&(oo.rank=ro,oo.order=no),addDummyNode(eo,"border",oo,to)}function maxRank(eo){return _$s.max(_$s.map(eo.nodes(),function(to){var ro=eo.node(to).rank;if(!_$s.isUndefined(ro))return ro}))}function partition(eo,to){var ro={lhs:[],rhs:[]};return _$s.forEach(eo,function(no){to(no)?ro.lhs.push(no):ro.rhs.push(no)}),ro}function time(eo,to){var ro=_$s.now();try{return to()}finally{console.log(eo+" time: "+(_$s.now()-ro)+"ms")}}function notime(eo,to){return to()}var _$r=lodash_1,util$9=util$a,normalize$1={run:run$1,undo:undo$3};function run$1(eo){eo.graph().dummyChains=[],_$r.forEach(eo.edges(),function(to){normalizeEdge(eo,to)})}function normalizeEdge(eo,to){var ro=to.v,no=eo.node(ro).rank,oo=to.w,io=eo.node(oo).rank,so=to.name,ao=eo.edge(to),lo=ao.labelRank;if(io!==no+1){eo.removeEdge(to);var uo,co,fo;for(fo=0,++no;no<io;++fo,++no)ao.points=[],co={width:0,height:0,edgeLabel:ao,edgeObj:to,rank:no},uo=util$9.addDummyNode(eo,"edge",co,"_d"),no===lo&&(co.width=ao.width,co.height=ao.height,co.dummy="edge-label",co.labelpos=ao.labelpos),eo.setEdge(ro,uo,{weight:ao.weight},so),fo===0&&eo.graph().dummyChains.push(uo),ro=uo;eo.setEdge(ro,oo,{weight:ao.weight},so)}}function undo$3(eo){_$r.forEach(eo.graph().dummyChains,function(to){var ro=eo.node(to),no=ro.edgeLabel,oo;for(eo.setEdge(ro.edgeObj,no);ro.dummy;)oo=eo.successors(to)[0],eo.removeNode(to),no.points.push({x:ro.x,y:ro.y}),ro.dummy==="edge-label"&&(no.x=ro.x,no.y=ro.y,no.width=ro.width,no.height=ro.height),to=oo,ro=eo.node(to)})}var _$q=lodash_1,util$8={longestPath:longestPath$1,slack:slack$2};function longestPath$1(eo){var to={};function ro(no){var oo=eo.node(no);if(_$q.has(to,no))return oo.rank;to[no]=!0;var io=_$q.min(_$q.map(eo.outEdges(no),function(so){return ro(so.w)-eo.edge(so).minlen}));return(io===Number.POSITIVE_INFINITY||io===void 0||io===null)&&(io=0),oo.rank=io}_$q.forEach(eo.sources(),ro)}function slack$2(eo,to){return eo.node(to.w).rank-eo.node(to.v).rank-eo.edge(to).minlen}var _$p=lodash_1,Graph$6=graphlib_1.Graph,slack$1=util$8.slack,feasibleTree_1=feasibleTree$2;function feasibleTree$2(eo){var to=new Graph$6({directed:!1}),ro=eo.nodes()[0],no=eo.nodeCount();to.setNode(ro,{});for(var oo,io;tightTree(to,eo)<no;)oo=findMinSlackEdge(to,eo),io=to.hasNode(oo.v)?slack$1(eo,oo):-slack$1(eo,oo),shiftRanks(to,eo,io);return to}function tightTree(eo,to){function ro(no){_$p.forEach(to.nodeEdges(no),function(oo){var io=oo.v,so=no===io?oo.w:io;!eo.hasNode(so)&&!slack$1(to,oo)&&(eo.setNode(so,{}),eo.setEdge(no,so,{}),ro(so))})}return _$p.forEach(eo.nodes(),ro),eo.nodeCount()}function findMinSlackEdge(eo,to){return _$p.minBy(to.edges(),function(ro){if(eo.hasNode(ro.v)!==eo.hasNode(ro.w))return slack$1(to,ro)})}function shiftRanks(eo,to,ro){_$p.forEach(eo.nodes(),function(no){to.node(no).rank+=ro})}var _$o=lodash_1,feasibleTree$1=feasibleTree_1,slack=util$8.slack,initRank=util$8.longestPath,preorder=graphlib_1.alg.preorder,postorder$1=graphlib_1.alg.postorder,simplify=util$a.simplify,networkSimplex_1=networkSimplex$1;networkSimplex$1.initLowLimValues=initLowLimValues;networkSimplex$1.initCutValues=initCutValues;networkSimplex$1.calcCutValue=calcCutValue;networkSimplex$1.leaveEdge=leaveEdge;networkSimplex$1.enterEdge=enterEdge;networkSimplex$1.exchangeEdges=exchangeEdges;function networkSimplex$1(eo){eo=simplify(eo),initRank(eo);var to=feasibleTree$1(eo);initLowLimValues(to),initCutValues(to,eo);for(var ro,no;ro=leaveEdge(to);)no=enterEdge(to,eo,ro),exchangeEdges(to,eo,ro,no)}function initCutValues(eo,to){var ro=postorder$1(eo,eo.nodes());ro=ro.slice(0,ro.length-1),_$o.forEach(ro,function(no){assignCutValue(eo,to,no)})}function assignCutValue(eo,to,ro){var no=eo.node(ro),oo=no.parent;eo.edge(ro,oo).cutvalue=calcCutValue(eo,to,ro)}function calcCutValue(eo,to,ro){var no=eo.node(ro),oo=no.parent,io=!0,so=to.edge(ro,oo),ao=0;return so||(io=!1,so=to.edge(oo,ro)),ao=so.weight,_$o.forEach(to.nodeEdges(ro),function(lo){var uo=lo.v===ro,co=uo?lo.w:lo.v;if(co!==oo){var fo=uo===io,ho=to.edge(lo).weight;if(ao+=fo?ho:-ho,isTreeEdge(eo,ro,co)){var po=eo.edge(ro,co).cutvalue;ao+=fo?-po:po}}}),ao}function initLowLimValues(eo,to){arguments.length<2&&(to=eo.nodes()[0]),dfsAssignLowLim(eo,{},1,to)}function dfsAssignLowLim(eo,to,ro,no,oo){var io=ro,so=eo.node(no);return to[no]=!0,_$o.forEach(eo.neighbors(no),function(ao){_$o.has(to,ao)||(ro=dfsAssignLowLim(eo,to,ro,ao,no))}),so.low=io,so.lim=ro++,oo?so.parent=oo:delete so.parent,ro}function leaveEdge(eo){return _$o.find(eo.edges(),function(to){return eo.edge(to).cutvalue<0})}function enterEdge(eo,to,ro){var no=ro.v,oo=ro.w;to.hasEdge(no,oo)||(no=ro.w,oo=ro.v);var io=eo.node(no),so=eo.node(oo),ao=io,lo=!1;io.lim>so.lim&&(ao=so,lo=!0);var uo=_$o.filter(to.edges(),function(co){return lo===isDescendant(eo,eo.node(co.v),ao)&&lo!==isDescendant(eo,eo.node(co.w),ao)});return _$o.minBy(uo,function(co){return slack(to,co)})}function exchangeEdges(eo,to,ro,no){var oo=ro.v,io=ro.w;eo.removeEdge(oo,io),eo.setEdge(no.v,no.w,{}),initLowLimValues(eo),initCutValues(eo,to),updateRanks(eo,to)}function updateRanks(eo,to){var ro=_$o.find(eo.nodes(),function(oo){return!to.node(oo).parent}),no=preorder(eo,ro);no=no.slice(1),_$o.forEach(no,function(oo){var io=eo.node(oo).parent,so=to.edge(oo,io),ao=!1;so||(so=to.edge(io,oo),ao=!0),to.node(oo).rank=to.node(io).rank+(ao?so.minlen:-so.minlen)})}function isTreeEdge(eo,to,ro){return eo.hasEdge(to,ro)}function isDescendant(eo,to,ro){return ro.low<=to.lim&&to.lim<=ro.lim}var rankUtil=util$8,longestPath=rankUtil.longestPath,feasibleTree=feasibleTree_1,networkSimplex=networkSimplex_1,rank_1=rank$1;function rank$1(eo){switch(eo.graph().ranker){case"network-simplex":networkSimplexRanker(eo);break;case"tight-tree":tightTreeRanker(eo);break;case"longest-path":longestPathRanker(eo);break;default:networkSimplexRanker(eo)}}var longestPathRanker=longestPath;function tightTreeRanker(eo){longestPath(eo),feasibleTree(eo)}function networkSimplexRanker(eo){networkSimplex(eo)}var _$n=lodash_1,parentDummyChains_1=parentDummyChains$1;function parentDummyChains$1(eo){var to=postorder(eo);_$n.forEach(eo.graph().dummyChains,function(ro){for(var no=eo.node(ro),oo=no.edgeObj,io=findPath(eo,to,oo.v,oo.w),so=io.path,ao=io.lca,lo=0,uo=so[lo],co=!0;ro!==oo.w;){if(no=eo.node(ro),co){for(;(uo=so[lo])!==ao&&eo.node(uo).maxRank<no.rank;)lo++;uo===ao&&(co=!1)}if(!co){for(;lo<so.length-1&&eo.node(uo=so[lo+1]).minRank<=no.rank;)lo++;uo=so[lo]}eo.setParent(ro,uo),ro=eo.successors(ro)[0]}})}function findPath(eo,to,ro,no){var oo=[],io=[],so=Math.min(to[ro].low,to[no].low),ao=Math.max(to[ro].lim,to[no].lim),lo,uo;lo=ro;do lo=eo.parent(lo),oo.push(lo);while(lo&&(to[lo].low>so||ao>to[lo].lim));for(uo=lo,lo=no;(lo=eo.parent(lo))!==uo;)io.push(lo);return{path:oo.concat(io.reverse()),lca:uo}}function postorder(eo){var to={},ro=0;function no(oo){var io=ro;_$n.forEach(eo.children(oo),no),to[oo]={low:io,lim:ro++}}return _$n.forEach(eo.children(),no),to}var _$m=lodash_1,util$7=util$a,nestingGraph$1={run,cleanup:cleanup$1};function run(eo){var to=util$7.addDummyNode(eo,"root",{},"_root"),ro=treeDepths(eo),no=_$m.max(_$m.values(ro))-1,oo=2*no+1;eo.graph().nestingRoot=to,_$m.forEach(eo.edges(),function(so){eo.edge(so).minlen*=oo});var io=sumWeights(eo)+1;_$m.forEach(eo.children(),function(so){dfs(eo,to,oo,io,no,ro,so)}),eo.graph().nodeRankFactor=oo}function dfs(eo,to,ro,no,oo,io,so){var ao=eo.children(so);if(!ao.length){so!==to&&eo.setEdge(to,so,{weight:0,minlen:ro});return}var lo=util$7.addBorderNode(eo,"_bt"),uo=util$7.addBorderNode(eo,"_bb"),co=eo.node(so);eo.setParent(lo,so),co.borderTop=lo,eo.setParent(uo,so),co.borderBottom=uo,_$m.forEach(ao,function(fo){dfs(eo,to,ro,no,oo,io,fo);var ho=eo.node(fo),po=ho.borderTop?ho.borderTop:fo,go=ho.borderBottom?ho.borderBottom:fo,vo=ho.borderTop?no:2*no,bo=po!==go?1:oo-io[so]+1;eo.setEdge(lo,po,{weight:vo,minlen:bo,nestingEdge:!0}),eo.setEdge(go,uo,{weight:vo,minlen:bo,nestingEdge:!0})}),eo.parent(so)||eo.setEdge(to,lo,{weight:0,minlen:oo+io[so]})}function treeDepths(eo){var to={};function ro(no,oo){var io=eo.children(no);io&&io.length&&_$m.forEach(io,function(so){ro(so,oo+1)}),to[no]=oo}return _$m.forEach(eo.children(),function(no){ro(no,1)}),to}function sumWeights(eo){return _$m.reduce(eo.edges(),function(to,ro){return to+eo.edge(ro).weight},0)}function cleanup$1(eo){var to=eo.graph();eo.removeNode(to.nestingRoot),delete to.nestingRoot,_$m.forEach(eo.edges(),function(ro){var no=eo.edge(ro);no.nestingEdge&&eo.removeEdge(ro)})}var _$l=lodash_1,util$6=util$a,addBorderSegments_1=addBorderSegments$1;function addBorderSegments$1(eo){function to(ro){var no=eo.children(ro),oo=eo.node(ro);if(no.length&&_$l.forEach(no,to),_$l.has(oo,"minRank")){oo.borderLeft=[],oo.borderRight=[];for(var io=oo.minRank,so=oo.maxRank+1;io<so;++io)addBorderNode(eo,"borderLeft","_bl",ro,oo,io),addBorderNode(eo,"borderRight","_br",ro,oo,io)}}_$l.forEach(eo.children(),to)}function addBorderNode(eo,to,ro,no,oo,io){var so={width:0,height:0,rank:io,borderType:to},ao=oo[to][io-1],lo=util$6.addDummyNode(eo,"border",so,ro);oo[to][io]=lo,eo.setParent(lo,no),ao&&eo.setEdge(ao,lo,{weight:1})}var _$k=lodash_1,coordinateSystem$1={adjust,undo:undo$2};function adjust(eo){var to=eo.graph().rankdir.toLowerCase();(to==="lr"||to==="rl")&&swapWidthHeight(eo)}function undo$2(eo){var to=eo.graph().rankdir.toLowerCase();(to==="bt"||to==="rl")&&reverseY(eo),(to==="lr"||to==="rl")&&(swapXY(eo),swapWidthHeight(eo))}function swapWidthHeight(eo){_$k.forEach(eo.nodes(),function(to){swapWidthHeightOne(eo.node(to))}),_$k.forEach(eo.edges(),function(to){swapWidthHeightOne(eo.edge(to))})}function swapWidthHeightOne(eo){var to=eo.width;eo.width=eo.height,eo.height=to}function reverseY(eo){_$k.forEach(eo.nodes(),function(to){reverseYOne(eo.node(to))}),_$k.forEach(eo.edges(),function(to){var ro=eo.edge(to);_$k.forEach(ro.points,reverseYOne),_$k.has(ro,"y")&&reverseYOne(ro)})}function reverseYOne(eo){eo.y=-eo.y}function swapXY(eo){_$k.forEach(eo.nodes(),function(to){swapXYOne(eo.node(to))}),_$k.forEach(eo.edges(),function(to){var ro=eo.edge(to);_$k.forEach(ro.points,swapXYOne),_$k.has(ro,"x")&&swapXYOne(ro)})}function swapXYOne(eo){var to=eo.x;eo.x=eo.y,eo.y=to}var _$j=lodash_1,initOrder_1=initOrder$1;function initOrder$1(eo){var to={},ro=_$j.filter(eo.nodes(),function(ao){return!eo.children(ao).length}),no=_$j.max(_$j.map(ro,function(ao){return eo.node(ao).rank})),oo=_$j.map(_$j.range(no+1),function(){return[]});function io(ao){if(!_$j.has(to,ao)){to[ao]=!0;var lo=eo.node(ao);oo[lo.rank].push(ao),_$j.forEach(eo.successors(ao),io)}}var so=_$j.sortBy(ro,function(ao){return eo.node(ao).rank});return _$j.forEach(so,io),oo}var _$i=lodash_1,crossCount_1=crossCount$1;function crossCount$1(eo,to){for(var ro=0,no=1;no<to.length;++no)ro+=twoLayerCrossCount(eo,to[no-1],to[no]);return ro}function twoLayerCrossCount(eo,to,ro){for(var no=_$i.zipObject(ro,_$i.map(ro,function(uo,co){return co})),oo=_$i.flatten(_$i.map(to,function(uo){return _$i.sortBy(_$i.map(eo.outEdges(uo),function(co){return{pos:no[co.w],weight:eo.edge(co).weight}}),"pos")}),!0),io=1;io<ro.length;)io<<=1;var so=2*io-1;io-=1;var ao=_$i.map(new Array(so),function(){return 0}),lo=0;return _$i.forEach(oo.forEach(function(uo){var co=uo.pos+io;ao[co]+=uo.weight;for(var fo=0;co>0;)co%2&&(fo+=ao[co+1]),co=co-1>>1,ao[co]+=uo.weight;lo+=uo.weight*fo})),lo}var _$h=lodash_1,barycenter_1=barycenter$1;function barycenter$1(eo,to){return _$h.map(to,function(ro){var no=eo.inEdges(ro);if(no.length){var oo=_$h.reduce(no,function(io,so){var ao=eo.edge(so),lo=eo.node(so.v);return{sum:io.sum+ao.weight*lo.order,weight:io.weight+ao.weight}},{sum:0,weight:0});return{v:ro,barycenter:oo.sum/oo.weight,weight:oo.weight}}else return{v:ro}})}var _$g=lodash_1,resolveConflicts_1=resolveConflicts$1;function resolveConflicts$1(eo,to){var ro={};_$g.forEach(eo,function(oo,io){var so=ro[oo.v]={indegree:0,in:[],out:[],vs:[oo.v],i:io};_$g.isUndefined(oo.barycenter)||(so.barycenter=oo.barycenter,so.weight=oo.weight)}),_$g.forEach(to.edges(),function(oo){var io=ro[oo.v],so=ro[oo.w];!_$g.isUndefined(io)&&!_$g.isUndefined(so)&&(so.indegree++,io.out.push(ro[oo.w]))});var no=_$g.filter(ro,function(oo){return!oo.indegree});return doResolveConflicts(no)}function doResolveConflicts(eo){var to=[];function ro(io){return function(so){so.merged||(_$g.isUndefined(so.barycenter)||_$g.isUndefined(io.barycenter)||so.barycenter>=io.barycenter)&&mergeEntries(io,so)}}function no(io){return function(so){so.in.push(io),--so.indegree===0&&eo.push(so)}}for(;eo.length;){var oo=eo.pop();to.push(oo),_$g.forEach(oo.in.reverse(),ro(oo)),_$g.forEach(oo.out,no(oo))}return _$g.map(_$g.filter(to,function(io){return!io.merged}),function(io){return _$g.pick(io,["vs","i","barycenter","weight"])})}function mergeEntries(eo,to){var ro=0,no=0;eo.weight&&(ro+=eo.barycenter*eo.weight,no+=eo.weight),to.weight&&(ro+=to.barycenter*to.weight,no+=to.weight),eo.vs=to.vs.concat(eo.vs),eo.barycenter=ro/no,eo.weight=no,eo.i=Math.min(to.i,eo.i),to.merged=!0}var _$f=lodash_1,util$5=util$a,sort_1=sort$1;function sort$1(eo,to){var ro=util$5.partition(eo,function(co){return _$f.has(co,"barycenter")}),no=ro.lhs,oo=_$f.sortBy(ro.rhs,function(co){return-co.i}),io=[],so=0,ao=0,lo=0;no.sort(compareWithBias(!!to)),lo=consumeUnsortable(io,oo,lo),_$f.forEach(no,function(co){lo+=co.vs.length,io.push(co.vs),so+=co.barycenter*co.weight,ao+=co.weight,lo=consumeUnsortable(io,oo,lo)});var uo={vs:_$f.flatten(io,!0)};return ao&&(uo.barycenter=so/ao,uo.weight=ao),uo}function consumeUnsortable(eo,to,ro){for(var no;to.length&&(no=_$f.last(to)).i<=ro;)to.pop(),eo.push(no.vs),ro++;return ro}function compareWithBias(eo){return function(to,ro){return to.barycenter<ro.barycenter?-1:to.barycenter>ro.barycenter?1:eo?ro.i-to.i:to.i-ro.i}}var _$e=lodash_1,barycenter=barycenter_1,resolveConflicts=resolveConflicts_1,sort=sort_1,sortSubgraph_1=sortSubgraph$1;function sortSubgraph$1(eo,to,ro,no){var oo=eo.children(to),io=eo.node(to),so=io?io.borderLeft:void 0,ao=io?io.borderRight:void 0,lo={};so&&(oo=_$e.filter(oo,function(go){return go!==so&&go!==ao}));var uo=barycenter(eo,oo);_$e.forEach(uo,function(go){if(eo.children(go.v).length){var vo=sortSubgraph$1(eo,go.v,ro,no);lo[go.v]=vo,_$e.has(vo,"barycenter")&&mergeBarycenters(go,vo)}});var co=resolveConflicts(uo,ro);expandSubgraphs(co,lo);var fo=sort(co,no);if(so&&(fo.vs=_$e.flatten([so,fo.vs,ao],!0),eo.predecessors(so).length)){var ho=eo.node(eo.predecessors(so)[0]),po=eo.node(eo.predecessors(ao)[0]);_$e.has(fo,"barycenter")||(fo.barycenter=0,fo.weight=0),fo.barycenter=(fo.barycenter*fo.weight+ho.order+po.order)/(fo.weight+2),fo.weight+=2}return fo}function expandSubgraphs(eo,to){_$e.forEach(eo,function(ro){ro.vs=_$e.flatten(ro.vs.map(function(no){return to[no]?to[no].vs:no}),!0)})}function mergeBarycenters(eo,to){_$e.isUndefined(eo.barycenter)?(eo.barycenter=to.barycenter,eo.weight=to.weight):(eo.barycenter=(eo.barycenter*eo.weight+to.barycenter*to.weight)/(eo.weight+to.weight),eo.weight+=to.weight)}var _$d=lodash_1,Graph$5=graphlib_1.Graph,buildLayerGraph_1=buildLayerGraph$1;function buildLayerGraph$1(eo,to,ro){var no=createRootNode(eo),oo=new Graph$5({compound:!0}).setGraph({root:no}).setDefaultNodeLabel(function(io){return eo.node(io)});return _$d.forEach(eo.nodes(),function(io){var so=eo.node(io),ao=eo.parent(io);(so.rank===to||so.minRank<=to&&to<=so.maxRank)&&(oo.setNode(io),oo.setParent(io,ao||no),_$d.forEach(eo[ro](io),function(lo){var uo=lo.v===io?lo.w:lo.v,co=oo.edge(uo,io),fo=_$d.isUndefined(co)?0:co.weight;oo.setEdge(uo,io,{weight:eo.edge(lo).weight+fo})}),_$d.has(so,"minRank")&&oo.setNode(io,{borderLeft:so.borderLeft[to],borderRight:so.borderRight[to]}))}),oo}function createRootNode(eo){for(var to;eo.hasNode(to=_$d.uniqueId("_root")););return to}var _$c=lodash_1,addSubgraphConstraints_1=addSubgraphConstraints$1;function addSubgraphConstraints$1(eo,to,ro){var no={},oo;_$c.forEach(ro,function(io){for(var so=eo.parent(io),ao,lo;so;){if(ao=eo.parent(so),ao?(lo=no[ao],no[ao]=so):(lo=oo,oo=so),lo&&lo!==so){to.setEdge(lo,so);return}so=ao}})}var _$b=lodash_1,initOrder=initOrder_1,crossCount=crossCount_1,sortSubgraph=sortSubgraph_1,buildLayerGraph=buildLayerGraph_1,addSubgraphConstraints=addSubgraphConstraints_1,Graph$4=graphlib_1.Graph,util$4=util$a,order_1=order$1;function order$1(eo){var to=util$4.maxRank(eo),ro=buildLayerGraphs(eo,_$b.range(1,to+1),"inEdges"),no=buildLayerGraphs(eo,_$b.range(to-1,-1,-1),"outEdges"),oo=initOrder(eo);assignOrder(eo,oo);for(var io=Number.POSITIVE_INFINITY,so,ao=0,lo=0;lo<4;++ao,++lo){sweepLayerGraphs(ao%2?ro:no,ao%4>=2),oo=util$4.buildLayerMatrix(eo);var uo=crossCount(eo,oo);uo<io&&(lo=0,so=_$b.cloneDeep(oo),io=uo)}assignOrder(eo,so)}function buildLayerGraphs(eo,to,ro){return _$b.map(to,function(no){return buildLayerGraph(eo,no,ro)})}function sweepLayerGraphs(eo,to){var ro=new Graph$4;_$b.forEach(eo,function(no){var oo=no.graph().root,io=sortSubgraph(no,oo,ro,to);_$b.forEach(io.vs,function(so,ao){no.node(so).order=ao}),addSubgraphConstraints(no,ro,io.vs)})}function assignOrder(eo,to){_$b.forEach(to,function(ro){_$b.forEach(ro,function(no,oo){eo.node(no).order=oo})})}var _$a=lodash_1,Graph$3=graphlib_1.Graph,util$3=util$a,bk={positionX:positionX$1,findType1Conflicts,findType2Conflicts,addConflict,hasConflict,verticalAlignment,horizontalCompaction,alignCoordinates,findSmallestWidthAlignment,balance};function findType1Conflicts(eo,to){var ro={};function no(oo,io){var so=0,ao=0,lo=oo.length,uo=_$a.last(io);return _$a.forEach(io,function(co,fo){var ho=findOtherInnerSegmentNode(eo,co),po=ho?eo.node(ho).order:lo;(ho||co===uo)&&(_$a.forEach(io.slice(ao,fo+1),function(go){_$a.forEach(eo.predecessors(go),function(vo){var bo=eo.node(vo),xo=bo.order;(xo<so||po<xo)&&!(bo.dummy&&eo.node(go).dummy)&&addConflict(ro,vo,go)})}),ao=fo+1,so=po)}),io}return _$a.reduce(to,no),ro}function findType2Conflicts(eo,to){var ro={};function no(io,so,ao,lo,uo){var co;_$a.forEach(_$a.range(so,ao),function(fo){co=io[fo],eo.node(co).dummy&&_$a.forEach(eo.predecessors(co),function(ho){var po=eo.node(ho);po.dummy&&(po.order<lo||po.order>uo)&&addConflict(ro,ho,co)})})}function oo(io,so){var ao=-1,lo,uo=0;return _$a.forEach(so,function(co,fo){if(eo.node(co).dummy==="border"){var ho=eo.predecessors(co);ho.length&&(lo=eo.node(ho[0]).order,no(so,uo,fo,ao,lo),uo=fo,ao=lo)}no(so,uo,so.length,lo,io.length)}),so}return _$a.reduce(to,oo),ro}function findOtherInnerSegmentNode(eo,to){if(eo.node(to).dummy)return _$a.find(eo.predecessors(to),function(ro){return eo.node(ro).dummy})}function addConflict(eo,to,ro){if(to>ro){var no=to;to=ro,ro=no}var oo=eo[to];oo||(eo[to]=oo={}),oo[ro]=!0}function hasConflict(eo,to,ro){if(to>ro){var no=to;to=ro,ro=no}return _$a.has(eo[to],ro)}function verticalAlignment(eo,to,ro,no){var oo={},io={},so={};return _$a.forEach(to,function(ao){_$a.forEach(ao,function(lo,uo){oo[lo]=lo,io[lo]=lo,so[lo]=uo})}),_$a.forEach(to,function(ao){var lo=-1;_$a.forEach(ao,function(uo){var co=no(uo);if(co.length){co=_$a.sortBy(co,function(vo){return so[vo]});for(var fo=(co.length-1)/2,ho=Math.floor(fo),po=Math.ceil(fo);ho<=po;++ho){var go=co[ho];io[uo]===uo&&lo<so[go]&&!hasConflict(ro,uo,go)&&(io[go]=uo,io[uo]=oo[uo]=oo[go],lo=so[go])}}})}),{root:oo,align:io}}function horizontalCompaction(eo,to,ro,no,oo){var io={},so=buildBlockGraph(eo,to,ro,oo),ao=oo?"borderLeft":"borderRight";function lo(fo,ho){for(var po=so.nodes(),go=po.pop(),vo={};go;)vo[go]?fo(go):(vo[go]=!0,po.push(go),po=po.concat(ho(go))),go=po.pop()}function uo(fo){io[fo]=so.inEdges(fo).reduce(function(ho,po){return Math.max(ho,io[po.v]+so.edge(po))},0)}function co(fo){var ho=so.outEdges(fo).reduce(function(go,vo){return Math.min(go,io[vo.w]-so.edge(vo))},Number.POSITIVE_INFINITY),po=eo.node(fo);ho!==Number.POSITIVE_INFINITY&&po.borderType!==ao&&(io[fo]=Math.max(io[fo],ho))}return lo(uo,so.predecessors.bind(so)),lo(co,so.successors.bind(so)),_$a.forEach(no,function(fo){io[fo]=io[ro[fo]]}),io}function buildBlockGraph(eo,to,ro,no){var oo=new Graph$3,io=eo.graph(),so=sep(io.nodesep,io.edgesep,no);return _$a.forEach(to,function(ao){var lo;_$a.forEach(ao,function(uo){var co=ro[uo];if(oo.setNode(co),lo){var fo=ro[lo],ho=oo.edge(fo,co);oo.setEdge(fo,co,Math.max(so(eo,uo,lo),ho||0))}lo=uo})}),oo}function findSmallestWidthAlignment(eo,to){return _$a.minBy(_$a.values(to),function(ro){var no=Number.NEGATIVE_INFINITY,oo=Number.POSITIVE_INFINITY;return _$a.forIn(ro,function(io,so){var ao=width(eo,so)/2;no=Math.max(io+ao,no),oo=Math.min(io-ao,oo)}),no-oo})}function alignCoordinates(eo,to){var ro=_$a.values(to),no=_$a.min(ro),oo=_$a.max(ro);_$a.forEach(["u","d"],function(io){_$a.forEach(["l","r"],function(so){var ao=io+so,lo=eo[ao],uo;if(lo!==to){var co=_$a.values(lo);uo=so==="l"?no-_$a.min(co):oo-_$a.max(co),uo&&(eo[ao]=_$a.mapValues(lo,function(fo){return fo+uo}))}})})}function balance(eo,to){return _$a.mapValues(eo.ul,function(ro,no){if(to)return eo[to.toLowerCase()][no];var oo=_$a.sortBy(_$a.map(eo,no));return(oo[1]+oo[2])/2})}function positionX$1(eo){var to=util$3.buildLayerMatrix(eo),ro=_$a.merge(findType1Conflicts(eo,to),findType2Conflicts(eo,to)),no={},oo;_$a.forEach(["u","d"],function(so){oo=so==="u"?to:_$a.values(to).reverse(),_$a.forEach(["l","r"],function(ao){ao==="r"&&(oo=_$a.map(oo,function(fo){return _$a.values(fo).reverse()}));var lo=(so==="u"?eo.predecessors:eo.successors).bind(eo),uo=verticalAlignment(eo,oo,ro,lo),co=horizontalCompaction(eo,oo,uo.root,uo.align,ao==="r");ao==="r"&&(co=_$a.mapValues(co,function(fo){return-fo})),no[so+ao]=co})});var io=findSmallestWidthAlignment(eo,no);return alignCoordinates(no,io),balance(no,eo.graph().align)}function sep(eo,to,ro){return function(no,oo,io){var so=no.node(oo),ao=no.node(io),lo=0,uo;if(lo+=so.width/2,_$a.has(so,"labelpos"))switch(so.labelpos.toLowerCase()){case"l":uo=-so.width/2;break;case"r":uo=so.width/2;break}if(uo&&(lo+=ro?uo:-uo),uo=0,lo+=(so.dummy?to:eo)/2,lo+=(ao.dummy?to:eo)/2,lo+=ao.width/2,_$a.has(ao,"labelpos"))switch(ao.labelpos.toLowerCase()){case"l":uo=ao.width/2;break;case"r":uo=-ao.width/2;break}return uo&&(lo+=ro?uo:-uo),uo=0,lo}}function width(eo,to){return eo.node(to).width}var _$9=lodash_1,util$2=util$a,positionX=bk.positionX,position_1=position$2;function position$2(eo){eo=util$2.asNonCompoundGraph(eo),positionY(eo),_$9.forEach(positionX(eo),function(to,ro){eo.node(ro).x=to})}function positionY(eo){var to=util$2.buildLayerMatrix(eo),ro=eo.graph().ranksep,no=0;_$9.forEach(to,function(oo){var io=_$9.max(_$9.map(oo,function(so){return eo.node(so).height}));_$9.forEach(oo,function(so){eo.node(so).y=no+io/2}),no+=io+ro})}var _$8=lodash_1,acyclic=acyclic$1,normalize=normalize$1,rank=rank_1,normalizeRanks=util$a.normalizeRanks,parentDummyChains=parentDummyChains_1,removeEmptyRanks=util$a.removeEmptyRanks,nestingGraph=nestingGraph$1,addBorderSegments=addBorderSegments_1,coordinateSystem=coordinateSystem$1,order=order_1,position$1=position_1,util$1=util$a,Graph$2=graphlib_1.Graph,layout_1=layout;function layout(eo,to){var ro=to&&to.debugTiming?util$1.time:util$1.notime;ro("layout",function(){var no=ro("  buildLayoutGraph",function(){return buildLayoutGraph(eo)});ro("  runLayout",function(){runLayout(no,ro)}),ro("  updateInputGraph",function(){updateInputGraph(eo,no)})})}function runLayout(eo,to){to("    makeSpaceForEdgeLabels",function(){makeSpaceForEdgeLabels(eo)}),to("    removeSelfEdges",function(){removeSelfEdges(eo)}),to("    acyclic",function(){acyclic.run(eo)}),to("    nestingGraph.run",function(){nestingGraph.run(eo)}),to("    rank",function(){rank(util$1.asNonCompoundGraph(eo))}),to("    injectEdgeLabelProxies",function(){injectEdgeLabelProxies(eo)}),to("    removeEmptyRanks",function(){removeEmptyRanks(eo)}),to("    nestingGraph.cleanup",function(){nestingGraph.cleanup(eo)}),to("    normalizeRanks",function(){normalizeRanks(eo)}),to("    assignRankMinMax",function(){assignRankMinMax(eo)}),to("    removeEdgeLabelProxies",function(){removeEdgeLabelProxies(eo)}),to("    normalize.run",function(){normalize.run(eo)}),to("    parentDummyChains",function(){parentDummyChains(eo)}),to("    addBorderSegments",function(){addBorderSegments(eo)}),to("    order",function(){order(eo)}),to("    insertSelfEdges",function(){insertSelfEdges(eo)}),to("    adjustCoordinateSystem",function(){coordinateSystem.adjust(eo)}),to("    position",function(){position$1(eo)}),to("    positionSelfEdges",function(){positionSelfEdges(eo)}),to("    removeBorderNodes",function(){removeBorderNodes(eo)}),to("    normalize.undo",function(){normalize.undo(eo)}),to("    fixupEdgeLabelCoords",function(){fixupEdgeLabelCoords(eo)}),to("    undoCoordinateSystem",function(){coordinateSystem.undo(eo)}),to("    translateGraph",function(){translateGraph(eo)}),to("    assignNodeIntersects",function(){assignNodeIntersects(eo)}),to("    reversePoints",function(){reversePointsForReversedEdges(eo)}),to("    acyclic.undo",function(){acyclic.undo(eo)})}function updateInputGraph(eo,to){_$8.forEach(eo.nodes(),function(ro){var no=eo.node(ro),oo=to.node(ro);no&&(no.x=oo.x,no.y=oo.y,to.children(ro).length&&(no.width=oo.width,no.height=oo.height))}),_$8.forEach(eo.edges(),function(ro){var no=eo.edge(ro),oo=to.edge(ro);no.points=oo.points,_$8.has(oo,"x")&&(no.x=oo.x,no.y=oo.y)}),eo.graph().width=to.graph().width,eo.graph().height=to.graph().height}var graphNumAttrs=["nodesep","edgesep","ranksep","marginx","marginy"],graphDefaults={ranksep:50,edgesep:20,nodesep:50,rankdir:"tb"},graphAttrs=["acyclicer","ranker","rankdir","align"],nodeNumAttrs=["width","height"],nodeDefaults={width:0,height:0},edgeNumAttrs=["minlen","weight","width","height","labeloffset"],edgeDefaults={minlen:1,weight:1,width:0,height:0,labeloffset:10,labelpos:"r"},edgeAttrs=["labelpos"];function buildLayoutGraph(eo){var to=new Graph$2({multigraph:!0,compound:!0}),ro=canonicalize(eo.graph());return to.setGraph(_$8.merge({},graphDefaults,selectNumberAttrs(ro,graphNumAttrs),_$8.pick(ro,graphAttrs))),_$8.forEach(eo.nodes(),function(no){var oo=canonicalize(eo.node(no));to.setNode(no,_$8.defaults(selectNumberAttrs(oo,nodeNumAttrs),nodeDefaults)),to.setParent(no,eo.parent(no))}),_$8.forEach(eo.edges(),function(no){var oo=canonicalize(eo.edge(no));to.setEdge(no,_$8.merge({},edgeDefaults,selectNumberAttrs(oo,edgeNumAttrs),_$8.pick(oo,edgeAttrs)))}),to}function makeSpaceForEdgeLabels(eo){var to=eo.graph();to.ranksep/=2,_$8.forEach(eo.edges(),function(ro){var no=eo.edge(ro);no.minlen*=2,no.labelpos.toLowerCase()!=="c"&&(to.rankdir==="TB"||to.rankdir==="BT"?no.width+=no.labeloffset:no.height+=no.labeloffset)})}function injectEdgeLabelProxies(eo){_$8.forEach(eo.edges(),function(to){var ro=eo.edge(to);if(ro.width&&ro.height){var no=eo.node(to.v),oo=eo.node(to.w),io={rank:(oo.rank-no.rank)/2+no.rank,e:to};util$1.addDummyNode(eo,"edge-proxy",io,"_ep")}})}function assignRankMinMax(eo){var to=0;_$8.forEach(eo.nodes(),function(ro){var no=eo.node(ro);no.borderTop&&(no.minRank=eo.node(no.borderTop).rank,no.maxRank=eo.node(no.borderBottom).rank,to=_$8.max(to,no.maxRank))}),eo.graph().maxRank=to}function removeEdgeLabelProxies(eo){_$8.forEach(eo.nodes(),function(to){var ro=eo.node(to);ro.dummy==="edge-proxy"&&(eo.edge(ro.e).labelRank=ro.rank,eo.removeNode(to))})}function translateGraph(eo){var to=Number.POSITIVE_INFINITY,ro=0,no=Number.POSITIVE_INFINITY,oo=0,io=eo.graph(),so=io.marginx||0,ao=io.marginy||0;function lo(uo){var co=uo.x,fo=uo.y,ho=uo.width,po=uo.height;to=Math.min(to,co-ho/2),ro=Math.max(ro,co+ho/2),no=Math.min(no,fo-po/2),oo=Math.max(oo,fo+po/2)}_$8.forEach(eo.nodes(),function(uo){lo(eo.node(uo))}),_$8.forEach(eo.edges(),function(uo){var co=eo.edge(uo);_$8.has(co,"x")&&lo(co)}),to-=so,no-=ao,_$8.forEach(eo.nodes(),function(uo){var co=eo.node(uo);co.x-=to,co.y-=no}),_$8.forEach(eo.edges(),function(uo){var co=eo.edge(uo);_$8.forEach(co.points,function(fo){fo.x-=to,fo.y-=no}),_$8.has(co,"x")&&(co.x-=to),_$8.has(co,"y")&&(co.y-=no)}),io.width=ro-to+so,io.height=oo-no+ao}function assignNodeIntersects(eo){_$8.forEach(eo.edges(),function(to){var ro=eo.edge(to),no=eo.node(to.v),oo=eo.node(to.w),io,so;ro.points?(io=ro.points[0],so=ro.points[ro.points.length-1]):(ro.points=[],io=oo,so=no),ro.points.unshift(util$1.intersectRect(no,io)),ro.points.push(util$1.intersectRect(oo,so))})}function fixupEdgeLabelCoords(eo){_$8.forEach(eo.edges(),function(to){var ro=eo.edge(to);if(_$8.has(ro,"x"))switch((ro.labelpos==="l"||ro.labelpos==="r")&&(ro.width-=ro.labeloffset),ro.labelpos){case"l":ro.x-=ro.width/2+ro.labeloffset;break;case"r":ro.x+=ro.width/2+ro.labeloffset;break}})}function reversePointsForReversedEdges(eo){_$8.forEach(eo.edges(),function(to){var ro=eo.edge(to);ro.reversed&&ro.points.reverse()})}function removeBorderNodes(eo){_$8.forEach(eo.nodes(),function(to){if(eo.children(to).length){var ro=eo.node(to),no=eo.node(ro.borderTop),oo=eo.node(ro.borderBottom),io=eo.node(_$8.last(ro.borderLeft)),so=eo.node(_$8.last(ro.borderRight));ro.width=Math.abs(so.x-io.x),ro.height=Math.abs(oo.y-no.y),ro.x=io.x+ro.width/2,ro.y=no.y+ro.height/2}}),_$8.forEach(eo.nodes(),function(to){eo.node(to).dummy==="border"&&eo.removeNode(to)})}function removeSelfEdges(eo){_$8.forEach(eo.edges(),function(to){if(to.v===to.w){var ro=eo.node(to.v);ro.selfEdges||(ro.selfEdges=[]),ro.selfEdges.push({e:to,label:eo.edge(to)}),eo.removeEdge(to)}})}function insertSelfEdges(eo){var to=util$1.buildLayerMatrix(eo);_$8.forEach(to,function(ro){var no=0;_$8.forEach(ro,function(oo,io){var so=eo.node(oo);so.order=io+no,_$8.forEach(so.selfEdges,function(ao){util$1.addDummyNode(eo,"selfedge",{width:ao.label.width,height:ao.label.height,rank:so.rank,order:io+ ++no,e:ao.e,label:ao.label},"_se")}),delete so.selfEdges})})}function positionSelfEdges(eo){_$8.forEach(eo.nodes(),function(to){var ro=eo.node(to);if(ro.dummy==="selfedge"){var no=eo.node(ro.e.v),oo=no.x+no.width/2,io=no.y,so=ro.x-oo,ao=no.height/2;eo.setEdge(ro.e,ro.label),eo.removeNode(to),ro.label.points=[{x:oo+2*so/3,y:io-ao},{x:oo+5*so/6,y:io-ao},{x:oo+so,y:io},{x:oo+5*so/6,y:io+ao},{x:oo+2*so/3,y:io+ao}],ro.label.x=ro.x,ro.label.y=ro.y}})}function selectNumberAttrs(eo,to){return _$8.mapValues(_$8.pick(eo,to),Number)}function canonicalize(eo){var to={};return _$8.forEach(eo,function(ro,no){to[no.toLowerCase()]=ro}),to}var _$7=lodash_1,util=util$a,Graph$1=graphlib_1.Graph,debug={debugOrdering};function debugOrdering(eo){var to=util.buildLayerMatrix(eo),ro=new Graph$1({compound:!0,multigraph:!0}).setGraph({});return _$7.forEach(eo.nodes(),function(no){ro.setNode(no,{label:no}),ro.setParent(no,"layer"+eo.node(no).rank)}),_$7.forEach(eo.edges(),function(no){ro.setEdge(no.v,no.w,{},no.name)}),_$7.forEach(to,function(no,oo){var io="layer"+oo;ro.setNode(io,{rank:"same"}),_$7.reduce(no,function(so,ao){return 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oo=eo[to+1];autoPrefixNames$1[no]&&(ro.isWebkit&&eo.push("-webkit-"+no,oo),ro.isMoz&&eo.push("-moz-"+no,oo),ro.isMs&&eo.push("-ms-"+no,oo),ro.isOpera&&eo.push("-o-"+no,oo))}}var NON_PIXEL_NUMBER_PROPS$1=["column-count","font-weight","flex","flex-grow","flex-shrink","fill-opacity","opacity","order","z-index","zoom"];function provideUnits$1(eo,to){var ro=eo[to],no=eo[to+1];if(typeof no=="number"){var oo=NON_PIXEL_NUMBER_PROPS$1.indexOf(ro)>-1,io=ro.indexOf("--")>-1,so=oo||io?"":"px";eo[to+1]="".concat(no).concat(so)}}var _a$a,LEFT$1="left",RIGHT$1="right",NO_FLIP$1="@noflip",NAME_REPLACEMENTS$1=(_a$a={},_a$a[LEFT$1]=RIGHT$1,_a$a[RIGHT$1]=LEFT$1,_a$a),VALUE_REPLACEMENTS$1={"w-resize":"e-resize","sw-resize":"se-resize","nw-resize":"ne-resize"};function rtlifyRules$1(eo,to,ro){if(eo.rtl){var no=to[ro];if(!no)return;var oo=to[ro+1];if(typeof oo=="string"&&oo.indexOf(NO_FLIP$1)>=0)to[ro+1]=oo.replace(/\s*(?:\/\*\s*)?\@noflip\b(?:\s*\*\/)?\s*?/g,"");else if(no.indexOf(LEFT$1)>=0)to[ro]=no.replace(LEFT$1,RIGHT$1);else if(no.indexOf(RIGHT$1)>=0)to[ro]=no.replace(RIGHT$1,LEFT$1);else if(String(oo).indexOf(LEFT$1)>=0)to[ro+1]=oo.replace(LEFT$1,RIGHT$1);else if(String(oo).indexOf(RIGHT$1)>=0)to[ro+1]=oo.replace(RIGHT$1,LEFT$1);else if(NAME_REPLACEMENTS$1[no])to[ro]=NAME_REPLACEMENTS$1[no];else if(VALUE_REPLACEMENTS$1[oo])to[ro+1]=VALUE_REPLACEMENTS$1[oo];else switch(no){case"margin":case"padding":to[ro+1]=flipQuad$1(oo);break;case"box-shadow":to[ro+1]=negateNum$1(oo,0);break}}}function negateNum$1(eo,to){var ro=eo.split(" "),no=parseInt(ro[to],10);return ro[0]=ro[0].replace(String(no),String(no*-1)),ro.join(" ")}function flipQuad$1(eo){if(typeof eo=="string"){var to=eo.split(" ");if(to.length===4)return"".concat(to[0]," ").concat(to[3]," ").concat(to[2]," ").concat(to[1])}return eo}function tokenizeWithParentheses$1(eo){for(var to=[],ro=0,no=0,oo=0;oo<eo.length;oo++)switch(eo[oo]){case"(":no++;break;case")":no&&no--;break;case"	":case" ":no||(oo>ro&&to.push(eo.substring(ro,oo)),ro=oo+1);break}return ro<eo.length&&to.push(eo.substring(ro)),to}var DISPLAY_NAME$1="displayName";function getDisplayName$3(eo){var to=eo&&eo["&"];return to?to.displayName:void 0}var globalSelectorRegExp$1=/\:global\((.+?)\)/g;function expandCommaSeparatedGlobals$1(eo){if(!globalSelectorRegExp$1.test(eo))return eo;for(var to=[],ro=/\:global\((.+?)\)/g,no=null;no=ro.exec(eo);)no[1].indexOf(",")>-1&&to.push([no.index,no.index+no[0].length,no[1].split(",").map(function(oo){return":global(".concat(oo.trim(),")")}).join(", ")]);return to.reverse().reduce(function(oo,io){var so=io[0],ao=io[1],lo=io[2],uo=oo.slice(0,so),co=oo.slice(ao);return uo+lo+co},eo)}function expandSelector$1(eo,to){return eo.indexOf(":global(")>=0?eo.replace(globalSelectorRegExp$1,"$1"):eo.indexOf(":")===0?to+eo:eo.indexOf("&")<0?to+" "+eo:eo}function extractSelector$1(eo,to,ro,no){to===void 0&&(to={__order:[]}),ro.indexOf("@")===0?(ro=ro+"{"+eo,extractRules$1([no],to,ro)):ro.indexOf(",")>-1?expandCommaSeparatedGlobals$1(ro).split(",").map(function(oo){return oo.trim()}).forEach(function(oo){return extractRules$1([no],to,expandSelector$1(oo,eo))}):extractRules$1([no],to,expandSelector$1(ro,eo))}function extractRules$1(eo,to,ro){to===void 0&&(to={__order:[]}),ro===void 0&&(ro="&");var no=Stylesheet$1.getInstance(),oo=to[ro];oo||(oo={},to[ro]=oo,to.__order.push(ro));for(var io=0,so=eo;io<so.length;io++){var ao=so[io];if(typeof ao=="string"){var lo=no.argsFromClassName(ao);lo&&extractRules$1(lo,to,ro)}else if(Array.isArray(ao))extractRules$1(ao,to,ro);else for(var uo in ao)if(ao.hasOwnProperty(uo)){var co=ao[uo];if(uo==="selectors"){var fo=ao.selectors;for(var ho in fo)fo.hasOwnProperty(ho)&&extractSelector$1(ro,to,ho,fo[ho])}else typeof co=="object"?co!==null&&extractSelector$1(ro,to,uo,co):co!==void 0&&(uo==="margin"||uo==="padding"?expandQuads$1(oo,uo,co):oo[uo]=co)}}return to}function expandQuads$1(eo,to,ro){var no=typeof ro=="string"?tokenizeWithParentheses$1(ro):[ro];no.length===0&&no.push(ro),no[no.length-1]==="!important"&&(no=no.slice(0,-1).map(function(oo){return oo+" !important"})),eo[to+"Top"]=no[0],eo[to+"Right"]=no[1]||no[0],eo[to+"Bottom"]=no[2]||no[0],eo[to+"Left"]=no[3]||no[1]||no[0]}function getKeyForRules$1(eo,to){for(var ro=[eo.rtl?"rtl":"ltr"],no=!1,oo=0,io=to.__order;oo<io.length;oo++){var so=io[oo];ro.push(so);var ao=to[so];for(var lo in ao)ao.hasOwnProperty(lo)&&ao[lo]!==void 0&&(no=!0,ro.push(lo,ao[lo]))}return no?ro.join(""):void 0}function repeatString$1(eo,to){return to<=0?"":to===1?eo:eo+repeatString$1(eo,to-1)}function serializeRuleEntries$1(eo,to){if(!to)return"";var ro=[];for(var no in to)to.hasOwnProperty(no)&&no!==DISPLAY_NAME$1&&to[no]!==void 0&&ro.push(no,to[no]);for(var oo=0;oo<ro.length;oo+=2)kebabRules$1(ro,oo),provideUnits$1(ro,oo),rtlifyRules$1(eo,ro,oo),prefixRules$1(ro,oo);for(var oo=1;oo<ro.length;oo+=4)ro.splice(oo,1,":",ro[oo],";");return ro.join("")}function styleToRegistration$1(eo){for(var to=[],ro=1;ro<arguments.length;ro++)to[ro-1]=arguments[ro];var no=extractRules$1(to),oo=getKeyForRules$1(eo,no);if(oo){var io=Stylesheet$1.getInstance(),so={className:io.classNameFromKey(oo),key:oo,args:to};if(!so.className){so.className=io.getClassName(getDisplayName$3(no));for(var ao=[],lo=0,uo=no.__order;lo<uo.length;lo++){var co=uo[lo];ao.push(co,serializeRuleEntries$1(eo,no[co]))}so.rulesToInsert=ao}return so}}function applyRegistration$1(eo,to){to===void 0&&(to=1);var ro=Stylesheet$1.getInstance(),no=eo.className,oo=eo.key,io=eo.args,so=eo.rulesToInsert;if(so){for(var ao=0;ao<so.length;ao+=2){var lo=so[ao+1];if(lo){var uo=so[ao];uo=uo.replace(/&/g,repeatString$1(".".concat(eo.className),to));var co="".concat(uo,"{").concat(lo,"}").concat(uo.indexOf("@")===0?"}":"");ro.insertRule(co)}}ro.cacheClassName(no,oo,io,so)}}function styleToClassName$1(eo){for(var to=[],ro=1;ro<arguments.length;ro++)to[ro-1]=arguments[ro];var no=styleToRegistration$1.apply(void 0,__spreadArray$1([eo],to,!1));return no?(applyRegistration$1(no,eo.specificityMultiplier),no.className):""}function mergeStyles$1(){for(var eo=[],to=0;to<arguments.length;to++)eo[to]=arguments[to];return mergeCss$1(eo,getStyleOptions$1())}function mergeCss$1(eo,to){var ro=eo instanceof Array?eo:[eo],no=extractStyleParts$1(ro),oo=no.classes,io=no.objects;return io.length&&oo.push(styleToClassName$1(to||{},io)),oo.join(" ")}function concatStyleSets(){for(var eo=[],to=0;to<arguments.length;to++)eo[to]=arguments[to];if(eo&&eo.length===1&&eo[0]&&!eo[0].subComponentStyles)return eo[0];for(var ro={},no={},oo=0,io=eo;oo<io.length;oo++){var so=io[oo];if(so){for(var ao in so)if(so.hasOwnProperty(ao)){if(ao==="subComponentStyles"&&so.subComponentStyles!==void 0){var lo=so.subComponentStyles;for(var uo in lo)lo.hasOwnProperty(uo)&&(no.hasOwnProperty(uo)?no[uo].push(lo[uo]):no[uo]=[lo[uo]]);continue}var co=ro[ao],fo=so[ao];co===void 0?ro[ao]=fo:ro[ao]=__spreadArray$1(__spreadArray$1([],Array.isArray(co)?co:[co],!0),Array.isArray(fo)?fo:[fo],!0)}}}if(Object.keys(no).length>0){ro.subComponentStyles={};var ho=ro.subComponentStyles,po=function(go){if(no.hasOwnProperty(go)){var vo=no[go];ho[go]=function(bo){return concatStyleSets.apply(void 0,vo.map(function(xo){return typeof xo=="function"?xo(bo):xo}))}}};for(var uo in no)po(uo)}return ro}function mergeStyleSets(){for(var eo=[],to=0;to<arguments.length;to++)eo[to]=arguments[to];return mergeCssSets(eo,getStyleOptions$1())}function mergeCssSets(eo,to){var ro={subComponentStyles:{}},no=eo[0];if(!no&&eo.length<=1)return{subComponentStyles:{}};var oo=concatStyleSets.apply(void 0,eo),io=[];for(var so in oo)if(oo.hasOwnProperty(so)){if(so==="subComponentStyles"){ro.subComponentStyles=oo.subComponentStyles||{};continue}var ao=oo[so],lo=extractStyleParts$1(ao),uo=lo.classes,co=lo.objects;if(co!=null&&co.length){var fo=styleToRegistration$1(to||{},{displayName:so},co);fo&&(io.push(fo),ro[so]=uo.concat([fo.className]).join(" "))}else ro[so]=uo.join(" ")}for(var ho=0,po=io;ho<po.length;ho++){var fo=po[ho];fo&&applyRegistration$1(fo,to==null?void 0:to.specificityMultiplier)}return ro}function concatStyleSetsWithProps(eo){for(var to=[],ro=1;ro<arguments.length;ro++)to[ro-1]=arguments[ro];for(var no=[],oo=0,io=to;oo<io.length;oo++){var so=io[oo];so&&no.push(typeof so=="function"?so(eo):so)}return no.length===1?no[0]:no.length?concatStyleSets.apply(void 0,no):{}}function fontFace(eo){var to=Stylesheet$1.getInstance(),ro=serializeRuleEntries$1(getStyleOptions$1(),eo),no=to.classNameFromKey(ro);if(!no){var oo=to.getClassName();to.insertRule("@font-face{".concat(ro,"}"),!0),to.cacheClassName(oo,ro,[],["font-face",ro])}}function keyframes(eo){var to=Stylesheet$1.getInstance(),ro=[];for(var no in eo)eo.hasOwnProperty(no)&&ro.push(no,"{",serializeRuleEntries$1(getStyleOptions$1(),eo[no]),"}");var oo=ro.join(""),io=to.classNameFromKey(oo);if(io)return io;var so=to.getClassName();return to.insertRule("@keyframes ".concat(so,"{").concat(oo,"}"),!0),to.cacheClassName(so,oo,[],["keyframes",oo]),so}function buildClassMap(eo){var to={},ro=function(oo){if(eo.hasOwnProperty(oo)){var io;Object.defineProperty(to,oo,{get:function(){return io===void 0&&(io=mergeStyles$1(eo[oo]).toString()),io},enumerable:!0,configurable:!0})}};for(var no in eo)ro(no);return to}function canUseDOM$2(){return typeof window<"u"&&!!(window.document&&window.document.createElement)}var _window=void 0;try{_window=window}catch{}function getWindow(eo){if(!(!canUseDOM$2()||typeof _window>"u")){var to=eo;return to&&to.ownerDocument&&to.ownerDocument.defaultView?to.ownerDocument.defaultView:_window}}var Async=function(){function eo(to,ro){this._timeoutIds=null,this._immediateIds=null,this._intervalIds=null,this._animationFrameIds=null,this._isDisposed=!1,this._parent=to||null,this._onErrorHandler=ro,this._noop=function(){}}return eo.prototype.dispose=function(){var to;if(this._isDisposed=!0,this._parent=null,this._timeoutIds){for(to in this._timeoutIds)this._timeoutIds.hasOwnProperty(to)&&this.clearTimeout(parseInt(to,10));this._timeoutIds=null}if(this._immediateIds){for(to in this._immediateIds)this._immediateIds.hasOwnProperty(to)&&this.clearImmediate(parseInt(to,10));this._immediateIds=null}if(this._intervalIds){for(to in this._intervalIds)this._intervalIds.hasOwnProperty(to)&&this.clearInterval(parseInt(to,10));this._intervalIds=null}if(this._animationFrameIds){for(to in 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go=[],vo=0;vo<arguments.length;vo++)go[vo]=arguments[vo];return co=go,ho(!0)};return po},eo.prototype.debounce=function(to,ro,no){var oo=this;if(this._isDisposed){var io=function(){};return io.cancel=function(){},io.flush=function(){return null},io.pending=function(){return!1},io}var so=ro||0,ao=!1,lo=!0,uo=null,co=0,fo=Date.now(),ho,po,go=null;no&&typeof no.leading=="boolean"&&(ao=no.leading),no&&typeof no.trailing=="boolean"&&(lo=no.trailing),no&&typeof no.maxWait=="number"&&!isNaN(no.maxWait)&&(uo=no.maxWait);var vo=function(wo){go&&(oo.clearTimeout(go),go=null),fo=wo},bo=function(wo){vo(wo),ho=to.apply(oo._parent,po)},xo=function(wo){var Co=Date.now(),Oo=!1;wo&&(ao&&Co-co>=so&&(Oo=!0),co=Co);var Ao=Co-co,Ro=so-Ao,No=Co-fo,Mo=!1;return uo!==null&&(No>=uo&&go?Mo=!0:Ro=Math.min(Ro,uo-No)),Ao>=so||Mo||Oo?bo(Co):(go===null||!wo)&&lo&&(go=oo.setTimeout(xo,Ro)),ho},_o=function(){return!!go},Eo=function(){_o()&&vo(Date.now())},So=function(){return _o()&&bo(Date.now()),ho},To=function(){for(var wo=[],Co=0;Co<arguments.length;Co++)wo[Co]=arguments[Co];return po=wo,xo(!0)};return To.cancel=Eo,To.flush=So,To.pending=_o,To},eo.prototype.requestAnimationFrame=function(to,ro){var no=this,oo=0,io=getWindow(ro);if(!this._isDisposed){this._animationFrameIds||(this._animationFrameIds={});var so=function(){try{no._animationFrameIds&&delete no._animationFrameIds[oo],to.apply(no._parent)}catch(ao){no._logError(ao)}};oo=io.requestAnimationFrame?io.requestAnimationFrame(so):io.setTimeout(so,0),this._animationFrameIds[oo]=!0}return oo},eo.prototype.cancelAnimationFrame=function(to,ro){var no=getWindow(ro);this._animationFrameIds&&this._animationFrameIds[to]&&(no.cancelAnimationFrame?no.cancelAnimationFrame(to):no.clearTimeout(to),delete this._animationFrameIds[to])},eo.prototype._logError=function(to){this._onErrorHandler&&this._onErrorHandler(to)},eo}();function shallowCompare(eo,to){if(!eo||!to)return!eo&&!to;for(var ro in eo)if(eo.hasOwnProperty(ro)&&(!to.hasOwnProperty(ro)||to[ro]!==eo[ro]))return!1;for(var ro in to)if(to.hasOwnProperty(ro)&&!eo.hasOwnProperty(ro))return!1;return!0}function assign$2(eo){for(var to=[],ro=1;ro<arguments.length;ro++)to[ro-1]=arguments[ro];return filteredAssign.apply(this,[null,eo].concat(to))}function filteredAssign(eo,to){for(var ro=[],no=2;no<arguments.length;no++)ro[no-2]=arguments[no];to=to||{};for(var oo=0,io=ro;oo<io.length;oo++){var so=io[oo];if(so)for(var ao in so)so.hasOwnProperty(ao)&&(!eo||eo(ao))&&(to[ao]=so[ao])}return to}var EventGroup=function(){function eo(to){this._id=eo._uniqueId++,this._parent=to,this._eventRecords=[]}return eo.raise=function(to,ro,no,oo){var io;if(eo._isElement(to)){if(typeof document<"u"&&document.createEvent){var so=document.createEvent("HTMLEvents");so.initEvent(ro,oo||!1,!0),assign$2(so,no),io=to.dispatchEvent(so)}else if(typeof document<"u"&&document.createEventObject){var ao=document.createEventObject(no);to.fireEvent("on"+ro,ao)}}else for(;to&&io!==!1;){var lo=to.__events__,uo=lo?lo[ro]:null;if(uo){for(var co in uo)if(uo.hasOwnProperty(co))for(var fo=uo[co],ho=0;io!==!1&&ho<fo.length;ho++){var po=fo[ho];po.objectCallback&&(io=po.objectCallback.call(po.parent,no))}}to=oo?to.parent:null}return io},eo.isObserved=function(to,ro){var no=to&&to.__events__;return!!no&&!!no[ro]},eo.isDeclared=function(to,ro){var no=to&&to.__declaredEvents;return!!no&&!!no[ro]},eo.stopPropagation=function(to){to.stopPropagation?to.stopPropagation():to.cancelBubble=!0},eo._isElement=function(to){return!!to&&(!!to.addEventListener||typeof HTMLElement<"u"&&to instanceof HTMLElement)},eo.prototype.dispose=function(){this._isDisposed||(this._isDisposed=!0,this.off(),this._parent=null)},eo.prototype.onAll=function(to,ro,no){for(var oo in ro)ro.hasOwnProperty(oo)&&this.on(to,oo,ro[oo],no)},eo.prototype.on=function(to,ro,no,oo){var io=this;if(ro.indexOf(",")>-1)for(var so=ro.split(/[ 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no=Stylesheet$1.getInstance();no&&no.onReset&&Stylesheet$1.getInstance().onReset(resetMemoizations),_initializedStylesheetResets$1=!0}var oo,io=0,so=_resetCounter;return function(){for(var lo=[],uo=0;uo<arguments.length;uo++)lo[uo]=arguments[uo];var co=oo;(oo===void 0||so!==_resetCounter||to>0&&io>to)&&(oo=_createNode(),io=0,so=_resetCounter),co=oo;for(var fo=0;fo<lo.length;fo++){var ho=_normalizeArg(lo[fo]);co.map.has(ho)||co.map.set(ho,_createNode()),co=co.map.get(ho)}return co.hasOwnProperty("value")||(co.value=eo.apply(void 0,lo),io++),ro&&(co.value===null||co.value===void 0)&&(co.value=eo.apply(void 0,lo)),co.value}}function createMemoizer(eo){if(!_weakMap)return eo;var to=new _weakMap;function ro(no){if(!no||typeof no!="function"&&typeof no!="object")return eo(no);if(to.has(no))return to.get(no);var oo=eo(no);return to.set(no,oo),oo}return ro}function _normalizeArg(eo){if(eo){if(typeof eo=="object"||typeof eo=="function")return eo;_dictionary[eo]||(_dictionary[eo]={val:eo})}else 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io)io[so]&&ro.push(so)}return ro.join(" ")}var CustomizationsGlobalKey="customizations",NO_CUSTOMIZATIONS={settings:{},scopedSettings:{},inCustomizerContext:!1},_allSettings=GlobalSettings.getValue(CustomizationsGlobalKey,{settings:{},scopedSettings:{},inCustomizerContext:!1}),_events=[],Customizations=function(){function eo(){}return eo.reset=function(){_allSettings.settings={},_allSettings.scopedSettings={}},eo.applySettings=function(to){_allSettings.settings=__assign$4(__assign$4({},_allSettings.settings),to),eo._raiseChange()},eo.applyScopedSettings=function(to,ro){_allSettings.scopedSettings[to]=__assign$4(__assign$4({},_allSettings.scopedSettings[to]),ro),eo._raiseChange()},eo.getSettings=function(to,ro,no){no===void 0&&(no=NO_CUSTOMIZATIONS);for(var oo={},io=ro&&no.scopedSettings[ro]||{},so=ro&&_allSettings.scopedSettings[ro]||{},ao=0,lo=to;ao<lo.length;ao++){var uo=lo[ao];oo[uo]=io[uo]||no.settings[uo]||so[uo]||_allSettings.settings[uo]}return oo},eo.applyBatchedUpdates=function(to,ro){eo._suppressUpdates=!0;try{to()}catch{}eo._suppressUpdates=!1,ro||eo._raiseChange()},eo.observe=function(to){_events.push(to)},eo.unobserve=function(to){_events=_events.filter(function(ro){return ro!==to})},eo._raiseChange=function(){eo._suppressUpdates||_events.forEach(function(to){return to()})},eo}(),CustomizerContext=reactExports.createContext({customizations:{inCustomizerContext:!1,settings:{},scopedSettings:{}}});function mergeSettings(eo,to){eo===void 0&&(eo={});var ro=_isSettingsFunction(to)?to:_settingsMergeWith(to);return ro(eo)}function mergeScopedSettings(eo,to){eo===void 0&&(eo={});var ro=_isSettingsFunction(to)?to:_scopedSettingsMergeWith(to);return ro(eo)}function _isSettingsFunction(eo){return typeof eo=="function"}function _settingsMergeWith(eo){return function(to){return eo?__assign$4(__assign$4({},to),eo):to}}function _scopedSettingsMergeWith(eo){return eo===void 0&&(eo={}),function(to){var ro=__assign$4({},to);for(var no in eo)eo.hasOwnProperty(no)&&(ro[no]=__assign$4(__assign$4({},to[no]),eo[no]));return ro}}function mergeCustomizations(eo,to){var ro=(to||{}).customizations,no=ro===void 0?{settings:{},scopedSettings:{}}:ro;return{customizations:{settings:mergeSettings(no.settings,eo.settings),scopedSettings:mergeScopedSettings(no.scopedSettings,eo.scopedSettings),inCustomizerContext:!0}}}var Customizer=function(eo){__extends$3(to,eo);function to(){var ro=eo!==null&&eo.apply(this,arguments)||this;return ro._onCustomizationChange=function(){return ro.forceUpdate()},ro}return to.prototype.componentDidMount=function(){Customizations.observe(this._onCustomizationChange)},to.prototype.componentWillUnmount=function(){Customizations.unobserve(this._onCustomizationChange)},to.prototype.render=function(){var ro=this,no=this.props.contextTransform;return reactExports.createElement(CustomizerContext.Consumer,null,function(oo){var io=mergeCustomizations(ro.props,oo);return no&&(io=no(io)),reactExports.createElement(CustomizerContext.Provider,{value:io},ro.props.children)})},to}(reactExports.Component);function useCustomizationSettings(eo,to){var ro=useForceUpdate(),no=reactExports.useContext(CustomizerContext).customizations,oo=no.inCustomizerContext;return reactExports.useEffect(function(){return oo||Customizations.observe(ro),function(){oo||Customizations.unobserve(ro)}},[oo]),Customizations.getSettings(eo,to,no)}function useForceUpdate(){var eo=reactExports.useState(0),to=eo[1];return function(){return to(function(ro){return++ro})}}function extendComponent(eo,to){for(var ro in to)to.hasOwnProperty(ro)&&(eo[ro]=appendFunction(eo,eo[ro],to[ro]))}var CURRENT_ID_PROPERTY="__currentId__",DEFAULT_ID_STRING="id__",_global$1=getWindow()||{};_global$1[CURRENT_ID_PROPERTY]===void 0&&(_global$1[CURRENT_ID_PROPERTY]=0);var _initializedStylesheetResets=!1;function getId(eo){if(!_initializedStylesheetResets){var to=Stylesheet$1.getInstance();to&&to.onReset&&to.onReset(resetIds),_initializedStylesheetResets=!0}var ro=_global$1[CURRENT_ID_PROPERTY]++;return(eo===void 0?DEFAULT_ID_STRING:eo)+ro}function resetIds(eo){eo===void 0&&(eo=0),_global$1[CURRENT_ID_PROPERTY]=eo}var toObjectMap=function(){for(var eo=[],to=0;to<arguments.length;to++)eo[to]=arguments[to];for(var ro={},no=0,oo=eo;no<oo.length;no++)for(var io=oo[no],so=Array.isArray(io)?io:Object.keys(io),ao=0,lo=so;ao<lo.length;ao++){var uo=lo[ao];ro[uo]=1}return ro},baseElementEvents=toObjectMap(["onCopy","onCut","onPaste","onCompositionEnd","onCompositionStart","onCompositionUpdate","onFocus","onFocusCapture","onBlur","onBlurCapture","onChange","onInput","onSubmit","onLoad","onError","onKeyDown","onKeyDownCapture","onKeyPress","onKeyUp","onAbort","onCanPlay","onCanPlayThrough","onDurationChange","onEmptied","onEncrypted","onEnded","onLoadedData","onLoadedMetadata","onLoadStart","onPause","onPlay","onPlaying","onProgress","onRateChange","onSeeked","onSeeking","onStalled","onSuspend","onTimeUpdate","onVolumeChange","onWaiting","onClick","onClickCapture","onContextMenu","onDoubleClick","onDrag","onDragEnd","onDragEnter","onDragExit","onDragLeave","onDragOver","onDragStart","onDrop","onMouseDown","onMouseDownCapture","onMouseEnter","onMouseLeave","onMouseMove","onMouseOut","onMouseOver","onMouseUp","onMouseUpCapture","onSelect","onTouchCancel","onTouchEnd","onTouchMove","onTouchStart","onScroll","onWheel","onPointerCancel","onPointerDown","onPointerEnter","onPointerLeave","onPointerMove","onPointerOut","onPointerOver","onPointerUp","onGotPointerCapture","onLostPointerCapture"]),baseElementProperties=toObjectMap(["accessKey","children","className","contentEditable","dir","draggable","hidden","htmlFor","id","lang","ref","role","style","tabIndex","title","translate","spellCheck","name"]),htmlElementProperties=toObjectMap(baseElementProperties,baseElementEvents);toObjectMap(htmlElementProperties,["form"]);var audioProperties=toObjectMap(htmlElementProperties,["height","loop","muted","preload","src","width"]);toObjectMap(audioProperties,["poster"]);toObjectMap(htmlElementProperties,["start"]);toObjectMap(htmlElementProperties,["value"]);var anchorProperties=toObjectMap(htmlElementProperties,["download","href","hrefLang","media","rel","target","type"]),buttonProperties=toObjectMap(htmlElementProperties,["autoFocus","disabled","form","formAction","formEncType","formMethod","formNoValidate","formTarget","type","value"]);toObjectMap(buttonProperties,["accept","alt","autoCapitalize","autoComplete","checked","dirname","form","height","inputMode","list","max","maxLength","min","minLength","multiple","pattern","placeholder","readOnly","required","src","step","size","type","value","width"]);toObjectMap(buttonProperties,["autoCapitalize","cols","dirname","form","maxLength","minLength","placeholder","readOnly","required","rows","wrap"]);toObjectMap(buttonProperties,["form","multiple","required"]);toObjectMap(htmlElementProperties,["selected","value"]);toObjectMap(htmlElementProperties,["cellPadding","cellSpacing"]);toObjectMap(htmlElementProperties,["rowSpan","scope"]);toObjectMap(htmlElementProperties,["colSpan","headers","rowSpan","scope"]);toObjectMap(htmlElementProperties,["span"]);toObjectMap(htmlElementProperties,["span"]);toObjectMap(htmlElementProperties,["acceptCharset","action","encType","encType","method","noValidate","target"]);toObjectMap(htmlElementProperties,["allow","allowFullScreen","allowPaymentRequest","allowTransparency","csp","height","importance","referrerPolicy","sandbox","src","srcDoc","width"]);var imgProperties=toObjectMap(htmlElementProperties,["alt","crossOrigin","height","src","srcSet","useMap","width"]),divProperties=htmlElementProperties;function getNativeProps(eo,to,ro){for(var no=Array.isArray(to),oo={},io=Object.keys(eo),so=0,ao=io;so<ao.length;so++){var lo=ao[so],uo=!no&&to[lo]||no&&to.indexOf(lo)>=0||lo.indexOf("data-")===0||lo.indexOf("aria-")===0;uo&&(!ro||(ro==null?void 0:ro.indexOf(lo))===-1)&&(oo[lo]=eo[lo])}return oo}function initializeComponentRef(eo){extendComponent(eo,{componentDidMount:_onMount,componentDidUpdate:_onUpdate,componentWillUnmount:_onUnmount})}function _onMount(){_setComponentRef(this.props.componentRef,this)}function _onUpdate(eo){eo.componentRef!==this.props.componentRef&&(_setComponentRef(eo.componentRef,null),_setComponentRef(this.props.componentRef,this))}function _onUnmount(){_setComponentRef(this.props.componentRef,null)}function _setComponentRef(eo,to){eo&&(typeof eo=="object"?eo.current=to:typeof eo=="function"&&eo(to))}var _a$9,DirectionalKeyCodes=(_a$9={},_a$9[KeyCodes$1.up]=1,_a$9[KeyCodes$1.down]=1,_a$9[KeyCodes$1.left]=1,_a$9[KeyCodes$1.right]=1,_a$9[KeyCodes$1.home]=1,_a$9[KeyCodes$1.end]=1,_a$9[KeyCodes$1.tab]=1,_a$9[KeyCodes$1.pageUp]=1,_a$9[KeyCodes$1.pageDown]=1,_a$9);function isDirectionalKeyCode(eo){return!!DirectionalKeyCodes[eo]}var IsFocusVisibleClassName="ms-Fabric--isFocusVisible",IsFocusHiddenClassName="ms-Fabric--isFocusHidden";function updateClassList(eo,to){eo&&(eo.classList.add(to?IsFocusVisibleClassName:IsFocusHiddenClassName),eo.classList.remove(to?IsFocusHiddenClassName:IsFocusVisibleClassName))}function setFocusVisibility(eo,to,ro){var no;ro?ro.forEach(function(oo){return updateClassList(oo.current,eo)}):updateClassList((no=getWindow(to))===null||no===void 0?void 0:no.document.body,eo)}var mountCounters=new WeakMap,callbackMap=new WeakMap;function setMountCounters(eo,to){var ro,no=mountCounters.get(eo);return no?ro=no+to:ro=1,mountCounters.set(eo,ro),ro}function setCallbackMap(eo){var to=callbackMap.get(eo);if(to)return to;var ro=function(so){return _onMouseDown(so,eo.registeredProviders)},no=function(so){return _onPointerDown(so,eo.registeredProviders)},oo=function(so){return _onKeyDown(so,eo.registeredProviders)},io=function(so){return _onKeyUp(so,eo.registeredProviders)};return to={onMouseDown:ro,onPointerDown:no,onKeyDown:oo,onKeyUp:io},callbackMap.set(eo,to),to}var FocusRectsContext=reactExports.createContext(void 0);function useFocusRects(eo){var to=reactExports.useContext(FocusRectsContext);reactExports.useEffect(function(){var ro,no,oo,io,so=getWindow(eo==null?void 0:eo.current);if(!(!so||((ro=so.FabricConfig)===null||ro===void 0?void 0:ro.disableFocusRects)===!0)){var ao=so,lo,uo,co,fo;if(!((no=to==null?void 0:to.providerRef)===null||no===void 0)&&no.current&&(!((io=(oo=to==null?void 0:to.providerRef)===null||oo===void 0?void 0:oo.current)===null||io===void 0)&&io.addEventListener)){ao=to.providerRef.current;var ho=setCallbackMap(to);lo=ho.onMouseDown,uo=ho.onPointerDown,co=ho.onKeyDown,fo=ho.onKeyUp}else lo=_onMouseDown,uo=_onPointerDown,co=_onKeyDown,fo=_onKeyUp;var po=setMountCounters(ao,1);return po<=1&&(ao.addEventListener("mousedown",lo,!0),ao.addEventListener("pointerdown",uo,!0),ao.addEventListener("keydown",co,!0),ao.addEventListener("keyup",fo,!0)),function(){var go;!so||((go=so.FabricConfig)===null||go===void 0?void 0:go.disableFocusRects)===!0||(po=setMountCounters(ao,-1),po===0&&(ao.removeEventListener("mousedown",lo,!0),ao.removeEventListener("pointerdown",uo,!0),ao.removeEventListener("keydown",co,!0),ao.removeEventListener("keyup",fo,!0)))}}},[to,eo])}var FocusRects=function(eo){return useFocusRects(eo.rootRef),null};function _onMouseDown(eo,to){setFocusVisibility(!1,eo.target,to)}function _onPointerDown(eo,to){eo.pointerType!=="mouse"&&setFocusVisibility(!1,eo.target,to)}function _onKeyDown(eo,to){isDirectionalKeyCode(eo.which)&&setFocusVisibility(!0,eo.target,to)}function _onKeyUp(eo,to){isDirectionalKeyCode(eo.which)&&setFocusVisibility(!0,eo.target,to)}var FocusRectsProvider=function(eo){var to=eo.providerRef,ro=eo.layerRoot,no=reactExports.useState([])[0],oo=reactExports.useContext(FocusRectsContext),io=oo!==void 0&&!ro,so=reactExports.useMemo(function(){return io?void 0:{providerRef:to,registeredProviders:no,registerProvider:function(ao){no.push(ao),oo==null||oo.registerProvider(ao)},unregisterProvider:function(ao){oo==null||oo.unregisterProvider(ao);var lo=no.indexOf(ao);lo>=0&&no.splice(lo,1)}}},[to,no,oo,io]);return reactExports.useEffect(function(){if(so)return so.registerProvider(so.providerRef),function(){return so.unregisterProvider(so.providerRef)}},[so]),so?reactExports.createElement(FocusRectsContext.Provider,{value:so},eo.children):reactExports.createElement(reactExports.Fragment,null,eo.children)};function getItem(eo){var to=null;try{var ro=getWindow();to=ro?ro.localStorage.getItem(eo):null}catch{}return to}var _language,STORAGE_KEY="language";function getLanguage(eo){if(eo===void 0&&(eo="sessionStorage"),_language===void 0){var to=getDocument(),ro=eo==="localStorage"?getItem(STORAGE_KEY):eo==="sessionStorage"?getItem$1(STORAGE_KEY):void 0;ro&&(_language=ro),_language===void 0&&to&&(_language=to.documentElement.getAttribute("lang")),_language===void 0&&(_language="en")}return _language}function merge$3(eo){for(var to=[],ro=1;ro<arguments.length;ro++)to[ro-1]=arguments[ro];for(var no=0,oo=to;no<oo.length;no++){var io=oo[no];_merge(eo||{},io)}return eo}function _merge(eo,to,ro){ro===void 0&&(ro=[]),ro.push(to);for(var no in to)if(to.hasOwnProperty(no)&&no!=="__proto__"&&no!=="constructor"&&no!=="prototype"){var oo=to[no];if(typeof oo=="object"&&oo!==null&&!Array.isArray(oo)){var io=ro.indexOf(oo)>-1;eo[no]=io?oo:_merge(eo[no]||{},oo,ro)}else eo[no]=oo}return ro.pop(),eo}var isIOS=function(){return!window||!window.navigator||!window.navigator.userAgent?!1:/iPad|iPhone|iPod/i.test(window.navigator.userAgent)},tagsToIgnore=["TEMPLATE","STYLE","SCRIPT"];function modalize(eo){var to=getDocument(eo);if(!to)return function(){};for(var ro=[];eo!==to.body&&eo.parentElement;){for(var no=0,oo=eo.parentElement.children;no<oo.length;no++){var io=oo[no],so=io.getAttribute("aria-hidden");io!==eo&&(so==null?void 0:so.toLowerCase())!=="true"&&tagsToIgnore.indexOf(io.tagName)===-1&&ro.push([io,so])}eo=eo.parentElement}return ro.forEach(function(ao){var lo=ao[0];lo.setAttribute("aria-hidden","true")}),function(){unmodalize(ro),ro=[]}}function unmodalize(eo){eo.forEach(function(to){var ro=to[0],no=to[1];no?ro.setAttribute("aria-hidden",no):ro.removeAttribute("aria-hidden")})}var isMacResult;function isMac(eo){var to;if(typeof isMacResult>"u"||eo){var ro=getWindow(),no=(to=ro==null?void 0:ro.navigator)===null||to===void 0?void 0:to.userAgent;isMacResult=!!no&&no.indexOf("Macintosh")!==-1}return!!isMacResult}function createComposedRenderFunction(eo){var to=createMemoizer(function(ro){var no=createMemoizer(function(oo){return function(io){return ro(io,oo)}});return function(oo,io){return eo(oo,io?no(io):ro)}});return to}var memoizer=createMemoizer(createComposedRenderFunction);function composeRenderFunction(eo,to){return memoizer(eo)(to)}var DefaultFields=["theme","styles"];function styled(eo,to,ro,no,oo){no=no||{scope:"",fields:void 0};var io=no.scope,so=no.fields,ao=so===void 0?DefaultFields:so,lo=reactExports.forwardRef(function(co,fo){var ho=reactExports.useRef(),po=useCustomizationSettings(ao,io),go=po.styles;po.dir;var vo=__rest$1(po,["styles","dir"]),bo=ro?ro(co):void 0,xo=ho.current&&ho.current.__cachedInputs__||[],_o=co.styles;if(!ho.current||go!==xo[1]||_o!==xo[2]){var Eo=function(So){return concatStyleSetsWithProps(So,to,go,_o)};Eo.__cachedInputs__=[to,go,_o],Eo.__noStyleOverride__=!go&&!_o,ho.current=Eo}return reactExports.createElement(eo,__assign$4({ref:fo},vo,bo,co,{styles:ho.current}))});lo.displayName="Styled".concat(eo.displayName||eo.name);var uo=oo?reactExports.memo(lo):lo;return lo.displayName&&(uo.displayName=lo.displayName),uo}function getPropsWithDefaults(eo,to){for(var ro=__assign$4({},to),no=0,oo=Object.keys(eo);no<oo.length;no++){var io=oo[no];ro[io]===void 0&&(ro[io]=eo[io])}return ro}var createResolver=function(eo){return function(to){for(var ro=0,no=eo.refs;ro<no.length;ro++){var oo=no[ro];typeof oo=="function"?oo(to):oo&&(oo.current=to)}}},createMergedRef=function(eo){var to={refs:[]};return function(){for(var ro=[],no=0;no<arguments.length;no++)ro[no]=arguments[no];return(!to.resolver||!arraysEqual(to.refs,ro))&&(to.resolver=createResolver(to)),to.refs=ro,to.resolver}},useIsomorphicLayoutEffect=canUseDOM$2()?reactExports.useLayoutEffect:reactExports.useEffect,ICON_SETTING_NAME="icons",_iconSettings=GlobalSettings.getValue(ICON_SETTING_NAME,{__options:{disableWarnings:!1,warnOnMissingIcons:!0},__remapped:{}}),stylesheet=Stylesheet$1.getInstance();stylesheet&&stylesheet.onReset&&stylesheet.onReset(function(){for(var eo in _iconSettings)_iconSettings.hasOwnProperty(eo)&&_iconSettings[eo].subset&&(_iconSettings[eo].subset.className=void 0)});var normalizeIconName=function(eo){return eo.toLowerCase()};function registerIcons(eo,to){var ro=__assign$4(__assign$4({},eo),{isRegistered:!1,className:void 0}),no=eo.icons;to=to?__assign$4(__assign$4({},_iconSettings.__options),to):_iconSettings.__options;for(var oo in no)if(no.hasOwnProperty(oo)){var io=no[oo],so=normalizeIconName(oo);_iconSettings[so]?_warnDuplicateIcon(oo):_iconSettings[so]={code:io,subset:ro}}}function getIcon(eo){var to=void 0,ro=_iconSettings.__options;if(eo=eo?normalizeIconName(eo):"",eo=_iconSettings.__remapped[eo]||eo,eo)if(to=_iconSettings[eo],to){var no=to.subset;no&&no.fontFace&&(no.isRegistered||(fontFace(no.fontFace),no.isRegistered=!0),no.className||(no.className=mergeStyles$1(no.style,{fontFamily:no.fontFace.fontFamily,fontWeight:no.fontFace.fontWeight||"normal",fontStyle:no.fontFace.fontStyle||"normal"})))}else!ro.disableWarnings&&ro.warnOnMissingIcons&&warn('The icon "'.concat(eo,'" was used but not registered. See https://github.com/microsoft/fluentui/wiki/Using-icons for more information.'));return to}var _missingIcons=[],_missingIconsTimer=void 0;function _warnDuplicateIcon(eo){var to=_iconSettings.__options,ro=2e3,no=10;to.disableWarnings||(_missingIcons.push(eo),_missingIconsTimer===void 0&&(_missingIconsTimer=setTimeout(function(){warn(`Some icons were re-registered. Applications should only call registerIcons for any given icon once. Redefining what an icon is may have unintended consequences. Duplicates include: 
+`+_missingIcons.slice(0,no).join(", ")+(_missingIcons.length>no?" (+ ".concat(_missingIcons.length-no," more)"):"")),_missingIconsTimer=void 0,_missingIcons=[]},ro)))}function makeSemanticColors(eo,to,ro,no,oo){oo===void 0&&(oo=!1);var io=__assign$4({primaryButtonBorder:"transparent",errorText:no?"#F1707B":"#a4262c",messageText:no?"#F3F2F1":"#323130",messageLink:no?"#6CB8F6":"#005A9E",messageLinkHovered:no?"#82C7FF":"#004578",infoIcon:no?"#C8C6C4":"#605e5c",errorIcon:no?"#F1707B":"#A80000",blockingIcon:no?"#442726":"#FDE7E9",warningIcon:no?"#C8C6C4":"#797775",severeWarningIcon:no?"#FCE100":"#D83B01",successIcon:no?"#92C353":"#107C10",infoBackground:no?"#323130":"#f3f2f1",errorBackground:no?"#442726":"#FDE7E9",blockingBackground:no?"#442726":"#FDE7E9",warningBackground:no?"#433519":"#FFF4CE",severeWarningBackground:no?"#4F2A0F":"#FED9CC",successBackground:no?"#393D1B":"#DFF6DD",warningHighlight:no?"#fff100":"#ffb900",successText:no?"#92c353":"#107C10"},ro),so=getSemanticColors(eo,to,io,no);return _fixDeprecatedSlots(so,oo)}function getSemanticColors(eo,to,ro,no,oo){var io={},so=eo||{},ao=so.white,lo=so.black,uo=so.themePrimary,co=so.themeDark,fo=so.themeDarker,ho=so.themeDarkAlt,po=so.themeLighter,go=so.neutralLight,vo=so.neutralLighter,bo=so.neutralDark,xo=so.neutralQuaternary,_o=so.neutralQuaternaryAlt,Eo=so.neutralPrimary,So=so.neutralSecondary,To=so.neutralSecondaryAlt,wo=so.neutralTertiary,Co=so.neutralTertiaryAlt,Oo=so.neutralLighterAlt,Ao=so.accent;return ao&&(io.bodyBackground=ao,io.bodyFrameBackground=ao,io.accentButtonText=ao,io.buttonBackground=ao,io.primaryButtonText=ao,io.primaryButtonTextHovered=ao,io.primaryButtonTextPressed=ao,io.inputBackground=ao,io.inputForegroundChecked=ao,io.listBackground=ao,io.menuBackground=ao,io.cardStandoutBackground=ao),lo&&(io.bodyTextChecked=lo,io.buttonTextCheckedHovered=lo),uo&&(io.link=uo,io.primaryButtonBackground=uo,io.inputBackgroundChecked=uo,io.inputIcon=uo,io.inputFocusBorderAlt=uo,io.menuIcon=uo,io.menuHeader=uo,io.accentButtonBackground=uo),co&&(io.primaryButtonBackgroundPressed=co,io.inputBackgroundCheckedHovered=co,io.inputIconHovered=co),fo&&(io.linkHovered=fo),ho&&(io.primaryButtonBackgroundHovered=ho),po&&(io.inputPlaceholderBackgroundChecked=po),go&&(io.bodyBackgroundChecked=go,io.bodyFrameDivider=go,io.bodyDivider=go,io.variantBorder=go,io.buttonBackgroundCheckedHovered=go,io.buttonBackgroundPressed=go,io.listItemBackgroundChecked=go,io.listHeaderBackgroundPressed=go,io.menuItemBackgroundPressed=go,io.menuItemBackgroundChecked=go),vo&&(io.bodyBackgroundHovered=vo,io.buttonBackgroundHovered=vo,io.buttonBackgroundDisabled=vo,io.buttonBorderDisabled=vo,io.primaryButtonBackgroundDisabled=vo,io.disabledBackground=vo,io.listItemBackgroundHovered=vo,io.listHeaderBackgroundHovered=vo,io.menuItemBackgroundHovered=vo),xo&&(io.primaryButtonTextDisabled=xo,io.disabledSubtext=xo),_o&&(io.listItemBackgroundCheckedHovered=_o),wo&&(io.disabledBodyText=wo,io.variantBorderHovered=(ro==null?void 0:ro.variantBorderHovered)||wo,io.buttonTextDisabled=wo,io.inputIconDisabled=wo,io.disabledText=wo),Eo&&(io.bodyText=Eo,io.actionLink=Eo,io.buttonText=Eo,io.inputBorderHovered=Eo,io.inputText=Eo,io.listText=Eo,io.menuItemText=Eo),Oo&&(io.bodyStandoutBackground=Oo,io.defaultStateBackground=Oo),bo&&(io.actionLinkHovered=bo,io.buttonTextHovered=bo,io.buttonTextChecked=bo,io.buttonTextPressed=bo,io.inputTextHovered=bo,io.menuItemTextHovered=bo),So&&(io.bodySubtext=So,io.focusBorder=So,io.inputBorder=So,io.smallInputBorder=So,io.inputPlaceholderText=So),To&&(io.buttonBorder=To),Co&&(io.disabledBodySubtext=Co,io.disabledBorder=Co,io.buttonBackgroundChecked=Co,io.menuDivider=Co),Ao&&(io.accentButtonBackground=Ao),to!=null&&to.elevation4&&(io.cardShadow=to.elevation4),!no&&(to!=null&&to.elevation8)?io.cardShadowHovered=to.elevation8:io.variantBorderHovered&&(io.cardShadowHovered="0 0 1px "+io.variantBorderHovered),io=__assign$4(__assign$4({},io),ro),io}function _fixDeprecatedSlots(eo,to){var ro="";return to===!0&&(ro=" /* @deprecated */"),eo.listTextColor=eo.listText+ro,eo.menuItemBackgroundChecked+=ro,eo.warningHighlight+=ro,eo.warningText=eo.messageText+ro,eo.successText+=ro,eo}function mergeThemes(eo,to){var ro,no,oo;to===void 0&&(to={});var io=merge$3({},eo,to,{semanticColors:getSemanticColors(to.palette,to.effects,to.semanticColors,to.isInverted===void 0?eo.isInverted:to.isInverted)});if(!((ro=to.palette)===null||ro===void 0)&&ro.themePrimary&&!(!((no=to.palette)===null||no===void 0)&&no.accent)&&(io.palette.accent=to.palette.themePrimary),to.defaultFontStyle)for(var so=0,ao=Object.keys(io.fonts);so<ao.length;so++){var lo=ao[so];io.fonts[lo]=merge$3(io.fonts[lo],to.defaultFontStyle,(oo=to==null?void 0:to.fonts)===null||oo===void 0?void 0:oo[lo])}return io}var DefaultPalette={themeDarker:"#004578",themeDark:"#005a9e",themeDarkAlt:"#106ebe",themePrimary:"#0078d4",themeSecondary:"#2b88d8",themeTertiary:"#71afe5",themeLight:"#c7e0f4",themeLighter:"#deecf9",themeLighterAlt:"#eff6fc",black:"#000000",blackTranslucent40:"rgba(0,0,0,.4)",neutralDark:"#201f1e",neutralPrimary:"#323130",neutralPrimaryAlt:"#3b3a39",neutralSecondary:"#605e5c",neutralSecondaryAlt:"#8a8886",neutralTertiary:"#a19f9d",neutralTertiaryAlt:"#c8c6c4",neutralQuaternary:"#d2d0ce",neutralQuaternaryAlt:"#e1dfdd",neutralLight:"#edebe9",neutralLighter:"#f3f2f1",neutralLighterAlt:"#faf9f8",accent:"#0078d4",white:"#ffffff",whiteTranslucent40:"rgba(255,255,255,.4)",yellowDark:"#d29200",yellow:"#ffb900",yellowLight:"#fff100",orange:"#d83b01",orangeLight:"#ea4300",orangeLighter:"#ff8c00",redDark:"#a4262c",red:"#e81123",magentaDark:"#5c005c",magenta:"#b4009e",magentaLight:"#e3008c",purpleDark:"#32145a",purple:"#5c2d91",purpleLight:"#b4a0ff",blueDark:"#002050",blueMid:"#00188f",blue:"#0078d4",blueLight:"#00bcf2",tealDark:"#004b50",teal:"#008272",tealLight:"#00b294",greenDark:"#004b1c",green:"#107c10",greenLight:"#bad80a"},Depths;(function(eo){eo.depth0="0 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DefaultEffects={elevation4:Depths.depth4,elevation8:Depths.depth8,elevation16:Depths.depth16,elevation64:Depths.depth64,roundedCorner2:"2px",roundedCorner4:"4px",roundedCorner6:"6px"},DefaultSpacing={s2:"4px",s1:"8px",m:"16px",l1:"20px",l2:"32px"},EASING_FUNCTION_1="cubic-bezier(.1,.9,.2,1)",EASING_FUNCTION_2="cubic-bezier(.1,.25,.75,.9)",DURATION_1="0.167s",DURATION_2="0.267s",DURATION_3="0.367s",DURATION_4="0.467s",FADE_IN=keyframes({from:{opacity:0},to:{opacity:1}}),FADE_OUT=keyframes({from:{opacity:1},to:{opacity:0,visibility:"hidden"}}),SLIDE_RIGHT_IN10=_createSlideInX(-10),SLIDE_RIGHT_IN20=_createSlideInX(-20),SLIDE_RIGHT_IN40=_createSlideInX(-40),SLIDE_RIGHT_IN400=_createSlideInX(-400),SLIDE_LEFT_IN10=_createSlideInX(10),SLIDE_LEFT_IN20=_createSlideInX(20),SLIDE_LEFT_IN40=_createSlideInX(40),SLIDE_LEFT_IN400=_createSlideInX(400),SLIDE_UP_IN10=_createSlideInY(10),SLIDE_UP_IN20=_createSlideInY(20),SLIDE_DOWN_IN10=_createSlideInY(-10),SLIDE_DOWN_IN20=_createSlideInY(-20),SLIDE_RIGHT_OUT10=_createSlideOutX(10),SLIDE_RIGHT_OUT20=_createSlideOutX(20),SLIDE_RIGHT_OUT40=_createSlideOutX(40),SLIDE_RIGHT_OUT400=_createSlideOutX(400),SLIDE_LEFT_OUT10=_createSlideOutX(-10),SLIDE_LEFT_OUT20=_createSlideOutX(-20),SLIDE_LEFT_OUT40=_createSlideOutX(-40),SLIDE_LEFT_OUT400=_createSlideOutX(-400),SLIDE_UP_OUT10=_createSlideOutY(-10),SLIDE_UP_OUT20=_createSlideOutY(-20),SLIDE_DOWN_OUT10=_createSlideOutY(10),SLIDE_DOWN_OUT20=_createSlideOutY(20),SCALE_UP100=keyframes({from:{transform:"scale3d(.98,.98,1)"},to:{transform:"scale3d(1,1,1)"}}),SCALE_DOWN98=keyframes({from:{transform:"scale3d(1,1,1)"},to:{transform:"scale3d(.98,.98,1)"}}),SCALE_DOWN100=keyframes({from:{transform:"scale3d(1.03,1.03,1)"},to:{transform:"scale3d(1,1,1)"}}),SCALE_UP103=keyframes({from:{transform:"scale3d(1,1,1)"},to:{transform:"scale3d(1.03,1.03,1)"}}),ROTATE90=keyframes({from:{transform:"rotateZ(0deg)"},to:{transform:"rotateZ(90deg)"}}),ROTATE_N90=keyframes({from:{transform:"rotateZ(0deg)"},to:{transform:"rotateZ(-90deg)"}}),AnimationVariables={easeFunction1:EASING_FUNCTION_1,easeFunction2:EASING_FUNCTION_2,durationValue1:DURATION_1,durationValue2:DURATION_2,durationValue3:DURATION_3,durationValue4:DURATION_4},AnimationStyles={slideRightIn10:_createAnimation("".concat(FADE_IN,",").concat(SLIDE_RIGHT_IN10),DURATION_3,EASING_FUNCTION_1),slideRightIn20:_createAnimation("".concat(FADE_IN,",").concat(SLIDE_RIGHT_IN20),DURATION_3,EASING_FUNCTION_1),slideRightIn40:_createAnimation("".concat(FADE_IN,",").concat(SLIDE_RIGHT_IN40),DURATION_3,EASING_FUNCTION_1),slideRightIn400:_createAnimation("".concat(FADE_IN,",").concat(SLIDE_RIGHT_IN400),DURATION_3,EASING_FUNCTION_1),slideLeftIn10:_createAnimation("".concat(FADE_IN,",").concat(SLIDE_LEFT_IN10),DURATION_3,EASING_FUNCTION_1),slideLeftIn20:_createAnimation("".concat(FADE_IN,",").concat(SLIDE_LEFT_IN20),DURATION_3,EASING_FUNCTION_1),slideLeftIn40:_createAnimation("".concat(FADE_IN,",").concat(SLIDE_LEFT_IN40),DURATION_3,EASING_FUNCTION_1),slideLeftIn400:_createAnimation("".concat(FADE_IN,",").concat(SLIDE_LEFT_IN400),DURATION_3,EASING_FUNCTION_1),slideUpIn10:_createAnimation("".concat(FADE_IN,",").concat(SLIDE_UP_IN10),DURATION_3,EASING_FUNCTION_1),slideUpIn20:_createAnimation("".concat(FADE_IN,",").concat(SLIDE_UP_IN20),DURATION_3,EASING_FUNCTION_1),slideDownIn10:_createAnimation("".concat(FADE_IN,",").concat(SLIDE_DOWN_IN10),DURATION_3,EASING_FUNCTION_1),slideDownIn20:_createAnimation("".concat(FADE_IN,",").concat(SLIDE_DOWN_IN20),DURATION_3,EASING_FUNCTION_1),slideRightOut10:_createAnimation("".concat(FADE_OUT,",").concat(SLIDE_RIGHT_OUT10),DURATION_3,EASING_FUNCTION_1),slideRightOut20:_createAnimation("".concat(FADE_OUT,",").concat(SLIDE_RIGHT_OUT20),DURATION_3,EASING_FUNCTION_1),slideRightOut40:_createAnimation("".concat(FADE_OUT,",").concat(SLIDE_RIGHT_OUT40),DURATION_3,EASING_FUNCTION_1),slideRightOut400:_createAnimation("".concat(FADE_OUT,",").concat(SLIDE_RIGHT_OUT400),DURATION_3,EASING_FUNCTION_1),slideLeftOut10:_createAnimation("".concat(FADE_OUT,",").concat(SLIDE_LEFT_OUT10),DURATION_3,EASING_FUNCTION_1),slideLeftOut20:_createAnimation("".concat(FADE_OUT,",").concat(SLIDE_LEFT_OUT20),DURATION_3,EASING_FUNCTION_1),slideLeftOut40:_createAnimation("".concat(FADE_OUT,",").concat(SLIDE_LEFT_OUT40),DURATION_3,EASING_FUNCTION_1),slideLeftOut400:_createAnimation("".concat(FADE_OUT,",").concat(SLIDE_LEFT_OUT400),DURATION_3,EASING_FUNCTION_1),slideUpOut10:_createAnimation("".concat(FADE_OUT,",").concat(SLIDE_UP_OUT10),DURATION_3,EASING_FUNCTION_1),slideUpOut20:_createAnimation("".concat(FADE_OUT,",").concat(SLIDE_UP_OUT20),DURATION_3,EASING_FUNCTION_1),slideDownOut10:_createAnimation("".concat(FADE_OUT,",").concat(SLIDE_DOWN_OUT10),DURATION_3,EASING_FUNCTION_1),slideDownOut20:_createAnimation("".concat(FADE_OUT,",").concat(SLIDE_DOWN_OUT20),DURATION_3,EASING_FUNCTION_1),scaleUpIn100:_createAnimation("".concat(FADE_IN,",").concat(SCALE_UP100),DURATION_3,EASING_FUNCTION_1),scaleDownIn100:_createAnimation("".concat(FADE_IN,",").concat(SCALE_DOWN100),DURATION_3,EASING_FUNCTION_1),scaleUpOut103:_createAnimation("".concat(FADE_OUT,",").concat(SCALE_UP103),DURATION_1,EASING_FUNCTION_2),scaleDownOut98:_createAnimation("".concat(FADE_OUT,",").concat(SCALE_DOWN98),DURATION_1,EASING_FUNCTION_2),fadeIn100:_createAnimation(FADE_IN,DURATION_1,EASING_FUNCTION_2),fadeIn200:_createAnimation(FADE_IN,DURATION_2,EASING_FUNCTION_2),fadeIn400:_createAnimation(FADE_IN,DURATION_3,EASING_FUNCTION_2),fadeIn500:_createAnimation(FADE_IN,DURATION_4,EASING_FUNCTION_2),fadeOut100:_createAnimation(FADE_OUT,DURATION_1,EASING_FUNCTION_2),fadeOut200:_createAnimation(FADE_OUT,DURATION_2,EASING_FUNCTION_2),fadeOut400:_createAnimation(FADE_OUT,DURATION_3,EASING_FUNCTION_2),fadeOut500:_createAnimation(FADE_OUT,DURATION_4,EASING_FUNCTION_2),rotate90deg:_createAnimation(ROTATE90,"0.1s",EASING_FUNCTION_2),rotateN90deg:_createAnimation(ROTATE_N90,"0.1s",EASING_FUNCTION_2)};function _createAnimation(eo,to,ro){return{animationName:eo,animationDuration:to,animationTimingFunction:ro,animationFillMode:"both"}}function _createSlideInX(eo){return keyframes({from:{transform:"translate3d(".concat(eo,"px,0,0)"),pointerEvents:"none"},to:{transform:"translate3d(0,0,0)",pointerEvents:"auto"}})}function _createSlideInY(eo){return keyframes({from:{transform:"translate3d(0,".concat(eo,"px,0)"),pointerEvents:"none"},to:{transform:"translate3d(0,0,0)",pointerEvents:"auto"}})}function _createSlideOutX(eo){return keyframes({from:{transform:"translate3d(0,0,0)"},to:{transform:"translate3d(".concat(eo,"px,0,0)")}})}function _createSlideOutY(eo){return keyframes({from:{transform:"translate3d(0,0,0)"},to:{transform:"translate3d(0,".concat(eo,"px,0)")}})}var LocalizedFontNames;(function(eo){eo.Arabic="Segoe UI Web (Arabic)",eo.Cyrillic="Segoe UI Web (Cyrillic)",eo.EastEuropean="Segoe UI Web (East European)",eo.Greek="Segoe UI Web (Greek)",eo.Hebrew="Segoe UI Web (Hebrew)",eo.Thai="Leelawadee UI Web",eo.Vietnamese="Segoe UI Web (Vietnamese)",eo.WestEuropean="Segoe UI Web (West European)",eo.Selawik="Selawik Web",eo.Armenian="Segoe UI Web (Armenian)",eo.Georgian="Segoe UI Web (Georgian)"})(LocalizedFontNames||(LocalizedFontNames={}));var LocalizedFontFamilies;(function(eo){eo.Arabic="'".concat(LocalizedFontNames.Arabic,"'"),eo.ChineseSimplified="'Microsoft Yahei UI', Verdana, Simsun",eo.ChineseTraditional="'Microsoft Jhenghei UI', Pmingliu",eo.Cyrillic="'".concat(LocalizedFontNames.Cyrillic,"'"),eo.EastEuropean="'".concat(LocalizedFontNames.EastEuropean,"'"),eo.Greek="'".concat(LocalizedFontNames.Greek,"'"),eo.Hebrew="'".concat(LocalizedFontNames.Hebrew,"'"),eo.Hindi="'Nirmala UI'",eo.Japanese="'Yu Gothic UI', 'Meiryo UI', Meiryo, 'MS Pgothic', Osaka",eo.Korean="'Malgun Gothic', Gulim",eo.Selawik="'".concat(LocalizedFontNames.Selawik,"'"),eo.Thai="'Leelawadee UI Web', 'Kmer UI'",eo.Vietnamese="'".concat(LocalizedFontNames.Vietnamese,"'"),eo.WestEuropean="'".concat(LocalizedFontNames.WestEuropean,"'"),eo.Armenian="'".concat(LocalizedFontNames.Armenian,"'"),eo.Georgian="'".concat(LocalizedFontNames.Georgian,"'")})(LocalizedFontFamilies||(LocalizedFontFamilies={}));var FontSizes;(function(eo){eo.size10="10px",eo.size12="12px",eo.size14="14px",eo.size16="16px",eo.size18="18px",eo.size20="20px",eo.size24="24px",eo.size28="28px",eo.size32="32px",eo.size42="42px",eo.size68="68px",eo.mini="10px",eo.xSmall="10px",eo.small="12px",eo.smallPlus="12px",eo.medium="14px",eo.mediumPlus="16px",eo.icon="16px",eo.large="18px",eo.xLarge="20px",eo.xLargePlus="24px",eo.xxLarge="28px",eo.xxLargePlus="32px",eo.superLarge="42px",eo.mega="68px"})(FontSizes||(FontSizes={}));var FontWeights;(function(eo){eo.light=100,eo.semilight=300,eo.regular=400,eo.semibold=600,eo.bold=700})(FontWeights||(FontWeights={}));var IconFontSizes;(function(eo){eo.xSmall="10px",eo.small="12px",eo.medium="16px",eo.large="20px"})(IconFontSizes||(IconFontSizes={}));var FontFamilyFallbacks="'Segoe UI', -apple-system, BlinkMacSystemFont, 'Roboto', 'Helvetica Neue', sans-serif",defaultFontFamily="'Segoe UI', '".concat(LocalizedFontNames.WestEuropean,"'"),LanguageToFontMap={ar:LocalizedFontFamilies.Arabic,bg:LocalizedFontFamilies.Cyrillic,cs:LocalizedFontFamilies.EastEuropean,el:LocalizedFontFamilies.Greek,et:LocalizedFontFamilies.EastEuropean,he:LocalizedFontFamilies.Hebrew,hi:LocalizedFontFamilies.Hindi,hr:LocalizedFontFamilies.EastEuropean,hu:LocalizedFontFamilies.EastEuropean,ja:LocalizedFontFamilies.Japanese,kk:LocalizedFontFamilies.EastEuropean,ko:LocalizedFontFamilies.Korean,lt:LocalizedFontFamilies.EastEuropean,lv:LocalizedFontFamilies.EastEuropean,pl:LocalizedFontFamilies.EastEuropean,ru:LocalizedFontFamilies.Cyrillic,sk:LocalizedFontFamilies.EastEuropean,"sr-latn":LocalizedFontFamilies.EastEuropean,th:LocalizedFontFamilies.Thai,tr:LocalizedFontFamilies.EastEuropean,uk:LocalizedFontFamilies.Cyrillic,vi:LocalizedFontFamilies.Vietnamese,"zh-hans":LocalizedFontFamilies.ChineseSimplified,"zh-hant":LocalizedFontFamilies.ChineseTraditional,hy:LocalizedFontFamilies.Armenian,ka:LocalizedFontFamilies.Georgian};function _fontFamilyWithFallbacks(eo){return"".concat(eo,", ").concat(FontFamilyFallbacks)}function _getLocalizedFontFamily(eo){for(var to in LanguageToFontMap)if(LanguageToFontMap.hasOwnProperty(to)&&eo&&to.indexOf(eo)===0)return LanguageToFontMap[to];return defaultFontFamily}function _createFont(eo,to,ro){return{fontFamily:ro,MozOsxFontSmoothing:"grayscale",WebkitFontSmoothing:"antialiased",fontSize:eo,fontWeight:to}}function createFontStyles(eo){var to=_getLocalizedFontFamily(eo),ro=_fontFamilyWithFallbacks(to),no={tiny:_createFont(FontSizes.mini,FontWeights.regular,ro),xSmall:_createFont(FontSizes.xSmall,FontWeights.regular,ro),small:_createFont(FontSizes.small,FontWeights.regular,ro),smallPlus:_createFont(FontSizes.smallPlus,FontWeights.regular,ro),medium:_createFont(FontSizes.medium,FontWeights.regular,ro),mediumPlus:_createFont(FontSizes.mediumPlus,FontWeights.regular,ro),large:_createFont(FontSizes.large,FontWeights.regular,ro),xLarge:_createFont(FontSizes.xLarge,FontWeights.semibold,ro),xLargePlus:_createFont(FontSizes.xLargePlus,FontWeights.semibold,ro),xxLarge:_createFont(FontSizes.xxLarge,FontWeights.semibold,ro),xxLargePlus:_createFont(FontSizes.xxLargePlus,FontWeights.semibold,ro),superLarge:_createFont(FontSizes.superLarge,FontWeights.semibold,ro),mega:_createFont(FontSizes.mega,FontWeights.semibold,ro)};return no}var DefaultBaseUrl="https://res-1.cdn.office.net/files/fabric-cdn-prod_20230815.002/assets",DefaultFontStyles=createFontStyles(getLanguage());function _registerFontFace(eo,to,ro,no){eo="'".concat(eo,"'");var oo=no!==void 0?"local('".concat(no,"'),"):"";fontFace({fontFamily:eo,src:oo+"url('".concat(to,".woff2') format('woff2'),")+"url('".concat(to,".woff') format('woff')"),fontWeight:ro,fontStyle:"normal",fontDisplay:"swap"})}function _registerFontFaceSet(eo,to,ro,no,oo){no===void 0&&(no="segoeui");var io="".concat(eo,"/").concat(ro,"/").concat(no);_registerFontFace(to,io+"-light",FontWeights.light,oo&&oo+" Light"),_registerFontFace(to,io+"-semilight",FontWeights.semilight,oo&&oo+" SemiLight"),_registerFontFace(to,io+"-regular",FontWeights.regular,oo),_registerFontFace(to,io+"-semibold",FontWeights.semibold,oo&&oo+" SemiBold"),_registerFontFace(to,io+"-bold",FontWeights.bold,oo&&oo+" Bold")}function registerDefaultFontFaces(eo){if(eo){var to="".concat(eo,"/fonts");_registerFontFaceSet(to,LocalizedFontNames.Thai,"leelawadeeui-thai","leelawadeeui"),_registerFontFaceSet(to,LocalizedFontNames.Arabic,"segoeui-arabic"),_registerFontFaceSet(to,LocalizedFontNames.Cyrillic,"segoeui-cyrillic"),_registerFontFaceSet(to,LocalizedFontNames.EastEuropean,"segoeui-easteuropean"),_registerFontFaceSet(to,LocalizedFontNames.Greek,"segoeui-greek"),_registerFontFaceSet(to,LocalizedFontNames.Hebrew,"segoeui-hebrew"),_registerFontFaceSet(to,LocalizedFontNames.Vietnamese,"segoeui-vietnamese"),_registerFontFaceSet(to,LocalizedFontNames.WestEuropean,"segoeui-westeuropean","segoeui","Segoe UI"),_registerFontFaceSet(to,LocalizedFontFamilies.Selawik,"selawik","selawik"),_registerFontFaceSet(to,LocalizedFontNames.Armenian,"segoeui-armenian"),_registerFontFaceSet(to,LocalizedFontNames.Georgian,"segoeui-georgian"),_registerFontFace("Leelawadee UI Web","".concat(to,"/leelawadeeui-thai/leelawadeeui-semilight"),FontWeights.light),_registerFontFace("Leelawadee UI Web","".concat(to,"/leelawadeeui-thai/leelawadeeui-bold"),FontWeights.semibold)}}function _getFontBaseUrl(){var eo,to,ro=(eo=getWindow())===null||eo===void 0?void 0:eo.FabricConfig;return(to=ro==null?void 0:ro.fontBaseUrl)!==null&&to!==void 0?to:DefaultBaseUrl}registerDefaultFontFaces(_getFontBaseUrl());function createTheme$1(eo,to){eo===void 0&&(eo={}),to===void 0&&(to=!1);var ro=!!eo.isInverted,no={palette:DefaultPalette,effects:DefaultEffects,fonts:DefaultFontStyles,spacing:DefaultSpacing,isInverted:ro,disableGlobalClassNames:!1,semanticColors:makeSemanticColors(DefaultPalette,DefaultEffects,void 0,ro,to),rtl:void 0};return mergeThemes(no,eo)}var HighContrastSelector="@media screen and (-ms-high-contrast: active), screen and (forced-colors: active)",ScreenWidthMinLarge=640,ScreenWidthMaxMedium=ScreenWidthMinLarge-1;function getScreenSelector(eo,to){var ro=typeof eo=="number"?" and (min-width: ".concat(eo,"px)"):"",no=typeof to=="number"?" and (max-width: ".concat(to,"px)"):"";return"@media only screen".concat(ro).concat(no)}function getHighContrastNoAdjustStyle(){return{forcedColorAdjust:"none",MsHighContrastAdjust:"none"}}var ZIndexes;(function(eo){eo.Nav=1,eo.ScrollablePane=1,eo.FocusStyle=1,eo.Coachmark=1e3,eo.Layer=1e6,eo.KeytipLayer=1000001})(ZIndexes||(ZIndexes={}));function getFocusStyle(eo,to,ro,no,oo,io,so,ao){return typeof to=="number"||!to?_getFocusStyleInternal(eo,{inset:to,position:ro,highContrastStyle:no,borderColor:oo,outlineColor:io,isFocusedOnly:so,borderRadius:ao}):_getFocusStyleInternal(eo,to)}function _getFocusStyleInternal(eo,to){var ro,no;to===void 0&&(to={});var oo=to.borderRadius,io=to.inset,so=io===void 0?0:io,ao=to.width,lo=ao===void 0?1:ao,uo=to.position,co=uo===void 0?"relative":uo,fo=to.highContrastStyle,ho=to.borderColor,po=ho===void 0?eo.palette.white:ho,go=to.outlineColor,vo=go===void 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no=_getRelativeRectEdgeValue(ro,eo);return no>_getRelativeRectEdgeValue(ro,to)}function _getOutOfBoundsDegree(eo,to){for(var ro=_getOutOfBoundsEdges(eo,to),no=0,oo=0,io=ro;oo<io.length;oo++){var so=io[oo];no+=Math.pow(_getRelativeEdgeDifference(eo,to,so),2)}return no}function _canScrollResizeToFitEdge(eo,to,ro,no){return no===void 0&&(no=200),ro!==RectangleEdge.bottom&&ro!==RectangleEdge.top?!1:_getRelativeEdgeDifference(eo,to,ro)>=no}function _flipToFit(eo,to,ro,no,oo,io,so){oo===void 0&&(oo=!1),so===void 0&&(so=0);var ao=[RectangleEdge.left,RectangleEdge.right,RectangleEdge.bottom,RectangleEdge.top];getRTL$1()&&(ao[0]*=-1,ao[1]*=-1);for(var lo=eo,uo=no.targetEdge,co=no.alignmentEdge,fo,ho=uo,po=co,go=0;go<4;go++){if(_isEdgeInBounds(lo,ro,uo))return{elementRectangle:lo,targetEdge:uo,alignmentEdge:co};if(oo&&_canScrollResizeToFitEdge(to,ro,uo,io)){switch(uo){case RectangleEdge.bottom:lo.bottom=ro.bottom;break;case RectangleEdge.top:lo.top=ro.top;break}return{elementRectangle:lo,targetEdge:uo,alignmentEdge:co,forcedInBounds:!0}}else{var vo=_getOutOfBoundsDegree(lo,ro);(!fo||vo<fo)&&(fo=vo,ho=uo,po=co),ao.splice(ao.indexOf(uo),1),ao.length>0&&(ao.indexOf(uo*-1)>-1?uo=uo*-1:(co=uo,uo=ao.slice(-1)[0]),lo=_estimatePosition(eo,to,{targetEdge:uo,alignmentEdge:co},so))}}return lo=_estimatePosition(eo,to,{targetEdge:ho,alignmentEdge:po},so),{elementRectangle:lo,targetEdge:ho,alignmentEdge:po}}function _flipAlignmentEdge(eo,to,ro,no){var oo=eo.alignmentEdge,io=eo.targetEdge,so=eo.elementRectangle,ao=oo*-1,lo=_estimatePosition(so,to,{targetEdge:io,alignmentEdge:ao},ro,no);return{elementRectangle:lo,targetEdge:io,alignmentEdge:ao}}function _adjustFitWithinBounds(eo,to,ro,no,oo,io,so,ao,lo){oo===void 0&&(oo=!1),so===void 0&&(so=0);var uo=no.alignmentEdge,co=no.alignTargetEdge,fo={elementRectangle:eo,targetEdge:no.targetEdge,alignmentEdge:uo};!ao&&!lo&&(fo=_flipToFit(eo,to,ro,no,oo,io,so));var ho=_getOutOfBoundsEdges(fo.elementRectangle,ro),po=ao?-fo.targetEdge:void 0;if(ho.length>0)if(co)if(fo.alignmentEdge&&ho.indexOf(fo.alignmentEdge*-1)>-1){var go=_flipAlignmentEdge(fo,to,so,lo);if(_isRectangleWithinBounds(go.elementRectangle,ro))return go;fo=_alignOutOfBoundsEdges(_getOutOfBoundsEdges(go.elementRectangle,ro),fo,ro,po)}else fo=_alignOutOfBoundsEdges(ho,fo,ro,po);else fo=_alignOutOfBoundsEdges(ho,fo,ro,po);return fo}function _alignOutOfBoundsEdges(eo,to,ro,no){for(var oo=0,io=eo;oo<io.length;oo++){var so=io[oo],ao=void 0;if(no&&no===so*-1)ao=_moveEdge(to.elementRectangle,so,_getEdgeValue(ro,so),!1),to.forcedInBounds=!0;else{ao=_alignEdges(to.elementRectangle,ro,so);var lo=_isEdgeInBounds(ao,ro,so*-1);lo||(ao=_moveEdge(ao,so*-1,_getEdgeValue(ro,so*-1),!1),to.forcedInBounds=!0)}to.elementRectangle=ao}return to}function _centerEdgeToPoint(eo,to,ro){var no=_getFlankingEdges(to).positiveEdge,oo=_getCenterValue(eo,to),io=oo-_getEdgeValue(eo,no);return _moveEdge(eo,no,ro-io)}function _estimatePosition(eo,to,ro,no,oo){no===void 0&&(no=0);var io=new Rectangle(eo.left,eo.right,eo.top,eo.bottom),so=ro.alignmentEdge,ao=ro.targetEdge,lo=oo?ao:ao*-1;if(io=oo?_alignEdges(io,to,ao,no):_alignOppositeEdges(io,to,ao,no),so)io=_alignEdges(io,to,so);else{var uo=_getCenterValue(to,ao);io=_centerEdgeToPoint(io,lo,uo)}return io}function _getFlankingEdges(eo){return eo===RectangleEdge.top||eo===RectangleEdge.bottom?{positiveEdge:RectangleEdge.left,negativeEdge:RectangleEdge.right}:{positiveEdge:RectangleEdge.top,negativeEdge:RectangleEdge.bottom}}function _finalizeReturnEdge(eo,to,ro){return ro&&Math.abs(_getRelativeEdgeDifference(eo,ro,to))>Math.abs(_getRelativeEdgeDifference(eo,ro,to*-1))?to*-1:to}function _isEdgeOnBounds(eo,to,ro){return ro!==void 0&&_getEdgeValue(eo,to)===_getEdgeValue(ro,to)}function _finalizeElementPosition(eo,to,ro,no,oo,io,so,ao){var lo={},uo=_getRectangleFromElement(to),co=io?ro:ro*-1,fo=oo||_getFlankingEdges(ro).positiveEdge;return(!so||_isEdgeOnBounds(eo,getOppositeEdge(fo),no))&&(fo=_finalizeReturnEdge(eo,fo,no)),lo[RectangleEdge[co]]=_getRelativeEdgeDifference(eo,uo,co),lo[RectangleEdge[fo]]=_getRelativeEdgeDifference(eo,uo,fo),ao&&(lo[RectangleEdge[co*-1]]=_getRelativeEdgeDifference(eo,uo,co*-1),lo[RectangleEdge[fo*-1]]=_getRelativeEdgeDifference(eo,uo,fo*-1)),lo}function _calculateActualBeakWidthInPixels(eo){return Math.sqrt(eo*eo*2)}function _getPositionData(eo,to,ro){if(eo===void 0&&(eo=DirectionalHint.bottomAutoEdge),ro)return{alignmentEdge:ro.alignmentEdge,isAuto:ro.isAuto,targetEdge:ro.targetEdge};var no=__assign$4({},DirectionalDictionary[eo]);return getRTL$1()?(no.alignmentEdge&&no.alignmentEdge%2===0&&(no.alignmentEdge=no.alignmentEdge*-1),to!==void 0?DirectionalDictionary[to]:no):no}function _getAlignmentData(eo,to,ro,no,oo){return eo.isAuto&&(eo.alignmentEdge=getClosestEdge(eo.targetEdge,to,ro)),eo.alignTargetEdge=oo,eo}function getClosestEdge(eo,to,ro){var no=_getCenterValue(to,eo),oo=_getCenterValue(ro,eo),io=_getFlankingEdges(eo),so=io.positiveEdge,ao=io.negativeEdge;return no<=oo?so:ao}function _positionElementWithinBounds(eo,to,ro,no,oo,io,so,ao,lo){io===void 0&&(io=!1);var uo=_estimatePosition(eo,to,no,oo,lo);return _isRectangleWithinBounds(uo,ro)?{elementRectangle:uo,targetEdge:no.targetEdge,alignmentEdge:no.alignmentEdge}:_adjustFitWithinBounds(uo,to,ro,no,io,so,oo,ao,lo)}function _finalizeBeakPosition(eo,to,ro){var no=eo.targetEdge*-1,oo=new Rectangle(0,eo.elementRectangle.width,0,eo.elementRectangle.height),io={},so=_finalizeReturnEdge(eo.elementRectangle,eo.alignmentEdge?eo.alignmentEdge:_getFlankingEdges(no).positiveEdge,ro),ao=_getRelativeEdgeDifference(eo.elementRectangle,eo.targetRectangle,no),lo=ao>Math.abs(_getEdgeValue(to,no));return io[RectangleEdge[no]]=_getEdgeValue(to,no),io[RectangleEdge[so]]=_getRelativeEdgeDifference(to,oo,so),{elementPosition:__assign$4({},io),closestEdge:getClosestEdge(eo.targetEdge,to,oo),targetEdge:no,hideBeak:!lo}}function _positionBeak(eo,to){var ro=to.targetRectangle,no=_getFlankingEdges(to.targetEdge),oo=no.positiveEdge,io=no.negativeEdge,so=_getCenterValue(ro,to.targetEdge),ao=new Rectangle(eo/2,to.elementRectangle.width-eo/2,eo/2,to.elementRectangle.height-eo/2),lo=new Rectangle(0,eo,0,eo);return lo=_moveEdge(lo,to.targetEdge*-1,-eo/2),lo=_centerEdgeToPoint(lo,to.targetEdge*-1,so-_getRelativeRectEdgeValue(oo,to.elementRectangle)),_isEdgeInBounds(lo,ao,oo)?_isEdgeInBounds(lo,ao,io)||(lo=_alignEdges(lo,ao,io)):lo=_alignEdges(lo,ao,oo),lo}function _getRectangleFromElement(eo){var to=eo.getBoundingClientRect();return new Rectangle(to.left,to.right,to.top,to.bottom)}function _getRectangleFromIRect(eo){return new Rectangle(eo.left,eo.right,eo.top,eo.bottom)}function _getTargetRect(eo,to){var ro;if(to){if(to.preventDefault){var no=to;ro=new Rectangle(no.clientX,no.clientX,no.clientY,no.clientY)}else if(to.getBoundingClientRect)ro=_getRectangleFromElement(to);else{var oo=to,io=oo.left||oo.x,so=oo.top||oo.y,ao=oo.right||io,lo=oo.bottom||so;ro=new Rectangle(io,ao,so,lo)}if(!_isRectangleWithinBounds(ro,eo))for(var uo=_getOutOfBoundsEdges(ro,eo),co=0,fo=uo;co<fo.length;co++){var ho=fo[co];ro[RectangleEdge[ho]]=eo[RectangleEdge[ho]]}}else ro=new Rectangle(0,0,0,0);return ro}function _positionElementRelative(eo,to,ro,no,oo,io){oo===void 0&&(oo=!1);var so=eo.gapSpace?eo.gapSpace:0,ao=_getTargetRect(ro,eo.target),lo=_getAlignmentData(_getPositionData(eo.directionalHint,eo.directionalHintForRTL,no),ao,ro,eo.coverTarget,eo.alignTargetEdge),uo=_positionElementWithinBounds(_getRectangleFromElement(to),ao,ro,lo,so,oo,io,eo.directionalHintFixed,eo.coverTarget);return __assign$4(__assign$4({},uo),{targetRectangle:ao})}function 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filteredEventProps,onFilterEvent=function(eo){eo.eventPhase===Event.BUBBLING_PHASE&&eo.type!=="mouseenter"&&eo.type!=="mouseleave"&&eo.type!=="touchstart"&&eo.type!=="touchend"&&eo.stopPropagation()};function getFilteredEvents(){return filteredEventProps||(filteredEventProps={},["onClick","onContextMenu","onDoubleClick","onDrag","onDragEnd","onDragEnter","onDragExit","onDragLeave","onDragOver","onDragStart","onDrop","onMouseDown","onMouseEnter","onMouseLeave","onMouseMove","onMouseOver","onMouseOut","onMouseUp","onTouchMove","onTouchStart","onTouchCancel","onTouchEnd","onKeyDown","onKeyPress","onKeyUp","onFocus","onBlur","onChange","onInput","onInvalid","onSubmit"].forEach(function(eo){return filteredEventProps[eo]=onFilterEvent})),filteredEventProps}var GlobalClassNames$6={root:"ms-Layer",rootNoHost:"ms-Layer--fixed",content:"ms-Layer-content"},getStyles$7=function(eo){var to=eo.className,ro=eo.isNotHost,no=eo.theme,oo=getGlobalClassNames(GlobalClassNames$6,no);return{root:[oo.root,no.fonts.medium,ro&&[oo.rootNoHost,{position:"fixed",zIndex:ZIndexes.Layer,top:0,left:0,bottom:0,right:0,visibility:"hidden"}],to],content:[oo.content,{visibility:"visible"}]}},Layer=styled(LayerBase,getStyles$7,void 0,{scope:"Layer",fields:["hostId","theme","styles"]}),Callout=reactExports.forwardRef(function(eo,to){var ro=eo.layerProps,no=eo.doNotLayer,oo=__rest$1(eo,["layerProps","doNotLayer"]),io=reactExports.createElement(CalloutContent,__assign$4({},oo,{doNotLayer:no,ref:to}));return no?io:reactExports.createElement(Layer,__assign$4({},ro),io)});Callout.displayName="Callout";var COMPONENT_NAME$1="FocusTrapZone",DEFAULT_PROPS$2={disabled:!1,disableFirstFocus:!1,forceFocusInsideTrap:!0,isClickableOutsideFocusTrap:!1},useComponentRef$1=function(eo,to,ro){reactExports.useImperativeHandle(eo,function(){return{get previouslyFocusedElement(){return to},focus:ro}},[ro,to])},FocusTrapZone=reactExports.forwardRef(function(eo,to){var ro,no=reactExports.useRef(null),oo=reactExports.useRef(null),io=reactExports.useRef(null),so=useMergedRefs(no,to),ao=useDocument(),lo=(ro=usePrevious(!1))!==null&&ro!==void 0?ro:!0,uo=getPropsWithDefaults(DEFAULT_PROPS$2,eo),co=useConst$1({hasFocus:!1,focusStackId:useId("ftz-",uo.id)}),fo=uo.children,ho=uo.componentRef,po=uo.disabled,go=uo.disableFirstFocus,vo=uo.forceFocusInsideTrap,bo=uo.focusPreviouslyFocusedInnerElement,xo=uo.firstFocusableSelector,_o=uo.firstFocusableTarget,Eo=uo.disableRestoreFocus,So=Eo===void 0?uo.ignoreExternalFocusing:Eo,To=uo.isClickableOutsideFocusTrap,wo=uo.enableAriaHiddenSiblings,Co={"aria-hidden":!0,style:{pointerEvents:"none",position:"fixed"},tabIndex:po?-1:0,"data-is-visible":!0,"data-is-focus-trap-zone-bumper":!0},Oo=reactExports.useCallback(function(Fo){Fo!==oo.current&&Fo!==io.current&&focusAsync(Fo)},[]),Ao=useEventCallback$2(function(){if(no.current){var 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0||$o.call(uo,Fo),Fo.target===oo.current?Ro(!0):Fo.target===io.current&&Ro(!1),co.hasFocus=!0,Fo.target!==Fo.currentTarget&&!(Fo.target===oo.current||Fo.target===io.current)&&(co.previouslyFocusedElementInTrapZone=Fo.target)},Do=useEventCallback$2(function(Fo){if(FocusTrapZone.focusStack=FocusTrapZone.focusStack.filter(function(Lo){return co.focusStackId!==Lo}),!!ao){var $o=ao.activeElement;!So&&typeof(Fo==null?void 0:Fo.focus)=="function"&&(elementContains(no.current,$o)||$o===ao.body)&&Oo(Fo)}}),jo=useEventCallback$2(function(Fo){if(!po&&co.focusStackId===FocusTrapZone.focusStack.slice(-1)[0]){var $o=Fo.target;$o&&!elementContains(no.current,$o)&&(ao&&ao.activeElement===ao.body?setTimeout(function(){ao&&ao.activeElement===ao.body&&(Ao(),co.hasFocus=!0)},0):(Ao(),co.hasFocus=!0),Fo.preventDefault(),Fo.stopPropagation())}});return reactExports.useEffect(function(){var Fo=[];return vo&&Fo.push(on$1(window,"focus",jo,!0)),To||Fo.push(on$1(window,"click",jo,!0)),function(){Fo.forEach(function($o){return $o()})}},[vo,To]),reactExports.useEffect(function(){if(!(po||!lo&&!vo||!no.current)){FocusTrapZone.focusStack.push(co.focusStackId);var Fo=uo.elementToFocusOnDismiss||ao.activeElement;return!go&&!elementContains(no.current,Fo)&&Ao(),function(){return Do(Fo)}}},[vo,po]),reactExports.useEffect(function(){if(!po&&wo){var Fo=modalize(no.current);return Fo}},[po,wo,no]),useUnmount(function(){delete co.previouslyFocusedElementInTrapZone}),useComponentRef$1(ho,co.previouslyFocusedElementInTrapZone,Ao),reactExports.createElement("div",__assign$4({"aria-labelledby":uo.ariaLabelledBy},getNativeProps(uo,divProperties),{ref:so,onFocusCapture:Mo,onBlurCapture:No}),reactExports.createElement("div",__assign$4({},Co,{ref:oo})),fo,reactExports.createElement("div",__assign$4({},Co,{ref:io})))});FocusTrapZone.displayName=COMPONENT_NAME$1;FocusTrapZone.focusStack=[];var IconType;(function(eo){eo[eo.default=0]="default",eo[eo.image=1]="image",eo[eo.Default=1e5]="Default",eo[eo.Image=100001]="Image"})(IconType||(IconType={}));var ImageFit;(function(eo){eo[eo.center=0]="center",eo[eo.contain=1]="contain",eo[eo.cover=2]="cover",eo[eo.none=3]="none",eo[eo.centerCover=4]="centerCover",eo[eo.centerContain=5]="centerContain"})(ImageFit||(ImageFit={}));var ImageCoverStyle;(function(eo){eo[eo.landscape=0]="landscape",eo[eo.portrait=1]="portrait"})(ImageCoverStyle||(ImageCoverStyle={}));var ImageLoadState;(function(eo){eo[eo.notLoaded=0]="notLoaded",eo[eo.loaded=1]="loaded",eo[eo.error=2]="error",eo[eo.errorLoaded=3]="errorLoaded"})(ImageLoadState||(ImageLoadState={}));var getClassNames$6=classNamesFunction(),SVG_REGEX=/\.svg$/i,KEY_PREFIX="fabricImage";function useLoadState(eo,to){var ro=eo.onLoadingStateChange,no=eo.onLoad,oo=eo.onError,io=eo.src,so=reactExports.useState(ImageLoadState.notLoaded),ao=so[0],lo=so[1];useIsomorphicLayoutEffect(function(){lo(ImageLoadState.notLoaded)},[io]),reactExports.useEffect(function(){if(ao===ImageLoadState.notLoaded){var fo=to.current?io&&to.current.naturalWidth>0&&to.current.naturalHeight>0||to.current.complete&&SVG_REGEX.test(io):!1;fo&&lo(ImageLoadState.loaded)}}),reactExports.useEffect(function(){ro==null||ro(ao)},[ao]);var uo=reactExports.useCallback(function(fo){no==null||no(fo),io&&lo(ImageLoadState.loaded)},[io,no]),co=reactExports.useCallback(function(fo){oo==null||oo(fo),lo(ImageLoadState.error)},[oo]);return[ao,uo,co]}var ImageBase=reactExports.forwardRef(function(eo,to){var ro=reactExports.useRef(),no=reactExports.useRef(),oo=useLoadState(eo,no),io=oo[0],so=oo[1],ao=oo[2],lo=getNativeProps(eo,imgProperties,["width","height"]),uo=eo.src,co=eo.alt,fo=eo.width,ho=eo.height,po=eo.shouldFadeIn,go=po===void 0?!0:po,vo=eo.shouldStartVisible,bo=eo.className,xo=eo.imageFit,_o=eo.role,Eo=eo.maximizeFrame,So=eo.styles,To=eo.theme,wo=eo.loading,Co=useCoverStyle(eo,io,no,ro),Oo=getClassNames$6(So,{theme:To,className:bo,width:fo,height:ho,maximizeFrame:Eo,shouldFadeIn:go,shouldStartVisible:vo,isLoaded:io===ImageLoadState.loaded||io===ImageLoadState.notLoaded&&eo.shouldStartVisible,isLandscape:Co===ImageCoverStyle.landscape,isCenter:xo===ImageFit.center,isCenterContain:xo===ImageFit.centerContain,isCenterCover:xo===ImageFit.centerCover,isContain:xo===ImageFit.contain,isCover:xo===ImageFit.cover,isNone:xo===ImageFit.none,isError:io===ImageLoadState.error,isNotImageFit:xo===void 0});return reactExports.createElement("div",{className:Oo.root,style:{width:fo,height:ho},ref:ro},reactExports.createElement("img",__assign$4({},lo,{onLoad:so,onError:ao,key:KEY_PREFIX+eo.src||"",className:Oo.image,ref:useMergedRefs(no,to),src:uo,alt:co,role:_o,loading:wo})))});ImageBase.displayName="ImageBase";function useCoverStyle(eo,to,ro,no){var oo=reactExports.useRef(to),io=reactExports.useRef();return(io===void 0||oo.current===ImageLoadState.notLoaded&&to===ImageLoadState.loaded)&&(io.current=computeCoverStyle(eo,to,ro,no)),oo.current=to,io.current}function computeCoverStyle(eo,to,ro,no){var oo=eo.imageFit,io=eo.width,so=eo.height;if(eo.coverStyle!==void 0)return eo.coverStyle;if(to===ImageLoadState.loaded&&(oo===ImageFit.cover||oo===ImageFit.contain||oo===ImageFit.centerContain||oo===ImageFit.centerCover)&&ro.current&&no.current){var ao=void 0;typeof io=="number"&&typeof so=="number"&&oo!==ImageFit.centerContain&&oo!==ImageFit.centerCover?ao=io/so:ao=no.current.clientWidth/no.current.clientHeight;var lo=ro.current.naturalWidth/ro.current.naturalHeight;if(lo>ao)return ImageCoverStyle.landscape}return ImageCoverStyle.portrait}var GlobalClassNames$5={root:"ms-Image",rootMaximizeFrame:"ms-Image--maximizeFrame",image:"ms-Image-image",imageCenter:"ms-Image-image--center",imageContain:"ms-Image-image--contain",imageCover:"ms-Image-image--cover",imageCenterContain:"ms-Image-image--centerContain",imageCenterCover:"ms-Image-image--centerCover",imageNone:"ms-Image-image--none",imageLandscape:"ms-Image-image--landscape",imagePortrait:"ms-Image-image--portrait"},getStyles$6=function(eo){var to=eo.className,ro=eo.width,no=eo.height,oo=eo.maximizeFrame,io=eo.isLoaded,so=eo.shouldFadeIn,ao=eo.shouldStartVisible,lo=eo.isLandscape,uo=eo.isCenter,co=eo.isContain,fo=eo.isCover,ho=eo.isCenterContain,po=eo.isCenterCover,go=eo.isNone,vo=eo.isError,bo=eo.isNotImageFit,xo=eo.theme,_o=getGlobalClassNames(GlobalClassNames$5,xo),Eo={position:"absolute",left:"50% /* @noflip */",top:"50%",transform:"translate(-50%,-50%)"},So=getWindow(),To=So!==void 0&&So.navigator.msMaxTouchPoints===void 0,wo=co&&lo||fo&&!lo?{width:"100%",height:"auto"}:{width:"auto",height:"100%"};return{root:[_o.root,xo.fonts.medium,{overflow:"hidden"},oo&&[_o.rootMaximizeFrame,{height:"100%",width:"100%"}],io&&so&&!ao&&AnimationClassNames.fadeIn400,(uo||co||fo||ho||po)&&{position:"relative"},to],image:[_o.image,{display:"block",opacity:0},io&&["is-loaded",{opacity:1}],uo&&[_o.imageCenter,Eo],co&&[_o.imageContain,To&&{width:"100%",height:"100%",objectFit:"contain"},!To&&wo,!To&&Eo],fo&&[_o.imageCover,To&&{width:"100%",height:"100%",objectFit:"cover"},!To&&wo,!To&&Eo],ho&&[_o.imageCenterContain,lo&&{maxWidth:"100%"},!lo&&{maxHeight:"100%"},Eo],po&&[_o.imageCenterCover,lo&&{maxHeight:"100%"},!lo&&{maxWidth:"100%"},Eo],go&&[_o.imageNone,{width:"auto",height:"auto"}],bo&&[!!ro&&!no&&{height:"auto",width:"100%"},!ro&&!!no&&{height:"100%",width:"auto"},!!ro&&!!no&&{height:"100%",width:"100%"}],lo&&_o.imageLandscape,!lo&&_o.imagePortrait,!io&&"is-notLoaded",so&&"is-fadeIn",vo&&"is-error"]}},Image$1=styled(ImageBase,getStyles$6,void 0,{scope:"Image"},!0);Image$1.displayName="Image";var classNames=mergeStyleSets({root:{display:"inline-block"},placeholder:["ms-Icon-placeHolder",{width:"1em"}],image:["ms-Icon-imageContainer",{overflow:"hidden"}]}),MS_ICON="ms-Icon",getStyles$5=function(eo){var to=eo.className,ro=eo.iconClassName,no=eo.isPlaceholder,oo=eo.isImage,io=eo.styles;return{root:[no&&classNames.placeholder,classNames.root,oo&&classNames.image,ro,to,io&&io.root,io&&io.imageContainer]}},getIconContent=memoizeFunction(function(eo){var to=getIcon(eo)||{subset:{},code:void 0},ro=to.code,no=to.subset;return ro?{children:ro,iconClassName:no.className,fontFamily:no.fontFace&&no.fontFace.fontFamily,mergeImageProps:no.mergeImageProps}:null},void 0,!0),FontIcon=function(eo){var to=eo.iconName,ro=eo.className,no=eo.style,oo=no===void 0?{}:no,io=getIconContent(to)||{},so=io.iconClassName,ao=io.children,lo=io.fontFamily,uo=io.mergeImageProps,co=getNativeProps(eo,htmlElementProperties),fo=eo["aria-label"]||eo.title,ho=eo["aria-label"]||eo["aria-labelledby"]||eo.title?{role:uo?void 0:"img"}:{"aria-hidden":!0},po=ao;return uo&&typeof ao=="object"&&typeof ao.props=="object"&&fo&&(po=reactExports.cloneElement(ao,{alt:fo})),reactExports.createElement("i",__assign$4({"data-icon-name":to},ho,co,uo?{title:void 0,"aria-label":void 0}:{},{className:css$3(MS_ICON,classNames.root,so,!to&&classNames.placeholder,ro),style:__assign$4({fontFamily:lo},oo)}),po)};memoizeFunction(function(eo,to,ro){return FontIcon({iconName:eo,className:to,"aria-label":ro})});var getClassNames$5=classNamesFunction({cacheSize:100}),IconBase=function(eo){__extends$3(to,eo);function to(ro){var no=eo.call(this,ro)||this;return no._onImageLoadingStateChange=function(oo){no.props.imageProps&&no.props.imageProps.onLoadingStateChange&&no.props.imageProps.onLoadingStateChange(oo),oo===ImageLoadState.error&&no.setState({imageLoadError:!0})},no.state={imageLoadError:!1},no}return to.prototype.render=function(){var ro=this.props,no=ro.children,oo=ro.className,io=ro.styles,so=ro.iconName,ao=ro.imageErrorAs,lo=ro.theme,uo=typeof so=="string"&&so.length===0,co=!!this.props.imageProps||this.props.iconType===IconType.image||this.props.iconType===IconType.Image,fo=getIconContent(so)||{},ho=fo.iconClassName,po=fo.children,go=fo.mergeImageProps,vo=getClassNames$5(io,{theme:lo,className:oo,iconClassName:ho,isImage:co,isPlaceholder:uo}),bo=co?"span":"i",xo=getNativeProps(this.props,htmlElementProperties,["aria-label"]),_o=this.state.imageLoadError,Eo=__assign$4(__assign$4({},this.props.imageProps),{onLoadingStateChange:this._onImageLoadingStateChange}),So=_o&&ao||Image$1,To=this.props["aria-label"]||this.props.ariaLabel,wo=Eo.alt||To||this.props.title,Co=!!(wo||this.props["aria-labelledby"]||Eo["aria-label"]||Eo["aria-labelledby"]),Oo=Co?{role:co||go?void 0:"img","aria-label":co||go?void 0:wo}:{"aria-hidden":!0},Ao=po;return go&&po&&typeof po=="object"&&wo&&(Ao=reactExports.cloneElement(po,{alt:wo})),reactExports.createElement(bo,__assign$4({"data-icon-name":so},Oo,xo,go?{title:void 0,"aria-label":void 0}:{},{className:vo.root}),co?reactExports.createElement(So,__assign$4({},Eo)):no||Ao)},to}(reactExports.Component),Icon=styled(IconBase,getStyles$5,void 0,{scope:"Icon"},!0);Icon.displayName="Icon";var FocusZoneTabbableElements={none:0,all:1,inputOnly:2},FocusZoneDirection;(function(eo){eo[eo.vertical=0]="vertical",eo[eo.horizontal=1]="horizontal",eo[eo.bidirectional=2]="bidirectional",eo[eo.domOrder=3]="domOrder"})(FocusZoneDirection||(FocusZoneDirection={}));var IS_FOCUSABLE_ATTRIBUTE="data-is-focusable",IS_ENTER_DISABLED_ATTRIBUTE="data-disable-click-on-enter",FOCUSZONE_ID_ATTRIBUTE="data-focuszone-id",TABINDEX="tabindex",NO_VERTICAL_WRAP="data-no-vertical-wrap",NO_HORIZONTAL_WRAP="data-no-horizontal-wrap",LARGE_DISTANCE_FROM_CENTER=999999999,LARGE_NEGATIVE_DISTANCE_FROM_CENTER=-999999999,focusZoneStyles,focusZoneClass="ms-FocusZone";function raiseClickFromKeyboardEvent(eo,to){var ro;typeof MouseEvent=="function"?ro=new MouseEvent("click",{ctrlKey:to==null?void 0:to.ctrlKey,metaKey:to==null?void 0:to.metaKey,shiftKey:to==null?void 0:to.shiftKey,altKey:to==null?void 0:to.altKey,bubbles:to==null?void 0:to.bubbles,cancelable:to==null?void 0:to.cancelable}):(ro=document.createEvent("MouseEvents"),ro.initMouseEvent("click",to?to.bubbles:!1,to?to.cancelable:!1,window,0,0,0,0,0,to?to.ctrlKey:!1,to?to.altKey:!1,to?to.shiftKey:!1,to?to.metaKey:!1,0,null)),eo.dispatchEvent(ro)}function getRootClass(){return focusZoneStyles||(focusZoneStyles=mergeStyles$1({selectors:{":focus":{outline:"none"}}},focusZoneClass)),focusZoneStyles}var _allInstances={},_outerZones=new Set,ALLOWED_INPUT_TYPES=["text","number","password","email","tel","url","search","textarea"],ALLOW_VIRTUAL_ELEMENTS=!1,FocusZone=function(eo){__extends$3(to,eo);function to(ro){var no=this,oo,io,so,ao;no=eo.call(this,ro)||this,no._root=reactExports.createRef(),no._mergedRef=createMergedRef(),no._onFocus=function(uo){if(!no._portalContainsElement(uo.target)){var co=no.props,fo=co.onActiveElementChanged,ho=co.doNotAllowFocusEventToPropagate,po=co.stopFocusPropagation,go=co.onFocusNotification,vo=co.onFocus,bo=co.shouldFocusInnerElementWhenReceivedFocus,xo=co.defaultTabbableElement,_o=no._isImmediateDescendantOfZone(uo.target),Eo;if(_o)Eo=uo.target;else for(var So=uo.target;So&&So!==no._root.current;){if(isElementTabbable(So)&&no._isImmediateDescendantOfZone(So)){Eo=So;break}So=getParent(So,ALLOW_VIRTUAL_ELEMENTS)}if(bo&&uo.target===no._root.current){var To=xo&&typeof xo=="function"&&no._root.current&&xo(no._root.current);To&&isElementTabbable(To)?(Eo=To,To.focus()):(no.focus(!0),no._activeElement&&(Eo=null))}var wo=!no._activeElement;Eo&&Eo!==no._activeElement&&((_o||wo)&&no._setFocusAlignment(Eo,!0,!0),no._activeElement=Eo,wo&&no._updateTabIndexes()),fo&&fo(no._activeElement,uo),(po||ho)&&uo.stopPropagation(),vo?vo(uo):go&&go()}},no._onBlur=function(){no._setParkedFocus(!1)},no._onMouseDown=function(uo){if(!no._portalContainsElement(uo.target)){var co=no.props.disabled;if(!co){for(var fo=uo.target,ho=[];fo&&fo!==no._root.current;)ho.push(fo),fo=getParent(fo,ALLOW_VIRTUAL_ELEMENTS);for(;ho.length&&(fo=ho.pop(),fo&&isElementTabbable(fo)&&no._setActiveElement(fo,!0),!isElementFocusZone(fo)););}}},no._onKeyDown=function(uo,co){if(!no._portalContainsElement(uo.target)){var fo=no.props,ho=fo.direction,po=fo.disabled,go=fo.isInnerZoneKeystroke,vo=fo.pagingSupportDisabled,bo=fo.shouldEnterInnerZone;if(!po&&(no.props.onKeyDown&&no.props.onKeyDown(uo),!uo.isDefaultPrevented()&&!(no._getDocument().activeElement===no._root.current&&no._isInnerZone))){if((bo&&bo(uo)||go&&go(uo))&&no._isImmediateDescendantOfZone(uo.target)){var xo=no._getFirstInnerZone();if(xo){if(!xo.focus(!0))return}else if(isElementFocusSubZone(uo.target)){if(!no.focusElement(getNextElement(uo.target,uo.target.firstChild,!0)))return}else return}else{if(uo.altKey)return;switch(uo.which){case KeyCodes$1.space:if(no._shouldRaiseClicksOnSpace&&no._tryInvokeClickForFocusable(uo.target,uo))break;return;case KeyCodes$1.left:if(ho!==FocusZoneDirection.vertical&&(no._preventDefaultWhenHandled(uo),no._moveFocusLeft(co)))break;return;case KeyCodes$1.right:if(ho!==FocusZoneDirection.vertical&&(no._preventDefaultWhenHandled(uo),no._moveFocusRight(co)))break;return;case KeyCodes$1.up:if(ho!==FocusZoneDirection.horizontal&&(no._preventDefaultWhenHandled(uo),no._moveFocusUp()))break;return;case KeyCodes$1.down:if(ho!==FocusZoneDirection.horizontal&&(no._preventDefaultWhenHandled(uo),no._moveFocusDown()))break;return;case KeyCodes$1.pageDown:if(!vo&&no._moveFocusPaging(!0))break;return;case KeyCodes$1.pageUp:if(!vo&&no._moveFocusPaging(!1))break;return;case KeyCodes$1.tab:if(no.props.allowTabKey||no.props.handleTabKey===FocusZoneTabbableElements.all||no.props.handleTabKey===FocusZoneTabbableElements.inputOnly&&no._isElementInput(uo.target)){var _o=!1;if(no._processingTabKey=!0,ho===FocusZoneDirection.vertical||!no._shouldWrapFocus(no._activeElement,NO_HORIZONTAL_WRAP))_o=uo.shiftKey?no._moveFocusUp():no._moveFocusDown();else{var Eo=getRTL$1(co)?!uo.shiftKey:uo.shiftKey;_o=Eo?no._moveFocusLeft(co):no._moveFocusRight(co)}if(no._processingTabKey=!1,_o)break;no.props.shouldResetActiveElementWhenTabFromZone&&(no._activeElement=null)}return;case KeyCodes$1.home:if(no._isContentEditableElement(uo.target)||no._isElementInput(uo.target)&&!no._shouldInputLoseFocus(uo.target,!1))return!1;var So=no._root.current&&no._root.current.firstChild;if(no._root.current&&So&&no.focusElement(getNextElement(no._root.current,So,!0)))break;return;case KeyCodes$1.end:if(no._isContentEditableElement(uo.target)||no._isElementInput(uo.target)&&!no._shouldInputLoseFocus(uo.target,!0))return!1;var To=no._root.current&&no._root.current.lastChild;if(no._root.current&&no.focusElement(getPreviousElement(no._root.current,To,!0,!0,!0)))break;return;case KeyCodes$1.enter:if(no._shouldRaiseClicksOnEnter&&no._tryInvokeClickForFocusable(uo.target,uo))break;return;default:return}}uo.preventDefault(),uo.stopPropagation()}}},no._getHorizontalDistanceFromCenter=function(uo,co,fo){var ho=no._focusAlignment.left||no._focusAlignment.x||0,po=Math.floor(fo.top),go=Math.floor(co.bottom),vo=Math.floor(fo.bottom),bo=Math.floor(co.top),xo=uo&&po>go,_o=!uo&&vo<bo;return xo||_o?ho>=fo.left&&ho<=fo.left+fo.width?0:Math.abs(fo.left+fo.width/2-ho):no._shouldWrapFocus(no._activeElement,NO_VERTICAL_WRAP)?LARGE_DISTANCE_FROM_CENTER:LARGE_NEGATIVE_DISTANCE_FROM_CENTER},initializeComponentRef(no),no._id=getId("FocusZone"),no._focusAlignment={left:0,top:0},no._processingTabKey=!1;var lo=(io=(oo=ro.shouldRaiseClicks)!==null&&oo!==void 0?oo:to.defaultProps.shouldRaiseClicks)!==null&&io!==void 0?io:!0;return no._shouldRaiseClicksOnEnter=(so=ro.shouldRaiseClicksOnEnter)!==null&&so!==void 0?so:lo,no._shouldRaiseClicksOnSpace=(ao=ro.shouldRaiseClicksOnSpace)!==null&&ao!==void 0?ao:lo,no}return to.getOuterZones=function(){return _outerZones.size},to._onKeyDownCapture=function(ro){ro.which===KeyCodes$1.tab&&_outerZones.forEach(function(no){return no._updateTabIndexes()})},to.prototype.componentDidMount=function(){var ro=this._root.current;if(_allInstances[this._id]=this,ro){for(var no=getParent(ro,ALLOW_VIRTUAL_ELEMENTS);no&&no!==this._getDocument().body&&no.nodeType===1;){if(isElementFocusZone(no)){this._isInnerZone=!0;break}no=getParent(no,ALLOW_VIRTUAL_ELEMENTS)}this._isInnerZone||(_outerZones.add(this),this._root.current&&this._root.current.addEventListener("keydown",to._onKeyDownCapture,!0)),this._root.current&&this._root.current.addEventListener("blur",this._onBlur,!0),this._updateTabIndexes(),this.props.defaultTabbableElement&&typeof this.props.defaultTabbableElement=="string"?this._activeElement=this._getDocument().querySelector(this.props.defaultTabbableElement):this.props.defaultActiveElement&&(this._activeElement=this._getDocument().querySelector(this.props.defaultActiveElement)),this.props.shouldFocusOnMount&&this.focus()}},to.prototype.componentDidUpdate=function(){var ro=this._root.current,no=this._getDocument();if((this._activeElement&&!elementContains(this._root.current,this._activeElement,ALLOW_VIRTUAL_ELEMENTS)||this._defaultFocusElement&&!elementContains(this._root.current,this._defaultFocusElement,ALLOW_VIRTUAL_ELEMENTS))&&(this._activeElement=null,this._defaultFocusElement=null,this._updateTabIndexes()),!this.props.preventFocusRestoration&&no&&this._lastIndexPath&&(no.activeElement===no.body||no.activeElement===null||no.activeElement===ro)){var oo=getFocusableByIndexPath(ro,this._lastIndexPath);oo?(this._setActiveElement(oo,!0),oo.focus(),this._setParkedFocus(!1)):this._setParkedFocus(!0)}},to.prototype.componentWillUnmount=function(){delete _allInstances[this._id],this._isInnerZone||(_outerZones.delete(this),this._root.current&&this._root.current.removeEventListener("keydown",to._onKeyDownCapture,!0)),this._root.current&&this._root.current.removeEventListener("blur",this._onBlur,!0),this._activeElement=null,this._defaultFocusElement=null},to.prototype.render=function(){var ro=this,no=this.props,oo=no.as,io=no.elementType,so=no.rootProps,ao=no.ariaDescribedBy,lo=no.ariaLabelledBy,uo=no.className,co=getNativeProps(this.props,htmlElementProperties),fo=oo||io||"div";this._evaluateFocusBeforeRender();var ho=getTheme();return reactExports.createElement(fo,__assign$4({"aria-labelledby":lo,"aria-describedby":ao},co,so,{className:css$3(getRootClass(),uo),ref:this._mergedRef(this.props.elementRef,this._root),"data-focuszone-id":this._id,onKeyDown:function(po){return ro._onKeyDown(po,ho)},onFocus:this._onFocus,onMouseDownCapture:this._onMouseDown}),this.props.children)},to.prototype.focus=function(ro,no){if(ro===void 0&&(ro=!1),no===void 0&&(no=!1),this._root.current)if(!ro&&this._root.current.getAttribute(IS_FOCUSABLE_ATTRIBUTE)==="true"&&this._isInnerZone){var oo=this._getOwnerZone(this._root.current);if(oo!==this._root.current){var io=_allInstances[oo.getAttribute(FOCUSZONE_ID_ATTRIBUTE)];return!!io&&io.focusElement(this._root.current)}return!1}else{if(!ro&&this._activeElement&&elementContains(this._root.current,this._activeElement)&&isElementTabbable(this._activeElement)&&(!no||isElementVisibleAndNotHidden(this._activeElement)))return this._activeElement.focus(),!0;var so=this._root.current.firstChild;return this.focusElement(getNextElement(this._root.current,so,!0,void 0,void 0,void 0,void 0,void 0,no))}return!1},to.prototype.focusLast=function(){if(this._root.current){var ro=this._root.current&&this._root.current.lastChild;return this.focusElement(getPreviousElement(this._root.current,ro,!0,!0,!0))}return!1},to.prototype.focusElement=function(ro,no){var oo=this.props,io=oo.onBeforeFocus,so=oo.shouldReceiveFocus;return so&&!so(ro)||io&&!io(ro)?!1:ro?(this._setActiveElement(ro,no),this._activeElement&&this._activeElement.focus(),!0):!1},to.prototype.setFocusAlignment=function(ro){this._focusAlignment=ro},Object.defineProperty(to.prototype,"defaultFocusElement",{get:function(){return this._defaultFocusElement},enumerable:!1,configurable:!0}),Object.defineProperty(to.prototype,"activeElement",{get:function(){return this._activeElement},enumerable:!1,configurable:!0}),to.prototype._evaluateFocusBeforeRender=function(){var ro=this._root.current,no=this._getDocument();if(no){var oo=no.activeElement;if(oo!==ro){var io=elementContains(ro,oo,!1);this._lastIndexPath=io?getElementIndexPath(ro,oo):void 0}}},to.prototype._setParkedFocus=function(ro){var no=this._root.current;no&&this._isParked!==ro&&(this._isParked=ro,ro?(this.props.allowFocusRoot||(this._parkedTabIndex=no.getAttribute("tabindex"),no.setAttribute("tabindex","-1")),no.focus()):this.props.allowFocusRoot||(this._parkedTabIndex?(no.setAttribute("tabindex",this._parkedTabIndex),this._parkedTabIndex=void 0):no.removeAttribute("tabindex")))},to.prototype._setActiveElement=function(ro,no){var oo=this._activeElement;this._activeElement=ro,oo&&(isElementFocusZone(oo)&&this._updateTabIndexes(oo),oo.tabIndex=-1),this._activeElement&&((!this._focusAlignment||no)&&this._setFocusAlignment(ro,!0,!0),this._activeElement.tabIndex=0)},to.prototype._preventDefaultWhenHandled=function(ro){this.props.preventDefaultWhenHandled&&ro.preventDefault()},to.prototype._tryInvokeClickForFocusable=function(ro,no){var oo=ro;if(oo===this._root.current)return!1;do{if(oo.tagName==="BUTTON"||oo.tagName==="A"||oo.tagName==="INPUT"||oo.tagName==="TEXTAREA"||oo.tagName==="SUMMARY")return!1;if(this._isImmediateDescendantOfZone(oo)&&oo.getAttribute(IS_FOCUSABLE_ATTRIBUTE)==="true"&&oo.getAttribute(IS_ENTER_DISABLED_ATTRIBUTE)!=="true")return raiseClickFromKeyboardEvent(oo,no),!0;oo=getParent(oo,ALLOW_VIRTUAL_ELEMENTS)}while(oo!==this._root.current);return!1},to.prototype._getFirstInnerZone=function(ro){if(ro=ro||this._activeElement||this._root.current,!ro)return null;if(isElementFocusZone(ro))return _allInstances[ro.getAttribute(FOCUSZONE_ID_ATTRIBUTE)];for(var no=ro.firstElementChild;no;){if(isElementFocusZone(no))return _allInstances[no.getAttribute(FOCUSZONE_ID_ATTRIBUTE)];var oo=this._getFirstInnerZone(no);if(oo)return oo;no=no.nextElementSibling}return null},to.prototype._moveFocus=function(ro,no,oo,io){io===void 0&&(io=!0);var so=this._activeElement,ao=-1,lo=void 0,uo=!1,co=this.props.direction===FocusZoneDirection.bidirectional;if(!so||!this._root.current||this._isElementInput(so)&&!this._shouldInputLoseFocus(so,ro))return!1;var fo=co?so.getBoundingClientRect():null;do if(so=ro?getNextElement(this._root.current,so):getPreviousElement(this._root.current,so),co){if(so){var ho=so.getBoundingClientRect(),po=no(fo,ho);if(po===-1&&ao===-1){lo=so;break}if(po>-1&&(ao===-1||po<ao)&&(ao=po,lo=so),ao>=0&&po<0)break}}else{lo=so;break}while(so);if(lo&&lo!==this._activeElement)uo=!0,this.focusElement(lo);else if(this.props.isCircularNavigation&&io)return ro?this.focusElement(getNextElement(this._root.current,this._root.current.firstElementChild,!0)):this.focusElement(getPreviousElement(this._root.current,this._root.current.lastElementChild,!0,!0,!0));return uo},to.prototype._moveFocusDown=function(){var ro=this,no=-1,oo=this._focusAlignment.left||this._focusAlignment.x||0;return this._moveFocus(!0,function(io,so){var ao=-1,lo=Math.floor(so.top),uo=Math.floor(io.bottom);return lo<uo?ro._shouldWrapFocus(ro._activeElement,NO_VERTICAL_WRAP)?LARGE_DISTANCE_FROM_CENTER:LARGE_NEGATIVE_DISTANCE_FROM_CENTER:((no===-1&&lo>=uo||lo===no)&&(no=lo,oo>=so.left&&oo<=so.left+so.width?ao=0:ao=Math.abs(so.left+so.width/2-oo)),ao)})?(this._setFocusAlignment(this._activeElement,!1,!0),!0):!1},to.prototype._moveFocusUp=function(){var ro=this,no=-1,oo=this._focusAlignment.left||this._focusAlignment.x||0;return this._moveFocus(!1,function(io,so){var ao=-1,lo=Math.floor(so.bottom),uo=Math.floor(so.top),co=Math.floor(io.top);return lo>co?ro._shouldWrapFocus(ro._activeElement,NO_VERTICAL_WRAP)?LARGE_DISTANCE_FROM_CENTER:LARGE_NEGATIVE_DISTANCE_FROM_CENTER:((no===-1&&lo<=co||uo===no)&&(no=uo,oo>=so.left&&oo<=so.left+so.width?ao=0:ao=Math.abs(so.left+so.width/2-oo)),ao)})?(this._setFocusAlignment(this._activeElement,!1,!0),!0):!1},to.prototype._moveFocusLeft=function(ro){var no=this,oo=this._shouldWrapFocus(this._activeElement,NO_HORIZONTAL_WRAP);return this._moveFocus(getRTL$1(ro),function(io,so){var ao=-1,lo;return getRTL$1(ro)?lo=parseFloat(so.top.toFixed(3))<parseFloat(io.bottom.toFixed(3)):lo=parseFloat(so.bottom.toFixed(3))>parseFloat(io.top.toFixed(3)),lo&&so.right<=io.right&&no.props.direction!==FocusZoneDirection.vertical?ao=io.right-so.right:oo||(ao=LARGE_NEGATIVE_DISTANCE_FROM_CENTER),ao},void 0,oo)?(this._setFocusAlignment(this._activeElement,!0,!1),!0):!1},to.prototype._moveFocusRight=function(ro){var no=this,oo=this._shouldWrapFocus(this._activeElement,NO_HORIZONTAL_WRAP);return this._moveFocus(!getRTL$1(ro),function(io,so){var ao=-1,lo;return getRTL$1(ro)?lo=parseFloat(so.bottom.toFixed(3))>parseFloat(io.top.toFixed(3)):lo=parseFloat(so.top.toFixed(3))<parseFloat(io.bottom.toFixed(3)),lo&&so.left>=io.left&&no.props.direction!==FocusZoneDirection.vertical?ao=so.left-io.left:oo||(ao=LARGE_NEGATIVE_DISTANCE_FROM_CENTER),ao},void 0,oo)?(this._setFocusAlignment(this._activeElement,!0,!1),!0):!1},to.prototype._moveFocusPaging=function(ro,no){no===void 0&&(no=!0);var oo=this._activeElement;if(!oo||!this._root.current||this._isElementInput(oo)&&!this._shouldInputLoseFocus(oo,ro))return!1;var io=findScrollableParent(oo);if(!io)return!1;var so=-1,ao=void 0,lo=-1,uo=-1,co=io.clientHeight,fo=oo.getBoundingClientRect();do if(oo=ro?getNextElement(this._root.current,oo):getPreviousElement(this._root.current,oo),oo){var ho=oo.getBoundingClientRect(),po=Math.floor(ho.top),go=Math.floor(fo.bottom),vo=Math.floor(ho.bottom),bo=Math.floor(fo.top),xo=this._getHorizontalDistanceFromCenter(ro,fo,ho),_o=ro&&po>go+co,Eo=!ro&&vo<bo-co;if(_o||Eo)break;xo>-1&&(ro&&po>lo?(lo=po,so=xo,ao=oo):!ro&&vo<uo?(uo=vo,so=xo,ao=oo):(so===-1||xo<=so)&&(so=xo,ao=oo))}while(oo);var So=!1;if(ao&&ao!==this._activeElement)So=!0,this.focusElement(ao),this._setFocusAlignment(ao,!1,!0);else if(this.props.isCircularNavigation&&no)return ro?this.focusElement(getNextElement(this._root.current,this._root.current.firstElementChild,!0)):this.focusElement(getPreviousElement(this._root.current,this._root.current.lastElementChild,!0,!0,!0));return So},to.prototype._setFocusAlignment=function(ro,no,oo){if(this.props.direction===FocusZoneDirection.bidirectional&&(!this._focusAlignment||no||oo)){var io=ro.getBoundingClientRect(),so=io.left+io.width/2,ao=io.top+io.height/2;this._focusAlignment||(this._focusAlignment={left:so,top:ao}),no&&(this._focusAlignment.left=so),oo&&(this._focusAlignment.top=ao)}},to.prototype._isImmediateDescendantOfZone=function(ro){return this._getOwnerZone(ro)===this._root.current},to.prototype._getOwnerZone=function(ro){for(var no=getParent(ro,ALLOW_VIRTUAL_ELEMENTS);no&&no!==this._root.current&&no!==this._getDocument().body;){if(isElementFocusZone(no))return no;no=getParent(no,ALLOW_VIRTUAL_ELEMENTS)}return no},to.prototype._updateTabIndexes=function(ro){!this._activeElement&&this.props.defaultTabbableElement&&typeof this.props.defaultTabbableElement=="function"&&(this._activeElement=this.props.defaultTabbableElement(this._root.current)),!ro&&this._root.current&&(this._defaultFocusElement=null,ro=this._root.current,this._activeElement&&!elementContains(ro,this._activeElement)&&(this._activeElement=null)),this._activeElement&&!isElementTabbable(this._activeElement)&&(this._activeElement=null);for(var no=ro&&ro.children,oo=0;no&&oo<no.length;oo++){var io=no[oo];isElementFocusZone(io)?io.getAttribute(IS_FOCUSABLE_ATTRIBUTE)==="true"&&(!this._isInnerZone&&(!this._activeElement&&!this._defaultFocusElement||this._activeElement===io)?(this._defaultFocusElement=io,io.getAttribute(TABINDEX)!=="0"&&io.setAttribute(TABINDEX,"0")):io.getAttribute(TABINDEX)!=="-1"&&io.setAttribute(TABINDEX,"-1")):(io.getAttribute&&io.getAttribute(IS_FOCUSABLE_ATTRIBUTE)==="false"&&io.setAttribute(TABINDEX,"-1"),isElementTabbable(io)?this.props.disabled?io.setAttribute(TABINDEX,"-1"):!this._isInnerZone&&(!this._activeElement&&!this._defaultFocusElement||this._activeElement===io)?(this._defaultFocusElement=io,io.getAttribute(TABINDEX)!=="0"&&io.setAttribute(TABINDEX,"0")):io.getAttribute(TABINDEX)!=="-1"&&io.setAttribute(TABINDEX,"-1"):io.tagName==="svg"&&io.getAttribute("focusable")!=="false"&&io.setAttribute("focusable","false")),this._updateTabIndexes(io)}},to.prototype._isContentEditableElement=function(ro){return ro&&ro.getAttribute("contenteditable")==="true"},to.prototype._isElementInput=function(ro){return!!(ro&&ro.tagName&&(ro.tagName.toLowerCase()==="input"||ro.tagName.toLowerCase()==="textarea"))},to.prototype._shouldInputLoseFocus=function(ro,no){if(!this._processingTabKey&&ro&&ro.type&&ALLOWED_INPUT_TYPES.indexOf(ro.type.toLowerCase())>-1){var oo=ro.selectionStart,io=ro.selectionEnd,so=oo!==io,ao=ro.value,lo=ro.readOnly;if(so||oo>0&&!no&&!lo||oo!==ao.length&&no&&!lo||this.props.handleTabKey&&!(this.props.shouldInputLoseFocusOnArrowKey&&this.props.shouldInputLoseFocusOnArrowKey(ro)))return!1}return!0},to.prototype._shouldWrapFocus=function(ro,no){return this.props.checkForNoWrap?shouldWrapFocus(ro,no):!0},to.prototype._portalContainsElement=function(ro){return ro&&!!this._root.current&&portalContainsElement(ro,this._root.current)},to.prototype._getDocument=function(){return getDocument(this._root.current)},to.defaultProps={isCircularNavigation:!1,direction:FocusZoneDirection.bidirectional,shouldRaiseClicks:!0},to}(reactExports.Component),ContextualMenuItemType;(function(eo){eo[eo.Normal=0]="Normal",eo[eo.Divider=1]="Divider",eo[eo.Header=2]="Header",eo[eo.Section=3]="Section"})(ContextualMenuItemType||(ContextualMenuItemType={}));function getIsChecked(eo){return eo.canCheck?!!(eo.isChecked||eo.checked):typeof eo.isChecked=="boolean"?eo.isChecked:typeof eo.checked=="boolean"?eo.checked:null}function hasSubmenu(eo){return!!(eo.subMenuProps||eo.items)}function isItemDisabled(eo){return!!(eo.isDisabled||eo.disabled)}function getMenuItemAriaRole(eo){var to=getIsChecked(eo),ro=to!==null;return ro?"menuitemcheckbox":"menuitem"}var defaultIconRenderer=function(eo){var to=eo.item,ro=eo.classNames,no=to.iconProps;return reactExports.createElement(Icon,__assign$4({},no,{className:ro.icon}))},renderItemIcon=function(eo){var to=eo.item,ro=eo.hasIcons;return ro?to.onRenderIcon?to.onRenderIcon(eo,defaultIconRenderer):defaultIconRenderer(eo):null},renderCheckMarkIcon=function(eo){var to=eo.onCheckmarkClick,ro=eo.item,no=eo.classNames,oo=getIsChecked(ro);if(to){var io=function(so){return to(ro,so)};return reactExports.createElement(Icon,{iconName:ro.canCheck!==!1&&oo?"CheckMark":"",className:no.checkmarkIcon,onClick:io})}return null},renderItemName=function(eo){var to=eo.item,ro=eo.classNames;return to.text||to.name?reactExports.createElement("span",{className:ro.label},to.text||to.name):null},renderSecondaryText=function(eo){var to=eo.item,ro=eo.classNames;return to.secondaryText?reactExports.createElement("span",{className:ro.secondaryText},to.secondaryText):null},renderSubMenuIcon=function(eo){var to=eo.item,ro=eo.classNames,no=eo.theme;return hasSubmenu(to)?reactExports.createElement(Icon,__assign$4({iconName:getRTL$1(no)?"ChevronLeft":"ChevronRight"},to.submenuIconProps,{className:ro.subMenuIcon})):null},ContextualMenuItemBase=function(eo){__extends$3(to,eo);function to(ro){var no=eo.call(this,ro)||this;return no.openSubMenu=function(){var oo=no.props,io=oo.item,so=oo.openSubMenu,ao=oo.getSubmenuTarget;if(ao){var lo=ao();hasSubmenu(io)&&so&&lo&&so(io,lo)}},no.dismissSubMenu=function(){var oo=no.props,io=oo.item,so=oo.dismissSubMenu;hasSubmenu(io)&&so&&so()},no.dismissMenu=function(oo){var io=no.props.dismissMenu;io&&io(void 0,oo)},initializeComponentRef(no),no}return to.prototype.render=function(){var ro=this.props,no=ro.item,oo=ro.classNames,io=no.onRenderContent||this._renderLayout;return reactExports.createElement("div",{className:no.split?oo.linkContentMenu:oo.linkContent},io(this.props,{renderCheckMarkIcon,renderItemIcon,renderItemName,renderSecondaryText,renderSubMenuIcon}))},to.prototype._renderLayout=function(ro,no){return reactExports.createElement(reactExports.Fragment,null,no.renderCheckMarkIcon(ro),no.renderItemIcon(ro),no.renderItemName(ro),no.renderSecondaryText(ro),no.renderSubMenuIcon(ro))},to}(reactExports.Component),getDividerClassNames=memoizeFunction(function(eo){return mergeStyleSets({wrapper:{display:"inline-flex",height:"100%",alignItems:"center"},divider:{width:1,height:"100%",backgroundColor:eo.palette.neutralTertiaryAlt}})}),CONTEXTUAL_MENU_ITEM_HEIGHT=36,MediumScreenSelector$1=getScreenSelector(0,ScreenWidthMaxMedium),getMenuItemStyles=memoizeFunction(function(eo){var to,ro,no,oo,io,so=eo.semanticColors,ao=eo.fonts,lo=eo.palette,uo=so.menuItemBackgroundHovered,co=so.menuItemTextHovered,fo=so.menuItemBackgroundPressed,ho=so.bodyDivider,po={item:[ao.medium,{color:so.bodyText,position:"relative",boxSizing:"border-box"}],divider:{display:"block",height:"1px",backgroundColor:ho,position:"relative"},root:[getFocusStyle(eo),ao.medium,{color:so.bodyText,backgroundColor:"transparent",border:"none",width:"100%",height:CONTEXTUAL_MENU_ITEM_HEIGHT,lineHeight:CONTEXTUAL_MENU_ITEM_HEIGHT,display:"block",cursor:"pointer",padding:"0px 8px 0 4px",textAlign:"left"}],rootDisabled:{color:so.disabledBodyText,cursor:"default",pointerEvents:"none",selectors:(to={},to[HighContrastSelector]={color:"GrayText",opacity:1},to)},rootHovered:{backgroundColor:uo,color:co,selectors:{".ms-ContextualMenu-icon":{color:lo.themeDarkAlt},".ms-ContextualMenu-submenuIcon":{color:lo.neutralPrimary}}},rootFocused:{backgroundColor:lo.white},rootChecked:{selectors:{".ms-ContextualMenu-checkmarkIcon":{color:lo.neutralPrimary}}},rootPressed:{backgroundColor:fo,selectors:{".ms-ContextualMenu-icon":{color:lo.themeDark},".ms-ContextualMenu-submenuIcon":{color:lo.neutralPrimary}}},rootExpanded:{backgroundColor:fo,color:so.bodyTextChecked,selectors:(ro={".ms-ContextualMenu-submenuIcon":(no={},no[HighContrastSelector]={color:"inherit"},no)},ro[HighContrastSelector]=__assign$4({},getHighContrastNoAdjustStyle()),ro)},linkContent:{whiteSpace:"nowrap",height:"inherit",display:"flex",alignItems:"center",maxWidth:"100%"},anchorLink:{padding:"0px 8px 0 4px",textRendering:"auto",color:"inherit",letterSpacing:"normal",wordSpacing:"normal",textTransform:"none",textIndent:"0px",textShadow:"none",textDecoration:"none",boxSizing:"border-box"},label:{margin:"0 4px",verticalAlign:"middle",display:"inline-block",flexGrow:"1",textOverflow:"ellipsis",whiteSpace:"nowrap",overflow:"hidden"},secondaryText:{color:eo.palette.neutralSecondary,paddingLeft:"20px",textAlign:"right"},icon:{display:"inline-block",minHeight:"1px",maxHeight:CONTEXTUAL_MENU_ITEM_HEIGHT,fontSize:IconFontSizes.medium,width:IconFontSizes.medium,margin:"0 4px",verticalAlign:"middle",flexShrink:"0",selectors:(oo={},oo[MediumScreenSelector$1]={fontSize:IconFontSizes.large,width:IconFontSizes.large},oo)},iconColor:{color:so.menuIcon},iconDisabled:{color:so.disabledBodyText},checkmarkIcon:{color:so.bodySubtext},subMenuIcon:{height:CONTEXTUAL_MENU_ITEM_HEIGHT,lineHeight:CONTEXTUAL_MENU_ITEM_HEIGHT,color:lo.neutralSecondary,textAlign:"center",display:"inline-block",verticalAlign:"middle",flexShrink:"0",fontSize:IconFontSizes.small,selectors:(io={":hover":{color:lo.neutralPrimary},":active":{color:lo.neutralPrimary}},io[MediumScreenSelector$1]={fontSize:IconFontSizes.medium},io)},splitButtonFlexContainer:[getFocusStyle(eo),{display:"flex",height:CONTEXTUAL_MENU_ITEM_HEIGHT,flexWrap:"nowrap",justifyContent:"center",alignItems:"flex-start"}]};return concatStyleSets(po)}),CONTEXTUAL_SPLIT_MENU_MINWIDTH="28px",MediumScreenSelector=getScreenSelector(0,ScreenWidthMaxMedium),getSplitButtonVerticalDividerClassNames=memoizeFunction(function(eo){var to;return mergeStyleSets(getDividerClassNames(eo),{wrapper:{position:"absolute",right:28,selectors:(to={},to[MediumScreenSelector]={right:32},to)},divider:{height:16,width:1}})}),GlobalClassNames$4={item:"ms-ContextualMenu-item",divider:"ms-ContextualMenu-divider",root:"ms-ContextualMenu-link",isChecked:"is-checked",isExpanded:"is-expanded",isDisabled:"is-disabled",linkContent:"ms-ContextualMenu-linkContent",linkContentMenu:"ms-ContextualMenu-linkContent",icon:"ms-ContextualMenu-icon",iconColor:"ms-ContextualMenu-iconColor",checkmarkIcon:"ms-ContextualMenu-checkmarkIcon",subMenuIcon:"ms-ContextualMenu-submenuIcon",label:"ms-ContextualMenu-itemText",secondaryText:"ms-ContextualMenu-secondaryText",splitMenu:"ms-ContextualMenu-splitMenu",screenReaderText:"ms-ContextualMenu-screenReaderText"},getItemClassNames=memoizeFunction(function(eo,to,ro,no,oo,io,so,ao,lo,uo,co,fo){var ho,po,go,vo,bo=getMenuItemStyles(eo),xo=getGlobalClassNames(GlobalClassNames$4,eo);return mergeStyleSets({item:[xo.item,bo.item,so],divider:[xo.divider,bo.divider,ao],root:[xo.root,bo.root,no&&[xo.isChecked,bo.rootChecked],oo&&bo.anchorLink,ro&&[xo.isExpanded,bo.rootExpanded],to&&[xo.isDisabled,bo.rootDisabled],!to&&!ro&&[{selectors:(ho={":hover":bo.rootHovered,":active":bo.rootPressed},ho[".".concat(IsFocusVisibleClassName," &:focus, .").concat(IsFocusVisibleClassName," &:focus:hover")]=bo.rootFocused,ho[".".concat(IsFocusVisibleClassName," &:hover")]={background:"inherit;"},ho)}],fo],splitPrimary:[bo.root,{width:"calc(100% - ".concat(CONTEXTUAL_SPLIT_MENU_MINWIDTH,")")},no&&["is-checked",bo.rootChecked],(to||co)&&["is-disabled",bo.rootDisabled],!(to||co)&&!no&&[{selectors:(po={":hover":bo.rootHovered},po[":hover ~ .".concat(xo.splitMenu)]=bo.rootHovered,po[":active"]=bo.rootPressed,po[".".concat(IsFocusVisibleClassName," &:focus, .").concat(IsFocusVisibleClassName," &:focus:hover")]=bo.rootFocused,po[".".concat(IsFocusVisibleClassName," &:hover")]={background:"inherit;"},po)}]],splitMenu:[xo.splitMenu,bo.root,{flexBasis:"0",padding:"0 8px",minWidth:CONTEXTUAL_SPLIT_MENU_MINWIDTH},ro&&["is-expanded",bo.rootExpanded],to&&["is-disabled",bo.rootDisabled],!to&&!ro&&[{selectors:(go={":hover":bo.rootHovered,":active":bo.rootPressed},go[".".concat(IsFocusVisibleClassName," &:focus, .").concat(IsFocusVisibleClassName," &:focus:hover")]=bo.rootFocused,go[".".concat(IsFocusVisibleClassName," &:hover")]={background:"inherit;"},go)}]],anchorLink:bo.anchorLink,linkContent:[xo.linkContent,bo.linkContent],linkContentMenu:[xo.linkContentMenu,bo.linkContent,{justifyContent:"center"}],icon:[xo.icon,io&&bo.iconColor,bo.icon,lo,to&&[xo.isDisabled,bo.iconDisabled]],iconColor:bo.iconColor,checkmarkIcon:[xo.checkmarkIcon,io&&bo.checkmarkIcon,bo.icon,lo],subMenuIcon:[xo.subMenuIcon,bo.subMenuIcon,uo,ro&&{color:eo.palette.neutralPrimary},to&&[bo.iconDisabled]],label:[xo.label,bo.label],secondaryText:[xo.secondaryText,bo.secondaryText],splitContainer:[bo.splitButtonFlexContainer,!to&&!no&&[{selectors:(vo={},vo[".".concat(IsFocusVisibleClassName," &:focus, .").concat(IsFocusVisibleClassName," &:focus:hover")]=bo.rootFocused,vo)}]],screenReaderText:[xo.screenReaderText,bo.screenReaderText,hiddenContentStyle,{visibility:"hidden"}]})}),getItemStyles=function(eo){var to=eo.theme,ro=eo.disabled,no=eo.expanded,oo=eo.checked,io=eo.isAnchorLink,so=eo.knownIcon,ao=eo.itemClassName,lo=eo.dividerClassName,uo=eo.iconClassName,co=eo.subMenuClassName,fo=eo.primaryDisabled,ho=eo.className;return getItemClassNames(to,ro,no,oo,io,so,ao,lo,uo,co,fo,ho)},ContextualMenuItem=styled(ContextualMenuItemBase,getItemStyles,void 0,{scope:"ContextualMenuItem"}),ContextualMenuItemWrapper=function(eo){__extends$3(to,eo);function to(ro){var no=eo.call(this,ro)||this;return no._onItemMouseEnter=function(oo){var io=no.props,so=io.item,ao=io.onItemMouseEnter;ao&&ao(so,oo,oo.currentTarget)},no._onItemClick=function(oo){var io=no.props,so=io.item,ao=io.onItemClickBase;ao&&ao(so,oo,oo.currentTarget)},no._onItemMouseLeave=function(oo){var io=no.props,so=io.item,ao=io.onItemMouseLeave;ao&&ao(so,oo)},no._onItemKeyDown=function(oo){var io=no.props,so=io.item,ao=io.onItemKeyDown;ao&&ao(so,oo)},no._onItemMouseMove=function(oo){var io=no.props,so=io.item,ao=io.onItemMouseMove;ao&&ao(so,oo,oo.currentTarget)},no._getSubmenuTarget=function(){},initializeComponentRef(no),no}return to.prototype.shouldComponentUpdate=function(ro){return!shallowCompare(ro,this.props)},to}(reactExports.Component),KTP_PREFIX="ktp",KTP_SEPARATOR="-",DATAKTP_TARGET="data-ktp-target",DATAKTP_EXECUTE_TARGET="data-ktp-execute-target",KTP_LAYER_ID="ktp-layer-id",KeytipEvents;(function(eo){eo.KEYTIP_ADDED="keytipAdded",eo.KEYTIP_REMOVED="keytipRemoved",eo.KEYTIP_UPDATED="keytipUpdated",eo.PERSISTED_KEYTIP_ADDED="persistedKeytipAdded",eo.PERSISTED_KEYTIP_REMOVED="persistedKeytipRemoved",eo.PERSISTED_KEYTIP_EXECUTE="persistedKeytipExecute",eo.ENTER_KEYTIP_MODE="enterKeytipMode",eo.EXIT_KEYTIP_MODE="exitKeytipMode"})(KeytipEvents||(KeytipEvents={}));var KeytipManager=function(){function eo(){this.keytips={},this.persistedKeytips={},this.sequenceMapping={},this.inKeytipMode=!1,this.shouldEnterKeytipMode=!0,this.delayUpdatingKeytipChange=!1}return eo.getInstance=function(){return this._instance},eo.prototype.init=function(to){this.delayUpdatingKeytipChange=to},eo.prototype.register=function(to,ro){ro===void 0&&(ro=!1);var no=to;ro||(no=this.addParentOverflow(to),this.sequenceMapping[no.keySequences.toString()]=no);var oo=this._getUniqueKtp(no);if(ro?this.persistedKeytips[oo.uniqueID]=oo:this.keytips[oo.uniqueID]=oo,this.inKeytipMode||!this.delayUpdatingKeytipChange){var io=ro?KeytipEvents.PERSISTED_KEYTIP_ADDED:KeytipEvents.KEYTIP_ADDED;EventGroup.raise(this,io,{keytip:no,uniqueID:oo.uniqueID})}return oo.uniqueID},eo.prototype.update=function(to,ro){var no=this.addParentOverflow(to),oo=this._getUniqueKtp(no,ro),io=this.keytips[ro];io&&(oo.keytip.visible=io.keytip.visible,this.keytips[ro]=oo,delete this.sequenceMapping[io.keytip.keySequences.toString()],this.sequenceMapping[oo.keytip.keySequences.toString()]=oo.keytip,(this.inKeytipMode||!this.delayUpdatingKeytipChange)&&EventGroup.raise(this,KeytipEvents.KEYTIP_UPDATED,{keytip:oo.keytip,uniqueID:oo.uniqueID}))},eo.prototype.unregister=function(to,ro,no){no===void 0&&(no=!1),no?delete this.persistedKeytips[ro]:delete this.keytips[ro],!no&&delete this.sequenceMapping[to.keySequences.toString()];var oo=no?KeytipEvents.PERSISTED_KEYTIP_REMOVED:KeytipEvents.KEYTIP_REMOVED;(this.inKeytipMode||!this.delayUpdatingKeytipChange)&&EventGroup.raise(this,oo,{keytip:to,uniqueID:ro})},eo.prototype.enterKeytipMode=function(){EventGroup.raise(this,KeytipEvents.ENTER_KEYTIP_MODE)},eo.prototype.exitKeytipMode=function(){EventGroup.raise(this,KeytipEvents.EXIT_KEYTIP_MODE)},eo.prototype.getKeytips=function(){var to=this;return Object.keys(this.keytips).map(function(ro){return to.keytips[ro].keytip})},eo.prototype.addParentOverflow=function(to){var ro=__spreadArray$1([],to.keySequences,!0);if(ro.pop(),ro.length!==0){var no=this.sequenceMapping[ro.toString()];if(no&&no.overflowSetSequence)return __assign$4(__assign$4({},to),{overflowSetSequence:no.overflowSetSequence})}return to},eo.prototype.menuExecute=function(to,ro){EventGroup.raise(this,KeytipEvents.PERSISTED_KEYTIP_EXECUTE,{overflowButtonSequences:to,keytipSequences:ro})},eo.prototype._getUniqueKtp=function(to,ro){return ro===void 0&&(ro=getId()),{keytip:__assign$4({},to),uniqueID:ro}},eo._instance=new eo,eo}();function sequencesToID(eo){return eo.reduce(function(to,ro){return to+KTP_SEPARATOR+ro.split("").join(KTP_SEPARATOR)},KTP_PREFIX)}function mergeOverflows(eo,to){var ro=to.length,no=__spreadArray$1([],to,!0).pop(),oo=__spreadArray$1([],eo,!0);return addElementAtIndex(oo,ro-1,no)}function getAriaDescribedBy(eo){var to=" "+KTP_LAYER_ID;return eo.length?to+" "+sequencesToID(eo):to}function useKeytipData(eo){var to=reactExports.useRef(),ro=eo.keytipProps?__assign$4({disabled:eo.disabled},eo.keytipProps):void 0,no=useConst$1(KeytipManager.getInstance()),oo=usePrevious(eo);useIsomorphicLayoutEffect(function(){to.current&&ro&&((oo==null?void 0:oo.keytipProps)!==eo.keytipProps||(oo==null?void 0:oo.disabled)!==eo.disabled)&&no.update(ro,to.current)}),useIsomorphicLayoutEffect(function(){return ro&&(to.current=no.register(ro)),function(){ro&&no.unregister(ro,to.current)}},[]);var io={ariaDescribedBy:void 0,keytipId:void 0};return ro&&(io=getKeytipData(no,ro,eo.ariaDescribedBy)),io}function getKeytipData(eo,to,ro){var no=eo.addParentOverflow(to),oo=mergeAriaAttributeValues(ro,getAriaDescribedBy(no.keySequences)),io=__spreadArray$1([],no.keySequences,!0);no.overflowSetSequence&&(io=mergeOverflows(io,no.overflowSetSequence));var so=sequencesToID(io);return{ariaDescribedBy:oo,keytipId:so}}var KeytipData=function(eo){var to,ro=eo.children,no=__rest$1(eo,["children"]),oo=useKeytipData(no),io=oo.keytipId,so=oo.ariaDescribedBy;return ro((to={},to[DATAKTP_TARGET]=io,to[DATAKTP_EXECUTE_TARGET]=io,to["aria-describedby"]=so,to))},ContextualMenuAnchor=function(eo){__extends$3(to,eo);function to(){var ro=eo!==null&&eo.apply(this,arguments)||this;return ro._anchor=reactExports.createRef(),ro._getMemoizedMenuButtonKeytipProps=memoizeFunction(function(no){return __assign$4(__assign$4({},no),{hasMenu:!0})}),ro._getSubmenuTarget=function(){return ro._anchor.current?ro._anchor.current:void 0},ro._onItemClick=function(no){var oo=ro.props,io=oo.item,so=oo.onItemClick;so&&so(io,no)},ro._renderAriaDescription=function(no,oo){return no?reactExports.createElement("span",{id:ro._ariaDescriptionId,className:oo},no):null},ro}return to.prototype.render=function(){var ro=this,no=this.props,oo=no.item,io=no.classNames,so=no.index,ao=no.focusableElementIndex,lo=no.totalItemCount,uo=no.hasCheckmarks,co=no.hasIcons,fo=no.expandedMenuItemKey,ho=no.onItemClick,po=no.openSubMenu,go=no.dismissSubMenu,vo=no.dismissMenu,bo=ContextualMenuItem;this.props.item.contextualMenuItemAs&&(bo=composeComponentAs(this.props.item.contextualMenuItemAs,bo)),this.props.contextualMenuItemAs&&(bo=composeComponentAs(this.props.contextualMenuItemAs,bo));var xo=oo.rel;oo.target&&oo.target.toLowerCase()==="_blank"&&(xo=xo||"nofollow noopener noreferrer");var _o=hasSubmenu(oo),Eo=getNativeProps(oo,anchorProperties),So=isItemDisabled(oo),To=oo.itemProps,wo=oo.ariaDescription,Co=oo.keytipProps;Co&&_o&&(Co=this._getMemoizedMenuButtonKeytipProps(Co)),wo&&(this._ariaDescriptionId=getId());var Oo=mergeAriaAttributeValues(oo.ariaDescribedBy,wo?this._ariaDescriptionId:void 0,Eo["aria-describedby"]),Ao={"aria-describedby":Oo};return reactExports.createElement("div",null,reactExports.createElement(KeytipData,{keytipProps:oo.keytipProps,ariaDescribedBy:Oo,disabled:So},function(Ro){return reactExports.createElement("a",__assign$4({},Ao,Eo,Ro,{ref:ro._anchor,href:oo.href,target:oo.target,rel:xo,className:io.root,role:"menuitem","aria-haspopup":_o||void 0,"aria-expanded":_o?oo.key===fo:void 0,"aria-posinset":ao+1,"aria-setsize":lo,"aria-disabled":isItemDisabled(oo),style:oo.style,onClick:ro._onItemClick,onMouseEnter:ro._onItemMouseEnter,onMouseLeave:ro._onItemMouseLeave,onMouseMove:ro._onItemMouseMove,onKeyDown:_o?ro._onItemKeyDown:void 0}),reactExports.createElement(bo,__assign$4({componentRef:oo.componentRef,item:oo,classNames:io,index:so,onCheckmarkClick:uo&&ho?ho:void 0,hasIcons:co,openSubMenu:po,dismissSubMenu:go,dismissMenu:vo,getSubmenuTarget:ro._getSubmenuTarget},To)),ro._renderAriaDescription(wo,io.screenReaderText))}))},to}(ContextualMenuItemWrapper),ContextualMenuButton=function(eo){__extends$3(to,eo);function to(){var ro=eo!==null&&eo.apply(this,arguments)||this;return ro._btn=reactExports.createRef(),ro._getMemoizedMenuButtonKeytipProps=memoizeFunction(function(no){return __assign$4(__assign$4({},no),{hasMenu:!0})}),ro._renderAriaDescription=function(no,oo){return no?reactExports.createElement("span",{id:ro._ariaDescriptionId,className:oo},no):null},ro._getSubmenuTarget=function(){return ro._btn.current?ro._btn.current:void 0},ro}return to.prototype.render=function(){var ro=this,no=this.props,oo=no.item,io=no.classNames,so=no.index,ao=no.focusableElementIndex,lo=no.totalItemCount,uo=no.hasCheckmarks,co=no.hasIcons,fo=no.contextualMenuItemAs,ho=no.expandedMenuItemKey,po=no.onItemMouseDown,go=no.onItemClick,vo=no.openSubMenu,bo=no.dismissSubMenu,xo=no.dismissMenu,_o=ContextualMenuItem;oo.contextualMenuItemAs&&(_o=composeComponentAs(oo.contextualMenuItemAs,_o)),fo&&(_o=composeComponentAs(fo,_o));var Eo=getIsChecked(oo),So=Eo!==null,To=getMenuItemAriaRole(oo),wo=hasSubmenu(oo),Co=oo.itemProps,Oo=oo.ariaLabel,Ao=oo.ariaDescription,Ro=getNativeProps(oo,buttonProperties);delete Ro.disabled;var No=oo.role||To;Ao&&(this._ariaDescriptionId=getId());var Mo=mergeAriaAttributeValues(oo.ariaDescribedBy,Ao?this._ariaDescriptionId:void 0,Ro["aria-describedby"]),Do={className:io.root,onClick:this._onItemClick,onKeyDown:wo?this._onItemKeyDown:void 0,onMouseEnter:this._onItemMouseEnter,onMouseLeave:this._onItemMouseLeave,onMouseDown:function(Fo){return po?po(oo,Fo):void 0},onMouseMove:this._onItemMouseMove,href:oo.href,title:oo.title,"aria-label":Oo,"aria-describedby":Mo,"aria-haspopup":wo||void 0,"aria-expanded":wo?oo.key===ho:void 0,"aria-posinset":ao+1,"aria-setsize":lo,"aria-disabled":isItemDisabled(oo),"aria-checked":(No==="menuitemcheckbox"||No==="menuitemradio")&&So?!!Eo:void 0,"aria-selected":No==="menuitem"&&So?!!Eo:void 0,role:No,style:oo.style},jo=oo.keytipProps;return jo&&wo&&(jo=this._getMemoizedMenuButtonKeytipProps(jo)),reactExports.createElement(KeytipData,{keytipProps:jo,ariaDescribedBy:Mo,disabled:isItemDisabled(oo)},function(Fo){return reactExports.createElement("button",__assign$4({ref:ro._btn},Ro,Do,Fo),reactExports.createElement(_o,__assign$4({componentRef:oo.componentRef,item:oo,classNames:io,index:so,onCheckmarkClick:uo&&go?go:void 0,hasIcons:co,openSubMenu:vo,dismissSubMenu:bo,dismissMenu:xo,getSubmenuTarget:ro._getSubmenuTarget},Co)),ro._renderAriaDescription(Ao,io.screenReaderText))})},to}(ContextualMenuItemWrapper),getStyles$4=function(eo){var to=eo.theme,ro=eo.getClassNames,no=eo.className;if(!to)throw new Error("Theme is undefined or null.");if(ro){var oo=ro(to);return{wrapper:[oo.wrapper],divider:[oo.divider]}}return{wrapper:[{display:"inline-flex",height:"100%",alignItems:"center"},no],divider:[{width:1,height:"100%",backgroundColor:to.palette.neutralTertiaryAlt}]}},getClassNames$4=classNamesFunction(),VerticalDividerBase=reactExports.forwardRef(function(eo,to){var ro=eo.styles,no=eo.theme,oo=eo.getClassNames,io=eo.className,so=getClassNames$4(ro,{theme:no,getClassNames:oo,className:io});return reactExports.createElement("span",{className:so.wrapper,ref:to},reactExports.createElement("span",{className:so.divider}))});VerticalDividerBase.displayName="VerticalDividerBase";var VerticalDivider=styled(VerticalDividerBase,getStyles$4,void 0,{scope:"VerticalDivider"}),TouchIdleDelay=500,ContextualMenuSplitButton=function(eo){__extends$3(to,eo);function to(ro){var no=eo.call(this,ro)||this;return no._getMemoizedMenuButtonKeytipProps=memoizeFunction(function(oo){return __assign$4(__assign$4({},oo),{hasMenu:!0})}),no._onItemKeyDown=function(oo){var io=no.props,so=io.item,ao=io.onItemKeyDown;oo.which===KeyCodes$1.enter?(no._executeItemClick(oo),oo.preventDefault(),oo.stopPropagation()):ao&&ao(so,oo)},no._getSubmenuTarget=function(){return no._splitButton},no._renderAriaDescription=function(oo,io){return oo?reactExports.createElement("span",{id:no._ariaDescriptionId,className:io},oo):null},no._onItemMouseEnterPrimary=function(oo){var io=no.props,so=io.item,ao=io.onItemMouseEnter;ao&&ao(__assign$4(__assign$4({},so),{subMenuProps:void 0,items:void 0}),oo,no._splitButton)},no._onItemMouseEnterIcon=function(oo){var io=no.props,so=io.item,ao=io.onItemMouseEnter;ao&&ao(so,oo,no._splitButton)},no._onItemMouseMovePrimary=function(oo){var io=no.props,so=io.item,ao=io.onItemMouseMove;ao&&ao(__assign$4(__assign$4({},so),{subMenuProps:void 0,items:void 0}),oo,no._splitButton)},no._onItemMouseMoveIcon=function(oo){var io=no.props,so=io.item,ao=io.onItemMouseMove;ao&&ao(so,oo,no._splitButton)},no._onIconItemClick=function(oo){var io=no.props,so=io.item,ao=io.onItemClickBase;ao&&ao(so,oo,no._splitButton?no._splitButton:oo.currentTarget)},no._executeItemClick=function(oo){var io=no.props,so=io.item,ao=io.executeItemClick,lo=io.onItemClick;if(!(so.disabled||so.isDisabled)){if(no._processingTouch&&!so.canCheck&&lo)return lo(so,oo);ao&&ao(so,oo)}},no._onTouchStart=function(oo){no._splitButton&&!("onpointerdown"in no._splitButton)&&no._handleTouchAndPointerEvent(oo)},no._onPointerDown=function(oo){oo.pointerType==="touch"&&(no._handleTouchAndPointerEvent(oo),oo.preventDefault(),oo.stopImmediatePropagation())},no._async=new Async(no),no._events=new EventGroup(no),no._dismissLabelId=getId(),no}return to.prototype.componentDidMount=function(){this._splitButton&&"onpointerdown"in this._splitButton&&this._events.on(this._splitButton,"pointerdown",this._onPointerDown,!0)},to.prototype.componentWillUnmount=function(){this._async.dispose(),this._events.dispose()},to.prototype.render=function(){var ro=this,no,oo=this.props,io=oo.item,so=oo.classNames,ao=oo.index,lo=oo.focusableElementIndex,uo=oo.totalItemCount,co=oo.hasCheckmarks,fo=oo.hasIcons,ho=oo.onItemMouseLeave,po=oo.expandedMenuItemKey,go=hasSubmenu(io),vo=io.keytipProps;vo&&(vo=this._getMemoizedMenuButtonKeytipProps(vo));var bo=io.ariaDescription;bo&&(this._ariaDescriptionId=getId());var xo=(no=getIsChecked(io))!==null&&no!==void 0?no:void 0;return reactExports.createElement(KeytipData,{keytipProps:vo,disabled:isItemDisabled(io)},function(_o){return reactExports.createElement("div",{"data-ktp-target":_o["data-ktp-target"],ref:function(Eo){return ro._splitButton=Eo},role:getMenuItemAriaRole(io),"aria-label":io.ariaLabel,className:so.splitContainer,"aria-disabled":isItemDisabled(io),"aria-expanded":go?io.key===po:void 0,"aria-haspopup":!0,"aria-describedby":mergeAriaAttributeValues(io.ariaDescribedBy,bo?ro._ariaDescriptionId:void 0,_o["aria-describedby"]),"aria-checked":xo,"aria-posinset":lo+1,"aria-setsize":uo,onMouseEnter:ro._onItemMouseEnterPrimary,onMouseLeave:ho?ho.bind(ro,__assign$4(__assign$4({},io),{subMenuProps:null,items:null})):void 0,onMouseMove:ro._onItemMouseMovePrimary,onKeyDown:ro._onItemKeyDown,onClick:ro._executeItemClick,onTouchStart:ro._onTouchStart,tabIndex:0,"data-is-focusable":!0,"aria-roledescription":io["aria-roledescription"]},ro._renderSplitPrimaryButton(io,so,ao,co,fo),ro._renderSplitDivider(io),ro._renderSplitIconButton(io,so,ao,_o),ro._renderAriaDescription(bo,so.screenReaderText))})},to.prototype._renderSplitPrimaryButton=function(ro,no,oo,io,so){var ao=this.props,lo=ao.contextualMenuItemAs,uo=lo===void 0?ContextualMenuItem:lo,co=ao.onItemClick,fo={key:ro.key,disabled:isItemDisabled(ro)||ro.primaryDisabled,name:ro.name,text:ro.text||ro.name,secondaryText:ro.secondaryText,className:no.splitPrimary,canCheck:ro.canCheck,isChecked:ro.isChecked,checked:ro.checked,iconProps:ro.iconProps,id:this._dismissLabelId,onRenderIcon:ro.onRenderIcon,data:ro.data,"data-is-focusable":!1},ho=ro.itemProps;return reactExports.createElement("button",__assign$4({},getNativeProps(fo,buttonProperties)),reactExports.createElement(uo,__assign$4({"data-is-focusable":!1,item:fo,classNames:no,index:oo,onCheckmarkClick:io&&co?co:void 0,hasIcons:so},ho)))},to.prototype._renderSplitDivider=function(ro){var no=ro.getSplitButtonVerticalDividerClassNames||getSplitButtonVerticalDividerClassNames;return reactExports.createElement(VerticalDivider,{getClassNames:no})},to.prototype._renderSplitIconButton=function(ro,no,oo,io){var so=this.props,ao=so.onItemMouseLeave,lo=so.onItemMouseDown,uo=so.openSubMenu,co=so.dismissSubMenu,fo=so.dismissMenu,ho=ContextualMenuItem;this.props.item.contextualMenuItemAs&&(ho=composeComponentAs(this.props.item.contextualMenuItemAs,ho)),this.props.contextualMenuItemAs&&(ho=composeComponentAs(this.props.contextualMenuItemAs,ho));var po={onClick:this._onIconItemClick,disabled:isItemDisabled(ro),className:no.splitMenu,subMenuProps:ro.subMenuProps,submenuIconProps:ro.submenuIconProps,split:!0,key:ro.key,"aria-labelledby":this._dismissLabelId},go=__assign$4(__assign$4({},getNativeProps(po,buttonProperties)),{onMouseEnter:this._onItemMouseEnterIcon,onMouseLeave:ao?ao.bind(this,ro):void 0,onMouseDown:function(bo){return lo?lo(ro,bo):void 0},onMouseMove:this._onItemMouseMoveIcon,"data-is-focusable":!1,"data-ktp-execute-target":io["data-ktp-execute-target"],"aria-haspopup":!0}),vo=ro.itemProps;return reactExports.createElement("button",__assign$4({},go),reactExports.createElement(ho,__assign$4({componentRef:ro.componentRef,item:po,classNames:no,index:oo,hasIcons:!1,openSubMenu:uo,dismissSubMenu:co,dismissMenu:fo,getSubmenuTarget:this._getSubmenuTarget},vo)))},to.prototype._handleTouchAndPointerEvent=function(ro){var no=this,oo=this.props.onTap;oo&&oo(ro),this._lastTouchTimeoutId&&(this._async.clearTimeout(this._lastTouchTimeoutId),this._lastTouchTimeoutId=void 0),this._processingTouch=!0,this._lastTouchTimeoutId=this._async.setTimeout(function(){no._processingTouch=!1,no._lastTouchTimeoutId=void 0},TouchIdleDelay)},to}(ContextualMenuItemWrapper),ResponsiveMode;(function(eo){eo[eo.small=0]="small",eo[eo.medium=1]="medium",eo[eo.large=2]="large",eo[eo.xLarge=3]="xLarge",eo[eo.xxLarge=4]="xxLarge",eo[eo.xxxLarge=5]="xxxLarge",eo[eo.unknown=999]="unknown"})(ResponsiveMode||(ResponsiveMode={}));var RESPONSIVE_MAX_CONSTRAINT=[479,639,1023,1365,1919,99999999],_defaultMode,_lastMode;function getInitialResponsiveMode(){var eo;return(eo=_defaultMode??_lastMode)!==null&&eo!==void 0?eo:ResponsiveMode.large}function getWidthOfCurrentWindow(eo){try{return eo.document.documentElement.clientWidth}catch{return eo.innerWidth}}function getResponsiveMode(eo){var to=ResponsiveMode.small;if(eo){try{for(;getWidthOfCurrentWindow(eo)>RESPONSIVE_MAX_CONSTRAINT[to];)to++}catch{to=getInitialResponsiveMode()}_lastMode=to}else throw new Error("Content was rendered in a server environment without providing a default responsive mode. Call setResponsiveMode to define what the responsive mode is.");return to}var useResponsiveMode=function(eo,to){var ro=reactExports.useState(getInitialResponsiveMode()),no=ro[0],oo=ro[1],io=reactExports.useCallback(function(){var ao=getResponsiveMode(getWindow(eo.current));no!==ao&&oo(ao)},[eo,no]),so=useWindow();return useOnEvent(so,"resize",io),reactExports.useEffect(function(){to===void 0&&io()},[to]),to??no},MenuContext=reactExports.createContext({}),getClassNames$3=classNamesFunction(),getContextualMenuItemClassNames=classNamesFunction(),DEFAULT_PROPS$1={items:[],shouldFocusOnMount:!0,gapSpace:0,directionalHint:DirectionalHint.bottomAutoEdge,beakWidth:16};function getItemCount(eo){for(var to=0,ro=0,no=eo;ro<no.length;ro++){var oo=no[ro];if(oo.itemType!==ContextualMenuItemType.Divider&&oo.itemType!==ContextualMenuItemType.Header){var io=oo.customOnRenderListLength?oo.customOnRenderListLength:1;to+=io}}return to}function getSubmenuItems(eo,to){var ro=to==null?void 0:to.target,no=eo.subMenuProps?eo.subMenuProps.items:eo.items;if(no){for(var oo=[],io=0,so=no;io<so.length;io++){var ao=so[io];if(ao.preferMenuTargetAsEventTarget){var lo=ao.onClick,uo=__rest$1(ao,["onClick"]);oo.push(__assign$4(__assign$4({},uo),{onClick:getOnClickWithOverrideTarget(lo,ro)}))}else oo.push(ao)}return oo}}function canAnyMenuItemsCheck(eo){return eo.some(function(to){return!!(to.canCheck||to.sectionProps&&to.sectionProps.items.some(function(ro){return ro.canCheck===!0}))})}var NavigationIdleDelay=250,COMPONENT_NAME="ContextualMenu",_getMenuItemStylesFunction=memoizeFunction(function(){for(var eo=[],to=0;to<arguments.length;to++)eo[to]=arguments[to];return function(ro){return concatStyleSetsWithProps.apply(void 0,__spreadArray$1([ro,getItemStyles],eo,!1))}});function useVisibility(eo,to){var ro=eo.hidden,no=ro===void 0?!1:ro,oo=eo.onMenuDismissed,io=eo.onMenuOpened,so=usePrevious(no),ao=reactExports.useRef(io),lo=reactExports.useRef(oo),uo=reactExports.useRef(eo);ao.current=io,lo.current=oo,uo.current=eo,reactExports.useEffect(function(){var co,fo;no&&so===!1?(co=lo.current)===null||co===void 0||co.call(lo,uo.current):!no&&so!==!1&&((fo=ao.current)===null||fo===void 0||fo.call(ao,uo.current))},[no,so]),reactExports.useEffect(function(){return function(){var co;return(co=lo.current)===null||co===void 0?void 0:co.call(lo,uo.current)}},[])}function useSubMenuState(eo,to){var ro=eo.hidden,no=eo.items,oo=eo.theme,io=eo.className,so=eo.id,ao=eo.target,lo=reactExports.useState(),uo=lo[0],co=lo[1],fo=reactExports.useState(),ho=fo[0],po=fo[1],go=reactExports.useState(),vo=go[0],bo=go[1],xo=useId(COMPONENT_NAME,so),_o=reactExports.useCallback(function(){bo(void 0),co(void 0),po(void 0)},[]),Eo=reactExports.useCallback(function(wo,Co,Oo){var Ao=wo.key;uo!==Ao&&(Co.focus(),bo(Oo),co(Ao),po(Co))},[uo]);reactExports.useEffect(function(){ro&&_o()},[ro,_o]);var So=useOnSubmenuDismiss(to,_o),To=function(){var wo=findItemByKeyFromItems(uo,no),Co=null;if(wo&&(Co={items:getSubmenuItems(wo,{target:ao}),target:ho,onDismiss:So,isSubMenu:!0,id:xo,shouldFocusOnMount:!0,shouldFocusOnContainer:vo,directionalHint:getRTL$1(oo)?DirectionalHint.leftTopEdge:DirectionalHint.rightTopEdge,className:io,gapSpace:0,isBeakVisible:!1},wo.subMenuProps&&assign$2(Co,wo.subMenuProps),wo.preferMenuTargetAsEventTarget)){var Oo=wo.onItemClick;Co.onItemClick=getOnClickWithOverrideTarget(Oo,ao)}return Co};return[uo,Eo,To,So]}function useShouldUpdateFocusOnMouseMove(eo){var to=eo.delayUpdateFocusOnHover,ro=eo.hidden,no=reactExports.useRef(!to),oo=reactExports.useRef(!1);reactExports.useEffect(function(){no.current=!to,oo.current=ro?!1:!to&&oo.current},[to,ro]);var io=reactExports.useCallback(function(){to&&(no.current=!1)},[to]);return[no,oo,io]}function usePreviousActiveElement(eo,to,ro){var no=eo.hidden,oo=eo.onRestoreFocus,io=reactExports.useRef(),so=reactExports.useCallback(function(ao){var lo,uo;oo?oo(ao):ao!=null&&ao.documentContainsFocus&&((uo=(lo=io.current)===null||lo===void 0?void 0:lo.focus)===null||uo===void 0||uo.call(lo))},[oo]);return useIsomorphicLayoutEffect(function(){var ao,lo;if(no)io.current&&(so({originalElement:io.current,containsFocus:!0,documentContainsFocus:((lo=getDocument())===null||lo===void 0?void 0:lo.hasFocus())||!1}),io.current=void 0);else{var uo=to==null?void 0:to.document.activeElement;!(!((ao=ro.current)===null||ao===void 0)&&ao.contains(uo))&&uo.tagName!=="BODY"&&(io.current=uo)}},[no,to==null?void 0:to.document.activeElement,so,ro]),[so]}function useKeyHandlers(eo,to,ro,no){var oo=eo.theme,io=eo.isSubMenu,so=eo.focusZoneProps,ao=so===void 0?{}:so,lo=ao.checkForNoWrap,uo=ao.direction,co=uo===void 0?FocusZoneDirection.vertical:uo,fo=reactExports.useRef(),ho=function(So,To,wo){var Co=!1;return To(So)&&(to(So,wo),So.preventDefault(),So.stopPropagation(),Co=!0),Co},po=function(So){var To=getRTL$1(oo)?KeyCodes$1.right:KeyCodes$1.left;return So.which!==To||!io?!1:!!(co===FocusZoneDirection.vertical||lo&&!shouldWrapFocus(So.target,"data-no-horizontal-wrap"))},go=function(So){return So.which===KeyCodes$1.escape||po(So)||So.which===KeyCodes$1.up&&(So.altKey||So.metaKey)},vo=function(So){fo.current=isAltOrMeta(So);var To=So.which===KeyCodes$1.escape&&(isMac()||isIOS());return ho(So,go,To)},bo=function(So){var To=fo.current&&isAltOrMeta(So);return fo.current=!1,!!To&&!(isIOS()||isMac())},xo=function(So){return ho(So,bo,!0)},_o=function(So){var To=vo(So);if(!(To||!ro.current)){var wo=!!(So.altKey||So.metaKey),Co=So.which===KeyCodes$1.up,Oo=So.which===KeyCodes$1.down;if(!wo&&(Co||Oo)){var Ao=Co?getLastFocusable(ro.current,ro.current.lastChild,!0):getFirstFocusable(ro.current,ro.current.firstChild,!0);Ao&&(Ao.focus(),So.preventDefault(),So.stopPropagation())}}},Eo=function(So,To){var wo=getRTL$1(oo)?KeyCodes$1.left:KeyCodes$1.right;!So.disabled&&(To.which===wo||To.which===KeyCodes$1.enter||To.which===KeyCodes$1.down&&(To.altKey||To.metaKey))&&(no(So,To.currentTarget),To.preventDefault())};return[vo,xo,_o,Eo]}function useScrollHandler(eo){var to=reactExports.useRef(!0),ro=reactExports.useRef(),no=function(){!to.current&&ro.current!==void 0?(eo.clearTimeout(ro.current),ro.current=void 0):to.current=!1,ro.current=eo.setTimeout(function(){to.current=!0},NavigationIdleDelay)};return[no,to]}function useOnSubmenuDismiss(eo,to){var ro=reactExports.useRef(!1);reactExports.useEffect(function(){return ro.current=!0,function(){ro.current=!1}},[]);var no=function(oo,io){io?eo(oo,io):ro.current&&to()};return no}function useSubmenuEnterTimer(eo,to){var ro=eo.subMenuHoverDelay,no=ro===void 0?NavigationIdleDelay:ro,oo=reactExports.useRef(void 0),io=function(){oo.current!==void 0&&(to.clearTimeout(oo.current),oo.current=void 0)},so=function(ao){oo.current=to.setTimeout(function(){ao(),io()},no)};return[io,so,oo]}function useMouseHandlers(eo,to,ro,no,oo,io,so,ao,lo,uo,co,fo,ho){var po=eo.target,go=function(Co,Oo,Ao){oo.current&&(io.current=!0),!bo()&&_o(Co,Oo,Ao)},vo=function(Co,Oo,Ao){var Ro=Oo.currentTarget;if(oo.current)io.current=!0;else return;!to.current||ro.current!==void 0||Ro===(no==null?void 0:no.document.activeElement)||_o(Co,Oo,Ao)},bo=function(){return!to.current||!io.current},xo=function(Co,Oo){var Ao;if(!bo()&&(uo(),so===void 0))if(ao.current.setActive)try{ao.current.setActive()}catch{}else(Ao=ao.current)===null||Ao===void 0||Ao.focus()},_o=function(Co,Oo,Ao){var Ro=Ao||Oo.currentTarget;Co.key!==so&&(uo(),so===void 0&&Ro.focus(),hasSubmenu(Co)?(Oo.stopPropagation(),lo(function(){Ro.focus(),co(Co,Ro,!0)})):lo(function(){fo(Oo),Ro.focus()}))},Eo=function(Co,Oo){So(Co,Oo,Oo.currentTarget)},So=function(Co,Oo,Ao){var Ro=getSubmenuItems(Co,{target:po});if(uo(),!hasSubmenu(Co)&&(!Ro||!Ro.length))wo(Co,Oo);else if(Co.key!==so){var No=typeof eo.shouldFocusOnContainer=="boolean"?eo.shouldFocusOnContainer:Oo.nativeEvent.pointerType==="mouse";co(Co,Ao,No)}Oo.stopPropagation(),Oo.preventDefault()},To=function(Co,Oo){wo(Co,Oo),Oo.stopPropagation()},wo=function(Co,Oo){if(!(Co.disabled||Co.isDisabled)){Co.preferMenuTargetAsEventTarget&&overrideTarget(Oo,po);var Ao=!1;Co.onClick?Ao=!!Co.onClick(Oo,Co):eo.onItemClick&&(Ao=!!eo.onItemClick(Oo,Co)),(Ao||!Oo.defaultPrevented)&&ho(Oo,!0)}};return[go,vo,xo,Eo,To,wo,So]}var ContextualMenuBase=reactExports.memo(reactExports.forwardRef(function(eo,to){var ro,no=getPropsWithDefaults(DEFAULT_PROPS$1,eo);no.ref;var oo=__rest$1(no,["ref"]),io=reactExports.useRef(null),so=useAsync(),ao=useId(COMPONENT_NAME,oo.id),lo=function(qs,Ko){var Qo;return(Qo=oo.onDismiss)===null||Qo===void 0?void 0:Qo.call(oo,qs,Ko)},uo=useTarget(oo.target,io),co=uo[0],fo=uo[1],ho=usePreviousActiveElement(oo,fo,io)[0],po=useSubMenuState(oo,lo),go=po[0],vo=po[1],bo=po[2],xo=po[3],_o=useShouldUpdateFocusOnMouseMove(oo),Eo=_o[0],So=_o[1],To=_o[2],wo=useScrollHandler(so),Co=wo[0],Oo=wo[1],Ao=useSubmenuEnterTimer(oo,so),Ro=Ao[0],No=Ao[1],Mo=Ao[2],Do=useResponsiveMode(io,oo.responsiveMode);useVisibility(oo);var jo=useKeyHandlers(oo,lo,io,vo),Fo=jo[0],$o=jo[1],Lo=jo[2],Ho=jo[3],qo=useMouseHandlers(oo,Oo,Mo,fo,Eo,So,go,io,No,Ro,vo,xo,lo),Uo=qo[0],Yo=qo[1],Zo=qo[2],_s=qo[3],Ss=qo[4],As=qo[5],Ns=qo[6],ws=function(qs,Ko,Qo){var zo=0,Vo=qs.items,Bo=qs.totalItemCount,Xo=qs.hasCheckmarks,vs=qs.hasIcons;return reactExports.createElement("ul",{className:Ko.list,onKeyDown:Fo,onKeyUp:$o,role:"presentation"},Vo.map(function(ys,ps){var Rs=Jo(ys,ps,zo,Bo,Xo,vs,Ko);if(ys.itemType!==ContextualMenuItemType.Divider&&ys.itemType!==ContextualMenuItemType.Header){var Us=ys.customOnRenderListLength?ys.customOnRenderListLength:1;zo+=Us}return Rs}))},Ds=function(qs,Ko){var Qo=oo.focusZoneAs,zo=Qo===void 0?FocusZone:Qo;return reactExports.createElement(zo,__assign$4({},Ko),qs)},Jo=function(qs,Ko,Qo,zo,Vo,Bo,Xo){var vs,ys=[],ps=qs.iconProps||{iconName:"None"},Rs=qs.getItemClassNames,Us=qs.itemProps,Rl=Us?Us.styles:void 0,Ml=qs.itemType===ContextualMenuItemType.Divider?qs.className:void 0,Ol=qs.submenuIconProps?qs.submenuIconProps.className:"",Cl;if(Rs)Cl=Rs(oo.theme,isItemDisabled(qs),go===qs.key,!!getIsChecked(qs),!!qs.href,ps.iconName!=="None",qs.className,Ml,ps.className,Ol,qs.primaryDisabled);else{var Ul={theme:oo.theme,disabled:isItemDisabled(qs),expanded:go===qs.key,checked:!!getIsChecked(qs),isAnchorLink:!!qs.href,knownIcon:ps.iconName!=="None",itemClassName:qs.className,dividerClassName:Ml,iconClassName:ps.className,subMenuClassName:Ol,primaryDisabled:qs.primaryDisabled};Cl=getContextualMenuItemClassNames(_getMenuItemStylesFunction((vs=Xo.subComponentStyles)===null||vs===void 0?void 0:vs.menuItem,Rl),Ul)}switch((qs.text==="-"||qs.name==="-")&&(qs.itemType=ContextualMenuItemType.Divider),qs.itemType){case ContextualMenuItemType.Divider:ys.push(Ls(Ko,Cl));break;case ContextualMenuItemType.Header:ys.push(Ls(Ko,Cl));var fu=Js(qs,Cl,Xo,Ko,Vo,Bo);ys.push(zs(fu,qs.key||Ko,Cl,qs.title));break;case ContextualMenuItemType.Section:ys.push(Bs(qs,Cl,Xo,Ko,Vo,Bo));break;default:var Bl=function(){return ga(qs,Cl,Ko,Qo,zo,Vo,Bo)},Eu=oo.onRenderContextualMenuItem?oo.onRenderContextualMenuItem(qs,Bl):Bl();ys.push(zs(Eu,qs.key||Ko,Cl,qs.title));break}return reactExports.createElement(reactExports.Fragment,{key:qs.key},ys)},Cs=function(qs,Ko){var Qo=qs.index,zo=qs.focusableElementIndex,Vo=qs.totalItemCount,Bo=qs.hasCheckmarks,Xo=qs.hasIcons;return Jo(qs,Qo,zo,Vo,Bo,Xo,Ko)},Bs=function(qs,Ko,Qo,zo,Vo,Bo){var Xo=qs.sectionProps;if(Xo){var vs,ys;if(Xo.title){var ps=void 0,Rs="";if(typeof Xo.title=="string"){var Us=ao+Xo.title.replace(/\s/g,"");ps={key:"section-".concat(Xo.title,"-title"),itemType:ContextualMenuItemType.Header,text:Xo.title,id:Us},Rs=Us}else{var Rl=Xo.title.id||ao+Xo.title.key.replace(/\s/g,"");ps=__assign$4(__assign$4({},Xo.title),{id:Rl}),Rs=Rl}ps&&(ys={role:"group","aria-labelledby":Rs},vs=Js(ps,Ko,Qo,zo,Vo,Bo))}if(Xo.items&&Xo.items.length>0){var Ml=0;return reactExports.createElement("li",{role:"presentation",key:Xo.key||qs.key||"section-".concat(zo)},reactExports.createElement("div",__assign$4({},ys),reactExports.createElement("ul",{className:Qo.list,role:"presentation"},Xo.topDivider&&Ls(zo,Ko,!0,!0),vs&&zs(vs,qs.key||zo,Ko,qs.title),Xo.items.map(function(Ol,Cl){var Ul=Jo(Ol,Cl,Ml,getItemCount(Xo.items),Vo,Bo,Qo);if(Ol.itemType!==ContextualMenuItemType.Divider&&Ol.itemType!==ContextualMenuItemType.Header){var fu=Ol.customOnRenderListLength?Ol.customOnRenderListLength:1;Ml+=fu}return Ul}),Xo.bottomDivider&&Ls(zo,Ko,!1,!0))))}}},zs=function(qs,Ko,Qo,zo){return reactExports.createElement("li",{role:"presentation",title:zo,key:Ko,className:Qo.item},qs)},Ls=function(qs,Ko,Qo,zo){return zo||qs>0?reactExports.createElement("li",{role:"separator",key:"separator-"+qs+(Qo===void 0?"":Qo?"-top":"-bottom"),className:Ko.divider,"aria-hidden":"true"}):null},ga=function(qs,Ko,Qo,zo,Vo,Bo,Xo){if(qs.onRender)return qs.onRender(__assign$4({"aria-posinset":zo+1,"aria-setsize":Vo},qs),lo);var vs=oo.contextualMenuItemAs,ys={item:qs,classNames:Ko,index:Qo,focusableElementIndex:zo,totalItemCount:Vo,hasCheckmarks:Bo,hasIcons:Xo,contextualMenuItemAs:vs,onItemMouseEnter:Uo,onItemMouseLeave:Zo,onItemMouseMove:Yo,onItemMouseDown,executeItemClick:As,onItemKeyDown:Ho,expandedMenuItemKey:go,openSubMenu:vo,dismissSubMenu:xo,dismissMenu:lo};if(qs.href){var ps=ContextualMenuAnchor;return qs.contextualMenuItemWrapperAs&&(ps=composeComponentAs(qs.contextualMenuItemWrapperAs,ps)),reactExports.createElement(ps,__assign$4({},ys,{onItemClick:Ss}))}if(qs.split&&hasSubmenu(qs)){var Rs=ContextualMenuSplitButton;return qs.contextualMenuItemWrapperAs&&(Rs=composeComponentAs(qs.contextualMenuItemWrapperAs,Rs)),reactExports.createElement(Rs,__assign$4({},ys,{onItemClick:_s,onItemClickBase:Ns,onTap:Ro}))}var Us=ContextualMenuButton;return qs.contextualMenuItemWrapperAs&&(Us=composeComponentAs(qs.contextualMenuItemWrapperAs,Us)),reactExports.createElement(Us,__assign$4({},ys,{onItemClick:_s,onItemClickBase:Ns}))},Js=function(qs,Ko,Qo,zo,Vo,Bo){var Xo=ContextualMenuItem;qs.contextualMenuItemAs&&(Xo=composeComponentAs(qs.contextualMenuItemAs,Xo)),oo.contextualMenuItemAs&&(Xo=composeComponentAs(oo.contextualMenuItemAs,Xo));var vs=qs.itemProps,ys=qs.id,ps=vs&&getNativeProps(vs,divProperties);return reactExports.createElement("div",__assign$4({id:ys,className:Qo.header},ps,{style:qs.style}),reactExports.createElement(Xo,__assign$4({item:qs,classNames:Ko,index:zo,onCheckmarkClick:Vo?_s:void 0,hasIcons:Bo},vs)))},Xs=oo.isBeakVisible,$a=oo.items,Ll=oo.labelElementId,Kl=oo.id,Xl=oo.className,Nl=oo.beakWidth,xa=oo.directionalHint,El=oo.directionalHintForRTL,cu=oo.alignTargetEdge,ks=oo.gapSpace,Es=oo.coverTarget,bs=oo.ariaLabel,Os=oo.doNotLayer,Vs=oo.target,Ks=oo.bounds,Ms=oo.useTargetWidth,Hs=oo.useTargetAsMinWidth,Zs=oo.directionalHintFixed,xl=oo.shouldFocusOnMount,Sl=oo.shouldFocusOnContainer,$l=oo.title,ru=oo.styles,au=oo.theme,zl=oo.calloutProps,pu=oo.onRenderSubMenu,Su=pu===void 0?onDefaultRenderSubMenu:pu,Zl=oo.onRenderMenuList,Dl=Zl===void 0?function(qs,Ko){return ws(qs,mu)}:Zl,gu=oo.focusZoneProps,lu=oo.getMenuClassNames,mu=lu?lu(au,Xl):getClassNames$3(ru,{theme:au,className:Xl}),ou=Fl($a);function Fl(qs){for(var Ko=0,Qo=qs;Ko<Qo.length;Ko++){var zo=Qo[Ko];if(zo.iconProps||zo.itemType===ContextualMenuItemType.Section&&zo.sectionProps&&Fl(zo.sectionProps.items))return!0}return!1}var yl=__assign$4(__assign$4({direction:FocusZoneDirection.vertical,handleTabKey:FocusZoneTabbableElements.all,isCircularNavigation:!0},gu),{className:css$3(mu.root,(ro=oo.focusZoneProps)===null||ro===void 0?void 0:ro.className)}),Ys=canAnyMenuItemsCheck($a),vu=go&&oo.hidden!==!0?bo():null;Xs=Xs===void 0?Do<=ResponsiveMode.medium:Xs;var Nu,du=co.current;if((Ms||Hs)&&du&&du.offsetWidth){var cp=du.getBoundingClientRect(),qu=cp.width-2;Ms?Nu={width:qu}:Hs&&(Nu={minWidth:qu})}if($a&&$a.length>0){var Ru=getItemCount($a),_h=mu.subComponentStyles?mu.subComponentStyles.callout:void 0;return reactExports.createElement(MenuContext.Consumer,null,function(qs){return reactExports.createElement(Callout,__assign$4({styles:_h,onRestoreFocus:ho},zl,{target:Vs||qs.target,isBeakVisible:Xs,beakWidth:Nl,directionalHint:xa,directionalHintForRTL:El,gapSpace:ks,coverTarget:Es,doNotLayer:Os,className:css$3("ms-ContextualMenu-Callout",zl&&zl.className),setInitialFocus:xl,onDismiss:oo.onDismiss||qs.onDismiss,onScroll:Co,bounds:Ks,directionalHintFixed:Zs,alignTargetEdge:cu,hidden:oo.hidden||qs.hidden,ref:to}),reactExports.createElement("div",{style:Nu,ref:io,id:Kl,className:mu.container,tabIndex:Sl?0:-1,onKeyDown:Lo,onKeyUp:$o,onFocusCapture:To,"aria-label":bs,"aria-labelledby":Ll,role:"menu"},$l&&reactExports.createElement("div",{className:mu.title}," ",$l," "),$a&&$a.length?Ds(Dl({ariaLabel:bs,items:$a,totalItemCount:Ru,hasCheckmarks:Ys,hasIcons:ou,defaultMenuItemRenderer:function(Ko){return Cs(Ko,mu)},labelElementId:Ll},function(Ko,Qo){return ws(Ko,mu)}),yl):null,vu&&Su(vu,onDefaultRenderSubMenu)),reactExports.createElement(FocusRects,null))})}else return null}),function(eo,to){return!to.shouldUpdateWhenHidden&&eo.hidden&&to.hidden?!0:shallowCompare(eo,to)});ContextualMenuBase.displayName="ContextualMenuBase";function isAltOrMeta(eo){return eo.which===KeyCodes$1.alt||eo.key==="Meta"}function onItemMouseDown(eo,to){var ro;(ro=eo.onMouseDown)===null||ro===void 0||ro.call(eo,eo,to)}function onDefaultRenderSubMenu(eo,to){throw Error("ContextualMenuBase: onRenderSubMenu callback is null or undefined. 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to=eo.className,ro=eo.theme,no=getGlobalClassNames(GlobalClassNames$3,ro),oo=ro.fonts,io=ro.semanticColors,so=ro.effects;return{root:[ro.fonts.medium,no.root,no.isopen,{backgroundColor:io.menuBackground,minWidth:"180px"},to],container:[no.container,{selectors:{":focus":{outline:0}}}],list:[no.list,no.isopen,{listStyleType:"none",margin:"0",padding:"0"}],header:[no.header,oo.small,{fontWeight:FontWeights.semibold,color:io.menuHeader,background:"none",backgroundColor:"transparent",border:"none",height:CONTEXTUAL_MENU_ITEM_HEIGHT,lineHeight:CONTEXTUAL_MENU_ITEM_HEIGHT,cursor:"default",padding:"0px 6px",userSelect:"none",textAlign:"left"}],title:[no.title,{fontSize:oo.mediumPlus.fontSize,paddingRight:"14px",paddingLeft:"14px",paddingBottom:"5px",paddingTop:"5px",backgroundColor:io.menuItemBackgroundPressed}],subComponentStyles:{callout:{root:{boxShadow:so.elevation8}},menuItem:{}}}};function onRenderSubMenu(eo){return reactExports.createElement(LocalContextualMenu,__assign$4({},eo))}var LocalContextualMenu=styled(ContextualMenuBase,getStyles$3,function(eo){return{onRenderSubMenu:eo.onRenderSubMenu?composeRenderFunction(eo.onRenderSubMenu,onRenderSubMenu):onRenderSubMenu}},{scope:"ContextualMenu"}),ContextualMenu=LocalContextualMenu;ContextualMenu.displayName="ContextualMenu";var animationDuration=AnimationVariables.durationValue2,globalClassNames={root:"ms-Modal",main:"ms-Dialog-main",scrollableContent:"ms-Modal-scrollableContent",isOpen:"is-open",layer:"ms-Modal-Layer"},getStyles$2=function(eo){var to,ro=eo.className,no=eo.containerClassName,oo=eo.scrollableContentClassName,io=eo.isOpen,so=eo.isVisible,ao=eo.hasBeenOpened,lo=eo.modalRectangleTop,uo=eo.theme,co=eo.topOffsetFixed,fo=eo.isModeless,ho=eo.layerClassName,po=eo.isDefaultDragHandle,go=eo.windowInnerHeight,vo=uo.palette,bo=uo.effects,xo=uo.fonts,_o=getGlobalClassNames(globalClassNames,uo);return{root:[_o.root,xo.medium,{backgroundColor:"transparent",position:"fixed",height:"100%",width:"100%",display:"flex",alignItems:"center",justifyContent:"center",opacity:0,pointerEvents:"none",transition:"opacity ".concat(animationDuration)},co&&typeof lo=="number"&&ao&&{alignItems:"flex-start"},io&&_o.isOpen,so&&{opacity:1},so&&!fo&&{pointerEvents:"auto"},ro],main:[_o.main,{boxShadow:bo.elevation64,borderRadius:bo.roundedCorner2,backgroundColor:vo.white,boxSizing:"border-box",position:"relative",textAlign:"left",outline:"3px solid transparent",maxHeight:"calc(100% - 32px)",maxWidth:"calc(100% - 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to.prototype.componentDidMount=function(){!this._allowTouchBodyScroll&&disableBodyScroll()},to.prototype.componentWillUnmount=function(){!this._allowTouchBodyScroll&&enableBodyScroll()},to.prototype.render=function(){var ro=this.props,no=ro.isDarkThemed,oo=ro.className,io=ro.theme,so=ro.styles,ao=getNativeProps(this.props,divProperties),lo=getClassNames$2(so,{theme:io,className:oo,isDark:no});return reactExports.createElement("div",__assign$4({},ao,{className:lo.root}))},to}(reactExports.Component),GlobalClassNames$2={root:"ms-Overlay",rootDark:"ms-Overlay--dark"},getStyles$1=function(eo){var to,ro=eo.className,no=eo.theme,oo=eo.isNone,io=eo.isDark,so=no.palette,ao=getGlobalClassNames(GlobalClassNames$2,no);return{root:[ao.root,no.fonts.medium,{backgroundColor:so.whiteTranslucent40,top:0,right:0,bottom:0,left:0,position:"absolute",selectors:(to={},to[HighContrastSelector]={border:"1px solid 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io=reactExports.Children.only(no.props.children).props.onTouchStart;return io&&io(oo),no._currentEventType=eventMapping.touch,no._onDragStart(oo)},no._onTouchEnd=function(oo){var io=reactExports.Children.only(no.props.children).props.onTouchEnd;io&&io(oo),no._currentEventType=eventMapping.touch,no._onDragStop(oo)},no._onDragStart=function(oo){if(typeof oo.button=="number"&&oo.button!==0)return!1;if(!(no.props.handleSelector&&!no._matchesSelector(oo.target,no.props.handleSelector)||no.props.preventDragSelector&&no._matchesSelector(oo.target,no.props.preventDragSelector))){no._touchId=no._getTouchId(oo);var io=no._getControlPosition(oo);if(io!==void 0){var so=no._createDragDataFromPosition(io);no.props.onStart&&no.props.onStart(oo,so),no.setState({isDragging:!0,lastPosition:io}),no._events=[on$1(document.body,no._currentEventType.move,no._onDrag,!0),on$1(document.body,no._currentEventType.stop,no._onDragStop,!0)]}}},no._onDrag=function(oo){oo.type==="touchmove"&&oo.preventDefault();var 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no.identifier},to.prototype._matchesSelector=function(ro,no){if(!ro||ro===document.body)return!1;var oo=ro.matches||ro.webkitMatchesSelector||ro.msMatchesSelector;return oo?oo.call(ro,no)||this._matchesSelector(ro.parentElement,no):!1},to.prototype._findTouchInTouchList=function(ro){if(this._touchId!==void 0){for(var no=0;no<ro.length;no++)if(ro[no].identifier===this._touchId)return ro[no]}},to.prototype._createDragDataFromPosition=function(ro){var no=this.state.lastPosition;return no===void 0?{delta:{x:0,y:0},lastPosition:ro,position:ro}:{delta:{x:ro.x-no.x,y:ro.y-no.y},lastPosition:no,position:ro}},to.prototype._createUpdatedDragData=function(ro){var no=this.state.position;return{position:{x:no.x+ro.delta.x,y:no.y+ro.delta.y},delta:ro.delta,lastPosition:no}},to}(reactExports.Component),ZERO={x:0,y:0},DEFAULT_PROPS={isOpen:!1,isDarkOverlay:!0,className:"",containerClassName:"",enableAriaHiddenSiblings:!0},getClassNames=classNamesFunction(),getMoveDelta=function(eo){var to=10;return eo.shiftKey?eo.ctrlKey||(to=50):eo.ctrlKey&&(to=1),to},useComponentRef=function(eo,to){reactExports.useImperativeHandle(eo.componentRef,function(){return{focus:function(){to.current&&to.current.focus()}}},[to])},ModalBase=reactExports.forwardRef(function(eo,to){var ro,no,oo,io,so,ao=getPropsWithDefaults(DEFAULT_PROPS,eo),lo=ao.allowTouchBodyScroll,uo=ao.className,co=ao.children,fo=ao.containerClassName,ho=ao.scrollableContentClassName,po=ao.elementToFocusOnDismiss,go=ao.firstFocusableSelector,vo=ao.focusTrapZoneProps,bo=ao.forceFocusInsideTrap,xo=ao.disableRestoreFocus,_o=xo===void 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Fl=function(yl){yl.altKey&&yl.ctrlKey&&yl.keyCode===KeyCodes$1.space&&elementContains(Ms.scrollableContent,yl.target)&&(Vs(),yl.preventDefault(),yl.stopPropagation())};Ms.disposeOnKeyUp||(Ms.events.on(Cs,"keyup",Fl,!0),Ms.disposeOnKeyUp=function(){Ms.events.off(Cs,"keyup",Fl,!0),Ms.disposeOnKeyUp=void 0})};reactExports.useEffect(function(){Ls(Ms.onModalCloseTimer),Ro&&(requestAnimationFrame(function(){return zs(au,0)}),Xs(!0),qo&&mu(),Ms.hasBeenOpened=!0,Kl(!0)),!Ro&&Js&&(Ms.onModalCloseTimer=zs(pu,parseFloat(animationDuration)*1e3),Kl(!1))},[Js,Ro]),useUnmount(function(){Ms.events.dispose()}),useComponentRef(ao,Ss);var ou=reactExports.createElement(FocusTrapZone,__assign$4({},vo,{id:Jo,ref:Ns,componentRef:As,className:css$3(Sl.main,vo==null?void 0:vo.className),elementToFocusOnDismiss:(ro=vo==null?void 0:vo.elementToFocusOnDismiss)!==null&&ro!==void 0?ro:po,isClickableOutsideFocusTrap:(no=vo==null?void 0:vo.isClickableOutsideFocusTrap)!==null&&no!==void 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Js&&Ds>=($o||ResponsiveMode.small)&&reactExports.createElement(Layer,__assign$4({ref:ws},$l),reactExports.createElement(Popup,__assign$4({role:Zs?"alertdialog":"dialog",ariaLabelledBy:No,ariaDescribedBy:Do,onDismiss:Co,shouldRestoreFocus:!_o,enableAriaHiddenSiblings:Yo,"aria-modal":!Ho},Zo),reactExports.createElement("div",{className:Sl.root,role:Ho?void 0:"document"},!Ho&&reactExports.createElement(Overlay,__assign$4({"aria-hidden":!0,isDarkThemed:wo,onClick:Eo?void 0:Co,allowTouchBodyScroll:lo},Ao)),qo?reactExports.createElement(DraggableZone,{handleSelector:qo.dragHandleSelector||"#".concat(Jo),preventDragSelector:"button",onStart:Su,onDragChange:Zl,onStop:Dl,position:Nl},ou):ou)))||null});ModalBase.displayName="Modal";var Modal=styled(ModalBase,getStyles$2,void 0,{scope:"Modal",fields:["theme","styles","enableAriaHiddenSiblings"]});Modal.displayName="Modal";var assign$1=__assign$4;function withSlots(eo,to){for(var ro=[],no=2;no<arguments.length;no++)ro[no-2]=arguments[no];var 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+ * react-is.production.min.js
+ *
+ * Copyright (c) Facebook, Inc. and its affiliates.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ */var b$4=typeof Symbol=="function"&&Symbol.for,c$8=b$4?Symbol.for("react.element"):60103,d$7=b$4?Symbol.for("react.portal"):60106,e$5=b$4?Symbol.for("react.fragment"):60107,f$7=b$4?Symbol.for("react.strict_mode"):60108,g$8=b$4?Symbol.for("react.profiler"):60114,h$8=b$4?Symbol.for("react.provider"):60109,k$6=b$4?Symbol.for("react.context"):60110,l$7=b$4?Symbol.for("react.async_mode"):60111,m$8=b$4?Symbol.for("react.concurrent_mode"):60111,n$6=b$4?Symbol.for("react.forward_ref"):60112,p$8=b$4?Symbol.for("react.suspense"):60113,q$3=b$4?Symbol.for("react.suspense_list"):60120,r$5=b$4?Symbol.for("react.memo"):60115,t$8=b$4?Symbol.for("react.lazy"):60116,v$6=b$4?Symbol.for("react.block"):60121,w$5=b$4?Symbol.for("react.fundamental"):60117,x$7=b$4?Symbol.for("react.responder"):60118,y$6=b$4?Symbol.for("react.scope"):60119;function z$3(eo){if(typeof eo=="object"&&eo!==null){var to=eo.$$typeof;switch(to){case c$8:switch(eo=eo.type,eo){case l$7:case m$8:case e$5:case g$8:case f$7:case 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+`}},to.insertRules=function(no,oo){for(var io=0;io<no.index.length;io++)this.insertRule(no.index[io],io,oo)},to.insertRule=function(no,oo,io){if(io===void 0&&(io=this.element.sheet),no.rules){var so=no,ao=io;return(no.type==="conditional"||no.type==="keyframes")&&(ao=_insertRule(io,so.toString({children:!1}),oo),ao===!1)?!1:(this.insertRules(so.rules,ao),ao)}if(no.renderable&&no.renderable.parentStyleSheet===this.element.sheet)return no.renderable;var lo=no.toString();if(!lo)return!1;var uo=_insertRule(io,lo,oo);return uo===!1?!1:(this.hasInsertedRules=!0,no.renderable=uo,uo)},to.deleteRule=function(no){var oo=this.element.sheet,io=this.indexOf(no);return io===-1?!1:(oo.deleteRule(io),!0)},to.indexOf=function(no){for(var oo=this.element.sheet.cssRules,io=0;io<oo.length;io++)if(no===oo[io])return io;return-1},to.replaceRule=function(no,oo){var io=this.indexOf(no);return io===-1?!1:(this.element.sheet.deleteRule(io),this.insertRule(oo,io))},to.getRules=function(){return this.element.sheet.cssRules},eo}(),instanceCounter=0,Jss=function(){function eo(ro){this.id=instanceCounter++,this.version="10.2.0",this.plugins=new PluginsRegistry,this.options={id:{minify:!1},createGenerateId,Renderer:isBrowser$2?DomRenderer:null,plugins:[]},this.generateId=createGenerateId({minify:!1});for(var no=0;no<plugins$1.length;no++)this.plugins.use(plugins$1[no],{queue:"internal"});this.setup(ro)}var to=eo.prototype;return to.setup=function(no){return no===void 0&&(no={}),no.createGenerateId&&(this.options.createGenerateId=no.createGenerateId),no.id&&(this.options.id=_extends$c({},this.options.id,no.id)),(no.createGenerateId||no.id)&&(this.generateId=this.options.createGenerateId(this.options.id)),no.insertionPoint!=null&&(this.options.insertionPoint=no.insertionPoint),"Renderer"in no&&(this.options.Renderer=no.Renderer),no.plugins&&this.use.apply(this,no.plugins),this},to.createStyleSheet=function(no,oo){oo===void 0&&(oo={});var io=oo,so=io.index;typeof so!="number"&&(so=sheets.index===0?0:sheets.index+1);var ao=new StyleSheet$1(no,_extends$c({},oo,{jss:this,generateId:oo.generateId||this.generateId,insertionPoint:this.options.insertionPoint,Renderer:this.options.Renderer,index:so}));return this.plugins.onProcessSheet(ao),ao},to.removeStyleSheet=function(no){return no.detach(),sheets.remove(no),this},to.createRule=function(no,oo,io){if(oo===void 0&&(oo={}),io===void 0&&(io={}),typeof no=="object")return this.createRule(void 0,no,oo);var so=_extends$c({},io,{name:no,jss:this,Renderer:this.options.Renderer});so.generateId||(so.generateId=this.generateId),so.classes||(so.classes={}),so.keyframes||(so.keyframes={});var ao=createRule(no,oo,so);return ao&&this.plugins.onProcessRule(ao),ao},to.use=function(){for(var no=this,oo=arguments.length,io=new Array(oo),so=0;so<oo;so++)io[so]=arguments[so];return io.forEach(function(ao){no.plugins.use(ao)}),this},eo}();function getDynamicStyles(eo){var to=null;for(var ro in eo){var no=eo[ro],oo=typeof no;if(oo==="function")to||(to={}),to[ro]=no;else if(oo==="object"&&no!==null&&!Array.isArray(no)){var io=getDynamicStyles(no);io&&(to||(to={}),to[ro]=io)}}return to}var SheetsManager=function(){function eo(){this.length=0,this.sheets=new WeakMap}var to=eo.prototype;return to.get=function(no){var oo=this.sheets.get(no);return oo&&oo.sheet},to.add=function(no,oo){this.sheets.has(no)||(this.length++,this.sheets.set(no,{sheet:oo,refs:0}))},to.manage=function(no){var oo=this.sheets.get(no);if(oo)return oo.refs===0&&oo.sheet.attach(),oo.refs++,oo.sheet;warning(!1,"[JSS] SheetsManager: can't find sheet to manage")},to.unmanage=function(no){var oo=this.sheets.get(no);oo?oo.refs>0&&(oo.refs--,oo.refs===0&&oo.sheet.detach()):warning(!1,"SheetsManager: can't find sheet to unmanage")},_createClass$3(eo,[{key:"size",get:function(){return this.length}}]),eo}();/**
+ * A better abstraction over CSS.
+ *
+ * @copyright Oleg Isonen (Slobodskoi) / Isonen 2014-present
+ * @website https://github.com/cssinjs/jss
+ * @license MIT
+ */var hasCSSTOMSupport=typeof CSS<"u"&&CSS&&"number"in CSS,create$3=function(to){return new Jss(to)},index$4=create$3(),now=Date.now(),fnValuesNs="fnValues"+now,fnRuleNs="fnStyle"+ ++now;function functionPlugin(){return{onCreateRule:function(to,ro,no){if(typeof ro!="function")return null;var oo=createRule(to,{},no);return oo[fnRuleNs]=ro,oo},onProcessStyle:function(to,ro){if(fnValuesNs in ro||fnRuleNs in ro)return to;var no={};for(var oo in to){var io=to[oo];typeof io=="function"&&(delete to[oo],no[oo]=io)}return ro[fnValuesNs]=no,to},onUpdate:function(to,ro,no,oo){var io=ro,so=io[fnRuleNs];so&&(io.style=so(to)||{});var ao=io[fnValuesNs];if(ao)for(var lo in ao)io.prop(lo,ao[lo](to),oo)}}}function symbolObservablePonyfill(eo){var to,ro=eo.Symbol;return typeof ro=="function"?ro.observable?to=ro.observable:(to=ro("observable"),ro.observable=to):to="@@observable",to}var root$1;typeof self<"u"?root$1=self:typeof window<"u"?root$1=window:typeof global<"u"?root$1=global:typeof module<"u"?root$1=module:root$1=Function("return this")();var result=symbolObservablePonyfill(root$1),isObservable$1=function(to){return to&&to[result]&&to===to[result]()};function observablePlugin(eo){return{onCreateRule:function(ro,no,oo){if(!isObservable$1(no))return null;var io=no,so=createRule(ro,{},oo);return io.subscribe(function(ao){for(var lo in ao)so.prop(lo,ao[lo],eo)}),so},onProcessRule:function(ro){if(!(ro&&ro.type!=="style")){var no=ro,oo=no.style,io=function(uo){var co=oo[uo];if(!isObservable$1(co))return"continue";delete oo[uo],co.subscribe({next:function(ho){no.prop(uo,ho,eo)}})};for(var so in oo)var ao=io(so)}}}}var semiWithNl=/;\n/,parse$m=function(eo){for(var to={},ro=eo.split(semiWithNl),no=0;no<ro.length;no++){var oo=(ro[no]||"").trim();if(oo){var io=oo.indexOf(":");if(io!==-1){var so=oo.substr(0,io).trim(),ao=oo.substr(io+1).trim();to[so]=ao}}}return to},onProcessRule=function(to){typeof to.style=="string"&&(to.style=parse$m(to.style))};function templatePlugin(){return{onProcessRule}}var at$2="@global",atPrefix="@global ",GlobalContainerRule=function(){function eo(ro,no,oo){this.type="global",this.at=at$2,this.rules=void 0,this.options=void 0,this.key=void 0,this.isProcessed=!1,this.key=ro,this.options=oo,this.rules=new RuleList(_extends$c({},oo,{parent:this}));for(var io in no)this.rules.add(io,no[io]);this.rules.process()}var to=eo.prototype;return to.getRule=function(no){return this.rules.get(no)},to.addRule=function(no,oo,io){var so=this.rules.add(no,oo,io);return this.options.jss.plugins.onProcessRule(so),so},to.indexOf=function(no){return this.rules.indexOf(no)},to.toString=function(){return this.rules.toString()},eo}(),GlobalPrefixedRule=function(){function eo(ro,no,oo){this.type="global",this.at=at$2,this.options=void 0,this.rule=void 0,this.isProcessed=!1,this.key=void 0,this.key=ro,this.options=oo;var io=ro.substr(atPrefix.length);this.rule=oo.jss.createRule(io,no,_extends$c({},oo,{parent:this}))}var to=eo.prototype;return to.toString=function(no){return this.rule?this.rule.toString(no):""},eo}(),separatorRegExp$1=/\s*,\s*/g;function addScope(eo,to){for(var ro=eo.split(separatorRegExp$1),no="",oo=0;oo<ro.length;oo++)no+=to+" "+ro[oo].trim(),ro[oo+1]&&(no+=", ");return no}function handleNestedGlobalContainerRule(eo){var to=eo.options,ro=eo.style,no=ro?ro[at$2]:null;if(no){for(var oo in no)to.sheet.addRule(oo,no[oo],_extends$c({},to,{selector:addScope(oo,eo.selector)}));delete ro[at$2]}}function handlePrefixedGlobalRule(eo){var to=eo.options,ro=eo.style;for(var no in ro)if(!(no[0]!=="@"||no.substr(0,at$2.length)!==at$2)){var oo=addScope(no.substr(at$2.length),eo.selector);to.sheet.addRule(oo,ro[no],_extends$c({},to,{selector:oo})),delete ro[no]}}function jssGlobal(){function eo(ro,no,oo){if(!ro)return null;if(ro===at$2)return new GlobalContainerRule(ro,no,oo);if(ro[0]==="@"&&ro.substr(0,atPrefix.length)===atPrefix)return new GlobalPrefixedRule(ro,no,oo);var io=oo.parent;return io&&(io.type==="global"||io.options.parent&&io.options.parent.type==="global")&&(oo.scoped=!1),oo.scoped===!1&&(oo.selector=ro),null}function to(ro){ro.type==="style"&&(handleNestedGlobalContainerRule(ro),handlePrefixedGlobalRule(ro))}return{onCreateRule:eo,onProcessRule:to}}var isObject$5=function(to){return to&&typeof to=="object"&&!Array.isArray(to)},valueNs="extendCurrValue"+Date.now();function mergeExtend(eo,to,ro,no){var oo=typeof eo.extend;if(oo==="string"){if(!ro)return;var io=ro.getRule(eo.extend);if(!io||io===to)return;var so=io.options.parent;if(so){var ao=so.rules.raw[eo.extend];extend$1(ao,to,ro,no)}return}if(Array.isArray(eo.extend)){for(var lo=0;lo<eo.extend.length;lo++)extend$1(eo.extend[lo],to,ro,no);return}for(var uo in eo.extend){if(uo==="extend"){extend$1(eo.extend.extend,to,ro,no);continue}if(isObject$5(eo.extend[uo])){uo in no||(no[uo]={}),extend$1(eo.extend[uo],to,ro,no[uo]);continue}no[uo]=eo.extend[uo]}}function mergeRest(eo,to,ro,no){for(var oo in eo)if(oo!=="extend"){if(isObject$5(no[oo])&&isObject$5(eo[oo])){extend$1(eo[oo],to,ro,no[oo]);continue}if(isObject$5(eo[oo])){no[oo]=extend$1(eo[oo],to,ro);continue}no[oo]=eo[oo]}}function extend$1(eo,to,ro,no){return no===void 0&&(no={}),mergeExtend(eo,to,ro,no),mergeRest(eo,to,ro,no),no}function jssExtend(){function eo(ro,no,oo){return"extend"in ro?extend$1(ro,no,oo):ro}function to(ro,no,oo){if(no!=="extend")return ro;if(ro==null||ro===!1){for(var io in oo[valueNs])oo.prop(io,null);return oo[valueNs]=null,null}if(typeof ro=="object"){for(var so in ro)oo.prop(so,ro[so]);oo[valueNs]=ro}return null}return{onProcessStyle:eo,onChangeValue:to}}var separatorRegExp=/\s*,\s*/g,parentRegExp=/&/g,refRegExp=/\$([\w-]+)/g;function jssNested(){function eo(oo,io){return function(so,ao){var lo=oo.getRule(ao)||io&&io.getRule(ao);return lo?(lo=lo,lo.selector):ao}}function to(oo,io){for(var so=io.split(separatorRegExp),ao=oo.split(separatorRegExp),lo="",uo=0;uo<so.length;uo++)for(var 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propArray={"background-size":!0,"background-position":!0,border:!0,"border-bottom":!0,"border-left":!0,"border-top":!0,"border-right":!0,"border-radius":!0,"border-image":!0,"border-width":!0,"border-style":!0,"border-color":!0,"box-shadow":!0,flex:!0,margin:!0,padding:!0,outline:!0,"transform-origin":!0,transform:!0,transition:!0},propArrayInObj={position:!0,size:!0},propObj={padding:{top:0,right:0,bottom:0,left:0},margin:{top:0,right:0,bottom:0,left:0},background:{attachment:null,color:null,image:null,position:null,repeat:null},border:{width:null,style:null,color:null},"border-top":{width:null,style:null,color:null},"border-right":{width:null,style:null,color:null},"border-bottom":{width:null,style:null,color:null},"border-left":{width:null,style:null,color:null},outline:{width:null,style:null,color:null},"list-style":{type:null,position:null,image:null},transition:{property:null,duration:null,"timing-function":null,timingFunction:null,delay:null},animation:{name:null,duration:null,"timing-function":null,timingFunction:null,delay:null,"iteration-count":null,iterationCount:null,direction:null,"fill-mode":null,fillMode:null,"play-state":null,playState:null},"box-shadow":{x:0,y:0,blur:0,spread:0,color:null,inset:null},"text-shadow":{x:0,y:0,blur:null,color:null}},customPropObj={border:{radius:"border-radius",image:"border-image",width:"border-width",style:"border-style",color:"border-color"},"border-bottom":{width:"border-bottom-width",style:"border-bottom-style",color:"border-bottom-color"},"border-top":{width:"border-top-width",style:"border-top-style",color:"border-top-color"},"border-left":{width:"border-left-width",style:"border-left-style",color:"border-left-color"},"border-right":{width:"border-right-width",style:"border-right-style",color:"border-right-color"},background:{size:"background-size",image:"background-image"},font:{style:"font-style",variant:"font-variant",weight:"font-weight",stretch:"font-stretch",size:"font-size",family:"font-family",lineHeight:"line-height","line-height":"line-height"},flex:{grow:"flex-grow",basis:"flex-basis",direction:"flex-direction",wrap:"flex-wrap",flow:"flex-flow",shrink:"flex-shrink"},align:{self:"align-self",items:"align-items",content:"align-content"},grid:{"template-columns":"grid-template-columns",templateColumns:"grid-template-columns","template-rows":"grid-template-rows",templateRows:"grid-template-rows","template-areas":"grid-template-areas",templateAreas:"grid-template-areas",template:"grid-template","auto-columns":"grid-auto-columns",autoColumns:"grid-auto-columns","auto-rows":"grid-auto-rows",autoRows:"grid-auto-rows","auto-flow":"grid-auto-flow",autoFlow:"grid-auto-flow",row:"grid-row",column:"grid-column","row-start":"grid-row-start",rowStart:"grid-row-start","row-end":"grid-row-end",rowEnd:"grid-row-end","column-start":"grid-column-start",columnStart:"grid-column-start","column-end":"grid-column-end",columnEnd:"grid-column-end",area:"grid-area",gap:"grid-gap","row-gap":"grid-row-gap",rowGap:"grid-row-gap","column-gap":"grid-column-gap",columnGap:"grid-column-gap"}};function 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to!=="appearance"?!1:prefix$2.js==="ms"?"-webkit-"+to:prefix$2.css+to}},colorAdjust={noPrefill:["color-adjust"],supportedProperty:function(to){return to!=="color-adjust"?!1:prefix$2.js==="Webkit"?prefix$2.css+"print-"+to:to}},regExp=/[-\s]+(.)?/g;function toUpper(eo,to){return to?to.toUpperCase():""}function camelize(eo){return eo.replace(regExp,toUpper)}function pascalize(eo){return camelize("-"+eo)}var mask={noPrefill:["mask"],supportedProperty:function(to,ro){if(!/^mask/.test(to))return!1;if(prefix$2.js==="Webkit"){var no="mask-image";if(camelize(no)in ro)return to;if(prefix$2.js+pascalize(no)in ro)return prefix$2.css+to}return to}},textOrientation={noPrefill:["text-orientation"],supportedProperty:function(to){return to!=="text-orientation"?!1:prefix$2.vendor==="apple"&&!prefix$2.isTouch?prefix$2.css+to:to}},transform={noPrefill:["transform"],supportedProperty:function(to,ro,no){return to!=="transform"?!1:no.transform?to:prefix$2.css+to}},transition={noPrefill:["transition"],supportedProperty:function(to,ro,no){return to!=="transition"?!1:no.transition?to:prefix$2.css+to}},writingMode={noPrefill:["writing-mode"],supportedProperty:function(to){return to!=="writing-mode"?!1:prefix$2.js==="Webkit"||prefix$2.js==="ms"&&prefix$2.browser!=="edge"?prefix$2.css+to:to}},userSelect={noPrefill:["user-select"],supportedProperty:function(to){return to!=="user-select"?!1:prefix$2.js==="Moz"||prefix$2.js==="ms"||prefix$2.vendor==="apple"?prefix$2.css+to:to}},breakPropsOld={supportedProperty:function(to,ro){if(!/^break-/.test(to))return!1;if(prefix$2.js==="Webkit"){var no="WebkitColumn"+pascalize(to);return no in ro?prefix$2.css+"column-"+to:!1}if(prefix$2.js==="Moz"){var oo="page"+pascalize(to);return oo in ro?"page-"+to:!1}return!1}},inlineLogicalOld={supportedProperty:function(to,ro){if(!/^(border|margin|padding)-inline/.test(to))return!1;if(prefix$2.js==="Moz")return to;var no=to.replace("-inline","");return prefix$2.js+pascalize(no)in ro?prefix$2.css+no:!1}},unprefixed={supportedProperty:function(to,ro){return camelize(to)in ro?to:!1}},prefixed={supportedProperty:function(to,ro){var no=pascalize(to);return to[0]==="-"||to[0]==="-"&&to[1]==="-"?to:prefix$2.js+no in ro?prefix$2.css+to:prefix$2.js!=="Webkit"&&"Webkit"+no in ro?"-webkit-"+to:!1}},scrollSnap={supportedProperty:function(to){return to.substring(0,11)!=="scroll-snap"?!1:prefix$2.js==="ms"?""+prefix$2.css+to:to}},overscrollBehavior={supportedProperty:function(to){return to!=="overscroll-behavior"?!1:prefix$2.js==="ms"?prefix$2.css+"scroll-chaining":to}},propMap={"flex-grow":"flex-positive","flex-shrink":"flex-negative","flex-basis":"flex-preferred-size","justify-content":"flex-pack",order:"flex-order","align-items":"flex-align","align-content":"flex-line-pack"},flex2012={supportedProperty:function(to,ro){var no=propMap[to];return no&&prefix$2.js+pascalize(no)in ro?prefix$2.css+no:!1}},propMap$1={flex:"box-flex","flex-grow":"box-flex","flex-direction":["box-orient","box-direction"],order:"box-ordinal-group","align-items":"box-align","flex-flow":["box-orient","box-direction"],"justify-content":"box-pack"},propKeys=Object.keys(propMap$1),prefixCss=function(to){return prefix$2.css+to},flex2009={supportedProperty:function(to,ro,no){var oo=no.multiple;if(propKeys.indexOf(to)>-1){var io=propMap$1[to];if(!Array.isArray(io))return prefix$2.js+pascalize(io)in ro?prefix$2.css+io:!1;if(!oo)return!1;for(var so=0;so<io.length;so++)if(!(prefix$2.js+pascalize(io[0])in ro))return!1;return io.map(prefixCss)}return!1}},plugins=[appearence,colorAdjust,mask,textOrientation,transform,transition,writingMode,userSelect,breakPropsOld,inlineLogicalOld,unprefixed,prefixed,scrollSnap,overscrollBehavior,flex2012,flex2009],propertyDetectors=plugins.filter(function(eo){return eo.supportedProperty}).map(function(eo){return eo.supportedProperty}),noPrefill=plugins.filter(function(eo){return eo.noPrefill}).reduce(function(eo,to){return eo.push.apply(eo,_toConsumableArray(to.noPrefill)),eo},[]),el$1,cache$2={};if(isBrowser$2){el$1=document.createElement("p");var computed=window.getComputedStyle(document.documentElement,"");for(var key$1 in computed)isNaN(key$1)||(cache$2[computed[key$1]]=computed[key$1]);noPrefill.forEach(function(eo){return delete cache$2[eo]})}function supportedProperty17(eo,to){if(to===void 0&&(to={}),!el$1)return eo;if(cache$2[eo]!=null)return cache$2[eo];(eo==="transition"||eo==="transform")&&(to[eo]=eo in el$1.style);for(var ro=0;ro<propertyDetectors.length&&(cache$2[eo]=propertyDetectors[ro](eo,el$1.style,to),!cache$2[eo]);ro++);try{el$1.style[eo]=""}catch{return!1}return cache$2[eo]}var cache$1$1={},transitionProperties={transition:1,"transition-property":1,"-webkit-transition":1,"-webkit-transition-property":1},transPropsRegExp=/(^\s*[\w-]+)|, (\s*[\w-]+)(?![^()]*\))/g,el$1$1;function prefixTransitionCallback(eo,to,ro){if(to==="var")return"var";if(to==="all")return"all";if(ro==="all")return", all";var no=to?supportedProperty17(to):", "+supportedProperty17(ro);return no||to||ro}isBrowser$2&&(el$1$1=document.createElement("p"));function supportedValue(eo,to){var ro=to;if(!el$1$1||eo==="content")return to;if(typeof ro!="string"||!isNaN(parseInt(ro,10)))return ro;var no=eo+ro;if(cache$1$1[no]!=null)return cache$1$1[no];try{el$1$1.style[eo]=ro}catch{return cache$1$1[no]=!1,!1}if(transitionProperties[eo])ro=ro.replace(transPropsRegExp,prefixTransitionCallback);else if(el$1$1.style[eo]===""&&(ro=prefix$2.css+ro,ro==="-ms-flex"&&(el$1$1.style[eo]="-ms-flexbox"),el$1$1.style[eo]=ro,el$1$1.style[eo]===""))return cache$1$1[no]=!1,!1;return el$1$1.style[eo]="",cache$1$1[no]=ro,cache$1$1[no]}function jssVendorPrefixer(){function eo(oo){if(oo.type==="keyframes"){var io=oo;io.at=supportedKeyframes(io.at)}}function to(oo){for(var io in oo){var so=oo[io];if(io==="fallbacks"&&Array.isArray(so)){oo[io]=so.map(to);continue}var ao=!1,lo=supportedProperty17(io);lo&&lo!==io&&(ao=!0);var uo=!1,co=supportedValue(lo,toCssValue(so));co&&co!==so&&(uo=!0),(ao||uo)&&(ao&&delete oo[io],oo[lo||io]=co||so)}return oo}function ro(oo,io){return io.type!=="style"?oo:to(oo)}function no(oo,io){return supportedValue(io,toCssValue(oo))||oo}return{onProcessRule:eo,onProcessStyle:ro,onChangeValue:no}}function jssPropsSort(){var eo=function(ro,no){return ro.length===no.length?ro>no?1:-1:ro.length-no.length};return{onProcessStyle:function(ro,no){if(no.type!=="style")return ro;for(var oo={},io=Object.keys(ro).sort(eo),so=0;so<io.length;so++)oo[io[so]]=ro[io[so]];return oo}}}var index$3=function(eo){return eo===void 0&&(eo={}),{plugins:[functionPlugin(),observablePlugin(eo.observable),templatePlugin(),jssGlobal(),jssExtend(),jssNested(),jssCompose(),camelCase(),defaultUnit(eo.defaultUnit),jssExpand(),jssVendorPrefixer(),jssPropsSort()]}},MAX_RULES_PER_SHEET=1e4,defaultJss$1=create$3(index$3()),createCss=function(to){to===void 0&&(to=defaultJss$1);var ro=new Map,no=0,oo,io=function(){return(!oo||oo.rules.index.length>MAX_RULES_PER_SHEET)&&(oo=to.createStyleSheet().attach()),oo};function so(){var ao=arguments,lo=JSON.stringify(ao),uo=ro.get(lo);if(uo)return uo.className;var co=[];for(var fo in ao){var ho=ao[fo];if(!Array.isArray(ho)){co.push(ho);continue}for(var po=0;po<ho.length;po++)co.push(ho[po])}for(var go={},vo=[],bo=0;bo<co.length;bo++){var xo=co[bo];if(xo){if(typeof xo=="string"){var _o=ro.get(xo);_o&&(_o.labels.length&&vo.push.apply(vo,_o.labels),xo=_o.style)}xo.label&&vo.indexOf(xo.label)===-1&&vo.push(xo.label),Object.assign(go,xo)}}delete go.label;var Eo=vo.length===0?"css":vo.join("-"),So=Eo+"-"+no++;io().addRule(So,go);var To=io().classes[So],wo={style:go,labels:vo,className:To};return ro.set(lo,wo),ro.set(To,wo),To}return so.getSheet=io,so};createCss();var JssContext=React.createContext({classNamePrefix:"",disableStylesGeneration:!1}),index$2=Number.MIN_SAFE_INTEGER||-1e9,getSheetIndex=function(){return index$2++},defaultManagers=new Map,getManager=function(to,ro){if(to.managers)return to.managers[ro]||(to.managers[ro]=new SheetsManager),to.managers[ro];var no=defaultManagers.get(ro);return no||(no=new SheetsManager,defaultManagers.set(ro,no)),no},manageSheet=function(to){var ro=to.sheet,no=to.context,oo=to.index,io=to.theme;if(ro){var so=getManager(no,oo);so.manage(io),no.registry&&no.registry.add(ro)}},unmanageSheet=function(to){if(to.sheet){var ro=getManager(to.context,to.index);ro.unmanage(to.theme)}},defaultJss=create$3(index$3()),sheetsMeta=new WeakMap,getMeta=function(to){return sheetsMeta.get(to)},addMeta=function(to,ro){sheetsMeta.set(to,ro)},getStyles=function(to){var ro=to.styles;return typeof ro!="function"?ro:ro(to.theme)};function getSheetOptions(eo,to){var ro;eo.context.id&&eo.context.id.minify!=null&&(ro=eo.context.id.minify);var no=eo.context.classNamePrefix||"";eo.name&&!ro&&(no+=eo.name.replace(/\s/g,"-")+"-");var oo="";return eo.name&&(oo=eo.name+", "),oo+=typeof eo.styles=="function"?"Themed":"Unthemed",_extends$c({},eo.sheetOptions,{index:eo.index,meta:oo,classNamePrefix:no,link:to,generateId:eo.sheetOptions.generateId||eo.context.generateId})}var createStyleSheet=function(to){if(!to.context.disableStylesGeneration){var ro=getManager(to.context,to.index),no=ro.get(to.theme);if(no)return no;var oo=to.context.jss||defaultJss,io=getStyles(to),so=getDynamicStyles(io),ao=oo.createStyleSheet(io,getSheetOptions(to,so!==null));return addMeta(ao,{dynamicStyles:so,styles:io}),ro.add(to.theme,ao),ao}},removeDynamicRules=function(to,ro){for(var no in ro)to.deleteRule(ro[no])},updateDynamicRules=function(to,ro,no){for(var oo in no)ro.updateOne(no[oo],to)},addDynamicRules=function(to,ro){var no=getMeta(to);if(no){var oo={};for(var io in no.dynamicStyles)for(var so=to.rules.index.length,ao=to.addRule(io,no.dynamicStyles[io]),lo=so;lo<to.rules.index.length;lo++){var uo=to.rules.index[lo];to.updateOne(uo,ro),oo[ao===uo?io:uo.key]=uo}return oo}},getSheetClasses=function(to,ro){if(!ro)return to.classes;var no={},oo=getMeta(to);if(!oo)return to.classes;for(var io in oo.styles)no[io]=to.classes[io],io in ro&&(no[io]+=" "+to.classes[ro[io].key]);return no},useEffectOrLayoutEffect=isBrowser$2?React.useLayoutEffect:React.useEffect,noTheme$1={},createUseStyles=function(to,ro){ro===void 0&&(ro={});var no=ro,oo=no.index,io=oo===void 0?getSheetIndex():oo,so=no.theming,ao=no.name,lo=_objectWithoutPropertiesLoose$3(no,["index","theming","name"]),uo=so&&so.context||ThemeContext$1,co=typeof to=="function"?function(){return React.useContext(uo)||noTheme$1}:function(){return noTheme$1};return function(ho){var po=React.useRef(!0),go=React.useContext(JssContext),vo=co(),bo=React.useMemo(function(){var So=createStyleSheet({context:go,styles:to,name:ao,theme:vo,index:io,sheetOptions:lo}),To=So?addDynamicRules(So,ho):null;return So&&manageSheet({index:io,context:go,sheet:So,theme:vo}),[So,To]},[go,vo]),xo=bo[0],_o=bo[1];useEffectOrLayoutEffect(function(){xo&&_o&&!po.current&&updateDynamicRules(ho,xo,_o)},[ho]),useEffectOrLayoutEffect(function(){return function(){xo&&unmanageSheet({index:io,context:go,sheet:xo,theme:vo}),xo&&_o&&removeDynamicRules(xo,_o)}},[xo]);var Eo=xo&&_o?getSheetClasses(xo,_o):{};return React.useDebugValue(Eo),React.useDebugValue(vo===noTheme$1?"No 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GraphEdgeStatus;(function(eo){eo[eo.Default=EMPTY_STATUS]="Default",eo[eo.Selected=SELECTED_STATUS]="Selected",eo[eo.Activated=ACTIVATED_STATUS]="Activated",eo[eo.ConnectedToSelected=4]="ConnectedToSelected",eo[eo.UnconnectedToSelected=8]="UnconnectedToSelected",eo[eo.Editing=16]="Editing"})(GraphEdgeStatus||(GraphEdgeStatus={}));var GraphNodeStatus;(function(eo){eo[eo.Default=EMPTY_STATUS]="Default",eo[eo.Selected=SELECTED_STATUS]="Selected",eo[eo.Activated=ACTIVATED_STATUS]="Activated",eo[eo.Editing=4]="Editing",eo[eo.ConnectedToSelected=8]="ConnectedToSelected",eo[eo.UnconnectedToSelected=16]="UnconnectedToSelected"})(GraphNodeStatus||(GraphNodeStatus={}));var GraphPortStatus;(function(eo){eo[eo.Default=EMPTY_STATUS]="Default",eo[eo.Selected=SELECTED_STATUS]="Selected",eo[eo.Activated=ACTIVATED_STATUS]="Activated",eo[eo.Connecting=4]="Connecting",eo[eo.ConnectingAsTarget=8]="ConnectingAsTarget"})(GraphPortStatus||(GraphPortStatus={}));const updateStatus=eo=>to=>{var ro;const no=eo((ro=to.status)!==null&&ro!==void 0?ro:0);return no===to.status?to:Object.assign(Object.assign({},to),{status:no})};function isNodeEditing(eo){return has$1(GraphNodeStatus.Editing)(eo.status)}function isSelected(eo){return has$1(SELECTED_STATUS)(eo.status)}function notSelected(eo){return!isSelected(eo)}const resetConnectStatus=eo=>to=>(to||0)&GraphNodeStatus.Activated|eo;class Debug{static log(to){}static warn(to){}static error(...to){console.error(...to)}static never(to,ro){throw new Error(ro??`${to} is unexpected`)}}const getNodeConfig=(eo,to)=>{const ro=to.getNodeConfig(eo);if(!ro){Debug.warn(`invalid node ${JSON.stringify(eo)}`);return}return ro};function getRectWidth(eo,to){var ro;const no=(ro=eo==null?void 0:eo.getMinWidth(to))!==null&&ro!==void 0?ro:0;return to.width&&to.width>=no?to.width:no}function getRectHeight(eo,to){var ro;const no=(ro=eo==null?void 0:eo.getMinHeight(to))!==null&&ro!==void 0?ro:0;return to.height&&to.height>=no?to.height:no}function getNodeSize(eo,to){const ro=getNodeConfig(eo,to),no=getRectWidth(ro,eo);return{height:getRectHeight(ro,eo),width:no}}function getGroupRect(eo,to,ro){var no,oo,io,so,ao,lo,uo,co;const fo=new Set(eo.nodeIds),ho=Array.from(to.values()).filter(To=>fo.has(To.id)),po=Math.min(...ho.map(To=>To.x)),go=Math.max(...ho.map(To=>To.x+getNodeSize(To,ro).width)),vo=Math.min(...ho.map(To=>To.y)),bo=Math.max(...ho.map(To=>To.y+getNodeSize(To,ro).height)),xo=po-((oo=(no=eo.padding)===null||no===void 0?void 0:no.left)!==null&&oo!==void 0?oo:0),_o=vo-((so=(io=eo.padding)===null||io===void 0?void 0:io.top)!==null&&so!==void 0?so:0),Eo=bo-_o+((lo=(ao=eo.padding)===null||ao===void 0?void 0:ao.bottom)!==null&&lo!==void 0?lo:0),So=go-xo+((co=(uo=eo.padding)===null||uo===void 0?void 0:uo.left)!==null&&co!==void 0?co:0);return{x:xo,y:_o,width:So,height:Eo}}var MouseEventButton;(function(eo){eo[eo.Primary=0]="Primary",eo[eo.Auxiliary=1]="Auxiliary",eo[eo.Secondary=2]="Secondary",eo[eo.Fourth=4]="Fourth",eo[eo.Fifth=5]="Fifth"})(MouseEventButton||(MouseEventButton={}));var MouseEventButtons;(function(eo){eo[eo.None=0]="None",eo[eo.Left=1]="Left",eo[eo.Right=2]="Right",eo[eo.Middle=4]="Middle"})(MouseEventButtons||(MouseEventButtons={}));const DEFAULT_AUTO_ALIGN_THRESHOLD=50,COPIED_NODE_SPACING=50,NODE_MIN_VISIBLE_LENGTH=5,NODE_MAX_VISIBLE_LENGTH=500,defaultColors={controlPointColor:"#333333",primaryColor:"#0078D4",defaultColor:"#CCCCCC",borderColor:"#B3B0AD",defaultBorderColor:"#FFFFFF",unConnectableBgColor:"#E1DFDD",defaultBackgroundColor:"#FFFFFF",portStroke:"#ccc",portFill:"#fff",connectedPortColor:"gray",nodeActivateFill:"#ffffff",nodeActivateStroke:"#0078D4",nodeFill:"#ffffff",nodeStroke:"#cccccc",contextMenuBackground:"#FFFFFF",contextMenuBorder:"#E1DFDD",contextMenuHoverBackground:"rgba(0, 120, 212, 0.05)",fontColor:"#000000",canvasBackground:"#EDEDED",minimapBackground:"#EDEDED",edgeColor:"#ccc",edgeColorSelected:"#015cda",minimapShadow:"#000000",outlineStyle:"none",focusOutlineColor:"#000000",dummyNodeStroke:"#015cda",inputFocusBorderAlt:"#0078d4",buttonBorder:"#797775",scrollbarColor:"#c8c8c8"},RectComponent=eo=>{const{style:to,node:ro,width:no,height:oo,textY:io}=eo,so=ro.data&&ro.data.comment?ro.data.comment:"",ao=isNodeEditing(ro);return jsxRuntimeExports.jsxs("g",{children:[jsxRuntimeExports.jsx("rect",{width:no,height:oo,x:ro.x,y:ro.y,style:to,rx:to.borderRadius}),jsxRuntimeExports.jsx("text",Object.assign({x:ro.x,y:io,fontSize:12},{children:ro.name})),ro.data&&ro.data.comment&&!ao&&jsxRuntimeExports.jsx("text",Object.assign({x:ro.x,y:io+20,fontSize:12,className:`comment-${ro.id}`},{children:ro.data.comment})),ao&&jsxRuntimeExports.jsx("foreignObject",Object.assign({x:ro.x,y:io,height:oo/2.5,width:no-5},{children:jsxRuntimeExports.jsx("input",{value:so,placeholder:"Input your comment here"})}))]},ro.id)},rect={getMinHeight(){return 150},getMinWidth(){return 150},render(eo){const to=eo.model,ro=getRectWidth(rect,to),no=getRectHeight(rect,to),oo=has$1(GraphNodeStatus.Selected|GraphNodeStatus.Activated)(to.status)?{fill:defaultColors.nodeActivateFill,stroke:defaultColors.nodeActivateStroke}:{fill:defaultColors.nodeFill,fillOpacity:.1,stroke:defaultColors.nodeStroke,borderRadius:"5"},io=to.y+no/3;return jsxRuntimeExports.jsx(RectComponent,{style:oo,node:to,width:ro,height:no,textY:io})}},getCurvePathD=(eo,to,ro,no)=>`M${eo},${ro}C${eo},${ro-getControlPointDistance(ro,no)},${to},${no+5+getControlPointDistance(ro,no)},${to},${no+5}`,getControlPointDistance=(eo,to)=>Math.min(5*15,Math.max(5*3,Math.abs((eo-(to+5))/2))),line$1={render(eo){const to=eo.model,ro={cursor:"crosshair",stroke:has$1(GraphEdgeStatus.Selected)(to.status)?defaultColors.edgeColorSelected:defaultColors.edgeColor,strokeWidth:"2"};return jsxRuntimeExports.jsx("path",{d:getCurvePathD(eo.x2,eo.x1,eo.y2,eo.y1),fill:"none",style:ro,id:`edge${to.id}`},to.id)}};class DefaultPort{getStyle(to,ro,no,oo,io){const so=defaultColors.portStroke;let ao=defaultColors.portFill;return(oo||io)&&(ao=defaultColors.connectedPortColor),has$1(GraphPortStatus.Activated)(to.status)&&(ao=defaultColors.primaryColor),{stroke:so,fill:ao}}getIsConnectable(){return!0}render(to){const{model:ro,data:no,parentNode:oo}=to,io=no.isPortConnectedAsSource(oo.id,ro.id),so=no.isPortConnectedAsTarget(oo.id,ro.id),ao=this.getStyle(ro,oo,no,io,so),{x:lo,y:uo}=to,co=`${lo-5} ${uo}, ${lo+7} ${uo}, ${lo+1} ${uo+8}`;return so?jsxRuntimeExports.jsx("polygon",{points:co,style:ao}):jsxRuntimeExports.jsx("circle",{r:5,cx:lo,cy:uo,style:ao},`${to.parentNode.id}-${to.model.id}`)}}const defaultPort=new DefaultPort;class DefaultClipboard{constructor(to){this.storage=to}write(to){this.storage.setItem("graph-clipboard",JSON.stringify({nodes:to.nodes.map(ro=>Object.assign(Object.assign({},ro),{data:{}})),edges:to.edges.map(ro=>Object.assign(Object.assign({},ro),{data:{}}))}))}read(){const to=this.storage.getItem("graph-clipboard");if(!to)return null;try{const ro=JSON.parse(to),no=new Map;return{nodes:ro.nodes.map(oo=>{const io=v4();return no.set(oo.id,io),Object.assign(Object.assign({},oo),{x:oo.x+COPIED_NODE_SPACING,y:oo.y+COPIED_NODE_SPACING,id:io})}),edges:ro.edges.map(oo=>Object.assign(Object.assign({},oo),{id:v4(),source:no.get(oo.source)||"",target:no.get(oo.target)||""}))}}catch{return null}}}class DefaultStorage{get length(){return this.items.size}constructor(){this.key=()=>"DefaultLocalStorage",this.items=new Map}clear(){this.items=new Map}setItem(to,ro){this.items.set(to,ro)}getItem(to){return this.items.has(to)?this.items.get(to):null}removeItem(to){this.items.delete(to)}}class GraphConfigBuilder{constructor(){const to=new DefaultStorage,ro=new DefaultClipboard(to);this.draft={getNodeConfig:()=>rect,getEdgeConfig:()=>line$1,getPortConfig:()=>defaultPort,getGroupConfig:()=>{},getClipboard:()=>ro}}static default(){return new GraphConfigBuilder}static from(to){return new GraphConfigBuilder().registerNode(to.getNodeConfig.bind(to)).registerEdge(to.getEdgeConfig.bind(to)).registerPort(to.getPortConfig.bind(to)).registerGroup(to.getGroupConfig.bind(to)).registerClipboard(to.getClipboard.bind(to))}registerNode(to){return this.draft.getNodeConfig=to,this}registerEdge(to){return this.draft.getEdgeConfig=to,this}registerPort(to){return this.draft.getPortConfig=to,this}registerGroup(to){return this.draft.getGroupConfig=to,this}registerClipboard(to){return this.draft.getClipboard=to,this}build(){return this.draft}}const GraphConfigContext=reactExports.createContext(GraphConfigBuilder.default().build());var MenuType;(function(eo){eo.Node="node",eo.Edge="edge",eo.Port="port",eo.Canvas="canvas",eo.Multi="multi"})(MenuType||(MenuType={}));class ContextMenuConfig{constructor(){this.contextMenu=new Map}registerContextMenu(to){this.contextMenuProps=Object.assign({},to)}registerMenu(to,ro){this.contextMenu.set(ro,to)}getMenu(to){if(this.contextMenuProps&&this.contextMenu.has(to)){const{className:ro,styles:no}=this.contextMenuProps;return reactExports.createElement("div",{className:ro,style:no},this.contextMenu.get(to))}return null}}const ContextMenuConfigContext=reactExports.createContext(new ContextMenuConfig),emptySelectBoxPosition=()=>({startX:0,startY:0,height:0,width:0}),SelectBox=eo=>{const{selectBoxPosition:to,style:ro}=eo,no=`m${to.startX} ${to.startY} v ${to.height} h ${to.width} v${-to.height} h ${-to.width}`,oo=ro??{fill:"none",stroke:defaultColors.defaultColor};return jsxRuntimeExports.jsx("path",{style:oo,d:no})};var GraphFeatures;(function(eo){eo.NodeDraggable="nodeDraggable",eo.NodeResizable="nodeResizable",eo.ClickNodeToSelect="clickNodeToSelect",eo.PanCanvas="panCanvas",eo.MultipleSelect="multipleSelect",eo.LassoSelect="lassoSelect",eo.Delete="delete",eo.AddNewNodes="addNewNodes",eo.AddNewEdges="addNewEdges",eo.AddNewPorts="addNewPorts",eo.AutoFit="autoFit",eo.CanvasHorizontalScrollable="canvasHorizontalScrollable",eo.CanvasVerticalScrollable="canvasVerticalScrollable",eo.NodeHoverView="nodeHoverView",eo.PortHoverView="portHoverView",eo.AddEdgesByKeyboard="addEdgesByKeyboard",eo.A11yFeatures="a11YFeatures",eo.EditNode="editNode",eo.AutoAlign="autoAlign",eo.UndoStack="undoStack",eo.CtrlKeyZoom="ctrlKeyZoom",eo.LimitBoundary="limitBoundary",eo.EditEdge="editEdge",eo.InvisibleScrollbar="InvisibleScrollbar"})(GraphFeatures||(GraphFeatures={}));GraphFeatures.NodeDraggable,GraphFeatures.NodeResizable,GraphFeatures.ClickNodeToSelect,GraphFeatures.PanCanvas,GraphFeatures.MultipleSelect,GraphFeatures.LassoSelect,GraphFeatures.Delete,GraphFeatures.AddNewNodes,GraphFeatures.AddNewEdges,GraphFeatures.AddNewPorts,GraphFeatures.CanvasHorizontalScrollable,GraphFeatures.CanvasVerticalScrollable,GraphFeatures.NodeHoverView,GraphFeatures.PortHoverView,GraphFeatures.AddEdgesByKeyboard,GraphFeatures.A11yFeatures,GraphFeatures.AutoFit,GraphFeatures.EditNode,GraphFeatures.AutoAlign,GraphFeatures.UndoStack,GraphFeatures.CtrlKeyZoom,GraphFeatures.LimitBoundary,GraphFeatures.EditEdge;const defaultFeatures=new Set([GraphFeatures.NodeDraggable,GraphFeatures.NodeResizable,GraphFeatures.ClickNodeToSelect,GraphFeatures.PanCanvas,GraphFeatures.MultipleSelect,GraphFeatures.Delete,GraphFeatures.AddNewNodes,GraphFeatures.AddNewEdges,GraphFeatures.AddNewPorts,GraphFeatures.CanvasHorizontalScrollable,GraphFeatures.CanvasVerticalScrollable,GraphFeatures.NodeHoverView,GraphFeatures.PortHoverView,GraphFeatures.AddEdgesByKeyboard,GraphFeatures.A11yFeatures,GraphFeatures.EditNode,GraphFeatures.AutoAlign,GraphFeatures.UndoStack,GraphFeatures.CtrlKeyZoom,GraphFeatures.LimitBoundary]),dataReadonlyMode=new Set([GraphFeatures.NodeDraggable,GraphFeatures.NodeResizable,GraphFeatures.ClickNodeToSelect,GraphFeatures.PanCanvas,GraphFeatures.MultipleSelect,GraphFeatures.CanvasHorizontalScrollable,GraphFeatures.CanvasVerticalScrollable,GraphFeatures.NodeHoverView,GraphFeatures.PortHoverView,GraphFeatures.A11yFeatures,GraphFeatures.CtrlKeyZoom,GraphFeatures.LimitBoundary]);GraphFeatures.ClickNodeToSelect,GraphFeatures.CanvasHorizontalScrollable,GraphFeatures.CanvasVerticalScrollable,GraphFeatures.NodeHoverView,GraphFeatures.PortHoverView,GraphFeatures.A11yFeatures,GraphFeatures.LassoSelect,GraphFeatures.LimitBoundary;const previewMode=new Set([GraphFeatures.NodeHoverView,GraphFeatures.PortHoverView,GraphFeatures.AutoFit]),emptyDummyNodes=()=>({dx:0,dy:0,dWidth:0,dHeight:0,alignedDX:void 0,alignedDY:void 0,nodes:[],isVisible:!1}),is$1$1=Object.is;let MapIterator$1=class{constructor(to,ro){this.upstream=to,this.f=ro}[Symbol.iterator](){return this}next(){const to=this.upstream.next();return to.done?to:{done:!1,value:this.f(to.value)}}};var NodeType$1;(function(eo){eo[eo.Bitmap=0]="Bitmap",eo[eo.Collision=1]="Collision"})(NodeType$1||(NodeType$1={}));const HASH_CODE_LENGTH=30,BIT_PARTITION_SIZE=5,FULL_MASK=1073741823;function bitPosFrom(eo){return 1<<eo}function indexFrom(eo,to,ro){return eo===FULL_MASK?to:bitCount(eo&ro-1)}function maskFrom(eo,to){return eo>>>to&31}function bitCount(eo){return eo|=0,eo-=eo>>>1&1431655765,eo=(eo&858993459)+(eo>>>2&858993459),eo=eo+(eo>>>4)&252645135,eo+=eo>>>8,eo+=eo>>>16,eo&127}let BitmapIndexedNode$1=class U1{get valueCount(){return this.values.length}get nodeCount(){return this.children.length}constructor(to,ro,no,oo,io,so,ao,lo){this.type=NodeType$1.Bitmap,this.owner=to,this.dataMap=ro,this.nodeMap=no,this.keys=oo,this.values=io,this.children=so,this.hashes=ao,this.size=lo}static empty(to){return new U1(to,0,0,[],[],[],[],0)}getKey(to){return this.keys[to]}getValue(to){return this.values[to]}getHash(to){return this.hashes[to]}getNode(to){return this.children[to]}contains(to,ro,no){const oo=maskFrom(ro,no),io=bitPosFrom(oo),{dataMap:so,nodeMap:ao}=this;if(so&io){const lo=indexFrom(so,oo,io),uo=this.getKey(lo);return is$1$1(uo,to)}else if(ao&io){const lo=indexFrom(ao,oo,io);return this.getNode(lo).contains(to,ro,no+BIT_PARTITION_SIZE)}return!1}get(to,ro,no){const oo=maskFrom(ro,no),io=bitPosFrom(oo),{dataMap:so,nodeMap:ao}=this;if(so&io){const lo=indexFrom(so,oo,io),uo=this.getKey(lo);return is$1$1(uo,to)?this.getValue(lo):void 0}else if(ao&io){const lo=indexFrom(ao,oo,io);return this.getNode(lo).get(to,ro,no+BIT_PARTITION_SIZE)}}insert(to,ro,no,oo,io){const so=maskFrom(oo,io),ao=bitPosFrom(so),{dataMap:lo,nodeMap:uo}=this;if(lo&ao){const co=indexFrom(lo,so,ao),fo=this.getKey(co),ho=this.getValue(co),po=this.getHash(co);if(po===oo&&is$1$1(fo,ro))return is$1$1(ho,no)?this:this.setValue(to,no,co);{const go=mergeTwoKeyValPairs(to,fo,ho,po,ro,no,oo,io+BIT_PARTITION_SIZE);return this.migrateInlineToNode(to,ao,go)}}else if(uo&ao){const co=indexFrom(uo,so,ao),ho=this.getNode(co).insert(to,ro,no,oo,io+BIT_PARTITION_SIZE);return this.setNode(to,1,ho,ao)}return this.insertValue(to,ao,ro,oo,no)}update(to,ro,no,oo,io){const so=maskFrom(oo,io),ao=bitPosFrom(so),{dataMap:lo,nodeMap:uo}=this;if(lo&ao){const co=indexFrom(lo,so,ao),fo=this.getKey(co);if(this.getHash(co)===oo&&is$1$1(fo,ro)){const po=this.getValue(co),go=no(po);return is$1$1(po,go)?this:this.setValue(to,go,co)}}else if(uo&ao){const co=indexFrom(uo,so,ao),fo=this.getNode(co),ho=fo.update(to,ro,no,oo,io+BIT_PARTITION_SIZE);return ho===fo?this:this.setNode(to,0,ho,ao)}return this}remove(to,ro,no,oo){const io=maskFrom(no,oo),so=bitPosFrom(io);if(this.dataMap&so){const ao=indexFrom(this.dataMap,io,so),lo=this.getKey(ao);return is$1$1(lo,ro)?this.removeValue(to,so):void 0}else if(this.nodeMap&so){const ao=indexFrom(this.nodeMap,io,so),lo=this.getNode(ao),uo=lo.remove(to,ro,no,oo+BIT_PARTITION_SIZE);if(uo===void 0)return;const[co,fo]=uo;return co.size===1?this.size===lo.size?[new U1(to,so,0,[co.getKey(0)],[co.getValue(0)],[],[co.getHash(0)],1),fo]:[this.migrateNodeToInline(to,so,co),fo]:[this.setNode(to,-1,co,so),fo]}}toOwned(to){return this.owner===to?this:new U1(to,this.dataMap,this.nodeMap,this.keys.slice(),this.values.slice(),this.children.slice(),this.hashes.slice(),this.size)}iter(){return new BitmapIndexedNodeIterator(this)}map(to,ro){const no=this.valueCount,oo=[],io=[],so=[];let ao=!0;for(let lo=0;lo<no;lo+=1){const uo=this.getKey(lo),co=this.getValue(lo),fo=ro(co,uo);ao=ao&&is$1$1(co,fo),oo.push(uo),io.push(fo)}for(let lo=0;lo<this.children.length;lo+=1){const uo=this.getNode(lo),co=uo.map(to,ro);ao=ao&&co===uo,so.push(co)}return ao?this:new U1(to,this.dataMap,this.nodeMap,oo,io,so,this.hashes,this.size)}forEach(to){for(let ro=0;ro<this.values.length;ro+=1){const no=this.getKey(ro),oo=this.getValue(ro);to(oo,no)}for(let ro=0;ro<this.children.length;ro+=1)this.getNode(ro).forEach(to)}find(to){for(let ro=0;ro<this.values.length;ro+=1){const no=this.getValue(ro);if(to(no))return no}for(let ro=0;ro<this.children.length;ro+=1){const oo=this.getNode(ro).find(to);if(oo)return oo}}dataIndex(to){return bitCount(this.dataMap&to-1)}nodeIndex(to){return bitCount(this.nodeMap&to-1)}setValue(to,ro,no){const oo=this.toOwned(to);return oo.values[no]=ro,oo}insertValue(to,ro,no,oo,io){const so=this.dataIndex(ro),ao=this.toOwned(to);return ao.size+=1,ao.dataMap|=ro,ao.keys.splice(so,0,no),ao.values.splice(so,0,io),ao.hashes.splice(so,0,oo),ao}migrateInlineToNode(to,ro,no){const oo=this.dataIndex(ro),io=this.nodeIndex(ro),so=this.toOwned(to);return so.dataMap^=ro,so.nodeMap|=ro,so.keys.splice(oo,1),so.values.splice(oo,1),so.children.splice(io,0,no),so.hashes.splice(oo,1),so.size+=1,so}migrateNodeToInline(to,ro,no){const oo=this.nodeIndex(ro),io=this.dataIndex(ro),so=no.getKey(0),ao=no.getValue(0),lo=no.getHash(0),uo=this.toOwned(to);return uo.dataMap=uo.dataMap|ro,uo.nodeMap=uo.nodeMap^ro,uo.children.splice(oo,1),uo.keys.splice(io,0,so),uo.values.splice(io,0,ao),uo.size-=1,uo.hashes.splice(io,0,lo),uo}setNode(to,ro,no,oo){const io=this.nodeIndex(oo),so=this.toOwned(to);return so.children[io]=no,so.size=so.size+ro,so}removeValue(to,ro){const no=this.dataIndex(ro),oo=this.getValue(no),io=this.toOwned(to);return io.dataMap^=ro,io.keys.splice(no,1),io.values.splice(no,1),io.hashes.splice(no,1),io.size-=1,[io,oo]}};function mergeTwoKeyValPairs(eo,to,ro,no,oo,io,so,ao){if(ao>=HASH_CODE_LENGTH)return new HashCollisionNode$1(eo,no,[to,oo],[ro,io]);{const lo=maskFrom(no,ao),uo=maskFrom(so,ao);if(lo!==uo){const co=bitPosFrom(lo)|bitPosFrom(uo);return lo<uo?new BitmapIndexedNode$1(eo,co,0,[to,oo],[ro,io],[],[no,so],2):new BitmapIndexedNode$1(eo,co,0,[oo,to],[io,ro],[],[so,no],2)}else{const co=bitPosFrom(lo),fo=mergeTwoKeyValPairs(eo,to,ro,no,oo,io,so,ao+BIT_PARTITION_SIZE);return new BitmapIndexedNode$1(eo,0,co,[],[],[fo],[],fo.size)}}}let HashCollisionNode$1=class Fm{get size(){return this.keys.length}constructor(to,ro,no,oo){this.type=NodeType$1.Collision,this.owner=to,this.hash=ro,this.keys=no,this.values=oo}toOwned(to){return this.owner===to?this:new Fm(to,this.hash,this.keys.slice(),this.values.slice())}contains(to){return this.keys.includes(to)}get(to){const ro=this.keys.findIndex(no=>is$1$1(no,to));return ro>=0?this.values[ro]:void 0}insert(to,ro,no){const oo=this.keys.findIndex(io=>is$1$1(io,ro));if(oo>=0){const io=this.values[oo];if(is$1$1(io,no))return this;const so=this.toOwned(to);return so.values[oo]=no,so}else{const io=this.toOwned(to);return io.keys.push(ro),io.values.push(no),io}}update(to,ro,no){const oo=this.keys.findIndex(io=>is$1$1(io,ro));if(oo>=0){const io=this.values[oo],so=no(io);if(is$1$1(io,so))return this;const ao=this.toOwned(to);return ao.values[oo]=so,ao}return this}remove(to,ro){const no=this.keys.findIndex(io=>is$1$1(io,ro));if(no===-1)return;const oo=this.getValue(no);return[new Fm(to,this.hash,this.keys.filter((io,so)=>so!==no),this.values.filter((io,so)=>so!==no)),oo]}getKey(to){return this.keys[to]}getValue(to){return this.values[to]}getHash(){return this.hash}iter(){return new HashCollisionNodeIterator(this)}map(to,ro){const no=this.size,oo=[];let io=!1;for(let so=0;so<no;so+=1){const ao=this.getKey(so),lo=this.getValue(so),uo=ro(lo,ao);oo.push(uo),io=is$1$1(lo,uo)}return io?new Fm(to,this.hash,this.keys,oo):this}forEach(to){const ro=this.size;for(let no=0;no<ro;no+=1){const oo=this.getKey(no),io=this.getValue(no);to(io,oo)}}find(to){return this.values.find(to)}};class BitmapIndexedNodeIterator{constructor(to){this.index=0,this.delegate=null,this.done=!1,this.node=to,this.valueCount=to.valueCount,this.nodeCount=to.nodeCount,this.size=this.valueCount+this.nodeCount}[Symbol.iterator](){return this.clone()}next(){if(this.done)return{done:!0,value:void 0};if(this.index<this.valueCount){const to=this.node.getKey(this.index),ro=this.node.getValue(this.index);return this.index+=1,{done:!1,value:[to,ro]}}if(this.index<this.size){this.delegate===null&&(this.delegate=this.node.getNode(this.index-this.valueCount).iter());const to=this.delegate.next();return to.done?(this.index+=1,this.delegate=null,this.next()):to}return this.done=!0,{done:!0,value:void 0}}clone(){const to=new BitmapIndexedNodeIterator(this.node);return to.index=this.index,to.delegate=this.delegate,to.done=this.done,to}}class HashCollisionNodeIterator{constructor(to){this.index=0,this.node=to}[Symbol.iterator](){return this.clone()}next(){if(this.index>=this.node.size)return{done:!0,value:void 0};const to=this.node.getKey(this.index),ro=this.node.getValue(this.index);return this.index+=1,{done:!1,value:[to,ro]}}clone(){const to=new HashCollisionNodeIterator(this.node);return to.index=this.index,to}}function hashing(eo){if(eo===null)return 1108378658;switch(typeof eo){case"boolean":return eo?839943201:839943200;case"number":return hashNumber$1(eo);case"string":return hashString$1(eo);case"object":case"function":case"symbol":throw new Error("Using object, function and symbol as hash map key is not supported");case"undefined":return 839943203;default:return hashString$1(String(eo))}}function hashString$1(eo){let to=0;for(let ro=0;ro<eo.length;ro++)to=to*31+eo.charCodeAt(ro)|0;return smi$1(to)}function hashNumber$1(eo){if(!isFinite(eo))return 0;let to=eo|0;for(to!==eo&&(to^=eo*4294967295);eo>4294967295;)eo/=4294967295,to^=eo;return smi$1(to)}function smi$1(eo){return eo&1073741823}class Uid{constructor(){this.id=0}take(){return this.id+=1,this.id}peek(){return this.id+1}}const uid$1=new Uid;class HashMap{get size(){return this.root.size}constructor(to){this.id=uid$1.take(),this.root=to}static empty(){return HashMapBuilder.empty().finish()}static from(to){return HashMapBuilder.from(to).finish()}get(to){const ro=hashing(to);return this.root.get(to,ro,0)}has(to){const ro=hashing(to);return this.root.contains(to,ro,0)}set(to,ro){return this.withRoot(this.root.insert(uid$1.peek(),to,ro,hashing(to),0))}update(to,ro){return this.withRoot(this.root.update(uid$1.peek(),to,ro,hashing(to),0))}delete(to){const ro=hashing(to),no=uid$1.peek(),oo=this.root.remove(no,to,ro,0);return oo===void 0?this:new HashMap(oo[0])}clone(){return new HashMap(this.root)}[Symbol.iterator](){return this.entries()}entries(){return this.root.iter()}values(){return new MapIterator$1(this.entries(),([,to])=>to)}mutate(){return new HashMapBuilder(this.root)}map(to){return new HashMap(this.root.map(uid$1.peek(),to))}filter(to){const ro=this.mutate();return this.forEach((no,oo)=>{to(no,oo)||ro.delete(oo)}),ro.finish()}forEach(to){this.root.forEach(to)}find(to){return this.root.find(to)}withRoot(to){return to===this.root?this:new HashMap(to)}}class HashMapBuilder{constructor(to){this.id=uid$1.take(),this.root=to}static empty(){const to=uid$1.peek(),ro=BitmapIndexedNode$1.empty(to);return new HashMapBuilder(ro)}static from(to){if(Array.isArray(to))return HashMapBuilder.fromArray(to);const ro=to[Symbol.iterator](),no=HashMapBuilder.empty();let oo=ro.next();for(;!oo.done;){const[io,so]=oo.value;no.set(io,so),oo=ro.next()}return no}static fromArray(to){const ro=HashMapBuilder.empty();for(let no=0;no<to.length;no+=1){const[oo,io]=to[no];ro.set(oo,io)}return ro}get(to){const ro=hashing(to);return this.root.get(to,ro,0)}has(to){const ro=hashing(to);return this.root.contains(to,ro,0)}set(to,ro){return this.root=this.root.insert(this.id,to,ro,hashing(to),0),this}update(to,ro){const no=hashing(to);return this.root=this.root.update(this.id,to,ro,no,0),this}delete(to){const ro=hashing(to),no=this.root.remove(this.id,to,ro,0);return no!==void 0&&(this.root=no[0]),this}finish(){return new HashMap(this.root)}}var NodeType$2;(function(eo){eo[eo.Internal=0]="Internal",eo[eo.Leaf=1]="Leaf"})(NodeType$2||(NodeType$2={}));const MAX_SIZE=31,MIN_SIZE$1=15,HALF_NODE_SPLIT=7;function binaryFind(eo,to){let ro=0,no=eo.length;for(;;){if(ro+1===no)return eo[ro]>=to?ro:no;const oo=ro+no>>>1;if(eo[oo]===to)return oo;to<eo[oo]?no=oo:ro=oo}}class InternalNode{get selfSize(){return this.keys.length}constructor(to,ro,no,oo,io){this.type=NodeType$2.Internal,this.owner=to,this.keys=ro,this.values=no,this.children=oo,this.size=io}iter(){return new BTreeIterator(this)}toOwned(to){return this.owner===to?this:new InternalNode(to,this.keys.slice(),this.values.slice(),this.children.slice(),this.size)}getKey(to){return this.keys[to]}getValue(to){return this.values[to]}getChild(to){return this.children[to]}get(to){const ro=this.selfSize,no=binaryFind(this.keys,to);return no!==ro&&this.getKey(no)===to?this.getValue(no):this.getChild(no).get(to)}contains(to){const ro=this.selfSize,no=binaryFind(this.keys,to);return no!==ro&&this.getKey(no)===to?!0:this.getChild(no).contains(to)}insert(to,ro,no){const oo=this.selfSize,io=binaryFind(this.keys,ro),so=this.getKey(io),ao=this.getValue(io);if(so===ro){if(is$1$1(ao,no))return[this];const lo=this.toOwned(to);return lo.values[io]=no,[lo]}else{const lo=this.getChild(io),uo=lo.insert(to,ro,no);if(uo.length===1){const co=uo[0];if(co===lo)return[this];const fo=this.toOwned(to);return fo.children[io]=co,[fo]}else{if(oo===MAX_SIZE)return this.updateWithSplit(to,uo[0],uo[1],uo[2],uo[3],io);{const co=this.toOwned(to);return co.keys.splice(io,0,uo[2]),co.values.splice(io,0,uo[3]),co.children.splice(io,1,uo[0],uo[1]),co.size+=1,[co]}}}}update(to,ro,no){const oo=binaryFind(this.keys,ro),io=this.getKey(oo),so=this.getValue(oo);if(io===ro){const ao=no(so);if(is$1$1(so,ao))return this;const lo=this.toOwned(to);return lo.values[oo]=ao,lo}else{const ao=this.getChild(oo),lo=ao.update(to,ro,no);if(lo===ao)return this;const uo=this.toOwned(to);return uo.children[oo]=lo,uo}}remove(to,ro){const no=binaryFind(this.keys,ro),oo=this.selfSize,io=this.getChild(no),so=io.size,ao=this.getKey(no);if(ao===ro){const[lo,uo,co]=io.removeMostRight(to),fo=this.toOwned(to);return fo.size-=1,fo.keys[no]=lo,fo.values[no]=uo,fo.children[no]=co,fo.balanceChild(to,co,lo,uo,no)}else{const lo=io.remove(to,ro);if(lo.size===so)return this;const uo=this.toOwned(to);if(uo.size-=1,uo.children[no]=lo,lo.selfSize>=MIN_SIZE$1)return uo;if(no===oo)return uo.balanceTail(lo),uo;const co=this.getValue(no);return uo.balanceChild(to,lo,ao,co,no)}}removeMostRight(to){const ro=this.selfSize,[no,oo,io]=this.getChild(ro).removeMostRight(to),so=this.toOwned(to);return so.size-=1,so.children[ro]=io,io.selfSize<MIN_SIZE$1&&so.balanceTail(io),[no,oo,so]}map(to,ro){const no=[],oo=[];let io=!0;for(let so=0;so<this.keys.length;so+=1){const ao=this.getKey(so),lo=this.getValue(so),uo=ro(lo,ao);no.push(uo),io=io&&is$1$1(lo,uo)}for(let so=0;so<this.children.length;so+=1){const ao=this.getChild(so),lo=ao.map(to,ro);oo.push(lo),io=io&&ao===lo}return io?this:new InternalNode(to,this.keys,no,oo,this.size)}forEach(to){for(let ro=0;ro<this.keys.length;ro+=1){const no=this.getKey(ro),oo=this.getValue(ro);to(oo,no)}for(let ro=0;ro<this.children.length;ro+=1)this.getChild(ro).forEach(to)}find(to){for(let ro=0;ro<this.keys.length;ro+=1){const no=this.getValue(ro);if(to(no))return no}for(let ro=0;ro<this.children.length;ro+=1){const oo=this.getChild(ro).find(to);if(oo)return oo}}balanceChild(to,ro,no,oo,io){if(io===0)return this.balanceHead(ro),this;const so=ro.type===NodeType$2.Internal,ao=this.getChild(io-1),lo=this.getChild(io+1);if(ao.selfSize>MIN_SIZE$1)this.rotateRight(ro,ao,io,so);else if(lo.selfSize>MIN_SIZE$1)this.rotateLeft(ro,lo,io,so);else{const uo=ao.toOwned(to),co=lo.toOwned(to),fo=ro.getKey(HALF_NODE_SPLIT),ho=ro.getValue(HALF_NODE_SPLIT);uo.keys.push(this.getKey(io-1)),uo.values.push(this.getValue(io-1)),uo.keys.push(...ro.keys.slice(0,HALF_NODE_SPLIT)),uo.values.push(...ro.values.slice(0,HALF_NODE_SPLIT)),co.keys.unshift(no),co.values.unshift(oo),co.keys.unshift(...ro.keys.slice(HALF_NODE_SPLIT+1,MIN_SIZE$1)),co.values.unshift(...ro.values.slice(HALF_NODE_SPLIT+1,MIN_SIZE$1)),this.keys.splice(io-1,2,fo),this.values.splice(io-1,2,ho),this.children.splice(io-1,3,uo,co),so&&(uo.children.push(...ro.children.slice(0,HALF_NODE_SPLIT+1)),co.children.unshift(...ro.children.slice(HALF_NODE_SPLIT+1,MIN_SIZE$1+1)),uo.updateSize(),co.updateSize())}return this}rotateLeft(to,ro,no,oo){const io=ro.toOwned(this.owner),so=io.keys.shift(),ao=io.values.shift(),lo=this.getKey(no),uo=this.getValue(no);if(to.keys.push(lo),to.values.push(uo),this.keys[no]=so,this.values[no]=ao,this.children[no+1]=io,oo){const co=io.children.shift();to.children.push(co);const fo=co.size+1;to.size+=fo,io.size-=fo}}rotateRight(to,ro,no,oo){const io=ro.toOwned(this.owner),so=io.keys.pop(),ao=io.values.pop(),lo=this.getKey(no-1),uo=this.getValue(no-1);if(to.keys.unshift(lo),to.values.unshift(uo),this.keys[no-1]=so,this.values[no-1]=ao,this.children[no-1]=io,oo){const co=io.children.pop();to.children.unshift(co);const fo=co.size+1;to.size+=fo,io.size-=fo}}balanceTail(to){const ro=this.selfSize,no=this.getChild(ro-1),oo=to.type===NodeType$2.Internal;no.selfSize===MIN_SIZE$1?(to.keys.unshift(this.getKey(ro-1)),to.values.unshift(this.getValue(ro-1)),to.keys.unshift(...no.keys),to.values.unshift(...no.values),this.keys.splice(ro-1,1),this.values.splice(ro-1,1),this.children.splice(ro-1,1),oo&&(to.children.unshift(...no.children),to.size+=no.size+1)):this.rotateRight(to,no,ro,oo)}balanceHead(to){const ro=this.getChild(1),no=to.type===NodeType$2.Internal;ro.selfSize===MIN_SIZE$1?(to.keys.push(this.getKey(0)),to.values.push(this.getValue(0)),to.keys.push(...ro.keys),to.values.push(...ro.values),this.keys.splice(0,1),this.values.splice(0,1),this.children.splice(1,1),no&&(to.children.push(...ro.children),to.size+=ro.size+1)):this.rotateLeft(to,ro,0,no)}updateWithSplit(to,ro,no,oo,io,so){const ao=this.toOwned(to);ao.keys.splice(so,0,oo),ao.values.splice(so,0,io),ao.children.splice(so,1,ro,no);const lo=new InternalNode(to,ao.keys.splice(16,16),ao.values.splice(16,16),ao.children.splice(16,17),0),uo=ao.keys.pop(),co=ao.values.pop();return ao.updateSize(),lo.updateSize(),[ao,lo,uo,co]}updateSize(){let to=this.selfSize;const ro=this.children.length;for(let no=0;no<ro;no+=1)to+=this.children[no].size;this.size=to}}class LeafNode{get size(){return this.keys.length}get selfSize(){return this.size}constructor(to,ro,no){this.type=NodeType$2.Leaf,this.owner=to,this.keys=ro,this.values=no}toOwned(to){return this.owner===to?this:new LeafNode(to,this.keys.slice(),this.values.slice())}getKey(to){return this.keys[to]}getValue(to){return this.values[to]}get(to){const ro=this.selfSize,no=binaryFind(this.keys,to);if(no!==ro)return this.getKey(no)===to?this.getValue(no):void 0}contains(to){const ro=this.selfSize,no=binaryFind(this.keys,to);return no!==ro?this.getKey(no)===to:!1}insert(to,ro,no){const oo=this.selfSize,io=binaryFind(this.keys,ro);if((io===oo?void 0:this.getKey(io))===ro){const ao=this.getValue(io);if(is$1$1(no,ao))return[this];const lo=this.toOwned(to);return lo.values[io]=no,[lo]}else{if(oo===MAX_SIZE)return this.updateWithSplit(to,ro,no,io);const ao=this.toOwned(to);return ao.keys.splice(io,0,ro),ao.values.splice(io,0,no),[ao]}}update(to,ro,no){const oo=this.selfSize,io=binaryFind(this.keys,ro);if((io===oo?void 0:this.getKey(io))===ro){const ao=this.getValue(io),lo=no(ao);if(is$1$1(lo,ao))return this;const uo=this.toOwned(to);return uo.values[io]=lo,uo}return this}remove(to,ro){const no=binaryFind(this.keys,ro),oo=this.selfSize;return no===oo?this:this.removeIndex(to,no)}removeMostRight(to){const ro=this.selfSize-1,no=this.getKey(ro),oo=this.getValue(ro),io=this.removeIndex(to,ro);return[no,oo,io]}map(to,ro){const no=[];let oo=!0;for(let io=0;io<this.keys.length;io+=1){const so=this.getKey(io),ao=this.getValue(io),lo=ro(ao,so);no.push(lo),oo=oo&&is$1$1(ao,lo)}return oo?this:new LeafNode(to,this.keys,no)}forEach(to){for(let ro=0;ro<this.keys.length;ro+=1){const no=this.getKey(ro),oo=this.getValue(ro);to(oo,no)}}find(to){return this.values.find(to)}updateWithSplit(to,ro,no,oo){const io=this.toOwned(to);io.keys.splice(oo,0,ro),io.values.splice(oo,0,no);const so=new LeafNode(to,io.keys.splice(16,16),io.values.splice(16,16)),ao=io.keys.pop(),lo=io.values.pop();return[io,so,ao,lo]}removeIndex(to,ro){const no=this.toOwned(to);return no.keys.splice(ro,1),no.values.splice(ro,1),no}}function emptyRoot(eo){return new LeafNode(eo,[],[])}function rootInsert(eo,to,ro,no){if(to.selfSize===0)return new LeafNode(eo,[ro],[no]);const oo=to.insert(eo,ro,no);if(oo.length===1)return oo[0];const[io,so,ao,lo]=oo;return new InternalNode(eo,[ao],[lo],[io,so],io.size+so.size+1)}function rootRemove(eo,to,ro){const no=to.remove(eo,ro);return no.type===NodeType$2.Internal&&no.selfSize===0?no.getChild(0):no}class BTreeIterator{constructor(to){this.delegate=null,this.index=0,this.done=!1,this.node=to,this.setDelegate(this.index)}[Symbol.iterator](){return this.clone()}next(){if(this.delegate===null)return this.yieldValue();const to=this.delegate.next();if(!to.done)return{done:!1,value:to.value};const ro=this.yieldValue();return this.index<=this.node.selfSize?this.setDelegate(this.index):(this.done=!0,this.delegate=null),ro}clone(){const to=new BTreeIterator(this.node);return to.delegate=this.delegate,to.index=this.index,to.done=this.done,to}setDelegate(to){if(this.node.type!==NodeType$2.Internal)return;const ro=this.node.getChild(to);this.delegate=new BTreeIterator(ro)}yieldValue(){if(!this.done&&this.index<this.node.selfSize){const to=this.node.getKey(this.index),ro=this.node.getValue(this.index);return this.index+=1,{done:!1,value:[to,ro]}}return this.done=!0,{done:!0,value:void 0}}}const uid=new Uid;let OrderedMap$1=class Q1{get size(){return this.hashRoot.size}constructor(to,ro,no){this.id=uid.take(),this.itemId=to,this.hashRoot=ro,this.sortedRoot=no}static empty(){return OrderedMapBuilder.empty().finish()}static from(to){return OrderedMapBuilder.from(to).finish()}delete(to){const ro=uid.peek(),no=hashing(to),oo=this.hashRoot.remove(ro,to,no,0);if(oo===void 0)return this;const[io,so]=oo,ao=this.sortedRoot.remove(ro,so);return new Q1(this.itemId,io,ao)}get(to){const ro=hashing(to),no=this.hashRoot.get(to,ro,0);if(no===void 0)return;const oo=this.sortedRoot.get(no);return oo==null?void 0:oo[1]}has(to){const ro=hashing(to);return this.hashRoot.contains(to,ro,0)}set(to,ro){const no=uid.peek();let oo=this.hashRoot.get(to,hashing(to),0),io=this.hashRoot;oo||(oo=this.itemId+1,io=this.hashRoot.insert(no,to,oo,hashing(to),0));const so=rootInsert(no,this.sortedRoot,oo,[to,ro]);return this.withRoot(this.itemId+1,io,so)}update(to,ro){const no=this.hashRoot.get(to,hashing(to),0);if(!no)return this;const oo=this.sortedRoot.update(uid.peek(),no,io=>{const[so,ao]=io,lo=ro(ao);return is$1$1(lo,ao)?io:[so,lo]});return this.withRoot(this.itemId,this.hashRoot,oo)}[Symbol.iterator](){return this.entries()}clone(){return new Q1(this.itemId,this.hashRoot,this.sortedRoot)}entries(){return new OrderedMapIterator(new BTreeIterator(this.sortedRoot))}values(){return new MapIterator$1(this.entries(),([,to])=>to)}mutate(){return new OrderedMapBuilder(this.itemId,this.hashRoot,this.sortedRoot)}map(to){const ro=uid.peek(),no=io=>{const[so,ao]=io,lo=to(ao,so);return is$1$1(ao,lo)?io:[so,lo]},oo=this.sortedRoot.map(ro,no);return new Q1(this.itemId,this.hashRoot,oo)}forEach(to){this.sortedRoot.forEach(([ro,no])=>{to(no,ro)})}find(to){const ro=this.sortedRoot.find(([,no])=>to(no));return ro?ro[1]:void 0}first(){const to=this.entries().next();if(!to.done)return to.value[1]}filter(to){const ro=this.mutate();return this.forEach((no,oo)=>{to(no,oo)||ro.delete(oo)}),ro.finish()}withRoot(to,ro,no){return ro===this.hashRoot&&no===this.sortedRoot?this:new Q1(to,ro,no)}};class OrderedMapIterator{constructor(to){this.delegate=to}[Symbol.iterator](){return this.clone()}next(){const to=this.delegate.next();return to.done?{done:!0,value:void 0}:{done:!1,value:to.value[1]}}clone(){return new OrderedMapIterator(this.delegate.clone())}}class OrderedMapBuilder{constructor(to,ro,no){this.id=uid.take(),this.itemId=to,this.hashRoot=ro,this.sortedRoot=no}static empty(){const to=uid.peek(),ro=BitmapIndexedNode$1.empty(to),no=emptyRoot(to);return new OrderedMapBuilder(0,ro,no)}static from(to){if(Array.isArray(to))return OrderedMapBuilder.fromArray(to);const ro=OrderedMapBuilder.empty(),no=to[Symbol.iterator]();let oo=no.next();for(;!oo.done;){const[io,so]=oo.value;ro.set(io,so),oo=no.next()}return ro}static fromArray(to){const ro=OrderedMapBuilder.empty();for(let no=0;no<to.length;no+=1){const[oo,io]=to[no];ro.set(oo,io)}return ro}delete(to){const ro=hashing(to),no=this.hashRoot.remove(this.id,to,ro,0);if(no===void 0)return this;const oo=no[1];return this.hashRoot=no[0],this.sortedRoot=rootRemove(this.id,this.sortedRoot,oo),this}get(to){var ro;const no=hashing(to),oo=this.hashRoot.get(to,no,0);if(oo!==void 0)return(ro=this.sortedRoot.get(oo))===null||ro===void 0?void 0:ro[1]}has(to){const ro=hashing(to);return this.hashRoot.contains(to,ro,0)}set(to,ro){let no=this.hashRoot.get(to,hashing(to),0);return no===void 0&&(no=this.itemId+1,this.itemId+=1,this.hashRoot=this.hashRoot.insert(this.id,to,no,hashing(to),0)),this.sortedRoot=rootInsert(this.id,this.sortedRoot,no,[to,ro]),this}update(to,ro){const no=this.hashRoot.get(to,hashing(to),0);return no?(this.sortedRoot=this.sortedRoot.update(this.id,no,oo=>{const[io,so]=oo,ao=ro(so);return is$1$1(ao,so)?oo:[io,ao]}),this):this}finish(){return new OrderedMap$1(this.itemId,this.hashRoot,this.sortedRoot)}}const getPortPosition=(eo,to,ro)=>{const no=getRectWidth(ro,eo),oo=getRectHeight(ro,eo),io=to.position?to.position[0]*no:no*.5,so=eo.x+io,ao=to.position?to.position[1]*oo:oo,lo=eo.y+ao;return{x:so,y:lo}},getPortPositionByPortId=(eo,to,ro)=>{const no=getNodeConfig(eo,ro);if(!no)return;const io=(eo.ports||[]).find(so=>so.id===to);if(!io){Debug.warn(`invalid port id ${JSON.stringify(io)}`);return}return getPortPosition(eo,io,no)},identical=eo=>eo,isMobile=()=>[/Android/i,/webOS/i,/iPhone/i,/iPad/i,/iPod/i,/BlackBerry/i,/Windows Phone/i].some(to=>navigator.userAgent.match(to));var BrowserType;(function(eo){eo.Unknown="Unknown",eo.Edge="Edge",eo.EdgeChromium="EdgeChromium",eo.Opera="Opera",eo.Chrome="Chrome",eo.IE="IE",eo.Firefox="Firefox",eo.Safari="Safari",eo.Electron="Electron"})(BrowserType||(BrowserType={}));const getBrowser=()=>{const eo=navigator.userAgent.toLowerCase();if(eo.indexOf("electron")>-1)return BrowserType.Electron;switch(!0){case eo.indexOf("edge")>-1:return BrowserType.Edge;case eo.indexOf("edg")>-1:return BrowserType.EdgeChromium;case(eo.indexOf("opr")>-1&&!!window.opr):return BrowserType.Opera;case(eo.indexOf("chrome")>-1&&!!window.chrome):return BrowserType.Chrome;case eo.indexOf("trident")>-1:return BrowserType.IE;case eo.indexOf("firefox")>-1:return BrowserType.Firefox;case eo.indexOf("safari")>-1:return BrowserType.Safari;default:return BrowserType.Unknown}},isSupported=()=>{if(isMobile())return!1;const eo=getBrowser();return[BrowserType.Chrome,BrowserType.EdgeChromium,BrowserType.Firefox,BrowserType.Safari,BrowserType.Electron].indexOf(eo)>-1},isMacOs=navigator.userAgent.includes("Macintosh"),metaControl=eo=>isMacOs?eo.metaKey:eo.ctrlKey,checkIsMultiSelect=eo=>eo.shiftKey||metaControl(eo),transformPoint=(eo,to,ro)=>({x:ro[0]*eo+ro[2]*to+ro[4],y:ro[1]*eo+ro[3]*to+ro[5]}),reverseTransformPoint=(eo,to,ro)=>{const[no,oo,io,so,ao,lo]=ro;return{x:((eo-ao)*so-(to-lo)*io)/(no*so-oo*io),y:((eo-ao)*oo-(to-lo)*no)/(oo*io-no*so)}},getPointDeltaByClientDelta=(eo,to,ro)=>{const[no,oo,io,so]=ro,ao=so*eo/(no*so-oo*io)+io*to/(oo*io-no*so),lo=oo*eo/(oo*io-no*so)+no*to/(no*so-oo*io);return{x:ao,y:lo}},getClientDeltaByPointDelta=(eo,to,ro)=>{if(!ro)return{x:eo,y:to};const[no,oo,io,so]=ro;return transformPoint(eo,to,[no,oo,io,so,0,0])},getRealPointFromClientPoint=(eo,to,ro)=>{const{rect:no}=ro,oo=eo-no.left,io=to-no.top;return reverseTransformPoint(oo,io,ro.transformMatrix)},getClientPointFromRealPoint=(eo,to,ro)=>{const{x:no,y:oo}=transformPoint(eo,to,ro.transformMatrix),{rect:io}=ro;return{x:no+io.left,y:oo+io.top}},getContainerClientPoint=(eo,to,ro)=>{const no=getClientPointFromRealPoint(eo,to,ro),{rect:oo}=ro;return{x:no.x-oo.left,y:no.y-oo.top}};function markEdgeDirty(eo,to){eo.update(to,ro=>ro.shallow())}const getNearestConnectablePort=eo=>{const{parentNode:to,clientX:ro,clientY:no,graphConfig:oo,viewport:io}=eo;let so=1/0,ao;if(!to.ports)return;const lo=getRealPointFromClientPoint(ro,no,io);return to.ports.forEach(uo=>{if(isConnectable(oo,Object.assign(Object.assign({},eo),{model:uo}))){const co=getPortPositionByPortId(to,uo.id,oo);if(!co)return;const fo=lo.x-co.x,ho=lo.y-co.y,po=fo*fo+ho*ho;po<so&&(so=po,ao=uo)}}),ao},isConnectable=(eo,to)=>{const ro=eo.getPortConfig(to.model);return ro?ro.getIsConnectable(to):!1},filterSelectedItems=eo=>{const to=new Map,ro=[];return eo.nodes.forEach(({inner:no})=>{isSelected(no)&&to.set(no.id,no)}),eo.edges.forEach(({inner:no})=>{(isSelected(no)||to.has(no.source)&&to.has(no.target))&&ro.push(no)}),{nodes:Array.from(to.values()),edges:ro}},getNeighborPorts=(eo,to,ro)=>{const no=[],oo=eo.getEdgesBySource(to,ro),io=eo.getEdgesByTarget(to,ro);return oo==null||oo.forEach(so=>{const ao=eo.edges.get(so);ao&&no.push({nodeId:ao.target,portId:ao.targetPortId})}),io==null||io.forEach(so=>{const ao=eo.edges.get(so);ao&&no.push({nodeId:ao.source,portId:ao.sourcePortId})}),no},unSelectAllEntity=()=>eo=>eo.mapNodes(to=>to.update(ro=>{var no;const oo=Object.assign(Object.assign({},ro),{ports:(no=ro.ports)===null||no===void 0?void 0:no.map(updateStatus(replace$1(GraphPortStatus.Default)))});return updateStatus(replace$1(GraphNodeStatus.Default))(oo)})).mapEdges(to=>to.update(updateStatus(replace$1(GraphEdgeStatus.Default)))),nodeSelection=(eo,to)=>{if(isNodeEditing(to))return identical;const ro=checkIsMultiSelect(eo);return isSelected(to)&&!ro?identical:no=>{const oo=ro?io=>io.id!==to.id?isSelected(io):eo.button===MouseEventButton.Secondary?!0:!isSelected(to):io=>io.id===to.id;return no.selectNodes(oo,to.id)}},getNodeAutomationId=eo=>{var to;return`node-container-${(to=eo.name)!==null&&to!==void 0?to:"unnamed"}-${eo.id}`},getPortAutomationId=(eo,to)=>`port-${to.name}-${to.id}-${eo.name}-${eo.id}`,getNodeUid=(eo,to)=>`node:${eo}:${to.id}`,getPortUid=(eo,to,ro)=>`port:${eo}:${to.id}:${ro.id}`,getEdgeUid=(eo,to)=>`edge:${eo}:${to.id}`;function preventSpread(eo){Object.defineProperty(eo,"__preventSpread",{enumerable:!0,configurable:!1,get(){document.currentScript&&Debug.error(`${eo.constructor.name} is a class, which should not be used in the spread syntax or argument of Object.assign`)}})}class EdgeModel{get id(){return this.inner.id}get automationId(){return this.inner.automationId}get source(){return this.inner.source}get target(){return this.inner.target}get sourcePortId(){return this.inner.sourcePortId}get targetPortId(){return this.inner.targetPortId}get status(){return this.inner.status}get data(){return this.inner.data}constructor(to){this.inner=to,preventSpread(this)}static fromJSON(to){return new EdgeModel(to)}updateStatus(to){return this.update(updateStatus(to))}update(to){const ro=to(this.inner);return ro===this.inner?this:new EdgeModel(ro)}shallow(){return new EdgeModel(this.inner)}toJSON(){return this.inner}}const is$2=Object.is;function mapCow(eo,to){const ro=[];let no=!0;for(let oo=0;oo<eo.length;oo+=1){const io=eo[oo],so=to(io,oo);no=no&&is$2(io,so),ro.push(so)}return no?eo:ro}class NodeModel{get id(){return this.inner.id}get status(){return this.inner.status}get ports(){return this.inner.ports}get ariaLabel(){return this.inner.ariaLabel}get name(){return this.inner.name}get x(){return this.inner.x}get y(){return this.inner.y}get automationId(){return this.inner.automationId}get isInSearchResults(){return this.inner.isInSearchResults}get isCurrentSearchResult(){return this.inner.isCurrentSearchResult}get data(){return this.inner.data}get height(){return this.inner.height}get width(){return this.inner.width}get layer(){var to;return(to=this.inner.layer)!==null&&to!==void 0?to:0}constructor(to,ro,no,oo){this.inner=to,this.portPositionCache=ro,this.prev=no,this.next=oo,preventSpread(this)}static fromJSON(to,ro,no){return new NodeModel(to,new Map,ro,no)}getPort(to){var ro;return(ro=this.ports)===null||ro===void 0?void 0:ro.find(no=>no.id===to)}link({prev:to,next:ro}){return to===this.prev&&ro===this.next?this:new NodeModel(this.inner,this.portPositionCache,to??this.prev,ro??this.next)}updateStatus(to){return this.update(updateStatus(to))}update(to){const ro=to(this.inner);return ro===this.inner?this:new NodeModel(ro,new Map,this.prev,this.next)}updateData(to){return this.data?this.update(ro=>{const no=to(ro.data);return no===ro.data?ro:Object.assign(Object.assign({},ro),{data:no})}):this}getPortPosition(to,ro){let no=this.portPositionCache.get(to);return no||(no=getPortPositionByPortId(this.inner,to,ro),this.portPositionCache.set(to,no)),no}hasPort(to){var ro;return!!(!((ro=this.inner.ports)===null||ro===void 0)&&ro.find(no=>no.id===to))}updatePositionAndSize(to){const{x:ro,y:no,width:oo,height:io}=to,so=Object.assign(Object.assign({},this.inner),{x:ro,y:no,width:oo??this.inner.width,height:io??this.inner.height});return new NodeModel(so,new Map,this.prev,this.next)}updatePorts(to){if(!this.inner.ports)return this;const ro=mapCow(this.inner.ports,to),no=this.inner.ports===ro?this.inner:Object.assign(Object.assign({},this.inner),{ports:ro});return no===this.inner?this:new NodeModel(no,new Map,this.prev,this.next)}invalidCache(){return new NodeModel(this.inner,new Map,this.prev,this.next)}toJSON(){return this.inner}}class GraphModel{constructor(to){this.nodes=to.nodes,this.edges=to.edges,this.groups=to.groups,this.head=to.head,this.tail=to.tail,this.edgesBySource=to.edgesBySource,this.edgesByTarget=to.edgesByTarget,this.selectedNodes=to.selectedNodes,preventSpread(this)}static empty(){return new GraphModel({nodes:OrderedMap$1.empty(),edges:HashMap.empty(),groups:[],head:void 0,tail:void 0,edgesBySource:HashMap.empty(),edgesByTarget:HashMap.empty(),selectedNodes:new Set})}static fromJSON(to){var ro;const no=OrderedMap$1.empty().mutate(),oo=HashMap.empty().mutate();let io,so;if(to.nodes.length===0)io=void 0,so=void 0;else if(to.nodes.length===1){const uo=to.nodes[0];no.set(uo.id,NodeModel.fromJSON(uo,void 0,void 0)),io=uo.id,so=uo.id}else{const uo=to.nodes[0],co=to.nodes[1],fo=to.nodes[to.nodes.length-1];io=uo.id,so=fo.id,no.set(uo.id,NodeModel.fromJSON(uo,void 0,co.id));let ho=to.nodes[0];if(to.nodes.length>2)for(let po=1;po<to.nodes.length-1;po+=1){const go=to.nodes[po],vo=to.nodes[po+1];no.set(go.id,NodeModel.fromJSON(go,ho.id,vo.id)),ho=go}no.set(fo.id,NodeModel.fromJSON(fo,ho.id,void 0))}const ao=HashMapBuilder.empty(),lo=HashMapBuilder.empty();for(const uo of to.edges)oo.set(uo.id,EdgeModel.fromJSON(uo)),setEdgeByPortMutable(ao,uo.id,uo.source,uo.sourcePortId),setEdgeByPortMutable(lo,uo.id,uo.target,uo.targetPortId);return new GraphModel({nodes:no.finish(),edges:oo.finish(),groups:(ro=to.groups)!==null&&ro!==void 0?ro:[],head:io,tail:so,edgesBySource:ao.finish(),edgesByTarget:lo.finish(),selectedNodes:new Set})}getNavigationFirstNode(){if(this.head!==void 0)return this.nodes.get(this.head)}updateNode(to,ro){var no,oo;const io=this.nodes.update(to,ao=>ao.update(ro));if(io===this.nodes)return this;const so=this.edges.mutate();return(no=this.edgesBySource.get(to))===null||no===void 0||no.forEach(ao=>{ao.forEach(lo=>{markEdgeDirty(so,lo)})}),(oo=this.edgesByTarget.get(to))===null||oo===void 0||oo.forEach(ao=>{ao.forEach(lo=>{markEdgeDirty(so,lo)})}),this.merge({nodes:io,edges:so.finish()})}updateNodeData(to,ro){return this.merge({nodes:this.nodes.update(to,no=>no.updateData(ro))})}updatePort(to,ro,no){const oo=this.nodes.update(to,io=>io.updatePorts(so=>so.id===ro?no(so):so));return this.merge({nodes:oo})}insertNode(to){const ro=this.nodes.mutate().set(to.id,NodeModel.fromJSON(to,this.tail,void 0));return this.tail&&!this.nodes.has(to.id)&&ro.update(this.tail,no=>no.link({next:to.id})),this.merge({nodes:ro.finish(),head:this.nodes.size===0?to.id:this.head,tail:to.id})}deleteItems(to){var ro;const no=new Set,oo=this.nodes.mutate();let io=this.head===void 0?void 0:this.nodes.get(this.head),so=io,ao;const lo=this.edgesBySource.mutate(),uo=this.edgesByTarget.mutate();for(;so!==void 0;){const fo=so.next?this.nodes.get(so.next):void 0;!((ro=to.node)===null||ro===void 0)&&ro.call(to,so.inner)?(oo.update(so.id,ho=>ho.link({prev:ao==null?void 0:ao.id}).update(po=>has$1(GraphNodeStatus.Editing)(po.status)?po:Object.assign(Object.assign({},po),{status:GraphNodeStatus.Default}))),ao=so):(oo.delete(so.id),lo.delete(so.id),uo.delete(so.id),no.add(so.id),ao&&oo.update(ao.id,ho=>ho.link({next:so==null?void 0:so.next})),fo&&oo.update(fo.id,ho=>ho.link({prev:ao==null?void 0:ao.id})),so===io&&(io=fo)),so=fo}const co=this.edges.mutate();return this.edges.forEach(fo=>{var ho,po;!no.has(fo.source)&&!no.has(fo.target)&&(!((po=(ho=to.edge)===null||ho===void 0?void 0:ho.call(to,fo))!==null&&po!==void 0)||po)?co.update(fo.id,go=>go.update(updateStatus(replace$1(GraphEdgeStatus.Default)))):(co.delete(fo.id),deleteEdgeByPort(lo,fo.id,fo.source,fo.sourcePortId),deleteEdgeByPort(uo,fo.id,fo.target,fo.targetPortId))}),this.merge({nodes:oo.finish(),edges:co.finish(),head:io==null?void 0:io.id,tail:ao==null?void 0:ao.id,edgesBySource:lo.finish(),edgesByTarget:uo.finish()})}insertEdge(to){if(this.isEdgeExist(to.source,to.sourcePortId,to.target,to.targetPortId)||!this.nodes.has(to.source)||!this.nodes.has(to.target))return this;const ro=setEdgeByPort(this.edgesBySource,to.id,to.source,to.sourcePortId),no=setEdgeByPort(this.edgesByTarget,to.id,to.target,to.targetPortId);return this.merge({nodes:this.nodes.update(to.source,oo=>oo.invalidCache()).update(to.target,oo=>oo.invalidCache()),edges:this.edges.set(to.id,EdgeModel.fromJSON(to)).map(oo=>oo.updateStatus(replace$1(GraphEdgeStatus.Default))),edgesBySource:ro,edgesByTarget:no})}updateEdge(to,ro){return this.merge({edges:this.edges.update(to,no=>no.update(ro))})}deleteEdge(to){const ro=this.edges.get(to);return ro?this.merge({edges:this.edges.delete(to),edgesBySource:deleteEdgeByPort(this.edgesBySource,ro.id,ro.source,ro.sourcePortId),edgesByTarget:deleteEdgeByPort(this.edgesByTarget,ro.id,ro.target,ro.targetPortId)}):this}updateNodesPositionAndSize(to){const ro=new Set,no=this.nodes.mutate(),oo=this.edges.mutate();return to.forEach(io=>{var so,ao;ro.add(io.id),no.update(io.id,lo=>lo.updatePositionAndSize(io)),(so=this.edgesBySource.get(io.id))===null||so===void 0||so.forEach(lo=>{lo.forEach(uo=>{markEdgeDirty(oo,uo)})}),(ao=this.edgesByTarget.get(io.id))===null||ao===void 0||ao.forEach(lo=>{lo.forEach(uo=>{markEdgeDirty(oo,uo)})})}),this.merge({nodes:no.finish(),edges:oo.finish()})}mapNodes(to){return this.merge({nodes:this.nodes.map(to)})}mapEdges(to){return this.merge({edges:this.edges.map(to)})}selectNodes(to,ro){const no=new Set,oo=this.nodes.map(ao=>{const lo=to(ao.inner);return lo&&no.add(ao.id),ao.updatePorts(updateStatus(replace$1(GraphPortStatus.Default))).updateStatus(resetConnectStatus(lo?GraphNodeStatus.Selected:GraphNodeStatus.UnconnectedToSelected))}).mutate();if(no.size===0)this.nodes.forEach(ao=>oo.update(ao.id,lo=>lo.updateStatus(replace$1(GraphNodeStatus.Default))));else if(ro){const ao=oo.get(ro);ao&&(oo.delete(ro),oo.set(ao.id,ao))}const io=ao=>{oo.update(ao,lo=>lo.updateStatus(replace$1(isSelected(lo)?GraphNodeStatus.Selected:GraphNodeStatus.ConnectedToSelected)))},so=no.size?this.edges.map(ao=>{let lo=GraphEdgeStatus.UnconnectedToSelected;return no.has(ao.source)&&(io(ao.target),lo=GraphEdgeStatus.ConnectedToSelected),no.has(ao.target)&&(io(ao.source),lo=GraphEdgeStatus.ConnectedToSelected),ao.updateStatus(replace$1(lo))}):this.edges.map(ao=>ao.updateStatus(replace$1(GraphEdgeStatus.Default)));return this.merge({nodes:oo.finish(),edges:so,selectedNodes:no})}getEdgesBySource(to,ro){var no;return(no=this.edgesBySource.get(to))===null||no===void 0?void 0:no.get(ro)}getEdgesByTarget(to,ro){var no;return(no=this.edgesByTarget.get(to))===null||no===void 0?void 0:no.get(ro)}isPortConnectedAsSource(to,ro){var no,oo;return((oo=(no=this.getEdgesBySource(to,ro))===null||no===void 0?void 0:no.size)!==null&&oo!==void 0?oo:0)>0}isPortConnectedAsTarget(to,ro){var no,oo;return((oo=(no=this.getEdgesByTarget(to,ro))===null||no===void 0?void 0:no.size)!==null&&oo!==void 0?oo:0)>0}shallow(){return this.merge({})}toJSON(){const to=[];let ro=this.head&&this.nodes.get(this.head);for(;ro;)to.push(ro.inner),ro=ro.next&&this.nodes.get(ro.next);const no=Array.from(this.edges.values()).map(oo=>oo.inner);return{nodes:to,edges:no}}isEdgeExist(to,ro,no,oo){const io=this.getEdgesBySource(to,ro),so=this.getEdgesByTarget(no,oo);if(!io||!so)return!1;let ao=!1;return io.forEach(lo=>{so.has(lo)&&(ao=!0)}),ao}merge(to){var ro,no,oo,io,so,ao,lo,uo;return new GraphModel({nodes:(ro=to.nodes)!==null&&ro!==void 0?ro:this.nodes,edges:(no=to.edges)!==null&&no!==void 0?no:this.edges,groups:(oo=to.groups)!==null&&oo!==void 0?oo:this.groups,head:(io=to.head)!==null&&io!==void 0?io:this.head,tail:(so=to.tail)!==null&&so!==void 0?so:this.tail,edgesBySource:(ao=to.edgesBySource)!==null&&ao!==void 0?ao:this.edgesBySource,edgesByTarget:(lo=to.edgesByTarget)!==null&&lo!==void 0?lo:this.edgesByTarget,selectedNodes:(uo=to.selectedNodes)!==null&&uo!==void 0?uo:this.selectedNodes})}}function setEdgeByPort(eo,to,ro,no){return eo.has(ro)?eo.update(ro,oo=>{const io=oo.get(no);return new Map(oo).set(no,(io?new Set(io):new Set).add(to))}):eo.set(ro,new Map([[no,new Set([to])]]))}function setEdgeByPortMutable(eo,to,ro,no){eo.has(ro)?eo.update(ro,oo=>{let io=oo.get(no);return io||(io=new Set,oo.set(no,io)),io.add(to),oo}):eo.set(ro,new Map([[no,new Set([to])]]))}function deleteEdgeByPort(eo,to,ro,no){return eo.has(ro)?eo.update(ro,oo=>{const io=oo.get(no);if(!io)return oo;const so=new Set(io);return so.delete(to),new Map(oo).set(no,so)}):eo}var CanvasMouseMode;(function(eo){eo.Pan="Pan",eo.Select="Select"})(CanvasMouseMode||(CanvasMouseMode={}));var GraphBehavior;(function(eo){eo.Default="default",eo.Dragging="dragging",eo.Panning="panning",eo.MultiSelect="multiSelect",eo.Connecting="connecting",eo.AddingNode="addingNode"})(GraphBehavior||(GraphBehavior={}));function clamp$1(eo,to,ro){return eo>ro?eo:to<ro?to:ro}function isDef(eo){return eo!=null}const debounce=(eo,to,ro)=>{const{instance:no,maxWait:oo}=ro||{};let io=0,so;return(...lo)=>{if(window.clearTimeout(io),isDef(oo)){const uo=Date.now();if(!isDef(so))so=uo;else if(uo-so>=oo){so=void 0,ao(lo);return}}io=window.setTimeout(()=>{ao(lo)},to)};function ao(lo){eo.apply(no,lo)}},emptyArrayInstance=[];function constantEmptyArray(){return emptyArrayInstance}const checkRectIntersect=(eo,to)=>{const ro=eo.maxX<to.minX,no=eo.minX>to.maxX,oo=eo.minY>to.maxY,io=eo.maxY<to.minY;return!(ro||no||oo||io)},isPointInRect=(eo,to)=>{const{minX:ro,minY:no,maxX:oo,maxY:io}=eo,{x:so,y:ao}=to;return so>ro&&so<oo&&ao>no&&ao<io},square=eo=>Math.pow(eo,2),distance=(eo,to,ro,no)=>Math.sqrt(square(ro-eo)+square(no-to)),getLinearFunction=(eo,to,ro,no)=>eo===ro?()=>Number.MAX_SAFE_INTEGER:oo=>(no-to)/(ro-eo)*oo+(to*ro-no*eo)/(ro-eo),shallowEqual=(eo,to)=>{if(!eo||eo.length!==to.length)return!1;for(let ro=0;ro<eo.length;ro+=1)if(!is$2(eo[ro],to[ro]))return!1;return!0};function memoize$1(eo,to){let ro,no;return(...oo)=>{const io=to?Array.isArray(to)?to:to.apply(void 0,oo):oo;return shallowEqual(ro,io)||(ro=io,no=eo.apply(void 0,oo)),no}}var Direction$2;(function(eo){eo[eo.X=0]="X",eo[eo.Y=1]="Y",eo[eo.XY=2]="XY"})(Direction$2||(Direction$2={}));const isViewportComplete=eo=>!!eo.rect,getNodeRect=(eo,to)=>{const{x:ro,y:no}=eo,{width:oo,height:io}=getNodeSize(eo,to);return{x:ro,y:no,width:oo,height:io}},isNodeVisible=(eo,to,ro)=>isRectVisible(getNodeRect(eo,ro),to),isRectVisible=(eo,to)=>{const{x:ro,y:no,width:oo,height:io}=eo;return isPointVisible({x:ro,y:no},to)||isPointVisible({x:ro+oo,y:no},to)||isPointVisible({x:ro+oo,y:no+io},to)||isPointVisible({x:ro,y:no+io},to)},isPointVisible=(eo,to)=>{const{x:ro,y:no}=getContainerClientPoint(eo.x,eo.y,to),{height:oo,width:io}=to.rect;return ro>0&&ro<io&&no>0&&no<oo},getVisibleNodes=(eo,to,ro)=>{const no=[];return eo.forEach(oo=>{isNodeVisible(oo,to,ro)&&no.push(oo.inner)}),no},getRenderedNodes=(eo,to)=>{const ro=[],no=getRenderedArea(to);return eo.forEach(oo=>{isNodeInRenderedArea(oo,no)&&ro.push(oo.inner)}),ro},isNodeInRenderedArea=(eo,to)=>isPointInRect(to,eo),getVisibleArea=eo=>{if(!isViewportComplete(eo))return{minX:0,minY:0,maxX:0,maxY:0};const{rect:to,transformMatrix:ro}=eo,no=0,oo=0,io=to.width,so=to.height,ao=reverseTransformPoint(no,oo,ro),lo=reverseTransformPoint(io,so,ro);return{minX:ao.x,minY:ao.y,maxX:lo.x,maxY:lo.y}},getRenderedArea=eo=>{if(!isViewportComplete(eo))return{minX:0,minY:0,maxX:0,maxY:0};const{rect:to,transformMatrix:ro}=eo,no=0,oo=0,io=to.width,so=to.height,ao=reverseTransformPoint(no-to.width,oo-to.height,ro),lo=reverseTransformPoint(io+to.width,so+to.height,ro);return{minX:ao.x,minY:ao.y,maxX:lo.x,maxY:lo.y}},normalizeSpacing=eo=>eo?typeof eo=="number"?{top:eo,right:eo,bottom:eo,left:eo}:Object.assign({top:0,right:0,bottom:0,left:0},eo):{top:0,right:0,bottom:0,left:0},zoomTo=({scale:eo,anchor:to,direction:ro,limitScale:no})=>oo=>{const io=no(eo)/oo.transformMatrix[0],so=no(eo)/oo.transformMatrix[3],{x:ao,y:lo}=to,uo=ao*(1-io),co=lo*(1-so);let fo;switch(ro){case Direction$2.X:fo=[eo,0,0,oo.transformMatrix[3],oo.transformMatrix[4]*io+uo,oo.transformMatrix[5]];break;case Direction$2.Y:fo=[oo.transformMatrix[0],0,0,eo,oo.transformMatrix[4],oo.transformMatrix[5]*so+co];break;case Direction$2.XY:default:fo=[eo,0,0,eo,oo.transformMatrix[4]*io+uo,oo.transformMatrix[5]*so+co]}return Object.assign(Object.assign({},oo),{transformMatrix:fo})},zoom=({scale:eo,anchor:to,direction:ro,limitScale:no})=>eo===1?identical:oo=>{let io;switch(ro){case Direction$2.X:return zoomTo({anchor:to,direction:ro,limitScale:no,scale:oo.transformMatrix[0]*eo})(oo);case Direction$2.Y:return zoomTo({anchor:to,direction:ro,limitScale:no,scale:oo.transformMatrix[3]*eo})(oo);case Direction$2.XY:default:{const so=no(oo.transformMatrix[0]*eo),ao=no(oo.transformMatrix[3]*eo),lo=so/oo.transformMatrix[0],uo=ao/oo.transformMatrix[3],{x:co,y:fo}=to,ho=co*(1-lo),po=fo*(1-uo);io=[so,0,0,ao,oo.transformMatrix[4]*lo+ho,oo.transformMatrix[5]*uo+po]}}return Object.assign(Object.assign({},oo),{transformMatrix:io})},pan=(eo,to)=>eo===0&&to===0?identical:ro=>Object.assign(Object.assign({},ro),{transformMatrix:[ro.transformMatrix[0],ro.transformMatrix[1],ro.transformMatrix[2],ro.transformMatrix[3],ro.transformMatrix[4]+eo,ro.transformMatrix[5]+to]}),minimapPan=(eo,to)=>eo===0&&to===0?identical:ro=>{const[no,oo,io,so]=ro.transformMatrix;return Object.assign(Object.assign({},ro),{transformMatrix:[no,oo,io,so,ro.transformMatrix[4]+no*eo+oo*to,ro.transformMatrix[5]+io*eo+so*to]})},getContentArea$1=(eo,to,ro)=>{let no=1/0,oo=1/0,io=1/0,so=1/0,ao=-1/0,lo=-1/0;return(ro===void 0?ho=>eo.nodes.forEach(ho):ho=>ro==null?void 0:ro.forEach(po=>{const go=eo.nodes.get(po);go&&ho(go)}))(ho=>{const{width:po,height:go}=getNodeSize(ho,to);ho.x<io&&(io=ho.x),ho.y<so&&(so=ho.y),ho.x+po>ao&&(ao=ho.x+po),ho.y+go>lo&&(lo=ho.y+go),po<no&&(no=po),go<oo&&(oo=go)}),{minNodeWidth:no,minNodeHeight:oo,minNodeX:io,minNodeY:so,maxNodeX:ao,maxNodeY:lo}},normalizeNodeVisibleMinMax=({nodeMinVisibleSize:eo,nodeMaxVisibleSize:to})=>{let{width:ro,height:no}=eo,{width:oo,height:io}=to;if(ro>oo){const so=ro;ro=oo,oo=so}if(no>io){const so=no;no=io,io=so}return{nodeMinVisibleWidth:ro,nodeMinVisibleHeight:no,nodeMaxVisibleWidth:oo,nodeMaxVisibleHeight:io}},getScaleRange=(eo,{width:to,height:ro})=>{const{nodeMinVisibleWidth:no,nodeMinVisibleHeight:oo,nodeMaxVisibleWidth:io,nodeMaxVisibleHeight:so}=normalizeNodeVisibleMinMax(eo);let ao=0,lo=0,uo=1/0,co=1/0;return to&&(ao=no/to,uo=io/to),ro&&(lo=oo/ro,co=so/ro),{minScaleX:ao,minScaleY:lo,maxScaleX:uo,maxScaleY:co}},getZoomFitMatrix=eo=>{const{data:to,graphConfig:ro,disablePan:no,direction:oo,rect:io}=eo,{nodes:so}=to;if(so.size===0)return[1,0,0,1,0,0];const{minNodeWidth:ao,minNodeHeight:lo,minNodeX:uo,minNodeY:co,maxNodeX:fo,maxNodeY:ho}=getContentArea$1(to,ro),{minScaleX:po,minScaleY:go,maxScaleX:vo,maxScaleY:bo}=getScaleRange(eo,{width:ao,height:lo}),xo=normalizeSpacing(eo.spacing),{width:_o,height:Eo}=io,So=_o/(fo-uo+xo.left+xo.right),To=Eo/(ho-co+xo.top+xo.bottom),wo=oo===Direction$2.Y?Math.min(Math.max(po,go,To),vo,bo):Math.min(Math.max(po,go,Math.min(So,To)),bo,bo),Co=oo===Direction$2.XY?Math.min(Math.max(po,So),vo):wo,Oo=oo===Direction$2.XY?Math.min(Math.max(go,To),bo):wo;if(no)return[Co,0,0,Oo,0,0];const Ao=-Co*(uo-xo.left),Ro=-Oo*(co-xo.top);if(getVisibleNodes(to.nodes,{rect:io,transformMatrix:[Co,0,0,Oo,Ao,Ro]},ro).length>0)return[Co,0,0,Oo,Ao,Ro];let Mo=to.nodes.first();return Mo&&to.nodes.forEach(Do=>{Mo.y>Do.y&&(Mo=Do)}),[Co,0,0,Oo,-Co*(Mo.x-xo.left),-Oo*(Mo.y-xo.top)]},focusArea=(eo,to,ro,no,oo)=>{const io=ro-eo,so=no-to,ao=Math.min(oo.rect.width/io,oo.rect.height/so),lo=-ao*(eo+io/2)+oo.rect.width/2,uo=-ao*(to+so/2)+oo.rect.height/2;return Object.assign(Object.assign({},oo),{transformMatrix:[ao,0,0,ao,lo,uo]})};function getContainerCenter(eo){const to=eo.current;if(!to)return;const ro=to.width/2,no=to.height/2;return{x:ro,y:no}}function getRelativePoint(eo,to){const ro=to.clientX-eo.left,no=to.clientY-eo.top;return{x:ro,y:no}}const scrollIntoView$3=(eo,to,ro,no,oo)=>{if(!ro)return identical;const{width:io,height:so}=ro;return!(eo<0||eo>io||to<0||to>so)&&!no?identical:lo=>{const uo=oo?oo.x-eo:io/2-eo,co=oo?oo.y-to:so/2-to;return Object.assign(Object.assign({},lo),{transformMatrix:[lo.transformMatrix[0],lo.transformMatrix[1],lo.transformMatrix[2],lo.transformMatrix[3],lo.transformMatrix[4]+uo,lo.transformMatrix[5]+co]})}},getScaleLimit=(eo,to)=>{const{minNodeWidth:ro,minNodeHeight:no}=getContentArea$1(eo,to.graphConfig),{minScaleX:oo,minScaleY:io}=getScaleRange(to,{width:ro,height:no});return Math.max(oo,io)},getContentArea=memoize$1(getContentArea$1),getOffsetLimit=({data:eo,graphConfig:to,rect:ro,transformMatrix:no,canvasBoundaryPadding:oo,groupPadding:io})=>{var so,ao,lo,uo;const co=getContentArea(eo,to),fo=getClientDeltaByPointDelta(co.minNodeX-((io==null?void 0:io.left)||0),co.minNodeY-((io==null?void 0:io.top)||0),no);fo.x-=(so=oo==null?void 0:oo.left)!==null&&so!==void 0?so:0,fo.y-=(ao=oo==null?void 0:oo.top)!==null&&ao!==void 0?ao:0;const ho=getClientDeltaByPointDelta(co.maxNodeX+((io==null?void 0:io.right)||0),co.maxNodeY+((io==null?void 0:io.bottom)||0),no);ho.x+=(lo=oo==null?void 0:oo.right)!==null&&lo!==void 0?lo:0,ho.y+=(uo=oo==null?void 0:oo.bottom)!==null&&uo!==void 0?uo:0;let po=-fo.x||0,go=-fo.y||0,vo=ro.width-ho.x||0,bo=ro.height-ho.y||0;if(vo<po){const xo=vo;vo=po,po=xo}if(bo<go){const xo=bo;bo=go,go=xo}return{minX:po,minY:go,maxX:vo,maxY:bo}},pushHistory=(eo,to,ro=identical)=>({present:to,past:{next:eo.past,value:ro(eo.present)},future:null}),undo$1=eo=>eo.past?{present:eo.past.value,past:eo.past.next,future:{next:eo.future,value:eo.present}}:eo,redo$1=eo=>eo.future?{present:eo.future.value,past:{next:eo.past,value:eo.present},future:eo.future.next}:eo,resetUndoStack=eo=>({present:eo,future:null,past:null}),isWithinThreshold=(eo,to,ro)=>Math.abs(eo)<ro&&Math.abs(to)<ro,EMPTY_TRANSFORM_MATRIX=[1,0,0,1,0,0],EMPTY_VIEW_PORT={rect:void 0,transformMatrix:EMPTY_TRANSFORM_MATRIX},EMPTY_GAP={top:0,right:0,bottom:0,left:0},DEFAULT_NODE_MIN_VISIBLE_SIZE={width:NODE_MIN_VISIBLE_LENGTH,height:NODE_MIN_VISIBLE_LENGTH},DEFAULT_NODE_MAX_VISIBLE_SIZE={width:NODE_MAX_VISIBLE_LENGTH,height:NODE_MAX_VISIBLE_LENGTH},DEFAULT_GRAPH_SETTINGS={features:defaultFeatures,graphConfig:GraphConfigBuilder.default().build(),canvasBoundaryPadding:EMPTY_GAP,nodeMinVisibleSize:DEFAULT_NODE_MIN_VISIBLE_SIZE,nodeMaxVisibleSize:DEFAULT_NODE_MAX_VISIBLE_SIZE},EMPTY_GRAPH_STATE=createGraphState({});function createGraphState(eo){const{data:to,transformMatrix:ro,settings:no}=eo;return{settings:Object.assign(Object.assign({},DEFAULT_GRAPH_SETTINGS),no),data:resetUndoStack(to??GraphModel.empty()),viewport:{rect:void 0,transformMatrix:ro??EMPTY_TRANSFORM_MATRIX},behavior:GraphBehavior.Default,dummyNodes:emptyDummyNodes(),alignmentLines:[],activeKeys:new Set,selectBoxPosition:emptySelectBoxPosition(),connectState:void 0}}const ViewportContext=reactExports.createContext(EMPTY_VIEW_PORT);function warnGraphStateContext(){Debug.warn("Missing GraphStateContext, GraphStateContext must be used as child of GraphStateStore")}const defaultGraphStateContext={get state(){return warnGraphStateContext(),EMPTY_GRAPH_STATE},dispatch:()=>{warnGraphStateContext()}},EMPTY_CONNECT_STATE={sourceNode:void 0,sourcePort:void 0,targetNode:void 0,targetPort:void 0,movingPoint:{x:0,y:0}},GraphValueContext=reactExports.createContext(new Proxy(GraphModel.empty(),{get:(eo,to)=>(console.warn("Default graph data value is being used. Please check if you forget rendering Graph component"),Reflect.get(eo,to))})),GraphStateContext=reactExports.createContext(defaultGraphStateContext),SlotsContext=reactExports.createContext({});class EventChannel{constructor(){this.listenersRef=reactExports.createRef(),this.externalHandlerRef=reactExports.createRef(),this.queue=[],this.working=!1}trigger(to){this.working?this.queue.push(to):(this.working=!0,reactDomExports.unstable_batchedUpdates(()=>{this.callHandlers(to);for(let ro=0;ro<this.queue.length;ro+=1){const no=this.queue[ro];this.callHandlers(no)}this.queue=[]}),this.working=!1)}batch(to){if(this.working)this.queue.push(...to);else{const ro=to[0];if(!ro)return;this.queue.push(...to.slice(1)),this.trigger(ro)}}callHandlers(to){var ro,no,oo,io;(no=(ro=this.listenersRef).current)===null||no===void 0||no.call(ro,to),to.intercepted||(io=(oo=this.externalHandlerRef).current)===null||io===void 0||io.call(oo,to)}}class GraphController{constructor(to,ro){this.pointerId=null,this.canvasClickOnce=!1,this.nodeClickOnce=null,this.eventChannel=new EventChannel,this.behavior=GraphBehavior.Default,this.dispatch=(no,oo)=>{this.dispatchDelegate(no,oo)},this.state=to,this.UNSAFE_latestState=to,this.dispatchDelegate=ro}setMouseClientPosition(to){this.mouseClientPoint=to}unsetMouseClientPosition(){this.mouseClientPoint=void 0}getMouseClientPosition(){return this.mouseClientPoint}getEnabledFeatures(){return this.state.settings.features}getBehavior(){return this.behavior}setBehavior(to){this.behavior=to}getData(){return this.state.data.present}getGlobalEventTarget(){var to,ro;return(ro=(to=this.getGlobalEventTargetDelegate)===null||to===void 0?void 0:to.call(this))!==null&&ro!==void 0?ro:window}}function useConst(eo){const to=reactExports.useRef();return to.current===void 0&&(to.current=eo()),to.current}const noop$2=()=>{};class ErrorBoundary extends reactExports.Component{constructor(to){super(to),this.state={hasError:!1}}static getDerivedStateFromError(to){return{hasError:!0,error:to}}componentDidCatch(to,ro){console.error(to),this.setState({error:to,errorInfo:ro})}render(){var to,ro;if(!this.state.hasError)return this.props.children;if(this.props.renderOnError)return(to=this.props.renderOnError(this.state.error,this.state.errorInfo,this.props.children))!==null&&to!==void 0?to:null;const no=this.state.errorInfo?(ro=this.state.errorInfo.componentStack)===null||ro===void 0?void 0:ro.split(`
+`):[];return jsxRuntimeExports.jsxs("div",Object.assign({style:{color:"red"}},{children:[jsxRuntimeExports.jsx("h1",{children:"Something went wrong."}),jsxRuntimeExports.jsx("p",{children:`Error: ${this.state.error}`}),jsxRuntimeExports.jsx("p",{children:`ErrorInfo: ${JSON.stringify(this.state.errorInfo)}`}),jsxRuntimeExports.jsx("h2",{children:"Component Stack"}),(no??[]).map((oo,io)=>jsxRuntimeExports.jsx("p",{children:oo},io))]}))}}const EMPTY_CONNECT_CONTEXT={sourceNode:void 0,sourcePort:void 0,targetNode:void 0,targetPort:void 0},ConnectingStateContext=reactExports.createContext(EMPTY_CONNECT_CONTEXT);ConnectingStateContext.displayName="ConnectingStateContext";const ConnectingState=({children:eo,data:to,connectState:ro})=>{let no,oo,io,so;ro&&(no=to.nodes.get(ro.sourceNode),oo=no==null?void 0:no.getPort(ro.sourcePort),io=ro.targetNode?to.nodes.get(ro.targetNode):void 0,so=ro.targetPort?io==null?void 0:io.getPort(ro.targetPort):void 0);const ao=reactExports.useMemo(()=>({sourceNode:no,sourcePort:oo,targetNode:io,targetPort:so}),[no,oo,io,so]);return jsxRuntimeExports.jsx(ConnectingStateContext.Provider,Object.assign({value:ao},{children:eo}))};ConnectingState.displayName="ConnectingState";const AlignmentLinesContext=reactExports.createContext([]),GraphControllerContext=reactExports.createContext(new GraphController(EMPTY_GRAPH_STATE,noop$2));function GraphStateStore(eo){const{graphController:to,state:ro,dispatch:no,children:oo}=eo,io=reactExports.useMemo(()=>({state:ro,dispatch:no}),[ro,no]);return jsxRuntimeExports.jsx(GraphConfigContext.Provider,Object.assign({value:ro.settings.graphConfig},{children:jsxRuntimeExports.jsx(GraphControllerContext.Provider,Object.assign({value:to},{children:jsxRuntimeExports.jsx(ConnectingState,Object.assign({data:ro.data.present,connectState:ro.connectState},{children:jsxRuntimeExports.jsx(GraphStateContext.Provider,Object.assign({value:io},{children:jsxRuntimeExports.jsx(ViewportContext.Provider,Object.assign({value:ro.viewport},{children:jsxRuntimeExports.jsx(GraphValueContext.Provider,Object.assign({value:ro.data.present},{children:jsxRuntimeExports.jsx(AlignmentLinesContext.Provider,Object.assign({value:ro.alignmentLines},{children:oo}))}))}))}))}))}))}))}const ReactDagEditor=eo=>{var to;reactExports.useEffect(()=>{eo.handleWarning&&(Debug.warn=eo.handleWarning)},[]);const ro=(to=eo.handleError)===null||to===void 0?void 0:to.bind(null),{state:no,dispatch:oo,getGlobalEventTarget:io}=eo,so=useConst(()=>new GraphController(no,oo));return so.UNSAFE_latestState=no,reactExports.useLayoutEffect(()=>{so.state=no,so.dispatchDelegate=oo,so.getGlobalEventTargetDelegate=io},[oo,io,so,no]),reactExports.useEffect(()=>()=>{so.dispatchDelegate=noop$2},[so]),jsxRuntimeExports.jsx(ErrorBoundary,Object.assign({renderOnError:ro},{children:jsxRuntimeExports.jsx(SlotsContext.Provider,Object.assign({value:eo},{children:jsxRuntimeExports.jsx(GraphStateStore,Object.assign({state:no,dispatch:oo,graphController:so},{children:jsxRuntimeExports.jsx(ContextMenuConfigContext.Provider,Object.assign({value:useConst(()=>new ContextMenuConfig)},{children:jsxRuntimeExports.jsx("div",Object.assign({style:eo.style,className:eo.className},{children:eo.children}))}))}))}))}))},useContextMenuConfigContext=()=>reactExports.useContext(ContextMenuConfigContext);var GraphNodeEvent;(function(eo){eo.Click="[Node]Click",eo.DoubleClick="[Node]DoubleClick",eo.MouseDown="[Node]MouseDown",eo.MouseUp="[Node]MouseUp",eo.MouseEnter="[Node]MouseEnter",eo.MouseLeave="[Node]MouseLeave",eo.MouseOver="[Node]MouseOver",eo.MouseOut="[Node]MouseOut",eo.MouseMove="[Node]MouseMove",eo.ContextMenu="[Node]ContextMenu",eo.Drag="[Node]Drag",eo.DragStart="[Node]DragStart",eo.DragEnd="[Node]DragEnd",eo.PointerDown="[Node]PointerDown",eo.PointerEnter="[Node]PointerEnter",eo.PointerMove="[Node]PointerMove",eo.PointerLeave="[Node]PointerLeave",eo.PointerUp="[Node]PointerUp",eo.Resizing="[Node]Resizing",eo.ResizingStart="[Node]ResizingStart",eo.ResizingEnd="[Node]ResizingEnd",eo.KeyDown="[Node]KeyDown",eo.Select="[Node]Select",eo.SelectAll="[Node]SelectAll",eo.Centralize="[Node]Centralize",eo.Locate="[Node]Locate",eo.Add="[Node]Add"})(GraphNodeEvent||(GraphNodeEvent={}));var GraphEdgeEvent;(function(eo){eo.Click="[Edge]Click",eo.DoubleClick="[Edge]DoubleClick",eo.MouseEnter="[Edge]MouseEnter",eo.MouseLeave="[Edge]MouseLeave",eo.MouseOver="[Edge]MouseOver",eo.MouseOut="[Edge]MouseOut",eo.MouseMove="[Edge]MouseMove",eo.MouseDown="[Edge]MouseDown",eo.MouseUp="[Edge]MouseUp",eo.ContextMenu="[Edge]ContextMenu",eo.ConnectStart="[Edge]ConnectStart",eo.ConnectMove="[Edge]ConnectMove",eo.ConnectEnd="[Edge]ConnectEnd",eo.ConnectNavigate="[Edge]ConnectNavigate",eo.Add="[Edge]Add"})(GraphEdgeEvent||(GraphEdgeEvent={}));var GraphPortEvent;(function(eo){eo.Click="[Port]Click",eo.DoubleClick="[Port]DoubleClick",eo.MouseDown="[Port]MouseDown",eo.PointerDown="[Port]PointerDown",eo.PointerUp="[Port]PointerUp",eo.PointerEnter="[Port]PointerEnter",eo.PointerLeave="[Port]PointerLeave",eo.MouseUp="[Port]MouseUp",eo.MouseEnter="[Port]MouseEnter",eo.MouseLeave="[Port]MouseLeave",eo.MouseOver="[Port]MouseOver",eo.MouseOut="[Port]MouseOut",eo.MouseMove="[Port]MouseMove",eo.ContextMenu="[Port]ContextMenu",eo.KeyDown="[Port]KeyDown",eo.Focus="[Port]Focus",eo.Blur="[Port]Blur"})(GraphPortEvent||(GraphPortEvent={}));var GraphCanvasEvent;(function(eo){eo.Click="[Canvas]Click",eo.DoubleClick="[Canvas]DoubleClick",eo.MouseDown="[Canvas]MouseDown",eo.MouseUp="[Canvas]MouseUp",eo.MouseEnter="[Canvas]MouseEnter",eo.MouseLeave="[Canvas]MouseLeave",eo.MouseOver="[Canvas]MouseOver",eo.MouseOut="[Canvas]MouseOut",eo.MouseMove="[Canvas]MouseMove",eo.ContextMenu="[Canvas]ContextMenu",eo.DragStart="[Canvas]DragStart",eo.Drag="[Canvas]Drag",eo.DragEnd="[Canvas]DragEnd",eo.Pan="[Canvas]Pan",eo.Focus="[Canvas]Focus",eo.Blur="[Canvas]Blur",eo.Zoom="[Canvas]Zoom",eo.Pinch="[Canvas]Pinch",eo.KeyDown="[Canvas]KeyDown",eo.KeyUp="[Canvas]KeyUp",eo.SelectStart="[Canvas]SelectStart",eo.SelectMove="[Canvas]SelectMove",eo.SelectEnd="[Canvas]SelectEnd",eo.UpdateNodeSelectionBySelectBox="[Canvas]UpdateNodeSelectionBySelectBox",eo.MouseWheelScroll="[Canvas]MouseWheelScroll",eo.DraggingNodeFromItemPanel="[Canvas]DraggingNodeFromItemPanel",eo.DraggingNodeFromItemPanelStart="[Canvas]DraggingNodeFromItemPanelStart",eo.DraggingNodeFromItemPanelEnd="[Canvas]DraggingNodeFromItemPanelEnd",eo.ViewportResize="[Canvas]ViewportResize",eo.Navigate="[Canvas]Navigate",eo.VirtualizationRecalculated="[Canvas]VirtualizationRecalculated",eo.ResetSelection="[Canvas]ResetSelection",eo.Copy="[Canvas]Copy",eo.Paste="[Canvas]Paste",eo.Delete="[Canvas]Delete",eo.Undo="[Canvas]Undo",eo.Redo="[Canvas]Redo",eo.ScrollIntoView="[Canvas]ScrollIntoView",eo.ResetUndoStack="[Canvas]ResetUndoStack",eo.ResetViewport="[Canvas]ResetViewport",eo.ZoomTo="[Canvas]ZoomTo",eo.ZoomToFit="[Canvas]ZoomToFit",eo.SetData="[Canvas]SetData",eo.UpdateData="[Canvas]UpdateData",eo.ScrollTo="[Canvas]ScrollTo",eo.UpdateSettings="[Canvas]UpdateSettings"})(GraphCanvasEvent||(GraphCanvasEvent={}));var GraphScrollBarEvent;(function(eo){eo.ScrollStart="[ScrollBar]ScrollStart",eo.Scroll="[ScrollBar]Scroll",eo.ScrollEnd="[ScrollBar]ScrollEnd"})(GraphScrollBarEvent||(GraphScrollBarEvent={}));var GraphMinimapEvent;(function(eo){eo.PanStart="[Minimap]PanStart",eo.Pan="[Minimap]Pan",eo.PanEnd="[Minimap]PanEnd",eo.Click="[Minimap]Click"})(GraphMinimapEvent||(GraphMinimapEvent={}));var GraphContextMenuEvent;(function(eo){eo.Open="[ContextMenu]Open",eo.Close="[ContextMenu]Close"})(GraphContextMenuEvent||(GraphContextMenuEvent={}));function getScrollLineHeight(){try{const eo=document.createElement("iframe");eo.src="#",document.body.appendChild(eo);const{contentDocument:to}=eo;if(!to)throw new Error("Fail to create iframe");to.documentElement.innerHTML=purify.sanitize("<span>a</span>",{RETURN_TRUSTED_TYPE:!0});const no=to.body.firstElementChild.offsetHeight;return document.body.removeChild(eo),no}catch(eo){return Debug.error("failed to calculate scroll line height",eo),16}}const scrollLineHeight=getScrollLineHeight(),normalizeWheelDelta=typeof WheelEvent=="function"?(eo,to)=>{switch(eo){case WheelEvent.DOM_DELTA_PIXEL:return to;case WheelEvent.DOM_DELTA_LINE:return to*scrollLineHeight;case WheelEvent.DOM_DELTA_PAGE:return to*window.innerHeight;default:return to}}:(eo,to)=>to,EMPTY_RECT={height:0,width:0,x:0,y:0,bottom:0,left:0,right:0,top:0,toJSON(){return this}},VirtualizationContext=reactExports.createContext({viewport:{rect:EMPTY_RECT,transformMatrix:EMPTY_TRANSFORM_MATRIX},renderedArea:{minX:0,minY:0,maxX:0,maxY:0},visibleArea:{minX:0,minY:0,maxX:0,maxY:0},renderedNodes:new Set,renderedEdges:new Set,timestamp:0});function useGraphConfig(){return reactExports.useContext(GraphConfigContext)}function useGraphController(){return reactExports.useContext(GraphControllerContext)}function useAlignmentLines(){return reactExports.useContext(AlignmentLinesContext)}function useConnectingState(){return reactExports.useContext(ConnectingStateContext)}function useVirtualization(){return reactExports.useContext(VirtualizationContext)}let shouldRespondWheel=!1;const useWheelHandler=eo=>{const{containerRef:to,svgRef:ro,rectRef:no,zoomSensitivity:oo,scrollSensitivity:io,isHorizontalScrollDisabled:so,isVerticalScrollDisabled:ao,isCtrlKeyZoomEnable:lo,eventChannel:uo,graphConfig:co,dispatch:fo}=eo,po=useGraphController().getGlobalEventTarget();reactExports.useLayoutEffect(()=>{const go=ro.current,vo=to.current;if(!go||!vo)return noop$2;const bo=Eo=>{const So=no.current;if(!So||!shouldRespondWheel)return;if(Eo.preventDefault(),Eo.ctrlKey&&lo){const Oo=(normalizeWheelDelta(Eo.deltaMode,Eo.deltaY)>0?-oo:oo)+1;uo.trigger({type:GraphCanvasEvent.Zoom,rawEvent:Eo,scale:Oo,anchor:getRelativePoint(So,Eo)});return}const To=so?0:-normalizeWheelDelta(Eo.deltaMode,Eo.shiftKey?Eo.deltaY:Eo.deltaX)*io,wo=ao||Eo.shiftKey?0:-normalizeWheelDelta(Eo.deltaMode,Eo.deltaY)*io;uo.trigger({type:GraphCanvasEvent.MouseWheelScroll,dx:To,dy:wo,rawEvent:Eo})},xo=()=>{shouldRespondWheel=!0};vo.addEventListener("mouseenter",xo);const _o=()=>{shouldRespondWheel=!1};return vo.addEventListener("mouseleave",_o),po.addEventListener("wheel",bo,{passive:!1}),()=>{po.removeEventListener("wheel",bo),vo.removeEventListener("mouseenter",xo),vo.removeEventListener("mouseleave",_o)}},[ro,no,oo,io,fo,so,ao,co,uo,lo])};function nextFrame(eo){requestAnimationFrame(()=>{requestAnimationFrame(eo)})}const LIMIT=20,isRectChanged=(eo,to)=>eo===to?!1:!eo||!to?!0:eo.top!==to.top||eo.left!==to.left||eo.width!==to.width||eo.height!==to.height,useUpdateViewportCallback=(eo,to,ro)=>reactExports.useCallback((no=!1)=>{var oo;const io=(oo=to.current)===null||oo===void 0?void 0:oo.getBoundingClientRect();(no||isRectChanged(eo.current,io))&&(eo.current=io,ro.trigger({type:GraphCanvasEvent.ViewportResize,viewportRect:io}))},[ro,eo,to]),useContainerRect=(eo,to,ro,no)=>{reactExports.useLayoutEffect(()=>{eo.viewport.rect||no(!0)}),reactExports.useEffect(()=>{const oo=ro.current;if(!oo)return noop$2;const io=debounce(()=>nextFrame(()=>{no()}),LIMIT);if(typeof ResizeObserver<"u"){const so=new ResizeObserver(io);return so.observe(oo),()=>{so.unobserve(oo),so.disconnect()}}return window.addEventListener("resize",io),()=>{window.removeEventListener("resize",io)}},[ro,no]),reactExports.useEffect(()=>{const oo=debounce(so=>{const ao=to.current;!ao||!(so.target instanceof Element)||!so.target.contains(ao)||no()},LIMIT),io={capture:!0,passive:!0};return document.body.addEventListener("scroll",oo,io),()=>{document.body.removeEventListener("scroll",oo,io)}},[to,no])};function makeScheduledCallback(eo,to,ro){let no=!1,oo,io;const so=(...ao)=>{oo=ao,no||(no=!0,io=to(()=>{no=!1,reactDomExports.unstable_batchedUpdates(()=>{eo.apply(null,oo)})}))};return so.cancel=()=>{ro(io)},so}const animationFramed=eo=>makeScheduledCallback(eo,requestAnimationFrame,cancelAnimationFrame),useRenderedArea=(eo,to)=>reactExports.useMemo(()=>to?getRenderedArea(eo):{minX:-Number.MAX_SAFE_INTEGER,minY:-Number.MAX_SAFE_INTEGER,maxX:Number.MAX_SAFE_INTEGER,maxY:Number.MAX_SAFE_INTEGER},[eo,to]);class DragController{constructor(to,ro){this.onMove=noop$2,this.onEnd=noop$2,this.lastEvent=null,this.startX=0,this.startY=0,this.prevClientX=0,this.prevClientY=0,this.onMouseUp=no=>{this.lastEvent=no,this.doOnMouseUp(no),this.lastEvent=null},this.onMouseMove=no=>{this.lastEvent=no,no.preventDefault(),this.mouseMove(no)},this.eventProvider=to,this.getPositionFromEvent=ro,this.mouseMove=animationFramed(no=>{this.doOnMouseMove(no)})}start(to){this.lastEvent=to;const{x:ro,y:no}=this.getPositionFromEvent(to);this.startX=ro,this.startY=no,this.prevClientX=ro,this.prevClientY=no,this.eventProvider.on("move",this.onMouseMove),this.eventProvider.on("end",this.onMouseUp)}stop(){this.mouseMove.cancel(),this.eventProvider.off("move",this.onMouseMove),this.eventProvider.off("end",this.onMouseUp)}getDelta(to,ro){const no=to-this.prevClientX,oo=ro-this.prevClientY;return this.prevClientX=to,this.prevClientY=ro,{x:no,y:oo}}getTotalDelta(to){const ro=to.clientX-this.startX,no=to.clientY-this.startY;return{x:ro,y:no}}doOnMouseMove(to){const{x:ro,y:no}=this.getPositionFromEvent(to),{x:oo,y:io}=this.getDelta(ro,no),{x:so,y:ao}=this.getTotalDelta(to);this.onMove({clientX:ro,clientY:no,dx:oo,dy:io,totalDX:so,totalDY:ao,e:to})}doOnMouseUp(to){to.preventDefault();const{x:ro,y:no}=this.getTotalDelta(to);this.onEnd({totalDX:ro,totalDY:no,e:to}),this.stop()}}function defaultGetPositionFromEvent(eo){return{x:eo.clientX,y:eo.clientY}}class DragNodeController extends DragController{constructor(to,ro,no){super(to,ro),this.rectRef=no}doOnMouseMove(to){super.doOnMouseMove(to);const ro=this.rectRef.current;!ro||!this.lastEvent||(to.clientX<ro.left||to.clientX>ro.right||to.clientY<ro.top||to.clientY>ro.bottom)&&this.mouseMove(this.lastEvent)}}class TouchController{constructor(to){this.eventHandlers={onPointerDown:(ro,...no)=>{ro.pointerType==="touch"&&(ro.preventDefault(),this.pointers=new Map(this.pointers),this.pointers.set(ro.pointerId,ro.nativeEvent),this.updateHandler(ro.nativeEvent,...no))},onPointerMove:(ro,...no)=>{ro.pointerType==="touch"&&(ro.preventDefault(),this.pointers.set(ro.pointerId,ro.nativeEvent),this.onMove(ro.nativeEvent,...no))},onPointerUp:(ro,...no)=>{ro.pointerType==="touch"&&(ro.preventDefault(),this.pointers=new Map(this.pointers),this.pointers.delete(ro.pointerId),this.updateHandler(ro.nativeEvent,...no))}},this.pointers=new Map,this.onMove=animationFramed((ro,...no)=>{var oo;(oo=this.currentHandler)===null||oo===void 0||oo.onMove(this.pointers,ro,...no)}),this.handlers=to}updateHandler(to,...ro){var no,oo;const io=this.handlers.get(this.pointers.size);io!==this.currentHandler&&((no=this.currentHandler)===null||no===void 0||no.onEnd(to,...ro),this.currentHandler=io,(oo=this.currentHandler)===null||oo===void 0||oo.onStart(this.pointers,to,...ro))}}class TwoFingerHandler{constructor(to,ro){this.prevDistance=0,this.rectRef=to,this.eventChannel=ro}onEnd(){}onMove(to,ro){const no=Array.from(to.values()),oo=distance(no[0].clientX,no[0].clientY,no[1].clientX,no[1].clientY),{prevEvents:io,prevDistance:so}=this;if(this.prevDistance=oo,this.prevEvents=no,!io)return;const ao=no[0].clientX-io[0].clientX,lo=no[1].clientX-io[1].clientX,uo=no[0].clientY-io[0].clientY,co=no[1].clientY-io[1].clientY,fo=(ao+lo)/2,ho=(uo+co)/2,po=(oo-so)/so+1,go=getContainerCenter(this.rectRef);go&&this.eventChannel.trigger({type:GraphCanvasEvent.Pinch,rawEvent:ro,dx:fo,dy:ho,scale:po,anchor:go})}onStart(to){if(to.size!==2)throw new Error(`Unexpected touch event with ${to.size} touches`);this.prevEvents=Array.from(to.values()),this.prevDistance=distance(this.prevEvents[0].clientX,this.prevEvents[0].clientY,this.prevEvents[1].clientX,this.prevEvents[1].clientY)}}const useGraphTouchHandler=(eo,to)=>reactExports.useMemo(()=>new TouchController(new Map().set(2,new TwoFingerHandler(eo,to))).eventHandlers,[eo,to]),isSafari=getBrowser()===BrowserType.Safari;let prevScale=0;function useSafariScale({rectRef:eo,svgRef:to,eventChannel:ro}){reactExports.useEffect(()=>{const no=to.current;if(!isSafari||!no||isMobile())return()=>{};const oo=animationFramed(lo=>{const{scale:uo}=lo,co=uo/prevScale;prevScale=uo,ro.trigger({type:GraphCanvasEvent.Zoom,rawEvent:lo,scale:co,anchor:getContainerCenter(eo)})}),io=lo=>{lo.stopPropagation(),lo.preventDefault(),prevScale=lo.scale,ro.trigger({type:GraphCanvasEvent.Zoom,rawEvent:lo,scale:lo.scale,anchor:getContainerCenter(eo)})},so=lo=>{lo.stopPropagation(),lo.preventDefault(),oo(lo)},ao=lo=>{lo.stopPropagation(),lo.preventDefault(),oo(lo)};return no.addEventListener("gesturestart",io),no.addEventListener("gesturechange",so),no.addEventListener("gestureend",ao),()=>{no.removeEventListener("gesturestart",io),no.removeEventListener("gesturechange",so),no.removeEventListener("gestureend",ao)}},[])}function useDeferredValue(eo,{timeout:to}){const[ro,no]=reactExports.useState(eo);return reactExports.useEffect(()=>{const oo=setTimeout(()=>{no(eo)},to);return()=>{clearTimeout(oo)}},[eo,to]),ro}const useSelectBox=(eo,to)=>{const ro=useDeferredValue(to,{timeout:100});reactExports.useEffect(()=>{eo({type:GraphCanvasEvent.UpdateNodeSelectionBySelectBox})},[ro])},useGraphState=()=>reactExports.useContext(GraphStateContext),handleBehaviorChange=(eo,to)=>{switch(to.type){case GraphNodeEvent.DragStart:return GraphBehavior.Dragging;case GraphEdgeEvent.ConnectStart:return GraphBehavior.Connecting;case GraphCanvasEvent.SelectStart:return GraphBehavior.MultiSelect;case GraphCanvasEvent.DragStart:return GraphBehavior.Panning;case GraphCanvasEvent.DraggingNodeFromItemPanelStart:return GraphBehavior.AddingNode;case GraphNodeEvent.DragEnd:case GraphEdgeEvent.ConnectEnd:case GraphCanvasEvent.SelectEnd:case GraphCanvasEvent.DragEnd:case GraphCanvasEvent.DraggingNodeFromItemPanelEnd:return GraphBehavior.Default;default:return eo}},behaviorReducer=(eo,to)=>{const ro=handleBehaviorChange(eo.behavior,to);return ro===eo.behavior?eo:Object.assign(Object.assign({},eo),{behavior:ro})};function __rest(eo,to){var ro={};for(var no in eo)Object.prototype.hasOwnProperty.call(eo,no)&&to.indexOf(no)<0&&(ro[no]=eo[no]);if(eo!=null&&typeof Object.getOwnPropertySymbols=="function")for(var oo=0,no=Object.getOwnPropertySymbols(eo);oo<no.length;oo++)to.indexOf(no[oo])<0&&Object.prototype.propertyIsEnumerable.call(eo,no[oo])&&(ro[no[oo]]=eo[no[oo]]);return ro}const canvasReducer=(eo,to)=>{switch(to.type){case GraphCanvasEvent.Paste:{const{position:ro}=to;if(!isViewportComplete(eo.viewport))return eo;const{rect:no}=eo.viewport;let oo=to.data.nodes;if(ro&&no){const so=getRealPointFromClientPoint(ro.x,ro.y,eo.viewport);let ao,lo;oo=oo.map((uo,co)=>(co===0&&(ao=so.x-uo.x,lo=so.y-uo.y),Object.assign(Object.assign({},uo),{x:ao?uo.x-COPIED_NODE_SPACING+ao:uo.x,y:lo?uo.y-COPIED_NODE_SPACING+lo:uo.y,state:GraphNodeStatus.Selected})))}let io=unSelectAllEntity()(eo.data.present);return oo.forEach(so=>{io=io.insertNode(so)}),to.data.edges.forEach(so=>{io=io.insertEdge(so)}),Object.assign(Object.assign({},eo),{data:pushHistory(eo.data,io)})}case GraphCanvasEvent.Delete:return eo.settings.features.has(GraphFeatures.Delete)?Object.assign(Object.assign({},eo),{data:pushHistory(eo.data,eo.data.present.deleteItems({node:notSelected,edge:notSelected}),unSelectAllEntity())}):eo;case GraphCanvasEvent.Undo:return Object.assign(Object.assign({},eo),{data:undo$1(eo.data)});case GraphCanvasEvent.Redo:return Object.assign(Object.assign({},eo),{data:redo$1(eo.data)});case GraphCanvasEvent.KeyDown:{const ro=to.rawEvent.key.toLowerCase();if(eo.activeKeys.has(ro))return eo;const no=new Set(eo.activeKeys);return no.add(ro),Object.assign(Object.assign({},eo),{activeKeys:no})}case GraphCanvasEvent.KeyUp:{const ro=to.rawEvent.key.toLowerCase();if(!eo.activeKeys.has(ro))return eo;const no=new Set(eo.activeKeys);return no.delete(ro),Object.assign(Object.assign({},eo),{activeKeys:no})}case GraphCanvasEvent.SetData:return Object.assign(Object.assign({},eo),{data:resetUndoStack(to.data)});case GraphCanvasEvent.UpdateData:return Object.assign(Object.assign({},eo),{data:to.shouldRecord?pushHistory(eo.data,to.updater(eo.data.present)):Object.assign(Object.assign({},eo.data),{present:to.updater(eo.data.present)})});case GraphCanvasEvent.ResetUndoStack:return Object.assign(Object.assign({},eo),{data:resetUndoStack(eo.data.present)});case GraphCanvasEvent.UpdateSettings:{const ro=__rest(to,["type"]);return Object.assign(Object.assign({},eo),{settings:Object.assign(Object.assign({},eo.settings),ro)})}default:return eo}};function composeReducers(eo){return to=>eo.reduceRight((ro,no)=>no(ro),to)}const VisitPortHelper=eo=>{const{neighborPorts:to,data:ro}=eo,no=reactExports.useRef(null),[oo,io]=reactExports.useState(),so=reactExports.useCallback(uo=>{uo.key==="Escape"&&(uo.stopPropagation(),uo.preventDefault(),oo&&eo.onComplete(oo))},[oo,eo]),ao=reactExports.useCallback(()=>{},[]),lo=reactExports.useCallback(uo=>{const co=JSON.parse(uo.target.value);co.nodeId&&co.portId&&io({nodeId:co.nodeId,portId:co.portId})},[io]);return reactExports.useEffect(()=>{no.current&&no.current.focus({preventScroll:!0})},[]),jsxRuntimeExports.jsx("select",Object.assign({onKeyDown:so,onBlur:ao,ref:no,onChange:lo},{children:to.map(uo=>{const co=oo&&oo.portId===uo.portId&&oo.nodeId===uo.nodeId,fo=JSON.stringify(uo),ho=ro.nodes.get(uo.nodeId);if(!ho)return null;const po=ho.ports?ho.ports.filter(vo=>vo.id===uo.portId)[0]:null;if(!po)return null;const go=`${ho.ariaLabel||ho.name||ho.id}: ${po.ariaLabel||po.name||po.id}`;return jsxRuntimeExports.jsx("option",Object.assign({value:fo,"aria-selected":co,"aria-label":go},{children:go}),`${uo.nodeId}-${uo.portId}`)})}))},item=(eo=void 0,to=void 0)=>({node:eo,port:to}),findDOMElement=(eo,{node:to,port:ro})=>{var no,oo;let io;if(to&&ro)io=getPortUid((no=eo.dataset.graphId)!==null&&no!==void 0?no:"",to,ro);else if(to)io=getNodeUid((oo=eo.dataset.graphId)!==null&&oo!==void 0?oo:"",to);else return null;return eo.getElementById(io)},focusItem=(eo,to,ro,no)=>{if(!eo.current)return;const oo=findDOMElement(eo.current,to);oo?(ro.preventDefault(),ro.stopPropagation(),oo.focus({preventScroll:!0}),no.trigger({type:GraphCanvasEvent.Navigate,node:to.node,port:to.port,rawEvent:ro})):!to.node&&!to.port&&no.trigger({type:GraphCanvasEvent.Navigate,node:to.node,port:to.port,rawEvent:ro})},getNextItem=(eo,to,ro)=>{if(to.ports){const io=(ro?to.ports.findIndex(so=>so.id===ro.id):-1)+1;if(io<to.ports.length)return item(to,to.ports[io])}const no=to.next&&eo.nodes.get(to.next);return no?item(no):item()},getPrevItem=(eo,to,ro)=>{if(ro&&to.ports){const oo=to.ports.findIndex(io=>io.id===ro.id)-1;return oo>=0?item(to,to.ports[oo]):item(to)}const no=to.prev&&eo.nodes.get(to.prev);return no?item(no,no.ports&&no.ports.length?no.ports[no.ports.length-1]:void 0):item()},nextConnectablePort=(eo,to)=>(ro,no,oo)=>{var io,so,ao;let lo=getNextItem(ro,no,oo);for(;!(((io=lo.node)===null||io===void 0?void 0:io.id)===no.id&&((so=lo.port)===null||so===void 0?void 0:so.id)===(oo==null?void 0:oo.id));){if(!lo.node)lo=item(ro.getNavigationFirstNode());else if(lo.port&&!((ao=eo.getPortConfig(lo.port))===null||ao===void 0)&&ao.getIsConnectable(Object.assign(Object.assign({},to),{data:ro,parentNode:lo.node,model:lo.port})))return lo;lo=getNextItem(ro,lo.node,lo.port)}return item()},focusNextPort=(eo,to,ro,no,oo,io)=>{const ao=(eo.findIndex(uo=>uo.id===ro)+1)%eo.length,lo=eo[ao];lo&&no.current&&focusItem(no,{node:to,port:lo},oo,io)},focusPrevPort=(eo,to,ro,no,oo,io)=>{const ao=(eo.findIndex(uo=>uo.id===ro)-1+eo.length)%eo.length,lo=eo[ao];lo&&no.current&&focusItem(no,{node:to,port:lo},oo,io)},getFocusNodeHandler=eo=>(to,ro,no,oo,io,so)=>{const ao=Array.from(to.nodes.values()).sort(eo),lo=ao.findIndex(co=>co.id===ro),uo=ao[(lo+1)%ao.length];uo&&no.current&&(oo.dispatch({type:GraphNodeEvent.Select,nodes:[uo.id]}),oo.dispatch({type:GraphNodeEvent.Centralize,nodes:[uo.id]}),focusItem(no,{node:uo,port:void 0},io,so))},focusLeftNode=getFocusNodeHandler((eo,to)=>eo.x*10+eo.y-to.x*10-to.y),focusRightNode=getFocusNodeHandler((eo,to)=>to.x*10+to.y-eo.x*10-eo.y),focusDownNode=getFocusNodeHandler((eo,to)=>eo.x+eo.y*10-to.x-to.y*10),focusUpNode=getFocusNodeHandler((eo,to)=>to.x+to.y*10-eo.x-eo.y*10),goToConnectedPort=(eo,to,ro,no,oo,io)=>{var so;const ao=getNeighborPorts(eo,to.id,ro.id);if(ao.length===1&&no.current){const lo=eo.nodes.get(ao[0].nodeId);if(!lo)return;const uo=(so=lo.ports)===null||so===void 0?void 0:so.find(co=>co.id===ao[0].portId);if(!uo)return;focusItem(no,{node:lo,port:uo},oo,io)}else if(ao.length>1&&no.current){const lo=fo=>{var ho;if(reactDomExports.unmountComponentAtNode(uo),no.current){const vo=no.current.closest(".react-dag-editor-container");vo&&vo.removeChild(uo)}const po=eo.nodes.get(fo.nodeId);if(!po)return;const go=(ho=po.ports)===null||ho===void 0?void 0:ho.find(vo=>vo.id===fo.portId);go&&focusItem(no,{node:po,port:go},oo,io)},uo=document.createElement("div"),co=no.current.closest(".react-dag-editor-container");co&&co.appendChild(uo),uo.style.position="fixed",uo.style.top="0",reactDomExports.render(jsxRuntimeExports.jsx(VisitPortHelper,{neighborPorts:ao,onComplete:lo,data:eo}),uo)}};function defaultGetPortAriaLabel(eo,to,ro){return ro.ariaLabel}function defaultGetNodeAriaLabel(eo){return eo.ariaLabel}function attachPort(eo,to,ro){if(!eo.connectState)return eo;let no=eo.data.present;return no=no.updatePort(to,ro,updateStatus(add$1(GraphPortStatus.ConnectingAsTarget))),eo.connectState.targetNode&&eo.connectState.targetPort&&(no=no.updatePort(eo.connectState.targetNode,eo.connectState.targetPort,updateStatus(remove$2(GraphPortStatus.ConnectingAsTarget)))),Object.assign(Object.assign({},eo),{connectState:Object.assign(Object.assign({},eo.connectState),{targetNode:to,targetPort:ro}),data:Object.assign(Object.assign({},eo.data),{present:no})})}function clearAttach(eo){if(!eo.connectState)return eo;let to=eo.data.present;const{targetPort:ro,targetNode:no}=eo.connectState;return no&&ro&&(to=to.updatePort(no,ro,updateStatus(remove$2(GraphPortStatus.ConnectingAsTarget)))),Object.assign(Object.assign({},eo),{connectState:Object.assign(Object.assign({},eo.connectState),{targetNode:void 0,targetPort:void 0}),data:Object.assign(Object.assign({},eo.data),{present:to})})}const connectingReducer=(eo,to)=>{var ro,no,oo;if(!isViewportComplete(eo.viewport))return eo;const{rect:io}=eo.viewport;switch(to.type){case GraphEdgeEvent.ConnectStart:return Object.assign(Object.assign({},eo),{connectState:Object.assign(Object.assign({},EMPTY_CONNECT_STATE),{sourceNode:to.nodeId,sourcePort:to.portId,movingPoint:to.clientPoint?{x:to.clientPoint.x-io.left,y:to.clientPoint.y-io.top}:void 0}),data:Object.assign(Object.assign({},eo.data),{present:eo.data.present.updatePort(to.nodeId,to.portId,updateStatus(add$1(GraphPortStatus.Connecting)))})});case GraphEdgeEvent.ConnectMove:return eo.connectState?Object.assign(Object.assign({},eo),{connectState:Object.assign(Object.assign({},eo.connectState),{movingPoint:{x:to.clientX-io.left,y:to.clientY-io.top}})}):eo;case GraphEdgeEvent.ConnectEnd:if(eo.connectState){const{edgeWillAdd:so,isCancel:ao}=to,{sourceNode:lo,sourcePort:uo,targetNode:co,targetPort:fo}=eo.connectState;let ho=eo.data.present;if(ho=ho.updatePort(lo,uo,updateStatus(replace$1(GraphPortStatus.Default))),!ao&&co&&fo){let po={source:lo,sourcePortId:uo,target:co,targetPortId:fo,id:v4(),status:GraphEdgeStatus.Default};return so&&(po=so(po,ho)),ho=ho.insertEdge(po).updatePort(co,fo,updateStatus(replace$1(GraphPortStatus.Default))),Object.assign(Object.assign({},eo),{connectState:void 0,data:pushHistory(eo.data,ho,unSelectAllEntity())})}return Object.assign(Object.assign({},eo),{connectState:void 0,data:Object.assign(Object.assign({},eo.data),{present:ho})})}return eo;case GraphEdgeEvent.ConnectNavigate:if(eo.connectState){const so=eo.data.present,ao=so.nodes.get(eo.connectState.sourceNode),lo=ao==null?void 0:ao.getPort(eo.connectState.sourcePort),uo=eo.connectState.targetNode?so.nodes.get(eo.connectState.targetNode):void 0,co=eo.connectState.targetPort?uo==null?void 0:uo.getPort(eo.connectState.targetPort):void 0;if(!ao||!lo)return eo;const fo=nextConnectablePort(eo.settings.graphConfig,{anotherNode:ao,anotherPort:lo})(so,uo||ao,co);return!fo.node||!fo.port||fo.node.id===ao.id&&fo.port.id===lo.id?eo:attachPort(eo,fo.node.id,fo.port.id)}return eo;case GraphPortEvent.PointerEnter:if(eo.connectState){const{sourceNode:so,sourcePort:ao}=eo.connectState,lo=eo.data.present,uo=lo.nodes.get(to.node.id),co=uo==null?void 0:uo.getPort(to.port.id),fo=lo.nodes.get(so),ho=fo==null?void 0:fo.getPort(ao);if(uo&&co&&fo&&ho&&isConnectable(eo.settings.graphConfig,{parentNode:uo,model:co,data:lo,anotherPort:ho,anotherNode:fo}))return attachPort(eo,uo.id,co.id)}return eo;case GraphNodeEvent.PointerEnter:case GraphNodeEvent.PointerMove:if(eo.connectState){const{clientX:so,clientY:ao}=to.rawEvent,{sourceNode:lo,sourcePort:uo}=eo.connectState,co=eo.data.present,fo=co.nodes.get(to.node.id),ho=co.nodes.get(lo),po=ho==null?void 0:ho.getPort(uo);if(fo&&ho&&po){const go=getNearestConnectablePort({parentNode:fo,clientX:so,clientY:ao,graphConfig:eo.settings.graphConfig,data:eo.data.present,viewport:eo.viewport,anotherPort:po,anotherNode:ho});return go?attachPort(eo,fo.id,go.id):eo}}return eo;case GraphNodeEvent.PointerLeave:return((ro=eo.connectState)===null||ro===void 0?void 0:ro.targetNode)===to.node.id?clearAttach(eo):eo;case GraphPortEvent.PointerLeave:return((no=eo.connectState)===null||no===void 0?void 0:no.targetNode)===to.node.id&&((oo=eo.connectState)===null||oo===void 0?void 0:oo.targetPort)===to.port.id?clearAttach(eo):eo;default:return eo}},contextMenuReducer=(eo,to)=>{let ro=eo.contextMenuPosition;switch(to.type){case GraphCanvasEvent.ContextMenu:case GraphNodeEvent.ContextMenu:case GraphEdgeEvent.ContextMenu:case GraphPortEvent.ContextMenu:{const no=to.rawEvent;no.button===MouseEventButton.Secondary&&(ro={x:no.clientX,y:no.clientY})}break;case GraphCanvasEvent.Click:case GraphNodeEvent.Click:case GraphEdgeEvent.Click:case GraphPortEvent.Click:ro=void 0;break;case GraphContextMenuEvent.Open:ro={x:to.x,y:to.y};break;case GraphContextMenuEvent.Close:ro=void 0;break}return eo.contextMenuPosition===ro?eo:Object.assign(Object.assign({},eo),{contextMenuPosition:ro})},edgeReducer=(eo,to)=>{switch(to.type){case GraphEdgeEvent.DoubleClick:return eo.settings.features.has(GraphFeatures.EditEdge)?Object.assign(Object.assign({},eo),{data:Object.assign(Object.assign({},eo.data),{present:eo.data.present.updateEdge(to.edge.id,updateStatus(replace$1(GraphEdgeStatus.Editing)))})}):eo;case GraphEdgeEvent.MouseEnter:return Object.assign(Object.assign({},eo),{data:Object.assign(Object.assign({},eo.data),{present:eo.data.present.updateEdge(to.edge.id,updateStatus(add$1(GraphEdgeStatus.Activated)))})});case GraphEdgeEvent.MouseLeave:return Object.assign(Object.assign({},eo),{data:Object.assign(Object.assign({},eo.data),{present:eo.data.present.updateEdge(to.edge.id,updateStatus(remove$2(GraphEdgeStatus.Activated)))})});case GraphEdgeEvent.Click:case GraphEdgeEvent.ContextMenu:return Object.assign(Object.assign({},eo),{data:Object.assign(Object.assign({},eo.data),{present:unSelectAllEntity()(eo.data.present).updateEdge(to.edge.id,updateStatus(add$1(GraphEdgeStatus.Selected)))})});case GraphEdgeEvent.Add:return Object.assign(Object.assign({},eo),{data:pushHistory(eo.data,eo.data.present.insertEdge(to.edge))});default:return eo}},getAlignmentLines=(eo,to,ro,no=2)=>{const oo=getDummyDraggingNode(eo),io=getClosestNodes(oo,eo,to,ro,no);return getLines(oo,io,eo.length)},getAutoAlignDisplacement=(eo,to,ro,no)=>{let oo=1/0,io=0;const so=getDummyDraggingNode(to),ao=no==="x"?so.width||0:so.height||0;return eo.forEach(lo=>{let uo;if(no==="x"&&lo.x1===lo.x2)uo=lo.x1;else if(no==="y"&&lo.y1===lo.y2)uo=lo.y1;else return;const co=so[no]-uo,fo=so[no]+(ao||0)/2-uo,ho=so[no]+(ao||0)-uo;Math.abs(co)<oo&&(oo=Math.abs(co),io=co>0?-oo:oo),Math.abs(fo)<oo&&(oo=Math.abs(fo),io=fo>0?-oo:oo),Math.abs(ho)<oo&&(oo=Math.abs(ho),io=ho>0?-oo:oo)}),io},getMinCoordinate=(eo,to)=>{if(eo.length)return Math.min(...eo.map(ro=>ro[to]))},getMaxCoordinate=(eo,to)=>{if(eo.length)return Math.max(...eo.map(ro=>ro[to]+(to==="y"?ro.height||0:ro.width||0)))},setSizeForNode=(eo,to)=>Object.assign(Object.assign({},eo),getNodeSize(eo,to)),getBoundingBoxOfNodes=eo=>{let to=1/0,ro=1/0,no=-1/0,oo=-1/0;return eo.forEach(io=>{const so=io.x,ao=io.y,lo=io.x+(io.width||0),uo=io.y+(io.height||0);so<to&&(to=so),ao<ro&&(ro=ao),lo>no&&(no=lo),uo>oo&&(oo=uo)}),{x:to,y:ro,width:no-to,height:oo-ro}},getDummyDraggingNode=eo=>{const{x:to,y:ro,width:no,height:oo}=getBoundingBoxOfNodes(eo);return{id:v4(),x:to,y:ro,width:no,height:oo}},getClosestNodes=(eo,to,ro,no,oo=2)=>{const io=[],so=[],{x:ao,y:lo,width:uo=0,height:co=0}=eo;let fo=oo,ho=oo;return ro.forEach(po=>{if(to.find(xo=>xo.id===po.id))return;const go=setSizeForNode(po,no),{width:vo=0,height:bo=0}=go;[ao,ao+uo/2,ao+uo].forEach((xo,_o)=>{io[_o]||(io[_o]={}),io[_o].closestNodes||(io[_o].closestNodes=[]),[go.x,go.x+vo/2,go.x+vo].forEach(Eo=>{var So;const To=Math.abs(xo-Eo);To<=fo&&((So=io[_o].closestNodes)===null||So===void 0||So.push(go),io[_o].alignCoordinateValue=Eo,fo=To)})}),[lo,lo+co/2,lo+co].forEach((xo,_o)=>{so[_o]||(so[_o]={}),so[_o].closestNodes||(so[_o].closestNodes=[]),[go.y,go.y+bo/2,go.y+bo].forEach(Eo=>{var So;const To=Math.abs(xo-Eo);To<=ho&&((So=so[_o].closestNodes)===null||So===void 0||So.push(go),so[_o].alignCoordinateValue=Eo,ho=To)})})}),{closestX:io,closestY:so}},getLines=(eo,to,ro=1)=>{const no=[],oo=[],io=to.closestX,so=to.closestY;return io.forEach((ao,lo)=>{var uo;if(ao.alignCoordinateValue===void 0||lo===1&&(no.length||ro>1))return;const co=[],fo=ao.alignCoordinateValue;(uo=ao.closestNodes)===null||uo===void 0||uo.forEach(go=>{(go.x===fo||go.x+(go.width||0)/2===fo||go.x+(go.width||0)===fo)&&co.push(go)});const ho=getMinCoordinate([eo,...co],"y"),po=getMaxCoordinate([eo,...co],"y");ho!==void 0&&po!==void 0&&no.push({x1:fo,y1:ho,x2:fo,y2:po,visible:!0})}),so.forEach((ao,lo)=>{var uo;if(ao.alignCoordinateValue===void 0||lo===1&&(oo.length||ro>1))return;const co=[],fo=ao.alignCoordinateValue;(uo=ao.closestNodes)===null||uo===void 0||uo.forEach(go=>{(go.y===fo||go.y+(go.height||0)/2===fo||go.y+(go.height||0)===fo)&&co.push(go)});const ho=getMinCoordinate([eo,...co],"x"),po=getMaxCoordinate([eo,...co],"x");ho!==void 0&&po!==void 0&&oo.push({x1:ho,y1:fo,x2:po,y2:fo,visible:!0})}),[...no,...oo]};function pipe(...eo){return eo.reduceRight((to,ro)=>no=>to(ro(no)),identical)}const getDelta=(eo,to,ro)=>ro<eo?-10:ro>to?10:0;function getSelectedNodes(eo,to){const ro=[];return eo.nodes.forEach(no=>{isSelected(no)&&ro.push(Object.assign({id:no.id,x:no.x,y:no.y},getNodeSize(no,to)))}),ro}function dragNodeHandler(eo,to){if(!isViewportComplete(eo.viewport))return eo;const ro=po=>Math.max(po,getScaleLimit(so,eo.settings)),no=to.rawEvent,{rect:oo}=eo.viewport,io=Object.assign({},eo),so=eo.data.present,ao=getDelta(oo.left,oo.right,no.clientX),lo=getDelta(oo.top,oo.bottom,no.clientY),uo=ao!==0||lo!==0?.999:1,co=ao!==0||ao!==0?pipe(pan(-ao,-lo),zoom({scale:uo,anchor:getRelativePoint(oo,no),direction:Direction$2.XY,limitScale:ro}))(eo.viewport):eo.viewport,fo=getPointDeltaByClientDelta(to.dx+ao*uo,to.dy+lo*uo,co.transformMatrix),ho=Object.assign(Object.assign({},eo.dummyNodes),{dx:eo.dummyNodes.dx+fo.x,dy:eo.dummyNodes.dy+fo.y,isVisible:to.isVisible});if(to.isAutoAlignEnable){const po=getRenderedNodes(so.nodes,eo.viewport);if(po.length<to.autoAlignThreshold){const go=ho.nodes.map(bo=>Object.assign(Object.assign({},bo),{x:bo.x+ho.dx,y:bo.y+ho.dy})),vo=getAlignmentLines(go,po,eo.settings.graphConfig,eo.viewport.transformMatrix[0]>.3?2:5);if(vo.length){const bo=getAutoAlignDisplacement(vo,go,eo.settings.graphConfig,"x"),xo=getAutoAlignDisplacement(vo,go,eo.settings.graphConfig,"y");ho.alignedDX=ho.dx+bo,ho.alignedDY=ho.dy+xo}else ho.alignedDX=void 0,ho.alignedDY=void 0;io.alignmentLines=vo}else ho.alignedDX=void 0,ho.alignedDY=void 0}return io.dummyNodes=ho,io.viewport=co,io}function handleDraggingNewNode(eo,to){if(!eo.settings.features.has(GraphFeatures.AutoAlign))return eo;const ro=eo.data.present,no=getRenderedNodes(ro.nodes,eo.viewport),oo=getAlignmentLines([to.node],no,eo.settings.graphConfig,eo.viewport.transformMatrix[0]>.3?2:5);return Object.assign(Object.assign({},eo),{alignmentLines:oo})}function dragStart(eo,to){let ro=eo.data.present;const no=ro.nodes.get(to.node.id);if(!no)return eo;let oo;return to.isMultiSelect?(ro=ro.selectNodes(io=>io.id===to.node.id||isSelected(io)),oo=getSelectedNodes(ro,eo.settings.graphConfig)):isSelected(no)?oo=getSelectedNodes(ro,eo.settings.graphConfig):oo=[Object.assign({id:to.node.id,x:to.node.x,y:to.node.y},getNodeSize(to.node,eo.settings.graphConfig))],Object.assign(Object.assign({},eo),{data:Object.assign(Object.assign({},eo.data),{present:ro}),dummyNodes:Object.assign(Object.assign({},emptyDummyNodes()),{isVisible:!1,nodes:oo})})}function dragEnd(eo,to){let ro=eo.data.present;if(to.isDragCanceled)return Object.assign(Object.assign({},eo),{alignmentLines:[],dummyNodes:emptyDummyNodes()});const{dx:no,dy:oo}=eo.dummyNodes;return ro=ro.updateNodesPositionAndSize(eo.dummyNodes.nodes.map(io=>Object.assign(Object.assign({},io),{x:io.x+no,y:io.y+oo,width:void 0,height:void 0}))),Object.assign(Object.assign({},eo),{alignmentLines:[],dummyNodes:emptyDummyNodes(),data:pushHistory(eo.data,ro,unSelectAllEntity())})}function locateNode(eo,to){const ro=to.data.present;if(!isViewportComplete(to.viewport)||!eo.nodes.length)return to;if(eo.nodes.length===1){const ao=eo.nodes[0],lo=ro.nodes.get(ao);if(!lo)return to;const{width:uo,height:co}=getNodeSize(lo,to.settings.graphConfig),fo=eo.type===GraphNodeEvent.Centralize?lo.x+uo/2:lo.x,ho=eo.type===GraphNodeEvent.Centralize?lo.y+co/2:lo.y,{x:po,y:go}=transformPoint(fo,ho,to.viewport.transformMatrix),vo=eo.type===GraphNodeEvent.Locate?eo.position:void 0;return Object.assign(Object.assign({},to),{viewport:scrollIntoView$3(po,go,to.viewport.rect,!0,vo)(to.viewport)})}const{minNodeX:no,minNodeY:oo,maxNodeX:io,maxNodeY:so}=getContentArea$1(ro,to.settings.graphConfig,new Set(eo.nodes));return Object.assign(Object.assign({},to),{viewport:focusArea(no,oo,io,so,to.viewport)})}const nodeReducer=(eo,to)=>{const ro=eo.data.present;switch(to.type){case GraphNodeEvent.ResizingStart:return Object.assign(Object.assign({},eo),{dummyNodes:Object.assign(Object.assign({},emptyDummyNodes()),{isVisible:!0,nodes:getSelectedNodes(ro,eo.settings.graphConfig)})});case GraphNodeEvent.Resizing:return Object.assign(Object.assign({},eo),{dummyNodes:Object.assign(Object.assign({},eo.dummyNodes),{dx:to.dx,dy:to.dy,dWidth:to.dWidth,dHeight:to.dHeight})});case GraphNodeEvent.ResizingEnd:{const{dx:no,dy:oo,dWidth:io,dHeight:so}=eo.dummyNodes;return Object.assign(Object.assign({},eo),{dummyNodes:emptyDummyNodes(),data:pushHistory(eo.data,ro.updateNodesPositionAndSize(eo.dummyNodes.nodes.map(ao=>Object.assign(Object.assign({},ao),{x:ao.x+no,y:ao.y+oo,width:ao.width+io,height:ao.height+so}))),unSelectAllEntity())})}case GraphNodeEvent.DragStart:return dragStart(eo,to);case GraphNodeEvent.Drag:return dragNodeHandler(eo,to);case GraphNodeEvent.DragEnd:return dragEnd(eo,to);case GraphNodeEvent.PointerEnter:switch(eo.behavior){case GraphBehavior.Default:return Object.assign(Object.assign({},eo),{data:Object.assign(Object.assign({},eo.data),{present:ro.updateNode(to.node.id,updateStatus(add$1(GraphNodeStatus.Activated)))})});default:return eo}case GraphNodeEvent.PointerLeave:switch(eo.behavior){case GraphBehavior.Default:case GraphBehavior.Connecting:return Object.assign(Object.assign({},eo),{data:Object.assign(Object.assign({},eo.data),{present:ro.updateNode(to.node.id,updateStatus(remove$2(GraphNodeStatus.Activated)))})});default:return eo}case GraphCanvasEvent.DraggingNodeFromItemPanel:return handleDraggingNewNode(eo,to);case GraphCanvasEvent.DraggingNodeFromItemPanelEnd:return to.node?Object.assign(Object.assign({},eo),{alignmentLines:[],data:pushHistory(eo.data,eo.data.present.insertNode(Object.assign(Object.assign({},to.node),{status:GraphNodeStatus.Selected})),unSelectAllEntity())}):Object.assign(Object.assign({},eo),{alignmentLines:[]});case GraphNodeEvent.Centralize:case GraphNodeEvent.Locate:return locateNode(to,eo);case GraphNodeEvent.Add:return Object.assign(Object.assign({},eo),{data:pushHistory(eo.data,ro.insertNode(to.node))});case GraphNodeEvent.DoubleClick:return Object.assign(Object.assign({},eo),{data:Object.assign(Object.assign({},eo.data),{present:eo.data.present.updateNode(to.node.id,updateStatus(add$1(GraphNodeStatus.Editing)))})});default:return eo}},portReducer=(eo,to)=>{switch(to.type){case GraphPortEvent.Focus:case GraphPortEvent.PointerEnter:return Object.assign(Object.assign({},eo),{data:Object.assign(Object.assign({},eo.data),{present:eo.data.present.updatePort(to.node.id,to.port.id,updateStatus(add$1(GraphPortStatus.Activated)))})});case GraphPortEvent.Blur:case GraphPortEvent.PointerLeave:return Object.assign(Object.assign({},eo),{data:Object.assign(Object.assign({},eo.data),{present:eo.data.present.updatePort(to.node.id,to.port.id,updateStatus(remove$2(GraphPortStatus.Activated)))})});case GraphPortEvent.Click:case GraphPortEvent.ContextMenu:return Object.assign(Object.assign({},eo),{data:Object.assign(Object.assign({},eo.data),{present:unSelectAllEntity()(eo.data.present).updatePort(to.node.id,to.port.id,updateStatus(add$1(GraphPortStatus.Selected)))})});default:return eo}},selectNodeBySelectBox=(eo,to,ro,no)=>{if(!ro.width||!ro.height)return no;const oo=Math.min(ro.startX,ro.startX+ro.width),io=Math.max(ro.startX,ro.startX+ro.width),so=Math.min(ro.startY,ro.startY+ro.height),ao=Math.max(ro.startY,ro.startY+ro.height),lo=reverseTransformPoint(oo,so,to),uo=reverseTransformPoint(io,ao,to),co={minX:lo.x,minY:lo.y,maxX:uo.x,maxY:uo.y};return no.selectNodes(fo=>{const{width:ho,height:po}=getNodeSize(fo,eo),go={minX:fo.x,minY:fo.y,maxX:fo.x+ho,maxY:fo.y+po};return checkRectIntersect(co,go)})};function handleNavigate(eo,to){let ro=unSelectAllEntity()(eo.data.present);if(to.node&&to.port)ro=ro.updatePort(to.node.id,to.port.id,updateStatus(add$1(GraphPortStatus.Selected)));else if(to.node){const no=to.node.id;ro=ro.selectNodes(oo=>oo.id===no)}return Object.assign(Object.assign({},eo),{data:Object.assign(Object.assign({},eo.data),{present:ro})})}const selectionReducer=(eo,to)=>{var ro,no;const oo=eo.data.present,io=eo.settings.features.has(GraphFeatures.LassoSelect);switch(to.type){case GraphCanvasEvent.Click:case GraphCanvasEvent.ResetSelection:case GraphCanvasEvent.ContextMenu:return Object.assign(Object.assign({},eo),{data:Object.assign(Object.assign({},eo.data),{present:unSelectAllEntity()(oo)})});case GraphNodeEvent.Click:case GraphNodeEvent.ContextMenu:return Object.assign(Object.assign({},eo),{data:Object.assign(Object.assign({},eo.data),{present:nodeSelection(to.rawEvent,to.node)(oo)})});case GraphCanvasEvent.SelectStart:{if(!isViewportComplete(eo.viewport))return eo;const so=getRelativePoint(eo.viewport.rect,to.rawEvent);return Object.assign(Object.assign({},eo),{data:Object.assign(Object.assign({},eo.data),{present:unSelectAllEntity()(oo)}),selectBoxPosition:{startX:so.x,startY:io?0:so.y,width:0,height:0}})}case GraphCanvasEvent.SelectMove:return eo.behavior!==GraphBehavior.MultiSelect?eo:Object.assign(Object.assign({},eo),{selectBoxPosition:Object.assign(Object.assign({},eo.selectBoxPosition),{width:eo.selectBoxPosition.width+to.dx,height:io?(no=(ro=eo.viewport.rect)===null||ro===void 0?void 0:ro.height)!==null&&no!==void 0?no:eo.selectBoxPosition.height:eo.selectBoxPosition.height+to.dy})});case GraphCanvasEvent.SelectEnd:return Object.assign(Object.assign({},eo),{selectBoxPosition:emptySelectBoxPosition(),data:Object.assign(Object.assign({},eo.data),{present:selectNodeBySelectBox(eo.settings.graphConfig,eo.viewport.transformMatrix,eo.selectBoxPosition,oo)})});case GraphCanvasEvent.UpdateNodeSelectionBySelectBox:return eo.behavior!==GraphBehavior.MultiSelect?eo:Object.assign(Object.assign({},eo),{data:Object.assign(Object.assign({},eo.data),{present:selectNodeBySelectBox(eo.settings.graphConfig,eo.viewport.transformMatrix,eo.selectBoxPosition,oo)})});case GraphCanvasEvent.Navigate:return handleNavigate(eo,to);case GraphNodeEvent.SelectAll:return Object.assign(Object.assign({},eo),{data:Object.assign(Object.assign({},eo.data),{present:oo.selectNodes(()=>!0)})});case GraphNodeEvent.Select:{const so=new Set(to.nodes);return Object.assign(Object.assign({},eo),{data:Object.assign(Object.assign({},eo.data),{present:oo.selectNodes(ao=>so.has(ao.id))})})}default:return eo}};function getRectCenter(eo){return{x:eo.width/2,y:eo.height/2}}function resetViewport(eo,to,ro,no){if(!isViewportComplete(eo))return eo;if(!no.ensureNodeVisible)return Object.assign(Object.assign({},eo),{transformMatrix:EMPTY_TRANSFORM_MATRIX});const{nodes:oo,groups:io}=to;if(oo.size===0)return Object.assign(Object.assign({},eo),{transformMatrix:EMPTY_TRANSFORM_MATRIX});const so=po=>isRectVisible(po,eo),ao=oo.map(po=>getNodeRect(po,ro));if(ao.find(so))return Object.assign(Object.assign({},eo),{transformMatrix:EMPTY_TRANSFORM_MATRIX});const uo=io.map(po=>getGroupRect(po,oo,ro));if(uo.find(so))return Object.assign(Object.assign({},eo),{transformMatrix:EMPTY_TRANSFORM_MATRIX});let fo=ao.first();const ho=po=>{fo.y>po.y&&(fo=po)};return ao.forEach(ho),uo.forEach(ho),Object.assign(Object.assign({},eo),{transformMatrix:[1,0,0,1,-fo.x,-fo.y]})}function zoomToFit(eo,to,ro,no){if(!isViewportComplete(eo))return eo;const{graphConfig:oo,nodeMaxVisibleSize:io,nodeMinVisibleSize:so}=ro,ao=getZoomFitMatrix(Object.assign(Object.assign({},no),{data:to,graphConfig:oo,rect:eo.rect,nodeMaxVisibleSize:io,nodeMinVisibleSize:so}));return Object.assign(Object.assign({},eo),{transformMatrix:ao})}const reducer=(eo,to,ro,no)=>{var oo,io,so,ao;const{graphConfig:lo,canvasBoundaryPadding:uo,features:co}=no,fo=ho=>Math.max(ho,getScaleLimit(ro,no));switch(to.type){case GraphCanvasEvent.ViewportResize:return Object.assign(Object.assign({},eo),{rect:to.viewportRect});case GraphCanvasEvent.Zoom:return isViewportComplete(eo)?zoom({scale:to.scale,anchor:(oo=to.anchor)!==null&&oo!==void 0?oo:getRectCenter(eo.rect),direction:to.direction,limitScale:fo})(eo):eo;case GraphScrollBarEvent.Scroll:case GraphCanvasEvent.MouseWheelScroll:case GraphCanvasEvent.Pan:case GraphCanvasEvent.Drag:{if(!isViewportComplete(eo))return eo;const{transformMatrix:ho,rect:po}=eo;let{dx:go,dy:vo}=to;const bo=co.has(GraphFeatures.LimitBoundary),xo=(so=(io=ro.groups)===null||io===void 0?void 0:io[0])===null||so===void 0?void 0:so.padding;if(bo){const{minX:_o,maxX:Eo,minY:So,maxY:To}=getOffsetLimit({data:ro,graphConfig:lo,rect:po,transformMatrix:ho,canvasBoundaryPadding:uo,groupPadding:xo});go=clamp$1(_o-ho[4],Eo-ho[4],go),vo=clamp$1(So-ho[5],To-ho[5],vo)}return pan(go,vo)(eo)}case GraphCanvasEvent.Pinch:{const{dx:ho,dy:po,scale:go,anchor:vo}=to;return pipe(pan(ho,po),zoom({scale:go,anchor:vo,limitScale:fo}))(eo)}case GraphMinimapEvent.Pan:return minimapPan(to.dx,to.dy)(eo);case GraphCanvasEvent.ResetViewport:return resetViewport(eo,ro,lo,to);case GraphCanvasEvent.ZoomTo:return isViewportComplete(eo)?zoomTo({scale:to.scale,anchor:(ao=to.anchor)!==null&&ao!==void 0?ao:getRectCenter(eo.rect),direction:to.direction,limitScale:fo})(eo):eo;case GraphCanvasEvent.ZoomToFit:return zoomToFit(eo,ro,no,to);case GraphCanvasEvent.ScrollIntoView:if(eo.rect){const{x:ho,y:po}=transformPoint(to.x,to.y,eo.transformMatrix);return scrollIntoView$3(ho,po,eo.rect,!0)(eo)}return eo;default:return eo}},viewportReducer=(eo,to)=>{const ro=reducer(eo.viewport,to,eo.data.present,eo.settings);return ro===eo.viewport?eo:Object.assign(Object.assign({},eo),{viewport:ro})},builtinReducer=composeReducers([behaviorReducer,viewportReducer,nodeReducer,portReducer,edgeReducer,canvasReducer,connectingReducer,selectionReducer,contextMenuReducer].map(eo=>to=>(ro,no)=>to(eo(ro,no),no)));function getGraphReducer(eo=void 0,to=identical){return(eo?composeReducers([eo,builtinReducer]):builtinReducer)(to)}function useGraphReducer(eo,to){const ro=reactExports.useMemo(()=>getGraphReducer(to),[to]),[no,oo]=reactExports.useReducer(ro,eo,createGraphState),io=useConst(()=>[]),so=reactExports.useRef(no),ao=reactExports.useCallback((lo,uo)=>{uo&&io.push(uo),oo(lo)},[io]);return reactExports.useEffect(()=>{const lo=so.current;lo!==no&&(so.current=no,reactDomExports.unstable_batchedUpdates(()=>{io.forEach(uo=>{try{uo(no,lo)}catch(co){console.error(co)}}),io.length=0}))},[no]),[no,ao]}class MouseMoveEventProvider{constructor(to){this.target=to}off(to,ro){switch(to){case"move":this.target.removeEventListener("mousemove",ro);break;case"end":this.target.removeEventListener("mouseup",ro);break}return this}on(to,ro){switch(to){case"move":this.target.addEventListener("mousemove",ro);break;case"end":this.target.addEventListener("mouseup",ro);break}return this}}const useGetMouseDownOnAnchor=(eo,to)=>{const ro=useGraphController();return reactExports.useCallback(no=>oo=>{oo.preventDefault(),oo.stopPropagation(),to.trigger({type:GraphNodeEvent.ResizingStart,rawEvent:oo,node:eo});const io=new DragController(new MouseMoveEventProvider(ro.getGlobalEventTarget()),defaultGetPositionFromEvent);io.onMove=({totalDX:so,totalDY:ao,e:lo})=>{to.trigger(Object.assign({type:GraphNodeEvent.Resizing,rawEvent:lo,node:eo,dx:0,dy:0,dWidth:0,dHeight:0},no(so,ao)))},io.onEnd=({e:so})=>{to.trigger({type:GraphNodeEvent.ResizingEnd,rawEvent:so,node:eo})},to.trigger({type:GraphNodeEvent.ResizingStart,rawEvent:oo,node:eo}),io.start(oo.nativeEvent)},[to,ro,eo])};class PointerEventProvider{constructor(to,ro=null){this.eventEmitter=new eventemitter3Exports.EventEmitter,this.onMove=no=>{(this.pointerId===null||this.pointerId===no.pointerId)&&this.eventEmitter.emit("move",no)},this.onUp=no=>{(this.pointerId===null||this.pointerId===no.pointerId)&&this.eventEmitter.emit("end",no)},this.target=to,this.pointerId=ro}off(to,ro){return this.eventEmitter.off(to,ro),this.ensureRemoveListener(to),this}on(to,ro){return this.ensureAddListener(to),this.eventEmitter.on(to,ro),this}ensureAddListener(to){if(!this.eventEmitter.listeners(to).length)switch(to){case"move":this.target.addEventListener("pointermove",this.onMove);break;case"end":this.target.addEventListener("pointerup",this.onUp);break}}ensureRemoveListener(to){if(!this.eventEmitter.listeners(to).length)switch(to){case"move":this.target.removeEventListener("pointermove",this.onMove);break;case"end":this.target.removeEventListener("pointerup",this.onUp);break}}}const withSimulatedClick=(eo,to)=>({totalDX:ro,totalDY:no,e:oo})=>{var io;const{eventChannel:so,dragThreshold:ao,containerRef:lo}=eo,uo=[];uo.push({type:to,rawEvent:oo}),oo.target instanceof Node&&(!((io=lo.current)===null||io===void 0)&&io.contains(oo.target))&&isWithinThreshold(ro,no,ao)&&uo.push({type:GraphCanvasEvent.Click,rawEvent:oo}),so.batch(uo)},dragMultiSelect=(eo,to)=>{const{getPositionFromEvent:ro,graphController:no,eventChannel:oo}=to,io=new DragController(new MouseMoveEventProvider(no.getGlobalEventTarget()),ro);io.onMove=({dx:so,dy:ao,e:lo})=>{oo.trigger({type:GraphCanvasEvent.SelectMove,rawEvent:lo,dx:so,dy:ao})},io.onEnd=withSimulatedClick(to,GraphCanvasEvent.SelectEnd),oo.trigger({type:GraphCanvasEvent.SelectStart,rawEvent:eo}),io.start(eo)},dragPan=(eo,to)=>{const{getPositionFromEvent:ro,graphController:no,eventChannel:oo}=to,io=new DragController(new MouseMoveEventProvider(no.getGlobalEventTarget()),ro);io.onMove=({dx:so,dy:ao,e:lo})=>{oo.trigger({type:GraphCanvasEvent.Drag,rawEvent:lo,dx:so,dy:ao})},io.onEnd=withSimulatedClick(to,GraphCanvasEvent.DragEnd),io.start(eo),oo.trigger({type:GraphCanvasEvent.DragStart,rawEvent:eo})},onContainerMouseDown=(eo,to)=>{var ro;if(eo.preventDefault(),eo.stopPropagation(),eo.button!==MouseEventButton.Primary)return;const{canvasMouseMode:no,isPanDisabled:oo,isMultiSelectDisabled:io,state:so,isLassoSelectEnable:ao,graphController:lo}=to,uo=no===CanvasMouseMode.Pan&&!eo.ctrlKey&&!eo.shiftKey&&!eo.metaKey||((ro=so.activeKeys)===null||ro===void 0?void 0:ro.has(" "));!oo&&uo?dragPan(eo.nativeEvent,to):!io||ao&&!eo.ctrlKey&&!eo.metaKey?dragMultiSelect(eo.nativeEvent,to):lo.canvasClickOnce=!0};function isMouseButNotLeft(eo){return eo.pointerType==="mouse"&&eo.button!==MouseEventButton.Primary}const onNodePointerDown=(eo,to,ro)=>{eo.preventDefault();const{svgRef:no,isNodesDraggable:oo,getPositionFromEvent:io,isClickNodeToSelectDisabled:so,eventChannel:ao,dragThreshold:lo,rectRef:uo,isAutoAlignEnable:co,autoAlignThreshold:fo,graphController:ho}=ro;oo&&eo.stopPropagation();const po=isMouseButNotLeft(eo);if(so||po)return;no.current&&no.current.focus({preventScroll:!0});const go=checkIsMultiSelect(eo),vo=new DragNodeController(new PointerEventProvider(ho.getGlobalEventTarget(),eo.pointerId),io,uo);vo.onMove=({dx:bo,dy:xo,totalDX:_o,totalDY:Eo,e:So})=>{oo&&ao.trigger({type:GraphNodeEvent.Drag,node:to,dx:bo,dy:xo,rawEvent:So,isVisible:!isWithinThreshold(_o,Eo,lo),isAutoAlignEnable:co,autoAlignThreshold:fo})},vo.onEnd=({totalDX:bo,totalDY:xo,e:_o})=>{var Eo,So;ho.pointerId=null;const To=isWithinThreshold(bo,xo,lo);if((To||!oo)&&(ho.nodeClickOnce=to),ao.trigger({type:GraphNodeEvent.DragEnd,node:to,rawEvent:_o,isDragCanceled:To}),To){const wo=new MouseEvent("click",_o);(So=(Eo=eo.currentTarget)!==null&&Eo!==void 0?Eo:eo.target)===null||So===void 0||So.dispatchEvent(wo)}},ho.pointerId=eo.pointerId,eo.target instanceof Element&&eo.pointerType!=="mouse"&&eo.target.releasePointerCapture(eo.pointerId),ao.trigger({type:GraphNodeEvent.DragStart,node:to,rawEvent:eo,isMultiSelect:go}),vo.start(eo.nativeEvent)},useCanvasKeyboardEventHandlers=eo=>{const{featureControl:to,graphConfig:ro,setCurHoverNode:no,setCurHoverPort:oo,eventChannel:io}=eo,{isDeleteDisabled:so,isPasteDisabled:ao,isUndoEnabled:lo}=to;return reactExports.useMemo(()=>{const uo=new Map,co=()=>So=>{So.preventDefault(),So.stopPropagation(),!so&&(io.trigger({type:GraphCanvasEvent.Delete}),no(void 0),oo(void 0))};uo.set("delete",co()),uo.set("backspace",co());const fo=So=>{metaControl(So)&&(So.preventDefault(),So.stopPropagation(),io.trigger({type:GraphCanvasEvent.Copy}))};uo.set("c",fo);const ho=So=>{if(metaControl(So)){if(So.preventDefault(),So.stopPropagation(),ao)return;const To=ro.getClipboard().read();To&&io.trigger({type:GraphCanvasEvent.Paste,data:To})}};uo.set("v",ho);const po=So=>{lo&&metaControl(So)&&(So.preventDefault(),So.stopPropagation(),io.trigger({type:GraphCanvasEvent.Undo}))};lo&&uo.set("z",po);const go=So=>{lo&&metaControl(So)&&(So.preventDefault(),So.stopPropagation(),io.trigger({type:GraphCanvasEvent.Redo}))};lo&&uo.set("y",go);const vo=So=>{metaControl(So)&&(So.preventDefault(),So.stopPropagation(),io.trigger({type:GraphNodeEvent.SelectAll}))};uo.set("a",vo);const bo=So=>{So.preventDefault(),So.stopPropagation()},xo=So=>{So.preventDefault(),So.stopPropagation()},_o=So=>{So.preventDefault(),So.stopPropagation()},Eo=So=>{So.preventDefault(),So.stopPropagation()};return uo.set(" ",bo),uo.set("control",xo),uo.set("meta",_o),uo.set("shift",Eo),So=>{if(So.repeat)return;const To=So.key.toLowerCase(),wo=uo.get(To);wo&&wo.call(null,So)}},[io,ro,so,ao,lo,no,oo])};let prevMouseDownPortId,prevMouseDownPortTime;function useEventChannel({props:eo,dispatch:to,rectRef:ro,svgRef:no,containerRef:oo,featureControl:io,graphConfig:so,setFocusedWithoutMouse:ao,setCurHoverNode:lo,setCurHoverPort:uo,eventChannel:co,updateViewport:fo,graphController:ho}){const{dragThreshold:po=10,autoAlignThreshold:go=DEFAULT_AUTO_ALIGN_THRESHOLD,getPositionFromEvent:vo=defaultGetPositionFromEvent,canvasMouseMode:bo,edgeWillAdd:xo}=eo,{isNodesDraggable:_o,isAutoAlignEnable:Eo,isClickNodeToSelectDisabled:So,isPanDisabled:To,isMultiSelectDisabled:wo,isLassoSelectEnable:Co,isConnectDisabled:Oo,isPortHoverViewEnable:Ao,isNodeEditDisabled:Ro,isA11yEnable:No}=io,Mo=reactExports.useMemo(()=>animationFramed(to),[to]),Do=useCanvasKeyboardEventHandlers({featureControl:io,eventChannel:co,graphConfig:so,setCurHoverNode:lo,setCurHoverPort:uo}),jo=Jo=>{const Cs=ho.getData();if(Cs.nodes.size>0&&no.current){const Bs=Cs.head&&Cs.nodes.get(Cs.head);Bs&&focusItem(no,{node:Bs,port:void 0},Jo,co)}},Fo=Jo=>{switch(Jo.type){case GraphEdgeEvent.ConnectStart:case GraphEdgeEvent.ConnectMove:case GraphEdgeEvent.ConnectEnd:case GraphEdgeEvent.ConnectNavigate:case GraphEdgeEvent.Click:case GraphEdgeEvent.MouseEnter:case GraphEdgeEvent.MouseLeave:case GraphEdgeEvent.DoubleClick:to(Jo);break;case GraphEdgeEvent.ContextMenu:Jo.rawEvent.stopPropagation(),Jo.rawEvent.preventDefault(),to(Jo);break}},$o=Jo=>{var Cs,Bs;switch(Jo.type){case GraphCanvasEvent.ViewportResize:case GraphCanvasEvent.Drag:case GraphCanvasEvent.MouseWheelScroll:case GraphCanvasEvent.Zoom:case GraphCanvasEvent.Pinch:case GraphCanvasEvent.Click:case GraphCanvasEvent.SelectStart:case GraphCanvasEvent.SelectMove:case GraphCanvasEvent.SelectEnd:case GraphCanvasEvent.ResetSelection:case GraphCanvasEvent.Navigate:case GraphCanvasEvent.Paste:case GraphCanvasEvent.Undo:case GraphCanvasEvent.Redo:case GraphCanvasEvent.Delete:case GraphCanvasEvent.KeyUp:case GraphCanvasEvent.DraggingNodeFromItemPanelStart:case GraphCanvasEvent.DraggingNodeFromItemPanel:case GraphCanvasEvent.DraggingNodeFromItemPanelEnd:to(Jo);break;case GraphCanvasEvent.Copy:{const zs=filterSelectedItems(ho.getData());so.getClipboard().write(zs)}break;case GraphCanvasEvent.KeyDown:!Jo.rawEvent.repeat&&Jo.rawEvent.target===Jo.rawEvent.currentTarget&&!Jo.rawEvent.shiftKey&&Jo.rawEvent.key==="Tab"?(Jo.rawEvent.preventDefault(),Jo.rawEvent.stopPropagation(),ao(!0),jo(Jo.rawEvent)):Do(Jo.rawEvent),to(Jo);break;case GraphCanvasEvent.MouseDown:{ho.nodeClickOnce=null,(Cs=no.current)===null||Cs===void 0||Cs.focus({preventScroll:!0}),ao(!1);const zs=Jo.rawEvent;fo(),onContainerMouseDown(zs,{state:ho.state,canvasMouseMode:bo,isPanDisabled:To,isMultiSelectDisabled:wo,isLassoSelectEnable:Co,dragThreshold:po,containerRef:oo,getPositionFromEvent:defaultGetPositionFromEvent,eventChannel:co,graphController:ho})}break;case GraphCanvasEvent.MouseUp:if(ho.canvasClickOnce){ho.canvasClickOnce=!1;const zs=Jo.rawEvent;zs.target instanceof Node&&(!((Bs=no.current)===null||Bs===void 0)&&Bs.contains(zs.target))&&zs.target.nodeName==="svg"&&co.trigger({type:GraphCanvasEvent.Click,rawEvent:Jo.rawEvent})}break;case GraphCanvasEvent.ContextMenu:Jo.rawEvent.preventDefault(),Jo.rawEvent.stopPropagation(),to(Jo);break;case GraphCanvasEvent.MouseMove:{const zs=Jo.rawEvent;ho.setMouseClientPosition({x:zs.clientX,y:zs.clientY})}break;case GraphCanvasEvent.MouseLeave:ho.unsetMouseClientPosition(),ho.canvasClickOnce=!1;break;case GraphCanvasEvent.Blur:ao(!1);break}},Lo=Jo=>{const{node:Cs}=Jo,{isNodeHoverViewEnabled:Bs}=io;switch(ho.getBehavior()){case GraphBehavior.Connecting:case GraphBehavior.Default:Bs&&(lo(Cs.id),uo(void 0));break}to(Jo)},Ho=Jo=>{to(Jo),lo(void 0)},qo=Jo=>{Ro||(Jo.rawEvent.stopPropagation(),to(Jo))},Uo=Jo=>{if(!no||!No)return;const Cs=ho.getData(),{node:Bs}=Jo,zs=Jo.rawEvent;switch(zs.key){case"Tab":{zs.preventDefault(),zs.stopPropagation();const Ls=zs.shiftKey?getPrevItem(Cs,Bs):getNextItem(Cs,Bs);focusItem(no,Ls,zs,co)}break;case"ArrowUp":zs.preventDefault(),zs.stopPropagation(),focusUpNode(Cs,Bs.id,no,ho,zs,co);break;case"ArrowDown":zs.preventDefault(),zs.stopPropagation(),focusDownNode(Cs,Bs.id,no,ho,zs,co);break;case"ArrowLeft":zs.preventDefault(),zs.stopPropagation(),focusLeftNode(Cs,Bs.id,no,ho,zs,co);break;case"ArrowRight":zs.preventDefault(),zs.stopPropagation(),focusRightNode(Cs,Bs.id,no,ho,zs,co);break}},Yo=Jo=>{var Cs;switch(Jo.type){case GraphNodeEvent.ResizingStart:case GraphNodeEvent.Resizing:case GraphNodeEvent.ResizingEnd:case GraphNodeEvent.DragStart:case GraphNodeEvent.Drag:case GraphNodeEvent.DragEnd:case GraphNodeEvent.SelectAll:to(Jo);break;case GraphNodeEvent.PointerMove:Jo.rawEvent.pointerId===ho.pointerId&&Mo(Jo);break;case GraphNodeEvent.PointerDown:{if(ho.nodeClickOnce=null,ho.getBehavior()!==GraphBehavior.Default)return;const Bs=Jo.rawEvent;fo(),onNodePointerDown(Bs,Jo.node,{svgRef:no,rectRef:ro,isNodesDraggable:_o,isAutoAlignEnable:Eo,dragThreshold:po,getPositionFromEvent:vo,isClickNodeToSelectDisabled:So,autoAlignThreshold:go,eventChannel:co,graphController:ho})}break;case GraphNodeEvent.PointerEnter:Lo(Jo);break;case GraphNodeEvent.PointerLeave:Ho(Jo);break;case GraphNodeEvent.MouseDown:ho.nodeClickOnce=null,Jo.rawEvent.preventDefault(),_o&&Jo.rawEvent.stopPropagation(),ao(!1);break;case GraphNodeEvent.Click:if(((Cs=ho.nodeClickOnce)===null||Cs===void 0?void 0:Cs.id)===Jo.node.id){const{currentTarget:Bs}=Jo.rawEvent;Bs instanceof SVGElement&&Bs.focus({preventScroll:!0}),Jo.node=ho.nodeClickOnce,to(Jo),ho.nodeClickOnce=null}else Jo.intercepted=!0;break;case GraphNodeEvent.ContextMenu:Jo.rawEvent.preventDefault(),Jo.rawEvent.stopPropagation(),to(Jo);break;case GraphNodeEvent.DoubleClick:qo(Jo);break;case GraphNodeEvent.KeyDown:Uo(Jo);break}},Zo=reactExports.useCallback(Jo=>{const Cs=Jo.rawEvent,{node:Bs,port:zs}=Jo;if(ao(!1),Cs.stopPropagation(),Cs.preventDefault(),prevMouseDownPortId=`${Bs.id}:${zs.id}`,prevMouseDownPortTime=performance.now(),Oo||isMouseButNotLeft(Cs))return;fo();const Ls=ho.getGlobalEventTarget(),ga=new DragController(new PointerEventProvider(Ls,Cs.pointerId),vo);ga.onMove=({clientX:Js,clientY:Xs,e:$a})=>{co.trigger({type:GraphEdgeEvent.ConnectMove,rawEvent:$a,clientX:Js,clientY:Xs})},ga.onEnd=({e:Js,totalDY:Xs,totalDX:$a})=>{var Ll,Kl;const Xl=isWithinThreshold($a,Xs,po);if(co.trigger({type:GraphEdgeEvent.ConnectEnd,rawEvent:Js,edgeWillAdd:xo,isCancel:Xl}),ho.pointerId=null,Xl){const Nl=new MouseEvent("click",Js);(Kl=(Ll=Cs.currentTarget)!==null&&Ll!==void 0?Ll:Cs.target)===null||Kl===void 0||Kl.dispatchEvent(Nl)}},co.trigger({type:GraphEdgeEvent.ConnectStart,nodeId:Bs.id,portId:zs.id,rawEvent:Cs,clientPoint:{x:Cs.clientX,y:Cs.clientY}}),Cs.target instanceof Element&&Cs.pointerType!=="mouse"&&Cs.target.releasePointerCapture(Cs.pointerId),ho.pointerId=Cs.pointerId,ga.start(Cs.nativeEvent)},[xo,co,vo,ho,Oo,ao,fo]),_s=reactExports.useCallback(Jo=>{const Cs=Jo.rawEvent,{node:Bs,port:zs}=Jo;prevMouseDownPortId===`${Bs.id}:${zs.id}`&&performance.now()-(prevMouseDownPortTime||0)<500&&(prevMouseDownPortId=void 0,prevMouseDownPortTime=void 0,co.trigger({type:GraphPortEvent.Click,node:Bs,port:zs,rawEvent:Cs}))},[co]),Ss=Jo=>{switch(ho.getBehavior()){case GraphBehavior.Default:uo([Jo.node.id,Jo.port.id]);break}Ao&&uo([Jo.node.id,Jo.port.id]),Jo.rawEvent.pointerId===ho.pointerId&&to(Jo)},As=Jo=>{uo(void 0),to(Jo)},Ns=Jo=>{var Cs,Bs,zs;if(!No)return;const Ls=Jo.rawEvent;if(Ls.altKey&&(Ls.nativeEvent.code==="KeyC"||Ls.key==="c")){Ls.preventDefault(),Ls.stopPropagation(),co.trigger({type:GraphEdgeEvent.ConnectStart,nodeId:Jo.node.id,portId:Jo.port.id,rawEvent:Ls});return}const ga=ho.getData(),{node:Js,port:Xs}=Jo;switch(Ls.key){case"Tab":if(No&&ho.getBehavior()===GraphBehavior.Connecting)Ls.preventDefault(),Ls.stopPropagation(),co.trigger({type:GraphEdgeEvent.ConnectNavigate,rawEvent:Ls});else{const $a=Ls.shiftKey?getPrevItem(ga,Js,Xs):getNextItem(ga,Js,Xs);focusItem(no,$a,Ls,co)}break;case"ArrowUp":case"ArrowLeft":Ls.preventDefault(),Ls.stopPropagation(),focusPrevPort((Cs=Js.ports)!==null&&Cs!==void 0?Cs:[],Js,Xs.id,no,Ls,co);break;case"ArrowDown":case"ArrowRight":Ls.preventDefault(),Ls.stopPropagation(),focusNextPort((Bs=Js.ports)!==null&&Bs!==void 0?Bs:[],Js,Xs.id,no,Ls,co);break;case"g":Ls.preventDefault(),Ls.stopPropagation(),goToConnectedPort(ga,Js,Xs,no,Ls,co);break;case"Escape":ho.getBehavior()===GraphBehavior.Connecting&&(Ls.preventDefault(),Ls.stopPropagation(),no.current&&((zs=findDOMElement(no.current,{node:Js,port:Xs}))===null||zs===void 0||zs.blur()));break;case"Enter":Ls.preventDefault(),Ls.stopPropagation(),co.trigger({type:GraphEdgeEvent.ConnectEnd,rawEvent:Ls.nativeEvent,edgeWillAdd:xo,isCancel:!1});break}},ws=Jo=>{switch(Jo.type){case GraphPortEvent.Click:to(Jo);break;case GraphPortEvent.PointerDown:Zo(Jo);break;case GraphPortEvent.PointerUp:_s(Jo);break;case GraphPortEvent.PointerEnter:Ss(Jo);break;case GraphPortEvent.PointerLeave:As(Jo);break;case GraphPortEvent.ContextMenu:Jo.rawEvent.preventDefault(),Jo.rawEvent.stopPropagation(),to(Jo);break;case GraphPortEvent.Focus:Jo.rawEvent.stopPropagation(),to(Jo);break;case GraphPortEvent.Blur:ho.getBehavior()===GraphBehavior.Connecting&&co.trigger({type:GraphEdgeEvent.ConnectEnd,rawEvent:Jo.rawEvent.nativeEvent,edgeWillAdd:xo,isCancel:!0});break;case GraphPortEvent.KeyDown:Ns(Jo);break}},Ds=Jo=>{const Cs=handleBehaviorChange(ho.getBehavior(),Jo);switch(ho.setBehavior(Cs),Fo(Jo),$o(Jo),Yo(Jo),ws(Jo),Jo.type){case GraphMinimapEvent.Pan:case GraphScrollBarEvent.Scroll:case GraphContextMenuEvent.Open:case GraphContextMenuEvent.Close:to(Jo);break}};reactExports.useImperativeHandle(co.listenersRef,()=>Ds),reactExports.useImperativeHandle(co.externalHandlerRef,()=>eo.onEvent)}const useFeatureControl=eo=>reactExports.useMemo(()=>{const to=eo.has(GraphFeatures.NodeDraggable),ro=eo.has(GraphFeatures.NodeResizable),no=!eo.has(GraphFeatures.AutoFit),oo=!eo.has(GraphFeatures.PanCanvas),io=!eo.has(GraphFeatures.MultipleSelect),so=eo.has(GraphFeatures.LassoSelect),ao=eo.has(GraphFeatures.NodeHoverView),lo=!eo.has(GraphFeatures.ClickNodeToSelect),uo=!eo.has(GraphFeatures.AddNewEdges),co=eo.has(GraphFeatures.PortHoverView),fo=!eo.has(GraphFeatures.EditNode),ho=!eo.has(GraphFeatures.CanvasVerticalScrollable),po=!eo.has(GraphFeatures.CanvasHorizontalScrollable),go=eo.has(GraphFeatures.A11yFeatures),vo=eo.has(GraphFeatures.AutoAlign),bo=eo.has(GraphFeatures.CtrlKeyZoom),xo=eo.has(GraphFeatures.LimitBoundary),_o=!eo.has(GraphFeatures.AutoFit),Eo=eo.has(GraphFeatures.EditEdge),So=!eo.has(GraphFeatures.Delete),To=!eo.has(GraphFeatures.AddNewNodes)||!eo.has(GraphFeatures.AddNewEdges),wo=eo.has(GraphFeatures.UndoStack),Co=(!ho||!po||!oo)&&xo&&!eo.has(GraphFeatures.InvisibleScrollbar);return{isNodesDraggable:to,isNodeResizable:ro,isAutoFitDisabled:no,isPanDisabled:oo,isMultiSelectDisabled:io,isLassoSelectEnable:so,isNodeHoverViewEnabled:ao,isClickNodeToSelectDisabled:lo,isConnectDisabled:uo,isPortHoverViewEnable:co,isNodeEditDisabled:fo,isVerticalScrollDisabled:ho,isHorizontalScrollDisabled:po,isA11yEnable:go,isAutoAlignEnable:vo,isCtrlKeyZoomEnable:bo,isLimitBoundary:xo,isVirtualizationEnabled:_o,isEdgeEditable:Eo,isDeleteDisabled:So,isPasteDisabled:To,isUndoEnabled:wo,isScrollbarVisible:Co}},[eo]),emptyLine=()=>({x1:0,y1:0,x2:0,y2:0,visible:!1}),Line$1=eo=>{var to;const{line:ro,style:no}=eo,oo=Object.assign(Object.assign({strokeWidth:1},no),{stroke:ro.visible?(to=no==null?void 0:no.stroke)!==null&&to!==void 0?to:"#ea4300":"none"});return jsxRuntimeExports.jsx("line",{className:"auto-align-hint",x1:ro.x1,y1:ro.y1,x2:ro.x2,y2:ro.y2,style:oo})},AlignmentLines=reactExports.memo(({style:eo})=>{const to=useAlignmentLines();return jsxRuntimeExports.jsx(jsxRuntimeExports.Fragment,{children:to.map((ro,no)=>ro.visible?jsxRuntimeExports.jsx(Line$1,{line:ro,style:eo},no):null)})});AlignmentLines.displayName="AlignmentLines";const NodeFrame=eo=>{var to,ro;const no=reactExports.useContext(SlotsContext);return jsxRuntimeExports.jsx(jsxRuntimeExports.Fragment,{children:(ro=(to=no.renderNodeFrame)===null||to===void 0?void 0:to.call(no,eo))!==null&&ro!==void 0?ro:eo.children})},NodeResizeHandler=eo=>{var to,ro;const no=reactExports.useContext(SlotsContext);return jsxRuntimeExports.jsx(jsxRuntimeExports.Fragment,{children:(ro=(to=no.renderNodeResizeHandler)===null||to===void 0?void 0:to.call(no,eo))!==null&&ro!==void 0?ro:eo.children})},Slots={NodeFrame,NodeResizeHandler},AnimatingNodeGroup=eo=>{var to,ro;const{dummyNodes:no,graphData:oo}=eo,io=useGraphConfig(),{dWidth:so,dHeight:ao}=no,lo=(to=no.alignedDX)!==null&&to!==void 0?to:no.dx,uo=(ro=no.alignedDY)!==null&&ro!==void 0?ro:no.dy;return jsxRuntimeExports.jsx("g",{children:no.nodes.map(co=>{const fo=oo.nodes.get(co.id);if(!fo)return null;const ho=co.x+lo,po=co.y+uo,go=co.width+so,vo=co.height+ao,bo=getNodeConfig(fo,io);return bo!=null&&bo.renderDummy?bo.renderDummy(Object.assign(Object.assign({},fo.inner),{x:ho,y:po,width:go,height:vo})):jsxRuntimeExports.jsx(Slots.NodeFrame,Object.assign({height:vo,width:go,x:ho,y:po},{children:jsxRuntimeExports.jsx("rect",{transform:`translate(${ho},${po})`,height:vo,width:go,stroke:defaultColors.dummyNodeStroke,strokeDasharray:"4",fill:"none"},fo.id)}),`node-frame-${co.id}`)})})},ConnectingLine=eo=>{const{autoAttachLine:to,connectingLine:ro,styles:no}=eo,oo=(no==null?void 0:no.stroke)||defaultColors.primaryColor,io=(no==null?void 0:no.fill)||"none",so=(no==null?void 0:no.strokeDasharray)||"4,4",ao=ro.visible?oo:"none";return jsxRuntimeExports.jsxs("g",{children:[jsxRuntimeExports.jsx("defs",{children:jsxRuntimeExports.jsx("marker",Object.assign({id:"markerArrow",markerWidth:"10",markerHeight:"10",refX:"6",refY:"5",orient:"auto",markerUnits:"strokeWidth"},{children:jsxRuntimeExports.jsx("path",{d:"M0,0 L6,5 L0,10",style:{stroke:ao,fill:"none"}})}))}),jsxRuntimeExports.jsx("line",{x1:ro.x1,y1:ro.y1,x2:ro.x2,y2:ro.y2,style:{stroke:ao,fill:io,strokeDasharray:so},markerEnd:"url(#markerArrow)"}),jsxRuntimeExports.jsx("path",{d:getCurvePathD(to.x2,to.x1,to.y2,to.y1),style:{stroke:to.visible?oo:"none",fill:"none"}})]})},Connecting=reactExports.memo(eo=>{const{styles:to,graphConfig:ro,viewport:no,movingPoint:oo}=eo,{sourcePort:io,sourceNode:so,targetPort:ao,targetNode:lo}=useConnectingState();if(!so||!io)return null;const uo=so.getPortPosition(io.id,ro);let co,fo=!1;if(lo&&ao?(fo=!0,co=lo==null?void 0:lo.getPortPosition(ao.id,ro)):co=uo,!uo||!co)return null;const ho=transformPoint(uo.x,uo.y,no.transformMatrix),po=transformPoint(co.x,co.y,no.transformMatrix),go=oo?{x1:ho.x,y1:ho.y,x2:oo.x,y2:oo.y,visible:!fo}:emptyLine(),vo={x1:ho.x,y1:ho.y,x2:po.x,y2:po.y,visible:fo};return jsxRuntimeExports.jsx(ConnectingLine,{connectingLine:go,autoAttachLine:vo,styles:to})});Connecting.displayName="Connecting";const defaultStyle={position:"fixed",userSelect:"none"},GraphContextMenu=({state:eo,onClick:to})=>{var ro,no;const oo=reactExports.useRef(null),[io,so]=reactExports.useState(Object.assign({},defaultStyle));reactExports.useLayoutEffect(()=>{const fo=oo.current;if(!fo||!eo.contextMenuPosition)return;const{x:ho,y:po}=eo.contextMenuPosition,{clientWidth:go,clientHeight:vo}=document.documentElement,{width:bo,height:xo}=fo.getBoundingClientRect(),_o=Object.assign({},defaultStyle);ho+bo>=go?_o.right=0:_o.left=ho,po+xo>vo?_o.bottom=0:_o.top=po,so(_o)},[(ro=eo.contextMenuPosition)===null||ro===void 0?void 0:ro.x,(no=eo.contextMenuPosition)===null||no===void 0?void 0:no.y]);const ao=useContextMenuConfigContext(),[lo,uo]=reactExports.useState(jsxRuntimeExports.jsx(jsxRuntimeExports.Fragment,{}));reactExports.useEffect(()=>{const fo=eo.data.present;let ho=0,po=0,go=0;fo.nodes.forEach(bo=>{var xo;isSelected(bo)&&(ho+=1),(xo=bo.ports)===null||xo===void 0||xo.forEach(_o=>{isSelected(_o)&&(po+=1)})}),fo.edges.forEach(bo=>{isSelected(bo)&&(go+=1)});let vo;po+ho+go>1?vo=ao.getMenu(MenuType.Multi):po+ho+go===0?vo=ao.getMenu(MenuType.Canvas):ho===1?vo=ao.getMenu(MenuType.Node):po===1?vo=ao.getMenu(MenuType.Port):vo=ao.getMenu(MenuType.Edge),uo(vo)},[eo.data.present,ao]);const co=reactExports.useCallback(fo=>{fo.stopPropagation(),fo.preventDefault()},[]);return jsxRuntimeExports.jsx(jsxRuntimeExports.Fragment,{children:eo.contextMenuPosition&&jsxRuntimeExports.jsx("div",Object.assign({ref:oo,onClick:to,onContextMenu:co,role:"button",style:io},{children:lo}))})},Renderer=eo=>jsxRuntimeExports.jsx("rect",{height:eo.height,width:eo.width,fill:eo.group.fill}),defaultGroup={render:Renderer},Group=eo=>{var to;const{data:ro,group:no}=eo,oo=useGraphConfig(),{x:io,y:so,width:ao,height:lo}=reactExports.useMemo(()=>getGroupRect(no,ro.nodes,oo),[no,ro.nodes,oo]),uo=(to=oo.getGroupConfig(no))!==null&&to!==void 0?to:defaultGroup,co=`group-container-${no.id}`;return jsxRuntimeExports.jsx("g",Object.assign({"data-automation-id":co,transform:`translate(${io}, ${so})`},{children:uo.render({group:no,height:lo,width:ao})}),no.id)},GraphGroupsRenderer=eo=>jsxRuntimeExports.jsx("g",{children:reactExports.useMemo(()=>eo.groups.map(to=>jsxRuntimeExports.jsx(Group,{group:to,data:eo.data},to.id)),[eo.groups,eo.data])}),NodeTooltips=eo=>{const{node:to,viewport:ro}=eo,no=useGraphConfig();if(!to||!has$1(GraphNodeStatus.Activated)(to.status))return null;const oo=getNodeConfig(to,no);return oo!=null&&oo.renderTooltips?jsxRuntimeExports.jsx("div",Object.assign({className:"node-tooltips"},{children:oo.renderTooltips({model:to,viewport:ro})})):null},PortTooltips=eo=>{const to=useGraphConfig(),{parentNode:ro,port:no,viewport:oo}=eo;if(!has$1(GraphPortStatus.Activated)(no.status))return null;const so=to.getPortConfig(no);if(!so||!so.renderTooltips)return null;const ao=ro.getPortPosition(no.id,to);return ao?jsxRuntimeExports.jsx("div",Object.assign({className:"port-tooltips"},{children:jsxRuntimeExports.jsx(ConnectingStateContext.Consumer,{children:({sourceNode:lo,sourcePort:uo})=>so.renderTooltips&&so.renderTooltips(Object.assign({model:no,parentNode:ro,data:eo.data,anotherNode:lo,anotherPort:uo,viewport:oo},ao))})})):null};function useRefValue(eo){const to=reactExports.useRef(eo);return reactExports.useLayoutEffect(()=>{to.current=eo},[eo]),to}const SCROLL_BAR_WIDTH=10,wrapperCommonStyle={position:"absolute",cursor:"initial"},useStyles$i=createUseStyles({verticalScrollWrapper:Object.assign(Object.assign({},wrapperCommonStyle),{height:"100%",width:SCROLL_BAR_WIDTH,top:0,right:0}),horizontalScrollWrapper:Object.assign(Object.assign({},wrapperCommonStyle),{height:SCROLL_BAR_WIDTH,width:"100%",bottom:0,left:0}),verticalScrollStyle:eo=>({height:eo.scrollbarLayout.verticalScrollHeight,width:"100%",backgroundColor:defaultColors.scrollbarColor,position:"absolute",top:0,right:0,transform:`translateY(${eo.scrollbarLayout.verticalScrollTop}px)`}),horizontalScrollStyle:eo=>({width:eo.scrollbarLayout.horizontalScrollWidth-SCROLL_BAR_WIDTH,height:"100%",backgroundColor:defaultColors.scrollbarColor,position:"absolute",left:0,bottom:0,transform:`translateX(${eo.scrollbarLayout.horizontalScrollLeft}px)`})}),Scrollbar=eo=>{const{vertical:to=!0,horizontal:ro=!0,offsetLimit:no,eventChannel:oo,viewport:io}=eo,so=useGraphController(),ao=getScrollbarLayout(io,no),lo=useStyles$i({scrollbarLayout:ao}),uo=useRefValue(ao);function co(ho){ho.preventDefault(),ho.stopPropagation();const{height:po}=io.rect,go=new DragController(new MouseMoveEventProvider(so.getGlobalEventTarget()),defaultGetPositionFromEvent);go.onMove=({dy:vo,e:bo})=>{const{totalContentHeight:xo}=uo.current,_o=-(vo*xo)/po;oo.trigger({type:GraphScrollBarEvent.Scroll,rawEvent:bo,dx:0,dy:_o})},go.onEnd=()=>{oo.trigger({type:GraphScrollBarEvent.ScrollEnd})},go.start(ho.nativeEvent),oo.trigger({type:GraphScrollBarEvent.ScrollStart})}function fo(ho){ho.preventDefault(),ho.stopPropagation();const{width:po}=io.rect,go=new DragController(new MouseMoveEventProvider(so.getGlobalEventTarget()),defaultGetPositionFromEvent);go.onMove=({dx:vo,e:bo})=>{const{totalContentWidth:xo}=uo.current,_o=-(vo*xo)/po;oo.trigger({type:GraphScrollBarEvent.Scroll,rawEvent:bo,dx:_o,dy:0})},go.onEnd=()=>{oo.trigger({type:GraphScrollBarEvent.ScrollEnd})},go.start(ho.nativeEvent),oo.trigger({type:GraphScrollBarEvent.ScrollStart})}return jsxRuntimeExports.jsxs(jsxRuntimeExports.Fragment,{children:[to&&jsxRuntimeExports.jsx("div",Object.assign({className:lo.verticalScrollWrapper},{children:jsxRuntimeExports.jsx("div",{className:lo.verticalScrollStyle,onMouseDown:co,role:"button","aria-label":"vertical scrollbar","aria-roledescription":"vertical scrollbar",id:"canvas-vertical-scrollbar"})})),ro&&jsxRuntimeExports.jsx("div",Object.assign({className:lo.horizontalScrollWrapper},{children:jsxRuntimeExports.jsx("div",{className:lo.horizontalScrollStyle,onMouseDown:fo,role:"button","aria-label":"horizontal scrollbar","aria-roledescription":"horizontal scrollbar",id:"canvas-horizontal-scrollbar"})}))]})};function getTotalContentHeight(eo,to){const{minY:ro,maxY:no}=to;return eo+no-ro}function getTotalContentWidth(eo,to){const{minX:ro,maxX:no}=to;return eo+no-ro}function getScrollbarLayout(eo,to){const{rect:ro,transformMatrix:no}=eo,oo=getTotalContentHeight(ro.height,to),io=getTotalContentWidth(ro.width,to);return{totalContentHeight:oo,totalContentWidth:io,verticalScrollHeight:ro.height*ro.height/oo,horizontalScrollWidth:ro.width*ro.width/io,verticalScrollTop:(to.maxY-no[5])*ro.height/oo,horizontalScrollLeft:(to.maxX-no[4])*ro.width/io}}const Transform=({matrix:eo,children:to})=>{const ro=reactExports.useMemo(()=>`matrix(${eo.join(" ")})`,eo);return jsxRuntimeExports.jsx("g",Object.assign({transform:ro},{children:to}))};function getHintPoints(eo,to,{minX:ro,minY:no,maxX:oo,maxY:io},so,ao,lo,uo){return eo.x===to.x?{x:eo.x,y:eo.y<to.y?io:no}:eo.x<to.x?eo.y<to.y?so<=io?{x:oo,y:so}:{x:ao,y:io}:so>=no?{x:oo,y:so}:{x:lo,y:no}:eo.y<to.y?ao>ro?{x:ao,y:io}:{x:ro,y:uo}:uo>no?{x:ro,y:uo}:{x:lo,y:no}}const GraphEdge=reactExports.memo(eo=>{var to;const{edge:ro,data:no,eventChannel:oo,source:io,target:so,graphId:ao}=eo,lo=useGraphConfig(),uo=useVirtualization(),{viewport:co,renderedArea:fo,visibleArea:ho}=uo,po=Oo=>Ao=>{Ao.persist(),oo.trigger({type:Oo,edge:ro,rawEvent:Ao})},go=isPointInRect(fo,io),vo=isPointInRect(fo,so),bo=go&&vo;if(reactExports.useLayoutEffect(()=>{bo&&uo.renderedEdges.add(ro.id)},[uo]),!bo)return null;const xo=lo.getEdgeConfig(ro);if(!xo)return Debug.warn(`invalid edge ${JSON.stringify(ro)}`),null;if(!xo.render)return Debug.warn(`Missing "render" method in edge config ${JSON.stringify(ro)}`),null;const _o=isPointInRect(ho,io),Eo=isPointInRect(ho,so);let So=xo.render({model:ro,data:no,x1:io.x,y1:io.y,x2:so.x,y2:so.y,viewport:co});if(has$1(GraphEdgeStatus.ConnectedToSelected)(ro.status)&&(!_o||!Eo)){const Oo=getLinearFunction(io.x,io.y,so.x,so.y),Ao=getLinearFunction(io.y,io.x,so.y,so.x),Ro=_o?io:so,No=_o?so:io,Mo=Oo(ho.maxX),Do=Ao(ho.maxY),jo=Ao(ho.minY),Fo=Oo(ho.minX),$o=getHintPoints(Ro,No,ho,Mo,Do,jo,Fo);_o&&xo.renderWithTargetHint?So=xo.renderWithTargetHint({model:ro,data:no,x1:io.x,y1:io.y,x2:$o.x,y2:$o.y,viewport:co}):Eo&&xo.renderWithSourceHint&&(So=xo.renderWithSourceHint({model:ro,data:no,x1:$o.x,y1:$o.y,x2:so.x,y2:so.y,viewport:co}))}const To=getEdgeUid(ao,ro),wo=`edge-container-${ro.id}`,Co=(to=ro.automationId)!==null&&to!==void 0?to:wo;return jsxRuntimeExports.jsx("g",Object.assign({id:To,onClick:po(GraphEdgeEvent.Click),onDoubleClick:po(GraphEdgeEvent.DoubleClick),onMouseDown:po(GraphEdgeEvent.MouseDown),onMouseUp:po(GraphEdgeEvent.MouseUp),onMouseEnter:po(GraphEdgeEvent.MouseEnter),onMouseLeave:po(GraphEdgeEvent.MouseLeave),onContextMenu:po(GraphEdgeEvent.ContextMenu),onMouseMove:po(GraphEdgeEvent.MouseMove),onMouseOver:po(GraphEdgeEvent.MouseOver),onMouseOut:po(GraphEdgeEvent.MouseOut),onFocus:void 0,onBlur:void 0,className:wo,"data-automation-id":Co},{children:So}))});function compareEqual(eo,to){return eo.node===to.node}const EdgeChampNodeRender=reactExports.memo(eo=>{var to,ro;const{node:no,data:oo}=eo,io=__rest(eo,["node","data"]),so=useGraphConfig(),ao=[],lo=no.valueCount;for(let fo=0;fo<lo;fo+=1){const ho=no.getValue(fo),po=(to=oo.nodes.get(ho.source))===null||to===void 0?void 0:to.getPortPosition(ho.sourcePortId,so),go=(ro=oo.nodes.get(ho.target))===null||ro===void 0?void 0:ro.getPortPosition(ho.targetPortId,so);po&&go&&ao.push(reactExports.createElement(GraphEdge,Object.assign({},io,{key:ho.id,data:oo,edge:ho,source:po,target:go})))}const uo=[],co=no.nodeCount;for(let fo=0;fo<co;fo+=1){const ho=no.getNode(fo);ho.type===NodeType$1.Bitmap?uo.push(jsxRuntimeExports.jsx(EdgeChampNodeRender,Object.assign({},eo,{node:ho}),no.getHash(fo))):uo.push(jsxRuntimeExports.jsx(EdgeHashCollisionNodeRender,Object.assign({},eo,{node:ho}),ho.getHash()))}return jsxRuntimeExports.jsxs(jsxRuntimeExports.Fragment,{children:[ao,uo]})},compareEqual);EdgeChampNodeRender.displayName="EdgeChampNodeRender";const EdgeHashCollisionNodeRender=reactExports.memo(eo=>{const{data:to,node:ro}=eo,no=__rest(eo,["data","node"]),oo=useGraphConfig();return jsxRuntimeExports.jsx(jsxRuntimeExports.Fragment,{children:ro.values.map(io=>{var so,ao;const lo=(so=to.nodes.get(io.source))===null||so===void 0?void 0:so.getPortPosition(io.sourcePortId,oo),uo=(ao=to.nodes.get(io.target))===null||ao===void 0?void 0:ao.getPortPosition(io.targetPortId,oo);return lo&&uo?reactExports.createElement(GraphEdge,Object.assign({},no,{key:io.id,data:to,edge:io,source:lo,target:uo})):null})})},compareEqual);EdgeHashCollisionNodeRender.displayName="EdgeHashCollisionNodeRender";const EdgeTree=eo=>{const{tree:to}=eo,ro=__rest(eo,["tree"]);return jsxRuntimeExports.jsx(EdgeChampNodeRender,Object.assign({},ro,{node:to.root}))},styles$1=mergeStyleSets({svg:[{position:"absolute",overflow:"hidden",top:0,left:0,width:"100%",height:"100%"},{"&:focus":{outline:"none"}}],node:{cursor:"move"},container:{position:"relative",width:"100%",height:"100%",overflow:"hidden",touchAction:"none"},buttonA11Y:{opacity:0,width:0,height:0,overflow:"hidden"},addingNodeSvg:{zIndex:1e6,position:"fixed",left:0,top:0,width:"100%",height:"100%"},moduleItem:{userSelect:"none",cursor:"pointer"},minimap:{height:320,width:320,userSelect:"none",touchAction:"none"},minimapSvg:{position:"absolute",top:0,left:0,width:"100%",height:"100%"}}),GraphNode=eo=>{var to;const{node:ro,eventChannel:no,getNodeAriaLabel:oo,viewport:io,graphId:so}=eo,ao=useGraphConfig(),lo=getNodeConfig(ro,ao),uo=po=>go=>{go.persist();const vo={type:po,node:ro,rawEvent:go};no.trigger(vo)},co=po=>{po.persist();const go=checkIsMultiSelect(po);no.trigger({type:GraphNodeEvent.Click,rawEvent:po,isMultiSelect:go,node:ro})},fo=getNodeUid(so,ro),ho=(to=ro.automationId)!==null&&to!==void 0?to:getNodeAutomationId(ro);return lo!=null&&lo.render?jsxRuntimeExports.jsx("g",Object.assign({id:fo,focusable:"true",tabIndex:0,className:styles$1.node,onPointerDown:uo(GraphNodeEvent.PointerDown),onPointerEnter:uo(GraphNodeEvent.PointerEnter),onPointerMove:uo(GraphNodeEvent.PointerMove),onPointerLeave:uo(GraphNodeEvent.PointerLeave),onPointerUp:uo(GraphNodeEvent.PointerUp),onDoubleClick:uo(GraphNodeEvent.DoubleClick),onMouseDown:uo(GraphNodeEvent.MouseDown),onMouseUp:uo(GraphNodeEvent.MouseUp),onMouseEnter:uo(GraphNodeEvent.MouseEnter),onMouseLeave:uo(GraphNodeEvent.MouseLeave),onContextMenu:uo(GraphNodeEvent.ContextMenu),onMouseMove:uo(GraphNodeEvent.MouseMove),onMouseOver:uo(GraphNodeEvent.MouseOver),onMouseOut:uo(GraphNodeEvent.MouseOut),onClick:co,onKeyDown:uo(GraphNodeEvent.KeyDown),"aria-label":oo(ro),role:"group","aria-roledescription":"node","data-automation-id":ho},{children:jsxRuntimeExports.jsx("g",Object.assign({className:"node-box-container"},{children:lo.render({model:ro,viewport:io})}))})):(Debug.warn('Missing "render" method in node config'),null)},RESIZE_POINT_WIDTH=8,RESIZE_POINT_HEIGHT=8,NodeAnchor=({x:eo,y:to,cursor:ro,onMouseDown:no})=>jsxRuntimeExports.jsx(Slots.NodeResizeHandler,Object.assign({x:eo,y:to,cursor:ro,onMouseDown:no},{children:jsxRuntimeExports.jsx("rect",{x:eo,y:to,height:RESIZE_POINT_HEIGHT,width:RESIZE_POINT_WIDTH,stroke:defaultColors.controlPointColor,fill:"transparent",cursor:ro,onMouseDown:no})})),BBOX_PADDING=15,GraphNodeAnchors=eo=>{var to,ro;const{node:no,getMouseDown:oo}=eo,io=useGraphConfig(),so=getNodeConfig(no,io),ao=(to=so==null?void 0:so.getMinWidth(no))!==null&&to!==void 0?to:0,lo=(ro=so==null?void 0:so.getMinHeight(no))!==null&&ro!==void 0?ro:0,uo=getRectHeight(so,no),co=getRectWidth(so,no),fo=oo((Eo,So)=>{const To=Math.min(Eo,co-ao),wo=Math.min(So,uo-lo);return{dx:+To,dy:+wo,dWidth:-To,dHeight:-wo}}),ho=oo((Eo,So)=>{const To=Math.min(So,uo-lo);return{dy:+To,dHeight:-To}}),po=oo((Eo,So)=>{const To=Math.max(Eo,ao-co),wo=Math.min(So,uo-lo);return{dy:+wo,dWidth:+To,dHeight:-wo}}),go=oo(Eo=>({dWidth:+Math.max(Eo,ao-co)})),vo=oo((Eo,So)=>{const To=Math.max(Eo,ao-co),wo=Math.max(So,lo-uo);return{dWidth:+To,dHeight:+wo}}),bo=oo((Eo,So)=>({dHeight:+Math.max(So,lo-uo)})),xo=oo((Eo,So)=>{const To=Math.min(Eo,co-ao),wo=Math.max(So,lo-uo);return{dx:+To,dWidth:-To,dHeight:+wo}}),_o=oo(Eo=>{const So=Math.min(Eo,co-ao);return{dx:So,dWidth:-So}});return jsxRuntimeExports.jsxs(jsxRuntimeExports.Fragment,{children:[jsxRuntimeExports.jsx(NodeAnchor,{cursor:"nw-resize",x:no.x-BBOX_PADDING,y:no.y-BBOX_PADDING-RESIZE_POINT_HEIGHT,onMouseDown:fo},"nw-resize"),jsxRuntimeExports.jsx(NodeAnchor,{x:no.x+co/2-RESIZE_POINT_WIDTH/2,y:no.y-BBOX_PADDING-RESIZE_POINT_HEIGHT,cursor:"n-resize",onMouseDown:ho},"n-resize"),jsxRuntimeExports.jsx(NodeAnchor,{x:no.x+co+BBOX_PADDING-RESIZE_POINT_WIDTH,y:no.y-BBOX_PADDING-RESIZE_POINT_HEIGHT,cursor:"ne-resize",onMouseDown:po},"ne-resize"),jsxRuntimeExports.jsx(NodeAnchor,{x:no.x+co+BBOX_PADDING-RESIZE_POINT_WIDTH,y:no.y+uo/2-RESIZE_POINT_HEIGHT/2,cursor:"e-resize",onMouseDown:go},"e-resize"),jsxRuntimeExports.jsx(NodeAnchor,{x:no.x+co+BBOX_PADDING-RESIZE_POINT_WIDTH,y:no.y+uo+BBOX_PADDING,cursor:"se-resize",onMouseDown:vo},"se-resize"),jsxRuntimeExports.jsx(NodeAnchor,{x:no.x+co/2-RESIZE_POINT_WIDTH/2,y:no.y+uo+BBOX_PADDING,cursor:"s-resize",onMouseDown:bo},"s-resize"),jsxRuntimeExports.jsx(NodeAnchor,{x:no.x-BBOX_PADDING,y:no.y+uo+BBOX_PADDING,cursor:"sw-resize",onMouseDown:xo},"sw-resize"),jsxRuntimeExports.jsx(NodeAnchor,{x:no.x-BBOX_PADDING,y:no.y+uo/2-RESIZE_POINT_HEIGHT/2,cursor:"w-resize",onMouseDown:_o},"w-resize")]})},GraphOneNodePorts=eo=>{const{data:to,node:ro,getPortAriaLabel:no,eventChannel:oo,viewport:io,graphId:so}=eo,ao=useGraphConfig(),lo=ro.ports;if(!lo)return null;const uo=(co,fo)=>ho=>{ho.persist(),oo.trigger({type:co,node:ro,port:fo,rawEvent:ho})};return jsxRuntimeExports.jsx("g",{children:lo.map(co=>{var fo;const ho=ao.getPortConfig(co);if(!ho||!ho.render)return Debug.warn(`invalid port config ${ro.id}:${ro.name} - ${co.id}:${co.name}`),null;const po=ro.getPortPosition(co.id,ao);if(!po)return null;const go=getPortUid(so,ro,co),vo=(fo=co.automationId)!==null&&fo!==void 0?fo:getPortAutomationId(co,ro);return jsxRuntimeExports.jsx("g",Object.assign({id:go,tabIndex:0,focusable:"true",onPointerDown:uo(GraphPortEvent.PointerDown,co),onPointerUp:uo(GraphPortEvent.PointerUp,co),onDoubleClick:uo(GraphPortEvent.DoubleClick,co),onMouseDown:uo(GraphPortEvent.MouseDown,co),onMouseUp:uo(GraphPortEvent.MouseUp,co),onContextMenu:uo(GraphPortEvent.ContextMenu,co),onPointerEnter:uo(GraphPortEvent.PointerEnter,co),onPointerLeave:uo(GraphPortEvent.PointerLeave,co),onMouseMove:uo(GraphPortEvent.MouseMove,co),onMouseOver:uo(GraphPortEvent.MouseOver,co),onMouseOut:uo(GraphPortEvent.MouseOut,co),onFocus:uo(GraphPortEvent.Focus,co),onBlur:uo(GraphPortEvent.Blur,co),onKeyDown:uo(GraphPortEvent.KeyDown,co),onClick:uo(GraphPortEvent.Click,co),"aria-label":no(to,ro,co),role:"group","aria-roledescription":"port","data-automation-id":vo},{children:jsxRuntimeExports.jsx(ConnectingStateContext.Consumer,{children:({sourceNode:bo,sourcePort:xo})=>ho==null?void 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jsxRuntimeExports.jsxs(jsxRuntimeExports.Fragment,{children:[to,ro]})});ReadonlyNodeTreeNode.displayName="ReadonlyNodeTreeNode";var DELETE="delete",SHIFT=5,SIZE=1<<SHIFT,MASK=SIZE-1,NOT_SET={};function MakeRef(){return{value:!1}}function SetRef(eo){eo&&(eo.value=!0)}function OwnerID(){}function ensureSize(eo){return eo.size===void 0&&(eo.size=eo.__iterate(returnTrue)),eo.size}function wrapIndex(eo,to){if(typeof to!="number"){var ro=to>>>0;if(""+ro!==to||ro===4294967295)return NaN;to=ro}return to<0?ensureSize(eo)+to:to}function returnTrue(){return!0}function wholeSlice(eo,to,ro){return(eo===0&&!isNeg(eo)||ro!==void 0&&eo<=-ro)&&(to===void 0||ro!==void 0&&to>=ro)}function resolveBegin(eo,to){return resolveIndex(eo,to,0)}function resolveEnd(eo,to){return resolveIndex(eo,to,to)}function resolveIndex(eo,to,ro){return eo===void 0?ro:isNeg(eo)?to===1/0?to:Math.max(0,to+eo)|0:to===void 0||to===eo?eo:Math.min(to,eo)|0}function isNeg(eo){return eo<0||eo===0&&1/eo===-1/0}var IS_COLLECTION_SYMBOL="@@__IMMUTABLE_ITERABLE__@@";function isCollection(eo){return!!(eo&&eo[IS_COLLECTION_SYMBOL])}var IS_KEYED_SYMBOL="@@__IMMUTABLE_KEYED__@@";function isKeyed(eo){return!!(eo&&eo[IS_KEYED_SYMBOL])}var IS_INDEXED_SYMBOL="@@__IMMUTABLE_INDEXED__@@";function isIndexed(eo){return!!(eo&&eo[IS_INDEXED_SYMBOL])}function isAssociative(eo){return isKeyed(eo)||isIndexed(eo)}var Collection$1=function(to){return isCollection(to)?to:Seq(to)},KeyedCollection=function(eo){function to(ro){return isKeyed(ro)?ro:KeyedSeq(ro)}return eo&&(to.__proto__=eo),to.prototype=Object.create(eo&&eo.prototype),to.prototype.constructor=to,to}(Collection$1),IndexedCollection=function(eo){function to(ro){return isIndexed(ro)?ro:IndexedSeq(ro)}return eo&&(to.__proto__=eo),to.prototype=Object.create(eo&&eo.prototype),to.prototype.constructor=to,to}(Collection$1),SetCollection=function(eo){function to(ro){return isCollection(ro)&&!isAssociative(ro)?ro:SetSeq(ro)}return eo&&(to.__proto__=eo),to.prototype=Object.create(eo&&eo.prototype),to.prototype.constructor=to,to}(Collection$1);Collection$1.Keyed=KeyedCollection;Collection$1.Indexed=IndexedCollection;Collection$1.Set=SetCollection;var IS_SEQ_SYMBOL="@@__IMMUTABLE_SEQ__@@";function isSeq(eo){return!!(eo&&eo[IS_SEQ_SYMBOL])}var IS_RECORD_SYMBOL="@@__IMMUTABLE_RECORD__@@";function isRecord(eo){return!!(eo&&eo[IS_RECORD_SYMBOL])}function isImmutable(eo){return isCollection(eo)||isRecord(eo)}var IS_ORDERED_SYMBOL="@@__IMMUTABLE_ORDERED__@@";function isOrdered(eo){return!!(eo&&eo[IS_ORDERED_SYMBOL])}var ITERATE_KEYS=0,ITERATE_VALUES=1,ITERATE_ENTRIES=2,REAL_ITERATOR_SYMBOL=typeof 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isEntriesIterable(eo){var to=getIteratorFn(eo);return to&&to===eo.entries}function isKeysIterable(eo){var to=getIteratorFn(eo);return to&&to===eo.keys}var hasOwnProperty$1=Object.prototype.hasOwnProperty;function isArrayLike$1(eo){return Array.isArray(eo)||typeof eo=="string"?!0:eo&&typeof eo=="object"&&Number.isInteger(eo.length)&&eo.length>=0&&(eo.length===0?Object.keys(eo).length===1:eo.hasOwnProperty(eo.length-1))}var Seq=function(eo){function to(ro){return ro==null?emptySequence():isImmutable(ro)?ro.toSeq():seqFromValue(ro)}return eo&&(to.__proto__=eo),to.prototype=Object.create(eo&&eo.prototype),to.prototype.constructor=to,to.prototype.toSeq=function(){return this},to.prototype.toString=function(){return this.__toString("Seq {","}")},to.prototype.cacheResult=function(){return!this._cache&&this.__iterateUncached&&(this._cache=this.entrySeq().toArray(),this.size=this._cache.length),this},to.prototype.__iterate=function(no,oo){var io=this._cache;if(io){for(var so=io.length,ao=0;ao!==so;){var lo=io[oo?so-++ao:ao++];if(no(lo[1],lo[0],this)===!1)break}return ao}return this.__iterateUncached(no,oo)},to.prototype.__iterator=function(no,oo){var io=this._cache;if(io){var so=io.length,ao=0;return new Iterator(function(){if(ao===so)return iteratorDone();var lo=io[oo?so-++ao:ao++];return iteratorValue(no,lo[0],lo[1])})}return this.__iteratorUncached(no,oo)},to}(Collection$1),KeyedSeq=function(eo){function to(ro){return ro==null?emptySequence().toKeyedSeq():isCollection(ro)?isKeyed(ro)?ro.toSeq():ro.fromEntrySeq():isRecord(ro)?ro.toSeq():keyedSeqFromValue(ro)}return eo&&(to.__proto__=eo),to.prototype=Object.create(eo&&eo.prototype),to.prototype.constructor=to,to.prototype.toKeyedSeq=function(){return this},to}(Seq),IndexedSeq=function(eo){function to(ro){return ro==null?emptySequence():isCollection(ro)?isKeyed(ro)?ro.entrySeq():ro.toIndexedSeq():isRecord(ro)?ro.toSeq().entrySeq():indexedSeqFromValue(ro)}return eo&&(to.__proto__=eo),to.prototype=Object.create(eo&&eo.prototype),to.prototype.constructor=to,to.of=function(){return to(arguments)},to.prototype.toIndexedSeq=function(){return this},to.prototype.toString=function(){return this.__toString("Seq [","]")},to}(Seq),SetSeq=function(eo){function to(ro){return(isCollection(ro)&&!isAssociative(ro)?ro:IndexedSeq(ro)).toSetSeq()}return eo&&(to.__proto__=eo),to.prototype=Object.create(eo&&eo.prototype),to.prototype.constructor=to,to.of=function(){return to(arguments)},to.prototype.toSetSeq=function(){return this},to}(Seq);Seq.isSeq=isSeq;Seq.Keyed=KeyedSeq;Seq.Set=SetSeq;Seq.Indexed=IndexedSeq;Seq.prototype[IS_SEQ_SYMBOL]=!0;var ArraySeq=function(eo){function to(ro){this._array=ro,this.size=ro.length}return eo&&(to.__proto__=eo),to.prototype=Object.create(eo&&eo.prototype),to.prototype.constructor=to,to.prototype.get=function(no,oo){return this.has(no)?this._array[wrapIndex(this,no)]:oo},to.prototype.__iterate=function(no,oo){for(var io=this._array,so=io.length,ao=0;ao!==so;){var lo=oo?so-++ao:ao++;if(no(io[lo],lo,this)===!1)break}return ao},to.prototype.__iterator=function(no,oo){var io=this._array,so=io.length,ao=0;return new Iterator(function(){if(ao===so)return iteratorDone();var lo=oo?so-++ao:ao++;return iteratorValue(no,lo,io[lo])})},to}(IndexedSeq),ObjectSeq=function(eo){function to(ro){var no=Object.keys(ro).concat(Object.getOwnPropertySymbols?Object.getOwnPropertySymbols(ro):[]);this._object=ro,this._keys=no,this.size=no.length}return eo&&(to.__proto__=eo),to.prototype=Object.create(eo&&eo.prototype),to.prototype.constructor=to,to.prototype.get=function(no,oo){return oo!==void 0&&!this.has(no)?oo:this._object[no]},to.prototype.has=function(no){return hasOwnProperty$1.call(this._object,no)},to.prototype.__iterate=function(no,oo){for(var io=this._object,so=this._keys,ao=so.length,lo=0;lo!==ao;){var uo=so[oo?ao-++lo:lo++];if(no(io[uo],uo,this)===!1)break}return lo},to.prototype.__iterator=function(no,oo){var io=this._object,so=this._keys,ao=so.length,lo=0;return new Iterator(function(){if(lo===ao)return iteratorDone();var uo=so[oo?ao-++lo:lo++];return iteratorValue(no,uo,io[uo])})},to}(KeyedSeq);ObjectSeq.prototype[IS_ORDERED_SYMBOL]=!0;var CollectionSeq=function(eo){function to(ro){this._collection=ro,this.size=ro.length||ro.size}return eo&&(to.__proto__=eo),to.prototype=Object.create(eo&&eo.prototype),to.prototype.constructor=to,to.prototype.__iterateUncached=function(no,oo){if(oo)return this.cacheResult().__iterate(no,oo);var io=this._collection,so=getIterator(io),ao=0;if(isIterator(so))for(var lo;!(lo=so.next()).done&&no(lo.value,ao++,this)!==!1;);return ao},to.prototype.__iteratorUncached=function(no,oo){if(oo)return this.cacheResult().__iterator(no,oo);var io=this._collection,so=getIterator(io);if(!isIterator(so))return new Iterator(iteratorDone);var ao=0;return new Iterator(function(){var lo=so.next();return lo.done?lo:iteratorValue(no,ao++,lo.value)})},to}(IndexedSeq),EMPTY_SEQ;function emptySequence(){return EMPTY_SEQ||(EMPTY_SEQ=new ArraySeq([]))}function keyedSeqFromValue(eo){var to=maybeIndexedSeqFromValue(eo);if(to)return to.fromEntrySeq();if(typeof eo=="object")return new ObjectSeq(eo);throw new TypeError("Expected Array or collection object of [k, v] entries, or keyed object: "+eo)}function indexedSeqFromValue(eo){var to=maybeIndexedSeqFromValue(eo);if(to)return to;throw new TypeError("Expected Array or collection object of values: "+eo)}function seqFromValue(eo){var to=maybeIndexedSeqFromValue(eo);if(to)return isEntriesIterable(eo)?to.fromEntrySeq():isKeysIterable(eo)?to.toSetSeq():to;if(typeof eo=="object")return new ObjectSeq(eo);throw new TypeError("Expected Array or collection object of values, or keyed object: "+eo)}function maybeIndexedSeqFromValue(eo){return isArrayLike$1(eo)?new ArraySeq(eo):hasIterator(eo)?new CollectionSeq(eo):void 0}var IS_MAP_SYMBOL="@@__IMMUTABLE_MAP__@@";function isMap(eo){return!!(eo&&eo[IS_MAP_SYMBOL])}function isOrderedMap(eo){return isMap(eo)&&isOrdered(eo)}function isValueObject(eo){return!!(eo&&typeof eo.equals=="function"&&typeof eo.hashCode=="function")}function is$1(eo,to){if(eo===to||eo!==eo&&to!==to)return!0;if(!eo||!to)return!1;if(typeof eo.valueOf=="function"&&typeof to.valueOf=="function"){if(eo=eo.valueOf(),to=to.valueOf(),eo===to||eo!==eo&&to!==to)return!0;if(!eo||!to)return!1}return!!(isValueObject(eo)&&isValueObject(to)&&eo.equals(to))}var imul=typeof Math.imul=="function"&&Math.imul(4294967295,2)===-2?Math.imul:function(to,ro){to|=0,ro|=0;var no=to&65535,oo=ro&65535;return no*oo+((to>>>16)*oo+no*(ro>>>16)<<16>>>0)|0};function smi(eo){return eo>>>1&1073741824|eo&3221225471}var defaultValueOf=Object.prototype.valueOf;function hash$2(eo){if(eo==null)return hashNullish(eo);if(typeof eo.hashCode=="function")return smi(eo.hashCode(eo));var to=valueOf(eo);if(to==null)return hashNullish(to);switch(typeof to){case"boolean":return to?1108378657:1108378656;case"number":return hashNumber(to);case"string":return to.length>STRING_HASH_CACHE_MIN_STRLEN?cachedHashString(to):hashString(to);case"object":case"function":return hashJSObj(to);case"symbol":return hashSymbol(to);default:if(typeof to.toString=="function")return hashString(to.toString());throw new Error("Value type "+typeof to+" cannot be hashed.")}}function hashNullish(eo){return eo===null?1108378658:1108378659}function hashNumber(eo){if(eo!==eo||eo===1/0)return 0;var to=eo|0;for(to!==eo&&(to^=eo*4294967295);eo>4294967295;)eo/=4294967295,to^=eo;return smi(to)}function cachedHashString(eo){var to=stringHashCache[eo];return to===void 0&&(to=hashString(eo),STRING_HASH_CACHE_SIZE===STRING_HASH_CACHE_MAX_SIZE&&(STRING_HASH_CACHE_SIZE=0,stringHashCache={}),STRING_HASH_CACHE_SIZE++,stringHashCache[eo]=to),to}function hashString(eo){for(var to=0,ro=0;ro<eo.length;ro++)to=31*to+eo.charCodeAt(ro)|0;return smi(to)}function hashSymbol(eo){var to=symbolMap[eo];return to!==void 0||(to=nextHash(),symbolMap[eo]=to),to}function hashJSObj(eo){var to;if(usingWeakMap&&(to=weakMap.get(eo),to!==void 0)||(to=eo[UID_HASH_KEY],to!==void 0)||!canDefineProperty&&(to=eo.propertyIsEnumerable&&eo.propertyIsEnumerable[UID_HASH_KEY],to!==void 0||(to=getIENodeHash(eo),to!==void 0)))return to;if(to=nextHash(),usingWeakMap)weakMap.set(eo,to);else{if(isExtensible!==void 0&&isExtensible(eo)===!1)throw new Error("Non-extensible objects are not allowed as keys.");if(canDefineProperty)Object.defineProperty(eo,UID_HASH_KEY,{enumerable:!1,configurable:!1,writable:!1,value:to});else if(eo.propertyIsEnumerable!==void 0&&eo.propertyIsEnumerable===eo.constructor.prototype.propertyIsEnumerable)eo.propertyIsEnumerable=function(){return this.constructor.prototype.propertyIsEnumerable.apply(this,arguments)},eo.propertyIsEnumerable[UID_HASH_KEY]=to;else if(eo.nodeType!==void 0)eo[UID_HASH_KEY]=to;else throw new Error("Unable to set a non-enumerable property on object.")}return to}var isExtensible=Object.isExtensible,canDefineProperty=function(){try{return Object.defineProperty({},"@",{}),!0}catch{return!1}}();function getIENodeHash(eo){if(eo&&eo.nodeType>0)switch(eo.nodeType){case 1:return eo.uniqueID;case 9:return eo.documentElement&&eo.documentElement.uniqueID}}function valueOf(eo){return eo.valueOf!==defaultValueOf&&typeof eo.valueOf=="function"?eo.valueOf(eo):eo}function nextHash(){var eo=++_objHashUID;return _objHashUID&1073741824&&(_objHashUID=0),eo}var usingWeakMap=typeof WeakMap=="function",weakMap;usingWeakMap&&(weakMap=new WeakMap);var symbolMap=Object.create(null),_objHashUID=0,UID_HASH_KEY="__immutablehash__";typeof Symbol=="function"&&(UID_HASH_KEY=Symbol(UID_HASH_KEY));var STRING_HASH_CACHE_MIN_STRLEN=16,STRING_HASH_CACHE_MAX_SIZE=255,STRING_HASH_CACHE_SIZE=0,stringHashCache={},ToKeyedSequence=function(eo){function to(ro,no){this._iter=ro,this._useKeys=no,this.size=ro.size}return eo&&(to.__proto__=eo),to.prototype=Object.create(eo&&eo.prototype),to.prototype.constructor=to,to.prototype.get=function(no,oo){return this._iter.get(no,oo)},to.prototype.has=function(no){return this._iter.has(no)},to.prototype.valueSeq=function(){return this._iter.valueSeq()},to.prototype.reverse=function(){var no=this,oo=reverseFactory(this,!0);return this._useKeys||(oo.valueSeq=function(){return no._iter.toSeq().reverse()}),oo},to.prototype.map=function(no,oo){var io=this,so=mapFactory(this,no,oo);return this._useKeys||(so.valueSeq=function(){return io._iter.toSeq().map(no,oo)}),so},to.prototype.__iterate=function(no,oo){var io=this;return this._iter.__iterate(function(so,ao){return no(so,ao,io)},oo)},to.prototype.__iterator=function(no,oo){return this._iter.__iterator(no,oo)},to}(KeyedSeq);ToKeyedSequence.prototype[IS_ORDERED_SYMBOL]=!0;var ToIndexedSequence=function(eo){function to(ro){this._iter=ro,this.size=ro.size}return eo&&(to.__proto__=eo),to.prototype=Object.create(eo&&eo.prototype),to.prototype.constructor=to,to.prototype.includes=function(no){return this._iter.includes(no)},to.prototype.__iterate=function(no,oo){var io=this,so=0;return oo&&ensureSize(this),this._iter.__iterate(function(ao){return no(ao,oo?io.size-++so:so++,io)},oo)},to.prototype.__iterator=function(no,oo){var io=this,so=this._iter.__iterator(ITERATE_VALUES,oo),ao=0;return oo&&ensureSize(this),new Iterator(function(){var lo=so.next();return lo.done?lo:iteratorValue(no,oo?io.size-++ao:ao++,lo.value,lo)})},to}(IndexedSeq),ToSetSequence=function(eo){function to(ro){this._iter=ro,this.size=ro.size}return eo&&(to.__proto__=eo),to.prototype=Object.create(eo&&eo.prototype),to.prototype.constructor=to,to.prototype.has=function(no){return this._iter.includes(no)},to.prototype.__iterate=function(no,oo){var io=this;return this._iter.__iterate(function(so){return no(so,so,io)},oo)},to.prototype.__iterator=function(no,oo){var io=this._iter.__iterator(ITERATE_VALUES,oo);return new Iterator(function(){var so=io.next();return so.done?so:iteratorValue(no,so.value,so.value,so)})},to}(SetSeq),FromEntriesSequence=function(eo){function to(ro){this._iter=ro,this.size=ro.size}return eo&&(to.__proto__=eo),to.prototype=Object.create(eo&&eo.prototype),to.prototype.constructor=to,to.prototype.entrySeq=function(){return this._iter.toSeq()},to.prototype.__iterate=function(no,oo){var io=this;return this._iter.__iterate(function(so){if(so){validateEntry(so);var ao=isCollection(so);return no(ao?so.get(1):so[1],ao?so.get(0):so[0],io)}},oo)},to.prototype.__iterator=function(no,oo){var io=this._iter.__iterator(ITERATE_VALUES,oo);return new Iterator(function(){for(;;){var so=io.next();if(so.done)return so;var ao=so.value;if(ao){validateEntry(ao);var lo=isCollection(ao);return iteratorValue(no,lo?ao.get(0):ao[0],lo?ao.get(1):ao[1],so)}}})},to}(KeyedSeq);ToIndexedSequence.prototype.cacheResult=ToKeyedSequence.prototype.cacheResult=ToSetSequence.prototype.cacheResult=FromEntriesSequence.prototype.cacheResult=cacheResultThrough;function flipFactory(eo){var to=makeSequence(eo);return to._iter=eo,to.size=eo.size,to.flip=function(){return eo},to.reverse=function(){var ro=eo.reverse.apply(this);return ro.flip=function(){return eo.reverse()},ro},to.has=function(ro){return eo.includes(ro)},to.includes=function(ro){return eo.has(ro)},to.cacheResult=cacheResultThrough,to.__iterateUncached=function(ro,no){var oo=this;return eo.__iterate(function(io,so){return ro(so,io,oo)!==!1},no)},to.__iteratorUncached=function(ro,no){if(ro===ITERATE_ENTRIES){var oo=eo.__iterator(ro,no);return new Iterator(function(){var io=oo.next();if(!io.done){var so=io.value[0];io.value[0]=io.value[1],io.value[1]=so}return io})}return eo.__iterator(ro===ITERATE_VALUES?ITERATE_KEYS:ITERATE_VALUES,no)},to}function mapFactory(eo,to,ro){var no=makeSequence(eo);return no.size=eo.size,no.has=function(oo){return eo.has(oo)},no.get=function(oo,io){var so=eo.get(oo,NOT_SET);return so===NOT_SET?io:to.call(ro,so,oo,eo)},no.__iterateUncached=function(oo,io){var so=this;return eo.__iterate(function(ao,lo,uo){return oo(to.call(ro,ao,lo,uo),lo,so)!==!1},io)},no.__iteratorUncached=function(oo,io){var so=eo.__iterator(ITERATE_ENTRIES,io);return new Iterator(function(){var ao=so.next();if(ao.done)return ao;var lo=ao.value,uo=lo[0];return iteratorValue(oo,uo,to.call(ro,lo[1],uo,eo),ao)})},no}function reverseFactory(eo,to){var ro=this,no=makeSequence(eo);return no._iter=eo,no.size=eo.size,no.reverse=function(){return eo},eo.flip&&(no.flip=function(){var oo=flipFactory(eo);return oo.reverse=function(){return eo.flip()},oo}),no.get=function(oo,io){return eo.get(to?oo:-1-oo,io)},no.has=function(oo){return eo.has(to?oo:-1-oo)},no.includes=function(oo){return eo.includes(oo)},no.cacheResult=cacheResultThrough,no.__iterate=function(oo,io){var so=this,ao=0;return io&&ensureSize(eo),eo.__iterate(function(lo,uo){return oo(lo,to?uo:io?so.size-++ao:ao++,so)},!io)},no.__iterator=function(oo,io){var so=0;io&&ensureSize(eo);var ao=eo.__iterator(ITERATE_ENTRIES,!io);return new Iterator(function(){var lo=ao.next();if(lo.done)return lo;var uo=lo.value;return iteratorValue(oo,to?uo[0]:io?ro.size-++so:so++,uo[1],lo)})},no}function filterFactory(eo,to,ro,no){var oo=makeSequence(eo);return no&&(oo.has=function(io){var so=eo.get(io,NOT_SET);return so!==NOT_SET&&!!to.call(ro,so,io,eo)},oo.get=function(io,so){var ao=eo.get(io,NOT_SET);return ao!==NOT_SET&&to.call(ro,ao,io,eo)?ao:so}),oo.__iterateUncached=function(io,so){var ao=this,lo=0;return eo.__iterate(function(uo,co,fo){if(to.call(ro,uo,co,fo))return lo++,io(uo,no?co:lo-1,ao)},so),lo},oo.__iteratorUncached=function(io,so){var ao=eo.__iterator(ITERATE_ENTRIES,so),lo=0;return new Iterator(function(){for(;;){var uo=ao.next();if(uo.done)return uo;var co=uo.value,fo=co[0],ho=co[1];if(to.call(ro,ho,fo,eo))return iteratorValue(io,no?fo:lo++,ho,uo)}})},oo}function countByFactory(eo,to,ro){var no=Map$1().asMutable();return eo.__iterate(function(oo,io){no.update(to.call(ro,oo,io,eo),0,function(so){return so+1})}),no.asImmutable()}function groupByFactory(eo,to,ro){var no=isKeyed(eo),oo=(isOrdered(eo)?OrderedMap():Map$1()).asMutable();eo.__iterate(function(so,ao){oo.update(to.call(ro,so,ao,eo),function(lo){return lo=lo||[],lo.push(no?[ao,so]:so),lo})});var io=collectionClass(eo);return oo.map(function(so){return reify(eo,io(so))}).asImmutable()}function partitionFactory(eo,to,ro){var no=isKeyed(eo),oo=[[],[]];eo.__iterate(function(so,ao){oo[to.call(ro,so,ao,eo)?1:0].push(no?[ao,so]:so)});var io=collectionClass(eo);return oo.map(function(so){return reify(eo,io(so))})}function sliceFactory(eo,to,ro,no){var oo=eo.size;if(wholeSlice(to,ro,oo))return eo;var io=resolveBegin(to,oo),so=resolveEnd(ro,oo);if(io!==io||so!==so)return sliceFactory(eo.toSeq().cacheResult(),to,ro,no);var ao=so-io,lo;ao===ao&&(lo=ao<0?0:ao);var uo=makeSequence(eo);return uo.size=lo===0?lo:eo.size&&lo||void 0,!no&&isSeq(eo)&&lo>=0&&(uo.get=function(co,fo){return co=wrapIndex(this,co),co>=0&&co<lo?eo.get(co+io,fo):fo}),uo.__iterateUncached=function(co,fo){var ho=this;if(lo===0)return 0;if(fo)return this.cacheResult().__iterate(co,fo);var po=0,go=!0,vo=0;return eo.__iterate(function(bo,xo){if(!(go&&(go=po++<io)))return vo++,co(bo,no?xo:vo-1,ho)!==!1&&vo!==lo}),vo},uo.__iteratorUncached=function(co,fo){if(lo!==0&&fo)return this.cacheResult().__iterator(co,fo);if(lo===0)return new Iterator(iteratorDone);var ho=eo.__iterator(co,fo),po=0,go=0;return new Iterator(function(){for(;po++<io;)ho.next();if(++go>lo)return iteratorDone();var vo=ho.next();return no||co===ITERATE_VALUES||vo.done?vo:co===ITERATE_KEYS?iteratorValue(co,go-1,void 0,vo):iteratorValue(co,go-1,vo.value[1],vo)})},uo}function takeWhileFactory(eo,to,ro){var no=makeSequence(eo);return no.__iterateUncached=function(oo,io){var so=this;if(io)return this.cacheResult().__iterate(oo,io);var ao=0;return eo.__iterate(function(lo,uo,co){return to.call(ro,lo,uo,co)&&++ao&&oo(lo,uo,so)}),ao},no.__iteratorUncached=function(oo,io){var so=this;if(io)return this.cacheResult().__iterator(oo,io);var ao=eo.__iterator(ITERATE_ENTRIES,io),lo=!0;return new Iterator(function(){if(!lo)return iteratorDone();var uo=ao.next();if(uo.done)return uo;var co=uo.value,fo=co[0],ho=co[1];return to.call(ro,ho,fo,so)?oo===ITERATE_ENTRIES?uo:iteratorValue(oo,fo,ho,uo):(lo=!1,iteratorDone())})},no}function skipWhileFactory(eo,to,ro,no){var oo=makeSequence(eo);return oo.__iterateUncached=function(io,so){var ao=this;if(so)return this.cacheResult().__iterate(io,so);var lo=!0,uo=0;return eo.__iterate(function(co,fo,ho){if(!(lo&&(lo=to.call(ro,co,fo,ho))))return uo++,io(co,no?fo:uo-1,ao)}),uo},oo.__iteratorUncached=function(io,so){var ao=this;if(so)return this.cacheResult().__iterator(io,so);var lo=eo.__iterator(ITERATE_ENTRIES,so),uo=!0,co=0;return new Iterator(function(){var fo,ho,po;do{if(fo=lo.next(),fo.done)return no||io===ITERATE_VALUES?fo:io===ITERATE_KEYS?iteratorValue(io,co++,void 0,fo):iteratorValue(io,co++,fo.value[1],fo);var go=fo.value;ho=go[0],po=go[1],uo&&(uo=to.call(ro,po,ho,ao))}while(uo);return io===ITERATE_ENTRIES?fo:iteratorValue(io,ho,po,fo)})},oo}function concatFactory(eo,to){var ro=isKeyed(eo),no=[eo].concat(to).map(function(so){return isCollection(so)?ro&&(so=KeyedCollection(so)):so=ro?keyedSeqFromValue(so):indexedSeqFromValue(Array.isArray(so)?so:[so]),so}).filter(function(so){return so.size!==0});if(no.length===0)return eo;if(no.length===1){var oo=no[0];if(oo===eo||ro&&isKeyed(oo)||isIndexed(eo)&&isIndexed(oo))return oo}var io=new ArraySeq(no);return ro?io=io.toKeyedSeq():isIndexed(eo)||(io=io.toSetSeq()),io=io.flatten(!0),io.size=no.reduce(function(so,ao){if(so!==void 0){var lo=ao.size;if(lo!==void 0)return so+lo}},0),io}function flattenFactory(eo,to,ro){var no=makeSequence(eo);return no.__iterateUncached=function(oo,io){if(io)return this.cacheResult().__iterate(oo,io);var so=0,ao=!1;function lo(uo,co){uo.__iterate(function(fo,ho){return(!to||co<to)&&isCollection(fo)?lo(fo,co+1):(so++,oo(fo,ro?ho:so-1,no)===!1&&(ao=!0)),!ao},io)}return lo(eo,0),so},no.__iteratorUncached=function(oo,io){if(io)return this.cacheResult().__iterator(oo,io);var so=eo.__iterator(oo,io),ao=[],lo=0;return new Iterator(function(){for(;so;){var uo=so.next();if(uo.done!==!1){so=ao.pop();continue}var co=uo.value;if(oo===ITERATE_ENTRIES&&(co=co[1]),(!to||ao.length<to)&&isCollection(co))ao.push(so),so=co.__iterator(oo,io);else return ro?uo:iteratorValue(oo,lo++,co,uo)}return iteratorDone()})},no}function flatMapFactory(eo,to,ro){var no=collectionClass(eo);return eo.toSeq().map(function(oo,io){return no(to.call(ro,oo,io,eo))}).flatten(!0)}function interposeFactory(eo,to){var ro=makeSequence(eo);return ro.size=eo.size&&eo.size*2-1,ro.__iterateUncached=function(no,oo){var io=this,so=0;return eo.__iterate(function(ao){return(!so||no(to,so++,io)!==!1)&&no(ao,so++,io)!==!1},oo),so},ro.__iteratorUncached=function(no,oo){var io=eo.__iterator(ITERATE_VALUES,oo),so=0,ao;return new Iterator(function(){return(!ao||so%2)&&(ao=io.next(),ao.done)?ao:so%2?iteratorValue(no,so++,to):iteratorValue(no,so++,ao.value,ao)})},ro}function sortFactory(eo,to,ro){to||(to=defaultComparator);var no=isKeyed(eo),oo=0,io=eo.toSeq().map(function(so,ao){return[ao,so,oo++,ro?ro(so,ao,eo):so]}).valueSeq().toArray();return io.sort(function(so,ao){return to(so[3],ao[3])||so[2]-ao[2]}).forEach(no?function(so,ao){io[ao].length=2}:function(so,ao){io[ao]=so[1]}),no?KeyedSeq(io):isIndexed(eo)?IndexedSeq(io):SetSeq(io)}function maxFactory(eo,to,ro){if(to||(to=defaultComparator),ro){var no=eo.toSeq().map(function(oo,io){return[oo,ro(oo,io,eo)]}).reduce(function(oo,io){return maxCompare(to,oo[1],io[1])?io:oo});return no&&no[0]}return eo.reduce(function(oo,io){return maxCompare(to,oo,io)?io:oo})}function maxCompare(eo,to,ro){var no=eo(ro,to);return no===0&&ro!==to&&(ro==null||ro!==ro)||no>0}function zipWithFactory(eo,to,ro,no){var oo=makeSequence(eo),io=new ArraySeq(ro).map(function(so){return so.size});return oo.size=no?io.max():io.min(),oo.__iterate=function(so,ao){for(var lo=this.__iterator(ITERATE_VALUES,ao),uo,co=0;!(uo=lo.next()).done&&so(uo.value,co++,this)!==!1;);return co},oo.__iteratorUncached=function(so,ao){var lo=ro.map(function(fo){return fo=Collection$1(fo),getIterator(ao?fo.reverse():fo)}),uo=0,co=!1;return new Iterator(function(){var fo;return co||(fo=lo.map(function(ho){return ho.next()}),co=no?fo.every(function(ho){return ho.done}):fo.some(function(ho){return ho.done})),co?iteratorDone():iteratorValue(so,uo++,to.apply(null,fo.map(function(ho){return ho.value})))})},oo}function reify(eo,to){return eo===to?eo:isSeq(eo)?to:eo.constructor(to)}function validateEntry(eo){if(eo!==Object(eo))throw new TypeError("Expected [K, V] tuple: "+eo)}function collectionClass(eo){return isKeyed(eo)?KeyedCollection:isIndexed(eo)?IndexedCollection:SetCollection}function makeSequence(eo){return Object.create((isKeyed(eo)?KeyedSeq:isIndexed(eo)?IndexedSeq:SetSeq).prototype)}function cacheResultThrough(){return this._iter.cacheResult?(this._iter.cacheResult(),this.size=this._iter.size,this):Seq.prototype.cacheResult.call(this)}function defaultComparator(eo,to){return eo===void 0&&to===void 0?0:eo===void 0?1:to===void 0?-1:eo>to?1:eo<to?-1:0}function arrCopy(eo,to){to=to||0;for(var ro=Math.max(0,eo.length-to),no=new Array(ro),oo=0;oo<ro;oo++)no[oo]=eo[oo+to];return no}function invariant$1(eo,to){if(!eo)throw new Error(to)}function assertNotInfinite(eo){invariant$1(eo!==1/0,"Cannot perform this action with an infinite size.")}function coerceKeyPath(eo){if(isArrayLike$1(eo)&&typeof eo!="string")return eo;if(isOrdered(eo))return eo.toArray();throw new TypeError("Invalid keyPath: expected Ordered Collection or Array: "+eo)}var toString=Object.prototype.toString;function isPlainObject(eo){if(!eo||typeof eo!="object"||toString.call(eo)!=="[object Object]")return!1;var to=Object.getPrototypeOf(eo);if(to===null)return!0;for(var ro=to,no=Object.getPrototypeOf(to);no!==null;)ro=no,no=Object.getPrototypeOf(ro);return ro===to}function isDataStructure(eo){return typeof eo=="object"&&(isImmutable(eo)||Array.isArray(eo)||isPlainObject(eo))}function quoteString(eo){try{return typeof eo=="string"?JSON.stringify(eo):String(eo)}catch{return JSON.stringify(eo)}}function has(eo,to){return isImmutable(eo)?eo.has(to):isDataStructure(eo)&&hasOwnProperty$1.call(eo,to)}function get(eo,to,ro){return isImmutable(eo)?eo.get(to,ro):has(eo,to)?typeof eo.get=="function"?eo.get(to):eo[to]:ro}function shallowCopy(eo){if(Array.isArray(eo))return arrCopy(eo);var to={};for(var ro in eo)hasOwnProperty$1.call(eo,ro)&&(to[ro]=eo[ro]);return to}function remove$1(eo,to){if(!isDataStructure(eo))throw new TypeError("Cannot update non-data-structure value: "+eo);if(isImmutable(eo)){if(!eo.remove)throw new TypeError("Cannot update immutable value without .remove() method: "+eo);return eo.remove(to)}if(!hasOwnProperty$1.call(eo,to))return eo;var ro=shallowCopy(eo);return Array.isArray(ro)?ro.splice(to,1):delete ro[to],ro}function set(eo,to,ro){if(!isDataStructure(eo))throw new TypeError("Cannot update non-data-structure value: "+eo);if(isImmutable(eo)){if(!eo.set)throw new TypeError("Cannot update immutable value without .set() method: "+eo);return eo.set(to,ro)}if(hasOwnProperty$1.call(eo,to)&&ro===eo[to])return eo;var no=shallowCopy(eo);return no[to]=ro,no}function updateIn$1(eo,to,ro,no){no||(no=ro,ro=void 0);var oo=updateInDeeply(isImmutable(eo),eo,coerceKeyPath(to),0,ro,no);return oo===NOT_SET?ro:oo}function updateInDeeply(eo,to,ro,no,oo,io){var so=to===NOT_SET;if(no===ro.length){var ao=so?oo:to,lo=io(ao);return lo===ao?to:lo}if(!so&&!isDataStructure(to))throw new TypeError("Cannot update within non-data-structure value in path ["+ro.slice(0,no).map(quoteString)+"]: "+to);var uo=ro[no],co=so?NOT_SET:get(to,uo,NOT_SET),fo=updateInDeeply(co===NOT_SET?eo:isImmutable(co),co,ro,no+1,oo,io);return fo===co?to:fo===NOT_SET?remove$1(to,uo):set(so?eo?emptyMap():{}:to,uo,fo)}function setIn$1(eo,to,ro){return updateIn$1(eo,to,NOT_SET,function(){return ro})}function setIn(eo,to){return setIn$1(this,eo,to)}function removeIn(eo,to){return updateIn$1(eo,to,function(){return NOT_SET})}function deleteIn(eo){return removeIn(this,eo)}function update$1(eo,to,ro,no){return updateIn$1(eo,[to],ro,no)}function update(eo,to,ro){return arguments.length===1?eo(this):update$1(this,eo,to,ro)}function updateIn(eo,to,ro){return updateIn$1(this,eo,to,ro)}function merge$1$1(){for(var eo=[],to=arguments.length;to--;)eo[to]=arguments[to];return mergeIntoKeyedWith(this,eo)}function mergeWith$1(eo){for(var to=[],ro=arguments.length-1;ro-- >0;)to[ro]=arguments[ro+1];if(typeof eo!="function")throw new TypeError("Invalid merger function: "+eo);return mergeIntoKeyedWith(this,to,eo)}function mergeIntoKeyedWith(eo,to,ro){for(var no=[],oo=0;oo<to.length;oo++){var io=KeyedCollection(to[oo]);io.size!==0&&no.push(io)}return no.length===0?eo:eo.toSeq().size===0&&!eo.__ownerID&&no.length===1?eo.constructor(no[0]):eo.withMutations(function(so){for(var ao=ro?function(uo,co){update$1(so,co,NOT_SET,function(fo){return fo===NOT_SET?uo:ro(fo,uo,co)})}:function(uo,co){so.set(co,uo)},lo=0;lo<no.length;lo++)no[lo].forEach(ao)})}function mergeDeepWithSources(eo,to,ro){return mergeWithSources(eo,to,deepMergerWith(ro))}function mergeWithSources(eo,to,ro){if(!isDataStructure(eo))throw new TypeError("Cannot merge into non-data-structure value: "+eo);if(isImmutable(eo))return typeof ro=="function"&&eo.mergeWith?eo.mergeWith.apply(eo,[ro].concat(to)):eo.merge?eo.merge.apply(eo,to):eo.concat.apply(eo,to);for(var no=Array.isArray(eo),oo=eo,io=no?IndexedCollection:KeyedCollection,so=no?function(lo){oo===eo&&(oo=shallowCopy(oo)),oo.push(lo)}:function(lo,uo){var co=hasOwnProperty$1.call(oo,uo),fo=co&&ro?ro(oo[uo],lo,uo):lo;(!co||fo!==oo[uo])&&(oo===eo&&(oo=shallowCopy(oo)),oo[uo]=fo)},ao=0;ao<to.length;ao++)io(to[ao]).forEach(so);return oo}function deepMergerWith(eo){function to(ro,no,oo){return isDataStructure(ro)&&isDataStructure(no)&&areMergeable(ro,no)?mergeWithSources(ro,[no],to):eo?eo(ro,no,oo):no}return to}function areMergeable(eo,to){var ro=Seq(eo),no=Seq(to);return isIndexed(ro)===isIndexed(no)&&isKeyed(ro)===isKeyed(no)}function mergeDeep(){for(var eo=[],to=arguments.length;to--;)eo[to]=arguments[to];return mergeDeepWithSources(this,eo)}function mergeDeepWith(eo){for(var to=[],ro=arguments.length-1;ro-- >0;)to[ro]=arguments[ro+1];return mergeDeepWithSources(this,to,eo)}function mergeIn(eo){for(var to=[],ro=arguments.length-1;ro-- >0;)to[ro]=arguments[ro+1];return updateIn$1(this,eo,emptyMap(),function(no){return mergeWithSources(no,to)})}function mergeDeepIn(eo){for(var to=[],ro=arguments.length-1;ro-- >0;)to[ro]=arguments[ro+1];return updateIn$1(this,eo,emptyMap(),function(no){return mergeDeepWithSources(no,to)})}function withMutations(eo){var to=this.asMutable();return eo(to),to.wasAltered()?to.__ensureOwner(this.__ownerID):this}function asMutable(){return this.__ownerID?this:this.__ensureOwner(new OwnerID)}function asImmutable(){return this.__ensureOwner()}function wasAltered(){return this.__altered}var Map$1=function(eo){function to(ro){return ro==null?emptyMap():isMap(ro)&&!isOrdered(ro)?ro:emptyMap().withMutations(function(no){var oo=eo(ro);assertNotInfinite(oo.size),oo.forEach(function(io,so){return no.set(so,io)})})}return eo&&(to.__proto__=eo),to.prototype=Object.create(eo&&eo.prototype),to.prototype.constructor=to,to.of=function(){for(var no=[],oo=arguments.length;oo--;)no[oo]=arguments[oo];return emptyMap().withMutations(function(io){for(var so=0;so<no.length;so+=2){if(so+1>=no.length)throw new Error("Missing value for key: "+no[so]);io.set(no[so],no[so+1])}})},to.prototype.toString=function(){return this.__toString("Map {","}")},to.prototype.get=function(no,oo){return this._root?this._root.get(0,void 0,no,oo):oo},to.prototype.set=function(no,oo){return updateMap(this,no,oo)},to.prototype.remove=function(no){return updateMap(this,no,NOT_SET)},to.prototype.deleteAll=function(no){var oo=Collection$1(no);return oo.size===0?this:this.withMutations(function(io){oo.forEach(function(so){return io.remove(so)})})},to.prototype.clear=function(){return this.size===0?this:this.__ownerID?(this.size=0,this._root=null,this.__hash=void 0,this.__altered=!0,this):emptyMap()},to.prototype.sort=function(no){return OrderedMap(sortFactory(this,no))},to.prototype.sortBy=function(no,oo){return OrderedMap(sortFactory(this,oo,no))},to.prototype.map=function(no,oo){var io=this;return this.withMutations(function(so){so.forEach(function(ao,lo){so.set(lo,no.call(oo,ao,lo,io))})})},to.prototype.__iterator=function(no,oo){return new MapIterator(this,no,oo)},to.prototype.__iterate=function(no,oo){var io=this,so=0;return this._root&&this._root.iterate(function(ao){return so++,no(ao[1],ao[0],io)},oo),so},to.prototype.__ensureOwner=function(no){return no===this.__ownerID?this:no?makeMap(this.size,this._root,no,this.__hash):this.size===0?emptyMap():(this.__ownerID=no,this.__altered=!1,this)},to}(KeyedCollection);Map$1.isMap=isMap;var MapPrototype=Map$1.prototype;MapPrototype[IS_MAP_SYMBOL]=!0;MapPrototype[DELETE]=MapPrototype.remove;MapPrototype.removeAll=MapPrototype.deleteAll;MapPrototype.setIn=setIn;MapPrototype.removeIn=MapPrototype.deleteIn=deleteIn;MapPrototype.update=update;MapPrototype.updateIn=updateIn;MapPrototype.merge=MapPrototype.concat=merge$1$1;MapPrototype.mergeWith=mergeWith$1;MapPrototype.mergeDeep=mergeDeep;MapPrototype.mergeDeepWith=mergeDeepWith;MapPrototype.mergeIn=mergeIn;MapPrototype.mergeDeepIn=mergeDeepIn;MapPrototype.withMutations=withMutations;MapPrototype.wasAltered=wasAltered;MapPrototype.asImmutable=asImmutable;MapPrototype["@@transducer/init"]=MapPrototype.asMutable=asMutable;MapPrototype["@@transducer/step"]=function(eo,to){return eo.set(to[0],to[1])};MapPrototype["@@transducer/result"]=function(eo){return eo.asImmutable()};var ArrayMapNode=function(to,ro){this.ownerID=to,this.entries=ro};ArrayMapNode.prototype.get=function(to,ro,no,oo){for(var io=this.entries,so=0,ao=io.length;so<ao;so++)if(is$1(no,io[so][0]))return io[so][1];return oo};ArrayMapNode.prototype.update=function(to,ro,no,oo,io,so,ao){for(var lo=io===NOT_SET,uo=this.entries,co=0,fo=uo.length;co<fo&&!is$1(oo,uo[co][0]);co++);var ho=co<fo;if(ho?uo[co][1]===io:lo)return this;if(SetRef(ao),(lo||!ho)&&SetRef(so),!(lo&&uo.length===1)){if(!ho&&!lo&&uo.length>=MAX_ARRAY_MAP_SIZE)return createNodes(to,uo,oo,io);var po=to&&to===this.ownerID,go=po?uo:arrCopy(uo);return ho?lo?co===fo-1?go.pop():go[co]=go.pop():go[co]=[oo,io]:go.push([oo,io]),po?(this.entries=go,this):new ArrayMapNode(to,go)}};var BitmapIndexedNode=function(to,ro,no){this.ownerID=to,this.bitmap=ro,this.nodes=no};BitmapIndexedNode.prototype.get=function(to,ro,no,oo){ro===void 0&&(ro=hash$2(no));var io=1<<((to===0?ro:ro>>>to)&MASK),so=this.bitmap;return so&io?this.nodes[popCount(so&io-1)].get(to+SHIFT,ro,no,oo):oo};BitmapIndexedNode.prototype.update=function(to,ro,no,oo,io,so,ao){no===void 0&&(no=hash$2(oo));var lo=(ro===0?no:no>>>ro)&MASK,uo=1<<lo,co=this.bitmap,fo=(co&uo)!==0;if(!fo&&io===NOT_SET)return this;var ho=popCount(co&uo-1),po=this.nodes,go=fo?po[ho]:void 0,vo=updateNode(go,to,ro+SHIFT,no,oo,io,so,ao);if(vo===go)return this;if(!fo&&vo&&po.length>=MAX_BITMAP_INDEXED_SIZE)return expandNodes(to,po,co,lo,vo);if(fo&&!vo&&po.length===2&&isLeafNode(po[ho^1]))return po[ho^1];if(fo&&vo&&po.length===1&&isLeafNode(vo))return vo;var bo=to&&to===this.ownerID,xo=fo?vo?co:co^uo:co|uo,_o=fo?vo?setAt(po,ho,vo,bo):spliceOut(po,ho,bo):spliceIn(po,ho,vo,bo);return bo?(this.bitmap=xo,this.nodes=_o,this):new BitmapIndexedNode(to,xo,_o)};var HashArrayMapNode=function(to,ro,no){this.ownerID=to,this.count=ro,this.nodes=no};HashArrayMapNode.prototype.get=function(to,ro,no,oo){ro===void 0&&(ro=hash$2(no));var io=(to===0?ro:ro>>>to)&MASK,so=this.nodes[io];return so?so.get(to+SHIFT,ro,no,oo):oo};HashArrayMapNode.prototype.update=function(to,ro,no,oo,io,so,ao){no===void 0&&(no=hash$2(oo));var lo=(ro===0?no:no>>>ro)&MASK,uo=io===NOT_SET,co=this.nodes,fo=co[lo];if(uo&&!fo)return this;var ho=updateNode(fo,to,ro+SHIFT,no,oo,io,so,ao);if(ho===fo)return this;var po=this.count;if(!fo)po++;else if(!ho&&(po--,po<MIN_HASH_ARRAY_MAP_SIZE))return packNodes(to,co,po,lo);var go=to&&to===this.ownerID,vo=setAt(co,lo,ho,go);return go?(this.count=po,this.nodes=vo,this):new HashArrayMapNode(to,po,vo)};var HashCollisionNode=function(to,ro,no){this.ownerID=to,this.keyHash=ro,this.entries=no};HashCollisionNode.prototype.get=function(to,ro,no,oo){for(var io=this.entries,so=0,ao=io.length;so<ao;so++)if(is$1(no,io[so][0]))return io[so][1];return oo};HashCollisionNode.prototype.update=function(to,ro,no,oo,io,so,ao){no===void 0&&(no=hash$2(oo));var lo=io===NOT_SET;if(no!==this.keyHash)return lo?this:(SetRef(ao),SetRef(so),mergeIntoNode(this,to,ro,no,[oo,io]));for(var uo=this.entries,co=0,fo=uo.length;co<fo&&!is$1(oo,uo[co][0]);co++);var ho=co<fo;if(ho?uo[co][1]===io:lo)return this;if(SetRef(ao),(lo||!ho)&&SetRef(so),lo&&fo===2)return new ValueNode(to,this.keyHash,uo[co^1]);var po=to&&to===this.ownerID,go=po?uo:arrCopy(uo);return ho?lo?co===fo-1?go.pop():go[co]=go.pop():go[co]=[oo,io]:go.push([oo,io]),po?(this.entries=go,this):new HashCollisionNode(to,this.keyHash,go)};var ValueNode=function(to,ro,no){this.ownerID=to,this.keyHash=ro,this.entry=no};ValueNode.prototype.get=function(to,ro,no,oo){return is$1(no,this.entry[0])?this.entry[1]:oo};ValueNode.prototype.update=function(to,ro,no,oo,io,so,ao){var lo=io===NOT_SET,uo=is$1(oo,this.entry[0]);if(uo?io===this.entry[1]:lo)return this;if(SetRef(ao),lo){SetRef(so);return}return uo?to&&to===this.ownerID?(this.entry[1]=io,this):new ValueNode(to,this.keyHash,[oo,io]):(SetRef(so),mergeIntoNode(this,to,ro,hash$2(oo),[oo,io]))};ArrayMapNode.prototype.iterate=HashCollisionNode.prototype.iterate=function(eo,to){for(var ro=this.entries,no=0,oo=ro.length-1;no<=oo;no++)if(eo(ro[to?oo-no:no])===!1)return!1};BitmapIndexedNode.prototype.iterate=HashArrayMapNode.prototype.iterate=function(eo,to){for(var ro=this.nodes,no=0,oo=ro.length-1;no<=oo;no++){var io=ro[to?oo-no:no];if(io&&io.iterate(eo,to)===!1)return!1}};ValueNode.prototype.iterate=function(eo,to){return eo(this.entry)};var MapIterator=function(eo){function to(ro,no,oo){this._type=no,this._reverse=oo,this._stack=ro._root&&mapIteratorFrame(ro._root)}return eo&&(to.__proto__=eo),to.prototype=Object.create(eo&&eo.prototype),to.prototype.constructor=to,to.prototype.next=function(){for(var no=this._type,oo=this._stack;oo;){var io=oo.node,so=oo.index++,ao=void 0;if(io.entry){if(so===0)return mapIteratorValue(no,io.entry)}else if(io.entries){if(ao=io.entries.length-1,so<=ao)return mapIteratorValue(no,io.entries[this._reverse?ao-so:so])}else if(ao=io.nodes.length-1,so<=ao){var lo=io.nodes[this._reverse?ao-so:so];if(lo){if(lo.entry)return mapIteratorValue(no,lo.entry);oo=this._stack=mapIteratorFrame(lo,oo)}continue}oo=this._stack=this._stack.__prev}return iteratorDone()},to}(Iterator);function mapIteratorValue(eo,to){return iteratorValue(eo,to[0],to[1])}function mapIteratorFrame(eo,to){return{node:eo,index:0,__prev:to}}function makeMap(eo,to,ro,no){var oo=Object.create(MapPrototype);return oo.size=eo,oo._root=to,oo.__ownerID=ro,oo.__hash=no,oo.__altered=!1,oo}var EMPTY_MAP;function emptyMap(){return EMPTY_MAP||(EMPTY_MAP=makeMap(0))}function updateMap(eo,to,ro){var no,oo;if(eo._root){var io=MakeRef(),so=MakeRef();if(no=updateNode(eo._root,eo.__ownerID,0,void 0,to,ro,io,so),!so.value)return eo;oo=eo.size+(io.value?ro===NOT_SET?-1:1:0)}else{if(ro===NOT_SET)return eo;oo=1,no=new ArrayMapNode(eo.__ownerID,[[to,ro]])}return eo.__ownerID?(eo.size=oo,eo._root=no,eo.__hash=void 0,eo.__altered=!0,eo):no?makeMap(oo,no):emptyMap()}function updateNode(eo,to,ro,no,oo,io,so,ao){return eo?eo.update(to,ro,no,oo,io,so,ao):io===NOT_SET?eo:(SetRef(ao),SetRef(so),new ValueNode(to,no,[oo,io]))}function isLeafNode(eo){return eo.constructor===ValueNode||eo.constructor===HashCollisionNode}function mergeIntoNode(eo,to,ro,no,oo){if(eo.keyHash===no)return new HashCollisionNode(to,no,[eo.entry,oo]);var io=(ro===0?eo.keyHash:eo.keyHash>>>ro)&MASK,so=(ro===0?no:no>>>ro)&MASK,ao,lo=io===so?[mergeIntoNode(eo,to,ro+SHIFT,no,oo)]:(ao=new ValueNode(to,no,oo),io<so?[eo,ao]:[ao,eo]);return new BitmapIndexedNode(to,1<<io|1<<so,lo)}function createNodes(eo,to,ro,no){eo||(eo=new OwnerID);for(var oo=new ValueNode(eo,hash$2(ro),[ro,no]),io=0;io<to.length;io++){var so=to[io];oo=oo.update(eo,0,void 0,so[0],so[1])}return oo}function packNodes(eo,to,ro,no){for(var oo=0,io=0,so=new Array(ro),ao=0,lo=1,uo=to.length;ao<uo;ao++,lo<<=1){var co=to[ao];co!==void 0&&ao!==no&&(oo|=lo,so[io++]=co)}return new BitmapIndexedNode(eo,oo,so)}function expandNodes(eo,to,ro,no,oo){for(var io=0,so=new Array(SIZE),ao=0;ro!==0;ao++,ro>>>=1)so[ao]=ro&1?to[io++]:void 0;return so[no]=oo,new HashArrayMapNode(eo,io+1,so)}function popCount(eo){return eo-=eo>>1&1431655765,eo=(eo&858993459)+(eo>>2&858993459),eo=eo+(eo>>4)&252645135,eo+=eo>>8,eo+=eo>>16,eo&127}function setAt(eo,to,ro,no){var oo=no?eo:arrCopy(eo);return oo[to]=ro,oo}function spliceIn(eo,to,ro,no){var oo=eo.length+1;if(no&&to+1===oo)return eo[to]=ro,eo;for(var io=new Array(oo),so=0,ao=0;ao<oo;ao++)ao===to?(io[ao]=ro,so=-1):io[ao]=eo[ao+so];return io}function spliceOut(eo,to,ro){var no=eo.length-1;if(ro&&to===no)return eo.pop(),eo;for(var oo=new Array(no),io=0,so=0;so<no;so++)so===to&&(io=1),oo[so]=eo[so+io];return oo}var MAX_ARRAY_MAP_SIZE=SIZE/4,MAX_BITMAP_INDEXED_SIZE=SIZE/2,MIN_HASH_ARRAY_MAP_SIZE=SIZE/4,IS_LIST_SYMBOL="@@__IMMUTABLE_LIST__@@";function isList(eo){return!!(eo&&eo[IS_LIST_SYMBOL])}var List$1=function(eo){function to(ro){var no=emptyList();if(ro==null)return no;if(isList(ro))return ro;var oo=eo(ro),io=oo.size;return io===0?no:(assertNotInfinite(io),io>0&&io<SIZE?makeList(0,io,SHIFT,null,new VNode(oo.toArray())):no.withMutations(function(so){so.setSize(io),oo.forEach(function(ao,lo){return so.set(lo,ao)})}))}return eo&&(to.__proto__=eo),to.prototype=Object.create(eo&&eo.prototype),to.prototype.constructor=to,to.of=function(){return this(arguments)},to.prototype.toString=function(){return this.__toString("List [","]")},to.prototype.get=function(no,oo){if(no=wrapIndex(this,no),no>=0&&no<this.size){no+=this._origin;var io=listNodeFor(this,no);return io&&io.array[no&MASK]}return oo},to.prototype.set=function(no,oo){return updateList(this,no,oo)},to.prototype.remove=function(no){return this.has(no)?no===0?this.shift():no===this.size-1?this.pop():this.splice(no,1):this},to.prototype.insert=function(no,oo){return this.splice(no,0,oo)},to.prototype.clear=function(){return this.size===0?this:this.__ownerID?(this.size=this._origin=this._capacity=0,this._level=SHIFT,this._root=this._tail=this.__hash=void 0,this.__altered=!0,this):emptyList()},to.prototype.push=function(){var no=arguments,oo=this.size;return this.withMutations(function(io){setListBounds(io,0,oo+no.length);for(var so=0;so<no.length;so++)io.set(oo+so,no[so])})},to.prototype.pop=function(){return setListBounds(this,0,-1)},to.prototype.unshift=function(){var no=arguments;return this.withMutations(function(oo){setListBounds(oo,-no.length);for(var io=0;io<no.length;io++)oo.set(io,no[io])})},to.prototype.shift=function(){return setListBounds(this,1)},to.prototype.concat=function(){for(var no=arguments,oo=[],io=0;io<arguments.length;io++){var so=no[io],ao=eo(typeof so!="string"&&hasIterator(so)?so:[so]);ao.size!==0&&oo.push(ao)}return oo.length===0?this:this.size===0&&!this.__ownerID&&oo.length===1?this.constructor(oo[0]):this.withMutations(function(lo){oo.forEach(function(uo){return uo.forEach(function(co){return lo.push(co)})})})},to.prototype.setSize=function(no){return setListBounds(this,0,no)},to.prototype.map=function(no,oo){var io=this;return this.withMutations(function(so){for(var ao=0;ao<io.size;ao++)so.set(ao,no.call(oo,so.get(ao),ao,io))})},to.prototype.slice=function(no,oo){var io=this.size;return wholeSlice(no,oo,io)?this:setListBounds(this,resolveBegin(no,io),resolveEnd(oo,io))},to.prototype.__iterator=function(no,oo){var io=oo?this.size:0,so=iterateList(this,oo);return new Iterator(function(){var ao=so();return ao===DONE?iteratorDone():iteratorValue(no,oo?--io:io++,ao)})},to.prototype.__iterate=function(no,oo){for(var io=oo?this.size:0,so=iterateList(this,oo),ao;(ao=so())!==DONE&&no(ao,oo?--io:io++,this)!==!1;);return io},to.prototype.__ensureOwner=function(no){return no===this.__ownerID?this:no?makeList(this._origin,this._capacity,this._level,this._root,this._tail,no,this.__hash):this.size===0?emptyList():(this.__ownerID=no,this.__altered=!1,this)},to}(IndexedCollection);List$1.isList=isList;var ListPrototype=List$1.prototype;ListPrototype[IS_LIST_SYMBOL]=!0;ListPrototype[DELETE]=ListPrototype.remove;ListPrototype.merge=ListPrototype.concat;ListPrototype.setIn=setIn;ListPrototype.deleteIn=ListPrototype.removeIn=deleteIn;ListPrototype.update=update;ListPrototype.updateIn=updateIn;ListPrototype.mergeIn=mergeIn;ListPrototype.mergeDeepIn=mergeDeepIn;ListPrototype.withMutations=withMutations;ListPrototype.wasAltered=wasAltered;ListPrototype.asImmutable=asImmutable;ListPrototype["@@transducer/init"]=ListPrototype.asMutable=asMutable;ListPrototype["@@transducer/step"]=function(eo,to){return eo.push(to)};ListPrototype["@@transducer/result"]=function(eo){return eo.asImmutable()};var VNode=function(to,ro){this.array=to,this.ownerID=ro};VNode.prototype.removeBefore=function(to,ro,no){if(no===ro?1<<ro:this.array.length===0)return this;var oo=no>>>ro&MASK;if(oo>=this.array.length)return new VNode([],to);var io=oo===0,so;if(ro>0){var ao=this.array[oo];if(so=ao&&ao.removeBefore(to,ro-SHIFT,no),so===ao&&io)return this}if(io&&!so)return this;var lo=editableVNode(this,to);if(!io)for(var uo=0;uo<oo;uo++)lo.array[uo]=void 0;return so&&(lo.array[oo]=so),lo};VNode.prototype.removeAfter=function(to,ro,no){if(no===(ro?1<<ro:0)||this.array.length===0)return this;var oo=no-1>>>ro&MASK;if(oo>=this.array.length)return this;var io;if(ro>0){var so=this.array[oo];if(io=so&&so.removeAfter(to,ro-SHIFT,no),io===so&&oo===this.array.length-1)return this}var ao=editableVNode(this,to);return ao.array.splice(oo+1),io&&(ao.array[oo]=io),ao};var DONE={};function iterateList(eo,to){var ro=eo._origin,no=eo._capacity,oo=getTailOffset(no),io=eo._tail;return so(eo._root,eo._level,0);function so(uo,co,fo){return co===0?ao(uo,fo):lo(uo,co,fo)}function ao(uo,co){var fo=co===oo?io&&io.array:uo&&uo.array,ho=co>ro?0:ro-co,po=no-co;return po>SIZE&&(po=SIZE),function(){if(ho===po)return DONE;var go=to?--po:ho++;return fo&&fo[go]}}function lo(uo,co,fo){var ho,po=uo&&uo.array,go=fo>ro?0:ro-fo>>co,vo=(no-fo>>co)+1;return vo>SIZE&&(vo=SIZE),function(){for(;;){if(ho){var bo=ho();if(bo!==DONE)return bo;ho=null}if(go===vo)return DONE;var xo=to?--vo:go++;ho=so(po&&po[xo],co-SHIFT,fo+(xo<<co))}}}}function makeList(eo,to,ro,no,oo,io,so){var ao=Object.create(ListPrototype);return ao.size=to-eo,ao._origin=eo,ao._capacity=to,ao._level=ro,ao._root=no,ao._tail=oo,ao.__ownerID=io,ao.__hash=so,ao.__altered=!1,ao}var EMPTY_LIST;function emptyList(){return EMPTY_LIST||(EMPTY_LIST=makeList(0,0,SHIFT))}function updateList(eo,to,ro){if(to=wrapIndex(eo,to),to!==to)return eo;if(to>=eo.size||to<0)return eo.withMutations(function(so){to<0?setListBounds(so,to).set(0,ro):setListBounds(so,0,to+1).set(to,ro)});to+=eo._origin;var no=eo._tail,oo=eo._root,io=MakeRef();return to>=getTailOffset(eo._capacity)?no=updateVNode(no,eo.__ownerID,0,to,ro,io):oo=updateVNode(oo,eo.__ownerID,eo._level,to,ro,io),io.value?eo.__ownerID?(eo._root=oo,eo._tail=no,eo.__hash=void 0,eo.__altered=!0,eo):makeList(eo._origin,eo._capacity,eo._level,oo,no):eo}function updateVNode(eo,to,ro,no,oo,io){var so=no>>>ro&MASK,ao=eo&&so<eo.array.length;if(!ao&&oo===void 0)return eo;var lo;if(ro>0){var uo=eo&&eo.array[so],co=updateVNode(uo,to,ro-SHIFT,no,oo,io);return co===uo?eo:(lo=editableVNode(eo,to),lo.array[so]=co,lo)}return ao&&eo.array[so]===oo?eo:(io&&SetRef(io),lo=editableVNode(eo,to),oo===void 0&&so===lo.array.length-1?lo.array.pop():lo.array[so]=oo,lo)}function editableVNode(eo,to){return to&&eo&&to===eo.ownerID?eo:new VNode(eo?eo.array.slice():[],to)}function listNodeFor(eo,to){if(to>=getTailOffset(eo._capacity))return eo._tail;if(to<1<<eo._level+SHIFT){for(var ro=eo._root,no=eo._level;ro&&no>0;)ro=ro.array[to>>>no&MASK],no-=SHIFT;return ro}}function setListBounds(eo,to,ro){to!==void 0&&(to|=0),ro!==void 0&&(ro|=0);var no=eo.__ownerID||new OwnerID,oo=eo._origin,io=eo._capacity,so=oo+to,ao=ro===void 0?io:ro<0?io+ro:oo+ro;if(so===oo&&ao===io)return eo;if(so>=ao)return eo.clear();for(var lo=eo._level,uo=eo._root,co=0;so+co<0;)uo=new VNode(uo&&uo.array.length?[void 0,uo]:[],no),lo+=SHIFT,co+=1<<lo;co&&(so+=co,oo+=co,ao+=co,io+=co);for(var fo=getTailOffset(io),ho=getTailOffset(ao);ho>=1<<lo+SHIFT;)uo=new VNode(uo&&uo.array.length?[uo]:[],no),lo+=SHIFT;var po=eo._tail,go=ho<fo?listNodeFor(eo,ao-1):ho>fo?new VNode([],no):po;if(po&&ho>fo&&so<io&&po.array.length){uo=editableVNode(uo,no);for(var vo=uo,bo=lo;bo>SHIFT;bo-=SHIFT){var xo=fo>>>bo&MASK;vo=vo.array[xo]=editableVNode(vo.array[xo],no)}vo.array[fo>>>SHIFT&MASK]=po}if(ao<io&&(go=go&&go.removeAfter(no,0,ao)),so>=ho)so-=ho,ao-=ho,lo=SHIFT,uo=null,go=go&&go.removeBefore(no,0,so);else if(so>oo||ho<fo){for(co=0;uo;){var _o=so>>>lo&MASK;if(_o!==ho>>>lo&MASK)break;_o&&(co+=(1<<lo)*_o),lo-=SHIFT,uo=uo.array[_o]}uo&&so>oo&&(uo=uo.removeBefore(no,lo,so-co)),uo&&ho<fo&&(uo=uo.removeAfter(no,lo,ho-co)),co&&(so-=co,ao-=co)}return eo.__ownerID?(eo.size=ao-so,eo._origin=so,eo._capacity=ao,eo._level=lo,eo._root=uo,eo._tail=go,eo.__hash=void 0,eo.__altered=!0,eo):makeList(so,ao,lo,uo,go)}function getTailOffset(eo){return eo<SIZE?0:eo-1>>>SHIFT<<SHIFT}var OrderedMap=function(eo){function to(ro){return ro==null?emptyOrderedMap():isOrderedMap(ro)?ro:emptyOrderedMap().withMutations(function(no){var oo=KeyedCollection(ro);assertNotInfinite(oo.size),oo.forEach(function(io,so){return no.set(so,io)})})}return eo&&(to.__proto__=eo),to.prototype=Object.create(eo&&eo.prototype),to.prototype.constructor=to,to.of=function(){return this(arguments)},to.prototype.toString=function(){return this.__toString("OrderedMap {","}")},to.prototype.get=function(no,oo){var io=this._map.get(no);return io!==void 0?this._list.get(io)[1]:oo},to.prototype.clear=function(){return this.size===0?this:this.__ownerID?(this.size=0,this._map.clear(),this._list.clear(),this.__altered=!0,this):emptyOrderedMap()},to.prototype.set=function(no,oo){return updateOrderedMap(this,no,oo)},to.prototype.remove=function(no){return updateOrderedMap(this,no,NOT_SET)},to.prototype.__iterate=function(no,oo){var io=this;return this._list.__iterate(function(so){return so&&no(so[1],so[0],io)},oo)},to.prototype.__iterator=function(no,oo){return this._list.fromEntrySeq().__iterator(no,oo)},to.prototype.__ensureOwner=function(no){if(no===this.__ownerID)return this;var oo=this._map.__ensureOwner(no),io=this._list.__ensureOwner(no);return no?makeOrderedMap(oo,io,no,this.__hash):this.size===0?emptyOrderedMap():(this.__ownerID=no,this.__altered=!1,this._map=oo,this._list=io,this)},to}(Map$1);OrderedMap.isOrderedMap=isOrderedMap;OrderedMap.prototype[IS_ORDERED_SYMBOL]=!0;OrderedMap.prototype[DELETE]=OrderedMap.prototype.remove;function makeOrderedMap(eo,to,ro,no){var oo=Object.create(OrderedMap.prototype);return oo.size=eo?eo.size:0,oo._map=eo,oo._list=to,oo.__ownerID=ro,oo.__hash=no,oo.__altered=!1,oo}var EMPTY_ORDERED_MAP;function emptyOrderedMap(){return EMPTY_ORDERED_MAP||(EMPTY_ORDERED_MAP=makeOrderedMap(emptyMap(),emptyList()))}function updateOrderedMap(eo,to,ro){var no=eo._map,oo=eo._list,io=no.get(to),so=io!==void 0,ao,lo;if(ro===NOT_SET){if(!so)return eo;oo.size>=SIZE&&oo.size>=no.size*2?(lo=oo.filter(function(uo,co){return uo!==void 0&&io!==co}),ao=lo.toKeyedSeq().map(function(uo){return uo[0]}).flip().toMap(),eo.__ownerID&&(ao.__ownerID=lo.__ownerID=eo.__ownerID)):(ao=no.remove(to),lo=io===oo.size-1?oo.pop():oo.set(io,void 0))}else if(so){if(ro===oo.get(io)[1])return eo;ao=no,lo=oo.set(io,[to,ro])}else ao=no.set(to,oo.size),lo=oo.set(oo.size,[to,ro]);return eo.__ownerID?(eo.size=ao.size,eo._map=ao,eo._list=lo,eo.__hash=void 0,eo.__altered=!0,eo):makeOrderedMap(ao,lo)}var IS_STACK_SYMBOL="@@__IMMUTABLE_STACK__@@";function isStack(eo){return!!(eo&&eo[IS_STACK_SYMBOL])}var Stack$1=function(eo){function to(ro){return ro==null?emptyStack():isStack(ro)?ro:emptyStack().pushAll(ro)}return eo&&(to.__proto__=eo),to.prototype=Object.create(eo&&eo.prototype),to.prototype.constructor=to,to.of=function(){return this(arguments)},to.prototype.toString=function(){return this.__toString("Stack [","]")},to.prototype.get=function(no,oo){var io=this._head;for(no=wrapIndex(this,no);io&&no--;)io=io.next;return io?io.value:oo},to.prototype.peek=function(){return this._head&&this._head.value},to.prototype.push=function(){var no=arguments;if(arguments.length===0)return this;for(var oo=this.size+arguments.length,io=this._head,so=arguments.length-1;so>=0;so--)io={value:no[so],next:io};return this.__ownerID?(this.size=oo,this._head=io,this.__hash=void 0,this.__altered=!0,this):makeStack(oo,io)},to.prototype.pushAll=function(no){if(no=eo(no),no.size===0)return this;if(this.size===0&&isStack(no))return no;assertNotInfinite(no.size);var oo=this.size,io=this._head;return no.__iterate(function(so){oo++,io={value:so,next:io}},!0),this.__ownerID?(this.size=oo,this._head=io,this.__hash=void 0,this.__altered=!0,this):makeStack(oo,io)},to.prototype.pop=function(){return this.slice(1)},to.prototype.clear=function(){return this.size===0?this:this.__ownerID?(this.size=0,this._head=void 0,this.__hash=void 0,this.__altered=!0,this):emptyStack()},to.prototype.slice=function(no,oo){if(wholeSlice(no,oo,this.size))return this;var io=resolveBegin(no,this.size),so=resolveEnd(oo,this.size);if(so!==this.size)return eo.prototype.slice.call(this,no,oo);for(var ao=this.size-io,lo=this._head;io--;)lo=lo.next;return this.__ownerID?(this.size=ao,this._head=lo,this.__hash=void 0,this.__altered=!0,this):makeStack(ao,lo)},to.prototype.__ensureOwner=function(no){return no===this.__ownerID?this:no?makeStack(this.size,this._head,no,this.__hash):this.size===0?emptyStack():(this.__ownerID=no,this.__altered=!1,this)},to.prototype.__iterate=function(no,oo){var io=this;if(oo)return new ArraySeq(this.toArray()).__iterate(function(lo,uo){return no(lo,uo,io)},oo);for(var so=0,ao=this._head;ao&&no(ao.value,so++,this)!==!1;)ao=ao.next;return so},to.prototype.__iterator=function(no,oo){if(oo)return new ArraySeq(this.toArray()).__iterator(no,oo);var io=0,so=this._head;return new Iterator(function(){if(so){var ao=so.value;return so=so.next,iteratorValue(no,io++,ao)}return iteratorDone()})},to}(IndexedCollection);Stack$1.isStack=isStack;var StackPrototype=Stack$1.prototype;StackPrototype[IS_STACK_SYMBOL]=!0;StackPrototype.shift=StackPrototype.pop;StackPrototype.unshift=StackPrototype.push;StackPrototype.unshiftAll=StackPrototype.pushAll;StackPrototype.withMutations=withMutations;StackPrototype.wasAltered=wasAltered;StackPrototype.asImmutable=asImmutable;StackPrototype["@@transducer/init"]=StackPrototype.asMutable=asMutable;StackPrototype["@@transducer/step"]=function(eo,to){return eo.unshift(to)};StackPrototype["@@transducer/result"]=function(eo){return eo.asImmutable()};function makeStack(eo,to,ro,no){var oo=Object.create(StackPrototype);return oo.size=eo,oo._head=to,oo.__ownerID=ro,oo.__hash=no,oo.__altered=!1,oo}var EMPTY_STACK;function emptyStack(){return EMPTY_STACK||(EMPTY_STACK=makeStack(0))}var IS_SET_SYMBOL="@@__IMMUTABLE_SET__@@";function isSet(eo){return!!(eo&&eo[IS_SET_SYMBOL])}function isOrderedSet(eo){return isSet(eo)&&isOrdered(eo)}function deepEqual(eo,to){if(eo===to)return!0;if(!isCollection(to)||eo.size!==void 0&&to.size!==void 0&&eo.size!==to.size||eo.__hash!==void 0&&to.__hash!==void 0&&eo.__hash!==to.__hash||isKeyed(eo)!==isKeyed(to)||isIndexed(eo)!==isIndexed(to)||isOrdered(eo)!==isOrdered(to))return!1;if(eo.size===0&&to.size===0)return!0;var ro=!isAssociative(eo);if(isOrdered(eo)){var no=eo.entries();return to.every(function(lo,uo){var co=no.next().value;return co&&is$1(co[1],lo)&&(ro||is$1(co[0],uo))})&&no.next().done}var oo=!1;if(eo.size===void 0)if(to.size===void 0)typeof eo.cacheResult=="function"&&eo.cacheResult();else{oo=!0;var io=eo;eo=to,to=io}var so=!0,ao=to.__iterate(function(lo,uo){if(ro?!eo.has(lo):oo?!is$1(lo,eo.get(uo,NOT_SET)):!is$1(eo.get(uo,NOT_SET),lo))return so=!1,!1});return so&&eo.size===ao}function mixin(eo,to){var ro=function(no){eo.prototype[no]=to[no]};return Object.keys(to).forEach(ro),Object.getOwnPropertySymbols&&Object.getOwnPropertySymbols(to).forEach(ro),eo}function toJS(eo){if(!eo||typeof eo!="object")return eo;if(!isCollection(eo)){if(!isDataStructure(eo))return eo;eo=Seq(eo)}if(isKeyed(eo)){var to={};return eo.__iterate(function(no,oo){to[oo]=toJS(no)}),to}var ro=[];return eo.__iterate(function(no){ro.push(toJS(no))}),ro}var Set$1=function(eo){function to(ro){return ro==null?emptySet():isSet(ro)&&!isOrdered(ro)?ro:emptySet().withMutations(function(no){var oo=eo(ro);assertNotInfinite(oo.size),oo.forEach(function(io){return no.add(io)})})}return eo&&(to.__proto__=eo),to.prototype=Object.create(eo&&eo.prototype),to.prototype.constructor=to,to.of=function(){return this(arguments)},to.fromKeys=function(no){return this(KeyedCollection(no).keySeq())},to.intersect=function(no){return no=Collection$1(no).toArray(),no.length?SetPrototype.intersect.apply(to(no.pop()),no):emptySet()},to.union=function(no){return no=Collection$1(no).toArray(),no.length?SetPrototype.union.apply(to(no.pop()),no):emptySet()},to.prototype.toString=function(){return this.__toString("Set {","}")},to.prototype.has=function(no){return this._map.has(no)},to.prototype.add=function(no){return updateSet(this,this._map.set(no,no))},to.prototype.remove=function(no){return updateSet(this,this._map.remove(no))},to.prototype.clear=function(){return updateSet(this,this._map.clear())},to.prototype.map=function(no,oo){var io=this,so=!1,ao=updateSet(this,this._map.mapEntries(function(lo){var uo=lo[1],co=no.call(oo,uo,uo,io);return co!==uo&&(so=!0),[co,co]},oo));return so?ao:this},to.prototype.union=function(){for(var no=[],oo=arguments.length;oo--;)no[oo]=arguments[oo];return no=no.filter(function(io){return io.size!==0}),no.length===0?this:this.size===0&&!this.__ownerID&&no.length===1?this.constructor(no[0]):this.withMutations(function(io){for(var so=0;so<no.length;so++)typeof no[so]=="string"?io.add(no[so]):eo(no[so]).forEach(function(ao){return io.add(ao)})})},to.prototype.intersect=function(){for(var no=[],oo=arguments.length;oo--;)no[oo]=arguments[oo];if(no.length===0)return this;no=no.map(function(so){return eo(so)});var io=[];return this.forEach(function(so){no.every(function(ao){return ao.includes(so)})||io.push(so)}),this.withMutations(function(so){io.forEach(function(ao){so.remove(ao)})})},to.prototype.subtract=function(){for(var no=[],oo=arguments.length;oo--;)no[oo]=arguments[oo];if(no.length===0)return this;no=no.map(function(so){return eo(so)});var io=[];return this.forEach(function(so){no.some(function(ao){return ao.includes(so)})&&io.push(so)}),this.withMutations(function(so){io.forEach(function(ao){so.remove(ao)})})},to.prototype.sort=function(no){return OrderedSet(sortFactory(this,no))},to.prototype.sortBy=function(no,oo){return OrderedSet(sortFactory(this,oo,no))},to.prototype.wasAltered=function(){return this._map.wasAltered()},to.prototype.__iterate=function(no,oo){var io=this;return this._map.__iterate(function(so){return no(so,so,io)},oo)},to.prototype.__iterator=function(no,oo){return this._map.__iterator(no,oo)},to.prototype.__ensureOwner=function(no){if(no===this.__ownerID)return this;var oo=this._map.__ensureOwner(no);return no?this.__make(oo,no):this.size===0?this.__empty():(this.__ownerID=no,this._map=oo,this)},to}(SetCollection);Set$1.isSet=isSet;var SetPrototype=Set$1.prototype;SetPrototype[IS_SET_SYMBOL]=!0;SetPrototype[DELETE]=SetPrototype.remove;SetPrototype.merge=SetPrototype.concat=SetPrototype.union;SetPrototype.withMutations=withMutations;SetPrototype.asImmutable=asImmutable;SetPrototype["@@transducer/init"]=SetPrototype.asMutable=asMutable;SetPrototype["@@transducer/step"]=function(eo,to){return eo.add(to)};SetPrototype["@@transducer/result"]=function(eo){return eo.asImmutable()};SetPrototype.__empty=emptySet;SetPrototype.__make=makeSet;function updateSet(eo,to){return eo.__ownerID?(eo.size=to.size,eo._map=to,eo):to===eo._map?eo:to.size===0?eo.__empty():eo.__make(to)}function makeSet(eo,to){var ro=Object.create(SetPrototype);return ro.size=eo?eo.size:0,ro._map=eo,ro.__ownerID=to,ro}var EMPTY_SET;function emptySet(){return EMPTY_SET||(EMPTY_SET=makeSet(emptyMap()))}var Range$3=function(eo){function to(ro,no,oo){if(!(this instanceof to))return new to(ro,no,oo);if(invariant$1(oo!==0,"Cannot step a Range by 0"),ro=ro||0,no===void 0&&(no=1/0),oo=oo===void 0?1:Math.abs(oo),no<ro&&(oo=-oo),this._start=ro,this._end=no,this._step=oo,this.size=Math.max(0,Math.ceil((no-ro)/oo-1)+1),this.size===0){if(EMPTY_RANGE)return EMPTY_RANGE;EMPTY_RANGE=this}}return eo&&(to.__proto__=eo),to.prototype=Object.create(eo&&eo.prototype),to.prototype.constructor=to,to.prototype.toString=function(){return this.size===0?"Range []":"Range [ "+this._start+"..."+this._end+(this._step!==1?" by "+this._step:"")+" ]"},to.prototype.get=function(no,oo){return this.has(no)?this._start+wrapIndex(this,no)*this._step:oo},to.prototype.includes=function(no){var oo=(no-this._start)/this._step;return oo>=0&&oo<this.size&&oo===Math.floor(oo)},to.prototype.slice=function(no,oo){return wholeSlice(no,oo,this.size)?this:(no=resolveBegin(no,this.size),oo=resolveEnd(oo,this.size),oo<=no?new to(0,0):new to(this.get(no,this._end),this.get(oo,this._end),this._step))},to.prototype.indexOf=function(no){var oo=no-this._start;if(oo%this._step===0){var io=oo/this._step;if(io>=0&&io<this.size)return io}return-1},to.prototype.lastIndexOf=function(no){return this.indexOf(no)},to.prototype.__iterate=function(no,oo){for(var io=this.size,so=this._step,ao=oo?this._start+(io-1)*so:this._start,lo=0;lo!==io&&no(ao,oo?io-++lo:lo++,this)!==!1;)ao+=oo?-so:so;return lo},to.prototype.__iterator=function(no,oo){var io=this.size,so=this._step,ao=oo?this._start+(io-1)*so:this._start,lo=0;return new Iterator(function(){if(lo===io)return iteratorDone();var uo=ao;return ao+=oo?-so:so,iteratorValue(no,oo?io-++lo:lo++,uo)})},to.prototype.equals=function(no){return no instanceof to?this._start===no._start&&this._end===no._end&&this._step===no._step:deepEqual(this,no)},to}(IndexedSeq),EMPTY_RANGE;function getIn$1(eo,to,ro){for(var no=coerceKeyPath(to),oo=0;oo!==no.length;)if(eo=get(eo,no[oo++],NOT_SET),eo===NOT_SET)return ro;return eo}function getIn(eo,to){return getIn$1(this,eo,to)}function hasIn$1(eo,to){return getIn$1(eo,to,NOT_SET)!==NOT_SET}function hasIn(eo){return hasIn$1(this,eo)}function toObject(){assertNotInfinite(this.size);var eo={};return this.__iterate(function(to,ro){eo[ro]=to}),eo}Collection$1.isIterable=isCollection;Collection$1.isKeyed=isKeyed;Collection$1.isIndexed=isIndexed;Collection$1.isAssociative=isAssociative;Collection$1.isOrdered=isOrdered;Collection$1.Iterator=Iterator;mixin(Collection$1,{toArray:function(){assertNotInfinite(this.size);var to=new Array(this.size||0),ro=isKeyed(this),no=0;return this.__iterate(function(oo,io){to[no++]=ro?[io,oo]:oo}),to},toIndexedSeq:function(){return new ToIndexedSequence(this)},toJS:function(){return toJS(this)},toKeyedSeq:function(){return new ToKeyedSequence(this,!0)},toMap:function(){return Map$1(this.toKeyedSeq())},toObject,toOrderedMap:function(){return OrderedMap(this.toKeyedSeq())},toOrderedSet:function(){return OrderedSet(isKeyed(this)?this.valueSeq():this)},toSet:function(){return Set$1(isKeyed(this)?this.valueSeq():this)},toSetSeq:function(){return new ToSetSequence(this)},toSeq:function(){return isIndexed(this)?this.toIndexedSeq():isKeyed(this)?this.toKeyedSeq():this.toSetSeq()},toStack:function(){return Stack$1(isKeyed(this)?this.valueSeq():this)},toList:function(){return List$1(isKeyed(this)?this.valueSeq():this)},toString:function(){return"[Collection]"},__toString:function(to,ro){return this.size===0?to+ro:to+" "+this.toSeq().map(this.__toStringMapper).join(", ")+" "+ro},concat:function(){for(var to=[],ro=arguments.length;ro--;)to[ro]=arguments[ro];return reify(this,concatFactory(this,to))},includes:function(to){return this.some(function(ro){return is$1(ro,to)})},entries:function(){return this.__iterator(ITERATE_ENTRIES)},every:function(to,ro){assertNotInfinite(this.size);var no=!0;return this.__iterate(function(oo,io,so){if(!to.call(ro,oo,io,so))return no=!1,!1}),no},filter:function(to,ro){return reify(this,filterFactory(this,to,ro,!0))},partition:function(to,ro){return partitionFactory(this,to,ro)},find:function(to,ro,no){var oo=this.findEntry(to,ro);return oo?oo[1]:no},forEach:function(to,ro){return assertNotInfinite(this.size),this.__iterate(ro?to.bind(ro):to)},join:function(to){assertNotInfinite(this.size),to=to!==void 0?""+to:",";var ro="",no=!0;return this.__iterate(function(oo){no?no=!1:ro+=to,ro+=oo!=null?oo.toString():""}),ro},keys:function(){return this.__iterator(ITERATE_KEYS)},map:function(to,ro){return reify(this,mapFactory(this,to,ro))},reduce:function(to,ro,no){return reduce(this,to,ro,no,arguments.length<2,!1)},reduceRight:function(to,ro,no){return reduce(this,to,ro,no,arguments.length<2,!0)},reverse:function(){return reify(this,reverseFactory(this,!0))},slice:function(to,ro){return reify(this,sliceFactory(this,to,ro,!0))},some:function(to,ro){assertNotInfinite(this.size);var no=!1;return this.__iterate(function(oo,io,so){if(to.call(ro,oo,io,so))return no=!0,!1}),no},sort:function(to){return reify(this,sortFactory(this,to))},values:function(){return this.__iterator(ITERATE_VALUES)},butLast:function(){return this.slice(0,-1)},isEmpty:function(){return this.size!==void 0?this.size===0:!this.some(function(){return!0})},count:function(to,ro){return ensureSize(to?this.toSeq().filter(to,ro):this)},countBy:function(to,ro){return countByFactory(this,to,ro)},equals:function(to){return deepEqual(this,to)},entrySeq:function(){var to=this;if(to._cache)return new ArraySeq(to._cache);var ro=to.toSeq().map(entryMapper).toIndexedSeq();return ro.fromEntrySeq=function(){return to.toSeq()},ro},filterNot:function(to,ro){return this.filter(not(to),ro)},findEntry:function(to,ro,no){var oo=no;return this.__iterate(function(io,so,ao){if(to.call(ro,io,so,ao))return oo=[so,io],!1}),oo},findKey:function(to,ro){var no=this.findEntry(to,ro);return no&&no[0]},findLast:function(to,ro,no){return this.toKeyedSeq().reverse().find(to,ro,no)},findLastEntry:function(to,ro,no){return this.toKeyedSeq().reverse().findEntry(to,ro,no)},findLastKey:function(to,ro){return this.toKeyedSeq().reverse().findKey(to,ro)},first:function(to){return this.find(returnTrue,null,to)},flatMap:function(to,ro){return reify(this,flatMapFactory(this,to,ro))},flatten:function(to){return reify(this,flattenFactory(this,to,!0))},fromEntrySeq:function(){return new FromEntriesSequence(this)},get:function(to,ro){return this.find(function(no,oo){return is$1(oo,to)},void 0,ro)},getIn,groupBy:function(to,ro){return groupByFactory(this,to,ro)},has:function(to){return this.get(to,NOT_SET)!==NOT_SET},hasIn,isSubset:function(to){return to=typeof to.includes=="function"?to:Collection$1(to),this.every(function(ro){return to.includes(ro)})},isSuperset:function(to){return to=typeof to.isSubset=="function"?to:Collection$1(to),to.isSubset(this)},keyOf:function(to){return this.findKey(function(ro){return is$1(ro,to)})},keySeq:function(){return this.toSeq().map(keyMapper).toIndexedSeq()},last:function(to){return this.toSeq().reverse().first(to)},lastKeyOf:function(to){return this.toKeyedSeq().reverse().keyOf(to)},max:function(to){return maxFactory(this,to)},maxBy:function(to,ro){return maxFactory(this,ro,to)},min:function(to){return maxFactory(this,to?neg(to):defaultNegComparator)},minBy:function(to,ro){return maxFactory(this,ro?neg(ro):defaultNegComparator,to)},rest:function(){return this.slice(1)},skip:function(to){return to===0?this:this.slice(Math.max(0,to))},skipLast:function(to){return to===0?this:this.slice(0,-Math.max(0,to))},skipWhile:function(to,ro){return reify(this,skipWhileFactory(this,to,ro,!0))},skipUntil:function(to,ro){return this.skipWhile(not(to),ro)},sortBy:function(to,ro){return reify(this,sortFactory(this,ro,to))},take:function(to){return this.slice(0,Math.max(0,to))},takeLast:function(to){return this.slice(-Math.max(0,to))},takeWhile:function(to,ro){return reify(this,takeWhileFactory(this,to,ro))},takeUntil:function(to,ro){return this.takeWhile(not(to),ro)},update:function(to){return to(this)},valueSeq:function(){return this.toIndexedSeq()},hashCode:function(){return this.__hash||(this.__hash=hashCollection(this))}});var CollectionPrototype=Collection$1.prototype;CollectionPrototype[IS_COLLECTION_SYMBOL]=!0;CollectionPrototype[ITERATOR_SYMBOL]=CollectionPrototype.values;CollectionPrototype.toJSON=CollectionPrototype.toArray;CollectionPrototype.__toStringMapper=quoteString;CollectionPrototype.inspect=CollectionPrototype.toSource=function(){return this.toString()};CollectionPrototype.chain=CollectionPrototype.flatMap;CollectionPrototype.contains=CollectionPrototype.includes;mixin(KeyedCollection,{flip:function(){return reify(this,flipFactory(this))},mapEntries:function(to,ro){var no=this,oo=0;return reify(this,this.toSeq().map(function(io,so){return to.call(ro,[so,io],oo++,no)}).fromEntrySeq())},mapKeys:function(to,ro){var no=this;return reify(this,this.toSeq().flip().map(function(oo,io){return to.call(ro,oo,io,no)}).flip())}});var KeyedCollectionPrototype=KeyedCollection.prototype;KeyedCollectionPrototype[IS_KEYED_SYMBOL]=!0;KeyedCollectionPrototype[ITERATOR_SYMBOL]=CollectionPrototype.entries;KeyedCollectionPrototype.toJSON=toObject;KeyedCollectionPrototype.__toStringMapper=function(eo,to){return quoteString(to)+": "+quoteString(eo)};mixin(IndexedCollection,{toKeyedSeq:function(){return new ToKeyedSequence(this,!1)},filter:function(to,ro){return reify(this,filterFactory(this,to,ro,!1))},findIndex:function(to,ro){var no=this.findEntry(to,ro);return no?no[0]:-1},indexOf:function(to){var ro=this.keyOf(to);return ro===void 0?-1:ro},lastIndexOf:function(to){var ro=this.lastKeyOf(to);return ro===void 0?-1:ro},reverse:function(){return reify(this,reverseFactory(this,!1))},slice:function(to,ro){return reify(this,sliceFactory(this,to,ro,!1))},splice:function(to,ro){var no=arguments.length;if(ro=Math.max(ro||0,0),no===0||no===2&&!ro)return this;to=resolveBegin(to,to<0?this.count():this.size);var oo=this.slice(0,to);return reify(this,no===1?oo:oo.concat(arrCopy(arguments,2),this.slice(to+ro)))},findLastIndex:function(to,ro){var no=this.findLastEntry(to,ro);return no?no[0]:-1},first:function(to){return this.get(0,to)},flatten:function(to){return reify(this,flattenFactory(this,to,!1))},get:function(to,ro){return to=wrapIndex(this,to),to<0||this.size===1/0||this.size!==void 0&&to>this.size?ro:this.find(function(no,oo){return oo===to},void 0,ro)},has:function(to){return to=wrapIndex(this,to),to>=0&&(this.size!==void 0?this.size===1/0||to<this.size:this.indexOf(to)!==-1)},interpose:function(to){return reify(this,interposeFactory(this,to))},interleave:function(){var to=[this].concat(arrCopy(arguments)),ro=zipWithFactory(this.toSeq(),IndexedSeq.of,to),no=ro.flatten(!0);return ro.size&&(no.size=ro.size*to.length),reify(this,no)},keySeq:function(){return Range$3(0,this.size)},last:function(to){return this.get(-1,to)},skipWhile:function(to,ro){return reify(this,skipWhileFactory(this,to,ro,!1))},zip:function(){var to=[this].concat(arrCopy(arguments));return reify(this,zipWithFactory(this,defaultZipper,to))},zipAll:function(){var to=[this].concat(arrCopy(arguments));return reify(this,zipWithFactory(this,defaultZipper,to,!0))},zipWith:function(to){var ro=arrCopy(arguments);return ro[0]=this,reify(this,zipWithFactory(this,to,ro))}});var IndexedCollectionPrototype=IndexedCollection.prototype;IndexedCollectionPrototype[IS_INDEXED_SYMBOL]=!0;IndexedCollectionPrototype[IS_ORDERED_SYMBOL]=!0;mixin(SetCollection,{get:function(to,ro){return this.has(to)?to:ro},includes:function(to){return this.has(to)},keySeq:function(){return this.valueSeq()}});var SetCollectionPrototype=SetCollection.prototype;SetCollectionPrototype.has=CollectionPrototype.includes;SetCollectionPrototype.contains=SetCollectionPrototype.includes;SetCollectionPrototype.keys=SetCollectionPrototype.values;mixin(KeyedSeq,KeyedCollectionPrototype);mixin(IndexedSeq,IndexedCollectionPrototype);mixin(SetSeq,SetCollectionPrototype);function reduce(eo,to,ro,no,oo,io){return assertNotInfinite(eo.size),eo.__iterate(function(so,ao,lo){oo?(oo=!1,ro=so):ro=to.call(no,ro,so,ao,lo)},io),ro}function keyMapper(eo,to){return to}function entryMapper(eo,to){return[to,eo]}function not(eo){return function(){return!eo.apply(this,arguments)}}function neg(eo){return function(){return-eo.apply(this,arguments)}}function defaultZipper(){return arrCopy(arguments)}function defaultNegComparator(eo,to){return eo<to?1:eo>to?-1:0}function hashCollection(eo){if(eo.size===1/0)return 0;var to=isOrdered(eo),ro=isKeyed(eo),no=to?1:0,oo=eo.__iterate(ro?to?function(io,so){no=31*no+hashMerge(hash$2(io),hash$2(so))|0}:function(io,so){no=no+hashMerge(hash$2(io),hash$2(so))|0}:to?function(io){no=31*no+hash$2(io)|0}:function(io){no=no+hash$2(io)|0});return murmurHashOfSize(oo,no)}function murmurHashOfSize(eo,to){return to=imul(to,3432918353),to=imul(to<<15|to>>>-15,461845907),to=imul(to<<13|to>>>-13,5),to=(to+3864292196|0)^eo,to=imul(to^to>>>16,2246822507),to=imul(to^to>>>13,3266489909),to=smi(to^to>>>16),to}function hashMerge(eo,to){return eo^to+2654435769+(eo<<6)+(eo>>2)|0}var OrderedSet=function(eo){function to(ro){return ro==null?emptyOrderedSet():isOrderedSet(ro)?ro:emptyOrderedSet().withMutations(function(no){var oo=SetCollection(ro);assertNotInfinite(oo.size),oo.forEach(function(io){return no.add(io)})})}return eo&&(to.__proto__=eo),to.prototype=Object.create(eo&&eo.prototype),to.prototype.constructor=to,to.of=function(){return this(arguments)},to.fromKeys=function(no){return this(KeyedCollection(no).keySeq())},to.prototype.toString=function(){return this.__toString("OrderedSet {","}")},to}(Set$1);OrderedSet.isOrderedSet=isOrderedSet;var OrderedSetPrototype=OrderedSet.prototype;OrderedSetPrototype[IS_ORDERED_SYMBOL]=!0;OrderedSetPrototype.zip=IndexedCollectionPrototype.zip;OrderedSetPrototype.zipWith=IndexedCollectionPrototype.zipWith;OrderedSetPrototype.zipAll=IndexedCollectionPrototype.zipAll;OrderedSetPrototype.__empty=emptyOrderedSet;OrderedSetPrototype.__make=makeOrderedSet;function makeOrderedSet(eo,to){var ro=Object.create(OrderedSetPrototype);return ro.size=eo?eo.size:0,ro._map=eo,ro.__ownerID=to,ro}var EMPTY_ORDERED_SET;function emptyOrderedSet(){return EMPTY_ORDERED_SET||(EMPTY_ORDERED_SET=makeOrderedSet(emptyOrderedMap()))}function throwOnInvalidDefaultValues(eo){if(isRecord(eo))throw new Error("Can not call `Record` with an immutable Record as default values. Use a plain javascript object instead.");if(isImmutable(eo))throw new Error("Can not call `Record` with an immutable Collection as default values. Use a plain javascript object instead.");if(eo===null||typeof eo!="object")throw new Error("Can not call `Record` with a non-object as default values. Use a plain javascript object instead.")}var Record=function(to,ro){var no;throwOnInvalidDefaultValues(to);var oo=function(ao){var lo=this;if(ao instanceof oo)return ao;if(!(this instanceof oo))return new oo(ao);if(!no){no=!0;var uo=Object.keys(to),co=io._indices={};io._name=ro,io._keys=uo,io._defaultValues=to;for(var fo=0;fo<uo.length;fo++){var ho=uo[fo];co[ho]=fo,io[ho]?typeof console=="object"&&console.warn&&console.warn("Cannot define "+recordName(this)+' with property "'+ho+'" since that property name is part of the Record API.'):setProp(io,ho)}}return this.__ownerID=void 0,this._values=List$1().withMutations(function(po){po.setSize(lo._keys.length),KeyedCollection(ao).forEach(function(go,vo){po.set(lo._indices[vo],go===lo._defaultValues[vo]?void 0:go)})}),this},io=oo.prototype=Object.create(RecordPrototype);return io.constructor=oo,ro&&(oo.displayName=ro),oo};Record.prototype.toString=function(){for(var to=recordName(this)+" { ",ro=this._keys,no,oo=0,io=ro.length;oo!==io;oo++)no=ro[oo],to+=(oo?", ":"")+no+": "+quoteString(this.get(no));return to+" }"};Record.prototype.equals=function(to){return this===to||isRecord(to)&&recordSeq(this).equals(recordSeq(to))};Record.prototype.hashCode=function(){return recordSeq(this).hashCode()};Record.prototype.has=function(to){return this._indices.hasOwnProperty(to)};Record.prototype.get=function(to,ro){if(!this.has(to))return ro;var no=this._indices[to],oo=this._values.get(no);return oo===void 0?this._defaultValues[to]:oo};Record.prototype.set=function(to,ro){if(this.has(to)){var no=this._values.set(this._indices[to],ro===this._defaultValues[to]?void 0:ro);if(no!==this._values&&!this.__ownerID)return makeRecord(this,no)}return this};Record.prototype.remove=function(to){return this.set(to)};Record.prototype.clear=function(){var to=this._values.clear().setSize(this._keys.length);return this.__ownerID?this:makeRecord(this,to)};Record.prototype.wasAltered=function(){return this._values.wasAltered()};Record.prototype.toSeq=function(){return recordSeq(this)};Record.prototype.toJS=function(){return toJS(this)};Record.prototype.entries=function(){return this.__iterator(ITERATE_ENTRIES)};Record.prototype.__iterator=function(to,ro){return recordSeq(this).__iterator(to,ro)};Record.prototype.__iterate=function(to,ro){return recordSeq(this).__iterate(to,ro)};Record.prototype.__ensureOwner=function(to){if(to===this.__ownerID)return this;var ro=this._values.__ensureOwner(to);return to?makeRecord(this,ro,to):(this.__ownerID=to,this._values=ro,this)};Record.isRecord=isRecord;Record.getDescriptiveName=recordName;var RecordPrototype=Record.prototype;RecordPrototype[IS_RECORD_SYMBOL]=!0;RecordPrototype[DELETE]=RecordPrototype.remove;RecordPrototype.deleteIn=RecordPrototype.removeIn=deleteIn;RecordPrototype.getIn=getIn;RecordPrototype.hasIn=CollectionPrototype.hasIn;RecordPrototype.merge=merge$1$1;RecordPrototype.mergeWith=mergeWith$1;RecordPrototype.mergeIn=mergeIn;RecordPrototype.mergeDeep=mergeDeep;RecordPrototype.mergeDeepWith=mergeDeepWith;RecordPrototype.mergeDeepIn=mergeDeepIn;RecordPrototype.setIn=setIn;RecordPrototype.update=update;RecordPrototype.updateIn=updateIn;RecordPrototype.withMutations=withMutations;RecordPrototype.asMutable=asMutable;RecordPrototype.asImmutable=asImmutable;RecordPrototype[ITERATOR_SYMBOL]=RecordPrototype.entries;RecordPrototype.toJSON=RecordPrototype.toObject=CollectionPrototype.toObject;RecordPrototype.inspect=RecordPrototype.toSource=function(){return this.toString()};function makeRecord(eo,to,ro){var no=Object.create(Object.getPrototypeOf(eo));return no._values=to,no.__ownerID=ro,no}function recordName(eo){return eo.constructor.displayName||eo.constructor.name||"Record"}function recordSeq(eo){return keyedSeqFromValue(eo._keys.map(function(to){return[to,eo.get(to)]}))}function setProp(eo,to){try{Object.defineProperty(eo,to,{get:function(){return this.get(to)},set:function(ro){invariant$1(this.__ownerID,"Cannot set on an immutable record."),this.set(to,ro)}})}catch{}}/*! *****************************************************************************
+Copyright (c) Microsoft Corporation.
+
+Permission to use, copy, modify, and/or distribute this software for any
+purpose with or without fee is hereby granted.
+
+THE SOFTWARE IS PROVIDED "AS IS" AND THE AUTHOR DISCLAIMS ALL WARRANTIES WITH
+REGARD TO THIS SOFTWARE INCLUDING ALL IMPLIED WARRANTIES OF MERCHANTABILITY
+AND FITNESS. IN NO EVENT SHALL THE AUTHOR BE LIABLE FOR ANY SPECIAL, DIRECT,
+INDIRECT, OR CONSEQUENTIAL DAMAGES OR ANY DAMAGES WHATSOEVER RESULTING FROM
+LOSS OF USE, DATA OR PROFITS, WHETHER IN AN ACTION OF CONTRACT, NEGLIGENCE OR
+OTHER TORTIOUS ACTION, ARISING OUT OF OR IN CONNECTION WITH THE USE OR
+PERFORMANCE OF THIS SOFTWARE.
+***************************************************************************** */var extendStatics=function(eo,to){return extendStatics=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(ro,no){ro.__proto__=no}||function(ro,no){for(var oo in no)no.hasOwnProperty(oo)&&(ro[oo]=no[oo])},extendStatics(eo,to)};function __extends$2(eo,to){extendStatics(eo,to);function ro(){this.constructor=eo}eo.prototype=to===null?Object.create(to):(ro.prototype=to.prototype,new ro)}function isFunction$2(eo){return typeof eo=="function"}var _enable_super_gross_mode_that_will_cause_bad_things=!1,config$3={Promise:void 0,set useDeprecatedSynchronousErrorHandling(eo){if(eo){var to=new Error;""+to.stack}_enable_super_gross_mode_that_will_cause_bad_things=eo},get useDeprecatedSynchronousErrorHandling(){return _enable_super_gross_mode_that_will_cause_bad_things}};function hostReportError(eo){setTimeout(function(){throw eo},0)}var empty$1={closed:!0,next:function(eo){},error:function(eo){if(config$3.useDeprecatedSynchronousErrorHandling)throw eo;hostReportError(eo)},complete:function(){}},isArray=function(){return Array.isArray||function(eo){return eo&&typeof eo.length=="number"}}();function isObject$4(eo){return eo!==null&&typeof eo=="object"}var UnsubscriptionErrorImpl=function(){function eo(to){return Error.call(this),this.message=to?to.length+` errors occurred during unsubscription:
+`+to.map(function(ro,no){return no+1+") "+ro.toString()}).join(`
+  `):"",this.name="UnsubscriptionError",this.errors=to,this}return eo.prototype=Object.create(Error.prototype),eo}(),UnsubscriptionError=UnsubscriptionErrorImpl,Subscription=function(){function eo(to){this.closed=!1,this._parentOrParents=null,this._subscriptions=null,to&&(this._ctorUnsubscribe=!0,this._unsubscribe=to)}return eo.prototype.unsubscribe=function(){var to;if(!this.closed){var ro=this,no=ro._parentOrParents,oo=ro._ctorUnsubscribe,io=ro._unsubscribe,so=ro._subscriptions;if(this.closed=!0,this._parentOrParents=null,this._subscriptions=null,no instanceof eo)no.remove(this);else if(no!==null)for(var ao=0;ao<no.length;++ao){var lo=no[ao];lo.remove(this)}if(isFunction$2(io)){oo&&(this._unsubscribe=void 0);try{io.call(this)}catch(fo){to=fo instanceof UnsubscriptionError?flattenUnsubscriptionErrors(fo.errors):[fo]}}if(isArray(so))for(var ao=-1,uo=so.length;++ao<uo;){var co=so[ao];if(isObject$4(co))try{co.unsubscribe()}catch(ho){to=to||[],ho instanceof UnsubscriptionError?to=to.concat(flattenUnsubscriptionErrors(ho.errors)):to.push(ho)}}if(to)throw new UnsubscriptionError(to)}},eo.prototype.add=function(to){var ro=to;if(!to)return eo.EMPTY;switch(typeof to){case"function":ro=new eo(to);case"object":if(ro===this||ro.closed||typeof ro.unsubscribe!="function")return ro;if(this.closed)return ro.unsubscribe(),ro;if(!(ro instanceof eo)){var no=ro;ro=new eo,ro._subscriptions=[no]}break;default:throw new Error("unrecognized teardown "+to+" added to Subscription.")}var oo=ro._parentOrParents;if(oo===null)ro._parentOrParents=this;else if(oo instanceof eo){if(oo===this)return ro;ro._parentOrParents=[oo,this]}else if(oo.indexOf(this)===-1)oo.push(this);else return ro;var io=this._subscriptions;return io===null?this._subscriptions=[ro]:io.push(ro),ro},eo.prototype.remove=function(to){var ro=this._subscriptions;if(ro){var no=ro.indexOf(to);no!==-1&&ro.splice(no,1)}},eo.EMPTY=function(to){return to.closed=!0,to}(new eo),eo}();function flattenUnsubscriptionErrors(eo){return eo.reduce(function(to,ro){return to.concat(ro instanceof UnsubscriptionError?ro.errors:ro)},[])}var rxSubscriber=function(){return typeof Symbol=="function"?Symbol("rxSubscriber"):"@@rxSubscriber_"+Math.random()}(),Subscriber$1=function(eo){__extends$2(to,eo);function to(ro,no,oo){var io=eo.call(this)||this;switch(io.syncErrorValue=null,io.syncErrorThrown=!1,io.syncErrorThrowable=!1,io.isStopped=!1,arguments.length){case 0:io.destination=empty$1;break;case 1:if(!ro){io.destination=empty$1;break}if(typeof ro=="object"){ro instanceof to?(io.syncErrorThrowable=ro.syncErrorThrowable,io.destination=ro,ro.add(io)):(io.syncErrorThrowable=!0,io.destination=new SafeSubscriber(io,ro));break}default:io.syncErrorThrowable=!0,io.destination=new SafeSubscriber(io,ro,no,oo);break}return io}return to.prototype[rxSubscriber]=function(){return this},to.create=function(ro,no,oo){var io=new to(ro,no,oo);return io.syncErrorThrowable=!1,io},to.prototype.next=function(ro){this.isStopped||this._next(ro)},to.prototype.error=function(ro){this.isStopped||(this.isStopped=!0,this._error(ro))},to.prototype.complete=function(){this.isStopped||(this.isStopped=!0,this._complete())},to.prototype.unsubscribe=function(){this.closed||(this.isStopped=!0,eo.prototype.unsubscribe.call(this))},to.prototype._next=function(ro){this.destination.next(ro)},to.prototype._error=function(ro){this.destination.error(ro),this.unsubscribe()},to.prototype._complete=function(){this.destination.complete(),this.unsubscribe()},to.prototype._unsubscribeAndRecycle=function(){var ro=this._parentOrParents;return this._parentOrParents=null,this.unsubscribe(),this.closed=!1,this.isStopped=!1,this._parentOrParents=ro,this},to}(Subscription),SafeSubscriber=function(eo){__extends$2(to,eo);function to(ro,no,oo,io){var so=eo.call(this)||this;so._parentSubscriber=ro;var ao,lo=so;return isFunction$2(no)?ao=no:no&&(ao=no.next,oo=no.error,io=no.complete,no!==empty$1&&(lo=Object.create(no),isFunction$2(lo.unsubscribe)&&so.add(lo.unsubscribe.bind(lo)),lo.unsubscribe=so.unsubscribe.bind(so))),so._context=lo,so._next=ao,so._error=oo,so._complete=io,so}return to.prototype.next=function(ro){if(!this.isStopped&&this._next){var no=this._parentSubscriber;!config$3.useDeprecatedSynchronousErrorHandling||!no.syncErrorThrowable?this.__tryOrUnsub(this._next,ro):this.__tryOrSetError(no,this._next,ro)&&this.unsubscribe()}},to.prototype.error=function(ro){if(!this.isStopped){var no=this._parentSubscriber,oo=config$3.useDeprecatedSynchronousErrorHandling;if(this._error)!oo||!no.syncErrorThrowable?(this.__tryOrUnsub(this._error,ro),this.unsubscribe()):(this.__tryOrSetError(no,this._error,ro),this.unsubscribe());else if(no.syncErrorThrowable)oo?(no.syncErrorValue=ro,no.syncErrorThrown=!0):hostReportError(ro),this.unsubscribe();else{if(this.unsubscribe(),oo)throw ro;hostReportError(ro)}}},to.prototype.complete=function(){var ro=this;if(!this.isStopped){var no=this._parentSubscriber;if(this._complete){var oo=function(){return ro._complete.call(ro._context)};!config$3.useDeprecatedSynchronousErrorHandling||!no.syncErrorThrowable?(this.__tryOrUnsub(oo),this.unsubscribe()):(this.__tryOrSetError(no,oo),this.unsubscribe())}else this.unsubscribe()}},to.prototype.__tryOrUnsub=function(ro,no){try{ro.call(this._context,no)}catch(oo){if(this.unsubscribe(),config$3.useDeprecatedSynchronousErrorHandling)throw oo;hostReportError(oo)}},to.prototype.__tryOrSetError=function(ro,no,oo){if(!config$3.useDeprecatedSynchronousErrorHandling)throw new Error("bad call");try{no.call(this._context,oo)}catch(io){return config$3.useDeprecatedSynchronousErrorHandling?(ro.syncErrorValue=io,ro.syncErrorThrown=!0,!0):(hostReportError(io),!0)}return!1},to.prototype._unsubscribe=function(){var ro=this._parentSubscriber;this._context=null,this._parentSubscriber=null,ro.unsubscribe()},to}(Subscriber$1);function canReportError(eo){for(;eo;){var to=eo,ro=to.closed,no=to.destination,oo=to.isStopped;if(ro||oo)return!1;no&&no instanceof Subscriber$1?eo=no:eo=null}return!0}function toSubscriber(eo,to,ro){if(eo){if(eo instanceof Subscriber$1)return eo;if(eo[rxSubscriber])return eo[rxSubscriber]()}return!eo&&!to&&!ro?new Subscriber$1(empty$1):new Subscriber$1(eo,to,ro)}var observable$1=function(){return typeof Symbol=="function"&&Symbol.observable||"@@observable"}();function identity$1(eo){return eo}function pipeFromArray(eo){return eo.length===0?identity$1:eo.length===1?eo[0]:function(ro){return eo.reduce(function(no,oo){return oo(no)},ro)}}var Observable$2=function(){function eo(to){this._isScalar=!1,to&&(this._subscribe=to)}return eo.prototype.lift=function(to){var ro=new eo;return ro.source=this,ro.operator=to,ro},eo.prototype.subscribe=function(to,ro,no){var oo=this.operator,io=toSubscriber(to,ro,no);if(oo?io.add(oo.call(io,this.source)):io.add(this.source||config$3.useDeprecatedSynchronousErrorHandling&&!io.syncErrorThrowable?this._subscribe(io):this._trySubscribe(io)),config$3.useDeprecatedSynchronousErrorHandling&&io.syncErrorThrowable&&(io.syncErrorThrowable=!1,io.syncErrorThrown))throw io.syncErrorValue;return io},eo.prototype._trySubscribe=function(to){try{return this._subscribe(to)}catch(ro){config$3.useDeprecatedSynchronousErrorHandling&&(to.syncErrorThrown=!0,to.syncErrorValue=ro),canReportError(to)?to.error(ro):console.warn(ro)}},eo.prototype.forEach=function(to,ro){var no=this;return ro=getPromiseCtor(ro),new ro(function(oo,io){var so;so=no.subscribe(function(ao){try{to(ao)}catch(lo){io(lo),so&&so.unsubscribe()}},io,oo)})},eo.prototype._subscribe=function(to){var ro=this.source;return ro&&ro.subscribe(to)},eo.prototype[observable$1]=function(){return this},eo.prototype.pipe=function(){for(var to=[],ro=0;ro<arguments.length;ro++)to[ro]=arguments[ro];return to.length===0?this:pipeFromArray(to)(this)},eo.prototype.toPromise=function(to){var ro=this;return to=getPromiseCtor(to),new to(function(no,oo){var io;ro.subscribe(function(so){return io=so},function(so){return oo(so)},function(){return no(io)})})},eo.create=function(to){return new eo(to)},eo}();function getPromiseCtor(eo){if(eo||(eo=Promise),!eo)throw new Error("no Promise impl found");return eo}var ObjectUnsubscribedErrorImpl=function(){function eo(){return Error.call(this),this.message="object unsubscribed",this.name="ObjectUnsubscribedError",this}return eo.prototype=Object.create(Error.prototype),eo}(),ObjectUnsubscribedError=ObjectUnsubscribedErrorImpl,SubjectSubscription=function(eo){__extends$2(to,eo);function to(ro,no){var oo=eo.call(this)||this;return oo.subject=ro,oo.subscriber=no,oo.closed=!1,oo}return to.prototype.unsubscribe=function(){if(!this.closed){this.closed=!0;var ro=this.subject,no=ro.observers;if(this.subject=null,!(!no||no.length===0||ro.isStopped||ro.closed)){var oo=no.indexOf(this.subscriber);oo!==-1&&no.splice(oo,1)}}},to}(Subscription),SubjectSubscriber=function(eo){__extends$2(to,eo);function to(ro){var no=eo.call(this,ro)||this;return no.destination=ro,no}return to}(Subscriber$1),Subject=function(eo){__extends$2(to,eo);function to(){var ro=eo.call(this)||this;return ro.observers=[],ro.closed=!1,ro.isStopped=!1,ro.hasError=!1,ro.thrownError=null,ro}return to.prototype[rxSubscriber]=function(){return new SubjectSubscriber(this)},to.prototype.lift=function(ro){var no=new AnonymousSubject(this,this);return no.operator=ro,no},to.prototype.next=function(ro){if(this.closed)throw new ObjectUnsubscribedError;if(!this.isStopped)for(var no=this.observers,oo=no.length,io=no.slice(),so=0;so<oo;so++)io[so].next(ro)},to.prototype.error=function(ro){if(this.closed)throw new ObjectUnsubscribedError;this.hasError=!0,this.thrownError=ro,this.isStopped=!0;for(var no=this.observers,oo=no.length,io=no.slice(),so=0;so<oo;so++)io[so].error(ro);this.observers.length=0},to.prototype.complete=function(){if(this.closed)throw new ObjectUnsubscribedError;this.isStopped=!0;for(var ro=this.observers,no=ro.length,oo=ro.slice(),io=0;io<no;io++)oo[io].complete();this.observers.length=0},to.prototype.unsubscribe=function(){this.isStopped=!0,this.closed=!0,this.observers=null},to.prototype._trySubscribe=function(ro){if(this.closed)throw new ObjectUnsubscribedError;return eo.prototype._trySubscribe.call(this,ro)},to.prototype._subscribe=function(ro){if(this.closed)throw new ObjectUnsubscribedError;return this.hasError?(ro.error(this.thrownError),Subscription.EMPTY):this.isStopped?(ro.complete(),Subscription.EMPTY):(this.observers.push(ro),new SubjectSubscription(this,ro))},to.prototype.asObservable=function(){var ro=new Observable$2;return ro.source=this,ro},to.create=function(ro,no){return new AnonymousSubject(ro,no)},to}(Observable$2),AnonymousSubject=function(eo){__extends$2(to,eo);function to(ro,no){var oo=eo.call(this)||this;return oo.destination=ro,oo.source=no,oo}return to.prototype.next=function(ro){var no=this.destination;no&&no.next&&no.next(ro)},to.prototype.error=function(ro){var no=this.destination;no&&no.error&&this.destination.error(ro)},to.prototype.complete=function(){var ro=this.destination;ro&&ro.complete&&this.destination.complete()},to.prototype._subscribe=function(ro){var no=this.source;return no?this.source.subscribe(ro):Subscription.EMPTY},to}(Subject),BehaviorSubject=function(eo){__extends$2(to,eo);function to(ro){var no=eo.call(this)||this;return no._value=ro,no}return Object.defineProperty(to.prototype,"value",{get:function(){return this.getValue()},enumerable:!0,configurable:!0}),to.prototype._subscribe=function(ro){var no=eo.prototype._subscribe.call(this,ro);return no&&!no.closed&&ro.next(this._value),no},to.prototype.getValue=function(){if(this.hasError)throw this.thrownError;if(this.closed)throw new ObjectUnsubscribedError;return this._value},to.prototype.next=function(ro){eo.prototype.next.call(this,this._value=ro)},to}(Subject),Action=function(eo){__extends$2(to,eo);function to(ro,no){return eo.call(this)||this}return to.prototype.schedule=function(ro,no){return this},to}(Subscription),AsyncAction=function(eo){__extends$2(to,eo);function to(ro,no){var oo=eo.call(this,ro,no)||this;return oo.scheduler=ro,oo.work=no,oo.pending=!1,oo}return to.prototype.schedule=function(ro,no){if(no===void 0&&(no=0),this.closed)return this;this.state=ro;var oo=this.id,io=this.scheduler;return oo!=null&&(this.id=this.recycleAsyncId(io,oo,no)),this.pending=!0,this.delay=no,this.id=this.id||this.requestAsyncId(io,this.id,no),this},to.prototype.requestAsyncId=function(ro,no,oo){return oo===void 0&&(oo=0),setInterval(ro.flush.bind(ro,this),oo)},to.prototype.recycleAsyncId=function(ro,no,oo){if(oo===void 0&&(oo=0),oo!==null&&this.delay===oo&&this.pending===!1)return no;clearInterval(no)},to.prototype.execute=function(ro,no){if(this.closed)return new Error("executing a cancelled action");this.pending=!1;var oo=this._execute(ro,no);if(oo)return oo;this.pending===!1&&this.id!=null&&(this.id=this.recycleAsyncId(this.scheduler,this.id,null))},to.prototype._execute=function(ro,no){var oo=!1,io=void 0;try{this.work(ro)}catch(so){oo=!0,io=!!so&&so||new Error(so)}if(oo)return this.unsubscribe(),io},to.prototype._unsubscribe=function(){var ro=this.id,no=this.scheduler,oo=no.actions,io=oo.indexOf(this);this.work=null,this.state=null,this.pending=!1,this.scheduler=null,io!==-1&&oo.splice(io,1),ro!=null&&(this.id=this.recycleAsyncId(no,ro,null)),this.delay=null},to}(Action),Scheduler=function(){function eo(to,ro){ro===void 0&&(ro=eo.now),this.SchedulerAction=to,this.now=ro}return eo.prototype.schedule=function(to,ro,no){return ro===void 0&&(ro=0),new this.SchedulerAction(this,to).schedule(no,ro)},eo.now=function(){return Date.now()},eo}(),AsyncScheduler=function(eo){__extends$2(to,eo);function to(ro,no){no===void 0&&(no=Scheduler.now);var oo=eo.call(this,ro,function(){return to.delegate&&to.delegate!==oo?to.delegate.now():no()})||this;return oo.actions=[],oo.active=!1,oo.scheduled=void 0,oo}return to.prototype.schedule=function(ro,no,oo){return no===void 0&&(no=0),to.delegate&&to.delegate!==this?to.delegate.schedule(ro,no,oo):eo.prototype.schedule.call(this,ro,no,oo)},to.prototype.flush=function(ro){var no=this.actions;if(this.active){no.push(ro);return}var oo;this.active=!0;do if(oo=ro.execute(ro.state,ro.delay))break;while(ro=no.shift());if(this.active=!1,oo){for(;ro=no.shift();)ro.unsubscribe();throw oo}},to}(Scheduler);function isScheduler(eo){return eo&&typeof eo.schedule=="function"}var subscribeToArray=function(eo){return function(to){for(var ro=0,no=eo.length;ro<no&&!to.closed;ro++)to.next(eo[ro]);to.complete()}};function scheduleArray(eo,to){return new Observable$2(function(ro){var no=new Subscription,oo=0;return no.add(to.schedule(function(){if(oo===eo.length){ro.complete();return}ro.next(eo[oo++]),ro.closed||no.add(this.schedule())})),no})}function fromArray(eo,to){return to?scheduleArray(eo,to):new Observable$2(subscribeToArray(eo))}function of(){for(var eo=[],to=0;to<arguments.length;to++)eo[to]=arguments[to];var ro=eo[eo.length-1];return isScheduler(ro)?(eo.pop(),scheduleArray(eo,ro)):fromArray(eo)}var asyncScheduler=new AsyncScheduler(AsyncAction),async=asyncScheduler;function map$1(eo,to){return function(no){if(typeof eo!="function")throw new TypeError("argument is not a function. Are you looking for `mapTo()`?");return no.lift(new MapOperator(eo,to))}}var MapOperator=function(){function eo(to,ro){this.project=to,this.thisArg=ro}return eo.prototype.call=function(to,ro){return ro.subscribe(new MapSubscriber(to,this.project,this.thisArg))},eo}(),MapSubscriber=function(eo){__extends$2(to,eo);function to(ro,no,oo){var io=eo.call(this,ro)||this;return io.project=no,io.count=0,io.thisArg=oo||io,io}return to.prototype._next=function(ro){var no;try{no=this.project.call(this.thisArg,ro,this.count++)}catch(oo){this.destination.error(oo);return}this.destination.next(no)},to}(Subscriber$1),OuterSubscriber=function(eo){__extends$2(to,eo);function to(){return eo!==null&&eo.apply(this,arguments)||this}return to.prototype.notifyNext=function(ro,no,oo,io,so){this.destination.next(no)},to.prototype.notifyError=function(ro,no){this.destination.error(ro)},to.prototype.notifyComplete=function(ro){this.destination.complete()},to}(Subscriber$1),InnerSubscriber=function(eo){__extends$2(to,eo);function to(ro,no,oo){var io=eo.call(this)||this;return io.parent=ro,io.outerValue=no,io.outerIndex=oo,io.index=0,io}return to.prototype._next=function(ro){this.parent.notifyNext(this.outerValue,ro,this.outerIndex,this.index++,this)},to.prototype._error=function(ro){this.parent.notifyError(ro,this),this.unsubscribe()},to.prototype._complete=function(){this.parent.notifyComplete(this),this.unsubscribe()},to}(Subscriber$1),subscribeToPromise=function(eo){return function(to){return eo.then(function(ro){to.closed||(to.next(ro),to.complete())},function(ro){return to.error(ro)}).then(null,hostReportError),to}};function getSymbolIterator(){return typeof Symbol!="function"||!Symbol.iterator?"@@iterator":Symbol.iterator}var iterator=getSymbolIterator(),subscribeToIterable=function(eo){return function(to){var ro=eo[iterator]();do{var no=void 0;try{no=ro.next()}catch(oo){return to.error(oo),to}if(no.done){to.complete();break}if(to.next(no.value),to.closed)break}while(!0);return typeof ro.return=="function"&&to.add(function(){ro.return&&ro.return()}),to}},subscribeToObservable=function(eo){return function(to){var ro=eo[observable$1]();if(typeof ro.subscribe!="function")throw new TypeError("Provided object does not correctly implement Symbol.observable");return ro.subscribe(to)}},isArrayLike=function(eo){return eo&&typeof eo.length=="number"&&typeof eo!="function"};function isPromise(eo){return!!eo&&typeof eo.subscribe!="function"&&typeof eo.then=="function"}var subscribeTo=function(eo){if(eo&&typeof eo[observable$1]=="function")return subscribeToObservable(eo);if(isArrayLike(eo))return subscribeToArray(eo);if(isPromise(eo))return subscribeToPromise(eo);if(eo&&typeof eo[iterator]=="function")return subscribeToIterable(eo);var to=isObject$4(eo)?"an invalid object":"'"+eo+"'",ro="You provided "+to+" where a stream was expected. You can provide an Observable, Promise, Array, or Iterable.";throw new TypeError(ro)};function subscribeToResult(eo,to,ro,no,oo){if(oo===void 0&&(oo=new InnerSubscriber(eo,ro,no)),!oo.closed)return to instanceof Observable$2?to.subscribe(oo):subscribeTo(to)(oo)}var NONE={};function combineLatest(){for(var eo=[],to=0;to<arguments.length;to++)eo[to]=arguments[to];var ro=void 0,no=void 0;return isScheduler(eo[eo.length-1])&&(no=eo.pop()),typeof eo[eo.length-1]=="function"&&(ro=eo.pop()),eo.length===1&&isArray(eo[0])&&(eo=eo[0]),fromArray(eo,no).lift(new CombineLatestOperator(ro))}var CombineLatestOperator=function(){function eo(to){this.resultSelector=to}return eo.prototype.call=function(to,ro){return ro.subscribe(new CombineLatestSubscriber(to,this.resultSelector))},eo}(),CombineLatestSubscriber=function(eo){__extends$2(to,eo);function to(ro,no){var oo=eo.call(this,ro)||this;return oo.resultSelector=no,oo.active=0,oo.values=[],oo.observables=[],oo}return to.prototype._next=function(ro){this.values.push(NONE),this.observables.push(ro)},to.prototype._complete=function(){var ro=this.observables,no=ro.length;if(no===0)this.destination.complete();else{this.active=no,this.toRespond=no;for(var oo=0;oo<no;oo++){var io=ro[oo];this.add(subscribeToResult(this,io,void 0,oo))}}},to.prototype.notifyComplete=function(ro){(this.active-=1)===0&&this.destination.complete()},to.prototype.notifyNext=function(ro,no,oo){var io=this.values,so=io[oo],ao=this.toRespond?so===NONE?--this.toRespond:this.toRespond:0;io[oo]=no,ao===0&&(this.resultSelector?this._tryResultSelector(io):this.destination.next(io.slice()))},to.prototype._tryResultSelector=function(ro){var no;try{no=this.resultSelector.apply(this,ro)}catch(oo){this.destination.error(oo);return}this.destination.next(no)},to}(OuterSubscriber);function scheduleObservable(eo,to){return new Observable$2(function(ro){var no=new Subscription;return no.add(to.schedule(function(){var oo=eo[observable$1]();no.add(oo.subscribe({next:function(io){no.add(to.schedule(function(){return ro.next(io)}))},error:function(io){no.add(to.schedule(function(){return ro.error(io)}))},complete:function(){no.add(to.schedule(function(){return ro.complete()}))}}))})),no})}function schedulePromise(eo,to){return new Observable$2(function(ro){var no=new Subscription;return no.add(to.schedule(function(){return eo.then(function(oo){no.add(to.schedule(function(){ro.next(oo),no.add(to.schedule(function(){return ro.complete()}))}))},function(oo){no.add(to.schedule(function(){return ro.error(oo)}))})})),no})}function scheduleIterable(eo,to){if(!eo)throw new Error("Iterable cannot be null");return new Observable$2(function(ro){var no=new Subscription,oo;return no.add(function(){oo&&typeof oo.return=="function"&&oo.return()}),no.add(to.schedule(function(){oo=eo[iterator](),no.add(to.schedule(function(){if(!ro.closed){var io,so;try{var ao=oo.next();io=ao.value,so=ao.done}catch(lo){ro.error(lo);return}so?ro.complete():(ro.next(io),this.schedule())}}))})),no})}function isInteropObservable(eo){return eo&&typeof eo[observable$1]=="function"}function isIterable(eo){return eo&&typeof eo[iterator]=="function"}function scheduled(eo,to){if(eo!=null){if(isInteropObservable(eo))return scheduleObservable(eo,to);if(isPromise(eo))return schedulePromise(eo,to);if(isArrayLike(eo))return scheduleArray(eo,to);if(isIterable(eo)||typeof eo=="string")return scheduleIterable(eo,to)}throw new TypeError((eo!==null&&typeof eo||eo)+" is not observable")}function from$1(eo,to){return to?scheduled(eo,to):eo instanceof Observable$2?eo:new Observable$2(subscribeTo(eo))}var SimpleInnerSubscriber=function(eo){__extends$2(to,eo);function to(ro){var no=eo.call(this)||this;return no.parent=ro,no}return to.prototype._next=function(ro){this.parent.notifyNext(ro)},to.prototype._error=function(ro){this.parent.notifyError(ro),this.unsubscribe()},to.prototype._complete=function(){this.parent.notifyComplete(),this.unsubscribe()},to}(Subscriber$1),SimpleOuterSubscriber=function(eo){__extends$2(to,eo);function to(){return eo!==null&&eo.apply(this,arguments)||this}return to.prototype.notifyNext=function(ro){this.destination.next(ro)},to.prototype.notifyError=function(ro){this.destination.error(ro)},to.prototype.notifyComplete=function(){this.destination.complete()},to}(Subscriber$1);function innerSubscribe(eo,to){if(!to.closed){if(eo instanceof Observable$2)return eo.subscribe(to);var ro;try{ro=subscribeTo(eo)(to)}catch(no){to.error(no)}return ro}}function mergeMap(eo,to,ro){return ro===void 0&&(ro=Number.POSITIVE_INFINITY),typeof to=="function"?function(no){return no.pipe(mergeMap(function(oo,io){return from$1(eo(oo,io)).pipe(map$1(function(so,ao){return to(oo,so,io,ao)}))},ro))}:(typeof to=="number"&&(ro=to),function(no){return no.lift(new MergeMapOperator(eo,ro))})}var MergeMapOperator=function(){function eo(to,ro){ro===void 0&&(ro=Number.POSITIVE_INFINITY),this.project=to,this.concurrent=ro}return eo.prototype.call=function(to,ro){return ro.subscribe(new MergeMapSubscriber(to,this.project,this.concurrent))},eo}(),MergeMapSubscriber=function(eo){__extends$2(to,eo);function to(ro,no,oo){oo===void 0&&(oo=Number.POSITIVE_INFINITY);var io=eo.call(this,ro)||this;return io.project=no,io.concurrent=oo,io.hasCompleted=!1,io.buffer=[],io.active=0,io.index=0,io}return to.prototype._next=function(ro){this.active<this.concurrent?this._tryNext(ro):this.buffer.push(ro)},to.prototype._tryNext=function(ro){var no,oo=this.index++;try{no=this.project(ro,oo)}catch(io){this.destination.error(io);return}this.active++,this._innerSub(no)},to.prototype._innerSub=function(ro){var no=new SimpleInnerSubscriber(this),oo=this.destination;oo.add(no);var io=innerSubscribe(ro,no);io!==no&&oo.add(io)},to.prototype._complete=function(){this.hasCompleted=!0,this.active===0&&this.buffer.length===0&&this.destination.complete(),this.unsubscribe()},to.prototype.notifyNext=function(ro){this.destination.next(ro)},to.prototype.notifyComplete=function(){var ro=this.buffer;this.active--,ro.length>0?this._next(ro.shift()):this.active===0&&this.hasCompleted&&this.destination.complete()},to}(SimpleOuterSubscriber);function mergeAll(eo){return eo===void 0&&(eo=Number.POSITIVE_INFINITY),mergeMap(identity$1,eo)}function merge$2(){for(var eo=[],to=0;to<arguments.length;to++)eo[to]=arguments[to];var ro=Number.POSITIVE_INFINITY,no=null,oo=eo[eo.length-1];return isScheduler(oo)?(no=eo.pop(),eo.length>1&&typeof eo[eo.length-1]=="number"&&(ro=eo.pop())):typeof oo=="number"&&(ro=eo.pop()),no===null&&eo.length===1&&eo[0]instanceof Observable$2?eo[0]:mergeAll(ro)(fromArray(eo,no))}function filter(eo,to){return function(no){return no.lift(new FilterOperator(eo,to))}}var FilterOperator=function(){function eo(to,ro){this.predicate=to,this.thisArg=ro}return eo.prototype.call=function(to,ro){return ro.subscribe(new FilterSubscriber(to,this.predicate,this.thisArg))},eo}(),FilterSubscriber=function(eo){__extends$2(to,eo);function to(ro,no,oo){var io=eo.call(this,ro)||this;return io.predicate=no,io.thisArg=oo,io.count=0,io}return to.prototype._next=function(ro){var no;try{no=this.predicate.call(this.thisArg,ro,this.count++)}catch(oo){this.destination.error(oo);return}no&&this.destination.next(ro)},to}(Subscriber$1);function debounceTime(eo,to){return to===void 0&&(to=async),function(ro){return ro.lift(new DebounceTimeOperator(eo,to))}}var DebounceTimeOperator=function(){function eo(to,ro){this.dueTime=to,this.scheduler=ro}return eo.prototype.call=function(to,ro){return ro.subscribe(new DebounceTimeSubscriber(to,this.dueTime,this.scheduler))},eo}(),DebounceTimeSubscriber=function(eo){__extends$2(to,eo);function to(ro,no,oo){var io=eo.call(this,ro)||this;return io.dueTime=no,io.scheduler=oo,io.debouncedSubscription=null,io.lastValue=null,io.hasValue=!1,io}return to.prototype._next=function(ro){this.clearDebounce(),this.lastValue=ro,this.hasValue=!0,this.add(this.debouncedSubscription=this.scheduler.schedule(dispatchNext,this.dueTime,this))},to.prototype._complete=function(){this.debouncedNext(),this.destination.complete()},to.prototype.debouncedNext=function(){if(this.clearDebounce(),this.hasValue){var ro=this.lastValue;this.lastValue=null,this.hasValue=!1,this.destination.next(ro)}},to.prototype.clearDebounce=function(){var ro=this.debouncedSubscription;ro!==null&&(this.remove(ro),ro.unsubscribe(),this.debouncedSubscription=null)},to}(Subscriber$1);function dispatchNext(eo){eo.debouncedNext()}function e$4(){return e$4=Object.assign?Object.assign.bind():function(eo){for(var to=1;to<arguments.length;to++){var ro=arguments[to];for(var no in ro)Object.prototype.hasOwnProperty.call(ro,no)&&(eo[no]=ro[no])}return eo},e$4.apply(this,arguments)}const t$7=Symbol(),n$5=Symbol(),o$6=Symbol();function c$7(eo){if(eo[o$6]){const to=eo();return{key:to.key,options:to.options||{}}}return{key:eo,options:{optional:!1}}}function a$5(eo){return String(eo.name||eo)}const p$7=Symbol(),h$7={VALUE:"VALUE",CLASS:"CLASS",FACTORY:"FACTORY"},f$6={SINGLETON:"SINGLETON",TRANSIENT:"TRANSIENT",REQUEST:"REQUEST",CONTAINER_SINGLETON:"CONTAINER_SINGLETON"};let d$6=class{constructor(){this.pool=new Map,this.singletonCache=new Map,this.parent=void 0,this.currentCtx=null}add(to,ro,no){if(this.pool.get(to))throw new Error(`Key: ${a$5(to)} already exists`);this.pool.set(to,e$4({},no,{value:ro}))}unbind(to,ro=!0){const no=this.pool.get(to);if(no){const{unbind:oo}=no,io=this.singletonCache.get(to),so={dispose:ro,container:this,value:io};return this.pool.delete(to),this.singletonCache.delete(to),oo&&oo(so),void(io&&ro&&this.callDispose(io))}throw new Error(`Key: ${a$5(to)} not found`)}unbindAll(to=!0){for(const ro of this.pool.keys())this.unbind(ro,to);this.pool.clear(),this.singletonCache.clear()}clearAllInstances(){for(const to of this.singletonCache.values())this.callDispose(to);this.singletonCache.clear()}clearInstance(to){const ro=this.singletonCache.get(to);return!!ro&&(this.singletonCache.delete(to),this.callDispose(ro),!0)}callDispose(to){typeof to!="symbol"&&"dispose"in to&&typeof to.dispose=="function"&&to.dispose()}has(to,ro=!0){return ro&&this.parent?!!this.getInjectable(to):this.pool.has(to)}bindValue(to,ro){return this.add(to,ro,{type:h$7.VALUE,scope:f$6.SINGLETON,value:ro}),this}bindFactory(to,ro,no){const{exec:oo,inject:io}=this.parseValue(ro),so=function(...ao){return oo(...ao)};return so.inject=io,so.original=oo,this.add(to,so,e$4({},no,{type:h$7.FACTORY,scope:(no==null?void 0:no.scope)||f$6.TRANSIENT,value:ro})),this}parseValue(to){let ro,no;return typeof to!="function"?(ro=to.value,no=to.inject):(ro=to,no=to.inject),{exec:ro,inject:no}}bindClass(to,ro,no){const{exec:oo,inject:io}=this.parseValue(ro),so=function(...ao){return new oo(...ao)};return so.inject=io,so.original=oo,this.add(to,so,e$4({},no,{type:h$7.CLASS,scope:(no==null?void 0:no.scope)||f$6.TRANSIENT,value:ro})),this}resolve(to,ro){const no=this.currentCtx||{singletonCache:this.singletonCache,transientCache:new Map,requestCache:new Map,requestedKeys:new Map,delayed:new Map,postConstruct:[],ctx:ro},oo=this._resolve(to,{optional:!1},no);return no.delayed.forEach((io,so)=>{const ao=no.singletonCache.get(so)||no.requestCache.get(so)||no.transientCache.get(so);ao&&(io.proxyTarget.current=ao)}),no.postConstruct.forEach(io=>{io.postConstruct()}),this.currentCtx=null,oo}child(){const to=new this.constructor;return to.parent=this,to}getParent(){return this.parent}getInjectable(to){var ro;const no=this.pool.get(to);if(no)return{value:no,fromParent:!1};const oo=(ro=this.parent)==null?void 0:ro.getInjectable(to);return oo?{value:oo.value,fromParent:!0}:void 0}_resolve(to,ro,no){const oo=this.getInjectable(to);if((ro==null?void 0:ro.optional)===!0&&!oo)return;if(!oo)throw new Error(`Key: ${a$5(to)} not found`);const{value:{value:io,scope:so,type:ao},fromParent:lo}=oo;let uo,co=!1;if(ao===h$7.VALUE)return io;{const fo=no.requestedKeys.get(to);if(fo){if(!fo.constructed){if(!ro.lazy&&!lo){const ho=Array.from(no.requestedKeys.entries()).pop(),po=ho?`[ ${String(ho[0])}: ${ho[1].value.name} ]`:"";throw new Error(`Circular reference detected: ${po} -> [ ${a$5(to)}: ${io.name} ]`)}co=!0}}else no.requestedKeys.set(to,{constructed:!1,value:io})}return uo=co?()=>this.createLazy(to,ao,no):()=>this.create(to,oo.value,no),this.run(so,to,uo,no)}resolveDeps(to,ro){const no=[];for(const oo of to){const{key:io,options:so}=c$7(oo);if(Array.isArray(io)){const ao=[];for(const lo of io){let uo=ro.singletonCache.get(lo.key);uo===void 0&&(uo=this._resolve(lo.key,e$4({},lo.options),ro)),uo===void 0&&so.removeUndefined||ao.push(uo)}no.push(ao.length?ao:so.setToUndefinedIfEmpty?void 0:ao)}else{let ao=ro.singletonCache.get(io);ao===void 0&&(ao=this._resolve(io,e$4({},so),ro)),no.push(ao)}}return no}createLazy(to,ro,no){const oo=no.delayed.get(to);if(oo)return oo.proxy;const io=ro===h$7.CLASS?{}:function(){},so=function(ao,lo,uo){function co(){if(!ao.current)throw new Error(`Lazy target for key:${String(uo)} not yet set`);return ao.current}return new Proxy(ao,{apply:function(fo,ho){const po=co();return Reflect.apply(po,lo?po:void 0,ho)},construct:function(fo,ho){return Reflect.construct(co(),ho)},get:function(fo,ho,po){return ho===t$7?fo.current:ho===n$5||Reflect.get(co(),ho,po)},set:function(fo,ho,po){return Reflect.set(ho==="current"?fo:co(),ho,po)},defineProperty:function(fo,ho,po){return Reflect.defineProperty(co(),ho,po)},deleteProperty:function(fo,ho){return Reflect.deleteProperty(co(),ho)},getPrototypeOf:function(fo){return Reflect.getPrototypeOf(co())},setPrototypeOf:function(fo,ho){return Reflect.setPrototypeOf(co(),ho)},getOwnPropertyDescriptor:function(fo,ho){return Reflect.getOwnPropertyDescriptor(co(),ho)},has:function(fo,ho){return Reflect.has(co(),ho)},isExtensible:function(fo){return Reflect.isExtensible(co())},ownKeys:function(fo){return Reflect.ownKeys(co())},preventExtensions:function(fo){return Reflect.preventExtensions(co())}})}(io,ro===h$7.CLASS,to);return no.delayed.set(to,{proxy:so,proxyTarget:io}),so}create(to,ro,no){const{beforeResolve:oo,afterResolve:io,value:so,type:ao}=ro,lo=so.inject;let uo=[];lo&&(uo=Array.isArray(lo)?this.resolveDeps(lo,no):lo.fn({container:this,ctx:no.ctx},...this.resolveDeps(lo.deps,no)));const co=oo?oo({container:this,value:so.original,ctx:no.ctx},...uo):so(...uo);return io&&io({container:this,value:co,ctx:no.ctx}),no.requestedKeys.get(to).constructed=!0,ao==="CLASS"&&"postConstruct"in co&&no.postConstruct.push(co),co}run(to,ro,no,oo){if(to===f$6.SINGLETON||to===f$6.CONTAINER_SINGLETON){var io;if(!this.pool.has(ro)&&to===f$6.SINGLETON)return(io=this.parent)==null?void 0:io.resolve(ro);const ao=oo.singletonCache.get(ro);if(ao!==void 0)return ao===p$7?void 0:ao;{let lo=no();return lo===void 0&&(lo=p$7),this.singletonCache.set(ro,lo),lo}}if(f$6.REQUEST===to){const ao=oo.requestCache.get(ro);if(ao!==void 0)return ao===p$7?void 0:ao;{let lo=no();return lo===void 0&&(lo=p$7),oo.requestCache.set(ro,lo),lo}}const so=no();return oo.transientCache.set(ro,so),so}};function isClassProvider(eo){return hasOwn(eo,"useClass")}function isFactoryProvider(eo){return hasOwn(eo,"useFactory")}function isValueProvider(eo){return hasOwn(eo,"useValue")}function isTokenProvider(eo){return hasOwn(eo,"useToken")}const SINGLETON=Symbol("singleton");function isConstructor(eo){return typeof eo=="function"&&!!eo.inject}function getClassScope(eo){return eo[SINGLETON]?"SINGLETON":eo.scope?eo.scope:"TRANSIENT"}class DependencyContainer extends d$6{constructor(){super(...arguments),this.name="DependencyContainer"}bindValue(to,ro){return this.has(to,!1)&&this.unbind(to),super.bindValue(to,ro)}bindClass(to,ro,no){const oo=(no==null?void 0:no.scope)??getClassScope(to);return super.bindClass(to,ro,{...no,scope:oo})}register(to,ro){if(isValueProvider(ro))this.bindValue(to,ro.useValue);else if(isFactoryProvider(ro)){const{useFactory:no}=ro;this.bindFactory(to,{value:no,inject:[ContainerToken]},{scope:ro.scope})}else if(isTokenProvider(ro))this.bindFactory(to,{value:no=>no,inject:[ro.useToken]});else if(isClassProvider(ro)){const no=ro.scope??getClassScope(ro.useClass);this.bindClass(to,ro.useClass,{scope:no})}}_resolve(to,ro,no){if(!this.getInjectable(to)&&isConstructor(to)){const oo=getClassScope(to);this.bindClass(to,to,{scope:oo})}return super._resolve(to,ro,no)}}const getGlobalContainer=()=>{const eo=new DependencyContainer;return eo.name="global",eo},container=getGlobalContainer();function createInjectionToken(eo,to){return container.bindValue(eo,to),eo}const ContainerToken=createInjectionToken("DependencyContainer",container),ServicesContext=reactExports.createContext(container),createRegistry=({provide:eo,name:to})=>({containerRef:no,onInitialize:oo,onDispose:io,children:so})=>{const ao=reactExports.useContext(ServicesContext),lo=reactExports.useMemo(()=>{const uo=ao.child();return to&&(uo.name=to),eo==null||eo.forEach(co=>{uo.register(co.token,co)}),uo.bindValue(ContainerToken,uo),oo==null||oo(uo),uo},[oo,ao]);return reactExports.useImperativeHandle(no,()=>lo,[lo]),reactExports.useEffect(()=>()=>{io==null||io(lo),lo.unbindAll(!0)},[lo]),jsxRuntimeExports.jsx(ServicesContext.Provider,{value:lo,children:so})};createInjectionToken("isControlFlowEnabledToken",!1);createInjectionToken("isDoWhileLoopEnabledToken",!1);createInjectionToken("isAnnotationEnabledToken",!1);createInjectionToken("isDesignerUnifiedSubmissionFlowEnabledToken",!1);createInjectionToken("isPipelineComputeDatastoreEnabledToken",!1);createInjectionToken("TransactionalAuthoringEnabled",!1);createInjectionToken("ComponentSettingsEnabled",!1);createInjectionToken("isPipelineOwnerToken",!1);createInjectionToken("isExecutionPhaseEnabledToken",!1);createInjectionToken("isPipelineStreamingEnabledToken",!1);createInjectionToken("useFocusedNodeId",()=>{});createInjectionToken("useIsInSearchResult",()=>!1);createInjectionToken("dismissCompareCheckListPanel",()=>null);const promptFlowGraphReducer=eo=>(to,ro)=>eo(to,ro),graphReducer=()=>getGraphReducer(promptFlowGraphReducer);let Computed$1=class u_ extends Observable$2{constructor(to,ro){super(no=>this.state$.subscribe(no)),this.getSnapshot=()=>this.state$.getValue(),this.state$=new BehaviorSubject(to),this.subscription=ro.subscribe(this.state$)}static fromStates(to,ro){const no=ro(to.map(io=>io.getSnapshot())),oo=combineLatest(to).pipe(map$1(ro));return new u_(no,oo)}destroy(){this.subscription.unsubscribe()}},State$1=class extends BehaviorSubject{constructor(){super(...arguments),this.getState=()=>this.getValue(),this.setState=to=>{this.next(to)},this.updateState=to=>{this.next(to(this.getValue()))},this.getSnapshot=()=>this.getValue()}next(to,ro){!ro&&this.value===to||super.next(to)}copyFrom(to){this.next(to.getSnapshot())}};const X0=class X0{constructor(){this.nodesIndex$=new State$1(List$1()),this.allNodeNames$=Computed$1.fromStates([],()=>List$1()),this.orientation$=new State$1(Orientation$1.Vertical),this.language$=new State$1(void 0)}tweakFlattenNodeOrder(to,ro){const no=this.nodesIndex$.getSnapshot(),oo=no.findIndex(so=>so===to),io=oo+ro;if(oo>=0&&io>=0&&io<no.size){const so=no.get(oo),ao=no.get(io);this.nodesIndex$.setState(no.set(oo,ao).set(io,so))}}};X0.inject=[];let FlowViewModelShared=X0;class ObservableCollection extends State$1{constructor(){super(...arguments),this.listeners=new Map}get(to){return this.getValue().get(to)}has(to){return this.getValue().has(to)}observeKey(to){return new Observable$2(ro=>(this.addListener(to,ro),ro.next(this.get(to)),()=>{this.removeListener(to,ro)}))}notify(to){var ro;(ro=this.listeners.get(to))==null||ro.forEach(no=>{no.next(this.get(to))})}next(to){const ro=this.getSnapshot();super.next(to);const no=new Set;ro.forEach((oo,io)=>{to.has(io)||no.add(io)}),to.forEach((oo,io)=>{ro.has(io)&&Object.is(ro.get(io),oo)||no.add(io)}),no.forEach(oo=>{this.notify(oo)})}addListener(to,ro){let no=this.listeners.get(to);no||(no=new Set,this.listeners.set(to,no)),no.add(ro)}removeListener(to,ro){const no=this.listeners.get(to);no&&(no.delete(ro),no.size===0&&this.listeners.delete(to))}}class ObservableMap extends ObservableCollection{constructor(){super(Map$1())}set(to,ro){return this.updateState(no=>no.set(to,ro)),this}update(to,ro){return this.updateState(no=>no.update(to,ro)),this}delete(to){return this.updateState(ro=>ro.delete(to)),this}deleteAll(to){return this.updateState(ro=>ro.deleteAll(to)),this}clear(){return this.next(Map$1()),this}merge(to){return this.updateState(ro=>ro.merge(to)),this}}class ObservableOrderedMap extends ObservableCollection{constructor(){super(OrderedMap())}set(to,ro){return this.updateState(no=>no.set(to,ro)),this}update(to,ro){return this.updateState(no=>no.update(to,ro)),this}delete(to){return this.updateState(ro=>ro.delete(to)),this}deleteAll(to){return this.updateState(ro=>ro.deleteAll(to)),this}clear(){return this.next(OrderedMap()),this}merge(to){return this.updateState(ro=>ro.merge(to)),this}insertBefore(to,ro,no){return this.updateState(oo=>OrderedMap().withMutations(io=>{for(const[so,ao]of oo.entries())to===so&&io.set(ro,no),io.set(so,ao)})),this.notify(ro),this}insertAfter(to,ro,no){return this.updateState(oo=>OrderedMap().withMutations(io=>{for(const[so,ao]of oo.entries())io.set(so,ao),to===so&&io.set(ro,no)})),this.notify(ro),this}sortByValue(to){return this.updateState(ro=>ro.sort(to)),this}}var _a$6;const Z0=class Z0 extends FlowViewModelShared{constructor(){super(),this.isWorkspaceReady$=new State$1(!1),this.currentNodeId$=new State$1(void 0),this.graphConfig=GraphConfigBuilder.default().build(),this.graphReducer=graphReducer(),this.isReadonly$=new State$1(!1),this.name$=new State$1(""),this.flowType$=new State$1(FlowType.Default),this.owner$=new State$1(void 0),this.isArchived$=new State$1(!1),this.selectedStepId$=new State$1(void 0),this.tools$=new ObservableOrderedMap,this.toolsStatus$=new ObservableOrderedMap,this.batchInputs$=new State$1([]),this.bulkRunDataReference$=new State$1(void 0),this.chatMessages$=new State$1([]),this.nodeVariants$=new ObservableOrderedMap,this.tuningNodeNames$=new State$1([]),this.inputSpec$=new ObservableOrderedMap,this.selectedBulkIndex$=new State$1(void 0),this.nodeRuns$=new ObservableOrderedMap,this.flowRuns$=new State$1([]),this.rootFlowRunMap$=new ObservableMap,this.flowOutputs$=new ObservableOrderedMap,this.connections$=new ObservableOrderedMap,this.promptToolSetting$=new State$1(void 0),this.userInfo$=new State$1(void 0),this.bulkRunDescription$=new State$1(""),this.bulkRunTags$=new State$1([]),this.nodeParameterTypes$=new ObservableMap,this.theme$=new State$1(void 0),this.selectedRuntimeName$=new State$1(void 0),this.connectionList$=new State$1([]),this.connectionSpecList$=new State$1([]),this.connectionDeployments$=new ObservableOrderedMap,this.connectionDeploymentsLoading$=new ObservableOrderedMap,this.runStatus$=new State$1(void 0),this.flowRunType$=new State$1(void 0),this.packageToolsDictionary$=new ObservableMap,this.codeToolsDictionary$=new ObservableMap,this.isToolsJsonReady$=new State$1(!1),this.flowGraphLayout$=new State$1(void 0),this.flowUIHint$=new State$1(void 0),this.isInitialized$=new State$1(!1),this.flowFeatures$=new State$1(new Set),this.loaded=!1,this._allLlmParameterKeys=[],new Set(dataReadonlyMode).add(GraphFeatures.AutoFit);const ro=new Set;ro.add(FlowFeatures.OpenCodeFileInNode),this.flowFeatures$.next(ro),this.canvasState$=new State$1(createGraphState({settings:{graphConfig:this.graphConfig,canvasBoundaryPadding:{top:800,bottom:800}},data:GraphModel.empty()})),this.allNodeNames$=Computed$1.fromStates([this.nodeVariants$],([no])=>List$1(Array.from(no.keys()).filter(oo=>!!oo&&oo!==FLOW_INPUT_NODE_NAME&&oo!==FLOW_OUTPUT_NODE_NAME))),merge$2(this.flowOutputs$,this.batchInputs$,this.inputSpec$,this.selectedRuntimeName$,this.bulkRunTags$,this.nodeVariants$,this.codeToolsDictionary$,this.packageToolsDictionary$).pipe(filter(()=>this.loaded),filter(()=>this.isInitialized$.getSnapshot()),debounceTime(100)).subscribe(()=>{this.notifyFlowChange()}),merge$2(this.flowGraphLayout$,this.orientation$).pipe(debounceTime(100)).subscribe(()=>{this.notifyLayoutChange()}),merge$2(this.flowUIHint$).pipe(debounceTime(100)).subscribe(()=>{this.notifyUIHintChange()}),this.invalidStepInputs$=Computed$1.fromStates([this.nodeVariants$,this.codeToolsDictionary$,this.packageToolsDictionary$,this.connectionList$,this.inputSpec$,this.nodeParameterTypes$],([no,oo,io,so,ao,lo])=>this.validateNodeInputs(no))}attemptToRenameStep(to,ro){if(!checkNodeNameValid(ro))return`step name ${ro} is not valid`;if(this.nodeVariants$.get(ro))return`step with name ${ro} already exists`;if(!this.nodeVariants$.get(to))return`step ${to} not found`;const oo=(so,ao,lo)=>{const uo={...so};return Object.keys(uo).forEach(co=>{const fo=uo[co],ho=getRefValueFromRaw(fo),[po]=(ho==null?void 0:ho.split("."))??[];po===ao&&(uo[co]=fo.replace(`${ao}`,`${lo}`))}),uo},io=(so,ao,lo)=>{if(!so)return;const uo={};return Object.entries(so).forEach(([co,fo])=>{var ho,po,go;uo[co]={...fo,node:{...fo.node,name:((ho=fo.node)==null?void 0:ho.name)===ao?lo:(po=fo.node)==null?void 0:po.name,inputs:oo(((go=fo.node)==null?void 0:go.inputs)??{},ao,lo)}}}),uo};reactDomExports.unstable_batchedUpdates(()=>{this.nodeVariants$.updateState(so=>so.mapEntries(([ao,lo])=>{const uo={...lo,variants:io(lo.variants,to,ro)};return[ao===to?ro:ao,uo]})),this.flowGraphLayout$.updateState(so=>({...so,nodeLayouts:renameKeyInObject((so==null?void 0:so.nodeLayouts)??{},to,ro)})),this.flowUIHint$.updateState(so=>({...so,nodes:renameKeyInObject((so==null?void 0:so.nodes)??{},to,ro)})),this.currentNodeId$.getSnapshot()===to&&this.currentNodeId$.next(ro),this.selectedStepId$.getSnapshot()===to&&this.selectedStepId$.next(ro),this.nodeRuns$.getSnapshot().forEach((so,ao)=>{if(so.node===to){const[,lo,uo,co]=ao.split("#"),fo=parseInt(lo,10);this.nodeRuns$.set(this.getNodeRunKey(ro,isNaN(fo)?0:fo,uo,co),{...so,node:ro}),this.nodeRuns$.delete(ao)}})})}acceptFlowEdit(to,ro){to!==this.viewType&&this.loadFlow(ro)}loadFlow(to){this.loaded=!1;try{reactDomExports.unstable_batchedUpdates(()=>{this.baseEntity=to,this.owner$.next(to.owner),this.isArchived$.next(to.isArchived??!1),this.loadFlowDto(to),to.flowRunResult&&this.loadStatus(to.flowRunResult)}),this.loaded=!0}catch(ro){throw this.loaded=!0,ro}}loadCodeTool(to,ro){this.codeToolsDictionary$.set(to,ro)}loadPackageTool(to,ro){this.packageToolsDictionary$.set(to,ro)}toBatchRequestData(){return{flow:{flowGraph:this.toFlowGraph(),nodeVariants:this.toNodeVariants(),flowGraphLayout:this.flowGraphLayout$.getSnapshot()},flowSubmitRunSettings:{...this.toFlowRunSettings()},flowRunDisplayName:this.name$.getSnapshot()}}toAddOnEvaluationRequestData(){return{flowSubmitRunSettings:{...this.toFlowRunSettings()}}}loadStatus(to){var io;this.clearStatus();let ro=0;const no=[],oo=new Map;if((io=to.flow_runs)!=null&&io.length){for(const so of to.flow_runs)so.index===null?oo.set(so.run_id,so):(ro=so.index,no.push(so));no.sort((so,ao)=>{var lo;return so.root_run_id===ao.root_run_id?(so.index??0)-(ao.index??0):so.variant_id&&ao.variant_id?so.variant_id.localeCompare(ao.variant_id):((lo=so.root_run_id)==null?void 0:lo.localeCompare((ao==null?void 0:ao.root_run_id)??""))??0}),this.flowRuns$.next(no),this.rootFlowRunMap$.next(Map$1(oo))}to.flowRunType&&this.flowRunType$.next(to.flowRunType),to.runStatus&&this.runStatus$.next(to.runStatus),this.loadNodesStatus(to.node_runs||[]),this.selectedBulkIndex$.next(ro)}loadNodesStatus(to){const ro=this.tuningNodeNames$.getSnapshot()[0];to.forEach(no=>{const oo=no.node===ro,io=this.getDefaultVariantId(no.node),so=no.variant_id||io,ao=oo?so:io,lo=this.getNodeRunKey(no.node,no.index??0,ao,so);this.nodeRuns$.set(lo,no)})}loadSingleNodeRunStatus(to,ro,no){this.resetNodesStatus(to,ro),no.forEach(oo=>{const io=this.getDefaultVariantId(oo.node),so=oo.variant_id||io,ao=oo.variant_id||io,lo=this.getNodeRunKey(oo.node,oo.index??0,ao,so);this.nodeRuns$.set(lo,oo)})}resetNodesStatus(to,ro){this.nodeRuns$.updateState(no=>no.filter(oo=>{if(oo.node!==to)return!0;const io=this.getDefaultVariantId(oo.node);return(oo.variant_id||io)!==ro}))}clearStatus(){this.selectedBulkIndex$.next(void 0),this.nodeRuns$.clear(),this.flowRuns$.next([]),this.rootFlowRunMap$.clear()}getDefaultVariantId(to){var ro;return((ro=this.nodeVariants$.get(to))==null?void 0:ro.defaultVariantId)||BASELINE_VARIANT_ID}setStepInput(to,ro,no,oo){const io=this.getNode(to,oo);if(!(io!=null&&io.name))return;const so={...io,inputs:{...io.inputs,[ro]:no}};this.setNode(to,oo,so)}removeStepInputs(to,ro,no){const oo=this.getNode(to,no);if(!(oo!=null&&oo.name))return;const io={...oo.inputs};ro.forEach(ao=>{delete io[ao]});const so={...oo,inputs:io};this.setNode(to,no,so)}renameStepInput(to,ro,no){const oo=this.getNode(to,BASELINE_VARIANT_ID);if(!(oo!=null&&oo.name))return;const io={...oo,inputs:renameKeyInObject(oo.inputs??{},ro,no)};this.setNode(to,BASELINE_VARIANT_ID,io)}setStepActivate(to,ro,no){const oo=this.getNode(to,ro);if(!(oo!=null&&oo.name))return;const io={...oo,activate:no};this.setNode(to,ro,io)}setStepKeyValue(to,ro,no,oo){const io=this.getNode(to,oo);if(!(io!=null&&io.name))return;const so={...io,[ro]:no};this.setNode(to,oo,so)}setStepSourcePath(to,ro,no){const oo=this.getNode(to,no);if(!(oo!=null&&oo.name))return;const io={...oo,source:{...oo.source,path:ro}};this.setNode(to,no,io)}setBatchInput(to,ro,no){const oo=this.batchInputs$.getSnapshot();if(!oo[to])return;const io=[...oo];io[to]={...io[to],[ro]:no},this.batchInputs$.setState(io)}setBulkRunTag(to,ro,no){const oo=[...this.bulkRunTags$.getSnapshot()];if(!oo[to])return;const io={};io[ro]=no,oo[to]=io,this.bulkRunTags$.next(oo)}deleteBulkRunTag(to){const ro=[...this.bulkRunTags$.getSnapshot()];ro.splice(to,1),this.bulkRunTags$.next(ro)}addBulkRunTagRow(){const to=this.bulkRunTags$.getSnapshot(),ro={"":""};this.bulkRunTags$.next([...to,ro])}getNodeRunKey(to,ro,no=BASELINE_VARIANT_ID,oo=BASELINE_VARIANT_ID){return`${to}#${ro}#${no}#${oo}`}dispatch(to){var io;let ro="";switch(to.type){case GraphCanvasEvent.Click:this.currentNodeId$.next(void 0);break;case GraphNodeEvent.Click:this.currentNodeId$.next(to.node.id,!0);break;case GraphNodeEvent.DragEnd:{ro=to.node.name??"";break}}const no=this.canvasState$.getSnapshot(),oo=this.graphReducer(no,to);if(this.canvasState$.next(oo),ro){const so=oo.data.present.nodes.find(uo=>uo.name===ro),ao=this.flowGraphLayout$.getSnapshot(),lo={...ao,nodeLayouts:{...ao==null?void 0:ao.nodeLayouts,[ro]:{...(io=ao==null?void 0:ao.nodeLayouts)==null?void 0:io[ro],x:so==null?void 0:so.x,y:so==null?void 0:so.y}}};this.flowGraphLayout$.next(lo)}}setGraphConfig(to){this.graphConfig=to;const ro=this.canvasState$.getSnapshot();this.canvasState$.next({...ro,settings:{...ro.settings,graphConfig:to}})}toFlowGraph(){const to=this.nodeVariants$.getSnapshot(),ro=getDefaultNodeList(List$1.of(...to.keys()),to);return{inputs:this.inputSpec$.getSnapshot().toJSON(),outputs:this.flowOutputs$.getSnapshot().toJSON(),nodes:ro,tools:void 0}}toFlowGraphSnapshot(to){const ro=lodashExports.mapValues(this.inputSpec$.getSnapshot().toJSON(),lo=>{lo.default!==void 0&&(lo.default=convertValByType(lo.default,lo.type));const{name:uo,id:co,...fo}=lo;return fo}),no=lodashExports.mapValues(this.flowOutputs$.getSnapshot().toJSON(),lo=>{const{name:uo,id:co,...fo}=lo;return fo}),io=getNodesThatMoreThanOneVariant(to).map(lo=>lo.nodeName),so=getFlowSnapshotNodeList(List$1.of(...Object.keys(to)),to,io),ao=getVariantNodes(to);return{inputs:ro,outputs:no,nodes:so,node_variants:ao}}toNodeVariants(){const to=this.nodeVariants$.getSnapshot().toJSON(),ro={};return Object.keys(to).forEach(no=>{const oo=to[no],io={};Object.keys(oo.variants??{}).forEach(so=>{const ao=(oo.variants??{})[so];io[so]={...ao,node:ao.node?this.pruneNodeInputs(ao.node):void 0}}),ro[no]={...oo,variants:io}}),ro}toFlowRunSettings(){var to,ro;return{tuningNodeNames:this.tuningNodeNames$.getSnapshot(),variants:void 0,runtimeName:(to=this.selectedRuntimeName$)==null?void 0:to.getSnapshot(),description:this.bulkRunDescription$.getSnapshot(),tags:Object.assign({},...this.bulkRunTags$.getSnapshot()),...this.bulkRunDataReference$.getSnapshot()!==void 0?{batchDataInput:{dataUri:(ro=this.bulkRunDataReference$.getSnapshot())==null?void 0:ro.id}}:{batch_inputs:this.batchInputs$.getSnapshot()}}}toJSON(){const to=this.toNodeVariants();return{...this.baseEntity,flow:{flowGraph:this.toFlowGraphSnapshot(to)},flowName:this.name$.getSnapshot(),flowRunSettings:this.toFlowRunSettings()}}toFlowGraphLayout(){const to=this.flowGraphLayout$.getSnapshot()??{},ro=Array.from(this.nodeVariants$.getSnapshot().keys()),no={...to.nodeLayouts};return Object.keys(no).forEach(oo=>{no[oo]={...no[oo],index:ro.indexOf(oo)}}),{...to,nodeLayouts:no,orientation:this.orientation$.getSnapshot()}}toFlowUIHint(){return this.flowUIHint$.getSnapshot()??{nodes:{}}}updateToolCode(to,ro){const no=this.codeToolsDictionary$.get(to);no&&this.codeToolsDictionary$.set(to,{...no,code:ro})}updateToolStatus(to,ro){const no=this.toolsStatus$.get(to);this.toolsStatus$.set(to,{...no,...ro})}updateFlowInput(to,ro){const no=this.batchInputs$.getSnapshot(),oo=no==null?void 0:no[0];let io=ro;try{const so=JSON.parse(ro);io=JSON.stringify(so)}catch{io=ro}this.batchInputs$.next([{...oo,[to]:io},...no.slice(1)])}addNewNode(to,ro){if(!to.name)return;const no=to,oo={defaultVariantId:BASELINE_VARIANT_ID,variants:{[BASELINE_VARIANT_ID]:{node:no}}};ro?this.nodeVariants$.insertBefore(ro,to.name,oo):this.nodeVariants$.set(to.name,oo)}patchEditData(to){var ro,no,oo,io;switch(to.type){case"chatInput":{if(this.flowType$.getSnapshot()!==FlowType.Chat)return;const so=this.batchInputs$.getSnapshot(),ao=((ro=this.getChatInputDefinition())==null?void 0:ro.name)??DEFAULT_CHAT_INPUT_NAME;this.batchInputs$.next([{...so[0],[ao]:to.value}]);break}case"chatHistory":{if(this.flowType$.getSnapshot()!==FlowType.Chat)return;const so=this.batchInputs$.getSnapshot(),ao=((no=this.getChatHistoryDefinition())==null?void 0:no.name)??DEFAULT_CHAT_HISTORY_NAME,lo=((oo=this.getChatInputDefinition())==null?void 0:oo.name)??DEFAULT_CHAT_INPUT_NAME,uo=((io=this.getChatOutputDefinition())==null?void 0:io.name)??DEFAULT_CHAT_OUTPUT_NAME;this.batchInputs$.next([{...so[0],[ao]:[...so[0][ao],{inputs:{[lo]:to.value.chatInput},outputs:{[uo]:to.value.chatOutput}}].slice(-10)}]);break}case"flowGraph":{try{this.loaded=!1,reactDomExports.unstable_batchedUpdates(()=>{this.loadFlorGraph(to.value)})}finally{this.loaded=!0}break}default:{const so=to;throw new Error(`Didn't expect to get here: ${so}`)}}}getChatInputDefinition(){return this.inputSpec$.getSnapshot().find(isChatInput)}getChatHistoryDefinition(){const to=this.flowType$.getSnapshot();return this.inputSpec$.getSnapshot().find(ro=>isChatHistory(to,ro))}getChatOutputDefinition(){return this.flowOutputs$.getSnapshot().find(isChatOutput)}clearChatMessages(){this.chatMessages$.next([]),this.syncChatMessagesToInputsValues([])}getProviderByConnection(to){var so;if(!to)return;const ro=this.connectionList$.getSnapshot(),no=this.promptToolSetting$.getSnapshot(),oo=ro.find(ao=>ao.connectionName===to);if(!oo)return;const io=(so=no==null?void 0:no.providers)==null?void 0:so.find(ao=>{var lo;return oo.connectionType&&((lo=ao.connection_type)==null?void 0:lo.includes(oo.connectionType))});if(io)return io.provider}addFlowInput(to,ro){this.inputSpec$.set(to,{...ro,name:to,id:(ro==null?void 0:ro.id)??getRandomInputDefinitionId()})}addFlowOutput(to,ro){this.flowOutputs$.set(to,{...ro,name:to,id:(ro==null?void 0:ro.id)??getRandomOutputDefinitionId()})}loadFlorGraph(to){var io;const ro=(to==null?void 0:to.nodes)||[],no=(to==null?void 0:to.outputs)||{},oo=(to==null?void 0:to.inputs)||{};this.nodeVariants$.clear(),ro.forEach(so=>{so.name&&(this.nodeVariants$.get(so.name)||this.nodeVariants$.set(so.name,{defaultVariantId:BASELINE_VARIANT_ID,variants:{[BASELINE_VARIANT_ID]:{node:so}}}))}),(io=Object.entries((to==null?void 0:to.node_variants)??{}))==null||io.forEach(([so,ao])=>{const lo={...ao.variants};Object.entries(lo).forEach(([uo,co])=>{co.node&&(co.node.name=so)}),this.nodeVariants$.set(so,{defaultVariantId:ao.default_variant_id??BASELINE_VARIANT_ID,variants:lo})}),this.flowOutputs$.clear(),Object.keys(no).forEach(so=>{const ao=no[so];ao&&this.addFlowOutput(so,ao)}),this.inputSpec$.clear(),Object.keys(oo).forEach(so=>{const ao=oo[so];ao&&this.addFlowInput(so,ao)})}loadFlowDto(to){var ro,no,oo,io,so,ao,lo,uo,co,fo,ho,po,go,vo;if(this.name$.next(to.flowName??""),this.flowType$.next(to.flowType??FlowType.Default),this.loadFlorGraph((ro=to.flow)==null?void 0:ro.flowGraph),(no=to.flow)!=null&&no.nodeVariants&&((io=Object.entries(((oo=to.flow)==null?void 0:oo.nodeVariants)??{}))==null||io.forEach(([bo,xo])=>{this.nodeVariants$.set(bo,{...xo,defaultVariantId:xo.defaultVariantId??BASELINE_VARIANT_ID})})),(ao=(so=to.flow)==null?void 0:so.flowGraphLayout)!=null&&ao.nodeLayouts){const bo=(lo=to.flow)==null?void 0:lo.flowGraphLayout;this.flowGraphLayout$.next(bo),bo.orientation&&this.orientation$.next(bo.orientation)}if(this.selectedRuntimeName$.setState(((uo=to.flowRunSettings)==null?void 0:uo.runtimeName)??""),this.batchInputs$.setState(((co=to.flowRunSettings)==null?void 0:co.batch_inputs)??[{}]),this.tuningNodeNames$.setState(((fo=to.flowRunSettings)==null?void 0:fo.tuningNodeNames)??[]),this.bulkRunDescription$.next(to.description??""),this.bulkRunTags$.next([]),to.tags){const bo=[];Object.keys(to.tags).forEach(xo=>{var _o;bo.push({[xo]:((_o=to==null?void 0:to.tags)==null?void 0:_o[xo])??""})}),this.bulkRunTags$.next(bo)}this.initNodeParameterTypes((ho=to.flow)==null?void 0:ho.flowGraph),to.flowType===FlowType.Chat&&(this.initChatFlow(to),this.initChatMessages(((po=to.flowRunSettings)==null?void 0:po.batch_inputs)??[{}])),this.language$.next((vo=(go=to.flow)==null?void 0:go.flowGraph)==null?void 0:vo.language)}initNodeParameterTypes(to){if(!to)return;const ro=this.nodeVariants$.getSnapshot().toJSON();let no=Map$1(new Map);Object.keys(ro).forEach(oo=>{const io=ro[oo];Object.keys(io.variants??{}).forEach(so=>{var lo;const ao=(io.variants??{})[so];if(ao.node){const uo={inputs:{},activate:{is:void 0}},co=this.getToolOfNode(ao.node);if((ao.node.type??(co==null?void 0:co.type))===ToolType.python){const fo=Object.keys((co==null?void 0:co.inputs)??{});Object.keys(ao.node.inputs??{}).filter(go=>!fo.includes(go)).forEach(go=>{var vo,bo;uo.inputs[go]=inferTypeByVal((bo=(vo=ao.node)==null?void 0:vo.inputs)==null?void 0:bo[go])??ValueType.string})}uo.activate.is=inferTypeByVal((lo=ao.node.activate)==null?void 0:lo.is)??ValueType.string,no=no.set(`${oo}#${so}`,uo)}})}),this.nodeParameterTypes$.next(no)}initChatFlow(to){if(to.flowType!==FlowType.Chat)return;this.inputSpec$.getSnapshot().some(io=>isChatHistory(to.flowType,io))||(this.addFlowInput(DEFAULT_CHAT_HISTORY_NAME,{name:DEFAULT_CHAT_HISTORY_NAME,type:ValueType.list}),this.batchInputs$.updateState(io=>[{...io[0],[DEFAULT_CHAT_HISTORY_NAME]:[]},...io.slice(1)])),this.inputSpec$.getSnapshot().some(io=>isChatInput(io))||this.addFlowInput(DEFAULT_CHAT_INPUT_NAME,{name:DEFAULT_CHAT_INPUT_NAME,type:ValueType.string,is_chat_input:!0}),this.flowOutputs$.getSnapshot().some(io=>isChatOutput(io))||this.addFlowOutput(DEFAULT_CHAT_OUTPUT_NAME,{name:DEFAULT_CHAT_OUTPUT_NAME,type:ValueType.string,is_chat_output:!0})}initChatMessages(to){var ao,lo,uo;const ro=((ao=this.getChatHistoryDefinition())==null?void 0:ao.name)??DEFAULT_CHAT_HISTORY_NAME,no=to[0][ro];if(!Array.isArray(no))return;const oo=((lo=this.getChatInputDefinition())==null?void 0:lo.name)??DEFAULT_CHAT_INPUT_NAME,io=((uo=this.getChatOutputDefinition())==null?void 0:uo.name)??DEFAULT_CHAT_OUTPUT_NAME,so=parseChatMessages(oo,io,no);this.chatMessages$.next(so),this.syncChatMessagesToInputsValues(so)}syncChatMessagesToInputsValues(to){var no,oo,io;if(this.batchInputs$.getSnapshot().length<=1){const so=((no=this.getChatInputDefinition())==null?void 0:no.name)??DEFAULT_CHAT_INPUT_NAME,ao=((oo=this.getChatOutputDefinition())==null?void 0:oo.name)??DEFAULT_CHAT_OUTPUT_NAME,lo=((io=this.getChatHistoryDefinition())==null?void 0:io.name)??DEFAULT_CHAT_HISTORY_NAME,uo=[];for(let co=0;co<to.length;++co){for(;co<to.length&&to[co].from!==ChatMessageFrom.User;++co);if(co+1<to.length){const fo=to[co],ho=to[co+1];if(ho.from===ChatMessageFrom.Chatbot&&!ho.error){co+=1;const po=ho.extraData;uo.push({inputs:{...po.flowInputs,[so]:fo.content},outputs:{...po.flowOutputs,[ao]:ho.content}})}}}this.batchInputs$.updateState(co=>[{...co[0],[lo]:uo}])}}getNode(to,ro){var no,oo,io;return(io=(oo=(no=this.nodeVariants$.get(to))==null?void 0:no.variants)==null?void 0:oo[ro])==null?void 0:io.node}setNode(to,ro,no){var io;const oo=this.nodeVariants$.get(to);this.nodeVariants$.set(to,{defaultVariantId:(oo==null?void 0:oo.defaultVariantId)??BASELINE_VARIANT_ID,variants:{...oo==null?void 0:oo.variants,[ro]:{...(io=oo==null?void 0:oo.variants)==null?void 0:io[ro],node:no}}})}getAllLlmParameterKeys(){var to;if(this._allLlmParameterKeys.length===0){const ro=this.promptToolSetting$.getSnapshot();if(!ro)return[];const no=(to=ro.providers)==null?void 0:to.flatMap(io=>{var so;return(so=io.apis)==null?void 0:so.map(ao=>ao.parameters)}),oo=new Set(no==null?void 0:no.flatMap(io=>Object.keys(io??{})));this._allLlmParameterKeys=[...oo.values()]}return this._allLlmParameterKeys}pruneNodeInputs(to){var fo,ho,po,go;const ro=to?this.getToolOfNode(to):void 0,no=this.promptToolSetting$.getSnapshot(),oo=this.connectionList$.getSnapshot(),io=this.connectionSpecList$.getSnapshot();if(!ro||!no)return to;if((to.type??ro.type)===ToolType.python&&ro.enable_kwargs){const vo={};return Object.keys(to.inputs??{}).forEach(bo=>{var xo,_o,Eo,So;if(((xo=to.inputs)==null?void 0:xo[bo])!==void 0){const To=(_o=ro.inputs)==null?void 0:_o[bo];vo[bo]=convertValByType((Eo=to.inputs)==null?void 0:Eo[bo],(So=To==null?void 0:To.type)==null?void 0:So[0])}}),{...to,inputs:vo}}const so=this.getProviderByConnection(to.connection??"");if((to.type??ro.type)===ToolType.llm&&(!so||!to.api))return to;const ao=(to.type??ro.type)===ToolType.llm,lo=ao?(go=(po=(ho=(fo=no==null?void 0:no.providers)==null?void 0:fo.find(vo=>vo.provider===so))==null?void 0:ho.apis)==null?void 0:po.find(vo=>vo.api===to.api))==null?void 0:go.parameters:void 0,uo=new Set(filterNodeInputsKeys(ro.inputs,to.inputs,oo,io).concat(ao?this.getAllLlmParameterKeys():[])),co={};return Object.keys(to.inputs??{}).forEach(vo=>{var bo,xo,_o,Eo;if(uo.has(vo)&&((bo=to.inputs)==null?void 0:bo[vo])!==void 0){const So=((xo=ro.inputs)==null?void 0:xo[vo])??(lo==null?void 0:lo[vo]);co[vo]=convertValByType((_o=to.inputs)==null?void 0:_o[vo],(Eo=So==null?void 0:So.type)==null?void 0:Eo[0])}}),{...to,inputs:co}}getToolOfNode(to){var oo,io;const ro=this.codeToolsDictionary$.get(((oo=to.source)==null?void 0:oo.path)??""),no=this.packageToolsDictionary$.get(((io=to.source)==null?void 0:io.tool)??"");return resolveTool(to,ro,no,so=>this.codeToolsDictionary$.get(so))}validateNodeInputs(to){const ro=new Map,no=this.getNodesInCycle(to),oo=this.connectionList$.getSnapshot(),io=this.connectionSpecList$.getSnapshot(),so=[];return this.inputSpec$.getSnapshot().forEach((lo,uo)=>{const co=lo.default,fo=lo.type;if(co!==void 0&&co!==""&&!isTypeValid(co,fo)){const ho={section:"inputs",parameterName:uo,type:ValidationErrorType.InputInvalidType,message:"Input type is not valid"};so.push(ho)}}),so.length>0&&ro.set(`${FLOW_INPUT_NODE_NAME}#`,so),Array.from(to.values()).forEach(lo=>{const{variants:uo={}}=lo;Object.keys(uo).forEach(co=>{var xo,_o,Eo;const fo=uo[co],{node:ho}=fo,po=ho?this.getToolOfNode(ho):void 0,go=filterNodeInputsKeys(po==null?void 0:po.inputs,ho==null?void 0:ho.inputs,oo,io);if(!ho||!ho.name)return;if(!po){const So=ho;ro.set(`${ho.name}#${co}`,[{type:ValidationErrorType.MissingTool,message:`Can't find tool ${((xo=So==null?void 0:So.source)==null?void 0:xo.tool)??((_o=So==null?void 0:So.source)==null?void 0:_o.path)}`}]);return}const vo=[],bo=this.validateNodeConfig(ho,po);if(bo&&vo.push(bo),go.forEach(So=>{const To=this.validateNodeInputRequired(po,ho,So);To&&vo.push(To)}),ho.inputs&&vo.push(...Object.keys(ho.inputs).map(So=>{if(!go.includes(So)&&!po.enable_kwargs)return;const{isReference:To,error:wo}=this.validateNodeInputReference(ho,"inputs",So,to,no);if(wo)return wo;if(!To)return this.validateNodeInputType(po,ho,co,So)}).filter(Boolean)),ho.activate){const{error:So}=this.validateNodeInputReference(ho,"activate","when",to,no);So&&vo.push(So);const To=ho.activate.is,wo=(Eo=this.nodeParameterTypes$.get(`${ho.name}#${co}`))==null?void 0:Eo.activate.is;if(!isTypeValid(To,wo)){const Co={section:"activate",parameterName:"is",type:ValidationErrorType.InputInvalidType,message:"Input type is not valid"};vo.push(Co)}}ro.set(`${ho.name}#${co}`,vo)})}),ro}getNodesInCycle(to){const ro=getDefaultNodeList(List$1.of(...to.keys()),to),no=new Map;ro.forEach(uo=>{var fo;const co=(ho,po,go)=>{const vo=getRefValueFromRaw(go),[bo]=(vo==null?void 0:vo.split("."))??[];!bo||isFlowInput(bo)||no.set(`${uo.name}.${ho}.${po}`,bo)};Object.keys((uo==null?void 0:uo.inputs)??{}).forEach(ho=>{var go;const po=(go=uo.inputs)==null?void 0:go[ho];co("inputs",ho,po)}),co("activate","when",(fo=uo.activate)==null?void 0:fo.when)});const oo=new Map,io=new Map,so=new Map,ao=new Map;return ro.forEach(uo=>{const co=uo.name;co&&(oo.set(co,0),io.set(co,0),so.set(co,[]),ao.set(co,[]))}),ro.forEach(uo=>{const co=uo.name;if(!co)return;const fo=(ho,po)=>{const go=no.get(`${co}.${ho}.${po}`);go&&(oo.set(co,(oo.get(co)??0)+1),io.set(go,(io.get(go)??0)+1),so.set(go,[...so.get(go)??[],co]),ao.set(co,[...ao.get(co)??[],go]))};Object.keys((uo==null?void 0:uo.inputs)??{}).forEach(ho=>{fo("inputs",ho)}),fo("activate","when")}),getCycle(oo,so,io,ao)}validateNodeConfig(to,ro){var oo,io,so,ao,lo,uo,co;const no=this.promptToolSetting$.getSnapshot();if((to.type??(ro==null?void 0:ro.type))===ToolType.llm){if(!to.connection)return{parameterName:"connection",type:ValidationErrorType.NodeConfigInvalid,message:"connection is required"};if(!this.connectionList$.getSnapshot().some(vo=>vo.connectionName===to.connection))return{parameterName:"connection",type:ValidationErrorType.NodeConfigInvalid,message:"connection is not valid"};if(!to.api)return{parameterName:"api",type:ValidationErrorType.NodeConfigInvalid,message:"api is required"};const fo=this.getProviderByConnection(to.connection),ho=(ao=(so=(io=(oo=no==null?void 0:no.providers)==null?void 0:oo.find(vo=>vo.provider===fo))==null?void 0:io.apis)==null?void 0:so.find(vo=>vo.api===to.api))==null?void 0:ao.parameters;if((ho==null?void 0:ho.model)&&!((lo=to.inputs)!=null&&lo.model))return{parameterName:"model",type:ValidationErrorType.NodeConfigInvalid,message:"model is required"};if((ho==null?void 0:ho.deployment_name)&&!((uo=to.inputs)!=null&&uo.deployment_name))return{parameterName:"deployment_name",type:ValidationErrorType.NodeConfigInvalid,message:"deployment_name is required"}}if(ro&&((co=ro==null?void 0:ro.connection_type)!=null&&co.length)&&!to.connection)return{parameterName:"connection",type:ValidationErrorType.NodeConfigInvalid,message:"connection is required"}}validateNodeInputRequired(to,ro,no){var io,so,ao;if(((so=(io=to.inputs)==null?void 0:io[no])==null?void 0:so.default)!==void 0)return;const oo=(ao=ro.inputs)==null?void 0:ao[no];if(oo===void 0||oo==="")return{section:"inputs",parameterName:no,type:ValidationErrorType.InputEmpty,message:"Input cannot be empty"}}validateNodeInputReference(to,ro,no,oo,io){var fo;const so=(fo=to==null?void 0:to[ro])==null?void 0:fo[no],ao=getRefValueFromRaw(so),[lo,uo]=(ao==null?void 0:ao.split("."))??[];return lo?isFlowInput(lo)?this.inputSpec$.get(uo)?{isReference:!0,error:void 0}:{isReference:!0,error:{section:ro,parameterName:no,type:ValidationErrorType.InputDependencyNotFound,message:`${ao} is not a valid flow input`}}:lo===to.name?{isReference:!0,error:{section:ro,parameterName:no,type:ValidationErrorType.InputSelfReference,message:"Input cannot reference itself"}}:oo.get(lo)?to.name&&io.has(to.name)&&io.has(lo)?{isReference:!0,error:{section:ro,parameterName:no,type:ValidationErrorType.CircularDependency,message:"Input cannot reference a node in a cycle"}}:{isReference:!0,error:void 0}:{isReference:!0,error:{section:ro,parameterName:no,type:ValidationErrorType.InputDependencyNotFound,message:`${lo} is not a valid node name`}}:{isReference:!1,error:void 0}}validateNodeInputType(to,ro,no,oo){var lo,uo,co,fo,ho;const io=(lo=ro.inputs)==null?void 0:lo[oo];if(!io)return;const so=(uo=to==null?void 0:to.inputs)==null?void 0:uo[oo],ao=((co=so==null?void 0:so.type)==null?void 0:co[0])??((ho=(fo=this.nodeParameterTypes$.get(`${ro.name}#${no}`))==null?void 0:fo.inputs)==null?void 0:ho[oo]);if(!(!io||!to||!ao)&&!isTypeValid(io,ao))return{section:"inputs",parameterName:oo,type:ValidationErrorType.InputInvalidType,message:"Input type is not valid"}}};_a$6=SINGLETON,Z0[_a$6]=!0;let BaseFlowViewModel=Z0;class DefaultFlowViewModel extends BaseFlowViewModel{constructor(){super(...arguments),this.viewType="default"}fetchConnectionList(){}fetchPromptToolSetting(){}openRunListView(){}deployFlow(){}setSelectedStepId(){}notifyFlowChange(){}notifyLayoutChange(){}notifyUIHintChange(){}}createInjectionToken("FlowViewModel",new DefaultFlowViewModel);function useInjected(...eo){const to=reactExports.useContext(ServicesContext);return reactExports.useMemo(()=>eo.map(ro=>{try{return to.resolve(ro)}catch(no){throw[ro,no]}}),[to].concat(eo))}var shim$1={exports:{}},useSyncExternalStoreShim_production_min={};/**
+ * @license React
+ * use-sync-external-store-shim.production.min.js
+ *
+ * Copyright (c) Facebook, Inc. and its affiliates.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ */var e$3=reactExports;function h$6(eo,to){return eo===to&&(eo!==0||1/eo===1/to)||eo!==eo&&to!==to}var k$5=typeof Object.is=="function"?Object.is:h$6,l$6=e$3.useState,m$7=e$3.useEffect,n$4=e$3.useLayoutEffect,p$6=e$3.useDebugValue;function q$2(eo,to){var ro=to(),no=l$6({inst:{value:ro,getSnapshot:to}}),oo=no[0].inst,io=no[1];return n$4(function(){oo.value=ro,oo.getSnapshot=to,r$4(oo)&&io({inst:oo})},[eo,ro,to]),m$7(function(){return r$4(oo)&&io({inst:oo}),eo(function(){r$4(oo)&&io({inst:oo})})},[eo]),p$6(ro),ro}function r$4(eo){var to=eo.getSnapshot;eo=eo.value;try{var ro=to();return!k$5(eo,ro)}catch{return!0}}function t$6(eo,to){return to()}var u$6=typeof window>"u"||typeof window.document>"u"||typeof window.document.createElement>"u"?t$6:q$2;useSyncExternalStoreShim_production_min.useSyncExternalStore=e$3.useSyncExternalStore!==void 0?e$3.useSyncExternalStore:u$6;shim$1.exports=useSyncExternalStoreShim_production_min;var shimExports=shim$1.exports;const useSubscribe=eo=>reactExports.useCallback(to=>{const ro=eo.subscribe(to);return()=>{ro.unsubscribe()}},[eo]);function useState(eo){const to=useSubscribe(eo),{getSnapshot:ro}=eo;return shimExports.useSyncExternalStore(to,ro)}function useSetState(eo){return reactExports.useCallback(to=>{typeof to!="function"?eo.setState(to):eo.setState(to(eo.getSnapshot()))},[eo])}of(void 0);var _a$5;const J0=class J0{constructor(to,ro){this.isChatBoxBottomTipVisible$=new State$1(to.isChatBoxBottomTipVisible),this.simpleMode$=new State$1(to.simpleMode),this.freezeLayout$=new State$1(to.freezeLayout),this.viewMyOnlyFlow$=new State$1(to.viewMyOnlyFlow),this.viewOnlyMyRuns$=new State$1(to.viewOnlyMyRuns),this.viewArchived$=new State$1(to.viewArchived),this.wrapTextOn$=new State$1(to.wrapTextOn),this.diffModeOn$=new State$1(to.diffModeOn),this.isRightTopPaneCollapsed$=new State$1(to.isRightTopPaneCollapsed),this.isRightBottomPaneCollapsed$=new State$1(to.isRightBottomPaneCollapsed),this.leftPaneWidth$=new State$1(to.leftPaneWidth),this.rightTopPaneHeight$=new State$1(to.rightTopPaneHeight);const no=(oo,io)=>{io.subscribe(so=>{ro({...this.getSettingsSnapshot(),[oo]:so})})};no("isChatBoxBottomTipVisible",this.isChatBoxBottomTipVisible$),no("simpleMode",this.simpleMode$),no("freezeLayout",this.freezeLayout$),no("viewMyOnlyFlow",this.viewMyOnlyFlow$),no("viewOnlyMyRuns",this.viewOnlyMyRuns$),no("viewArchived",this.viewArchived$),no("wrapTextOn",this.wrapTextOn$),no("diffModeOn",this.diffModeOn$),no("isRightTopPaneCollapsed",this.isRightTopPaneCollapsed$),no("isRightBottomPaneCollapsed",this.isRightBottomPaneCollapsed$),no("leftPaneWidth",this.leftPaneWidth$),no("rightTopPaneHeight",this.rightTopPaneHeight$)}getSettingsSnapshot(){return{isChatBoxBottomTipVisible:this.isChatBoxBottomTipVisible$.getSnapshot(),simpleMode:this.simpleMode$.getSnapshot(),freezeLayout:this.freezeLayout$.getSnapshot(),viewMyOnlyFlow:this.viewMyOnlyFlow$.getSnapshot(),viewOnlyMyRuns:this.viewOnlyMyRuns$.getSnapshot(),viewArchived:this.viewArchived$.getSnapshot(),wrapTextOn:this.wrapTextOn$.getSnapshot(),diffModeOn:this.diffModeOn$.getSnapshot(),isRightTopPaneCollapsed:this.isRightTopPaneCollapsed$.getSnapshot(),isRightBottomPaneCollapsed:this.isRightBottomPaneCollapsed$.getSnapshot(),leftPaneWidth:this.leftPaneWidth$.getSnapshot(),rightTopPaneHeight:this.rightTopPaneHeight$.getSnapshot()}}};_a$5=SINGLETON,J0[_a$5]=!0;let BaseFlowSettingViewModel=J0;class DefaultFlowSettingViewModel extends BaseFlowSettingViewModel{constructor(){super({isChatBoxBottomTipVisible:!0,simpleMode:!0,freezeLayout:!1,viewMyOnlyFlow:!1,viewOnlyMyRuns:!1,viewArchived:!0,wrapTextOn:!1,diffModeOn:!1,isRightTopPaneCollapsed:!0,isRightBottomPaneCollapsed:!1,leftPaneWidth:"66%",rightTopPaneHeight:360},()=>{})}}createInjectionToken("FlowSettingViewModel",new DefaultFlowSettingViewModel);makeStyles({root:{display:"flex",flexWrap:"nowrap"},item:{display:"inline-flex",alignItems:"center",marginRight:"8px",lineHeight:"14px"}});mergeStyleSets({line:{overflow:"hidden",textOverflow:"ellipsis",whiteSpace:"nowrap"}});const isInVscodeWebview=typeof acquireVsCodeApi<"u";isInVscodeWebview&&acquireVsCodeApi();var _a$4;const ev=class ev{constructor(){this.extensionConfigurations$=new State$1(void 0),this.isPackageInstalled$=new State$1(void 0),this.sdkVersion$=new State$1(void 0),this.sdkFeatureList$=new State$1([]),this.uxFeatureList$=new State$1([])}};_a$4=SINGLETON,ev[_a$4]=!0;let VSCodeExtensionViewModel=ev;createInjectionToken("VSCodeFlowViewModel",new VSCodeExtensionViewModel);React.createContext({variantName:BASELINE_VARIANT_ID,haveMultipleVariants:!1,showAllVariantsOutputs:!1,isDisableEditing:!1});function createCommonjsModule(eo,to,ro){return ro={path:to,exports:{},require:function(no,oo){return commonjsRequire(no,oo??ro.path)}},eo(ro,ro.exports),ro.exports}function commonjsRequire(){throw new Error("Dynamic requires are not currently supported by @rollup/plugin-commonjs")}var classnames$1=createCommonjsModule(function(eo){/*!
+  Copyright (c) 2018 Jed Watson.
+  Licensed under the MIT License (MIT), see
+  http://jedwatson.github.io/classnames
+*/(function(){var to={}.hasOwnProperty;function ro(){for(var no=[],oo=0;oo<arguments.length;oo++){var io=arguments[oo];if(io){var so=typeof io;if(so==="string"||so==="number")no.push(io);else if(Array.isArray(io)){if(io.length){var ao=ro.apply(null,io);ao&&no.push(ao)}}else if(so==="object")if(io.toString===Object.prototype.toString)for(var lo in io)to.call(io,lo)&&io[lo]&&no.push(lo);else no.push(io.toString())}}return no.join(" ")}eo.exports?(ro.default=ro,eo.exports=ro):window.classNames=ro})()});function _extends$1$1(){return _extends$1$1=Object.assign?Object.assign.bind():function(eo){for(var to=1;to<arguments.length;to++){var ro=arguments[to];for(var no in ro)Object.prototype.hasOwnProperty.call(ro,no)&&(eo[no]=ro[no])}return eo},_extends$1$1.apply(this,arguments)}/** @license React v16.13.1
+ * react-is.production.min.js
+ *
+ * Copyright (c) Facebook, Inc. and its affiliates.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ */var b$3=typeof Symbol=="function"&&Symbol.for,c$6=b$3?Symbol.for("react.element"):60103,d$5=b$3?Symbol.for("react.portal"):60106,e$2=b$3?Symbol.for("react.fragment"):60107,f$5=b$3?Symbol.for("react.strict_mode"):60108,g$7=b$3?Symbol.for("react.profiler"):60114,h$5=b$3?Symbol.for("react.provider"):60109,k$4=b$3?Symbol.for("react.context"):60110,l$5=b$3?Symbol.for("react.async_mode"):60111,m$6=b$3?Symbol.for("react.concurrent_mode"):60111,n$3=b$3?Symbol.for("react.forward_ref"):60112,p$5=b$3?Symbol.for("react.suspense"):60113,q$1=b$3?Symbol.for("react.suspense_list"):60120,r$3=b$3?Symbol.for("react.memo"):60115,t$5=b$3?Symbol.for("react.lazy"):60116,v$5=b$3?Symbol.for("react.block"):60121,w$4=b$3?Symbol.for("react.fundamental"):60117,x$6=b$3?Symbol.for("react.responder"):60118,y$5=b$3?Symbol.for("react.scope"):60119;function z$2(eo){if(typeof eo=="object"&&eo!==null){var to=eo.$$typeof;switch(to){case c$6:switch(eo=eo.type,eo){case l$5:case m$6:case e$2:case g$7:case f$5:case 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z$2(eo)===p$5},isValidElementType=function(eo){return typeof eo=="string"||typeof eo=="function"||eo===e$2||eo===m$6||eo===g$7||eo===f$5||eo===p$5||eo===q$1||typeof eo=="object"&&eo!==null&&(eo.$$typeof===t$5||eo.$$typeof===r$3||eo.$$typeof===h$5||eo.$$typeof===k$4||eo.$$typeof===n$3||eo.$$typeof===w$4||eo.$$typeof===x$6||eo.$$typeof===y$5||eo.$$typeof===v$5)},typeOf=z$2,reactIs_production_min={AsyncMode,ConcurrentMode,ContextConsumer,ContextProvider,Element:Element$1,ForwardRef,Fragment,Lazy,Memo,Portal,Profiler,StrictMode,Suspense,isAsyncMode,isConcurrentMode,isContextConsumer,isContextProvider,isElement,isForwardRef,isFragment,isLazy,isMemo,isPortal,isProfiler,isStrictMode,isSuspense,isValidElementType,typeOf};createCommonjsModule(function(eo,to){});var reactIs=createCommonjsModule(function(eo){eo.exports=reactIs_production_min});function toArray(eo){var to=arguments.length>1&&arguments[1]!==void 0?arguments[1]:{},ro=[];return React.Children.forEach(eo,function(no){no==null&&!to.keepEmpty||(Array.isArray(no)?ro=ro.concat(toArray(no)):reactIs.isFragment(no)&&no.props?ro=ro.concat(toArray(no.props.children,to)):ro.push(no))}),ro}function _defineProperty$3(eo,to,ro){return to in eo?Object.defineProperty(eo,to,{value:ro,enumerable:!0,configurable:!0,writable:!0}):eo[to]=ro,eo}function ownKeys$2(eo,to){var ro=Object.keys(eo);if(Object.getOwnPropertySymbols){var no=Object.getOwnPropertySymbols(eo);to&&(no=no.filter(function(oo){return Object.getOwnPropertyDescriptor(eo,oo).enumerable})),ro.push.apply(ro,no)}return ro}function _objectSpread2$2(eo){for(var to=1;to<arguments.length;to++){var 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supportRef(eo){var to,ro,no=reactIs.isMemo(eo)?eo.type.type:eo.type;return!(typeof no=="function"&&!(!((to=no.prototype)===null||to===void 0)&&to.render)||typeof eo=="function"&&!(!((ro=eo.prototype)===null||ro===void 0)&&ro.render))}function findDOMNode(eo){return eo instanceof HTMLElement?eo:ReactDOM.findDOMNode(eo)}var MapShim=function(){if(typeof Map<"u")return Map;function eo(to,ro){var no=-1;return to.some(function(oo,io){return oo[0]===ro?(no=io,!0):!1}),no}return function(){function to(){this.__entries__=[]}return Object.defineProperty(to.prototype,"size",{get:function(){return this.__entries__.length},enumerable:!0,configurable:!0}),to.prototype.get=function(ro){var no=eo(this.__entries__,ro),oo=this.__entries__[no];return oo&&oo[1]},to.prototype.set=function(ro,no){var oo=eo(this.__entries__,ro);~oo?this.__entries__[oo][1]=no:this.__entries__.push([ro,no])},to.prototype.delete=function(ro){var 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+Copyright (c) Microsoft Corporation.
+
+Permission to use, copy, modify, and/or distribute this software for any
+purpose with or without fee is hereby granted.
+
+THE SOFTWARE IS PROVIDED "AS IS" AND THE AUTHOR DISCLAIMS ALL WARRANTIES WITH
+REGARD TO THIS SOFTWARE INCLUDING ALL IMPLIED WARRANTIES OF MERCHANTABILITY
+AND FITNESS. IN NO EVENT SHALL THE AUTHOR BE LIABLE FOR ANY SPECIAL, DIRECT,
+INDIRECT, OR CONSEQUENTIAL DAMAGES OR ANY DAMAGES WHATSOEVER RESULTING FROM
+LOSS OF USE, DATA OR PROFITS, WHETHER IN AN ACTION OF CONTRACT, NEGLIGENCE OR
+OTHER TORTIOUS ACTION, ARISING OUT OF OR IN CONNECTION WITH THE USE OR
+PERFORMANCE OF THIS SOFTWARE.
+***************************************************************************** */var __assign$2=function(){return __assign$2=Object.assign||function(to){for(var ro,no=1,oo=arguments.length;no<oo;no++){ro=arguments[no];for(var io in ro)Object.prototype.hasOwnProperty.call(ro,io)&&(to[io]=ro[io])}return to},__assign$2.apply(this,arguments)};function __spreadArray(eo,to){for(var ro=0,no=to.length,oo=eo.length;ro<no;ro++,oo++)eo[oo]=to[ro];return eo}var InjectionMode={none:0,insertNode:1,appendChild:2},STYLESHEET_SETTING="__stylesheet__",REUSE_STYLE_NODE=typeof navigator<"u"&&/rv:11.0/.test(navigator.userAgent),_global={};try{_global=window||{}}catch{}var _stylesheet,Stylesheet=function(){function eo(to,ro){var no,oo,io,so,ao,lo;this._rules=[],this._preservedRules=[],this._counter=0,this._keyToClassName={},this._onInsertRuleCallbacks=[],this._onResetCallbacks=[],this._classNameToArgs={},this._config=__assign$2({injectionMode:typeof 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_stylesheet},eo.prototype.serialize=function(){return JSON.stringify({classNameToArgs:this._classNameToArgs,counter:this._counter,keyToClassName:this._keyToClassName,preservedRules:this._preservedRules,rules:this._rules})},eo.prototype.setConfig=function(to){this._config=__assign$2(__assign$2({},this._config),to)},eo.prototype.onReset=function(to){var ro=this;return this._onResetCallbacks.push(to),function(){ro._onResetCallbacks=ro._onResetCallbacks.filter(function(no){return no!==to})}},eo.prototype.onInsertRule=function(to){var ro=this;return this._onInsertRuleCallbacks.push(to),function(){ro._onInsertRuleCallbacks=ro._onInsertRuleCallbacks.filter(function(no){return no!==to})}},eo.prototype.getClassName=function(to){var ro=this._config.namespace,no=to||this._config.defaultPrefix;return(ro?ro+"-":"")+no+"-"+this._counter++},eo.prototype.cacheClassName=function(to,ro,no,oo){this._keyToClassName[ro]=to,this._classNameToArgs[to]={args:no,rules:oo}},eo.prototype.classNameFromKey=function(to){return this._keyToClassName[to]},eo.prototype.getClassNameCache=function(){return this._keyToClassName},eo.prototype.argsFromClassName=function(to){var ro=this._classNameToArgs[to];return ro&&ro.args},eo.prototype.insertedRulesFromClassName=function(to){var ro=this._classNameToArgs[to];return ro&&ro.rules},eo.prototype.insertRule=function(to,ro){var no=this._config.injectionMode,oo=no!==InjectionMode.none?this._getStyleElement():void 0;if(ro&&this._preservedRules.push(to),oo)switch(no){case InjectionMode.insertNode:var io=oo.sheet;try{io.insertRule(to,io.cssRules.length)}catch{}break;case InjectionMode.appendChild:oo.appendChild(document.createTextNode(to));break}else this._rules.push(to);this._config.onInsertRule&&this._config.onInsertRule(to),this._onInsertRuleCallbacks.forEach(function(so){return so()})},eo.prototype.getRules=function(to){return(to?this._preservedRules.join(""):"")+this._rules.join("")},eo.prototype.reset=function(){this._rules=[],this._counter=0,this._classNameToArgs={},this._keyToClassName={},this._onResetCallbacks.forEach(function(to){return to()})},eo.prototype.resetKeys=function(){this._keyToClassName={}},eo.prototype._getStyleElement=function(){var to=this;return!this._styleElement&&typeof document<"u"&&(this._styleElement=this._createStyleElement(),REUSE_STYLE_NODE||window.requestAnimationFrame(function(){to._styleElement=void 0})),this._styleElement},eo.prototype._createStyleElement=function(){var to=document.head,ro=document.createElement("style"),no=null;ro.setAttribute("data-merge-styles","true");var oo=this._config.cspSettings;if(oo&&oo.nonce&&ro.setAttribute("nonce",oo.nonce),this._lastStyleElement)no=this._lastStyleElement.nextElementSibling;else{var io=this._findPlaceholderStyleTag();io?no=io.nextElementSibling:no=to.childNodes[0]}return to.insertBefore(ro,to.contains(no)?no:null),this._lastStyleElement=ro,ro},eo.prototype._findPlaceholderStyleTag=function(){var to=document.head;return to?to.querySelector("style[data-merge-styles]"):null},eo}();function extractStyleParts(){for(var eo=[],to=0;to<arguments.length;to++)eo[to]=arguments[to];var ro=[],no=[],oo=Stylesheet.getInstance();function io(so){for(var ao=0,lo=so;ao<lo.length;ao++){var uo=lo[ao];if(uo)if(typeof uo=="string")if(uo.indexOf(" ")>=0)io(uo.split(" "));else{var co=oo.argsFromClassName(uo);co?io(co):ro.indexOf(uo)===-1&&ro.push(uo)}else Array.isArray(uo)?io(uo):typeof uo=="object"&&no.push(uo)}}return io(eo),{classes:ro,objects:no}}function getRTL(){return _rtl===void 0&&(_rtl=typeof document<"u"&&!!document.documentElement&&document.documentElement.getAttribute("dir")==="rtl"),_rtl}var _rtl;_rtl=getRTL();function getStyleOptions(){return{rtl:getRTL()}}var rules={};function kebabRules(eo,to){var ro=eo[to];ro.charAt(0)!=="-"&&(eo[to]=rules[ro]=rules[ro]||ro.replace(/([A-Z])/g,"-$1").toLowerCase())}var _vendorSettings;function getVendorSettings(){var eo;if(!_vendorSettings){var to=typeof document<"u"?document:void 0,ro=typeof navigator<"u"?navigator:void 0,no=(eo=ro==null?void 0:ro.userAgent)===null||eo===void 0?void 0:eo.toLowerCase();to?_vendorSettings={isWebkit:!!(to&&"WebkitAppearance"in to.documentElement.style),isMoz:!!(no&&no.indexOf("firefox")>-1),isOpera:!!(no&&no.indexOf("opera")>-1),isMs:!!(ro&&(/rv:11.0/i.test(ro.userAgent)||/Edge\/\d./i.test(navigator.userAgent)))}:_vendorSettings={isWebkit:!0,isMoz:!0,isOpera:!0,isMs:!0}}return _vendorSettings}var autoPrefixNames={"user-select":1};function prefixRules(eo,to){var ro=getVendorSettings(),no=eo[to];if(autoPrefixNames[no]){var oo=eo[to+1];autoPrefixNames[no]&&(ro.isWebkit&&eo.push("-webkit-"+no,oo),ro.isMoz&&eo.push("-moz-"+no,oo),ro.isMs&&eo.push("-ms-"+no,oo),ro.isOpera&&eo.push("-o-"+no,oo))}}var NON_PIXEL_NUMBER_PROPS=["column-count","font-weight","flex","flex-grow","flex-shrink","fill-opacity","opacity","order","z-index","zoom"];function provideUnits(eo,to){var ro=eo[to],no=eo[to+1];if(typeof no=="number"){var oo=NON_PIXEL_NUMBER_PROPS.indexOf(ro)>-1,io=ro.indexOf("--")>-1,so=oo||io?"":"px";eo[to+1]=""+no+so}}var _a$3,LEFT="left",RIGHT="right",NO_FLIP="@noflip",NAME_REPLACEMENTS=(_a$3={},_a$3[LEFT]=RIGHT,_a$3[RIGHT]=LEFT,_a$3),VALUE_REPLACEMENTS={"w-resize":"e-resize","sw-resize":"se-resize","nw-resize":"ne-resize"};function rtlifyRules(eo,to,ro){if(eo.rtl){var no=to[ro];if(!no)return;var oo=to[ro+1];if(typeof oo=="string"&&oo.indexOf(NO_FLIP)>=0)to[ro+1]=oo.replace(/\s*(?:\/\*\s*)?\@noflip\b(?:\s*\*\/)?\s*?/g,"");else if(no.indexOf(LEFT)>=0)to[ro]=no.replace(LEFT,RIGHT);else if(no.indexOf(RIGHT)>=0)to[ro]=no.replace(RIGHT,LEFT);else if(String(oo).indexOf(LEFT)>=0)to[ro+1]=oo.replace(LEFT,RIGHT);else if(String(oo).indexOf(RIGHT)>=0)to[ro+1]=oo.replace(RIGHT,LEFT);else if(NAME_REPLACEMENTS[no])to[ro]=NAME_REPLACEMENTS[no];else if(VALUE_REPLACEMENTS[oo])to[ro+1]=VALUE_REPLACEMENTS[oo];else switch(no){case"margin":case"padding":to[ro+1]=flipQuad(oo);break;case"box-shadow":to[ro+1]=negateNum(oo,0);break}}}function negateNum(eo,to){var ro=eo.split(" "),no=parseInt(ro[to],10);return ro[0]=ro[0].replace(String(no),String(no*-1)),ro.join(" ")}function flipQuad(eo){if(typeof eo=="string"){var to=eo.split(" ");if(to.length===4)return to[0]+" "+to[3]+" "+to[2]+" "+to[1]}return eo}function tokenizeWithParentheses(eo){for(var to=[],ro=0,no=0,oo=0;oo<eo.length;oo++)switch(eo[oo]){case"(":no++;break;case")":no&&no--;break;case"	":case" ":no||(oo>ro&&to.push(eo.substring(ro,oo)),ro=oo+1);break}return ro<eo.length&&to.push(eo.substring(ro)),to}var DISPLAY_NAME="displayName";function getDisplayName(eo){var to=eo&&eo["&"];return to?to.displayName:void 0}var globalSelectorRegExp=/\:global\((.+?)\)/g;function expandCommaSeparatedGlobals(eo){if(!globalSelectorRegExp.test(eo))return eo;for(var to=[],ro=/\:global\((.+?)\)/g,no=null;no=ro.exec(eo);)no[1].indexOf(",")>-1&&to.push([no.index,no.index+no[0].length,no[1].split(",").map(function(oo){return":global("+oo.trim()+")"}).join(", ")]);return to.reverse().reduce(function(oo,io){var so=io[0],ao=io[1],lo=io[2],uo=oo.slice(0,so),co=oo.slice(ao);return uo+lo+co},eo)}function expandSelector(eo,to){return eo.indexOf(":global(")>=0?eo.replace(globalSelectorRegExp,"$1"):eo.indexOf(":")===0?to+eo:eo.indexOf("&")<0?to+" "+eo:eo}function extractSelector(eo,to,ro,no){to===void 0&&(to={__order:[]}),ro.indexOf("@")===0?(ro=ro+"{"+eo,extractRules([no],to,ro)):ro.indexOf(",")>-1?expandCommaSeparatedGlobals(ro).split(",").map(function(oo){return oo.trim()}).forEach(function(oo){return extractRules([no],to,expandSelector(oo,eo))}):extractRules([no],to,expandSelector(ro,eo))}function extractRules(eo,to,ro){to===void 0&&(to={__order:[]}),ro===void 0&&(ro="&");var no=Stylesheet.getInstance(),oo=to[ro];oo||(oo={},to[ro]=oo,to.__order.push(ro));for(var io=0,so=eo;io<so.length;io++){var ao=so[io];if(typeof ao=="string"){var lo=no.argsFromClassName(ao);lo&&extractRules(lo,to,ro)}else if(Array.isArray(ao))extractRules(ao,to,ro);else for(var uo in ao)if(ao.hasOwnProperty(uo)){var co=ao[uo];if(uo==="selectors"){var fo=ao.selectors;for(var ho in fo)fo.hasOwnProperty(ho)&&extractSelector(ro,to,ho,fo[ho])}else typeof co=="object"?co!==null&&extractSelector(ro,to,uo,co):co!==void 0&&(uo==="margin"||uo==="padding"?expandQuads(oo,uo,co):oo[uo]=co)}}return to}function expandQuads(eo,to,ro){var no=typeof ro=="string"?tokenizeWithParentheses(ro):[ro];no.length===0&&no.push(ro),no[no.length-1]==="!important"&&(no=no.slice(0,-1).map(function(oo){return oo+" !important"})),eo[to+"Top"]=no[0],eo[to+"Right"]=no[1]||no[0],eo[to+"Bottom"]=no[2]||no[0],eo[to+"Left"]=no[3]||no[1]||no[0]}function getKeyForRules(eo,to){for(var ro=[eo.rtl?"rtl":"ltr"],no=!1,oo=0,io=to.__order;oo<io.length;oo++){var so=io[oo];ro.push(so);var ao=to[so];for(var lo in ao)ao.hasOwnProperty(lo)&&ao[lo]!==void 0&&(no=!0,ro.push(lo,ao[lo]))}return no?ro.join(""):void 0}function repeatString(eo,to){return to<=0?"":to===1?eo:eo+repeatString(eo,to-1)}function serializeRuleEntries(eo,to){if(!to)return"";var ro=[];for(var no in to)to.hasOwnProperty(no)&&no!==DISPLAY_NAME&&to[no]!==void 0&&ro.push(no,to[no]);for(var oo=0;oo<ro.length;oo+=2)kebabRules(ro,oo),provideUnits(ro,oo),rtlifyRules(eo,ro,oo),prefixRules(ro,oo);for(var oo=1;oo<ro.length;oo+=4)ro.splice(oo,1,":",ro[oo],";");return ro.join("")}function styleToRegistration(eo){for(var to=[],ro=1;ro<arguments.length;ro++)to[ro-1]=arguments[ro];var no=extractRules(to),oo=getKeyForRules(eo,no);if(oo){var io=Stylesheet.getInstance(),so={className:io.classNameFromKey(oo),key:oo,args:to};if(!so.className){so.className=io.getClassName(getDisplayName(no));for(var ao=[],lo=0,uo=no.__order;lo<uo.length;lo++){var co=uo[lo];ao.push(co,serializeRuleEntries(eo,no[co]))}so.rulesToInsert=ao}return so}}function applyRegistration(eo,to){to===void 0&&(to=1);var ro=Stylesheet.getInstance(),no=eo.className,oo=eo.key,io=eo.args,so=eo.rulesToInsert;if(so){for(var ao=0;ao<so.length;ao+=2){var lo=so[ao+1];if(lo){var uo=so[ao];uo=uo.replace(/&/g,repeatString("."+eo.className,to));var co=uo+"{"+lo+"}"+(uo.indexOf("@")===0?"}":"");ro.insertRule(co)}}ro.cacheClassName(no,oo,io,so)}}function styleToClassName(eo){for(var to=[],ro=1;ro<arguments.length;ro++)to[ro-1]=arguments[ro];var no=styleToRegistration.apply(void 0,__spreadArray([eo],to));return no?(applyRegistration(no,eo.specificityMultiplier),no.className):""}function mergeStyles(){for(var eo=[],to=0;to<arguments.length;to++)eo[to]=arguments[to];return mergeCss(eo,getStyleOptions())}function mergeCss(eo,to){var ro=eo instanceof Array?eo:[eo],no=extractStyleParts(ro),oo=no.classes,io=no.objects;return io.length&&oo.push(styleToClassName(to||{},io)),oo.join(" ")}function styleInject(eo,to){to===void 0&&(to={});var ro=to.insertAt;if(!(!eo||typeof document>"u")){var no=document.head||document.getElementsByTagName("head")[0],oo=document.createElement("style");oo.type="text/css",ro==="top"&&no.firstChild?no.insertBefore(oo,no.firstChild):no.appendChild(oo),oo.styleSheet?oo.styleSheet.cssText=eo:oo.appendChild(document.createTextNode(eo))}}var css_248z=".root_ce9fd48c{margin:0;padding:0}.item_34141342{list-style:none}.content_6abc12be{display:flex;align-items:center}.content_6abc12be:hover{cursor:pointer;background-color:#f3f2f1}.icon_aaa0d589{border-top:6px solid transparent;border-bottom:6px solid transparent;border-left:6px solid #8a8886;margin:0 11px 0 3px}.expanded_6233c4e1{border-left:6px solid transparent;border-right:6px solid transparent;border-top:6px solid #8a8886;margin:3px 8px 0 0}.leaf_f2922997{border:6px solid transparent;margin:0 8px 0 0}.group_7e2ac704,.inner_683a43d6{padding:0;margin:0}",classes$3={root:"root_ce9fd48c",item:"item_34141342",content:"content_6abc12be",icon:"icon_aaa0d589",expanded:"expanded_6233c4e1",leaf:"leaf_f2922997",group:"group_7e2ac704",inner:"inner_683a43d6"};styleInject(css_248z);var mergeTreeClasses=function(eo){return{root:mergeStyles(classes$3.root,eo==null?void 0:eo.root)}},mergeTreeNodeClasses=function(eo,to){var ro,no,oo;return{item:mergeStyles(classes$3.item,to==null?void 0:to.item),icon:mergeStyles(classes$3.icon,eo.expanded&&classes$3.expanded,eo.isLeaf&&classes$3.leaf),group:mergeStyles(classes$3.group,to==null?void 0:to.group),inner:mergeStyles(classes$3.inner,to==null?void 0:to.inner),content:mergeStyles(classes$3.content,(ro=to==null?void 0:to.content)===null||ro===void 0?void 0:ro.base,eo.expanded&&((no=to==null?void 0:to.content)===null||no===void 0?void 0:no.expand),eo.isLeaf&&((oo=to==null?void 0:to.content)===null||oo===void 0?void 0:oo.leaf))}},TreeNode$2=reactExports.forwardRef(function(eo,to){var ro,no,oo,io,so,ao,lo,uo,co=eo.node,fo=eo.classes,ho=eo.indent,po=eo.calcIndent,go=eo.onNodeClick,vo=eo.renderIcon,bo=eo.renderContent,xo=eo.renderInnerContent,_o=!co.isLeaf&&co.expanded,Eo=mergeTreeNodeClasses(co,fo),So=po?po(co):{item:(co.level-1)*((ro=ho==null?void 0:ho.item)!==null&&ro!==void 0?ro:20)+((no=ho==null?void 0:ho.root)!==null&&no!==void 0?no:0),innerItem:co.level*((oo=ho==null?void 0:ho.item)!==null&&oo!==void 0?oo:20)+((io=ho==null?void 0:ho.root)!==null&&io!==void 0?io:0)},To=reactExports.useCallback(function(wo){wo.preventDefault(),wo.stopPropagation()},[]);return reactExports.createElement("div",{key:co.id,role:"treeitem","aria-selected":co.selected,"aria-expanded":co.expanded,tabIndex:-1,className:Eo.item,onClick:go.bind(null,co),"data-item-id":co.id,ref:to},reactExports.createElement("div",{className:Eo.content,style:{paddingLeft:(so=So.item)!==null&&so!==void 0?so:20}},(ao=vo==null?void 0:vo(co))!==null&&ao!==void 0?ao:reactExports.createElement("span",{className:Eo.icon}),(lo=bo==null?void 0:bo(co))!==null&&lo!==void 0?lo:reactExports.createElement("span",{role:"button"},co.title)),_o&&reactExports.createElement(reactExports.Fragment,null,xo&&reactExports.createElement("div",{role:"group",key:"innerContent",className:Eo.inner,style:{paddingLeft:(uo=So.innerItem)!==null&&uo!==void 0?uo:40},onClick:To},xo(co))))});TreeNode$2.displayName="TreeNode";var ReactAccessibleTree=reactExports.forwardRef(function(eo,to){var ro=eo.selectedKeys,no=ro===void 0?[]:ro,oo=eo.expandedKeys,io=oo===void 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Zo=io,_s=Yo.id,Ss=!Yo.expanded;Ss?Zo=arrAdd(Zo,_s):Zo=arrDel(Zo,_s),Eo==null||Eo(Zo,{node:Yo,expanded:Ss,nativeEvent:Uo}),Ss&&So&&Do(Yo)},Do=function(Uo){Co(function(Yo){var Zo=Yo.loadedKeys,_s=Yo.loadingKeys,Ss=Uo.id;if(!So||Zo.includes(Ss)||_s.includes(Ss))return wo;var As=So(Uo);return As.then(function(){var Ns=wo.loadedKeys,ws=wo.loadingKeys,Ds=arrAdd(Ns,Ss),Jo=arrDel(ws,Ss);Co({loadedKeys:Ds,loadingKeys:Jo})}),{loadedKeys:Zo,loadingKeys:arrAdd(_s,Ss)}})},jo=function(Uo){var Yo,Zo,_s=Array.from((Zo=(Yo=Oo.current)===null||Yo===void 0?void 0:Yo.querySelectorAll("div[role='treeitem']"))!==null&&Zo!==void 0?Zo:[]);_s.forEach(function(Ss,As){As===Uo?Ss.setAttribute("tabindex","0"):Ss.setAttribute("tabindex","-1")})},Fo=function(Uo){var Yo,Zo,_s;Uo.stopPropagation();var Ss=Uo.target;if(Ss.getAttribute("role")!=="treeitem"||Uo.ctrlKey||Uo.metaKey)return-1;var As=Array.from((Zo=(Yo=Oo.current)===null||Yo===void 0?void 0:Yo.querySelectorAll("div[role='treeitem']"))!==null&&Zo!==void 0?Zo:[]),Ns=As.indexOf(Ss),ws=Uo.keyCode>=65&&Uo.keyCode<=90;if(ws){var Ds=-1,Jo=As.findIndex(function(zs,Ls){var ga=zs.getAttribute("data-item-id"),Js=Node$1.nodesMap.get(ga??""),Xs=Js==null?void 0:Js.searchKeys.some(function($a){return $a.match(new RegExp("^"+Uo.key,"i"))});return Xs&&Ls>Ns?!0:(Xs&&Ls<=Ns&&(Ds=Ds===-1?Ls:Ds),!1)}),Cs=Jo===-1?Ds:Jo;return(_s=As[Cs])===null||_s===void 0||_s.focus(),Cs}switch(Uo.key){case"ArrowDown":{var Bs=(Ns+1)%As.length;return As[Bs].focus(),Bs}case"ArrowUp":{var Bs=(Ns-1+As.length)%As.length;return As[Bs].focus(),Bs}case"ArrowLeft":case"ArrowRight":return Ss.click(),Ns;case"Home":return As[0].focus(),0;case"End":return As[As.length-1].focus(),As.length-1;default:return po==null||po(Uo),Ns}},$o=function(Uo){var Yo=Fo(Uo);Yo>-1&&jo(Yo)},Lo=function(Uo,Yo){Yo.stopPropagation(),No(Yo,Uo),!(Uo.loading||Uo.loaded&&Uo.isLeaf)&&Mo(Yo,Uo)},Ho=mergeTreeClasses(ao),qo=function(Uo){return Uo.id};return reactExports.createElement("div",{role:"tree",className:Ho.root,onKeyDown:$o,ref:Oo},reactExports.createElement(List,{data:Ro,itemKey:qo,height:uo,fullHeight:!1,virtual:fo,itemHeight:co,ref:Ao},function(Uo){return reactExports.createElement(TreeNode$2,{key:Uo.id,node:Uo,classes:ao,indent:lo,calcIndent:ho,renderIcon:go,renderContent:vo,renderInnerContent:bo,onNodeClick:Lo})}))});ReactAccessibleTree.displayName="ReactAccessibleTree";var __extends$1=function(){var eo=function(to,ro){return eo=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(no,oo){no.__proto__=oo}||function(no,oo){for(var io in oo)Object.prototype.hasOwnProperty.call(oo,io)&&(no[io]=oo[io])},eo(to,ro)};return function(to,ro){eo(to,ro);function no(){this.constructor=to}to.prototype=ro===null?Object.create(ro):(no.prototype=ro.prototype,new no)}}(),__assign$1=function(){return __assign$1=Object.assign||function(eo){for(var to,ro=1,no=arguments.length;ro<no;ro++){to=arguments[ro];for(var oo in to)Object.prototype.hasOwnProperty.call(to,oo)&&(eo[oo]=to[oo])}return eo},__assign$1.apply(this,arguments)},rowSizeBase={width:"100%",height:"10px",top:"0px",left:"0px",cursor:"row-resize"},colSizeBase={width:"10px",height:"100%",top:"0px",left:"0px",cursor:"col-resize"},edgeBase={width:"20px",height:"20px",position:"absolute"},styles={top:__assign$1(__assign$1({},rowSizeBase),{top:"-5px"}),right:__assign$1(__assign$1({},colSizeBase),{left:void 0,right:"-5px"}),bottom:__assign$1(__assign$1({},rowSizeBase),{top:void 0,bottom:"-5px"}),left:__assign$1(__assign$1({},colSizeBase),{left:"-5px"}),topRight:__assign$1(__assign$1({},edgeBase),{right:"-10px",top:"-10px",cursor:"ne-resize"}),bottomRight:__assign$1(__assign$1({},edgeBase),{right:"-10px",bottom:"-10px",cursor:"se-resize"}),bottomLeft:__assign$1(__assign$1({},edgeBase),{left:"-10px",bottom:"-10px",cursor:"sw-resize"}),topLeft:__assign$1(__assign$1({},edgeBase),{left:"-10px",top:"-10px",cursor:"nw-resize"})},Resizer=function(eo){__extends$1(to,eo);function to(){var ro=eo!==null&&eo.apply(this,arguments)||this;return ro.onMouseDown=function(no){ro.props.onResizeStart(no,ro.props.direction)},ro.onTouchStart=function(no){ro.props.onResizeStart(no,ro.props.direction)},ro}return to.prototype.render=function(){return reactExports.createElement("div",{className:this.props.className||"",style:__assign$1(__assign$1({position:"absolute",userSelect:"none"},styles[this.props.direction]),this.props.replaceStyles||{}),onMouseDown:this.onMouseDown,onTouchStart:this.onTouchStart},this.props.children)},to}(reactExports.PureComponent),__extends=function(){var eo=function(to,ro){return eo=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(no,oo){no.__proto__=oo}||function(no,oo){for(var io in oo)Object.prototype.hasOwnProperty.call(oo,io)&&(no[io]=oo[io])},eo(to,ro)};return function(to,ro){eo(to,ro);function no(){this.constructor=to}to.prototype=ro===null?Object.create(ro):(no.prototype=ro.prototype,new no)}}(),__assign=function(){return __assign=Object.assign||function(eo){for(var to,ro=1,no=arguments.length;ro<no;ro++){to=arguments[ro];for(var oo in to)Object.prototype.hasOwnProperty.call(to,oo)&&(eo[oo]=to[oo])}return eo},__assign.apply(this,arguments)},DEFAULT_SIZE={width:"auto",height:"auto"},clamp=function(eo,to,ro){return Math.max(Math.min(eo,ro),to)},snap=function(eo,to){return Math.round(eo/to)*to},hasDirection=function(eo,to){return new RegExp(eo,"i").test(to)},isTouchEvent=function(eo){return!!(eo.touches&&eo.touches.length)},isMouseEvent=function(eo){return!!((eo.clientX||eo.clientX===0)&&(eo.clientY||eo.clientY===0))},findClosestSnap=function(eo,to,ro){ro===void 0&&(ro=0);var no=to.reduce(function(io,so,ao){return Math.abs(so-eo)<Math.abs(to[io]-eo)?ao:io},0),oo=Math.abs(to[no]-eo);return ro===0||oo<ro?to[no]:eo},getStringSize=function(eo){return eo=eo.toString(),eo==="auto"||eo.endsWith("px")||eo.endsWith("%")||eo.endsWith("vh")||eo.endsWith("vw")||eo.endsWith("vmax")||eo.endsWith("vmin")?eo:eo+"px"},getPixelSize=function(eo,to,ro,no){if(eo&&typeof eo=="string"){if(eo.endsWith("px"))return Number(eo.replace("px",""));if(eo.endsWith("%")){var oo=Number(eo.replace("%",""))/100;return to*oo}if(eo.endsWith("vw")){var oo=Number(eo.replace("vw",""))/100;return ro*oo}if(eo.endsWith("vh")){var oo=Number(eo.replace("vh",""))/100;return no*oo}}return eo},calculateNewMax=function(eo,to,ro,no,oo,io,so){return no=getPixelSize(no,eo.width,to,ro),oo=getPixelSize(oo,eo.height,to,ro),io=getPixelSize(io,eo.width,to,ro),so=getPixelSize(so,eo.height,to,ro),{maxWidth:typeof no>"u"?void 0:Number(no),maxHeight:typeof oo>"u"?void 0:Number(oo),minWidth:typeof io>"u"?void 0:Number(io),minHeight:typeof so>"u"?void 0:Number(so)}},definedProps=["as","style","className","grid","snap","bounds","boundsByDirection","size","defaultSize","minWidth","minHeight","maxWidth","maxHeight","lockAspectRatio","lockAspectRatioExtraWidth","lockAspectRatioExtraHeight","enable","handleStyles","handleClasses","handleWrapperStyle","handleWrapperClass","children","onResizeStart","onResize","onResizeStop","handleComponent","scale","resizeRatio","snapGap"],baseClassName="__resizable_base__",Resizable=function(eo){__extends(to,eo);function to(ro){var no=eo.call(this,ro)||this;return no.ratio=1,no.resizable=null,no.parentLeft=0,no.parentTop=0,no.resizableLeft=0,no.resizableRight=0,no.resizableTop=0,no.resizableBottom=0,no.targetLeft=0,no.targetTop=0,no.appendBase=function(){if(!no.resizable||!no.window)return null;var oo=no.parentNode;if(!oo)return null;var io=no.window.document.createElement("div");return io.style.width="100%",io.style.height="100%",io.style.position="absolute",io.style.transform="scale(0, 0)",io.style.left="0",io.style.flex="0 0 100%",io.classList?io.classList.add(baseClassName):io.className+=baseClassName,oo.appendChild(io),io},no.removeBase=function(oo){var io=no.parentNode;io&&io.removeChild(oo)},no.ref=function(oo){oo&&(no.resizable=oo)},no.state={isResizing:!1,width:typeof(no.propsSize&&no.propsSize.width)>"u"?"auto":no.propsSize&&no.propsSize.width,height:typeof(no.propsSize&&no.propsSize.height)>"u"?"auto":no.propsSize&&no.propsSize.height,direction:"right",original:{x:0,y:0,width:0,height:0},backgroundStyle:{height:"100%",width:"100%",backgroundColor:"rgba(0,0,0,0)",cursor:"auto",opacity:0,position:"fixed",zIndex:9999,top:"0",left:"0",bottom:"0",right:"0"},flexBasis:void 0},no.onResizeStart=no.onResizeStart.bind(no),no.onMouseMove=no.onMouseMove.bind(no),no.onMouseUp=no.onMouseUp.bind(no),no}return Object.defineProperty(to.prototype,"parentNode",{get:function(){return this.resizable?this.resizable.parentNode:null},enumerable:!1,configurable:!0}),Object.defineProperty(to.prototype,"window",{get:function(){return!this.resizable||!this.resizable.ownerDocument?null:this.resizable.ownerDocument.defaultView},enumerable:!1,configurable:!0}),Object.defineProperty(to.prototype,"propsSize",{get:function(){return this.props.size||this.props.defaultSize||DEFAULT_SIZE},enumerable:!1,configurable:!0}),Object.defineProperty(to.prototype,"size",{get:function(){var ro=0,no=0;if(this.resizable&&this.window){var oo=this.resizable.offsetWidth,io=this.resizable.offsetHeight,so=this.resizable.style.position;so!=="relative"&&(this.resizable.style.position="relative"),ro=this.resizable.style.width!=="auto"?this.resizable.offsetWidth:oo,no=this.resizable.style.height!=="auto"?this.resizable.offsetHeight:io,this.resizable.style.position=so}return{width:ro,height:no}},enumerable:!1,configurable:!0}),Object.defineProperty(to.prototype,"sizeStyle",{get:function(){var ro=this,no=this.props.size,oo=function(ao){if(typeof ro.state[ao]>"u"||ro.state[ao]==="auto")return"auto";if(ro.propsSize&&ro.propsSize[ao]&&ro.propsSize[ao].toString().endsWith("%")){if(ro.state[ao].toString().endsWith("%"))return ro.state[ao].toString();var lo=ro.getParentSize(),uo=Number(ro.state[ao].toString().replace("px","")),co=uo/lo[ao]*100;return co+"%"}return getStringSize(ro.state[ao])},io=no&&typeof no.width<"u"&&!this.state.isResizing?getStringSize(no.width):oo("width"),so=no&&typeof no.height<"u"&&!this.state.isResizing?getStringSize(no.height):oo("height");return{width:io,height:so}},enumerable:!1,configurable:!0}),to.prototype.getParentSize=function(){if(!this.parentNode)return this.window?{width:this.window.innerWidth,height:this.window.innerHeight}:{width:0,height:0};var ro=this.appendBase();if(!ro)return{width:0,height:0};var no=!1,oo=this.parentNode.style.flexWrap;oo!=="wrap"&&(no=!0,this.parentNode.style.flexWrap="wrap"),ro.style.position="relative",ro.style.minWidth="100%",ro.style.minHeight="100%";var io={width:ro.offsetWidth,height:ro.offsetHeight};return no&&(this.parentNode.style.flexWrap=oo),this.removeBase(ro),io},to.prototype.bindEvents=function(){this.window&&(this.window.addEventListener("mouseup",this.onMouseUp),this.window.addEventListener("mousemove",this.onMouseMove),this.window.addEventListener("mouseleave",this.onMouseUp),this.window.addEventListener("touchmove",this.onMouseMove,{capture:!0,passive:!1}),this.window.addEventListener("touchend",this.onMouseUp))},to.prototype.unbindEvents=function(){this.window&&(this.window.removeEventListener("mouseup",this.onMouseUp),this.window.removeEventListener("mousemove",this.onMouseMove),this.window.removeEventListener("mouseleave",this.onMouseUp),this.window.removeEventListener("touchmove",this.onMouseMove,!0),this.window.removeEventListener("touchend",this.onMouseUp))},to.prototype.componentDidMount=function(){if(!(!this.resizable||!this.window)){var ro=this.window.getComputedStyle(this.resizable);this.setState({width:this.state.width||this.size.width,height:this.state.height||this.size.height,flexBasis:ro.flexBasis!=="auto"?ro.flexBasis:void 0})}},to.prototype.componentWillUnmount=function(){this.window&&this.unbindEvents()},to.prototype.createSizeForCssProperty=function(ro,no){var oo=this.propsSize&&this.propsSize[no];return this.state[no]==="auto"&&this.state.original[no]===ro&&(typeof oo>"u"||oo==="auto")?"auto":ro},to.prototype.calculateNewMaxFromBoundary=function(ro,no){var oo=this.props.boundsByDirection,io=this.state.direction,so=oo&&hasDirection("left",io),ao=oo&&hasDirection("top",io),lo,uo;if(this.props.bounds==="parent"){var co=this.parentNode;co&&(lo=so?this.resizableRight-this.parentLeft:co.offsetWidth+(this.parentLeft-this.resizableLeft),uo=ao?this.resizableBottom-this.parentTop:co.offsetHeight+(this.parentTop-this.resizableTop))}else this.props.bounds==="window"?this.window&&(lo=so?this.resizableRight:this.window.innerWidth-this.resizableLeft,uo=ao?this.resizableBottom:this.window.innerHeight-this.resizableTop):this.props.bounds&&(lo=so?this.resizableRight-this.targetLeft:this.props.bounds.offsetWidth+(this.targetLeft-this.resizableLeft),uo=ao?this.resizableBottom-this.targetTop:this.props.bounds.offsetHeight+(this.targetTop-this.resizableTop));return lo&&Number.isFinite(lo)&&(ro=ro&&ro<lo?ro:lo),uo&&Number.isFinite(uo)&&(no=no&&no<uo?no:uo),{maxWidth:ro,maxHeight:no}},to.prototype.calculateNewSizeFromDirection=function(ro,no){var oo=this.props.scale||1,io=this.props.resizeRatio||1,so=this.state,ao=so.direction,lo=so.original,uo=this.props,co=uo.lockAspectRatio,fo=uo.lockAspectRatioExtraHeight,ho=uo.lockAspectRatioExtraWidth,po=lo.width,go=lo.height,vo=fo||0,bo=ho||0;return hasDirection("right",ao)&&(po=lo.width+(ro-lo.x)*io/oo,co&&(go=(po-bo)/this.ratio+vo)),hasDirection("left",ao)&&(po=lo.width-(ro-lo.x)*io/oo,co&&(go=(po-bo)/this.ratio+vo)),hasDirection("bottom",ao)&&(go=lo.height+(no-lo.y)*io/oo,co&&(po=(go-vo)*this.ratio+bo)),hasDirection("top",ao)&&(go=lo.height-(no-lo.y)*io/oo,co&&(po=(go-vo)*this.ratio+bo)),{newWidth:po,newHeight:go}},to.prototype.calculateNewSizeFromAspectRatio=function(ro,no,oo,io){var so=this.props,ao=so.lockAspectRatio,lo=so.lockAspectRatioExtraHeight,uo=so.lockAspectRatioExtraWidth,co=typeof io.width>"u"?10:io.width,fo=typeof oo.width>"u"||oo.width<0?ro:oo.width,ho=typeof io.height>"u"?10:io.height,po=typeof oo.height>"u"||oo.height<0?no:oo.height,go=lo||0,vo=uo||0;if(ao){var bo=(ho-go)*this.ratio+vo,xo=(po-go)*this.ratio+vo,_o=(co-vo)/this.ratio+go,Eo=(fo-vo)/this.ratio+go,So=Math.max(co,bo),To=Math.min(fo,xo),wo=Math.max(ho,_o),Co=Math.min(po,Eo);ro=clamp(ro,So,To),no=clamp(no,wo,Co)}else ro=clamp(ro,co,fo),no=clamp(no,ho,po);return{newWidth:ro,newHeight:no}},to.prototype.setBoundingClientRect=function(){if(this.props.bounds==="parent"){var ro=this.parentNode;if(ro){var no=ro.getBoundingClientRect();this.parentLeft=no.left,this.parentTop=no.top}}if(this.props.bounds&&typeof this.props.bounds!="string"){var oo=this.props.bounds.getBoundingClientRect();this.targetLeft=oo.left,this.targetTop=oo.top}if(this.resizable){var io=this.resizable.getBoundingClientRect(),so=io.left,ao=io.top,lo=io.right,uo=io.bottom;this.resizableLeft=so,this.resizableRight=lo,this.resizableTop=ao,this.resizableBottom=uo}},to.prototype.onResizeStart=function(ro,no){if(!(!this.resizable||!this.window)){var oo=0,io=0;if(ro.nativeEvent&&isMouseEvent(ro.nativeEvent)?(oo=ro.nativeEvent.clientX,io=ro.nativeEvent.clientY):ro.nativeEvent&&isTouchEvent(ro.nativeEvent)&&(oo=ro.nativeEvent.touches[0].clientX,io=ro.nativeEvent.touches[0].clientY),this.props.onResizeStart&&this.resizable){var so=this.props.onResizeStart(ro,no,this.resizable);if(so===!1)return}this.props.size&&(typeof this.props.size.height<"u"&&this.props.size.height!==this.state.height&&this.setState({height:this.props.size.height}),typeof this.props.size.width<"u"&&this.props.size.width!==this.state.width&&this.setState({width:this.props.size.width})),this.ratio=typeof this.props.lockAspectRatio=="number"?this.props.lockAspectRatio:this.size.width/this.size.height;var ao,lo=this.window.getComputedStyle(this.resizable);if(lo.flexBasis!=="auto"){var uo=this.parentNode;if(uo){var co=this.window.getComputedStyle(uo).flexDirection;this.flexDir=co.startsWith("row")?"row":"column",ao=lo.flexBasis}}this.setBoundingClientRect(),this.bindEvents();var fo={original:{x:oo,y:io,width:this.size.width,height:this.size.height},isResizing:!0,backgroundStyle:__assign(__assign({},this.state.backgroundStyle),{cursor:this.window.getComputedStyle(ro.target).cursor||"auto"}),direction:no,flexBasis:ao};this.setState(fo)}},to.prototype.onMouseMove=function(ro){var no=this;if(!(!this.state.isResizing||!this.resizable||!this.window)){if(this.window.TouchEvent&&isTouchEvent(ro))try{ro.preventDefault(),ro.stopPropagation()}catch{}var oo=this.props,io=oo.maxWidth,so=oo.maxHeight,ao=oo.minWidth,lo=oo.minHeight,uo=isTouchEvent(ro)?ro.touches[0].clientX:ro.clientX,co=isTouchEvent(ro)?ro.touches[0].clientY:ro.clientY,fo=this.state,ho=fo.direction,po=fo.original,go=fo.width,vo=fo.height,bo=this.getParentSize(),xo=calculateNewMax(bo,this.window.innerWidth,this.window.innerHeight,io,so,ao,lo);io=xo.maxWidth,so=xo.maxHeight,ao=xo.minWidth,lo=xo.minHeight;var _o=this.calculateNewSizeFromDirection(uo,co),Eo=_o.newHeight,So=_o.newWidth,To=this.calculateNewMaxFromBoundary(io,so);this.props.snap&&this.props.snap.x&&(So=findClosestSnap(So,this.props.snap.x,this.props.snapGap)),this.props.snap&&this.props.snap.y&&(Eo=findClosestSnap(Eo,this.props.snap.y,this.props.snapGap));var wo=this.calculateNewSizeFromAspectRatio(So,Eo,{width:To.maxWidth,height:To.maxHeight},{width:ao,height:lo});if(So=wo.newWidth,Eo=wo.newHeight,this.props.grid){var Co=snap(So,this.props.grid[0]),Oo=snap(Eo,this.props.grid[1]),Ao=this.props.snapGap||0;So=Ao===0||Math.abs(Co-So)<=Ao?Co:So,Eo=Ao===0||Math.abs(Oo-Eo)<=Ao?Oo:Eo}var Ro={width:So-po.width,height:Eo-po.height};if(go&&typeof go=="string"){if(go.endsWith("%")){var No=So/bo.width*100;So=No+"%"}else if(go.endsWith("vw")){var Mo=So/this.window.innerWidth*100;So=Mo+"vw"}else if(go.endsWith("vh")){var Do=So/this.window.innerHeight*100;So=Do+"vh"}}if(vo&&typeof vo=="string"){if(vo.endsWith("%")){var No=Eo/bo.height*100;Eo=No+"%"}else if(vo.endsWith("vw")){var Mo=Eo/this.window.innerWidth*100;Eo=Mo+"vw"}else if(vo.endsWith("vh")){var Do=Eo/this.window.innerHeight*100;Eo=Do+"vh"}}var jo={width:this.createSizeForCssProperty(So,"width"),height:this.createSizeForCssProperty(Eo,"height")};this.flexDir==="row"?jo.flexBasis=jo.width:this.flexDir==="column"&&(jo.flexBasis=jo.height),reactDomExports.flushSync(function(){no.setState(jo)}),this.props.onResize&&this.props.onResize(ro,ho,this.resizable,Ro)}},to.prototype.onMouseUp=function(ro){var no=this.state,oo=no.isResizing,io=no.direction,so=no.original;if(!(!oo||!this.resizable)){var ao={width:this.size.width-so.width,height:this.size.height-so.height};this.props.onResizeStop&&this.props.onResizeStop(ro,io,this.resizable,ao),this.props.size&&this.setState(this.props.size),this.unbindEvents(),this.setState({isResizing:!1,backgroundStyle:__assign(__assign({},this.state.backgroundStyle),{cursor:"auto"})})}},to.prototype.updateSize=function(ro){this.setState({width:ro.width,height:ro.height})},to.prototype.renderResizer=function(){var ro=this,no=this.props,oo=no.enable,io=no.handleStyles,so=no.handleClasses,ao=no.handleWrapperStyle,lo=no.handleWrapperClass,uo=no.handleComponent;if(!oo)return null;var co=Object.keys(oo).map(function(fo){return oo[fo]!==!1?reactExports.createElement(Resizer,{key:fo,direction:fo,onResizeStart:ro.onResizeStart,replaceStyles:io&&io[fo],className:so&&so[fo]},uo&&uo[fo]?uo[fo]:null):null});return reactExports.createElement("div",{className:lo,style:ao},co)},to.prototype.render=function(){var ro=this,no=Object.keys(this.props).reduce(function(so,ao){return definedProps.indexOf(ao)!==-1||(so[ao]=ro.props[ao]),so},{}),oo=__assign(__assign(__assign({position:"relative",userSelect:this.state.isResizing?"none":"auto"},this.props.style),this.sizeStyle),{maxWidth:this.props.maxWidth,maxHeight:this.props.maxHeight,minWidth:this.props.minWidth,minHeight:this.props.minHeight,boxSizing:"border-box",flexShrink:0});this.state.flexBasis&&(oo.flexBasis=this.state.flexBasis);var io=this.props.as||"div";return reactExports.createElement(io,__assign({ref:this.ref,style:oo,className:this.props.className},no),this.state.isResizing&&reactExports.createElement("div",{style:this.state.backgroundStyle}),this.props.children,this.renderResizer())},to.defaultProps={as:"div",onResizeStart:function(){},onResize:function(){},onResizeStop:function(){},enable:{top:!0,right:!0,bottom:!0,left:!0,topRight:!0,bottomRight:!0,bottomLeft:!0,topLeft:!0},style:{},grid:[1,1],lockAspectRatio:!1,lockAspectRatioExtraWidth:0,lockAspectRatioExtraHeight:0,scale:1,resizeRatio:1,snapGap:0},to}(reactExports.PureComponent),_a$2;const tasksToTaskRows=(eo,to)=>eo.map(ro=>({...ro,level:to,children:ro.children?tasksToTaskRows(ro.children,to+1):void 0})),tv=class tv{constructor(){this.rows$=new State$1(List$1([])),this.selectedRowId$=new State$1(void 0),this.startTime=Number.MAX_SAFE_INTEGER,this.endTime=0}toggleRow(to){const ro=this.rows$.getSnapshot(),no=ro.findIndex(ao=>ao.id===to),oo=ro.get(no);if(!oo)return;const{children:io}=oo;if(!io)return;const so=[...ro];so[no]={...oo,isExpanded:!oo.isExpanded},oo.isExpanded?so.splice(no+1,io.length):so.splice(no+1,0,...io),this.rows$.next(List$1(so))}setRows(to){this.rows$.next(List$1(to))}setTasks(to){this.startTime=Number.MAX_SAFE_INTEGER,this.endTime=0,this.rows$.next(List$1(tasksToTaskRows(to,0)));const ro=no=>{no.forEach(oo=>{oo.startTime<this.startTime&&(this.startTime=oo.startTime),oo.endTime>this.endTime&&(this.endTime=oo.endTime),oo.children&&ro(oo.children)})};ro(to)}};_a$2=SINGLETON,tv[_a$2]=!0;let GanttViewModel=tv;const GanttViewModelToken=createInjectionToken("GanttViewModel",new GanttViewModel);function r$2(eo){var to,ro,no="";if(typeof eo=="string"||typeof eo=="number")no+=eo;else if(typeof eo=="object")if(Array.isArray(eo))for(to=0;to<eo.length;to++)eo[to]&&(ro=r$2(eo[to]))&&(no&&(no+=" "),no+=ro);else for(to in eo)eo[to]&&(no&&(no+=" "),no+=to);return no}function clsx(){for(var eo,to,ro=0,no="";ro<arguments.length;)(eo=arguments[ro++])&&(to=r$2(eo))&&(no&&(no+=" "),no+=to);return no}function getColSpan(eo,to,ro){const no=typeof eo.colSpan=="function"?eo.colSpan(ro):1;if(Number.isInteger(no)&&no>1&&(!eo.frozen||eo.idx+no-1<=to))return no}function stopPropagation(eo){eo.stopPropagation()}function scrollIntoView$2(eo){eo==null||eo.scrollIntoView({inline:"nearest",block:"nearest"})}function createCellEvent(eo){let to=!1;const ro={...eo,preventGridDefault(){to=!0},isGridDefaultPrevented(){return to}};return Object.setPrototypeOf(ro,Object.getPrototypeOf(eo)),ro}const nonInputKeys=new Set(["Unidentified","Alt","AltGraph","CapsLock","Control","Fn","FnLock","Meta","NumLock","ScrollLock","Shift","Tab","ArrowDown","ArrowLeft","ArrowRight","ArrowUp","End","Home","PageDown","PageUp","Insert","ContextMenu","Escape","Pause","Play","PrintScreen","F1","F3","F4","F5","F6","F7","F8","F9","F10","F11","F12"]);function isCtrlKeyHeldDown(eo){return(eo.ctrlKey||eo.metaKey)&&eo.key!=="Control"}function isDefaultCellInput(eo){return!nonInputKeys.has(eo.key)}function onEditorNavigation({key:eo,target:to}){var ro;return eo==="Tab"&&(to instanceof HTMLInputElement||to instanceof HTMLTextAreaElement||to instanceof HTMLSelectElement)?((ro=to.closest(".rdg-editor-container"))==null?void 0:ro.querySelectorAll("input, textarea, select").length)===1:!1}const measuringCellClassname="m1l09lto7-0-0-beta-39";function renderMeasuringCells(eo){return eo.map(({key:to,idx:ro,minWidth:no,maxWidth:oo})=>jsxRuntimeExports.jsx("div",{className:measuringCellClassname,style:{gridColumnStart:ro+1,minWidth:no,maxWidth:oo},"data-measuring-cell-key":to},to))}function isSelectedCellEditable({selectedPosition:eo,columns:to,rows:ro}){const no=to[eo.idx],oo=ro[eo.rowIdx];return isCellEditable(no,oo)}function isCellEditable(eo,to){return eo.renderEditCell!=null&&(typeof eo.editable=="function"?eo.editable(to):eo.editable)!==!1}function 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${cell}`,cellFrozen="cd0kgiy7-0-0-beta-39",cellFrozenClassname=`rdg-cell-frozen ${cellFrozen}`,cellFrozenLast="c1730fa47-0-0-beta-39",cellFrozenLastClassname=`rdg-cell-frozen-last ${cellFrozenLast}`;function getRowStyle(eo,to){return to!==void 0?{"--rdg-grid-row-start":eo,"--rdg-row-height":`${to}px`}:{"--rdg-grid-row-start":eo}}function getHeaderCellStyle(eo,to,ro){const no=to+1,oo=`calc(${ro-1} * var(--rdg-header-row-height))`;return eo.parent===void 0?{insetBlockStart:0,gridRowStart:1,gridRowEnd:no,paddingBlockStart:oo}:{insetBlockStart:`calc(${to-ro} * var(--rdg-header-row-height))`,gridRowStart:no-ro,gridRowEnd:no,paddingBlockStart:oo}}function getCellStyle(eo,to=1){const ro=eo.idx+1;return{gridColumnStart:ro,gridColumnEnd:ro+to,insetInlineStart:eo.frozen?`var(--rdg-frozen-left-${eo.idx})`:void 0}}function getCellClassname(eo,...to){return clsx(cellClassname,...to,eo.frozen&&cellFrozenClassname,eo.isLastFrozenColumn&&cellFrozenLastClassname)}const{min,max,round,floor,sign,abs:abs$1}=Math;function assertIsValidKeyGetter(eo){if(typeof eo!="function")throw new Error("Please specify the rowKeyGetter prop to use selection")}function clampColumnWidth(eo,{minWidth:to,maxWidth:ro}){return eo=max(eo,to),typeof ro=="number"&&ro>=to?min(eo,ro):eo}function getHeaderCellRowSpan(eo,to){return eo.parent===void 0?to:eo.level-eo.parent.level}const checkboxLabel="c1hs68w07-0-0-beta-39",checkboxLabelClassname=`rdg-checkbox-label ${checkboxLabel}`,checkboxInput="cojpd0n7-0-0-beta-39",checkboxInputClassname=`rdg-checkbox-input ${checkboxInput}`,checkbox="cwsfieb7-0-0-beta-39",checkboxClassname=`rdg-checkbox ${checkbox}`,checkboxLabelDisabled="c1fgadbl7-0-0-beta-39",checkboxLabelDisabledClassname=`rdg-checkbox-label-disabled ${checkboxLabelDisabled}`;function renderCheckbox({onChange:eo,...to}){function 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useCalculatedColumns({rawColumns:eo,defaultColumnOptions:to,measuredColumnWidths:ro,resizedColumnWidths:no,viewportWidth:oo,scrollLeft:io,enableVirtualization:so}){const ao=(to==null?void 0:to.width)??DEFAULT_COLUMN_WIDTH,lo=(to==null?void 0:to.minWidth)??DEFAULT_COLUMN_MIN_WIDTH,uo=(to==null?void 0:to.maxWidth)??void 0,co=(to==null?void 0:to.renderCell)??renderValue,fo=(to==null?void 0:to.sortable)??!1,ho=(to==null?void 0:to.resizable)??!1,po=(to==null?void 0:to.draggable)??!1,{columns:go,colSpanColumns:vo,lastFrozenColumnIndex:bo,headerRowsCount:xo}=reactExports.useMemo(()=>{let Oo=-1,Ao=1;const Ro=[];No(eo,1);function No(Do,jo,Fo){for(const $o of Do){if("children"in $o){const qo={name:$o.name,parent:Fo,idx:-1,colSpan:0,level:0,headerCellClass:$o.headerCellClass};No($o.children,jo+1,qo);continue}const Lo=$o.frozen??!1,Ho={...$o,parent:Fo,idx:0,level:0,frozen:Lo,isLastFrozenColumn:!1,width:$o.width??ao,minWidth:$o.minWidth??lo,maxWidth:$o.maxWidth??uo,sortable:$o.sortable??fo,resizable:$o.resizable??ho,draggable:$o.draggable??po,renderCell:$o.renderCell??co};Ro.push(Ho),Lo&&Oo++,jo>Ao&&(Ao=jo)}}Ro.sort(({key:Do,frozen:jo},{key:Fo,frozen:$o})=>Do===SELECT_COLUMN_KEY?-1:Fo===SELECT_COLUMN_KEY?1:jo?$o?0:-1:$o?1:0);const Mo=[];return Ro.forEach((Do,jo)=>{Do.idx=jo,updateColumnParent(Do,jo,0),Do.colSpan!=null&&Mo.push(Do)}),Oo!==-1&&(Ro[Oo].isLastFrozenColumn=!0),{columns:Ro,colSpanColumns:Mo,lastFrozenColumnIndex:Oo,headerRowsCount:Ao}},[eo,ao,lo,uo,co,ho,fo,po]),{templateColumns:_o,layoutCssVars:Eo,totalFrozenColumnWidth:So,columnMetrics:To}=reactExports.useMemo(()=>{const Oo=new Map;let Ao=0,Ro=0;const No=[];for(const Do of go){let jo=no.get(Do.key)??ro.get(Do.key)??Do.width;typeof 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updateColumnParent(eo,to,ro){if(ro<eo.level&&(eo.level=ro),eo.parent!==void 0){const{parent:no}=eo;no.idx===-1&&(no.idx=to),no.colSpan+=1,updateColumnParent(no,to,ro-1)}}const useLayoutEffect=typeof window>"u"?reactExports.useEffect:reactExports.useLayoutEffect;function useColumnWidths(eo,to,ro,no,oo,io,so,ao,lo,uo){const co=reactExports.useRef(oo),fo=eo.length===to.length,ho=fo&&oo!==co.current,po=[...ro],go=[];for(const{key:_o,idx:Eo,width:So}of to)typeof So=="string"&&(ho||!so.has(_o))&&!io.has(_o)&&(po[Eo]=So,go.push(_o));const vo=po.join(" ");useLayoutEffect(()=>{co.current=oo,bo(go)});function bo(_o){_o.length!==0&&lo(Eo=>{const So=new Map(Eo);let To=!1;for(const wo of _o){const Co=measureColumnWidth(no,wo);To||(To=Co!==Eo.get(wo)),Co===void 0?So.delete(wo):So.set(wo,Co)}return To?So:Eo})}function xo(_o,Eo){const{key:So}=_o,To=[...ro],wo=[];for(const{key:Oo,idx:Ao,width:Ro}of to)if(So===Oo){const No=typeof Eo=="number"?`${Eo}px`:Eo;To[Ao]=No}else fo&&typeof 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bo=vo[0].contentBoxSize[0];reactDomExports.flushSync(()=>{ro(bo.inlineSize),oo(bo.blockSize)})});return go.observe(eo.current),()=>{go.disconnect()}},[]),[eo,to,no]}function useLatestFunc(eo){const to=reactExports.useRef(eo);reactExports.useEffect(()=>{to.current=eo});const ro=reactExports.useCallback((...no)=>{to.current(...no)},[]);return eo&&ro}function useRovingTabIndex(eo){const[to,ro]=reactExports.useState(!1);to&&!eo&&ro(!1);function no(io){io.target!==io.currentTarget&&ro(!0)}return{tabIndex:eo&&!to?0:-1,childTabIndex:eo?0:-1,onFocus:eo?no:void 0}}function useViewportColumns({columns:eo,colSpanColumns:to,rows:ro,topSummaryRows:no,bottomSummaryRows:oo,colOverscanStartIdx:io,colOverscanEndIdx:so,lastFrozenColumnIndex:ao,rowOverscanStartIdx:lo,rowOverscanEndIdx:uo}){const co=reactExports.useMemo(()=>{if(io===0)return 0;let fo=io;const ho=(po,go)=>go!==void 0&&po+go>io?(fo=po,!0):!1;for(const po of to){const go=po.idx;if(go>=fo||ho(go,getColSpan(po,ao,{type:"HEADER"})))break;for(let vo=lo;vo<=uo;vo++){const bo=ro[vo];if(ho(go,getColSpan(po,ao,{type:"ROW",row:bo})))break}if(no!=null){for(const vo of no)if(ho(go,getColSpan(po,ao,{type:"SUMMARY",row:vo})))break}if(oo!=null){for(const vo of oo)if(ho(go,getColSpan(po,ao,{type:"SUMMARY",row:vo})))break}}return fo},[lo,uo,ro,no,oo,io,ao,to]);return reactExports.useMemo(()=>{const fo=[];for(let ho=0;ho<=so;ho++){const po=eo[ho];ho<co&&!po.frozen||fo.push(po)}return fo},[co,so,eo])}function useViewportRows({rows:eo,rowHeight:to,clientHeight:ro,scrollTop:no,enableVirtualization:oo}){const{totalRowHeight:io,gridTemplateRows:so,getRowTop:ao,getRowHeight:lo,findRowIdx:uo}=reactExports.useMemo(()=>{if(typeof to=="number")return{totalRowHeight:to*eo.length,gridTemplateRows:` repeat(${eo.length}, ${to}px)`,getRowTop:bo=>bo*to,getRowHeight:()=>to,findRowIdx:bo=>floor(bo/to)};let ho=0,po=" ";const go=eo.map(bo=>{const xo=to(bo),_o={top:ho,height:xo};return po+=`${xo}px `,ho+=xo,_o}),vo=bo=>max(0,min(eo.length-1,bo));return{totalRowHeight:ho,gridTemplateRows:po,getRowTop:bo=>go[vo(bo)].top,getRowHeight:bo=>go[vo(bo)].height,findRowIdx(bo){let xo=0,_o=go.length-1;for(;xo<=_o;){const Eo=xo+floor((_o-xo)/2),So=go[Eo].top;if(So===bo)return Eo;if(So<bo?xo=Eo+1:So>bo&&(_o=Eo-1),xo>_o)return _o}return 0}}},[to,eo]);let co=0,fo=eo.length-1;if(oo){const po=uo(no),go=uo(no+ro);co=max(0,po-4),fo=min(eo.length-1,go+4)}return{rowOverscanStartIdx:co,rowOverscanEndIdx:fo,totalRowHeight:io,gridTemplateRows:so,getRowTop:ao,getRowHeight:lo,findRowIdx:uo}}const cellDragHandle="cadd3bp7-0-0-beta-39",cellDragHandleFrozenClassname="ccmuez27-0-0-beta-39",cellDragHandleClassname=`rdg-cell-drag-handle ${cellDragHandle}`;function DragHandle({gridRowStart:eo,rows:to,columns:ro,selectedPosition:no,latestDraggedOverRowIdx:oo,isCellEditable:io,onRowsChange:so,onFill:ao,onClick:lo,setDragging:uo,setDraggedOverRowIdx:co}){var So;const{idx:fo,rowIdx:ho}=no,po=ro[fo];function go(To){if(To.preventDefault(),To.buttons!==1)return;uo(!0),window.addEventListener("mouseover",wo),window.addEventListener("mouseup",Co);function wo(Oo){Oo.buttons!==1&&Co()}function Co(){window.removeEventListener("mouseover",wo),window.removeEventListener("mouseup",Co),uo(!1),vo()}}function vo(){const To=oo.current;if(To===void 0)return;const wo=ho<To?ho+1:To,Co=ho<To?To+1:ho;xo(wo,Co),co(void 0)}function bo(To){To.stopPropagation(),xo(ho+1,to.length)}function xo(To,wo){const Co=ro[fo],Oo=to[ho],Ao=[...to],Ro=[];for(let No=To;No<wo;No++)if(io({rowIdx:No,idx:fo})){const Mo=ao({columnKey:Co.key,sourceRow:Oo,targetRow:to[No]});Mo!==to[No]&&(Ao[No]=Mo,Ro.push(No))}Ro.length>0&&(so==null||so(Ao,{indexes:Ro,column:Co}))}const _o=((So=po.colSpan)==null?void 0:So.call(po,{type:"ROW",row:to[ho]}))??1,Eo=getCellStyle(po,_o);return jsxRuntimeExports.jsx("div",{style:{...Eo,gridRowStart:eo,insetInlineStart:Eo.insetInlineStart&&typeof po.width=="number"?`calc(${Eo.insetInlineStart} + ${po.width}px - var(--rdg-drag-handle-size))`:void 0},className:clsx(cellDragHandleClassname,po.frozen&&cellDragHandleFrozenClassname),onClick:lo,onMouseDown:go,onDoubleClick:bo})}const cellEditing="c1tngyp17-0-0-beta-39";function EditCell({column:eo,colSpan:to,row:ro,rowIdx:no,onRowChange:oo,closeEditor:io,onKeyDown:so,navigate:ao}){var xo,_o,Eo;const lo=reactExports.useRef(),uo=((xo=eo.editorOptions)==null?void 0:xo.commitOnOutsideClick)!==!1,co=useLatestFunc(()=>{po(!0,!1)});reactExports.useEffect(()=>{if(!uo)return;function So(){lo.current=requestAnimationFrame(co)}return addEventListener("mousedown",So,{capture:!0}),()=>{removeEventListener("mousedown",So,{capture:!0}),fo()}},[uo,co]);function fo(){cancelAnimationFrame(lo.current)}function ho(So){if(so){const To=createCellEvent(So);if(so({mode:"EDIT",row:ro,column:eo,rowIdx:no,navigate(){ao(So)},onClose:po},To),To.isGridDefaultPrevented())return}So.key==="Escape"?po():So.key==="Enter"?po(!0):onEditorNavigation(So)&&ao(So)}function po(So=!1,To=!0){So?oo(ro,!0,To):io(To)}function go(So,To=!1){oo(So,To,To)}const{cellClass:vo}=eo,bo=getCellClassname(eo,"rdg-editor-container",typeof vo=="function"?vo(ro):vo,!((_o=eo.editorOptions)!=null&&_o.displayCellContent)&&cellEditing);return jsxRuntimeExports.jsx("div",{role:"gridcell","aria-colindex":eo.idx+1,"aria-colspan":to,"aria-selected":!0,className:bo,style:getCellStyle(eo,to),onKeyDown:ho,onMouseDownCapture:fo,children:eo.renderEditCell!=null&&jsxRuntimeExports.jsxs(jsxRuntimeExports.Fragment,{children:[eo.renderEditCell({column:eo,row:ro,onRowChange:go,onClose:po}),((Eo=eo.editorOptions)==null?void 0:Eo.displayCellContent)&&eo.renderCell({column:eo,row:ro,isCellEditable:!0,tabIndex:-1,onRowChange:go})]})})}function GroupedColumnHeaderCell({column:eo,rowIdx:to,isCellSelected:ro,selectCell:no}){const{tabIndex:oo,onFocus:io}=useRovingTabIndex(ro),{colSpan:so}=eo,ao=getHeaderCellRowSpan(eo,to),lo=eo.idx+1;function uo(){no({idx:eo.idx,rowIdx:to})}return jsxRuntimeExports.jsx("div",{role:"columnheader","aria-colindex":lo,"aria-colspan":so,"aria-rowspan":ao,"aria-selected":ro,tabIndex:oo,className:clsx(cellClassname,eo.headerCellClass),style:{...getHeaderCellStyle(eo,to,ao),gridColumnStart:lo,gridColumnEnd:lo+so},onFocus:io,onClick:uo,children:eo.name})}const headerSortCellClassname="hizp7y17-0-0-beta-39",headerSortName="h14cojrm7-0-0-beta-39",headerSortNameClassname=`rdg-header-sort-name ${headerSortName}`;function renderHeaderCell({column:eo,sortDirection:to,priority:ro}){return eo.sortable?jsxRuntimeExports.jsx(SortableHeaderCell,{sortDirection:to,priority:ro,children:eo.name}):eo.name}function SortableHeaderCell({sortDirection:eo,priority:to,children:ro}){const no=useDefaultRenderers().renderSortStatus;return jsxRuntimeExports.jsxs("span",{className:headerSortCellClassname,children:[jsxRuntimeExports.jsx("span",{className:headerSortNameClassname,children:ro}),jsxRuntimeExports.jsx("span",{children:no({sortDirection:eo,priority:to})})]})}const cellSortableClassname="celq7o97-0-0-beta-39",cellResizable="ceqw94e7-0-0-beta-39",cellResizableClassname=`rdg-cell-resizable ${cellResizable}`,resizeHandleClassname="r12jy2ca7-0-0-beta-39",cellDragging="c1j3os1p7-0-0-beta-39",cellDraggingClassname=`rdg-cell-dragging ${cellDragging}`,cellOver="c1ui3nad7-0-0-beta-39",cellOverClassname=`rdg-cell-drag-over ${cellOver}`;function HeaderCell({column:eo,colSpan:to,rowIdx:ro,isCellSelected:no,onColumnResize:oo,onColumnsReorder:io,sortColumns:so,onSortColumnsChange:ao,selectCell:lo,shouldFocusGrid:uo,direction:co}){const[fo,ho]=reactExports.useState(!1),[po,go]=reactExports.useState(!1),vo=co==="rtl",bo=getHeaderCellRowSpan(eo,ro),{tabIndex:xo,childTabIndex:_o,onFocus:Eo}=useRovingTabIndex(no),So=so==null?void 0:so.findIndex(ws=>ws.columnKey===eo.key),To=So!==void 0&&So>-1?so[So]:void 0,wo=To==null?void 0:To.direction,Co=To!==void 0&&so.length>1?So+1:void 0,Oo=wo&&!Co?wo==="ASC"?"ascending":"descending":void 0,{sortable:Ao,resizable:Ro,draggable:No}=eo,Mo=getCellClassname(eo,eo.headerCellClass,Ao&&cellSortableClassname,Ro&&cellResizableClassname,fo&&cellDraggingClassname,po&&cellOverClassname),Do=eo.renderHeaderCell??renderHeaderCell;function jo(ws){if(ws.pointerType==="mouse"&&ws.buttons!==1)return;const{currentTarget:Ds,pointerId:Jo}=ws,Cs=Ds.parentElement,{right:Bs,left:zs}=Cs.getBoundingClientRect(),Ls=vo?ws.clientX-zs:Bs-ws.clientX;function ga(Xs){Xs.preventDefault();const{right:$a,left:Ll}=Cs.getBoundingClientRect(),Kl=vo?$a+Ls-Xs.clientX:Xs.clientX+Ls-Ll;Kl>0&&oo(eo,clampColumnWidth(Kl,eo))}function Js(){Ds.removeEventListener("pointermove",ga),Ds.removeEventListener("lostpointercapture",Js)}Ds.setPointerCapture(Jo),Ds.addEventListener("pointermove",ga),Ds.addEventListener("lostpointercapture",Js)}function Fo(ws){if(ao==null)return;const{sortDescendingFirst:Ds}=eo;if(To===void 0){const Jo={columnKey:eo.key,direction:Ds?"DESC":"ASC"};ao(so&&ws?[...so,Jo]:[Jo])}else{let Jo;if((Ds===!0&&wo==="DESC"||Ds!==!0&&wo==="ASC")&&(Jo={columnKey:eo.key,direction:wo==="ASC"?"DESC":"ASC"}),ws){const Cs=[...so];Jo?Cs[So]=Jo:Cs.splice(So,1),ao(Cs)}else ao(Jo?[Jo]:[])}}function 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HeaderRow({rowIdx:eo,columns:to,onColumnResize:ro,onColumnsReorder:no,sortColumns:oo,onSortColumnsChange:io,lastFrozenColumnIndex:so,selectedCellIdx:ao,selectCell:lo,shouldFocusGrid:uo,direction:co}){const fo=[];for(let ho=0;ho<to.length;ho++){const po=to[ho],go=getColSpan(po,so,{type:"HEADER"});go!==void 0&&(ho+=go-1),fo.push(jsxRuntimeExports.jsx(HeaderCell,{column:po,colSpan:go,rowIdx:eo,isCellSelected:ao===po.idx,onColumnResize:ro,onColumnsReorder:no,onSortColumnsChange:io,sortColumns:oo,selectCell:lo,shouldFocusGrid:uo&&ho===0,direction:co},po.key))}return jsxRuntimeExports.jsx("div",{role:"row","aria-rowindex":eo,className:clsx(headerRowClassname,ao===-1&&rowSelectedClassname),children:fo})}const HeaderRow$1=reactExports.memo(HeaderRow);function GroupedColumnHeaderRow({rowIdx:eo,level:to,columns:ro,selectedCellIdx:no,selectCell:oo}){const io=[],so=new Set;for(const ao of ro){let{parent:lo}=ao;if(lo!==void 0){for(;lo.level>to&&lo.parent!==void 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Eo(Oo){fo({rowIdx:so,idx:eo.idx},Oo)}function So(Oo){if(ao){const Ao=createCellEvent(Oo);if(ao({row:io,column:eo,selectCell:Eo},Ao),Ao.isGridDefaultPrevented())return}Eo()}function To(Oo){if(uo){const Ao=createCellEvent(Oo);if(uo({row:io,column:eo,selectCell:Eo},Ao),Ao.isGridDefaultPrevented())return}Eo()}function wo(Oo){if(lo){const Ao=createCellEvent(Oo);if(lo({row:io,column:eo,selectCell:Eo},Ao),Ao.isGridDefaultPrevented())return}Eo(!0)}function Co(Oo){co(eo,Oo)}return jsxRuntimeExports.jsx("div",{role:"gridcell","aria-colindex":eo.idx+1,"aria-colspan":to,"aria-selected":ro,"aria-readonly":!_o||void 0,tabIndex:po,className:xo,style:getCellStyle(eo,to),onClick:So,onDoubleClick:wo,onContextMenu:To,onFocus:vo,...ho,children:eo.renderCell({column:eo,row:io,isCellEditable:_o,tabIndex:go,onRowChange:Co})})}const Cell$1=reactExports.memo(Cell);function Row({className:eo,rowIdx:to,gridRowStart:ro,height:no,selectedCellIdx:oo,isRowSelected:io,copiedCellIdx:so,draggedOverCellIdx:ao,lastFrozenColumnIndex:lo,row:uo,viewportColumns:co,selectedCellEditor:fo,onCellClick:ho,onCellDoubleClick:po,onCellContextMenu:go,rowClass:vo,setDraggedOverRowIdx:bo,onMouseEnter:xo,onRowChange:_o,selectCell:Eo,...So},To){const wo=useLatestFunc((Ao,Ro)=>{_o(Ao,to,Ro)});function Co(Ao){bo==null||bo(to),xo==null||xo(Ao)}eo=clsx(rowClassname,`rdg-row-${to%2===0?"even":"odd"}`,vo==null?void 0:vo(uo,to),eo,oo===-1&&rowSelectedClassname);const Oo=[];for(let Ao=0;Ao<co.length;Ao++){const Ro=co[Ao],{idx:No}=Ro,Mo=getColSpan(Ro,lo,{type:"ROW",row:uo});Mo!==void 0&&(Ao+=Mo-1);const Do=oo===No;Do&&fo?Oo.push(fo):Oo.push(jsxRuntimeExports.jsx(Cell$1,{column:Ro,colSpan:Mo,row:uo,rowIdx:to,isCopied:so===No,isDraggedOver:ao===No,isCellSelected:Do,onClick:ho,onDoubleClick:po,onContextMenu:go,onRowChange:wo,selectCell:Eo},Ro.key))}return jsxRuntimeExports.jsx(RowSelectionProvider,{value:io,children:jsxRuntimeExports.jsx("div",{role:"row",ref:To,className:eo,onMouseEnter:Co,style:getRowStyle(ro,no),...So,children:Oo})})}const RowComponent=reactExports.memo(reactExports.forwardRef(Row));function defaultRenderRow(eo,to){return jsxRuntimeExports.jsx(RowComponent,{...to},eo)}function ScrollToCell({scrollToPosition:{idx:eo,rowIdx:to},gridElement:ro,setScrollToCellPosition:no}){const oo=reactExports.useRef(null);return useLayoutEffect(()=>{scrollIntoView$2(oo.current)}),useLayoutEffect(()=>{function io(){no(null)}const so=new IntersectionObserver(io,{root:ro,threshold:1});return so.observe(oo.current),()=>{so.disconnect()}},[ro,no]),jsxRuntimeExports.jsx("div",{ref:oo,style:{gridColumn:eo===void 0?"1/-1":eo+1,gridRow:to===void 0?"1/-1":to+2}})}const arrow="a1mygwml7-0-0-beta-39",arrowClassname=`rdg-sort-arrow ${arrow}`;function renderSortStatus({sortDirection:eo,priority:to}){return 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FAST=$global.FAST;if(FAST.getById===void 0){const eo=Object.create(null);Reflect.defineProperty(FAST,"getById",Object.assign({value(to,ro){let no=eo[to];return no===void 0&&(no=ro?eo[to]=ro():null),no}},propConfig))}const emptyArray=Object.freeze([]);function createMetadataLocator(){const eo=new WeakMap;return function(to){let ro=eo.get(to);if(ro===void 0){let no=Reflect.getPrototypeOf(to);for(;ro===void 0&&no!==null;)ro=eo.get(no),no=Reflect.getPrototypeOf(no);ro=ro===void 0?[]:ro.slice(0),eo.set(to,ro)}return ro}}const updateQueue=$global.FAST.getById(1,()=>{const eo=[],to=[];function ro(){if(to.length)throw to.shift()}function no(so){try{so.call()}catch(ao){to.push(ao),setTimeout(ro,0)}}function oo(){let ao=0;for(;ao<eo.length;)if(no(eo[ao]),ao++,ao>1024){for(let lo=0,uo=eo.length-ao;lo<uo;lo++)eo[lo]=eo[lo+ao];eo.length-=ao,ao=0}eo.length=0}function io(so){eo.length<1&&$global.requestAnimationFrame(oo),eo.push(so)}return Object.freeze({enqueue:io,process:oo})}),fastHTMLPolicy=$global.trustedTypes.createPolicy("fast-html",{createHTML:eo=>eo});let htmlPolicy=fastHTMLPolicy;const marker=`fast-${Math.random().toString(36).substring(2,8)}`,_interpolationStart=`${marker}{`,_interpolationEnd=`}${marker}`,DOM=Object.freeze({supportsAdoptedStyleSheets:Array.isArray(document.adoptedStyleSheets)&&"replace"in CSSStyleSheet.prototype,setHTMLPolicy(eo){if(htmlPolicy!==fastHTMLPolicy)throw new Error("The HTML policy can only be set once.");htmlPolicy=eo},createHTML(eo){return htmlPolicy.createHTML(eo)},isMarker(eo){return eo&&eo.nodeType===8&&eo.data.startsWith(marker)},extractDirectiveIndexFromMarker(eo){return parseInt(eo.data.replace(`${marker}:`,""))},createInterpolationPlaceholder(eo){return`${_interpolationStart}${eo}${_interpolationEnd}`},createCustomAttributePlaceholder(eo,to){return`${eo}="${this.createInterpolationPlaceholder(to)}"`},createBlockPlaceholder(eo){return`<!--${marker}:${eo}-->`},queueUpdate:updateQueue.enqueue,processUpdates:updateQueue.process,nextUpdate(){return new Promise(updateQueue.enqueue)},setAttribute(eo,to,ro){ro==null?eo.removeAttribute(to):eo.setAttribute(to,ro)},setBooleanAttribute(eo,to,ro){ro?eo.setAttribute(to,""):eo.removeAttribute(to)},removeChildNodes(eo){for(let to=eo.firstChild;to!==null;to=eo.firstChild)eo.removeChild(to)},createTemplateWalker(eo){return document.createTreeWalker(eo,133,null,!1)}});class SubscriberSet{constructor(to,ro){this.sub1=void 0,this.sub2=void 0,this.spillover=void 0,this.source=to,this.sub1=ro}has(to){return this.spillover===void 0?this.sub1===to||this.sub2===to:this.spillover.indexOf(to)!==-1}subscribe(to){const ro=this.spillover;if(ro===void 0){if(this.has(to))return;if(this.sub1===void 0){this.sub1=to;return}if(this.sub2===void 0){this.sub2=to;return}this.spillover=[this.sub1,this.sub2,to],this.sub1=void 0,this.sub2=void 0}else ro.indexOf(to)===-1&&ro.push(to)}unsubscribe(to){const ro=this.spillover;if(ro===void 0)this.sub1===to?this.sub1=void 0:this.sub2===to&&(this.sub2=void 0);else{const no=ro.indexOf(to);no!==-1&&ro.splice(no,1)}}notify(to){const ro=this.spillover,no=this.source;if(ro===void 0){const oo=this.sub1,io=this.sub2;oo!==void 0&&oo.handleChange(no,to),io!==void 0&&io.handleChange(no,to)}else for(let oo=0,io=ro.length;oo<io;++oo)ro[oo].handleChange(no,to)}}class PropertyChangeNotifier{constructor(to){this.subscribers={},this.sourceSubscribers=null,this.source=to}notify(to){var ro;const no=this.subscribers[to];no!==void 0&&no.notify(to),(ro=this.sourceSubscribers)===null||ro===void 0||ro.notify(to)}subscribe(to,ro){var no;if(ro){let oo=this.subscribers[ro];oo===void 0&&(this.subscribers[ro]=oo=new SubscriberSet(this.source)),oo.subscribe(to)}else this.sourceSubscribers=(no=this.sourceSubscribers)!==null&&no!==void 0?no:new SubscriberSet(this.source),this.sourceSubscribers.subscribe(to)}unsubscribe(to,ro){var no;if(ro){const oo=this.subscribers[ro];oo!==void 0&&oo.unsubscribe(to)}else(no=this.sourceSubscribers)===null||no===void 0||no.unsubscribe(to)}}const Observable$1=FAST.getById(2,()=>{const eo=/(:|&&|\|\||if)/,to=new WeakMap,ro=DOM.queueUpdate;let no,oo=uo=>{throw new Error("Must call enableArrayObservation before observing arrays.")};function io(uo){let co=uo.$fastController||to.get(uo);return co===void 0&&(Array.isArray(uo)?co=oo(uo):to.set(uo,co=new PropertyChangeNotifier(uo))),co}const so=createMetadataLocator();class ao{constructor(co){this.name=co,this.field=`_${co}`,this.callback=`${co}Changed`}getValue(co){return no!==void 0&&no.watch(co,this.name),co[this.field]}setValue(co,fo){const ho=this.field,po=co[ho];if(po!==fo){co[ho]=fo;const go=co[this.callback];typeof go=="function"&&go.call(co,po,fo),io(co).notify(this.name)}}}class lo extends SubscriberSet{constructor(co,fo,ho=!1){super(co,fo),this.binding=co,this.isVolatileBinding=ho,this.needsRefresh=!0,this.needsQueue=!0,this.first=this,this.last=null,this.propertySource=void 0,this.propertyName=void 0,this.notifier=void 0,this.next=void 0}observe(co,fo){this.needsRefresh&&this.last!==null&&this.disconnect();const ho=no;no=this.needsRefresh?this:void 0,this.needsRefresh=this.isVolatileBinding;const po=this.binding(co,fo);return no=ho,po}disconnect(){if(this.last!==null){let co=this.first;for(;co!==void 0;)co.notifier.unsubscribe(this,co.propertyName),co=co.next;this.last=null,this.needsRefresh=this.needsQueue=!0}}watch(co,fo){const ho=this.last,po=io(co),go=ho===null?this.first:{};if(go.propertySource=co,go.propertyName=fo,go.notifier=po,po.subscribe(this,fo),ho!==null){if(!this.needsRefresh){let vo;no=void 0,vo=ho.propertySource[ho.propertyName],no=this,co===vo&&(this.needsRefresh=!0)}ho.next=go}this.last=go}handleChange(){this.needsQueue&&(this.needsQueue=!1,ro(this))}call(){this.last!==null&&(this.needsQueue=!0,this.notify(this))}records(){let co=this.first;return{next:()=>{const fo=co;return fo===void 0?{value:void 0,done:!0}:(co=co.next,{value:fo,done:!1})},[Symbol.iterator]:function(){return this}}}}return Object.freeze({setArrayObserverFactory(uo){oo=uo},getNotifier:io,track(uo,co){no!==void 0&&no.watch(uo,co)},trackVolatile(){no!==void 0&&(no.needsRefresh=!0)},notify(uo,co){io(uo).notify(co)},defineProperty(uo,co){typeof co=="string"&&(co=new ao(co)),so(uo).push(co),Reflect.defineProperty(uo,co.name,{enumerable:!0,get:function(){return co.getValue(this)},set:function(fo){co.setValue(this,fo)}})},getAccessors:so,binding(uo,co,fo=this.isVolatileBinding(uo)){return new lo(uo,co,fo)},isVolatileBinding(uo){return eo.test(uo.toString())}})});function observable(eo,to){Observable$1.defineProperty(eo,to)}function volatile(eo,to,ro){return Object.assign({},ro,{get:function(){return Observable$1.trackVolatile(),ro.get.apply(this)}})}const contextEvent=FAST.getById(3,()=>{let eo=null;return{get(){return eo},set(to){eo=to}}});class ExecutionContext{constructor(){this.index=0,this.length=0,this.parent=null,this.parentContext=null}get event(){return contextEvent.get()}get isEven(){return this.index%2===0}get isOdd(){return this.index%2!==0}get isFirst(){return this.index===0}get isInMiddle(){return!this.isFirst&&!this.isLast}get isLast(){return this.index===this.length-1}static setEvent(to){contextEvent.set(to)}}Observable$1.defineProperty(ExecutionContext.prototype,"index");Observable$1.defineProperty(ExecutionContext.prototype,"length");const defaultExecutionContext=Object.seal(new ExecutionContext);class HTMLDirective{constructor(){this.targetIndex=0}}class TargetedHTMLDirective extends HTMLDirective{constructor(){super(...arguments),this.createPlaceholder=DOM.createInterpolationPlaceholder}}class AttachedBehaviorHTMLDirective extends HTMLDirective{constructor(to,ro,no){super(),this.name=to,this.behavior=ro,this.options=no}createPlaceholder(to){return DOM.createCustomAttributePlaceholder(this.name,to)}createBehavior(to){return new this.behavior(to,this.options)}}function normalBind(eo,to){this.source=eo,this.context=to,this.bindingObserver===null&&(this.bindingObserver=Observable$1.binding(this.binding,this,this.isBindingVolatile)),this.updateTarget(this.bindingObserver.observe(eo,to))}function triggerBind(eo,to){this.source=eo,this.context=to,this.target.addEventListener(this.targetName,this)}function normalUnbind(){this.bindingObserver.disconnect(),this.source=null,this.context=null}function contentUnbind(){this.bindingObserver.disconnect(),this.source=null,this.context=null;const eo=this.target.$fastView;eo!==void 0&&eo.isComposed&&(eo.unbind(),eo.needsBindOnly=!0)}function triggerUnbind(){this.target.removeEventListener(this.targetName,this),this.source=null,this.context=null}function updateAttributeTarget(eo){DOM.setAttribute(this.target,this.targetName,eo)}function updateBooleanAttributeTarget(eo){DOM.setBooleanAttribute(this.target,this.targetName,eo)}function updateContentTarget(eo){if(eo==null&&(eo=""),eo.create){this.target.textContent="";let to=this.target.$fastView;to===void 0?to=eo.create():this.target.$fastTemplate!==eo&&(to.isComposed&&(to.remove(),to.unbind()),to=eo.create()),to.isComposed?to.needsBindOnly&&(to.needsBindOnly=!1,to.bind(this.source,this.context)):(to.isComposed=!0,to.bind(this.source,this.context),to.insertBefore(this.target),this.target.$fastView=to,this.target.$fastTemplate=eo)}else{const to=this.target.$fastView;to!==void 0&&to.isComposed&&(to.isComposed=!1,to.remove(),to.needsBindOnly?to.needsBindOnly=!1:to.unbind()),this.target.textContent=eo}}function updatePropertyTarget(eo){this.target[this.targetName]=eo}function updateClassTarget(eo){const to=this.classVersions||Object.create(null),ro=this.target;let no=this.version||0;if(eo!=null&&eo.length){const oo=eo.split(/\s+/);for(let io=0,so=oo.length;io<so;++io){const ao=oo[io];ao!==""&&(to[ao]=no,ro.classList.add(ao))}}if(this.classVersions=to,this.version=no+1,no!==0){no-=1;for(const oo in to)to[oo]===no&&ro.classList.remove(oo)}}class HTMLBindingDirective extends TargetedHTMLDirective{constructor(to){super(),this.binding=to,this.bind=normalBind,this.unbind=normalUnbind,this.updateTarget=updateAttributeTarget,this.isBindingVolatile=Observable$1.isVolatileBinding(this.binding)}get targetName(){return this.originalTargetName}set targetName(to){if(this.originalTargetName=to,to!==void 0)switch(to[0]){case":":if(this.cleanedTargetName=to.substr(1),this.updateTarget=updatePropertyTarget,this.cleanedTargetName==="innerHTML"){const ro=this.binding;this.binding=(no,oo)=>DOM.createHTML(ro(no,oo))}break;case"?":this.cleanedTargetName=to.substr(1),this.updateTarget=updateBooleanAttributeTarget;break;case"@":this.cleanedTargetName=to.substr(1),this.bind=triggerBind,this.unbind=triggerUnbind;break;default:this.cleanedTargetName=to,to==="class"&&(this.updateTarget=updateClassTarget);break}}targetAtContent(){this.updateTarget=updateContentTarget,this.unbind=contentUnbind}createBehavior(to){return new BindingBehavior(to,this.binding,this.isBindingVolatile,this.bind,this.unbind,this.updateTarget,this.cleanedTargetName)}}class BindingBehavior{constructor(to,ro,no,oo,io,so,ao){this.source=null,this.context=null,this.bindingObserver=null,this.target=to,this.binding=ro,this.isBindingVolatile=no,this.bind=oo,this.unbind=io,this.updateTarget=so,this.targetName=ao}handleChange(){this.updateTarget(this.bindingObserver.observe(this.source,this.context))}handleEvent(to){ExecutionContext.setEvent(to);const ro=this.binding(this.source,this.context);ExecutionContext.setEvent(null),ro!==!0&&to.preventDefault()}}let sharedContext=null;class CompilationContext{addFactory(to){to.targetIndex=this.targetIndex,this.behaviorFactories.push(to)}captureContentBinding(to){to.targetAtContent(),this.addFactory(to)}reset(){this.behaviorFactories=[],this.targetIndex=-1}release(){sharedContext=this}static borrow(to){const ro=sharedContext||new CompilationContext;return ro.directives=to,ro.reset(),sharedContext=null,ro}}function createAggregateBinding(eo){if(eo.length===1)return eo[0];let to;const ro=eo.length,no=eo.map(so=>typeof so=="string"?()=>so:(to=so.targetName||to,so.binding)),oo=(so,ao)=>{let lo="";for(let uo=0;uo<ro;++uo)lo+=no[uo](so,ao);return lo},io=new HTMLBindingDirective(oo);return io.targetName=to,io}const interpolationEndLength=_interpolationEnd.length;function parseContent(eo,to){const ro=to.split(_interpolationStart);if(ro.length===1)return null;const no=[];for(let oo=0,io=ro.length;oo<io;++oo){const so=ro[oo],ao=so.indexOf(_interpolationEnd);let lo;if(ao===-1)lo=so;else{const uo=parseInt(so.substring(0,ao));no.push(eo.directives[uo]),lo=so.substring(ao+interpolationEndLength)}lo!==""&&no.push(lo)}return no}function compileAttributes(eo,to,ro=!1){const no=to.attributes;for(let oo=0,io=no.length;oo<io;++oo){const so=no[oo],ao=so.value,lo=parseContent(eo,ao);let uo=null;lo===null?ro&&(uo=new HTMLBindingDirective(()=>ao),uo.targetName=so.name):uo=createAggregateBinding(lo),uo!==null&&(to.removeAttributeNode(so),oo--,io--,eo.addFactory(uo))}}function compileContent(eo,to,ro){const no=parseContent(eo,to.textContent);if(no!==null){let oo=to;for(let io=0,so=no.length;io<so;++io){const ao=no[io],lo=io===0?to:oo.parentNode.insertBefore(document.createTextNode(""),oo.nextSibling);typeof ao=="string"?lo.textContent=ao:(lo.textContent=" ",eo.captureContentBinding(ao)),oo=lo,eo.targetIndex++,lo!==to&&ro.nextNode()}eo.targetIndex--}}function compileTemplate(eo,to){const ro=eo.content;document.adoptNode(ro);const no=CompilationContext.borrow(to);compileAttributes(no,eo,!0);const oo=no.behaviorFactories;no.reset();const io=DOM.createTemplateWalker(ro);let so;for(;so=io.nextNode();)switch(no.targetIndex++,so.nodeType){case 1:compileAttributes(no,so);break;case 3:compileContent(no,so,io);break;case 8:DOM.isMarker(so)&&no.addFactory(to[DOM.extractDirectiveIndexFromMarker(so)])}let ao=0;(DOM.isMarker(ro.firstChild)||ro.childNodes.length===1&&to.length)&&(ro.insertBefore(document.createComment(""),ro.firstChild),ao=-1);const lo=no.behaviorFactories;return no.release(),{fragment:ro,viewBehaviorFactories:lo,hostBehaviorFactories:oo,targetOffset:ao}}const range=document.createRange();class HTMLView{constructor(to,ro){this.fragment=to,this.behaviors=ro,this.source=null,this.context=null,this.firstChild=to.firstChild,this.lastChild=to.lastChild}appendTo(to){to.appendChild(this.fragment)}insertBefore(to){if(this.fragment.hasChildNodes())to.parentNode.insertBefore(this.fragment,to);else{const ro=this.lastChild;if(to.previousSibling===ro)return;const no=to.parentNode;let oo=this.firstChild,io;for(;oo!==ro;)io=oo.nextSibling,no.insertBefore(oo,to),oo=io;no.insertBefore(ro,to)}}remove(){const to=this.fragment,ro=this.lastChild;let no=this.firstChild,oo;for(;no!==ro;)oo=no.nextSibling,to.appendChild(no),no=oo;to.appendChild(ro)}dispose(){const to=this.firstChild.parentNode,ro=this.lastChild;let no=this.firstChild,oo;for(;no!==ro;)oo=no.nextSibling,to.removeChild(no),no=oo;to.removeChild(ro);const io=this.behaviors,so=this.source;for(let ao=0,lo=io.length;ao<lo;++ao)io[ao].unbind(so)}bind(to,ro){const no=this.behaviors;if(this.source!==to)if(this.source!==null){const oo=this.source;this.source=to,this.context=ro;for(let io=0,so=no.length;io<so;++io){const ao=no[io];ao.unbind(oo),ao.bind(to,ro)}}else{this.source=to,this.context=ro;for(let oo=0,io=no.length;oo<io;++oo)no[oo].bind(to,ro)}}unbind(){if(this.source===null)return;const to=this.behaviors,ro=this.source;for(let no=0,oo=to.length;no<oo;++no)to[no].unbind(ro);this.source=null}static disposeContiguousBatch(to){if(to.length!==0){range.setStartBefore(to[0].firstChild),range.setEndAfter(to[to.length-1].lastChild),range.deleteContents();for(let ro=0,no=to.length;ro<no;++ro){const oo=to[ro],io=oo.behaviors,so=oo.source;for(let ao=0,lo=io.length;ao<lo;++ao)io[ao].unbind(so)}}}}class ViewTemplate{constructor(to,ro){this.behaviorCount=0,this.hasHostBehaviors=!1,this.fragment=null,this.targetOffset=0,this.viewBehaviorFactories=null,this.hostBehaviorFactories=null,this.html=to,this.directives=ro}create(to){if(this.fragment===null){let uo;const co=this.html;if(typeof co=="string"){uo=document.createElement("template"),uo.innerHTML=DOM.createHTML(co);const ho=uo.content.firstElementChild;ho!==null&&ho.tagName==="TEMPLATE"&&(uo=ho)}else uo=co;const fo=compileTemplate(uo,this.directives);this.fragment=fo.fragment,this.viewBehaviorFactories=fo.viewBehaviorFactories,this.hostBehaviorFactories=fo.hostBehaviorFactories,this.targetOffset=fo.targetOffset,this.behaviorCount=this.viewBehaviorFactories.length+this.hostBehaviorFactories.length,this.hasHostBehaviors=this.hostBehaviorFactories.length>0}const ro=this.fragment.cloneNode(!0),no=this.viewBehaviorFactories,oo=new Array(this.behaviorCount),io=DOM.createTemplateWalker(ro);let so=0,ao=this.targetOffset,lo=io.nextNode();for(let uo=no.length;so<uo;++so){const co=no[so],fo=co.targetIndex;for(;lo!==null;)if(ao===fo){oo[so]=co.createBehavior(lo);break}else lo=io.nextNode(),ao++}if(this.hasHostBehaviors){const uo=this.hostBehaviorFactories;for(let co=0,fo=uo.length;co<fo;++co,++so)oo[so]=uo[co].createBehavior(to)}return new HTMLView(ro,oo)}render(to,ro,no){typeof ro=="string"&&(ro=document.getElementById(ro)),no===void 0&&(no=ro);const oo=this.create(no);return oo.bind(to,defaultExecutionContext),oo.appendTo(ro),oo}}const lastAttributeNameRegex=/([ \x09\x0a\x0c\x0d])([^\0-\x1F\x7F-\x9F "'>=/]+)([ \x09\x0a\x0c\x0d]*=[ \x09\x0a\x0c\x0d]*(?:[^ \x09\x0a\x0c\x0d"'`<>=]*|"[^"]*|'[^']*))$/;function html(eo,...to){const ro=[];let no="";for(let oo=0,io=eo.length-1;oo<io;++oo){const so=eo[oo];let ao=to[oo];if(no+=so,ao instanceof ViewTemplate){const lo=ao;ao=()=>lo}if(typeof ao=="function"&&(ao=new HTMLBindingDirective(ao)),ao instanceof TargetedHTMLDirective){const lo=lastAttributeNameRegex.exec(so);lo!==null&&(ao.targetName=lo[2])}ao instanceof HTMLDirective?(no+=ao.createPlaceholder(ro.length),ro.push(ao)):no+=ao}return no+=eo[eo.length-1],new ViewTemplate(no,ro)}class ElementStyles{constructor(){this.targets=new WeakSet}addStylesTo(to){this.targets.add(to)}removeStylesFrom(to){this.targets.delete(to)}isAttachedTo(to){return this.targets.has(to)}withBehaviors(...to){return this.behaviors=this.behaviors===null?to:this.behaviors.concat(to),this}}ElementStyles.create=(()=>{if(DOM.supportsAdoptedStyleSheets){const eo=new Map;return to=>new AdoptedStyleSheetsStyles(to,eo)}return eo=>new StyleElementStyles(eo)})();function reduceStyles(eo){return eo.map(to=>to instanceof ElementStyles?reduceStyles(to.styles):[to]).reduce((to,ro)=>to.concat(ro),[])}function reduceBehaviors(eo){return eo.map(to=>to instanceof ElementStyles?to.behaviors:null).reduce((to,ro)=>ro===null?to:(to===null&&(to=[]),to.concat(ro)),null)}let addAdoptedStyleSheets=(eo,to)=>{eo.adoptedStyleSheets=[...eo.adoptedStyleSheets,...to]},removeAdoptedStyleSheets=(eo,to)=>{eo.adoptedStyleSheets=eo.adoptedStyleSheets.filter(ro=>to.indexOf(ro)===-1)};if(DOM.supportsAdoptedStyleSheets)try{document.adoptedStyleSheets.push(),document.adoptedStyleSheets.splice(),addAdoptedStyleSheets=(eo,to)=>{eo.adoptedStyleSheets.push(...to)},removeAdoptedStyleSheets=(eo,to)=>{for(const ro of to){const no=eo.adoptedStyleSheets.indexOf(ro);no!==-1&&eo.adoptedStyleSheets.splice(no,1)}}}catch{}class AdoptedStyleSheetsStyles extends ElementStyles{constructor(to,ro){super(),this.styles=to,this.styleSheetCache=ro,this._styleSheets=void 0,this.behaviors=reduceBehaviors(to)}get styleSheets(){if(this._styleSheets===void 0){const to=this.styles,ro=this.styleSheetCache;this._styleSheets=reduceStyles(to).map(no=>{if(no instanceof CSSStyleSheet)return no;let oo=ro.get(no);return oo===void 0&&(oo=new CSSStyleSheet,oo.replaceSync(no),ro.set(no,oo)),oo})}return this._styleSheets}addStylesTo(to){addAdoptedStyleSheets(to,this.styleSheets),super.addStylesTo(to)}removeStylesFrom(to){removeAdoptedStyleSheets(to,this.styleSheets),super.removeStylesFrom(to)}}let styleClassId=0;function getNextStyleClass(){return`fast-style-class-${++styleClassId}`}class StyleElementStyles extends ElementStyles{constructor(to){super(),this.styles=to,this.behaviors=null,this.behaviors=reduceBehaviors(to),this.styleSheets=reduceStyles(to),this.styleClass=getNextStyleClass()}addStylesTo(to){const ro=this.styleSheets,no=this.styleClass;to=this.normalizeTarget(to);for(let oo=0;oo<ro.length;oo++){const io=document.createElement("style");io.innerHTML=ro[oo],io.className=no,to.append(io)}super.addStylesTo(to)}removeStylesFrom(to){to=this.normalizeTarget(to);const ro=to.querySelectorAll(`.${this.styleClass}`);for(let no=0,oo=ro.length;no<oo;++no)to.removeChild(ro[no]);super.removeStylesFrom(to)}isAttachedTo(to){return super.isAttachedTo(this.normalizeTarget(to))}normalizeTarget(to){return to===document?document.body:to}}const AttributeConfiguration=Object.freeze({locate:createMetadataLocator()}),booleanConverter={toView(eo){return eo?"true":"false"},fromView(eo){return!(eo==null||eo==="false"||eo===!1||eo===0)}},nullableNumberConverter={toView(eo){if(eo==null)return null;const to=eo*1;return isNaN(to)?null:to.toString()},fromView(eo){if(eo==null)return null;const to=eo*1;return isNaN(to)?null:to}};class AttributeDefinition{constructor(to,ro,no=ro.toLowerCase(),oo="reflect",io){this.guards=new Set,this.Owner=to,this.name=ro,this.attribute=no,this.mode=oo,this.converter=io,this.fieldName=`_${ro}`,this.callbackName=`${ro}Changed`,this.hasCallback=this.callbackName in to.prototype,oo==="boolean"&&io===void 0&&(this.converter=booleanConverter)}setValue(to,ro){const no=to[this.fieldName],oo=this.converter;oo!==void 0&&(ro=oo.fromView(ro)),no!==ro&&(to[this.fieldName]=ro,this.tryReflectToAttribute(to),this.hasCallback&&to[this.callbackName](no,ro),to.$fastController.notify(this.name))}getValue(to){return Observable$1.track(to,this.name),to[this.fieldName]}onAttributeChangedCallback(to,ro){this.guards.has(to)||(this.guards.add(to),this.setValue(to,ro),this.guards.delete(to))}tryReflectToAttribute(to){const ro=this.mode,no=this.guards;no.has(to)||ro==="fromView"||DOM.queueUpdate(()=>{no.add(to);const oo=to[this.fieldName];switch(ro){case"reflect":const io=this.converter;DOM.setAttribute(to,this.attribute,io!==void 0?io.toView(oo):oo);break;case"boolean":DOM.setBooleanAttribute(to,this.attribute,oo);break}no.delete(to)})}static collect(to,...ro){const no=[];ro.push(AttributeConfiguration.locate(to));for(let oo=0,io=ro.length;oo<io;++oo){const so=ro[oo];if(so!==void 0)for(let ao=0,lo=so.length;ao<lo;++ao){const uo=so[ao];typeof uo=="string"?no.push(new AttributeDefinition(to,uo)):no.push(new AttributeDefinition(to,uo.property,uo.attribute,uo.mode,uo.converter))}}return no}}function attr(eo,to){let ro;function no(oo,io){arguments.length>1&&(ro.property=io),AttributeConfiguration.locate(oo.constructor).push(ro)}if(arguments.length>1){ro={},no(eo,to);return}return ro=eo===void 0?{}:eo,no}const defaultShadowOptions={mode:"open"},defaultElementOptions={},fastRegistry=FAST.getById(4,()=>{const eo=new Map;return Object.freeze({register(to){return eo.has(to.type)?!1:(eo.set(to.type,to),!0)},getByType(to){return eo.get(to)}})});class FASTElementDefinition{constructor(to,ro=to.definition){typeof ro=="string"&&(ro={name:ro}),this.type=to,this.name=ro.name,this.template=ro.template;const no=AttributeDefinition.collect(to,ro.attributes),oo=new Array(no.length),io={},so={};for(let ao=0,lo=no.length;ao<lo;++ao){const uo=no[ao];oo[ao]=uo.attribute,io[uo.name]=uo,so[uo.attribute]=uo}this.attributes=no,this.observedAttributes=oo,this.propertyLookup=io,this.attributeLookup=so,this.shadowOptions=ro.shadowOptions===void 0?defaultShadowOptions:ro.shadowOptions===null?void 0:Object.assign(Object.assign({},defaultShadowOptions),ro.shadowOptions),this.elementOptions=ro.elementOptions===void 0?defaultElementOptions:Object.assign(Object.assign({},defaultElementOptions),ro.elementOptions),this.styles=ro.styles===void 0?void 0:Array.isArray(ro.styles)?ElementStyles.create(ro.styles):ro.styles instanceof ElementStyles?ro.styles:ElementStyles.create([ro.styles])}get isDefined(){return!!fastRegistry.getByType(this.type)}define(to=customElements){const ro=this.type;if(fastRegistry.register(this)){const no=this.attributes,oo=ro.prototype;for(let io=0,so=no.length;io<so;++io)Observable$1.defineProperty(oo,no[io]);Reflect.defineProperty(ro,"observedAttributes",{value:this.observedAttributes,enumerable:!0})}return to.get(this.name)||to.define(this.name,ro,this.elementOptions),this}}FASTElementDefinition.forType=fastRegistry.getByType;const shadowRoots=new WeakMap,defaultEventOptions={bubbles:!0,composed:!0,cancelable:!0};function getShadowRoot(eo){return eo.shadowRoot||shadowRoots.get(eo)||null}class Controller extends PropertyChangeNotifier{constructor(to,ro){super(to),this.boundObservables=null,this.behaviors=null,this.needsInitialization=!0,this._template=null,this._styles=null,this._isConnected=!1,this.$fastController=this,this.view=null,this.element=to,this.definition=ro;const no=ro.shadowOptions;if(no!==void 0){const io=to.attachShadow(no);no.mode==="closed"&&shadowRoots.set(to,io)}const oo=Observable$1.getAccessors(to);if(oo.length>0){const io=this.boundObservables=Object.create(null);for(let so=0,ao=oo.length;so<ao;++so){const lo=oo[so].name,uo=to[lo];uo!==void 0&&(delete to[lo],io[lo]=uo)}}}get isConnected(){return Observable$1.track(this,"isConnected"),this._isConnected}setIsConnected(to){this._isConnected=to,Observable$1.notify(this,"isConnected")}get template(){return this._template}set template(to){this._template!==to&&(this._template=to,this.needsInitialization||this.renderTemplate(to))}get styles(){return this._styles}set styles(to){this._styles!==to&&(this._styles!==null&&this.removeStyles(this._styles),this._styles=to,!this.needsInitialization&&to!==null&&this.addStyles(to))}addStyles(to){const ro=getShadowRoot(this.element)||this.element.getRootNode();if(to instanceof HTMLStyleElement)ro.append(to);else if(!to.isAttachedTo(ro)){const no=to.behaviors;to.addStylesTo(ro),no!==null&&this.addBehaviors(no)}}removeStyles(to){const ro=getShadowRoot(this.element)||this.element.getRootNode();if(to instanceof HTMLStyleElement)ro.removeChild(to);else if(to.isAttachedTo(ro)){const no=to.behaviors;to.removeStylesFrom(ro),no!==null&&this.removeBehaviors(no)}}addBehaviors(to){const ro=this.behaviors||(this.behaviors=new Map),no=to.length,oo=[];for(let io=0;io<no;++io){const so=to[io];ro.has(so)?ro.set(so,ro.get(so)+1):(ro.set(so,1),oo.push(so))}if(this._isConnected){const io=this.element;for(let so=0;so<oo.length;++so)oo[so].bind(io,defaultExecutionContext)}}removeBehaviors(to,ro=!1){const no=this.behaviors;if(no===null)return;const oo=to.length,io=[];for(let so=0;so<oo;++so){const ao=to[so];if(no.has(ao)){const lo=no.get(ao)-1;lo===0||ro?no.delete(ao)&&io.push(ao):no.set(ao,lo)}}if(this._isConnected){const so=this.element;for(let ao=0;ao<io.length;++ao)io[ao].unbind(so)}}onConnectedCallback(){if(this._isConnected)return;const to=this.element;this.needsInitialization?this.finishInitialization():this.view!==null&&this.view.bind(to,defaultExecutionContext);const ro=this.behaviors;if(ro!==null)for(const[no]of ro)no.bind(to,defaultExecutionContext);this.setIsConnected(!0)}onDisconnectedCallback(){if(!this._isConnected)return;this.setIsConnected(!1);const to=this.view;to!==null&&to.unbind();const ro=this.behaviors;if(ro!==null){const no=this.element;for(const[oo]of ro)oo.unbind(no)}}onAttributeChangedCallback(to,ro,no){const oo=this.definition.attributeLookup[to];oo!==void 0&&oo.onAttributeChangedCallback(this.element,no)}emit(to,ro,no){return this._isConnected?this.element.dispatchEvent(new CustomEvent(to,Object.assign(Object.assign({detail:ro},defaultEventOptions),no))):!1}finishInitialization(){const to=this.element,ro=this.boundObservables;if(ro!==null){const oo=Object.keys(ro);for(let io=0,so=oo.length;io<so;++io){const ao=oo[io];to[ao]=ro[ao]}this.boundObservables=null}const no=this.definition;this._template===null&&(this.element.resolveTemplate?this._template=this.element.resolveTemplate():no.template&&(this._template=no.template||null)),this._template!==null&&this.renderTemplate(this._template),this._styles===null&&(this.element.resolveStyles?this._styles=this.element.resolveStyles():no.styles&&(this._styles=no.styles||null)),this._styles!==null&&this.addStyles(this._styles),this.needsInitialization=!1}renderTemplate(to){const ro=this.element,no=getShadowRoot(ro)||ro;this.view!==null?(this.view.dispose(),this.view=null):this.needsInitialization||DOM.removeChildNodes(no),to&&(this.view=to.render(ro,no,ro))}static forCustomElement(to){const ro=to.$fastController;if(ro!==void 0)return ro;const no=FASTElementDefinition.forType(to.constructor);if(no===void 0)throw new Error("Missing FASTElement definition.");return to.$fastController=new Controller(to,no)}}function createFASTElement(eo){return class extends eo{constructor(){super(),Controller.forCustomElement(this)}$emit(to,ro,no){return this.$fastController.emit(to,ro,no)}connectedCallback(){this.$fastController.onConnectedCallback()}disconnectedCallback(){this.$fastController.onDisconnectedCallback()}attributeChangedCallback(to,ro,no){this.$fastController.onAttributeChangedCallback(to,ro,no)}}}const FASTElement=Object.assign(createFASTElement(HTMLElement),{from(eo){return createFASTElement(eo)},define(eo,to){return new FASTElementDefinition(eo,to).define().type}});class CSSDirective{createCSS(){return""}createBehavior(){}}function collectStyles(eo,to){const ro=[];let no="";const oo=[];for(let io=0,so=eo.length-1;io<so;++io){no+=eo[io];let ao=to[io];if(ao instanceof CSSDirective){const lo=ao.createBehavior();ao=ao.createCSS(),lo&&oo.push(lo)}ao instanceof ElementStyles||ao instanceof CSSStyleSheet?(no.trim()!==""&&(ro.push(no),no=""),ro.push(ao)):no+=ao}return no+=eo[eo.length-1],no.trim()!==""&&ro.push(no),{styles:ro,behaviors:oo}}function css$1(eo,...to){const{styles:ro,behaviors:no}=collectStyles(eo,to),oo=ElementStyles.create(ro);return no.length&&oo.withBehaviors(...no),oo}function newSplice(eo,to,ro){return{index:eo,removed:to,addedCount:ro}}const EDIT_LEAVE=0,EDIT_UPDATE=1,EDIT_ADD=2,EDIT_DELETE=3;function calcEditDistances(eo,to,ro,no,oo,io){const so=io-oo+1,ao=ro-to+1,lo=new Array(so);let uo,co;for(let fo=0;fo<so;++fo)lo[fo]=new Array(ao),lo[fo][0]=fo;for(let fo=0;fo<ao;++fo)lo[0][fo]=fo;for(let fo=1;fo<so;++fo)for(let ho=1;ho<ao;++ho)eo[to+ho-1]===no[oo+fo-1]?lo[fo][ho]=lo[fo-1][ho-1]:(uo=lo[fo-1][ho]+1,co=lo[fo][ho-1]+1,lo[fo][ho]=uo<co?uo:co);return lo}function spliceOperationsFromEditDistances(eo){let to=eo.length-1,ro=eo[0].length-1,no=eo[to][ro];const oo=[];for(;to>0||ro>0;){if(to===0){oo.push(EDIT_ADD),ro--;continue}if(ro===0){oo.push(EDIT_DELETE),to--;continue}const io=eo[to-1][ro-1],so=eo[to-1][ro],ao=eo[to][ro-1];let lo;so<ao?lo=so<io?so:io:lo=ao<io?ao:io,lo===io?(io===no?oo.push(EDIT_LEAVE):(oo.push(EDIT_UPDATE),no=io),to--,ro--):lo===so?(oo.push(EDIT_DELETE),to--,no=so):(oo.push(EDIT_ADD),ro--,no=ao)}return oo.reverse(),oo}function sharedPrefix(eo,to,ro){for(let no=0;no<ro;++no)if(eo[no]!==to[no])return no;return ro}function sharedSuffix(eo,to,ro){let no=eo.length,oo=to.length,io=0;for(;io<ro&&eo[--no]===to[--oo];)io++;return io}function intersect(eo,to,ro,no){return to<ro||no<eo?-1:to===ro||no===eo?0:eo<ro?to<no?to-ro:no-ro:no<to?no-eo:to-eo}function calcSplices(eo,to,ro,no,oo,io){let so=0,ao=0;const lo=Math.min(ro-to,io-oo);if(to===0&&oo===0&&(so=sharedPrefix(eo,no,lo)),ro===eo.length&&io===no.length&&(ao=sharedSuffix(eo,no,lo-so)),to+=so,oo+=so,ro-=ao,io-=ao,ro-to===0&&io-oo===0)return emptyArray;if(to===ro){const go=newSplice(to,[],0);for(;oo<io;)go.removed.push(no[oo++]);return[go]}else if(oo===io)return[newSplice(to,[],ro-to)];const uo=spliceOperationsFromEditDistances(calcEditDistances(eo,to,ro,no,oo,io)),co=[];let fo,ho=to,po=oo;for(let go=0;go<uo.length;++go)switch(uo[go]){case EDIT_LEAVE:fo!==void 0&&(co.push(fo),fo=void 0),ho++,po++;break;case EDIT_UPDATE:fo===void 0&&(fo=newSplice(ho,[],0)),fo.addedCount++,ho++,fo.removed.push(no[po]),po++;break;case EDIT_ADD:fo===void 0&&(fo=newSplice(ho,[],0)),fo.addedCount++,ho++;break;case EDIT_DELETE:fo===void 0&&(fo=newSplice(ho,[],0)),fo.removed.push(no[po]),po++;break}return fo!==void 0&&co.push(fo),co}const $push=Array.prototype.push;function mergeSplice(eo,to,ro,no){const oo=newSplice(to,ro,no);let io=!1,so=0;for(let ao=0;ao<eo.length;ao++){const lo=eo[ao];if(lo.index+=so,io)continue;const uo=intersect(oo.index,oo.index+oo.removed.length,lo.index,lo.index+lo.addedCount);if(uo>=0){eo.splice(ao,1),ao--,so-=lo.addedCount-lo.removed.length,oo.addedCount+=lo.addedCount-uo;const co=oo.removed.length+lo.removed.length-uo;if(!oo.addedCount&&!co)io=!0;else{let fo=lo.removed;if(oo.index<lo.index){const ho=oo.removed.slice(0,lo.index-oo.index);$push.apply(ho,fo),fo=ho}if(oo.index+oo.removed.length>lo.index+lo.addedCount){const ho=oo.removed.slice(lo.index+lo.addedCount-oo.index);$push.apply(fo,ho)}oo.removed=fo,lo.index<oo.index&&(oo.index=lo.index)}}else if(oo.index<lo.index){io=!0,eo.splice(ao,0,oo),ao++;const co=oo.addedCount-oo.removed.length;lo.index+=co,so+=co}}io||eo.push(oo)}function createInitialSplices(eo){const to=[];for(let ro=0,no=eo.length;ro<no;ro++){const oo=eo[ro];mergeSplice(to,oo.index,oo.removed,oo.addedCount)}return to}function projectArraySplices(eo,to){let ro=[];const no=createInitialSplices(to);for(let oo=0,io=no.length;oo<io;++oo){const so=no[oo];if(so.addedCount===1&&so.removed.length===1){so.removed[0]!==eo[so.index]&&ro.push(so);continue}ro=ro.concat(calcSplices(eo,so.index,so.index+so.addedCount,so.removed,0,so.removed.length))}return ro}let arrayObservationEnabled=!1;function adjustIndex(eo,to){let ro=eo.index;const no=to.length;return ro>no?ro=no-eo.addedCount:ro<0&&(ro=no+eo.removed.length+ro-eo.addedCount),ro<0&&(ro=0),eo.index=ro,eo}class ArrayObserver extends SubscriberSet{constructor(to){super(to),this.oldCollection=void 0,this.splices=void 0,this.needsQueue=!0,this.call=this.flush,Reflect.defineProperty(to,"$fastController",{value:this,enumerable:!1})}subscribe(to){this.flush(),super.subscribe(to)}addSplice(to){this.splices===void 0?this.splices=[to]:this.splices.push(to),this.needsQueue&&(this.needsQueue=!1,DOM.queueUpdate(this))}reset(to){this.oldCollection=to,this.needsQueue&&(this.needsQueue=!1,DOM.queueUpdate(this))}flush(){const to=this.splices,ro=this.oldCollection;if(to===void 0&&ro===void 0)return;this.needsQueue=!0,this.splices=void 0,this.oldCollection=void 0;const no=ro===void 0?projectArraySplices(this.source,to):calcSplices(this.source,0,this.source.length,ro,0,ro.length);this.notify(no)}}function enableArrayObservation(){if(arrayObservationEnabled)return;arrayObservationEnabled=!0,Observable$1.setArrayObserverFactory(lo=>new ArrayObserver(lo));const eo=Array.prototype;if(eo.$fastPatch)return;Reflect.defineProperty(eo,"$fastPatch",{value:1,enumerable:!1});const to=eo.pop,ro=eo.push,no=eo.reverse,oo=eo.shift,io=eo.sort,so=eo.splice,ao=eo.unshift;eo.pop=function(){const lo=this.length>0,uo=to.apply(this,arguments),co=this.$fastController;return co!==void 0&&lo&&co.addSplice(newSplice(this.length,[uo],0)),uo},eo.push=function(){const lo=ro.apply(this,arguments),uo=this.$fastController;return uo!==void 0&&uo.addSplice(adjustIndex(newSplice(this.length-arguments.length,[],arguments.length),this)),lo},eo.reverse=function(){let lo;const uo=this.$fastController;uo!==void 0&&(uo.flush(),lo=this.slice());const co=no.apply(this,arguments);return uo!==void 0&&uo.reset(lo),co},eo.shift=function(){const lo=this.length>0,uo=oo.apply(this,arguments),co=this.$fastController;return co!==void 0&&lo&&co.addSplice(newSplice(0,[uo],0)),uo},eo.sort=function(){let lo;const uo=this.$fastController;uo!==void 0&&(uo.flush(),lo=this.slice());const co=io.apply(this,arguments);return uo!==void 0&&uo.reset(lo),co},eo.splice=function(){const lo=so.apply(this,arguments),uo=this.$fastController;return uo!==void 0&&uo.addSplice(adjustIndex(newSplice(+arguments[0],lo,arguments.length>2?arguments.length-2:0),this)),lo},eo.unshift=function(){const lo=ao.apply(this,arguments),uo=this.$fastController;return uo!==void 0&&uo.addSplice(adjustIndex(newSplice(0,[],arguments.length),this)),lo}}class RefBehavior{constructor(to,ro){this.target=to,this.propertyName=ro}bind(to){to[this.propertyName]=this.target}unbind(){}}function ref(eo){return new AttachedBehaviorHTMLDirective("fast-ref",RefBehavior,eo)}const isFunction$1=eo=>typeof eo=="function",noTemplate=()=>null;function normalizeBinding(eo){return eo===void 0?noTemplate:isFunction$1(eo)?eo:()=>eo}function when(eo,to,ro){const no=isFunction$1(eo)?eo:()=>eo,oo=normalizeBinding(to),io=normalizeBinding(ro);return(so,ao)=>no(so,ao)?oo(so,ao):io(so,ao)}function bindWithoutPositioning(eo,to,ro,no){eo.bind(to[ro],no)}function bindWithPositioning(eo,to,ro,no){const oo=Object.create(no);oo.index=ro,oo.length=to.length,eo.bind(to[ro],oo)}class RepeatBehavior{constructor(to,ro,no,oo,io,so){this.location=to,this.itemsBinding=ro,this.templateBinding=oo,this.options=so,this.source=null,this.views=[],this.items=null,this.itemsObserver=null,this.originalContext=void 0,this.childContext=void 0,this.bindView=bindWithoutPositioning,this.itemsBindingObserver=Observable$1.binding(ro,this,no),this.templateBindingObserver=Observable$1.binding(oo,this,io),so.positioning&&(this.bindView=bindWithPositioning)}bind(to,ro){this.source=to,this.originalContext=ro,this.childContext=Object.create(ro),this.childContext.parent=to,this.childContext.parentContext=this.originalContext,this.items=this.itemsBindingObserver.observe(to,this.originalContext),this.template=this.templateBindingObserver.observe(to,this.originalContext),this.observeItems(!0),this.refreshAllViews()}unbind(){this.source=null,this.items=null,this.itemsObserver!==null&&this.itemsObserver.unsubscribe(this),this.unbindAllViews(),this.itemsBindingObserver.disconnect(),this.templateBindingObserver.disconnect()}handleChange(to,ro){to===this.itemsBinding?(this.items=this.itemsBindingObserver.observe(this.source,this.originalContext),this.observeItems(),this.refreshAllViews()):to===this.templateBinding?(this.template=this.templateBindingObserver.observe(this.source,this.originalContext),this.refreshAllViews(!0)):this.updateViews(ro)}observeItems(to=!1){if(!this.items){this.items=emptyArray;return}const ro=this.itemsObserver,no=this.itemsObserver=Observable$1.getNotifier(this.items),oo=ro!==no;oo&&ro!==null&&ro.unsubscribe(this),(oo||to)&&no.subscribe(this)}updateViews(to){const ro=this.childContext,no=this.views,oo=this.bindView,io=this.items,so=this.template,ao=this.options.recycle,lo=[];let uo=0,co=0;for(let fo=0,ho=to.length;fo<ho;++fo){const po=to[fo],go=po.removed;let vo=0,bo=po.index;const xo=bo+po.addedCount,_o=no.splice(po.index,go.length),Eo=co=lo.length+_o.length;for(;bo<xo;++bo){const So=no[bo],To=So?So.firstChild:this.location;let wo;ao&&co>0?(vo<=Eo&&_o.length>0?(wo=_o[vo],vo++):(wo=lo[uo],uo++),co--):wo=so.create(),no.splice(bo,0,wo),oo(wo,io,bo,ro),wo.insertBefore(To)}_o[vo]&&lo.push(..._o.slice(vo))}for(let fo=uo,ho=lo.length;fo<ho;++fo)lo[fo].dispose();if(this.options.positioning)for(let fo=0,ho=no.length;fo<ho;++fo){const po=no[fo].context;po.length=ho,po.index=fo}}refreshAllViews(to=!1){const ro=this.items,no=this.childContext,oo=this.template,io=this.location,so=this.bindView;let ao=ro.length,lo=this.views,uo=lo.length;if((ao===0||to||!this.options.recycle)&&(HTMLView.disposeContiguousBatch(lo),uo=0),uo===0){this.views=lo=new Array(ao);for(let co=0;co<ao;++co){const fo=oo.create();so(fo,ro,co,no),lo[co]=fo,fo.insertBefore(io)}}else{let co=0;for(;co<ao;++co)if(co<uo){const ho=lo[co];so(ho,ro,co,no)}else{const ho=oo.create();so(ho,ro,co,no),lo.push(ho),ho.insertBefore(io)}const fo=lo.splice(co,uo-co);for(co=0,ao=fo.length;co<ao;++co)fo[co].dispose()}}unbindAllViews(){const to=this.views;for(let ro=0,no=to.length;ro<no;++ro)to[ro].unbind()}}class RepeatDirective extends HTMLDirective{constructor(to,ro,no){super(),this.itemsBinding=to,this.templateBinding=ro,this.options=no,this.createPlaceholder=DOM.createBlockPlaceholder,enableArrayObservation(),this.isItemsBindingVolatile=Observable$1.isVolatileBinding(to),this.isTemplateBindingVolatile=Observable$1.isVolatileBinding(ro)}createBehavior(to){return new RepeatBehavior(to,this.itemsBinding,this.isItemsBindingVolatile,this.templateBinding,this.isTemplateBindingVolatile,this.options)}}function elements(eo){return eo?function(to,ro,no){return to.nodeType===1&&to.matches(eo)}:function(to,ro,no){return to.nodeType===1}}class NodeObservationBehavior{constructor(to,ro){this.target=to,this.options=ro,this.source=null}bind(to){const ro=this.options.property;this.shouldUpdate=Observable$1.getAccessors(to).some(no=>no.name===ro),this.source=to,this.updateTarget(this.computeNodes()),this.shouldUpdate&&this.observe()}unbind(){this.updateTarget(emptyArray),this.source=null,this.shouldUpdate&&this.disconnect()}handleEvent(){this.updateTarget(this.computeNodes())}computeNodes(){let to=this.getNodes();return this.options.filter!==void 0&&(to=to.filter(this.options.filter)),to}updateTarget(to){this.source[this.options.property]=to}}class SlottedBehavior extends NodeObservationBehavior{constructor(to,ro){super(to,ro)}observe(){this.target.addEventListener("slotchange",this)}disconnect(){this.target.removeEventListener("slotchange",this)}getNodes(){return this.target.assignedNodes(this.options)}}function slotted(eo){return typeof eo=="string"&&(eo={property:eo}),new AttachedBehaviorHTMLDirective("fast-slotted",SlottedBehavior,eo)}class ChildrenBehavior extends NodeObservationBehavior{constructor(to,ro){super(to,ro),this.observer=null,ro.childList=!0}observe(){this.observer===null&&(this.observer=new MutationObserver(this.handleEvent.bind(this))),this.observer.observe(this.target,this.options)}disconnect(){this.observer.disconnect()}getNodes(){return"subtree"in this.options?Array.from(this.target.querySelectorAll(this.options.selector)):Array.from(this.target.childNodes)}}function children(eo){return typeof eo=="string"&&(eo={property:eo}),new AttachedBehaviorHTMLDirective("fast-children",ChildrenBehavior,eo)}class StartEnd{handleStartContentChange(){this.startContainer.classList.toggle("start",this.start.assignedNodes().length>0)}handleEndContentChange(){this.endContainer.classList.toggle("end",this.end.assignedNodes().length>0)}}const endSlotTemplate=(eo,to)=>html`
+    <span
+        part="end"
+        ${ref("endContainer")}
+        class=${ro=>to.end?"end":void 0}
+    >
+        <slot name="end" ${ref("end")} @slotchange="${ro=>ro.handleEndContentChange()}">
+            ${to.end||""}
+        </slot>
+    </span>
+`,startSlotTemplate=(eo,to)=>html`
+    <span
+        part="start"
+        ${ref("startContainer")}
+        class="${ro=>to.start?"start":void 0}"
+    >
+        <slot
+            name="start"
+            ${ref("start")}
+            @slotchange="${ro=>ro.handleStartContentChange()}"
+        >
+            ${to.start||""}
+        </slot>
+    </span>
+`;html`
+    <span part="end" ${ref("endContainer")}>
+        <slot
+            name="end"
+            ${ref("end")}
+            @slotchange="${eo=>eo.handleEndContentChange()}"
+        ></slot>
+    </span>
+`;html`
+    <span part="start" ${ref("startContainer")}>
+        <slot
+            name="start"
+            ${ref("start")}
+            @slotchange="${eo=>eo.handleStartContentChange()}"
+        ></slot>
+    </span>
+`;/*! *****************************************************************************
+Copyright (c) Microsoft Corporation.
+
+Permission to use, copy, modify, and/or distribute this software for any
+purpose with or without fee is hereby granted.
+
+THE SOFTWARE IS PROVIDED "AS IS" AND THE AUTHOR DISCLAIMS ALL WARRANTIES WITH
+REGARD TO THIS SOFTWARE INCLUDING ALL IMPLIED WARRANTIES OF MERCHANTABILITY
+AND FITNESS. IN NO EVENT SHALL THE AUTHOR BE LIABLE FOR ANY SPECIAL, DIRECT,
+INDIRECT, OR CONSEQUENTIAL DAMAGES OR ANY DAMAGES WHATSOEVER RESULTING FROM
+LOSS OF USE, DATA OR PROFITS, WHETHER IN AN ACTION OF CONTRACT, NEGLIGENCE OR
+OTHER TORTIOUS ACTION, ARISING OUT OF OR IN CONNECTION WITH THE USE OR
+PERFORMANCE OF THIS SOFTWARE.
+***************************************************************************** */function __decorate(eo,to,ro,no){var oo=arguments.length,io=oo<3?to:no===null?no=Object.getOwnPropertyDescriptor(to,ro):no,so;if(typeof Reflect=="object"&&typeof Reflect.decorate=="function")io=Reflect.decorate(eo,to,ro,no);else for(var ao=eo.length-1;ao>=0;ao--)(so=eo[ao])&&(io=(oo<3?so(io):oo>3?so(to,ro,io):so(to,ro))||io);return oo>3&&io&&Object.defineProperty(to,ro,io),io}const metadataByTarget=new Map;"metadata"in Reflect||(Reflect.metadata=function(eo,to){return function(ro){Reflect.defineMetadata(eo,to,ro)}},Reflect.defineMetadata=function(eo,to,ro){let no=metadataByTarget.get(ro);no===void 0&&metadataByTarget.set(ro,no=new Map),no.set(eo,to)},Reflect.getOwnMetadata=function(eo,to){const ro=metadataByTarget.get(to);if(ro!==void 0)return ro.get(eo)});class ResolverBuilder{constructor(to,ro){this.container=to,this.key=ro}instance(to){return this.registerResolver(0,to)}singleton(to){return this.registerResolver(1,to)}transient(to){return this.registerResolver(2,to)}callback(to){return this.registerResolver(3,to)}cachedCallback(to){return this.registerResolver(3,cacheCallbackResult(to))}aliasTo(to){return this.registerResolver(5,to)}registerResolver(to,ro){const{container:no,key:oo}=this;return this.container=this.key=void 0,no.registerResolver(oo,new ResolverImpl(oo,to,ro))}}function cloneArrayWithPossibleProps(eo){const to=eo.slice(),ro=Object.keys(eo),no=ro.length;let oo;for(let io=0;io<no;++io)oo=ro[io],isArrayIndex(oo)||(to[oo]=eo[oo]);return to}const DefaultResolver=Object.freeze({none(eo){throw Error(`${eo.toString()} not registered, did you forget to add @singleton()?`)},singleton(eo){return new ResolverImpl(eo,1,eo)},transient(eo){return new ResolverImpl(eo,2,eo)}}),ContainerConfiguration=Object.freeze({default:Object.freeze({parentLocator:()=>null,responsibleForOwnerRequests:!1,defaultResolver:DefaultResolver.singleton})}),dependencyLookup=new Map;function getParamTypes(eo){return to=>Reflect.getOwnMetadata(eo,to)}let rootDOMContainer=null;const DI=Object.freeze({createContainer(eo){return new ContainerImpl(null,Object.assign({},ContainerConfiguration.default,eo))},findResponsibleContainer(eo){const to=eo.$$container$$;return to&&to.responsibleForOwnerRequests?to:DI.findParentContainer(eo)},findParentContainer(eo){const to=new CustomEvent(DILocateParentEventType,{bubbles:!0,composed:!0,cancelable:!0,detail:{container:void 0}});return eo.dispatchEvent(to),to.detail.container||DI.getOrCreateDOMContainer()},getOrCreateDOMContainer(eo,to){return eo?eo.$$container$$||new ContainerImpl(eo,Object.assign({},ContainerConfiguration.default,to,{parentLocator:DI.findParentContainer})):rootDOMContainer||(rootDOMContainer=new ContainerImpl(null,Object.assign({},ContainerConfiguration.default,to,{parentLocator:()=>null})))},getDesignParamtypes:getParamTypes("design:paramtypes"),getAnnotationParamtypes:getParamTypes("di:paramtypes"),getOrCreateAnnotationParamTypes(eo){let to=this.getAnnotationParamtypes(eo);return to===void 0&&Reflect.defineMetadata("di:paramtypes",to=[],eo),to},getDependencies(eo){let to=dependencyLookup.get(eo);if(to===void 0){const ro=eo.inject;if(ro===void 0){const no=DI.getDesignParamtypes(eo),oo=DI.getAnnotationParamtypes(eo);if(no===void 0)if(oo===void 0){const io=Object.getPrototypeOf(eo);typeof io=="function"&&io!==Function.prototype?to=cloneArrayWithPossibleProps(DI.getDependencies(io)):to=[]}else to=cloneArrayWithPossibleProps(oo);else if(oo===void 0)to=cloneArrayWithPossibleProps(no);else{to=cloneArrayWithPossibleProps(no);let io=oo.length,so;for(let uo=0;uo<io;++uo)so=oo[uo],so!==void 0&&(to[uo]=so);const ao=Object.keys(oo);io=ao.length;let lo;for(let uo=0;uo<io;++uo)lo=ao[uo],isArrayIndex(lo)||(to[lo]=oo[lo])}}else to=cloneArrayWithPossibleProps(ro);dependencyLookup.set(eo,to)}return to},defineProperty(eo,to,ro,no=!1){const oo=`$di_${to}`;Reflect.defineProperty(eo,to,{get:function(){let io=this[oo];if(io===void 0&&(io=(this instanceof HTMLElement?DI.findResponsibleContainer(this):DI.getOrCreateDOMContainer()).get(ro),this[oo]=io,no&&this instanceof FASTElement)){const ao=this.$fastController,lo=()=>{const co=DI.findResponsibleContainer(this).get(ro),fo=this[oo];co!==fo&&(this[oo]=io,ao.notify(to))};ao.subscribe({handleChange:lo},"isConnected")}return io}})},createInterface(eo,to){const ro=typeof eo=="function"?eo:to,no=typeof eo=="string"?eo:eo&&"friendlyName"in eo&&eo.friendlyName||defaultFriendlyName,oo=typeof eo=="string"?!1:eo&&"respectConnection"in eo&&eo.respectConnection||!1,io=function(so,ao,lo){if(so==null||new.target!==void 0)throw new Error(`No registration for interface: '${io.friendlyName}'`);if(ao)DI.defineProperty(so,ao,io,oo);else{const uo=DI.getOrCreateAnnotationParamTypes(so);uo[lo]=io}};return io.$isInterface=!0,io.friendlyName=no??"(anonymous)",ro!=null&&(io.register=function(so,ao){return ro(new ResolverBuilder(so,ao??io))}),io.toString=function(){return`InterfaceSymbol<${io.friendlyName}>`},io},inject(...eo){return function(to,ro,no){if(typeof no=="number"){const oo=DI.getOrCreateAnnotationParamTypes(to),io=eo[0];io!==void 0&&(oo[no]=io)}else if(ro)DI.defineProperty(to,ro,eo[0]);else{const oo=no?DI.getOrCreateAnnotationParamTypes(no.value):DI.getOrCreateAnnotationParamTypes(to);let io;for(let so=0;so<eo.length;++so)io=eo[so],io!==void 0&&(oo[so]=io)}}},transient(eo){return eo.register=function(ro){return Registration.transient(eo,eo).register(ro)},eo.registerInRequestor=!1,eo},singleton(eo,to=defaultSingletonOptions){return eo.register=function(no){return Registration.singleton(eo,eo).register(no)},eo.registerInRequestor=to.scoped,eo}}),Container=DI.createInterface("Container");DI.inject;const defaultSingletonOptions={scoped:!1};class ResolverImpl{constructor(to,ro,no){this.key=to,this.strategy=ro,this.state=no,this.resolving=!1}get $isResolver(){return!0}register(to){return to.registerResolver(this.key,this)}resolve(to,ro){switch(this.strategy){case 0:return this.state;case 1:{if(this.resolving)throw new Error(`Cyclic dependency found: ${this.state.name}`);return this.resolving=!0,this.state=to.getFactory(this.state).construct(ro),this.strategy=0,this.resolving=!1,this.state}case 2:{const no=to.getFactory(this.state);if(no===null)throw new Error(`Resolver for ${String(this.key)} returned a null factory`);return no.construct(ro)}case 3:return this.state(to,ro,this);case 4:return this.state[0].resolve(to,ro);case 5:return ro.get(this.state);default:throw new Error(`Invalid resolver strategy specified: ${this.strategy}.`)}}getFactory(to){var ro,no,oo;switch(this.strategy){case 1:case 2:return to.getFactory(this.state);case 5:return(oo=(no=(ro=to.getResolver(this.state))===null||ro===void 0?void 0:ro.getFactory)===null||no===void 0?void 0:no.call(ro,to))!==null&&oo!==void 0?oo:null;default:return null}}}function containerGetKey(eo){return this.get(eo)}function transformInstance(eo,to){return to(eo)}class FactoryImpl{constructor(to,ro){this.Type=to,this.dependencies=ro,this.transformers=null}construct(to,ro){let no;return ro===void 0?no=new this.Type(...this.dependencies.map(containerGetKey,to)):no=new this.Type(...this.dependencies.map(containerGetKey,to),...ro),this.transformers==null?no:this.transformers.reduce(transformInstance,no)}registerTransformer(to){(this.transformers||(this.transformers=[])).push(to)}}const containerResolver={$isResolver:!0,resolve(eo,to){return to}};function isRegistry(eo){return typeof eo.register=="function"}function isSelfRegistry(eo){return isRegistry(eo)&&typeof eo.registerInRequestor=="boolean"}function isRegisterInRequester(eo){return isSelfRegistry(eo)&&eo.registerInRequestor}function isClass(eo){return eo.prototype!==void 0}const InstrinsicTypeNames=new Set(["Array","ArrayBuffer","Boolean","DataView","Date","Error","EvalError","Float32Array","Float64Array","Function","Int8Array","Int16Array","Int32Array","Map","Number","Object","Promise","RangeError","ReferenceError","RegExp","Set","SharedArrayBuffer","String","SyntaxError","TypeError","Uint8Array","Uint8ClampedArray","Uint16Array","Uint32Array","URIError","WeakMap","WeakSet"]),DILocateParentEventType="__DI_LOCATE_PARENT__",factories=new Map;class ContainerImpl{constructor(to,ro){this.owner=to,this.config=ro,this._parent=void 0,this.registerDepth=0,this.context=null,to!==null&&(to.$$container$$=this),this.resolvers=new Map,this.resolvers.set(Container,containerResolver),to instanceof Node&&to.addEventListener(DILocateParentEventType,no=>{no.composedPath()[0]!==this.owner&&(no.detail.container=this,no.stopImmediatePropagation())})}get parent(){return this._parent===void 0&&(this._parent=this.config.parentLocator(this.owner)),this._parent}get depth(){return this.parent===null?0:this.parent.depth+1}get responsibleForOwnerRequests(){return this.config.responsibleForOwnerRequests}registerWithContext(to,...ro){return this.context=to,this.register(...ro),this.context=null,this}register(...to){if(++this.registerDepth===100)throw new Error("Unable to autoregister dependency");let ro,no,oo,io,so;const ao=this.context;for(let lo=0,uo=to.length;lo<uo;++lo)if(ro=to[lo],!!isObject$3(ro))if(isRegistry(ro))ro.register(this,ao);else if(isClass(ro))Registration.singleton(ro,ro).register(this);else for(no=Object.keys(ro),io=0,so=no.length;io<so;++io)oo=ro[no[io]],isObject$3(oo)&&(isRegistry(oo)?oo.register(this,ao):this.register(oo));return--this.registerDepth,this}registerResolver(to,ro){validateKey(to);const no=this.resolvers,oo=no.get(to);return oo==null?no.set(to,ro):oo instanceof ResolverImpl&&oo.strategy===4?oo.state.push(ro):no.set(to,new ResolverImpl(to,4,[oo,ro])),ro}registerTransformer(to,ro){const no=this.getResolver(to);if(no==null)return!1;if(no.getFactory){const oo=no.getFactory(this);return oo==null?!1:(oo.registerTransformer(ro),!0)}return!1}getResolver(to,ro=!0){if(validateKey(to),to.resolve!==void 0)return to;let no=this,oo;for(;no!=null;)if(oo=no.resolvers.get(to),oo==null){if(no.parent==null){const io=isRegisterInRequester(to)?this:no;return ro?this.jitRegister(to,io):null}no=no.parent}else return oo;return null}has(to,ro=!1){return this.resolvers.has(to)?!0:ro&&this.parent!=null?this.parent.has(to,!0):!1}get(to){if(validateKey(to),to.$isResolver)return to.resolve(this,this);let ro=this,no;for(;ro!=null;)if(no=ro.resolvers.get(to),no==null){if(ro.parent==null){const oo=isRegisterInRequester(to)?this:ro;return no=this.jitRegister(to,oo),no.resolve(ro,this)}ro=ro.parent}else return no.resolve(ro,this);throw new Error(`Unable to resolve key: ${String(to)}`)}getAll(to,ro=!1){validateKey(to);const no=this;let oo=no,io;if(ro){let so=emptyArray;for(;oo!=null;)io=oo.resolvers.get(to),io!=null&&(so=so.concat(buildAllResponse(io,oo,no))),oo=oo.parent;return so}else for(;oo!=null;)if(io=oo.resolvers.get(to),io==null){if(oo=oo.parent,oo==null)return emptyArray}else return buildAllResponse(io,oo,no);return emptyArray}getFactory(to){let ro=factories.get(to);if(ro===void 0){if(isNativeFunction(to))throw new Error(`${to.name} is a native function and therefore cannot be safely constructed by DI. If this is intentional, please use a callback or cachedCallback resolver.`);factories.set(to,ro=new FactoryImpl(to,DI.getDependencies(to)))}return ro}registerFactory(to,ro){factories.set(to,ro)}createChild(to){return new ContainerImpl(null,Object.assign({},this.config,to,{parentLocator:()=>this}))}jitRegister(to,ro){if(typeof to!="function")throw new Error(`Attempted to jitRegister something that is not a constructor: '${to}'. Did you forget to register this dependency?`);if(InstrinsicTypeNames.has(to.name))throw new Error(`Attempted to jitRegister an intrinsic type: ${to.name}. Did you forget to add @inject(Key)`);if(isRegistry(to)){const no=to.register(ro);if(!(no instanceof Object)||no.resolve==null){const oo=ro.resolvers.get(to);if(oo!=null)return oo;throw new Error("A valid resolver was not returned from the static register method")}return no}else{if(to.$isInterface)throw new Error(`Attempted to jitRegister an interface: ${to.friendlyName}`);{const no=this.config.defaultResolver(to,ro);return ro.resolvers.set(to,no),no}}}}const cache$1=new WeakMap;function cacheCallbackResult(eo){return function(to,ro,no){if(cache$1.has(no))return cache$1.get(no);const oo=eo(to,ro,no);return cache$1.set(no,oo),oo}}const Registration=Object.freeze({instance(eo,to){return new ResolverImpl(eo,0,to)},singleton(eo,to){return new ResolverImpl(eo,1,to)},transient(eo,to){return new ResolverImpl(eo,2,to)},callback(eo,to){return new ResolverImpl(eo,3,to)},cachedCallback(eo,to){return new ResolverImpl(eo,3,cacheCallbackResult(to))},aliasTo(eo,to){return new ResolverImpl(to,5,eo)}});function validateKey(eo){if(eo==null)throw new Error("key/value cannot be null or undefined. Are you trying to inject/register something that doesn't exist with DI?")}function buildAllResponse(eo,to,ro){if(eo instanceof ResolverImpl&&eo.strategy===4){const no=eo.state;let oo=no.length;const io=new Array(oo);for(;oo--;)io[oo]=no[oo].resolve(to,ro);return io}return[eo.resolve(to,ro)]}const defaultFriendlyName="(anonymous)";function isObject$3(eo){return typeof eo=="object"&&eo!==null||typeof eo=="function"}const isNativeFunction=function(){const eo=new WeakMap;let to=!1,ro="",no=0;return function(oo){return to=eo.get(oo),to===void 0&&(ro=oo.toString(),no=ro.length,to=no>=29&&no<=100&&ro.charCodeAt(no-1)===125&&ro.charCodeAt(no-2)<=32&&ro.charCodeAt(no-3)===93&&ro.charCodeAt(no-4)===101&&ro.charCodeAt(no-5)===100&&ro.charCodeAt(no-6)===111&&ro.charCodeAt(no-7)===99&&ro.charCodeAt(no-8)===32&&ro.charCodeAt(no-9)===101&&ro.charCodeAt(no-10)===118&&ro.charCodeAt(no-11)===105&&ro.charCodeAt(no-12)===116&&ro.charCodeAt(no-13)===97&&ro.charCodeAt(no-14)===110&&ro.charCodeAt(no-15)===88,eo.set(oo,to)),to}}(),isNumericLookup={};function isArrayIndex(eo){switch(typeof eo){case"number":return eo>=0&&(eo|0)===eo;case"string":{const to=isNumericLookup[eo];if(to!==void 0)return to;const ro=eo.length;if(ro===0)return isNumericLookup[eo]=!1;let no=0;for(let oo=0;oo<ro;++oo)if(no=eo.charCodeAt(oo),oo===0&&no===48&&ro>1||no<48||no>57)return isNumericLookup[eo]=!1;return isNumericLookup[eo]=!0}default:return!1}}function presentationKeyFromTag(eo){return`${eo.toLowerCase()}:presentation`}const presentationRegistry=new Map,ComponentPresentation=Object.freeze({define(eo,to,ro){const no=presentationKeyFromTag(eo);presentationRegistry.get(no)===void 0?presentationRegistry.set(no,to):presentationRegistry.set(no,!1),ro.register(Registration.instance(no,to))},forTag(eo,to){const ro=presentationKeyFromTag(eo),no=presentationRegistry.get(ro);return no===!1?DI.findResponsibleContainer(to).get(ro):no||null}});class DefaultComponentPresentation{constructor(to,ro){this.template=to||null,this.styles=ro===void 0?null:Array.isArray(ro)?ElementStyles.create(ro):ro instanceof ElementStyles?ro:ElementStyles.create([ro])}applyTo(to){const ro=to.$fastController;ro.template===null&&(ro.template=this.template),ro.styles===null&&(ro.styles=this.styles)}}class FoundationElement extends FASTElement{constructor(){super(...arguments),this._presentation=void 0}get $presentation(){return this._presentation===void 0&&(this._presentation=ComponentPresentation.forTag(this.tagName,this)),this._presentation}templateChanged(){this.template!==void 0&&(this.$fastController.template=this.template)}stylesChanged(){this.styles!==void 0&&(this.$fastController.styles=this.styles)}connectedCallback(){this.$presentation!==null&&this.$presentation.applyTo(this),super.connectedCallback()}static compose(to){return(ro={})=>new FoundationElementRegistry(this===FoundationElement?class extends FoundationElement{}:this,to,ro)}}__decorate([observable],FoundationElement.prototype,"template",void 0);__decorate([observable],FoundationElement.prototype,"styles",void 0);function resolveOption(eo,to,ro){return typeof eo=="function"?eo(to,ro):eo}class FoundationElementRegistry{constructor(to,ro,no){this.type=to,this.elementDefinition=ro,this.overrideDefinition=no,this.definition=Object.assign(Object.assign({},this.elementDefinition),this.overrideDefinition)}register(to,ro){const no=this.definition,oo=this.overrideDefinition,so=`${no.prefix||ro.elementPrefix}-${no.baseName}`;ro.tryDefineElement({name:so,type:this.type,baseClass:this.elementDefinition.baseClass,callback:ao=>{const lo=new DefaultComponentPresentation(resolveOption(no.template,ao,no),resolveOption(no.styles,ao,no));ao.definePresentation(lo);let uo=resolveOption(no.shadowOptions,ao,no);ao.shadowRootMode&&(uo?oo.shadowOptions||(uo.mode=ao.shadowRootMode):uo!==null&&(uo={mode:ao.shadowRootMode})),ao.defineElement({elementOptions:resolveOption(no.elementOptions,ao,no),shadowOptions:uo,attributes:resolveOption(no.attributes,ao,no)})}})}}function applyMixins(eo,...to){const ro=AttributeConfiguration.locate(eo);to.forEach(no=>{Object.getOwnPropertyNames(no.prototype).forEach(io=>{io!=="constructor"&&Object.defineProperty(eo.prototype,io,Object.getOwnPropertyDescriptor(no.prototype,io))}),AttributeConfiguration.locate(no).forEach(io=>ro.push(io))})}const Orientation={horizontal:"horizontal",vertical:"vertical"};function findLastIndex(eo,to){let ro=eo.length;for(;ro--;)if(to(eo[ro],ro,eo))return ro;return-1}function canUseDOM$1(){return!!(typeof window<"u"&&window.document&&window.document.createElement)}function isHTMLElement$3(...eo){return eo.every(to=>to instanceof HTMLElement)}function getNonce(){const eo=document.querySelector('meta[property="csp-nonce"]');return eo?eo.getAttribute("content"):null}let _canUseFocusVisible;function canUseFocusVisible(){if(typeof _canUseFocusVisible=="boolean")return _canUseFocusVisible;if(!canUseDOM$1())return _canUseFocusVisible=!1,_canUseFocusVisible;const eo=document.createElement("style"),to=getNonce();to!==null&&eo.setAttribute("nonce",to),document.head.appendChild(eo);try{eo.sheet.insertRule("foo:focus-visible {color:inherit}",0),_canUseFocusVisible=!0}catch{_canUseFocusVisible=!1}finally{document.head.removeChild(eo)}return _canUseFocusVisible}const eventFocus="focus",eventFocusIn="focusin",eventFocusOut="focusout",eventKeyDown="keydown";var KeyCodes;(function(eo){eo[eo.alt=18]="alt",eo[eo.arrowDown=40]="arrowDown",eo[eo.arrowLeft=37]="arrowLeft",eo[eo.arrowRight=39]="arrowRight",eo[eo.arrowUp=38]="arrowUp",eo[eo.back=8]="back",eo[eo.backSlash=220]="backSlash",eo[eo.break=19]="break",eo[eo.capsLock=20]="capsLock",eo[eo.closeBracket=221]="closeBracket",eo[eo.colon=186]="colon",eo[eo.colon2=59]="colon2",eo[eo.comma=188]="comma",eo[eo.ctrl=17]="ctrl",eo[eo.delete=46]="delete",eo[eo.end=35]="end",eo[eo.enter=13]="enter",eo[eo.equals=187]="equals",eo[eo.equals2=61]="equals2",eo[eo.equals3=107]="equals3",eo[eo.escape=27]="escape",eo[eo.forwardSlash=191]="forwardSlash",eo[eo.function1=112]="function1",eo[eo.function10=121]="function10",eo[eo.function11=122]="function11",eo[eo.function12=123]="function12",eo[eo.function2=113]="function2",eo[eo.function3=114]="function3",eo[eo.function4=115]="function4",eo[eo.function5=116]="function5",eo[eo.function6=117]="function6",eo[eo.function7=118]="function7",eo[eo.function8=119]="function8",eo[eo.function9=120]="function9",eo[eo.home=36]="home",eo[eo.insert=45]="insert",eo[eo.menu=93]="menu",eo[eo.minus=189]="minus",eo[eo.minus2=109]="minus2",eo[eo.numLock=144]="numLock",eo[eo.numPad0=96]="numPad0",eo[eo.numPad1=97]="numPad1",eo[eo.numPad2=98]="numPad2",eo[eo.numPad3=99]="numPad3",eo[eo.numPad4=100]="numPad4",eo[eo.numPad5=101]="numPad5",eo[eo.numPad6=102]="numPad6",eo[eo.numPad7=103]="numPad7",eo[eo.numPad8=104]="numPad8",eo[eo.numPad9=105]="numPad9",eo[eo.numPadDivide=111]="numPadDivide",eo[eo.numPadDot=110]="numPadDot",eo[eo.numPadMinus=109]="numPadMinus",eo[eo.numPadMultiply=106]="numPadMultiply",eo[eo.numPadPlus=107]="numPadPlus",eo[eo.openBracket=219]="openBracket",eo[eo.pageDown=34]="pageDown",eo[eo.pageUp=33]="pageUp",eo[eo.period=190]="period",eo[eo.print=44]="print",eo[eo.quote=222]="quote",eo[eo.scrollLock=145]="scrollLock",eo[eo.shift=16]="shift",eo[eo.space=32]="space",eo[eo.tab=9]="tab",eo[eo.tilde=192]="tilde",eo[eo.windowsLeft=91]="windowsLeft",eo[eo.windowsOpera=219]="windowsOpera",eo[eo.windowsRight=92]="windowsRight"})(KeyCodes||(KeyCodes={}));const keyArrowDown="ArrowDown",keyArrowLeft="ArrowLeft",keyArrowRight="ArrowRight",keyArrowUp="ArrowUp",keyEnter="Enter",keyEscape="Escape",keyHome="Home",keyEnd="End",keyFunction2="F2",keyPageDown="PageDown",keyPageUp="PageUp",keySpace=" ",keyTab="Tab",ArrowKeys={ArrowDown:keyArrowDown,ArrowLeft:keyArrowLeft,ArrowRight:keyArrowRight,ArrowUp:keyArrowUp};var Direction$1;(function(eo){eo.ltr="ltr",eo.rtl="rtl"})(Direction$1||(Direction$1={}));function limit(eo,to,ro){return Math.min(Math.max(ro,eo),to)}function inRange(eo,to,ro=0){return[to,ro]=[to,ro].sort((no,oo)=>no-oo),to<=eo&&eo<ro}let uniqueIdCounter=0;function uniqueId(eo=""){return`${eo}${uniqueIdCounter++}`}const anchorTemplate=(eo,to)=>html`
+    <a
+        class="control"
+        part="control"
+        download="${ro=>ro.download}"
+        href="${ro=>ro.href}"
+        hreflang="${ro=>ro.hreflang}"
+        ping="${ro=>ro.ping}"
+        referrerpolicy="${ro=>ro.referrerpolicy}"
+        rel="${ro=>ro.rel}"
+        target="${ro=>ro.target}"
+        type="${ro=>ro.type}"
+        aria-atomic="${ro=>ro.ariaAtomic}"
+        aria-busy="${ro=>ro.ariaBusy}"
+        aria-controls="${ro=>ro.ariaControls}"
+        aria-current="${ro=>ro.ariaCurrent}"
+        aria-describedby="${ro=>ro.ariaDescribedby}"
+        aria-details="${ro=>ro.ariaDetails}"
+        aria-disabled="${ro=>ro.ariaDisabled}"
+        aria-errormessage="${ro=>ro.ariaErrormessage}"
+        aria-expanded="${ro=>ro.ariaExpanded}"
+        aria-flowto="${ro=>ro.ariaFlowto}"
+        aria-haspopup="${ro=>ro.ariaHaspopup}"
+        aria-hidden="${ro=>ro.ariaHidden}"
+        aria-invalid="${ro=>ro.ariaInvalid}"
+        aria-keyshortcuts="${ro=>ro.ariaKeyshortcuts}"
+        aria-label="${ro=>ro.ariaLabel}"
+        aria-labelledby="${ro=>ro.ariaLabelledby}"
+        aria-live="${ro=>ro.ariaLive}"
+        aria-owns="${ro=>ro.ariaOwns}"
+        aria-relevant="${ro=>ro.ariaRelevant}"
+        aria-roledescription="${ro=>ro.ariaRoledescription}"
+        ${ref("control")}
+    >
+        ${startSlotTemplate(eo,to)}
+        <span class="content" part="content">
+            <slot ${slotted("defaultSlottedContent")}></slot>
+        </span>
+        ${endSlotTemplate(eo,to)}
+    </a>
+`;class ARIAGlobalStatesAndProperties{}__decorate([attr({attribute:"aria-atomic"})],ARIAGlobalStatesAndProperties.prototype,"ariaAtomic",void 0);__decorate([attr({attribute:"aria-busy"})],ARIAGlobalStatesAndProperties.prototype,"ariaBusy",void 0);__decorate([attr({attribute:"aria-controls"})],ARIAGlobalStatesAndProperties.prototype,"ariaControls",void 0);__decorate([attr({attribute:"aria-current"})],ARIAGlobalStatesAndProperties.prototype,"ariaCurrent",void 0);__decorate([attr({attribute:"aria-describedby"})],ARIAGlobalStatesAndProperties.prototype,"ariaDescribedby",void 0);__decorate([attr({attribute:"aria-details"})],ARIAGlobalStatesAndProperties.prototype,"ariaDetails",void 0);__decorate([attr({attribute:"aria-disabled"})],ARIAGlobalStatesAndProperties.prototype,"ariaDisabled",void 0);__decorate([attr({attribute:"aria-errormessage"})],ARIAGlobalStatesAndProperties.prototype,"ariaErrormessage",void 0);__decorate([attr({attribute:"aria-flowto"})],ARIAGlobalStatesAndProperties.prototype,"ariaFlowto",void 0);__decorate([attr({attribute:"aria-haspopup"})],ARIAGlobalStatesAndProperties.prototype,"ariaHaspopup",void 0);__decorate([attr({attribute:"aria-hidden"})],ARIAGlobalStatesAndProperties.prototype,"ariaHidden",void 0);__decorate([attr({attribute:"aria-invalid"})],ARIAGlobalStatesAndProperties.prototype,"ariaInvalid",void 0);__decorate([attr({attribute:"aria-keyshortcuts"})],ARIAGlobalStatesAndProperties.prototype,"ariaKeyshortcuts",void 0);__decorate([attr({attribute:"aria-label"})],ARIAGlobalStatesAndProperties.prototype,"ariaLabel",void 0);__decorate([attr({attribute:"aria-labelledby"})],ARIAGlobalStatesAndProperties.prototype,"ariaLabelledby",void 0);__decorate([attr({attribute:"aria-live"})],ARIAGlobalStatesAndProperties.prototype,"ariaLive",void 0);__decorate([attr({attribute:"aria-owns"})],ARIAGlobalStatesAndProperties.prototype,"ariaOwns",void 0);__decorate([attr({attribute:"aria-relevant"})],ARIAGlobalStatesAndProperties.prototype,"ariaRelevant",void 0);__decorate([attr({attribute:"aria-roledescription"})],ARIAGlobalStatesAndProperties.prototype,"ariaRoledescription",void 0);class Anchor extends FoundationElement{constructor(){super(...arguments),this.handleUnsupportedDelegatesFocus=()=>{var to;window.ShadowRoot&&!window.ShadowRoot.prototype.hasOwnProperty("delegatesFocus")&&(!((to=this.$fastController.definition.shadowOptions)===null||to===void 0)&&to.delegatesFocus)&&(this.focus=()=>{var ro;(ro=this.control)===null||ro===void 0||ro.focus()})}}connectedCallback(){super.connectedCallback(),this.handleUnsupportedDelegatesFocus()}}__decorate([attr],Anchor.prototype,"download",void 0);__decorate([attr],Anchor.prototype,"href",void 0);__decorate([attr],Anchor.prototype,"hreflang",void 0);__decorate([attr],Anchor.prototype,"ping",void 0);__decorate([attr],Anchor.prototype,"referrerpolicy",void 0);__decorate([attr],Anchor.prototype,"rel",void 0);__decorate([attr],Anchor.prototype,"target",void 0);__decorate([attr],Anchor.prototype,"type",void 0);__decorate([observable],Anchor.prototype,"defaultSlottedContent",void 0);class DelegatesARIALink{}__decorate([attr({attribute:"aria-expanded"})],DelegatesARIALink.prototype,"ariaExpanded",void 0);applyMixins(DelegatesARIALink,ARIAGlobalStatesAndProperties);applyMixins(Anchor,StartEnd,DelegatesARIALink);const getDirection=eo=>{const to=eo.closest("[dir]");return to!==null&&to.dir==="rtl"?Direction$1.rtl:Direction$1.ltr},badgeTemplate=(eo,to)=>html`
+    <template class="${ro=>ro.circular?"circular":""}">
+        <div class="control" part="control" style="${ro=>ro.generateBadgeStyle()}">
+            <slot></slot>
+        </div>
+    </template>
+`;let Badge$1=class extends FoundationElement{constructor(){super(...arguments),this.generateBadgeStyle=()=>{if(!this.fill&&!this.color)return;const to=`background-color: var(--badge-fill-${this.fill});`,ro=`color: var(--badge-color-${this.color});`;return this.fill&&!this.color?to:this.color&&!this.fill?ro:`${ro} ${to}`}}};__decorate([attr({attribute:"fill"})],Badge$1.prototype,"fill",void 0);__decorate([attr({attribute:"color"})],Badge$1.prototype,"color",void 0);__decorate([attr({mode:"boolean"})],Badge$1.prototype,"circular",void 0);const buttonTemplate=(eo,to)=>html`
+    <button
+        class="control"
+        part="control"
+        ?autofocus="${ro=>ro.autofocus}"
+        ?disabled="${ro=>ro.disabled}"
+        form="${ro=>ro.formId}"
+        formaction="${ro=>ro.formaction}"
+        formenctype="${ro=>ro.formenctype}"
+        formmethod="${ro=>ro.formmethod}"
+        formnovalidate="${ro=>ro.formnovalidate}"
+        formtarget="${ro=>ro.formtarget}"
+        name="${ro=>ro.name}"
+        type="${ro=>ro.type}"
+        value="${ro=>ro.value}"
+        aria-atomic="${ro=>ro.ariaAtomic}"
+        aria-busy="${ro=>ro.ariaBusy}"
+        aria-controls="${ro=>ro.ariaControls}"
+        aria-current="${ro=>ro.ariaCurrent}"
+        aria-describedby="${ro=>ro.ariaDescribedby}"
+        aria-details="${ro=>ro.ariaDetails}"
+        aria-disabled="${ro=>ro.ariaDisabled}"
+        aria-errormessage="${ro=>ro.ariaErrormessage}"
+        aria-expanded="${ro=>ro.ariaExpanded}"
+        aria-flowto="${ro=>ro.ariaFlowto}"
+        aria-haspopup="${ro=>ro.ariaHaspopup}"
+        aria-hidden="${ro=>ro.ariaHidden}"
+        aria-invalid="${ro=>ro.ariaInvalid}"
+        aria-keyshortcuts="${ro=>ro.ariaKeyshortcuts}"
+        aria-label="${ro=>ro.ariaLabel}"
+        aria-labelledby="${ro=>ro.ariaLabelledby}"
+        aria-live="${ro=>ro.ariaLive}"
+        aria-owns="${ro=>ro.ariaOwns}"
+        aria-pressed="${ro=>ro.ariaPressed}"
+        aria-relevant="${ro=>ro.ariaRelevant}"
+        aria-roledescription="${ro=>ro.ariaRoledescription}"
+        ${ref("control")}
+    >
+        ${startSlotTemplate(eo,to)}
+        <span class="content" part="content">
+            <slot ${slotted("defaultSlottedContent")}></slot>
+        </span>
+        ${endSlotTemplate(eo,to)}
+    </button>
+`,proxySlotName="form-associated-proxy",ElementInternalsKey="ElementInternals",supportsElementInternals=ElementInternalsKey in window&&"setFormValue"in window[ElementInternalsKey].prototype,InternalsMap=new WeakMap;function FormAssociated(eo){const to=class extends eo{constructor(...ro){super(...ro),this.dirtyValue=!1,this.disabled=!1,this.proxyEventsToBlock=["change","click"],this.proxyInitialized=!1,this.required=!1,this.initialValue=this.initialValue||"",this.elementInternals||(this.formResetCallback=this.formResetCallback.bind(this))}static get formAssociated(){return supportsElementInternals}get validity(){return this.elementInternals?this.elementInternals.validity:this.proxy.validity}get form(){return this.elementInternals?this.elementInternals.form:this.proxy.form}get validationMessage(){return this.elementInternals?this.elementInternals.validationMessage:this.proxy.validationMessage}get willValidate(){return this.elementInternals?this.elementInternals.willValidate:this.proxy.willValidate}get labels(){if(this.elementInternals)return Object.freeze(Array.from(this.elementInternals.labels));if(this.proxy instanceof HTMLElement&&this.proxy.ownerDocument&&this.id){const ro=this.proxy.labels,no=Array.from(this.proxy.getRootNode().querySelectorAll(`[for='${this.id}']`)),oo=ro?no.concat(Array.from(ro)):no;return Object.freeze(oo)}else return emptyArray}valueChanged(ro,no){this.dirtyValue=!0,this.proxy instanceof HTMLElement&&(this.proxy.value=this.value),this.currentValue=this.value,this.setFormValue(this.value),this.validate()}currentValueChanged(){this.value=this.currentValue}initialValueChanged(ro,no){this.dirtyValue||(this.value=this.initialValue,this.dirtyValue=!1)}disabledChanged(ro,no){this.proxy instanceof HTMLElement&&(this.proxy.disabled=this.disabled),DOM.queueUpdate(()=>this.classList.toggle("disabled",this.disabled))}nameChanged(ro,no){this.proxy instanceof HTMLElement&&(this.proxy.name=this.name)}requiredChanged(ro,no){this.proxy instanceof HTMLElement&&(this.proxy.required=this.required),DOM.queueUpdate(()=>this.classList.toggle("required",this.required)),this.validate()}get elementInternals(){if(!supportsElementInternals)return null;let ro=InternalsMap.get(this);return ro||(ro=this.attachInternals(),InternalsMap.set(this,ro)),ro}connectedCallback(){super.connectedCallback(),this.addEventListener("keypress",this._keypressHandler),this.value||(this.value=this.initialValue,this.dirtyValue=!1),this.elementInternals||(this.attachProxy(),this.form&&this.form.addEventListener("reset",this.formResetCallback))}disconnectedCallback(){super.disconnectedCallback(),this.proxyEventsToBlock.forEach(ro=>this.proxy.removeEventListener(ro,this.stopPropagation)),!this.elementInternals&&this.form&&this.form.removeEventListener("reset",this.formResetCallback)}checkValidity(){return this.elementInternals?this.elementInternals.checkValidity():this.proxy.checkValidity()}reportValidity(){return this.elementInternals?this.elementInternals.reportValidity():this.proxy.reportValidity()}setValidity(ro,no,oo){this.elementInternals?this.elementInternals.setValidity(ro,no,oo):typeof no=="string"&&this.proxy.setCustomValidity(no)}formDisabledCallback(ro){this.disabled=ro}formResetCallback(){this.value=this.initialValue,this.dirtyValue=!1}attachProxy(){var ro;this.proxyInitialized||(this.proxyInitialized=!0,this.proxy.style.display="none",this.proxyEventsToBlock.forEach(no=>this.proxy.addEventListener(no,this.stopPropagation)),this.proxy.disabled=this.disabled,this.proxy.required=this.required,typeof this.name=="string"&&(this.proxy.name=this.name),typeof this.value=="string"&&(this.proxy.value=this.value),this.proxy.setAttribute("slot",proxySlotName),this.proxySlot=document.createElement("slot"),this.proxySlot.setAttribute("name",proxySlotName)),(ro=this.shadowRoot)===null||ro===void 0||ro.appendChild(this.proxySlot),this.appendChild(this.proxy)}detachProxy(){var ro;this.removeChild(this.proxy),(ro=this.shadowRoot)===null||ro===void 0||ro.removeChild(this.proxySlot)}validate(ro){this.proxy instanceof HTMLElement&&this.setValidity(this.proxy.validity,this.proxy.validationMessage,ro)}setFormValue(ro,no){this.elementInternals&&this.elementInternals.setFormValue(ro,no||ro)}_keypressHandler(ro){switch(ro.key){case keyEnter:if(this.form instanceof HTMLFormElement){const no=this.form.querySelector("[type=submit]");no==null||no.click()}break}}stopPropagation(ro){ro.stopPropagation()}};return attr({mode:"boolean"})(to.prototype,"disabled"),attr({mode:"fromView",attribute:"value"})(to.prototype,"initialValue"),attr({attribute:"current-value"})(to.prototype,"currentValue"),attr(to.prototype,"name"),attr({mode:"boolean"})(to.prototype,"required"),observable(to.prototype,"value"),to}function CheckableFormAssociated(eo){class to extends FormAssociated(eo){}class ro extends to{constructor(...oo){super(oo),this.dirtyChecked=!1,this.checkedAttribute=!1,this.checked=!1,this.dirtyChecked=!1}checkedAttributeChanged(){this.defaultChecked=this.checkedAttribute}defaultCheckedChanged(){this.dirtyChecked||(this.checked=this.defaultChecked,this.dirtyChecked=!1)}checkedChanged(oo,io){this.dirtyChecked||(this.dirtyChecked=!0),this.currentChecked=this.checked,this.updateForm(),this.proxy instanceof HTMLInputElement&&(this.proxy.checked=this.checked),oo!==void 0&&this.$emit("change"),this.validate()}currentCheckedChanged(oo,io){this.checked=this.currentChecked}updateForm(){const oo=this.checked?this.value:null;this.setFormValue(oo,oo)}connectedCallback(){super.connectedCallback(),this.updateForm()}formResetCallback(){super.formResetCallback(),this.checked=!!this.checkedAttribute,this.dirtyChecked=!1}}return attr({attribute:"checked",mode:"boolean"})(ro.prototype,"checkedAttribute"),attr({attribute:"current-checked",converter:booleanConverter})(ro.prototype,"currentChecked"),observable(ro.prototype,"defaultChecked"),observable(ro.prototype,"checked"),ro}class _Button extends FoundationElement{}class FormAssociatedButton extends FormAssociated(_Button){constructor(){super(...arguments),this.proxy=document.createElement("input")}}let Button$1=class extends FormAssociatedButton{constructor(){super(...arguments),this.handleClick=to=>{var ro;this.disabled&&((ro=this.defaultSlottedContent)===null||ro===void 0?void 0:ro.length)<=1&&to.stopPropagation()},this.handleSubmission=()=>{if(!this.form)return;const to=this.proxy.isConnected;to||this.attachProxy(),typeof this.form.requestSubmit=="function"?this.form.requestSubmit(this.proxy):this.proxy.click(),to||this.detachProxy()},this.handleFormReset=()=>{var to;(to=this.form)===null||to===void 0||to.reset()},this.handleUnsupportedDelegatesFocus=()=>{var to;window.ShadowRoot&&!window.ShadowRoot.prototype.hasOwnProperty("delegatesFocus")&&(!((to=this.$fastController.definition.shadowOptions)===null||to===void 0)&&to.delegatesFocus)&&(this.focus=()=>{this.control.focus()})}}formactionChanged(){this.proxy instanceof HTMLInputElement&&(this.proxy.formAction=this.formaction)}formenctypeChanged(){this.proxy instanceof HTMLInputElement&&(this.proxy.formEnctype=this.formenctype)}formmethodChanged(){this.proxy instanceof HTMLInputElement&&(this.proxy.formMethod=this.formmethod)}formnovalidateChanged(){this.proxy instanceof HTMLInputElement&&(this.proxy.formNoValidate=this.formnovalidate)}formtargetChanged(){this.proxy instanceof HTMLInputElement&&(this.proxy.formTarget=this.formtarget)}typeChanged(to,ro){this.proxy instanceof HTMLInputElement&&(this.proxy.type=this.type),ro==="submit"&&this.addEventListener("click",this.handleSubmission),to==="submit"&&this.removeEventListener("click",this.handleSubmission),ro==="reset"&&this.addEventListener("click",this.handleFormReset),to==="reset"&&this.removeEventListener("click",this.handleFormReset)}validate(){super.validate(this.control)}connectedCallback(){var to;super.connectedCallback(),this.proxy.setAttribute("type",this.type),this.handleUnsupportedDelegatesFocus();const ro=Array.from((to=this.control)===null||to===void 0?void 0:to.children);ro&&ro.forEach(no=>{no.addEventListener("click",this.handleClick)})}disconnectedCallback(){var to;super.disconnectedCallback();const ro=Array.from((to=this.control)===null||to===void 0?void 0:to.children);ro&&ro.forEach(no=>{no.removeEventListener("click",this.handleClick)})}};__decorate([attr({mode:"boolean"})],Button$1.prototype,"autofocus",void 0);__decorate([attr({attribute:"form"})],Button$1.prototype,"formId",void 0);__decorate([attr],Button$1.prototype,"formaction",void 0);__decorate([attr],Button$1.prototype,"formenctype",void 0);__decorate([attr],Button$1.prototype,"formmethod",void 0);__decorate([attr({mode:"boolean"})],Button$1.prototype,"formnovalidate",void 0);__decorate([attr],Button$1.prototype,"formtarget",void 0);__decorate([attr],Button$1.prototype,"type",void 0);__decorate([observable],Button$1.prototype,"defaultSlottedContent",void 0);class DelegatesARIAButton{}__decorate([attr({attribute:"aria-expanded"})],DelegatesARIAButton.prototype,"ariaExpanded",void 0);__decorate([attr({attribute:"aria-pressed"})],DelegatesARIAButton.prototype,"ariaPressed",void 0);applyMixins(DelegatesARIAButton,ARIAGlobalStatesAndProperties);applyMixins(Button$1,StartEnd,DelegatesARIAButton);const GenerateHeaderOptions={none:"none",default:"default",sticky:"sticky"},DataGridCellTypes={default:"default",columnHeader:"columnheader",rowHeader:"rowheader"},DataGridRowTypes={default:"default",header:"header",stickyHeader:"sticky-header"};let DataGridRow$1=class extends FoundationElement{constructor(){super(...arguments),this.rowType=DataGridRowTypes.default,this.rowData=null,this.columnDefinitions=null,this.isActiveRow=!1,this.cellsRepeatBehavior=null,this.cellsPlaceholder=null,this.focusColumnIndex=0,this.refocusOnLoad=!1,this.updateRowStyle=()=>{this.style.gridTemplateColumns=this.gridTemplateColumns}}gridTemplateColumnsChanged(){this.$fastController.isConnected&&this.updateRowStyle()}rowTypeChanged(){this.$fastController.isConnected&&this.updateItemTemplate()}rowDataChanged(){if(this.rowData!==null&&this.isActiveRow){this.refocusOnLoad=!0;return}}cellItemTemplateChanged(){this.updateItemTemplate()}headerCellItemTemplateChanged(){this.updateItemTemplate()}connectedCallback(){super.connectedCallback(),this.cellsRepeatBehavior===null&&(this.cellsPlaceholder=document.createComment(""),this.appendChild(this.cellsPlaceholder),this.updateItemTemplate(),this.cellsRepeatBehavior=new RepeatDirective(to=>to.columnDefinitions,to=>to.activeCellItemTemplate,{positioning:!0}).createBehavior(this.cellsPlaceholder),this.$fastController.addBehaviors([this.cellsRepeatBehavior])),this.addEventListener("cell-focused",this.handleCellFocus),this.addEventListener(eventFocusOut,this.handleFocusout),this.addEventListener(eventKeyDown,this.handleKeydown),this.updateRowStyle(),this.refocusOnLoad&&(this.refocusOnLoad=!1,this.cellElements.length>this.focusColumnIndex&&this.cellElements[this.focusColumnIndex].focus())}disconnectedCallback(){super.disconnectedCallback(),this.removeEventListener("cell-focused",this.handleCellFocus),this.removeEventListener(eventFocusOut,this.handleFocusout),this.removeEventListener(eventKeyDown,this.handleKeydown)}handleFocusout(to){this.contains(to.target)||(this.isActiveRow=!1,this.focusColumnIndex=0)}handleCellFocus(to){this.isActiveRow=!0,this.focusColumnIndex=this.cellElements.indexOf(to.target),this.$emit("row-focused",this)}handleKeydown(to){if(to.defaultPrevented)return;let ro=0;switch(to.key){case keyArrowLeft:ro=Math.max(0,this.focusColumnIndex-1),this.cellElements[ro].focus(),to.preventDefault();break;case keyArrowRight:ro=Math.min(this.cellElements.length-1,this.focusColumnIndex+1),this.cellElements[ro].focus(),to.preventDefault();break;case keyHome:to.ctrlKey||(this.cellElements[0].focus(),to.preventDefault());break;case keyEnd:to.ctrlKey||(this.cellElements[this.cellElements.length-1].focus(),to.preventDefault());break}}updateItemTemplate(){this.activeCellItemTemplate=this.rowType===DataGridRowTypes.default&&this.cellItemTemplate!==void 0?this.cellItemTemplate:this.rowType===DataGridRowTypes.default&&this.cellItemTemplate===void 0?this.defaultCellItemTemplate:this.headerCellItemTemplate!==void 0?this.headerCellItemTemplate:this.defaultHeaderCellItemTemplate}};__decorate([attr({attribute:"grid-template-columns"})],DataGridRow$1.prototype,"gridTemplateColumns",void 0);__decorate([attr({attribute:"row-type"})],DataGridRow$1.prototype,"rowType",void 0);__decorate([observable],DataGridRow$1.prototype,"rowData",void 0);__decorate([observable],DataGridRow$1.prototype,"columnDefinitions",void 0);__decorate([observable],DataGridRow$1.prototype,"cellItemTemplate",void 0);__decorate([observable],DataGridRow$1.prototype,"headerCellItemTemplate",void 0);__decorate([observable],DataGridRow$1.prototype,"rowIndex",void 0);__decorate([observable],DataGridRow$1.prototype,"isActiveRow",void 0);__decorate([observable],DataGridRow$1.prototype,"activeCellItemTemplate",void 0);__decorate([observable],DataGridRow$1.prototype,"defaultCellItemTemplate",void 0);__decorate([observable],DataGridRow$1.prototype,"defaultHeaderCellItemTemplate",void 0);__decorate([observable],DataGridRow$1.prototype,"cellElements",void 0);function createRowItemTemplate(eo){const to=eo.tagFor(DataGridRow$1);return html`
+    <${to}
+        :rowData="${ro=>ro}"
+        :cellItemTemplate="${(ro,no)=>no.parent.cellItemTemplate}"
+        :headerCellItemTemplate="${(ro,no)=>no.parent.headerCellItemTemplate}"
+    ></${to}>
+`}const dataGridTemplate=(eo,to)=>{const ro=createRowItemTemplate(eo),no=eo.tagFor(DataGridRow$1);return html`
+        <template
+            role="grid"
+            tabindex="0"
+            :rowElementTag="${()=>no}"
+            :defaultRowItemTemplate="${ro}"
+            ${children({property:"rowElements",filter:elements("[role=row]")})}
+        >
+            <slot></slot>
+        </template>
+    `};let DataGrid$1=class Y0 extends FoundationElement{constructor(){super(),this.noTabbing=!1,this.generateHeader=GenerateHeaderOptions.default,this.rowsData=[],this.columnDefinitions=null,this.focusRowIndex=0,this.focusColumnIndex=0,this.rowsPlaceholder=null,this.generatedHeader=null,this.isUpdatingFocus=!1,this.pendingFocusUpdate=!1,this.rowindexUpdateQueued=!1,this.columnDefinitionsStale=!0,this.generatedGridTemplateColumns="",this.focusOnCell=(to,ro,no)=>{if(this.rowElements.length===0){this.focusRowIndex=0,this.focusColumnIndex=0;return}const oo=Math.max(0,Math.min(this.rowElements.length-1,to)),so=this.rowElements[oo].querySelectorAll('[role="cell"], [role="gridcell"], [role="columnheader"], [role="rowheader"]'),ao=Math.max(0,Math.min(so.length-1,ro)),lo=so[ao];no&&this.scrollHeight!==this.clientHeight&&(oo<this.focusRowIndex&&this.scrollTop>0||oo>this.focusRowIndex&&this.scrollTop<this.scrollHeight-this.clientHeight)&&lo.scrollIntoView({block:"center",inline:"center"}),lo.focus()},this.onChildListChange=(to,ro)=>{to&&to.length&&(to.forEach(no=>{no.addedNodes.forEach(oo=>{oo.nodeType===1&&oo.getAttribute("role")==="row"&&(oo.columnDefinitions=this.columnDefinitions)})}),this.queueRowIndexUpdate())},this.queueRowIndexUpdate=()=>{this.rowindexUpdateQueued||(this.rowindexUpdateQueued=!0,DOM.queueUpdate(this.updateRowIndexes))},this.updateRowIndexes=()=>{let to=this.gridTemplateColumns;if(to===void 0){if(this.generatedGridTemplateColumns===""&&this.rowElements.length>0){const ro=this.rowElements[0];this.generatedGridTemplateColumns=new Array(ro.cellElements.length).fill("1fr").join(" ")}to=this.generatedGridTemplateColumns}this.rowElements.forEach((ro,no)=>{const oo=ro;oo.rowIndex=no,oo.gridTemplateColumns=to,this.columnDefinitionsStale&&(oo.columnDefinitions=this.columnDefinitions)}),this.rowindexUpdateQueued=!1,this.columnDefinitionsStale=!1}}static generateTemplateColumns(to){let ro="";return to.forEach(no=>{ro=`${ro}${ro===""?"":" "}1fr`}),ro}noTabbingChanged(){this.$fastController.isConnected&&(this.noTabbing?this.setAttribute("tabIndex","-1"):this.setAttribute("tabIndex",this.contains(document.activeElement)||this===document.activeElement?"-1":"0"))}generateHeaderChanged(){this.$fastController.isConnected&&this.toggleGeneratedHeader()}gridTemplateColumnsChanged(){this.$fastController.isConnected&&this.updateRowIndexes()}rowsDataChanged(){this.columnDefinitions===null&&this.rowsData.length>0&&(this.columnDefinitions=Y0.generateColumns(this.rowsData[0])),this.$fastController.isConnected&&this.toggleGeneratedHeader()}columnDefinitionsChanged(){if(this.columnDefinitions===null){this.generatedGridTemplateColumns="";return}this.generatedGridTemplateColumns=Y0.generateTemplateColumns(this.columnDefinitions),this.$fastController.isConnected&&(this.columnDefinitionsStale=!0,this.queueRowIndexUpdate())}headerCellItemTemplateChanged(){this.$fastController.isConnected&&this.generatedHeader!==null&&(this.generatedHeader.headerCellItemTemplate=this.headerCellItemTemplate)}focusRowIndexChanged(){this.$fastController.isConnected&&this.queueFocusUpdate()}focusColumnIndexChanged(){this.$fastController.isConnected&&this.queueFocusUpdate()}connectedCallback(){super.connectedCallback(),this.rowItemTemplate===void 0&&(this.rowItemTemplate=this.defaultRowItemTemplate),this.rowsPlaceholder=document.createComment(""),this.appendChild(this.rowsPlaceholder),this.toggleGeneratedHeader(),this.rowsRepeatBehavior=new RepeatDirective(to=>to.rowsData,to=>to.rowItemTemplate,{positioning:!0}).createBehavior(this.rowsPlaceholder),this.$fastController.addBehaviors([this.rowsRepeatBehavior]),this.addEventListener("row-focused",this.handleRowFocus),this.addEventListener(eventFocus,this.handleFocus),this.addEventListener(eventKeyDown,this.handleKeydown),this.addEventListener(eventFocusOut,this.handleFocusOut),this.observer=new MutationObserver(this.onChildListChange),this.observer.observe(this,{childList:!0}),this.noTabbing&&this.setAttribute("tabindex","-1"),DOM.queueUpdate(this.queueRowIndexUpdate)}disconnectedCallback(){super.disconnectedCallback(),this.removeEventListener("row-focused",this.handleRowFocus),this.removeEventListener(eventFocus,this.handleFocus),this.removeEventListener(eventKeyDown,this.handleKeydown),this.removeEventListener(eventFocusOut,this.handleFocusOut),this.observer.disconnect(),this.rowsPlaceholder=null,this.generatedHeader=null}handleRowFocus(to){this.isUpdatingFocus=!0;const ro=to.target;this.focusRowIndex=this.rowElements.indexOf(ro),this.focusColumnIndex=ro.focusColumnIndex,this.setAttribute("tabIndex","-1"),this.isUpdatingFocus=!1}handleFocus(to){this.focusOnCell(this.focusRowIndex,this.focusColumnIndex,!0)}handleFocusOut(to){(to.relatedTarget===null||!this.contains(to.relatedTarget))&&this.setAttribute("tabIndex",this.noTabbing?"-1":"0")}handleKeydown(to){if(to.defaultPrevented)return;let ro;const no=this.rowElements.length-1,oo=this.offsetHeight+this.scrollTop,io=this.rowElements[no];switch(to.key){case keyArrowUp:to.preventDefault(),this.focusOnCell(this.focusRowIndex-1,this.focusColumnIndex,!0);break;case keyArrowDown:to.preventDefault(),this.focusOnCell(this.focusRowIndex+1,this.focusColumnIndex,!0);break;case keyPageUp:if(to.preventDefault(),this.rowElements.length===0){this.focusOnCell(0,0,!1);break}if(this.focusRowIndex===0){this.focusOnCell(0,this.focusColumnIndex,!1);return}for(ro=this.focusRowIndex-1,ro;ro>=0;ro--){const so=this.rowElements[ro];if(so.offsetTop<this.scrollTop){this.scrollTop=so.offsetTop+so.clientHeight-this.clientHeight;break}}this.focusOnCell(ro,this.focusColumnIndex,!1);break;case keyPageDown:if(to.preventDefault(),this.rowElements.length===0){this.focusOnCell(0,0,!1);break}if(this.focusRowIndex>=no||io.offsetTop+io.offsetHeight<=oo){this.focusOnCell(no,this.focusColumnIndex,!1);return}for(ro=this.focusRowIndex+1,ro;ro<=no;ro++){const so=this.rowElements[ro];if(so.offsetTop+so.offsetHeight>oo){let ao=0;this.generateHeader===GenerateHeaderOptions.sticky&&this.generatedHeader!==null&&(ao=this.generatedHeader.clientHeight),this.scrollTop=so.offsetTop-ao;break}}this.focusOnCell(ro,this.focusColumnIndex,!1);break;case keyHome:to.ctrlKey&&(to.preventDefault(),this.focusOnCell(0,0,!0));break;case keyEnd:to.ctrlKey&&this.columnDefinitions!==null&&(to.preventDefault(),this.focusOnCell(this.rowElements.length-1,this.columnDefinitions.length-1,!0));break}}queueFocusUpdate(){this.isUpdatingFocus&&(this.contains(document.activeElement)||this===document.activeElement)||this.pendingFocusUpdate===!1&&(this.pendingFocusUpdate=!0,DOM.queueUpdate(()=>this.updateFocus()))}updateFocus(){this.pendingFocusUpdate=!1,this.focusOnCell(this.focusRowIndex,this.focusColumnIndex,!0)}toggleGeneratedHeader(){if(this.generatedHeader!==null&&(this.removeChild(this.generatedHeader),this.generatedHeader=null),this.generateHeader!==GenerateHeaderOptions.none&&this.rowsData.length>0){const to=document.createElement(this.rowElementTag);this.generatedHeader=to,this.generatedHeader.columnDefinitions=this.columnDefinitions,this.generatedHeader.gridTemplateColumns=this.gridTemplateColumns,this.generatedHeader.rowType=this.generateHeader===GenerateHeaderOptions.sticky?DataGridRowTypes.stickyHeader:DataGridRowTypes.header,(this.firstChild!==null||this.rowsPlaceholder!==null)&&this.insertBefore(to,this.firstChild!==null?this.firstChild:this.rowsPlaceholder);return}}};DataGrid$1.generateColumns=eo=>Object.getOwnPropertyNames(eo).map((to,ro)=>({columnDataKey:to,gridColumn:`${ro}`}));__decorate([attr({attribute:"no-tabbing",mode:"boolean"})],DataGrid$1.prototype,"noTabbing",void 0);__decorate([attr({attribute:"generate-header"})],DataGrid$1.prototype,"generateHeader",void 0);__decorate([attr({attribute:"grid-template-columns"})],DataGrid$1.prototype,"gridTemplateColumns",void 0);__decorate([observable],DataGrid$1.prototype,"rowsData",void 0);__decorate([observable],DataGrid$1.prototype,"columnDefinitions",void 0);__decorate([observable],DataGrid$1.prototype,"rowItemTemplate",void 0);__decorate([observable],DataGrid$1.prototype,"cellItemTemplate",void 0);__decorate([observable],DataGrid$1.prototype,"headerCellItemTemplate",void 0);__decorate([observable],DataGrid$1.prototype,"focusRowIndex",void 0);__decorate([observable],DataGrid$1.prototype,"focusColumnIndex",void 0);__decorate([observable],DataGrid$1.prototype,"defaultRowItemTemplate",void 0);__decorate([observable],DataGrid$1.prototype,"rowElementTag",void 0);__decorate([observable],DataGrid$1.prototype,"rowElements",void 0);const defaultCellContentsTemplate=html`
+    <template>
+        ${eo=>eo.rowData===null||eo.columnDefinition===null||eo.columnDefinition.columnDataKey===null?null:eo.rowData[eo.columnDefinition.columnDataKey]}
+    </template>
+`,defaultHeaderCellContentsTemplate=html`
+    <template>
+        ${eo=>eo.columnDefinition===null?null:eo.columnDefinition.title===void 0?eo.columnDefinition.columnDataKey:eo.columnDefinition.title}
+    </template>
+`;let DataGridCell$1=class extends FoundationElement{constructor(){super(...arguments),this.cellType=DataGridCellTypes.default,this.rowData=null,this.columnDefinition=null,this.isActiveCell=!1,this.customCellView=null,this.updateCellStyle=()=>{this.style.gridColumn=this.gridColumn}}cellTypeChanged(){this.$fastController.isConnected&&this.updateCellView()}gridColumnChanged(){this.$fastController.isConnected&&this.updateCellStyle()}columnDefinitionChanged(to,ro){this.$fastController.isConnected&&this.updateCellView()}connectedCallback(){var to;super.connectedCallback(),this.addEventListener(eventFocusIn,this.handleFocusin),this.addEventListener(eventFocusOut,this.handleFocusout),this.addEventListener(eventKeyDown,this.handleKeydown),this.style.gridColumn=`${((to=this.columnDefinition)===null||to===void 0?void 0:to.gridColumn)===void 0?0:this.columnDefinition.gridColumn}`,this.updateCellView(),this.updateCellStyle()}disconnectedCallback(){super.disconnectedCallback(),this.removeEventListener(eventFocusIn,this.handleFocusin),this.removeEventListener(eventFocusOut,this.handleFocusout),this.removeEventListener(eventKeyDown,this.handleKeydown),this.disconnectCellView()}handleFocusin(to){if(!this.isActiveCell){switch(this.isActiveCell=!0,this.cellType){case DataGridCellTypes.columnHeader:if(this.columnDefinition!==null&&this.columnDefinition.headerCellInternalFocusQueue!==!0&&typeof this.columnDefinition.headerCellFocusTargetCallback=="function"){const ro=this.columnDefinition.headerCellFocusTargetCallback(this);ro!==null&&ro.focus()}break;default:if(this.columnDefinition!==null&&this.columnDefinition.cellInternalFocusQueue!==!0&&typeof this.columnDefinition.cellFocusTargetCallback=="function"){const ro=this.columnDefinition.cellFocusTargetCallback(this);ro!==null&&ro.focus()}break}this.$emit("cell-focused",this)}}handleFocusout(to){this!==document.activeElement&&!this.contains(document.activeElement)&&(this.isActiveCell=!1)}handleKeydown(to){if(!(to.defaultPrevented||this.columnDefinition===null||this.cellType===DataGridCellTypes.default&&this.columnDefinition.cellInternalFocusQueue!==!0||this.cellType===DataGridCellTypes.columnHeader&&this.columnDefinition.headerCellInternalFocusQueue!==!0))switch(to.key){case keyEnter:case keyFunction2:if(this.contains(document.activeElement)&&document.activeElement!==this)return;switch(this.cellType){case DataGridCellTypes.columnHeader:if(this.columnDefinition.headerCellFocusTargetCallback!==void 0){const ro=this.columnDefinition.headerCellFocusTargetCallback(this);ro!==null&&ro.focus(),to.preventDefault()}break;default:if(this.columnDefinition.cellFocusTargetCallback!==void 0){const ro=this.columnDefinition.cellFocusTargetCallback(this);ro!==null&&ro.focus(),to.preventDefault()}break}break;case keyEscape:this.contains(document.activeElement)&&document.activeElement!==this&&(this.focus(),to.preventDefault());break}}updateCellView(){if(this.disconnectCellView(),this.columnDefinition!==null)switch(this.cellType){case DataGridCellTypes.columnHeader:this.columnDefinition.headerCellTemplate!==void 0?this.customCellView=this.columnDefinition.headerCellTemplate.render(this,this):this.customCellView=defaultHeaderCellContentsTemplate.render(this,this);break;case void 0:case DataGridCellTypes.rowHeader:case DataGridCellTypes.default:this.columnDefinition.cellTemplate!==void 0?this.customCellView=this.columnDefinition.cellTemplate.render(this,this):this.customCellView=defaultCellContentsTemplate.render(this,this);break}}disconnectCellView(){this.customCellView!==null&&(this.customCellView.dispose(),this.customCellView=null)}};__decorate([attr({attribute:"cell-type"})],DataGridCell$1.prototype,"cellType",void 0);__decorate([attr({attribute:"grid-column"})],DataGridCell$1.prototype,"gridColumn",void 0);__decorate([observable],DataGridCell$1.prototype,"rowData",void 0);__decorate([observable],DataGridCell$1.prototype,"columnDefinition",void 0);function createCellItemTemplate(eo){const to=eo.tagFor(DataGridCell$1);return html`
+    <${to}
+        cell-type="${ro=>ro.isRowHeader?"rowheader":void 0}"
+        grid-column="${(ro,no)=>no.index+1}"
+        :rowData="${(ro,no)=>no.parent.rowData}"
+        :columnDefinition="${ro=>ro}"
+    ></${to}>
+`}function createHeaderCellItemTemplate(eo){const to=eo.tagFor(DataGridCell$1);return html`
+    <${to}
+        cell-type="columnheader"
+        grid-column="${(ro,no)=>no.index+1}"
+        :columnDefinition="${ro=>ro}"
+    ></${to}>
+`}const dataGridRowTemplate=(eo,to)=>{const ro=createCellItemTemplate(eo),no=createHeaderCellItemTemplate(eo);return html`
+        <template
+            role="row"
+            class="${oo=>oo.rowType!=="default"?oo.rowType:""}"
+            :defaultCellItemTemplate="${ro}"
+            :defaultHeaderCellItemTemplate="${no}"
+            ${children({property:"cellElements",filter:elements('[role="cell"],[role="gridcell"],[role="columnheader"],[role="rowheader"]')})}
+        >
+            <slot ${slotted("slottedCellElements")}></slot>
+        </template>
+    `},dataGridCellTemplate=(eo,to)=>html`
+        <template
+            tabindex="-1"
+            role="${ro=>!ro.cellType||ro.cellType==="default"?"gridcell":ro.cellType}"
+            class="
+            ${ro=>ro.cellType==="columnheader"?"column-header":ro.cellType==="rowheader"?"row-header":""}
+            "
+        >
+            <slot></slot>
+        </template>
+    `,checkboxTemplate=(eo,to)=>html`
+    <template
+        role="checkbox"
+        aria-checked="${ro=>ro.checked}"
+        aria-required="${ro=>ro.required}"
+        aria-disabled="${ro=>ro.disabled}"
+        aria-readonly="${ro=>ro.readOnly}"
+        tabindex="${ro=>ro.disabled?null:0}"
+        @keypress="${(ro,no)=>ro.keypressHandler(no.event)}"
+        @click="${(ro,no)=>ro.clickHandler(no.event)}"
+        class="${ro=>ro.readOnly?"readonly":""} ${ro=>ro.checked?"checked":""} ${ro=>ro.indeterminate?"indeterminate":""}"
+    >
+        <div part="control" class="control">
+            <slot name="checked-indicator">
+                ${to.checkedIndicator||""}
+            </slot>
+            <slot name="indeterminate-indicator">
+                ${to.indeterminateIndicator||""}
+            </slot>
+        </div>
+        <label
+            part="label"
+            class="${ro=>ro.defaultSlottedNodes&&ro.defaultSlottedNodes.length?"label":"label label__hidden"}"
+        >
+            <slot ${slotted("defaultSlottedNodes")}></slot>
+        </label>
+    </template>
+`;class _Checkbox extends FoundationElement{}class FormAssociatedCheckbox extends CheckableFormAssociated(_Checkbox){constructor(){super(...arguments),this.proxy=document.createElement("input")}}let Checkbox$1=class extends FormAssociatedCheckbox{constructor(){super(),this.initialValue="on",this.indeterminate=!1,this.keypressHandler=to=>{if(!this.readOnly)switch(to.key){case keySpace:this.indeterminate&&(this.indeterminate=!1),this.checked=!this.checked;break}},this.clickHandler=to=>{!this.disabled&&!this.readOnly&&(this.indeterminate&&(this.indeterminate=!1),this.checked=!this.checked)},this.proxy.setAttribute("type","checkbox")}readOnlyChanged(){this.proxy instanceof HTMLInputElement&&(this.proxy.readOnly=this.readOnly)}};__decorate([attr({attribute:"readonly",mode:"boolean"})],Checkbox$1.prototype,"readOnly",void 0);__decorate([observable],Checkbox$1.prototype,"defaultSlottedNodes",void 0);__decorate([observable],Checkbox$1.prototype,"indeterminate",void 0);function isListboxOption(eo){return isHTMLElement$3(eo)&&(eo.getAttribute("role")==="option"||eo instanceof HTMLOptionElement)}class ListboxOption extends FoundationElement{constructor(to,ro,no,oo){super(),this.defaultSelected=!1,this.dirtySelected=!1,this.selected=this.defaultSelected,this.dirtyValue=!1,to&&(this.textContent=to),ro&&(this.initialValue=ro),no&&(this.defaultSelected=no),oo&&(this.selected=oo),this.proxy=new Option(`${this.textContent}`,this.initialValue,this.defaultSelected,this.selected),this.proxy.disabled=this.disabled}checkedChanged(to,ro){if(typeof ro=="boolean"){this.ariaChecked=ro?"true":"false";return}this.ariaChecked=null}contentChanged(to,ro){this.proxy instanceof HTMLOptionElement&&(this.proxy.textContent=this.textContent),this.$emit("contentchange",null,{bubbles:!0})}defaultSelectedChanged(){this.dirtySelected||(this.selected=this.defaultSelected,this.proxy instanceof HTMLOptionElement&&(this.proxy.selected=this.defaultSelected))}disabledChanged(to,ro){this.ariaDisabled=this.disabled?"true":"false",this.proxy instanceof HTMLOptionElement&&(this.proxy.disabled=this.disabled)}selectedAttributeChanged(){this.defaultSelected=this.selectedAttribute,this.proxy instanceof HTMLOptionElement&&(this.proxy.defaultSelected=this.defaultSelected)}selectedChanged(){this.ariaSelected=this.selected?"true":"false",this.dirtySelected||(this.dirtySelected=!0),this.proxy instanceof HTMLOptionElement&&(this.proxy.selected=this.selected)}initialValueChanged(to,ro){this.dirtyValue||(this.value=this.initialValue,this.dirtyValue=!1)}get label(){var to;return(to=this.value)!==null&&to!==void 0?to:this.text}get text(){var to,ro;return(ro=(to=this.textContent)===null||to===void 0?void 0:to.replace(/\s+/g," ").trim())!==null&&ro!==void 0?ro:""}set value(to){const ro=`${to??""}`;this._value=ro,this.dirtyValue=!0,this.proxy instanceof HTMLOptionElement&&(this.proxy.value=ro),Observable$1.notify(this,"value")}get value(){var to;return Observable$1.track(this,"value"),(to=this._value)!==null&&to!==void 0?to:this.text}get form(){return this.proxy?this.proxy.form:null}}__decorate([observable],ListboxOption.prototype,"checked",void 0);__decorate([observable],ListboxOption.prototype,"content",void 0);__decorate([observable],ListboxOption.prototype,"defaultSelected",void 0);__decorate([attr({mode:"boolean"})],ListboxOption.prototype,"disabled",void 0);__decorate([attr({attribute:"selected",mode:"boolean"})],ListboxOption.prototype,"selectedAttribute",void 0);__decorate([observable],ListboxOption.prototype,"selected",void 0);__decorate([attr({attribute:"value",mode:"fromView"})],ListboxOption.prototype,"initialValue",void 0);class DelegatesARIAListboxOption{}__decorate([observable],DelegatesARIAListboxOption.prototype,"ariaChecked",void 0);__decorate([observable],DelegatesARIAListboxOption.prototype,"ariaPosInSet",void 0);__decorate([observable],DelegatesARIAListboxOption.prototype,"ariaSelected",void 0);__decorate([observable],DelegatesARIAListboxOption.prototype,"ariaSetSize",void 0);applyMixins(DelegatesARIAListboxOption,ARIAGlobalStatesAndProperties);applyMixins(ListboxOption,StartEnd,DelegatesARIAListboxOption);class Listbox extends FoundationElement{constructor(){super(...arguments),this._options=[],this.selectedIndex=-1,this.selectedOptions=[],this.shouldSkipFocus=!1,this.typeaheadBuffer="",this.typeaheadExpired=!0,this.typeaheadTimeout=-1}get firstSelectedOption(){var to;return(to=this.selectedOptions[0])!==null&&to!==void 0?to:null}get hasSelectableOptions(){return this.options.length>0&&!this.options.every(to=>to.disabled)}get length(){var to,ro;return(ro=(to=this.options)===null||to===void 0?void 0:to.length)!==null&&ro!==void 0?ro:0}get options(){return Observable$1.track(this,"options"),this._options}set options(to){this._options=to,Observable$1.notify(this,"options")}get typeAheadExpired(){return this.typeaheadExpired}set typeAheadExpired(to){this.typeaheadExpired=to}clickHandler(to){const ro=to.target.closest("option,[role=option]");if(ro&&!ro.disabled)return this.selectedIndex=this.options.indexOf(ro),!0}focusAndScrollOptionIntoView(to=this.firstSelectedOption){this.contains(document.activeElement)&&to!==null&&(to.focus(),requestAnimationFrame(()=>{to.scrollIntoView({block:"nearest"})}))}focusinHandler(to){!this.shouldSkipFocus&&to.target===to.currentTarget&&(this.setSelectedOptions(),this.focusAndScrollOptionIntoView()),this.shouldSkipFocus=!1}getTypeaheadMatches(){const to=this.typeaheadBuffer.replace(/[.*+\-?^${}()|[\]\\]/g,"\\$&"),ro=new RegExp(`^${to}`,"gi");return this.options.filter(no=>no.text.trim().match(ro))}getSelectableIndex(to=this.selectedIndex,ro){const no=to>ro?-1:to<ro?1:0,oo=to+no;let io=null;switch(no){case-1:{io=this.options.reduceRight((so,ao,lo)=>!so&&!ao.disabled&&lo<oo?ao:so,io);break}case 1:{io=this.options.reduce((so,ao,lo)=>!so&&!ao.disabled&&lo>oo?ao:so,io);break}}return this.options.indexOf(io)}handleChange(to,ro){switch(ro){case"selected":{Listbox.slottedOptionFilter(to)&&(this.selectedIndex=this.options.indexOf(to)),this.setSelectedOptions();break}}}handleTypeAhead(to){this.typeaheadTimeout&&window.clearTimeout(this.typeaheadTimeout),this.typeaheadTimeout=window.setTimeout(()=>this.typeaheadExpired=!0,Listbox.TYPE_AHEAD_TIMEOUT_MS),!(to.length>1)&&(this.typeaheadBuffer=`${this.typeaheadExpired?"":this.typeaheadBuffer}${to}`)}keydownHandler(to){if(this.disabled)return!0;this.shouldSkipFocus=!1;const ro=to.key;switch(ro){case keyHome:{to.shiftKey||(to.preventDefault(),this.selectFirstOption());break}case keyArrowDown:{to.shiftKey||(to.preventDefault(),this.selectNextOption());break}case keyArrowUp:{to.shiftKey||(to.preventDefault(),this.selectPreviousOption());break}case keyEnd:{to.preventDefault(),this.selectLastOption();break}case keyTab:return this.focusAndScrollOptionIntoView(),!0;case keyEnter:case keyEscape:return!0;case keySpace:if(this.typeaheadExpired)return!0;default:return ro.length===1&&this.handleTypeAhead(`${ro}`),!0}}mousedownHandler(to){return this.shouldSkipFocus=!this.contains(document.activeElement),!0}multipleChanged(to,ro){this.ariaMultiSelectable=ro?"true":null}selectedIndexChanged(to,ro){var no;if(!this.hasSelectableOptions){this.selectedIndex=-1;return}if(!((no=this.options[this.selectedIndex])===null||no===void 0)&&no.disabled&&typeof to=="number"){const oo=this.getSelectableIndex(to,ro),io=oo>-1?oo:to;this.selectedIndex=io,ro===io&&this.selectedIndexChanged(ro,io);return}this.setSelectedOptions()}selectedOptionsChanged(to,ro){var no;const oo=ro.filter(Listbox.slottedOptionFilter);(no=this.options)===null||no===void 0||no.forEach(io=>{const so=Observable$1.getNotifier(io);so.unsubscribe(this,"selected"),io.selected=oo.includes(io),so.subscribe(this,"selected")})}selectFirstOption(){var to,ro;this.disabled||(this.selectedIndex=(ro=(to=this.options)===null||to===void 0?void 0:to.findIndex(no=>!no.disabled))!==null&&ro!==void 0?ro:-1)}selectLastOption(){this.disabled||(this.selectedIndex=findLastIndex(this.options,to=>!to.disabled))}selectNextOption(){!this.disabled&&this.selectedIndex<this.options.length-1&&(this.selectedIndex+=1)}selectPreviousOption(){!this.disabled&&this.selectedIndex>0&&(this.selectedIndex=this.selectedIndex-1)}setDefaultSelectedOption(){var to,ro;this.selectedIndex=(ro=(to=this.options)===null||to===void 0?void 0:to.findIndex(no=>no.defaultSelected))!==null&&ro!==void 0?ro:-1}setSelectedOptions(){var to,ro,no;!((to=this.options)===null||to===void 0)&&to.length&&(this.selectedOptions=[this.options[this.selectedIndex]],this.ariaActiveDescendant=(no=(ro=this.firstSelectedOption)===null||ro===void 0?void 0:ro.id)!==null&&no!==void 0?no:"",this.focusAndScrollOptionIntoView())}slottedOptionsChanged(to,ro){this.options=ro.reduce((oo,io)=>(isListboxOption(io)&&oo.push(io),oo),[]);const no=`${this.options.length}`;this.options.forEach((oo,io)=>{oo.id||(oo.id=uniqueId("option-")),oo.ariaPosInSet=`${io+1}`,oo.ariaSetSize=no}),this.$fastController.isConnected&&(this.setSelectedOptions(),this.setDefaultSelectedOption())}typeaheadBufferChanged(to,ro){if(this.$fastController.isConnected){const no=this.getTypeaheadMatches();if(no.length){const oo=this.options.indexOf(no[0]);oo>-1&&(this.selectedIndex=oo)}this.typeaheadExpired=!1}}}Listbox.slottedOptionFilter=eo=>isListboxOption(eo)&&!eo.hidden;Listbox.TYPE_AHEAD_TIMEOUT_MS=1e3;__decorate([attr({mode:"boolean"})],Listbox.prototype,"disabled",void 0);__decorate([observable],Listbox.prototype,"selectedIndex",void 0);__decorate([observable],Listbox.prototype,"selectedOptions",void 0);__decorate([observable],Listbox.prototype,"slottedOptions",void 0);__decorate([observable],Listbox.prototype,"typeaheadBuffer",void 0);class DelegatesARIAListbox{}__decorate([observable],DelegatesARIAListbox.prototype,"ariaActiveDescendant",void 0);__decorate([observable],DelegatesARIAListbox.prototype,"ariaDisabled",void 0);__decorate([observable],DelegatesARIAListbox.prototype,"ariaExpanded",void 0);__decorate([observable],DelegatesARIAListbox.prototype,"ariaMultiSelectable",void 0);applyMixins(DelegatesARIAListbox,ARIAGlobalStatesAndProperties);applyMixins(Listbox,DelegatesARIAListbox);const SelectPosition={above:"above",below:"below"};function composedParent(eo){const to=eo.parentElement;if(to)return to;{const ro=eo.getRootNode();if(ro.host instanceof HTMLElement)return ro.host}return null}function composedContains(eo,to){let ro=to;for(;ro!==null;){if(ro===eo)return!0;ro=composedParent(ro)}return!1}const defaultElement=document.createElement("div");function isFastElement(eo){return eo instanceof FASTElement}class QueuedStyleSheetTarget{setProperty(to,ro){DOM.queueUpdate(()=>this.target.setProperty(to,ro))}removeProperty(to){DOM.queueUpdate(()=>this.target.removeProperty(to))}}class ConstructableStyleSheetTarget extends QueuedStyleSheetTarget{constructor(to){super();const ro=new CSSStyleSheet;this.target=ro.cssRules[ro.insertRule(":host{}")].style,to.$fastController.addStyles(ElementStyles.create([ro]))}}class DocumentStyleSheetTarget extends QueuedStyleSheetTarget{constructor(){super();const to=new CSSStyleSheet;this.target=to.cssRules[to.insertRule(":root{}")].style,document.adoptedStyleSheets=[...document.adoptedStyleSheets,to]}}class HeadStyleElementStyleSheetTarget extends QueuedStyleSheetTarget{constructor(){super(),this.style=document.createElement("style"),document.head.appendChild(this.style);const{sheet:to}=this.style;if(to){const ro=to.insertRule(":root{}",to.cssRules.length);this.target=to.cssRules[ro].style}}}class StyleElementStyleSheetTarget{constructor(to){this.store=new Map,this.target=null;const ro=to.$fastController;this.style=document.createElement("style"),ro.addStyles(this.style),Observable$1.getNotifier(ro).subscribe(this,"isConnected"),this.handleChange(ro,"isConnected")}targetChanged(){if(this.target!==null)for(const[to,ro]of this.store.entries())this.target.setProperty(to,ro)}setProperty(to,ro){this.store.set(to,ro),DOM.queueUpdate(()=>{this.target!==null&&this.target.setProperty(to,ro)})}removeProperty(to){this.store.delete(to),DOM.queueUpdate(()=>{this.target!==null&&this.target.removeProperty(to)})}handleChange(to,ro){const{sheet:no}=this.style;if(no){const oo=no.insertRule(":host{}",no.cssRules.length);this.target=no.cssRules[oo].style}else this.target=null}}__decorate([observable],StyleElementStyleSheetTarget.prototype,"target",void 0);class ElementStyleSheetTarget{constructor(to){this.target=to.style}setProperty(to,ro){DOM.queueUpdate(()=>this.target.setProperty(to,ro))}removeProperty(to){DOM.queueUpdate(()=>this.target.removeProperty(to))}}class RootStyleSheetTarget{setProperty(to,ro){RootStyleSheetTarget.properties[to]=ro;for(const no of RootStyleSheetTarget.roots.values())PropertyTargetManager.getOrCreate(RootStyleSheetTarget.normalizeRoot(no)).setProperty(to,ro)}removeProperty(to){delete RootStyleSheetTarget.properties[to];for(const ro of RootStyleSheetTarget.roots.values())PropertyTargetManager.getOrCreate(RootStyleSheetTarget.normalizeRoot(ro)).removeProperty(to)}static registerRoot(to){const{roots:ro}=RootStyleSheetTarget;if(!ro.has(to)){ro.add(to);const no=PropertyTargetManager.getOrCreate(this.normalizeRoot(to));for(const oo in RootStyleSheetTarget.properties)no.setProperty(oo,RootStyleSheetTarget.properties[oo])}}static unregisterRoot(to){const{roots:ro}=RootStyleSheetTarget;if(ro.has(to)){ro.delete(to);const no=PropertyTargetManager.getOrCreate(RootStyleSheetTarget.normalizeRoot(to));for(const oo in RootStyleSheetTarget.properties)no.removeProperty(oo)}}static normalizeRoot(to){return to===defaultElement?document:to}}RootStyleSheetTarget.roots=new Set;RootStyleSheetTarget.properties={};const propertyTargetCache=new WeakMap,propertyTargetCtor=DOM.supportsAdoptedStyleSheets?ConstructableStyleSheetTarget:StyleElementStyleSheetTarget,PropertyTargetManager=Object.freeze({getOrCreate(eo){if(propertyTargetCache.has(eo))return propertyTargetCache.get(eo);let to;return eo===defaultElement?to=new RootStyleSheetTarget:eo instanceof Document?to=DOM.supportsAdoptedStyleSheets?new DocumentStyleSheetTarget:new HeadStyleElementStyleSheetTarget:isFastElement(eo)?to=new propertyTargetCtor(eo):to=new ElementStyleSheetTarget(eo),propertyTargetCache.set(eo,to),to}});class DesignTokenImpl extends CSSDirective{constructor(to){super(),this.subscribers=new WeakMap,this._appliedTo=new Set,this.name=to.name,to.cssCustomPropertyName!==null&&(this.cssCustomProperty=`--${to.cssCustomPropertyName}`,this.cssVar=`var(${this.cssCustomProperty})`),this.id=DesignTokenImpl.uniqueId(),DesignTokenImpl.tokensById.set(this.id,this)}get appliedTo(){return[...this._appliedTo]}static from(to){return new DesignTokenImpl({name:typeof to=="string"?to:to.name,cssCustomPropertyName:typeof to=="string"?to:to.cssCustomPropertyName===void 0?to.name:to.cssCustomPropertyName})}static isCSSDesignToken(to){return typeof to.cssCustomProperty=="string"}static isDerivedDesignTokenValue(to){return typeof to=="function"}static getTokenById(to){return DesignTokenImpl.tokensById.get(to)}getOrCreateSubscriberSet(to=this){return this.subscribers.get(to)||this.subscribers.set(to,new Set)&&this.subscribers.get(to)}createCSS(){return this.cssVar||""}getValueFor(to){const ro=DesignTokenNode.getOrCreate(to).get(this);if(ro!==void 0)return ro;throw new Error(`Value could not be retrieved for token named "${this.name}". Ensure the value is set for ${to} or an ancestor of ${to}.`)}setValueFor(to,ro){return this._appliedTo.add(to),ro instanceof DesignTokenImpl&&(ro=this.alias(ro)),DesignTokenNode.getOrCreate(to).set(this,ro),this}deleteValueFor(to){return this._appliedTo.delete(to),DesignTokenNode.existsFor(to)&&DesignTokenNode.getOrCreate(to).delete(this),this}withDefault(to){return this.setValueFor(defaultElement,to),this}subscribe(to,ro){const no=this.getOrCreateSubscriberSet(ro);ro&&!DesignTokenNode.existsFor(ro)&&DesignTokenNode.getOrCreate(ro),no.has(to)||no.add(to)}unsubscribe(to,ro){const no=this.subscribers.get(ro||this);no&&no.has(to)&&no.delete(to)}notify(to){const ro=Object.freeze({token:this,target:to});this.subscribers.has(this)&&this.subscribers.get(this).forEach(no=>no.handleChange(ro)),this.subscribers.has(to)&&this.subscribers.get(to).forEach(no=>no.handleChange(ro))}alias(to){return ro=>to.getValueFor(ro)}}DesignTokenImpl.uniqueId=(()=>{let eo=0;return()=>(eo++,eo.toString(16))})();DesignTokenImpl.tokensById=new Map;class CustomPropertyReflector{startReflection(to,ro){to.subscribe(this,ro),this.handleChange({token:to,target:ro})}stopReflection(to,ro){to.unsubscribe(this,ro),this.remove(to,ro)}handleChange(to){const{token:ro,target:no}=to;this.add(ro,no)}add(to,ro){PropertyTargetManager.getOrCreate(ro).setProperty(to.cssCustomProperty,this.resolveCSSValue(DesignTokenNode.getOrCreate(ro).get(to)))}remove(to,ro){PropertyTargetManager.getOrCreate(ro).removeProperty(to.cssCustomProperty)}resolveCSSValue(to){return to&&typeof to.createCSS=="function"?to.createCSS():to}}class DesignTokenBindingObserver{constructor(to,ro,no){this.source=to,this.token=ro,this.node=no,this.dependencies=new Set,this.observer=Observable$1.binding(to,this,!1),this.observer.handleChange=this.observer.call,this.handleChange()}disconnect(){this.observer.disconnect()}handleChange(){this.node.store.set(this.token,this.observer.observe(this.node.target,defaultExecutionContext))}}class Store{constructor(){this.values=new Map}set(to,ro){this.values.get(to)!==ro&&(this.values.set(to,ro),Observable$1.getNotifier(this).notify(to.id))}get(to){return Observable$1.track(this,to.id),this.values.get(to)}delete(to){this.values.delete(to)}all(){return this.values.entries()}}const nodeCache=new WeakMap,childToParent=new WeakMap;class DesignTokenNode{constructor(to){this.target=to,this.store=new Store,this.children=[],this.assignedValues=new Map,this.reflecting=new Set,this.bindingObservers=new Map,this.tokenValueChangeHandler={handleChange:(ro,no)=>{const oo=DesignTokenImpl.getTokenById(no);if(oo&&(oo.notify(this.target),DesignTokenImpl.isCSSDesignToken(oo))){const io=this.parent,so=this.isReflecting(oo);if(io){const ao=io.get(oo),lo=ro.get(oo);ao!==lo&&!so?this.reflectToCSS(oo):ao===lo&&so&&this.stopReflectToCSS(oo)}else so||this.reflectToCSS(oo)}}},nodeCache.set(to,this),Observable$1.getNotifier(this.store).subscribe(this.tokenValueChangeHandler),to instanceof FASTElement?to.$fastController.addBehaviors([this]):to.isConnected&&this.bind()}static getOrCreate(to){return nodeCache.get(to)||new DesignTokenNode(to)}static existsFor(to){return nodeCache.has(to)}static findParent(to){if(defaultElement!==to.target){let ro=composedParent(to.target);for(;ro!==null;){if(nodeCache.has(ro))return nodeCache.get(ro);ro=composedParent(ro)}return DesignTokenNode.getOrCreate(defaultElement)}return null}static findClosestAssignedNode(to,ro){let no=ro;do{if(no.has(to))return no;no=no.parent?no.parent:no.target!==defaultElement?DesignTokenNode.getOrCreate(defaultElement):null}while(no!==null);return null}get parent(){return childToParent.get(this)||null}has(to){return this.assignedValues.has(to)}get(to){const ro=this.store.get(to);if(ro!==void 0)return ro;const no=this.getRaw(to);if(no!==void 0)return this.hydrate(to,no),this.get(to)}getRaw(to){var ro;return this.assignedValues.has(to)?this.assignedValues.get(to):(ro=DesignTokenNode.findClosestAssignedNode(to,this))===null||ro===void 0?void 0:ro.getRaw(to)}set(to,ro){DesignTokenImpl.isDerivedDesignTokenValue(this.assignedValues.get(to))&&this.tearDownBindingObserver(to),this.assignedValues.set(to,ro),DesignTokenImpl.isDerivedDesignTokenValue(ro)?this.setupBindingObserver(to,ro):this.store.set(to,ro)}delete(to){this.assignedValues.delete(to),this.tearDownBindingObserver(to);const ro=this.getRaw(to);ro?this.hydrate(to,ro):this.store.delete(to)}bind(){const to=DesignTokenNode.findParent(this);to&&to.appendChild(this);for(const ro of this.assignedValues.keys())ro.notify(this.target)}unbind(){this.parent&&childToParent.get(this).removeChild(this)}appendChild(to){to.parent&&childToParent.get(to).removeChild(to);const ro=this.children.filter(no=>to.contains(no));childToParent.set(to,this),this.children.push(to),ro.forEach(no=>to.appendChild(no)),Observable$1.getNotifier(this.store).subscribe(to);for(const[no,oo]of this.store.all())to.hydrate(no,this.bindingObservers.has(no)?this.getRaw(no):oo)}removeChild(to){const ro=this.children.indexOf(to);return ro!==-1&&this.children.splice(ro,1),Observable$1.getNotifier(this.store).unsubscribe(to),to.parent===this?childToParent.delete(to):!1}contains(to){return composedContains(this.target,to.target)}reflectToCSS(to){this.isReflecting(to)||(this.reflecting.add(to),DesignTokenNode.cssCustomPropertyReflector.startReflection(to,this.target))}stopReflectToCSS(to){this.isReflecting(to)&&(this.reflecting.delete(to),DesignTokenNode.cssCustomPropertyReflector.stopReflection(to,this.target))}isReflecting(to){return this.reflecting.has(to)}handleChange(to,ro){const no=DesignTokenImpl.getTokenById(ro);no&&this.hydrate(no,this.getRaw(no))}hydrate(to,ro){if(!this.has(to)){const no=this.bindingObservers.get(to);DesignTokenImpl.isDerivedDesignTokenValue(ro)?no?no.source!==ro&&(this.tearDownBindingObserver(to),this.setupBindingObserver(to,ro)):this.setupBindingObserver(to,ro):(no&&this.tearDownBindingObserver(to),this.store.set(to,ro))}}setupBindingObserver(to,ro){const no=new DesignTokenBindingObserver(ro,to,this);return this.bindingObservers.set(to,no),no}tearDownBindingObserver(to){return this.bindingObservers.has(to)?(this.bindingObservers.get(to).disconnect(),this.bindingObservers.delete(to),!0):!1}}DesignTokenNode.cssCustomPropertyReflector=new CustomPropertyReflector;__decorate([observable],DesignTokenNode.prototype,"children",void 0);function create$2(eo){return DesignTokenImpl.from(eo)}const DesignToken=Object.freeze({create:create$2,notifyConnection(eo){return!eo.isConnected||!DesignTokenNode.existsFor(eo)?!1:(DesignTokenNode.getOrCreate(eo).bind(),!0)},notifyDisconnection(eo){return eo.isConnected||!DesignTokenNode.existsFor(eo)?!1:(DesignTokenNode.getOrCreate(eo).unbind(),!0)},registerRoot(eo=defaultElement){RootStyleSheetTarget.registerRoot(eo)},unregisterRoot(eo=defaultElement){RootStyleSheetTarget.unregisterRoot(eo)}}),ElementDisambiguation=Object.freeze({definitionCallbackOnly:null,ignoreDuplicate:Symbol()}),elementTypesByTag=new Map,elementTagsByType=new Map;let rootDesignSystem=null;const designSystemKey=DI.createInterface(eo=>eo.cachedCallback(to=>(rootDesignSystem===null&&(rootDesignSystem=new DefaultDesignSystem(null,to)),rootDesignSystem))),DesignSystem=Object.freeze({tagFor(eo){return elementTagsByType.get(eo)},responsibleFor(eo){const to=eo.$$designSystem$$;return to||DI.findResponsibleContainer(eo).get(designSystemKey)},getOrCreate(eo){if(!eo)return rootDesignSystem===null&&(rootDesignSystem=DI.getOrCreateDOMContainer().get(designSystemKey)),rootDesignSystem;const to=eo.$$designSystem$$;if(to)return to;const ro=DI.getOrCreateDOMContainer(eo);if(ro.has(designSystemKey,!1))return ro.get(designSystemKey);{const no=new DefaultDesignSystem(eo,ro);return ro.register(Registration.instance(designSystemKey,no)),no}}});function extractTryDefineElementParams(eo,to,ro){return typeof eo=="string"?{name:eo,type:to,callback:ro}:eo}class DefaultDesignSystem{constructor(to,ro){this.owner=to,this.container=ro,this.designTokensInitialized=!1,this.prefix="fast",this.shadowRootMode=void 0,this.disambiguate=()=>ElementDisambiguation.definitionCallbackOnly,to!==null&&(to.$$designSystem$$=this)}withPrefix(to){return this.prefix=to,this}withShadowRootMode(to){return this.shadowRootMode=to,this}withElementDisambiguation(to){return this.disambiguate=to,this}withDesignTokenRoot(to){return this.designTokenRoot=to,this}register(...to){const ro=this.container,no=[],oo=this.disambiguate,io=this.shadowRootMode,so={elementPrefix:this.prefix,tryDefineElement(ao,lo,uo){const co=extractTryDefineElementParams(ao,lo,uo),{name:fo,callback:ho,baseClass:po}=co;let{type:go}=co,vo=fo,bo=elementTypesByTag.get(vo),xo=!0;for(;bo;){const _o=oo(vo,go,bo);switch(_o){case ElementDisambiguation.ignoreDuplicate:return;case ElementDisambiguation.definitionCallbackOnly:xo=!1,bo=void 0;break;default:vo=_o,bo=elementTypesByTag.get(vo);break}}xo&&((elementTagsByType.has(go)||go===FoundationElement)&&(go=class extends go{}),elementTypesByTag.set(vo,go),elementTagsByType.set(go,vo),po&&elementTagsByType.set(po,vo)),no.push(new ElementDefinitionEntry(ro,vo,go,io,ho,xo))}};this.designTokensInitialized||(this.designTokensInitialized=!0,this.designTokenRoot!==null&&DesignToken.registerRoot(this.designTokenRoot)),ro.registerWithContext(so,...to);for(const ao of no)ao.callback(ao),ao.willDefine&&ao.definition!==null&&ao.definition.define();return this}}class ElementDefinitionEntry{constructor(to,ro,no,oo,io,so){this.container=to,this.name=ro,this.type=no,this.shadowRootMode=oo,this.callback=io,this.willDefine=so,this.definition=null}definePresentation(to){ComponentPresentation.define(this.name,to,this.container)}defineElement(to){this.definition=new FASTElementDefinition(this.type,Object.assign(Object.assign({},to),{name:this.name}))}tagFor(to){return DesignSystem.tagFor(to)}}const dividerTemplate=(eo,to)=>html`
+    <template role="${ro=>ro.role}" aria-orientation="${ro=>ro.orientation}"></template>
+`,DividerRole={separator:"separator",presentation:"presentation"};let Divider$1=class extends FoundationElement{constructor(){super(...arguments),this.role=DividerRole.separator,this.orientation=Orientation.horizontal}};__decorate([attr],Divider$1.prototype,"role",void 0);__decorate([attr],Divider$1.prototype,"orientation",void 0);const listboxOptionTemplate=(eo,to)=>html`
+    <template
+        aria-checked="${ro=>ro.ariaChecked}"
+        aria-disabled="${ro=>ro.ariaDisabled}"
+        aria-posinset="${ro=>ro.ariaPosInSet}"
+        aria-selected="${ro=>ro.ariaSelected}"
+        aria-setsize="${ro=>ro.ariaSetSize}"
+        class="${ro=>[ro.checked&&"checked",ro.selected&&"selected",ro.disabled&&"disabled"].filter(Boolean).join(" ")}"
+        role="option"
+    >
+        ${startSlotTemplate(eo,to)}
+        <span class="content" part="content">
+            <slot ${slotted("content")}></slot>
+        </span>
+        ${endSlotTemplate(eo,to)}
+    </template>
+`;class ListboxElement extends Listbox{constructor(){super(...arguments),this.activeIndex=-1,this.rangeStartIndex=-1}get activeOption(){return this.options[this.activeIndex]}get checkedOptions(){var to;return(to=this.options)===null||to===void 0?void 0:to.filter(ro=>ro.checked)}get firstSelectedOptionIndex(){return this.options.indexOf(this.firstSelectedOption)}activeIndexChanged(to,ro){var no,oo;this.ariaActiveDescendant=(oo=(no=this.options[ro])===null||no===void 0?void 0:no.id)!==null&&oo!==void 0?oo:"",this.focusAndScrollOptionIntoView()}checkActiveIndex(){if(!this.multiple)return;const to=this.activeOption;to&&(to.checked=!0)}checkFirstOption(to=!1){to?(this.rangeStartIndex===-1&&(this.rangeStartIndex=this.activeIndex+1),this.options.forEach((ro,no)=>{ro.checked=inRange(no,this.rangeStartIndex)})):this.uncheckAllOptions(),this.activeIndex=0,this.checkActiveIndex()}checkLastOption(to=!1){to?(this.rangeStartIndex===-1&&(this.rangeStartIndex=this.activeIndex),this.options.forEach((ro,no)=>{ro.checked=inRange(no,this.rangeStartIndex,this.options.length)})):this.uncheckAllOptions(),this.activeIndex=this.options.length-1,this.checkActiveIndex()}connectedCallback(){super.connectedCallback(),this.addEventListener("focusout",this.focusoutHandler)}disconnectedCallback(){this.removeEventListener("focusout",this.focusoutHandler),super.disconnectedCallback()}checkNextOption(to=!1){to?(this.rangeStartIndex===-1&&(this.rangeStartIndex=this.activeIndex),this.options.forEach((ro,no)=>{ro.checked=inRange(no,this.rangeStartIndex,this.activeIndex+1)})):this.uncheckAllOptions(),this.activeIndex+=this.activeIndex<this.options.length-1?1:0,this.checkActiveIndex()}checkPreviousOption(to=!1){to?(this.rangeStartIndex===-1&&(this.rangeStartIndex=this.activeIndex),this.checkedOptions.length===1&&(this.rangeStartIndex+=1),this.options.forEach((ro,no)=>{ro.checked=inRange(no,this.activeIndex,this.rangeStartIndex)})):this.uncheckAllOptions(),this.activeIndex-=this.activeIndex>0?1:0,this.checkActiveIndex()}clickHandler(to){var ro;if(!this.multiple)return super.clickHandler(to);const no=(ro=to.target)===null||ro===void 0?void 0:ro.closest("[role=option]");if(!(!no||no.disabled))return this.uncheckAllOptions(),this.activeIndex=this.options.indexOf(no),this.checkActiveIndex(),this.toggleSelectedForAllCheckedOptions(),!0}focusAndScrollOptionIntoView(){super.focusAndScrollOptionIntoView(this.activeOption)}focusinHandler(to){if(!this.multiple)return super.focusinHandler(to);!this.shouldSkipFocus&&to.target===to.currentTarget&&(this.uncheckAllOptions(),this.activeIndex===-1&&(this.activeIndex=this.firstSelectedOptionIndex!==-1?this.firstSelectedOptionIndex:0),this.checkActiveIndex(),this.setSelectedOptions(),this.focusAndScrollOptionIntoView()),this.shouldSkipFocus=!1}focusoutHandler(to){this.multiple&&this.uncheckAllOptions()}keydownHandler(to){if(!this.multiple)return super.keydownHandler(to);if(this.disabled)return!0;const{key:ro,shiftKey:no}=to;switch(this.shouldSkipFocus=!1,ro){case keyHome:{this.checkFirstOption(no);return}case keyArrowDown:{this.checkNextOption(no);return}case keyArrowUp:{this.checkPreviousOption(no);return}case keyEnd:{this.checkLastOption(no);return}case keyTab:return this.focusAndScrollOptionIntoView(),!0;case keyEscape:return this.uncheckAllOptions(),this.checkActiveIndex(),!0;case keySpace:if(to.preventDefault(),this.typeAheadExpired){this.toggleSelectedForAllCheckedOptions();return}default:return ro.length===1&&this.handleTypeAhead(`${ro}`),!0}}mousedownHandler(to){if(to.offsetX>=0&&to.offsetX<=this.scrollWidth)return super.mousedownHandler(to)}multipleChanged(to,ro){var no;this.ariaMultiSelectable=ro?"true":null,(no=this.options)===null||no===void 0||no.forEach(oo=>{oo.checked=ro?!1:void 0}),this.setSelectedOptions()}setSelectedOptions(){if(!this.multiple){super.setSelectedOptions();return}this.$fastController.isConnected&&this.options&&(this.selectedOptions=this.options.filter(to=>to.selected),this.focusAndScrollOptionIntoView())}sizeChanged(to,ro){var no;const oo=Math.max(0,parseInt((no=ro==null?void 0:ro.toFixed())!==null&&no!==void 0?no:"",10));oo!==ro&&DOM.queueUpdate(()=>{this.size=oo})}toggleSelectedForAllCheckedOptions(){const to=this.checkedOptions.filter(no=>!no.disabled),ro=!to.every(no=>no.selected);to.forEach(no=>no.selected=ro),this.selectedIndex=this.options.indexOf(to[to.length-1]),this.setSelectedOptions()}typeaheadBufferChanged(to,ro){if(!this.multiple){super.typeaheadBufferChanged(to,ro);return}if(this.$fastController.isConnected){const no=this.getTypeaheadMatches(),oo=this.options.indexOf(no[0]);oo>-1&&(this.activeIndex=oo,this.uncheckAllOptions(),this.checkActiveIndex()),this.typeAheadExpired=!1}}uncheckAllOptions(to=!1){this.options.forEach(ro=>ro.checked=this.multiple?!1:void 0),to||(this.rangeStartIndex=-1)}}__decorate([observable],ListboxElement.prototype,"activeIndex",void 0);__decorate([attr({mode:"boolean"})],ListboxElement.prototype,"multiple",void 0);__decorate([attr({converter:nullableNumberConverter})],ListboxElement.prototype,"size",void 0);class _TextField extends FoundationElement{}class FormAssociatedTextField extends FormAssociated(_TextField){constructor(){super(...arguments),this.proxy=document.createElement("input")}}const TextFieldType={email:"email",password:"password",tel:"tel",text:"text",url:"url"};let TextField$1=class extends FormAssociatedTextField{constructor(){super(...arguments),this.type=TextFieldType.text}readOnlyChanged(){this.proxy instanceof HTMLInputElement&&(this.proxy.readOnly=this.readOnly,this.validate())}autofocusChanged(){this.proxy instanceof HTMLInputElement&&(this.proxy.autofocus=this.autofocus,this.validate())}placeholderChanged(){this.proxy instanceof HTMLInputElement&&(this.proxy.placeholder=this.placeholder)}typeChanged(){this.proxy instanceof HTMLInputElement&&(this.proxy.type=this.type,this.validate())}listChanged(){this.proxy instanceof HTMLInputElement&&(this.proxy.setAttribute("list",this.list),this.validate())}maxlengthChanged(){this.proxy instanceof HTMLInputElement&&(this.proxy.maxLength=this.maxlength,this.validate())}minlengthChanged(){this.proxy instanceof HTMLInputElement&&(this.proxy.minLength=this.minlength,this.validate())}patternChanged(){this.proxy instanceof HTMLInputElement&&(this.proxy.pattern=this.pattern,this.validate())}sizeChanged(){this.proxy instanceof HTMLInputElement&&(this.proxy.size=this.size)}spellcheckChanged(){this.proxy instanceof HTMLInputElement&&(this.proxy.spellcheck=this.spellcheck)}connectedCallback(){super.connectedCallback(),this.proxy.setAttribute("type",this.type),this.validate(),this.autofocus&&DOM.queueUpdate(()=>{this.focus()})}select(){this.control.select(),this.$emit("select")}handleTextInput(){this.value=this.control.value}handleChange(){this.$emit("change")}validate(){super.validate(this.control)}};__decorate([attr({attribute:"readonly",mode:"boolean"})],TextField$1.prototype,"readOnly",void 0);__decorate([attr({mode:"boolean"})],TextField$1.prototype,"autofocus",void 0);__decorate([attr],TextField$1.prototype,"placeholder",void 0);__decorate([attr],TextField$1.prototype,"type",void 0);__decorate([attr],TextField$1.prototype,"list",void 0);__decorate([attr({converter:nullableNumberConverter})],TextField$1.prototype,"maxlength",void 0);__decorate([attr({converter:nullableNumberConverter})],TextField$1.prototype,"minlength",void 0);__decorate([attr],TextField$1.prototype,"pattern",void 0);__decorate([attr({converter:nullableNumberConverter})],TextField$1.prototype,"size",void 0);__decorate([attr({mode:"boolean"})],TextField$1.prototype,"spellcheck",void 0);__decorate([observable],TextField$1.prototype,"defaultSlottedNodes",void 0);class DelegatesARIATextbox{}applyMixins(DelegatesARIATextbox,ARIAGlobalStatesAndProperties);applyMixins(TextField$1,StartEnd,DelegatesARIATextbox);const progressSegments=44,progressRingTemplate=(eo,to)=>html`
+    <template
+        role="progressbar"
+        aria-valuenow="${ro=>ro.value}"
+        aria-valuemin="${ro=>ro.min}"
+        aria-valuemax="${ro=>ro.max}"
+        class="${ro=>ro.paused?"paused":""}"
+    >
+        ${when(ro=>typeof ro.value=="number",html`
+                <svg
+                    class="progress"
+                    part="progress"
+                    viewBox="0 0 16 16"
+                    slot="determinate"
+                >
+                    <circle
+                        class="background"
+                        part="background"
+                        cx="8px"
+                        cy="8px"
+                        r="7px"
+                    ></circle>
+                    <circle
+                        class="determinate"
+                        part="determinate"
+                        style="stroke-dasharray: ${ro=>progressSegments*ro.percentComplete/100}px ${progressSegments}px"
+                        cx="8px"
+                        cy="8px"
+                        r="7px"
+                    ></circle>
+                </svg>
+            `,html`
+                <slot name="indeterminate" slot="indeterminate">
+                    ${to.indeterminateIndicator||""}
+                </slot>
+            `)}
+    </template>
+`;class BaseProgress extends FoundationElement{constructor(){super(...arguments),this.percentComplete=0}valueChanged(){this.$fastController.isConnected&&this.updatePercentComplete()}minChanged(){this.$fastController.isConnected&&this.updatePercentComplete()}maxChanged(){this.$fastController.isConnected&&this.updatePercentComplete()}connectedCallback(){super.connectedCallback(),this.updatePercentComplete()}updatePercentComplete(){const to=typeof this.min=="number"?this.min:0,ro=typeof this.max=="number"?this.max:100,no=typeof this.value=="number"?this.value:0,oo=ro-to;this.percentComplete=oo===0?0:Math.fround((no-to)/oo*100)}}__decorate([attr({converter:nullableNumberConverter})],BaseProgress.prototype,"value",void 0);__decorate([attr({converter:nullableNumberConverter})],BaseProgress.prototype,"min",void 0);__decorate([attr({converter:nullableNumberConverter})],BaseProgress.prototype,"max",void 0);__decorate([attr({mode:"boolean"})],BaseProgress.prototype,"paused",void 0);__decorate([observable],BaseProgress.prototype,"percentComplete",void 0);const radioGroupTemplate=(eo,to)=>html`
+    <template
+        role="radiogroup"
+        aria-disabled="${ro=>ro.disabled}"
+        aria-readonly="${ro=>ro.readOnly}"
+        @click="${(ro,no)=>ro.clickHandler(no.event)}"
+        @keydown="${(ro,no)=>ro.keydownHandler(no.event)}"
+        @focusout="${(ro,no)=>ro.focusOutHandler(no.event)}"
+    >
+        <slot name="label"></slot>
+        <div
+            class="positioning-region ${ro=>ro.orientation===Orientation.horizontal?"horizontal":"vertical"}"
+            part="positioning-region"
+        >
+            <slot
+                ${slotted({property:"slottedRadioButtons",filter:elements("[role=radio]")})}
+            ></slot>
+        </div>
+    </template>
+`;let RadioGroup$1=class extends FoundationElement{constructor(){super(...arguments),this.orientation=Orientation.horizontal,this.radioChangeHandler=to=>{const ro=to.target;ro.checked&&(this.slottedRadioButtons.forEach(no=>{no!==ro&&(no.checked=!1,this.isInsideFoundationToolbar||no.setAttribute("tabindex","-1"))}),this.selectedRadio=ro,this.value=ro.value,ro.setAttribute("tabindex","0"),this.focusedRadio=ro),to.stopPropagation()},this.moveToRadioByIndex=(to,ro)=>{const no=to[ro];this.isInsideToolbar||(no.setAttribute("tabindex","0"),no.readOnly?this.slottedRadioButtons.forEach(oo=>{oo!==no&&oo.setAttribute("tabindex","-1")}):(no.checked=!0,this.selectedRadio=no)),this.focusedRadio=no,no.focus()},this.moveRightOffGroup=()=>{var to;(to=this.nextElementSibling)===null||to===void 0||to.focus()},this.moveLeftOffGroup=()=>{var to;(to=this.previousElementSibling)===null||to===void 0||to.focus()},this.focusOutHandler=to=>{const ro=this.slottedRadioButtons,no=to.target,oo=no!==null?ro.indexOf(no):0,io=this.focusedRadio?ro.indexOf(this.focusedRadio):-1;return(io===0&&oo===io||io===ro.length-1&&io===oo)&&(this.selectedRadio?(this.focusedRadio=this.selectedRadio,this.isInsideFoundationToolbar||(this.selectedRadio.setAttribute("tabindex","0"),ro.forEach(so=>{so!==this.selectedRadio&&so.setAttribute("tabindex","-1")}))):(this.focusedRadio=ro[0],this.focusedRadio.setAttribute("tabindex","0"),ro.forEach(so=>{so!==this.focusedRadio&&so.setAttribute("tabindex","-1")}))),!0},this.clickHandler=to=>{const ro=to.target;if(ro){const no=this.slottedRadioButtons;ro.checked||no.indexOf(ro)===0?(ro.setAttribute("tabindex","0"),this.selectedRadio=ro):(ro.setAttribute("tabindex","-1"),this.selectedRadio=null),this.focusedRadio=ro}to.preventDefault()},this.shouldMoveOffGroupToTheRight=(to,ro,no)=>to===ro.length&&this.isInsideToolbar&&no===keyArrowRight,this.shouldMoveOffGroupToTheLeft=(to,ro)=>(this.focusedRadio?to.indexOf(this.focusedRadio)-1:0)<0&&this.isInsideToolbar&&ro===keyArrowLeft,this.checkFocusedRadio=()=>{this.focusedRadio!==null&&!this.focusedRadio.readOnly&&!this.focusedRadio.checked&&(this.focusedRadio.checked=!0,this.focusedRadio.setAttribute("tabindex","0"),this.focusedRadio.focus(),this.selectedRadio=this.focusedRadio)},this.moveRight=to=>{const ro=this.slottedRadioButtons;let no=0;if(no=this.focusedRadio?ro.indexOf(this.focusedRadio)+1:1,this.shouldMoveOffGroupToTheRight(no,ro,to.key)){this.moveRightOffGroup();return}else no===ro.length&&(no=0);for(;no<ro.length&&ro.length>1;)if(ro[no].disabled){if(this.focusedRadio&&no===ro.indexOf(this.focusedRadio))break;if(no+1>=ro.length){if(this.isInsideToolbar)break;no=0}else no+=1}else{this.moveToRadioByIndex(ro,no);break}},this.moveLeft=to=>{const ro=this.slottedRadioButtons;let no=0;if(no=this.focusedRadio?ro.indexOf(this.focusedRadio)-1:0,no=no<0?ro.length-1:no,this.shouldMoveOffGroupToTheLeft(ro,to.key)){this.moveLeftOffGroup();return}for(;no>=0&&ro.length>1;)if(ro[no].disabled){if(this.focusedRadio&&no===ro.indexOf(this.focusedRadio))break;no-1<0?no=ro.length-1:no-=1}else{this.moveToRadioByIndex(ro,no);break}},this.keydownHandler=to=>{const ro=to.key;if(ro in ArrowKeys&&this.isInsideFoundationToolbar)return!0;switch(ro){case keyEnter:{this.checkFocusedRadio();break}case keyArrowRight:case keyArrowDown:{this.direction===Direction$1.ltr?this.moveRight(to):this.moveLeft(to);break}case keyArrowLeft:case keyArrowUp:{this.direction===Direction$1.ltr?this.moveLeft(to):this.moveRight(to);break}default:return!0}}}readOnlyChanged(){this.slottedRadioButtons!==void 0&&this.slottedRadioButtons.forEach(to=>{this.readOnly?to.readOnly=!0:to.readOnly=!1})}disabledChanged(){this.slottedRadioButtons!==void 0&&this.slottedRadioButtons.forEach(to=>{this.disabled?to.disabled=!0:to.disabled=!1})}nameChanged(){this.slottedRadioButtons&&this.slottedRadioButtons.forEach(to=>{to.setAttribute("name",this.name)})}valueChanged(){this.slottedRadioButtons&&this.slottedRadioButtons.forEach(to=>{to.value===this.value&&(to.checked=!0,this.selectedRadio=to)}),this.$emit("change")}slottedRadioButtonsChanged(to,ro){this.slottedRadioButtons&&this.slottedRadioButtons.length>0&&this.setupRadioButtons()}get parentToolbar(){return this.closest('[role="toolbar"]')}get isInsideToolbar(){var to;return(to=this.parentToolbar)!==null&&to!==void 0?to:!1}get isInsideFoundationToolbar(){var to;return!!(!((to=this.parentToolbar)===null||to===void 0)&&to.$fastController)}connectedCallback(){super.connectedCallback(),this.direction=getDirection(this),this.setupRadioButtons()}disconnectedCallback(){this.slottedRadioButtons.forEach(to=>{to.removeEventListener("change",this.radioChangeHandler)})}setupRadioButtons(){const to=this.slottedRadioButtons.filter(oo=>oo.hasAttribute("checked")),ro=to?to.length:0;if(ro>1){const oo=to[ro-1];oo.checked=!0}let no=!1;if(this.slottedRadioButtons.forEach(oo=>{this.name!==void 0&&oo.setAttribute("name",this.name),this.disabled&&(oo.disabled=!0),this.readOnly&&(oo.readOnly=!0),this.value&&this.value===oo.value?(this.selectedRadio=oo,this.focusedRadio=oo,oo.checked=!0,oo.setAttribute("tabindex","0"),no=!0):(this.isInsideFoundationToolbar||oo.setAttribute("tabindex","-1"),oo.checked=!1),oo.addEventListener("change",this.radioChangeHandler)}),this.value===void 0&&this.slottedRadioButtons.length>0){const oo=this.slottedRadioButtons.filter(so=>so.hasAttribute("checked")),io=oo!==null?oo.length:0;if(io>0&&!no){const so=oo[io-1];so.checked=!0,this.focusedRadio=so,so.setAttribute("tabindex","0")}else this.slottedRadioButtons[0].setAttribute("tabindex","0"),this.focusedRadio=this.slottedRadioButtons[0]}}};__decorate([attr({attribute:"readonly",mode:"boolean"})],RadioGroup$1.prototype,"readOnly",void 0);__decorate([attr({attribute:"disabled",mode:"boolean"})],RadioGroup$1.prototype,"disabled",void 0);__decorate([attr],RadioGroup$1.prototype,"name",void 0);__decorate([attr],RadioGroup$1.prototype,"value",void 0);__decorate([attr],RadioGroup$1.prototype,"orientation",void 0);__decorate([observable],RadioGroup$1.prototype,"childItems",void 0);__decorate([observable],RadioGroup$1.prototype,"slottedRadioButtons",void 0);const radioTemplate=(eo,to)=>html`
+    <template
+        role="radio"
+        class="${ro=>ro.checked?"checked":""} ${ro=>ro.readOnly?"readonly":""}"
+        aria-checked="${ro=>ro.checked}"
+        aria-required="${ro=>ro.required}"
+        aria-disabled="${ro=>ro.disabled}"
+        aria-readonly="${ro=>ro.readOnly}"
+        @keypress="${(ro,no)=>ro.keypressHandler(no.event)}"
+        @click="${(ro,no)=>ro.clickHandler(no.event)}"
+    >
+        <div part="control" class="control">
+            <slot name="checked-indicator">
+                ${to.checkedIndicator||""}
+            </slot>
+        </div>
+        <label
+            part="label"
+            class="${ro=>ro.defaultSlottedNodes&&ro.defaultSlottedNodes.length?"label":"label label__hidden"}"
+        >
+            <slot ${slotted("defaultSlottedNodes")}></slot>
+        </label>
+    </template>
+`;class _Radio extends FoundationElement{}class FormAssociatedRadio extends CheckableFormAssociated(_Radio){constructor(){super(...arguments),this.proxy=document.createElement("input")}}let Radio$1=class extends FormAssociatedRadio{constructor(){super(),this.initialValue="on",this.keypressHandler=to=>{switch(to.key){case keySpace:!this.checked&&!this.readOnly&&(this.checked=!0);return}return!0},this.proxy.setAttribute("type","radio")}readOnlyChanged(){this.proxy instanceof HTMLInputElement&&(this.proxy.readOnly=this.readOnly)}defaultCheckedChanged(){var to;this.$fastController.isConnected&&!this.dirtyChecked&&(this.isInsideRadioGroup()||(this.checked=(to=this.defaultChecked)!==null&&to!==void 0?to:!1,this.dirtyChecked=!1))}connectedCallback(){var to,ro;super.connectedCallback(),this.validate(),((to=this.parentElement)===null||to===void 0?void 0:to.getAttribute("role"))!=="radiogroup"&&this.getAttribute("tabindex")===null&&(this.disabled||this.setAttribute("tabindex","0")),this.checkedAttribute&&(this.dirtyChecked||this.isInsideRadioGroup()||(this.checked=(ro=this.defaultChecked)!==null&&ro!==void 0?ro:!1,this.dirtyChecked=!1))}isInsideRadioGroup(){return this.closest("[role=radiogroup]")!==null}clickHandler(to){!this.disabled&&!this.readOnly&&!this.checked&&(this.checked=!0)}};__decorate([attr({attribute:"readonly",mode:"boolean"})],Radio$1.prototype,"readOnly",void 0);__decorate([observable],Radio$1.prototype,"name",void 0);__decorate([observable],Radio$1.prototype,"defaultSlottedNodes",void 0);function whitespaceFilter(eo,to,ro){return eo.nodeType!==Node.TEXT_NODE?!0:typeof eo.nodeValue=="string"&&!!eo.nodeValue.trim().length}class _Select extends ListboxElement{}class FormAssociatedSelect extends FormAssociated(_Select){constructor(){super(...arguments),this.proxy=document.createElement("select")}}class Select extends FormAssociatedSelect{constructor(){super(...arguments),this.open=!1,this.forcedPosition=!1,this.listboxId=uniqueId("listbox-"),this.maxHeight=0}openChanged(to,ro){if(this.collapsible){if(this.open){this.ariaControls=this.listboxId,this.ariaExpanded="true",this.setPositioning(),this.focusAndScrollOptionIntoView(),this.indexWhenOpened=this.selectedIndex,DOM.queueUpdate(()=>this.focus());return}this.ariaControls="",this.ariaExpanded="false"}}get collapsible(){return!(this.multiple||typeof this.size=="number")}get value(){return Observable$1.track(this,"value"),this._value}set value(to){var ro,no,oo,io,so,ao,lo;const uo=`${this._value}`;if(!((ro=this._options)===null||ro===void 0)&&ro.length){const co=this._options.findIndex(po=>po.value===to),fo=(oo=(no=this._options[this.selectedIndex])===null||no===void 0?void 0:no.value)!==null&&oo!==void 0?oo:null,ho=(so=(io=this._options[co])===null||io===void 0?void 0:io.value)!==null&&so!==void 0?so:null;(co===-1||fo!==ho)&&(to="",this.selectedIndex=co),to=(lo=(ao=this.firstSelectedOption)===null||ao===void 0?void 0:ao.value)!==null&&lo!==void 0?lo:to}uo!==to&&(this._value=to,super.valueChanged(uo,to),Observable$1.notify(this,"value"),this.updateDisplayValue())}updateValue(to){var ro,no;this.$fastController.isConnected&&(this.value=(no=(ro=this.firstSelectedOption)===null||ro===void 0?void 0:ro.value)!==null&&no!==void 0?no:""),to&&(this.$emit("input"),this.$emit("change",this,{bubbles:!0,composed:void 0}))}selectedIndexChanged(to,ro){super.selectedIndexChanged(to,ro),this.updateValue()}positionChanged(to,ro){this.positionAttribute=ro,this.setPositioning()}setPositioning(){const to=this.getBoundingClientRect(),no=window.innerHeight-to.bottom;this.position=this.forcedPosition?this.positionAttribute:to.top>no?SelectPosition.above:SelectPosition.below,this.positionAttribute=this.forcedPosition?this.positionAttribute:this.position,this.maxHeight=this.position===SelectPosition.above?~~to.top:~~no}get displayValue(){var to,ro;return Observable$1.track(this,"displayValue"),(ro=(to=this.firstSelectedOption)===null||to===void 0?void 0:to.text)!==null&&ro!==void 0?ro:""}disabledChanged(to,ro){super.disabledChanged&&super.disabledChanged(to,ro),this.ariaDisabled=this.disabled?"true":"false"}formResetCallback(){this.setProxyOptions(),super.setDefaultSelectedOption(),this.selectedIndex===-1&&(this.selectedIndex=0)}clickHandler(to){if(!this.disabled){if(this.open){const ro=to.target.closest("option,[role=option]");if(ro&&ro.disabled)return}return super.clickHandler(to),this.open=this.collapsible&&!this.open,!this.open&&this.indexWhenOpened!==this.selectedIndex&&this.updateValue(!0),!0}}focusoutHandler(to){var ro;if(super.focusoutHandler(to),!this.open)return!0;const no=to.relatedTarget;if(this.isSameNode(no)){this.focus();return}!((ro=this.options)===null||ro===void 0)&&ro.includes(no)||(this.open=!1,this.indexWhenOpened!==this.selectedIndex&&this.updateValue(!0))}handleChange(to,ro){super.handleChange(to,ro),ro==="value"&&this.updateValue()}slottedOptionsChanged(to,ro){this.options.forEach(no=>{Observable$1.getNotifier(no).unsubscribe(this,"value")}),super.slottedOptionsChanged(to,ro),this.options.forEach(no=>{Observable$1.getNotifier(no).subscribe(this,"value")}),this.setProxyOptions(),this.updateValue()}mousedownHandler(to){var ro;return to.offsetX>=0&&to.offsetX<=((ro=this.listbox)===null||ro===void 0?void 0:ro.scrollWidth)?super.mousedownHandler(to):this.collapsible}multipleChanged(to,ro){super.multipleChanged(to,ro),this.proxy&&(this.proxy.multiple=ro)}selectedOptionsChanged(to,ro){var no;super.selectedOptionsChanged(to,ro),(no=this.options)===null||no===void 0||no.forEach((oo,io)=>{var so;const ao=(so=this.proxy)===null||so===void 0?void 0:so.options.item(io);ao&&(ao.selected=oo.selected)})}setDefaultSelectedOption(){var to;const ro=(to=this.options)!==null&&to!==void 0?to:Array.from(this.children).filter(Listbox.slottedOptionFilter),no=ro==null?void 0:ro.findIndex(oo=>oo.hasAttribute("selected")||oo.selected||oo.value===this.value);if(no!==-1){this.selectedIndex=no;return}this.selectedIndex=0}setProxyOptions(){this.proxy instanceof HTMLSelectElement&&this.options&&(this.proxy.options.length=0,this.options.forEach(to=>{const ro=to.proxy||(to instanceof HTMLOptionElement?to.cloneNode():null);ro&&this.proxy.options.add(ro)}))}keydownHandler(to){super.keydownHandler(to);const ro=to.key||to.key.charCodeAt(0);switch(ro){case keySpace:{to.preventDefault(),this.collapsible&&this.typeAheadExpired&&(this.open=!this.open);break}case keyHome:case keyEnd:{to.preventDefault();break}case keyEnter:{to.preventDefault(),this.open=!this.open;break}case keyEscape:{this.collapsible&&this.open&&(to.preventDefault(),this.open=!1);break}case keyTab:return this.collapsible&&this.open&&(to.preventDefault(),this.open=!1),!0}return!this.open&&this.indexWhenOpened!==this.selectedIndex&&(this.updateValue(!0),this.indexWhenOpened=this.selectedIndex),!(ro===keyArrowDown||ro===keyArrowUp)}connectedCallback(){super.connectedCallback(),this.forcedPosition=!!this.positionAttribute,this.addEventListener("contentchange",this.updateDisplayValue)}disconnectedCallback(){this.removeEventListener("contentchange",this.updateDisplayValue),super.disconnectedCallback()}sizeChanged(to,ro){super.sizeChanged(to,ro),this.proxy&&(this.proxy.size=ro)}updateDisplayValue(){this.collapsible&&Observable$1.notify(this,"displayValue")}}__decorate([attr({attribute:"open",mode:"boolean"})],Select.prototype,"open",void 0);__decorate([volatile],Select.prototype,"collapsible",null);__decorate([observable],Select.prototype,"control",void 0);__decorate([attr({attribute:"position"})],Select.prototype,"positionAttribute",void 0);__decorate([observable],Select.prototype,"position",void 0);__decorate([observable],Select.prototype,"maxHeight",void 0);class DelegatesARIASelect{}__decorate([observable],DelegatesARIASelect.prototype,"ariaControls",void 0);applyMixins(DelegatesARIASelect,DelegatesARIAListbox);applyMixins(Select,StartEnd,DelegatesARIASelect);const selectTemplate=(eo,to)=>html`
+    <template
+        class="${ro=>[ro.collapsible&&"collapsible",ro.collapsible&&ro.open&&"open",ro.disabled&&"disabled",ro.collapsible&&ro.position].filter(Boolean).join(" ")}"
+        aria-activedescendant="${ro=>ro.ariaActiveDescendant}"
+        aria-controls="${ro=>ro.ariaControls}"
+        aria-disabled="${ro=>ro.ariaDisabled}"
+        aria-expanded="${ro=>ro.ariaExpanded}"
+        aria-haspopup="${ro=>ro.collapsible?"listbox":null}"
+        aria-multiselectable="${ro=>ro.ariaMultiSelectable}"
+        ?open="${ro=>ro.open}"
+        role="combobox"
+        tabindex="${ro=>ro.disabled?null:"0"}"
+        @click="${(ro,no)=>ro.clickHandler(no.event)}"
+        @focusin="${(ro,no)=>ro.focusinHandler(no.event)}"
+        @focusout="${(ro,no)=>ro.focusoutHandler(no.event)}"
+        @keydown="${(ro,no)=>ro.keydownHandler(no.event)}"
+        @mousedown="${(ro,no)=>ro.mousedownHandler(no.event)}"
+    >
+        ${when(ro=>ro.collapsible,html`
+                <div
+                    class="control"
+                    part="control"
+                    ?disabled="${ro=>ro.disabled}"
+                    ${ref("control")}
+                >
+                    ${startSlotTemplate(eo,to)}
+                    <slot name="button-container">
+                        <div class="selected-value" part="selected-value">
+                            <slot name="selected-value">${ro=>ro.displayValue}</slot>
+                        </div>
+                        <div aria-hidden="true" class="indicator" part="indicator">
+                            <slot name="indicator">
+                                ${to.indicator||""}
+                            </slot>
+                        </div>
+                    </slot>
+                    ${endSlotTemplate(eo,to)}
+                </div>
+            `)}
+        <div
+            class="listbox"
+            id="${ro=>ro.listboxId}"
+            part="listbox"
+            role="listbox"
+            ?disabled="${ro=>ro.disabled}"
+            ?hidden="${ro=>ro.collapsible?!ro.open:!1}"
+            ${ref("listbox")}
+        >
+            <slot
+                ${slotted({filter:Listbox.slottedOptionFilter,flatten:!0,property:"slottedOptions"})}
+            ></slot>
+        </div>
+    </template>
+`,tabPanelTemplate=(eo,to)=>html`
+    <template slot="tabpanel" role="tabpanel">
+        <slot></slot>
+    </template>
+`;class TabPanel extends FoundationElement{}const tabTemplate=(eo,to)=>html`
+    <template slot="tab" role="tab" aria-disabled="${ro=>ro.disabled}">
+        <slot></slot>
+    </template>
+`;class Tab extends FoundationElement{}__decorate([attr({mode:"boolean"})],Tab.prototype,"disabled",void 0);const tabsTemplate=(eo,to)=>html`
+    <template class="${ro=>ro.orientation}">
+        ${startSlotTemplate(eo,to)}
+        <div class="tablist" part="tablist" role="tablist">
+            <slot class="tab" name="tab" part="tab" ${slotted("tabs")}></slot>
+
+            ${when(ro=>ro.showActiveIndicator,html`
+                    <div
+                        ${ref("activeIndicatorRef")}
+                        class="activeIndicator"
+                        part="activeIndicator"
+                    ></div>
+                `)}
+        </div>
+        ${endSlotTemplate(eo,to)}
+        <div class="tabpanel" part="tabpanel">
+            <slot name="tabpanel" ${slotted("tabpanels")}></slot>
+        </div>
+    </template>
+`,TabsOrientation={vertical:"vertical",horizontal:"horizontal"};class Tabs extends FoundationElement{constructor(){super(...arguments),this.orientation=TabsOrientation.horizontal,this.activeindicator=!0,this.showActiveIndicator=!0,this.prevActiveTabIndex=0,this.activeTabIndex=0,this.ticking=!1,this.change=()=>{this.$emit("change",this.activetab)},this.isDisabledElement=to=>to.getAttribute("aria-disabled")==="true",this.isHiddenElement=to=>to.hasAttribute("hidden"),this.isFocusableElement=to=>!this.isDisabledElement(to)&&!this.isHiddenElement(to),this.setTabs=()=>{const to="gridColumn",ro="gridRow",no=this.isHorizontal()?to:ro;this.activeTabIndex=this.getActiveIndex(),this.showActiveIndicator=!1,this.tabs.forEach((oo,io)=>{if(oo.slot==="tab"){const so=this.activeTabIndex===io&&this.isFocusableElement(oo);this.activeindicator&&this.isFocusableElement(oo)&&(this.showActiveIndicator=!0);const ao=this.tabIds[io],lo=this.tabpanelIds[io];oo.setAttribute("id",ao),oo.setAttribute("aria-selected",so?"true":"false"),oo.setAttribute("aria-controls",lo),oo.addEventListener("click",this.handleTabClick),oo.addEventListener("keydown",this.handleTabKeyDown),oo.setAttribute("tabindex",so?"0":"-1"),so&&(this.activetab=oo,this.activeid=ao)}oo.style[to]="",oo.style[ro]="",oo.style[no]=`${io+1}`,this.isHorizontal()?oo.classList.remove("vertical"):oo.classList.add("vertical")})},this.setTabPanels=()=>{this.tabpanels.forEach((to,ro)=>{const no=this.tabIds[ro],oo=this.tabpanelIds[ro];to.setAttribute("id",oo),to.setAttribute("aria-labelledby",no),this.activeTabIndex!==ro?to.setAttribute("hidden",""):to.removeAttribute("hidden")})},this.handleTabClick=to=>{const ro=to.currentTarget;ro.nodeType===1&&this.isFocusableElement(ro)&&(this.prevActiveTabIndex=this.activeTabIndex,this.activeTabIndex=this.tabs.indexOf(ro),this.setComponent())},this.handleTabKeyDown=to=>{if(this.isHorizontal())switch(to.key){case keyArrowLeft:to.preventDefault(),this.adjustBackward(to);break;case keyArrowRight:to.preventDefault(),this.adjustForward(to);break}else switch(to.key){case keyArrowUp:to.preventDefault(),this.adjustBackward(to);break;case keyArrowDown:to.preventDefault(),this.adjustForward(to);break}switch(to.key){case keyHome:to.preventDefault(),this.adjust(-this.activeTabIndex);break;case keyEnd:to.preventDefault(),this.adjust(this.tabs.length-this.activeTabIndex-1);break}},this.adjustForward=to=>{const ro=this.tabs;let no=0;for(no=this.activetab?ro.indexOf(this.activetab)+1:1,no===ro.length&&(no=0);no<ro.length&&ro.length>1;)if(this.isFocusableElement(ro[no])){this.moveToTabByIndex(ro,no);break}else{if(this.activetab&&no===ro.indexOf(this.activetab))break;no+1>=ro.length?no=0:no+=1}},this.adjustBackward=to=>{const ro=this.tabs;let no=0;for(no=this.activetab?ro.indexOf(this.activetab)-1:0,no=no<0?ro.length-1:no;no>=0&&ro.length>1;)if(this.isFocusableElement(ro[no])){this.moveToTabByIndex(ro,no);break}else no-1<0?no=ro.length-1:no-=1},this.moveToTabByIndex=(to,ro)=>{const no=to[ro];this.activetab=no,this.prevActiveTabIndex=this.activeTabIndex,this.activeTabIndex=ro,no.focus(),this.setComponent()}}orientationChanged(){this.$fastController.isConnected&&(this.setTabs(),this.setTabPanels(),this.handleActiveIndicatorPosition())}activeidChanged(to,ro){this.$fastController.isConnected&&this.tabs.length<=this.tabpanels.length&&(this.prevActiveTabIndex=this.tabs.findIndex(no=>no.id===to),this.setTabs(),this.setTabPanels(),this.handleActiveIndicatorPosition())}tabsChanged(){this.$fastController.isConnected&&this.tabs.length<=this.tabpanels.length&&(this.tabIds=this.getTabIds(),this.tabpanelIds=this.getTabPanelIds(),this.setTabs(),this.setTabPanels(),this.handleActiveIndicatorPosition())}tabpanelsChanged(){this.$fastController.isConnected&&this.tabpanels.length<=this.tabs.length&&(this.tabIds=this.getTabIds(),this.tabpanelIds=this.getTabPanelIds(),this.setTabs(),this.setTabPanels(),this.handleActiveIndicatorPosition())}getActiveIndex(){return this.activeid!==void 0?this.tabIds.indexOf(this.activeid)===-1?0:this.tabIds.indexOf(this.activeid):0}getTabIds(){return this.tabs.map(to=>{var ro;return(ro=to.getAttribute("id"))!==null&&ro!==void 0?ro:`tab-${uniqueId()}`})}getTabPanelIds(){return this.tabpanels.map(to=>{var ro;return(ro=to.getAttribute("id"))!==null&&ro!==void 0?ro:`panel-${uniqueId()}`})}setComponent(){this.activeTabIndex!==this.prevActiveTabIndex&&(this.activeid=this.tabIds[this.activeTabIndex],this.focusTab(),this.change())}isHorizontal(){return this.orientation===TabsOrientation.horizontal}handleActiveIndicatorPosition(){this.showActiveIndicator&&this.activeindicator&&this.activeTabIndex!==this.prevActiveTabIndex&&(this.ticking?this.ticking=!1:(this.ticking=!0,this.animateActiveIndicator()))}animateActiveIndicator(){this.ticking=!0;const to=this.isHorizontal()?"gridColumn":"gridRow",ro=this.isHorizontal()?"translateX":"translateY",no=this.isHorizontal()?"offsetLeft":"offsetTop",oo=this.activeIndicatorRef[no];this.activeIndicatorRef.style[to]=`${this.activeTabIndex+1}`;const io=this.activeIndicatorRef[no];this.activeIndicatorRef.style[to]=`${this.prevActiveTabIndex+1}`;const so=io-oo;this.activeIndicatorRef.style.transform=`${ro}(${so}px)`,this.activeIndicatorRef.classList.add("activeIndicatorTransition"),this.activeIndicatorRef.addEventListener("transitionend",()=>{this.ticking=!1,this.activeIndicatorRef.style[to]=`${this.activeTabIndex+1}`,this.activeIndicatorRef.style.transform=`${ro}(0px)`,this.activeIndicatorRef.classList.remove("activeIndicatorTransition")})}adjust(to){const ro=this.tabs.filter(so=>this.isFocusableElement(so)),no=ro.indexOf(this.activetab),oo=limit(0,ro.length-1,no+to),io=this.tabs.indexOf(ro[oo]);io>-1&&this.moveToTabByIndex(this.tabs,io)}focusTab(){this.tabs[this.activeTabIndex].focus()}connectedCallback(){super.connectedCallback(),this.tabIds=this.getTabIds(),this.tabpanelIds=this.getTabPanelIds(),this.activeTabIndex=this.getActiveIndex()}}__decorate([attr],Tabs.prototype,"orientation",void 0);__decorate([attr],Tabs.prototype,"activeid",void 0);__decorate([observable],Tabs.prototype,"tabs",void 0);__decorate([observable],Tabs.prototype,"tabpanels",void 0);__decorate([attr({mode:"boolean"})],Tabs.prototype,"activeindicator",void 0);__decorate([observable],Tabs.prototype,"activeIndicatorRef",void 0);__decorate([observable],Tabs.prototype,"showActiveIndicator",void 0);applyMixins(Tabs,StartEnd);class _TextArea extends FoundationElement{}class FormAssociatedTextArea extends FormAssociated(_TextArea){constructor(){super(...arguments),this.proxy=document.createElement("textarea")}}const TextAreaResize={none:"none",both:"both",horizontal:"horizontal",vertical:"vertical"};let TextArea$1=class extends FormAssociatedTextArea{constructor(){super(...arguments),this.resize=TextAreaResize.none,this.cols=20,this.handleTextInput=()=>{this.value=this.control.value}}readOnlyChanged(){this.proxy instanceof HTMLTextAreaElement&&(this.proxy.readOnly=this.readOnly)}autofocusChanged(){this.proxy instanceof HTMLTextAreaElement&&(this.proxy.autofocus=this.autofocus)}listChanged(){this.proxy instanceof HTMLTextAreaElement&&this.proxy.setAttribute("list",this.list)}maxlengthChanged(){this.proxy instanceof HTMLTextAreaElement&&(this.proxy.maxLength=this.maxlength)}minlengthChanged(){this.proxy instanceof HTMLTextAreaElement&&(this.proxy.minLength=this.minlength)}spellcheckChanged(){this.proxy instanceof HTMLTextAreaElement&&(this.proxy.spellcheck=this.spellcheck)}select(){this.control.select(),this.$emit("select")}handleChange(){this.$emit("change")}validate(){super.validate(this.control)}};__decorate([attr({mode:"boolean"})],TextArea$1.prototype,"readOnly",void 0);__decorate([attr],TextArea$1.prototype,"resize",void 0);__decorate([attr({mode:"boolean"})],TextArea$1.prototype,"autofocus",void 0);__decorate([attr({attribute:"form"})],TextArea$1.prototype,"formId",void 0);__decorate([attr],TextArea$1.prototype,"list",void 0);__decorate([attr({converter:nullableNumberConverter})],TextArea$1.prototype,"maxlength",void 0);__decorate([attr({converter:nullableNumberConverter})],TextArea$1.prototype,"minlength",void 0);__decorate([attr],TextArea$1.prototype,"name",void 0);__decorate([attr],TextArea$1.prototype,"placeholder",void 0);__decorate([attr({converter:nullableNumberConverter,mode:"fromView"})],TextArea$1.prototype,"cols",void 0);__decorate([attr({converter:nullableNumberConverter,mode:"fromView"})],TextArea$1.prototype,"rows",void 0);__decorate([attr({mode:"boolean"})],TextArea$1.prototype,"spellcheck",void 0);__decorate([observable],TextArea$1.prototype,"defaultSlottedNodes",void 0);applyMixins(TextArea$1,DelegatesARIATextbox);const textAreaTemplate=(eo,to)=>html`
+    <template
+        class="
+            ${ro=>ro.readOnly?"readonly":""}
+            ${ro=>ro.resize!==TextAreaResize.none?`resize-${ro.resize}`:""}"
+    >
+        <label
+            part="label"
+            for="control"
+            class="${ro=>ro.defaultSlottedNodes&&ro.defaultSlottedNodes.length?"label":"label label__hidden"}"
+        >
+            <slot ${slotted("defaultSlottedNodes")}></slot>
+        </label>
+        <textarea
+            part="control"
+            class="control"
+            id="control"
+            ?autofocus="${ro=>ro.autofocus}"
+            cols="${ro=>ro.cols}"
+            ?disabled="${ro=>ro.disabled}"
+            form="${ro=>ro.form}"
+            list="${ro=>ro.list}"
+            maxlength="${ro=>ro.maxlength}"
+            minlength="${ro=>ro.minlength}"
+            name="${ro=>ro.name}"
+            placeholder="${ro=>ro.placeholder}"
+            ?readonly="${ro=>ro.readOnly}"
+            ?required="${ro=>ro.required}"
+            rows="${ro=>ro.rows}"
+            ?spellcheck="${ro=>ro.spellcheck}"
+            :value="${ro=>ro.value}"
+            aria-atomic="${ro=>ro.ariaAtomic}"
+            aria-busy="${ro=>ro.ariaBusy}"
+            aria-controls="${ro=>ro.ariaControls}"
+            aria-current="${ro=>ro.ariaCurrent}"
+            aria-describedby="${ro=>ro.ariaDescribedby}"
+            aria-details="${ro=>ro.ariaDetails}"
+            aria-disabled="${ro=>ro.ariaDisabled}"
+            aria-errormessage="${ro=>ro.ariaErrormessage}"
+            aria-flowto="${ro=>ro.ariaFlowto}"
+            aria-haspopup="${ro=>ro.ariaHaspopup}"
+            aria-hidden="${ro=>ro.ariaHidden}"
+            aria-invalid="${ro=>ro.ariaInvalid}"
+            aria-keyshortcuts="${ro=>ro.ariaKeyshortcuts}"
+            aria-label="${ro=>ro.ariaLabel}"
+            aria-labelledby="${ro=>ro.ariaLabelledby}"
+            aria-live="${ro=>ro.ariaLive}"
+            aria-owns="${ro=>ro.ariaOwns}"
+            aria-relevant="${ro=>ro.ariaRelevant}"
+            aria-roledescription="${ro=>ro.ariaRoledescription}"
+            @input="${(ro,no)=>ro.handleTextInput()}"
+            @change="${ro=>ro.handleChange()}"
+            ${ref("control")}
+        ></textarea>
+    </template>
+`,textFieldTemplate=(eo,to)=>html`
+    <template
+        class="
+            ${ro=>ro.readOnly?"readonly":""}
+        "
+    >
+        <label
+            part="label"
+            for="control"
+            class="${ro=>ro.defaultSlottedNodes&&ro.defaultSlottedNodes.length?"label":"label label__hidden"}"
+        >
+            <slot
+                ${slotted({property:"defaultSlottedNodes",filter:whitespaceFilter})}
+            ></slot>
+        </label>
+        <div class="root" part="root">
+            ${startSlotTemplate(eo,to)}
+            <input
+                class="control"
+                part="control"
+                id="control"
+                @input="${ro=>ro.handleTextInput()}"
+                @change="${ro=>ro.handleChange()}"
+                ?autofocus="${ro=>ro.autofocus}"
+                ?disabled="${ro=>ro.disabled}"
+                list="${ro=>ro.list}"
+                maxlength="${ro=>ro.maxlength}"
+                minlength="${ro=>ro.minlength}"
+                pattern="${ro=>ro.pattern}"
+                placeholder="${ro=>ro.placeholder}"
+                ?readonly="${ro=>ro.readOnly}"
+                ?required="${ro=>ro.required}"
+                size="${ro=>ro.size}"
+                ?spellcheck="${ro=>ro.spellcheck}"
+                :value="${ro=>ro.value}"
+                type="${ro=>ro.type}"
+                aria-atomic="${ro=>ro.ariaAtomic}"
+                aria-busy="${ro=>ro.ariaBusy}"
+                aria-controls="${ro=>ro.ariaControls}"
+                aria-current="${ro=>ro.ariaCurrent}"
+                aria-describedby="${ro=>ro.ariaDescribedby}"
+                aria-details="${ro=>ro.ariaDetails}"
+                aria-disabled="${ro=>ro.ariaDisabled}"
+                aria-errormessage="${ro=>ro.ariaErrormessage}"
+                aria-flowto="${ro=>ro.ariaFlowto}"
+                aria-haspopup="${ro=>ro.ariaHaspopup}"
+                aria-hidden="${ro=>ro.ariaHidden}"
+                aria-invalid="${ro=>ro.ariaInvalid}"
+                aria-keyshortcuts="${ro=>ro.ariaKeyshortcuts}"
+                aria-label="${ro=>ro.ariaLabel}"
+                aria-labelledby="${ro=>ro.ariaLabelledby}"
+                aria-live="${ro=>ro.ariaLive}"
+                aria-owns="${ro=>ro.ariaOwns}"
+                aria-relevant="${ro=>ro.ariaRelevant}"
+                aria-roledescription="${ro=>ro.ariaRoledescription}"
+                ${ref("control")}
+            />
+            ${endSlotTemplate(eo,to)}
+        </div>
+    </template>
+`,disabledCursor="not-allowed",hidden=":host([hidden]){display:none}";function display(eo){return`${hidden}:host{display:${eo}}`}const focusVisible=canUseFocusVisible()?"focus-visible":"focus",reservedReactProperties=new Set(["children","localName","ref","style","className"]),emptyProps=Object.freeze(Object.create(null)),DEFAULT_CACHE_NAME="_default",wrappersCache=new Map;function setRef(eo,to){typeof eo=="function"?eo(to):eo.current=to}function getTagName(eo,to){if(!to.name){const ro=FASTElementDefinition.forType(eo);if(ro)to.name=ro.name;else throw new Error("React wrappers must wrap a FASTElement or be configured with a name.")}return to.name}function getElementEvents(eo){return eo.events||(eo.events={})}function keyIsValid(eo,to,ro){return reservedReactProperties.has(ro)?(console.warn(`${getTagName(eo,to)} contains property ${ro} which is a React reserved property. It will be used by React and not set on the element.`),!1):!0}function getElementKeys(eo,to){if(!to.keys)if(to.properties)to.keys=new Set(to.properties.concat(Object.keys(getElementEvents(to))));else{const ro=new Set(Object.keys(getElementEvents(to))),no=Observable$1.getAccessors(eo.prototype);if(no.length>0)for(const oo of no)keyIsValid(eo,to,oo.name)&&ro.add(oo.name);else for(const oo in eo.prototype)!(oo in HTMLElement.prototype)&&keyIsValid(eo,to,oo)&&ro.add(oo);to.keys=ro}return to.keys}function provideReactWrapper(eo,to){let ro=[];const no={register(io,...so){ro.forEach(ao=>ao.register(io,...so)),ro=[]}};function oo(io,so={}){var ao,lo;io instanceof FoundationElementRegistry&&(to?to.register(io):ro.push(io),io=io.type);const uo=wrappersCache.get(io);if(uo){const ho=uo.get((ao=so.name)!==null&&ao!==void 0?ao:DEFAULT_CACHE_NAME);if(ho)return ho}class co extends eo.Component{constructor(){super(...arguments),this._element=null}_updateElement(po){const go=this._element;if(go===null)return;const vo=this.props,bo=po||emptyProps,xo=getElementEvents(so);for(const _o in this._elementProps){const Eo=vo[_o],So=xo[_o];if(So===void 0)go[_o]=Eo;else{const To=bo[_o];if(Eo===To)continue;To!==void 0&&go.removeEventListener(So,To),Eo!==void 0&&go.addEventListener(So,Eo)}}}componentDidMount(){this._updateElement()}componentDidUpdate(po){this._updateElement(po)}render(){const po=this.props.__forwardedRef;(this._ref===void 0||this._userRef!==po)&&(this._ref=_o=>{this._element===null&&(this._element=_o),po!==null&&setRef(po,_o),this._userRef=po});const go={ref:this._ref},vo=this._elementProps={},bo=getElementKeys(io,so),xo=this.props;for(const _o in xo){const Eo=xo[_o];bo.has(_o)?vo[_o]=Eo:go[_o==="className"?"class":_o]=Eo}return eo.createElement(getTagName(io,so),go)}}const fo=eo.forwardRef((ho,po)=>eo.createElement(co,Object.assign(Object.assign({},ho),{__forwardedRef:po}),ho==null?void 0:ho.children));return wrappersCache.has(io)||wrappersCache.set(io,new Map),wrappersCache.get(io).set((lo=so.name)!==null&&lo!==void 0?lo:DEFAULT_CACHE_NAME,fo),fo}return{wrap:oo,registry:no}}function provideVSCodeDesignSystem(eo){return DesignSystem.getOrCreate(eo).withPrefix("vscode")}function initThemeChangeListener(eo){window.addEventListener("load",()=>{new MutationObserver(()=>{applyCurrentTheme(eo)}).observe(document.body,{attributes:!0,attributeFilter:["class"]}),applyCurrentTheme(eo)})}function applyCurrentTheme(eo){const to=getComputedStyle(document.body),ro=document.querySelector("body");if(ro){const no=ro.getAttribute("data-vscode-theme-kind");for(const[oo,io]of eo){let so=to.getPropertyValue(oo).toString();if(no==="vscode-high-contrast")so.length===0&&io.name.includes("background")&&(so="transparent"),io.name==="button-icon-hover-background"&&(so="transparent");else if(no==="vscode-high-contrast-light"){if(so.length===0&&io.name.includes("background"))switch(io.name){case"button-primary-hover-background":so="#0F4A85";break;case"button-secondary-hover-background":so="transparent";break;case"button-icon-hover-background":so="transparent";break}}else io.name==="contrast-active-border"&&(so="transparent");io.setValueFor(ro,so)}}}const tokenMappings=new Map;let isThemeListenerInitialized=!1;function create$1(eo,to){const ro=DesignToken.create(eo);if(to){if(to.includes("--fake-vscode-token")){const no="id"+Math.random().toString(16).slice(2);to=`${to}-${no}`}tokenMappings.set(to,ro)}return isThemeListenerInitialized||(initThemeChangeListener(tokenMappings),isThemeListenerInitialized=!0),ro}const background$1=create$1("background","--vscode-editor-background").withDefault("#1e1e1e"),borderWidth=create$1("border-width").withDefault(1),contrastActiveBorder=create$1("contrast-active-border","--vscode-contrastActiveBorder").withDefault("#f38518");create$1("contrast-border","--vscode-contrastBorder").withDefault("#6fc3df");const cornerRadius=create$1("corner-radius").withDefault(0),cornerRadiusRound=create$1("corner-radius-round").withDefault(2),designUnit=create$1("design-unit").withDefault(4),disabledOpacity=create$1("disabled-opacity").withDefault(.4),focusBorder=create$1("focus-border","--vscode-focusBorder").withDefault("#007fd4"),fontFamily=create$1("font-family","--vscode-font-family").withDefault("-apple-system, BlinkMacSystemFont, Segoe UI, Roboto, Helvetica, Arial, sans-serif, Apple Color Emoji, Segoe UI Emoji, Segoe UI Symbol");create$1("font-weight","--vscode-font-weight").withDefault("400");const foreground=create$1("foreground","--vscode-foreground").withDefault("#cccccc"),inputHeight=create$1("input-height").withDefault("26"),inputMinWidth=create$1("input-min-width").withDefault("100px"),typeRampBaseFontSize=create$1("type-ramp-base-font-size","--vscode-font-size").withDefault("13px"),typeRampBaseLineHeight=create$1("type-ramp-base-line-height").withDefault("normal"),typeRampMinus1FontSize=create$1("type-ramp-minus1-font-size").withDefault("11px"),typeRampMinus1LineHeight=create$1("type-ramp-minus1-line-height").withDefault("16px");create$1("type-ramp-minus2-font-size").withDefault("9px");create$1("type-ramp-minus2-line-height").withDefault("16px");create$1("type-ramp-plus1-font-size").withDefault("16px");create$1("type-ramp-plus1-line-height").withDefault("24px");const scrollbarWidth=create$1("scrollbarWidth").withDefault("10px"),scrollbarHeight=create$1("scrollbarHeight").withDefault("10px"),scrollbarSliderBackground=create$1("scrollbar-slider-background","--vscode-scrollbarSlider-background").withDefault("#79797966"),scrollbarSliderHoverBackground=create$1("scrollbar-slider-hover-background","--vscode-scrollbarSlider-hoverBackground").withDefault("#646464b3"),scrollbarSliderActiveBackground=create$1("scrollbar-slider-active-background","--vscode-scrollbarSlider-activeBackground").withDefault("#bfbfbf66"),badgeBackground=create$1("badge-background","--vscode-badge-background").withDefault("#4d4d4d"),badgeForeground=create$1("badge-foreground","--vscode-badge-foreground").withDefault("#ffffff"),buttonBorder=create$1("button-border","--vscode-button-border").withDefault("transparent"),buttonIconBackground=create$1("button-icon-background").withDefault("transparent"),buttonIconCornerRadius=create$1("button-icon-corner-radius").withDefault("5px"),buttonIconFocusBorderOffset=create$1("button-icon-outline-offset").withDefault(0),buttonIconHoverBackground=create$1("button-icon-hover-background","--fake-vscode-token").withDefault("rgba(90, 93, 94, 0.31)"),buttonIconPadding=create$1("button-icon-padding").withDefault("3px"),buttonPrimaryBackground=create$1("button-primary-background","--vscode-button-background").withDefault("#0e639c"),buttonPrimaryForeground=create$1("button-primary-foreground","--vscode-button-foreground").withDefault("#ffffff"),buttonPrimaryHoverBackground=create$1("button-primary-hover-background","--vscode-button-hoverBackground").withDefault("#1177bb"),buttonSecondaryBackground=create$1("button-secondary-background","--vscode-button-secondaryBackground").withDefault("#3a3d41"),buttonSecondaryForeground=create$1("button-secondary-foreground","--vscode-button-secondaryForeground").withDefault("#ffffff"),buttonSecondaryHoverBackground=create$1("button-secondary-hover-background","--vscode-button-secondaryHoverBackground").withDefault("#45494e"),buttonPaddingHorizontal=create$1("button-padding-horizontal").withDefault("11px"),buttonPaddingVertical=create$1("button-padding-vertical").withDefault("4px"),checkboxBackground=create$1("checkbox-background","--vscode-checkbox-background").withDefault("#3c3c3c"),checkboxBorder=create$1("checkbox-border","--vscode-checkbox-border").withDefault("#3c3c3c"),checkboxCornerRadius=create$1("checkbox-corner-radius").withDefault(3);create$1("checkbox-foreground","--vscode-checkbox-foreground").withDefault("#f0f0f0");const listActiveSelectionBackground=create$1("list-active-selection-background","--vscode-list-activeSelectionBackground").withDefault("#094771"),listActiveSelectionForeground=create$1("list-active-selection-foreground","--vscode-list-activeSelectionForeground").withDefault("#ffffff"),listHoverBackground=create$1("list-hover-background","--vscode-list-hoverBackground").withDefault("#2a2d2e"),dividerBackground=create$1("divider-background","--vscode-settings-dropdownListBorder").withDefault("#454545"),dropdownBackground=create$1("dropdown-background","--vscode-dropdown-background").withDefault("#3c3c3c"),dropdownBorder=create$1("dropdown-border","--vscode-dropdown-border").withDefault("#3c3c3c");create$1("dropdown-foreground","--vscode-dropdown-foreground").withDefault("#f0f0f0");const dropdownListMaxHeight=create$1("dropdown-list-max-height").withDefault("200px"),inputBackground=create$1("input-background","--vscode-input-background").withDefault("#3c3c3c"),inputForeground=create$1("input-foreground","--vscode-input-foreground").withDefault("#cccccc");create$1("input-placeholder-foreground","--vscode-input-placeholderForeground").withDefault("#cccccc");const linkActiveForeground=create$1("link-active-foreground","--vscode-textLink-activeForeground").withDefault("#3794ff"),linkForeground=create$1("link-foreground","--vscode-textLink-foreground").withDefault("#3794ff"),progressBackground=create$1("progress-background","--vscode-progressBar-background").withDefault("#0e70c0"),panelTabActiveBorder=create$1("panel-tab-active-border","--vscode-panelTitle-activeBorder").withDefault("#e7e7e7"),panelTabActiveForeground=create$1("panel-tab-active-foreground","--vscode-panelTitle-activeForeground").withDefault("#e7e7e7"),panelTabForeground=create$1("panel-tab-foreground","--vscode-panelTitle-inactiveForeground").withDefault("#e7e7e799");create$1("panel-view-background","--vscode-panel-background").withDefault("#1e1e1e");create$1("panel-view-border","--vscode-panel-border").withDefault("#80808059");const tagCornerRadius=create$1("tag-corner-radius").withDefault("2px"),badgeStyles=(eo,to)=>css$1`
+	${display("inline-block")} :host {
+		box-sizing: border-box;
+		font-family: ${fontFamily};
+		font-size: ${typeRampMinus1FontSize};
+		line-height: ${typeRampMinus1LineHeight};
+		text-align: center;
+	}
+	.control {
+		align-items: center;
+		background-color: ${badgeBackground};
+		border: calc(${borderWidth} * 1px) solid ${buttonBorder};
+		border-radius: 11px;
+		box-sizing: border-box;
+		color: ${badgeForeground};
+		display: flex;
+		height: calc(${designUnit} * 4px);
+		justify-content: center;
+		min-width: calc(${designUnit} * 4px + 2px);
+		min-height: calc(${designUnit} * 4px + 2px);
+		padding: 3px 6px;
+	}
+`;class Badge extends Badge$1{connectedCallback(){super.connectedCallback(),this.circular||(this.circular=!0)}}const vsCodeBadge=Badge.compose({baseName:"badge",template:badgeTemplate,styles:badgeStyles}),BaseButtonStyles=css$1`
+	${display("inline-flex")} :host {
+		outline: none;
+		font-family: ${fontFamily};
+		font-size: ${typeRampBaseFontSize};
+		line-height: ${typeRampBaseLineHeight};
+		color: ${buttonPrimaryForeground};
+		background: ${buttonPrimaryBackground};
+		border-radius: calc(${cornerRadiusRound} * 1px);
+		fill: currentColor;
+		cursor: pointer;
+	}
+	.control {
+		background: transparent;
+		height: inherit;
+		flex-grow: 1;
+		box-sizing: border-box;
+		display: inline-flex;
+		justify-content: center;
+		align-items: center;
+		padding: ${buttonPaddingVertical} ${buttonPaddingHorizontal};
+		white-space: wrap;
+		outline: none;
+		text-decoration: none;
+		border: calc(${borderWidth} * 1px) solid ${buttonBorder};
+		color: inherit;
+		border-radius: inherit;
+		fill: inherit;
+		cursor: inherit;
+		font-family: inherit;
+	}
+	:host(:hover) {
+		background: ${buttonPrimaryHoverBackground};
+	}
+	:host(:active) {
+		background: ${buttonPrimaryBackground};
+	}
+	.control:${focusVisible} {
+		outline: calc(${borderWidth} * 1px) solid ${focusBorder};
+		outline-offset: calc(${borderWidth} * 2px);
+	}
+	.control::-moz-focus-inner {
+		border: 0;
+	}
+	:host([disabled]) {
+		opacity: ${disabledOpacity};
+		background: ${buttonPrimaryBackground};
+		cursor: ${disabledCursor};
+	}
+	.content {
+		display: flex;
+	}
+	.start {
+		display: flex;
+	}
+	::slotted(svg),
+	::slotted(span) {
+		width: calc(${designUnit} * 4px);
+		height: calc(${designUnit} * 4px);
+	}
+	.start {
+		margin-inline-end: 8px;
+	}
+`,PrimaryButtonStyles=css$1`
+	:host([appearance='primary']) {
+		background: ${buttonPrimaryBackground};
+		color: ${buttonPrimaryForeground};
+	}
+	:host([appearance='primary']:hover) {
+		background: ${buttonPrimaryHoverBackground};
+	}
+	:host([appearance='primary']:active) .control:active {
+		background: ${buttonPrimaryBackground};
+	}
+	:host([appearance='primary']) .control:${focusVisible} {
+		outline: calc(${borderWidth} * 1px) solid ${focusBorder};
+		outline-offset: calc(${borderWidth} * 2px);
+	}
+	:host([appearance='primary'][disabled]) {
+		background: ${buttonPrimaryBackground};
+	}
+`,SecondaryButtonStyles=css$1`
+	:host([appearance='secondary']) {
+		background: ${buttonSecondaryBackground};
+		color: ${buttonSecondaryForeground};
+	}
+	:host([appearance='secondary']:hover) {
+		background: ${buttonSecondaryHoverBackground};
+	}
+	:host([appearance='secondary']:active) .control:active {
+		background: ${buttonSecondaryBackground};
+	}
+	:host([appearance='secondary']) .control:${focusVisible} {
+		outline: calc(${borderWidth} * 1px) solid ${focusBorder};
+		outline-offset: calc(${borderWidth} * 2px);
+	}
+	:host([appearance='secondary'][disabled]) {
+		background: ${buttonSecondaryBackground};
+	}
+`,IconButtonStyles=css$1`
+	:host([appearance='icon']) {
+		background: ${buttonIconBackground};
+		border-radius: ${buttonIconCornerRadius};
+		color: ${foreground};
+	}
+	:host([appearance='icon']:hover) {
+		background: ${buttonIconHoverBackground};
+		outline: 1px dotted ${contrastActiveBorder};
+		outline-offset: -1px;
+	}
+	:host([appearance='icon']) .control {
+		padding: ${buttonIconPadding};
+		border: none;
+	}
+	:host([appearance='icon']:active) .control:active {
+		background: ${buttonIconHoverBackground};
+	}
+	:host([appearance='icon']) .control:${focusVisible} {
+		outline: calc(${borderWidth} * 1px) solid ${focusBorder};
+		outline-offset: ${buttonIconFocusBorderOffset};
+	}
+	:host([appearance='icon'][disabled]) {
+		background: ${buttonIconBackground};
+	}
+`,buttonStyles=(eo,to)=>css$1`
+	${BaseButtonStyles}
+	${PrimaryButtonStyles}
+	${SecondaryButtonStyles}
+	${IconButtonStyles}
+`;class Button extends Button$1{connectedCallback(){if(super.connectedCallback(),!this.appearance){const to=this.getAttribute("appearance");this.appearance=to}}attributeChangedCallback(to,ro,no){to==="appearance"&&no==="icon"&&(this.getAttribute("aria-label")||(this.ariaLabel="Icon Button")),to==="aria-label"&&(this.ariaLabel=no),to==="disabled"&&(this.disabled=no!==null)}}__decorate$1([attr],Button.prototype,"appearance",void 0);const vsCodeButton=Button.compose({baseName:"button",template:buttonTemplate,styles:buttonStyles,shadowOptions:{delegatesFocus:!0}}),checkboxStyles=(eo,to)=>css$1`
+	${display("inline-flex")} :host {
+		align-items: center;
+		outline: none;
+		margin: calc(${designUnit} * 1px) 0;
+		user-select: none;
+		font-size: ${typeRampBaseFontSize};
+		line-height: ${typeRampBaseLineHeight};
+	}
+	.control {
+		position: relative;
+		width: calc(${designUnit} * 4px + 2px);
+		height: calc(${designUnit} * 4px + 2px);
+		box-sizing: border-box;
+		border-radius: calc(${checkboxCornerRadius} * 1px);
+		border: calc(${borderWidth} * 1px) solid ${checkboxBorder};
+		background: ${checkboxBackground};
+		outline: none;
+		cursor: pointer;
+	}
+	.label {
+		font-family: ${fontFamily};
+		color: ${foreground};
+		padding-inline-start: calc(${designUnit} * 2px + 2px);
+		margin-inline-end: calc(${designUnit} * 2px + 2px);
+		cursor: pointer;
+	}
+	.label__hidden {
+		display: none;
+		visibility: hidden;
+	}
+	.checked-indicator {
+		width: 100%;
+		height: 100%;
+		display: block;
+		fill: ${foreground};
+		opacity: 0;
+		pointer-events: none;
+	}
+	.indeterminate-indicator {
+		border-radius: 2px;
+		background: ${foreground};
+		position: absolute;
+		top: 50%;
+		left: 50%;
+		width: 50%;
+		height: 50%;
+		transform: translate(-50%, -50%);
+		opacity: 0;
+	}
+	:host(:enabled) .control:hover {
+		background: ${checkboxBackground};
+		border-color: ${checkboxBorder};
+	}
+	:host(:enabled) .control:active {
+		background: ${checkboxBackground};
+		border-color: ${focusBorder};
+	}
+	:host(:${focusVisible}) .control {
+		border: calc(${borderWidth} * 1px) solid ${focusBorder};
+	}
+	:host(.disabled) .label,
+	:host(.readonly) .label,
+	:host(.readonly) .control,
+	:host(.disabled) .control {
+		cursor: ${disabledCursor};
+	}
+	:host(.checked:not(.indeterminate)) .checked-indicator,
+	:host(.indeterminate) .indeterminate-indicator {
+		opacity: 1;
+	}
+	:host(.disabled) {
+		opacity: ${disabledOpacity};
+	}
+`;class Checkbox extends Checkbox$1{connectedCallback(){super.connectedCallback(),this.textContent?this.setAttribute("aria-label",this.textContent):this.setAttribute("aria-label","Checkbox")}}const vsCodeCheckbox=Checkbox.compose({baseName:"checkbox",template:checkboxTemplate,styles:checkboxStyles,checkedIndicator:`
+		<svg 
+			part="checked-indicator"
+			class="checked-indicator"
+			width="16" 
+			height="16" 
+			viewBox="0 0 16 16" 
+			xmlns="http://www.w3.org/2000/svg" 
+			fill="currentColor"
+		>
+			<path 
+				fill-rule="evenodd" 
+				clip-rule="evenodd" 
+				d="M14.431 3.323l-8.47 10-.79-.036-3.35-4.77.818-.574 2.978 4.24 8.051-9.506.764.646z"
+			/>
+		</svg>
+	`,indeterminateIndicator:`
+		<div part="indeterminate-indicator" class="indeterminate-indicator"></div>
+	`}),dataGridStyles=(eo,to)=>css$1`
+	:host {
+		display: flex;
+		position: relative;
+		flex-direction: column;
+		width: 100%;
+	}
+`,dataGridRowStyles=(eo,to)=>css$1`
+	:host {
+		display: grid;
+		padding: calc((${designUnit} / 4) * 1px) 0;
+		box-sizing: border-box;
+		width: 100%;
+		background: transparent;
+	}
+	:host(.header) {
+	}
+	:host(.sticky-header) {
+		background: ${background$1};
+		position: sticky;
+		top: 0;
+	}
+	:host(:hover) {
+		background: ${listHoverBackground};
+		outline: 1px dotted ${contrastActiveBorder};
+		outline-offset: -1px;
+	}
+`,dataGridCellStyles=(eo,to)=>css$1`
+	:host {
+		padding: calc(${designUnit} * 1px) calc(${designUnit} * 3px);
+		color: ${foreground};
+		opacity: 1;
+		box-sizing: border-box;
+		font-family: ${fontFamily};
+		font-size: ${typeRampBaseFontSize};
+		line-height: ${typeRampBaseLineHeight};
+		font-weight: 400;
+		border: solid calc(${borderWidth} * 1px) transparent;
+		border-radius: calc(${cornerRadius} * 1px);
+		white-space: wrap;
+		overflow-wrap: anywhere;
+	}
+	:host(.column-header) {
+		font-weight: 600;
+	}
+	:host(:${focusVisible}),
+	:host(:focus),
+	:host(:active) {
+		background: ${listActiveSelectionBackground};
+		border: solid calc(${borderWidth} * 1px) ${focusBorder};
+		color: ${listActiveSelectionForeground};
+		outline: none;
+	}
+	:host(:${focusVisible}) ::slotted(*),
+	:host(:focus) ::slotted(*),
+	:host(:active) ::slotted(*) {
+		color: ${listActiveSelectionForeground} !important;
+	}
+`;class DataGrid extends DataGrid$1{connectedCallback(){super.connectedCallback(),this.getAttribute("aria-label")||this.setAttribute("aria-label","Data Grid")}}const vsCodeDataGrid=DataGrid.compose({baseName:"data-grid",baseClass:DataGrid$1,template:dataGridTemplate,styles:dataGridStyles});class DataGridRow extends DataGridRow$1{}const vsCodeDataGridRow=DataGridRow.compose({baseName:"data-grid-row",baseClass:DataGridRow$1,template:dataGridRowTemplate,styles:dataGridRowStyles});class DataGridCell extends DataGridCell$1{}const vsCodeDataGridCell=DataGridCell.compose({baseName:"data-grid-cell",baseClass:DataGridCell$1,template:dataGridCellTemplate,styles:dataGridCellStyles}),dividerStyles=(eo,to)=>css$1`
+	${display("block")} :host {
+		border: none;
+		border-top: calc(${borderWidth} * 1px) solid ${dividerBackground};
+		box-sizing: content-box;
+		height: 0;
+		margin: calc(${designUnit} * 1px) 0;
+		width: 100%;
+	}
+`;class Divider extends Divider$1{}const vsCodeDivider=Divider.compose({baseName:"divider",template:dividerTemplate,styles:dividerStyles}),dropdownStyles=(eo,to)=>css$1`
+	${display("inline-flex")} :host {
+		background: ${dropdownBackground};
+		border-radius: calc(${cornerRadiusRound} * 1px);
+		box-sizing: border-box;
+		color: ${foreground};
+		contain: contents;
+		font-family: ${fontFamily};
+		height: calc(${inputHeight} * 1px);
+		position: relative;
+		user-select: none;
+		min-width: ${inputMinWidth};
+		outline: none;
+		vertical-align: top;
+	}
+	.control {
+		align-items: center;
+		box-sizing: border-box;
+		border: calc(${borderWidth} * 1px) solid ${dropdownBorder};
+		border-radius: calc(${cornerRadiusRound} * 1px);
+		cursor: pointer;
+		display: flex;
+		font-family: inherit;
+		font-size: ${typeRampBaseFontSize};
+		line-height: ${typeRampBaseLineHeight};
+		min-height: 100%;
+		padding: 2px 6px 2px 8px;
+		width: 100%;
+	}
+	.listbox {
+		background: ${dropdownBackground};
+		border: calc(${borderWidth} * 1px) solid ${focusBorder};
+		border-radius: calc(${cornerRadiusRound} * 1px);
+		box-sizing: border-box;
+		display: inline-flex;
+		flex-direction: column;
+		left: 0;
+		max-height: ${dropdownListMaxHeight};
+		padding: 0;
+		overflow-y: auto;
+		position: absolute;
+		width: 100%;
+		z-index: 1;
+	}
+	.listbox[hidden] {
+		display: none;
+	}
+	:host(:${focusVisible}) .control {
+		border-color: ${focusBorder};
+	}
+	:host(:not([disabled]):hover) {
+		background: ${dropdownBackground};
+		border-color: ${dropdownBorder};
+	}
+	:host(:${focusVisible}) ::slotted([aria-selected="true"][role="option"]:not([disabled])) {
+		background: ${listActiveSelectionBackground};
+		border: calc(${borderWidth} * 1px) solid transparent;
+		color: ${listActiveSelectionForeground};
+	}
+	:host([disabled]) {
+		cursor: ${disabledCursor};
+		opacity: ${disabledOpacity};
+	}
+	:host([disabled]) .control {
+		cursor: ${disabledCursor};
+		user-select: none;
+	}
+	:host([disabled]:hover) {
+		background: ${dropdownBackground};
+		color: ${foreground};
+		fill: currentcolor;
+	}
+	:host(:not([disabled])) .control:active {
+		border-color: ${focusBorder};
+	}
+	:host(:empty) .listbox {
+		display: none;
+	}
+	:host([open]) .control {
+		border-color: ${focusBorder};
+	}
+	:host([open][position='above']) .listbox {
+		border-bottom-left-radius: 0;
+		border-bottom-right-radius: 0;
+	}
+	:host([open][position='below']) .listbox {
+		border-top-left-radius: 0;
+		border-top-right-radius: 0;
+	}
+	:host([open][position='above']) .listbox {
+		bottom: calc(${inputHeight} * 1px);
+	}
+	:host([open][position='below']) .listbox {
+		top: calc(${inputHeight} * 1px);
+	}
+	.selected-value {
+		flex: 1 1 auto;
+		font-family: inherit;
+		overflow: hidden;
+		text-align: start;
+		text-overflow: ellipsis;
+		white-space: nowrap;
+	}
+	.indicator {
+		flex: 0 0 auto;
+		margin-inline-start: 1em;
+	}
+	slot[name='listbox'] {
+		display: none;
+		width: 100%;
+	}
+	:host([open]) slot[name='listbox'] {
+		display: flex;
+		position: absolute;
+	}
+	.end {
+		margin-inline-start: auto;
+	}
+	.start,
+	.end,
+	.indicator,
+	.select-indicator,
+	::slotted(svg),
+	::slotted(span) {
+		fill: currentcolor;
+		height: 1em;
+		min-height: calc(${designUnit} * 4px);
+		min-width: calc(${designUnit} * 4px);
+		width: 1em;
+	}
+	::slotted([role='option']),
+	::slotted(option) {
+		flex: 0 0 auto;
+	}
+`;class Dropdown extends Select{}const vsCodeDropdown=Dropdown.compose({baseName:"dropdown",template:selectTemplate,styles:dropdownStyles,indicator:`
+		<svg 
+			class="select-indicator"
+			part="select-indicator"
+			width="16" 
+			height="16" 
+			viewBox="0 0 16 16" 
+			xmlns="http://www.w3.org/2000/svg" 
+			fill="currentColor"
+		>
+			<path 
+				fill-rule="evenodd" 
+				clip-rule="evenodd" 
+				d="M7.976 10.072l4.357-4.357.62.618L8.284 11h-.618L3 6.333l.619-.618 4.357 4.357z"
+			/>
+		</svg>
+	`}),linkStyles=(eo,to)=>css$1`
+	${display("inline-flex")} :host {
+		background: transparent;
+		box-sizing: border-box;
+		color: ${linkForeground};
+		cursor: pointer;
+		fill: currentcolor;
+		font-family: ${fontFamily};
+		font-size: ${typeRampBaseFontSize};
+		line-height: ${typeRampBaseLineHeight};
+		outline: none;
+	}
+	.control {
+		background: transparent;
+		border: calc(${borderWidth} * 1px) solid transparent;
+		border-radius: calc(${cornerRadius} * 1px);
+		box-sizing: border-box;
+		color: inherit;
+		cursor: inherit;
+		fill: inherit;
+		font-family: inherit;
+		height: inherit;
+		padding: 0;
+		outline: none;
+		text-decoration: none;
+		word-break: break-word;
+	}
+	.control::-moz-focus-inner {
+		border: 0;
+	}
+	:host(:hover) {
+		color: ${linkActiveForeground};
+	}
+	:host(:hover) .content {
+		text-decoration: underline;
+	}
+	:host(:active) {
+		background: transparent;
+		color: ${linkActiveForeground};
+	}
+	:host(:${focusVisible}) .control,
+	:host(:focus) .control {
+		border: calc(${borderWidth} * 1px) solid ${focusBorder};
+	}
+`;class Link extends Anchor{}const vsCodeLink=Link.compose({baseName:"link",template:anchorTemplate,styles:linkStyles,shadowOptions:{delegatesFocus:!0}}),optionStyles=(eo,to)=>css$1`
+	${display("inline-flex")} :host {
+		font-family: var(--body-font);
+		border-radius: ${cornerRadius};
+		border: calc(${borderWidth} * 1px) solid transparent;
+		box-sizing: border-box;
+		color: ${foreground};
+		cursor: pointer;
+		fill: currentcolor;
+		font-size: ${typeRampBaseFontSize};
+		line-height: ${typeRampBaseLineHeight};
+		margin: 0;
+		outline: none;
+		overflow: hidden;
+		padding: 0 calc((${designUnit} / 2) * 1px)
+			calc((${designUnit} / 4) * 1px);
+		user-select: none;
+		white-space: nowrap;
+	}
+	:host(:${focusVisible}) {
+		border-color: ${focusBorder};
+		background: ${listActiveSelectionBackground};
+		color: ${foreground};
+	}
+	:host([aria-selected='true']) {
+		background: ${listActiveSelectionBackground};
+		border: calc(${borderWidth} * 1px) solid transparent;
+		color: ${listActiveSelectionForeground};
+	}
+	:host(:active) {
+		background: ${listActiveSelectionBackground};
+		color: ${listActiveSelectionForeground};
+	}
+	:host(:not([aria-selected='true']):hover) {
+		background: ${listActiveSelectionBackground};
+		border: calc(${borderWidth} * 1px) solid transparent;
+		color: ${listActiveSelectionForeground};
+	}
+	:host(:not([aria-selected='true']):active) {
+		background: ${listActiveSelectionBackground};
+		color: ${foreground};
+	}
+	:host([disabled]) {
+		cursor: ${disabledCursor};
+		opacity: ${disabledOpacity};
+	}
+	:host([disabled]:hover) {
+		background-color: inherit;
+	}
+	.content {
+		grid-column-start: 2;
+		justify-self: start;
+		overflow: hidden;
+		text-overflow: ellipsis;
+	}
+`;let Option$2=class extends ListboxOption{connectedCallback(){super.connectedCallback(),this.textContent?this.setAttribute("aria-label",this.textContent):this.setAttribute("aria-label","Option")}};const vsCodeOption=Option$2.compose({baseName:"option",template:listboxOptionTemplate,styles:optionStyles}),panelsStyles=(eo,to)=>css$1`
+	${display("grid")} :host {
+		box-sizing: border-box;
+		font-family: ${fontFamily};
+		font-size: ${typeRampBaseFontSize};
+		line-height: ${typeRampBaseLineHeight};
+		color: ${foreground};
+		grid-template-columns: auto 1fr auto;
+		grid-template-rows: auto 1fr;
+		overflow-x: auto;
+	}
+	.tablist {
+		display: grid;
+		grid-template-rows: auto auto;
+		grid-template-columns: auto;
+		column-gap: calc(${designUnit} * 8px);
+		position: relative;
+		width: max-content;
+		align-self: end;
+		padding: calc(${designUnit} * 1px) calc(${designUnit} * 1px) 0;
+		box-sizing: border-box;
+	}
+	.start,
+	.end {
+		align-self: center;
+	}
+	.activeIndicator {
+		grid-row: 2;
+		grid-column: 1;
+		width: 100%;
+		height: calc((${designUnit} / 4) * 1px);
+		justify-self: center;
+		background: ${panelTabActiveForeground};
+		margin: 0;
+		border-radius: calc(${cornerRadius} * 1px);
+	}
+	.activeIndicatorTransition {
+		transition: transform 0.01s linear;
+	}
+	.tabpanel {
+		grid-row: 2;
+		grid-column-start: 1;
+		grid-column-end: 4;
+		position: relative;
+	}
+`,panelTabStyles=(eo,to)=>css$1`
+	${display("inline-flex")} :host {
+		box-sizing: border-box;
+		font-family: ${fontFamily};
+		font-size: ${typeRampBaseFontSize};
+		line-height: ${typeRampBaseLineHeight};
+		height: calc(${designUnit} * 7px);
+		padding: calc(${designUnit} * 1px) 0;
+		color: ${panelTabForeground};
+		fill: currentcolor;
+		border-radius: calc(${cornerRadius} * 1px);
+		border: solid calc(${borderWidth} * 1px) transparent;
+		align-items: center;
+		justify-content: center;
+		grid-row: 1;
+		cursor: pointer;
+	}
+	:host(:hover) {
+		color: ${panelTabActiveForeground};
+		fill: currentcolor;
+	}
+	:host(:active) {
+		color: ${panelTabActiveForeground};
+		fill: currentcolor;
+	}
+	:host([aria-selected='true']) {
+		background: transparent;
+		color: ${panelTabActiveForeground};
+		fill: currentcolor;
+	}
+	:host([aria-selected='true']:hover) {
+		background: transparent;
+		color: ${panelTabActiveForeground};
+		fill: currentcolor;
+	}
+	:host([aria-selected='true']:active) {
+		background: transparent;
+		color: ${panelTabActiveForeground};
+		fill: currentcolor;
+	}
+	:host(:${focusVisible}) {
+		outline: none;
+		border: solid calc(${borderWidth} * 1px) ${panelTabActiveBorder};
+	}
+	:host(:focus) {
+		outline: none;
+	}
+	::slotted(vscode-badge) {
+		margin-inline-start: calc(${designUnit} * 2px);
+	}
+`,panelViewStyles=(eo,to)=>css$1`
+	${display("flex")} :host {
+		color: inherit;
+		background-color: transparent;
+		border: solid calc(${borderWidth} * 1px) transparent;
+		box-sizing: border-box;
+		font-size: ${typeRampBaseFontSize};
+		line-height: ${typeRampBaseLineHeight};
+		padding: 10px calc((${designUnit} + 2) * 1px);
+	}
+`;class Panels extends Tabs{connectedCallback(){super.connectedCallback(),this.orientation&&(this.orientation=TabsOrientation.horizontal),this.getAttribute("aria-label")||this.setAttribute("aria-label","Panels")}}const vsCodePanels=Panels.compose({baseName:"panels",template:tabsTemplate,styles:panelsStyles});class PanelTab extends Tab{connectedCallback(){super.connectedCallback(),this.disabled&&(this.disabled=!1),this.textContent&&this.setAttribute("aria-label",this.textContent)}}const vsCodePanelTab=PanelTab.compose({baseName:"panel-tab",template:tabTemplate,styles:panelTabStyles});class PanelView extends TabPanel{}const vsCodePanelView=PanelView.compose({baseName:"panel-view",template:tabPanelTemplate,styles:panelViewStyles}),progressRingStyles=(eo,to)=>css$1`
+	${display("flex")} :host {
+		align-items: center;
+		outline: none;
+		height: calc(${designUnit} * 7px);
+		width: calc(${designUnit} * 7px);
+		margin: 0;
+	}
+	.progress {
+		height: 100%;
+		width: 100%;
+	}
+	.background {
+		fill: none;
+		stroke: transparent;
+		stroke-width: calc(${designUnit} / 2 * 1px);
+	}
+	.indeterminate-indicator-1 {
+		fill: none;
+		stroke: ${progressBackground};
+		stroke-width: calc(${designUnit} / 2 * 1px);
+		stroke-linecap: square;
+		transform-origin: 50% 50%;
+		transform: rotate(-90deg);
+		transition: all 0.2s ease-in-out;
+		animation: spin-infinite 2s linear infinite;
+	}
+	@keyframes spin-infinite {
+		0% {
+			stroke-dasharray: 0.01px 43.97px;
+			transform: rotate(0deg);
+		}
+		50% {
+			stroke-dasharray: 21.99px 21.99px;
+			transform: rotate(450deg);
+		}
+		100% {
+			stroke-dasharray: 0.01px 43.97px;
+			transform: rotate(1080deg);
+		}
+	}
+`;class ProgressRing extends BaseProgress{connectedCallback(){super.connectedCallback(),this.paused&&(this.paused=!1),this.setAttribute("aria-label","Loading"),this.setAttribute("aria-live","assertive"),this.setAttribute("role","alert")}attributeChangedCallback(to,ro,no){to==="value"&&this.removeAttribute("value")}}const vsCodeProgressRing=ProgressRing.compose({baseName:"progress-ring",template:progressRingTemplate,styles:progressRingStyles,indeterminateIndicator:`
+		<svg class="progress" part="progress" viewBox="0 0 16 16">
+			<circle
+				class="background"
+				part="background"
+				cx="8px"
+				cy="8px"
+				r="7px"
+			></circle>
+			<circle
+				class="indeterminate-indicator-1"
+				part="indeterminate-indicator-1"
+				cx="8px"
+				cy="8px"
+				r="7px"
+			></circle>
+		</svg>
+	`}),radioGroupStyles=(eo,to)=>css$1`
+	${display("flex")} :host {
+		align-items: flex-start;
+		margin: calc(${designUnit} * 1px) 0;
+		flex-direction: column;
+	}
+	.positioning-region {
+		display: flex;
+		flex-wrap: wrap;
+	}
+	:host([orientation='vertical']) .positioning-region {
+		flex-direction: column;
+	}
+	:host([orientation='horizontal']) .positioning-region {
+		flex-direction: row;
+	}
+	::slotted([slot='label']) {
+		color: ${foreground};
+		font-size: ${typeRampBaseFontSize};
+		margin: calc(${designUnit} * 1px) 0;
+	}
+`;class RadioGroup extends RadioGroup$1{connectedCallback(){super.connectedCallback();const to=this.querySelector("label");if(to){const ro="radio-group-"+Math.random().toString(16).slice(2);to.setAttribute("id",ro),this.setAttribute("aria-labelledby",ro)}}}const vsCodeRadioGroup=RadioGroup.compose({baseName:"radio-group",template:radioGroupTemplate,styles:radioGroupStyles}),radioStyles=(eo,to)=>css$1`
+	${display("inline-flex")} :host {
+		align-items: center;
+		flex-direction: row;
+		font-size: ${typeRampBaseFontSize};
+		line-height: ${typeRampBaseLineHeight};
+		margin: calc(${designUnit} * 1px) 0;
+		outline: none;
+		position: relative;
+		transition: all 0.2s ease-in-out;
+		user-select: none;
+	}
+	.control {
+		background: ${checkboxBackground};
+		border-radius: 999px;
+		border: calc(${borderWidth} * 1px) solid ${checkboxBorder};
+		box-sizing: border-box;
+		cursor: pointer;
+		height: calc(${designUnit} * 4px);
+		position: relative;
+		outline: none;
+		width: calc(${designUnit} * 4px);
+	}
+	.label {
+		color: ${foreground};
+		cursor: pointer;
+		font-family: ${fontFamily};
+		margin-inline-end: calc(${designUnit} * 2px + 2px);
+		padding-inline-start: calc(${designUnit} * 2px + 2px);
+	}
+	.label__hidden {
+		display: none;
+		visibility: hidden;
+	}
+	.control,
+	.checked-indicator {
+		flex-shrink: 0;
+	}
+	.checked-indicator {
+		background: ${foreground};
+		border-radius: 999px;
+		display: inline-block;
+		inset: calc(${designUnit} * 1px);
+		opacity: 0;
+		pointer-events: none;
+		position: absolute;
+	}
+	:host(:not([disabled])) .control:hover {
+		background: ${checkboxBackground};
+		border-color: ${checkboxBorder};
+	}
+	:host(:not([disabled])) .control:active {
+		background: ${checkboxBackground};
+		border-color: ${focusBorder};
+	}
+	:host(:${focusVisible}) .control {
+		border: calc(${borderWidth} * 1px) solid ${focusBorder};
+	}
+	:host([aria-checked='true']) .control {
+		background: ${checkboxBackground};
+		border: calc(${borderWidth} * 1px) solid ${checkboxBorder};
+	}
+	:host([aria-checked='true']:not([disabled])) .control:hover {
+		background: ${checkboxBackground};
+		border: calc(${borderWidth} * 1px) solid ${checkboxBorder};
+	}
+	:host([aria-checked='true']:not([disabled])) .control:active {
+		background: ${checkboxBackground};
+		border: calc(${borderWidth} * 1px) solid ${focusBorder};
+	}
+	:host([aria-checked="true"]:${focusVisible}:not([disabled])) .control {
+		border: calc(${borderWidth} * 1px) solid ${focusBorder};
+	}
+	:host([disabled]) .label,
+	:host([readonly]) .label,
+	:host([readonly]) .control,
+	:host([disabled]) .control {
+		cursor: ${disabledCursor};
+	}
+	:host([aria-checked='true']) .checked-indicator {
+		opacity: 1;
+	}
+	:host([disabled]) {
+		opacity: ${disabledOpacity};
+	}
+`;class Radio extends Radio$1{connectedCallback(){super.connectedCallback(),this.textContent?this.setAttribute("aria-label",this.textContent):this.setAttribute("aria-label","Radio")}}const vsCodeRadio=Radio.compose({baseName:"radio",template:radioTemplate,styles:radioStyles,checkedIndicator:`
+		<div part="checked-indicator" class="checked-indicator"></div>
+	`}),tagStyles=(eo,to)=>css$1`
+	${display("inline-block")} :host {
+		box-sizing: border-box;
+		font-family: ${fontFamily};
+		font-size: ${typeRampMinus1FontSize};
+		line-height: ${typeRampMinus1LineHeight};
+	}
+	.control {
+		background-color: ${badgeBackground};
+		border: calc(${borderWidth} * 1px) solid ${buttonBorder};
+		border-radius: ${tagCornerRadius};
+		color: ${badgeForeground};
+		padding: calc(${designUnit} * 0.5px) calc(${designUnit} * 1px);
+		text-transform: uppercase;
+	}
+`;let Tag$1=class extends Badge$1{connectedCallback(){super.connectedCallback(),this.circular&&(this.circular=!1)}};const vsCodeTag=Tag$1.compose({baseName:"tag",template:badgeTemplate,styles:tagStyles}),textAreaStyles=(eo,to)=>css$1`
+	${display("inline-block")} :host {
+		font-family: ${fontFamily};
+		outline: none;
+		user-select: none;
+	}
+	.control {
+		box-sizing: border-box;
+		position: relative;
+		color: ${inputForeground};
+		background: ${inputBackground};
+		border-radius: calc(${cornerRadiusRound} * 1px);
+		border: calc(${borderWidth} * 1px) solid ${dropdownBorder};
+		font: inherit;
+		font-size: ${typeRampBaseFontSize};
+		line-height: ${typeRampBaseLineHeight};
+		padding: calc(${designUnit} * 2px + 1px);
+		width: 100%;
+		min-width: ${inputMinWidth};
+		resize: none;
+	}
+	.control:hover:enabled {
+		background: ${inputBackground};
+		border-color: ${dropdownBorder};
+	}
+	.control:active:enabled {
+		background: ${inputBackground};
+		border-color: ${focusBorder};
+	}
+	.control:hover,
+	.control:${focusVisible},
+	.control:disabled,
+	.control:active {
+		outline: none;
+	}
+	.control::-webkit-scrollbar {
+		width: ${scrollbarWidth};
+		height: ${scrollbarHeight};
+	}
+	.control::-webkit-scrollbar-corner {
+		background: ${inputBackground};
+	}
+	.control::-webkit-scrollbar-thumb {
+		background: ${scrollbarSliderBackground};
+	}
+	.control::-webkit-scrollbar-thumb:hover {
+		background: ${scrollbarSliderHoverBackground};
+	}
+	.control::-webkit-scrollbar-thumb:active {
+		background: ${scrollbarSliderActiveBackground};
+	}
+	:host(:focus-within:not([disabled])) .control {
+		border-color: ${focusBorder};
+	}
+	:host([resize='both']) .control {
+		resize: both;
+	}
+	:host([resize='horizontal']) .control {
+		resize: horizontal;
+	}
+	:host([resize='vertical']) .control {
+		resize: vertical;
+	}
+	.label {
+		display: block;
+		color: ${foreground};
+		cursor: pointer;
+		font-size: ${typeRampBaseFontSize};
+		line-height: ${typeRampBaseLineHeight};
+		margin-bottom: 2px;
+	}
+	.label__hidden {
+		display: none;
+		visibility: hidden;
+	}
+	:host([disabled]) .label,
+	:host([readonly]) .label,
+	:host([readonly]) .control,
+	:host([disabled]) .control {
+		cursor: ${disabledCursor};
+	}
+	:host([disabled]) {
+		opacity: ${disabledOpacity};
+	}
+	:host([disabled]) .control {
+		border-color: ${dropdownBorder};
+	}
+`;class TextArea extends TextArea$1{connectedCallback(){super.connectedCallback(),this.textContent?this.setAttribute("aria-label",this.textContent):this.setAttribute("aria-label","Text area")}}const vsCodeTextArea=TextArea.compose({baseName:"text-area",template:textAreaTemplate,styles:textAreaStyles,shadowOptions:{delegatesFocus:!0}}),textFieldStyles=(eo,to)=>css$1`
+	${display("inline-block")} :host {
+		font-family: ${fontFamily};
+		outline: none;
+		user-select: none;
+	}
+	.root {
+		box-sizing: border-box;
+		position: relative;
+		display: flex;
+		flex-direction: row;
+		color: ${inputForeground};
+		background: ${inputBackground};
+		border-radius: calc(${cornerRadiusRound} * 1px);
+		border: calc(${borderWidth} * 1px) solid ${dropdownBorder};
+		height: calc(${inputHeight} * 1px);
+		min-width: ${inputMinWidth};
+	}
+	.control {
+		-webkit-appearance: none;
+		font: inherit;
+		background: transparent;
+		border: 0;
+		color: inherit;
+		height: calc(100% - (${designUnit} * 1px));
+		width: 100%;
+		margin-top: auto;
+		margin-bottom: auto;
+		border: none;
+		padding: 0 calc(${designUnit} * 2px + 1px);
+		font-size: ${typeRampBaseFontSize};
+		line-height: ${typeRampBaseLineHeight};
+	}
+	.control:hover,
+	.control:${focusVisible},
+	.control:disabled,
+	.control:active {
+		outline: none;
+	}
+	.label {
+		display: block;
+		color: ${foreground};
+		cursor: pointer;
+		font-size: ${typeRampBaseFontSize};
+		line-height: ${typeRampBaseLineHeight};
+		margin-bottom: 2px;
+	}
+	.label__hidden {
+		display: none;
+		visibility: hidden;
+	}
+	.start,
+	.end {
+		display: flex;
+		margin: auto;
+		fill: currentcolor;
+	}
+	::slotted(svg),
+	::slotted(span) {
+		width: calc(${designUnit} * 4px);
+		height: calc(${designUnit} * 4px);
+	}
+	.start {
+		margin-inline-start: calc(${designUnit} * 2px);
+	}
+	.end {
+		margin-inline-end: calc(${designUnit} * 2px);
+	}
+	:host(:hover:not([disabled])) .root {
+		background: ${inputBackground};
+		border-color: ${dropdownBorder};
+	}
+	:host(:active:not([disabled])) .root {
+		background: ${inputBackground};
+		border-color: ${focusBorder};
+	}
+	:host(:focus-within:not([disabled])) .root {
+		border-color: ${focusBorder};
+	}
+	:host([disabled]) .label,
+	:host([readonly]) .label,
+	:host([readonly]) .control,
+	:host([disabled]) .control {
+		cursor: ${disabledCursor};
+	}
+	:host([disabled]) {
+		opacity: ${disabledOpacity};
+	}
+	:host([disabled]) .control {
+		border-color: ${dropdownBorder};
+	}
+`;class TextField extends TextField$1{connectedCallback(){super.connectedCallback(),this.textContent?this.setAttribute("aria-label",this.textContent):this.setAttribute("aria-label","Text field")}}const vsCodeTextField=TextField.compose({baseName:"text-field",template:textFieldTemplate,styles:textFieldStyles,shadowOptions:{delegatesFocus:!0}}),{wrap}=provideReactWrapper(React,provideVSCodeDesignSystem());wrap(vsCodeBadge(),{name:"vscode-badge"});wrap(vsCodeButton(),{name:"vscode-button"});wrap(vsCodeCheckbox(),{name:"vscode-checkbox",events:{onChange:"change"}});wrap(vsCodeDataGrid(),{name:"vscode-data-grid"});wrap(vsCodeDataGridCell(),{name:"vscode-data-grid-cell"});wrap(vsCodeDataGridRow(),{name:"vscode-data-grid-row"});wrap(vsCodeDivider(),{name:"vscode-divider"});wrap(vsCodeDropdown(),{name:"vscode-dropdown",events:{onChange:"change"}});wrap(vsCodeLink(),{name:"vscode-link"});wrap(vsCodeOption(),{name:"vscode-option"});wrap(vsCodePanels(),{name:"vscode-panels",events:{onChange:"change"}});wrap(vsCodePanelTab(),{name:"vscode-panel-tab"});wrap(vsCodePanelView(),{name:"vscode-panel-view"});const VSCodeProgressRing=wrap(vsCodeProgressRing(),{name:"vscode-progress-ring"});wrap(vsCodeRadio(),{name:"vscode-radio",events:{onChange:"change"}});wrap(vsCodeRadioGroup(),{name:"vscode-radio-group",events:{onChange:"change"}});wrap(vsCodeTag(),{name:"vscode-tag"});wrap(vsCodeTextArea(),{name:"vscode-text-area",events:{onChange:"change",onInput:"input"}});wrap(vsCodeTextField(),{name:"vscode-text-field",events:{onChange:"change",onInput:"input"}});const Loading=({isFullPage:eo=!1,style:to={}})=>{const ro=eo?{...to,height:"100vh",width:"100%"}:{...to};return jsxRuntimeExports.jsx(Stack$2,{horizontalAlign:"center",verticalAlign:"center",verticalFill:!0,style:ro,children:jsxRuntimeExports.jsx(VSCodeProgressRing,{})})};memoizeFunction((eo,to)=>mergeStyleSets({root:mergeStyles$1({display:"flex",flexDirection:"row",alignItems:"center",height:"30px",background:"var(--background)",width:"100%",...to&&{position:"fixed",top:0,zIndex:100}},eo),buttonGroup:{display:"flex",flexDirection:"row",height:"30px"},searchField:{marginRight:"100px",selectors:{"div.root":{height:"30px"}}}}));var toggleSelection=function(){var eo=document.getSelection();if(!eo.rangeCount)return function(){};for(var to=document.activeElement,ro=[],no=0;no<eo.rangeCount;no++)ro.push(eo.getRangeAt(no));switch(to.tagName.toUpperCase()){case"INPUT":case"TEXTAREA":to.blur();break;default:to=null;break}return 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So.a.createElement("div",null,So.a.createElement("div",$o(vs,"detected-row"),ps,So.a.createElement(Zl,{className:"edit-check detected",style:lo({verticalAlign:"top",paddingLeft:"3px"},$o(vs,"check-icon").style),onClick:function(){Bo.submitEdit(!0)}})))},Bo.getDetectedInput=function(){var Xo=Bo.state.parsedInput,vs=Xo.type,ys=Xo.value,ps=bo(Bo).props,Rs=ps.theme;if(vs!==!1)switch(vs.toLowerCase()){case"object":return So.a.createElement("span",null,So.a.createElement("span",{style:lo(lo({},$o(Rs,"brace").style),{},{cursor:"default"})},"{"),So.a.createElement("span",{style:lo(lo({},$o(Rs,"ellipsis").style),{},{cursor:"default"})},"..."),So.a.createElement("span",{style:lo(lo({},$o(Rs,"brace").style),{},{cursor:"default"})},"}"));case"array":return So.a.createElement("span",null,So.a.createElement("span",{style:lo(lo({},$o(Rs,"brace").style),{},{cursor:"default"})},"["),So.a.createElement("span",{style:lo(lo({},$o(Rs,"ellipsis").style),{},{cursor:"default"})},"..."),So.a.createElement("span",{style:lo(lo({},$o(Rs,"brace").style),{},{cursor:"default"})},"]"));case"string":return So.a.createElement(ga,Object.assign({value:ys},ps));case"integer":return So.a.createElement(zs,Object.assign({value:ys},ps));case"float":return So.a.createElement(Uo,Object.assign({value:ys},ps));case"boolean":return So.a.createElement(Ho,Object.assign({value:ys},ps));case"function":return So.a.createElement(Jo,Object.assign({value:ys},ps));case"null":return So.a.createElement(Bs,ps);case"nan":return So.a.createElement(Cs,ps);case"undefined":return So.a.createElement(Js,ps);case"date":return So.a.createElement(qo,Object.assign({value:new Date(ys)},ps))}},Bo.state={editMode:!1,editValue:"",hovered:!1,renameKey:!1,parsedInput:{type:!1,value:null}},Bo}return fo(zo,[{key:"render",value:function(){var Vo=this,Bo=this.props,Xo=Bo.variable,vs=Bo.singleIndent,ys=Bo.type,ps=Bo.theme,Rs=Bo.namespace,Us=Bo.indentWidth,Rl=Bo.enableClipboard,Ml=Bo.onEdit,Ol=Bo.onDelete,Cl=Bo.onSelect,Ul=Bo.displayArrayKey,fu=Bo.quotesOnKeys,Bl=this.state.editMode;return So.a.createElement("div",Object.assign({},$o(ps,"objectKeyVal",{paddingLeft:Us*vs}),{onMouseEnter:function(){return Vo.setState(lo(lo({},Vo.state),{},{hovered:!0}))},onMouseLeave:function(){return Vo.setState(lo(lo({},Vo.state),{},{hovered:!1}))},className:"variable-row",key:Xo.name}),ys=="array"?Ul?So.a.createElement("span",Object.assign({},$o(ps,"array-key"),{key:Xo.name+"_"+Rs}),Xo.name,So.a.createElement("div",$o(ps,"colon"),":")):null:So.a.createElement("span",null,So.a.createElement("span",Object.assign({},$o(ps,"object-name"),{className:"object-key",key:Xo.name+"_"+Rs}),!!fu&&So.a.createElement("span",{style:{verticalAlign:"top"}},'"'),So.a.createElement("span",{style:{display:"inline-block"}},Xo.name),!!fu&&So.a.createElement("span",{style:{verticalAlign:"top"}},'"')),So.a.createElement("span",$o(ps,"colon"),":")),So.a.createElement("div",Object.assign({className:"variable-value",onClick:Cl===!1&&Ml===!1?null:function(Eu){var Iu=Ss(Rs);(Eu.ctrlKey||Eu.metaKey)&&Ml!==!1?Vo.prepopInput(Xo):Cl!==!1&&(Iu.shift(),Cl(lo(lo({},Xo),{},{namespace:Iu})))}},$o(ps,"variableValue",{cursor:Cl===!1?"default":"pointer"})),this.getValue(Xo,Bl)),Rl?So.a.createElement(gu,{rowHovered:this.state.hovered,hidden:Bl,src:Xo.value,clickCallback:Rl,theme:ps,namespace:[].concat(Ss(Rs),[Xo.name])}):null,Ml!==!1&&Bl==0?this.getEditIcon():null,Ol!==!1&&Bl==0?this.getRemoveIcon():null)}}]),zo}(So.a.PureComponent),mu=function(Ko){po(zo,Ko);var Qo=_o(zo);function zo(){var Vo;uo(this,zo);for(var Bo=arguments.length,Xo=new Array(Bo),vs=0;vs<Bo;vs++)Xo[vs]=arguments[vs];return(Vo=Qo.call.apply(Qo,[this].concat(Xo))).getObjectSize=function(){var ys=Vo.props,ps=ys.size,Rs=ys.theme;if(ys.displayObjectSize)return So.a.createElement("span",Object.assign({className:"object-size"},$o(Rs,"object-size")),ps," item",ps===1?"":"s")},Vo.getAddAttribute=function(ys){var ps=Vo.props,Rs=ps.theme,Us=ps.namespace,Rl=ps.name,Ml=ps.src,Ol=ps.rjvId,Cl=ps.depth;return So.a.createElement("span",{className:"click-to-add",style:{verticalAlign:"top",display:ys?"inline-block":"none"}},So.a.createElement(zl,Object.assign({className:"click-to-add-icon"},$o(Rs,"addVarIcon"),{onClick:function(){var Ul={name:Cl>0?Rl:null,namespace:Us.splice(0,Us.length-1),existing_value:Ml,variable_removed:!1,key_name:null};Ro(Ml)==="object"?Ns.dispatch({name:"ADD_VARIABLE_KEY_REQUEST",rjvId:Ol,data:Ul}):Ns.dispatch({name:"VARIABLE_ADDED",rjvId:Ol,data:lo(lo({},Ul),{},{new_value:[].concat(Ss(Ml),[null])})})}})))},Vo.getRemoveObject=function(ys){var ps=Vo.props,Rs=ps.theme,Us=(ps.hover,ps.namespace),Rl=ps.name,Ml=ps.src,Ol=ps.rjvId;if(Us.length!==1)return So.a.createElement("span",{className:"click-to-remove",style:{display:ys?"inline-block":"none"}},So.a.createElement(au,Object.assign({className:"click-to-remove-icon"},$o(Rs,"removeVarIcon"),{onClick:function(){Ns.dispatch({name:"VARIABLE_REMOVED",rjvId:Ol,data:{name:Rl,namespace:Us.splice(0,Us.length-1),existing_value:Ml,variable_removed:!0}})}})))},Vo.render=function(){var ys=Vo.props,ps=ys.theme,Rs=ys.onDelete,Us=ys.onAdd,Rl=ys.enableClipboard,Ml=ys.src,Ol=ys.namespace,Cl=ys.rowHovered;return So.a.createElement("div",Object.assign({},$o(ps,"object-meta-data"),{className:"object-meta-data",onClick:function(Ul){Ul.stopPropagation()}}),Vo.getObjectSize(),Rl?So.a.createElement(gu,{rowHovered:Cl,clickCallback:Rl,src:Ml,theme:ps,namespace:Ol}):null,Us!==!1?Vo.getAddAttribute(Cl):null,Rs!==!1?Vo.getRemoveObject(Cl):null)},Vo}return zo}(So.a.PureComponent);function ou(Ko){var Qo=Ko.parent_type,zo=Ko.namespace,Vo=Ko.quotesOnKeys,Bo=Ko.theme,Xo=Ko.jsvRoot,vs=Ko.name,ys=Ko.displayArrayKey,ps=Ko.name?Ko.name:"";return!Xo||vs!==!1&&vs!==null?Qo=="array"?ys?So.a.createElement("span",Object.assign({},$o(Bo,"array-key"),{key:zo}),So.a.createElement("span",{className:"array-key"},ps),So.a.createElement("span",$o(Bo,"colon"),":")):So.a.createElement("span",null):So.a.createElement("span",Object.assign({},$o(Bo,"object-name"),{key:zo}),So.a.createElement("span",{className:"object-key"},Vo&&So.a.createElement("span",{style:{verticalAlign:"top"}},'"'),So.a.createElement("span",null,ps),Vo&&So.a.createElement("span",{style:{verticalAlign:"top"}},'"')),So.a.createElement("span",$o(Bo,"colon"),":")):So.a.createElement("span",null)}function Fl(Ko){var Qo=Ko.theme;switch(Ko.iconStyle){case"triangle":return So.a.createElement($l,Object.assign({},$o(Qo,"expanded-icon"),{className:"expanded-icon"}));case"square":return So.a.createElement(Zs,Object.assign({},$o(Qo,"expanded-icon"),{className:"expanded-icon"}));default:return So.a.createElement(Ms,Object.assign({},$o(Qo,"expanded-icon"),{className:"expanded-icon"}))}}function yl(Ko){var Qo=Ko.theme;switch(Ko.iconStyle){case"triangle":return So.a.createElement(Sl,Object.assign({},$o(Qo,"collapsed-icon"),{className:"collapsed-icon"}));case"square":return So.a.createElement(xl,Object.assign({},$o(Qo,"collapsed-icon"),{className:"collapsed-icon"}));default:return So.a.createElement(Hs,Object.assign({},$o(Qo,"collapsed-icon"),{className:"collapsed-icon"}))}}var Ys=function(Ko){po(zo,Ko);var Qo=_o(zo);function zo(Vo){var Bo;return uo(this,zo),(Bo=Qo.call(this,Vo)).toggleCollapsed=function(Xo){var vs=[];for(var ys in Bo.state.expanded)vs.push(Bo.state.expanded[ys]);vs[Xo]=!vs[Xo],Bo.setState({expanded:vs})},Bo.state={expanded:[]},Bo}return fo(zo,[{key:"getExpandedIcon",value:function(Vo){var Bo=this.props,Xo=Bo.theme,vs=Bo.iconStyle;return this.state.expanded[Vo]?So.a.createElement(Fl,{theme:Xo,iconStyle:vs}):So.a.createElement(yl,{theme:Xo,iconStyle:vs})}},{key:"render",value:function(){var Vo=this,Bo=this.props,Xo=Bo.src,vs=Bo.groupArraysAfterLength,ys=(Bo.depth,Bo.name),ps=Bo.theme,Rs=Bo.jsvRoot,Us=Bo.namespace,Rl=(Bo.parent_type,Ao(Bo,["src","groupArraysAfterLength","depth","name","theme","jsvRoot","namespace","parent_type"])),Ml=0,Ol=5*this.props.indentWidth;Rs||(Ml=5*this.props.indentWidth);var Cl=vs,Ul=Math.ceil(Xo.length/Cl);return So.a.createElement("div",Object.assign({className:"object-key-val"},$o(ps,Rs?"jsv-root":"objectKeyVal",{paddingLeft:Ml})),So.a.createElement(ou,this.props),So.a.createElement("span",null,So.a.createElement(mu,Object.assign({size:Xo.length},this.props))),Ss(Array(Ul)).map(function(fu,Bl){return So.a.createElement("div",Object.assign({key:Bl,className:"object-key-val array-group"},$o(ps,"objectKeyVal",{marginLeft:6,paddingLeft:Ol})),So.a.createElement("span",$o(ps,"brace-row"),So.a.createElement("div",Object.assign({className:"icon-container"},$o(ps,"icon-container"),{onClick:function(Eu){Vo.toggleCollapsed(Bl)}}),Vo.getExpandedIcon(Bl)),Vo.state.expanded[Bl]?So.a.createElement(du,Object.assign({key:ys+Bl,depth:0,name:!1,collapsed:!1,groupArraysAfterLength:Cl,index_offset:Bl*Cl,src:Xo.slice(Bl*Cl,Bl*Cl+Cl),namespace:Us,type:"array",parent_type:"array_group",theme:ps},Rl)):So.a.createElement("span",Object.assign({},$o(ps,"brace"),{onClick:function(Eu){Vo.toggleCollapsed(Bl)},className:"array-group-brace"}),"[",So.a.createElement("div",Object.assign({},$o(ps,"array-group-meta-data"),{className:"array-group-meta-data"}),So.a.createElement("span",Object.assign({className:"object-size"},$o(ps,"object-size")),Bl*Cl," - ",Bl*Cl+Cl>Xo.length?Xo.length:Bl*Cl+Cl)),"]")))}))}}]),zo}(So.a.PureComponent),vu=function(Ko){po(zo,Ko);var Qo=_o(zo);function zo(Vo){var Bo;uo(this,zo),(Bo=Qo.call(this,Vo)).toggleCollapsed=function(){Bo.setState({expanded:!Bo.state.expanded},function(){Ds.set(Bo.props.rjvId,Bo.props.namespace,"expanded",Bo.state.expanded)})},Bo.getObjectContent=function(vs,ys,ps){return So.a.createElement("div",{className:"pushed-content object-container"},So.a.createElement("div",Object.assign({className:"object-content"},$o(Bo.props.theme,"pushed-content")),Bo.renderObjectContents(ys,ps)))},Bo.getEllipsis=function(){return Bo.state.size===0?null:So.a.createElement("div",Object.assign({},$o(Bo.props.theme,"ellipsis"),{className:"node-ellipsis",onClick:Bo.toggleCollapsed}),"...")},Bo.getObjectMetaData=function(vs){var ys=Bo.props,ps=(ys.rjvId,ys.theme,Bo.state),Rs=ps.size,Us=ps.hovered;return So.a.createElement(mu,Object.assign({rowHovered:Us,size:Rs},Bo.props))},Bo.renderObjectContents=function(vs,ys){var ps,Rs=Bo.props,Us=Rs.depth,Rl=Rs.parent_type,Ml=Rs.index_offset,Ol=Rs.groupArraysAfterLength,Cl=Rs.namespace,Ul=Bo.state.object_type,fu=[],Bl=Object.keys(vs||{});return Bo.props.sortKeys&&Ul!=="array"&&(Bl=Bl.sort()),Bl.forEach(function(Eu){if(ps=new Nu(Eu,vs[Eu]),Rl==="array_group"&&Ml&&(ps.name=parseInt(ps.name)+Ml),vs.hasOwnProperty(Eu))if(ps.type==="object")fu.push(So.a.createElement(du,Object.assign({key:ps.name,depth:Us+1,name:ps.name,src:ps.value,namespace:Cl.concat(ps.name),parent_type:Ul},ys)));else if(ps.type==="array"){var Iu=du;Ol&&ps.value.length>Ol&&(Iu=Ys),fu.push(So.a.createElement(Iu,Object.assign({key:ps.name,depth:Us+1,name:ps.name,src:ps.value,namespace:Cl.concat(ps.name),type:"array",parent_type:Ul},ys)))}else fu.push(So.a.createElement(lu,Object.assign({key:ps.name+"_"+Cl,variable:ps,singleIndent:5,namespace:Cl,type:Bo.props.type},ys)))}),fu};var Xo=zo.getState(Vo);return Bo.state=lo(lo({},Xo),{},{prevProps:{}}),Bo}return fo(zo,[{key:"getBraceStart",value:function(Vo,Bo){var Xo=this,vs=this.props,ys=vs.src,ps=vs.theme,Rs=vs.iconStyle;if(vs.parent_type==="array_group")return So.a.createElement("span",null,So.a.createElement("span",$o(ps,"brace"),Vo==="array"?"[":"{"),Bo?this.getObjectMetaData(ys):null);var Us=Bo?Fl:yl;return So.a.createElement("span",null,So.a.createElement("span",Object.assign({onClick:function(Rl){Xo.toggleCollapsed()}},$o(ps,"brace-row")),So.a.createElement("div",Object.assign({className:"icon-container"},$o(ps,"icon-container")),So.a.createElement(Us,{theme:ps,iconStyle:Rs})),So.a.createElement(ou,this.props),So.a.createElement("span",$o(ps,"brace"),Vo==="array"?"[":"{")),Bo?this.getObjectMetaData(ys):null)}},{key:"render",value:function(){var Vo=this,Bo=this.props,Xo=Bo.depth,vs=Bo.src,ys=(Bo.namespace,Bo.name,Bo.type,Bo.parent_type),ps=Bo.theme,Rs=Bo.jsvRoot,Us=Bo.iconStyle,Rl=Ao(Bo,["depth","src","namespace","name","type","parent_type","theme","jsvRoot","iconStyle"]),Ml=this.state,Ol=Ml.object_type,Cl=Ml.expanded,Ul={};return Rs||ys==="array_group"?ys==="array_group"&&(Ul.borderLeft=0,Ul.display="inline"):Ul.paddingLeft=5*this.props.indentWidth,So.a.createElement("div",Object.assign({className:"object-key-val",onMouseEnter:function(){return Vo.setState(lo(lo({},Vo.state),{},{hovered:!0}))},onMouseLeave:function(){return Vo.setState(lo(lo({},Vo.state),{},{hovered:!1}))}},$o(ps,Rs?"jsv-root":"objectKeyVal",Ul)),this.getBraceStart(Ol,Cl),Cl?this.getObjectContent(Xo,vs,lo({theme:ps,iconStyle:Us},Rl)):this.getEllipsis(),So.a.createElement("span",{className:"brace-row"},So.a.createElement("span",{style:lo(lo({},$o(ps,"brace").style),{},{paddingLeft:Cl?"3px":"0px"})},Ol==="array"?"]":"}"),Cl?null:this.getObjectMetaData(vs)))}}],[{key:"getDerivedStateFromProps",value:function(Vo,Bo){var Xo=Bo.prevProps;return Vo.src!==Xo.src||Vo.collapsed!==Xo.collapsed||Vo.name!==Xo.name||Vo.namespace!==Xo.namespace||Vo.rjvId!==Xo.rjvId?lo(lo({},zo.getState(Vo)),{},{prevProps:Vo}):null}}]),zo}(So.a.PureComponent);vu.getState=function(Ko){var Qo=Object.keys(Ko.src).length,zo=(Ko.collapsed===!1||Ko.collapsed!==!0&&Ko.collapsed>Ko.depth)&&(!Ko.shouldCollapse||Ko.shouldCollapse({name:Ko.name,src:Ko.src,type:Ro(Ko.src),namespace:Ko.namespace})===!1)&&Qo!==0;return{expanded:Ds.get(Ko.rjvId,Ko.namespace,"expanded",zo),object_type:Ko.type==="array"?"array":"object",parent_type:Ko.type==="array"?"array":"object",size:Qo,hovered:!1}};var Nu=function Ko(Qo,zo){uo(this,Ko),this.name=Qo,this.value=zo,this.type=Ro(zo)};Oo(vu);var du=vu,cp=function(Ko){po(zo,Ko);var Qo=_o(zo);function zo(){var Vo;uo(this,zo);for(var Bo=arguments.length,Xo=new Array(Bo),vs=0;vs<Bo;vs++)Xo[vs]=arguments[vs];return(Vo=Qo.call.apply(Qo,[this].concat(Xo))).render=function(){var ys=bo(Vo).props,ps=[ys.name],Rs=du;return Array.isArray(ys.src)&&ys.groupArraysAfterLength&&ys.src.length>ys.groupArraysAfterLength&&(Rs=Ys),So.a.createElement("div",{className:"pretty-json-container object-container"},So.a.createElement("div",{className:"object-content"},So.a.createElement(Rs,Object.assign({namespace:ps,depth:0,jsvRoot:!0},ys))))},Vo}return zo}(So.a.PureComponent),qu=function(Ko){po(zo,Ko);var Qo=_o(zo);function zo(Vo){var Bo;return uo(this,zo),(Bo=Qo.call(this,Vo)).closeModal=function(){Ns.dispatch({rjvId:Bo.props.rjvId,name:"RESET"})},Bo.submit=function(){Bo.props.submit(Bo.state.input)},Bo.state={input:Vo.input?Vo.input:""},Bo}return fo(zo,[{key:"render",value:function(){var Vo=this,Bo=this.props,Xo=Bo.theme,vs=Bo.rjvId,ys=Bo.isValid,ps=this.state.input,Rs=ys(ps);return So.a.createElement("div",Object.assign({className:"key-modal-request"},$o(Xo,"key-modal-request"),{onClick:this.closeModal}),So.a.createElement("div",Object.assign({},$o(Xo,"key-modal"),{onClick:function(Us){Us.stopPropagation()}}),So.a.createElement("div",$o(Xo,"key-modal-label"),"Key Name:"),So.a.createElement("div",{style:{position:"relative"}},So.a.createElement("input",Object.assign({},$o(Xo,"key-modal-input"),{className:"key-modal-input",ref:function(Us){return Us&&Us.focus()},spellCheck:!1,value:ps,placeholder:"...",onChange:function(Us){Vo.setState({input:Us.target.value})},onKeyPress:function(Us){Rs&&Us.key==="Enter"?Vo.submit():Us.key==="Escape"&&Vo.closeModal()}})),Rs?So.a.createElement(Zl,Object.assign({},$o(Xo,"key-modal-submit"),{className:"key-modal-submit",onClick:function(Us){return Vo.submit()}})):null),So.a.createElement("span",$o(Xo,"key-modal-cancel"),So.a.createElement(pu,Object.assign({},$o(Xo,"key-modal-cancel-icon"),{className:"key-modal-cancel",onClick:function(){Ns.dispatch({rjvId:vs,name:"RESET"})}})))))}}]),zo}(So.a.PureComponent),Ru=function(Ko){po(zo,Ko);var Qo=_o(zo);function zo(){var Vo;uo(this,zo);for(var Bo=arguments.length,Xo=new Array(Bo),vs=0;vs<Bo;vs++)Xo[vs]=arguments[vs];return(Vo=Qo.call.apply(Qo,[this].concat(Xo))).isValid=function(ys){var ps=Vo.props.rjvId,Rs=Ds.get(ps,"action","new-key-request");return ys!=""&&Object.keys(Rs.existing_value).indexOf(ys)===-1},Vo.submit=function(ys){var ps=Vo.props.rjvId,Rs=Ds.get(ps,"action","new-key-request");Rs.new_value=lo({},Rs.existing_value),Rs.new_value[ys]=Vo.props.defaultValue,Ns.dispatch({name:"VARIABLE_ADDED",rjvId:ps,data:Rs})},Vo}return fo(zo,[{key:"render",value:function(){var Vo=this.props,Bo=Vo.active,Xo=Vo.theme,vs=Vo.rjvId;return Bo?So.a.createElement(qu,{rjvId:vs,theme:Xo,isValid:this.isValid,submit:this.submit}):null}}]),zo}(So.a.PureComponent),_h=function(Ko){po(zo,Ko);var Qo=_o(zo);function zo(){return uo(this,zo),Qo.apply(this,arguments)}return fo(zo,[{key:"render",value:function(){var Vo=this.props,Bo=Vo.message,Xo=Vo.active,vs=Vo.theme,ys=Vo.rjvId;return Xo?So.a.createElement("div",Object.assign({className:"validation-failure"},$o(vs,"validation-failure"),{onClick:function(){Ns.dispatch({rjvId:ys,name:"RESET"})}}),So.a.createElement("span",$o(vs,"validation-failure-label"),Bo),So.a.createElement(pu,$o(vs,"validation-failure-clear"))):null}}]),zo}(So.a.PureComponent),qs=function(Ko){po(zo,Ko);var Qo=_o(zo);function zo(Vo){var Bo;return uo(this,zo),(Bo=Qo.call(this,Vo)).rjvId=Date.now().toString(),Bo.getListeners=function(){return{reset:Bo.resetState,"variable-update":Bo.updateSrc,"add-key-request":Bo.addKeyRequest}},Bo.updateSrc=function(){var Xo,vs=Ds.get(Bo.rjvId,"action","variable-update"),ys=vs.name,ps=vs.namespace,Rs=vs.new_value,Us=vs.existing_value,Rl=(vs.variable_removed,vs.updated_src),Ml=vs.type,Ol=Bo.props,Cl=Ol.onEdit,Ul=Ol.onDelete,fu=Ol.onAdd,Bl={existing_src:Bo.state.src,new_value:Rs,updated_src:Rl,name:ys,namespace:ps,existing_value:Us};switch(Ml){case"variable-added":Xo=fu(Bl);break;case"variable-edited":Xo=Cl(Bl);break;case"variable-removed":Xo=Ul(Bl)}Xo!==!1?(Ds.set(Bo.rjvId,"global","src",Rl),Bo.setState({src:Rl})):Bo.setState({validationFailure:!0})},Bo.addKeyRequest=function(){Bo.setState({addKeyRequest:!0})},Bo.resetState=function(){Bo.setState({validationFailure:!1,addKeyRequest:!1})},Bo.state={addKeyRequest:!1,editKeyRequest:!1,validationFailure:!1,src:zo.defaultProps.src,name:zo.defaultProps.name,theme:zo.defaultProps.theme,validationMessage:zo.defaultProps.validationMessage,prevSrc:zo.defaultProps.src,prevName:zo.defaultProps.name,prevTheme:zo.defaultProps.theme},Bo}return fo(zo,[{key:"componentDidMount",value:function(){Ds.set(this.rjvId,"global","src",this.state.src);var Vo=this.getListeners();for(var Bo in Vo)Ds.on(Bo+"-"+this.rjvId,Vo[Bo]);this.setState({addKeyRequest:!1,editKeyRequest:!1})}},{key:"componentDidUpdate",value:function(Vo,Bo){Bo.addKeyRequest!==!1&&this.setState({addKeyRequest:!1}),Bo.editKeyRequest!==!1&&this.setState({editKeyRequest:!1}),Vo.src!==this.state.src&&Ds.set(this.rjvId,"global","src",this.state.src)}},{key:"componentWillUnmount",value:function(){var Vo=this.getListeners();for(var Bo in Vo)Ds.removeListener(Bo+"-"+this.rjvId,Vo[Bo])}},{key:"render",value:function(){var Vo=this.state,Bo=Vo.validationFailure,Xo=Vo.validationMessage,vs=Vo.addKeyRequest,ys=Vo.theme,ps=Vo.src,Rs=Vo.name,Us=this.props,Rl=Us.style,Ml=Us.defaultValue;return So.a.createElement("div",{className:"react-json-view",style:lo(lo({},$o(ys,"app-container").style),Rl)},So.a.createElement(_h,{message:Xo,active:Bo,theme:ys,rjvId:this.rjvId}),So.a.createElement(cp,Object.assign({},this.props,{src:ps,name:Rs,theme:ys,type:Ro(ps),rjvId:this.rjvId})),So.a.createElement(Ru,{active:vs,theme:ys,rjvId:this.rjvId,defaultValue:Ml}))}}],[{key:"getDerivedStateFromProps",value:function(Vo,Bo){if(Vo.src!==Bo.prevSrc||Vo.name!==Bo.prevName||Vo.theme!==Bo.prevTheme){var Xo={src:Vo.src,name:Vo.name,theme:Vo.theme,validationMessage:Vo.validationMessage,prevSrc:Vo.src,prevName:Vo.name,prevTheme:Vo.theme};return zo.validateState(Xo)}return null}}]),zo}(So.a.PureComponent);qs.defaultProps={src:{},name:"root",theme:"rjv-default",collapsed:!1,collapseStringsAfterLength:!1,shouldCollapse:!1,sortKeys:!1,quotesOnKeys:!0,groupArraysAfterLength:100,indentWidth:4,enableClipboard:!0,displayObjectSize:!0,displayDataTypes:!0,onEdit:!1,onDelete:!1,onAdd:!1,onSelect:!1,iconStyle:"triangle",style:{},validationMessage:"Validation Error",defaultValue:null,displayArrayKey:!0},qs.validateState=function(Ko){var Qo={};return Ro(Ko.theme)!=="object"||function(zo){var Vo=["base00","base01","base02","base03","base04","base05","base06","base07","base08","base09","base0A","base0B","base0C","base0D","base0E","base0F"];if(Ro(zo)==="object"){for(var Bo=0;Bo<Vo.length;Bo++)if(!(Vo[Bo]in zo))return!1;return!0}return!1}(Ko.theme)||(console.error("react-json-view error:","theme prop must be a theme name or valid base-16 theme object.",'defaulting to "rjv-default" 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Array(to);ro<to;ro++)no[ro]=eo[ro];return no}function _nonIterableRest(){throw new TypeError(`Invalid attempt to destructure non-iterable instance.
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+    You are using deprecated way of configuration.
+
+    Instead of using
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+    use
+      monaco.config({ paths: { vs: '...' } })
+
+    For more please check the link https://github.com/suren-atoyan/monaco-loader#config
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assistant:)/,"keyword"]]}}),ro==null||ro(no)}}),locStringsInjectionToken=createInjectionToken("locStrings",{}),useLocStrings=()=>{const[eo]=useInjected(locStringsInjectionToken);return eo};var BuildInEventName=(eo=>(eo.exception="exception",eo["function.inputs"]="promptflow.function.inputs",eo["function.output"]="promptflow.function.output",eo["embedding.embeddings"]="promptflow.embedding.embeddings",eo["retrieval.query"]="promptflow.retrieval.query",eo["retrieval.documents"]="promptflow.retrieval.documents",eo["llm.generated_message"]="promptflow.llm.generated_message",eo["prompt.template"]="promptflow.prompt.template",eo))(BuildInEventName||{});const EventNameToAttribute={"promptflow.function.inputs":"inputs","promptflow.function.output":"output"},safeJSONParse=eo=>{try{return JSON.parse(eo)}catch{return eo}};function formatDecimal(eo){return Math.abs(eo=Math.round(eo))>=1e21?eo.toLocaleString("en").replace(/,/g,""):eo.toString(10)}function formatDecimalParts(eo,to){if((ro=(eo=to?eo.toExponential(to-1):eo.toExponential()).indexOf("e"))<0)return null;var ro,no=eo.slice(0,ro);return[no.length>1?no[0]+no.slice(2):no,+eo.slice(ro+1)]}function exponent(eo){return eo=formatDecimalParts(Math.abs(eo)),eo?eo[1]:NaN}function formatGroup(eo,to){return function(ro,no){for(var oo=ro.length,io=[],so=0,ao=eo[0],lo=0;oo>0&&ao>0&&(lo+ao+1>no&&(ao=Math.max(1,no-lo)),io.push(ro.substring(oo-=ao,oo+ao)),!((lo+=ao+1)>no));)ao=eo[so=(so+1)%eo.length];return io.reverse().join(to)}}function formatNumerals(eo){return function(to){return to.replace(/[0-9]/g,function(ro){return eo[+ro]})}}var re$2=/^(?:(.)?([<>=^]))?([+\-( ])?([$#])?(0)?(\d+)?(,)?(\.\d+)?(~)?([a-z%])?$/i;function formatSpecifier(eo){if(!(to=re$2.exec(eo)))throw new Error("invalid format: "+eo);var to;return new FormatSpecifier({fill:to[1],align:to[2],sign:to[3],symbol:to[4],zero:to[5],width:to[6],comma:to[7],precision:to[8]&&to[8].slice(1),trim:to[9],type:to[10]})}formatSpecifier.prototype=FormatSpecifier.prototype;function FormatSpecifier(eo){this.fill=eo.fill===void 0?" ":eo.fill+"",this.align=eo.align===void 0?">":eo.align+"",this.sign=eo.sign===void 0?"-":eo.sign+"",this.symbol=eo.symbol===void 0?"":eo.symbol+"",this.zero=!!eo.zero,this.width=eo.width===void 0?void 0:+eo.width,this.comma=!!eo.comma,this.precision=eo.precision===void 0?void 0:+eo.precision,this.trim=!!eo.trim,this.type=eo.type===void 0?"":eo.type+""}FormatSpecifier.prototype.toString=function(){return this.fill+this.align+this.sign+this.symbol+(this.zero?"0":"")+(this.width===void 0?"":Math.max(1,this.width|0))+(this.comma?",":"")+(this.precision===void 0?"":"."+Math.max(0,this.precision|0))+(this.trim?"~":"")+this.type};function formatTrim(eo){e:for(var to=eo.length,ro=1,no=-1,oo;ro<to;++ro)switch(eo[ro]){case".":no=oo=ro;break;case"0":no===0&&(no=ro),oo=ro;break;default:if(!+eo[ro])break e;no>0&&(no=0);break}return no>0?eo.slice(0,no)+eo.slice(oo+1):eo}var prefixExponent;function formatPrefixAuto(eo,to){var ro=formatDecimalParts(eo,to);if(!ro)return eo+"";var no=ro[0],oo=ro[1],io=oo-(prefixExponent=Math.max(-8,Math.min(8,Math.floor(oo/3)))*3)+1,so=no.length;return io===so?no:io>so?no+new Array(io-so+1).join("0"):io>0?no.slice(0,io)+"."+no.slice(io):"0."+new Array(1-io).join("0")+formatDecimalParts(eo,Math.max(0,to+io-1))[0]}function formatRounded(eo,to){var ro=formatDecimalParts(eo,to);if(!ro)return eo+"";var no=ro[0],oo=ro[1];return oo<0?"0."+new Array(-oo).join("0")+no:no.length>oo+1?no.slice(0,oo+1)+"."+no.slice(oo+1):no+new Array(oo-no.length+2).join("0")}const formatTypes={"%":(eo,to)=>(eo*100).toFixed(to),b:eo=>Math.round(eo).toString(2),c:eo=>eo+"",d:formatDecimal,e:(eo,to)=>eo.toExponential(to),f:(eo,to)=>eo.toFixed(to),g:(eo,to)=>eo.toPrecision(to),o:eo=>Math.round(eo).toString(8),p:(eo,to)=>formatRounded(eo*100,to),r:formatRounded,s:formatPrefixAuto,X:eo=>Math.round(eo).toString(16).toUpperCase(),x:eo=>Math.round(eo).toString(16)};function identity(eo){return eo}var map=Array.prototype.map,prefixes=["y","z","a","f","p","n","µ","m","","k","M","G","T","P","E","Z","Y"];function formatLocale(eo){var to=eo.grouping===void 0||eo.thousands===void 0?identity:formatGroup(map.call(eo.grouping,Number),eo.thousands+""),ro=eo.currency===void 0?"":eo.currency[0]+"",no=eo.currency===void 0?"":eo.currency[1]+"",oo=eo.decimal===void 0?".":eo.decimal+"",io=eo.numerals===void 0?identity:formatNumerals(map.call(eo.numerals,String)),so=eo.percent===void 0?"%":eo.percent+"",ao=eo.minus===void 0?"−":eo.minus+"",lo=eo.nan===void 0?"NaN":eo.nan+"";function uo(fo){fo=formatSpecifier(fo);var ho=fo.fill,po=fo.align,go=fo.sign,vo=fo.symbol,bo=fo.zero,xo=fo.width,_o=fo.comma,Eo=fo.precision,So=fo.trim,To=fo.type;To==="n"?(_o=!0,To="g"):formatTypes[To]||(Eo===void 0&&(Eo=12),So=!0,To="g"),(bo||ho==="0"&&po==="=")&&(bo=!0,ho="0",po="=");var wo=vo==="$"?ro:vo==="#"&&/[boxX]/.test(To)?"0"+To.toLowerCase():"",Co=vo==="$"?no:/[%p]/.test(To)?so:"",Oo=formatTypes[To],Ao=/[defgprs%]/.test(To);Eo=Eo===void 0?6:/[gprs]/.test(To)?Math.max(1,Math.min(21,Eo)):Math.max(0,Math.min(20,Eo));function Ro(No){var Mo=wo,Do=Co,jo,Fo,$o;if(To==="c")Do=Oo(No)+Do,No="";else{No=+No;var Lo=No<0||1/No<0;if(No=isNaN(No)?lo:Oo(Math.abs(No),Eo),So&&(No=formatTrim(No)),Lo&&+No==0&&go!=="+"&&(Lo=!1),Mo=(Lo?go==="("?go:ao:go==="-"||go==="("?"":go)+Mo,Do=(To==="s"?prefixes[8+prefixExponent/3]:"")+Do+(Lo&&go==="("?")":""),Ao){for(jo=-1,Fo=No.length;++jo<Fo;)if($o=No.charCodeAt(jo),48>$o||$o>57){Do=($o===46?oo+No.slice(jo+1):No.slice(jo))+Do,No=No.slice(0,jo);break}}}_o&&!bo&&(No=to(No,1/0));var Ho=Mo.length+No.length+Do.length,qo=Ho<xo?new Array(xo-Ho+1).join(ho):"";switch(_o&&bo&&(No=to(qo+No,qo.length?xo-Do.length:1/0),qo=""),po){case"<":No=Mo+No+Do+qo;break;case"=":No=Mo+qo+No+Do;break;case"^":No=qo.slice(0,Ho=qo.length>>1)+Mo+No+Do+qo.slice(Ho);break;default:No=qo+Mo+No+Do;break}return io(No)}return Ro.toString=function(){return fo+""},Ro}function co(fo,ho){var po=uo((fo=formatSpecifier(fo),fo.type="f",fo)),go=Math.max(-8,Math.min(8,Math.floor(exponent(ho)/3)))*3,vo=Math.pow(10,-go),bo=prefixes[8+go/3];return function(xo){return po(vo*xo)+bo}}return{format:uo,formatPrefix:co}}var locale,format;defaultLocale({thousands:",",grouping:[3],currency:["$",""]});function defaultLocale(eo){return locale=formatLocale(eo),format=locale.format,locale.formatPrefix,locale}function formatInt(eo){return Math.abs(eo)<1e6?format(",")(eo):format("0.2s")(eo)}function formatFloat(eo){const to=Math.abs(eo);return to===0?"0.00":to<.01?format(".2e")(eo):to<1e3?format("0.2f")(eo):format("0.2s")(eo)}function formatNumber$1(eo){return Number.isInteger(eo)?formatInt(eo):formatFloat(eo)}function createNumberFormatter(eo){return to=>typeof to!="number"?"--":eo(to)}const intFormatter=createNumberFormatter(formatInt),floatFormatter=createNumberFormatter(formatFloat),timeFormat=eo=>(eo&&!eo.endsWith("Z")&&(eo+="Z"),eo?new Date(eo).toLocaleString([],{year:"numeric",month:"2-digit",day:"2-digit",hour:"2-digit",minute:"2-digit",second:"2-digit"}):"--"),latencyFormat=eo=>eo===void 0?"N/A":eo===0?"0 ms":eo<10?formatFloat(eo)+"ms":formatFloat(eo/1e3)+"s",parseSpanOutput=eo=>{var no,oo,io;const to=(no=eo==null?void 0:eo.events)==null?void 0:no.find(so=>so.name===BuildInEventName["function.output"]),ro=((oo=to==null?void 0:to.attributes)==null?void 0:oo.payload)??((io=eo==null?void 0:eo.attributes)==null?void 0:io.output);if(typeof ro=="string")try{const so=JSON.parse(ro);if(typeof so.usage=="string")try{so.usage=JSON.parse(so.usage)}catch{so.usage={}}return so}catch{return ro}return ro},parseHttpSpanAttributes=eo=>{var no;const to=eo==null?void 0:eo.attributes;if(!to||((no=to.span_type)==null?void 0:no.toLowerCase())!=="http")return;const ro={response:{headers:{}},request:{headers:{}}};return Object.entries(to).forEach(([oo,io])=>{const so=oo.toLowerCase();if(so==="url.full"){ro.urlFull=io;return}const[ao,lo,uo,...co]=so.split(".");if(ao==="http")switch(lo){case"request":uo==="header"?ro.request.headers[co.join(".")]=io:ro.request[[uo,...co].join(".")]=io;break;case"response":uo==="header"?ro.response.headers[co.join(".")]=io:ro.response[[uo,...co].join(".")]=io;break;case"status_code":ro.status_code=io;break;case"method":ro.method=io;break;default:ro[oo.substring(5)]=io}}),ro},convertToTraceListRow=eo=>{var ro,no,oo;const to=eo.end_time&&eo.start_time?Date.parse(eo.end_time)-Date.parse(eo.start_time):0;return{...eo,latency:to,total_tokens:((ro=eo==null?void 0:eo.cumulative_token_count)==null?void 0:ro.total)??0,prompt_tokens:(no=eo==null?void 0:eo.cumulative_token_count)==null?void 0:no.prompt,completion_tokens:(oo=eo==null?void 0:eo.cumulative_token_count)==null?void 0:oo.completion}};var _a$1;const initialTableColumnNames={normalColumns:[],evaluationColumns:[]};var ViewStatus=(eo=>(eo.loading="loading",eo.loaded="loaded",eo.error="error",eo.hidden="hidden",eo))(ViewStatus||{});const rv=class rv{constructor(to){this.selectedSpanId$=new State$1(void 0),this.selectedTraceId$=new State$1(void 0),this.selectedEvaluationTraceId$=new State$1(void 0),this.spans$=new ObservableMap,this.traces$=new ObservableOrderedMap,this.tableColumnNames$=new State$1(initialTableColumnNames),this.tableHiddenColumnKeys$=new State$1([]),this.isTraceDetailOpen$=new State$1(!1),this.isGanttChartOpen$=new State$1(!1),this.traceListStatus$=new State$1("loading"),this.traceDetailStatus$=new State$1("loading"),this.traceListShowMetrics$=new State$1(!0),this.messagesBySpanId$=new ObservableOrderedMap,this.sortColumn$=new State$1(void 0),this.sortableColumns=[],this.isLazyLoadSpan=!0,this.spanEventsLoadStatus$=new ObservableMap;const{traceListConfig:ro,spanConfig:no}=to||{};ro&&(this.traceListColumnModifier=ro.columnModifier,ro.showMetrics!==void 0&&this.traceListShowMetrics$.setState(ro.showMetrics),ro.defaultHiddenColumnKeys!==void 0&&this.tableHiddenColumnKeys$.setState(ro.defaultHiddenColumnKeys),ro.sortableColumns&&(this.sortableColumns=ro.sortableColumns)),no&&(this._fetchSpanEvent=no.fetchSpanEvent,this.isLazyLoadSpan=no.isLazyLoadSpan??!0),this.selectedTrace$=Computed$1.fromStates([this.selectedTraceId$,this.traces$,this.selectedEvaluationTraceId$],([oo,io,so])=>{const ao=oo&&io.get(oo)||void 0;return ao&&ao.evaluations&&Object.values(ao.evaluations).find(uo=>uo.trace_id===so)||ao}),this.selectedTraceId$.subscribe(oo=>{var so;if(!oo)return;const io=this.traces$.get(oo);(so=this._traceDetailDidOpenCallback)==null||so.call(this,oo,io)}),this.isTraceDetailOpen$.subscribe(oo=>{var ao;const io=this.selectedTraceId$.getSnapshot(),so=this.selectedTrace$.getSnapshot();!oo&&io&&((ao=this._traceDetailDidCloseCallback)==null||ao.call(this,io,so),this.traceDetailStatus$.setState("hidden"),this.isGanttChartOpen$.setState(!1),this.selectedTraceId$.setState(void 0),this.selectedEvaluationTraceId$.next(void 0),this.spanEventsLoadStatus$.clear())}),this.sortColumn$.subscribe(oo=>{var io;(io=this._traceListSortColumnDidChangeCallback)==null||io.call(this,oo)}),this.traceDetailTitleParts$=Computed$1.fromStates([this.selectedTraceId$,this.selectedEvaluationTraceId$,this.traces$],([oo,io,so])=>{if(!oo)return[];const ao=so.get(oo),lo=ao==null?void 0:ao.evaluations,uo=[];ao!=null&&ao.name&&uo.push(ao.name);const co=Object.values(lo??{}).find(fo=>fo.trace_id===io);return co!=null&&co.name&&uo.push(co.name),uo})}traceDetailDidOpen(to){this._traceDetailDidOpenCallback=to}traceDetailDidClose(to){this._traceDetailDidCloseCallback=to}onTraceDetailCopyUrl(to){this._traceDetailCopyUrlCallback=to}traceListSortColumnDidChange(to){this._traceListSortColumnDidChangeCallback=to}onRefreshSpans(to){this._refreshSpansCallback=to}setOnRefreshTraces(to){this._refreshTracesCallback=to}traceDetailCopyUrl(){const to=this.selectedTraceId$.getSnapshot(),ro=this.selectedTrace$.getSnapshot();return to&&this._traceDetailCopyUrlCallback?(this._traceDetailCopyUrlCallback(to,ro),!0):!1}refreshSpans(){var no;const to=this.selectedTraceId$.getSnapshot(),ro=this.selectedTrace$.getSnapshot();to&&((no=this._refreshSpansCallback)==null||no.call(this,to,ro))}refreshTraces(){var to;(to=this._refreshTracesCallback)==null||to.call(this)}clear(){this.traces$.clear(),this.spans$.clear()}appendTraces(to,ro){to.forEach(no=>{no.trace_id!==void 0&&(ro?this.traces$.set(no.trace_id,no).sortByValue(ro):this.traces$.set(no.trace_id,no))})}appendSpans(to){to.forEach(ro=>{var so,ao;const no=(so=ro==null?void 0:ro.context)==null?void 0:so.trace_id,oo=(ao=ro==null?void 0:ro.context)==null?void 0:ao.span_id;if(!no||!oo)return;const io=this.spans$.get(no)||new ObservableOrderedMap;this.spans$.set(no,io.set(oo,ro))})}toggleIsGanttChartOpen(){this.isGanttChartOpen$.setState(!this.isGanttChartOpen$.getSnapshot())}getTraceById(to){return to?this.traces$.get(to):void 0}setTraceListStatus(to){this.traceListStatus$.setState(to)}setTraceDetailStatus(to){this.traceDetailStatus$.setState(to)}setTraceDetailOpen(to,ro){this.isTraceDetailOpen$.setState(to),this.selectedTraceId$.setState(to?ro:void 0)}sortTraces(to){this.traces$.sortByValue(to)}fetchSpanEvent(to){var ro;return((ro=this._fetchSpanEvent)==null?void 0:ro.call(this,to))??Promise.resolve({status:"success"})}};_a$1=SINGLETON,rv[_a$1]=!0;let TraceViewModel=rv;const TraceViewModelToken=createInjectionToken("TraceViewModel",new TraceViewModel),useLoadSpanEvents=(eo,to,ro)=>{const no=useTraceViewModel(),oo=useSpanEventsLoadStatus();return reactExports.useCallback(({onCompleted:io,forceRefresh:so})=>{var lo,uo,co,fo;if(!((lo=eo==null?void 0:eo.events)!=null&&lo.length)||!no.isLazyLoadSpan){io();return}if(ro!==void 0){const ho=(uo=eo.external_event_data_uris)==null?void 0:uo[ro];if(!ho){io();return}const po=`${(co=eo.context)==null?void 0:co.span_id}__${ho}`;if(oo.get(po)==="success"){io();return}if(!so&&oo.has(po)){io(oo.get(po)==="error"?new Error("load error"):void 0);return}no.fetchSpanEvent(ho).then(go=>{var vo;if(go.status==="error")oo.set(po,"error"),io(new Error("load error"));else{const{data:bo}=go;(vo=eo.events)!=null&&vo[ro]&&(eo.events[ro]=typeof bo=="string"?safeJSONParse(bo):bo),oo.set(po,"success"),io()}});return}const ao=`${(fo=eo.context)==null?void 0:fo.span_id}__${to}`;if(!so&&oo.has(ao)){io(oo.get(ao)==="error"?new Error("load error"):void 0);return}Promise.all(eo.events.map((ho,po)=>{var go,vo;if(ho.name===to){const bo=(go=eo.external_event_data_uris)==null?void 0:go[po];if(!bo)return Promise.resolve({status:"success"});const xo=`${(vo=eo.context)==null?void 0:vo.span_id}__${bo}`;return oo.get(xo)==="success"?Promise.resolve({status:"success"}):!so&&oo.has(xo)?Promise.resolve({status:oo.get(xo)==="error"?"error":"success"}):no.fetchSpanEvent(bo).then(_o=>{var Eo;if(_o.status==="error")oo.set(xo,"error");else{const{data:So}=_o;(Eo=eo.events)!=null&&Eo[po]&&(eo.events[po]=typeof So=="string"?safeJSONParse(So):So),oo.set(xo,"success")}return _o})}}).filter(ho=>ho!==void 0)).then(ho=>{if(ho.some(po=>(po==null?void 0:po.status)==="error")){oo.set(ao,"error"),io(new Error("load error"));return}oo.set(ao,"success"),io()})},[no,eo,to,ro,oo])},useSpanEventsWithPayload=(eo,to)=>{var ro;return((ro=eo==null?void 0:eo.events)==null?void 0:ro.filter(no=>no.name===to).map(no=>{var oo;return{...no,attributes:safeJSONParse(((oo=no.attributes)==null?void 0:oo.payload)??"")}}))??[]},useTraceViewModel=()=>{const[eo]=useInjected(TraceViewModelToken);return eo},useSelectedSpanId=()=>{const eo=useTraceViewModel();return useState(eo.selectedSpanId$)},useSelectedSpan=()=>{var io;const eo=useTraceViewModel(),to=useSelectedSpanId(),ro=useSelectedTraceId(),oo=useSelectedEvaluationTraceId()??ro;if(!(!to||!oo))return(io=eo.spans$.get(oo))==null?void 0:io.get(to)},useParentSpanOfSelectedSpan=()=>{var no;const eo=useTraceViewModel(),to=useSelectedTraceId(),ro=useSelectedSpan();if(!(!ro||!to||!ro.parent_id))return(no=eo.spans$.get(to))==null?void 0:no.get(ro.parent_id)},useSetSelectedSpanId=()=>useSetState(useTraceViewModel().selectedSpanId$),useSelectedTraceId=()=>useState(useTraceViewModel().selectedTraceId$),useSetSelectedTraceId=()=>useSetState(useTraceViewModel().selectedTraceId$),useSelectedTrace=()=>{const eo=useTraceViewModel();return useState(eo.selectedTrace$)},useSpansOfSelectedTrace=()=>{const eo=useTraceViewModel(),to=useSelectedTraceId(),ro=useSelectedEvaluationTraceId(),no=useState(eo.spans$.get(ro??to??"")??new ObservableOrderedMap);return Array.from(no.values())},useTraces=()=>{const eo=useState(useTraceViewModel().traces$);return reactExports.useMemo(()=>Array.from(eo.values()),[eo])},useTraceNavigation=()=>{const eo=useTraceViewModel(),to=useTraces(),ro=useSelectedTraceId(),no=to.findIndex(lo=>lo.trace_id===ro),oo=no>0,io=no<to.length-1,so=reactExports.useCallback(()=>{oo&&eo.selectedTraceId$.setState(to[no-1].trace_id)},[oo,no,to,eo]),ao=reactExports.useCallback(()=>{io&&eo.selectedTraceId$.setState(to[no+1].trace_id)},[io,no,to,eo]);return{hasPreviousTrace:oo,hasNextTrace:io,goToPreviousTrace:so,goToNextTrace:ao}},useParseTraceOutput=eo=>reactExports.useMemo(()=>parseSpanOutput(eo),[eo]),useEvaluationSpansOfSelectedSpan=()=>{const eo=useTraceViewModel(),to=[],ro=useSelectedTrace();return ro?(Object.keys(ro.evaluations??[]).forEach(no=>{var io,so;const oo=(io=ro==null?void 0:ro.evaluations)==null?void 0:io[no];if(oo){const ao=Array.from(((so=eo.spans$.get(oo.trace_id??""))==null?void 0:so.getState().values())??[]);to.push({evaluationName:oo.name??no,evaluationTraces:ao})}}),to):[]},useRootSpanIdOfSelectedSpans=()=>{const eo=useSelectedTrace();return eo==null?void 0:eo.root_span_id},useTableColumnNames=()=>useState(useTraceViewModel().tableColumnNames$),useSetTableColumnNames=()=>useSetState(useTraceViewModel().tableColumnNames$),useTableHiddenColumnKeys=()=>useState(useTraceViewModel().tableHiddenColumnKeys$),useSetTableHiddenColumnKeys=()=>useSetState(useTraceViewModel().tableHiddenColumnKeys$),useIsTraceDetailOpen=()=>useState(useTraceViewModel().isTraceDetailOpen$),useSetIsTraceDetailOpen=()=>useSetState(useTraceViewModel().isTraceDetailOpen$),useTraceDetailRefreshKey=()=>{const eo=useTraceViewModel(),to=useSelectedTraceId(),ro=useSelectedEvaluationTraceId(),no=useState(eo.spans$),oo=Array.from(useState(no.get(to??"")??new ObservableOrderedMap).keys());return`${to}-${ro}-${oo.join("-")}`},useIsGanttChartOpen=()=>useState(useTraceViewModel().isGanttChartOpen$),useTraceListColumnModifier=()=>useTraceViewModel().traceListColumnModifier,useTraceListShowMetrics=()=>useState(useTraceViewModel().traceListShowMetrics$),useMessagesBySpanId=eo=>{var go,vo,bo,xo,_o;const to=useTraceViewModel(),ro=useState(to.selectedTraceId$),no=ro?(go=to.spans$.get(ro))==null?void 0:go.get(eo):void 0,oo=useSpanEventsWithPayload(no,BuildInEventName["function.inputs"])[0],io=useSpanEventsWithPayload(no,BuildInEventName["function.output"])[0],so=useSpanEventsWithPayload(no,BuildInEventName["llm.generated_message"])[0];if(!ro)return{inputMessages:[],outputMessages:[],tools:[]};const ao=oo?oo.attributes:safeJSONParse(((vo=no==null?void 0:no.attributes)==null?void 0:vo.inputs)??"{}"),lo=io?io.attributes:safeJSONParse(((bo=no==null?void 0:no.attributes)==null?void 0:bo.output)??"{}"),uo=(xo=no==null?void 0:no.attributes)==null?void 0:xo["llm.generated_message"],co=(so==null?void 0:so.attributes)??(uo?safeJSONParse(uo):void 0),fo=(ao==null?void 0:ao.tools)??[],ho=(ao==null?void 0:ao.messages)??[];let po=[];return co?po=[co]:po=((_o=lo==null?void 0:lo.choices)==null?void 0:_o.reduce((Eo,So)=>So.message?[...Eo,{...So.message,tools:fo}]:So.text?[...Eo,{content:So.text,role:"assistant",tools:fo}]:Eo,[]))??[],{inputMessages:ho,outputMessages:po,tools:fo}},useMessagesOfSelectedSpan=()=>{const eo=useSelectedSpanId();return useMessagesBySpanId(eo??"")},useGetAllTraces=()=>{const eo=useTraceViewModel();return reactExports.useCallback(()=>Array.from(eo.traces$.getState().values()),[eo.traces$])},useGetAllSpans=()=>{const eo=useTraceViewModel();return reactExports.useCallback(()=>{const to=[];return eo.spans$.getState().forEach(no=>{no.getState().forEach(io=>{to.push(io)})}),to},[eo.spans$])},useSortColumn=()=>{const eo=useTraceViewModel();return useState(eo.sortColumn$)},useSetSortColumn=()=>useSetState(useTraceViewModel().sortColumn$),useSortableColumns=()=>useTraceViewModel().sortableColumns,useSelectedEvaluationTraceId=()=>useState(useTraceViewModel().selectedEvaluationTraceId$),useSetSelectedEvaluationTraceId=()=>useSetState(useTraceViewModel().selectedEvaluationTraceId$),useSelectedTraceTitleParts=()=>useState(useTraceViewModel().traceDetailTitleParts$),useSpanEventsLoadStatus=()=>useTraceViewModel().spanEventsLoadStatus$,StreamSwitcher=({isStreaming:eo,style:to,onIsStreamingChange:ro,labelName:no})=>{const oo=useLocStrings();return jsxRuntimeExports.jsx(Switch,{label:no||oo.Streaming,labelPosition:"before",checked:eo,onChange:(io,so)=>ro(so.checked),style:to})};var UISize=(eo=>(eo.extraSmall="extra-small",eo.small="small",eo.normal="normal",eo.large="large",eo))(UISize||{});const useUISize=eo=>{const{textSize:to,iconSize:ro,gap:no}=reactExports.useMemo(()=>{switch(eo){case UISize.extraSmall:return{textSize:200,iconSize:"12px",gap:"2px"};case UISize.small:return{textSize:300,iconSize:"16px",gap:"2px"};case UISize.large:return{textSize:500,iconSize:"26px",gap:"5px"};case UISize.normal:default:return{textSize:400,iconSize:"20px",gap:"5px"}}},[eo]);return{textSize:to,iconSize:ro,gap:no}},LatencyText=({startTimeISOString:eo,endTimeISOString:to,size:ro,tipTextSize:no})=>{const oo=useClasses$s(),io=eo?new Date(eo):void 0,so=to?new Date(to):void 0,ao=io&&so?so.getTime()-io.getTime():void 0,lo=latencyFormat(ao),{textSize:uo,iconSize:co,gap:fo}=useUISize(ro);return jsxRuntimeExports.jsx(Tooltip,{content:jsxRuntimeExports.jsxs(jsxRuntimeExports.Fragment,{children:[jsxRuntimeExports.jsx(Text$2,{size:no,weight:"bold",block:!0,children:"Start Time"}),jsxRuntimeExports.jsx(Text$2,{size:no,block:!0,children:timeFormat(eo)}),jsxRuntimeExports.jsx(Text$2,{size:no,weight:"bold",block:!0,children:"End Time"}),jsxRuntimeExports.jsx(Text$2,{size:no,block:!0,children:timeFormat(to)})]}),relationship:"label",children:jsxRuntimeExports.jsxs("div",{className:oo.wrapper,style:{gap:fo},children:[jsxRuntimeExports.jsx(Clock20Regular,{style:{height:co,width:co}}),jsxRuntimeExports.jsx(Text$2,{size:uo,className:oo.text,children:lo})]})})},useClasses$s=makeStyles({wrapper:{display:"inline-flex",flexDirection:"row",alignItems:"center"},text:{color:tokens.colorNeutralForeground3,fontWeight:600}}),MetricTag=({tag:eo})=>{const to=useClasses$r(),[ro,no]=React.useState(!0),oo=reactExports.useMemo(()=>{if(typeof eo.value=="number")return formatNumber$1(eo.value);{const io=eo.value.toString();return ro&&io.length>20?io.substring(0,20)+"...":io}},[eo.value,ro]);return jsxRuntimeExports.jsxs(Badge$2,{className:to.wrapper,size:"medium",shape:"rounded",appearance:"outline",onClick:()=>no(!ro),children:[jsxRuntimeExports.jsxs("span",{className:to.name,children:[eo.name," "]}),jsxRuntimeExports.jsx("span",{className:to.data,children:oo})]})},useClasses$r=makeStyles({wrapper:{display:"inline-flex",fontSize:"12px",cursor:"pointer",...shorthands.padding("0px","8px","1px"),...shorthands.borderColor(tokens.colorPaletteGreenBorder2),...shorthands.gap("0.5rem")},name:{color:tokens.colorPaletteGreenBorder2,fontWeight:tokens.fontWeightRegular},data:{color:tokens.colorNeutralForeground1,fontWeight:tokens.fontWeightRegular}});function TokenText({token:eo,info:to,size:ro=UISize.normal}){const no=useClasses$q(),oo=typeof eo=="number"?intFormatter(eo):eo,{textSize:io,iconSize:so,gap:ao}=useUISize(ro);return jsxRuntimeExports.jsxs("div",{className:no.wrapper,style:{gap:ao},children:[jsxRuntimeExports.jsx(NumberCircle020Regular,{style:{height:so,width:so}}),to?jsxRuntimeExports.jsx(Tooltip,{content:to,relationship:"description",children:jsxRuntimeExports.jsx(Text$2,{size:io,className:no.text,children:oo})}):jsxRuntimeExports.jsx(Text$2,{size:io,className:no.text,children:oo})]})}const useClasses$q=makeStyles({wrapper:{display:"inline-flex",flexDirection:"row",alignItems:"center",justifyContent:"center"},text:{color:tokens.colorNeutralForeground3,fontWeight:600}}),NodeToken=({span:eo,showDetail:to=!0,size:ro})=>{const no=useParseTraceOutput(eo);if(!no||typeof no=="string")return null;const oo=no.usage;return!oo||typeof oo=="string"||!oo.total_tokens?null:jsxRuntimeExports.jsx(TokenText,{token:oo.total_tokens,size:ro,info:to?jsxRuntimeExports.jsxs("div",{style:{display:"flex",flexDirection:"column",rowGap:6},children:[jsxRuntimeExports.jsx(MetricTag,{tag:{name:"Total tokens",value:oo.total_tokens??0}}),jsxRuntimeExports.jsx(MetricTag,{tag:{name:"Prompt tokens",value:oo.prompt_tokens??0}}),jsxRuntimeExports.jsx(MetricTag,{tag:{name:"Completion tokens",value:oo.completion_tokens??0}})]}):void 0})},SummaryToken=({trace:eo,showDetail:to=!0,size:ro})=>{const{total_tokens:no,prompt_tokens:oo,completion_tokens:io}=eo;return jsxRuntimeExports.jsx(TokenText,{token:no,size:ro,info:to?jsxRuntimeExports.jsxs("div",{style:{display:"flex",flexDirection:"column",rowGap:6},children:[jsxRuntimeExports.jsx(MetricTag,{tag:{name:"Total tokens",value:no}}),oo!==void 0&&jsxRuntimeExports.jsx(MetricTag,{tag:{name:"Prompt tokens",value:oo}}),io!==void 0&&jsxRuntimeExports.jsx(MetricTag,{tag:{name:"Completion tokens",value:io}})]}):void 0})};function StatusText({statusCode:eo,showText:to=!1,size:ro,tooltipContent:no}){const oo=useClasses$p(),io=useLocStrings();eo=eo||io.unknown;const{textSize:so,iconSize:ao,gap:lo}=useUISize(ro),uo=reactExports.useMemo(()=>({width:ao,height:ao}),[ao]),[co,fo]=reactExports.useMemo(()=>{switch(eo==null?void 0:eo.toLowerCase()){case"ok":case"completed":return[jsxRuntimeExports.jsx(CheckmarkCircle20Filled,{style:uo},"ok"),tokens.colorPaletteGreenForeground1];case"error":return[jsxRuntimeExports.jsx(DismissCircle20Filled,{style:uo},"error"),tokens.colorPaletteRedForeground1];case"unset":return[jsxRuntimeExports.jsx(ErrorCircle20Filled,{style:uo},"unset"),tokens.colorPaletteYellowForeground1];case"running":return[jsxRuntimeExports.jsx(ArrowClockwiseDashes20Filled,{className:oo.rotate,style:uo},"running"),tokens.colorPaletteYellowForeground1];default:return[jsxRuntimeExports.jsx(QuestionCircle20Filled,{},"unknown"),tokens.colorPaletteYellowForeground1]}},[oo.rotate,uo,eo]);return jsxRuntimeExports.jsx(Tooltip,{content:no??eo??"",relationship:"label",children:jsxRuntimeExports.jsxs("div",{className:oo.wrapper,style:{color:fo,gap:to?lo:0},children:[co,to&&jsxRuntimeExports.jsx(Text$2,{size:so,children:eo})]})})}const useClasses$p=makeStyles({wrapper:{display:"inline-flex",flexDirection:"row",alignItems:"center",justifyContent:"center"},rotate:{animationDuration:"2s",animationTimingFunction:"linear",animationIterationCount:"infinite",animationName:{from:{transform:"rotate(0deg)"},to:{transform:"rotate(360deg)"}}}}),useClasses$o=makeStyles({root:{display:"flex",fontSize:tokens.fontSizeBase200,marginLeft:"8px",...shorthands.gap("8px","column")}}),TraceSystemMetrics=()=>{const eo=useSelectedTrace(),to=useClasses$o();return eo?jsxRuntimeExports.jsxs("div",{className:to.root,children:[jsxRuntimeExports.jsx(StatusText,{statusCode:eo.status,size:UISize.normal,showText:!0}),jsxRuntimeExports.jsx(LatencyText,{startTimeISOString:eo.start_time,endTimeISOString:eo.end_time,size:UISize.normal}),jsxRuntimeExports.jsx(SummaryToken,{trace:convertToTraceListRow(eo),size:UISize.normal})]}):null},useClasses$n=makeStyles({title:{...shorthands.flex(1),...shorthands.padding("0"),lineHeight:"28px",fontSize:"20px",fontWeight:600},button:{fontSize:"20px",...shorthands.padding("0")}}),TraceDetailTitle=()=>{const eo=useSelectedTraceTitleParts(),to=useSetSelectedEvaluationTraceId(),ro=eo[0],no=eo[1],oo=useClasses$n();return jsxRuntimeExports.jsxs(Breadcrumb,{className:oo.title,size:"large",children:[jsxRuntimeExports.jsx(BreadcrumbItem,{children:jsxRuntimeExports.jsxs(BreadcrumbButton,{className:oo.button,onClick:()=>{to(void 0)},children:[ro,!no&&jsxRuntimeExports.jsx(TraceSystemMetrics,{})]})}),no&&jsxRuntimeExports.jsx(BreadcrumbDivider,{}),no&&jsxRuntimeExports.jsx(BreadcrumbItem,{children:jsxRuntimeExports.jsxs(BreadcrumbButton,{className:oo.button,children:[no,jsxRuntimeExports.jsx(TraceSystemMetrics,{})]})})]})},TraceDetailHeader=({setIsTraceDetailOpen:eo,showRefresh:to=!0,showGantt:ro=!1,showCopyUrl:no=!1,showStreamSwitch:oo=!1,isStreaming:io,onIsStreamingChange:so})=>{const ao=useClasses$m(),lo=useLocStrings(),uo=useTraceViewModel(),co=useIsGanttChartOpen(),[fo,ho]=React.useState("Copy URL"),po=useSelectedTrace(),go=po!=null&&po.start_time?timeFormat(po.start_time):void 0;return jsxRuntimeExports.jsxs(jsxRuntimeExports.Fragment,{children:[jsxRuntimeExports.jsxs("div",{className:ao.header,children:[jsxRuntimeExports.jsx(TraceDetailTitle,{}),go&&jsxRuntimeExports.jsxs("time",{className:ao.time,children:["Created on: ",go]}),jsxRuntimeExports.jsx(Divider$2,{vertical:!0,className:ao.divider}),jsxRuntimeExports.jsx(TraceNavigation,{}),oo&&io!==void 0&&so!==void 0&&jsxRuntimeExports.jsx(StreamSwitcher,{style:{marginRight:"16px",marginTop:"4px"},isStreaming:io,onIsStreamingChange:so}),no?jsxRuntimeExports.jsx(Tooltip,{content:lo[`${fo}`],relationship:"description",children:jsxRuntimeExports.jsx(Button$2,{appearance:"subtle","aria-label":"Copy URL",icon:jsxRuntimeExports.jsx(SendCopy20Regular,{}),onMouseEnter:()=>{ho("Copy URL")},onClick:()=>{if(uo.traceDetailCopyUrl()){ho("Copied!");return}const vo=window.location.href;if(navigator.clipboard)navigator.clipboard.writeText(vo),ho("Copied!");else{const bo=document.createElement("textarea");bo.value=vo,document.body.appendChild(bo),bo.select();try{document.execCommand("copy"),ho("Copied!")}catch(xo){console.error("Fallback: Oops, unable to copy",xo),ho("Oops, unable to copy!")}document.body.removeChild(bo)}}})}):null,to?jsxRuntimeExports.jsx(Tooltip,{content:lo["Refresh Data"],relationship:"description",children:jsxRuntimeExports.jsx(Button$2,{appearance:"subtle","aria-label":"Refresh",icon:jsxRuntimeExports.jsx(ArrowClockwise16Regular,{}),onClick:()=>uo.refreshSpans()})}):null,ro?jsxRuntimeExports.jsx(Tooltip,{content:lo[co?"Hide Gantt":"Show Gantt"],relationship:"description",children:jsxRuntimeExports.jsx(Button$2,{style:{color:co?tokens.colorBrandForeground1:""},appearance:"subtle","aria-label":"Close",icon:jsxRuntimeExports.jsx(GanttChart20Regular,{}),onClick:()=>uo.toggleIsGanttChartOpen()})}):null,jsxRuntimeExports.jsx(Button$2,{appearance:"subtle","aria-label":"Close",icon:jsxRuntimeExports.jsx(Dismiss20Regular,{}),onClick:()=>eo(!1)})]}),jsxRuntimeExports.jsx(Divider$2,{})]})},TraceNavigation=()=>{const eo=useLocStrings(),to=useClasses$m(),{hasPreviousTrace:ro,hasNextTrace:no,goToPreviousTrace:oo,goToNextTrace:io}=useTraceNavigation();return ro||no?jsxRuntimeExports.jsxs(jsxRuntimeExports.Fragment,{children:[jsxRuntimeExports.jsxs("div",{className:to.navigation,children:[ro&&jsxRuntimeExports.jsxs(Button$2,{icon:jsxRuntimeExports.jsx(ArrowUp20Regular,{}),onClick:oo,appearance:"subtle",children:[eo["Previous trace"]," "]}),no&&jsxRuntimeExports.jsxs(Button$2,{icon:jsxRuntimeExports.jsx(ArrowDown20Regular,{}),onClick:io,appearance:"subtle",children:[eo["Next trace"]," "]})]}),jsxRuntimeExports.jsx(Divider$2,{vertical:!0,className:to.divider})]}):null},useClasses$m=makeStyles({header:{display:"flex",width:"100%",boxSizing:"border-box",...shorthands.padding("12px","20px")},divider:{height:"100%",...shorthands.flex("none"),...shorthands.padding(0,tokens.spacingHorizontalM)},navigation:{display:"flex",alignItems:"center",...shorthands.gap(tokens.spacingHorizontalS)},time:{display:"flex",alignItems:"center",paddingRight:tokens.spacingHorizontalL,...shorthands.flex("0 1 auto")}}),traceDetailErrorInjectionToken=createInjectionToken("traceDetailErrorInjectionToken",()=>{const eo=useLocStrings();return jsxRuntimeExports.jsx(MessageBar,{intent:"error",children:eo.Failed_to_load_trace})}),traceDetailLoadingInjectionToken=createInjectionToken("traceDetailLoadingInjectionToken",Loading),traceListErrorInjectionToken=createInjectionToken("traceListErrorInjectionToken",()=>{const eo=useLocStrings();return jsxRuntimeExports.jsx(MessageBar,{intent:"error",children:eo.Failed_to_load_traces})}),traceListLoadingInjectionToken=createInjectionToken("traceListLoadingInjectionToken",Loading),useTraceListViewStatus=()=>{const eo=useTraceViewModel();return useState(eo.traceListStatus$)},useTraceDetailViewStatus=()=>{const eo=useTraceViewModel();return useState(eo.traceDetailStatus$)},useTraceListLoadingComponent=()=>{const[eo]=useInjected(traceListLoadingInjectionToken);return eo},useTraceListErrorComponent=()=>{const[eo]=useInjected(traceListErrorInjectionToken);return eo},useTraceDetailLoadingComponent=()=>{const[eo]=useInjected(traceDetailLoadingInjectionToken);return eo},useTraceDetailErrorComponent=()=>{const[eo]=useInjected(traceDetailErrorInjectionToken);return eo},TREE_NODE_HEIGHT=40,TREE_NODE_WIDTH=400,TREE_NODE_PADDING=10,TREE_NODE_INDENT=48,sortTraceByStartTimeDesc=(eo,to)=>eo.start_time&&to.start_time?Date.parse(to.start_time)-Date.parse(eo.start_time):1,sortTraceByStartTimeAsc=(eo,to)=>eo.start_time&&to.start_time?Date.parse(eo.start_time)-Date.parse(to.start_time):1,defaultGetNodeX=({level:eo})=>eo*TREE_NODE_INDENT,defaultGetNodeWidth=()=>TREE_NODE_WIDTH,defaultGetNodeHeight=()=>TREE_NODE_HEIGHT,spansToGraphModel=(eo,{isEdgesHidden:to=!1,getNodeX:ro=defaultGetNodeX,getNodeWidth:no=defaultGetNodeWidth,getNodeHeight:oo=defaultGetNodeHeight,collapsedSpanIds:io})=>{const so=[],ao=[],lo=new Map,uo=new Set,co=new Set(eo.map(po=>{var go;return(go=po.context)==null?void 0:go.span_id}).filter(po=>!!po));eo.forEach(po=>{var go,vo;(go=po.context)!=null&&go.span_id&&(po.parent_id&&co.has(po.parent_id)?lo.has(po.parent_id)?lo.get(po.parent_id).push(po):lo.set(po.parent_id,[po]):uo.add((vo=po.context)==null?void 0:vo.span_id))});const fo=eo.filter(po=>{var go,vo;return((go=po.context)==null?void 0:go.span_id)&&uo.has((vo=po.context)==null?void 0:vo.span_id)}).sort((po,go)=>Date.parse(po.start_time??"")??0-Date.parse(go.start_time??"")??0);let ho=0;return fo.sort(sortTraceByStartTimeAsc).forEach(po=>{var vo,bo;const go=[{span:po,level:0}];for(;go.length>0;){const{span:xo,level:_o}=go.pop(),Eo=oo({span:xo,level:_o,index:ho});so.push({id:((vo=xo==null?void 0:xo.context)==null?void 0:vo.span_id)??"",width:no({span:xo,level:_o,index:ho}),height:Eo,x:ro({span:xo,level:_o,index:ho}),y:ho*(Eo+TREE_NODE_PADDING),ports:[{id:"port",name:"port",position:[0,.5]}]}),ho++,(bo=xo==null?void 0:xo.context)!=null&&bo.span_id&&lo.has(xo.context.span_id)&&!(io!=null&&io.has(xo.context.span_id))&&lo.get(xo.context.span_id).sort(sortTraceByStartTimeDesc).forEach(So=>{var To,wo;!to&&((To=xo==null?void 0:xo.context)!=null&&To.span_id)&&((wo=So==null?void 0:So.context)!=null&&wo.span_id)&&ao.push({id:`${xo.context.span_id}-${So.context.span_id}`,source:xo.context.span_id,sourcePortId:"port",target:So.context.span_id,targetPortId:"port"}),go.push({span:So,level:_o+1})})}}),{graph:GraphModel.fromJSON({nodes:so,edges:ao}),rootIds:Array.from(uo.values()),parentIdLookUp:lo}},TreeViewEdge=({x1:eo,x2:to,y1:ro,y2:no,model:oo,data:io})=>{if(!io.nodes.get(oo.source)||!io.nodes.get(oo.target))return null;const lo=eo+30,uo=to+20,co=ro+10,fo=`M ${lo} ${co} L ${lo} ${no}  L ${uo} ${no}`;return jsxRuntimeExports.jsx("g",{children:jsxRuntimeExports.jsx("path",{d:fo,stroke:tokens.colorNeutralStrokeAccessible,strokeWidth:1,fill:"none"})})};class EdgeConfig{render(to){return jsxRuntimeExports.jsx(TreeViewEdge,{...to})}}const GanttTreeNode=({node:eo})=>{const to=bitset.has(GraphNodeStatus.Selected)(eo.status),ro=bitset.has(GraphNodeStatus.Activated)(eo.status);let no=tokens.colorNeutralStroke1,oo=tokens.colorBrandBackground2,io=1;return to&&(no=tokens.colorBrandStroke2,io=2,oo=tokens.colorBrandBackground2Pressed),ro&&(oo=tokens.colorBrandBackground2Hover),jsxRuntimeExports.jsx("foreignObject",{x:eo.x,y:eo.y,width:eo.width,height:eo.height,style:{border:`${io}px solid ${no}`,backgroundColor:oo,borderRadius:10,paddingLeft:10},children:jsxRuntimeExports.jsx("div",{style:{height:"100%",width:"100%",display:"flex",alignItems:"center",justifyContent:"space-between",flexWrap:"nowrap",cursor:"pointer"}})})};class GanttNodeConfig{constructor(to){this.options=to}render(to){const ro=this.options.spans.find(no=>{var oo;return((oo=no==null?void 0:no.context)==null?void 0:oo.span_id)===to.model.id});return ro?jsxRuntimeExports.jsx(GanttTreeNode,{node:to.model,span:ro}):null}getMinHeight(){return 0}getMinWidth(){return 0}}const GanttTimeline=({startMs:eo,endMs:to})=>{const ro=to-eo,no=Math.pow(10,Math.floor(Math.log10(ro))-1),oo=Math.ceil(ro/no),io=[],so=[];for(let ao=0;ao<oo;ao++){const lo=ao*no/ro,uo=`${ao*no} ms`;io.push(jsxRuntimeExports.jsx("span",{style:{position:"absolute",left:`${lo*100}%`,top:0,bottom:0,width:1,backgroundColor:tokens.colorNeutralStroke1}},ao)),so.push(jsxRuntimeExports.jsx("span",{style:{position:"absolute",left:`${lo*100}%`,marginLeft:-24,bottom:0,fontSize:"0.8em"},children:uo},ao))}return jsxRuntimeExports.jsxs(jsxRuntimeExports.Fragment,{children:[jsxRuntimeExports.jsx("div",{children:io}),jsxRuntimeExports.jsx("div",{children:so})]})};class PortConfig{render(to){return null}getIsConnectable(){return!1}}const TreeGraph=({state:eo,dispatch:to})=>jsxRuntimeExports.jsx("div",{style:{width:"100%",height:"100%"},children:jsxRuntimeExports.jsx(ReactDagEditor,{state:eo,dispatch:to,style:{height:"100%",flexGrow:1,display:"flex"},children:jsxRuntimeExports.jsx(Graph,{canvasMouseMode:CanvasMouseMode.Pan})})}),GanttView=()=>{var po;const eo=useSpansOfSelectedTrace(),to=useSetSelectedSpanId(),ro=useSelectedSpanId(),no=go=>(vo,bo)=>(bo&&bo.type===GraphNodeEvent.Click&&to(bo.node.id),go(vo,bo)),oo=GraphConfigBuilder.default().registerNode(()=>new GanttNodeConfig({spans:eo})).registerPort(()=>new PortConfig).registerEdge(()=>new EdgeConfig).build();previewMode.add(GraphFeatures.ClickNodeToSelect);const[so,ao]=useGraphReducer({data:GraphModel.empty(),settings:{features:previewMode,graphConfig:oo}},no),lo=((po=so.viewport.rect)==null?void 0:po.width)||1200;let uo=Number.MAX_SAFE_INTEGER,co=0;eo.forEach(go=>{const vo=Date.parse(go.start_time??"");vo<uo&&(uo=vo);const bo=Date.parse(go.end_time??"");bo>co&&(co=bo)});const fo=reactExports.useCallback(({span:go})=>lo/(co-uo)*(Date.parse(go.start_time??"")-uo),[co,lo,uo]),ho=reactExports.useCallback(({span:go})=>lo/(co-uo)*(Date.parse(go.end_time??"")-Date.parse(go.start_time??"")),[co,lo,uo]);return 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AsciiCodePoint;(function(eo){eo[eo.NUL=0]="NUL",eo[eo.SOH=1]="SOH",eo[eo.STX=2]="STX",eo[eo.ETX=3]="ETX",eo[eo.EOT=4]="EOT",eo[eo.ENQ=5]="ENQ",eo[eo.ACK=6]="ACK",eo[eo.BEL=7]="BEL",eo[eo.BS=8]="BS",eo[eo.HT=9]="HT",eo[eo.LF=10]="LF",eo[eo.VT=11]="VT",eo[eo.FF=12]="FF",eo[eo.CR=13]="CR",eo[eo.SO=14]="SO",eo[eo.SI=15]="SI",eo[eo.DLE=16]="DLE",eo[eo.DC1=17]="DC1",eo[eo.DC2=18]="DC2",eo[eo.DC3=19]="DC3",eo[eo.DC4=20]="DC4",eo[eo.NAK=21]="NAK",eo[eo.SYN=22]="SYN",eo[eo.ETB=23]="ETB",eo[eo.CAN=24]="CAN",eo[eo.EM=25]="EM",eo[eo.SUB=26]="SUB",eo[eo.ESC=27]="ESC",eo[eo.FS=28]="FS",eo[eo.GS=29]="GS",eo[eo.RS=30]="RS",eo[eo.US=31]="US",eo[eo.SPACE=32]="SPACE",eo[eo.EXCLAMATION_MARK=33]="EXCLAMATION_MARK",eo[eo.DOUBLE_QUOTE=34]="DOUBLE_QUOTE",eo[eo.NUMBER_SIGN=35]="NUMBER_SIGN",eo[eo.DOLLAR_SIGN=36]="DOLLAR_SIGN",eo[eo.PERCENT_SIGN=37]="PERCENT_SIGN",eo[eo.AMPERSAND=38]="AMPERSAND",eo[eo.SINGLE_QUOTE=39]="SINGLE_QUOTE",eo[eo.OPEN_PARENTHESIS=40]="OPEN_PARENTHESIS",eo[eo.CLOSE_PARENTHESIS=41]="CLOSE_PARENTHESIS",eo[eo.ASTERISK=42]="ASTERISK",eo[eo.PLUS_SIGN=43]="PLUS_SIGN",eo[eo.COMMA=44]="COMMA",eo[eo.MINUS_SIGN=45]="MINUS_SIGN",eo[eo.DOT=46]="DOT",eo[eo.SLASH=47]="SLASH",eo[eo.DIGIT0=48]="DIGIT0",eo[eo.DIGIT1=49]="DIGIT1",eo[eo.DIGIT2=50]="DIGIT2",eo[eo.DIGIT3=51]="DIGIT3",eo[eo.DIGIT4=52]="DIGIT4",eo[eo.DIGIT5=53]="DIGIT5",eo[eo.DIGIT6=54]="DIGIT6",eo[eo.DIGIT7=55]="DIGIT7",eo[eo.DIGIT8=56]="DIGIT8",eo[eo.DIGIT9=57]="DIGIT9",eo[eo.COLON=58]="COLON",eo[eo.SEMICOLON=59]="SEMICOLON",eo[eo.OPEN_ANGLE=60]="OPEN_ANGLE",eo[eo.EQUALS_SIGN=61]="EQUALS_SIGN",eo[eo.CLOSE_ANGLE=62]="CLOSE_ANGLE",eo[eo.QUESTION_MARK=63]="QUESTION_MARK",eo[eo.AT_SIGN=64]="AT_SIGN",eo[eo.UPPERCASE_A=65]="UPPERCASE_A",eo[eo.UPPERCASE_B=66]="UPPERCASE_B",eo[eo.UPPERCASE_C=67]="UPPERCASE_C",eo[eo.UPPERCASE_D=68]="UPPERCASE_D",eo[eo.UPPERCASE_E=69]="UPPERCASE_E",eo[eo.UPPERCASE_F=70]="UPPERCASE_F",eo[eo.UPPERCASE_G=71]="UPPERCASE_G",eo[eo.UPPERCASE_H=72]="UPPERCASE_H",eo[eo.UPPERCASE_I=73]="UPPERCASE_I",eo[eo.UPPERCASE_J=74]="UPPERCASE_J",eo[eo.UPPERCASE_K=75]="UPPERCASE_K",eo[eo.UPPERCASE_L=76]="UPPERCASE_L",eo[eo.UPPERCASE_M=77]="UPPERCASE_M",eo[eo.UPPERCASE_N=78]="UPPERCASE_N",eo[eo.UPPERCASE_O=79]="UPPERCASE_O",eo[eo.UPPERCASE_P=80]="UPPERCASE_P",eo[eo.UPPERCASE_Q=81]="UPPERCASE_Q",eo[eo.UPPERCASE_R=82]="UPPERCASE_R",eo[eo.UPPERCASE_S=83]="UPPERCASE_S",eo[eo.UPPERCASE_T=84]="UPPERCASE_T",eo[eo.UPPERCASE_U=85]="UPPERCASE_U",eo[eo.UPPERCASE_V=86]="UPPERCASE_V",eo[eo.UPPERCASE_W=87]="UPPERCASE_W",eo[eo.UPPERCASE_X=88]="UPPERCASE_X",eo[eo.UPPERCASE_Y=89]="UPPERCASE_Y",eo[eo.UPPERCASE_Z=90]="UPPERCASE_Z",eo[eo.OPEN_BRACKET=91]="OPEN_BRACKET",eo[eo.BACKSLASH=92]="BACKSLASH",eo[eo.CLOSE_BRACKET=93]="CLOSE_BRACKET",eo[eo.CARET=94]="CARET",eo[eo.UNDERSCORE=95]="UNDERSCORE",eo[eo.BACKTICK=96]="BACKTICK",eo[eo.LOWERCASE_A=97]="LOWERCASE_A",eo[eo.LOWERCASE_B=98]="LOWERCASE_B",eo[eo.LOWERCASE_C=99]="LOWERCASE_C",eo[eo.LOWERCASE_D=100]="LOWERCASE_D",eo[eo.LOWERCASE_E=101]="LOWERCASE_E",eo[eo.LOWERCASE_F=102]="LOWERCASE_F",eo[eo.LOWERCASE_G=103]="LOWERCASE_G",eo[eo.LOWERCASE_H=104]="LOWERCASE_H",eo[eo.LOWERCASE_I=105]="LOWERCASE_I",eo[eo.LOWERCASE_J=106]="LOWERCASE_J",eo[eo.LOWERCASE_K=107]="LOWERCASE_K",eo[eo.LOWERCASE_L=108]="LOWERCASE_L",eo[eo.LOWERCASE_M=109]="LOWERCASE_M",eo[eo.LOWERCASE_N=110]="LOWERCASE_N",eo[eo.LOWERCASE_O=111]="LOWERCASE_O",eo[eo.LOWERCASE_P=112]="LOWERCASE_P",eo[eo.LOWERCASE_Q=113]="LOWERCASE_Q",eo[eo.LOWERCASE_R=114]="LOWERCASE_R",eo[eo.LOWERCASE_S=115]="LOWERCASE_S",eo[eo.LOWERCASE_T=116]="LOWERCASE_T",eo[eo.LOWERCASE_U=117]="LOWERCASE_U",eo[eo.LOWERCASE_V=118]="LOWERCASE_V",eo[eo.LOWERCASE_W=119]="LOWERCASE_W",eo[eo.LOWERCASE_X=120]="LOWERCASE_X",eo[eo.LOWERCASE_Y=121]="LOWERCASE_Y",eo[eo.LOWERCASE_Z=122]="LOWERCASE_Z",eo[eo.OPEN_BRACE=123]="OPEN_BRACE",eo[eo.VERTICAL_SLASH=124]="VERTICAL_SLASH",eo[eo.CLOSE_BRACE=125]="CLOSE_BRACE",eo[eo.TILDE=126]="TILDE",eo[eo.DELETE=127]="DELETE"})(AsciiCodePoint||(AsciiCodePoint={}));const 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UnicodePcCodePoint;(function(eo){eo[eo.LOW_LINE=95]="LOW_LINE",eo[eo.UNDERTIE=8255]="UNDERTIE",eo[eo.CHARACTER_TIE=8256]="CHARACTER_TIE",eo[eo.INVERTED_UNDERTIE=8276]="INVERTED_UNDERTIE",eo[eo.PRESENTATION_FORM_FOR_VERTICAL_LOW_LINE=65075]="PRESENTATION_FORM_FOR_VERTICAL_LOW_LINE",eo[eo.PRESENTATION_FORM_FOR_VERTICAL_WAVY_LOW_LINE=65076]="PRESENTATION_FORM_FOR_VERTICAL_WAVY_LOW_LINE",eo[eo.DASHED_LOW_LINE=65101]="DASHED_LOW_LINE",eo[eo.CENTRELINE_LOW_LINE=65102]="CENTRELINE_LOW_LINE",eo[eo.WAVY_LOW_LINE=65103]="WAVY_LOW_LINE",eo[eo.FULLWIDTH_LOW_LINE=65343]="FULLWIDTH_LOW_LINE"})(UnicodePcCodePoint||(UnicodePcCodePoint={}));var UnicodePdCodePoint;(function(eo){eo[eo.HYPHEN_MINUS=45]="HYPHEN_MINUS",eo[eo.ARMENIAN_HYPHEN=1418]="ARMENIAN_HYPHEN",eo[eo.HEBREW_PUNCTUATION_MAQAF=1470]="HEBREW_PUNCTUATION_MAQAF",eo[eo.CANADIAN_SYLLABICS_HYPHEN=5120]="CANADIAN_SYLLABICS_HYPHEN",eo[eo.MONGOLIAN_TODO_SOFT_HYPHEN=6150]="MONGOLIAN_TODO_SOFT_HYPHEN",eo[eo.HYPHEN=8208]="HYPHEN",eo[eo.NON_BREAKING_HYPHEN=8209]="NON_BREAKING_HYPHEN",eo[eo.FIGURE_DASH=8210]="FIGURE_DASH",eo[eo.EN_DASH=8211]="EN_DASH",eo[eo.EM_DASH=8212]="EM_DASH",eo[eo.HORIZONTAL_BAR=8213]="HORIZONTAL_BAR",eo[eo.DOUBLE_OBLIQUE_HYPHEN=11799]="DOUBLE_OBLIQUE_HYPHEN",eo[eo.HYPHEN_WITH_DIAERESIS=11802]="HYPHEN_WITH_DIAERESIS",eo[eo.TWO_EM_DASH=11834]="TWO_EM_DASH",eo[eo.THREE_EM_DASH=11835]="THREE_EM_DASH",eo[eo.DOUBLE_HYPHEN=11840]="DOUBLE_HYPHEN",eo[eo.WAVE_DASH=12316]="WAVE_DASH",eo[eo.WAVY_DASH=12336]="WAVY_DASH",eo[eo.KATAKANA_HIRAGANA_DOUBLE_HYPHEN=12448]="KATAKANA_HIRAGANA_DOUBLE_HYPHEN",eo[eo.PRESENTATION_FORM_FOR_VERTICAL_EM_DASH=65073]="PRESENTATION_FORM_FOR_VERTICAL_EM_DASH",eo[eo.PRESENTATION_FORM_FOR_VERTICAL_EN_DASH=65074]="PRESENTATION_FORM_FOR_VERTICAL_EN_DASH",eo[eo.SMALL_EM_DASH=65112]="SMALL_EM_DASH",eo[eo.SMALL_HYPHEN_MINUS=65123]="SMALL_HYPHEN_MINUS",eo[eo.FULLWIDTH_HYPHEN_MINUS=65293]="FULLWIDTH_HYPHEN_MINUS",eo[eo.YEZIDI_HYPHENATION_MARK=69293]="YEZIDI_HYPHENATION_MARK"})(UnicodePdCodePoint||(UnicodePdCodePoint={}));var UnicodePeCodePoint;(function(eo){eo[eo.RIGHT_PARENTHESIS=41]="RIGHT_PARENTHESIS",eo[eo.RIGHT_SQUARE_BRACKET=93]="RIGHT_SQUARE_BRACKET",eo[eo.RIGHT_CURLY_BRACKET=125]="RIGHT_CURLY_BRACKET",eo[eo.TIBETAN_MARK_GUG_RTAGS_GYAS=3899]="TIBETAN_MARK_GUG_RTAGS_GYAS",eo[eo.TIBETAN_MARK_ANG_KHANG_GYAS=3901]="TIBETAN_MARK_ANG_KHANG_GYAS",eo[eo.OGHAM_REVERSED_FEATHER_MARK=5788]="OGHAM_REVERSED_FEATHER_MARK",eo[eo.RIGHT_SQUARE_BRACKET_WITH_QUILL=8262]="RIGHT_SQUARE_BRACKET_WITH_QUILL",eo[eo.SUPERSCRIPT_RIGHT_PARENTHESIS=8318]="SUPERSCRIPT_RIGHT_PARENTHESIS",eo[eo.SUBSCRIPT_RIGHT_PARENTHESIS=8334]="SUBSCRIPT_RIGHT_PARENTHESIS",eo[eo.RIGHT_CEILING=8969]="RIGHT_CEILING",eo[eo.RIGHT_FLOOR=8971]="RIGHT_FLOOR",eo[eo.RIGHT_POINTING_ANGLE_BRACKET=9002]="RIGHT_POINTING_ANGLE_BRACKET",eo[eo.MEDIUM_RIGHT_PARENTHESIS_ORNAMENT=10089]="MEDIUM_RIGHT_PARENTHESIS_ORNAMENT",eo[eo.MEDIUM_FLATTENED_RIGHT_PARENTHESIS_ORNAMENT=10091]="MEDIUM_FLATTENED_RIGHT_PARENTHESIS_ORNAMENT",eo[eo.MEDIUM_RIGHT_POINTING_ANGLE_BRACKET_ORNAMENT=10093]="MEDIUM_RIGHT_POINTING_ANGLE_BRACKET_ORNAMENT",eo[eo.HEAVY_RIGHT_POINTING_ANGLE_QUOTATION_MARK_ORNAMENT=10095]="HEAVY_RIGHT_POINTING_ANGLE_QUOTATION_MARK_ORNAMENT",eo[eo.HEAVY_RIGHT_POINTING_ANGLE_BRACKET_ORNAMENT=10097]="HEAVY_RIGHT_POINTING_ANGLE_BRACKET_ORNAMENT",eo[eo.LIGHT_RIGHT_TORTOISE_SHELL_BRACKET_ORNAMENT=10099]="LIGHT_RIGHT_TORTOISE_SHELL_BRACKET_ORNAMENT",eo[eo.MEDIUM_RIGHT_CURLY_BRACKET_ORNAMENT=10101]="MEDIUM_RIGHT_CURLY_BRACKET_ORNAMENT",eo[eo.RIGHT_S_SHAPED_BAG_DELIMITER=10182]="RIGHT_S_SHAPED_BAG_DELIMITER",eo[eo.MATHEMATICAL_RIGHT_WHITE_SQUARE_BRACKET=10215]="MATHEMATICAL_RIGHT_WHITE_SQUARE_BRACKET",eo[eo.MATHEMATICAL_RIGHT_ANGLE_BRACKET=10217]="MATHEMATICAL_RIGHT_ANGLE_BRACKET",eo[eo.MATHEMATICAL_RIGHT_DOUBLE_ANGLE_BRACKET=10219]="MATHEMATICAL_RIGHT_DOUBLE_ANGLE_BRACKET",eo[eo.MATHEMATICAL_RIGHT_WHITE_TORTOISE_SHELL_BRACKET=10221]="MATHEMATICAL_RIGHT_WHITE_TORTOISE_SHELL_BRACKET",eo[eo.MATHEMATICAL_RIGHT_FLATTENED_PARENTHESIS=10223]="MATHEMATICAL_RIGHT_FLATTENED_PARENTHESIS",eo[eo.RIGHT_WHITE_CURLY_BRACKET=10628]="RIGHT_WHITE_CURLY_BRACKET",eo[eo.RIGHT_WHITE_PARENTHESIS=10630]="RIGHT_WHITE_PARENTHESIS",eo[eo.Z_NOTATION_RIGHT_IMAGE_BRACKET=10632]="Z_NOTATION_RIGHT_IMAGE_BRACKET",eo[eo.Z_NOTATION_RIGHT_BINDING_BRACKET=10634]="Z_NOTATION_RIGHT_BINDING_BRACKET",eo[eo.RIGHT_SQUARE_BRACKET_WITH_UNDERBAR=10636]="RIGHT_SQUARE_BRACKET_WITH_UNDERBAR",eo[eo.RIGHT_SQUARE_BRACKET_WITH_TICK_IN_BOTTOM_CORNER=10638]="RIGHT_SQUARE_BRACKET_WITH_TICK_IN_BOTTOM_CORNER",eo[eo.RIGHT_SQUARE_BRACKET_WITH_TICK_IN_TOP_CORNER=10640]="RIGHT_SQUARE_BRACKET_WITH_TICK_IN_TOP_CORNER",eo[eo.RIGHT_ANGLE_BRACKET_WITH_DOT=10642]="RIGHT_ANGLE_BRACKET_WITH_DOT",eo[eo.RIGHT_ARC_GREATER_THAN_BRACKET=10644]="RIGHT_ARC_GREATER_THAN_BRACKET",eo[eo.DOUBLE_RIGHT_ARC_LESS_THAN_BRACKET=10646]="DOUBLE_RIGHT_ARC_LESS_THAN_BRACKET",eo[eo.RIGHT_BLACK_TORTOISE_SHELL_BRACKET=10648]="RIGHT_BLACK_TORTOISE_SHELL_BRACKET",eo[eo.RIGHT_WIGGLY_FENCE=10713]="RIGHT_WIGGLY_FENCE",eo[eo.RIGHT_DOUBLE_WIGGLY_FENCE=10715]="RIGHT_DOUBLE_WIGGLY_FENCE",eo[eo.RIGHT_POINTING_CURVED_ANGLE_BRACKET=10749]="RIGHT_POINTING_CURVED_ANGLE_BRACKET",eo[eo.TOP_RIGHT_HALF_BRACKET=11811]="TOP_RIGHT_HALF_BRACKET",eo[eo.BOTTOM_RIGHT_HALF_BRACKET=11813]="BOTTOM_RIGHT_HALF_BRACKET",eo[eo.RIGHT_SIDEWAYS_U_BRACKET=11815]="RIGHT_SIDEWAYS_U_BRACKET",eo[eo.RIGHT_DOUBLE_PARENTHESIS=11817]="RIGHT_DOUBLE_PARENTHESIS",eo[eo.RIGHT_ANGLE_BRACKET=12297]="RIGHT_ANGLE_BRACKET",eo[eo.RIGHT_DOUBLE_ANGLE_BRACKET=12299]="RIGHT_DOUBLE_ANGLE_BRACKET",eo[eo.RIGHT_CORNER_BRACKET=12301]="RIGHT_CORNER_BRACKET",eo[eo.RIGHT_WHITE_CORNER_BRACKET=12303]="RIGHT_WHITE_CORNER_BRACKET",eo[eo.RIGHT_BLACK_LENTICULAR_BRACKET=12305]="RIGHT_BLACK_LENTICULAR_BRACKET",eo[eo.RIGHT_TORTOISE_SHELL_BRACKET=12309]="RIGHT_TORTOISE_SHELL_BRACKET",eo[eo.RIGHT_WHITE_LENTICULAR_BRACKET=12311]="RIGHT_WHITE_LENTICULAR_BRACKET",eo[eo.RIGHT_WHITE_TORTOISE_SHELL_BRACKET=12313]="RIGHT_WHITE_TORTOISE_SHELL_BRACKET",eo[eo.RIGHT_WHITE_SQUARE_BRACKET=12315]="RIGHT_WHITE_SQUARE_BRACKET",eo[eo.DOUBLE_PRIME_QUOTATION_MARK=12318]="DOUBLE_PRIME_QUOTATION_MARK",eo[eo.LOW_DOUBLE_PRIME_QUOTATION_MARK=12319]="LOW_DOUBLE_PRIME_QUOTATION_MARK",eo[eo.ORNATE_LEFT_PARENTHESIS=64830]="ORNATE_LEFT_PARENTHESIS",eo[eo.PRESENTATION_FORM_FOR_VERTICAL_RIGHT_WHITE_LENTICULAR_BRAKCET=65048]="PRESENTATION_FORM_FOR_VERTICAL_RIGHT_WHITE_LENTICULAR_BRAKCET",eo[eo.PRESENTATION_FORM_FOR_VERTICAL_RIGHT_PARENTHESIS=65078]="PRESENTATION_FORM_FOR_VERTICAL_RIGHT_PARENTHESIS",eo[eo.PRESENTATION_FORM_FOR_VERTICAL_RIGHT_CURLY_BRACKET=65080]="PRESENTATION_FORM_FOR_VERTICAL_RIGHT_CURLY_BRACKET",eo[eo.PRESENTATION_FORM_FOR_VERTICAL_RIGHT_TORTOISE_SHELL_BRACKET=65082]="PRESENTATION_FORM_FOR_VERTICAL_RIGHT_TORTOISE_SHELL_BRACKET",eo[eo.PRESENTATION_FORM_FOR_VERTICAL_RIGHT_BLACK_LENTICULAR_BRACKET=65084]="PRESENTATION_FORM_FOR_VERTICAL_RIGHT_BLACK_LENTICULAR_BRACKET",eo[eo.PRESENTATION_FORM_FOR_VERTICAL_RIGHT_DOUBLE_ANGLE_BRACKET=65086]="PRESENTATION_FORM_FOR_VERTICAL_RIGHT_DOUBLE_ANGLE_BRACKET",eo[eo.PRESENTATION_FORM_FOR_VERTICAL_RIGHT_ANGLE_BRACKET=65088]="PRESENTATION_FORM_FOR_VERTICAL_RIGHT_ANGLE_BRACKET",eo[eo.PRESENTATION_FORM_FOR_VERTICAL_RIGHT_CORNER_BRACKET=65090]="PRESENTATION_FORM_FOR_VERTICAL_RIGHT_CORNER_BRACKET",eo[eo.PRESENTATION_FORM_FOR_VERTICAL_RIGHT_WHITE_CORNER_BRACKET=65092]="PRESENTATION_FORM_FOR_VERTICAL_RIGHT_WHITE_CORNER_BRACKET",eo[eo.PRESENTATION_FORM_FOR_VERTICAL_RIGHT_SQUARE_BRACKET=65096]="PRESENTATION_FORM_FOR_VERTICAL_RIGHT_SQUARE_BRACKET",eo[eo.SMALL_RIGHT_PARENTHESIS=65114]="SMALL_RIGHT_PARENTHESIS",eo[eo.SMALL_RIGHT_CURLY_BRACKET=65116]="SMALL_RIGHT_CURLY_BRACKET",eo[eo.SMALL_RIGHT_TORTOISE_SHELL_BRACKET=65118]="SMALL_RIGHT_TORTOISE_SHELL_BRACKET",eo[eo.FULLWIDTH_RIGHT_PARENTHESIS=65289]="FULLWIDTH_RIGHT_PARENTHESIS",eo[eo.FULLWIDTH_RIGHT_SQUARE_BRACKET=65341]="FULLWIDTH_RIGHT_SQUARE_BRACKET",eo[eo.FULLWIDTH_RIGHT_CURLY_BRACKET=65373]="FULLWIDTH_RIGHT_CURLY_BRACKET",eo[eo.FULLWIDTH_RIGHT_WHITE_PARENTHESIS=65376]="FULLWIDTH_RIGHT_WHITE_PARENTHESIS",eo[eo.HALFWIDTH_RIGHT_CORNER_BRACKET=65379]="HALFWIDTH_RIGHT_CORNER_BRACKET"})(UnicodePeCodePoint||(UnicodePeCodePoint={}));var UnicodePfCodePoint;(function(eo){eo[eo.RIGHT_POINTING_DOUBLE_ANGLE_QUOTATION_MARK=187]="RIGHT_POINTING_DOUBLE_ANGLE_QUOTATION_MARK",eo[eo.RIGHT_SINGLE_QUOTATION_MARK=8217]="RIGHT_SINGLE_QUOTATION_MARK",eo[eo.RIGHT_DOUBLE_QUOTATION_MARK=8221]="RIGHT_DOUBLE_QUOTATION_MARK",eo[eo.SINGLE_RIGHT_POINTING_ANGLE_QUOTATION_MARK=8250]="SINGLE_RIGHT_POINTING_ANGLE_QUOTATION_MARK",eo[eo.RIGHT_SUBSTITUTION_BRACKET=11779]="RIGHT_SUBSTITUTION_BRACKET",eo[eo.RIGHT_DOTTED_SUBSTITUTION_BRACKET=11781]="RIGHT_DOTTED_SUBSTITUTION_BRACKET",eo[eo.RIGHT_TRANSPOSITION_BRACKET=11786]="RIGHT_TRANSPOSITION_BRACKET",eo[eo.RIGHT_RAISED_OMISSION_BRACKET=11789]="RIGHT_RAISED_OMISSION_BRACKET",eo[eo.RIGHT_LOW_PARAPHRASE_BRACKET=11805]="RIGHT_LOW_PARAPHRASE_BRACKET",eo[eo.RIGHT_VERTICAL_BAR_WITH_QUILL=11809]="RIGHT_VERTICAL_BAR_WITH_QUILL"})(UnicodePfCodePoint||(UnicodePfCodePoint={}));var UnicodePiCodePoint;(function(eo){eo[eo.LEFT_POINTING_DOUBLE_ANGLE_QUOTATION_MARK=171]="LEFT_POINTING_DOUBLE_ANGLE_QUOTATION_MARK",eo[eo.LEFT_SINGLE_QUOTATION_MARK=8216]="LEFT_SINGLE_QUOTATION_MARK",eo[eo.SINGLE_HIGH_REVERSED_9_QUOTATION_MARK=8219]="SINGLE_HIGH_REVERSED_9_QUOTATION_MARK",eo[eo.LEFT_DOUBLE_QUOTATION_MARK=8220]="LEFT_DOUBLE_QUOTATION_MARK",eo[eo.DOUBLE_HIGH_REVERSED_9_QUOTATION_MARK=8223]="DOUBLE_HIGH_REVERSED_9_QUOTATION_MARK",eo[eo.SINGLE_LEFT_POINTING_ANGLE_QUOTATION_MARK=8249]="SINGLE_LEFT_POINTING_ANGLE_QUOTATION_MARK",eo[eo.LEFT_SUBSTITUTION_BRACKET=11778]="LEFT_SUBSTITUTION_BRACKET",eo[eo.LEFT_DOTTED_SUBSTITUTION_BRACKET=11780]="LEFT_DOTTED_SUBSTITUTION_BRACKET",eo[eo.LEFT_TRANSPOSITION_BRACKET=11785]="LEFT_TRANSPOSITION_BRACKET",eo[eo.LEFT_RAISED_OMISSION_BRACKET=11788]="LEFT_RAISED_OMISSION_BRACKET",eo[eo.LEFT_LOW_PARAPHRASE_BRACKET=11804]="LEFT_LOW_PARAPHRASE_BRACKET",eo[eo.LEFT_VERTICAL_BAR_WITH_QUILL=11808]="LEFT_VERTICAL_BAR_WITH_QUILL"})(UnicodePiCodePoint||(UnicodePiCodePoint={}));var UnicodePoCodePoint;(function(eo){eo[eo.EXCLAMATION_MARK=33]="EXCLAMATION_MARK",eo[eo.QUOTATION_MARK=34]="QUOTATION_MARK",eo[eo.NUMBER_SIGN=35]="NUMBER_SIGN",eo[eo.PERCENT_SIGN=37]="PERCENT_SIGN",eo[eo.AMPERSAND=38]="AMPERSAND",eo[eo.APOSTROPHE=39]="APOSTROPHE",eo[eo.ASTERISK=42]="ASTERISK",eo[eo.COMMA=44]="COMMA",eo[eo.FULL_STOP=46]="FULL_STOP",eo[eo.SOLIDUS=47]="SOLIDUS",eo[eo.COLON=58]="COLON",eo[eo.SEMICOLON=59]="SEMICOLON",eo[eo.QUESTION_MARK=63]="QUESTION_MARK",eo[eo.COMMERCIAL_AT=64]="COMMERCIAL_AT",eo[eo.REVERSE_SOLIDUS=92]="REVERSE_SOLIDUS",eo[eo.INVERTED_EXCLAMATION_MARK=161]="INVERTED_EXCLAMATION_MARK",eo[eo.SECTION_SIGN=167]="SECTION_SIGN",eo[eo.PILCROW_SIGN=182]="PILCROW_SIGN",eo[eo.MIDDLE_DOT=183]="MIDDLE_DOT",eo[eo.INVERTED_QUESTION_MARK=191]="INVERTED_QUESTION_MARK",eo[eo.GREEK_QUESTION_MARK=894]="GREEK_QUESTION_MARK",eo[eo.GREEK_ANO_TELEIA=903]="GREEK_ANO_TELEIA",eo[eo.ARMENIAN_APOSTROPHE=1370]="ARMENIAN_APOSTROPHE",eo[eo.ARMENIAN_EMPHASIS_MARK=1371]="ARMENIAN_EMPHASIS_MARK",eo[eo.ARMENIAN_EXCLAMATION_MARK=1372]="ARMENIAN_EXCLAMATION_MARK",eo[eo.ARMENIAN_COMMA=1373]="ARMENIAN_COMMA",eo[eo.ARMENIAN_QUESTION_MARK=1374]="ARMENIAN_QUESTION_MARK",eo[eo.ARMENIAN_ABBREVIATION_MARK=1375]="ARMENIAN_ABBREVIATION_MARK",eo[eo.ARMENIAN_FULL_STOP=1417]="ARMENIAN_FULL_STOP",eo[eo.HEBREW_PUNCTUATION_PASEQ=1472]="HEBREW_PUNCTUATION_PASEQ",eo[eo.HEBREW_PUNCTUATION_SOF_PASUQ=1475]="HEBREW_PUNCTUATION_SOF_PASUQ",eo[eo.HEBREW_PUNCTUATION_NUN_HAFUKHA=1478]="HEBREW_PUNCTUATION_NUN_HAFUKHA",eo[eo.HEBREW_PUNCTUATION_GERESH=1523]="HEBREW_PUNCTUATION_GERESH",eo[eo.HEBREW_PUNCTUATION_GERSHAYIM=1524]="HEBREW_PUNCTUATION_GERSHAYIM",eo[eo.ARABIC_INDIC_PER_MILLE_SIGN=1545]="ARABIC_INDIC_PER_MILLE_SIGN",eo[eo.ARABIC_INDIC_PER_TEN_THOUSAND_SIGN=1546]="ARABIC_INDIC_PER_TEN_THOUSAND_SIGN",eo[eo.ARABIC_COMMA=1548]="ARABIC_COMMA",eo[eo.ARABIC_DATE_SEPARATOR=1549]="ARABIC_DATE_SEPARATOR",eo[eo.ARABIC_SEMICOLON=1563]="ARABIC_SEMICOLON",eo[eo.ARABIC_TRIPLE_DOT_PUNCTUATION_MARK=1566]="ARABIC_TRIPLE_DOT_PUNCTUATION_MARK",eo[eo.ARABIC_QUESTION_MARK=1567]="ARABIC_QUESTION_MARK",eo[eo.ARABIC_PERCENT_SIGN=1642]="ARABIC_PERCENT_SIGN",eo[eo.ARABIC_DECIMAL_SEPARATOR=1643]="ARABIC_DECIMAL_SEPARATOR",eo[eo.ARABIC_THOUSANDS_SEPARATOR=1644]="ARABIC_THOUSANDS_SEPARATOR",eo[eo.ARABIC_FIVE_POINTED_STAR=1645]="ARABIC_FIVE_POINTED_STAR",eo[eo.ARABIC_FULL_STOP=1748]="ARABIC_FULL_STOP",eo[eo.SYRIAC_END_OF_PARAGRAPH=1792]="SYRIAC_END_OF_PARAGRAPH",eo[eo.SYRIAC_SUPRALINEAR_FULL_STOP=1793]="SYRIAC_SUPRALINEAR_FULL_STOP",eo[eo.SYRIAC_SUBLINEAR_FULL_STOP=1794]="SYRIAC_SUBLINEAR_FULL_STOP",eo[eo.SYRIAC_SUPRALINEAR_COLON=1795]="SYRIAC_SUPRALINEAR_COLON",eo[eo.SYRIAC_SUBLINEAR_COLON=1796]="SYRIAC_SUBLINEAR_COLON",eo[eo.SYRIAC_HORIZONTAL_COLON=1797]="SYRIAC_HORIZONTAL_COLON",eo[eo.SYRIAC_COLON_SKEWED_LEFT=1798]="SYRIAC_COLON_SKEWED_LEFT",eo[eo.SYRIAC_COLON_SKEWED_RIGHT=1799]="SYRIAC_COLON_SKEWED_RIGHT",eo[eo.SYRIAC_SUPRALINEAR_COLON_SKEWED_LEFT=1800]="SYRIAC_SUPRALINEAR_COLON_SKEWED_LEFT",eo[eo.SYRIAC_SUBLINEAR_COLON_SKEWED_RIGHT=1801]="SYRIAC_SUBLINEAR_COLON_SKEWED_RIGHT",eo[eo.SYRIAC_CONTRACTION=1802]="SYRIAC_CONTRACTION",eo[eo.SYRIAC_HARKLEAN_OBELUS=1803]="SYRIAC_HARKLEAN_OBELUS",eo[eo.SYRIAC_HARKLEAN_METOBELUS=1804]="SYRIAC_HARKLEAN_METOBELUS",eo[eo.SYRIAC_HARKLEAN_ASTERISCUS=1805]="SYRIAC_HARKLEAN_ASTERISCUS",eo[eo.NKO_SYMBOL_GBAKURUNEN=2039]="NKO_SYMBOL_GBAKURUNEN",eo[eo.NKO_COMMA=2040]="NKO_COMMA",eo[eo.NKO_EXCLAMATION_MARK=2041]="NKO_EXCLAMATION_MARK",eo[eo.SAMARITAN_PUNCTUATION_NEQUDAA=2096]="SAMARITAN_PUNCTUATION_NEQUDAA",eo[eo.SAMARITAN_PUNCTUATION_AFSAAQ=2097]="SAMARITAN_PUNCTUATION_AFSAAQ",eo[eo.SAMARITAN_PUNCTUATION_ANGED=2098]="SAMARITAN_PUNCTUATION_ANGED",eo[eo.SAMARITAN_PUNCTUATION_BAU=2099]="SAMARITAN_PUNCTUATION_BAU",eo[eo.SAMARITAN_PUNCTUATION_ATMAAU=2100]="SAMARITAN_PUNCTUATION_ATMAAU",eo[eo.SAMARITAN_PUNCTUATION_SHIYYAALAA=2101]="SAMARITAN_PUNCTUATION_SHIYYAALAA",eo[eo.SAMARITAN_ABBREVIATION_MARK=2102]="SAMARITAN_ABBREVIATION_MARK",eo[eo.SAMARITAN_PUNCTUATION_MELODIC_QITSA=2103]="SAMARITAN_PUNCTUATION_MELODIC_QITSA",eo[eo.SAMARITAN_PUNCTUATION_ZIQAA=2104]="SAMARITAN_PUNCTUATION_ZIQAA",eo[eo.SAMARITAN_PUNCTUATION_QITSA=2105]="SAMARITAN_PUNCTUATION_QITSA",eo[eo.SAMARITAN_PUNCTUATION_ZAEF=2106]="SAMARITAN_PUNCTUATION_ZAEF",eo[eo.SAMARITAN_PUNCTUATION_TURU=2107]="SAMARITAN_PUNCTUATION_TURU",eo[eo.SAMARITAN_PUNCTUATION_ARKAANU=2108]="SAMARITAN_PUNCTUATION_ARKAANU",eo[eo.SAMARITAN_PUNCTUATION_SOF_MASHFAAT=2109]="SAMARITAN_PUNCTUATION_SOF_MASHFAAT",eo[eo.SAMARITAN_PUNCTUATION_ANNAAU=2110]="SAMARITAN_PUNCTUATION_ANNAAU",eo[eo.MANDAIC_PUNCTUATION=2142]="MANDAIC_PUNCTUATION",eo[eo.DEVANAGARI_DANDA=2404]="DEVANAGARI_DANDA",eo[eo.DEVANAGARI_DOUBLE_DANDA=2405]="DEVANAGARI_DOUBLE_DANDA",eo[eo.DEVANAGARI_ABBREVIATION_SIGN=2416]="DEVANAGARI_ABBREVIATION_SIGN",eo[eo.BENGALI_ABBREVIATION_SIGN=2557]="BENGALI_ABBREVIATION_SIGN",eo[eo.GURMUKHI_ABBREVIATION_SIGN=2678]="GURMUKHI_ABBREVIATION_SIGN",eo[eo.GUJARATI_ABBREVIATION_SIGN=2800]="GUJARATI_ABBREVIATION_SIGN",eo[eo.TELUGU_SIGN_SIDDHAM=3191]="TELUGU_SIGN_SIDDHAM",eo[eo.KANNADA_SIGN_SIDDHAM=3204]="KANNADA_SIGN_SIDDHAM",eo[eo.SINHALA_PUNCTUATION_KUNDDALIYA=3572]="SINHALA_PUNCTUATION_KUNDDALIYA",eo[eo.THAI_CHARACTER_FONGMAN=3663]="THAI_CHARACTER_FONGMAN",eo[eo.THAI_CHARACTER_ANGKHANKHU=3674]="THAI_CHARACTER_ANGKHANKHU",eo[eo.THAI_CHARACTER_KHOMUT=3675]="THAI_CHARACTER_KHOMUT",eo[eo.TIBETAN_MARK_INITIAL_YIG_MGO_MDUN_MA=3844]="TIBETAN_MARK_INITIAL_YIG_MGO_MDUN_MA",eo[eo.TIBETAN_MARK_CLOSING_YIG_MGO_SGAB_MA=3845]="TIBETAN_MARK_CLOSING_YIG_MGO_SGAB_MA",eo[eo.TIBETAN_MARK_CARET_YIG_MGO_PHUR_SHAD_MA=3846]="TIBETAN_MARK_CARET_YIG_MGO_PHUR_SHAD_MA",eo[eo.TIBETAN_MARK_YIG_MGO_TSHEG_SHAD_MA=3847]="TIBETAN_MARK_YIG_MGO_TSHEG_SHAD_MA",eo[eo.TIBETAN_MARK_SBRUL_SHAD=3848]="TIBETAN_MARK_SBRUL_SHAD",eo[eo.TIBETAN_MARK_BSKUR_YIG_MGO=3849]="TIBETAN_MARK_BSKUR_YIG_MGO",eo[eo.TIBETAN_MARK_BKA__SHOG_YIG_MGO=3850]="TIBETAN_MARK_BKA__SHOG_YIG_MGO",eo[eo.TIBETAN_MARK_INTERSYLLABIC_TSHEG=3851]="TIBETAN_MARK_INTERSYLLABIC_TSHEG",eo[eo.TIBETAN_MARK_DELIMITER_TSHEG_BSTAR=3852]="TIBETAN_MARK_DELIMITER_TSHEG_BSTAR",eo[eo.TIBETAN_MARK_SHAD=3853]="TIBETAN_MARK_SHAD",eo[eo.TIBETAN_MARK_NYIS_SHAD=3854]="TIBETAN_MARK_NYIS_SHAD",eo[eo.TIBETAN_MARK_TSHEG_SHAD=3855]="TIBETAN_MARK_TSHEG_SHAD",eo[eo.TIBETAN_MARK_NYIS_TSHEG_SHAD=3856]="TIBETAN_MARK_NYIS_TSHEG_SHAD",eo[eo.TIBETAN_MARK_RIN_CHEN_SPUNGS_SHAD=3857]="TIBETAN_MARK_RIN_CHEN_SPUNGS_SHAD",eo[eo.TIBETAN_MARK_RGYA_GRAM_SHAD=3858]="TIBETAN_MARK_RGYA_GRAM_SHAD",eo[eo.TIBETAN_MARK_GTER_TSHEG=3860]="TIBETAN_MARK_GTER_TSHEG",eo[eo.TIBETAN_MARK_PALUTA=3973]="TIBETAN_MARK_PALUTA",eo[eo.TIBETAN_MARK_BSKA__SHOG_GI_MGO_RGYAN=4048]="TIBETAN_MARK_BSKA__SHOG_GI_MGO_RGYAN",eo[eo.TIBETAN_MARK_MNYAM_YIG_GI_MGO_RGYAN=4049]="TIBETAN_MARK_MNYAM_YIG_GI_MGO_RGYAN",eo[eo.TIBETAN_MARK_NYIS_TSHEG=4050]="TIBETAN_MARK_NYIS_TSHEG",eo[eo.TIBETAN_MARK_INITIAL_BRDA_RNYING_YIG_MGO_MDUN_MA=4051]="TIBETAN_MARK_INITIAL_BRDA_RNYING_YIG_MGO_MDUN_MA",eo[eo.TIBETAN_MARK_CLOSING_BRDA_RNYING_YIG_MGO_SGAB_MA=4052]="TIBETAN_MARK_CLOSING_BRDA_RNYING_YIG_MGO_SGAB_MA",eo[eo.TIBETAN_MARK_LEADING_MCHAN_RTAGS=4057]="TIBETAN_MARK_LEADING_MCHAN_RTAGS",eo[eo.TIBETAN_MARK_TRAILING_MCHAN_RTAGS=4058]="TIBETAN_MARK_TRAILING_MCHAN_RTAGS",eo[eo.MYANMAR_SIGN_LITTLE_SECTION=4170]="MYANMAR_SIGN_LITTLE_SECTION",eo[eo.MYANMAR_SIGN_SECTION=4171]="MYANMAR_SIGN_SECTION",eo[eo.MYANMAR_SYMBOL_LOCATIVE=4172]="MYANMAR_SYMBOL_LOCATIVE",eo[eo.MYANMAR_SYMBOL_COMPLETED=4173]="MYANMAR_SYMBOL_COMPLETED",eo[eo.MYANMAR_SYMBOL_AFOREMENTIONED=4174]="MYANMAR_SYMBOL_AFOREMENTIONED",eo[eo.MYANMAR_SYMBOL_GENITIVE=4175]="MYANMAR_SYMBOL_GENITIVE",eo[eo.GEORGIAN_PARAGRAPH_SEPARATOR=4347]="GEORGIAN_PARAGRAPH_SEPARATOR",eo[eo.ETHIOPIC_SECTION_MARK=4960]="ETHIOPIC_SECTION_MARK",eo[eo.ETHIOPIC_WORDSPACE=4961]="ETHIOPIC_WORDSPACE",eo[eo.ETHIOPIC_FULL_STOP=4962]="ETHIOPIC_FULL_STOP",eo[eo.ETHIOPIC_COMMA=4963]="ETHIOPIC_COMMA",eo[eo.ETHIOPIC_SEMICOLON=4964]="ETHIOPIC_SEMICOLON",eo[eo.ETHIOPIC_COLON=4965]="ETHIOPIC_COLON",eo[eo.ETHIOPIC_PREFACE_COLON=4966]="ETHIOPIC_PREFACE_COLON",eo[eo.ETHIOPIC_QUESTION_MARK=4967]="ETHIOPIC_QUESTION_MARK",eo[eo.ETHIOPIC_PARAGRAPH_SEPARATOR=4968]="ETHIOPIC_PARAGRAPH_SEPARATOR",eo[eo.CANADIAN_SYLLABICS_FULL_STOP=5742]="CANADIAN_SYLLABICS_FULL_STOP",eo[eo.RUNIC_SINGLE_PUNCTUATION=5867]="RUNIC_SINGLE_PUNCTUATION",eo[eo.RUNIC_MULTIPLE_PUNCTUATION=5868]="RUNIC_MULTIPLE_PUNCTUATION",eo[eo.RUNIC_CROSS_PUNCTUATION=5869]="RUNIC_CROSS_PUNCTUATION",eo[eo.PHILIPPINE_SINGLE_PUNCTUATION=5941]="PHILIPPINE_SINGLE_PUNCTUATION",eo[eo.PHILIPPINE_DOUBLE_PUNCTUATION=5942]="PHILIPPINE_DOUBLE_PUNCTUATION",eo[eo.KHMER_SIGN_KHAN=6100]="KHMER_SIGN_KHAN",eo[eo.KHMER_SIGN_BARIYOOSAN=6101]="KHMER_SIGN_BARIYOOSAN",eo[eo.KHMER_SIGN_CAMNUC_PII_KUUH=6102]="KHMER_SIGN_CAMNUC_PII_KUUH",eo[eo.KHMER_SIGN_BEYYAL=6104]="KHMER_SIGN_BEYYAL",eo[eo.KHMER_SIGN_PHNAEK_MUAN=6105]="KHMER_SIGN_PHNAEK_MUAN",eo[eo.KHMER_SIGN_KOOMUUT=6106]="KHMER_SIGN_KOOMUUT",eo[eo.MONGOLIAN_BIRGA=6144]="MONGOLIAN_BIRGA",eo[eo.MONGOLIAN_ELLIPSIS=6145]="MONGOLIAN_ELLIPSIS",eo[eo.MONGOLIAN_COMMA=6146]="MONGOLIAN_COMMA",eo[eo.MONGOLIAN_FULL_STOP=6147]="MONGOLIAN_FULL_STOP",eo[eo.MONGOLIAN_COLON=6148]="MONGOLIAN_COLON",eo[eo.MONGOLIAN_FOUR_DOTS=6149]="MONGOLIAN_FOUR_DOTS",eo[eo.MONGOLIAN_SIBE_SYLLABLE_BOUNDARY_MARKER=6151]="MONGOLIAN_SIBE_SYLLABLE_BOUNDARY_MARKER",eo[eo.MONGOLIAN_MANCHU_COMMA=6152]="MONGOLIAN_MANCHU_COMMA",eo[eo.MONGOLIAN_MANCHU_FULL_STOP=6153]="MONGOLIAN_MANCHU_FULL_STOP",eo[eo.MONGOLIAN_NIRUGU=6154]="MONGOLIAN_NIRUGU",eo[eo.LIMBU_EXCLAMATION_MARK=6468]="LIMBU_EXCLAMATION_MARK",eo[eo.LIMBU_QUESTION_MARK=6469]="LIMBU_QUESTION_MARK",eo[eo.BUGINESE_PALLAWA=6686]="BUGINESE_PALLAWA",eo[eo.BUGINESE_END_OF_SECTION=6687]="BUGINESE_END_OF_SECTION",eo[eo.TAI_THAM_SIGN_WIANG=6816]="TAI_THAM_SIGN_WIANG",eo[eo.TAI_THAM_SIGN_WIANGWAAK=6817]="TAI_THAM_SIGN_WIANGWAAK",eo[eo.TAI_THAM_SIGN_SAWAN=6818]="TAI_THAM_SIGN_SAWAN",eo[eo.TAI_THAM_SIGN_KEOW=6819]="TAI_THAM_SIGN_KEOW",eo[eo.TAI_THAM_SIGN_HOY=6820]="TAI_THAM_SIGN_HOY",eo[eo.TAI_THAM_SIGN_DOKMAI=6821]="TAI_THAM_SIGN_DOKMAI",eo[eo.TAI_THAM_SIGN_REVERSED_ROTATED_RANA=6822]="TAI_THAM_SIGN_REVERSED_ROTATED_RANA",eo[eo.TAI_THAM_SIGN_KAAN=6824]="TAI_THAM_SIGN_KAAN",eo[eo.TAI_THAM_SIGN_KAANKUU=6825]="TAI_THAM_SIGN_KAANKUU",eo[eo.TAI_THAM_SIGN_SATKAAN=6826]="TAI_THAM_SIGN_SATKAAN",eo[eo.TAI_THAM_SIGN_SATKAANKUU=6827]="TAI_THAM_SIGN_SATKAANKUU",eo[eo.TAI_THAM_SIGN_HANG=6828]="TAI_THAM_SIGN_HANG",eo[eo.TAI_THAM_SIGN_CAANG=6829]="TAI_THAM_SIGN_CAANG",eo[eo.BALINESE_PANTI=7002]="BALINESE_PANTI",eo[eo.BALINESE_PAMADA=7003]="BALINESE_PAMADA",eo[eo.BALINESE_WINDU=7004]="BALINESE_WINDU",eo[eo.BALINESE_CARIK_PAMUNGKAH=7005]="BALINESE_CARIK_PAMUNGKAH",eo[eo.BALINESE_CARIK_SIKI=7006]="BALINESE_CARIK_SIKI",eo[eo.BALINESE_CARIK_PAREREN=7007]="BALINESE_CARIK_PAREREN",eo[eo.BALINESE_PAMENENG=7008]="BALINESE_PAMENENG",eo[eo.BATAK_SYMBOL_BINDU_NA_METEK=7164]="BATAK_SYMBOL_BINDU_NA_METEK",eo[eo.BATAK_SYMBOL_BINDU_PINARBORAS=7165]="BATAK_SYMBOL_BINDU_PINARBORAS",eo[eo.BATAK_SYMBOL_BINDU_JUDUL=7166]="BATAK_SYMBOL_BINDU_JUDUL",eo[eo.BATAK_SYMBOL_BINDU_PANGOLAT=7167]="BATAK_SYMBOL_BINDU_PANGOLAT",eo[eo.LEPCHA_PUNCTUATION_TA_ROL=7227]="LEPCHA_PUNCTUATION_TA_ROL",eo[eo.LEPCHA_PUNCTUATION_NYET_THYOOM_TA_ROL=7228]="LEPCHA_PUNCTUATION_NYET_THYOOM_TA_ROL",eo[eo.LEPCHA_PUNCTUATION_CER_WA=7229]="LEPCHA_PUNCTUATION_CER_WA",eo[eo.LEPCHA_PUNCTUATION_TSHOOK_CER_WA=7230]="LEPCHA_PUNCTUATION_TSHOOK_CER_WA",eo[eo.LEPCHA_PUNCTUATION_TSHOOK=7231]="LEPCHA_PUNCTUATION_TSHOOK",eo[eo.OL_CHIKI_PUNCTUATION_MUCAAD=7294]="OL_CHIKI_PUNCTUATION_MUCAAD",eo[eo.OL_CHIKI_PUNCTUATION_DOUBLE_MUCAAD=7295]="OL_CHIKI_PUNCTUATION_DOUBLE_MUCAAD",eo[eo.SUNDANESE_PUNCTUATION_BINDU_SURYA=7360]="SUNDANESE_PUNCTUATION_BINDU_SURYA",eo[eo.SUNDANESE_PUNCTUATION_BINDU_PANGLONG=7361]="SUNDANESE_PUNCTUATION_BINDU_PANGLONG",eo[eo.SUNDANESE_PUNCTUATION_BINDU_PURNAMA=7362]="SUNDANESE_PUNCTUATION_BINDU_PURNAMA",eo[eo.SUNDANESE_PUNCTUATION_BINDU_CAKRA=7363]="SUNDANESE_PUNCTUATION_BINDU_CAKRA",eo[eo.SUNDANESE_PUNCTUATION_BINDU_LEU_SATANGA=7364]="SUNDANESE_PUNCTUATION_BINDU_LEU_SATANGA",eo[eo.SUNDANESE_PUNCTUATION_BINDU_KA_SATANGA=7365]="SUNDANESE_PUNCTUATION_BINDU_KA_SATANGA",eo[eo.SUNDANESE_PUNCTUATION_BINDU_DA_SATANGA=7366]="SUNDANESE_PUNCTUATION_BINDU_DA_SATANGA",eo[eo.SUNDANESE_PUNCTUATION_BINDU_BA_SATANGA=7367]="SUNDANESE_PUNCTUATION_BINDU_BA_SATANGA",eo[eo.VEDIC_SIGN_NIHSHVASA=7379]="VEDIC_SIGN_NIHSHVASA",eo[eo.DOUBLE_VERTICAL_LINE=8214]="DOUBLE_VERTICAL_LINE",eo[eo.DOUBLE_LOW_LINE=8215]="DOUBLE_LOW_LINE",eo[eo.DAGGER=8224]="DAGGER",eo[eo.DOUBLE_DAGGER=8225]="DOUBLE_DAGGER",eo[eo.BULLET=8226]="BULLET",eo[eo.TRIANGULAR_BULLET=8227]="TRIANGULAR_BULLET",eo[eo.ONE_DOT_LEADER=8228]="ONE_DOT_LEADER",eo[eo.TWO_DOT_LEADER=8229]="TWO_DOT_LEADER",eo[eo.HORIZONTAL_ELLIPSIS=8230]="HORIZONTAL_ELLIPSIS",eo[eo.HYPHENATION_POINT=8231]="HYPHENATION_POINT",eo[eo.PER_MILLE_SIGN=8240]="PER_MILLE_SIGN",eo[eo.PER_TEN_THOUSAND_SIGN=8241]="PER_TEN_THOUSAND_SIGN",eo[eo.PRIME=8242]="PRIME",eo[eo.DOUBLE_PRIME=8243]="DOUBLE_PRIME",eo[eo.TRIPLE_PRIME=8244]="TRIPLE_PRIME",eo[eo.REVERSED_PRIME=8245]="REVERSED_PRIME",eo[eo.REVERSED_DOUBLE_PRIME=8246]="REVERSED_DOUBLE_PRIME",eo[eo.REVERSED_TRIPLE_PRIME=8247]="REVERSED_TRIPLE_PRIME",eo[eo.CARET=8248]="CARET",eo[eo.REFERENCE_MARK=8251]="REFERENCE_MARK",eo[eo.DOUBLE_EXCLAMATION_MARK=8252]="DOUBLE_EXCLAMATION_MARK",eo[eo.INTERROBANG=8253]="INTERROBANG",eo[eo.OVERLINE=8254]="OVERLINE",eo[eo.CARET_INSERTION_POINT=8257]="CARET_INSERTION_POINT",eo[eo.ASTERISM=8258]="ASTERISM",eo[eo.HYPHEN_BULLET=8259]="HYPHEN_BULLET",eo[eo.DOUBLE_QUESTION_MARK=8263]="DOUBLE_QUESTION_MARK",eo[eo.QUESTION_EXCLAMATION_MARK=8264]="QUESTION_EXCLAMATION_MARK",eo[eo.EXCLAMATION_QUESTION_MARK=8265]="EXCLAMATION_QUESTION_MARK",eo[eo.TIRONIAN_SIGN_ET=8266]="TIRONIAN_SIGN_ET",eo[eo.REVERSED_PILCROW_SIGN=8267]="REVERSED_PILCROW_SIGN",eo[eo.BLACK_LEFTWARDS_BULLET=8268]="BLACK_LEFTWARDS_BULLET",eo[eo.BLACK_RIGHTWARDS_BULLET=8269]="BLACK_RIGHTWARDS_BULLET",eo[eo.LOW_ASTERISK=8270]="LOW_ASTERISK",eo[eo.REVERSED_SEMICOLON=8271]="REVERSED_SEMICOLON",eo[eo.CLOSE_UP=8272]="CLOSE_UP",eo[eo.TWO_ASTERISKS_ALIGNED_VERTICALLY=8273]="TWO_ASTERISKS_ALIGNED_VERTICALLY",eo[eo.SWUNG_DASH=8275]="SWUNG_DASH",eo[eo.FLOWER_PUNCTUATION_MARK=8277]="FLOWER_PUNCTUATION_MARK",eo[eo.THREE_DOT_PUNCTUATION=8278]="THREE_DOT_PUNCTUATION",eo[eo.QUADRUPLE_PRIME=8279]="QUADRUPLE_PRIME",eo[eo.FOUR_DOT_PUNCTUATION=8280]="FOUR_DOT_PUNCTUATION",eo[eo.FIVE_DOT_PUNCTUATION=8281]="FIVE_DOT_PUNCTUATION",eo[eo.TWO_DOT_PUNCTUATION=8282]="TWO_DOT_PUNCTUATION",eo[eo.FOUR_DOT_MARK=8283]="FOUR_DOT_MARK",eo[eo.DOTTED_CROSS=8284]="DOTTED_CROSS",eo[eo.TRICOLON=8285]="TRICOLON",eo[eo.VERTICAL_FOUR_DOTS=8286]="VERTICAL_FOUR_DOTS",eo[eo.COPTIC_OLD_NUBIAN_FULL_STOP=11513]="COPTIC_OLD_NUBIAN_FULL_STOP",eo[eo.COPTIC_OLD_NUBIAN_DIRECT_QUESTION_MARK=11514]="COPTIC_OLD_NUBIAN_DIRECT_QUESTION_MARK",eo[eo.COPTIC_OLD_NUBIAN_INDIRECT_QUESTION_MARK=11515]="COPTIC_OLD_NUBIAN_INDIRECT_QUESTION_MARK",eo[eo.COPTIC_OLD_NUBIAN_VERSE_DIVIDER=11516]="COPTIC_OLD_NUBIAN_VERSE_DIVIDER",eo[eo.COPTIC_FULL_STOP=11518]="COPTIC_FULL_STOP",eo[eo.COPTIC_MORPHOLOGICAL_DIVIDER=11519]="COPTIC_MORPHOLOGICAL_DIVIDER",eo[eo.TIFINAGH_SEPARATOR_MARK=11632]="TIFINAGH_SEPARATOR_MARK",eo[eo.RIGHT_ANGLE_SUBSTITUTION_MARKER=11776]="RIGHT_ANGLE_SUBSTITUTION_MARKER",eo[eo.RIGHT_ANGLE_DOTTED_SUBSTITUTION_MARKER=11777]="RIGHT_ANGLE_DOTTED_SUBSTITUTION_MARKER",eo[eo.RAISED_INTERPOLATION_MARKER=11782]="RAISED_INTERPOLATION_MARKER",eo[eo.RAISED_DOTTED_INTERPOLATION_MARKER=11783]="RAISED_DOTTED_INTERPOLATION_MARKER",eo[eo.DOTTED_TRANSPOSITION_MARKER=11784]="DOTTED_TRANSPOSITION_MARKER",eo[eo.RAISED_SQUARE=11787]="RAISED_SQUARE",eo[eo.EDITORIAL_CORONIS=11790]="EDITORIAL_CORONIS",eo[eo.PARAGRAPHOS=11791]="PARAGRAPHOS",eo[eo.FORKED_PARAGRAPHOS=11792]="FORKED_PARAGRAPHOS",eo[eo.REVERSED_FORKED_PARAGRAPHOS=11793]="REVERSED_FORKED_PARAGRAPHOS",eo[eo.HYPODIASTOLE=11794]="HYPODIASTOLE",eo[eo.DOTTED_OBELOS=11795]="DOTTED_OBELOS",eo[eo.DOWNWARDS_ANCORA=11796]="DOWNWARDS_ANCORA",eo[eo.UPWARDS_ANCORA=11797]="UPWARDS_ANCORA",eo[eo.DOTTED_RIGHT_POINTING_ANGLE=11798]="DOTTED_RIGHT_POINTING_ANGLE",eo[eo.INVERTED_INTERROBANG=11800]="INVERTED_INTERROBANG",eo[eo.PALM_BRANCH=11801]="PALM_BRANCH",eo[eo.TILDE_WITH_RING_ABOVE=11803]="TILDE_WITH_RING_ABOVE",eo[eo.TILDE_WITH_DOT_ABOVE=11806]="TILDE_WITH_DOT_ABOVE",eo[eo.TILDE_WITH_DOT_BELOW=11807]="TILDE_WITH_DOT_BELOW",eo[eo.TWO_DOTS_OVER_ONE_DOT_PUNCTUATION=11818]="TWO_DOTS_OVER_ONE_DOT_PUNCTUATION",eo[eo.ONE_DOT_OVER_TWO_DOTS_PUNCTUATION=11819]="ONE_DOT_OVER_TWO_DOTS_PUNCTUATION",eo[eo.SQUARED_FOUR_DOT_PUNCTUATION=11820]="SQUARED_FOUR_DOT_PUNCTUATION",eo[eo.FIVE_DOT_MARK=11821]="FIVE_DOT_MARK",eo[eo.REVERSED_QUESTION_MARK=11822]="REVERSED_QUESTION_MARK",eo[eo.RING_POINT=11824]="RING_POINT",eo[eo.WORD_SEPARATOR_MIDDLE_DOT=11825]="WORD_SEPARATOR_MIDDLE_DOT",eo[eo.TURNED_COMMA=11826]="TURNED_COMMA",eo[eo.RAISED_DOT=11827]="RAISED_DOT",eo[eo.RAISED_COMMA=11828]="RAISED_COMMA",eo[eo.TURNED_SEMICOLON=11829]="TURNED_SEMICOLON",eo[eo.DAGGER_WITH_LEFT_GUARD=11830]="DAGGER_WITH_LEFT_GUARD",eo[eo.DAGGER_WITH_RIGHT_GUARD=11831]="DAGGER_WITH_RIGHT_GUARD",eo[eo.TURNED_DAGGER=11832]="TURNED_DAGGER",eo[eo.TOP_HALF_SECTION_SIGN=11833]="TOP_HALF_SECTION_SIGN",eo[eo.STENOGRAPHIC_FULL_STOP=11836]="STENOGRAPHIC_FULL_STOP",eo[eo.VERTICAL_SIX_DOTS=11837]="VERTICAL_SIX_DOTS",eo[eo.WIGGLY_VERTICAL_LINE=11838]="WIGGLY_VERTICAL_LINE",eo[eo.CAPITULUM=11839]="CAPITULUM",eo[eo.REVERSED_COMMA=11841]="REVERSED_COMMA",eo[eo.DASH_WITH_LEFT_UPTURN=11843]="DASH_WITH_LEFT_UPTURN",eo[eo.DOUBLE_SUSPENSION_MARK=11844]="DOUBLE_SUSPENSION_MARK",eo[eo.INVERTED_LOW_KAVYKA=11845]="INVERTED_LOW_KAVYKA",eo[eo.INVERTED_LOW_KAVYKA_WITH_KAVYKA_ABOVE=11846]="INVERTED_LOW_KAVYKA_WITH_KAVYKA_ABOVE",eo[eo.LOW_KAVYKA=11847]="LOW_KAVYKA",eo[eo.LOW_KAVYKA_WITH_DOT=11848]="LOW_KAVYKA_WITH_DOT",eo[eo.DOUBLE_STACKED_COMMA=11849]="DOUBLE_STACKED_COMMA",eo[eo.DOTTED_SOLIDUS=11850]="DOTTED_SOLIDUS",eo[eo.TRIPLE_DAGGER=11851]="TRIPLE_DAGGER",eo[eo.MEDIEVAL_COMMA=11852]="MEDIEVAL_COMMA",eo[eo.PARAGRAPHUS_MARK=11853]="PARAGRAPHUS_MARK",eo[eo.PUNCTUS_ELEVATUS_MARK=11854]="PUNCTUS_ELEVATUS_MARK",eo[eo.CORNISH_VERSE_DIVIDER=11855]="CORNISH_VERSE_DIVIDER",eo[eo.TIRONIAN_SIGN_CAPITAL_ET=11858]="TIRONIAN_SIGN_CAPITAL_ET",eo[eo.IDEOGRAPHIC_COMMA=12289]="IDEOGRAPHIC_COMMA",eo[eo.IDEOGRAPHIC_FULL_STOP=12290]="IDEOGRAPHIC_FULL_STOP",eo[eo.DITTO_MARK=12291]="DITTO_MARK",eo[eo.PART_ALTERNATION_MARK=12349]="PART_ALTERNATION_MARK",eo[eo.KATAKANA_MIDDLE_DOT=12539]="KATAKANA_MIDDLE_DOT",eo[eo.LISU_PUNCTUATION_COMMA=42238]="LISU_PUNCTUATION_COMMA",eo[eo.LISU_PUNCTUATION_FULL_STOP=42239]="LISU_PUNCTUATION_FULL_STOP",eo[eo.VAI_COMMA=42509]="VAI_COMMA",eo[eo.VAI_FULL_STOP=42510]="VAI_FULL_STOP",eo[eo.VAI_QUESTION_MARK=42511]="VAI_QUESTION_MARK",eo[eo.SLAVONIC_ASTERISK=42611]="SLAVONIC_ASTERISK",eo[eo.CYRILLIC_KAVYKA=42622]="CYRILLIC_KAVYKA",eo[eo.BAMUM_NJAEMLI=42738]="BAMUM_NJAEMLI",eo[eo.BAMUM_FULL_STOP=42739]="BAMUM_FULL_STOP",eo[eo.BAMUM_COLON=42740]="BAMUM_COLON",eo[eo.BAMUM_COMMA=42741]="BAMUM_COMMA",eo[eo.BAMUM_SEMICOLON=42742]="BAMUM_SEMICOLON",eo[eo.BAMUM_QUESTION_MARK=42743]="BAMUM_QUESTION_MARK",eo[eo.PHAGS_PA_SINGLE_HEAD_MARK=43124]="PHAGS_PA_SINGLE_HEAD_MARK",eo[eo.PHAGS_PA_DOUBLE_HEAD_MARK=43125]="PHAGS_PA_DOUBLE_HEAD_MARK",eo[eo.PHAGS_PA_MARK_SHAD=43126]="PHAGS_PA_MARK_SHAD",eo[eo.PHAGS_PA_MARK_DOUBLE_SHAD=43127]="PHAGS_PA_MARK_DOUBLE_SHAD",eo[eo.SAURASHTRA_DANDA=43214]="SAURASHTRA_DANDA",eo[eo.SAURASHTRA_DOUBLE_DANDA=43215]="SAURASHTRA_DOUBLE_DANDA",eo[eo.DEVANAGARI_SIGN_PUSHPIKA=43256]="DEVANAGARI_SIGN_PUSHPIKA",eo[eo.DEVANAGARI_GAP_FILLER=43257]="DEVANAGARI_GAP_FILLER",eo[eo.DEVANAGARI_CARET=43258]="DEVANAGARI_CARET",eo[eo.DEVANAGARI_SIGN_SIDDHAM=43260]="DEVANAGARI_SIGN_SIDDHAM",eo[eo.KAYAH_LI_SIGN_CWI=43310]="KAYAH_LI_SIGN_CWI",eo[eo.KAYAH_LI_SIGN_SHYA=43311]="KAYAH_LI_SIGN_SHYA",eo[eo.REJANG_SECTION_MARK=43359]="REJANG_SECTION_MARK",eo[eo.JAVANESE_LEFT_RERENGGAN=43457]="JAVANESE_LEFT_RERENGGAN",eo[eo.JAVANESE_RIGHT_RERENGGAN=43458]="JAVANESE_RIGHT_RERENGGAN",eo[eo.JAVANESE_PADA_ANDAP=43459]="JAVANESE_PADA_ANDAP",eo[eo.JAVANESE_PADA_MADYA=43460]="JAVANESE_PADA_MADYA",eo[eo.JAVANESE_PADA_LUHUR=43461]="JAVANESE_PADA_LUHUR",eo[eo.JAVANESE_PADA_WINDU=43462]="JAVANESE_PADA_WINDU",eo[eo.JAVANESE_PADA_PANGKAT=43463]="JAVANESE_PADA_PANGKAT",eo[eo.JAVANESE_PADA_LINGSA=43464]="JAVANESE_PADA_LINGSA",eo[eo.JAVANESE_PADA_LUNGSI=43465]="JAVANESE_PADA_LUNGSI",eo[eo.JAVANESE_PADA_ADEG=43466]="JAVANESE_PADA_ADEG",eo[eo.JAVANESE_PADA_ADEG_ADEG=43467]="JAVANESE_PADA_ADEG_ADEG",eo[eo.JAVANESE_PADA_PISELEH=43468]="JAVANESE_PADA_PISELEH",eo[eo.JAVANESE_TURNED_PADA_PISELEH=43469]="JAVANESE_TURNED_PADA_PISELEH",eo[eo.JAVANESE_PADA_TIRTA_TUMETES=43486]="JAVANESE_PADA_TIRTA_TUMETES",eo[eo.JAVANESE_PADA_ISEN_ISEN=43487]="JAVANESE_PADA_ISEN_ISEN",eo[eo.CHAM_PUNCTUATION_SPIRAL=43612]="CHAM_PUNCTUATION_SPIRAL",eo[eo.CHAM_PUNCTUATION_DANDA=43613]="CHAM_PUNCTUATION_DANDA",eo[eo.CHAM_PUNCTUATION_DOUBLE_DANDA=43614]="CHAM_PUNCTUATION_DOUBLE_DANDA",eo[eo.CHAM_PUNCTUATION_TRIPLE_DANDA=43615]="CHAM_PUNCTUATION_TRIPLE_DANDA",eo[eo.TAI_VIET_SYMBOL_HO_HOI=43742]="TAI_VIET_SYMBOL_HO_HOI",eo[eo.TAI_VIET_SYMBOL_KOI_KOI=43743]="TAI_VIET_SYMBOL_KOI_KOI",eo[eo.MEETEI_MAYEK_CHEIKHAN=43760]="MEETEI_MAYEK_CHEIKHAN",eo[eo.MEETEI_MAYEK_AHANG_KHUDAM=43761]="MEETEI_MAYEK_AHANG_KHUDAM",eo[eo.MEETEI_MAYEK_CHEIKHEI=44011]="MEETEI_MAYEK_CHEIKHEI",eo[eo.PRESENTATION_FORM_FOR_VERTICAL_COMMA=65040]="PRESENTATION_FORM_FOR_VERTICAL_COMMA",eo[eo.PRESENTATION_FORM_FOR_VERTICAL_IDEOGRAPHIC_COMMA=65041]="PRESENTATION_FORM_FOR_VERTICAL_IDEOGRAPHIC_COMMA",eo[eo.PRESENTATION_FORM_FOR_VERTICAL_IDEOGRAPHIC_FULL_STOP=65042]="PRESENTATION_FORM_FOR_VERTICAL_IDEOGRAPHIC_FULL_STOP",eo[eo.PRESENTATION_FORM_FOR_VERTICAL_COLON=65043]="PRESENTATION_FORM_FOR_VERTICAL_COLON",eo[eo.PRESENTATION_FORM_FOR_VERTICAL_SEMICOLON=65044]="PRESENTATION_FORM_FOR_VERTICAL_SEMICOLON",eo[eo.PRESENTATION_FORM_FOR_VERTICAL_EXCLAMATION_MARK=65045]="PRESENTATION_FORM_FOR_VERTICAL_EXCLAMATION_MARK",eo[eo.PRESENTATION_FORM_FOR_VERTICAL_QUESTION_MARK=65046]="PRESENTATION_FORM_FOR_VERTICAL_QUESTION_MARK",eo[eo.PRESENTATION_FORM_FOR_VERTICAL_HORIZONTAL_ELLIPSIS=65049]="PRESENTATION_FORM_FOR_VERTICAL_HORIZONTAL_ELLIPSIS",eo[eo.PRESENTATION_FORM_FOR_VERTICAL_TWO_DOT_LEADER=65072]="PRESENTATION_FORM_FOR_VERTICAL_TWO_DOT_LEADER",eo[eo.SESAME_DOT=65093]="SESAME_DOT",eo[eo.WHITE_SESAME_DOT=65094]="WHITE_SESAME_DOT",eo[eo.DASHED_OVERLINE=65097]="DASHED_OVERLINE",eo[eo.CENTRELINE_OVERLINE=65098]="CENTRELINE_OVERLINE",eo[eo.WAVY_OVERLINE=65099]="WAVY_OVERLINE",eo[eo.DOUBLE_WAVY_OVERLINE=65100]="DOUBLE_WAVY_OVERLINE",eo[eo.SMALL_COMMA=65104]="SMALL_COMMA",eo[eo.SMALL_IDEOGRAPHIC_COMMA=65105]="SMALL_IDEOGRAPHIC_COMMA",eo[eo.SMALL_FULL_STOP=65106]="SMALL_FULL_STOP",eo[eo.SMALL_SEMICOLON=65108]="SMALL_SEMICOLON",eo[eo.SMALL_COLON=65109]="SMALL_COLON",eo[eo.SMALL_QUESTION_MARK=65110]="SMALL_QUESTION_MARK",eo[eo.SMALL_EXCLAMATION_MARK=65111]="SMALL_EXCLAMATION_MARK",eo[eo.SMALL_NUMBER_SIGN=65119]="SMALL_NUMBER_SIGN",eo[eo.SMALL_AMPERSAND=65120]="SMALL_AMPERSAND",eo[eo.SMALL_ASTERISK=65121]="SMALL_ASTERISK",eo[eo.SMALL_REVERSE_SOLIDUS=65128]="SMALL_REVERSE_SOLIDUS",eo[eo.SMALL_PERCENT_SIGN=65130]="SMALL_PERCENT_SIGN",eo[eo.SMALL_COMMERCIAL_AT=65131]="SMALL_COMMERCIAL_AT",eo[eo.FULLWIDTH_EXCLAMATION_MARK=65281]="FULLWIDTH_EXCLAMATION_MARK",eo[eo.FULLWIDTH_QUOTATION_MARK=65282]="FULLWIDTH_QUOTATION_MARK",eo[eo.FULLWIDTH_NUMBER_SIGN=65283]="FULLWIDTH_NUMBER_SIGN",eo[eo.FULLWIDTH_PERCENT_SIGN=65285]="FULLWIDTH_PERCENT_SIGN",eo[eo.FULLWIDTH_AMPERSAND=65286]="FULLWIDTH_AMPERSAND",eo[eo.FULLWIDTH_APOSTROPHE=65287]="FULLWIDTH_APOSTROPHE",eo[eo.FULLWIDTH_ASTERISK=65290]="FULLWIDTH_ASTERISK",eo[eo.FULLWIDTH_COMMA=65292]="FULLWIDTH_COMMA",eo[eo.FULLWIDTH_FULL_STOP=65294]="FULLWIDTH_FULL_STOP",eo[eo.FULLWIDTH_SOLIDUS=65295]="FULLWIDTH_SOLIDUS",eo[eo.FULLWIDTH_COLON=65306]="FULLWIDTH_COLON",eo[eo.FULLWIDTH_SEMICOLON=65307]="FULLWIDTH_SEMICOLON",eo[eo.FULLWIDTH_QUESTION_MARK=65311]="FULLWIDTH_QUESTION_MARK",eo[eo.FULLWIDTH_COMMERCIAL_AT=65312]="FULLWIDTH_COMMERCIAL_AT",eo[eo.FULLWIDTH_REVERSE_SOLIDUS=65340]="FULLWIDTH_REVERSE_SOLIDUS",eo[eo.HALFWIDTH_IDEOGRAPHIC_FULL_STOP=65377]="HALFWIDTH_IDEOGRAPHIC_FULL_STOP",eo[eo.HALFWIDTH_IDEOGRAPHIC_COMMA=65380]="HALFWIDTH_IDEOGRAPHIC_COMMA",eo[eo.HALFWIDTH_KATAKANA_MIDDLE_DOT=65381]="HALFWIDTH_KATAKANA_MIDDLE_DOT",eo[eo.AEGEAN_WORD_SEPARATOR_LINE=65792]="AEGEAN_WORD_SEPARATOR_LINE",eo[eo.AEGEAN_WORD_SEPARATOR_DOT=65793]="AEGEAN_WORD_SEPARATOR_DOT",eo[eo.AEGEAN_CHECK_MARK=65794]="AEGEAN_CHECK_MARK",eo[eo.UGARITIC_WORD_DIVIDER=66463]="UGARITIC_WORD_DIVIDER",eo[eo.OLD_PERSIAN_WORD_DIVIDER=66512]="OLD_PERSIAN_WORD_DIVIDER",eo[eo.CAUCASIAN_ALBANIAN_CITATION_MARK=66927]="CAUCASIAN_ALBANIAN_CITATION_MARK",eo[eo.IMPERIAL_ARAMAIC_SECTION_SIGN=67671]="IMPERIAL_ARAMAIC_SECTION_SIGN",eo[eo.PHOENICIAN_WORD_SEPARATOR=67871]="PHOENICIAN_WORD_SEPARATOR",eo[eo.LYDIAN_TRIANGULAR_MARK=67903]="LYDIAN_TRIANGULAR_MARK",eo[eo.KHAROSHTHI_PUNCTUATION_DOT=68176]="KHAROSHTHI_PUNCTUATION_DOT",eo[eo.KHAROSHTHI_PUNCTUATION_SMALL_CIRCLE=68177]="KHAROSHTHI_PUNCTUATION_SMALL_CIRCLE",eo[eo.KHAROSHTHI_PUNCTUATION_CIRCLE=68178]="KHAROSHTHI_PUNCTUATION_CIRCLE",eo[eo.KHAROSHTHI_PUNCTUATION_CRESCENT_BAR=68179]="KHAROSHTHI_PUNCTUATION_CRESCENT_BAR",eo[eo.KHAROSHTHI_PUNCTUATION_MANGALAM=68180]="KHAROSHTHI_PUNCTUATION_MANGALAM",eo[eo.KHAROSHTHI_PUNCTUATION_LOTUS=68181]="KHAROSHTHI_PUNCTUATION_LOTUS",eo[eo.KHAROSHTHI_PUNCTUATION_DANDA=68182]="KHAROSHTHI_PUNCTUATION_DANDA",eo[eo.KHAROSHTHI_PUNCTUATION_DOUBLE_DANDA=68183]="KHAROSHTHI_PUNCTUATION_DOUBLE_DANDA",eo[eo.KHAROSHTHI_PUNCTUATION_LINES=68184]="KHAROSHTHI_PUNCTUATION_LINES",eo[eo.OLD_SOUTH_ARABIAN_NUMERIC_INDICATOR=68223]="OLD_SOUTH_ARABIAN_NUMERIC_INDICATOR",eo[eo.MANICHAEAN_PUNCTUATION_STAR=68336]="MANICHAEAN_PUNCTUATION_STAR",eo[eo.MANICHAEAN_PUNCTUATION_FLEURON=68337]="MANICHAEAN_PUNCTUATION_FLEURON",eo[eo.MANICHAEAN_PUNCTUATION_DOUBLE_DOT_WITHIN_DOT=68338]="MANICHAEAN_PUNCTUATION_DOUBLE_DOT_WITHIN_DOT",eo[eo.MANICHAEAN_PUNCTUATION_DOT_WITHIN_DOT=68339]="MANICHAEAN_PUNCTUATION_DOT_WITHIN_DOT",eo[eo.MANICHAEAN_PUNCTUATION_DOT=68340]="MANICHAEAN_PUNCTUATION_DOT",eo[eo.MANICHAEAN_PUNCTUATION_TWO_DOTS=68341]="MANICHAEAN_PUNCTUATION_TWO_DOTS",eo[eo.MANICHAEAN_PUNCTUATION_LINE_FILLER=68342]="MANICHAEAN_PUNCTUATION_LINE_FILLER",eo[eo.AVESTAN_ABBREVIATION_MARK=68409]="AVESTAN_ABBREVIATION_MARK",eo[eo.TINY_TWO_DOTS_OVER_ONE_DOT_PUNCTUATION=68410]="TINY_TWO_DOTS_OVER_ONE_DOT_PUNCTUATION",eo[eo.SMALL_TWO_DOTS_OVER_ONE_DOT_PUNCTUATION=68411]="SMALL_TWO_DOTS_OVER_ONE_DOT_PUNCTUATION",eo[eo.LARGE_TWO_DOTS_OVER_ONE_DOT_PUNCTUATION=68412]="LARGE_TWO_DOTS_OVER_ONE_DOT_PUNCTUATION",eo[eo.LARGE_ONE_DOT_OVER_TWO_DOTS_PUNCTUATION=68413]="LARGE_ONE_DOT_OVER_TWO_DOTS_PUNCTUATION",eo[eo.LARGE_TWO_RINGS_OVER_ONE_RING_PUNCTUATION=68414]="LARGE_TWO_RINGS_OVER_ONE_RING_PUNCTUATION",eo[eo.LARGE_ONE_RING_OVER_TWO_RINGS_PUNCTUATION=68415]="LARGE_ONE_RING_OVER_TWO_RINGS_PUNCTUATION",eo[eo.PSALTER_PAHLAVI_SECTION_MARK=68505]="PSALTER_PAHLAVI_SECTION_MARK",eo[eo.PSALTER_PAHLAVI_TURNED_SECTION_MARK=68506]="PSALTER_PAHLAVI_TURNED_SECTION_MARK",eo[eo.PSALTER_PAHLAVI_FOUR_DOTS_WITH_CROSS=68507]="PSALTER_PAHLAVI_FOUR_DOTS_WITH_CROSS",eo[eo.PSALTER_PAHLAVI_FOUR_DOTS_WITH_DOT=68508]="PSALTER_PAHLAVI_FOUR_DOTS_WITH_DOT",eo[eo.SOGDIAN_PUNCTUATION_TWO_VERTICAL_BARS=69461]="SOGDIAN_PUNCTUATION_TWO_VERTICAL_BARS",eo[eo.SOGDIAN_PUNCTUATION_TWO_VERTICAL_BARS_WITH_DOTS=69462]="SOGDIAN_PUNCTUATION_TWO_VERTICAL_BARS_WITH_DOTS",eo[eo.SOGDIAN_PUNCTUATION_CIRCLE_WITH_DOT=69463]="SOGDIAN_PUNCTUATION_CIRCLE_WITH_DOT",eo[eo.SOGDIAN_PUNCTUATION_TWO_CIRCLES_WITH_DOTS=69464]="SOGDIAN_PUNCTUATION_TWO_CIRCLES_WITH_DOTS",eo[eo.SOGDIAN_PUNCTUATION_HALF_CIRCLE_WITH_DOT=69465]="SOGDIAN_PUNCTUATION_HALF_CIRCLE_WITH_DOT",eo[eo.BRAHMI_DANDA=69703]="BRAHMI_DANDA",eo[eo.BRAHMI_DOUBLE_DANDA=69704]="BRAHMI_DOUBLE_DANDA",eo[eo.BRAHMI_PUNCTUATION_DOT=69705]="BRAHMI_PUNCTUATION_DOT",eo[eo.BRAHMI_PUNCTUATION_DOUBLE_DOT=69706]="BRAHMI_PUNCTUATION_DOUBLE_DOT",eo[eo.BRAHMI_PUNCTUATION_LINE=69707]="BRAHMI_PUNCTUATION_LINE",eo[eo.BRAHMI_PUNCTUATION_CRESCENT_BAR=69708]="BRAHMI_PUNCTUATION_CRESCENT_BAR",eo[eo.BRAHMI_PUNCTUATION_LOTUS=69709]="BRAHMI_PUNCTUATION_LOTUS",eo[eo.KAITHI_ABBREVIATION_SIGN=69819]="KAITHI_ABBREVIATION_SIGN",eo[eo.KAITHI_ENUMERATION_SIGN=69820]="KAITHI_ENUMERATION_SIGN",eo[eo.KAITHI_SECTION_MARK=69822]="KAITHI_SECTION_MARK",eo[eo.KAITHI_DOUBLE_SECTION_MARK=69823]="KAITHI_DOUBLE_SECTION_MARK",eo[eo.KAITHI_DANDA=69824]="KAITHI_DANDA",eo[eo.KAITHI_DOUBLE_DANDA=69825]="KAITHI_DOUBLE_DANDA",eo[eo.CHAKMA_SECTION_MARK=69952]="CHAKMA_SECTION_MARK",eo[eo.CHAKMA_DANDA=69953]="CHAKMA_DANDA",eo[eo.CHAKMA_DOUBLE_DANDA=69954]="CHAKMA_DOUBLE_DANDA",eo[eo.CHAKMA_QUESTION_MARK=69955]="CHAKMA_QUESTION_MARK",eo[eo.MAHAJANI_ABBREVIATION_SIGN=70004]="MAHAJANI_ABBREVIATION_SIGN",eo[eo.MAHAJANI_SECTION_MARK=70005]="MAHAJANI_SECTION_MARK",eo[eo.SHARADA_DANDA=70085]="SHARADA_DANDA",eo[eo.SHARADA_DOUBLE_DANDA=70086]="SHARADA_DOUBLE_DANDA",eo[eo.SHARADA_ABBREVIATION_SIGN=70087]="SHARADA_ABBREVIATION_SIGN",eo[eo.SHARADA_SEPARATOR=70088]="SHARADA_SEPARATOR",eo[eo.SHARADA_SUTRA_MARK=70093]="SHARADA_SUTRA_MARK",eo[eo.SHARADA_SIGN_SIDDHAM=70107]="SHARADA_SIGN_SIDDHAM",eo[eo.SHARADA_CONTINUATION_SIGN=70109]="SHARADA_CONTINUATION_SIGN",eo[eo.SHARADA_SECTION_MARK_1=70110]="SHARADA_SECTION_MARK_1",eo[eo.SHARADA_SECTION_MARK_2=70111]="SHARADA_SECTION_MARK_2",eo[eo.KHOJKI_DANDA=70200]="KHOJKI_DANDA",eo[eo.KHOJKI_DOUBLE_DANDA=70201]="KHOJKI_DOUBLE_DANDA",eo[eo.KHOJKI_WORD_SEPARATOR=70202]="KHOJKI_WORD_SEPARATOR",eo[eo.KHOJKI_SECTION_MARK=70203]="KHOJKI_SECTION_MARK",eo[eo.KHOJKI_DOUBLE_SECTION_MARK=70204]="KHOJKI_DOUBLE_SECTION_MARK",eo[eo.KHOJKI_ABBREVIATION_SIGN=70205]="KHOJKI_ABBREVIATION_SIGN",eo[eo.MULTANI_SECTION_MARK=70313]="MULTANI_SECTION_MARK",eo[eo.NEWA_DANDA=70731]="NEWA_DANDA",eo[eo.NEWA_DOUBLE_DANDA=70732]="NEWA_DOUBLE_DANDA",eo[eo.NEWA_COMMA=70733]="NEWA_COMMA",eo[eo.NEWA_GAP_FILLER=70734]="NEWA_GAP_FILLER",eo[eo.NEWA_ABBREVIATION_SIGN=70735]="NEWA_ABBREVIATION_SIGN",eo[eo.NEWA_DOUBLE_COMMA=70746]="NEWA_DOUBLE_COMMA",eo[eo.NEWA_PLACEHOLDER_MARK=70747]="NEWA_PLACEHOLDER_MARK",eo[eo.NEWA_INSERTION_SIGN=70749]="NEWA_INSERTION_SIGN",eo[eo.TIRHUTA_ABBREVIATION_SIGN=70854]="TIRHUTA_ABBREVIATION_SIGN",eo[eo.SIDDHAM_SIGN_SIDDHAM=71105]="SIDDHAM_SIGN_SIDDHAM",eo[eo.SIDDHAM_DANDA=71106]="SIDDHAM_DANDA",eo[eo.SIDDHAM_DOUBLE_DANDA=71107]="SIDDHAM_DOUBLE_DANDA",eo[eo.SIDDHAM_SEPARATOR_DOT=71108]="SIDDHAM_SEPARATOR_DOT",eo[eo.SIDDHAM_SEPARATOR_BAR=71109]="SIDDHAM_SEPARATOR_BAR",eo[eo.SIDDHAM_REPETITION_MARK_1=71110]="SIDDHAM_REPETITION_MARK_1",eo[eo.SIDDHAM_REPETITION_MARK_2=71111]="SIDDHAM_REPETITION_MARK_2",eo[eo.SIDDHAM_REPETITION_MARK_3=71112]="SIDDHAM_REPETITION_MARK_3",eo[eo.SIDDHAM_END_OF_TEXT_MARK=71113]="SIDDHAM_END_OF_TEXT_MARK",eo[eo.SIDDHAM_SECTION_MARK_WITH_TRIDENT_AND_U_SHAPED_ORNAMENTS=71114]="SIDDHAM_SECTION_MARK_WITH_TRIDENT_AND_U_SHAPED_ORNAMENTS",eo[eo.SIDDHAM_SECTION_MARK_WITH_TRIDENT_AND_DOTTED_CRESCENTS=71115]="SIDDHAM_SECTION_MARK_WITH_TRIDENT_AND_DOTTED_CRESCENTS",eo[eo.SIDDHAM_SECTION_MARK_WITH_RAYS_AND_DOTTED_CRESCENTS=71116]="SIDDHAM_SECTION_MARK_WITH_RAYS_AND_DOTTED_CRESCENTS",eo[eo.SIDDHAM_SECTION_MARK_WITH_RAYS_AND_DOTTED_DOUBLE_CRESCENTS=71117]="SIDDHAM_SECTION_MARK_WITH_RAYS_AND_DOTTED_DOUBLE_CRESCENTS",eo[eo.SIDDHAM_SECTION_MARK_WITH_RAYS_AND_DOTTED_TRIPLE_CRESCENTS=71118]="SIDDHAM_SECTION_MARK_WITH_RAYS_AND_DOTTED_TRIPLE_CRESCENTS",eo[eo.SIDDHAM_SECTION_MARK_DOUBLE_RING=71119]="SIDDHAM_SECTION_MARK_DOUBLE_RING",eo[eo.SIDDHAM_SECTION_MARK_DOUBLE_RING_WITH_RAYS=71120]="SIDDHAM_SECTION_MARK_DOUBLE_RING_WITH_RAYS",eo[eo.SIDDHAM_SECTION_MARK_WITH_DOUBLE_CRESCENTS=71121]="SIDDHAM_SECTION_MARK_WITH_DOUBLE_CRESCENTS",eo[eo.SIDDHAM_SECTION_MARK_WITH_TRIPLE_CRESCENTS=71122]="SIDDHAM_SECTION_MARK_WITH_TRIPLE_CRESCENTS",eo[eo.SIDDHAM_SECTION_MARK_WITH_QUADRUPLE_CRESCENTS=71123]="SIDDHAM_SECTION_MARK_WITH_QUADRUPLE_CRESCENTS",eo[eo.SIDDHAM_SECTION_MARK_WITH_SEPTUPLE_CRESCENTS=71124]="SIDDHAM_SECTION_MARK_WITH_SEPTUPLE_CRESCENTS",eo[eo.SIDDHAM_SECTION_MARK_WITH_CIRCLES_AND_RAYS=71125]="SIDDHAM_SECTION_MARK_WITH_CIRCLES_AND_RAYS",eo[eo.SIDDHAM_SECTION_MARK_WITH_CIRCLES_AND_TWO_ENCLOSURES=71126]="SIDDHAM_SECTION_MARK_WITH_CIRCLES_AND_TWO_ENCLOSURES",eo[eo.SIDDHAM_SECTION_MARK_WITH_CIRCLES_AND_FOUR_ENCLOSURES=71127]="SIDDHAM_SECTION_MARK_WITH_CIRCLES_AND_FOUR_ENCLOSURES",eo[eo.MODI_DANDA=71233]="MODI_DANDA",eo[eo.MODI_DOUBLE_DANDA=71234]="MODI_DOUBLE_DANDA",eo[eo.MODI_ABBREVIATION_SIGN=71235]="MODI_ABBREVIATION_SIGN",eo[eo.MONGOLIAN_BIRGA_WITH_ORNAMENT=71264]="MONGOLIAN_BIRGA_WITH_ORNAMENT",eo[eo.MONGOLIAN_ROTATED_BIRGA=71265]="MONGOLIAN_ROTATED_BIRGA",eo[eo.MONGOLIAN_DOUBLE_BIRGA_WITH_ORNAMENT=71266]="MONGOLIAN_DOUBLE_BIRGA_WITH_ORNAMENT",eo[eo.MONGOLIAN_TRIPLE_BIRGA_WITH_ORNAMENT=71267]="MONGOLIAN_TRIPLE_BIRGA_WITH_ORNAMENT",eo[eo.MONGOLIAN_BIRGA_WITH_DOUBLE_ORNAMENT=71268]="MONGOLIAN_BIRGA_WITH_DOUBLE_ORNAMENT",eo[eo.MONGOLIAN_ROTATED_BIRGA_WITH_ORNAMENT=71269]="MONGOLIAN_ROTATED_BIRGA_WITH_ORNAMENT",eo[eo.MONGOLIAN_ROTATED_BIRGA_WITH_DOUBLE_ORNAMENT=71270]="MONGOLIAN_ROTATED_BIRGA_WITH_DOUBLE_ORNAMENT",eo[eo.MONGOLIAN_INVERTED_BIRGA=71271]="MONGOLIAN_INVERTED_BIRGA",eo[eo.MONGOLIAN_INVERTED_BIRGA_WITH_DOUBLE_ORNAMENT=71272]="MONGOLIAN_INVERTED_BIRGA_WITH_DOUBLE_ORNAMENT",eo[eo.MONGOLIAN_SWIRL_BIRGA=71273]="MONGOLIAN_SWIRL_BIRGA",eo[eo.MONGOLIAN_SWIRL_BIRGA_WITH_ORNAMENT=71274]="MONGOLIAN_SWIRL_BIRGA_WITH_ORNAMENT",eo[eo.MONGOLIAN_SWIRL_BIRGA_WITH_DOUBLE_ORNAMENT=71275]="MONGOLIAN_SWIRL_BIRGA_WITH_DOUBLE_ORNAMENT",eo[eo.MONGOLIAN_TURNED_SWIRL_BIRGA_WITH_DOUBLE_ORNAMENT=71276]="MONGOLIAN_TURNED_SWIRL_BIRGA_WITH_DOUBLE_ORNAMENT",eo[eo.AHOM_SIGN_SMALL_SECTION=71484]="AHOM_SIGN_SMALL_SECTION",eo[eo.AHOM_SIGN_SECTION=71485]="AHOM_SIGN_SECTION",eo[eo.AHOM_SIGN_RULAI=71486]="AHOM_SIGN_RULAI",eo[eo.DOGRA_ABBREVIATION_SIGN=71739]="DOGRA_ABBREVIATION_SIGN",eo[eo.DIVES_AKURU_DOUBLE_DANDA=72004]="DIVES_AKURU_DOUBLE_DANDA",eo[eo.DIVES_AKURU_GAP_FILLER=72005]="DIVES_AKURU_GAP_FILLER",eo[eo.DIVES_AKURU_END_OF_TEXT_MARK=72006]="DIVES_AKURU_END_OF_TEXT_MARK",eo[eo.NANDINAGARI_SIGN_SIDDHAM=72162]="NANDINAGARI_SIGN_SIDDHAM",eo[eo.ZANABAZAR_SQUARE_INITIAL_HEAD_MARK=72255]="ZANABAZAR_SQUARE_INITIAL_HEAD_MARK",eo[eo.ZANABAZAR_SQUARE_CLOSING_HEAD_MARK=72256]="ZANABAZAR_SQUARE_CLOSING_HEAD_MARK",eo[eo.ZANABAZAR_SQUARE_MARK_TSHEG=72257]="ZANABAZAR_SQUARE_MARK_TSHEG",eo[eo.ZANABAZAR_SQUARE_MARK_SHAD=72258]="ZANABAZAR_SQUARE_MARK_SHAD",eo[eo.ZANABAZAR_SQUARE_MARK_DOUBLE_SHAD=72259]="ZANABAZAR_SQUARE_MARK_DOUBLE_SHAD",eo[eo.ZANABAZAR_SQUARE_MARK_LONG_TSHEG=72260]="ZANABAZAR_SQUARE_MARK_LONG_TSHEG",eo[eo.ZANABAZAR_SQUARE_INITIAL_DOUBLE_LINED_HEAD_MARK=72261]="ZANABAZAR_SQUARE_INITIAL_DOUBLE_LINED_HEAD_MARK",eo[eo.ZANABAZAR_SQUARE_CLOSING_DOUBLE_LINED_HEAD_MARK=72262]="ZANABAZAR_SQUARE_CLOSING_DOUBLE_LINED_HEAD_MARK",eo[eo.SOYOMBO_MARK_TSHEG=72346]="SOYOMBO_MARK_TSHEG",eo[eo.SOYOMBO_MARK_SHAD=72347]="SOYOMBO_MARK_SHAD",eo[eo.SOYOMBO_MARK_DOUBLE_SHAD=72348]="SOYOMBO_MARK_DOUBLE_SHAD",eo[eo.SOYOMBO_HEAD_MARK_WITH_MOON_AND_SUN_AND_TRIPLE_FLAME=72350]="SOYOMBO_HEAD_MARK_WITH_MOON_AND_SUN_AND_TRIPLE_FLAME",eo[eo.SOYOMBO_HEAD_MARK_WITH_MOON_AND_SUN_AND_FLAME=72351]="SOYOMBO_HEAD_MARK_WITH_MOON_AND_SUN_AND_FLAME",eo[eo.SOYOMBO_HEAD_MARK_WITH_MOON_AND_SUN=72352]="SOYOMBO_HEAD_MARK_WITH_MOON_AND_SUN",eo[eo.SOYOMBO_TERMINAL_MARK_1=72353]="SOYOMBO_TERMINAL_MARK_1",eo[eo.SOYOMBO_TERMINAL_MARK_2=72354]="SOYOMBO_TERMINAL_MARK_2",eo[eo.BHAIKSUKI_DANDA=72769]="BHAIKSUKI_DANDA",eo[eo.BHAIKSUKI_DOUBLE_DANDA=72770]="BHAIKSUKI_DOUBLE_DANDA",eo[eo.BHAIKSUKI_WORD_SEPARATOR=72771]="BHAIKSUKI_WORD_SEPARATOR",eo[eo.BHAIKSUKI_GAP_FILLER_1=72772]="BHAIKSUKI_GAP_FILLER_1",eo[eo.BHAIKSUKI_GAP_FILLER_2=72773]="BHAIKSUKI_GAP_FILLER_2",eo[eo.MARCHEN_HEAD_MARK=72816]="MARCHEN_HEAD_MARK",eo[eo.MARCHEN_MARK_SHAD=72817]="MARCHEN_MARK_SHAD",eo[eo.MAKASAR_PASSIMBANG=73463]="MAKASAR_PASSIMBANG",eo[eo.MAKASAR_END_OF_SECTION=73464]="MAKASAR_END_OF_SECTION",eo[eo.TAMIL_PUNCTUATION_END_OF_TEXT=73727]="TAMIL_PUNCTUATION_END_OF_TEXT",eo[eo.CUNEIFORM_PUNCTUATION_SIGN_OLD_ASSYRIAN_WORD_DIVIDER=74864]="CUNEIFORM_PUNCTUATION_SIGN_OLD_ASSYRIAN_WORD_DIVIDER",eo[eo.CUNEIFORM_PUNCTUATION_SIGN_VERTICAL_COLON=74865]="CUNEIFORM_PUNCTUATION_SIGN_VERTICAL_COLON",eo[eo.CUNEIFORM_PUNCTUATION_SIGN_DIAGONAL_COLON=74866]="CUNEIFORM_PUNCTUATION_SIGN_DIAGONAL_COLON",eo[eo.CUNEIFORM_PUNCTUATION_SIGN_DIAGONAL_TRICOLON=74867]="CUNEIFORM_PUNCTUATION_SIGN_DIAGONAL_TRICOLON",eo[eo.CUNEIFORM_PUNCTUATION_SIGN_DIAGONAL_QUADCOLON=74868]="CUNEIFORM_PUNCTUATION_SIGN_DIAGONAL_QUADCOLON",eo[eo.MRO_DANDA=92782]="MRO_DANDA",eo[eo.MRO_DOUBLE_DANDA=92783]="MRO_DOUBLE_DANDA",eo[eo.BASSA_VAH_FULL_STOP=92917]="BASSA_VAH_FULL_STOP",eo[eo.PAHAWH_HMONG_SIGN_VOS_THOM=92983]="PAHAWH_HMONG_SIGN_VOS_THOM",eo[eo.PAHAWH_HMONG_SIGN_VOS_TSHAB_CEEB=92984]="PAHAWH_HMONG_SIGN_VOS_TSHAB_CEEB",eo[eo.PAHAWH_HMONG_SIGN_CIM_CHEEM=92985]="PAHAWH_HMONG_SIGN_CIM_CHEEM",eo[eo.PAHAWH_HMONG_SIGN_VOS_THIAB=92986]="PAHAWH_HMONG_SIGN_VOS_THIAB",eo[eo.PAHAWH_HMONG_SIGN_VOS_FEEM=92987]="PAHAWH_HMONG_SIGN_VOS_FEEM",eo[eo.PAHAWH_HMONG_SIGN_XAUS=92996]="PAHAWH_HMONG_SIGN_XAUS",eo[eo.MEDEFAIDRIN_COMMA=93847]="MEDEFAIDRIN_COMMA",eo[eo.MEDEFAIDRIN_FULL_STOP=93848]="MEDEFAIDRIN_FULL_STOP",eo[eo.MEDEFAIDRIN_SYMBOL_AIVA=93849]="MEDEFAIDRIN_SYMBOL_AIVA",eo[eo.MEDEFAIDRIN_EXCLAMATION_OH=93850]="MEDEFAIDRIN_EXCLAMATION_OH",eo[eo.OLD_CHINESE_HOOK_MARK=94178]="OLD_CHINESE_HOOK_MARK",eo[eo.DUPLOYAN_PUNCTUATION_CHINOOK_FULL_STOP=113823]="DUPLOYAN_PUNCTUATION_CHINOOK_FULL_STOP",eo[eo.SIGNWRITING_COMMA=121479]="SIGNWRITING_COMMA",eo[eo.SIGNWRITING_FULL_STOP=121480]="SIGNWRITING_FULL_STOP",eo[eo.SIGNWRITING_SEMICOLON=121481]="SIGNWRITING_SEMICOLON",eo[eo.SIGNWRITING_COLON=121482]="SIGNWRITING_COLON",eo[eo.SIGNWRITING_PARENTHESIS=121483]="SIGNWRITING_PARENTHESIS",eo[eo.ADLAM_INITIAL_EXCLAMATION_MARK=125278]="ADLAM_INITIAL_EXCLAMATION_MARK",eo[eo.ADLAM_INITIAL_QUESTION_MARK=125279]="ADLAM_INITIAL_QUESTION_MARK"})(UnicodePoCodePoint||(UnicodePoCodePoint={}));var UnicodePsCodePoint;(function(eo){eo[eo.LEFT_PARENTHESIS=40]="LEFT_PARENTHESIS",eo[eo.LEFT_SQUARE_BRACKET=91]="LEFT_SQUARE_BRACKET",eo[eo.LEFT_CURLY_BRACKET=123]="LEFT_CURLY_BRACKET",eo[eo.TIBETAN_MARK_GUG_RTAGS_GYON=3898]="TIBETAN_MARK_GUG_RTAGS_GYON",eo[eo.TIBETAN_MARK_ANG_KHANG_GYON=3900]="TIBETAN_MARK_ANG_KHANG_GYON",eo[eo.OGHAM_FEATHER_MARK=5787]="OGHAM_FEATHER_MARK",eo[eo.SINGLE_LOW_9_QUOTATION_MARK=8218]="SINGLE_LOW_9_QUOTATION_MARK",eo[eo.DOUBLE_LOW_9_QUOTATION_MARK=8222]="DOUBLE_LOW_9_QUOTATION_MARK",eo[eo.LEFT_SQUARE_BRACKET_WITH_QUILL=8261]="LEFT_SQUARE_BRACKET_WITH_QUILL",eo[eo.SUPERSCRIPT_LEFT_PARENTHESIS=8317]="SUPERSCRIPT_LEFT_PARENTHESIS",eo[eo.SUBSCRIPT_LEFT_PARENTHESIS=8333]="SUBSCRIPT_LEFT_PARENTHESIS",eo[eo.LEFT_CEILING=8968]="LEFT_CEILING",eo[eo.LEFT_FLOOR=8970]="LEFT_FLOOR",eo[eo.LEFT_POINTING_ANGLE_BRACKET=9001]="LEFT_POINTING_ANGLE_BRACKET",eo[eo.MEDIUM_LEFT_PARENTHESIS_ORNAMENT=10088]="MEDIUM_LEFT_PARENTHESIS_ORNAMENT",eo[eo.MEDIUM_FLATTENED_LEFT_PARENTHESIS_ORNAMENT=10090]="MEDIUM_FLATTENED_LEFT_PARENTHESIS_ORNAMENT",eo[eo.MEDIUM_LEFT_POINTING_ANGLE_BRACKET_ORNAMENT=10092]="MEDIUM_LEFT_POINTING_ANGLE_BRACKET_ORNAMENT",eo[eo.HEAVY_LEFT_POINTING_ANGLE_QUOTATION_MARK_ORNAMENT=10094]="HEAVY_LEFT_POINTING_ANGLE_QUOTATION_MARK_ORNAMENT",eo[eo.HEAVY_LEFT_POINTING_ANGLE_BRACKET_ORNAMENT=10096]="HEAVY_LEFT_POINTING_ANGLE_BRACKET_ORNAMENT",eo[eo.LIGHT_LEFT_TORTOISE_SHELL_BRACKET_ORNAMENT=10098]="LIGHT_LEFT_TORTOISE_SHELL_BRACKET_ORNAMENT",eo[eo.MEDIUM_LEFT_CURLY_BRACKET_ORNAMENT=10100]="MEDIUM_LEFT_CURLY_BRACKET_ORNAMENT",eo[eo.LEFT_S_SHAPED_BAG_DELIMITER=10181]="LEFT_S_SHAPED_BAG_DELIMITER",eo[eo.MATHEMATICAL_LEFT_WHITE_SQUARE_BRACKET=10214]="MATHEMATICAL_LEFT_WHITE_SQUARE_BRACKET",eo[eo.MATHEMATICAL_LEFT_ANGLE_BRACKET=10216]="MATHEMATICAL_LEFT_ANGLE_BRACKET",eo[eo.MATHEMATICAL_LEFT_DOUBLE_ANGLE_BRACKET=10218]="MATHEMATICAL_LEFT_DOUBLE_ANGLE_BRACKET",eo[eo.MATHEMATICAL_LEFT_WHITE_TORTOISE_SHELL_BRACKET=10220]="MATHEMATICAL_LEFT_WHITE_TORTOISE_SHELL_BRACKET",eo[eo.MATHEMATICAL_LEFT_FLATTENED_PARENTHESIS=10222]="MATHEMATICAL_LEFT_FLATTENED_PARENTHESIS",eo[eo.LEFT_WHITE_CURLY_BRACKET=10627]="LEFT_WHITE_CURLY_BRACKET",eo[eo.LEFT_WHITE_PARENTHESIS=10629]="LEFT_WHITE_PARENTHESIS",eo[eo.Z_NOTATION_LEFT_IMAGE_BRACKET=10631]="Z_NOTATION_LEFT_IMAGE_BRACKET",eo[eo.Z_NOTATION_LEFT_BINDING_BRACKET=10633]="Z_NOTATION_LEFT_BINDING_BRACKET",eo[eo.LEFT_SQUARE_BRACKET_WITH_UNDERBAR=10635]="LEFT_SQUARE_BRACKET_WITH_UNDERBAR",eo[eo.LEFT_SQUARE_BRACKET_WITH_TICK_IN_TOP_CORNER=10637]="LEFT_SQUARE_BRACKET_WITH_TICK_IN_TOP_CORNER",eo[eo.LEFT_SQUARE_BRACKET_WITH_TICK_IN_BOTTOM_CORNER=10639]="LEFT_SQUARE_BRACKET_WITH_TICK_IN_BOTTOM_CORNER",eo[eo.LEFT_ANGLE_BRACKET_WITH_DOT=10641]="LEFT_ANGLE_BRACKET_WITH_DOT",eo[eo.LEFT_ARC_LESS_THAN_BRACKET=10643]="LEFT_ARC_LESS_THAN_BRACKET",eo[eo.DOUBLE_LEFT_ARC_GREATER_THAN_BRACKET=10645]="DOUBLE_LEFT_ARC_GREATER_THAN_BRACKET",eo[eo.LEFT_BLACK_TORTOISE_SHELL_BRACKET=10647]="LEFT_BLACK_TORTOISE_SHELL_BRACKET",eo[eo.LEFT_WIGGLY_FENCE=10712]="LEFT_WIGGLY_FENCE",eo[eo.LEFT_DOUBLE_WIGGLY_FENCE=10714]="LEFT_DOUBLE_WIGGLY_FENCE",eo[eo.LEFT_POINTING_CURVED_ANGLE_BRACKET=10748]="LEFT_POINTING_CURVED_ANGLE_BRACKET",eo[eo.TOP_LEFT_HALF_BRACKET=11810]="TOP_LEFT_HALF_BRACKET",eo[eo.BOTTOM_LEFT_HALF_BRACKET=11812]="BOTTOM_LEFT_HALF_BRACKET",eo[eo.LEFT_SIDEWAYS_U_BRACKET=11814]="LEFT_SIDEWAYS_U_BRACKET",eo[eo.LEFT_DOUBLE_PARENTHESIS=11816]="LEFT_DOUBLE_PARENTHESIS",eo[eo.DOUBLE_LOW_REVERSED_9_QUOTATION_MARK=11842]="DOUBLE_LOW_REVERSED_9_QUOTATION_MARK",eo[eo.LEFT_ANGLE_BRACKET=12296]="LEFT_ANGLE_BRACKET",eo[eo.LEFT_DOUBLE_ANGLE_BRACKET=12298]="LEFT_DOUBLE_ANGLE_BRACKET",eo[eo.LEFT_CORNER_BRACKET=12300]="LEFT_CORNER_BRACKET",eo[eo.LEFT_WHITE_CORNER_BRACKET=12302]="LEFT_WHITE_CORNER_BRACKET",eo[eo.LEFT_BLACK_LENTICULAR_BRACKET=12304]="LEFT_BLACK_LENTICULAR_BRACKET",eo[eo.LEFT_TORTOISE_SHELL_BRACKET=12308]="LEFT_TORTOISE_SHELL_BRACKET",eo[eo.LEFT_WHITE_LENTICULAR_BRACKET=12310]="LEFT_WHITE_LENTICULAR_BRACKET",eo[eo.LEFT_WHITE_TORTOISE_SHELL_BRACKET=12312]="LEFT_WHITE_TORTOISE_SHELL_BRACKET",eo[eo.LEFT_WHITE_SQUARE_BRACKET=12314]="LEFT_WHITE_SQUARE_BRACKET",eo[eo.REVERSED_DOUBLE_PRIME_QUOTATION_MARK=12317]="REVERSED_DOUBLE_PRIME_QUOTATION_MARK",eo[eo.ORNATE_RIGHT_PARENTHESIS=64831]="ORNATE_RIGHT_PARENTHESIS",eo[eo.PRESENTATION_FORM_FOR_VERTICAL_LEFT_WHITE_LENTICULAR_BRACKET=65047]="PRESENTATION_FORM_FOR_VERTICAL_LEFT_WHITE_LENTICULAR_BRACKET",eo[eo.PRESENTATION_FORM_FOR_VERTICAL_LEFT_PARENTHESIS=65077]="PRESENTATION_FORM_FOR_VERTICAL_LEFT_PARENTHESIS",eo[eo.PRESENTATION_FORM_FOR_VERTICAL_LEFT_CURLY_BRACKET=65079]="PRESENTATION_FORM_FOR_VERTICAL_LEFT_CURLY_BRACKET",eo[eo.PRESENTATION_FORM_FOR_VERTICAL_LEFT_TORTOISE_SHELL_BRACKET=65081]="PRESENTATION_FORM_FOR_VERTICAL_LEFT_TORTOISE_SHELL_BRACKET",eo[eo.PRESENTATION_FORM_FOR_VERTICAL_LEFT_BLACK_LENTICULAR_BRACKET=65083]="PRESENTATION_FORM_FOR_VERTICAL_LEFT_BLACK_LENTICULAR_BRACKET",eo[eo.PRESENTATION_FORM_FOR_VERTICAL_LEFT_DOUBLE_ANGLE_BRACKET=65085]="PRESENTATION_FORM_FOR_VERTICAL_LEFT_DOUBLE_ANGLE_BRACKET",eo[eo.PRESENTATION_FORM_FOR_VERTICAL_LEFT_ANGLE_BRACKET=65087]="PRESENTATION_FORM_FOR_VERTICAL_LEFT_ANGLE_BRACKET",eo[eo.PRESENTATION_FORM_FOR_VERTICAL_LEFT_CORNER_BRACKET=65089]="PRESENTATION_FORM_FOR_VERTICAL_LEFT_CORNER_BRACKET",eo[eo.PRESENTATION_FORM_FOR_VERTICAL_LEFT_WHITE_CORNER_BRACKET=65091]="PRESENTATION_FORM_FOR_VERTICAL_LEFT_WHITE_CORNER_BRACKET",eo[eo.PRESENTATION_FORM_FOR_VERTICAL_LEFT_SQUARE_BRACKET=65095]="PRESENTATION_FORM_FOR_VERTICAL_LEFT_SQUARE_BRACKET",eo[eo.SMALL_LEFT_PARENTHESIS=65113]="SMALL_LEFT_PARENTHESIS",eo[eo.SMALL_LEFT_CURLY_BRACKET=65115]="SMALL_LEFT_CURLY_BRACKET",eo[eo.SMALL_LEFT_TORTOISE_SHELL_BRACKET=65117]="SMALL_LEFT_TORTOISE_SHELL_BRACKET",eo[eo.FULLWIDTH_LEFT_PARENTHESIS=65288]="FULLWIDTH_LEFT_PARENTHESIS",eo[eo.FULLWIDTH_LEFT_SQUARE_BRACKET=65339]="FULLWIDTH_LEFT_SQUARE_BRACKET",eo[eo.FULLWIDTH_LEFT_CURLY_BRACKET=65371]="FULLWIDTH_LEFT_CURLY_BRACKET",eo[eo.FULLWIDTH_LEFT_WHITE_PARENTHESIS=65375]="FULLWIDTH_LEFT_WHITE_PARENTHESIS",eo[eo.HALFWIDTH_LEFT_CORNER_BRACKET=65378]="HALFWIDTH_LEFT_CORNER_BRACKET"})(UnicodePsCodePoint||(UnicodePsCodePoint={}));var UnicodeZsCodePoint;(function(eo){eo[eo.SPACE=32]="SPACE",eo[eo.NO_BREAK_SPACE=160]="NO_BREAK_SPACE",eo[eo.OGHAM_SPACE_MARK=5760]="OGHAM_SPACE_MARK",eo[eo.EN_QUAD=8192]="EN_QUAD",eo[eo.EM_QUAD=8193]="EM_QUAD",eo[eo.EN_SPACE=8194]="EN_SPACE",eo[eo.EM_SPACE=8195]="EM_SPACE",eo[eo.THREE_PER_EM_SPACE=8196]="THREE_PER_EM_SPACE",eo[eo.FOUR_PER_EM_SPACE=8197]="FOUR_PER_EM_SPACE",eo[eo.SIX_PER_EM_SPACE=8198]="SIX_PER_EM_SPACE",eo[eo.FIGURE_SPACE=8199]="FIGURE_SPACE",eo[eo.PUNCTUATION_SPACE=8200]="PUNCTUATION_SPACE",eo[eo.THIN_SPACE=8201]="THIN_SPACE",eo[eo.HAIR_SPACE=8202]="HAIR_SPACE",eo[eo.NARROW_NO_BREAK_SPACE=8239]="NARROW_NO_BREAK_SPACE",eo[eo.MEDIUM_MATHEMATICAL_SPACE=8287]="MEDIUM_MATHEMATICAL_SPACE",eo[eo.IDEOGRAPHIC_SPACE=12288]="IDEOGRAPHIC_SPACE"})(UnicodeZsCodePoint||(UnicodeZsCodePoint={}));var VirtualCodePoint;(function(eo){eo[eo.LINE_END=-1]="LINE_END",eo[eo.SPACE=-2]="SPACE"})(VirtualCodePoint||(VirtualCodePoint={}));function createCodePointSearcher(eo){const to=[...new Set(eo)].sort((oo,io)=>oo-io),ro=to.length;if(ro<8)return[oo=>{for(let io=0;io<to.length;++io)if(oo===to[io])return!0;return!1},[...to]];const no=[];for(let oo=0,io;oo<ro;oo+=io){const so=to[oo];for(io=1;oo+io<ro&&!(to[oo+io]>so+io);++io);no.push(so,so+io)}if(no.length*1.5<ro){const oo=no.length;return oo<8?[io=>{for(let so=0;so<oo;so+=2){const ao=no[so],lo=no[so+1];if(ao<=io&&io<lo)return!0}return!1},to]:[io=>{let so=0,ao=oo;for(;so<ao;){const lo=so+ao>>>1;io<no[lo]?ao=lo:so=lo+1}return!!(ao&1)},to]}return[oo=>{let io=0,so=ro;for(;io<so;){const ao=io+so>>>1;oo<to[ao]?so=ao:io=ao+1}return so<=0?!1:to[so-1]===oo},[...to]]}function collectCodePointsFromEnum(eo){return Object.values(eo).filter(to=>typeof to=="number")}createCodePointSearcher([AsciiCodePoint.HT,AsciiCodePoint.LF,AsciiCodePoint.VT,AsciiCodePoint.FF,AsciiCodePoint.CR,AsciiCodePoint.SPACE]);const[isAsciiPunctuationCharacter,asciiPunctuationCharacters]=createCodePointSearcher([AsciiCodePoint.EXCLAMATION_MARK,AsciiCodePoint.DOUBLE_QUOTE,AsciiCodePoint.NUMBER_SIGN,AsciiCodePoint.DOLLAR_SIGN,AsciiCodePoint.PERCENT_SIGN,AsciiCodePoint.AMPERSAND,AsciiCodePoint.SINGLE_QUOTE,AsciiCodePoint.OPEN_PARENTHESIS,AsciiCodePoint.CLOSE_PARENTHESIS,AsciiCodePoint.ASTERISK,AsciiCodePoint.PLUS_SIGN,AsciiCodePoint.COMMA,AsciiCodePoint.MINUS_SIGN,AsciiCodePoint.DOT,AsciiCodePoint.SLASH,AsciiCodePoint.COLON,AsciiCodePoint.SEMICOLON,AsciiCodePoint.OPEN_ANGLE,AsciiCodePoint.EQUALS_SIGN,AsciiCodePoint.CLOSE_ANGLE,AsciiCodePoint.QUESTION_MARK,AsciiCodePoint.AT_SIGN,AsciiCodePoint.OPEN_BRACKET,AsciiCodePoint.BACKSLASH,AsciiCodePoint.CLOSE_BRACKET,AsciiCodePoint.CARET,AsciiCodePoint.UNDERSCORE,AsciiCodePoint.BACKTICK,AsciiCodePoint.OPEN_BRACE,AsciiCodePoint.VERTICAL_SLASH,AsciiCodePoint.CLOSE_BRACE,AsciiCodePoint.TILDE]),isAsciiDigitCharacter=eo=>eo>=AsciiCodePoint.DIGIT0&&eo<=AsciiCodePoint.DIGIT9,isAsciiLowerLetter=eo=>eo>=AsciiCodePoint.LOWERCASE_A&&eo<=AsciiCodePoint.LOWERCASE_Z,isAsciiUpperLetter=eo=>eo>=AsciiCodePoint.UPPERCASE_A&&eo<=AsciiCodePoint.UPPERCASE_Z,isAsciiLetter=eo=>isAsciiLowerLetter(eo)||isAsciiUpperLetter(eo),isAlphanumeric=eo=>isAsciiLowerLetter(eo)||isAsciiUpperLetter(eo)||isAsciiDigitCharacter(eo),isAsciiCharacter=eo=>eo>=AsciiCodePoint.NUL&&eo<=AsciiCodePoint.DELETE,[isAsciiControlCharacter,asciiControlCharacters]=createCodePointSearcher([AsciiCodePoint.NUL,AsciiCodePoint.SOH,AsciiCodePoint.STX,AsciiCodePoint.ETX,AsciiCodePoint.EOT,AsciiCodePoint.ENQ,AsciiCodePoint.ACK,AsciiCodePoint.BEL,AsciiCodePoint.BS,AsciiCodePoint.HT,AsciiCodePoint.LF,AsciiCodePoint.VT,AsciiCodePoint.FF,AsciiCodePoint.CR,AsciiCodePoint.SO,AsciiCodePoint.SI,AsciiCodePoint.DLE,AsciiCodePoint.DC1,AsciiCodePoint.DC2,AsciiCodePoint.DC3,AsciiCodePoint.DC4,AsciiCodePoint.NAK,AsciiCodePoint.SYN,AsciiCodePoint.ETB,AsciiCodePoint.CAN,AsciiCodePoint.EM,AsciiCodePoint.SUB,AsciiCodePoint.ESC,AsciiCodePoint.FS,AsciiCodePoint.GS,AsciiCodePoint.RS,AsciiCodePoint.US,AsciiCodePoint.DELETE]),[isWhitespaceCharacter,whitespaceCharacters]=createCodePointSearcher([AsciiCodePoint.VT,AsciiCodePoint.FF,AsciiCodePoint.SPACE,VirtualCodePoint.SPACE,VirtualCodePoint.LINE_END]);AsciiCodePoint.SPACE,VirtualCodePoint.SPACE;const isSpaceCharacter=eo=>eo===AsciiCodePoint.SPACE||eo===VirtualCodePoint.SPACE,isLineEnding=eo=>eo===VirtualCodePoint.LINE_END,[isPunctuationCharacter,punctuationCharacters]=createCodePointSearcher([...asciiPunctuationCharacters,...collectCodePointsFromEnum(UnicodePcCodePoint),...collectCodePointsFromEnum(UnicodePdCodePoint),...collectCodePointsFromEnum(UnicodePeCodePoint),...collectCodePointsFromEnum(UnicodePfCodePoint),...collectCodePointsFromEnum(UnicodePiCodePoint),...collectCodePointsFromEnum(UnicodePoCodePoint),...collectCodePointsFromEnum(UnicodePsCodePoint)]),isSpaceLike=eo=>isSpaceCharacter(eo)||isLineEnding(eo),[isUnicodeWhitespaceCharacter,unicodeWhitespaceCharacters]=createCodePointSearcher([AsciiCodePoint.HT,AsciiCodePoint.LF,AsciiCodePoint.FF,AsciiCodePoint.CR,VirtualCodePoint.SPACE,VirtualCodePoint.LINE_END,...collectCodePointsFromEnum(UnicodeZsCodePoint)]);var UnicodeCodePoint;(function(eo){eo[eo.REPLACEMENT_CHARACTER=65533]="REPLACEMENT_CHARACTER"})(UnicodeCodePoint||(UnicodeCodePoint={}));function createEntityReferenceTrie(){const eo=(oo,io)=>{if(oo.length<=4){for(let lo=0;lo<oo.length;++lo)if(oo[lo].key>=io)return lo;return oo.length}let so=0,ao=oo.length;for(;so<ao;){const lo=so+ao>>>1;oo[lo].key<io?so=lo+1:ao=lo}return so},to={key:0,children:[]};return{insert:(oo,io)=>{let so=to;for(const ao of oo){const lo=eo(so.children,ao);if(lo>=so.children.length){const co={key:ao,children:[]};so.children.push(co),so=co;continue}let uo=so.children[lo];if(uo.key===ao){so=uo;continue}uo={key:ao,children:[]},so.children.splice(lo,0,uo),so=uo}so.value=io},search:(oo,io,so)=>{let ao=to;for(let lo=io;lo<so;++lo){const uo=oo[lo].codePoint,co=eo(ao.children,uo);if(co>=ao.children.length)return null;const fo=ao.children[co];if(fo.key!==uo)return null;if(fo.value!=null)return{nextIndex:lo+1,value:fo.value};ao=fo}return null}}}const entityReferenceTrie=createEntityReferenceTrie();entityReferences.forEach(eo=>entityReferenceTrie.insert(eo.key,eo.value));function eatEntityReference(eo,to,ro){if(to+1>=ro)return null;const no=entityReferenceTrie.search(eo,to,ro);if(no!=null)return no;if(eo[to].codePoint!==AsciiCodePoint.NUMBER_SIGN)return null;let oo=0,io=to+1;if(eo[io].codePoint===AsciiCodePoint.LOWERCASE_X||eo[io].codePoint===AsciiCodePoint.UPPERCASE_X){io+=1;for(let ao=1;ao<=6&&io<ro;++ao,++io){const lo=eo[io].codePoint;if(isAsciiDigitCharacter(lo)){oo=(oo<<4)+(lo-AsciiCodePoint.DIGIT0);continue}if(lo>=AsciiCodePoint.UPPERCASE_A&&lo<=AsciiCodePoint.UPPERCASE_F){oo=(oo<<4)+(lo-AsciiCodePoint.UPPERCASE_A+10);continue}if(lo>=AsciiCodePoint.LOWERCASE_A&&lo<=AsciiCodePoint.LOWERCASE_F){oo=(oo<<4)+(lo-AsciiCodePoint.LOWERCASE_A+10);continue}break}}else for(let ao=1;ao<=7&&io<ro;++ao,++io){const lo=eo[io].codePoint;if(!isAsciiDigitCharacter(lo))break;oo=oo*10+(lo-AsciiCodePoint.DIGIT0)}if(io>=ro||eo[io].codePoint!==AsciiCodePoint.SEMICOLON)return null;let so;try{oo===0&&(oo=UnicodeCodePoint.REPLACEMENT_CHARACTER),so=String.fromCodePoint(oo)}catch{so=String.fromCodePoint(UnicodeCodePoint.REPLACEMENT_CHARACTER)}return{nextIndex:io+1,value:so}}function foldCase(eo){return Array.from(eo).map(to=>foldingCaseCodeMap[to]??to).join("")}(()=>{try{const eo=new RegExp("\\p{Script=Han}|[\\u{3002}\\u{ff1f}\\u{ff01}\\u{ff0c}\\u{3001}\\u{ff1b}\\u{ff1a}\\u{201c}\\u{201d}\\u{2018}\\u{2019}\\u{ff08}\\u{ff09}\\u{300a}\\u{300b}\\u{3008}\\u{3009}\\u{3010}\\u{3011}\\u{300e}\\u{300f}\\u{300c}\\u{300d}\\u{fe43}\\u{fe44}\\u{3014}\\u{3015}\\u{2026}\\u{2014}\\u{ff5e}\\u{fe4f}\\u{ffe5}]","u").source,to=new RegExp(`(${eo})\\n+(${eo})`,"gu");return ro=>ro.replace(to,"$1$2")}catch{const eo=/[\u{4E00}-\u{9FCC}\u{3400}-\u{4DB5}\u{FA0E}\u{FA0F}\u{FA11}\u{FA13}\u{FA14}\u{FA1F}\u{FA21}\u{FA23}\u{FA24}\u{FA27}-\u{FA29}]|[\u{d840}-\u{d868}][\u{dc00}-\u{dfff}]|\u{d869}[\u{dc00}-\u{ded6}\u{df00}-\u{dfff}]|[\u{d86a}-\u{d86c}][\u{dc00}-\u{dfff}]|\u{d86d}[\u{dc00}-\u{df34}\u{df40}-\u{dfff}]|\u{d86e}[\u{dc00}-\u{dc1d}]/u.source,to=new RegExp(`(${eo})\\n+(${eo})`,"gu");return ro=>ro.replace(to,"$1$2")}})();(()=>{try{const eo=new RegExp("\\p{Script=Han}|[\\u{3002}\\u{ff1f}\\u{ff01}\\u{ff0c}\\u{3001}\\u{ff1b}\\u{ff1a}\\u{201c}\\u{201d}\\u{2018}\\u{2019}\\u{ff08}\\u{ff09}\\u{300a}\\u{300b}\\u{3008}\\u{3009}\\u{3010}\\u{3011}\\u{300e}\\u{300f}\\u{300c}\\u{300d}\\u{fe43}\\u{fe44}\\u{3014}\\u{3015}\\u{2026}\\u{2014}\\u{ff5e}\\u{fe4f}\\u{ffe5}]","u").source,to=new RegExp(`(${eo})[\\s\\n]+(${eo})`,"gu");return ro=>ro.replace(to,"$1$2")}catch{const eo=/[\u{4E00}-\u{9FCC}\u{3400}-\u{4DB5}\u{FA0E}\u{FA0F}\u{FA11}\u{FA13}\u{FA14}\u{FA1F}\u{FA21}\u{FA23}\u{FA24}\u{FA27}-\u{FA29}]|[\u{d840}-\u{d868}][\u{dc00}-\u{dfff}]|\u{d869}[\u{dc00}-\u{ded6}\u{df00}-\u{dfff}]|[\u{d86a}-\u{d86c}][\u{dc00}-\u{dfff}]|\u{d86d}[\u{dc00}-\u{df34}\u{df40}-\u{dfff}]|\u{d86e}[\u{dc00}-\u{dc1d}]/u.source,to=new RegExp(`(${eo})[\\s\\n]+(${eo})`,"gu");return ro=>ro.replace(to,"$1$2")}})();function*createNodePointGenerator(eo){let to=0,ro=1,no=1;const oo=typeof eo=="string"?[eo]:eo;for(const io of oo){const so=[];for(const uo of io){const co=uo.codePointAt(0);so.push(co)}const ao=[],lo=so.length;for(let uo=0;uo<lo;++uo){const co=so[uo];switch(co){case AsciiCodePoint.HT:for(let fo=0;fo<4;++fo)ao.push({line:no,column:ro,offset:to,codePoint:VirtualCodePoint.SPACE});to+=1,ro+=1;break;case AsciiCodePoint.LF:ao.push({line:no,column:ro,offset:to,codePoint:VirtualCodePoint.LINE_END}),to+=1,ro=1,no+=1;break;case AsciiCodePoint.CR:ao.push({line:no,column:ro,offset:to,codePoint:VirtualCodePoint.LINE_END}),to+=1,ro=1,no+=1,uo+1<lo&&so[uo+1]===AsciiCodePoint.LF&&(to+=1,uo+=1);break;case AsciiCodePoint.NUL:ao.push({line:no,column:ro,offset:to,codePoint:UnicodeCodePoint.REPLACEMENT_CHARACTER}),to+=1,ro+=1;break;default:ao.push({line:no,column:ro,offset:to,codePoint:co}),to+=1,ro+=1;break}}yield ao}}function calcStringFromNodePoints(eo,to=0,ro=eo.length,no=!1){no&&([to,ro]=calcTrimBoundaryOfCodePoints(eo,to,ro));let oo="";for(let io=to,so;io<ro;++io){const ao=eo[io].codePoint;switch(ao){case VirtualCodePoint.SPACE:{for(so=io+1;so<ro&&eo[so].codePoint===VirtualCodePoint.SPACE;++so);const lo=so-io>>2,uo=so-io&3;for(let co=0;co<uo;++co)oo+=" ";for(let co=0;co<lo;++co)oo+="	";io=so-1;break}case VirtualCodePoint.LINE_END:{oo+=`
+`;break}default:oo+=String.fromCodePoint(ao)}}return oo}function calcEscapedStringFromNodePoints(eo,to=0,ro=eo.length,no=!1){no&&([to,ro]=calcTrimBoundaryOfCodePoints(eo,to,ro));let oo="";for(let io=to,so;io<ro;++io){const ao=eo[io].codePoint;if(ao===AsciiCodePoint.BACKSLASH&&io+1<ro){const lo=eo[io+1].codePoint;isAsciiPunctuationCharacter(lo)?(io+=1,oo+=String.fromCodePoint(lo)):oo+="\\";continue}switch(ao){case VirtualCodePoint.SPACE:{for(so=io+1;so<ro&&eo[so].codePoint===VirtualCodePoint.SPACE;++so);const lo=so-io>>2,uo=so-io&3;for(let co=0;co<uo;++co)oo+=" ";for(let co=0;co<lo;++co)oo+="	";io=so-1;break}case VirtualCodePoint.LINE_END:{oo+=`
+`;break}case AsciiCodePoint.AMPERSAND:{const lo=eatEntityReference(eo,io+1,ro);lo==null?oo+="&":(oo+=lo.value,io=lo.nextIndex-1);break}default:oo+=String.fromCodePoint(ao)}}return oo}function calcTrimBoundaryOfCodePoints(eo,to=0,ro=eo.length){let no=to,oo=ro-1;for(;no<=oo;++no){const io=eo[no];if(!isWhitespaceCharacter(io.codePoint))break}for(;no<=oo;--oo){const io=eo[oo];if(!isWhitespaceCharacter(io.codePoint))break}return[no,oo+1]}function createNodeMatcher(eo){if(eo==null)return()=>!0;if(eo instanceof Function)return eo;if(eo.length===0)return()=>!1;if(eo.length===1){const to=eo[0];return ro=>ro.type===to}if(eo.length===2){const[to,ro]=eo;return no=>no.type===to||no.type===ro}return to=>{for(const ro of eo)if(to.type===ro)return!0;return!1}}function traverseAst(eo,to,ro){const no=createNodeMatcher(to),oo=io=>{const{children:so}=io;for(let ao=0;ao<so.length;++ao){const lo=so[ao];no(lo)&&ro(lo,io,ao),lo.children!=null&&oo(lo)}};oo(eo)}const calcDefinitionMap=(eo,to=[DefinitionType],ro=[])=>{const no={};traverseAst(eo,to,so=>{const ao=so;no[ao.identifier]===void 0&&(no[ao.identifier]=ao)});const oo=[];for(const so of ro)no[so.identifier]===void 0&&(no[so.identifier]=so,oo.push(so));return{root:oo.length>0?{...eo,children:eo.children.concat(oo)}:eo,definitionMap:no}},astClasses=mergeStyleSets({root:{"--colorBgBlockquote":"none","--colorBgTableHead":"hsl(0deg, 0%, 94%)","--colorBgTableEvenRow":"hsl(0deg, 0%, 96%)","--colorBgTableOddRow":"hsl(0deg, 0%, 100%)","--colorBorderBlockquote":"hsl(210deg, 13%, 85%)","--colorBorderHeading":"hsl(0deg, 0%, 80%)","--colorBorderImage":"hsl(277deg, 19%, 47%)","--colorBorderTable":"hsl(220deg, 7%, 90%)","--colorBgCode":"#f5f7f9","--colorDelete":"hsl(210deg, 8%, 65%)","--colorHeading":"hsl(0deg, 0%, 25%)","--colorImageTitle":"hsl(0deg, 0%, 50%)","--colorInlineCode":"hsl(348deg, 60%, 47%)","--colorLink":"hsl(206deg, 53%, 47%)","--colorLinkActive":"hsl(206deg, 53%, 52%)","--colorLinkHover":"hsl(206deg, 53%, 52%)","--colorLinkVisited":"hsl(206deg, 53%, 47%)","--fontFamilyCode":"Consolas, 'Source Code Pro', 'Roboto Mono', monospace, sans-serif","--fontFamilyHeading":"Consolas, 'Source Code Pro', 'Roboto Mono', monospace, sans-serif"},rootDarken:{"&&":{"--colorBgBlockquote":"none","--colorBgTableHead":"hsl(200deg, 10%, 16%)","--colorBgTableEvenRow":"hsl(200deg, 10%, 16%)","--colorBgTableOddRow":"hsl(0deg, 0%, 9%)","--colorBorderBlockquote":"hsl(207deg, 7%, 45%)","--colorBorderHeading":"hsla(0deg, 0%, 30%, 0.8)","--colorBorderImage":"hsl(290deg, 15%, 49%)","--colorBorderTable":"hsl(0deg, 0%, 50%)","--colorBgCode":"hsl(0deg, 0%, 12%)","--colorDelete":"hsl(220deg, 5%, 68%)","--colorHeading":"hsl(0deg, 0%, 65%)","--colorImageTitle":"hsl(0deg, 0%, 50%)","--colorInlineCode":"hsl(348deg, 70%, 52%)","--colorLink":"hsl(207deg, 53%, 50%)","--colorLinkActive":"hsl(207deg, 53%, 50%)","--colorLinkHover":"hsl(207deg, 53%, 50%)","--colorLinkVisited":"hsl(207deg, 53%, 50%)","--fontFamilyCode":"Consolas, 'Source Code Pro', 'Roboto Mono', monospace, sans-serif","--fontFamilyHeading":"Consolas, 'Source Code Pro', 'Roboto Mono', monospace, sans-serif"}},blockquote:{},break:{},code:{},delete:{},emphasis:{},heading:{},image:{},imageReference:{},inlineCode:{},link:{},linkReference:{},list:{},listItem:{},paragraph:{},strong:{},table:{},text:{},thematicBreak:{}}),NodeRendererContextType=React.createContext(null);NodeRendererContextType.displayName="NodeRendererContextType";const useNodeRendererContext=()=>React.useContext(NodeRendererContextType);class SafeBatchHandler{constructor(){Ws(this,"_errors");Ws(this,"_summary");this._errors=[],this._summary=void 0}cleanup(){this._errors.length=0,this._summary=void 0}run(to){try{to()}catch(ro){this._errors.push(ro),this._summary=void 0}}summary(to){if(this._summary===void 0){if(this._errors.length===1)throw this._summary=this._errors[0];this._errors.length>1&&(this._summary=new AggregateError(this._errors,to))}if(this._summary!==void 0)throw this._summary}}function disposeAll(eo){const to=new SafeBatchHandler;for(const ro of eo)to.run(()=>ro.dispose());to.summary("[disposeAll] Encountered errors while disposing"),to.cleanup()}class BatchDisposable{constructor(){Ws(this,"_disposed");Ws(this,"_disposables");this._disposed=!1,this._disposables=[]}get disposed(){return this._disposed}dispose(){if(!this._disposed){this._disposed=!0;try{disposeAll(this._disposables)}finally{this._disposables.length=0}}}registerDisposable(to){to.disposed||(this._disposed?to.dispose():this._disposables.push(to))}}class Disposable{constructor(to){Ws(this,"_onDispose");Ws(this,"_disposed");this._onDispose=to,this._disposed=!1}get disposed(){return this._disposed}dispose(){this._disposed||(this._disposed=!0,this._onDispose())}}function isDisposable(eo){return eo===null||typeof eo!="object"?!1:typeof Reflect.get(eo,"dispose")=="function"&&typeof Reflect.get(eo,"disposed")=="boolean"}const noop$1=()=>{};class Subscriber{constructor(to){Ws(this,"_onDispose");Ws(this,"_onNext");Ws(this,"_disposed");this._onDispose=(to==null?void 0:to.onDispose)??noop$1,this._onNext=to.onNext,this._disposed=!1}get disposed(){return this._disposed}dispose(){this._disposed||(this._disposed=!0,this._onDispose())}next(to,ro){this._disposed||this._onNext(to,ro)}}const noopUnsubscribable$1={unsubscribe:()=>{}};class Subscribers{constructor(to={}){Ws(this,"ARRANGE_THRESHOLD");Ws(this,"_disposed");Ws(this,"_items");Ws(this,"_subscribingCount");this.ARRANGE_THRESHOLD=to.ARRANGE_THRESHOLD??16,this._disposed=!1,this._items=[],this._subscribingCount=0}get size(){return this._subscribingCount}get disposed(){return this._disposed}dispose(){if(this._disposed)return;this._disposed=!0;const to=new SafeBatchHandler,ro=this._items;for(let no=0;no<ro.length;++no){const oo=ro[no];oo.unsubscribed||(oo.unsubscribed=!0,!oo.subscriber.disposed&&to.run(()=>oo.subscriber.dispose()))}ro.length=0,this._subscribingCount=0,to.summary("Encountered errors while disposing."),to.cleanup()}notify(to,ro){if(this._disposed)return;const no=new SafeBatchHandler,oo=this._items;for(let io=0,so=oo.length;io<so;++io){const ao=oo[io];ao.unsubscribed||ao.subscriber.disposed||no.run(()=>ao.subscriber.next(to,ro))}no.summary("Encountered errors while notifying subscribers."),no.cleanup()}subscribe(to){if(to.disposed)return noopUnsubscribable$1;if(this.disposed)return to.dispose(),noopUnsubscribable$1;const ro={subscriber:to,unsubscribed:!1};return this._items.push(ro),this._subscribingCount+=1,{unsubscribe:()=>{ro.unsubscribed||(ro.unsubscribed=!0,this._subscribingCount-=1,this._arrange())}}}_arrange(){const to=this._items;if(to.length>=this.ARRANGE_THRESHOLD&&this._subscribingCount*2<=to.length){const ro=[];for(let no=0;no<to.length;++no){const oo=to[no];oo.unsubscribed||oo.subscriber.disposed||ro.push(oo)}this._items=ro,this._subscribingCount=ro.length}}}const noop=(...eo)=>{},noopUnsubscribable={unsubscribe:noop},noopUnobservable={unobserve:noop},isObservable=eo=>eo===null||typeof eo!="object"?!1:typeof Reflect.get(eo,"dispose")=="function"&&typeof Reflect.get(eo,"disposed")=="boolean"&&typeof Reflect.get(eo,"subscribe")=="function"&&typeof Reflect.get(eo,"equals")=="function"&&typeof Reflect.get(eo,"getSnapshot")=="function"&&typeof Reflect.get(eo,"next")=="function",defaultEquals=(eo,to)=>Object.is(eo,to);class Observable extends BatchDisposable{constructor(ro,no={}){super();Ws(this,"equals");Ws(this,"_delay");Ws(this,"_subscribers");Ws(this,"_value");Ws(this,"_updateTick");Ws(this,"_notifyTick");Ws(this,"_lastNotifiedValue");Ws(this,"_timer");const{equals:oo=defaultEquals}=no;this._delay=Math.max(0,Number(no.delay)||0),this._subscribers=new Subscribers,this._value=ro,this._updateTick=0,this._notifyTick=0,this._lastNotifiedValue=void 0,this._timer=void 0,this.equals=oo}dispose(){this.disposed||(super.dispose(),this._flush(),this._subscribers.dispose())}getSnapshot(){return this._value}next(ro,no){if(this.disposed){if((no==null?void 0:no.strict)??!0)throw new RangeError(`Don't update a disposed observable. value: ${String(ro)}.`);return}!((no==null?void 0:no.force)??!1)&&this.equals(ro,this._value)||(this._value=ro,this._updateTick+=1,this._notify())}subscribe(ro){if(ro.disposed)return noopUnsubscribable;const no=this._lastNotifiedValue,oo=this._value;return this.disposed?(ro.next(oo,no),ro.dispose(),noopUnsubscribable):(this._flush(),ro.next(oo,no),this._subscribers.subscribe(ro))}_flush(){this._notifyTick<this._updateTick&&(this._timer!==void 0&&(clearTimeout(this._timer),this._timer=void 0),this._notifyImmediate())}_notify(){if(this._notifyTick<this._updateTick){if(this._delay<=0){this._notifyImmediate();return}this._timer===void 0&&(this._timer=setTimeout(()=>{try{this._notifyImmediate()}finally{this._timer=void 0}this._notify()},this._delay))}}_notifyImmediate(){const ro=this._lastNotifiedValue,no=this._value;this._lastNotifiedValue=no,this._notifyTick=this._updateTick,this._subscribers.notify(no,ro)}}const equals=(eo,to)=>eo===to;class Ticker extends Observable{constructor(to={}){const{start:ro=0,delay:no}=to;super(ro,{delay:no,equals})}tick(to){this.next(this._value+1,to)}observe(to,ro){if(this.disposed){if((ro==null?void 0:ro.strict)??!0)throw new RangeError("[Ticker.observe] the ticker has been disposed.");return noopUnobservable}if(to.disposed)return noopUnobservable;const no=new Subscriber({onNext:()=>this.tick()}),oo=to.subscribe(no),io=new Disposable(()=>{no.dispose(),oo.unsubscribe()});return this.registerDisposable(io),{unobserve:()=>io.dispose()}}}class Computed{constructor(to){Ws(this,"_observable");Ws(this,"getSnapshot",()=>this._observable.getSnapshot());Ws(this,"getServerSnapshot",()=>this._observable.getSnapshot());Ws(this,"subscribeStateChange",to=>{const ro=new Subscriber({onNext:()=>to()}),no=this._observable.subscribe(ro),oo=new Disposable(()=>{ro.dispose(),no.unsubscribe()});return this._observable.registerDisposable(oo),()=>oo.dispose()});this._observable=to}static fromObservables(to,ro,no){const oo=new Ticker;for(const lo of to)oo.observe(lo);const io=()=>{const lo=to.map(uo=>uo.getSnapshot());return ro(lo)},so=new Observable(io(),no);so.registerDisposable(oo);const ao=new Subscriber({onNext:()=>so.next(io())});return oo.subscribe(ao),new Computed(so)}get disposed(){return this._observable.disposed}dispose(){this._observable.disposed||this._observable.dispose()}registerDisposable(to){this._observable.registerDisposable(to)}subscribe(to){return this._observable.subscribe(to)}}class State extends Observable{constructor(){super(...arguments);Ws(this,"getSnapshot",()=>super.getSnapshot());Ws(this,"getServerSnapshot",()=>super.getSnapshot());Ws(this,"setState",ro=>{const no=this.getSnapshot(),oo=ro(no);super.next(oo)});Ws(this,"subscribeStateChange",ro=>{const no=new Subscriber({onNext:()=>ro()}),oo=super.subscribe(no),io=new Disposable(()=>{no.dispose(),oo.unsubscribe()});return this.registerDisposable(io),()=>io.dispose()})}}class ViewModel extends BatchDisposable{constructor(){super();Ws(this,"_tickerMap");this._tickerMap=new Map}dispose(){if(!this.disposed){super.dispose();for(const ro of Reflect.ownKeys(this))if(typeof ro=="string"&&ro.endsWith("$")){const no=this[ro];isDisposable(no)&&no.dispose()}for(const ro of this._tickerMap.values())ro.ticker.dispose();this._tickerMap.clear()}}ticker(ro){const no=Array.from(new Set(ro)).sort(),oo=no.join("|");let io=this._tickerMap.get(oo);if(io===void 0){const so=new Ticker;io={keys:no,ticker:so},this.registerDisposable(so),this._tickerMap.set(oo,io);for(const ao of no){const lo=this[ao];if(!isObservable(lo)){console.warn("[ViewModel.ticker] not an observable, key:",ao,"val:",lo);continue}so.observe(lo)}}return io}}class ReactMarkdownViewModel extends ViewModel{constructor(to){super(),this.preferCodeWrap$=new State(!1);const{definitionMap:ro,rendererMap:no,showCodeLineno:oo,themeScheme:io}=to;this.definitionMap$=new State(ro),this.rendererMap$=new State(no),this.showCodeLineno$=new State(oo),this.themeScheme$=new State(io)}}function useSyncExternalStore$2(eo,to,ro){const no=to(),[{inst:oo},io]=reactExports.useState({inst:{value:no,getSnapshot:to}});return reactExports.useLayoutEffect(()=>{oo.value=no,oo.getSnapshot=to,checkIfSnapshotChanged(oo)&&io({inst:oo})},[eo,no,to]),reactExports.useEffect(()=>(checkIfSnapshotChanged(oo)&&io({inst:oo}),eo(()=>{checkIfSnapshotChanged(oo)&&io({inst:oo})})),[eo]),reactExports.useDebugValue(no),no}function checkIfSnapshotChanged(eo){const to=eo.getSnapshot,ro=eo.value;try{const no=to();return!Object.is(ro,no)}catch{return!0}}function useSyncExternalStore$1(eo,to,ro){return to()}const canUseDOM=typeof window<"u"&&typeof window.document<"u"&&typeof window.document.createElement<"u",shim=canUseDOM?useSyncExternalStore$2:useSyncExternalStore$1,builtin=reactExports.useSyncExternalStore,useSyncExternalStore=builtin||shim;function useStateValue(eo){const{getSnapshot:to,getServerSnapshot:ro,subscribeStateChange:no}=eo;return useSyncExternalStore(no,to,ro)}const NodesRenderer=eo=>{const{nodes:to}=eo,{viewmodel:ro}=useNodeRendererContext(),no=useStateValue(ro.rendererMap$);return!Array.isArray(to)||to.length<=0?jsxRuntimeExports.jsx(React.Fragment,{}):jsxRuntimeExports.jsx(NodesRendererInner,{nodes:to,rendererMap:no})};class NodesRendererInner extends React.Component{shouldComponentUpdate(to){const ro=this.props;return!lodashExports.isEqual(ro.nodes,to.nodes)||ro.rendererMap!==to.rendererMap}render(){const{nodes:to,rendererMap:ro}=this.props;return jsxRuntimeExports.jsx(React.Fragment,{children:to.map((no,oo)=>{const io=`${no.type}-${oo}`,so=ro[no.type]??ro._fallback;return jsxRuntimeExports.jsx(so,{...no},io)})})}}var TokenizerType;(function(eo){eo.BLOCK="block",eo.INLINE="inline"})(TokenizerType||(TokenizerType={}));var TokenizerPriority;(function(eo){eo[eo.ATOMIC=10]="ATOMIC",eo[eo.FENCED_BLOCK=10]="FENCED_BLOCK",eo[eo.CONTAINING_BLOCK=10]="CONTAINING_BLOCK",eo[eo.INTERRUPTABLE_BLOCK=2]="INTERRUPTABLE_BLOCK",eo[eo.IMAGES=4]="IMAGES",eo[eo.LINKS=3]="LINKS",eo[eo.CONTAINING_INLINE=2]="CONTAINING_INLINE",eo[eo.SOFT_INLINE=1]="SOFT_INLINE",eo[eo.FALLBACK=-1]="FALLBACK"})(TokenizerPriority||(TokenizerPriority={}));class BaseInlineTokenizer{constructor(to){Ws(this,"type",TokenizerType.INLINE);Ws(this,"name");Ws(this,"priority");this.name=to.name,this.priority=to.priority}toString(){return this.name}}function*genFindDelimiter(eo){let to=-1,ro=null;for(;;){const[no,oo]=yield ro;to===oo&&(ro==null||ro.startIndex>=no)||(to=oo,ro=eo(no,oo))}}class BaseBlockTokenizer{constructor(to){Ws(this,"type",TokenizerType.BLOCK);Ws(this,"name");Ws(this,"priority");this.name=to.name,this.priority=to.priority}extractPhrasingContentLines(to){return null}buildBlockToken(to,ro){return null}toString(){return this.name}}function calcStartPoint(eo,to){const{line:ro,column:no,offset:oo}=eo[to];return{line:ro,column:no,offset:oo}}function calcEndPoint(eo,to){const{line:ro,column:no,offset:oo}=eo[to];return{line:ro,column:no+1,offset:oo+1}}function calcPositionFromPhrasingContentLines(eo){const to=eo[0],ro=eo[eo.length-1];return{start:calcStartPoint(to.nodePoints,to.startIndex),end:calcEndPoint(ro.nodePoints,ro.endIndex-1)}}function mergeContentLinesFaithfully(eo,to=0,ro=eo.length){if(to>=ro||to<0||ro>eo.length)return[];const no=[];for(let oo=to;oo<ro;++oo){const{nodePoints:io,startIndex:so,endIndex:ao}=eo[oo];for(let lo=so;lo<ao;++lo)no.push(io[lo])}return no}function mergeAndStripContentLines(eo,to=0,ro=eo.length){const no=[];if(to>=ro||to<0||ro>eo.length)return[];for(let lo=to;lo+1<ro;++lo){const{nodePoints:uo,endIndex:co,firstNonWhitespaceIndex:fo}=eo[lo];for(let ho=fo;ho<co;++ho)no.push(uo[ho])}const{nodePoints:oo,endIndex:io,firstNonWhitespaceIndex:so}=eo[ro-1];let ao=io-1;for(;ao>=0;--ao){const lo=oo[ao];if(!isWhitespaceCharacter(lo.codePoint))break}for(let lo=so;lo<=ao;++lo)no.push(oo[lo]);return no}function encodeLinkDestination(eo){let to=eo;for(;;)try{const ro=decodeURIComponent(to);if(ro===to)break;to=ro}catch{break}return encodeURI(to)}function resolveLabelToIdentifier(eo){const to=eo.trim().replace(/\s+/gu," ").toLowerCase();return foldCase(to)}function resolveLinkLabelAndIdentifier(eo,to,ro){const no=calcStringFromNodePoints(eo,to,ro,!0);if(no.length<=0)return null;const oo=resolveLabelToIdentifier(no);return{label:no,identifier:oo}}function eatLinkLabel(eo,to,ro){let no=to+1;const oo=Math.min(no+1e3,ro);for(;no<oo;++no)switch(eo[no].codePoint){case AsciiCodePoint.BACKSLASH:no+=1;break;case AsciiCodePoint.OPEN_BRACKET:return{nextIndex:-1,labelAndIdentifier:null};case AsciiCodePoint.CLOSE_BRACKET:{const so=resolveLinkLabelAndIdentifier(eo,to+1,no);return{nextIndex:no+1,labelAndIdentifier:so}}}return{nextIndex:-1,labelAndIdentifier:null}}function isLinkToken(eo){return eo.nodeType===LinkType||eo.nodeType===LinkReferenceType}function eatOptionalCharacters(eo,to,ro,no){let oo=to;for(;oo<ro&&eo[oo].codePoint===no;)oo+=1;return oo}function eatOptionalWhitespaces(eo,to,ro){let no=to;for(;no<ro&&isWhitespaceCharacter(eo[no].codePoint);)no+=1;return no}function eatOptionalBlankLines(eo,to,ro){let no=to;for(let oo=to;oo<ro;++oo){const io=eo[oo].codePoint;if(!isSpaceCharacter(io)){if(isLineEnding(io)){no=oo+1;continue}break}}return no}function trimBlankLines(eo){if(eo.length<=0)return[];let to=0;for(;to<eo.length;++to){const no=eo[to];if(no.firstNonWhitespaceIndex<no.endIndex)break}let ro=eo.length-1;for(;ro>to;--ro){const no=eo[ro];if(no.firstNonWhitespaceIndex<no.endIndex)break}return to>ro?[]:eo.slice(to,ro+1)}const prefix$1="Invariant failed";function invariant(eo,to){if(!eo)throw new Error(prefix$1)}const createBlockContentProcessor=(eo,to)=>{const ro={_tokenizer:"root",nodeType:"root",position:{start:{line:1,column:1,offset:0},end:{line:1,column:1,offset:0}},children:[]},no=[];no.push({hook:{isContainingBlock:!0},token:ro});let oo=0;const io=po=>{for(let go=oo;go>=0;--go){const vo=no[go];vo.token.position.end={...po}}},so=(po,go)=>{if(go.length<=0)return null;const vo=eo.filter(xo=>xo!==po),bo=createBlockContentProcessor(vo,to);for(const xo of go)bo.consume(xo);return bo},ao=()=>{const po=no.pop();if(po!=null){if(no.length>0){const go=no[no.length-1];if(po.hook.onClose!=null){const vo=po.hook.onClose(po.token);if(vo!=null)switch(vo.status){case"closingAndRollback":{const bo=so(po.hook,vo.lines);if(bo==null)break;const xo=bo.done();go.token.children.push(...xo.children);break}case"failedAndRollback":{go.token.children.pop();const bo=so(po.hook,vo.lines);if(bo==null)break;const xo=bo.done();go.token.children.push(...xo.children);break}}}}return oo>=no.length&&(oo=no.length-1),po}},lo=po=>{for(;no.length>po;)ao()},uo=(po,go,vo)=>{lo(oo+1),no[oo].token.children.push(go),io(go.position.end),oo+=1,no.push({hook:po,token:go}),vo&&ao()},co=(po,go,vo)=>{const bo=so(po,go);if(bo==null)return!1;const xo=bo.shallowSnapshot(),_o=xo[0];_o.token.children!=null&&vo.token.children.push(..._o.token.children),io(_o.token.position.end);for(let Eo=1;Eo<xo.length;++Eo){const So=xo[Eo];no.push(So)}return oo=no.length-1,!0};return{consume:po=>{const{nodePoints:go,startIndex:vo,endIndex:bo}=po;let{firstNonWhitespaceIndex:xo,countOfPrecedeSpaces:_o,startIndex:Eo}=po;const So=()=>({nodePoints:go,startIndex:Eo,endIndex:bo,firstNonWhitespaceIndex:xo,countOfPrecedeSpaces:_o}),To=(No,Mo)=>{if(invariant(Eo<=No),Mo){const Do=calcEndPoint(go,No-1);io(Do)}if(Eo!==No)for(Eo=No,_o=0,xo=No;xo<bo;++xo){const Do=go[xo].codePoint;if(isSpaceCharacter(Do)){_o+=1;continue}if(!isWhitespaceCharacter(Do))break}},wo=(No,Mo)=>{const{token:Do}=no[oo],jo=No.eatOpener(Mo,Do);if(jo==null)return!1;invariant(jo.nextIndex>Eo,`[consumeNewOpener] The marker of the new data node cannot be empty.
+ tokenizer(${jo.token._tokenizer})`),To(jo.nextIndex,!1);const Fo=jo.token;return Fo._tokenizer=No.name,uo(No,Fo,!!jo.saturated),!0},Co=(No,Mo)=>{if(No.eatAndInterruptPreviousSibling==null)return!1;const{hook:Do,token:jo}=no[oo],{token:Fo}=no[oo-1];if(No.priority<=Do.priority)return!1;const $o=No.eatAndInterruptPreviousSibling(Mo,jo,Fo);if($o==null)return!1;lo(oo),Fo.children.pop(),$o.remainingSibling!=null&&(Array.isArray($o.remainingSibling)?Fo.children.push(...$o.remainingSibling):Fo.children.push($o.remainingSibling)),To($o.nextIndex,!1);const Lo=$o.token;return Lo._tokenizer=No.name,uo(No,Lo,!!$o.saturated),!0},Oo=()=>{if(oo=1,no.length<2)return;let{token:No}=no[oo-1];for(;Eo<bo&&oo<no.length;){const Mo=no[oo],Do=Mo.hook,jo=So();if(eo.some(Ho=>Ho!==Do&&Co(Ho,jo)))break;const Fo=Do.eatContinuationText==null?{status:"notMatched"}:Do.eatContinuationText(jo,Mo.token,No);let $o=!1,Lo=!1;switch(Fo.status){case"failedAndRollback":{if(No.children.pop(),no.length=oo,oo-=1,Fo.lines.length>0){const Ho=no[oo];if(co(Do,Fo.lines,Ho)){Lo=!0;break}}$o=!0;break}case"closingAndRollback":{if(lo(oo),Fo.lines.length>0){const Ho=no[oo];if(co(Do,Fo.lines,Ho)){Lo=!0;break}}$o=!0;break}case"notMatched":{oo-=1,$o=!0;break}case"closing":{To(Fo.nextIndex,!0),oo-=1,$o=!0;break}case"opening":{To(Fo.nextIndex,!0);break}default:throw new TypeError(`[eatContinuationText] unexpected status (${Fo.status}).`)}if($o)break;Lo||(oo+=1,No=Mo.token)}},Ao=()=>{if(!(Eo>=bo)){if(oo<no.length){if(no[no.length-1].hook.eatLazyContinuationText!=null&&So().countOfPrecedeSpaces>=4)return}else oo=no.length-1;for(;Eo<bo&&no[oo].hook.isContainingBlock;){let No=!1;const Mo=So();for(const Do of eo)if(wo(Do,Mo)){No=!0;break}if(!No)break}}},Ro=()=>{if(Eo>=bo||oo+1>=no.length)return!1;const{hook:No,token:Mo}=no[no.length-1];if(No.eatLazyContinuationText==null)return!1;const{token:Do}=no[no.length-2],jo=So(),Fo=No.eatLazyContinuationText(jo,Mo,Do);switch(Fo.status){case"notMatched":return!1;case"opening":return oo=no.length-1,To(Fo.nextIndex,!0),oo=no.length-1,!0;default:throw new TypeError(`[eatLazyContinuationText] unexpected status (${Fo.status}).`)}};if(Oo(),Ao(),Ro()||lo(oo+1),to!=null&&Eo<bo){const No=So();wo(to,No)}invariant(xo>=bo)},done:()=>{for(;no.length>1;)ao();return ro},shallowSnapshot:()=>[...no]}},createSinglePriorityDelimiterProcessor=()=>{let eo=0;const to=[],ro=[],no=[],oo=fo=>{let ho=fo-1;for(;ho>=0&&ro[ho].inactive;)ho-=1;ro.length=ho+1},io=(fo,ho)=>{ro.push({hook:fo,delimiter:ho,inactive:!1,tokenStackIndex:no.length})},so=(fo,ho)=>{if(ro.length<=0)return null;let po=null;for(let go=ro.length-1;go>=0;--go){if(po=ro[go],po.inactive||po.hook!==fo)continue;const vo=po.delimiter,bo=fo.isDelimiterPair(vo,ho,to);if(bo.paired)return vo;if(!bo.closer)return null}return null},ao=(fo,ho)=>{if(ro.length<=0)return ho;let po,go=ho,vo=[];for(let bo=ro.length-1;bo>=0;--bo){const xo=ro[bo];if(xo.hook!==fo||xo.inactive)continue;const _o=xo.tokenStackIndex;for(_o<no.length&&(vo=no.splice(_o).concat(vo)),po=xo.delimiter;po!=null&&go!=null;){if(go.type==="opener"){io(fo,go),go=void 0;break}if(go.type==="full")break;const Eo=fo.isDelimiterPair(po,go,vo);if(!Eo.paired){if(!Eo.opener){const To=fo.processSingleDelimiter(po);if(To.length>0){for(const wo of To)wo._tokenizer=fo.name;vo.unshift(...To)}po=void 0,xo.inactive=!0}if(!Eo.closer){const To=fo.processSingleDelimiter(go);if(To.length>0){for(const wo of To)wo._tokenizer=fo.name;vo.push(...To)}go=void 0}break}const So=fo.processDelimiterPair(po,go,vo);{for(const To of So.tokens)To._tokenizer==null&&(To._tokenizer=fo.name);vo=So.tokens}po=So.remainOpenerDelimiter,go=So.remainCloserDelimiter,oo(bo),bo=Math.min(bo,ro.length),po!=null&&io(fo,po)}if(go==null||go.type==="full")break}if(no.push(...vo),go==null)return null;if(go.type==="full"||go.type==="closer"){const bo=fo.processSingleDelimiter(go);for(const xo of bo)xo._tokenizer=fo.name,no.push(xo);return null}return go};return{process:(fo,ho)=>{for(;eo<to.length;++eo){const po=to[eo];if(po.startIndex>=ho.endIndex)break;po.startIndex>=ho.startIndex||no.push(po)}switch(ho.type){case"opener":{io(fo,ho);break}case"both":{const po=ao(fo,ho);po!=null&&io(fo,po);break}case"closer":{ao(fo,ho);break}case"full":{const po=fo.processSingleDelimiter(ho);for(const go of po)go._tokenizer=fo.name,no.push(go);break}default:throw new TypeError(`Unexpected delimiter type(${ho.type}) from ${fo.name}.`)}},done:()=>{const fo=[];for(const{delimiter:po,hook:go}of ro){const vo=go.processSingleDelimiter(po);for(const bo of vo)bo._tokenizer=go.name,fo.push(bo)}if(ro.length=0,fo.length>0){const po=mergeSortedTokenStack(no,fo);no.length=0,no.push(...po)}return no.concat(to.slice(eo))},reset:fo=>{to.length=fo.length;for(let ho=0;ho<fo.length;++ho)to[ho]=fo[ho];eo=0,ro.length=0,no.length=0},findNearestPairedDelimiter:so}},mergeSortedTokenStack=(eo,to)=>{if(eo.length<=0)return to;if(to.length<=0)return eo;const ro=[];let no=0,oo=0;for(;no<eo.length&&oo<to.length;)eo[no].startIndex<to[oo].startIndex?(ro.push(eo[no]),no+=1):(ro.push(to[oo]),oo+=1);for(;no<eo.length;++no)ro.push(eo[no]);for(;oo<to.length;++oo)ro.push(to[oo]);return ro},createPhrasingContentProcessor=(eo,to)=>{const ro=(io,so,ao)=>{let lo=[],uo=null;const co=[io,so];for(const ho of ao){const po=ho.findDelimiter(co);if(po!=null){if(uo!=null){if(po.startIndex>uo)continue;po.startIndex<uo&&(lo=[])}uo=po.startIndex,lo.push({hook:ho,delimiter:po})}}if(lo.length<=0)return{items:[],nextIndex:-1};const fo=uo+1;if(lo.length>1){let ho=0;for(const po of lo){const go=po.delimiter.type;if(go==="full")return{items:[po],nextIndex:po.delimiter.endIndex};(go==="both"||go==="closer")&&(ho+=1)}if(ho>1){let po=-1,go=-1;for(let bo=0;bo<lo.length;++bo){const{hook:xo,delimiter:_o}=lo[bo];if(_o.type==="both"||_o.type==="closer"){const Eo=no.findNearestPairedDelimiter(xo,_o);Eo!=null&&go<Eo.startIndex&&(po=bo,go=Eo.startIndex)}}return{items:po>-1?[lo[po]]:lo.filter(bo=>bo.delimiter.type!=="closer"),nextIndex:fo}}}return{items:lo,nextIndex:fo}},no=createSinglePriorityDelimiterProcessor();return{process:(io,so,ao)=>{let lo=io;for(let uo=to;uo<eo.length;++uo){const co=eo[uo];for(const ho of co)ho.reset();let fo=0;no.reset(lo);for(let ho=so;ho<ao;){let po=ao;for(;fo<lo.length;++fo){const bo=lo[fo];if(ho<bo.startIndex){po=bo.startIndex;break}ho<bo.endIndex&&(ho=bo.endIndex)}const{items:go,nextIndex:vo}=ro(ho,po,co);if(vo<0||go.length<=0){ho=vo<0?po:vo;continue}ho+=1;for(const{hook:bo,delimiter:xo}of go)ho=Math.max(ho,xo.endIndex),no.process(bo,xo)}lo=no.done()}return lo}}},createProcessorHookGroups=(eo,to,ro)=>{const no=[];for(let oo=0;oo<eo.length;){const io=[];no.push(io);const so=createPhrasingContentProcessor(no,no.length),ao=Object.freeze({...to,resolveInternalTokens:(uo,co,fo)=>{let ho=so.process(uo,co,fo);return ho=ro(ho,co,fo),ho}}),lo=eo[oo].priority;for(;oo<eo.length;++oo){const uo=eo[oo];if(uo.priority!==lo)break;const co=createProcessorHook(uo,ao);io.push(co)}}return no},createProcessorHook=(eo,to)=>{let ro;const no=eo.match(to);return{isDelimiterPair:()=>({paired:!0}),processDelimiterPair:(oo,io,so)=>({tokens:so}),processSingleDelimiter:()=>[],...no,name:eo.name,priority:eo.priority,findDelimiter:oo=>ro.next(oo).value,reset:()=>{ro=no.findDelimiter(),ro.next()}}};function createProcessor(eo){const{inlineTokenizers:to,inlineTokenizerMap:ro,blockTokenizers:no,blockTokenizerMap:oo,blockFallbackTokenizer:io,inlineFallbackTokenizer:so,shouldReservePosition:ao,presetDefinitions:lo,presetFootnoteDefinitions:uo,formatUrl:co}=eo;let fo=!1;const ho=new Set,po=new Set;let go=[],vo=-1,bo=-1;const xo=Object.freeze({matchBlockApi:{extractPhrasingLines:Ao,rollbackPhrasingLines:Ro,registerDefinitionIdentifier:Lo=>{fo&&ho.add(Lo)},registerFootnoteDefinitionIdentifier:Lo=>{fo&&po.add(Lo)}},parseBlockApi:{shouldReservePosition:ao,formatUrl:co,processInlines:jo,parseBlockTokens:Do},matchInlineApi:{hasDefinition:Lo=>ho.has(Lo),hasFootnoteDefinition:Lo=>po.has(Lo),getNodePoints:()=>go,getBlockStartIndex:()=>vo,getBlockEndIndex:()=>bo,resolveFallbackTokens:No},parseInlineApi:{shouldReservePosition:ao,calcPosition:Lo=>({start:calcStartPoint(go,Lo.startIndex),end:calcEndPoint(go,Lo.endIndex-1)}),formatUrl:co,getNodePoints:()=>go,hasDefinition:Lo=>ho.has(Lo),hasFootnoteDefinition:Lo=>po.has(Lo),parseInlineTokens:$o}}),_o=no.map(Lo=>({...Lo.match(xo.matchBlockApi),name:Lo.name,priority:Lo.priority})),Eo=new Map(Array.from(oo.entries()).map(Lo=>[Lo[0],Lo[1].parse(xo.parseBlockApi)])),So=io?{...io.match(xo.matchBlockApi),name:io.name,priority:io.priority}:null,To=createProcessorHookGroups(to,xo.matchInlineApi,No),wo=new Map(Array.from(ro.entries()).map(Lo=>[Lo[0],Lo[1].parse(xo.parseInlineApi)])),Co=createPhrasingContentProcessor(To,0);return{process:Oo};function Oo(Lo){ho.clear(),po.clear(),fo=!0;const Ho=Mo(Lo);fo=!1;for(const Yo of lo)ho.add(Yo.identifier);for(const Yo of uo)po.add(Yo.identifier);const qo=Do(Ho.children);return ao?{type:"root",position:Ho.position,children:qo}:{type:"root",children:qo}}function Ao(Lo){const Ho=oo.get(Lo._tokenizer);return(Ho==null?void 0:Ho.extractPhrasingContentLines(Lo))??null}function Ro(Lo,Ho){if(Ho!=null){const Uo=oo.get(Ho._tokenizer);if(Uo!==void 0&&Uo.buildBlockToken!=null){const Yo=Uo.buildBlockToken(Lo,Ho);if(Yo!==null)return Yo._tokenizer=Uo.name,[Yo]}}return Mo([Lo]).children}function No(Lo,Ho,qo){if(so==null)return Lo;let Uo=Ho;const Yo=[];for(const Zo of Lo){if(Uo<Zo.startIndex){const _s=so.findAndHandleDelimiter(Uo,Zo.startIndex,xo.matchInlineApi);_s._tokenizer=so.name,Yo.push(_s)}Yo.push(Zo),Uo=Zo.endIndex}if(Uo<qo){const Zo=so.findAndHandleDelimiter(Uo,qo,xo.matchInlineApi);Zo._tokenizer=so.name,Yo.push(Zo)}return Yo}function Mo(Lo){const Ho=createBlockContentProcessor(_o,So);for(const Uo of Lo)for(const Yo of Uo)Ho.consume(Yo);return Ho.done()}function Do(Lo){if(Lo===void 0||Lo.length<=0)return[];const Ho=[];for(let qo=0,Uo;qo<Lo.length;qo=Uo){const Yo=Lo[qo]._tokenizer;for(Uo=qo+1;Uo<Lo.length&&Lo[Uo]._tokenizer===Yo;)Uo+=1;const Zo=Eo.get(Yo);invariant(Zo!==void 0);const _s=Zo.parse(Lo.slice(qo,Uo));Ho.push(..._s)}return Ho}function jo(Lo){if(Lo.length<=0)return[];const Ho=Fo(Lo,0,Lo.length);return $o(Ho)}function Fo(Lo,Ho,qo){go=Lo,vo=Ho,bo=qo;const Uo=Co.process([],Ho,qo);return No(Uo,Ho,qo)}function $o(Lo){if(Lo===void 0||Lo.length<=0)return[];const Ho=[];for(let qo=0,Uo;qo<Lo.length;qo=Uo){const Yo=Lo[qo]._tokenizer;for(Uo=qo+1;Uo<Lo.length&&Lo[Uo]._tokenizer===Yo;)Uo+=1;const Zo=wo.get(Yo);invariant(Zo!==void 0);const _s=Zo.parse(Lo.slice(qo,Uo));Ho.push(..._s)}return Ho}}function*createPhrasingLineGenerator(eo){const to=[];let ro=0,no=0,oo=0;for(const io of eo){const so=[];for(const ao of io){const lo=ao.codePoint;if(no===to.length&&isSpaceCharacter(lo)&&(oo+=1,no+=1),to.push(ao),isLineEnding(lo)){no+1===to.length&&(no+=1);const uo={nodePoints:to,startIndex:ro,endIndex:to.length,firstNonWhitespaceIndex:no,countOfPrecedeSpaces:oo};so.push(uo),ro=to.length,no=to.length,oo=0}}yield so}return ro<to.length&&(yield[{nodePoints:to,startIndex:ro,endIndex:to.length,firstNonWhitespaceIndex:no,countOfPrecedeSpaces:oo}]),to}class DefaultParser{constructor(to){Ws(this,"blockTokenizers");Ws(this,"blockTokenizerMap");Ws(this,"inlineTokenizers");Ws(this,"inlineTokenizerMap");Ws(this,"blockFallbackTokenizer",null);Ws(this,"inlineFallbackTokenizer",null);Ws(this,"defaultParseOptions",null);this.inlineTokenizers=[],this.inlineTokenizerMap=new Map,this.blockTokenizers=[],this.blockTokenizerMap=new Map,this.setDefaultParseOptions(to.defaultParseOptions),to.blockFallbackTokenizer&&this.useFallbackTokenizer(to.blockFallbackTokenizer),to.inlineFallbackTokenizer&&this.useFallbackTokenizer(to.inlineFallbackTokenizer)}useTokenizer(to,ro){const no=to.type===TokenizerType.BLOCK?this.blockTokenizers:this.inlineTokenizers,oo=to.type===TokenizerType.BLOCK?this.blockTokenizerMap:this.inlineTokenizerMap;return this._registerTokenizer(no,oo,to,ro),this}replaceTokenizer(to,ro){const no=to.type===TokenizerType.BLOCK?this.blockTokenizers:this.inlineTokenizers,oo=to.type===TokenizerType.BLOCK?this.blockTokenizerMap:this.inlineTokenizerMap;return this._replaceTokenizer(no,oo,to,ro),this}unmountTokenizer(to){return this._unregisterTokenizer(this.inlineTokenizers,this.inlineTokenizerMap,to),this._unregisterTokenizer(this.blockTokenizers,this.blockTokenizerMap,to),this}useFallbackTokenizer(to){switch(to.type){case TokenizerType.BLOCK:this.blockFallbackTokenizer&&this.unmountTokenizer(this.blockFallbackTokenizer),this.blockTokenizerMap.set(to.name,to),this.blockFallbackTokenizer=to;break;case TokenizerType.INLINE:this.inlineFallbackTokenizer&&this.unmountTokenizer(this.inlineFallbackTokenizer),this.inlineTokenizerMap.set(to.name,to),this.inlineFallbackTokenizer=to;break}return this}setDefaultParseOptions(to={}){this.defaultParseOptions={presetDefinitions:[],presetFootnoteDefinitions:[],shouldReservePosition:!1,formatUrl:encodeLinkDestination,...to}}parse(to,ro={}){const{shouldReservePosition:no,presetDefinitions:oo,presetFootnoteDefinitions:io,formatUrl:so}={...this.defaultParseOptions,...ro},ao=createNodePointGenerator(to),lo=createPhrasingLineGenerator(ao);return createProcessor({inlineTokenizers:this.inlineTokenizers,inlineTokenizerMap:this.inlineTokenizerMap,blockTokenizers:this.blockTokenizers,blockTokenizerMap:this.blockTokenizerMap,blockFallbackTokenizer:this.blockFallbackTokenizer,inlineFallbackTokenizer:this.inlineFallbackTokenizer,shouldReservePosition:no,presetDefinitions:oo,presetFootnoteDefinitions:io,formatUrl:so}).process(lo)}_replaceTokenizer(to,ro,no,oo){this._unregisterTokenizer(to,ro,no.name),this._registerTokenizer(to,ro,no,oo)}_registerTokenizer(to,ro,no,oo){if(ro.has(no.name)&&ro.get(no.name)!=null)throw new TypeError(`[useTokenizer] Name(${no.name}) has been registered.`);ro.set(no.name,no);let io=0;for(;io<to.length;++io){const so=to[io];if(oo===so.name||no.priority>so.priority)break}io<0||io>=to.length?to.push(no):to.splice(io,0,no)}_unregisterTokenizer(to,ro,no){var ao,lo;const oo=typeof no=="string"?no:no.name;if(!ro.delete(oo))return;((ao=this.blockFallbackTokenizer)==null?void 0:ao.name)===oo&&(this.blockFallbackTokenizer=null),((lo=this.inlineFallbackTokenizer)==null?void 0:lo.name)===oo&&(this.inlineFallbackTokenizer=null);const so=to.findIndex(uo=>uo.name===oo);so>=0&&to.splice(so,1)}}function eatEmailAddress(eo,to,ro){let no=to;for(;no<ro;no+=1){const oo=eo[no].codePoint;if(!(isAsciiLetter(oo)||isAsciiDigitCharacter(oo))&&oo!==AsciiCodePoint.DOT&&oo!==AsciiCodePoint.EXCLAMATION_MARK&&oo!==AsciiCodePoint.NUMBER_SIGN&&oo!==AsciiCodePoint.DOLLAR_SIGN&&oo!==AsciiCodePoint.PERCENT_SIGN&&oo!==AsciiCodePoint.AMPERSAND&&oo!==AsciiCodePoint.SINGLE_QUOTE&&oo!==AsciiCodePoint.ASTERISK&&oo!==AsciiCodePoint.PLUS_SIGN&&oo!==AsciiCodePoint.SLASH&&oo!==AsciiCodePoint.EQUALS_SIGN&&oo!==AsciiCodePoint.QUESTION_MARK&&oo!==AsciiCodePoint.CARET&&oo!==AsciiCodePoint.UNDERSCORE&&oo!==AsciiCodePoint.BACKTICK&&oo!==AsciiCodePoint.OPEN_BRACE&&oo!==AsciiCodePoint.VERTICAL_SLASH&&oo!==AsciiCodePoint.CLOSE_BRACE&&oo!==AsciiCodePoint.TILDE&&oo!==AsciiCodePoint.MINUS_SIGN)break}if(no===to||no+1>=ro||eo[no].codePoint!==AsciiCodePoint.AT_SIGN||!isAlphanumeric(eo[no+1].codePoint))return{valid:!1,nextIndex:no+1};for(no=eatAddressPart0(eo,no+2,ro);no+1<ro;){let oo=eo[no].codePoint;if(oo!==AsciiCodePoint.DOT||(oo=eo[no+1].codePoint,!isAsciiLetter(oo)&&!isAsciiDigitCharacter(oo)))break;no=eatAddressPart0(eo,no+2,ro)}return{valid:!0,nextIndex:no}}function eatAddressPart0(eo,to,ro){let no=to,oo=-1;for(let io=Math.min(ro,no+62);no<io;++no){const so=eo[no].codePoint;if(isAsciiLetter(so)||isAsciiDigitCharacter(so)){oo=no;continue}if(so!==AsciiCodePoint.MINUS_SIGN)break}return oo>=to?oo+1:to}function eatAbsoluteUri(eo,to,ro){const no=eatAutolinkSchema(eo,to,ro);let{nextIndex:oo}=no;if(!no.valid||oo>=ro||eo[oo].codePoint!==AsciiCodePoint.COLON)return{valid:!1,nextIndex:oo};for(oo+=1;oo<ro;++oo){const io=eo[oo].codePoint;if(!isAsciiCharacter(io)||isWhitespaceCharacter(io)||isAsciiControlCharacter(io)||io===AsciiCodePoint.OPEN_ANGLE||io===AsciiCodePoint.CLOSE_ANGLE)break}return{valid:!0,nextIndex:oo}}function eatAutolinkSchema(eo,to,ro){let no=to;const oo=eo[no].codePoint;if(!isAsciiLetter(oo))return{valid:!1,nextIndex:no+1};for(no+=1;no<ro;++no){const so=eo[no].codePoint;if(!(isAlphanumeric(so)||so===AsciiCodePoint.PLUS_SIGN||so===AsciiCodePoint.DOT||so===AsciiCodePoint.MINUS_SIGN))break}const io=no-to;return io<2||io>32?{valid:!1,nextIndex:no+1}:{valid:!0,nextIndex:no}}const helpers=[{contentType:"uri",eat:eatAbsoluteUri},{contentType:"email",eat:eatEmailAddress}],match$l=function(eo){return{findDelimiter:()=>genFindDelimiter(to),processSingleDelimiter:ro};function to(no,oo){const io=eo.getNodePoints();for(let so=no;so<oo;++so){if(io[so].codePoint!==AsciiCodePoint.OPEN_ANGLE)continue;let ao=oo,lo=null;for(const uo of helpers){const co=uo.eat(io,so+1,oo);if(ao=Math.min(ao,co.nextIndex),co.valid){lo=uo.contentType,ao=co.nextIndex;break}}if(lo==null){so=Math.max(so,ao-1);continue}if(ao<oo&&io[ao].codePoint===AsciiCodePoint.CLOSE_ANGLE)return{type:"full",startIndex:so,endIndex:ao+1,contentType:lo};so=ao-1}return null}function ro(no){return[{nodeType:LinkType,startIndex:no.startIndex,endIndex:no.endIndex,contentType:no.contentType,children:eo.resolveFallbackTokens([],no.startIndex+1,no.endIndex-1)}]}},parse$l=function(eo){return{parse:to=>to.map(ro=>{const no=eo.getNodePoints();let oo=calcStringFromNodePoints(no,ro.startIndex+1,ro.endIndex-1);ro.contentType==="email"&&(oo="mailto:"+oo);const io=eo.formatUrl(oo),so=eo.parseInlineTokens(ro.children);return eo.shouldReservePosition?{type:LinkType,position:eo.calcPosition(ro),url:io,children:so}:{type:LinkType,url:io,children:so}})}},uniqueName$j="@yozora/tokenizer-autolink";class AutolinkTokenizer extends BaseInlineTokenizer{constructor(ro={}){super({name:ro.name??uniqueName$j,priority:ro.priority??TokenizerPriority.ATOMIC});Ws(this,"match",match$l);Ws(this,"parse",parse$l)}}const match$k=function(){return{isContainingBlock:!0,eatOpener:eo,eatAndInterruptPreviousSibling:to,eatContinuationText:ro};function eo(no){if(no.countOfPrecedeSpaces>=4)return null;const{nodePoints:oo,startIndex:io,endIndex:so,firstNonWhitespaceIndex:ao}=no;if(ao>=so||oo[ao].codePoint!==AsciiCodePoint.CLOSE_ANGLE)return null;let lo=ao+1;return lo<so&&isSpaceCharacter(oo[lo].codePoint)&&(lo+=1,lo<so&&oo[lo].codePoint===VirtualCodePoint.SPACE&&(lo+=1)),{token:{nodeType:BlockquoteType,position:{start:calcStartPoint(oo,io),end:calcEndPoint(oo,lo-1)},children:[]},nextIndex:lo}}function to(no,oo){const io=eo(no);return io==null?null:{token:io.token,nextIndex:io.nextIndex,remainingSibling:oo}}function ro(no,oo,io){const{nodePoints:so,startIndex:ao,endIndex:lo,firstNonWhitespaceIndex:uo,countOfPrecedeSpaces:co}=no;return co>=4||uo>=lo||so[uo].codePoint!==AsciiCodePoint.CLOSE_ANGLE?io.nodeType===BlockquoteType?{status:"opening",nextIndex:ao}:{status:"notMatched"}:{status:"opening",nextIndex:uo+1<lo&&isSpaceCharacter(so[uo+1].codePoint)?uo+2:uo+1}}},parse$k=function(eo){return{parse:to=>to.map(ro=>{const no=eo.parseBlockTokens(ro.children);return eo.shouldReservePosition?{type:BlockquoteType,position:ro.position,children:no}:{type:BlockquoteType,children:no}})}},uniqueName$i="@yozora/tokenizer-blockquote";class BlockquoteTokenizer extends BaseBlockTokenizer{constructor(ro={}){super({name:ro.name??uniqueName$i,priority:ro.priority??TokenizerPriority.CONTAINING_BLOCK});Ws(this,"match",match$k);Ws(this,"parse",parse$k)}}const uniqueName$h="@yozora/tokenizer-break";var BreakTokenMarkerType;(function(eo){eo.BACKSLASH="backslash",eo.MORE_THAN_TWO_SPACES="more-than-two-spaces"})(BreakTokenMarkerType||(BreakTokenMarkerType={}));const match$j=function(eo){return{findDelimiter:()=>genFindDelimiter(to),processSingleDelimiter:ro};function to(no,oo){const io=eo.getNodePoints();for(let so=no+1;so<oo;++so){if(io[so].codePoint!==VirtualCodePoint.LINE_END)continue;const ao=io[so-1].codePoint;let lo=null,uo=null;switch(ao){case AsciiCodePoint.BACKSLASH:{let co=so-2;for(;co>=no&&io[co].codePoint===AsciiCodePoint.BACKSLASH;co-=1);so-co&1||(lo=so-1,uo=BreakTokenMarkerType.BACKSLASH);break}case AsciiCodePoint.SPACE:{let co=so-2;for(;co>=no&&io[co].codePoint===AsciiCodePoint.SPACE;co-=1);so-co>2&&(lo=co+1,uo=BreakTokenMarkerType.MORE_THAN_TWO_SPACES);break}}if(!(lo==null||uo==null))return{type:"full",markerType:uo,startIndex:lo,endIndex:so}}return null}function ro(no){return[{nodeType:BreakType,startIndex:no.startIndex,endIndex:no.endIndex}]}},parse$j=function(eo){return{parse:to=>to.map(ro=>eo.shouldReservePosition?{type:BreakType,position:eo.calcPosition(ro)}:{type:BreakType})}};class BreakTokenizer extends BaseInlineTokenizer{constructor(ro={}){super({name:ro.name??uniqueName$h,priority:ro.priority??TokenizerPriority.SOFT_INLINE});Ws(this,"match",match$j);Ws(this,"parse",parse$j)}}function eatAndCollectLinkDestination(eo,to,ro,no){let oo=to;no==null&&(no={saturated:!1,nodePoints:[],hasOpenAngleBracket:!1,openParensCount:0});const io=eatOptionalWhitespaces(eo,oo,ro);if(io>=ro)return{nextIndex:-1,state:no};if(no.nodePoints.length<=0){oo=io;const so=eo[oo];so.codePoint===AsciiCodePoint.OPEN_ANGLE&&(oo+=1,no.hasOpenAngleBracket=!0,no.nodePoints.push(so))}if(no.hasOpenAngleBracket){for(;oo<ro;++oo){const so=eo[oo];switch(so.codePoint){case AsciiCodePoint.BACKSLASH:oo+1<ro&&(no.nodePoints.push(so),no.nodePoints.push(eo[oo+1])),oo+=1;break;case AsciiCodePoint.OPEN_ANGLE:case VirtualCodePoint.LINE_END:return{nextIndex:-1,state:no};case AsciiCodePoint.CLOSE_ANGLE:return no.saturated=!0,no.nodePoints.push(so),{nextIndex:oo+1,state:no};default:no.nodePoints.push(so)}}return{nextIndex:oo,state:no}}for(;oo<ro;++oo){const so=eo[oo];switch(so.codePoint){case AsciiCodePoint.BACKSLASH:oo+1<ro&&(no.nodePoints.push(so),no.nodePoints.push(eo[oo+1])),oo+=1;break;case AsciiCodePoint.OPEN_PARENTHESIS:no.openParensCount+=1,no.nodePoints.push(so);break;case AsciiCodePoint.CLOSE_PARENTHESIS:if(no.openParensCount-=1,no.nodePoints.push(so),no.openParensCount<0)return{nextIndex:oo,state:no};break;default:if(isWhitespaceCharacter(so.codePoint)||isAsciiControlCharacter(so.codePoint))return no.saturated=!0,{nextIndex:oo,state:no};no.nodePoints.push(so);break}}return no.saturated=!0,{nextIndex:oo,state:no}}function eatAndCollectLinkLabel(eo,to,ro,no){let oo=to;no==null&&(no={saturated:!1,nodePoints:[],hasNonWhitespaceCharacter:!1});const io=eatOptionalWhitespaces(eo,oo,ro);if(io>=ro)return{nextIndex:-1,state:no};if(no.nodePoints.length<=0){oo=io;const so=eo[oo];if(so.codePoint!==AsciiCodePoint.OPEN_BRACKET)return{nextIndex:-1,state:no};oo+=1,no.nodePoints.push(so)}for(;oo<ro;++oo){const so=eo[oo];switch(so.codePoint){case AsciiCodePoint.BACKSLASH:no.hasNonWhitespaceCharacter=!0,oo+1<ro&&(no.nodePoints.push(so),no.nodePoints.push(eo[oo+1])),oo+=1;break;case AsciiCodePoint.OPEN_BRACKET:return{nextIndex:-1,state:no};case AsciiCodePoint.CLOSE_BRACKET:return no.nodePoints.push(so),no.hasNonWhitespaceCharacter?(no.saturated=!0,{nextIndex:oo+1,state:no}):{nextIndex:-1,state:no};default:isWhitespaceCharacter(so.codePoint)||(no.hasNonWhitespaceCharacter=!0),no.nodePoints.push(so)}}return{nextIndex:1,state:no}}function eatAndCollectLinkTitle(eo,to,ro,no){let oo=to;no==null&&(no={saturated:!1,nodePoints:[],wrapSymbol:null});const io=eatOptionalWhitespaces(eo,oo,ro);if(io>=ro)return{nextIndex:-1,state:no};if(no.nodePoints.length<=0){oo=io;const so=eo[oo];switch(so.codePoint){case AsciiCodePoint.DOUBLE_QUOTE:case AsciiCodePoint.SINGLE_QUOTE:case AsciiCodePoint.OPEN_PARENTHESIS:no.wrapSymbol=so.codePoint,no.nodePoints.push(so),oo+=1;break;default:return{nextIndex:-1,state:no}}}if(no.wrapSymbol==null)return{nextIndex:-1,state:no};switch(no.wrapSymbol){case AsciiCodePoint.DOUBLE_QUOTE:case AsciiCodePoint.SINGLE_QUOTE:{for(;oo<ro;++oo){const so=eo[oo];switch(so.codePoint){case AsciiCodePoint.BACKSLASH:oo+1<ro&&(no.nodePoints.push(so),no.nodePoints.push(eo[oo+1])),oo+=1;break;case no.wrapSymbol:return no.saturated=!0,no.nodePoints.push(so),{nextIndex:oo+1,state:no};default:no.nodePoints.push(so)}}break}case AsciiCodePoint.OPEN_PARENTHESIS:{for(;oo<ro;++oo){const so=eo[oo];switch(so.codePoint){case AsciiCodePoint.BACKSLASH:oo+1<ro&&(no.nodePoints.push(so),no.nodePoints.push(eo[oo+1])),oo+=1;break;case AsciiCodePoint.OPEN_PARENTHESIS:return{nextIndex:-1,state:no};case AsciiCodePoint.CLOSE_PARENTHESIS:if(oo+1>=ro||eo[oo+1].codePoint===VirtualCodePoint.LINE_END){no.nodePoints.push(so),no.saturated=!0;break}return{nextIndex:-1,state:no};default:no.nodePoints.push(so)}}break}}return{nextIndex:ro,state:no}}const match$i=function(eo){return{isContainingBlock:!1,eatOpener:to,eatContinuationText:ro,onClose:no};function to(oo){if(oo.countOfPrecedeSpaces>=4)return null;const{nodePoints:io,startIndex:so,endIndex:ao,firstNonWhitespaceIndex:lo}=oo;if(lo>=ao)return null;let uo=lo;const{nextIndex:co,state:fo}=eatAndCollectLinkLabel(io,uo,ao,null);if(co<0)return null;const ho=io[so].line,po=()=>({nodeType:DefinitionType,position:{start:calcStartPoint(io,so),end:calcEndPoint(io,ao-1)},label:fo,destination:null,title:null,lineNoOfLabel:ho,lineNoOfDestination:-1,lineNoOfTitle:-1,lines:[oo]});if(!fo.saturated)return{token:po(),nextIndex:ao};if(co<0||co+1>=ao||io[co].codePoint!==AsciiCodePoint.COLON)return null;if(uo=eatOptionalWhitespaces(io,co+1,ao),uo>=ao)return{token:po(),nextIndex:ao};const{nextIndex:go,state:vo}=eatAndCollectLinkDestination(io,uo,ao,null);if(go<0||!vo.saturated&&go!==ao)return null;if(uo=eatOptionalWhitespaces(io,go,ao),uo>=ao){const Eo=po();return Eo.destination=vo,Eo.lineNoOfDestination=ho,{token:Eo,nextIndex:ao}}if(uo===go)return null;const{nextIndex:bo,state:xo}=eatAndCollectLinkTitle(io,uo,ao,null);if(bo>=0&&(uo=bo),uo<ao&&eatOptionalWhitespaces(io,uo,ao)<ao)return null;const _o=po();return _o.destination=vo,_o.title=xo,_o.lineNoOfDestination=ho,_o.lineNoOfTitle=ho,{token:_o,nextIndex:ao}}function ro(oo,io){var vo;if(io.title!=null&&io.title.saturated)return{status:"notMatched"};const{nodePoints:so,startIndex:ao,firstNonWhitespaceIndex:lo,endIndex:uo}=oo,co=so[ao].line;let fo=lo;if(!io.label.saturated){const{nextIndex:bo,state:xo}=eatAndCollectLinkLabel(so,fo,uo,io.label);if(bo<0)return{status:"failedAndRollback",lines:io.lines};if(!xo.saturated)return io.lines.push(oo),{status:"opening",nextIndex:uo};if(bo+1>=uo||so[bo].codePoint!==AsciiCodePoint.COLON)return{status:"failedAndRollback",lines:io.lines};fo=bo+1}if(io.destination==null){if(fo=eatOptionalWhitespaces(so,fo,uo),fo>=uo)return{status:"failedAndRollback",lines:io.lines};const{nextIndex:bo,state:xo}=eatAndCollectLinkDestination(so,fo,uo,null);if(bo<0||!xo.saturated)return{status:"failedAndRollback",lines:io.lines};if(fo=eatOptionalWhitespaces(so,bo,uo),fo>=uo)return io.destination=xo,io.lines.push(oo),{status:"opening",nextIndex:uo};io.lineNoOfDestination=co,io.lineNoOfTitle=co}io.lineNoOfTitle<0&&(io.lineNoOfTitle=co);const{nextIndex:ho,state:po}=eatAndCollectLinkTitle(so,fo,uo,io.title);if(io.title=po,ho<0||po.nodePoints.length<=0||po.saturated&&eatOptionalWhitespaces(so,ho,uo)<uo){if(io.lineNoOfDestination===io.lineNoOfTitle)return{status:"failedAndRollback",lines:io.lines};const bo=io.lines[io.lines.length-1];return io.title=null,io.position.end=calcEndPoint(bo.nodePoints,bo.endIndex-1),{status:"closingAndRollback",lines:io.lines.slice(io.lineNoOfTitle-1)}}return io.lines.push(oo),{status:((vo=io.title)==null?void 0:vo.saturated)?"closing":"opening",nextIndex:uo}}function no(oo){let io;if(oo.title==null||!oo.title.saturated){if(!oo.label.saturated)return{status:"failedAndRollback",lines:oo.lines};if(oo.destination==null||!oo.destination.saturated)return{status:"failedAndRollback",lines:oo.lines};if(oo.title!=null&&!oo.title.saturated){if(oo.lineNoOfDestination===oo.lineNoOfTitle)return{status:"failedAndRollback",lines:oo.lines};const uo=oo.lines.splice(oo.lineNoOfTitle-1),co=oo.lines[oo.lines.length-1];oo.title=null,oo.position.end=calcEndPoint(co.nodePoints,co.endIndex-1),io={status:"closingAndRollback",lines:uo}}}const so=oo.label.nodePoints,ao=calcStringFromNodePoints(so,1,so.length-1),lo=resolveLabelToIdentifier(ao);return eo.registerDefinitionIdentifier(lo),oo._label=ao,oo._identifier=lo,io}},parse$i=function(eo){return{parse:to=>to.map(ro=>{const no=ro._label,oo=ro._identifier,io=ro.destination.nodePoints,so=io[0].codePoint===AsciiCodePoint.OPEN_ANGLE?calcEscapedStringFromNodePoints(io,1,io.length-1,!0):calcEscapedStringFromNodePoints(io,0,io.length,!0),ao=eo.formatUrl(so),lo=ro.title==null?void 0:calcEscapedStringFromNodePoints(ro.title.nodePoints,1,ro.title.nodePoints.length-1);return eo.shouldReservePosition?{type:DefinitionType,position:ro.position,identifier:oo,label:no,url:ao,title:lo}:{type:DefinitionType,identifier:oo,label:no,url:ao,title:lo}})}},uniqueName$g="@yozora/tokenizer-definition";class DefinitionTokenizer extends BaseBlockTokenizer{constructor(ro={}){super({name:ro.name??uniqueName$g,priority:ro.priority??TokenizerPriority.ATOMIC});Ws(this,"match",match$i);Ws(this,"parse",parse$i)}}const match$h=function(eo){return{findDelimiter:()=>genFindDelimiter(to),isDelimiterPair:ro,processDelimiterPair:no};function to(oo,io){const so=eo.getNodePoints(),ao=eo.getBlockStartIndex(),lo=eo.getBlockEndIndex(),uo=(fo,ho)=>{if(ho===lo)return!1;if(ho===io)return!0;const po=so[ho];if(isUnicodeWhitespaceCharacter(po.codePoint))return!1;if(!isPunctuationCharacter(po.codePoint)||fo<=oo)return!0;const go=so[fo-1];return isUnicodeWhitespaceCharacter(go.codePoint)||isPunctuationCharacter(go.codePoint)},co=(fo,ho)=>{if(fo===ao)return!1;if(fo===oo)return!0;const po=so[fo-1];if(isUnicodeWhitespaceCharacter(po.codePoint))return!1;if(!isPunctuationCharacter(po.codePoint)||ho>=io)return!0;const go=so[ho];return isUnicodeWhitespaceCharacter(go.codePoint)||isPunctuationCharacter(go.codePoint)};for(let fo=oo;fo<io;++fo){const ho=so[fo].codePoint;switch(ho){case AsciiCodePoint.BACKSLASH:fo+=1;break;case AsciiCodePoint.ASTERISK:case AsciiCodePoint.UNDERSCORE:{const po=fo;fo=eatOptionalCharacters(so,fo+1,io,ho)-1;const go=fo+1,vo=uo(po,go),bo=co(po,go);let xo=vo,_o=bo;if(ho===AsciiCodePoint.UNDERSCORE&&vo&&bo){po>oo&&!isPunctuationCharacter(so[po-1].codePoint)&&(xo=!1);const So=so[go];isPunctuationCharacter(So.codePoint)||(_o=!1)}if(!xo&&!_o)break;const Eo=go-po;return{type:xo?_o?"both":"opener":"closer",startIndex:po,endIndex:go,thickness:Eo,originalThickness:Eo}}}}return null}function ro(oo,io){const so=eo.getNodePoints();return so[oo.startIndex].codePoint!==so[io.startIndex].codePoint||(oo.type==="both"||io.type==="both")&&(oo.originalThickness+io.originalThickness)%3===0&&oo.originalThickness%3!==0?{paired:!1,opener:!0,closer:!0}:{paired:!0}}function no(oo,io,so){let ao=1;oo.thickness>1&&io.thickness>1&&(ao=2),so=eo.resolveInternalTokens(so,oo.endIndex,io.startIndex);const lo={nodeType:ao===1?EmphasisType:StrongType,startIndex:oo.endIndex-ao,endIndex:io.startIndex+ao,thickness:ao,children:so},uo=oo.thickness>ao?{type:oo.type,startIndex:oo.startIndex,endIndex:oo.endIndex-ao,thickness:oo.thickness-ao,originalThickness:oo.originalThickness}:void 0,co=io.thickness>ao?{type:io.type,startIndex:io.startIndex+ao,endIndex:io.endIndex,thickness:io.thickness-ao,originalThickness:io.originalThickness}:void 0;return{tokens:[lo],remainOpenerDelimiter:uo,remainCloserDelimiter:co}}},parse$h=function(eo){return{parse:to=>to.map(ro=>{const no=eo.parseInlineTokens(ro.children);return eo.shouldReservePosition?{type:ro.nodeType,position:eo.calcPosition(ro),children:no}:{type:ro.nodeType,children:no}})}},uniqueName$f="@yozora/tokenizer-emphasis";class EmphasisTokenizer extends BaseInlineTokenizer{constructor(ro={}){super({name:ro.name??uniqueName$f,priority:ro.priority??TokenizerPriority.CONTAINING_INLINE});Ws(this,"match",match$h);Ws(this,"parse",parse$h)}}function match$g(eo){const{nodeType:to,markers:ro,markersRequired:no,checkInfoString:oo}=this;return{isContainingBlock:!1,eatOpener:io,eatAndInterruptPreviousSibling:so,eatContinuationText:ao};function io(lo){if(lo.countOfPrecedeSpaces>=4)return null;const{endIndex:uo,firstNonWhitespaceIndex:co}=lo;if(co+no-1>=uo)return null;const{nodePoints:fo,startIndex:ho}=lo,po=fo[co].codePoint;if(ro.indexOf(po)<0)return null;const go=eatOptionalCharacters(fo,co+1,uo,po),vo=go-co;if(vo<no)return null;const[bo,xo]=calcTrimBoundaryOfCodePoints(fo,go,uo),_o=fo.slice(bo,xo);if(oo!=null&&!oo(_o,po,vo))return null;const Eo=uo;return{token:{nodeType:to,position:{start:calcStartPoint(fo,ho),end:calcEndPoint(fo,Eo-1)},indent:co-ho,marker:po,markerCount:vo,lines:[],infoString:_o},nextIndex:Eo}}function so(lo,uo){const co=io(lo);return co==null?null:{token:co.token,nextIndex:co.nextIndex,remainingSibling:uo}}function ao(lo,uo){const{nodePoints:co,startIndex:fo,endIndex:ho,firstNonWhitespaceIndex:po,countOfPrecedeSpaces:go}=lo;if(go<4&&po<ho){let bo=eatOptionalCharacters(co,po,ho,uo.marker);if(bo-po>=uo.markerCount){for(;bo<ho;++bo){const _o=co[bo].codePoint;if(!isSpaceCharacter(_o))break}if(bo+1>=ho)return{status:"closing",nextIndex:ho}}}const vo=Math.min(fo+uo.indent,po,ho-1);return uo.lines.push({nodePoints:co,startIndex:vo,endIndex:ho,firstNonWhitespaceIndex:po,countOfPrecedeSpaces:go}),{status:"opening",nextIndex:ho}}}class FencedBlockTokenizer extends BaseBlockTokenizer{constructor(ro){super({name:ro.name,priority:ro.priority??TokenizerPriority.FENCED_BLOCK});Ws(this,"nodeType");Ws(this,"markers",[]);Ws(this,"markersRequired");Ws(this,"checkInfoString");Ws(this,"match",match$g);this.nodeType=ro.nodeType,this.markers=ro.markers,this.markersRequired=ro.markersRequired,this.checkInfoString=ro.checkInfoString}}const match$f=function(eo){return{...match$g.call(this,eo),isContainingBlock:!1}},parse$g=function(eo){return{parse:to=>to.map(ro=>{const no=ro.infoString;let oo=0;const io=[];for(;oo<no.length;++oo){const fo=no[oo];if(isUnicodeWhitespaceCharacter(fo.codePoint))break;io.push(fo)}const so=calcEscapedStringFromNodePoints(io,0,io.length,!0);oo=eatOptionalWhitespaces(no,oo,no.length);const ao=calcEscapedStringFromNodePoints(no,oo,no.length,!0),lo=mergeContentLinesFaithfully(ro.lines);let uo=calcStringFromNodePoints(lo);return/\n$/.test(uo)||(uo+=`
+`),eo.shouldReservePosition?{type:CodeType,position:ro.position,lang:so.length>0?so:null,meta:ao.length>0?ao:null,value:uo}:{type:CodeType,lang:so.length>0?so:null,meta:ao.length>0?ao:null,value:uo}})}},uniqueName$e="@yozora/tokenizer-fenced-code";class FencedCodeTokenizer extends FencedBlockTokenizer{constructor(ro={}){super({name:ro.name??uniqueName$e,priority:ro.priority??TokenizerPriority.FENCED_BLOCK,nodeType:CodeType,markers:[AsciiCodePoint.BACKTICK,AsciiCodePoint.TILDE],markersRequired:3,checkInfoString:(no,oo)=>{if(oo===AsciiCodePoint.BACKTICK){for(const io of no)if(io.codePoint===AsciiCodePoint.BACKTICK)return!1}return!0}});Ws(this,"match",match$f);Ws(this,"parse",parse$g)}}const match$e=function(){return{isContainingBlock:!1,eatOpener:eo,eatAndInterruptPreviousSibling:to};function eo(ro){if(ro.countOfPrecedeSpaces>=4)return null;const{nodePoints:no,startIndex:oo,endIndex:io,firstNonWhitespaceIndex:so}=ro;if(so>=io||no[so].codePoint!==AsciiCodePoint.NUMBER_SIGN)return null;const ao=eatOptionalCharacters(no,so+1,io,AsciiCodePoint.NUMBER_SIGN),lo=ao-so;if(lo>6||ao+1<io&&!isSpaceCharacter(no[ao].codePoint))return null;const uo=io;return{token:{nodeType:HeadingType,position:{start:calcStartPoint(no,oo),end:calcEndPoint(no,uo-1)},depth:lo,line:ro},nextIndex:uo,saturated:!0}}function to(ro,no){const oo=eo(ro);return oo==null?null:{token:oo.token,nextIndex:oo.nextIndex,remainingSibling:no}}},parse$f=function(eo){return{parse:to=>to.map(ro=>{const{nodePoints:no,firstNonWhitespaceIndex:oo,endIndex:io}=ro.line;let[so,ao]=calcTrimBoundaryOfCodePoints(no,oo+ro.depth,io),lo=0;for(let po=ao-1;po>=so&&no[po].codePoint===AsciiCodePoint.NUMBER_SIGN;--po)lo+=1;if(lo>0){let po=0,go=ao-1-lo;for(;go>=so;--go){const vo=no[go].codePoint;if(!isWhitespaceCharacter(vo))break;po+=1}(po>0||go<so)&&(ao-=lo+po)}const co=mergeAndStripContentLines([{nodePoints:no,startIndex:so,endIndex:ao,firstNonWhitespaceIndex:so,countOfPrecedeSpaces:0}]),fo=eo.processInlines(co);return eo.shouldReservePosition?{type:HeadingType,position:ro.position,depth:ro.depth,children:fo}:{type:HeadingType,depth:ro.depth,children:fo}})}},uniqueName$d="@yozora/tokenizer-heading";class HeadingTokenizer extends BaseBlockTokenizer{constructor(ro={}){super({name:ro.name??uniqueName$d,priority:ro.priority??TokenizerPriority.ATOMIC});Ws(this,"match",match$e);Ws(this,"parse",parse$f)}}function eatHTMLAttribute(eo,to,ro){let no=eatOptionalWhitespaces(eo,to,ro);if(no<=to||no>=ro)return null;const oo=no;let io=eo[no].codePoint;if(!isAsciiLetter(io)&&io!==AsciiCodePoint.UNDERSCORE&&io!==AsciiCodePoint.COLON)return null;for(no=oo+1;no<ro&&(io=eo[no].codePoint,!!(isAsciiLetter(io)||isAsciiDigitCharacter(io)||io===AsciiCodePoint.UNDERSCORE||io===AsciiCodePoint.DOT||io===AsciiCodePoint.COLON||io===AsciiCodePoint.MINUS_SIGN));++no);const so=no,ao={name:{startIndex:oo,endIndex:so}};if(no=eatOptionalWhitespaces(eo,so,ro),no<ro&&eo[no].codePoint===AsciiCodePoint.EQUALS_SIGN&&(no=eatOptionalWhitespaces(eo,no+1,ro),no<ro)){switch(eo[no].codePoint){case AsciiCodePoint.DOUBLE_QUOTE:{const uo=no+1;for(no=uo;no<ro&&(io=eo[no].codePoint,io!==AsciiCodePoint.DOUBLE_QUOTE);++no);const co=no;no<ro&&eo[no].codePoint===AsciiCodePoint.DOUBLE_QUOTE&&(ao.value={startIndex:uo,endIndex:co},no+=1);break}case AsciiCodePoint.SINGLE_QUOTE:{const uo=no+1;for(no=uo;no<ro&&(io=eo[no].codePoint,io!==AsciiCodePoint.SINGLE_QUOTE);++no);const co=no;no<ro&&eo[no].codePoint===AsciiCodePoint.SINGLE_QUOTE&&(ao.value={startIndex:uo,endIndex:co},no+=1);break}default:{const uo=no;for(;no<ro&&(io=eo[no].codePoint,!(isWhitespaceCharacter(io)||io===AsciiCodePoint.DOUBLE_QUOTE||io===AsciiCodePoint.SINGLE_QUOTE||io===AsciiCodePoint.EQUALS_SIGN||io===AsciiCodePoint.OPEN_ANGLE||io===AsciiCodePoint.CLOSE_ANGLE||io===AsciiCodePoint.BACKTICK));++no);const co=no;co>uo&&(ao.value={startIndex:uo,endIndex:co});break}}if(ao.value!=null)return{attribute:ao,nextIndex:no}}return{attribute:ao,nextIndex:so}}function eatHTMLTagName(eo,to,ro){if(to>=ro||!isAsciiLetter(eo[to].codePoint))return null;let no=to;for(;no<ro;++no){const oo=eo[no].codePoint;if(!(isAsciiLetter(oo)||isAsciiDigitCharacter(oo)||oo===AsciiCodePoint.MINUS_SIGN))return no}return no}const includedTags$1=["pre","script","style"];function eatStartCondition1(eo,to,ro,no){if(!includedTags$1.includes(no))return null;if(to>=ro)return ro;const oo=eo[to].codePoint;return isWhitespaceCharacter(oo)||oo===AsciiCodePoint.CLOSE_ANGLE?to+1:null}function eatEndCondition1(eo,to,ro){for(let no=to;no<ro;++no)if(eo[no].codePoint===AsciiCodePoint.OPEN_ANGLE&&no+3<ro&&eo[no+1].codePoint===AsciiCodePoint.SLASH){const oo=no+2,io=eatHTMLTagName(eo,oo,ro);if(io==null||io>=ro||eo[io].codePoint!==AsciiCodePoint.CLOSE_ANGLE){no+=1;continue}const ao=calcStringFromNodePoints(eo,oo,io,!0).toLowerCase();if(includedTags$1.includes(ao))return io}return null}function eatStartCondition2(eo,to,ro){const no=to;return no+2<ro&&eo[no].codePoint===AsciiCodePoint.EXCLAMATION_MARK&&eo[no+1].codePoint===AsciiCodePoint.MINUS_SIGN&&eo[no+2].codePoint===AsciiCodePoint.MINUS_SIGN?no+3:null}function eatEndCondition2(eo,to,ro){for(let no=to;no<ro;++no)if(eo[no].codePoint===AsciiCodePoint.MINUS_SIGN&&no+2<ro&&eo[no+1].codePoint===AsciiCodePoint.MINUS_SIGN&&eo[no+2].codePoint===AsciiCodePoint.CLOSE_ANGLE)return no+3;return null}function eatStartCondition3(eo,to,ro){const no=to;return no<ro&&eo[no].codePoint===AsciiCodePoint.QUESTION_MARK?no+1:null}function eatEndCondition3(eo,to,ro){for(let no=to;no<ro;++no)if(eo[no].codePoint===AsciiCodePoint.QUESTION_MARK&&no+1<ro&&eo[no+1].codePoint===AsciiCodePoint.CLOSE_ANGLE)return no+2;return null}function eatStartCondition4(eo,to,ro){const no=to;return no+1<ro&&eo[no].codePoint===AsciiCodePoint.EXCLAMATION_MARK&&isAsciiUpperLetter(eo[no+1].codePoint)?no+2:null}function eatEndCondition4(eo,to,ro){for(let no=to;no<ro;++no)if(eo[no].codePoint===AsciiCodePoint.CLOSE_ANGLE)return no+1;return null}function eatStartCondition5(eo,to,ro){const no=to;return no+6<ro&&eo[no].codePoint===AsciiCodePoint.EXCLAMATION_MARK&&eo[no+1].codePoint===AsciiCodePoint.OPEN_BRACKET&&eo[no+2].codePoint===AsciiCodePoint.UPPERCASE_C&&eo[no+3].codePoint===AsciiCodePoint.UPPERCASE_D&&eo[no+4].codePoint===AsciiCodePoint.UPPERCASE_A&&eo[no+5].codePoint===AsciiCodePoint.UPPERCASE_T&&eo[no+6].codePoint===AsciiCodePoint.UPPERCASE_A?no+7:null}function eatEndCondition5(eo,to,ro){for(let no=to;no<ro;++no)if(eo[no].codePoint===AsciiCodePoint.CLOSE_BRACKET&&no+2<ro&&eo[no+1].codePoint===AsciiCodePoint.CLOSE_BRACKET&&eo[no+2].codePoint===AsciiCodePoint.CLOSE_ANGLE)return no+3;return null}const includedTags=["address","article","aside","base","basefont","blockquote","body","caption","center","col","colgroup","dd","details","dialog","dir","div","dl","dt","fieldset","figcaption","figure","footer","form","frame","frameset","h1","h2","h3","h4","h5","h6","head","header","hr","html","iframe","legend","li","link","main","menu","menuitem","nav","noframes","ol","optgroup","option","p","param","section","source","summary","table","tbody","td","tfoot","th","thead","title","tr","track","ul"];function eatStartCondition6(eo,to,ro,no){if(!includedTags.includes(no))return null;if(to>=ro)return ro;const oo=eo[to].codePoint;return isWhitespaceCharacter(oo)||oo===AsciiCodePoint.CLOSE_ANGLE?to+1:oo===AsciiCodePoint.SLASH&&to+1<ro&&eo[to+1].codePoint===AsciiCodePoint.CLOSE_ANGLE?to+2:null}const excludedTags=["pre","script","style"];function eatStartCondition7(eo,to,ro,no,oo){if(excludedTags.includes(no)||to>=ro)return null;let io=to;if(oo){for(;io<ro;){const so=eatHTMLAttribute(eo,io,ro);if(so==null)break;io=so.nextIndex}if(io=eatOptionalWhitespaces(eo,io,ro),io>=ro)return null;eo[io].codePoint===AsciiCodePoint.SLASH&&(io+=1)}else io=eatOptionalWhitespaces(eo,to,ro);if(io>=ro||eo[io].codePoint!==AsciiCodePoint.CLOSE_ANGLE)return null;for(io+=1;io<ro;++io)if(!isWhitespaceCharacter(eo[io].codePoint))return null;return ro}const match$d=function(){return{isContainingBlock:!1,eatOpener:eo,eatAndInterruptPreviousSibling:to,eatContinuationText:ro};function eo(io){if(io.countOfPrecedeSpaces>=4)return null;const{nodePoints:so,startIndex:ao,endIndex:lo,firstNonWhitespaceIndex:uo}=io;if(uo>=lo||so[uo].codePoint!==AsciiCodePoint.OPEN_ANGLE)return null;const co=uo+1,fo=no(so,co,lo);if(fo==null)return null;const{condition:ho}=fo;let po=!1;ho!==6&&ho!==7&&oo(so,fo.nextIndex,lo,ho)!=null&&(po=!0);const go=lo;return{token:{nodeType:HtmlType,position:{start:calcStartPoint(so,ao),end:calcEndPoint(so,go-1)},condition:ho,lines:[io]},nextIndex:go,saturated:po}}function to(io,so){const ao=eo(io);if(ao==null||ao.token.condition===7)return null;const{token:lo,nextIndex:uo}=ao;return{token:lo,nextIndex:uo,remainingSibling:so}}function ro(io,so){const{nodePoints:ao,endIndex:lo,firstNonWhitespaceIndex:uo}=io,co=oo(ao,uo,lo,so.condition);return co===-1?{status:"notMatched"}:(so.lines.push(io),co!=null?{status:"closing",nextIndex:lo}:{status:"opening",nextIndex:lo})}function no(io,so,ao){let lo=null;if(so>=ao)return null;if(lo=eatStartCondition2(io,so,ao),lo!=null)return{nextIndex:lo,condition:2};if(lo=eatStartCondition3(io,so,ao),lo!=null)return{nextIndex:lo,condition:3};if(lo=eatStartCondition4(io,so,ao),lo!=null)return{nextIndex:lo,condition:4};if(lo=eatStartCondition5(io,so,ao),lo!=null)return{nextIndex:lo,condition:5};if(io[so].codePoint!==AsciiCodePoint.SLASH){const go=so,vo=eatHTMLTagName(io,go,ao);if(vo==null)return null;const bo={startIndex:go,endIndex:vo},_o=calcStringFromNodePoints(io,bo.startIndex,bo.endIndex).toLowerCase();return lo=eatStartCondition1(io,bo.endIndex,ao,_o),lo!=null?{nextIndex:lo,condition:1}:(lo=eatStartCondition6(io,bo.endIndex,ao,_o),lo!=null?{nextIndex:lo,condition:6}:(lo=eatStartCondition7(io,bo.endIndex,ao,_o,!0),lo!=null?{nextIndex:lo,condition:7}:null))}const uo=so+1,co=eatHTMLTagName(io,uo,ao);if(co==null)return null;const fo={startIndex:uo,endIndex:co},po=calcStringFromNodePoints(io,fo.startIndex,fo.endIndex).toLowerCase();return lo=eatStartCondition6(io,fo.endIndex,ao,po),lo!=null?{nextIndex:lo,condition:6}:(lo=eatStartCondition7(io,fo.endIndex,ao,po,!1),lo!=null?{nextIndex:lo,condition:7}:null)}function oo(io,so,ao,lo){switch(lo){case 1:return eatEndCondition1(io,so,ao)==null?null:ao;case 2:return eatEndCondition2(io,so,ao)==null?null:ao;case 3:return eatEndCondition3(io,so,ao)==null?null:ao;case 4:return eatEndCondition4(io,so,ao)==null?null:ao;case 5:return eatEndCondition5(io,so,ao)==null?null:ao;case 6:case 7:return eatOptionalWhitespaces(io,so,ao)>=ao?-1:null}}},parse$e=function(eo){return{parse:to=>to.map(ro=>{const no=mergeContentLinesFaithfully(ro.lines);return eo.shouldReservePosition?{type:"html",position:ro.position,value:calcStringFromNodePoints(no)}:{type:"html",value:calcStringFromNodePoints(no)}})}},uniqueName$c="@yozora/tokenizer-html-block";class HtmlBlockTokenizer extends BaseBlockTokenizer{constructor(ro={}){super({name:ro.name??uniqueName$c,priority:ro.priority??TokenizerPriority.ATOMIC});Ws(this,"match",match$d);Ws(this,"parse",parse$e)}}function eatHtmlInlineCDataDelimiter(eo,to,ro){let no=to;if(no+11>=ro||eo[no+1].codePoint!==AsciiCodePoint.EXCLAMATION_MARK||eo[no+2].codePoint!==AsciiCodePoint.OPEN_BRACKET||eo[no+3].codePoint!==AsciiCodePoint.UPPERCASE_C||eo[no+4].codePoint!==AsciiCodePoint.UPPERCASE_D||eo[no+5].codePoint!==AsciiCodePoint.UPPERCASE_A||eo[no+6].codePoint!==AsciiCodePoint.UPPERCASE_T||eo[no+7].codePoint!==AsciiCodePoint.UPPERCASE_A||eo[no+8].codePoint!==AsciiCodePoint.OPEN_BRACKET)return null;const oo=no+9;for(no=oo;no<ro;++no)if(eo[no].codePoint===AsciiCodePoint.CLOSE_BRACKET){if(no+2>=ro)return null;if(eo[no+1].codePoint===AsciiCodePoint.CLOSE_BRACKET&&eo[no+2].codePoint===AsciiCodePoint.CLOSE_ANGLE)return{type:"full",startIndex:to,endIndex:no+3,htmlType:"cdata"}}return null}function eatHtmlInlineClosingDelimiter(eo,to,ro){let no=to;if(no+3>=ro||eo[no+1].codePoint!==AsciiCodePoint.SLASH)return null;const oo=no+2,io=eatHTMLTagName(eo,oo,ro);return io==null||(no=eatOptionalWhitespaces(eo,io,ro),no>=ro||eo[no].codePoint!==AsciiCodePoint.CLOSE_ANGLE)?null:{type:"full",startIndex:to,endIndex:no+1,htmlType:"closing",tagName:{startIndex:oo,endIndex:io}}}function eatHtmlInlineCommentDelimiter(eo,to,ro){let no=to;if(no+6>=ro||eo[no+1].codePoint!==AsciiCodePoint.EXCLAMATION_MARK||eo[no+2].codePoint!==AsciiCodePoint.MINUS_SIGN||eo[no+3].codePoint!==AsciiCodePoint.MINUS_SIGN||eo[no+4].codePoint===AsciiCodePoint.CLOSE_ANGLE||eo[no+4].codePoint===AsciiCodePoint.MINUS_SIGN&&eo[no+5].codePoint===AsciiCodePoint.CLOSE_ANGLE)return null;const oo=no+4;for(no=oo;no<ro;++no){if(eo[no].codePoint!==AsciiCodePoint.MINUS_SIGN)continue;let so=1;for(;no+so<ro&&eo[no+so].codePoint===AsciiCodePoint.MINUS_SIGN;so+=1);if(so<2)continue;return so>2||no+2>=ro||eo[no+2].codePoint!==AsciiCodePoint.CLOSE_ANGLE?null:{type:"full",startIndex:to,endIndex:no+3,htmlType:"comment"}}return null}function eatHtmlInlineDeclarationDelimiter(eo,to,ro){let no=to;if(no+4>=ro||eo[no+1].codePoint!==AsciiCodePoint.EXCLAMATION_MARK)return null;const oo=no+2;for(no=oo;no<ro;++no){const ao=eo[no];if(!isAsciiUpperLetter(ao.codePoint))break}if(no-oo<=0||no+1>=ro||!isWhitespaceCharacter(eo[no].codePoint))return null;const io=no,so=no+1;for(no=so;no<ro;++no)if(eo[no].codePoint===AsciiCodePoint.CLOSE_ANGLE)return{type:"full",startIndex:to,endIndex:no+1,htmlType:"declaration",tagName:{startIndex:oo,endIndex:io}};return null}function eatHtmlInlineInstructionDelimiter(eo,to,ro){let no=to;if(no+3>=ro||eo[no+1].codePoint!==AsciiCodePoint.QUESTION_MARK)return null;const oo=no+2;for(no=oo;no<ro;++no)if(eo[no].codePoint===AsciiCodePoint.QUESTION_MARK){if(no+1>=ro)return null;if(eo[no+1].codePoint===AsciiCodePoint.CLOSE_ANGLE)return{type:"full",startIndex:to,endIndex:no+2,htmlType:"instruction"}}return null}function eatHtmlInlineTokenOpenDelimiter(eo,to,ro){let no=to;if(no+2>=ro)return null;const oo=no+1,io=eatHTMLTagName(eo,oo,ro);if(io==null)return null;const so=[];for(no=io;no<ro;){const uo=eatHTMLAttribute(eo,no,ro);if(uo==null)break;so.push(uo.attribute),no=uo.nextIndex}if(no=eatOptionalWhitespaces(eo,no,ro),no>=ro)return null;let ao=!1;return eo[no].codePoint===AsciiCodePoint.SLASH&&(no+=1,ao=!0),no>=ro||eo[no].codePoint!==AsciiCodePoint.CLOSE_ANGLE?null:{type:"full",startIndex:to,endIndex:no+1,htmlType:"open",tagName:{startIndex:oo,endIndex:io},attributes:so,selfClosed:ao}}const match$c=function(eo){return{findDelimiter:()=>genFindDelimiter(to),processSingleDelimiter:ro};function to(no,oo){const io=eo.getNodePoints();for(let so=no;so<oo&&(so=eatOptionalWhitespaces(io,so,oo),!(so>=oo));++so)switch(io[so].codePoint){case AsciiCodePoint.BACKSLASH:so+=1;break;case AsciiCodePoint.OPEN_ANGLE:{const lo=tryToEatDelimiter(io,so,oo);if(lo!=null)return lo;break}}return null}function ro(no){return[{...no,nodeType:HtmlType}]}};function tryToEatDelimiter(eo,to,ro){let no=null;return no=eatHtmlInlineTokenOpenDelimiter(eo,to,ro),no!=null||(no=eatHtmlInlineClosingDelimiter(eo,to,ro),no!=null)||(no=eatHtmlInlineCommentDelimiter(eo,to,ro),no!=null)||(no=eatHtmlInlineInstructionDelimiter(eo,to,ro),no!=null)||(no=eatHtmlInlineDeclarationDelimiter(eo,to,ro),no!=null)||(no=eatHtmlInlineCDataDelimiter(eo,to,ro)),no}const parse$d=function(eo){return{parse:to=>to.map(ro=>{const{startIndex:no,endIndex:oo}=ro,io=eo.getNodePoints(),so=calcStringFromNodePoints(io,no,oo);return eo.shouldReservePosition?{type:HtmlType,position:eo.calcPosition(ro),value:so}:{type:HtmlType,value:so}})}},uniqueName$b="@yozora/tokenizer-html-inline";class HtmlInlineTokenizer extends BaseInlineTokenizer{constructor(ro={}){super({name:ro.name??uniqueName$b,priority:ro.priority??TokenizerPriority.ATOMIC});Ws(this,"match",match$c);Ws(this,"parse",parse$d)}}const checkBalancedBracketsStatus=(eo,to,ro,no)=>{let oo=eo,io=0;const so=()=>{switch(no[oo].codePoint){case AsciiCodePoint.BACKSLASH:oo+=1;break;case AsciiCodePoint.OPEN_BRACKET:io+=1;break;case AsciiCodePoint.CLOSE_BRACKET:io-=1;break}};for(const ao of ro)if(!(ao.startIndex<eo)){if(ao.endIndex>to)break;for(;oo<ao.startIndex;++oo)if(so(),io<0)return-1;oo=ao.endIndex}for(;oo<to;++oo)if(so(),io<0)return-1;return io>0?1:0};function eatLinkDestination(eo,to,ro){if(to>=ro)return-1;let no=to;switch(eo[no].codePoint){case AsciiCodePoint.OPEN_ANGLE:{for(no+=1;no<ro;++no)switch(eo[no].codePoint){case AsciiCodePoint.BACKSLASH:no+=1;break;case AsciiCodePoint.OPEN_ANGLE:case VirtualCodePoint.LINE_END:return-1;case AsciiCodePoint.CLOSE_ANGLE:return no+1}return-1}default:{let oo=0;for(;no<ro;++no){const io=eo[no].codePoint;switch(io){case AsciiCodePoint.BACKSLASH:no+=1;break;case AsciiCodePoint.OPEN_PARENTHESIS:oo+=1;break;case AsciiCodePoint.CLOSE_PARENTHESIS:if(oo-=1,oo<0)return no;break;default:if(isWhitespaceCharacter(io)||isAsciiControlCharacter(io))return no;break}}return oo===0?no:-1}}}function eatLinkTitle(eo,to,ro){if(to>=ro)return-1;let no=to;const oo=eo[no].codePoint;switch(oo){case AsciiCodePoint.DOUBLE_QUOTE:case AsciiCodePoint.SINGLE_QUOTE:{for(no+=1;no<ro;++no){const io=eo[no];switch(io.codePoint){case AsciiCodePoint.BACKSLASH:no+=1;break;case oo:return no+1;case VirtualCodePoint.LINE_END:{const so=eatOptionalBlankLines(eo,to,no);if(eo[so].line>io.line+1)return-1;break}}}break}case AsciiCodePoint.OPEN_PARENTHESIS:{let io=1;for(no+=1;no<ro;++no){const so=eo[no];switch(so.codePoint){case AsciiCodePoint.BACKSLASH:no+=1;break;case VirtualCodePoint.LINE_END:{const ao=eatOptionalBlankLines(eo,to,no);if(eo[ao].line>so.line+1)return-1;break}case AsciiCodePoint.OPEN_PARENTHESIS:io+=1;break;case AsciiCodePoint.CLOSE_PARENTHESIS:if(io-=1,io===0)return no+1;break}}break}case AsciiCodePoint.CLOSE_PARENTHESIS:return no;default:return-1}return-1}const match$b=function(eo){return{findDelimiter:()=>genFindDelimiter(to),isDelimiterPair:ro,processDelimiterPair:no};function to(oo,io){const so=eo.getNodePoints(),ao=eo.getBlockEndIndex();for(let lo=oo;lo<io;++lo)switch(so[lo].codePoint){case AsciiCodePoint.BACKSLASH:lo+=1;break;case AsciiCodePoint.OPEN_BRACKET:return{type:"opener",startIndex:lo,endIndex:lo+1};case AsciiCodePoint.CLOSE_BRACKET:{if(lo+1>=io||so[lo+1].codePoint!==AsciiCodePoint.OPEN_PARENTHESIS)break;const co=eatOptionalWhitespaces(so,lo+2,ao),fo=eatLinkDestination(so,co,ao);if(fo<0)break;const ho=eatOptionalWhitespaces(so,fo,ao),po=eatLinkTitle(so,ho,ao);if(po<0)break;const go=lo,vo=eatOptionalWhitespaces(so,po,ao)+1;if(vo>ao||so[vo-1].codePoint!==AsciiCodePoint.CLOSE_PARENTHESIS)break;return{type:"closer",startIndex:go,endIndex:vo,destinationContent:co<fo?{startIndex:co,endIndex:fo}:void 0,titleContent:ho<po?{startIndex:ho,endIndex:po}:void 0}}}return null}function ro(oo,io,so){const ao=eo.getNodePoints();if(so.find(isLinkToken)!=null)return{paired:!1,opener:!1,closer:!1};switch(checkBalancedBracketsStatus(oo.endIndex,io.startIndex,so,ao)){case-1:return{paired:!1,opener:!1,closer:!0};case 0:return{paired:!0};case 1:return{paired:!1,opener:!0,closer:!1}}}function no(oo,io,so){const ao=eo.resolveInternalTokens(so,oo.endIndex,io.startIndex);return{tokens:[{nodeType:LinkType,startIndex:oo.startIndex,endIndex:io.endIndex,destinationContent:io.destinationContent,titleContent:io.titleContent,children:ao}]}}},parse$c=function(eo){return{parse:to=>to.map(ro=>{const no=eo.getNodePoints();let oo="";if(ro.destinationContent!=null){let{startIndex:lo,endIndex:uo}=ro.destinationContent;no[lo].codePoint===AsciiCodePoint.OPEN_ANGLE&&(lo+=1,uo-=1);const co=calcEscapedStringFromNodePoints(no,lo,uo,!0);oo=eo.formatUrl(co)}let io;if(ro.titleContent!=null){const{startIndex:lo,endIndex:uo}=ro.titleContent;io=calcEscapedStringFromNodePoints(no,lo+1,uo-1)}const so=eo.parseInlineTokens(ro.children);return eo.shouldReservePosition?{type:LinkType,position:eo.calcPosition(ro),url:oo,title:io,children:so}:{type:LinkType,url:oo,title:io,children:so}})}},uniqueName$a="@yozora/tokenizer-link";class LinkTokenizer extends BaseInlineTokenizer{constructor(ro={}){super({name:ro.name??uniqueName$a,priority:ro.priority??TokenizerPriority.LINKS});Ws(this,"match",match$b);Ws(this,"parse",parse$c)}}function calcImageAlt(eo){return eo.map(to=>to.value!=null?to.value:to.alt!=null?to.alt:to.children!=null?calcImageAlt(to.children):"").join("")}const match$a=function(eo){return{findDelimiter:()=>genFindDelimiter(to),isDelimiterPair:ro,processDelimiterPair:no};function to(oo,io){const so=eo.getNodePoints(),ao=eo.getBlockEndIndex();for(let lo=oo;lo<io;++lo)switch(so[lo].codePoint){case AsciiCodePoint.BACKSLASH:lo+=1;break;case AsciiCodePoint.EXCLAMATION_MARK:{if(lo+1<io&&so[lo+1].codePoint===AsciiCodePoint.OPEN_BRACKET)return{type:"opener",startIndex:lo,endIndex:lo+2};break}case AsciiCodePoint.CLOSE_BRACKET:{if(lo+1>=io||so[lo+1].codePoint!==AsciiCodePoint.OPEN_PARENTHESIS)break;const co=eatOptionalWhitespaces(so,lo+2,ao),fo=eatLinkDestination(so,co,ao);if(fo<0)break;const ho=eatOptionalWhitespaces(so,fo,ao),po=eatLinkTitle(so,ho,ao);if(po<0)break;const go=lo,vo=eatOptionalWhitespaces(so,po,ao)+1;if(vo>ao||so[vo-1].codePoint!==AsciiCodePoint.CLOSE_PARENTHESIS)break;return{type:"closer",startIndex:go,endIndex:vo,destinationContent:co<fo?{startIndex:co,endIndex:fo}:void 0,titleContent:ho<po?{startIndex:ho,endIndex:po}:void 0}}}return null}function ro(oo,io,so){const ao=eo.getNodePoints();switch(checkBalancedBracketsStatus(oo.endIndex,io.startIndex,so,ao)){case-1:return{paired:!1,opener:!1,closer:!0};case 0:return{paired:!0};case 1:return{paired:!1,opener:!0,closer:!1}}}function no(oo,io,so){return{tokens:[{nodeType:ImageType$1,startIndex:oo.startIndex,endIndex:io.endIndex,destinationContent:io.destinationContent,titleContent:io.titleContent,children:eo.resolveInternalTokens(so,oo.endIndex,io.startIndex)}]}}},parse$b=function(eo){return{parse:to=>to.map(ro=>{const no=eo.getNodePoints();let oo="";if(ro.destinationContent!=null){let{startIndex:uo,endIndex:co}=ro.destinationContent;no[uo].codePoint===AsciiCodePoint.OPEN_ANGLE&&(uo+=1,co-=1);const fo=calcEscapedStringFromNodePoints(no,uo,co,!0);oo=eo.formatUrl(fo)}const io=eo.parseInlineTokens(ro.children),so=calcImageAlt(io);let ao;if(ro.titleContent!=null){const{startIndex:uo,endIndex:co}=ro.titleContent;ao=calcEscapedStringFromNodePoints(no,uo+1,co-1)}return eo.shouldReservePosition?{type:ImageType$1,position:eo.calcPosition(ro),url:oo,alt:so,title:ao}:{type:ImageType$1,url:oo,alt:so,title:ao}})}},uniqueName$9="@yozora/tokenizer-image";class ImageTokenizer extends BaseInlineTokenizer{constructor(ro={}){super({name:ro.name??uniqueName$9,priority:ro.priority??TokenizerPriority.LINKS});Ws(this,"match",match$a);Ws(this,"parse",parse$b)}}const match$9=function(eo){return{findDelimiter:()=>genFindDelimiter(to),isDelimiterPair:ro,processDelimiterPair:no};function to(oo,io){const so=eo.getNodePoints();for(let ao=oo;ao<io;++ao)switch(so[ao].codePoint){case AsciiCodePoint.BACKSLASH:ao+=1;break;case AsciiCodePoint.EXCLAMATION_MARK:{if(ao+1>=io||so[ao+1].codePoint!==AsciiCodePoint.OPEN_BRACKET)break;return{type:"opener",startIndex:ao,endIndex:ao+2,brackets:[]}}case AsciiCodePoint.CLOSE_BRACKET:{const uo={type:"closer",startIndex:ao,endIndex:ao+1,brackets:[]};if(ao+1>=io||so[ao+1].codePoint!==AsciiCodePoint.OPEN_BRACKET)return uo;const co=eatLinkLabel(so,ao+1,io);return co.nextIndex<0?uo:co.labelAndIdentifier==null?{type:"closer",startIndex:ao,endIndex:co.nextIndex,brackets:[{startIndex:ao+1,endIndex:co.nextIndex}]}:{type:"closer",startIndex:ao,endIndex:co.nextIndex,brackets:[{startIndex:ao+1,endIndex:co.nextIndex,label:co.labelAndIdentifier.label,identifier:co.labelAndIdentifier.identifier}]}}}return null}function ro(oo,io,so){const ao=eo.getNodePoints();switch(checkBalancedBracketsStatus(oo.endIndex,io.startIndex,so,ao)){case-1:return{paired:!1,opener:!1,closer:!0};case 0:return{paired:!0};case 1:return{paired:!1,opener:!0,closer:!1}}}function no(oo,io,so){const ao=eo.getNodePoints(),lo=io.brackets[0];if(lo!=null&&lo.identifier!=null)return eo.hasDefinition(lo.identifier)?{tokens:[{nodeType:ImageReferenceType,startIndex:oo.startIndex,endIndex:lo.endIndex,referenceType:"full",label:lo.label,identifier:lo.identifier,children:eo.resolveInternalTokens(so,oo.endIndex,io.startIndex)}]}:{tokens:so};const{nextIndex:uo,labelAndIdentifier:co}=eatLinkLabel(ao,oo.endIndex-1,io.startIndex+1);return uo===io.startIndex+1&&co!=null&&eo.hasDefinition(co.identifier)?{tokens:[{nodeType:ImageReferenceType,startIndex:oo.startIndex,endIndex:io.endIndex,referenceType:lo==null?"shortcut":"collapsed",label:co.label,identifier:co.identifier,children:eo.resolveInternalTokens(so,oo.endIndex,io.startIndex)}]}:{tokens:so}}},parse$a=function(eo){return{parse:to=>to.map(ro=>{const{identifier:no,label:oo,referenceType:io}=ro,so=eo.parseInlineTokens(ro.children),ao=calcImageAlt(so);return eo.shouldReservePosition?{type:ImageReferenceType,position:eo.calcPosition(ro),identifier:no,label:oo,referenceType:io,alt:ao}:{type:ImageReferenceType,identifier:no,label:oo,referenceType:io,alt:ao}})}},uniqueName$8="@yozora/tokenizer-image-reference";class ImageReferenceTokenizer extends BaseInlineTokenizer{constructor(ro={}){super({name:ro.name??uniqueName$8,priority:ro.priority??TokenizerPriority.LINKS});Ws(this,"match",match$9);Ws(this,"parse",parse$a)}}const match$8=function(){return{isContainingBlock:!1,eatOpener:eo,eatContinuationText:to};function eo(ro){if(ro.countOfPrecedeSpaces<4)return null;const{nodePoints:no,startIndex:oo,firstNonWhitespaceIndex:io,endIndex:so}=ro;let ao=oo+4;if(no[oo].codePoint===AsciiCodePoint.SPACE&&no[oo+3].codePoint===VirtualCodePoint.SPACE){let co=oo+1;for(;co<io&&no[co].codePoint!==VirtualCodePoint.SPACE;++co);ao=co+4}const lo=so;return{token:{nodeType:CodeType,position:{start:calcStartPoint(no,oo),end:calcEndPoint(no,lo-1)},lines:[{nodePoints:no,startIndex:ao,endIndex:so,firstNonWhitespaceIndex:io,countOfPrecedeSpaces:ro.countOfPrecedeSpaces-(ao-oo)}]},nextIndex:lo}}function to(ro,no){const{nodePoints:oo,startIndex:io,endIndex:so,firstNonWhitespaceIndex:ao,countOfPrecedeSpaces:lo}=ro;if(lo<4&&ao<so)return{status:"notMatched"};const uo=Math.min(so-1,io+4);return no.lines.push({nodePoints:oo,startIndex:uo,endIndex:so,firstNonWhitespaceIndex:ao,countOfPrecedeSpaces:lo-(uo-io)}),{status:"opening",nextIndex:so}}},parse$9=function(eo){return{parse:to=>to.map(ro=>{const{lines:no}=ro;let oo=0,io=no.length;for(;oo<io;++oo){const uo=no[oo];if(uo.firstNonWhitespaceIndex<uo.endIndex)break}for(;oo<io;--io){const uo=no[io-1];if(uo.firstNonWhitespaceIndex<uo.endIndex)break}const so=mergeContentLinesFaithfully(no,oo,io);let ao=calcStringFromNodePoints(so);return/\n$/.test(ao)||(ao+=`
+`),eo.shouldReservePosition?{type:CodeType,position:ro.position,lang:null,meta:null,value:ao}:{type:CodeType,lang:null,meta:null,value:ao}})}},uniqueName$7="@yozora/tokenizer-indented-code";class IndentedCodeTokenizer extends BaseBlockTokenizer{constructor(ro={}){super({name:ro.name??uniqueName$7,priority:ro.priority??TokenizerPriority.ATOMIC});Ws(this,"match",match$8);Ws(this,"parse",parse$9)}}const match$7=function(eo){return{findDelimiter:to,processSingleDelimiter:ro};function*to(){const no=eo.getNodePoints(),oo=eo.getBlockStartIndex(),io=eo.getBlockEndIndex(),so=[];for(let co=oo;co<io;++co){const fo=no[co].codePoint;switch(fo){case AsciiCodePoint.BACKSLASH:{if(co+=1,co<io&&no[co].codePoint===AsciiCodePoint.BACKTICK){const ho=eatOptionalCharacters(no,co+1,io,AsciiCodePoint.BACKTICK);so.push({type:"closer",startIndex:co,endIndex:ho}),ho>co+1&&so.push({type:"opener",startIndex:co+1,endIndex:ho}),co=ho-1}break}case AsciiCodePoint.BACKTICK:{const ho=co,po=eatOptionalCharacters(no,co+1,io,fo);so.push({type:"both",startIndex:ho,endIndex:po}),co=po-1;break}}}let ao=0,lo=-1,uo=null;for(;ao<so.length;){const[co,fo]=yield uo;if(lo===fo&&(uo==null||uo.startIndex>=co))continue;lo=fo;let ho=null,po=null;for(;ao<so.length;++ao){for(;ao<so.length;++ao){const vo=so[ao];if(vo.startIndex>=co&&vo.type!=="closer")break}if(ao+1>=so.length)return;ho=so[ao];const go=ho.endIndex-ho.startIndex;for(let vo=ao+1;vo<so.length;++vo){const bo=so[vo];if(bo.type!=="opener"&&bo.endIndex-bo.startIndex===go){po=bo;break}}if(po!=null)break}if(po==null)return;uo={type:"full",startIndex:ho.startIndex,endIndex:po.endIndex,thickness:po.endIndex-po.startIndex}}}function ro(no){return[{nodeType:InlineCodeType,startIndex:no.startIndex,endIndex:no.endIndex,thickness:no.thickness}]}},parse$8=function(eo){return{parse:to=>to.map(ro=>{const no=eo.getNodePoints();let oo=ro.startIndex+ro.thickness,io=ro.endIndex-ro.thickness,so=!0;for(let uo=oo;uo<io;++uo)if(!isSpaceLike(no[uo].codePoint)){so=!1;break}if(!so&&oo+2<io){const uo=no[oo].codePoint,co=no[io-1].codePoint;isSpaceLike(uo)&&isSpaceLike(co)&&(oo+=1,io-=1)}const ao=calcStringFromNodePoints(no,oo,io).replace(/\n/g," ");return eo.shouldReservePosition?{type:InlineCodeType,position:eo.calcPosition(ro),value:ao}:{type:InlineCodeType,value:ao}})}},uniqueName$6="@yozora/tokenizer-inline-code";class InlineCodeTokenizer extends BaseInlineTokenizer{constructor(ro={}){super({name:ro.name??uniqueName$6,priority:ro.priority??TokenizerPriority.ATOMIC});Ws(this,"match",match$7);Ws(this,"parse",parse$8)}}const match$6=function(eo){return{findDelimiter:()=>genFindDelimiter(to),isDelimiterPair:ro,processDelimiterPair:no,processSingleDelimiter:oo};function to(io,so){const ao=eo.getNodePoints();for(let lo=io;lo<so;++lo)switch(ao[lo].codePoint){case AsciiCodePoint.BACKSLASH:lo+=1;break;case AsciiCodePoint.OPEN_BRACKET:{const co=[],fo={type:"opener",startIndex:lo,endIndex:lo+1,brackets:co},ho=eatLinkLabel(ao,lo,so);if(ho.nextIndex<0)return fo;if(ho.labelAndIdentifier==null){lo=ho.nextIndex-1;break}for(co.push({startIndex:lo,endIndex:ho.nextIndex,label:ho.labelAndIdentifier.label,identifier:ho.labelAndIdentifier.identifier}),lo=ho.nextIndex;lo<so&&ao[lo].codePoint===AsciiCodePoint.OPEN_BRACKET;){const{labelAndIdentifier:po,nextIndex:go}=eatLinkLabel(ao,lo,so);if(go===-1)return fo.type="opener",fo.endIndex=lo+1,fo;const vo={startIndex:lo,endIndex:go};if(fo.type="full",fo.endIndex=go,co.push(vo),po==null)break;vo.label=po.label,vo.identifier=po.identifier,lo=go}return fo}case AsciiCodePoint.CLOSE_BRACKET:{if(lo+1>=so||ao[lo+1].codePoint!==AsciiCodePoint.OPEN_BRACKET)break;const co=eatLinkLabel(ao,lo+1,so);if(co.nextIndex===-1)return{type:"opener",startIndex:lo+1,endIndex:lo+2,brackets:[]};if(co.labelAndIdentifier==null){lo=co.nextIndex-1;break}const fo=[{startIndex:lo+1,endIndex:co.nextIndex,label:co.labelAndIdentifier.label,identifier:co.labelAndIdentifier.identifier}],ho={type:"closer",startIndex:lo,endIndex:co.nextIndex,brackets:fo};for(lo=co.nextIndex;lo<so&&ao[lo].codePoint===AsciiCodePoint.OPEN_BRACKET;){const{labelAndIdentifier:po,nextIndex:go}=eatLinkLabel(ao,lo,so);if(go===-1)return ho.type="both",ho.endIndex=lo+1,ho;const vo={startIndex:lo,endIndex:go};if(ho.type="full",ho.endIndex=go,fo.push(vo),po==null)break;vo.label=po.label,vo.identifier=po.identifier,lo=go}return ho}}return null}function ro(io,so,ao){if(ao.find(isLinkToken)!=null)return{paired:!1,opener:!1,closer:!1};const uo=eo.getNodePoints();switch(checkBalancedBracketsStatus(io.endIndex,so.startIndex,ao,uo)){case-1:return{paired:!1,opener:!1,closer:!0};case 0:{const fo=so.brackets[0];return fo==null||fo.identifier==null||!eo.hasDefinition(fo.identifier)?{paired:!1,opener:!1,closer:!1}:{paired:!0}}case 1:return{paired:!1,opener:!0,closer:!1}}}function no(io,so,ao){const lo=oo(io),[uo,...co]=so.brackets;return lo.push({nodeType:LinkReferenceType,startIndex:io.endIndex-1,endIndex:uo.endIndex,referenceType:"full",label:uo.label,identifier:uo.identifier,children:eo.resolveInternalTokens(ao,io.endIndex,so.startIndex)}),{tokens:lo,remainCloserDelimiter:{type:so.type==="both"?"opener":"full",startIndex:uo.endIndex,endIndex:so.endIndex,brackets:co}}}function oo(io){const so=[],ao=io.brackets;if(ao.length<=0)return so;let lo=0,uo=-1;for(;lo<ao.length;++lo){let co=null;for(;lo<ao.length&&(co=ao[lo],!(co.identifier!=null&&eo.hasDefinition(co.identifier)));++lo);if(co==null||lo>=ao.length)break;if(uo+1<lo){const fo=ao[lo-1];so.push({nodeType:LinkReferenceType,startIndex:fo.startIndex,endIndex:co.endIndex,referenceType:"full",label:co.label,identifier:co.identifier,children:eo.resolveInternalTokens([],fo.startIndex+1,fo.endIndex-1)}),uo=lo;continue}if(lo+1===ao.length){so.push({nodeType:LinkReferenceType,startIndex:co.startIndex,endIndex:co.endIndex,referenceType:"shortcut",label:co.label,identifier:co.identifier,children:eo.resolveInternalTokens([],co.startIndex+1,co.endIndex-1)});break}if(lo+1<ao.length&&ao[lo+1].identifier==null){const fo=ao[lo+1];so.push({nodeType:LinkReferenceType,startIndex:co.startIndex,endIndex:fo.endIndex,referenceType:"collapsed",label:co.label,identifier:co.identifier,children:eo.resolveInternalTokens([],co.startIndex+1,co.endIndex-1)});break}}return so}},parse$7=function(eo){return{parse:to=>to.map(ro=>{const{identifier:no,label:oo,referenceType:io}=ro,so=eo.parseInlineTokens(ro.children);return eo.shouldReservePosition?{type:LinkReferenceType,position:eo.calcPosition(ro),identifier:no,label:oo,referenceType:io,children:so}:{type:LinkReferenceType,identifier:no,label:oo,referenceType:io,children:so}})}},uniqueName$5="@yozora/tokenizer-link-reference";class LinkReferenceTokenizer extends BaseInlineTokenizer{constructor(ro={}){super({name:ro.name??uniqueName$5,priority:ro.priority??TokenizerPriority.LINKS});Ws(this,"match",match$6);Ws(this,"parse",parse$7)}}const match$5=function(){const{emptyItemCouldNotInterruptedTypes:eo,enableTaskListItem:to}=this;return{isContainingBlock:!0,eatOpener:ro,eatAndInterruptPreviousSibling:no,eatContinuationText:oo};function ro(io){if(io.countOfPrecedeSpaces>=4)return null;const{nodePoints:so,startIndex:ao,endIndex:lo,firstNonWhitespaceIndex:uo}=io;if(uo>=lo)return null;let co=!1,fo=null,ho,po,go=uo,vo=so[go].codePoint;if(go+1<lo){const wo=vo;if(isAsciiDigitCharacter(wo)){ho="1";let Co=wo-AsciiCodePoint.DIGIT0;for(go+=1;go<lo&&(vo=so[go].codePoint,!!isAsciiDigitCharacter(vo));++go)Co=Co*10+vo-AsciiCodePoint.DIGIT0;po=Co,ho="1"}else isAsciiLowerLetter(wo)?(go+=1,vo=so[go].codePoint,po=wo-AsciiCodePoint.LOWERCASE_A+1,ho="a"):isAsciiUpperLetter(wo)&&(go+=1,vo=so[go].codePoint,po=wo-AsciiCodePoint.UPPERCASE_A+1,ho="A");go>uo&&go-uo<=9&&(vo===AsciiCodePoint.DOT||vo===AsciiCodePoint.CLOSE_PARENTHESIS)&&(go+=1,co=!0,fo=vo)}if(co||(vo===AsciiCodePoint.PLUS_SIGN||vo===AsciiCodePoint.MINUS_SIGN||vo===AsciiCodePoint.ASTERISK)&&(go+=1,fo=vo),fo==null)return null;let bo=0,xo=go;for(xo<lo&&(vo=so[xo].codePoint,vo===VirtualCodePoint.SPACE&&(xo+=1));xo<lo&&(vo=so[xo].codePoint,!!isSpaceCharacter(vo));++xo)bo+=1;if(bo>4&&(xo-=bo-1,bo=1),bo===0&&xo<lo&&vo!==VirtualCodePoint.LINE_END)return null;const _o=vo===VirtualCodePoint.LINE_END?1:-1;vo===VirtualCodePoint.LINE_END&&(xo-=bo-1,bo=1);const Eo=go-ao+bo;let So=null;to&&({status:So,nextIndex:xo}=eatTaskStatus(so,xo,lo));const To={nodeType:ListType,position:{start:calcStartPoint(so,ao),end:calcEndPoint(so,xo-1)},ordered:co,marker:fo,orderType:co?ho:void 0,order:co?po:void 0,indent:Eo,countOfTopBlankLine:_o,children:[]};return So!=null&&(To.status=So),{token:To,nextIndex:xo}}function no(io,so){const ao=ro(io);if(ao==null)return null;const{token:lo,nextIndex:uo}=ao;return eo.includes(so.nodeType)&&(lo.indent===io.endIndex-io.startIndex||lo.ordered&&lo.order!==1)?null:{token:lo,nextIndex:uo,remainingSibling:so}}function oo(io,so){const{startIndex:ao,endIndex:lo,firstNonWhitespaceIndex:uo,countOfPrecedeSpaces:co}=io;if(uo<lo&&co<so.indent)return{status:"notMatched"};if(uo>=lo){if(so.countOfTopBlankLine>=0&&(so.countOfTopBlankLine+=1,so.countOfTopBlankLine>1))return{status:"notMatched"}}else so.countOfTopBlankLine=-1;return{status:"opening",nextIndex:Math.min(ao+so.indent,lo-1)}}};function eatTaskStatus(eo,to,ro){let no=to;for(;no<ro;++no){const so=eo[no].codePoint;if(!isSpaceCharacter(so))break}if(no+3>=ro||eo[no].codePoint!==AsciiCodePoint.OPEN_BRACKET||eo[no+2].codePoint!==AsciiCodePoint.CLOSE_BRACKET||!isWhitespaceCharacter(eo[no+3].codePoint))return{status:null,nextIndex:to};let oo;switch(eo[no+1].codePoint){case AsciiCodePoint.SPACE:oo=TaskStatus.TODO;break;case AsciiCodePoint.MINUS_SIGN:oo=TaskStatus.DOING;break;case AsciiCodePoint.LOWERCASE_X:case AsciiCodePoint.UPPERCASE_X:oo=TaskStatus.DONE;break;default:return{status:null,nextIndex:to}}return{status:oo,nextIndex:no+4}}const parse$6=function(eo){return{parse:to=>{const ro=[];let no=[];for(let io=0;io<to.length;++io){const so=to[io];if(no.length<=0||no[0].ordered!==so.ordered||no[0].orderType!==so.orderType||no[0].marker!==so.marker){const ao=resolveList(no,eo);ao&&ro.push(ao),no=[so];continue}no.push(so)}const oo=resolveList(no,eo);return oo&&ro.push(oo),ro}}},resolveList=(eo,to)=>{if(eo.length<=0)return null;let ro=eo.some(io=>{if(io.children==null||io.children.length<=1)return!1;let so=io.children[0].position;for(let ao=1;ao<io.children.length;++ao){const lo=io.children[ao].position;if(so.end.line+1<lo.start.line)return!0;so=lo}return!1});if(!ro&&eo.length>1){let io=eo[0];for(let so=1;so<eo.length;++so){const ao=eo[so];if(io.position.end.line+1<ao.position.start.line){ro=!0;break}io=ao}}const no=eo.map(io=>{const so=to.parseBlockTokens(io.children),ao=ro?so:so.map(uo=>uo.type===ParagraphType$1?uo.children:uo).flat();return to.shouldReservePosition?{type:ListItemType,position:io.position,status:io.status,children:ao}:{type:ListItemType,status:io.status,children:ao}});return to.shouldReservePosition?{type:ListType,position:{start:{...eo[0].position.start},end:{...eo[eo.length-1].position.end}},ordered:eo[0].ordered,orderType:eo[0].orderType,start:eo[0].order,marker:eo[0].marker,spread:ro,children:no}:{type:ListType,ordered:eo[0].ordered,orderType:eo[0].orderType,start:eo[0].order,marker:eo[0].marker,spread:ro,children:no}},uniqueName$4="@yozora/tokenizer-list";class ListTokenizer extends BaseBlockTokenizer{constructor(ro={}){super({name:ro.name??uniqueName$4,priority:ro.priority??TokenizerPriority.CONTAINING_BLOCK});Ws(this,"enableTaskListItem");Ws(this,"emptyItemCouldNotInterruptedTypes");Ws(this,"match",match$5);Ws(this,"parse",parse$6);this.enableTaskListItem=ro.enableTaskListItem??!1,this.emptyItemCouldNotInterruptedTypes=ro.emptyItemCouldNotInterruptedTypes??[ParagraphType$1]}}const match$4=function(){return{isContainingBlock:!1,eatOpener:eo,eatContinuationText:to,eatLazyContinuationText:ro};function eo(no){const{endIndex:oo,firstNonWhitespaceIndex:io}=no;if(io>=oo)return null;const so=[no],ao=calcPositionFromPhrasingContentLines(so);return{token:{nodeType:ParagraphType$1,position:ao,lines:so},nextIndex:oo}}function to(no,oo){const{endIndex:io,firstNonWhitespaceIndex:so}=no;return so>=io?{status:"notMatched"}:(oo.lines.push(no),{status:"opening",nextIndex:io})}function ro(no,oo){return to(no,oo)}},parse$5=function(eo){return{parse:to=>{const ro=[];for(const no of to){const oo=mergeAndStripContentLines(no.lines),io=eo.processInlines(oo);if(io.length<=0)continue;const so=eo.shouldReservePosition?{type:ParagraphType$1,position:no.position,children:io}:{type:ParagraphType$1,children:io};ro.push(so)}return ro}}},uniqueName$3="@yozora/tokenizer-paragraph";class ParagraphTokenizer extends BaseBlockTokenizer{constructor(ro={}){super({name:ro.name??uniqueName$3,priority:ro.priority??TokenizerPriority.FALLBACK});Ws(this,"match",match$4);Ws(this,"parse",parse$5)}extractPhrasingContentLines(ro){return ro.lines}buildBlockToken(ro){const no=trimBlankLines(ro);if(no.length<=0)return null;const oo=calcPositionFromPhrasingContentLines(no);return{nodeType:ParagraphType$1,lines:no,position:oo}}}const match$3=function(eo){return{isContainingBlock:!1,eatOpener:to,eatAndInterruptPreviousSibling:ro};function to(){return null}function ro(no,oo){const{nodePoints:io,endIndex:so,firstNonWhitespaceIndex:ao,countOfPrecedeSpaces:lo}=no;if(lo>=4||ao>=so)return null;let uo=null,co=!1;for(let go=ao;go<so;++go){const vo=io[go];if(vo.codePoint===VirtualCodePoint.LINE_END)break;if(isUnicodeWhitespaceCharacter(vo.codePoint)){co=!0;continue}if(co||vo.codePoint!==AsciiCodePoint.EQUALS_SIGN&&vo.codePoint!==AsciiCodePoint.MINUS_SIGN||uo!=null&&uo!==vo.codePoint){uo=null;break}uo=vo.codePoint}if(uo==null)return null;const fo=eo.extractPhrasingLines(oo);if(fo==null)return null;const ho=so;return{token:{nodeType:HeadingType,position:{start:calcStartPoint(fo[0].nodePoints,fo[0].startIndex),end:calcEndPoint(io,ho-1)},marker:uo,lines:fo},nextIndex:ho,saturated:!0,remainingSibling:null}}},parse$4=function(eo){return{parse:to=>to.map(ro=>{let no=1;switch(ro.marker){case AsciiCodePoint.EQUALS_SIGN:no=1;break;case AsciiCodePoint.MINUS_SIGN:no=2;break}const oo=mergeAndStripContentLines(ro.lines),io=eo.processInlines(oo);return eo.shouldReservePosition?{type:HeadingType,position:ro.position,depth:no,children:io}:{type:HeadingType,depth:no,children:io}})}},uniqueName$2="@yozora/tokenizer-setext-heading";class SetextHeadingTokenizer extends BaseBlockTokenizer{constructor(ro={}){super({name:ro.name??uniqueName$2,priority:ro.priority??TokenizerPriority.ATOMIC});Ws(this,"match",match$3);Ws(this,"parse",parse$4)}}const match$2=function(){return{findDelimiter:()=>genFindDelimiter((eo,to)=>({type:"full",startIndex:eo,endIndex:to})),processSingleDelimiter:eo=>[{nodeType:TextType$1,startIndex:eo.startIndex,endIndex:eo.endIndex}]}},parse$3=function(eo){return{parse:to=>to.map(ro=>{const no=eo.getNodePoints();let oo=calcEscapedStringFromNodePoints(no,ro.startIndex,ro.endIndex);return oo=stripSpaces(oo),eo.shouldReservePosition?{type:TextType$1,position:eo.calcPosition(ro),value:oo}:{type:TextType$1,value:oo}})}},_stripRegex=/[^\S\n]*\n[^\S\n]*/g,stripSpaces=eo=>eo.replace(_stripRegex,`
+`),uniqueName$1="@yozora/tokenizer-text";class TextTokenizer extends BaseInlineTokenizer{constructor(ro={}){super({name:ro.name??uniqueName$1,priority:ro.priority??TokenizerPriority.FALLBACK});Ws(this,"match",match$2);Ws(this,"parse",parse$3)}findAndHandleDelimiter(ro,no){return{nodeType:TextType$1,startIndex:ro,endIndex:no}}}const match$1=function(){return{isContainingBlock:!1,eatOpener:eo,eatAndInterruptPreviousSibling:to};function eo(ro){if(ro.countOfPrecedeSpaces>=4)return null;const{nodePoints:no,startIndex:oo,endIndex:io,firstNonWhitespaceIndex:so}=ro;if(so+2>=io)return null;let ao,lo=0,uo=!0,co=!1;for(let ho=so;ho<io;++ho){const po=no[ho];if(isUnicodeWhitespaceCharacter(po.codePoint)){co=!0;continue}switch(co&&(uo=!1),po.codePoint){case AsciiCodePoint.MINUS_SIGN:case AsciiCodePoint.UNDERSCORE:case AsciiCodePoint.ASTERISK:{if(lo<=0){ao=po.codePoint,lo+=1;break}if(po.codePoint!==ao)return null;lo+=1;break}default:return null}}return lo<3?null:{token:{nodeType:ThematicBreakType,position:{start:calcStartPoint(no,oo),end:calcEndPoint(no,io-1)},marker:ao,continuous:uo},nextIndex:io,saturated:!0}}function to(ro,no){const oo=eo(ro);return oo==null?null:{token:oo.token,nextIndex:oo.nextIndex,remainingSibling:no}}},parse$2=function(eo){return{parse:to=>to.map(ro=>eo.shouldReservePosition?{type:ThematicBreakType,position:ro.position}:{type:ThematicBreakType})}},uniqueName="@yozora/tokenizer-thematic-break";class ThematicBreakTokenizer extends BaseBlockTokenizer{constructor(ro={}){super({name:ro.name??uniqueName,priority:ro.priority??TokenizerPriority.ATOMIC});Ws(this,"match",match$1);Ws(this,"parse",parse$2)}}class GfmParser extends DefaultParser{constructor(to={}){super({...to,blockFallbackTokenizer:to.blockFallbackTokenizer??new ParagraphTokenizer,inlineFallbackTokenizer:to.inlineFallbackTokenizer??new TextTokenizer}),this.useTokenizer(new IndentedCodeTokenizer).useTokenizer(new HtmlBlockTokenizer).useTokenizer(new SetextHeadingTokenizer).useTokenizer(new ThematicBreakTokenizer).useTokenizer(new BlockquoteTokenizer).useTokenizer(new ListTokenizer({enableTaskListItem:!1})).useTokenizer(new HeadingTokenizer).useTokenizer(new FencedCodeTokenizer).useTokenizer(new DefinitionTokenizer).useTokenizer(new HtmlInlineTokenizer).useTokenizer(new InlineCodeTokenizer).useTokenizer(new AutolinkTokenizer).useTokenizer(new BreakTokenizer).useTokenizer(new ImageTokenizer).useTokenizer(new ImageReferenceTokenizer).useTokenizer(new LinkTokenizer).useTokenizer(new LinkReferenceTokenizer).useTokenizer(new EmphasisTokenizer)}}const parser$1=new GfmParser({defaultParseOptions:{shouldReservePosition:!1}});class BlockquoteRenderer extends React.Component{shouldComponentUpdate(to){return this.props.children!==to.children}render(){const to=this.props.children;return jsxRuntimeExports.jsx("blockquote",{className:cls$b,children:jsxRuntimeExports.jsx(NodesRenderer,{nodes:to})})}}const cls$b=mergeStyles$1(astClasses.blockquote,{boxSizing:"border-box",padding:"0.625em 1em",borderLeft:"0.25em solid var(--colorBorderBlockquote)",margin:"0px 0px 1.25em 0px",background:"var(--colorBgBlockquote)",boxShadow:"0 1px 2px 0 hsla(0deg, 0%, 0%, 0.1)","> :last-child":{marginBottom:0}});class BreakRenderer extends React.Component{shouldComponentUpdate(){return!1}render(){return jsxRuntimeExports.jsx("br",{className:cls$a})}}const cls$a=mergeStyles$1(astClasses.break,{boxSizing:"border-box"});var prism={exports:{}};(function(eo){var to=typeof window<"u"?window:typeof WorkerGlobalScope<"u"&&self instanceof WorkerGlobalScope?self:{};/**
+ * Prism: Lightweight, robust, elegant syntax highlighting
+ *
+ * @license MIT <https://opensource.org/licenses/MIT>
+ * @author Lea Verou <https://lea.verou.me>
+ * @namespace
+ * @public
+ */var ro=function(no){var oo=/(?:^|\s)lang(?:uage)?-([\w-]+)(?=\s|$)/i,io=0,so={},ao={manual:no.Prism&&no.Prism.manual,disableWorkerMessageHandler:no.Prism&&no.Prism.disableWorkerMessageHandler,util:{encode:function _o(Eo){return Eo instanceof lo?new lo(Eo.type,_o(Eo.content),Eo.alias):Array.isArray(Eo)?Eo.map(_o):Eo.replace(/&/g,"&amp;").replace(/</g,"&lt;").replace(/\u00a0/g," ")},type:function(_o){return Object.prototype.toString.call(_o).slice(8,-1)},objId:function(_o){return _o.__id||Object.defineProperty(_o,"__id",{value:++io}),_o.__id},clone:function _o(Eo,So){So=So||{};var To,wo;switch(ao.util.type(Eo)){case"Object":if(wo=ao.util.objId(Eo),So[wo])return So[wo];To={},So[wo]=To;for(var Co in Eo)Eo.hasOwnProperty(Co)&&(To[Co]=_o(Eo[Co],So));return To;case"Array":return wo=ao.util.objId(Eo),So[wo]?So[wo]:(To=[],So[wo]=To,Eo.forEach(function(Oo,Ao){To[Ao]=_o(Oo,So)}),To);default:return Eo}},getLanguage:function(_o){for(;_o;){var Eo=oo.exec(_o.className);if(Eo)return 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envVars="\\b(?:BASH|BASHOPTS|BASH_ALIASES|BASH_ARGC|BASH_ARGV|BASH_CMDS|BASH_COMPLETION_COMPAT_DIR|BASH_LINENO|BASH_REMATCH|BASH_SOURCE|BASH_VERSINFO|BASH_VERSION|COLORTERM|COLUMNS|COMP_WORDBREAKS|DBUS_SESSION_BUS_ADDRESS|DEFAULTS_PATH|DESKTOP_SESSION|DIRSTACK|DISPLAY|EUID|GDMSESSION|GDM_LANG|GNOME_KEYRING_CONTROL|GNOME_KEYRING_PID|GPG_AGENT_INFO|GROUPS|HISTCONTROL|HISTFILE|HISTFILESIZE|HISTSIZE|HOME|HOSTNAME|HOSTTYPE|IFS|INSTANCE|JOB|LANG|LANGUAGE|LC_ADDRESS|LC_ALL|LC_IDENTIFICATION|LC_MEASUREMENT|LC_MONETARY|LC_NAME|LC_NUMERIC|LC_PAPER|LC_TELEPHONE|LC_TIME|LESSCLOSE|LESSOPEN|LINES|LOGNAME|LS_COLORS|MACHTYPE|MAILCHECK|MANDATORY_PATH|NO_AT_BRIDGE|OLDPWD|OPTERR|OPTIND|ORBIT_SOCKETDIR|OSTYPE|PAPERSIZE|PATH|PIPESTATUS|PPID|PS1|PS2|PS3|PS4|PWD|RANDOM|REPLY|SECONDS|SELINUX_INIT|SESSION|SESSIONTYPE|SESSION_MANAGER|SHELL|SHELLOPTS|SHLVL|SSH_AUTH_SOCK|TERM|UID|UPSTART_EVENTS|UPSTART_INSTANCE|UPSTART_JOB|UPSTART_SESSION|USER|WINDOWID|XAUTHORITY|XDG_CONFIG_DIRS|XDG_CURRENT_DESKTOP|XDG_DATA_DIRS|XDG_GREETER_DATA_DIR|XDG_MENU_PREFIX|XDG_RUNTIME_DIR|XDG_SEAT|XDG_SEAT_PATH|XDG_SESSION_DESKTOP|XDG_SESSION_ID|XDG_SESSION_PATH|XDG_SESSION_TYPE|XDG_VTNR|XMODIFIERS)\\b",commandAfterHeredoc={pattern:/(^(["']?)\w+\2)[ 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eo=0;eo<toBeCopied.length;eo++)inside$1[toBeCopied[eo]]=Prism.languages.bash[toBeCopied[eo]];Prism.languages.sh=Prism.languages.bash;Prism.languages.shell=Prism.languages.bash;Prism.languages.c=Prism.languages.extend("clike",{comment:{pattern:/\/\/(?:[^\r\n\\]|\\(?:\r\n?|\n|(?![\r\n])))*|\/\*[\s\S]*?(?:\*\/|$)/,greedy:!0},string:{pattern:/"(?:\\(?:\r\n|[\s\S])|[^"\\\r\n])*"/,greedy:!0},"class-name":{pattern:/(\b(?:enum|struct)\s+(?:__attribute__\s*\(\([\s\S]*?\)\)\s*)?)\w+|\b[a-z]\w*_t\b/,lookbehind:!0},keyword:/\b(?:_Alignas|_Alignof|_Atomic|_Bool|_Complex|_Generic|_Imaginary|_Noreturn|_Static_assert|_Thread_local|__attribute__|asm|auto|break|case|char|const|continue|default|do|double|else|enum|extern|float|for|goto|if|inline|int|long|register|return|short|signed|sizeof|static|struct|switch|typedef|typeof|union|unsigned|void|volatile|while)\b/,function:/\b[a-z_]\w*(?=\s*\()/i,number:/(?:\b0x(?:[\da-f]+(?:\.[\da-f]*)?|\.[\da-f]+)(?:p[+-]?\d+)?|(?:\b\d+(?:\.\d*)?|\B\.\d+)(?:e[+-]?\d+)?)[ful]{0,4}/i,operator:/>>=?|<<=?|->|([-+&|:])\1|[?:~]|[-+*/%&|^!=<>]=?/});Prism.languages.insertBefore("c","string",{char:{pattern:/'(?:\\(?:\r\n|[\s\S])|[^'\\\r\n]){0,32}'/,greedy:!0}});Prism.languages.insertBefore("c","string",{macro:{pattern:/(^[\t ]*)#\s*[a-z](?:[^\r\n\\/]|\/(?!\*)|\/\*(?:[^*]|\*(?!\/))*\*\/|\\(?:\r\n|[\s\S]))*/im,lookbehind:!0,greedy:!0,alias:"property",inside:{string:[{pattern:/^(#\s*include\s*)<[^>]+>/,lookbehind:!0},Prism.languages.c.string],char:Prism.languages.c.char,comment:Prism.languages.c.comment,"macro-name":[{pattern:/(^#\s*define\s+)\w+\b(?!\()/i,lookbehind:!0},{pattern:/(^#\s*define\s+)\w+\b(?=\()/i,lookbehind:!0,alias:"function"}],directive:{pattern:/^(#\s*)[a-z]+/,lookbehind:!0,alias:"keyword"},"directive-hash":/^#/,punctuation:/##|\\(?=[\r\n])/,expression:{pattern:/\S[\s\S]*/,inside:Prism.languages.c}}}});Prism.languages.insertBefore("c","function",{constant:/\b(?:EOF|NULL|SEEK_CUR|SEEK_END|SEEK_SET|__DATE__|__FILE__|__LINE__|__TIMESTAMP__|__TIME__|__func__|stderr|stdin|stdout)\b/});delete Prism.languages.c.boolean;const string$1=/(?:"(?:\\(?:\r\n|[\s\S])|[^"\\\r\n])*"|'(?:\\(?:\r\n|[\s\S])|[^'\\\r\n])*')/;Prism.languages.css={comment:/\/\*[\s\S]*?\*\//,atrule:{pattern:RegExp("@[\\w-](?:"+/[^;{\s"']|\s+(?!\s)/.source+"|"+string$1.source+")*?"+/(?:;|(?=\s*\{))/.source),inside:{rule:/^@[\w-]+/,"selector-function-argument":{pattern:/(\bselector\s*\(\s*(?![\s)]))(?:[^()\s]|\s+(?![\s)])|\((?:[^()]|\([^()]*\))*\))+(?=\s*\))/,lookbehind:!0,alias:"selector"},keyword:{pattern:/(^|[^\w-])(?:and|not|only|or)(?![\w-])/,lookbehind:!0}}},url:{pattern:RegExp("\\burl\\((?:"+string$1.source+"|"+/(?:[^\\\r\n()"']|\\[\s\S])*/.source+")\\)","i"),greedy:!0,inside:{function:/^url/i,punctuation:/^\(|\)$/,string:{pattern:RegExp("^"+string$1.source+"$"),alias:"url"}}},selector:{pattern:RegExp(`(^|[{}\\s])[^{}\\s](?:[^{};"'\\s]|\\s+(?![\\s{])|`+string$1.source+")*(?=\\s*\\{)"),lookbehind:!0},string:{pattern:string$1,greedy:!0},property:{pattern:/(^|[^-\w\xA0-\uFFFF])(?!\s)[-_a-z\xA0-\uFFFF](?:(?!\s)[-\w\xA0-\uFFFF])*(?=\s*:)/i,lookbehind:!0},important:/!important\b/i,function:{pattern:/(^|[^-a-z0-9])[-a-z0-9]+(?=\()/i,lookbehind:!0},punctuation:/[(){};:,]/};Prism.languages.css.atrule.inside.rest=Prism.languages.css;const markup=Prism.languages.markup;markup&&(markup.tag.addInlined("style","css"),markup.tag.addAttribute("style","css"));const keyword$1=/\b(?:alignas|alignof|asm|auto|bool|break|case|catch|char|char16_t|char32_t|char8_t|class|co_await|co_return|co_yield|compl|concept|const|const_cast|consteval|constexpr|constinit|continue|decltype|default|delete|do|double|dynamic_cast|else|enum|explicit|export|extern|final|float|for|friend|goto|if|import|inline|int|int16_t|int32_t|int64_t|int8_t|long|module|mutable|namespace|new|noexcept|nullptr|operator|override|private|protected|public|register|reinterpret_cast|requires|return|short|signed|sizeof|static|static_assert|static_cast|struct|switch|template|this|thread_local|throw|try|typedef|typeid|typename|uint16_t|uint32_t|uint64_t|uint8_t|union|unsigned|using|virtual|void|volatile|wchar_t|while)\b/,modName=/\b(?!<keyword>)\w+(?:\s*\.\s*\w+)*\b/.source.replace(/<keyword>/g,function(){return keyword$1.source});Prism.languages.cpp=Prism.languages.extend("c",{"class-name":[{pattern:RegExp(/(\b(?:class|concept|enum|struct|typename)\s+)(?!<keyword>)\w+/.source.replace(/<keyword>/g,function(){return keyword$1.source})),lookbehind:!0},/\b[A-Z]\w*(?=\s*::\s*\w+\s*\()/,/\b[A-Z_]\w*(?=\s*::\s*~\w+\s*\()/i,/\b\w+(?=\s*<(?:[^<>]|<(?:[^<>]|<[^<>]*>)*>)*>\s*::\s*\w+\s*\()/],keyword:keyword$1,number:{pattern:/(?:\b0b[01']+|\b0x(?:[\da-f']+(?:\.[\da-f']*)?|\.[\da-f']+)(?:p[+-]?[\d']+)?|(?:\b[\d']+(?:\.[\d']*)?|\B\.[\d']+)(?:e[+-]?[\d']+)?)[ful]{0,4}/i,greedy:!0},operator:/>>=?|<<=?|->|--|\+\+|&&|\|\||[?:~]|<=>|[-+*/%&|^!=<>]=?|\b(?:and|and_eq|bitand|bitor|not|not_eq|or|or_eq|xor|xor_eq)\b/,boolean:/\b(?:false|true)\b/});Prism.languages.insertBefore("cpp","string",{module:{pattern:RegExp(/(\b(?:import|module)\s+)/.source+"(?:"+/"(?:\\(?:\r\n|[\s\S])|[^"\\\r\n])*"|<[^<>\r\n]*>/.source+"|"+/<mod-name>(?:\s*:\s*<mod-name>)?|:\s*<mod-name>/.source.replace(/<mod-name>/g,function(){return modName})+")"),lookbehind:!0,greedy:!0,inside:{string:/^[<"][\s\S]+/,operator:/:/,punctuation:/\./}},"raw-string":{pattern:/R"([^()\\ ]{0,16})\([\s\S]*?\)\1"/,alias:"string",greedy:!0}});Prism.languages.insertBefore("cpp","keyword",{"generic-function":{pattern:/\b(?!operator\b)[a-z_]\w*\s*<(?:[^<>]|<[^<>]*>)*>(?=\s*\()/i,inside:{function:/^\w+/,generic:{pattern:/<[\s\S]+/,alias:"class-name",inside:Prism.languages.cpp}}}});Prism.languages.insertBefore("cpp","operator",{"double-colon":{pattern:/::/,alias:"punctuation"}});Prism.languages.insertBefore("cpp","class-name",{"base-clause":{pattern:/(\b(?:class|struct)\s+\w+\s*:\s*)[^;{}"'\s]+(?:\s+[^;{}"'\s]+)*(?=\s*[;{])/,lookbehind:!0,greedy:!0,inside:Prism.languages.extend("cpp",{})}});Prism.languages.insertBefore("inside","double-colon",{"class-name":/\b[a-z_]\w*\b(?!\s*::)/i},Prism.languages.cpp["base-clause"]);const ID="(?:"+[/[a-zA-Z_\x80-\uFFFF][\w\x80-\uFFFF]*/.source,/-?(?:\.\d+|\d+(?:\.\d*)?)/.source,/"[^"\\]*(?:\\[\s\S][^"\\]*)*"/.source,/<(?:[^<>]|(?!<!--)<(?:[^<>"']|"[^"]*"|'[^']*')+>|<!--(?:[^-]|-(?!->))*-->)*>/.source].join("|")+")",IDInside={markup:{pattern:/(^<)[\s\S]+(?=>$)/,lookbehind:!0,alias:["language-markup","language-html","language-xml"],inside:Prism.languages.markup}};function withID(eo,to){return RegExp(eo.replace(/<ID>/g,function(){return ID}),to)}Prism.languages.dot={comment:{pattern:/\/\/.*|\/\*[\s\S]*?\*\/|^#.*/m,greedy:!0},"graph-name":{pattern:withID(/(\b(?:digraph|graph|subgraph)[ \t\r\n]+)<ID>/.source,"i"),lookbehind:!0,greedy:!0,alias:"class-name",inside:IDInside},"attr-value":{pattern:withID(/(=[ \t\r\n]*)<ID>/.source),lookbehind:!0,greedy:!0,inside:IDInside},"attr-name":{pattern:withID(/([[;, \t\r\n])<ID>(?=[ \t\r\n]*=)/.source),lookbehind:!0,greedy:!0,inside:IDInside},keyword:/\b(?:digraph|edge|graph|node|strict|subgraph)\b/i,"compass-point":{pattern:/(:[ \t\r\n]*)(?:[ewc_]|[ns][ew]?)(?![\w\x80-\uFFFF])/,lookbehind:!0,alias:"builtin"},node:{pattern:withID(/(^|[^-.\w\x80-\uFFFF\\])<ID>/.source),lookbehind:!0,greedy:!0,inside:IDInside},operator:/[=:]|-[->]/,punctuation:/[[\]{};,]/};Prism.languages.gv=Prism.languages.dot;Prism.languages.diff={coord:[/^(?:\*{3}|-{3}|\+{3}).*$/m,/^@@.*@@$/m,/^\d.*$/m]};const PREFIXES={"deleted-sign":"-","deleted-arrow":"<","inserted-sign":"+","inserted-arrow":">",unchanged:" ",diff:"!"};Object.keys(PREFIXES).forEach(function(eo){const to=PREFIXES[eo],ro=[];/^\w+$/.test(eo)||ro.push(/\w+/.exec(eo)[0]),eo==="diff"&&ro.push("bold"),Prism.languages.diff[eo]={pattern:RegExp("^(?:["+to+`].*(?:\r
+?|
+|(?![\\s\\S])))+`,"m"),alias:ro,inside:{line:{pattern:/(.)(?=[\s\S]).*(?:\r\n?|\n)?/,lookbehind:!0},prefix:{pattern:/[\s\S]/,alias:/\w+/.exec(eo)[0]}}}});Object.defineProperty(Prism.languages.diff,"PREFIXES",{value:PREFIXES});Prism.languages.git={comment:/^#.*/m,deleted:/^[-–].*/m,inserted:/^\+.*/m,string:/("|')(?:\\.|(?!\1)[^\\\r\n])*\1/,command:{pattern:/^.*\$ git .*$/m,inside:{parameter:/\s--?\w+/}},coord:/^@@.*@@$/m,"commit-sha1":/^commit \w{40}$/m};Prism.languages.go=Prism.languages.extend("clike",{string:{pattern:/(^|[^\\])"(?:\\.|[^"\\\r\n])*"|`[^`]*`/,lookbehind:!0,greedy:!0},keyword:/\b(?:break|case|chan|const|continue|default|defer|else|fallthrough|for|func|go(?:to)?|if|import|interface|map|package|range|return|select|struct|switch|type|var)\b/,boolean:/\b(?:_|false|iota|nil|true)\b/,number:[/\b0(?:b[01_]+|o[0-7_]+)i?\b/i,/\b0x(?:[a-f\d_]+(?:\.[a-f\d_]*)?|\.[a-f\d_]+)(?:p[+-]?\d+(?:_\d+)*)?i?(?!\w)/i,/(?:\b\d[\d_]*(?:\.[\d_]*)?|\B\.\d[\d_]*)(?:e[+-]?[\d_]+)?i?(?!\w)/i],operator:/[*/%^!=]=?|\+[=+]?|-[=-]?|\|[=|]?|&(?:=|&|\^=?)?|>(?:>=?|=)?|<(?:<=?|=|-)?|:=|\.\.\./,builtin:/\b(?:append|bool|byte|cap|close|complex|complex(?:64|128)|copy|delete|error|float(?:32|64)|u?int(?:8|16|32|64)?|imag|len|make|new|panic|print(?:ln)?|real|recover|rune|string|uintptr)\b/});Prism.languages.insertBefore("go","string",{char:{pattern:/'(?:\\.|[^'\\\r\n]){0,10}'/,greedy:!0}});delete Prism.languages.go["class-name"];const keywords=/\b(?:abstract|assert|boolean|break|byte|case|catch|char|class|const|continue|default|do|double|else|enum|exports|extends|final|finally|float|for|goto|if|implements|import|instanceof|int|interface|long|module|native|new|non-sealed|null|open|opens|package|permits|private|protected|provides|public|record(?!\s*[(){}[\]<>=%~.:,;?+\-*/&|^])|requires|return|sealed|short|static|strictfp|super|switch|synchronized|this|throw|throws|to|transient|transitive|try|uses|var|void|volatile|while|with|yield)\b/,classNamePrefix=/(?:[a-z]\w*\s*\.\s*)*(?:[A-Z]\w*\s*\.\s*)*/.source,className={pattern:RegExp(/(^|[^\w.])/.source+classNamePrefix+/[A-Z](?:[\d_A-Z]*[a-z]\w*)?\b/.source),lookbehind:!0,inside:{namespace:{pattern:/^[a-z]\w*(?:\s*\.\s*[a-z]\w*)*(?:\s*\.)?/,inside:{punctuation:/\./}},punctuation:/\./}};Prism.languages.java=Prism.languages.extend("clike",{string:{pattern:/(^|[^\\])"(?:\\.|[^"\\\r\n])*"/,lookbehind:!0,greedy:!0},"class-name":[className,{pattern:RegExp(/(^|[^\w.])/.source+classNamePrefix+/[A-Z]\w*(?=\s+\w+\s*[;,=()]|\s*(?:\[[\s,]*\]\s*)?::\s*new\b)/.source),lookbehind:!0,inside:className.inside},{pattern:RegExp(/(\b(?:class|enum|extends|implements|instanceof|interface|new|record|throws)\s+)/.source+classNamePrefix+/[A-Z]\w*\b/.source),lookbehind:!0,inside:className.inside}],keyword:keywords,function:[Prism.languages.clike.function,{pattern:/(::\s*)[a-z_]\w*/,lookbehind:!0}],number:/\b0b[01][01_]*L?\b|\b0x(?:\.[\da-f_p+-]+|[\da-f_]+(?:\.[\da-f_p+-]+)?)\b|(?:\b\d[\d_]*(?:\.[\d_]*)?|\B\.\d[\d_]*)(?:e[+-]?\d[\d_]*)?[dfl]?/i,operator:{pattern:/(^|[^.])(?:<<=?|>>>?=?|->|--|\+\+|&&|\|\||::|[?:~]|[-+*/%&|^!=<>]=?)/m,lookbehind:!0},constant:/\b[A-Z][A-Z_\d]+\b/});Prism.languages.insertBefore("java","string",{"triple-quoted-string":{pattern:/"""[ \t]*[\r\n](?:(?:"|"")?(?:\\.|[^"\\]))*"""/,greedy:!0,alias:"string"},char:{pattern:/'(?:\\.|[^'\\\r\n]){1,6}'/,greedy:!0}});Prism.languages.insertBefore("java","class-name",{annotation:{pattern:/(^|[^.])@\w+(?:\s*\.\s*\w+)*/,lookbehind:!0,alias:"punctuation"},generics:{pattern:/<(?:[\w\s,.?]|&(?!&)|<(?:[\w\s,.?]|&(?!&)|<(?:[\w\s,.?]|&(?!&)|<(?:[\w\s,.?]|&(?!&))*>)*>)*>)*>/,inside:{"class-name":className,keyword:keywords,punctuation:/[<>(),.:]/,operator:/[?&|]/}},import:[{pattern:RegExp(/(\bimport\s+)/.source+classNamePrefix+/(?:[A-Z]\w*|\*)(?=\s*;)/.source),lookbehind:!0,inside:{namespace:className.inside.namespace,punctuation:/\./,operator:/\*/,"class-name":/\w+/}},{pattern:RegExp(/(\bimport\s+static\s+)/.source+classNamePrefix+/(?:\w+|\*)(?=\s*;)/.source),lookbehind:!0,alias:"static",inside:{namespace:className.inside.namespace,static:/\b\w+$/,punctuation:/\./,operator:/\*/,"class-name":/\w+/}}],namespace:{pattern:RegExp(/(\b(?:exports|import(?:\s+static)?|module|open|opens|package|provides|requires|to|transitive|uses|with)\s+)(?!<keyword>)[a-z]\w*(?:\.[a-z]\w*)*\.?/.source.replace(/<keyword>/g,function(){return keywords.source})),lookbehind:!0,inside:{punctuation:/\./}}});Prism.languages.javascript=Prism.languages.extend("clike",{"class-name":[Prism.languages.clike["class-name"],{pattern:/(^|[^$\w\xA0-\uFFFF])(?!\s)[_$A-Z\xA0-\uFFFF](?:(?!\s)[$\w\xA0-\uFFFF])*(?=\.(?:constructor|prototype))/,lookbehind:!0}],keyword:[{pattern:/((?:^|\})\s*)catch\b/,lookbehind:!0},{pattern:/(^|[^.]|\.\.\.\s*)\b(?:as|assert(?=\s*\{)|async(?=\s*(?:function\b|\(|[$\w\xA0-\uFFFF]|$))|await|break|case|class|const|continue|debugger|default|delete|do|else|enum|export|extends|finally(?=\s*(?:\{|$))|for|from(?=\s*(?:['"]|$))|function|(?:get|set)(?=\s*(?:[#[$\w\xA0-\uFFFF]|$))|if|implements|import|in|instanceof|interface|let|new|null|of|package|private|protected|public|return|static|super|switch|this|throw|try|typeof|undefined|var|void|while|with|yield)\b/,lookbehind:!0}],function:/#?(?!\s)[_$a-zA-Z\xA0-\uFFFF](?:(?!\s)[$\w\xA0-\uFFFF])*(?=\s*(?:\.\s*(?:apply|bind|call)\s*)?\()/,number:{pattern:RegExp(/(^|[^\w$])/.source+"(?:"+(/NaN|Infinity/.source+"|"+/0[bB][01]+(?:_[01]+)*n?/.source+"|"+/0[oO][0-7]+(?:_[0-7]+)*n?/.source+"|"+/0[xX][\dA-Fa-f]+(?:_[\dA-Fa-f]+)*n?/.source+"|"+/\d+(?:_\d+)*n/.source+"|"+/(?:\d+(?:_\d+)*(?:\.(?:\d+(?:_\d+)*)?)?|\.\d+(?:_\d+)*)(?:[Ee][+-]?\d+(?:_\d+)*)?/.source)+")"+/(?![\w$])/.source),lookbehind:!0},operator:/--|\+\+|\*\*=?|=>|&&=?|\|\|=?|[!=]==|<<=?|>>>?=?|[-+*/%&|^!=<>]=?|\.{3}|\?\?=?|\?\.?|[~:]/});Prism.languages.javascript["class-name"][0].pattern=/(\b(?:class|extends|implements|instanceof|interface|new)\s+)[\w.\\]+/;Prism.languages.insertBefore("javascript","keyword",{regex:{pattern:RegExp(/((?:^|[^$\w\xA0-\uFFFF."'\])\s]|\b(?:return|yield))\s*)/.source+/\//.source+"(?:"+/(?:\[(?:[^\]\\\r\n]|\\.)*\]|\\.|[^/\\[\r\n])+\/[dgimyus]{0,7}/.source+"|"+/(?:\[(?:[^[\]\\\r\n]|\\.|\[(?:[^[\]\\\r\n]|\\.|\[(?:[^[\]\\\r\n]|\\.)*\])*\])*\]|\\.|[^/\\[\r\n])+\/[dgimyus]{0,7}v[dgimyus]{0,7}/.source+")"+/(?=(?:\s|\/\*(?:[^*]|\*(?!\/))*\*\/)*(?:$|[\r\n,.;:})\]]|\/\/))/.source),lookbehind:!0,greedy:!0,inside:{"regex-source":{pattern:/^(\/)[\s\S]+(?=\/[a-z]*$)/,lookbehind:!0,alias:"language-regex",inside:Prism.languages.regex},"regex-delimiter":/^\/|\/$/,"regex-flags":/^[a-z]+$/}},"function-variable":{pattern:/#?(?!\s)[_$a-zA-Z\xA0-\uFFFF](?:(?!\s)[$\w\xA0-\uFFFF])*(?=\s*[=:]\s*(?:async\s*)?(?:\bfunction\b|(?:\((?:[^()]|\([^()]*\))*\)|(?!\s)[_$a-zA-Z\xA0-\uFFFF](?:(?!\s)[$\w\xA0-\uFFFF])*)\s*=>))/,alias:"function"},parameter:[{pattern:/(function(?:\s+(?!\s)[_$a-zA-Z\xA0-\uFFFF](?:(?!\s)[$\w\xA0-\uFFFF])*)?\s*\(\s*)(?!\s)(?:[^()\s]|\s+(?![\s)])|\([^()]*\))+(?=\s*\))/,lookbehind:!0,inside:Prism.languages.javascript},{pattern:/(^|[^$\w\xA0-\uFFFF])(?!\s)[_$a-z\xA0-\uFFFF](?:(?!\s)[$\w\xA0-\uFFFF])*(?=\s*=>)/i,lookbehind:!0,inside:Prism.languages.javascript},{pattern:/(\(\s*)(?!\s)(?:[^()\s]|\s+(?![\s)])|\([^()]*\))+(?=\s*\)\s*=>)/,lookbehind:!0,inside:Prism.languages.javascript},{pattern:/((?:\b|\s|^)(?!(?:as|async|await|break|case|catch|class|const|continue|debugger|default|delete|do|else|enum|export|extends|finally|for|from|function|get|if|implements|import|in|instanceof|interface|let|new|null|of|package|private|protected|public|return|set|static|super|switch|this|throw|try|typeof|undefined|var|void|while|with|yield)(?![$\w\xA0-\uFFFF]))(?:(?!\s)[_$a-zA-Z\xA0-\uFFFF](?:(?!\s)[$\w\xA0-\uFFFF])*\s*)\(\s*|\]\s*\(\s*)(?!\s)(?:[^()\s]|\s+(?![\s)])|\([^()]*\))+(?=\s*\)\s*\{)/,lookbehind:!0,inside:Prism.languages.javascript}],constant:/\b[A-Z](?:[A-Z_]|\dx?)*\b/});Prism.languages.insertBefore("javascript","string",{hashbang:{pattern:/^#!.*/,greedy:!0,alias:"comment"},"template-string":{pattern:/`(?:\\[\s\S]|\$\{(?:[^{}]|\{(?:[^{}]|\{[^}]*\})*\})+\}|(?!\$\{)[^\\`])*`/,greedy:!0,inside:{"template-punctuation":{pattern:/^`|`$/,alias:"string"},interpolation:{pattern:/((?:^|[^\\])(?:\\{2})*)\$\{(?:[^{}]|\{(?:[^{}]|\{[^}]*\})*\})+\}/,lookbehind:!0,inside:{"interpolation-punctuation":{pattern:/^\$\{|\}$/,alias:"punctuation"},rest:Prism.languages.javascript}},string:/[\s\S]+/}},"string-property":{pattern:/((?:^|[,{])[ \t]*)(["'])(?:\\(?:\r\n|[\s\S])|(?!\2)[^\\\r\n])*\2(?=\s*:)/m,lookbehind:!0,greedy:!0,alias:"property"}});Prism.languages.insertBefore("javascript","operator",{"literal-property":{pattern:/((?:^|[,{])[ \t]*)(?!\s)[_$a-zA-Z\xA0-\uFFFF](?:(?!\s)[$\w\xA0-\uFFFF])*(?=\s*:)/m,lookbehind:!0,alias:"property"}});if(Prism.languages.markup){const eo=Prism.languages.markup;eo.tag.addInlined("script","javascript"),eo.tag.addAttribute(/on(?:abort|blur|change|click|composition(?:end|start|update)|dblclick|error|focus(?:in|out)?|key(?:down|up)|load|mouse(?:down|enter|leave|move|out|over|up)|reset|resize|scroll|select|slotchange|submit|unload|wheel)/.source,"javascript")}Prism.languages.js=Prism.languages.javascript;Prism.languages.json={property:{pattern:/(^|[^\\])"(?:\\.|[^\\"\r\n])*"(?=\s*:)/,lookbehind:!0,greedy:!0},string:{pattern:/(^|[^\\])"(?:\\.|[^\\"\r\n])*"(?!\s*:)/,lookbehind:!0,greedy:!0},comment:{pattern:/\/\/.*|\/\*[\s\S]*?(?:\*\/|$)/,greedy:!0},number:/-?\b\d+(?:\.\d+)?(?:e[+-]?\d+)?\b/i,punctuation:/[{}[\],]/,operator:/:/,boolean:/\b(?:false|true)\b/,null:{pattern:/\bnull\b/,alias:"keyword"}};Prism.languages.webmanifest=Prism.languages.json;const javascript=Prism.util.clone(Prism.languages.javascript),space$1=/(?:\s|\/\/.*(?!.)|\/\*(?:[^*]|\*(?!\/))\*\/)/.source,braces=/(?:\{(?:\{(?:\{[^{}]*\}|[^{}])*\}|[^{}])*\})/.source;let spread=/(?:\{<S>*\.{3}(?:[^{}]|<BRACES>)*\})/.source;function re$1(eo,to){const ro=eo.replace(/<S>/g,()=>space$1).replace(/<BRACES>/g,()=>braces).replace(/<SPREAD>/g,()=>spread);return RegExp(ro,to)}spread=re$1(spread).source;Prism.languages.jsx=Prism.languages.extend("markup",javascript);const jsx=Prism.languages.jsx;jsx.tag.pattern=re$1(/<\/?(?:[\w.:-]+(?:<S>+(?:[\w.:$-]+(?:=(?:"(?:\\[\s\S]|[^\\"])*"|'(?:\\[\s\S]|[^\\'])*'|[^\s{'"/>=]+|<BRACES>))?|<SPREAD>))*<S>*\/?)?>/.source);jsx.tag.inside.tag.pattern=/^<\/?[^\s>/]*/;jsx.tag.inside["attr-value"].pattern=/=(?!\{)(?:"(?:\\[\s\S]|[^\\"])*"|'(?:\\[\s\S]|[^\\'])*'|[^\s'">]+)/;jsx.tag.inside.tag.inside["class-name"]=/^[A-Z]\w*(?:\.[A-Z]\w*)*$/;jsx.tag.inside.comment=javascript.comment;Prism.languages.insertBefore("inside","attr-name",{spread:{pattern:re$1(/<SPREAD>/.source),inside:Prism.languages.jsx}},jsx.tag);Prism.languages.insertBefore("inside","special-attr",{script:{pattern:re$1(/=<BRACES>/.source),alias:"language-javascript",inside:{"script-punctuation":{pattern:/^=(?=\{)/,alias:"punctuation"},rest:Prism.languages.jsx}}},jsx.tag);const stringifyToken=function(eo){return eo?typeof eo=="string"?eo:typeof eo.content=="string"?eo.content:eo.content.map(stringifyToken).join(""):""},walkTokens=function(eo){const to=[];for(let ro=0;ro<eo.length;ro++){const no=eo[ro];let oo=!1;if(typeof no!="string"){const io=no.content;no.type==="tag"&&io[0]&&io[0].type==="tag"?io[0].content[0].content==="</"?to.length>0&&to[to.length-1].tagName===stringifyToken(io[0].content[1])&&to.pop():io[io.length-1].content==="/>"||to.push({tagName:stringifyToken(io[0].content[1]),openedBraces:0}):to.length>0&&no.type==="punctuation"&&no.content==="{"?to[to.length-1].openedBraces+=1:to.length>0&&to[to.length-1].openedBraces>0&&no.type==="punctuation"&&no.content==="}"?to[to.length-1].openedBraces-=1:oo=!0}if((oo||typeof no=="string")&&to.length>0&&to[to.length-1].openedBraces===0){let io=stringifyToken(no);ro<eo.length-1&&(typeof eo[ro+1]=="string"||eo[ro+1].type==="plain-text")&&(io+=stringifyToken(eo[ro+1]),eo.splice(ro+1,1)),ro>0&&(typeof eo[ro-1]=="string"||eo[ro-1].type==="plain-text")&&(io=stringifyToken(eo[ro-1])+io,eo.splice(ro-1,1),ro-=1),eo[ro]=new Prism.Token("plain-text",io,void 0,io)}typeof no!="string"&&no.content&&typeof 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tableCell=/(?:\\.|``(?:[^`\r\n]|`(?!`))+``|`[^`\r\n]+`|[^\\|\r\n`])+/.source,tableRow=/\|?__(?:\|__)+\|?(?:(?:\n|\r\n?)|(?![\s\S]))/.source.replace(/__/g,function(){return tableCell}),tableLine=/\|?[ \t]*:?-{3,}:?[ \t]*(?:\|[ \t]*:?-{3,}:?[ \t]*)+\|?(?:\n|\r\n?)/.source;Prism.languages.markdown=Prism.languages.extend("markup",{});Prism.languages.insertBefore("markdown","prolog",{"front-matter-block":{pattern:/(^(?:\s*[\r\n])?)---(?!.)[\s\S]*?[\r\n]---(?!.)/,lookbehind:!0,greedy:!0,inside:{punctuation:/^---|---$/,"front-matter":{pattern:/\S+(?:\s+\S+)*/,alias:["yaml","language-yaml"],inside:Prism.languages.yaml}}},blockquote:{pattern:/^>(?:[\t 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]+"(?:\\.|[^"\\])*")?\)|[ \t]?\[(?:(?!\])<inner>)+\])/.source),lookbehind:!0,greedy:!0,inside:{operator:/^!/,content:{pattern:/(^\[)[^\]]+(?=\])/,lookbehind:!0,inside:{}},variable:{pattern:/(^\][ \t]?\[)[^\]]+(?=\]$)/,lookbehind:!0},url:{pattern:/(^\]\()[^\s)]+/,lookbehind:!0},string:{pattern:/(^[ \t]+)"(?:\\.|[^"\\])*"(?=\)$)/,lookbehind:!0}}}});["url","bold","italic","strike"].forEach(function(eo){["url","bold","italic","strike","code-snippet"].forEach(function(to){if(eo!==to){const ro=Prism.languages.markdown;ro[eo].inside.content.inside[to]=ro[to]}})});Prism.hooks.add("after-tokenize",function(eo){if(eo.language!=="markdown"&&eo.language!=="md")return;function to(ro){if(!(!ro||typeof ro=="string"))for(let no=0,oo=ro.length;no<oo;no++){const io=ro[no];if(io.type!=="code"){to(io.content);continue}const so=io.content[1],ao=io.content[3];if(so&&ao&&so.type==="code-language"&&ao.type==="code-block"&&typeof so.content=="string"){let lo=so.content.replace(/\b#/g,"sharp").replace(/\b\+\+/g,"pp");lo=(/[a-z][\w-]*/i.exec(lo)||[""])[0].toLowerCase();const uo="language-"+lo;ao.alias?typeof ao.alias=="string"?ao.alias=[ao.alias,uo]:ao.alias.push(uo):ao.alias=[uo]}}}to(eo.tokens)});Prism.hooks.add("wrap",function(eo){if(eo.type!=="code-block")return;let to="";for(let no=0,oo=eo.classes.length;no<oo;no++){const io=eo.classes[no],so=/language-(.+)/.exec(io);if(so){to=so[1];break}}const ro=Prism.languages[to];if(ro)eo.content=Prism.highlight(textContent(eo.content),ro,to);else if(to&&to!=="none"&&Prism.plugins.autoloader){const no="md-"+new Date().valueOf()+"-"+Math.floor(Math.random()*1e16);eo.attributes.id=no,Prism.plugins.autoloader.loadLanguages(to,function(){const oo=document.getElementById(no);oo&&(oo.innerHTML=Prism.highlight(oo.textContent,Prism.languages[to],to))})}});const tagPattern=RegExp(Prism.languages.markup.tag.pattern.source,"gi"),KNOWN_ENTITY_NAMES={amp:"&",lt:"<",gt:">",quot:'"'},fromCodePoint$1=String.fromCodePoint||String.fromCharCode;function textContent(eo){let to=eo.replace(tagPattern,"");return to=to.replace(/&(\w{1,8}|#x?[\da-f]{1,8});/gi,function(ro,no){if(no=no.toLowerCase(),no[0]==="#"){let oo;return no[1]==="x"?oo=parseInt(no.slice(2),16):oo=Number(no.slice(1)),fromCodePoint$1(oo)}else{const oo=KNOWN_ENTITY_NAMES[no];return oo||ro}}),to}Prism.languages.md=Prism.languages.markdown;Prism.languages.python={comment:{pattern:/(^|[^\\])#.*/,lookbehind:!0,greedy:!0},"string-interpolation":{pattern:/(?:f|fr|rf)(?:("""|''')[\s\S]*?\1|("|')(?:\\.|(?!\2)[^\\\r\n])*\2)/i,greedy:!0,inside:{interpolation:{pattern:/((?:^|[^{])(?:\{\{)*)\{(?!\{)(?:[^{}]|\{(?!\{)(?:[^{}]|\{(?!\{)(?:[^{}])+\})+\})+\}/,lookbehind:!0,inside:{"format-spec":{pattern:/(:)[^:(){}]+(?=\}$)/,lookbehind:!0},"conversion-option":{pattern:/![sra](?=[:}]$)/,alias:"punctuation"},rest:null}},string:/[\s\S]+/}},"triple-quoted-string":{pattern:/(?:[rub]|br|rb)?("""|''')[\s\S]*?\1/i,greedy:!0,alias:"string"},string:{pattern:/(?:[rub]|br|rb)?("|')(?:\\.|(?!\1)[^\\\r\n])*\1/i,greedy:!0},function:{pattern:/((?:^|\s)def[ \t]+)[a-zA-Z_]\w*(?=\s*\()/g,lookbehind:!0},"class-name":{pattern:/(\bclass\s+)\w+/i,lookbehind:!0},decorator:{pattern:/(^[\t 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variable=/\$[-\w]+|#\{\$[-\w]+\}/,operator$1=[/[+*/%]|[=!]=|<=?|>=?|\b(?:and|not|or)\b/,{pattern:/(\s)-(?=\s)/,lookbehind:!0}];Prism.languages.insertBefore("sass","property",{"variable-line":{pattern:/^[ \t]*\$.+/m,greedy:!0,inside:{punctuation:/:/,variable,operator:operator$1}},"property-line":{pattern:/^[ \t]*(?:[^:\s]+ *:.*|:[^:\s].*)/m,greedy:!0,inside:{property:[/[^:\s]+(?=\s*:)/,{pattern:/(:)[^:\s]+/,lookbehind:!0}],punctuation:/:/,variable,operator:operator$1,important:Prism.languages.sass.important}}});delete Prism.languages.sass.property;delete Prism.languages.sass.important;Prism.languages.insertBefore("sass","punctuation",{selector:{pattern:/^([ \t]*)\S(?:,[^,\r\n]+|[^,\r\n]*)(?:,[^,\r\n]+)*(?:,(?:\r?\n|\r)\1[ 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anchorOrAlias=/[*&][^\s[\]{},]+/,tag=/!(?:<[\w\-%#;/?:@&=+$,.!~*'()[\]]+>|(?:[a-zA-Z\d-]*!)?[\w\-%#;/?:@&=+$.~*'()]+)?/,properties="(?:"+tag.source+"(?:[ 	]+"+anchorOrAlias.source+")?|"+anchorOrAlias.source+"(?:[ 	]+"+tag.source+")?)",plainKey=/(?:[^\s\x00-\x08\x0e-\x1f!"#%&'*,\-:>?@[\]`{|}\x7f-\x84\x86-\x9f\ud800-\udfff\ufffe\uffff]|[?:-]<PLAIN>)(?:[ \t]*(?:(?![#:])<PLAIN>|:<PLAIN>))*/.source.replace(/<PLAIN>/g,()=>/[^\s\x00-\x08\x0e-\x1f,[\]{}\x7f-\x84\x86-\x9f\ud800-\udfff\ufffe\uffff]/.source),string$2=/"(?:[^"\\\r\n]|\\.)*"|'(?:[^'\\\r\n]|\\.)*'/.source;function createValuePattern(eo,to){const ro=(to||"").replace(/m/g,"")+"m",no=/([:\-,[{]\s*(?:\s<<prop>>[ \t]+)?)(?:<<value>>)(?=[ \t]*(?:$|,|\]|\}|(?:[\r\n]\s*)?#))/.source.replace(/<<prop>>/g,function(){return properties}).replace(/<<value>>/g,function(){return eo});return RegExp(no,ro)}Prism.languages.yaml={scalar:{pattern:RegExp(/([-:]\s*(?:\s<<prop>>[ \t]+)?[|>])[ \t]*(?:((?:\r?\n|\r)[ 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212)"}},{types:["constant"],style:{color:"rgb(100, 102, 149)"}},{types:["tag","changed","function","keyword"],style:{color:"rgb(86, 156, 214)"}},{types:["attr-name"],style:{color:"rgb(156, 220, 254)"}},{types:["deleted","string","attr-value"],style:{color:"rgb(206, 145, 120)"}},{types:["class-name"],style:{color:"rgb(78, 201, 176)"}},{types:["char"],style:{color:"rgb(209, 105, 105)"}},{types:["selector"],style:{color:"rgb(215, 186, 125)"}},{types:["tag"],languages:["markup"],style:{color:"rgb(86, 156, 214)"}},{types:["punctuation"],languages:["markup"],style:{color:"#808080"}}]},vscLightTheme={plain:{color:"#000000",backgroundColor:"#ffffff"},styles:[{types:["comment"],style:{color:"rgb(0, 128, 0)"}},{types:["builtin"],style:{color:"rgb(0, 112, 193)"}},{types:["number","variable","inserted"],style:{color:"rgb(9, 134, 88)"}},{types:["operator"],style:{color:"rgb(0, 0, 0)"}},{types:["constant","char"],style:{color:"rgb(129, 31, 63)"}},{types:["tag"],style:{color:"rgb(128, 0, 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oo=0;oo<ro;++oo)if(eo[oo]!==to[oo])return!1;return!0}class HighlightLinenos extends React.Component{shouldComponentUpdate(to){const ro=this.props;return ro.countOfLines!==to.countOfLines||!areSameArray(ro.highlightLinenos,to.highlightLinenos)}render(){const{countOfLines:to,highlightLinenos:ro=[]}=this.props,no=[];for(let oo=0;oo<to;++oo){const io=ro.includes(oo+1),so=React.createElement("div",{key:oo,className:cx(classes$2.line,classes$2.linenoLine,io&&classes$2.highlightLine)},React.createElement("span",{key:oo},oo+1));no.push(so)}return React.createElement(React.Fragment,null,no)}}Ws(HighlightLinenos,"displayName","HighlightLinenos"),Ws(HighlightLinenos,"propTypes",{countOfLines:PropTypes.number.isRequired,highlightLinenos:PropTypes.array});class HighlightContent extends React.Component{constructor(ro){super(ro);Ws(this,"linenoRef");Ws(this,"onScroll",ro=>{var io,so;const no=ro.target;if(no==null)return;const{scrollTop:oo}=no;(so=(io=this.linenoRef.current)==null?void 0:io.scrollTo)==null||so.call(io,0,oo)});const no=themeToDict(ro.language,ro.theme),oo=this.tokenize(ro.code,ro.language),io=ro.showLineno?`${Math.max(2,String(oo.length).length)*1.1}em`:void 0;this.state={linenoWidth:io,themeDict:no,tokens:oo},this.linenoRef={current:null}}shouldComponentUpdate(ro,no){const oo=this.props,io=this.state;return io.linenoWidth!==no.linenoWidth||io.themeDict!==no.themeDict||io.tokens!==no.tokens||oo.code!==ro.code||oo.codesRef!==ro.codesRef||oo.collapsed!==ro.collapsed||oo.language!==ro.language||oo.maxLines!==ro.maxLines||oo.showLineno!==ro.showLineno||!isEqual(oo.theme,ro.theme)||!isEqual(oo.highlightLinenos,ro.highlightLinenos)}render(){const{linenoRef:ro,onScroll:no}=this,{codesRef:oo,collapsed:io,highlightLinenos:so,language:ao,maxLines:lo,showLineno:uo=!0}=this.props,{linenoWidth:co,tokens:fo}=this.state,ho=fo.length,po=lo>0?Math.min(lo,ho):ho,go={...this.state.themeDict.root,backgroundColor:"none",...io?{maxHeight:0}:{maxHeight:`calc(calc(${vars.lineHeightCode} * ${po+.8}) + 6px)`,minHeight:"100%"}};return React.createElement("div",{className:cx(classes$2.container,ao?`prism-code language-${ao}`:"prism-code"),style:go},uo&&React.createElement("div",{key:"linenos",className:classes$2.lineno,style:{width:co},ref:ro},React.createElement(HighlightLinenos,{countOfLines:ho,highlightLinenos:so})),React.createElement("div",{key:"codes",ref:oo,className:classes$2.codes,onScroll:no},React.createElement("div",{className:classes$2.codeWrapper},fo.map((vo,bo)=>{const xo=so.includes(bo+1),_o=this.getLineProps({line:vo});return React.createElement("div",{..._o,key:bo,className:cx(classes$2.line,classes$2.codeLine,xo&&classes$2.highlightLine,_o.className)},vo.map((Eo,So)=>React.createElement("span",{...this.getTokenProps({token:Eo}),key:So})))}))))}componentDidMount(){var ro,no;(no=(ro=this.props).onLinenoWidthChange)==null||no.call(ro,this.state.linenoWidth)}componentDidUpdate(ro,no){var ao,lo;const oo=this.props,io=this.state,so=oo.language!==ro.language||!isEqual(oo.theme,ro.theme)?themeToDict(oo.language,oo.theme):io.themeDict;if(oo.code!==ro.code||oo.language!==ro.language||so!==no.themeDict){const uo=this.tokenize(oo.code,oo.language),co=oo.showLineno?`${Math.max(2,String(uo.length).length)*1.1}em`:void 0;this.setState({linenoWidth:co,themeDict:so,tokens:uo})}io.linenoWidth!==no.linenoWidth&&((lo=(ao=this.props).onLinenoWidthChange)==null||lo.call(ao,io.linenoWidth))}tokenize(ro,no){const oo=no?Prism.languages[no]:void 0;if(oo){const io={code:ro,grammar:oo,language:no,tokens:[]};return Prism.hooks.run("before-tokenize",io),io.tokens=Prism.tokenize(io.code,io.grammar),Prism.hooks.run("after-tokenize",io),normalizeTokens(io.tokens)}else return normalizeTokens([ro])}getLineProps(ro){const{themeDict:no}=this.state,{key:oo,className:io,style:so,line:ao,...lo}=ro,uo={...lo,className:"token-line",style:void 0,key:void 0};return no!==void 0&&(uo.style=no.plain),so!==void 0&&(uo.style=uo.style!==void 0?{...uo.style,...so}:so),oo!==void 0&&(uo.key=oo),io&&(uo.className+=` ${io}`),uo}getStyleForToken({types:ro,empty:no}){const{themeDict:oo}=this.state,io=ro.length;if(oo===void 0)return;if(io===1&&ro[0]==="plain")return no?{display:"inline-block"}:void 0;if(io===1&&!no)return oo[ro[0]];const so=no?{display:"inline-block"}:{};for(const ao of ro){const lo=oo[ao];Object.assign(so,lo)}return so}getTokenProps(ro){const{key:no,className:oo,style:io,token:so,...ao}=ro,lo={...ao,className:`token ${so.types.join(" ")}`,children:so.content,style:this.getStyleForToken(so),key:void 0};return io!==void 0&&(lo.style=lo.style!==void 0?{...lo.style,...io}:io),no!==void 0&&(lo.key=no),oo&&(lo.className+=` ${oo}`),lo}}Ws(HighlightContent,"displayName","HighlightContent"),Ws(HighlightContent,"propTypes",{code:PropTypes.string.isRequired,codesRef:PropTypes.any,collapsed:PropTypes.bool.isRequired,language:PropTypes.string.isRequired,maxLines:PropTypes.number.isRequired,showLineno:PropTypes.bool.isRequired,theme:PropTypes.object.isRequired,highlightLinenos:PropTypes.array.isRequired,onLinenoWidthChange:PropTypes.func});class CodeHighlighter extends React.PureComponent{render(){const{lang:to,value:ro,darken:no=!0,highlightLinenos:oo=[],maxLines:io=-1,collapsed:so=!1,showLineNo:ao=!0,codesRef:lo,onLinenoWidthChange:uo}=this.props,co=this.props.theme??(no?vscDarkTheme:vscLightTheme);return React.createElement(HighlightContent,{code:ro,codesRef:lo,collapsed:so,highlightLinenos:oo,language:to??"",maxLines:io,showLineno:ao,theme:co,onLinenoWidthChange:uo})}}Ws(CodeHighlighter,"displayName","YozoraCodeHighlighter"),Ws(CodeHighlighter,"propTypes",{codesRef:PropTypes.any,collapsed:PropTypes.bool,darken:PropTypes.bool,highlightLinenos:PropTypes.arrayOf(PropTypes.number),lang:PropTypes.string,maxLines:PropTypes.number,onLinenoWidthChange:PropTypes.func,showLineNo:PropTypes.bool,theme:PropTypes.any,value:PropTypes.string.isRequired});const CopyButton=eo=>{const{className:to,delay:ro=1500,calcContentForCopy:no}=eo,[oo,io]=React.useState(0),so=useStyles$h(),ao=oo!==0,lo=()=>{if(oo===0){io(1);try{const uo=no();copy$2(uo),io(2)}catch{io(3)}}};return React.useEffect(()=>{if(oo===2||oo===3){const uo=setTimeout(()=>io(0),ro);return()=>{uo&&clearTimeout(uo)}}},[oo,ro]),jsxRuntimeExports.jsx(Button$2,{appearance:"transparent",className:mergeClasses(so.copyButton,to),disabled:ao,as:"button",icon:oo===0?jsxRuntimeExports.jsx(Copy20Regular,{}):jsxRuntimeExports.jsx(CopyArrowRight20Regular,{}),onClick:lo})},useStyles$h=makeStyles({copyButton:{cursor:"pointer"}});class CodeRendererInner extends React.PureComponent{constructor(){super(...arguments),this.calcContentForCopy=()=>this.props.value}render(){const{calcContentForCopy:to}=this,{darken:ro,lang:no,value:oo,preferCodeWrap:io,showCodeLineno:so}=this.props;return jsxRuntimeExports.jsxs("code",{className:codeCls,"data-wrap":io,children:[jsxRuntimeExports.jsx(CodeHighlighter,{lang:no,value:oo,collapsed:!1,showLineNo:so&&!io,darken:ro}),jsxRuntimeExports.jsx("div",{className:copyBtnCls,children:jsxRuntimeExports.jsx(CopyButton,{calcContentForCopy:to})})]})}}const copyBtnCls=mergeStyles$1({position:"absolute",right:"4px",top:"4px",display:"none"}),codeCls=mergeStyles$1(astClasses.code,{position:"relative",display:"block",boxSizing:"border-box",borderRadius:"4px",margin:"0px 0px 1.25em 0px",backgroundColor:"var(--colorBgCode)",[`&:hover > .${copyBtnCls}`]:{display:"inline-block"},'&&[data-wrap="true"] > div':{whiteSpace:"pre-wrap",wordBreak:"keep-all"}}),CodeRenderer=eo=>{const{lang:to}=eo,ro=eo.value.replace(/[\r\n]+$/,""),{viewmodel:no}=useNodeRendererContext(),oo=useStateValue(no.preferCodeWrap$),io=useStateValue(no.showCodeLineno$),ao=useStateValue(no.themeScheme$)==="darken";return jsxRuntimeExports.jsx(CodeRendererInner,{darken:ao,lang:to??"text",value:ro,preferCodeWrap:oo,showCodeLineno:io})};class DeleteRenderer extends React.Component{shouldComponentUpdate(to){return this.props.children!==to.children}render(){const to=this.props.children;return jsxRuntimeExports.jsx("del",{className:cls$9,children:jsxRuntimeExports.jsx(NodesRenderer,{nodes:to})})}}const cls$9=mergeStyles$1(astClasses.delete,{marginRight:"4px",color:"var(--colorDelete)",fontStyle:"italic",textDecoration:"line-through"});class EmphasisRenderer extends React.Component{shouldComponentUpdate(to){return this.props.children!==to.children}render(){const to=this.props.children;return jsxRuntimeExports.jsx("em",{className:cls$8,children:jsxRuntimeExports.jsx(NodesRenderer,{nodes:to})})}}const cls$8=mergeStyles$1(astClasses.emphasis,{fontStyle:"italic",margin:"0 6px 0 2px"});class HeadingRenderer extends React.Component{shouldComponentUpdate(to){const ro=this.props;return ro.depth!==to.depth||ro.identifier!==to.identifier||ro.children!==to.children||ro.linkIcon!==to.linkIcon}render(){const{depth:to,identifier:ro,children:no,linkIcon:oo="¶"}=this.props,io=ro==null?void 0:encodeURIComponent(ro),so="h"+to,ao=so,lo=mergeStyles$1(astClasses.heading,classes$1.heading,classes$1[so]);return jsxRuntimeExports.jsxs(ao,{id:io,className:lo,children:[jsxRuntimeExports.jsx("p",{className:classes$1.content,children:jsxRuntimeExports.jsx(NodesRenderer,{nodes:no})}),ro&&jsxRuntimeExports.jsx("a",{className:classes$1.anchor,href:"#"+io,children:oo})]})}}const anchorCls=mergeStyles$1({flex:"0 0 3rem",paddingLeft:"0.5rem",color:"var(--colorLink)",opacity:0,transition:"color 0.2s ease-in-out, opacity 0.2s ease-in-out",userSelect:"none",textDecoration:"none","> svg":{overflow:"hidden",display:"inline-block",verticalAlign:"middle",fill:"currentColor"}}),classes$1=mergeStyleSets({heading:{display:"flex",alignItems:"center",justifyContent:"flex-start",padding:"0px",margin:"0px 0px 1.25em 0px",marginBottom:"1em",lineHeight:"1.25",fontFamily:"var(--fontFamilyHeading)",color:"var(--colorHeading)",[`&:active .${anchorCls}`]:{opacity:.8,color:"var(--colorLinkActive)"},[`&&:hover .${anchorCls}`]:{opacity:.8,color:"var(--colorLinkHover)"}},anchor:anchorCls,content:{flex:"0 1 auto",minWidth:0,margin:0,overflow:"hidden",textOverflow:"ellipsis",whiteSpace:"pre-wrap",lineHeight:"1.7"},h1:{padding:"0.3rem 0",borderBottom:"1px solid var(--colorBorderHeading)",fontSize:"2rem",fontStyle:"normal",fontWeight:500},h2:{padding:"0.3rem 0",borderBottom:"1px solid var(--colorBorderHeading)",fontSize:"1.5rem",fontStyle:"normal",fontWeight:500,marginBottom:"0.875rem"},h3:{fontSize:"1.25rem",fontStyle:"normal",fontWeight:500},h4:{fontSize:"1rem",fontStyle:"normal",fontWeight:500},h5:{fontSize:"0.875rem",fontStyle:"normal",fontWeight:500},h6:{fontSize:"0.85rem",fontStyle:"normal",fontWeight:500}});class ImageRendererInner extends React.Component{shouldComponentUpdate(to){const ro=this.props;return ro.src!==to.src||ro.alt!==to.alt||ro.title!==to.title||ro.srcSet!==to.srcSet||ro.sizes!==to.sizes||ro.loading!==to.loading||ro.className!==to.className}render(){const{src:to,alt:ro,title:no,srcSet:oo,sizes:io,loading:so,className:ao}=this.props;return jsxRuntimeExports.jsxs("figure",{className:`${ao} ${cls$7}`,children:[jsxRuntimeExports.jsx("img",{alt:ro,src:to,title:no,srcSet:oo,sizes:io,loading:so}),no&&jsxRuntimeExports.jsx("figcaption",{children:no})]})}}const cls$7=mergeStyles$1({boxSizing:"border-box",maxWidth:"80%",display:"flex",flexDirection:"column",alignItems:"center",margin:0,"> img":{flex:"1 0 auto",boxSizing:"border-box",maxWidth:"100%",border:"1px solid var(--colorBorderImage)",boxShadow:"0 0 20px 1px rgba(126, 125, 150, 0.6)"},"> figcaption":{textAlign:"center",fontStyle:"italic",fontSize:"1em",color:"var(--colorImageTitle)"}}),ImageRenderer=eo=>{const{url:to,alt:ro,title:no,srcSet:oo,sizes:io,loading:so}=eo;return jsxRuntimeExports.jsx(ImageRendererInner,{alt:ro,src:to,title:no,srcSet:oo,sizes:io,loading:so,className:astClasses.image})},ImageReferenceRenderer=eo=>{const{viewmodel:to}=useNodeRendererContext(),ro=useStateValue(to.definitionMap$),{alt:no,srcSet:oo,sizes:io,loading:so}=eo,ao=ro[eo.identifier],lo=(ao==null?void 0:ao.url)??"",uo=ao==null?void 0:ao.title;return jsxRuntimeExports.jsx(ImageRendererInner,{alt:no,src:lo,title:uo,srcSet:oo,sizes:io,loading:so,className:astClasses.imageReference})};class InlineCodeRenderer extends React.Component{shouldComponentUpdate(to){return this.props.value!==to.value}render(){return jsxRuntimeExports.jsx("code",{className:cls$6,children:this.props.value})}}const cls$6=mergeStyles$1(astClasses.inlineCode,{padding:"1px 4px",borderRadius:"4px",margin:0,background:"hsla(210deg, 15%, 60%, 0.15)",lineHeight:"1.375",color:"var(--colorInlineCode)",fontFamily:"var(--fontFamilyCode)",fontSize:"min(1rem, 18px)",fontWeight:500});class LinkRendererInner extends React.Component{shouldComponentUpdate(to){const ro=this.props;return ro.url!==to.url||ro.title!==to.title||ro.childNodes!==to.childNodes||ro.className!==to.className}render(){const{url:to,title:ro,childNodes:no,className:oo}=this.props;return jsxRuntimeExports.jsx("a",{className:mergeStyles$1(cls$5,oo),href:to,title:ro,rel:"noopener, noreferrer",target:"_blank",children:jsxRuntimeExports.jsx(NodesRenderer,{nodes:no})})}}const cls$5=mergeStyles$1({padding:"0.2rem 0",color:"var(--colorLink)",textDecoration:"none",background:"linear-gradient(90deg, hsla(358deg, 100%, 62%, 0.8), hsla(048deg, 100%, 50%, 0.8), hsla(196deg, 100%, 53%, 0.8))",backgroundSize:"0 3px",backgroundRepeat:"no-repeat",backgroundPosition:"50% 100%",transition:"all 0.3s ease-in-out","&:active":{color:"var(--colorLinkActive)"},"&&:hover":{color:"var(--colorLinkHover)",backgroundSize:"100% 3px",backgroundPositionX:0},"&:visited":{color:"var(--colorLinkVisited)"}}),LinkRenderer=eo=>{const{url:to,title:ro,children:no}=eo;return jsxRuntimeExports.jsx(LinkRendererInner,{url:to,title:ro,childNodes:no,className:astClasses.link})},LinkReferenceRenderer=eo=>{const{viewmodel:to}=useNodeRendererContext(),no=useStateValue(to.definitionMap$)[eo.identifier],oo=(no==null?void 0:no.url)??"",io=no==null?void 0:no.title;return jsxRuntimeExports.jsx(LinkRendererInner,{url:oo,title:io,childNodes:eo.children,className:astClasses.linkReference})};class ListRenderer extends React.Component{shouldComponentUpdate(to){const ro=this.props;return ro.ordered!==to.ordered||ro.orderType!==to.orderType||ro.start!==to.start||ro.children!==to.children}render(){const{ordered:to,orderType:ro,start:no,children:oo}=this.props;return to?jsxRuntimeExports.jsx("ol",{className:cls$4,type:ro,start:no,children:jsxRuntimeExports.jsx(NodesRenderer,{nodes:oo})}):jsxRuntimeExports.jsx("ul",{className:cls$4,children:jsxRuntimeExports.jsx(NodesRenderer,{nodes:oo})})}}const cls$4=mergeStyles$1(astClasses.list,{padding:"0px",margin:"0 0 1em 2em",lineHeight:"2","> :last-child":{marginBottom:"0px"}});class ListItemRenderer extends React.Component{shouldComponentUpdate(to){return this.props.children!==to.children}render(){const to=this.props.children;return jsxRuntimeExports.jsx("li",{className:cls$3,children:jsxRuntimeExports.jsx(NodesRenderer,{nodes:to})})}}const cls$3=mergeStyles$1(astClasses.listItem,{position:"relative",padding:0,margin:0,"> :last-child":{marginBottom:0}});class ParagraphRenderer extends React.Component{shouldComponentUpdate(to){return this.props.children!==to.children}render(){const to=this.props.children;return to.some(no=>no.type===ImageType$1||no.type===ImageReferenceType)?jsxRuntimeExports.jsx("div",{className:paragraphDisplayCls,children:jsxRuntimeExports.jsx(NodesRenderer,{nodes:to})}):jsxRuntimeExports.jsx("p",{className:paragraphCls,children:jsxRuntimeExports.jsx(NodesRenderer,{nodes:to})})}}const paragraphCls=mergeStyles$1(astClasses.paragraph,{overflow:"hidden",padding:0,margin:"0px 0px 1.25em 0px",marginBottom:"1em",lineHeight:"1.8",hyphens:"auto",wordBreak:"normal",letterSpacing:"1px",overflowWrap:"break-word","> :last-child":{marginBottom:0}}),paragraphDisplayCls=mergeStyles$1(paragraphCls,{display:"flex",alignItems:"center",justifyContent:"center",padding:"1rem 0",margin:0});class StrongRenderer extends React.Component{shouldComponentUpdate(to){return this.props.children!==to.children}render(){const to=this.props.children;return jsxRuntimeExports.jsx("strong",{className:cls$2,children:jsxRuntimeExports.jsx(NodesRenderer,{nodes:to})})}}const cls$2=mergeStyles$1(astClasses.strong,{fontWeight:600});class TableRenderer extends React.Component{shouldComponentUpdate(to){const ro=this.props;return!isEqual(ro.columns,to.columns)||!isEqual(ro.children,to.children)}render(){const{columns:to,children:ro}=this.props,no=to.map(so=>so.align??void 0),[oo,...io]=ro.map(so=>so.children.map((ao,lo)=>jsxRuntimeExports.jsx(NodesRenderer,{nodes:ao.children},lo)));return jsxRuntimeExports.jsxs("table",{className:cls$1,children:[jsxRuntimeExports.jsx("thead",{children:jsxRuntimeExports.jsx("tr",{children:oo.map((so,ao)=>jsxRuntimeExports.jsx(Th,{align:no[ao],children:so},ao))})}),jsxRuntimeExports.jsx("tbody",{children:io.map((so,ao)=>jsxRuntimeExports.jsx("tr",{children:so.map((lo,uo)=>jsxRuntimeExports.jsx("td",{align:no[uo],children:lo},uo))},ao))})]})}}class Th extends React.Component{constructor(to){super(to),this.ref={current:null}}shouldComponentUpdate(to){const ro=this.props;return ro.align!==to.align||ro.children!==to.children}render(){const{align:to,children:ro}=this.props;return jsxRuntimeExports.jsx("th",{ref:this.ref,align:to,children:ro})}componentDidMount(){const to=this.ref.current;to&&to.setAttribute("title",to.innerText)}componentDidUpdate(){const to=this.ref.current;to&&to.setAttribute("title",to.innerText)}}const cls$1=mergeStyles$1(astClasses.table,{display:"block",overflow:"auto",width:"max-content",maxWidth:"100%",padding:0,borderCollapse:"collapse",borderRadius:"6px",borderSpacing:"0px",border:"1px solid var(--colorBorderTable)",margin:"0 auto 1.25em",lineHeight:"1.6","> thead":{backgroundColor:"var(--colorBgTableHead)",borderBottom:"1px solid #f0f0f0",th:{padding:"0.5rem 1rem",borderLeft:"1px solid var(--colorBorderTable)",wordBreak:"normal",whiteSpace:"nowrap",overflow:"hidden",textOverflow:"ellipsis","&:first-child":{borderLeft:"none"}}},"> tbody":{tr:{borderTop:"1px solid var(--colorBorderTable)",backgroundColor:"var(--colorBgTableOddRow)"},"tr:nth-child(2n)":{backgroundColor:"var(--colorBgTableEvenRow)"},td:{padding:"0.5rem 1rem",borderLeft:"1px solid var(--colorBorderTable)","&:first-child":{borderLeft:"none"}}}});class TextRenderer extends React.Component{shouldComponentUpdate(to){return this.props.value!==to.value}render(){return jsxRuntimeExports.jsx(React.Fragment,{children:this.props.value})}}class ThematicBreakRenderer extends React.Component{shouldComponentUpdate(){return!1}render(){return jsxRuntimeExports.jsx("hr",{className:cls})}}const cls=mergeStyles$1(astClasses.thematicBreak,{boxSizing:"content-box",display:"block",height:0,width:"100%",padding:0,border:0,borderBottom:"1px solid #dadada",outline:0,margin:"1.5em 0px"});function buildNodeRendererMap(eo){if(eo==null)return defaultNodeRendererMap;let to=!1;const ro={};for(const[no,oo]of Object.entries(eo))oo&&oo!==defaultNodeRendererMap[no]&&(to=!0,ro[no]=oo);return to?{...defaultNodeRendererMap,...ro}:defaultNodeRendererMap}const defaultNodeRendererMap={[BlockquoteType]:BlockquoteRenderer,[BreakType]:BreakRenderer,[CodeType]:CodeRenderer,[DefinitionType]:()=>null,[DeleteType]:DeleteRenderer,[EmphasisType]:EmphasisRenderer,[HeadingType]:HeadingRenderer,[HtmlType]:()=>null,[ImageType$1]:ImageRenderer,[ImageReferenceType]:ImageReferenceRenderer,[InlineCodeType]:InlineCodeRenderer,[LinkType]:LinkRenderer,[LinkReferenceType]:LinkReferenceRenderer,[ListType]:ListRenderer,[ListItemType]:ListItemRenderer,[ParagraphType$1]:ParagraphRenderer,[StrongType]:StrongRenderer,[TableType]:TableRenderer,[TextType$1]:TextRenderer,[ThematicBreakType]:ThematicBreakRenderer,_fallback:function eo(to,ro){return console.warn(`Cannot find render for \`${to.type}\` type node with key \`${ro}\`:`,to),null}},ReactMarkdown=eo=>{const{presetDefinitionMap:to,customizedRendererMap:ro,preferCodeWrap:no=!1,showCodeLineno:oo=!0,text:io,themeScheme:so="lighten",className:ao,style:lo}=eo,uo=React.useMemo(()=>parser$1.parse(io),[io]),co=React.useMemo(()=>calcDefinitionMap(uo).definitionMap,[uo]),[fo]=React.useState(()=>new ReactMarkdownViewModel({definitionMap:{...to,...co},rendererMap:buildNodeRendererMap(ro),preferCodeWrap:no,showCodeLineno:oo,themeScheme:so})),ho=React.useMemo(()=>({viewmodel:fo}),[fo]),po=mergeClasses(rootCls,so==="darken"&&astClasses.rootDarken,ao);return React.useEffect(()=>{fo.preferCodeWrap$.next(no)},[fo,no]),React.useEffect(()=>{fo.showCodeLineno$.next(oo)},[fo,oo]),React.useEffect(()=>{fo.themeScheme$.next(so)},[fo,so]),jsxRuntimeExports.jsx("div",{className:po,style:lo,children:jsxRuntimeExports.jsx(NodeRendererContextType.Provider,{value:ho,children:jsxRuntimeExports.jsx(NodesRenderer,{nodes:uo.children})})})},rootCls=mergeStyles$1(astClasses.root,{wordBreak:"break-all",userSelect:"unset",[astClasses.listItem]:{[`> ${astClasses.list}`]:{marginLeft:"1.2em"}},"> :last-child":{marginBottom:0}}),BasicViewer=({styles:eo,showEmpty:to,emptyRender:ro,previewRender:no,rawRender:oo,headerRender:io})=>{const so=useClasses$k(),[ao,lo]=reactExports.useState("preview"),uo=reactExports.useCallback(fo=>{lo(fo)},[]),co=useLocStrings();return to?ro?ro():jsxRuntimeExports.jsx(MessageBar,{intent:"info",children:co["No content"]}):jsxRuntimeExports.jsxs("div",{className:eo==null?void 0:eo.root,children:[oo&&jsxRuntimeExports.jsxs("div",{className:so.header,children:[jsxRuntimeExports.jsx("div",{style:{flex:1,overflow:"hidden"},children:io==null?void 0:io()}),jsxRuntimeExports.jsx("div",{className:so.groupWrapper,children:jsxRuntimeExports.jsxs("div",{className:so.buttonGroup,children:[jsxRuntimeExports.jsx(Button$2,{value:"preview",size:"small",appearance:ao==="preview"?void 0:"transparent",onClick:()=>uo("preview"),children:co.Preview}),jsxRuntimeExports.jsx(Button$2,{value:"raw",size:"small",appearance:ao==="raw"?void 0:"transparent",onClick:()=>uo("raw"),children:co.Raw})]})})]}),ao==="preview"||!oo?no():null,ao==="raw"&&oo?oo():null]})},useClasses$k=makeStyles({header:{display:"flex",alignItems:"center",marginBottom:"12px"},groupWrapper:{display:"flex",flexDirection:"row-reverse"},buttonGroup:{display:"inline-flex",...shorthands.borderRadius("5px"),backgroundColor:tokens.colorNeutralBackground5}}),MarkdownViewer=({content:eo})=>{const to=useStyles$g();return jsxRuntimeExports.jsx(BasicViewer,{styles:to,showEmpty:!eo,previewRender:()=>jsxRuntimeExports.jsx(ReactMarkdown,{text:`${eo}`}),rawRender:()=>jsxRuntimeExports.jsx("div",{style:{marginTop:6},children:`${eo}`})})},useStyles$g=makeStyles({root:{wordBreak:"break-all",whiteSpace:"break-spaces",...shorthands.overflow("auto")}}),EmbeddingNodeInfo=()=>{var lo,uo,co;const eo=useSelectedSpan(),to=((lo=eo==null?void 0:eo.attributes)==null?void 0:lo["llm.response.model"])??((uo=eo==null?void 0:eo.attributes)==null?void 0:uo["embedding.model"]),ro=useLocStrings(),[no,oo]=reactExports.useState(ViewStatus.loading),io=useLoadSpanEvents(eo,BuildInEventName["embedding.embeddings"]),so=useSpanEventsWithPayload(eo,BuildInEventName["embedding.embeddings"]);let ao=JSON.parse(((co=eo==null?void 0:eo.attributes)==null?void 0:co["embedding.embeddings"])??"[]")??[];return so.length>0&&(ao=so.map(fo=>(fo==null?void 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jsxRuntimeExports.jsxs("div",{className:no.wrapper,children:[jsxRuntimeExports.jsx(Button$2,{icon:to?jsxRuntimeExports.jsx(TextWrapOff16Regular,{}):jsxRuntimeExports.jsx(TextWrap16Regular,{}),onClick:()=>ro(!to),size:"small"}),jsxRuntimeExports.jsx("pre",{className:`${to&&no.wrap} ${no.pre}`,children:eo})]})},useClasses$j=makeStyles({wrapper:{width:"95%",height:"100%",paddingLeft:tokens.spacingHorizontalM,color:tokens.colorNeutralForeground1,display:"flex",flexDirection:"column"},wrap:{wordBreak:"break-all",whiteSpace:"pre-wrap"},pre:{marginTop:0}}),ErrorsTab=()=>{var lo;const eo=useClasses$i(),to=useSelectedSpan(),ro=((lo=to==null?void 0:to.events)==null?void 0:lo.filter(uo=>uo.name===BuildInEventName.exception))??[],no=useIsDark(),oo=useLocStrings(),[io,so]=reactExports.useState(ViewStatus.loading),ao=useLoadSpanEvents(to,BuildInEventName.exception);return reactExports.useEffect(()=>{ao({onCompleted:uo=>{so(uo?ViewStatus.error:ViewStatus.loaded)}})},[]),ro.length===0?jsxRuntimeExports.jsxs("div",{className:eo.emptyWrapper,children:[jsxRuntimeExports.jsx(ShieldCheckmark24Regular,{}),jsxRuntimeExports.jsxs(Text$2,{className:eo.emptyText,children:[" 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0:po.context)==null?void 0:go.span_id}).filter(po=>po!==void 0),ho=to.filter(po=>po!==ao).filter(po=>!fo.includes(po));ro(ho)}else ro([...to,ao])},[to,no]),io=reactExports.useMemo(()=>{const ao=lo=>lo.reduce((uo,co)=>{var po,go;const ho=((po=co==null?void 0:co.context)!=null&&po.span_id?to.includes((go=co==null?void 0:co.context)==null?void 0:go.span_id):!1)?ao(co.children):[];return[...uo,co,...ho]},[]);return ao(no)},[to,no]),so=reactExports.useCallback(ao=>ao?to.includes(ao):!1,[to]);return{rows:io,toggleSubRows:oo,isRowExpanded:so}},findAllDescendants=eo=>{let to=[...eo.children];return eo.children.forEach(ro=>{to=[...to,...findAllDescendants(ro)]}),to},findRowById=(eo,to)=>{var ro;for(const no of to){if(((ro=no==null?void 0:no.context)==null?void 0:ro.span_id)===eo)return no;const oo=findRowById(eo,no.children);if(oo)return oo}return null},CellExpander=({isExpanded:eo=!1,onToggle:to})=>{const ro=useClasses$h();return jsxRuntimeExports.jsx("div",{className:ro.wrapper,onClick:()=>to&&to(!eo),children:eo?jsxRuntimeExports.jsx(ChevronDown16Filled,{}):jsxRuntimeExports.jsx(ChevronRight16Filled,{})})},useClasses$h=makeStyles({wrapper:{cursor:"pointer",display:"flex"}}),UNDEFINED_VALUE_PLACEHOLDER="N/A",TRACE_POLLING_GAP=6e4,RUNNING_TRACE_POLLING_GAP=3e4,SPAN_POLLING_GAP=3e4,LOCAL_URL_PREFIX="";function KindText({kind:eo}){return jsxRuntimeExports.jsx(Badge$2,{appearance:"outline",size:"medium",children:eo||UNDEFINED_VALUE_PLACEHOLDER})}function TimeText({time:eo}){const to=timeFormat(eo);return jsxRuntimeExports.jsx("time",{children:to})}const CellWrapper=({children:eo})=>{const to=useClasses$g();return jsxRuntimeExports.jsx("div",{className:to.cellWrapper,children:eo})},TextCellWrapper=({children:eo})=>{const to=useClasses$g();return jsxRuntimeExports.jsx("div",{className:to.textCellWrapper,children:jsxRuntimeExports.jsx("p",{className:to.textCellP,children:eo})})},CellSkeleton=({height:eo})=>{const to=useClasses$g();return jsxRuntimeExports.jsx(Skeleton,{className:to.textCellWrapper,children:jsxRuntimeExports.jsx(SkeletonItem,{style:{height:`${eo??20}px`}})})},useClasses$g=makeStyles({cellWrapper:{display:"flex",flexDirection:"row",alignItems:"center",height:"100%"},textCellWrapper:{display:"flex",flexDirection:"row",alignItems:"center",height:"100%",width:"100%"},textCellP:{wordWrap:"break-word",maxWidth:"100%",lineHeight:tokens.lineHeightBase200,fontSize:tokens.fontSizeBase300,maxHeight:"100%",whiteSpace:"normal",...shorthands.padding(tokens.spacingVerticalS,tokens.spacingHorizontalXS)}}),isValidJson=eo=>{if(typeof eo=="string")return!1;try{return JSON.stringify(eo),!0}catch{return!1}},TraceListJsonCell=({jsonObject:eo,isViewDetailEnabled:to=!1})=>{const ro=isValidJson(eo);return jsxRuntimeExports.jsx(CellWrapper,{children:ro?jsxRuntimeExports.jsx(TraceListObjectCell,{object:eo,isViewDetailEnabled:to}):jsxRuntimeExports.jsx(TextCellWrapper,{children:formatText(String(eo))})})},TraceListObjectCell=({object:eo,isViewDetailEnabled:to})=>{const ro=useIsDark();return to?jsxRuntimeExports.jsxs(Dialog,{children:[jsxRuntimeExports.jsx(DialogTrigger,{children:jsxRuntimeExports.jsx("div",{style:{overflow:"hidden",height:"100%",width:"100%",marginTop:"12px",lineHeight:"16px"},children:jsxRuntimeExports.jsx(JsonViewer,{src:eo,enableClipboard:!1,collapsed:1,dark:ro,theme:"vscode"})})}),jsxRuntimeExports.jsx(DialogSurface,{children:jsxRuntimeExports.jsx("div",{style:{height:"800px",width:"800ppx",marginTop:"12px",lineHeight:"16px",overflow:"auto"},children:jsxRuntimeExports.jsx(JsonViewer,{src:eo,enableClipboard:!0,collapseStringsAfterLength:200,dark:ro,theme:"vscode"})})})]}):jsxRuntimeExports.jsx("div",{style:{overflow:"hidden",height:"100%",width:"100%",marginTop:"12px",lineHeight:"16px"},children:jsxRuntimeExports.jsx(JsonViewer,{src:eo,enableClipboard:!1,collapseStringsAfterLength:50,collapsed:1,dark:ro,theme:"vscode"})})},MAX_LENGTH=80;function formatText(eo){return eo.length>MAX_LENGTH?`${eo.slice(0,MAX_LENGTH)}...`:eo}const useClasses$f=makeStyles({grid:{},row:{cursor:"pointer"},nameCell:{color:tokens.colorBrandForeground1,fontWeight:tokens.fontWeightSemibold,":hover":{...shorthands.textDecoration("underline")}},kindCell:{display:"flex",alignItems:"center",justifyContent:"flex-start",height:"100%",...shorthands.gap("4px")}}),EvaluationTracesList=({evaluationSpans:eo,className:to})=>{const ro=useClasses$f(),no=useIsDark(),{rows:oo,toggleSubRows:io,isRowExpanded:so}=useEvaluationTracesListRow(eo),ao=useLocStrings(),lo=useSetSelectedEvaluationTraceId();return jsxRuntimeExports.jsx(DataGrid$1$1,{className:`${mergeStyles$1(ro.grid,to)} ${no?"rdg-dark":"rdg-light"}`,rowClass:()=>ro.row,columns:[{key:"kind",name:ao.Kind,minWidth:150,maxWidth:300,renderCell:({row:uo})=>{var fo,ho,po;const co=((fo=uo==null?void 0:uo.children)==null?void 0:fo.length)>0;return jsxRuntimeExports.jsxs("div",{className:ro.kindCell,style:{paddingLeft:uo.depth*16+(co?0:20)},children:[co&&jsxRuntimeExports.jsx(CellExpander,{isExpanded:so((ho=uo==null?void 0:uo.context)==null?void 0:ho.span_id),onToggle:()=>{var go,vo;(go=uo==null?void 0:uo.context)!=null&&go.span_id&&io((vo=uo==null?void 0:uo.context)==null?void 0:vo.span_id)}}),jsxRuntimeExports.jsx(KindText,{kind:(po=uo.attributes)==null?void 0:po.span_type})]})}},{key:"name",name:ao.Name,minWidth:150,maxWidth:300,renderCell:({row:uo})=>jsxRuntimeExports.jsx(Tooltip,{content:uo.name??"",relationship:"label",children:jsxRuntimeExports.jsx(Link$1,{className:ro.nameCell,title:uo.name,onClick:()=>{var co;lo((co=uo.context)==null?void 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co;return jsxRuntimeExports.jsx(CellWrapper,{children:jsxRuntimeExports.jsx(TokenText,{token:Number.parseInt(((co=uo.attributes)==null?void 0:co["__computed__.cumulative_token_count.total"])??"0")})})}},{key:"status",name:ao.Status,minWidth:120,renderCell:({row:uo})=>{var co;return jsxRuntimeExports.jsx(CellWrapper,{children:jsxRuntimeExports.jsx(StatusText,{statusCode:(co=uo.status)==null?void 0:co.status_code})})}}],rows:oo,headerRowHeight:26,rowHeight:80,defaultColumnOptions:{resizable:!0}})},EvaluationsTab=()=>{var lo,uo,co;const eo=useClasses$e(),to=useEvaluationSpansOfSelectedSpan(),[ro,no]=reactExports.useState((lo=to[0])==null?void 0:lo.evaluationName),oo=((uo=to.find(fo=>fo.evaluationName===ro))==null?void 0:uo.evaluationTraces)??[],io=useSelectedTrace(),so=(io==null?void 0:io.evaluations)??{},ao=((co=so[ro??""])==null?void 0:co.outputs)??{};return jsxRuntimeExports.jsxs(Card,{style:{height:"100%"},children:[jsxRuntimeExports.jsx(CardHeader,{header:jsxRuntimeExports.jsx(TabList,{selectedValue:ro,onTabSelect:(fo,ho)=>{no(ho.value)},children:to.map(fo=>jsxRuntimeExports.jsx(Tab$1,{value:fo.evaluationName,children:fo.evaluationName},fo.evaluationName))})}),jsxRuntimeExports.jsxs("div",{className:eo.wrapper,children:[ro&&so[ro]&&Object.keys(ao).map(fo=>{const ho=ao[fo];return ho?jsxRuntimeExports.jsx(MetricTag,{tag:{name:fo,value:ho}},fo):null}),jsxRuntimeExports.jsx(EvaluationTracesList,{evaluationSpans:oo,className:eo.grid})]})]})},useClasses$e=makeStyles({wrapper:{display:"flex",flexDirection:"column",height:"100%",...shorthands.gap("8px")},grid:{flexGrow:1}}),LLMNodeInvocationParametersTab=()=>{var vo,bo;const eo=useSelectedSpan(),to=useParentSpanOfSelectedSpan(),ro=to==null?void 0:to.attributes,no=useSpanEventsWithPayload(to,BuildInEventName["prompt.template"])[0],oo=no?(vo=no.attributes)==null?void 0:vo["prompt.variables"]:JSON.parse((ro==null?void 0:ro["prompt.variables"])??"{}"),so=useSpanEventsWithPayload(eo,BuildInEventName["function.inputs"])[0]??JSON.parse(((bo=eo==null?void 0:eo.attributes)==null?void 0:bo.inputs)??"{}"),ao=Object.keys(oo??{}),lo={};Object.keys(so).forEach(xo=>{xo!=="messages"&&(ao.includes(xo)||(lo[xo]=so[xo]))});const[uo,co]=reactExports.useState(ViewStatus.loading),fo=useLoadSpanEvents(eo,BuildInEventName["prompt.template"]),[ho,po]=reactExports.useState(ViewStatus.loading),go=useLoadSpanEvents(eo,BuildInEventName["function.inputs"]);return reactExports.useEffect(()=>{fo({onCompleted:xo=>{co(xo?ViewStatus.error:ViewStatus.loaded)}}),go({onCompleted:xo=>{po(xo?ViewStatus.error:ViewStatus.loaded)}})},[]),uo===ViewStatus.loading||ho===ViewStatus.loading?jsxRuntimeExports.jsx("div",{children:jsxRuntimeExports.jsx(Spinner,{})}):uo===ViewStatus.error||ho===ViewStatus.error?jsxRuntimeExports.jsx("div",{children:jsxRuntimeExports.jsx(DefaultNodeLoadError,{onRetry:()=>{co(ViewStatus.loading),fo({onCompleted:xo=>{co(xo?ViewStatus.error:ViewStatus.loaded)},forceRefresh:!0}),po(ViewStatus.loading),go({onCompleted:xo=>{po(xo?ViewStatus.error:ViewStatus.loaded)},forceRefresh:!0})}})}):jsxRuntimeExports.jsx(LLMNodeInvocationParameters,{invocationParameters:lo})},LLMNodeInvocationParameters=({invocationParameters:eo})=>{const to=useIsDark();return jsxRuntimeExports.jsx(JsonViewer,{src:eo,theme:"vscode",dark:to})};var ChatMessageCategory=(eo=>(eo.System="system",eo.Error="error",eo.Chatbot="chatbot",eo.User="user",eo))(ChatMessageCategory||{}),ChatMessageType=(eo=>(eo.Message="message",eo.SessionSplit="session-split",eo))(ChatMessageType||{}),CopyStatus=(eo=>(eo[eo.PENDING=0]="PENDING",eo[eo.COPYING=1]="COPYING",eo[eo.COPIED=2]="COPIED",eo[eo.FAILED=3]="FAILED",eo))(CopyStatus||{}),ChatboxLocator=(eo=>(eo.MessageBubble="chatbox-message-bubble",eo.MessageContent="chatbox-message-content",eo.MessageList="chatbox-message-list",eo.MessageActionBar="chatbox-message-action-bar",eo))(ChatboxLocator||{}),ChatboxSelector=(eo=>(eo.MessageBubble='[data-chatbox-locator="chatbox-message-bubble"]',eo.MessageContent='[data-chatbox-locator="chatbox-message-content"]',eo.MessageList='[data-chatbox-locator="chatbox-message-list"]',eo.MessageActionBar='[data-chatbox-locator="chatbox-message-action-bar"]',eo))(ChatboxSelector||{});const defaultLocStrings$1={CopyToClipboard:"Copy to clipboard",CopyToClipboard_Copying:"Copying...",CopyToClipboard_Copied:"Copied!",CopyToClipboard_Failed:"Failed!",Header_Clear:"Click to clear all chat histories",Header_Close:"Click to close chat box",Header_EnterFullScreen:"Click to enter full screen mode",Header_ExitFullScreen:"Click to exit full screen mode",Header_Title:"Chat",Input_Placeholder:"Input anything to test...",MessageError_HideDetail:"Hide Detail",MessageError_ShowDetail:"Show Detail",MessageStatus_TimeSpentDesc:"time spent",MessageStatus_TimeSpentDscCapitalized:"Time spent",MessageStatus_TimeSpent_Unit:"sec",MessageStatus_TokensDesc:"Total tokens for generating this",MessageStatus_TokensUint:"tokens",SessionSplit_Desc:"Your session start from here.",Tooltip_Bottom:"Only default variants will be used for chat, if you want to test variants please try bulk test. For chatbot and test app bot, it will only show the chat output.",Tooltip_TotalTokens:"Total tokens",Typing:"Generating chat output for you"};class ChatboxViewModel{constructor(to){this.calcContentForCopy=fo=>this.calcContentForCopy$.getSnapshot()(fo),this.monitorInputContentChange=fo=>this.inputContentChangeTick$.subscribeStateChange(fo),this.notifyInputContentChange=()=>{this.inputContentChangeTick$.setState(fo=>fo+1)},this.sendMessage=fo=>{const ho=this.editorRef.current;if(!ho){console.log("!!!editorRef is not mounted.");return}const po=fo??ho.getContent(),go=this.sendMessage$.getSnapshot(),bo=this.makeUserMessage$.getSnapshot()(po);this.messages$.setState(xo=>[...xo,bo]),ho.clear(),this.isOthersTyping$.next(!0),go(po,this,bo).then(xo=>{xo!==void 0&&this.messages$.setState(_o=>[..._o,xo])}).finally(()=>{this.isOthersTyping$.next(!1)})},this.setCalcContentForCopy=fo=>{this.calcContentForCopy$.next(fo)},this.setMakeUserMessage=fo=>{this.makeUserMessage$.next(fo)},this.setSendMessage=fo=>{this.sendMessage$.next(fo)},this.sessionSplit=fo=>{const ho={id:uuid_1.v4(),type:ChatMessageType.SessionSplit,history:[{category:ChatMessageCategory.System,from:"system",content:fo??"",timestamp:new Date().toISOString()}]};return this.messages$.setState(po=>[...po,ho]),ho};const{alias:ro="",initialDisabled:no=!1,initialMessages:oo=[],locStrings:io=defaultLocStrings$1,calcContentForCopy:so=fo=>typeof fo.content=="string"?fo.content:JSON.stringify(fo.content),makeUserMessage:ao=fo=>({id:uuid_1.v4(),type:ChatMessageType.Message,history:[{category:ChatMessageCategory.User,from:this.alias$.getSnapshot(),timestamp:new Date().toISOString(),content:fo}]}),sendMessage:lo=async fo=>({id:uuid_1.v4(),type:ChatMessageType.Message,history:[{category:ChatMessageCategory.Chatbot,from:"chatbot",timestamp:new Date().toISOString(),content:fo}]})}=to;this.editorRef={current:null};const uo=new State(0),co=Computed.fromObservables([uo],()=>{var fo;return(fo=this.editorRef.current)==null?void 0:fo.isEmpty()});this.alias$=new State(ro),this.disabled$=new State(no),this.inputContentChangeTick$=uo,this.isEditorEmpty$=co,this.isOthersTyping$=new State(!1),this.locStrings$=new State(io),this.messages$=new State(oo),this.calcContentForCopy$=new State(so),this.makeUserMessage$=new State(ao),this.sendMessage$=new State(lo)}}const viewmodel=new ChatboxViewModel({sendMessage:()=>Promise.resolve({id:Date.now(),type:ChatMessageType.Message,history:[{category:ChatMessageCategory.System,from:"system",timestamp:new Date().toISOString(),content:"sendMessage not implemented!"}]})});React.createContext({viewmodel});function useEventCallback$1(eo){const to=reactExports.useRef(eo);return reactExports.useLayoutEffect(()=>{to.current=eo}),reactExports.useCallback((...ro)=>{const no=to.current;return no(...ro)},[])}function useCopyAction(eo,to){const[ro,no]=React.useState(CopyStatus.PENDING),oo=useEventCallback$3(so=>{if(ro===CopyStatus.PENDING){no(CopyStatus.COPYING);try{const ao=to(so);copy$2(ao),no(CopyStatus.COPIED)}catch{no(CopyStatus.FAILED)}}});return React.useEffect(()=>{if(ro===CopyStatus.COPIED||ro===CopyStatus.FAILED){let so=setTimeout(()=>{so=void 0,no(CopyStatus.PENDING)},1500);return()=>{so&&clearTimeout(so)}}},[ro]),React.useMemo(()=>({key:"copy",group:2,icon:ro===CopyStatus.PENDING?jsxRuntimeExports.jsx(Copy20Regular,{}):jsxRuntimeExports.jsx(CopyArrowRight20Regular,{}),tooltip:jsxRuntimeExports.jsx(jsxRuntimeExports.Fragment,{children:eo.CopyToClipboard}),disabled:ro!==CopyStatus.PENDING,onClick:oo,condition:so=>so.category===ChatMessageCategory.Chatbot||so.category===ChatMessageCategory.User||so.category===ChatMessageCategory.Error}),[eo,ro,oo])}makeStyles({copyButton:{cursor:"pointer"}});const defaultUploadPopoverLocStrings={Add:"Add",AddAnImage:"Add an image",PasteImageOrLinkHere:"Paste image or link here",UploadFromThisDevice:"Upload from this device"},ImageView=eo=>{const{src:to,alt:ro,loading:no=!1,width:oo,height:io,styles:so}=eo;return to?no?jsxRuntimeExports.jsx("div",{children:"Loading..."}):jsxRuntimeExports.jsx("div",{className:so==null?void 0:so.root,children:jsxRuntimeExports.jsx("img",{className:so==null?void 0:so.image,src:to,alt:ro,width:oo,height:io})}):jsxRuntimeExports.jsx("div",{children:"This image can not be previewed."})},ImageViewModal=eo=>{const{src:to,alt:ro,visible:no,loading:oo=!1,width:io,height:so,onDismiss:ao}=eo,lo=useStyles$f(),uo=jsxRuntimeExports.jsxs("div",{className:lo.container,children:[jsxRuntimeExports.jsxs("div",{className:lo.header,children:[jsxRuntimeExports.jsx("h2",{className:lo.heading,children:"Preview"}),jsxRuntimeExports.jsx(Button$2,{as:"button",appearance:"transparent",icon:jsxRuntimeExports.jsx(Dismiss24Regular,{}),className:lo.dismissBtn,onClick:ao})]}),jsxRuntimeExports.jsx("div",{className:lo.main,children:jsxRuntimeExports.jsx(ImageView,{src:to,alt:ro,loading:oo,width:io,height:so,styles:{image:lo.image}})})]});return jsxRuntimeExports.jsx(Modal,{isOpen:no,isBlocking:!1,onDismiss:ao,children:uo})},useStyles$f=makeStyles({container:{display:"flex",flexDirection:"column",flexWrap:"nowrap",...shorthands.padding("16px")},header:{...shorthands.flex(0,0,"auto"),display:"flex",flexDirection:"row",flexWrap:"nowrap",justifyContent:"space-between",marginBottom:"20px"},heading:{...shorthands.margin(0),fontWeight:FontWeights.semibold,fontSize:"inherit"},dismissBtn:{"&&":{fontSize:"16px",lineHeight:"16px",height:"16px",width:"16px",color:tokens.colorNeutralStroke1}},main:{...shorthands.overflow("auto"),display:"flex",justifyContent:"center",alignItems:"center"},image:{width:"auto",height:"auto",maxWidth:"60vw",maxHeight:"60vh"}}),IMAGE_WIDTH="48px",MASK_SELECTOR_CLASS_NAME="__MASK_SELECTOR_CLASS_NAME__",UploadPopoverImagePreview=eo=>{const{image:to,alt:ro,isReadonly:no,onClickDelete:oo}=eo,[io,so]=React.useState(!1),ao=useStyles$e(),lo=React.useMemo(()=>{if(to)return typeof to=="string"?to:URL.createObjectURL(to)},[to]),uo=React.useCallback(()=>{so(fo=>!fo)},[]),co=lo||"";return jsxRuntimeExports.jsxs("div",{className:mergeClasses(ao.root,no?ao.readonlyRoot:void 0),children:[jsxRuntimeExports.jsxs("div",{className:ao.imageContainer,children:[jsxRuntimeExports.jsx("img",{decoding:"async",className:ao.image,src:co,alt:ro}),jsxRuntimeExports.jsx("div",{"aria-hidden":!0,className:mergeClasses(ao.mask,MASK_SELECTOR_CLASS_NAME),onClick:uo,role:"button",children:jsxRuntimeExports.jsx(ZoomIn20Regular,{})})]}),!no&&jsxRuntimeExports.jsx(Button$2,{as:"button",className:ao.closeButton,icon:jsxRuntimeExports.jsx(Dismiss20Regular,{}),onClick:oo}),jsxRuntimeExports.jsx(ImageViewModal,{src:co,alt:ro||"",visible:io,onDismiss:uo})]})},useStyles$e=makeStyles({root:{boxSizing:"border-box",display:"flex",height:"32px",width:"80px",...shorthands.border("1px","solid",tokens.colorNeutralStroke2),...shorthands.borderRadius("4px")},readonlyRoot:{width:"48px"},imageContainer:{position:"relative",display:"flex",alignItems:"center",justifyContent:"center",width:IMAGE_WIDTH,[`:hover .${MASK_SELECTOR_CLASS_NAME}`]:{visibility:"visible"}},image:{maxWidth:"100%",maxHeight:"100%",width:"auto",height:"auto"},mask:{visibility:"hidden",cursor:"pointer",position:"absolute",top:0,left:0,width:`calc(${IMAGE_WIDTH} - 2px)`,height:"100%",backgroundColor:"rgba(0, 0, 0, 0.5)",display:"flex",alignItems:"center",justifyContent:"center",color:tokens.colorNeutralForegroundStaticInverted,...shorthands.borderRadius("4px",0,0,"4px")},closeButton:{width:"32px",...shorthands.border(0)}}),UploadPopoverTrigger=React.forwardRef((eo,to)=>jsxRuntimeExports.jsx(Button$2,{...eo,ref:to,as:"button",appearance:"transparent",size:"medium",icon:jsxRuntimeExports.jsx(Attach16Regular,{})}));UploadPopoverTrigger.displayName="UploadPopoverTrigger";const mergeStyleSlots=(eo,...to)=>{const ro={...eo};for(const no of Object.keys(eo))ro[no]=mergeClasses(eo[no],...to.map(oo=>oo==null?void 0:oo[no]));return ro},UploadPopover=React.forwardRef(({isUploading:eo,disabled:to,trigger:ro=jsxRuntimeExports.jsx(UploadPopoverTrigger,{}),locStrings:no=defaultUploadPopoverLocStrings,styles:oo,events:io,onUpload:so,onRenderImagePreview:ao},lo)=>{const uo=mergeStyleSlots(useStyles$d(),oo),{onDelete:co,onInputBlur:fo,onPaste:ho,onLocalUpload:po}=io??{};React.useImperativeHandle(lo,()=>({open(){vo(!0)},close(){vo(!1)},reset:()=>{wo()},retrieve:()=>_o}));const[go,vo]=React.useState(!1),[bo,xo]=React.useState(""),[_o,Eo]=React.useState(void 0),So=React.useRef(null),To=React.useCallback((Mo,Do)=>{vo(Do.open||!1)},[]),wo=React.useCallback(()=>{xo(""),Eo(void 0),So.current&&(So.current.value="")},[]),Co=React.useCallback(Mo=>{const Do=Mo[0];Eo(Do),ho==null||ho(Do)},[ho]),Oo=React.useCallback(Mo=>{Mo.clipboardData.files&&Co&&Co(Mo.clipboardData.files)},[Co]),Ao=React.useCallback(()=>{fo==null||fo(bo),Eo(bo)},[bo,fo]),Ro=React.useCallback(()=>{_o&&so(_o)},[_o,so]),No=React.useMemo(()=>ao?ao({cachedImage:_o,customerInputContent:bo,isReadonly:to||eo||!1}):jsxRuntimeExports.jsx(UploadPopoverImagePreview,{image:_o||bo,alt:bo||"",isReadonly:eo,onClickDelete:()=>{wo(),co==null||co()}}),[bo,_o,wo,to,eo,co,ao]);return jsxRuntimeExports.jsxs(Popover,{positioning:"above-end",open:go,onOpenChange:To,children:[jsxRuntimeExports.jsx(PopoverTrigger,{disableButtonEnhancement:!0,children:ro}),jsxRuntimeExports.jsxs(PopoverSurface,{className:uo.attachUploadPopover,children:[jsxRuntimeExports.jsxs("div",{className:uo.attachUploadHeader,children:[jsxRuntimeExports.jsx("span",{children:no.AddAnImage}),jsxRuntimeExports.jsx(Button$2,{as:"button",disabled:to,appearance:"transparent",icon:jsxRuntimeExports.jsx(Dismiss24Regular,{}),onClick:()=>{vo(!1)}})]}),jsxRuntimeExports.jsxs("div",{className:uo.attachUploadInputWrapper,children:[_o?No:jsxRuntimeExports.jsx(Input,{className:uo.attachUploadInput,value:bo,disabled:to,placeholder:no.PasteImageOrLinkHere,onChange:(Mo,Do)=>{Eo(void 0),xo(Do.value)},onPaste:Oo,onBlur:Ao}),jsxRuntimeExports.jsx(Button$2,{as:"button",disabled:to||eo||!_o&&!bo,className:uo.addButton,onClick:Ro,children:eo?jsxRuntimeExports.jsx(Spinner,{size:"tiny"}):no.Add})]}),jsxRuntimeExports.jsx("input",{tabIndex:-1,"aria-hidden":!0,ref:So,disabled:to,className:uo.invisibleFileInput,onChange:Mo=>{var jo;const Do=(jo=Mo.target.files)==null?void 0:jo[0];Do&&(po==null||po(Do)),Eo(Do)},type:"file",accept:"image/*"}),jsxRuntimeExports.jsx("div",{className:uo.triggerUploadButton,children:jsxRuntimeExports.jsx(Button$2,{as:"button",disabled:to,appearance:"transparent",icon:jsxRuntimeExports.jsx(ArrowUpload24Regular,{}),onClick:()=>{var Mo;(Mo=So.current)==null||Mo.click()},children:no.UploadFromThisDevice})})]})]})});UploadPopover.displayName="UploadPopover";const useStyles$d=makeStyles({attachUploadPopover:{width:"400px",backgroundColor:tokens.colorNeutralBackground1,...shorthands.padding("12px")},attachUploadHeader:{display:"flex",justifyContent:"space-between",alignItems:"center",fontWeight:500,fontSize:"16px",lineHeight:"22px"},attachUploadInputWrapper:{marginTop:"8px",display:"flex",columnGap:"8px",justifyContent:"space-between"},attachUploadInput:{flexGrow:1},addButton:{minWidth:"52px"},invisibleFileInput:{display:"none"},triggerUploadButton:{marginTop:"8px",display:"flex",justifyContent:"space-between"}});function DefaultMessageContentRenderer(eo){const{content:to,className:ro}=eo,no=useStyles$c(),oo=mergeClasses(no.content,ro);if(typeof to=="string")return jsxRuntimeExports.jsx("p",{className:oo,children:to});const io=JSON.stringify(to,null,2);return jsxRuntimeExports.jsx("pre",{className:oo,children:io})}DefaultMessageContentRenderer.displayName="DefaultMessageContentRenderer";const useStyles$c=makeStyles({content:{...shorthands.overflow("auto"),wordBreak:"break-all",whiteSpace:"break-spaces"}});function DefaultMessageErrorRenderer(eo){const{error:to,locStrings:ro,className:no}=eo,[oo,io]=React.useState(!1),so=useStyles$b(),ao=mergeClasses(so.errorMessageDetail,!oo&&so.errorMessageDetailHidden,no);return jsxRuntimeExports.jsxs(React.Fragment,{children:[jsxRuntimeExports.jsx("p",{children:jsxRuntimeExports.jsx(Link$1,{onClick:()=>io(lo=>!lo),children:oo?ro.MessageError_HideDetail:ro.MessageError_ShowDetail})}),jsxRuntimeExports.jsx("p",{className:ao,children:to})]})}DefaultMessageErrorRenderer.displayName="DefaultMessageErrorRenderer";const useStyles$b=makeStyles({errorMessageDetail:{...shorthands.margin("0","0","0","0"),wordBreak:"break-word",whiteSpace:"break-spaces"},errorMessageDetailHidden:{display:"none"}}),useToolbarDefaultActions=()=>React.useMemo(()=>[],[]);function DefaultMessageActionBarRenderer(eo){const{useMessageActions:to=useToolbarDefaultActions,data:ro,className:no}=eo,oo=to(ro),io=useStyles$a(),so=React.useMemo(()=>{const uo=oo.filter(fo=>!fo.condition||fo.condition(ro)).sort((fo,ho)=>fo.group-ho.group),co=[];for(let fo=0,ho;fo<uo.length;fo=ho){const po=uo[fo],go=[po];for(co.push(go),ho=fo+1;ho<uo.length;++ho){const vo=uo[ho];if(vo.group!==po.group)break;go.push(vo)}}return co},[ro,oo]);if(!(so.length>0))return jsxRuntimeExports.jsx(jsxRuntimeExports.Fragment,{});const lo=[];for(let uo=0;uo<so.length;uo++){const co=so[uo];for(const fo of co){const{key:ho,disabled:po,icon:go,tooltip:vo=jsxRuntimeExports.jsx(jsxRuntimeExports.Fragment,{}),onClick:bo}=fo;lo.push(jsxRuntimeExports.jsx(Tooltip,{content:vo,relationship:"label",children:jsxRuntimeExports.jsx(Button$2,{appearance:"transparent",size:"medium",icon:go,disabled:po,className:io.action,onClick:()=>bo(ro)},ho)},ho))}uo+1<so.length&&lo.push(jsxRuntimeExports.jsx("div",{className:io.groupSeparator},`group-separator-${uo}`))}return jsxRuntimeExports.jsx("div",{className:mergeClasses(io.actions,no),children:lo})}DefaultMessageActionBarRenderer.displayName="DefaultMessageActionBarRenderer";const useStyles$a=makeStyles({actions:{...shorthands.border("1px","solid",tokens.colorNeutralStroke1),...shorthands.borderRadius("6px"),display:"flex",flexDirection:"row",alignItems:"center",height:"32px",backgroundColor:tokens.colorNeutralBackground1},action:{cursor:"pointer",width:"32px"},groupSeparator:{boxSizing:"border-box",width:"1px",backgroundColor:tokens.colorNeutralStroke1,height:"calc(100% - 8px)"}});function DefaultMessagePaginationRenderer(eo){const{message:to,current:ro,className:no,setCurrent:oo}=eo,io=to.history.length,so=()=>{ro>0&&oo(ro-1)},ao=()=>{ro<io&&oo(ro+1)},lo=ro===0,uo=ro===io-1;return jsxRuntimeExports.jsxs("div",{className:no,children:[jsxRuntimeExports.jsx(Button$2,{icon:jsxRuntimeExports.jsx(ChevronLeft16Regular,{}),title:"Prev",appearance:"transparent",disabled:lo,onClick:so}),ro+1," / ",io,jsxRuntimeExports.jsx(Button$2,{icon:jsxRuntimeExports.jsx(ChevronRight16Regular,{}),title:"Next",appearance:"transparent",disabled:uo,onClick:ao})]})}DefaultMessagePaginationRenderer.displayName="DefaultMessagePaginationRenderer";var dayjs_min={exports:{}};(function(eo,to){(function(ro,no){eo.exports=no()})(commonjsGlobal,function(){var ro=1e3,no=6e4,oo=36e5,io="millisecond",so="second",ao="minute",lo="hour",uo="day",co="week",fo="month",ho="quarter",po="year",go="date",vo="Invalid Date",bo=/^(\d{4})[-/]?(\d{1,2})?[-/]?(\d{0,2})[Tt\s]*(\d{1,2})?:?(\d{1,2})?:?(\d{1,2})?[.:]?(\d+)?$/,xo=/\[([^\]]+)]|Y{1,4}|M{1,4}|D{1,2}|d{1,4}|H{1,2}|h{1,2}|a|A|m{1,2}|s{1,2}|Z{1,2}|SSS/g,_o={name:"en",weekdays:"Sunday_Monday_Tuesday_Wednesday_Thursday_Friday_Saturday".split("_"),months:"January_February_March_April_May_June_July_August_September_October_November_December".split("_"),ordinal:function(jo){var Fo=["th","st","nd","rd"],$o=jo%100;return"["+jo+(Fo[($o-20)%10]||Fo[$o]||Fo[0])+"]"}},Eo=function(jo,Fo,$o){var Lo=String(jo);return!Lo||Lo.length>=Fo?jo:""+Array(Fo+1-Lo.length).join($o)+jo},So={s:Eo,z:function(jo){var Fo=-jo.utcOffset(),$o=Math.abs(Fo),Lo=Math.floor($o/60),Ho=$o%60;return(Fo<=0?"+":"-")+Eo(Lo,2,"0")+":"+Eo(Ho,2,"0")},m:function jo(Fo,$o){if(Fo.date()<$o.date())return-jo($o,Fo);var Lo=12*($o.year()-Fo.year())+($o.month()-Fo.month()),Ho=Fo.clone().add(Lo,fo),qo=$o-Ho<0,Uo=Fo.clone().add(Lo+(qo?-1:1),fo);return+(-(Lo+($o-Ho)/(qo?Ho-Uo:Uo-Ho))||0)},a:function(jo){return jo<0?Math.ceil(jo)||0:Math.floor(jo)},p:function(jo){return{M:fo,y:po,w:co,d:uo,D:go,h:lo,m:ao,s:so,ms:io,Q:ho}[jo]||String(jo||"").toLowerCase().replace(/s$/,"")},u:function(jo){return jo===void 0}},To="en",wo={};wo[To]=_o;var Co="$isDayjsObject",Oo=function(jo){return jo instanceof Mo||!(!jo||!jo[Co])},Ao=function jo(Fo,$o,Lo){var Ho;if(!Fo)return To;if(typeof Fo=="string"){var 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Ro.prototype=Do,[["$ms",io],["$s",so],["$m",ao],["$H",lo],["$W",uo],["$M",fo],["$y",po],["$D",go]].forEach(function(jo){Do[jo[1]]=function(Fo){return this.$g(Fo,jo[0],jo[1])}}),Ro.extend=function(jo,Fo){return jo.$i||(jo(Fo,Mo,Ro),jo.$i=!0),Ro},Ro.locale=Ao,Ro.isDayjs=Oo,Ro.unix=function(jo){return Ro(1e3*jo)},Ro.en=wo[To],Ro.Ls=wo,Ro.p={},Ro})})(dayjs_min);var dayjs_minExports=dayjs_min.exports;const dayjs=getDefaultExportFromCjs(dayjs_minExports);function DefaultMessageSenderRenderer(eo){const{data:to,position:ro,className:no}=eo,oo=useStyles$9(),io=to.timestamp?dayjs(to.timestamp).format("h:mm A"):null;return to.category===ChatMessageCategory.System?jsxRuntimeExports.jsx(jsxRuntimeExports.Fragment,{}):jsxRuntimeExports.jsxs("div",{className:mergeClasses(oo.container,no),"data-position":ro,children:[jsxRuntimeExports.jsx("span",{className:oo.name,"data-position":ro,children:to.from}),io&&jsxRuntimeExports.jsx("span",{className:oo.time,children:io})]})}DefaultMessageSenderRenderer.displayName="DefaultMessageSenderRenderer";const useStyles$9=makeStyles({container:{display:"flex",flexWrap:"nowrap",alignItems:"center",justifyContent:"flex-start",fontSize:"0.75rem",'&&[data-position="right"]':{justifyContent:"flex-end"},color:tokens.colorNeutralForeground3},name:{...shorthands.margin("0px","6px","0px","0px"),'&&[data-position="right"]':{...shorthands.margin("0px"),display:"none"}},time:{}}),DefaultMessageStatusRenderer=eo=>{const{duration:to,tokens:ro,locStrings:no,className:oo}=eo,io=to.toFixed(2).replace(/\.?0*$/,"");return jsxRuntimeExports.jsxs("div",{className:oo,children:[ro>0&&jsxRuntimeExports.jsxs(React.Fragment,{children:[`${no.MessageStatus_TokensDesc}: `,jsxRuntimeExports.jsx("b",{children:ro}),` ${no.MessageStatus_TokensUint}, `]}),`${ro>0?no.MessageStatus_TimeSpentDesc:no.MessageStatus_TimeSpentDscCapitalized}: `,jsxRuntimeExports.jsx("b",{children:io}),` ${no.MessageStatus_TimeSpent_Unit}`]})};DefaultMessageStatusRenderer.displayName="DefaultMessageStatusRenderer";const EMPTY_CONTEXTUAL_MENU_ITEMS$1=[],defaultUseContextualMenuItems$1=eo=>EMPTY_CONTEXTUAL_MENU_ITEMS$1;function DefaultMessageBubbleRenderer(eo){const{MessageAvatarRenderer:to,MessageContentRenderer:ro=DefaultMessageContentRenderer,MessageErrorRenderer:no=DefaultMessageErrorRenderer,MessageSenderRenderer:oo=DefaultMessageSenderRenderer,MessagePaginationRenderer:io=DefaultMessagePaginationRenderer,MessageActionBarRenderer:so=DefaultMessageActionBarRenderer,MessageStatusRenderer:ao=DefaultMessageStatusRenderer,useMessageContextualMenuItems:lo=defaultUseContextualMenuItems$1,useMessageActions:uo,initialPage:co=-1,locStrings:fo,message:ho,className:po}=eo,go=useStyles$8(),[vo,bo]=React.useState((co%ho.history.length+ho.history.length)%ho.history.length),[xo,_o]=React.useState(!1),Eo=React.useRef(null),So=React.useRef(null),To=React.useCallback(()=>{_o(!1)},[]),wo=React.useCallback(No=>{const Mo=Eo.current,Do=So.current;if(Mo&&Do){const 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document.addEventListener("mousedown",No),()=>document.removeEventListener("mousedown",No)},[]),jsxRuntimeExports.jsx("div",{className:go.container,"data-chatbox-locator":ChatboxLocator.MessageBubble,"data-position":Ao,children:jsxRuntimeExports.jsxs("div",{className:mergeClasses(go.message,po),"data-position":Ao,children:[jsxRuntimeExports.jsx("div",{className:go.avatar,children:to&&jsxRuntimeExports.jsx(to,{data:Oo,position:Ao})}),jsxRuntimeExports.jsxs("div",{className:go.main,children:[jsxRuntimeExports.jsx("div",{className:go.sender,children:jsxRuntimeExports.jsx(oo,{data:Oo,position:Ao})}),jsxRuntimeExports.jsxs("div",{ref:Eo,className:go.content,"data-category":Oo.category,"data-chatbox-locator":ChatboxLocator.MessageContent,onContextMenu:Co,onClick:wo,children:[jsxRuntimeExports.jsx(ro,{content:Oo.content,className:go.contentMain}),Oo.error&&jsxRuntimeExports.jsx(no,{error:Oo.error,locStrings:fo,className:go.error}),typeof Oo.duration=="number"&&typeof Oo.tokens=="number"&&jsxRuntimeExports.jsx(ao,{duration:Oo.duration,tokens:Oo.tokens,locStrings:fo,className:go.status}),ho.history.length>1&&jsxRuntimeExports.jsx(io,{className:go.pagination,message:ho,current:vo,setCurrent:bo}),jsxRuntimeExports.jsx("div",{ref:So,className:go.contentMenuAnchor}),Ro.length>0&&jsxRuntimeExports.jsx(ContextualMenu,{items:Ro,hidden:!xo,target:So,onItemClick:To,onDismiss:To,className:go.contextualMenu}),jsxRuntimeExports.jsx("div",{className:go.actionBar,"data-chatbox-locator":ChatboxLocator.MessageActionBar,children:jsxRuntimeExports.jsx(so,{data:Oo,locStrings:fo,useMessageActions:uo})})]})]})]})})}DefaultMessageBubbleRenderer.displayName="DefaultMessageBubbleRenderer";const useStyles$8=makeStyles({container:{...shorthands.margin("16px","0"),display:"flex",justifyContent:"flex-start",'&&[data-position="right"]':{justifyContent:"flex-end"},width:"100%"},message:{display:"flex",flexDirection:"row",'&&[data-position="right"]':{flexDirection:"row-reverse"},maxWidth:"calc(100% - 80px)"},avatar:{...shorthands.flex(0,0,"auto")},main:{...shorthands.flex(1,1,"auto"),display:"flex",flexDirection:"column",width:"100%"},sender:{...shorthands.flex(0,0,"auto")},content:{...shorthands.flex(1,1,"auto"),...shorthands.borderRadius("4px"),position:"relative",boxSizing:"border-box",minWidth:"48px",wordBreak:"break-word",lineHeight:"22px","> p":{...shorthands.margin(0)},[`&:hover > 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useStyles$7=makeStyles({sessionSplit:{display:"flex",justifyContent:"center",height:"24px",color:tokens.colorNeutralForeground4}});makeStyles({hintTyping:{...shorthands.overflow("hidden"),width:"1px",height:"1px"},typingDots:{...shorthands.transition("opacity","0.1s"),display:"flex",alignItems:"center",height:"22.5px"},typingDot:{...shorthands.borderRadius("50%"),...shorthands.margin("0","0","0","6px"),display:"inline-block",width:"6px",height:"6px",backgroundColor:tokens.colorNeutralStroke1,animationDuration:"1.5s",animationTimingFunction:"linear",animationIterationCount:"infinite",animationName:{"0%":{transform:"scale(1)"},"16.67%":{transform:"scale(0)"},"33.33%":{transform:"scale(0)"},"50%":{transform:"scale(0)"},"66.67%":{transform:"scale(1)"},"83.33%":{transform:"scale(1)"},"100%":{transform:"scale(1)"}},"&:nth-child(1)":{...shorthands.margin("0px")},"&:nth-child(2)":{animationDelay:"0.18s"},"&:nth-child(3)":{animationDelay:"0.36s"}}});makeStyles({toolbar:{display:"flex",justifyContent:"flex-end"}});makeStyles({input:{...shorthands.border("1px","solid",tokens.colorNeutralBackground5),...shorthands.borderRadius("4px"),boxSizing:"border-box",display:"grid",gridTemplateRows:"1fr 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Ur(eo,to,ro)}function $r(eo,to){let ro=to.__key,no=eo.offset,oo="element";if(Br(to)){oo="text";const io=to.getTextContentSize();no>io&&(no=io)}else if(!qi(to)){const io=to.getNextSibling();if(Br(io))ro=io.__key,no=0,oo="text";else{const so=to.getParent();so&&(ro=so.__key,no=to.getIndexWithinParent()+1)}}eo.set(ro,no,oo)}function Hr(eo,to){if(qi(to)){const ro=to.getLastDescendant();qi(ro)||Br(ro)?$r(eo,ro):$r(eo,to)}else $r(eo,to)}function jr(eo,to,ro,no){const oo=eo.getNode(),io=oo.getChildAtIndex(eo.offset),so=zr(),ao=Yi(oo)?rs().append(so):so;so.setFormat(ro),so.setStyle(no),io===null?oo.append(ao):io.insertBefore(ao),eo.is(to)&&to.set(so.__key,0,"text"),eo.set(so.__key,0,"text")}function qr(eo,to,ro,no){eo.key=to,eo.offset=ro,eo.type=no}class Qr{constructor(to){this._cachedNodes=null,this._nodes=to,this.dirty=!1}getCachedNodes(){return this._cachedNodes}setCachedNodes(to){this._cachedNodes=to}is(to){if(!Zr(to))return!1;const ro=this._nodes,no=to._nodes;return ro.size===no.size&&Array.from(ro).every(oo=>no.has(oo))}isCollapsed(){return!1}isBackward(){return!1}getStartEndPoints(){return null}add(to){this.dirty=!0,this._nodes.add(to),this._cachedNodes=null}delete(to){this.dirty=!0,this._nodes.delete(to),this._cachedNodes=null}clear(){this.dirty=!0,this._nodes.clear(),this._cachedNodes=null}has(to){return this._nodes.has(to)}clone(){return new Qr(new Set(this._nodes))}extract(){return this.getNodes()}insertRawText(to){}insertText(){}insertNodes(to){const ro=this.getNodes(),no=ro.length,oo=ro[no-1];let io;if(Br(oo))io=oo.select();else{const so=oo.getIndexWithinParent()+1;io=oo.getParentOrThrow().select(so,so)}io.insertNodes(to);for(let so=0;so<no;so++)ro[so].remove()}getNodes(){const to=this._cachedNodes;if(to!==null)return to;const ro=this._nodes,no=[];for(const oo of ro){const io=ct$1(oo);io!==null&&no.push(io)}return Ei()||(this._cachedNodes=no),no}getTextContent(){const to=this.getNodes();let ro="";for(let no=0;no<to.length;no++)ro+=to[no].getTextContent();return ro}}function Xr(eo){return eo instanceof Yr}class Yr{constructor(to,ro,no,oo){this.anchor=to,this.focus=ro,to._selection=this,ro._selection=this,this._cachedNodes=null,this.format=no,this.style=oo,this.dirty=!1}getCachedNodes(){return this._cachedNodes}setCachedNodes(to){this._cachedNodes=to}is(to){return!!Xr(to)&&this.anchor.is(to.anchor)&&this.focus.is(to.focus)&&this.format===to.format&&this.style===to.style}isCollapsed(){return this.anchor.is(this.focus)}getNodes(){const to=this._cachedNodes;if(to!==null)return to;const ro=this.anchor,no=this.focus,oo=ro.isBefore(no),io=oo?ro:no,so=oo?no:ro;let ao=io.getNode(),lo=so.getNode();const uo=io.offset,co=so.offset;if(qi(ao)){const ho=ao.getDescendantByIndex(uo);ao=ho??ao}if(qi(lo)){let ho=lo.getDescendantByIndex(co);ho!==null&&ho!==ao&&lo.getChildAtIndex(co)===ho&&(ho=ho.getPreviousSibling()),lo=ho??lo}let fo;return fo=ao.is(lo)?qi(ao)&&ao.getChildrenSize()>0?[]:[ao]:ao.getNodesBetween(lo),Ei()||(this._cachedNodes=fo),fo}setTextNodeRange(to,ro,no,oo){qr(this.anchor,to.__key,ro,"text"),qr(this.focus,no.__key,oo,"text"),this._cachedNodes=null,this.dirty=!0}getTextContent(){const to=this.getNodes();if(to.length===0)return"";const ro=to[0],no=to[to.length-1],oo=this.anchor,io=this.focus,so=oo.isBefore(io),[ao,lo]=ei(this);let uo="",co=!0;for(let fo=0;fo<to.length;fo++){const ho=to[fo];if(qi(ho)&&!ho.isInline())co||(uo+=`
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+`?no.push(xr()):so==="	"?no.push(Kr()):no.push(zr(so))}this.insertNodes(no)}insertText(to){const ro=this.anchor,no=this.focus,oo=this.isCollapsed()||ro.isBefore(no),io=this.format,so=this.style;oo&&ro.type==="element"?jr(ro,no,io,so):oo||no.type!=="element"||jr(no,ro,io,so);const ao=this.getNodes(),lo=ao.length,uo=oo?no:ro,co=(oo?ro:no).offset,fo=uo.offset;let ho=ao[0];Br(ho)||H$1(26);const po=ho.getTextContent().length,go=ho.getParentOrThrow();let vo=ao[lo-1];if(this.isCollapsed()&&co===po&&(ho.isSegmented()||ho.isToken()||!ho.canInsertTextAfter()||!go.canInsertTextAfter()&&ho.getNextSibling()===null)){let bo=ho.getNextSibling();if(Br(bo)&&bo.canInsertTextBefore()&&!Ze(bo)||(bo=zr(),bo.setFormat(io),go.canInsertTextAfter()?ho.insertAfter(bo):go.insertAfter(bo)),bo.select(0,0),ho=bo,to!=="")return void this.insertText(to)}else if(this.isCollapsed()&&co===0&&(ho.isSegmented()||ho.isToken()||!ho.canInsertTextBefore()||!go.canInsertTextBefore()&&ho.getPreviousSibling()===null)){let bo=ho.getPreviousSibling();if(Br(bo)&&!Ze(bo)||(bo=zr(),bo.setFormat(io),go.canInsertTextBefore()?ho.insertBefore(bo):go.insertBefore(bo)),bo.select(),ho=bo,to!=="")return void this.insertText(to)}else if(ho.isSegmented()&&co!==po){const bo=zr(ho.getTextContent());bo.setFormat(io),ho.replace(bo),ho=bo}else if(!this.isCollapsed()&&to!==""){const bo=vo.getParent();if(!go.canInsertTextBefore()||!go.canInsertTextAfter()||qi(bo)&&(!bo.canInsertTextBefore()||!bo.canInsertTextAfter()))return this.insertText(""),ii(this.anchor,this.focus,null),void this.insertText(to)}if(lo===1){if(ho.isToken()){const Eo=zr(to);return Eo.select(),void ho.replace(Eo)}const bo=ho.getFormat(),xo=ho.getStyle();if(co!==fo||bo===io&&xo===so){if(Jr(ho)){const Eo=zr(to);return Eo.setFormat(io),Eo.setStyle(so),Eo.select(),void ho.replace(Eo)}}else{if(ho.getTextContent()!==""){const Eo=zr(to);if(Eo.setFormat(io),Eo.setStyle(so),Eo.select(),co===0)ho.insertBefore(Eo,!1);else{const[So]=ho.splitText(co);So.insertAfter(Eo,!1)}return void(Eo.isComposing()&&this.anchor.type==="text"&&(this.anchor.offset-=to.length))}ho.setFormat(io),ho.setStyle(so)}const _o=fo-co;ho=ho.spliceText(co,_o,to,!0),ho.getTextContent()===""?ho.remove():this.anchor.type==="text"&&(ho.isComposing()?this.anchor.offset-=to.length:(this.format=bo,this.style=xo))}else{const bo=new Set([...ho.getParentKeys(),...vo.getParentKeys()]),xo=qi(ho)?ho:ho.getParentOrThrow();let _o=qi(vo)?vo:vo.getParentOrThrow(),Eo=vo;if(!xo.is(_o)&&_o.isInline())do Eo=_o,_o=_o.getParentOrThrow();while(_o.isInline());if(uo.type==="text"&&(fo!==0||vo.getTextContent()==="")||uo.type==="element"&&vo.getIndexWithinParent()<fo)if(Br(vo)&&!vo.isToken()&&fo!==vo.getTextContentSize()){if(vo.isSegmented()){const Oo=zr(vo.getTextContent());vo.replace(Oo),vo=Oo}Yi(uo.getNode())||uo.type!=="text"||(vo=vo.spliceText(0,fo,"")),bo.add(vo.__key)}else{const Oo=vo.getParentOrThrow();Oo.canBeEmpty()||Oo.getChildrenSize()!==1?vo.remove():Oo.remove()}else bo.add(vo.__key);const So=_o.getChildren(),To=new Set(ao),wo=xo.is(_o),Co=xo.isInline()&&ho.getNextSibling()===null?xo:ho;for(let Oo=So.length-1;Oo>=0;Oo--){const Ao=So[Oo];if(Ao.is(ho)||qi(Ao)&&Ao.isParentOf(ho))break;Ao.isAttached()&&(!To.has(Ao)||Ao.is(Eo)?wo||Co.insertAfter(Ao,!1):Ao.remove())}if(!wo){let Oo=_o,Ao=null;for(;Oo!==null;){const Ro=Oo.getChildren(),No=Ro.length;(No===0||Ro[No-1].is(Ao))&&(bo.delete(Oo.__key),Ao=Oo),Oo=Oo.getParent()}}if(ho.isToken())if(co===po)ho.select();else{const Oo=zr(to);Oo.select(),ho.replace(Oo)}else ho=ho.spliceText(co,po-co,to,!0),ho.getTextContent()===""?ho.remove():ho.isComposing()&&this.anchor.type==="text"&&(this.anchor.offset-=to.length);for(let Oo=1;Oo<lo;Oo++){const Ao=ao[Oo],Ro=Ao.__key;bo.has(Ro)||Ao.remove()}}}removeText(){this.insertText("")}formatText(to){if(this.isCollapsed())return this.toggleFormat(to),void ot(null);const ro=this.getNodes(),no=[];for(const _o of ro)Br(_o)&&no.push(_o);const oo=no.length;if(oo===0)return this.toggleFormat(to),void ot(null);const io=this.anchor,so=this.focus,ao=this.isBackward(),lo=ao?so:io,uo=ao?io:so;let co=0,fo=no[0],ho=lo.type==="element"?0:lo.offset;if(lo.type==="text"&&ho===fo.getTextContentSize()&&(co=1,fo=no[1],ho=0),fo==null)return;const po=fo.getFormatFlags(to,null),go=oo-1;let vo=no[go];const bo=uo.type==="text"?uo.offset:vo.getTextContentSize();if(fo.is(vo)){if(ho===bo)return;if(ho===0&&bo===fo.getTextContentSize())fo.setFormat(po);else{const _o=fo.splitText(ho,bo),Eo=ho===0?_o[0]:_o[1];Eo.setFormat(po),lo.type==="text"&&lo.set(Eo.__key,0,"text"),uo.type==="text"&&uo.set(Eo.__key,bo-ho,"text")}return void(this.format=po)}ho!==0&&([,fo]=fo.splitText(ho),ho=0),fo.setFormat(po);const xo=vo.getFormatFlags(to,po);bo>0&&(bo!==vo.getTextContentSize()&&([vo]=vo.splitText(bo)),vo.setFormat(xo));for(let _o=co+1;_o<go;_o++){const Eo=no[_o];if(!Eo.isToken()){const So=Eo.getFormatFlags(to,xo);Eo.setFormat(So)}}lo.type==="text"&&lo.set(fo.__key,ho,"text"),uo.type==="text"&&uo.set(vo.__key,bo,"text"),this.format=po|xo}insertNodes(to){if(to.length===0)return;if(this.anchor.key==="root"){this.insertParagraph();const go=fi();return Xr(go)||H$1(134),go.insertNodes(to)}const ro=cn((this.isBackward()?this.focus:this.anchor).getNode(),ln),no=to[to.length-1];if("__language"in ro&&qi(ro)){if("__language"in to[0])this.insertText(to[0].getTextContent());else{const go=vi(this);ro.splice(go,0,to),no.selectEnd()}return}if(!to.some(go=>(qi(go)||Hi(go))&&!go.isInline())){qi(ro)||H$1(135);const go=vi(this);return ro.splice(go,0,to),void no.selectEnd()}const oo=function(go){const vo=rs();let bo=null;for(let xo=0;xo<go.length;xo++){const _o=go[xo],Eo=vr(_o);if(Eo||Hi(_o)&&_o.isInline()||qi(_o)&&_o.isInline()||Br(_o)||_o.isParentRequired()){if(bo===null&&(bo=_o.createParentElementNode(),vo.append(bo),Eo))continue;bo!==null&&bo.append(_o)}else vo.append(_o),bo=null}return vo}(to),io=oo.getLastDescendant(),so=oo.getChildren(),ao=go=>"__value"in go&&"__checked"in go,lo=!qi(ro)||!ro.isEmpty()?this.insertParagraph():null,uo=so[so.length-1];let co=so[0];var fo;qi(fo=co)&&ln(fo)&&!fo.isEmpty()&&qi(ro)&&(!ro.isEmpty()||ao(ro))&&(qi(ro)||H$1(135),ro.append(...co.getChildren()),co=so[1]),co&&function(go,vo,bo){const xo=bo||vo.getParentOrThrow().getLastChild();let _o=vo;const Eo=[vo];for(;_o!==xo;)_o.getNextSibling()||H$1(140),_o=_o.getNextSibling(),Eo.push(_o);let So=go;for(const To of Eo)So=So.insertAfter(To)}(ro,co);const ho=cn(io,ln);lo&&qi(ho)&&(ao(lo)||ln(uo))&&(ho.append(...lo.getChildren()),lo.remove()),qi(ro)&&ro.isEmpty()&&ro.remove(),io.selectEnd();const po=qi(ro)?ro.getLastChild():null;vr(po)&&ho!==ro&&po.remove()}insertParagraph(){if(this.anchor.key==="root"){const so=rs();return ht$1().splice(this.anchor.offset,0,[so]),so.select(),so}const to=vi(this),ro=cn(this.anchor.getNode(),ln);qi(ro)||H$1(136);const no=ro.getChildAtIndex(to),oo=no?[no,...no.getNextSiblings()]:[],io=ro.insertNewAfter(this,!1);return io?(io.append(...oo),io.selectStart(),io):null}insertLineBreak(to){const ro=xr();if(this.insertNodes([ro]),to){const no=ro.getParentOrThrow(),oo=ro.getIndexWithinParent();no.select(oo,oo)}}extract(){const to=this.getNodes(),ro=to.length,no=ro-1,oo=this.anchor,io=this.focus;let so=to[0],ao=to[no];const[lo,uo]=ei(this);if(ro===0)return[];if(ro===1){if(Br(so)&&!this.isCollapsed()){const fo=lo>uo?uo:lo,ho=lo>uo?lo:uo,po=so.splitText(fo,ho),go=fo===0?po[0]:po[1];return go!=null?[go]:[]}return[so]}const co=oo.isBefore(io);if(Br(so)){const fo=co?lo:uo;fo===so.getTextContentSize()?to.shift():fo!==0&&([,so]=so.splitText(fo),to[0]=so)}if(Br(ao)){const fo=ao.getTextContent().length,ho=co?uo:lo;ho===0?to.pop():ho!==fo&&([ao]=ao.splitText(ho),to[no]=ao)}return to}modify(to,ro,no){const oo=this.focus,io=this.anchor,so=to==="move",ao=Wt(oo,ro);if(Hi(ao)&&!ao.isIsolated()){if(so&&ao.isKeyboardSelectable()){const po=ui();return po.add(ao.__key),void _t(po)}const ho=ro?ao.getPreviousSibling():ao.getNextSibling();if(Br(ho)){const po=ho.__key,go=ro?ho.getTextContent().length:0;return oo.set(po,go,"text"),void(so&&io.set(po,go,"text"))}{const po=ao.getParentOrThrow();let go,vo;return qi(ho)?(vo=ho.__key,go=ro?ho.getChildrenSize():0):(go=ao.getIndexWithinParent(),vo=po.__key,ro||go++),oo.set(vo,go,"element"),void(so&&io.set(vo,go,"element"))}}const lo=Oi(),uo=nn(lo._window);if(!uo)return;const co=lo._blockCursorElement,fo=lo._rootElement;if(fo===null||co===null||!qi(ao)||ao.isInline()||ao.canBeEmpty()||en(co,lo,fo),function(ho,po,go,vo){ho.modify(po,go,vo)}(uo,to,ro?"backward":"forward",no),uo.rangeCount>0){const ho=uo.getRangeAt(0),po=this.anchor.getNode(),go=Yi(po)?po:qt(po);if(this.applyDOMRange(ho),this.dirty=!0,!so){const vo=this.getNodes(),bo=[];let xo=!1;for(let _o=0;_o<vo.length;_o++){const Eo=vo[_o];$t(Eo,go)?bo.push(Eo):xo=!0}if(xo&&bo.length>0)if(ro){const _o=bo[0];qi(_o)?_o.selectStart():_o.getParentOrThrow().selectStart()}else{const _o=bo[bo.length-1];qi(_o)?_o.selectEnd():_o.getParentOrThrow().selectEnd()}uo.anchorNode===ho.startContainer&&uo.anchorOffset===ho.startOffset||function(_o){const Eo=_o.focus,So=_o.anchor,To=So.key,wo=So.offset,Co=So.type;qr(So,Eo.key,Eo.offset,Eo.type),qr(Eo,To,wo,Co),_o._cachedNodes=null}(this)}}}forwardDeletion(to,ro,no){if(!no&&(to.type==="element"&&qi(ro)&&to.offset===ro.getChildrenSize()||to.type==="text"&&to.offset===ro.getTextContentSize())){const oo=ro.getParent(),io=ro.getNextSibling()||(oo===null?null:oo.getNextSibling());if(qi(io)&&io.isShadowRoot())return!0}return!1}deleteCharacter(to){const ro=this.isCollapsed();if(this.isCollapsed()){const no=this.anchor;let oo=no.getNode();if(this.forwardDeletion(no,oo,to))return;const io=this.focus,so=Wt(io,to);if(Hi(so)&&!so.isIsolated()){if(so.isKeyboardSelectable()&&qi(oo)&&oo.getChildrenSize()===0){oo.remove();const ao=ui();ao.add(so.__key),_t(ao)}else so.remove(),Oi().dispatchCommand(t$4,void 0);return}if(!to&&qi(so)&&qi(oo)&&oo.isEmpty())return oo.remove(),void so.selectStart();if(this.modify("extend",to,"character"),this.isCollapsed()){if(to&&no.offset===0&&(no.type==="element"?no.getNode():no.getNode().getParentOrThrow()).collapseAtStart(this))return}else{const ao=io.type==="text"?io.getNode():null;if(oo=no.type==="text"?no.getNode():null,ao!==null&&ao.isSegmented()){const lo=io.offset,uo=ao.getTextContentSize();if(ao.is(oo)||to&&lo!==uo||!to&&lo!==0)return void ti(ao,to,lo)}else if(oo!==null&&oo.isSegmented()){const lo=no.offset,uo=oo.getTextContentSize();if(oo.is(ao)||to&&lo!==0||!to&&lo!==uo)return void ti(oo,to,lo)}(function(lo,uo){const co=lo.anchor,fo=lo.focus,ho=co.getNode(),po=fo.getNode();if(ho===po&&co.type==="text"&&fo.type==="text"){const go=co.offset,vo=fo.offset,bo=go<vo,xo=bo?go:vo,_o=bo?vo:go,Eo=_o-1;xo!==Eo&&(mt$1(ho.getTextContent().slice(xo,_o))||(uo?fo.offset=Eo:co.offset=Eo))}})(this,to)}}if(this.removeText(),to&&!ro&&this.isCollapsed()&&this.anchor.type==="element"&&this.anchor.offset===0){const 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ho=0;ho<jn.length;ho++){const[po,go]=jn[ho],vo=typeof go=="function"?bo=>{hr(bo)||(dr(bo),(lo.isEditable()||po==="click")&&go(bo,lo))}:bo=>{if(!hr(bo)&&(dr(bo),lo.isEditable()))switch(po){case"cut":return Bt(lo,W,bo);case"copy":return Bt(lo,M$3,bo);case"paste":return Bt(lo,c$5,bo);case"dragstart":return Bt(lo,A$3,bo);case"dragover":return Bt(lo,L$2,bo);case"dragend":return Bt(lo,F$1,bo);case"focus":return Bt(lo,U,bo);case"blur":return Bt(lo,V,bo);case"drop":return Bt(lo,I$1,bo)}};ao.addEventListener(po,vo),fo.push(()=>{ao.removeEventListener(po,vo)})}}(to,this),no!=null&&to.classList.add(...no)}else this._editorState=oo,this._pendingEditorState=null,this._window=null;Ri("root",this,!1,to,ro)}}getElementByKey(to){return this._keyToDOMMap.get(to)||null}getEditorState(){return this._editorState}setEditorState(to,ro){to.isEmpty()&&H$1(38),Re(this);const no=this._pendingEditorState,oo=this._updateTags,io=ro!==void 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uo=eo.registerCommand(COPY_COMMAND,co=>(objectKlassEquals(co,ClipboardEvent)&&(uo(),A!==null&&(window.clearTimeout(A),A=null),ao(P(eo,co))),!0),COMMAND_PRIORITY_CRITICAL);A=window.setTimeout(()=>{uo(),A=null,ao(!1)},50),no.execCommand("copy"),io.remove()})}function P(eo,to){const ro=y(eo._window);if(!ro)return!1;const no=ro.anchorNode,oo=ro.focusNode;if(no!==null&&oo!==null&&!isSelectionWithinEditor(eo,no,oo))return!1;to.preventDefault();const io=to.clipboardData,so=$getSelection();if(io===null||so===null)return!1;const ao=v(eo),lo=D(eo);let uo="";return so!==null&&(uo=so.getTextContent()),ao!==null&&io.setData("text/html",ao),lo!==null&&io.setData("application/x-lexical-editor",lo),io.setData("text/plain",uo),!0}const modProd$3=Object.freeze(Object.defineProperty({__proto__:null,$generateJSONFromSelectedNodes:T,$generateNodesFromSerializedNodes:_,$getHtmlContent:v,$getLexicalContent:D,$insertDataTransferForPlainText:C$1,$insertDataTransferForRichText:E$1,$insertGeneratedNodes:N,copyToClipboard:R},Symbol.toStringTag,{value:"Module"})),mod$3=modProd$3,$insertDataTransferForRichText=mod$3.$insertDataTransferForRichText,copyToClipboard=mod$3.copyToClipboard;function st(eo,to){if(document.caretRangeFromPoint!==void 0){const ro=document.caretRangeFromPoint(eo,to);return ro===null?null:{node:ro.startContainer,offset:ro.startOffset}}if(document.caretPositionFromPoint!=="undefined"){const ro=document.caretPositionFromPoint(eo,to);return ro===null?null:{node:ro.offsetNode,offset:ro.offset}}return null}const at=typeof window<"u"&&window.document!==void 0&&window.document.createElement!==void 0,ct=at&&"documentMode"in document?document.documentMode:null,ut=!(!at||!("InputEvent"in window)||ct)&&"getTargetRanges"in new window.InputEvent("input"),lt=at&&/Version\/[\d.]+.*Safari/.test(navigator.userAgent),dt=at&&/iPad|iPhone|iPod/.test(navigator.userAgent)&&!window.MSStream,mt=at&&/^(?=.*Chrome).*/i.test(navigator.userAgent),ft=at&&/AppleWebKit\/[\d.]+/.test(navigator.userAgent)&&!mt,gt=createCommand("DRAG_DROP_PASTE_FILE");class pt extends ElementNode{static getType(){return"quote"}static clone(to){return new pt(to.__key)}constructor(to){super(to)}createDOM(to){const ro=document.createElement("blockquote");return addClassNamesToElement(ro,to.theme.quote),ro}updateDOM(to,ro){return!1}static importDOM(){return{blockquote:to=>({conversion:xt,priority:0})}}exportDOM(to){const{element:ro}=super.exportDOM(to);if(ro&&isHTMLElement$1(ro)){this.isEmpty()&&ro.append(document.createElement("br"));const no=this.getFormatType();ro.style.textAlign=no;const oo=this.getDirection();oo&&(ro.dir=oo)}return{element:ro}}static importJSON(to){const ro=ht();return ro.setFormat(to.format),ro.setIndent(to.indent),ro.setDirection(to.direction),ro}exportJSON(){return{...super.exportJSON(),type:"quote"}}insertNewAfter(to,ro){const no=$createParagraphNode(),oo=this.getDirection();return no.setDirection(oo),this.insertAfter(no,ro),no}collapseAtStart(){const to=$createParagraphNode();return this.getChildren().forEach(ro=>to.append(ro)),this.replace(to),!0}}function ht(){return $applyNodeReplacement(new pt)}function vt(eo){return eo instanceof pt}class Ct extends ElementNode{static getType(){return"heading"}static clone(to){return new Ct(to.__tag,to.__key)}constructor(to,ro){super(ro),this.__tag=to}getTag(){return this.__tag}createDOM(to){const ro=this.__tag,no=document.createElement(ro),oo=to.theme.heading;if(oo!==void 0){const io=oo[ro];addClassNamesToElement(no,io)}return no}updateDOM(to,ro){return!1}static importDOM(){return{h1:to=>({conversion:Dt,priority:0}),h2:to=>({conversion:Dt,priority:0}),h3:to=>({conversion:Dt,priority:0}),h4:to=>({conversion:Dt,priority:0}),h5:to=>({conversion:Dt,priority:0}),h6:to=>({conversion:Dt,priority:0}),p:to=>{const ro=to.firstChild;return ro!==null&&yt(ro)?{conversion:()=>({node:null}),priority:3}:null},span:to=>yt(to)?{conversion:ro=>({node:wt("h1")}),priority:3}:null}}exportDOM(to){const{element:ro}=super.exportDOM(to);if(ro&&isHTMLElement$1(ro)){this.isEmpty()&&ro.append(document.createElement("br"));const no=this.getFormatType();ro.style.textAlign=no;const oo=this.getDirection();oo&&(ro.dir=oo)}return{element:ro}}static importJSON(to){const ro=wt(to.tag);return ro.setFormat(to.format),ro.setIndent(to.indent),ro.setDirection(to.direction),ro}exportJSON(){return{...super.exportJSON(),tag:this.getTag(),type:"heading",version:1}}insertNewAfter(to,ro=!0){const no=to?to.anchor.offset:0,oo=no!==this.getTextContentSize()&&to?wt(this.getTag()):$createParagraphNode(),io=this.getDirection();if(oo.setDirection(io),this.insertAfter(oo,ro),no===0&&!this.isEmpty()&&to){const so=$createParagraphNode();so.select(),this.replace(so,!0)}return oo}collapseAtStart(){const to=this.isEmpty()?$createParagraphNode():wt(this.getTag());return this.getChildren().forEach(ro=>to.append(ro)),this.replace(to),!0}extractWithChild(){return!0}}function yt(eo){return eo.nodeName.toLowerCase()==="span"&&eo.style.fontSize==="26pt"}function Dt(eo){const to=eo.nodeName.toLowerCase();let ro=null;return to!=="h1"&&to!=="h2"&&to!=="h3"&&to!=="h4"&&to!=="h5"&&to!=="h6"||(ro=wt(to),eo.style!==null&&ro.setFormat(eo.style.textAlign)),{node:ro}}function xt(eo){const to=ht();return eo.style!==null&&to.setFormat(eo.style.textAlign),{node:to}}function wt(eo){return $applyNodeReplacement(new Ct(eo))}function Et(eo){return eo instanceof Ct}function Nt(eo){let to=null;if(objectKlassEquals(eo,DragEvent)?to=eo.dataTransfer:objectKlassEquals(eo,ClipboardEvent)&&(to=eo.clipboardData),to===null)return[!1,[],!1];const ro=to.types,no=ro.includes("Files"),oo=ro.includes("text/html")||ro.includes("text/plain");return[no,Array.from(to.files),oo]}function At(eo){const to=$getSelection();if(!$isRangeSelection(to))return!1;const ro=new Set,no=to.getNodes();for(let oo=0;oo<no.length;oo++){const io=no[oo],so=io.getKey();if(ro.has(so))continue;const ao=$getNearestBlockElementAncestorOrThrow(io),lo=ao.getKey();ao.canIndent()&&!ro.has(lo)&&(ro.add(lo),eo(ao))}return ro.size>0}function Pt(eo){const to=$getNearestNodeFromDOMNode(eo);return $isDecoratorNode(to)}function Ot(eo){return mergeRegister(eo.registerCommand(CLICK_COMMAND,to=>{const ro=$getSelection();return!!$isNodeSelection(ro)&&(ro.clear(),!0)},0),eo.registerCommand(DELETE_CHARACTER_COMMAND,to=>{const ro=$getSelection();return!!$isRangeSelection(ro)&&(ro.deleteCharacter(to),!0)},COMMAND_PRIORITY_EDITOR),eo.registerCommand(DELETE_WORD_COMMAND,to=>{const ro=$getSelection();return!!$isRangeSelection(ro)&&(ro.deleteWord(to),!0)},COMMAND_PRIORITY_EDITOR),eo.registerCommand(DELETE_LINE_COMMAND,to=>{const ro=$getSelection();return!!$isRangeSelection(ro)&&(ro.deleteLine(to),!0)},COMMAND_PRIORITY_EDITOR),eo.registerCommand(CONTROLLED_TEXT_INSERTION_COMMAND,to=>{const ro=$getSelection();if(typeof to=="string")ro!==null&&ro.insertText(to);else{if(ro===null)return!1;const no=to.dataTransfer;if(no!=null)$insertDataTransferForRichText(no,ro,eo);else if($isRangeSelection(ro)){const oo=to.data;return oo&&ro.insertText(oo),!0}}return!0},COMMAND_PRIORITY_EDITOR),eo.registerCommand(REMOVE_TEXT_COMMAND,()=>{const to=$getSelection();return!!$isRangeSelection(to)&&(to.removeText(),!0)},COMMAND_PRIORITY_EDITOR),eo.registerCommand(FORMAT_TEXT_COMMAND,to=>{const ro=$getSelection();return!!$isRangeSelection(ro)&&(ro.formatText(to),!0)},COMMAND_PRIORITY_EDITOR),eo.registerCommand(FORMAT_ELEMENT_COMMAND,to=>{const ro=$getSelection();if(!$isRangeSelection(ro)&&!$isNodeSelection(ro))return!1;const no=ro.getNodes();for(const oo of no){const io=$findMatchingParent(oo,so=>$isElementNode(so)&&!so.isInline());io!==null&&io.setFormat(to)}return!0},COMMAND_PRIORITY_EDITOR),eo.registerCommand(INSERT_LINE_BREAK_COMMAND,to=>{const ro=$getSelection();return!!$isRangeSelection(ro)&&(ro.insertLineBreak(to),!0)},COMMAND_PRIORITY_EDITOR),eo.registerCommand(INSERT_PARAGRAPH_COMMAND,()=>{const to=$getSelection();return!!$isRangeSelection(to)&&(to.insertParagraph(),!0)},COMMAND_PRIORITY_EDITOR),eo.registerCommand(INSERT_TAB_COMMAND,()=>($insertNodes([$createTabNode()]),!0),COMMAND_PRIORITY_EDITOR),eo.registerCommand(INDENT_CONTENT_COMMAND,()=>At(to=>{const ro=to.getIndent();to.setIndent(ro+1)}),COMMAND_PRIORITY_EDITOR),eo.registerCommand(OUTDENT_CONTENT_COMMAND,()=>At(to=>{const ro=to.getIndent();ro>0&&to.setIndent(ro-1)}),COMMAND_PRIORITY_EDITOR),eo.registerCommand(KEY_ARROW_UP_COMMAND,to=>{const ro=$getSelection();if($isNodeSelection(ro)&&!Pt(to.target)){const no=ro.getNodes();if(no.length>0)return no[0].selectPrevious(),!0}else if($isRangeSelection(ro)){const no=$getAdjacentNode(ro.focus,!0);if(!to.shiftKey&&$isDecoratorNode(no)&&!no.isIsolated()&&!no.isInline())return no.selectPrevious(),to.preventDefault(),!0}return!1},COMMAND_PRIORITY_EDITOR),eo.registerCommand(KEY_ARROW_DOWN_COMMAND,to=>{const ro=$getSelection();if($isNodeSelection(ro)){const no=ro.getNodes();if(no.length>0)return no[0].selectNext(0,0),!0}else if($isRangeSelection(ro)){if(function(oo){const io=oo.focus;return io.key==="root"&&io.offset===$getRoot().getChildrenSize()}(ro))return to.preventDefault(),!0;const no=$getAdjacentNode(ro.focus,!1);if(!to.shiftKey&&$isDecoratorNode(no)&&!no.isIsolated()&&!no.isInline())return no.selectNext(),to.preventDefault(),!0}return!1},COMMAND_PRIORITY_EDITOR),eo.registerCommand(KEY_ARROW_LEFT_COMMAND,to=>{const ro=$getSelection();if($isNodeSelection(ro)){const no=ro.getNodes();if(no.length>0)return to.preventDefault(),no[0].selectPrevious(),!0}if(!$isRangeSelection(ro))return!1;if($shouldOverrideDefaultCharacterSelection(ro,!0)){const no=to.shiftKey;return to.preventDefault(),$moveCharacter(ro,no,!0),!0}return!1},COMMAND_PRIORITY_EDITOR),eo.registerCommand(KEY_ARROW_RIGHT_COMMAND,to=>{const ro=$getSelection();if($isNodeSelection(ro)&&!Pt(to.target)){const oo=ro.getNodes();if(oo.length>0)return to.preventDefault(),oo[0].selectNext(0,0),!0}if(!$isRangeSelection(ro))return!1;const no=to.shiftKey;return!!$shouldOverrideDefaultCharacterSelection(ro,!1)&&(to.preventDefault(),$moveCharacter(ro,no,!1),!0)},COMMAND_PRIORITY_EDITOR),eo.registerCommand(KEY_BACKSPACE_COMMAND,to=>{if(Pt(to.target))return!1;const ro=$getSelection();if(!$isRangeSelection(ro))return!1;to.preventDefault();const{anchor:no}=ro,oo=no.getNode();return ro.isCollapsed()&&no.offset===0&&!$isRootNode(oo)&&$getNearestBlockElementAncestorOrThrow(oo).getIndent()>0?eo.dispatchCommand(OUTDENT_CONTENT_COMMAND,void 0):eo.dispatchCommand(DELETE_CHARACTER_COMMAND,!0)},COMMAND_PRIORITY_EDITOR),eo.registerCommand(KEY_DELETE_COMMAND,to=>{if(Pt(to.target))return!1;const ro=$getSelection();return!!$isRangeSelection(ro)&&(to.preventDefault(),eo.dispatchCommand(DELETE_CHARACTER_COMMAND,!1))},COMMAND_PRIORITY_EDITOR),eo.registerCommand(KEY_ENTER_COMMAND,to=>{const ro=$getSelection();if(!$isRangeSelection(ro))return!1;if(to!==null){if((dt||lt||ft)&&ut)return!1;if(to.preventDefault(),to.shiftKey)return eo.dispatchCommand(INSERT_LINE_BREAK_COMMAND,!1)}return eo.dispatchCommand(INSERT_PARAGRAPH_COMMAND,void 0)},COMMAND_PRIORITY_EDITOR),eo.registerCommand(KEY_ESCAPE_COMMAND,()=>{const to=$getSelection();return!!$isRangeSelection(to)&&(eo.blur(),!0)},COMMAND_PRIORITY_EDITOR),eo.registerCommand(DROP_COMMAND,to=>{const[,ro]=Nt(to);if(ro.length>0){const oo=st(to.clientX,to.clientY);if(oo!==null){const{offset:io,node:so}=oo,ao=$getNearestNodeFromDOMNode(so);if(ao!==null){const lo=$createRangeSelection();if($isTextNode(ao))lo.anchor.set(ao.getKey(),io,"text"),lo.focus.set(ao.getKey(),io,"text");else{const co=ao.getParentOrThrow().getKey(),fo=ao.getIndexWithinParent()+1;lo.anchor.set(co,fo,"element"),lo.focus.set(co,fo,"element")}const uo=$normalizeSelection__EXPERIMENTAL(lo);$setSelection(uo)}eo.dispatchCommand(gt,ro)}return to.preventDefault(),!0}const no=$getSelection();return!!$isRangeSelection(no)},COMMAND_PRIORITY_EDITOR),eo.registerCommand(DRAGSTART_COMMAND,to=>{const[ro]=Nt(to),no=$getSelection();return!(ro&&!$isRangeSelection(no))},COMMAND_PRIORITY_EDITOR),eo.registerCommand(DRAGOVER_COMMAND,to=>{const[ro]=Nt(to),no=$getSelection();if(ro&&!$isRangeSelection(no))return!1;const oo=st(to.clientX,to.clientY);if(oo!==null){const io=$getNearestNodeFromDOMNode(oo.node);$isDecoratorNode(io)&&to.preventDefault()}return!0},COMMAND_PRIORITY_EDITOR),eo.registerCommand(SELECT_ALL_COMMAND,()=>($selectAll(),!0),COMMAND_PRIORITY_EDITOR),eo.registerCommand(COPY_COMMAND,to=>(copyToClipboard(eo,objectKlassEquals(to,ClipboardEvent)?to:null),!0),COMMAND_PRIORITY_EDITOR),eo.registerCommand(CUT_COMMAND,to=>(async function(ro,no){await copyToClipboard(no,objectKlassEquals(ro,ClipboardEvent)?ro:null),no.update(()=>{const oo=$getSelection();$isRangeSelection(oo)?oo.removeText():$isNodeSelection(oo)&&oo.getNodes().forEach(io=>io.remove())})}(to,eo),!0),COMMAND_PRIORITY_EDITOR),eo.registerCommand(PASTE_COMMAND,to=>{const[,ro,no]=Nt(to);return ro.length>0&&!no?(eo.dispatchCommand(gt,ro),!0):isSelectionCapturedInDecoratorInput(to.target)?!1:$getSelection()!==null&&(function(oo,io){oo.preventDefault(),io.update(()=>{const so=$getSelection(),ao=objectKlassEquals(oo,InputEvent)||objectKlassEquals(oo,KeyboardEvent)?null:oo.clipboardData;ao!=null&&so!==null&&$insertDataTransferForRichText(ao,so,io)},{tag:"paste"})}(to,eo),!0)},COMMAND_PRIORITY_EDITOR))}const modProd$2=Object.freeze(Object.defineProperty({__proto__:null,$createHeadingNode:wt,$createQuoteNode:ht,$isHeadingNode:Et,$isQuoteNode:vt,DRAG_DROP_PASTE:gt,HeadingNode:Ct,QuoteNode:pt,eventFiles:Nt,registerRichText:Ot},Symbol.toStringTag,{value:"Module"})),mod$2=modProd$2,DRAG_DROP_PASTE=mod$2.DRAG_DROP_PASTE,eventFiles=mod$2.eventFiles,registerRichText=mod$2.registerRichText;var p=typeof window<"u"&&window.document!==void 0&&window.document.createElement!==void 0?reactExports.useLayoutEffect:reactExports.useEffect;function E(eo){return eo.getEditorState().read($canShowPlaceholderCurry(eo.isComposing()))}function x({contentEditable:eo,placeholder:to,ErrorBoundary:ro}){const[no]=useLexicalComposerContext(),oo=function(io,so){const[ao,lo]=reactExports.useState(()=>io.getDecorators());return p(()=>io.registerDecoratorListener(uo=>{reactDomExports.flushSync(()=>{lo(uo)})}),[io]),reactExports.useEffect(()=>{lo(io.getDecorators())},[io]),reactExports.useMemo(()=>{const uo=[],co=Object.keys(ao);for(let fo=0;fo<co.length;fo++){const ho=co[fo],po=reactExports.createElement(so,{onError:vo=>io._onError(vo)},reactExports.createElement(reactExports.Suspense,{fallback:null},ao[ho])),go=io.getElementByKey(ho);go!==null&&uo.push(reactDomExports.createPortal(po,go,ho))}return uo},[so,ao,io])}(no,ro);return function(io){p(()=>mergeRegister(registerRichText(io),registerDragonSupport(io)),[io])}(no),reactExports.createElement(reactExports.Fragment,null,eo,reactExports.createElement(g,{content:to}),oo)}function g({content:eo}){const[to]=useLexicalComposerContext(),ro=function(oo){const[io,so]=reactExports.useState(()=>E(oo));return p(()=>{function ao(){const lo=E(oo);so(lo)}return ao(),mergeRegister(oo.registerUpdateListener(()=>{ao()}),oo.registerEditableListener(()=>{ao()}))},[oo]),io}(to),no=t$1();return ro?typeof eo=="function"?eo(no):eo:null}const modProd$1=Object.freeze(Object.defineProperty({__proto__:null,RichTextPlugin:x},Symbol.toStringTag,{value:"Module"})),mod$1=modProd$1,RichTextPlugin=mod$1.RichTextPlugin;var RichEditorContentType=(eo=>(eo.IMAGE="image",eo.TEXT="text",eo))(RichEditorContentType||{});const FAKE_PROTOCOL="fake:",CAN_USE_DOM=typeof window<"u"&&typeof window.document<"u"&&typeof window.document.createElement<"u";function d(eo,to){return eo.getEditorState().read(()=>{const ro=$getNodeByKey(to);return ro!==null&&ro.isSelected()})}function u(eo){const[to]=useLexicalComposerContext(),[ro,no]=reactExports.useState(()=>d(to,eo));return reactExports.useEffect(()=>{let oo=!0;const io=to.registerUpdateListener(()=>{oo&&no(d(to,eo))});return()=>{oo=!1,io()}},[to,eo]),[ro,reactExports.useCallback(oo=>{to.update(()=>{let io=$getSelection();$isNodeSelection(io)||(io=$createNodeSelection(),$setSelection(io)),$isNodeSelection(io)&&(oo?io.add(eo):io.delete(eo))})},[to,eo]),reactExports.useCallback(()=>{to.update(()=>{const oo=$getSelection();$isNodeSelection(oo)&&oo.clear()})},[to])]}const modProd=Object.freeze(Object.defineProperty({__proto__:null,useLexicalNodeSelection:u},Symbol.toStringTag,{value:"Module"})),mod=modProd,useLexicalNodeSelection=mod.useLexicalNodeSelection;function useEventCallback(eo){const to=reactExports.useRef(eo);return reactExports.useLayoutEffect(()=>{to.current=eo}),reactExports.useCallback((...ro)=>{const no=to.current;return no(...ro)},[])}const INSERT_IMAGE_COMMAND=createCommand("INSERT_IMAGE_COMMAND"),INSERT_MULTIPLE_NODES_COMMAND=createCommand("INSERT_MULTIPLE_NODES_COMMAND"),RIGHT_CLICK_IMAGE_COMMAND=createCommand("RIGHT_CLICK_IMAGE_COMMAND");class RichEditorViewModel extends ViewModel{constructor(to){super(),this.editor$=new State(void 0),this.maxHeight$=new State(void 0),this.resolveUrlByPath$=new State(void 0),this.resolveUrlByFile$=new State(void 0),this._resetEditorState=to.resetEditorState,this._replaceImageSrc=to.replaceImageSrc,this._extractEditorData=to.extractEditorData}get requiredEditor(){const to=this.editor$.getSnapshot();if(!to)throw new Error("[RichEditor] editor is not prepared.");return to}focus(){this.requiredEditor.focus()}getContent(){const ro=this.requiredEditor.getEditorState();return this._extractEditorData(ro)}insert(to){this.requiredEditor.dispatchCommand(INSERT_MULTIPLE_NODES_COMMAND,{nodes:to})}isEmpty(){return this.requiredEditor.getEditorState().read(()=>{const oo=$getRoot(),io=oo.getFirstChild();return io?oo.getChildrenSize()===1&&io instanceof ElementNode?io.isEmpty():!1:!0})}replaceImageSrc(to,ro){const no=this.editor$.getSnapshot();if(!no)throw new Error("[RichEditor] editor is not prepared.");this._replaceImageSrc(no,to,ro)}reset(to){const ro=this.requiredEditor;this._resetEditorState(to)(ro)}async resolveUrlByFile(to){const ro=this.resolveUrlByFile$.getSnapshot();return ro?ro(to):""}async resolveUrlByPath(to){if(to.startsWith(FAKE_PROTOCOL))return to;const ro=this.resolveUrlByPath$.getSnapshot();return(ro==null?void 0:ro(to))??to}}const RichEditorContextType=reactExports.createContext({viewmodel:new RichEditorViewModel({extractEditorData:()=>[],resetEditorState:()=>()=>{},replaceImageSrc:()=>{}})}),useRichEditorContext=()=>{const eo=reactExports.useContext(RichEditorContextType),to=reactExports.useContext(LexicalComposerContext),ro=(to==null?void 0:to[0])??void 0;return ro&&eo.viewmodel.editor$.next(ro),eo},useAutoResize=()=>{const[eo]=useLexicalComposerContext(),{viewmodel:to}=useRichEditorContext(),ro=useStateValue(to.maxHeight$);return useEventCallback(()=>{if(ro===void 0)return;const oo=eo==null?void 0:eo.getRootElement();if(oo){oo.style.height="24px";const io=Math.min(ro,oo.scrollHeight);oo.style.height=`${io}px`}})},imageCache=new Set;function useSuspenseImage(eo){imageCache.has(eo)||new Promise(to=>{const ro=new Image;ro.src=eo,ro.onload=()=>{imageCache.add(eo),to(null)}})}function LazyImage({alt:eo,className:to,imageRef:ro,src:no,width:oo,height:io,maxWidth:so,onLoad:ao}){return useSuspenseImage(no),jsxRuntimeExports.jsx("img",{className:to||void 0,src:no,alt:eo,ref:ro,style:{height:io,maxWidth:so,width:oo,border:"1px solid #E5E5E5"},draggable:!1,onLoad:ao})}const ImageComponent=eo=>{const{viewmodel:to}=useRichEditorContext(),ro=useAutoResize(),{src:no,alt:oo,nodeKey:io,width:so,height:ao,maxWidth:lo,isImageNode:uo}=eo,[co,fo]=reactExports.useState(no),ho=reactExports.useRef(null),po=reactExports.useRef(null),[go,vo,bo]=useLexicalNodeSelection(io),[xo]=useLexicalComposerContext(),[_o,Eo]=reactExports.useState(null),So=reactExports.useRef(null),To=reactExports.useCallback(Fo=>{if(go&&$isNodeSelection($getSelection())){Fo.preventDefault();const Lo=$getNodeByKey(io);uo(Lo)&&Lo.remove()}return!1},[go,io,uo]),wo=reactExports.useCallback(Fo=>{const $o=$getSelection(),Lo=po.current;return go&&$isNodeSelection($o)&&$o.getNodes().length===1&&Lo!==null&&Lo!==document.activeElement?(Fo.preventDefault(),Lo.focus(),!0):!1},[go]),Co=reactExports.useCallback(Fo=>Fo.target===ho.current?(Fo.preventDefault(),!0):!1,[]),Oo=reactExports.useCallback(Fo=>po.current===Fo.target?($setSelection(null),xo.update(()=>{vo(!0);const $o=xo.getRootElement();$o!==null&&$o.focus()}),!0):!1,[xo,vo]),Ao=reactExports.useCallback(Fo=>{const $o=Fo;return $o.target===ho.current?($o.shiftKey?vo(!go):(bo(),vo(!0)),!0):!1},[go,vo,bo]),Ro=reactExports.useCallback(Fo=>{xo.getEditorState().read(()=>{const $o=$getSelection();Fo.target.tagName==="IMG"&&$isRangeSelection($o)&&$o.getNodes().length===1&&xo.dispatchCommand(RIGHT_CLICK_IMAGE_COMMAND,Fo)})},[xo]);reactExports.useEffect(()=>{let Fo=!1;return to.resolveUrlByPath(no).then($o=>{Fo||fo($o)}),()=>{Fo=!0}},[to,no]),reactExports.useEffect(()=>{let Fo=!0;const $o=xo.getRootElement(),Lo=mergeRegister(xo.registerUpdateListener(({editorState:Ho})=>{Fo&&Eo(Ho.read($getSelection))}),xo.registerCommand(SELECTION_CHANGE_COMMAND,(Ho,qo)=>(So.current=qo,!1),COMMAND_PRIORITY_LOW),xo.registerCommand(CLICK_COMMAND,Ao,COMMAND_PRIORITY_LOW),xo.registerCommand(RIGHT_CLICK_IMAGE_COMMAND,Ao,COMMAND_PRIORITY_LOW),xo.registerCommand(DRAGSTART_COMMAND,Co,COMMAND_PRIORITY_LOW),xo.registerCommand(KEY_DELETE_COMMAND,To,COMMAND_PRIORITY_LOW),xo.registerCommand(KEY_BACKSPACE_COMMAND,To,COMMAND_PRIORITY_LOW),xo.registerCommand(KEY_ENTER_COMMAND,wo,COMMAND_PRIORITY_LOW),xo.registerCommand(KEY_ESCAPE_COMMAND,Oo,COMMAND_PRIORITY_LOW));return $o==null||$o.addEventListener("contextmenu",Ro),()=>{Fo=!1,Lo(),$o==null||$o.removeEventListener("contextmenu",Ro)}},[xo,go,io,bo,To,Co,wo,Oo,Ao,Ro,vo]);const No=go&&$isNodeSelection(_o),Do=go?`focused ${$isNodeSelection(_o)?"draggable":""}`:void 0,jo=(co.startsWith(FAKE_PROTOCOL)?co.slice(FAKE_PROTOCOL.length):co).replace(/#[\s\S]*$/,"");return jsxRuntimeExports.jsx(reactExports.Suspense,{fallback:null,children:jsxRuntimeExports.jsx("div",{draggable:No,children:jsxRuntimeExports.jsx(LazyImage,{className:Do,src:jo,alt:oo,imageRef:ho,width:so,height:ao,maxWidth:lo,onLoad:ro})})})};class ImageNode extends DecoratorNode{constructor(to,ro,no,oo,io,so){super(so),this.src=to,this.alt=ro,this.maxWidth=no,this.width=oo||"inherit",this.height=io||"inherit"}static getType(){return RichEditorContentType.IMAGE}static clone(to){return new ImageNode(to.src,to.alt,to.maxWidth,to.width,to.height,to.__key)}static importDOM(){return{img:to=>({conversion:convertImageElement,priority:0})}}static importJSON(to){const{alt:ro,height:no,width:oo,maxWidth:io,src:so}=to;return $createImageNode({alt:ro,height:no,maxWidth:io,src:so,width:oo})}exportDOM(){const to=document.createElement("img");return to.setAttribute("src",this.src),to.setAttribute("alt",this.alt),to.setAttribute("width",this.width.toString()),to.setAttribute("height",this.height.toString()),{element:to}}exportJSON(){return{alt:this.getAltText(),height:this.height==="inherit"?0:this.height,maxWidth:this.maxWidth,src:this.getSrc(),type:RichEditorContentType.IMAGE,version:1,width:this.width==="inherit"?0:this.width}}setWidthAndHeight(to,ro){const no=this.getWritable();no.width=to,no.height=ro}createDOM(to){const ro=document.createElement("span"),oo=to.theme.image;return oo!==void 0&&(ro.className=oo),ro}updateDOM(){return!1}getSrc(){return this.src}getAltText(){return this.alt}decorate(){return jsxRuntimeExports.jsx(reactExports.Suspense,{fallback:null,children:jsxRuntimeExports.jsx(ImageComponent,{src:this.src,alt:this.alt,width:this.width,height:this.height,maxWidth:this.maxWidth,nodeKey:this.getKey(),isImageNode:$isImageNode})})}}function $createImageNode({alt:eo,height:to,maxWidth:ro=240,src:no,width:oo,key:io}){return $applyNodeReplacement(new ImageNode(no,eo,ro,oo,to,io))}function $isImageNode(eo){return eo instanceof ImageNode}function convertImageElement(eo){if(eo instanceof HTMLImageElement){const{alt:to,src:ro,width:no,height:oo}=eo;return ro.startsWith("blob:")?null:{node:$createImageNode({alt:to,height:oo,src:ro,width:no})}}return null}const CommandPlugin=()=>{const[eo]=useLexicalComposerContext();return React.useLayoutEffect(()=>mergeRegister(eo.registerCommand(INSERT_MULTIPLE_NODES_COMMAND,to=>{const{nodes:ro}=to;if(ro.length===1&&ro[0].type===RichEditorContentType.TEXT){const io=ro[0];return eo.update(()=>{const so=$getSelection();so&&so.insertRawText(io.value)}),!0}let no;const oo=[];for(const io of ro)switch(io.type){case RichEditorContentType.TEXT:{const so=$createTextNode(io.value),ao=$createParagraphNode();no=so,ao.append(so),oo.push(ao);break}case RichEditorContentType.IMAGE:{const so=$createImageNode(io),ao=$createParagraphNode();no=so,ao.append(so),oo.push(ao);break}}return oo.length<=0||($insertNodes(oo),no&&$isRootOrShadowRoot(no.getParentOrThrow())&&no.selectEnd()),!0},COMMAND_PRIORITY_EDITOR)),[eo]),jsxRuntimeExports.jsx(React.Fragment,{})};CommandPlugin.displayName="CommandPlugin";const ACCEPTABLE_IMAGE_TYPES=["image/","image/heic","image/heif","image/gif","image/webp"],DragDropPastePlugin=()=>{const[eo]=useLexicalComposerContext(),{viewmodel:to}=useRichEditorContext();return reactExports.useLayoutEffect(()=>eo.registerCommand(DRAG_DROP_PASTE,ro=>{return no(),!0;async function no(){for(const oo of ro)if(isMimeType(oo,ACCEPTABLE_IMAGE_TYPES)){const io=oo.name,so=await to.resolveUrlByFile(oo);eo.dispatchCommand(INSERT_IMAGE_COMMAND,{alt:io,src:so})}}},COMMAND_PRIORITY_LOW),[eo,to]),jsxRuntimeExports.jsx(reactExports.Fragment,{})};DragDropPastePlugin.displayName="DragDropPastePlugin";class Point{constructor(to,ro){this._x=to,this._y=ro}get x(){return this._x}get y(){return this._y}equals(to){return this.x===to.x&&this.y===to.y}calcDeltaXTo(to){return this.x-to.x}calcDeltaYTo(to){return this.y-to.y}calcHorizontalDistanceTo(to){return Math.abs(this.calcDeltaXTo(to))}calcVerticalDistance(to){return Math.abs(this.calcDeltaYTo(to))}calcDistanceTo(to){const ro=this.calcDeltaXTo(to)**2,no=this.calcDeltaYTo(to)**2;return Math.sqrt(ro+no)}}function isPoint(eo){return eo instanceof Point}class Rect{constructor(to,ro,no,oo){const[io,so]=ro<=oo?[ro,oo]:[oo,ro],[ao,lo]=to<=no?[to,no]:[no,to];this._top=io,this._right=lo,this._left=ao,this._bottom=so}get top(){return this._top}get right(){return this._right}get bottom(){return this._bottom}get left(){return this._left}get width(){return Math.abs(this._left-this._right)}get height(){return Math.abs(this._bottom-this._top)}static fromLTRB(to,ro,no,oo){return new Rect(to,ro,no,oo)}static fromLWTH(to,ro,no,oo){return new Rect(to,no,to+ro,no+oo)}static fromPoints(to,ro){const{y:no,x:oo}=to,{y:io,x:so}=ro;return Rect.fromLTRB(oo,no,so,io)}static fromDOM(to){const{top:ro,width:no,left:oo,height:io}=to.getBoundingClientRect();return Rect.fromLWTH(oo,no,ro,io)}equals(to){return to.top===this._top&&to.bottom===this._bottom&&to.left===this._left&&to.right===this._right}contains(to){if(isPoint(to)){const{x:ro,y:no}=to,oo=no<this._top,io=no>this._bottom,so=ro<this._left,ao=ro>this._right;return{reason:{isOnBottomSide:io,isOnLeftSide:so,isOnRightSide:ao,isOnTopSide:oo},result:!oo&&!io&&!so&&!ao}}else{const{top:ro,left:no,bottom:oo,right:io}=to;return ro>=this._top&&ro<=this._bottom&&oo>=this._top&&oo<=this._bottom&&no>=this._left&&no<=this._right&&io>=this._left&&io<=this._right}}intersectsWith(to){const{left:ro,top:no,width:oo,height:io}=to,{left:so,top:ao,width:lo,height:uo}=this,co=ro+oo>=so+lo?ro+oo:so+lo,fo=no+io>=ao+uo?no+io:ao+uo,ho=ro<=so?ro:so,po=no<=ao?no:ao;return co-ho<=oo+lo&&fo-po<=io+uo}generateNewRect({left:to=this.left,top:ro=this.top,right:no=this.right,bottom:oo=this.bottom}){return new Rect(to,ro,no,oo)}}const SPACE=4,TARGET_LINE_HALF_HEIGHT=2,DRAGGABLE_BLOCK_MENU_CLASSNAME="draggable-block-menu",DRAG_DATA_FORMAT="application/x-lexical-drag-block",TEXT_BOX_HORIZONTAL_PADDING=28,Downward=1,Upward=-1,Indeterminate=0,DraggableBlockPlugin=eo=>{const{anchorElem:to=document.body}=eo,[ro]=useLexicalComposerContext();return useDraggableBlockMenu(ro,to,ro._editable)};DraggableBlockPlugin.displayName="DraggableBlockPlugin";let prevIndex=1/0;function getCurrentIndex(eo){return eo===0?1/0:prevIndex>=0&&prevIndex<eo?prevIndex:Math.floor(eo/2)}function getTopLevelNodeKeys(eo){return eo.getEditorState().read(()=>$getRoot().getChildrenKeys())}function getCollapsedMargins(eo){const to=(lo,uo)=>lo?parseFloat(window.getComputedStyle(lo)[uo]):0,{marginTop:ro,marginBottom:no}=window.getComputedStyle(eo),oo=to(eo.previousElementSibling,"marginBottom"),io=to(eo.nextElementSibling,"marginTop"),so=Math.max(parseFloat(ro),oo);return{marginBottom:Math.max(parseFloat(no),io),marginTop:so}}function getBlockElement(eo,to,ro,no=!1){const oo=eo.getBoundingClientRect(),io=getTopLevelNodeKeys(to);let so=null;return to.getEditorState().read(()=>{if(no){const uo=to.getElementByKey(io[0]),co=to.getElementByKey(io[io.length-1]),fo=uo==null?void 0:uo.getBoundingClientRect(),ho=co==null?void 0:co.getBoundingClientRect();if(fo&&ho&&(ro.y<fo.top?so=uo:ro.y>ho.bottom&&(so=co),so))return}let ao=getCurrentIndex(io.length),lo=Indeterminate;for(;ao>=0&&ao<io.length;){const uo=io[ao],co=to.getElementByKey(uo);if(co===null)break;const fo=new Point(ro.x,ro.y),ho=Rect.fromDOM(co),{marginTop:po,marginBottom:go}=getCollapsedMargins(co),vo=ho.generateNewRect({bottom:ho.bottom+go,left:oo.left,right:oo.right,top:ho.top-po}),{result:bo,reason:{isOnTopSide:xo,isOnBottomSide:_o}}=vo.contains(fo);if(bo){so=co,prevIndex=ao;break}lo===Indeterminate&&(xo?lo=Upward:_o?lo=Downward:lo=1/0),ao+=lo}}),so}function isHTMLElement(eo){return eo instanceof HTMLElement}function isOnMenu(eo){return!!eo.closest(`.${DRAGGABLE_BLOCK_MENU_CLASSNAME}`)}function setMenuPosition(eo,to,ro){const no=to.style;if(!eo){no.opacity="0",no.transform="translate(-10000px, -10000px)";return}const oo=eo.getBoundingClientRect(),io=window.getComputedStyle(eo),so=to.getBoundingClientRect(),ao=ro.getBoundingClientRect(),lo=oo.top+(parseInt(io.lineHeight,10)-so.height)/2-ao.top,uo=SPACE;no.opacity="1",no.transform=`translate(${uo}px, ${lo}px)`}function setDragImage(eo,to){const{transform:ro}=to.style,no=to.style;no.transform="translateZ(0)",eo.setDragImage(to,0,0),setTimeout(()=>{no.transform=ro})}function setTargetLine(eo,to,ro,no){const{top:oo,height:io}=to.getBoundingClientRect(),{top:so,width:ao}=no.getBoundingClientRect(),{marginTop:lo,marginBottom:uo}=getCollapsedMargins(to);let co=oo;ro>=oo?co+=io+uo/2:co-=lo/2;const fo=co-so-TARGET_LINE_HALF_HEIGHT,ho=TEXT_BOX_HORIZONTAL_PADDING-SPACE,po=eo.style;po.transform=`translate(${ho}px, ${fo}px)`,po.width=`${ao-(TEXT_BOX_HORIZONTAL_PADDING-SPACE)*2}px`,po.opacity=".4"}function hideTargetLine(eo){const to=eo==null?void 0:eo.style;to&&(to.opacity="0",to.transform="translate(-10000px, -10000px)")}function useDraggableBlockMenu(eo,to,ro){const no=to.parentElement,oo=reactExports.useRef(null),io=reactExports.useRef(null),so=reactExports.useRef(!1),[ao,lo]=reactExports.useState(null);reactExports.useLayoutEffect(()=>{function fo(po){const go=po.target;if(!isHTMLElement(go)){lo(null);return}if(isOnMenu(go))return;const vo=getBlockElement(to,eo,po);lo(vo)}function ho(){lo(null)}return no==null||no.addEventListener("mousemove",fo),no==null||no.addEventListener("mouseleave",ho),()=>{no==null||no.removeEventListener("mousemove",fo),no==null||no.removeEventListener("mouseleave",ho)}},[no,to,eo]),reactExports.useEffect(()=>{oo.current&&setMenuPosition(ao,oo.current,to)},[to,ao]),reactExports.useEffect(()=>{function fo(po){if(!so.current)return!1;const[go]=eventFiles(po);if(go)return!1;const{pageY:vo,target:bo}=po;if(!isHTMLElement(bo))return!1;const xo=getBlockElement(to,eo,po,!0),_o=io.current;return xo===null||_o===null?!1:(setTargetLine(_o,xo,vo,to),po.preventDefault(),!0)}function ho(po){if(!so.current)return!1;const[go]=eventFiles(po);if(go)return!1;const{target:vo,dataTransfer:bo,pageY:xo}=po,_o=(bo==null?void 0:bo.getData(DRAG_DATA_FORMAT))||"",Eo=$getNodeByKey(_o);if(!Eo||!isHTMLElement(vo))return!1;const So=getBlockElement(to,eo,po,!0);if(!So)return!1;const To=$getNearestNodeFromDOMNode(So);if(!To)return!1;if(To===Eo)return!0;const wo=So.getBoundingClientRect().top;return xo>=wo?To.insertAfter(Eo):To.insertBefore(Eo),lo(null),!0}return mergeRegister(eo.registerCommand(DRAGOVER_COMMAND,po=>fo(po),COMMAND_PRIORITY_LOW),eo.registerCommand(DROP_COMMAND,po=>ho(po),COMMAND_PRIORITY_HIGH))},[to,eo]);const uo=fo=>{const ho=fo.dataTransfer;if(!ho||!ao)return;setDragImage(ho,ao);let po="";eo.update(()=>{const go=$getNearestNodeFromDOMNode(ao);go&&(po=go.getKey())}),so.current=!0,ho.setData(DRAG_DATA_FORMAT,po)},co=()=>{so.current=!1,hideTargetLine(io.current)};return reactDomExports.createPortal(jsxRuntimeExports.jsxs(reactExports.Fragment,{children:[jsxRuntimeExports.jsx("div",{className:"icon draggable-block-menu",role:"button",ref:oo,draggable:!0,onDragStart:uo,onDragEnd:co,children:jsxRuntimeExports.jsx("div",{className:ro?"icon":""})}),jsxRuntimeExports.jsx("div",{className:"draggable-block-target-line",ref:io})]}),to)}const EditablePlugin=eo=>{const{editable:to}=eo,[ro]=useLexicalComposerContext();return reactExports.useEffect(()=>{ro.setEditable(to)},[ro,to]),jsxRuntimeExports.jsx(reactExports.Fragment,{})};EditablePlugin.displayName="EditablePlugin";const ImagesPlugin=()=>{const[eo]=useLexicalComposerContext();return reactExports.useLayoutEffect(()=>{if(!eo.hasNodes([ImageNode]))throw new Error("[RichEditor] ImagesPlugin: ImageNode not registered on editor");return mergeRegister(eo.registerCommand(INSERT_IMAGE_COMMAND,onInsertImage,COMMAND_PRIORITY_EDITOR),eo.registerCommand(DRAGSTART_COMMAND,onDragStart,COMMAND_PRIORITY_HIGH),eo.registerCommand(DRAGOVER_COMMAND,onDragover,COMMAND_PRIORITY_LOW),eo.registerCommand(DROP_COMMAND,to=>onDrop(to,eo),COMMAND_PRIORITY_HIGH))},[eo]),jsxRuntimeExports.jsx(reactExports.Fragment,{})};ImagesPlugin.displayName="ImagesPlugin";let _transparentImage;const getTransparentImage=()=>{if(_transparentImage===void 0){const eo="data:image/gif;base64,R0lGODlhAQABAIAAAAAAAP///yH5BAEAAAAALAAAAAABAAEAAAIBRAA7";_transparentImage=document.createElement("img"),_transparentImage.src=eo}return _transparentImage};function onInsertImage(eo){const to=$createImageNode(eo);return $insertNodes([to]),$isRootOrShadowRoot(to.getParentOrThrow())&&$wrapNodeInElement(to,$createParagraphNode).selectEnd(),!0}function onDragStart(eo){const to=getImageNodeInSelection();if(!to)return!1;const ro=eo.dataTransfer;if(!ro)return!1;const no=getTransparentImage();return ro.setData("text/plain","_"),ro.setDragImage(no,0,0),ro.setData("application/x-lexical-drag",JSON.stringify({type:RichEditorContentType.IMAGE,data:{alt:to.alt,height:to.height,key:to.getKey(),maxWidth:to.maxWidth,src:to.src,width:to.width}})),!0}function onDragover(eo){return getImageNodeInSelection()?(canDropImage(eo)||eo.preventDefault(),!0):!1}function onDrop(eo,to){const ro=getImageNodeInSelection();if(!ro)return!1;const no=getDragImageData(eo);if(!no)return!1;if(eo.preventDefault(),canDropImage(eo)){const oo=getDragSelection(eo);ro.remove();const io=$createRangeSelection();oo!=null&&io.applyDOMRange(oo),$setSelection(io),to.dispatchCommand(INSERT_IMAGE_COMMAND,no)}return!0}function getImageNodeInSelection(){const eo=$getSelection();if(!$isNodeSelection(eo))return null;const ro=eo.getNodes()[0];return $isImageNode(ro)?ro:null}function getDragImageData(eo){var ro;const to=(ro=eo.dataTransfer)==null?void 0:ro.getData("application/x-lexical-drag");if(!to)return null;try{const{type:no,data:oo}=JSON.parse(to);return no===RichEditorContentType.IMAGE?oo:null}catch{return null}}function canDropImage(eo){const to=eo.target;return!!(to&&to instanceof HTMLElement&&!to.closest("code, span.editor-image")&&to.parentElement&&to.parentElement.closest("div.ContentEditable__root"))}const getDOMSelection=eo=>CAN_USE_DOM?(eo||window).getSelection():null;function getDragSelection(eo){const to=eo,ro=to.target,no=ro==null?null:ro.nodeType===9?ro.defaultView:ro.ownerDocument.defaultView,oo=getDOMSelection(no);let io;if(document.caretRangeFromPoint)io=document.caretRangeFromPoint(to.clientX,to.clientY);else if(to.rangeParent&&oo!==null)oo.collapse(to.rangeParent,to.rangeOffset||0),io=oo.getRangeAt(0);else throw Error("[RichEditor] ImagesPlugin: Cannot get the selection when dragging");return io}const OnKeyDownPlugin=eo=>{const[to]=useLexicalComposerContext(),ro=reactExports.useRef(eo.onKeyDown);return reactExports.useLayoutEffect(()=>{const no=oo=>{var io;(io=ro.current)==null||io.call(ro,oo)};return to.registerRootListener((oo,io)=>{io!==null&&io.removeEventListener("keydown",no),oo!==null&&oo.addEventListener("keydown",no)})},[to]),jsxRuntimeExports.jsx(reactExports.Fragment,{})};OnKeyDownPlugin.displayName="OnKeyDownPlugin";const PlainContentPastePlugin=()=>{const[eo]=useLexicalComposerContext();return reactExports.useLayoutEffect(()=>mergeRegister(eo.registerUpdateListener(to=>{to.tags.has("paste")&&eo.update(()=>{to.dirtyLeaves.forEach(ro=>{const no=$getNodeByKey(ro);if($isTextNode(no)){const oo=$copyNode(no);oo.setFormat(0),oo.setStyle(""),no.replace(oo)}})})}),eo.registerNodeTransform(TextNode$1,to=>{const ro=to.getParentOrThrow();if($isLinkNode(ro)){const no=$createTextNode(ro.__url);ro.insertBefore(no),ro.remove()}})),[eo]),jsxRuntimeExports.jsx(reactExports.Fragment,{})};PlainContentPastePlugin.displayName="PlainContentPastePlugin";const resetEditorState=eo=>to=>{to.update(()=>{const ro=$getRoot();ro.clear();for(const no of eo)if(no!=null){if(typeof no=="string"){const oo=$createTextNode(no),io=$createParagraphNode();io.append(oo),ro.append(io);continue}if(typeof no=="object"){switch(no.type){case RichEditorContentType.IMAGE:{const oo=$createImageNode({alt:no.alt,src:no.src}),io=$createParagraphNode();io.append(oo),ro.append(io);break}case RichEditorContentType.TEXT:{const oo=$createTextNode(no.value),io=$createParagraphNode();io.append(oo),ro.append(io);break}default:throw console.log("item:",no),new TypeError(`[resetEditorState] unknown rich-editor content type: ${no.type}`)}continue}console.error("[resetEditorState] unknown rich-editor data:",no)}})},RootType=RootNode.getType(),ParagraphType=ParagraphNode.getType(),TextType=TextNode$1.getType(),ImageType=ImageNode.getType(),LineBreakType=LineBreakNode.getType(),extractEditorData=eo=>{const to=eo.toJSON(),ro=[];for(const oo of to.root.children)no(oo);return ro;function no(oo){switch(oo.type){case ImageType:{const{src:io,alt:so}=oo;if(io.startsWith(FAKE_PROTOCOL)){const ao=ro[ro.length-1];(ao==null?void 0:ao.type)===RichEditorContentType.TEXT&&(ao.value+=`
+`);break}ro.push({type:RichEditorContentType.IMAGE,src:io,alt:so});break}case LineBreakType:{const io=ro[ro.length-1];(io==null?void 0:io.type)===RichEditorContentType.TEXT&&(io.value+=`
+`);break}case ParagraphType:{const io=oo.children;for(const so of io)no(so);break}case TextType:{const io=oo.text,so=ro[ro.length-1];(so==null?void 0:so.type)===RichEditorContentType.TEXT?so.value+=io:ro.push({type:RichEditorContentType.TEXT,value:io});break}default:throw new TypeError(`[RichEditor] [extractEditorData] Unknown node.type: (${oo.type})`)}}},replaceImageSrc=(eo,to,ro)=>{eo.update(()=>{const no=$getRoot();oo(no);function oo(io){switch(io.getType()){case RootType:case ParagraphType:for(const so of io.getChildren())oo(so);break;case ImageType:{const so=io;if(so.getSrc()===to){const ao=$createImageNode({alt:so.getAltText(),src:ro});so.replace(ao)}break}}}})};class RichEditor extends reactExports.Component{constructor(to){super(to),this.state={floatingAnchorElem:null};const{editable:ro=!0,initialContent:no}=this.props;this.initialConfig={namespace:"react-simple-rich-editor",theme:{ltr:"ltr",rtl:"rtl",placeholder:classes.editorPlaceholder,paragraph:classes.editorParagraph},nodes:[ImageNode,LinkNode],editable:ro,editorState:no?resetEditorState(no):null,onError:oo=>{console.error(oo)}},this.onKeyDown=this.onKeyDown.bind(this),this.onFocus=this.onFocus.bind(this),this.onBlur=this.onBlur.bind(this),this.onChange=this.onChange.bind(this),this.onEditorInputWrapperRef=this.onEditorInputWrapperRef.bind(this)}render(){const{initialConfig:to,onKeyDown:ro,onFocus:no,onBlur:oo,onChange:io,onEditorInputWrapperRef:so}=this,{editable:ao=!0,placeholder:lo="Enter some text...",pluginsBeforeRichEditors:uo=[],pluginsAfterRichEditors:co=[]}=this.props,{floatingAnchorElem:fo}=this.state,ho=mergeStyles$1(classes.editorContainer,this.props.editorContainerCls),po=mergeStyles$1(classes.editorInput,this.props.editorInputCls),go=mergeStyles$1(classes.editorInputBox,this.props.editorInputBoxCls),vo=mergeStyles$1(classes.editorPlaceholder,this.props.editorPlaceholderCls),bo=jsxRuntimeExports.jsx("div",{ref:so,className:go,children:jsxRuntimeExports.jsx(ContentEditable,{onFocus:no,onBlur:oo,className:po})});return jsxRuntimeExports.jsxs(LexicalComposer,{initialConfig:to,children:[jsxRuntimeExports.jsx(EditablePlugin,{editable:ao}),jsxRuntimeExports.jsx(CommandPlugin,{}),jsxRuntimeExports.jsxs("div",{className:ho,children:[uo,jsxRuntimeExports.jsx(RichTextPlugin,{contentEditable:bo,placeholder:jsxRuntimeExports.jsx("div",{className:vo,children:lo}),ErrorBoundary:LexicalErrorBoundary}),co,jsxRuntimeExports.jsx(OnKeyDownPlugin,{onKeyDown:ro}),jsxRuntimeExports.jsx(OnChangePlugin,{onChange:io}),jsxRuntimeExports.jsx(DragDropPastePlugin,{}),jsxRuntimeExports.jsx(PlainContentPastePlugin,{}),jsxRuntimeExports.jsx(ImagesPlugin,{}),jsxRuntimeExports.jsx(HistoryPlugin,{}),fo&&jsxRuntimeExports.jsx(DraggableBlockPlugin,{anchorElem:fo})]})]})}onKeyDown(to){var ro,no;(no=(ro=this.props).onKeyDown)==null||no.call(ro,to)}onFocus(to){var ro,no;(no=(ro=this.props).onFocus)==null||no.call(ro,to)}onBlur(to){var ro,no;(no=(ro=this.props).onBlur)==null||no.call(ro,to)}onChange(to){var ro,no;(no=(ro=this.props).onChange)==null||no.call(ro,to)}onEditorInputWrapperRef(to){to!==null&&this.setState({floatingAnchorElem:to})}}const classes=mergeStyleSets({editorContainer:{boxSizing:"border-box",position:"relative"},editorInputBox:{boxSizing:"border-box",overflow:"auto",border:"none",position:"relative",fontWeight:"400",textAlign:"left"},editorInput:{overflow:"auto",boxSizing:"border-box",resize:"none",fontSize:"15px",position:"relative",tabSize:"1",outline:"0","> :last-child":{marginBottom:0}},editorPlaceholder:{boxSizing:"border-box",color:"#999",overflow:"hidden",position:"absolute",textOverflow:"ellipsis",top:"0px",left:"0px",fontSize:"15px",userSelect:"none",display:"inline-block",pointerEvents:"none",width:"100%"},editorParagraph:{margin:"0 0 15px 0",position:"relative"}}),ReactRichEditor=reactExports.forwardRef((eo,to)=>{const[ro]=reactExports.useState(()=>new RichEditorViewModel({extractEditorData,replaceImageSrc,resetEditorState})),no=reactExports.useMemo(()=>({viewmodel:ro}),[ro]);return ro.resolveUrlByFile$.next(eo.resolveUrlByFile),ro.resolveUrlByPath$.next(eo.resolveUrlByPath),reactExports.useImperativeHandle(to,()=>({focus:()=>{no.viewmodel.focus()},getContent:()=>no.viewmodel.getContent(),insert:oo=>{no.viewmodel.insert(oo)},isEmpty:()=>no.viewmodel.isEmpty(),replaceImageSrc:(oo,io)=>{no.viewmodel.replaceImageSrc(oo,io)},reset:oo=>{no.viewmodel.reset(oo)}})),jsxRuntimeExports.jsx(RichEditorContextType.Provider,{value:no,children:jsxRuntimeExports.jsx(RichEditor,{...eo})})});ReactRichEditor.displayName="ReactRichEditor";makeStyles({editor:{...shorthands.padding("8px"),...shorthands.border("1px","solid",tokens.colorNeutralBackground5),...shorthands.borderRadius("4px"),boxSizing:"border-box",display:"block",width:"100%",userSelect:"none",position:"relative"}});makeStyles({chatbox:{...shorthands.borderRadius("8px"),display:"flex",flexDirection:"column",alignItems:"stretch",backgroundColor:tokens.colorNeutralBackground1,width:"100%",height:"100%",boxShadow:"0px 6.4px 14.4px rgba(0, 0, 0, 0.132), 0px 1.2px 3.6px rgba(0, 0, 0, 0.108)","::-webkit-scrollbar":{width:"4px",backgroundColor:tokens.colorNeutralBackground1Hover},"::-webkit-scrollbar-thumb":{backgroundColor:tokens.colorScrollbarOverlay,...shorthands.border("1px","solid",tokens.colorNeutralBackground1),...shorthands.borderRadius("9999px")},"::-webkit-scrollbar-thumb:hover":{backgroundColor:tokens.colorNeutralForeground1Static},"::-webkit-scrollbar-track":{...shorthands.borderRadius("9999px"),backgroundColor:"transparent"}},header:{...shorthands.flex(0,0,"auto")},main:{...shorthands.flex(1,1,"auto"),...shorthands.overflow("hidden","auto")},footer:{...shorthands.flex(0,0,"auto")}});makeStyles({header:{},topbar:{...shorthands.padding("0px","16px"),...shorthands.borderBottom("1px","solid",tokens.colorNeutralBackground5),boxSizing:"border-box",display:"flex",justifyContent:"space-between",alignItems:"center",height:"48px"},toolbarTitle:{display:"flex",alignItems:"center",columnGap:"2px"},toolbarActionButton:{color:tokens.colorNeutralForeground2}});makeStyles({main:{...shorthands.padding("0","16px"),...shorthands.overflow("hidden","auto"),height:"100%"}});makeStyles({footer:{...shorthands.padding("16px"),boxSizing:"border-box"},footerContainer:{display:"flex"},leftToolbar:{...shorthands.flex(0,0,"auto")},editor:{...shorthands.flex(1),boxSizing:"border-box"},validation:{boxSizing:"border-box"},validationInner:{...shorthands.border("1px","solid",tokens.colorNeutralBackground5),...shorthands.borderRadius("4px"),...shorthands.margin("8px","0px"),...shorthands.padding("2px","8px"),backgroundColor:tokens.colorStatusWarningBackground1,color:tokens.colorStatusWarningForeground1}});const capitalizeFirstLetter=eo=>eo.charAt(0).toUpperCase()+eo.slice(1),getSenderNameByLLMMessage=eo=>eo.role&&eo.name?`${eo.role}: ${eo.name}`:eo.role?eo.role:eo.name?eo.name:"user",defaultCalcContentForCopy=eo=>JSON.stringify(eo.content),messageRoleToCategory=eo=>{switch(eo){case"system":return ChatMessageCategory.System;case"user":return ChatMessageCategory.User;default:return ChatMessageCategory.Chatbot}},colorsPool=[{color:tokens.colorPaletteSeafoamForeground2,backgroundColor:tokens.colorPaletteSeafoamBackground2},{color:tokens.colorPaletteNavyForeground2,backgroundColor:tokens.colorPaletteNavyBackground2},{color:tokens.colorPaletteGrapeForeground2,backgroundColor:tokens.colorPaletteGrapeBackground2},{color:tokens.colorPalettePinkForeground2,backgroundColor:tokens.colorPalettePinkBackground2},{color:tokens.colorPaletteDarkOrangeForeground2,backgroundColor:tokens.colorPaletteDarkOrangeBackground2},{color:tokens.colorPaletteBrassForeground2,backgroundColor:tokens.colorPaletteBrassBackground2}],nameToColor=new Map,getColorForMessage=({name:eo="",role:to=""})=>{if(to.toLowerCase()==="system")return{color:tokens.colorNeutralForeground3,backgroundColor:tokens.colorNeutralBackground3};const ro=`${eo}_${to}`;return nameToColor.has(ro)||nameToColor.set(ro,colorsPool[nameToColor.size%colorsPool.length]),nameToColor.get(ro)},EMPTY_CONTEXTUAL_MENU_ITEMS=[],defaultUseContextualMenuItems=eo=>EMPTY_CONTEXTUAL_MENU_ITEMS;function LLMNodeMessageBubbleRenderer(eo){const{MessageAvatarRenderer:to,MessageContentRenderer:ro=DefaultMessageContentRenderer,MessageErrorRenderer:no=DefaultMessageErrorRenderer,MessageSenderRenderer:oo=DefaultMessageSenderRenderer,MessagePaginationRenderer:io=DefaultMessagePaginationRenderer,MessageActionBarRenderer:so=DefaultMessageActionBarRenderer,MessageStatusRenderer:ao=DefaultMessageStatusRenderer,useMessageContextualMenuItems:lo=defaultUseContextualMenuItems,useMessageActions:uo,initialPage:co=-1,locStrings:fo,message:ho,className:po}=eo,go=useStyles$3(),[vo,bo]=React.useState((co%ho.history.length+ho.history.length)%ho.history.length),[xo,_o]=React.useState(!1),Eo=React.useRef(null),So=React.useRef(null),To=React.useCallback(()=>{_o(!1)},[]),wo=React.useCallback(Mo=>{const Do=Eo.current,jo=So.current;if(Do&&jo){const Fo=Mo.clientX,$o=Mo.clientY,Lo=Do.getBoundingClientRect(),Ho=Lo.left+window.scrollX,qo=Lo.top+window.scrollY,Uo=Fo-Ho,Yo=$o-qo;jo.style.left=`${Uo}px`,jo.style.top=`${Yo}px`}},[]),Co=React.useCallback(Mo=>{Mo.preventDefault(),wo(Mo),_o(!0)},[wo]),Oo=ho.history[vo],Ao="left",Ro=lo(Oo);React.useEffect(()=>{const Mo=()=>{_o(!1)};return document.addEventListener("mousedown",Mo),()=>document.removeEventListener("mousedown",Mo)},[]);const No=getColorForMessage(Oo.content[0]??{});return jsxRuntimeExports.jsx("div",{className:go.container,"data-chatbox-locator":ChatboxLocator.MessageBubble,"data-position":Ao,children:jsxRuntimeExports.jsx("div",{className:mergeClasses(go.message,po),"data-position":Ao,children:jsxRuntimeExports.jsxs("div",{className:go.main,children:[jsxRuntimeExports.jsxs("div",{className:go.heading,children:[jsxRuntimeExports.jsx("div",{className:go.avatar,children:to&&jsxRuntimeExports.jsx(to,{data:Oo,position:Ao})}),jsxRuntimeExports.jsx("div",{className:go.sender,children:jsxRuntimeExports.jsx(oo,{data:Oo,position:Ao})})]}),jsxRuntimeExports.jsxs("div",{ref:Eo,className:go.content,style:No,"data-category":Oo.category,"data-chatbox-locator":ChatboxLocator.MessageContent,onContextMenu:Co,onClick:wo,children:[jsxRuntimeExports.jsx(ro,{content:Oo.content,className:go.contentMain}),Oo.error&&jsxRuntimeExports.jsx(no,{error:Oo.error,locStrings:fo,className:go.error}),typeof Oo.duration=="number"&&typeof Oo.tokens=="number"&&jsxRuntimeExports.jsx(ao,{duration:Oo.duration,tokens:Oo.tokens,locStrings:fo,className:go.status}),ho.history.length>1&&jsxRuntimeExports.jsx(io,{className:go.pagination,message:ho,current:vo,setCurrent:bo}),jsxRuntimeExports.jsx("div",{ref:So,className:go.contentMenuAnchor}),Ro.length>0&&jsxRuntimeExports.jsx(ContextualMenu,{items:Ro,hidden:!xo,target:So,onItemClick:To,onDismiss:To,className:go.contextualMenu}),jsxRuntimeExports.jsx("div",{className:go.actionBar,"data-chatbox-locator":ChatboxLocator.MessageActionBar,children:jsxRuntimeExports.jsx(so,{data:Oo,locStrings:fo,useMessageActions:uo})})]})]})})})}LLMNodeMessageBubbleRenderer.displayName="LLMNodeMessageBubbleRenderer";const useStyles$3=makeStyles({container:{...shorthands.margin("16px","0"),display:"flex",justifyContent:"flex-start",'&&[data-position="right"]':{justifyContent:"flex-end"},width:"100%"},message:{display:"flex",flexDirection:"row",'&&[data-position="right"]':{flexDirection:"row-reverse"},width:"calc(100% - 8px)",marginBottom:"18px"},heading:{display:"flex",alignContent:"center"},avatar:{...shorthands.flex(0,0,"auto")},main:{...shorthands.flex(1,1,"auto"),display:"flex",flexDirection:"column",width:"100%"},sender:{...shorthands.flex(0,0,"auto"),fontSize:"16px",fontWeight:600,lineHeight:"22px"},content:{...shorthands.flex(1,1,"auto"),...shorthands.borderRadius("4px"),position:"relative",boxSizing:"border-box",minWidth:"48px",wordBreak:"break-word",lineHeight:"22px","> p":{...shorthands.margin(0)},[`&:hover > ${ChatboxSelector.MessageActionBar}`]:{display:"flex",visibility:"visible"}},contentMain:{...shorthands.padding("12px","20px","12px","12px")},contextualMenu:{width:"auto",minWidth:"180px"},contentMenuAnchor:{position:"absolute",top:"0px",left:"0px"},error:{...shorthands.borderTop("1px","solid",tokens.colorPaletteDarkRedBorderActive),marginTop:"8px !important",paddingTop:"8px"},pagination:{},status:{...shorthands.borderTop("1px","solid",tokens.colorNeutralStroke1),...shorthands.padding("0px","20px","0px","12px"),fontSize:"12px",fontStyle:"italic"},actionBar:{position:"absolute",right:"0px",top:"-32px",display:"none",justifyContent:"space-between"}});function MessageSenderRenderer(eo){const{data:to,position:ro,className:no}=eo,oo=useStyles$2(),{name:io,role:so}=to.content[0],ao={user:"success",assistant:"brand",system:"informative"};return jsxRuntimeExports.jsxs("div",{className:mergeClasses(oo.container,no),"data-position":ro,children:[io&&jsxRuntimeExports.jsx("span",{className:oo.name,"data-position":ro,"data-category":to.category,children:io}),so&&jsxRuntimeExports.jsx(Badge$2,{className:oo.role,color:ao[so],children:so})]})}MessageSenderRenderer.displayName="MessageSenderRenderer";const useStyles$2=makeStyles({container:{display:"flex",flexWrap:"nowrap",alignItems:"center",justifyContent:"flex-start",color:tokens.colorNeutralForeground3},name:{...shorthands.margin("0px","0px","0px","6px"),fontSize:"16px",lineHeight:"22px"},role:{marginLeft:"6px"}}),OpenAIIcon=({styles:eo})=>jsxRuntimeExports.jsxs("svg",{fill:"currentColor",width:"20px",height:"20px",viewBox:"0 0 2048 2048",role:"img",xmlns:"http://www.w3.org/2000/svg",style:eo,children:[jsxRuntimeExports.jsx("title",{children:"OpenAI icon"}),jsxRuntimeExports.jsx("path",{d:"M832 676l575 288v760l-575 288-575-288V964l575-288zm0 144l-368 184 368 183 368-183-368-184zm-447 825l383 191v-538l-383-191v538zm894 0v-538l-383 191v538l383-191zm577-733q14 0 23 9t9 23q0 23 9 43t24 36 35 24 44 9q14 0 23 9t9 23q0 14-9 23t-23 9q-23 0-43 9t-36 24-24 35-9 44q0 14-9 23t-23 9q-14 0-23-9t-9-23q0-23-9-43t-24-36-35-24-44-9q-14 0-23-9t-9-23q0-14 9-23t23-9q23 0 43-9t36-24 24-35 9-44q0-14 9-23t23-9zM704 496q-14 0-23-9t-9-23q0-23-9-43t-24-36-35-24-44-9q-14 0-23-9t-9-23q0-14 9-23t23-9q23 0 43-9t36-24 24-35 9-44q0-14 9-23t23-9q14 0 23 9t9 23q0 23 9 43t24 36 35 24 44 9q14 0 23 9t9 23q0 14-9 23t-23 9q-23 0-43 9t-36 24-24 35-9 44q0 14-9 23t-23 9zm1206-48q0 23-15 38t-39 16q-27 0-57 11t-58 28-54 37-45 40q-19 19-39 44t-38 54-28 59-11 57q0 23-15 38t-39 16q-23 0-38-15t-16-39q0-27-11-57t-28-58-37-54-40-45q-19-19-44-39t-54-38-59-28-57-11q-23 0-38-15t-16-39q0-23 15-38t39-16q27 0 57-11t58-28 54-37 45-40q19-19 39-44t38-54 28-59 11-57q0-23 15-38t39-16q23 0 38 15t16 39q0 27 11 57t28 58 37 54 40 45q19 19 44 39t54 38 59 28 57 11q23 0 38 15t16 39zm-438 212q38-65 92-119t120-93q-65-38-119-92t-93-120q-38 65-92 119t-120 93q65 38 119 92t93 120z"})]});var RichContentType=(eo=>(eo.TEXT="text",eo.IMAGE_URL="image_url",eo.IMAGE_FILE="image_file",eo))(RichContentType||{});const useClasses$d=makeStyles({header:{display:"flex",alignItems:"center"},paramKey:{fontSize:"14px",fontWeight:600,lineHeight:"20px",marginRight:"4px"},type:{fontSize:"13px",marginLeft:"10px",lineHeight:"20px",color:tokens.colorNeutralForeground3},description:{fontSize:"14px",lineHeight:"21px"},required:{color:tokens.colorPaletteRedForeground1,marginLeft:"10px"},optional:{color:tokens.colorPaletteGreenForeground1,marginLeft:"10px"},sectionTitle:{fontSize:"12px",color:tokens.colorNeutralForeground3}}),FunctionParameterRow=({paramKey:eo,paramSchema:to,isRequired:ro})=>{const{type:no,description:oo,properties:io,required:so,enum:ao}=to,lo=useClasses$d();return jsxRuntimeExports.jsxs(Card,{appearance:"outline",children:[jsxRuntimeExports.jsx(CardHeader,{header:jsxRuntimeExports.jsxs("div",{className:lo.header,children:[jsxRuntimeExports.jsx("div",{className:lo.paramKey,children:eo}),jsxRuntimeExports.jsx("div",{className:lo.type,children:no}),ro?jsxRuntimeExports.jsx("div",{className:lo.required,children:"Required"}):jsxRuntimeExports.jsx("div",{className:lo.optional,children:"Optional"})]})}),oo&&jsxRuntimeExports.jsx("div",{className:lo.description,children:oo}),io&&jsxRuntimeExports.jsx(Accordion,{collapsible:!0,children:jsxRuntimeExports.jsxs(AccordionItem,{value:"properties",children:[jsxRuntimeExports.jsx(AccordionHeader,{children:jsxRuntimeExports.jsx("div",{className:lo.sectionTitle,children:"Properties"})}),jsxRuntimeExports.jsx(AccordionPanel,{children:Object.keys(io).map(uo=>jsxRuntimeExports.jsx(FunctionParameterRow,{paramKey:uo,paramSchema:io[uo],isRequired:so==null?void 0:so.includes(uo)},uo))})]})}),ao&&jsxRuntimeExports.jsx(Accordion,{collapsible:!0,children:jsxRuntimeExports.jsxs(AccordionItem,{value:"enum",children:[jsxRuntimeExports.jsx(AccordionHeader,{children:jsxRuntimeExports.jsx("div",{className:lo.sectionTitle,children:"Possible values"})}),jsxRuntimeExports.jsx(AccordionPanel,{children:ao.map(uo=>jsxRuntimeExports.jsx("div",{children:uo},uo))})]})})]})},useClasses$c=makeStyles({root:{...shorthands.padding("8px")},header:{fontSize:"24px",fontWeight:700,lineHeight:"30px"},parametersTitle:{fontSize:"20px",fontWeight:700,lineHeight:"28px"}}),LLMNodeToolCard=({tool:eo})=>{var ro;const to=useClasses$c();return jsxRuntimeExports.jsx("div",{className:to.root,children:jsxRuntimeExports.jsxs(Card,{children:[jsxRuntimeExports.jsx(CardHeader,{header:jsxRuntimeExports.jsx("div",{className:to.header,children:eo.function.name})}),eo.function.description&&jsxRuntimeExports.jsx("div",{children:eo.function.description}),eo.function.parameters&&jsxRuntimeExports.jsx("div",{className:to.parametersTitle,children:"Parameters"}),Object.keys(((ro=eo.function.parameters)==null?void 0:ro.properties)||{}).map(no=>{var io,so,ao,lo;const oo=(so=(io=eo.function.parameters)==null?void 0:io.properties)==null?void 0:so[no];return oo?jsxRuntimeExports.jsx(FunctionParameterRow,{paramKey:no,paramSchema:oo,isRequired:(lo=(ao=eo.function.parameters)==null?void 0:ao.required)==null?void 0:lo.includes(no)},no):null})]})})},RichTextChatboxMessageContent=eo=>{const{content:to,className:ro}=eo,no=to.map(co=>co.function_call).filter(Boolean),oo=to.reduce((co,fo)=>fo.tool_calls?[...co,...fo.tool_calls]:co,[]),io=to.reduce((co,fo)=>fo.tools?[...co,...fo.tools]:co,[]),so=reactExports.useMemo(()=>to.map(co=>weaveRichNodesIntoMarkup(co.content??"")).join(`
+
+`),[to]),ao=useStyles$1(),lo=mergeClasses(ao.content,ro,"rich-text-chatbox-message-content"),uo=useLocStrings();return jsxRuntimeExports.jsxs("div",{className:lo,children:[jsxRuntimeExports.jsx(ReactMarkdown,{text:so}),no.length>0&&jsxRuntimeExports.jsx("h3",{children:uo.Function_Calls}),no.map(co=>jsxRuntimeExports.jsx(JsonNodeCard,{title:(co==null?void 0:co.name)??"Function call",src:co==null?void 0:co.arguments},co==null?void 0:co.name)),oo.length>0&&jsxRuntimeExports.jsx("h3",{children:uo.Tool_Calls}),oo.map(co=>{const fo=io.find(ho=>ho.function.name===co.function.name);return jsxRuntimeExports.jsxs(Card,{style:{marginBottom:8},children:[jsxRuntimeExports.jsx(CardHeader,{header:fo?jsxRuntimeExports.jsxs(jsxRuntimeExports.Fragment,{children:[jsxRuntimeExports.jsxs("span",{children:["[",co.type,"]"]}),jsxRuntimeExports.jsxs(Popover,{children:[jsxRuntimeExports.jsx(PopoverTrigger,{children:jsxRuntimeExports.jsx("div",{className:ao.popoverTrigger,children:co.function.name})}),jsxRuntimeExports.jsx(PopoverSurface,{children:jsxRuntimeExports.jsx(LLMNodeToolCard,{tool:fo})})]})]}):`[${co.type}] ${co.function.name}`}),jsxRuntimeExports.jsx(JsonNodeCard,{title:uo.Arguments,src:co.function.arguments})]},co.id)})]})},useStyles$1=makeStyles({content:{...shorthands.overflow("auto"),wordBreak:"break-all",whiteSpace:"break-spaces"},popoverTrigger:{cursor:"pointer",marginLeft:"4px",color:tokens.colorBrandBackground,...shorthands.textDecoration("underline")}});function weaveRichNodesIntoMarkup(eo){if(typeof eo=="string")return eo;return Array.isArray(eo)?eo.map(to).filter(Boolean).join(`
+
+`):new Error("content type is not supported");function to(ro){var no,oo,io,so;switch(ro.type){case RichContentType.TEXT:return ro.text??"";case RichContentType.IMAGE_URL:return`![${(no=ro.image_url)==null?void 0:no.url}](${(oo=ro.image_url)==null?void 0:oo.url})`;case RichContentType.IMAGE_FILE:return`![${(io=ro.image_file)==null?void 0:io.path}](${(so=ro.image_file)==null?void 0:so.path})`;default:return""}}}const useAvatarStyles=makeStyles({avatar:{}}),useMessagesContainerStyles=makeStyles({messagesContainer:{display:"flex",height:"100%",width:"100%"},minimap:{boxSizing:"border-box",height:"100%",width:"8px"},minimapInner:{boxSizing:"border-box",width:"8px",...shorthands.border("1px","solid","rgba(0, 0, 128, 0.15)")}}),LLMNodeMessagesList=eo=>{const to=useSelectedSpan(),ro=useMessagesContainerStyles(),no=reactExports.useRef(null),oo=ChatboxSelector.MessageList,io=ChatboxSelector.MessageContent,so=eo.messages.map((ao,lo)=>({id:lo,type:ChatMessageType.Message,history:[{content:[{content:ao.content??"",name:ao.name,role:ao.role,timestamp:ao.timestamp,function_call:ao.function_call,tool_calls:ao.tool_calls,tools:eo.tools}],category:messageRoleToCategory(ao.role),from:capitalizeFirstLetter(getSenderNameByLLMMessage(ao)),timestamp:ao.role==="assistant"?to==null?void 0:to.start_time:to==null?void 0:to.end_time}]}));return reactExports.useEffect(()=>{const ao=document.querySelectorAll(".rich-text-chatbox-message-content"),lo=ao[ao.length-1];lo&&lo.scrollIntoView({block:"end"})},[]),jsxRuntimeExports.jsxs("div",{className:ro.messagesContainer,children:[jsxRuntimeExports.jsx(ChatboxMessageList,{locStrings:defaultLocStrings$1,messages:so,calcContentForCopy:defaultCalcContentForCopy,containerRef:no}),jsxRuntimeExports.jsx("div",{className:ro.minimap,children:jsxRuntimeExports.jsx(Minimap,{className:ro.minimapInner,syncScale:!1,sourceRootRef:no,sourceQuerySelector:oo,sourceElementQuerySelector:io})})]})},MessageAvatarRenderer=({data:eo,className:to})=>{const ro=useAvatarStyles();return eo.category===ChatMessageCategory.System?jsxRuntimeExports.jsx("div",{className:mergeClasses(ro.avatar,to),children:jsxRuntimeExports.jsx(Alert24Regular,{})}):eo.category===ChatMessageCategory.User?jsxRuntimeExports.jsx("div",{className:mergeClasses(ro.avatar,to),children:jsxRuntimeExports.jsx(Person24Regular,{})}):eo.category===ChatMessageCategory.Chatbot?jsxRuntimeExports.jsx("div",{className:mergeClasses(ro.avatar,to),children:jsxRuntimeExports.jsx(OpenAIIcon,{})}):null};function ChatboxMessageList(eo){const{locStrings:to,messages:ro,calcContentForCopy:no,containerRef:oo}=eo,io=useCopyAction(to,no),so=reactExports.useCallback(()=>[io],[io]),ao=useStyles();return jsxRuntimeExports.jsx("div",{ref:oo,className:ao.main,children:jsxRuntimeExports.jsx(MessageListRenderer,{locStrings:to,messages:ro,MessageAvatarRenderer,MessageContentRenderer:RichTextChatboxMessageContent,MessageSenderRenderer,MessageBubbleRenderer:LLMNodeMessageBubbleRenderer,useMessageActions:so})})}ChatboxMessageList.displayName="ChatboxMessageList";const useStyles=makeStyles({main:{...shorthands.padding("0","6px"),...shorthands.overflow("auto"),...shorthands.flex(1),height:"100%"}}),getVariableHoverMarkdown=eo=>{let to="";return typeof eo=="string"?to=eo:to=JSON.stringify(eo),to},useLLMJinjaEditorMount=eo=>reactExports.useCallback(ro=>{const no=Object.keys(eo),oo=ro.getModel();no.forEach(io=>{const so=oo==null?void 0:oo.findMatches(`[^.](${io})\\s*(%|\\})`,!1,!0,!1,null,!1);so==null||so.forEach(ao=>{ro.createDecorationsCollection([{range:{...ao.range,startColumn:ao.range.startColumn+1,endColumn:ao.range.endColumn-1},options:{isWholeLine:!1,inlineClassName:"llm-variable-highlight",hoverMessage:{value:getVariableHoverMarkdown(eo[io])}}}])})})},[eo]),useMessageCardClasses=makeStyles({card:{...shorthands.borderRadius("8px"),...shorthands.borderColor(tokens.colorNeutralStroke1),...shorthands.borderWidth("1px"),...shorthands.borderStyle("solid"),...shorthands.padding("16px"),...shorthands.margin("16px")}}),useClasses$b=makeStyles({root:{height:"100%",display:"flex",flexDirection:"column",...shorthands.overflow("auto")},title:{fontSize:"14px",lineHeight:"20px",fontStyle:"italic",fontWeight:400,color:tokens.colorNeutralForeground1},card:{flexGrow:1,...shorthands.padding("0px"),...shorthands.margin("0px")}}),LLMNodePromptTemplateTab=()=>{var lo,uo;const eo=useParentSpanOfSelectedSpan(),to=eo==null?void 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eo=useSelectedSpan(),to=getSpanType(eo);switch(to==null?void 0:to.toLowerCase()){case"llm":return jsxRuntimeExports.jsx(LLMNodeInfo,{item:"raw"});case"retrieval":return jsxRuntimeExports.jsx(RetrievalNodeInfo,{});case"embedding":return jsxRuntimeExports.jsx(EmbeddingNodeInfo,{});default:return jsxRuntimeExports.jsx(DefaultNodeInfo,{})}},SpansTreeContext=reactExports.createContext({parentIdLookUp:new Map,collapsedSpanIds:Set$1(),setCollapsedSpanIds:()=>{}}),useIsLeafSpan=eo=>{var no;const ro=reactExports.useContext(SpansTreeContext).parentIdLookUp;return!ro.get(eo)||((no=ro.get(eo))==null?void 0:no.length)===0},useToggleCollapse=()=>{const{setCollapsedSpanIds:eo}=reactExports.useContext(SpansTreeContext);return reactExports.useCallback(to=>{eo(ro=>ro.has(to)?ro.delete(to):ro.add(to))},[eo])},useIsCollapsed=eo=>reactExports.useContext(SpansTreeContext).collapsedSpanIds.has(eo),useClasses$9=makeStyles({root:{height:"100%",width:"100%",display:"flex",alignItems:"center",justifyContent:"flex-start",flexWrap:"nowrap",cursor:"pointer",boxSizing:"border-box",position:"relative",...shorthands.padding("6px","8px"),...shorthands.gap("6px")},toggleButton:{marginLeft:"-6px",marginRight:"-2px"},spanName:{...shorthands.flex(0,1,"auto"),fontSize:"14px",color:tokens.colorNeutralForeground1,...shorthands.overflow("hidden"),textOverflow:"ellipsis",whiteSpace:"nowrap",marginRight:"4px"},lastInputMessage:{...shorthands.margin("0px","0px","0px","4px"),fontSize:"12px",color:tokens.colorNeutralForeground2},lastInputMessageLabel:shorthands.margin("0px","4px","0px","0px"),right:{display:"flex",flexWrap:"nowrap",justifyContent:"flex-end",marginLeft:"auto",...shorthands.flex(0,1,"auto"),...shorthands.padding("0px","10px","0px","0px"),...shorthands.gap(tokens.spacingHorizontalXS)},selectedBar:{position:"absolute",backgroundColor:"#1372ED",width:"3px",height:"24px",left:"0px",...shorthands.borderRadius("3px")}}),TreeNode$1=({node:eo,span:to})=>{var ho,po,go,vo,bo,xo;const ro=getSpanType(to),no=bitset.has(GraphNodeStatus.Selected)(eo.status),oo=bitset.has(GraphNodeStatus.Activated)(eo.status),io=useClasses$9(),so=useIsLeafSpan(((ho=to.context)==null?void 0:ho.span_id)??""),ao=useIsCollapsed(((po=to.context)==null?void 0:po.span_id)??""),lo=useToggleCollapse(),uo=tokens.colorNeutralStroke2;let co=tokens.colorNeutralBackground1;no&&(co=tokens.colorNeutralBackground1Selected),oo&&(co=tokens.colorNeutralBackground1Hover);const fo=reactExports.useCallback(_o=>{var Eo;_o.preventDefault(),_o.stopPropagation(),lo(((Eo=to.context)==null?void 0:Eo.span_id)??"")},[(go=to.context)==null?void 0:go.span_id,lo]);return jsxRuntimeExports.jsx("foreignObject",{x:eo.x,y:eo.y,width:TREE_NODE_WIDTH,height:TREE_NODE_HEIGHT,style:{borderRadius:tokens.borderRadiusXLarge,border:`1px solid ${uo}`,backgroundColor:co,boxShadow:"0px 1px 2px 0px rgba(0, 0, 0, 0.05)"},children:jsxRuntimeExports.jsxs("div",{className:io.root,children:[no&&jsxRuntimeExports.jsx("div",{className:io.selectedBar}),!so&&jsxRuntimeExports.jsx(Button$2,{size:"small",className:io.toggleButton,onClick:fo,appearance:"transparent",icon:ao?jsxRuntimeExports.jsx(ChevronRight20Regular,{}):jsxRuntimeExports.jsx(ChevronDown20Regular,{})}),jsxRuntimeExports.jsx(SpanType,{span:ro}),jsxRuntimeExports.jsx(Tooltip,{content:to.name??"",relationship:"label",children:jsxRuntimeExports.jsx("div",{className:io.spanName,children:`${to.name}`})}),jsxRuntimeExports.jsxs("div",{className:io.right,children:[((bo=(vo=to==null?void 0:to.status)==null?void 0:vo.status_code)==null?void 0:bo.toLowerCase())==="error"&&jsxRuntimeExports.jsx(StatusText,{statusCode:(xo=to.status)==null?void 0:xo.status_code,tooltipContent:to.status.message,size:UISize.extraSmall}),jsxRuntimeExports.jsx(NodeToken,{span:to,size:UISize.extraSmall}),jsxRuntimeExports.jsx(LatencyText,{startTimeISOString:to.start_time,endTimeISOString:to.end_time,size:UISize.extraSmall})]})]})})};class NodeConfig{constructor(to){this.options=to}render(to){const ro=this.options.spans.find(no=>{var oo;return((oo=no==null?void 0:no.context)==null?void 0:oo.span_id)===to.model.id});return ro?jsxRuntimeExports.jsx(TreeNode$1,{node:to.model,span:ro}):null}getMinHeight(){return 0}getMinWidth(){return 0}}const TreeView=()=>{const[eo,to]=reactExports.useState(new Map),[ro,no]=reactExports.useState(Set$1()),oo=useSpansOfSelectedTrace(),io=useSetSelectedSpanId(),so=useSelectedSpanId(),ao=ho=>(po,go)=>(go&&go.type===GraphNodeEvent.Click&&io(go.node.id),ho(po,go)),lo=GraphConfigBuilder.default().registerNode(()=>new NodeConfig({spans:oo})).registerPort(()=>new PortConfig).registerEdge(()=>new EdgeConfig).build(),uo=new Set;uo.add(GraphFeatures.ClickNodeToSelect),uo.add(GraphFeatures.CanvasVerticalScrollable),uo.add(GraphFeatures.CanvasHorizontalScrollable),uo.add(GraphFeatures.LimitBoundary),uo.add(GraphFeatures.InvisibleScrollbar);const[co,fo]=useGraphReducer({data:GraphModel.empty(),settings:{features:uo,graphConfig:lo,canvasBoundaryPadding:{top:0,bottom:TREE_NODE_HEIGHT,left:0,right:TREE_NODE_HEIGHT}}},ao);return reactExports.useEffect(()=>{const{graph:ho,rootIds:po,parentIdLookUp:go}=spansToGraphModel(oo,{collapsedSpanIds:ro});to(go),fo({type:GraphCanvasEvent.SetData,data:ho.selectNodes(vo=>vo.id===po[0])}),io(po[0])},[]),reactExports.useEffect(()=>{const{graph:ho,rootIds:po,parentIdLookUp:go}=spansToGraphModel(oo,{collapsedSpanIds:ro});to(go),fo({type:GraphCanvasEvent.SetData,data:ho.selectNodes(vo=>vo.id===po[0])})},[ro]),reactExports.useEffect(()=>{so&&fo({type:GraphNodeEvent.Select,nodes:[so]})},[so]),jsxRuntimeExports.jsx(SpansTreeContext.Provider,{value:{parentIdLookUp:eo,collapsedSpanIds:ro,setCollapsedSpanIds:no},children:jsxRuntimeExports.jsx(TreeGraph,{state:co,dispatch:fo})})},TraceDetail=()=>{const eo=useClasses$8(),to=useSelectedSpanId(),ro=reactExports.useRef(null),no=useTraceDetailRefreshKey(),oo=useIsGanttChartOpen(),io=useTraceDetailViewStatus(),so=useTraceDetailLoadingComponent(),ao=useTraceDetailErrorComponent(),lo=useLocStrings();return reactExports.useEffect(()=>{var uo;oo&&((uo=ro.current)==null||uo.updateSize({height:400,width:"100%"}))},[oo]),io===ViewStatus.error?jsxRuntimeExports.jsx(ao,{}):io===ViewStatus.loading?jsxRuntimeExports.jsx(so,{}):io===ViewStatus.hidden?null:jsxRuntimeExports.jsxs("div",{className:eo.root,children:[jsxRuntimeExports.jsx("div",{className:eo.container,children:jsxRuntimeExports.jsxs("div",{className:eo.content,children:[jsxRuntimeExports.jsx(Resizable,{enable:{right:!0},minWidth:100,maxWidth:"60%",defaultSize:{width:TREE_NODE_WIDTH+2*TREE_NODE_INDENT+32,height:"100%"},handleComponent:{right:jsxRuntimeExports.jsx("div",{className:eo.resizeBar})},children:jsxRuntimeExports.jsx("div",{className:eo.leftPane,children:jsxRuntimeExports.jsx(TreeView,{},no)})}),jsxRuntimeExports.jsx("div",{className:eo.rightPane,children:jsxRuntimeExports.jsx(NodeDetail,{emptyTip:jsxRuntimeExports.jsx(MessageBar,{intent:"error",children:lo.No_span_data})},no)},`${to}`)]})}),oo&&jsxRuntimeExports.jsx("div",{className:eo.bottomPane,children:jsxRuntimeExports.jsx(Resizable,{ref:ro,className:eo.ganttContainer,defaultSize:{height:0,width:"100%"},enable:{top:!0},handleComponent:{top:jsxRuntimeExports.jsx("div",{className:eo.resizeBarBottom})},children:jsxRuntimeExports.jsx(GanttView,{},no)})})]})},useClasses$8=makeStyles({root:{width:"100%",height:"100%"},container:{display:"flex",flexDirection:"column",height:"100%",width:"100%"},summary:{display:"flex",alignItems:"stretch",height:"48px",width:"100%",...shorthands.margin("16px"),...shorthands.gap("1rem")},content:{...shorthands.flex(1),display:"flex"},leftPane:{height:"100%",...shorthands.margin("16px",0,0,"16px")},rightPane:{position:"relative",width:"100%",height:"100%",...shorthands.flex(1),...shorthands.overflow("hidden")},bottomPane:{position:"absolute",backgroundColor:tokens.colorNeutralBackground1,bottom:0,width:"100%"},ganttContainer:{...shorthands.padding("16px")},resizeBar:{position:"absolute",top:0,bottom:0,right:"5px",width:"6px",backgroundColor:tokens.colorNeutralBackground3,"::before":{content:"''",position:"absolute",top:"50%",right:"1px",marginTop:"-12px",height:"24px",width:"1px",backgroundColor:tokens.colorNeutralBackground3Pressed},"::after":{content:"''",position:"absolute",top:"50%",left:"1px",marginTop:"-12px",height:"24px",width:"1px",backgroundColor:tokens.colorNeutralBackground3Pressed}},resizeBarBottom:{position:"absolute",left:0,right:0,bottom:"5px",height:"6px",backgroundColor:tokens.colorNeutralBackground3,"::before":{content:"''",position:"absolute",left:"50%",bottom:"1px",marginLeft:"-12px",width:"24px",height:"1px",backgroundColor:tokens.colorNeutralBackground3Pressed},"::after":{content:"''",position:"absolute",left:"50%",top:"1px",marginLeft:"-12px",width:"24px",height:"1px",backgroundColor:tokens.colorNeutralBackground3Pressed}}});let Text$1=class f_{lineAt(to){if(to<0||to>this.length)throw new RangeError(`Invalid position ${to} in document of length ${this.length}`);return this.lineInner(to,!1,1,0)}line(to){if(to<1||to>this.lines)throw new RangeError(`Invalid line number ${to} in ${this.lines}-line document`);return this.lineInner(to,!0,1,0)}replace(to,ro,no){[to,ro]=clip(this,to,ro);let oo=[];return this.decompose(0,to,oo,2),no.length&&no.decompose(0,no.length,oo,3),this.decompose(ro,this.length,oo,1),TextNode.from(oo,this.length-(ro-to)+no.length)}append(to){return this.replace(this.length,this.length,to)}slice(to,ro=this.length){[to,ro]=clip(this,to,ro);let no=[];return this.decompose(to,ro,no,0),TextNode.from(no,ro-to)}eq(to){if(to==this)return!0;if(to.length!=this.length||to.lines!=this.lines)return!1;let ro=this.scanIdentical(to,1),no=this.length-this.scanIdentical(to,-1),oo=new RawTextCursor(this),io=new RawTextCursor(to);for(let so=ro,ao=ro;;){if(oo.next(so),io.next(so),so=0,oo.lineBreak!=io.lineBreak||oo.done!=io.done||oo.value!=io.value)return!1;if(ao+=oo.value.length,oo.done||ao>=no)return!0}}iter(to=1){return new RawTextCursor(this,to)}iterRange(to,ro=this.length){return new PartialTextCursor(this,to,ro)}iterLines(to,ro){let no;if(to==null)no=this.iter();else{ro==null&&(ro=this.lines+1);let oo=this.line(to).from;no=this.iterRange(oo,Math.max(oo,ro==this.lines+1?this.length:ro<=1?0:this.line(ro-1).to))}return new LineCursor(no)}toString(){return this.sliceString(0)}toJSON(){let to=[];return this.flatten(to),to}constructor(){}static of(to){if(to.length==0)throw new RangeError("A document must have at least one line");return to.length==1&&!to[0]?f_.empty:to.length<=32?new TextLeaf(to):TextNode.from(TextLeaf.split(to,[]))}};class TextLeaf extends Text$1{constructor(to,ro=textLength(to)){super(),this.text=to,this.length=ro}get lines(){return this.text.length}get children(){return null}lineInner(to,ro,no,oo){for(let io=0;;io++){let so=this.text[io],ao=oo+so.length;if((ro?no:ao)>=to)return new Line(oo,ao,no,so);oo=ao+1,no++}}decompose(to,ro,no,oo){let io=to<=0&&ro>=this.length?this:new TextLeaf(sliceText(this.text,to,ro),Math.min(ro,this.length)-Math.max(0,to));if(oo&1){let so=no.pop(),ao=appendText(io.text,so.text.slice(),0,io.length);if(ao.length<=32)no.push(new TextLeaf(ao,so.length+io.length));else{let lo=ao.length>>1;no.push(new TextLeaf(ao.slice(0,lo)),new TextLeaf(ao.slice(lo)))}}else no.push(io)}replace(to,ro,no){if(!(no instanceof TextLeaf))return super.replace(to,ro,no);[to,ro]=clip(this,to,ro);let oo=appendText(this.text,appendText(no.text,sliceText(this.text,0,to)),ro),io=this.length+no.length-(ro-to);return oo.length<=32?new TextLeaf(oo,io):TextNode.from(TextLeaf.split(oo,[]),io)}sliceString(to,ro=this.length,no=`
+`){[to,ro]=clip(this,to,ro);let oo="";for(let io=0,so=0;io<=ro&&so<this.text.length;so++){let ao=this.text[so],lo=io+ao.length;io>to&&so&&(oo+=no),to<lo&&ro>io&&(oo+=ao.slice(Math.max(0,to-io),ro-io)),io=lo+1}return oo}flatten(to){for(let ro of this.text)to.push(ro)}scanIdentical(){return 0}static split(to,ro){let no=[],oo=-1;for(let io of to)no.push(io),oo+=io.length+1,no.length==32&&(ro.push(new TextLeaf(no,oo)),no=[],oo=-1);return oo>-1&&ro.push(new TextLeaf(no,oo)),ro}}class TextNode extends Text$1{constructor(to,ro){super(),this.children=to,this.length=ro,this.lines=0;for(let no of to)this.lines+=no.lines}lineInner(to,ro,no,oo){for(let io=0;;io++){let so=this.children[io],ao=oo+so.length,lo=no+so.lines-1;if((ro?lo:ao)>=to)return so.lineInner(to,ro,no,oo);oo=ao+1,no=lo+1}}decompose(to,ro,no,oo){for(let io=0,so=0;so<=ro&&io<this.children.length;io++){let ao=this.children[io],lo=so+ao.length;if(to<=lo&&ro>=so){let uo=oo&((so<=to?1:0)|(lo>=ro?2:0));so>=to&&lo<=ro&&!uo?no.push(ao):ao.decompose(to-so,ro-so,no,uo)}so=lo+1}}replace(to,ro,no){if([to,ro]=clip(this,to,ro),no.lines<this.lines)for(let oo=0,io=0;oo<this.children.length;oo++){let so=this.children[oo],ao=io+so.length;if(to>=io&&ro<=ao){let lo=so.replace(to-io,ro-io,no),uo=this.lines-so.lines+lo.lines;if(lo.lines<uo>>4&&lo.lines>uo>>6){let co=this.children.slice();return co[oo]=lo,new TextNode(co,this.length-(ro-to)+no.length)}return super.replace(io,ao,lo)}io=ao+1}return super.replace(to,ro,no)}sliceString(to,ro=this.length,no=`
+`){[to,ro]=clip(this,to,ro);let oo="";for(let io=0,so=0;io<this.children.length&&so<=ro;io++){let ao=this.children[io],lo=so+ao.length;so>to&&io&&(oo+=no),to<lo&&ro>so&&(oo+=ao.sliceString(to-so,ro-so,no)),so=lo+1}return oo}flatten(to){for(let ro of this.children)ro.flatten(to)}scanIdentical(to,ro){if(!(to instanceof TextNode))return 0;let no=0,[oo,io,so,ao]=ro>0?[0,0,this.children.length,to.children.length]:[this.children.length-1,to.children.length-1,-1,-1];for(;;oo+=ro,io+=ro){if(oo==so||io==ao)return no;let lo=this.children[oo],uo=to.children[io];if(lo!=uo)return no+lo.scanIdentical(uo,ro);no+=lo.length+1}}static from(to,ro=to.reduce((no,oo)=>no+oo.length+1,-1)){let no=0;for(let po of to)no+=po.lines;if(no<32){let po=[];for(let go of to)go.flatten(po);return new TextLeaf(po,ro)}let oo=Math.max(32,no>>5),io=oo<<1,so=oo>>1,ao=[],lo=0,uo=-1,co=[];function fo(po){let go;if(po.lines>io&&po instanceof TextNode)for(let vo of po.children)fo(vo);else po.lines>so&&(lo>so||!lo)?(ho(),ao.push(po)):po instanceof TextLeaf&&lo&&(go=co[co.length-1])instanceof TextLeaf&&po.lines+go.lines<=32?(lo+=po.lines,uo+=po.length+1,co[co.length-1]=new TextLeaf(go.text.concat(po.text),go.length+1+po.length)):(lo+po.lines>oo&&ho(),lo+=po.lines,uo+=po.length+1,co.push(po))}function ho(){lo!=0&&(ao.push(co.length==1?co[0]:TextNode.from(co,uo)),uo=-1,lo=co.length=0)}for(let po of to)fo(po);return ho(),ao.length==1?ao[0]:new TextNode(ao,ro)}}Text$1.empty=new TextLeaf([""],0);function textLength(eo){let to=-1;for(let ro of eo)to+=ro.length+1;return to}function appendText(eo,to,ro=0,no=1e9){for(let oo=0,io=0,so=!0;io<eo.length&&oo<=no;io++){let ao=eo[io],lo=oo+ao.length;lo>=ro&&(lo>no&&(ao=ao.slice(0,no-oo)),oo<ro&&(ao=ao.slice(ro-oo)),so?(to[to.length-1]+=ao,so=!1):to.push(ao)),oo=lo+1}return to}function sliceText(eo,to,ro){return appendText(eo,[""],to,ro)}class RawTextCursor{constructor(to,ro=1){this.dir=ro,this.done=!1,this.lineBreak=!1,this.value="",this.nodes=[to],this.offsets=[ro>0?1:(to instanceof TextLeaf?to.text.length:to.children.length)<<1]}nextInner(to,ro){for(this.done=this.lineBreak=!1;;){let no=this.nodes.length-1,oo=this.nodes[no],io=this.offsets[no],so=io>>1,ao=oo instanceof TextLeaf?oo.text.length:oo.children.length;if(so==(ro>0?ao:0)){if(no==0)return this.done=!0,this.value="",this;ro>0&&this.offsets[no-1]++,this.nodes.pop(),this.offsets.pop()}else if((io&1)==(ro>0?0:1)){if(this.offsets[no]+=ro,to==0)return this.lineBreak=!0,this.value=`
+`,this;to--}else if(oo instanceof TextLeaf){let lo=oo.text[so+(ro<0?-1:0)];if(this.offsets[no]+=ro,lo.length>Math.max(0,to))return this.value=to==0?lo:ro>0?lo.slice(to):lo.slice(0,lo.length-to),this;to-=lo.length}else{let lo=oo.children[so+(ro<0?-1:0)];to>lo.length?(to-=lo.length,this.offsets[no]+=ro):(ro<0&&this.offsets[no]--,this.nodes.push(lo),this.offsets.push(ro>0?1:(lo instanceof TextLeaf?lo.text.length:lo.children.length)<<1))}}}next(to=0){return to<0&&(this.nextInner(-to,-this.dir),to=this.value.length),this.nextInner(to,this.dir)}}class PartialTextCursor{constructor(to,ro,no){this.value="",this.done=!1,this.cursor=new RawTextCursor(to,ro>no?-1:1),this.pos=ro>no?to.length:0,this.from=Math.min(ro,no),this.to=Math.max(ro,no)}nextInner(to,ro){if(ro<0?this.pos<=this.from:this.pos>=this.to)return this.value="",this.done=!0,this;to+=Math.max(0,ro<0?this.pos-this.to:this.from-this.pos);let no=ro<0?this.pos-this.from:this.to-this.pos;to>no&&(to=no),no-=to;let{value:oo}=this.cursor.next(to);return this.pos+=(oo.length+to)*ro,this.value=oo.length<=no?oo:ro<0?oo.slice(oo.length-no):oo.slice(0,no),this.done=!this.value,this}next(to=0){return to<0?to=Math.max(to,this.from-this.pos):to>0&&(to=Math.min(to,this.to-this.pos)),this.nextInner(to,this.cursor.dir)}get lineBreak(){return this.cursor.lineBreak&&this.value!=""}}class LineCursor{constructor(to){this.inner=to,this.afterBreak=!0,this.value="",this.done=!1}next(to=0){let{done:ro,lineBreak:no,value:oo}=this.inner.next(to);return ro&&this.afterBreak?(this.value="",this.afterBreak=!1):ro?(this.done=!0,this.value=""):no?this.afterBreak?this.value="":(this.afterBreak=!0,this.next()):(this.value=oo,this.afterBreak=!1),this}get lineBreak(){return!1}}typeof Symbol<"u"&&(Text$1.prototype[Symbol.iterator]=function(){return 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eo=1;eo<extend.length;eo++)extend[eo]+=extend[eo-1];function isExtendingChar(eo){for(let to=1;to<extend.length;to+=2)if(extend[to]>eo)return extend[to-1]<=eo;return!1}function isRegionalIndicator(eo){return eo>=127462&&eo<=127487}const ZWJ=8205;function findClusterBreak(eo,to,ro=!0,no=!0){return(ro?nextClusterBreak:prevClusterBreak)(eo,to,no)}function nextClusterBreak(eo,to,ro){if(to==eo.length)return to;to&&surrogateLow(eo.charCodeAt(to))&&surrogateHigh(eo.charCodeAt(to-1))&&to--;let no=codePointAt(eo,to);for(to+=codePointSize(no);to<eo.length;){let oo=codePointAt(eo,to);if(no==ZWJ||oo==ZWJ||ro&&isExtendingChar(oo))to+=codePointSize(oo),no=oo;else if(isRegionalIndicator(oo)){let io=0,so=to-2;for(;so>=0&&isRegionalIndicator(codePointAt(eo,so));)io++,so-=2;if(io%2==0)break;to+=2}else break}return to}function prevClusterBreak(eo,to,ro){for(;to>0;){let no=nextClusterBreak(eo,to-2,ro);if(no<to)return no;to--}return 0}function surrogateLow(eo){return eo>=56320&&eo<57344}function surrogateHigh(eo){return eo>=55296&&eo<56320}function codePointAt(eo,to){let ro=eo.charCodeAt(to);if(!surrogateHigh(ro)||to+1==eo.length)return ro;let no=eo.charCodeAt(to+1);return surrogateLow(no)?(ro-55296<<10)+(no-56320)+65536:ro}function fromCodePoint(eo){return eo<=65535?String.fromCharCode(eo):(eo-=65536,String.fromCharCode((eo>>10)+55296,(eo&1023)+56320))}function codePointSize(eo){return eo<65536?1:2}const DefaultSplit=/\r\n?|\n/;var MapMode=function(eo){return eo[eo.Simple=0]="Simple",eo[eo.TrackDel=1]="TrackDel",eo[eo.TrackBefore=2]="TrackBefore",eo[eo.TrackAfter=3]="TrackAfter",eo}(MapMode||(MapMode={}));class ChangeDesc{constructor(to){this.sections=to}get length(){let to=0;for(let ro=0;ro<this.sections.length;ro+=2)to+=this.sections[ro];return to}get newLength(){let to=0;for(let ro=0;ro<this.sections.length;ro+=2){let no=this.sections[ro+1];to+=no<0?this.sections[ro]:no}return to}get empty(){return this.sections.length==0||this.sections.length==2&&this.sections[1]<0}iterGaps(to){for(let ro=0,no=0,oo=0;ro<this.sections.length;){let io=this.sections[ro++],so=this.sections[ro++];so<0?(to(no,oo,io),oo+=io):oo+=so,no+=io}}iterChangedRanges(to,ro=!1){iterChanges(this,to,ro)}get invertedDesc(){let to=[];for(let ro=0;ro<this.sections.length;){let no=this.sections[ro++],oo=this.sections[ro++];oo<0?to.push(no,oo):to.push(oo,no)}return new ChangeDesc(to)}composeDesc(to){return this.empty?to:to.empty?this:composeSets(this,to)}mapDesc(to,ro=!1){return to.empty?this:mapSet(this,to,ro)}mapPos(to,ro=-1,no=MapMode.Simple){let oo=0,io=0;for(let so=0;so<this.sections.length;){let ao=this.sections[so++],lo=this.sections[so++],uo=oo+ao;if(lo<0){if(uo>to)return io+(to-oo);io+=ao}else{if(no!=MapMode.Simple&&uo>=to&&(no==MapMode.TrackDel&&oo<to&&uo>to||no==MapMode.TrackBefore&&oo<to||no==MapMode.TrackAfter&&uo>to))return null;if(uo>to||uo==to&&ro<0&&!ao)return to==oo||ro<0?io:io+lo;io+=lo}oo=uo}if(to>oo)throw new RangeError(`Position ${to} is out of range for changeset of length ${oo}`);return io}touchesRange(to,ro=to){for(let no=0,oo=0;no<this.sections.length&&oo<=ro;){let io=this.sections[no++],so=this.sections[no++],ao=oo+io;if(so>=0&&oo<=ro&&ao>=to)return oo<to&&ao>ro?"cover":!0;oo=ao}return!1}toString(){let to="";for(let ro=0;ro<this.sections.length;){let no=this.sections[ro++],oo=this.sections[ro++];to+=(to?" ":"")+no+(oo>=0?":"+oo:"")}return to}toJSON(){return this.sections}static fromJSON(to){if(!Array.isArray(to)||to.length%2||to.some(ro=>typeof ro!="number"))throw new RangeError("Invalid JSON representation of ChangeDesc");return new ChangeDesc(to)}static create(to){return new ChangeDesc(to)}}class ChangeSet extends ChangeDesc{constructor(to,ro){super(to),this.inserted=ro}apply(to){if(this.length!=to.length)throw new RangeError("Applying change set to a document with the wrong length");return iterChanges(this,(ro,no,oo,io,so)=>to=to.replace(oo,oo+(no-ro),so),!1),to}mapDesc(to,ro=!1){return mapSet(this,to,ro,!0)}invert(to){let ro=this.sections.slice(),no=[];for(let oo=0,io=0;oo<ro.length;oo+=2){let so=ro[oo],ao=ro[oo+1];if(ao>=0){ro[oo]=ao,ro[oo+1]=so;let lo=oo>>1;for(;no.length<lo;)no.push(Text$1.empty);no.push(so?to.slice(io,io+so):Text$1.empty)}io+=so}return new ChangeSet(ro,no)}compose(to){return this.empty?to:to.empty?this:composeSets(this,to,!0)}map(to,ro=!1){return to.empty?this:mapSet(this,to,ro,!0)}iterChanges(to,ro=!1){iterChanges(this,to,ro)}get desc(){return ChangeDesc.create(this.sections)}filter(to){let ro=[],no=[],oo=[],io=new SectionIter(this);e:for(let so=0,ao=0;;){let lo=so==to.length?1e9:to[so++];for(;ao<lo||ao==lo&&io.len==0;){if(io.done)break e;let co=Math.min(io.len,lo-ao);addSection(oo,co,-1);let fo=io.ins==-1?-1:io.off==0?io.ins:0;addSection(ro,co,fo),fo>0&&addInsert(no,ro,io.text),io.forward(co),ao+=co}let uo=to[so++];for(;ao<uo;){if(io.done)break e;let co=Math.min(io.len,uo-ao);addSection(ro,co,-1),addSection(oo,co,io.ins==-1?-1:io.off==0?io.ins:0),io.forward(co),ao+=co}}return{changes:new ChangeSet(ro,no),filtered:ChangeDesc.create(oo)}}toJSON(){let to=[];for(let ro=0;ro<this.sections.length;ro+=2){let no=this.sections[ro],oo=this.sections[ro+1];oo<0?to.push(no):oo==0?to.push([no]):to.push([no].concat(this.inserted[ro>>1].toJSON()))}return to}static of(to,ro,no){let oo=[],io=[],so=0,ao=null;function lo(co=!1){if(!co&&!oo.length)return;so<ro&&addSection(oo,ro-so,-1);let fo=new ChangeSet(oo,io);ao=ao?ao.compose(fo.map(ao)):fo,oo=[],io=[],so=0}function uo(co){if(Array.isArray(co))for(let fo of co)uo(fo);else if(co instanceof ChangeSet){if(co.length!=ro)throw new RangeError(`Mismatched change set length (got ${co.length}, expected ${ro})`);lo(),ao=ao?ao.compose(co.map(ao)):co}else{let{from:fo,to:ho=fo,insert:po}=co;if(fo>ho||fo<0||ho>ro)throw new RangeError(`Invalid change range ${fo} to ${ho} (in doc of length ${ro})`);let go=po?typeof po=="string"?Text$1.of(po.split(no||DefaultSplit)):po:Text$1.empty,vo=go.length;if(fo==ho&&vo==0)return;fo<so&&lo(),fo>so&&addSection(oo,fo-so,-1),addSection(oo,ho-fo,vo),addInsert(io,oo,go),so=ho}}return uo(to),lo(!ao),ao}static empty(to){return new ChangeSet(to?[to,-1]:[],[])}static fromJSON(to){if(!Array.isArray(to))throw new RangeError("Invalid JSON representation of ChangeSet");let ro=[],no=[];for(let oo=0;oo<to.length;oo++){let io=to[oo];if(typeof io=="number")ro.push(io,-1);else{if(!Array.isArray(io)||typeof io[0]!="number"||io.some((so,ao)=>ao&&typeof so!="string"))throw new RangeError("Invalid JSON representation of ChangeSet");if(io.length==1)ro.push(io[0],0);else{for(;no.length<oo;)no.push(Text$1.empty);no[oo]=Text$1.of(io.slice(1)),ro.push(io[0],no[oo].length)}}}return new ChangeSet(ro,no)}static createSet(to,ro){return new ChangeSet(to,ro)}}function addSection(eo,to,ro,no=!1){if(to==0&&ro<=0)return;let oo=eo.length-2;oo>=0&&ro<=0&&ro==eo[oo+1]?eo[oo]+=to:to==0&&eo[oo]==0?eo[oo+1]+=ro:no?(eo[oo]+=to,eo[oo+1]+=ro):eo.push(to,ro)}function addInsert(eo,to,ro){if(ro.length==0)return;let no=to.length-2>>1;if(no<eo.length)eo[eo.length-1]=eo[eo.length-1].append(ro);else{for(;eo.length<no;)eo.push(Text$1.empty);eo.push(ro)}}function iterChanges(eo,to,ro){let no=eo.inserted;for(let oo=0,io=0,so=0;so<eo.sections.length;){let ao=eo.sections[so++],lo=eo.sections[so++];if(lo<0)oo+=ao,io+=ao;else{let uo=oo,co=io,fo=Text$1.empty;for(;uo+=ao,co+=lo,lo&&no&&(fo=fo.append(no[so-2>>1])),!(ro||so==eo.sections.length||eo.sections[so+1]<0);)ao=eo.sections[so++],lo=eo.sections[so++];to(oo,uo,io,co,fo),oo=uo,io=co}}}function mapSet(eo,to,ro,no=!1){let oo=[],io=no?[]:null,so=new SectionIter(eo),ao=new SectionIter(to);for(let lo=-1;;)if(so.ins==-1&&ao.ins==-1){let uo=Math.min(so.len,ao.len);addSection(oo,uo,-1),so.forward(uo),ao.forward(uo)}else if(ao.ins>=0&&(so.ins<0||lo==so.i||so.off==0&&(ao.len<so.len||ao.len==so.len&&!ro))){let uo=ao.len;for(addSection(oo,ao.ins,-1);uo;){let co=Math.min(so.len,uo);so.ins>=0&&lo<so.i&&so.len<=co&&(addSection(oo,0,so.ins),io&&addInsert(io,oo,so.text),lo=so.i),so.forward(co),uo-=co}ao.next()}else if(so.ins>=0){let uo=0,co=so.len;for(;co;)if(ao.ins==-1){let fo=Math.min(co,ao.len);uo+=fo,co-=fo,ao.forward(fo)}else if(ao.ins==0&&ao.len<co)co-=ao.len,ao.next();else break;addSection(oo,uo,lo<so.i?so.ins:0),io&&lo<so.i&&addInsert(io,oo,so.text),lo=so.i,so.forward(so.len-co)}else{if(so.done&&ao.done)return io?ChangeSet.createSet(oo,io):ChangeDesc.create(oo);throw new Error("Mismatched change set lengths")}}function composeSets(eo,to,ro=!1){let no=[],oo=ro?[]:null,io=new SectionIter(eo),so=new SectionIter(to);for(let ao=!1;;){if(io.done&&so.done)return oo?ChangeSet.createSet(no,oo):ChangeDesc.create(no);if(io.ins==0)addSection(no,io.len,0,ao),io.next();else if(so.len==0&&!so.done)addSection(no,0,so.ins,ao),oo&&addInsert(oo,no,so.text),so.next();else{if(io.done||so.done)throw new Error("Mismatched change set lengths");{let lo=Math.min(io.len2,so.len),uo=no.length;if(io.ins==-1){let co=so.ins==-1?-1:so.off?0:so.ins;addSection(no,lo,co,ao),oo&&co&&addInsert(oo,no,so.text)}else so.ins==-1?(addSection(no,io.off?0:io.len,lo,ao),oo&&addInsert(oo,no,io.textBit(lo))):(addSection(no,io.off?0:io.len,so.off?0:so.ins,ao),oo&&!so.off&&addInsert(oo,no,so.text));ao=(io.ins>lo||so.ins>=0&&so.len>lo)&&(ao||no.length>uo),io.forward2(lo),so.forward(lo)}}}}class SectionIter{constructor(to){this.set=to,this.i=0,this.next()}next(){let{sections:to}=this.set;this.i<to.length?(this.len=to[this.i++],this.ins=to[this.i++]):(this.len=0,this.ins=-2),this.off=0}get done(){return this.ins==-2}get len2(){return this.ins<0?this.len:this.ins}get text(){let{inserted:to}=this.set,ro=this.i-2>>1;return ro>=to.length?Text$1.empty:to[ro]}textBit(to){let{inserted:ro}=this.set,no=this.i-2>>1;return no>=ro.length&&!to?Text$1.empty:ro[no].slice(this.off,to==null?void 0:this.off+to)}forward(to){to==this.len?this.next():(this.len-=to,this.off+=to)}forward2(to){this.ins==-1?this.forward(to):to==this.ins?this.next():(this.ins-=to,this.off+=to)}}class SelectionRange{constructor(to,ro,no){this.from=to,this.to=ro,this.flags=no}get anchor(){return this.flags&32?this.to:this.from}get head(){return this.flags&32?this.from:this.to}get empty(){return this.from==this.to}get assoc(){return this.flags&8?-1:this.flags&16?1:0}get bidiLevel(){let to=this.flags&7;return to==7?null:to}get goalColumn(){let to=this.flags>>6;return to==16777215?void 0:to}map(to,ro=-1){let no,oo;return this.empty?no=oo=to.mapPos(this.from,ro):(no=to.mapPos(this.from,1),oo=to.mapPos(this.to,-1)),no==this.from&&oo==this.to?this:new SelectionRange(no,oo,this.flags)}extend(to,ro=to){if(to<=this.anchor&&ro>=this.anchor)return EditorSelection.range(to,ro);let no=Math.abs(to-this.anchor)>Math.abs(ro-this.anchor)?to:ro;return EditorSelection.range(this.anchor,no)}eq(to,ro=!1){return this.anchor==to.anchor&&this.head==to.head&&(!ro||!this.empty||this.assoc==to.assoc)}toJSON(){return{anchor:this.anchor,head:this.head}}static fromJSON(to){if(!to||typeof to.anchor!="number"||typeof to.head!="number")throw new RangeError("Invalid JSON representation for SelectionRange");return EditorSelection.range(to.anchor,to.head)}static create(to,ro,no){return new SelectionRange(to,ro,no)}}class EditorSelection{constructor(to,ro){this.ranges=to,this.mainIndex=ro}map(to,ro=-1){return to.empty?this:EditorSelection.create(this.ranges.map(no=>no.map(to,ro)),this.mainIndex)}eq(to,ro=!1){if(this.ranges.length!=to.ranges.length||this.mainIndex!=to.mainIndex)return!1;for(let no=0;no<this.ranges.length;no++)if(!this.ranges[no].eq(to.ranges[no],ro))return!1;return!0}get main(){return this.ranges[this.mainIndex]}asSingle(){return this.ranges.length==1?this:new EditorSelection([this.main],0)}addRange(to,ro=!0){return EditorSelection.create([to].concat(this.ranges),ro?0:this.mainIndex+1)}replaceRange(to,ro=this.mainIndex){let no=this.ranges.slice();return no[ro]=to,EditorSelection.create(no,this.mainIndex)}toJSON(){return{ranges:this.ranges.map(to=>to.toJSON()),main:this.mainIndex}}static fromJSON(to){if(!to||!Array.isArray(to.ranges)||typeof to.main!="number"||to.main>=to.ranges.length)throw new RangeError("Invalid JSON representation for EditorSelection");return new EditorSelection(to.ranges.map(ro=>SelectionRange.fromJSON(ro)),to.main)}static single(to,ro=to){return new EditorSelection([EditorSelection.range(to,ro)],0)}static create(to,ro=0){if(to.length==0)throw new RangeError("A selection needs at least one range");for(let no=0,oo=0;oo<to.length;oo++){let io=to[oo];if(io.empty?io.from<=no:io.from<no)return EditorSelection.normalized(to.slice(),ro);no=io.to}return new EditorSelection(to,ro)}static cursor(to,ro=0,no,oo){return SelectionRange.create(to,to,(ro==0?0:ro<0?8:16)|(no==null?7:Math.min(6,no))|(oo??16777215)<<6)}static range(to,ro,no,oo){let io=(no??16777215)<<6|(oo==null?7:Math.min(6,oo));return ro<to?SelectionRange.create(ro,to,48|io):SelectionRange.create(to,ro,(ro>to?8:0)|io)}static normalized(to,ro=0){let no=to[ro];to.sort((oo,io)=>oo.from-io.from),ro=to.indexOf(no);for(let oo=1;oo<to.length;oo++){let io=to[oo],so=to[oo-1];if(io.empty?io.from<=so.to:io.from<so.to){let ao=so.from,lo=Math.max(io.to,so.to);oo<=ro&&ro--,to.splice(--oo,2,io.anchor>io.head?EditorSelection.range(lo,ao):EditorSelection.range(ao,lo))}}return new EditorSelection(to,ro)}}function checkSelection(eo,to){for(let ro of eo.ranges)if(ro.to>to)throw new RangeError("Selection points outside of document")}let nextID=0;class Facet{constructor(to,ro,no,oo,io){this.combine=to,this.compareInput=ro,this.compare=no,this.isStatic=oo,this.id=nextID++,this.default=to([]),this.extensions=typeof io=="function"?io(this):io}get reader(){return this}static define(to={}){return new Facet(to.combine||(ro=>ro),to.compareInput||((ro,no)=>ro===no),to.compare||(to.combine?(ro,no)=>ro===no:sameArray$1),!!to.static,to.enables)}of(to){return new FacetProvider([],this,0,to)}compute(to,ro){if(this.isStatic)throw new Error("Can't compute a static facet");return new FacetProvider(to,this,1,ro)}computeN(to,ro){if(this.isStatic)throw new Error("Can't compute a static facet");return new FacetProvider(to,this,2,ro)}from(to,ro){return ro||(ro=no=>no),this.compute([to],no=>ro(no.field(to)))}}function sameArray$1(eo,to){return eo==to||eo.length==to.length&&eo.every((ro,no)=>ro===to[no])}class FacetProvider{constructor(to,ro,no,oo){this.dependencies=to,this.facet=ro,this.type=no,this.value=oo,this.id=nextID++}dynamicSlot(to){var ro;let no=this.value,oo=this.facet.compareInput,io=this.id,so=to[io]>>1,ao=this.type==2,lo=!1,uo=!1,co=[];for(let fo of this.dependencies)fo=="doc"?lo=!0:fo=="selection"?uo=!0:((ro=to[fo.id])!==null&&ro!==void 0?ro:1)&1||co.push(to[fo.id]);return{create(fo){return fo.values[so]=no(fo),1},update(fo,ho){if(lo&&ho.docChanged||uo&&(ho.docChanged||ho.selection)||ensureAll(fo,co)){let po=no(fo);if(ao?!compareArray(po,fo.values[so],oo):!oo(po,fo.values[so]))return fo.values[so]=po,1}return 0},reconfigure:(fo,ho)=>{let po,go=ho.config.address[io];if(go!=null){let vo=getAddr(ho,go);if(this.dependencies.every(bo=>bo instanceof Facet?ho.facet(bo)===fo.facet(bo):bo instanceof StateField?ho.field(bo,!1)==fo.field(bo,!1):!0)||(ao?compareArray(po=no(fo),vo,oo):oo(po=no(fo),vo)))return fo.values[so]=vo,0}else po=no(fo);return fo.values[so]=po,1}}}}function compareArray(eo,to,ro){if(eo.length!=to.length)return!1;for(let no=0;no<eo.length;no++)if(!ro(eo[no],to[no]))return!1;return!0}function ensureAll(eo,to){let ro=!1;for(let no of to)ensureAddr(eo,no)&1&&(ro=!0);return ro}function dynamicFacetSlot(eo,to,ro){let no=ro.map(lo=>eo[lo.id]),oo=ro.map(lo=>lo.type),io=no.filter(lo=>!(lo&1)),so=eo[to.id]>>1;function ao(lo){let uo=[];for(let co=0;co<no.length;co++){let fo=getAddr(lo,no[co]);if(oo[co]==2)for(let ho of fo)uo.push(ho);else uo.push(fo)}return to.combine(uo)}return{create(lo){for(let uo of no)ensureAddr(lo,uo);return lo.values[so]=ao(lo),1},update(lo,uo){if(!ensureAll(lo,io))return 0;let co=ao(lo);return to.compare(co,lo.values[so])?0:(lo.values[so]=co,1)},reconfigure(lo,uo){let co=ensureAll(lo,no),fo=uo.config.facets[to.id],ho=uo.facet(to);if(fo&&!co&&sameArray$1(ro,fo))return lo.values[so]=ho,0;let po=ao(lo);return to.compare(po,ho)?(lo.values[so]=ho,0):(lo.values[so]=po,1)}}}const initField=Facet.define({static:!0});class StateField{constructor(to,ro,no,oo,io){this.id=to,this.createF=ro,this.updateF=no,this.compareF=oo,this.spec=io,this.provides=void 0}static define(to){let ro=new StateField(nextID++,to.create,to.update,to.compare||((no,oo)=>no===oo),to);return to.provide&&(ro.provides=to.provide(ro)),ro}create(to){let ro=to.facet(initField).find(no=>no.field==this);return((ro==null?void 0:ro.create)||this.createF)(to)}slot(to){let ro=to[this.id]>>1;return{create:no=>(no.values[ro]=this.create(no),1),update:(no,oo)=>{let io=no.values[ro],so=this.updateF(io,oo);return this.compareF(io,so)?0:(no.values[ro]=so,1)},reconfigure:(no,oo)=>oo.config.address[this.id]!=null?(no.values[ro]=oo.field(this),0):(no.values[ro]=this.create(no),1)}}init(to){return[this,initField.of({field:this,create:to})]}get extension(){return this}}const Prec_={lowest:4,low:3,default:2,high:1,highest:0};function prec(eo){return to=>new PrecExtension(to,eo)}const Prec={highest:prec(Prec_.highest),high:prec(Prec_.high),default:prec(Prec_.default),low:prec(Prec_.low),lowest:prec(Prec_.lowest)};class PrecExtension{constructor(to,ro){this.inner=to,this.prec=ro}}class Compartment{of(to){return new CompartmentInstance(this,to)}reconfigure(to){return Compartment.reconfigure.of({compartment:this,extension:to})}get(to){return to.config.compartments.get(this)}}class CompartmentInstance{constructor(to,ro){this.compartment=to,this.inner=ro}}class Configuration{constructor(to,ro,no,oo,io,so){for(this.base=to,this.compartments=ro,this.dynamicSlots=no,this.address=oo,this.staticValues=io,this.facets=so,this.statusTemplate=[];this.statusTemplate.length<no.length;)this.statusTemplate.push(0)}staticFacet(to){let ro=this.address[to.id];return ro==null?to.default:this.staticValues[ro>>1]}static resolve(to,ro,no){let oo=[],io=Object.create(null),so=new Map;for(let ho of flatten(to,ro,so))ho instanceof StateField?oo.push(ho):(io[ho.facet.id]||(io[ho.facet.id]=[])).push(ho);let ao=Object.create(null),lo=[],uo=[];for(let ho of oo)ao[ho.id]=uo.length<<1,uo.push(po=>ho.slot(po));let co=no==null?void 0:no.config.facets;for(let ho in io){let po=io[ho],go=po[0].facet,vo=co&&co[ho]||[];if(po.every(bo=>bo.type==0))if(ao[go.id]=lo.length<<1|1,sameArray$1(vo,po))lo.push(no.facet(go));else{let bo=go.combine(po.map(xo=>xo.value));lo.push(no&&go.compare(bo,no.facet(go))?no.facet(go):bo)}else{for(let bo of po)bo.type==0?(ao[bo.id]=lo.length<<1|1,lo.push(bo.value)):(ao[bo.id]=uo.length<<1,uo.push(xo=>bo.dynamicSlot(xo)));ao[go.id]=uo.length<<1,uo.push(bo=>dynamicFacetSlot(bo,go,po))}}let fo=uo.map(ho=>ho(ao));return new Configuration(to,so,fo,ao,lo,io)}}function flatten(eo,to,ro){let no=[[],[],[],[],[]],oo=new Map;function io(so,ao){let lo=oo.get(so);if(lo!=null){if(lo<=ao)return;let uo=no[lo].indexOf(so);uo>-1&&no[lo].splice(uo,1),so instanceof CompartmentInstance&&ro.delete(so.compartment)}if(oo.set(so,ao),Array.isArray(so))for(let uo of so)io(uo,ao);else if(so instanceof CompartmentInstance){if(ro.has(so.compartment))throw new RangeError("Duplicate use of compartment in extensions");let uo=to.get(so.compartment)||so.inner;ro.set(so.compartment,uo),io(uo,ao)}else if(so instanceof PrecExtension)io(so.inner,so.prec);else if(so instanceof StateField)no[ao].push(so),so.provides&&io(so.provides,ao);else if(so instanceof FacetProvider)no[ao].push(so),so.facet.extensions&&io(so.facet.extensions,Prec_.default);else{let uo=so.extension;if(!uo)throw new Error(`Unrecognized extension value in extension set (${so}). This sometimes happens because multiple instances of @codemirror/state are loaded, breaking instanceof checks.`);io(uo,ao)}}return io(eo,Prec_.default),no.reduce((so,ao)=>so.concat(ao))}function ensureAddr(eo,to){if(to&1)return 2;let ro=to>>1,no=eo.status[ro];if(no==4)throw new Error("Cyclic dependency between fields and/or facets");if(no&2)return no;eo.status[ro]=4;let oo=eo.computeSlot(eo,eo.config.dynamicSlots[ro]);return eo.status[ro]=2|oo}function getAddr(eo,to){return to&1?eo.config.staticValues[to>>1]:eo.values[to>>1]}const languageData=Facet.define(),allowMultipleSelections=Facet.define({combine:eo=>eo.some(to=>to),static:!0}),lineSeparator=Facet.define({combine:eo=>eo.length?eo[0]:void 0,static:!0}),changeFilter=Facet.define(),transactionFilter=Facet.define(),transactionExtender=Facet.define(),readOnly=Facet.define({combine:eo=>eo.length?eo[0]:!1});class Annotation{constructor(to,ro){this.type=to,this.value=ro}static define(){return new AnnotationType}}class AnnotationType{of(to){return new Annotation(this,to)}}class StateEffectType{constructor(to){this.map=to}of(to){return new StateEffect(this,to)}}class StateEffect{constructor(to,ro){this.type=to,this.value=ro}map(to){let ro=this.type.map(this.value,to);return ro===void 0?void 0:ro==this.value?this:new StateEffect(this.type,ro)}is(to){return this.type==to}static define(to={}){return new StateEffectType(to.map||(ro=>ro))}static mapEffects(to,ro){if(!to.length)return to;let no=[];for(let oo of to){let io=oo.map(ro);io&&no.push(io)}return no}}StateEffect.reconfigure=StateEffect.define();StateEffect.appendConfig=StateEffect.define();class Transaction{constructor(to,ro,no,oo,io,so){this.startState=to,this.changes=ro,this.selection=no,this.effects=oo,this.annotations=io,this.scrollIntoView=so,this._doc=null,this._state=null,no&&checkSelection(no,ro.newLength),io.some(ao=>ao.type==Transaction.time)||(this.annotations=io.concat(Transaction.time.of(Date.now())))}static create(to,ro,no,oo,io,so){return new Transaction(to,ro,no,oo,io,so)}get newDoc(){return this._doc||(this._doc=this.changes.apply(this.startState.doc))}get newSelection(){return this.selection||this.startState.selection.map(this.changes)}get state(){return this._state||this.startState.applyTransaction(this),this._state}annotation(to){for(let ro of this.annotations)if(ro.type==to)return ro.value}get docChanged(){return!this.changes.empty}get reconfigured(){return this.startState.config!=this.state.config}isUserEvent(to){let ro=this.annotation(Transaction.userEvent);return!!(ro&&(ro==to||ro.length>to.length&&ro.slice(0,to.length)==to&&ro[to.length]=="."))}}Transaction.time=Annotation.define();Transaction.userEvent=Annotation.define();Transaction.addToHistory=Annotation.define();Transaction.remote=Annotation.define();function joinRanges(eo,to){let ro=[];for(let no=0,oo=0;;){let io,so;if(no<eo.length&&(oo==to.length||to[oo]>=eo[no]))io=eo[no++],so=eo[no++];else if(oo<to.length)io=to[oo++],so=to[oo++];else return ro;!ro.length||ro[ro.length-1]<io?ro.push(io,so):ro[ro.length-1]<so&&(ro[ro.length-1]=so)}}function mergeTransaction(eo,to,ro){var no;let oo,io,so;return ro?(oo=to.changes,io=ChangeSet.empty(to.changes.length),so=eo.changes.compose(to.changes)):(oo=to.changes.map(eo.changes),io=eo.changes.mapDesc(to.changes,!0),so=eo.changes.compose(oo)),{changes:so,selection:to.selection?to.selection.map(io):(no=eo.selection)===null||no===void 0?void 0:no.map(oo),effects:StateEffect.mapEffects(eo.effects,oo).concat(StateEffect.mapEffects(to.effects,io)),annotations:eo.annotations.length?eo.annotations.concat(to.annotations):to.annotations,scrollIntoView:eo.scrollIntoView||to.scrollIntoView}}function resolveTransactionInner(eo,to,ro){let no=to.selection,oo=asArray$1(to.annotations);return to.userEvent&&(oo=oo.concat(Transaction.userEvent.of(to.userEvent))),{changes:to.changes instanceof ChangeSet?to.changes:ChangeSet.of(to.changes||[],ro,eo.facet(lineSeparator)),selection:no&&(no instanceof EditorSelection?no:EditorSelection.single(no.anchor,no.head)),effects:asArray$1(to.effects),annotations:oo,scrollIntoView:!!to.scrollIntoView}}function resolveTransaction(eo,to,ro){let no=resolveTransactionInner(eo,to.length?to[0]:{},eo.doc.length);to.length&&to[0].filter===!1&&(ro=!1);for(let io=1;io<to.length;io++){to[io].filter===!1&&(ro=!1);let so=!!to[io].sequential;no=mergeTransaction(no,resolveTransactionInner(eo,to[io],so?no.changes.newLength:eo.doc.length),so)}let oo=Transaction.create(eo,no.changes,no.selection,no.effects,no.annotations,no.scrollIntoView);return extendTransaction(ro?filterTransaction(oo):oo)}function filterTransaction(eo){let to=eo.startState,ro=!0;for(let oo of to.facet(changeFilter)){let io=oo(eo);if(io===!1){ro=!1;break}Array.isArray(io)&&(ro=ro===!0?io:joinRanges(ro,io))}if(ro!==!0){let oo,io;if(ro===!1)io=eo.changes.invertedDesc,oo=ChangeSet.empty(to.doc.length);else{let so=eo.changes.filter(ro);oo=so.changes,io=so.filtered.mapDesc(so.changes).invertedDesc}eo=Transaction.create(to,oo,eo.selection&&eo.selection.map(io),StateEffect.mapEffects(eo.effects,io),eo.annotations,eo.scrollIntoView)}let no=to.facet(transactionFilter);for(let oo=no.length-1;oo>=0;oo--){let io=no[oo](eo);io instanceof Transaction?eo=io:Array.isArray(io)&&io.length==1&&io[0]instanceof Transaction?eo=io[0]:eo=resolveTransaction(to,asArray$1(io),!1)}return eo}function extendTransaction(eo){let to=eo.startState,ro=to.facet(transactionExtender),no=eo;for(let oo=ro.length-1;oo>=0;oo--){let io=ro[oo](eo);io&&Object.keys(io).length&&(no=mergeTransaction(no,resolveTransactionInner(to,io,eo.changes.newLength),!0))}return no==eo?eo:Transaction.create(to,eo.changes,eo.selection,no.effects,no.annotations,no.scrollIntoView)}const none$2=[];function asArray$1(eo){return eo==null?none$2:Array.isArray(eo)?eo:[eo]}var CharCategory=function(eo){return eo[eo.Word=0]="Word",eo[eo.Space=1]="Space",eo[eo.Other=2]="Other",eo}(CharCategory||(CharCategory={}));const nonASCIISingleCaseWordChar=/[\u00df\u0587\u0590-\u05f4\u0600-\u06ff\u3040-\u309f\u30a0-\u30ff\u3400-\u4db5\u4e00-\u9fcc\uac00-\ud7af]/;let wordChar;try{wordChar=new RegExp("[\\p{Alphabetic}\\p{Number}_]","u")}catch(eo){}function hasWordChar(eo){if(wordChar)return wordChar.test(eo);for(let to=0;to<eo.length;to++){let ro=eo[to];if(/\w/.test(ro)||ro>"€"&&(ro.toUpperCase()!=ro.toLowerCase()||nonASCIISingleCaseWordChar.test(ro)))return!0}return!1}function makeCategorizer(eo){return to=>{if(!/\S/.test(to))return CharCategory.Space;if(hasWordChar(to))return CharCategory.Word;for(let ro=0;ro<eo.length;ro++)if(to.indexOf(eo[ro])>-1)return CharCategory.Word;return CharCategory.Other}}class EditorState{constructor(to,ro,no,oo,io,so){this.config=to,this.doc=ro,this.selection=no,this.values=oo,this.status=to.statusTemplate.slice(),this.computeSlot=io,so&&(so._state=this);for(let ao=0;ao<this.config.dynamicSlots.length;ao++)ensureAddr(this,ao<<1);this.computeSlot=null}field(to,ro=!0){let no=this.config.address[to.id];if(no==null){if(ro)throw new RangeError("Field is not present in this state");return}return ensureAddr(this,no),getAddr(this,no)}update(...to){return resolveTransaction(this,to,!0)}applyTransaction(to){let ro=this.config,{base:no,compartments:oo}=ro;for(let ao of to.effects)ao.is(Compartment.reconfigure)?(ro&&(oo=new Map,ro.compartments.forEach((lo,uo)=>oo.set(uo,lo)),ro=null),oo.set(ao.value.compartment,ao.value.extension)):ao.is(StateEffect.reconfigure)?(ro=null,no=ao.value):ao.is(StateEffect.appendConfig)&&(ro=null,no=asArray$1(no).concat(ao.value));let io;ro?io=to.startState.values.slice():(ro=Configuration.resolve(no,oo,this),io=new EditorState(ro,this.doc,this.selection,ro.dynamicSlots.map(()=>null),(lo,uo)=>uo.reconfigure(lo,this),null).values);let so=to.startState.facet(allowMultipleSelections)?to.newSelection:to.newSelection.asSingle();new EditorState(ro,to.newDoc,so,io,(ao,lo)=>lo.update(ao,to),to)}replaceSelection(to){return typeof to=="string"&&(to=this.toText(to)),this.changeByRange(ro=>({changes:{from:ro.from,to:ro.to,insert:to},range:EditorSelection.cursor(ro.from+to.length)}))}changeByRange(to){let ro=this.selection,no=to(ro.ranges[0]),oo=this.changes(no.changes),io=[no.range],so=asArray$1(no.effects);for(let ao=1;ao<ro.ranges.length;ao++){let lo=to(ro.ranges[ao]),uo=this.changes(lo.changes),co=uo.map(oo);for(let ho=0;ho<ao;ho++)io[ho]=io[ho].map(co);let fo=oo.mapDesc(uo,!0);io.push(lo.range.map(fo)),oo=oo.compose(co),so=StateEffect.mapEffects(so,co).concat(StateEffect.mapEffects(asArray$1(lo.effects),fo))}return{changes:oo,selection:EditorSelection.create(io,ro.mainIndex),effects:so}}changes(to=[]){return to instanceof ChangeSet?to:ChangeSet.of(to,this.doc.length,this.facet(EditorState.lineSeparator))}toText(to){return Text$1.of(to.split(this.facet(EditorState.lineSeparator)||DefaultSplit))}sliceDoc(to=0,ro=this.doc.length){return this.doc.sliceString(to,ro,this.lineBreak)}facet(to){let ro=this.config.address[to.id];return ro==null?to.default:(ensureAddr(this,ro),getAddr(this,ro))}toJSON(to){let ro={doc:this.sliceDoc(),selection:this.selection.toJSON()};if(to)for(let no in to){let oo=to[no];oo instanceof StateField&&this.config.address[oo.id]!=null&&(ro[no]=oo.spec.toJSON(this.field(to[no]),this))}return ro}static fromJSON(to,ro={},no){if(!to||typeof to.doc!="string")throw new RangeError("Invalid JSON representation for EditorState");let oo=[];if(no){for(let io in no)if(Object.prototype.hasOwnProperty.call(to,io)){let so=no[io],ao=to[io];oo.push(so.init(lo=>so.spec.fromJSON(ao,lo)))}}return EditorState.create({doc:to.doc,selection:EditorSelection.fromJSON(to.selection),extensions:ro.extensions?oo.concat([ro.extensions]):oo})}static create(to={}){let ro=Configuration.resolve(to.extensions||[],new Map),no=to.doc instanceof Text$1?to.doc:Text$1.of((to.doc||"").split(ro.staticFacet(EditorState.lineSeparator)||DefaultSplit)),oo=to.selection?to.selection instanceof EditorSelection?to.selection:EditorSelection.single(to.selection.anchor,to.selection.head):EditorSelection.single(0);return checkSelection(oo,no.length),ro.staticFacet(allowMultipleSelections)||(oo=oo.asSingle()),new EditorState(ro,no,oo,ro.dynamicSlots.map(()=>null),(io,so)=>so.create(io),null)}get tabSize(){return this.facet(EditorState.tabSize)}get lineBreak(){return this.facet(EditorState.lineSeparator)||`
+`}get readOnly(){return this.facet(readOnly)}phrase(to,...ro){for(let no of this.facet(EditorState.phrases))if(Object.prototype.hasOwnProperty.call(no,to)){to=no[to];break}return ro.length&&(to=to.replace(/\$(\$|\d*)/g,(no,oo)=>{if(oo=="$")return"$";let io=+(oo||1);return!io||io>ro.length?no:ro[io-1]})),to}languageDataAt(to,ro,no=-1){let oo=[];for(let io of this.facet(languageData))for(let so of io(this,ro,no))Object.prototype.hasOwnProperty.call(so,to)&&oo.push(so[to]);return oo}charCategorizer(to){return makeCategorizer(this.languageDataAt("wordChars",to).join(""))}wordAt(to){let{text:ro,from:no,length:oo}=this.doc.lineAt(to),io=this.charCategorizer(to),so=to-no,ao=to-no;for(;so>0;){let lo=findClusterBreak(ro,so,!1);if(io(ro.slice(lo,so))!=CharCategory.Word)break;so=lo}for(;ao<oo;){let lo=findClusterBreak(ro,ao);if(io(ro.slice(ao,lo))!=CharCategory.Word)break;ao=lo}return so==ao?null:EditorSelection.range(so+no,ao+no)}}EditorState.allowMultipleSelections=allowMultipleSelections;EditorState.tabSize=Facet.define({combine:eo=>eo.length?eo[0]:4});EditorState.lineSeparator=lineSeparator;EditorState.readOnly=readOnly;EditorState.phrases=Facet.define({compare(eo,to){let ro=Object.keys(eo),no=Object.keys(to);return ro.length==no.length&&ro.every(oo=>eo[oo]==to[oo])}});EditorState.languageData=languageData;EditorState.changeFilter=changeFilter;EditorState.transactionFilter=transactionFilter;EditorState.transactionExtender=transactionExtender;Compartment.reconfigure=StateEffect.define();function combineConfig(eo,to,ro={}){let no={};for(let oo of eo)for(let io of Object.keys(oo)){let so=oo[io],ao=no[io];if(ao===void 0)no[io]=so;else if(!(ao===so||so===void 0))if(Object.hasOwnProperty.call(ro,io))no[io]=ro[io](ao,so);else throw new Error("Config merge conflict for field "+io)}for(let oo in to)no[oo]===void 0&&(no[oo]=to[oo]);return no}class RangeValue{eq(to){return this==to}range(to,ro=to){return Range$2.create(to,ro,this)}}RangeValue.prototype.startSide=RangeValue.prototype.endSide=0;RangeValue.prototype.point=!1;RangeValue.prototype.mapMode=MapMode.TrackDel;let Range$2=class h_{constructor(to,ro,no){this.from=to,this.to=ro,this.value=no}static create(to,ro,no){return new h_(to,ro,no)}};function cmpRange(eo,to){return eo.from-to.from||eo.value.startSide-to.value.startSide}class Chunk{constructor(to,ro,no,oo){this.from=to,this.to=ro,this.value=no,this.maxPoint=oo}get length(){return this.to[this.to.length-1]}findIndex(to,ro,no,oo=0){let io=no?this.to:this.from;for(let so=oo,ao=io.length;;){if(so==ao)return so;let lo=so+ao>>1,uo=io[lo]-to||(no?this.value[lo].endSide:this.value[lo].startSide)-ro;if(lo==so)return uo>=0?so:ao;uo>=0?ao=lo:so=lo+1}}between(to,ro,no,oo){for(let io=this.findIndex(ro,-1e9,!0),so=this.findIndex(no,1e9,!1,io);io<so;io++)if(oo(this.from[io]+to,this.to[io]+to,this.value[io])===!1)return!1}map(to,ro){let no=[],oo=[],io=[],so=-1,ao=-1;for(let lo=0;lo<this.value.length;lo++){let uo=this.value[lo],co=this.from[lo]+to,fo=this.to[lo]+to,ho,po;if(co==fo){let go=ro.mapPos(co,uo.startSide,uo.mapMode);if(go==null||(ho=po=go,uo.startSide!=uo.endSide&&(po=ro.mapPos(co,uo.endSide),po<ho)))continue}else if(ho=ro.mapPos(co,uo.startSide),po=ro.mapPos(fo,uo.endSide),ho>po||ho==po&&uo.startSide>0&&uo.endSide<=0)continue;(po-ho||uo.endSide-uo.startSide)<0||(so<0&&(so=ho),uo.point&&(ao=Math.max(ao,po-ho)),no.push(uo),oo.push(ho-so),io.push(po-so))}return{mapped:no.length?new Chunk(oo,io,no,ao):null,pos:so}}}class RangeSet{constructor(to,ro,no,oo){this.chunkPos=to,this.chunk=ro,this.nextLayer=no,this.maxPoint=oo}static create(to,ro,no,oo){return new RangeSet(to,ro,no,oo)}get length(){let to=this.chunk.length-1;return to<0?0:Math.max(this.chunkEnd(to),this.nextLayer.length)}get size(){if(this.isEmpty)return 0;let to=this.nextLayer.size;for(let ro of this.chunk)to+=ro.value.length;return to}chunkEnd(to){return this.chunkPos[to]+this.chunk[to].length}update(to){let{add:ro=[],sort:no=!1,filterFrom:oo=0,filterTo:io=this.length}=to,so=to.filter;if(ro.length==0&&!so)return this;if(no&&(ro=ro.slice().sort(cmpRange)),this.isEmpty)return ro.length?RangeSet.of(ro):this;let ao=new LayerCursor(this,null,-1).goto(0),lo=0,uo=[],co=new RangeSetBuilder;for(;ao.value||lo<ro.length;)if(lo<ro.length&&(ao.from-ro[lo].from||ao.startSide-ro[lo].value.startSide)>=0){let fo=ro[lo++];co.addInner(fo.from,fo.to,fo.value)||uo.push(fo)}else ao.rangeIndex==1&&ao.chunkIndex<this.chunk.length&&(lo==ro.length||this.chunkEnd(ao.chunkIndex)<ro[lo].from)&&(!so||oo>this.chunkEnd(ao.chunkIndex)||io<this.chunkPos[ao.chunkIndex])&&co.addChunk(this.chunkPos[ao.chunkIndex],this.chunk[ao.chunkIndex])?ao.nextChunk():((!so||oo>ao.to||io<ao.from||so(ao.from,ao.to,ao.value))&&(co.addInner(ao.from,ao.to,ao.value)||uo.push(Range$2.create(ao.from,ao.to,ao.value))),ao.next());return co.finishInner(this.nextLayer.isEmpty&&!uo.length?RangeSet.empty:this.nextLayer.update({add:uo,filter:so,filterFrom:oo,filterTo:io}))}map(to){if(to.empty||this.isEmpty)return this;let ro=[],no=[],oo=-1;for(let so=0;so<this.chunk.length;so++){let ao=this.chunkPos[so],lo=this.chunk[so],uo=to.touchesRange(ao,ao+lo.length);if(uo===!1)oo=Math.max(oo,lo.maxPoint),ro.push(lo),no.push(to.mapPos(ao));else if(uo===!0){let{mapped:co,pos:fo}=lo.map(ao,to);co&&(oo=Math.max(oo,co.maxPoint),ro.push(co),no.push(fo))}}let io=this.nextLayer.map(to);return ro.length==0?io:new RangeSet(no,ro,io||RangeSet.empty,oo)}between(to,ro,no){if(!this.isEmpty){for(let oo=0;oo<this.chunk.length;oo++){let io=this.chunkPos[oo],so=this.chunk[oo];if(ro>=io&&to<=io+so.length&&so.between(io,to-io,ro-io,no)===!1)return}this.nextLayer.between(to,ro,no)}}iter(to=0){return HeapCursor.from([this]).goto(to)}get isEmpty(){return this.nextLayer==this}static iter(to,ro=0){return HeapCursor.from(to).goto(ro)}static compare(to,ro,no,oo,io=-1){let so=to.filter(fo=>fo.maxPoint>0||!fo.isEmpty&&fo.maxPoint>=io),ao=ro.filter(fo=>fo.maxPoint>0||!fo.isEmpty&&fo.maxPoint>=io),lo=findSharedChunks(so,ao,no),uo=new SpanCursor(so,lo,io),co=new SpanCursor(ao,lo,io);no.iterGaps((fo,ho,po)=>compare(uo,fo,co,ho,po,oo)),no.empty&&no.length==0&&compare(uo,0,co,0,0,oo)}static eq(to,ro,no=0,oo){oo==null&&(oo=999999999);let io=to.filter(co=>!co.isEmpty&&ro.indexOf(co)<0),so=ro.filter(co=>!co.isEmpty&&to.indexOf(co)<0);if(io.length!=so.length)return!1;if(!io.length)return!0;let ao=findSharedChunks(io,so),lo=new SpanCursor(io,ao,0).goto(no),uo=new SpanCursor(so,ao,0).goto(no);for(;;){if(lo.to!=uo.to||!sameValues(lo.active,uo.active)||lo.point&&(!uo.point||!lo.point.eq(uo.point)))return!1;if(lo.to>oo)return!0;lo.next(),uo.next()}}static spans(to,ro,no,oo,io=-1){let so=new SpanCursor(to,null,io).goto(ro),ao=ro,lo=so.openStart;for(;;){let uo=Math.min(so.to,no);if(so.point){let co=so.activeForPoint(so.to),fo=so.pointFrom<ro?co.length+1:so.point.startSide<0?co.length:Math.min(co.length,lo);oo.point(ao,uo,so.point,co,fo,so.pointRank),lo=Math.min(so.openEnd(uo),co.length)}else uo>ao&&(oo.span(ao,uo,so.active,lo),lo=so.openEnd(uo));if(so.to>no)return lo+(so.point&&so.to>no?1:0);ao=so.to,so.next()}}static of(to,ro=!1){let no=new RangeSetBuilder;for(let oo of to instanceof Range$2?[to]:ro?lazySort(to):to)no.add(oo.from,oo.to,oo.value);return no.finish()}static join(to){if(!to.length)return RangeSet.empty;let ro=to[to.length-1];for(let no=to.length-2;no>=0;no--)for(let oo=to[no];oo!=RangeSet.empty;oo=oo.nextLayer)ro=new RangeSet(oo.chunkPos,oo.chunk,ro,Math.max(oo.maxPoint,ro.maxPoint));return ro}}RangeSet.empty=new RangeSet([],[],null,-1);function lazySort(eo){if(eo.length>1)for(let to=eo[0],ro=1;ro<eo.length;ro++){let no=eo[ro];if(cmpRange(to,no)>0)return eo.slice().sort(cmpRange);to=no}return eo}RangeSet.empty.nextLayer=RangeSet.empty;class RangeSetBuilder{finishChunk(to){this.chunks.push(new Chunk(this.from,this.to,this.value,this.maxPoint)),this.chunkPos.push(this.chunkStart),this.chunkStart=-1,this.setMaxPoint=Math.max(this.setMaxPoint,this.maxPoint),this.maxPoint=-1,to&&(this.from=[],this.to=[],this.value=[])}constructor(){this.chunks=[],this.chunkPos=[],this.chunkStart=-1,this.last=null,this.lastFrom=-1e9,this.lastTo=-1e9,this.from=[],this.to=[],this.value=[],this.maxPoint=-1,this.setMaxPoint=-1,this.nextLayer=null}add(to,ro,no){this.addInner(to,ro,no)||(this.nextLayer||(this.nextLayer=new RangeSetBuilder)).add(to,ro,no)}addInner(to,ro,no){let oo=to-this.lastTo||no.startSide-this.last.endSide;if(oo<=0&&(to-this.lastFrom||no.startSide-this.last.startSide)<0)throw new Error("Ranges must be added sorted by `from` position and `startSide`");return oo<0?!1:(this.from.length==250&&this.finishChunk(!0),this.chunkStart<0&&(this.chunkStart=to),this.from.push(to-this.chunkStart),this.to.push(ro-this.chunkStart),this.last=no,this.lastFrom=to,this.lastTo=ro,this.value.push(no),no.point&&(this.maxPoint=Math.max(this.maxPoint,ro-to)),!0)}addChunk(to,ro){if((to-this.lastTo||ro.value[0].startSide-this.last.endSide)<0)return!1;this.from.length&&this.finishChunk(!0),this.setMaxPoint=Math.max(this.setMaxPoint,ro.maxPoint),this.chunks.push(ro),this.chunkPos.push(to);let no=ro.value.length-1;return this.last=ro.value[no],this.lastFrom=ro.from[no]+to,this.lastTo=ro.to[no]+to,!0}finish(){return this.finishInner(RangeSet.empty)}finishInner(to){if(this.from.length&&this.finishChunk(!1),this.chunks.length==0)return to;let ro=RangeSet.create(this.chunkPos,this.chunks,this.nextLayer?this.nextLayer.finishInner(to):to,this.setMaxPoint);return this.from=null,ro}}function findSharedChunks(eo,to,ro){let no=new Map;for(let io of eo)for(let so=0;so<io.chunk.length;so++)io.chunk[so].maxPoint<=0&&no.set(io.chunk[so],io.chunkPos[so]);let oo=new Set;for(let io of to)for(let so=0;so<io.chunk.length;so++){let ao=no.get(io.chunk[so]);ao!=null&&(ro?ro.mapPos(ao):ao)==io.chunkPos[so]&&!(ro!=null&&ro.touchesRange(ao,ao+io.chunk[so].length))&&oo.add(io.chunk[so])}return oo}class LayerCursor{constructor(to,ro,no,oo=0){this.layer=to,this.skip=ro,this.minPoint=no,this.rank=oo}get startSide(){return this.value?this.value.startSide:0}get endSide(){return this.value?this.value.endSide:0}goto(to,ro=-1e9){return this.chunkIndex=this.rangeIndex=0,this.gotoInner(to,ro,!1),this}gotoInner(to,ro,no){for(;this.chunkIndex<this.layer.chunk.length;){let oo=this.layer.chunk[this.chunkIndex];if(!(this.skip&&this.skip.has(oo)||this.layer.chunkEnd(this.chunkIndex)<to||oo.maxPoint<this.minPoint))break;this.chunkIndex++,no=!1}if(this.chunkIndex<this.layer.chunk.length){let oo=this.layer.chunk[this.chunkIndex].findIndex(to-this.layer.chunkPos[this.chunkIndex],ro,!0);(!no||this.rangeIndex<oo)&&this.setRangeIndex(oo)}this.next()}forward(to,ro){(this.to-to||this.endSide-ro)<0&&this.gotoInner(to,ro,!0)}next(){for(;;)if(this.chunkIndex==this.layer.chunk.length){this.from=this.to=1e9,this.value=null;break}else{let to=this.layer.chunkPos[this.chunkIndex],ro=this.layer.chunk[this.chunkIndex],no=to+ro.from[this.rangeIndex];if(this.from=no,this.to=to+ro.to[this.rangeIndex],this.value=ro.value[this.rangeIndex],this.setRangeIndex(this.rangeIndex+1),this.minPoint<0||this.value.point&&this.to-this.from>=this.minPoint)break}}setRangeIndex(to){if(to==this.layer.chunk[this.chunkIndex].value.length){if(this.chunkIndex++,this.skip)for(;this.chunkIndex<this.layer.chunk.length&&this.skip.has(this.layer.chunk[this.chunkIndex]);)this.chunkIndex++;this.rangeIndex=0}else this.rangeIndex=to}nextChunk(){this.chunkIndex++,this.rangeIndex=0,this.next()}compare(to){return this.from-to.from||this.startSide-to.startSide||this.rank-to.rank||this.to-to.to||this.endSide-to.endSide}}class HeapCursor{constructor(to){this.heap=to}static from(to,ro=null,no=-1){let oo=[];for(let io=0;io<to.length;io++)for(let so=to[io];!so.isEmpty;so=so.nextLayer)so.maxPoint>=no&&oo.push(new LayerCursor(so,ro,no,io));return oo.length==1?oo[0]:new HeapCursor(oo)}get startSide(){return this.value?this.value.startSide:0}goto(to,ro=-1e9){for(let no of this.heap)no.goto(to,ro);for(let no=this.heap.length>>1;no>=0;no--)heapBubble(this.heap,no);return this.next(),this}forward(to,ro){for(let no of this.heap)no.forward(to,ro);for(let no=this.heap.length>>1;no>=0;no--)heapBubble(this.heap,no);(this.to-to||this.value.endSide-ro)<0&&this.next()}next(){if(this.heap.length==0)this.from=this.to=1e9,this.value=null,this.rank=-1;else{let to=this.heap[0];this.from=to.from,this.to=to.to,this.value=to.value,this.rank=to.rank,to.value&&to.next(),heapBubble(this.heap,0)}}}function heapBubble(eo,to){for(let ro=eo[to];;){let no=(to<<1)+1;if(no>=eo.length)break;let oo=eo[no];if(no+1<eo.length&&oo.compare(eo[no+1])>=0&&(oo=eo[no+1],no++),ro.compare(oo)<0)break;eo[no]=ro,eo[to]=oo,to=no}}class SpanCursor{constructor(to,ro,no){this.minPoint=no,this.active=[],this.activeTo=[],this.activeRank=[],this.minActive=-1,this.point=null,this.pointFrom=0,this.pointRank=0,this.to=-1e9,this.endSide=0,this.openStart=-1,this.cursor=HeapCursor.from(to,ro,no)}goto(to,ro=-1e9){return this.cursor.goto(to,ro),this.active.length=this.activeTo.length=this.activeRank.length=0,this.minActive=-1,this.to=to,this.endSide=ro,this.openStart=-1,this.next(),this}forward(to,ro){for(;this.minActive>-1&&(this.activeTo[this.minActive]-to||this.active[this.minActive].endSide-ro)<0;)this.removeActive(this.minActive);this.cursor.forward(to,ro)}removeActive(to){remove(this.active,to),remove(this.activeTo,to),remove(this.activeRank,to),this.minActive=findMinIndex(this.active,this.activeTo)}addActive(to){let ro=0,{value:no,to:oo,rank:io}=this.cursor;for(;ro<this.activeRank.length&&(io-this.activeRank[ro]||oo-this.activeTo[ro])>0;)ro++;insert(this.active,ro,no),insert(this.activeTo,ro,oo),insert(this.activeRank,ro,io),to&&insert(to,ro,this.cursor.from),this.minActive=findMinIndex(this.active,this.activeTo)}next(){let to=this.to,ro=this.point;this.point=null;let no=this.openStart<0?[]:null;for(;;){let oo=this.minActive;if(oo>-1&&(this.activeTo[oo]-this.cursor.from||this.active[oo].endSide-this.cursor.startSide)<0){if(this.activeTo[oo]>to){this.to=this.activeTo[oo],this.endSide=this.active[oo].endSide;break}this.removeActive(oo),no&&remove(no,oo)}else if(this.cursor.value)if(this.cursor.from>to){this.to=this.cursor.from,this.endSide=this.cursor.startSide;break}else{let io=this.cursor.value;if(!io.point)this.addActive(no),this.cursor.next();else if(ro&&this.cursor.to==this.to&&this.cursor.from<this.cursor.to)this.cursor.next();else{this.point=io,this.pointFrom=this.cursor.from,this.pointRank=this.cursor.rank,this.to=this.cursor.to,this.endSide=io.endSide,this.cursor.next(),this.forward(this.to,this.endSide);break}}else{this.to=this.endSide=1e9;break}}if(no){this.openStart=0;for(let oo=no.length-1;oo>=0&&no[oo]<to;oo--)this.openStart++}}activeForPoint(to){if(!this.active.length)return this.active;let ro=[];for(let no=this.active.length-1;no>=0&&!(this.activeRank[no]<this.pointRank);no--)(this.activeTo[no]>to||this.activeTo[no]==to&&this.active[no].endSide>=this.point.endSide)&&ro.push(this.active[no]);return ro.reverse()}openEnd(to){let ro=0;for(let no=this.activeTo.length-1;no>=0&&this.activeTo[no]>to;no--)ro++;return ro}}function compare(eo,to,ro,no,oo,io){eo.goto(to),ro.goto(no);let so=no+oo,ao=no,lo=no-to;for(;;){let uo=eo.to+lo-ro.to||eo.endSide-ro.endSide,co=uo<0?eo.to+lo:ro.to,fo=Math.min(co,so);if(eo.point||ro.point?eo.point&&ro.point&&(eo.point==ro.point||eo.point.eq(ro.point))&&sameValues(eo.activeForPoint(eo.to),ro.activeForPoint(ro.to))||io.comparePoint(ao,fo,eo.point,ro.point):fo>ao&&!sameValues(eo.active,ro.active)&&io.compareRange(ao,fo,eo.active,ro.active),co>so)break;ao=co,uo<=0&&eo.next(),uo>=0&&ro.next()}}function sameValues(eo,to){if(eo.length!=to.length)return!1;for(let ro=0;ro<eo.length;ro++)if(eo[ro]!=to[ro]&&!eo[ro].eq(to[ro]))return!1;return!0}function remove(eo,to){for(let ro=to,no=eo.length-1;ro<no;ro++)eo[ro]=eo[ro+1];eo.pop()}function insert(eo,to,ro){for(let no=eo.length-1;no>=to;no--)eo[no+1]=eo[no];eo[to]=ro}function findMinIndex(eo,to){let ro=-1,no=1e9;for(let oo=0;oo<to.length;oo++)(to[oo]-no||eo[oo].endSide-eo[ro].endSide)<0&&(ro=oo,no=to[oo]);return ro}function countColumn(eo,to,ro=eo.length){let no=0;for(let 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navigator<"u"&&/Mac/.test(navigator.platform),ie$1=typeof navigator<"u"&&/MSIE \d|Trident\/(?:[7-9]|\d{2,})\..*rv:(\d+)/.exec(navigator.userAgent);for(var i=0;i<10;i++)base[48+i]=base[96+i]=String(i);for(var i=1;i<=24;i++)base[i+111]="F"+i;for(var i=65;i<=90;i++)base[i]=String.fromCharCode(i+32),shift[i]=String.fromCharCode(i);for(var code in base)shift.hasOwnProperty(code)||(shift[code]=base[code]);function keyName(eo){var to=mac&&eo.metaKey&&eo.shiftKey&&!eo.ctrlKey&&!eo.altKey||ie$1&&eo.shiftKey&&eo.key&&eo.key.length==1||eo.key=="Unidentified",ro=!to&&eo.key||(eo.shiftKey?shift:base)[eo.keyCode]||eo.key||"Unidentified";return ro=="Esc"&&(ro="Escape"),ro=="Del"&&(ro="Delete"),ro=="Left"&&(ro="ArrowLeft"),ro=="Up"&&(ro="ArrowUp"),ro=="Right"&&(ro="ArrowRight"),ro=="Down"&&(ro="ArrowDown"),ro}function getSelection(eo){let to;return eo.nodeType==11?to=eo.getSelection?eo:eo.ownerDocument:to=eo,to.getSelection()}function contains(eo,to){return to?eo==to||eo.contains(to.nodeType!=1?to.parentNode:to):!1}function deepActiveElement(eo){let to=eo.activeElement;for(;to&&to.shadowRoot;)to=to.shadowRoot.activeElement;return to}function hasSelection(eo,to){if(!to.anchorNode)return!1;try{return contains(eo,to.anchorNode)}catch{return!1}}function clientRectsFor(eo){return eo.nodeType==3?textRange(eo,0,eo.nodeValue.length).getClientRects():eo.nodeType==1?eo.getClientRects():[]}function isEquivalentPosition(eo,to,ro,no){return ro?scanFor(eo,to,ro,no,-1)||scanFor(eo,to,ro,no,1):!1}function domIndex(eo){for(var to=0;;to++)if(eo=eo.previousSibling,!eo)return to}function isBlockElement(eo){return eo.nodeType==1&&/^(DIV|P|LI|UL|OL|BLOCKQUOTE|DD|DT|H\d|SECTION|PRE)$/.test(eo.nodeName)}function scanFor(eo,to,ro,no,oo){for(;;){if(eo==ro&&to==no)return!0;if(to==(oo<0?0:maxOffset(eo))){if(eo.nodeName=="DIV")return!1;let io=eo.parentNode;if(!io||io.nodeType!=1)return!1;to=domIndex(eo)+(oo<0?0:1),eo=io}else if(eo.nodeType==1){if(eo=eo.childNodes[to+(oo<0?-1:0)],eo.nodeType==1&&eo.contentEditable=="false")return!1;to=oo<0?maxOffset(eo):0}else return!1}}function maxOffset(eo){return eo.nodeType==3?eo.nodeValue.length:eo.childNodes.length}function flattenRect(eo,to){let ro=to?eo.left:eo.right;return{left:ro,right:ro,top:eo.top,bottom:eo.bottom}}function windowRect(eo){let to=eo.visualViewport;return to?{left:0,right:to.width,top:0,bottom:to.height}:{left:0,right:eo.innerWidth,top:0,bottom:eo.innerHeight}}function getScale(eo,to){let ro=to.width/eo.offsetWidth,no=to.height/eo.offsetHeight;return(ro>.995&&ro<1.005||!isFinite(ro)||Math.abs(to.width-eo.offsetWidth)<1)&&(ro=1),(no>.995&&no<1.005||!isFinite(no)||Math.abs(to.height-eo.offsetHeight)<1)&&(no=1),{scaleX:ro,scaleY:no}}function scrollRectIntoView(eo,to,ro,no,oo,io,so,ao){let lo=eo.ownerDocument,uo=lo.defaultView||window;for(let co=eo,fo=!1;co&&!fo;)if(co.nodeType==1){let ho,po=co==lo.body,go=1,vo=1;if(po)ho=windowRect(uo);else{if(/^(fixed|sticky)$/.test(getComputedStyle(co).position)&&(fo=!0),co.scrollHeight<=co.clientHeight&&co.scrollWidth<=co.clientWidth){co=co.assignedSlot||co.parentNode;continue}let _o=co.getBoundingClientRect();({scaleX:go,scaleY:vo}=getScale(co,_o)),ho={left:_o.left,right:_o.left+co.clientWidth*go,top:_o.top,bottom:_o.top+co.clientHeight*vo}}let bo=0,xo=0;if(oo=="nearest")to.top<ho.top?(xo=-(ho.top-to.top+so),ro>0&&to.bottom>ho.bottom+xo&&(xo=to.bottom-ho.bottom+xo+so)):to.bottom>ho.bottom&&(xo=to.bottom-ho.bottom+so,ro<0&&to.top-xo<ho.top&&(xo=-(ho.top+xo-to.top+so)));else{let _o=to.bottom-to.top,Eo=ho.bottom-ho.top;xo=(oo=="center"&&_o<=Eo?to.top+_o/2-Eo/2:oo=="start"||oo=="center"&&ro<0?to.top-so:to.bottom-Eo+so)-ho.top}if(no=="nearest"?to.left<ho.left?(bo=-(ho.left-to.left+io),ro>0&&to.right>ho.right+bo&&(bo=to.right-ho.right+bo+io)):to.right>ho.right&&(bo=to.right-ho.right+io,ro<0&&to.left<ho.left+bo&&(bo=-(ho.left+bo-to.left+io))):bo=(no=="center"?to.left+(to.right-to.left)/2-(ho.right-ho.left)/2:no=="start"==ao?to.left-io:to.right-(ho.right-ho.left)+io)-ho.left,bo||xo)if(po)uo.scrollBy(bo,xo);else{let _o=0,Eo=0;if(xo){let So=co.scrollTop;co.scrollTop+=xo/vo,Eo=(co.scrollTop-So)*vo}if(bo){let So=co.scrollLeft;co.scrollLeft+=bo/go,_o=(co.scrollLeft-So)*go}to={left:to.left-_o,top:to.top-Eo,right:to.right-_o,bottom:to.bottom-Eo},_o&&Math.abs(_o-bo)<1&&(no="nearest"),Eo&&Math.abs(Eo-xo)<1&&(oo="nearest")}if(po)break;co=co.assignedSlot||co.parentNode}else if(co.nodeType==11)co=co.host;else break}function scrollableParent(eo){let to=eo.ownerDocument;for(let ro=eo.parentNode;ro&&ro!=to.body;)if(ro.nodeType==1){if(ro.scrollHeight>ro.clientHeight||ro.scrollWidth>ro.clientWidth)return ro;ro=ro.assignedSlot||ro.parentNode}else if(ro.nodeType==11)ro=ro.host;else break;return null}class DOMSelectionState{constructor(){this.anchorNode=null,this.anchorOffset=0,this.focusNode=null,this.focusOffset=0}eq(to){return this.anchorNode==to.anchorNode&&this.anchorOffset==to.anchorOffset&&this.focusNode==to.focusNode&&this.focusOffset==to.focusOffset}setRange(to){let{anchorNode:ro,focusNode:no}=to;this.set(ro,Math.min(to.anchorOffset,ro?maxOffset(ro):0),no,Math.min(to.focusOffset,no?maxOffset(no):0))}set(to,ro,no,oo){this.anchorNode=to,this.anchorOffset=ro,this.focusNode=no,this.focusOffset=oo}}let preventScrollSupported=null;function focusPreventScroll(eo){if(eo.setActive)return eo.setActive();if(preventScrollSupported)return eo.focus(preventScrollSupported);let to=[];for(let ro=eo;ro&&(to.push(ro,ro.scrollTop,ro.scrollLeft),ro!=ro.ownerDocument);ro=ro.parentNode);if(eo.focus(preventScrollSupported==null?{get preventScroll(){return preventScrollSupported={preventScroll:!0},!0}}:void 0),!preventScrollSupported){preventScrollSupported=!1;for(let ro=0;ro<to.length;){let no=to[ro++],oo=to[ro++],io=to[ro++];no.scrollTop!=oo&&(no.scrollTop=oo),no.scrollLeft!=io&&(no.scrollLeft=io)}}}let scratchRange;function textRange(eo,to,ro=to){let no=scratchRange||(scratchRange=document.createRange());return no.setEnd(eo,ro),no.setStart(eo,to),no}function dispatchKey(eo,to,ro,no){let oo={key:to,code:to,keyCode:ro,which:ro,cancelable:!0};no&&({altKey:oo.altKey,ctrlKey:oo.ctrlKey,shiftKey:oo.shiftKey,metaKey:oo.metaKey}=no);let io=new KeyboardEvent("keydown",oo);io.synthetic=!0,eo.dispatchEvent(io);let so=new KeyboardEvent("keyup",oo);return so.synthetic=!0,eo.dispatchEvent(so),io.defaultPrevented||so.defaultPrevented}function getRoot(eo){for(;eo;){if(eo&&(eo.nodeType==9||eo.nodeType==11&&eo.host))return eo;eo=eo.assignedSlot||eo.parentNode}return null}function clearAttributes(eo){for(;eo.attributes.length;)eo.removeAttributeNode(eo.attributes[0])}function atElementStart(eo,to){let ro=to.focusNode,no=to.focusOffset;if(!ro||to.anchorNode!=ro||to.anchorOffset!=no)return!1;for(no=Math.min(no,maxOffset(ro));;)if(no){if(ro.nodeType!=1)return!1;let oo=ro.childNodes[no-1];oo.contentEditable=="false"?no--:(ro=oo,no=maxOffset(ro))}else{if(ro==eo)return!0;no=domIndex(ro),ro=ro.parentNode}}function isScrolledToBottom(eo){return eo.scrollTop>Math.max(1,eo.scrollHeight-eo.clientHeight-4)}function textNodeBefore(eo,to){for(let ro=eo,no=to;;){if(ro.nodeType==3&&no>0)return{node:ro,offset:no};if(ro.nodeType==1&&no>0){if(ro.contentEditable=="false")return null;ro=ro.childNodes[no-1],no=maxOffset(ro)}else if(ro.parentNode&&!isBlockElement(ro))no=domIndex(ro),ro=ro.parentNode;else return null}}function textNodeAfter(eo,to){for(let ro=eo,no=to;;){if(ro.nodeType==3&&no<ro.nodeValue.length)return{node:ro,offset:no};if(ro.nodeType==1&&no<ro.childNodes.length){if(ro.contentEditable=="false")return null;ro=ro.childNodes[no],no=0}else if(ro.parentNode&&!isBlockElement(ro))no=domIndex(ro)+1,ro=ro.parentNode;else return null}}class DOMPos{constructor(to,ro,no=!0){this.node=to,this.offset=ro,this.precise=no}static before(to,ro){return new DOMPos(to.parentNode,domIndex(to),ro)}static after(to,ro){return new DOMPos(to.parentNode,domIndex(to)+1,ro)}}const noChildren=[];class ContentView{constructor(){this.parent=null,this.dom=null,this.flags=2}get overrideDOMText(){return null}get posAtStart(){return this.parent?this.parent.posBefore(this):0}get posAtEnd(){return this.posAtStart+this.length}posBefore(to){let ro=this.posAtStart;for(let no of this.children){if(no==to)return ro;ro+=no.length+no.breakAfter}throw new RangeError("Invalid child in posBefore")}posAfter(to){return this.posBefore(to)+to.length}sync(to,ro){if(this.flags&2){let no=this.dom,oo=null,io;for(let so of this.children){if(so.flags&7){if(!so.dom&&(io=oo?oo.nextSibling:no.firstChild)){let ao=ContentView.get(io);(!ao||!ao.parent&&ao.canReuseDOM(so))&&so.reuseDOM(io)}so.sync(to,ro),so.flags&=-8}if(io=oo?oo.nextSibling:no.firstChild,ro&&!ro.written&&ro.node==no&&io!=so.dom&&(ro.written=!0),so.dom.parentNode==no)for(;io&&io!=so.dom;)io=rm$1(io);else no.insertBefore(so.dom,io);oo=so.dom}for(io=oo?oo.nextSibling:no.firstChild,io&&ro&&ro.node==no&&(ro.written=!0);io;)io=rm$1(io)}else if(this.flags&1)for(let no of this.children)no.flags&7&&(no.sync(to,ro),no.flags&=-8)}reuseDOM(to){}localPosFromDOM(to,ro){let no;if(to==this.dom)no=this.dom.childNodes[ro];else{let oo=maxOffset(to)==0?0:ro==0?-1:1;for(;;){let io=to.parentNode;if(io==this.dom)break;oo==0&&io.firstChild!=io.lastChild&&(to==io.firstChild?oo=-1:oo=1),to=io}oo<0?no=to:no=to.nextSibling}if(no==this.dom.firstChild)return 0;for(;no&&!ContentView.get(no);)no=no.nextSibling;if(!no)return this.length;for(let oo=0,io=0;;oo++){let so=this.children[oo];if(so.dom==no)return io;io+=so.length+so.breakAfter}}domBoundsAround(to,ro,no=0){let oo=-1,io=-1,so=-1,ao=-1;for(let lo=0,uo=no,co=no;lo<this.children.length;lo++){let fo=this.children[lo],ho=uo+fo.length;if(uo<to&&ho>ro)return fo.domBoundsAround(to,ro,uo);if(ho>=to&&oo==-1&&(oo=lo,io=uo),uo>ro&&fo.dom.parentNode==this.dom){so=lo,ao=co;break}co=ho,uo=ho+fo.breakAfter}return{from:io,to:ao<0?no+this.length:ao,startDOM:(oo?this.children[oo-1].dom.nextSibling:null)||this.dom.firstChild,endDOM:so<this.children.length&&so>=0?this.children[so].dom:null}}markDirty(to=!1){this.flags|=2,this.markParentsDirty(to)}markParentsDirty(to){for(let ro=this.parent;ro;ro=ro.parent){if(to&&(ro.flags|=2),ro.flags&1)return;ro.flags|=1,to=!1}}setParent(to){this.parent!=to&&(this.parent=to,this.flags&7&&this.markParentsDirty(!0))}setDOM(to){this.dom!=to&&(this.dom&&(this.dom.cmView=null),this.dom=to,to.cmView=this)}get rootView(){for(let to=this;;){let ro=to.parent;if(!ro)return to;to=ro}}replaceChildren(to,ro,no=noChildren){this.markDirty();for(let oo=to;oo<ro;oo++){let io=this.children[oo];io.parent==this&&no.indexOf(io)<0&&io.destroy()}this.children.splice(to,ro-to,...no);for(let oo=0;oo<no.length;oo++)no[oo].setParent(this)}ignoreMutation(to){return!1}ignoreEvent(to){return!1}childCursor(to=this.length){return new ChildCursor(this.children,to,this.children.length)}childPos(to,ro=1){return this.childCursor().findPos(to,ro)}toString(){let to=this.constructor.name.replace("View","");return to+(this.children.length?"("+this.children.join()+")":this.length?"["+(to=="Text"?this.text:this.length)+"]":"")+(this.breakAfter?"#":"")}static get(to){return to.cmView}get isEditable(){return!0}get isWidget(){return!1}get isHidden(){return!1}merge(to,ro,no,oo,io,so){return!1}become(to){return!1}canReuseDOM(to){return to.constructor==this.constructor&&!((this.flags|to.flags)&8)}getSide(){return 0}destroy(){for(let to of this.children)to.parent==this&&to.destroy();this.parent=null}}ContentView.prototype.breakAfter=0;function rm$1(eo){let to=eo.nextSibling;return eo.parentNode.removeChild(eo),to}class ChildCursor{constructor(to,ro,no){this.children=to,this.pos=ro,this.i=no,this.off=0}findPos(to,ro=1){for(;;){if(to>this.pos||to==this.pos&&(ro>0||this.i==0||this.children[this.i-1].breakAfter))return this.off=to-this.pos,this;let no=this.children[--this.i];this.pos-=no.length+no.breakAfter}}}function replaceRange(eo,to,ro,no,oo,io,so,ao,lo){let{children:uo}=eo,co=uo.length?uo[to]:null,fo=io.length?io[io.length-1]:null,ho=fo?fo.breakAfter:so;if(!(to==no&&co&&!so&&!ho&&io.length<2&&co.merge(ro,oo,io.length?fo:null,ro==0,ao,lo))){if(no<uo.length){let po=uo[no];po&&(oo<po.length||po.breakAfter&&(fo!=null&&fo.breakAfter))?(to==no&&(po=po.split(oo),oo=0),!ho&&fo&&po.merge(0,oo,fo,!0,0,lo)?io[io.length-1]=po:((oo||po.children.length&&!po.children[0].length)&&po.merge(0,oo,null,!1,0,lo),io.push(po))):po!=null&&po.breakAfter&&(fo?fo.breakAfter=1:so=1),no++}for(co&&(co.breakAfter=so,ro>0&&(!so&&io.length&&co.merge(ro,co.length,io[0],!1,ao,0)?co.breakAfter=io.shift().breakAfter:(ro<co.length||co.children.length&&co.children[co.children.length-1].length==0)&&co.merge(ro,co.length,null,!1,ao,0),to++));to<no&&io.length;)if(uo[no-1].become(io[io.length-1]))no--,io.pop(),lo=io.length?0:ao;else if(uo[to].become(io[0]))to++,io.shift(),ao=io.length?0:lo;else break;!io.length&&to&&no<uo.length&&!uo[to-1].breakAfter&&uo[no].merge(0,0,uo[to-1],!1,ao,lo)&&to--,(to<no||io.length)&&eo.replaceChildren(to,no,io)}}function mergeChildrenInto(eo,to,ro,no,oo,io){let so=eo.childCursor(),{i:ao,off:lo}=so.findPos(ro,1),{i:uo,off:co}=so.findPos(to,-1),fo=to-ro;for(let ho of no)fo+=ho.length;eo.length+=fo,replaceRange(eo,uo,co,ao,lo,no,0,oo,io)}let nav=typeof navigator<"u"?navigator:{userAgent:"",vendor:"",platform:""},doc=typeof document<"u"?document:{documentElement:{style:{}}};const ie_edge=/Edge\/(\d+)/.exec(nav.userAgent),ie_upto10=/MSIE \d/.test(nav.userAgent),ie_11up=/Trident\/(?:[7-9]|\d{2,})\..*rv:(\d+)/.exec(nav.userAgent),ie=!!(ie_upto10||ie_11up||ie_edge),gecko=!ie&&/gecko\/(\d+)/i.test(nav.userAgent),chrome=!ie&&/Chrome\/(\d+)/.exec(nav.userAgent),webkit="webkitFontSmoothing"in doc.documentElement.style,safari=!ie&&/Apple Computer/.test(nav.vendor),ios=safari&&(/Mobile\/\w+/.test(nav.userAgent)||nav.maxTouchPoints>2);var browser={mac:ios||/Mac/.test(nav.platform),windows:/Win/.test(nav.platform),linux:/Linux|X11/.test(nav.platform),ie,ie_version:ie_upto10?doc.documentMode||6:ie_11up?+ie_11up[1]:ie_edge?+ie_edge[1]:0,gecko,gecko_version:gecko?+(/Firefox\/(\d+)/.exec(nav.userAgent)||[0,0])[1]:0,chrome:!!chrome,chrome_version:chrome?+chrome[1]:0,ios,android:/Android\b/.test(nav.userAgent),webkit,safari,webkit_version:webkit?+(/\bAppleWebKit\/(\d+)/.exec(navigator.userAgent)||[0,0])[1]:0,tabSize:doc.documentElement.style.tabSize!=null?"tab-size":"-moz-tab-size"};const MaxJoinLen=256;class TextView extends ContentView{constructor(to){super(),this.text=to}get length(){return this.text.length}createDOM(to){this.setDOM(to||document.createTextNode(this.text))}sync(to,ro){this.dom||this.createDOM(),this.dom.nodeValue!=this.text&&(ro&&ro.node==this.dom&&(ro.written=!0),this.dom.nodeValue=this.text)}reuseDOM(to){to.nodeType==3&&this.createDOM(to)}merge(to,ro,no){return this.flags&8||no&&(!(no instanceof TextView)||this.length-(ro-to)+no.length>MaxJoinLen||no.flags&8)?!1:(this.text=this.text.slice(0,to)+(no?no.text:"")+this.text.slice(ro),this.markDirty(),!0)}split(to){let ro=new TextView(this.text.slice(to));return this.text=this.text.slice(0,to),this.markDirty(),ro.flags|=this.flags&8,ro}localPosFromDOM(to,ro){return to==this.dom?ro:ro?this.text.length:0}domAtPos(to){return new DOMPos(this.dom,to)}domBoundsAround(to,ro,no){return{from:no,to:no+this.length,startDOM:this.dom,endDOM:this.dom.nextSibling}}coordsAt(to,ro){return textCoords(this.dom,to,ro)}}class MarkView extends ContentView{constructor(to,ro=[],no=0){super(),this.mark=to,this.children=ro,this.length=no;for(let oo of ro)oo.setParent(this)}setAttrs(to){if(clearAttributes(to),this.mark.class&&(to.className=this.mark.class),this.mark.attrs)for(let ro in this.mark.attrs)to.setAttribute(ro,this.mark.attrs[ro]);return to}canReuseDOM(to){return super.canReuseDOM(to)&&!((this.flags|to.flags)&8)}reuseDOM(to){to.nodeName==this.mark.tagName.toUpperCase()&&(this.setDOM(to),this.flags|=6)}sync(to,ro){this.dom?this.flags&4&&this.setAttrs(this.dom):this.setDOM(this.setAttrs(document.createElement(this.mark.tagName))),super.sync(to,ro)}merge(to,ro,no,oo,io,so){return no&&(!(no instanceof MarkView&&no.mark.eq(this.mark))||to&&io<=0||ro<this.length&&so<=0)?!1:(mergeChildrenInto(this,to,ro,no?no.children.slice():[],io-1,so-1),this.markDirty(),!0)}split(to){let ro=[],no=0,oo=-1,io=0;for(let ao of this.children){let lo=no+ao.length;lo>to&&ro.push(no<to?ao.split(to-no):ao),oo<0&&no>=to&&(oo=io),no=lo,io++}let so=this.length-to;return this.length=to,oo>-1&&(this.children.length=oo,this.markDirty()),new MarkView(this.mark,ro,so)}domAtPos(to){return inlineDOMAtPos(this,to)}coordsAt(to,ro){return coordsInChildren(this,to,ro)}}function textCoords(eo,to,ro){let no=eo.nodeValue.length;to>no&&(to=no);let oo=to,io=to,so=0;to==0&&ro<0||to==no&&ro>=0?browser.chrome||browser.gecko||(to?(oo--,so=1):io<no&&(io++,so=-1)):ro<0?oo--:io<no&&io++;let ao=textRange(eo,oo,io).getClientRects();if(!ao.length)return null;let lo=ao[(so?so<0:ro>=0)?0:ao.length-1];return browser.safari&&!so&&lo.width==0&&(lo=Array.prototype.find.call(ao,uo=>uo.width)||lo),so?flattenRect(lo,so<0):lo||null}class WidgetView extends ContentView{static create(to,ro,no){return new WidgetView(to,ro,no)}constructor(to,ro,no){super(),this.widget=to,this.length=ro,this.side=no,this.prevWidget=null}split(to){let ro=WidgetView.create(this.widget,this.length-to,this.side);return this.length-=to,ro}sync(to){(!this.dom||!this.widget.updateDOM(this.dom,to))&&(this.dom&&this.prevWidget&&this.prevWidget.destroy(this.dom),this.prevWidget=null,this.setDOM(this.widget.toDOM(to)),this.widget.editable||(this.dom.contentEditable="false"))}getSide(){return this.side}merge(to,ro,no,oo,io,so){return no&&(!(no instanceof WidgetView)||!this.widget.compare(no.widget)||to>0&&io<=0||ro<this.length&&so<=0)?!1:(this.length=to+(no?no.length:0)+(this.length-ro),!0)}become(to){return to instanceof WidgetView&&to.side==this.side&&this.widget.constructor==to.widget.constructor?(this.widget.compare(to.widget)||this.markDirty(!0),this.dom&&!this.prevWidget&&(this.prevWidget=this.widget),this.widget=to.widget,this.length=to.length,!0):!1}ignoreMutation(){return!0}ignoreEvent(to){return this.widget.ignoreEvent(to)}get overrideDOMText(){if(this.length==0)return Text$1.empty;let to=this;for(;to.parent;)to=to.parent;let{view:ro}=to,no=ro&&ro.state.doc,oo=this.posAtStart;return no?no.slice(oo,oo+this.length):Text$1.empty}domAtPos(to){return(this.length?to==0:this.side>0)?DOMPos.before(this.dom):DOMPos.after(this.dom,to==this.length)}domBoundsAround(){return null}coordsAt(to,ro){let no=this.widget.coordsAt(this.dom,to,ro);if(no)return no;let oo=this.dom.getClientRects(),io=null;if(!oo.length)return null;let so=this.side?this.side<0:to>0;for(let ao=so?oo.length-1:0;io=oo[ao],!(to>0?ao==0:ao==oo.length-1||io.top<io.bottom);ao+=so?-1:1);return flattenRect(io,!so)}get isEditable(){return!1}get isWidget(){return!0}get isHidden(){return this.widget.isHidden}destroy(){super.destroy(),this.dom&&this.widget.destroy(this.dom)}}class WidgetBufferView extends ContentView{constructor(to){super(),this.side=to}get length(){return 0}merge(){return!1}become(to){return to instanceof WidgetBufferView&&to.side==this.side}split(){return new WidgetBufferView(this.side)}sync(){if(!this.dom){let to=document.createElement("img");to.className="cm-widgetBuffer",to.setAttribute("aria-hidden","true"),this.setDOM(to)}}getSide(){return this.side}domAtPos(to){return this.side>0?DOMPos.before(this.dom):DOMPos.after(this.dom)}localPosFromDOM(){return 0}domBoundsAround(){return null}coordsAt(to){return this.dom.getBoundingClientRect()}get overrideDOMText(){return Text$1.empty}get isHidden(){return!0}}TextView.prototype.children=WidgetView.prototype.children=WidgetBufferView.prototype.children=noChildren;function inlineDOMAtPos(eo,to){let ro=eo.dom,{children:no}=eo,oo=0;for(let io=0;oo<no.length;oo++){let so=no[oo],ao=io+so.length;if(!(ao==io&&so.getSide()<=0)){if(to>io&&to<ao&&so.dom.parentNode==ro)return so.domAtPos(to-io);if(to<=io)break;io=ao}}for(let io=oo;io>0;io--){let so=no[io-1];if(so.dom.parentNode==ro)return so.domAtPos(so.length)}for(let io=oo;io<no.length;io++){let so=no[io];if(so.dom.parentNode==ro)return so.domAtPos(0)}return new DOMPos(ro,0)}function joinInlineInto(eo,to,ro){let no,{children:oo}=eo;ro>0&&to instanceof MarkView&&oo.length&&(no=oo[oo.length-1])instanceof MarkView&&no.mark.eq(to.mark)?joinInlineInto(no,to.children[0],ro-1):(oo.push(to),to.setParent(eo)),eo.length+=to.length}function coordsInChildren(eo,to,ro){let no=null,oo=-1,io=null,so=-1;function ao(uo,co){for(let fo=0,ho=0;fo<uo.children.length&&ho<=co;fo++){let po=uo.children[fo],go=ho+po.length;go>=co&&(po.children.length?ao(po,co-ho):(!io||io.isHidden&&ro>0)&&(go>co||ho==go&&po.getSide()>0)?(io=po,so=co-ho):(ho<co||ho==go&&po.getSide()<0&&!po.isHidden)&&(no=po,oo=co-ho)),ho=go}}ao(eo,to);let lo=(ro<0?no:io)||no||io;return lo?lo.coordsAt(Math.max(0,lo==no?oo:so),ro):fallbackRect(eo)}function fallbackRect(eo){let to=eo.dom.lastChild;if(!to)return eo.dom.getBoundingClientRect();let ro=clientRectsFor(to);return ro[ro.length-1]||null}function combineAttrs(eo,to){for(let ro in eo)ro=="class"&&to.class?to.class+=" "+eo.class:ro=="style"&&to.style?to.style+=";"+eo.style:to[ro]=eo[ro];return to}const noAttrs=Object.create(null);function attrsEq(eo,to,ro){if(eo==to)return!0;eo||(eo=noAttrs),to||(to=noAttrs);let no=Object.keys(eo),oo=Object.keys(to);if(no.length-(ro&&no.indexOf(ro)>-1?1:0)!=oo.length-(ro&&oo.indexOf(ro)>-1?1:0))return!1;for(let io of no)if(io!=ro&&(oo.indexOf(io)==-1||eo[io]!==to[io]))return!1;return!0}function updateAttrs(eo,to,ro){let no=!1;if(to)for(let oo in to)ro&&oo in ro||(no=!0,oo=="style"?eo.style.cssText="":eo.removeAttribute(oo));if(ro)for(let oo in ro)to&&to[oo]==ro[oo]||(no=!0,oo=="style"?eo.style.cssText=ro[oo]:eo.setAttribute(oo,ro[oo]));return no}function getAttrs(eo){let to=Object.create(null);for(let ro=0;ro<eo.attributes.length;ro++){let no=eo.attributes[ro];to[no.name]=no.value}return to}class LineView extends ContentView{constructor(){super(...arguments),this.children=[],this.length=0,this.prevAttrs=void 0,this.attrs=null,this.breakAfter=0}merge(to,ro,no,oo,io,so){if(no){if(!(no instanceof LineView))return!1;this.dom||no.transferDOM(this)}return oo&&this.setDeco(no?no.attrs:null),mergeChildrenInto(this,to,ro,no?no.children.slice():[],io,so),!0}split(to){let ro=new LineView;if(ro.breakAfter=this.breakAfter,this.length==0)return ro;let{i:no,off:oo}=this.childPos(to);oo&&(ro.append(this.children[no].split(oo),0),this.children[no].merge(oo,this.children[no].length,null,!1,0,0),no++);for(let io=no;io<this.children.length;io++)ro.append(this.children[io],0);for(;no>0&&this.children[no-1].length==0;)this.children[--no].destroy();return this.children.length=no,this.markDirty(),this.length=to,ro}transferDOM(to){this.dom&&(this.markDirty(),to.setDOM(this.dom),to.prevAttrs=this.prevAttrs===void 0?this.attrs:this.prevAttrs,this.prevAttrs=void 0,this.dom=null)}setDeco(to){attrsEq(this.attrs,to)||(this.dom&&(this.prevAttrs=this.attrs,this.markDirty()),this.attrs=to)}append(to,ro){joinInlineInto(this,to,ro)}addLineDeco(to){let ro=to.spec.attributes,no=to.spec.class;ro&&(this.attrs=combineAttrs(ro,this.attrs||{})),no&&(this.attrs=combineAttrs({class:no},this.attrs||{}))}domAtPos(to){return inlineDOMAtPos(this,to)}reuseDOM(to){to.nodeName=="DIV"&&(this.setDOM(to),this.flags|=6)}sync(to,ro){var no;this.dom?this.flags&4&&(clearAttributes(this.dom),this.dom.className="cm-line",this.prevAttrs=this.attrs?null:void 0):(this.setDOM(document.createElement("div")),this.dom.className="cm-line",this.prevAttrs=this.attrs?null:void 0),this.prevAttrs!==void 0&&(updateAttrs(this.dom,this.prevAttrs,this.attrs),this.dom.classList.add("cm-line"),this.prevAttrs=void 0),super.sync(to,ro);let oo=this.dom.lastChild;for(;oo&&ContentView.get(oo)instanceof MarkView;)oo=oo.lastChild;if(!oo||!this.length||oo.nodeName!="BR"&&((no=ContentView.get(oo))===null||no===void 0?void 0:no.isEditable)==!1&&(!browser.ios||!this.children.some(io=>io instanceof TextView))){let io=document.createElement("BR");io.cmIgnore=!0,this.dom.appendChild(io)}}measureTextSize(){if(this.children.length==0||this.length>20)return null;let to=0,ro;for(let no of this.children){if(!(no instanceof TextView)||/[^ -~]/.test(no.text))return null;let oo=clientRectsFor(no.dom);if(oo.length!=1)return null;to+=oo[0].width,ro=oo[0].height}return to?{lineHeight:this.dom.getBoundingClientRect().height,charWidth:to/this.length,textHeight:ro}:null}coordsAt(to,ro){let no=coordsInChildren(this,to,ro);if(!this.children.length&&no&&this.parent){let{heightOracle:oo}=this.parent.view.viewState,io=no.bottom-no.top;if(Math.abs(io-oo.lineHeight)<2&&oo.textHeight<io){let so=(io-oo.textHeight)/2;return{top:no.top+so,bottom:no.bottom-so,left:no.left,right:no.left}}}return no}become(to){return!1}covers(){return!0}static find(to,ro){for(let no=0,oo=0;no<to.children.length;no++){let io=to.children[no],so=oo+io.length;if(so>=ro){if(io instanceof LineView)return io;if(so>ro)break}oo=so+io.breakAfter}return null}}class BlockWidgetView extends ContentView{constructor(to,ro,no){super(),this.widget=to,this.length=ro,this.deco=no,this.breakAfter=0,this.prevWidget=null}merge(to,ro,no,oo,io,so){return no&&(!(no instanceof BlockWidgetView)||!this.widget.compare(no.widget)||to>0&&io<=0||ro<this.length&&so<=0)?!1:(this.length=to+(no?no.length:0)+(this.length-ro),!0)}domAtPos(to){return to==0?DOMPos.before(this.dom):DOMPos.after(this.dom,to==this.length)}split(to){let ro=this.length-to;this.length=to;let no=new BlockWidgetView(this.widget,ro,this.deco);return no.breakAfter=this.breakAfter,no}get children(){return noChildren}sync(to){(!this.dom||!this.widget.updateDOM(this.dom,to))&&(this.dom&&this.prevWidget&&this.prevWidget.destroy(this.dom),this.prevWidget=null,this.setDOM(this.widget.toDOM(to)),this.widget.editable||(this.dom.contentEditable="false"))}get overrideDOMText(){return this.parent?this.parent.view.state.doc.slice(this.posAtStart,this.posAtEnd):Text$1.empty}domBoundsAround(){return null}become(to){return to instanceof BlockWidgetView&&to.widget.constructor==this.widget.constructor?(to.widget.compare(this.widget)||this.markDirty(!0),this.dom&&!this.prevWidget&&(this.prevWidget=this.widget),this.widget=to.widget,this.length=to.length,this.deco=to.deco,this.breakAfter=to.breakAfter,!0):!1}ignoreMutation(){return!0}ignoreEvent(to){return this.widget.ignoreEvent(to)}get isEditable(){return!1}get isWidget(){return!0}coordsAt(to,ro){return this.widget.coordsAt(this.dom,to,ro)}destroy(){super.destroy(),this.dom&&this.widget.destroy(this.dom)}covers(to){let{startSide:ro,endSide:no}=this.deco;return ro==no?!1:to<0?ro<0:no>0}}class WidgetType{eq(to){return!1}updateDOM(to,ro){return!1}compare(to){return this==to||this.constructor==to.constructor&&this.eq(to)}get estimatedHeight(){return-1}get lineBreaks(){return 0}ignoreEvent(to){return!0}coordsAt(to,ro,no){return null}get isHidden(){return!1}get editable(){return!1}destroy(to){}}var BlockType=function(eo){return eo[eo.Text=0]="Text",eo[eo.WidgetBefore=1]="WidgetBefore",eo[eo.WidgetAfter=2]="WidgetAfter",eo[eo.WidgetRange=3]="WidgetRange",eo}(BlockType||(BlockType={}));class Decoration extends RangeValue{constructor(to,ro,no,oo){super(),this.startSide=to,this.endSide=ro,this.widget=no,this.spec=oo}get heightRelevant(){return!1}static mark(to){return new MarkDecoration(to)}static widget(to){let ro=Math.max(-1e4,Math.min(1e4,to.side||0)),no=!!to.block;return ro+=no&&!to.inlineOrder?ro>0?3e8:-4e8:ro>0?1e8:-1e8,new PointDecoration(to,ro,ro,no,to.widget||null,!1)}static replace(to){let ro=!!to.block,no,oo;if(to.isBlockGap)no=-5e8,oo=4e8;else{let{start:io,end:so}=getInclusive(to,ro);no=(io?ro?-3e8:-1:5e8)-1,oo=(so?ro?2e8:1:-6e8)+1}return new PointDecoration(to,no,oo,ro,to.widget||null,!0)}static line(to){return new LineDecoration(to)}static set(to,ro=!1){return RangeSet.of(to,ro)}hasHeight(){return this.widget?this.widget.estimatedHeight>-1:!1}}Decoration.none=RangeSet.empty;class MarkDecoration extends Decoration{constructor(to){let{start:ro,end:no}=getInclusive(to);super(ro?-1:5e8,no?1:-6e8,null,to),this.tagName=to.tagName||"span",this.class=to.class||"",this.attrs=to.attributes||null}eq(to){var ro,no;return this==to||to instanceof MarkDecoration&&this.tagName==to.tagName&&(this.class||((ro=this.attrs)===null||ro===void 0?void 0:ro.class))==(to.class||((no=to.attrs)===null||no===void 0?void 0:no.class))&&attrsEq(this.attrs,to.attrs,"class")}range(to,ro=to){if(to>=ro)throw new RangeError("Mark decorations may not be empty");return super.range(to,ro)}}MarkDecoration.prototype.point=!1;class LineDecoration extends Decoration{constructor(to){super(-2e8,-2e8,null,to)}eq(to){return to instanceof LineDecoration&&this.spec.class==to.spec.class&&attrsEq(this.spec.attributes,to.spec.attributes)}range(to,ro=to){if(ro!=to)throw new RangeError("Line decoration ranges must be zero-length");return super.range(to,ro)}}LineDecoration.prototype.mapMode=MapMode.TrackBefore;LineDecoration.prototype.point=!0;class PointDecoration extends Decoration{constructor(to,ro,no,oo,io,so){super(ro,no,io,to),this.block=oo,this.isReplace=so,this.mapMode=oo?ro<=0?MapMode.TrackBefore:MapMode.TrackAfter:MapMode.TrackDel}get type(){return this.startSide!=this.endSide?BlockType.WidgetRange:this.startSide<=0?BlockType.WidgetBefore:BlockType.WidgetAfter}get heightRelevant(){return this.block||!!this.widget&&(this.widget.estimatedHeight>=5||this.widget.lineBreaks>0)}eq(to){return to instanceof PointDecoration&&widgetsEq(this.widget,to.widget)&&this.block==to.block&&this.startSide==to.startSide&&this.endSide==to.endSide}range(to,ro=to){if(this.isReplace&&(to>ro||to==ro&&this.startSide>0&&this.endSide<=0))throw new RangeError("Invalid range for replacement decoration");if(!this.isReplace&&ro!=to)throw new RangeError("Widget decorations can only have zero-length ranges");return super.range(to,ro)}}PointDecoration.prototype.point=!0;function getInclusive(eo,to=!1){let{inclusiveStart:ro,inclusiveEnd:no}=eo;return ro==null&&(ro=eo.inclusive),no==null&&(no=eo.inclusive),{start:ro??to,end:no??to}}function widgetsEq(eo,to){return eo==to||!!(eo&&to&&eo.compare(to))}function addRange(eo,to,ro,no=0){let oo=ro.length-1;oo>=0&&ro[oo]+no>=eo?ro[oo]=Math.max(ro[oo],to):ro.push(eo,to)}class ContentBuilder{constructor(to,ro,no,oo){this.doc=to,this.pos=ro,this.end=no,this.disallowBlockEffectsFor=oo,this.content=[],this.curLine=null,this.breakAtStart=0,this.pendingBuffer=0,this.bufferMarks=[],this.atCursorPos=!0,this.openStart=-1,this.openEnd=-1,this.text="",this.textOff=0,this.cursor=to.iter(),this.skip=ro}posCovered(){if(this.content.length==0)return!this.breakAtStart&&this.doc.lineAt(this.pos).from!=this.pos;let to=this.content[this.content.length-1];return!(to.breakAfter||to instanceof BlockWidgetView&&to.deco.endSide<0)}getLine(){return this.curLine||(this.content.push(this.curLine=new LineView),this.atCursorPos=!0),this.curLine}flushBuffer(to=this.bufferMarks){this.pendingBuffer&&(this.curLine.append(wrapMarks(new WidgetBufferView(-1),to),to.length),this.pendingBuffer=0)}addBlockWidget(to){this.flushBuffer(),this.curLine=null,this.content.push(to)}finish(to){this.pendingBuffer&&to<=this.bufferMarks.length?this.flushBuffer():this.pendingBuffer=0,!this.posCovered()&&!(to&&this.content.length&&this.content[this.content.length-1]instanceof BlockWidgetView)&&this.getLine()}buildText(to,ro,no){for(;to>0;){if(this.textOff==this.text.length){let{value:io,lineBreak:so,done:ao}=this.cursor.next(this.skip);if(this.skip=0,ao)throw new Error("Ran out of text content when drawing inline views");if(so){this.posCovered()||this.getLine(),this.content.length?this.content[this.content.length-1].breakAfter=1:this.breakAtStart=1,this.flushBuffer(),this.curLine=null,this.atCursorPos=!0,to--;continue}else this.text=io,this.textOff=0}let oo=Math.min(this.text.length-this.textOff,to,512);this.flushBuffer(ro.slice(ro.length-no)),this.getLine().append(wrapMarks(new TextView(this.text.slice(this.textOff,this.textOff+oo)),ro),no),this.atCursorPos=!0,this.textOff+=oo,to-=oo,no=0}}span(to,ro,no,oo){this.buildText(ro-to,no,oo),this.pos=ro,this.openStart<0&&(this.openStart=oo)}point(to,ro,no,oo,io,so){if(this.disallowBlockEffectsFor[so]&&no instanceof PointDecoration){if(no.block)throw new RangeError("Block decorations may not be specified via plugins");if(ro>this.doc.lineAt(this.pos).to)throw new RangeError("Decorations that replace line breaks may not be specified via plugins")}let ao=ro-to;if(no instanceof PointDecoration)if(no.block)no.startSide>0&&!this.posCovered()&&this.getLine(),this.addBlockWidget(new BlockWidgetView(no.widget||NullWidget.block,ao,no));else{let lo=WidgetView.create(no.widget||NullWidget.inline,ao,ao?0:no.startSide),uo=this.atCursorPos&&!lo.isEditable&&io<=oo.length&&(to<ro||no.startSide>0),co=!lo.isEditable&&(to<ro||io>oo.length||no.startSide<=0),fo=this.getLine();this.pendingBuffer==2&&!uo&&!lo.isEditable&&(this.pendingBuffer=0),this.flushBuffer(oo),uo&&(fo.append(wrapMarks(new WidgetBufferView(1),oo),io),io=oo.length+Math.max(0,io-oo.length)),fo.append(wrapMarks(lo,oo),io),this.atCursorPos=co,this.pendingBuffer=co?to<ro||io>oo.length?1:2:0,this.pendingBuffer&&(this.bufferMarks=oo.slice())}else this.doc.lineAt(this.pos).from==this.pos&&this.getLine().addLineDeco(no);ao&&(this.textOff+ao<=this.text.length?this.textOff+=ao:(this.skip+=ao-(this.text.length-this.textOff),this.text="",this.textOff=0),this.pos=ro),this.openStart<0&&(this.openStart=io)}static build(to,ro,no,oo,io){let so=new ContentBuilder(to,ro,no,io);return so.openEnd=RangeSet.spans(oo,ro,no,so),so.openStart<0&&(so.openStart=so.openEnd),so.finish(so.openEnd),so}}function wrapMarks(eo,to){for(let ro of to)eo=new MarkView(ro,[eo],eo.length);return eo}class NullWidget extends WidgetType{constructor(to){super(),this.tag=to}eq(to){return to.tag==this.tag}toDOM(){return document.createElement(this.tag)}updateDOM(to){return to.nodeName.toLowerCase()==this.tag}get isHidden(){return!0}}NullWidget.inline=new NullWidget("span");NullWidget.block=new NullWidget("div");var Direction=function(eo){return eo[eo.LTR=0]="LTR",eo[eo.RTL=1]="RTL",eo}(Direction||(Direction={}));const LTR=Direction.LTR,RTL=Direction.RTL;function dec(eo){let to=[];for(let ro=0;ro<eo.length;ro++)to.push(1<<+eo[ro]);return to}const LowTypes=dec("88888888888888888888888888888888888666888888787833333333337888888000000000000000000000000008888880000000000000000000000000088888888888888888888888888888888888887866668888088888663380888308888800000000000000000000000800000000000000000000000000000008"),ArabicTypes=dec("4444448826627288999999999992222222222222222222222222222222222222222222222229999999999999999999994444444444644222822222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222999999949999999229989999223333333333"),Brackets=Object.create(null),BracketStack=[];for(let eo of["()","[]","{}"]){let to=eo.charCodeAt(0),ro=eo.charCodeAt(1);Brackets[to]=ro,Brackets[ro]=-to}function charType(eo){return eo<=247?LowTypes[eo]:1424<=eo&&eo<=1524?2:1536<=eo&&eo<=1785?ArabicTypes[eo-1536]:1774<=eo&&eo<=2220?4:8192<=eo&&eo<=8204?256:64336<=eo&&eo<=65023?4:1}const BidiRE=/[\u0590-\u05f4\u0600-\u06ff\u0700-\u08ac\ufb50-\ufdff]/;class BidiSpan{get dir(){return this.level%2?RTL:LTR}constructor(to,ro,no){this.from=to,this.to=ro,this.level=no}side(to,ro){return this.dir==ro==to?this.to:this.from}forward(to,ro){return to==(this.dir==ro)}static find(to,ro,no,oo){let io=-1;for(let so=0;so<to.length;so++){let ao=to[so];if(ao.from<=ro&&ao.to>=ro){if(ao.level==no)return so;(io<0||(oo!=0?oo<0?ao.from<ro:ao.to>ro:to[io].level>ao.level))&&(io=so)}}if(io<0)throw new RangeError("Index out of range");return io}}function isolatesEq(eo,to){if(eo.length!=to.length)return!1;for(let ro=0;ro<eo.length;ro++){let no=eo[ro],oo=to[ro];if(no.from!=oo.from||no.to!=oo.to||no.direction!=oo.direction||!isolatesEq(no.inner,oo.inner))return!1}return!0}const types=[];function computeCharTypes(eo,to,ro,no,oo){for(let io=0;io<=no.length;io++){let so=io?no[io-1].to:to,ao=io<no.length?no[io].from:ro,lo=io?256:oo;for(let uo=so,co=lo,fo=lo;uo<ao;uo++){let ho=charType(eo.charCodeAt(uo));ho==512?ho=co:ho==8&&fo==4&&(ho=16),types[uo]=ho==4?2:ho,ho&7&&(fo=ho),co=ho}for(let uo=so,co=lo,fo=lo;uo<ao;uo++){let ho=types[uo];if(ho==128)uo<ao-1&&co==types[uo+1]&&co&24?ho=types[uo]=co:types[uo]=256;else if(ho==64){let po=uo+1;for(;po<ao&&types[po]==64;)po++;let go=uo&&co==8||po<ro&&types[po]==8?fo==1?1:8:256;for(let vo=uo;vo<po;vo++)types[vo]=go;uo=po-1}else ho==8&&fo==1&&(types[uo]=1);co=ho,ho&7&&(fo=ho)}}}function processBracketPairs(eo,to,ro,no,oo){let io=oo==1?2:1;for(let so=0,ao=0,lo=0;so<=no.length;so++){let uo=so?no[so-1].to:to,co=so<no.length?no[so].from:ro;for(let fo=uo,ho,po,go;fo<co;fo++)if(po=Brackets[ho=eo.charCodeAt(fo)])if(po<0){for(let vo=ao-3;vo>=0;vo-=3)if(BracketStack[vo+1]==-po){let bo=BracketStack[vo+2],xo=bo&2?oo:bo&4?bo&1?io:oo:0;xo&&(types[fo]=types[BracketStack[vo]]=xo),ao=vo;break}}else{if(BracketStack.length==189)break;BracketStack[ao++]=fo,BracketStack[ao++]=ho,BracketStack[ao++]=lo}else if((go=types[fo])==2||go==1){let vo=go==oo;lo=vo?0:1;for(let bo=ao-3;bo>=0;bo-=3){let xo=BracketStack[bo+2];if(xo&2)break;if(vo)BracketStack[bo+2]|=2;else{if(xo&4)break;BracketStack[bo+2]|=4}}}}}function processNeutrals(eo,to,ro,no){for(let oo=0,io=no;oo<=ro.length;oo++){let so=oo?ro[oo-1].to:eo,ao=oo<ro.length?ro[oo].from:to;for(let lo=so;lo<ao;){let uo=types[lo];if(uo==256){let co=lo+1;for(;;)if(co==ao){if(oo==ro.length)break;co=ro[oo++].to,ao=oo<ro.length?ro[oo].from:to}else if(types[co]==256)co++;else break;let fo=io==1,ho=(co<to?types[co]:no)==1,po=fo==ho?fo?1:2:no;for(let go=co,vo=oo,bo=vo?ro[vo-1].to:eo;go>lo;)go==bo&&(go=ro[--vo].from,bo=vo?ro[vo-1].to:eo),types[--go]=po;lo=co}else io=uo,lo++}}}function emitSpans(eo,to,ro,no,oo,io,so){let ao=no%2?2:1;if(no%2==oo%2)for(let lo=to,uo=0;lo<ro;){let co=!0,fo=!1;if(uo==io.length||lo<io[uo].from){let vo=types[lo];vo!=ao&&(co=!1,fo=vo==16)}let ho=!co&&ao==1?[]:null,po=co?no:no+1,go=lo;e:for(;;)if(uo<io.length&&go==io[uo].from){if(fo)break e;let vo=io[uo];if(!co)for(let bo=vo.to,xo=uo+1;;){if(bo==ro)break e;if(xo<io.length&&io[xo].from==bo)bo=io[xo++].to;else{if(types[bo]==ao)break e;break}}if(uo++,ho)ho.push(vo);else{vo.from>lo&&so.push(new BidiSpan(lo,vo.from,po));let bo=vo.direction==LTR!=!(po%2);computeSectionOrder(eo,bo?no+1:no,oo,vo.inner,vo.from,vo.to,so),lo=vo.to}go=vo.to}else{if(go==ro||(co?types[go]!=ao:types[go]==ao))break;go++}ho?emitSpans(eo,lo,go,no+1,oo,ho,so):lo<go&&so.push(new BidiSpan(lo,go,po)),lo=go}else for(let lo=ro,uo=io.length;lo>to;){let co=!0,fo=!1;if(!uo||lo>io[uo-1].to){let vo=types[lo-1];vo!=ao&&(co=!1,fo=vo==16)}let ho=!co&&ao==1?[]:null,po=co?no:no+1,go=lo;e:for(;;)if(uo&&go==io[uo-1].to){if(fo)break e;let vo=io[--uo];if(!co)for(let bo=vo.from,xo=uo;;){if(bo==to)break e;if(xo&&io[xo-1].to==bo)bo=io[--xo].from;else{if(types[bo-1]==ao)break e;break}}if(ho)ho.push(vo);else{vo.to<lo&&so.push(new BidiSpan(vo.to,lo,po));let bo=vo.direction==LTR!=!(po%2);computeSectionOrder(eo,bo?no+1:no,oo,vo.inner,vo.from,vo.to,so),lo=vo.from}go=vo.from}else{if(go==to||(co?types[go-1]!=ao:types[go-1]==ao))break;go--}ho?emitSpans(eo,go,lo,no+1,oo,ho,so):go<lo&&so.push(new BidiSpan(go,lo,po)),lo=go}}function computeSectionOrder(eo,to,ro,no,oo,io,so){let ao=to%2?2:1;computeCharTypes(eo,oo,io,no,ao),processBracketPairs(eo,oo,io,no,ao),processNeutrals(oo,io,no,ao),emitSpans(eo,oo,io,to,ro,no,so)}function computeOrder(eo,to,ro){if(!eo)return[new BidiSpan(0,0,to==RTL?1:0)];if(to==LTR&&!ro.length&&!BidiRE.test(eo))return trivialOrder(eo.length);if(ro.length)for(;eo.length>types.length;)types[types.length]=256;let no=[],oo=to==LTR?0:1;return computeSectionOrder(eo,oo,oo,ro,0,eo.length,no),no}function trivialOrder(eo){return[new BidiSpan(0,eo,0)]}let movedOver="";function moveVisually(eo,to,ro,no,oo){var io;let so=no.head-eo.from,ao=BidiSpan.find(to,so,(io=no.bidiLevel)!==null&&io!==void 0?io:-1,no.assoc),lo=to[ao],uo=lo.side(oo,ro);if(so==uo){let ho=ao+=oo?1:-1;if(ho<0||ho>=to.length)return null;lo=to[ao=ho],so=lo.side(!oo,ro),uo=lo.side(oo,ro)}let co=findClusterBreak(eo.text,so,lo.forward(oo,ro));(co<lo.from||co>lo.to)&&(co=uo),movedOver=eo.text.slice(Math.min(so,co),Math.max(so,co));let fo=ao==(oo?to.length-1:0)?null:to[ao+(oo?1:-1)];return fo&&co==uo&&fo.level+(oo?0:1)<lo.level?EditorSelection.cursor(fo.side(!oo,ro)+eo.from,fo.forward(oo,ro)?1:-1,fo.level):EditorSelection.cursor(co+eo.from,lo.forward(oo,ro)?-1:1,lo.level)}function autoDirection(eo,to,ro){for(let no=to;no<ro;no++){let oo=charType(eo.charCodeAt(no));if(oo==1)return LTR;if(oo==2||oo==4)return RTL}return LTR}const clickAddsSelectionRange=Facet.define(),dragMovesSelection$1=Facet.define(),mouseSelectionStyle=Facet.define(),exceptionSink=Facet.define(),updateListener=Facet.define(),inputHandler$1=Facet.define(),focusChangeEffect=Facet.define(),perLineTextDirection=Facet.define({combine:eo=>eo.some(to=>to)}),nativeSelectionHidden=Facet.define({combine:eo=>eo.some(to=>to)}),scrollHandler=Facet.define();class ScrollTarget{constructor(to,ro="nearest",no="nearest",oo=5,io=5,so=!1){this.range=to,this.y=ro,this.x=no,this.yMargin=oo,this.xMargin=io,this.isSnapshot=so}map(to){return to.empty?this:new ScrollTarget(this.range.map(to),this.y,this.x,this.yMargin,this.xMargin,this.isSnapshot)}clip(to){return this.range.to<=to.doc.length?this:new ScrollTarget(EditorSelection.cursor(to.doc.length),this.y,this.x,this.yMargin,this.xMargin,this.isSnapshot)}}const scrollIntoView$1=StateEffect.define({map:(eo,to)=>eo.map(to)});function logException(eo,to,ro){let no=eo.facet(exceptionSink);no.length?no[0](to):window.onerror?window.onerror(String(to),ro,void 0,void 0,to):ro?console.error(ro+":",to):console.error(to)}const editable=Facet.define({combine:eo=>eo.length?eo[0]:!0});let nextPluginID=0;const viewPlugin=Facet.define();class ViewPlugin{constructor(to,ro,no,oo,io){this.id=to,this.create=ro,this.domEventHandlers=no,this.domEventObservers=oo,this.extension=io(this)}static define(to,ro){const{eventHandlers:no,eventObservers:oo,provide:io,decorations:so}=ro||{};return new ViewPlugin(nextPluginID++,to,no,oo,ao=>{let lo=[viewPlugin.of(ao)];return so&&lo.push(decorations.of(uo=>{let co=uo.plugin(ao);return co?so(co):Decoration.none})),io&&lo.push(io(ao)),lo})}static fromClass(to,ro){return ViewPlugin.define(no=>new to(no),ro)}}class PluginInstance{constructor(to){this.spec=to,this.mustUpdate=null,this.value=null}update(to){if(this.value){if(this.mustUpdate){let ro=this.mustUpdate;if(this.mustUpdate=null,this.value.update)try{this.value.update(ro)}catch(no){if(logException(ro.state,no,"CodeMirror plugin crashed"),this.value.destroy)try{this.value.destroy()}catch{}this.deactivate()}}}else if(this.spec)try{this.value=this.spec.create(to)}catch(ro){logException(to.state,ro,"CodeMirror plugin crashed"),this.deactivate()}return this}destroy(to){var ro;if(!((ro=this.value)===null||ro===void 0)&&ro.destroy)try{this.value.destroy()}catch(no){logException(to.state,no,"CodeMirror plugin crashed")}}deactivate(){this.spec=this.value=null}}const editorAttributes=Facet.define(),contentAttributes=Facet.define(),decorations=Facet.define(),outerDecorations=Facet.define(),atomicRanges=Facet.define(),bidiIsolatedRanges=Facet.define();function getIsolatedRanges(eo,to){let ro=eo.state.facet(bidiIsolatedRanges);if(!ro.length)return ro;let no=ro.map(io=>io instanceof Function?io(eo):io),oo=[];return RangeSet.spans(no,to.from,to.to,{point(){},span(io,so,ao,lo){let uo=io-to.from,co=so-to.from,fo=oo;for(let ho=ao.length-1;ho>=0;ho--,lo--){let po=ao[ho].spec.bidiIsolate,go;if(po==null&&(po=autoDirection(to.text,uo,co)),lo>0&&fo.length&&(go=fo[fo.length-1]).to==uo&&go.direction==po)go.to=co,fo=go.inner;else{let vo={from:uo,to:co,direction:po,inner:[]};fo.push(vo),fo=vo.inner}}}}),oo}const scrollMargins=Facet.define();function getScrollMargins(eo){let to=0,ro=0,no=0,oo=0;for(let io of eo.state.facet(scrollMargins)){let so=io(eo);so&&(so.left!=null&&(to=Math.max(to,so.left)),so.right!=null&&(ro=Math.max(ro,so.right)),so.top!=null&&(no=Math.max(no,so.top)),so.bottom!=null&&(oo=Math.max(oo,so.bottom)))}return{left:to,right:ro,top:no,bottom:oo}}const styleModule=Facet.define();class ChangedRange{constructor(to,ro,no,oo){this.fromA=to,this.toA=ro,this.fromB=no,this.toB=oo}join(to){return new ChangedRange(Math.min(this.fromA,to.fromA),Math.max(this.toA,to.toA),Math.min(this.fromB,to.fromB),Math.max(this.toB,to.toB))}addToSet(to){let ro=to.length,no=this;for(;ro>0;ro--){let oo=to[ro-1];if(!(oo.fromA>no.toA)){if(oo.toA<no.fromA)break;no=no.join(oo),to.splice(ro-1,1)}}return to.splice(ro,0,no),to}static extendWithRanges(to,ro){if(ro.length==0)return to;let no=[];for(let oo=0,io=0,so=0,ao=0;;oo++){let lo=oo==to.length?null:to[oo],uo=so-ao,co=lo?lo.fromB:1e9;for(;io<ro.length&&ro[io]<co;){let fo=ro[io],ho=ro[io+1],po=Math.max(ao,fo),go=Math.min(co,ho);if(po<=go&&new ChangedRange(po+uo,go+uo,po,go).addToSet(no),ho>co)break;io+=2}if(!lo)return no;new ChangedRange(lo.fromA,lo.toA,lo.fromB,lo.toB).addToSet(no),so=lo.toA,ao=lo.toB}}}class ViewUpdate{constructor(to,ro,no){this.view=to,this.state=ro,this.transactions=no,this.flags=0,this.startState=to.state,this.changes=ChangeSet.empty(this.startState.doc.length);for(let io of no)this.changes=this.changes.compose(io.changes);let oo=[];this.changes.iterChangedRanges((io,so,ao,lo)=>oo.push(new ChangedRange(io,so,ao,lo))),this.changedRanges=oo}static create(to,ro,no){return new ViewUpdate(to,ro,no)}get viewportChanged(){return(this.flags&4)>0}get heightChanged(){return(this.flags&2)>0}get geometryChanged(){return this.docChanged||(this.flags&10)>0}get focusChanged(){return(this.flags&1)>0}get docChanged(){return!this.changes.empty}get selectionSet(){return this.transactions.some(to=>to.selection)}get empty(){return this.flags==0&&this.transactions.length==0}}class DocView extends ContentView{get length(){return this.view.state.doc.length}constructor(to){super(),this.view=to,this.decorations=[],this.dynamicDecorationMap=[!1],this.domChanged=null,this.hasComposition=null,this.markedForComposition=new Set,this.compositionBarrier=Decoration.none,this.lastCompositionAfterCursor=!1,this.minWidth=0,this.minWidthFrom=0,this.minWidthTo=0,this.impreciseAnchor=null,this.impreciseHead=null,this.forceSelection=!1,this.lastUpdate=Date.now(),this.setDOM(to.contentDOM),this.children=[new LineView],this.children[0].setParent(this),this.updateDeco(),this.updateInner([new ChangedRange(0,0,0,to.state.doc.length)],0,null)}update(to){var ro;let no=to.changedRanges;this.minWidth>0&&no.length&&(no.every(({fromA:uo,toA:co})=>co<this.minWidthFrom||uo>this.minWidthTo)?(this.minWidthFrom=to.changes.mapPos(this.minWidthFrom,1),this.minWidthTo=to.changes.mapPos(this.minWidthTo,1)):this.minWidth=this.minWidthFrom=this.minWidthTo=0);let oo=-1;this.view.inputState.composing>=0&&(!((ro=this.domChanged)===null||ro===void 0)&&ro.newSel?oo=this.domChanged.newSel.head:!touchesComposition(to.changes,this.hasComposition)&&!to.selectionSet&&(oo=to.state.selection.main.head));let io=oo>-1?findCompositionRange(this.view,to.changes,oo):null;if(this.domChanged=null,this.hasComposition){this.markedForComposition.clear();let{from:uo,to:co}=this.hasComposition;no=new ChangedRange(uo,co,to.changes.mapPos(uo,-1),to.changes.mapPos(co,1)).addToSet(no.slice())}this.hasComposition=io?{from:io.range.fromB,to:io.range.toB}:null,(browser.ie||browser.chrome)&&!io&&to&&to.state.doc.lines!=to.startState.doc.lines&&(this.forceSelection=!0);let so=this.decorations,ao=this.updateDeco(),lo=findChangedDeco(so,ao,to.changes);return no=ChangedRange.extendWithRanges(no,lo),!(this.flags&7)&&no.length==0?!1:(this.updateInner(no,to.startState.doc.length,io),to.transactions.length&&(this.lastUpdate=Date.now()),!0)}updateInner(to,ro,no){this.view.viewState.mustMeasureContent=!0,this.updateChildren(to,ro,no);let{observer:oo}=this.view;oo.ignore(()=>{this.dom.style.height=this.view.viewState.contentHeight/this.view.scaleY+"px",this.dom.style.flexBasis=this.minWidth?this.minWidth+"px":"";let so=browser.chrome||browser.ios?{node:oo.selectionRange.focusNode,written:!1}:void 0;this.sync(this.view,so),this.flags&=-8,so&&(so.written||oo.selectionRange.focusNode!=so.node)&&(this.forceSelection=!0),this.dom.style.height=""}),this.markedForComposition.forEach(so=>so.flags&=-9);let io=[];if(this.view.viewport.from||this.view.viewport.to<this.view.state.doc.length)for(let so of this.children)so instanceof BlockWidgetView&&so.widget instanceof BlockGapWidget&&io.push(so.dom);oo.updateGaps(io)}updateChildren(to,ro,no){let oo=no?no.range.addToSet(to.slice()):to,io=this.childCursor(ro);for(let so=oo.length-1;;so--){let ao=so>=0?oo[so]:null;if(!ao)break;let{fromA:lo,toA:uo,fromB:co,toB:fo}=ao,ho,po,go,vo;if(no&&no.range.fromB<fo&&no.range.toB>co){let So=ContentBuilder.build(this.view.state.doc,co,no.range.fromB,this.decorations,this.dynamicDecorationMap),To=ContentBuilder.build(this.view.state.doc,no.range.toB,fo,this.decorations,this.dynamicDecorationMap);po=So.breakAtStart,go=So.openStart,vo=To.openEnd;let wo=this.compositionView(no);To.breakAtStart?wo.breakAfter=1:To.content.length&&wo.merge(wo.length,wo.length,To.content[0],!1,To.openStart,0)&&(wo.breakAfter=To.content[0].breakAfter,To.content.shift()),So.content.length&&wo.merge(0,0,So.content[So.content.length-1],!0,0,So.openEnd)&&So.content.pop(),ho=So.content.concat(wo).concat(To.content)}else({content:ho,breakAtStart:po,openStart:go,openEnd:vo}=ContentBuilder.build(this.view.state.doc,co,fo,this.decorations,this.dynamicDecorationMap));let{i:bo,off:xo}=io.findPos(uo,1),{i:_o,off:Eo}=io.findPos(lo,-1);replaceRange(this,_o,Eo,bo,xo,ho,po,go,vo)}no&&this.fixCompositionDOM(no)}compositionView(to){let ro=new TextView(to.text.nodeValue);ro.flags|=8;for(let{deco:oo}of to.marks)ro=new MarkView(oo,[ro],ro.length);let no=new LineView;return no.append(ro,0),no}fixCompositionDOM(to){let ro=(io,so)=>{so.flags|=8|(so.children.some(lo=>lo.flags&7)?1:0),this.markedForComposition.add(so);let ao=ContentView.get(io);ao&&ao!=so&&(ao.dom=null),so.setDOM(io)},no=this.childPos(to.range.fromB,1),oo=this.children[no.i];ro(to.line,oo);for(let io=to.marks.length-1;io>=-1;io--)no=oo.childPos(no.off,1),oo=oo.children[no.i],ro(io>=0?to.marks[io].node:to.text,oo)}updateSelection(to=!1,ro=!1){(to||!this.view.observer.selectionRange.focusNode)&&this.view.observer.readSelectionRange();let no=this.view.root.activeElement,oo=no==this.dom,io=!oo&&hasSelection(this.dom,this.view.observer.selectionRange)&&!(no&&this.dom.contains(no));if(!(oo||ro||io))return;let so=this.forceSelection;this.forceSelection=!1;let ao=this.view.state.selection.main,lo=this.moveToLine(this.domAtPos(ao.anchor)),uo=ao.empty?lo:this.moveToLine(this.domAtPos(ao.head));if(browser.gecko&&ao.empty&&!this.hasComposition&&betweenUneditable(lo)){let fo=document.createTextNode("");this.view.observer.ignore(()=>lo.node.insertBefore(fo,lo.node.childNodes[lo.offset]||null)),lo=uo=new DOMPos(fo,0),so=!0}let co=this.view.observer.selectionRange;(so||!co.focusNode||(!isEquivalentPosition(lo.node,lo.offset,co.anchorNode,co.anchorOffset)||!isEquivalentPosition(uo.node,uo.offset,co.focusNode,co.focusOffset))&&!this.suppressWidgetCursorChange(co,ao))&&(this.view.observer.ignore(()=>{browser.android&&browser.chrome&&this.dom.contains(co.focusNode)&&inUneditable(co.focusNode,this.dom)&&(this.dom.blur(),this.dom.focus({preventScroll:!0}));let fo=getSelection(this.view.root);if(fo)if(ao.empty){if(browser.gecko){let ho=nextToUneditable(lo.node,lo.offset);if(ho&&ho!=3){let po=(ho==1?textNodeBefore:textNodeAfter)(lo.node,lo.offset);po&&(lo=new DOMPos(po.node,po.offset))}}fo.collapse(lo.node,lo.offset),ao.bidiLevel!=null&&fo.caretBidiLevel!==void 0&&(fo.caretBidiLevel=ao.bidiLevel)}else if(fo.extend){fo.collapse(lo.node,lo.offset);try{fo.extend(uo.node,uo.offset)}catch{}}else{let ho=document.createRange();ao.anchor>ao.head&&([lo,uo]=[uo,lo]),ho.setEnd(uo.node,uo.offset),ho.setStart(lo.node,lo.offset),fo.removeAllRanges(),fo.addRange(ho)}io&&this.view.root.activeElement==this.dom&&(this.dom.blur(),no&&no.focus())}),this.view.observer.setSelectionRange(lo,uo)),this.impreciseAnchor=lo.precise?null:new DOMPos(co.anchorNode,co.anchorOffset),this.impreciseHead=uo.precise?null:new DOMPos(co.focusNode,co.focusOffset)}suppressWidgetCursorChange(to,ro){return this.hasComposition&&ro.empty&&!this.compositionBarrier.size&&isEquivalentPosition(to.focusNode,to.focusOffset,to.anchorNode,to.anchorOffset)&&this.posFromDOM(to.focusNode,to.focusOffset)==ro.head}enforceCursorAssoc(){if(this.hasComposition)return;let{view:to}=this,ro=to.state.selection.main,no=getSelection(to.root),{anchorNode:oo,anchorOffset:io}=to.observer.selectionRange;if(!no||!ro.empty||!ro.assoc||!no.modify)return;let so=LineView.find(this,ro.head);if(!so)return;let ao=so.posAtStart;if(ro.head==ao||ro.head==ao+so.length)return;let lo=this.coordsAt(ro.head,-1),uo=this.coordsAt(ro.head,1);if(!lo||!uo||lo.bottom>uo.top)return;let co=this.domAtPos(ro.head+ro.assoc);no.collapse(co.node,co.offset),no.modify("move",ro.assoc<0?"forward":"backward","lineboundary"),to.observer.readSelectionRange();let fo=to.observer.selectionRange;to.docView.posFromDOM(fo.anchorNode,fo.anchorOffset)!=ro.from&&no.collapse(oo,io)}moveToLine(to){let ro=this.dom,no;if(to.node!=ro)return to;for(let oo=to.offset;!no&&oo<ro.childNodes.length;oo++){let io=ContentView.get(ro.childNodes[oo]);io instanceof LineView&&(no=io.domAtPos(0))}for(let oo=to.offset-1;!no&&oo>=0;oo--){let io=ContentView.get(ro.childNodes[oo]);io instanceof LineView&&(no=io.domAtPos(io.length))}return no?new DOMPos(no.node,no.offset,!0):to}nearest(to){for(let ro=to;ro;){let no=ContentView.get(ro);if(no&&no.rootView==this)return no;ro=ro.parentNode}return null}posFromDOM(to,ro){let no=this.nearest(to);if(!no)throw new RangeError("Trying to find position for a DOM position outside of the document");return no.localPosFromDOM(to,ro)+no.posAtStart}domAtPos(to){let{i:ro,off:no}=this.childCursor().findPos(to,-1);for(;ro<this.children.length-1;){let oo=this.children[ro];if(no<oo.length||oo instanceof LineView)break;ro++,no=0}return this.children[ro].domAtPos(no)}coordsAt(to,ro){let no=null,oo=0;for(let io=this.length,so=this.children.length-1;so>=0;so--){let ao=this.children[so],lo=io-ao.breakAfter,uo=lo-ao.length;if(lo<to)break;uo<=to&&(uo<to||ao.covers(-1))&&(lo>to||ao.covers(1))&&(!no||ao instanceof LineView&&!(no instanceof LineView&&ro>=0))&&(no=ao,oo=uo),io=uo}return no?no.coordsAt(to-oo,ro):null}coordsForChar(to){let{i:ro,off:no}=this.childPos(to,1),oo=this.children[ro];if(!(oo instanceof LineView))return null;for(;oo.children.length;){let{i:ao,off:lo}=oo.childPos(no,1);for(;;ao++){if(ao==oo.children.length)return null;if((oo=oo.children[ao]).length)break}no=lo}if(!(oo instanceof TextView))return null;let io=findClusterBreak(oo.text,no);if(io==no)return null;let so=textRange(oo.dom,no,io).getClientRects();for(let ao=0;ao<so.length;ao++){let lo=so[ao];if(ao==so.length-1||lo.top<lo.bottom&&lo.left<lo.right)return lo}return null}measureVisibleLineHeights(to){let ro=[],{from:no,to:oo}=to,io=this.view.contentDOM.clientWidth,so=io>Math.max(this.view.scrollDOM.clientWidth,this.minWidth)+1,ao=-1,lo=this.view.textDirection==Direction.LTR;for(let uo=0,co=0;co<this.children.length;co++){let fo=this.children[co],ho=uo+fo.length;if(ho>oo)break;if(uo>=no){let po=fo.dom.getBoundingClientRect();if(ro.push(po.height),so){let go=fo.dom.lastChild,vo=go?clientRectsFor(go):[];if(vo.length){let bo=vo[vo.length-1],xo=lo?bo.right-po.left:po.right-bo.left;xo>ao&&(ao=xo,this.minWidth=io,this.minWidthFrom=uo,this.minWidthTo=ho)}}}uo=ho+fo.breakAfter}return ro}textDirectionAt(to){let{i:ro}=this.childPos(to,1);return getComputedStyle(this.children[ro].dom).direction=="rtl"?Direction.RTL:Direction.LTR}measureTextSize(){for(let io of this.children)if(io instanceof LineView){let so=io.measureTextSize();if(so)return so}let to=document.createElement("div"),ro,no,oo;return to.className="cm-line",to.style.width="99999px",to.style.position="absolute",to.textContent="abc def ghi jkl mno pqr stu",this.view.observer.ignore(()=>{this.dom.appendChild(to);let io=clientRectsFor(to.firstChild)[0];ro=to.getBoundingClientRect().height,no=io?io.width/27:7,oo=io?io.height:ro,to.remove()}),{lineHeight:ro,charWidth:no,textHeight:oo}}childCursor(to=this.length){let ro=this.children.length;return ro&&(to-=this.children[--ro].length),new ChildCursor(this.children,to,ro)}computeBlockGapDeco(){let to=[],ro=this.view.viewState;for(let no=0,oo=0;;oo++){let io=oo==ro.viewports.length?null:ro.viewports[oo],so=io?io.from-1:this.length;if(so>no){let ao=(ro.lineBlockAt(so).bottom-ro.lineBlockAt(no).top)/this.view.scaleY;to.push(Decoration.replace({widget:new BlockGapWidget(ao),block:!0,inclusive:!0,isBlockGap:!0}).range(no,so))}if(!io)break;no=io.to+1}return Decoration.set(to)}updateDeco(){let to=1,ro=this.view.state.facet(decorations).map(io=>(this.dynamicDecorationMap[to++]=typeof io=="function")?io(this.view):io),no=!1,oo=this.view.state.facet(outerDecorations).map((io,so)=>{let ao=typeof io=="function";return ao&&(no=!0),ao?io(this.view):io});for(oo.length&&(this.dynamicDecorationMap[to++]=no,ro.push(RangeSet.join(oo))),this.decorations=[this.compositionBarrier,...ro,this.computeBlockGapDeco(),this.view.viewState.lineGapDeco];to<this.decorations.length;)this.dynamicDecorationMap[to++]=!1;return this.decorations}maybeCreateCompositionBarrier(){let{main:{head:to,empty:ro}}=this.view.state.selection;if(!ro)return!1;let no=null;for(let oo of this.decorations)if(oo.between(to,to,(io,so,ao)=>{ao.point?no=!1:ao.endSide<0&&io<to&&so==to&&(no=!0)}),no===!1)break;return this.compositionBarrier=no?Decoration.set(compositionBarrierWidget.range(to)):Decoration.none,!!no}clearCompositionBarrier(){this.compositionBarrier=Decoration.none}scrollIntoView(to){if(to.isSnapshot){let uo=this.view.viewState.lineBlockAt(to.range.head);this.view.scrollDOM.scrollTop=uo.top-to.yMargin,this.view.scrollDOM.scrollLeft=to.xMargin;return}for(let uo of this.view.state.facet(scrollHandler))try{if(uo(this.view,to.range,to))return!0}catch(co){logException(this.view.state,co,"scroll handler")}let{range:ro}=to,no=this.coordsAt(ro.head,ro.empty?ro.assoc:ro.head>ro.anchor?-1:1),oo;if(!no)return;!ro.empty&&(oo=this.coordsAt(ro.anchor,ro.anchor>ro.head?-1:1))&&(no={left:Math.min(no.left,oo.left),top:Math.min(no.top,oo.top),right:Math.max(no.right,oo.right),bottom:Math.max(no.bottom,oo.bottom)});let io=getScrollMargins(this.view),so={left:no.left-io.left,top:no.top-io.top,right:no.right+io.right,bottom:no.bottom+io.bottom},{offsetWidth:ao,offsetHeight:lo}=this.view.scrollDOM;scrollRectIntoView(this.view.scrollDOM,so,ro.head<ro.anchor?-1:1,to.x,to.y,Math.max(Math.min(to.xMargin,ao),-ao),Math.max(Math.min(to.yMargin,lo),-lo),this.view.textDirection==Direction.LTR)}}const compositionBarrierWidget=Decoration.widget({side:-1,widget:NullWidget.inline});function betweenUneditable(eo){return eo.node.nodeType==1&&eo.node.firstChild&&(eo.offset==0||eo.node.childNodes[eo.offset-1].contentEditable=="false")&&(eo.offset==eo.node.childNodes.length||eo.node.childNodes[eo.offset].contentEditable=="false")}class BlockGapWidget extends WidgetType{constructor(to){super(),this.height=to}toDOM(){let to=document.createElement("div");return to.className="cm-gap",this.updateDOM(to),to}eq(to){return to.height==this.height}updateDOM(to){return to.style.height=this.height+"px",!0}get editable(){return!0}get estimatedHeight(){return this.height}ignoreEvent(){return!1}}function findCompositionNode(eo,to){let ro=eo.observer.selectionRange;if(!ro.focusNode)return null;let no=textNodeBefore(ro.focusNode,ro.focusOffset),oo=textNodeAfter(ro.focusNode,ro.focusOffset),io=no||oo;if(oo&&no&&oo.node!=no.node){let ao=ContentView.get(oo.node);if(!ao||ao instanceof TextView&&ao.text!=oo.node.nodeValue)io=oo;else if(eo.docView.lastCompositionAfterCursor){let lo=ContentView.get(no.node);!lo||lo instanceof TextView&&lo.text!=no.node.nodeValue||(io=oo)}}if(eo.docView.lastCompositionAfterCursor=io!=no,!io)return null;let so=to-io.offset;return{from:so,to:so+io.node.nodeValue.length,node:io.node}}function findCompositionRange(eo,to,ro){let no=findCompositionNode(eo,ro);if(!no)return null;let{node:oo,from:io,to:so}=no,ao=oo.nodeValue;if(/[\n\r]/.test(ao)||eo.state.doc.sliceString(no.from,no.to)!=ao)return null;let lo=to.invertedDesc,uo=new ChangedRange(lo.mapPos(io),lo.mapPos(so),io,so),co=[];for(let fo=oo.parentNode;;fo=fo.parentNode){let ho=ContentView.get(fo);if(ho instanceof MarkView)co.push({node:fo,deco:ho.mark});else{if(ho instanceof LineView||fo.nodeName=="DIV"&&fo.parentNode==eo.contentDOM)return{range:uo,text:oo,marks:co,line:fo};if(fo!=eo.contentDOM)co.push({node:fo,deco:new MarkDecoration({inclusive:!0,attributes:getAttrs(fo),tagName:fo.tagName.toLowerCase()})});else return null}}}function nextToUneditable(eo,to){return eo.nodeType!=1?0:(to&&eo.childNodes[to-1].contentEditable=="false"?1:0)|(to<eo.childNodes.length&&eo.childNodes[to].contentEditable=="false"?2:0)}let DecorationComparator$1=class{constructor(){this.changes=[]}compareRange(to,ro){addRange(to,ro,this.changes)}comparePoint(to,ro){addRange(to,ro,this.changes)}};function findChangedDeco(eo,to,ro){let no=new DecorationComparator$1;return RangeSet.compare(eo,to,ro,no),no.changes}function inUneditable(eo,to){for(let ro=eo;ro&&ro!=to;ro=ro.assignedSlot||ro.parentNode)if(ro.nodeType==1&&ro.contentEditable=="false")return!0;return!1}function touchesComposition(eo,to){let ro=!1;return to&&eo.iterChangedRanges((no,oo)=>{no<to.to&&oo>to.from&&(ro=!0)}),ro}function groupAt(eo,to,ro=1){let no=eo.charCategorizer(to),oo=eo.doc.lineAt(to),io=to-oo.from;if(oo.length==0)return EditorSelection.cursor(to);io==0?ro=1:io==oo.length&&(ro=-1);let so=io,ao=io;ro<0?so=findClusterBreak(oo.text,io,!1):ao=findClusterBreak(oo.text,io);let lo=no(oo.text.slice(so,ao));for(;so>0;){let uo=findClusterBreak(oo.text,so,!1);if(no(oo.text.slice(uo,so))!=lo)break;so=uo}for(;ao<oo.length;){let uo=findClusterBreak(oo.text,ao);if(no(oo.text.slice(ao,uo))!=lo)break;ao=uo}return EditorSelection.range(so+oo.from,ao+oo.from)}function getdx(eo,to){return to.left>eo?to.left-eo:Math.max(0,eo-to.right)}function getdy(eo,to){return to.top>eo?to.top-eo:Math.max(0,eo-to.bottom)}function yOverlap(eo,to){return eo.top<to.bottom-1&&eo.bottom>to.top+1}function upTop(eo,to){return to<eo.top?{top:to,left:eo.left,right:eo.right,bottom:eo.bottom}:eo}function upBot(eo,to){return to>eo.bottom?{top:eo.top,left:eo.left,right:eo.right,bottom:to}:eo}function domPosAtCoords(eo,to,ro){let no,oo,io,so,ao=!1,lo,uo,co,fo;for(let go=eo.firstChild;go;go=go.nextSibling){let vo=clientRectsFor(go);for(let bo=0;bo<vo.length;bo++){let xo=vo[bo];oo&&yOverlap(oo,xo)&&(xo=upTop(upBot(xo,oo.bottom),oo.top));let _o=getdx(to,xo),Eo=getdy(ro,xo);if(_o==0&&Eo==0)return go.nodeType==3?domPosInText(go,to,ro):domPosAtCoords(go,to,ro);if(!no||so>Eo||so==Eo&&io>_o){no=go,oo=xo,io=_o,so=Eo;let So=Eo?ro<xo.top?-1:1:_o?to<xo.left?-1:1:0;ao=!So||(So>0?bo<vo.length-1:bo>0)}_o==0?ro>xo.bottom&&(!co||co.bottom<xo.bottom)?(lo=go,co=xo):ro<xo.top&&(!fo||fo.top>xo.top)&&(uo=go,fo=xo):co&&yOverlap(co,xo)?co=upBot(co,xo.bottom):fo&&yOverlap(fo,xo)&&(fo=upTop(fo,xo.top))}}if(co&&co.bottom>=ro?(no=lo,oo=co):fo&&fo.top<=ro&&(no=uo,oo=fo),!no)return{node:eo,offset:0};let ho=Math.max(oo.left,Math.min(oo.right,to));if(no.nodeType==3)return domPosInText(no,ho,ro);if(ao&&no.contentEditable!="false")return domPosAtCoords(no,ho,ro);let po=Array.prototype.indexOf.call(eo.childNodes,no)+(to>=(oo.left+oo.right)/2?1:0);return{node:eo,offset:po}}function domPosInText(eo,to,ro){let no=eo.nodeValue.length,oo=-1,io=1e9,so=0;for(let ao=0;ao<no;ao++){let lo=textRange(eo,ao,ao+1).getClientRects();for(let uo=0;uo<lo.length;uo++){let co=lo[uo];if(co.top==co.bottom)continue;so||(so=to-co.left);let fo=(co.top>ro?co.top-ro:ro-co.bottom)-1;if(co.left-1<=to&&co.right+1>=to&&fo<io){let ho=to>=(co.left+co.right)/2,po=ho;if((browser.chrome||browser.gecko)&&textRange(eo,ao).getBoundingClientRect().left==co.right&&(po=!ho),fo<=0)return{node:eo,offset:ao+(po?1:0)};oo=ao+(po?1:0),io=fo}}}return{node:eo,offset:oo>-1?oo:so>0?eo.nodeValue.length:0}}function posAtCoords(eo,to,ro,no=-1){var oo,io;let so=eo.contentDOM.getBoundingClientRect(),ao=so.top+eo.viewState.paddingTop,lo,{docHeight:uo}=eo.viewState,{x:co,y:fo}=to,ho=fo-ao;if(ho<0)return 0;if(ho>uo)return eo.state.doc.length;for(let So=eo.viewState.heightOracle.textHeight/2,To=!1;lo=eo.elementAtHeight(ho),lo.type!=BlockType.Text;)for(;ho=no>0?lo.bottom+So:lo.top-So,!(ho>=0&&ho<=uo);){if(To)return ro?null:0;To=!0,no=-no}fo=ao+ho;let po=lo.from;if(po<eo.viewport.from)return eo.viewport.from==0?0:ro?null:posAtCoordsImprecise(eo,so,lo,co,fo);if(po>eo.viewport.to)return eo.viewport.to==eo.state.doc.length?eo.state.doc.length:ro?null:posAtCoordsImprecise(eo,so,lo,co,fo);let go=eo.dom.ownerDocument,vo=eo.root.elementFromPoint?eo.root:go,bo=vo.elementFromPoint(co,fo);bo&&!eo.contentDOM.contains(bo)&&(bo=null),bo||(co=Math.max(so.left+1,Math.min(so.right-1,co)),bo=vo.elementFromPoint(co,fo),bo&&!eo.contentDOM.contains(bo)&&(bo=null));let xo,_o=-1;if(bo&&((oo=eo.docView.nearest(bo))===null||oo===void 0?void 0:oo.isEditable)!=!1){if(go.caretPositionFromPoint){let So=go.caretPositionFromPoint(co,fo);So&&({offsetNode:xo,offset:_o}=So)}else if(go.caretRangeFromPoint){let So=go.caretRangeFromPoint(co,fo);So&&({startContainer:xo,startOffset:_o}=So,(!eo.contentDOM.contains(xo)||browser.safari&&isSuspiciousSafariCaretResult(xo,_o,co)||browser.chrome&&isSuspiciousChromeCaretResult(xo,_o,co))&&(xo=void 0))}}if(!xo||!eo.docView.dom.contains(xo)){let So=LineView.find(eo.docView,po);if(!So)return ho>lo.top+lo.height/2?lo.to:lo.from;({node:xo,offset:_o}=domPosAtCoords(So.dom,co,fo))}let Eo=eo.docView.nearest(xo);if(!Eo)return null;if(Eo.isWidget&&((io=Eo.dom)===null||io===void 0?void 0:io.nodeType)==1){let So=Eo.dom.getBoundingClientRect();return to.y<So.top||to.y<=So.bottom&&to.x<=(So.left+So.right)/2?Eo.posAtStart:Eo.posAtEnd}else return Eo.localPosFromDOM(xo,_o)+Eo.posAtStart}function posAtCoordsImprecise(eo,to,ro,no,oo){let io=Math.round((no-to.left)*eo.defaultCharacterWidth);if(eo.lineWrapping&&ro.height>eo.defaultLineHeight*1.5){let ao=eo.viewState.heightOracle.textHeight,lo=Math.floor((oo-ro.top-(eo.defaultLineHeight-ao)*.5)/ao);io+=lo*eo.viewState.heightOracle.lineLength}let so=eo.state.sliceDoc(ro.from,ro.to);return ro.from+findColumn(so,io,eo.state.tabSize)}function isSuspiciousSafariCaretResult(eo,to,ro){let no;if(eo.nodeType!=3||to!=(no=eo.nodeValue.length))return!1;for(let oo=eo.nextSibling;oo;oo=oo.nextSibling)if(oo.nodeType!=1||oo.nodeName!="BR")return!1;return textRange(eo,no-1,no).getBoundingClientRect().left>ro}function isSuspiciousChromeCaretResult(eo,to,ro){if(to!=0)return!1;for(let oo=eo;;){let io=oo.parentNode;if(!io||io.nodeType!=1||io.firstChild!=oo)return!1;if(io.classList.contains("cm-line"))break;oo=io}let no=eo.nodeType==1?eo.getBoundingClientRect():textRange(eo,0,Math.max(eo.nodeValue.length,1)).getBoundingClientRect();return ro-no.left>5}function blockAt(eo,to){let ro=eo.lineBlockAt(to);if(Array.isArray(ro.type)){for(let no of ro.type)if(no.to>to||no.to==to&&(no.to==ro.to||no.type==BlockType.Text))return no}return ro}function moveToLineBoundary(eo,to,ro,no){let oo=blockAt(eo,to.head),io=!no||oo.type!=BlockType.Text||!(eo.lineWrapping||oo.widgetLineBreaks)?null:eo.coordsAtPos(to.assoc<0&&to.head>oo.from?to.head-1:to.head);if(io){let so=eo.dom.getBoundingClientRect(),ao=eo.textDirectionAt(oo.from),lo=eo.posAtCoords({x:ro==(ao==Direction.LTR)?so.right-1:so.left+1,y:(io.top+io.bottom)/2});if(lo!=null)return EditorSelection.cursor(lo,ro?-1:1)}return EditorSelection.cursor(ro?oo.to:oo.from,ro?-1:1)}function moveByChar(eo,to,ro,no){let oo=eo.state.doc.lineAt(to.head),io=eo.bidiSpans(oo),so=eo.textDirectionAt(oo.from);for(let ao=to,lo=null;;){let uo=moveVisually(oo,io,so,ao,ro),co=movedOver;if(!uo){if(oo.number==(ro?eo.state.doc.lines:1))return ao;co=`
+`,oo=eo.state.doc.line(oo.number+(ro?1:-1)),io=eo.bidiSpans(oo),uo=eo.visualLineSide(oo,!ro)}if(lo){if(!lo(co))return ao}else{if(!no)return uo;lo=no(co)}ao=uo}}function byGroup(eo,to,ro){let no=eo.state.charCategorizer(to),oo=no(ro);return io=>{let so=no(io);return oo==CharCategory.Space&&(oo=so),oo==so}}function moveVertically(eo,to,ro,no){let oo=to.head,io=ro?1:-1;if(oo==(ro?eo.state.doc.length:0))return EditorSelection.cursor(oo,to.assoc);let so=to.goalColumn,ao,lo=eo.contentDOM.getBoundingClientRect(),uo=eo.coordsAtPos(oo,to.assoc||-1),co=eo.documentTop;if(uo)so==null&&(so=uo.left-lo.left),ao=io<0?uo.top:uo.bottom;else{let po=eo.viewState.lineBlockAt(oo);so==null&&(so=Math.min(lo.right-lo.left,eo.defaultCharacterWidth*(oo-po.from))),ao=(io<0?po.top:po.bottom)+co}let fo=lo.left+so,ho=no??eo.viewState.heightOracle.textHeight>>1;for(let po=0;;po+=10){let go=ao+(ho+po)*io,vo=posAtCoords(eo,{x:fo,y:go},!1,io);if(go<lo.top||go>lo.bottom||(io<0?vo<oo:vo>oo)){let bo=eo.docView.coordsForChar(vo),xo=!bo||go<bo.top?-1:1;return EditorSelection.cursor(vo,xo,void 0,so)}}}function skipAtomicRanges(eo,to,ro){for(;;){let no=0;for(let oo of eo)oo.between(to-1,to+1,(io,so,ao)=>{if(to>io&&to<so){let lo=no||ro||(to-io<so-to?-1:1);to=lo<0?io:so,no=lo}});if(!no)return to}}function skipAtoms(eo,to,ro){let no=skipAtomicRanges(eo.state.facet(atomicRanges).map(oo=>oo(eo)),ro.from,to.head>ro.from?-1:1);return no==ro.from?ro:EditorSelection.cursor(no,no<ro.from?1:-1)}class InputState{setSelectionOrigin(to){this.lastSelectionOrigin=to,this.lastSelectionTime=Date.now()}constructor(to){this.view=to,this.lastKeyCode=0,this.lastKeyTime=0,this.lastTouchTime=0,this.lastFocusTime=0,this.lastScrollTop=0,this.lastScrollLeft=0,this.pendingIOSKey=void 0,this.lastSelectionOrigin=null,this.lastSelectionTime=0,this.lastEscPress=0,this.lastContextMenu=0,this.scrollHandlers=[],this.handlers=Object.create(null),this.composing=-1,this.compositionFirstChange=null,this.compositionEndedAt=0,this.compositionPendingKey=!1,this.compositionPendingChange=!1,this.mouseSelection=null,this.draggedContent=null,this.handleEvent=this.handleEvent.bind(this),this.notifiedFocused=to.hasFocus,browser.safari&&to.contentDOM.addEventListener("input",()=>null),browser.gecko&&firefoxCopyCutHack(to.contentDOM.ownerDocument)}handleEvent(to){!eventBelongsToEditor(this.view,to)||this.ignoreDuringComposition(to)||to.type=="keydown"&&this.keydown(to)||this.runHandlers(to.type,to)}runHandlers(to,ro){let no=this.handlers[to];if(no){for(let oo of no.observers)oo(this.view,ro);for(let oo of no.handlers){if(ro.defaultPrevented)break;if(oo(this.view,ro)){ro.preventDefault();break}}}}ensureHandlers(to){let ro=computeHandlers(to),no=this.handlers,oo=this.view.contentDOM;for(let io in ro)if(io!="scroll"){let so=!ro[io].handlers.length,ao=no[io];ao&&so!=!ao.handlers.length&&(oo.removeEventListener(io,this.handleEvent),ao=null),ao||oo.addEventListener(io,this.handleEvent,{passive:so})}for(let io in no)io!="scroll"&&!ro[io]&&oo.removeEventListener(io,this.handleEvent);this.handlers=ro}keydown(to){if(this.lastKeyCode=to.keyCode,this.lastKeyTime=Date.now(),to.keyCode==9&&Date.now()<this.lastEscPress+2e3)return!0;if(to.keyCode!=27&&modifierCodes.indexOf(to.keyCode)<0&&(this.view.inputState.lastEscPress=0),browser.android&&browser.chrome&&!to.synthetic&&(to.keyCode==13||to.keyCode==8))return this.view.observer.delayAndroidKey(to.key,to.keyCode),!0;let ro;return browser.ios&&!to.synthetic&&!to.altKey&&!to.metaKey&&((ro=PendingKeys.find(no=>no.keyCode==to.keyCode))&&!to.ctrlKey||EmacsyPendingKeys.indexOf(to.key)>-1&&to.ctrlKey&&!to.shiftKey)?(this.pendingIOSKey=ro||to,setTimeout(()=>this.flushIOSKey(),250),!0):(to.keyCode!=229&&this.view.observer.forceFlush(),!1)}flushIOSKey(to){let ro=this.pendingIOSKey;return!ro||ro.key=="Enter"&&to&&to.from<to.to&&/^\S+$/.test(to.insert.toString())?!1:(this.pendingIOSKey=void 0,dispatchKey(this.view.contentDOM,ro.key,ro.keyCode,ro instanceof KeyboardEvent?ro:void 0))}ignoreDuringComposition(to){return/^key/.test(to.type)?this.composing>0?!0:browser.safari&&!browser.ios&&this.compositionPendingKey&&Date.now()-this.compositionEndedAt<100?(this.compositionPendingKey=!1,!0):!1:!1}startMouseSelection(to){this.mouseSelection&&this.mouseSelection.destroy(),this.mouseSelection=to}update(to){this.mouseSelection&&this.mouseSelection.update(to),this.draggedContent&&to.docChanged&&(this.draggedContent=this.draggedContent.map(to.changes)),to.transactions.length&&(this.lastKeyCode=this.lastSelectionTime=0)}destroy(){this.mouseSelection&&this.mouseSelection.destroy()}}function bindHandler(eo,to){return(ro,no)=>{try{return to.call(eo,no,ro)}catch(oo){logException(ro.state,oo)}}}function computeHandlers(eo){let to=Object.create(null);function ro(no){return to[no]||(to[no]={observers:[],handlers:[]})}for(let no of eo){let oo=no.spec;if(oo&&oo.domEventHandlers)for(let io in oo.domEventHandlers){let so=oo.domEventHandlers[io];so&&ro(io).handlers.push(bindHandler(no.value,so))}if(oo&&oo.domEventObservers)for(let io in oo.domEventObservers){let so=oo.domEventObservers[io];so&&ro(io).observers.push(bindHandler(no.value,so))}}for(let no in handlers)ro(no).handlers.push(handlers[no]);for(let no in observers)ro(no).observers.push(observers[no]);return to}const PendingKeys=[{key:"Backspace",keyCode:8,inputType:"deleteContentBackward"},{key:"Enter",keyCode:13,inputType:"insertParagraph"},{key:"Enter",keyCode:13,inputType:"insertLineBreak"},{key:"Delete",keyCode:46,inputType:"deleteContentForward"}],EmacsyPendingKeys="dthko",modifierCodes=[16,17,18,20,91,92,224,225],dragScrollMargin=6;function dragScrollSpeed(eo){return Math.max(0,eo)*.7+8}function dist(eo,to){return Math.max(Math.abs(eo.clientX-to.clientX),Math.abs(eo.clientY-to.clientY))}class MouseSelection{constructor(to,ro,no,oo){this.view=to,this.startEvent=ro,this.style=no,this.mustSelect=oo,this.scrollSpeed={x:0,y:0},this.scrolling=-1,this.lastEvent=ro,this.scrollParent=scrollableParent(to.contentDOM),this.atoms=to.state.facet(atomicRanges).map(so=>so(to));let io=to.contentDOM.ownerDocument;io.addEventListener("mousemove",this.move=this.move.bind(this)),io.addEventListener("mouseup",this.up=this.up.bind(this)),this.extend=ro.shiftKey,this.multiple=to.state.facet(EditorState.allowMultipleSelections)&&addsSelectionRange(to,ro),this.dragging=isInPrimarySelection(to,ro)&&getClickType(ro)==1?null:!1}start(to){this.dragging===!1&&this.select(to)}move(to){var ro;if(to.buttons==0)return this.destroy();if(this.dragging||this.dragging==null&&dist(this.startEvent,to)<10)return;this.select(this.lastEvent=to);let no=0,oo=0,io=((ro=this.scrollParent)===null||ro===void 0?void 0:ro.getBoundingClientRect())||{left:0,top:0,right:this.view.win.innerWidth,bottom:this.view.win.innerHeight},so=getScrollMargins(this.view);to.clientX-so.left<=io.left+dragScrollMargin?no=-dragScrollSpeed(io.left-to.clientX):to.clientX+so.right>=io.right-dragScrollMargin&&(no=dragScrollSpeed(to.clientX-io.right)),to.clientY-so.top<=io.top+dragScrollMargin?oo=-dragScrollSpeed(io.top-to.clientY):to.clientY+so.bottom>=io.bottom-dragScrollMargin&&(oo=dragScrollSpeed(to.clientY-io.bottom)),this.setScrollSpeed(no,oo)}up(to){this.dragging==null&&this.select(this.lastEvent),this.dragging||to.preventDefault(),this.destroy()}destroy(){this.setScrollSpeed(0,0);let to=this.view.contentDOM.ownerDocument;to.removeEventListener("mousemove",this.move),to.removeEventListener("mouseup",this.up),this.view.inputState.mouseSelection=this.view.inputState.draggedContent=null}setScrollSpeed(to,ro){this.scrollSpeed={x:to,y:ro},to||ro?this.scrolling<0&&(this.scrolling=setInterval(()=>this.scroll(),50)):this.scrolling>-1&&(clearInterval(this.scrolling),this.scrolling=-1)}scroll(){this.scrollParent?(this.scrollParent.scrollLeft+=this.scrollSpeed.x,this.scrollParent.scrollTop+=this.scrollSpeed.y):this.view.win.scrollBy(this.scrollSpeed.x,this.scrollSpeed.y),this.dragging===!1&&this.select(this.lastEvent)}skipAtoms(to){let ro=null;for(let no=0;no<to.ranges.length;no++){let oo=to.ranges[no],io=null;if(oo.empty){let so=skipAtomicRanges(this.atoms,oo.from,0);so!=oo.from&&(io=EditorSelection.cursor(so,-1))}else{let so=skipAtomicRanges(this.atoms,oo.from,-1),ao=skipAtomicRanges(this.atoms,oo.to,1);(so!=oo.from||ao!=oo.to)&&(io=EditorSelection.range(oo.from==oo.anchor?so:ao,oo.from==oo.head?so:ao))}io&&(ro||(ro=to.ranges.slice()),ro[no]=io)}return ro?EditorSelection.create(ro,to.mainIndex):to}select(to){let{view:ro}=this,no=this.skipAtoms(this.style.get(to,this.extend,this.multiple));(this.mustSelect||!no.eq(ro.state.selection,this.dragging===!1))&&this.view.dispatch({selection:no,userEvent:"select.pointer"}),this.mustSelect=!1}update(to){this.style.update(to)&&setTimeout(()=>this.select(this.lastEvent),20)}}function addsSelectionRange(eo,to){let ro=eo.state.facet(clickAddsSelectionRange);return ro.length?ro[0](to):browser.mac?to.metaKey:to.ctrlKey}function dragMovesSelection(eo,to){let ro=eo.state.facet(dragMovesSelection$1);return ro.length?ro[0](to):browser.mac?!to.altKey:!to.ctrlKey}function isInPrimarySelection(eo,to){let{main:ro}=eo.state.selection;if(ro.empty)return!1;let no=getSelection(eo.root);if(!no||no.rangeCount==0)return!0;let oo=no.getRangeAt(0).getClientRects();for(let io=0;io<oo.length;io++){let so=oo[io];if(so.left<=to.clientX&&so.right>=to.clientX&&so.top<=to.clientY&&so.bottom>=to.clientY)return!0}return!1}function eventBelongsToEditor(eo,to){if(!to.bubbles)return!0;if(to.defaultPrevented)return!1;for(let ro=to.target,no;ro!=eo.contentDOM;ro=ro.parentNode)if(!ro||ro.nodeType==11||(no=ContentView.get(ro))&&no.ignoreEvent(to))return!1;return!0}const handlers=Object.create(null),observers=Object.create(null),brokenClipboardAPI=browser.ie&&browser.ie_version<15||browser.ios&&browser.webkit_version<604;function capturePaste(eo){let to=eo.dom.parentNode;if(!to)return;let ro=to.appendChild(document.createElement("textarea"));ro.style.cssText="position: fixed; left: -10000px; top: 10px",ro.focus(),setTimeout(()=>{eo.focus(),ro.remove(),doPaste(eo,ro.value)},50)}function doPaste(eo,to){let{state:ro}=eo,no,oo=1,io=ro.toText(to),so=io.lines==ro.selection.ranges.length;if(lastLinewiseCopy!=null&&ro.selection.ranges.every(lo=>lo.empty)&&lastLinewiseCopy==io.toString()){let lo=-1;no=ro.changeByRange(uo=>{let co=ro.doc.lineAt(uo.from);if(co.from==lo)return{range:uo};lo=co.from;let fo=ro.toText((so?io.line(oo++).text:to)+ro.lineBreak);return{changes:{from:co.from,insert:fo},range:EditorSelection.cursor(uo.from+fo.length)}})}else so?no=ro.changeByRange(lo=>{let uo=io.line(oo++);return{changes:{from:lo.from,to:lo.to,insert:uo.text},range:EditorSelection.cursor(lo.from+uo.length)}}):no=ro.replaceSelection(io);eo.dispatch(no,{userEvent:"input.paste",scrollIntoView:!0})}observers.scroll=eo=>{eo.inputState.lastScrollTop=eo.scrollDOM.scrollTop,eo.inputState.lastScrollLeft=eo.scrollDOM.scrollLeft};handlers.keydown=(eo,to)=>(eo.inputState.setSelectionOrigin("select"),to.keyCode==27&&(eo.inputState.lastEscPress=Date.now()),!1);observers.touchstart=(eo,to)=>{eo.inputState.lastTouchTime=Date.now(),eo.inputState.setSelectionOrigin("select.pointer")};observers.touchmove=eo=>{eo.inputState.setSelectionOrigin("select.pointer")};handlers.mousedown=(eo,to)=>{if(eo.observer.flush(),eo.inputState.lastTouchTime>Date.now()-2e3)return!1;let ro=null;for(let no of eo.state.facet(mouseSelectionStyle))if(ro=no(eo,to),ro)break;if(!ro&&to.button==0&&(ro=basicMouseSelection(eo,to)),ro){let no=!eo.hasFocus;eo.inputState.startMouseSelection(new MouseSelection(eo,to,ro,no)),no&&eo.observer.ignore(()=>focusPreventScroll(eo.contentDOM));let oo=eo.inputState.mouseSelection;if(oo)return oo.start(to),oo.dragging===!1}return!1};function rangeForClick(eo,to,ro,no){if(no==1)return EditorSelection.cursor(to,ro);if(no==2)return groupAt(eo.state,to,ro);{let oo=LineView.find(eo.docView,to),io=eo.state.doc.lineAt(oo?oo.posAtEnd:to),so=oo?oo.posAtStart:io.from,ao=oo?oo.posAtEnd:io.to;return ao<eo.state.doc.length&&ao==io.to&&ao++,EditorSelection.range(so,ao)}}let insideY=(eo,to)=>eo>=to.top&&eo<=to.bottom,inside=(eo,to,ro)=>insideY(to,ro)&&eo>=ro.left&&eo<=ro.right;function findPositionSide(eo,to,ro,no){let oo=LineView.find(eo.docView,to);if(!oo)return 1;let io=to-oo.posAtStart;if(io==0)return 1;if(io==oo.length)return-1;let so=oo.coordsAt(io,-1);if(so&&inside(ro,no,so))return-1;let ao=oo.coordsAt(io,1);return ao&&inside(ro,no,ao)?1:so&&insideY(no,so)?-1:1}function queryPos(eo,to){let ro=eo.posAtCoords({x:to.clientX,y:to.clientY},!1);return{pos:ro,bias:findPositionSide(eo,ro,to.clientX,to.clientY)}}const BadMouseDetail=browser.ie&&browser.ie_version<=11;let lastMouseDown=null,lastMouseDownCount=0,lastMouseDownTime=0;function getClickType(eo){if(!BadMouseDetail)return eo.detail;let to=lastMouseDown,ro=lastMouseDownTime;return lastMouseDown=eo,lastMouseDownTime=Date.now(),lastMouseDownCount=!to||ro>Date.now()-400&&Math.abs(to.clientX-eo.clientX)<2&&Math.abs(to.clientY-eo.clientY)<2?(lastMouseDownCount+1)%3:1}function basicMouseSelection(eo,to){let ro=queryPos(eo,to),no=getClickType(to),oo=eo.state.selection;return{update(io){io.docChanged&&(ro.pos=io.changes.mapPos(ro.pos),oo=oo.map(io.changes))},get(io,so,ao){let lo=queryPos(eo,io),uo,co=rangeForClick(eo,lo.pos,lo.bias,no);if(ro.pos!=lo.pos&&!so){let fo=rangeForClick(eo,ro.pos,ro.bias,no),ho=Math.min(fo.from,co.from),po=Math.max(fo.to,co.to);co=ho<co.from?EditorSelection.range(ho,po):EditorSelection.range(po,ho)}return so?oo.replaceRange(oo.main.extend(co.from,co.to)):ao&&no==1&&oo.ranges.length>1&&(uo=removeRangeAround(oo,lo.pos))?uo:ao?oo.addRange(co):EditorSelection.create([co])}}}function removeRangeAround(eo,to){for(let ro=0;ro<eo.ranges.length;ro++){let{from:no,to:oo}=eo.ranges[ro];if(no<=to&&oo>=to)return EditorSelection.create(eo.ranges.slice(0,ro).concat(eo.ranges.slice(ro+1)),eo.mainIndex==ro?0:eo.mainIndex-(eo.mainIndex>ro?1:0))}return null}handlers.dragstart=(eo,to)=>{let{selection:{main:ro}}=eo.state;if(to.target.draggable){let oo=eo.docView.nearest(to.target);if(oo&&oo.isWidget){let io=oo.posAtStart,so=io+oo.length;(io>=ro.to||so<=ro.from)&&(ro=EditorSelection.range(io,so))}}let{inputState:no}=eo;return no.mouseSelection&&(no.mouseSelection.dragging=!0),no.draggedContent=ro,to.dataTransfer&&(to.dataTransfer.setData("Text",eo.state.sliceDoc(ro.from,ro.to)),to.dataTransfer.effectAllowed="copyMove"),!1};handlers.dragend=eo=>(eo.inputState.draggedContent=null,!1);function dropText(eo,to,ro,no){if(!ro)return;let oo=eo.posAtCoords({x:to.clientX,y:to.clientY},!1),{draggedContent:io}=eo.inputState,so=no&&io&&dragMovesSelection(eo,to)?{from:io.from,to:io.to}:null,ao={from:oo,insert:ro},lo=eo.state.changes(so?[so,ao]:ao);eo.focus(),eo.dispatch({changes:lo,selection:{anchor:lo.mapPos(oo,-1),head:lo.mapPos(oo,1)},userEvent:so?"move.drop":"input.drop"}),eo.inputState.draggedContent=null}handlers.drop=(eo,to)=>{if(!to.dataTransfer)return!1;if(eo.state.readOnly)return!0;let ro=to.dataTransfer.files;if(ro&&ro.length){let no=Array(ro.length),oo=0,io=()=>{++oo==ro.length&&dropText(eo,to,no.filter(so=>so!=null).join(eo.state.lineBreak),!1)};for(let so=0;so<ro.length;so++){let ao=new FileReader;ao.onerror=io,ao.onload=()=>{/[\x00-\x08\x0e-\x1f]{2}/.test(ao.result)||(no[so]=ao.result),io()},ao.readAsText(ro[so])}return!0}else{let no=to.dataTransfer.getData("Text");if(no)return dropText(eo,to,no,!0),!0}return!1};handlers.paste=(eo,to)=>{if(eo.state.readOnly)return!0;eo.observer.flush();let ro=brokenClipboardAPI?null:to.clipboardData;return ro?(doPaste(eo,ro.getData("text/plain")||ro.getData("text/uri-list")),!0):(capturePaste(eo),!1)};function captureCopy(eo,to){let ro=eo.dom.parentNode;if(!ro)return;let no=ro.appendChild(document.createElement("textarea"));no.style.cssText="position: fixed; left: -10000px; top: 10px",no.value=to,no.focus(),no.selectionEnd=to.length,no.selectionStart=0,setTimeout(()=>{no.remove(),eo.focus()},50)}function copiedRange(eo){let to=[],ro=[],no=!1;for(let oo of eo.selection.ranges)oo.empty||(to.push(eo.sliceDoc(oo.from,oo.to)),ro.push(oo));if(!to.length){let oo=-1;for(let{from:io}of eo.selection.ranges){let so=eo.doc.lineAt(io);so.number>oo&&(to.push(so.text),ro.push({from:so.from,to:Math.min(eo.doc.length,so.to+1)})),oo=so.number}no=!0}return{text:to.join(eo.lineBreak),ranges:ro,linewise:no}}let lastLinewiseCopy=null;handlers.copy=handlers.cut=(eo,to)=>{let{text:ro,ranges:no,linewise:oo}=copiedRange(eo.state);if(!ro&&!oo)return!1;lastLinewiseCopy=oo?ro:null,to.type=="cut"&&!eo.state.readOnly&&eo.dispatch({changes:no,scrollIntoView:!0,userEvent:"delete.cut"});let io=brokenClipboardAPI?null:to.clipboardData;return io?(io.clearData(),io.setData("text/plain",ro),!0):(captureCopy(eo,ro),!1)};const isFocusChange=Annotation.define();function focusChangeTransaction(eo,to){let ro=[];for(let no of eo.facet(focusChangeEffect)){let oo=no(eo,to);oo&&ro.push(oo)}return ro?eo.update({effects:ro,annotations:isFocusChange.of(!0)}):null}function updateForFocusChange(eo){setTimeout(()=>{let to=eo.hasFocus;if(to!=eo.inputState.notifiedFocused){let ro=focusChangeTransaction(eo.state,to);ro?eo.dispatch(ro):eo.update([])}},10)}observers.focus=eo=>{eo.inputState.lastFocusTime=Date.now(),!eo.scrollDOM.scrollTop&&(eo.inputState.lastScrollTop||eo.inputState.lastScrollLeft)&&(eo.scrollDOM.scrollTop=eo.inputState.lastScrollTop,eo.scrollDOM.scrollLeft=eo.inputState.lastScrollLeft),updateForFocusChange(eo)};observers.blur=eo=>{eo.observer.clearSelectionRange(),updateForFocusChange(eo)};observers.compositionstart=observers.compositionupdate=eo=>{eo.inputState.compositionFirstChange==null&&(eo.inputState.compositionFirstChange=!0),eo.inputState.composing<0&&(eo.inputState.composing=0,eo.docView.maybeCreateCompositionBarrier()&&(eo.update([]),eo.docView.clearCompositionBarrier()))};observers.compositionend=eo=>{eo.inputState.composing=-1,eo.inputState.compositionEndedAt=Date.now(),eo.inputState.compositionPendingKey=!0,eo.inputState.compositionPendingChange=eo.observer.pendingRecords().length>0,eo.inputState.compositionFirstChange=null,browser.chrome&&browser.android?eo.observer.flushSoon():eo.inputState.compositionPendingChange?Promise.resolve().then(()=>eo.observer.flush()):setTimeout(()=>{eo.inputState.composing<0&&eo.docView.hasComposition&&eo.update([])},50)};observers.contextmenu=eo=>{eo.inputState.lastContextMenu=Date.now()};handlers.beforeinput=(eo,to)=>{var ro;let no;if(browser.chrome&&browser.android&&(no=PendingKeys.find(oo=>oo.inputType==to.inputType))&&(eo.observer.delayAndroidKey(no.key,no.keyCode),no.key=="Backspace"||no.key=="Delete")){let oo=((ro=window.visualViewport)===null||ro===void 0?void 0:ro.height)||0;setTimeout(()=>{var io;(((io=window.visualViewport)===null||io===void 0?void 0:io.height)||0)>oo+10&&eo.hasFocus&&(eo.contentDOM.blur(),eo.focus())},100)}return browser.ios&&to.inputType=="deleteContentForward"&&eo.observer.flushSoon(),browser.safari&&to.inputType=="insertText"&&eo.inputState.composing>=0&&setTimeout(()=>observers.compositionend(eo,to),20),!1};const appliedFirefoxHack=new Set;function firefoxCopyCutHack(eo){appliedFirefoxHack.has(eo)||(appliedFirefoxHack.add(eo),eo.addEventListener("copy",()=>{}),eo.addEventListener("cut",()=>{}))}const wrappingWhiteSpace=["pre-wrap","normal","pre-line","break-spaces"];class HeightOracle{constructor(to){this.lineWrapping=to,this.doc=Text$1.empty,this.heightSamples={},this.lineHeight=14,this.charWidth=7,this.textHeight=14,this.lineLength=30,this.heightChanged=!1}heightForGap(to,ro){let no=this.doc.lineAt(ro).number-this.doc.lineAt(to).number+1;return this.lineWrapping&&(no+=Math.max(0,Math.ceil((ro-to-no*this.lineLength*.5)/this.lineLength))),this.lineHeight*no}heightForLine(to){return this.lineWrapping?(1+Math.max(0,Math.ceil((to-this.lineLength)/(this.lineLength-5))))*this.lineHeight:this.lineHeight}setDoc(to){return this.doc=to,this}mustRefreshForWrapping(to){return wrappingWhiteSpace.indexOf(to)>-1!=this.lineWrapping}mustRefreshForHeights(to){let ro=!1;for(let no=0;no<to.length;no++){let oo=to[no];oo<0?no++:this.heightSamples[Math.floor(oo*10)]||(ro=!0,this.heightSamples[Math.floor(oo*10)]=!0)}return ro}refresh(to,ro,no,oo,io,so){let ao=wrappingWhiteSpace.indexOf(to)>-1,lo=Math.round(ro)!=Math.round(this.lineHeight)||this.lineWrapping!=ao;if(this.lineWrapping=ao,this.lineHeight=ro,this.charWidth=no,this.textHeight=oo,this.lineLength=io,lo){this.heightSamples={};for(let uo=0;uo<so.length;uo++){let co=so[uo];co<0?uo++:this.heightSamples[Math.floor(co*10)]=!0}}return lo}}class MeasuredHeights{constructor(to,ro){this.from=to,this.heights=ro,this.index=0}get more(){return this.index<this.heights.length}}class BlockInfo{constructor(to,ro,no,oo,io){this.from=to,this.length=ro,this.top=no,this.height=oo,this._content=io}get type(){return typeof this._content=="number"?BlockType.Text:Array.isArray(this._content)?this._content:this._content.type}get to(){return this.from+this.length}get bottom(){return this.top+this.height}get widget(){return this._content instanceof PointDecoration?this._content.widget:null}get widgetLineBreaks(){return typeof this._content=="number"?this._content:0}join(to){let ro=(Array.isArray(this._content)?this._content:[this]).concat(Array.isArray(to._content)?to._content:[to]);return new BlockInfo(this.from,this.length+to.length,this.top,this.height+to.height,ro)}}var QueryType$1=function(eo){return eo[eo.ByPos=0]="ByPos",eo[eo.ByHeight=1]="ByHeight",eo[eo.ByPosNoHeight=2]="ByPosNoHeight",eo}(QueryType$1||(QueryType$1={}));const Epsilon=.001;class HeightMap{constructor(to,ro,no=2){this.length=to,this.height=ro,this.flags=no}get outdated(){return(this.flags&2)>0}set outdated(to){this.flags=(to?2:0)|this.flags&-3}setHeight(to,ro){this.height!=ro&&(Math.abs(this.height-ro)>Epsilon&&(to.heightChanged=!0),this.height=ro)}replace(to,ro,no){return HeightMap.of(no)}decomposeLeft(to,ro){ro.push(this)}decomposeRight(to,ro){ro.push(this)}applyChanges(to,ro,no,oo){let io=this,so=no.doc;for(let ao=oo.length-1;ao>=0;ao--){let{fromA:lo,toA:uo,fromB:co,toB:fo}=oo[ao],ho=io.lineAt(lo,QueryType$1.ByPosNoHeight,no.setDoc(ro),0,0),po=ho.to>=uo?ho:io.lineAt(uo,QueryType$1.ByPosNoHeight,no,0,0);for(fo+=po.to-uo,uo=po.to;ao>0&&ho.from<=oo[ao-1].toA;)lo=oo[ao-1].fromA,co=oo[ao-1].fromB,ao--,lo<ho.from&&(ho=io.lineAt(lo,QueryType$1.ByPosNoHeight,no,0,0));co+=ho.from-lo,lo=ho.from;let go=NodeBuilder.build(no.setDoc(so),to,co,fo);io=io.replace(lo,uo,go)}return io.updateHeight(no,0)}static empty(){return new HeightMapText(0,0)}static of(to){if(to.length==1)return to[0];let ro=0,no=to.length,oo=0,io=0;for(;;)if(ro==no)if(oo>io*2){let ao=to[ro-1];ao.break?to.splice(--ro,1,ao.left,null,ao.right):to.splice(--ro,1,ao.left,ao.right),no+=1+ao.break,oo-=ao.size}else if(io>oo*2){let ao=to[no];ao.break?to.splice(no,1,ao.left,null,ao.right):to.splice(no,1,ao.left,ao.right),no+=2+ao.break,io-=ao.size}else break;else if(oo<io){let ao=to[ro++];ao&&(oo+=ao.size)}else{let ao=to[--no];ao&&(io+=ao.size)}let so=0;return to[ro-1]==null?(so=1,ro--):to[ro]==null&&(so=1,no++),new HeightMapBranch(HeightMap.of(to.slice(0,ro)),so,HeightMap.of(to.slice(no)))}}HeightMap.prototype.size=1;class HeightMapBlock extends HeightMap{constructor(to,ro,no){super(to,ro),this.deco=no}blockAt(to,ro,no,oo){return new BlockInfo(oo,this.length,no,this.height,this.deco||0)}lineAt(to,ro,no,oo,io){return this.blockAt(0,no,oo,io)}forEachLine(to,ro,no,oo,io,so){to<=io+this.length&&ro>=io&&so(this.blockAt(0,no,oo,io))}updateHeight(to,ro=0,no=!1,oo){return oo&&oo.from<=ro&&oo.more&&this.setHeight(to,oo.heights[oo.index++]),this.outdated=!1,this}toString(){return`block(${this.length})`}}class HeightMapText extends HeightMapBlock{constructor(to,ro){super(to,ro,null),this.collapsed=0,this.widgetHeight=0,this.breaks=0}blockAt(to,ro,no,oo){return new BlockInfo(oo,this.length,no,this.height,this.breaks)}replace(to,ro,no){let oo=no[0];return no.length==1&&(oo instanceof HeightMapText||oo instanceof HeightMapGap&&oo.flags&4)&&Math.abs(this.length-oo.length)<10?(oo instanceof HeightMapGap?oo=new HeightMapText(oo.length,this.height):oo.height=this.height,this.outdated||(oo.outdated=!1),oo):HeightMap.of(no)}updateHeight(to,ro=0,no=!1,oo){return oo&&oo.from<=ro&&oo.more?this.setHeight(to,oo.heights[oo.index++]):(no||this.outdated)&&this.setHeight(to,Math.max(this.widgetHeight,to.heightForLine(this.length-this.collapsed))+this.breaks*to.lineHeight),this.outdated=!1,this}toString(){return`line(${this.length}${this.collapsed?-this.collapsed:""}${this.widgetHeight?":"+this.widgetHeight:""})`}}class HeightMapGap extends HeightMap{constructor(to){super(to,0)}heightMetrics(to,ro){let no=to.doc.lineAt(ro).number,oo=to.doc.lineAt(ro+this.length).number,io=oo-no+1,so,ao=0;if(to.lineWrapping){let lo=Math.min(this.height,to.lineHeight*io);so=lo/io,this.length>io+1&&(ao=(this.height-lo)/(this.length-io-1))}else so=this.height/io;return{firstLine:no,lastLine:oo,perLine:so,perChar:ao}}blockAt(to,ro,no,oo){let{firstLine:io,lastLine:so,perLine:ao,perChar:lo}=this.heightMetrics(ro,oo);if(ro.lineWrapping){let uo=oo+(to<ro.lineHeight?0:Math.round(Math.max(0,Math.min(1,(to-no)/this.height))*this.length)),co=ro.doc.lineAt(uo),fo=ao+co.length*lo,ho=Math.max(no,to-fo/2);return new BlockInfo(co.from,co.length,ho,fo,0)}else{let uo=Math.max(0,Math.min(so-io,Math.floor((to-no)/ao))),{from:co,length:fo}=ro.doc.line(io+uo);return new BlockInfo(co,fo,no+ao*uo,ao,0)}}lineAt(to,ro,no,oo,io){if(ro==QueryType$1.ByHeight)return this.blockAt(to,no,oo,io);if(ro==QueryType$1.ByPosNoHeight){let{from:po,to:go}=no.doc.lineAt(to);return new BlockInfo(po,go-po,0,0,0)}let{firstLine:so,perLine:ao,perChar:lo}=this.heightMetrics(no,io),uo=no.doc.lineAt(to),co=ao+uo.length*lo,fo=uo.number-so,ho=oo+ao*fo+lo*(uo.from-io-fo);return new BlockInfo(uo.from,uo.length,Math.max(oo,Math.min(ho,oo+this.height-co)),co,0)}forEachLine(to,ro,no,oo,io,so){to=Math.max(to,io),ro=Math.min(ro,io+this.length);let{firstLine:ao,perLine:lo,perChar:uo}=this.heightMetrics(no,io);for(let co=to,fo=oo;co<=ro;){let ho=no.doc.lineAt(co);if(co==to){let go=ho.number-ao;fo+=lo*go+uo*(to-io-go)}let po=lo+uo*ho.length;so(new BlockInfo(ho.from,ho.length,fo,po,0)),fo+=po,co=ho.to+1}}replace(to,ro,no){let oo=this.length-ro;if(oo>0){let io=no[no.length-1];io instanceof HeightMapGap?no[no.length-1]=new HeightMapGap(io.length+oo):no.push(null,new HeightMapGap(oo-1))}if(to>0){let io=no[0];io instanceof HeightMapGap?no[0]=new HeightMapGap(to+io.length):no.unshift(new HeightMapGap(to-1),null)}return HeightMap.of(no)}decomposeLeft(to,ro){ro.push(new HeightMapGap(to-1),null)}decomposeRight(to,ro){ro.push(null,new HeightMapGap(this.length-to-1))}updateHeight(to,ro=0,no=!1,oo){let io=ro+this.length;if(oo&&oo.from<=ro+this.length&&oo.more){let so=[],ao=Math.max(ro,oo.from),lo=-1;for(oo.from>ro&&so.push(new HeightMapGap(oo.from-ro-1).updateHeight(to,ro));ao<=io&&oo.more;){let co=to.doc.lineAt(ao).length;so.length&&so.push(null);let fo=oo.heights[oo.index++];lo==-1?lo=fo:Math.abs(fo-lo)>=Epsilon&&(lo=-2);let ho=new HeightMapText(co,fo);ho.outdated=!1,so.push(ho),ao+=co+1}ao<=io&&so.push(null,new HeightMapGap(io-ao).updateHeight(to,ao));let uo=HeightMap.of(so);return(lo<0||Math.abs(uo.height-this.height)>=Epsilon||Math.abs(lo-this.heightMetrics(to,ro).perLine)>=Epsilon)&&(to.heightChanged=!0),uo}else(no||this.outdated)&&(this.setHeight(to,to.heightForGap(ro,ro+this.length)),this.outdated=!1);return this}toString(){return`gap(${this.length})`}}class HeightMapBranch extends HeightMap{constructor(to,ro,no){super(to.length+ro+no.length,to.height+no.height,ro|(to.outdated||no.outdated?2:0)),this.left=to,this.right=no,this.size=to.size+no.size}get break(){return this.flags&1}blockAt(to,ro,no,oo){let io=no+this.left.height;return to<io?this.left.blockAt(to,ro,no,oo):this.right.blockAt(to,ro,io,oo+this.left.length+this.break)}lineAt(to,ro,no,oo,io){let so=oo+this.left.height,ao=io+this.left.length+this.break,lo=ro==QueryType$1.ByHeight?to<so:to<ao,uo=lo?this.left.lineAt(to,ro,no,oo,io):this.right.lineAt(to,ro,no,so,ao);if(this.break||(lo?uo.to<ao:uo.from>ao))return uo;let co=ro==QueryType$1.ByPosNoHeight?QueryType$1.ByPosNoHeight:QueryType$1.ByPos;return lo?uo.join(this.right.lineAt(ao,co,no,so,ao)):this.left.lineAt(ao,co,no,oo,io).join(uo)}forEachLine(to,ro,no,oo,io,so){let ao=oo+this.left.height,lo=io+this.left.length+this.break;if(this.break)to<lo&&this.left.forEachLine(to,ro,no,oo,io,so),ro>=lo&&this.right.forEachLine(to,ro,no,ao,lo,so);else{let uo=this.lineAt(lo,QueryType$1.ByPos,no,oo,io);to<uo.from&&this.left.forEachLine(to,uo.from-1,no,oo,io,so),uo.to>=to&&uo.from<=ro&&so(uo),ro>uo.to&&this.right.forEachLine(uo.to+1,ro,no,ao,lo,so)}}replace(to,ro,no){let oo=this.left.length+this.break;if(ro<oo)return this.balanced(this.left.replace(to,ro,no),this.right);if(to>this.left.length)return this.balanced(this.left,this.right.replace(to-oo,ro-oo,no));let io=[];to>0&&this.decomposeLeft(to,io);let so=io.length;for(let ao of no)io.push(ao);if(to>0&&mergeGaps(io,so-1),ro<this.length){let ao=io.length;this.decomposeRight(ro,io),mergeGaps(io,ao)}return HeightMap.of(io)}decomposeLeft(to,ro){let no=this.left.length;if(to<=no)return this.left.decomposeLeft(to,ro);ro.push(this.left),this.break&&(no++,to>=no&&ro.push(null)),to>no&&this.right.decomposeLeft(to-no,ro)}decomposeRight(to,ro){let no=this.left.length,oo=no+this.break;if(to>=oo)return this.right.decomposeRight(to-oo,ro);to<no&&this.left.decomposeRight(to,ro),this.break&&to<oo&&ro.push(null),ro.push(this.right)}balanced(to,ro){return to.size>2*ro.size||ro.size>2*to.size?HeightMap.of(this.break?[to,null,ro]:[to,ro]):(this.left=to,this.right=ro,this.height=to.height+ro.height,this.outdated=to.outdated||ro.outdated,this.size=to.size+ro.size,this.length=to.length+this.break+ro.length,this)}updateHeight(to,ro=0,no=!1,oo){let{left:io,right:so}=this,ao=ro+io.length+this.break,lo=null;return oo&&oo.from<=ro+io.length&&oo.more?lo=io=io.updateHeight(to,ro,no,oo):io.updateHeight(to,ro,no),oo&&oo.from<=ao+so.length&&oo.more?lo=so=so.updateHeight(to,ao,no,oo):so.updateHeight(to,ao,no),lo?this.balanced(io,so):(this.height=this.left.height+this.right.height,this.outdated=!1,this)}toString(){return this.left+(this.break?" ":"-")+this.right}}function mergeGaps(eo,to){let ro,no;eo[to]==null&&(ro=eo[to-1])instanceof HeightMapGap&&(no=eo[to+1])instanceof HeightMapGap&&eo.splice(to-1,3,new HeightMapGap(ro.length+1+no.length))}const relevantWidgetHeight=5;class NodeBuilder{constructor(to,ro){this.pos=to,this.oracle=ro,this.nodes=[],this.lineStart=-1,this.lineEnd=-1,this.covering=null,this.writtenTo=to}get isCovered(){return this.covering&&this.nodes[this.nodes.length-1]==this.covering}span(to,ro){if(this.lineStart>-1){let no=Math.min(ro,this.lineEnd),oo=this.nodes[this.nodes.length-1];oo instanceof HeightMapText?oo.length+=no-this.pos:(no>this.pos||!this.isCovered)&&this.nodes.push(new HeightMapText(no-this.pos,-1)),this.writtenTo=no,ro>no&&(this.nodes.push(null),this.writtenTo++,this.lineStart=-1)}this.pos=ro}point(to,ro,no){if(to<ro||no.heightRelevant){let oo=no.widget?no.widget.estimatedHeight:0,io=no.widget?no.widget.lineBreaks:0;oo<0&&(oo=this.oracle.lineHeight);let so=ro-to;no.block?this.addBlock(new HeightMapBlock(so,oo,no)):(so||io||oo>=relevantWidgetHeight)&&this.addLineDeco(oo,io,so)}else ro>to&&this.span(to,ro);this.lineEnd>-1&&this.lineEnd<this.pos&&(this.lineEnd=this.oracle.doc.lineAt(this.pos).to)}enterLine(){if(this.lineStart>-1)return;let{from:to,to:ro}=this.oracle.doc.lineAt(this.pos);this.lineStart=to,this.lineEnd=ro,this.writtenTo<to&&((this.writtenTo<to-1||this.nodes[this.nodes.length-1]==null)&&this.nodes.push(this.blankContent(this.writtenTo,to-1)),this.nodes.push(null)),this.pos>to&&this.nodes.push(new HeightMapText(this.pos-to,-1)),this.writtenTo=this.pos}blankContent(to,ro){let no=new HeightMapGap(ro-to);return this.oracle.doc.lineAt(to).to==ro&&(no.flags|=4),no}ensureLine(){this.enterLine();let to=this.nodes.length?this.nodes[this.nodes.length-1]:null;if(to instanceof HeightMapText)return to;let ro=new HeightMapText(0,-1);return this.nodes.push(ro),ro}addBlock(to){this.enterLine();let ro=to.deco;ro&&ro.startSide>0&&!this.isCovered&&this.ensureLine(),this.nodes.push(to),this.writtenTo=this.pos=this.pos+to.length,ro&&ro.endSide>0&&(this.covering=to)}addLineDeco(to,ro,no){let oo=this.ensureLine();oo.length+=no,oo.collapsed+=no,oo.widgetHeight=Math.max(oo.widgetHeight,to),oo.breaks+=ro,this.writtenTo=this.pos=this.pos+no}finish(to){let ro=this.nodes.length==0?null:this.nodes[this.nodes.length-1];this.lineStart>-1&&!(ro instanceof HeightMapText)&&!this.isCovered?this.nodes.push(new HeightMapText(0,-1)):(this.writtenTo<this.pos||ro==null)&&this.nodes.push(this.blankContent(this.writtenTo,this.pos));let no=to;for(let oo of this.nodes)oo instanceof HeightMapText&&oo.updateHeight(this.oracle,no),no+=oo?oo.length:1;return this.nodes}static build(to,ro,no,oo){let io=new NodeBuilder(no,to);return RangeSet.spans(ro,no,oo,io,0),io.finish(no)}}function heightRelevantDecoChanges(eo,to,ro){let no=new DecorationComparator;return RangeSet.compare(eo,to,ro,no,0),no.changes}class DecorationComparator{constructor(){this.changes=[]}compareRange(){}comparePoint(to,ro,no,oo){(to<ro||no&&no.heightRelevant||oo&&oo.heightRelevant)&&addRange(to,ro,this.changes,5)}}function visiblePixelRange(eo,to){let ro=eo.getBoundingClientRect(),no=eo.ownerDocument,oo=no.defaultView||window,io=Math.max(0,ro.left),so=Math.min(oo.innerWidth,ro.right),ao=Math.max(0,ro.top),lo=Math.min(oo.innerHeight,ro.bottom);for(let uo=eo.parentNode;uo&&uo!=no.body;)if(uo.nodeType==1){let co=uo,fo=window.getComputedStyle(co);if((co.scrollHeight>co.clientHeight||co.scrollWidth>co.clientWidth)&&fo.overflow!="visible"){let ho=co.getBoundingClientRect();io=Math.max(io,ho.left),so=Math.min(so,ho.right),ao=Math.max(ao,ho.top),lo=uo==eo.parentNode?ho.bottom:Math.min(lo,ho.bottom)}uo=fo.position=="absolute"||fo.position=="fixed"?co.offsetParent:co.parentNode}else if(uo.nodeType==11)uo=uo.host;else break;return{left:io-ro.left,right:Math.max(io,so)-ro.left,top:ao-(ro.top+to),bottom:Math.max(ao,lo)-(ro.top+to)}}function fullPixelRange(eo,to){let ro=eo.getBoundingClientRect();return{left:0,right:ro.right-ro.left,top:to,bottom:ro.bottom-(ro.top+to)}}class LineGap{constructor(to,ro,no){this.from=to,this.to=ro,this.size=no}static same(to,ro){if(to.length!=ro.length)return!1;for(let no=0;no<to.length;no++){let oo=to[no],io=ro[no];if(oo.from!=io.from||oo.to!=io.to||oo.size!=io.size)return!1}return!0}draw(to,ro){return Decoration.replace({widget:new LineGapWidget(this.size*(ro?to.scaleY:to.scaleX),ro)}).range(this.from,this.to)}}class LineGapWidget extends WidgetType{constructor(to,ro){super(),this.size=to,this.vertical=ro}eq(to){return to.size==this.size&&to.vertical==this.vertical}toDOM(){let to=document.createElement("div");return this.vertical?to.style.height=this.size+"px":(to.style.width=this.size+"px",to.style.height="2px",to.style.display="inline-block"),to}get estimatedHeight(){return this.vertical?this.size:-1}}class ViewState{constructor(to){this.state=to,this.pixelViewport={left:0,right:window.innerWidth,top:0,bottom:0},this.inView=!0,this.paddingTop=0,this.paddingBottom=0,this.contentDOMWidth=0,this.contentDOMHeight=0,this.editorHeight=0,this.editorWidth=0,this.scrollTop=0,this.scrolledToBottom=!0,this.scaleX=1,this.scaleY=1,this.scrollAnchorPos=0,this.scrollAnchorHeight=-1,this.scaler=IdScaler,this.scrollTarget=null,this.printing=!1,this.mustMeasureContent=!0,this.defaultTextDirection=Direction.LTR,this.visibleRanges=[],this.mustEnforceCursorAssoc=!1;let ro=to.facet(contentAttributes).some(no=>typeof no!="function"&&no.class=="cm-lineWrapping");this.heightOracle=new HeightOracle(ro),this.stateDeco=to.facet(decorations).filter(no=>typeof no!="function"),this.heightMap=HeightMap.empty().applyChanges(this.stateDeco,Text$1.empty,this.heightOracle.setDoc(to.doc),[new ChangedRange(0,0,0,to.doc.length)]),this.viewport=this.getViewport(0,null),this.updateViewportLines(),this.updateForViewport(),this.lineGaps=this.ensureLineGaps([]),this.lineGapDeco=Decoration.set(this.lineGaps.map(no=>no.draw(this,!1))),this.computeVisibleRanges()}updateForViewport(){let to=[this.viewport],{main:ro}=this.state.selection;for(let no=0;no<=1;no++){let oo=no?ro.head:ro.anchor;if(!to.some(({from:io,to:so})=>oo>=io&&oo<=so)){let{from:io,to:so}=this.lineBlockAt(oo);to.push(new Viewport(io,so))}}this.viewports=to.sort((no,oo)=>no.from-oo.from),this.scaler=this.heightMap.height<=7e6?IdScaler:new BigScaler(this.heightOracle,this.heightMap,this.viewports)}updateViewportLines(){this.viewportLines=[],this.heightMap.forEachLine(this.viewport.from,this.viewport.to,this.heightOracle.setDoc(this.state.doc),0,0,to=>{this.viewportLines.push(this.scaler.scale==1?to:scaleBlock(to,this.scaler))})}update(to,ro=null){this.state=to.state;let no=this.stateDeco;this.stateDeco=this.state.facet(decorations).filter(co=>typeof co!="function");let oo=to.changedRanges,io=ChangedRange.extendWithRanges(oo,heightRelevantDecoChanges(no,this.stateDeco,to?to.changes:ChangeSet.empty(this.state.doc.length))),so=this.heightMap.height,ao=this.scrolledToBottom?null:this.scrollAnchorAt(this.scrollTop);this.heightMap=this.heightMap.applyChanges(this.stateDeco,to.startState.doc,this.heightOracle.setDoc(this.state.doc),io),this.heightMap.height!=so&&(to.flags|=2),ao?(this.scrollAnchorPos=to.changes.mapPos(ao.from,-1),this.scrollAnchorHeight=ao.top):(this.scrollAnchorPos=-1,this.scrollAnchorHeight=this.heightMap.height);let lo=io.length?this.mapViewport(this.viewport,to.changes):this.viewport;(ro&&(ro.range.head<lo.from||ro.range.head>lo.to)||!this.viewportIsAppropriate(lo))&&(lo=this.getViewport(0,ro));let uo=!to.changes.empty||to.flags&2||lo.from!=this.viewport.from||lo.to!=this.viewport.to;this.viewport=lo,this.updateForViewport(),uo&&this.updateViewportLines(),(this.lineGaps.length||this.viewport.to-this.viewport.from>4e3)&&this.updateLineGaps(this.ensureLineGaps(this.mapLineGaps(this.lineGaps,to.changes))),to.flags|=this.computeVisibleRanges(),ro&&(this.scrollTarget=ro),!this.mustEnforceCursorAssoc&&to.selectionSet&&to.view.lineWrapping&&to.state.selection.main.empty&&to.state.selection.main.assoc&&!to.state.facet(nativeSelectionHidden)&&(this.mustEnforceCursorAssoc=!0)}measure(to){let ro=to.contentDOM,no=window.getComputedStyle(ro),oo=this.heightOracle,io=no.whiteSpace;this.defaultTextDirection=no.direction=="rtl"?Direction.RTL:Direction.LTR;let so=this.heightOracle.mustRefreshForWrapping(io),ao=ro.getBoundingClientRect(),lo=so||this.mustMeasureContent||this.contentDOMHeight!=ao.height;this.contentDOMHeight=ao.height,this.mustMeasureContent=!1;let uo=0,co=0;if(ao.width&&ao.height){let{scaleX:So,scaleY:To}=getScale(ro,ao);(So>.005&&Math.abs(this.scaleX-So)>.005||To>.005&&Math.abs(this.scaleY-To)>.005)&&(this.scaleX=So,this.scaleY=To,uo|=8,so=lo=!0)}let fo=(parseInt(no.paddingTop)||0)*this.scaleY,ho=(parseInt(no.paddingBottom)||0)*this.scaleY;(this.paddingTop!=fo||this.paddingBottom!=ho)&&(this.paddingTop=fo,this.paddingBottom=ho,uo|=10),this.editorWidth!=to.scrollDOM.clientWidth&&(oo.lineWrapping&&(lo=!0),this.editorWidth=to.scrollDOM.clientWidth,uo|=8);let po=to.scrollDOM.scrollTop*this.scaleY;this.scrollTop!=po&&(this.scrollAnchorHeight=-1,this.scrollTop=po),this.scrolledToBottom=isScrolledToBottom(to.scrollDOM);let go=(this.printing?fullPixelRange:visiblePixelRange)(ro,this.paddingTop),vo=go.top-this.pixelViewport.top,bo=go.bottom-this.pixelViewport.bottom;this.pixelViewport=go;let xo=this.pixelViewport.bottom>this.pixelViewport.top&&this.pixelViewport.right>this.pixelViewport.left;if(xo!=this.inView&&(this.inView=xo,xo&&(lo=!0)),!this.inView&&!this.scrollTarget)return 0;let _o=ao.width;if((this.contentDOMWidth!=_o||this.editorHeight!=to.scrollDOM.clientHeight)&&(this.contentDOMWidth=ao.width,this.editorHeight=to.scrollDOM.clientHeight,uo|=8),lo){let So=to.docView.measureVisibleLineHeights(this.viewport);if(oo.mustRefreshForHeights(So)&&(so=!0),so||oo.lineWrapping&&Math.abs(_o-this.contentDOMWidth)>oo.charWidth){let{lineHeight:To,charWidth:wo,textHeight:Co}=to.docView.measureTextSize();so=To>0&&oo.refresh(io,To,wo,Co,_o/wo,So),so&&(to.docView.minWidth=0,uo|=8)}vo>0&&bo>0?co=Math.max(vo,bo):vo<0&&bo<0&&(co=Math.min(vo,bo)),oo.heightChanged=!1;for(let To of this.viewports){let wo=To.from==this.viewport.from?So:to.docView.measureVisibleLineHeights(To);this.heightMap=(so?HeightMap.empty().applyChanges(this.stateDeco,Text$1.empty,this.heightOracle,[new ChangedRange(0,0,0,to.state.doc.length)]):this.heightMap).updateHeight(oo,0,so,new MeasuredHeights(To.from,wo))}oo.heightChanged&&(uo|=2)}let Eo=!this.viewportIsAppropriate(this.viewport,co)||this.scrollTarget&&(this.scrollTarget.range.head<this.viewport.from||this.scrollTarget.range.head>this.viewport.to);return Eo&&(this.viewport=this.getViewport(co,this.scrollTarget)),this.updateForViewport(),(uo&2||Eo)&&this.updateViewportLines(),(this.lineGaps.length||this.viewport.to-this.viewport.from>4e3)&&this.updateLineGaps(this.ensureLineGaps(so?[]:this.lineGaps,to)),uo|=this.computeVisibleRanges(),this.mustEnforceCursorAssoc&&(this.mustEnforceCursorAssoc=!1,to.docView.enforceCursorAssoc()),uo}get visibleTop(){return this.scaler.fromDOM(this.pixelViewport.top)}get visibleBottom(){return this.scaler.fromDOM(this.pixelViewport.bottom)}getViewport(to,ro){let no=.5-Math.max(-.5,Math.min(.5,to/1e3/2)),oo=this.heightMap,io=this.heightOracle,{visibleTop:so,visibleBottom:ao}=this,lo=new Viewport(oo.lineAt(so-no*1e3,QueryType$1.ByHeight,io,0,0).from,oo.lineAt(ao+(1-no)*1e3,QueryType$1.ByHeight,io,0,0).to);if(ro){let{head:uo}=ro.range;if(uo<lo.from||uo>lo.to){let co=Math.min(this.editorHeight,this.pixelViewport.bottom-this.pixelViewport.top),fo=oo.lineAt(uo,QueryType$1.ByPos,io,0,0),ho;ro.y=="center"?ho=(fo.top+fo.bottom)/2-co/2:ro.y=="start"||ro.y=="nearest"&&uo<lo.from?ho=fo.top:ho=fo.bottom-co,lo=new Viewport(oo.lineAt(ho-1e3/2,QueryType$1.ByHeight,io,0,0).from,oo.lineAt(ho+co+1e3/2,QueryType$1.ByHeight,io,0,0).to)}}return lo}mapViewport(to,ro){let no=ro.mapPos(to.from,-1),oo=ro.mapPos(to.to,1);return new Viewport(this.heightMap.lineAt(no,QueryType$1.ByPos,this.heightOracle,0,0).from,this.heightMap.lineAt(oo,QueryType$1.ByPos,this.heightOracle,0,0).to)}viewportIsAppropriate({from:to,to:ro},no=0){if(!this.inView)return!0;let{top:oo}=this.heightMap.lineAt(to,QueryType$1.ByPos,this.heightOracle,0,0),{bottom:io}=this.heightMap.lineAt(ro,QueryType$1.ByPos,this.heightOracle,0,0),{visibleTop:so,visibleBottom:ao}=this;return(to==0||oo<=so-Math.max(10,Math.min(-no,250)))&&(ro==this.state.doc.length||io>=ao+Math.max(10,Math.min(no,250)))&&oo>so-2*1e3&&io<ao+2*1e3}mapLineGaps(to,ro){if(!to.length||ro.empty)return to;let no=[];for(let oo of to)ro.touchesRange(oo.from,oo.to)||no.push(new LineGap(ro.mapPos(oo.from),ro.mapPos(oo.to),oo.size));return no}ensureLineGaps(to,ro){let no=this.heightOracle.lineWrapping,oo=no?1e4:2e3,io=oo>>1,so=oo<<1;if(this.defaultTextDirection!=Direction.LTR&&!no)return[];let ao=[],lo=(uo,co,fo,ho)=>{if(co-uo<io)return;let po=this.state.selection.main,go=[po.from];po.empty||go.push(po.to);for(let bo of go)if(bo>uo&&bo<co){lo(uo,bo-10,fo,ho),lo(bo+10,co,fo,ho);return}let vo=find(to,bo=>bo.from>=fo.from&&bo.to<=fo.to&&Math.abs(bo.from-uo)<io&&Math.abs(bo.to-co)<io&&!go.some(xo=>bo.from<xo&&bo.to>xo));if(!vo){if(co<fo.to&&ro&&no&&ro.visibleRanges.some(bo=>bo.from<=co&&bo.to>=co)){let bo=ro.moveToLineBoundary(EditorSelection.cursor(co),!1,!0).head;bo>uo&&(co=bo)}vo=new LineGap(uo,co,this.gapSize(fo,uo,co,ho))}ao.push(vo)};for(let uo of this.viewportLines){if(uo.length<so)continue;let co=lineStructure(uo.from,uo.to,this.stateDeco);if(co.total<so)continue;let fo=this.scrollTarget?this.scrollTarget.range.head:null,ho,po;if(no){let go=oo/this.heightOracle.lineLength*this.heightOracle.lineHeight,vo,bo;if(fo!=null){let xo=findFraction(co,fo),_o=((this.visibleBottom-this.visibleTop)/2+go)/uo.height;vo=xo-_o,bo=xo+_o}else vo=(this.visibleTop-uo.top-go)/uo.height,bo=(this.visibleBottom-uo.top+go)/uo.height;ho=findPosition(co,vo),po=findPosition(co,bo)}else{let go=co.total*this.heightOracle.charWidth,vo=oo*this.heightOracle.charWidth,bo,xo;if(fo!=null){let _o=findFraction(co,fo),Eo=((this.pixelViewport.right-this.pixelViewport.left)/2+vo)/go;bo=_o-Eo,xo=_o+Eo}else bo=(this.pixelViewport.left-vo)/go,xo=(this.pixelViewport.right+vo)/go;ho=findPosition(co,bo),po=findPosition(co,xo)}ho>uo.from&&lo(uo.from,ho,uo,co),po<uo.to&&lo(po,uo.to,uo,co)}return ao}gapSize(to,ro,no,oo){let io=findFraction(oo,no)-findFraction(oo,ro);return this.heightOracle.lineWrapping?to.height*io:oo.total*this.heightOracle.charWidth*io}updateLineGaps(to){LineGap.same(to,this.lineGaps)||(this.lineGaps=to,this.lineGapDeco=Decoration.set(to.map(ro=>ro.draw(this,this.heightOracle.lineWrapping))))}computeVisibleRanges(){let to=this.stateDeco;this.lineGaps.length&&(to=to.concat(this.lineGapDeco));let ro=[];RangeSet.spans(to,this.viewport.from,this.viewport.to,{span(oo,io){ro.push({from:oo,to:io})},point(){}},20);let no=ro.length!=this.visibleRanges.length||this.visibleRanges.some((oo,io)=>oo.from!=ro[io].from||oo.to!=ro[io].to);return this.visibleRanges=ro,no?4:0}lineBlockAt(to){return to>=this.viewport.from&&to<=this.viewport.to&&this.viewportLines.find(ro=>ro.from<=to&&ro.to>=to)||scaleBlock(this.heightMap.lineAt(to,QueryType$1.ByPos,this.heightOracle,0,0),this.scaler)}lineBlockAtHeight(to){return scaleBlock(this.heightMap.lineAt(this.scaler.fromDOM(to),QueryType$1.ByHeight,this.heightOracle,0,0),this.scaler)}scrollAnchorAt(to){let ro=this.lineBlockAtHeight(to+8);return ro.from>=this.viewport.from||this.viewportLines[0].top-to>200?ro:this.viewportLines[0]}elementAtHeight(to){return scaleBlock(this.heightMap.blockAt(this.scaler.fromDOM(to),this.heightOracle,0,0),this.scaler)}get docHeight(){return this.scaler.toDOM(this.heightMap.height)}get contentHeight(){return this.docHeight+this.paddingTop+this.paddingBottom}}class Viewport{constructor(to,ro){this.from=to,this.to=ro}}function lineStructure(eo,to,ro){let no=[],oo=eo,io=0;return RangeSet.spans(ro,eo,to,{span(){},point(so,ao){so>oo&&(no.push({from:oo,to:so}),io+=so-oo),oo=ao}},20),oo<to&&(no.push({from:oo,to}),io+=to-oo),{total:io,ranges:no}}function findPosition({total:eo,ranges:to},ro){if(ro<=0)return to[0].from;if(ro>=1)return to[to.length-1].to;let no=Math.floor(eo*ro);for(let oo=0;;oo++){let{from:io,to:so}=to[oo],ao=so-io;if(no<=ao)return io+no;no-=ao}}function findFraction(eo,to){let ro=0;for(let{from:no,to:oo}of eo.ranges){if(to<=oo){ro+=to-no;break}ro+=oo-no}return ro/eo.total}function find(eo,to){for(let ro of eo)if(to(ro))return ro}const IdScaler={toDOM(eo){return eo},fromDOM(eo){return eo},scale:1};class BigScaler{constructor(to,ro,no){let oo=0,io=0,so=0;this.viewports=no.map(({from:ao,to:lo})=>{let uo=ro.lineAt(ao,QueryType$1.ByPos,to,0,0).top,co=ro.lineAt(lo,QueryType$1.ByPos,to,0,0).bottom;return oo+=co-uo,{from:ao,to:lo,top:uo,bottom:co,domTop:0,domBottom:0}}),this.scale=(7e6-oo)/(ro.height-oo);for(let ao of this.viewports)ao.domTop=so+(ao.top-io)*this.scale,so=ao.domBottom=ao.domTop+(ao.bottom-ao.top),io=ao.bottom}toDOM(to){for(let ro=0,no=0,oo=0;;ro++){let io=ro<this.viewports.length?this.viewports[ro]:null;if(!io||to<io.top)return oo+(to-no)*this.scale;if(to<=io.bottom)return io.domTop+(to-io.top);no=io.bottom,oo=io.domBottom}}fromDOM(to){for(let ro=0,no=0,oo=0;;ro++){let io=ro<this.viewports.length?this.viewports[ro]:null;if(!io||to<io.domTop)return no+(to-oo)/this.scale;if(to<=io.domBottom)return io.top+(to-io.domTop);no=io.bottom,oo=io.domBottom}}}function scaleBlock(eo,to){if(to.scale==1)return eo;let ro=to.toDOM(eo.top),no=to.toDOM(eo.bottom);return new BlockInfo(eo.from,eo.length,ro,no-ro,Array.isArray(eo._content)?eo._content.map(oo=>scaleBlock(oo,to)):eo._content)}const theme=Facet.define({combine:eo=>eo.join(" ")}),darkTheme=Facet.define({combine:eo=>eo.indexOf(!0)>-1}),baseThemeID=StyleModule.newName(),baseLightID=StyleModule.newName(),baseDarkID=StyleModule.newName(),lightDarkIDs={"&light":"."+baseLightID,"&dark":"."+baseDarkID};function buildTheme(eo,to,ro){return new StyleModule(to,{finish(no){return/&/.test(no)?no.replace(/&\w*/,oo=>{if(oo=="&")return eo;if(!ro||!ro[oo])throw new RangeError(`Unsupported selector: ${oo}`);return ro[oo]}):eo+" "+no}})}const baseTheme$1$2=buildTheme("."+baseThemeID,{"&":{position:"relative !important",boxSizing:"border-box","&.cm-focused":{outline:"1px dotted #212121"},display:"flex !important",flexDirection:"column"},".cm-scroller":{display:"flex !important",alignItems:"flex-start !important",fontFamily:"monospace",lineHeight:1.4,height:"100%",overflowX:"auto",position:"relative",zIndex:0},".cm-content":{margin:0,flexGrow:2,flexShrink:0,display:"block",whiteSpace:"pre",wordWrap:"normal",boxSizing:"border-box",minHeight:"100%",padding:"4px 0",outline:"none","&[contenteditable=true]":{WebkitUserModify:"read-write-plaintext-only"}},".cm-lineWrapping":{whiteSpace_fallback:"pre-wrap",whiteSpace:"break-spaces",wordBreak:"break-word",overflowWrap:"anywhere",flexShrink:1},"&light .cm-content":{caretColor:"black"},"&dark .cm-content":{caretColor:"white"},".cm-line":{display:"block",padding:"0 2px 0 6px"},".cm-layer":{position:"absolute",left:0,top:0,contain:"size style","& > *":{position:"absolute"}},"&light .cm-selectionBackground":{background:"#d9d9d9"},"&dark .cm-selectionBackground":{background:"#222"},"&light.cm-focused > .cm-scroller > .cm-selectionLayer .cm-selectionBackground":{background:"#d7d4f0"},"&dark.cm-focused > .cm-scroller > .cm-selectionLayer .cm-selectionBackground":{background:"#233"},".cm-cursorLayer":{pointerEvents:"none"},"&.cm-focused > .cm-scroller > .cm-cursorLayer":{animation:"steps(1) cm-blink 1.2s infinite"},"@keyframes cm-blink":{"0%":{},"50%":{opacity:0},"100%":{}},"@keyframes cm-blink2":{"0%":{},"50%":{opacity:0},"100%":{}},".cm-cursor, .cm-dropCursor":{borderLeft:"1.2px solid black",marginLeft:"-0.6px",pointerEvents:"none"},".cm-cursor":{display:"none"},"&dark .cm-cursor":{borderLeftColor:"#444"},".cm-dropCursor":{position:"absolute"},"&.cm-focused > .cm-scroller > .cm-cursorLayer .cm-cursor":{display:"block"},".cm-iso":{unicodeBidi:"isolate"},".cm-announced":{position:"fixed",top:"-10000px"},"@media print":{".cm-announced":{display:"none"}},"&light .cm-activeLine":{backgroundColor:"#cceeff44"},"&dark .cm-activeLine":{backgroundColor:"#99eeff33"},"&light .cm-specialChar":{color:"red"},"&dark .cm-specialChar":{color:"#f78"},".cm-gutters":{flexShrink:0,display:"flex",height:"100%",boxSizing:"border-box",insetInlineStart:0,zIndex:200},"&light .cm-gutters":{backgroundColor:"#f5f5f5",color:"#6c6c6c",borderRight:"1px solid #ddd"},"&dark .cm-gutters":{backgroundColor:"#333338",color:"#ccc"},".cm-gutter":{display:"flex !important",flexDirection:"column",flexShrink:0,boxSizing:"border-box",minHeight:"100%",overflow:"hidden"},".cm-gutterElement":{boxSizing:"border-box"},".cm-lineNumbers .cm-gutterElement":{padding:"0 3px 0 5px",minWidth:"20px",textAlign:"right",whiteSpace:"nowrap"},"&light .cm-activeLineGutter":{backgroundColor:"#e2f2ff"},"&dark .cm-activeLineGutter":{backgroundColor:"#222227"},".cm-panels":{boxSizing:"border-box",position:"sticky",left:0,right:0},"&light .cm-panels":{backgroundColor:"#f5f5f5",color:"black"},"&light .cm-panels-top":{borderBottom:"1px solid #ddd"},"&light .cm-panels-bottom":{borderTop:"1px solid #ddd"},"&dark .cm-panels":{backgroundColor:"#333338",color:"white"},".cm-tab":{display:"inline-block",overflow:"hidden",verticalAlign:"bottom"},".cm-widgetBuffer":{verticalAlign:"text-top",height:"1em",width:0,display:"inline"},".cm-placeholder":{color:"#888",display:"inline-block",verticalAlign:"top"},".cm-highlightSpace:before":{content:"attr(data-display)",position:"absolute",pointerEvents:"none",color:"#888"},".cm-highlightTab":{backgroundImage:`url('data:image/svg+xml,<svg xmlns="http://www.w3.org/2000/svg" width="200" height="20"><path stroke="%23888" stroke-width="1" fill="none" d="M1 10H196L190 5M190 15L196 10M197 4L197 16"/></svg>')`,backgroundSize:"auto 100%",backgroundPosition:"right 90%",backgroundRepeat:"no-repeat"},".cm-trailingSpace":{backgroundColor:"#ff332255"},".cm-button":{verticalAlign:"middle",color:"inherit",fontSize:"70%",padding:".2em 1em",borderRadius:"1px"},"&light .cm-button":{backgroundImage:"linear-gradient(#eff1f5, #d9d9df)",border:"1px solid #888","&:active":{backgroundImage:"linear-gradient(#b4b4b4, #d0d3d6)"}},"&dark .cm-button":{backgroundImage:"linear-gradient(#393939, #111)",border:"1px solid #888","&:active":{backgroundImage:"linear-gradient(#111, #333)"}},".cm-textfield":{verticalAlign:"middle",color:"inherit",fontSize:"70%",border:"1px solid silver",padding:".2em .5em"},"&light .cm-textfield":{backgroundColor:"white"},"&dark .cm-textfield":{border:"1px solid #555",backgroundColor:"inherit"}},lightDarkIDs),LineBreakPlaceholder="￿";class DOMReader{constructor(to,ro){this.points=to,this.text="",this.lineSeparator=ro.facet(EditorState.lineSeparator)}append(to){this.text+=to}lineBreak(){this.text+=LineBreakPlaceholder}readRange(to,ro){if(!to)return this;let no=to.parentNode;for(let oo=to;;){this.findPointBefore(no,oo);let io=this.text.length;this.readNode(oo);let so=oo.nextSibling;if(so==ro)break;let ao=ContentView.get(oo),lo=ContentView.get(so);(ao&&lo?ao.breakAfter:(ao?ao.breakAfter:isBlockElement(oo))||isBlockElement(so)&&(oo.nodeName!="BR"||oo.cmIgnore)&&this.text.length>io)&&this.lineBreak(),oo=so}return this.findPointBefore(no,ro),this}readTextNode(to){let ro=to.nodeValue;for(let no of this.points)no.node==to&&(no.pos=this.text.length+Math.min(no.offset,ro.length));for(let no=0,oo=this.lineSeparator?null:/\r\n?|\n/g;;){let io=-1,so=1,ao;if(this.lineSeparator?(io=ro.indexOf(this.lineSeparator,no),so=this.lineSeparator.length):(ao=oo.exec(ro))&&(io=ao.index,so=ao[0].length),this.append(ro.slice(no,io<0?ro.length:io)),io<0)break;if(this.lineBreak(),so>1)for(let lo of this.points)lo.node==to&&lo.pos>this.text.length&&(lo.pos-=so-1);no=io+so}}readNode(to){if(to.cmIgnore)return;let ro=ContentView.get(to),no=ro&&ro.overrideDOMText;if(no!=null){this.findPointInside(to,no.length);for(let oo=no.iter();!oo.next().done;)oo.lineBreak?this.lineBreak():this.append(oo.value)}else to.nodeType==3?this.readTextNode(to):to.nodeName=="BR"?to.nextSibling&&this.lineBreak():to.nodeType==1&&this.readRange(to.firstChild,null)}findPointBefore(to,ro){for(let no of this.points)no.node==to&&to.childNodes[no.offset]==ro&&(no.pos=this.text.length)}findPointInside(to,ro){for(let no of this.points)(to.nodeType==3?no.node==to:to.contains(no.node))&&(no.pos=this.text.length+(isAtEnd(to,no.node,no.offset)?ro:0))}}function isAtEnd(eo,to,ro){for(;;){if(!to||ro<maxOffset(to))return!1;if(to==eo)return!0;ro=domIndex(to)+1,to=to.parentNode}}class DOMPoint{constructor(to,ro){this.node=to,this.offset=ro,this.pos=-1}}class DOMChange{constructor(to,ro,no,oo){this.typeOver=oo,this.bounds=null,this.text="";let{impreciseHead:io,impreciseAnchor:so}=to.docView;if(to.state.readOnly&&ro>-1)this.newSel=null;else if(ro>-1&&(this.bounds=to.docView.domBoundsAround(ro,no,0))){let ao=io||so?[]:selectionPoints(to),lo=new DOMReader(ao,to.state);lo.readRange(this.bounds.startDOM,this.bounds.endDOM),this.text=lo.text,this.newSel=selectionFromPoints(ao,this.bounds.from)}else{let ao=to.observer.selectionRange,lo=io&&io.node==ao.focusNode&&io.offset==ao.focusOffset||!contains(to.contentDOM,ao.focusNode)?to.state.selection.main.head:to.docView.posFromDOM(ao.focusNode,ao.focusOffset),uo=so&&so.node==ao.anchorNode&&so.offset==ao.anchorOffset||!contains(to.contentDOM,ao.anchorNode)?to.state.selection.main.anchor:to.docView.posFromDOM(ao.anchorNode,ao.anchorOffset),co=to.viewport;if((browser.ios||browser.chrome)&&to.state.selection.main.empty&&lo!=uo&&(co.from>0||co.to<to.state.doc.length)){let fo=Math.min(lo,uo),ho=Math.max(lo,uo),po=co.from-fo,go=co.to-ho;(po==0||po==1||fo==0)&&(go==0||go==-1||ho==to.state.doc.length)&&(lo=0,uo=to.state.doc.length)}this.newSel=EditorSelection.single(uo,lo)}}}function applyDOMChange(eo,to){let ro,{newSel:no}=to,oo=eo.state.selection.main,io=eo.inputState.lastKeyTime>Date.now()-100?eo.inputState.lastKeyCode:-1;if(to.bounds){let{from:so,to:ao}=to.bounds,lo=oo.from,uo=null;(io===8||browser.android&&to.text.length<ao-so)&&(lo=oo.to,uo="end");let co=findDiff(eo.state.doc.sliceString(so,ao,LineBreakPlaceholder),to.text,lo-so,uo);co&&(browser.chrome&&io==13&&co.toB==co.from+2&&to.text.slice(co.from,co.toB)==LineBreakPlaceholder+LineBreakPlaceholder&&co.toB--,ro={from:so+co.from,to:so+co.toA,insert:Text$1.of(to.text.slice(co.from,co.toB).split(LineBreakPlaceholder))})}else no&&(!eo.hasFocus&&eo.state.facet(editable)||no.main.eq(oo))&&(no=null);if(!ro&&!no)return!1;if(!ro&&to.typeOver&&!oo.empty&&no&&no.main.empty?ro={from:oo.from,to:oo.to,insert:eo.state.doc.slice(oo.from,oo.to)}:ro&&ro.from>=oo.from&&ro.to<=oo.to&&(ro.from!=oo.from||ro.to!=oo.to)&&oo.to-oo.from-(ro.to-ro.from)<=4?ro={from:oo.from,to:oo.to,insert:eo.state.doc.slice(oo.from,ro.from).append(ro.insert).append(eo.state.doc.slice(ro.to,oo.to))}:(browser.mac||browser.android)&&ro&&ro.from==ro.to&&ro.from==oo.head-1&&/^\. ?$/.test(ro.insert.toString())&&eo.contentDOM.getAttribute("autocorrect")=="off"?(no&&ro.insert.length==2&&(no=EditorSelection.single(no.main.anchor-1,no.main.head-1)),ro={from:oo.from,to:oo.to,insert:Text$1.of([" "])}):browser.chrome&&ro&&ro.from==ro.to&&ro.from==oo.head&&ro.insert.toString()==`
+ `&&eo.lineWrapping&&(no&&(no=EditorSelection.single(no.main.anchor-1,no.main.head-1)),ro={from:oo.from,to:oo.to,insert:Text$1.of([" "])}),ro){if(browser.ios&&eo.inputState.flushIOSKey(ro)||browser.android&&(ro.to==oo.to&&(ro.from==oo.from||ro.from==oo.from-1&&eo.state.sliceDoc(ro.from,oo.from)==" ")&&ro.insert.length==1&&ro.insert.lines==2&&dispatchKey(eo.contentDOM,"Enter",13)||(ro.from==oo.from-1&&ro.to==oo.to&&ro.insert.length==0||io==8&&ro.insert.length<ro.to-ro.from&&ro.to>oo.head)&&dispatchKey(eo.contentDOM,"Backspace",8)||ro.from==oo.from&&ro.to==oo.to+1&&ro.insert.length==0&&dispatchKey(eo.contentDOM,"Delete",46)))return!0;let so=ro.insert.toString();eo.inputState.composing>=0&&eo.inputState.composing++;let ao,lo=()=>ao||(ao=applyDefaultInsert(eo,ro,no));return eo.state.facet(inputHandler$1).some(uo=>uo(eo,ro.from,ro.to,so,lo))||eo.dispatch(lo()),!0}else if(no&&!no.main.eq(oo)){let so=!1,ao="select";return eo.inputState.lastSelectionTime>Date.now()-50&&(eo.inputState.lastSelectionOrigin=="select"&&(so=!0),ao=eo.inputState.lastSelectionOrigin),eo.dispatch({selection:no,scrollIntoView:so,userEvent:ao}),!0}else return!1}function applyDefaultInsert(eo,to,ro){let no,oo=eo.state,io=oo.selection.main;if(to.from>=io.from&&to.to<=io.to&&to.to-to.from>=(io.to-io.from)/3&&(!ro||ro.main.empty&&ro.main.from==to.from+to.insert.length)&&eo.inputState.composing<0){let ao=io.from<to.from?oo.sliceDoc(io.from,to.from):"",lo=io.to>to.to?oo.sliceDoc(to.to,io.to):"";no=oo.replaceSelection(eo.state.toText(ao+to.insert.sliceString(0,void 0,eo.state.lineBreak)+lo))}else{let ao=oo.changes(to),lo=ro&&ro.main.to<=ao.newLength?ro.main:void 0;if(oo.selection.ranges.length>1&&eo.inputState.composing>=0&&to.to<=io.to&&to.to>=io.to-10){let uo=eo.state.sliceDoc(to.from,to.to),co,fo=ro&&findCompositionNode(eo,ro.main.head);if(fo){let go=to.insert.length-(to.to-to.from);co={from:fo.from,to:fo.to-go}}else co=eo.state.doc.lineAt(io.head);let ho=io.to-to.to,po=io.to-io.from;no=oo.changeByRange(go=>{if(go.from==io.from&&go.to==io.to)return{changes:ao,range:lo||go.map(ao)};let vo=go.to-ho,bo=vo-uo.length;if(go.to-go.from!=po||eo.state.sliceDoc(bo,vo)!=uo||go.to>=co.from&&go.from<=co.to)return{range:go};let xo=oo.changes({from:bo,to:vo,insert:to.insert}),_o=go.to-io.to;return{changes:xo,range:lo?EditorSelection.range(Math.max(0,lo.anchor+_o),Math.max(0,lo.head+_o)):go.map(xo)}})}else no={changes:ao,selection:lo&&oo.selection.replaceRange(lo)}}let so="input.type";return(eo.composing||eo.inputState.compositionPendingChange&&eo.inputState.compositionEndedAt>Date.now()-50)&&(eo.inputState.compositionPendingChange=!1,so+=".compose",eo.inputState.compositionFirstChange&&(so+=".start",eo.inputState.compositionFirstChange=!1)),oo.update(no,{userEvent:so,scrollIntoView:!0})}function findDiff(eo,to,ro,no){let oo=Math.min(eo.length,to.length),io=0;for(;io<oo&&eo.charCodeAt(io)==to.charCodeAt(io);)io++;if(io==oo&&eo.length==to.length)return null;let so=eo.length,ao=to.length;for(;so>0&&ao>0&&eo.charCodeAt(so-1)==to.charCodeAt(ao-1);)so--,ao--;if(no=="end"){let lo=Math.max(0,io-Math.min(so,ao));ro-=so+lo-io}if(so<io&&eo.length<to.length){let lo=ro<=io&&ro>=so?io-ro:0;io-=lo,ao=io+(ao-so),so=io}else if(ao<io){let lo=ro<=io&&ro>=ao?io-ro:0;io-=lo,so=io+(so-ao),ao=io}return{from:io,toA:so,toB:ao}}function selectionPoints(eo){let to=[];if(eo.root.activeElement!=eo.contentDOM)return to;let{anchorNode:ro,anchorOffset:no,focusNode:oo,focusOffset:io}=eo.observer.selectionRange;return ro&&(to.push(new DOMPoint(ro,no)),(oo!=ro||io!=no)&&to.push(new DOMPoint(oo,io))),to}function selectionFromPoints(eo,to){if(eo.length==0)return null;let ro=eo[0].pos,no=eo.length==2?eo[1].pos:ro;return ro>-1&&no>-1?EditorSelection.single(ro+to,no+to):null}const observeOptions={childList:!0,characterData:!0,subtree:!0,attributes:!0,characterDataOldValue:!0},useCharData=browser.ie&&browser.ie_version<=11;class DOMObserver{constructor(to){this.view=to,this.active=!1,this.selectionRange=new DOMSelectionState,this.selectionChanged=!1,this.delayedFlush=-1,this.resizeTimeout=-1,this.queue=[],this.delayedAndroidKey=null,this.flushingAndroidKey=-1,this.lastChange=0,this.scrollTargets=[],this.intersection=null,this.resizeScroll=null,this.intersecting=!1,this.gapIntersection=null,this.gaps=[],this.printQuery=null,this.parentCheck=-1,this.dom=to.contentDOM,this.observer=new MutationObserver(ro=>{for(let no of ro)this.queue.push(no);(browser.ie&&browser.ie_version<=11||browser.ios&&to.composing)&&ro.some(no=>no.type=="childList"&&no.removedNodes.length||no.type=="characterData"&&no.oldValue.length>no.target.nodeValue.length)?this.flushSoon():this.flush()}),useCharData&&(this.onCharData=ro=>{this.queue.push({target:ro.target,type:"characterData",oldValue:ro.prevValue}),this.flushSoon()}),this.onSelectionChange=this.onSelectionChange.bind(this),this.onResize=this.onResize.bind(this),this.onPrint=this.onPrint.bind(this),this.onScroll=this.onScroll.bind(this),window.matchMedia&&(this.printQuery=window.matchMedia("print")),typeof ResizeObserver=="function"&&(this.resizeScroll=new ResizeObserver(()=>{var ro;((ro=this.view.docView)===null||ro===void 0?void 0:ro.lastUpdate)<Date.now()-75&&this.onResize()}),this.resizeScroll.observe(to.scrollDOM)),this.addWindowListeners(this.win=to.win),this.start(),typeof IntersectionObserver=="function"&&(this.intersection=new IntersectionObserver(ro=>{this.parentCheck<0&&(this.parentCheck=setTimeout(this.listenForScroll.bind(this),1e3)),ro.length>0&&ro[ro.length-1].intersectionRatio>0!=this.intersecting&&(this.intersecting=!this.intersecting,this.intersecting!=this.view.inView&&this.onScrollChanged(document.createEvent("Event")))},{threshold:[0,.001]}),this.intersection.observe(this.dom),this.gapIntersection=new IntersectionObserver(ro=>{ro.length>0&&ro[ro.length-1].intersectionRatio>0&&this.onScrollChanged(document.createEvent("Event"))},{})),this.listenForScroll(),this.readSelectionRange()}onScrollChanged(to){this.view.inputState.runHandlers("scroll",to),this.intersecting&&this.view.measure()}onScroll(to){this.intersecting&&this.flush(!1),this.onScrollChanged(to)}onResize(){this.resizeTimeout<0&&(this.resizeTimeout=setTimeout(()=>{this.resizeTimeout=-1,this.view.requestMeasure()},50))}onPrint(to){to.type=="change"&&!to.matches||(this.view.viewState.printing=!0,this.view.measure(),setTimeout(()=>{this.view.viewState.printing=!1,this.view.requestMeasure()},500))}updateGaps(to){if(this.gapIntersection&&(to.length!=this.gaps.length||this.gaps.some((ro,no)=>ro!=to[no]))){this.gapIntersection.disconnect();for(let ro of to)this.gapIntersection.observe(ro);this.gaps=to}}onSelectionChange(to){let ro=this.selectionChanged;if(!this.readSelectionRange()||this.delayedAndroidKey)return;let{view:no}=this,oo=this.selectionRange;if(no.state.facet(editable)?no.root.activeElement!=this.dom:!hasSelection(no.dom,oo))return;let io=oo.anchorNode&&no.docView.nearest(oo.anchorNode);if(io&&io.ignoreEvent(to)){ro||(this.selectionChanged=!1);return}(browser.ie&&browser.ie_version<=11||browser.android&&browser.chrome)&&!no.state.selection.main.empty&&oo.focusNode&&isEquivalentPosition(oo.focusNode,oo.focusOffset,oo.anchorNode,oo.anchorOffset)?this.flushSoon():this.flush(!1)}readSelectionRange(){let{view:to}=this,ro=browser.safari&&to.root.nodeType==11&&deepActiveElement(this.dom.ownerDocument)==this.dom&&safariSelectionRangeHack(this.view)||getSelection(to.root);if(!ro||this.selectionRange.eq(ro))return!1;let no=hasSelection(this.dom,ro);return no&&!this.selectionChanged&&to.inputState.lastFocusTime>Date.now()-200&&to.inputState.lastTouchTime<Date.now()-300&&atElementStart(this.dom,ro)?(this.view.inputState.lastFocusTime=0,to.docView.updateSelection(),!1):(this.selectionRange.setRange(ro),no&&(this.selectionChanged=!0),!0)}setSelectionRange(to,ro){this.selectionRange.set(to.node,to.offset,ro.node,ro.offset),this.selectionChanged=!1}clearSelectionRange(){this.selectionRange.set(null,0,null,0)}listenForScroll(){this.parentCheck=-1;let to=0,ro=null;for(let no=this.dom;no;)if(no.nodeType==1)!ro&&to<this.scrollTargets.length&&this.scrollTargets[to]==no?to++:ro||(ro=this.scrollTargets.slice(0,to)),ro&&ro.push(no),no=no.assignedSlot||no.parentNode;else if(no.nodeType==11)no=no.host;else break;if(to<this.scrollTargets.length&&!ro&&(ro=this.scrollTargets.slice(0,to)),ro){for(let no of this.scrollTargets)no.removeEventListener("scroll",this.onScroll);for(let no of this.scrollTargets=ro)no.addEventListener("scroll",this.onScroll)}}ignore(to){if(!this.active)return to();try{return this.stop(),to()}finally{this.start(),this.clear()}}start(){this.active||(this.observer.observe(this.dom,observeOptions),useCharData&&this.dom.addEventListener("DOMCharacterDataModified",this.onCharData),this.active=!0)}stop(){this.active&&(this.active=!1,this.observer.disconnect(),useCharData&&this.dom.removeEventListener("DOMCharacterDataModified",this.onCharData))}clear(){this.processRecords(),this.queue.length=0,this.selectionChanged=!1}delayAndroidKey(to,ro){var no;if(!this.delayedAndroidKey){let oo=()=>{let io=this.delayedAndroidKey;io&&(this.clearDelayedAndroidKey(),this.view.inputState.lastKeyCode=io.keyCode,this.view.inputState.lastKeyTime=Date.now(),!this.flush()&&io.force&&dispatchKey(this.dom,io.key,io.keyCode))};this.flushingAndroidKey=this.view.win.requestAnimationFrame(oo)}(!this.delayedAndroidKey||to=="Enter")&&(this.delayedAndroidKey={key:to,keyCode:ro,force:this.lastChange<Date.now()-50||!!(!((no=this.delayedAndroidKey)===null||no===void 0)&&no.force)})}clearDelayedAndroidKey(){this.win.cancelAnimationFrame(this.flushingAndroidKey),this.delayedAndroidKey=null,this.flushingAndroidKey=-1}flushSoon(){this.delayedFlush<0&&(this.delayedFlush=this.view.win.requestAnimationFrame(()=>{this.delayedFlush=-1,this.flush()}))}forceFlush(){this.delayedFlush>=0&&(this.view.win.cancelAnimationFrame(this.delayedFlush),this.delayedFlush=-1),this.flush()}pendingRecords(){for(let to of this.observer.takeRecords())this.queue.push(to);return this.queue}processRecords(){let to=this.pendingRecords();to.length&&(this.queue=[]);let ro=-1,no=-1,oo=!1;for(let io of to){let so=this.readMutation(io);so&&(so.typeOver&&(oo=!0),ro==-1?{from:ro,to:no}=so:(ro=Math.min(so.from,ro),no=Math.max(so.to,no)))}return{from:ro,to:no,typeOver:oo}}readChange(){let{from:to,to:ro,typeOver:no}=this.processRecords(),oo=this.selectionChanged&&hasSelection(this.dom,this.selectionRange);if(to<0&&!oo)return null;to>-1&&(this.lastChange=Date.now()),this.view.inputState.lastFocusTime=0,this.selectionChanged=!1;let io=new DOMChange(this.view,to,ro,no);return this.view.docView.domChanged={newSel:io.newSel?io.newSel.main:null},io}flush(to=!0){if(this.delayedFlush>=0||this.delayedAndroidKey)return!1;to&&this.readSelectionRange();let ro=this.readChange();if(!ro)return this.view.requestMeasure(),!1;let no=this.view.state,oo=applyDOMChange(this.view,ro);return this.view.state==no&&this.view.update([]),oo}readMutation(to){let ro=this.view.docView.nearest(to.target);if(!ro||ro.ignoreMutation(to))return null;if(ro.markDirty(to.type=="attributes"),to.type=="attributes"&&(ro.flags|=4),to.type=="childList"){let no=findChild(ro,to.previousSibling||to.target.previousSibling,-1),oo=findChild(ro,to.nextSibling||to.target.nextSibling,1);return{from:no?ro.posAfter(no):ro.posAtStart,to:oo?ro.posBefore(oo):ro.posAtEnd,typeOver:!1}}else return to.type=="characterData"?{from:ro.posAtStart,to:ro.posAtEnd,typeOver:to.target.nodeValue==to.oldValue}:null}setWindow(to){to!=this.win&&(this.removeWindowListeners(this.win),this.win=to,this.addWindowListeners(this.win))}addWindowListeners(to){to.addEventListener("resize",this.onResize),this.printQuery?this.printQuery.addEventListener("change",this.onPrint):to.addEventListener("beforeprint",this.onPrint),to.addEventListener("scroll",this.onScroll),to.document.addEventListener("selectionchange",this.onSelectionChange)}removeWindowListeners(to){to.removeEventListener("scroll",this.onScroll),to.removeEventListener("resize",this.onResize),this.printQuery?this.printQuery.removeEventListener("change",this.onPrint):to.removeEventListener("beforeprint",this.onPrint),to.document.removeEventListener("selectionchange",this.onSelectionChange)}destroy(){var to,ro,no;this.stop(),(to=this.intersection)===null||to===void 0||to.disconnect(),(ro=this.gapIntersection)===null||ro===void 0||ro.disconnect(),(no=this.resizeScroll)===null||no===void 0||no.disconnect();for(let oo of this.scrollTargets)oo.removeEventListener("scroll",this.onScroll);this.removeWindowListeners(this.win),clearTimeout(this.parentCheck),clearTimeout(this.resizeTimeout),this.win.cancelAnimationFrame(this.delayedFlush),this.win.cancelAnimationFrame(this.flushingAndroidKey)}}function findChild(eo,to,ro){for(;to;){let no=ContentView.get(to);if(no&&no.parent==eo)return no;let oo=to.parentNode;to=oo!=eo.dom?oo:ro>0?to.nextSibling:to.previousSibling}return null}function safariSelectionRangeHack(eo){let to=null;function ro(lo){lo.preventDefault(),lo.stopImmediatePropagation(),to=lo.getTargetRanges()[0]}if(eo.contentDOM.addEventListener("beforeinput",ro,!0),eo.dom.ownerDocument.execCommand("indent"),eo.contentDOM.removeEventListener("beforeinput",ro,!0),!to)return null;let no=to.startContainer,oo=to.startOffset,io=to.endContainer,so=to.endOffset,ao=eo.docView.domAtPos(eo.state.selection.main.anchor);return isEquivalentPosition(ao.node,ao.offset,io,so)&&([no,oo,io,so]=[io,so,no,oo]),{anchorNode:no,anchorOffset:oo,focusNode:io,focusOffset:so}}class EditorView{get state(){return this.viewState.state}get viewport(){return this.viewState.viewport}get visibleRanges(){return this.viewState.visibleRanges}get inView(){return this.viewState.inView}get composing(){return this.inputState.composing>0}get compositionStarted(){return this.inputState.composing>=0}get root(){return this._root}get win(){return this.dom.ownerDocument.defaultView||window}constructor(to={}){this.plugins=[],this.pluginMap=new Map,this.editorAttrs={},this.contentAttrs={},this.bidiCache=[],this.destroyed=!1,this.updateState=2,this.measureScheduled=-1,this.measureRequests=[],this.contentDOM=document.createElement("div"),this.scrollDOM=document.createElement("div"),this.scrollDOM.tabIndex=-1,this.scrollDOM.className="cm-scroller",this.scrollDOM.appendChild(this.contentDOM),this.announceDOM=document.createElement("div"),this.announceDOM.className="cm-announced",this.announceDOM.setAttribute("aria-live","polite"),this.dom=document.createElement("div"),this.dom.appendChild(this.announceDOM),this.dom.appendChild(this.scrollDOM),to.parent&&to.parent.appendChild(this.dom);let{dispatch:ro}=to;this.dispatchTransactions=to.dispatchTransactions||ro&&(no=>no.forEach(oo=>ro(oo,this)))||(no=>this.update(no)),this.dispatch=this.dispatch.bind(this),this._root=to.root||getRoot(to.parent)||document,this.viewState=new ViewState(to.state||EditorState.create(to)),to.scrollTo&&to.scrollTo.is(scrollIntoView$1)&&(this.viewState.scrollTarget=to.scrollTo.value.clip(this.viewState.state)),this.plugins=this.state.facet(viewPlugin).map(no=>new PluginInstance(no));for(let no of this.plugins)no.update(this);this.observer=new DOMObserver(this),this.inputState=new InputState(this),this.inputState.ensureHandlers(this.plugins),this.docView=new DocView(this),this.mountStyles(),this.updateAttrs(),this.updateState=0,this.requestMeasure()}dispatch(...to){let ro=to.length==1&&to[0]instanceof Transaction?to:to.length==1&&Array.isArray(to[0])?to[0]:[this.state.update(...to)];this.dispatchTransactions(ro,this)}update(to){if(this.updateState!=0)throw new Error("Calls to EditorView.update are not allowed while an update is in progress");let ro=!1,no=!1,oo,io=this.state;for(let ho of to){if(ho.startState!=io)throw new RangeError("Trying to update state with a transaction that doesn't start from the previous state.");io=ho.state}if(this.destroyed){this.viewState.state=io;return}let so=this.hasFocus,ao=0,lo=null;to.some(ho=>ho.annotation(isFocusChange))?(this.inputState.notifiedFocused=so,ao=1):so!=this.inputState.notifiedFocused&&(this.inputState.notifiedFocused=so,lo=focusChangeTransaction(io,so),lo||(ao=1));let uo=this.observer.delayedAndroidKey,co=null;if(uo?(this.observer.clearDelayedAndroidKey(),co=this.observer.readChange(),(co&&!this.state.doc.eq(io.doc)||!this.state.selection.eq(io.selection))&&(co=null)):this.observer.clear(),io.facet(EditorState.phrases)!=this.state.facet(EditorState.phrases))return this.setState(io);oo=ViewUpdate.create(this,io,to),oo.flags|=ao;let fo=this.viewState.scrollTarget;try{this.updateState=2;for(let ho of to){if(fo&&(fo=fo.map(ho.changes)),ho.scrollIntoView){let{main:po}=ho.state.selection;fo=new ScrollTarget(po.empty?po:EditorSelection.cursor(po.head,po.head>po.anchor?-1:1))}for(let po of ho.effects)po.is(scrollIntoView$1)&&(fo=po.value.clip(this.state))}this.viewState.update(oo,fo),this.bidiCache=CachedOrder.update(this.bidiCache,oo.changes),oo.empty||(this.updatePlugins(oo),this.inputState.update(oo)),ro=this.docView.update(oo),this.state.facet(styleModule)!=this.styleModules&&this.mountStyles(),no=this.updateAttrs(),this.showAnnouncements(to),this.docView.updateSelection(ro,to.some(ho=>ho.isUserEvent("select.pointer")))}finally{this.updateState=0}if(oo.startState.facet(theme)!=oo.state.facet(theme)&&(this.viewState.mustMeasureContent=!0),(ro||no||fo||this.viewState.mustEnforceCursorAssoc||this.viewState.mustMeasureContent)&&this.requestMeasure(),ro&&this.docViewUpdate(),!oo.empty)for(let ho of this.state.facet(updateListener))try{ho(oo)}catch(po){logException(this.state,po,"update listener")}(lo||co)&&Promise.resolve().then(()=>{lo&&this.state==lo.startState&&this.dispatch(lo),co&&!applyDOMChange(this,co)&&uo.force&&dispatchKey(this.contentDOM,uo.key,uo.keyCode)})}setState(to){if(this.updateState!=0)throw new Error("Calls to EditorView.setState are not allowed while an update is in progress");if(this.destroyed){this.viewState.state=to;return}this.updateState=2;let ro=this.hasFocus;try{for(let no of this.plugins)no.destroy(this);this.viewState=new ViewState(to),this.plugins=to.facet(viewPlugin).map(no=>new PluginInstance(no)),this.pluginMap.clear();for(let no of this.plugins)no.update(this);this.docView.destroy(),this.docView=new DocView(this),this.inputState.ensureHandlers(this.plugins),this.mountStyles(),this.updateAttrs(),this.bidiCache=[]}finally{this.updateState=0}ro&&this.focus(),this.requestMeasure()}updatePlugins(to){let ro=to.startState.facet(viewPlugin),no=to.state.facet(viewPlugin);if(ro!=no){let oo=[];for(let io of no){let so=ro.indexOf(io);if(so<0)oo.push(new PluginInstance(io));else{let ao=this.plugins[so];ao.mustUpdate=to,oo.push(ao)}}for(let io of this.plugins)io.mustUpdate!=to&&io.destroy(this);this.plugins=oo,this.pluginMap.clear()}else for(let oo of this.plugins)oo.mustUpdate=to;for(let oo=0;oo<this.plugins.length;oo++)this.plugins[oo].update(this);ro!=no&&this.inputState.ensureHandlers(this.plugins)}docViewUpdate(){for(let to of this.plugins){let ro=to.value;if(ro&&ro.docViewUpdate)try{ro.docViewUpdate(this)}catch(no){logException(this.state,no,"doc view update listener")}}}measure(to=!0){if(this.destroyed)return;if(this.measureScheduled>-1&&this.win.cancelAnimationFrame(this.measureScheduled),this.observer.delayedAndroidKey){this.measureScheduled=-1,this.requestMeasure();return}this.measureScheduled=0,to&&this.observer.forceFlush();let ro=null,no=this.scrollDOM,oo=no.scrollTop*this.scaleY,{scrollAnchorPos:io,scrollAnchorHeight:so}=this.viewState;Math.abs(oo-this.viewState.scrollTop)>1&&(so=-1),this.viewState.scrollAnchorHeight=-1;try{for(let ao=0;;ao++){if(so<0)if(isScrolledToBottom(no))io=-1,so=this.viewState.heightMap.height;else{let po=this.viewState.scrollAnchorAt(oo);io=po.from,so=po.top}this.updateState=1;let lo=this.viewState.measure(this);if(!lo&&!this.measureRequests.length&&this.viewState.scrollTarget==null)break;if(ao>5){console.warn(this.measureRequests.length?"Measure loop restarted more than 5 times":"Viewport failed to stabilize");break}let uo=[];lo&4||([this.measureRequests,uo]=[uo,this.measureRequests]);let co=uo.map(po=>{try{return po.read(this)}catch(go){return logException(this.state,go),BadMeasure}}),fo=ViewUpdate.create(this,this.state,[]),ho=!1;fo.flags|=lo,ro?ro.flags|=lo:ro=fo,this.updateState=2,fo.empty||(this.updatePlugins(fo),this.inputState.update(fo),this.updateAttrs(),ho=this.docView.update(fo),ho&&this.docViewUpdate());for(let po=0;po<uo.length;po++)if(co[po]!=BadMeasure)try{let go=uo[po];go.write&&go.write(co[po],this)}catch(go){logException(this.state,go)}if(ho&&this.docView.updateSelection(!0),!fo.viewportChanged&&this.measureRequests.length==0){if(this.viewState.editorHeight)if(this.viewState.scrollTarget){this.docView.scrollIntoView(this.viewState.scrollTarget),this.viewState.scrollTarget=null,so=-1;continue}else{let go=(io<0?this.viewState.heightMap.height:this.viewState.lineBlockAt(io).top)-so;if(go>1||go<-1){oo=oo+go,no.scrollTop=oo/this.scaleY,so=-1;continue}}break}}}finally{this.updateState=0,this.measureScheduled=-1}if(ro&&!ro.empty)for(let ao of this.state.facet(updateListener))ao(ro)}get themeClasses(){return baseThemeID+" "+(this.state.facet(darkTheme)?baseDarkID:baseLightID)+" "+this.state.facet(theme)}updateAttrs(){let to=attrsFromFacet(this,editorAttributes,{class:"cm-editor"+(this.hasFocus?" cm-focused ":" ")+this.themeClasses}),ro={spellcheck:"false",autocorrect:"off",autocapitalize:"off",translate:"no",contenteditable:this.state.facet(editable)?"true":"false",class:"cm-content",style:`${browser.tabSize}: ${this.state.tabSize}`,role:"textbox","aria-multiline":"true"};this.state.readOnly&&(ro["aria-readonly"]="true"),attrsFromFacet(this,contentAttributes,ro);let no=this.observer.ignore(()=>{let oo=updateAttrs(this.contentDOM,this.contentAttrs,ro),io=updateAttrs(this.dom,this.editorAttrs,to);return oo||io});return this.editorAttrs=to,this.contentAttrs=ro,no}showAnnouncements(to){let ro=!0;for(let no of to)for(let oo of no.effects)if(oo.is(EditorView.announce)){ro&&(this.announceDOM.textContent=""),ro=!1;let io=this.announceDOM.appendChild(document.createElement("div"));io.textContent=oo.value}}mountStyles(){this.styleModules=this.state.facet(styleModule);let to=this.state.facet(EditorView.cspNonce);StyleModule.mount(this.root,this.styleModules.concat(baseTheme$1$2).reverse(),to?{nonce:to}:void 0)}readMeasured(){if(this.updateState==2)throw new Error("Reading the editor layout isn't allowed during an update");this.updateState==0&&this.measureScheduled>-1&&this.measure(!1)}requestMeasure(to){if(this.measureScheduled<0&&(this.measureScheduled=this.win.requestAnimationFrame(()=>this.measure())),to){if(this.measureRequests.indexOf(to)>-1)return;if(to.key!=null){for(let ro=0;ro<this.measureRequests.length;ro++)if(this.measureRequests[ro].key===to.key){this.measureRequests[ro]=to;return}}this.measureRequests.push(to)}}plugin(to){let ro=this.pluginMap.get(to);return(ro===void 0||ro&&ro.spec!=to)&&this.pluginMap.set(to,ro=this.plugins.find(no=>no.spec==to)||null),ro&&ro.update(this).value}get documentTop(){return this.contentDOM.getBoundingClientRect().top+this.viewState.paddingTop}get documentPadding(){return{top:this.viewState.paddingTop,bottom:this.viewState.paddingBottom}}get scaleX(){return this.viewState.scaleX}get scaleY(){return this.viewState.scaleY}elementAtHeight(to){return this.readMeasured(),this.viewState.elementAtHeight(to)}lineBlockAtHeight(to){return this.readMeasured(),this.viewState.lineBlockAtHeight(to)}get viewportLineBlocks(){return this.viewState.viewportLines}lineBlockAt(to){return this.viewState.lineBlockAt(to)}get contentHeight(){return this.viewState.contentHeight}moveByChar(to,ro,no){return skipAtoms(this,to,moveByChar(this,to,ro,no))}moveByGroup(to,ro){return skipAtoms(this,to,moveByChar(this,to,ro,no=>byGroup(this,to.head,no)))}visualLineSide(to,ro){let no=this.bidiSpans(to),oo=this.textDirectionAt(to.from),io=no[ro?no.length-1:0];return EditorSelection.cursor(io.side(ro,oo)+to.from,io.forward(!ro,oo)?1:-1)}moveToLineBoundary(to,ro,no=!0){return moveToLineBoundary(this,to,ro,no)}moveVertically(to,ro,no){return skipAtoms(this,to,moveVertically(this,to,ro,no))}domAtPos(to){return this.docView.domAtPos(to)}posAtDOM(to,ro=0){return this.docView.posFromDOM(to,ro)}posAtCoords(to,ro=!0){return this.readMeasured(),posAtCoords(this,to,ro)}coordsAtPos(to,ro=1){this.readMeasured();let no=this.docView.coordsAt(to,ro);if(!no||no.left==no.right)return no;let oo=this.state.doc.lineAt(to),io=this.bidiSpans(oo),so=io[BidiSpan.find(io,to-oo.from,-1,ro)];return flattenRect(no,so.dir==Direction.LTR==ro>0)}coordsForChar(to){return this.readMeasured(),this.docView.coordsForChar(to)}get defaultCharacterWidth(){return this.viewState.heightOracle.charWidth}get defaultLineHeight(){return this.viewState.heightOracle.lineHeight}get textDirection(){return this.viewState.defaultTextDirection}textDirectionAt(to){return!this.state.facet(perLineTextDirection)||to<this.viewport.from||to>this.viewport.to?this.textDirection:(this.readMeasured(),this.docView.textDirectionAt(to))}get lineWrapping(){return this.viewState.heightOracle.lineWrapping}bidiSpans(to){if(to.length>MaxBidiLine)return trivialOrder(to.length);let ro=this.textDirectionAt(to.from),no;for(let io of this.bidiCache)if(io.from==to.from&&io.dir==ro&&(io.fresh||isolatesEq(io.isolates,no=getIsolatedRanges(this,to))))return io.order;no||(no=getIsolatedRanges(this,to));let oo=computeOrder(to.text,ro,no);return this.bidiCache.push(new CachedOrder(to.from,to.to,ro,no,!0,oo)),oo}get hasFocus(){var to;return(this.dom.ownerDocument.hasFocus()||browser.safari&&((to=this.inputState)===null||to===void 0?void 0:to.lastContextMenu)>Date.now()-3e4)&&this.root.activeElement==this.contentDOM}focus(){this.observer.ignore(()=>{focusPreventScroll(this.contentDOM),this.docView.updateSelection()})}setRoot(to){this._root!=to&&(this._root=to,this.observer.setWindow((to.nodeType==9?to:to.ownerDocument).defaultView||window),this.mountStyles())}destroy(){for(let to of this.plugins)to.destroy(this);this.plugins=[],this.inputState.destroy(),this.docView.destroy(),this.dom.remove(),this.observer.destroy(),this.measureScheduled>-1&&this.win.cancelAnimationFrame(this.measureScheduled),this.destroyed=!0}static scrollIntoView(to,ro={}){return scrollIntoView$1.of(new ScrollTarget(typeof to=="number"?EditorSelection.cursor(to):to,ro.y,ro.x,ro.yMargin,ro.xMargin))}scrollSnapshot(){let{scrollTop:to,scrollLeft:ro}=this.scrollDOM,no=this.viewState.scrollAnchorAt(to);return scrollIntoView$1.of(new ScrollTarget(EditorSelection.cursor(no.from),"start","start",no.top-to,ro,!0))}static domEventHandlers(to){return ViewPlugin.define(()=>({}),{eventHandlers:to})}static domEventObservers(to){return ViewPlugin.define(()=>({}),{eventObservers:to})}static theme(to,ro){let no=StyleModule.newName(),oo=[theme.of(no),styleModule.of(buildTheme(`.${no}`,to))];return ro&&ro.dark&&oo.push(darkTheme.of(!0)),oo}static baseTheme(to){return Prec.lowest(styleModule.of(buildTheme("."+baseThemeID,to,lightDarkIDs)))}static findFromDOM(to){var ro;let no=to.querySelector(".cm-content"),oo=no&&ContentView.get(no)||ContentView.get(to);return((ro=oo==null?void 0:oo.rootView)===null||ro===void 0?void 0:ro.view)||null}}EditorView.styleModule=styleModule;EditorView.inputHandler=inputHandler$1;EditorView.scrollHandler=scrollHandler;EditorView.focusChangeEffect=focusChangeEffect;EditorView.perLineTextDirection=perLineTextDirection;EditorView.exceptionSink=exceptionSink;EditorView.updateListener=updateListener;EditorView.editable=editable;EditorView.mouseSelectionStyle=mouseSelectionStyle;EditorView.dragMovesSelection=dragMovesSelection$1;EditorView.clickAddsSelectionRange=clickAddsSelectionRange;EditorView.decorations=decorations;EditorView.outerDecorations=outerDecorations;EditorView.atomicRanges=atomicRanges;EditorView.bidiIsolatedRanges=bidiIsolatedRanges;EditorView.scrollMargins=scrollMargins;EditorView.darkTheme=darkTheme;EditorView.cspNonce=Facet.define({combine:eo=>eo.length?eo[0]:""});EditorView.contentAttributes=contentAttributes;EditorView.editorAttributes=editorAttributes;EditorView.lineWrapping=EditorView.contentAttributes.of({class:"cm-lineWrapping"});EditorView.announce=StateEffect.define();const MaxBidiLine=4096,BadMeasure={};class CachedOrder{constructor(to,ro,no,oo,io,so){this.from=to,this.to=ro,this.dir=no,this.isolates=oo,this.fresh=io,this.order=so}static update(to,ro){if(ro.empty&&!to.some(io=>io.fresh))return to;let no=[],oo=to.length?to[to.length-1].dir:Direction.LTR;for(let io=Math.max(0,to.length-10);io<to.length;io++){let so=to[io];so.dir==oo&&!ro.touchesRange(so.from,so.to)&&no.push(new CachedOrder(ro.mapPos(so.from,1),ro.mapPos(so.to,-1),so.dir,so.isolates,!1,so.order))}return no}}function attrsFromFacet(eo,to,ro){for(let no=eo.state.facet(to),oo=no.length-1;oo>=0;oo--){let io=no[oo],so=typeof io=="function"?io(eo):io;so&&combineAttrs(so,ro)}return ro}const currentPlatform=browser.mac?"mac":browser.windows?"win":browser.linux?"linux":"key";function normalizeKeyName(eo,to){const ro=eo.split(/-(?!$)/);let no=ro[ro.length-1];no=="Space"&&(no=" ");let oo,io,so,ao;for(let lo=0;lo<ro.length-1;++lo){const uo=ro[lo];if(/^(cmd|meta|m)$/i.test(uo))ao=!0;else if(/^a(lt)?$/i.test(uo))oo=!0;else if(/^(c|ctrl|control)$/i.test(uo))io=!0;else if(/^s(hift)?$/i.test(uo))so=!0;else if(/^mod$/i.test(uo))to=="mac"?ao=!0:io=!0;else throw new Error("Unrecognized modifier name: "+uo)}return oo&&(no="Alt-"+no),io&&(no="Ctrl-"+no),ao&&(no="Meta-"+no),so&&(no="Shift-"+no),no}function modifiers(eo,to,ro){return to.altKey&&(eo="Alt-"+eo),to.ctrlKey&&(eo="Ctrl-"+eo),to.metaKey&&(eo="Meta-"+eo),ro!==!1&&to.shiftKey&&(eo="Shift-"+eo),eo}const handleKeyEvents=Prec.default(EditorView.domEventHandlers({keydown(eo,to){return runHandlers(getKeymap(to.state),eo,to,"editor")}})),keymap=Facet.define({enables:handleKeyEvents}),Keymaps=new WeakMap;function getKeymap(eo){let to=eo.facet(keymap),ro=Keymaps.get(to);return ro||Keymaps.set(to,ro=buildKeymap(to.reduce((no,oo)=>no.concat(oo),[]))),ro}function runScopeHandlers(eo,to,ro){return runHandlers(getKeymap(eo.state),to,eo,ro)}let storedPrefix=null;const PrefixTimeout=4e3;function buildKeymap(eo,to=currentPlatform){let ro=Object.create(null),no=Object.create(null),oo=(so,ao)=>{let lo=no[so];if(lo==null)no[so]=ao;else if(lo!=ao)throw new Error("Key binding "+so+" is used both as a regular binding and as a multi-stroke prefix")},io=(so,ao,lo,uo,co)=>{var fo,ho;let po=ro[so]||(ro[so]=Object.create(null)),go=ao.split(/ (?!$)/).map(xo=>normalizeKeyName(xo,to));for(let xo=1;xo<go.length;xo++){let _o=go.slice(0,xo).join(" ");oo(_o,!0),po[_o]||(po[_o]={preventDefault:!0,stopPropagation:!1,run:[Eo=>{let So=storedPrefix={view:Eo,prefix:_o,scope:so};return setTimeout(()=>{storedPrefix==So&&(storedPrefix=null)},PrefixTimeout),!0}]})}let vo=go.join(" ");oo(vo,!1);let bo=po[vo]||(po[vo]={preventDefault:!1,stopPropagation:!1,run:((ho=(fo=po._any)===null||fo===void 0?void 0:fo.run)===null||ho===void 0?void 0:ho.slice())||[]});lo&&bo.run.push(lo),uo&&(bo.preventDefault=!0),co&&(bo.stopPropagation=!0)};for(let so of eo){let ao=so.scope?so.scope.split(" "):["editor"];if(so.any)for(let uo of ao){let co=ro[uo]||(ro[uo]=Object.create(null));co._any||(co._any={preventDefault:!1,stopPropagation:!1,run:[]});for(let fo in co)co[fo].run.push(so.any)}let lo=so[to]||so.key;if(lo)for(let uo of ao)io(uo,lo,so.run,so.preventDefault,so.stopPropagation),so.shift&&io(uo,"Shift-"+lo,so.shift,so.preventDefault,so.stopPropagation)}return ro}function runHandlers(eo,to,ro,no){let oo=keyName(to),io=codePointAt(oo,0),so=codePointSize(io)==oo.length&&oo!=" ",ao="",lo=!1,uo=!1,co=!1;storedPrefix&&storedPrefix.view==ro&&storedPrefix.scope==no&&(ao=storedPrefix.prefix+" ",modifierCodes.indexOf(to.keyCode)<0&&(uo=!0,storedPrefix=null));let fo=new Set,ho=bo=>{if(bo){for(let xo of bo.run)if(!fo.has(xo)&&(fo.add(xo),xo(ro,to)))return bo.stopPropagation&&(co=!0),!0;bo.preventDefault&&(bo.stopPropagation&&(co=!0),uo=!0)}return!1},po=eo[no],go,vo;return po&&(ho(po[ao+modifiers(oo,to,!so)])?lo=!0:so&&(to.altKey||to.metaKey||to.ctrlKey)&&!(browser.windows&&to.ctrlKey&&to.altKey)&&(go=base[to.keyCode])&&go!=oo?(ho(po[ao+modifiers(go,to,!0)])||to.shiftKey&&(vo=shift[to.keyCode])!=oo&&vo!=go&&ho(po[ao+modifiers(vo,to,!1)]))&&(lo=!0):so&&to.shiftKey&&ho(po[ao+modifiers(oo,to,!0)])&&(lo=!0),!lo&&ho(po._any)&&(lo=!0)),uo&&(lo=!0),lo&&co&&to.stopPropagation(),lo}class RectangleMarker{constructor(to,ro,no,oo,io){this.className=to,this.left=ro,this.top=no,this.width=oo,this.height=io}draw(){let to=document.createElement("div");return to.className=this.className,this.adjust(to),to}update(to,ro){return ro.className!=this.className?!1:(this.adjust(to),!0)}adjust(to){to.style.left=this.left+"px",to.style.top=this.top+"px",this.width!=null&&(to.style.width=this.width+"px"),to.style.height=this.height+"px"}eq(to){return this.left==to.left&&this.top==to.top&&this.width==to.width&&this.height==to.height&&this.className==to.className}static forRange(to,ro,no){if(no.empty){let oo=to.coordsAtPos(no.head,no.assoc||1);if(!oo)return[];let io=getBase(to);return[new RectangleMarker(ro,oo.left-io.left,oo.top-io.top,null,oo.bottom-oo.top)]}else return rectanglesForRange(to,ro,no)}}function getBase(eo){let to=eo.scrollDOM.getBoundingClientRect();return{left:(eo.textDirection==Direction.LTR?to.left:to.right-eo.scrollDOM.clientWidth*eo.scaleX)-eo.scrollDOM.scrollLeft*eo.scaleX,top:to.top-eo.scrollDOM.scrollTop*eo.scaleY}}function wrappedLine(eo,to,ro){let no=EditorSelection.cursor(to);return{from:Math.max(ro.from,eo.moveToLineBoundary(no,!1,!0).from),to:Math.min(ro.to,eo.moveToLineBoundary(no,!0,!0).from),type:BlockType.Text}}function rectanglesForRange(eo,to,ro){if(ro.to<=eo.viewport.from||ro.from>=eo.viewport.to)return[];let no=Math.max(ro.from,eo.viewport.from),oo=Math.min(ro.to,eo.viewport.to),io=eo.textDirection==Direction.LTR,so=eo.contentDOM,ao=so.getBoundingClientRect(),lo=getBase(eo),uo=so.querySelector(".cm-line"),co=uo&&window.getComputedStyle(uo),fo=ao.left+(co?parseInt(co.paddingLeft)+Math.min(0,parseInt(co.textIndent)):0),ho=ao.right-(co?parseInt(co.paddingRight):0),po=blockAt(eo,no),go=blockAt(eo,oo),vo=po.type==BlockType.Text?po:null,bo=go.type==BlockType.Text?go:null;if(vo&&(eo.lineWrapping||po.widgetLineBreaks)&&(vo=wrappedLine(eo,no,vo)),bo&&(eo.lineWrapping||go.widgetLineBreaks)&&(bo=wrappedLine(eo,oo,bo)),vo&&bo&&vo.from==bo.from)return _o(Eo(ro.from,ro.to,vo));{let To=vo?Eo(ro.from,null,vo):So(po,!1),wo=bo?Eo(null,ro.to,bo):So(go,!0),Co=[];return(vo||po).to<(bo||go).from-(vo&&bo?1:0)||po.widgetLineBreaks>1&&To.bottom+eo.defaultLineHeight/2<wo.top?Co.push(xo(fo,To.bottom,ho,wo.top)):To.bottom<wo.top&&eo.elementAtHeight((To.bottom+wo.top)/2).type==BlockType.Text&&(To.bottom=wo.top=(To.bottom+wo.top)/2),_o(To).concat(Co).concat(_o(wo))}function xo(To,wo,Co,Oo){return new RectangleMarker(to,To-lo.left,wo-lo.top-.01,Co-To,Oo-wo+.01)}function _o({top:To,bottom:wo,horizontal:Co}){let Oo=[];for(let Ao=0;Ao<Co.length;Ao+=2)Oo.push(xo(Co[Ao],To,Co[Ao+1],wo));return Oo}function Eo(To,wo,Co){let Oo=1e9,Ao=-1e9,Ro=[];function No(jo,Fo,$o,Lo,Ho){let qo=eo.coordsAtPos(jo,jo==Co.to?-2:2),Uo=eo.coordsAtPos($o,$o==Co.from?2:-2);!qo||!Uo||(Oo=Math.min(qo.top,Uo.top,Oo),Ao=Math.max(qo.bottom,Uo.bottom,Ao),Ho==Direction.LTR?Ro.push(io&&Fo?fo:qo.left,io&&Lo?ho:Uo.right):Ro.push(!io&&Lo?fo:Uo.left,!io&&Fo?ho:qo.right))}let Mo=To??Co.from,Do=wo??Co.to;for(let jo of eo.visibleRanges)if(jo.to>Mo&&jo.from<Do)for(let Fo=Math.max(jo.from,Mo),$o=Math.min(jo.to,Do);;){let Lo=eo.state.doc.lineAt(Fo);for(let Ho of eo.bidiSpans(Lo)){let qo=Ho.from+Lo.from,Uo=Ho.to+Lo.from;if(qo>=$o)break;Uo>Fo&&No(Math.max(qo,Fo),To==null&&qo<=Mo,Math.min(Uo,$o),wo==null&&Uo>=Do,Ho.dir)}if(Fo=Lo.to+1,Fo>=$o)break}return Ro.length==0&&No(Mo,To==null,Do,wo==null,eo.textDirection),{top:Oo,bottom:Ao,horizontal:Ro}}function So(To,wo){let Co=ao.top+(wo?To.top:To.bottom);return{top:Co,bottom:Co,horizontal:[]}}}function sameMarker(eo,to){return eo.constructor==to.constructor&&eo.eq(to)}class LayerView{constructor(to,ro){this.view=to,this.layer=ro,this.drawn=[],this.scaleX=1,this.scaleY=1,this.measureReq={read:this.measure.bind(this),write:this.draw.bind(this)},this.dom=to.scrollDOM.appendChild(document.createElement("div")),this.dom.classList.add("cm-layer"),ro.above&&this.dom.classList.add("cm-layer-above"),ro.class&&this.dom.classList.add(ro.class),this.scale(),this.dom.setAttribute("aria-hidden","true"),this.setOrder(to.state),to.requestMeasure(this.measureReq),ro.mount&&ro.mount(this.dom,to)}update(to){to.startState.facet(layerOrder)!=to.state.facet(layerOrder)&&this.setOrder(to.state),(this.layer.update(to,this.dom)||to.geometryChanged)&&(this.scale(),to.view.requestMeasure(this.measureReq))}docViewUpdate(to){this.layer.updateOnDocViewUpdate!==!1&&to.requestMeasure(this.measureReq)}setOrder(to){let ro=0,no=to.facet(layerOrder);for(;ro<no.length&&no[ro]!=this.layer;)ro++;this.dom.style.zIndex=String((this.layer.above?150:-1)-ro)}measure(){return this.layer.markers(this.view)}scale(){let{scaleX:to,scaleY:ro}=this.view;(to!=this.scaleX||ro!=this.scaleY)&&(this.scaleX=to,this.scaleY=ro,this.dom.style.transform=`scale(${1/to}, ${1/ro})`)}draw(to){if(to.length!=this.drawn.length||to.some((ro,no)=>!sameMarker(ro,this.drawn[no]))){let ro=this.dom.firstChild,no=0;for(let oo of to)oo.update&&ro&&oo.constructor&&this.drawn[no].constructor&&oo.update(ro,this.drawn[no])?(ro=ro.nextSibling,no++):this.dom.insertBefore(oo.draw(),ro);for(;ro;){let oo=ro.nextSibling;ro.remove(),ro=oo}this.drawn=to}}destroy(){this.layer.destroy&&this.layer.destroy(this.dom,this.view),this.dom.remove()}}const layerOrder=Facet.define();function layer(eo){return[ViewPlugin.define(to=>new LayerView(to,eo)),layerOrder.of(eo)]}const CanHidePrimary=!browser.ios,selectionConfig=Facet.define({combine(eo){return combineConfig(eo,{cursorBlinkRate:1200,drawRangeCursor:!0},{cursorBlinkRate:(to,ro)=>Math.min(to,ro),drawRangeCursor:(to,ro)=>to||ro})}});function drawSelection(eo={}){return[selectionConfig.of(eo),cursorLayer,selectionLayer,hideNativeSelection,nativeSelectionHidden.of(!0)]}function configChanged(eo){return eo.startState.facet(selectionConfig)!=eo.state.facet(selectionConfig)}const cursorLayer=layer({above:!0,markers(eo){let{state:to}=eo,ro=to.facet(selectionConfig),no=[];for(let oo of to.selection.ranges){let io=oo==to.selection.main;if(oo.empty?!io||CanHidePrimary:ro.drawRangeCursor){let so=io?"cm-cursor cm-cursor-primary":"cm-cursor cm-cursor-secondary",ao=oo.empty?oo:EditorSelection.cursor(oo.head,oo.head>oo.anchor?-1:1);for(let lo of RectangleMarker.forRange(eo,so,ao))no.push(lo)}}return no},update(eo,to){eo.transactions.some(no=>no.selection)&&(to.style.animationName=to.style.animationName=="cm-blink"?"cm-blink2":"cm-blink");let ro=configChanged(eo);return ro&&setBlinkRate(eo.state,to),eo.docChanged||eo.selectionSet||ro},mount(eo,to){setBlinkRate(to.state,eo)},class:"cm-cursorLayer"});function setBlinkRate(eo,to){to.style.animationDuration=eo.facet(selectionConfig).cursorBlinkRate+"ms"}const selectionLayer=layer({above:!1,markers(eo){return eo.state.selection.ranges.map(to=>to.empty?[]:RectangleMarker.forRange(eo,"cm-selectionBackground",to)).reduce((to,ro)=>to.concat(ro))},update(eo,to){return eo.docChanged||eo.selectionSet||eo.viewportChanged||configChanged(eo)},class:"cm-selectionLayer"}),themeSpec={".cm-line":{"& ::selection":{backgroundColor:"transparent !important"},"&::selection":{backgroundColor:"transparent !important"}}};CanHidePrimary&&(themeSpec[".cm-line"].caretColor="transparent !important",themeSpec[".cm-content"]={caretColor:"transparent !important"});const hideNativeSelection=Prec.highest(EditorView.theme(themeSpec)),setDropCursorPos=StateEffect.define({map(eo,to){return eo==null?null:to.mapPos(eo)}}),dropCursorPos=StateField.define({create(){return null},update(eo,to){return eo!=null&&(eo=to.changes.mapPos(eo)),to.effects.reduce((ro,no)=>no.is(setDropCursorPos)?no.value:ro,eo)}}),drawDropCursor=ViewPlugin.fromClass(class{constructor(eo){this.view=eo,this.cursor=null,this.measureReq={read:this.readPos.bind(this),write:this.drawCursor.bind(this)}}update(eo){var to;let ro=eo.state.field(dropCursorPos);ro==null?this.cursor!=null&&((to=this.cursor)===null||to===void 0||to.remove(),this.cursor=null):(this.cursor||(this.cursor=this.view.scrollDOM.appendChild(document.createElement("div")),this.cursor.className="cm-dropCursor"),(eo.startState.field(dropCursorPos)!=ro||eo.docChanged||eo.geometryChanged)&&this.view.requestMeasure(this.measureReq))}readPos(){let{view:eo}=this,to=eo.state.field(dropCursorPos),ro=to!=null&&eo.coordsAtPos(to);if(!ro)return null;let no=eo.scrollDOM.getBoundingClientRect();return{left:ro.left-no.left+eo.scrollDOM.scrollLeft*eo.scaleX,top:ro.top-no.top+eo.scrollDOM.scrollTop*eo.scaleY,height:ro.bottom-ro.top}}drawCursor(eo){if(this.cursor){let{scaleX:to,scaleY:ro}=this.view;eo?(this.cursor.style.left=eo.left/to+"px",this.cursor.style.top=eo.top/ro+"px",this.cursor.style.height=eo.height/ro+"px"):this.cursor.style.left="-100000px"}}destroy(){this.cursor&&this.cursor.remove()}setDropPos(eo){this.view.state.field(dropCursorPos)!=eo&&this.view.dispatch({effects:setDropCursorPos.of(eo)})}},{eventObservers:{dragover(eo){this.setDropPos(this.view.posAtCoords({x:eo.clientX,y:eo.clientY}))},dragleave(eo){(eo.target==this.view.contentDOM||!this.view.contentDOM.contains(eo.relatedTarget))&&this.setDropPos(null)},dragend(){this.setDropPos(null)},drop(){this.setDropPos(null)}}});function dropCursor(){return[dropCursorPos,drawDropCursor]}function iterMatches(eo,to,ro,no,oo){to.lastIndex=0;for(let io=eo.iterRange(ro,no),so=ro,ao;!io.next().done;so+=io.value.length)if(!io.lineBreak)for(;ao=to.exec(io.value);)oo(so+ao.index,ao)}function matchRanges(eo,to){let ro=eo.visibleRanges;if(ro.length==1&&ro[0].from==eo.viewport.from&&ro[0].to==eo.viewport.to)return ro;let no=[];for(let{from:oo,to:io}of ro)oo=Math.max(eo.state.doc.lineAt(oo).from,oo-to),io=Math.min(eo.state.doc.lineAt(io).to,io+to),no.length&&no[no.length-1].to>=oo?no[no.length-1].to=io:no.push({from:oo,to:io});return no}class MatchDecorator{constructor(to){const{regexp:ro,decoration:no,decorate:oo,boundary:io,maxLength:so=1e3}=to;if(!ro.global)throw new RangeError("The regular expression given to MatchDecorator should have its 'g' flag set");if(this.regexp=ro,oo)this.addMatch=(ao,lo,uo,co)=>oo(co,uo,uo+ao[0].length,ao,lo);else if(typeof no=="function")this.addMatch=(ao,lo,uo,co)=>{let fo=no(ao,lo,uo);fo&&co(uo,uo+ao[0].length,fo)};else if(no)this.addMatch=(ao,lo,uo,co)=>co(uo,uo+ao[0].length,no);else throw new RangeError("Either 'decorate' or 'decoration' should be provided to MatchDecorator");this.boundary=io,this.maxLength=so}createDeco(to){let ro=new RangeSetBuilder,no=ro.add.bind(ro);for(let{from:oo,to:io}of matchRanges(to,this.maxLength))iterMatches(to.state.doc,this.regexp,oo,io,(so,ao)=>this.addMatch(ao,to,so,no));return ro.finish()}updateDeco(to,ro){let no=1e9,oo=-1;return to.docChanged&&to.changes.iterChanges((io,so,ao,lo)=>{lo>to.view.viewport.from&&ao<to.view.viewport.to&&(no=Math.min(ao,no),oo=Math.max(lo,oo))}),to.viewportChanged||oo-no>1e3?this.createDeco(to.view):oo>-1?this.updateRange(to.view,ro.map(to.changes),no,oo):ro}updateRange(to,ro,no,oo){for(let io of to.visibleRanges){let so=Math.max(io.from,no),ao=Math.min(io.to,oo);if(ao>so){let lo=to.state.doc.lineAt(so),uo=lo.to<ao?to.state.doc.lineAt(ao):lo,co=Math.max(io.from,lo.from),fo=Math.min(io.to,uo.to);if(this.boundary){for(;so>lo.from;so--)if(this.boundary.test(lo.text[so-1-lo.from])){co=so;break}for(;ao<uo.to;ao++)if(this.boundary.test(uo.text[ao-uo.from])){fo=ao;break}}let ho=[],po,go=(vo,bo,xo)=>ho.push(xo.range(vo,bo));if(lo==uo)for(this.regexp.lastIndex=co-lo.from;(po=this.regexp.exec(lo.text))&&po.index<fo-lo.from;)this.addMatch(po,to,po.index+lo.from,go);else iterMatches(to.state.doc,this.regexp,co,fo,(vo,bo)=>this.addMatch(bo,to,vo,go));ro=ro.update({filterFrom:co,filterTo:fo,filter:(vo,bo)=>vo<co||bo>fo,add:ho})}}return ro}}const UnicodeRegexpSupport=/x/.unicode!=null?"gu":"g",Specials=new RegExp(`[\0-\b
+--Ÿ­؜​‎‏\u2028\u2029‭‮⁦⁧⁩\uFEFF-]`,UnicodeRegexpSupport),Names={0:"null",7:"bell",8:"backspace",10:"newline",11:"vertical tab",13:"carriage return",27:"escape",8203:"zero width space",8204:"zero width non-joiner",8205:"zero width joiner",8206:"left-to-right mark",8207:"right-to-left mark",8232:"line separator",8237:"left-to-right override",8238:"right-to-left override",8294:"left-to-right isolate",8295:"right-to-left isolate",8297:"pop directional isolate",8233:"paragraph separator",65279:"zero width no-break space",65532:"object replacement"};let _supportsTabSize=null;function supportsTabSize(){var eo;if(_supportsTabSize==null&&typeof document<"u"&&document.body){let to=document.body.style;_supportsTabSize=((eo=to.tabSize)!==null&&eo!==void 0?eo:to.MozTabSize)!=null}return _supportsTabSize||!1}const specialCharConfig=Facet.define({combine(eo){let to=combineConfig(eo,{render:null,specialChars:Specials,addSpecialChars:null});return(to.replaceTabs=!supportsTabSize())&&(to.specialChars=new RegExp("	|"+to.specialChars.source,UnicodeRegexpSupport)),to.addSpecialChars&&(to.specialChars=new RegExp(to.specialChars.source+"|"+to.addSpecialChars.source,UnicodeRegexpSupport)),to}});function highlightSpecialChars(eo={}){return[specialCharConfig.of(eo),specialCharPlugin()]}let _plugin=null;function specialCharPlugin(){return _plugin||(_plugin=ViewPlugin.fromClass(class{constructor(eo){this.view=eo,this.decorations=Decoration.none,this.decorationCache=Object.create(null),this.decorator=this.makeDecorator(eo.state.facet(specialCharConfig)),this.decorations=this.decorator.createDeco(eo)}makeDecorator(eo){return new MatchDecorator({regexp:eo.specialChars,decoration:(to,ro,no)=>{let{doc:oo}=ro.state,io=codePointAt(to[0],0);if(io==9){let so=oo.lineAt(no),ao=ro.state.tabSize,lo=countColumn(so.text,ao,no-so.from);return Decoration.replace({widget:new TabWidget((ao-lo%ao)*this.view.defaultCharacterWidth/this.view.scaleX)})}return this.decorationCache[io]||(this.decorationCache[io]=Decoration.replace({widget:new SpecialCharWidget(eo,io)}))},boundary:eo.replaceTabs?void 0:/[^]/})}update(eo){let to=eo.state.facet(specialCharConfig);eo.startState.facet(specialCharConfig)!=to?(this.decorator=this.makeDecorator(to),this.decorations=this.decorator.createDeco(eo.view)):this.decorations=this.decorator.updateDeco(eo,this.decorations)}},{decorations:eo=>eo.decorations}))}const DefaultPlaceholder="•";function placeholder$1(eo){return eo>=32?DefaultPlaceholder:eo==10?"␤":String.fromCharCode(9216+eo)}class SpecialCharWidget extends WidgetType{constructor(to,ro){super(),this.options=to,this.code=ro}eq(to){return to.code==this.code}toDOM(to){let ro=placeholder$1(this.code),no=to.state.phrase("Control character")+" "+(Names[this.code]||"0x"+this.code.toString(16)),oo=this.options.render&&this.options.render(this.code,no,ro);if(oo)return oo;let io=document.createElement("span");return io.textContent=ro,io.title=no,io.setAttribute("aria-label",no),io.className="cm-specialChar",io}ignoreEvent(){return!1}}class TabWidget extends WidgetType{constructor(to){super(),this.width=to}eq(to){return to.width==this.width}toDOM(){let to=document.createElement("span");return to.textContent="	",to.className="cm-tab",to.style.width=this.width+"px",to}ignoreEvent(){return!1}}function highlightActiveLine(){return activeLineHighlighter}const lineDeco=Decoration.line({class:"cm-activeLine"}),activeLineHighlighter=ViewPlugin.fromClass(class{constructor(eo){this.decorations=this.getDeco(eo)}update(eo){(eo.docChanged||eo.selectionSet)&&(this.decorations=this.getDeco(eo.view))}getDeco(eo){let to=-1,ro=[];for(let no of eo.state.selection.ranges){let oo=eo.lineBlockAt(no.head);oo.from>to&&(ro.push(lineDeco.range(oo.from)),to=oo.from)}return Decoration.set(ro)}},{decorations:eo=>eo.decorations});class Placeholder extends WidgetType{constructor(to){super(),this.content=to}toDOM(){let to=document.createElement("span");return to.className="cm-placeholder",to.style.pointerEvents="none",to.appendChild(typeof this.content=="string"?document.createTextNode(this.content):this.content),typeof this.content=="string"?to.setAttribute("aria-label","placeholder "+this.content):to.setAttribute("aria-hidden","true"),to}coordsAt(to){let ro=to.firstChild?clientRectsFor(to.firstChild):[];if(!ro.length)return null;let no=window.getComputedStyle(to.parentNode),oo=flattenRect(ro[0],no.direction!="rtl"),io=parseInt(no.lineHeight);return oo.bottom-oo.top>io*1.5?{left:oo.left,right:oo.right,top:oo.top,bottom:oo.top+io}:oo}ignoreEvent(){return!1}}function placeholder(eo){return ViewPlugin.fromClass(class{constructor(to){this.view=to,this.placeholder=eo?Decoration.set([Decoration.widget({widget:new Placeholder(eo),side:1}).range(0)]):Decoration.none}get decorations(){return this.view.state.doc.length?Decoration.none:this.placeholder}},{decorations:to=>to.decorations})}const MaxOff=2e3;function rectangleFor(eo,to,ro){let no=Math.min(to.line,ro.line),oo=Math.max(to.line,ro.line),io=[];if(to.off>MaxOff||ro.off>MaxOff||to.col<0||ro.col<0){let so=Math.min(to.off,ro.off),ao=Math.max(to.off,ro.off);for(let lo=no;lo<=oo;lo++){let uo=eo.doc.line(lo);uo.length<=ao&&io.push(EditorSelection.range(uo.from+so,uo.to+ao))}}else{let so=Math.min(to.col,ro.col),ao=Math.max(to.col,ro.col);for(let lo=no;lo<=oo;lo++){let uo=eo.doc.line(lo),co=findColumn(uo.text,so,eo.tabSize,!0);if(co<0)io.push(EditorSelection.cursor(uo.to));else{let fo=findColumn(uo.text,ao,eo.tabSize);io.push(EditorSelection.range(uo.from+co,uo.from+fo))}}}return io}function absoluteColumn(eo,to){let ro=eo.coordsAtPos(eo.viewport.from);return ro?Math.round(Math.abs((ro.left-to)/eo.defaultCharacterWidth)):-1}function getPos(eo,to){let ro=eo.posAtCoords({x:to.clientX,y:to.clientY},!1),no=eo.state.doc.lineAt(ro),oo=ro-no.from,io=oo>MaxOff?-1:oo==no.length?absoluteColumn(eo,to.clientX):countColumn(no.text,eo.state.tabSize,ro-no.from);return{line:no.number,col:io,off:oo}}function rectangleSelectionStyle(eo,to){let ro=getPos(eo,to),no=eo.state.selection;return ro?{update(oo){if(oo.docChanged){let io=oo.changes.mapPos(oo.startState.doc.line(ro.line).from),so=oo.state.doc.lineAt(io);ro={line:so.number,col:ro.col,off:Math.min(ro.off,so.length)},no=no.map(oo.changes)}},get(oo,io,so){let ao=getPos(eo,oo);if(!ao)return no;let lo=rectangleFor(eo.state,ro,ao);return lo.length?so?EditorSelection.create(lo.concat(no.ranges)):EditorSelection.create(lo):no}}:null}function rectangularSelection(eo){let to=(eo==null?void 0:eo.eventFilter)||(ro=>ro.altKey&&ro.button==0);return EditorView.mouseSelectionStyle.of((ro,no)=>to(no)?rectangleSelectionStyle(ro,no):null)}const keys={Alt:[18,eo=>!!eo.altKey],Control:[17,eo=>!!eo.ctrlKey],Shift:[16,eo=>!!eo.shiftKey],Meta:[91,eo=>!!eo.metaKey]},showCrosshair={style:"cursor: crosshair"};function crosshairCursor(eo={}){let[to,ro]=keys[eo.key||"Alt"],no=ViewPlugin.fromClass(class{constructor(oo){this.view=oo,this.isDown=!1}set(oo){this.isDown!=oo&&(this.isDown=oo,this.view.update([]))}},{eventObservers:{keydown(oo){this.set(oo.keyCode==to||ro(oo))},keyup(oo){(oo.keyCode==to||!ro(oo))&&this.set(!1)},mousemove(oo){this.set(ro(oo))}}});return[no,EditorView.contentAttributes.of(oo=>{var io;return!((io=oo.plugin(no))===null||io===void 0)&&io.isDown?showCrosshair:null})]}const Outside="-10000px";class TooltipViewManager{constructor(to,ro,no,oo){this.facet=ro,this.createTooltipView=no,this.removeTooltipView=oo,this.input=to.state.facet(ro),this.tooltips=this.input.filter(so=>so);let io=null;this.tooltipViews=this.tooltips.map(so=>io=no(so,io))}update(to,ro){var no;let oo=to.state.facet(this.facet),io=oo.filter(lo=>lo);if(oo===this.input){for(let lo of this.tooltipViews)lo.update&&lo.update(to);return!1}let so=[],ao=ro?[]:null;for(let lo=0;lo<io.length;lo++){let uo=io[lo],co=-1;if(uo){for(let fo=0;fo<this.tooltips.length;fo++){let ho=this.tooltips[fo];ho&&ho.create==uo.create&&(co=fo)}if(co<0)so[lo]=this.createTooltipView(uo,lo?so[lo-1]:null),ao&&(ao[lo]=!!uo.above);else{let fo=so[lo]=this.tooltipViews[co];ao&&(ao[lo]=ro[co]),fo.update&&fo.update(to)}}}for(let lo of this.tooltipViews)so.indexOf(lo)<0&&(this.removeTooltipView(lo),(no=lo.destroy)===null||no===void 0||no.call(lo));return ro&&(ao.forEach((lo,uo)=>ro[uo]=lo),ro.length=ao.length),this.input=oo,this.tooltips=io,this.tooltipViews=so,!0}}function windowSpace(eo){let{win:to}=eo;return{top:0,left:0,bottom:to.innerHeight,right:to.innerWidth}}const tooltipConfig=Facet.define({combine:eo=>{var to,ro,no;return{position:browser.ios?"absolute":((to=eo.find(oo=>oo.position))===null||to===void 0?void 0:to.position)||"fixed",parent:((ro=eo.find(oo=>oo.parent))===null||ro===void 0?void 0:ro.parent)||null,tooltipSpace:((no=eo.find(oo=>oo.tooltipSpace))===null||no===void 0?void 0:no.tooltipSpace)||windowSpace}}}),knownHeight=new WeakMap,tooltipPlugin=ViewPlugin.fromClass(class{constructor(eo){this.view=eo,this.above=[],this.inView=!0,this.madeAbsolute=!1,this.lastTransaction=0,this.measureTimeout=-1;let to=eo.state.facet(tooltipConfig);this.position=to.position,this.parent=to.parent,this.classes=eo.themeClasses,this.createContainer(),this.measureReq={read:this.readMeasure.bind(this),write:this.writeMeasure.bind(this),key:this},this.resizeObserver=typeof ResizeObserver=="function"?new ResizeObserver(()=>this.measureSoon()):null,this.manager=new TooltipViewManager(eo,showTooltip,(ro,no)=>this.createTooltip(ro,no),ro=>{this.resizeObserver&&this.resizeObserver.unobserve(ro.dom),ro.dom.remove()}),this.above=this.manager.tooltips.map(ro=>!!ro.above),this.intersectionObserver=typeof IntersectionObserver=="function"?new IntersectionObserver(ro=>{Date.now()>this.lastTransaction-50&&ro.length>0&&ro[ro.length-1].intersectionRatio<1&&this.measureSoon()},{threshold:[1]}):null,this.observeIntersection(),eo.win.addEventListener("resize",this.measureSoon=this.measureSoon.bind(this)),this.maybeMeasure()}createContainer(){this.parent?(this.container=document.createElement("div"),this.container.style.position="relative",this.container.className=this.view.themeClasses,this.parent.appendChild(this.container)):this.container=this.view.dom}observeIntersection(){if(this.intersectionObserver){this.intersectionObserver.disconnect();for(let eo of this.manager.tooltipViews)this.intersectionObserver.observe(eo.dom)}}measureSoon(){this.measureTimeout<0&&(this.measureTimeout=setTimeout(()=>{this.measureTimeout=-1,this.maybeMeasure()},50))}update(eo){eo.transactions.length&&(this.lastTransaction=Date.now());let to=this.manager.update(eo,this.above);to&&this.observeIntersection();let ro=to||eo.geometryChanged,no=eo.state.facet(tooltipConfig);if(no.position!=this.position&&!this.madeAbsolute){this.position=no.position;for(let oo of this.manager.tooltipViews)oo.dom.style.position=this.position;ro=!0}if(no.parent!=this.parent){this.parent&&this.container.remove(),this.parent=no.parent,this.createContainer();for(let oo of this.manager.tooltipViews)this.container.appendChild(oo.dom);ro=!0}else this.parent&&this.view.themeClasses!=this.classes&&(this.classes=this.container.className=this.view.themeClasses);ro&&this.maybeMeasure()}createTooltip(eo,to){let ro=eo.create(this.view),no=to?to.dom:null;if(ro.dom.classList.add("cm-tooltip"),eo.arrow&&!ro.dom.querySelector(".cm-tooltip > .cm-tooltip-arrow")){let oo=document.createElement("div");oo.className="cm-tooltip-arrow",ro.dom.insertBefore(oo,no)}return ro.dom.style.position=this.position,ro.dom.style.top=Outside,ro.dom.style.left="0px",this.container.insertBefore(ro.dom,no),ro.mount&&ro.mount(this.view),this.resizeObserver&&this.resizeObserver.observe(ro.dom),ro}destroy(){var eo,to,ro;this.view.win.removeEventListener("resize",this.measureSoon);for(let no of this.manager.tooltipViews)no.dom.remove(),(eo=no.destroy)===null||eo===void 0||eo.call(no);this.parent&&this.container.remove(),(to=this.resizeObserver)===null||to===void 0||to.disconnect(),(ro=this.intersectionObserver)===null||ro===void 0||ro.disconnect(),clearTimeout(this.measureTimeout)}readMeasure(){let eo=this.view.dom.getBoundingClientRect(),to=1,ro=1,no=!1;if(this.position=="fixed"&&this.manager.tooltipViews.length){let{dom:oo}=this.manager.tooltipViews[0];if(browser.gecko)no=oo.offsetParent!=this.container.ownerDocument.body;else if(oo.style.top==Outside&&oo.style.left=="0px"){let io=oo.getBoundingClientRect();no=Math.abs(io.top+1e4)>1||Math.abs(io.left)>1}}if(no||this.position=="absolute")if(this.parent){let oo=this.parent.getBoundingClientRect();oo.width&&oo.height&&(to=oo.width/this.parent.offsetWidth,ro=oo.height/this.parent.offsetHeight)}else({scaleX:to,scaleY:ro}=this.view.viewState);return{editor:eo,parent:this.parent?this.container.getBoundingClientRect():eo,pos:this.manager.tooltips.map((oo,io)=>{let so=this.manager.tooltipViews[io];return so.getCoords?so.getCoords(oo.pos):this.view.coordsAtPos(oo.pos)}),size:this.manager.tooltipViews.map(({dom:oo})=>oo.getBoundingClientRect()),space:this.view.state.facet(tooltipConfig).tooltipSpace(this.view),scaleX:to,scaleY:ro,makeAbsolute:no}}writeMeasure(eo){var to;if(eo.makeAbsolute){this.madeAbsolute=!0,this.position="absolute";for(let ao of this.manager.tooltipViews)ao.dom.style.position="absolute"}let{editor:ro,space:no,scaleX:oo,scaleY:io}=eo,so=[];for(let ao=0;ao<this.manager.tooltips.length;ao++){let lo=this.manager.tooltips[ao],uo=this.manager.tooltipViews[ao],{dom:co}=uo,fo=eo.pos[ao],ho=eo.size[ao];if(!fo||fo.bottom<=Math.max(ro.top,no.top)||fo.top>=Math.min(ro.bottom,no.bottom)||fo.right<Math.max(ro.left,no.left)-.1||fo.left>Math.min(ro.right,no.right)+.1){co.style.top=Outside;continue}let po=lo.arrow?uo.dom.querySelector(".cm-tooltip-arrow"):null,go=po?7:0,vo=ho.right-ho.left,bo=(to=knownHeight.get(uo))!==null&&to!==void 0?to:ho.bottom-ho.top,xo=uo.offset||noOffset,_o=this.view.textDirection==Direction.LTR,Eo=ho.width>no.right-no.left?_o?no.left:no.right-ho.width:_o?Math.min(fo.left-(po?14:0)+xo.x,no.right-vo):Math.max(no.left,fo.left-vo+(po?14:0)-xo.x),So=this.above[ao];!lo.strictSide&&(So?fo.top-(ho.bottom-ho.top)-xo.y<no.top:fo.bottom+(ho.bottom-ho.top)+xo.y>no.bottom)&&So==no.bottom-fo.bottom>fo.top-no.top&&(So=this.above[ao]=!So);let To=(So?fo.top-no.top:no.bottom-fo.bottom)-go;if(To<bo&&uo.resize!==!1){if(To<this.view.defaultLineHeight){co.style.top=Outside;continue}knownHeight.set(uo,bo),co.style.height=(bo=To)/io+"px"}else co.style.height&&(co.style.height="");let wo=So?fo.top-bo-go-xo.y:fo.bottom+go+xo.y,Co=Eo+vo;if(uo.overlap!==!0)for(let Oo of so)Oo.left<Co&&Oo.right>Eo&&Oo.top<wo+bo&&Oo.bottom>wo&&(wo=So?Oo.top-bo-2-go:Oo.bottom+go+2);if(this.position=="absolute"?(co.style.top=(wo-eo.parent.top)/io+"px",co.style.left=(Eo-eo.parent.left)/oo+"px"):(co.style.top=wo/io+"px",co.style.left=Eo/oo+"px"),po){let Oo=fo.left+(_o?xo.x:-xo.x)-(Eo+14-7);po.style.left=Oo/oo+"px"}uo.overlap!==!0&&so.push({left:Eo,top:wo,right:Co,bottom:wo+bo}),co.classList.toggle("cm-tooltip-above",So),co.classList.toggle("cm-tooltip-below",!So),uo.positioned&&uo.positioned(eo.space)}}maybeMeasure(){if(this.manager.tooltips.length&&(this.view.inView&&this.view.requestMeasure(this.measureReq),this.inView!=this.view.inView&&(this.inView=this.view.inView,!this.inView)))for(let eo of this.manager.tooltipViews)eo.dom.style.top=Outside}},{eventObservers:{scroll(){this.maybeMeasure()}}}),baseTheme$5=EditorView.baseTheme({".cm-tooltip":{zIndex:100,boxSizing:"border-box"},"&light .cm-tooltip":{border:"1px solid #bbb",backgroundColor:"#f5f5f5"},"&light .cm-tooltip-section:not(:first-child)":{borderTop:"1px solid #bbb"},"&dark .cm-tooltip":{backgroundColor:"#333338",color:"white"},".cm-tooltip-arrow":{height:"7px",width:`${7*2}px`,position:"absolute",zIndex:-1,overflow:"hidden","&:before, &:after":{content:"''",position:"absolute",width:0,height:0,borderLeft:"7px solid transparent",borderRight:"7px solid transparent"},".cm-tooltip-above &":{bottom:"-7px","&:before":{borderTop:"7px solid #bbb"},"&:after":{borderTop:"7px solid #f5f5f5",bottom:"1px"}},".cm-tooltip-below &":{top:"-7px","&:before":{borderBottom:"7px solid #bbb"},"&:after":{borderBottom:"7px solid #f5f5f5",top:"1px"}}},"&dark .cm-tooltip .cm-tooltip-arrow":{"&:before":{borderTopColor:"#333338",borderBottomColor:"#333338"},"&:after":{borderTopColor:"transparent",borderBottomColor:"transparent"}}}),noOffset={x:0,y:0},showTooltip=Facet.define({enables:[tooltipPlugin,baseTheme$5]}),showHoverTooltip=Facet.define({combine:eo=>eo.reduce((to,ro)=>to.concat(ro),[])});class HoverTooltipHost{static create(to){return new HoverTooltipHost(to)}constructor(to){this.view=to,this.mounted=!1,this.dom=document.createElement("div"),this.dom.classList.add("cm-tooltip-hover"),this.manager=new TooltipViewManager(to,showHoverTooltip,(ro,no)=>this.createHostedView(ro,no),ro=>ro.dom.remove())}createHostedView(to,ro){let no=to.create(this.view);return no.dom.classList.add("cm-tooltip-section"),this.dom.insertBefore(no.dom,ro?ro.dom.nextSibling:this.dom.firstChild),this.mounted&&no.mount&&no.mount(this.view),no}mount(to){for(let ro of this.manager.tooltipViews)ro.mount&&ro.mount(to);this.mounted=!0}positioned(to){for(let ro of this.manager.tooltipViews)ro.positioned&&ro.positioned(to)}update(to){this.manager.update(to)}destroy(){var to;for(let ro of this.manager.tooltipViews)(to=ro.destroy)===null||to===void 0||to.call(ro)}passProp(to){let ro;for(let no of this.manager.tooltipViews){let oo=no[to];if(oo!==void 0){if(ro===void 0)ro=oo;else if(ro!==oo)return}}return ro}get offset(){return this.passProp("offset")}get getCoords(){return this.passProp("getCoords")}get overlap(){return this.passProp("overlap")}get resize(){return this.passProp("resize")}}const showHoverTooltipHost=showTooltip.compute([showHoverTooltip],eo=>{let to=eo.facet(showHoverTooltip);return to.length===0?null:{pos:Math.min(...to.map(ro=>ro.pos)),end:Math.max(...to.map(ro=>{var no;return(no=ro.end)!==null&&no!==void 0?no:ro.pos})),create:HoverTooltipHost.create,above:to[0].above,arrow:to.some(ro=>ro.arrow)}});class HoverPlugin{constructor(to,ro,no,oo,io){this.view=to,this.source=ro,this.field=no,this.setHover=oo,this.hoverTime=io,this.hoverTimeout=-1,this.restartTimeout=-1,this.pending=null,this.lastMove={x:0,y:0,target:to.dom,time:0},this.checkHover=this.checkHover.bind(this),to.dom.addEventListener("mouseleave",this.mouseleave=this.mouseleave.bind(this)),to.dom.addEventListener("mousemove",this.mousemove=this.mousemove.bind(this))}update(){this.pending&&(this.pending=null,clearTimeout(this.restartTimeout),this.restartTimeout=setTimeout(()=>this.startHover(),20))}get active(){return this.view.state.field(this.field)}checkHover(){if(this.hoverTimeout=-1,this.active.length)return;let to=Date.now()-this.lastMove.time;to<this.hoverTime?this.hoverTimeout=setTimeout(this.checkHover,this.hoverTime-to):this.startHover()}startHover(){clearTimeout(this.restartTimeout);let{view:to,lastMove:ro}=this,no=to.docView.nearest(ro.target);if(!no)return;let oo,io=1;if(no instanceof WidgetView)oo=no.posAtStart;else{if(oo=to.posAtCoords(ro),oo==null)return;let ao=to.coordsAtPos(oo);if(!ao||ro.y<ao.top||ro.y>ao.bottom||ro.x<ao.left-to.defaultCharacterWidth||ro.x>ao.right+to.defaultCharacterWidth)return;let lo=to.bidiSpans(to.state.doc.lineAt(oo)).find(co=>co.from<=oo&&co.to>=oo),uo=lo&&lo.dir==Direction.RTL?-1:1;io=ro.x<ao.left?-uo:uo}let so=this.source(to,oo,io);if(so!=null&&so.then){let ao=this.pending={pos:oo};so.then(lo=>{this.pending==ao&&(this.pending=null,lo&&!(Array.isArray(lo)&&!lo.length)&&to.dispatch({effects:this.setHover.of(Array.isArray(lo)?lo:[lo])}))},lo=>logException(to.state,lo,"hover tooltip"))}else so&&!(Array.isArray(so)&&!so.length)&&to.dispatch({effects:this.setHover.of(Array.isArray(so)?so:[so])})}get tooltip(){let to=this.view.plugin(tooltipPlugin),ro=to?to.manager.tooltips.findIndex(no=>no.create==HoverTooltipHost.create):-1;return ro>-1?to.manager.tooltipViews[ro]:null}mousemove(to){var ro,no;this.lastMove={x:to.clientX,y:to.clientY,target:to.target,time:Date.now()},this.hoverTimeout<0&&(this.hoverTimeout=setTimeout(this.checkHover,this.hoverTime));let{active:oo,tooltip:io}=this;if(oo.length&&io&&!isInTooltip(io.dom,to)||this.pending){let{pos:so}=oo[0]||this.pending,ao=(no=(ro=oo[0])===null||ro===void 0?void 0:ro.end)!==null&&no!==void 0?no:so;(so==ao?this.view.posAtCoords(this.lastMove)!=so:!isOverRange(this.view,so,ao,to.clientX,to.clientY))&&(this.view.dispatch({effects:this.setHover.of([])}),this.pending=null)}}mouseleave(to){clearTimeout(this.hoverTimeout),this.hoverTimeout=-1;let{active:ro}=this;if(ro.length){let{tooltip:no}=this;no&&no.dom.contains(to.relatedTarget)?this.watchTooltipLeave(no.dom):this.view.dispatch({effects:this.setHover.of([])})}}watchTooltipLeave(to){let ro=no=>{to.removeEventListener("mouseleave",ro),this.active.length&&!this.view.dom.contains(no.relatedTarget)&&this.view.dispatch({effects:this.setHover.of([])})};to.addEventListener("mouseleave",ro)}destroy(){clearTimeout(this.hoverTimeout),this.view.dom.removeEventListener("mouseleave",this.mouseleave),this.view.dom.removeEventListener("mousemove",this.mousemove)}}const tooltipMargin=4;function isInTooltip(eo,to){let ro=eo.getBoundingClientRect();return to.clientX>=ro.left-tooltipMargin&&to.clientX<=ro.right+tooltipMargin&&to.clientY>=ro.top-tooltipMargin&&to.clientY<=ro.bottom+tooltipMargin}function isOverRange(eo,to,ro,no,oo,io){let so=eo.scrollDOM.getBoundingClientRect(),ao=eo.documentTop+eo.documentPadding.top+eo.contentHeight;if(so.left>no||so.right<no||so.top>oo||Math.min(so.bottom,ao)<oo)return!1;let lo=eo.posAtCoords({x:no,y:oo},!1);return lo>=to&&lo<=ro}function hoverTooltip(eo,to={}){let ro=StateEffect.define(),no=StateField.define({create(){return[]},update(oo,io){if(oo.length&&(to.hideOnChange&&(io.docChanged||io.selection)?oo=[]:to.hideOn&&(oo=oo.filter(so=>!to.hideOn(io,so))),io.docChanged)){let so=[];for(let ao of oo){let lo=io.changes.mapPos(ao.pos,-1,MapMode.TrackDel);if(lo!=null){let uo=Object.assign(Object.create(null),ao);uo.pos=lo,uo.end!=null&&(uo.end=io.changes.mapPos(uo.end)),so.push(uo)}}oo=so}for(let so of io.effects)so.is(ro)&&(oo=so.value),so.is(closeHoverTooltipEffect)&&(oo=[]);return oo},provide:oo=>showHoverTooltip.from(oo)});return[no,ViewPlugin.define(oo=>new HoverPlugin(oo,eo,no,ro,to.hoverTime||300)),showHoverTooltipHost]}function getTooltip(eo,to){let ro=eo.plugin(tooltipPlugin);if(!ro)return null;let no=ro.manager.tooltips.indexOf(to);return no<0?null:ro.manager.tooltipViews[no]}const closeHoverTooltipEffect=StateEffect.define(),panelConfig=Facet.define({combine(eo){let to,ro;for(let no of eo)to=to||no.topContainer,ro=ro||no.bottomContainer;return{topContainer:to,bottomContainer:ro}}});function getPanel(eo,to){let ro=eo.plugin(panelPlugin),no=ro?ro.specs.indexOf(to):-1;return no>-1?ro.panels[no]:null}const panelPlugin=ViewPlugin.fromClass(class{constructor(eo){this.input=eo.state.facet(showPanel),this.specs=this.input.filter(ro=>ro),this.panels=this.specs.map(ro=>ro(eo));let to=eo.state.facet(panelConfig);this.top=new PanelGroup(eo,!0,to.topContainer),this.bottom=new PanelGroup(eo,!1,to.bottomContainer),this.top.sync(this.panels.filter(ro=>ro.top)),this.bottom.sync(this.panels.filter(ro=>!ro.top));for(let ro of this.panels)ro.dom.classList.add("cm-panel"),ro.mount&&ro.mount()}update(eo){let to=eo.state.facet(panelConfig);this.top.container!=to.topContainer&&(this.top.sync([]),this.top=new PanelGroup(eo.view,!0,to.topContainer)),this.bottom.container!=to.bottomContainer&&(this.bottom.sync([]),this.bottom=new PanelGroup(eo.view,!1,to.bottomContainer)),this.top.syncClasses(),this.bottom.syncClasses();let ro=eo.state.facet(showPanel);if(ro!=this.input){let no=ro.filter(lo=>lo),oo=[],io=[],so=[],ao=[];for(let lo of no){let uo=this.specs.indexOf(lo),co;uo<0?(co=lo(eo.view),ao.push(co)):(co=this.panels[uo],co.update&&co.update(eo)),oo.push(co),(co.top?io:so).push(co)}this.specs=no,this.panels=oo,this.top.sync(io),this.bottom.sync(so);for(let lo of ao)lo.dom.classList.add("cm-panel"),lo.mount&&lo.mount()}else for(let no of this.panels)no.update&&no.update(eo)}destroy(){this.top.sync([]),this.bottom.sync([])}},{provide:eo=>EditorView.scrollMargins.of(to=>{let ro=to.plugin(eo);return ro&&{top:ro.top.scrollMargin(),bottom:ro.bottom.scrollMargin()}})});class PanelGroup{constructor(to,ro,no){this.view=to,this.top=ro,this.container=no,this.dom=void 0,this.classes="",this.panels=[],this.syncClasses()}sync(to){for(let ro of this.panels)ro.destroy&&to.indexOf(ro)<0&&ro.destroy();this.panels=to,this.syncDOM()}syncDOM(){if(this.panels.length==0){this.dom&&(this.dom.remove(),this.dom=void 0);return}if(!this.dom){this.dom=document.createElement("div"),this.dom.className=this.top?"cm-panels cm-panels-top":"cm-panels cm-panels-bottom",this.dom.style[this.top?"top":"bottom"]="0";let ro=this.container||this.view.dom;ro.insertBefore(this.dom,this.top?ro.firstChild:null)}let to=this.dom.firstChild;for(let ro of this.panels)if(ro.dom.parentNode==this.dom){for(;to!=ro.dom;)to=rm(to);to=to.nextSibling}else this.dom.insertBefore(ro.dom,to);for(;to;)to=rm(to)}scrollMargin(){return!this.dom||this.container?0:Math.max(0,this.top?this.dom.getBoundingClientRect().bottom-Math.max(0,this.view.scrollDOM.getBoundingClientRect().top):Math.min(innerHeight,this.view.scrollDOM.getBoundingClientRect().bottom)-this.dom.getBoundingClientRect().top)}syncClasses(){if(!(!this.container||this.classes==this.view.themeClasses)){for(let to of this.classes.split(" "))to&&this.container.classList.remove(to);for(let to of(this.classes=this.view.themeClasses).split(" "))to&&this.container.classList.add(to)}}}function rm(eo){let to=eo.nextSibling;return eo.remove(),to}const showPanel=Facet.define({enables:panelPlugin});class GutterMarker extends RangeValue{compare(to){return this==to||this.constructor==to.constructor&&this.eq(to)}eq(to){return!1}destroy(to){}}GutterMarker.prototype.elementClass="";GutterMarker.prototype.toDOM=void 0;GutterMarker.prototype.mapMode=MapMode.TrackBefore;GutterMarker.prototype.startSide=GutterMarker.prototype.endSide=-1;GutterMarker.prototype.point=!0;const gutterLineClass=Facet.define(),defaults$1={class:"",renderEmptyElements:!1,elementStyle:"",markers:()=>RangeSet.empty,lineMarker:()=>null,widgetMarker:()=>null,lineMarkerChange:null,initialSpacer:null,updateSpacer:null,domEventHandlers:{}},activeGutters=Facet.define();function gutter(eo){return[gutters(),activeGutters.of(Object.assign(Object.assign({},defaults$1),eo))]}const unfixGutters=Facet.define({combine:eo=>eo.some(to=>to)});function gutters(eo){let to=[gutterView];return eo&&eo.fixed===!1&&to.push(unfixGutters.of(!0)),to}const gutterView=ViewPlugin.fromClass(class{constructor(eo){this.view=eo,this.prevViewport=eo.viewport,this.dom=document.createElement("div"),this.dom.className="cm-gutters",this.dom.setAttribute("aria-hidden","true"),this.dom.style.minHeight=this.view.contentHeight/this.view.scaleY+"px",this.gutters=eo.state.facet(activeGutters).map(to=>new SingleGutterView(eo,to));for(let to of this.gutters)this.dom.appendChild(to.dom);this.fixed=!eo.state.facet(unfixGutters),this.fixed&&(this.dom.style.position="sticky"),this.syncGutters(!1),eo.scrollDOM.insertBefore(this.dom,eo.contentDOM)}update(eo){if(this.updateGutters(eo)){let to=this.prevViewport,ro=eo.view.viewport,no=Math.min(to.to,ro.to)-Math.max(to.from,ro.from);this.syncGutters(no<(ro.to-ro.from)*.8)}eo.geometryChanged&&(this.dom.style.minHeight=this.view.contentHeight/this.view.scaleY+"px"),this.view.state.facet(unfixGutters)!=!this.fixed&&(this.fixed=!this.fixed,this.dom.style.position=this.fixed?"sticky":""),this.prevViewport=eo.view.viewport}syncGutters(eo){let to=this.dom.nextSibling;eo&&this.dom.remove();let ro=RangeSet.iter(this.view.state.facet(gutterLineClass),this.view.viewport.from),no=[],oo=this.gutters.map(io=>new UpdateContext(io,this.view.viewport,-this.view.documentPadding.top));for(let io of this.view.viewportLineBlocks)if(no.length&&(no=[]),Array.isArray(io.type)){let so=!0;for(let ao of io.type)if(ao.type==BlockType.Text&&so){advanceCursor(ro,no,ao.from);for(let lo of oo)lo.line(this.view,ao,no);so=!1}else if(ao.widget)for(let lo of oo)lo.widget(this.view,ao)}else if(io.type==BlockType.Text){advanceCursor(ro,no,io.from);for(let so of oo)so.line(this.view,io,no)}else if(io.widget)for(let so of oo)so.widget(this.view,io);for(let io of oo)io.finish();eo&&this.view.scrollDOM.insertBefore(this.dom,to)}updateGutters(eo){let to=eo.startState.facet(activeGutters),ro=eo.state.facet(activeGutters),no=eo.docChanged||eo.heightChanged||eo.viewportChanged||!RangeSet.eq(eo.startState.facet(gutterLineClass),eo.state.facet(gutterLineClass),eo.view.viewport.from,eo.view.viewport.to);if(to==ro)for(let oo of this.gutters)oo.update(eo)&&(no=!0);else{no=!0;let oo=[];for(let io of ro){let so=to.indexOf(io);so<0?oo.push(new SingleGutterView(this.view,io)):(this.gutters[so].update(eo),oo.push(this.gutters[so]))}for(let io of this.gutters)io.dom.remove(),oo.indexOf(io)<0&&io.destroy();for(let io of oo)this.dom.appendChild(io.dom);this.gutters=oo}return no}destroy(){for(let eo of this.gutters)eo.destroy();this.dom.remove()}},{provide:eo=>EditorView.scrollMargins.of(to=>{let ro=to.plugin(eo);return!ro||ro.gutters.length==0||!ro.fixed?null:to.textDirection==Direction.LTR?{left:ro.dom.offsetWidth*to.scaleX}:{right:ro.dom.offsetWidth*to.scaleX}})});function asArray(eo){return Array.isArray(eo)?eo:[eo]}function advanceCursor(eo,to,ro){for(;eo.value&&eo.from<=ro;)eo.from==ro&&to.push(eo.value),eo.next()}class UpdateContext{constructor(to,ro,no){this.gutter=to,this.height=no,this.i=0,this.cursor=RangeSet.iter(to.markers,ro.from)}addElement(to,ro,no){let{gutter:oo}=this,io=(ro.top-this.height)/to.scaleY,so=ro.height/to.scaleY;if(this.i==oo.elements.length){let ao=new GutterElement(to,so,io,no);oo.elements.push(ao),oo.dom.appendChild(ao.dom)}else oo.elements[this.i].update(to,so,io,no);this.height=ro.bottom,this.i++}line(to,ro,no){let oo=[];advanceCursor(this.cursor,oo,ro.from),no.length&&(oo=oo.concat(no));let io=this.gutter.config.lineMarker(to,ro,oo);io&&oo.unshift(io);let so=this.gutter;oo.length==0&&!so.config.renderEmptyElements||this.addElement(to,ro,oo)}widget(to,ro){let no=this.gutter.config.widgetMarker(to,ro.widget,ro);no&&this.addElement(to,ro,[no])}finish(){let to=this.gutter;for(;to.elements.length>this.i;){let ro=to.elements.pop();to.dom.removeChild(ro.dom),ro.destroy()}}}class SingleGutterView{constructor(to,ro){this.view=to,this.config=ro,this.elements=[],this.spacer=null,this.dom=document.createElement("div"),this.dom.className="cm-gutter"+(this.config.class?" "+this.config.class:"");for(let no in ro.domEventHandlers)this.dom.addEventListener(no,oo=>{let io=oo.target,so;if(io!=this.dom&&this.dom.contains(io)){for(;io.parentNode!=this.dom;)io=io.parentNode;let lo=io.getBoundingClientRect();so=(lo.top+lo.bottom)/2}else so=oo.clientY;let ao=to.lineBlockAtHeight(so-to.documentTop);ro.domEventHandlers[no](to,ao,oo)&&oo.preventDefault()});this.markers=asArray(ro.markers(to)),ro.initialSpacer&&(this.spacer=new GutterElement(to,0,0,[ro.initialSpacer(to)]),this.dom.appendChild(this.spacer.dom),this.spacer.dom.style.cssText+="visibility: hidden; pointer-events: none")}update(to){let ro=this.markers;if(this.markers=asArray(this.config.markers(to.view)),this.spacer&&this.config.updateSpacer){let oo=this.config.updateSpacer(this.spacer.markers[0],to);oo!=this.spacer.markers[0]&&this.spacer.update(to.view,0,0,[oo])}let no=to.view.viewport;return!RangeSet.eq(this.markers,ro,no.from,no.to)||(this.config.lineMarkerChange?this.config.lineMarkerChange(to):!1)}destroy(){for(let to of this.elements)to.destroy()}}class GutterElement{constructor(to,ro,no,oo){this.height=-1,this.above=0,this.markers=[],this.dom=document.createElement("div"),this.dom.className="cm-gutterElement",this.update(to,ro,no,oo)}update(to,ro,no,oo){this.height!=ro&&(this.height=ro,this.dom.style.height=ro+"px"),this.above!=no&&(this.dom.style.marginTop=(this.above=no)?no+"px":""),sameMarkers(this.markers,oo)||this.setMarkers(to,oo)}setMarkers(to,ro){let no="cm-gutterElement",oo=this.dom.firstChild;for(let io=0,so=0;;){let ao=so,lo=io<ro.length?ro[io++]:null,uo=!1;if(lo){let co=lo.elementClass;co&&(no+=" "+co);for(let fo=so;fo<this.markers.length;fo++)if(this.markers[fo].compare(lo)){ao=fo,uo=!0;break}}else ao=this.markers.length;for(;so<ao;){let co=this.markers[so++];if(co.toDOM){co.destroy(oo);let fo=oo.nextSibling;oo.remove(),oo=fo}}if(!lo)break;lo.toDOM&&(uo?oo=oo.nextSibling:this.dom.insertBefore(lo.toDOM(to),oo)),uo&&so++}this.dom.className=no,this.markers=ro}destroy(){this.setMarkers(null,[])}}function sameMarkers(eo,to){if(eo.length!=to.length)return!1;for(let ro=0;ro<eo.length;ro++)if(!eo[ro].compare(to[ro]))return!1;return!0}const lineNumberMarkers=Facet.define(),lineNumberConfig=Facet.define({combine(eo){return combineConfig(eo,{formatNumber:String,domEventHandlers:{}},{domEventHandlers(to,ro){let no=Object.assign({},to);for(let oo in ro){let io=no[oo],so=ro[oo];no[oo]=io?(ao,lo,uo)=>io(ao,lo,uo)||so(ao,lo,uo):so}return no}})}});class NumberMarker extends GutterMarker{constructor(to){super(),this.number=to}eq(to){return this.number==to.number}toDOM(){return document.createTextNode(this.number)}}function formatNumber(eo,to){return eo.state.facet(lineNumberConfig).formatNumber(to,eo.state)}const lineNumberGutter=activeGutters.compute([lineNumberConfig],eo=>({class:"cm-lineNumbers",renderEmptyElements:!1,markers(to){return to.state.facet(lineNumberMarkers)},lineMarker(to,ro,no){return no.some(oo=>oo.toDOM)?null:new NumberMarker(formatNumber(to,to.state.doc.lineAt(ro.from).number))},widgetMarker:()=>null,lineMarkerChange:to=>to.startState.facet(lineNumberConfig)!=to.state.facet(lineNumberConfig),initialSpacer(to){return new NumberMarker(formatNumber(to,maxLineNumber(to.state.doc.lines)))},updateSpacer(to,ro){let no=formatNumber(ro.view,maxLineNumber(ro.view.state.doc.lines));return no==to.number?to:new NumberMarker(no)},domEventHandlers:eo.facet(lineNumberConfig).domEventHandlers}));function lineNumbers(eo={}){return[lineNumberConfig.of(eo),gutters(),lineNumberGutter]}function maxLineNumber(eo){let to=9;for(;to<eo;)to=to*10+9;return to}const activeLineGutterMarker=new class extends GutterMarker{constructor(){super(...arguments),this.elementClass="cm-activeLineGutter"}},activeLineGutterHighlighter=gutterLineClass.compute(["selection"],eo=>{let to=[],ro=-1;for(let no of eo.selection.ranges){let oo=eo.doc.lineAt(no.head).from;oo>ro&&(ro=oo,to.push(activeLineGutterMarker.range(oo)))}return RangeSet.of(to)});function highlightActiveLineGutter(){return activeLineGutterHighlighter}const DefaultBufferLength=1024;let nextPropID=0,Range$1=class{constructor(to,ro){this.from=to,this.to=ro}};class NodeProp{constructor(to={}){this.id=nextPropID++,this.perNode=!!to.perNode,this.deserialize=to.deserialize||(()=>{throw new Error("This node type doesn't define a deserialize function")})}add(to){if(this.perNode)throw new RangeError("Can't add per-node props to node types");return typeof to!="function"&&(to=NodeType.match(to)),ro=>{let no=to(ro);return no===void 0?null:[this,no]}}}NodeProp.closedBy=new NodeProp({deserialize:eo=>eo.split(" ")});NodeProp.openedBy=new NodeProp({deserialize:eo=>eo.split(" ")});NodeProp.group=new NodeProp({deserialize:eo=>eo.split(" ")});NodeProp.isolate=new NodeProp({deserialize:eo=>{if(eo&&eo!="rtl"&&eo!="ltr"&&eo!="auto")throw new RangeError("Invalid value for isolate: "+eo);return eo||"auto"}});NodeProp.contextHash=new NodeProp({perNode:!0});NodeProp.lookAhead=new NodeProp({perNode:!0});NodeProp.mounted=new NodeProp({perNode:!0});class MountedTree{constructor(to,ro,no){this.tree=to,this.overlay=ro,this.parser=no}static get(to){return to&&to.props&&to.props[NodeProp.mounted.id]}}const noProps=Object.create(null);class NodeType{constructor(to,ro,no,oo=0){this.name=to,this.props=ro,this.id=no,this.flags=oo}static define(to){let ro=to.props&&to.props.length?Object.create(null):noProps,no=(to.top?1:0)|(to.skipped?2:0)|(to.error?4:0)|(to.name==null?8:0),oo=new NodeType(to.name||"",ro,to.id,no);if(to.props){for(let io of to.props)if(Array.isArray(io)||(io=io(oo)),io){if(io[0].perNode)throw new RangeError("Can't store a per-node prop on a node type");ro[io[0].id]=io[1]}}return oo}prop(to){return this.props[to.id]}get isTop(){return(this.flags&1)>0}get isSkipped(){return(this.flags&2)>0}get isError(){return(this.flags&4)>0}get isAnonymous(){return(this.flags&8)>0}is(to){if(typeof to=="string"){if(this.name==to)return!0;let ro=this.prop(NodeProp.group);return ro?ro.indexOf(to)>-1:!1}return this.id==to}static match(to){let ro=Object.create(null);for(let no in to)for(let oo of no.split(" "))ro[oo]=to[no];return no=>{for(let oo=no.prop(NodeProp.group),io=-1;io<(oo?oo.length:0);io++){let so=ro[io<0?no.name:oo[io]];if(so)return so}}}}NodeType.none=new NodeType("",Object.create(null),0,8);class NodeSet{constructor(to){this.types=to;for(let ro=0;ro<to.length;ro++)if(to[ro].id!=ro)throw new RangeError("Node type ids should correspond to array positions when creating a node set")}extend(...to){let ro=[];for(let no of this.types){let oo=null;for(let io of to){let so=io(no);so&&(oo||(oo=Object.assign({},no.props)),oo[so[0].id]=so[1])}ro.push(oo?new NodeType(no.name,oo,no.id,no.flags):no)}return new NodeSet(ro)}}const CachedNode=new WeakMap,CachedInnerNode=new WeakMap;var IterMode;(function(eo){eo[eo.ExcludeBuffers=1]="ExcludeBuffers",eo[eo.IncludeAnonymous=2]="IncludeAnonymous",eo[eo.IgnoreMounts=4]="IgnoreMounts",eo[eo.IgnoreOverlays=8]="IgnoreOverlays"})(IterMode||(IterMode={}));class Tree{constructor(to,ro,no,oo,io){if(this.type=to,this.children=ro,this.positions=no,this.length=oo,this.props=null,io&&io.length){this.props=Object.create(null);for(let[so,ao]of io)this.props[typeof so=="number"?so:so.id]=ao}}toString(){let to=MountedTree.get(this);if(to&&!to.overlay)return to.tree.toString();let ro="";for(let no of this.children){let oo=no.toString();oo&&(ro&&(ro+=","),ro+=oo)}return this.type.name?(/\W/.test(this.type.name)&&!this.type.isError?JSON.stringify(this.type.name):this.type.name)+(ro.length?"("+ro+")":""):ro}cursor(to=0){return new TreeCursor(this.topNode,to)}cursorAt(to,ro=0,no=0){let oo=CachedNode.get(this)||this.topNode,io=new TreeCursor(oo);return io.moveTo(to,ro),CachedNode.set(this,io._tree),io}get topNode(){return new TreeNode(this,0,0,null)}resolve(to,ro=0){let no=resolveNode(CachedNode.get(this)||this.topNode,to,ro,!1);return CachedNode.set(this,no),no}resolveInner(to,ro=0){let no=resolveNode(CachedInnerNode.get(this)||this.topNode,to,ro,!0);return CachedInnerNode.set(this,no),no}resolveStack(to,ro=0){return stackIterator(this,to,ro)}iterate(to){let{enter:ro,leave:no,from:oo=0,to:io=this.length}=to,so=to.mode||0,ao=(so&IterMode.IncludeAnonymous)>0;for(let lo=this.cursor(so|IterMode.IncludeAnonymous);;){let uo=!1;if(lo.from<=io&&lo.to>=oo&&(!ao&&lo.type.isAnonymous||ro(lo)!==!1)){if(lo.firstChild())continue;uo=!0}for(;uo&&no&&(ao||!lo.type.isAnonymous)&&no(lo),!lo.nextSibling();){if(!lo.parent())return;uo=!0}}}prop(to){return to.perNode?this.props?this.props[to.id]:void 0:this.type.prop(to)}get propValues(){let to=[];if(this.props)for(let ro in this.props)to.push([+ro,this.props[ro]]);return to}balance(to={}){return this.children.length<=8?this:balanceRange(NodeType.none,this.children,this.positions,0,this.children.length,0,this.length,(ro,no,oo)=>new Tree(this.type,ro,no,oo,this.propValues),to.makeTree||((ro,no,oo)=>new Tree(NodeType.none,ro,no,oo)))}static build(to){return buildTree(to)}}Tree.empty=new Tree(NodeType.none,[],[],0);class FlatBufferCursor{constructor(to,ro){this.buffer=to,this.index=ro}get id(){return this.buffer[this.index-4]}get start(){return this.buffer[this.index-3]}get end(){return this.buffer[this.index-2]}get size(){return this.buffer[this.index-1]}get pos(){return this.index}next(){this.index-=4}fork(){return new FlatBufferCursor(this.buffer,this.index)}}class TreeBuffer{constructor(to,ro,no){this.buffer=to,this.length=ro,this.set=no}get type(){return NodeType.none}toString(){let to=[];for(let ro=0;ro<this.buffer.length;)to.push(this.childString(ro)),ro=this.buffer[ro+3];return to.join(",")}childString(to){let ro=this.buffer[to],no=this.buffer[to+3],oo=this.set.types[ro],io=oo.name;if(/\W/.test(io)&&!oo.isError&&(io=JSON.stringify(io)),to+=4,no==to)return io;let so=[];for(;to<no;)so.push(this.childString(to)),to=this.buffer[to+3];return io+"("+so.join(",")+")"}findChild(to,ro,no,oo,io){let{buffer:so}=this,ao=-1;for(let lo=to;lo!=ro&&!(checkSide(io,oo,so[lo+1],so[lo+2])&&(ao=lo,no>0));lo=so[lo+3]);return ao}slice(to,ro,no){let oo=this.buffer,io=new Uint16Array(ro-to),so=0;for(let ao=to,lo=0;ao<ro;){io[lo++]=oo[ao++],io[lo++]=oo[ao++]-no;let uo=io[lo++]=oo[ao++]-no;io[lo++]=oo[ao++]-to,so=Math.max(so,uo)}return new TreeBuffer(io,so,this.set)}}function checkSide(eo,to,ro,no){switch(eo){case-2:return ro<to;case-1:return no>=to&&ro<to;case 0:return ro<to&&no>to;case 1:return ro<=to&&no>to;case 2:return no>to;case 4:return!0}}function resolveNode(eo,to,ro,no){for(var oo;eo.from==eo.to||(ro<1?eo.from>=to:eo.from>to)||(ro>-1?eo.to<=to:eo.to<to);){let so=!no&&eo instanceof TreeNode&&eo.index<0?null:eo.parent;if(!so)return eo;eo=so}let io=no?0:IterMode.IgnoreOverlays;if(no)for(let so=eo,ao=so.parent;ao;so=ao,ao=so.parent)so instanceof TreeNode&&so.index<0&&((oo=ao.enter(to,ro,io))===null||oo===void 0?void 0:oo.from)!=so.from&&(eo=ao);for(;;){let so=eo.enter(to,ro,io);if(!so)return eo;eo=so}}class BaseNode{cursor(to=0){return new TreeCursor(this,to)}getChild(to,ro=null,no=null){let oo=getChildren(this,to,ro,no);return oo.length?oo[0]:null}getChildren(to,ro=null,no=null){return getChildren(this,to,ro,no)}resolve(to,ro=0){return resolveNode(this,to,ro,!1)}resolveInner(to,ro=0){return resolveNode(this,to,ro,!0)}matchContext(to){return matchNodeContext(this,to)}enterUnfinishedNodesBefore(to){let ro=this.childBefore(to),no=this;for(;ro;){let oo=ro.lastChild;if(!oo||oo.to!=ro.to)break;oo.type.isError&&oo.from==oo.to?(no=ro,ro=oo.prevSibling):ro=oo}return no}get node(){return this}get next(){return this.parent}}class TreeNode extends BaseNode{constructor(to,ro,no,oo){super(),this._tree=to,this.from=ro,this.index=no,this._parent=oo}get type(){return this._tree.type}get name(){return this._tree.type.name}get to(){return this.from+this._tree.length}nextChild(to,ro,no,oo,io=0){for(let so=this;;){for(let{children:ao,positions:lo}=so._tree,uo=ro>0?ao.length:-1;to!=uo;to+=ro){let co=ao[to],fo=lo[to]+so.from;if(checkSide(oo,no,fo,fo+co.length)){if(co instanceof TreeBuffer){if(io&IterMode.ExcludeBuffers)continue;let ho=co.findChild(0,co.buffer.length,ro,no-fo,oo);if(ho>-1)return new BufferNode(new BufferContext(so,co,to,fo),null,ho)}else if(io&IterMode.IncludeAnonymous||!co.type.isAnonymous||hasChild(co)){let ho;if(!(io&IterMode.IgnoreMounts)&&(ho=MountedTree.get(co))&&!ho.overlay)return new TreeNode(ho.tree,fo,to,so);let po=new TreeNode(co,fo,to,so);return io&IterMode.IncludeAnonymous||!po.type.isAnonymous?po:po.nextChild(ro<0?co.children.length-1:0,ro,no,oo)}}}if(io&IterMode.IncludeAnonymous||!so.type.isAnonymous||(so.index>=0?to=so.index+ro:to=ro<0?-1:so._parent._tree.children.length,so=so._parent,!so))return null}}get firstChild(){return this.nextChild(0,1,0,4)}get lastChild(){return this.nextChild(this._tree.children.length-1,-1,0,4)}childAfter(to){return this.nextChild(0,1,to,2)}childBefore(to){return this.nextChild(this._tree.children.length-1,-1,to,-2)}enter(to,ro,no=0){let oo;if(!(no&IterMode.IgnoreOverlays)&&(oo=MountedTree.get(this._tree))&&oo.overlay){let io=to-this.from;for(let{from:so,to:ao}of oo.overlay)if((ro>0?so<=io:so<io)&&(ro<0?ao>=io:ao>io))return new TreeNode(oo.tree,oo.overlay[0].from+this.from,-1,this)}return this.nextChild(0,1,to,ro,no)}nextSignificantParent(){let to=this;for(;to.type.isAnonymous&&to._parent;)to=to._parent;return to}get parent(){return this._parent?this._parent.nextSignificantParent():null}get nextSibling(){return this._parent&&this.index>=0?this._parent.nextChild(this.index+1,1,0,4):null}get prevSibling(){return this._parent&&this.index>=0?this._parent.nextChild(this.index-1,-1,0,4):null}get tree(){return this._tree}toTree(){return this._tree}toString(){return this._tree.toString()}}function getChildren(eo,to,ro,no){let oo=eo.cursor(),io=[];if(!oo.firstChild())return io;if(ro!=null){for(let so=!1;!so;)if(so=oo.type.is(ro),!oo.nextSibling())return io}for(;;){if(no!=null&&oo.type.is(no))return io;if(oo.type.is(to)&&io.push(oo.node),!oo.nextSibling())return no==null?io:[]}}function matchNodeContext(eo,to,ro=to.length-1){for(let no=eo.parent;ro>=0;no=no.parent){if(!no)return!1;if(!no.type.isAnonymous){if(to[ro]&&to[ro]!=no.name)return!1;ro--}}return!0}class BufferContext{constructor(to,ro,no,oo){this.parent=to,this.buffer=ro,this.index=no,this.start=oo}}class BufferNode extends BaseNode{get name(){return this.type.name}get from(){return this.context.start+this.context.buffer.buffer[this.index+1]}get to(){return this.context.start+this.context.buffer.buffer[this.index+2]}constructor(to,ro,no){super(),this.context=to,this._parent=ro,this.index=no,this.type=to.buffer.set.types[to.buffer.buffer[no]]}child(to,ro,no){let{buffer:oo}=this.context,io=oo.findChild(this.index+4,oo.buffer[this.index+3],to,ro-this.context.start,no);return io<0?null:new BufferNode(this.context,this,io)}get firstChild(){return this.child(1,0,4)}get lastChild(){return this.child(-1,0,4)}childAfter(to){return this.child(1,to,2)}childBefore(to){return this.child(-1,to,-2)}enter(to,ro,no=0){if(no&IterMode.ExcludeBuffers)return null;let{buffer:oo}=this.context,io=oo.findChild(this.index+4,oo.buffer[this.index+3],ro>0?1:-1,to-this.context.start,ro);return io<0?null:new BufferNode(this.context,this,io)}get parent(){return this._parent||this.context.parent.nextSignificantParent()}externalSibling(to){return this._parent?null:this.context.parent.nextChild(this.context.index+to,to,0,4)}get nextSibling(){let{buffer:to}=this.context,ro=to.buffer[this.index+3];return ro<(this._parent?to.buffer[this._parent.index+3]:to.buffer.length)?new BufferNode(this.context,this._parent,ro):this.externalSibling(1)}get prevSibling(){let{buffer:to}=this.context,ro=this._parent?this._parent.index+4:0;return this.index==ro?this.externalSibling(-1):new BufferNode(this.context,this._parent,to.findChild(ro,this.index,-1,0,4))}get tree(){return null}toTree(){let to=[],ro=[],{buffer:no}=this.context,oo=this.index+4,io=no.buffer[this.index+3];if(io>oo){let so=no.buffer[this.index+1];to.push(no.slice(oo,io,so)),ro.push(0)}return new Tree(this.type,to,ro,this.to-this.from)}toString(){return this.context.buffer.childString(this.index)}}function iterStack(eo){if(!eo.length)return null;let to=0,ro=eo[0];for(let io=1;io<eo.length;io++){let so=eo[io];(so.from>ro.from||so.to<ro.to)&&(ro=so,to=io)}let no=ro instanceof TreeNode&&ro.index<0?null:ro.parent,oo=eo.slice();return no?oo[to]=no:oo.splice(to,1),new StackIterator(oo,ro)}class StackIterator{constructor(to,ro){this.heads=to,this.node=ro}get next(){return iterStack(this.heads)}}function stackIterator(eo,to,ro){let no=eo.resolveInner(to,ro),oo=null;for(let io=no instanceof TreeNode?no:no.context.parent;io;io=io.parent)if(io.index<0){let so=io.parent;(oo||(oo=[no])).push(so.resolve(to,ro)),io=so}else{let so=MountedTree.get(io.tree);if(so&&so.overlay&&so.overlay[0].from<=to&&so.overlay[so.overlay.length-1].to>=to){let ao=new TreeNode(so.tree,so.overlay[0].from+io.from,-1,io);(oo||(oo=[no])).push(resolveNode(ao,to,ro,!1))}}return oo?iterStack(oo):no}class TreeCursor{get name(){return this.type.name}constructor(to,ro=0){if(this.mode=ro,this.buffer=null,this.stack=[],this.index=0,this.bufferNode=null,to instanceof TreeNode)this.yieldNode(to);else{this._tree=to.context.parent,this.buffer=to.context;for(let no=to._parent;no;no=no._parent)this.stack.unshift(no.index);this.bufferNode=to,this.yieldBuf(to.index)}}yieldNode(to){return to?(this._tree=to,this.type=to.type,this.from=to.from,this.to=to.to,!0):!1}yieldBuf(to,ro){this.index=to;let{start:no,buffer:oo}=this.buffer;return this.type=ro||oo.set.types[oo.buffer[to]],this.from=no+oo.buffer[to+1],this.to=no+oo.buffer[to+2],!0}yield(to){return to?to instanceof TreeNode?(this.buffer=null,this.yieldNode(to)):(this.buffer=to.context,this.yieldBuf(to.index,to.type)):!1}toString(){return this.buffer?this.buffer.buffer.childString(this.index):this._tree.toString()}enterChild(to,ro,no){if(!this.buffer)return this.yield(this._tree.nextChild(to<0?this._tree._tree.children.length-1:0,to,ro,no,this.mode));let{buffer:oo}=this.buffer,io=oo.findChild(this.index+4,oo.buffer[this.index+3],to,ro-this.buffer.start,no);return io<0?!1:(this.stack.push(this.index),this.yieldBuf(io))}firstChild(){return this.enterChild(1,0,4)}lastChild(){return this.enterChild(-1,0,4)}childAfter(to){return this.enterChild(1,to,2)}childBefore(to){return this.enterChild(-1,to,-2)}enter(to,ro,no=this.mode){return this.buffer?no&IterMode.ExcludeBuffers?!1:this.enterChild(1,to,ro):this.yield(this._tree.enter(to,ro,no))}parent(){if(!this.buffer)return this.yieldNode(this.mode&IterMode.IncludeAnonymous?this._tree._parent:this._tree.parent);if(this.stack.length)return this.yieldBuf(this.stack.pop());let to=this.mode&IterMode.IncludeAnonymous?this.buffer.parent:this.buffer.parent.nextSignificantParent();return this.buffer=null,this.yieldNode(to)}sibling(to){if(!this.buffer)return this._tree._parent?this.yield(this._tree.index<0?null:this._tree._parent.nextChild(this._tree.index+to,to,0,4,this.mode)):!1;let{buffer:ro}=this.buffer,no=this.stack.length-1;if(to<0){let oo=no<0?0:this.stack[no]+4;if(this.index!=oo)return this.yieldBuf(ro.findChild(oo,this.index,-1,0,4))}else{let oo=ro.buffer[this.index+3];if(oo<(no<0?ro.buffer.length:ro.buffer[this.stack[no]+3]))return this.yieldBuf(oo)}return no<0?this.yield(this.buffer.parent.nextChild(this.buffer.index+to,to,0,4,this.mode)):!1}nextSibling(){return this.sibling(1)}prevSibling(){return this.sibling(-1)}atLastNode(to){let ro,no,{buffer:oo}=this;if(oo){if(to>0){if(this.index<oo.buffer.buffer.length)return!1}else for(let io=0;io<this.index;io++)if(oo.buffer.buffer[io+3]<this.index)return!1;({index:ro,parent:no}=oo)}else({index:ro,_parent:no}=this._tree);for(;no;{index:ro,_parent:no}=no)if(ro>-1)for(let io=ro+to,so=to<0?-1:no._tree.children.length;io!=so;io+=to){let ao=no._tree.children[io];if(this.mode&IterMode.IncludeAnonymous||ao instanceof TreeBuffer||!ao.type.isAnonymous||hasChild(ao))return!1}return!0}move(to,ro){if(ro&&this.enterChild(to,0,4))return!0;for(;;){if(this.sibling(to))return!0;if(this.atLastNode(to)||!this.parent())return!1}}next(to=!0){return this.move(1,to)}prev(to=!0){return this.move(-1,to)}moveTo(to,ro=0){for(;(this.from==this.to||(ro<1?this.from>=to:this.from>to)||(ro>-1?this.to<=to:this.to<to))&&this.parent(););for(;this.enterChild(1,to,ro););return this}get node(){if(!this.buffer)return this._tree;let to=this.bufferNode,ro=null,no=0;if(to&&to.context==this.buffer)e:for(let oo=this.index,io=this.stack.length;io>=0;){for(let so=to;so;so=so._parent)if(so.index==oo){if(oo==this.index)return so;ro=so,no=io+1;break e}oo=this.stack[--io]}for(let oo=no;oo<this.stack.length;oo++)ro=new BufferNode(this.buffer,ro,this.stack[oo]);return this.bufferNode=new BufferNode(this.buffer,ro,this.index)}get tree(){return this.buffer?null:this._tree._tree}iterate(to,ro){for(let no=0;;){let oo=!1;if(this.type.isAnonymous||to(this)!==!1){if(this.firstChild()){no++;continue}this.type.isAnonymous||(oo=!0)}for(;oo&&ro&&ro(this),oo=this.type.isAnonymous,!this.nextSibling();){if(!no)return;this.parent(),no--,oo=!0}}}matchContext(to){if(!this.buffer)return matchNodeContext(this.node,to);let{buffer:ro}=this.buffer,{types:no}=ro.set;for(let oo=to.length-1,io=this.stack.length-1;oo>=0;io--){if(io<0)return matchNodeContext(this.node,to,oo);let so=no[ro.buffer[this.stack[io]]];if(!so.isAnonymous){if(to[oo]&&to[oo]!=so.name)return!1;oo--}}return!0}}function hasChild(eo){return eo.children.some(to=>to instanceof TreeBuffer||!to.type.isAnonymous||hasChild(to))}function buildTree(eo){var to;let{buffer:ro,nodeSet:no,maxBufferLength:oo=DefaultBufferLength,reused:io=[],minRepeatType:so=no.types.length}=eo,ao=Array.isArray(ro)?new FlatBufferCursor(ro,ro.length):ro,lo=no.types,uo=0,co=0;function fo(To,wo,Co,Oo,Ao,Ro){let{id:No,start:Mo,end:Do,size:jo}=ao,Fo=co;for(;jo<0;)if(ao.next(),jo==-1){let Uo=io[No];Co.push(Uo),Oo.push(Mo-To);return}else if(jo==-3){uo=No;return}else if(jo==-4){co=No;return}else throw new RangeError(`Unrecognized record size: ${jo}`);let $o=lo[No],Lo,Ho,qo=Mo-To;if(Do-Mo<=oo&&(Ho=bo(ao.pos-wo,Ao))){let Uo=new Uint16Array(Ho.size-Ho.skip),Yo=ao.pos-Ho.size,Zo=Uo.length;for(;ao.pos>Yo;)Zo=xo(Ho.start,Uo,Zo);Lo=new TreeBuffer(Uo,Do-Ho.start,no),qo=Ho.start-To}else{let Uo=ao.pos-jo;ao.next();let Yo=[],Zo=[],_s=No>=so?No:-1,Ss=0,As=Do;for(;ao.pos>Uo;)_s>=0&&ao.id==_s&&ao.size>=0?(ao.end<=As-oo&&(go(Yo,Zo,Mo,Ss,ao.end,As,_s,Fo),Ss=Yo.length,As=ao.end),ao.next()):Ro>2500?ho(Mo,Uo,Yo,Zo):fo(Mo,Uo,Yo,Zo,_s,Ro+1);if(_s>=0&&Ss>0&&Ss<Yo.length&&go(Yo,Zo,Mo,Ss,Mo,As,_s,Fo),Yo.reverse(),Zo.reverse(),_s>-1&&Ss>0){let Ns=po($o);Lo=balanceRange($o,Yo,Zo,0,Yo.length,0,Do-Mo,Ns,Ns)}else Lo=vo($o,Yo,Zo,Do-Mo,Fo-Do)}Co.push(Lo),Oo.push(qo)}function ho(To,wo,Co,Oo){let Ao=[],Ro=0,No=-1;for(;ao.pos>wo;){let{id:Mo,start:Do,end:jo,size:Fo}=ao;if(Fo>4)ao.next();else{if(No>-1&&Do<No)break;No<0&&(No=jo-oo),Ao.push(Mo,Do,jo),Ro++,ao.next()}}if(Ro){let Mo=new Uint16Array(Ro*4),Do=Ao[Ao.length-2];for(let jo=Ao.length-3,Fo=0;jo>=0;jo-=3)Mo[Fo++]=Ao[jo],Mo[Fo++]=Ao[jo+1]-Do,Mo[Fo++]=Ao[jo+2]-Do,Mo[Fo++]=Fo;Co.push(new TreeBuffer(Mo,Ao[2]-Do,no)),Oo.push(Do-To)}}function po(To){return(wo,Co,Oo)=>{let Ao=0,Ro=wo.length-1,No,Mo;if(Ro>=0&&(No=wo[Ro])instanceof Tree){if(!Ro&&No.type==To&&No.length==Oo)return No;(Mo=No.prop(NodeProp.lookAhead))&&(Ao=Co[Ro]+No.length+Mo)}return vo(To,wo,Co,Oo,Ao)}}function go(To,wo,Co,Oo,Ao,Ro,No,Mo){let Do=[],jo=[];for(;To.length>Oo;)Do.push(To.pop()),jo.push(wo.pop()+Co-Ao);To.push(vo(no.types[No],Do,jo,Ro-Ao,Mo-Ro)),wo.push(Ao-Co)}function vo(To,wo,Co,Oo,Ao=0,Ro){if(uo){let No=[NodeProp.contextHash,uo];Ro=Ro?[No].concat(Ro):[No]}if(Ao>25){let No=[NodeProp.lookAhead,Ao];Ro=Ro?[No].concat(Ro):[No]}return new Tree(To,wo,Co,Oo,Ro)}function bo(To,wo){let Co=ao.fork(),Oo=0,Ao=0,Ro=0,No=Co.end-oo,Mo={size:0,start:0,skip:0};e:for(let Do=Co.pos-To;Co.pos>Do;){let jo=Co.size;if(Co.id==wo&&jo>=0){Mo.size=Oo,Mo.start=Ao,Mo.skip=Ro,Ro+=4,Oo+=4,Co.next();continue}let Fo=Co.pos-jo;if(jo<0||Fo<Do||Co.start<No)break;let $o=Co.id>=so?4:0,Lo=Co.start;for(Co.next();Co.pos>Fo;){if(Co.size<0)if(Co.size==-3)$o+=4;else break e;else Co.id>=so&&($o+=4);Co.next()}Ao=Lo,Oo+=jo,Ro+=$o}return(wo<0||Oo==To)&&(Mo.size=Oo,Mo.start=Ao,Mo.skip=Ro),Mo.size>4?Mo:void 0}function xo(To,wo,Co){let{id:Oo,start:Ao,end:Ro,size:No}=ao;if(ao.next(),No>=0&&Oo<so){let Mo=Co;if(No>4){let Do=ao.pos-(No-4);for(;ao.pos>Do;)Co=xo(To,wo,Co)}wo[--Co]=Mo,wo[--Co]=Ro-To,wo[--Co]=Ao-To,wo[--Co]=Oo}else No==-3?uo=Oo:No==-4&&(co=Oo);return Co}let _o=[],Eo=[];for(;ao.pos>0;)fo(eo.start||0,eo.bufferStart||0,_o,Eo,-1,0);let So=(to=eo.length)!==null&&to!==void 0?to:_o.length?Eo[0]+_o[0].length:0;return new Tree(lo[eo.topID],_o.reverse(),Eo.reverse(),So)}const nodeSizeCache=new WeakMap;function nodeSize(eo,to){if(!eo.isAnonymous||to instanceof TreeBuffer||to.type!=eo)return 1;let ro=nodeSizeCache.get(to);if(ro==null){ro=1;for(let no of to.children){if(no.type!=eo||!(no instanceof Tree)){ro=1;break}ro+=nodeSize(eo,no)}nodeSizeCache.set(to,ro)}return ro}function balanceRange(eo,to,ro,no,oo,io,so,ao,lo){let uo=0;for(let go=no;go<oo;go++)uo+=nodeSize(eo,to[go]);let co=Math.ceil(uo*1.5/8),fo=[],ho=[];function po(go,vo,bo,xo,_o){for(let Eo=bo;Eo<xo;){let So=Eo,To=vo[Eo],wo=nodeSize(eo,go[Eo]);for(Eo++;Eo<xo;Eo++){let Co=nodeSize(eo,go[Eo]);if(wo+Co>=co)break;wo+=Co}if(Eo==So+1){if(wo>co){let Co=go[So];po(Co.children,Co.positions,0,Co.children.length,vo[So]+_o);continue}fo.push(go[So])}else{let Co=vo[Eo-1]+go[Eo-1].length-To;fo.push(balanceRange(eo,go,vo,So,Eo,To,Co,null,lo))}ho.push(To+_o-io)}}return po(to,ro,no,oo,0),(ao||lo)(fo,ho,so)}class NodeWeakMap{constructor(){this.map=new WeakMap}setBuffer(to,ro,no){let oo=this.map.get(to);oo||this.map.set(to,oo=new Map),oo.set(ro,no)}getBuffer(to,ro){let no=this.map.get(to);return no&&no.get(ro)}set(to,ro){to instanceof BufferNode?this.setBuffer(to.context.buffer,to.index,ro):to instanceof TreeNode&&this.map.set(to.tree,ro)}get(to){return to instanceof BufferNode?this.getBuffer(to.context.buffer,to.index):to instanceof TreeNode?this.map.get(to.tree):void 0}cursorSet(to,ro){to.buffer?this.setBuffer(to.buffer.buffer,to.index,ro):this.map.set(to.tree,ro)}cursorGet(to){return to.buffer?this.getBuffer(to.buffer.buffer,to.index):this.map.get(to.tree)}}class TreeFragment{constructor(to,ro,no,oo,io=!1,so=!1){this.from=to,this.to=ro,this.tree=no,this.offset=oo,this.open=(io?1:0)|(so?2:0)}get openStart(){return(this.open&1)>0}get openEnd(){return(this.open&2)>0}static addTree(to,ro=[],no=!1){let oo=[new TreeFragment(0,to.length,to,0,!1,no)];for(let io of ro)io.to>to.length&&oo.push(io);return oo}static applyChanges(to,ro,no=128){if(!ro.length)return to;let oo=[],io=1,so=to.length?to[0]:null;for(let ao=0,lo=0,uo=0;;ao++){let co=ao<ro.length?ro[ao]:null,fo=co?co.fromA:1e9;if(fo-lo>=no)for(;so&&so.from<fo;){let ho=so;if(lo>=ho.from||fo<=ho.to||uo){let po=Math.max(ho.from,lo)-uo,go=Math.min(ho.to,fo)-uo;ho=po>=go?null:new TreeFragment(po,go,ho.tree,ho.offset+uo,ao>0,!!co)}if(ho&&oo.push(ho),so.to>fo)break;so=io<to.length?to[io++]:null}if(!co)break;lo=co.toA,uo=co.toA-co.toB}return oo}}class Parser{startParse(to,ro,no){return typeof to=="string"&&(to=new StringInput(to)),no=no?no.length?no.map(oo=>new Range$1(oo.from,oo.to)):[new Range$1(0,0)]:[new Range$1(0,to.length)],this.createParse(to,ro||[],no)}parse(to,ro,no){let oo=this.startParse(to,ro,no);for(;;){let io=oo.advance();if(io)return io}}}class StringInput{constructor(to){this.string=to}get length(){return this.string.length}chunk(to){return this.string.slice(to)}get lineChunks(){return!1}read(to,ro){return this.string.slice(to,ro)}}new NodeProp({perNode:!0});let nextTagID=0;class Tag{constructor(to,ro,no){this.set=to,this.base=ro,this.modified=no,this.id=nextTagID++}static define(to){if(to!=null&&to.base)throw new Error("Can not derive from a modified tag");let ro=new Tag([],null,[]);if(ro.set.push(ro),to)for(let no of to.set)ro.set.push(no);return ro}static defineModifier(){let to=new Modifier;return ro=>ro.modified.indexOf(to)>-1?ro:Modifier.get(ro.base||ro,ro.modified.concat(to).sort((no,oo)=>no.id-oo.id))}}let nextModifierID=0;class Modifier{constructor(){this.instances=[],this.id=nextModifierID++}static get(to,ro){if(!ro.length)return to;let no=ro[0].instances.find(ao=>ao.base==to&&sameArray(ro,ao.modified));if(no)return no;let oo=[],io=new Tag(oo,to,ro);for(let ao of ro)ao.instances.push(io);let so=powerSet(ro);for(let ao of to.set)if(!ao.modified.length)for(let lo of so)oo.push(Modifier.get(ao,lo));return io}}function sameArray(eo,to){return eo.length==to.length&&eo.every((ro,no)=>ro==to[no])}function powerSet(eo){let to=[[]];for(let ro=0;ro<eo.length;ro++)for(let no=0,oo=to.length;no<oo;no++)to.push(to[no].concat(eo[ro]));return to.sort((ro,no)=>no.length-ro.length)}function styleTags(eo){let to=Object.create(null);for(let ro in eo){let no=eo[ro];Array.isArray(no)||(no=[no]);for(let oo of ro.split(" "))if(oo){let io=[],so=2,ao=oo;for(let fo=0;;){if(ao=="..."&&fo>0&&fo+3==oo.length){so=1;break}let ho=/^"(?:[^"\\]|\\.)*?"|[^\/!]+/.exec(ao);if(!ho)throw new RangeError("Invalid path: "+oo);if(io.push(ho[0]=="*"?"":ho[0][0]=='"'?JSON.parse(ho[0]):ho[0]),fo+=ho[0].length,fo==oo.length)break;let po=oo[fo++];if(fo==oo.length&&po=="!"){so=0;break}if(po!="/")throw new RangeError("Invalid path: "+oo);ao=oo.slice(fo)}let lo=io.length-1,uo=io[lo];if(!uo)throw new RangeError("Invalid path: "+oo);let co=new Rule(no,so,lo>0?io.slice(0,lo):null);to[uo]=co.sort(to[uo])}}return ruleNodeProp.add(to)}const ruleNodeProp=new NodeProp;class Rule{constructor(to,ro,no,oo){this.tags=to,this.mode=ro,this.context=no,this.next=oo}get opaque(){return this.mode==0}get inherit(){return this.mode==1}sort(to){return!to||to.depth<this.depth?(this.next=to,this):(to.next=this.sort(to.next),to)}get depth(){return this.context?this.context.length:0}}Rule.empty=new Rule([],2,null);function tagHighlighter(eo,to){let ro=Object.create(null);for(let io of eo)if(!Array.isArray(io.tag))ro[io.tag.id]=io.class;else for(let so of io.tag)ro[so.id]=io.class;let{scope:no,all:oo=null}=to||{};return{style:io=>{let so=oo;for(let ao of io)for(let lo of ao.set){let uo=ro[lo.id];if(uo){so=so?so+" "+uo:uo;break}}return so},scope:no}}function highlightTags(eo,to){let ro=null;for(let no of eo){let oo=no.style(to);oo&&(ro=ro?ro+" "+oo:oo)}return ro}function highlightTree(eo,to,ro,no=0,oo=eo.length){let io=new HighlightBuilder(no,Array.isArray(to)?to:[to],ro);io.highlightRange(eo.cursor(),no,oo,"",io.highlighters),io.flush(oo)}class HighlightBuilder{constructor(to,ro,no){this.at=to,this.highlighters=ro,this.span=no,this.class=""}startSpan(to,ro){ro!=this.class&&(this.flush(to),to>this.at&&(this.at=to),this.class=ro)}flush(to){to>this.at&&this.class&&this.span(this.at,to,this.class)}highlightRange(to,ro,no,oo,io){let{type:so,from:ao,to:lo}=to;if(ao>=no||lo<=ro)return;so.isTop&&(io=this.highlighters.filter(po=>!po.scope||po.scope(so)));let uo=oo,co=getStyleTags(to)||Rule.empty,fo=highlightTags(io,co.tags);if(fo&&(uo&&(uo+=" "),uo+=fo,co.mode==1&&(oo+=(oo?" ":"")+fo)),this.startSpan(Math.max(ro,ao),uo),co.opaque)return;let ho=to.tree&&to.tree.prop(NodeProp.mounted);if(ho&&ho.overlay){let po=to.node.enter(ho.overlay[0].from+ao,1),go=this.highlighters.filter(bo=>!bo.scope||bo.scope(ho.tree.type)),vo=to.firstChild();for(let bo=0,xo=ao;;bo++){let _o=bo<ho.overlay.length?ho.overlay[bo]:null,Eo=_o?_o.from+ao:lo,So=Math.max(ro,xo),To=Math.min(no,Eo);if(So<To&&vo)for(;to.from<To&&(this.highlightRange(to,So,To,oo,io),this.startSpan(Math.min(To,to.to),uo),!(to.to>=Eo||!to.nextSibling())););if(!_o||Eo>no)break;xo=_o.to+ao,xo>ro&&(this.highlightRange(po.cursor(),Math.max(ro,_o.from+ao),Math.min(no,xo),"",go),this.startSpan(Math.min(no,xo),uo))}vo&&to.parent()}else if(to.firstChild()){ho&&(oo="");do if(!(to.to<=ro)){if(to.from>=no)break;this.highlightRange(to,ro,no,oo,io),this.startSpan(Math.min(no,to.to),uo)}while(to.nextSibling());to.parent()}}}function getStyleTags(eo){let to=eo.type.prop(ruleNodeProp);for(;to&&to.context&&!eo.matchContext(to.context);)to=to.next;return to||null}const t=Tag.define,comment=t(),name=t(),typeName=t(name),propertyName=t(name),literal=t(),string=t(literal),number=t(literal),content=t(),heading=t(content),keyword=t(),operator=t(),punctuation=t(),bracket=t(punctuation),meta=t(),tags={comment,lineComment:t(comment),blockComment:t(comment),docComment:t(comment),name,variableName:t(name),typeName,tagName:t(typeName),propertyName,attributeName:t(propertyName),className:t(name),labelName:t(name),namespace:t(name),macroName:t(name),literal,string,docString:t(string),character:t(string),attributeValue:t(string),number,integer:t(number),float:t(number),bool:t(literal),regexp:t(literal),escape:t(literal),color:t(literal),url:t(literal),keyword,self:t(keyword),null:t(keyword),atom:t(keyword),unit:t(keyword),modifier:t(keyword),operatorKeyword:t(keyword),controlKeyword:t(keyword),definitionKeyword:t(keyword),moduleKeyword:t(keyword),operator,derefOperator:t(operator),arithmeticOperator:t(operator),logicOperator:t(operator),bitwiseOperator:t(operator),compareOperator:t(operator),updateOperator:t(operator),definitionOperator:t(operator),typeOperator:t(operator),controlOperator:t(operator),punctuation,separator:t(punctuation),bracket,angleBracket:t(bracket),squareBracket:t(bracket),paren:t(bracket),brace:t(bracket),content,heading,heading1:t(heading),heading2:t(heading),heading3:t(heading),heading4:t(heading),heading5:t(heading),heading6:t(heading),contentSeparator:t(content),list:t(content),quote:t(content),emphasis:t(content),strong:t(content),link:t(content),monospace:t(content),strikethrough:t(content),inserted:t(),deleted:t(),changed:t(),invalid:t(),meta,documentMeta:t(meta),annotation:t(meta),processingInstruction:t(meta),definition:Tag.defineModifier(),constant:Tag.defineModifier(),function:Tag.defineModifier(),standard:Tag.defineModifier(),local:Tag.defineModifier(),special:Tag.defineModifier()};tagHighlighter([{tag:tags.link,class:"tok-link"},{tag:tags.heading,class:"tok-heading"},{tag:tags.emphasis,class:"tok-emphasis"},{tag:tags.strong,class:"tok-strong"},{tag:tags.keyword,class:"tok-keyword"},{tag:tags.atom,class:"tok-atom"},{tag:tags.bool,class:"tok-bool"},{tag:tags.url,class:"tok-url"},{tag:tags.labelName,class:"tok-labelName"},{tag:tags.inserted,class:"tok-inserted"},{tag:tags.deleted,class:"tok-deleted"},{tag:tags.literal,class:"tok-literal"},{tag:tags.string,class:"tok-string"},{tag:tags.number,class:"tok-number"},{tag:[tags.regexp,tags.escape,tags.special(tags.string)],class:"tok-string2"},{tag:tags.variableName,class:"tok-variableName"},{tag:tags.local(tags.variableName),class:"tok-variableName tok-local"},{tag:tags.definition(tags.variableName),class:"tok-variableName tok-definition"},{tag:tags.special(tags.variableName),class:"tok-variableName2"},{tag:tags.definition(tags.propertyName),class:"tok-propertyName tok-definition"},{tag:tags.typeName,class:"tok-typeName"},{tag:tags.namespace,class:"tok-namespace"},{tag:tags.className,class:"tok-className"},{tag:tags.macroName,class:"tok-macroName"},{tag:tags.propertyName,class:"tok-propertyName"},{tag:tags.operator,class:"tok-operator"},{tag:tags.comment,class:"tok-comment"},{tag:tags.meta,class:"tok-meta"},{tag:tags.invalid,class:"tok-invalid"},{tag:tags.punctuation,class:"tok-punctuation"}]);var _a;const languageDataProp=new NodeProp;function defineLanguageFacet(eo){return Facet.define({combine:eo?to=>to.concat(eo):void 0})}const sublanguageProp=new NodeProp;class Language{constructor(to,ro,no=[],oo=""){this.data=to,this.name=oo,EditorState.prototype.hasOwnProperty("tree")||Object.defineProperty(EditorState.prototype,"tree",{get(){return syntaxTree(this)}}),this.parser=ro,this.extension=[language.of(this),EditorState.languageData.of((io,so,ao)=>{let lo=topNodeAt(io,so,ao),uo=lo.type.prop(languageDataProp);if(!uo)return[];let co=io.facet(uo),fo=lo.type.prop(sublanguageProp);if(fo){let ho=lo.resolve(so-lo.from,ao);for(let po of fo)if(po.test(ho,io)){let go=io.facet(po.facet);return po.type=="replace"?go:go.concat(co)}}return co})].concat(no)}isActiveAt(to,ro,no=-1){return topNodeAt(to,ro,no).type.prop(languageDataProp)==this.data}findRegions(to){let ro=to.facet(language);if((ro==null?void 0:ro.data)==this.data)return[{from:0,to:to.doc.length}];if(!ro||!ro.allowsNesting)return[];let no=[],oo=(io,so)=>{if(io.prop(languageDataProp)==this.data){no.push({from:so,to:so+io.length});return}let ao=io.prop(NodeProp.mounted);if(ao){if(ao.tree.prop(languageDataProp)==this.data){if(ao.overlay)for(let lo of ao.overlay)no.push({from:lo.from+so,to:lo.to+so});else no.push({from:so,to:so+io.length});return}else if(ao.overlay){let lo=no.length;if(oo(ao.tree,ao.overlay[0].from+so),no.length>lo)return}}for(let lo=0;lo<io.children.length;lo++){let uo=io.children[lo];uo instanceof Tree&&oo(uo,io.positions[lo]+so)}};return oo(syntaxTree(to),0),no}get allowsNesting(){return!0}}Language.setState=StateEffect.define();function topNodeAt(eo,to,ro){let no=eo.facet(language),oo=syntaxTree(eo).topNode;if(!no||no.allowsNesting)for(let io=oo;io;io=io.enter(to,ro,IterMode.ExcludeBuffers))io.type.isTop&&(oo=io);return oo}class LRLanguage extends Language{constructor(to,ro,no){super(to,ro,[],no),this.parser=ro}static define(to){let ro=defineLanguageFacet(to.languageData);return new LRLanguage(ro,to.parser.configure({props:[languageDataProp.add(no=>no.isTop?ro:void 0)]}),to.name)}configure(to,ro){return new LRLanguage(this.data,this.parser.configure(to),ro||this.name)}get allowsNesting(){return this.parser.hasWrappers()}}function syntaxTree(eo){let to=eo.field(Language.state,!1);return to?to.tree:Tree.empty}class DocInput{constructor(to){this.doc=to,this.cursorPos=0,this.string="",this.cursor=to.iter()}get length(){return this.doc.length}syncTo(to){return this.string=this.cursor.next(to-this.cursorPos).value,this.cursorPos=to+this.string.length,this.cursorPos-this.string.length}chunk(to){return this.syncTo(to),this.string}get lineChunks(){return!0}read(to,ro){let no=this.cursorPos-this.string.length;return to<no||ro>=this.cursorPos?this.doc.sliceString(to,ro):this.string.slice(to-no,ro-no)}}let currentContext=null;class ParseContext{constructor(to,ro,no=[],oo,io,so,ao,lo){this.parser=to,this.state=ro,this.fragments=no,this.tree=oo,this.treeLen=io,this.viewport=so,this.skipped=ao,this.scheduleOn=lo,this.parse=null,this.tempSkipped=[]}static create(to,ro,no){return new ParseContext(to,ro,[],Tree.empty,0,no,[],null)}startParse(){return this.parser.startParse(new DocInput(this.state.doc),this.fragments)}work(to,ro){return ro!=null&&ro>=this.state.doc.length&&(ro=void 0),this.tree!=Tree.empty&&this.isDone(ro??this.state.doc.length)?(this.takeTree(),!0):this.withContext(()=>{var no;if(typeof to=="number"){let oo=Date.now()+to;to=()=>Date.now()>oo}for(this.parse||(this.parse=this.startParse()),ro!=null&&(this.parse.stoppedAt==null||this.parse.stoppedAt>ro)&&ro<this.state.doc.length&&this.parse.stopAt(ro);;){let oo=this.parse.advance();if(oo)if(this.fragments=this.withoutTempSkipped(TreeFragment.addTree(oo,this.fragments,this.parse.stoppedAt!=null)),this.treeLen=(no=this.parse.stoppedAt)!==null&&no!==void 0?no:this.state.doc.length,this.tree=oo,this.parse=null,this.treeLen<(ro??this.state.doc.length))this.parse=this.startParse();else return!0;if(to())return!1}})}takeTree(){let to,ro;this.parse&&(to=this.parse.parsedPos)>=this.treeLen&&((this.parse.stoppedAt==null||this.parse.stoppedAt>to)&&this.parse.stopAt(to),this.withContext(()=>{for(;!(ro=this.parse.advance()););}),this.treeLen=to,this.tree=ro,this.fragments=this.withoutTempSkipped(TreeFragment.addTree(this.tree,this.fragments,!0)),this.parse=null)}withContext(to){let ro=currentContext;currentContext=this;try{return to()}finally{currentContext=ro}}withoutTempSkipped(to){for(let ro;ro=this.tempSkipped.pop();)to=cutFragments(to,ro.from,ro.to);return to}changes(to,ro){let{fragments:no,tree:oo,treeLen:io,viewport:so,skipped:ao}=this;if(this.takeTree(),!to.empty){let lo=[];if(to.iterChangedRanges((uo,co,fo,ho)=>lo.push({fromA:uo,toA:co,fromB:fo,toB:ho})),no=TreeFragment.applyChanges(no,lo),oo=Tree.empty,io=0,so={from:to.mapPos(so.from,-1),to:to.mapPos(so.to,1)},this.skipped.length){ao=[];for(let uo of this.skipped){let co=to.mapPos(uo.from,1),fo=to.mapPos(uo.to,-1);co<fo&&ao.push({from:co,to:fo})}}}return new ParseContext(this.parser,ro,no,oo,io,so,ao,this.scheduleOn)}updateViewport(to){if(this.viewport.from==to.from&&this.viewport.to==to.to)return!1;this.viewport=to;let ro=this.skipped.length;for(let no=0;no<this.skipped.length;no++){let{from:oo,to:io}=this.skipped[no];oo<to.to&&io>to.from&&(this.fragments=cutFragments(this.fragments,oo,io),this.skipped.splice(no--,1))}return this.skipped.length>=ro?!1:(this.reset(),!0)}reset(){this.parse&&(this.takeTree(),this.parse=null)}skipUntilInView(to,ro){this.skipped.push({from:to,to:ro})}static getSkippingParser(to){return new class extends Parser{createParse(ro,no,oo){let io=oo[0].from,so=oo[oo.length-1].to;return{parsedPos:io,advance(){let lo=currentContext;if(lo){for(let uo of oo)lo.tempSkipped.push(uo);to&&(lo.scheduleOn=lo.scheduleOn?Promise.all([lo.scheduleOn,to]):to)}return this.parsedPos=so,new Tree(NodeType.none,[],[],so-io)},stoppedAt:null,stopAt(){}}}}}isDone(to){to=Math.min(to,this.state.doc.length);let ro=this.fragments;return this.treeLen>=to&&ro.length&&ro[0].from==0&&ro[0].to>=to}static get(){return currentContext}}function cutFragments(eo,to,ro){return TreeFragment.applyChanges(eo,[{fromA:to,toA:ro,fromB:to,toB:ro}])}class LanguageState{constructor(to){this.context=to,this.tree=to.tree}apply(to){if(!to.docChanged&&this.tree==this.context.tree)return this;let ro=this.context.changes(to.changes,to.state),no=this.context.treeLen==to.startState.doc.length?void 0:Math.max(to.changes.mapPos(this.context.treeLen),ro.viewport.to);return ro.work(20,no)||ro.takeTree(),new LanguageState(ro)}static init(to){let ro=Math.min(3e3,to.doc.length),no=ParseContext.create(to.facet(language).parser,to,{from:0,to:ro});return no.work(20,ro)||no.takeTree(),new LanguageState(no)}}Language.state=StateField.define({create:LanguageState.init,update(eo,to){for(let ro of to.effects)if(ro.is(Language.setState))return ro.value;return to.startState.facet(language)!=to.state.facet(language)?LanguageState.init(to.state):eo.apply(to)}});let requestIdle=eo=>{let to=setTimeout(()=>eo(),500);return()=>clearTimeout(to)};typeof requestIdleCallback<"u"&&(requestIdle=eo=>{let to=-1,ro=setTimeout(()=>{to=requestIdleCallback(eo,{timeout:400})},100);return()=>to<0?clearTimeout(ro):cancelIdleCallback(to)});const isInputPending=typeof navigator<"u"&&(!((_a=navigator.scheduling)===null||_a===void 0)&&_a.isInputPending)?()=>navigator.scheduling.isInputPending():null,parseWorker=ViewPlugin.fromClass(class{constructor(to){this.view=to,this.working=null,this.workScheduled=0,this.chunkEnd=-1,this.chunkBudget=-1,this.work=this.work.bind(this),this.scheduleWork()}update(to){let ro=this.view.state.field(Language.state).context;(ro.updateViewport(to.view.viewport)||this.view.viewport.to>ro.treeLen)&&this.scheduleWork(),(to.docChanged||to.selectionSet)&&(this.view.hasFocus&&(this.chunkBudget+=50),this.scheduleWork()),this.checkAsyncSchedule(ro)}scheduleWork(){if(this.working)return;let{state:to}=this.view,ro=to.field(Language.state);(ro.tree!=ro.context.tree||!ro.context.isDone(to.doc.length))&&(this.working=requestIdle(this.work))}work(to){this.working=null;let ro=Date.now();if(this.chunkEnd<ro&&(this.chunkEnd<0||this.view.hasFocus)&&(this.chunkEnd=ro+3e4,this.chunkBudget=3e3),this.chunkBudget<=0)return;let{state:no,viewport:{to:oo}}=this.view,io=no.field(Language.state);if(io.tree==io.context.tree&&io.context.isDone(oo+1e5))return;let so=Date.now()+Math.min(this.chunkBudget,100,to&&!isInputPending?Math.max(25,to.timeRemaining()-5):1e9),ao=io.context.treeLen<oo&&no.doc.length>oo+1e3,lo=io.context.work(()=>isInputPending&&isInputPending()||Date.now()>so,oo+(ao?0:1e5));this.chunkBudget-=Date.now()-ro,(lo||this.chunkBudget<=0)&&(io.context.takeTree(),this.view.dispatch({effects:Language.setState.of(new LanguageState(io.context))})),this.chunkBudget>0&&!(lo&&!ao)&&this.scheduleWork(),this.checkAsyncSchedule(io.context)}checkAsyncSchedule(to){to.scheduleOn&&(this.workScheduled++,to.scheduleOn.then(()=>this.scheduleWork()).catch(ro=>logException(this.view.state,ro)).then(()=>this.workScheduled--),to.scheduleOn=null)}destroy(){this.working&&this.working()}isWorking(){return!!(this.working||this.workScheduled>0)}},{eventHandlers:{focus(){this.scheduleWork()}}}),language=Facet.define({combine(eo){return eo.length?eo[0]:null},enables:eo=>[Language.state,parseWorker,EditorView.contentAttributes.compute([eo],to=>{let ro=to.facet(eo);return ro&&ro.name?{"data-language":ro.name}:{}})]});class LanguageSupport{constructor(to,ro=[]){this.language=to,this.support=ro,this.extension=[to,ro]}}const indentService=Facet.define(),indentUnit=Facet.define({combine:eo=>{if(!eo.length)return"  ";let to=eo[0];if(!to||/\S/.test(to)||Array.from(to).some(ro=>ro!=to[0]))throw new Error("Invalid indent unit: "+JSON.stringify(eo[0]));return to}});function getIndentUnit(eo){let to=eo.facet(indentUnit);return to.charCodeAt(0)==9?eo.tabSize*to.length:to.length}function indentString(eo,to){let ro="",no=eo.tabSize,oo=eo.facet(indentUnit)[0];if(oo=="	"){for(;to>=no;)ro+="	",to-=no;oo=" "}for(let io=0;io<to;io++)ro+=oo;return ro}function getIndentation(eo,to){eo instanceof EditorState&&(eo=new IndentContext(eo));for(let no of eo.state.facet(indentService)){let oo=no(eo,to);if(oo!==void 0)return oo}let ro=syntaxTree(eo.state);return ro.length>=to?syntaxIndentation(eo,ro,to):null}class IndentContext{constructor(to,ro={}){this.state=to,this.options=ro,this.unit=getIndentUnit(to)}lineAt(to,ro=1){let no=this.state.doc.lineAt(to),{simulateBreak:oo,simulateDoubleBreak:io}=this.options;return oo!=null&&oo>=no.from&&oo<=no.to?io&&oo==to?{text:"",from:to}:(ro<0?oo<to:oo<=to)?{text:no.text.slice(oo-no.from),from:oo}:{text:no.text.slice(0,oo-no.from),from:no.from}:no}textAfterPos(to,ro=1){if(this.options.simulateDoubleBreak&&to==this.options.simulateBreak)return"";let{text:no,from:oo}=this.lineAt(to,ro);return no.slice(to-oo,Math.min(no.length,to+100-oo))}column(to,ro=1){let{text:no,from:oo}=this.lineAt(to,ro),io=this.countColumn(no,to-oo),so=this.options.overrideIndentation?this.options.overrideIndentation(oo):-1;return so>-1&&(io+=so-this.countColumn(no,no.search(/\S|$/))),io}countColumn(to,ro=to.length){return countColumn(to,this.state.tabSize,ro)}lineIndent(to,ro=1){let{text:no,from:oo}=this.lineAt(to,ro),io=this.options.overrideIndentation;if(io){let so=io(oo);if(so>-1)return so}return this.countColumn(no,no.search(/\S|$/))}get simulatedBreak(){return this.options.simulateBreak||null}}const indentNodeProp=new NodeProp;function syntaxIndentation(eo,to,ro){let no=to.resolveStack(ro),oo=no.node.enterUnfinishedNodesBefore(ro);if(oo!=no.node){let io=[];for(let so=oo;so!=no.node;so=so.parent)io.push(so);for(let so=io.length-1;so>=0;so--)no={node:io[so],next:no}}return indentFor(no,eo,ro)}function indentFor(eo,to,ro){for(let no=eo;no;no=no.next){let oo=indentStrategy(no.node);if(oo)return oo(TreeIndentContext.create(to,ro,no))}return 0}function ignoreClosed(eo){return eo.pos==eo.options.simulateBreak&&eo.options.simulateDoubleBreak}function indentStrategy(eo){let to=eo.type.prop(indentNodeProp);if(to)return to;let ro=eo.firstChild,no;if(ro&&(no=ro.type.prop(NodeProp.closedBy))){let oo=eo.lastChild,io=oo&&no.indexOf(oo.name)>-1;return so=>delimitedStrategy(so,!0,1,void 0,io&&!ignoreClosed(so)?oo.from:void 0)}return eo.parent==null?topIndent$1:null}function topIndent$1(){return 0}class TreeIndentContext extends IndentContext{constructor(to,ro,no){super(to.state,to.options),this.base=to,this.pos=ro,this.context=no}get node(){return this.context.node}static create(to,ro,no){return new TreeIndentContext(to,ro,no)}get textAfter(){return this.textAfterPos(this.pos)}get baseIndent(){return this.baseIndentFor(this.node)}baseIndentFor(to){let ro=this.state.doc.lineAt(to.from);for(;;){let no=to.resolve(ro.from);for(;no.parent&&no.parent.from==no.from;)no=no.parent;if(isParent(no,to))break;ro=this.state.doc.lineAt(no.from)}return this.lineIndent(ro.from)}continue(){return indentFor(this.context.next,this.base,this.pos)}}function isParent(eo,to){for(let ro=to;ro;ro=ro.parent)if(eo==ro)return!0;return!1}function bracketedAligned(eo){let to=eo.node,ro=to.childAfter(to.from),no=to.lastChild;if(!ro)return null;let oo=eo.options.simulateBreak,io=eo.state.doc.lineAt(ro.from),so=oo==null||oo<=io.from?io.to:Math.min(io.to,oo);for(let ao=ro.to;;){let lo=to.childAfter(ao);if(!lo||lo==no)return null;if(!lo.type.isSkipped)return lo.from<so?ro:null;ao=lo.to}}function delimitedIndent({closing:eo,align:to=!0,units:ro=1}){return no=>delimitedStrategy(no,to,ro,eo)}function delimitedStrategy(eo,to,ro,no,oo){let io=eo.textAfter,so=io.match(/^\s*/)[0].length,ao=no&&io.slice(so,so+no.length)==no||oo==eo.pos+so,lo=to?bracketedAligned(eo):null;return lo?ao?eo.column(lo.from):eo.column(lo.to):eo.baseIndent+(ao?0:eo.unit*ro)}const DontIndentBeyond=200;function indentOnInput(){return EditorState.transactionFilter.of(eo=>{if(!eo.docChanged||!eo.isUserEvent("input.type")&&!eo.isUserEvent("input.complete"))return eo;let to=eo.startState.languageDataAt("indentOnInput",eo.startState.selection.main.head);if(!to.length)return eo;let ro=eo.newDoc,{head:no}=eo.newSelection.main,oo=ro.lineAt(no);if(no>oo.from+DontIndentBeyond)return eo;let io=ro.sliceString(oo.from,no);if(!to.some(uo=>uo.test(io)))return eo;let{state:so}=eo,ao=-1,lo=[];for(let{head:uo}of so.selection.ranges){let co=so.doc.lineAt(uo);if(co.from==ao)continue;ao=co.from;let fo=getIndentation(so,co.from);if(fo==null)continue;let ho=/^\s*/.exec(co.text)[0],po=indentString(so,fo);ho!=po&&lo.push({from:co.from,to:co.from+ho.length,insert:po})}return lo.length?[eo,{changes:lo,sequential:!0}]:eo})}const foldService=Facet.define(),foldNodeProp=new NodeProp;function foldInside(eo){let to=eo.firstChild,ro=eo.lastChild;return to&&to.to<ro.from?{from:to.to,to:ro.type.isError?eo.to:ro.from}:null}function syntaxFolding(eo,to,ro){let no=syntaxTree(eo);if(no.length<ro)return null;let oo=no.resolveStack(ro,1),io=null;for(let so=oo;so;so=so.next){let ao=so.node;if(ao.to<=ro||ao.from>ro)continue;if(io&&ao.from<to)break;let lo=ao.type.prop(foldNodeProp);if(lo&&(ao.to<no.length-50||no.length==eo.doc.length||!isUnfinished(ao))){let uo=lo(ao,eo);uo&&uo.from<=ro&&uo.from>=to&&uo.to>ro&&(io=uo)}}return io}function isUnfinished(eo){let to=eo.lastChild;return to&&to.to==eo.to&&to.type.isError}function foldable(eo,to,ro){for(let no of eo.facet(foldService)){let oo=no(eo,to,ro);if(oo)return oo}return syntaxFolding(eo,to,ro)}function mapRange(eo,to){let ro=to.mapPos(eo.from,1),no=to.mapPos(eo.to,-1);return ro>=no?void 0:{from:ro,to:no}}const foldEffect=StateEffect.define({map:mapRange}),unfoldEffect=StateEffect.define({map:mapRange});function selectedLines(eo){let to=[];for(let{head:ro}of eo.state.selection.ranges)to.some(no=>no.from<=ro&&no.to>=ro)||to.push(eo.lineBlockAt(ro));return to}const foldState=StateField.define({create(){return Decoration.none},update(eo,to){eo=eo.map(to.changes);for(let ro of to.effects)if(ro.is(foldEffect)&&!foldExists(eo,ro.value.from,ro.value.to)){let{preparePlaceholder:no}=to.state.facet(foldConfig),oo=no?Decoration.replace({widget:new PreparedFoldWidget(no(to.state,ro.value))}):foldWidget;eo=eo.update({add:[oo.range(ro.value.from,ro.value.to)]})}else ro.is(unfoldEffect)&&(eo=eo.update({filter:(no,oo)=>ro.value.from!=no||ro.value.to!=oo,filterFrom:ro.value.from,filterTo:ro.value.to}));if(to.selection){let ro=!1,{head:no}=to.selection.main;eo.between(no,no,(oo,io)=>{oo<no&&io>no&&(ro=!0)}),ro&&(eo=eo.update({filterFrom:no,filterTo:no,filter:(oo,io)=>io<=no||oo>=no}))}return eo},provide:eo=>EditorView.decorations.from(eo),toJSON(eo,to){let ro=[];return eo.between(0,to.doc.length,(no,oo)=>{ro.push(no,oo)}),ro},fromJSON(eo){if(!Array.isArray(eo)||eo.length%2)throw new RangeError("Invalid JSON for fold state");let to=[];for(let ro=0;ro<eo.length;){let no=eo[ro++],oo=eo[ro++];if(typeof no!="number"||typeof oo!="number")throw new RangeError("Invalid JSON for fold state");to.push(foldWidget.range(no,oo))}return Decoration.set(to,!0)}});function findFold(eo,to,ro){var no;let oo=null;return(no=eo.field(foldState,!1))===null||no===void 0||no.between(to,ro,(io,so)=>{(!oo||oo.from>io)&&(oo={from:io,to:so})}),oo}function foldExists(eo,to,ro){let no=!1;return eo.between(to,to,(oo,io)=>{oo==to&&io==ro&&(no=!0)}),no}function maybeEnable(eo,to){return eo.field(foldState,!1)?to:to.concat(StateEffect.appendConfig.of(codeFolding()))}const foldCode=eo=>{for(let to of selectedLines(eo)){let ro=foldable(eo.state,to.from,to.to);if(ro)return eo.dispatch({effects:maybeEnable(eo.state,[foldEffect.of(ro),announceFold(eo,ro)])}),!0}return!1},unfoldCode=eo=>{if(!eo.state.field(foldState,!1))return!1;let to=[];for(let ro of selectedLines(eo)){let no=findFold(eo.state,ro.from,ro.to);no&&to.push(unfoldEffect.of(no),announceFold(eo,no,!1))}return to.length&&eo.dispatch({effects:to}),to.length>0};function announceFold(eo,to,ro=!0){let no=eo.state.doc.lineAt(to.from).number,oo=eo.state.doc.lineAt(to.to).number;return EditorView.announce.of(`${eo.state.phrase(ro?"Folded lines":"Unfolded lines")} ${no} ${eo.state.phrase("to")} ${oo}.`)}const foldAll=eo=>{let{state:to}=eo,ro=[];for(let no=0;no<to.doc.length;){let oo=eo.lineBlockAt(no),io=foldable(to,oo.from,oo.to);io&&ro.push(foldEffect.of(io)),no=(io?eo.lineBlockAt(io.to):oo).to+1}return ro.length&&eo.dispatch({effects:maybeEnable(eo.state,ro)}),!!ro.length},unfoldAll=eo=>{let to=eo.state.field(foldState,!1);if(!to||!to.size)return!1;let ro=[];return to.between(0,eo.state.doc.length,(no,oo)=>{ro.push(unfoldEffect.of({from:no,to:oo}))}),eo.dispatch({effects:ro}),!0},foldKeymap=[{key:"Ctrl-Shift-[",mac:"Cmd-Alt-[",run:foldCode},{key:"Ctrl-Shift-]",mac:"Cmd-Alt-]",run:unfoldCode},{key:"Ctrl-Alt-[",run:foldAll},{key:"Ctrl-Alt-]",run:unfoldAll}],defaultConfig={placeholderDOM:null,preparePlaceholder:null,placeholderText:"…"},foldConfig=Facet.define({combine(eo){return combineConfig(eo,defaultConfig)}});function codeFolding(eo){let to=[foldState,baseTheme$1$1];return eo&&to.push(foldConfig.of(eo)),to}function widgetToDOM(eo,to){let{state:ro}=eo,no=ro.facet(foldConfig),oo=so=>{let ao=eo.lineBlockAt(eo.posAtDOM(so.target)),lo=findFold(eo.state,ao.from,ao.to);lo&&eo.dispatch({effects:unfoldEffect.of(lo)}),so.preventDefault()};if(no.placeholderDOM)return no.placeholderDOM(eo,oo,to);let io=document.createElement("span");return io.textContent=no.placeholderText,io.setAttribute("aria-label",ro.phrase("folded code")),io.title=ro.phrase("unfold"),io.className="cm-foldPlaceholder",io.onclick=oo,io}const foldWidget=Decoration.replace({widget:new class extends WidgetType{toDOM(eo){return widgetToDOM(eo,null)}}});class PreparedFoldWidget extends WidgetType{constructor(to){super(),this.value=to}eq(to){return this.value==to.value}toDOM(to){return widgetToDOM(to,this.value)}}const foldGutterDefaults={openText:"⌄",closedText:"›",markerDOM:null,domEventHandlers:{},foldingChanged:()=>!1};class FoldMarker extends GutterMarker{constructor(to,ro){super(),this.config=to,this.open=ro}eq(to){return this.config==to.config&&this.open==to.open}toDOM(to){if(this.config.markerDOM)return this.config.markerDOM(this.open);let ro=document.createElement("span");return ro.textContent=this.open?this.config.openText:this.config.closedText,ro.title=to.state.phrase(this.open?"Fold line":"Unfold line"),ro}}function foldGutter(eo={}){let to=Object.assign(Object.assign({},foldGutterDefaults),eo),ro=new FoldMarker(to,!0),no=new FoldMarker(to,!1),oo=ViewPlugin.fromClass(class{constructor(so){this.from=so.viewport.from,this.markers=this.buildMarkers(so)}update(so){(so.docChanged||so.viewportChanged||so.startState.facet(language)!=so.state.facet(language)||so.startState.field(foldState,!1)!=so.state.field(foldState,!1)||syntaxTree(so.startState)!=syntaxTree(so.state)||to.foldingChanged(so))&&(this.markers=this.buildMarkers(so.view))}buildMarkers(so){let ao=new RangeSetBuilder;for(let lo of so.viewportLineBlocks){let uo=findFold(so.state,lo.from,lo.to)?no:foldable(so.state,lo.from,lo.to)?ro:null;uo&&ao.add(lo.from,lo.from,uo)}return ao.finish()}}),{domEventHandlers:io}=to;return[oo,gutter({class:"cm-foldGutter",markers(so){var ao;return((ao=so.plugin(oo))===null||ao===void 0?void 0:ao.markers)||RangeSet.empty},initialSpacer(){return new FoldMarker(to,!1)},domEventHandlers:Object.assign(Object.assign({},io),{click:(so,ao,lo)=>{if(io.click&&io.click(so,ao,lo))return!0;let uo=findFold(so.state,ao.from,ao.to);if(uo)return so.dispatch({effects:unfoldEffect.of(uo)}),!0;let co=foldable(so.state,ao.from,ao.to);return co?(so.dispatch({effects:foldEffect.of(co)}),!0):!1}})}),codeFolding()]}const baseTheme$1$1=EditorView.baseTheme({".cm-foldPlaceholder":{backgroundColor:"#eee",border:"1px solid #ddd",color:"#888",borderRadius:".2em",margin:"0 1px",padding:"0 1px",cursor:"pointer"},".cm-foldGutter span":{padding:"0 1px",cursor:"pointer"}});class HighlightStyle{constructor(to,ro){this.specs=to;let no;function oo(ao){let lo=StyleModule.newName();return(no||(no=Object.create(null)))["."+lo]=ao,lo}const io=typeof ro.all=="string"?ro.all:ro.all?oo(ro.all):void 0,so=ro.scope;this.scope=so instanceof Language?ao=>ao.prop(languageDataProp)==so.data:so?ao=>ao==so:void 0,this.style=tagHighlighter(to.map(ao=>({tag:ao.tag,class:ao.class||oo(Object.assign({},ao,{tag:null}))})),{all:io}).style,this.module=no?new StyleModule(no):null,this.themeType=ro.themeType}static define(to,ro){return new HighlightStyle(to,ro||{})}}const highlighterFacet=Facet.define(),fallbackHighlighter=Facet.define({combine(eo){return eo.length?[eo[0]]:null}});function getHighlighters(eo){let to=eo.facet(highlighterFacet);return to.length?to:eo.facet(fallbackHighlighter)}function syntaxHighlighting(eo,to){let ro=[treeHighlighter],no;return eo instanceof HighlightStyle&&(eo.module&&ro.push(EditorView.styleModule.of(eo.module)),no=eo.themeType),to!=null&&to.fallback?ro.push(fallbackHighlighter.of(eo)):no?ro.push(highlighterFacet.computeN([EditorView.darkTheme],oo=>oo.facet(EditorView.darkTheme)==(no=="dark")?[eo]:[])):ro.push(highlighterFacet.of(eo)),ro}class TreeHighlighter{constructor(to){this.markCache=Object.create(null),this.tree=syntaxTree(to.state),this.decorations=this.buildDeco(to,getHighlighters(to.state)),this.decoratedTo=to.viewport.to}update(to){let ro=syntaxTree(to.state),no=getHighlighters(to.state),oo=no!=getHighlighters(to.startState),{viewport:io}=to.view,so=to.changes.mapPos(this.decoratedTo,1);ro.length<io.to&&!oo&&ro.type==this.tree.type&&so>=io.to?(this.decorations=this.decorations.map(to.changes),this.decoratedTo=so):(ro!=this.tree||to.viewportChanged||oo)&&(this.tree=ro,this.decorations=this.buildDeco(to.view,no),this.decoratedTo=io.to)}buildDeco(to,ro){if(!ro||!this.tree.length)return Decoration.none;let no=new RangeSetBuilder;for(let{from:oo,to:io}of to.visibleRanges)highlightTree(this.tree,ro,(so,ao,lo)=>{no.add(so,ao,this.markCache[lo]||(this.markCache[lo]=Decoration.mark({class:lo})))},oo,io);return no.finish()}}const treeHighlighter=Prec.high(ViewPlugin.fromClass(TreeHighlighter,{decorations:eo=>eo.decorations})),defaultHighlightStyle=HighlightStyle.define([{tag:tags.meta,color:"#404740"},{tag:tags.link,textDecoration:"underline"},{tag:tags.heading,textDecoration:"underline",fontWeight:"bold"},{tag:tags.emphasis,fontStyle:"italic"},{tag:tags.strong,fontWeight:"bold"},{tag:tags.strikethrough,textDecoration:"line-through"},{tag:tags.keyword,color:"#708"},{tag:[tags.atom,tags.bool,tags.url,tags.contentSeparator,tags.labelName],color:"#219"},{tag:[tags.literal,tags.inserted],color:"#164"},{tag:[tags.string,tags.deleted],color:"#a11"},{tag:[tags.regexp,tags.escape,tags.special(tags.string)],color:"#e40"},{tag:tags.definition(tags.variableName),color:"#00f"},{tag:tags.local(tags.variableName),color:"#30a"},{tag:[tags.typeName,tags.namespace],color:"#085"},{tag:tags.className,color:"#167"},{tag:[tags.special(tags.variableName),tags.macroName],color:"#256"},{tag:tags.definition(tags.propertyName),color:"#00c"},{tag:tags.comment,color:"#940"},{tag:tags.invalid,color:"#f00"}]),baseTheme$4=EditorView.baseTheme({"&.cm-focused .cm-matchingBracket":{backgroundColor:"#328c8252"},"&.cm-focused .cm-nonmatchingBracket":{backgroundColor:"#bb555544"}}),DefaultScanDist=1e4,DefaultBrackets="()[]{}",bracketMatchingConfig=Facet.define({combine(eo){return combineConfig(eo,{afterCursor:!0,brackets:DefaultBrackets,maxScanDistance:DefaultScanDist,renderMatch:defaultRenderMatch})}}),matchingMark=Decoration.mark({class:"cm-matchingBracket"}),nonmatchingMark=Decoration.mark({class:"cm-nonmatchingBracket"});function defaultRenderMatch(eo){let to=[],ro=eo.matched?matchingMark:nonmatchingMark;return to.push(ro.range(eo.start.from,eo.start.to)),eo.end&&to.push(ro.range(eo.end.from,eo.end.to)),to}const bracketMatchingState=StateField.define({create(){return Decoration.none},update(eo,to){if(!to.docChanged&&!to.selection)return eo;let ro=[],no=to.state.facet(bracketMatchingConfig);for(let oo of to.state.selection.ranges){if(!oo.empty)continue;let io=matchBrackets(to.state,oo.head,-1,no)||oo.head>0&&matchBrackets(to.state,oo.head-1,1,no)||no.afterCursor&&(matchBrackets(to.state,oo.head,1,no)||oo.head<to.state.doc.length&&matchBrackets(to.state,oo.head+1,-1,no));io&&(ro=ro.concat(no.renderMatch(io,to.state)))}return Decoration.set(ro,!0)},provide:eo=>EditorView.decorations.from(eo)}),bracketMatchingUnique=[bracketMatchingState,baseTheme$4];function bracketMatching(eo={}){return[bracketMatchingConfig.of(eo),bracketMatchingUnique]}const bracketMatchingHandle=new NodeProp;function matchingNodes(eo,to,ro){let no=eo.prop(to<0?NodeProp.openedBy:NodeProp.closedBy);if(no)return no;if(eo.name.length==1){let oo=ro.indexOf(eo.name);if(oo>-1&&oo%2==(to<0?1:0))return[ro[oo+to]]}return null}function findHandle(eo){let to=eo.type.prop(bracketMatchingHandle);return to?to(eo.node):eo}function matchBrackets(eo,to,ro,no={}){let oo=no.maxScanDistance||DefaultScanDist,io=no.brackets||DefaultBrackets,so=syntaxTree(eo),ao=so.resolveInner(to,ro);for(let lo=ao;lo;lo=lo.parent){let uo=matchingNodes(lo.type,ro,io);if(uo&&lo.from<lo.to){let co=findHandle(lo);if(co&&(ro>0?to>=co.from&&to<co.to:to>co.from&&to<=co.to))return matchMarkedBrackets(eo,to,ro,lo,co,uo,io)}}return matchPlainBrackets(eo,to,ro,so,ao.type,oo,io)}function matchMarkedBrackets(eo,to,ro,no,oo,io,so){let ao=no.parent,lo={from:oo.from,to:oo.to},uo=0,co=ao==null?void 0:ao.cursor();if(co&&(ro<0?co.childBefore(no.from):co.childAfter(no.to)))do if(ro<0?co.to<=no.from:co.from>=no.to){if(uo==0&&io.indexOf(co.type.name)>-1&&co.from<co.to){let fo=findHandle(co);return{start:lo,end:fo?{from:fo.from,to:fo.to}:void 0,matched:!0}}else if(matchingNodes(co.type,ro,so))uo++;else if(matchingNodes(co.type,-ro,so)){if(uo==0){let fo=findHandle(co);return{start:lo,end:fo&&fo.from<fo.to?{from:fo.from,to:fo.to}:void 0,matched:!1}}uo--}}while(ro<0?co.prevSibling():co.nextSibling());return{start:lo,matched:!1}}function matchPlainBrackets(eo,to,ro,no,oo,io,so){let ao=ro<0?eo.sliceDoc(to-1,to):eo.sliceDoc(to,to+1),lo=so.indexOf(ao);if(lo<0||lo%2==0!=ro>0)return null;let uo={from:ro<0?to-1:to,to:ro>0?to+1:to},co=eo.doc.iterRange(to,ro>0?eo.doc.length:0),fo=0;for(let ho=0;!co.next().done&&ho<=io;){let po=co.value;ro<0&&(ho+=po.length);let go=to+ho*ro;for(let vo=ro>0?0:po.length-1,bo=ro>0?po.length:-1;vo!=bo;vo+=ro){let xo=so.indexOf(po[vo]);if(!(xo<0||no.resolveInner(go+vo,1).type!=oo))if(xo%2==0==ro>0)fo++;else{if(fo==1)return{start:uo,end:{from:go+vo,to:go+vo+1},matched:xo>>1==lo>>1};fo--}}ro>0&&(ho+=po.length)}return co.done?{start:uo,matched:!1}:null}const noTokens=Object.create(null),typeArray=[NodeType.none],warned=[],byTag=Object.create(null),defaultTable=Object.create(null);for(let[eo,to]of[["variable","variableName"],["variable-2","variableName.special"],["string-2","string.special"],["def","variableName.definition"],["tag","tagName"],["attribute","attributeName"],["type","typeName"],["builtin","variableName.standard"],["qualifier","modifier"],["error","invalid"],["header","heading"],["property","propertyName"]])defaultTable[eo]=createTokenType(noTokens,to);function warnForPart(eo,to){warned.indexOf(eo)>-1||(warned.push(eo),console.warn(to))}function createTokenType(eo,to){let ro=[];for(let ao of to.split(" ")){let lo=[];for(let uo of ao.split(".")){let co=eo[uo]||tags[uo];co?typeof co=="function"?lo.length?lo=lo.map(co):warnForPart(uo,`Modifier ${uo} used at start of tag`):lo.length?warnForPart(uo,`Tag ${uo} used as modifier`):lo=Array.isArray(co)?co:[co]:warnForPart(uo,`Unknown highlighting tag ${uo}`)}for(let uo of lo)ro.push(uo)}if(!ro.length)return 0;let no=to.replace(/ /g,"_"),oo=no+" "+ro.map(ao=>ao.id),io=byTag[oo];if(io)return io.id;let so=byTag[oo]=NodeType.define({id:typeArray.length,name:no,props:[styleTags({[no]:ro})]});return typeArray.push(so),so.id}Direction.RTL,Direction.LTR;class CompletionContext{constructor(to,ro,no){this.state=to,this.pos=ro,this.explicit=no,this.abortListeners=[]}tokenBefore(to){let ro=syntaxTree(this.state).resolveInner(this.pos,-1);for(;ro&&to.indexOf(ro.name)<0;)ro=ro.parent;return ro?{from:ro.from,to:this.pos,text:this.state.sliceDoc(ro.from,this.pos),type:ro.type}:null}matchBefore(to){let ro=this.state.doc.lineAt(this.pos),no=Math.max(ro.from,this.pos-250),oo=ro.text.slice(no-ro.from,this.pos-ro.from),io=oo.search(ensureAnchor(to,!1));return io<0?null:{from:no+io,to:this.pos,text:oo.slice(io)}}get aborted(){return this.abortListeners==null}addEventListener(to,ro){to=="abort"&&this.abortListeners&&this.abortListeners.push(ro)}}function toSet(eo){let to=Object.keys(eo).join(""),ro=/\w/.test(to);return ro&&(to=to.replace(/\w/g,"")),`[${ro?"\\w":""}${to.replace(/[^\w\s]/g,"\\$&")}]`}function prefixMatch(eo){let to=Object.create(null),ro=Object.create(null);for(let{label:oo}of eo){to[oo[0]]=!0;for(let io=1;io<oo.length;io++)ro[oo[io]]=!0}let no=toSet(to)+toSet(ro)+"*$";return[new RegExp("^"+no),new RegExp(no)]}function completeFromList(eo){let to=eo.map(oo=>typeof oo=="string"?{label:oo}:oo),[ro,no]=to.every(oo=>/^\w+$/.test(oo.label))?[/\w*$/,/\w+$/]:prefixMatch(to);return oo=>{let io=oo.matchBefore(no);return io||oo.explicit?{from:io?io.from:oo.pos,options:to,validFor:ro}:null}}function ifNotIn(eo,to){return ro=>{for(let no=syntaxTree(ro.state).resolveInner(ro.pos,-1);no;no=no.parent){if(eo.indexOf(no.name)>-1)return null;if(no.type.isTop)break}return to(ro)}}let Option$1=class{constructor(to,ro,no,oo){this.completion=to,this.source=ro,this.match=no,this.score=oo}};function cur(eo){return eo.selection.main.from}function ensureAnchor(eo,to){var ro;let{source:no}=eo,oo=to&&no[0]!="^",io=no[no.length-1]!="$";return!oo&&!io?eo:new RegExp(`${oo?"^":""}(?:${no})${io?"$":""}`,(ro=eo.flags)!==null&&ro!==void 0?ro:eo.ignoreCase?"i":"")}const pickedCompletion=Annotation.define();function insertCompletionText(eo,to,ro,no){let{main:oo}=eo.selection,io=ro-oo.from,so=no-oo.from;return Object.assign(Object.assign({},eo.changeByRange(ao=>ao!=oo&&ro!=no&&eo.sliceDoc(ao.from+io,ao.from+so)!=eo.sliceDoc(ro,no)?{range:ao}:{changes:{from:ao.from+io,to:no==oo.from?ao.to:ao.from+so,insert:to},range:EditorSelection.cursor(ao.from+io+to.length)})),{scrollIntoView:!0,userEvent:"input.complete"})}const SourceCache=new WeakMap;function asSource(eo){if(!Array.isArray(eo))return eo;let to=SourceCache.get(eo);return to||SourceCache.set(eo,to=completeFromList(eo)),to}const startCompletionEffect=StateEffect.define(),closeCompletionEffect=StateEffect.define();class FuzzyMatcher{constructor(to){this.pattern=to,this.chars=[],this.folded=[],this.any=[],this.precise=[],this.byWord=[],this.score=0,this.matched=[];for(let ro=0;ro<to.length;){let no=codePointAt(to,ro),oo=codePointSize(no);this.chars.push(no);let io=to.slice(ro,ro+oo),so=io.toUpperCase();this.folded.push(codePointAt(so==io?io.toLowerCase():so,0)),ro+=oo}this.astral=to.length!=this.chars.length}ret(to,ro){return this.score=to,this.matched=ro,this}match(to){if(this.pattern.length==0)return this.ret(-100,[]);if(to.length<this.pattern.length)return null;let{chars:ro,folded:no,any:oo,precise:io,byWord:so}=this;if(ro.length==1){let _o=codePointAt(to,0),Eo=codePointSize(_o),So=Eo==to.length?0:-100;if(_o!=ro[0])if(_o==no[0])So+=-200;else return null;return this.ret(So,[0,Eo])}let ao=to.indexOf(this.pattern);if(ao==0)return this.ret(to.length==this.pattern.length?0:-100,[0,this.pattern.length]);let lo=ro.length,uo=0;if(ao<0){for(let _o=0,Eo=Math.min(to.length,200);_o<Eo&&uo<lo;){let So=codePointAt(to,_o);(So==ro[uo]||So==no[uo])&&(oo[uo++]=_o),_o+=codePointSize(So)}if(uo<lo)return null}let co=0,fo=0,ho=!1,po=0,go=-1,vo=-1,bo=/[a-z]/.test(to),xo=!0;for(let _o=0,Eo=Math.min(to.length,200),So=0;_o<Eo&&fo<lo;){let To=codePointAt(to,_o);ao<0&&(co<lo&&To==ro[co]&&(io[co++]=_o),po<lo&&(To==ro[po]||To==no[po]?(po==0&&(go=_o),vo=_o+1,po++):po=0));let wo,Co=To<255?To>=48&&To<=57||To>=97&&To<=122?2:To>=65&&To<=90?1:0:(wo=fromCodePoint(To))!=wo.toLowerCase()?1:wo!=wo.toUpperCase()?2:0;(!_o||Co==1&&bo||So==0&&Co!=0)&&(ro[fo]==To||no[fo]==To&&(ho=!0)?so[fo++]=_o:so.length&&(xo=!1)),So=Co,_o+=codePointSize(To)}return fo==lo&&so[0]==0&&xo?this.result(-100+(ho?-200:0),so,to):po==lo&&go==0?this.ret(-200-to.length+(vo==to.length?0:-100),[0,vo]):ao>-1?this.ret(-700-to.length,[ao,ao+this.pattern.length]):po==lo?this.ret(-900-to.length,[go,vo]):fo==lo?this.result(-100+(ho?-200:0)+-700+(xo?0:-1100),so,to):ro.length==2?null:this.result((oo[0]?-700:0)+-200+-1100,oo,to)}result(to,ro,no){let oo=[],io=0;for(let so of ro){let ao=so+(this.astral?codePointSize(codePointAt(no,so)):1);io&&oo[io-1]==so?oo[io-1]=ao:(oo[io++]=so,oo[io++]=ao)}return this.ret(to-no.length,oo)}}class StrictMatcher{constructor(to){this.pattern=to,this.matched=[],this.score=0,this.folded=to.toLowerCase()}match(to){if(to.length<this.pattern.length)return null;let ro=to.slice(0,this.pattern.length),no=ro==this.pattern?0:ro.toLowerCase()==this.folded?-200:null;return no==null?null:(this.matched=[0,ro.length],this.score=no+(to.length==this.pattern.length?0:-100),this)}}const completionConfig=Facet.define({combine(eo){return combineConfig(eo,{activateOnTyping:!0,activateOnTypingDelay:100,selectOnOpen:!0,override:null,closeOnBlur:!0,maxRenderedOptions:100,defaultKeymap:!0,tooltipClass:()=>"",optionClass:()=>"",aboveCursor:!1,icons:!0,addToOptions:[],positionInfo:defaultPositionInfo,filterStrict:!1,compareCompletions:(to,ro)=>to.label.localeCompare(ro.label),interactionDelay:75,updateSyncTime:100},{defaultKeymap:(to,ro)=>to&&ro,closeOnBlur:(to,ro)=>to&&ro,icons:(to,ro)=>to&&ro,tooltipClass:(to,ro)=>no=>joinClass(to(no),ro(no)),optionClass:(to,ro)=>no=>joinClass(to(no),ro(no)),addToOptions:(to,ro)=>to.concat(ro),filterStrict:(to,ro)=>to||ro})}});function joinClass(eo,to){return eo?to?eo+" "+to:eo:to}function defaultPositionInfo(eo,to,ro,no,oo,io){let so=eo.textDirection==Direction.RTL,ao=so,lo=!1,uo="top",co,fo,ho=to.left-oo.left,po=oo.right-to.right,go=no.right-no.left,vo=no.bottom-no.top;if(ao&&ho<Math.min(go,po)?ao=!1:!ao&&po<Math.min(go,ho)&&(ao=!0),go<=(ao?ho:po))co=Math.max(oo.top,Math.min(ro.top,oo.bottom-vo))-to.top,fo=Math.min(400,ao?ho:po);else{lo=!0,fo=Math.min(400,(so?to.right:oo.right-to.left)-30);let _o=oo.bottom-to.bottom;_o>=vo||_o>to.top?co=ro.bottom-to.top:(uo="bottom",co=to.bottom-ro.top)}let bo=(to.bottom-to.top)/io.offsetHeight,xo=(to.right-to.left)/io.offsetWidth;return{style:`${uo}: ${co/bo}px; max-width: ${fo/xo}px`,class:"cm-completionInfo-"+(lo?so?"left-narrow":"right-narrow":ao?"left":"right")}}function optionContent(eo){let to=eo.addToOptions.slice();return eo.icons&&to.push({render(ro){let no=document.createElement("div");return no.classList.add("cm-completionIcon"),ro.type&&no.classList.add(...ro.type.split(/\s+/g).map(oo=>"cm-completionIcon-"+oo)),no.setAttribute("aria-hidden","true"),no},position:20}),to.push({render(ro,no,oo,io){let so=document.createElement("span");so.className="cm-completionLabel";let ao=ro.displayLabel||ro.label,lo=0;for(let uo=0;uo<io.length;){let co=io[uo++],fo=io[uo++];co>lo&&so.appendChild(document.createTextNode(ao.slice(lo,co)));let ho=so.appendChild(document.createElement("span"));ho.appendChild(document.createTextNode(ao.slice(co,fo))),ho.className="cm-completionMatchedText",lo=fo}return lo<ao.length&&so.appendChild(document.createTextNode(ao.slice(lo))),so},position:50},{render(ro){if(!ro.detail)return null;let no=document.createElement("span");return no.className="cm-completionDetail",no.textContent=ro.detail,no},position:80}),to.sort((ro,no)=>ro.position-no.position).map(ro=>ro.render)}function rangeAroundSelected(eo,to,ro){if(eo<=ro)return{from:0,to:eo};if(to<0&&(to=0),to<=eo>>1){let oo=Math.floor(to/ro);return{from:oo*ro,to:(oo+1)*ro}}let no=Math.floor((eo-to)/ro);return{from:eo-(no+1)*ro,to:eo-no*ro}}class CompletionTooltip{constructor(to,ro,no){this.view=to,this.stateField=ro,this.applyCompletion=no,this.info=null,this.infoDestroy=null,this.placeInfoReq={read:()=>this.measureInfo(),write:lo=>this.placeInfo(lo),key:this},this.space=null,this.currentClass="";let oo=to.state.field(ro),{options:io,selected:so}=oo.open,ao=to.state.facet(completionConfig);this.optionContent=optionContent(ao),this.optionClass=ao.optionClass,this.tooltipClass=ao.tooltipClass,this.range=rangeAroundSelected(io.length,so,ao.maxRenderedOptions),this.dom=document.createElement("div"),this.dom.className="cm-tooltip-autocomplete",this.updateTooltipClass(to.state),this.dom.addEventListener("mousedown",lo=>{let{options:uo}=to.state.field(ro).open;for(let co=lo.target,fo;co&&co!=this.dom;co=co.parentNode)if(co.nodeName=="LI"&&(fo=/-(\d+)$/.exec(co.id))&&+fo[1]<uo.length){this.applyCompletion(to,uo[+fo[1]]),lo.preventDefault();return}}),this.dom.addEventListener("focusout",lo=>{let uo=to.state.field(this.stateField,!1);uo&&uo.tooltip&&to.state.facet(completionConfig).closeOnBlur&&lo.relatedTarget!=to.contentDOM&&to.dispatch({effects:closeCompletionEffect.of(null)})}),this.showOptions(io,oo.id)}mount(){this.updateSel()}showOptions(to,ro){this.list&&this.list.remove(),this.list=this.dom.appendChild(this.createListBox(to,ro,this.range)),this.list.addEventListener("scroll",()=>{this.info&&this.view.requestMeasure(this.placeInfoReq)})}update(to){var ro;let no=to.state.field(this.stateField),oo=to.startState.field(this.stateField);if(this.updateTooltipClass(to.state),no!=oo){let{options:io,selected:so,disabled:ao}=no.open;(!oo.open||oo.open.options!=io)&&(this.range=rangeAroundSelected(io.length,so,to.state.facet(completionConfig).maxRenderedOptions),this.showOptions(io,no.id)),this.updateSel(),ao!=((ro=oo.open)===null||ro===void 0?void 0:ro.disabled)&&this.dom.classList.toggle("cm-tooltip-autocomplete-disabled",!!ao)}}updateTooltipClass(to){let ro=this.tooltipClass(to);if(ro!=this.currentClass){for(let no of this.currentClass.split(" "))no&&this.dom.classList.remove(no);for(let no of ro.split(" "))no&&this.dom.classList.add(no);this.currentClass=ro}}positioned(to){this.space=to,this.info&&this.view.requestMeasure(this.placeInfoReq)}updateSel(){let to=this.view.state.field(this.stateField),ro=to.open;if((ro.selected>-1&&ro.selected<this.range.from||ro.selected>=this.range.to)&&(this.range=rangeAroundSelected(ro.options.length,ro.selected,this.view.state.facet(completionConfig).maxRenderedOptions),this.showOptions(ro.options,to.id)),this.updateSelectedOption(ro.selected)){this.destroyInfo();let{completion:no}=ro.options[ro.selected],{info:oo}=no;if(!oo)return;let io=typeof oo=="string"?document.createTextNode(oo):oo(no);if(!io)return;"then"in io?io.then(so=>{so&&this.view.state.field(this.stateField,!1)==to&&this.addInfoPane(so,no)}).catch(so=>logException(this.view.state,so,"completion info")):this.addInfoPane(io,no)}}addInfoPane(to,ro){this.destroyInfo();let no=this.info=document.createElement("div");if(no.className="cm-tooltip cm-completionInfo",to.nodeType!=null)no.appendChild(to),this.infoDestroy=null;else{let{dom:oo,destroy:io}=to;no.appendChild(oo),this.infoDestroy=io||null}this.dom.appendChild(no),this.view.requestMeasure(this.placeInfoReq)}updateSelectedOption(to){let ro=null;for(let no=this.list.firstChild,oo=this.range.from;no;no=no.nextSibling,oo++)no.nodeName!="LI"||!no.id?oo--:oo==to?no.hasAttribute("aria-selected")||(no.setAttribute("aria-selected","true"),ro=no):no.hasAttribute("aria-selected")&&no.removeAttribute("aria-selected");return ro&&scrollIntoView(this.list,ro),ro}measureInfo(){let to=this.dom.querySelector("[aria-selected]");if(!to||!this.info)return null;let ro=this.dom.getBoundingClientRect(),no=this.info.getBoundingClientRect(),oo=to.getBoundingClientRect(),io=this.space;if(!io){let so=this.dom.ownerDocument.defaultView||window;io={left:0,top:0,right:so.innerWidth,bottom:so.innerHeight}}return oo.top>Math.min(io.bottom,ro.bottom)-10||oo.bottom<Math.max(io.top,ro.top)+10?null:this.view.state.facet(completionConfig).positionInfo(this.view,ro,oo,no,io,this.dom)}placeInfo(to){this.info&&(to?(to.style&&(this.info.style.cssText=to.style),this.info.className="cm-tooltip cm-completionInfo "+(to.class||"")):this.info.style.cssText="top: -1e6px")}createListBox(to,ro,no){const oo=document.createElement("ul");oo.id=ro,oo.setAttribute("role","listbox"),oo.setAttribute("aria-expanded","true"),oo.setAttribute("aria-label",this.view.state.phrase("Completions"));let io=null;for(let so=no.from;so<no.to;so++){let{completion:ao,match:lo}=to[so],{section:uo}=ao;if(uo){let ho=typeof uo=="string"?uo:uo.name;if(ho!=io&&(so>no.from||no.from==0))if(io=ho,typeof uo!="string"&&uo.header)oo.appendChild(uo.header(uo));else{let po=oo.appendChild(document.createElement("completion-section"));po.textContent=ho}}const co=oo.appendChild(document.createElement("li"));co.id=ro+"-"+so,co.setAttribute("role","option");let fo=this.optionClass(ao);fo&&(co.className=fo);for(let ho of this.optionContent){let po=ho(ao,this.view.state,this.view,lo);po&&co.appendChild(po)}}return no.from&&oo.classList.add("cm-completionListIncompleteTop"),no.to<to.length&&oo.classList.add("cm-completionListIncompleteBottom"),oo}destroyInfo(){this.info&&(this.infoDestroy&&this.infoDestroy(),this.info.remove(),this.info=null)}destroy(){this.destroyInfo()}}function completionTooltip(eo,to){return ro=>new CompletionTooltip(ro,eo,to)}function scrollIntoView(eo,to){let ro=eo.getBoundingClientRect(),no=to.getBoundingClientRect(),oo=ro.height/eo.offsetHeight;no.top<ro.top?eo.scrollTop-=(ro.top-no.top)/oo:no.bottom>ro.bottom&&(eo.scrollTop+=(no.bottom-ro.bottom)/oo)}function score(eo){return(eo.boost||0)*100+(eo.apply?10:0)+(eo.info?5:0)+(eo.type?1:0)}function sortOptions(eo,to){let ro=[],no=null,oo=uo=>{ro.push(uo);let{section:co}=uo.completion;if(co){no||(no=[]);let fo=typeof co=="string"?co:co.name;no.some(ho=>ho.name==fo)||no.push(typeof co=="string"?{name:fo}:co)}},io=to.facet(completionConfig);for(let uo of eo)if(uo.hasResult()){let co=uo.result.getMatch;if(uo.result.filter===!1)for(let fo of uo.result.options)oo(new Option$1(fo,uo.source,co?co(fo):[],1e9-ro.length));else{let fo=to.sliceDoc(uo.from,uo.to),ho,po=io.filterStrict?new StrictMatcher(fo):new FuzzyMatcher(fo);for(let go of uo.result.options)if(ho=po.match(go.label)){let vo=go.displayLabel?co?co(go,ho.matched):[]:ho.matched;oo(new Option$1(go,uo.source,vo,ho.score+(go.boost||0)))}}}if(no){let uo=Object.create(null),co=0,fo=(ho,po)=>{var go,vo;return((go=ho.rank)!==null&&go!==void 0?go:1e9)-((vo=po.rank)!==null&&vo!==void 0?vo:1e9)||(ho.name<po.name?-1:1)};for(let ho of no.sort(fo))co-=1e5,uo[ho.name]=co;for(let ho of ro){let{section:po}=ho.completion;po&&(ho.score+=uo[typeof po=="string"?po:po.name])}}let so=[],ao=null,lo=io.compareCompletions;for(let uo of ro.sort((co,fo)=>fo.score-co.score||lo(co.completion,fo.completion))){let co=uo.completion;!ao||ao.label!=co.label||ao.detail!=co.detail||ao.type!=null&&co.type!=null&&ao.type!=co.type||ao.apply!=co.apply||ao.boost!=co.boost?so.push(uo):score(uo.completion)>score(ao)&&(so[so.length-1]=uo),ao=uo.completion}return so}class CompletionDialog{constructor(to,ro,no,oo,io,so){this.options=to,this.attrs=ro,this.tooltip=no,this.timestamp=oo,this.selected=io,this.disabled=so}setSelected(to,ro){return to==this.selected||to>=this.options.length?this:new CompletionDialog(this.options,makeAttrs(ro,to),this.tooltip,this.timestamp,to,this.disabled)}static build(to,ro,no,oo,io){let so=sortOptions(to,ro);if(!so.length)return oo&&to.some(lo=>lo.state==1)?new CompletionDialog(oo.options,oo.attrs,oo.tooltip,oo.timestamp,oo.selected,!0):null;let ao=ro.facet(completionConfig).selectOnOpen?0:-1;if(oo&&oo.selected!=ao&&oo.selected!=-1){let lo=oo.options[oo.selected].completion;for(let uo=0;uo<so.length;uo++)if(so[uo].completion==lo){ao=uo;break}}return new CompletionDialog(so,makeAttrs(no,ao),{pos:to.reduce((lo,uo)=>uo.hasResult()?Math.min(lo,uo.from):lo,1e8),create:createTooltip,above:io.aboveCursor},oo?oo.timestamp:Date.now(),ao,!1)}map(to){return new CompletionDialog(this.options,this.attrs,Object.assign(Object.assign({},this.tooltip),{pos:to.mapPos(this.tooltip.pos)}),this.timestamp,this.selected,this.disabled)}}class CompletionState{constructor(to,ro,no){this.active=to,this.id=ro,this.open=no}static start(){return new CompletionState(none$1,"cm-ac-"+Math.floor(Math.random()*2e6).toString(36),null)}update(to){let{state:ro}=to,no=ro.facet(completionConfig),io=(no.override||ro.languageDataAt("autocomplete",cur(ro)).map(asSource)).map(ao=>(this.active.find(uo=>uo.source==ao)||new ActiveSource(ao,this.active.some(uo=>uo.state!=0)?1:0)).update(to,no));io.length==this.active.length&&io.every((ao,lo)=>ao==this.active[lo])&&(io=this.active);let so=this.open;so&&to.docChanged&&(so=so.map(to.changes)),to.selection||io.some(ao=>ao.hasResult()&&to.changes.touchesRange(ao.from,ao.to))||!sameResults(io,this.active)?so=CompletionDialog.build(io,ro,this.id,so,no):so&&so.disabled&&!io.some(ao=>ao.state==1)&&(so=null),!so&&io.every(ao=>ao.state!=1)&&io.some(ao=>ao.hasResult())&&(io=io.map(ao=>ao.hasResult()?new ActiveSource(ao.source,0):ao));for(let ao of to.effects)ao.is(setSelectedEffect)&&(so=so&&so.setSelected(ao.value,this.id));return io==this.active&&so==this.open?this:new CompletionState(io,this.id,so)}get tooltip(){return this.open?this.open.tooltip:null}get attrs(){return this.open?this.open.attrs:baseAttrs}}function sameResults(eo,to){if(eo==to)return!0;for(let ro=0,no=0;;){for(;ro<eo.length&&!eo[ro].hasResult;)ro++;for(;no<to.length&&!to[no].hasResult;)no++;let oo=ro==eo.length,io=no==to.length;if(oo||io)return oo==io;if(eo[ro++].result!=to[no++].result)return!1}}const baseAttrs={"aria-autocomplete":"list"};function makeAttrs(eo,to){let ro={"aria-autocomplete":"list","aria-haspopup":"listbox","aria-controls":eo};return to>-1&&(ro["aria-activedescendant"]=eo+"-"+to),ro}const none$1=[];function getUserEvent(eo){return eo.isUserEvent("input.type")?"input":eo.isUserEvent("delete.backward")?"delete":null}class ActiveSource{constructor(to,ro,no=-1){this.source=to,this.state=ro,this.explicitPos=no}hasResult(){return!1}update(to,ro){let no=getUserEvent(to),oo=this;no?oo=oo.handleUserEvent(to,no,ro):to.docChanged?oo=oo.handleChange(to):to.selection&&oo.state!=0&&(oo=new ActiveSource(oo.source,0));for(let io of to.effects)if(io.is(startCompletionEffect))oo=new ActiveSource(oo.source,1,io.value?cur(to.state):-1);else if(io.is(closeCompletionEffect))oo=new ActiveSource(oo.source,0);else if(io.is(setActiveEffect))for(let so of io.value)so.source==oo.source&&(oo=so);return oo}handleUserEvent(to,ro,no){return ro=="delete"||!no.activateOnTyping?this.map(to.changes):new ActiveSource(this.source,1)}handleChange(to){return to.changes.touchesRange(cur(to.startState))?new ActiveSource(this.source,0):this.map(to.changes)}map(to){return to.empty||this.explicitPos<0?this:new ActiveSource(this.source,this.state,to.mapPos(this.explicitPos))}}class ActiveResult extends ActiveSource{constructor(to,ro,no,oo,io){super(to,2,ro),this.result=no,this.from=oo,this.to=io}hasResult(){return!0}handleUserEvent(to,ro,no){var oo;let io=this.result;io.map&&!to.changes.empty&&(io=io.map(io,to.changes));let so=to.changes.mapPos(this.from),ao=to.changes.mapPos(this.to,1),lo=cur(to.state);if((this.explicitPos<0?lo<=so:lo<this.from)||lo>ao||!io||ro=="delete"&&cur(to.startState)==this.from)return new ActiveSource(this.source,ro=="input"&&no.activateOnTyping?1:0);let uo=this.explicitPos<0?-1:to.changes.mapPos(this.explicitPos);return checkValid(io.validFor,to.state,so,ao)?new ActiveResult(this.source,uo,io,so,ao):io.update&&(io=io.update(io,so,ao,new CompletionContext(to.state,lo,uo>=0)))?new ActiveResult(this.source,uo,io,io.from,(oo=io.to)!==null&&oo!==void 0?oo:cur(to.state)):new ActiveSource(this.source,1,uo)}handleChange(to){return to.changes.touchesRange(this.from,this.to)?new ActiveSource(this.source,0):this.map(to.changes)}map(to){return to.empty?this:(this.result.map?this.result.map(this.result,to):this.result)?new ActiveResult(this.source,this.explicitPos<0?-1:to.mapPos(this.explicitPos),this.result,to.mapPos(this.from),to.mapPos(this.to,1)):new ActiveSource(this.source,0)}}function checkValid(eo,to,ro,no){if(!eo)return!1;let oo=to.sliceDoc(ro,no);return typeof eo=="function"?eo(oo,ro,no,to):ensureAnchor(eo,!0).test(oo)}const setActiveEffect=StateEffect.define({map(eo,to){return eo.map(ro=>ro.map(to))}}),setSelectedEffect=StateEffect.define(),completionState=StateField.define({create(){return CompletionState.start()},update(eo,to){return eo.update(to)},provide:eo=>[showTooltip.from(eo,to=>to.tooltip),EditorView.contentAttributes.from(eo,to=>to.attrs)]});function applyCompletion(eo,to){const ro=to.completion.apply||to.completion.label;let no=eo.state.field(completionState).active.find(oo=>oo.source==to.source);return no instanceof ActiveResult?(typeof ro=="string"?eo.dispatch(Object.assign(Object.assign({},insertCompletionText(eo.state,ro,no.from,no.to)),{annotations:pickedCompletion.of(to.completion)})):ro(eo,to.completion,no.from,no.to),!0):!1}const createTooltip=completionTooltip(completionState,applyCompletion);function moveCompletionSelection(eo,to="option"){return ro=>{let no=ro.state.field(completionState,!1);if(!no||!no.open||no.open.disabled||Date.now()-no.open.timestamp<ro.state.facet(completionConfig).interactionDelay)return!1;let oo=1,io;to=="page"&&(io=getTooltip(ro,no.open.tooltip))&&(oo=Math.max(2,Math.floor(io.dom.offsetHeight/io.dom.querySelector("li").offsetHeight)-1));let{length:so}=no.open.options,ao=no.open.selected>-1?no.open.selected+oo*(eo?1:-1):eo?0:so-1;return ao<0?ao=to=="page"?0:so-1:ao>=so&&(ao=to=="page"?so-1:0),ro.dispatch({effects:setSelectedEffect.of(ao)}),!0}}const acceptCompletion=eo=>{let to=eo.state.field(completionState,!1);return eo.state.readOnly||!to||!to.open||to.open.selected<0||to.open.disabled||Date.now()-to.open.timestamp<eo.state.facet(completionConfig).interactionDelay?!1:applyCompletion(eo,to.open.options[to.open.selected])},startCompletion=eo=>eo.state.field(completionState,!1)?(eo.dispatch({effects:startCompletionEffect.of(!0)}),!0):!1,closeCompletion=eo=>{let to=eo.state.field(completionState,!1);return!to||!to.active.some(ro=>ro.state!=0)?!1:(eo.dispatch({effects:closeCompletionEffect.of(null)}),!0)};class RunningQuery{constructor(to,ro){this.active=to,this.context=ro,this.time=Date.now(),this.updates=[],this.done=void 0}}const MaxUpdateCount=50,MinAbortTime=1e3,completionPlugin=ViewPlugin.fromClass(class{constructor(eo){this.view=eo,this.debounceUpdate=-1,this.running=[],this.debounceAccept=-1,this.pendingStart=!1,this.composing=0;for(let to of eo.state.field(completionState).active)to.state==1&&this.startQuery(to)}update(eo){let to=eo.state.field(completionState);if(!eo.selectionSet&&!eo.docChanged&&eo.startState.field(completionState)==to)return;let ro=eo.transactions.some(oo=>(oo.selection||oo.docChanged)&&!getUserEvent(oo));for(let oo=0;oo<this.running.length;oo++){let io=this.running[oo];if(ro||io.updates.length+eo.transactions.length>MaxUpdateCount&&Date.now()-io.time>MinAbortTime){for(let so of io.context.abortListeners)try{so()}catch(ao){logException(this.view.state,ao)}io.context.abortListeners=null,this.running.splice(oo--,1)}else io.updates.push(...eo.transactions)}this.debounceUpdate>-1&&clearTimeout(this.debounceUpdate),eo.transactions.some(oo=>oo.effects.some(io=>io.is(startCompletionEffect)))&&(this.pendingStart=!0);let no=this.pendingStart?50:eo.state.facet(completionConfig).activateOnTypingDelay;if(this.debounceUpdate=to.active.some(oo=>oo.state==1&&!this.running.some(io=>io.active.source==oo.source))?setTimeout(()=>this.startUpdate(),no):-1,this.composing!=0)for(let oo of eo.transactions)getUserEvent(oo)=="input"?this.composing=2:this.composing==2&&oo.selection&&(this.composing=3)}startUpdate(){this.debounceUpdate=-1,this.pendingStart=!1;let{state:eo}=this.view,to=eo.field(completionState);for(let ro of to.active)ro.state==1&&!this.running.some(no=>no.active.source==ro.source)&&this.startQuery(ro)}startQuery(eo){let{state:to}=this.view,ro=cur(to),no=new CompletionContext(to,ro,eo.explicitPos==ro),oo=new RunningQuery(eo,no);this.running.push(oo),Promise.resolve(eo.source(no)).then(io=>{oo.context.aborted||(oo.done=io||null,this.scheduleAccept())},io=>{this.view.dispatch({effects:closeCompletionEffect.of(null)}),logException(this.view.state,io)})}scheduleAccept(){this.running.every(eo=>eo.done!==void 0)?this.accept():this.debounceAccept<0&&(this.debounceAccept=setTimeout(()=>this.accept(),this.view.state.facet(completionConfig).updateSyncTime))}accept(){var eo;this.debounceAccept>-1&&clearTimeout(this.debounceAccept),this.debounceAccept=-1;let to=[],ro=this.view.state.facet(completionConfig);for(let no=0;no<this.running.length;no++){let oo=this.running[no];if(oo.done===void 0)continue;if(this.running.splice(no--,1),oo.done){let so=new ActiveResult(oo.active.source,oo.active.explicitPos,oo.done,oo.done.from,(eo=oo.done.to)!==null&&eo!==void 0?eo:cur(oo.updates.length?oo.updates[0].startState:this.view.state));for(let ao of oo.updates)so=so.update(ao,ro);if(so.hasResult()){to.push(so);continue}}let io=this.view.state.field(completionState).active.find(so=>so.source==oo.active.source);if(io&&io.state==1)if(oo.done==null){let so=new ActiveSource(oo.active.source,0);for(let ao of oo.updates)so=so.update(ao,ro);so.state!=1&&to.push(so)}else this.startQuery(io)}to.length&&this.view.dispatch({effects:setActiveEffect.of(to)})}},{eventHandlers:{blur(eo){let to=this.view.state.field(completionState,!1);if(to&&to.tooltip&&this.view.state.facet(completionConfig).closeOnBlur){let ro=to.open&&getTooltip(this.view,to.open.tooltip);(!ro||!ro.dom.contains(eo.relatedTarget))&&setTimeout(()=>this.view.dispatch({effects:closeCompletionEffect.of(null)}),10)}},compositionstart(){this.composing=1},compositionend(){this.composing==3&&setTimeout(()=>this.view.dispatch({effects:startCompletionEffect.of(!1)}),20),this.composing=0}}}),windows=typeof navigator=="object"&&/Win/.test(navigator.platform),commitCharacters=Prec.highest(EditorView.domEventHandlers({keydown(eo,to){let ro=to.state.field(completionState,!1);if(!ro||!ro.open||ro.open.disabled||ro.open.selected<0||eo.key.length>1||eo.ctrlKey&&!(windows&&eo.altKey)||eo.metaKey)return!1;let no=ro.open.options[ro.open.selected],oo=ro.active.find(so=>so.source==no.source),io=no.completion.commitCharacters||oo.result.commitCharacters;return io&&io.indexOf(eo.key)>-1&&applyCompletion(to,no),!1}})),baseTheme$3=EditorView.baseTheme({".cm-tooltip.cm-tooltip-autocomplete":{"& > ul":{fontFamily:"monospace",whiteSpace:"nowrap",overflow:"hidden auto",maxWidth_fallback:"700px",maxWidth:"min(700px, 95vw)",minWidth:"250px",maxHeight:"10em",height:"100%",listStyle:"none",margin:0,padding:0,"& > li, & > completion-section":{padding:"1px 3px",lineHeight:1.2},"& > li":{overflowX:"hidden",textOverflow:"ellipsis",cursor:"pointer"},"& > completion-section":{display:"list-item",borderBottom:"1px solid silver",paddingLeft:"0.5em",opacity:.7}}},"&light .cm-tooltip-autocomplete ul li[aria-selected]":{background:"#17c",color:"white"},"&light .cm-tooltip-autocomplete-disabled ul li[aria-selected]":{background:"#777"},"&dark .cm-tooltip-autocomplete ul li[aria-selected]":{background:"#347",color:"white"},"&dark .cm-tooltip-autocomplete-disabled ul li[aria-selected]":{background:"#444"},".cm-completionListIncompleteTop:before, .cm-completionListIncompleteBottom:after":{content:'"···"',opacity:.5,display:"block",textAlign:"center"},".cm-tooltip.cm-completionInfo":{position:"absolute",padding:"3px 9px",width:"max-content",maxWidth:"400px",boxSizing:"border-box"},".cm-completionInfo.cm-completionInfo-left":{right:"100%"},".cm-completionInfo.cm-completionInfo-right":{left:"100%"},".cm-completionInfo.cm-completionInfo-left-narrow":{right:"30px"},".cm-completionInfo.cm-completionInfo-right-narrow":{left:"30px"},"&light .cm-snippetField":{backgroundColor:"#00000022"},"&dark .cm-snippetField":{backgroundColor:"#ffffff22"},".cm-snippetFieldPosition":{verticalAlign:"text-top",width:0,height:"1.15em",display:"inline-block",margin:"0 -0.7px -.7em",borderLeft:"1.4px dotted #888"},".cm-completionMatchedText":{textDecoration:"underline"},".cm-completionDetail":{marginLeft:"0.5em",fontStyle:"italic"},".cm-completionIcon":{fontSize:"90%",width:".8em",display:"inline-block",textAlign:"center",paddingRight:".6em",opacity:"0.6",boxSizing:"content-box"},".cm-completionIcon-function, .cm-completionIcon-method":{"&:after":{content:"'ƒ'"}},".cm-completionIcon-class":{"&:after":{content:"'○'"}},".cm-completionIcon-interface":{"&:after":{content:"'◌'"}},".cm-completionIcon-variable":{"&:after":{content:"'𝑥'"}},".cm-completionIcon-constant":{"&:after":{content:"'𝐶'"}},".cm-completionIcon-type":{"&:after":{content:"'𝑡'"}},".cm-completionIcon-enum":{"&:after":{content:"'∪'"}},".cm-completionIcon-property":{"&:after":{content:"'□'"}},".cm-completionIcon-keyword":{"&:after":{content:"'🔑︎'"}},".cm-completionIcon-namespace":{"&:after":{content:"'▢'"}},".cm-completionIcon-text":{"&:after":{content:"'abc'",fontSize:"50%",verticalAlign:"middle"}}});class FieldPos{constructor(to,ro,no,oo){this.field=to,this.line=ro,this.from=no,this.to=oo}}class FieldRange{constructor(to,ro,no){this.field=to,this.from=ro,this.to=no}map(to){let ro=to.mapPos(this.from,-1,MapMode.TrackDel),no=to.mapPos(this.to,1,MapMode.TrackDel);return ro==null||no==null?null:new FieldRange(this.field,ro,no)}}class Snippet{constructor(to,ro){this.lines=to,this.fieldPositions=ro}instantiate(to,ro){let no=[],oo=[ro],io=to.doc.lineAt(ro),so=/^\s*/.exec(io.text)[0];for(let lo of this.lines){if(no.length){let uo=so,co=/^\t*/.exec(lo)[0].length;for(let fo=0;fo<co;fo++)uo+=to.facet(indentUnit);oo.push(ro+uo.length-co),lo=uo+lo.slice(co)}no.push(lo),ro+=lo.length+1}let ao=this.fieldPositions.map(lo=>new FieldRange(lo.field,oo[lo.line]+lo.from,oo[lo.line]+lo.to));return{text:no,ranges:ao}}static parse(to){let ro=[],no=[],oo=[],io;for(let so of to.split(/\r\n?|\n/)){for(;io=/[#$]\{(?:(\d+)(?::([^}]*))?|([^}]*))\}/.exec(so);){let ao=io[1]?+io[1]:null,lo=io[2]||io[3]||"",uo=-1;for(let co=0;co<ro.length;co++)(ao!=null?ro[co].seq==ao:lo&&ro[co].name==lo)&&(uo=co);if(uo<0){let co=0;for(;co<ro.length&&(ao==null||ro[co].seq!=null&&ro[co].seq<ao);)co++;ro.splice(co,0,{seq:ao,name:lo}),uo=co;for(let fo of oo)fo.field>=uo&&fo.field++}oo.push(new FieldPos(uo,no.length,io.index,io.index+lo.length)),so=so.slice(0,io.index)+lo+so.slice(io.index+io[0].length)}for(let ao;ao=/\\([{}])/.exec(so);){so=so.slice(0,ao.index)+ao[1]+so.slice(ao.index+ao[0].length);for(let lo of oo)lo.line==no.length&&lo.from>ao.index&&(lo.from--,lo.to--)}no.push(so)}return new Snippet(no,oo)}}let fieldMarker=Decoration.widget({widget:new class extends WidgetType{toDOM(){let eo=document.createElement("span");return eo.className="cm-snippetFieldPosition",eo}ignoreEvent(){return!1}}}),fieldRange=Decoration.mark({class:"cm-snippetField"});class ActiveSnippet{constructor(to,ro){this.ranges=to,this.active=ro,this.deco=Decoration.set(to.map(no=>(no.from==no.to?fieldMarker:fieldRange).range(no.from,no.to)))}map(to){let ro=[];for(let no of this.ranges){let oo=no.map(to);if(!oo)return null;ro.push(oo)}return new ActiveSnippet(ro,this.active)}selectionInsideField(to){return to.ranges.every(ro=>this.ranges.some(no=>no.field==this.active&&no.from<=ro.from&&no.to>=ro.to))}}const setActive=StateEffect.define({map(eo,to){return eo&&eo.map(to)}}),moveToField=StateEffect.define(),snippetState=StateField.define({create(){return null},update(eo,to){for(let ro of to.effects){if(ro.is(setActive))return ro.value;if(ro.is(moveToField)&&eo)return new ActiveSnippet(eo.ranges,ro.value)}return eo&&to.docChanged&&(eo=eo.map(to.changes)),eo&&to.selection&&!eo.selectionInsideField(to.selection)&&(eo=null),eo},provide:eo=>EditorView.decorations.from(eo,to=>to?to.deco:Decoration.none)});function fieldSelection(eo,to){return EditorSelection.create(eo.filter(ro=>ro.field==to).map(ro=>EditorSelection.range(ro.from,ro.to)))}function snippet(eo){let to=Snippet.parse(eo);return(ro,no,oo,io)=>{let{text:so,ranges:ao}=to.instantiate(ro.state,oo),lo={changes:{from:oo,to:io,insert:Text$1.of(so)},scrollIntoView:!0,annotations:no?[pickedCompletion.of(no),Transaction.userEvent.of("input.complete")]:void 0};if(ao.length&&(lo.selection=fieldSelection(ao,0)),ao.some(uo=>uo.field>0)){let uo=new ActiveSnippet(ao,0),co=lo.effects=[setActive.of(uo)];ro.state.field(snippetState,!1)===void 0&&co.push(StateEffect.appendConfig.of([snippetState,addSnippetKeymap,snippetPointerHandler,baseTheme$3]))}ro.dispatch(ro.state.update(lo))}}function moveField(eo){return({state:to,dispatch:ro})=>{let no=to.field(snippetState,!1);if(!no||eo<0&&no.active==0)return!1;let oo=no.active+eo,io=eo>0&&!no.ranges.some(so=>so.field==oo+eo);return ro(to.update({selection:fieldSelection(no.ranges,oo),effects:setActive.of(io?null:new ActiveSnippet(no.ranges,oo)),scrollIntoView:!0})),!0}}const clearSnippet=({state:eo,dispatch:to})=>eo.field(snippetState,!1)?(to(eo.update({effects:setActive.of(null)})),!0):!1,nextSnippetField=moveField(1),prevSnippetField=moveField(-1),defaultSnippetKeymap=[{key:"Tab",run:nextSnippetField,shift:prevSnippetField},{key:"Escape",run:clearSnippet}],snippetKeymap=Facet.define({combine(eo){return eo.length?eo[0]:defaultSnippetKeymap}}),addSnippetKeymap=Prec.highest(keymap.compute([snippetKeymap],eo=>eo.facet(snippetKeymap)));function snippetCompletion(eo,to){return Object.assign(Object.assign({},to),{apply:snippet(eo)})}const snippetPointerHandler=EditorView.domEventHandlers({mousedown(eo,to){let ro=to.state.field(snippetState,!1),no;if(!ro||(no=to.posAtCoords({x:eo.clientX,y:eo.clientY}))==null)return!1;let oo=ro.ranges.find(io=>io.from<=no&&io.to>=no);return!oo||oo.field==ro.active?!1:(to.dispatch({selection:fieldSelection(ro.ranges,oo.field),effects:setActive.of(ro.ranges.some(io=>io.field>oo.field)?new ActiveSnippet(ro.ranges,oo.field):null),scrollIntoView:!0}),!0)}}),defaults={brackets:["(","[","{","'",'"'],before:")]}:;>",stringPrefixes:[]},closeBracketEffect=StateEffect.define({map(eo,to){let ro=to.mapPos(eo,-1,MapMode.TrackAfter);return ro??void 0}}),closedBracket=new class extends RangeValue{};closedBracket.startSide=1;closedBracket.endSide=-1;const bracketState=StateField.define({create(){return RangeSet.empty},update(eo,to){if(eo=eo.map(to.changes),to.selection){let ro=to.state.doc.lineAt(to.selection.main.head);eo=eo.update({filter:no=>no>=ro.from&&no<=ro.to})}for(let ro of to.effects)ro.is(closeBracketEffect)&&(eo=eo.update({add:[closedBracket.range(ro.value,ro.value+1)]}));return eo}});function closeBrackets(){return[inputHandler,bracketState]}const definedClosing="()[]{}<>";function closing(eo){for(let to=0;to<definedClosing.length;to+=2)if(definedClosing.charCodeAt(to)==eo)return definedClosing.charAt(to+1);return fromCodePoint(eo<128?eo:eo+1)}function config(eo,to){return eo.languageDataAt("closeBrackets",to)[0]||defaults}const android=typeof navigator=="object"&&/Android\b/.test(navigator.userAgent),inputHandler=EditorView.inputHandler.of((eo,to,ro,no)=>{if((android?eo.composing:eo.compositionStarted)||eo.state.readOnly)return!1;let oo=eo.state.selection.main;if(no.length>2||no.length==2&&codePointSize(codePointAt(no,0))==1||to!=oo.from||ro!=oo.to)return!1;let io=insertBracket(eo.state,no);return io?(eo.dispatch(io),!0):!1}),deleteBracketPair=({state:eo,dispatch:to})=>{if(eo.readOnly)return!1;let no=config(eo,eo.selection.main.head).brackets||defaults.brackets,oo=null,io=eo.changeByRange(so=>{if(so.empty){let ao=prevChar(eo.doc,so.head);for(let lo of no)if(lo==ao&&nextChar(eo.doc,so.head)==closing(codePointAt(lo,0)))return{changes:{from:so.head-lo.length,to:so.head+lo.length},range:EditorSelection.cursor(so.head-lo.length)}}return{range:oo=so}});return oo||to(eo.update(io,{scrollIntoView:!0,userEvent:"delete.backward"})),!oo},closeBracketsKeymap=[{key:"Backspace",run:deleteBracketPair}];function insertBracket(eo,to){let ro=config(eo,eo.selection.main.head),no=ro.brackets||defaults.brackets;for(let oo of no){let io=closing(codePointAt(oo,0));if(to==oo)return io==oo?handleSame(eo,oo,no.indexOf(oo+oo+oo)>-1,ro):handleOpen(eo,oo,io,ro.before||defaults.before);if(to==io&&closedBracketAt(eo,eo.selection.main.from))return handleClose(eo,oo,io)}return null}function closedBracketAt(eo,to){let ro=!1;return eo.field(bracketState).between(0,eo.doc.length,no=>{no==to&&(ro=!0)}),ro}function nextChar(eo,to){let ro=eo.sliceString(to,to+2);return ro.slice(0,codePointSize(codePointAt(ro,0)))}function prevChar(eo,to){let ro=eo.sliceString(to-2,to);return codePointSize(codePointAt(ro,0))==ro.length?ro:ro.slice(1)}function handleOpen(eo,to,ro,no){let oo=null,io=eo.changeByRange(so=>{if(!so.empty)return{changes:[{insert:to,from:so.from},{insert:ro,from:so.to}],effects:closeBracketEffect.of(so.to+to.length),range:EditorSelection.range(so.anchor+to.length,so.head+to.length)};let ao=nextChar(eo.doc,so.head);return!ao||/\s/.test(ao)||no.indexOf(ao)>-1?{changes:{insert:to+ro,from:so.head},effects:closeBracketEffect.of(so.head+to.length),range:EditorSelection.cursor(so.head+to.length)}:{range:oo=so}});return oo?null:eo.update(io,{scrollIntoView:!0,userEvent:"input.type"})}function handleClose(eo,to,ro){let no=null,oo=eo.changeByRange(io=>io.empty&&nextChar(eo.doc,io.head)==ro?{changes:{from:io.head,to:io.head+ro.length,insert:ro},range:EditorSelection.cursor(io.head+ro.length)}:no={range:io});return no?null:eo.update(oo,{scrollIntoView:!0,userEvent:"input.type"})}function handleSame(eo,to,ro,no){let oo=no.stringPrefixes||defaults.stringPrefixes,io=null,so=eo.changeByRange(ao=>{if(!ao.empty)return{changes:[{insert:to,from:ao.from},{insert:to,from:ao.to}],effects:closeBracketEffect.of(ao.to+to.length),range:EditorSelection.range(ao.anchor+to.length,ao.head+to.length)};let lo=ao.head,uo=nextChar(eo.doc,lo),co;if(uo==to){if(nodeStart(eo,lo))return{changes:{insert:to+to,from:lo},effects:closeBracketEffect.of(lo+to.length),range:EditorSelection.cursor(lo+to.length)};if(closedBracketAt(eo,lo)){let ho=ro&&eo.sliceDoc(lo,lo+to.length*3)==to+to+to?to+to+to:to;return{changes:{from:lo,to:lo+ho.length,insert:ho},range:EditorSelection.cursor(lo+ho.length)}}}else{if(ro&&eo.sliceDoc(lo-2*to.length,lo)==to+to&&(co=canStartStringAt(eo,lo-2*to.length,oo))>-1&&nodeStart(eo,co))return{changes:{insert:to+to+to+to,from:lo},effects:closeBracketEffect.of(lo+to.length),range:EditorSelection.cursor(lo+to.length)};if(eo.charCategorizer(lo)(uo)!=CharCategory.Word&&canStartStringAt(eo,lo,oo)>-1&&!probablyInString(eo,lo,to,oo))return{changes:{insert:to+to,from:lo},effects:closeBracketEffect.of(lo+to.length),range:EditorSelection.cursor(lo+to.length)}}return{range:io=ao}});return io?null:eo.update(so,{scrollIntoView:!0,userEvent:"input.type"})}function nodeStart(eo,to){let ro=syntaxTree(eo).resolveInner(to+1);return ro.parent&&ro.from==to}function probablyInString(eo,to,ro,no){let oo=syntaxTree(eo).resolveInner(to,-1),io=no.reduce((so,ao)=>Math.max(so,ao.length),0);for(let so=0;so<5;so++){let ao=eo.sliceDoc(oo.from,Math.min(oo.to,oo.from+ro.length+io)),lo=ao.indexOf(ro);if(!lo||lo>-1&&no.indexOf(ao.slice(0,lo))>-1){let co=oo.firstChild;for(;co&&co.from==oo.from&&co.to-co.from>ro.length+lo;){if(eo.sliceDoc(co.to-ro.length,co.to)==ro)return!1;co=co.firstChild}return!0}let uo=oo.to==to&&oo.parent;if(!uo)break;oo=uo}return!1}function canStartStringAt(eo,to,ro){let no=eo.charCategorizer(to);if(no(eo.sliceDoc(to-1,to))!=CharCategory.Word)return to;for(let oo of ro){let io=to-oo.length;if(eo.sliceDoc(io,to)==oo&&no(eo.sliceDoc(io-1,io))!=CharCategory.Word)return io}return-1}function autocompletion(eo={}){return[commitCharacters,completionState,completionConfig.of(eo),completionPlugin,completionKeymapExt,baseTheme$3]}const completionKeymap=[{key:"Ctrl-Space",run:startCompletion},{key:"Escape",run:closeCompletion},{key:"ArrowDown",run:moveCompletionSelection(!0)},{key:"ArrowUp",run:moveCompletionSelection(!1)},{key:"PageDown",run:moveCompletionSelection(!0,"page")},{key:"PageUp",run:moveCompletionSelection(!1,"page")},{key:"Enter",run:acceptCompletion}],completionKeymapExt=Prec.highest(keymap.computeN([completionConfig],eo=>eo.facet(completionConfig).defaultKeymap?[completionKeymap]:[]));var define_process_env_default={};class Stack{constructor(to,ro,no,oo,io,so,ao,lo,uo,co=0,fo){this.p=to,this.stack=ro,this.state=no,this.reducePos=oo,this.pos=io,this.score=so,this.buffer=ao,this.bufferBase=lo,this.curContext=uo,this.lookAhead=co,this.parent=fo}toString(){return`[${this.stack.filter((to,ro)=>ro%3==0).concat(this.state)}]@${this.pos}${this.score?"!"+this.score:""}`}static start(to,ro,no=0){let oo=to.parser.context;return new Stack(to,[],ro,no,no,0,[],0,oo?new StackContext(oo,oo.start):null,0,null)}get context(){return this.curContext?this.curContext.context:null}pushState(to,ro){this.stack.push(this.state,ro,this.bufferBase+this.buffer.length),this.state=to}reduce(to){var ro;let no=to>>19,oo=to&65535,{parser:io}=this.p,so=io.dynamicPrecedence(oo);if(so&&(this.score+=so),no==0){this.pushState(io.getGoto(this.state,oo,!0),this.reducePos),oo<io.minRepeatTerm&&this.storeNode(oo,this.reducePos,this.reducePos,4,!0),this.reduceContext(oo,this.reducePos);return}let ao=this.stack.length-(no-1)*3-(to&262144?6:0),lo=ao?this.stack[ao-2]:this.p.ranges[0].from,uo=this.reducePos-lo;uo>=2e3&&!(!((ro=this.p.parser.nodeSet.types[oo])===null||ro===void 0)&&ro.isAnonymous)&&(lo==this.p.lastBigReductionStart?(this.p.bigReductionCount++,this.p.lastBigReductionSize=uo):this.p.lastBigReductionSize<uo&&(this.p.bigReductionCount=1,this.p.lastBigReductionStart=lo,this.p.lastBigReductionSize=uo));let co=ao?this.stack[ao-1]:0,fo=this.bufferBase+this.buffer.length-co;if(oo<io.minRepeatTerm||to&131072){let ho=io.stateFlag(this.state,1)?this.pos:this.reducePos;this.storeNode(oo,lo,ho,fo+4,!0)}if(to&262144)this.state=this.stack[ao];else{let ho=this.stack[ao-3];this.state=io.getGoto(ho,oo,!0)}for(;this.stack.length>ao;)this.stack.pop();this.reduceContext(oo,lo)}storeNode(to,ro,no,oo=4,io=!1){if(to==0&&(!this.stack.length||this.stack[this.stack.length-1]<this.buffer.length+this.bufferBase)){let so=this,ao=this.buffer.length;if(ao==0&&so.parent&&(ao=so.bufferBase-so.parent.bufferBase,so=so.parent),ao>0&&so.buffer[ao-4]==0&&so.buffer[ao-1]>-1){if(ro==no)return;if(so.buffer[ao-2]>=ro){so.buffer[ao-2]=no;return}}}if(!io||this.pos==no)this.buffer.push(to,ro,no,oo);else{let so=this.buffer.length;if(so>0&&this.buffer[so-4]!=0)for(;so>0&&this.buffer[so-2]>no;)this.buffer[so]=this.buffer[so-4],this.buffer[so+1]=this.buffer[so-3],this.buffer[so+2]=this.buffer[so-2],this.buffer[so+3]=this.buffer[so-1],so-=4,oo>4&&(oo-=4);this.buffer[so]=to,this.buffer[so+1]=ro,this.buffer[so+2]=no,this.buffer[so+3]=oo}}shift(to,ro,no,oo){if(to&131072)this.pushState(to&65535,this.pos);else if(to&262144)this.pos=oo,this.shiftContext(ro,no),ro<=this.p.parser.maxNode&&this.buffer.push(ro,no,oo,4);else{let io=to,{parser:so}=this.p;(oo>this.pos||ro<=so.maxNode)&&(this.pos=oo,so.stateFlag(io,1)||(this.reducePos=oo)),this.pushState(io,no),this.shiftContext(ro,no),ro<=so.maxNode&&this.buffer.push(ro,no,oo,4)}}apply(to,ro,no,oo){to&65536?this.reduce(to):this.shift(to,ro,no,oo)}useNode(to,ro){let no=this.p.reused.length-1;(no<0||this.p.reused[no]!=to)&&(this.p.reused.push(to),no++);let oo=this.pos;this.reducePos=this.pos=oo+to.length,this.pushState(ro,oo),this.buffer.push(no,oo,this.reducePos,-1),this.curContext&&this.updateContext(this.curContext.tracker.reuse(this.curContext.context,to,this,this.p.stream.reset(this.pos-to.length)))}split(){let to=this,ro=to.buffer.length;for(;ro>0&&to.buffer[ro-2]>to.reducePos;)ro-=4;let no=to.buffer.slice(ro),oo=to.bufferBase+ro;for(;to&&oo==to.bufferBase;)to=to.parent;return new Stack(this.p,this.stack.slice(),this.state,this.reducePos,this.pos,this.score,no,oo,this.curContext,this.lookAhead,to)}recoverByDelete(to,ro){let no=to<=this.p.parser.maxNode;no&&this.storeNode(to,this.pos,ro,4),this.storeNode(0,this.pos,ro,no?8:4),this.pos=this.reducePos=ro,this.score-=190}canShift(to){for(let ro=new SimulatedStack(this);;){let no=this.p.parser.stateSlot(ro.state,4)||this.p.parser.hasAction(ro.state,to);if(no==0)return!1;if(!(no&65536))return!0;ro.reduce(no)}}recoverByInsert(to){if(this.stack.length>=300)return[];let ro=this.p.parser.nextStates(this.state);if(ro.length>8||this.stack.length>=120){let oo=[];for(let io=0,so;io<ro.length;io+=2)(so=ro[io+1])!=this.state&&this.p.parser.hasAction(so,to)&&oo.push(ro[io],so);if(this.stack.length<120)for(let io=0;oo.length<8&&io<ro.length;io+=2){let so=ro[io+1];oo.some((ao,lo)=>lo&1&&ao==so)||oo.push(ro[io],so)}ro=oo}let no=[];for(let oo=0;oo<ro.length&&no.length<4;oo+=2){let io=ro[oo+1];if(io==this.state)continue;let so=this.split();so.pushState(io,this.pos),so.storeNode(0,so.pos,so.pos,4,!0),so.shiftContext(ro[oo],this.pos),so.reducePos=this.pos,so.score-=200,no.push(so)}return no}forceReduce(){let{parser:to}=this.p,ro=to.stateSlot(this.state,5);if(!(ro&65536))return!1;if(!to.validAction(this.state,ro)){let no=ro>>19,oo=ro&65535,io=this.stack.length-no*3;if(io<0||to.getGoto(this.stack[io],oo,!1)<0){let so=this.findForcedReduction();if(so==null)return!1;ro=so}this.storeNode(0,this.pos,this.pos,4,!0),this.score-=100}return this.reducePos=this.pos,this.reduce(ro),!0}findForcedReduction(){let{parser:to}=this.p,ro=[],no=(oo,io)=>{if(!ro.includes(oo))return ro.push(oo),to.allActions(oo,so=>{if(!(so&393216))if(so&65536){let ao=(so>>19)-io;if(ao>1){let lo=so&65535,uo=this.stack.length-ao*3;if(uo>=0&&to.getGoto(this.stack[uo],lo,!1)>=0)return ao<<19|65536|lo}}else{let ao=no(so,io+1);if(ao!=null)return ao}})};return no(this.state,0)}forceAll(){for(;!this.p.parser.stateFlag(this.state,2);)if(!this.forceReduce()){this.storeNode(0,this.pos,this.pos,4,!0);break}return this}get deadEnd(){if(this.stack.length!=3)return!1;let{parser:to}=this.p;return to.data[to.stateSlot(this.state,1)]==65535&&!to.stateSlot(this.state,4)}restart(){this.storeNode(0,this.pos,this.pos,4,!0),this.state=this.stack[0],this.stack.length=0}sameState(to){if(this.state!=to.state||this.stack.length!=to.stack.length)return!1;for(let ro=0;ro<this.stack.length;ro+=3)if(this.stack[ro]!=to.stack[ro])return!1;return!0}get parser(){return this.p.parser}dialectEnabled(to){return this.p.parser.dialect.flags[to]}shiftContext(to,ro){this.curContext&&this.updateContext(this.curContext.tracker.shift(this.curContext.context,to,this,this.p.stream.reset(ro)))}reduceContext(to,ro){this.curContext&&this.updateContext(this.curContext.tracker.reduce(this.curContext.context,to,this,this.p.stream.reset(ro)))}emitContext(){let to=this.buffer.length-1;(to<0||this.buffer[to]!=-3)&&this.buffer.push(this.curContext.hash,this.pos,this.pos,-3)}emitLookAhead(){let to=this.buffer.length-1;(to<0||this.buffer[to]!=-4)&&this.buffer.push(this.lookAhead,this.pos,this.pos,-4)}updateContext(to){if(to!=this.curContext.context){let ro=new StackContext(this.curContext.tracker,to);ro.hash!=this.curContext.hash&&this.emitContext(),this.curContext=ro}}setLookAhead(to){to>this.lookAhead&&(this.emitLookAhead(),this.lookAhead=to)}close(){this.curContext&&this.curContext.tracker.strict&&this.emitContext(),this.lookAhead>0&&this.emitLookAhead()}}class StackContext{constructor(to,ro){this.tracker=to,this.context=ro,this.hash=to.strict?to.hash(ro):0}}class SimulatedStack{constructor(to){this.start=to,this.state=to.state,this.stack=to.stack,this.base=this.stack.length}reduce(to){let ro=to&65535,no=to>>19;no==0?(this.stack==this.start.stack&&(this.stack=this.stack.slice()),this.stack.push(this.state,0,0),this.base+=3):this.base-=(no-1)*3;let oo=this.start.p.parser.getGoto(this.stack[this.base-3],ro,!0);this.state=oo}}class StackBufferCursor{constructor(to,ro,no){this.stack=to,this.pos=ro,this.index=no,this.buffer=to.buffer,this.index==0&&this.maybeNext()}static create(to,ro=to.bufferBase+to.buffer.length){return new StackBufferCursor(to,ro,ro-to.bufferBase)}maybeNext(){let to=this.stack.parent;to!=null&&(this.index=this.stack.bufferBase-to.bufferBase,this.stack=to,this.buffer=to.buffer)}get id(){return this.buffer[this.index-4]}get start(){return this.buffer[this.index-3]}get end(){return this.buffer[this.index-2]}get size(){return this.buffer[this.index-1]}next(){this.index-=4,this.pos-=4,this.index==0&&this.maybeNext()}fork(){return new StackBufferCursor(this.stack,this.pos,this.index)}}function decodeArray(eo,to=Uint16Array){if(typeof eo!="string")return eo;let ro=null;for(let no=0,oo=0;no<eo.length;){let io=0;for(;;){let so=eo.charCodeAt(no++),ao=!1;if(so==126){io=65535;break}so>=92&&so--,so>=34&&so--;let lo=so-32;if(lo>=46&&(lo-=46,ao=!0),io+=lo,ao)break;io*=46}ro?ro[oo++]=io:ro=new to(io)}return ro}class CachedToken{constructor(){this.start=-1,this.value=-1,this.end=-1,this.extended=-1,this.lookAhead=0,this.mask=0,this.context=0}}const nullToken=new CachedToken;class InputStream{constructor(to,ro){this.input=to,this.ranges=ro,this.chunk="",this.chunkOff=0,this.chunk2="",this.chunk2Pos=0,this.next=-1,this.token=nullToken,this.rangeIndex=0,this.pos=this.chunkPos=ro[0].from,this.range=ro[0],this.end=ro[ro.length-1].to,this.readNext()}resolveOffset(to,ro){let no=this.range,oo=this.rangeIndex,io=this.pos+to;for(;io<no.from;){if(!oo)return null;let so=this.ranges[--oo];io-=no.from-so.to,no=so}for(;ro<0?io>no.to:io>=no.to;){if(oo==this.ranges.length-1)return null;let so=this.ranges[++oo];io+=so.from-no.to,no=so}return io}clipPos(to){if(to>=this.range.from&&to<this.range.to)return to;for(let ro of this.ranges)if(ro.to>to)return Math.max(to,ro.from);return this.end}peek(to){let ro=this.chunkOff+to,no,oo;if(ro>=0&&ro<this.chunk.length)no=this.pos+to,oo=this.chunk.charCodeAt(ro);else{let io=this.resolveOffset(to,1);if(io==null)return-1;if(no=io,no>=this.chunk2Pos&&no<this.chunk2Pos+this.chunk2.length)oo=this.chunk2.charCodeAt(no-this.chunk2Pos);else{let so=this.rangeIndex,ao=this.range;for(;ao.to<=no;)ao=this.ranges[++so];this.chunk2=this.input.chunk(this.chunk2Pos=no),no+this.chunk2.length>ao.to&&(this.chunk2=this.chunk2.slice(0,ao.to-no)),oo=this.chunk2.charCodeAt(0)}}return no>=this.token.lookAhead&&(this.token.lookAhead=no+1),oo}acceptToken(to,ro=0){let no=ro?this.resolveOffset(ro,-1):this.pos;if(no==null||no<this.token.start)throw new RangeError("Token end out of bounds");this.token.value=to,this.token.end=no}acceptTokenTo(to,ro){this.token.value=to,this.token.end=ro}getChunk(){if(this.pos>=this.chunk2Pos&&this.pos<this.chunk2Pos+this.chunk2.length){let{chunk:to,chunkPos:ro}=this;this.chunk=this.chunk2,this.chunkPos=this.chunk2Pos,this.chunk2=to,this.chunk2Pos=ro,this.chunkOff=this.pos-this.chunkPos}else{this.chunk2=this.chunk,this.chunk2Pos=this.chunkPos;let to=this.input.chunk(this.pos),ro=this.pos+to.length;this.chunk=ro>this.range.to?to.slice(0,this.range.to-this.pos):to,this.chunkPos=this.pos,this.chunkOff=0}}readNext(){return this.chunkOff>=this.chunk.length&&(this.getChunk(),this.chunkOff==this.chunk.length)?this.next=-1:this.next=this.chunk.charCodeAt(this.chunkOff)}advance(to=1){for(this.chunkOff+=to;this.pos+to>=this.range.to;){if(this.rangeIndex==this.ranges.length-1)return this.setDone();to-=this.range.to-this.pos,this.range=this.ranges[++this.rangeIndex],this.pos=this.range.from}return this.pos+=to,this.pos>=this.token.lookAhead&&(this.token.lookAhead=this.pos+1),this.readNext()}setDone(){return this.pos=this.chunkPos=this.end,this.range=this.ranges[this.rangeIndex=this.ranges.length-1],this.chunk="",this.next=-1}reset(to,ro){if(ro?(this.token=ro,ro.start=to,ro.lookAhead=to+1,ro.value=ro.extended=-1):this.token=nullToken,this.pos!=to){if(this.pos=to,to==this.end)return this.setDone(),this;for(;to<this.range.from;)this.range=this.ranges[--this.rangeIndex];for(;to>=this.range.to;)this.range=this.ranges[++this.rangeIndex];to>=this.chunkPos&&to<this.chunkPos+this.chunk.length?this.chunkOff=to-this.chunkPos:(this.chunk="",this.chunkOff=0),this.readNext()}return this}read(to,ro){if(to>=this.chunkPos&&ro<=this.chunkPos+this.chunk.length)return this.chunk.slice(to-this.chunkPos,ro-this.chunkPos);if(to>=this.chunk2Pos&&ro<=this.chunk2Pos+this.chunk2.length)return this.chunk2.slice(to-this.chunk2Pos,ro-this.chunk2Pos);if(to>=this.range.from&&ro<=this.range.to)return this.input.read(to,ro);let no="";for(let oo of this.ranges){if(oo.from>=ro)break;oo.to>to&&(no+=this.input.read(Math.max(oo.from,to),Math.min(oo.to,ro)))}return no}}class TokenGroup{constructor(to,ro){this.data=to,this.id=ro}token(to,ro){let{parser:no}=ro.p;readToken(this.data,to,ro,this.id,no.data,no.tokenPrecTable)}}TokenGroup.prototype.contextual=TokenGroup.prototype.fallback=TokenGroup.prototype.extend=!1;TokenGroup.prototype.fallback=TokenGroup.prototype.extend=!1;class ExternalTokenizer{constructor(to,ro={}){this.token=to,this.contextual=!!ro.contextual,this.fallback=!!ro.fallback,this.extend=!!ro.extend}}function readToken(eo,to,ro,no,oo,io){let so=0,ao=1<<no,{dialect:lo}=ro.p.parser;e:for(;ao&eo[so];){let uo=eo[so+1];for(let po=so+3;po<uo;po+=2)if((eo[po+1]&ao)>0){let go=eo[po];if(lo.allows(go)&&(to.token.value==-1||to.token.value==go||overrides(go,to.token.value,oo,io))){to.acceptToken(go);break}}let co=to.next,fo=0,ho=eo[so+2];if(to.next<0&&ho>fo&&eo[uo+ho*3-3]==65535){so=eo[uo+ho*3-1];continue e}for(;fo<ho;){let po=fo+ho>>1,go=uo+po+(po<<1),vo=eo[go],bo=eo[go+1]||65536;if(co<vo)ho=po;else if(co>=bo)fo=po+1;else{so=eo[go+2],to.advance();continue e}}break}}function findOffset(eo,to,ro){for(let no=to,oo;(oo=eo[no])!=65535;no++)if(oo==ro)return no-to;return-1}function overrides(eo,to,ro,no){let oo=findOffset(ro,no,to);return oo<0||findOffset(ro,no,eo)<oo}const verbose=typeof process<"u"&&define_process_env_default&&/\bparse\b/.test(define_process_env_default.LOG);let stackIDs=null;function cutAt(eo,to,ro){let no=eo.cursor(IterMode.IncludeAnonymous);for(no.moveTo(to);;)if(!(ro<0?no.childBefore(to):no.childAfter(to)))for(;;){if((ro<0?no.to<to:no.from>to)&&!no.type.isError)return ro<0?Math.max(0,Math.min(no.to-1,to-25)):Math.min(eo.length,Math.max(no.from+1,to+25));if(ro<0?no.prevSibling():no.nextSibling())break;if(!no.parent())return ro<0?0:eo.length}}class FragmentCursor{constructor(to,ro){this.fragments=to,this.nodeSet=ro,this.i=0,this.fragment=null,this.safeFrom=-1,this.safeTo=-1,this.trees=[],this.start=[],this.index=[],this.nextFragment()}nextFragment(){let to=this.fragment=this.i==this.fragments.length?null:this.fragments[this.i++];if(to){for(this.safeFrom=to.openStart?cutAt(to.tree,to.from+to.offset,1)-to.offset:to.from,this.safeTo=to.openEnd?cutAt(to.tree,to.to+to.offset,-1)-to.offset:to.to;this.trees.length;)this.trees.pop(),this.start.pop(),this.index.pop();this.trees.push(to.tree),this.start.push(-to.offset),this.index.push(0),this.nextStart=this.safeFrom}else this.nextStart=1e9}nodeAt(to){if(to<this.nextStart)return null;for(;this.fragment&&this.safeTo<=to;)this.nextFragment();if(!this.fragment)return null;for(;;){let ro=this.trees.length-1;if(ro<0)return this.nextFragment(),null;let no=this.trees[ro],oo=this.index[ro];if(oo==no.children.length){this.trees.pop(),this.start.pop(),this.index.pop();continue}let io=no.children[oo],so=this.start[ro]+no.positions[oo];if(so>to)return this.nextStart=so,null;if(io instanceof Tree){if(so==to){if(so<this.safeFrom)return null;let ao=so+io.length;if(ao<=this.safeTo){let lo=io.prop(NodeProp.lookAhead);if(!lo||ao+lo<this.fragment.to)return io}}this.index[ro]++,so+io.length>=Math.max(this.safeFrom,to)&&(this.trees.push(io),this.start.push(so),this.index.push(0))}else this.index[ro]++,this.nextStart=so+io.length}}}class TokenCache{constructor(to,ro){this.stream=ro,this.tokens=[],this.mainToken=null,this.actions=[],this.tokens=to.tokenizers.map(no=>new CachedToken)}getActions(to){let ro=0,no=null,{parser:oo}=to.p,{tokenizers:io}=oo,so=oo.stateSlot(to.state,3),ao=to.curContext?to.curContext.hash:0,lo=0;for(let uo=0;uo<io.length;uo++){if(!(1<<uo&so))continue;let co=io[uo],fo=this.tokens[uo];if(!(no&&!co.fallback)&&((co.contextual||fo.start!=to.pos||fo.mask!=so||fo.context!=ao)&&(this.updateCachedToken(fo,co,to),fo.mask=so,fo.context=ao),fo.lookAhead>fo.end+25&&(lo=Math.max(fo.lookAhead,lo)),fo.value!=0)){let ho=ro;if(fo.extended>-1&&(ro=this.addActions(to,fo.extended,fo.end,ro)),ro=this.addActions(to,fo.value,fo.end,ro),!co.extend&&(no=fo,ro>ho))break}}for(;this.actions.length>ro;)this.actions.pop();return lo&&to.setLookAhead(lo),!no&&to.pos==this.stream.end&&(no=new CachedToken,no.value=to.p.parser.eofTerm,no.start=no.end=to.pos,ro=this.addActions(to,no.value,no.end,ro)),this.mainToken=no,this.actions}getMainToken(to){if(this.mainToken)return this.mainToken;let ro=new CachedToken,{pos:no,p:oo}=to;return ro.start=no,ro.end=Math.min(no+1,oo.stream.end),ro.value=no==oo.stream.end?oo.parser.eofTerm:0,ro}updateCachedToken(to,ro,no){let oo=this.stream.clipPos(no.pos);if(ro.token(this.stream.reset(oo,to),no),to.value>-1){let{parser:io}=no.p;for(let so=0;so<io.specialized.length;so++)if(io.specialized[so]==to.value){let ao=io.specializers[so](this.stream.read(to.start,to.end),no);if(ao>=0&&no.p.parser.dialect.allows(ao>>1)){ao&1?to.extended=ao>>1:to.value=ao>>1;break}}}else to.value=0,to.end=this.stream.clipPos(oo+1)}putAction(to,ro,no,oo){for(let io=0;io<oo;io+=3)if(this.actions[io]==to)return oo;return this.actions[oo++]=to,this.actions[oo++]=ro,this.actions[oo++]=no,oo}addActions(to,ro,no,oo){let{state:io}=to,{parser:so}=to.p,{data:ao}=so;for(let lo=0;lo<2;lo++)for(let uo=so.stateSlot(io,lo?2:1);;uo+=3){if(ao[uo]==65535)if(ao[uo+1]==1)uo=pair(ao,uo+2);else{oo==0&&ao[uo+1]==2&&(oo=this.putAction(pair(ao,uo+2),ro,no,oo));break}ao[uo]==ro&&(oo=this.putAction(pair(ao,uo+1),ro,no,oo))}return oo}}class Parse{constructor(to,ro,no,oo){this.parser=to,this.input=ro,this.ranges=oo,this.recovering=0,this.nextStackID=9812,this.minStackPos=0,this.reused=[],this.stoppedAt=null,this.lastBigReductionStart=-1,this.lastBigReductionSize=0,this.bigReductionCount=0,this.stream=new InputStream(ro,oo),this.tokens=new TokenCache(to,this.stream),this.topTerm=to.top[1];let{from:io}=oo[0];this.stacks=[Stack.start(this,to.top[0],io)],this.fragments=no.length&&this.stream.end-io>to.bufferLength*4?new FragmentCursor(no,to.nodeSet):null}get parsedPos(){return this.minStackPos}advance(){let to=this.stacks,ro=this.minStackPos,no=this.stacks=[],oo,io;if(this.bigReductionCount>300&&to.length==1){let[so]=to;for(;so.forceReduce()&&so.stack.length&&so.stack[so.stack.length-2]>=this.lastBigReductionStart;);this.bigReductionCount=this.lastBigReductionSize=0}for(let so=0;so<to.length;so++){let ao=to[so];for(;;){if(this.tokens.mainToken=null,ao.pos>ro)no.push(ao);else{if(this.advanceStack(ao,no,to))continue;{oo||(oo=[],io=[]),oo.push(ao);let lo=this.tokens.getMainToken(ao);io.push(lo.value,lo.end)}}break}}if(!no.length){let so=oo&&findFinished(oo);if(so)return verbose&&console.log("Finish with "+this.stackID(so)),this.stackToTree(so);if(this.parser.strict)throw verbose&&oo&&console.log("Stuck with token "+(this.tokens.mainToken?this.parser.getName(this.tokens.mainToken.value):"none")),new SyntaxError("No parse at "+ro);this.recovering||(this.recovering=5)}if(this.recovering&&oo){let so=this.stoppedAt!=null&&oo[0].pos>this.stoppedAt?oo[0]:this.runRecovery(oo,io,no);if(so)return verbose&&console.log("Force-finish "+this.stackID(so)),this.stackToTree(so.forceAll())}if(this.recovering){let so=this.recovering==1?1:this.recovering*3;if(no.length>so)for(no.sort((ao,lo)=>lo.score-ao.score);no.length>so;)no.pop();no.some(ao=>ao.reducePos>ro)&&this.recovering--}else if(no.length>1){e:for(let so=0;so<no.length-1;so++){let ao=no[so];for(let lo=so+1;lo<no.length;lo++){let uo=no[lo];if(ao.sameState(uo)||ao.buffer.length>500&&uo.buffer.length>500)if((ao.score-uo.score||ao.buffer.length-uo.buffer.length)>0)no.splice(lo--,1);else{no.splice(so--,1);continue e}}}no.length>12&&no.splice(12,no.length-12)}this.minStackPos=no[0].pos;for(let so=1;so<no.length;so++)no[so].pos<this.minStackPos&&(this.minStackPos=no[so].pos);return null}stopAt(to){if(this.stoppedAt!=null&&this.stoppedAt<to)throw new RangeError("Can't move stoppedAt forward");this.stoppedAt=to}advanceStack(to,ro,no){let oo=to.pos,{parser:io}=this,so=verbose?this.stackID(to)+" -> ":"";if(this.stoppedAt!=null&&oo>this.stoppedAt)return to.forceReduce()?to:null;if(this.fragments){let uo=to.curContext&&to.curContext.tracker.strict,co=uo?to.curContext.hash:0;for(let fo=this.fragments.nodeAt(oo);fo;){let ho=this.parser.nodeSet.types[fo.type.id]==fo.type?io.getGoto(to.state,fo.type.id):-1;if(ho>-1&&fo.length&&(!uo||(fo.prop(NodeProp.contextHash)||0)==co))return to.useNode(fo,ho),verbose&&console.log(so+this.stackID(to)+` (via reuse of ${io.getName(fo.type.id)})`),!0;if(!(fo instanceof Tree)||fo.children.length==0||fo.positions[0]>0)break;let po=fo.children[0];if(po instanceof Tree&&fo.positions[0]==0)fo=po;else break}}let ao=io.stateSlot(to.state,4);if(ao>0)return to.reduce(ao),verbose&&console.log(so+this.stackID(to)+` (via always-reduce ${io.getName(ao&65535)})`),!0;if(to.stack.length>=8400)for(;to.stack.length>6e3&&to.forceReduce(););let lo=this.tokens.getActions(to);for(let uo=0;uo<lo.length;){let co=lo[uo++],fo=lo[uo++],ho=lo[uo++],po=uo==lo.length||!no,go=po?to:to.split(),vo=this.tokens.mainToken;if(go.apply(co,fo,vo?vo.start:go.pos,ho),verbose&&console.log(so+this.stackID(go)+` (via ${co&65536?`reduce of ${io.getName(co&65535)}`:"shift"} for ${io.getName(fo)} @ ${oo}${go==to?"":", split"})`),po)return!0;go.pos>oo?ro.push(go):no.push(go)}return!1}advanceFully(to,ro){let no=to.pos;for(;;){if(!this.advanceStack(to,null,null))return!1;if(to.pos>no)return pushStackDedup(to,ro),!0}}runRecovery(to,ro,no){let oo=null,io=!1;for(let so=0;so<to.length;so++){let ao=to[so],lo=ro[so<<1],uo=ro[(so<<1)+1],co=verbose?this.stackID(ao)+" -> ":"";if(ao.deadEnd&&(io||(io=!0,ao.restart(),verbose&&console.log(co+this.stackID(ao)+" (restarted)"),this.advanceFully(ao,no))))continue;let fo=ao.split(),ho=co;for(let po=0;fo.forceReduce()&&po<10&&(verbose&&console.log(ho+this.stackID(fo)+" (via force-reduce)"),!this.advanceFully(fo,no));po++)verbose&&(ho=this.stackID(fo)+" -> ");for(let po of ao.recoverByInsert(lo))verbose&&console.log(co+this.stackID(po)+" (via recover-insert)"),this.advanceFully(po,no);this.stream.end>ao.pos?(uo==ao.pos&&(uo++,lo=0),ao.recoverByDelete(lo,uo),verbose&&console.log(co+this.stackID(ao)+` (via recover-delete ${this.parser.getName(lo)})`),pushStackDedup(ao,no)):(!oo||oo.score<ao.score)&&(oo=ao)}return oo}stackToTree(to){return to.close(),Tree.build({buffer:StackBufferCursor.create(to),nodeSet:this.parser.nodeSet,topID:this.topTerm,maxBufferLength:this.parser.bufferLength,reused:this.reused,start:this.ranges[0].from,length:to.pos-this.ranges[0].from,minRepeatType:this.parser.minRepeatTerm})}stackID(to){let ro=(stackIDs||(stackIDs=new WeakMap)).get(to);return ro||stackIDs.set(to,ro=String.fromCodePoint(this.nextStackID++)),ro+to}}function pushStackDedup(eo,to){for(let ro=0;ro<to.length;ro++){let no=to[ro];if(no.pos==eo.pos&&no.sameState(eo)){to[ro].score<eo.score&&(to[ro]=eo);return}}to.push(eo)}class Dialect{constructor(to,ro,no){this.source=to,this.flags=ro,this.disabled=no}allows(to){return!this.disabled||this.disabled[to]==0}}const id=eo=>eo;class ContextTracker{constructor(to){this.start=to.start,this.shift=to.shift||id,this.reduce=to.reduce||id,this.reuse=to.reuse||id,this.hash=to.hash||(()=>0),this.strict=to.strict!==!1}}class LRParser extends Parser{constructor(to){if(super(),this.wrappers=[],to.version!=14)throw new RangeError(`Parser version (${to.version}) doesn't match runtime version (14)`);let ro=to.nodeNames.split(" ");this.minRepeatTerm=ro.length;for(let ao=0;ao<to.repeatNodeCount;ao++)ro.push("");let no=Object.keys(to.topRules).map(ao=>to.topRules[ao][1]),oo=[];for(let ao=0;ao<ro.length;ao++)oo.push([]);function io(ao,lo,uo){oo[ao].push([lo,lo.deserialize(String(uo))])}if(to.nodeProps)for(let ao of to.nodeProps){let lo=ao[0];typeof lo=="string"&&(lo=NodeProp[lo]);for(let uo=1;uo<ao.length;){let co=ao[uo++];if(co>=0)io(co,lo,ao[uo++]);else{let fo=ao[uo+-co];for(let ho=-co;ho>0;ho--)io(ao[uo++],lo,fo);uo++}}}this.nodeSet=new NodeSet(ro.map((ao,lo)=>NodeType.define({name:lo>=this.minRepeatTerm?void 0:ao,id:lo,props:oo[lo],top:no.indexOf(lo)>-1,error:lo==0,skipped:to.skippedNodes&&to.skippedNodes.indexOf(lo)>-1}))),to.propSources&&(this.nodeSet=this.nodeSet.extend(...to.propSources)),this.strict=!1,this.bufferLength=DefaultBufferLength;let so=decodeArray(to.tokenData);this.context=to.context,this.specializerSpecs=to.specialized||[],this.specialized=new Uint16Array(this.specializerSpecs.length);for(let ao=0;ao<this.specializerSpecs.length;ao++)this.specialized[ao]=this.specializerSpecs[ao].term;this.specializers=this.specializerSpecs.map(getSpecializer),this.states=decodeArray(to.states,Uint32Array),this.data=decodeArray(to.stateData),this.goto=decodeArray(to.goto),this.maxTerm=to.maxTerm,this.tokenizers=to.tokenizers.map(ao=>typeof ao=="number"?new TokenGroup(so,ao):ao),this.topRules=to.topRules,this.dialects=to.dialects||{},this.dynamicPrecedences=to.dynamicPrecedences||null,this.tokenPrecTable=to.tokenPrec,this.termNames=to.termNames||null,this.maxNode=this.nodeSet.types.length-1,this.dialect=this.parseDialect(),this.top=this.topRules[Object.keys(this.topRules)[0]]}createParse(to,ro,no){let oo=new Parse(this,to,ro,no);for(let io of this.wrappers)oo=io(oo,to,ro,no);return oo}getGoto(to,ro,no=!1){let oo=this.goto;if(ro>=oo[0])return-1;for(let io=oo[ro+1];;){let so=oo[io++],ao=so&1,lo=oo[io++];if(ao&&no)return lo;for(let uo=io+(so>>1);io<uo;io++)if(oo[io]==to)return lo;if(ao)return-1}}hasAction(to,ro){let no=this.data;for(let oo=0;oo<2;oo++)for(let io=this.stateSlot(to,oo?2:1),so;;io+=3){if((so=no[io])==65535)if(no[io+1]==1)so=no[io=pair(no,io+2)];else{if(no[io+1]==2)return pair(no,io+2);break}if(so==ro||so==0)return pair(no,io+1)}return 0}stateSlot(to,ro){return this.states[to*6+ro]}stateFlag(to,ro){return(this.stateSlot(to,0)&ro)>0}validAction(to,ro){return!!this.allActions(to,no=>no==ro?!0:null)}allActions(to,ro){let no=this.stateSlot(to,4),oo=no?ro(no):void 0;for(let io=this.stateSlot(to,1);oo==null;io+=3){if(this.data[io]==65535)if(this.data[io+1]==1)io=pair(this.data,io+2);else break;oo=ro(pair(this.data,io+1))}return oo}nextStates(to){let ro=[];for(let no=this.stateSlot(to,1);;no+=3){if(this.data[no]==65535)if(this.data[no+1]==1)no=pair(this.data,no+2);else break;if(!(this.data[no+2]&1)){let oo=this.data[no+1];ro.some((io,so)=>so&1&&io==oo)||ro.push(this.data[no],oo)}}return ro}configure(to){let ro=Object.assign(Object.create(LRParser.prototype),this);if(to.props&&(ro.nodeSet=this.nodeSet.extend(...to.props)),to.top){let no=this.topRules[to.top];if(!no)throw new RangeError(`Invalid top rule name ${to.top}`);ro.top=no}return to.tokenizers&&(ro.tokenizers=this.tokenizers.map(no=>{let oo=to.tokenizers.find(io=>io.from==no);return oo?oo.to:no})),to.specializers&&(ro.specializers=this.specializers.slice(),ro.specializerSpecs=this.specializerSpecs.map((no,oo)=>{let io=to.specializers.find(ao=>ao.from==no.external);if(!io)return no;let so=Object.assign(Object.assign({},no),{external:io.to});return ro.specializers[oo]=getSpecializer(so),so})),to.contextTracker&&(ro.context=to.contextTracker),to.dialect&&(ro.dialect=this.parseDialect(to.dialect)),to.strict!=null&&(ro.strict=to.strict),to.wrap&&(ro.wrappers=ro.wrappers.concat(to.wrap)),to.bufferLength!=null&&(ro.bufferLength=to.bufferLength),ro}hasWrappers(){return this.wrappers.length>0}getName(to){return this.termNames?this.termNames[to]:String(to<=this.maxNode&&this.nodeSet.types[to].name||to)}get eofTerm(){return this.maxNode+1}get topNode(){return this.nodeSet.types[this.top[1]]}dynamicPrecedence(to){let ro=this.dynamicPrecedences;return ro==null?0:ro[to]||0}parseDialect(to){let ro=Object.keys(this.dialects),no=ro.map(()=>!1);if(to)for(let io of to.split(" ")){let so=ro.indexOf(io);so>=0&&(no[so]=!0)}let oo=null;for(let io=0;io<ro.length;io++)if(!no[io])for(let so=this.dialects[ro[io]],ao;(ao=this.data[so++])!=65535;)(oo||(oo=new Uint8Array(this.maxTerm+1)))[ao]=1;return new Dialect(to,no,oo)}static deserialize(to){return new LRParser(to)}}function pair(eo,to){return eo[to]|eo[to+1]<<16}function findFinished(eo){let to=null;for(let ro of eo){let no=ro.p.stoppedAt;(ro.pos==ro.p.stream.end||no!=null&&ro.pos>no)&&ro.p.parser.stateFlag(ro.state,2)&&(!to||to.score<ro.score)&&(to=ro)}return to}function getSpecializer(eo){if(eo.external){let to=eo.extend?1:0;return(ro,no)=>eo.external(ro,no)<<1|to}return eo.get}const printKeyword=1,indent=194,dedent=195,newline$1=196,blankLineStart=197,newlineBracketed=198,eof=199,stringContent=200,Escape=2,replacementStart=3,stringEnd=201,ParenL=24,ParenthesizedExpression=25,TupleExpression=49,ComprehensionExpression=50,BracketL=55,ArrayExpression=56,ArrayComprehensionExpression=57,BraceL=59,DictionaryExpression=60,DictionaryComprehensionExpression=61,SetExpression=62,SetComprehensionExpression=63,ArgList=65,subscript=238,String$1=71,stringStart=241,stringStartD=242,stringStartL=243,stringStartLD=244,stringStartR=245,stringStartRD=246,stringStartRL=247,stringStartRLD=248,FormatString=72,stringStartF=249,stringStartFD=250,stringStartFL=251,stringStartFLD=252,stringStartFR=253,stringStartFRD=254,stringStartFRL=255,stringStartFRLD=256,FormatReplacement=73,nestedFormatReplacement=77,importList=264,TypeParamList=112,ParamList=130,SequencePattern=151,MappingPattern=152,PatternArgList=155,newline=10,carriageReturn=13,space=32,tab=9,hash=35,parenOpen=40,dot=46,braceOpen=123,braceClose=125,singleQuote=39,doubleQuote=34,backslash=92,letter_o=111,letter_x=120,letter_N=78,letter_u=117,letter_U=85,bracketed=new Set([ParenthesizedExpression,TupleExpression,ComprehensionExpression,importList,ArgList,ParamList,ArrayExpression,ArrayComprehensionExpression,subscript,SetExpression,SetComprehensionExpression,FormatString,FormatReplacement,nestedFormatReplacement,DictionaryExpression,DictionaryComprehensionExpression,SequencePattern,MappingPattern,PatternArgList,TypeParamList]);function isLineBreak(eo){return eo==newline||eo==carriageReturn}function isHex(eo){return eo>=48&&eo<=57||eo>=65&&eo<=70||eo>=97&&eo<=102}const newlines=new ExternalTokenizer((eo,to)=>{let ro;if(eo.next<0)eo.acceptToken(eof);else if(to.context.flags&cx_Bracketed)isLineBreak(eo.next)&&eo.acceptToken(newlineBracketed,1);else if(((ro=eo.peek(-1))<0||isLineBreak(ro))&&to.canShift(blankLineStart)){let no=0;for(;eo.next==space||eo.next==tab;)eo.advance(),no++;(eo.next==newline||eo.next==carriageReturn||eo.next==hash)&&eo.acceptToken(blankLineStart,-no)}else isLineBreak(eo.next)&&eo.acceptToken(newline$1,1)},{contextual:!0}),indentation=new ExternalTokenizer((eo,to)=>{let ro=to.context;if(ro.flags)return;let no=eo.peek(-1);if(no==newline||no==carriageReturn){let oo=0,io=0;for(;;){if(eo.next==space)oo++;else if(eo.next==tab)oo+=8-oo%8;else break;eo.advance(),io++}oo!=ro.indent&&eo.next!=newline&&eo.next!=carriageReturn&&eo.next!=hash&&(oo<ro.indent?eo.acceptToken(dedent,-io):eo.acceptToken(indent))}}),cx_Bracketed=1,cx_String=2,cx_DoubleQuote=4,cx_Long=8,cx_Raw=16,cx_Format=32;function Context(eo,to,ro){this.parent=eo,this.indent=to,this.flags=ro,this.hash=(eo?eo.hash+eo.hash<<8:0)+to+(to<<4)+ro+(ro<<6)}const topIndent=new Context(null,0,0);function countIndent(eo){let to=0;for(let ro=0;ro<eo.length;ro++)to+=eo.charCodeAt(ro)==tab?8-to%8:1;return to}const stringFlags=new Map([[stringStart,0],[stringStartD,cx_DoubleQuote],[stringStartL,cx_Long],[stringStartLD,cx_Long|cx_DoubleQuote],[stringStartR,cx_Raw],[stringStartRD,cx_Raw|cx_DoubleQuote],[stringStartRL,cx_Raw|cx_Long],[stringStartRLD,cx_Raw|cx_Long|cx_DoubleQuote],[stringStartF,cx_Format],[stringStartFD,cx_Format|cx_DoubleQuote],[stringStartFL,cx_Format|cx_Long],[stringStartFLD,cx_Format|cx_Long|cx_DoubleQuote],[stringStartFR,cx_Format|cx_Raw],[stringStartFRD,cx_Format|cx_Raw|cx_DoubleQuote],[stringStartFRL,cx_Format|cx_Raw|cx_Long],[stringStartFRLD,cx_Format|cx_Raw|cx_Long|cx_DoubleQuote]].map(([eo,to])=>[eo,to|cx_String])),trackIndent=new ContextTracker({start:topIndent,reduce(eo,to,ro,no){return eo.flags&cx_Bracketed&&bracketed.has(to)||(to==String$1||to==FormatString)&&eo.flags&cx_String?eo.parent:eo},shift(eo,to,ro,no){return to==indent?new Context(eo,countIndent(no.read(no.pos,ro.pos)),0):to==dedent?eo.parent:to==ParenL||to==BracketL||to==BraceL||to==replacementStart?new Context(eo,0,cx_Bracketed):stringFlags.has(to)?new Context(eo,0,stringFlags.get(to)|eo.flags&cx_Bracketed):eo},hash(eo){return eo.hash}}),legacyPrint=new ExternalTokenizer(eo=>{for(let to=0;to<5;to++){if(eo.next!="print".charCodeAt(to))return;eo.advance()}if(!/\w/.test(String.fromCharCode(eo.next)))for(let to=0;;to++){let ro=eo.peek(to);if(!(ro==space||ro==tab)){ro!=parenOpen&&ro!=dot&&ro!=newline&&ro!=carriageReturn&&ro!=hash&&eo.acceptToken(printKeyword);return}}}),strings=new ExternalTokenizer((eo,to)=>{let{flags:ro}=to.context,no=ro&cx_DoubleQuote?doubleQuote:singleQuote,oo=(ro&cx_Long)>0,io=!(ro&cx_Raw),so=(ro&cx_Format)>0,ao=eo.pos;for(;!(eo.next<0);)if(so&&eo.next==braceOpen)if(eo.peek(1)==braceOpen)eo.advance(2);else{if(eo.pos==ao){eo.acceptToken(replacementStart,1);return}break}else if(io&&eo.next==backslash){if(eo.pos==ao){eo.advance();let lo=eo.next;lo>=0&&(eo.advance(),skipEscape(eo,lo)),eo.acceptToken(Escape);return}break}else if(eo.next==no&&(!oo||eo.peek(1)==no&&eo.peek(2)==no)){if(eo.pos==ao){eo.acceptToken(stringEnd,oo?3:1);return}break}else if(eo.next==newline){if(oo)eo.advance();else if(eo.pos==ao){eo.acceptToken(stringEnd);return}break}else eo.advance();eo.pos>ao&&eo.acceptToken(stringContent)});function skipEscape(eo,to){if(to==letter_o)for(let ro=0;ro<2&&eo.next>=48&&eo.next<=55;ro++)eo.advance();else if(to==letter_x)for(let ro=0;ro<2&&isHex(eo.next);ro++)eo.advance();else if(to==letter_u)for(let ro=0;ro<4&&isHex(eo.next);ro++)eo.advance();else if(to==letter_U)for(let ro=0;ro<8&&isHex(eo.next);ro++)eo.advance();else if(to==letter_N&&eo.next==braceOpen){for(eo.advance();eo.next>=0&&eo.next!=braceClose&&eo.next!=singleQuote&&eo.next!=doubleQuote&&eo.next!=newline;)eo.advance();eo.next==braceClose&&eo.advance()}}const pythonHighlighting=styleTags({'async "*" "**" FormatConversion FormatSpec':tags.modifier,"for while if elif else try except finally return raise break continue with pass assert await yield match case":tags.controlKeyword,"in not and or is del":tags.operatorKeyword,"from def class global nonlocal lambda":tags.definitionKeyword,import:tags.moduleKeyword,"with as print":tags.keyword,Boolean:tags.bool,None:tags.null,VariableName:tags.variableName,"CallExpression/VariableName":tags.function(tags.variableName),"FunctionDefinition/VariableName":tags.function(tags.definition(tags.variableName)),"ClassDefinition/VariableName":tags.definition(tags.className),PropertyName:tags.propertyName,"CallExpression/MemberExpression/PropertyName":tags.function(tags.propertyName),Comment:tags.lineComment,Number:tags.number,String:tags.string,FormatString:tags.special(tags.string),Escape:tags.escape,UpdateOp:tags.updateOperator,"ArithOp!":tags.arithmeticOperator,BitOp:tags.bitwiseOperator,CompareOp:tags.compareOperator,AssignOp:tags.definitionOperator,Ellipsis:tags.punctuation,At:tags.meta,"( )":tags.paren,"[ ]":tags.squareBracket,"{ }":tags.brace,".":tags.derefOperator,", 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print Escape { Comment Script AssignStatement * BinaryExpression BitOp BitOp BitOp BitOp ArithOp ArithOp @ ArithOp ** UnaryExpression ArithOp BitOp AwaitExpression await ) ( ParenthesizedExpression BinaryExpression or and CompareOp in not is UnaryExpression ConditionalExpression if else LambdaExpression lambda ParamList VariableName AssignOp , : NamedExpression AssignOp YieldExpression yield from TupleExpression ComprehensionExpression async for LambdaExpression ] [ ArrayExpression ArrayComprehensionExpression } { DictionaryExpression DictionaryComprehensionExpression SetExpression SetComprehensionExpression CallExpression ArgList AssignOp MemberExpression . 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uo},defaultSettingsVscodeDark={background:"#1e1e1e",foreground:"#9cdcfe",caret:"#c6c6c6",selection:"#6199ff2f",selectionMatch:"#72a1ff59",lineHighlight:"#ffffff0f",gutterBackground:"#1e1e1e",gutterForeground:"#838383",gutterActiveForeground:"#fff",fontFamily:'Menlo, Monaco, Consolas, "Andale Mono", "Ubuntu Mono", "Courier New", monospace'};function vscodeDarkInit(eo){var{theme:to="dark",settings:ro={},styles:no=[]}=eo||{};return createTheme({theme:to,settings:_extends$c({},defaultSettingsVscodeDark,ro),styles:[{tag:[tags.keyword,tags.operatorKeyword,tags.modifier,tags.color,tags.constant(tags.name),tags.standard(tags.name),tags.standard(tags.tagName),tags.special(tags.brace),tags.atom,tags.bool,tags.special(tags.variableName)],color:"#569cd6"},{tag:[tags.controlKeyword,tags.moduleKeyword],color:"#c586c0"},{tag:[tags.name,tags.deleted,tags.character,tags.macroName,tags.propertyName,tags.variableName,tags.labelName,tags.definition(tags.name)],color:"#9cdcfe"},{tag:tags.heading,fontWeight:"bold",color:"#9cdcfe"},{tag:[tags.typeName,tags.className,tags.tagName,tags.number,tags.changed,tags.annotation,tags.self,tags.namespace],color:"#4ec9b0"},{tag:[tags.function(tags.variableName),tags.function(tags.propertyName)],color:"#dcdcaa"},{tag:[tags.number],color:"#b5cea8"},{tag:[tags.operator,tags.punctuation,tags.separator,tags.url,tags.escape,tags.regexp],color:"#d4d4d4"},{tag:[tags.regexp],color:"#d16969"},{tag:[tags.special(tags.string),tags.processingInstruction,tags.string,tags.inserted],color:"#ce9178"},{tag:[tags.angleBracket],color:"#808080"},{tag:tags.strong,fontWeight:"bold"},{tag:tags.emphasis,fontStyle:"italic"},{tag:tags.strikethrough,textDecoration:"line-through"},{tag:[tags.meta,tags.comment],color:"#6a9955"},{tag:tags.link,color:"#6a9955",textDecoration:"underline"},{tag:tags.invalid,color:"#ff0000"},...no]})}var vscodeDark=vscodeDarkInit();function _extends(){return _extends=Object.assign?Object.assign.bind():function(eo){for(var to=1;to<arguments.length;to++){var ro=arguments[to];for(var no in ro)Object.prototype.hasOwnProperty.call(ro,no)&&(eo[no]=ro[no])}return eo},_extends.apply(this,arguments)}function _objectWithoutPropertiesLoose(eo,to){if(eo==null)return{};var ro={},no=Object.keys(eo),oo,io;for(io=0;io<no.length;io++)oo=no[io],!(to.indexOf(oo)>=0)&&(ro[oo]=eo[oo]);return ro}const toggleComment=eo=>{let{state:to}=eo,ro=to.doc.lineAt(to.selection.main.from),no=getConfig(eo.state,ro.from);return no.line?toggleLineComment(eo):no.block?toggleBlockCommentByLine(eo):!1};function command(eo,to){return({state:ro,dispatch:no})=>{if(ro.readOnly)return!1;let oo=eo(to,ro);return oo?(no(ro.update(oo)),!0):!1}}const 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co.slice(ho,ho+to.length)==to&&fo.slice(go,go+ro.length)==ro?{open:{pos:no+ho+to.length,margin:/\s/.test(co.charAt(ho+to.length))?1:0},close:{pos:oo-po-ro.length,margin:/\s/.test(fo.charAt(go-1))?1:0}}:null}function selectedLineRanges(eo){let to=[];for(let ro of eo.selection.ranges){let no=eo.doc.lineAt(ro.from),oo=ro.to<=no.to?no:eo.doc.lineAt(ro.to),io=to.length-1;io>=0&&to[io].to>no.from?to[io].to=oo.to:to.push({from:no.from+/^\s*/.exec(no.text)[0].length,to:oo.to})}return to}function changeBlockComment(eo,to,ro=to.selection.ranges){let no=ro.map(io=>getConfig(to,io.from).block);if(!no.every(io=>io))return null;let oo=ro.map((io,so)=>findBlockComment(to,no[so],io.from,io.to));if(eo!=2&&!oo.every(io=>io))return{changes:to.changes(ro.map((io,so)=>oo[so]?[]:[{from:io.from,insert:no[so].open+" "},{from:io.to,insert:" "+no[so].close}]))};if(eo!=1&&oo.some(io=>io)){let io=[];for(let so=0,ao;so<oo.length;so++)if(ao=oo[so]){let lo=no[so],{open:uo,close:co}=ao;io.push({from:uo.pos-lo.open.length,to:uo.pos+uo.margin},{from:co.pos-co.margin,to:co.pos+lo.close.length})}return{changes:io}}return null}function changeLineComment(eo,to,ro=to.selection.ranges){let no=[],oo=-1;for(let{from:io,to:so}of ro){let ao=no.length,lo=1e9,uo=getConfig(to,io).line;if(uo){for(let co=io;co<=so;){let fo=to.doc.lineAt(co);if(fo.from>oo&&(io==so||so>fo.from)){oo=fo.from;let ho=/^\s*/.exec(fo.text)[0].length,po=ho==fo.length,go=fo.text.slice(ho,ho+uo.length)==uo?ho:-1;ho<fo.text.length&&ho<lo&&(lo=ho),no.push({line:fo,comment:go,token:uo,indent:ho,empty:po,single:!1})}co=fo.to+1}if(lo<1e9)for(let co=ao;co<no.length;co++)no[co].indent<no[co].line.text.length&&(no[co].indent=lo);no.length==ao+1&&(no[ao].single=!0)}}if(eo!=2&&no.some(io=>io.comment<0&&(!io.empty||io.single))){let io=[];for(let{line:ao,token:lo,indent:uo,empty:co,single:fo}of no)(fo||!co)&&io.push({from:ao.from+uo,insert:lo+" "});let so=to.changes(io);return{changes:so,selection:to.selection.map(so,1)}}else if(eo!=1&&no.some(io=>io.comment>=0)){let io=[];for(let{line:so,comment:ao,token:lo}of no)if(ao>=0){let uo=so.from+ao,co=uo+lo.length;so.text[co-so.from]==" "&&co++,io.push({from:uo,to:co})}return{changes:io}}return null}const fromHistory=Annotation.define(),isolateHistory=Annotation.define(),invertedEffects=Facet.define(),historyConfig=Facet.define({combine(eo){return combineConfig(eo,{minDepth:100,newGroupDelay:500,joinToEvent:(to,ro)=>ro},{minDepth:Math.max,newGroupDelay:Math.min,joinToEvent:(to,ro)=>(no,oo)=>to(no,oo)||ro(no,oo)})}}),historyField_=StateField.define({create(){return HistoryState.empty},update(eo,to){let ro=to.state.facet(historyConfig),no=to.annotation(fromHistory);if(no){let lo=HistEvent.fromTransaction(to,no.selection),uo=no.side,co=uo==0?eo.undone:eo.done;return lo?co=updateBranch(co,co.length,ro.minDepth,lo):co=addSelection(co,to.startState.selection),new HistoryState(uo==0?no.rest:co,uo==0?co:no.rest)}let oo=to.annotation(isolateHistory);if((oo=="full"||oo=="before")&&(eo=eo.isolate()),to.annotation(Transaction.addToHistory)===!1)return to.changes.empty?eo:eo.addMapping(to.changes.desc);let io=HistEvent.fromTransaction(to),so=to.annotation(Transaction.time),ao=to.annotation(Transaction.userEvent);return io?eo=eo.addChanges(io,so,ao,ro,to):to.selection&&(eo=eo.addSelection(to.startState.selection,so,ao,ro.newGroupDelay)),(oo=="full"||oo=="after")&&(eo=eo.isolate()),eo},toJSON(eo){return{done:eo.done.map(to=>to.toJSON()),undone:eo.undone.map(to=>to.toJSON())}},fromJSON(eo){return new HistoryState(eo.done.map(HistEvent.fromJSON),eo.undone.map(HistEvent.fromJSON))}});function history(eo={}){return[historyField_,historyConfig.of(eo),EditorView.domEventHandlers({beforeinput(to,ro){let no=to.inputType=="historyUndo"?undo:to.inputType=="historyRedo"?redo:null;return no?(to.preventDefault(),no(ro)):!1}})]}function cmd(eo,to){return function({state:ro,dispatch:no}){if(!to&&ro.readOnly)return!1;let oo=ro.field(historyField_,!1);if(!oo)return!1;let io=oo.pop(eo,ro,to);return io?(no(io),!0):!1}}const undo=cmd(0,!1),redo=cmd(1,!1),undoSelection=cmd(0,!0),redoSelection=cmd(1,!0);class HistEvent{constructor(to,ro,no,oo,io){this.changes=to,this.effects=ro,this.mapped=no,this.startSelection=oo,this.selectionsAfter=io}setSelAfter(to){return new HistEvent(this.changes,this.effects,this.mapped,this.startSelection,to)}toJSON(){var to,ro,no;return{changes:(to=this.changes)===null||to===void 0?void 0:to.toJSON(),mapped:(ro=this.mapped)===null||ro===void 0?void 0:ro.toJSON(),startSelection:(no=this.startSelection)===null||no===void 0?void 0:no.toJSON(),selectionsAfter:this.selectionsAfter.map(oo=>oo.toJSON())}}static fromJSON(to){return new HistEvent(to.changes&&ChangeSet.fromJSON(to.changes),[],to.mapped&&ChangeDesc.fromJSON(to.mapped),to.startSelection&&EditorSelection.fromJSON(to.startSelection),to.selectionsAfter.map(EditorSelection.fromJSON))}static fromTransaction(to,ro){let no=none;for(let oo of to.startState.facet(invertedEffects)){let io=oo(to);io.length&&(no=no.concat(io))}return!no.length&&to.changes.empty?null:new HistEvent(to.changes.invert(to.startState.doc),no,void 0,ro||to.startState.selection,none)}static selection(to){return new HistEvent(void 0,none,void 0,void 0,to)}}function updateBranch(eo,to,ro,no){let oo=to+1>ro+20?to-ro-1:0,io=eo.slice(oo,to);return io.push(no),io}function isAdjacent(eo,to){let ro=[],no=!1;return eo.iterChangedRanges((oo,io)=>ro.push(oo,io)),to.iterChangedRanges((oo,io,so,ao)=>{for(let lo=0;lo<ro.length;){let uo=ro[lo++],co=ro[lo++];ao>=uo&&so<=co&&(no=!0)}}),no}function eqSelectionShape(eo,to){return eo.ranges.length==to.ranges.length&&eo.ranges.filter((ro,no)=>ro.empty!=to.ranges[no].empty).length===0}function conc(eo,to){return eo.length?to.length?eo.concat(to):eo:to}const none=[],MaxSelectionsPerEvent=200;function addSelection(eo,to){if(eo.length){let ro=eo[eo.length-1],no=ro.selectionsAfter.slice(Math.max(0,ro.selectionsAfter.length-MaxSelectionsPerEvent));return no.length&&no[no.length-1].eq(to)?eo:(no.push(to),updateBranch(eo,eo.length-1,1e9,ro.setSelAfter(no)))}else return[HistEvent.selection([to])]}function popSelection(eo){let to=eo[eo.length-1],ro=eo.slice();return ro[eo.length-1]=to.setSelAfter(to.selectionsAfter.slice(0,to.selectionsAfter.length-1)),ro}function addMappingToBranch(eo,to){if(!eo.length)return eo;let ro=eo.length,no=none;for(;ro;){let oo=mapEvent(eo[ro-1],to,no);if(oo.changes&&!oo.changes.empty||oo.effects.length){let io=eo.slice(0,ro);return io[ro-1]=oo,io}else to=oo.mapped,ro--,no=oo.selectionsAfter}return no.length?[HistEvent.selection(no)]:none}function mapEvent(eo,to,ro){let no=conc(eo.selectionsAfter.length?eo.selectionsAfter.map(ao=>ao.map(to)):none,ro);if(!eo.changes)return HistEvent.selection(no);let oo=eo.changes.map(to),io=to.mapDesc(eo.changes,!0),so=eo.mapped?eo.mapped.composeDesc(io):io;return new HistEvent(oo,StateEffect.mapEffects(eo.effects,to),so,eo.startSelection.map(io),no)}const joinableUserEvent=/^(input\.type|delete)($|\.)/;class HistoryState{constructor(to,ro,no=0,oo=void 0){this.done=to,this.undone=ro,this.prevTime=no,this.prevUserEvent=oo}isolate(){return this.prevTime?new HistoryState(this.done,this.undone):this}addChanges(to,ro,no,oo,io){let so=this.done,ao=so[so.length-1];return ao&&ao.changes&&!ao.changes.empty&&to.changes&&(!no||joinableUserEvent.test(no))&&(!ao.selectionsAfter.length&&ro-this.prevTime<oo.newGroupDelay&&oo.joinToEvent(io,isAdjacent(ao.changes,to.changes))||no=="input.type.compose")?so=updateBranch(so,so.length-1,oo.minDepth,new HistEvent(to.changes.compose(ao.changes),conc(to.effects,ao.effects),ao.mapped,ao.startSelection,none)):so=updateBranch(so,so.length,oo.minDepth,to),new HistoryState(so,none,ro,no)}addSelection(to,ro,no,oo){let io=this.done.length?this.done[this.done.length-1].selectionsAfter:none;return io.length>0&&ro-this.prevTime<oo&&no==this.prevUserEvent&&no&&/^select($|\.)/.test(no)&&eqSelectionShape(io[io.length-1],to)?this:new HistoryState(addSelection(this.done,to),this.undone,ro,no)}addMapping(to){return new HistoryState(addMappingToBranch(this.done,to),addMappingToBranch(this.undone,to),this.prevTime,this.prevUserEvent)}pop(to,ro,no){let oo=to==0?this.done:this.undone;if(oo.length==0)return null;let io=oo[oo.length-1],so=io.selectionsAfter[0]||ro.selection;if(no&&io.selectionsAfter.length)return ro.update({selection:io.selectionsAfter[io.selectionsAfter.length-1],annotations:fromHistory.of({side:to,rest:popSelection(oo),selection:so}),userEvent:to==0?"select.undo":"select.redo",scrollIntoView:!0});if(io.changes){let ao=oo.length==1?none:oo.slice(0,oo.length-1);return io.mapped&&(ao=addMappingToBranch(ao,io.mapped)),ro.update({changes:io.changes,selection:io.startSelection,effects:io.effects,annotations:fromHistory.of({side:to,rest:ao,selection:so}),filter:!1,userEvent:to==0?"undo":"redo",scrollIntoView:!0})}else return null}}HistoryState.empty=new HistoryState(none,none);const historyKeymap=[{key:"Mod-z",run:undo,preventDefault:!0},{key:"Mod-y",mac:"Mod-Shift-z",run:redo,preventDefault:!0},{linux:"Ctrl-Shift-z",run:redo,preventDefault:!0},{key:"Mod-u",run:undoSelection,preventDefault:!0},{key:"Alt-u",mac:"Mod-Shift-u",run:redoSelection,preventDefault:!0}];function updateSel(eo,to){return EditorSelection.create(eo.ranges.map(to),eo.mainIndex)}function setSel(eo,to){return eo.update({selection:to,scrollIntoView:!0,userEvent:"select"})}function moveSel({state:eo,dispatch:to},ro){let no=updateSel(eo.selection,ro);return no.eq(eo.selection,!0)?!1:(to(setSel(eo,no)),!0)}function rangeEnd(eo,to){return EditorSelection.cursor(to?eo.to:eo.from)}function cursorByChar(eo,to){return moveSel(eo,ro=>ro.empty?eo.moveByChar(ro,to):rangeEnd(ro,to))}function ltrAtCursor(eo){return eo.textDirectionAt(eo.state.selection.main.head)==Direction.LTR}const cursorCharLeft=eo=>cursorByChar(eo,!ltrAtCursor(eo)),cursorCharRight=eo=>cursorByChar(eo,ltrAtCursor(eo));function cursorByGroup(eo,to){return moveSel(eo,ro=>ro.empty?eo.moveByGroup(ro,to):rangeEnd(ro,to))}const cursorGroupLeft=eo=>cursorByGroup(eo,!ltrAtCursor(eo)),cursorGroupRight=eo=>cursorByGroup(eo,ltrAtCursor(eo));function interestingNode(eo,to,ro){if(to.type.prop(ro))return!0;let no=to.to-to.from;return no&&(no>2||/[^\s,.;:]/.test(eo.sliceDoc(to.from,to.to)))||to.firstChild}function moveBySyntax(eo,to,ro){let no=syntaxTree(eo).resolveInner(to.head),oo=ro?NodeProp.closedBy:NodeProp.openedBy;for(let lo=to.head;;){let uo=ro?no.childAfter(lo):no.childBefore(lo);if(!uo)break;interestingNode(eo,uo,oo)?no=uo:lo=ro?uo.to:uo.from}let io=no.type.prop(oo),so,ao;return io&&(so=ro?matchBrackets(eo,no.from,1):matchBrackets(eo,no.to,-1))&&so.matched?ao=ro?so.end.to:so.end.from:ao=ro?no.to:no.from,EditorSelection.cursor(ao,ro?-1:1)}const cursorSyntaxLeft=eo=>moveSel(eo,to=>moveBySyntax(eo.state,to,!ltrAtCursor(eo))),cursorSyntaxRight=eo=>moveSel(eo,to=>moveBySyntax(eo.state,to,ltrAtCursor(eo)));function cursorByLine(eo,to){return moveSel(eo,ro=>{if(!ro.empty)return rangeEnd(ro,to);let no=eo.moveVertically(ro,to);return no.head!=ro.head?no:eo.moveToLineBoundary(ro,to)})}const cursorLineUp=eo=>cursorByLine(eo,!1),cursorLineDown=eo=>cursorByLine(eo,!0);function pageInfo(eo){let to=eo.scrollDOM.clientHeight<eo.scrollDOM.scrollHeight-2,ro=0,no=0,oo;if(to){for(let io of eo.state.facet(EditorView.scrollMargins)){let so=io(eo);so!=null&&so.top&&(ro=Math.max(so==null?void 0:so.top,ro)),so!=null&&so.bottom&&(no=Math.max(so==null?void 0:so.bottom,no))}oo=eo.scrollDOM.clientHeight-ro-no}else oo=(eo.dom.ownerDocument.defaultView||window).innerHeight;return{marginTop:ro,marginBottom:no,selfScroll:to,height:Math.max(eo.defaultLineHeight,oo-5)}}function cursorByPage(eo,to){let ro=pageInfo(eo),{state:no}=eo,oo=updateSel(no.selection,so=>so.empty?eo.moveVertically(so,to,ro.height):rangeEnd(so,to));if(oo.eq(no.selection))return!1;let io;if(ro.selfScroll){let so=eo.coordsAtPos(no.selection.main.head),ao=eo.scrollDOM.getBoundingClientRect(),lo=ao.top+ro.marginTop,uo=ao.bottom-ro.marginBottom;so&&so.top>lo&&so.bottom<uo&&(io=EditorView.scrollIntoView(oo.main.head,{y:"start",yMargin:so.top-lo}))}return eo.dispatch(setSel(no,oo),{effects:io}),!0}const cursorPageUp=eo=>cursorByPage(eo,!1),cursorPageDown=eo=>cursorByPage(eo,!0);function moveByLineBoundary(eo,to,ro){let no=eo.lineBlockAt(to.head),oo=eo.moveToLineBoundary(to,ro);if(oo.head==to.head&&oo.head!=(ro?no.to:no.from)&&(oo=eo.moveToLineBoundary(to,ro,!1)),!ro&&oo.head==no.from&&no.length){let io=/^\s*/.exec(eo.state.sliceDoc(no.from,Math.min(no.from+100,no.to)))[0].length;io&&to.head!=no.from+io&&(oo=EditorSelection.cursor(no.from+io))}return oo}const cursorLineBoundaryForward=eo=>moveSel(eo,to=>moveByLineBoundary(eo,to,!0)),cursorLineBoundaryBackward=eo=>moveSel(eo,to=>moveByLineBoundary(eo,to,!1)),cursorLineBoundaryLeft=eo=>moveSel(eo,to=>moveByLineBoundary(eo,to,!ltrAtCursor(eo))),cursorLineBoundaryRight=eo=>moveSel(eo,to=>moveByLineBoundary(eo,to,ltrAtCursor(eo))),cursorLineStart=eo=>moveSel(eo,to=>EditorSelection.cursor(eo.lineBlockAt(to.head).from,1)),cursorLineEnd=eo=>moveSel(eo,to=>EditorSelection.cursor(eo.lineBlockAt(to.head).to,-1));function toMatchingBracket(eo,to,ro){let no=!1,oo=updateSel(eo.selection,io=>{let so=matchBrackets(eo,io.head,-1)||matchBrackets(eo,io.head,1)||io.head>0&&matchBrackets(eo,io.head-1,1)||io.head<eo.doc.length&&matchBrackets(eo,io.head+1,-1);if(!so||!so.end)return io;no=!0;let ao=so.start.from==io.head?so.end.to:so.end.from;return ro?EditorSelection.range(io.anchor,ao):EditorSelection.cursor(ao)});return no?(to(setSel(eo,oo)),!0):!1}const cursorMatchingBracket=({state:eo,dispatch:to})=>toMatchingBracket(eo,to,!1);function extendSel(eo,to){let ro=updateSel(eo.state.selection,no=>{let oo=to(no);return EditorSelection.range(no.anchor,oo.head,oo.goalColumn,oo.bidiLevel||void 0)});return ro.eq(eo.state.selection)?!1:(eo.dispatch(setSel(eo.state,ro)),!0)}function selectByChar(eo,to){return extendSel(eo,ro=>eo.moveByChar(ro,to))}const selectCharLeft=eo=>selectByChar(eo,!ltrAtCursor(eo)),selectCharRight=eo=>selectByChar(eo,ltrAtCursor(eo));function selectByGroup(eo,to){return extendSel(eo,ro=>eo.moveByGroup(ro,to))}const selectGroupLeft=eo=>selectByGroup(eo,!ltrAtCursor(eo)),selectGroupRight=eo=>selectByGroup(eo,ltrAtCursor(eo)),selectSyntaxLeft=eo=>extendSel(eo,to=>moveBySyntax(eo.state,to,!ltrAtCursor(eo))),selectSyntaxRight=eo=>extendSel(eo,to=>moveBySyntax(eo.state,to,ltrAtCursor(eo)));function selectByLine(eo,to){return extendSel(eo,ro=>eo.moveVertically(ro,to))}const selectLineUp=eo=>selectByLine(eo,!1),selectLineDown=eo=>selectByLine(eo,!0);function selectByPage(eo,to){return extendSel(eo,ro=>eo.moveVertically(ro,to,pageInfo(eo).height))}const selectPageUp=eo=>selectByPage(eo,!1),selectPageDown=eo=>selectByPage(eo,!0),selectLineBoundaryForward=eo=>extendSel(eo,to=>moveByLineBoundary(eo,to,!0)),selectLineBoundaryBackward=eo=>extendSel(eo,to=>moveByLineBoundary(eo,to,!1)),selectLineBoundaryLeft=eo=>extendSel(eo,to=>moveByLineBoundary(eo,to,!ltrAtCursor(eo))),selectLineBoundaryRight=eo=>extendSel(eo,to=>moveByLineBoundary(eo,to,ltrAtCursor(eo))),selectLineStart=eo=>extendSel(eo,to=>EditorSelection.cursor(eo.lineBlockAt(to.head).from)),selectLineEnd=eo=>extendSel(eo,to=>EditorSelection.cursor(eo.lineBlockAt(to.head).to)),cursorDocStart=({state:eo,dispatch:to})=>(to(setSel(eo,{anchor:0})),!0),cursorDocEnd=({state:eo,dispatch:to})=>(to(setSel(eo,{anchor:eo.doc.length})),!0),selectDocStart=({state:eo,dispatch:to})=>(to(setSel(eo,{anchor:eo.selection.main.anchor,head:0})),!0),selectDocEnd=({state:eo,dispatch:to})=>(to(setSel(eo,{anchor:eo.selection.main.anchor,head:eo.doc.length})),!0),selectAll=({state:eo,dispatch:to})=>(to(eo.update({selection:{anchor:0,head:eo.doc.length},userEvent:"select"})),!0),selectLine=({state:eo,dispatch:to})=>{let ro=selectedLineBlocks(eo).map(({from:no,to:oo})=>EditorSelection.range(no,Math.min(oo+1,eo.doc.length)));return to(eo.update({selection:EditorSelection.create(ro),userEvent:"select"})),!0},selectParentSyntax=({state:eo,dispatch:to})=>{let ro=updateSel(eo.selection,no=>{var oo;let io=syntaxTree(eo).resolveStack(no.from,1);for(let so=io;so;so=so.next){let{node:ao}=so;if((ao.from<no.from&&ao.to>=no.to||ao.to>no.to&&ao.from<=no.from)&&(!((oo=ao.parent)===null||oo===void 0)&&oo.parent))return EditorSelection.range(ao.to,ao.from)}return no});return to(setSel(eo,ro)),!0},simplifySelection=({state:eo,dispatch:to})=>{let ro=eo.selection,no=null;return ro.ranges.length>1?no=EditorSelection.create([ro.main]):ro.main.empty||(no=EditorSelection.create([EditorSelection.cursor(ro.main.head)])),no?(to(setSel(eo,no)),!0):!1};function deleteBy(eo,to){if(eo.state.readOnly)return!1;let ro="delete.selection",{state:no}=eo,oo=no.changeByRange(io=>{let{from:so,to:ao}=io;if(so==ao){let lo=to(io);lo<so?(ro="delete.backward",lo=skipAtomic(eo,lo,!1)):lo>so&&(ro="delete.forward",lo=skipAtomic(eo,lo,!0)),so=Math.min(so,lo),ao=Math.max(ao,lo)}else so=skipAtomic(eo,so,!1),ao=skipAtomic(eo,ao,!0);return so==ao?{range:io}:{changes:{from:so,to:ao},range:EditorSelection.cursor(so,so<io.head?-1:1)}});return oo.changes.empty?!1:(eo.dispatch(no.update(oo,{scrollIntoView:!0,userEvent:ro,effects:ro=="delete.selection"?EditorView.announce.of(no.phrase("Selection deleted")):void 0})),!0)}function skipAtomic(eo,to,ro){if(eo instanceof EditorView)for(let no of eo.state.facet(EditorView.atomicRanges).map(oo=>oo(eo)))no.between(to,to,(oo,io)=>{oo<to&&io>to&&(to=ro?io:oo)});return to}const deleteByChar=(eo,to)=>deleteBy(eo,ro=>{let no=ro.from,{state:oo}=eo,io=oo.doc.lineAt(no),so,ao;if(!to&&no>io.from&&no<io.from+200&&!/[^ \t]/.test(so=io.text.slice(0,no-io.from))){if(so[so.length-1]=="	")return no-1;let lo=countColumn(so,oo.tabSize),uo=lo%getIndentUnit(oo)||getIndentUnit(oo);for(let co=0;co<uo&&so[so.length-1-co]==" ";co++)no--;ao=no}else ao=findClusterBreak(io.text,no-io.from,to,to)+io.from,ao==no&&io.number!=(to?oo.doc.lines:1)?ao+=to?1:-1:!to&&/[\ufe00-\ufe0f]/.test(io.text.slice(ao-io.from,no-io.from))&&(ao=findClusterBreak(io.text,ao-io.from,!1,!1)+io.from);return ao}),deleteCharBackward=eo=>deleteByChar(eo,!1),deleteCharForward=eo=>deleteByChar(eo,!0),deleteByGroup=(eo,to)=>deleteBy(eo,ro=>{let no=ro.head,{state:oo}=eo,io=oo.doc.lineAt(no),so=oo.charCategorizer(no);for(let ao=null;;){if(no==(to?io.to:io.from)){no==ro.head&&io.number!=(to?oo.doc.lines:1)&&(no+=to?1:-1);break}let lo=findClusterBreak(io.text,no-io.from,to)+io.from,uo=io.text.slice(Math.min(no,lo)-io.from,Math.max(no,lo)-io.from),co=so(uo);if(ao!=null&&co!=ao)break;(uo!=" "||no!=ro.head)&&(ao=co),no=lo}return no}),deleteGroupBackward=eo=>deleteByGroup(eo,!1),deleteGroupForward=eo=>deleteByGroup(eo,!0),deleteToLineEnd=eo=>deleteBy(eo,to=>{let ro=eo.lineBlockAt(to.head).to;return to.head<ro?ro:Math.min(eo.state.doc.length,to.head+1)}),deleteLineBoundaryBackward=eo=>deleteBy(eo,to=>{let ro=eo.moveToLineBoundary(to,!1).head;return to.head>ro?ro:Math.max(0,to.head-1)}),deleteLineBoundaryForward=eo=>deleteBy(eo,to=>{let ro=eo.moveToLineBoundary(to,!0).head;return to.head<ro?ro:Math.min(eo.state.doc.length,to.head+1)}),splitLine=({state:eo,dispatch:to})=>{if(eo.readOnly)return!1;let ro=eo.changeByRange(no=>({changes:{from:no.from,to:no.to,insert:Text$1.of(["",""])},range:EditorSelection.cursor(no.from)}));return to(eo.update(ro,{scrollIntoView:!0,userEvent:"input"})),!0},transposeChars=({state:eo,dispatch:to})=>{if(eo.readOnly)return!1;let ro=eo.changeByRange(no=>{if(!no.empty||no.from==0||no.from==eo.doc.length)return{range:no};let oo=no.from,io=eo.doc.lineAt(oo),so=oo==io.from?oo-1:findClusterBreak(io.text,oo-io.from,!1)+io.from,ao=oo==io.to?oo+1:findClusterBreak(io.text,oo-io.from,!0)+io.from;return{changes:{from:so,to:ao,insert:eo.doc.slice(oo,ao).append(eo.doc.slice(so,oo))},range:EditorSelection.cursor(ao)}});return ro.changes.empty?!1:(to(eo.update(ro,{scrollIntoView:!0,userEvent:"move.character"})),!0)};function selectedLineBlocks(eo){let to=[],ro=-1;for(let no of eo.selection.ranges){let oo=eo.doc.lineAt(no.from),io=eo.doc.lineAt(no.to);if(!no.empty&&no.to==io.from&&(io=eo.doc.lineAt(no.to-1)),ro>=oo.number){let so=to[to.length-1];so.to=io.to,so.ranges.push(no)}else to.push({from:oo.from,to:io.to,ranges:[no]});ro=io.number+1}return to}function moveLine(eo,to,ro){if(eo.readOnly)return!1;let no=[],oo=[];for(let io of selectedLineBlocks(eo)){if(ro?io.to==eo.doc.length:io.from==0)continue;let so=eo.doc.lineAt(ro?io.to+1:io.from-1),ao=so.length+1;if(ro){no.push({from:io.to,to:so.to},{from:io.from,insert:so.text+eo.lineBreak});for(let lo of io.ranges)oo.push(EditorSelection.range(Math.min(eo.doc.length,lo.anchor+ao),Math.min(eo.doc.length,lo.head+ao)))}else{no.push({from:so.from,to:io.from},{from:io.to,insert:eo.lineBreak+so.text});for(let lo of io.ranges)oo.push(EditorSelection.range(lo.anchor-ao,lo.head-ao))}}return no.length?(to(eo.update({changes:no,scrollIntoView:!0,selection:EditorSelection.create(oo,eo.selection.mainIndex),userEvent:"move.line"})),!0):!1}const moveLineUp=({state:eo,dispatch:to})=>moveLine(eo,to,!1),moveLineDown=({state:eo,dispatch:to})=>moveLine(eo,to,!0);function copyLine(eo,to,ro){if(eo.readOnly)return!1;let no=[];for(let oo of selectedLineBlocks(eo))ro?no.push({from:oo.from,insert:eo.doc.slice(oo.from,oo.to)+eo.lineBreak}):no.push({from:oo.to,insert:eo.lineBreak+eo.doc.slice(oo.from,oo.to)});return to(eo.update({changes:no,scrollIntoView:!0,userEvent:"input.copyline"})),!0}const copyLineUp=({state:eo,dispatch:to})=>copyLine(eo,to,!1),copyLineDown=({state:eo,dispatch:to})=>copyLine(eo,to,!0),deleteLine=eo=>{if(eo.state.readOnly)return!1;let{state:to}=eo,ro=to.changes(selectedLineBlocks(to).map(({from:oo,to:io})=>(oo>0?oo--:io<to.doc.length&&io++,{from:oo,to:io}))),no=updateSel(to.selection,oo=>eo.moveVertically(oo,!0)).map(ro);return eo.dispatch({changes:ro,selection:no,scrollIntoView:!0,userEvent:"delete.line"}),!0};function isBetweenBrackets(eo,to){if(/\(\)|\[\]|\{\}/.test(eo.sliceDoc(to-1,to+1)))return{from:to,to};let ro=syntaxTree(eo).resolveInner(to),no=ro.childBefore(to),oo=ro.childAfter(to),io;return no&&oo&&no.to<=to&&oo.from>=to&&(io=no.type.prop(NodeProp.closedBy))&&io.indexOf(oo.name)>-1&&eo.doc.lineAt(no.to).from==eo.doc.lineAt(oo.from).from&&!/\S/.test(eo.sliceDoc(no.to,oo.from))?{from:no.to,to:oo.from}:null}const insertNewlineAndIndent=newlineAndIndent(!1),insertBlankLine=newlineAndIndent(!0);function newlineAndIndent(eo){return({state:to,dispatch:ro})=>{if(to.readOnly)return!1;let no=to.changeByRange(oo=>{let{from:io,to:so}=oo,ao=to.doc.lineAt(io),lo=!eo&&io==so&&isBetweenBrackets(to,io);eo&&(io=so=(so<=ao.to?ao:to.doc.lineAt(so)).to);let uo=new IndentContext(to,{simulateBreak:io,simulateDoubleBreak:!!lo}),co=getIndentation(uo,io);for(co==null&&(co=countColumn(/^\s*/.exec(to.doc.lineAt(io).text)[0],to.tabSize));so<ao.to&&/\s/.test(ao.text[so-ao.from]);)so++;lo?{from:io,to:so}=lo:io>ao.from&&io<ao.from+100&&!/\S/.test(ao.text.slice(0,io))&&(io=ao.from);let fo=["",indentString(to,co)];return lo&&fo.push(indentString(to,uo.lineIndent(ao.from,-1))),{changes:{from:io,to:so,insert:Text$1.of(fo)},range:EditorSelection.cursor(io+1+fo[1].length)}});return ro(to.update(no,{scrollIntoView:!0,userEvent:"input"})),!0}}function changeBySelectedLine(eo,to){let ro=-1;return eo.changeByRange(no=>{let oo=[];for(let so=no.from;so<=no.to;){let ao=eo.doc.lineAt(so);ao.number>ro&&(no.empty||no.to>ao.from)&&(to(ao,oo,no),ro=ao.number),so=ao.to+1}let io=eo.changes(oo);return{changes:oo,range:EditorSelection.range(io.mapPos(no.anchor,1),io.mapPos(no.head,1))}})}const indentSelection=({state:eo,dispatch:to})=>{if(eo.readOnly)return!1;let ro=Object.create(null),no=new IndentContext(eo,{overrideIndentation:io=>{let so=ro[io];return so??-1}}),oo=changeBySelectedLine(eo,(io,so,ao)=>{let lo=getIndentation(no,io.from);if(lo==null)return;/\S/.test(io.text)||(lo=0);let uo=/^\s*/.exec(io.text)[0],co=indentString(eo,lo);(uo!=co||ao.from<io.from+uo.length)&&(ro[io.from]=lo,so.push({from:io.from,to:io.from+uo.length,insert:co}))});return oo.changes.empty||to(eo.update(oo,{userEvent:"indent"})),!0},indentMore=({state:eo,dispatch:to})=>eo.readOnly?!1:(to(eo.update(changeBySelectedLine(eo,(ro,no)=>{no.push({from:ro.from,insert:eo.facet(indentUnit)})}),{userEvent:"input.indent"})),!0),indentLess=({state:eo,dispatch:to})=>eo.readOnly?!1:(to(eo.update(changeBySelectedLine(eo,(ro,no)=>{let oo=/^\s*/.exec(ro.text)[0];if(!oo)return;let io=countColumn(oo,eo.tabSize),so=0,ao=indentString(eo,Math.max(0,io-getIndentUnit(eo)));for(;so<oo.length&&so<ao.length&&oo.charCodeAt(so)==ao.charCodeAt(so);)so++;no.push({from:ro.from+so,to:ro.from+oo.length,insert:ao.slice(so)})}),{userEvent:"delete.dedent"})),!0),emacsStyleKeymap=[{key:"Ctrl-b",run:cursorCharLeft,shift:selectCharLeft,preventDefault:!0},{key:"Ctrl-f",run:cursorCharRight,shift:selectCharRight},{key:"Ctrl-p",run:cursorLineUp,shift:selectLineUp},{key:"Ctrl-n",run:cursorLineDown,shift:selectLineDown},{key:"Ctrl-a",run:cursorLineStart,shift:selectLineStart},{key:"Ctrl-e",run:cursorLineEnd,shift:selectLineEnd},{key:"Ctrl-d",run:deleteCharForward},{key:"Ctrl-h",run:deleteCharBackward},{key:"Ctrl-k",run:deleteToLineEnd},{key:"Ctrl-Alt-h",run:deleteGroupBackward},{key:"Ctrl-o",run:splitLine},{key:"Ctrl-t",run:transposeChars},{key:"Ctrl-v",run:cursorPageDown}],standardKeymap=[{key:"ArrowLeft",run:cursorCharLeft,shift:selectCharLeft,preventDefault:!0},{key:"Mod-ArrowLeft",mac:"Alt-ArrowLeft",run:cursorGroupLeft,shift:selectGroupLeft,preventDefault:!0},{mac:"Cmd-ArrowLeft",run:cursorLineBoundaryLeft,shift:selectLineBoundaryLeft,preventDefault:!0},{key:"ArrowRight",run:cursorCharRight,shift:selectCharRight,preventDefault:!0},{key:"Mod-ArrowRight",mac:"Alt-ArrowRight",run:cursorGroupRight,shift:selectGroupRight,preventDefault:!0},{mac:"Cmd-ArrowRight",run:cursorLineBoundaryRight,shift:selectLineBoundaryRight,preventDefault:!0},{key:"ArrowUp",run:cursorLineUp,shift:selectLineUp,preventDefault:!0},{mac:"Cmd-ArrowUp",run:cursorDocStart,shift:selectDocStart},{mac:"Ctrl-ArrowUp",run:cursorPageUp,shift:selectPageUp},{key:"ArrowDown",run:cursorLineDown,shift:selectLineDown,preventDefault:!0},{mac:"Cmd-ArrowDown",run:cursorDocEnd,shift:selectDocEnd},{mac:"Ctrl-ArrowDown",run:cursorPageDown,shift:selectPageDown},{key:"PageUp",run:cursorPageUp,shift:selectPageUp},{key:"PageDown",run:cursorPageDown,shift:selectPageDown},{key:"Home",run:cursorLineBoundaryBackward,shift:selectLineBoundaryBackward,preventDefault:!0},{key:"Mod-Home",run:cursorDocStart,shift:selectDocStart},{key:"End",run:cursorLineBoundaryForward,shift:selectLineBoundaryForward,preventDefault:!0},{key:"Mod-End",run:cursorDocEnd,shift:selectDocEnd},{key:"Enter",run:insertNewlineAndIndent},{key:"Mod-a",run:selectAll},{key:"Backspace",run:deleteCharBackward,shift:deleteCharBackward},{key:"Delete",run:deleteCharForward},{key:"Mod-Backspace",mac:"Alt-Backspace",run:deleteGroupBackward},{key:"Mod-Delete",mac:"Alt-Delete",run:deleteGroupForward},{mac:"Mod-Backspace",run:deleteLineBoundaryBackward},{mac:"Mod-Delete",run:deleteLineBoundaryForward}].concat(emacsStyleKeymap.map(eo=>({mac:eo.key,run:eo.run,shift:eo.shift}))),defaultKeymap=[{key:"Alt-ArrowLeft",mac:"Ctrl-ArrowLeft",run:cursorSyntaxLeft,shift:selectSyntaxLeft},{key:"Alt-ArrowRight",mac:"Ctrl-ArrowRight",run:cursorSyntaxRight,shift:selectSyntaxRight},{key:"Alt-ArrowUp",run:moveLineUp},{key:"Shift-Alt-ArrowUp",run:copyLineUp},{key:"Alt-ArrowDown",run:moveLineDown},{key:"Shift-Alt-ArrowDown",run:copyLineDown},{key:"Escape",run:simplifySelection},{key:"Mod-Enter",run:insertBlankLine},{key:"Alt-l",mac:"Ctrl-l",run:selectLine},{key:"Mod-i",run:selectParentSyntax,preventDefault:!0},{key:"Mod-[",run:indentLess},{key:"Mod-]",run:indentMore},{key:"Mod-Alt-\\",run:indentSelection},{key:"Shift-Mod-k",run:deleteLine},{key:"Shift-Mod-\\",run:cursorMatchingBracket},{key:"Mod-/",run:toggleComment},{key:"Alt-A",run:toggleBlockComment}].concat(standardKeymap),indentWithTab={key:"Tab",run:indentMore,shift:indentLess};function crelt(){var eo=arguments[0];typeof eo=="string"&&(eo=document.createElement(eo));var to=1,ro=arguments[1];if(ro&&typeof ro=="object"&&ro.nodeType==null&&!Array.isArray(ro)){for(var no in ro)if(Object.prototype.hasOwnProperty.call(ro,no)){var oo=ro[no];typeof oo=="string"?eo.setAttribute(no,oo):oo!=null&&(eo[no]=oo)}to++}for(;to<arguments.length;to++)add(eo,arguments[to]);return eo}function add(eo,to){if(typeof to=="string")eo.appendChild(document.createTextNode(to));else if(to!=null)if(to.nodeType!=null)eo.appendChild(to);else if(Array.isArray(to))for(var ro=0;ro<to.length;ro++)add(eo,to[ro]);else throw new RangeError("Unsupported child node: "+to)}const basicNormalize=typeof String.prototype.normalize=="function"?eo=>eo.normalize("NFKD"):eo=>eo;class SearchCursor{constructor(to,ro,no=0,oo=to.length,io,so){this.test=so,this.value={from:0,to:0},this.done=!1,this.matches=[],this.buffer="",this.bufferPos=0,this.iter=to.iterRange(no,oo),this.bufferStart=no,this.normalize=io?ao=>io(basicNormalize(ao)):basicNormalize,this.query=this.normalize(ro)}peek(){if(this.bufferPos==this.buffer.length){if(this.bufferStart+=this.buffer.length,this.iter.next(),this.iter.done)return-1;this.bufferPos=0,this.buffer=this.iter.value}return codePointAt(this.buffer,this.bufferPos)}next(){for(;this.matches.length;)this.matches.pop();return this.nextOverlapping()}nextOverlapping(){for(;;){let to=this.peek();if(to<0)return this.done=!0,this;let ro=fromCodePoint(to),no=this.bufferStart+this.bufferPos;this.bufferPos+=codePointSize(to);let oo=this.normalize(ro);for(let io=0,so=no;;io++){let ao=oo.charCodeAt(io),lo=this.match(ao,so,this.bufferPos+this.bufferStart);if(io==oo.length-1){if(lo)return this.value=lo,this;break}so==no&&io<ro.length&&ro.charCodeAt(io)==ao&&so++}}}match(to,ro,no){let oo=null;for(let io=0;io<this.matches.length;io+=2){let so=this.matches[io],ao=!1;this.query.charCodeAt(so)==to&&(so==this.query.length-1?oo={from:this.matches[io+1],to:no}:(this.matches[io]++,ao=!0)),ao||(this.matches.splice(io,2),io-=2)}return this.query.charCodeAt(0)==to&&(this.query.length==1?oo={from:ro,to:no}:this.matches.push(1,ro)),oo&&this.test&&!this.test(oo.from,oo.to,this.buffer,this.bufferStart)&&(oo=null),oo}}typeof Symbol<"u"&&(SearchCursor.prototype[Symbol.iterator]=function(){return this});const empty={from:-1,to:-1,match:/.*/.exec("")},baseFlags="gm"+(/x/.unicode==null?"":"u");class RegExpCursor{constructor(to,ro,no,oo=0,io=to.length){if(this.text=to,this.to=io,this.curLine="",this.done=!1,this.value=empty,/\\[sWDnr]|\n|\r|\[\^/.test(ro))return new MultilineRegExpCursor(to,ro,no,oo,io);this.re=new RegExp(ro,baseFlags+(no!=null&&no.ignoreCase?"i":"")),this.test=no==null?void 0:no.test,this.iter=to.iter();let so=to.lineAt(oo);this.curLineStart=so.from,this.matchPos=toCharEnd(to,oo),this.getLine(this.curLineStart)}getLine(to){this.iter.next(to),this.iter.lineBreak?this.curLine="":(this.curLine=this.iter.value,this.curLineStart+this.curLine.length>this.to&&(this.curLine=this.curLine.slice(0,this.to-this.curLineStart)),this.iter.next())}nextLine(){this.curLineStart=this.curLineStart+this.curLine.length+1,this.curLineStart>this.to?this.curLine="":this.getLine(0)}next(){for(let to=this.matchPos-this.curLineStart;;){this.re.lastIndex=to;let ro=this.matchPos<=this.to&&this.re.exec(this.curLine);if(ro){let no=this.curLineStart+ro.index,oo=no+ro[0].length;if(this.matchPos=toCharEnd(this.text,oo+(no==oo?1:0)),no==this.curLineStart+this.curLine.length&&this.nextLine(),(no<oo||no>this.value.to)&&(!this.test||this.test(no,oo,ro)))return this.value={from:no,to:oo,match:ro},this;to=this.matchPos-this.curLineStart}else if(this.curLineStart+this.curLine.length<this.to)this.nextLine(),to=0;else return this.done=!0,this}}}const flattened=new WeakMap;class FlattenedDoc{constructor(to,ro){this.from=to,this.text=ro}get to(){return this.from+this.text.length}static get(to,ro,no){let oo=flattened.get(to);if(!oo||oo.from>=no||oo.to<=ro){let ao=new FlattenedDoc(ro,to.sliceString(ro,no));return flattened.set(to,ao),ao}if(oo.from==ro&&oo.to==no)return oo;let{text:io,from:so}=oo;return so>ro&&(io=to.sliceString(ro,so)+io,so=ro),oo.to<no&&(io+=to.sliceString(oo.to,no)),flattened.set(to,new FlattenedDoc(so,io)),new FlattenedDoc(ro,io.slice(ro-so,no-so))}}class MultilineRegExpCursor{constructor(to,ro,no,oo,io){this.text=to,this.to=io,this.done=!1,this.value=empty,this.matchPos=toCharEnd(to,oo),this.re=new RegExp(ro,baseFlags+(no!=null&&no.ignoreCase?"i":"")),this.test=no==null?void 0:no.test,this.flat=FlattenedDoc.get(to,oo,this.chunkEnd(oo+5e3))}chunkEnd(to){return to>=this.to?this.to:this.text.lineAt(to).to}next(){for(;;){let to=this.re.lastIndex=this.matchPos-this.flat.from,ro=this.re.exec(this.flat.text);if(ro&&!ro[0]&&ro.index==to&&(this.re.lastIndex=to+1,ro=this.re.exec(this.flat.text)),ro){let no=this.flat.from+ro.index,oo=no+ro[0].length;if((this.flat.to>=this.to||ro.index+ro[0].length<=this.flat.text.length-10)&&(!this.test||this.test(no,oo,ro)))return this.value={from:no,to:oo,match:ro},this.matchPos=toCharEnd(this.text,oo+(no==oo?1:0)),this}if(this.flat.to==this.to)return this.done=!0,this;this.flat=FlattenedDoc.get(this.text,this.flat.from,this.chunkEnd(this.flat.from+this.flat.text.length*2))}}}typeof Symbol<"u"&&(RegExpCursor.prototype[Symbol.iterator]=MultilineRegExpCursor.prototype[Symbol.iterator]=function(){return this});function validRegExp(eo){try{return new RegExp(eo,baseFlags),!0}catch{return!1}}function toCharEnd(eo,to){if(to>=eo.length)return to;let ro=eo.lineAt(to),no;for(;to<ro.to&&(no=ro.text.charCodeAt(to-ro.from))>=56320&&no<57344;)to++;return to}function createLineDialog(eo){let to=String(eo.state.doc.lineAt(eo.state.selection.main.head).number),ro=crelt("input",{class:"cm-textfield",name:"line",value:to}),no=crelt("form",{class:"cm-gotoLine",onkeydown:io=>{io.keyCode==27?(io.preventDefault(),eo.dispatch({effects:dialogEffect.of(!1)}),eo.focus()):io.keyCode==13&&(io.preventDefault(),oo())},onsubmit:io=>{io.preventDefault(),oo()}},crelt("label",eo.state.phrase("Go to line"),": ",ro)," ",crelt("button",{class:"cm-button",type:"submit"},eo.state.phrase("go")));function oo(){let io=/^([+-])?(\d+)?(:\d+)?(%)?$/.exec(ro.value);if(!io)return;let{state:so}=eo,ao=so.doc.lineAt(so.selection.main.head),[,lo,uo,co,fo]=io,ho=co?+co.slice(1):0,po=uo?+uo:ao.number;if(uo&&fo){let bo=po/100;lo&&(bo=bo*(lo=="-"?-1:1)+ao.number/so.doc.lines),po=Math.round(so.doc.lines*bo)}else uo&&lo&&(po=po*(lo=="-"?-1:1)+ao.number);let go=so.doc.line(Math.max(1,Math.min(so.doc.lines,po))),vo=EditorSelection.cursor(go.from+Math.max(0,Math.min(ho,go.length)));eo.dispatch({effects:[dialogEffect.of(!1),EditorView.scrollIntoView(vo.from,{y:"center"})],selection:vo}),eo.focus()}return{dom:no}}const dialogEffect=StateEffect.define(),dialogField=StateField.define({create(){return!0},update(eo,to){for(let ro of to.effects)ro.is(dialogEffect)&&(eo=ro.value);return eo},provide:eo=>showPanel.from(eo,to=>to?createLineDialog:null)}),gotoLine=eo=>{let to=getPanel(eo,createLineDialog);if(!to){let ro=[dialogEffect.of(!0)];eo.state.field(dialogField,!1)==null&&ro.push(StateEffect.appendConfig.of([dialogField,baseTheme$1])),eo.dispatch({effects:ro}),to=getPanel(eo,createLineDialog)}return to&&to.dom.querySelector("input").select(),!0},baseTheme$1=EditorView.baseTheme({".cm-panel.cm-gotoLine":{padding:"2px 6px 4px","& label":{fontSize:"80%"}}}),defaultHighlightOptions={highlightWordAroundCursor:!1,minSelectionLength:1,maxMatches:100,wholeWords:!1},highlightConfig=Facet.define({combine(eo){return combineConfig(eo,defaultHighlightOptions,{highlightWordAroundCursor:(to,ro)=>to||ro,minSelectionLength:Math.min,maxMatches:Math.min})}});function highlightSelectionMatches(eo){let to=[defaultTheme,matchHighlighter];return eo&&to.push(highlightConfig.of(eo)),to}const matchDeco=Decoration.mark({class:"cm-selectionMatch"}),mainMatchDeco=Decoration.mark({class:"cm-selectionMatch cm-selectionMatch-main"});function insideWordBoundaries(eo,to,ro,no){return(ro==0||eo(to.sliceDoc(ro-1,ro))!=CharCategory.Word)&&(no==to.doc.length||eo(to.sliceDoc(no,no+1))!=CharCategory.Word)}function insideWord(eo,to,ro,no){return eo(to.sliceDoc(ro,ro+1))==CharCategory.Word&&eo(to.sliceDoc(no-1,no))==CharCategory.Word}const matchHighlighter=ViewPlugin.fromClass(class{constructor(eo){this.decorations=this.getDeco(eo)}update(eo){(eo.selectionSet||eo.docChanged||eo.viewportChanged)&&(this.decorations=this.getDeco(eo.view))}getDeco(eo){let to=eo.state.facet(highlightConfig),{state:ro}=eo,no=ro.selection;if(no.ranges.length>1)return Decoration.none;let oo=no.main,io,so=null;if(oo.empty){if(!to.highlightWordAroundCursor)return Decoration.none;let lo=ro.wordAt(oo.head);if(!lo)return Decoration.none;so=ro.charCategorizer(oo.head),io=ro.sliceDoc(lo.from,lo.to)}else{let lo=oo.to-oo.from;if(lo<to.minSelectionLength||lo>200)return Decoration.none;if(to.wholeWords){if(io=ro.sliceDoc(oo.from,oo.to),so=ro.charCategorizer(oo.head),!(insideWordBoundaries(so,ro,oo.from,oo.to)&&insideWord(so,ro,oo.from,oo.to)))return Decoration.none}else if(io=ro.sliceDoc(oo.from,oo.to),!io)return Decoration.none}let ao=[];for(let lo of eo.visibleRanges){let uo=new SearchCursor(ro.doc,io,lo.from,lo.to);for(;!uo.next().done;){let{from:co,to:fo}=uo.value;if((!so||insideWordBoundaries(so,ro,co,fo))&&(oo.empty&&co<=oo.from&&fo>=oo.to?ao.push(mainMatchDeco.range(co,fo)):(co>=oo.to||fo<=oo.from)&&ao.push(matchDeco.range(co,fo)),ao.length>to.maxMatches))return Decoration.none}}return Decoration.set(ao)}},{decorations:eo=>eo.decorations}),defaultTheme=EditorView.baseTheme({".cm-selectionMatch":{backgroundColor:"#99ff7780"},".cm-searchMatch .cm-selectionMatch":{backgroundColor:"transparent"}}),selectWord=({state:eo,dispatch:to})=>{let{selection:ro}=eo,no=EditorSelection.create(ro.ranges.map(oo=>eo.wordAt(oo.head)||EditorSelection.cursor(oo.head)),ro.mainIndex);return no.eq(ro)?!1:(to(eo.update({selection:no})),!0)};function findNextOccurrence(eo,to){let{main:ro,ranges:no}=eo.selection,oo=eo.wordAt(ro.head),io=oo&&oo.from==ro.from&&oo.to==ro.to;for(let so=!1,ao=new SearchCursor(eo.doc,to,no[no.length-1].to);;)if(ao.next(),ao.done){if(so)return null;ao=new SearchCursor(eo.doc,to,0,Math.max(0,no[no.length-1].from-1)),so=!0}else{if(so&&no.some(lo=>lo.from==ao.value.from))continue;if(io){let lo=eo.wordAt(ao.value.from);if(!lo||lo.from!=ao.value.from||lo.to!=ao.value.to)continue}return ao.value}}const selectNextOccurrence=({state:eo,dispatch:to})=>{let{ranges:ro}=eo.selection;if(ro.some(io=>io.from===io.to))return selectWord({state:eo,dispatch:to});let no=eo.sliceDoc(ro[0].from,ro[0].to);if(eo.selection.ranges.some(io=>eo.sliceDoc(io.from,io.to)!=no))return!1;let oo=findNextOccurrence(eo,no);return oo?(to(eo.update({selection:eo.selection.addRange(EditorSelection.range(oo.from,oo.to),!1),effects:EditorView.scrollIntoView(oo.to)})),!0):!1},searchConfigFacet=Facet.define({combine(eo){return combineConfig(eo,{top:!1,caseSensitive:!1,literal:!1,regexp:!1,wholeWord:!1,createPanel:to=>new SearchPanel(to),scrollToMatch:to=>EditorView.scrollIntoView(to)})}});class SearchQuery{constructor(to){this.search=to.search,this.caseSensitive=!!to.caseSensitive,this.literal=!!to.literal,this.regexp=!!to.regexp,this.replace=to.replace||"",this.valid=!!this.search&&(!this.regexp||validRegExp(this.search)),this.unquoted=this.unquote(this.search),this.wholeWord=!!to.wholeWord}unquote(to){return this.literal?to:to.replace(/\\([nrt\\])/g,(ro,no)=>no=="n"?`
+`:no=="r"?"\r":no=="t"?"	":"\\")}eq(to){return this.search==to.search&&this.replace==to.replace&&this.caseSensitive==to.caseSensitive&&this.regexp==to.regexp&&this.wholeWord==to.wholeWord}create(){return this.regexp?new RegExpQuery(this):new StringQuery(this)}getCursor(to,ro=0,no){let oo=to.doc?to:EditorState.create({doc:to});return no==null&&(no=oo.doc.length),this.regexp?regexpCursor(this,oo,ro,no):stringCursor(this,oo,ro,no)}}class QueryType{constructor(to){this.spec=to}}function stringCursor(eo,to,ro,no){return new SearchCursor(to.doc,eo.unquoted,ro,no,eo.caseSensitive?void 0:oo=>oo.toLowerCase(),eo.wholeWord?stringWordTest(to.doc,to.charCategorizer(to.selection.main.head)):void 0)}function stringWordTest(eo,to){return(ro,no,oo,io)=>((io>ro||io+oo.length<no)&&(io=Math.max(0,ro-2),oo=eo.sliceString(io,Math.min(eo.length,no+2))),(to(charBefore(oo,ro-io))!=CharCategory.Word||to(charAfter(oo,ro-io))!=CharCategory.Word)&&(to(charAfter(oo,no-io))!=CharCategory.Word||to(charBefore(oo,no-io))!=CharCategory.Word))}class StringQuery extends QueryType{constructor(to){super(to)}nextMatch(to,ro,no){let oo=stringCursor(this.spec,to,no,to.doc.length).nextOverlapping();return oo.done&&(oo=stringCursor(this.spec,to,0,ro).nextOverlapping()),oo.done?null:oo.value}prevMatchInRange(to,ro,no){for(let oo=no;;){let io=Math.max(ro,oo-1e4-this.spec.unquoted.length),so=stringCursor(this.spec,to,io,oo),ao=null;for(;!so.nextOverlapping().done;)ao=so.value;if(ao)return ao;if(io==ro)return null;oo-=1e4}}prevMatch(to,ro,no){return this.prevMatchInRange(to,0,ro)||this.prevMatchInRange(to,no,to.doc.length)}getReplacement(to){return this.spec.unquote(this.spec.replace)}matchAll(to,ro){let no=stringCursor(this.spec,to,0,to.doc.length),oo=[];for(;!no.next().done;){if(oo.length>=ro)return null;oo.push(no.value)}return oo}highlight(to,ro,no,oo){let io=stringCursor(this.spec,to,Math.max(0,ro-this.spec.unquoted.length),Math.min(no+this.spec.unquoted.length,to.doc.length));for(;!io.next().done;)oo(io.value.from,io.value.to)}}function regexpCursor(eo,to,ro,no){return new RegExpCursor(to.doc,eo.search,{ignoreCase:!eo.caseSensitive,test:eo.wholeWord?regexpWordTest(to.charCategorizer(to.selection.main.head)):void 0},ro,no)}function charBefore(eo,to){return eo.slice(findClusterBreak(eo,to,!1),to)}function charAfter(eo,to){return eo.slice(to,findClusterBreak(eo,to))}function regexpWordTest(eo){return(to,ro,no)=>!no[0].length||(eo(charBefore(no.input,no.index))!=CharCategory.Word||eo(charAfter(no.input,no.index))!=CharCategory.Word)&&(eo(charAfter(no.input,no.index+no[0].length))!=CharCategory.Word||eo(charBefore(no.input,no.index+no[0].length))!=CharCategory.Word)}class RegExpQuery extends QueryType{nextMatch(to,ro,no){let oo=regexpCursor(this.spec,to,no,to.doc.length).next();return oo.done&&(oo=regexpCursor(this.spec,to,0,ro).next()),oo.done?null:oo.value}prevMatchInRange(to,ro,no){for(let oo=1;;oo++){let io=Math.max(ro,no-oo*1e4),so=regexpCursor(this.spec,to,io,no),ao=null;for(;!so.next().done;)ao=so.value;if(ao&&(io==ro||ao.from>io+10))return ao;if(io==ro)return null}}prevMatch(to,ro,no){return this.prevMatchInRange(to,0,ro)||this.prevMatchInRange(to,no,to.doc.length)}getReplacement(to){return this.spec.unquote(this.spec.replace).replace(/\$([$&\d+])/g,(ro,no)=>no=="$"?"$":no=="&"?to.match[0]:no!="0"&&+no<to.match.length?to.match[no]:ro)}matchAll(to,ro){let no=regexpCursor(this.spec,to,0,to.doc.length),oo=[];for(;!no.next().done;){if(oo.length>=ro)return null;oo.push(no.value)}return oo}highlight(to,ro,no,oo){let io=regexpCursor(this.spec,to,Math.max(0,ro-250),Math.min(no+250,to.doc.length));for(;!io.next().done;)oo(io.value.from,io.value.to)}}const setSearchQuery=StateEffect.define(),togglePanel$1=StateEffect.define(),searchState=StateField.define({create(eo){return new SearchState(defaultQuery(eo).create(),null)},update(eo,to){for(let ro of to.effects)ro.is(setSearchQuery)?eo=new SearchState(ro.value.create(),eo.panel):ro.is(togglePanel$1)&&(eo=new SearchState(eo.query,ro.value?createSearchPanel:null));return eo},provide:eo=>showPanel.from(eo,to=>to.panel)});class SearchState{constructor(to,ro){this.query=to,this.panel=ro}}const matchMark=Decoration.mark({class:"cm-searchMatch"}),selectedMatchMark=Decoration.mark({class:"cm-searchMatch cm-searchMatch-selected"}),searchHighlighter=ViewPlugin.fromClass(class{constructor(eo){this.view=eo,this.decorations=this.highlight(eo.state.field(searchState))}update(eo){let to=eo.state.field(searchState);(to!=eo.startState.field(searchState)||eo.docChanged||eo.selectionSet||eo.viewportChanged)&&(this.decorations=this.highlight(to))}highlight({query:eo,panel:to}){if(!to||!eo.spec.valid)return Decoration.none;let{view:ro}=this,no=new RangeSetBuilder;for(let oo=0,io=ro.visibleRanges,so=io.length;oo<so;oo++){let{from:ao,to:lo}=io[oo];for(;oo<so-1&&lo>io[oo+1].from-2*250;)lo=io[++oo].to;eo.highlight(ro.state,ao,lo,(uo,co)=>{let fo=ro.state.selection.ranges.some(ho=>ho.from==uo&&ho.to==co);no.add(uo,co,fo?selectedMatchMark:matchMark)})}return no.finish()}},{decorations:eo=>eo.decorations});function searchCommand(eo){return to=>{let ro=to.state.field(searchState,!1);return ro&&ro.query.spec.valid?eo(to,ro):openSearchPanel(to)}}const findNext=searchCommand((eo,{query:to})=>{let{to:ro}=eo.state.selection.main,no=to.nextMatch(eo.state,ro,ro);if(!no)return!1;let oo=EditorSelection.single(no.from,no.to),io=eo.state.facet(searchConfigFacet);return eo.dispatch({selection:oo,effects:[announceMatch(eo,no),io.scrollToMatch(oo.main,eo)],userEvent:"select.search"}),selectSearchInput(eo),!0}),findPrevious=searchCommand((eo,{query:to})=>{let{state:ro}=eo,{from:no}=ro.selection.main,oo=to.prevMatch(ro,no,no);if(!oo)return!1;let io=EditorSelection.single(oo.from,oo.to),so=eo.state.facet(searchConfigFacet);return eo.dispatch({selection:io,effects:[announceMatch(eo,oo),so.scrollToMatch(io.main,eo)],userEvent:"select.search"}),selectSearchInput(eo),!0}),selectMatches=searchCommand((eo,{query:to})=>{let ro=to.matchAll(eo.state,1e3);return!ro||!ro.length?!1:(eo.dispatch({selection:EditorSelection.create(ro.map(no=>EditorSelection.range(no.from,no.to))),userEvent:"select.search.matches"}),!0)}),selectSelectionMatches=({state:eo,dispatch:to})=>{let ro=eo.selection;if(ro.ranges.length>1||ro.main.empty)return!1;let{from:no,to:oo}=ro.main,io=[],so=0;for(let ao=new SearchCursor(eo.doc,eo.sliceDoc(no,oo));!ao.next().done;){if(io.length>1e3)return!1;ao.value.from==no&&(so=io.length),io.push(EditorSelection.range(ao.value.from,ao.value.to))}return to(eo.update({selection:EditorSelection.create(io,so),userEvent:"select.search.matches"})),!0},replaceNext=searchCommand((eo,{query:to})=>{let{state:ro}=eo,{from:no,to:oo}=ro.selection.main;if(ro.readOnly)return!1;let io=to.nextMatch(ro,no,no);if(!io)return!1;let so=[],ao,lo,uo=[];if(io.from==no&&io.to==oo&&(lo=ro.toText(to.getReplacement(io)),so.push({from:io.from,to:io.to,insert:lo}),io=to.nextMatch(ro,io.from,io.to),uo.push(EditorView.announce.of(ro.phrase("replaced match on line $",ro.doc.lineAt(no).number)+"."))),io){let co=so.length==0||so[0].from>=io.to?0:io.to-io.from-lo.length;ao=EditorSelection.single(io.from-co,io.to-co),uo.push(announceMatch(eo,io)),uo.push(ro.facet(searchConfigFacet).scrollToMatch(ao.main,eo))}return eo.dispatch({changes:so,selection:ao,effects:uo,userEvent:"input.replace"}),!0}),replaceAll=searchCommand((eo,{query:to})=>{if(eo.state.readOnly)return!1;let ro=to.matchAll(eo.state,1e9).map(oo=>{let{from:io,to:so}=oo;return{from:io,to:so,insert:to.getReplacement(oo)}});if(!ro.length)return!1;let no=eo.state.phrase("replaced $ matches",ro.length)+".";return eo.dispatch({changes:ro,effects:EditorView.announce.of(no),userEvent:"input.replace.all"}),!0});function createSearchPanel(eo){return eo.state.facet(searchConfigFacet).createPanel(eo)}function defaultQuery(eo,to){var ro,no,oo,io,so;let ao=eo.selection.main,lo=ao.empty||ao.to>ao.from+100?"":eo.sliceDoc(ao.from,ao.to);if(to&&!lo)return to;let uo=eo.facet(searchConfigFacet);return new SearchQuery({search:((ro=to==null?void 0:to.literal)!==null&&ro!==void 0?ro:uo.literal)?lo:lo.replace(/\n/g,"\\n"),caseSensitive:(no=to==null?void 0:to.caseSensitive)!==null&&no!==void 0?no:uo.caseSensitive,literal:(oo=to==null?void 0:to.literal)!==null&&oo!==void 0?oo:uo.literal,regexp:(io=to==null?void 0:to.regexp)!==null&&io!==void 0?io:uo.regexp,wholeWord:(so=to==null?void 0:to.wholeWord)!==null&&so!==void 0?so:uo.wholeWord})}function getSearchInput(eo){let to=getPanel(eo,createSearchPanel);return to&&to.dom.querySelector("[main-field]")}function selectSearchInput(eo){let to=getSearchInput(eo);to&&to==eo.root.activeElement&&to.select()}const openSearchPanel=eo=>{let to=eo.state.field(searchState,!1);if(to&&to.panel){let ro=getSearchInput(eo);if(ro&&ro!=eo.root.activeElement){let no=defaultQuery(eo.state,to.query.spec);no.valid&&eo.dispatch({effects:setSearchQuery.of(no)}),ro.focus(),ro.select()}}else eo.dispatch({effects:[togglePanel$1.of(!0),to?setSearchQuery.of(defaultQuery(eo.state,to.query.spec)):StateEffect.appendConfig.of(searchExtensions)]});return!0},closeSearchPanel=eo=>{let to=eo.state.field(searchState,!1);if(!to||!to.panel)return!1;let ro=getPanel(eo,createSearchPanel);return ro&&ro.dom.contains(eo.root.activeElement)&&eo.focus(),eo.dispatch({effects:togglePanel$1.of(!1)}),!0},searchKeymap=[{key:"Mod-f",run:openSearchPanel,scope:"editor search-panel"},{key:"F3",run:findNext,shift:findPrevious,scope:"editor search-panel",preventDefault:!0},{key:"Mod-g",run:findNext,shift:findPrevious,scope:"editor search-panel",preventDefault:!0},{key:"Escape",run:closeSearchPanel,scope:"editor search-panel"},{key:"Mod-Shift-l",run:selectSelectionMatches},{key:"Mod-Alt-g",run:gotoLine},{key:"Mod-d",run:selectNextOccurrence,preventDefault:!0}];class SearchPanel{constructor(to){this.view=to;let ro=this.query=to.state.field(searchState).query.spec;this.commit=this.commit.bind(this),this.searchField=crelt("input",{value:ro.search,placeholder:phrase(to,"Find"),"aria-label":phrase(to,"Find"),class:"cm-textfield",name:"search",form:"","main-field":"true",onchange:this.commit,onkeyup:this.commit}),this.replaceField=crelt("input",{value:ro.replace,placeholder:phrase(to,"Replace"),"aria-label":phrase(to,"Replace"),class:"cm-textfield",name:"replace",form:"",onchange:this.commit,onkeyup:this.commit}),this.caseField=crelt("input",{type:"checkbox",name:"case",form:"",checked:ro.caseSensitive,onchange:this.commit}),this.reField=crelt("input",{type:"checkbox",name:"re",form:"",checked:ro.regexp,onchange:this.commit}),this.wordField=crelt("input",{type:"checkbox",name:"word",form:"",checked:ro.wholeWord,onchange:this.commit});function no(oo,io,so){return crelt("button",{class:"cm-button",name:oo,onclick:io,type:"button"},so)}this.dom=crelt("div",{onkeydown:oo=>this.keydown(oo),class:"cm-search"},[this.searchField,no("next",()=>findNext(to),[phrase(to,"next")]),no("prev",()=>findPrevious(to),[phrase(to,"previous")]),no("select",()=>selectMatches(to),[phrase(to,"all")]),crelt("label",null,[this.caseField,phrase(to,"match case")]),crelt("label",null,[this.reField,phrase(to,"regexp")]),crelt("label",null,[this.wordField,phrase(to,"by word")]),...to.state.readOnly?[]:[crelt("br"),this.replaceField,no("replace",()=>replaceNext(to),[phrase(to,"replace")]),no("replaceAll",()=>replaceAll(to),[phrase(to,"replace all")])],crelt("button",{name:"close",onclick:()=>closeSearchPanel(to),"aria-label":phrase(to,"close"),type:"button"},["×"])])}commit(){let to=new SearchQuery({search:this.searchField.value,caseSensitive:this.caseField.checked,regexp:this.reField.checked,wholeWord:this.wordField.checked,replace:this.replaceField.value});to.eq(this.query)||(this.query=to,this.view.dispatch({effects:setSearchQuery.of(to)}))}keydown(to){runScopeHandlers(this.view,to,"search-panel")?to.preventDefault():to.keyCode==13&&to.target==this.searchField?(to.preventDefault(),(to.shiftKey?findPrevious:findNext)(this.view)):to.keyCode==13&&to.target==this.replaceField&&(to.preventDefault(),replaceNext(this.view))}update(to){for(let ro of to.transactions)for(let no of ro.effects)no.is(setSearchQuery)&&!no.value.eq(this.query)&&this.setQuery(no.value)}setQuery(to){this.query=to,this.searchField.value=to.search,this.replaceField.value=to.replace,this.caseField.checked=to.caseSensitive,this.reField.checked=to.regexp,this.wordField.checked=to.wholeWord}mount(){this.searchField.select()}get pos(){return 80}get top(){return this.view.state.facet(searchConfigFacet).top}}function phrase(eo,to){return eo.state.phrase(to)}const AnnounceMargin=30,Break=/[\s\.,:;?!]/;function announceMatch(eo,{from:to,to:ro}){let no=eo.state.doc.lineAt(to),oo=eo.state.doc.lineAt(ro).to,io=Math.max(no.from,to-AnnounceMargin),so=Math.min(oo,ro+AnnounceMargin),ao=eo.state.sliceDoc(io,so);if(io!=no.from){for(let lo=0;lo<AnnounceMargin;lo++)if(!Break.test(ao[lo+1])&&Break.test(ao[lo])){ao=ao.slice(lo);break}}if(so!=oo){for(let lo=ao.length-1;lo>ao.length-AnnounceMargin;lo--)if(!Break.test(ao[lo-1])&&Break.test(ao[lo])){ao=ao.slice(0,lo);break}}return EditorView.announce.of(`${eo.state.phrase("current match")}. ${ao} ${eo.state.phrase("on line")} ${no.number}.`)}const baseTheme$2=EditorView.baseTheme({".cm-panel.cm-search":{padding:"2px 6px 4px",position:"relative","& [name=close]":{position:"absolute",top:"0",right:"4px",backgroundColor:"inherit",border:"none",font:"inherit",padding:0,margin:0},"& input, & button, & label":{margin:".2em .6em .2em 0"},"& input[type=checkbox]":{marginRight:".2em"},"& label":{fontSize:"80%",whiteSpace:"pre"}},"&light .cm-searchMatch":{backgroundColor:"#ffff0054"},"&dark .cm-searchMatch":{backgroundColor:"#00ffff8a"},"&light .cm-searchMatch-selected":{backgroundColor:"#ff6a0054"},"&dark .cm-searchMatch-selected":{backgroundColor:"#ff00ff8a"}}),searchExtensions=[searchState,Prec.low(searchHighlighter),baseTheme$2];class SelectedDiagnostic{constructor(to,ro,no){this.from=to,this.to=ro,this.diagnostic=no}}class LintState{constructor(to,ro,no){this.diagnostics=to,this.panel=ro,this.selected=no}static init(to,ro,no){let oo=to,io=no.facet(lintConfig).markerFilter;io&&(oo=io(oo,no));let so=Decoration.set(oo.map(ao=>ao.from==ao.to||ao.from==ao.to-1&&no.doc.lineAt(ao.from).to==ao.from?Decoration.widget({widget:new DiagnosticWidget(ao),diagnostic:ao}).range(ao.from):Decoration.mark({attributes:{class:"cm-lintRange cm-lintRange-"+ao.severity+(ao.markClass?" "+ao.markClass:"")},diagnostic:ao,inclusive:!0}).range(ao.from,ao.to)),!0);return new LintState(so,ro,findDiagnostic(so))}}function findDiagnostic(eo,to=null,ro=0){let no=null;return eo.between(ro,1e9,(oo,io,{spec:so})=>{if(!(to&&so.diagnostic!=to))return no=new SelectedDiagnostic(oo,io,so.diagnostic),!1}),no}function hideTooltip(eo,to){let ro=eo.startState.doc.lineAt(to.pos);return!!(eo.effects.some(no=>no.is(setDiagnosticsEffect))||eo.changes.touchesRange(ro.from,ro.to))}function maybeEnableLint(eo,to){return eo.field(lintState,!1)?to:to.concat(StateEffect.appendConfig.of(lintExtensions))}const setDiagnosticsEffect=StateEffect.define(),togglePanel=StateEffect.define(),movePanelSelection=StateEffect.define(),lintState=StateField.define({create(){return new LintState(Decoration.none,null,null)},update(eo,to){if(to.docChanged){let ro=eo.diagnostics.map(to.changes),no=null;if(eo.selected){let oo=to.changes.mapPos(eo.selected.from,1);no=findDiagnostic(ro,eo.selected.diagnostic,oo)||findDiagnostic(ro,null,oo)}eo=new LintState(ro,eo.panel,no)}for(let ro of to.effects)ro.is(setDiagnosticsEffect)?eo=LintState.init(ro.value,eo.panel,to.state):ro.is(togglePanel)?eo=new LintState(eo.diagnostics,ro.value?LintPanel.open:null,eo.selected):ro.is(movePanelSelection)&&(eo=new LintState(eo.diagnostics,eo.panel,ro.value));return eo},provide:eo=>[showPanel.from(eo,to=>to.panel),EditorView.decorations.from(eo,to=>to.diagnostics)]}),activeMark=Decoration.mark({class:"cm-lintRange cm-lintRange-active",inclusive:!0});function lintTooltip(eo,to,ro){let{diagnostics:no}=eo.state.field(lintState),oo=[],io=2e8,so=0;no.between(to-(ro<0?1:0),to+(ro>0?1:0),(lo,uo,{spec:co})=>{to>=lo&&to<=uo&&(lo==uo||(to>lo||ro>0)&&(to<uo||ro<0))&&(oo.push(co.diagnostic),io=Math.min(lo,io),so=Math.max(uo,so))});let ao=eo.state.facet(lintConfig).tooltipFilter;return ao&&(oo=ao(oo,eo.state)),oo.length?{pos:io,end:so,above:eo.state.doc.lineAt(io).to<so,create(){return{dom:diagnosticsTooltip(eo,oo)}}}:null}function diagnosticsTooltip(eo,to){return crelt("ul",{class:"cm-tooltip-lint"},to.map(ro=>renderDiagnostic(eo,ro,!1)))}const openLintPanel=eo=>{let to=eo.state.field(lintState,!1);(!to||!to.panel)&&eo.dispatch({effects:maybeEnableLint(eo.state,[togglePanel.of(!0)])});let ro=getPanel(eo,LintPanel.open);return ro&&ro.dom.querySelector(".cm-panel-lint ul").focus(),!0},closeLintPanel=eo=>{let to=eo.state.field(lintState,!1);return!to||!to.panel?!1:(eo.dispatch({effects:togglePanel.of(!1)}),!0)},nextDiagnostic=eo=>{let to=eo.state.field(lintState,!1);if(!to)return!1;let ro=eo.state.selection.main,no=to.diagnostics.iter(ro.to+1);return!no.value&&(no=to.diagnostics.iter(0),!no.value||no.from==ro.from&&no.to==ro.to)?!1:(eo.dispatch({selection:{anchor:no.from,head:no.to},scrollIntoView:!0}),!0)},lintKeymap=[{key:"Mod-Shift-m",run:openLintPanel,preventDefault:!0},{key:"F8",run:nextDiagnostic}],lintConfig=Facet.define({combine(eo){return Object.assign({sources:eo.map(to=>to.source).filter(to=>to!=null)},combineConfig(eo.map(to=>to.config),{delay:750,markerFilter:null,tooltipFilter:null,needsRefresh:null},{needsRefresh:(to,ro)=>to?ro?no=>to(no)||ro(no):to:ro}))}});function assignKeys(eo){let to=[];if(eo)e:for(let{name:ro}of eo){for(let no=0;no<ro.length;no++){let oo=ro[no];if(/[a-zA-Z]/.test(oo)&&!to.some(io=>io.toLowerCase()==oo.toLowerCase())){to.push(oo);continue e}}to.push("")}return to}function renderDiagnostic(eo,to,ro){var no;let oo=ro?assignKeys(to.actions):[];return crelt("li",{class:"cm-diagnostic cm-diagnostic-"+to.severity},crelt("span",{class:"cm-diagnosticText"},to.renderMessage?to.renderMessage():to.message),(no=to.actions)===null||no===void 0?void 0:no.map((io,so)=>{let ao=!1,lo=ho=>{if(ho.preventDefault(),ao)return;ao=!0;let po=findDiagnostic(eo.state.field(lintState).diagnostics,to);po&&io.apply(eo,po.from,po.to)},{name:uo}=io,co=oo[so]?uo.indexOf(oo[so]):-1,fo=co<0?uo:[uo.slice(0,co),crelt("u",uo.slice(co,co+1)),uo.slice(co+1)];return crelt("button",{type:"button",class:"cm-diagnosticAction",onclick:lo,onmousedown:lo,"aria-label":` Action: ${uo}${co<0?"":` (access key "${oo[so]})"`}.`},fo)}),to.source&&crelt("div",{class:"cm-diagnosticSource"},to.source))}class DiagnosticWidget extends WidgetType{constructor(to){super(),this.diagnostic=to}eq(to){return to.diagnostic==this.diagnostic}toDOM(){return crelt("span",{class:"cm-lintPoint cm-lintPoint-"+this.diagnostic.severity})}}class PanelItem{constructor(to,ro){this.diagnostic=ro,this.id="item_"+Math.floor(Math.random()*4294967295).toString(16),this.dom=renderDiagnostic(to,ro,!0),this.dom.id=this.id,this.dom.setAttribute("role","option")}}class LintPanel{constructor(to){this.view=to,this.items=[];let ro=oo=>{if(oo.keyCode==27)closeLintPanel(this.view),this.view.focus();else if(oo.keyCode==38||oo.keyCode==33)this.moveSelection((this.selectedIndex-1+this.items.length)%this.items.length);else if(oo.keyCode==40||oo.keyCode==34)this.moveSelection((this.selectedIndex+1)%this.items.length);else if(oo.keyCode==36)this.moveSelection(0);else if(oo.keyCode==35)this.moveSelection(this.items.length-1);else if(oo.keyCode==13)this.view.focus();else if(oo.keyCode>=65&&oo.keyCode<=90&&this.selectedIndex>=0){let{diagnostic:io}=this.items[this.selectedIndex],so=assignKeys(io.actions);for(let ao=0;ao<so.length;ao++)if(so[ao].toUpperCase().charCodeAt(0)==oo.keyCode){let lo=findDiagnostic(this.view.state.field(lintState).diagnostics,io);lo&&io.actions[ao].apply(to,lo.from,lo.to)}}else return;oo.preventDefault()},no=oo=>{for(let io=0;io<this.items.length;io++)this.items[io].dom.contains(oo.target)&&this.moveSelection(io)};this.list=crelt("ul",{tabIndex:0,role:"listbox","aria-label":this.view.state.phrase("Diagnostics"),onkeydown:ro,onclick:no}),this.dom=crelt("div",{class:"cm-panel-lint"},this.list,crelt("button",{type:"button",name:"close","aria-label":this.view.state.phrase("close"),onclick:()=>closeLintPanel(this.view)},"×")),this.update()}get selectedIndex(){let to=this.view.state.field(lintState).selected;if(!to)return-1;for(let ro=0;ro<this.items.length;ro++)if(this.items[ro].diagnostic==to.diagnostic)return ro;return-1}update(){let{diagnostics:to,selected:ro}=this.view.state.field(lintState),no=0,oo=!1,io=null;for(to.between(0,this.view.state.doc.length,(so,ao,{spec:lo})=>{let uo=-1,co;for(let fo=no;fo<this.items.length;fo++)if(this.items[fo].diagnostic==lo.diagnostic){uo=fo;break}uo<0?(co=new PanelItem(this.view,lo.diagnostic),this.items.splice(no,0,co),oo=!0):(co=this.items[uo],uo>no&&(this.items.splice(no,uo-no),oo=!0)),ro&&co.diagnostic==ro.diagnostic?co.dom.hasAttribute("aria-selected")||(co.dom.setAttribute("aria-selected","true"),io=co):co.dom.hasAttribute("aria-selected")&&co.dom.removeAttribute("aria-selected"),no++});no<this.items.length&&!(this.items.length==1&&this.items[0].diagnostic.from<0);)oo=!0,this.items.pop();this.items.length==0&&(this.items.push(new PanelItem(this.view,{from:-1,to:-1,severity:"info",message:this.view.state.phrase("No diagnostics")})),oo=!0),io?(this.list.setAttribute("aria-activedescendant",io.id),this.view.requestMeasure({key:this,read:()=>({sel:io.dom.getBoundingClientRect(),panel:this.list.getBoundingClientRect()}),write:({sel:so,panel:ao})=>{let lo=ao.height/this.list.offsetHeight;so.top<ao.top?this.list.scrollTop-=(ao.top-so.top)/lo:so.bottom>ao.bottom&&(this.list.scrollTop+=(so.bottom-ao.bottom)/lo)}})):this.selectedIndex<0&&this.list.removeAttribute("aria-activedescendant"),oo&&this.sync()}sync(){let to=this.list.firstChild;function ro(){let no=to;to=no.nextSibling,no.remove()}for(let no of this.items)if(no.dom.parentNode==this.list){for(;to!=no.dom;)ro();to=no.dom.nextSibling}else this.list.insertBefore(no.dom,to);for(;to;)ro()}moveSelection(to){if(this.selectedIndex<0)return;let ro=this.view.state.field(lintState),no=findDiagnostic(ro.diagnostics,this.items[to].diagnostic);no&&this.view.dispatch({selection:{anchor:no.from,head:no.to},scrollIntoView:!0,effects:movePanelSelection.of(no)})}static open(to){return new LintPanel(to)}}function svg(eo,to='viewBox="0 0 40 40"'){return`url('data:image/svg+xml,<svg xmlns="http://www.w3.org/2000/svg" ${to}>${encodeURIComponent(eo)}</svg>')`}function underline(eo){return svg(`<path d="m0 2.5 l2 -1.5 l1 0 l2 1.5 l1 0" stroke="${eo}" fill="none" stroke-width=".7"/>`,'width="6" height="3"')}const baseTheme=EditorView.baseTheme({".cm-diagnostic":{padding:"3px 6px 3px 8px",marginLeft:"-1px",display:"block",whiteSpace:"pre-wrap"},".cm-diagnostic-error":{borderLeft:"5px solid #d11"},".cm-diagnostic-warning":{borderLeft:"5px solid orange"},".cm-diagnostic-info":{borderLeft:"5px solid #999"},".cm-diagnostic-hint":{borderLeft:"5px solid #66d"},".cm-diagnosticAction":{font:"inherit",border:"none",padding:"2px 4px",backgroundColor:"#444",color:"white",borderRadius:"3px",marginLeft:"8px",cursor:"pointer"},".cm-diagnosticSource":{fontSize:"70%",opacity:.7},".cm-lintRange":{backgroundPosition:"left bottom",backgroundRepeat:"repeat-x",paddingBottom:"0.7px"},".cm-lintRange-error":{backgroundImage:underline("#d11")},".cm-lintRange-warning":{backgroundImage:underline("orange")},".cm-lintRange-info":{backgroundImage:underline("#999")},".cm-lintRange-hint":{backgroundImage:underline("#66d")},".cm-lintRange-active":{backgroundColor:"#ffdd9980"},".cm-tooltip-lint":{padding:0,margin:0},".cm-lintPoint":{position:"relative","&:after":{content:'""',position:"absolute",bottom:0,left:"-2px",borderLeft:"3px solid transparent",borderRight:"3px solid transparent",borderBottom:"4px solid #d11"}},".cm-lintPoint-warning":{"&:after":{borderBottomColor:"orange"}},".cm-lintPoint-info":{"&:after":{borderBottomColor:"#999"}},".cm-lintPoint-hint":{"&:after":{borderBottomColor:"#66d"}},".cm-panel.cm-panel-lint":{position:"relative","& ul":{maxHeight:"100px",overflowY:"auto","& [aria-selected]":{backgroundColor:"#ddd","& u":{textDecoration:"underline"}},"&:focus [aria-selected]":{background_fallback:"#bdf",backgroundColor:"Highlight",color_fallback:"white",color:"HighlightText"},"& u":{textDecoration:"none"},padding:0,margin:0},"& [name=close]":{position:"absolute",top:"0",right:"2px",background:"inherit",border:"none",font:"inherit",padding:0,margin:0}}}),lintExtensions=[lintState,EditorView.decorations.compute([lintState],eo=>{let{selected:to,panel:ro}=eo.field(lintState);return!to||!ro||to.from==to.to?Decoration.none:Decoration.set([activeMark.range(to.from,to.to)])}),hoverTooltip(lintTooltip,{hideOn:hideTooltip}),baseTheme];var basicSetup=function eo(to){to===void 0&&(to={});var{crosshairCursor:ro=!1}=to,no=[];to.closeBracketsKeymap!==!1&&(no=no.concat(closeBracketsKeymap)),to.defaultKeymap!==!1&&(no=no.concat(defaultKeymap)),to.searchKeymap!==!1&&(no=no.concat(searchKeymap)),to.historyKeymap!==!1&&(no=no.concat(historyKeymap)),to.foldKeymap!==!1&&(no=no.concat(foldKeymap)),to.completionKeymap!==!1&&(no=no.concat(completionKeymap)),to.lintKeymap!==!1&&(no=no.concat(lintKeymap));var oo=[];return to.lineNumbers!==!1&&oo.push(lineNumbers()),to.highlightActiveLineGutter!==!1&&oo.push(highlightActiveLineGutter()),to.highlightSpecialChars!==!1&&oo.push(highlightSpecialChars()),to.history!==!1&&oo.push(history()),to.foldGutter!==!1&&oo.push(foldGutter()),to.drawSelection!==!1&&oo.push(drawSelection()),to.dropCursor!==!1&&oo.push(dropCursor()),to.allowMultipleSelections!==!1&&oo.push(EditorState.allowMultipleSelections.of(!0)),to.indentOnInput!==!1&&oo.push(indentOnInput()),to.syntaxHighlighting!==!1&&oo.push(syntaxHighlighting(defaultHighlightStyle,{fallback:!0})),to.bracketMatching!==!1&&oo.push(bracketMatching()),to.closeBrackets!==!1&&oo.push(closeBrackets()),to.autocompletion!==!1&&oo.push(autocompletion()),to.rectangularSelection!==!1&&oo.push(rectangularSelection()),ro!==!1&&oo.push(crosshairCursor()),to.highlightActiveLine!==!1&&oo.push(highlightActiveLine()),to.highlightSelectionMatches!==!1&&oo.push(highlightSelectionMatches()),to.tabSize&&typeof to.tabSize=="number"&&oo.push(indentUnit.of(" ".repeat(to.tabSize))),oo.concat([keymap.of(no.flat())]).filter(Boolean)};const chalky="#e5c07b",coral="#e06c75",cyan="#56b6c2",invalid="#ffffff",ivory="#abb2bf",stone="#7d8799",malibu="#61afef",sage="#98c379",whiskey="#d19a66",violet="#c678dd",darkBackground="#21252b",highlightBackground="#2c313a",background="#282c34",tooltipBackground="#353a42",selection="#3E4451",cursor="#528bff",oneDarkTheme=EditorView.theme({"&":{color:ivory,backgroundColor:background},".cm-content":{caretColor:cursor},".cm-cursor, .cm-dropCursor":{borderLeftColor:cursor},"&.cm-focused > .cm-scroller > .cm-selectionLayer .cm-selectionBackground, .cm-selectionBackground, .cm-content ::selection":{backgroundColor:selection},".cm-panels":{backgroundColor:darkBackground,color:ivory},".cm-panels.cm-panels-top":{borderBottom:"2px solid black"},".cm-panels.cm-panels-bottom":{borderTop:"2px solid black"},".cm-searchMatch":{backgroundColor:"#72a1ff59",outline:"1px solid #457dff"},".cm-searchMatch.cm-searchMatch-selected":{backgroundColor:"#6199ff2f"},".cm-activeLine":{backgroundColor:"#6699ff0b"},".cm-selectionMatch":{backgroundColor:"#aafe661a"},"&.cm-focused .cm-matchingBracket, &.cm-focused .cm-nonmatchingBracket":{backgroundColor:"#bad0f847"},".cm-gutters":{backgroundColor:background,color:stone,border:"none"},".cm-activeLineGutter":{backgroundColor:highlightBackground},".cm-foldPlaceholder":{backgroundColor:"transparent",border:"none",color:"#ddd"},".cm-tooltip":{border:"none",backgroundColor:tooltipBackground},".cm-tooltip .cm-tooltip-arrow:before":{borderTopColor:"transparent",borderBottomColor:"transparent"},".cm-tooltip .cm-tooltip-arrow:after":{borderTopColor:tooltipBackground,borderBottomColor:tooltipBackground},".cm-tooltip-autocomplete":{"& > ul > li[aria-selected]":{backgroundColor:highlightBackground,color:ivory}}},{dark:!0}),oneDarkHighlightStyle=HighlightStyle.define([{tag:tags.keyword,color:violet},{tag:[tags.name,tags.deleted,tags.character,tags.propertyName,tags.macroName],color:coral},{tag:[tags.function(tags.variableName),tags.labelName],color:malibu},{tag:[tags.color,tags.constant(tags.name),tags.standard(tags.name)],color:whiskey},{tag:[tags.definition(tags.name),tags.separator],color:ivory},{tag:[tags.typeName,tags.className,tags.number,tags.changed,tags.annotation,tags.modifier,tags.self,tags.namespace],color:chalky},{tag:[tags.operator,tags.operatorKeyword,tags.url,tags.escape,tags.regexp,tags.link,tags.special(tags.string)],color:cyan},{tag:[tags.meta,tags.comment],color:stone},{tag:tags.strong,fontWeight:"bold"},{tag:tags.emphasis,fontStyle:"italic"},{tag:tags.strikethrough,textDecoration:"line-through"},{tag:tags.link,color:stone,textDecoration:"underline"},{tag:tags.heading,fontWeight:"bold",color:coral},{tag:[tags.atom,tags.bool,tags.special(tags.variableName)],color:whiskey},{tag:[tags.processingInstruction,tags.string,tags.inserted],color:sage},{tag:tags.invalid,color:invalid}]),oneDark=[oneDarkTheme,syntaxHighlighting(oneDarkHighlightStyle)];var defaultLightThemeOption=EditorView.theme({"&":{backgroundColor:"#fff"}},{dark:!1}),getDefaultExtensions=function eo(to){to===void 0&&(to={});var{indentWithTab:ro=!0,editable:no=!0,readOnly:oo=!1,theme:io="light",placeholder:so="",basicSetup:ao=!0}=to,lo=[];switch(ro&&lo.unshift(keymap.of([indentWithTab])),ao&&(typeof ao=="boolean"?lo.unshift(basicSetup()):lo.unshift(basicSetup(ao))),so&&lo.unshift(placeholder(so)),io){case"light":lo.push(defaultLightThemeOption);break;case"dark":lo.push(oneDark);break;case"none":break;default:lo.push(io);break}return no===!1&&lo.push(EditorView.editable.of(!1)),oo&&lo.push(EditorState.readOnly.of(!0)),[...lo]},getStatistics=eo=>({line:eo.state.doc.lineAt(eo.state.selection.main.from),lineCount:eo.state.doc.lines,lineBreak:eo.state.lineBreak,length:eo.state.doc.length,readOnly:eo.state.readOnly,tabSize:eo.state.tabSize,selection:eo.state.selection,selectionAsSingle:eo.state.selection.asSingle().main,ranges:eo.state.selection.ranges,selectionCode:eo.state.sliceDoc(eo.state.selection.main.from,eo.state.selection.main.to),selections:eo.state.selection.ranges.map(to=>eo.state.sliceDoc(to.from,to.to)),selectedText:eo.state.selection.ranges.some(to=>!to.empty)}),External=Annotation.define(),emptyExtensions=[];function useCodeMirror(eo){var{value:to,selection:ro,onChange:no,onStatistics:oo,onCreateEditor:io,onUpdate:so,extensions:ao=emptyExtensions,autoFocus:lo,theme:uo="light",height:co=null,minHeight:fo=null,maxHeight:ho=null,width:po=null,minWidth:go=null,maxWidth:vo=null,placeholder:bo="",editable:xo=!0,readOnly:_o=!1,indentWithTab:Eo=!0,basicSetup:So=!0,root:To,initialState:wo}=eo,[Co,Oo]=reactExports.useState(),[Ao,Ro]=reactExports.useState(),[No,Mo]=reactExports.useState(),Do=EditorView.theme({"&":{height:co,minHeight:fo,maxHeight:ho,width:po,minWidth:go,maxWidth:vo},"& .cm-scroller":{height:"100% !important"}}),jo=EditorView.updateListener.of(Lo=>{if(Lo.docChanged&&typeof no=="function"&&!Lo.transactions.some(Uo=>Uo.annotation(External))){var Ho=Lo.state.doc,qo=Ho.toString();no(qo,Lo)}oo&&oo(getStatistics(Lo))}),Fo=getDefaultExtensions({theme:uo,editable:xo,readOnly:_o,placeholder:bo,indentWithTab:Eo,basicSetup:So}),$o=[jo,Do,...Fo];return so&&typeof 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jsxRuntimeExports.jsx(Provider,{viewModel:to,isDark:ro,children:jsxRuntimeExports.jsx(TraceViewContent,{...eo})})},TraceViewContent=({hash:eo,setHash:to})=>{const ro=useClasses$1(),no=useIsTraceDetailOpen(),oo=useSetIsTraceDetailOpen(),io=useTraceViewModel(),[so,ao]=reactExports.useState(!1),[lo,uo]=React.useState(!1),[co,fo]=React.useState(!1),ho=useSelectedTrace(),po=useLocalFetchSummary(),go=useFetchLocalSpans();useLocalFetchSummaries(eo,so),useLocalFetchRunningTraces();const vo=useLocalTraceDetailDidOpen(to),bo=useLocalOnTraceDetailClose(to),xo=useLocalRefreshTraces(eo),_o=useLocalOnRefreshSpans();return reactExports.useEffect(()=>{io.traceDetailDidOpen(vo),io.traceDetailDidClose(bo),io.setOnRefreshTraces(xo),io.onRefreshSpans(_o)},[_o,xo,bo,vo,io]),reactExports.useEffect(()=>{let Eo;return lo&&no&&ho&&co&&(Eo=setInterval(()=>{const So=[ho==null?void 0:ho.trace_id,...Object.values((ho==null?void 0:ho.evaluations)??[]).map(To=>To.trace_id)].filter(To=>To!==void 0);go(So),ho.trace_id&&po(ho.trace_id)},SPAN_POLLING_GAP)),()=>{Eo&&clearInterval(Eo)}},[co,ho,no,io,lo,po,go]),reactExports.useEffect(()=>{no&&ho&&(checkStatus(ho.status,"Running")?uo(!0):uo(!1))},[po,no,ho]),jsxRuntimeExports.jsxs(jsxRuntimeExports.Fragment,{children:[jsxRuntimeExports.jsxs("div",{className:ro.wrapper,children:[jsxRuntimeExports.jsx(LocalCommonHeader,{isStreaming:so,onIsStreamingChange:ao,showRefresh:!0,slot:jsxRuntimeExports.jsx(LocalOverallMetric,{hash:eo})}),jsxRuntimeExports.jsx(TraceFilter,{hash:eo,setHash:to}),jsxRuntimeExports.jsx(TraceList,{className:ro.grid,onRowClick:()=>{oo(!0)}})]}),jsxRuntimeExports.jsx(DefaultDetailContainer,{isOpen:no,setIsOpen:oo,header:jsxRuntimeExports.jsx(TraceDetailHeader,{setIsTraceDetailOpen:oo,showStreamSwitch:lo,isStreaming:co,onIsStreamingChange:fo}),content:jsxRuntimeExports.jsx(TraceDetail,{})})]})},useClasses$1=makeStyles({header:{display:"flex",width:"100%"},wrapper:{display:"flex",flexDirection:"column",height:"100%"},divider:{flexGrow:0,...shorthands.margin("16px",0)},grid:{flexGrow:1}});window.TraceView_Version="20240401.4-main";const TraceViewApp=()=>{const[eo,to]=useHashObject(),ro=useClasses(),no=React.useMemo(()=>new TraceViewModel({spanConfig:{fetchSpanEvent}}),[]);return reactExports.useEffect(()=>{isNotNullOrUndefined(eo.uiTraceId)&&no.setTraceDetailOpen(!0,eo.uiTraceId)},[no,eo.uiTraceId]),jsxRuntimeExports.jsx(ThemeContextProvider,{children:jsxRuntimeExports.jsx(ThemeContext.Consumer,{children:({theme:oo})=>{const io=oo==="dark";return jsxRuntimeExports.jsxs(FluentProvider,{theme:io?webDarkTheme:webLightTheme,style:{height:"100%",width:"100%"},children:[jsxRuntimeExports.jsx("style",{dangerouslySetInnerHTML:{__html:`
+                    html,
+                    body {
+                      height: 100%;
+                      width: 100%;
+                      padding: 0;
+                      margin: 0;
+                      box-sizing: border-box;
+                      overflow: hidden;
+                      font-family: -apple-system, BlinkMacSystemFont, "Segoe UI", "Roboto", "Oxygen", "Ubuntu", "Cantarell", "Fira Sans",
+                        "Droid Sans", "Helvetica Neue", sans-serif;
+                      -webkit-font-smoothing: antialiased;
+                      -moz-osx-font-smoothing: grayscale;
+                    }
+              
+                    #root {
+                      height: 100%;
+                      width: 100%;
+                      display: flex;
+                    }
+                  `}}),jsxRuntimeExports.jsx("div",{className:ro.wrapper,children:jsxRuntimeExports.jsx(LocalTraceView,{viewModel:no,hash:eo,setHash:to,isDark:io})})]})}})})},useClasses=makeStyles({wrapper:{display:"flex",flexDirection:"column",height:"100%"}});client.createRoot(document.getElementById("root")).render(jsxRuntimeExports.jsx(TraceViewApp,{}))});export default Yw();
diff --git a/src/promptflow-devkit/promptflow/_sdk/_service/static/chat_index.html b/src/promptflow-devkit/promptflow/_sdk/_service/static/chat_index.html
new file mode 100644
index 00000000000..6983a09a1e5
--- /dev/null
+++ b/src/promptflow-devkit/promptflow/_sdk/_service/static/chat_index.html
@@ -0,0 +1,23 @@
+<!DOCTYPE html>
+<html lang="en">
+  <head>
+    <meta charset="utf-8" />
+    <title>Chat</title>
+    <base href="/" />
+
+    <meta name="viewport" content="width=device-width, initial-scale=1" />
+    <link rel="icon" href="{{ url_for('static', filename='assets/favicon.ico') }}" />
+    <link rel="stylesheet" href="{{ url_for('static', filename='assets/style.css') }}" />
+    <style>
+      html,body,#root {
+        height: 100%;
+        margin: 0;
+        padding: 0;
+      }
+    </style>
+  </head>
+  <body>
+    <div id="root"></div>
+    <script src="{{ url_for('static', filename='assets/index.mjs') }}"></script>
+  </body>
+</html>
diff --git a/src/promptflow-devkit/promptflow/_sdk/_service/static/index.html b/src/promptflow-devkit/promptflow/_sdk/_service/static/index.html
new file mode 100644
index 00000000000..f61929b7841
--- /dev/null
+++ b/src/promptflow-devkit/promptflow/_sdk/_service/static/index.html
@@ -0,0 +1,16 @@
+<!doctype html>
+<html lang="en">
+  <head>
+    <meta charset="UTF-8" />
+    <meta name="viewport" content="width=device-width, initial-scale=1.0" />
+    <link rel="icon" href="/v1.0/ui/traces/assets/icon-IVYk8x5p.svg" media="(prefers-color-scheme:no-preference)">
+    <link rel="icon" href="/v1.0/ui/traces/assets/icon_for_dark-3C8HbOu4.svg"  media="(prefers-color-scheme:dark)">
+    <link rel="icon" href="/v1.0/ui/traces/assets/icon-IVYk8x5p.svg" media="(prefers-color-scheme:light)">
+    <title>Trace View</title>
+    <script type="module" crossorigin src="/v1.0/ui/traces/assets/index-IZERNmqw.js"></script>
+    
+  </head>
+  <body>
+    <div id="root"></div>

+  </body>
+</html>
diff --git a/src/promptflow/promptflow/_sdk/_service/swagger.json b/src/promptflow-devkit/promptflow/_sdk/_service/swagger.json
similarity index 60%
rename from src/promptflow/promptflow/_sdk/_service/swagger.json
rename to src/promptflow-devkit/promptflow/_sdk/_service/swagger.json
index 4ef82f0ef0a..0b2d12f02fb 100644
--- a/src/promptflow/promptflow/_sdk/_service/swagger.json
+++ b/src/promptflow-devkit/promptflow/_sdk/_service/swagger.json
@@ -5,9 +5,6 @@
         "/Connections/": {
             "get": {
                 "responses": {
-                    "403": {
-                        "description": "This service is available for local user only, please specify X-Remote-User in headers."
-                    },
                     "200": {
                         "description": "Success",
                         "schema": {
@@ -16,6 +13,9 @@
                                 "$ref": "#/definitions/Connection"
                             }
                         }
+                    },
+                    "403": {
+                        "description": "This service is available for local user only, please specify X-Remote-User in headers."
                     }
                 },
                 "description": "List all connection",
@@ -61,14 +61,14 @@
             ],
             "put": {
                 "responses": {
-                    "403": {
-                        "description": "This service is available for local user only, please specify X-Remote-User in headers."
-                    },
                     "200": {
                         "description": "Connection details",
                         "schema": {
                             "$ref": "#/definitions/ConnectionDict"
                         }
+                    },
+                    "403": {
+                        "description": "This service is available for local user only, please specify X-Remote-User in headers."
                     }
                 },
                 "description": "Update connection",
@@ -87,16 +87,34 @@
                     "Connections"
                 ]
             },
-            "get": {
+            "delete": {
                 "responses": {
+                    "204": {
+                        "description": "Delete connection",
+                        "schema": {
+                            "$ref": "#/definitions/ConnectionDict"
+                        }
+                    },
                     "403": {
                         "description": "This service is available for local user only, please specify X-Remote-User in headers."
-                    },
+                    }
+                },
+                "description": "Delete connection",
+                "operationId": "delete_connection",
+                "tags": [
+                    "Connections"
+                ]
+            },
+            "get": {
+                "responses": {
                     "200": {
                         "description": "Connection details",
                         "schema": {
                             "$ref": "#/definitions/ConnectionDict"
                         }
+                    },
+                    "403": {
+                        "description": "This service is available for local user only, please specify X-Remote-User in headers."
                     }
                 },
                 "description": "Get connection",
@@ -112,28 +130,16 @@
                     "Connections"
                 ]
             },
-            "delete": {
-                "responses": {
-                    "403": {
-                        "description": "This service is available for local user only, please specify X-Remote-User in headers."
-                    }
-                },
-                "description": "Delete connection",
-                "operationId": "delete_connection",
-                "tags": [
-                    "Connections"
-                ]
-            },
             "post": {
                 "responses": {
-                    "403": {
-                        "description": "This service is available for local user only, please specify X-Remote-User in headers."
-                    },
                     "200": {
                         "description": "Connection details",
                         "schema": {
                             "$ref": "#/definitions/ConnectionDict"
                         }
+                    },
+                    "403": {
+                        "description": "This service is available for local user only, please specify X-Remote-User in headers."
                     }
                 },
                 "description": "Create connection",
@@ -164,14 +170,14 @@
             ],
             "get": {
                 "responses": {
-                    "403": {
-                        "description": "This service is available for local user only, please specify X-Remote-User in headers."
-                    },
                     "200": {
                         "description": "Connection details with secret",
                         "schema": {
                             "$ref": "#/definitions/ConnectionDict"
                         }
+                    },
+                    "403": {
+                        "description": "This service is available for local user only, please specify X-Remote-User in headers."
                     }
                 },
                 "description": "Get connection with secret",
@@ -188,6 +194,129 @@
                 ]
             }
         },
+        "/Experiments/": {
+            "get": {
+                "responses": {
+                    "200": {
+                        "description": "Experiments",
+                        "schema": {
+                            "$ref": "#/definitions/ExperimentList"
+                        }
+                    }
+                },
+                "description": "List all experiments",
+                "operationId": "get_experiment_list",
+                "tags": [
+                    "Experiments"
+                ]
+            }
+        },
+        "/Flows/get": {
+            "get": {
+                "responses": {
+                    "200": {
+                        "description": "Return flow yaml as json",
+                        "schema": {
+                            "$ref": "#/definitions/FlowDict"
+                        }
+                    }
+                },
+                "description": "Return flow yaml as json",
+                "operationId": "get_flow_get",
+                "tags": [
+                    "Flows"
+                ]
+            }
+        },
+        "/Flows/test": {
+            "post": {
+                "responses": {
+                    "200": {
+                        "description": "Flow test",
+                        "schema": {
+                            "$ref": "#/definitions/FlowDict"
+                        }
+                    }
+                },
+                "description": "Flow test",
+                "operationId": "post_flow_test",
+                "parameters": [
+                    {
+                        "name": "payload",
+                        "required": true,
+                        "in": "body",
+                        "schema": {
+                            "$ref": "#/definitions/FlowTest"
+                        }
+                    }
+                ],
+                "tags": [
+                    "Flows"
+                ]
+            }
+        },
+        "/Flows/ux_inputs": {
+            "get": {
+                "responses": {
+                    "200": {
+                        "description": "Get the file content of file UX_INPUTS_JSON",
+                        "schema": {
+                            "$ref": "#/definitions/FlowDict"
+                        }
+                    }
+                },
+                "description": "Get the file content of file UX_INPUTS_JSON",
+                "operationId": "get_flow_ux_inputs",
+                "tags": [
+                    "Flows"
+                ]
+            },
+            "post": {
+                "responses": {
+                    "200": {
+                        "description": "Set the file content of file UX_INPUTS_JSON",
+                        "schema": {
+                            "$ref": "#/definitions/FlowDict"
+                        }
+                    }
+                },
+                "description": "Set the file content of file UX_INPUTS_JSON",
+                "operationId": "post_flow_ux_inputs",
+                "parameters": [
+                    {
+                        "name": "payload",
+                        "required": true,
+                        "in": "body",
+                        "schema": {
+                            "$ref": "#/definitions/FlowUxInput"
+                        }
+                    }
+                ],
+                "tags": [
+                    "Flows"
+                ]
+            }
+        },
+        "/LineRuns/list": {
+            "get": {
+                "responses": {
+                    "200": {
+                        "description": "Success",
+                        "schema": {
+                            "type": "array",
+                            "items": {
+                                "$ref": "#/definitions/LineRun"
+                            }
+                        }
+                    }
+                },
+                "description": "List line runs",
+                "operationId": "get_line_runs",
+                "tags": [
+                    "LineRuns"
+                ]
+            }
+        },
         "/Runs/": {
             "get": {
                 "responses": {
@@ -277,6 +406,21 @@
                     "Runs"
                 ]
             },
+            "delete": {
+                "responses": {
+                    "204": {
+                        "description": "Delete run",
+                        "schema": {
+                            "$ref": "#/definitions/RunDict"
+                        }
+                    }
+                },
+                "description": "Delete run",
+                "operationId": "delete_run",
+                "tags": [
+                    "Runs"
+                ]
+            },
             "get": {
                 "responses": {
                     "200": {
@@ -502,11 +646,31 @@
                 ]
             }
         },
+        "/Spans/list": {
+            "get": {
+                "responses": {
+                    "200": {
+                        "description": "Success",
+                        "schema": {
+                            "type": "array",
+                            "items": {
+                                "$ref": "#/definitions/Span"
+                            }
+                        }
+                    }
+                },
+                "description": "List spans",
+                "operationId": "get_spans",
+                "tags": [
+                    "Spans"
+                ]
+            }
+        },
         "/Telemetries/": {
             "post": {
                 "responses": {
-                    "403": {
-                        "description": "Telemetry is disabled or X-Remote-User is not set.",
+                    "200": {
+                        "description": "Create telemetry record",
                         "headers": {
                             "x-ms-promptflow-request-id": {
                                 "type": "string"
@@ -521,8 +685,8 @@
                             }
                         }
                     },
-                    "200": {
-                        "description": "Create telemetry record",
+                    "403": {
+                        "description": "Telemetry is disabled or X-Remote-User is not set.",
                         "headers": {
                             "x-ms-promptflow-request-id": {
                                 "type": "string"
@@ -546,6 +710,63 @@
                     "Telemetries"
                 ]
             }
+        },
+        "/ui/chat": {
+            "get": {
+                "responses": {
+                    "200": {
+                        "description": "Success"
+                    }
+                },
+                "operationId": "get_chat_ui",
+                "tags": [
+                    "ui"
+                ]
+            }
+        },
+        "/ui/media": {
+            "get": {
+                "responses": {
+                    "200": {
+                        "description": "Get image url",
+                        "schema": {
+                            "type": "string"
+                        }
+                    }
+                },
+                "description": "Get image url",
+                "operationId": "get_media_view",
+                "tags": [
+                    "ui"
+                ]
+            }
+        },
+        "/ui/media_save": {
+            "post": {
+                "responses": {
+                    "200": {
+                        "description": "Save image",
+                        "schema": {
+                            "type": "string"
+                        }
+                    }
+                },
+                "description": "Save image",
+                "operationId": "post_media_save",
+                "parameters": [
+                    {
+                        "name": "payload",
+                        "required": true,
+                        "in": "body",
+                        "schema": {
+                            "$ref": "#/definitions/MediaSave"
+                        }
+                    }
+                ],
+                "tags": [
+                    "ui"
+                ]
+            }
         }
     },
     "info": {
@@ -570,6 +791,26 @@
         {
             "name": "Telemetries",
             "description": "Telemetry Management"
+        },
+        {
+            "name": "Spans",
+            "description": "Spans Management"
+        },
+        {
+            "name": "LineRuns",
+            "description": "Line runs management"
+        },
+        {
+            "name": "ui",
+            "description": "UI"
+        },
+        {
+            "name": "Flows",
+            "description": "Flows Management"
+        },
+        {
+            "name": "Experiments",
+            "description": "Experiments Management"
         }
     ],
     "definitions": {
@@ -724,6 +965,283 @@
                 }
             },
             "type": "object"
+        },
+        "Span": {
+            "required": [
+                "attributes",
+                "context",
+                "kind",
+                "name",
+                "resource"
+            ],
+            "properties": {
+                "name": {
+                    "type": "string"
+                },
+                "context": {
+                    "$ref": "#/definitions/Context"
+                },
+                "kind": {
+                    "type": "string"
+                },
+                "parent_id": {
+                    "type": "string"
+                },
+                "start_time": {
+                    "type": "string",
+                    "format": "date-time"
+                },
+                "end_time": {
+                    "type": "string",
+                    "format": "date-time"
+                },
+                "status": {
+                    "$ref": "#/definitions/Status"
+                },
+                "attributes": {
+                    "type": "object"
+                },
+                "events": {
+                    "type": "array",
+                    "items": {
+                        "$ref": "#/definitions/Event"
+                    }
+                },
+                "links": {
+                    "type": "array",
+                    "items": {
+                        "$ref": "#/definitions/Link"
+                    }
+                },
+                "resource": {
+                    "$ref": "#/definitions/Resource"
+                }
+            },
+            "type": "object"
+        },
+        "Context": {
+            "required": [
+                "span_id",
+                "trace_id",
+                "trace_state"
+            ],
+            "properties": {
+                "trace_id": {
+                    "type": "string"
+                },
+                "span_id": {
+                    "type": "string"
+                },
+                "trace_state": {
+                    "type": "string"
+                }
+            },
+            "type": "object"
+        },
+        "Status": {
+            "required": [
+                "status_code"
+            ],
+            "properties": {
+                "status_code": {
+                    "type": "string"
+                },
+                "description": {
+                    "type": "string"
+                }
+            },
+            "type": "object"
+        },
+        "Event": {
+            "required": [
+                "name"
+            ],
+            "properties": {
+                "name": {
+                    "type": "string"
+                },
+                "timestamp": {
+                    "type": "string",
+                    "format": "date-time"
+                },
+                "attributes": {
+                    "type": "object"
+                }
+            },
+            "type": "object"
+        },
+        "Link": {
+            "properties": {
+                "context": {
+                    "$ref": "#/definitions/Context"
+                },
+                "attributes": {
+                    "type": "object"
+                }
+            },
+            "type": "object"
+        },
+        "Resource": {
+            "required": [
+                "attributes"
+            ],
+            "properties": {
+                "attributes": {
+                    "type": "object"
+                },
+                "schema_url": {
+                    "type": "string"
+                }
+            },
+            "type": "object"
+        },
+        "LineRun": {
+            "required": [
+                "end_time",
+                "inputs",
+                "kind",
+                "latency",
+                "line_run_id",
+                "name",
+                "outputs",
+                "root_span_id",
+                "start_time",
+                "status",
+                "trace_id"
+            ],
+            "properties": {
+                "line_run_id": {
+                    "type": "string"
+                },
+                "trace_id": {
+                    "type": "string"
+                },
+                "root_span_id": {
+                    "type": "string"
+                },
+                "inputs": {
+                    "type": "object"
+                },
+                "outputs": {
+                    "type": "object"
+                },
+                "start_time": {
+                    "type": "string",
+                    "format": "date-time"
+                },
+                "end_time": {
+                    "type": "string",
+                    "format": "date-time"
+                },
+                "status": {
+                    "type": "string"
+                },
+                "latency": {
+                    "type": "string"
+                },
+                "name": {
+                    "type": "string"
+                },
+                "kind": {
+                    "type": "string"
+                },
+                "cumulative_token_count": {
+                    "$ref": "#/definitions/CumulativeTokenCount"
+                },
+                "evaluations": {
+                    "type": "object"
+                }
+            },
+            "type": "object"
+        },
+        "CumulativeTokenCount": {
+            "properties": {
+                "completion": {
+                    "type": "integer"
+                },
+                "prompt": {
+                    "type": "integer"
+                },
+                "total": {
+                    "type": "integer"
+                }
+            },
+            "type": "object"
+        },
+        "MediaSave": {
+            "required": [
+                "base64_data",
+                "extension"
+            ],
+            "properties": {
+                "base64_data": {
+                    "type": "string",
+                    "description": "Image base64 encoded data."
+                },
+                "extension": {
+                    "type": "string",
+                    "description": "Image file extension."
+                }
+            },
+            "type": "object"
+        },
+        "FlowTest": {
+            "properties": {
+                "node": {
+                    "type": "string",
+                    "description": "If specified it will only test this node, else it will test the flow."
+                },
+                "variant": {
+                    "type": "string",
+                    "description": "Node & variant name in format of ${node_name.variant_name}, will use default variant if not specified."
+                },
+                "output_path": {
+                    "type": "string",
+                    "description": "Output path of flow"
+                },
+                "experiment": {
+                    "type": "string",
+                    "description": "Path of experiment template"
+                },
+                "inputs": {
+                    "$ref": "#/definitions/FlowDict"
+                },
+                "environment_variables": {
+                    "$ref": "#/definitions/FlowDict"
+                }
+            },
+            "type": "object"
+        },
+        "FlowDict": {
+            "additionalProperties": true,
+            "type": "object"
+        },
+        "FlowUxInput": {
+            "required": [
+                "flow",
+                "ux_inputs"
+            ],
+            "properties": {
+                "flow": {
+                    "type": "string",
+                    "description": "Path to flow directory."
+                },
+                "ux_inputs": {
+                    "description": "Flow ux inputs",
+                    "allOf": [
+                        {
+                            "$ref": "#/definitions/FlowDict"
+                        }
+                    ]
+                }
+            },
+            "type": "object"
+        },
+        "ExperimentList": {
+            "type": "array",
+            "items": {
+                "$ref": "#/definitions/ExperimentDict"
+            }
         }
     },
     "responses": {
@@ -737,4 +1255,4 @@
             "description": "When any error occurs on the server, return a formatted error message"
         }
     }
-}
+}
\ No newline at end of file
diff --git a/src/promptflow/promptflow/tracing/contracts/__init__.py b/src/promptflow-devkit/promptflow/_sdk/_service/utils/__init__.py
similarity index 100%
rename from src/promptflow/promptflow/tracing/contracts/__init__.py
rename to src/promptflow-devkit/promptflow/_sdk/_service/utils/__init__.py
diff --git a/src/promptflow/promptflow/_sdk/_service/utils/utils.py b/src/promptflow-devkit/promptflow/_sdk/_service/utils/utils.py
similarity index 75%
rename from src/promptflow/promptflow/_sdk/_service/utils/utils.py
rename to src/promptflow-devkit/promptflow/_sdk/_service/utils/utils.py
index 1cdafa39912..cc9f744748c 100644
--- a/src/promptflow/promptflow/_sdk/_service/utils/utils.py
+++ b/src/promptflow-devkit/promptflow/_sdk/_service/utils/utils.py
@@ -1,11 +1,14 @@
 # ---------------------------------------------------------
 # Copyright (c) Microsoft Corporation. All rights reserved.
 # ---------------------------------------------------------
+import base64
 import getpass
 import hashlib
 import os
+import platform
 import re
 import socket
+import subprocess
 import sys
 import time
 from dataclasses import InitVar, dataclass, field
@@ -17,6 +20,7 @@
 import requests
 from flask import abort, make_response, request
 
+from promptflow._constants import PF_RUN_AS_BUILT_BINARY
 from promptflow._sdk._constants import (
     DEFAULT_ENCODING,
     HOME_PROMPT_FLOW_DIR,
@@ -60,7 +64,7 @@ def get_current_env_pfs_file(file_name):
 
 
 def get_port_from_config(create_if_not_exists=False):
-    if sys.executable.endswith("pfcli.exe"):
+    if is_run_from_built_binary():
         port_file_path = HOME_PROMPT_FLOW_DIR / PF_SERVICE_PORT_FILE
         port_file_path.touch(mode=read_write_by_user(), exist_ok=True)
     else:
@@ -79,7 +83,7 @@ def get_port_from_config(create_if_not_exists=False):
 
 
 def dump_port_to_config(port):
-    if sys.executable.endswith("pfcli.exe"):
+    if is_run_from_built_binary():
         port_file_path = HOME_PROMPT_FLOW_DIR / PF_SERVICE_PORT_FILE
         port_file_path.touch(mode=read_write_by_user(), exist_ok=True)
     else:
@@ -95,6 +99,9 @@ def dump_port_to_config(port):
 
 def is_port_in_use(port: int):
     with socket.socket(socket.AF_INET, socket.SOCK_STREAM) as s:
+        # OS will wait for timeout when connecting to an unused port, so it will take about 2s. Set timeout here to
+        # avoid long waiting time
+        s.settimeout(0.1)
         return s.connect_ex(("localhost", port)) == 0
 
 
@@ -105,13 +112,24 @@ def get_random_port():
 
 
 def _get_process_by_port(port):
-    for proc in psutil.process_iter(["pid", "connections", "create_time"]):
-        try:
-            for connection in proc.connections():
-                if connection.laddr.port == port:
-                    return proc
-        except psutil.AccessDenied:
-            pass
+    if platform.system() == "Windows":
+        command = f"netstat -ano | findstr :{port}"
+        result = subprocess.run(command, shell=True, capture_output=True, text=True)
+        if result.returncode == 0:
+            output = result.stdout.strip()
+            lines = output.split("\n")
+            for line in lines:
+                if "LISTENING" in line:
+                    pid = line.split()[-1]  # get the PID
+                    return psutil.Process(int(pid))
+    else:  # Linux and macOS
+        command = f"lsof -i :{port} -sTCP:LISTEN | awk 'NR>1 {{print $2}}'"
+        result = subprocess.run(command, shell=True, capture_output=True, text=True)
+        if result.returncode == 0:
+            output = result.stdout.strip()
+            pid = output.split("\n")[0]  # get the first PID
+            if pid != "":
+                return psutil.Process(int(pid))
 
 
 def kill_exist_service(port):
@@ -125,7 +143,7 @@ def get_started_service_info(port):
     service_info = {}
     proc = _get_process_by_port(port)
     if proc:
-        create_time = proc.info["create_time"]
+        create_time = proc.create_time()
         process_uptime = datetime.now() - datetime.fromtimestamp(create_time)
         service_info["create_time"] = str(datetime.fromtimestamp(create_time))
         service_info["uptime"] = str(process_uptime)
@@ -158,9 +176,8 @@ def is_pfs_service_healthy(pfs_port) -> bool:
             return is_healthy
     except Exception:  # pylint: disable=broad-except
         pass
-    logger.warning(
-        f"Promptflow service can't be reached through port {pfs_port}, will try to start/force restart "
-        f"promptflow service."
+    logger.debug(
+        f"Promptflow service can't be reached through port {pfs_port}, will try to (force) start promptflow service."
     )
     return False
 
@@ -206,7 +223,7 @@ def __post_init__(self, exception):
             self.target = exception.target
             self.module = exception.module
             self.reference_code = exception.reference_code
-            self.inner_exception = exception.inner_exception
+            self.inner_exception = str(exception.inner_exception)
             self.additional_info = exception.additional_info
             self.error_codes = exception.error_codes
         else:
@@ -231,13 +248,42 @@ def __post_init__(self, exception, status_code):
 
 
 def build_pfs_user_agent():
-    extra_agent = f"local_pfs/{VERSION}"
-    if request.user_agent.string:
-        return f"{request.user_agent.string} {extra_agent}"
-    return extra_agent
+    user_agent = request.user_agent.string
+    user_agent_for_local_pfs = f"local_pfs/{VERSION}"
+    if user_agent:
+        return f"{user_agent} {user_agent_for_local_pfs}"
+    return user_agent_for_local_pfs
 
 
-def get_client_from_request() -> "PFClient":
+def get_client_from_request(*, connection_provider=None) -> "PFClient":
+    """
+    Build a PFClient instance based on current request in local PFS.
+
+    User agent may be different for each request.
+    """
     from promptflow._sdk._pf_client import PFClient
 
-    return PFClient(user_agent=build_pfs_user_agent())
+    user_agent = build_pfs_user_agent()
+
+    if connection_provider:
+        pf_client = PFClient(connection_provider=connection_provider, user_agent_override=user_agent)
+    else:
+        pf_client = PFClient(user_agent_override=user_agent)
+    return pf_client
+
+
+def is_run_from_built_binary():
+    """
+    Use this function to trigger behavior difference between calling from promptflow sdk/cli and built binary.
+
+    Allow customer to use environment variable to control the triggering.
+    """
+    return sys.executable.endswith("pfcli.exe") or os.environ.get(PF_RUN_AS_BUILT_BINARY, "").lower() == "true"
+
+
+def encrypt_flow_path(flow_path):
+    return base64.urlsafe_b64encode(flow_path.encode()).decode()
+
+
+def decrypt_flow_path(encrypted_flow_path):
+    return base64.urlsafe_b64decode(encrypted_flow_path).decode()
diff --git a/src/promptflow-devkit/promptflow/_sdk/_serving/__init__.py b/src/promptflow-devkit/promptflow/_sdk/_serving/__init__.py
new file mode 100644
index 00000000000..29a4fcd3278
--- /dev/null
+++ b/src/promptflow-devkit/promptflow/_sdk/_serving/__init__.py
@@ -0,0 +1,5 @@
+# ---------------------------------------------------------
+# Copyright (c) Microsoft Corporation. All rights reserved.
+# ---------------------------------------------------------
+
+__path__ = __import__("pkgutil").extend_path(__path__, __name__)  # type: ignore
diff --git a/src/promptflow-devkit/promptflow/_sdk/_serving/app.py b/src/promptflow-devkit/promptflow/_sdk/_serving/app.py
new file mode 100644
index 00000000000..3857bdae9a3
--- /dev/null
+++ b/src/promptflow-devkit/promptflow/_sdk/_serving/app.py
@@ -0,0 +1,8 @@
+# ---------------------------------------------------------
+# Copyright (c) Microsoft Corporation. All rights reserved.
+# ---------------------------------------------------------
+
+from promptflow.core._serving.app import create_app
+
+# Keep this for backward compatibility, will be removed after runtime is updated
+create_app = create_app
diff --git a/src/promptflow/promptflow/_sdk/_telemetry/__init__.py b/src/promptflow-devkit/promptflow/_sdk/_telemetry/__init__.py
similarity index 100%
rename from src/promptflow/promptflow/_sdk/_telemetry/__init__.py
rename to src/promptflow-devkit/promptflow/_sdk/_telemetry/__init__.py
diff --git a/src/promptflow/promptflow/_sdk/_telemetry/activity.py b/src/promptflow-devkit/promptflow/_sdk/_telemetry/activity.py
similarity index 87%
rename from src/promptflow/promptflow/_sdk/_telemetry/activity.py
rename to src/promptflow-devkit/promptflow/_sdk/_telemetry/activity.py
index 0ffda098cbf..b21ee3f8811 100644
--- a/src/promptflow/promptflow/_sdk/_telemetry/activity.py
+++ b/src/promptflow-devkit/promptflow/_sdk/_telemetry/activity.py
@@ -10,7 +10,7 @@
 from typing import Any, Dict
 
 from promptflow._sdk._telemetry.telemetry import TelemetryMixin
-from promptflow._sdk._utils import ClientUserAgentUtil
+from promptflow._utils.user_agent_utils import ClientUserAgentUtil
 from promptflow.exceptions import _ErrorInfo
 
 
@@ -105,6 +105,7 @@ def log_activity(
     activity_name,
     activity_type=ActivityType.INTERNALCALL,
     custom_dimensions=None,
+    user_agent=None,
 ):
     """Log an activity.
 
@@ -121,12 +122,16 @@ def log_activity(
     :type activity_type: str
     :param custom_dimensions: The custom properties of the activity.
     :type custom_dimensions: dict
+    :param user_agent: Specify user agent. If not specified, the user agent will be got from OperationContext.
+    :type user_agent: str
     :return: None
     """
     if not custom_dimensions:
         custom_dimensions = {}
 
-    user_agent = ClientUserAgentUtil.get_user_agent()
+    # provided user agent will be respected even if it's ""
+    if user_agent is None:
+        user_agent = ClientUserAgentUtil.get_user_agent()
     request_id = request_id_context.get()
     if not request_id:
         # public function call
@@ -179,12 +184,12 @@ def log_activity(
             raise exception
 
 
-def extract_telemetry_info(self):
+def extract_telemetry_info(self, *args, **kwargs):
     """Extract pf telemetry info from given telemetry mix-in instance."""
     result = {}
     try:
         if isinstance(self, TelemetryMixin):
-            return self._get_telemetry_values()
+            return self._get_telemetry_values(*args, **kwargs)
     except Exception:
         pass
     return result
@@ -233,10 +238,25 @@ def wrapper(self, *args, **kwargs):
 
             logger = get_telemetry_logger()
 
-            custom_dimensions.update(extract_telemetry_info(self))
+            if "activity_name" not in kwargs:
+                custom_dimensions.update(extract_telemetry_info(self, *args, **kwargs, activity_name=activity_name))
+            else:
+                custom_dimensions.update(extract_telemetry_info(self, *args, **kwargs))
+
+            if isinstance(self, TelemetryMixin):
+                user_agent = self._get_user_agent_override()
+            else:
+                user_agent = None
+
             # update activity name according to kwargs.
             _activity_name = update_activity_name(activity_name, kwargs=kwargs)
-            with log_activity(logger, _activity_name, activity_type, custom_dimensions):
+            with log_activity(
+                logger=logger,
+                activity_name=_activity_name,
+                activity_type=activity_type,
+                custom_dimensions=custom_dimensions,
+                user_agent=user_agent,
+            ):
                 if _activity_name in HINT_ACTIVITY_NAME:
                     hint_for_update()
                     # set check_latest_version as deamon thread to avoid blocking main thread
diff --git a/src/promptflow/promptflow/_sdk/_telemetry/logging_handler.py b/src/promptflow-devkit/promptflow/_sdk/_telemetry/logging_handler.py
similarity index 100%
rename from src/promptflow/promptflow/_sdk/_telemetry/logging_handler.py
rename to src/promptflow-devkit/promptflow/_sdk/_telemetry/logging_handler.py
diff --git a/src/promptflow/promptflow/_sdk/_telemetry/telemetry.py b/src/promptflow-devkit/promptflow/_sdk/_telemetry/telemetry.py
similarity index 76%
rename from src/promptflow/promptflow/_sdk/_telemetry/telemetry.py
rename to src/promptflow-devkit/promptflow/_sdk/_telemetry/telemetry.py
index 5abd5a483b0..ce05ba30039 100644
--- a/src/promptflow/promptflow/_sdk/_telemetry/telemetry.py
+++ b/src/promptflow-devkit/promptflow/_sdk/_telemetry/telemetry.py
@@ -2,7 +2,9 @@
 # Copyright (c) Microsoft Corporation. All rights reserved.
 # ---------------------------------------------------------
 import logging
+from typing import Optional
 
+from promptflow._constants import USER_AGENT_OVERRIDE_KEY
 from promptflow._sdk._configuration import Configuration
 
 PROMPTFLOW_LOGGER_NAMESPACE = "promptflow._sdk._telemetry"
@@ -10,17 +12,28 @@
 
 class TelemetryMixin(object):
     def __init__(self, **kwargs):
+        self._user_agent_override = kwargs.pop(USER_AGENT_OVERRIDE_KEY, None)
+
         # Need to call init for potential parent, otherwise it won't be initialized.
+        # TODO: however, object.__init__() takes exactly one argument (the instance to initialize), so this will fail
+        #   if there are any kwargs left.
         super().__init__(**kwargs)
 
     def _get_telemetry_values(self, *args, **kwargs):  # pylint: disable=unused-argument
-        """Return the telemetry values of object.
+        """Return the telemetry values of object, will be set as custom_dimensions in telemetry.
 
         :return: The telemetry values
         :rtype: Dict
         """
         return {}
 
+    def _get_user_agent_override(self) -> Optional[str]:
+        """If we have a bonded user agent passed in via the constructor, return it.
+
+        Telemetries from this object will use this user agent and ignore the one from OperationContext.
+        """
+        return self._user_agent_override
+
 
 class WorkspaceTelemetryMixin(TelemetryMixin):
     def __init__(self, subscription_id, resource_group_name, workspace_name, **kwargs):
@@ -31,7 +44,7 @@ def __init__(self, subscription_id, resource_group_name, workspace_name, **kwarg
         super().__init__(**kwargs)
 
     def _get_telemetry_values(self, *args, **kwargs):  # pylint: disable=unused-argument
-        """Return the telemetry values of run operations.
+        """Return the telemetry values of object, will be set as custom_dimensions in telemetry.
 
         :return: The telemetry values
         :rtype: Dict
diff --git a/src/promptflow-devkit/promptflow/_sdk/_tracing.py b/src/promptflow-devkit/promptflow/_sdk/_tracing.py
new file mode 100644
index 00000000000..0d7f43c3003
--- /dev/null
+++ b/src/promptflow-devkit/promptflow/_sdk/_tracing.py
@@ -0,0 +1,244 @@
+# ---------------------------------------------------------
+# Copyright (c) Microsoft Corporation. All rights reserved.
+# ---------------------------------------------------------
+
+import json
+import os
+import typing
+import urllib.parse
+
+from opentelemetry import trace
+from opentelemetry.exporter.otlp.proto.http.trace_exporter import OTLPSpanExporter
+from opentelemetry.sdk.environment_variables import OTEL_EXPORTER_OTLP_ENDPOINT
+from opentelemetry.sdk.resources import Resource
+from opentelemetry.sdk.trace import TracerProvider
+from opentelemetry.sdk.trace.export import BatchSpanProcessor
+
+from promptflow._cli._pf.entry import entry
+from promptflow._constants import (
+    OTEL_RESOURCE_SERVICE_NAME,
+    SpanAttributeFieldName,
+    SpanResourceAttributesFieldName,
+    TraceEnvironmentVariableName,
+)
+from promptflow._sdk._configuration import Configuration
+from promptflow._sdk._constants import (
+    PF_SERVICE_HOUR_TIMEOUT,
+    PF_TRACE_CONTEXT,
+    PF_TRACE_CONTEXT_ATTR,
+    AzureMLWorkspaceTriad,
+    ContextAttributeKey,
+)
+from promptflow._sdk._service.utils.utils import get_port_from_config, is_pfs_service_healthy, is_port_in_use
+from promptflow._sdk._utils import extract_workspace_triad_from_trace_provider
+from promptflow._utils.logger_utils import get_cli_sdk_logger
+from promptflow.tracing._integrations._openai_injector import inject_openai_api
+from promptflow.tracing._operation_context import OperationContext
+from promptflow.tracing._start_trace import _force_set_tracer_provider, _is_tracer_provider_set
+
+logger = get_cli_sdk_logger()
+
+
+def get_ws_tracing_base_url(ws_triad: AzureMLWorkspaceTriad) -> str:
+    return (
+        "https://int.ml.azure.com/prompts/trace/list"
+        f"?wsid=/subscriptions/{ws_triad.subscription_id}"
+        f"/resourceGroups/{ws_triad.resource_group_name}"
+        "/providers/Microsoft.MachineLearningServices"
+        f"/workspaces/{ws_triad.workspace_name}"
+    )
+
+
+def _inject_attrs_to_op_ctx(attrs: typing.Dict[str, str]) -> None:
+    if len(attrs) == 0:
+        return
+    logger.debug("Inject attributes %s to context", attrs)
+    op_ctx = OperationContext.get_instance()
+    for attr_key, attr_value in attrs.items():
+        op_ctx._add_otel_attributes(attr_key, attr_value)
+
+
+def _invoke_pf_svc() -> str:
+    port = get_port_from_config(create_if_not_exists=True)
+    port = str(port)
+    cmd_args = ["service", "start", "--port", port]
+    hint_stop_message = (
+        f"You can stop the Prompt flow Tracing Server with the following command:'\033[1m pf service stop\033[0m'.\n"
+        f"Alternatively, if no requests are made within {PF_SERVICE_HOUR_TIMEOUT} "
+        f"hours, it will automatically stop."
+    )
+    if is_port_in_use(int(port)):
+        if not is_pfs_service_healthy(port):
+            cmd_args.append("--force")
+        else:
+            print("Prompt flow Tracing Server has started...")
+            print(hint_stop_message)
+            return port
+    print("Starting Prompt flow Tracing Server...")
+    entry(cmd_args)
+    logger.debug("Prompt flow service is serving on port %s", port)
+    print(hint_stop_message)
+    return port
+
+
+def _get_ws_triad_from_pf_config() -> typing.Optional[AzureMLWorkspaceTriad]:
+    ws_arm_id = Configuration.get_instance().get_trace_provider()
+    return extract_workspace_triad_from_trace_provider(ws_arm_id) if ws_arm_id is not None else None
+
+
+# priority: run > experiment > collection
+# for run(s) in experiment, we should print url with run(s) as it is more specific;
+# and url with experiment should be printed at the beginning of experiment start.
+def _print_tracing_url_from_local(
+    pfs_port: str,
+    collection: typing.Optional[str],
+    exp: typing.Optional[str] = None,
+    run: typing.Optional[str] = None,
+) -> None:
+    url = f"http://localhost:{pfs_port}/v1.0/ui/traces/"
+    if run is not None:
+        url += f"?#run={run}"
+    elif exp is not None:
+        url += f"?#experiment={exp}"
+    elif collection is not None:
+        url += f"?#collection={collection}"
+    print(f"You can view the traces from local: {url}")
+
+
+def _print_tracing_url_from_azure_portal(
+    ws_triad: typing.Optional[AzureMLWorkspaceTriad],
+    collection: typing.Optional[str],
+    exp: typing.Optional[str] = None,
+    run: typing.Optional[str] = None,
+) -> None:
+    if ws_triad is None:
+        return
+    url = get_ws_tracing_base_url(ws_triad)
+    query = None
+    if run is not None:
+        query = '{"batchRunId":"' + run + '"}'
+    elif exp is not None:
+        # not consider experiment for now
+        pass
+    elif collection is not None:
+        # will update this once portal finalize the url
+        query = '{"sessionId":"' + collection + '"}'
+    # urllib.parse.quote to encode the query parameter
+    if query is not None:
+        url += f"&searchText={urllib.parse.quote(query)}"
+    print(f"You can view the traces in cloud from Azure portal: {url}")
+
+
+def _inject_res_attrs_to_environ(
+    pfs_port: str,
+    collection: typing.Optional[str],
+    exp: typing.Optional[str] = None,
+    ws_triad: typing.Optional[AzureMLWorkspaceTriad] = None,
+) -> None:
+    if collection is not None:
+        os.environ[TraceEnvironmentVariableName.COLLECTION] = collection
+    if exp is not None:
+        os.environ[TraceEnvironmentVariableName.EXPERIMENT] = exp
+    if ws_triad is not None:
+        os.environ[TraceEnvironmentVariableName.SUBSCRIPTION_ID] = ws_triad.subscription_id
+        os.environ[TraceEnvironmentVariableName.RESOURCE_GROUP_NAME] = ws_triad.resource_group_name
+        os.environ[TraceEnvironmentVariableName.WORKSPACE_NAME] = ws_triad.workspace_name
+    # we will not overwrite the value if it is already set
+    if OTEL_EXPORTER_OTLP_ENDPOINT not in os.environ:
+        os.environ[OTEL_EXPORTER_OTLP_ENDPOINT] = f"http://localhost:{pfs_port}/v1/traces"
+
+
+def _create_or_merge_res(
+    collection: typing.Optional[str],
+    collection_id: typing.Optional[str] = None,
+    exp: typing.Optional[str] = None,
+    ws_triad: typing.Optional[AzureMLWorkspaceTriad] = None,
+) -> Resource:
+    res_attrs = dict()
+    if collection is not None:
+        res_attrs[SpanResourceAttributesFieldName.COLLECTION] = collection
+    if collection_id is not None:
+        res_attrs[SpanResourceAttributesFieldName.COLLECTION_ID] = collection_id
+    if _is_tracer_provider_set():
+        tracer_provider: TracerProvider = trace.get_tracer_provider()
+        for attr_key, attr_value in tracer_provider.resource.attributes.items():
+            res_attrs[attr_key] = attr_value
+    res_attrs[SpanResourceAttributesFieldName.SERVICE_NAME] = OTEL_RESOURCE_SERVICE_NAME
+    if exp is not None:
+        res_attrs[SpanResourceAttributesFieldName.EXPERIMENT_NAME] = exp
+    if ws_triad is not None:
+        res_attrs[SpanResourceAttributesFieldName.SUBSCRIPTION_ID] = ws_triad.subscription_id
+        res_attrs[SpanResourceAttributesFieldName.RESOURCE_GROUP_NAME] = ws_triad.resource_group_name
+        res_attrs[SpanResourceAttributesFieldName.WORKSPACE_NAME] = ws_triad.workspace_name
+    return Resource(attributes=res_attrs)
+
+
+def start_trace_with_devkit(
+    collection: typing.Optional[str],
+    attrs: typing.Optional[typing.Dict[str, str]] = None,
+    run: typing.Optional[str] = None,
+) -> None:
+    # honor and set attributes if user has specified
+    if isinstance(attrs, dict):
+        _inject_attrs_to_op_ctx(attrs)
+
+    # experiment related attributes, pass from environment
+    env_tracing_ctx = os.environ.get(PF_TRACE_CONTEXT, None)
+    logger.debug("Read tracing context from environment: %s", env_tracing_ctx)
+    env_attrs = dict(json.loads(env_tracing_ctx)).get(PF_TRACE_CONTEXT_ATTR) if env_tracing_ctx else dict()
+    exp = env_attrs.get(ContextAttributeKey.EXPERIMENT, None)
+    ref_line_run_id = env_attrs.get(ContextAttributeKey.REFERENCED_LINE_RUN_ID, None)
+    op_ctx = OperationContext.get_instance()
+    # remove `referenced.line_run_id` from context to avoid stale value set by previous node
+    if ref_line_run_id is None:
+        op_ctx._remove_otel_attributes(SpanAttributeFieldName.REFERENCED_LINE_RUN_ID)
+    else:
+        op_ctx._add_otel_attributes(SpanAttributeFieldName.REFERENCED_LINE_RUN_ID, ref_line_run_id)
+
+    # local to cloud feature
+    ws_triad = _get_ws_triad_from_pf_config()
+    # invoke prompt flow service
+    pfs_port = _invoke_pf_svc()
+
+    _inject_res_attrs_to_environ(pfs_port=pfs_port, collection=collection, exp=exp, ws_triad=ws_triad)
+    # instrument openai and setup exporter to pfs here for flex mode
+    inject_openai_api()
+    setup_exporter_to_pfs()
+    # print tracing url(s)
+    _print_tracing_url_from_local(pfs_port=pfs_port, collection=collection, exp=exp, run=run)
+    _print_tracing_url_from_azure_portal(ws_triad=ws_triad, collection=collection, exp=exp, run=run)
+
+
+def setup_exporter_to_pfs() -> None:
+    # get resource attributes from environment
+    # For local trace, collection is the only identifier for name and id
+    # For cloud trace, we use collection here as name and collection_id for id
+    collection = os.getenv(TraceEnvironmentVariableName.COLLECTION, None)
+    # Only used for runtime
+    collection_id = os.getenv(TraceEnvironmentVariableName.COLLECTION_ID, None)
+    exp = os.getenv(TraceEnvironmentVariableName.EXPERIMENT, None)
+    # local to cloud scenario: workspace triad in resource.attributes
+    workspace_triad = None
+    subscription_id = os.getenv(TraceEnvironmentVariableName.SUBSCRIPTION_ID, None)
+    resource_group_name = os.getenv(TraceEnvironmentVariableName.RESOURCE_GROUP_NAME, None)
+    workspace_name = os.getenv(TraceEnvironmentVariableName.WORKSPACE_NAME, None)
+    if all([subscription_id, resource_group_name, workspace_name]):
+        workspace_triad = AzureMLWorkspaceTriad(
+            subscription_id=subscription_id,
+            resource_group_name=resource_group_name,
+            workspace_name=workspace_name,
+        )
+    # create resource, or merge to existing resource
+    res = _create_or_merge_res(collection=collection, collection_id=collection_id, exp=exp, ws_triad=workspace_triad)
+    tracer_provider = TracerProvider(resource=res)
+    # get OTLP endpoint from environment
+    endpoint = os.getenv(OTEL_EXPORTER_OTLP_ENDPOINT)
+    if endpoint is not None:
+        # create OTLP span exporter if endpoint is set
+        otlp_span_exporter = OTLPSpanExporter(endpoint=endpoint)
+        tracer_provider.add_span_processor(BatchSpanProcessor(otlp_span_exporter))
+    # set tracer provider
+    if _is_tracer_provider_set():
+        _force_set_tracer_provider(tracer_provider)
+    else:
+        trace.set_tracer_provider(tracer_provider)
diff --git a/src/promptflow/promptflow/_sdk/_user_agent.py b/src/promptflow-devkit/promptflow/_sdk/_user_agent.py
similarity index 100%
rename from src/promptflow/promptflow/_sdk/_user_agent.py
rename to src/promptflow-devkit/promptflow/_sdk/_user_agent.py
diff --git a/src/promptflow/promptflow/_sdk/_utils.py b/src/promptflow-devkit/promptflow/_sdk/_utils.py
similarity index 68%
rename from src/promptflow/promptflow/_sdk/_utils.py
rename to src/promptflow-devkit/promptflow/_sdk/_utils.py
index f1b6f6f6a5c..2253c506c9c 100644
--- a/src/promptflow/promptflow/_sdk/_utils.py
+++ b/src/promptflow-devkit/promptflow/_sdk/_utils.py
@@ -4,8 +4,8 @@
 import collections
 import datetime
 import hashlib
+import importlib
 import json
-import multiprocessing
 import os
 import platform
 import re
@@ -18,9 +18,10 @@
 from contextlib import contextmanager
 from enum import Enum
 from functools import partial
+from inspect import isfunction
 from os import PathLike
 from pathlib import Path
-from typing import Any, Dict, List, Optional, Set, Tuple, Union
+from typing import Any, Callable, Dict, List, Optional, Set, Tuple, Union
 from urllib.parse import urlparse
 
 import keyring
@@ -32,13 +33,11 @@
 from marshmallow import ValidationError
 
 import promptflow
-from promptflow._constants import EXTENSION_UA, PF_NO_INTERACTIVE_LOGIN, PF_USER_AGENT, USER_AGENT
+from promptflow._constants import ENABLE_MULTI_CONTAINER_KEY, EXTENSION_UA, FlowLanguage
 from promptflow._sdk._constants import (
     AZURE_WORKSPACE_REGEX_FORMAT,
     DAG_FILE_NAME,
     DEFAULT_ENCODING,
-    FLOW_META_JSON,
-    FLOW_META_JSON_GEN_TIMEOUT,
     FLOW_TOOLS_JSON,
     FLOW_TOOLS_JSON_GEN_TIMEOUT,
     HOME_PROMPT_FLOW_DIR,
@@ -56,31 +55,26 @@
     VARIANTS,
     AzureMLWorkspaceTriad,
     CommonYamlFields,
-    ConnectionProvider,
 )
 from promptflow._sdk._errors import (
     DecryptConnectionError,
-    GenerateFlowMetaJsonError,
     GenerateFlowToolsJsonError,
     StoreConnectionEncryptionKeyError,
     UnsecureConnectionError,
 )
 from promptflow._sdk._vendor import IgnoreFile, get_ignore_file, get_upload_files_from_folder
 from promptflow._utils.context_utils import _change_working_dir, inject_sys_path
-from promptflow._utils.dataclass_serializer import serialize
 from promptflow._utils.logger_utils import get_cli_sdk_logger
-from promptflow._utils.utils import _match_reference
+from promptflow._utils.user_agent_utils import ClientUserAgentUtil
 from promptflow._utils.yaml_utils import dump_yaml, load_yaml, load_yaml_string
 from promptflow.contracts.tool import ToolType
-from promptflow.exceptions import ErrorTarget, UserErrorException
+from promptflow.core._utils import generate_flow_meta as _generate_flow_meta
+from promptflow.core._utils import get_used_connection_names_from_dict, update_dict_value_with_connections
+from promptflow.exceptions import ErrorTarget, UserErrorException, ValidationException
 
 logger = get_cli_sdk_logger()
 
 
-def snake_to_camel(name):
-    return re.sub(r"(?:^|_)([a-z])", lambda x: x.group(1).upper(), name)
-
-
 def find_type_in_override(params_override: Optional[list] = None) -> Optional[str]:
     params_override = params_override or []
     for override in params_override:
@@ -194,144 +188,7 @@ def load_from_dict(schema: Any, data: Dict, context: Dict, additional_message: s
         return schema(context=context).load(data, **kwargs)
     except ValidationError as e:
         pretty_error = json.dumps(e.normalized_messages(), indent=2)
-        raise ValidationError(decorate_validation_error(schema, pretty_error, additional_message))
-
-
-def strip_quotation(value):
-    """
-    To avoid escaping chars in command args, args will be surrounded in quotas.
-    Need to remove the pair of quotation first.
-    """
-    if value.startswith('"') and value.endswith('"'):
-        return value[1:-1]
-    elif value.startswith("'") and value.endswith("'"):
-        return value[1:-1]
-    else:
-        return value
-
-
-def parse_variant(variant: str) -> Tuple[str, str]:
-    variant_regex = r"\${([^.]+).([^}]+)}"
-    match = re.match(variant_regex, strip_quotation(variant))
-    if match:
-        return match.group(1), match.group(2)
-    else:
-        error = ValueError(
-            f"Invalid variant format: {variant}, variant should be in format of ${{TUNING_NODE.VARIANT}}"
-        )
-        raise UserErrorException(
-            target=ErrorTarget.CONTROL_PLANE_SDK,
-            message=str(error),
-            error=error,
-        )
-
-
-# !!! Attention!!!: Please make sure you have contact with PRS team before changing the interface.
-def get_used_connection_names_from_environment_variables():
-    """The function will get all potential related connection names from current environment variables.
-    for example, if part of env var is
-    {
-      "ENV_VAR_1": "${my_connection.key}",
-      "ENV_VAR_2": "${my_connection.key2}",
-      "ENV_VAR_3": "${my_connection2.key}",
-    }
-    The function will return {"my_connection", "my_connection2"}.
-    """
-    return get_used_connection_names_from_dict(os.environ)
-
-
-def get_used_connection_names_from_dict(connection_dict: dict):
-    connection_names = set()
-    for key, val in connection_dict.items():
-        connection_name, _ = _match_reference(val)
-        if connection_name:
-            connection_names.add(connection_name)
-
-    return connection_names
-
-
-# !!! Attention!!!: Please make sure you have contact with PRS team before changing the interface.
-def update_environment_variables_with_connections(built_connections):
-    """The function will result env var value ${my_connection.key} to the real connection keys."""
-    return update_dict_value_with_connections(built_connections, os.environ)
-
-
-def _match_env_reference(val: str):
-    try:
-        val = val.strip()
-        m = re.match(r"^\$\{env:(.+)}$", val)
-        if not m:
-            return None
-        name = m.groups()[0]
-        return name
-    except Exception:
-        # for exceptions when val is not a string, return
-        return None
-
-
-def override_connection_config_with_environment_variable(connections: Dict[str, dict]):
-    """
-    The function will use relevant environment variable to override connection configurations. For instance, if there
-    is a custom connection named 'custom_connection' with a configuration key called 'chat_deployment_name,' the
-    function will attempt to retrieve 'chat_deployment_name' from the environment variable
-    'CUSTOM_CONNECTION_CHAT_DEPLOYMENT_NAME' by default. If the environment variable is not set, it will use the
-    original value as a fallback.
-    """
-    for connection_name, connection in connections.items():
-        values = connection.get("value", {})
-        for key, val in values.items():
-            connection_name = connection_name.replace(" ", "_")
-            env_name = f"{connection_name}_{key}".upper()
-            if env_name not in os.environ:
-                continue
-            values[key] = os.environ[env_name]
-            logger.info(f"Connection {connection_name}'s {key} is overridden with environment variable {env_name}")
-    return connections
-
-
-def resolve_connections_environment_variable_reference(connections: Dict[str, dict]):
-    """The function will resolve connection secrets env var reference like api_key: ${env:KEY}"""
-    for connection in connections.values():
-        values = connection.get("value", {})
-        for key, val in values.items():
-            if not _match_env_reference(val):
-                continue
-            env_name = _match_env_reference(val)
-            if env_name not in os.environ:
-                raise UserErrorException(f"Environment variable {env_name} is not found.")
-            values[key] = os.environ[env_name]
-    return connections
-
-
-def update_dict_value_with_connections(built_connections, connection_dict: dict):
-    for key, val in connection_dict.items():
-        connection_name, connection_key = _match_reference(val)
-        if connection_name is None:
-            continue
-        if connection_name not in built_connections:
-            continue
-        if connection_key not in built_connections[connection_name]["value"]:
-            continue
-        connection_dict[key] = built_connections[connection_name]["value"][connection_key]
-
-
-def in_jupyter_notebook() -> bool:
-    """
-    Checks if user is using a Jupyter Notebook. This is necessary because logging is not allowed in
-    non-Jupyter contexts.
-
-    Adapted from https://stackoverflow.com/a/22424821
-    """
-    try:  # cspell:ignore ipython
-        from IPython import get_ipython
-
-        if "IPKernelApp" not in get_ipython().config:
-            return False
-    except ImportError:
-        return False
-    except AttributeError:
-        return False
-    return True
+        raise ValidationException(decorate_validation_error(schema, pretty_error, additional_message))
 
 
 def render_jinja_template(template_path, *, trim_blocks=True, keep_trailing_newline=True, **kwargs):
@@ -439,7 +296,7 @@ def additional_includes_copy(src, relative_path, target_dir):
     with tempfile.TemporaryDirectory() as temp_dir:
         shutil.copytree(code_path.resolve().as_posix(), temp_dir, dirs_exist_ok=True)
         for item in _get_additional_includes(yaml_path):
-            src_path = Path(item)
+            src_path = Path(str(item))
             if not src_path.is_absolute():
                 src_path = (code_path / item).resolve()
 
@@ -451,9 +308,7 @@ def additional_includes_copy(src, relative_path, target_dir):
             if not src_path.exists():
                 error = ValueError(f"Unable to find additional include {item}")
                 raise UserErrorException(
-                    target=ErrorTarget.CONTROL_PLANE_SDK,
-                    message=str(error),
-                    error=error,
+                    target=ErrorTarget.CONTROL_PLANE_SDK, message=str(error), error=error, privacy_info=[item]
                 )
 
             additional_includes_copy(src_path, relative_path=src_path.name, target_dir=temp_dir)
@@ -775,62 +630,6 @@ def generate_flow_tools_json(
     return flow_tools
 
 
-class ClientUserAgentUtil:
-    """SDK/CLI side user agent utilities."""
-
-    @classmethod
-    def _get_context(cls):
-        from promptflow._core.operation_context import OperationContext
-
-        return OperationContext.get_instance()
-
-    @classmethod
-    def get_user_agent(cls):
-        from promptflow._core.operation_context import OperationContext
-
-        context = cls._get_context()
-        # directly get from context since client side won't need promptflow/xxx.
-        return context.get(OperationContext.USER_AGENT_KEY, "").strip()
-
-    @classmethod
-    def append_user_agent(cls, user_agent: Optional[str]):
-        if not user_agent:
-            return
-        context = cls._get_context()
-        context.append_user_agent(user_agent)
-
-    @classmethod
-    def update_user_agent_from_env_var(cls):
-        # this is for backward compatibility: we should use PF_USER_AGENT in newer versions.
-        for env_name in [USER_AGENT, PF_USER_AGENT]:
-            if env_name in os.environ:
-                cls.append_user_agent(os.environ[env_name])
-
-    @classmethod
-    def update_user_agent_from_config(cls):
-        """Update user agent from config. 1p customer will set it. We'll add PFCustomer_ as prefix."""
-        from promptflow._sdk._configuration import Configuration
-
-        config = Configuration.get_instance()
-        user_agent = config.get_user_agent()
-        if user_agent:
-            cls.append_user_agent(user_agent)
-
-
-def setup_user_agent_to_operation_context(user_agent):
-    """Setup user agent to OperationContext.
-    For calls from extension, ua will be like: prompt-flow-extension/ promptflow-cli/ promptflow-sdk/
-    For calls from CLI, ua will be like: promptflow-cli/ promptflow-sdk/
-    For calls from SDK, ua will be like: promptflow-sdk/
-    For 1p customer call which set user agent in config, ua will be like: PFCustomer_XXX/
-    """
-    # add user added UA after SDK/CLI
-    ClientUserAgentUtil.append_user_agent(user_agent)
-    ClientUserAgentUtil.update_user_agent_from_env_var()
-    ClientUserAgentUtil.update_user_agent_from_config()
-    return ClientUserAgentUtil.get_user_agent()
-
-
 def call_from_extension() -> bool:
     """Return true if current request is from extension."""
     ClientUserAgentUtil.update_user_agent_from_env_var()
@@ -865,29 +664,6 @@ def is_template(path: str):
             )
 
 
-def get_local_connections_from_executable(
-    executable, client, connections_to_ignore: List[str] = None, connections_to_add: List[str] = None
-):
-    """Get local connections from executable.
-
-    executable: The executable flow object.
-    client: Local client to get connections.
-    connections_to_ignore: The connection names to ignore when getting connections.
-    connections_to_add: The connection names to add when getting connections.
-    """
-
-    connection_names = executable.get_connection_names()
-    if connections_to_add:
-        connection_names.update(connections_to_add)
-    connections_to_ignore = connections_to_ignore or []
-    result = {}
-    for n in connection_names:
-        if n not in connections_to_ignore:
-            conn = client.connections.get(name=n, with_secrets=True)
-            result[n] = conn._to_execution_connection_dict()
-    return result
-
-
 def _generate_connections_dir():
     # Get Python executable path
     python_path = sys.executable
@@ -928,45 +704,6 @@ def refresh_connections_dir(connection_spec_files, connection_template_yamls):
                     dump_yaml(yaml_data, f)
 
 
-def dump_flow_result(flow_folder, prefix, flow_result=None, node_result=None, custom_path=None):
-    """Dump flow result for extension.
-
-    :param flow_folder: The flow folder.
-    :param prefix: The file prefix.
-    :param flow_result: The flow result returned by exec_line.
-    :param node_result: The node result when test node returned by load_and_exec_node.
-    :param custom_path: The custom path to dump flow result.
-    """
-    if flow_result:
-        flow_serialize_result = {
-            "flow_runs": [serialize(flow_result.run_info)],
-            "node_runs": [serialize(run) for run in flow_result.node_run_infos.values()],
-        }
-    else:
-        flow_serialize_result = {
-            "flow_runs": [],
-            "node_runs": [serialize(node_result)],
-        }
-
-    dump_folder = Path(flow_folder) / PROMPT_FLOW_DIR_NAME if custom_path is None else Path(custom_path)
-    dump_folder.mkdir(parents=True, exist_ok=True)
-
-    with open(dump_folder / f"{prefix}.detail.json", "w", encoding=DEFAULT_ENCODING) as f:
-        json.dump(flow_serialize_result, f, indent=2, ensure_ascii=False)
-    if node_result:
-        metrics = flow_serialize_result["node_runs"][0]["metrics"]
-        output = flow_serialize_result["node_runs"][0]["output"]
-    else:
-        metrics = flow_serialize_result["flow_runs"][0]["metrics"]
-        output = flow_serialize_result["flow_runs"][0]["output"]
-    if metrics:
-        with open(dump_folder / f"{prefix}.metrics.json", "w", encoding=DEFAULT_ENCODING) as f:
-            json.dump(metrics, f, indent=2, ensure_ascii=False)
-    if output:
-        with open(dump_folder / f"{prefix}.output.json", "w", encoding=DEFAULT_ENCODING) as f:
-            json.dump(output, f, indent=2, ensure_ascii=False)
-
-
 def read_write_by_user():
     return stat.S_IRUSR | stat.S_IWUSR
 
@@ -982,20 +719,10 @@ def remove_empty_element_from_dict(obj: dict) -> dict:
     return new_dict
 
 
-def is_github_codespaces():
-    # Ref:
-    # https://docs.github.com/en/codespaces/developing-in-a-codespace/default-environment-variables-for-your-codespace
-    return os.environ.get("CODESPACES", None) == "true"
-
-
-def interactive_credential_disabled():
-    return os.environ.get(PF_NO_INTERACTIVE_LOGIN, "false").lower() == "true"
-
-
-def is_from_cli():
-    from promptflow._cli._user_agent import USER_AGENT as CLI_UA
-
-    return CLI_UA in ClientUserAgentUtil.get_user_agent()
+def is_multi_container_enabled():
+    if ENABLE_MULTI_CONTAINER_KEY in os.environ:
+        return os.environ[ENABLE_MULTI_CONTAINER_KEY].lower() == "true"
+    return None
 
 
 def is_url(value: Union[PathLike, str]) -> bool:
@@ -1045,41 +772,6 @@ def parse_remote_flow_pattern(flow: object) -> str:
     return flow_name
 
 
-def get_connection_operation(connection_provider: str, credential=None, user_agent: str = None):
-    """
-    Get connection operation based on connection provider.
-    This function will be called by PFClient, so please do not refer to PFClient in this function.
-
-    :param connection_provider: Connection provider, e.g. local, azureml, azureml://subscriptions..., etc.
-    :type connection_provider: str
-    :param credential: Credential when remote provider, default to chained credential DefaultAzureCredential.
-    :type credential: object
-    :param user_agent: User Agent
-    :type user_agent: str
-    """
-    if connection_provider == ConnectionProvider.LOCAL.value:
-        from promptflow._sdk.operations._connection_operations import ConnectionOperations
-
-        logger.debug("PFClient using local connection operations.")
-        connection_operation = ConnectionOperations()
-    elif connection_provider.startswith(ConnectionProvider.AZUREML.value):
-        from promptflow._sdk.operations._local_azure_connection_operations import LocalAzureConnectionOperations
-
-        logger.debug(f"PFClient using local azure connection operations with credential {credential}.")
-        if user_agent is None:
-            connection_operation = LocalAzureConnectionOperations(connection_provider, credential=credential)
-        else:
-            connection_operation = LocalAzureConnectionOperations(connection_provider, user_agent=user_agent)
-    else:
-        error = ValueError(f"Unsupported connection provider: {connection_provider}")
-        raise UserErrorException(
-            target=ErrorTarget.CONTROL_PLANE_SDK,
-            message=str(error),
-            error=error,
-        )
-    return connection_operation
-
-
 # extract open read/write as partial to centralize the encoding
 read_open = partial(open, mode="r", encoding=DEFAULT_ENCODING)
 write_open = partial(open, mode="w", encoding=DEFAULT_ENCODING)
@@ -1153,11 +845,10 @@ def gen_uuid_by_compute_info() -> Union[str, None]:
     return str(uuid.uuid4())
 
 
-def convert_time_unix_nano_to_timestamp(time_unix_nano: str) -> str:
+def convert_time_unix_nano_to_timestamp(time_unix_nano: str) -> datetime.datetime:
     nanoseconds = int(time_unix_nano)
     seconds = nanoseconds / 1_000_000_000
-    timestamp = datetime.datetime.utcfromtimestamp(seconds)
-    return timestamp.isoformat()
+    return datetime.datetime.utcfromtimestamp(seconds)
 
 
 def parse_kv_from_pb_attribute(attribute: Dict) -> Tuple[str, str]:
@@ -1202,86 +893,6 @@ def _generate_meta_from_file(working_dir, source_path, entry, meta_dict, excepti
             exception_list.append(str(e))
 
 
-def _generate_flow_meta(
-    flow_directory: Path,
-    source_path: str,
-    entry: str,
-    timeout: int,
-    *,
-    load_in_subprocess: bool = True,
-) -> Dict[str, dict]:
-    """Generate tool meta from files.
-
-    :param flow_directory: flow directory
-    :param tools: tool list
-    :param raise_error: whether raise error when generate meta failed
-    :param timeout: timeout for generate meta
-    :param include_errors_in_output: whether include errors in output
-    :param load_in_subprocess: whether load tool meta with subprocess to prevent system path disturb. Default is True.
-        If set to False, will load tool meta in sync mode and timeout need to be handled outside current process.
-    :return: tool meta dict
-    """
-    if load_in_subprocess:
-        # use multiprocess generate to avoid system path disturb
-        manager = multiprocessing.Manager()
-        meta_dict = manager.dict()
-        exception_list = manager.list()
-        p = multiprocessing.Process(
-            target=_generate_meta_from_file, args=(flow_directory, source_path, entry, meta_dict, exception_list)
-        )
-        p.start()
-        p.join(timeout=timeout)
-        if p.is_alive():
-            logger.warning(f"Generate meta timeout after {timeout} seconds, terminate the process.")
-            p.terminate()
-            p.join()
-    else:
-        meta_dict, exception_list = {}, []
-
-        #  There is no built-in method to forcefully stop a running thread/coroutine in Python
-        #  because abruptly stopping a thread can cause issues like resource leaks,
-        #  deadlocks, or inconsistent states.
-        #  Caller needs to handle the timeout outside current process.
-        logger.warning(
-            "Generate meta in current process and timeout won't take effect. "
-            "Please handle timeout manually outside current process."
-        )
-        _generate_meta_from_file(flow_directory, source_path, entry, meta_dict, exception_list)
-    # directly raise error if failed to generate meta
-    if len(exception_list) > 0:
-        error_message = "Generate meta failed, detail error:\n" + str(exception_list)
-        raise GenerateFlowMetaJsonError(error_message)
-    return dict(meta_dict)
-
-
-def generate_flow_meta(
-    flow_directory: Union[str, Path],
-    source_path: str,
-    entry: str,
-    dump: bool = True,
-    timeout: int = FLOW_META_JSON_GEN_TIMEOUT,
-    load_in_subprocess: bool = True,
-) -> dict:
-    """Generate flow.json for a flow directory."""
-
-    flow_meta = _generate_flow_meta(
-        flow_directory=flow_directory,
-        source_path=source_path,
-        entry=entry,
-        timeout=timeout,
-        load_in_subprocess=load_in_subprocess,
-    )
-
-    if dump:
-        # dump as flow.tools.json
-        promptflow_folder = flow_directory / PROMPT_FLOW_DIR_NAME
-        promptflow_folder.mkdir(exist_ok=True)
-        with open(promptflow_folder / FLOW_META_JSON, mode="w", encoding=DEFAULT_ENCODING) as f:
-            json.dump(flow_meta, f, indent=4)
-
-    return flow_meta
-
-
 def extract_workspace_triad_from_trace_provider(trace_provider: str) -> AzureMLWorkspaceTriad:
     match = re.match(AZURE_WORKSPACE_REGEX_FORMAT, trace_provider)
     if not match or len(match.groups()) != 5:
@@ -1303,3 +914,85 @@ def overwrite_null_std_logger():
         sys.stdout = open(os.devnull, "w")
     if sys.stderr is None:
         sys.stderr = sys.stdout
+
+
+@contextmanager
+def generate_yaml_entry(entry: Union[str, PathLike, Callable], code: Path = None):
+    """Generate yaml entry to run."""
+    from promptflow._proxy import ProxyFactory
+
+    executor_proxy = ProxyFactory().get_executor_proxy_cls(FlowLanguage.Python)
+    if callable(entry) or executor_proxy.is_flex_flow_entry(entry=entry):
+        with create_temp_flex_flow_yaml(entry, code) as flow_yaml_path:
+            yield flow_yaml_path
+    else:
+        if code:
+            logger.warning(f"Specify code {code} is only supported for Python flex flow entry, ignoring it.")
+        yield entry
+
+
+@contextmanager
+def create_temp_flex_flow_yaml(entry: Union[str, PathLike, Callable], code: Path = None):
+    """Create a temporary flow.dag.yaml in code folder"""
+    logger.info("Create temporary entry for flex flow.")
+    if callable(entry):
+        entry = callable_to_entry_string(entry)
+    if not code:
+        code = Path.cwd()
+        logger.warning(f"Code path is not specified, use current working directory: {code.as_posix()}")
+    else:
+        code = Path(code)
+        if not code.exists():
+            raise UserErrorException(f"Code path {code.as_posix()} does not exist.")
+    flow_yaml_path = code / DAG_FILE_NAME
+    existing_content = None
+
+    try:
+        if flow_yaml_path.exists():
+            logger.warning(f"Found existing {flow_yaml_path.as_posix()}, will not respect it in runtime.")
+            with open(flow_yaml_path, "r", encoding=DEFAULT_ENCODING) as f:
+                existing_content = f.read()
+        with open(flow_yaml_path, "w", encoding=DEFAULT_ENCODING) as f:
+            dump_yaml({"entry": entry}, f)
+        yield flow_yaml_path
+    finally:
+        # delete the file or recover the content
+        if flow_yaml_path.exists():
+            if existing_content:
+                with open(flow_yaml_path, "w", encoding=DEFAULT_ENCODING) as f:
+                    f.write(existing_content)
+            else:
+                try:
+                    flow_yaml_path.unlink()
+                except Exception as e:
+                    logger.warning(f"Failed to delete generated: {flow_yaml_path.as_posix()}, error: {e}")
+
+
+def callable_to_entry_string(callable_obj: Callable) -> str:
+    """Convert callable object to entry string."""
+    if not isfunction(callable_obj):
+        raise UserErrorException(f"{callable_obj} is not function, only function is supported.")
+
+    try:
+        module_str = callable_obj.__module__
+        func_str = callable_obj.__name__
+    except AttributeError as e:
+        raise UserErrorException(
+            f"Failed to convert {callable_obj} to entry, please make sure it has __module__ and __name__"
+        ) from e
+
+    # check if callable can be imported from module
+    module = importlib.import_module(module_str)
+    func = getattr(module, func_str, None)
+    if not func:
+        raise UserErrorException(
+            f"Failed to import {callable_obj} from module {module}, please make sure it's a global function."
+        )
+
+    return f"{module_str}:{func_str}"
+
+
+generate_flow_meta = _generate_flow_meta
+# DO NOT remove the following line, it's used by the runtime imports from _sdk/_utils directly
+get_used_connection_names_from_dict = get_used_connection_names_from_dict
+update_dict_value_with_connections = update_dict_value_with_connections
diff --git a/src/promptflow/promptflow/_sdk/_vendor/__init__.py b/src/promptflow-devkit/promptflow/_sdk/_vendor/__init__.py
similarity index 100%
rename from src/promptflow/promptflow/_sdk/_vendor/__init__.py
rename to src/promptflow-devkit/promptflow/_sdk/_vendor/__init__.py
diff --git a/src/promptflow/promptflow/_sdk/_vendor/_asset_utils.py b/src/promptflow-devkit/promptflow/_sdk/_vendor/_asset_utils.py
similarity index 100%
rename from src/promptflow/promptflow/_sdk/_vendor/_asset_utils.py
rename to src/promptflow-devkit/promptflow/_sdk/_vendor/_asset_utils.py
diff --git a/src/promptflow/promptflow/_sdk/_vendor/_pathspec.py b/src/promptflow-devkit/promptflow/_sdk/_vendor/_pathspec.py
similarity index 100%
rename from src/promptflow/promptflow/_sdk/_vendor/_pathspec.py
rename to src/promptflow-devkit/promptflow/_sdk/_vendor/_pathspec.py
diff --git a/src/promptflow/promptflow/_sdk/_visualize_functions.py b/src/promptflow-devkit/promptflow/_sdk/_visualize_functions.py
similarity index 100%
rename from src/promptflow/promptflow/_sdk/_visualize_functions.py
rename to src/promptflow-devkit/promptflow/_sdk/_visualize_functions.py
diff --git a/src/promptflow/promptflow/_sdk/data/docker/Dockerfile.jinja2 b/src/promptflow-devkit/promptflow/_sdk/data/docker/Dockerfile.jinja2
similarity index 100%
rename from src/promptflow/promptflow/_sdk/data/docker/Dockerfile.jinja2
rename to src/promptflow-devkit/promptflow/_sdk/data/docker/Dockerfile.jinja2
diff --git a/src/promptflow/promptflow/_sdk/data/docker/README.md b/src/promptflow-devkit/promptflow/_sdk/data/docker/README.md
similarity index 100%
rename from src/promptflow/promptflow/_sdk/data/docker/README.md
rename to src/promptflow-devkit/promptflow/_sdk/data/docker/README.md
diff --git a/src/promptflow/promptflow/_sdk/data/docker/runit/promptflow-serve/finish.jinja2 b/src/promptflow-devkit/promptflow/_sdk/data/docker/runit/promptflow-serve/finish.jinja2
similarity index 84%
rename from src/promptflow/promptflow/_sdk/data/docker/runit/promptflow-serve/finish.jinja2
rename to src/promptflow-devkit/promptflow/_sdk/data/docker/runit/promptflow-serve/finish.jinja2
index b0961c27f9d..2724feee4f0 100644
--- a/src/promptflow/promptflow/_sdk/data/docker/runit/promptflow-serve/finish.jinja2
+++ b/src/promptflow-devkit/promptflow/_sdk/data/docker/runit/promptflow-serve/finish.jinja2
@@ -10,4 +10,4 @@ while pgrep gunicorn >/dev/null; do
   sleep 1
 done
 
-echo "$(date -uIns) - Stopped all Gunicorn processes"
\ No newline at end of file
+echo "$(date -uIns) - Stopped all Gunicorn processes"
diff --git a/src/promptflow/promptflow/_sdk/data/docker/runit/promptflow-serve/run.jinja2 b/src/promptflow-devkit/promptflow/_sdk/data/docker/runit/promptflow-serve/run.jinja2
similarity index 93%
rename from src/promptflow/promptflow/_sdk/data/docker/runit/promptflow-serve/run.jinja2
rename to src/promptflow-devkit/promptflow/_sdk/data/docker/runit/promptflow-serve/run.jinja2
index fde584c9e29..3ae52985eff 100644
--- a/src/promptflow/promptflow/_sdk/data/docker/runit/promptflow-serve/run.jinja2
+++ b/src/promptflow-devkit/promptflow/_sdk/data/docker/runit/promptflow-serve/run.jinja2
@@ -15,4 +15,4 @@ pf connection create --file /{{ connection_yaml_path }}
 {% endfor %}
 echo "start promptflow serving with worker_num: 8, worker_threads: 1"
 cd /flow
-gunicorn -w 8 --threads 1 -b "0.0.0.0:8080" --timeout 300 "promptflow._sdk._serving.app:create_app()"
\ No newline at end of file
+gunicorn -w 8 --threads 1 -b "0.0.0.0:8080" --timeout 300 "promptflow.core._serving.app:create_app()"
diff --git a/src/promptflow/promptflow/_sdk/data/docker/start.sh.jinja2 b/src/promptflow-devkit/promptflow/_sdk/data/docker/start.sh.jinja2
similarity index 100%
rename from src/promptflow/promptflow/_sdk/data/docker/start.sh.jinja2
rename to src/promptflow-devkit/promptflow/_sdk/data/docker/start.sh.jinja2
diff --git a/src/promptflow/promptflow/_sdk/data/docker_csharp/Dockerfile.jinja2 b/src/promptflow-devkit/promptflow/_sdk/data/docker_csharp/Dockerfile.jinja2
similarity index 100%
rename from src/promptflow/promptflow/_sdk/data/docker_csharp/Dockerfile.jinja2
rename to src/promptflow-devkit/promptflow/_sdk/data/docker_csharp/Dockerfile.jinja2
diff --git a/src/promptflow/promptflow/_sdk/data/docker_csharp/README.md b/src/promptflow-devkit/promptflow/_sdk/data/docker_csharp/README.md
similarity index 100%
rename from src/promptflow/promptflow/_sdk/data/docker_csharp/README.md
rename to src/promptflow-devkit/promptflow/_sdk/data/docker_csharp/README.md
diff --git a/src/promptflow/promptflow/_sdk/data/docker_csharp/runit/promptflow-serve/finish.jinja2 b/src/promptflow-devkit/promptflow/_sdk/data/docker_csharp/runit/promptflow-serve/finish.jinja2
similarity index 53%
rename from src/promptflow/promptflow/_sdk/data/docker_csharp/runit/promptflow-serve/finish.jinja2
rename to src/promptflow-devkit/promptflow/_sdk/data/docker_csharp/runit/promptflow-serve/finish.jinja2
index 893917dbc93..f558ebb2b45 100644
--- a/src/promptflow/promptflow/_sdk/data/docker_csharp/runit/promptflow-serve/finish.jinja2
+++ b/src/promptflow-devkit/promptflow/_sdk/data/docker_csharp/runit/promptflow-serve/finish.jinja2
@@ -1,4 +1,4 @@
 #!/bin/bash
 
 echo "$(date -uIns) - promptflow-serve/finish $@"
-echo "$(date -uIns) - Stopped all Gunicorn processes"
\ No newline at end of file
+echo "$(date -uIns) - Stopped all Gunicorn processes"
diff --git a/src/promptflow/promptflow/_sdk/data/docker_csharp/runit/promptflow-serve/run.jinja2 b/src/promptflow-devkit/promptflow/_sdk/data/docker_csharp/runit/promptflow-serve/run.jinja2
similarity index 87%
rename from src/promptflow/promptflow/_sdk/data/docker_csharp/runit/promptflow-serve/run.jinja2
rename to src/promptflow-devkit/promptflow/_sdk/data/docker_csharp/runit/promptflow-serve/run.jinja2
index 6b26d0ac782..4168008ce2f 100644
--- a/src/promptflow/promptflow/_sdk/data/docker_csharp/runit/promptflow-serve/run.jinja2
+++ b/src/promptflow-devkit/promptflow/_sdk/data/docker_csharp/runit/promptflow-serve/run.jinja2
@@ -2,4 +2,4 @@
 
 echo "start promptflow serving"
 cd /flow
-dotnet Promptflow.dll --port "8080" --yaml_path "flow.dag.yaml" --assembly_folder "." --connection_folder_path  "../connections" --log_path "" --serving
\ No newline at end of file
+dotnet Promptflow.dll --port "8080" --yaml_path "flow.dag.yaml" --assembly_folder "." --connection_folder_path  "../connections" --log_path "" --serving
diff --git a/src/promptflow/promptflow/_sdk/data/docker_csharp/start.sh.jinja2 b/src/promptflow-devkit/promptflow/_sdk/data/docker_csharp/start.sh.jinja2
similarity index 100%
rename from src/promptflow/promptflow/_sdk/data/docker_csharp/start.sh.jinja2
rename to src/promptflow-devkit/promptflow/_sdk/data/docker_csharp/start.sh.jinja2
diff --git a/src/promptflow/promptflow/_sdk/data/executable/README.md b/src/promptflow-devkit/promptflow/_sdk/data/executable/README.md
similarity index 100%
rename from src/promptflow/promptflow/_sdk/data/executable/README.md
rename to src/promptflow-devkit/promptflow/_sdk/data/executable/README.md
diff --git a/src/promptflow/promptflow/_sdk/data/executable/app.py b/src/promptflow-devkit/promptflow/_sdk/data/executable/app.py
similarity index 100%
rename from src/promptflow/promptflow/_sdk/data/executable/app.py
rename to src/promptflow-devkit/promptflow/_sdk/data/executable/app.py
diff --git a/src/promptflow/promptflow/_sdk/data/executable/app.spec.jinja2 b/src/promptflow-devkit/promptflow/_sdk/data/executable/app.spec.jinja2
similarity index 100%
rename from src/promptflow/promptflow/_sdk/data/executable/app.spec.jinja2
rename to src/promptflow-devkit/promptflow/_sdk/data/executable/app.spec.jinja2
diff --git a/src/promptflow/promptflow/_sdk/data/executable/logo.png b/src/promptflow-devkit/promptflow/_sdk/data/executable/logo.png
similarity index 100%
rename from src/promptflow/promptflow/_sdk/data/executable/logo.png
rename to src/promptflow-devkit/promptflow/_sdk/data/executable/logo.png
diff --git a/src/promptflow/promptflow/_sdk/data/executable/main.py b/src/promptflow-devkit/promptflow/_sdk/data/executable/main.py
similarity index 66%
rename from src/promptflow/promptflow/_sdk/data/executable/main.py
rename to src/promptflow-devkit/promptflow/_sdk/data/executable/main.py
index 06970baf82f..a322b7a1fdb 100644
--- a/src/promptflow/promptflow/_sdk/data/executable/main.py
+++ b/src/promptflow-devkit/promptflow/_sdk/data/executable/main.py
@@ -10,13 +10,12 @@
 from streamlit_quill import st_quill
 from utils import dict_iter_render_message, parse_image_content, parse_list_from_html, render_single_dict_message
 
-from promptflow import load_flow
 from promptflow._constants import STREAMING_ANIMATION_TIME
-from promptflow._sdk._submitter.utils import resolve_generator, resolve_generator_output_with_cache
-from promptflow._sdk._utils import dump_flow_result
-from promptflow._utils.multimedia_utils import convert_multimedia_data_to_base64, persist_multimedia_data
-
-invoker = None
+from promptflow._sdk._orchestrator import TestSubmitter
+from promptflow._sdk._orchestrator.utils import resolve_generator, resolve_generator_output_with_cache
+from promptflow._utils.flow_utils import dump_flow_result
+from promptflow._utils.multimedia_utils import BasicMultimediaProcessor
+from promptflow.client import load_flow
 
 
 def start():
@@ -46,15 +45,18 @@ def get_chat_history_from_session():
     def post_process_dump_result(response, session_state_history, *, generator_record):
         response = resolve_generator(response, generator_record)
         # Get base64 for multi modal object
+        # Just use BasicMultimediaProcessor to keep the original logic here.
+        # TODO: Add support for other multimedia types
+        multimedia_processor = BasicMultimediaProcessor()
         resolved_outputs = {
-            k: convert_multimedia_data_to_base64(v, with_type=True, dict_type=True) for k, v in response.output.items()
+            k: multimedia_processor.convert_multimedia_data_to_base64_dict(v) for k, v in response.output.items()
         }
         st.session_state.messages.append(("assistant", resolved_outputs))
         session_state_history.update({"outputs": response.output})
         st.session_state.history.append(session_state_history)
         if is_chat_flow:
             dump_path = Path(flow_path).parent
-            response.output = persist_multimedia_data(
+            response.output = multimedia_processor.persist_multimedia_data(
                 response.output, base_dir=dump_path, sub_dir=Path(".promptflow/output")
             )
             dump_flow_result(flow_folder=dump_path, flow_result=response, prefix="chat")
@@ -71,55 +73,45 @@ def submit(**kwargs) -> None:
             render_message("user", kwargs)
         # Force append chat history to kwargs
         if is_chat_flow:
-            response = run_flow({chat_history_input_name: get_chat_history_from_session(), **kwargs})
-        else:
-            response = run_flow(kwargs)
-
-        if response.run_info.status.value == "Failed":
-            raise Exception(response.run_info.error)
-
-        if is_streaming:
-            # Display assistant response in chat message container
+            kwargs[chat_history_input_name] = get_chat_history_from_session()
+
+        flow = load_flow(flow_path)
+        with TestSubmitter(flow=flow, flow_context=flow.context).init(stream_output=is_streaming) as submitter:
+            # can't exit the context manager before the generator is fully consumed
+            response = submitter.flow_test(inputs=kwargs, allow_generator_output=is_streaming)
+
+            if response.run_info.status.value == "Failed":
+                raise Exception(response.run_info.error)
+
+            if is_streaming:
+                # Display assistant response in chat message container
+                with container:
+                    with st.chat_message("assistant"):
+                        message_placeholder = st.empty()
+                        full_response = f"{chat_output_name}: "
+                        prefix_length = len(full_response)
+                        chat_output = response.output[chat_output_name]
+                        if isinstance(chat_output, GeneratorType):
+                            # Simulate stream of response with milliseconds delay
+                            for chunk in resolve_generator_output_with_cache(
+                                chat_output, generator_record, generator_key=f"run.outputs.{chat_output_name}"
+                            ):
+                                # there should be no extra spaces between adjacent chunks?
+                                full_response += chunk
+                                time.sleep(STREAMING_ANIMATION_TIME)
+                                # Add a blinking cursor to simulate typing
+                                message_placeholder.markdown(full_response + "▌")
+                            message_placeholder.markdown(full_response)
+                            response.output[chat_output_name] = full_response[prefix_length:]
+                            post_process_dump_result(response, session_state_history, generator_record=generator_record)
+                            return
+
+            # generator in response has been fully consumed here
+            resolved_outputs = post_process_dump_result(
+                response, session_state_history, generator_record=generator_record
+            )
             with container:
-                with st.chat_message("assistant"):
-                    message_placeholder = st.empty()
-                    full_response = f"{chat_output_name}: "
-                    prefix_length = len(full_response)
-                    chat_output = response.output[chat_output_name]
-                    if isinstance(chat_output, GeneratorType):
-                        # Simulate stream of response with milliseconds delay
-                        for chunk in resolve_generator_output_with_cache(
-                            chat_output, generator_record, generator_key=f"run.outputs.{chat_output_name}"
-                        ):
-                            # there should be no extra spaces between adjacent chunks?
-                            full_response += chunk
-                            time.sleep(STREAMING_ANIMATION_TIME)
-                            # Add a blinking cursor to simulate typing
-                            message_placeholder.markdown(full_response + "▌")
-                        message_placeholder.markdown(full_response)
-                        response.output[chat_output_name] = full_response[prefix_length:]
-                        post_process_dump_result(response, session_state_history, generator_record=generator_record)
-                        return
-
-        resolved_outputs = post_process_dump_result(response, session_state_history, generator_record=generator_record)
-        with container:
-            render_message("assistant", resolved_outputs)
-
-    def run_flow(data: dict) -> dict:
-        global invoker
-        if not invoker:
-            if flow_path:
-                flow = Path(flow_path)
-            else:
-                flow = Path(__file__).parent / "flow"
-            if flow.is_dir():
-                os.chdir(flow)
-            else:
-                os.chdir(flow.parent)
-            invoker = load_flow(flow)
-            invoker.context.streaming = is_streaming
-        result = invoker.invoke(data)
-        return result
+                render_message("assistant", resolved_outputs)
 
     image = Image.open(Path(__file__).parent / "logo.png")
     st.set_page_config(
@@ -203,12 +195,24 @@ def run_flow(data: dict) -> dict:
                 st.rerun()
 
 
+def resolve_flow_path(_from_config):
+    if _from_config:
+        result = Path(_from_config)
+    else:
+        result = Path(__file__).parent / "flow"
+    if result.is_dir():
+        os.chdir(result)
+    else:
+        os.chdir(result.parent)
+    return result
+
+
 if __name__ == "__main__":
     with open(Path(__file__).parent / "config.json", "r") as f:
         config = json.load(f)
         is_chat_flow = config["is_chat_flow"]
         chat_history_input_name = config["chat_history_input_name"]
-        flow_path = config["flow_path"]
+        flow_path = resolve_flow_path(config["flow_path"])
         flow_name = config["flow_name"]
         flow_inputs = config["flow_inputs"]
         label = config["label"]
diff --git a/src/promptflow/promptflow/_sdk/data/executable/utils.py b/src/promptflow-devkit/promptflow/_sdk/data/executable/utils.py
similarity index 97%
rename from src/promptflow/promptflow/_sdk/data/executable/utils.py
rename to src/promptflow-devkit/promptflow/_sdk/data/executable/utils.py
index c62c283a75b..838a2e39409 100644
--- a/src/promptflow/promptflow/_sdk/data/executable/utils.py
+++ b/src/promptflow-devkit/promptflow/_sdk/data/executable/utils.py
@@ -5,7 +5,7 @@
 import streamlit as st
 from bs4 import BeautifulSoup, NavigableString, Tag
 
-from promptflow._utils.multimedia_utils import MIME_PATTERN, is_multimedia_dict
+from promptflow._utils.multimedia_utils import MIME_PATTERN, BasicMultimediaProcessor
 
 
 def show_image(image, key=None):
@@ -79,7 +79,7 @@ def list_iter_render_message(message_items):
 
 
 def dict_iter_render_message(message_items):
-    if is_multimedia_dict(message_items):
+    if BasicMultimediaProcessor.is_multimedia_dict(message_items):
         key = list(message_items.keys())[0]
         value = message_items[key]
         show_image(value, key)
diff --git a/src/promptflow/promptflow/_sdk/data/visualize.j2 b/src/promptflow-devkit/promptflow/_sdk/data/visualize.j2
similarity index 100%
rename from src/promptflow/promptflow/_sdk/data/visualize.j2
rename to src/promptflow-devkit/promptflow/_sdk/data/visualize.j2
diff --git a/src/promptflow/promptflow/_sdk/entities/__init__.py b/src/promptflow-devkit/promptflow/_sdk/entities/__init__.py
similarity index 100%
rename from src/promptflow/promptflow/_sdk/entities/__init__.py
rename to src/promptflow-devkit/promptflow/_sdk/entities/__init__.py
diff --git a/src/promptflow-devkit/promptflow/_sdk/entities/_chat_group/__init__.py b/src/promptflow-devkit/promptflow/_sdk/entities/_chat_group/__init__.py
new file mode 100644
index 00000000000..1c6a05164f8
--- /dev/null
+++ b/src/promptflow-devkit/promptflow/_sdk/entities/_chat_group/__init__.py
@@ -0,0 +1,4 @@
+# ---------------------------------------------------------
+# Copyright (c) Microsoft Corporation. All rights reserved.
+# ---------------------------------------------------------
+__path__ = __import__("pkgutil").extend_path(__path__, __name__)  # type: ignore
diff --git a/src/promptflow-devkit/promptflow/_sdk/entities/_chat_group/_chat_group.py b/src/promptflow-devkit/promptflow/_sdk/entities/_chat_group/_chat_group.py
new file mode 100644
index 00000000000..138112199fa
--- /dev/null
+++ b/src/promptflow-devkit/promptflow/_sdk/entities/_chat_group/_chat_group.py
@@ -0,0 +1,236 @@
+# ---------------------------------------------------------
+# Copyright (c) Microsoft Corporation. All rights reserved.
+# ---------------------------------------------------------
+import time
+from collections import Counter
+from itertools import cycle
+from typing import Any, Dict, List, Optional
+
+from promptflow._sdk._constants import STOP_SIGNAL, ChatGroupSpeakOrder
+from promptflow._sdk._errors import ChatGroupError
+from promptflow._sdk.entities._chat_group._chat_role import ChatRole
+from promptflow._utils.logger_utils import get_cli_sdk_logger
+
+logger = get_cli_sdk_logger()
+
+
+class ChatGroup:
+    """Chat group entity, can invoke a multi-turn conversation with multiple chat roles.
+
+    :param roles: List of chat roles in the chat group.
+    :type roles: List[ChatRole]
+    :param speak_order: Speak order of the chat group. Default to be sequential which is the order of the roles list.
+    :type speak_order: ChatGroupSpeakOrder
+    :param max_turns: Maximum turns of the chat group. Default to be None which means no limit.
+    :type max_turns: Optional[int]
+    :param max_tokens: Maximum tokens of the chat group. Default to be None which means no limit.
+    :type max_tokens: Optional[int]
+    :param max_time: Maximum time of the chat group. Default to be None which means no limit.
+    :type max_time: Optional[int]
+    :param stop_signal: Stop signal of the chat group. Default to be "[STOP]".
+    :type stop_signal: Optional[str]
+    :param entry_role: Entry role of the chat group. Default to be None which means the first role in the roles list.
+        Only meaningful when speak order is not sequential.
+    """
+
+    def __init__(
+        self,
+        roles: List[ChatRole],
+        speak_order: ChatGroupSpeakOrder = ChatGroupSpeakOrder.SEQUENTIAL,
+        max_turns: Optional[int] = None,
+        max_tokens: Optional[int] = None,
+        max_time: Optional[int] = None,
+        stop_signal: Optional[str] = STOP_SIGNAL,
+        entry_role: Optional[ChatRole] = None,
+    ):
+        self._roles = roles
+        self._speak_order = speak_order
+        self._roles_dict, self._speak_order_list = self._prepare_roles(roles, entry_role, speak_order)
+        self._max_turns, self._max_tokens, self._max_time = self._validate_int_parameters(
+            max_turns, max_tokens, max_time
+        )
+        self._stop_signal = stop_signal
+        self._entry_role = entry_role
+        self._conversation_history = []
+
+    @property
+    def conversation_history(self):
+        return self._conversation_history
+
+    def _prepare_roles(self, roles: List[ChatRole], entry_role: ChatRole, speak_order: ChatGroupSpeakOrder):
+        """Prepare roles"""
+        logger.info("Preparing roles in chat group.")
+        # check roles is a non-empty list of ChatRole
+        if not isinstance(roles, list) or len(roles) == 0 or not all(isinstance(role, ChatRole) for role in roles):
+            raise ChatGroupError(f"Agents should be a non-empty list of ChatRole. Got {roles!r} instead.")
+
+        # check entry_role is in roles
+        if entry_role is not None and entry_role not in roles:
+            raise ChatGroupError(f"Entry role {entry_role.role} is not in roles list {roles!r}.")
+
+        # check if there is duplicate role name
+        role_names = [role.role for role in roles]
+        if len(role_names) != len(set(role_names)):
+            counter = Counter(role_names)
+            duplicate_roles = [role for role in counter if counter[role] > 1]
+            raise ChatGroupError(f"Duplicate roles are not allowed: {duplicate_roles!r}.")
+
+        speak_order_list = self._get_speak_order(roles, entry_role, speak_order)
+        roles_dict = {role.role: role for role in roles}
+        return roles_dict, cycle(speak_order_list)
+
+    def _get_speak_order(
+        self, roles: List[ChatRole], entry_role: Optional[ChatRole], speak_order: ChatGroupSpeakOrder
+    ) -> List[str]:
+        """Calculate speak order"""
+        if speak_order == ChatGroupSpeakOrder.SEQUENTIAL:
+            if entry_role:
+                logger.warn(
+                    f"Entry role {entry_role.role!r} is ignored when speak order is sequential. "
+                    f"The first role in the list will be the entry role: {roles[0].role!r}."
+                )
+
+            speak_order_list = [role.role for role in roles]
+            logger.info(f"Role speak order is {speak_order_list!r}.")
+            return speak_order_list
+        else:
+            raise NotImplementedError(f"Speak order {speak_order.value!r} is not supported yet.")
+
+    @staticmethod
+    def _validate_int_parameters(max_turns: int, max_tokens: int, max_time: int):
+        """Validate int parameters"""
+        logger.debug("Validating integer parameters for chat group.")
+        if max_turns is not None and not isinstance(max_turns, int):
+            raise ChatGroupError(f"max_turns should be an integer. Got {type(max_turns)!r} instead.")
+        if max_tokens is not None and not isinstance(max_tokens, int):
+            raise ChatGroupError(f"max_tokens should be an integer. Got {type(max_tokens)!r} instead.")
+        if max_time is not None and not isinstance(max_time, int):
+            raise ChatGroupError(f"max_time should be an integer. Got {type(max_time)!r} instead.")
+
+        logger.info(
+            f"Chat group maximum turns: {max_turns!r}, maximum tokens: {max_tokens!r}, maximum time: {max_time!r}."
+        )
+        return max_turns, max_tokens, max_time
+
+    def invoke(self):
+        """Invoke the chat group"""
+        logger.info("Invoking chat group.")
+
+        chat_round = 0
+        chat_token = 0
+        chat_start_time = time.time()
+        self._conversation_history = []
+        while True:
+            chat_round += 1
+
+            # select current role and run
+            current_role = self._select_role()
+            logger.info(f"[Round {chat_round}] Chat role {current_role.role!r} is speaking.")
+            role_input_values = self._get_role_input_values(current_role)
+            # TODO: Hide flow-invoker and executor log for execution
+            result = current_role.invoke(**role_input_values)
+            logger.info(f"[Round {chat_round}] Chat role {current_role.role!r} result: {result!r}.")
+
+            # post process after role's invocation
+            self._update_information_with_result(current_role, result)
+            # TODO: Get used token from result and update chat_token
+
+            # check if the chat group should continue
+            continue_chat = self._check_continue_condition(chat_round, chat_token, chat_start_time)
+            if not continue_chat:
+                logger.info(
+                    f"Chat group stops at round {chat_round!r}, token cost {chat_token!r}, "
+                    f"time cost {round(time.time() - chat_start_time, 2)} seconds."
+                )
+                break
+
+    def _select_role(self) -> ChatRole:
+        """Select next role"""
+        if self._speak_order == ChatGroupSpeakOrder.LLM:
+            return self._predict_next_role_with_llm()
+        next_role_name = next(self._speak_order_list)
+        return self._roles_dict[next_role_name]
+
+    def _get_role_input_values(self, role: ChatRole) -> Dict[str, Any]:
+        """Get role input values"""
+        input_values = {}
+        for key in role.inputs:
+            role_input = role.inputs[key]
+            value = role_input.get("value", None)
+            # only conversation history binding needs to be processed here, other values are specified when
+            # initializing the chat role.
+            if value == "${parent.conversation_history}":
+                value = self._conversation_history
+            elif isinstance(value, str) and value.startswith("${"):
+                raise ChatGroupError(f"Unresolved input value {value!r} for role {role.role!r}.")
+            input_values[key] = value
+        logger.debug(f"Input values for role {role.role!r}: {input_values!r}")
+        return input_values
+
+    def _update_information_with_result(self, role: ChatRole, result: dict) -> None:
+        """Update information with result"""
+        logger.debug(f"Updating chat group information with result from role {role.role!r}: {result!r}.")
+
+        # 1. update group chat history
+        self._update_conversation_history(role, result)
+
+        # 2. Update the role output value
+        for key, value in result.items():
+            if key in role.outputs:
+                role.outputs[key]["value"] = value
+
+    def _update_conversation_history(self, role: ChatRole, result: dict) -> None:
+        """Update conversation history"""
+        self._conversation_history.append((role.role, result))
+
+    def _check_continue_condition(self, chat_round: int, chat_token: int, chat_start_time: float) -> bool:
+        continue_chat = True
+        time_cost = time.time() - chat_start_time
+
+        # 1. check if the chat round reaches the maximum
+        if self._max_turns is not None and chat_round >= self._max_turns:
+            logger.warn(f"Chat round {chat_round!r} reaches the maximum {self._max_turns!r}.")
+            continue_chat = False
+
+        # 2. check if the chat token reaches the maximum
+        if self._max_tokens is not None and chat_token >= self._max_tokens:
+            logger.warn(f"Chat token {chat_token!r} reaches the maximum {self._max_tokens!r}.")
+            continue_chat = False
+
+        # 3. check if the chat time reaches the maximum
+        if self._max_time is not None and time_cost >= self._max_time:
+            logger.warn(f"Chat time reaches the maximum {self._max_time!r} seconds.")
+            continue_chat = False
+
+        # TODO: How to apply stop signal since a role can have multiple outputs?
+        if continue_chat:
+            logger.info(
+                f"Chat group continues at round {chat_round!r}, "
+                f"token cost {chat_token!r}, time cost {round(time_cost, 2)!r} seconds."
+            )
+        return continue_chat
+
+    def _predict_next_role_with_llm(self) -> ChatRole:
+        """Predict next role for non-deterministic speak order."""
+        raise NotImplementedError(f"Speak order {self._speak_order} is not supported yet.")
+
+    @classmethod
+    def _from_node(cls, node: "ChatGroupNode", context: "ExperimentTemplateTestContext"):
+        """Create a chat group from a chat group node."""
+        logger.debug(f"Creating chat group instance from chat group node {node.name!r}...")
+        roles = [ChatRole(flow=role.pop("path"), **role) for role in node.roles]
+        chat_group = cls(
+            roles=roles,
+            max_turns=node.max_turns,
+            max_tokens=node.max_tokens,
+            max_time=node.max_time,
+            stop_signal=node.stop_signal,
+        )
+        logger.debug(f"Updating role inputs for chat group {node.name!r}.")
+        chat_group._update_role_inputs(context)
+        return chat_group
+
+    def _update_role_inputs(self, context: "ExperimentTemplateTestContext"):
+        """Update role inputs with context."""
+        for role in self._roles:
+            role._update_inputs_from_data_and_inputs(data=context.test_data, inputs=context.test_inputs)
diff --git a/src/promptflow-devkit/promptflow/_sdk/entities/_chat_group/_chat_group_io.py b/src/promptflow-devkit/promptflow/_sdk/entities/_chat_group/_chat_group_io.py
new file mode 100644
index 00000000000..91c96ca333f
--- /dev/null
+++ b/src/promptflow-devkit/promptflow/_sdk/entities/_chat_group/_chat_group_io.py
@@ -0,0 +1,37 @@
+# ---------------------------------------------------------
+# Copyright (c) Microsoft Corporation. All rights reserved.
+# ---------------------------------------------------------
+from collections import UserDict
+from typing import Any
+
+from promptflow._sdk._errors import UnexpectedAttributeError
+
+
+class AttrDict(UserDict):
+    def __init__(self, inputs: dict, **kwargs: Any):
+        super().__init__(**inputs, **kwargs)
+
+    def __getattr__(self, item: Any):
+        return self.__getitem__(item)
+
+    def __getitem__(self, item: Any):
+        if item not in self:
+            raise UnexpectedAttributeError(f"Invalid attribute {item!r}, expected one of {list(self.keys())}.")
+        res = super().__getitem__(item)
+        return res
+
+
+class ChatRoleInputs(AttrDict):
+    """Chat role inputs"""
+
+
+class ChatRoleOutputs(AttrDict):
+    """Chat role outputs"""
+
+
+class ChatGroupInputs(AttrDict):
+    """Chat group inputs"""
+
+
+class ChatGroupOutputs(AttrDict):
+    """Chat group outputs"""
diff --git a/src/promptflow-devkit/promptflow/_sdk/entities/_chat_group/_chat_role.py b/src/promptflow-devkit/promptflow/_sdk/entities/_chat_group/_chat_role.py
new file mode 100644
index 00000000000..34d272a8b05
--- /dev/null
+++ b/src/promptflow-devkit/promptflow/_sdk/entities/_chat_group/_chat_role.py
@@ -0,0 +1,121 @@
+# ---------------------------------------------------------
+# Copyright (c) Microsoft Corporation. All rights reserved.
+# ---------------------------------------------------------
+from os import PathLike
+from pathlib import Path
+from typing import Dict, Optional, Union
+
+from promptflow._sdk._constants import DAG_FILE_NAME
+from promptflow._sdk._errors import ChatRoleError
+from promptflow._sdk._load_functions import load_flow
+from promptflow._sdk.entities._chat_group._chat_group_io import ChatRoleInputs, ChatRoleOutputs
+from promptflow._utils.logger_utils import get_cli_sdk_logger
+from promptflow._utils.yaml_utils import load_yaml
+
+logger = get_cli_sdk_logger()
+
+
+class ChatRole:
+    """Chat role entity, used in a chat group to participate in a multi-turn conversation.
+
+    :param flow: Path to the flow file.
+    :type flow: Union[str, PathLike]
+    :param role: Role of the chat role. e.g. assistant, user, etc.
+    :type role: str
+    :param name: Name of the chat role. If not provided, it will be the flow folder name.
+    :type name: Optional[str]
+    :param inputs: Inputs value for the chat role.
+    :type inputs: Optional[Dict]
+    """
+
+    def __init__(self, flow: Union[str, PathLike], role: str, inputs: Optional[Dict] = None, **kwargs):
+        self._role = role
+        self._flow, self._flow_object = self._validate_flow(flow)
+        self._inputs, self._outputs = self._build_role_io(flow, inputs)
+        logger.info(f"Created chat role {self.role!r} with flow {self._flow.as_posix()!r}")
+
+    @property
+    def role(self):
+        """Role of the chat role"""
+        return self._role
+
+    @property
+    def inputs(self):
+        """Inputs of the chat role"""
+        return self._inputs
+
+    @property
+    def outputs(self):
+        """Outputs of the chat role"""
+        return self._outputs
+
+    def _validate_flow(self, flow: Union[str, PathLike]):
+        """Validate flow"""
+        logger.debug(f"Validating chat role flow source {flow!r}")
+        flow_path = Path(flow).resolve()
+        try:
+            flow_object = load_flow(flow_path)
+        except Exception as e:
+            raise ChatRoleError(f"Failed to create chat role {self.role!r} due to: {str(e)}.") from e
+        return flow_path, flow_object
+
+    def _build_role_io(self, flow: Union[str, PathLike], inputs_value: Dict = None):
+        """Build role io"""
+        logger.debug(f"Building io for chat role {self.role!r}.")
+        flow_dict = load_yaml(Path(flow) / DAG_FILE_NAME)
+        inputs = flow_dict.get("inputs", {})
+        for key in inputs:
+            # fill the inputs with the provided values
+            # TODO: Shall we check the value type here or leave it to executor?
+            inputs[key]["value"] = inputs_value.get(key, None)
+            # current reference is an in-flow reference, not needed here
+            inputs[key].pop("reference", None)
+        outputs = flow_dict.get("outputs", {})
+        for key in outputs:
+            # current reference is an in-flow reference, not needed here
+            outputs[key].pop("reference", None)
+
+        # check for ignored inputs
+        ignored_keys = set(inputs_value.keys()) - set(inputs.keys())
+        if ignored_keys:
+            logger.warning(
+                f"Ignoring inputs {ignored_keys!r} for chat role {self.role!r}, "
+                f"expected one of {list(inputs.keys())!r}."
+            )
+
+        # check for missing inputs
+        missing_keys = []
+        for key in inputs:
+            if inputs[key].get("value") is None and inputs[key].get("default") is None:
+                missing_keys.append(key)
+        if missing_keys:
+            logger.warning(
+                f"Missing inputs {missing_keys!r} for chat role {self.role!r}. These inputs does not have provided "
+                f"value or default value."
+            )
+        return ChatRoleInputs(inputs), ChatRoleOutputs(outputs)
+
+    def _update_inputs_from_data_and_inputs(self, data: Dict, inputs: Dict):
+        """Update inputs from data and inputs from experiment"""
+        data_prefix = "${data."
+        inputs_prefix = "${inputs."
+        for key in self._inputs:
+            current_input = self._inputs[key]
+            value = current_input["value"]
+            if isinstance(value, str):
+                if value.startswith(data_prefix):
+                    stripped_value = value.replace(data_prefix, "").replace("}", "")
+                    data_name, col_name = stripped_value.split(".")
+                    if data_name in data and col_name in data[data_name]:
+                        current_input["value"] = data[data_name][col_name]
+                elif value.startswith(inputs_prefix):
+                    input_name = value.replace(inputs_prefix, "").replace("}", "")
+                    if input_name in inputs and input_name in inputs:
+                        current_input["value"] = inputs[input_name]
+
+    def invoke(self, *args, **kwargs):
+        """Invoke chat role"""
+        if args:
+            raise ChatRoleError(f"Chat role invoke does not accept positional arguments, got {args!r} instead.")
+        result = self._flow_object(**kwargs) or {}
+        return result
diff --git a/src/promptflow-devkit/promptflow/_sdk/entities/_connection.py b/src/promptflow-devkit/promptflow/_sdk/entities/_connection.py
new file mode 100644
index 00000000000..1c07966b543
--- /dev/null
+++ b/src/promptflow-devkit/promptflow/_sdk/entities/_connection.py
@@ -0,0 +1,539 @@
+# ---------------------------------------------------------
+# Copyright (c) Microsoft Corporation. All rights reserved.
+# ---------------------------------------------------------
+import abc
+import importlib
+import json
+from os import PathLike
+from pathlib import Path
+from typing import Dict, Union
+
+from marshmallow import INCLUDE
+
+from promptflow._constants import ConnectionType, CustomStrongTypeConnectionConfigs
+from promptflow._sdk._constants import (
+    BASE_PATH_CONTEXT_KEY,
+    PARAMS_OVERRIDE_KEY,
+    SCHEMA_KEYS_CONTEXT_CONFIG_KEY,
+    SCHEMA_KEYS_CONTEXT_SECRET_KEY,
+    SCRUBBED_VALUE,
+    SCRUBBED_VALUE_USER_INPUT,
+    ConfigValueType,
+)
+from promptflow._sdk._errors import SDKError, UnsecureConnectionError
+from promptflow._sdk._orm.connection import Connection as ORMConnection
+from promptflow._sdk._utils import (
+    decrypt_secret_value,
+    encrypt_secret_value,
+    find_type_in_override,
+    print_yellow_warning,
+)
+from promptflow._sdk.entities._yaml_translatable import YAMLTranslatableMixin
+from promptflow._sdk.schemas._connection import (
+    AzureContentSafetyConnectionSchema,
+    AzureOpenAIConnectionSchema,
+    CognitiveSearchConnectionSchema,
+    CustomConnectionSchema,
+    CustomStrongTypeConnectionSchema,
+    FormRecognizerConnectionSchema,
+    OpenAIConnectionSchema,
+    QdrantConnectionSchema,
+    SerpConnectionSchema,
+    ServerlessConnectionSchema,
+    WeaviateConnectionSchema,
+)
+from promptflow._utils.logger_utils import LoggerFactory
+from promptflow._utils.utils import snake_to_camel
+from promptflow.contracts.types import Secret
+from promptflow.core._connection import AzureContentSafetyConnection as _CoreAzureContentSafetyConnection
+from promptflow.core._connection import AzureOpenAIConnection as _CoreAzureOpenAIConnection
+from promptflow.core._connection import CognitiveSearchConnection as _CoreCognitiveSearchConnection
+from promptflow.core._connection import CustomConnection as _CoreCustomConnection
+from promptflow.core._connection import CustomStrongTypeConnection as _CoreCustomStrongTypeConnection
+from promptflow.core._connection import FormRecognizerConnection as _CoreFormRecognizerConnection
+from promptflow.core._connection import OpenAIConnection as _CoreOpenAIConnection
+from promptflow.core._connection import QdrantConnection as _CoreQdrantConnection
+from promptflow.core._connection import SerpConnection as _CoreSerpConnection
+from promptflow.core._connection import ServerlessConnection as _CoreServerlessConnection
+from promptflow.core._connection import WeaviateConnection as _CoreWeaviateConnection
+from promptflow.core._connection import _Connection as _CoreConnection
+from promptflow.core._connection import _StrongTypeConnection as _CoreStrongTypeConnection
+from promptflow.exceptions import UserErrorException, ValidationException
+
+logger = LoggerFactory.get_logger(name=__name__)
+PROMPTFLOW_CONNECTIONS = "promptflow.connections"
+
+
+class _Connection(_CoreConnection, YAMLTranslatableMixin):
+    SUPPORTED_TYPES = {}
+
+    @classmethod
+    def _casting_type(cls, typ):
+        type_dict = {
+            "azure_open_ai": ConnectionType.AZURE_OPEN_AI.value,
+            "open_ai": ConnectionType.OPEN_AI.value,
+        }
+
+        if typ in type_dict:
+            return type_dict.get(typ)
+        return snake_to_camel(typ)
+
+    @classmethod
+    def _is_user_input_value(cls, value):
+        """The value will prompt user to input in cli for both create and update."""
+        return value == SCRUBBED_VALUE_USER_INPUT
+
+    def _validate_and_encrypt_secrets(self):
+        encrypt_secrets = {}
+        invalid_secrets = []
+        for k, v in self.secrets.items():
+            # In sdk experience, if v is not scrubbed, use it.
+            # If v is scrubbed, try to use the value in _secrets.
+            # If v is <user-input>, raise error.
+            if self._is_scrubbed_value(v):
+                # Try to get the value not scrubbed.
+                v = self._secrets.get(k)
+            if self._is_scrubbed_value(v) or self._is_user_input_value(v):
+                # Can't find the original value or is <user-input>, raise error.
+                invalid_secrets.append(k)
+                continue
+            encrypt_secrets[k] = encrypt_secret_value(v)
+        if invalid_secrets:
+            raise ValidationException(
+                f"Connection {self.name!r} secrets {invalid_secrets} value invalid, please fill them."
+            )
+        return encrypt_secrets
+
+    @classmethod
+    def _load_from_dict(cls, data: Dict, context: Dict, additional_message: str = None, **kwargs):
+        schema_cls = cls._get_schema_cls()
+        try:
+            loaded_data = schema_cls(context=context).load(data, **kwargs)
+        except Exception as e:
+            raise SDKError(f"Load connection failed with {str(e)}. f{(additional_message or '')}.")
+        return cls(base_path=context[BASE_PATH_CONTEXT_KEY], **loaded_data)
+
+    def _to_dict(self) -> Dict:
+        schema_cls = self._get_schema_cls()
+        return schema_cls(context={BASE_PATH_CONTEXT_KEY: "./"}).dump(self)
+
+    @classmethod
+    # pylint: disable=unused-argument
+    def _resolve_cls_and_type(cls, data, params_override=None):
+        type_in_override = find_type_in_override(params_override)
+        type_str = type_in_override or data.get("type")
+        if type_str is None:
+            raise ValidationException("type is required for connection.")
+        type_str = cls._casting_type(type_str)
+        type_cls = cls.SUPPORTED_TYPES.get(type_str)
+        if type_cls is None:
+            raise ValidationException(
+                f"Connection type {type_str!r} is not supported. "
+                f"Supported types are: {list(cls.SUPPORTED_TYPES.keys())}"
+            )
+        return type_cls, type_str
+
+    @abc.abstractmethod
+    def _to_orm_object(self) -> ORMConnection:
+        pass
+
+    @classmethod
+    def _from_mt_rest_object(cls, mt_rest_obj) -> "_Connection":
+        type_cls, _ = cls._resolve_cls_and_type(data={"type": mt_rest_obj.connection_type})
+        obj = type_cls._from_mt_rest_object(mt_rest_obj)
+        return obj
+
+    @classmethod
+    def _from_orm_object_with_secrets(cls, orm_object: ORMConnection):
+        # !!! Attention !!!: Do not use this function to user facing api, use _from_orm_object to remove secrets.
+        type_cls, _ = cls._resolve_cls_and_type(data={"type": orm_object.connectionType})
+        obj = type_cls._from_orm_object_with_secrets(orm_object)
+        return obj
+
+    @classmethod
+    def _from_orm_object(cls, orm_object: ORMConnection):
+        """This function will create a connection object then scrub secrets."""
+        type_cls, _ = cls._resolve_cls_and_type(data={"type": orm_object.connectionType})
+        obj = type_cls._from_orm_object_with_secrets(orm_object)
+        # Note: we may can't get secret keys for custom connection from MT
+        obj.secrets = {k: SCRUBBED_VALUE for k in obj.secrets}
+        return obj
+
+    @classmethod
+    def _load(
+        cls,
+        data: Dict = None,
+        yaml_path: Union[PathLike, str] = None,
+        params_override: list = None,
+        **kwargs,
+    ) -> "_Connection":
+        """Load a connection object from a yaml file.
+
+        :param cls: Indicates that this is a class method.
+        :type cls: class
+        :param data: Data Dictionary, defaults to None
+        :type data: Dict, optional
+        :param yaml_path: YAML Path, defaults to None
+        :type yaml_path: Union[PathLike, str], optional
+        :param params_override: Fields to overwrite on top of the yaml file.
+            Format is [{"field1": "value1"}, {"field2": "value2"}], defaults to None
+        :type params_override: List[Dict], optional
+        :param kwargs: A dictionary of additional configuration parameters.
+        :type kwargs: dict
+        :raises Exception: An exception
+        :return: Loaded a connection object.
+        :rtype: ~promptflow._sdk.entities._connection._Connection
+        """
+        data = data or {}
+        params_override = params_override or []
+        context = {
+            BASE_PATH_CONTEXT_KEY: Path(yaml_path).parent if yaml_path else Path("../../azure/_entities/"),
+            PARAMS_OVERRIDE_KEY: params_override,
+        }
+        connection_type, type_str = cls._resolve_cls_and_type(data, params_override)
+        connection = connection_type._load_from_dict(
+            data=data,
+            context=context,
+            unknown=INCLUDE,
+            additional_message=f"If you are trying to configure a job that is not of type {type_str}, please specify "
+            f"the correct connection type in the 'type' property.",
+            **kwargs,
+        )
+        return connection
+
+
+class _StrongTypeConnection(_CoreStrongTypeConnection, _Connection):
+    def _to_orm_object(self):
+        # Both keys & secrets will be stored in configs for strong type connection.
+        secrets = self._validate_and_encrypt_secrets()
+        return ORMConnection(
+            connectionName=self.name,
+            connectionType=self.type,
+            configs=json.dumps({**self.configs, **secrets}),
+            customConfigs="{}",
+            expiryTime=self.expiry_time,
+            createdDate=self.created_date,
+            lastModifiedDate=self.last_modified_date,
+        )
+
+    @classmethod
+    def _from_orm_object_with_secrets(cls, orm_object: ORMConnection):
+        # !!! Attention !!!: Do not use this function to user facing api, use _from_orm_object to remove secrets.
+        # Both keys & secrets will be stored in configs for strong type connection.
+        type_cls, _ = cls._resolve_cls_and_type(data={"type": orm_object.connectionType})
+        obj = type_cls(
+            name=orm_object.connectionName,
+            expiry_time=orm_object.expiryTime,
+            created_date=orm_object.createdDate,
+            last_modified_date=orm_object.lastModifiedDate,
+            **json.loads(orm_object.configs),
+        )
+        obj.secrets = {k: decrypt_secret_value(obj.name, v) for k, v in obj.secrets.items()}
+        obj._secrets = {**obj.secrets}
+        return obj
+
+    @classmethod
+    def _from_mt_rest_object(cls, mt_rest_obj):
+        type_cls, _ = cls._resolve_cls_and_type(data={"type": mt_rest_obj.connection_type})
+        configs = mt_rest_obj.configs or {}
+        # For not ARM strong type connection, e.g. OpenAI, api_key will not be returned, but is required argument.
+        # For ARM strong type connection, api_key will be None and missing when conn._to_dict(), so set a scrubbed one.
+        configs.update({"api_key": SCRUBBED_VALUE})
+        obj = type_cls(
+            name=mt_rest_obj.connection_name,
+            expiry_time=mt_rest_obj.expiry_time,
+            created_date=mt_rest_obj.created_date,
+            last_modified_date=mt_rest_obj.last_modified_date,
+            **configs,
+        )
+        return obj
+
+
+class AzureOpenAIConnection(_CoreAzureOpenAIConnection, _StrongTypeConnection):
+    __doc__ = _CoreAzureOpenAIConnection.__doc__
+    DATA_CLASS = _CoreAzureOpenAIConnection
+
+    @classmethod
+    def _get_schema_cls(cls):
+        return AzureOpenAIConnectionSchema
+
+
+class OpenAIConnection(_CoreOpenAIConnection, _StrongTypeConnection):
+    __doc__ = _CoreOpenAIConnection.__doc__
+    DATA_CLASS = _CoreOpenAIConnection
+
+    @classmethod
+    def _get_schema_cls(cls):
+        return OpenAIConnectionSchema
+
+
+class ServerlessConnection(_CoreServerlessConnection, _StrongTypeConnection):
+    __doc__ = _CoreServerlessConnection.__doc__
+    DATA_CLASS = _CoreServerlessConnection
+
+    @classmethod
+    def _get_schema_cls(cls):
+        return ServerlessConnectionSchema
+
+
+class SerpConnection(_CoreSerpConnection, _StrongTypeConnection):
+    __doc__ = _CoreSerpConnection.__doc__
+    DATA_CLASS = _CoreSerpConnection
+
+    @classmethod
+    def _get_schema_cls(cls):
+        return SerpConnectionSchema
+
+
+class QdrantConnection(_CoreQdrantConnection, _StrongTypeConnection):
+    __doc__ = _CoreQdrantConnection.__doc__
+    DATA_CLASS = _CoreQdrantConnection
+
+    @classmethod
+    def _get_schema_cls(cls):
+        return QdrantConnectionSchema
+
+
+class WeaviateConnection(_CoreWeaviateConnection, _StrongTypeConnection):
+    __doc__ = _CoreWeaviateConnection.__doc__
+    DATA_CLASS = _CoreWeaviateConnection
+
+    @classmethod
+    def _get_schema_cls(cls):
+        return WeaviateConnectionSchema
+
+
+class CognitiveSearchConnection(_CoreCognitiveSearchConnection, _StrongTypeConnection):
+    __doc__ = _CoreCognitiveSearchConnection.__doc__
+    DATA_CLASS = _CoreCognitiveSearchConnection
+
+    @classmethod
+    def _get_schema_cls(cls):
+        return CognitiveSearchConnectionSchema
+
+
+class AzureContentSafetyConnection(_CoreAzureContentSafetyConnection, _StrongTypeConnection):
+    __doc__ = _CoreAzureContentSafetyConnection.__doc__
+    DATA_CLASS = _CoreAzureContentSafetyConnection
+
+    @classmethod
+    def _get_schema_cls(cls):
+        return AzureContentSafetyConnectionSchema
+
+
+class FormRecognizerConnection(_CoreFormRecognizerConnection, AzureContentSafetyConnection):
+    __doc__ = _CoreFormRecognizerConnection.__doc__
+    DATA_CLASS = _CoreFormRecognizerConnection
+
+    @classmethod
+    def _get_schema_cls(cls):
+        return FormRecognizerConnectionSchema
+
+
+class CustomStrongTypeConnection(_CoreCustomStrongTypeConnection, _Connection):
+    __doc__ = _CoreCustomStrongTypeConnection.__doc__
+    DATA_CLASS = _CoreCustomStrongTypeConnection
+
+    def _to_orm_object(self) -> ORMConnection:
+        custom_connection = self._convert_to_custom()
+        return custom_connection._to_orm_object()
+
+    def _convert_to_custom(self):
+        # update configs
+        self.configs.update({CustomStrongTypeConnectionConfigs.PROMPTFLOW_TYPE_KEY: self.custom_type})
+        self.configs.update({CustomStrongTypeConnectionConfigs.PROMPTFLOW_MODULE_KEY: self.module})
+        if self.package and self.package_version:
+            self.configs.update({CustomStrongTypeConnectionConfigs.PROMPTFLOW_PACKAGE_KEY: self.package})
+            self.configs.update(
+                {CustomStrongTypeConnectionConfigs.PROMPTFLOW_PACKAGE_VERSION_KEY: self.package_version}
+            )
+
+        custom_connection = CustomConnection(configs=self.configs, secrets=self.secrets, **self.kwargs)
+        return custom_connection
+
+    @classmethod
+    def _get_custom_keys(cls, data: Dict):
+        # The data could be either from yaml or from DB.
+        # If from yaml, 'custom_type' and 'module' are outside the configs of data.
+        # If from DB, 'custom_type' and 'module' are within the configs of data.
+        if not data.get(CustomStrongTypeConnectionConfigs.TYPE) or not data.get(
+            CustomStrongTypeConnectionConfigs.MODULE
+        ):
+            if (
+                not data["configs"][CustomStrongTypeConnectionConfigs.PROMPTFLOW_TYPE_KEY]
+                or not data["configs"][CustomStrongTypeConnectionConfigs.PROMPTFLOW_MODULE_KEY]
+            ):
+                error = ValueError("custom_type and module are required for custom strong type connections.")
+                raise UserErrorException(message=str(error), error=error)
+            else:
+                m = data["configs"][CustomStrongTypeConnectionConfigs.PROMPTFLOW_MODULE_KEY]
+                custom_cls = data["configs"][CustomStrongTypeConnectionConfigs.PROMPTFLOW_TYPE_KEY]
+        else:
+            m = data[CustomStrongTypeConnectionConfigs.MODULE]
+            custom_cls = data[CustomStrongTypeConnectionConfigs.TYPE]
+
+        try:
+            module = importlib.import_module(m)
+            cls = getattr(module, custom_cls)
+        except ImportError:
+            error = ValueError(
+                f"Can't find module {m} in current environment. Please check the module is correctly configured."
+            )
+            raise UserErrorException(message=str(error), error=error)
+        except AttributeError:
+            error = ValueError(
+                f"Can't find class {custom_cls} in module {m}. "
+                f"Please check the custom_type is correctly configured."
+            )
+            raise UserErrorException(message=str(error), error=error)
+
+        schema_configs = {}
+        schema_secrets = {}
+
+        for k, v in cls.__annotations__.items():
+            if v == Secret:
+                schema_secrets[k] = v
+            else:
+                schema_configs[k] = v
+
+        return schema_configs, schema_secrets
+
+    @classmethod
+    def _get_schema_cls(cls):
+        return CustomStrongTypeConnectionSchema
+
+    @classmethod
+    def _load_from_dict(cls, data: Dict, context: Dict, additional_message: str = None, **kwargs):
+        schema_config_keys, schema_secret_keys = cls._get_custom_keys(data)
+        context[SCHEMA_KEYS_CONTEXT_CONFIG_KEY] = schema_config_keys
+        context[SCHEMA_KEYS_CONTEXT_SECRET_KEY] = schema_secret_keys
+
+        return (super()._load_from_dict(data, context, additional_message, **kwargs))._convert_to_custom()
+
+
+class CustomConnection(_CoreCustomConnection, _Connection):
+    __doc__ = _CoreCustomConnection.__doc__
+    DATA_CLASS = _CoreCustomConnection
+
+    @classmethod
+    def _get_schema_cls(cls):
+        return CustomConnectionSchema
+
+    @classmethod
+    def _load_from_dict(cls, data: Dict, context: Dict, additional_message: str = None, **kwargs):
+        # If context has params_override, it means the data would be updated by overridden values.
+        # Provide CustomStrongTypeConnectionSchema if 'custom_type' in params_override, else CustomConnectionSchema.
+        # For example:
+        #   If a user updates an existing connection by re-upserting a connection file,
+        #   the 'data' from DB is CustomConnection,
+        #   but 'params_override' would actually contain custom strong type connection data.
+        is_custom_strong_type = data.get(CustomStrongTypeConnectionConfigs.TYPE) or any(
+            CustomStrongTypeConnectionConfigs.TYPE in d for d in context.get(PARAMS_OVERRIDE_KEY, [])
+        )
+        if is_custom_strong_type:
+            return CustomStrongTypeConnection._load_from_dict(data, context, additional_message, **kwargs)
+
+        return super()._load_from_dict(data, context, additional_message, **kwargs)
+
+    def _to_orm_object(self):
+        # Both keys & secrets will be set in custom configs with value type specified for custom connection.
+        if not self.secrets:
+            error = ValueError(
+                "Secrets is required for custom connection, "
+                "please use CustomConnection(configs={key1: val1}, secrets={key2: val2}) "
+                "to initialize custom connection."
+            )
+            raise UserErrorException(message=str(error), error=error)
+        custom_configs = {
+            k: {"configValueType": ConfigValueType.STRING.value, "value": v} for k, v in self.configs.items()
+        }
+        encrypted_secrets = self._validate_and_encrypt_secrets()
+        custom_configs.update(
+            {k: {"configValueType": ConfigValueType.SECRET.value, "value": v} for k, v in encrypted_secrets.items()}
+        )
+
+        return ORMConnection(
+            connectionName=self.name,
+            connectionType=self.type,
+            configs="{}",
+            customConfigs=json.dumps(custom_configs),
+            expiryTime=self.expiry_time,
+            createdDate=self.created_date,
+            lastModifiedDate=self.last_modified_date,
+        )
+
+    @classmethod
+    def _from_orm_object_with_secrets(cls, orm_object: ORMConnection):
+        # !!! Attention !!!: Do not use this function to user facing api, use _from_orm_object to remove secrets.
+        # Both keys & secrets will be set in custom configs with value type specified for custom connection.
+        configs = {
+            k: v["value"]
+            for k, v in json.loads(orm_object.customConfigs).items()
+            if v["configValueType"] == ConfigValueType.STRING.value
+        }
+
+        secrets = {}
+        unsecure_connection = False
+        custom_type = None
+        for k, v in json.loads(orm_object.customConfigs).items():
+            if k == CustomStrongTypeConnectionConfigs.PROMPTFLOW_TYPE_KEY:
+                custom_type = v["value"]
+                continue
+            if not v["configValueType"] == ConfigValueType.SECRET.value:
+                continue
+            try:
+                secrets[k] = decrypt_secret_value(orm_object.connectionName, v["value"])
+            except UnsecureConnectionError:
+                # This is to workaround old custom secrets that are not encrypted with Fernet.
+                unsecure_connection = True
+                secrets[k] = v["value"]
+        if unsecure_connection:
+            print_yellow_warning(
+                f"Warning: Please delete and re-create connection {orm_object.connectionName} "
+                "due to a security issue in the old sdk version."
+            )
+
+        return cls(
+            name=orm_object.connectionName,
+            configs=configs,
+            secrets=secrets,
+            custom_type=custom_type,
+            expiry_time=orm_object.expiryTime,
+            created_date=orm_object.createdDate,
+            last_modified_date=orm_object.lastModifiedDate,
+        )
+
+    @classmethod
+    def _from_mt_rest_object(cls, mt_rest_obj):
+        type_cls, _ = cls._resolve_cls_and_type(data={"type": mt_rest_obj.connection_type})
+        if not mt_rest_obj.custom_configs:
+            mt_rest_obj.custom_configs = {}
+        configs = {
+            k: v.value
+            for k, v in mt_rest_obj.custom_configs.items()
+            if v.config_value_type == ConfigValueType.STRING.value
+        }
+
+        secrets = {
+            k: v.value
+            for k, v in mt_rest_obj.custom_configs.items()
+            if v.config_value_type == ConfigValueType.SECRET.value
+        }
+
+        return cls(
+            name=mt_rest_obj.connection_name,
+            configs=configs,
+            secrets=secrets,
+            expiry_time=mt_rest_obj.expiry_time,
+            created_date=mt_rest_obj.created_date,
+            last_modified_date=mt_rest_obj.last_modified_date,
+        )
+
+
+# Note: Do not import this from core connection.
+# As we need the class here.
+_Connection.SUPPORTED_TYPES = {
+    v.TYPE: v
+    for v in globals().values()
+    if isinstance(v, type) and issubclass(v, _Connection) and not v.__name__.startswith("_")
+}
diff --git a/src/promptflow/promptflow/_sdk/entities/_experiment.py b/src/promptflow-devkit/promptflow/_sdk/entities/_experiment.py
similarity index 89%
rename from src/promptflow/promptflow/_sdk/entities/_experiment.py
rename to src/promptflow-devkit/promptflow/_sdk/entities/_experiment.py
index a457d42123b..23454270914 100644
--- a/src/promptflow/promptflow/_sdk/entities/_experiment.py
+++ b/src/promptflow-devkit/promptflow/_sdk/entities/_experiment.py
@@ -27,6 +27,7 @@
 from promptflow._sdk.entities._validation import MutableValidationResult, SchemaValidatableMixin
 from promptflow._sdk.entities._yaml_translatable import YAMLTranslatableMixin
 from promptflow._sdk.schemas._experiment import (
+    ChatGroupSchema,
     CommandNodeSchema,
     ExperimentDataSchema,
     ExperimentInputSchema,
@@ -128,7 +129,7 @@ def _save_snapshot(self, target):
         """Save flow source to experiment snapshot."""
         # Resolve additional includes in flow
         from .._load_functions import load_flow
-        from .._submitter import remove_additional_includes
+        from .._orchestrator import remove_additional_includes
 
         Path(target).mkdir(parents=True, exist_ok=True)
         flow = load_flow(source=self.path)
@@ -188,6 +189,51 @@ def _save_snapshot(self, target):
         self.code = saved_path.resolve().absolute().as_posix()
 
 
+class ChatGroupNode(YAMLTranslatableMixin):
+    def __init__(
+        self,
+        name,
+        roles: List[Dict[str, Any]],
+        max_turns: Optional[int] = None,
+        max_tokens: Optional[int] = None,
+        max_time: Optional[int] = None,
+        stop_signal: Optional[str] = None,
+        code: Union[Path, str] = None,
+        **kwargs,
+    ):
+        self.type = ExperimentNodeType.CHAT_GROUP
+        self.name = name
+        self.roles = roles
+        self.max_turns = max_turns
+        self.max_tokens = max_tokens
+        self.max_time = max_time
+        self.stop_signal = stop_signal
+        self.code = code
+
+    @classmethod
+    def _get_schema_cls(cls):
+        return ChatGroupSchema
+
+    def _save_snapshot(self, target):
+        """Save chat group source to experiment snapshot."""
+        target = Path(target).resolve()
+        logger.debug(f"Saving chat group node {self.name!r} snapshot to {target.as_posix()!r}.")
+        saved_path = target / self.name
+        saved_path.mkdir(parents=True, exist_ok=True)
+
+        for role in self.roles:
+            role_path = Path(role["path"]).resolve()
+            if not role_path.exists():
+                raise ExperimentValueError(f"Chat role path {role_path.as_posix()!r} does not exist.")
+
+            if role_path.is_dir():
+                shutil.copytree(src=role_path, dst=saved_path / role["role"])
+            else:
+                shutil.copytree(src=role_path.parent, dst=saved_path / role["role"])
+
+        self.code = saved_path.resolve().as_posix()
+
+
 class ExperimentTemplate(YAMLTranslatableMixin, SchemaValidatableMixin):
     def __init__(self, nodes, description=None, data=None, inputs=None, **kwargs):
         self._base_path = kwargs.get(BASE_PATH_CONTEXT_KEY, Path("."))
@@ -366,6 +412,10 @@ def _from_orm_object(cls, obj: ORMExperiment) -> "Experiment":
                 nodes.append(
                     CommandNode._load_from_dict(node_dict, context=context, additional_message="Failed to load node.")
                 )
+            elif node_dict["type"] == ExperimentNodeType.CHAT_GROUP:
+                nodes.append(
+                    ChatGroupNode._load_from_dict(node_dict, context=context, additional_message="Failed to load node.")
+                )
             else:
                 raise Exception(f"Unknown node type {node_dict['type']}")
         data = [
diff --git a/src/promptflow-devkit/promptflow/_sdk/entities/_flow/__init__.py b/src/promptflow-devkit/promptflow/_sdk/entities/_flow/__init__.py
new file mode 100644
index 00000000000..34476c44a97
--- /dev/null
+++ b/src/promptflow-devkit/promptflow/_sdk/entities/_flow/__init__.py
@@ -0,0 +1,9 @@
+# ---------------------------------------------------------
+# Copyright (c) Microsoft Corporation. All rights reserved.
+# ---------------------------------------------------------
+
+from .base import FlowContext
+from .dag import Flow
+from .flex import FlexFlow
+
+__all__ = ["Flow", "FlexFlow", "FlowContext"]
diff --git a/src/promptflow/promptflow/_sdk/operations/_flow_context_resolver.py b/src/promptflow-devkit/promptflow/_sdk/entities/_flow/_flow_context_resolver.py
similarity index 90%
rename from src/promptflow/promptflow/_sdk/operations/_flow_context_resolver.py
rename to src/promptflow-devkit/promptflow/_sdk/entities/_flow/_flow_context_resolver.py
index 5e771374714..a676e5c7310 100644
--- a/src/promptflow/promptflow/_sdk/operations/_flow_context_resolver.py
+++ b/src/promptflow-devkit/promptflow/_sdk/entities/_flow/_flow_context_resolver.py
@@ -7,11 +7,11 @@
 from pathlib import Path
 from typing import Dict, Union
 
+from promptflow._sdk._configuration import Configuration
 from promptflow._sdk._constants import NODES
-from promptflow._sdk._utils import parse_variant
 from promptflow._sdk.entities import FlowContext
 from promptflow._sdk.entities._flow import Flow
-from promptflow._utils.flow_utils import load_flow_dag
+from promptflow._utils.flow_utils import load_flow_dag, parse_variant
 from promptflow._utils.yaml_utils import dump_yaml
 from promptflow.contracts.flow import Node
 from promptflow.exceptions import UserErrorException
@@ -27,7 +27,7 @@ class FlowContextResolver:
     """Flow context resolver."""
 
     def __init__(self, flow_path: PathLike):
-        from promptflow import PFClient
+        from promptflow._sdk._pf_client import PFClient
 
         self.flow_path, self.flow_dag = load_flow_dag(flow_path=Path(flow_path))
         self.working_dir = Path(self.flow_path).parent.resolve()
@@ -62,7 +62,7 @@ def _resolve(self, flow_context: FlowContext):
     def _resolve_variant(self, flow_context: FlowContext) -> "FlowContextResolver":
         """Resolve variant of the flow and store in-memory."""
         # TODO: put all varint string parser here
-        from promptflow._sdk._submitter import overwrite_variant
+        from promptflow._sdk._orchestrator import overwrite_variant
 
         if not flow_context.variant:
             tuning_node, variant = None, None
@@ -78,7 +78,7 @@ def _resolve_variant(self, flow_context: FlowContext) -> "FlowContextResolver":
 
     def _resolve_connections(self, flow_context: FlowContext) -> "FlowContextResolver":
         """Resolve connections of the flow and store in-memory."""
-        from promptflow._sdk._submitter import overwrite_connections
+        from promptflow._sdk._orchestrator import overwrite_connections
 
         overwrite_connections(
             flow_dag=self.flow_dag,
@@ -89,7 +89,7 @@ def _resolve_connections(self, flow_context: FlowContext) -> "FlowContextResolve
 
     def _resolve_overrides(self, flow_context: FlowContext) -> "FlowContextResolver":
         """Resolve overrides of the flow and store in-memory."""
-        from promptflow._sdk._submitter import overwrite_flow
+        from promptflow._sdk._orchestrator import overwrite_flow
 
         overwrite_flow(
             flow_dag=self.flow_dag,
@@ -114,7 +114,7 @@ def _resolve_connection_objs(self, flow_context: FlowContext):
     def _create_invoker(
         self, flow_context: FlowContext, is_async_call=False
     ) -> Union["FlowInvoker", "AsyncFlowInvoker"]:
-        from promptflow._sdk._serving.flow_invoker import AsyncFlowInvoker, FlowInvoker
+        from promptflow.core._serving.flow_invoker import AsyncFlowInvoker, FlowInvoker
 
         connections = self._resolve_connection_objs(flow_context=flow_context)
         # use updated flow dag to create new flow object for invoker
@@ -125,6 +125,7 @@ def _create_invoker(
             with open(flow_file, "w") as fp:
                 dump_yaml(self.flow_dag, fp)
             resolved_flow._path = flow_file.absolute().as_posix()
+
             if is_async_call:
                 return AsyncFlowInvoker(
                     flow=resolved_flow,
@@ -136,4 +137,5 @@ def _create_invoker(
                     flow=resolved_flow,
                     connections=connections,
                     streaming=flow_context.streaming,
+                    connection_provider=Configuration.get_instance().get_connection_provider(),
                 )
diff --git a/src/promptflow-devkit/promptflow/_sdk/entities/_flow/base.py b/src/promptflow-devkit/promptflow/_sdk/entities/_flow/base.py
new file mode 100644
index 00000000000..254ca898134
--- /dev/null
+++ b/src/promptflow-devkit/promptflow/_sdk/entities/_flow/base.py
@@ -0,0 +1,254 @@
+# ---------------------------------------------------------
+# Copyright (c) Microsoft Corporation. All rights reserved.
+# ---------------------------------------------------------
+import json
+from os import PathLike
+from pathlib import Path
+from typing import Union
+
+from promptflow._constants import DEFAULT_ENCODING
+from promptflow._sdk.entities._validation import SchemaValidatableMixin
+from promptflow._utils.flow_utils import is_flex_flow, resolve_flow_path
+from promptflow._utils.yaml_utils import load_yaml_string
+from promptflow.core._flow import AbstractFlowBase
+from promptflow.exceptions import UserErrorException
+
+
+class FlowContext:
+    """Flow context entity. the settings on this context will be applied to the flow when executing.
+
+    :param connections: Connections for the flow.
+    :type connections: Optional[Dict[str, Dict]]
+    :param variant: Variant of the flow.
+    :type variant: Optional[str]
+    :param variant: Overrides of the flow.
+    :type variant: Optional[Dict[str, Dict]]
+    :param streaming: Whether the flow's output need to be return in streaming mode.
+    :type streaming: Optional[bool]
+    """
+
+    def __init__(
+        self,
+        *,
+        connections=None,
+        variant=None,
+        overrides=None,
+        streaming=None,
+    ):
+        self.connections, self._connection_objs = connections or {}, {}
+        self.variant = variant
+        self.overrides = overrides or {}
+        self.streaming = streaming
+        # TODO: introduce connection provider support
+
+    def _resolve_connections(self):
+        # resolve connections and create placeholder for connection objects
+        for _, v in self.connections.items():
+            if isinstance(v, dict):
+                for k, conn in v.items():
+                    # TODO: avoid this import
+                    from promptflow.core._connection import _Connection
+
+                    if isinstance(conn, _Connection):  # Core COnnection
+                        name = self._get_connection_obj_name(conn)
+                        v[k] = name
+                        self._connection_objs[name] = conn
+
+    @classmethod
+    def _get_connection_obj_name(cls, connection):
+        # create a unique connection name for connection obj
+        # will generate same name if connection has same content
+        connection_dict = dict(connection)
+        connection_name = f"connection_{hash(json.dumps(connection_dict, sort_keys=True))}"
+        return connection_name
+
+    def _to_dict(self):
+        return {
+            "connections": self.connections,
+            "variant": self.variant,
+            "overrides": self.overrides,
+            "streaming": self.streaming,
+        }
+
+    def __eq__(self, other):
+        if isinstance(other, FlowContext):
+            return self._to_dict() == other._to_dict()
+        return False
+
+    def __hash__(self):
+        self._resolve_connections()
+        return hash(json.dumps(self._to_dict(), sort_keys=True))
+
+
+class FlowBase(AbstractFlowBase, SchemaValidatableMixin):
+    def __init__(self, *, data: dict, code: Path, path: Path, **kwargs):
+        self._context = FlowContext()
+        AbstractFlowBase.__init__(self, data=data, code=code, path=path, **kwargs)
+        # hash of flow's entry file, used to skip invoke if entry file is not changed
+        self._content_hash = kwargs.pop("content_hash", None)
+
+    @property
+    def context(self) -> FlowContext:
+        return self._context
+
+    @context.setter
+    def context(self, val):
+        if not isinstance(val, FlowContext):
+            raise UserErrorException("context must be a FlowContext object, got {type(val)} instead.")
+        self._context = val
+
+    @property
+    def code(self) -> Path:
+        """Working directory of the flow."""
+        return self._code
+
+    @property
+    def path(self) -> Path:
+        """Flow file path. Can be script file or flow definition YAML file."""
+        return self._path
+
+    @classmethod
+    # pylint: disable=unused-argument
+    def _resolve_cls_and_type(cls, data, params_override):
+        """Resolve the class to use for deserializing the data. Return current class if no override is provided.
+        :param data: Data to deserialize.
+        :type data: dict
+        :param params_override: Parameters to override, defaults to None
+        :type params_override: typing.Optional[list]
+        :return: Class to use for deserializing the data & its "type". Type will be None if no override is provided.
+        :rtype: tuple[class, typing.Optional[str]]
+        """
+        return cls, "flow"
+
+
+class Flow(FlowBase):
+    """A Flow in the context of PromptFlow is a sequence of steps that define a task.
+    Each step in the flow could be a prompt that is sent to a language model, or simply a function task,
+    and the output of one step can be used as the input to the next.
+    Flows can be used to build complex applications with language models.
+
+    Example:
+
+    .. code-block:: python
+
+        from promptflow.entities import Flow
+        flow = Flow.load(source="path/to/flow.dag.yaml")
+        result = flow(input_a=1, input_b=2)
+
+    """
+
+    def __init__(
+        self,
+        code: Union[str, PathLike],
+        path: Union[str, PathLike],
+        dag: dict,
+        **kwargs,
+    ):
+        self.variant = kwargs.pop("variant", None) or {}
+        super().__init__(data=dag, code=code, path=path, **kwargs)
+
+    @property
+    def environment_variables(self):
+        return self._data.get("environment_variables", {})
+
+    @classmethod
+    def _load(cls, path: Path, dag: dict, **kwargs):
+        return cls(code=path.parent, path=path, dag=dag, **kwargs)
+
+    @classmethod
+    def _dispatch_flow_creation(cls, is_eager_flow, flow_path, data, content_hash, raise_error=True, **kwargs):
+        """Dispatch flow load to non-dag flow or async flow."""
+        if is_eager_flow:
+            from .flex import FlexFlow
+
+            return FlexFlow._load(path=flow_path, data=data, raise_error=raise_error, **kwargs)
+        else:
+            from .dag import Flow
+
+            # TODO: schema validation and warning on unknown fields
+            return Flow._load(path=flow_path, dag=data, content_hash=content_hash, **kwargs)
+
+    @classmethod
+    def _load_prepare(cls, source: Union[str, PathLike]):
+        source_path = Path(source)
+        if not source_path.exists():
+            raise UserErrorException(f"Source {source_path.absolute().as_posix()} does not exist")
+
+        flow_dir, flow_filename = resolve_flow_path(source_path, new=True)
+        flow_path = flow_dir / flow_filename
+
+        if not flow_path.exists():
+            raise UserErrorException(f"Flow file {flow_path.absolute().as_posix()} does not exist")
+
+        if flow_path.suffix not in [".yaml", ".yml"]:
+            raise UserErrorException("Source must be a directory or a 'flow.dag.yaml' file")
+        return source_path, flow_path
+
+    @classmethod
+    def load(
+        cls,
+        source: Union[str, PathLike],
+        raise_error=True,
+        **kwargs,
+    ) -> "Flow":
+        """
+        Load flow from YAML file.
+
+        :param source: The local yaml source of a flow. Must be a path to a local file.
+            If the source is a path, it will be open and read.
+            An exception is raised if the file does not exist.
+        :type source: Union[PathLike, str]
+        :param raise_error: Argument for non-dag flow raise validation error on unknown fields.
+        :type raise_error: bool
+        :return: A Flow object
+        :rtype: Flow
+        """
+        _, flow_path = cls._load_prepare(source)
+        with open(flow_path, "r", encoding=DEFAULT_ENCODING) as f:
+            flow_content = f.read()
+            data = load_yaml_string(flow_content)
+            content_hash = hash(flow_content)
+        return cls._dispatch_flow_creation(
+            is_flex_flow(yaml_dict=data), flow_path, data, content_hash, raise_error=raise_error, **kwargs
+        )
+
+    def _init_executable(self):
+        from promptflow.contracts.flow import Flow as ExecutableFlow
+
+        # for DAG flow, use data to init executable to improve performance
+        return ExecutableFlow._from_dict(flow_dag=self._data, working_dir=self.code)
+
+    def __eq__(self, other):
+        if isinstance(other, Flow):
+            return self._content_hash == other._content_hash and self.context == other.context
+        return False
+
+    def __hash__(self):
+        return hash(self.context) ^ self._content_hash
+
+    def __call__(self, *args, **kwargs):
+        """Calling flow as a function, the inputs should be provided with key word arguments.
+        Returns the output of the flow.
+        The function call throws UserErrorException: if the flow is not valid or the inputs are not valid.
+        SystemErrorException: if the flow execution failed due to unexpected executor error.
+
+        :param args: positional arguments are not supported.
+        :param kwargs: flow inputs with key word arguments.
+        :return:
+        """
+
+        if args:
+            raise UserErrorException("Flow can only be called with keyword arguments.")
+
+        result = self.invoke(inputs=kwargs)
+        return result.output
+
+    def invoke(self, inputs: dict) -> "LineResult":
+        """Invoke a flow and get a LineResult object."""
+        from promptflow._sdk.entities._flow._flow_context_resolver import FlowContextResolver
+
+        invoker = FlowContextResolver.resolve(flow=self)
+        result = invoker._invoke(
+            data=inputs,
+        )
+        return result
diff --git a/src/promptflow-devkit/promptflow/_sdk/entities/_flow/dag.py b/src/promptflow-devkit/promptflow/_sdk/entities/_flow/dag.py
new file mode 100644
index 00000000000..0593e46e34e
--- /dev/null
+++ b/src/promptflow-devkit/promptflow/_sdk/entities/_flow/dag.py
@@ -0,0 +1,158 @@
+# ---------------------------------------------------------
+# Copyright (c) Microsoft Corporation. All rights reserved.
+# ---------------------------------------------------------
+from pathlib import Path
+from typing import Dict, Optional
+
+from marshmallow import Schema
+
+from promptflow._constants import FLOW_TOOLS_JSON, LANGUAGE_KEY, PROMPT_FLOW_DIR_NAME, FlowLanguage
+from promptflow._sdk._constants import BASE_PATH_CONTEXT_KEY
+from promptflow._utils.flow_utils import resolve_flow_path
+from promptflow._utils.logger_utils import get_cli_sdk_logger
+from promptflow._utils.yaml_utils import load_yaml
+from promptflow.exceptions import ErrorTarget, UserErrorException
+
+from .base import Flow as FlowBase
+
+logger = get_cli_sdk_logger()
+
+
+class Flow(FlowBase):
+    """A FlexFlow represents an non-dag flow, which uses codes to define the flow.
+    FlexFlow basically behave like a Flow, but its entry function should be provided in the flow.dag.yaml file.
+    Load of this non-dag flow is provided, but direct call of it will cause exceptions.
+    """
+
+    def __init__(
+        self,
+        path: Path,
+        code: Path,
+        dag: dict,
+        params_override: Optional[Dict] = None,
+        **kwargs,
+    ):
+        super().__init__(path=path, code=code, dag=dag, **kwargs)
+
+        # TODO: this can be dangerous. path always point to the flow yaml file; code always point to the flow directory;
+        #   but path may not under code (like a temp generated flow yaml file).
+        self._flow_dir, self._dag_file_name = resolve_flow_path(self.code)
+        self._executable = None
+        self._params_override = params_override
+
+    # region properties
+    @property
+    def name(self) -> str:
+        return self._flow_dir.name
+
+    @property
+    def flow_dag_path(self) -> Path:
+        return self._flow_dir / self._dag_file_name
+
+    @property
+    def tools_meta_path(self) -> Path:
+        target_path = self._flow_dir / PROMPT_FLOW_DIR_NAME / FLOW_TOOLS_JSON
+        target_path.parent.mkdir(parents=True, exist_ok=True)
+        return target_path
+
+    @property
+    def language(self) -> str:
+        return self._data.get(LANGUAGE_KEY, FlowLanguage.Python)
+
+    @property
+    def additional_includes(self) -> list:
+        return self._data.get("additional_includes", [])
+
+    @property
+    def display_name(self) -> str:
+        return self._data.get("display_name", self._flow_dir.name)
+
+    # endregion
+
+    # region SchemaValidatableMixin
+    @classmethod
+    def _create_schema_for_validation(cls, context) -> "Schema":
+        # import here to avoid circular import
+        from promptflow._sdk.schemas._flow import FlowSchema
+
+        return FlowSchema(context=context)
+
+    def _default_context(self) -> dict:
+        return {BASE_PATH_CONTEXT_KEY: self._flow_dir}
+
+    def _create_validation_error(self, message, no_personal_data_message=None):
+        return UserErrorException(
+            message=message,
+            target=ErrorTarget.CONTROL_PLANE_SDK,
+            no_personal_data_message=no_personal_data_message,
+        )
+
+    def _dump_for_validation(self) -> Dict:
+        # Flow is read-only in control plane, so we always dump the flow from file
+        data = load_yaml(self.flow_dag_path)
+        if isinstance(self._params_override, dict):
+            data.update(self._params_override)
+        return data
+
+    # endregion
+
+    # region MLFlow model requirements
+    @property
+    def inputs(self):
+        # This is used for build mlflow model signature.
+        if not self._executable:
+            self._executable = self._init_executable()
+        return {k: v.type.value for k, v in self._executable.inputs.items()}
+
+    @property
+    def outputs(self):
+        # This is used for build mlflow model signature.
+        if not self._executable:
+            self._executable = self._init_executable()
+        return {k: v.type.value for k, v in self._executable.outputs.items()}
+
+    # endregion
+
+    # region overrides:
+    def _init_executable(self, tuning_node=None, variant=None):
+        from promptflow._sdk._orchestrator import variant_overwrite_context
+        from promptflow.contracts.flow import Flow as ExecutableFlow
+
+        if not tuning_node and not variant:
+            # for DAG flow, use data to init executable to improve performance
+            return super()._init_executable()
+
+        # TODO: check if there is potential bug here
+        # this is a little wired:
+        # 1. the executable is created from a temp folder when there is additional includes
+        # 2. after the executable is returned, the temp folder is deleted
+        with variant_overwrite_context(self, tuning_node, variant) as flow:
+
+            return ExecutableFlow.from_yaml(flow_file=flow.path, working_dir=flow.code)
+
+    @classmethod
+    def _dispatch_flow_creation(cls, is_eager_flow, flow_path, data, content_hash, raise_error=True, **kwargs):
+        """Dispatch flow load to eager flow or async flow."""
+        from .flex import FlexFlow
+
+        if is_eager_flow:
+            return FlexFlow._load(path=flow_path, data=data, raise_error=raise_error, **kwargs)
+        else:
+            # TODO: schema validation and warning on unknown fields
+            return Flow._load(path=flow_path, dag=data, content_hash=content_hash, **kwargs)
+
+    def invoke(self, inputs: dict) -> "LineResult":
+        """Invoke a flow and get a LineResult object."""
+        from promptflow._sdk._orchestrator import TestSubmitter
+
+        if self.language == FlowLanguage.CSharp:
+            # TODO 3033484: we shouldn't use context manager here for stream_output, as resource need to be released
+            #  after the returned generator is fully consumed. If we use context manager here, the resource must be
+            #  released before the generator is consumed.
+            with TestSubmitter(flow=self, flow_context=self.context).init(
+                stream_output=self.context.streaming
+            ) as submitter:
+                result = submitter.flow_test(inputs=inputs, allow_generator_output=self.context.streaming)
+                return result
+        else:
+            return super().invoke(inputs=inputs)
diff --git a/src/promptflow/promptflow/_sdk/entities/_eager_flow.py b/src/promptflow-devkit/promptflow/_sdk/entities/_flow/flex.py
similarity index 71%
rename from src/promptflow/promptflow/_sdk/entities/_eager_flow.py
rename to src/promptflow-devkit/promptflow/_sdk/entities/_flow/flex.py
index 65c8a55a052..aae1451be7c 100644
--- a/src/promptflow/promptflow/_sdk/entities/_eager_flow.py
+++ b/src/promptflow-devkit/promptflow/_sdk/entities/_flow/flex.py
@@ -7,14 +7,18 @@
 
 from promptflow._constants import LANGUAGE_KEY, FlowLanguage
 from promptflow._sdk._constants import BASE_PATH_CONTEXT_KEY
-from promptflow._sdk._utils import generate_flow_meta
-from promptflow._sdk.entities._flow import FlowBase
-from promptflow._sdk.entities._validation import SchemaValidatableMixin
+from promptflow._utils.flow_utils import resolve_entry_file
 from promptflow.exceptions import ErrorTarget, UserErrorException
 
+from .dag import Flow
 
-class EagerFlow(FlowBase, SchemaValidatableMixin):
-    """This class is used to represent an eager flow."""
+
+class FlexFlow(Flow):
+    """A FlexFlow represents a flow defined with codes directly. It doesn't involve a directed acyclic graph (DAG)
+    explicitly, but its entry function haven't been provided.
+    FlexFlow basically behave like a Flow.
+    Load of this non-dag flow is provided, but direct call of it will cause exceptions.
+    """
 
     def __init__(
         self,
@@ -31,10 +35,11 @@ def __init__(
         # entry function name
         self.entry = entry
         # entry file name
-        self.entry_file = self._resolve_entry_file(entry=entry, working_dir=code)
-        # TODO(2910062): support eager flow execution cache
-        super().__init__(data=data, path=path, code=code, content_hash=None, **kwargs)
+        self.entry_file = resolve_entry_file(entry=entry, working_dir=code)
+        # TODO(2910062): support non-dag flow execution cache
+        super().__init__(code=code, path=path, dag=data, content_hash=None, **kwargs)
 
+    # region properties
     @property
     def language(self) -> str:
         return self._data.get(LANGUAGE_KEY, FlowLanguage.Python)
@@ -43,11 +48,16 @@ def language(self) -> str:
     def additional_includes(self) -> list:
         return self._data.get("additional_includes", [])
 
+    # endregion
+
+    # region overrides
     @classmethod
     def _load(cls, path: Path, data: dict, raise_error=True, **kwargs):
         # raise validation error on unknown fields
         if raise_error:
+            # Abstract here. The actual validation is done in subclass.
             data = cls._create_schema_for_validation(context={BASE_PATH_CONTEXT_KEY: path.parent}).load(data)
+
         entry = data.get("entry")
         code = path.parent
 
@@ -55,11 +65,13 @@ def _load(cls, path: Path, data: dict, raise_error=True, **kwargs):
             raise UserErrorException(f"Entry function is not specified for flow {path}")
         return cls(path=path, code=code, entry=entry, data=data, **kwargs)
 
+    # endregion overrides
+
     # region SchemaValidatableMixin
     @classmethod
     def _create_schema_for_validation(cls, context):
         # import here to avoid circular import
-        from ..schemas._flow import EagerFlowSchema
+        from promptflow._sdk.schemas._flow import EagerFlowSchema
 
         return EagerFlowSchema(context=context)
 
@@ -77,7 +89,7 @@ def _dump_for_validation(self) -> Dict:
         # Flow is read-only in control plane, so we always dump the flow from file
         return self._data
 
-    # endregion
+    # endregion SchemaValidatableMixin
 
     @classmethod
     def _resolve_entry_file(cls, entry: str, working_dir: Path) -> Optional[str]:
@@ -98,13 +110,20 @@ def _resolve_entry_file(cls, entry: str, working_dir: Path) -> Optional[str]:
         return None
 
     def _init_executable(self, **kwargs):
+        from promptflow._proxy import ProxyFactory
         from promptflow.contracts.flow import EagerFlow as ExecutableEagerFlow
 
-        # TODO(2991934): support environment variables here
-        meta_dict = generate_flow_meta(
-            flow_directory=self.code,
-            source_path=self.entry_file,
-            entry=self.entry,
-            dump=False,
+        meta_dict = (
+            ProxyFactory()
+            .get_executor_proxy_cls(self.language)
+            .generate_flow_json(
+                flow_file=self.path,
+                working_dir=self.code,
+                dump=False,
+            )
         )
         return ExecutableEagerFlow.deserialize(meta_dict)
+
+    def __call__(self, *args, **kwargs):
+        """Direct call of non-dag flow WILL cause exceptions."""
+        raise UserErrorException("FlexFlow can not be called as a function.")
diff --git a/src/promptflow/promptflow/_sdk/entities/_run.py b/src/promptflow-devkit/promptflow/_sdk/entities/_run.py
similarity index 96%
rename from src/promptflow/promptflow/_sdk/entities/_run.py
rename to src/promptflow-devkit/promptflow/_sdk/entities/_run.py
index 6aca4d32ae0..6ba4fa5d867 100644
--- a/src/promptflow/promptflow/_sdk/entities/_run.py
+++ b/src/promptflow-devkit/promptflow/_sdk/entities/_run.py
@@ -40,13 +40,13 @@
 from promptflow._sdk._orm import RunInfo as ORMRun
 from promptflow._sdk._utils import (
     _sanitize_python_variable_name,
+    is_multi_container_enabled,
     is_remote_uri,
     parse_remote_flow_pattern,
-    parse_variant,
 )
 from promptflow._sdk.entities._yaml_translatable import YAMLTranslatableMixin
 from promptflow._sdk.schemas._run import RunSchema
-from promptflow._utils.flow_utils import get_flow_lineage_id
+from promptflow._utils.flow_utils import get_flow_lineage_id, parse_variant
 from promptflow._utils.logger_utils import get_cli_sdk_logger
 from promptflow.exceptions import UserErrorException
 
@@ -69,7 +69,7 @@
 class Run(YAMLTranslatableMixin):
     """Flow run entity.
 
-    :param flow: Path of the flow directory.
+    :param flow: Path of local flow entry or remote flow.
     :type flow: Path
     :param name: Name of the run.
     :type name: str
@@ -101,6 +101,8 @@ class Run(YAMLTranslatableMixin):
     :type connections: Optional[Dict[str, Dict]]
     :param properties: Properties of the run.
     :type properties: Optional[Dict[str, Any]]
+    :param init: Class init arguments for callable class, only supported for flex flow.
+    :type init: Optional[Dict[str, Any]]
     :param kwargs: Additional keyword arguments.
     :type kwargs: Optional[dict]
     """
@@ -126,6 +128,7 @@ def __init__(
         connections: Optional[Dict[str, Dict]] = None,
         properties: Optional[Dict[str, Any]] = None,
         source: Optional[Union[Path, str]] = None,
+        init: Optional[Dict[str, Any]] = None,
         **kwargs,
     ):
         # !!! Caution !!!: Please update self._copy() if you add new fields to init
@@ -164,7 +167,7 @@ def __init__(
         self.name = name or self._generate_run_name()
         experiment_name = kwargs.get("experiment_name", None)
         if self._run_source == RunInfoSources.LOCAL and not self._use_remote_flow:
-            self.flow = Path(flow).resolve().absolute()
+            self.flow = Path(str(flow)).resolve().absolute()
             flow_dir = self._get_flow_dir()
             # sanitize flow_dir to avoid invalid experiment name
             self._experiment_name = _sanitize_python_variable_name(flow_dir.name)
@@ -187,6 +190,8 @@ def __init__(
         self._identity = kwargs.get("identity", {})
         self._outputs = kwargs.get("outputs", None)
         self._command = kwargs.get("command", None)
+        if init:
+            self._properties[FlowRunProperties.INIT_KWARGS] = init
 
     @property
     def created_on(self) -> str:
@@ -229,6 +234,10 @@ def properties(self) -> Dict[str, str]:
             **self._properties,
         }
 
+    @property
+    def init(self):
+        return self._properties.get(FlowRunProperties.INIT_KWARGS, None)
+
     @classmethod
     def _from_orm_object(cls, obj: ORMRun) -> "Run":
         properties_json = json.loads(str(obj.properties))
@@ -303,6 +312,7 @@ def _from_run_history_entity(cls, run_entity: dict) -> "Run":
         start_time = run_entity.get("startTimeUtc", None)
         end_time = run_entity.get("endTimeUtc", None)
         duration = run_entity.get("duration", None)
+        resume_from = run_entity["properties"].get("azureml.promptflow.resume_from_run_id", None)
         return Run(
             name=run_entity["runId"],
             flow=Path(f"azureml://flows/{flow_name}"),
@@ -319,6 +329,7 @@ def _from_run_history_entity(cls, run_entity: dict) -> "Run":
             is_archived=run_entity.get("archived", False),  # TODO: Get archived status, depends on run history team
             error=run_entity.get("error", None),
             run_source=RunInfoSources.RUN_HISTORY,
+            resume_from=resume_from,
             portal_url=run_entity[RunDataKeys.PORTAL_URL],
             creation_context=run_entity["createdBy"],
             data=run_entity[RunDataKeys.DATA],
@@ -589,6 +600,7 @@ def _to_rest_object(self):
             session_setup_mode=SessionSetupModeEnum.SYSTEM_WAIT,
             compute_name=compute_name,
             identity=identity_resource_id,
+            enable_multi_container=is_multi_container_enabled(),
         )
 
         if str(self.flow).startswith(REMOTE_URI_PREFIX):
@@ -642,7 +654,7 @@ def _validate_and_return_run_name(run: Union[str, "Run"]) -> str:
     def _validate_for_run_create_operation(self):
         """Validate run object for create operation."""
         # check flow value
-        if Path(self.flow).is_dir():
+        if Path(self.flow).is_dir() or Path(self.flow).is_file():
             # local flow
             pass
         elif isinstance(self.flow, str) and self.flow.startswith(REMOTE_URI_PREFIX):
@@ -743,3 +755,16 @@ def _copy(self, **kwargs):
         }
         logger.debug(f"Run init params: {init_params}")
         return Run(**init_params)
+
+    @functools.cached_property
+    def _flow_type(self) -> str:
+        """Get flow type of run."""
+
+        from promptflow._constants import FlowType
+        from promptflow._sdk._load_functions import load_flow
+        from promptflow._sdk.entities._flow import FlexFlow
+
+        flow_obj = load_flow(source=self.flow)
+        if isinstance(flow_obj, FlexFlow):
+            return FlowType.FLEX_FLOW
+        return FlowType.DAG_FLOW
diff --git a/src/promptflow/promptflow/_sdk/entities/_run_inputs.py b/src/promptflow-devkit/promptflow/_sdk/entities/_run_inputs.py
similarity index 100%
rename from src/promptflow/promptflow/_sdk/entities/_run_inputs.py
rename to src/promptflow-devkit/promptflow/_sdk/entities/_run_inputs.py
diff --git a/src/promptflow-devkit/promptflow/_sdk/entities/_trace.py b/src/promptflow-devkit/promptflow/_sdk/entities/_trace.py
new file mode 100644
index 00000000000..ef58fb7b78d
--- /dev/null
+++ b/src/promptflow-devkit/promptflow/_sdk/entities/_trace.py
@@ -0,0 +1,478 @@
+# ---------------------------------------------------------
+# Copyright (c) Microsoft Corporation. All rights reserved.
+# ---------------------------------------------------------
+
+import copy
+import datetime
+import json
+import logging
+import typing
+import uuid
+from dataclasses import asdict, dataclass
+
+from google.protobuf.json_format import MessageToJson
+from opentelemetry.proto.trace.v1.trace_pb2 import Span as PBSpan
+
+from promptflow._constants import (
+    RUNNING_LINE_RUN_STATUS,
+    SPAN_EVENTS_ATTRIBUTES_EVENT_ID,
+    SpanAttributeFieldName,
+    SpanContextFieldName,
+    SpanEventFieldName,
+    SpanFieldName,
+    SpanLinkFieldName,
+    SpanResourceAttributesFieldName,
+    SpanResourceFieldName,
+    SpanStatusFieldName,
+)
+from promptflow._sdk._constants import (
+    SPAN_EVENTS_ATTRIBUTE_PAYLOAD,
+    SPAN_EVENTS_NAME_PF_INPUTS,
+    SPAN_EVENTS_NAME_PF_OUTPUT,
+    TRACE_DEFAULT_COLLECTION,
+    CumulativeTokenCountFieldName,
+)
+from promptflow._sdk._errors import LineRunNotFoundError
+from promptflow._sdk._orm.trace import Event as ORMEvent
+from promptflow._sdk._orm.trace import LineRun as ORMLineRun
+from promptflow._sdk._orm.trace import Span as ORMSpan
+from promptflow._sdk._utils import (
+    convert_time_unix_nano_to_timestamp,
+    flatten_pb_attributes,
+    parse_otel_span_status_code,
+)
+
+
+class Event:
+    @staticmethod
+    def get(event_id: str) -> typing.Dict:
+        orm_event = ORMEvent.get(event_id)
+        return json.loads(orm_event.data)
+
+
+class Span:
+    """Span is exactly the same as OpenTelemetry Span."""
+
+    def __init__(
+        self,
+        trace_id: str,
+        span_id: str,
+        name: str,
+        context: typing.Dict[str, str],
+        kind: str,
+        start_time: datetime.datetime,
+        end_time: datetime.datetime,
+        status: typing.Dict[str, str],
+        resource: typing.Dict,
+        parent_id: typing.Optional[str] = None,
+        attributes: typing.Optional[typing.Dict[str, str]] = None,
+        links: typing.Optional[typing.List] = None,
+        events: typing.Optional[typing.List] = None,
+    ):
+        self.trace_id = trace_id
+        self.span_id = span_id
+        self.name = name
+        self.context = copy.deepcopy(context)
+        self.kind = kind
+        self.parent_id = parent_id
+        self.start_time = start_time
+        self.end_time = end_time
+        self.status = copy.deepcopy(status)
+        self.attributes = copy.deepcopy(attributes) if attributes is not None else dict()
+        self.links = copy.deepcopy(links) if links is not None else list()
+        self.events = copy.deepcopy(events) if events is not None else list()
+        self.resource = copy.deepcopy(resource)
+        self._external_event_ids = list()
+
+    def _persist(self) -> None:
+        # persist (create or update) line run
+        # line run should be persisted before events, where `events.attributes` will be updated inplace
+        self._persist_line_run()
+        # persist events to table `events`
+        # this operation will update `events.attributes` inplace
+        self._persist_events()
+        # persist span
+        self._to_orm_object().persist()
+
+    def _persist_events(self) -> None:
+        # persist events to table `events` and update `events.attributes` inplace
+        for i in range(len(self.events)):
+            event_id = str(uuid.uuid4())
+            event = self.events[i]
+            ORMEvent(
+                event_id=event_id,
+                trace_id=self.trace_id,
+                span_id=self.span_id,
+                data=json.dumps(event),
+            ).persist()
+            self.events[i][SpanEventFieldName.ATTRIBUTES] = {SPAN_EVENTS_ATTRIBUTES_EVENT_ID: event_id}
+
+    def _load_events(self) -> None:
+        # load events from table `events` and update `events.attributes` inplace
+        events = []
+        for i in range(len(self.events)):
+            event_id = self.events[i][SpanEventFieldName.ATTRIBUTES][SPAN_EVENTS_ATTRIBUTES_EVENT_ID]
+            self._external_event_ids.append(event_id)
+            events.append(Event.get(event_id=event_id))
+        self.events = events
+
+    def _persist_line_run(self) -> None:
+        # within a trace id, the line run will be created/updated in two cases:
+        #   1. first span: create, as we cannot identify the first span, so will use a try-catch
+        #   2. root span: update
+        if self.parent_id is None:
+            LineRun._from_root_span(self)._try_update()
+        else:
+            LineRun._from_non_root_span(self)._try_create()
+
+    @staticmethod
+    def _from_orm_object(obj: ORMSpan) -> "Span":
+        return Span(
+            trace_id=obj.trace_id,
+            span_id=obj.span_id,
+            name=obj.name,
+            context=copy.deepcopy(obj.context),
+            kind=obj.kind,
+            parent_id=obj.parent_id,
+            start_time=obj.start_time,
+            end_time=obj.end_time,
+            status=copy.deepcopy(obj.status),
+            attributes=copy.deepcopy(obj.attributes),
+            links=copy.deepcopy(obj.links),
+            events=copy.deepcopy(obj.events),
+            resource=copy.deepcopy(obj.resource),
+        )
+
+    def _to_orm_object(self) -> ORMSpan:
+        return ORMSpan(
+            trace_id=self.trace_id,
+            span_id=self.span_id,
+            name=self.name,
+            context=copy.deepcopy(self.context),
+            kind=self.kind,
+            parent_id=self.parent_id,
+            start_time=self.start_time,
+            end_time=self.end_time,
+            status=copy.deepcopy(self.status),
+            attributes=copy.deepcopy(self.attributes) if len(self.attributes) > 0 else None,
+            links=copy.deepcopy(self.links) if len(self.links) > 0 else None,
+            events=copy.deepcopy(self.events) if len(self.events) > 0 else None,
+            resource=copy.deepcopy(self.resource),
+        )
+
+    @staticmethod
+    def _from_protobuf_events(obj: typing.List[PBSpan.Event]) -> typing.List[typing.Dict]:
+        events = []
+        if len(obj) == 0:
+            return events
+        for pb_event in obj:
+            event_dict: dict = json.loads(MessageToJson(pb_event))
+            event = {
+                SpanEventFieldName.NAME: pb_event.name,
+                # .isoformat() here to make this dumpable to JSON
+                SpanEventFieldName.TIMESTAMP: convert_time_unix_nano_to_timestamp(pb_event.time_unix_nano).isoformat(),
+                SpanEventFieldName.ATTRIBUTES: flatten_pb_attributes(
+                    event_dict.get(SpanEventFieldName.ATTRIBUTES, dict())
+                ),
+            }
+            events.append(event)
+        return events
+
+    @staticmethod
+    def _from_protobuf_links(obj: typing.List[PBSpan.Link]) -> typing.List[typing.Dict]:
+        links = []
+        if len(obj) == 0:
+            return links
+        for pb_link in obj:
+            link_dict: dict = json.loads(MessageToJson(pb_link))
+            link = {
+                SpanLinkFieldName.CONTEXT: {
+                    SpanContextFieldName.TRACE_ID: pb_link.trace_id.hex(),
+                    SpanContextFieldName.SPAN_ID: pb_link.span_id.hex(),
+                    SpanContextFieldName.TRACE_STATE: pb_link.trace_state,
+                },
+                SpanLinkFieldName.ATTRIBUTES: flatten_pb_attributes(
+                    link_dict.get(SpanLinkFieldName.ATTRIBUTES, dict())
+                ),
+            }
+            links.append(link)
+        return links
+
+    @staticmethod
+    def _from_protobuf_object(obj: PBSpan, resource: typing.Dict, logger: logging.Logger) -> "Span":
+        # Open Telemetry does not provide official way to parse Protocol Buffer Span object
+        # so we need to parse it manually relying on `MessageToJson`
+        # reference: https://github.com/open-telemetry/opentelemetry-python/issues/3700#issuecomment-2010704554
+        span_dict: dict = json.loads(MessageToJson(obj))
+        logger.debug("Received span: %s, resource: %s", json.dumps(span_dict), json.dumps(resource))
+        span_id = obj.span_id.hex()
+        trace_id = obj.trace_id.hex()
+        parent_id = obj.parent_span_id.hex()
+        # we have observed in some scenarios, there is not `attributes` field
+        attributes = flatten_pb_attributes(span_dict.get(SpanFieldName.ATTRIBUTES, dict()))
+        links = Span._from_protobuf_links(obj.links)
+        events = Span._from_protobuf_events(obj.events)
+
+        return Span(
+            trace_id=trace_id,
+            span_id=span_id,
+            name=obj.name,
+            context={
+                SpanContextFieldName.TRACE_ID: trace_id,
+                SpanContextFieldName.SPAN_ID: span_id,
+                SpanContextFieldName.TRACE_STATE: obj.trace_state,
+            },
+            kind=obj.kind,
+            parent_id=parent_id if parent_id else None,
+            start_time=convert_time_unix_nano_to_timestamp(obj.start_time_unix_nano),
+            end_time=convert_time_unix_nano_to_timestamp(obj.end_time_unix_nano),
+            status={
+                SpanStatusFieldName.STATUS_CODE: parse_otel_span_status_code(obj.status.code),
+                SpanStatusFieldName.DESCRIPTION: obj.status.message,
+            },
+            attributes=attributes,
+            links=links,
+            events=events,
+            resource=resource,
+        )
+
+    def _to_rest_object(self) -> typing.Dict:
+        rest_events = copy.deepcopy(self.events)
+        # `self._external_event_ids` is empty indicates:
+        #   1. span object is lazy load
+        #   2. no external events
+        # iterate `self.events` to move event id(s) to `external_event_data_uris` in this case
+        # following the large data contract
+        if len(self._external_event_ids) == 0:
+            rest_external_event_data_uris = list()
+            for i in range(len(rest_events)):
+                event_id = rest_events[i][SpanEventFieldName.ATTRIBUTES].pop(SPAN_EVENTS_ATTRIBUTES_EVENT_ID)
+                rest_external_event_data_uris.append(event_id)
+        else:
+            rest_external_event_data_uris = copy.deepcopy(self._external_event_ids)
+        return {
+            "name": self.name,
+            "context": copy.deepcopy(self.context),
+            "kind": self.kind,
+            "parent_id": self.parent_id,
+            "start_time": self.start_time.isoformat(),
+            "end_time": self.end_time.isoformat(),
+            "status": copy.deepcopy(self.status),
+            "attributes": copy.deepcopy(self.attributes),
+            "links": copy.deepcopy(self.links),
+            "events": rest_events,
+            "resource": copy.deepcopy(self.resource),
+            "external_event_data_uris": rest_external_event_data_uris,
+        }
+
+
+@dataclass
+class LineRun:
+    line_run_id: str
+    trace_id: str
+    root_span_id: typing.Optional[str]
+    inputs: typing.Optional[typing.Dict]
+    outputs: typing.Optional[typing.Dict]
+    start_time: datetime.datetime
+    end_time: typing.Optional[datetime.datetime]
+    status: str
+    duration: typing.Optional[float]
+    name: typing.Optional[str]
+    kind: str
+    collection: str
+    cumulative_token_count: typing.Optional[typing.Dict[str, int]] = None
+    parent_id: typing.Optional[str] = None
+    run: typing.Optional[str] = None
+    line_number: typing.Optional[int] = None
+    experiment: typing.Optional[str] = None
+    session_id: typing.Optional[str] = None
+    evaluations: typing.Optional[typing.Dict[str, "LineRun"]] = None
+
+    @staticmethod
+    def _determine_line_run_id(span: Span) -> str:
+        # for test, use `attributes.line_run_id`
+        # for batch run and others, directly use `trace_id`
+        if SpanAttributeFieldName.LINE_RUN_ID in span.attributes:
+            return span.attributes[SpanAttributeFieldName.LINE_RUN_ID]
+        else:
+            return span.trace_id
+
+    @staticmethod
+    def _determine_parent_id(span: Span) -> typing.Optional[str]:
+        # for test, `attributes.referenced.line_run_id` should be the parent id
+        # for batch run, we need to query line run with run name and line number
+        # otherwise, there will be no parent id
+        if SpanAttributeFieldName.REFERENCED_LINE_RUN_ID in span.attributes:
+            return span.attributes[SpanAttributeFieldName.REFERENCED_LINE_RUN_ID]
+        elif SpanAttributeFieldName.REFERENCED_BATCH_RUN_ID in span.attributes:
+            line_run = ORMLineRun._get_with_run_and_line_number(
+                run=span.attributes[SpanAttributeFieldName.REFERENCED_BATCH_RUN_ID],
+                line_number=span.attributes[SpanAttributeFieldName.LINE_NUMBER],
+            )
+            return line_run.line_run_id if line_run is not None else None
+        else:
+            return None
+
+    @staticmethod
+    def _parse_common_args(span: Span) -> typing.Dict:
+        line_run_id = LineRun._determine_line_run_id(span)
+        resource_attributes = dict(span.resource.get(SpanResourceFieldName.ATTRIBUTES, dict()))
+        collection = resource_attributes.get(SpanResourceAttributesFieldName.COLLECTION, TRACE_DEFAULT_COLLECTION)
+        experiment = resource_attributes.get(SpanResourceAttributesFieldName.EXPERIMENT_NAME, None)
+        run = span.attributes.get(SpanAttributeFieldName.BATCH_RUN_ID, None)
+        line_number = span.attributes.get(SpanAttributeFieldName.LINE_NUMBER, None)
+        session_id = span.attributes.get(SpanAttributeFieldName.SESSION_ID, None)
+        parent_id = LineRun._determine_parent_id(span)
+        return {
+            "line_run_id": line_run_id,
+            "trace_id": span.trace_id,
+            "start_time": span.start_time,
+            "collection": collection,
+            "parent_id": parent_id,
+            "run": run,
+            "line_number": line_number,
+            "experiment": experiment,
+            "session_id": session_id,
+        }
+
+    @staticmethod
+    def _from_non_root_span(span: Span) -> "LineRun":
+        common_args = LineRun._parse_common_args(span)
+        return LineRun(
+            root_span_id=None,
+            inputs=None,
+            outputs=None,
+            end_time=None,
+            status=RUNNING_LINE_RUN_STATUS,
+            duration=None,
+            name=None,
+            kind=None,
+            **common_args,
+        )
+
+    @staticmethod
+    def _from_root_span(span: Span) -> "LineRun":
+        common_args = LineRun._parse_common_args(span)
+        # calculate `cumulative_token_count`
+        completion_token_count = int(span.attributes.get(SpanAttributeFieldName.COMPLETION_TOKEN_COUNT, 0))
+        prompt_token_count = int(span.attributes.get(SpanAttributeFieldName.PROMPT_TOKEN_COUNT, 0))
+        total_token_count = int(span.attributes.get(SpanAttributeFieldName.TOTAL_TOKEN_COUNT, 0))
+        if total_token_count > 0:
+            cumulative_token_count = {
+                CumulativeTokenCountFieldName.COMPLETION: completion_token_count,
+                CumulativeTokenCountFieldName.PROMPT: prompt_token_count,
+                CumulativeTokenCountFieldName.TOTAL: total_token_count,
+            }
+        else:
+            cumulative_token_count = None
+
+        return LineRun(
+            root_span_id=span.span_id,
+            inputs=LineRun._get_inputs_from_span(span),
+            outputs=LineRun._get_outputs_from_span(span),
+            end_time=span.end_time,
+            status=span.status[SpanStatusFieldName.STATUS_CODE],
+            duration=(span.end_time - span.start_time).total_seconds(),
+            name=span.name,
+            kind=span.attributes.get(SpanAttributeFieldName.SPAN_TYPE, span.kind),
+            cumulative_token_count=cumulative_token_count,
+            **common_args,
+        )
+
+    def _try_create(self) -> None:
+        # try to get via line run id first; if not found, create a new line run
+        try:
+            ORMLineRun.get(line_run_id=self.line_run_id)
+        except LineRunNotFoundError:
+            self._to_orm_object().persist()
+
+    def _try_update(self) -> None:
+        # try to get first; need to create, instead of update, for trace with only one root span
+        try:
+            ORMLineRun.get(line_run_id=self.line_run_id)
+            self._to_orm_object()._update()
+        except LineRunNotFoundError:
+            self._to_orm_object().persist()
+
+    @staticmethod
+    def _get_inputs_from_span(span: Span) -> typing.Optional[typing.Dict]:
+        for event in span.events:
+            if event[SpanEventFieldName.NAME] == SPAN_EVENTS_NAME_PF_INPUTS:
+                return json.loads(event[SpanEventFieldName.ATTRIBUTES][SPAN_EVENTS_ATTRIBUTE_PAYLOAD])
+        return None
+
+    @staticmethod
+    def _get_outputs_from_span(span: Span) -> typing.Optional[typing.Dict]:
+        for event in span.events:
+            if event[SpanEventFieldName.NAME] == SPAN_EVENTS_NAME_PF_OUTPUT:
+                return json.loads(event[SpanEventFieldName.ATTRIBUTES][SPAN_EVENTS_ATTRIBUTE_PAYLOAD])
+        return None
+
+    @staticmethod
+    def _from_orm_object(obj: ORMLineRun) -> "LineRun":
+        return LineRun(
+            line_run_id=obj.line_run_id,
+            trace_id=obj.trace_id,
+            root_span_id=obj.root_span_id,
+            inputs=copy.deepcopy(obj.inputs),
+            outputs=copy.deepcopy(obj.outputs),
+            start_time=obj.start_time,
+            end_time=obj.end_time,
+            status=obj.status,
+            duration=obj.duration,
+            name=obj.name,
+            kind=obj.kind,
+            cumulative_token_count=copy.deepcopy(obj.cumulative_token_count),
+            parent_id=obj.parent_id,
+            run=obj.run,
+            line_number=obj.line_number,
+            experiment=obj.experiment,
+            session_id=obj.session_id,
+            collection=obj.collection,
+        )
+
+    def _to_orm_object(self) -> ORMLineRun:
+        return ORMLineRun(
+            line_run_id=self.line_run_id,
+            trace_id=self.trace_id,
+            root_span_id=self.root_span_id,
+            inputs=copy.deepcopy(self.inputs),
+            outputs=copy.deepcopy(self.outputs),
+            start_time=self.start_time,
+            end_time=self.end_time,
+            status=self.status,
+            duration=self.duration,
+            name=self.name,
+            kind=self.kind,
+            cumulative_token_count=copy.deepcopy(self.cumulative_token_count),
+            parent_id=self.parent_id,
+            run=self.run,
+            line_number=self.line_number,
+            experiment=self.experiment,
+            session_id=self.session_id,
+            collection=self.collection,
+        )
+
+    def _append_evaluations(self, evaluations: typing.List["LineRun"]) -> None:
+        for evaluation in evaluations:
+            if self.evaluations is None:
+                self.evaluations = dict()
+            eval_name = evaluation.run if evaluation.run is not None else evaluation.name
+            self.evaluations[eval_name] = evaluation
+
+    def _to_rest_object(self) -> typing.Dict:
+        # datetime.datetime is not JSON serializable, so we need to take care of this
+        # otherwise, Flask will raise and complain about this
+        # line run's start/end time, and (optional) evaluations start/end time
+        _self = copy.deepcopy(self)
+        _self.start_time = _self.start_time.isoformat()
+        _self.end_time = _self.end_time.isoformat() if self.end_time is not None else None
+        # evaluations
+        if _self.evaluations is not None:
+            for eval_name in _self.evaluations:
+                evaluation = _self.evaluations[eval_name]
+                _self.evaluations[eval_name].start_time = evaluation.start_time.isoformat()
+                _self.evaluations[eval_name].end_time = (
+                    evaluation.end_time.isoformat() if evaluation.end_time is not None else None
+                )
+        return asdict(_self)
diff --git a/src/promptflow/promptflow/_sdk/entities/_validation/__init__.py b/src/promptflow-devkit/promptflow/_sdk/entities/_validation/__init__.py
similarity index 100%
rename from src/promptflow/promptflow/_sdk/entities/_validation/__init__.py
rename to src/promptflow-devkit/promptflow/_sdk/entities/_validation/__init__.py
diff --git a/src/promptflow/promptflow/_sdk/entities/_validation/core.py b/src/promptflow-devkit/promptflow/_sdk/entities/_validation/core.py
similarity index 100%
rename from src/promptflow/promptflow/_sdk/entities/_validation/core.py
rename to src/promptflow-devkit/promptflow/_sdk/entities/_validation/core.py
diff --git a/src/promptflow/promptflow/_sdk/entities/_validation/schema.py b/src/promptflow-devkit/promptflow/_sdk/entities/_validation/schema.py
similarity index 100%
rename from src/promptflow/promptflow/_sdk/entities/_validation/schema.py
rename to src/promptflow-devkit/promptflow/_sdk/entities/_validation/schema.py
diff --git a/src/promptflow/promptflow/_sdk/entities/_yaml_translatable.py b/src/promptflow-devkit/promptflow/_sdk/entities/_yaml_translatable.py
similarity index 100%
rename from src/promptflow/promptflow/_sdk/entities/_yaml_translatable.py
rename to src/promptflow-devkit/promptflow/_sdk/entities/_yaml_translatable.py
diff --git a/src/promptflow/promptflow/_sdk/operations/__init__.py b/src/promptflow-devkit/promptflow/_sdk/operations/__init__.py
similarity index 100%
rename from src/promptflow/promptflow/_sdk/operations/__init__.py
rename to src/promptflow-devkit/promptflow/_sdk/operations/__init__.py
diff --git a/src/promptflow/promptflow/_sdk/operations/_connection_operations.py b/src/promptflow-devkit/promptflow/_sdk/operations/_connection_operations.py
similarity index 69%
rename from src/promptflow/promptflow/_sdk/operations/_connection_operations.py
rename to src/promptflow-devkit/promptflow/_sdk/operations/_connection_operations.py
index 856805c8d59..5e5e5b77ccb 100644
--- a/src/promptflow/promptflow/_sdk/operations/_connection_operations.py
+++ b/src/promptflow-devkit/promptflow/_sdk/operations/_connection_operations.py
@@ -2,14 +2,17 @@
 # Copyright (c) Microsoft Corporation. All rights reserved.
 # ---------------------------------------------------------
 from datetime import datetime
-from typing import List
+from typing import List, Type, TypeVar
 
 from promptflow._sdk._constants import MAX_LIST_CLI_RESULTS
-from promptflow._sdk._errors import ConnectionNameNotSetError
+from promptflow._sdk._errors import ConnectionClassNotFoundError, ConnectionNameNotSetError
 from promptflow._sdk._orm import Connection as ORMConnection
 from promptflow._sdk._telemetry import ActivityType, TelemetryMixin, monitor_operation
 from promptflow._sdk._utils import safe_parse_object_list
-from promptflow._sdk.entities._connection import _Connection
+from promptflow._sdk.entities._connection import CustomConnection, _Connection
+from promptflow.connections import _Connection as _CoreConnection
+
+T = TypeVar("T", bound="_Connection")
 
 
 class ConnectionOperations(TelemetryMixin):
@@ -70,8 +73,28 @@ def delete(self, name: str) -> None:
         """
         ORMConnection.delete(name)
 
+    @classmethod
+    def _convert_core_connection_to_sdk_connection(cls, core_conn):
+        sdk_conn_mapping = _Connection.SUPPORTED_TYPES
+        sdk_conn_cls = sdk_conn_mapping.get(core_conn.type)
+        if sdk_conn_cls is None:
+            raise ConnectionClassNotFoundError(
+                f"Correspond sdk connection type not found for core connection type: {core_conn.type!r}, "
+                f"please install the latest 'promptflow-devkit' and 'promptflow-core'."
+            )
+        common_args = {
+            "name": core_conn.name,
+            "module": core_conn.module,
+            "expiry_time": core_conn.expiry_time,
+            "created_date": core_conn.created_date,
+            "last_modified_date": core_conn.last_modified_date,
+        }
+        if sdk_conn_cls is CustomConnection:
+            return sdk_conn_cls(configs=core_conn.configs, secrets=core_conn.secrets, **common_args)
+        return sdk_conn_cls(**dict(core_conn), **common_args)
+
     @monitor_operation(activity_name="pf.connections.create_or_update", activity_type=ActivityType.PUBLICAPI)
-    def create_or_update(self, connection: _Connection, **kwargs):
+    def create_or_update(self, connection: Type[_Connection], **kwargs):
         """Create or update a connection.
 
         :param connection: Run object to create or update.
@@ -79,6 +102,8 @@ def create_or_update(self, connection: _Connection, **kwargs):
         """
         if not connection.name:
             raise ConnectionNameNotSetError("Name is required to create or update connection.")
+        if isinstance(connection, _CoreConnection) and not isinstance(connection, _Connection):
+            connection = self._convert_core_connection_to_sdk_connection(connection)
         orm_object = connection._to_orm_object()
         now = datetime.now().isoformat()
         if orm_object.createdDate is None:
diff --git a/src/promptflow/promptflow/_sdk/operations/_experiment_operations.py b/src/promptflow-devkit/promptflow/_sdk/operations/_experiment_operations.py
similarity index 95%
rename from src/promptflow/promptflow/_sdk/operations/_experiment_operations.py
rename to src/promptflow-devkit/promptflow/_sdk/operations/_experiment_operations.py
index 7499c62bb26..7b3fe2a8021 100644
--- a/src/promptflow/promptflow/_sdk/operations/_experiment_operations.py
+++ b/src/promptflow-devkit/promptflow/_sdk/operations/_experiment_operations.py
@@ -57,7 +57,7 @@ def get(self, name: str) -> Experiment:
         :return: experiment object retrieved from the database.
         :rtype: ~promptflow.entities.Experiment
         """
-        from promptflow._sdk._submitter.experiment_orchestrator import ExperimentOrchestrator
+        from promptflow._sdk._orchestrator.experiment_orchestrator import ExperimentOrchestrator
 
         ExperimentOrchestrator.get_status(name)
         return Experiment._from_orm_object(ORMExperiment.get(name))
@@ -103,7 +103,7 @@ def start(self, experiment: Experiment, stream=False, inputs=None, **kwargs) ->
         :return: Experiment object started.
         :rtype: ~promptflow.entities.Experiment
         """
-        from promptflow._sdk._submitter.experiment_orchestrator import ExperimentOrchestrator
+        from promptflow._sdk._orchestrator.experiment_orchestrator import ExperimentOrchestrator
 
         if experiment._source_path:
             # Update snapshot for anonymous experiment
@@ -146,7 +146,7 @@ def stop(self, experiment: Experiment, **kwargs) -> Experiment:
         :return: Experiment object started.
         :rtype: ~promptflow.entities.Experiment
         """
-        from promptflow._sdk._submitter.experiment_orchestrator import ExperimentOrchestrator
+        from promptflow._sdk._orchestrator.experiment_orchestrator import ExperimentOrchestrator
 
         ExperimentOrchestrator(self._client, experiment).stop()
         return self.get(experiment.name)
@@ -166,7 +166,7 @@ def _test(
         :type environment_variables: dict
         """
         from .._load_functions import _load_experiment_template
-        from .._submitter.experiment_orchestrator import ExperimentOrchestrator
+        from .._orchestrator.experiment_orchestrator import ExperimentOrchestrator
 
         experiment_template = _load_experiment_template(experiment)
         output_path = kwargs.get("output_path", None)
diff --git a/src/promptflow/promptflow/_sdk/operations/_flow_operations.py b/src/promptflow-devkit/promptflow/_sdk/operations/_flow_operations.py
similarity index 82%
rename from src/promptflow/promptflow/_sdk/operations/_flow_operations.py
rename to src/promptflow-devkit/promptflow/_sdk/operations/_flow_operations.py
index 64a850192de..11fc2d5c38b 100644
--- a/src/promptflow/promptflow/_sdk/operations/_flow_operations.py
+++ b/src/promptflow-devkit/promptflow/_sdk/operations/_flow_operations.py
@@ -16,41 +16,38 @@
 from promptflow._constants import FlowLanguage
 from promptflow._sdk._configuration import Configuration
 from promptflow._sdk._constants import (
-    CHAT_HISTORY,
     DEFAULT_ENCODING,
     FLOW_META_JSON_GEN_TIMEOUT,
     FLOW_TOOLS_JSON_GEN_TIMEOUT,
     LOCAL_MGMT_DB_PATH,
 )
 from promptflow._sdk._load_functions import load_flow
-from promptflow._sdk._submitter import TestSubmitter
-from promptflow._sdk._submitter.utils import SubmitterHelper
+from promptflow._sdk._orchestrator import TestSubmitter
+from promptflow._sdk._orchestrator.utils import SubmitterHelper
 from promptflow._sdk._telemetry import ActivityType, TelemetryMixin, monitor_operation
 from promptflow._sdk._utils import (
     _get_additional_includes,
     _merge_local_code_and_additional_includes,
     copy_tree_respect_template_and_ignore_file,
-    dump_flow_result,
-    generate_flow_meta,
     generate_flow_tools_json,
     generate_random_string,
+    json_load,
     logger,
-    parse_variant,
 )
-from promptflow._sdk.entities._eager_flow import EagerFlow
-from promptflow._sdk.entities._flow import Flow, FlowBase, ProtectedFlow
+from promptflow._sdk.entities._flow import FlexFlow, Flow
 from promptflow._sdk.entities._validation import ValidationResult
 from promptflow._utils.context_utils import _change_working_dir
+from promptflow._utils.flow_utils import dump_flow_result, is_executable_chat_flow, is_flex_flow, parse_variant
 from promptflow._utils.yaml_utils import dump_yaml, load_yaml
-from promptflow.exceptions import UserErrorException
+from promptflow.exceptions import ErrorTarget, UserErrorException
 
 
 class FlowOperations(TelemetryMixin):
     """FlowOperations."""
 
-    def __init__(self, client):
+    def __init__(self, client, **kwargs):
+        super().__init__(**kwargs)
         self._client = client
-        super().__init__()
 
     @monitor_operation(activity_name="pf.flows.test", activity_type=ActivityType.PUBLICAPI)
     def test(
@@ -86,6 +83,13 @@ def test(
         experiment = kwargs.pop("experiment", None)
         output_path = kwargs.get("output_path", None)
         if Configuration.get_instance().is_internal_features_enabled() and experiment:
+            if variant is not None or node is not None:
+                error = ValueError("--variant or --node is not supported experiment is specified.")
+                raise UserErrorException(
+                    target=ErrorTarget.CONTROL_PLANE_SDK,
+                    message=str(error),
+                    error=error,
+                )
             return self._client._experiments._test(
                 flow=flow,
                 inputs=inputs,
@@ -102,7 +106,6 @@ def test(
             environment_variables=environment_variables,
             **kwargs,
         )
-
         dump_test_result = kwargs.get("dump_test_result", False)
         if dump_test_result:
             # Dump flow/node test info
@@ -155,16 +158,14 @@ def _test(
         :param allow_generator_output: Whether return streaming output when flow has streaming output.
         :return: Executor result
         """
-        from promptflow._sdk._load_functions import load_flow
-
         inputs = inputs or {}
         output_path = kwargs.get("output_path", None)
         session = kwargs.pop("session", None)
         # Run id will be set in operation context and used for session
         run_id = kwargs.get("run_id", str(uuid.uuid4()))
-        flow: FlowBase = load_flow(flow)
+        flow = load_flow(flow)
 
-        if isinstance(flow, EagerFlow):
+        if isinstance(flow, FlexFlow):
             if variant or node:
                 logger.warning("variant and node are not supported for eager flow, will be ignored")
                 variant, node = None, None
@@ -178,12 +179,13 @@ def _test(
             stream_output=stream_output,
             session=session,
         ) as submitter:
-            if isinstance(flow, EagerFlow):
+            if isinstance(flow, FlexFlow):
                 # TODO(2897153): support chat eager flow
+                # set is chat flow to True to allow generator output
                 is_chat_flow, chat_history_input_name = False, None
                 flow_inputs, dependency_nodes_outputs = inputs, None
             else:
-                is_chat_flow, chat_history_input_name, _ = self._is_chat_flow(submitter.dataplane_flow)
+                is_chat_flow, chat_history_input_name, _ = is_executable_chat_flow(submitter.dataplane_flow)
                 flow_inputs, dependency_nodes_outputs = submitter.resolve_data(
                     node_name=node, inputs=inputs, chat_history_name=chat_history_input_name
                 )
@@ -200,36 +202,6 @@ def _test(
                     run_id=run_id,
                 )
 
-    @staticmethod
-    def _is_chat_flow(flow):
-        """
-        Check if the flow is chat flow.
-        Check if chat_history in the flow input and only one chat input and
-        one chat output to determine if it is a chat flow.
-        """
-        chat_inputs = [item for item in flow.inputs.values() if item.is_chat_input]
-        chat_outputs = [item for item in flow.outputs.values() if item.is_chat_output]
-        chat_history_input_name = next(
-            iter([input_name for input_name, value in flow.inputs.items() if value.is_chat_history]), None
-        )
-        if (
-            not chat_history_input_name
-            and CHAT_HISTORY in flow.inputs
-            and flow.inputs[CHAT_HISTORY].is_chat_history is not False
-        ):
-            chat_history_input_name = CHAT_HISTORY
-        is_chat_flow, error_msg = True, ""
-        if len(chat_inputs) != 1:
-            is_chat_flow = False
-            error_msg = "chat flow does not support multiple chat inputs"
-        elif len(chat_outputs) != 1:
-            is_chat_flow = False
-            error_msg = "chat flow does not support multiple chat outputs"
-        elif not chat_history_input_name:
-            is_chat_flow = False
-            error_msg = "chat_history is required in the inputs of chat flow"
-        return is_chat_flow, chat_history_input_name, error_msg
-
     @monitor_operation(activity_name="pf.flows._chat", activity_type=ActivityType.INTERNALCALL)
     def _chat(
         self,
@@ -251,14 +223,14 @@ def _chat(
         """
         from promptflow._sdk._load_functions import load_flow
 
-        flow: FlowBase = load_flow(flow)
+        flow = load_flow(flow)
         flow.context.variant = variant
 
         with TestSubmitter(flow=flow, flow_context=flow.context, client=self._client).init(
             environment_variables=environment_variables,
             stream_log=False,  # no need to stream log in chat mode
         ) as submitter:
-            is_chat_flow, chat_history_input_name, error_msg = self._is_chat_flow(submitter.dataplane_flow)
+            is_chat_flow, chat_history_input_name, error_msg = is_executable_chat_flow(submitter.dataplane_flow)
             if not is_chat_flow:
                 raise UserErrorException(f"Only support chat flow in interactive mode, {error_msg}.")
 
@@ -275,6 +247,89 @@ def _chat(
                 show_step_output=kwargs.get("show_step_output", False),
             )
 
+    def _test_with_ui(
+        self,
+        flow: Union[str, PathLike],
+        output_path: PathLike,
+        *,
+        inputs: dict = None,
+        variant: str = None,
+        node: str = None,
+        environment_variables: dict = None,
+        entry: str = None,
+        **kwargs,
+    ) -> dict:
+        """Test flow or node by http request.
+
+        :param flow: path to flow directory to test
+        :type flow: Union[str, PathLike]
+        :param inputs: Input data for the flow test
+        :type inputs: dict
+        :param variant: Node & variant name in format of ${node_name.variant_name}, will use default variant
+           if not specified.
+        :type variant: str
+        :param node: If specified it will only test this node, else it will test the flow.
+        :type node: str
+        :param environment_variables: Environment variables to set by specifying a property path and value.
+           Example: {"key1": "${my_connection.api_key}", "key2"="value2"}
+           The value reference to connection keys will be resolved to the actual value,
+           and all environment variables specified will be set into os.environ.
+        :type environment_variables: dict
+        :return: The result of flow or node
+        :rtype: dict
+        """
+        # TODO : it's not clear why we need this method, please help verify:
+        #  1. why we can't use test method directly
+        #  2. is _chat_with_ui still necessary
+        experiment = kwargs.pop("experiment", None)
+        if Configuration.get_instance().is_internal_features_enabled() and experiment:
+            result = self.test(
+                flow=flow,
+                inputs=inputs,
+                environment_variables=environment_variables,
+                variant=variant,
+                node=node,
+                allow_generator_output=kwargs.pop("allow_generator_output", False),
+                stream_output=kwargs.pop("stream_output", False),
+                experiment=experiment,
+                output_path=output_path,
+            )
+            return_output = {}
+            for key in result:
+                detail_path = output_path / key / "flow.detail.json"
+                log_path = output_path / key / "flow.log"
+                detail_content = json_load(detail_path)
+                with open(log_path, "r") as file:
+                    log_content = file.read()
+                return_output[key] = {"detail": detail_content, "log": log_content}
+        else:
+            self.test(
+                flow=flow,
+                inputs=inputs,
+                environment_variables=environment_variables,
+                variant=variant,
+                node=node,
+                allow_generator_output=False,
+                stream_output=False,
+                dump_test_result=True,
+                output_path=output_path,
+            )
+            if node:
+                detail_path = output_path / f"flow-{node}.node.detail.json"
+                log_path = output_path / f"{node}.node.log"
+            else:
+                if variant:
+                    tuning_node, node_variant = parse_variant(variant)
+                    detail_path = output_path / f"flow-{tuning_node}-{node_variant}.detail.json"
+                else:
+                    detail_path = output_path / "flow.detail.json"
+                log_path = output_path / "flow.log"
+            detail_content = json_load(detail_path)
+            with open(log_path, "r") as file:
+                log_content = file.read()
+            return_output = {"flow": {"detail": detail_content, "log": log_content}}
+        return return_output
+
     @monitor_operation(activity_name="pf.flows._chat_with_ui", activity_type=ActivityType.INTERNALCALL)
     def _chat_with_ui(self, script, skip_open_browser: bool = False):
         try:
@@ -402,14 +457,14 @@ def _export_flow_connections(
         that the flow involves no additional includes, symlink, or variant.
         :param output_dir: output directory to export connections
         """
-        flow: FlowBase = load_flow(built_flow_dag_path)
+        flow = load_flow(built_flow_dag_path)
         with _change_working_dir(flow.code):
             if flow.language == FlowLanguage.CSharp:
-                from promptflow.batch import CSharpExecutorProxy
+                from promptflow._proxy._csharp_executor_proxy import CSharpExecutorProxy
 
                 return self._migrate_connections(
                     connection_names=SubmitterHelper.get_used_connection_names(
-                        tools_meta=CSharpExecutorProxy.get_tool_metadata(
+                        tools_meta=CSharpExecutorProxy.generate_flow_tools_json(
                             flow_file=flow.flow_dag_path,
                             working_dir=flow.code,
                         ),
@@ -437,7 +492,7 @@ def _build_flow(
         update_flow_tools_json: bool = True,
     ):
         # TODO: confirm if we need to import this
-        from promptflow._sdk._submitter import variant_overwrite_context
+        from promptflow._sdk._orchestrator import variant_overwrite_context
 
         flow_copy_target = Path(output)
         flow_copy_target.mkdir(parents=True, exist_ok=True)
@@ -533,7 +588,7 @@ def _build_as_executable(
             if not value.is_chat_history
         }
 
-        is_chat_flow, chat_history_input_name, _ = self._is_chat_flow(executable)
+        is_chat_flow, chat_history_input_name, _ = is_executable_chat_flow(executable)
         chat_output_name = next(
             filter(
                 lambda key: executable.outputs[key].is_chat_output,
@@ -569,8 +624,11 @@ def _build_as_executable(
 
     def _run_pyinstaller(self, output_dir):
         with _change_working_dir(output_dir, mkdir=False):
-            subprocess.run(["pyinstaller", "app.spec"], check=True)
-            print("PyInstaller command executed successfully.")
+            try:
+                subprocess.run(["pyinstaller", "app.spec"], check=True)
+                print("PyInstaller command executed successfully.")
+            except FileNotFoundError as e:
+                raise UserErrorException(message_format="app.spec not found when run pyinstaller") from e
 
     @monitor_operation(activity_name="pf.flows.build", activity_type=ActivityType.PUBLICAPI)
     def build(
@@ -600,7 +658,7 @@ def build(
         output_dir = Path(output).absolute()
         output_dir.mkdir(parents=True, exist_ok=True)
 
-        flow: FlowBase = load_flow(flow)
+        flow = load_flow(flow)
         is_csharp_flow = flow.language == FlowLanguage.CSharp
 
         if format not in ["docker", "executable"]:
@@ -655,7 +713,7 @@ def build(
     @contextlib.contextmanager
     def _resolve_additional_includes(cls, flow_dag_path: Path) -> Iterable[Path]:
         # TODO: confirm if we need to import this
-        from promptflow._sdk._submitter import remove_additional_includes
+        from promptflow._sdk._orchestrator import remove_additional_includes
 
         # Eager flow may not contain a yaml file, skip resolving additional includes
         def is_yaml_file(file_path):
@@ -684,12 +742,12 @@ def validate(self, flow: Union[str, PathLike], *, raise_error: bool = False, **k
         :rtype: ValidationResult
         """
 
-        flow_entity: ProtectedFlow = load_flow(source=flow, raise_error=False)
+        flow_entity: Flow = load_flow(source=flow, raise_error=False)
 
         # TODO: put off this if we do path existence check in FlowSchema on fields other than additional_includes
         validation_result = flow_entity._validate()
 
-        if isinstance(flow_entity, ProtectedFlow):
+        if not isinstance(flow_entity, FlexFlow):
             # only DAG flow has tools meta
             source_path_mapping = {}
             flow_tools, tools_errors = self._generate_tools_meta(
@@ -734,7 +792,7 @@ def _generate_tools_meta(
         This is a private interface for vscode extension, so do not change the interface unless necessary.
 
         Usage:
-        from promptflow import PFClient
+        from promptflow.client import PFClient
         PFClient().flows._generate_tools_meta(flow="flow.dag.yaml", source_name="convert_to_dict.py")
 
         :param flow: path to the flow directory or flow dag to export
@@ -749,10 +807,10 @@ def _generate_tools_meta(
         :return: dict of tools meta and dict of tools errors
         :rtype: Tuple[dict, dict]
         """
-        flow: FlowBase = load_flow(source=flow)
-        if not isinstance(flow, ProtectedFlow):
+        flow = load_flow(source=flow)
+        if is_flex_flow(yaml_dict=flow._data):
             # No tools meta for eager flow
-            return {}, {}
+            return {"package": {}, "code": {}}, {}
 
         with self._resolve_additional_includes(flow.flow_dag_path) as new_flow_dag_path:
             flow_tools = generate_flow_tools_json(
@@ -814,7 +872,7 @@ def _generate_flow_meta(
         This is a private interface for vscode extension, so do not change the interface unless necessary.
 
         Usage:
-        from promptflow import PFClient
+        from promptflow.client import PFClient
         PFClient().flows._generate_flow_meta(flow="flow.dag.yaml")
 
         :param flow: path to the flow directory or flow dag to export
@@ -829,17 +887,22 @@ def _generate_flow_meta(
         :return: dict of flow meta
         :rtype: Tuple[dict, dict]
         """
-        flow: Union[ProtectedFlow, EagerFlow] = load_flow(source=flow)
-        if not isinstance(flow, EagerFlow):
+        flow: Union[Flow, FlexFlow] = load_flow(source=flow)
+        if not isinstance(flow, FlexFlow):
             # No flow meta for DAG flow
             return {}
 
         with self._resolve_additional_includes(flow.path) as new_flow_dag_path:
-            return generate_flow_meta(
-                flow_directory=new_flow_dag_path.parent,
-                source_path=flow.entry_file,
-                entry=flow.entry,
-                dump=dump,
-                timeout=timeout,
-                load_in_subprocess=load_in_subprocess,
+            from promptflow._proxy import ProxyFactory
+
+            return (
+                ProxyFactory()
+                .get_executor_proxy_cls(flow.language)
+                .generate_flow_json(
+                    flow_file=new_flow_dag_path,
+                    working_dir=new_flow_dag_path.parent,
+                    dump=dump,
+                    timeout=timeout,
+                    load_in_subprocess=load_in_subprocess,
+                )
             )
diff --git a/src/promptflow/promptflow/_sdk/operations/_local_azure_connection_operations.py b/src/promptflow-devkit/promptflow/_sdk/operations/_local_azure_connection_operations.py
similarity index 85%
rename from src/promptflow/promptflow/_sdk/operations/_local_azure_connection_operations.py
rename to src/promptflow-devkit/promptflow/_sdk/operations/_local_azure_connection_operations.py
index af2134c0b6a..ad09bb6191e 100644
--- a/src/promptflow/promptflow/_sdk/operations/_local_azure_connection_operations.py
+++ b/src/promptflow-devkit/promptflow/_sdk/operations/_local_azure_connection_operations.py
@@ -1,23 +1,28 @@
 # ---------------------------------------------------------
 # Copyright (c) Microsoft Corporation. All rights reserved.
 # ---------------------------------------------------------
-import re
 import sys
 from typing import List
 
-from promptflow._sdk._constants import AZURE_WORKSPACE_REGEX_FORMAT, MAX_LIST_CLI_RESULTS
+from promptflow._sdk._constants import MAX_LIST_CLI_RESULTS
 from promptflow._sdk._telemetry import ActivityType, WorkspaceTelemetryMixin, monitor_operation
-from promptflow._sdk._utils import interactive_credential_disabled, is_from_cli, is_github_codespaces, print_red_error
+from promptflow._sdk._utils import print_red_error
 from promptflow._sdk.entities._connection import _Connection
 from promptflow._utils.credential_utils import get_default_azure_credential
 from promptflow._utils.logger_utils import get_cli_sdk_logger
+from promptflow.core._connection_provider._utils import (
+    extract_workspace,
+    interactive_credential_disabled,
+    is_from_cli,
+    is_github_codespaces,
+)
 
 logger = get_cli_sdk_logger()
 
 
 class LocalAzureConnectionOperations(WorkspaceTelemetryMixin):
     def __init__(self, connection_provider, **kwargs):
-        self._subscription_id, self._resource_group, self._workspace_name = self._extract_workspace(connection_provider)
+        self._subscription_id, self._resource_group, self._workspace_name = extract_workspace(connection_provider)
         self._credential = kwargs.pop("credential", None) or self._get_credential()
         super().__init__(
             subscription_id=self._subscription_id,
@@ -70,20 +75,6 @@ def _get_credential(cls):
             return credential
         return DefaultAzureCredential(exclude_interactive_browser_credential=False)
 
-    @classmethod
-    def _extract_workspace(cls, connection_provider):
-        match = re.match(AZURE_WORKSPACE_REGEX_FORMAT, connection_provider)
-        if not match or len(match.groups()) != 5:
-            raise ValueError(
-                "Malformed connection provider string, expected azureml://subscriptions/<subscription_id>/"
-                "resourceGroups/<resource_group>/providers/Microsoft.MachineLearningServices/"
-                f"workspaces/<workspace_name>, got {connection_provider}"
-            )
-        subscription_id = match.group(1)
-        resource_group = match.group(3)
-        workspace_name = match.group(5)
-        return subscription_id, resource_group, workspace_name
-
     @monitor_operation(activity_name="pf.connections.azure.list", activity_type=ActivityType.PUBLICAPI)
     def list(
         self,
diff --git a/src/promptflow/promptflow/_sdk/operations/_local_storage_operations.py b/src/promptflow-devkit/promptflow/_sdk/operations/_local_storage_operations.py
similarity index 87%
rename from src/promptflow/promptflow/_sdk/operations/_local_storage_operations.py
rename to src/promptflow-devkit/promptflow/_sdk/operations/_local_storage_operations.py
index f5ea3e0204f..00b1d154c38 100644
--- a/src/promptflow/promptflow/_sdk/operations/_local_storage_operations.py
+++ b/src/promptflow-devkit/promptflow/_sdk/operations/_local_storage_operations.py
@@ -14,6 +14,7 @@
 
 from filelock import FileLock
 
+from promptflow._constants import OUTPUT_FILE_NAME, OutputsFolderName
 from promptflow._sdk._constants import (
     HOME_PROMPT_FLOW_DIR,
     LINE_NUMBER,
@@ -35,16 +36,11 @@
     write_open,
 )
 from promptflow._sdk.entities import Run
-from promptflow._sdk.entities._eager_flow import EagerFlow
-from promptflow._sdk.entities._flow import Flow
-from promptflow._utils.dataclass_serializer import serialize
+from promptflow._sdk.entities._flow import FlexFlow, Flow
 from promptflow._utils.exception_utils import PromptflowExceptionPresenter
 from promptflow._utils.logger_utils import LogContext, get_cli_sdk_logger
-from promptflow._utils.multimedia_utils import (
-    get_file_reference_encoder,
-    load_multimedia_data_recursively,
-    resolve_multimedia_data_recursively,
-)
+from promptflow._utils.multimedia_utils import MultimediaProcessor
+from promptflow._utils.utils import prepare_folder
 from promptflow._utils.yaml_utils import load_yaml
 from promptflow.batch._result import BatchResult
 from promptflow.contracts.multimedia import Image
@@ -54,6 +50,7 @@
 from promptflow.contracts.run_mode import RunMode
 from promptflow.exceptions import UserErrorException
 from promptflow.storage import AbstractBatchRunStorage
+from promptflow.tracing._utils import serialize
 
 logger = get_cli_sdk_logger()
 
@@ -74,6 +71,7 @@ def get_logs(self) -> str:
         with read_open(self.file_path) as f:
             return f.read()
 
+    @classmethod
     def _get_execute_loggers_list(cls) -> List[logging.Logger]:
         result = super()._get_execute_loggers_list()
         result.append(logger)
@@ -86,6 +84,7 @@ def get_initializer(self):
             run_mode=self.run_mode,
             credential_list=self.credential_list,
             stream=self.stream,
+            flow_logs_folder=self.flow_logs_folder,
         )
 
     def __enter__(self):
@@ -93,6 +92,8 @@ def __enter__(self):
         log_path.parent.mkdir(parents=True, exist_ok=True)
         if self.run_mode == RunMode.Batch:
             log_path.touch(exist_ok=True)
+            line_folder_path = Path(self.flow_logs_folder)
+            line_folder_path.mkdir(parents=True, exist_ok=True)
         else:
             if log_path.exists():
                 # for non batch run, clean up previous log content
@@ -191,13 +192,16 @@ class LocalStorageOperations(AbstractBatchRunStorage):
 
     def __init__(self, run: Run, stream=False, run_mode=RunMode.Test):
         self._run = run
-        self.path = self._prepare_folder(self._run._output_path)
+        self.path = prepare_folder(self._run._output_path)
 
         self.logger = LoggerOperations(
-            file_path=self.path / LocalStorageFilenames.LOG, stream=stream, run_mode=run_mode
+            file_path=self.path / LocalStorageFilenames.LOG,
+            stream=stream,
+            run_mode=run_mode,
+            flow_logs_folder=self.path / LocalStorageFilenames.FLOW_LOGS_FOLDER,
         )
         # snapshot
-        self._snapshot_folder_path = self._prepare_folder(self.path / LocalStorageFilenames.SNAPSHOT_FOLDER)
+        self._snapshot_folder_path = prepare_folder(self.path / LocalStorageFilenames.SNAPSHOT_FOLDER)
         self._dag_path = self._snapshot_folder_path / LocalStorageFilenames.DAG
         self._flow_tools_json_path = (
             self._snapshot_folder_path / PROMPT_FLOW_DIR_NAME / LocalStorageFilenames.FLOW_TOOLS_JSON
@@ -214,10 +218,10 @@ def __init__(self, run: Run, stream=False, run_mode=RunMode.Test):
         # for line run records, store per line
         # for normal node run records, store per node per line;
         # for reduce node run records, store centralized in 000000000.jsonl per node
-        self.outputs_folder = self._prepare_folder(self.path / "flow_outputs")
-        self._outputs_path = self.outputs_folder / "output.jsonl"  # dumped by executor
-        self._node_infos_folder = self._prepare_folder(self.path / "node_artifacts")
-        self._run_infos_folder = self._prepare_folder(self.path / "flow_artifacts")
+        self.outputs_folder = prepare_folder(self.path / OutputsFolderName.FLOW_OUTPUTS)
+        self._outputs_path = self.outputs_folder / OUTPUT_FILE_NAME  # dumped by executor
+        self._node_infos_folder = prepare_folder(self.path / OutputsFolderName.NODE_ARTIFACTS)
+        self._run_infos_folder = prepare_folder(self.path / OutputsFolderName.FLOW_ARTIFACTS)
         self._data_path = Path(run.data) if run.data is not None else None
 
         self._meta_path = self.path / LocalStorageFilenames.META
@@ -235,7 +239,7 @@ def _calculate_eager_mode(cls, run: Run) -> bool:
         if run._run_source == RunInfoSources.LOCAL:
             try:
                 flow_obj = load_flow(source=run.flow)
-                return isinstance(flow_obj, EagerFlow)
+                return isinstance(flow_obj, FlexFlow)
             except Exception as e:
                 # For run with incomplete flow snapshot, ignore load flow error to make sure it can still show.
                 logger.debug(f"Failed to load flow from {run.flow} due to {e}.")
@@ -379,7 +383,7 @@ def load_metrics(self, *, parse_const_as_str: bool = False) -> Dict[str, Union[i
 
     def persist_node_run(self, run_info: NodeRunInfo) -> None:
         """Persist node run record to local storage."""
-        node_folder = self._prepare_folder(self._node_infos_folder / run_info.node)
+        node_folder = prepare_folder(self._node_infos_folder / run_info.node)
         self._persist_run_multimedia(run_info, node_folder)
         node_run_record = NodeRunRecord.from_run_info(run_info)
         # for reduce nodes, the line_number is None, store the info in the 000000000.jsonl
@@ -406,7 +410,8 @@ def _load_all_node_run_info(self, parse_const_as_str: bool = False) -> List[Dict
                 new_runs = self._load_info_from_file(node_run_record_file, parse_const_as_str)
                 node_run_infos.extend(new_runs)
                 for new_run in new_runs:
-                    new_run = resolve_multimedia_data_recursively(node_run_record_file, new_run)
+                    multimedia_processor = MultimediaProcessor.create(new_run.get("message_format", ""))
+                    new_run = multimedia_processor.resolve_multimedia_data_recursively(node_run_record_file, new_run)
         return node_run_infos
 
     def load_node_run_info_for_line(self, line_number: int = None) -> List[NodeRunInfo]:
@@ -421,10 +426,11 @@ def load_node_run_info_for_line(self, line_number: int = None) -> List[NodeRunIn
                 runs = self._load_info_from_file(node_run_record_file)
                 if runs:
                     run = runs[0]
-                run = resolve_multimedia_data_recursively(node_run_record_file, run)
-                run = load_multimedia_data_recursively(run)
-                run_info = NodeRunInfo.deserialize(run)
-                node_run_infos.append(run_info)
+                    multimedia_processor = MultimediaProcessor.create(run.get("message_format", ""))
+                    run = multimedia_processor.resolve_multimedia_data_recursively(node_run_record_file, run)
+                    run = multimedia_processor.load_multimedia_data_recursively(run)
+                    run_info = NodeRunInfo.deserialize(run)
+                    node_run_infos.append(run_info)
         return node_run_infos
 
     def persist_flow_run(self, run_info: FlowRunInfo) -> None:
@@ -443,7 +449,8 @@ def _load_all_flow_run_info(self, parse_const_as_str: bool = False) -> List[Dict
             new_runs = self._load_info_from_file(line_run_record_file, parse_const_as_str)
             flow_run_infos.extend(new_runs)
             for new_run in new_runs:
-                new_run = resolve_multimedia_data_recursively(line_run_record_file, new_run)
+                multimedia_processor = MultimediaProcessor.create(new_run.get("message_format", ""))
+                new_run = multimedia_processor.resolve_multimedia_data_recursively(line_run_record_file, new_run)
         return flow_run_infos
 
     def load_flow_run_info(self, line_number: int) -> FlowRunInfo:
@@ -456,8 +463,9 @@ def load_flow_run_info(self, line_number: int) -> FlowRunInfo:
         if not run:
             return None
 
-        run = resolve_multimedia_data_recursively(self._run_infos_folder, run)
-        run = load_multimedia_data_recursively(run)
+        multimedia_processor = MultimediaProcessor.create(run.get("message_format", ""))
+        run = multimedia_processor.resolve_multimedia_data_recursively(self._run_infos_folder, run)
+        run = multimedia_processor.load_multimedia_data_recursively(run)
         run_info = FlowRunInfo.deserialize(run)
         return run_info
 
@@ -469,25 +477,22 @@ def persist_result(self, result: Optional[BatchResult]) -> None:
         self.dump_metrics(result.metrics)
 
     def _persist_run_multimedia(self, run_info: Union[FlowRunInfo, NodeRunInfo], folder_path: Path):
+        multimedia_processor = MultimediaProcessor.create(run_info.message_format)
         if run_info.inputs:
-            run_info.inputs = self._serialize_multimedia(run_info.inputs, folder_path)
+            run_info.inputs = self._serialize_multimedia(multimedia_processor, run_info.inputs, folder_path)
         if run_info.output:
-            run_info.output = self._serialize_multimedia(run_info.output, folder_path)
+            run_info.output = self._serialize_multimedia(multimedia_processor, run_info.output, folder_path)
             run_info.result = None
         if run_info.api_calls:
-            run_info.api_calls = self._serialize_multimedia(run_info.api_calls, folder_path)
+            run_info.api_calls = self._serialize_multimedia(multimedia_processor, run_info.api_calls, folder_path)
 
-    def _serialize_multimedia(self, value, folder_path: Path, relative_path: Path = None):
-        pfbytes_file_reference_encoder = get_file_reference_encoder(folder_path, relative_path, use_absolute_path=True)
+    def _serialize_multimedia(self, multimedia_processor, value, folder_path: Path, relative_path: Path = None):
+        pfbytes_file_reference_encoder = multimedia_processor.get_file_reference_encoder(
+            folder_path, relative_path, use_absolute_path=True
+        )
         serialization_funcs = {Image: partial(Image.serialize, **{"encoder": pfbytes_file_reference_encoder})}
         return serialize(value, serialization_funcs=serialization_funcs)
 
-    @staticmethod
-    def _prepare_folder(path: Union[str, Path]) -> Path:
-        path = Path(path)
-        path.mkdir(parents=True, exist_ok=True)
-        return path
-
     @staticmethod
     def _outputs_padding(df: "DataFrame", inputs_line_numbers: List[int]) -> "DataFrame":
         import pandas as pd
diff --git a/src/promptflow/promptflow/_sdk/operations/_run_operations.py b/src/promptflow-devkit/promptflow/_sdk/operations/_run_operations.py
similarity index 96%
rename from src/promptflow/promptflow/_sdk/operations/_run_operations.py
rename to src/promptflow-devkit/promptflow/_sdk/operations/_run_operations.py
index 9f81e5104ab..a00cef5a900 100644
--- a/src/promptflow/promptflow/_sdk/operations/_run_operations.py
+++ b/src/promptflow-devkit/promptflow/_sdk/operations/_run_operations.py
@@ -98,7 +98,7 @@ def create_or_update(self, run: Run, **kwargs) -> Run:
         # TODO: change to async
         stream = kwargs.pop("stream", False)
         try:
-            from promptflow._sdk._submitter import RunSubmitter
+            from promptflow._sdk._orchestrator import RunSubmitter
 
             created_run = RunSubmitter(client=self._client).submit(run=run, **kwargs)
             if stream:
@@ -118,7 +118,7 @@ def _create_by_resume_from(self, resume_from: str, **kwargs) -> Run:
         """
         logger.debug(f"Resume from {resume_from!r}, kwargs: {kwargs}")
         stream = kwargs.pop("stream", False)
-        from promptflow._sdk._submitter import RunSubmitter
+        from promptflow._sdk._orchestrator import RunSubmitter
 
         created_run = RunSubmitter(client=self._client).resume(resume_from=resume_from, **kwargs)
         if stream:
@@ -435,3 +435,15 @@ def _get_local_storage(self, run: Union[str, Run]) -> LocalStorageOperations:
         if isinstance(run, str):
             run = self.get(name=run)
         return LocalStorageOperations(run)
+
+    def _get_telemetry_values(self, *args, **kwargs):
+        activity_name = kwargs.get("activity_name", None)
+        telemetry_values = super()._get_telemetry_values(*args, **kwargs)
+        try:
+            if activity_name == "pf.runs.create_or_update":
+                run: Run = kwargs.get("run", None) or args[0]
+                telemetry_values["flow_type"] = run._flow_type
+        except Exception as e:
+            logger.error(f"Failed to get telemetry values: {str(e)}")
+
+        return telemetry_values
diff --git a/src/promptflow/promptflow/_sdk/operations/_tool_operations.py b/src/promptflow-devkit/promptflow/_sdk/operations/_tool_operations.py
similarity index 100%
rename from src/promptflow/promptflow/_sdk/operations/_tool_operations.py
rename to src/promptflow-devkit/promptflow/_sdk/operations/_tool_operations.py
diff --git a/src/promptflow-devkit/promptflow/_sdk/operations/_trace_operations.py b/src/promptflow-devkit/promptflow/_sdk/operations/_trace_operations.py
new file mode 100644
index 00000000000..3f571cb5285
--- /dev/null
+++ b/src/promptflow-devkit/promptflow/_sdk/operations/_trace_operations.py
@@ -0,0 +1,194 @@
+# ---------------------------------------------------------
+# Copyright (c) Microsoft Corporation. All rights reserved.
+# ---------------------------------------------------------
+
+import datetime
+import typing
+
+from promptflow._sdk._constants import TRACE_DEFAULT_COLLECTION
+from promptflow._sdk._orm.retry import sqlite_retry
+from promptflow._sdk._orm.session import trace_mgmt_db_session
+from promptflow._sdk._orm.trace import Event as ORMEvent
+from promptflow._sdk._orm.trace import LineRun as ORMLineRun
+from promptflow._sdk._orm.trace import Span as ORMSpan
+from promptflow._sdk._telemetry import ActivityType, monitor_operation
+from promptflow._sdk.entities._trace import Event, LineRun, Span
+from promptflow._utils.logger_utils import get_cli_sdk_logger
+from promptflow.exceptions import UserErrorException
+
+
+class TraceOperations:
+    def __init__(self):
+        self._logger = get_cli_sdk_logger()
+
+    def get_event(self, event_id: str) -> typing.Dict:
+        return Event.get(event_id=event_id)
+
+    def get_span(
+        self,
+        span_id: str,
+        trace_id: typing.Optional[str] = None,
+        lazy_load: bool = True,
+    ) -> Span:
+        orm_span = ORMSpan.get(span_id=span_id, trace_id=trace_id)
+        span = Span._from_orm_object(orm_span)
+        if not lazy_load:
+            span._load_events()
+        return span
+
+    def list_spans(
+        self,
+        trace_ids: typing.Union[str, typing.List[str]],
+        lazy_load: bool = True,
+    ) -> typing.List[Span]:
+        if isinstance(trace_ids, str):
+            trace_ids = [trace_ids]
+        orm_spans = ORMSpan.list(trace_ids=trace_ids)
+        spans = []
+        for obj in orm_spans:
+            span = Span._from_orm_object(obj)
+            if not lazy_load:
+                span._load_events()
+            spans.append(span)
+        return spans
+
+    def get_line_run(self, line_run_id: str) -> LineRun:
+        orm_line_run = ORMLineRun.get(line_run_id=line_run_id)
+        line_run = LineRun._from_orm_object(orm_line_run)
+        orm_eval_line_runs = ORMLineRun._get_children(line_run_id=line_run_id)
+        eval_line_runs = [LineRun._from_orm_object(obj) for obj in orm_eval_line_runs]
+        line_run._append_evaluations(eval_line_runs)
+        return line_run
+
+    def list_line_runs(
+        self,
+        collection: typing.Optional[str] = None,
+        runs: typing.Optional[typing.Union[str, typing.List[str]]] = None,
+        experiments: typing.Optional[typing.Union[str, typing.List[str]]] = None,
+        trace_ids: typing.Optional[typing.Union[str, typing.List[str]]] = None,
+    ) -> typing.List[LineRun]:
+        # ensure runs, experiments, and trace_ids are list of string
+        if isinstance(runs, str):
+            runs = [runs]
+        if isinstance(experiments, str):
+            experiments = [experiments]
+        if isinstance(trace_ids, str):
+            trace_ids = [trace_ids]
+
+        # currently we list parent line runs first, and query children for each
+        # this will query SQLite for N+1 times (N is the number of parent line runs)
+        # which is not efficient and is possible to optimize this
+        orm_line_runs = ORMLineRun.list(
+            collection=collection,
+            runs=runs,
+            experiments=experiments,
+            trace_ids=trace_ids,
+        )
+        line_runs = []
+        for obj in orm_line_runs:
+            line_run = LineRun._from_orm_object(obj)
+            orm_eval_line_runs = ORMLineRun._get_children(line_run_id=line_run.line_run_id)
+            eval_line_runs = [LineRun._from_orm_object(obj) for obj in orm_eval_line_runs]
+            line_run._append_evaluations(eval_line_runs)
+            line_runs.append(line_run)
+        return line_runs
+
+    @monitor_operation(activity_name="pf.traces.delete", activity_type=ActivityType.PUBLICAPI)
+    def delete(
+        self,
+        run: typing.Optional[str] = None,
+        collection: typing.Optional[str] = None,
+        started_before: typing.Optional[typing.Union[str, datetime.datetime]] = None,
+    ) -> None:
+        """Delete traces permanently.
+
+        Support delete according to:
+          - run
+          - non default collection
+          - collection combined with time as started before
+
+        Examples:
+          - pf.traces.delete(run="name")
+          - pf.traces.delete(collection="collection")
+          - pf.traces.delete(collection="default", started_before="2024-03-19T15:17:23.807563")
+
+        :param run: Name of the run.
+        :type run: Optional[str]
+        :param session: Id of the session.
+        :type session: Optional[str]
+        :param started_before: ISO 8601 format time string (e.g., "2024-03-19T15:17:23.807563").
+        :type started_before: Optional[Union[str, datetime.datetime]]
+        """
+        self._logger.debug(
+            "delete traces with parameters, run: %s, collection: %s, started_before: %s",
+            run,
+            collection,
+            started_before,
+        )
+        self._validate_delete_query_params(run=run, collection=collection, started_before=started_before)
+        self._logger.debug("try to delete line run(s)...")
+        if isinstance(started_before, str):
+            started_before = datetime.datetime.fromisoformat(started_before)
+        self._delete_within_transaction(run=run, collection=collection, started_before=started_before)
+
+    def _validate_delete_query_params(
+        self,
+        run: typing.Optional[str] = None,
+        collection: typing.Optional[str] = None,
+        started_before: typing.Optional[typing.Union[str, datetime.datetime]] = None,
+    ) -> None:
+        # valid delete queries:
+        #   1. run=xxx
+        #   2. collection=yyy
+        #   3. collection=zz, started_before=zz
+        # this function will directly return for valid cases
+        if run is not None and collection is None and started_before is None:
+            return
+        if collection is not None and run is None:
+            if started_before is not None:
+                # if `started_before` is a time string, need to ensure it's in valid ISO 8601 format
+                if isinstance(started_before, str):
+                    try:
+                        datetime.datetime.fromisoformat(started_before)
+                        return
+                    except ValueError:
+                        pass
+                elif isinstance(started_before, datetime.datetime):
+                    return
+            elif collection != TRACE_DEFAULT_COLLECTION:
+                return
+        error_message = (
+            'Valid delete queries: 1) specify `run`; 2) specify `collection` (not "default"); '
+            "3) specify `collection` and `started_before` (ISO 8601)."
+        )
+        raise UserErrorException(error_message)
+
+    @sqlite_retry
+    def _delete_within_transaction(
+        self,
+        run: typing.Optional[str] = None,
+        collection: typing.Optional[str] = None,
+        started_before: typing.Optional[datetime.datetime] = None,
+    ) -> None:
+        # delete will occur across 3 tables: line_runs, spans and events
+        # which be done in a transaction
+        from sqlalchemy.orm import Query
+
+        with trace_mgmt_db_session() as session:
+            # query line run first to get all trace ids
+            query: Query = session.query(ORMLineRun)
+            if run is not None:
+                query = query.filter(ORMLineRun.run == run)
+            if collection is not None:
+                query = query.filter(ORMLineRun.collection == collection)
+            if started_before is not None:
+                query = query.filter(ORMLineRun.start_time < started_before)
+            trace_ids = [line_run.trace_id for line_run in query.all()]
+            self._logger.debug("try to delete traces for trace_ids: %s", trace_ids)
+            # deletes happen
+            event_cnt = session.query(ORMEvent).filter(ORMEvent.trace_id.in_(trace_ids)).delete()
+            span_cnt = session.query(ORMSpan).filter(ORMSpan.trace_id.in_(trace_ids)).delete()
+            line_run_cnt = query.delete()
+            session.commit()
+
+        self._logger.debug("deleted %d line runs, %d spans, and %d events", line_run_cnt, span_cnt, event_cnt)
diff --git a/src/promptflow-devkit/promptflow/_sdk/schemas/__init__.py b/src/promptflow-devkit/promptflow/_sdk/schemas/__init__.py
new file mode 100644
index 00000000000..29a4fcd3278
--- /dev/null
+++ b/src/promptflow-devkit/promptflow/_sdk/schemas/__init__.py
@@ -0,0 +1,5 @@
+# ---------------------------------------------------------
+# Copyright (c) Microsoft Corporation. All rights reserved.
+# ---------------------------------------------------------
+
+__path__ = __import__("pkgutil").extend_path(__path__, __name__)  # type: ignore
diff --git a/src/promptflow/promptflow/_sdk/schemas/_base.py b/src/promptflow-devkit/promptflow/_sdk/schemas/_base.py
similarity index 100%
rename from src/promptflow/promptflow/_sdk/schemas/_base.py
rename to src/promptflow-devkit/promptflow/_sdk/schemas/_base.py
diff --git a/src/promptflow/promptflow/_sdk/schemas/_connection.py b/src/promptflow-devkit/promptflow/_sdk/schemas/_connection.py
similarity index 96%
rename from src/promptflow/promptflow/_sdk/schemas/_connection.py
rename to src/promptflow-devkit/promptflow/_sdk/schemas/_connection.py
index ce5a3325b0d..15f7babd9e0 100644
--- a/src/promptflow/promptflow/_sdk/schemas/_connection.py
+++ b/src/promptflow-devkit/promptflow/_sdk/schemas/_connection.py
@@ -5,13 +5,8 @@
 
 from marshmallow import ValidationError, fields, post_load, pre_dump, validates
 
-from promptflow._sdk._constants import (
-    SCHEMA_KEYS_CONTEXT_CONFIG_KEY,
-    SCHEMA_KEYS_CONTEXT_SECRET_KEY,
-    ConnectionAuthMode,
-    ConnectionType,
-    CustomStrongTypeConnectionConfigs,
-)
+from promptflow._constants import ConnectionAuthMode, ConnectionType, CustomStrongTypeConnectionConfigs
+from promptflow._sdk._constants import SCHEMA_KEYS_CONTEXT_CONFIG_KEY, SCHEMA_KEYS_CONTEXT_SECRET_KEY
 from promptflow._sdk.schemas._base import YamlFileSchema
 from promptflow._sdk.schemas._fields import StringTransformedEnum
 from promptflow._utils.utils import camel_to_snake
diff --git a/src/promptflow/promptflow/_sdk/schemas/_experiment.py b/src/promptflow-devkit/promptflow/_sdk/schemas/_experiment.py
similarity index 71%
rename from src/promptflow/promptflow/_sdk/schemas/_experiment.py
rename to src/promptflow-devkit/promptflow/_sdk/schemas/_experiment.py
index ade762a7b00..e74a3d41d8f 100644
--- a/src/promptflow/promptflow/_sdk/schemas/_experiment.py
+++ b/src/promptflow-devkit/promptflow/_sdk/schemas/_experiment.py
@@ -1,7 +1,7 @@
 # ---------------------------------------------------------
 # Copyright (c) Microsoft Corporation. All rights reserved.
 # ---------------------------------------------------------
-from marshmallow import fields, post_load, pre_load
+from marshmallow import ValidationError, fields, post_load, pre_load
 
 from promptflow._sdk._constants import ExperimentNodeType
 from promptflow._sdk.schemas._base import PatchedSchemaMeta, YamlFileSchema
@@ -44,6 +44,44 @@ def warning_unknown_fields(self, data, **kwargs):
         return data
 
 
+class ChatRoleSchema(YamlFileSchema):
+    """Schema for chat role."""
+
+    role = fields.Str(required=True)
+    path = UnionField([LocalPathField(required=True), fields.Str(required=True)])
+    inputs = fields.Dict(keys=fields.Str)
+
+
+class ChatGroupSchema(YamlFileSchema):
+    """Schema for chat group."""
+
+    name = fields.Str(required=True)
+    type = StringTransformedEnum(allowed_values=ExperimentNodeType.CHAT_GROUP, required=True)
+    max_turns = fields.Int()
+    max_tokens = fields.Int()
+    max_time = fields.Int()
+    stop_signal = fields.Str()
+    roles = fields.List(NestedField(ChatRoleSchema))
+    code = LocalPathField()  # points to a folder in which the chat group is defined
+
+    @post_load
+    def _validate_roles(self, data, **kwargs):
+        from collections import Counter
+
+        roles = data.get("roles", [])
+        if not roles:
+            raise ValidationError("Chat group should have at least one role.")
+
+        # check if there is duplicate role name
+        role_names = [role["role"] for role in roles]
+        if len(role_names) != len(set(role_names)):
+            counter = Counter(role_names)
+            duplicate_roles = [role for role in counter if counter[role] > 1]
+            raise ValidationError(f"Duplicate roles are not allowed: {duplicate_roles!r}.")
+
+        return data
+
+
 class ExperimentDataSchema(metaclass=PatchedSchemaMeta):
     name = fields.Str(required=True)
     path = LocalPathField(required=True)
@@ -64,6 +102,7 @@ class ExperimentTemplateSchema(YamlFileSchema):
             [
                 NestedField(CommandNodeSchema),
                 NestedField(FlowNodeSchema),
+                NestedField(ChatGroupSchema),
             ]
         ),
         required=True,
@@ -71,7 +110,7 @@ class ExperimentTemplateSchema(YamlFileSchema):
 
     @post_load
     def resolve_nodes(self, data, **kwargs):
-        from promptflow._sdk.entities._experiment import CommandNode, FlowNode
+        from promptflow._sdk.entities._experiment import ChatGroupNode, CommandNode, FlowNode
 
         nodes = data.get("nodes", [])
         resolved_nodes = []
@@ -85,6 +124,10 @@ def resolve_nodes(self, data, **kwargs):
                 resolved_nodes.append(
                     CommandNode._load_from_dict(data=node, context=self.context, additional_message="")
                 )
+            elif node_type == ExperimentNodeType.CHAT_GROUP:
+                resolved_nodes.append(
+                    ChatGroupNode._load_from_dict(data=node, context=self.context, additional_message="")
+                )
             else:
                 raise ValueError(f"Unknown node type {node_type} for node {node}.")
         data["nodes"] = resolved_nodes
diff --git a/src/promptflow/promptflow/_sdk/schemas/_fields.py b/src/promptflow-devkit/promptflow/_sdk/schemas/_fields.py
similarity index 100%
rename from src/promptflow/promptflow/_sdk/schemas/_fields.py
rename to src/promptflow-devkit/promptflow/_sdk/schemas/_fields.py
diff --git a/src/promptflow/promptflow/_sdk/schemas/_flow.py b/src/promptflow-devkit/promptflow/_sdk/schemas/_flow.py
similarity index 80%
rename from src/promptflow/promptflow/_sdk/schemas/_flow.py
rename to src/promptflow-devkit/promptflow/_sdk/schemas/_flow.py
index 4bafba06c98..06be3cecd9f 100644
--- a/src/promptflow/promptflow/_sdk/schemas/_flow.py
+++ b/src/promptflow-devkit/promptflow/_sdk/schemas/_flow.py
@@ -5,7 +5,7 @@
 
 from marshmallow import ValidationError, fields, validate, validates_schema
 
-from promptflow._constants import LANGUAGE_KEY, FlowLanguage
+from promptflow._constants import LANGUAGE_KEY, FlowEntryRegex, FlowLanguage
 from promptflow._sdk._constants import FlowType
 from promptflow._sdk.schemas._base import PatchedSchemaMeta, YamlFileSchema
 from promptflow._sdk.schemas._fields import NestedField
@@ -60,20 +60,6 @@ class FlowSchema(BaseFlowSchema):
     node_variants = fields.Dict(keys=fields.Str(), values=fields.Dict())
 
 
-class PythonEagerFlowEntry(fields.Str):
-    """Entry point for eager flow. For example: pkg.module:func"""
-
-    default_error_messages = {
-        "invalid_entry": "Provided entry {entry} has incorrect format. "
-        "Python eager flow only support pkg.module:func format.",
-    }
-
-    def _validate(self, value):
-        super()._validate(value)
-        if not re.match(r"^[a-zA-Z0-9_.]+:[a-zA-Z0-9_]+$", value):
-            raise self.make_error("invalid_entry", entry=value)
-
-
 class EagerFlowSchema(BaseFlowSchema):
     """Schema for eager flow."""
 
@@ -86,9 +72,9 @@ def validate_entry(self, data, **kwargs):
         language = data.get(LANGUAGE_KEY, FlowLanguage.Python)
         entry_regex = None
         if language == FlowLanguage.CSharp:
-            entry_regex = r"\((.+)\)[a-zA-Z0-9]+(\.[a-zA-Z0-9]+)+"
+            entry_regex = FlowEntryRegex.CSharp
         elif language == FlowLanguage.Python:
-            entry_regex = r"^[a-zA-Z0-9_.]+:[a-zA-Z0-9_]+$"
+            entry_regex = FlowEntryRegex.Python
 
         if entry_regex is not None and not re.match(entry_regex, data["entry"]):
             raise ValidationError(field_name="entry", message=f"Entry function {data['entry']} is not valid.")
diff --git a/src/promptflow/promptflow/_sdk/schemas/_run.py b/src/promptflow-devkit/promptflow/_sdk/schemas/_run.py
similarity index 99%
rename from src/promptflow/promptflow/_sdk/schemas/_run.py
rename to src/promptflow-devkit/promptflow/_sdk/schemas/_run.py
index bf7e869ee30..7f339eba155 100644
--- a/src/promptflow/promptflow/_sdk/schemas/_run.py
+++ b/src/promptflow-devkit/promptflow/_sdk/schemas/_run.py
@@ -132,6 +132,8 @@ class RunSchema(YamlFileSchema):
     outputs = fields.Dict(key=fields.Str(), dump_only=True)
     # endregion: command node
 
+    init = fields.Dict(key=fields.Str())
+
     @post_load
     def resolve_dot_env_file(self, data, **kwargs):
         return _resolve_dot_env_file(data, **kwargs)
diff --git a/src/promptflow/promptflow/tracing/_constants.py b/src/promptflow-devkit/promptflow/_version.py
similarity index 75%
rename from src/promptflow/promptflow/tracing/_constants.py
rename to src/promptflow-devkit/promptflow/_version.py
index 16538927ae4..68ee238ac5d 100644
--- a/src/promptflow/promptflow/tracing/_constants.py
+++ b/src/promptflow-devkit/promptflow/_version.py
@@ -2,4 +2,4 @@
 # Copyright (c) Microsoft Corporation. All rights reserved.
 # ---------------------------------------------------------
 
-PF_TRACING_SKIP_LOCAL_SETUP = "PF_TRACING_SKIP_LOCAL_SETUP"
+VERSION = "0.0.1"
diff --git a/src/promptflow/promptflow/batch/__init__.py b/src/promptflow-devkit/promptflow/batch/__init__.py
similarity index 51%
rename from src/promptflow/promptflow/batch/__init__.py
rename to src/promptflow-devkit/promptflow/batch/__init__.py
index 745a2d2f381..d28739ab43c 100644
--- a/src/promptflow/promptflow/batch/__init__.py
+++ b/src/promptflow-devkit/promptflow/batch/__init__.py
@@ -3,17 +3,10 @@
 # ---------------------------------------------------------
 
 # flake8: noqa
-from ._base_executor_proxy import AbstractExecutorProxy, APIBasedExecutorProxy
 from ._batch_engine import BatchEngine
-from ._csharp_executor_proxy import CSharpExecutorProxy
-from ._python_executor_proxy import PythonExecutorProxy
 from ._result import BatchResult
 
 __all__ = [
-    "AbstractExecutorProxy",
-    "APIBasedExecutorProxy",
     "BatchEngine",
-    "CSharpExecutorProxy",
-    "PythonExecutorProxy",
     "BatchResult",
 ]
diff --git a/src/promptflow/promptflow/batch/_batch_engine.py b/src/promptflow-devkit/promptflow/batch/_batch_engine.py
similarity index 68%
rename from src/promptflow/promptflow/batch/_batch_engine.py
rename to src/promptflow-devkit/promptflow/batch/_batch_engine.py
index a4c39412210..f0537e08449 100644
--- a/src/promptflow/promptflow/batch/_batch_engine.py
+++ b/src/promptflow-devkit/promptflow/batch/_batch_engine.py
@@ -5,13 +5,22 @@
 import signal
 import threading
 import uuid
+from copy import deepcopy
 from datetime import datetime
 from pathlib import Path
-from typing import Any, Dict, List, Mapping, Optional
-
-from promptflow._constants import LANGUAGE_KEY, LINE_NUMBER_KEY, LINE_TIMEOUT_SEC, FlowLanguage
+from typing import Any, Dict, List, Mapping, Optional, Type
+
+from promptflow._constants import (
+    LANGUAGE_KEY,
+    LINE_NUMBER_KEY,
+    LINE_TIMEOUT_SEC,
+    OUTPUT_FILE_NAME,
+    FlowLanguage,
+    MessageFormatType,
+)
 from promptflow._core._errors import ResumeCopyError, UnexpectedError
-from promptflow._core.operation_context import OperationContext
+from promptflow._proxy import AbstractExecutorProxy, ProxyFactory
+from promptflow._proxy._python_executor_proxy import PythonExecutorProxy
 from promptflow._utils.async_utils import async_run_allowing_running_loop
 from promptflow._utils.context_utils import _change_working_dir
 from promptflow._utils.execution_utils import (
@@ -20,58 +29,49 @@
     extract_aggregation_inputs,
     get_aggregation_inputs_properties,
     handle_line_failures,
+    set_batch_input_source_from_inputs_mapping,
 )
+from promptflow._utils.flow_utils import is_flex_flow
 from promptflow._utils.logger_utils import bulk_logger
+from promptflow._utils.multimedia_utils import MultimediaProcessor
 from promptflow._utils.utils import (
-    copy_file_except,
     dump_list_to_jsonl,
     get_int_env_var,
-    load_list_from_jsonl,
     log_progress,
     resolve_dir_to_absolute,
     transpose,
 )
 from promptflow._utils.yaml_utils import load_yaml
-from promptflow.batch._base_executor_proxy import AbstractExecutorProxy
 from promptflow.batch._batch_inputs_processor import BatchInputsProcessor
-from promptflow.batch._csharp_executor_proxy import CSharpExecutorProxy
 from promptflow.batch._errors import BatchRunTimeoutError
-from promptflow.batch._python_executor_proxy import PythonExecutorProxy
 from promptflow.batch._result import BatchResult
 from promptflow.contracts.flow import Flow
-from promptflow.contracts.run_info import Status
+from promptflow.contracts.run_info import FlowRunInfo, Status
 from promptflow.exceptions import ErrorTarget, PromptflowException
 from promptflow.executor._line_execution_process_pool import signal_handler
 from promptflow.executor._result import AggregationResult, LineResult
 from promptflow.executor.flow_validator import FlowValidator
 from promptflow.storage import AbstractBatchRunStorage, AbstractRunStorage
+from promptflow.storage._run_storage import DefaultRunStorage
 
-OUTPUT_FILE_NAME = "output.jsonl"
 DEFAULT_CONCURRENCY = 10
 
 
 class BatchEngine:
     """This class is used to execute flows in batch mode"""
 
-    executor_proxy_classes: Mapping[str, AbstractExecutorProxy] = {
-        FlowLanguage.Python: PythonExecutorProxy,
-        FlowLanguage.CSharp: CSharpExecutorProxy,
-    }
-
     @classmethod
-    def register_executor(cls, type: str, executor_proxy_cls: AbstractExecutorProxy):
+    def register_executor(cls, language: str, executor_proxy_cls: Type[AbstractExecutorProxy]):
         """Register a executor proxy class for a specific program language.
 
-        This method allows users to register a executor proxy class for a particular
-        programming language. The executor proxy class will be used when creating an instance
-        of the BatchEngine for flows written in the specified language.
-
-        :param type: The flow program language of the executor proxy,
-        :type type: str
-        :param executor_proxy_cls: The executor proxy class to be registered.
-        :type executor_proxy_cls:  ~promptflow.batch.AbstractExecutorProxy
+        this function is left to keep the compatibility with the old version promptflow-runtime; it will
+        redirect the registration to the ExecutorProxyFactory.
         """
-        cls.executor_proxy_classes[type] = executor_proxy_cls
+        # TODO: remove this after we migrate to multi-container
+        ProxyFactory.register_executor(
+            language=language,
+            executor_proxy_cls=executor_proxy_cls,
+        )
 
     def __init__(
         self,
@@ -83,6 +83,7 @@ def __init__(
         batch_timeout_sec: Optional[int] = None,
         line_timeout_sec: Optional[int] = None,
         worker_count: Optional[int] = None,
+        init_kwargs: Optional[Dict[str, Any]] = None,
         **kwargs,
     ):
         """Create a new batch engine instance
@@ -101,6 +102,8 @@ def __init__(
         :type line_timeout: Optional[int]
         :param worker_count: The concurrency limit of batch run
         :type worker_count: Optional[int]
+        :param init_kwargs: Class init arguments for callable class, only supported for flex flow.
+        :type init_kwargs: Optional[Dict[str, Any]]
         :param kwargs: The keyword arguments related to creating the executor proxy class
         :type kwargs: Any
         """
@@ -114,16 +117,28 @@ def __init__(
             self._flow = Flow.from_yaml(flow_file, working_dir=self._working_dir)
             FlowValidator.ensure_flow_valid_in_batch_mode(self._flow)
 
+        # eager flow does not support multimedia contract currently, just use basic format type.
+        self._message_format = self._flow.message_format if not self._is_eager_flow else MessageFormatType.BASIC
+        self._multimedia_processor = MultimediaProcessor.create(self._message_format)
+
         self._connections = connections
-        self._storage = storage
+        self._storage = storage if storage else DefaultRunStorage(base_dir=self._working_dir)
         self._kwargs = kwargs
 
         self._batch_timeout_sec = batch_timeout_sec or get_int_env_var("PF_BATCH_TIMEOUT_SEC")
         self._line_timeout_sec = line_timeout_sec or get_int_env_var("PF_LINE_TIMEOUT_SEC", LINE_TIMEOUT_SEC)
         self._worker_count = worker_count or get_int_env_var("PF_WORKER_COUNT")
+        # update kwargs with worker_count and line_timeout_sec
+        self._kwargs.update(
+            {
+                "worker_count": self._worker_count,
+                "line_timeout_sec": self._line_timeout_sec,
+            }
+        )
 
         # set it to True when the batch run is canceled
         self._is_canceled = False
+        self._init_kwargs = init_kwargs
 
     def run(
         self,
@@ -163,13 +178,13 @@ def run(
             self._start_time = datetime.utcnow()
             with _change_working_dir(self._working_dir):
                 # create executor proxy instance according to the flow program language
-                executor_proxy_cls = self.executor_proxy_classes[self._program_language]
-                self._executor_proxy: AbstractExecutorProxy = async_run_allowing_running_loop(
-                    executor_proxy_cls.create,
-                    self._flow_file,
-                    self._working_dir,
+                self._executor_proxy = ProxyFactory().create_executor_proxy(
+                    flow_file=self._flow_file,
+                    working_dir=self._working_dir,
                     connections=self._connections,
                     storage=self._storage,
+                    language=self._program_language,
+                    init_kwargs=self._init_kwargs,
                     **self._kwargs,
                 )
                 try:
@@ -186,19 +201,23 @@ def run(
                             )
 
                     # set batch input source from input mapping
-                    OperationContext.get_instance().set_batch_input_source_from_inputs_mapping(inputs_mapping)
+                    set_batch_input_source_from_inputs_mapping(inputs_mapping)
                     # if using eager flow, the self._flow is none, so we need to get inputs definition from executor
                     inputs = self._executor_proxy.get_inputs_definition() if self._is_eager_flow else self._flow.inputs
+
                     # resolve input data from input dirs and apply inputs mapping
-                    batch_input_processor = BatchInputsProcessor(self._working_dir, inputs, max_lines_count)
+                    batch_input_processor = BatchInputsProcessor(
+                        self._working_dir, inputs, max_lines_count, message_format=self._message_format
+                    )
                     batch_inputs = batch_input_processor.process_batch_inputs(input_dirs, inputs_mapping)
                     # resolve output dir
                     output_dir = resolve_dir_to_absolute(self._working_dir, output_dir)
 
+                    run_id = run_id or str(uuid.uuid4())
                     previous_run_results = None
-                    if resume_from_run_storage and resume_from_run_output_dir:
+                    if resume_from_run_storage:
                         previous_run_results = self._copy_previous_run_result(
-                            resume_from_run_storage, resume_from_run_output_dir, batch_inputs, output_dir
+                            resume_from_run_storage, batch_inputs, output_dir, run_id
                         )
 
                     # run flow in batch mode
@@ -230,31 +249,43 @@ def run(
     def _copy_previous_run_result(
         self,
         resume_from_run_storage: AbstractBatchRunStorage,
-        resume_from_run_output_dir: Path,
         batch_inputs: List,
         output_dir: Path,
+        run_id: str,
     ) -> List[LineResult]:
-        """Duplicate the previous debug_info from resume_from_run_storage and output from resume_from_run_output_dir
-        to the storage of new run,
+        """Duplicate the previous debug_info from resume_from_run_storage to the storage of new run,
         return the list of previous line results for the usage of aggregation and summarization.
         """
-        # Load the previous flow run output from output.jsonl
-        previous_run_output = load_list_from_jsonl(resume_from_run_output_dir / "output.jsonl")
-        previous_run_output_dict = {
-            each_line_output[LINE_NUMBER_KEY]: each_line_output for each_line_output in previous_run_output
-        }
-
-        # Copy other files from resume_from_run_output_dir to output_dir in case there are images
-        copy_file_except(resume_from_run_output_dir, output_dir, "output.jsonl")
-
         try:
             previous_run_results = []
+            aggregation_nodes = {node.name for node in self._flow.nodes if node.aggregation}
             for i in range(len(batch_inputs)):
-                previous_run_info = resume_from_run_storage.load_flow_run_info(i)
+                previous_run_info: FlowRunInfo = resume_from_run_storage.load_flow_run_info(i)
 
                 if previous_run_info and previous_run_info.status == Status.Completed:
+                    # UI uses root_run_id  to link the base path in datastore with the run_info of line.
+                    # Thus the root_run_id needs to be the current batch run id.
+                    previous_run_info.root_run_id = run_id
+                    previous_run_info.parent_run_id = run_id
+
                     # Load previous node run info
                     previous_node_run_infos = resume_from_run_storage.load_node_run_info_for_line(i)
+
+                    # In storage, aggregation nodes are persisted with filenames similar to regular nodes.
+                    # Currently we read regular node run records by filename in the node artifacts folder,
+                    # which may lead to load records of aggregation nodes at the same time, which is not intended.
+                    # E.g, aggregation-node/000000000.jsonl will be treated as the node_run_info of the first line:
+                    # node_artifacts/
+                    # ├─ non-aggregation-node/
+                    # │  ├─ 000000000.jsonl
+                    # │  ├─ 000000001.jsonl
+                    # │  ├─ 000000002.jsonl
+                    # ├─ aggregation-node/
+                    # │  ├─ 000000000.jsonl
+                    # So we filter out aggregation nodes since line records should not contain any info about them.
+                    previous_node_run_infos = [
+                        run_info for run_info in previous_node_run_infos if run_info.node not in aggregation_nodes
+                    ]
                     previous_node_run_infos_dict = {node_run.node: node_run for node_run in previous_node_run_infos}
                     previous_node_run_outputs = {
                         node_info.node: node_info.output for node_info in previous_node_run_infos
@@ -263,6 +294,12 @@ def _copy_previous_run_result(
                     # Extract aggregation inputs for flow with aggregation node
                     aggregation_inputs = extract_aggregation_inputs(self._flow, previous_node_run_outputs)
 
+                    # Deepcopy to avoid modifying the original object when serializing image
+                    previous_run_output = deepcopy(previous_run_info.output)
+                    previous_run_output_in_line_result = self._multimedia_processor.persist_multimedia_data(
+                        previous_run_output, output_dir
+                    )
+
                     # Persist previous run info and node run info
                     self._storage.persist_flow_run(previous_run_info)
                     for node_run_info in previous_node_run_infos:
@@ -270,7 +307,7 @@ def _copy_previous_run_result(
 
                     # Create LineResult object for previous line result
                     previous_line_result = LineResult(
-                        output=previous_run_output_dict[i],
+                        output=previous_run_output_in_line_result,
                         aggregation_inputs=aggregation_inputs,
                         run_info=previous_run_info,
                         node_run_infos=previous_node_run_infos_dict,
@@ -303,10 +340,17 @@ async def _exec_in_task(
         # so we pass empty line results list and aggr results and update them in _exec so that when the batch
         # run is canceled we can get the current completed line results and aggr results.
         line_results: List[LineResult] = []
-        line_results.extend(previous_line_results or [])
         aggr_result = AggregationResult({}, {}, {})
         task = asyncio.create_task(
-            self._exec(line_results, aggr_result, batch_inputs, run_id, output_dir, raise_on_line_failure)
+            self._exec(
+                batch_inputs,
+                run_id,
+                output_dir,
+                raise_on_line_failure,
+                previous_line_results,
+                line_results,
+                aggr_result,
+            )
         )
         while not task.done():
             # check whether the task is completed or canceled every 1s
@@ -317,17 +361,52 @@ async def _exec_in_task(
                 return BatchResult.create(
                     self._start_time, datetime.utcnow(), line_results, aggr_result, status=Status.Canceled
                 )
+            if self._batch_timeout_expired():
+                task.cancel()
+                ex = BatchRunTimeoutError(
+                    message_format=(
+                        "The batch run failed due to timeout [{batch_timeout_sec}s]. "
+                        "Please adjust the timeout to a higher value."
+                    ),
+                    batch_timeout_sec=self._batch_timeout_sec,
+                    target=ErrorTarget.BATCH,
+                )
+                # summary some infos from line results and aggr results to batch result
+                return BatchResult.create(self._start_time, datetime.utcnow(), line_results, aggr_result, exception=ex)
         return task.result()
 
     async def _exec(
         self,
-        line_results: List[LineResult],
-        aggr_result: AggregationResult,
         batch_inputs: List[Dict[str, Any]],
         run_id: str = None,
         output_dir: Path = None,
         raise_on_line_failure: bool = False,
+        previous_line_results: List[LineResult] = None,
+        line_results: List[LineResult] = [],
+        aggr_result: AggregationResult = AggregationResult({}, {}, {}),
     ) -> BatchResult:
+        """
+        Asynchronously execute batch processing of inputs with potential resumption from previous results,
+        and aggregate outputs accordingly. Empty list `line_results` and `aggr_result` is passed to ensure
+        their current state can be retrieved when batch run is canceled.
+
+        :param batch_inputs: A list of dictionaries representing the inputs for all lines of the batch.
+        :type batch_inputs: List[Mapping[str, Any]]
+        :param run_id: An optional unique identifier for the run. If not provided, a new UUID will be generated.
+        :type run_id: Optional[str]
+        :param output_dir: An optional path to a directory where outputs will be persisted.
+        :type output_dir: Optional[Path]
+        :param raise_on_line_failure: A flag indicating whether to raise an exception on individual line failures.
+        :type raise_on_line_failure: bool
+        :param previous_line_results: An optional list of previous line results to resume from.
+        :type previous_line_results: Optional[List[~promptflow.executor._result.LineResult]]
+        :param line_results: An output parameter to be populated with the results of processing all lines in the batch.
+        :type line_results: List[~promptflow.executor._result.LineResult]
+        :param aggr_result: An output parameter to be populated with the aggregated results of all lines in the batch.
+        :type aggr_result: ~promptflow.executor._result.AggregationResult
+        :return: A `BatchResult` object containing information about the execution of the batch.
+        :rtype: ~promptflow.batch._result.BatchResult
+        """
         # ensure executor health before execution
         await self._executor_proxy.ensure_executor_health()
         # apply default value in early stage, so we can use it both in line and aggregation nodes execution.
@@ -337,16 +416,23 @@ async def _exec(
                 apply_default_value_for_input(self._flow.inputs, each_line_input) for each_line_input in batch_inputs
             ]
 
-        existing_results_line_numbers = set([r.run_info.index for r in line_results])
-        bulk_logger.info(f"Skipped the execution of {len(existing_results_line_numbers)} existing results.")
-        inputs_to_run = [input for input in batch_inputs if input[LINE_NUMBER_KEY] not in existing_results_line_numbers]
+        # if there are existing results resumed from previous run, we should skip the execution of these lines
+        if previous_line_results:
+            line_results.extend(previous_line_results)
+            existing_results_line_numbers = set([r.run_info.index for r in previous_line_results])
+            bulk_logger.info(f"Skipped the execution of {len(existing_results_line_numbers)} existing results.")
+            inputs_to_run = [
+                input for input in batch_inputs if input[LINE_NUMBER_KEY] not in existing_results_line_numbers
+            ]
+        else:
+            inputs_to_run = batch_inputs
 
         run_id = run_id or str(uuid.uuid4())
 
         # execute lines
         is_timeout = False
         if isinstance(self._executor_proxy, PythonExecutorProxy):
-            results, is_timeout = self._executor_proxy._exec_batch(
+            results, is_timeout = await self._executor_proxy._exec_batch(
                 inputs_to_run,
                 output_dir,
                 run_id,
@@ -377,7 +463,11 @@ async def _exec(
             self._update_aggr_result(aggr_result, aggr_exec_result)
         else:
             ex = BatchRunTimeoutError(
-                message="The batch run failed due to timeout. Please adjust the timeout settings to a higher value.",
+                message_format=(
+                    "The batch run failed due to timeout [{batch_timeout_sec}s]. "
+                    "Please adjust the timeout to a higher value."
+                ),
+                batch_timeout_sec=self._batch_timeout_sec,
                 target=ErrorTarget.BATCH,
             )
         # summary some infos from line results and aggr results to batch result
@@ -398,19 +488,22 @@ async def _exec_batch(
 
         total_lines = len(batch_inputs)
         completed_line = 0
+        last_log_count = 0
         while completed_line < total_lines:
+            # wait for any task to complete
             done, pending = await asyncio.wait(pending, return_when=asyncio.FIRST_COMPLETED)
             completed_line_results = [task.result() for task in done]
+            # persist node run infos and flow run info in line result to storage
             self._persist_run_info(completed_line_results)
             line_results.extend(completed_line_results)
-            log_progress(
-                self._start_time,
-                bulk_logger,
-                len(line_results),
-                total_lines,
-                last_log_count=completed_line,
-            )
+            # update the progress log
             completed_line = len(line_results)
+            last_log_count = log_progress(
+                run_start_time=self._start_time,
+                total_count=total_lines,
+                current_count=completed_line,
+                last_log_count=last_log_count,
+            )
 
     async def _exec_line_under_semaphore(
         self,
@@ -500,6 +593,11 @@ def _check_eager_flow_and_language_from_yaml(self):
             return True, FlowLanguage.CSharp
         with open(flow_file, "r", encoding="utf-8") as fin:
             flow_dag = load_yaml(fin)
-        is_eager_flow = "entry" in flow_dag
         language = flow_dag.get(LANGUAGE_KEY, FlowLanguage.Python)
-        return is_eager_flow, language
+        return is_flex_flow(yaml_dict=flow_dag), language
+
+    def _batch_timeout_expired(self) -> bool:
+        # Currently, local PythonExecutorProxy will handle the batch timeout by itself.
+        if self._batch_timeout_sec is None or isinstance(self._executor_proxy, PythonExecutorProxy):
+            return False
+        return (datetime.utcnow() - self._start_time).total_seconds() > self._batch_timeout_sec
diff --git a/src/promptflow/promptflow/batch/_batch_inputs_processor.py b/src/promptflow-devkit/promptflow/batch/_batch_inputs_processor.py
similarity index 95%
rename from src/promptflow/promptflow/batch/_batch_inputs_processor.py
rename to src/promptflow-devkit/promptflow/batch/_batch_inputs_processor.py
index 523ee651ba1..a38840c5c31 100644
--- a/src/promptflow/promptflow/batch/_batch_inputs_processor.py
+++ b/src/promptflow-devkit/promptflow/batch/_batch_inputs_processor.py
@@ -5,12 +5,12 @@
 from pathlib import Path
 from typing import Any, Dict, List, Mapping, Optional
 
-from promptflow._constants import LINE_NUMBER_KEY
+from promptflow._constants import LINE_NUMBER_KEY, MessageFormatType
 from promptflow._core._errors import UnexpectedError
 from promptflow._utils.inputs_mapping_utils import apply_inputs_mapping
 from promptflow._utils.load_data import load_data
 from promptflow._utils.logger_utils import logger
-from promptflow._utils.multimedia_utils import resolve_multimedia_data_recursively
+from promptflow._utils.multimedia_utils import MultimediaProcessor
 from promptflow._utils.utils import resolve_dir_to_absolute
 from promptflow.batch._errors import EmptyInputsData, InputMappingError
 from promptflow.contracts.flow import FlowInputDefinition
@@ -22,11 +22,13 @@ def __init__(
         working_dir: Path,
         flow_inputs: Mapping[str, FlowInputDefinition],
         max_lines_count: Optional[int] = None,
+        message_format: str = MessageFormatType.BASIC,
     ):
         self._working_dir = working_dir
         self._max_lines_count = max_lines_count
         self._flow_inputs = flow_inputs
         self._default_inputs_mapping = {key: f"${{data.{key}}}" for key in flow_inputs}
+        self._multimedia_processor = MultimediaProcessor.create(message_format)
 
     def process_batch_inputs(self, input_dirs: Dict[str, str], inputs_mapping: Dict[str, str]):
         input_dicts = self._resolve_input_data(input_dirs)
@@ -53,7 +55,7 @@ def _resolve_data_from_input_path(self, input_path: Path):
         result = []
         if input_path.is_file():
             result.extend(
-                resolve_multimedia_data_recursively(
+                self._multimedia_processor.resolve_multimedia_data_recursively(
                     input_path.parent, load_data(local_path=input_path, max_rows_count=self._max_lines_count)
                 )
             )
@@ -61,7 +63,7 @@ def _resolve_data_from_input_path(self, input_path: Path):
             for input_file in input_path.rglob("*"):
                 if input_file.is_file():
                     result.extend(
-                        resolve_multimedia_data_recursively(
+                        self._multimedia_processor.resolve_multimedia_data_recursively(
                             input_file.parent, load_data(local_path=input_file, max_rows_count=self._max_lines_count)
                         )
                     )
diff --git a/src/promptflow/promptflow/batch/_errors.py b/src/promptflow-devkit/promptflow/batch/_errors.py
similarity index 100%
rename from src/promptflow/promptflow/batch/_errors.py
rename to src/promptflow-devkit/promptflow/batch/_errors.py
diff --git a/src/promptflow/promptflow/batch/_result.py b/src/promptflow-devkit/promptflow/batch/_result.py
similarity index 98%
rename from src/promptflow/promptflow/batch/_result.py
rename to src/promptflow-devkit/promptflow/batch/_result.py
index 1569fb59b5d..e0c721e5cab 100644
--- a/src/promptflow/promptflow/batch/_result.py
+++ b/src/promptflow-devkit/promptflow/batch/_result.py
@@ -8,9 +8,9 @@
 from typing import Any, List, Mapping
 
 from promptflow._utils.exception_utils import ExceptionPresenter, RootErrorCode
-from promptflow._utils.openai_metrics_calculator import OpenAIMetricsCalculator
 from promptflow.contracts.run_info import RunInfo, Status
 from promptflow.executor._result import AggregationResult, LineResult
+from promptflow.tracing._openai_utils import OpenAIMetricsCalculator
 
 
 @dataclass
diff --git a/src/promptflow-devkit/promptflow/client/__init__.py b/src/promptflow-devkit/promptflow/client/__init__.py
new file mode 100644
index 00000000000..b6b158838d1
--- /dev/null
+++ b/src/promptflow-devkit/promptflow/client/__init__.py
@@ -0,0 +1,11 @@
+# ---------------------------------------------------------
+# Copyright (c) Microsoft Corporation. All rights reserved.
+# ---------------------------------------------------------
+__path__ = __import__("pkgutil").extend_path(__path__, __name__)  # type: ignore
+
+# control plane sdk functions
+from promptflow._sdk._load_functions import load_flow, load_run
+
+from .._sdk._pf_client import PFClient
+
+__all__ = ["PFClient", "load_run", "load_flow"]
diff --git a/src/promptflow/promptflow/entities/__init__.py b/src/promptflow-devkit/promptflow/entities/__init__.py
similarity index 100%
rename from src/promptflow/promptflow/entities/__init__.py
rename to src/promptflow-devkit/promptflow/entities/__init__.py
diff --git a/src/promptflow/promptflow/operations/__init__.py b/src/promptflow-devkit/promptflow/operations/__init__.py
similarity index 100%
rename from src/promptflow/promptflow/operations/__init__.py
rename to src/promptflow-devkit/promptflow/operations/__init__.py
diff --git a/src/promptflow-devkit/pyproject.toml b/src/promptflow-devkit/pyproject.toml
new file mode 100644
index 00000000000..5642ab958a1
--- /dev/null
+++ b/src/promptflow-devkit/pyproject.toml
@@ -0,0 +1,148 @@
+[tool.poetry]
+name = "promptflow-devkit"
+version = "1.0.0.dev0"
+description = "Prompt flow devkit"
+include = [
+  "promptflow/_sdk/_service/static/*",
+  "promptflow/_sdk/_service/static/assets/*",
+  "promptflow/_cli/data/**/*",
+  "promptflow/_sdk/data/**/*",
+]
+
+license = "MIT"
+
+authors = [
+  "Microsoft Corporation <aml-pt-eng@microsoft.com>"
+]
+
+repository = "https://github.com/microsoft/promptflow"
+homepage = "https://microsoft.github.io/promptflow/"
+
+readme = ["README.md"]
+keywords = ["devkit"]
+
+classifiers = [
+  "Programming Language :: Python",
+  "Programming Language :: Python :: 3",
+  "Programming Language :: Python :: 3 :: Only",
+  "Programming Language :: Python :: 3.8",
+  "Programming Language :: Python :: 3.9",
+  "Programming Language :: Python :: 3.10",
+  "Programming Language :: Python :: 3.11",
+  "License :: OSI Approved :: MIT License",
+  "Operating System :: OS Independent",
+]
+
+packages = [
+  { include = "promptflow" }
+]
+
+[tool.poetry.urls]
+"Bug Reports" = "https://github.com/microsoft/promptflow/issues"
+
+[tool.poetry.dependencies]
+python = ">=3.8,<3.9.7 || >3.9.7,<3.13"
+promptflow-core = "<2.0.0"
+httpx = ">=0.25.1"  # used to send http requests asynchronously
+sqlalchemy = ">=1.4.48,<3.0.0"  # sqlite requirements
+pandas = ">=1.5.3,<3.0.0"  # load data requirements
+python-dotenv = ">=1.0.0,<2.0.0"  # control plane sdk requirements, to load .env file
+keyring = ">=24.2.0,<25.0.0"  # control plane sdk requirements, to access system keyring service
+pydash = ">=6.0.0,<8.0.0"  # control plane sdk requirements, to support parameter overrides in schema.
+cryptography = ">=42.0.4"  # control plane sdk requirements to support connection encryption
+colorama = ">=0.4.6,<0.5.0"  # producing colored terminal text for testing chat flow
+tabulate = ">=0.9.0,<1.0.0"  # control plane sdk requirements, to print table in console
+filelock = ">=3.4.0,<4.0.0"  # control plane sdk requirements, to lock for multiprocessing
+marshmallow = ">=3.5,<4.0.0"
+gitpython = ">=3.1.24,<4.0.0"  # used git info to generate flow id
+strictyaml = ">=1.5.0,<2.0.0"  # used to identify exact location of validation error
+waitress = ">=2.1.2,<3.0.0"  # used to serve local service
+azure-monitor-opentelemetry-exporter = ">=1.0.0b21,<2.0.0"
+pyarrow = ">=14.0.1,<15.0.0"  # used to read parquet file with pandas.read_parquet
+pillow = ">=10.1.0,<11.0.0"  # used to generate icon data URI for package tool
+opentelemetry-exporter-otlp-proto-http = ">=1.22.0,<2.0.0"  # trace support
+flask-restx = ">=1.2.0,<2.0.0"  # PFS Swagger
+flask-cors = ">=4.0.0,<5.0.0"  # handle PFS CORS
+pyinstaller = ">=5.13.2"
+streamlit = ">=1.26.0"
+streamlit-quill = "<0.1.0"
+bs4 = "*"
+
+[tool.poetry.extras]
+executable = [
+  "pyarrow",
+  "pyinstaller",
+  "streamlit",
+  "streamlit-quill",
+  "bs4",
+]
+pyarrow = [
+  "pyarrow",
+]
+
+[tool.poetry.group.dev.dependencies]
+pre-commit = "*"
+import-linter = "*"
+
+[tool.poetry.group.test.dependencies]
+pytest = "*"
+pytest-cov = "*"
+pytest-xdist = "*"
+pytest-mock = "*"
+pytest-asyncio = "*"
+mock = "*"
+ipykernel = ">=6.27.1"
+papermill = ">=2.5.0"
+keyrings-alt = "*"
+
+[build-system]
+requires = ["poetry-core>=1.5.0"]
+build-backend = "poetry.core.masonry.api"
+
+[tool.poetry.scripts]
+pf = "promptflow._cli.pf:main"
+
+[tool.pytest.ini_options]
+markers = [
+  "unittest",
+]
+# junit - analyse and publish test results (https://github.com/EnricoMi/publish-unit-test-result-action)
+# durations - list the slowest test durations
+addopts = """
+--junit-xml=test-results.xml \
+--dist loadfile \
+--log-level=info \
+--log-format="%(asctime)s %(levelname)s %(message)s" \
+--log-date-format="[%Y-%m-%d %H:%M:%S]" \
+--durations=5 \
+-ra \
+-vv
+"""
+testpaths = ["tests"]
+
+[tool.coverage.run]
+omit = [
+  "__init__.py",
+]
+
+[tool.black]
+line-length = 120
+
+[tool.importlinter]
+root_package = "promptflow"
+include_external_packages = "True"
+
+[[tool.importlinter.contracts]]
+name = "Contract forbidden modules"
+type = "forbidden"
+source_modules = [
+  "promptflow._cli",
+  "promptflow._internal",
+  "promptflow._proxy",
+  "promptflow._sdk",
+  "promptflow.batch",
+  "promptflow.client",
+  "promptflow.entities",
+  "promptflow.operations"
+]
+forbidden_modules = ["promptflow.azure"]
diff --git a/src/promptflow-devkit/tests/unittests/test.py b/src/promptflow-devkit/tests/unittests/test.py
new file mode 100644
index 00000000000..226a2ed4261
--- /dev/null
+++ b/src/promptflow-devkit/tests/unittests/test.py
@@ -0,0 +1,11 @@
+# ---------------------------------------------------------
+# Copyright (c) Microsoft Corporation. All rights reserved.
+# ---------------------------------------------------------
+
+import pytest
+
+
+@pytest.mark.unittest
+class TestStartTrace:
+    def test_import(self):
+        assert True
diff --git a/src/promptflow-recording/README.md b/src/promptflow-recording/README.md
new file mode 100644
index 00000000000..f7a2574217f
--- /dev/null
+++ b/src/promptflow-recording/README.md
@@ -0,0 +1,3 @@
+# Prompt flow recording
+
+Prompt flow recording utilities for test use.
diff --git a/src/promptflow-recording/promptflow/recording/__init__.py b/src/promptflow-recording/promptflow/recording/__init__.py
new file mode 100644
index 00000000000..e69de29bb2d
diff --git a/src/promptflow/tests/sdk_cli_azure_test/recording_utilities/__init__.py b/src/promptflow-recording/promptflow/recording/azure/__init__.py
similarity index 85%
rename from src/promptflow/tests/sdk_cli_azure_test/recording_utilities/__init__.py
rename to src/promptflow-recording/promptflow/recording/azure/__init__.py
index aa7b0d94f75..0b7983ba99d 100644
--- a/src/promptflow/tests/sdk_cli_azure_test/recording_utilities/__init__.py
+++ b/src/promptflow-recording/promptflow/recording/azure/__init__.py
@@ -4,7 +4,7 @@
 
 from .bases import PFAzureIntegrationTestRecording
 from .constants import SanitizedValues
-from .utils import get_created_flow_name_from_flow_path, get_pf_client_for_replay, is_live, is_record, is_replay
+from .utils import get_created_flow_name_from_flow_path, get_pf_client_for_replay
 from .variable_recorder import VariableRecorder
 
 __all__ = [
@@ -13,7 +13,4 @@
     "VariableRecorder",
     "get_created_flow_name_from_flow_path",
     "get_pf_client_for_replay",
-    "is_live",
-    "is_record",
-    "is_replay",
 ]
diff --git a/src/promptflow/tests/sdk_cli_azure_test/recording_utilities/bases.py b/src/promptflow-recording/promptflow/recording/azure/bases.py
similarity index 97%
rename from src/promptflow/tests/sdk_cli_azure_test/recording_utilities/bases.py
rename to src/promptflow-recording/promptflow/recording/azure/bases.py
index 80c19fbf83c..e764d7f0b8b 100644
--- a/src/promptflow/tests/sdk_cli_azure_test/recording_utilities/bases.py
+++ b/src/promptflow-recording/promptflow/recording/azure/bases.py
@@ -12,6 +12,7 @@
 from vcr import matchers
 from vcr.request import Request
 
+from ..record_mode import is_live, is_record, is_replay
 from .constants import FILTER_HEADERS, TEST_CLASSES_FOR_RUN_INTEGRATION_TEST_RECORDING, SanitizedValues
 from .processors import (
     AzureMLExperimentIDProcessor,
@@ -29,9 +30,6 @@
 from .utils import (
     is_httpx_response,
     is_json_payload_request,
-    is_live,
-    is_record,
-    is_replay,
     sanitize_automatic_runtime_request_path,
     sanitize_azure_workspace_triad,
     sanitize_file_share_flow_path,
@@ -82,10 +80,8 @@ def from_test_case(test_class, test_func_name: str, **kwargs) -> "PFAzureIntegra
             )
 
     def _get_recording_file(self) -> Path:
-        # recording files are expected to be located at "tests/test_configs/recordings"
-        # test file path should locate at "tests/sdk_cli_azure_test/e2etests"
         test_file_path = Path(inspect.getfile(self.test_class)).resolve()
-        recording_dir = (test_file_path.parent.parent.parent / "test_configs" / "recordings").resolve()
+        recording_dir = (Path(__file__).parent / "../../../recordings/azure").resolve()
         recording_dir.mkdir(exist_ok=True)
 
         test_file_name = test_file_path.stem
@@ -250,7 +246,7 @@ def _drop_duplicate_recordings(self) -> None:
         run_data_requests = dict()
         log_content_requests = dict()
         for req, resp in self.cassette.data:
-            # run hisotry's rundata API
+            # run history's rundata API
             if str(req.path).endswith("/rundata"):
                 body = req.body.decode("utf-8")
                 body_dict = json.loads(body)
diff --git a/src/promptflow/tests/sdk_cli_azure_test/recording_utilities/constants.py b/src/promptflow-recording/promptflow/recording/azure/constants.py
similarity index 97%
rename from src/promptflow/tests/sdk_cli_azure_test/recording_utilities/constants.py
rename to src/promptflow-recording/promptflow/recording/azure/constants.py
index 19c0d095cfc..2b227afab57 100644
--- a/src/promptflow/tests/sdk_cli_azure_test/recording_utilities/constants.py
+++ b/src/promptflow-recording/promptflow/recording/azure/constants.py
@@ -5,12 +5,6 @@
 ENVIRON_TEST_MODE = "PROMPT_FLOW_TEST_MODE"
 
 
-class TestMode:
-    LIVE = "live"
-    RECORD = "record"
-    REPLAY = "replay"
-
-
 FILTER_HEADERS = [
     "aml-user-token",
     "authorization",
diff --git a/src/promptflow/tests/sdk_cli_azure_test/recording_utilities/processors.py b/src/promptflow-recording/promptflow/recording/azure/processors.py
similarity index 100%
rename from src/promptflow/tests/sdk_cli_azure_test/recording_utilities/processors.py
rename to src/promptflow-recording/promptflow/recording/azure/processors.py
diff --git a/src/promptflow/tests/sdk_cli_azure_test/recording_utilities/utils.py b/src/promptflow-recording/promptflow/recording/azure/utils.py
similarity index 95%
rename from src/promptflow/tests/sdk_cli_azure_test/recording_utilities/utils.py
rename to src/promptflow-recording/promptflow/recording/azure/utils.py
index a436f2305ad..25528ae1d9d 100644
--- a/src/promptflow/tests/sdk_cli_azure_test/recording_utilities/utils.py
+++ b/src/promptflow-recording/promptflow/recording/azure/utils.py
@@ -3,7 +3,6 @@
 # ---------------------------------------------------------
 
 import json
-import os
 import re
 from dataclasses import dataclass
 from typing import Dict
@@ -12,23 +11,7 @@
 from azure.core.credentials import AccessToken
 from vcr.request import Request
 
-from .constants import ENVIRON_TEST_MODE, SanitizedValues, TestMode
-
-
-def get_test_mode_from_environ() -> str:
-    return os.getenv(ENVIRON_TEST_MODE, TestMode.LIVE)
-
-
-def is_live() -> bool:
-    return get_test_mode_from_environ() == TestMode.LIVE
-
-
-def is_record() -> bool:
-    return get_test_mode_from_environ() == TestMode.RECORD
-
-
-def is_replay() -> bool:
-    return get_test_mode_from_environ() == TestMode.REPLAY
+from .constants import SanitizedValues
 
 
 class FakeTokenCredential:
diff --git a/src/promptflow/tests/sdk_cli_azure_test/recording_utilities/variable_recorder.py b/src/promptflow-recording/promptflow/recording/azure/variable_recorder.py
similarity index 100%
rename from src/promptflow/tests/sdk_cli_azure_test/recording_utilities/variable_recorder.py
rename to src/promptflow-recording/promptflow/recording/azure/variable_recorder.py
diff --git a/src/promptflow/tests/sdk_cli_test/recording_utilities/__init__.py b/src/promptflow-recording/promptflow/recording/local/__init__.py
similarity index 87%
rename from src/promptflow/tests/sdk_cli_test/recording_utilities/__init__.py
rename to src/promptflow-recording/promptflow/recording/local/__init__.py
index d9e9ede24af..f6c6b9e3b4d 100644
--- a/src/promptflow/tests/sdk_cli_test/recording_utilities/__init__.py
+++ b/src/promptflow-recording/promptflow/recording/local/__init__.py
@@ -6,9 +6,6 @@
     RecordItemMissingException,
     RecordStorage,
     check_pydantic_v2,
-    is_live,
-    is_record,
-    is_replay,
 )
 
 __all__ = [
@@ -21,9 +18,6 @@
     "recording_array_reset",
     "inject_async_with_recording",
     "inject_sync_with_recording",
-    "is_live",
-    "is_record",
-    "is_replay",
     "delete_count_lock_file",
     "check_pydantic_v2",
 ]
diff --git a/src/promptflow/tests/sdk_cli_test/recording_utilities/mock_tool.py b/src/promptflow-recording/promptflow/recording/local/mock_tool.py
similarity index 77%
rename from src/promptflow/tests/sdk_cli_test/recording_utilities/mock_tool.py
rename to src/promptflow-recording/promptflow/recording/local/mock_tool.py
index 56469c4cd03..fe94cea26a1 100644
--- a/src/promptflow/tests/sdk_cli_test/recording_utilities/mock_tool.py
+++ b/src/promptflow-recording/promptflow/recording/local/mock_tool.py
@@ -3,11 +3,10 @@
 import os
 from pathlib import Path
 
-from promptflow._core.tool import STREAMING_OPTION_PARAMETER_ATTR, ToolType
-from promptflow._utils.utils import is_in_ci_pipeline
 from promptflow.tracing._tracer import _create_trace_from_function_call
 from promptflow.tracing.contracts.trace import TraceType
 
+from ..record_mode import is_in_ci_pipeline
 from .record_storage import (
     Counter,
     RecordFileMissingException,
@@ -74,11 +73,25 @@ def call_func(func, args, kwargs):
     # Record mode will record item to record file
     elif is_record():
         try:
-            # prevent recording the same item twice
+            """
+            prevent recording the same item twice. Why? There might be data consistency issues
+            if we always override records even if it is exists.
+            For example, Flows with LLM nodes.  Node2 and Node3 are the same with variants
+            Test 1:  Node1--> Node2
+            Test 2:  Node1--> Node3
+            If we record Test 1 and Test 2 sequentially, Test2 recording might alter Node1 item generated by
+            Test1 recording. This might leads to record not found when you replay Test1, since the input for
+            Node2 changed due to the override.
+            """
             obj = RecordStorage.get_instance().get_record(input_dict)
         except (RecordItemMissingException, RecordFileMissingException):
-            # recording the item
-            obj = RecordStorage.get_instance().set_record(input_dict, func(*args, **kwargs))
+            obj = None
+            try:
+                obj = func(*args, **kwargs)
+            except Exception as e:
+                # Set_record will raise Exception if the record is an Exception instance
+                RecordStorage.get_instance().set_record(input_dict, e)
+            obj = RecordStorage.get_instance().set_record(input_dict, obj)
     elif is_live() and is_in_ci_pipeline():
         obj = Counter.get_instance().set_file_record_count(COUNT_RECORD, func(*args, **kwargs))
     else:
@@ -93,11 +106,25 @@ async def call_func_async(func, args, kwargs):
     # Record mode will record item to record file
     elif is_record():
         try:
-            # prevent recording the same item twice
+            """
+            prevent recording the same item twice. Why? There might be data consistency issues
+            if we always override records even if it is exists.
+            For example, Flows with LLM nodes.  Node2 and Node3 are the same with variants
+            Test 1:  Node1--> Node2
+            Test 2:  Node1--> Node3
+            If we record Test 1 and Test 2 sequentially, Test2 recording might alter Node1 item generated by
+            Test1 recording. This might leads to record not found when you replay Test1, since the input for
+            Node2 changed due to the override.
+            """
             obj = RecordStorage.get_instance().get_record(input_dict)
         except (RecordItemMissingException, RecordFileMissingException):
-            # recording the item
-            obj = RecordStorage.get_instance().set_record(input_dict, await func(*args, **kwargs))
+            obj = None
+            try:
+                obj = await func(*args, **kwargs)
+            except Exception as e:
+                # Set_record will raise Exception if the record is an Exception instance
+                RecordStorage.get_instance().set_record(input_dict, e)
+            obj = RecordStorage.get_instance().set_record(input_dict, obj)
     elif is_live() and is_in_ci_pipeline():
         obj = Counter.get_instance().set_file_record_count(COUNT_RECORD, await func(*args, **kwargs))
     else:
@@ -140,7 +167,7 @@ def tool_decorator(func):
             from promptflow.exceptions import UserErrorException
 
             def create_trace(func, args, kwargs):
-                return _create_trace_from_function_call(func, args=args, kwargs=kwargs, trace_type=TraceType.TOOL)
+                return _create_trace_from_function_call(func, args=args, kwargs=kwargs, trace_type=TraceType.FUNCTION)
 
             if inspect.iscoroutinefunction(func):
 
@@ -177,6 +204,8 @@ def decorated_tool(*args, **kwargs):
 
                 new_f = decorated_tool
 
+            from promptflow._core.tool import STREAMING_OPTION_PARAMETER_ATTR, ToolType
+
             if type is not None and type not in [k.value for k in ToolType]:
                 raise UserErrorException(f"Tool type {type} is not supported yet.")
 
diff --git a/src/promptflow-recording/promptflow/recording/local/openai_inject_recording.py b/src/promptflow-recording/promptflow/recording/local/openai_inject_recording.py
new file mode 100644
index 00000000000..3c43df79ccf
--- /dev/null
+++ b/src/promptflow-recording/promptflow/recording/local/openai_inject_recording.py
@@ -0,0 +1,49 @@
+import functools
+
+from promptflow.tracing._integrations._openai_injector import (
+    inject_function_async,
+    inject_function_sync,
+    inject_operation_headers,
+)
+
+from .mock_tool import call_func, call_func_async
+
+
+def inject_recording_async(f):
+    @functools.wraps(f)
+    async def wrapper(*args, **kwargs):
+        return await call_func_async(f, args, kwargs)
+
+    return wrapper
+
+
+def inject_recording_sync(f):
+    @functools.wraps(f)
+    def wrapper(*args, **kwargs):
+        return call_func(f, args, kwargs)
+
+    return wrapper
+
+
+def inject_async_with_recording(f, trace_type, name):
+    wrapper_fun = inject_operation_headers(
+        (
+            inject_function_async(
+                args_to_ignore=["api_key", "headers", "extra_headers"], trace_type=trace_type, name=name
+            )(inject_recording_async(f))
+        )
+    )
+    wrapper_fun._original = f
+    return wrapper_fun
+
+
+def inject_sync_with_recording(f, trace_type, name):
+    wrapper_fun = inject_operation_headers(
+        (
+            inject_function_sync(
+                args_to_ignore=["api_key", "headers", "extra_headers"], trace_type=trace_type, name=name
+            )(inject_recording_sync(f))
+        )
+    )
+    wrapper_fun._original = f
+    return wrapper_fun
diff --git a/src/promptflow/tests/sdk_cli_test/recording_utilities/record_storage.py b/src/promptflow-recording/promptflow/recording/local/record_storage.py
similarity index 85%
rename from src/promptflow/tests/sdk_cli_test/recording_utilities/record_storage.py
rename to src/promptflow-recording/promptflow/recording/local/record_storage.py
index d5bc5eab6dd..7a59247ca1e 100644
--- a/src/promptflow/tests/sdk_cli_test/recording_utilities/record_storage.py
+++ b/src/promptflow-recording/promptflow/recording/local/record_storage.py
@@ -2,34 +2,20 @@
 # Copyright (c) Microsoft Corporation. All rights reserved.
 # ---------------------------------------------------------
 import hashlib
+import importlib
 import json
 import os
 import shelve
+import traceback
 from pathlib import Path
 from typing import Dict, Iterator, Union
 
 from filelock import FileLock
+from openai import NotFoundError
 
-from promptflow._core.generator_proxy import GeneratorProxy
-from promptflow.exceptions import PromptflowException
+from promptflow.tracing.contracts.generator_proxy import GeneratorProxy
 
-from .constants import ENVIRON_TEST_MODE, RecordMode
-
-
-def get_test_mode_from_environ() -> str:
-    return os.getenv(ENVIRON_TEST_MODE, RecordMode.LIVE)
-
-
-def is_record() -> bool:
-    return get_test_mode_from_environ() == RecordMode.RECORD
-
-
-def is_replay() -> bool:
-    return get_test_mode_from_environ() == RecordMode.REPLAY
-
-
-def is_live() -> bool:
-    return get_test_mode_from_environ() == RecordMode.LIVE
+from ..record_mode import is_live, is_record, is_replay
 
 
 def check_pydantic_v2():
@@ -42,13 +28,13 @@ def check_pydantic_v2():
         raise ImportError("pydantic is not installed, this is required component for openai recording.")
 
 
-class RecordItemMissingException(PromptflowException):
+class RecordItemMissingException(Exception):
     """Exception raised when record item missing."""
 
     pass
 
 
-class RecordFileMissingException(PromptflowException):
+class RecordFileMissingException(Exception):
     """Exception raised when record file missing or invalid."""
 
     pass
@@ -184,17 +170,21 @@ def _recursive_create_hashable_args(self, item):
         if isinstance(item, list):
             return [self._recursive_create_hashable_args(i) for i in item]
         if isinstance(item, dict):
-            return {k: self._recursive_create_hashable_args(v) for k, v in item.items() if k != "extra_headers"}
+            return {
+                k: self._recursive_create_hashable_args(v)
+                for k, v in item.items()
+                if k != "extra_headers" and v is not None
+            }
         elif "module: promptflow.connections" in str(item) or "object at" in str(item):
             return []
         else:
             return item
 
     @staticmethod
-    def _parse_output_generator(output):
+    def _parse_output(output):
         """
         Special handling for generator type. Since pickle will not work for generator.
-        Returns the real list for reocrding, and create a generator for original output.
+        Returns the real list for recording, and create a generator for original output.
         Parse output has a simplified hypothesis: output is simple dict, list or generator,
         because a full schema of output is too heavy to handle.
         Example: {"answer": <generator>, "a": "b"}, <generator>
@@ -208,14 +198,14 @@ def _parse_output_generator(output):
             for item in output.items():
                 k, v = item
                 if type(v).__name__ == "generator":
-                    vlist = list(v)
+                    item_list = list(v)
 
-                    def vgenerator():
-                        for vitem in vlist:
-                            yield vitem
+                    def item_generator():
+                        for internal_item in item_list:
+                            yield internal_item
 
-                    output_value[k] = vlist
-                    output_generator[k] = vgenerator()
+                    output_value[k] = item_list
+                    output_generator[k] = item_generator()
                     output_type = "dict[generator]"
                 else:
                     output_value[k] = v
@@ -229,6 +219,18 @@ def generator():
 
             output_generator = generator()
             output_type = "generator"
+        elif isinstance(output, Exception):
+            output_value = {
+                "module": output.__class__.__module__,
+                "message": str(output),
+                "type": type(output).__name__,
+                "args": getattr(output, "args", None),
+                "traceback": traceback.format_exc(),
+                "response": getattr(output, "response", None),
+                "body": getattr(output, "body", None),
+            }
+            output_generator = None
+            output_type = "Exception"
         else:
             output_value = output
             output_generator = None
@@ -249,11 +251,11 @@ def _create_output_generator(output, output_type):
             for k, v in output.items():
                 if type(v).__name__ == "list":
 
-                    def vgenerator():
+                    def item_generator():
                         for item in v:
                             yield item
 
-                    output_generator[k] = vgenerator()
+                    output_generator[k] = item_generator()
                 else:
                     output_generator[k] = v
         elif output_type == "generator":
@@ -292,6 +294,25 @@ def get_record(self, input_dict: Dict) -> object:
         output_type = line_record_pointer["output_type"]
         if "generator" in output_type:
             return RecordCache._create_output_generator(output, output_type)
+        elif "Exception" in output_type:
+            # Dynamically import the module
+            module = importlib.import_module(output["module"])
+
+            # Get the exception class
+            exception_class = getattr(module, output["type"], None)
+
+            if exception_class is None:
+                raise ValueError(f"Exception type {output['type']} not found")
+
+            # Reconstruct the exception
+            # Check if the exception class requires specific keyword arguments
+            if exception_class is NotFoundError:
+                exception_instance = exception_class(
+                    output["message"], response=output["response"], body=output["body"]
+                )
+            else:
+                exception_instance = exception_class(*output["args"])
+            raise exception_instance
         else:
             return output
 
@@ -312,7 +333,7 @@ def set_record(self, input_dict: Dict, output):
         # filter args, object at will not hash
         input_dict = self._recursive_create_hashable_args(input_dict)
         hash_value: str = hashlib.sha1(str(sorted(input_dict.items())).encode("utf-8")).hexdigest()
-        output_value, output_generator, output_type = RecordCache._parse_output_generator(output)
+        output_value, output_generator, output_type = RecordCache._parse_output(output)
 
         try:
             line_record_pointer = self.file_records_pointer[hash_value]
@@ -329,8 +350,10 @@ def set_record(self, input_dict: Dict, output):
             # no writeback
             if "generator" in output_type:
                 return output_generator
+            elif "Exception" in output_type:
+                raise output
             else:
-                return output_value
+                return output
         else:
             self.file_records_pointer[hash_value] = {
                 "input": input_dict,
@@ -342,8 +365,10 @@ def set_record(self, input_dict: Dict, output):
 
             if "generator" in output_type:
                 return output_generator
+            elif "Exception" in output_type:
+                raise output
             else:
-                return output_value
+                return output
 
 
 class RecordStorage:
@@ -427,7 +452,7 @@ def set_file_record_count(self, file, obj):
         Just count how many tokens are calculated. Different from
         openai_metric_calculator, this is directly returned from AOAI.
         """
-        output_value, output_generator, output_type = RecordCache._parse_output_generator(obj)
+        output_value, output_generator, output_type = RecordCache._parse_output(obj)
         if "generator" in output_type:
             count = len(output_value)
         elif hasattr(output_value, "usage") and output_value.usage and output_value.usage.total_tokens:
diff --git a/src/promptflow-recording/promptflow/recording/record_mode.py b/src/promptflow-recording/promptflow/recording/record_mode.py
new file mode 100644
index 00000000000..66724498f7d
--- /dev/null
+++ b/src/promptflow-recording/promptflow/recording/record_mode.py
@@ -0,0 +1,45 @@
+import os
+
+ENVIRON_TEST_MODE = "PROMPT_FLOW_TEST_MODE"
+
+
+class RecordMode:
+    LIVE = "live"
+    RECORD = "record"
+    REPLAY = "replay"
+
+
+def get_test_mode_from_environ() -> str:
+    return os.getenv(ENVIRON_TEST_MODE, RecordMode.LIVE)
+
+
+def is_record() -> bool:
+    return get_test_mode_from_environ() == RecordMode.RECORD
+
+
+def is_replay() -> bool:
+    return get_test_mode_from_environ() == RecordMode.REPLAY
+
+
+def is_live() -> bool:
+    return get_test_mode_from_environ() == RecordMode.LIVE
+
+
+def is_recording_enabled() -> bool:
+    return is_record() or is_replay() or is_live()
+
+
+def is_in_ci_pipeline():
+    if os.environ.get("IS_IN_CI_PIPELINE") == "true":
+        return True
+    return False
+
+
+def check_pydantic_v2():
+    try:
+        from importlib.metadata import version
+
+        if version("pydantic") < "2.0.0":
+            raise ImportError("pydantic version is less than 2.0.0. Recording cannot work properly.")
+    except ImportError:
+        raise ImportError("pydantic is not installed, this is required component for openai recording.")
diff --git a/src/promptflow-recording/pyproject.toml b/src/promptflow-recording/pyproject.toml
new file mode 100644
index 00000000000..69836ddbf40
--- /dev/null
+++ b/src/promptflow-recording/pyproject.toml
@@ -0,0 +1,50 @@
+[tool.poetry]
+name = "promptflow-recording"
+version = "0.1.0b1"
+description = "Prompt flow recording utilities"
+
+license = "MIT"
+
+authors = [
+  "Microsoft Corporation <aml-pt-eng@microsoft.com>"
+]
+
+repository = "https://github.com/microsoft/promptflow"
+homepage = "https://microsoft.github.io/promptflow/"
+
+readme = ["README.md"]
+keywords = ["promptflow_recording"]
+
+classifiers = [
+  "Programming Language :: Python",
+  "Programming Language :: Python :: 3",
+  "Programming Language :: Python :: 3 :: Only",
+  "Programming Language :: Python :: 3.8",
+  "Programming Language :: Python :: 3.9",
+  "Programming Language :: Python :: 3.10",
+  "Programming Language :: Python :: 3.11",
+  "License :: OSI Approved :: MIT License",
+  "Operating System :: OS Independent",
+]
+
+packages = [
+  { include = "promptflow" }
+]
+
+[tool.poetry.urls]
+"Bug Reports" = "https://github.com/microsoft/promptflow/issues"
+
+[tool.poetry.dependencies]
+python = "<4.0,>=3.8"
+vcrpy = ">=5.1"
+promptflow-tracing = ">=0.1.0b1, <2.0.0"
+
+[tool.poetry.group.dev.dependencies]
+pre-commit = "*"
+import-linter = "*"
+
+[build-system]
+requires = [
+  "poetry-core>=1.5.0",
+]
+build-backend = "poetry.core.masonry.api"
diff --git a/src/promptflow/tests/test_configs/recordings/test_arm_connection_operations_TestArmConnectionOperations_test_get_connection.yaml b/src/promptflow-recording/recordings/azure/test_arm_connection_operations_TestArmConnectionOperations_test_get_connection.yaml
similarity index 100%
rename from src/promptflow/tests/test_configs/recordings/test_arm_connection_operations_TestArmConnectionOperations_test_get_connection.yaml
rename to src/promptflow-recording/recordings/azure/test_arm_connection_operations_TestArmConnectionOperations_test_get_connection.yaml
diff --git a/src/promptflow/tests/test_configs/recordings/test_azure_cli_perf_TestAzureCliPerf_test_pfazure_run_create.yaml b/src/promptflow-recording/recordings/azure/test_azure_cli_perf_TestAzureCliPerf_test_pfazure_run_create.yaml
similarity index 100%
rename from src/promptflow/tests/test_configs/recordings/test_azure_cli_perf_TestAzureCliPerf_test_pfazure_run_create.yaml
rename to src/promptflow-recording/recordings/azure/test_azure_cli_perf_TestAzureCliPerf_test_pfazure_run_create.yaml
diff --git a/src/promptflow/tests/test_configs/recordings/test_azure_cli_perf_TestAzureCliPerf_test_pfazure_run_update.yaml b/src/promptflow-recording/recordings/azure/test_azure_cli_perf_TestAzureCliPerf_test_pfazure_run_update.yaml
similarity index 100%
rename from src/promptflow/tests/test_configs/recordings/test_azure_cli_perf_TestAzureCliPerf_test_pfazure_run_update.yaml
rename to src/promptflow-recording/recordings/azure/test_azure_cli_perf_TestAzureCliPerf_test_pfazure_run_update.yaml
diff --git a/src/promptflow/tests/test_configs/recordings/test_azure_cli_perf_TestAzureCliPerf_test_run_restore.yaml b/src/promptflow-recording/recordings/azure/test_azure_cli_perf_TestAzureCliPerf_test_run_restore.yaml
similarity index 100%
rename from src/promptflow/tests/test_configs/recordings/test_azure_cli_perf_TestAzureCliPerf_test_run_restore.yaml
rename to src/promptflow-recording/recordings/azure/test_azure_cli_perf_TestAzureCliPerf_test_run_restore.yaml
diff --git a/src/promptflow/tests/test_configs/recordings/test_cli_with_azure_TestCliWithAzure_test_basic_flow_run_bulk_without_env.yaml b/src/promptflow-recording/recordings/azure/test_cli_with_azure_TestCliWithAzure_test_basic_flow_run_bulk_without_env.yaml
similarity index 100%
rename from src/promptflow/tests/test_configs/recordings/test_cli_with_azure_TestCliWithAzure_test_basic_flow_run_bulk_without_env.yaml
rename to src/promptflow-recording/recordings/azure/test_cli_with_azure_TestCliWithAzure_test_basic_flow_run_bulk_without_env.yaml
diff --git a/src/promptflow/tests/test_configs/recordings/test_cli_with_azure_TestCliWithAzure_test_cli_telemetry.yaml b/src/promptflow-recording/recordings/azure/test_cli_with_azure_TestCliWithAzure_test_cli_telemetry.yaml
similarity index 100%
rename from src/promptflow/tests/test_configs/recordings/test_cli_with_azure_TestCliWithAzure_test_cli_telemetry.yaml
rename to src/promptflow-recording/recordings/azure/test_cli_with_azure_TestCliWithAzure_test_cli_telemetry.yaml
diff --git a/src/promptflow/tests/test_configs/recordings/test_cli_with_azure_TestCliWithAzure_test_run_file_with_set.yaml b/src/promptflow-recording/recordings/azure/test_cli_with_azure_TestCliWithAzure_test_run_file_with_set.yaml
similarity index 100%
rename from src/promptflow/tests/test_configs/recordings/test_cli_with_azure_TestCliWithAzure_test_run_file_with_set.yaml
rename to src/promptflow-recording/recordings/azure/test_cli_with_azure_TestCliWithAzure_test_run_file_with_set.yaml
diff --git a/src/promptflow/tests/test_configs/recordings/test_cli_with_azure_TestCliWithAzure_test_run_with_remote_data.yaml b/src/promptflow-recording/recordings/azure/test_cli_with_azure_TestCliWithAzure_test_run_with_remote_data.yaml
similarity index 100%
rename from src/promptflow/tests/test_configs/recordings/test_cli_with_azure_TestCliWithAzure_test_run_with_remote_data.yaml
rename to src/promptflow-recording/recordings/azure/test_cli_with_azure_TestCliWithAzure_test_run_with_remote_data.yaml
diff --git a/src/promptflow/tests/test_configs/recordings/test_connection_operations_TestConnectionOperations_test_connection_get_create_delete.yaml b/src/promptflow-recording/recordings/azure/test_connection_operations_TestConnectionOperations_test_connection_get_create_delete.yaml
similarity index 100%
rename from src/promptflow/tests/test_configs/recordings/test_connection_operations_TestConnectionOperations_test_connection_get_create_delete.yaml
rename to src/promptflow-recording/recordings/azure/test_connection_operations_TestConnectionOperations_test_connection_get_create_delete.yaml
diff --git a/src/promptflow/tests/test_configs/recordings/test_connection_operations_TestConnectionOperations_test_get_connection.yaml b/src/promptflow-recording/recordings/azure/test_connection_operations_TestConnectionOperations_test_get_connection.yaml
similarity index 100%
rename from src/promptflow/tests/test_configs/recordings/test_connection_operations_TestConnectionOperations_test_get_connection.yaml
rename to src/promptflow-recording/recordings/azure/test_connection_operations_TestConnectionOperations_test_get_connection.yaml
diff --git a/src/promptflow/tests/test_configs/recordings/test_connection_operations_TestConnectionOperations_test_list_connection_spec.yaml b/src/promptflow-recording/recordings/azure/test_connection_operations_TestConnectionOperations_test_list_connection_spec.yaml
similarity index 100%
rename from src/promptflow/tests/test_configs/recordings/test_connection_operations_TestConnectionOperations_test_list_connection_spec.yaml
rename to src/promptflow-recording/recordings/azure/test_connection_operations_TestConnectionOperations_test_list_connection_spec.yaml
diff --git a/src/promptflow/tests/test_configs/recordings/test_flow_operations_TestFlow_test_create_flow.yaml b/src/promptflow-recording/recordings/azure/test_flow_operations_TestFlow_test_create_flow.yaml
similarity index 100%
rename from src/promptflow/tests/test_configs/recordings/test_flow_operations_TestFlow_test_create_flow.yaml
rename to src/promptflow-recording/recordings/azure/test_flow_operations_TestFlow_test_create_flow.yaml
diff --git a/src/promptflow/tests/test_configs/recordings/test_flow_operations_TestFlow_test_get_flow.yaml b/src/promptflow-recording/recordings/azure/test_flow_operations_TestFlow_test_get_flow.yaml
similarity index 100%
rename from src/promptflow/tests/test_configs/recordings/test_flow_operations_TestFlow_test_get_flow.yaml
rename to src/promptflow-recording/recordings/azure/test_flow_operations_TestFlow_test_get_flow.yaml
diff --git a/src/promptflow/tests/test_configs/recordings/test_flow_operations_TestFlow_test_list_flows.yaml b/src/promptflow-recording/recordings/azure/test_flow_operations_TestFlow_test_list_flows.yaml
similarity index 100%
rename from src/promptflow/tests/test_configs/recordings/test_flow_operations_TestFlow_test_list_flows.yaml
rename to src/promptflow-recording/recordings/azure/test_flow_operations_TestFlow_test_list_flows.yaml
diff --git a/src/promptflow/tests/test_configs/recordings/test_flow_operations_TestFlow_test_list_flows_invalid_cases.yaml b/src/promptflow-recording/recordings/azure/test_flow_operations_TestFlow_test_list_flows_invalid_cases.yaml
similarity index 100%
rename from src/promptflow/tests/test_configs/recordings/test_flow_operations_TestFlow_test_list_flows_invalid_cases.yaml
rename to src/promptflow-recording/recordings/azure/test_flow_operations_TestFlow_test_list_flows_invalid_cases.yaml
diff --git a/src/promptflow/tests/test_configs/recordings/test_flow_operations_TestFlow_test_update_flow.yaml b/src/promptflow-recording/recordings/azure/test_flow_operations_TestFlow_test_update_flow.yaml
similarity index 100%
rename from src/promptflow/tests/test_configs/recordings/test_flow_operations_TestFlow_test_update_flow.yaml
rename to src/promptflow-recording/recordings/azure/test_flow_operations_TestFlow_test_update_flow.yaml
diff --git a/src/promptflow/tests/test_configs/recordings/test_run_operations_TestFlowRun_test_auto_resolve_requirements.yaml b/src/promptflow-recording/recordings/azure/test_run_operations_TestFlowRun_test_auto_resolve_requirements.yaml
similarity index 100%
rename from src/promptflow/tests/test_configs/recordings/test_run_operations_TestFlowRun_test_auto_resolve_requirements.yaml
rename to src/promptflow-recording/recordings/azure/test_run_operations_TestFlowRun_test_auto_resolve_requirements.yaml
diff --git a/src/promptflow/tests/test_configs/recordings/test_run_operations_TestFlowRun_test_automatic_runtime.yaml b/src/promptflow-recording/recordings/azure/test_run_operations_TestFlowRun_test_automatic_runtime.yaml
similarity index 100%
rename from src/promptflow/tests/test_configs/recordings/test_run_operations_TestFlowRun_test_automatic_runtime.yaml
rename to src/promptflow-recording/recordings/azure/test_run_operations_TestFlowRun_test_automatic_runtime.yaml
diff --git a/src/promptflow/tests/test_configs/recordings/test_run_operations_TestFlowRun_test_automatic_runtime_with_managed_identity.yaml b/src/promptflow-recording/recordings/azure/test_run_operations_TestFlowRun_test_automatic_runtime_with_managed_identity.yaml
similarity index 100%
rename from src/promptflow/tests/test_configs/recordings/test_run_operations_TestFlowRun_test_automatic_runtime_with_managed_identity.yaml
rename to src/promptflow-recording/recordings/azure/test_run_operations_TestFlowRun_test_automatic_runtime_with_managed_identity.yaml
diff --git a/src/promptflow/tests/test_configs/recordings/test_run_operations_TestFlowRun_test_automatic_runtime_with_resources.yaml b/src/promptflow-recording/recordings/azure/test_run_operations_TestFlowRun_test_automatic_runtime_with_resources.yaml
similarity index 100%
rename from src/promptflow/tests/test_configs/recordings/test_run_operations_TestFlowRun_test_automatic_runtime_with_resources.yaml
rename to src/promptflow-recording/recordings/azure/test_run_operations_TestFlowRun_test_automatic_runtime_with_resources.yaml
diff --git a/src/promptflow/tests/test_configs/recordings/test_run_operations_TestFlowRun_test_automatic_runtime_with_user_identity.yaml b/src/promptflow-recording/recordings/azure/test_run_operations_TestFlowRun_test_automatic_runtime_with_user_identity.yaml
similarity index 100%
rename from src/promptflow/tests/test_configs/recordings/test_run_operations_TestFlowRun_test_automatic_runtime_with_user_identity.yaml
rename to src/promptflow-recording/recordings/azure/test_run_operations_TestFlowRun_test_automatic_runtime_with_user_identity.yaml
diff --git a/src/promptflow/tests/test_configs/recordings/test_run_operations_TestFlowRun_test_basic_evaluation.yaml b/src/promptflow-recording/recordings/azure/test_run_operations_TestFlowRun_test_basic_evaluation.yaml
similarity index 100%
rename from src/promptflow/tests/test_configs/recordings/test_run_operations_TestFlowRun_test_basic_evaluation.yaml
rename to src/promptflow-recording/recordings/azure/test_run_operations_TestFlowRun_test_basic_evaluation.yaml
diff --git a/src/promptflow/tests/test_configs/recordings/test_run_operations_TestFlowRun_test_basic_evaluation_without_data.yaml b/src/promptflow-recording/recordings/azure/test_run_operations_TestFlowRun_test_basic_evaluation_without_data.yaml
similarity index 100%
rename from src/promptflow/tests/test_configs/recordings/test_run_operations_TestFlowRun_test_basic_evaluation_without_data.yaml
rename to src/promptflow-recording/recordings/azure/test_run_operations_TestFlowRun_test_basic_evaluation_without_data.yaml
diff --git a/src/promptflow/tests/test_configs/recordings/test_run_operations_TestFlowRun_test_cancel_run.yaml b/src/promptflow-recording/recordings/azure/test_run_operations_TestFlowRun_test_cancel_run.yaml
similarity index 100%
rename from src/promptflow/tests/test_configs/recordings/test_run_operations_TestFlowRun_test_cancel_run.yaml
rename to src/promptflow-recording/recordings/azure/test_run_operations_TestFlowRun_test_cancel_run.yaml
diff --git a/src/promptflow/tests/test_configs/recordings/test_run_operations_TestFlowRun_test_default_run_display_name.yaml b/src/promptflow-recording/recordings/azure/test_run_operations_TestFlowRun_test_default_run_display_name.yaml
similarity index 100%
rename from src/promptflow/tests/test_configs/recordings/test_run_operations_TestFlowRun_test_default_run_display_name.yaml
rename to src/promptflow-recording/recordings/azure/test_run_operations_TestFlowRun_test_default_run_display_name.yaml
diff --git a/src/promptflow-recording/recordings/azure/test_run_operations_TestFlowRun_test_download_run.yaml b/src/promptflow-recording/recordings/azure/test_run_operations_TestFlowRun_test_download_run.yaml
new file mode 100644
index 00000000000..a19404e3d13
--- /dev/null
+++ b/src/promptflow-recording/recordings/azure/test_run_operations_TestFlowRun_test_download_run.yaml
@@ -0,0 +1,4583 @@
+interactions:
+- request:
+    body: null
+    headers:
+      Accept:
+      - application/json
+      Accept-Encoding:
+      - gzip, deflate, br
+      Connection:
+      - keep-alive
+      User-Agent:
+      - promptflow-sdk/0.0.1 azure-ai-ml/1.13.0 azsdk-python-mgmt-machinelearningservices/0.1.0
+        Python/3.9.18 (Windows-10-10.0.22631-SP0)
+    method: GET
+    uri: https://management.azure.com/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000
+  response:
+    body:
+      string: '{"id": "/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000",
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+        "inputsMapping": {"name": "${data.url}"}, "outputDatastoreName": "workspaceblobstore",
+        "childRunBasePath": "promptflow/PromptFlowArtifacts/batch_run_name/flow_artifacts",
+        "studioPortalEndpoint": "https://ml.azure.com/runs/batch_run_name?wsid=/subscriptions/00000000-0000-0000-0000-000000000000/resourcegroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000"}'
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+      - Accept-Encoding
+      x-content-type-options:
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+      x-request-time:
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+    status:
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+      message: OK
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+    headers:
+      Accept:
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+      Accept-Encoding:
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+      Connection:
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+      User-Agent:
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+    uri: https://eastus.api.azureml.ms/flow/api/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/BulkRuns/batch_run_name
+  response:
+    body:
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+        "source": {"type": "code", "path": "hello_world.py"}, "inputs": {"name": "${inputs.name}"},
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+        "is_builtin": true, "package": "promptflow-tools", "package_version": "1.4.0rc1",
+        "default_prompt": "# system:\nAs an AI assistant, your task involves interpreting
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+        "allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
+        "hate_category": {"type": ["string"], "default": "medium_sensitivity", "enum":
+        ["disable", "low_sensitivity", "medium_sensitivity", "high_sensitivity"],
+        "allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
+        "self_harm_category": {"type": ["string"], "default": "medium_sensitivity",
+        "enum": ["disable", "low_sensitivity", "medium_sensitivity", "high_sensitivity"],
+        "allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
+        "sexual_category": {"type": ["string"], "default": "medium_sensitivity", "enum":
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+        "high_sensitivity"], "allow_manual_entry": false, "is_multi_select": false,
+        "input_type": "default"}}, "description": "Use Azure Content Safety to detect
+        harmful content.", "module": "promptflow.tools.azure_content_safety", "function":
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+        {"connection": {"type": ["AzureOpenAIConnection", "OpenAIConnection"], "allow_manual_entry":
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+        "promptflow.tools.embedding", "function": "embedding", "is_builtin": true,
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+        "input_type": "default", "ui_hints": {"index": 1}}, "endpoint_name": {"type":
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+        "allow_manual_entry": false, "is_multi_select": false, "input_type": "default",
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+        "allow_manual_entry": true, "is_multi_select": false, "input_type": "default",
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+        "is_multi_select": false, "input_type": "default", "ui_hints": {"index": 5}},
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+        "is_multi_select": false, "input_type": "default", "ui_hints": {"index": 2}},
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+        "is_builtin": true, "package": "promptflow-tools", "package_version": "1.4.0rc1",
+        "default_prompt": "# system:\nAs an AI assistant, your task involves interpreting
+        images and responding to questions about the image.\nRemember to provide accurate
+        answers based on the information present in the image.\n\n# user:\nCan you
+        tell me what the image depicts?\n![image]({{image_input}})\n", "enable_kwargs":
+        false, "tool_state": "preview"}, {"name": "Serp API", "type": "python", "inputs":
+        {"connection": {"type": ["SerpConnection"], "allow_manual_entry": false, "is_multi_select":
+        false, "input_type": "default"}, "engine": {"type": ["string"], "default":
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+        false, "input_type": "default"}, "query": {"type": ["string"], "allow_manual_entry":
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+        ["string"], "default": "off", "enum": ["active", "off"], "allow_manual_entry":
+        false, "is_multi_select": false, "input_type": "default"}}, "description":
+        "Use Serp API to obtain search results from a specific search engine.", "module":
+        "promptflow.tools.serpapi", "class_name": "SerpAPI", "function": "search",
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+        "func_kwargs": [{"name": "acs_connection", "optional": false, "reference":
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+        {"name": "acs_index_name", "optional": false, "reference": "${inputs.acs_index_name}",
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+        "allow_manual_entry": false, "is_multi_select": false, "input_type": "uionly_hidden"},
+        "acs_metadata_field": {"type": ["string"], "enabled_by": "index_type", "enabled_by_value":
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+        "func_kwargs": [{"name": "acs_connection", "optional": false, "reference":
+        "${inputs.acs_index_connection}", "type": ["CognitiveSearchConnection"]},
+        {"name": "acs_index_name", "optional": false, "reference": "${inputs.acs_index_name}",
+        "type": ["string"]}, {"default": "Edm.String", "name": "field_data_type",
+        "optional": false, "type": ["string"]}]}, "allow_manual_entry": false, "is_multi_select":
+        false, "input_type": "uionly_hidden"}, "aoai_embedding_connection": {"type":
+        ["AzureOpenAIConnection"], "enabled_by": "embedding_type", "enabled_by_value":
+        ["Azure OpenAI"], "allow_manual_entry": false, "is_multi_select": false, "input_type":
+        "uionly_hidden"}, "embedding_deployment": {"type": ["string"], "enabled_by":
+        "embedding_type", "enabled_by_value": ["Azure OpenAI"], "dynamic_list": {"func_path":
+        "promptflow_vectordb.tool.common_index_lookup_utils.list_aoai_embedding_deployments",
+        "func_kwargs": [{"name": "aoai_connection", "optional": false, "reference":
+        "${inputs.aoai_embedding_connection}", "type": ["AzurOpenAIConnection"]}]},
+        "allow_manual_entry": false, "is_multi_select": false, "input_type": "uionly_hidden"},
+        "embedding_model": {"type": ["string"], "enabled_by": "embedding_type", "enabled_by_value":
+        ["OpenAI", "Hugging Face"], "dynamic_list": {"func_path": "promptflow_vectordb.tool.common_index_lookup_utils.list_embedding_models",
+        "func_kwargs": [{"name": "embedding_type", "optional": false, "reference":
+        "${inputs.embedding_type}", "type": ["string"]}]}, "allow_manual_entry": false,
+        "is_multi_select": false, "input_type": "uionly_hidden"}, "embedding_type":
+        {"type": ["string"], "enabled_by": "index_type", "enabled_by_value": ["Azure
+        AI Search", "FAISS", "Pinecone"], "dynamic_list": {"func_path": "promptflow_vectordb.tool.common_index_lookup_utils.list_available_embedding_types",
+        "func_kwargs": [{"name": "index_type", "optional": false, "reference": "${inputs.index_type}",
+        "type": ["string"]}]}, "allow_manual_entry": false, "is_multi_select": false,
+        "input_type": "uionly_hidden"}, "faiss_index_path": {"type": ["string"], "enabled_by":
+        "index_type", "enabled_by_value": ["FAISS"], "allow_manual_entry": false,
+        "is_multi_select": false, "input_type": "uionly_hidden"}, "index_type": {"type":
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+        "allow_manual_entry": false, "is_multi_select": false, "input_type": "uionly_hidden"},
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+        "optional": true, "reference": "${inputs.mlindex_path}", "type": ["string"]},
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+        "optional": true, "reference": "${inputs.acs_metadata_field}", "type": ["string"]},
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+        "optional": true, "reference": "${inputs.pinecone_index_connection}", "type":
+        ["string"]}, {"name": "pinecone_index_name", "optional": true, "reference":
+        "${inputs.pinecone_index_name}", "type": ["string"]}, {"name": "pinecone_content_field",
+        "optional": true, "reference": "${inputs.pinecone_content_field}", "type":
+        ["string"]}, {"name": "pinecone_metadata_field", "optional": true, "reference":
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+        "optional": true, "reference": "${inputs.embedding_type}", "type": ["string"]},
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+        "type": ["AzureOpenAIConnection"]}, {"name": "oai_embedding_connection", "optional":
+        true, "reference": "${inputs.oai_embedding_connection}", "type": ["string"]},
+        {"name": "embedding_model", "optional": true, "reference": "${inputs.embedding_model}",
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+        "${inputs.mlindex_content}", "type": ["string"]}]}, "allow_manual_entry":
+        false, "is_multi_select": false, "input_type": "default"}, "semantic_configuration":
+        {"type": ["string"], "enabled_by": "index_type", "enabled_by_value": ["Azure
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+        "${inputs.acs_index_connection}", "type": ["CognitiveSearchConnection"]},
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+        "stable"}], "inputs": {"name": {"type": "string", "default": "hod", "is_chat_input":
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+        "inputsMapping": {"name": "${data.url}"}, "outputDatastoreName": "workspaceblobstore",
+        "childRunBasePath": "promptflow/PromptFlowArtifacts/batch_run_name/flow_artifacts",
+        "flowDagFileRelativePath": "flow.dag.yaml", "flowSnapshotId": "6f5e65d2-6446-4f71-a1fa-838ae87e6bd5",
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+      strict-transport-security:
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+      - Accept-Encoding
+      x-content-type-options:
+      - nosniff
+      x-request-time:
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+    status:
+      code: 200
+      message: OK
+- request:
+    body: null
+    headers:
+      Accept:
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+      Accept-Encoding:
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+      Connection:
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+      User-Agent:
+      - promptflow-sdk/0.0.1 azsdk-python-azuremachinelearningdesignerserviceclient/unknown
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+    uri: https://eastus.api.azureml.ms/flow/api/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/BulkRuns/batch_run_name
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+    body:
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+        "source": {"type": "code", "path": "hello_world.py"}, "inputs": {"name": "${inputs.name}"},
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+        "allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
+        "hate_category": {"type": ["string"], "default": "medium_sensitivity", "enum":
+        ["disable", "low_sensitivity", "medium_sensitivity", "high_sensitivity"],
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+        "self_harm_category": {"type": ["string"], "default": "medium_sensitivity",
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+        "allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
+        "sexual_category": {"type": ["string"], "default": "medium_sensitivity", "enum":
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+        "high_sensitivity"], "allow_manual_entry": false, "is_multi_select": false,
+        "input_type": "default"}}, "description": "Use Azure Content Safety to detect
+        harmful content.", "module": "promptflow.tools.azure_content_safety", "function":
+        "analyze_text", "is_builtin": true, "package": "promptflow-tools", "package_version":
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+        "tool_state": "stable"}, {"name": "Embedding", "type": "python", "inputs":
+        {"connection": {"type": ["AzureOpenAIConnection", "OpenAIConnection"], "allow_manual_entry":
+        false, "is_multi_select": false, "input_type": "default"}, "deployment_name":
+        {"type": ["string"], "enabled_by": "connection", "enabled_by_type": ["AzureOpenAIConnection"],
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+        an AzureML Online Endpoint for LLM Chat or Completion API calls.", "module":
+        "promptflow.tools.open_model_llm", "class_name": "OpenModelLLM", "function":
+        "call", "icon": "data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAABAAAAAQCAYAAAAf8/9hAAACgElEQVR4nGWSz2vcVRTFP/e9NzOZ1KDGohASslLEH6VLV0ak4l/QpeDCrfQPcNGliODKnVm4EBdBsIjQIlhciKW0ycKFVCSNbYnjdDLtmPnmO/nO9917XcxMkjYX3uLx7nnn3HOuMK2Nix4fP78ZdrYXVkLVWjf3l3B1B+HpcjzGFtmqa6cePz7/x0dnn1n5qhj3iBJPYREIURAJuCtpY8PjReDbrf9WG7H1fuefwQU9qKztTcMJT+PNnEFvjGVDBDlSsH6p/9MLzy6+NxwVqI8RAg4IPmWedMckdLYP6O6UpIaQfvyyXG012+e79/ZfHukoS1ISMT2hGTB1RkUmNgQ5QZ0w+a2VWDq73MbdEWmfnnv6UWe7oNzPaLapl5CwuLTXK9WUGBuCjqekzhP+z52ZXOrKMD3OJg0Hh778aiOuvpnYvp05d6GJO4iAO4QAe/eV36/X5LFRV4Zmn+AdkqlL8Vjp3oVioOz+WTPzzYEgsN+fgPLYyJVheSbPPVl2ikeGZRjtG52/8rHuaV9VOlpP2OtKyVndcRVCSqOhsvxa4vW359i6OuKdD+aP8Q4SYPdOzS/flGjt1JUSaMqZ5nwa1Y8qWb/Ud/eZZkHisYezEM0m+fcelDr8F1SqW2LNK6r1jXQwyLzy1hxvrLXZulry7ocL+FS6G4QIu3fG/Px1gdYeW7LIgXU2P/115TOA5G7e3Rmj2aS/m7l5pThiZzrCcE/d1XHzbln373nw7y6veeoUm5KCNKT/IPPwbiY1hYd/l5MIT65BMFt87sU4v9D7/JMflr44uV6hGh1+L4RCkg6z5iK2tAhNLeLsNGwYA4fDYnC/drvuuFxe86NV/x+Ut27g0FvykgAAAABJRU5ErkJggg==",
+        "is_builtin": true, "package": "promptflow-tools", "package_version": "1.4.0rc1",
+        "enable_kwargs": false, "tool_state": "stable"}, {"name": "OpenAI GPT-4V",
+        "type": "custom_llm", "inputs": {"connection": {"type": ["OpenAIConnection"],
+        "allow_manual_entry": false, "is_multi_select": false, "input_type": "default",
+        "ui_hints": {"index": 0}}, "frequency_penalty": {"type": ["double"], "default":
+        0, "allow_manual_entry": false, "is_multi_select": false, "input_type": "default",
+        "ui_hints": {"index": 7}}, "max_tokens": {"type": ["int"], "default": 512,
+        "allow_manual_entry": false, "is_multi_select": false, "input_type": "default",
+        "ui_hints": {"index": 4}}, "model": {"type": ["string"], "enum": ["gpt-4-vision-preview"],
+        "allow_manual_entry": true, "is_multi_select": false, "input_type": "default",
+        "ui_hints": {"index": 1}}, "presence_penalty": {"type": ["double"], "default":
+        0, "allow_manual_entry": false, "is_multi_select": false, "input_type": "default",
+        "ui_hints": {"index": 6}}, "seed": {"type": ["int"], "default": "", "allow_manual_entry":
+        false, "is_multi_select": false, "input_type": "default", "ui_hints": {"index":
+        8}}, "stop": {"type": ["list"], "default": "", "allow_manual_entry": false,
+        "is_multi_select": false, "input_type": "default", "ui_hints": {"index": 5}},
+        "temperature": {"type": ["double"], "default": 1, "allow_manual_entry": false,
+        "is_multi_select": false, "input_type": "default", "ui_hints": {"index": 2}},
+        "top_p": {"type": ["double"], "default": 1, "allow_manual_entry": false, "is_multi_select":
+        false, "input_type": "default", "ui_hints": {"index": 3}}}, "description":
+        "Use OpenAI GPT-4V to leverage vision ability.", "module": "promptflow.tools.openai_gpt4v",
+        "class_name": "OpenAI", "function": "chat", "icon": {"dark": "data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAABAAAAAQCAYAAAAf8/9hAAAA2ElEQVR4nJXSzW3CQBAF4DUSTjk+Al1AD0ikESslpBIEheRALhEpgAYSWV8OGUublf/yLuP3PPNmdndS+gdwXZrYDmh7fGE/W+wXbaYd8IYm4rxJPnZ0boI3wZcdJxs/n+AwV7DFK7aFyfQdYIMLPvES8YJNf5yp4jMeeEYdWh38gXOR35YGHe5xabvQdsHv6PLi8qV6gycc8YH3iMfQu6Lh4ASr+F5Hh3XwVWnQYzUkVlX1nccplAb1SN6Y/sfgmlK64VS8wimldIv/0yj2QLkHizG0iWP4AVAfQ34DVQONAAAAAElFTkSuQmCC",
+        "light": "data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAABAAAAAQCAYAAAAf8/9hAAAAx0lEQVR4nJWSwQ2CQBBFX0jAcjgqXUgPJNiIsQQrIVCIFy8GC6ABDcGDX7Mus9n1Xz7zZ+fPsLPwH4bUg0dD2wMPcbR48Uxq4AKU4iSTDwZ1LhWXipN/B3V0J6hjBTvgLHZNonewBXrgDpzEvXSIjN0BE3AACmmF4kl5F6tNzcCoLpW0SvGovFvsb4oZ2AANcAOu4ka6axCcINN3rg654sww+CYsPD0OwjcozFNh/Qcd78tqVbCIW+n+Fky472Bh/Q6SYb1EEy8tDzd+9IsVPAAAAABJRU5ErkJggg=="},
+        "is_builtin": true, "package": "promptflow-tools", "package_version": "1.4.0rc1",
+        "default_prompt": "# system:\nAs an AI assistant, your task involves interpreting
+        images and responding to questions about the image.\nRemember to provide accurate
+        answers based on the information present in the image.\n\n# user:\nCan you
+        tell me what the image depicts?\n![image]({{image_input}})\n", "enable_kwargs":
+        false, "tool_state": "preview"}, {"name": "Serp API", "type": "python", "inputs":
+        {"connection": {"type": ["SerpConnection"], "allow_manual_entry": false, "is_multi_select":
+        false, "input_type": "default"}, "engine": {"type": ["string"], "default":
+        "google", "enum": ["google", "bing"], "allow_manual_entry": false, "is_multi_select":
+        false, "input_type": "default"}, "location": {"type": ["string"], "default":
+        "", "allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
+        "num": {"type": ["int"], "default": "10", "allow_manual_entry": false, "is_multi_select":
+        false, "input_type": "default"}, "query": {"type": ["string"], "allow_manual_entry":
+        false, "is_multi_select": false, "input_type": "default"}, "safe": {"type":
+        ["string"], "default": "off", "enum": ["active", "off"], "allow_manual_entry":
+        false, "is_multi_select": false, "input_type": "default"}}, "description":
+        "Use Serp API to obtain search results from a specific search engine.", "module":
+        "promptflow.tools.serpapi", "class_name": "SerpAPI", "function": "search",
+        "is_builtin": true, "package": "promptflow-tools", "package_version": "1.4.0rc1",
+        "enable_kwargs": false, "tool_state": "stable"}, {"name": "Index Lookup",
+        "type": "python", "inputs": {"acs_content_field": {"type": ["string"], "enabled_by":
+        "index_type", "enabled_by_value": ["Azure AI Search"], "dynamic_list": {"func_path":
+        "promptflow_vectordb.tool.common_index_lookup_utils.list_acs_index_fields",
+        "func_kwargs": [{"name": "acs_connection", "optional": false, "reference":
+        "${inputs.acs_index_connection}", "type": ["CognitiveSearchConnection"]},
+        {"name": "acs_index_name", "optional": false, "reference": "${inputs.acs_index_name}",
+        "type": ["string"]}, {"default": "Edm.String", "name": "field_data_type",
+        "optional": false, "type": ["string"]}]}, "allow_manual_entry": false, "is_multi_select":
+        false, "input_type": "uionly_hidden"}, "acs_embedding_field": {"type": ["string"],
+        "enabled_by": "index_type", "enabled_by_value": ["Azure AI Search"], "dynamic_list":
+        {"func_path": "promptflow_vectordb.tool.common_index_lookup_utils.list_acs_index_fields",
+        "func_kwargs": [{"name": "acs_connection", "optional": false, "reference":
+        "${inputs.acs_index_connection}", "type": ["CognitiveSearchConnection"]},
+        {"name": "acs_index_name", "optional": false, "reference": "${inputs.acs_index_name}",
+        "type": ["string"]}, {"default": "Collection(Edm.Single)", "name": "field_data_type",
+        "optional": false, "type": ["string"]}]}, "allow_manual_entry": false, "is_multi_select":
+        false, "input_type": "uionly_hidden"}, "acs_index_connection": {"type": ["CognitiveSearchConnection"],
+        "enabled_by": "index_type", "enabled_by_value": ["Azure AI Search"], "allow_manual_entry":
+        false, "is_multi_select": false, "input_type": "uionly_hidden"}, "acs_index_name":
+        {"type": ["string"], "enabled_by": "index_type", "enabled_by_value": ["Azure
+        AI Search"], "dynamic_list": {"func_path": "promptflow_vectordb.tool.common_index_lookup_utils.list_acs_indices",
+        "func_kwargs": [{"name": "acs_connection", "optional": false, "reference":
+        "${inputs.acs_index_connection}", "type": ["CognitiveSearchConnection"]}]},
+        "allow_manual_entry": false, "is_multi_select": false, "input_type": "uionly_hidden"},
+        "acs_metadata_field": {"type": ["string"], "enabled_by": "index_type", "enabled_by_value":
+        ["Azure AI Search"], "dynamic_list": {"func_path": "promptflow_vectordb.tool.common_index_lookup_utils.list_acs_index_fields",
+        "func_kwargs": [{"name": "acs_connection", "optional": false, "reference":
+        "${inputs.acs_index_connection}", "type": ["CognitiveSearchConnection"]},
+        {"name": "acs_index_name", "optional": false, "reference": "${inputs.acs_index_name}",
+        "type": ["string"]}, {"default": "Edm.String", "name": "field_data_type",
+        "optional": false, "type": ["string"]}]}, "allow_manual_entry": false, "is_multi_select":
+        false, "input_type": "uionly_hidden"}, "aoai_embedding_connection": {"type":
+        ["AzureOpenAIConnection"], "enabled_by": "embedding_type", "enabled_by_value":
+        ["Azure OpenAI"], "allow_manual_entry": false, "is_multi_select": false, "input_type":
+        "uionly_hidden"}, "embedding_deployment": {"type": ["string"], "enabled_by":
+        "embedding_type", "enabled_by_value": ["Azure OpenAI"], "dynamic_list": {"func_path":
+        "promptflow_vectordb.tool.common_index_lookup_utils.list_aoai_embedding_deployments",
+        "func_kwargs": [{"name": "aoai_connection", "optional": false, "reference":
+        "${inputs.aoai_embedding_connection}", "type": ["AzurOpenAIConnection"]}]},
+        "allow_manual_entry": false, "is_multi_select": false, "input_type": "uionly_hidden"},
+        "embedding_model": {"type": ["string"], "enabled_by": "embedding_type", "enabled_by_value":
+        ["OpenAI", "Hugging Face"], "dynamic_list": {"func_path": "promptflow_vectordb.tool.common_index_lookup_utils.list_embedding_models",
+        "func_kwargs": [{"name": "embedding_type", "optional": false, "reference":
+        "${inputs.embedding_type}", "type": ["string"]}]}, "allow_manual_entry": false,
+        "is_multi_select": false, "input_type": "uionly_hidden"}, "embedding_type":
+        {"type": ["string"], "enabled_by": "index_type", "enabled_by_value": ["Azure
+        AI Search", "FAISS", "Pinecone"], "dynamic_list": {"func_path": "promptflow_vectordb.tool.common_index_lookup_utils.list_available_embedding_types",
+        "func_kwargs": [{"name": "index_type", "optional": false, "reference": "${inputs.index_type}",
+        "type": ["string"]}]}, "allow_manual_entry": false, "is_multi_select": false,
+        "input_type": "uionly_hidden"}, "faiss_index_path": {"type": ["string"], "enabled_by":
+        "index_type", "enabled_by_value": ["FAISS"], "allow_manual_entry": false,
+        "is_multi_select": false, "input_type": "uionly_hidden"}, "index_type": {"type":
+        ["string"], "dynamic_list": {"func_path": "promptflow_vectordb.tool.common_index_lookup_utils.list_available_index_types"},
+        "allow_manual_entry": false, "is_multi_select": false, "input_type": "uionly_hidden"},
+        "mlindex_asset_id": {"type": ["string"], "enabled_by": "index_type", "enabled_by_value":
+        ["Registered Index"], "dynamic_list": {"func_path": "promptflow_vectordb.tool.common_index_lookup_utils.list_registered_mlindices"},
+        "allow_manual_entry": false, "is_multi_select": false, "input_type": "uionly_hidden"},
+        "mlindex_content": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
+        false, "generated_by": {"func_path": "promptflow_vectordb.tool.common_index_lookup_utils.forward_mapping",
+        "func_kwargs": [{"name": "index_type", "reference": "${inputs.index_type}",
+        "type": ["string"]}, {"name": "mlindex_asset_id", "optional": true, "reference":
+        "${inputs.mlindex_asset_id}", "type": ["string"]}, {"name": "mlindex_path",
+        "optional": true, "reference": "${inputs.mlindex_path}", "type": ["string"]},
+        {"name": "acs_index_connection", "optional": true, "reference": "${inputs.acs_index_connection}",
+        "type": ["CognitiveSearchConnection"]}, {"name": "acs_index_name", "optional":
+        true, "reference": "${inputs.acs_index_name}", "type": ["string"]}, {"name":
+        "acs_content_field", "optional": true, "reference": "${inputs.acs_content_field}",
+        "type": ["string"]}, {"name": "acs_embedding_field", "optional": true, "reference":
+        "${inputs.acs_embedding_field}", "type": ["string"]}, {"name": "acs_metadata_field",
+        "optional": true, "reference": "${inputs.acs_metadata_field}", "type": ["string"]},
+        {"name": "semantic_configuration", "optional": true, "reference": "${inputs.semantic_configuration}",
+        "type": ["string"]}, {"name": "faiss_index_path", "optional": true, "reference":
+        "${inputs.faiss_index_path}", "type": ["string"]}, {"name": "pinecone_index_connection",
+        "optional": true, "reference": "${inputs.pinecone_index_connection}", "type":
+        ["string"]}, {"name": "pinecone_index_name", "optional": true, "reference":
+        "${inputs.pinecone_index_name}", "type": ["string"]}, {"name": "pinecone_content_field",
+        "optional": true, "reference": "${inputs.pinecone_content_field}", "type":
+        ["string"]}, {"name": "pinecone_metadata_field", "optional": true, "reference":
+        "${inputs.pinecone_metadata_field}", "type": ["string"]}, {"name": "embedding_type",
+        "optional": true, "reference": "${inputs.embedding_type}", "type": ["string"]},
+        {"name": "aoai_embedding_connection", "optional": true, "reference": "${inputs.aoai_embedding_connection}",
+        "type": ["AzureOpenAIConnection"]}, {"name": "oai_embedding_connection", "optional":
+        true, "reference": "${inputs.oai_embedding_connection}", "type": ["string"]},
+        {"name": "embedding_model", "optional": true, "reference": "${inputs.embedding_model}",
+        "type": ["string"]}, {"name": "embedding_deployment", "optional": true, "reference":
+        "${inputs.embedding_deployment}", "type": ["string"]}], "reverse_func_path":
+        "promptflow_vectordb.tool.common_index_lookup_utils.reverse_mapping"}, "input_type":
+        "default"}, "mlindex_path": {"type": ["string"], "enabled_by": "index_type",
+        "enabled_by_value": ["MLIndex file from path"], "allow_manual_entry": false,
+        "is_multi_select": false, "input_type": "uionly_hidden"}, "oai_embedding_connection":
+        {"type": ["OpenAIConnection"], "enabled_by": "embedding_type", "enabled_by_value":
+        ["OpenAI"], "allow_manual_entry": false, "is_multi_select": false, "input_type":
+        "uionly_hidden"}, "pinecone_content_field": {"type": ["string"], "enabled_by":
+        "index_type", "enabled_by_value": ["Pinecone"], "allow_manual_entry": false,
+        "is_multi_select": false, "input_type": "uionly_hidden"}, "pinecone_index_connection":
+        {"type": ["PineconeConnection"], "enabled_by": "index_type", "enabled_by_value":
+        ["Pinecone"], "dynamic_list": {"func_path": "promptflow_vectordb.tool.common_index_lookup_utils.list_pinecone_connections"},
+        "allow_manual_entry": false, "is_multi_select": false, "input_type": "uionly_hidden"},
+        "pinecone_index_name": {"type": ["string"], "enabled_by": "index_type", "enabled_by_value":
+        ["Pinecone"], "dynamic_list": {"func_path": "promptflow_vectordb.tool.common_index_lookup_utils.list_pinecone_indices",
+        "func_kwargs": [{"name": "pinecone_connection_name", "optional": false, "reference":
+        "${inputs.pinecone_index_connection}", "type": ["string"]}]}, "allow_manual_entry":
+        false, "is_multi_select": false, "input_type": "uionly_hidden"}, "pinecone_metadata_field":
+        {"type": ["string"], "enabled_by": "index_type", "enabled_by_value": ["Pinecone"],
+        "allow_manual_entry": false, "is_multi_select": false, "input_type": "uionly_hidden"},
+        "queries": {"type": ["object"], "allow_manual_entry": false, "is_multi_select":
+        false, "input_type": "default"}, "query_type": {"type": ["string"], "dynamic_list":
+        {"func_path": "promptflow_vectordb.tool.common_index_lookup_utils.list_available_query_types",
+        "func_kwargs": [{"name": "mlindex_content", "optional": false, "reference":
+        "${inputs.mlindex_content}", "type": ["string"]}]}, "allow_manual_entry":
+        false, "is_multi_select": false, "input_type": "default"}, "semantic_configuration":
+        {"type": ["string"], "enabled_by": "index_type", "enabled_by_value": ["Azure
+        AI Search"], "dynamic_list": {"func_path": "promptflow_vectordb.tool.common_index_lookup_utils.list_acs_index_semantic_configurations",
+        "func_kwargs": [{"name": "acs_connection", "optional": false, "reference":
+        "${inputs.acs_index_connection}", "type": ["CognitiveSearchConnection"]},
+        {"name": "acs_index_name", "optional": false, "reference": "${inputs.acs_index_name}",
+        "type": ["string"]}]}, "allow_manual_entry": false, "is_multi_select": false,
+        "input_type": "uionly_hidden"}, "top_k": {"type": ["int"], "default": 3, "allow_manual_entry":
+        false, "is_multi_select": false, "input_type": "default"}}, "description":
+        "Search an AzureML Vector Index for relevant results using one or more text
+        queries.", "module": "promptflow_vectordb.tool.common_index_lookup", "function":
+        "search", "is_builtin": true, "package": "promptflow_vectordb", "package_version":
+        "0.2.4", "enable_kwargs": false, "tool_state": "preview"}, {"name": "Faiss
+        Index Lookup", "type": "python", "inputs": {"path": {"type": ["string"], "allow_manual_entry":
+        false, "is_multi_select": false, "input_type": "default"}, "top_k": {"type":
+        ["int"], "default": "3", "allow_manual_entry": false, "is_multi_select": false,
+        "input_type": "default"}, "vector": {"type": ["list"], "allow_manual_entry":
+        false, "is_multi_select": false, "input_type": "default"}}, "description":
+        "Search vector based query from the FAISS index file.", "module": "promptflow_vectordb.tool.faiss_index_lookup",
+        "class_name": "FaissIndexLookup", "function": "search", "is_builtin": true,
+        "package": "promptflow_vectordb", "package_version": "0.2.4", "enable_kwargs":
+        false, "tool_state": "deprecated"}, {"name": "Vector DB Lookup", "type": "python",
+        "inputs": {"class_name": {"type": ["string"], "enabled_by": "connection",
+        "enabled_by_type": ["WeaviateConnection"], "allow_manual_entry": false, "is_multi_select":
+        false, "input_type": "default"}, "collection_name": {"type": ["string"], "enabled_by":
+        "connection", "enabled_by_type": ["QdrantConnection"], "allow_manual_entry":
+        false, "is_multi_select": false, "input_type": "default"}, "connection": {"type":
+        ["CognitiveSearchConnection", "QdrantConnection", "WeaviateConnection"], "allow_manual_entry":
+        false, "is_multi_select": false, "input_type": "default"}, "index_name": {"type":
+        ["string"], "enabled_by": "connection", "enabled_by_type": ["CognitiveSearchConnection"],
+        "allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
+        "search_filters": {"type": ["object"], "enabled_by": "connection", "enabled_by_type":
+        ["CognitiveSearchConnection", "QdrantConnection"], "allow_manual_entry": false,
+        "is_multi_select": false, "input_type": "default"}, "search_params": {"type":
+        ["object"], "enabled_by": "connection", "enabled_by_type": ["CognitiveSearchConnection",
+        "QdrantConnection"], "allow_manual_entry": false, "is_multi_select": false,
+        "input_type": "default"}, "text_field": {"type": ["string"], "enabled_by":
+        "connection", "enabled_by_type": ["CognitiveSearchConnection", "QdrantConnection",
+        "WeaviateConnection"], "allow_manual_entry": false, "is_multi_select": false,
+        "input_type": "default"}, "top_k": {"type": ["int"], "default": "3", "allow_manual_entry":
+        false, "is_multi_select": false, "input_type": "default"}, "vector": {"type":
+        ["list"], "allow_manual_entry": false, "is_multi_select": false, "input_type":
+        "default"}, "vector_field": {"type": ["string"], "enabled_by": "connection",
+        "enabled_by_type": ["CognitiveSearchConnection"], "allow_manual_entry": false,
+        "is_multi_select": false, "input_type": "default"}}, "description": "Search
+        vector based query from existing Vector Database.", "module": "promptflow_vectordb.tool.vector_db_lookup",
+        "class_name": "VectorDBLookup", "function": "search", "is_builtin": true,
+        "package": "promptflow_vectordb", "package_version": "0.2.4", "enable_kwargs":
+        false, "tool_state": "deprecated"}, {"name": "Vector Index Lookup", "type":
+        "python", "inputs": {"path": {"type": ["string"], "allow_manual_entry": false,
+        "is_multi_select": false, "input_type": "default"}, "query": {"type": ["object"],
+        "allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
+        "top_k": {"type": ["int"], "default": "3", "allow_manual_entry": false, "is_multi_select":
+        false, "input_type": "default"}}, "description": "Search text or vector based
+        query from AzureML Vector Index.", "module": "promptflow_vectordb.tool.vector_index_lookup",
+        "class_name": "VectorIndexLookup", "function": "search", "is_builtin": true,
+        "package": "promptflow_vectordb", "package_version": "0.2.4", "enable_kwargs":
+        false, "tool_state": "deprecated"}, {"name": "hello_world.py", "type": "python",
+        "inputs": {"name": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
+        false, "input_type": "default"}}, "source": "hello_world.py", "function":
+        "hello_world", "is_builtin": false, "enable_kwargs": false, "tool_state":
+        "stable"}], "inputs": {"name": {"type": "string", "default": "hod", "is_chat_input":
+        false}}, "outputs": {"result": {"type": "string", "reference": "${hello_world.output}",
+        "evaluation_only": false, "is_chat_output": false}}}, "flowRunResourceId":
+        "azureml://locations/eastus/workspaces/00000/flows/batch_run_name/flowRuns/batch_run_name",
+        "flowRunId": "batch_run_name", "flowRunDisplayName": "sdk-cli-test-fixture-batch-run-without-llm",
+        "batchDataInput": {"dataUri": "azureml://datastores/workspaceblobstore/paths/LocalUpload/74c11bba717480b2d6b04b8e746d09d7/webClassification3.jsonl"},
+        "flowRunType": "FlowRun", "flowType": "Default", "runtimeName": "automatic",
+        "inputsMapping": {"name": "${data.url}"}, "outputDatastoreName": "workspaceblobstore",
+        "childRunBasePath": "promptflow/PromptFlowArtifacts/batch_run_name/flow_artifacts",
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+      x-request-time:
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+    status:
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+      message: OK
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+    headers:
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+      Accept-Encoding:
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+    uri: https://eastus.api.azureml.ms/flow/api/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/BulkRuns/batch_run_name
+  response:
+    body:
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+        "source": {"type": "code", "path": "hello_world.py"}, "inputs": {"name": "${inputs.name}"},
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+        "is_builtin": true, "package": "promptflow-tools", "package_version": "1.4.0rc1",
+        "default_prompt": "# system:\nAs an AI assistant, your task involves interpreting
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+        "allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
+        "hate_category": {"type": ["string"], "default": "medium_sensitivity", "enum":
+        ["disable", "low_sensitivity", "medium_sensitivity", "high_sensitivity"],
+        "allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
+        "self_harm_category": {"type": ["string"], "default": "medium_sensitivity",
+        "enum": ["disable", "low_sensitivity", "medium_sensitivity", "high_sensitivity"],
+        "allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
+        "sexual_category": {"type": ["string"], "default": "medium_sensitivity", "enum":
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+        "high_sensitivity"], "allow_manual_entry": false, "is_multi_select": false,
+        "input_type": "default"}}, "description": "Use Azure Content Safety to detect
+        harmful content.", "module": "promptflow.tools.azure_content_safety", "function":
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+        "tool_state": "stable"}, {"name": "Embedding", "type": "python", "inputs":
+        {"connection": {"type": ["AzureOpenAIConnection", "OpenAIConnection"], "allow_manual_entry":
+        false, "is_multi_select": false, "input_type": "default"}, "deployment_name":
+        {"type": ["string"], "enabled_by": "connection", "enabled_by_type": ["AzureOpenAIConnection"],
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+        "promptflow.tools.embedding", "function": "embedding", "is_builtin": true,
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+        "input_type": "default", "ui_hints": {"index": 1}}, "endpoint_name": {"type":
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+        "allow_manual_entry": true, "is_multi_select": false, "input_type": "default",
+        "ui_hints": {"index": 0}}, "max_new_tokens": {"type": ["int"], "default":
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+        "is_multi_select": false, "input_type": "default", "ui_hints": {"index": 2}},
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+        false, "input_type": "default", "ui_hints": {"index": 3}}}, "description":
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+        "is_builtin": true, "package": "promptflow-tools", "package_version": "1.4.0rc1",
+        "default_prompt": "# system:\nAs an AI assistant, your task involves interpreting
+        images and responding to questions about the image.\nRemember to provide accurate
+        answers based on the information present in the image.\n\n# user:\nCan you
+        tell me what the image depicts?\n![image]({{image_input}})\n", "enable_kwargs":
+        false, "tool_state": "preview"}, {"name": "Serp API", "type": "python", "inputs":
+        {"connection": {"type": ["SerpConnection"], "allow_manual_entry": false, "is_multi_select":
+        false, "input_type": "default"}, "engine": {"type": ["string"], "default":
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+        false, "input_type": "default"}, "location": {"type": ["string"], "default":
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+        false, "input_type": "default"}, "query": {"type": ["string"], "allow_manual_entry":
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+        ["string"], "default": "off", "enum": ["active", "off"], "allow_manual_entry":
+        false, "is_multi_select": false, "input_type": "default"}}, "description":
+        "Use Serp API to obtain search results from a specific search engine.", "module":
+        "promptflow.tools.serpapi", "class_name": "SerpAPI", "function": "search",
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+        "func_kwargs": [{"name": "acs_connection", "optional": false, "reference":
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+        {"name": "acs_index_name", "optional": false, "reference": "${inputs.acs_index_name}",
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+        "func_kwargs": [{"name": "acs_connection", "optional": false, "reference":
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+        "allow_manual_entry": false, "is_multi_select": false, "input_type": "uionly_hidden"},
+        "acs_metadata_field": {"type": ["string"], "enabled_by": "index_type", "enabled_by_value":
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+        "func_kwargs": [{"name": "acs_connection", "optional": false, "reference":
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+        {"name": "acs_index_name", "optional": false, "reference": "${inputs.acs_index_name}",
+        "type": ["string"]}, {"default": "Edm.String", "name": "field_data_type",
+        "optional": false, "type": ["string"]}]}, "allow_manual_entry": false, "is_multi_select":
+        false, "input_type": "uionly_hidden"}, "aoai_embedding_connection": {"type":
+        ["AzureOpenAIConnection"], "enabled_by": "embedding_type", "enabled_by_value":
+        ["Azure OpenAI"], "allow_manual_entry": false, "is_multi_select": false, "input_type":
+        "uionly_hidden"}, "embedding_deployment": {"type": ["string"], "enabled_by":
+        "embedding_type", "enabled_by_value": ["Azure OpenAI"], "dynamic_list": {"func_path":
+        "promptflow_vectordb.tool.common_index_lookup_utils.list_aoai_embedding_deployments",
+        "func_kwargs": [{"name": "aoai_connection", "optional": false, "reference":
+        "${inputs.aoai_embedding_connection}", "type": ["AzurOpenAIConnection"]}]},
+        "allow_manual_entry": false, "is_multi_select": false, "input_type": "uionly_hidden"},
+        "embedding_model": {"type": ["string"], "enabled_by": "embedding_type", "enabled_by_value":
+        ["OpenAI", "Hugging Face"], "dynamic_list": {"func_path": "promptflow_vectordb.tool.common_index_lookup_utils.list_embedding_models",
+        "func_kwargs": [{"name": "embedding_type", "optional": false, "reference":
+        "${inputs.embedding_type}", "type": ["string"]}]}, "allow_manual_entry": false,
+        "is_multi_select": false, "input_type": "uionly_hidden"}, "embedding_type":
+        {"type": ["string"], "enabled_by": "index_type", "enabled_by_value": ["Azure
+        AI Search", "FAISS", "Pinecone"], "dynamic_list": {"func_path": "promptflow_vectordb.tool.common_index_lookup_utils.list_available_embedding_types",
+        "func_kwargs": [{"name": "index_type", "optional": false, "reference": "${inputs.index_type}",
+        "type": ["string"]}]}, "allow_manual_entry": false, "is_multi_select": false,
+        "input_type": "uionly_hidden"}, "faiss_index_path": {"type": ["string"], "enabled_by":
+        "index_type", "enabled_by_value": ["FAISS"], "allow_manual_entry": false,
+        "is_multi_select": false, "input_type": "uionly_hidden"}, "index_type": {"type":
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+        "allow_manual_entry": false, "is_multi_select": false, "input_type": "uionly_hidden"},
+        "mlindex_asset_id": {"type": ["string"], "enabled_by": "index_type", "enabled_by_value":
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+        "allow_manual_entry": false, "is_multi_select": false, "input_type": "uionly_hidden"},
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+        "type": ["AzureOpenAIConnection"]}, {"name": "oai_embedding_connection", "optional":
+        true, "reference": "${inputs.oai_embedding_connection}", "type": ["string"]},
+        {"name": "embedding_model", "optional": true, "reference": "${inputs.embedding_model}",
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+        "${inputs.mlindex_content}", "type": ["string"]}]}, "allow_manual_entry":
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+      x-content-type-options:
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+      x-request-time:
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+    status:
+      code: 200
+      message: OK
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+    body: null
+    headers:
+      Accept:
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+      Accept-Encoding:
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+      Connection:
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+      User-Agent:
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+    uri: https://eastus.api.azureml.ms/flow/api/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/BulkRuns/batch_run_name
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+        "hate_category": {"type": ["string"], "default": "medium_sensitivity", "enum":
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+        "type": "custom_llm", "inputs": {"connection": {"type": ["OpenAIConnection"],
+        "allow_manual_entry": false, "is_multi_select": false, "input_type": "default",
+        "ui_hints": {"index": 0}}, "frequency_penalty": {"type": ["double"], "default":
+        0, "allow_manual_entry": false, "is_multi_select": false, "input_type": "default",
+        "ui_hints": {"index": 7}}, "max_tokens": {"type": ["int"], "default": 512,
+        "allow_manual_entry": false, "is_multi_select": false, "input_type": "default",
+        "ui_hints": {"index": 4}}, "model": {"type": ["string"], "enum": ["gpt-4-vision-preview"],
+        "allow_manual_entry": true, "is_multi_select": false, "input_type": "default",
+        "ui_hints": {"index": 1}}, "presence_penalty": {"type": ["double"], "default":
+        0, "allow_manual_entry": false, "is_multi_select": false, "input_type": "default",
+        "ui_hints": {"index": 6}}, "seed": {"type": ["int"], "default": "", "allow_manual_entry":
+        false, "is_multi_select": false, "input_type": "default", "ui_hints": {"index":
+        8}}, "stop": {"type": ["list"], "default": "", "allow_manual_entry": false,
+        "is_multi_select": false, "input_type": "default", "ui_hints": {"index": 5}},
+        "temperature": {"type": ["double"], "default": 1, "allow_manual_entry": false,
+        "is_multi_select": false, "input_type": "default", "ui_hints": {"index": 2}},
+        "top_p": {"type": ["double"], "default": 1, "allow_manual_entry": false, "is_multi_select":
+        false, "input_type": "default", "ui_hints": {"index": 3}}}, "description":
+        "Use OpenAI GPT-4V to leverage vision ability.", "module": "promptflow.tools.openai_gpt4v",
+        "class_name": "OpenAI", "function": "chat", "icon": {"dark": "data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAABAAAAAQCAYAAAAf8/9hAAAA2ElEQVR4nJXSzW3CQBAF4DUSTjk+Al1AD0ikESslpBIEheRALhEpgAYSWV8OGUublf/yLuP3PPNmdndS+gdwXZrYDmh7fGE/W+wXbaYd8IYm4rxJPnZ0boI3wZcdJxs/n+AwV7DFK7aFyfQdYIMLPvES8YJNf5yp4jMeeEYdWh38gXOR35YGHe5xabvQdsHv6PLi8qV6gycc8YH3iMfQu6Lh4ASr+F5Hh3XwVWnQYzUkVlX1nccplAb1SN6Y/sfgmlK64VS8wimldIv/0yj2QLkHizG0iWP4AVAfQ34DVQONAAAAAElFTkSuQmCC",
+        "light": "data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAABAAAAAQCAYAAAAf8/9hAAAAx0lEQVR4nJWSwQ2CQBBFX0jAcjgqXUgPJNiIsQQrIVCIFy8GC6ABDcGDX7Mus9n1Xz7zZ+fPsLPwH4bUg0dD2wMPcbR48Uxq4AKU4iSTDwZ1LhWXipN/B3V0J6hjBTvgLHZNonewBXrgDpzEvXSIjN0BE3AACmmF4kl5F6tNzcCoLpW0SvGovFvsb4oZ2AANcAOu4ka6axCcINN3rg654sww+CYsPD0OwjcozFNh/Qcd78tqVbCIW+n+Fky472Bh/Q6SYb1EEy8tDzd+9IsVPAAAAABJRU5ErkJggg=="},
+        "is_builtin": true, "package": "promptflow-tools", "package_version": "1.4.0rc1",
+        "default_prompt": "# system:\nAs an AI assistant, your task involves interpreting
+        images and responding to questions about the image.\nRemember to provide accurate
+        answers based on the information present in the image.\n\n# user:\nCan you
+        tell me what the image depicts?\n![image]({{image_input}})\n", "enable_kwargs":
+        false, "tool_state": "preview"}, {"name": "Serp API", "type": "python", "inputs":
+        {"connection": {"type": ["SerpConnection"], "allow_manual_entry": false, "is_multi_select":
+        false, "input_type": "default"}, "engine": {"type": ["string"], "default":
+        "google", "enum": ["google", "bing"], "allow_manual_entry": false, "is_multi_select":
+        false, "input_type": "default"}, "location": {"type": ["string"], "default":
+        "", "allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
+        "num": {"type": ["int"], "default": "10", "allow_manual_entry": false, "is_multi_select":
+        false, "input_type": "default"}, "query": {"type": ["string"], "allow_manual_entry":
+        false, "is_multi_select": false, "input_type": "default"}, "safe": {"type":
+        ["string"], "default": "off", "enum": ["active", "off"], "allow_manual_entry":
+        false, "is_multi_select": false, "input_type": "default"}}, "description":
+        "Use Serp API to obtain search results from a specific search engine.", "module":
+        "promptflow.tools.serpapi", "class_name": "SerpAPI", "function": "search",
+        "is_builtin": true, "package": "promptflow-tools", "package_version": "1.4.0rc1",
+        "enable_kwargs": false, "tool_state": "stable"}, {"name": "Index Lookup",
+        "type": "python", "inputs": {"acs_content_field": {"type": ["string"], "enabled_by":
+        "index_type", "enabled_by_value": ["Azure AI Search"], "dynamic_list": {"func_path":
+        "promptflow_vectordb.tool.common_index_lookup_utils.list_acs_index_fields",
+        "func_kwargs": [{"name": "acs_connection", "optional": false, "reference":
+        "${inputs.acs_index_connection}", "type": ["CognitiveSearchConnection"]},
+        {"name": "acs_index_name", "optional": false, "reference": "${inputs.acs_index_name}",
+        "type": ["string"]}, {"default": "Edm.String", "name": "field_data_type",
+        "optional": false, "type": ["string"]}]}, "allow_manual_entry": false, "is_multi_select":
+        false, "input_type": "uionly_hidden"}, "acs_embedding_field": {"type": ["string"],
+        "enabled_by": "index_type", "enabled_by_value": ["Azure AI Search"], "dynamic_list":
+        {"func_path": "promptflow_vectordb.tool.common_index_lookup_utils.list_acs_index_fields",
+        "func_kwargs": [{"name": "acs_connection", "optional": false, "reference":
+        "${inputs.acs_index_connection}", "type": ["CognitiveSearchConnection"]},
+        {"name": "acs_index_name", "optional": false, "reference": "${inputs.acs_index_name}",
+        "type": ["string"]}, {"default": "Collection(Edm.Single)", "name": "field_data_type",
+        "optional": false, "type": ["string"]}]}, "allow_manual_entry": false, "is_multi_select":
+        false, "input_type": "uionly_hidden"}, "acs_index_connection": {"type": ["CognitiveSearchConnection"],
+        "enabled_by": "index_type", "enabled_by_value": ["Azure AI Search"], "allow_manual_entry":
+        false, "is_multi_select": false, "input_type": "uionly_hidden"}, "acs_index_name":
+        {"type": ["string"], "enabled_by": "index_type", "enabled_by_value": ["Azure
+        AI Search"], "dynamic_list": {"func_path": "promptflow_vectordb.tool.common_index_lookup_utils.list_acs_indices",
+        "func_kwargs": [{"name": "acs_connection", "optional": false, "reference":
+        "${inputs.acs_index_connection}", "type": ["CognitiveSearchConnection"]}]},
+        "allow_manual_entry": false, "is_multi_select": false, "input_type": "uionly_hidden"},
+        "acs_metadata_field": {"type": ["string"], "enabled_by": "index_type", "enabled_by_value":
+        ["Azure AI Search"], "dynamic_list": {"func_path": "promptflow_vectordb.tool.common_index_lookup_utils.list_acs_index_fields",
+        "func_kwargs": [{"name": "acs_connection", "optional": false, "reference":
+        "${inputs.acs_index_connection}", "type": ["CognitiveSearchConnection"]},
+        {"name": "acs_index_name", "optional": false, "reference": "${inputs.acs_index_name}",
+        "type": ["string"]}, {"default": "Edm.String", "name": "field_data_type",
+        "optional": false, "type": ["string"]}]}, "allow_manual_entry": false, "is_multi_select":
+        false, "input_type": "uionly_hidden"}, "aoai_embedding_connection": {"type":
+        ["AzureOpenAIConnection"], "enabled_by": "embedding_type", "enabled_by_value":
+        ["Azure OpenAI"], "allow_manual_entry": false, "is_multi_select": false, "input_type":
+        "uionly_hidden"}, "embedding_deployment": {"type": ["string"], "enabled_by":
+        "embedding_type", "enabled_by_value": ["Azure OpenAI"], "dynamic_list": {"func_path":
+        "promptflow_vectordb.tool.common_index_lookup_utils.list_aoai_embedding_deployments",
+        "func_kwargs": [{"name": "aoai_connection", "optional": false, "reference":
+        "${inputs.aoai_embedding_connection}", "type": ["AzurOpenAIConnection"]}]},
+        "allow_manual_entry": false, "is_multi_select": false, "input_type": "uionly_hidden"},
+        "embedding_model": {"type": ["string"], "enabled_by": "embedding_type", "enabled_by_value":
+        ["OpenAI", "Hugging Face"], "dynamic_list": {"func_path": "promptflow_vectordb.tool.common_index_lookup_utils.list_embedding_models",
+        "func_kwargs": [{"name": "embedding_type", "optional": false, "reference":
+        "${inputs.embedding_type}", "type": ["string"]}]}, "allow_manual_entry": false,
+        "is_multi_select": false, "input_type": "uionly_hidden"}, "embedding_type":
+        {"type": ["string"], "enabled_by": "index_type", "enabled_by_value": ["Azure
+        AI Search", "FAISS", "Pinecone"], "dynamic_list": {"func_path": "promptflow_vectordb.tool.common_index_lookup_utils.list_available_embedding_types",
+        "func_kwargs": [{"name": "index_type", "optional": false, "reference": "${inputs.index_type}",
+        "type": ["string"]}]}, "allow_manual_entry": false, "is_multi_select": false,
+        "input_type": "uionly_hidden"}, "faiss_index_path": {"type": ["string"], "enabled_by":
+        "index_type", "enabled_by_value": ["FAISS"], "allow_manual_entry": false,
+        "is_multi_select": false, "input_type": "uionly_hidden"}, "index_type": {"type":
+        ["string"], "dynamic_list": {"func_path": "promptflow_vectordb.tool.common_index_lookup_utils.list_available_index_types"},
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+        "allow_manual_entry": false, "is_multi_select": false, "input_type": "uionly_hidden"},
+        "mlindex_content": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
+        false, "generated_by": {"func_path": "promptflow_vectordb.tool.common_index_lookup_utils.forward_mapping",
+        "func_kwargs": [{"name": "index_type", "reference": "${inputs.index_type}",
+        "type": ["string"]}, {"name": "mlindex_asset_id", "optional": true, "reference":
+        "${inputs.mlindex_asset_id}", "type": ["string"]}, {"name": "mlindex_path",
+        "optional": true, "reference": "${inputs.mlindex_path}", "type": ["string"]},
+        {"name": "acs_index_connection", "optional": true, "reference": "${inputs.acs_index_connection}",
+        "type": ["CognitiveSearchConnection"]}, {"name": "acs_index_name", "optional":
+        true, "reference": "${inputs.acs_index_name}", "type": ["string"]}, {"name":
+        "acs_content_field", "optional": true, "reference": "${inputs.acs_content_field}",
+        "type": ["string"]}, {"name": "acs_embedding_field", "optional": true, "reference":
+        "${inputs.acs_embedding_field}", "type": ["string"]}, {"name": "acs_metadata_field",
+        "optional": true, "reference": "${inputs.acs_metadata_field}", "type": ["string"]},
+        {"name": "semantic_configuration", "optional": true, "reference": "${inputs.semantic_configuration}",
+        "type": ["string"]}, {"name": "faiss_index_path", "optional": true, "reference":
+        "${inputs.faiss_index_path}", "type": ["string"]}, {"name": "pinecone_index_connection",
+        "optional": true, "reference": "${inputs.pinecone_index_connection}", "type":
+        ["string"]}, {"name": "pinecone_index_name", "optional": true, "reference":
+        "${inputs.pinecone_index_name}", "type": ["string"]}, {"name": "pinecone_content_field",
+        "optional": true, "reference": "${inputs.pinecone_content_field}", "type":
+        ["string"]}, {"name": "pinecone_metadata_field", "optional": true, "reference":
+        "${inputs.pinecone_metadata_field}", "type": ["string"]}, {"name": "embedding_type",
+        "optional": true, "reference": "${inputs.embedding_type}", "type": ["string"]},
+        {"name": "aoai_embedding_connection", "optional": true, "reference": "${inputs.aoai_embedding_connection}",
+        "type": ["AzureOpenAIConnection"]}, {"name": "oai_embedding_connection", "optional":
+        true, "reference": "${inputs.oai_embedding_connection}", "type": ["string"]},
+        {"name": "embedding_model", "optional": true, "reference": "${inputs.embedding_model}",
+        "type": ["string"]}, {"name": "embedding_deployment", "optional": true, "reference":
+        "${inputs.embedding_deployment}", "type": ["string"]}], "reverse_func_path":
+        "promptflow_vectordb.tool.common_index_lookup_utils.reverse_mapping"}, "input_type":
+        "default"}, "mlindex_path": {"type": ["string"], "enabled_by": "index_type",
+        "enabled_by_value": ["MLIndex file from path"], "allow_manual_entry": false,
+        "is_multi_select": false, "input_type": "uionly_hidden"}, "oai_embedding_connection":
+        {"type": ["OpenAIConnection"], "enabled_by": "embedding_type", "enabled_by_value":
+        ["OpenAI"], "allow_manual_entry": false, "is_multi_select": false, "input_type":
+        "uionly_hidden"}, "pinecone_content_field": {"type": ["string"], "enabled_by":
+        "index_type", "enabled_by_value": ["Pinecone"], "allow_manual_entry": false,
+        "is_multi_select": false, "input_type": "uionly_hidden"}, "pinecone_index_connection":
+        {"type": ["PineconeConnection"], "enabled_by": "index_type", "enabled_by_value":
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+        "allow_manual_entry": false, "is_multi_select": false, "input_type": "uionly_hidden"},
+        "pinecone_index_name": {"type": ["string"], "enabled_by": "index_type", "enabled_by_value":
+        ["Pinecone"], "dynamic_list": {"func_path": "promptflow_vectordb.tool.common_index_lookup_utils.list_pinecone_indices",
+        "func_kwargs": [{"name": "pinecone_connection_name", "optional": false, "reference":
+        "${inputs.pinecone_index_connection}", "type": ["string"]}]}, "allow_manual_entry":
+        false, "is_multi_select": false, "input_type": "uionly_hidden"}, "pinecone_metadata_field":
+        {"type": ["string"], "enabled_by": "index_type", "enabled_by_value": ["Pinecone"],
+        "allow_manual_entry": false, "is_multi_select": false, "input_type": "uionly_hidden"},
+        "queries": {"type": ["object"], "allow_manual_entry": false, "is_multi_select":
+        false, "input_type": "default"}, "query_type": {"type": ["string"], "dynamic_list":
+        {"func_path": "promptflow_vectordb.tool.common_index_lookup_utils.list_available_query_types",
+        "func_kwargs": [{"name": "mlindex_content", "optional": false, "reference":
+        "${inputs.mlindex_content}", "type": ["string"]}]}, "allow_manual_entry":
+        false, "is_multi_select": false, "input_type": "default"}, "semantic_configuration":
+        {"type": ["string"], "enabled_by": "index_type", "enabled_by_value": ["Azure
+        AI Search"], "dynamic_list": {"func_path": "promptflow_vectordb.tool.common_index_lookup_utils.list_acs_index_semantic_configurations",
+        "func_kwargs": [{"name": "acs_connection", "optional": false, "reference":
+        "${inputs.acs_index_connection}", "type": ["CognitiveSearchConnection"]},
+        {"name": "acs_index_name", "optional": false, "reference": "${inputs.acs_index_name}",
+        "type": ["string"]}]}, "allow_manual_entry": false, "is_multi_select": false,
+        "input_type": "uionly_hidden"}, "top_k": {"type": ["int"], "default": 3, "allow_manual_entry":
+        false, "is_multi_select": false, "input_type": "default"}}, "description":
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+        queries.", "module": "promptflow_vectordb.tool.common_index_lookup", "function":
+        "search", "is_builtin": true, "package": "promptflow_vectordb", "package_version":
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+        "input_type": "default"}, "vector": {"type": ["list"], "allow_manual_entry":
+        false, "is_multi_select": false, "input_type": "default"}}, "description":
+        "Search vector based query from the FAISS index file.", "module": "promptflow_vectordb.tool.faiss_index_lookup",
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+        "package": "promptflow_vectordb", "package_version": "0.2.4", "enable_kwargs":
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+        "inputs": {"class_name": {"type": ["string"], "enabled_by": "connection",
+        "enabled_by_type": ["WeaviateConnection"], "allow_manual_entry": false, "is_multi_select":
+        false, "input_type": "default"}, "collection_name": {"type": ["string"], "enabled_by":
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+        "allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
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+        "input_type": "default"}, "text_field": {"type": ["string"], "enabled_by":
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+        "is_multi_select": false, "input_type": "default"}}, "description": "Search
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+        "stable"}], "inputs": {"name": {"type": "string", "default": "hod", "is_chat_input":
+        false}}, "outputs": {"result": {"type": "string", "reference": "${hello_world.output}",
+        "evaluation_only": false, "is_chat_output": false}}}, "flowRunResourceId":
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+        "inputsMapping": {"name": "${data.url}"}, "outputDatastoreName": "workspaceblobstore",
+        "childRunBasePath": "promptflow/PromptFlowArtifacts/batch_run_name/flow_artifacts",
+        "flowDagFileRelativePath": "flow.dag.yaml", "flowSnapshotId": "6f5e65d2-6446-4f71-a1fa-838ae87e6bd5",
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+      content-type:
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+      strict-transport-security:
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+      transfer-encoding:
+      - chunked
+      vary:
+      - Accept-Encoding
+      x-content-type-options:
+      - nosniff
+      x-request-time:
+      - '0.265'
+    status:
+      code: 200
+      message: OK
+- request:
+    body: null
+    headers:
+      Accept:
+      - application/json
+      Accept-Encoding:
+      - gzip, deflate, br
+      Connection:
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+    uri: https://eastus.api.azureml.ms/flow/api/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/BulkRuns/batch_run_name
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+    body:
+      string: '{"flowGraph": {"nodes": [{"name": "hello_world", "type": "python",
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+        "promptflow.tools.aoai_gpt4v.list_deployment_names", "func_kwargs": [{"name":
+        "connection", "reference": "${inputs.connection}", "type": ["AzureOpenAIConnection"]}]},
+        "allow_manual_entry": true, "is_multi_select": false, "input_type": "default",
+        "ui_hints": {"index": 1}}, "frequency_penalty": {"type": ["double"], "default":
+        0, "allow_manual_entry": false, "is_multi_select": false, "input_type": "default",
+        "ui_hints": {"index": 7}}, "max_tokens": {"type": ["int"], "default": 512,
+        "allow_manual_entry": false, "is_multi_select": false, "input_type": "default",
+        "ui_hints": {"index": 4}}, "presence_penalty": {"type": ["double"], "default":
+        0, "allow_manual_entry": false, "is_multi_select": false, "input_type": "default",
+        "ui_hints": {"index": 6}}, "seed": {"type": ["int"], "default": "", "allow_manual_entry":
+        false, "is_multi_select": false, "input_type": "default", "ui_hints": {"index":
+        8}}, "stop": {"type": ["list"], "default": "", "allow_manual_entry": false,
+        "is_multi_select": false, "input_type": "default", "ui_hints": {"index": 5}},
+        "temperature": {"type": ["double"], "default": 1, "allow_manual_entry": false,
+        "is_multi_select": false, "input_type": "default", "ui_hints": {"index": 2}},
+        "top_p": {"type": ["double"], "default": 1, "allow_manual_entry": false, "is_multi_select":
+        false, "input_type": "default", "ui_hints": {"index": 3}}}, "description":
+        "Use Azure OpenAI GPT-4 Turbo with Vision to leverage AOAI vision ability.",
+        "module": "promptflow.tools.aoai_gpt4v", "class_name": "AzureOpenAI", "function":
+        "chat", "icon": {"dark": "data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAABAAAAAQCAYAAAAf8/9hAAAA2ElEQVR4nJXSzW3CQBAF4DUSTjk+Al1AD0ikESslpBIEheRALhEpgAYSWV8OGUublf/yLuP3PPNmdndS+gdwXZrYDmh7fGE/W+wXbaYd8IYm4rxJPnZ0boI3wZcdJxs/n+AwV7DFK7aFyfQdYIMLPvES8YJNf5yp4jMeeEYdWh38gXOR35YGHe5xabvQdsHv6PLi8qV6gycc8YH3iMfQu6Lh4ASr+F5Hh3XwVWnQYzUkVlX1nccplAb1SN6Y/sfgmlK64VS8wimldIv/0yj2QLkHizG0iWP4AVAfQ34DVQONAAAAAElFTkSuQmCC",
+        "light": "data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAABAAAAAQCAYAAAAf8/9hAAAAx0lEQVR4nJWSwQ2CQBBFX0jAcjgqXUgPJNiIsQQrIVCIFy8GC6ABDcGDX7Mus9n1Xz7zZ+fPsLPwH4bUg0dD2wMPcbR48Uxq4AKU4iSTDwZ1LhWXipN/B3V0J6hjBTvgLHZNonewBXrgDpzEvXSIjN0BE3AACmmF4kl5F6tNzcCoLpW0SvGovFvsb4oZ2AANcAOu4ka6axCcINN3rg654sww+CYsPD0OwjcozFNh/Qcd78tqVbCIW+n+Fky472Bh/Q6SYb1EEy8tDzd+9IsVPAAAAABJRU5ErkJggg=="},
+        "is_builtin": true, "package": "promptflow-tools", "package_version": "1.4.0rc1",
+        "default_prompt": "# system:\nAs an AI assistant, your task involves interpreting
+        images and responding to questions about the image.\nRemember to provide accurate
+        answers based on the information present in the image.\n\n# user:\nCan you
+        tell me what the image depicts?\n![image]({{image_input}})\n", "enable_kwargs":
+        false, "tool_state": "preview"}, {"name": "Content Safety (Text Analyze)",
+        "type": "python", "inputs": {"connection": {"type": ["AzureContentSafetyConnection"],
+        "allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
+        "hate_category": {"type": ["string"], "default": "medium_sensitivity", "enum":
+        ["disable", "low_sensitivity", "medium_sensitivity", "high_sensitivity"],
+        "allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
+        "self_harm_category": {"type": ["string"], "default": "medium_sensitivity",
+        "enum": ["disable", "low_sensitivity", "medium_sensitivity", "high_sensitivity"],
+        "allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
+        "sexual_category": {"type": ["string"], "default": "medium_sensitivity", "enum":
+        ["disable", "low_sensitivity", "medium_sensitivity", "high_sensitivity"],
+        "allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
+        "text": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
+        false, "input_type": "default"}, "violence_category": {"type": ["string"],
+        "default": "medium_sensitivity", "enum": ["disable", "low_sensitivity", "medium_sensitivity",
+        "high_sensitivity"], "allow_manual_entry": false, "is_multi_select": false,
+        "input_type": "default"}}, "description": "Use Azure Content Safety to detect
+        harmful content.", "module": "promptflow.tools.azure_content_safety", "function":
+        "analyze_text", "is_builtin": true, "package": "promptflow-tools", "package_version":
+        "1.4.0rc1", "enable_kwargs": false, "deprecated_tools": ["content_safety_text.tools.content_safety_text_tool.analyze_text"],
+        "tool_state": "stable"}, {"name": "Embedding", "type": "python", "inputs":
+        {"connection": {"type": ["AzureOpenAIConnection", "OpenAIConnection"], "allow_manual_entry":
+        false, "is_multi_select": false, "input_type": "default"}, "deployment_name":
+        {"type": ["string"], "enabled_by": "connection", "enabled_by_type": ["AzureOpenAIConnection"],
+        "model_list": ["text-embedding-ada-002", "text-search-ada-doc-001", "text-search-ada-query-001"],
+        "capabilities": {"completion": false, "chat_completion": false, "embeddings":
+        true}, "allow_manual_entry": false, "is_multi_select": false, "input_type":
+        "default"}, "input": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
+        false, "input_type": "default"}, "model": {"type": ["string"], "enum": ["text-embedding-ada-002",
+        "text-search-ada-doc-001", "text-search-ada-query-001"], "enabled_by": "connection",
+        "enabled_by_type": ["OpenAIConnection"], "allow_manual_entry": true, "is_multi_select":
+        false, "input_type": "default"}}, "description": "Use Open AI''s embedding
+        model to create an embedding vector representing the input text.", "module":
+        "promptflow.tools.embedding", "function": "embedding", "is_builtin": true,
+        "package": "promptflow-tools", "package_version": "1.4.0rc1", "enable_kwargs":
+        false, "tool_state": "stable"}, {"name": "Open Model LLM", "type": "custom_llm",
+        "inputs": {"api": {"type": ["string"], "enum": ["chat", "completion"], "allow_manual_entry":
+        false, "is_multi_select": false, "input_type": "default", "ui_hints": {"index":
+        2}}, "deployment_name": {"type": ["string"], "default": "", "dynamic_list":
+        {"func_path": "promptflow.tools.open_model_llm.list_deployment_names", "func_kwargs":
+        [{"name": "endpoint", "optional": true, "reference": "${inputs.endpoint}",
+        "type": ["string"]}]}, "allow_manual_entry": true, "is_multi_select": false,
+        "input_type": "default", "ui_hints": {"index": 1}}, "endpoint_name": {"type":
+        ["string"], "dynamic_list": {"func_path": "promptflow.tools.open_model_llm.list_endpoint_names"},
+        "allow_manual_entry": true, "is_multi_select": false, "input_type": "default",
+        "ui_hints": {"index": 0}}, "max_new_tokens": {"type": ["int"], "default":
+        500, "allow_manual_entry": false, "is_multi_select": false, "input_type":
+        "default", "ui_hints": {"index": 4}}, "model_kwargs": {"type": ["object"],
+        "default": "{}", "allow_manual_entry": false, "is_multi_select": false, "input_type":
+        "default", "advanced": true, "ui_hints": {"index": 6}}, "temperature": {"type":
+        ["double"], "default": 1.0, "allow_manual_entry": false, "is_multi_select":
+        false, "input_type": "default", "ui_hints": {"index": 3}}, "top_p": {"type":
+        ["double"], "default": 1.0, "allow_manual_entry": false, "is_multi_select":
+        false, "input_type": "default", "advanced": true, "ui_hints": {"index": 5}}},
+        "description": "Use an open model from the Azure Model catalog, deployed to
+        an AzureML Online Endpoint for LLM Chat or Completion API calls.", "module":
+        "promptflow.tools.open_model_llm", "class_name": "OpenModelLLM", "function":
+        "call", "icon": "data:image/png;base64,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",
+        "is_builtin": true, "package": "promptflow-tools", "package_version": "1.4.0rc1",
+        "enable_kwargs": false, "tool_state": "stable"}, {"name": "OpenAI GPT-4V",
+        "type": "custom_llm", "inputs": {"connection": {"type": ["OpenAIConnection"],
+        "allow_manual_entry": false, "is_multi_select": false, "input_type": "default",
+        "ui_hints": {"index": 0}}, "frequency_penalty": {"type": ["double"], "default":
+        0, "allow_manual_entry": false, "is_multi_select": false, "input_type": "default",
+        "ui_hints": {"index": 7}}, "max_tokens": {"type": ["int"], "default": 512,
+        "allow_manual_entry": false, "is_multi_select": false, "input_type": "default",
+        "ui_hints": {"index": 4}}, "model": {"type": ["string"], "enum": ["gpt-4-vision-preview"],
+        "allow_manual_entry": true, "is_multi_select": false, "input_type": "default",
+        "ui_hints": {"index": 1}}, "presence_penalty": {"type": ["double"], "default":
+        0, "allow_manual_entry": false, "is_multi_select": false, "input_type": "default",
+        "ui_hints": {"index": 6}}, "seed": {"type": ["int"], "default": "", "allow_manual_entry":
+        false, "is_multi_select": false, "input_type": "default", "ui_hints": {"index":
+        8}}, "stop": {"type": ["list"], "default": "", "allow_manual_entry": false,
+        "is_multi_select": false, "input_type": "default", "ui_hints": {"index": 5}},
+        "temperature": {"type": ["double"], "default": 1, "allow_manual_entry": false,
+        "is_multi_select": false, "input_type": "default", "ui_hints": {"index": 2}},
+        "top_p": {"type": ["double"], "default": 1, "allow_manual_entry": false, "is_multi_select":
+        false, "input_type": "default", "ui_hints": {"index": 3}}}, "description":
+        "Use OpenAI GPT-4V to leverage vision ability.", "module": "promptflow.tools.openai_gpt4v",
+        "class_name": "OpenAI", "function": "chat", "icon": {"dark": "data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAABAAAAAQCAYAAAAf8/9hAAAA2ElEQVR4nJXSzW3CQBAF4DUSTjk+Al1AD0ikESslpBIEheRALhEpgAYSWV8OGUublf/yLuP3PPNmdndS+gdwXZrYDmh7fGE/W+wXbaYd8IYm4rxJPnZ0boI3wZcdJxs/n+AwV7DFK7aFyfQdYIMLPvES8YJNf5yp4jMeeEYdWh38gXOR35YGHe5xabvQdsHv6PLi8qV6gycc8YH3iMfQu6Lh4ASr+F5Hh3XwVWnQYzUkVlX1nccplAb1SN6Y/sfgmlK64VS8wimldIv/0yj2QLkHizG0iWP4AVAfQ34DVQONAAAAAElFTkSuQmCC",
+        "light": "data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAABAAAAAQCAYAAAAf8/9hAAAAx0lEQVR4nJWSwQ2CQBBFX0jAcjgqXUgPJNiIsQQrIVCIFy8GC6ABDcGDX7Mus9n1Xz7zZ+fPsLPwH4bUg0dD2wMPcbR48Uxq4AKU4iSTDwZ1LhWXipN/B3V0J6hjBTvgLHZNonewBXrgDpzEvXSIjN0BE3AACmmF4kl5F6tNzcCoLpW0SvGovFvsb4oZ2AANcAOu4ka6axCcINN3rg654sww+CYsPD0OwjcozFNh/Qcd78tqVbCIW+n+Fky472Bh/Q6SYb1EEy8tDzd+9IsVPAAAAABJRU5ErkJggg=="},
+        "is_builtin": true, "package": "promptflow-tools", "package_version": "1.4.0rc1",
+        "default_prompt": "# system:\nAs an AI assistant, your task involves interpreting
+        images and responding to questions about the image.\nRemember to provide accurate
+        answers based on the information present in the image.\n\n# user:\nCan you
+        tell me what the image depicts?\n![image]({{image_input}})\n", "enable_kwargs":
+        false, "tool_state": "preview"}, {"name": "Serp API", "type": "python", "inputs":
+        {"connection": {"type": ["SerpConnection"], "allow_manual_entry": false, "is_multi_select":
+        false, "input_type": "default"}, "engine": {"type": ["string"], "default":
+        "google", "enum": ["google", "bing"], "allow_manual_entry": false, "is_multi_select":
+        false, "input_type": "default"}, "location": {"type": ["string"], "default":
+        "", "allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
+        "num": {"type": ["int"], "default": "10", "allow_manual_entry": false, "is_multi_select":
+        false, "input_type": "default"}, "query": {"type": ["string"], "allow_manual_entry":
+        false, "is_multi_select": false, "input_type": "default"}, "safe": {"type":
+        ["string"], "default": "off", "enum": ["active", "off"], "allow_manual_entry":
+        false, "is_multi_select": false, "input_type": "default"}}, "description":
+        "Use Serp API to obtain search results from a specific search engine.", "module":
+        "promptflow.tools.serpapi", "class_name": "SerpAPI", "function": "search",
+        "is_builtin": true, "package": "promptflow-tools", "package_version": "1.4.0rc1",
+        "enable_kwargs": false, "tool_state": "stable"}, {"name": "Index Lookup",
+        "type": "python", "inputs": {"acs_content_field": {"type": ["string"], "enabled_by":
+        "index_type", "enabled_by_value": ["Azure AI Search"], "dynamic_list": {"func_path":
+        "promptflow_vectordb.tool.common_index_lookup_utils.list_acs_index_fields",
+        "func_kwargs": [{"name": "acs_connection", "optional": false, "reference":
+        "${inputs.acs_index_connection}", "type": ["CognitiveSearchConnection"]},
+        {"name": "acs_index_name", "optional": false, "reference": "${inputs.acs_index_name}",
+        "type": ["string"]}, {"default": "Edm.String", "name": "field_data_type",
+        "optional": false, "type": ["string"]}]}, "allow_manual_entry": false, "is_multi_select":
+        false, "input_type": "uionly_hidden"}, "acs_embedding_field": {"type": ["string"],
+        "enabled_by": "index_type", "enabled_by_value": ["Azure AI Search"], "dynamic_list":
+        {"func_path": "promptflow_vectordb.tool.common_index_lookup_utils.list_acs_index_fields",
+        "func_kwargs": [{"name": "acs_connection", "optional": false, "reference":
+        "${inputs.acs_index_connection}", "type": ["CognitiveSearchConnection"]},
+        {"name": "acs_index_name", "optional": false, "reference": "${inputs.acs_index_name}",
+        "type": ["string"]}, {"default": "Collection(Edm.Single)", "name": "field_data_type",
+        "optional": false, "type": ["string"]}]}, "allow_manual_entry": false, "is_multi_select":
+        false, "input_type": "uionly_hidden"}, "acs_index_connection": {"type": ["CognitiveSearchConnection"],
+        "enabled_by": "index_type", "enabled_by_value": ["Azure AI Search"], "allow_manual_entry":
+        false, "is_multi_select": false, "input_type": "uionly_hidden"}, "acs_index_name":
+        {"type": ["string"], "enabled_by": "index_type", "enabled_by_value": ["Azure
+        AI Search"], "dynamic_list": {"func_path": "promptflow_vectordb.tool.common_index_lookup_utils.list_acs_indices",
+        "func_kwargs": [{"name": "acs_connection", "optional": false, "reference":
+        "${inputs.acs_index_connection}", "type": ["CognitiveSearchConnection"]}]},
+        "allow_manual_entry": false, "is_multi_select": false, "input_type": "uionly_hidden"},
+        "acs_metadata_field": {"type": ["string"], "enabled_by": "index_type", "enabled_by_value":
+        ["Azure AI Search"], "dynamic_list": {"func_path": "promptflow_vectordb.tool.common_index_lookup_utils.list_acs_index_fields",
+        "func_kwargs": [{"name": "acs_connection", "optional": false, "reference":
+        "${inputs.acs_index_connection}", "type": ["CognitiveSearchConnection"]},
+        {"name": "acs_index_name", "optional": false, "reference": "${inputs.acs_index_name}",
+        "type": ["string"]}, {"default": "Edm.String", "name": "field_data_type",
+        "optional": false, "type": ["string"]}]}, "allow_manual_entry": false, "is_multi_select":
+        false, "input_type": "uionly_hidden"}, "aoai_embedding_connection": {"type":
+        ["AzureOpenAIConnection"], "enabled_by": "embedding_type", "enabled_by_value":
+        ["Azure OpenAI"], "allow_manual_entry": false, "is_multi_select": false, "input_type":
+        "uionly_hidden"}, "embedding_deployment": {"type": ["string"], "enabled_by":
+        "embedding_type", "enabled_by_value": ["Azure OpenAI"], "dynamic_list": {"func_path":
+        "promptflow_vectordb.tool.common_index_lookup_utils.list_aoai_embedding_deployments",
+        "func_kwargs": [{"name": "aoai_connection", "optional": false, "reference":
+        "${inputs.aoai_embedding_connection}", "type": ["AzurOpenAIConnection"]}]},
+        "allow_manual_entry": false, "is_multi_select": false, "input_type": "uionly_hidden"},
+        "embedding_model": {"type": ["string"], "enabled_by": "embedding_type", "enabled_by_value":
+        ["OpenAI", "Hugging Face"], "dynamic_list": {"func_path": "promptflow_vectordb.tool.common_index_lookup_utils.list_embedding_models",
+        "func_kwargs": [{"name": "embedding_type", "optional": false, "reference":
+        "${inputs.embedding_type}", "type": ["string"]}]}, "allow_manual_entry": false,
+        "is_multi_select": false, "input_type": "uionly_hidden"}, "embedding_type":
+        {"type": ["string"], "enabled_by": "index_type", "enabled_by_value": ["Azure
+        AI Search", "FAISS", "Pinecone"], "dynamic_list": {"func_path": "promptflow_vectordb.tool.common_index_lookup_utils.list_available_embedding_types",
+        "func_kwargs": [{"name": "index_type", "optional": false, "reference": "${inputs.index_type}",
+        "type": ["string"]}]}, "allow_manual_entry": false, "is_multi_select": false,
+        "input_type": "uionly_hidden"}, "faiss_index_path": {"type": ["string"], "enabled_by":
+        "index_type", "enabled_by_value": ["FAISS"], "allow_manual_entry": false,
+        "is_multi_select": false, "input_type": "uionly_hidden"}, "index_type": {"type":
+        ["string"], "dynamic_list": {"func_path": "promptflow_vectordb.tool.common_index_lookup_utils.list_available_index_types"},
+        "allow_manual_entry": false, "is_multi_select": false, "input_type": "uionly_hidden"},
+        "mlindex_asset_id": {"type": ["string"], "enabled_by": "index_type", "enabled_by_value":
+        ["Registered Index"], "dynamic_list": {"func_path": "promptflow_vectordb.tool.common_index_lookup_utils.list_registered_mlindices"},
+        "allow_manual_entry": false, "is_multi_select": false, "input_type": "uionly_hidden"},
+        "mlindex_content": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
+        false, "generated_by": {"func_path": "promptflow_vectordb.tool.common_index_lookup_utils.forward_mapping",
+        "func_kwargs": [{"name": "index_type", "reference": "${inputs.index_type}",
+        "type": ["string"]}, {"name": "mlindex_asset_id", "optional": true, "reference":
+        "${inputs.mlindex_asset_id}", "type": ["string"]}, {"name": "mlindex_path",
+        "optional": true, "reference": "${inputs.mlindex_path}", "type": ["string"]},
+        {"name": "acs_index_connection", "optional": true, "reference": "${inputs.acs_index_connection}",
+        "type": ["CognitiveSearchConnection"]}, {"name": "acs_index_name", "optional":
+        true, "reference": "${inputs.acs_index_name}", "type": ["string"]}, {"name":
+        "acs_content_field", "optional": true, "reference": "${inputs.acs_content_field}",
+        "type": ["string"]}, {"name": "acs_embedding_field", "optional": true, "reference":
+        "${inputs.acs_embedding_field}", "type": ["string"]}, {"name": "acs_metadata_field",
+        "optional": true, "reference": "${inputs.acs_metadata_field}", "type": ["string"]},
+        {"name": "semantic_configuration", "optional": true, "reference": "${inputs.semantic_configuration}",
+        "type": ["string"]}, {"name": "faiss_index_path", "optional": true, "reference":
+        "${inputs.faiss_index_path}", "type": ["string"]}, {"name": "pinecone_index_connection",
+        "optional": true, "reference": "${inputs.pinecone_index_connection}", "type":
+        ["string"]}, {"name": "pinecone_index_name", "optional": true, "reference":
+        "${inputs.pinecone_index_name}", "type": ["string"]}, {"name": "pinecone_content_field",
+        "optional": true, "reference": "${inputs.pinecone_content_field}", "type":
+        ["string"]}, {"name": "pinecone_metadata_field", "optional": true, "reference":
+        "${inputs.pinecone_metadata_field}", "type": ["string"]}, {"name": "embedding_type",
+        "optional": true, "reference": "${inputs.embedding_type}", "type": ["string"]},
+        {"name": "aoai_embedding_connection", "optional": true, "reference": "${inputs.aoai_embedding_connection}",
+        "type": ["AzureOpenAIConnection"]}, {"name": "oai_embedding_connection", "optional":
+        true, "reference": "${inputs.oai_embedding_connection}", "type": ["string"]},
+        {"name": "embedding_model", "optional": true, "reference": "${inputs.embedding_model}",
+        "type": ["string"]}, {"name": "embedding_deployment", "optional": true, "reference":
+        "${inputs.embedding_deployment}", "type": ["string"]}], "reverse_func_path":
+        "promptflow_vectordb.tool.common_index_lookup_utils.reverse_mapping"}, "input_type":
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+        "childRunBasePath": "promptflow/PromptFlowArtifacts/batch_run_name/flow_artifacts",
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+      message: OK
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+      Accept-Encoding:
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+        "class_name": "OpenAI", "function": "chat", "icon": {"dark": "data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAABAAAAAQCAYAAAAf8/9hAAAA2ElEQVR4nJXSzW3CQBAF4DUSTjk+Al1AD0ikESslpBIEheRALhEpgAYSWV8OGUublf/yLuP3PPNmdndS+gdwXZrYDmh7fGE/W+wXbaYd8IYm4rxJPnZ0boI3wZcdJxs/n+AwV7DFK7aFyfQdYIMLPvES8YJNf5yp4jMeeEYdWh38gXOR35YGHe5xabvQdsHv6PLi8qV6gycc8YH3iMfQu6Lh4ASr+F5Hh3XwVWnQYzUkVlX1nccplAb1SN6Y/sfgmlK64VS8wimldIv/0yj2QLkHizG0iWP4AVAfQ34DVQONAAAAAElFTkSuQmCC",
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+        "is_builtin": true, "package": "promptflow-tools", "package_version": "1.4.0rc1",
+        "default_prompt": "# system:\nAs an AI assistant, your task involves interpreting
+        images and responding to questions about the image.\nRemember to provide accurate
+        answers based on the information present in the image.\n\n# user:\nCan you
+        tell me what the image depicts?\n![image]({{image_input}})\n", "enable_kwargs":
+        false, "tool_state": "preview"}, {"name": "Serp API", "type": "python", "inputs":
+        {"connection": {"type": ["SerpConnection"], "allow_manual_entry": false, "is_multi_select":
+        false, "input_type": "default"}, "engine": {"type": ["string"], "default":
+        "google", "enum": ["google", "bing"], "allow_manual_entry": false, "is_multi_select":
+        false, "input_type": "default"}, "location": {"type": ["string"], "default":
+        "", "allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
+        "num": {"type": ["int"], "default": "10", "allow_manual_entry": false, "is_multi_select":
+        false, "input_type": "default"}, "query": {"type": ["string"], "allow_manual_entry":
+        false, "is_multi_select": false, "input_type": "default"}, "safe": {"type":
+        ["string"], "default": "off", "enum": ["active", "off"], "allow_manual_entry":
+        false, "is_multi_select": false, "input_type": "default"}}, "description":
+        "Use Serp API to obtain search results from a specific search engine.", "module":
+        "promptflow.tools.serpapi", "class_name": "SerpAPI", "function": "search",
+        "is_builtin": true, "package": "promptflow-tools", "package_version": "1.4.0rc1",
+        "enable_kwargs": false, "tool_state": "stable"}, {"name": "Index Lookup",
+        "type": "python", "inputs": {"acs_content_field": {"type": ["string"], "enabled_by":
+        "index_type", "enabled_by_value": ["Azure AI Search"], "dynamic_list": {"func_path":
+        "promptflow_vectordb.tool.common_index_lookup_utils.list_acs_index_fields",
+        "func_kwargs": [{"name": "acs_connection", "optional": false, "reference":
+        "${inputs.acs_index_connection}", "type": ["CognitiveSearchConnection"]},
+        {"name": "acs_index_name", "optional": false, "reference": "${inputs.acs_index_name}",
+        "type": ["string"]}, {"default": "Edm.String", "name": "field_data_type",
+        "optional": false, "type": ["string"]}]}, "allow_manual_entry": false, "is_multi_select":
+        false, "input_type": "uionly_hidden"}, "acs_embedding_field": {"type": ["string"],
+        "enabled_by": "index_type", "enabled_by_value": ["Azure AI Search"], "dynamic_list":
+        {"func_path": "promptflow_vectordb.tool.common_index_lookup_utils.list_acs_index_fields",
+        "func_kwargs": [{"name": "acs_connection", "optional": false, "reference":
+        "${inputs.acs_index_connection}", "type": ["CognitiveSearchConnection"]},
+        {"name": "acs_index_name", "optional": false, "reference": "${inputs.acs_index_name}",
+        "type": ["string"]}, {"default": "Collection(Edm.Single)", "name": "field_data_type",
+        "optional": false, "type": ["string"]}]}, "allow_manual_entry": false, "is_multi_select":
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+        "enabled_by": "index_type", "enabled_by_value": ["Azure AI Search"], "allow_manual_entry":
+        false, "is_multi_select": false, "input_type": "uionly_hidden"}, "acs_index_name":
+        {"type": ["string"], "enabled_by": "index_type", "enabled_by_value": ["Azure
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+        "func_kwargs": [{"name": "acs_connection", "optional": false, "reference":
+        "${inputs.acs_index_connection}", "type": ["CognitiveSearchConnection"]}]},
+        "allow_manual_entry": false, "is_multi_select": false, "input_type": "uionly_hidden"},
+        "acs_metadata_field": {"type": ["string"], "enabled_by": "index_type", "enabled_by_value":
+        ["Azure AI Search"], "dynamic_list": {"func_path": "promptflow_vectordb.tool.common_index_lookup_utils.list_acs_index_fields",
+        "func_kwargs": [{"name": "acs_connection", "optional": false, "reference":
+        "${inputs.acs_index_connection}", "type": ["CognitiveSearchConnection"]},
+        {"name": "acs_index_name", "optional": false, "reference": "${inputs.acs_index_name}",
+        "type": ["string"]}, {"default": "Edm.String", "name": "field_data_type",
+        "optional": false, "type": ["string"]}]}, "allow_manual_entry": false, "is_multi_select":
+        false, "input_type": "uionly_hidden"}, "aoai_embedding_connection": {"type":
+        ["AzureOpenAIConnection"], "enabled_by": "embedding_type", "enabled_by_value":
+        ["Azure OpenAI"], "allow_manual_entry": false, "is_multi_select": false, "input_type":
+        "uionly_hidden"}, "embedding_deployment": {"type": ["string"], "enabled_by":
+        "embedding_type", "enabled_by_value": ["Azure OpenAI"], "dynamic_list": {"func_path":
+        "promptflow_vectordb.tool.common_index_lookup_utils.list_aoai_embedding_deployments",
+        "func_kwargs": [{"name": "aoai_connection", "optional": false, "reference":
+        "${inputs.aoai_embedding_connection}", "type": ["AzurOpenAIConnection"]}]},
+        "allow_manual_entry": false, "is_multi_select": false, "input_type": "uionly_hidden"},
+        "embedding_model": {"type": ["string"], "enabled_by": "embedding_type", "enabled_by_value":
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+        "func_kwargs": [{"name": "embedding_type", "optional": false, "reference":
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+        "optional": true, "reference": "${inputs.mlindex_path}", "type": ["string"]},
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+        "type": ["CognitiveSearchConnection"]}, {"name": "acs_index_name", "optional":
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+        "optional": true, "reference": "${inputs.acs_metadata_field}", "type": ["string"]},
+        {"name": "semantic_configuration", "optional": true, "reference": "${inputs.semantic_configuration}",
+        "type": ["string"]}, {"name": "faiss_index_path", "optional": true, "reference":
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+        "optional": true, "reference": "${inputs.pinecone_index_connection}", "type":
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+        "${inputs.pinecone_index_name}", "type": ["string"]}, {"name": "pinecone_content_field",
+        "optional": true, "reference": "${inputs.pinecone_content_field}", "type":
+        ["string"]}, {"name": "pinecone_metadata_field", "optional": true, "reference":
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+        "optional": true, "reference": "${inputs.embedding_type}", "type": ["string"]},
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+        "type": ["AzureOpenAIConnection"]}, {"name": "oai_embedding_connection", "optional":
+        true, "reference": "${inputs.oai_embedding_connection}", "type": ["string"]},
+        {"name": "embedding_model", "optional": true, "reference": "${inputs.embedding_model}",
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+        {"type": ["string"], "enabled_by": "index_type", "enabled_by_value": ["Azure
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+    uri: https://eastus.api.azureml.ms/flow/api/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/BulkRuns/batch_run_name
+  response:
+    body:
+      string: '{"flowGraph": {"nodes": [{"name": "hello_world", "type": "python",
+        "source": {"type": "code", "path": "hello_world.py"}, "inputs": {"name": "${inputs.name}"},
+        "tool": "hello_world.py", "reduce": false}], "tools": [{"name": "Azure OpenAI
+        GPT-4 Turbo with Vision", "type": "custom_llm", "inputs": {"connection": {"type":
+        ["AzureOpenAIConnection"], "allow_manual_entry": false, "is_multi_select":
+        false, "input_type": "default", "ui_hints": {"index": 0}}, "deployment_name":
+        {"type": ["string"], "enabled_by": "connection", "dynamic_list": {"func_path":
+        "promptflow.tools.aoai_gpt4v.list_deployment_names", "func_kwargs": [{"name":
+        "connection", "reference": "${inputs.connection}", "type": ["AzureOpenAIConnection"]}]},
+        "allow_manual_entry": true, "is_multi_select": false, "input_type": "default",
+        "ui_hints": {"index": 1}}, "frequency_penalty": {"type": ["double"], "default":
+        0, "allow_manual_entry": false, "is_multi_select": false, "input_type": "default",
+        "ui_hints": {"index": 7}}, "max_tokens": {"type": ["int"], "default": 512,
+        "allow_manual_entry": false, "is_multi_select": false, "input_type": "default",
+        "ui_hints": {"index": 4}}, "presence_penalty": {"type": ["double"], "default":
+        0, "allow_manual_entry": false, "is_multi_select": false, "input_type": "default",
+        "ui_hints": {"index": 6}}, "seed": {"type": ["int"], "default": "", "allow_manual_entry":
+        false, "is_multi_select": false, "input_type": "default", "ui_hints": {"index":
+        8}}, "stop": {"type": ["list"], "default": "", "allow_manual_entry": false,
+        "is_multi_select": false, "input_type": "default", "ui_hints": {"index": 5}},
+        "temperature": {"type": ["double"], "default": 1, "allow_manual_entry": false,
+        "is_multi_select": false, "input_type": "default", "ui_hints": {"index": 2}},
+        "top_p": {"type": ["double"], "default": 1, "allow_manual_entry": false, "is_multi_select":
+        false, "input_type": "default", "ui_hints": {"index": 3}}}, "description":
+        "Use Azure OpenAI GPT-4 Turbo with Vision to leverage AOAI vision ability.",
+        "module": "promptflow.tools.aoai_gpt4v", "class_name": "AzureOpenAI", "function":
+        "chat", "icon": {"dark": "data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAABAAAAAQCAYAAAAf8/9hAAAA2ElEQVR4nJXSzW3CQBAF4DUSTjk+Al1AD0ikESslpBIEheRALhEpgAYSWV8OGUublf/yLuP3PPNmdndS+gdwXZrYDmh7fGE/W+wXbaYd8IYm4rxJPnZ0boI3wZcdJxs/n+AwV7DFK7aFyfQdYIMLPvES8YJNf5yp4jMeeEYdWh38gXOR35YGHe5xabvQdsHv6PLi8qV6gycc8YH3iMfQu6Lh4ASr+F5Hh3XwVWnQYzUkVlX1nccplAb1SN6Y/sfgmlK64VS8wimldIv/0yj2QLkHizG0iWP4AVAfQ34DVQONAAAAAElFTkSuQmCC",
+        "light": "data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAABAAAAAQCAYAAAAf8/9hAAAAx0lEQVR4nJWSwQ2CQBBFX0jAcjgqXUgPJNiIsQQrIVCIFy8GC6ABDcGDX7Mus9n1Xz7zZ+fPsLPwH4bUg0dD2wMPcbR48Uxq4AKU4iSTDwZ1LhWXipN/B3V0J6hjBTvgLHZNonewBXrgDpzEvXSIjN0BE3AACmmF4kl5F6tNzcCoLpW0SvGovFvsb4oZ2AANcAOu4ka6axCcINN3rg654sww+CYsPD0OwjcozFNh/Qcd78tqVbCIW+n+Fky472Bh/Q6SYb1EEy8tDzd+9IsVPAAAAABJRU5ErkJggg=="},
+        "is_builtin": true, "package": "promptflow-tools", "package_version": "1.4.0rc1",
+        "default_prompt": "# system:\nAs an AI assistant, your task involves interpreting
+        images and responding to questions about the image.\nRemember to provide accurate
+        answers based on the information present in the image.\n\n# user:\nCan you
+        tell me what the image depicts?\n![image]({{image_input}})\n", "enable_kwargs":
+        false, "tool_state": "preview"}, {"name": "Content Safety (Text Analyze)",
+        "type": "python", "inputs": {"connection": {"type": ["AzureContentSafetyConnection"],
+        "allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
+        "hate_category": {"type": ["string"], "default": "medium_sensitivity", "enum":
+        ["disable", "low_sensitivity", "medium_sensitivity", "high_sensitivity"],
+        "allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
+        "self_harm_category": {"type": ["string"], "default": "medium_sensitivity",
+        "enum": ["disable", "low_sensitivity", "medium_sensitivity", "high_sensitivity"],
+        "allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
+        "sexual_category": {"type": ["string"], "default": "medium_sensitivity", "enum":
+        ["disable", "low_sensitivity", "medium_sensitivity", "high_sensitivity"],
+        "allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
+        "text": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
+        false, "input_type": "default"}, "violence_category": {"type": ["string"],
+        "default": "medium_sensitivity", "enum": ["disable", "low_sensitivity", "medium_sensitivity",
+        "high_sensitivity"], "allow_manual_entry": false, "is_multi_select": false,
+        "input_type": "default"}}, "description": "Use Azure Content Safety to detect
+        harmful content.", "module": "promptflow.tools.azure_content_safety", "function":
+        "analyze_text", "is_builtin": true, "package": "promptflow-tools", "package_version":
+        "1.4.0rc1", "enable_kwargs": false, "deprecated_tools": ["content_safety_text.tools.content_safety_text_tool.analyze_text"],
+        "tool_state": "stable"}, {"name": "Embedding", "type": "python", "inputs":
+        {"connection": {"type": ["AzureOpenAIConnection", "OpenAIConnection"], "allow_manual_entry":
+        false, "is_multi_select": false, "input_type": "default"}, "deployment_name":
+        {"type": ["string"], "enabled_by": "connection", "enabled_by_type": ["AzureOpenAIConnection"],
+        "model_list": ["text-embedding-ada-002", "text-search-ada-doc-001", "text-search-ada-query-001"],
+        "capabilities": {"completion": false, "chat_completion": false, "embeddings":
+        true}, "allow_manual_entry": false, "is_multi_select": false, "input_type":
+        "default"}, "input": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
+        false, "input_type": "default"}, "model": {"type": ["string"], "enum": ["text-embedding-ada-002",
+        "text-search-ada-doc-001", "text-search-ada-query-001"], "enabled_by": "connection",
+        "enabled_by_type": ["OpenAIConnection"], "allow_manual_entry": true, "is_multi_select":
+        false, "input_type": "default"}}, "description": "Use Open AI''s embedding
+        model to create an embedding vector representing the input text.", "module":
+        "promptflow.tools.embedding", "function": "embedding", "is_builtin": true,
+        "package": "promptflow-tools", "package_version": "1.4.0rc1", "enable_kwargs":
+        false, "tool_state": "stable"}, {"name": "Open Model LLM", "type": "custom_llm",
+        "inputs": {"api": {"type": ["string"], "enum": ["chat", "completion"], "allow_manual_entry":
+        false, "is_multi_select": false, "input_type": "default", "ui_hints": {"index":
+        2}}, "deployment_name": {"type": ["string"], "default": "", "dynamic_list":
+        {"func_path": "promptflow.tools.open_model_llm.list_deployment_names", "func_kwargs":
+        [{"name": "endpoint", "optional": true, "reference": "${inputs.endpoint}",
+        "type": ["string"]}]}, "allow_manual_entry": true, "is_multi_select": false,
+        "input_type": "default", "ui_hints": {"index": 1}}, "endpoint_name": {"type":
+        ["string"], "dynamic_list": {"func_path": "promptflow.tools.open_model_llm.list_endpoint_names"},
+        "allow_manual_entry": true, "is_multi_select": false, "input_type": "default",
+        "ui_hints": {"index": 0}}, "max_new_tokens": {"type": ["int"], "default":
+        500, "allow_manual_entry": false, "is_multi_select": false, "input_type":
+        "default", "ui_hints": {"index": 4}}, "model_kwargs": {"type": ["object"],
+        "default": "{}", "allow_manual_entry": false, "is_multi_select": false, "input_type":
+        "default", "advanced": true, "ui_hints": {"index": 6}}, "temperature": {"type":
+        ["double"], "default": 1.0, "allow_manual_entry": false, "is_multi_select":
+        false, "input_type": "default", "ui_hints": {"index": 3}}, "top_p": {"type":
+        ["double"], "default": 1.0, "allow_manual_entry": false, "is_multi_select":
+        false, "input_type": "default", "advanced": true, "ui_hints": {"index": 5}}},
+        "description": "Use an open model from the Azure Model catalog, deployed to
+        an AzureML Online Endpoint for LLM Chat or Completion API calls.", "module":
+        "promptflow.tools.open_model_llm", "class_name": "OpenModelLLM", "function":
+        "call", "icon": "data:image/png;base64,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",
+        "is_builtin": true, "package": "promptflow-tools", "package_version": "1.4.0rc1",
+        "enable_kwargs": false, "tool_state": "stable"}, {"name": "OpenAI GPT-4V",
+        "type": "custom_llm", "inputs": {"connection": {"type": ["OpenAIConnection"],
+        "allow_manual_entry": false, "is_multi_select": false, "input_type": "default",
+        "ui_hints": {"index": 0}}, "frequency_penalty": {"type": ["double"], "default":
+        0, "allow_manual_entry": false, "is_multi_select": false, "input_type": "default",
+        "ui_hints": {"index": 7}}, "max_tokens": {"type": ["int"], "default": 512,
+        "allow_manual_entry": false, "is_multi_select": false, "input_type": "default",
+        "ui_hints": {"index": 4}}, "model": {"type": ["string"], "enum": ["gpt-4-vision-preview"],
+        "allow_manual_entry": true, "is_multi_select": false, "input_type": "default",
+        "ui_hints": {"index": 1}}, "presence_penalty": {"type": ["double"], "default":
+        0, "allow_manual_entry": false, "is_multi_select": false, "input_type": "default",
+        "ui_hints": {"index": 6}}, "seed": {"type": ["int"], "default": "", "allow_manual_entry":
+        false, "is_multi_select": false, "input_type": "default", "ui_hints": {"index":
+        8}}, "stop": {"type": ["list"], "default": "", "allow_manual_entry": false,
+        "is_multi_select": false, "input_type": "default", "ui_hints": {"index": 5}},
+        "temperature": {"type": ["double"], "default": 1, "allow_manual_entry": false,
+        "is_multi_select": false, "input_type": "default", "ui_hints": {"index": 2}},
+        "top_p": {"type": ["double"], "default": 1, "allow_manual_entry": false, "is_multi_select":
+        false, "input_type": "default", "ui_hints": {"index": 3}}}, "description":
+        "Use OpenAI GPT-4V to leverage vision ability.", "module": "promptflow.tools.openai_gpt4v",
+        "class_name": "OpenAI", "function": "chat", "icon": {"dark": "data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAABAAAAAQCAYAAAAf8/9hAAAA2ElEQVR4nJXSzW3CQBAF4DUSTjk+Al1AD0ikESslpBIEheRALhEpgAYSWV8OGUublf/yLuP3PPNmdndS+gdwXZrYDmh7fGE/W+wXbaYd8IYm4rxJPnZ0boI3wZcdJxs/n+AwV7DFK7aFyfQdYIMLPvES8YJNf5yp4jMeeEYdWh38gXOR35YGHe5xabvQdsHv6PLi8qV6gycc8YH3iMfQu6Lh4ASr+F5Hh3XwVWnQYzUkVlX1nccplAb1SN6Y/sfgmlK64VS8wimldIv/0yj2QLkHizG0iWP4AVAfQ34DVQONAAAAAElFTkSuQmCC",
+        "light": "data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAABAAAAAQCAYAAAAf8/9hAAAAx0lEQVR4nJWSwQ2CQBBFX0jAcjgqXUgPJNiIsQQrIVCIFy8GC6ABDcGDX7Mus9n1Xz7zZ+fPsLPwH4bUg0dD2wMPcbR48Uxq4AKU4iSTDwZ1LhWXipN/B3V0J6hjBTvgLHZNonewBXrgDpzEvXSIjN0BE3AACmmF4kl5F6tNzcCoLpW0SvGovFvsb4oZ2AANcAOu4ka6axCcINN3rg654sww+CYsPD0OwjcozFNh/Qcd78tqVbCIW+n+Fky472Bh/Q6SYb1EEy8tDzd+9IsVPAAAAABJRU5ErkJggg=="},
+        "is_builtin": true, "package": "promptflow-tools", "package_version": "1.4.0rc1",
+        "default_prompt": "# system:\nAs an AI assistant, your task involves interpreting
+        images and responding to questions about the image.\nRemember to provide accurate
+        answers based on the information present in the image.\n\n# user:\nCan you
+        tell me what the image depicts?\n![image]({{image_input}})\n", "enable_kwargs":
+        false, "tool_state": "preview"}, {"name": "Serp API", "type": "python", "inputs":
+        {"connection": {"type": ["SerpConnection"], "allow_manual_entry": false, "is_multi_select":
+        false, "input_type": "default"}, "engine": {"type": ["string"], "default":
+        "google", "enum": ["google", "bing"], "allow_manual_entry": false, "is_multi_select":
+        false, "input_type": "default"}, "location": {"type": ["string"], "default":
+        "", "allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
+        "num": {"type": ["int"], "default": "10", "allow_manual_entry": false, "is_multi_select":
+        false, "input_type": "default"}, "query": {"type": ["string"], "allow_manual_entry":
+        false, "is_multi_select": false, "input_type": "default"}, "safe": {"type":
+        ["string"], "default": "off", "enum": ["active", "off"], "allow_manual_entry":
+        false, "is_multi_select": false, "input_type": "default"}}, "description":
+        "Use Serp API to obtain search results from a specific search engine.", "module":
+        "promptflow.tools.serpapi", "class_name": "SerpAPI", "function": "search",
+        "is_builtin": true, "package": "promptflow-tools", "package_version": "1.4.0rc1",
+        "enable_kwargs": false, "tool_state": "stable"}, {"name": "Index Lookup",
+        "type": "python", "inputs": {"acs_content_field": {"type": ["string"], "enabled_by":
+        "index_type", "enabled_by_value": ["Azure AI Search"], "dynamic_list": {"func_path":
+        "promptflow_vectordb.tool.common_index_lookup_utils.list_acs_index_fields",
+        "func_kwargs": [{"name": "acs_connection", "optional": false, "reference":
+        "${inputs.acs_index_connection}", "type": ["CognitiveSearchConnection"]},
+        {"name": "acs_index_name", "optional": false, "reference": "${inputs.acs_index_name}",
+        "type": ["string"]}, {"default": "Edm.String", "name": "field_data_type",
+        "optional": false, "type": ["string"]}]}, "allow_manual_entry": false, "is_multi_select":
+        false, "input_type": "uionly_hidden"}, "acs_embedding_field": {"type": ["string"],
+        "enabled_by": "index_type", "enabled_by_value": ["Azure AI Search"], "dynamic_list":
+        {"func_path": "promptflow_vectordb.tool.common_index_lookup_utils.list_acs_index_fields",
+        "func_kwargs": [{"name": "acs_connection", "optional": false, "reference":
+        "${inputs.acs_index_connection}", "type": ["CognitiveSearchConnection"]},
+        {"name": "acs_index_name", "optional": false, "reference": "${inputs.acs_index_name}",
+        "type": ["string"]}, {"default": "Collection(Edm.Single)", "name": "field_data_type",
+        "optional": false, "type": ["string"]}]}, "allow_manual_entry": false, "is_multi_select":
+        false, "input_type": "uionly_hidden"}, "acs_index_connection": {"type": ["CognitiveSearchConnection"],
+        "enabled_by": "index_type", "enabled_by_value": ["Azure AI Search"], "allow_manual_entry":
+        false, "is_multi_select": false, "input_type": "uionly_hidden"}, "acs_index_name":
+        {"type": ["string"], "enabled_by": "index_type", "enabled_by_value": ["Azure
+        AI Search"], "dynamic_list": {"func_path": "promptflow_vectordb.tool.common_index_lookup_utils.list_acs_indices",
+        "func_kwargs": [{"name": "acs_connection", "optional": false, "reference":
+        "${inputs.acs_index_connection}", "type": ["CognitiveSearchConnection"]}]},
+        "allow_manual_entry": false, "is_multi_select": false, "input_type": "uionly_hidden"},
+        "acs_metadata_field": {"type": ["string"], "enabled_by": "index_type", "enabled_by_value":
+        ["Azure AI Search"], "dynamic_list": {"func_path": "promptflow_vectordb.tool.common_index_lookup_utils.list_acs_index_fields",
+        "func_kwargs": [{"name": "acs_connection", "optional": false, "reference":
+        "${inputs.acs_index_connection}", "type": ["CognitiveSearchConnection"]},
+        {"name": "acs_index_name", "optional": false, "reference": "${inputs.acs_index_name}",
+        "type": ["string"]}, {"default": "Edm.String", "name": "field_data_type",
+        "optional": false, "type": ["string"]}]}, "allow_manual_entry": false, "is_multi_select":
+        false, "input_type": "uionly_hidden"}, "aoai_embedding_connection": {"type":
+        ["AzureOpenAIConnection"], "enabled_by": "embedding_type", "enabled_by_value":
+        ["Azure OpenAI"], "allow_manual_entry": false, "is_multi_select": false, "input_type":
+        "uionly_hidden"}, "embedding_deployment": {"type": ["string"], "enabled_by":
+        "embedding_type", "enabled_by_value": ["Azure OpenAI"], "dynamic_list": {"func_path":
+        "promptflow_vectordb.tool.common_index_lookup_utils.list_aoai_embedding_deployments",
+        "func_kwargs": [{"name": "aoai_connection", "optional": false, "reference":
+        "${inputs.aoai_embedding_connection}", "type": ["AzurOpenAIConnection"]}]},
+        "allow_manual_entry": false, "is_multi_select": false, "input_type": "uionly_hidden"},
+        "embedding_model": {"type": ["string"], "enabled_by": "embedding_type", "enabled_by_value":
+        ["OpenAI", "Hugging Face"], "dynamic_list": {"func_path": "promptflow_vectordb.tool.common_index_lookup_utils.list_embedding_models",
+        "func_kwargs": [{"name": "embedding_type", "optional": false, "reference":
+        "${inputs.embedding_type}", "type": ["string"]}]}, "allow_manual_entry": false,
+        "is_multi_select": false, "input_type": "uionly_hidden"}, "embedding_type":
+        {"type": ["string"], "enabled_by": "index_type", "enabled_by_value": ["Azure
+        AI Search", "FAISS", "Pinecone"], "dynamic_list": {"func_path": "promptflow_vectordb.tool.common_index_lookup_utils.list_available_embedding_types",
+        "func_kwargs": [{"name": "index_type", "optional": false, "reference": "${inputs.index_type}",
+        "type": ["string"]}]}, "allow_manual_entry": false, "is_multi_select": false,
+        "input_type": "uionly_hidden"}, "faiss_index_path": {"type": ["string"], "enabled_by":
+        "index_type", "enabled_by_value": ["FAISS"], "allow_manual_entry": false,
+        "is_multi_select": false, "input_type": "uionly_hidden"}, "index_type": {"type":
+        ["string"], "dynamic_list": {"func_path": "promptflow_vectordb.tool.common_index_lookup_utils.list_available_index_types"},
+        "allow_manual_entry": false, "is_multi_select": false, "input_type": "uionly_hidden"},
+        "mlindex_asset_id": {"type": ["string"], "enabled_by": "index_type", "enabled_by_value":
+        ["Registered Index"], "dynamic_list": {"func_path": "promptflow_vectordb.tool.common_index_lookup_utils.list_registered_mlindices"},
+        "allow_manual_entry": false, "is_multi_select": false, "input_type": "uionly_hidden"},
+        "mlindex_content": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
+        false, "generated_by": {"func_path": "promptflow_vectordb.tool.common_index_lookup_utils.forward_mapping",
+        "func_kwargs": [{"name": "index_type", "reference": "${inputs.index_type}",
+        "type": ["string"]}, {"name": "mlindex_asset_id", "optional": true, "reference":
+        "${inputs.mlindex_asset_id}", "type": ["string"]}, {"name": "mlindex_path",
+        "optional": true, "reference": "${inputs.mlindex_path}", "type": ["string"]},
+        {"name": "acs_index_connection", "optional": true, "reference": "${inputs.acs_index_connection}",
+        "type": ["CognitiveSearchConnection"]}, {"name": "acs_index_name", "optional":
+        true, "reference": "${inputs.acs_index_name}", "type": ["string"]}, {"name":
+        "acs_content_field", "optional": true, "reference": "${inputs.acs_content_field}",
+        "type": ["string"]}, {"name": "acs_embedding_field", "optional": true, "reference":
+        "${inputs.acs_embedding_field}", "type": ["string"]}, {"name": "acs_metadata_field",
+        "optional": true, "reference": "${inputs.acs_metadata_field}", "type": ["string"]},
+        {"name": "semantic_configuration", "optional": true, "reference": "${inputs.semantic_configuration}",
+        "type": ["string"]}, {"name": "faiss_index_path", "optional": true, "reference":
+        "${inputs.faiss_index_path}", "type": ["string"]}, {"name": "pinecone_index_connection",
+        "optional": true, "reference": "${inputs.pinecone_index_connection}", "type":
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+        08:44:15 +0000     141 promptflow-runtime INFO     Successfully validated
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+        for Run batch_run_name...\n2024-03-13 08:44:29 +0000     141 promptflow-runtime
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+        08:44:29 +0000     141 promptflow-runtime INFO     Creating unregistered output
+        Asset for Run batch_run_name...\n2024-03-13 08:44:29 +0000     141 promptflow-runtime
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+        08:44:29 +0000     141 promptflow-runtime INFO     Creating Artifact for Run
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diff --git a/src/promptflow/tests/test_configs/recordings/test_run_operations_TestFlowRun_test_eager_flow_cancel.yaml b/src/promptflow-recording/recordings/azure/test_run_operations_TestFlowRun_test_eager_flow_cancel.yaml
similarity index 100%
rename from src/promptflow/tests/test_configs/recordings/test_run_operations_TestFlowRun_test_eager_flow_cancel.yaml
rename to src/promptflow-recording/recordings/azure/test_run_operations_TestFlowRun_test_eager_flow_cancel.yaml
diff --git a/src/promptflow/tests/test_configs/recordings/test_run_operations_TestFlowRun_test_eager_flow_crud.yaml b/src/promptflow-recording/recordings/azure/test_run_operations_TestFlowRun_test_eager_flow_crud.yaml
similarity index 100%
rename from src/promptflow/tests/test_configs/recordings/test_run_operations_TestFlowRun_test_eager_flow_crud.yaml
rename to src/promptflow-recording/recordings/azure/test_run_operations_TestFlowRun_test_eager_flow_crud.yaml
diff --git a/src/promptflow/tests/test_configs/recordings/test_run_operations_TestFlowRun_test_eager_flow_download.yaml b/src/promptflow-recording/recordings/azure/test_run_operations_TestFlowRun_test_eager_flow_download.yaml
similarity index 100%
rename from src/promptflow/tests/test_configs/recordings/test_run_operations_TestFlowRun_test_eager_flow_download.yaml
rename to src/promptflow-recording/recordings/azure/test_run_operations_TestFlowRun_test_eager_flow_download.yaml
diff --git a/src/promptflow/tests/test_configs/recordings/test_run_operations_TestFlowRun_test_eager_flow_meta_generation.yaml b/src/promptflow-recording/recordings/azure/test_run_operations_TestFlowRun_test_eager_flow_meta_generation.yaml
similarity index 100%
rename from src/promptflow/tests/test_configs/recordings/test_run_operations_TestFlowRun_test_eager_flow_meta_generation.yaml
rename to src/promptflow-recording/recordings/azure/test_run_operations_TestFlowRun_test_eager_flow_meta_generation.yaml
diff --git a/src/promptflow-recording/recordings/azure/test_run_operations_TestFlowRun_test_eager_flow_run_without_yaml.yaml b/src/promptflow-recording/recordings/azure/test_run_operations_TestFlowRun_test_eager_flow_run_without_yaml.yaml
new file mode 100644
index 00000000000..7d81b0e4eef
--- /dev/null
+++ b/src/promptflow-recording/recordings/azure/test_run_operations_TestFlowRun_test_eager_flow_run_without_yaml.yaml
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+        09:00:42 +0000      92 promptflow-runtime INFO     Download snapshot d8987d37-16d4-441c-9c6c-b46b333f6e26
+        completed.\n2024-03-13 09:00:42 +0000      92 promptflow-runtime INFO     Successfully
+        download snapshot to /mnt/host/service/app/37743/requests/name\n2024-03-13
+        09:00:42 +0000      92 promptflow-runtime INFO     About to execute a python
+        flow.\n2024-03-13 09:00:42 +0000      92 promptflow-runtime INFO     Use spawn
+        method to start child process.\n2024-03-13 09:00:42 +0000      92 promptflow-runtime
+        INFO     Starting to check process 293 status for run name\n2024-03-13 09:00:42
+        +0000      92 promptflow-runtime INFO     Start checking run status for run
+        name\n2024-03-13 09:00:46 +0000     293 promptflow-runtime INFO     [92--293]
+        Start processing flowV2......\n2024-03-13 09:00:46 +0000     293 promptflow-runtime
+        INFO     Runtime version: 20240306.v5. PromptFlow version: 1.7.0rc2\n2024-03-13
+        09:00:46 +0000     293 promptflow-runtime INFO     Setting mlflow tracking
+        uri...\n2024-03-13 09:00:46 +0000     293 promptflow-runtime INFO     Validating
+        ''AzureML Data Scientist'' user authentication...\n2024-03-13 09:00:46 +0000     293
+        promptflow-runtime INFO     Successfully validated ''AzureML Data Scientist''
+        user authentication.\n2024-03-13 09:00:47 +0000     293 promptflow-runtime
+        INFO     Using AzureMLRunStorageV2\n2024-03-13 09:00:47 +0000     293 promptflow-runtime
+        INFO     Setting mlflow tracking uri to ''azureml://eastus.api.azureml.ms/mlflow/v1.0/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/promptflow-eastus''\n2024-03-13
+        09:00:47 +0000     293 promptflow-runtime INFO     Initialized blob service
+        client.\n2024-03-13 09:00:47 +0000     293 promptflow-runtime INFO     Blob
+        service client has api version: 2023-11-03\n2024-03-13 09:00:47 +0000     293
+        promptflow-runtime INFO     Setting mlflow tracking uri to ''azureml://eastus.api.azureml.ms/mlflow/v1.0/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/promptflow-eastus''\n2024-03-13
+        09:00:48 +0000     293 promptflow-runtime INFO     Resolve data from url finished
+        in 1.2522469599999795 seconds\n2024-03-13 09:00:48 +0000     293 promptflow-runtime
+        INFO     Starting the aml run ''name''...\n2024-03-13 09:00:49 +0000     293
+        execution          WARNING  Starting run without column mapping may lead to
+        unexpected results. Please consult the following documentation for more information:
+        https://aka.ms/pf/column-mapping\n2024-03-13 09:00:49 +0000     293 execution.bulk     INFO     Skipped
+        the execution of 0 existing results.\n2024-03-13 09:00:49 +0000     293 execution.bulk     INFO     The
+        timeout for the batch run is 36000 seconds.\n2024-03-13 09:00:49 +0000     293
+        execution.bulk     INFO     Set process count to 1 by taking the minimum value
+        among the factors of {''default_worker_count'': 4, ''row_count'': 1}.\n2024-03-13
+        09:00:53 +0000     293 execution.bulk     INFO     Process name(ForkProcess-2:2:1)-Process
+        id(365)-Line number(0) start execution.\n2024-03-13 09:00:53 +0000     293
+        execution.bulk     INFO     Process name(ForkProcess-2:2:1)-Process id(365)-Line
+        number(0) completed.\n2024-03-13 09:00:54 +0000     293 execution.bulk     INFO     Finished
+        1 / 1 lines.\n2024-03-13 09:00:54 +0000     293 execution.bulk     INFO     Average
+        execution time for completed lines: 5.0 seconds. Estimated time for incomplete
+        lines: 0.0 seconds.\n2024-03-13 09:00:54 +0000     365 execution.bulk     WARNING  Error
+        occurred while shutting down tracer provider: ''ProxyTracerProvider'' object
+        has no attribute ''shutdown''\n2024-03-13 09:00:55 +0000     293 promptflow-runtime
+        INFO     Post processing batch result...\n2024-03-13 09:00:56 +0000     293
+        execution.bulk     INFO     Upload status summary metrics for run name finished
+        in 0.8281193400000575 seconds\n2024-03-13 09:00:56 +0000     293 promptflow-runtime
+        INFO     Successfully write run properties {\"azureml.promptflow.total_tokens\":
+        0, \"_azureml.evaluate_artifacts\": \"[{\\\"path\\\": \\\"instance_results.jsonl\\\",
+        \\\"type\\\": \\\"table\\\"}]\"} with run id ''name''\n2024-03-13 09:00:56
+        +0000     293 execution.bulk     INFO     Upload RH properties for run name
+        finished in 0.07297565199996825 seconds\n2024-03-13 09:00:56 +0000     293
+        promptflow-runtime INFO     Creating unregistered output Asset for Run name...\n2024-03-13
+        09:00:56 +0000     293 promptflow-runtime INFO     Created debug_info Asset:
+        azureml://locations/eastus/workspaces/00000/data/azureml_name_output_data_debug_info/versions/1\n2024-03-13
+        09:00:56 +0000     293 promptflow-runtime INFO     Creating unregistered output
+        Asset for Run name...\n2024-03-13 09:00:57 +0000     293 promptflow-runtime
+        INFO     Created flow_outputs output Asset: azureml://locations/eastus/workspaces/00000/data/azureml_name_output_data_flow_outputs/versions/1\n2024-03-13
+        09:00:57 +0000     293 promptflow-runtime INFO     Creating Artifact for Run
+        name...\n2024-03-13 09:01:00 +0000     293 promptflow-runtime INFO     Created
+        instance_results.jsonl Artifact.\n2024-03-13 09:01:00 +0000     293 promptflow-runtime
+        INFO     Patching name...\n2024-03-13 09:01:00 +0000     293 promptflow-runtime
+        INFO     Ending the aml run ''name'' with status ''Completed''...\n"'
+    headers:
+      connection:
+      - keep-alive
+      content-length:
+      - '8434'
+      content-type:
+      - application/json; charset=utf-8
+      strict-transport-security:
+      - max-age=31536000; includeSubDomains; preload
+      transfer-encoding:
+      - chunked
+      vary:
+      - Accept-Encoding
+      x-content-type-options:
+      - nosniff
+      x-request-time:
+      - '0.379'
+    status:
+      code: 200
+      message: OK
+version: 1
diff --git a/src/promptflow/tests/test_configs/recordings/test_run_operations_TestFlowRun_test_failed_run_to_dict_exclude.yaml b/src/promptflow-recording/recordings/azure/test_run_operations_TestFlowRun_test_failed_run_to_dict_exclude.yaml
similarity index 100%
rename from src/promptflow/tests/test_configs/recordings/test_run_operations_TestFlowRun_test_failed_run_to_dict_exclude.yaml
rename to src/promptflow-recording/recordings/azure/test_run_operations_TestFlowRun_test_failed_run_to_dict_exclude.yaml
diff --git a/src/promptflow/tests/test_configs/recordings/test_run_operations_TestFlowRun_test_flow_id_in_submission.yaml b/src/promptflow-recording/recordings/azure/test_run_operations_TestFlowRun_test_flow_id_in_submission.yaml
similarity index 100%
rename from src/promptflow/tests/test_configs/recordings/test_run_operations_TestFlowRun_test_flow_id_in_submission.yaml
rename to src/promptflow-recording/recordings/azure/test_run_operations_TestFlowRun_test_flow_id_in_submission.yaml
diff --git a/src/promptflow/tests/test_configs/recordings/test_run_operations_TestFlowRun_test_get_detail_against_partial_fail_run.yaml b/src/promptflow-recording/recordings/azure/test_run_operations_TestFlowRun_test_get_detail_against_partial_fail_run.yaml
similarity index 100%
rename from src/promptflow/tests/test_configs/recordings/test_run_operations_TestFlowRun_test_get_detail_against_partial_fail_run.yaml
rename to src/promptflow-recording/recordings/azure/test_run_operations_TestFlowRun_test_get_detail_against_partial_fail_run.yaml
diff --git a/src/promptflow/tests/test_configs/recordings/test_run_operations_TestFlowRun_test_get_details_against_partial_completed_run.yaml b/src/promptflow-recording/recordings/azure/test_run_operations_TestFlowRun_test_get_details_against_partial_completed_run.yaml
similarity index 100%
rename from src/promptflow/tests/test_configs/recordings/test_run_operations_TestFlowRun_test_get_details_against_partial_completed_run.yaml
rename to src/promptflow-recording/recordings/azure/test_run_operations_TestFlowRun_test_get_details_against_partial_completed_run.yaml
diff --git a/src/promptflow/tests/test_configs/recordings/test_run_operations_TestFlowRun_test_get_invalid_run_cases.yaml b/src/promptflow-recording/recordings/azure/test_run_operations_TestFlowRun_test_get_invalid_run_cases.yaml
similarity index 100%
rename from src/promptflow/tests/test_configs/recordings/test_run_operations_TestFlowRun_test_get_invalid_run_cases.yaml
rename to src/promptflow-recording/recordings/azure/test_run_operations_TestFlowRun_test_get_invalid_run_cases.yaml
diff --git a/src/promptflow/tests/test_configs/recordings/test_run_operations_TestFlowRun_test_input_mapping_with_dict.yaml b/src/promptflow-recording/recordings/azure/test_run_operations_TestFlowRun_test_input_mapping_with_dict.yaml
similarity index 100%
rename from src/promptflow/tests/test_configs/recordings/test_run_operations_TestFlowRun_test_input_mapping_with_dict.yaml
rename to src/promptflow-recording/recordings/azure/test_run_operations_TestFlowRun_test_input_mapping_with_dict.yaml
diff --git a/src/promptflow/tests/test_configs/recordings/test_run_operations_TestFlowRun_test_list_runs.yaml b/src/promptflow-recording/recordings/azure/test_run_operations_TestFlowRun_test_list_runs.yaml
similarity index 100%
rename from src/promptflow/tests/test_configs/recordings/test_run_operations_TestFlowRun_test_list_runs.yaml
rename to src/promptflow-recording/recordings/azure/test_run_operations_TestFlowRun_test_list_runs.yaml
diff --git a/src/promptflow/tests/test_configs/recordings/test_run_operations_TestFlowRun_test_pf_run_with_env_var.yaml b/src/promptflow-recording/recordings/azure/test_run_operations_TestFlowRun_test_pf_run_with_env_var.yaml
similarity index 100%
rename from src/promptflow/tests/test_configs/recordings/test_run_operations_TestFlowRun_test_pf_run_with_env_var.yaml
rename to src/promptflow-recording/recordings/azure/test_run_operations_TestFlowRun_test_pf_run_with_env_var.yaml
diff --git a/src/promptflow/tests/test_configs/recordings/test_run_operations_TestFlowRun_test_request_id_when_making_http_requests.yaml b/src/promptflow-recording/recordings/azure/test_run_operations_TestFlowRun_test_request_id_when_making_http_requests.yaml
similarity index 100%
rename from src/promptflow/tests/test_configs/recordings/test_run_operations_TestFlowRun_test_request_id_when_making_http_requests.yaml
rename to src/promptflow-recording/recordings/azure/test_run_operations_TestFlowRun_test_request_id_when_making_http_requests.yaml
diff --git a/src/promptflow/tests/test_configs/recordings/test_run_operations_TestFlowRun_test_requirements_in_additional_includes.yaml b/src/promptflow-recording/recordings/azure/test_run_operations_TestFlowRun_test_requirements_in_additional_includes.yaml
similarity index 100%
rename from src/promptflow/tests/test_configs/recordings/test_run_operations_TestFlowRun_test_requirements_in_additional_includes.yaml
rename to src/promptflow-recording/recordings/azure/test_run_operations_TestFlowRun_test_requirements_in_additional_includes.yaml
diff --git a/src/promptflow/tests/test_configs/recordings/test_run_operations_TestFlowRun_test_run_bulk.yaml b/src/promptflow-recording/recordings/azure/test_run_operations_TestFlowRun_test_run_bulk.yaml
similarity index 53%
rename from src/promptflow/tests/test_configs/recordings/test_run_operations_TestFlowRun_test_run_bulk.yaml
rename to src/promptflow-recording/recordings/azure/test_run_operations_TestFlowRun_test_run_bulk.yaml
index e925ad5d334..e57162bbe69 100644
--- a/src/promptflow/tests/test_configs/recordings/test_run_operations_TestFlowRun_test_run_bulk.yaml
+++ b/src/promptflow-recording/recordings/azure/test_run_operations_TestFlowRun_test_run_bulk.yaml
@@ -5,12 +5,12 @@ interactions:
       Accept:
       - application/json
       Accept-Encoding:
-      - gzip, deflate
+      - gzip, deflate, br
       Connection:
       - keep-alive
       User-Agent:
-      - promptflow-sdk/0.0.1 azure-ai-ml/1.12.1 azsdk-python-mgmt-machinelearningservices/0.1.0
-        Python/3.10.13 (Windows-10-10.0.22631-SP0)
+      - promptflow-sdk/0.0.1 azure-ai-ml/1.13.0 azsdk-python-mgmt-machinelearningservices/0.1.0
+        Python/3.9.18 (Windows-10-10.0.22631-SP0)
     method: GET
     uri: https://management.azure.com/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000
   response:
@@ -32,14 +32,14 @@ interactions:
       - no-cache
       strict-transport-security:
       - max-age=31536000; includeSubDomains
-      transfer-encoding:
-      - chunked
       vary:
-      - Accept-Encoding,Accept-Encoding
+      - Accept-Encoding
+      x-cache:
+      - CONFIG_NOCACHE
       x-content-type-options:
       - nosniff
       x-request-time:
-      - '0.027'
+      - '0.018'
     status:
       code: 200
       message: OK
@@ -49,12 +49,12 @@ interactions:
       Accept:
       - application/json
       Accept-Encoding:
-      - gzip, deflate
+      - gzip, deflate, br
       Connection:
       - keep-alive
       User-Agent:
-      - promptflow-sdk/0.0.1 azure-ai-ml/1.12.1 azsdk-python-mgmt-machinelearningservices/0.1.0
-        Python/3.10.13 (Windows-10-10.0.22631-SP0)
+      - promptflow-sdk/0.0.1 azure-ai-ml/1.13.0 azsdk-python-mgmt-machinelearningservices/0.1.0
+        Python/3.9.18 (Windows-10-10.0.22631-SP0)
     method: GET
     uri: https://management.azure.com/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/datastores?count=30&isDefault=true&orderByAsc=false
   response:
@@ -84,14 +84,14 @@ interactions:
       - no-cache
       strict-transport-security:
       - max-age=31536000; includeSubDomains
-      transfer-encoding:
-      - chunked
       vary:
-      - Accept-Encoding,Accept-Encoding
+      - Accept-Encoding
+      x-cache:
+      - CONFIG_NOCACHE
       x-content-type-options:
       - nosniff
       x-request-time:
-      - '0.214'
+      - '0.556'
     status:
       code: 200
       message: OK
@@ -101,12 +101,12 @@ interactions:
       Accept:
       - application/json
       Accept-Encoding:
-      - gzip, deflate
+      - gzip, deflate, br
       Connection:
       - keep-alive
       User-Agent:
-      - promptflow-sdk/0.0.1 azure-ai-ml/1.12.1 azsdk-python-mgmt-machinelearningservices/0.1.0
-        Python/3.10.13 (Windows-10-10.0.22631-SP0)
+      - promptflow-sdk/0.0.1 azure-ai-ml/1.13.0 azsdk-python-mgmt-machinelearningservices/0.1.0
+        Python/3.9.18 (Windows-10-10.0.22631-SP0)
     method: GET
     uri: https://management.azure.com/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/datastores/workspaceblobstore
   response:
@@ -136,14 +136,14 @@ interactions:
       - no-cache
       strict-transport-security:
       - max-age=31536000; includeSubDomains
-      transfer-encoding:
-      - chunked
       vary:
-      - Accept-Encoding,Accept-Encoding
+      - Accept-Encoding
+      x-cache:
+      - CONFIG_NOCACHE
       x-content-type-options:
       - nosniff
       x-request-time:
-      - '0.066'
+      - '0.514'
     status:
       code: 200
       message: OK
@@ -153,14 +153,14 @@ interactions:
       Accept:
       - application/json
       Accept-Encoding:
-      - gzip, deflate
+      - gzip, deflate, br
       Connection:
       - keep-alive
       Content-Length:
       - '0'
       User-Agent:
-      - promptflow-sdk/0.0.1 azure-ai-ml/1.12.1 azsdk-python-mgmt-machinelearningservices/0.1.0
-        Python/3.10.13 (Windows-10-10.0.22631-SP0)
+      - promptflow-sdk/0.0.1 azure-ai-ml/1.13.0 azsdk-python-mgmt-machinelearningservices/0.1.0
+        Python/3.9.18 (Windows-10-10.0.22631-SP0)
     method: POST
     uri: https://management.azure.com/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/datastores/workspaceblobstore/listSecrets
   response:
@@ -179,14 +179,12 @@ interactions:
       - no-cache
       strict-transport-security:
       - max-age=31536000; includeSubDomains
-      transfer-encoding:
-      - chunked
-      vary:
-      - Accept-Encoding
+      x-cache:
+      - CONFIG_NOCACHE
       x-content-type-options:
       - nosniff
       x-request-time:
-      - '0.192'
+      - '0.184'
     status:
       code: 200
       message: OK
@@ -196,13 +194,13 @@ interactions:
       Accept:
       - application/xml
       Accept-Encoding:
-      - gzip, deflate
+      - gzip, deflate, br
       Connection:
       - keep-alive
       User-Agent:
-      - azsdk-python-storage-blob/12.19.0 Python/3.10.13 (Windows-10-10.0.22631-SP0)
+      - azsdk-python-storage-blob/12.19.0 Python/3.9.18 (Windows-10-10.0.22631-SP0)
       x-ms-date:
-      - Fri, 12 Jan 2024 08:39:26 GMT
+      - Wed, 13 Mar 2024 08:36:46 GMT
       x-ms-version:
       - '2023-11-03'
     method: HEAD
@@ -246,13 +244,13 @@ interactions:
       Accept:
       - application/xml
       Accept-Encoding:
-      - gzip, deflate
+      - gzip, deflate, br
       Connection:
       - keep-alive
       User-Agent:
-      - azsdk-python-storage-blob/12.19.0 Python/3.10.13 (Windows-10-10.0.22631-SP0)
+      - azsdk-python-storage-blob/12.19.0 Python/3.9.18 (Windows-10-10.0.22631-SP0)
       x-ms-date:
-      - Fri, 12 Jan 2024 08:39:27 GMT
+      - Wed, 13 Mar 2024 08:36:48 GMT
       x-ms-version:
       - '2023-11-03'
     method: HEAD
@@ -280,12 +278,12 @@ interactions:
       Accept:
       - application/json
       Accept-Encoding:
-      - gzip, deflate
+      - gzip, deflate, br
       Connection:
       - keep-alive
       User-Agent:
-      - promptflow-sdk/0.0.1 azure-ai-ml/1.12.1 azsdk-python-mgmt-machinelearningservices/0.1.0
-        Python/3.10.13 (Windows-10-10.0.22631-SP0)
+      - promptflow-sdk/0.0.1 azure-ai-ml/1.13.0 azsdk-python-mgmt-machinelearningservices/0.1.0
+        Python/3.9.18 (Windows-10-10.0.22631-SP0)
     method: GET
     uri: https://management.azure.com/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/datastores/workspaceblobstore
   response:
@@ -315,14 +313,14 @@ interactions:
       - no-cache
       strict-transport-security:
       - max-age=31536000; includeSubDomains
-      transfer-encoding:
-      - chunked
       vary:
-      - Accept-Encoding,Accept-Encoding
+      - Accept-Encoding
+      x-cache:
+      - CONFIG_NOCACHE
       x-content-type-options:
       - nosniff
       x-request-time:
-      - '0.093'
+      - '0.090'
     status:
       code: 200
       message: OK
@@ -332,14 +330,14 @@ interactions:
       Accept:
       - application/json
       Accept-Encoding:
-      - gzip, deflate
+      - gzip, deflate, br
       Connection:
       - keep-alive
       Content-Length:
       - '0'
       User-Agent:
-      - promptflow-sdk/0.0.1 azure-ai-ml/1.12.1 azsdk-python-mgmt-machinelearningservices/0.1.0
-        Python/3.10.13 (Windows-10-10.0.22631-SP0)
+      - promptflow-sdk/0.0.1 azure-ai-ml/1.13.0 azsdk-python-mgmt-machinelearningservices/0.1.0
+        Python/3.9.18 (Windows-10-10.0.22631-SP0)
     method: POST
     uri: https://management.azure.com/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/datastores/workspaceblobstore/listSecrets
   response:
@@ -358,14 +356,12 @@ interactions:
       - no-cache
       strict-transport-security:
       - max-age=31536000; includeSubDomains
-      transfer-encoding:
-      - chunked
-      vary:
-      - Accept-Encoding
+      x-cache:
+      - CONFIG_NOCACHE
       x-content-type-options:
       - nosniff
       x-request-time:
-      - '0.081'
+      - '0.120'
     status:
       code: 200
       message: OK
@@ -375,13 +371,13 @@ interactions:
       Accept:
       - application/xml
       Accept-Encoding:
-      - gzip, deflate
+      - gzip, deflate, br
       Connection:
       - keep-alive
       User-Agent:
-      - azsdk-python-storage-blob/12.19.0 Python/3.10.13 (Windows-10-10.0.22631-SP0)
+      - azsdk-python-storage-blob/12.19.0 Python/3.9.18 (Windows-10-10.0.22631-SP0)
       x-ms-date:
-      - Fri, 12 Jan 2024 08:39:31 GMT
+      - Wed, 13 Mar 2024 08:36:51 GMT
       x-ms-version:
       - '2023-11-03'
     method: HEAD
@@ -425,13 +421,13 @@ interactions:
       Accept:
       - application/xml
       Accept-Encoding:
-      - gzip, deflate
+      - gzip, deflate, br
       Connection:
       - keep-alive
       User-Agent:
-      - azsdk-python-storage-blob/12.19.0 Python/3.10.13 (Windows-10-10.0.22631-SP0)
+      - azsdk-python-storage-blob/12.19.0 Python/3.9.18 (Windows-10-10.0.22631-SP0)
       x-ms-date:
-      - Fri, 12 Jan 2024 08:39:32 GMT
+      - Wed, 13 Mar 2024 08:36:53 GMT
       x-ms-version:
       - '2023-11-03'
     method: HEAD
@@ -457,25 +453,25 @@ interactions:
     body: '{"flowDefinitionDataStoreName": "workspaceblobstore", "flowDefinitionBlobPath":
       "LocalUpload/000000000000000000000000000000000000/web_classification/flow.dag.yaml",
       "runId": "name", "runDisplayName": "name", "runExperimentName": "", "nodeVariant":
-      "${summarize_text_content.variant_0}", "batchDataInput": {"dataUri": "azureml://datastores/workspaceblobstore/paths/LocalUpload/000000000000000000000000000000000000/webClassification1.jsonl"},
-      "inputsMapping": {"url": "${data.url}"}, "connections": {}, "environmentVariables":
-      {}, "runtimeName": "fake-runtime-name", "sessionId": "000000000000000000000000000000000000000000000000",
+      "${summarize_text_content.variant_0}", "sessionId": "000000000000000000000000000000000000000000000000",
       "sessionSetupMode": "SystemWait", "flowLineageId": "0000000000000000000000000000000000000000000000000000000000000000",
-      "runDisplayNameGenerationType": "UserProvidedMacro"}'
+      "runtimeName": "fake-runtime-name", "batchDataInput": {"dataUri": "azureml://datastores/workspaceblobstore/paths/LocalUpload/000000000000000000000000000000000000/webClassification1.jsonl"},
+      "inputsMapping": {"url": "${data.url}"}, "connections": {}, "environmentVariables":
+      {}, "runDisplayNameGenerationType": "UserProvidedMacro"}'
     headers:
       Accept:
       - application/json
       Accept-Encoding:
-      - gzip, deflate
+      - gzip, deflate, br
       Connection:
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       Content-Length:
-      - '873'
+      - '864'
       Content-Type:
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       User-Agent:
       - promptflow-sdk/0.0.1 azsdk-python-azuremachinelearningdesignerserviceclient/unknown
-        Python/3.10.13 (Windows-10-10.0.22631-SP0)
+        Python/3.9.18 (Windows-10-10.0.22631-SP0)
     method: POST
     uri: https://eastus.api.azureml.ms/flow/api/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/BulkRuns/submit
   response:
@@ -489,11 +485,11 @@ interactions:
       content-type:
       - application/json; charset=utf-8
       strict-transport-security:
-      - max-age=15724800; includeSubDomains; preload
+      - max-age=31536000; includeSubDomains; preload
       x-content-type-options:
       - nosniff
       x-request-time:
-      - '6.880'
+      - '13.164'
     status:
       code: 200
       message: OK
@@ -503,12 +499,12 @@ interactions:
       Accept:
       - application/json
       Accept-Encoding:
-      - gzip, deflate
+      - gzip, deflate, br
       Connection:
       - keep-alive
       User-Agent:
       - promptflow-sdk/0.0.1 azsdk-python-azuremachinelearningdesignerserviceclient/unknown
-        Python/3.10.13 (Windows-10-10.0.22631-SP0)
+        Python/3.9.18 (Windows-10-10.0.22631-SP0)
     method: GET
     uri: https://eastus.api.azureml.ms/flow/api/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/BulkRuns/name
   response:
@@ -536,26 +532,54 @@ interactions:
         "1", "logit_bias": "", "text": "${fetch_text_content_from_url.output}"}, "tool":
         "summarize_text_content.jinja2", "reduce": false, "api": "chat", "provider":
         "AzureOpenAI", "connection": "azure_open_ai_connection", "module": "promptflow.tools.aoai"}],
-        "tools": [{"name": "Content Safety (Text Analyze)", "type": "python", "inputs":
-        {"connection": {"type": ["AzureContentSafetyConnection"], "allow_manual_entry":
-        false, "is_multi_select": false, "input_type": "default"}, "hate_category":
-        {"type": ["string"], "default": "medium_sensitivity", "enum": ["disable",
-        "low_sensitivity", "medium_sensitivity", "high_sensitivity"], "allow_manual_entry":
-        false, "is_multi_select": false, "input_type": "default"}, "self_harm_category":
-        {"type": ["string"], "default": "medium_sensitivity", "enum": ["disable",
-        "low_sensitivity", "medium_sensitivity", "high_sensitivity"], "allow_manual_entry":
-        false, "is_multi_select": false, "input_type": "default"}, "sexual_category":
-        {"type": ["string"], "default": "medium_sensitivity", "enum": ["disable",
-        "low_sensitivity", "medium_sensitivity", "high_sensitivity"], "allow_manual_entry":
-        false, "is_multi_select": false, "input_type": "default"}, "text": {"type":
-        ["string"], "allow_manual_entry": false, "is_multi_select": false, "input_type":
-        "default"}, "violence_category": {"type": ["string"], "default": "medium_sensitivity",
+        "tools": [{"name": "Azure OpenAI GPT-4 Turbo with Vision", "type": "custom_llm",
+        "inputs": {"connection": {"type": ["AzureOpenAIConnection"], "allow_manual_entry":
+        false, "is_multi_select": false, "input_type": "default", "ui_hints": {"index":
+        0}}, "deployment_name": {"type": ["string"], "enabled_by": "connection", "dynamic_list":
+        {"func_path": "promptflow.tools.aoai_gpt4v.list_deployment_names", "func_kwargs":
+        [{"name": "connection", "reference": "${inputs.connection}", "type": ["AzureOpenAIConnection"]}]},
+        "allow_manual_entry": true, "is_multi_select": false, "input_type": "default",
+        "ui_hints": {"index": 1}}, "frequency_penalty": {"type": ["double"], "default":
+        0, "allow_manual_entry": false, "is_multi_select": false, "input_type": "default",
+        "ui_hints": {"index": 7}}, "max_tokens": {"type": ["int"], "default": 512,
+        "allow_manual_entry": false, "is_multi_select": false, "input_type": "default",
+        "ui_hints": {"index": 4}}, "presence_penalty": {"type": ["double"], "default":
+        0, "allow_manual_entry": false, "is_multi_select": false, "input_type": "default",
+        "ui_hints": {"index": 6}}, "stop": {"type": ["list"], "default": "", "allow_manual_entry":
+        false, "is_multi_select": false, "input_type": "default", "ui_hints": {"index":
+        5}}, "temperature": {"type": ["double"], "default": 1, "allow_manual_entry":
+        false, "is_multi_select": false, "input_type": "default", "ui_hints": {"index":
+        2}}, "top_p": {"type": ["double"], "default": 1, "allow_manual_entry": false,
+        "is_multi_select": false, "input_type": "default", "ui_hints": {"index": 3}}},
+        "description": "Use Azure OpenAI GPT-4 Turbo with Vision to leverage AOAI
+        vision ability.", "module": "promptflow.tools.aoai_gpt4v", "class_name": "AzureOpenAI",
+        "function": "chat", "icon": {"dark": "data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAABAAAAAQCAYAAAAf8/9hAAAA2ElEQVR4nJXSzW3CQBAF4DUSTjk+Al1AD0ikESslpBIEheRALhEpgAYSWV8OGUublf/yLuP3PPNmdndS+gdwXZrYDmh7fGE/W+wXbaYd8IYm4rxJPnZ0boI3wZcdJxs/n+AwV7DFK7aFyfQdYIMLPvES8YJNf5yp4jMeeEYdWh38gXOR35YGHe5xabvQdsHv6PLi8qV6gycc8YH3iMfQu6Lh4ASr+F5Hh3XwVWnQYzUkVlX1nccplAb1SN6Y/sfgmlK64VS8wimldIv/0yj2QLkHizG0iWP4AVAfQ34DVQONAAAAAElFTkSuQmCC",
+        "light": "data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAABAAAAAQCAYAAAAf8/9hAAAAx0lEQVR4nJWSwQ2CQBBFX0jAcjgqXUgPJNiIsQQrIVCIFy8GC6ABDcGDX7Mus9n1Xz7zZ+fPsLPwH4bUg0dD2wMPcbR48Uxq4AKU4iSTDwZ1LhWXipN/B3V0J6hjBTvgLHZNonewBXrgDpzEvXSIjN0BE3AACmmF4kl5F6tNzcCoLpW0SvGovFvsb4oZ2AANcAOu4ka6axCcINN3rg654sww+CYsPD0OwjcozFNh/Qcd78tqVbCIW+n+Fky472Bh/Q6SYb1EEy8tDzd+9IsVPAAAAABJRU5ErkJggg=="},
+        "is_builtin": true, "package": "promptflow-tools", "package_version": "1.2.0rc1",
+        "default_prompt": "# system:\nAs an AI assistant, your task involves interpreting
+        images and responding to questions about the image.\nRemember to provide accurate
+        answers based on the information present in the image.\n\n# user:\nCan you
+        tell me what the image depicts?\n![image]({{image_input}})\n", "enable_kwargs":
+        false, "tool_state": "preview"}, {"name": "Content Safety (Text Analyze)",
+        "type": "python", "inputs": {"connection": {"type": ["AzureContentSafetyConnection"],
+        "allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
+        "hate_category": {"type": ["string"], "default": "medium_sensitivity", "enum":
+        ["disable", "low_sensitivity", "medium_sensitivity", "high_sensitivity"],
+        "allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
+        "self_harm_category": {"type": ["string"], "default": "medium_sensitivity",
         "enum": ["disable", "low_sensitivity", "medium_sensitivity", "high_sensitivity"],
-        "allow_manual_entry": false, "is_multi_select": false, "input_type": "default"}},
-        "description": "Use Azure Content Safety to detect harmful content.", "module":
-        "promptflow.tools.azure_content_safety", "function": "analyze_text", "is_builtin":
-        true, "package": "promptflow-tools", "package_version": "0.0.216", "enable_kwargs":
-        false, "deprecated_tools": ["content_safety_text.tools.content_safety_text_tool.analyze_text"],
+        "allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
+        "sexual_category": {"type": ["string"], "default": "medium_sensitivity", "enum":
+        ["disable", "low_sensitivity", "medium_sensitivity", "high_sensitivity"],
+        "allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
+        "text": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
+        false, "input_type": "default"}, "violence_category": {"type": ["string"],
+        "default": "medium_sensitivity", "enum": ["disable", "low_sensitivity", "medium_sensitivity",
+        "high_sensitivity"], "allow_manual_entry": false, "is_multi_select": false,
+        "input_type": "default"}}, "description": "Use Azure Content Safety to detect
+        harmful content.", "module": "promptflow.tools.azure_content_safety", "function":
+        "analyze_text", "is_builtin": true, "package": "promptflow-tools", "package_version":
+        "1.2.0rc1", "enable_kwargs": false, "deprecated_tools": ["content_safety_text.tools.content_safety_text_tool.analyze_text"],
         "tool_state": "stable"}, {"name": "Embedding", "type": "python", "inputs":
         {"connection": {"type": ["AzureOpenAIConnection", "OpenAIConnection"], "allow_manual_entry":
         false, "is_multi_select": false, "input_type": "default"}, "deployment_name":
@@ -566,77 +590,208 @@ interactions:
         "default"}, "input": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
         false, "input_type": "default"}, "model": {"type": ["string"], "enum": ["text-embedding-ada-002",
         "text-search-ada-doc-001", "text-search-ada-query-001"], "enabled_by": "connection",
-        "enabled_by_type": ["OpenAIConnection"], "allow_manual_entry": false, "is_multi_select":
+        "enabled_by_type": ["OpenAIConnection"], "allow_manual_entry": true, "is_multi_select":
         false, "input_type": "default"}}, "description": "Use Open AI''s embedding
         model to create an embedding vector representing the input text.", "module":
         "promptflow.tools.embedding", "function": "embedding", "is_builtin": true,
-        "package": "promptflow-tools", "package_version": "0.0.216", "enable_kwargs":
-        false, "tool_state": "stable"}, {"name": "Open Source LLM", "type": "custom_llm",
+        "package": "promptflow-tools", "package_version": "1.2.0rc1", "enable_kwargs":
+        false, "tool_state": "stable"}, {"name": "Open Model LLM", "type": "custom_llm",
         "inputs": {"api": {"type": ["string"], "enum": ["chat", "completion"], "allow_manual_entry":
-        false, "is_multi_select": false, "input_type": "default"}, "connection": {"type":
-        ["CustomConnection"], "allow_manual_entry": false, "is_multi_select": false,
-        "input_type": "default"}, "deployment_name": {"type": ["string"], "allow_manual_entry":
-        false, "is_multi_select": false, "input_type": "default"}, "endpoint_name":
-        {"type": ["string"], "default": "-- please enter an endpoint name --", "allow_manual_entry":
-        false, "is_multi_select": false, "input_type": "default"}, "max_new_tokens":
-        {"type": ["int"], "default": 500, "allow_manual_entry": false, "is_multi_select":
-        false, "input_type": "default"}, "model_kwargs": {"type": ["object"], "default":
-        "{}", "allow_manual_entry": false, "is_multi_select": false, "input_type":
-        "default", "advanced": true}, "temperature": {"type": ["double"], "default":
-        1.0, "allow_manual_entry": false, "is_multi_select": false, "input_type":
-        "default"}, "top_p": {"type": ["double"], "default": 1.0, "allow_manual_entry":
-        false, "is_multi_select": false, "input_type": "default", "advanced": true}},
-        "description": "Use an Open Source model from the Azure Model catalog, deployed
-        to an AzureML Online Endpoint for LLM Chat or Completion API calls.", "module":
-        "promptflow.tools.open_source_llm", "class_name": "OpenSourceLLM", "function":
+        false, "is_multi_select": false, "input_type": "default", "ui_hints": {"index":
+        2}}, "deployment_name": {"type": ["string"], "default": "", "dynamic_list":
+        {"func_path": "promptflow.tools.open_model_llm.list_deployment_names", "func_kwargs":
+        [{"name": "endpoint", "optional": true, "reference": "${inputs.endpoint}",
+        "type": ["string"]}]}, "allow_manual_entry": true, "is_multi_select": false,
+        "input_type": "default", "ui_hints": {"index": 1}}, "endpoint_name": {"type":
+        ["string"], "dynamic_list": {"func_path": "promptflow.tools.open_model_llm.list_endpoint_names"},
+        "allow_manual_entry": true, "is_multi_select": false, "input_type": "default",
+        "ui_hints": {"index": 0}}, "max_new_tokens": {"type": ["int"], "default":
+        500, "allow_manual_entry": false, "is_multi_select": false, "input_type":
+        "default", "ui_hints": {"index": 4}}, "model_kwargs": {"type": ["object"],
+        "default": "{}", "allow_manual_entry": false, "is_multi_select": false, "input_type":
+        "default", "advanced": true, "ui_hints": {"index": 6}}, "temperature": {"type":
+        ["double"], "default": 1.0, "allow_manual_entry": false, "is_multi_select":
+        false, "input_type": "default", "ui_hints": {"index": 3}}, "top_p": {"type":
+        ["double"], "default": 1.0, "allow_manual_entry": false, "is_multi_select":
+        false, "input_type": "default", "advanced": true, "ui_hints": {"index": 5}}},
+        "description": "Use an open model from the Azure Model catalog, deployed to
+        an AzureML Online Endpoint for LLM Chat or Completion API calls.", "module":
+        "promptflow.tools.open_model_llm", "class_name": "OpenModelLLM", "function":
         "call", "icon": "data:image/png;base64,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",
-        "is_builtin": true, "package": "promptflow-tools", "package_version": "0.0.216",
+        "is_builtin": true, "package": "promptflow-tools", "package_version": "1.2.0rc1",
         "enable_kwargs": false, "tool_state": "stable"}, {"name": "OpenAI GPT-4V",
         "type": "custom_llm", "inputs": {"connection": {"type": ["OpenAIConnection"],
-        "allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
-        "frequency_penalty": {"type": ["double"], "default": 0, "allow_manual_entry":
-        false, "is_multi_select": false, "input_type": "default"}, "max_tokens": {"type":
-        ["int"], "default": "", "allow_manual_entry": false, "is_multi_select": false,
-        "input_type": "default"}, "model": {"type": ["string"], "enum": ["gpt-4-vision-preview"],
-        "allow_manual_entry": true, "is_multi_select": false, "input_type": "default"},
-        "presence_penalty": {"type": ["double"], "default": 0, "allow_manual_entry":
-        false, "is_multi_select": false, "input_type": "default"}, "stop": {"type":
-        ["list"], "default": "", "allow_manual_entry": false, "is_multi_select": false,
-        "input_type": "default"}, "temperature": {"type": ["double"], "default": 1,
-        "allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
-        "top_p": {"type": ["double"], "default": 1, "allow_manual_entry": false, "is_multi_select":
-        false, "input_type": "default"}}, "description": "Use OpenAI GPT-4V to leverage
-        vision ability.", "module": "promptflow.tools.openai_gpt4v", "class_name":
-        "OpenAI", "function": "chat", "is_builtin": true, "package": "promptflow-tools",
-        "package_version": "0.0.216", "default_prompt": "# system:\nAs an AI assistant,
-        your task involves interpreting images and responding to questions about the
-        image.\nRemember to provide accurate answers based on the information present
-        in the image.\n\n# user:\nCan you tell me what the image depicts?\n![image]({{image_input}})\n",
-        "enable_kwargs": false, "tool_state": "stable"}, {"name": "Serp API", "type":
-        "python", "inputs": {"connection": {"type": ["SerpConnection"], "allow_manual_entry":
-        false, "is_multi_select": false, "input_type": "default"}, "engine": {"type":
-        ["string"], "default": "google", "enum": ["google", "bing"], "allow_manual_entry":
-        false, "is_multi_select": false, "input_type": "default"}, "location": {"type":
-        ["string"], "default": "", "allow_manual_entry": false, "is_multi_select":
-        false, "input_type": "default"}, "num": {"type": ["int"], "default": "10",
-        "allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
-        "query": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
-        false, "input_type": "default"}, "safe": {"type": ["string"], "default": "off",
-        "enum": ["active", "off"], "allow_manual_entry": false, "is_multi_select":
-        false, "input_type": "default"}}, "description": "Use Serp API to obtain search
-        results from a specific search engine.", "module": "promptflow.tools.serpapi",
-        "class_name": "SerpAPI", "function": "search", "is_builtin": true, "package":
-        "promptflow-tools", "package_version": "0.0.216", "enable_kwargs": false,
-        "tool_state": "stable"}, {"name": "Faiss Index Lookup", "type": "python",
-        "inputs": {"path": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
-        false, "input_type": "default"}, "top_k": {"type": ["int"], "default": "3",
-        "allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
-        "vector": {"type": ["list"], "allow_manual_entry": false, "is_multi_select":
-        false, "input_type": "default"}}, "description": "Search vector based query
-        from the FAISS index file.", "module": "promptflow_vectordb.tool.faiss_index_lookup",
+        "allow_manual_entry": false, "is_multi_select": false, "input_type": "default",
+        "ui_hints": {"index": 0}}, "frequency_penalty": {"type": ["double"], "default":
+        0, "allow_manual_entry": false, "is_multi_select": false, "input_type": "default",
+        "ui_hints": {"index": 7}}, "max_tokens": {"type": ["int"], "default": 512,
+        "allow_manual_entry": false, "is_multi_select": false, "input_type": "default",
+        "ui_hints": {"index": 4}}, "model": {"type": ["string"], "enum": ["gpt-4-vision-preview"],
+        "allow_manual_entry": true, "is_multi_select": false, "input_type": "default",
+        "ui_hints": {"index": 1}}, "presence_penalty": {"type": ["double"], "default":
+        0, "allow_manual_entry": false, "is_multi_select": false, "input_type": "default",
+        "ui_hints": {"index": 6}}, "stop": {"type": ["list"], "default": "", "allow_manual_entry":
+        false, "is_multi_select": false, "input_type": "default", "ui_hints": {"index":
+        5}}, "temperature": {"type": ["double"], "default": 1, "allow_manual_entry":
+        false, "is_multi_select": false, "input_type": "default", "ui_hints": {"index":
+        2}}, "top_p": {"type": ["double"], "default": 1, "allow_manual_entry": false,
+        "is_multi_select": false, "input_type": "default", "ui_hints": {"index": 3}}},
+        "description": "Use OpenAI GPT-4V to leverage vision ability.", "module":
+        "promptflow.tools.openai_gpt4v", "class_name": "OpenAI", "function": "chat",
+        "icon": {"dark": "data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAABAAAAAQCAYAAAAf8/9hAAAA2ElEQVR4nJXSzW3CQBAF4DUSTjk+Al1AD0ikESslpBIEheRALhEpgAYSWV8OGUublf/yLuP3PPNmdndS+gdwXZrYDmh7fGE/W+wXbaYd8IYm4rxJPnZ0boI3wZcdJxs/n+AwV7DFK7aFyfQdYIMLPvES8YJNf5yp4jMeeEYdWh38gXOR35YGHe5xabvQdsHv6PLi8qV6gycc8YH3iMfQu6Lh4ASr+F5Hh3XwVWnQYzUkVlX1nccplAb1SN6Y/sfgmlK64VS8wimldIv/0yj2QLkHizG0iWP4AVAfQ34DVQONAAAAAElFTkSuQmCC",
+        "light": "data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAABAAAAAQCAYAAAAf8/9hAAAAx0lEQVR4nJWSwQ2CQBBFX0jAcjgqXUgPJNiIsQQrIVCIFy8GC6ABDcGDX7Mus9n1Xz7zZ+fPsLPwH4bUg0dD2wMPcbR48Uxq4AKU4iSTDwZ1LhWXipN/B3V0J6hjBTvgLHZNonewBXrgDpzEvXSIjN0BE3AACmmF4kl5F6tNzcCoLpW0SvGovFvsb4oZ2AANcAOu4ka6axCcINN3rg654sww+CYsPD0OwjcozFNh/Qcd78tqVbCIW+n+Fky472Bh/Q6SYb1EEy8tDzd+9IsVPAAAAABJRU5ErkJggg=="},
+        "is_builtin": true, "package": "promptflow-tools", "package_version": "1.2.0rc1",
+        "default_prompt": "# system:\nAs an AI assistant, your task involves interpreting
+        images and responding to questions about the image.\nRemember to provide accurate
+        answers based on the information present in the image.\n\n# user:\nCan you
+        tell me what the image depicts?\n![image]({{image_input}})\n", "enable_kwargs":
+        false, "tool_state": "preview"}, {"name": "Serp API", "type": "python", "inputs":
+        {"connection": {"type": ["SerpConnection"], "allow_manual_entry": false, "is_multi_select":
+        false, "input_type": "default"}, "engine": {"type": ["string"], "default":
+        "google", "enum": ["google", "bing"], "allow_manual_entry": false, "is_multi_select":
+        false, "input_type": "default"}, "location": {"type": ["string"], "default":
+        "", "allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
+        "num": {"type": ["int"], "default": "10", "allow_manual_entry": false, "is_multi_select":
+        false, "input_type": "default"}, "query": {"type": ["string"], "allow_manual_entry":
+        false, "is_multi_select": false, "input_type": "default"}, "safe": {"type":
+        ["string"], "default": "off", "enum": ["active", "off"], "allow_manual_entry":
+        false, "is_multi_select": false, "input_type": "default"}}, "description":
+        "Use Serp API to obtain search results from a specific search engine.", "module":
+        "promptflow.tools.serpapi", "class_name": "SerpAPI", "function": "search",
+        "is_builtin": true, "package": "promptflow-tools", "package_version": "1.2.0rc1",
+        "enable_kwargs": false, "tool_state": "stable"}, {"name": "Index Lookup",
+        "type": "python", "inputs": {"acs_content_field": {"type": ["string"], "enabled_by":
+        "index_type", "enabled_by_value": ["Azure AI Search"], "dynamic_list": {"func_path":
+        "promptflow_vectordb.tool.common_index_lookup_utils.list_acs_index_fields",
+        "func_kwargs": [{"name": "acs_connection", "optional": false, "reference":
+        "${inputs.acs_index_connection}", "type": ["CognitiveSearchConnection"]},
+        {"name": "acs_index_name", "optional": false, "reference": "${inputs.acs_index_name}",
+        "type": ["string"]}, {"default": "Edm.String", "name": "field_data_type",
+        "optional": false, "type": ["string"]}]}, "allow_manual_entry": false, "is_multi_select":
+        false, "input_type": "uionly_hidden"}, "acs_embedding_field": {"type": ["string"],
+        "enabled_by": "index_type", "enabled_by_value": ["Azure AI Search"], "dynamic_list":
+        {"func_path": "promptflow_vectordb.tool.common_index_lookup_utils.list_acs_index_fields",
+        "func_kwargs": [{"name": "acs_connection", "optional": false, "reference":
+        "${inputs.acs_index_connection}", "type": ["CognitiveSearchConnection"]},
+        {"name": "acs_index_name", "optional": false, "reference": "${inputs.acs_index_name}",
+        "type": ["string"]}, {"default": "Collection(Edm.Single)", "name": "field_data_type",
+        "optional": false, "type": ["string"]}]}, "allow_manual_entry": false, "is_multi_select":
+        false, "input_type": "uionly_hidden"}, "acs_index_connection": {"type": ["CognitiveSearchConnection"],
+        "enabled_by": "index_type", "enabled_by_value": ["Azure AI Search"], "allow_manual_entry":
+        false, "is_multi_select": false, "input_type": "uionly_hidden"}, "acs_index_name":
+        {"type": ["string"], "enabled_by": "index_type", "enabled_by_value": ["Azure
+        AI Search"], "dynamic_list": {"func_path": "promptflow_vectordb.tool.common_index_lookup_utils.list_acs_indices",
+        "func_kwargs": [{"name": "acs_connection", "optional": false, "reference":
+        "${inputs.acs_index_connection}", "type": ["CognitiveSearchConnection"]}]},
+        "allow_manual_entry": false, "is_multi_select": false, "input_type": "uionly_hidden"},
+        "acs_metadata_field": {"type": ["string"], "enabled_by": "index_type", "enabled_by_value":
+        ["Azure AI Search"], "dynamic_list": {"func_path": "promptflow_vectordb.tool.common_index_lookup_utils.list_acs_index_fields",
+        "func_kwargs": [{"name": "acs_connection", "optional": false, "reference":
+        "${inputs.acs_index_connection}", "type": ["CognitiveSearchConnection"]},
+        {"name": "acs_index_name", "optional": false, "reference": "${inputs.acs_index_name}",
+        "type": ["string"]}, {"default": "Edm.String", "name": "field_data_type",
+        "optional": false, "type": ["string"]}]}, "allow_manual_entry": false, "is_multi_select":
+        false, "input_type": "uionly_hidden"}, "aoai_embedding_connection": {"type":
+        ["AzureOpenAIConnection"], "enabled_by": "embedding_type", "enabled_by_value":
+        ["Azure OpenAI"], "allow_manual_entry": false, "is_multi_select": false, "input_type":
+        "uionly_hidden"}, "embedding_deployment": {"type": ["string"], "enabled_by":
+        "embedding_type", "enabled_by_value": ["Azure OpenAI"], "dynamic_list": {"func_path":
+        "promptflow_vectordb.tool.common_index_lookup_utils.list_aoai_embedding_deployments",
+        "func_kwargs": [{"name": "aoai_connection", "optional": false, "reference":
+        "${inputs.aoai_embedding_connection}", "type": ["AzurOpenAIConnection"]}]},
+        "allow_manual_entry": false, "is_multi_select": false, "input_type": "uionly_hidden"},
+        "embedding_model": {"type": ["string"], "enabled_by": "embedding_type", "enabled_by_value":
+        ["OpenAI", "Hugging Face"], "dynamic_list": {"func_path": "promptflow_vectordb.tool.common_index_lookup_utils.list_embedding_models",
+        "func_kwargs": [{"name": "embedding_type", "optional": false, "reference":
+        "${inputs.embedding_type}", "type": ["string"]}]}, "allow_manual_entry": false,
+        "is_multi_select": false, "input_type": "uionly_hidden"}, "embedding_type":
+        {"type": ["string"], "enabled_by": "index_type", "enabled_by_value": ["Azure
+        AI Search", "FAISS", "Pinecone"], "dynamic_list": {"func_path": "promptflow_vectordb.tool.common_index_lookup_utils.list_available_embedding_types",
+        "func_kwargs": [{"name": "index_type", "optional": false, "reference": "${inputs.index_type}",
+        "type": ["string"]}]}, "allow_manual_entry": false, "is_multi_select": false,
+        "input_type": "uionly_hidden"}, "faiss_index_path": {"type": ["string"], "enabled_by":
+        "index_type", "enabled_by_value": ["FAISS"], "allow_manual_entry": false,
+        "is_multi_select": false, "input_type": "uionly_hidden"}, "index_type": {"type":
+        ["string"], "dynamic_list": {"func_path": "promptflow_vectordb.tool.common_index_lookup_utils.list_available_index_types"},
+        "allow_manual_entry": false, "is_multi_select": false, "input_type": "uionly_hidden"},
+        "mlindex_asset_id": {"type": ["string"], "enabled_by": "index_type", "enabled_by_value":
+        ["Registered Index"], "dynamic_list": {"func_path": "promptflow_vectordb.tool.common_index_lookup_utils.list_registered_mlindices"},
+        "allow_manual_entry": false, "is_multi_select": false, "input_type": "uionly_hidden"},
+        "mlindex_content": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
+        false, "generated_by": {"func_path": "promptflow_vectordb.tool.common_index_lookup_utils.forward_mapping",
+        "func_kwargs": [{"name": "index_type", "reference": "${inputs.index_type}",
+        "type": ["string"]}, {"name": "mlindex_asset_id", "optional": true, "reference":
+        "${inputs.mlindex_asset_id}", "type": ["string"]}, {"name": "mlindex_path",
+        "optional": true, "reference": "${inputs.mlindex_path}", "type": ["string"]},
+        {"name": "acs_index_connection", "optional": true, "reference": "${inputs.acs_index_connection}",
+        "type": ["CognitiveSearchConnection"]}, {"name": "acs_index_name", "optional":
+        true, "reference": "${inputs.acs_index_name}", "type": ["string"]}, {"name":
+        "acs_content_field", "optional": true, "reference": "${inputs.acs_content_field}",
+        "type": ["string"]}, {"name": "acs_embedding_field", "optional": true, "reference":
+        "${inputs.acs_embedding_field}", "type": ["string"]}, {"name": "acs_metadata_field",
+        "optional": true, "reference": "${inputs.acs_metadata_field}", "type": ["string"]},
+        {"name": "semantic_configuration", "optional": true, "reference": "${inputs.semantic_configuration}",
+        "type": ["string"]}, {"name": "faiss_index_path", "optional": true, "reference":
+        "${inputs.faiss_index_path}", "type": ["string"]}, {"name": "pinecone_index_connection",
+        "optional": true, "reference": "${inputs.pinecone_index_connection}", "type":
+        ["string"]}, {"name": "pinecone_index_name", "optional": true, "reference":
+        "${inputs.pinecone_index_name}", "type": ["string"]}, {"name": "pinecone_content_field",
+        "optional": true, "reference": "${inputs.pinecone_content_field}", "type":
+        ["string"]}, {"name": "pinecone_metadata_field", "optional": true, "reference":
+        "${inputs.pinecone_metadata_field}", "type": ["string"]}, {"name": "embedding_type",
+        "optional": true, "reference": "${inputs.embedding_type}", "type": ["string"]},
+        {"name": "aoai_embedding_connection", "optional": true, "reference": "${inputs.aoai_embedding_connection}",
+        "type": ["AzureOpenAIConnection"]}, {"name": "oai_embedding_connection", "optional":
+        true, "reference": "${inputs.oai_embedding_connection}", "type": ["string"]},
+        {"name": "embedding_model", "optional": true, "reference": "${inputs.embedding_model}",
+        "type": ["string"]}, {"name": "embedding_deployment", "optional": true, "reference":
+        "${inputs.embedding_deployment}", "type": ["string"]}], "reverse_func_path":
+        "promptflow_vectordb.tool.common_index_lookup_utils.reverse_mapping"}, "input_type":
+        "default"}, "mlindex_path": {"type": ["string"], "enabled_by": "index_type",
+        "enabled_by_value": ["MLIndex file from path"], "allow_manual_entry": false,
+        "is_multi_select": false, "input_type": "uionly_hidden"}, "oai_embedding_connection":
+        {"type": ["OpenAIConnection"], "enabled_by": "embedding_type", "enabled_by_value":
+        ["OpenAI"], "allow_manual_entry": false, "is_multi_select": false, "input_type":
+        "uionly_hidden"}, "pinecone_content_field": {"type": ["string"], "enabled_by":
+        "index_type", "enabled_by_value": ["Pinecone"], "allow_manual_entry": false,
+        "is_multi_select": false, "input_type": "uionly_hidden"}, "pinecone_index_connection":
+        {"type": ["PineconeConnection"], "enabled_by": "index_type", "enabled_by_value":
+        ["Pinecone"], "dynamic_list": {"func_path": "promptflow_vectordb.tool.common_index_lookup_utils.list_pinecone_connections"},
+        "allow_manual_entry": false, "is_multi_select": false, "input_type": "uionly_hidden"},
+        "pinecone_index_name": {"type": ["string"], "enabled_by": "index_type", "enabled_by_value":
+        ["Pinecone"], "dynamic_list": {"func_path": "promptflow_vectordb.tool.common_index_lookup_utils.list_pinecone_indices",
+        "func_kwargs": [{"name": "pinecone_connection_name", "optional": false, "reference":
+        "${inputs.pinecone_index_connection}", "type": ["string"]}]}, "allow_manual_entry":
+        false, "is_multi_select": false, "input_type": "uionly_hidden"}, "pinecone_metadata_field":
+        {"type": ["string"], "enabled_by": "index_type", "enabled_by_value": ["Pinecone"],
+        "allow_manual_entry": false, "is_multi_select": false, "input_type": "uionly_hidden"},
+        "queries": {"type": ["object"], "allow_manual_entry": false, "is_multi_select":
+        false, "input_type": "default"}, "query_type": {"type": ["string"], "dynamic_list":
+        {"func_path": "promptflow_vectordb.tool.common_index_lookup_utils.list_available_query_types",
+        "func_kwargs": [{"name": "mlindex_content", "optional": false, "reference":
+        "${inputs.mlindex_content}", "type": ["string"]}]}, "allow_manual_entry":
+        false, "is_multi_select": false, "input_type": "default"}, "semantic_configuration":
+        {"type": ["string"], "enabled_by": "index_type", "enabled_by_value": ["Azure
+        AI Search"], "dynamic_list": {"func_path": "promptflow_vectordb.tool.common_index_lookup_utils.list_acs_index_semantic_configurations",
+        "func_kwargs": [{"name": "acs_connection", "optional": false, "reference":
+        "${inputs.acs_index_connection}", "type": ["CognitiveSearchConnection"]},
+        {"name": "acs_index_name", "optional": false, "reference": "${inputs.acs_index_name}",
+        "type": ["string"]}]}, "allow_manual_entry": false, "is_multi_select": false,
+        "input_type": "uionly_hidden"}, "top_k": {"type": ["int"], "default": 3, "allow_manual_entry":
+        false, "is_multi_select": false, "input_type": "default"}}, "description":
+        "Search an AzureML Vector Index for relevant results using one or more text
+        queries.", "module": "promptflow_vectordb.tool.common_index_lookup", "function":
+        "search", "is_builtin": true, "package": "promptflow-vectordb", "package_version":
+        "0.0.1", "enable_kwargs": false, "tool_state": "preview"}, {"name": "Faiss
+        Index Lookup", "type": "python", "inputs": {"path": {"type": ["string"], "allow_manual_entry":
+        false, "is_multi_select": false, "input_type": "default"}, "top_k": {"type":
+        ["int"], "default": "3", "allow_manual_entry": false, "is_multi_select": false,
+        "input_type": "default"}, "vector": {"type": ["list"], "allow_manual_entry":
+        false, "is_multi_select": false, "input_type": "default"}}, "description":
+        "Search vector based query from the FAISS index file.", "module": "promptflow_vectordb.tool.faiss_index_lookup",
         "class_name": "FaissIndexLookup", "function": "search", "is_builtin": true,
         "package": "promptflow-vectordb", "package_version": "0.0.1", "enable_kwargs":
-        false, "tool_state": "stable"}, {"name": "Vector DB Lookup", "type": "python",
+        false, "tool_state": "deprecated"}, {"name": "Vector DB Lookup", "type": "python",
         "inputs": {"class_name": {"type": ["string"], "enabled_by": "connection",
         "enabled_by_type": ["WeaviateConnection"], "allow_manual_entry": false, "is_multi_select":
         false, "input_type": "default"}, "collection_name": {"type": ["string"], "enabled_by":
@@ -663,16 +818,16 @@ interactions:
         vector based query from existing Vector Database.", "module": "promptflow_vectordb.tool.vector_db_lookup",
         "class_name": "VectorDBLookup", "function": "search", "is_builtin": true,
         "package": "promptflow-vectordb", "package_version": "0.0.1", "enable_kwargs":
-        false, "tool_state": "stable"}, {"name": "Vector Index Lookup", "type": "python",
-        "inputs": {"path": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
-        false, "input_type": "default"}, "query": {"type": ["object"], "allow_manual_entry":
-        false, "is_multi_select": false, "input_type": "default"}, "top_k": {"type":
-        ["int"], "default": "3", "allow_manual_entry": false, "is_multi_select": false,
-        "input_type": "default"}}, "description": "Search text or vector based query
-        from AzureML Vector Index.", "module": "promptflow_vectordb.tool.vector_index_lookup",
+        false, "tool_state": "deprecated"}, {"name": "Vector Index Lookup", "type":
+        "python", "inputs": {"path": {"type": ["string"], "allow_manual_entry": false,
+        "is_multi_select": false, "input_type": "default"}, "query": {"type": ["object"],
+        "allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
+        "top_k": {"type": ["int"], "default": "3", "allow_manual_entry": false, "is_multi_select":
+        false, "input_type": "default"}}, "description": "Search text or vector based
+        query from AzureML Vector Index.", "module": "promptflow_vectordb.tool.vector_index_lookup",
         "class_name": "VectorIndexLookup", "function": "search", "is_builtin": true,
         "package": "promptflow-vectordb", "package_version": "0.0.1", "enable_kwargs":
-        false, "tool_state": "stable"}, {"name": "classify_with_llm.jinja2", "type":
+        false, "tool_state": "deprecated"}, {"name": "classify_with_llm.jinja2", "type":
         "prompt", "inputs": {"examples": {"type": ["string"], "allow_manual_entry":
         false, "is_multi_select": false, "input_type": "default"}, "text_content":
         {"type": ["string"], "allow_manual_entry": false, "is_multi_select": false,
@@ -703,20 +858,20 @@ interactions:
         "evaluation_only": false, "is_chat_output": false}}}, "flowRunResourceId":
         "azureml://locations/eastus/workspaces/00000/flows/name/flowRuns/name", "flowRunId":
         "name", "flowRunDisplayName": "name", "batchDataInput": {"dataUri": "azureml://datastores/workspaceblobstore/paths/LocalUpload/107bd3498e44deb2dccc53d2208d32b2/webClassification1.jsonl"},
-        "flowRunType": "FlowRun", "flowType": "Default", "runtimeName": "test-runtime-ci",
+        "flowRunType": "FlowRun", "flowType": "Default", "runtimeName": "hod-ci",
         "inputsMapping": {"url": "${data.url}"}, "outputDatastoreName": "workspaceblobstore",
         "childRunBasePath": "promptflow/PromptFlowArtifacts/name/flow_artifacts",
-        "flowDagFileRelativePath": "flow.dag.yaml", "flowSnapshotId": "f8f59233-47fa-48df-a9e1-fc6866b7597e",
+        "flowDagFileRelativePath": "flow.dag.yaml", "flowSnapshotId": "33e47f3a-be15-4250-bd03-15082ce96cb0",
         "studioPortalEndpoint": "https://ml.azure.com/runs/name?wsid=/subscriptions/00000000-0000-0000-0000-000000000000/resourcegroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000"}'
     headers:
       connection:
       - keep-alive
       content-length:
-      - '16239'
+      - '30261'
       content-type:
       - application/json; charset=utf-8
       strict-transport-security:
-      - max-age=15724800; includeSubDomains; preload
+      - max-age=31536000; includeSubDomains; preload
       transfer-encoding:
       - chunked
       vary:
@@ -724,7 +879,7 @@ interactions:
       x-content-type-options:
       - nosniff
       x-request-time:
-      - '0.210'
+      - '0.270'
     status:
       code: 200
       message: OK
@@ -735,7 +890,7 @@ interactions:
       Accept:
       - '*/*'
       Accept-Encoding:
-      - gzip, deflate
+      - gzip, deflate, br
       Connection:
       - keep-alive
       Content-Length:
@@ -748,37 +903,36 @@ interactions:
     uri: https://eastus.api.azureml.ms/history/v1.0/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/rundata
   response:
     body:
-      string: '{"runMetadata": {"runNumber": 1705048778, "rootRunId": "name", "createdUtc":
-        "2024-01-12T08:39:38.859607+00:00", "createdBy": {"userObjectId": "00000000-0000-0000-0000-000000000000",
-        "userPuId": null, "userIdp": "https://sts.windows.net/00000000-0000-0000-0000-000000000000/",
-        "userAltSecId": null, "userIss": "https://sts.windows.net/00000000-0000-0000-0000-000000000000/",
-        "userTenantId": "00000000-0000-0000-0000-000000000000", "userName": "4cbd0e2e-aae4-4099-b4ba-94d3a4910587",
-        "upn": null}, "userId": "00000000-0000-0000-0000-000000000000", "token": null,
-        "tokenExpiryTimeUtc": null, "error": null, "warnings": null, "revision": 3,
-        "statusRevision": 1, "runUuid": "ead544d1-f5d3-4eb1-b931-ab04cd0e1b39", "parentRunUuid":
-        null, "rootRunUuid": "ead544d1-f5d3-4eb1-b931-ab04cd0e1b39", "lastStartTimeUtc":
+      string: '{"runMetadata": {"runNumber": 1710319022, "rootRunId": "name", "createdUtc":
+        "2024-03-13T08:37:02.0408389+00:00", "createdBy": {"userObjectId": "00000000-0000-0000-0000-000000000000",
+        "userPuId": "10032000324F7449", "userIdp": null, "userAltSecId": null, "userIss":
+        "https://sts.windows.net/00000000-0000-0000-0000-000000000000/", "userTenantId":
+        "00000000-0000-0000-0000-000000000000", "userName": "Honglin Du", "upn": null},
+        "userId": "00000000-0000-0000-0000-000000000000", "token": null, "tokenExpiryTimeUtc":
+        null, "error": null, "warnings": null, "revision": 3, "statusRevision": 1,
+        "runUuid": "b8932d6b-0bbe-41be-994b-cf86bf1be136", "parentRunUuid": null,
+        "rootRunUuid": "b8932d6b-0bbe-41be-994b-cf86bf1be136", "lastStartTimeUtc":
         null, "currentComputeTime": "00:00:00", "computeDuration": null, "effectiveStartTimeUtc":
         null, "lastModifiedBy": {"userObjectId": "00000000-0000-0000-0000-000000000000",
-        "userPuId": null, "userIdp": "https://sts.windows.net/00000000-0000-0000-0000-000000000000/",
-        "userAltSecId": null, "userIss": "https://sts.windows.net/00000000-0000-0000-0000-000000000000/",
-        "userTenantId": "00000000-0000-0000-0000-000000000000", "userName": "4cbd0e2e-aae4-4099-b4ba-94d3a4910587",
-        "upn": null}, "lastModifiedUtc": "2024-01-12T08:39:43.2026482+00:00", "duration":
-        null, "cancelationReason": null, "currentAttemptId": 1, "runId": "name", "parentRunId":
+        "userPuId": "10032000324F7449", "userIdp": null, "userAltSecId": null, "userIss":
+        "https://sts.windows.net/00000000-0000-0000-0000-000000000000/", "userTenantId":
+        "00000000-0000-0000-0000-000000000000", "userName": "Honglin Du", "upn": null},
+        "lastModifiedUtc": "2024-03-13T08:37:09.8840657+00:00", "duration": null,
+        "cancelationReason": null, "currentAttemptId": 1, "runId": "name", "parentRunId":
         null, "experimentId": "d30efbeb-f81d-4cfa-b5cc-a0570a049009", "status": "Preparing",
         "startTimeUtc": null, "endTimeUtc": null, "scheduleId": null, "displayName":
         "name", "name": null, "dataContainerId": "dcid.name", "description": null,
         "hidden": false, "runType": "azureml.promptflow.FlowRun", "runTypeV2": {"orchestrator":
         null, "traits": [], "attribution": "PromptFlow", "computeType": "AmlcDsi"},
-        "properties": {"azureml.promptflow.runtime_name": "test-runtime-ci", "azureml.promptflow.runtime_version":
-        "20231204.v4", "azureml.promptflow.definition_file_name": "flow.dag.yaml",
-        "azureml.promptflow.session_id": "4dd8f4d5f44dfeb817d3438cf84bd739215d87afd9458597",
-        "azureml.promptflow.flow_lineage_id": "af1a6951de9be2ce13d3b58b23dbd8b6a0cd8fd4918ad9cb22b28fb8395fbcb0",
+        "properties": {"azureml.promptflow.runtime_name": "hod-ci", "azureml.promptflow.runtime_version":
+        "20240222.v3", "azureml.promptflow.definition_file_name": "flow.dag.yaml",
+        "azureml.promptflow.flow_lineage_id": "97280ab0e0bfee2b7b9a66a5e6391fa0f52550ecf78501ac8bd57d5e31eddfd6",
         "azureml.promptflow.node_variant": "${summarize_text_content.variant_0}",
         "azureml.promptflow.flow_definition_datastore_name": "workspaceblobstore",
         "azureml.promptflow.flow_definition_blob_path": "LocalUpload/a1fa6ef1ead7ff3ce76b36250f6f5461/web_classification/flow.dag.yaml",
         "azureml.promptflow.input_data": "azureml://datastores/workspaceblobstore/paths/LocalUpload/107bd3498e44deb2dccc53d2208d32b2/webClassification1.jsonl",
         "azureml.promptflow.inputs_mapping": "{\"url\":\"${data.url}\"}", "_azureml.evaluation_run":
-        "promptflow.BatchRun", "azureml.promptflow.snapshot_id": "f8f59233-47fa-48df-a9e1-fc6866b7597e"},
+        "promptflow.BatchRun", "azureml.promptflow.snapshot_id": "33e47f3a-be15-4250-bd03-15082ce96cb0"},
         "parameters": {}, "actionUris": {}, "scriptName": null, "target": null, "uniqueChildRunComputeTargets":
         [], "tags": {}, "settings": {}, "services": {}, "inputDatasets": [], "outputDatasets":
         [], "runDefinition": null, "jobSpecification": null, "primaryMetricName":
@@ -790,11 +944,11 @@ interactions:
       connection:
       - keep-alive
       content-length:
-      - '4010'
+      - '3769'
       content-type:
       - application/json; charset=utf-8
       strict-transport-security:
-      - max-age=15724800; includeSubDomains; preload
+      - max-age=31536000; includeSubDomains; preload
       transfer-encoding:
       - chunked
       vary:
@@ -802,7 +956,7 @@ interactions:
       x-content-type-options:
       - nosniff
       x-request-time:
-      - '0.037'
+      - '0.057'
     status:
       code: 200
       message: OK
diff --git a/src/promptflow/tests/test_configs/recordings/test_run_operations_TestFlowRun_test_run_bulk_from_yaml.yaml b/src/promptflow-recording/recordings/azure/test_run_operations_TestFlowRun_test_run_bulk_from_yaml.yaml
similarity index 100%
rename from src/promptflow/tests/test_configs/recordings/test_run_operations_TestFlowRun_test_run_bulk_from_yaml.yaml
rename to src/promptflow-recording/recordings/azure/test_run_operations_TestFlowRun_test_run_bulk_from_yaml.yaml
diff --git a/src/promptflow/tests/test_configs/recordings/test_run_operations_TestFlowRun_test_run_bulk_not_exist.yaml b/src/promptflow-recording/recordings/azure/test_run_operations_TestFlowRun_test_run_bulk_not_exist.yaml
similarity index 100%
rename from src/promptflow/tests/test_configs/recordings/test_run_operations_TestFlowRun_test_run_bulk_not_exist.yaml
rename to src/promptflow-recording/recordings/azure/test_run_operations_TestFlowRun_test_run_bulk_not_exist.yaml
diff --git a/src/promptflow/tests/test_configs/recordings/test_run_operations_TestFlowRun_test_run_bulk_with_registry_flow.yaml b/src/promptflow-recording/recordings/azure/test_run_operations_TestFlowRun_test_run_bulk_with_registry_flow.yaml
similarity index 100%
rename from src/promptflow/tests/test_configs/recordings/test_run_operations_TestFlowRun_test_run_bulk_with_registry_flow.yaml
rename to src/promptflow-recording/recordings/azure/test_run_operations_TestFlowRun_test_run_bulk_with_registry_flow.yaml
diff --git a/src/promptflow/tests/test_configs/recordings/test_run_operations_TestFlowRun_test_run_bulk_with_registry_flow_automatic_runtime.yaml b/src/promptflow-recording/recordings/azure/test_run_operations_TestFlowRun_test_run_bulk_with_registry_flow_automatic_runtime.yaml
similarity index 100%
rename from src/promptflow/tests/test_configs/recordings/test_run_operations_TestFlowRun_test_run_bulk_with_registry_flow_automatic_runtime.yaml
rename to src/promptflow-recording/recordings/azure/test_run_operations_TestFlowRun_test_run_bulk_with_registry_flow_automatic_runtime.yaml
diff --git a/src/promptflow/tests/test_configs/recordings/test_run_operations_TestFlowRun_test_run_bulk_with_remote_flow.yaml b/src/promptflow-recording/recordings/azure/test_run_operations_TestFlowRun_test_run_bulk_with_remote_flow.yaml
similarity index 100%
rename from src/promptflow/tests/test_configs/recordings/test_run_operations_TestFlowRun_test_run_bulk_with_remote_flow.yaml
rename to src/promptflow-recording/recordings/azure/test_run_operations_TestFlowRun_test_run_bulk_with_remote_flow.yaml
diff --git a/src/promptflow/tests/test_configs/recordings/test_run_operations_TestFlowRun_test_run_bulk_without_retry.yaml b/src/promptflow-recording/recordings/azure/test_run_operations_TestFlowRun_test_run_bulk_without_retry.yaml
similarity index 100%
rename from src/promptflow/tests/test_configs/recordings/test_run_operations_TestFlowRun_test_run_bulk_without_retry.yaml
rename to src/promptflow-recording/recordings/azure/test_run_operations_TestFlowRun_test_run_bulk_without_retry.yaml
diff --git a/src/promptflow/tests/test_configs/recordings/test_run_operations_TestFlowRun_test_run_data_not_provided.yaml b/src/promptflow-recording/recordings/azure/test_run_operations_TestFlowRun_test_run_data_not_provided.yaml
similarity index 100%
rename from src/promptflow/tests/test_configs/recordings/test_run_operations_TestFlowRun_test_run_data_not_provided.yaml
rename to src/promptflow-recording/recordings/azure/test_run_operations_TestFlowRun_test_run_data_not_provided.yaml
diff --git a/src/promptflow/tests/test_configs/recordings/test_run_operations_TestFlowRun_test_run_display_name_with_macro.yaml b/src/promptflow-recording/recordings/azure/test_run_operations_TestFlowRun_test_run_display_name_with_macro.yaml
similarity index 100%
rename from src/promptflow/tests/test_configs/recordings/test_run_operations_TestFlowRun_test_run_display_name_with_macro.yaml
rename to src/promptflow-recording/recordings/azure/test_run_operations_TestFlowRun_test_run_display_name_with_macro.yaml
diff --git a/src/promptflow-recording/recordings/azure/test_run_operations_TestFlowRun_test_run_resume.yaml b/src/promptflow-recording/recordings/azure/test_run_operations_TestFlowRun_test_run_resume.yaml
new file mode 100644
index 00000000000..cceba1c6d5b
--- /dev/null
+++ b/src/promptflow-recording/recordings/azure/test_run_operations_TestFlowRun_test_run_resume.yaml
@@ -0,0 +1,1709 @@
+interactions:
+- request:
+    body: null
+    headers:
+      Accept:
+      - application/json
+      Accept-Encoding:
+      - gzip, deflate
+      Connection:
+      - keep-alive
+      User-Agent:
+      - promptflow-sdk/0.0.1 azure-ai-ml/1.13.0 azsdk-python-mgmt-machinelearningservices/0.1.0
+        Python/3.9.7 (Windows-10-10.0.22631-SP0)
+    method: GET
+    uri: https://management.azure.com/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000
+  response:
+    body:
+      string: '{"id": "/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000",
+        "name": "00000", "type": "Microsoft.MachineLearningServices/workspaces", "location":
+        "eastus", "tags": {}, "etag": null, "kind": "Default", "sku": {"name": "Basic",
+        "tier": "Basic"}, "properties": {"discoveryUrl": "https://eastus.api.azureml.ms/discovery"}}'
+    headers:
+      cache-control:
+      - no-cache
+      content-length:
+      - '3678'
+      content-type:
+      - application/json; charset=utf-8
+      expires:
+      - '-1'
+      pragma:
+      - no-cache
+      strict-transport-security:
+      - max-age=31536000; includeSubDomains
+      vary:
+      - Accept-Encoding
+      x-cache:
+      - CONFIG_NOCACHE
+      x-content-type-options:
+      - nosniff
+      x-request-time:
+      - '0.023'
+    status:
+      code: 200
+      message: OK
+- request:
+    body: null
+    headers:
+      Accept:
+      - application/json
+      Accept-Encoding:
+      - gzip, deflate
+      Connection:
+      - keep-alive
+      User-Agent:
+      - promptflow-sdk/0.0.1 azsdk-python-azuremachinelearningdesignerserviceclient/unknown
+        Python/3.9.7 (Windows-10-10.0.22631-SP0)
+    method: GET
+    uri: https://eastus.api.azureml.ms/flow/api/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/BulkRuns/resume_from_run_using_automatic_runtime
+  response:
+    body:
+      string: '{"flowGraph": {"nodes": [{"name": "fetch_text_content_from_url", "type":
+        "python", "source": {"type": "code", "path": "fetch_text_content_from_url.py"},
+        "inputs": {"fetch_url": "${inputs.url}"}, "tool": "fetch_text_content_from_url.py",
+        "reduce": false}, {"name": "prepare_examples", "type": "python", "source":
+        {"type": "code", "path": "prepare_examples.py"}, "inputs": {}, "tool": "prepare_examples.py",
+        "reduce": false}, {"name": "classify_with_llm", "type": "llm", "source": {"type":
+        "code", "path": "classify_with_llm.jinja2"}, "inputs": {"deployment_name":
+        "gpt-35-turbo", "suffix": "", "max_tokens": "128", "temperature": "0.1", "top_p":
+        "1.0", "logprobs": "", "echo": "False", "stop": "", "presence_penalty": "0",
+        "frequency_penalty": "0", "best_of": "1", "logit_bias": "", "url": "${inputs.url}",
+        "examples": "${prepare_examples.output}", "text_content": "${summarize_text_content.output}"},
+        "tool": "classify_with_llm.jinja2", "reduce": false, "api": "chat", "provider":
+        "AzureOpenAI", "connection": "azure_open_ai_connection", "module": "promptflow.tools.aoai"},
+        {"name": "convert_to_dict", "type": "python", "source": {"type": "code", "path":
+        "convert_to_dict.py"}, "inputs": {"input_str": "${classify_with_llm.output}"},
+        "tool": "convert_to_dict.py", "reduce": false}, {"name": "summarize_text_content",
+        "type": "llm", "source": {"type": "code", "path": "summarize_text_content.jinja2"},
+        "inputs": {"deployment_name": "gpt-35-turbo", "suffix": "", "max_tokens":
+        "128", "temperature": "0.2", "top_p": "1.0", "logprobs": "", "echo": "False",
+        "stop": "", "presence_penalty": "0", "frequency_penalty": "0", "best_of":
+        "1", "logit_bias": "", "text": "${fetch_text_content_from_url.output}"}, "tool":
+        "summarize_text_content.jinja2", "reduce": false, "api": "chat", "provider":
+        "AzureOpenAI", "connection": "azure_open_ai_connection", "module": "promptflow.tools.aoai"}],
+        "tools": [{"name": "Azure OpenAI GPT-4 Turbo with Vision", "type": "custom_llm",
+        "inputs": {"connection": {"type": ["AzureOpenAIConnection"], "allow_manual_entry":
+        false, "is_multi_select": false, "input_type": "default", "ui_hints": {"index":
+        0}}, "deployment_name": {"type": ["string"], "enabled_by": "connection", "dynamic_list":
+        {"func_path": "promptflow.tools.aoai_gpt4v.list_deployment_names", "func_kwargs":
+        [{"name": "connection", "reference": "${inputs.connection}", "type": ["AzureOpenAIConnection"]}]},
+        "allow_manual_entry": true, "is_multi_select": false, "input_type": "default",
+        "ui_hints": {"index": 1}}, "frequency_penalty": {"type": ["double"], "default":
+        0, "allow_manual_entry": false, "is_multi_select": false, "input_type": "default",
+        "ui_hints": {"index": 7}}, "max_tokens": {"type": ["int"], "default": 512,
+        "allow_manual_entry": false, "is_multi_select": false, "input_type": "default",
+        "ui_hints": {"index": 4}}, "presence_penalty": {"type": ["double"], "default":
+        0, "allow_manual_entry": false, "is_multi_select": false, "input_type": "default",
+        "ui_hints": {"index": 6}}, "stop": {"type": ["list"], "default": "", "allow_manual_entry":
+        false, "is_multi_select": false, "input_type": "default", "ui_hints": {"index":
+        5}}, "temperature": {"type": ["double"], "default": 1, "allow_manual_entry":
+        false, "is_multi_select": false, "input_type": "default", "ui_hints": {"index":
+        2}}, "top_p": {"type": ["double"], "default": 1, "allow_manual_entry": false,
+        "is_multi_select": false, "input_type": "default", "ui_hints": {"index": 3}}},
+        "description": "Use Azure OpenAI GPT-4 Turbo with Vision to leverage AOAI
+        vision ability.", "module": "promptflow.tools.aoai_gpt4v", "class_name": "AzureOpenAI",
+        "function": "chat", "icon": {"dark": "data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAABAAAAAQCAYAAAAf8/9hAAAA2ElEQVR4nJXSzW3CQBAF4DUSTjk+Al1AD0ikESslpBIEheRALhEpgAYSWV8OGUublf/yLuP3PPNmdndS+gdwXZrYDmh7fGE/W+wXbaYd8IYm4rxJPnZ0boI3wZcdJxs/n+AwV7DFK7aFyfQdYIMLPvES8YJNf5yp4jMeeEYdWh38gXOR35YGHe5xabvQdsHv6PLi8qV6gycc8YH3iMfQu6Lh4ASr+F5Hh3XwVWnQYzUkVlX1nccplAb1SN6Y/sfgmlK64VS8wimldIv/0yj2QLkHizG0iWP4AVAfQ34DVQONAAAAAElFTkSuQmCC",
+        "light": "data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAABAAAAAQCAYAAAAf8/9hAAAAx0lEQVR4nJWSwQ2CQBBFX0jAcjgqXUgPJNiIsQQrIVCIFy8GC6ABDcGDX7Mus9n1Xz7zZ+fPsLPwH4bUg0dD2wMPcbR48Uxq4AKU4iSTDwZ1LhWXipN/B3V0J6hjBTvgLHZNonewBXrgDpzEvXSIjN0BE3AACmmF4kl5F6tNzcCoLpW0SvGovFvsb4oZ2AANcAOu4ka6axCcINN3rg654sww+CYsPD0OwjcozFNh/Qcd78tqVbCIW+n+Fky472Bh/Q6SYb1EEy8tDzd+9IsVPAAAAABJRU5ErkJggg=="},
+        "is_builtin": true, "package": "promptflow-tools", "package_version": "1.3.0rc1",
+        "default_prompt": "# system:\nAs an AI assistant, your task involves interpreting
+        images and responding to questions about the image.\nRemember to provide accurate
+        answers based on the information present in the image.\n\n# user:\nCan you
+        tell me what the image depicts?\n![image]({{image_input}})\n", "enable_kwargs":
+        false, "tool_state": "preview"}, {"name": "Content Safety (Text Analyze)",
+        "type": "python", "inputs": {"connection": {"type": ["AzureContentSafetyConnection"],
+        "allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
+        "hate_category": {"type": ["string"], "default": "medium_sensitivity", "enum":
+        ["disable", "low_sensitivity", "medium_sensitivity", "high_sensitivity"],
+        "allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
+        "self_harm_category": {"type": ["string"], "default": "medium_sensitivity",
+        "enum": ["disable", "low_sensitivity", "medium_sensitivity", "high_sensitivity"],
+        "allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
+        "sexual_category": {"type": ["string"], "default": "medium_sensitivity", "enum":
+        ["disable", "low_sensitivity", "medium_sensitivity", "high_sensitivity"],
+        "allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
+        "text": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
+        false, "input_type": "default"}, "violence_category": {"type": ["string"],
+        "default": "medium_sensitivity", "enum": ["disable", "low_sensitivity", "medium_sensitivity",
+        "high_sensitivity"], "allow_manual_entry": false, "is_multi_select": false,
+        "input_type": "default"}}, "description": "Use Azure Content Safety to detect
+        harmful content.", "module": "promptflow.tools.azure_content_safety", "function":
+        "analyze_text", "is_builtin": true, "package": "promptflow-tools", "package_version":
+        "1.3.0rc1", "enable_kwargs": false, "deprecated_tools": ["content_safety_text.tools.content_safety_text_tool.analyze_text"],
+        "tool_state": "stable"}, {"name": "Embedding", "type": "python", "inputs":
+        {"connection": {"type": ["AzureOpenAIConnection", "OpenAIConnection"], "allow_manual_entry":
+        false, "is_multi_select": false, "input_type": "default"}, "deployment_name":
+        {"type": ["string"], "enabled_by": "connection", "enabled_by_type": ["AzureOpenAIConnection"],
+        "model_list": ["text-embedding-ada-002", "text-search-ada-doc-001", "text-search-ada-query-001"],
+        "capabilities": {"completion": false, "chat_completion": false, "embeddings":
+        true}, "allow_manual_entry": false, "is_multi_select": false, "input_type":
+        "default"}, "input": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
+        false, "input_type": "default"}, "model": {"type": ["string"], "enum": ["text-embedding-ada-002",
+        "text-search-ada-doc-001", "text-search-ada-query-001"], "enabled_by": "connection",
+        "enabled_by_type": ["OpenAIConnection"], "allow_manual_entry": true, "is_multi_select":
+        false, "input_type": "default"}}, "description": "Use Open AI''s embedding
+        model to create an embedding vector representing the input text.", "module":
+        "promptflow.tools.embedding", "function": "embedding", "is_builtin": true,
+        "package": "promptflow-tools", "package_version": "1.3.0rc1", "enable_kwargs":
+        false, "tool_state": "stable"}, {"name": "Open Model LLM", "type": "custom_llm",
+        "inputs": {"api": {"type": ["string"], "enum": ["chat", "completion"], "allow_manual_entry":
+        false, "is_multi_select": false, "input_type": "default", "ui_hints": {"index":
+        2}}, "deployment_name": {"type": ["string"], "default": "", "dynamic_list":
+        {"func_path": "promptflow.tools.open_model_llm.list_deployment_names", "func_kwargs":
+        [{"name": "endpoint", "optional": true, "reference": "${inputs.endpoint}",
+        "type": ["string"]}]}, "allow_manual_entry": true, "is_multi_select": false,
+        "input_type": "default", "ui_hints": {"index": 1}}, "endpoint_name": {"type":
+        ["string"], "dynamic_list": {"func_path": "promptflow.tools.open_model_llm.list_endpoint_names"},
+        "allow_manual_entry": true, "is_multi_select": false, "input_type": "default",
+        "ui_hints": {"index": 0}}, "max_new_tokens": {"type": ["int"], "default":
+        500, "allow_manual_entry": false, "is_multi_select": false, "input_type":
+        "default", "ui_hints": {"index": 4}}, "model_kwargs": {"type": ["object"],
+        "default": "{}", "allow_manual_entry": false, "is_multi_select": false, "input_type":
+        "default", "advanced": true, "ui_hints": {"index": 6}}, "temperature": {"type":
+        ["double"], "default": 1.0, "allow_manual_entry": false, "is_multi_select":
+        false, "input_type": "default", "ui_hints": {"index": 3}}, "top_p": {"type":
+        ["double"], "default": 1.0, "allow_manual_entry": false, "is_multi_select":
+        false, "input_type": "default", "advanced": true, "ui_hints": {"index": 5}}},
+        "description": "Use an open model from the Azure Model catalog, deployed to
+        an AzureML Online Endpoint for LLM Chat or Completion API calls.", "module":
+        "promptflow.tools.open_model_llm", "class_name": "OpenModelLLM", "function":
+        "call", "icon": "data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAABAAAAAQCAYAAAAf8/9hAAACgElEQVR4nGWSz2vcVRTFP/e9NzOZ1KDGohASslLEH6VLV0ak4l/QpeDCrfQPcNGliODKnVm4EBdBsIjQIlhciKW0ycKFVCSNbYnjdDLtmPnmO/nO9917XcxMkjYX3uLx7nnn3HOuMK2Nix4fP78ZdrYXVkLVWjf3l3B1B+HpcjzGFtmqa6cePz7/x0dnn1n5qhj3iBJPYREIURAJuCtpY8PjReDbrf9WG7H1fuefwQU9qKztTcMJT+PNnEFvjGVDBDlSsH6p/9MLzy6+NxwVqI8RAg4IPmWedMckdLYP6O6UpIaQfvyyXG012+e79/ZfHukoS1ISMT2hGTB1RkUmNgQ5QZ0w+a2VWDq73MbdEWmfnnv6UWe7oNzPaLapl5CwuLTXK9WUGBuCjqekzhP+z52ZXOrKMD3OJg0Hh778aiOuvpnYvp05d6GJO4iAO4QAe/eV36/X5LFRV4Zmn+AdkqlL8Vjp3oVioOz+WTPzzYEgsN+fgPLYyJVheSbPPVl2ikeGZRjtG52/8rHuaV9VOlpP2OtKyVndcRVCSqOhsvxa4vW359i6OuKdD+aP8Q4SYPdOzS/flGjt1JUSaMqZ5nwa1Y8qWb/Ud/eZZkHisYezEM0m+fcelDr8F1SqW2LNK6r1jXQwyLzy1hxvrLXZulry7ocL+FS6G4QIu3fG/Px1gdYeW7LIgXU2P/115TOA5G7e3Rmj2aS/m7l5pThiZzrCcE/d1XHzbln373nw7y6veeoUm5KCNKT/IPPwbiY1hYd/l5MIT65BMFt87sU4v9D7/JMflr44uV6hGh1+L4RCkg6z5iK2tAhNLeLsNGwYA4fDYnC/drvuuFxe86NV/x+Ut27g0FvykgAAAABJRU5ErkJggg==",
+        "is_builtin": true, "package": "promptflow-tools", "package_version": "1.3.0rc1",
+        "enable_kwargs": false, "tool_state": "stable"}, {"name": "OpenAI GPT-4V",
+        "type": "custom_llm", "inputs": {"connection": {"type": ["OpenAIConnection"],
+        "allow_manual_entry": false, "is_multi_select": false, "input_type": "default",
+        "ui_hints": {"index": 0}}, "frequency_penalty": {"type": ["double"], "default":
+        0, "allow_manual_entry": false, "is_multi_select": false, "input_type": "default",
+        "ui_hints": {"index": 7}}, "max_tokens": {"type": ["int"], "default": 512,
+        "allow_manual_entry": false, "is_multi_select": false, "input_type": "default",
+        "ui_hints": {"index": 4}}, "model": {"type": ["string"], "enum": ["gpt-4-vision-preview"],
+        "allow_manual_entry": true, "is_multi_select": false, "input_type": "default",
+        "ui_hints": {"index": 1}}, "presence_penalty": {"type": ["double"], "default":
+        0, "allow_manual_entry": false, "is_multi_select": false, "input_type": "default",
+        "ui_hints": {"index": 6}}, "stop": {"type": ["list"], "default": "", "allow_manual_entry":
+        false, "is_multi_select": false, "input_type": "default", "ui_hints": {"index":
+        5}}, "temperature": {"type": ["double"], "default": 1, "allow_manual_entry":
+        false, "is_multi_select": false, "input_type": "default", "ui_hints": {"index":
+        2}}, "top_p": {"type": ["double"], "default": 1, "allow_manual_entry": false,
+        "is_multi_select": false, "input_type": "default", "ui_hints": {"index": 3}}},
+        "description": "Use OpenAI GPT-4V to leverage vision ability.", "module":
+        "promptflow.tools.openai_gpt4v", "class_name": "OpenAI", "function": "chat",
+        "icon": {"dark": "data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAABAAAAAQCAYAAAAf8/9hAAAA2ElEQVR4nJXSzW3CQBAF4DUSTjk+Al1AD0ikESslpBIEheRALhEpgAYSWV8OGUublf/yLuP3PPNmdndS+gdwXZrYDmh7fGE/W+wXbaYd8IYm4rxJPnZ0boI3wZcdJxs/n+AwV7DFK7aFyfQdYIMLPvES8YJNf5yp4jMeeEYdWh38gXOR35YGHe5xabvQdsHv6PLi8qV6gycc8YH3iMfQu6Lh4ASr+F5Hh3XwVWnQYzUkVlX1nccplAb1SN6Y/sfgmlK64VS8wimldIv/0yj2QLkHizG0iWP4AVAfQ34DVQONAAAAAElFTkSuQmCC",
+        "light": "data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAABAAAAAQCAYAAAAf8/9hAAAAx0lEQVR4nJWSwQ2CQBBFX0jAcjgqXUgPJNiIsQQrIVCIFy8GC6ABDcGDX7Mus9n1Xz7zZ+fPsLPwH4bUg0dD2wMPcbR48Uxq4AKU4iSTDwZ1LhWXipN/B3V0J6hjBTvgLHZNonewBXrgDpzEvXSIjN0BE3AACmmF4kl5F6tNzcCoLpW0SvGovFvsb4oZ2AANcAOu4ka6axCcINN3rg654sww+CYsPD0OwjcozFNh/Qcd78tqVbCIW+n+Fky472Bh/Q6SYb1EEy8tDzd+9IsVPAAAAABJRU5ErkJggg=="},
+        "is_builtin": true, "package": "promptflow-tools", "package_version": "1.3.0rc1",
+        "default_prompt": "# system:\nAs an AI assistant, your task involves interpreting
+        images and responding to questions about the image.\nRemember to provide accurate
+        answers based on the information present in the image.\n\n# user:\nCan you
+        tell me what the image depicts?\n![image]({{image_input}})\n", "enable_kwargs":
+        false, "tool_state": "preview"}, {"name": "Serp API", "type": "python", "inputs":
+        {"connection": {"type": ["SerpConnection"], "allow_manual_entry": false, "is_multi_select":
+        false, "input_type": "default"}, "engine": {"type": ["string"], "default":
+        "google", "enum": ["google", "bing"], "allow_manual_entry": false, "is_multi_select":
+        false, "input_type": "default"}, "location": {"type": ["string"], "default":
+        "", "allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
+        "num": {"type": ["int"], "default": "10", "allow_manual_entry": false, "is_multi_select":
+        false, "input_type": "default"}, "query": {"type": ["string"], "allow_manual_entry":
+        false, "is_multi_select": false, "input_type": "default"}, "safe": {"type":
+        ["string"], "default": "off", "enum": ["active", "off"], "allow_manual_entry":
+        false, "is_multi_select": false, "input_type": "default"}}, "description":
+        "Use Serp API to obtain search results from a specific search engine.", "module":
+        "promptflow.tools.serpapi", "class_name": "SerpAPI", "function": "search",
+        "is_builtin": true, "package": "promptflow-tools", "package_version": "1.3.0rc1",
+        "enable_kwargs": false, "tool_state": "stable"}, {"name": "Index Lookup",
+        "type": "python", "inputs": {"acs_content_field": {"type": ["string"], "enabled_by":
+        "index_type", "enabled_by_value": ["Azure AI Search"], "dynamic_list": {"func_path":
+        "promptflow_vectordb.tool.common_index_lookup_utils.list_acs_index_fields",
+        "func_kwargs": [{"name": "acs_connection", "optional": false, "reference":
+        "${inputs.acs_index_connection}", "type": ["CognitiveSearchConnection"]},
+        {"name": "acs_index_name", "optional": false, "reference": "${inputs.acs_index_name}",
+        "type": ["string"]}, {"default": "Edm.String", "name": "field_data_type",
+        "optional": false, "type": ["string"]}]}, "allow_manual_entry": false, "is_multi_select":
+        false, "input_type": "uionly_hidden"}, "acs_embedding_field": {"type": ["string"],
+        "enabled_by": "index_type", "enabled_by_value": ["Azure AI Search"], "dynamic_list":
+        {"func_path": "promptflow_vectordb.tool.common_index_lookup_utils.list_acs_index_fields",
+        "func_kwargs": [{"name": "acs_connection", "optional": false, "reference":
+        "${inputs.acs_index_connection}", "type": ["CognitiveSearchConnection"]},
+        {"name": "acs_index_name", "optional": false, "reference": "${inputs.acs_index_name}",
+        "type": ["string"]}, {"default": "Collection(Edm.Single)", "name": "field_data_type",
+        "optional": false, "type": ["string"]}]}, "allow_manual_entry": false, "is_multi_select":
+        false, "input_type": "uionly_hidden"}, "acs_index_connection": {"type": ["CognitiveSearchConnection"],
+        "enabled_by": "index_type", "enabled_by_value": ["Azure AI Search"], "allow_manual_entry":
+        false, "is_multi_select": false, "input_type": "uionly_hidden"}, "acs_index_name":
+        {"type": ["string"], "enabled_by": "index_type", "enabled_by_value": ["Azure
+        AI Search"], "dynamic_list": {"func_path": "promptflow_vectordb.tool.common_index_lookup_utils.list_acs_indices",
+        "func_kwargs": [{"name": "acs_connection", "optional": false, "reference":
+        "${inputs.acs_index_connection}", "type": ["CognitiveSearchConnection"]}]},
+        "allow_manual_entry": false, "is_multi_select": false, "input_type": "uionly_hidden"},
+        "acs_metadata_field": {"type": ["string"], "enabled_by": "index_type", "enabled_by_value":
+        ["Azure AI Search"], "dynamic_list": {"func_path": "promptflow_vectordb.tool.common_index_lookup_utils.list_acs_index_fields",
+        "func_kwargs": [{"name": "acs_connection", "optional": false, "reference":
+        "${inputs.acs_index_connection}", "type": ["CognitiveSearchConnection"]},
+        {"name": "acs_index_name", "optional": false, "reference": "${inputs.acs_index_name}",
+        "type": ["string"]}, {"default": "Edm.String", "name": "field_data_type",
+        "optional": false, "type": ["string"]}]}, "allow_manual_entry": false, "is_multi_select":
+        false, "input_type": "uionly_hidden"}, "aoai_embedding_connection": {"type":
+        ["AzureOpenAIConnection"], "enabled_by": "embedding_type", "enabled_by_value":
+        ["Azure OpenAI"], "allow_manual_entry": false, "is_multi_select": false, "input_type":
+        "uionly_hidden"}, "embedding_deployment": {"type": ["string"], "enabled_by":
+        "embedding_type", "enabled_by_value": ["Azure OpenAI"], "dynamic_list": {"func_path":
+        "promptflow_vectordb.tool.common_index_lookup_utils.list_aoai_embedding_deployments",
+        "func_kwargs": [{"name": "aoai_connection", "optional": false, "reference":
+        "${inputs.aoai_embedding_connection}", "type": ["AzurOpenAIConnection"]}]},
+        "allow_manual_entry": false, "is_multi_select": false, "input_type": "uionly_hidden"},
+        "embedding_model": {"type": ["string"], "enabled_by": "embedding_type", "enabled_by_value":
+        ["OpenAI", "Hugging Face"], "dynamic_list": {"func_path": "promptflow_vectordb.tool.common_index_lookup_utils.list_embedding_models",
+        "func_kwargs": [{"name": "embedding_type", "optional": false, "reference":
+        "${inputs.embedding_type}", "type": ["string"]}]}, "allow_manual_entry": false,
+        "is_multi_select": false, "input_type": "uionly_hidden"}, "embedding_type":
+        {"type": ["string"], "enabled_by": "index_type", "enabled_by_value": ["Azure
+        AI Search", "FAISS", "Pinecone"], "dynamic_list": {"func_path": "promptflow_vectordb.tool.common_index_lookup_utils.list_available_embedding_types",
+        "func_kwargs": [{"name": "index_type", "optional": false, "reference": "${inputs.index_type}",
+        "type": ["string"]}]}, "allow_manual_entry": false, "is_multi_select": false,
+        "input_type": "uionly_hidden"}, "faiss_index_path": {"type": ["string"], "enabled_by":
+        "index_type", "enabled_by_value": ["FAISS"], "allow_manual_entry": false,
+        "is_multi_select": false, "input_type": "uionly_hidden"}, "index_type": {"type":
+        ["string"], "dynamic_list": {"func_path": "promptflow_vectordb.tool.common_index_lookup_utils.list_available_index_types"},
+        "allow_manual_entry": false, "is_multi_select": false, "input_type": "uionly_hidden"},
+        "mlindex_asset_id": {"type": ["string"], "enabled_by": "index_type", "enabled_by_value":
+        ["Registered Index"], "dynamic_list": {"func_path": "promptflow_vectordb.tool.common_index_lookup_utils.list_registered_mlindices"},
+        "allow_manual_entry": false, "is_multi_select": false, "input_type": "uionly_hidden"},
+        "mlindex_content": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
+        false, "generated_by": {"func_path": "promptflow_vectordb.tool.common_index_lookup_utils.forward_mapping",
+        "func_kwargs": [{"name": "index_type", "reference": "${inputs.index_type}",
+        "type": ["string"]}, {"name": "mlindex_asset_id", "optional": true, "reference":
+        "${inputs.mlindex_asset_id}", "type": ["string"]}, {"name": "mlindex_path",
+        "optional": true, "reference": "${inputs.mlindex_path}", "type": ["string"]},
+        {"name": "acs_index_connection", "optional": true, "reference": "${inputs.acs_index_connection}",
+        "type": ["CognitiveSearchConnection"]}, {"name": "acs_index_name", "optional":
+        true, "reference": "${inputs.acs_index_name}", "type": ["string"]}, {"name":
+        "acs_content_field", "optional": true, "reference": "${inputs.acs_content_field}",
+        "type": ["string"]}, {"name": "acs_embedding_field", "optional": true, "reference":
+        "${inputs.acs_embedding_field}", "type": ["string"]}, {"name": "acs_metadata_field",
+        "optional": true, "reference": "${inputs.acs_metadata_field}", "type": ["string"]},
+        {"name": "semantic_configuration", "optional": true, "reference": "${inputs.semantic_configuration}",
+        "type": ["string"]}, {"name": "faiss_index_path", "optional": true, "reference":
+        "${inputs.faiss_index_path}", "type": ["string"]}, {"name": "pinecone_index_connection",
+        "optional": true, "reference": "${inputs.pinecone_index_connection}", "type":
+        ["string"]}, {"name": "pinecone_index_name", "optional": true, "reference":
+        "${inputs.pinecone_index_name}", "type": ["string"]}, {"name": "pinecone_content_field",
+        "optional": true, "reference": "${inputs.pinecone_content_field}", "type":
+        ["string"]}, {"name": "pinecone_metadata_field", "optional": true, "reference":
+        "${inputs.pinecone_metadata_field}", "type": ["string"]}, {"name": "embedding_type",
+        "optional": true, "reference": "${inputs.embedding_type}", "type": ["string"]},
+        {"name": "aoai_embedding_connection", "optional": true, "reference": "${inputs.aoai_embedding_connection}",
+        "type": ["AzureOpenAIConnection"]}, {"name": "oai_embedding_connection", "optional":
+        true, "reference": "${inputs.oai_embedding_connection}", "type": ["string"]},
+        {"name": "embedding_model", "optional": true, "reference": "${inputs.embedding_model}",
+        "type": ["string"]}, {"name": "embedding_deployment", "optional": true, "reference":
+        "${inputs.embedding_deployment}", "type": ["string"]}], "reverse_func_path":
+        "promptflow_vectordb.tool.common_index_lookup_utils.reverse_mapping"}, "input_type":
+        "default"}, "mlindex_path": {"type": ["string"], "enabled_by": "index_type",
+        "enabled_by_value": ["MLIndex file from path"], "allow_manual_entry": false,
+        "is_multi_select": false, "input_type": "uionly_hidden"}, "oai_embedding_connection":
+        {"type": ["OpenAIConnection"], "enabled_by": "embedding_type", "enabled_by_value":
+        ["OpenAI"], "allow_manual_entry": false, "is_multi_select": false, "input_type":
+        "uionly_hidden"}, "pinecone_content_field": {"type": ["string"], "enabled_by":
+        "index_type", "enabled_by_value": ["Pinecone"], "allow_manual_entry": false,
+        "is_multi_select": false, "input_type": "uionly_hidden"}, "pinecone_index_connection":
+        {"type": ["PineconeConnection"], "enabled_by": "index_type", "enabled_by_value":
+        ["Pinecone"], "dynamic_list": {"func_path": "promptflow_vectordb.tool.common_index_lookup_utils.list_pinecone_connections"},
+        "allow_manual_entry": false, "is_multi_select": false, "input_type": "uionly_hidden"},
+        "pinecone_index_name": {"type": ["string"], "enabled_by": "index_type", "enabled_by_value":
+        ["Pinecone"], "dynamic_list": {"func_path": "promptflow_vectordb.tool.common_index_lookup_utils.list_pinecone_indices",
+        "func_kwargs": [{"name": "pinecone_connection_name", "optional": false, "reference":
+        "${inputs.pinecone_index_connection}", "type": ["string"]}]}, "allow_manual_entry":
+        false, "is_multi_select": false, "input_type": "uionly_hidden"}, "pinecone_metadata_field":
+        {"type": ["string"], "enabled_by": "index_type", "enabled_by_value": ["Pinecone"],
+        "allow_manual_entry": false, "is_multi_select": false, "input_type": "uionly_hidden"},
+        "queries": {"type": ["object"], "allow_manual_entry": false, "is_multi_select":
+        false, "input_type": "default"}, "query_type": {"type": ["string"], "dynamic_list":
+        {"func_path": "promptflow_vectordb.tool.common_index_lookup_utils.list_available_query_types",
+        "func_kwargs": [{"name": "mlindex_content", "optional": false, "reference":
+        "${inputs.mlindex_content}", "type": ["string"]}]}, "allow_manual_entry":
+        false, "is_multi_select": false, "input_type": "default"}, "semantic_configuration":
+        {"type": ["string"], "enabled_by": "index_type", "enabled_by_value": ["Azure
+        AI Search"], "dynamic_list": {"func_path": "promptflow_vectordb.tool.common_index_lookup_utils.list_acs_index_semantic_configurations",
+        "func_kwargs": [{"name": "acs_connection", "optional": false, "reference":
+        "${inputs.acs_index_connection}", "type": ["CognitiveSearchConnection"]},
+        {"name": "acs_index_name", "optional": false, "reference": "${inputs.acs_index_name}",
+        "type": ["string"]}]}, "allow_manual_entry": false, "is_multi_select": false,
+        "input_type": "uionly_hidden"}, "top_k": {"type": ["int"], "default": 3, "allow_manual_entry":
+        false, "is_multi_select": false, "input_type": "default"}}, "description":
+        "Search an AzureML Vector Index for relevant results using one or more text
+        queries.", "module": "promptflow_vectordb.tool.common_index_lookup", "function":
+        "search", "is_builtin": true, "package": "promptflow_vectordb", "package_version":
+        "0.2.4", "enable_kwargs": false, "tool_state": "preview"}, {"name": "Faiss
+        Index Lookup", "type": "python", "inputs": {"path": {"type": ["string"], "allow_manual_entry":
+        false, "is_multi_select": false, "input_type": "default"}, "top_k": {"type":
+        ["int"], "default": "3", "allow_manual_entry": false, "is_multi_select": false,
+        "input_type": "default"}, "vector": {"type": ["list"], "allow_manual_entry":
+        false, "is_multi_select": false, "input_type": "default"}}, "description":
+        "Search vector based query from the FAISS index file.", "module": "promptflow_vectordb.tool.faiss_index_lookup",
+        "class_name": "FaissIndexLookup", "function": "search", "is_builtin": true,
+        "package": "promptflow_vectordb", "package_version": "0.2.4", "enable_kwargs":
+        false, "tool_state": "deprecated"}, {"name": "Vector DB Lookup", "type": "python",
+        "inputs": {"class_name": {"type": ["string"], "enabled_by": "connection",
+        "enabled_by_type": ["WeaviateConnection"], "allow_manual_entry": false, "is_multi_select":
+        false, "input_type": "default"}, "collection_name": {"type": ["string"], "enabled_by":
+        "connection", "enabled_by_type": ["QdrantConnection"], "allow_manual_entry":
+        false, "is_multi_select": false, "input_type": "default"}, "connection": {"type":
+        ["CognitiveSearchConnection", "QdrantConnection", "WeaviateConnection"], "allow_manual_entry":
+        false, "is_multi_select": false, "input_type": "default"}, "index_name": {"type":
+        ["string"], "enabled_by": "connection", "enabled_by_type": ["CognitiveSearchConnection"],
+        "allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
+        "search_filters": {"type": ["object"], "enabled_by": "connection", "enabled_by_type":
+        ["CognitiveSearchConnection", "QdrantConnection"], "allow_manual_entry": false,
+        "is_multi_select": false, "input_type": "default"}, "search_params": {"type":
+        ["object"], "enabled_by": "connection", "enabled_by_type": ["CognitiveSearchConnection",
+        "QdrantConnection"], "allow_manual_entry": false, "is_multi_select": false,
+        "input_type": "default"}, "text_field": {"type": ["string"], "enabled_by":
+        "connection", "enabled_by_type": ["CognitiveSearchConnection", "QdrantConnection",
+        "WeaviateConnection"], "allow_manual_entry": false, "is_multi_select": false,
+        "input_type": "default"}, "top_k": {"type": ["int"], "default": "3", "allow_manual_entry":
+        false, "is_multi_select": false, "input_type": "default"}, "vector": {"type":
+        ["list"], "allow_manual_entry": false, "is_multi_select": false, "input_type":
+        "default"}, "vector_field": {"type": ["string"], "enabled_by": "connection",
+        "enabled_by_type": ["CognitiveSearchConnection"], "allow_manual_entry": false,
+        "is_multi_select": false, "input_type": "default"}}, "description": "Search
+        vector based query from existing Vector Database.", "module": "promptflow_vectordb.tool.vector_db_lookup",
+        "class_name": "VectorDBLookup", "function": "search", "is_builtin": true,
+        "package": "promptflow_vectordb", "package_version": "0.2.4", "enable_kwargs":
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+        "python", "inputs": {"path": {"type": ["string"], "allow_manual_entry": false,
+        "is_multi_select": false, "input_type": "default"}, "query": {"type": ["object"],
+        "allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
+        "top_k": {"type": ["int"], "default": "3", "allow_manual_entry": false, "is_multi_select":
+        false, "input_type": "default"}}, "description": "Search text or vector based
+        query from AzureML Vector Index.", "module": "promptflow_vectordb.tool.vector_index_lookup",
+        "class_name": "VectorIndexLookup", "function": "search", "is_builtin": true,
+        "package": "promptflow_vectordb", "package_version": "0.2.4", "enable_kwargs":
+        false, "tool_state": "deprecated"}, {"name": "classify_with_llm.jinja2", "type":
+        "prompt", "inputs": {"examples": {"type": ["string"], "allow_manual_entry":
+        false, "is_multi_select": false, "input_type": "default"}, "text_content":
+        {"type": ["string"], "allow_manual_entry": false, "is_multi_select": false,
+        "input_type": "default"}, "url": {"type": ["string"], "allow_manual_entry":
+        false, "is_multi_select": false, "input_type": "default"}}, "source": "classify_with_llm.jinja2",
+        "is_builtin": false, "enable_kwargs": false, "tool_state": "stable"}, {"name":
+        "convert_to_dict.py", "type": "python", "inputs": {"input_str": {"type": ["string"],
+        "allow_manual_entry": false, "is_multi_select": false, "input_type": "default"}},
+        "source": "convert_to_dict.py", "function": "convert_to_dict", "is_builtin":
+        false, "enable_kwargs": false, "tool_state": "stable"}, {"name": "fetch_text_content_from_url.py",
+        "type": "python", "inputs": {"fetch_url": {"type": ["string"], "allow_manual_entry":
+        false, "is_multi_select": false, "input_type": "default"}}, "source": "fetch_text_content_from_url.py",
+        "function": "fetch_text_content_from_url", "is_builtin": false, "enable_kwargs":
+        false, "tool_state": "stable"}, {"name": "prepare_examples.py", "type": "python",
+        "source": "prepare_examples.py", "function": "prepare_examples", "is_builtin":
+        false, "enable_kwargs": false, "tool_state": "stable"}, {"name": "summarize_text_content.jinja2",
+        "type": "prompt", "inputs": {"text": {"type": ["string"], "allow_manual_entry":
+        false, "is_multi_select": false, "input_type": "default"}}, "source": "summarize_text_content.jinja2",
+        "is_builtin": false, "enable_kwargs": false, "tool_state": "stable"}, {"name":
+        "summarize_text_content__variant_1.jinja2", "type": "prompt", "inputs": {"text":
+        {"type": ["string"], "allow_manual_entry": false, "is_multi_select": false,
+        "input_type": "default"}}, "source": "summarize_text_content__variant_1.jinja2",
+        "is_builtin": false, "enable_kwargs": false, "tool_state": "stable"}], "inputs":
+        {"url": {"type": "string", "default": "https://www.microsoft.com/en-us/d/xbox-wireless-controller-stellar-shift-special-edition/94fbjc7h0h6h",
+        "is_chat_input": false}}, "outputs": {"category": {"type": "string", "reference":
+        "${convert_to_dict.output.category}", "evaluation_only": false, "is_chat_output":
+        false}, "evidence": {"type": "string", "reference": "${convert_to_dict.output.evidence}",
+        "evaluation_only": false, "is_chat_output": false}}}, "flowRunResourceId":
+        "azureml://locations/eastus/workspaces/00000/flows/resume_from_run_using_automatic_runtime/flowRuns/resume_from_run_using_automatic_runtime",
+        "flowRunId": "resume_from_run_using_automatic_runtime", "flowRunDisplayName":
+        "resume_from_run_using_automatic_runtime", "batchDataInput": {"dataUri": "azureml://datastores/workspaceblobstore/paths/LocalUpload/107bd3498e44deb2dccc53d2208d32b2/webClassification1.jsonl"},
+        "flowRunType": "FlowRun", "flowType": "Default", "runtimeName": "automatic",
+        "inputsMapping": {"url": "${data.url}"}, "outputDatastoreName": "workspaceblobstore",
+        "childRunBasePath": "promptflow/PromptFlowArtifacts/resume_from_run_using_automatic_runtime/flow_artifacts",
+        "flowDagFileRelativePath": "flow.dag.yaml", "flowSnapshotId": "49bba768-6848-48a7-bb40-fb7a9f4e0aec",
+        "sessionId": "efc1ebeee00db455c850ec7afec33a45b7106c97c7d48684", "studioPortalEndpoint":
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+    headers:
+      connection:
+      - keep-alive
+      content-length:
+      - '30345'
+      content-type:
+      - application/json; charset=utf-8
+      strict-transport-security:
+      - max-age=31536000; includeSubDomains; preload
+      transfer-encoding:
+      - chunked
+      vary:
+      - Accept-Encoding
+      x-content-type-options:
+      - nosniff
+      x-request-time:
+      - '0.297'
+    status:
+      code: 200
+      message: OK
+- request:
+    body: '{"runId": "name", "resumeFromRunId": "resume_from_run_using_automatic_runtime"}'
+    headers:
+      Accept:
+      - application/json
+      Accept-Encoding:
+      - gzip, deflate
+      Connection:
+      - keep-alive
+      Content-Length:
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+      Content-Type:
+      - application/json
+      User-Agent:
+      - promptflow-sdk/0.0.1 azsdk-python-azuremachinelearningdesignerserviceclient/unknown
+        Python/3.9.7 (Windows-10-10.0.22631-SP0)
+    method: POST
+    uri: https://eastus.api.azureml.ms/flow/api/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/BulkRuns/resume
+  response:
+    body:
+      string: '"name"'
+    headers:
+      connection:
+      - keep-alive
+      content-length:
+      - '38'
+      content-type:
+      - application/json; charset=utf-8
+      strict-transport-security:
+      - max-age=31536000; includeSubDomains; preload
+      x-content-type-options:
+      - nosniff
+      x-request-time:
+      - '5.729'
+    status:
+      code: 200
+      message: OK
+- request:
+    body: null
+    headers:
+      Accept:
+      - application/json
+      Accept-Encoding:
+      - gzip, deflate
+      Connection:
+      - keep-alive
+      User-Agent:
+      - promptflow-sdk/0.0.1 azsdk-python-azuremachinelearningdesignerserviceclient/unknown
+        Python/3.9.7 (Windows-10-10.0.22631-SP0)
+    method: GET
+    uri: https://eastus.api.azureml.ms/flow/api/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/BulkRuns/name
+  response:
+    body:
+      string: '{"flowGraph": {"nodes": [{"name": "fetch_text_content_from_url", "type":
+        "python", "source": {"type": "code", "path": "fetch_text_content_from_url.py"},
+        "inputs": {"fetch_url": "${inputs.url}"}, "tool": "fetch_text_content_from_url.py",
+        "reduce": false}, {"name": "prepare_examples", "type": "python", "source":
+        {"type": "code", "path": "prepare_examples.py"}, "inputs": {}, "tool": "prepare_examples.py",
+        "reduce": false}, {"name": "classify_with_llm", "type": "llm", "source": {"type":
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+        "frequency_penalty": "0", "best_of": "1", "logit_bias": "", "url": "${inputs.url}",
+        "examples": "${prepare_examples.output}", "text_content": "${summarize_text_content.output}"},
+        "tool": "classify_with_llm.jinja2", "reduce": false, "api": "chat", "provider":
+        "AzureOpenAI", "connection": "azure_open_ai_connection", "module": "promptflow.tools.aoai"},
+        {"name": "convert_to_dict", "type": "python", "source": {"type": "code", "path":
+        "convert_to_dict.py"}, "inputs": {"input_str": "${classify_with_llm.output}"},
+        "tool": "convert_to_dict.py", "reduce": false}, {"name": "summarize_text_content",
+        "type": "llm", "source": {"type": "code", "path": "summarize_text_content.jinja2"},
+        "inputs": {"deployment_name": "gpt-35-turbo", "suffix": "", "max_tokens":
+        "128", "temperature": "0.2", "top_p": "1.0", "logprobs": "", "echo": "False",
+        "stop": "", "presence_penalty": "0", "frequency_penalty": "0", "best_of":
+        "1", "logit_bias": "", "text": "${fetch_text_content_from_url.output}"}, "tool":
+        "summarize_text_content.jinja2", "reduce": false, "api": "chat", "provider":
+        "AzureOpenAI", "connection": "azure_open_ai_connection", "module": "promptflow.tools.aoai"}],
+        "tools": [{"name": "Azure OpenAI GPT-4 Turbo with Vision", "type": "custom_llm",
+        "inputs": {"connection": {"type": ["AzureOpenAIConnection"], "allow_manual_entry":
+        false, "is_multi_select": false, "input_type": "default", "ui_hints": {"index":
+        0}}, "deployment_name": {"type": ["string"], "enabled_by": "connection", "dynamic_list":
+        {"func_path": "promptflow.tools.aoai_gpt4v.list_deployment_names", "func_kwargs":
+        [{"name": "connection", "reference": "${inputs.connection}", "type": ["AzureOpenAIConnection"]}]},
+        "allow_manual_entry": true, "is_multi_select": false, "input_type": "default",
+        "ui_hints": {"index": 1}}, "frequency_penalty": {"type": ["double"], "default":
+        0, "allow_manual_entry": false, "is_multi_select": false, "input_type": "default",
+        "ui_hints": {"index": 7}}, "max_tokens": {"type": ["int"], "default": 512,
+        "allow_manual_entry": false, "is_multi_select": false, "input_type": "default",
+        "ui_hints": {"index": 4}}, "presence_penalty": {"type": ["double"], "default":
+        0, "allow_manual_entry": false, "is_multi_select": false, "input_type": "default",
+        "ui_hints": {"index": 6}}, "stop": {"type": ["list"], "default": "", "allow_manual_entry":
+        false, "is_multi_select": false, "input_type": "default", "ui_hints": {"index":
+        5}}, "temperature": {"type": ["double"], "default": 1, "allow_manual_entry":
+        false, "is_multi_select": false, "input_type": "default", "ui_hints": {"index":
+        2}}, "top_p": {"type": ["double"], "default": 1, "allow_manual_entry": false,
+        "is_multi_select": false, "input_type": "default", "ui_hints": {"index": 3}}},
+        "description": "Use Azure OpenAI GPT-4 Turbo with Vision to leverage AOAI
+        vision ability.", "module": "promptflow.tools.aoai_gpt4v", "class_name": "AzureOpenAI",
+        "function": "chat", "icon": {"dark": "data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAABAAAAAQCAYAAAAf8/9hAAAA2ElEQVR4nJXSzW3CQBAF4DUSTjk+Al1AD0ikESslpBIEheRALhEpgAYSWV8OGUublf/yLuP3PPNmdndS+gdwXZrYDmh7fGE/W+wXbaYd8IYm4rxJPnZ0boI3wZcdJxs/n+AwV7DFK7aFyfQdYIMLPvES8YJNf5yp4jMeeEYdWh38gXOR35YGHe5xabvQdsHv6PLi8qV6gycc8YH3iMfQu6Lh4ASr+F5Hh3XwVWnQYzUkVlX1nccplAb1SN6Y/sfgmlK64VS8wimldIv/0yj2QLkHizG0iWP4AVAfQ34DVQONAAAAAElFTkSuQmCC",
+        "light": "data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAABAAAAAQCAYAAAAf8/9hAAAAx0lEQVR4nJWSwQ2CQBBFX0jAcjgqXUgPJNiIsQQrIVCIFy8GC6ABDcGDX7Mus9n1Xz7zZ+fPsLPwH4bUg0dD2wMPcbR48Uxq4AKU4iSTDwZ1LhWXipN/B3V0J6hjBTvgLHZNonewBXrgDpzEvXSIjN0BE3AACmmF4kl5F6tNzcCoLpW0SvGovFvsb4oZ2AANcAOu4ka6axCcINN3rg654sww+CYsPD0OwjcozFNh/Qcd78tqVbCIW+n+Fky472Bh/Q6SYb1EEy8tDzd+9IsVPAAAAABJRU5ErkJggg=="},
+        "is_builtin": true, "package": "promptflow-tools", "package_version": "1.3.0rc1",
+        "default_prompt": "# system:\nAs an AI assistant, your task involves interpreting
+        images and responding to questions about the image.\nRemember to provide accurate
+        answers based on the information present in the image.\n\n# user:\nCan you
+        tell me what the image depicts?\n![image]({{image_input}})\n", "enable_kwargs":
+        false, "tool_state": "preview"}, {"name": "Content Safety (Text Analyze)",
+        "type": "python", "inputs": {"connection": {"type": ["AzureContentSafetyConnection"],
+        "allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
+        "hate_category": {"type": ["string"], "default": "medium_sensitivity", "enum":
+        ["disable", "low_sensitivity", "medium_sensitivity", "high_sensitivity"],
+        "allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
+        "self_harm_category": {"type": ["string"], "default": "medium_sensitivity",
+        "enum": ["disable", "low_sensitivity", "medium_sensitivity", "high_sensitivity"],
+        "allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
+        "sexual_category": {"type": ["string"], "default": "medium_sensitivity", "enum":
+        ["disable", "low_sensitivity", "medium_sensitivity", "high_sensitivity"],
+        "allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
+        "text": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
+        false, "input_type": "default"}, "violence_category": {"type": ["string"],
+        "default": "medium_sensitivity", "enum": ["disable", "low_sensitivity", "medium_sensitivity",
+        "high_sensitivity"], "allow_manual_entry": false, "is_multi_select": false,
+        "input_type": "default"}}, "description": "Use Azure Content Safety to detect
+        harmful content.", "module": "promptflow.tools.azure_content_safety", "function":
+        "analyze_text", "is_builtin": true, "package": "promptflow-tools", "package_version":
+        "1.3.0rc1", "enable_kwargs": false, "deprecated_tools": ["content_safety_text.tools.content_safety_text_tool.analyze_text"],
+        "tool_state": "stable"}, {"name": "Embedding", "type": "python", "inputs":
+        {"connection": {"type": ["AzureOpenAIConnection", "OpenAIConnection"], "allow_manual_entry":
+        false, "is_multi_select": false, "input_type": "default"}, "deployment_name":
+        {"type": ["string"], "enabled_by": "connection", "enabled_by_type": ["AzureOpenAIConnection"],
+        "model_list": ["text-embedding-ada-002", "text-search-ada-doc-001", "text-search-ada-query-001"],
+        "capabilities": {"completion": false, "chat_completion": false, "embeddings":
+        true}, "allow_manual_entry": false, "is_multi_select": false, "input_type":
+        "default"}, "input": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
+        false, "input_type": "default"}, "model": {"type": ["string"], "enum": ["text-embedding-ada-002",
+        "text-search-ada-doc-001", "text-search-ada-query-001"], "enabled_by": "connection",
+        "enabled_by_type": ["OpenAIConnection"], "allow_manual_entry": true, "is_multi_select":
+        false, "input_type": "default"}}, "description": "Use Open AI''s embedding
+        model to create an embedding vector representing the input text.", "module":
+        "promptflow.tools.embedding", "function": "embedding", "is_builtin": true,
+        "package": "promptflow-tools", "package_version": "1.3.0rc1", "enable_kwargs":
+        false, "tool_state": "stable"}, {"name": "Open Model LLM", "type": "custom_llm",
+        "inputs": {"api": {"type": ["string"], "enum": ["chat", "completion"], "allow_manual_entry":
+        false, "is_multi_select": false, "input_type": "default", "ui_hints": {"index":
+        2}}, "deployment_name": {"type": ["string"], "default": "", "dynamic_list":
+        {"func_path": "promptflow.tools.open_model_llm.list_deployment_names", "func_kwargs":
+        [{"name": "endpoint", "optional": true, "reference": "${inputs.endpoint}",
+        "type": ["string"]}]}, "allow_manual_entry": true, "is_multi_select": false,
+        "input_type": "default", "ui_hints": {"index": 1}}, "endpoint_name": {"type":
+        ["string"], "dynamic_list": {"func_path": "promptflow.tools.open_model_llm.list_endpoint_names"},
+        "allow_manual_entry": true, "is_multi_select": false, "input_type": "default",
+        "ui_hints": {"index": 0}}, "max_new_tokens": {"type": ["int"], "default":
+        500, "allow_manual_entry": false, "is_multi_select": false, "input_type":
+        "default", "ui_hints": {"index": 4}}, "model_kwargs": {"type": ["object"],
+        "default": "{}", "allow_manual_entry": false, "is_multi_select": false, "input_type":
+        "default", "advanced": true, "ui_hints": {"index": 6}}, "temperature": {"type":
+        ["double"], "default": 1.0, "allow_manual_entry": false, "is_multi_select":
+        false, "input_type": "default", "ui_hints": {"index": 3}}, "top_p": {"type":
+        ["double"], "default": 1.0, "allow_manual_entry": false, "is_multi_select":
+        false, "input_type": "default", "advanced": true, "ui_hints": {"index": 5}}},
+        "description": "Use an open model from the Azure Model catalog, deployed to
+        an AzureML Online Endpoint for LLM Chat or Completion API calls.", "module":
+        "promptflow.tools.open_model_llm", "class_name": "OpenModelLLM", "function":
+        "call", "icon": "data:image/png;base64,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",
+        "is_builtin": true, "package": "promptflow-tools", "package_version": "1.3.0rc1",
+        "enable_kwargs": false, "tool_state": "stable"}, {"name": "OpenAI GPT-4V",
+        "type": "custom_llm", "inputs": {"connection": {"type": ["OpenAIConnection"],
+        "allow_manual_entry": false, "is_multi_select": false, "input_type": "default",
+        "ui_hints": {"index": 0}}, "frequency_penalty": {"type": ["double"], "default":
+        0, "allow_manual_entry": false, "is_multi_select": false, "input_type": "default",
+        "ui_hints": {"index": 7}}, "max_tokens": {"type": ["int"], "default": 512,
+        "allow_manual_entry": false, "is_multi_select": false, "input_type": "default",
+        "ui_hints": {"index": 4}}, "model": {"type": ["string"], "enum": ["gpt-4-vision-preview"],
+        "allow_manual_entry": true, "is_multi_select": false, "input_type": "default",
+        "ui_hints": {"index": 1}}, "presence_penalty": {"type": ["double"], "default":
+        0, "allow_manual_entry": false, "is_multi_select": false, "input_type": "default",
+        "ui_hints": {"index": 6}}, "stop": {"type": ["list"], "default": "", "allow_manual_entry":
+        false, "is_multi_select": false, "input_type": "default", "ui_hints": {"index":
+        5}}, "temperature": {"type": ["double"], "default": 1, "allow_manual_entry":
+        false, "is_multi_select": false, "input_type": "default", "ui_hints": {"index":
+        2}}, "top_p": {"type": ["double"], "default": 1, "allow_manual_entry": false,
+        "is_multi_select": false, "input_type": "default", "ui_hints": {"index": 3}}},
+        "description": "Use OpenAI GPT-4V to leverage vision ability.", "module":
+        "promptflow.tools.openai_gpt4v", "class_name": "OpenAI", "function": "chat",
+        "icon": {"dark": "data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAABAAAAAQCAYAAAAf8/9hAAAA2ElEQVR4nJXSzW3CQBAF4DUSTjk+Al1AD0ikESslpBIEheRALhEpgAYSWV8OGUublf/yLuP3PPNmdndS+gdwXZrYDmh7fGE/W+wXbaYd8IYm4rxJPnZ0boI3wZcdJxs/n+AwV7DFK7aFyfQdYIMLPvES8YJNf5yp4jMeeEYdWh38gXOR35YGHe5xabvQdsHv6PLi8qV6gycc8YH3iMfQu6Lh4ASr+F5Hh3XwVWnQYzUkVlX1nccplAb1SN6Y/sfgmlK64VS8wimldIv/0yj2QLkHizG0iWP4AVAfQ34DVQONAAAAAElFTkSuQmCC",
+        "light": "data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAABAAAAAQCAYAAAAf8/9hAAAAx0lEQVR4nJWSwQ2CQBBFX0jAcjgqXUgPJNiIsQQrIVCIFy8GC6ABDcGDX7Mus9n1Xz7zZ+fPsLPwH4bUg0dD2wMPcbR48Uxq4AKU4iSTDwZ1LhWXipN/B3V0J6hjBTvgLHZNonewBXrgDpzEvXSIjN0BE3AACmmF4kl5F6tNzcCoLpW0SvGovFvsb4oZ2AANcAOu4ka6axCcINN3rg654sww+CYsPD0OwjcozFNh/Qcd78tqVbCIW+n+Fky472Bh/Q6SYb1EEy8tDzd+9IsVPAAAAABJRU5ErkJggg=="},
+        "is_builtin": true, "package": "promptflow-tools", "package_version": "1.3.0rc1",
+        "default_prompt": "# system:\nAs an AI assistant, your task involves interpreting
+        images and responding to questions about the image.\nRemember to provide accurate
+        answers based on the information present in the image.\n\n# user:\nCan you
+        tell me what the image depicts?\n![image]({{image_input}})\n", "enable_kwargs":
+        false, "tool_state": "preview"}, {"name": "Serp API", "type": "python", "inputs":
+        {"connection": {"type": ["SerpConnection"], "allow_manual_entry": false, "is_multi_select":
+        false, "input_type": "default"}, "engine": {"type": ["string"], "default":
+        "google", "enum": ["google", "bing"], "allow_manual_entry": false, "is_multi_select":
+        false, "input_type": "default"}, "location": {"type": ["string"], "default":
+        "", "allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
+        "num": {"type": ["int"], "default": "10", "allow_manual_entry": false, "is_multi_select":
+        false, "input_type": "default"}, "query": {"type": ["string"], "allow_manual_entry":
+        false, "is_multi_select": false, "input_type": "default"}, "safe": {"type":
+        ["string"], "default": "off", "enum": ["active", "off"], "allow_manual_entry":
+        false, "is_multi_select": false, "input_type": "default"}}, "description":
+        "Use Serp API to obtain search results from a specific search engine.", "module":
+        "promptflow.tools.serpapi", "class_name": "SerpAPI", "function": "search",
+        "is_builtin": true, "package": "promptflow-tools", "package_version": "1.3.0rc1",
+        "enable_kwargs": false, "tool_state": "stable"}, {"name": "Index Lookup",
+        "type": "python", "inputs": {"acs_content_field": {"type": ["string"], "enabled_by":
+        "index_type", "enabled_by_value": ["Azure AI Search"], "dynamic_list": {"func_path":
+        "promptflow_vectordb.tool.common_index_lookup_utils.list_acs_index_fields",
+        "func_kwargs": [{"name": "acs_connection", "optional": false, "reference":
+        "${inputs.acs_index_connection}", "type": ["CognitiveSearchConnection"]},
+        {"name": "acs_index_name", "optional": false, "reference": "${inputs.acs_index_name}",
+        "type": ["string"]}, {"default": "Edm.String", "name": "field_data_type",
+        "optional": false, "type": ["string"]}]}, "allow_manual_entry": false, "is_multi_select":
+        false, "input_type": "uionly_hidden"}, "acs_embedding_field": {"type": ["string"],
+        "enabled_by": "index_type", "enabled_by_value": ["Azure AI Search"], "dynamic_list":
+        {"func_path": "promptflow_vectordb.tool.common_index_lookup_utils.list_acs_index_fields",
+        "func_kwargs": [{"name": "acs_connection", "optional": false, "reference":
+        "${inputs.acs_index_connection}", "type": ["CognitiveSearchConnection"]},
+        {"name": "acs_index_name", "optional": false, "reference": "${inputs.acs_index_name}",
+        "type": ["string"]}, {"default": "Collection(Edm.Single)", "name": "field_data_type",
+        "optional": false, "type": ["string"]}]}, "allow_manual_entry": false, "is_multi_select":
+        false, "input_type": "uionly_hidden"}, "acs_index_connection": {"type": ["CognitiveSearchConnection"],
+        "enabled_by": "index_type", "enabled_by_value": ["Azure AI Search"], "allow_manual_entry":
+        false, "is_multi_select": false, "input_type": "uionly_hidden"}, "acs_index_name":
+        {"type": ["string"], "enabled_by": "index_type", "enabled_by_value": ["Azure
+        AI Search"], "dynamic_list": {"func_path": "promptflow_vectordb.tool.common_index_lookup_utils.list_acs_indices",
+        "func_kwargs": [{"name": "acs_connection", "optional": false, "reference":
+        "${inputs.acs_index_connection}", "type": ["CognitiveSearchConnection"]}]},
+        "allow_manual_entry": false, "is_multi_select": false, "input_type": "uionly_hidden"},
+        "acs_metadata_field": {"type": ["string"], "enabled_by": "index_type", "enabled_by_value":
+        ["Azure AI Search"], "dynamic_list": {"func_path": "promptflow_vectordb.tool.common_index_lookup_utils.list_acs_index_fields",
+        "func_kwargs": [{"name": "acs_connection", "optional": false, "reference":
+        "${inputs.acs_index_connection}", "type": ["CognitiveSearchConnection"]},
+        {"name": "acs_index_name", "optional": false, "reference": "${inputs.acs_index_name}",
+        "type": ["string"]}, {"default": "Edm.String", "name": "field_data_type",
+        "optional": false, "type": ["string"]}]}, "allow_manual_entry": false, "is_multi_select":
+        false, "input_type": "uionly_hidden"}, "aoai_embedding_connection": {"type":
+        ["AzureOpenAIConnection"], "enabled_by": "embedding_type", "enabled_by_value":
+        ["Azure OpenAI"], "allow_manual_entry": false, "is_multi_select": false, "input_type":
+        "uionly_hidden"}, "embedding_deployment": {"type": ["string"], "enabled_by":
+        "embedding_type", "enabled_by_value": ["Azure OpenAI"], "dynamic_list": {"func_path":
+        "promptflow_vectordb.tool.common_index_lookup_utils.list_aoai_embedding_deployments",
+        "func_kwargs": [{"name": "aoai_connection", "optional": false, "reference":
+        "${inputs.aoai_embedding_connection}", "type": ["AzurOpenAIConnection"]}]},
+        "allow_manual_entry": false, "is_multi_select": false, "input_type": "uionly_hidden"},
+        "embedding_model": {"type": ["string"], "enabled_by": "embedding_type", "enabled_by_value":
+        ["OpenAI", "Hugging Face"], "dynamic_list": {"func_path": "promptflow_vectordb.tool.common_index_lookup_utils.list_embedding_models",
+        "func_kwargs": [{"name": "embedding_type", "optional": false, "reference":
+        "${inputs.embedding_type}", "type": ["string"]}]}, "allow_manual_entry": false,
+        "is_multi_select": false, "input_type": "uionly_hidden"}, "embedding_type":
+        {"type": ["string"], "enabled_by": "index_type", "enabled_by_value": ["Azure
+        AI Search", "FAISS", "Pinecone"], "dynamic_list": {"func_path": "promptflow_vectordb.tool.common_index_lookup_utils.list_available_embedding_types",
+        "func_kwargs": [{"name": "index_type", "optional": false, "reference": "${inputs.index_type}",
+        "type": ["string"]}]}, "allow_manual_entry": false, "is_multi_select": false,
+        "input_type": "uionly_hidden"}, "faiss_index_path": {"type": ["string"], "enabled_by":
+        "index_type", "enabled_by_value": ["FAISS"], "allow_manual_entry": false,
+        "is_multi_select": false, "input_type": "uionly_hidden"}, "index_type": {"type":
+        ["string"], "dynamic_list": {"func_path": "promptflow_vectordb.tool.common_index_lookup_utils.list_available_index_types"},
+        "allow_manual_entry": false, "is_multi_select": false, "input_type": "uionly_hidden"},
+        "mlindex_asset_id": {"type": ["string"], "enabled_by": "index_type", "enabled_by_value":
+        ["Registered Index"], "dynamic_list": {"func_path": "promptflow_vectordb.tool.common_index_lookup_utils.list_registered_mlindices"},
+        "allow_manual_entry": false, "is_multi_select": false, "input_type": "uionly_hidden"},
+        "mlindex_content": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
+        false, "generated_by": {"func_path": "promptflow_vectordb.tool.common_index_lookup_utils.forward_mapping",
+        "func_kwargs": [{"name": "index_type", "reference": "${inputs.index_type}",
+        "type": ["string"]}, {"name": "mlindex_asset_id", "optional": true, "reference":
+        "${inputs.mlindex_asset_id}", "type": ["string"]}, {"name": "mlindex_path",
+        "optional": true, "reference": "${inputs.mlindex_path}", "type": ["string"]},
+        {"name": "acs_index_connection", "optional": true, "reference": "${inputs.acs_index_connection}",
+        "type": ["CognitiveSearchConnection"]}, {"name": "acs_index_name", "optional":
+        true, "reference": "${inputs.acs_index_name}", "type": ["string"]}, {"name":
+        "acs_content_field", "optional": true, "reference": "${inputs.acs_content_field}",
+        "type": ["string"]}, {"name": "acs_embedding_field", "optional": true, "reference":
+        "${inputs.acs_embedding_field}", "type": ["string"]}, {"name": "acs_metadata_field",
+        "optional": true, "reference": "${inputs.acs_metadata_field}", "type": ["string"]},
+        {"name": "semantic_configuration", "optional": true, "reference": "${inputs.semantic_configuration}",
+        "type": ["string"]}, {"name": "faiss_index_path", "optional": true, "reference":
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+        "optional": true, "reference": "${inputs.acs_metadata_field}", "type": ["string"]},
+        {"name": "semantic_configuration", "optional": true, "reference": "${inputs.semantic_configuration}",
+        "type": ["string"]}, {"name": "faiss_index_path", "optional": true, "reference":
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+        {"name": "embedding_model", "optional": true, "reference": "${inputs.embedding_model}",
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+        "func_kwargs": [{"name": "acs_connection", "optional": false, "reference":
+        "${inputs.acs_index_connection}", "type": ["CognitiveSearchConnection"]},
+        {"name": "acs_index_name", "optional": false, "reference": "${inputs.acs_index_name}",
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+        "generated_by": null, "input_type": "uionly_hidden", "advanced": null, "ui_hints":
+        null, "filter_by": null}, "top_k": {"Name": null, "Type": ["int"], "Default":
+        3, "Description": null, "Enum": null, "enabled_by": null, "enabled_by_type":
+        null, "enabled_by_value": null, "model_list": null, "Capabilities": null,
+        "dynamic_list": null, "allow_manual_entry": false, "is_multi_select": false,
+        "generated_by": null, "input_type": "default", "advanced": null, "ui_hints":
+        null, "filter_by": null}}, "Outputs": null, "Description": "Search an AzureML
+        Vector Index for relevant results using one or more text queries.", "connection_type":
+        null, "Module": "promptflow_vectordb.tool.common_index_lookup", "class_name":
+        null, "Source": null, "LkgCode": null, "Code": null, "Function": "search",
+        "action_type": null, "provider_config": null, "function_config": null, "Icon":
+        null, "Category": null, "Tags": null, "is_builtin": true, "package": "promptflow_vectordb",
+        "package_version": "0.2.4", "default_prompt": null, "enable_kwargs": false,
+        "deprecated_tools": null, "tool_state": "preview", "groups": null}, {"Name":
+        "Faiss Index Lookup", "Type": "python", "Inputs": {"path": {"Name": null,
+        "Type": ["string"], "Default": null, "Description": null, "Enum": null, "enabled_by":
+        null, "enabled_by_type": null, "enabled_by_value": null, "model_list": null,
+        "Capabilities": null, "dynamic_list": null, "allow_manual_entry": false, "is_multi_select":
+        false, "generated_by": null, "input_type": "default", "advanced": null, "ui_hints":
+        null, "filter_by": null}, "top_k": {"Name": null, "Type": ["int"], "Default":
+        "3", "Description": null, "Enum": null, "enabled_by": null, "enabled_by_type":
+        null, "enabled_by_value": null, "model_list": null, "Capabilities": null,
+        "dynamic_list": null, "allow_manual_entry": false, "is_multi_select": false,
+        "generated_by": null, "input_type": "default", "advanced": null, "ui_hints":
+        null, "filter_by": null}, "vector": {"Name": null, "Type": ["list"], "Default":
+        null, "Description": null, "Enum": null, "enabled_by": null, "enabled_by_type":
+        null, "enabled_by_value": null, "model_list": null, "Capabilities": null,
+        "dynamic_list": null, "allow_manual_entry": false, "is_multi_select": false,
+        "generated_by": null, "input_type": "default", "advanced": null, "ui_hints":
+        null, "filter_by": null}}, "Outputs": null, "Description": "Search vector
+        based query from the FAISS index file.", "connection_type": null, "Module":
+        "promptflow_vectordb.tool.faiss_index_lookup", "class_name": "FaissIndexLookup",
+        "Source": null, "LkgCode": null, "Code": null, "Function": "search", "action_type":
+        null, "provider_config": null, "function_config": null, "Icon": null, "Category":
+        null, "Tags": null, "is_builtin": true, "package": "promptflow_vectordb",
+        "package_version": "0.2.4", "default_prompt": null, "enable_kwargs": false,
+        "deprecated_tools": null, "tool_state": "deprecated", "groups": null}, {"Name":
+        "Vector DB Lookup", "Type": "python", "Inputs": {"class_name": {"Name": null,
+        "Type": ["string"], "Default": null, "Description": null, "Enum": null, "enabled_by":
+        "connection", "enabled_by_type": ["WeaviateConnection"], "enabled_by_value":
+        null, "model_list": null, "Capabilities": null, "dynamic_list": null, "allow_manual_entry":
+        false, "is_multi_select": false, "generated_by": null, "input_type": "default",
+        "advanced": null, "ui_hints": null, "filter_by": null}, "collection_name":
+        {"Name": null, "Type": ["string"], "Default": null, "Description": null, "Enum":
+        null, "enabled_by": "connection", "enabled_by_type": ["QdrantConnection"],
+        "enabled_by_value": null, "model_list": null, "Capabilities": null, "dynamic_list":
+        null, "allow_manual_entry": false, "is_multi_select": false, "generated_by":
+        null, "input_type": "default", "advanced": null, "ui_hints": null, "filter_by":
+        null}, "connection": {"Name": null, "Type": ["CognitiveSearchConnection",
+        "QdrantConnection", "WeaviateConnection"], "Default": null, "Description":
+        null, "Enum": null, "enabled_by": null, "enabled_by_type": null, "enabled_by_value":
+        null, "model_list": null, "Capabilities": null, "dynamic_list": null, "allow_manual_entry":
+        false, "is_multi_select": false, "generated_by": null, "input_type": "default",
+        "advanced": null, "ui_hints": null, "filter_by": null}, "index_name": {"Name":
+        null, "Type": ["string"], "Default": null, "Description": null, "Enum": null,
+        "enabled_by": "connection", "enabled_by_type": ["CognitiveSearchConnection"],
+        "enabled_by_value": null, "model_list": null, "Capabilities": null, "dynamic_list":
+        null, "allow_manual_entry": false, "is_multi_select": false, "generated_by":
+        null, "input_type": "default", "advanced": null, "ui_hints": null, "filter_by":
+        null}, "search_filters": {"Name": null, "Type": ["object"], "Default": null,
+        "Description": null, "Enum": null, "enabled_by": "connection", "enabled_by_type":
+        ["CognitiveSearchConnection", "QdrantConnection"], "enabled_by_value": null,
+        "model_list": null, "Capabilities": null, "dynamic_list": null, "allow_manual_entry":
+        false, "is_multi_select": false, "generated_by": null, "input_type": "default",
+        "advanced": null, "ui_hints": null, "filter_by": null}, "search_params": {"Name":
+        null, "Type": ["object"], "Default": null, "Description": null, "Enum": null,
+        "enabled_by": "connection", "enabled_by_type": ["CognitiveSearchConnection",
+        "QdrantConnection"], "enabled_by_value": null, "model_list": null, "Capabilities":
+        null, "dynamic_list": null, "allow_manual_entry": false, "is_multi_select":
+        false, "generated_by": null, "input_type": "default", "advanced": null, "ui_hints":
+        null, "filter_by": null}, "text_field": {"Name": null, "Type": ["string"],
+        "Default": null, "Description": null, "Enum": null, "enabled_by": "connection",
+        "enabled_by_type": ["CognitiveSearchConnection", "QdrantConnection", "WeaviateConnection"],
+        "enabled_by_value": null, "model_list": null, "Capabilities": null, "dynamic_list":
+        null, "allow_manual_entry": false, "is_multi_select": false, "generated_by":
+        null, "input_type": "default", "advanced": null, "ui_hints": null, "filter_by":
+        null}, "top_k": {"Name": null, "Type": ["int"], "Default": "3", "Description":
+        null, "Enum": null, "enabled_by": null, "enabled_by_type": null, "enabled_by_value":
+        null, "model_list": null, "Capabilities": null, "dynamic_list": null, "allow_manual_entry":
+        false, "is_multi_select": false, "generated_by": null, "input_type": "default",
+        "advanced": null, "ui_hints": null, "filter_by": null}, "vector": {"Name":
+        null, "Type": ["list"], "Default": null, "Description": null, "Enum": null,
+        "enabled_by": null, "enabled_by_type": null, "enabled_by_value": null, "model_list":
+        null, "Capabilities": null, "dynamic_list": null, "allow_manual_entry": false,
+        "is_multi_select": false, "generated_by": null, "input_type": "default", "advanced":
+        null, "ui_hints": null, "filter_by": null}, "vector_field": {"Name": null,
+        "Type": ["string"], "Default": null, "Description": null, "Enum": null, "enabled_by":
+        "connection", "enabled_by_type": ["CognitiveSearchConnection"], "enabled_by_value":
+        null, "model_list": null, "Capabilities": null, "dynamic_list": null, "allow_manual_entry":
+        false, "is_multi_select": false, "generated_by": null, "input_type": "default",
+        "advanced": null, "ui_hints": null, "filter_by": null}}, "Outputs": null,
+        "Description": "Search vector based query from existing Vector Database.",
+        "connection_type": null, "Module": "promptflow_vectordb.tool.vector_db_lookup",
+        "class_name": "VectorDBLookup", "Source": null, "LkgCode": null, "Code": null,
+        "Function": "search", "action_type": null, "provider_config": null, "function_config":
+        null, "Icon": null, "Category": null, "Tags": null, "is_builtin": true, "package":
+        "promptflow_vectordb", "package_version": "0.2.4", "default_prompt": null,
+        "enable_kwargs": false, "deprecated_tools": null, "tool_state": "deprecated",
+        "groups": null}, {"Name": "Vector Index Lookup", "Type": "python", "Inputs":
+        {"path": {"Name": null, "Type": ["string"], "Default": null, "Description":
+        null, "Enum": null, "enabled_by": null, "enabled_by_type": null, "enabled_by_value":
+        null, "model_list": null, "Capabilities": null, "dynamic_list": null, "allow_manual_entry":
+        false, "is_multi_select": false, "generated_by": null, "input_type": "default",
+        "advanced": null, "ui_hints": null, "filter_by": null}, "query": {"Name":
+        null, "Type": ["object"], "Default": null, "Description": null, "Enum": null,
+        "enabled_by": null, "enabled_by_type": null, "enabled_by_value": null, "model_list":
+        null, "Capabilities": null, "dynamic_list": null, "allow_manual_entry": false,
+        "is_multi_select": false, "generated_by": null, "input_type": "default", "advanced":
+        null, "ui_hints": null, "filter_by": null}, "top_k": {"Name": null, "Type":
+        ["int"], "Default": "3", "Description": null, "Enum": null, "enabled_by":
+        null, "enabled_by_type": null, "enabled_by_value": null, "model_list": null,
+        "Capabilities": null, "dynamic_list": null, "allow_manual_entry": false, "is_multi_select":
+        false, "generated_by": null, "input_type": "default", "advanced": null, "ui_hints":
+        null, "filter_by": null}}, "Outputs": null, "Description": "Search text or
+        vector based query from AzureML Vector Index.", "connection_type": null, "Module":
+        "promptflow_vectordb.tool.vector_index_lookup", "class_name": "VectorIndexLookup",
+        "Source": null, "LkgCode": null, "Code": null, "Function": "search", "action_type":
+        null, "provider_config": null, "function_config": null, "Icon": null, "Category":
+        null, "Tags": null, "is_builtin": true, "package": "promptflow_vectordb",
+        "package_version": "0.2.4", "default_prompt": null, "enable_kwargs": false,
+        "deprecated_tools": null, "tool_state": "deprecated", "groups": null}, {"Name":
+        "classify_with_llm.jinja2", "Type": "prompt", "Inputs": {"examples": {"Name":
+        null, "Type": ["string"], "Default": null, "Description": null, "Enum": null,
+        "enabled_by": null, "enabled_by_type": null, "enabled_by_value": null, "model_list":
+        null, "Capabilities": null, "dynamic_list": null, "allow_manual_entry": false,
+        "is_multi_select": false, "generated_by": null, "input_type": "default", "advanced":
+        null, "ui_hints": null, "filter_by": null}, "text_content": {"Name": null,
+        "Type": ["string"], "Default": null, "Description": null, "Enum": null, "enabled_by":
+        null, "enabled_by_type": null, "enabled_by_value": null, "model_list": null,
+        "Capabilities": null, "dynamic_list": null, "allow_manual_entry": false, "is_multi_select":
+        false, "generated_by": null, "input_type": "default", "advanced": null, "ui_hints":
+        null, "filter_by": null}, "url": {"Name": null, "Type": ["string"], "Default":
+        null, "Description": null, "Enum": null, "enabled_by": null, "enabled_by_type":
+        null, "enabled_by_value": null, "model_list": null, "Capabilities": null,
+        "dynamic_list": null, "allow_manual_entry": false, "is_multi_select": false,
+        "generated_by": null, "input_type": "default", "advanced": null, "ui_hints":
+        null, "filter_by": null}}, "Outputs": null, "Description": null, "connection_type":
+        null, "Module": null, "class_name": null, "Source": "classify_with_llm.jinja2",
+        "LkgCode": null, "Code": null, "Function": null, "action_type": null, "provider_config":
+        null, "function_config": null, "Icon": null, "Category": null, "Tags": null,
+        "is_builtin": false, "package": null, "package_version": null, "default_prompt":
+        null, "enable_kwargs": false, "deprecated_tools": null, "tool_state": "stable",
+        "groups": null}, {"Name": "convert_to_dict.py", "Type": "python", "Inputs":
+        {"input_str": {"Name": null, "Type": ["string"], "Default": null, "Description":
+        null, "Enum": null, "enabled_by": null, "enabled_by_type": null, "enabled_by_value":
+        null, "model_list": null, "Capabilities": null, "dynamic_list": null, "allow_manual_entry":
+        false, "is_multi_select": false, "generated_by": null, "input_type": "default",
+        "advanced": null, "ui_hints": null, "filter_by": null}}, "Outputs": null,
+        "Description": null, "connection_type": null, "Module": null, "class_name":
+        null, "Source": "convert_to_dict.py", "LkgCode": null, "Code": null, "Function":
+        "convert_to_dict", "action_type": null, "provider_config": null, "function_config":
+        null, "Icon": null, "Category": null, "Tags": null, "is_builtin": false, "package":
+        null, "package_version": null, "default_prompt": null, "enable_kwargs": false,
+        "deprecated_tools": null, "tool_state": "stable", "groups": null}, {"Name":
+        "fetch_text_content_from_url.py", "Type": "python", "Inputs": {"fetch_url":
+        {"Name": null, "Type": ["string"], "Default": null, "Description": null, "Enum":
+        null, "enabled_by": null, "enabled_by_type": null, "enabled_by_value": null,
+        "model_list": null, "Capabilities": null, "dynamic_list": null, "allow_manual_entry":
+        false, "is_multi_select": false, "generated_by": null, "input_type": "default",
+        "advanced": null, "ui_hints": null, "filter_by": null}}, "Outputs": null,
+        "Description": null, "connection_type": null, "Module": null, "class_name":
+        null, "Source": "fetch_text_content_from_url.py", "LkgCode": null, "Code":
+        null, "Function": "fetch_text_content_from_url", "action_type": null, "provider_config":
+        null, "function_config": null, "Icon": null, "Category": null, "Tags": null,
+        "is_builtin": false, "package": null, "package_version": null, "default_prompt":
+        null, "enable_kwargs": false, "deprecated_tools": null, "tool_state": "stable",
+        "groups": null}, {"Name": "prepare_examples.py", "Type": "python", "Inputs":
+        null, "Outputs": null, "Description": null, "connection_type": null, "Module":
+        null, "class_name": null, "Source": "prepare_examples.py", "LkgCode": null,
+        "Code": null, "Function": "prepare_examples", "action_type": null, "provider_config":
+        null, "function_config": null, "Icon": null, "Category": null, "Tags": null,
+        "is_builtin": false, "package": null, "package_version": null, "default_prompt":
+        null, "enable_kwargs": false, "deprecated_tools": null, "tool_state": "stable",
+        "groups": null}, {"Name": "summarize_text_content.jinja2", "Type": "prompt",
+        "Inputs": {"text": {"Name": null, "Type": ["string"], "Default": null, "Description":
+        null, "Enum": null, "enabled_by": null, "enabled_by_type": null, "enabled_by_value":
+        null, "model_list": null, "Capabilities": null, "dynamic_list": null, "allow_manual_entry":
+        false, "is_multi_select": false, "generated_by": null, "input_type": "default",
+        "advanced": null, "ui_hints": null, "filter_by": null}}, "Outputs": null,
+        "Description": null, "connection_type": null, "Module": null, "class_name":
+        null, "Source": "summarize_text_content.jinja2", "LkgCode": null, "Code":
+        null, "Function": null, "action_type": null, "provider_config": null, "function_config":
+        null, "Icon": null, "Category": null, "Tags": null, "is_builtin": false, "package":
+        null, "package_version": null, "default_prompt": null, "enable_kwargs": false,
+        "deprecated_tools": null, "tool_state": "stable", "groups": null}, {"Name":
+        "summarize_text_content__variant_1.jinja2", "Type": "prompt", "Inputs": {"text":
+        {"Name": null, "Type": ["string"], "Default": null, "Description": null, "Enum":
+        null, "enabled_by": null, "enabled_by_type": null, "enabled_by_value": null,
+        "model_list": null, "Capabilities": null, "dynamic_list": null, "allow_manual_entry":
+        false, "is_multi_select": false, "generated_by": null, "input_type": "default",
+        "advanced": null, "ui_hints": null, "filter_by": null}}, "Outputs": null,
+        "Description": null, "connection_type": null, "Module": null, "class_name":
+        null, "Source": "summarize_text_content__variant_1.jinja2", "LkgCode": null,
+        "Code": null, "Function": null, "action_type": null, "provider_config": null,
+        "function_config": null, "Icon": null, "Category": null, "Tags": null, "is_builtin":
+        false, "package": null, "package_version": null, "default_prompt": null, "enable_kwargs":
+        false, "deprecated_tools": null, "tool_state": "stable", "groups": null}],
+        "Codes": null, "Inputs": {"url": {"name": null, "type": "string", "default":
+        "https://www.microsoft.com/en-us/d/xbox-wireless-controller-stellar-shift-special-edition/94fbjc7h0h6h",
+        "description": null, "is_chat_input": false, "is_chat_history": null}}, "Outputs":
+        {"category": {"name": null, "type": "string", "description": null, "reference":
+        "${convert_to_dict.output.category}", "evaluation_only": false, "is_chat_output":
+        false}, "evidence": {"name": null, "type": "string", "description": null,
+        "reference": "${convert_to_dict.output.evidence}", "evaluation_only": false,
+        "is_chat_output": false}}}, "jobSpecification": null, "systemSettings": null}'
+    headers:
+      connection:
+      - keep-alive
+      content-length:
+      - '97917'
+      content-type:
+      - application/json; charset=utf-8
+      strict-transport-security:
+      - max-age=31536000; includeSubDomains; preload
+      transfer-encoding:
+      - chunked
+      vary:
+      - Accept-Encoding
+      x-content-type-options:
+      - nosniff
+      x-request-time:
+      - '0.041'
+    status:
+      code: 200
+      message: OK
+version: 1
diff --git a/src/promptflow/tests/test_configs/recordings/test_run_operations_TestFlowRun_test_run_submission_exception.yaml b/src/promptflow-recording/recordings/azure/test_run_operations_TestFlowRun_test_run_submission_exception.yaml
similarity index 100%
rename from src/promptflow/tests/test_configs/recordings/test_run_operations_TestFlowRun_test_run_submission_exception.yaml
rename to src/promptflow-recording/recordings/azure/test_run_operations_TestFlowRun_test_run_submission_exception.yaml
diff --git a/src/promptflow/tests/test_configs/recordings/test_run_operations_TestFlowRun_test_run_with_compute_instance_session.yaml b/src/promptflow-recording/recordings/azure/test_run_operations_TestFlowRun_test_run_with_compute_instance_session.yaml
similarity index 100%
rename from src/promptflow/tests/test_configs/recordings/test_run_operations_TestFlowRun_test_run_with_compute_instance_session.yaml
rename to src/promptflow-recording/recordings/azure/test_run_operations_TestFlowRun_test_run_with_compute_instance_session.yaml
diff --git a/src/promptflow/tests/test_configs/recordings/test_run_operations_TestFlowRun_test_run_with_compute_instance_session_yml.yaml b/src/promptflow-recording/recordings/azure/test_run_operations_TestFlowRun_test_run_with_compute_instance_session_yml.yaml
similarity index 100%
rename from src/promptflow/tests/test_configs/recordings/test_run_operations_TestFlowRun_test_run_with_compute_instance_session_yml.yaml
rename to src/promptflow-recording/recordings/azure/test_run_operations_TestFlowRun_test_run_with_compute_instance_session_yml.yaml
diff --git a/src/promptflow/tests/test_configs/recordings/test_run_operations_TestFlowRun_test_run_with_connection_overwrite.yaml b/src/promptflow-recording/recordings/azure/test_run_operations_TestFlowRun_test_run_with_connection_overwrite.yaml
similarity index 100%
rename from src/promptflow/tests/test_configs/recordings/test_run_operations_TestFlowRun_test_run_with_connection_overwrite.yaml
rename to src/promptflow-recording/recordings/azure/test_run_operations_TestFlowRun_test_run_with_connection_overwrite.yaml
diff --git a/src/promptflow/tests/test_configs/recordings/test_run_operations_TestFlowRun_test_run_with_env_overwrite.yaml b/src/promptflow-recording/recordings/azure/test_run_operations_TestFlowRun_test_run_with_env_overwrite.yaml
similarity index 100%
rename from src/promptflow/tests/test_configs/recordings/test_run_operations_TestFlowRun_test_run_with_env_overwrite.yaml
rename to src/promptflow-recording/recordings/azure/test_run_operations_TestFlowRun_test_run_with_env_overwrite.yaml
diff --git a/src/promptflow/tests/test_configs/recordings/test_run_operations_TestFlowRun_test_run_with_environment_variables.yaml b/src/promptflow-recording/recordings/azure/test_run_operations_TestFlowRun_test_run_with_environment_variables.yaml
similarity index 100%
rename from src/promptflow/tests/test_configs/recordings/test_run_operations_TestFlowRun_test_run_with_environment_variables.yaml
rename to src/promptflow-recording/recordings/azure/test_run_operations_TestFlowRun_test_run_with_environment_variables.yaml
diff --git a/src/promptflow/tests/test_configs/recordings/test_run_operations_TestFlowRun_test_run_with_environment_variables_run_yaml.yaml b/src/promptflow-recording/recordings/azure/test_run_operations_TestFlowRun_test_run_with_environment_variables_run_yaml.yaml
similarity index 100%
rename from src/promptflow/tests/test_configs/recordings/test_run_operations_TestFlowRun_test_run_with_environment_variables_run_yaml.yaml
rename to src/promptflow-recording/recordings/azure/test_run_operations_TestFlowRun_test_run_with_environment_variables_run_yaml.yaml
diff --git a/src/promptflow/tests/test_configs/recordings/test_run_operations_TestFlowRun_test_run_with_remote_data.yaml b/src/promptflow-recording/recordings/azure/test_run_operations_TestFlowRun_test_run_with_remote_data.yaml
similarity index 100%
rename from src/promptflow/tests/test_configs/recordings/test_run_operations_TestFlowRun_test_run_with_remote_data.yaml
rename to src/promptflow-recording/recordings/azure/test_run_operations_TestFlowRun_test_run_with_remote_data.yaml
diff --git a/src/promptflow/tests/test_configs/recordings/test_run_operations_TestFlowRun_test_run_without_dump.yaml b/src/promptflow-recording/recordings/azure/test_run_operations_TestFlowRun_test_run_without_dump.yaml
similarity index 100%
rename from src/promptflow/tests/test_configs/recordings/test_run_operations_TestFlowRun_test_run_without_dump.yaml
rename to src/promptflow-recording/recordings/azure/test_run_operations_TestFlowRun_test_run_without_dump.yaml
diff --git a/src/promptflow/tests/test_configs/recordings/test_run_operations_TestFlowRun_test_session_id_with_different_env.yaml b/src/promptflow-recording/recordings/azure/test_run_operations_TestFlowRun_test_session_id_with_different_env.yaml
similarity index 100%
rename from src/promptflow/tests/test_configs/recordings/test_run_operations_TestFlowRun_test_session_id_with_different_env.yaml
rename to src/promptflow-recording/recordings/azure/test_run_operations_TestFlowRun_test_session_id_with_different_env.yaml
diff --git a/src/promptflow/tests/test_configs/recordings/test_run_operations_TestFlowRun_test_show_metrics.yaml b/src/promptflow-recording/recordings/azure/test_run_operations_TestFlowRun_test_show_metrics.yaml
similarity index 100%
rename from src/promptflow/tests/test_configs/recordings/test_run_operations_TestFlowRun_test_show_metrics.yaml
rename to src/promptflow-recording/recordings/azure/test_run_operations_TestFlowRun_test_show_metrics.yaml
diff --git a/src/promptflow/tests/test_configs/recordings/test_run_operations_TestFlowRun_test_show_run.yaml b/src/promptflow-recording/recordings/azure/test_run_operations_TestFlowRun_test_show_run.yaml
similarity index 100%
rename from src/promptflow/tests/test_configs/recordings/test_run_operations_TestFlowRun_test_show_run.yaml
rename to src/promptflow-recording/recordings/azure/test_run_operations_TestFlowRun_test_show_run.yaml
diff --git a/src/promptflow/tests/test_configs/recordings/test_run_operations_TestFlowRun_test_show_run_details.yaml b/src/promptflow-recording/recordings/azure/test_run_operations_TestFlowRun_test_show_run_details.yaml
similarity index 100%
rename from src/promptflow/tests/test_configs/recordings/test_run_operations_TestFlowRun_test_show_run_details.yaml
rename to src/promptflow-recording/recordings/azure/test_run_operations_TestFlowRun_test_show_run_details.yaml
diff --git a/src/promptflow/tests/test_configs/recordings/test_run_operations_TestFlowRun_test_stream_failed_run_logs.yaml b/src/promptflow-recording/recordings/azure/test_run_operations_TestFlowRun_test_stream_failed_run_logs.yaml
similarity index 100%
rename from src/promptflow/tests/test_configs/recordings/test_run_operations_TestFlowRun_test_stream_failed_run_logs.yaml
rename to src/promptflow-recording/recordings/azure/test_run_operations_TestFlowRun_test_stream_failed_run_logs.yaml
diff --git a/src/promptflow/tests/test_configs/recordings/test_run_operations_TestFlowRun_test_stream_invalid_run_logs.yaml b/src/promptflow-recording/recordings/azure/test_run_operations_TestFlowRun_test_stream_invalid_run_logs.yaml
similarity index 100%
rename from src/promptflow/tests/test_configs/recordings/test_run_operations_TestFlowRun_test_stream_invalid_run_logs.yaml
rename to src/promptflow-recording/recordings/azure/test_run_operations_TestFlowRun_test_stream_invalid_run_logs.yaml
diff --git a/src/promptflow/tests/test_configs/recordings/test_run_operations_TestFlowRun_test_stream_run_logs.yaml b/src/promptflow-recording/recordings/azure/test_run_operations_TestFlowRun_test_stream_run_logs.yaml
similarity index 100%
rename from src/promptflow/tests/test_configs/recordings/test_run_operations_TestFlowRun_test_stream_run_logs.yaml
rename to src/promptflow-recording/recordings/azure/test_run_operations_TestFlowRun_test_stream_run_logs.yaml
diff --git a/src/promptflow/tests/test_configs/recordings/test_run_operations_TestFlowRun_test_tools_json_ignored.yaml b/src/promptflow-recording/recordings/azure/test_run_operations_TestFlowRun_test_tools_json_ignored.yaml
similarity index 100%
rename from src/promptflow/tests/test_configs/recordings/test_run_operations_TestFlowRun_test_tools_json_ignored.yaml
rename to src/promptflow-recording/recordings/azure/test_run_operations_TestFlowRun_test_tools_json_ignored.yaml
diff --git a/src/promptflow/tests/test_configs/recordings/test_run_operations_TestFlowRun_test_update_run.yaml b/src/promptflow-recording/recordings/azure/test_run_operations_TestFlowRun_test_update_run.yaml
similarity index 100%
rename from src/promptflow/tests/test_configs/recordings/test_run_operations_TestFlowRun_test_update_run.yaml
rename to src/promptflow-recording/recordings/azure/test_run_operations_TestFlowRun_test_update_run.yaml
diff --git a/src/promptflow-recording/recordings/azure/test_run_operations_TestFlowRun_test_wrong_workspace_type.yaml b/src/promptflow-recording/recordings/azure/test_run_operations_TestFlowRun_test_wrong_workspace_type.yaml
new file mode 100644
index 00000000000..e665bad3d43
--- /dev/null
+++ b/src/promptflow-recording/recordings/azure/test_run_operations_TestFlowRun_test_wrong_workspace_type.yaml
@@ -0,0 +1,46 @@
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+      Accept-Encoding:
+      - gzip, deflate, br
+      Connection:
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+    method: GET
+    uri: https://management.azure.com/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000
+  response:
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+        "tier": "Basic"}, "properties": {"discoveryUrl": "https://eastus.api.azureml.ms/discovery"}}'
+    headers:
+      cache-control:
+      - no-cache
+      content-length:
+      - '3630'
+      content-type:
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+      expires:
+      - '-1'
+      pragma:
+      - no-cache
+      strict-transport-security:
+      - max-age=31536000; includeSubDomains
+      vary:
+      - Accept-Encoding
+      x-cache:
+      - CONFIG_NOCACHE
+      x-content-type-options:
+      - nosniff
+      x-request-time:
+      - '0.024'
+    status:
+      code: 200
+      message: OK
+version: 1
diff --git a/src/promptflow/tests/test_configs/recordings/test_telemetry_TestTelemetry_test_custom_event.yaml b/src/promptflow-recording/recordings/azure/test_telemetry_TestTelemetry_test_custom_event.yaml
similarity index 100%
rename from src/promptflow/tests/test_configs/recordings/test_telemetry_TestTelemetry_test_custom_event.yaml
rename to src/promptflow-recording/recordings/azure/test_telemetry_TestTelemetry_test_custom_event.yaml
diff --git a/src/promptflow/tests/test_configs/recordings/test_telemetry_TestTelemetry_test_inner_function_call.yaml b/src/promptflow-recording/recordings/azure/test_telemetry_TestTelemetry_test_inner_function_call.yaml
similarity index 100%
rename from src/promptflow/tests/test_configs/recordings/test_telemetry_TestTelemetry_test_inner_function_call.yaml
rename to src/promptflow-recording/recordings/azure/test_telemetry_TestTelemetry_test_inner_function_call.yaml
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new file mode 100644
index 00000000000..d0fa2a91255
--- /dev/null
+++ b/src/promptflow-recording/recordings/azure/test_telemetry_TestTelemetry_test_run_yaml_type.yaml
@@ -0,0 +1,402 @@
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+      - application/json
+      Accept-Encoding:
+      - gzip, deflate
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+      - keep-alive
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+    method: GET
+    uri: https://management.azure.com/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000
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+    headers:
+      cache-control:
+      - no-cache
+      content-length:
+      - '3649'
+      content-type:
+      - application/json; charset=utf-8
+      expires:
+      - '-1'
+      pragma:
+      - no-cache
+      strict-transport-security:
+      - max-age=31536000; includeSubDomains
+      vary:
+      - Accept-Encoding
+      x-cache:
+      - CONFIG_NOCACHE
+      x-content-type-options:
+      - nosniff
+      x-request-time:
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+    status:
+      code: 200
+      message: OK
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+      Accept:
+      - application/json
+      Accept-Encoding:
+      - gzip, deflate
+      Connection:
+      - keep-alive
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+        "containerName": "fake-container-name", "endpoint": "core.windows.net", "protocol":
+        "https", "serviceDataAccessAuthIdentity": "WorkspaceSystemAssignedIdentity"},
+        "systemData": {"createdAt": "2023-09-22T05:26:30.7527337+00:00", "createdBy":
+        "779301c0-18b2-4cdc-801b-a0a3368fee0a", "createdByType": "Application", "lastModifiedAt":
+        "2024-01-10T09:29:14.5412854+00:00", "lastModifiedBy": "Philip Gao", "lastModifiedByType":
+        "User"}}]}'
+    headers:
+      cache-control:
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+      strict-transport-security:
+      - max-age=31536000; includeSubDomains
+      vary:
+      - Accept-Encoding
+      x-cache:
+      - CONFIG_NOCACHE
+      x-content-type-options:
+      - nosniff
+      x-request-time:
+      - '0.611'
+    status:
+      code: 200
+      message: OK
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+    headers:
+      Accept:
+      - application/json
+      Accept-Encoding:
+      - gzip, deflate
+      Connection:
+      - keep-alive
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+    uri: https://management.azure.com/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/datastores/workspaceblobstore
+  response:
+    body:
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+        "name": "workspaceblobstore", "type": "Microsoft.MachineLearningServices/workspaces/datastores",
+        "properties": {"description": null, "tags": null, "properties": null, "isDefault":
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+        null, "subscriptionId": "00000000-0000-0000-0000-000000000000", "resourceGroup":
+        "00000", "datastoreType": "AzureBlob", "accountName": "fake_account_name",
+        "containerName": "fake-container-name", "endpoint": "core.windows.net", "protocol":
+        "https", "serviceDataAccessAuthIdentity": "WorkspaceSystemAssignedIdentity"},
+        "systemData": {"createdAt": "2023-09-22T05:26:30.7527337+00:00", "createdBy":
+        "779301c0-18b2-4cdc-801b-a0a3368fee0a", "createdByType": "Application", "lastModifiedAt":
+        "2024-01-10T09:29:14.5412854+00:00", "lastModifiedBy": "Philip Gao", "lastModifiedByType":
+        "User"}}'
+    headers:
+      cache-control:
+      - no-cache
+      content-length:
+      - '1200'
+      content-type:
+      - application/json; charset=utf-8
+      expires:
+      - '-1'
+      pragma:
+      - no-cache
+      strict-transport-security:
+      - max-age=31536000; includeSubDomains
+      vary:
+      - Accept-Encoding
+      x-cache:
+      - CONFIG_NOCACHE
+      x-content-type-options:
+      - nosniff
+      x-request-time:
+      - '0.062'
+    status:
+      code: 200
+      message: OK
+- request:
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+    headers:
+      Accept:
+      - application/json
+      Accept-Encoding:
+      - gzip, deflate
+      Connection:
+      - keep-alive
+      Content-Length:
+      - '0'
+      User-Agent:
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+        Python/3.9.18 (Windows-10-10.0.22631-SP0)
+    method: POST
+    uri: https://management.azure.com/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/datastores/workspaceblobstore/listSecrets
+  response:
+    body:
+      string: '{"secretsType": "AccountKey", "key": "dGhpcyBpcyBmYWtlIGtleQ=="}'
+    headers:
+      cache-control:
+      - no-cache
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+      - '134'
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+      expires:
+      - '-1'
+      pragma:
+      - no-cache
+      strict-transport-security:
+      - max-age=31536000; includeSubDomains
+      x-cache:
+      - CONFIG_NOCACHE
+      x-content-type-options:
+      - nosniff
+      x-request-time:
+      - '0.170'
+    status:
+      code: 200
+      message: OK
+- request:
+    body: null
+    headers:
+      Accept:
+      - application/xml
+      Accept-Encoding:
+      - gzip, deflate
+      Connection:
+      - keep-alive
+      User-Agent:
+      - azsdk-python-storage-blob/12.19.0 Python/3.9.18 (Windows-10-10.0.22631-SP0)
+      x-ms-date:
+      - Tue, 12 Mar 2024 07:38:17 GMT
+      x-ms-version:
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+    method: HEAD
+    uri: https://fake_account_name.blob.core.windows.net/fake-container-name/LocalUpload/000000000000000000000000000000000000/print_input_flow.jsonl
+  response:
+    body:
+      string: ''
+    headers:
+      accept-ranges:
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+      x-ms-date:
+      - Tue, 12 Mar 2024 07:38:18 GMT
+      x-ms-version:
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+    method: HEAD
+    uri: https://fake_account_name.blob.core.windows.net/fake-container-name/az-ml-artifacts/000000000000000000000000000000000000/print_input_flow.jsonl
+  response:
+    body:
+      string: ''
+    headers:
+      server:
+      - Windows-Azure-Blob/1.0 Microsoft-HTTPAPI/2.0
+      transfer-encoding:
+      - chunked
+      vary:
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+      x-ms-version:
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+    status:
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+      message: The specified blob does not exist.
+- request:
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+      Accept:
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+      Accept-Encoding:
+      - gzip, deflate
+      Connection:
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+    uri: https://management.azure.com/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/datastores/workspaceblobstore
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+        "name": "workspaceblobstore", "type": "Microsoft.MachineLearningServices/workspaces/datastores",
+        "properties": {"description": null, "tags": null, "properties": null, "isDefault":
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+        "containerName": "fake-container-name", "endpoint": "core.windows.net", "protocol":
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+        "systemData": {"createdAt": "2023-09-22T05:26:30.7527337+00:00", "createdBy":
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+    headers:
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+      - '1200'
+      content-type:
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+      pragma:
+      - no-cache
+      strict-transport-security:
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+      vary:
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+      x-cache:
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+      x-content-type-options:
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+      x-request-time:
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+    status:
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+      message: OK
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+    headers:
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+      Accept-Encoding:
+      - gzip, deflate
+      Connection:
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+      Content-Length:
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+    uri: https://management.azure.com/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/datastores/workspaceblobstore/listSecrets
+  response:
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+    headers:
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+      - no-cache
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+      x-cache:
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+      x-content-type-options:
+      - nosniff
+      x-request-time:
+      - '0.065'
+    status:
+      code: 200
+      message: OK
+- request:
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+    headers:
+      Accept:
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+      Accept-Encoding:
+      - gzip, deflate
+      Connection:
+      - keep-alive
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+      Content-Type:
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+    method: POST
+    uri: https://dc.services.visualstudio.com/v2.1/track
+  response:
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+    headers:
+      content-type:
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+      server:
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+      strict-transport-security:
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+      transfer-encoding:
+      - chunked
+      x-content-type-options:
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+    status:
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+      message: OK
+version: 1
diff --git a/src/promptflow/tests/test_configs/recordings/test_telemetry_TestTelemetry_test_sdk_telemetry_ua.yaml b/src/promptflow-recording/recordings/azure/test_telemetry_TestTelemetry_test_sdk_telemetry_ua.yaml
similarity index 100%
rename from src/promptflow/tests/test_configs/recordings/test_telemetry_TestTelemetry_test_sdk_telemetry_ua.yaml
rename to src/promptflow-recording/recordings/azure/test_telemetry_TestTelemetry_test_sdk_telemetry_ua.yaml
diff --git a/src/promptflow-recording/recordings/local/executor_node_cache.shelve.bak b/src/promptflow-recording/recordings/local/executor_node_cache.shelve.bak
new file mode 100644
index 00000000000..32349d105f9
--- /dev/null
+++ b/src/promptflow-recording/recordings/local/executor_node_cache.shelve.bak
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diff --git a/src/promptflow-recording/recordings/local/executor_node_cache.shelve.dat b/src/promptflow-recording/recordings/local/executor_node_cache.shelve.dat
new file mode 100644
index 00000000000..cbdeebb63b4
Binary files /dev/null and b/src/promptflow-recording/recordings/local/executor_node_cache.shelve.dat differ
diff --git a/src/promptflow-recording/recordings/local/executor_node_cache.shelve.dir b/src/promptflow-recording/recordings/local/executor_node_cache.shelve.dir
new file mode 100644
index 00000000000..32349d105f9
--- /dev/null
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new file mode 100644
index 00000000000..fe2bee8f373
--- /dev/null
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new file mode 100644
index 00000000000..93404798252
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diff --git a/src/promptflow-recording/recordings/local/node_cache.shelve.dir b/src/promptflow-recording/recordings/local/node_cache.shelve.dir
new file mode 100644
index 00000000000..fe2bee8f373
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+'3936d688d89e10af38f3fb96212d4b232f32cdfd', (160768, 2042)
+'a2df0b2cd19b719ea21d216c2b8a13d7e4ed9203', (162816, 586)
+'136410920f9a71d2cc41ed4ac2c6a43ac7e80770', (163840, 4764)
+'62ba454de5828dd04f058cd71cf0bd243f427bf2', (168960, 2573)
+'a14dc485f384620f455bebfba257f07e54e87011', (172032, 4629)
+'c8fcd047770466d76018d8b9656c18b7a87a9dcf', (177152, 2255)
+'d32004842e1a6752e3f7b08e532e46290ef35a39', (179712, 10747)
+'8ee88079e0887b5ace44e682d314963d16863940', (190464, 3912)
+'03b04c445e78777c9e7bc56e57854baa9a4a509f', (194560, 4303)
+'683f3abbccfab892e1013d2314d6837c0d51c724', (199168, 4305)
+'d41772e8a1ce4ab82a1aabb635a7fd82d9317db6', (203776, 4328)
+'a099a90626930c0d6c988957b1baccd5689fa1a6', (208384, 2861)
+'2c89af11794bf4443069cd4745e9c56f293555af', (211968, 5309)
+'024082b6c196500a2914e177a4f02af1d1e17b27', (217600, 4315)
+'5ccf7a8b10f20168e31475f1765159bd5e17d579', (222208, 2282)
+'306986e1053671de518922e747d044b4c9b8ca2a', (224768, 4077)
+'ab3c789da615a90a68f183597d9ae96cc0317998', (228864, 4552)
+'5c2ef83820e13a27afdff39c0f3a365934e3684b', (233472, 1752)
+'f0218a466bb8dba6b2e6ad27670c8538f5dd4d98', (235520, 279)
+'e1191443c40984b6af07b4ef0c4bbb34a033adad', (236032, 2283)
+'b22eddaacb91c88e520e42c1ad66b35bb8d17618', (238592, 2380)
+'f786a0d820131f72dc802d60c1a778e2e4b7953a', (241152, 57401)
+'0ed5617f6e2ea3093542b8de2497e9283581253b', (299008, 7719)
+'8cf128af83ea2aaf4a09890690ab16f3bb347bb3', (307200, 309)
+'343332ff6b96d3b1baac23c4e8394a6a965f84b1', (307712, 327)
+'740b85e35ddecf84a6aeaec23e4dbce955be2ab6', (308224, 2257)
+'0a120d452e2e316923fa975fc716539b94faf5be', (310784, 4876)
+'66f0bce1c572bcd7a5ea1973af02e6508c2c006d', (315904, 1937)
+'8304ac0af7a3e04c1ef9d9e34dba81abfe3ba211', (327168, 5243)
+'42744df4b6b58816c404897aa06957a8e4554c86', (322560, 4493)
+'66b62b83dbef38d5ad021acbe15d4e3a93cd21f6', (332800, 5395)
+'52b9e8907f873d01597eedf889d9f8d56b1f7fac', (338432, 5392)
+'a30804ecfecf0d4f43ce012ce3c9520ee7255901', (344064, 4069)
+'b9bcb73bbe85960e4f492c6b60fd2584de421f91', (348160, 325)
+'71d8e363eeac4e3334679f505225acd75ef5607b', (348672, 414)
+'e86cb445b6fd5c7ac664953d9ff006a4e9285d22', (349184, 4531)
+'dbf350596085a5cd5aa1be0709da430507bf06f3', (353792, 1922)
+'05a77a24b6a04713e8035183d5bcbe516a7c6201', (355840, 2190)
+'f982607f0b16462076e95b085628f125a9ce13fd', (358400, 4018)
+'7f6b2e7803bfbecbf55a8d5eba3cd51fd9d3c672', (362496, 11456)
+'e9aa82ac7a0a8b507f6882b04757cd67ff7130b4', (374272, 11427)
+'c373d6c5f4798042dc85d13fb6bd8fae74a128fc', (386048, 1923)
+'d5233d057cbc48471693b779d752dc01c0dca2ad', (388096, 3960)
+'351e77abed00fa8e8a5387db88fbce07e922dd22', (392192, 2308)
+'afebacc90db07fbf98ecfcc2d951f704cb5a208f', (394752, 2835)
+'faa4d363016d7b1da890039f888df72e59b534bc', (397824, 148)
+'e5a68e8e2335d0ba17ddb720c8a36fdaa5237cf7', (398336, 163)
diff --git a/src/promptflow-recording/recordings/local/tracing.node_cache.shelve.bak b/src/promptflow-recording/recordings/local/tracing.node_cache.shelve.bak
new file mode 100644
index 00000000000..601bfca9f7a
--- /dev/null
+++ b/src/promptflow-recording/recordings/local/tracing.node_cache.shelve.bak
@@ -0,0 +1,6 @@
+'1de9b52ec6d201d80db2fb1aa05af35e80798162', (0, 1247)
+'283cc9b3bc509bb8142f911b17c9329008429000', (1536, 1064)
+'196bb6cd9cd059b55b1814f88c4e434cbd74bda1', (3072, 4891)
+'66d056201607853fc01f62af09392d013b0d2468', (8192, 6270)
+'ea48203d881e43bd9e027a19525ba88816c9a639', (14848, 14393)
+'e53962d6670e3c446a659b93e8ff5900f82bce76', (29696, 14391)
diff --git a/src/promptflow-recording/recordings/local/tracing.node_cache.shelve.dat b/src/promptflow-recording/recordings/local/tracing.node_cache.shelve.dat
new file mode 100644
index 00000000000..c67bfc7d5fa
Binary files /dev/null and b/src/promptflow-recording/recordings/local/tracing.node_cache.shelve.dat differ
diff --git a/src/promptflow-recording/recordings/local/tracing.node_cache.shelve.dir b/src/promptflow-recording/recordings/local/tracing.node_cache.shelve.dir
new file mode 100644
index 00000000000..601bfca9f7a
--- /dev/null
+++ b/src/promptflow-recording/recordings/local/tracing.node_cache.shelve.dir
@@ -0,0 +1,6 @@
+'1de9b52ec6d201d80db2fb1aa05af35e80798162', (0, 1247)
+'283cc9b3bc509bb8142f911b17c9329008429000', (1536, 1064)
+'196bb6cd9cd059b55b1814f88c4e434cbd74bda1', (3072, 4891)
+'66d056201607853fc01f62af09392d013b0d2468', (8192, 6270)
+'ea48203d881e43bd9e027a19525ba88816c9a639', (14848, 14393)
+'e53962d6670e3c446a659b93e8ff5900f82bce76', (29696, 14391)
diff --git a/src/promptflow-recording/requirements.txt b/src/promptflow-recording/requirements.txt
new file mode 100644
index 00000000000..e7011aaec93
--- /dev/null
+++ b/src/promptflow-recording/requirements.txt
@@ -0,0 +1,2 @@
+promptflow-tracing
+vcr
diff --git a/src/promptflow-tools/CHANGELOG.md b/src/promptflow-tools/CHANGELOG.md
index 9a003501905..419e90ddee3 100644
--- a/src/promptflow-tools/CHANGELOG.md
+++ b/src/promptflow-tools/CHANGELOG.md
@@ -1,7 +1,53 @@
 # Release History
 
+## 1.4.0 (2024.03.26)
+
+### Features Added
+- Enable token based auth in azure openai connection for tools.
+- Add "seed" to LLM and GPT-Vision tool inputs.
+
+### Improvements
+- Improve error message when LLM tool meets gpt-4-vision-preview model.
+
+### Bugs Fixed
+- Set default values to workspace triad parameters of dynamic list function to avoid misleading errors when clicking tool input.
+
+## 1.3.0 (2024.03.01)
+
+### Improvements
+- Disable openai built-in retry mechanism for better debuggability and real-time status updates.
+- Refine the retry-after interval for openai retry error.
+
+## 1.2.0 (2024.02.07)
+
+### Features Added
+- Support tool "Azure OpenAI GPT-4 Turbo with Vision" to auto list "deployment_name".
+
+### Improvements
+- Match the promptflow-tools setup to promptflow setup.
+
+## 1.1.0 (2024.01.23)
+
+### Features Added
+- Use ruamel.yaml instead of pyyaml in promptflow.
+
+## 1.0.3 (2024.01.08)
+
+### Features Added
+- Add new tool "Azure OpenAI GPT-4 Turbo with Vision".
+- Support "response_format" for azure openai chat api in LLM tool.
+
+## 1.0.1 (2023.12.13)
+
+### Features Added
+- Support "response_format" for openai chat api in LLM tool.
+- Add "allow_manual_entry" for embedding tool.
+
+### Improvements
+- Handle all OpenSource\HuggingFace Models with the same MIR request format in 'Open Model LLM' tool.
+
 ## 1.0.0 (2023.11.30)
 
 ### Features Added
-- Support openai 1.x in promptflow-tools
-- Add new tool "OpenAI GPT-4V"
+- Support openai 1.x in promptflow-tools.
+- Add new tool "OpenAI GPT-4V".
diff --git a/src/promptflow-tools/connections.json.example b/src/promptflow-tools/connections.json.example
index 8c17e8dde93..eff504ea6a8 100644
--- a/src/promptflow-tools/connections.json.example
+++ b/src/promptflow-tools/connections.json.example
@@ -9,6 +9,16 @@
     },
     "module": "promptflow.connections"
   },
+  "azure_open_ai_connection_meid": {
+    "type": "AzureOpenAIConnection",
+    "value": {
+      "api_base": "aoai-api-endpoint",
+      "api_type": "azure",
+      "api_version": "2023-07-01-preview",
+      "auth_mode": "meid_token"
+    },
+    "module": "promptflow.connections"
+  },
   "serp_connection": {
     "type": "SerpConnection",
     "value": {
diff --git a/src/promptflow-tools/promptflow/tools/aoai.py b/src/promptflow-tools/promptflow/tools/aoai.py
index ef234a82e0c..1419a28707d 100644
--- a/src/promptflow-tools/promptflow/tools/aoai.py
+++ b/src/promptflow-tools/promptflow/tools/aoai.py
@@ -129,14 +129,9 @@ def chat(
             "top_p": float(top_p),
             "n": int(n),
             "stream": stream,
-            "stop": stop if stop else None,
-            "max_tokens": int(max_tokens) if max_tokens is not None and str(max_tokens).lower() != "inf" else None,
             "presence_penalty": float(presence_penalty),
             "frequency_penalty": float(frequency_penalty),
-            "logit_bias": logit_bias,
             "user": user,
-            "response_format": response_format,
-            "seed": seed,
             "extra_headers": {"ms-azure-ai-promptflow-called-from": "aoai-tool"}
         }
         if functions is not None:
@@ -144,6 +139,18 @@ def chat(
             params["functions"] = functions
             params["function_call"] = process_function_call(function_call)
 
+        # to avoid vision model validation error for empty param values.
+        if stop:
+            params["stop"] = stop
+        if max_tokens is not None and str(max_tokens).lower() != "inf":
+            params["max_tokens"] = int(max_tokens)
+        if logit_bias:
+            params["logit_bias"] = logit_bias
+        if response_format:
+            params["response_format"] = response_format
+        if seed is not None:
+            params["seed"] = seed
+
         completion = self._client.chat.completions.create(**params)
         return post_process_chat_api_response(completion, stream, functions)
 
diff --git a/src/promptflow-tools/promptflow/tools/aoai_gpt4v.py b/src/promptflow-tools/promptflow/tools/aoai_gpt4v.py
index cd67d633673..b2f4aaacff7 100644
--- a/src/promptflow-tools/promptflow/tools/aoai_gpt4v.py
+++ b/src/promptflow-tools/promptflow/tools/aoai_gpt4v.py
@@ -1,138 +1,34 @@
-from promptflow._internal import ToolProvider, tool
-from promptflow.connections import AzureOpenAIConnection
-from promptflow.contracts.types import PromptTemplate
-from promptflow.exceptions import ErrorTarget, UserErrorException
 from typing import List, Dict
 
 from promptflow.tools.common import render_jinja_template, handle_openai_error, parse_chat, \
     preprocess_template_string, find_referenced_image_set, convert_to_chat_list, init_azure_openai_client, \
-    post_process_chat_api_response
-
-
-GPT4V_VERSION = "vision-preview"
-
-
-def _get_credential():
-    from azure.identity import DefaultAzureCredential
-    from azure.ai.ml._azure_environments import _get_default_cloud_name, EndpointURLS, _get_cloud, AzureEnvironments
-    # Support sovereign cloud cases, like mooncake, fairfax.
-    cloud_name = _get_default_cloud_name()
-    if cloud_name != AzureEnvironments.ENV_DEFAULT:
-        cloud = _get_cloud(cloud=cloud_name)
-        authority = cloud.get(EndpointURLS.ACTIVE_DIRECTORY_ENDPOINT)
-        credential = DefaultAzureCredential(authority=authority, exclude_shared_token_cache_credential=True)
-    else:
-        credential = DefaultAzureCredential()
-
-    return credential
-
-
-def _parse_resource_id(resource_id):
-    # Resource id is connection's id in following format:
-    # "/subscriptions/{sub}/resourceGroups/{rg}/providers/Microsoft.CognitiveServices/accounts/{account}"
-    split_parts = resource_id.split("/")
-    if len(split_parts) != 9:
-        raise ParseConnectionError(
-            f"Connection resourceId format invalid, cur resourceId is {resource_id}."
-        )
-    sub, rg, account = split_parts[2], split_parts[4], split_parts[-1]
-
-    return sub, rg, account
-
-
-class Deployment:
-    def __init__(
-        self,
-        name: str,
-        model_name: str,
-        version: str
-    ):
-        self.name = name
-        self.model_name = model_name
-        self.version = version
-
-
-class ListDeploymentsError(UserErrorException):
-    def __init__(self, msg, **kwargs):
-        super().__init__(msg, target=ErrorTarget.TOOL, **kwargs)
-
+    post_process_chat_api_response, list_deployment_connections, build_deployment_dict, GPT4V_VERSION
 
-class ParseConnectionError(ListDeploymentsError):
-    def __init__(self, msg, **kwargs):
-        super().__init__(msg, **kwargs)
-
-
-def _build_deployment_dict(item) -> Deployment:
-    model = item.properties.model
-    return Deployment(item.name, model.name, model.version)
+from promptflow._internal import ToolProvider, tool
+from promptflow.connections import AzureOpenAIConnection
+from promptflow.contracts.types import PromptTemplate
 
 
 def list_deployment_names(
-    subscription_id,
-    resource_group_name,
-    workspace_name,
+    subscription_id=None,
+    resource_group_name=None,
+    workspace_name=None,
     connection=""
 ) -> List[Dict[str, str]]:
     res = []
-    try:
-        # Does not support dynamic list for local.
-        from azure.mgmt.cognitiveservices import CognitiveServicesManagementClient
-        from promptflow.azure.operations._arm_connection_operations import \
-            ArmConnectionOperations, OpenURLFailedUserError
-    except ImportError:
-        return res
-    # For local, subscription_id is None. Does not suppot dynamic list for local.
-    if not subscription_id:
+    deployment_collection = list_deployment_connections(subscription_id, resource_group_name, workspace_name,
+                                                        connection)
+    if not deployment_collection:
         return res
 
-    try:
-        credential = _get_credential()
-        try:
-            # Currently, the param 'connection' is str, not AzureOpenAIConnection type.
-            conn = ArmConnectionOperations._build_connection_dict(
-                name=connection,
-                subscription_id=subscription_id,
-                resource_group_name=resource_group_name,
-                workspace_name=workspace_name,
-                credential=credential
-            )
-            resource_id = conn.get("value").get('resource_id', "")
-            if not resource_id:
-                return res
-            conn_sub, conn_rg, conn_account = _parse_resource_id(resource_id)
-        except OpenURLFailedUserError:
-            return res
-        except ListDeploymentsError as e:
-            raise e
-        except Exception as e:
-            msg = f"Parsing connection with exception: {e}"
-            raise ListDeploymentsError(msg=msg) from e
-
-        client = CognitiveServicesManagementClient(
-            credential=credential,
-            subscription_id=conn_sub,
-        )
-        deployment_collection = client.deployments.list(
-            resource_group_name=conn_rg,
-            account_name=conn_account,
-        )
-
-        for item in deployment_collection:
-            deployment = _build_deployment_dict(item)
-            if deployment.version == GPT4V_VERSION:
-                cur_item = {
-                    "value": deployment.name,
-                    "display_value": deployment.name,
-                }
-                res.append(cur_item)
-
-    except Exception as e:
-        if hasattr(e, 'status_code') and e.status_code == 403:
-            msg = f"Failed to list deployments due to permission issue: {e}"
-            raise ListDeploymentsError(msg=msg) from e
-        else:
-            msg = f"Failed to list deployments with exception: {e}"
-            raise ListDeploymentsError(msg=msg) from e
+    for item in deployment_collection:
+        deployment = build_deployment_dict(item)
+        if deployment.version == GPT4V_VERSION:
+            cur_item = {
+                "value": deployment.name,
+                "display_value": deployment.name,
+            }
+            res.append(cur_item)
 
     return res
 
diff --git a/src/promptflow-tools/promptflow/tools/common.py b/src/promptflow-tools/promptflow/tools/common.py
index 9e853fae518..4e3dd3ab901 100644
--- a/src/promptflow-tools/promptflow/tools/common.py
+++ b/src/promptflow-tools/promptflow/tools/common.py
@@ -1,19 +1,37 @@
 import functools
 import json
+import os
 import re
 import sys
 import time
-from typing import List, Mapping
+from typing import List, Mapping, Union
 
 from jinja2 import Template
-from openai import APIConnectionError, APIStatusError, OpenAIError, RateLimitError, APITimeoutError
+from openai import APIConnectionError, APIStatusError, OpenAIError, RateLimitError, APITimeoutError, BadRequestError
 from promptflow.tools.exception import ChatAPIInvalidRole, WrappedOpenAIError, LLMError, JinjaTemplateError, \
     ExceedMaxRetryTimes, ChatAPIInvalidFunctions, FunctionCallNotSupportedInStreamMode, \
-    ChatAPIFunctionRoleInvalidFormat, InvalidConnectionType
-from promptflow.connections import AzureOpenAIConnection, OpenAIConnection
+    ChatAPIFunctionRoleInvalidFormat, InvalidConnectionType, ListDeploymentsError, ParseConnectionError
+
+from promptflow._cli._utils import get_workspace_triad_from_local
+from promptflow.connections import AzureOpenAIConnection, OpenAIConnection, ServerlessConnection
 from promptflow.exceptions import SystemErrorException, UserErrorException
 
 
+GPT4V_VERSION = "vision-preview"
+
+
+class Deployment:
+    def __init__(
+            self,
+            name: str,
+            model_name: str,
+            version: str
+    ):
+        self.name = name
+        self.model_name = model_name
+        self.version = version
+
+
 class ChatInputList(list):
     """
     ChatInputList is a list of ChatInput objects. It is used to override the __str__ method of list to return a string
@@ -188,6 +206,134 @@ def generate_retry_interval(retry_count: int) -> float:
     return retry_interval
 
 
+def build_deployment_dict(item) -> Deployment:
+    model = item.properties.model
+    return Deployment(item.name, model.name, model.version)
+
+
+def _parse_resource_id(resource_id):
+    # Resource id is connection's id in following format:
+    # "/subscriptions/{sub}/resourceGroups/{rg}/providers/Microsoft.CognitiveServices/accounts/{account}"
+    split_parts = resource_id.split("/")
+    if len(split_parts) != 9:
+        raise ParseConnectionError(
+            f"Connection resourceId format invalid, cur resourceId is {resource_id}."
+        )
+    sub, rg, account = split_parts[2], split_parts[4], split_parts[-1]
+
+    return sub, rg, account
+
+
+def _get_credential():
+    from azure.identity import DefaultAzureCredential
+    from azure.ai.ml._azure_environments import _get_default_cloud_name, EndpointURLS, _get_cloud, AzureEnvironments
+    # Support sovereign cloud cases, like mooncake, fairfax.
+    cloud_name = _get_default_cloud_name()
+    if cloud_name != AzureEnvironments.ENV_DEFAULT:
+        cloud = _get_cloud(cloud=cloud_name)
+        authority = cloud.get(EndpointURLS.ACTIVE_DIRECTORY_ENDPOINT)
+        credential = DefaultAzureCredential(authority=authority, exclude_shared_token_cache_credential=True)
+    else:
+        credential = DefaultAzureCredential()
+
+    return credential
+
+
+def get_workspace_triad():
+    # If flow is submitted from cloud, runtime will save the workspace triad to environment
+    if 'AZUREML_ARM_SUBSCRIPTION' in os.environ and 'AZUREML_ARM_RESOURCEGROUP' in os.environ \
+            and 'AZUREML_ARM_WORKSPACE_NAME' in os.environ:
+        return os.environ["AZUREML_ARM_SUBSCRIPTION"], os.environ["AZUREML_ARM_RESOURCEGROUP"], \
+               os.environ["AZUREML_ARM_WORKSPACE_NAME"]
+    else:
+        # If flow is submitted from local, it will get workspace triad from your azure cloud config file
+        # If this config file isn't set up, it will return None.
+        workspace_triad = get_workspace_triad_from_local()
+        return workspace_triad.subscription_id, workspace_triad.resource_group_name, workspace_triad.workspace_name
+
+
+def list_deployment_connections(
+    subscription_id=None,
+    resource_group_name=None,
+    workspace_name=None,
+    connection="",
+):
+    try:
+        # Do not support dynamic list if azure packages are not installed.
+        from azure.mgmt.cognitiveservices import CognitiveServicesManagementClient
+        from promptflow.azure.operations._arm_connection_operations import \
+            ArmConnectionOperations, OpenURLFailedUserError
+    except ImportError:
+        return None
+
+    # Do not support dynamic list if the workspace triple is set in the local.
+    if not subscription_id or not resource_group_name or not workspace_name:
+        return None
+
+    try:
+        credential = _get_credential()
+        try:
+            # Currently, the param 'connection' is str, not AzureOpenAIConnection type.
+            conn = ArmConnectionOperations._build_connection_dict(
+                name=connection,
+                subscription_id=subscription_id,
+                resource_group_name=resource_group_name,
+                workspace_name=workspace_name,
+                credential=credential
+            )
+            resource_id = conn.get("value").get('resource_id', "")
+            if not resource_id:
+                return None
+            conn_sub, conn_rg, conn_account = _parse_resource_id(resource_id)
+        except OpenURLFailedUserError:
+            return None
+        except ListDeploymentsError as e:
+            raise e
+        except Exception as e:
+            msg = f"Parsing connection with exception: {e}"
+            raise ListDeploymentsError(msg=msg) from e
+
+        client = CognitiveServicesManagementClient(
+            credential=credential,
+            subscription_id=conn_sub,
+        )
+        return client.deployments.list(
+            resource_group_name=conn_rg,
+            account_name=conn_account,
+        )
+    except Exception as e:
+        if hasattr(e, 'status_code') and e.status_code == 403:
+            msg = f"Failed to list deployments due to permission issue: {e}"
+            raise ListDeploymentsError(msg=msg) from e
+        else:
+            msg = f"Failed to list deployments with exception: {e}"
+            raise ListDeploymentsError(msg=msg) from e
+
+
+def refine_extra_fields_not_permitted_error(connection, deployment_name, model):
+    tsg = "Please kindly avoid using vision model in LLM tool, " \
+          "because vision model cannot work with some chat api parameters. " \
+          "You can change to use tool 'Azure OpenAI GPT-4 Turbo with Vision' " \
+          "or 'OpenAI GPT-4V' for vision model."
+    try:
+        if isinstance(connection, AzureOpenAIConnection):
+            subscription_id, resource_group, workspace_name = get_workspace_triad()
+            if subscription_id and resource_group and workspace_name:
+                deployment_collection = list_deployment_connections(subscription_id, resource_group, workspace_name,
+                                                                    connection.name)
+                for item in deployment_collection:
+                    if deployment_name == item.name:
+                        if item.properties.model.version in [GPT4V_VERSION]:
+                            return tsg
+        elif isinstance(connection, OpenAIConnection) and model in ["gpt-4-vision-preview"]:
+            return tsg
+    except Exception as e:
+        print(f"Exception occurs when refine extra fields not permitted error for llm: "
+              f"{type(e).__name__}: {str(e)}", file=sys.stderr)
+
+    return None
+
+
 # TODO(2971352): revisit this tries=100 when there is any change to the 10min timeout logic
 def handle_openai_error(tries: int = 100):
     """
@@ -212,6 +358,19 @@ def wrapper(*args, **kwargs):
                     #  Handle retriable exception, please refer to
                     #  https://platform.openai.com/docs/guides/error-codes/api-errors
                     print(f"Exception occurs: {type(e).__name__}: {str(e)}", file=sys.stderr)
+                    # Vision model does not support all chat api parameters, e.g. response_format and function_call.
+                    # Recommend user to use vision model in vision tools, rather than LLM tool.
+                    # Related issue https://github.com/microsoft/promptflow/issues/1683
+                    if isinstance(e, BadRequestError) and "extra fields not permitted" in str(e).lower():
+                        refined_error_message = \
+                            refine_extra_fields_not_permitted_error(args[0].connection,
+                                                                    kwargs.get("deployment_name", ""),
+                                                                    kwargs.get("model", ""))
+                        if refined_error_message:
+                            raise LLMError(message=f"{str(e)} {refined_error_message}")
+                        else:
+                            raise WrappedOpenAIError(e)
+
                     if isinstance(e, APIConnectionError) and not isinstance(e, APITimeoutError) \
                             and "connection aborted" not in str(e).lower():
                         raise WrappedOpenAIError(e)
@@ -383,19 +542,7 @@ def normalize_connection_config(connection):
     ensuring it is compatible and standardized for use.
     """
     if isinstance(connection, AzureOpenAIConnection):
-        use_key_auth = True
-        try:
-            from promptflow._sdk._constants import ConnectionAuthMode
-            if connection.auth_mode == ConnectionAuthMode.MEID_TOKEN:
-                use_key_auth = False
-        except ImportError as e:
-            if "cannot import name 'ConnectionAuthMode' from 'promptflow._sdk._constants'" in str(e):
-                print("Failed to import ConnectionAuthMode, use key auth by default.")
-                pass
-            else:
-                raise e
-
-        if use_key_auth:
+        if connection.api_key:
             return {
                 # disable OpenAI's built-in retry mechanism by using our own retry
                 # for better debuggability and real-time status updates.
@@ -418,13 +565,24 @@ def normalize_connection_config(connection):
             "organization": connection.organization,
             "base_url": connection.base_url
         }
+    elif isinstance(connection, ServerlessConnection):
+        suffix = "/v1"
+        base_url = connection.api_base
+        if not base_url.endswith(suffix):
+            # append "/v1" to ServerlessConnection api_base so that it can directly use the OpenAI SDK.
+            base_url += suffix
+        return {
+            "max_retries": 0,
+            "api_key": connection.api_key,
+            "base_url": base_url
+        }
     else:
         error_message = f"Not Support connection type '{type(connection).__name__}'. " \
                         f"Connection type should be in [AzureOpenAIConnection, OpenAIConnection]."
         raise InvalidConnectionType(message=error_message)
 
 
-def init_openai_client(connection: OpenAIConnection):
+def init_openai_client(connection: Union[OpenAIConnection, ServerlessConnection]):
     try:
         from openai import OpenAI as OpenAIClient
     except ImportError as e:
diff --git a/src/promptflow-tools/promptflow/tools/exception.py b/src/promptflow-tools/promptflow/tools/exception.py
index 260684f9a29..54ba9b67a62 100644
--- a/src/promptflow-tools/promptflow/tools/exception.py
+++ b/src/promptflow-tools/promptflow/tools/exception.py
@@ -53,6 +53,11 @@ def to_openai_error_message(e: Exception) -> str:
               "'gpt-4-1106-preview'. You can refer to " \
               "https://learn.microsoft.com/en-us/azure/ai-services/openai/how-to/json-mode?tabs=python."
         return f"OpenAI API hits {ex_type}: {msg}"
+    elif "Principal does not have access to API/Operation" in error_message:
+        msg = "Principal does not have access to API/Operation. If you are using azure openai connection, " \
+              "please make sure you have proper role assignment on your azure openai resource. You can refer to " \
+              "https://learn.microsoft.com/en-us/azure/ai-services/openai/how-to/role-based-access-control"
+        return f"OpenAI API hits {ex_type}: {msg}"
     else:
         return f"OpenAI API hits {ex_type}: {error_message} [{openai_error_code_ref_message}]"
 
@@ -193,3 +198,13 @@ class AzureContentSafetySystemError(SystemErrorException):
 
     def __init__(self, **kwargs):
         super().__init__(**kwargs, target=ErrorTarget.TOOL)
+
+
+class ListDeploymentsError(UserErrorException):
+    def __init__(self, msg, **kwargs):
+        super().__init__(msg, target=ErrorTarget.TOOL, **kwargs)
+
+
+class ParseConnectionError(ListDeploymentsError):
+    def __init__(self, msg, **kwargs):
+        super().__init__(msg, **kwargs)
diff --git a/src/promptflow-tools/promptflow/tools/open_model_llm.py b/src/promptflow-tools/promptflow/tools/open_model_llm.py
index 74b1b2088f0..e2c1edf585f 100644
--- a/src/promptflow-tools/promptflow/tools/open_model_llm.py
+++ b/src/promptflow-tools/promptflow/tools/open_model_llm.py
@@ -521,11 +521,15 @@ def parse_endpoint_connection_type(endpoint_connection_name: str) -> Tuple[str,
     return (endpoint_connection_details[0].lower(), endpoint_connection_details[1])
 
 
-def list_endpoint_names(subscription_id: str,
-                        resource_group_name: str,
-                        workspace_name: str,
+def list_endpoint_names(subscription_id: str = None,
+                        resource_group_name: str = None,
+                        workspace_name: str = None,
                         return_endpoint_url: bool = False,
                         force_refresh: bool = False) -> List[Dict[str, Union[str, int, float, list, Dict]]]:
+    # return an empty list if workspace triad is not available.
+    if not subscription_id or not resource_group_name or not workspace_name:
+        return []
+
     cache_file_path = None
     try:
         with tempfile.NamedTemporaryFile(delete=False) as temp_file:
@@ -598,10 +602,14 @@ def list_endpoint_names(subscription_id: str,
     return list_of_endpoints
 
 
-def list_deployment_names(subscription_id: str,
-                          resource_group_name: str,
-                          workspace_name: str,
+def list_deployment_names(subscription_id: str = None,
+                          resource_group_name: str = None,
+                          workspace_name: str = None,
                           endpoint: str = None) -> List[Dict[str, Union[str, int, float, list, Dict]]]:
+    # return an empty list if workspace triad is not available.
+    if not subscription_id or not resource_group_name or not workspace_name:
+        return []
+
     deployment_default_list = [{
         "value": DEPLOYMENT_DEFAULT,
         "display_value": DEPLOYMENT_DEFAULT,
diff --git a/src/promptflow-tools/promptflow/tools/openai.py b/src/promptflow-tools/promptflow/tools/openai.py
index fccc8187f0c..64f453c4d37 100644
--- a/src/promptflow-tools/promptflow/tools/openai.py
+++ b/src/promptflow-tools/promptflow/tools/openai.py
@@ -1,4 +1,5 @@
 from enum import Enum
+from typing import Union
 from promptflow.tools.common import render_jinja_template, handle_openai_error, \
     parse_chat, to_bool, validate_functions, process_function_call, \
     post_process_chat_api_response, init_openai_client
@@ -6,7 +7,7 @@
 # Avoid circular dependencies: Use import 'from promptflow._internal' instead of 'from promptflow'
 # since the code here is in promptflow namespace as well
 from promptflow._internal import ToolProvider, tool, register_apis
-from promptflow.connections import OpenAIConnection
+from promptflow.connections import OpenAIConnection, ServerlessConnection
 from promptflow.contracts.types import PromptTemplate
 
 
@@ -22,7 +23,7 @@ class Engine(str, Enum):
 
 
 class OpenAI(ToolProvider):
-    def __init__(self, connection: OpenAIConnection):
+    def __init__(self, connection: Union[OpenAIConnection, ServerlessConnection]):
         super().__init__()
         self._client = init_openai_client(connection)
 
@@ -122,14 +123,10 @@ def chat(
             "top_p": float(top_p),
             "n": int(n),
             "stream": stream,
-            "stop": stop if stop else None,
             "max_tokens": int(max_tokens) if max_tokens is not None and str(max_tokens).lower() != "inf" else None,
             "presence_penalty": float(presence_penalty),
             "frequency_penalty": float(frequency_penalty),
-            "logit_bias": logit_bias,
             "user": user,
-            "response_format": response_format,
-            "seed": seed,
         }
 
         if functions is not None:
@@ -137,6 +134,18 @@ def chat(
             params["functions"] = functions
             params["function_call"] = process_function_call(function_call)
 
+        # to avoid vision model validation error for empty param values.
+        if stop:
+            params["stop"] = stop
+        if max_tokens is not None and str(max_tokens).lower() != "inf":
+            params["max_tokens"] = int(max_tokens)
+        if logit_bias:
+            params["logit_bias"] = logit_bias
+        if response_format:
+            params["response_format"] = response_format
+        if seed is not None:
+            params["seed"] = seed
+
         completion = self._client.chat.completions.create(**params)
         return post_process_chat_api_response(completion, stream, functions)
 
diff --git a/src/promptflow-tools/promptflow/version.txt b/src/promptflow-tools/promptflow/version.txt
index 7b49cf1d819..af63e4ae48b 100644
--- a/src/promptflow-tools/promptflow/version.txt
+++ b/src/promptflow-tools/promptflow/version.txt
@@ -1 +1 @@
-VERSION = "1.3.0"
+VERSION = "1.4.0"
diff --git a/src/promptflow-tools/tests/conftest.py b/src/promptflow-tools/tests/conftest.py
index 5e0375c2950..f3a1b7e225d 100644
--- a/src/promptflow-tools/tests/conftest.py
+++ b/src/promptflow-tools/tests/conftest.py
@@ -13,6 +13,7 @@
 from promptflow.connections import CustomConnection, OpenAIConnection, SerpConnection
 from promptflow.contracts.multimedia import Image
 from promptflow.tools.aoai import AzureOpenAI
+from promptflow.tools.aoai_gpt4v import AzureOpenAI as AzureOpenAIVision
 
 PROMOTFLOW_ROOT = Path(__file__).absolute().parents[1]
 CONNECTION_FILE = (PROMOTFLOW_ROOT / "connections.json").resolve().absolute().as_posix()
@@ -32,12 +33,23 @@ def azure_open_ai_connection():
     return ConnectionManager().get("azure_open_ai_connection")
 
 
+@pytest.fixture
+def azure_open_ai_connection_meid():
+    return ConnectionManager().get("azure_open_ai_connection_meid")
+
+
 @pytest.fixture
 def aoai_provider(azure_open_ai_connection) -> AzureOpenAI:
     aoai_provider = AzureOpenAI(azure_open_ai_connection)
     return aoai_provider
 
 
+@pytest.fixture
+def aoai_vision_provider(azure_open_ai_connection) -> AzureOpenAIVision:
+    aoai_provider = AzureOpenAIVision(azure_open_ai_connection)
+    return aoai_provider
+
+
 @pytest.fixture
 def open_ai_connection():
     return ConnectionManager().get("open_ai_connection")
diff --git a/src/promptflow-tools/tests/test_aoai.py b/src/promptflow-tools/tests/test_aoai.py
index a231da987e6..73abe56bf18 100644
--- a/src/promptflow-tools/tests/test_aoai.py
+++ b/src/promptflow-tools/tests/test_aoai.py
@@ -257,3 +257,15 @@ def test_aoai_chat_with_response_format_text_mode(
             response_format={"type": "text"}
         )
         assert "Product X".lower() in result.lower()
+
+    def test_aoai_with_vision_model(self, azure_open_ai_connection):
+        # The issue https://github.com/microsoft/promptflow/issues/1683 is fixed
+        result = chat(
+            connection=azure_open_ai_connection,
+            prompt="user:\nhello",
+            deployment_name="gpt-4v",
+            stop=None,
+            logit_bias={}
+        )
+
+        assert "Hello".lower() in result.lower()
diff --git a/src/promptflow-tools/tests/test_aoai_gptv.py b/src/promptflow-tools/tests/test_aoai_gptv.py
index d7c0c4d4c01..e47c6e7999d 100644
--- a/src/promptflow-tools/tests/test_aoai_gptv.py
+++ b/src/promptflow-tools/tests/test_aoai_gptv.py
@@ -1,210 +1,14 @@
 import pytest
 from unittest.mock import patch
 
-from promptflow.tools.aoai_gpt4v import AzureOpenAI, ListDeploymentsError, ParseConnectionError, \
-    _parse_resource_id, list_deployment_names, GPT4V_VERSION
-
-
-DEFAULT_SUBSCRIPTION_ID = "sub"
-DEFAULT_RESOURCE_GROUP_NAME = "rg"
-DEFAULT_WORKSPACE_NAME = "ws"
-DEFAULT_ACCOUNT = "account"
-DEFAULT_CONNECTION = "conn"
-
-
-class CustomException(Exception):
-    def __init__(self, message, status_code):
-        super().__init__(message)
-        self.status_code = status_code
-
-
-class Model:
-    def __init__(self, name, version):
-        self.name = name
-        self.version = version
-
-
-class Properties:
-    def __init__(self, name, version):
-        self.model = Model(name, version)
-
-
-class Deployment:
-    def __init__(self, name, model_name, version):
-        self.name = name
-        self.properties = Properties(model_name, version)
-
-
-@pytest.fixture
-def azure_openai_provider(azure_open_ai_connection) -> AzureOpenAI:
-    return AzureOpenAI(azure_open_ai_connection)
-
-
-def mock_build_connection_dict_func1(**kwargs):
-    from promptflow.azure.operations._arm_connection_operations import OpenURLFailedUserError
-
-    raise OpenURLFailedUserError
-
-
-def mock_build_connection_dict_func2(**kwargs):
-    return {"value" : {"resource_id": "abc"}}
-
-
-def mock_build_connection_dict_func3(**kwargs):
-    resource_id = (
-        f"/subscriptions/{DEFAULT_SUBSCRIPTION_ID}/resourceGroups/{DEFAULT_RESOURCE_GROUP_NAME}"
-        f"/providers/Microsoft.CognitiveServices/accounts/{DEFAULT_ACCOUNT}"
-    )
-    return {"value" : {"resource_id": resource_id}}
-
-
-def test_parse_resource_id():
-    sub = "dummy_sub"
-    rg = "dummy_rg"
-    account = "dummy_account"
-    resource_id = (
-        f"/subscriptions/{sub}/resourceGroups/{rg}/providers/"
-        f"Microsoft.CognitiveServices/accounts/{account}"
-    )
-    parsed_sub, parsed_rg, parsed_account = _parse_resource_id(resource_id)
-    assert sub == parsed_sub and rg == parsed_rg and account == parsed_account
-
-
-@pytest.mark.parametrize(
-        "resource_id, error_message",
-        [
-            ("", "Connection resourceId format invalid, cur resourceId is "),
-            ("a/b/c/d", "Connection resourceId format invalid, cur resourceId is a/b/c/d"),
-        ],
-    )
-def test_parse_resource_id_with_error(resource_id, error_message):
-    with pytest.raises(ParseConnectionError, match=error_message):
-        _parse_resource_id(resource_id)
-
-
-def test_list_deployment_names_with_conn_error(monkeypatch):
-    from promptflow.azure.operations._arm_connection_operations import ArmConnectionOperations
-
-    monkeypatch.setattr(
-        ArmConnectionOperations,
-        "_build_connection_dict",
-        mock_build_connection_dict_func1
-    )
-    res = list_deployment_names(
-        DEFAULT_SUBSCRIPTION_ID,
-        DEFAULT_RESOURCE_GROUP_NAME,
-        DEFAULT_WORKSPACE_NAME,
-        DEFAULT_CONNECTION
-    )
-    assert res == []
-
-
-def test_list_deployment_names_with_wrong_connection_id(monkeypatch):
-    from promptflow.azure.operations._arm_connection_operations import ArmConnectionOperations
-
-    monkeypatch.setattr(
-        ArmConnectionOperations,
-        "_build_connection_dict",
-        mock_build_connection_dict_func2
-    )
-    with pytest.raises(ListDeploymentsError):
-        list_deployment_names(
-            DEFAULT_SUBSCRIPTION_ID,
-            DEFAULT_RESOURCE_GROUP_NAME,
-            DEFAULT_WORKSPACE_NAME,
-            DEFAULT_CONNECTION
-        )
-
-
-def test_list_deployment_names_with_permission_issue(monkeypatch):
-    from promptflow.azure.operations._arm_connection_operations import ArmConnectionOperations
-
-    monkeypatch.setattr(
-        ArmConnectionOperations,
-        "_build_connection_dict",
-        mock_build_connection_dict_func3
-    )
-    with patch('azure.mgmt.cognitiveservices.CognitiveServicesManagementClient') as mock:
-        mock.side_effect = CustomException("", 403)
-        with pytest.raises(ListDeploymentsError) as excinfo:
-            list_deployment_names(
-                DEFAULT_SUBSCRIPTION_ID,
-                DEFAULT_RESOURCE_GROUP_NAME,
-                DEFAULT_WORKSPACE_NAME,
-                DEFAULT_CONNECTION
-            )
-        assert "Failed to list deployments due to permission issue" in str(excinfo.value)
-
-
-def test_list_deployment_names(monkeypatch):
-    from promptflow.azure.operations._arm_connection_operations import ArmConnectionOperations
-    from azure.ai.ml._azure_environments import AzureEnvironments
-
-    monkeypatch.setattr(
-        ArmConnectionOperations,
-        "_build_connection_dict",
-        mock_build_connection_dict_func3
-    )
-    with (
-        patch('azure.ai.ml._azure_environments._get_default_cloud_name') as mock_cloud_name,
-        patch('azure.mgmt.cognitiveservices.CognitiveServicesManagementClient') as mock
-    ):
-        mock_cloud_name.return_value = AzureEnvironments.ENV_DEFAULT
-        instance = mock.return_value
-        instance.deployments.list.return_value = {
-            Deployment("deployment1", "model1", GPT4V_VERSION),
-            Deployment("deployment2", "model2", "version2")
-        }
-        res = list_deployment_names(
-            DEFAULT_SUBSCRIPTION_ID,
-            DEFAULT_RESOURCE_GROUP_NAME,
-            DEFAULT_WORKSPACE_NAME,
-            DEFAULT_CONNECTION
-        )
-        assert len(res) == 1
-        assert res[0].get("value") == "deployment1"
-        assert res[0].get("display_value") == "deployment1"
-
-
-def test_list_deployment_names_sovereign_credential(monkeypatch):
-    from promptflow.azure.operations._arm_connection_operations import ArmConnectionOperations
-    from azure.ai.ml._azure_environments import AzureEnvironments
-
-    monkeypatch.setattr(
-        ArmConnectionOperations,
-        "_build_connection_dict",
-        mock_build_connection_dict_func3
-    )
-    with (
-        patch('azure.ai.ml._azure_environments._get_default_cloud_name') as mock_cloud_name,
-        patch('azure.ai.ml._azure_environments._get_cloud') as mock_cloud,
-        patch('azure.identity.DefaultAzureCredential') as mock_cre,
-        patch('azure.mgmt.cognitiveservices.CognitiveServicesManagementClient') as mock
-    ):
-        mock_cloud_name.return_value = AzureEnvironments.ENV_CHINA
-        cloud = mock_cloud.return_value
-        cloud.get.return_value = "authority"
-        mock_cre.return_value = "credential"
-        instance = mock.return_value
-        instance.deployments.list.return_value = {
-            Deployment("deployment1", "model1", GPT4V_VERSION),
-            Deployment("deployment2", "model2", "version2")
-        }
-        res = list_deployment_names(
-            DEFAULT_SUBSCRIPTION_ID,
-            DEFAULT_RESOURCE_GROUP_NAME,
-            DEFAULT_WORKSPACE_NAME,
-            DEFAULT_CONNECTION
-        )
-        assert len(res) == 1
-        assert res[0].get("value") == "deployment1"
-        assert res[0].get("display_value") == "deployment1"
+from promptflow.tools.aoai_gpt4v import list_deployment_names
+from tests.utils import Deployment
 
 
 @pytest.mark.usefixtures("use_secrets_config_file")
 class TestAzureOpenAIGPT4V:
-    def test_openai_gpt4v_chat(self, azure_openai_provider, example_prompt_template_with_image, example_image):
-        result = azure_openai_provider.chat(
+    def test_openai_gpt4v_chat(self, aoai_vision_provider, example_prompt_template_with_image, example_image):
+        result = aoai_vision_provider.chat(
             prompt=example_prompt_template_with_image,
             deployment_name="gpt-4v",
             max_tokens=480,
@@ -215,10 +19,10 @@ def test_openai_gpt4v_chat(self, azure_openai_provider, example_prompt_template_
         )
         assert "10" == result
         # verify if openai built-in retry mechanism is disabled
-        assert azure_openai_provider._client.max_retries == 0
+        assert aoai_vision_provider._client.max_retries == 0
 
-    def test_openai_gpt4v_stream_chat(self, azure_openai_provider, example_prompt_template_with_image, example_image):
-        result = azure_openai_provider.chat(
+    def test_openai_gpt4v_stream_chat(self, aoai_vision_provider, example_prompt_template_with_image, example_image):
+        result = aoai_vision_provider.chat(
             prompt=example_prompt_template_with_image,
             deployment_name="gpt-4v",
             max_tokens=480,
@@ -235,10 +39,10 @@ def test_openai_gpt4v_stream_chat(self, azure_openai_provider, example_prompt_te
                 break
         assert "10" == answer
 
-    def test_correctly_pass_params(self, azure_openai_provider, example_prompt_template_with_image, example_image):
+    def test_correctly_pass_params(self, aoai_vision_provider, example_prompt_template_with_image, example_image):
         seed_value = 123
-        with patch.object(azure_openai_provider._client.chat.completions, 'create') as mock_create:
-            azure_openai_provider.chat(
+        with patch.object(aoai_vision_provider._client.chat.completions, 'create') as mock_create:
+            aoai_vision_provider.chat(
                 prompt=example_prompt_template_with_image,
                 deployment_name="gpt-4v",
                 max_tokens=480,
@@ -250,3 +54,15 @@ def test_correctly_pass_params(self, azure_openai_provider, example_prompt_templ
             mock_create.assert_called_once()
             called_with_params = mock_create.call_args[1]
             assert called_with_params['seed'] == seed_value
+
+    def test_list_deployment_names(self):
+        with patch('promptflow.tools.aoai_gpt4v.list_deployment_connections') as mock_list:
+            mock_list.return_value = {
+                Deployment("deployment1", "model1", "vision-preview"),
+                Deployment("deployment2", "model2", "version2")
+            }
+
+            res = list_deployment_names("sub", "rg", "ws", "con")
+            assert len(res) == 1
+            assert res[0].get("value") == "deployment1"
+            assert res[0].get("display_value") == "deployment1"
diff --git a/src/promptflow-tools/tests/test_common.py b/src/promptflow-tools/tests/test_common.py
index 098f1e1a6ab..8a0032bff46 100644
--- a/src/promptflow-tools/tests/test_common.py
+++ b/src/promptflow-tools/tests/test_common.py
@@ -1,10 +1,38 @@
-import pytest
+from unittest.mock import patch
 
-from promptflow.connections import AzureOpenAIConnection, OpenAIConnection
-from promptflow.contracts.multimedia import Image
+import pytest
 from promptflow.tools.common import ChatAPIInvalidFunctions, validate_functions, process_function_call, \
     parse_chat, find_referenced_image_set, preprocess_template_string, convert_to_chat_list, ChatInputList, \
+    ParseConnectionError, _parse_resource_id, list_deployment_connections, \
     normalize_connection_config
+from promptflow.tools.exception import ListDeploymentsError
+
+from promptflow.connections import AzureOpenAIConnection, OpenAIConnection
+from promptflow.contracts.multimedia import Image
+from tests.utils import CustomException, Deployment
+
+DEFAULT_SUBSCRIPTION_ID = "sub"
+DEFAULT_RESOURCE_GROUP_NAME = "rg"
+DEFAULT_WORKSPACE_NAME = "ws"
+DEFAULT_ACCOUNT = "account"
+DEFAULT_CONNECTION = "conn"
+
+
+def mock_build_connection_dict_func1(**kwargs):
+    from promptflow.azure.operations._arm_connection_operations import OpenURLFailedUserError
+    raise OpenURLFailedUserError
+
+
+def mock_build_connection_dict_func2(**kwargs):
+    return {"value": {"resource_id": "abc"}}
+
+
+def mock_build_connection_dict_func3(**kwargs):
+    resource_id = (
+        f"/subscriptions/{DEFAULT_SUBSCRIPTION_ID}/resourceGroups/{DEFAULT_RESOURCE_GROUP_NAME}"
+        f"/providers/Microsoft.CognitiveServices/accounts/{DEFAULT_ACCOUNT}"
+    )
+    return {"value": {"resource_id": resource_id}}
 
 
 class TestCommon:
@@ -155,6 +183,138 @@ def test_convert_to_chat_list(self, input_data, expected_output):
         actual_result = convert_to_chat_list(input_data)
         assert actual_result == expected_output
 
+    def test_parse_resource_id(self):
+        sub = "dummy_sub"
+        rg = "dummy_rg"
+        account = "dummy_account"
+        resource_id = (
+            f"/subscriptions/{sub}/resourceGroups/{rg}/providers/"
+            f"Microsoft.CognitiveServices/accounts/{account}"
+        )
+        parsed_sub, parsed_rg, parsed_account = _parse_resource_id(resource_id)
+        assert sub == parsed_sub and rg == parsed_rg and account == parsed_account
+
+    @pytest.mark.parametrize(
+        "resource_id, error_message",
+        [
+            ("", "Connection resourceId format invalid, cur resourceId is "),
+            ("a/b/c/d", "Connection resourceId format invalid, cur resourceId is a/b/c/d"),
+        ],
+    )
+    def test_parse_resource_id_with_error(self, resource_id, error_message):
+        with pytest.raises(ParseConnectionError, match=error_message):
+            _parse_resource_id(resource_id)
+
+    def test_list_deployment_connections_with_conn_error(self, monkeypatch):
+        from promptflow.azure.operations._arm_connection_operations import ArmConnectionOperations
+
+        monkeypatch.setattr(
+            ArmConnectionOperations,
+            "_build_connection_dict",
+            mock_build_connection_dict_func1
+        )
+        res = list_deployment_connections(
+            DEFAULT_SUBSCRIPTION_ID,
+            DEFAULT_RESOURCE_GROUP_NAME,
+            DEFAULT_WORKSPACE_NAME,
+            DEFAULT_CONNECTION
+        )
+        assert res is None
+
+    def test_list_deployment_connections_with_wrong_connection_id(self, monkeypatch):
+        from promptflow.azure.operations._arm_connection_operations import ArmConnectionOperations
+
+        monkeypatch.setattr(
+            ArmConnectionOperations,
+            "_build_connection_dict",
+            mock_build_connection_dict_func2
+        )
+        with pytest.raises(ListDeploymentsError):
+            list_deployment_connections(
+                DEFAULT_SUBSCRIPTION_ID,
+                DEFAULT_RESOURCE_GROUP_NAME,
+                DEFAULT_WORKSPACE_NAME,
+                DEFAULT_CONNECTION,
+            )
+
+    def test_list_deployment_connections_with_permission_issue(self, monkeypatch):
+        from promptflow.azure.operations._arm_connection_operations import ArmConnectionOperations
+
+        monkeypatch.setattr(
+            ArmConnectionOperations,
+            "_build_connection_dict",
+            mock_build_connection_dict_func3
+        )
+        with patch('azure.mgmt.cognitiveservices.CognitiveServicesManagementClient') as mock:
+            mock.side_effect = CustomException("", 403)
+            with pytest.raises(ListDeploymentsError) as excinfo:
+                list_deployment_connections(
+                    DEFAULT_SUBSCRIPTION_ID,
+                    DEFAULT_RESOURCE_GROUP_NAME,
+                    DEFAULT_WORKSPACE_NAME,
+                    DEFAULT_CONNECTION,
+                )
+            assert "Failed to list deployments due to permission issue" in str(excinfo.value)
+
+    def test_list_deployment_connections(self, monkeypatch):
+        from promptflow.azure.operations._arm_connection_operations import ArmConnectionOperations
+        from azure.ai.ml._azure_environments import AzureEnvironments
+
+        monkeypatch.setattr(
+            ArmConnectionOperations,
+            "_build_connection_dict",
+            mock_build_connection_dict_func3
+        )
+        with (
+            patch('azure.ai.ml._azure_environments._get_default_cloud_name') as mock_cloud_name,
+            patch('azure.mgmt.cognitiveservices.CognitiveServicesManagementClient') as mock
+        ):
+            mock_cloud_name.return_value = AzureEnvironments.ENV_DEFAULT
+            instance = mock.return_value
+            instance.deployments.list.return_value = {
+                Deployment("deployment1", "model1", "vision-preview"),
+                Deployment("deployment2", "model2", "version2")
+            }
+            res = list_deployment_connections(
+                DEFAULT_SUBSCRIPTION_ID,
+                DEFAULT_RESOURCE_GROUP_NAME,
+                DEFAULT_WORKSPACE_NAME,
+                DEFAULT_CONNECTION
+            )
+            assert len(res) == 2
+
+    def test_list_deployment_connections_sovereign_credential(self, monkeypatch):
+        from promptflow.azure.operations._arm_connection_operations import ArmConnectionOperations
+        from azure.ai.ml._azure_environments import AzureEnvironments
+
+        monkeypatch.setattr(
+            ArmConnectionOperations,
+            "_build_connection_dict",
+            mock_build_connection_dict_func3
+        )
+        with (
+            patch('azure.ai.ml._azure_environments._get_default_cloud_name') as mock_cloud_name,
+            patch('azure.ai.ml._azure_environments._get_cloud') as mock_cloud,
+            patch('azure.identity.DefaultAzureCredential') as mock_cre,
+            patch('azure.mgmt.cognitiveservices.CognitiveServicesManagementClient') as mock
+        ):
+            mock_cloud_name.return_value = AzureEnvironments.ENV_CHINA
+            cloud = mock_cloud.return_value
+            cloud.get.return_value = "authority"
+            mock_cre.return_value = "credential"
+            instance = mock.return_value
+            instance.deployments.list.return_value = {
+                Deployment("deployment1", "model1", "vision-preview"),
+                Deployment("deployment2", "model2", "version2")
+            }
+            res = list_deployment_connections(
+                DEFAULT_SUBSCRIPTION_ID,
+                DEFAULT_RESOURCE_GROUP_NAME,
+                DEFAULT_WORKSPACE_NAME,
+                DEFAULT_CONNECTION
+            )
+            assert len(res) == 2
+
     @pytest.mark.parametrize(
         "input_data, expected_output",
         [
diff --git a/src/promptflow-tools/tests/test_handle_openai_error.py b/src/promptflow-tools/tests/test_handle_openai_error.py
index 6ffb41cbd49..1dfe46442b9 100644
--- a/src/promptflow-tools/tests/test_handle_openai_error.py
+++ b/src/promptflow-tools/tests/test_handle_openai_error.py
@@ -1,5 +1,6 @@
 import httpx
 import pytest
+from unittest.mock import patch
 from jinja2.exceptions import TemplateSyntaxError
 from openai import (
     APIConnectionError,
@@ -17,6 +18,7 @@
 from pytest_mock import MockerFixture
 
 from promptflow.exceptions import UserErrorException
+from tests.utils import Deployment
 
 
 @pytest.mark.usefixtures("use_secrets_config_file")
@@ -301,3 +303,33 @@ def test_aoai_invalid_max_tokens(
             )
         assert error_message in exc_info.value.message
         assert exc_info.value.error_codes == error_codes.split("/")
+
+    @pytest.mark.skip("Skip this before we figure out how to make token provider work on github action")
+    def test_authentication_fail_for_aoai_meid_token_connection(self, azure_open_ai_connection_meid):
+        prompt_template = "please complete this sentence: world war II "
+        raw_message = (
+            "please make sure you have proper role assignment on your azure openai resource"
+        )
+        error_codes = "UserError/OpenAIError/AuthenticationError"
+        with pytest.raises(WrappedOpenAIError) as exc_info:
+            chat(azure_open_ai_connection_meid, prompt=f"user:\n{prompt_template}", deployment_name="gpt-35-turbo")
+        assert raw_message in exc_info.value.message
+        assert exc_info.value.error_codes == error_codes.split("/")
+
+    def test_aoai_with_vision_model_extra_fields_error(self, azure_open_ai_connection):
+        with (
+            patch('promptflow.tools.common.get_workspace_triad') as mock_get,
+            patch('promptflow.tools.common.list_deployment_connections') as mock_list,
+            pytest.raises(LLMError) as exc_info
+        ):
+            mock_get.return_value = ("sub", "rg", "ws")
+            mock_list.return_value = {
+                Deployment("gpt-4v", "model1", "vision-preview"),
+                Deployment("deployment2", "model2", "version2")
+            }
+
+            chat(connection=azure_open_ai_connection, prompt="user:\nhello", deployment_name="gpt-4v",
+                 response_format={"type": "text"})
+
+        assert "extra fields not permitted" in exc_info.value.message
+        assert "Please kindly avoid using vision model in LLM tool" in exc_info.value.message
diff --git a/src/promptflow-tools/tests/test_open_model_llm.py b/src/promptflow-tools/tests/test_open_model_llm.py
index 89d12e3981c..80a44066d0b 100644
--- a/src/promptflow-tools/tests/test_open_model_llm.py
+++ b/src/promptflow-tools/tests/test_open_model_llm.py
@@ -102,6 +102,7 @@ def completion_endpoints_provider(endpoints_provider: Dict[str, List[str]]) -> D
     return completion_endpoints
 
 
+@pytest.mark.skip("Skipping - requires new test resources")
 @pytest.mark.usefixtures("use_secrets_config_file")
 class TestOpenModelLLM:
     stateless_os_llm = OpenModelLLM()
diff --git a/src/promptflow-tools/tests/utils.py b/src/promptflow-tools/tests/utils.py
index 21cd90232ef..ce9dc7fd2b3 100644
--- a/src/promptflow-tools/tests/utils.py
+++ b/src/promptflow-tools/tests/utils.py
@@ -11,6 +11,29 @@ def __getattr__(self, item):
         return super().__getattribute__(item)
 
 
+class Deployment:
+    def __init__(self, name, model_name, version):
+        self.name = name
+        self.properties = Properties(model_name, version)
+
+
+class CustomException(Exception):
+    def __init__(self, message, status_code):
+        super().__init__(message)
+        self.status_code = status_code
+
+
+class Model:
+    def __init__(self, name, version):
+        self.name = name
+        self.version = version
+
+
+class Properties:
+    def __init__(self, name, version):
+        self.model = Model(name, version)
+
+
 def is_json_serializable(data, function_name):
     try:
         json.dumps(data)
diff --git a/src/promptflow-tracing/README.md b/src/promptflow-tracing/README.md
new file mode 100644
index 00000000000..ae8fee2ee63
--- /dev/null
+++ b/src/promptflow-tracing/README.md
@@ -0,0 +1,23 @@
+# Prompt flow tracing
+
+[![Python package](https://img.shields.io/pypi/v/promptflow-tracing)](https://pypi.org/project/promptflow-tracing/)
+[![SDK](https://img.shields.io/badge/SDK-reference-blue)](https://microsoft.github.io/promptflow/reference/python-library-reference/promptflow-tracing/promptflow.tracing.html)
+[![License: MIT](https://img.shields.io/github/license/microsoft/promptflow)](https://github.com/microsoft/promptflow/blob/main/LICENSE)
+
+## Introduction
+
+The `promptflow-tracing` package offers tracing capabilities to capture and illustrate the internal execution processes of both DAG flow and Flex flow. It is designed to be compatible with [OpenTelemetry](https://opentelemetry.io/). This makes it a valuable tool for Flex flow developers who use various frameworks (such as langchain, semantic kernel, OpenAI, and various agents) to build LLM-based applications. By using promptflow-tracing, developers can achieve comprehensive observability of their LLM applications.
+
+# Release History
+
+## 1.0.0 (2024.03.21)
+
+- Compatible with promptflow 1.7.0.
+
+## 0.1.0b2 (2024.03.18)
+
+- First preview version.
+
+## 0.1.0b1 (2024.03.08)
+
+- Stub version in PyPI.
diff --git a/src/promptflow/promptflow/tracing/__init__.py b/src/promptflow-tracing/promptflow/tracing/__init__.py
similarity index 79%
rename from src/promptflow/promptflow/tracing/__init__.py
rename to src/promptflow-tracing/promptflow/tracing/__init__.py
index f3c7fc9506b..d2cb2ebf088 100644
--- a/src/promptflow/promptflow/tracing/__init__.py
+++ b/src/promptflow-tracing/promptflow/tracing/__init__.py
@@ -6,5 +6,6 @@
 
 from ._start_trace import start_trace
 from ._trace import trace
+from ._version import __version__
 
-__all__ = ["start_trace", "trace"]
+__all__ = ["__version__", "start_trace", "trace"]
diff --git a/src/promptflow-tracing/promptflow/tracing/_constants.py b/src/promptflow-tracing/promptflow/tracing/_constants.py
new file mode 100644
index 00000000000..6535957ef99
--- /dev/null
+++ b/src/promptflow-tracing/promptflow/tracing/_constants.py
@@ -0,0 +1,13 @@
+# ---------------------------------------------------------
+# Copyright (c) Microsoft Corporation. All rights reserved.
+# ---------------------------------------------------------
+
+
+class ResourceAttributesFieldName:
+    SERVICE_NAME = "service.name"
+    COLLECTION = "collection"
+
+
+RESOURCE_ATTRIBUTES_SERVICE_NAME = "promptflow"
+
+PF_TRACING_SKIP_LOCAL_SETUP_ENVIRON = "PF_TRACING_SKIP_LOCAL_SETUP"
diff --git a/src/promptflow-tracing/promptflow/tracing/_integrations/__init__.py b/src/promptflow-tracing/promptflow/tracing/_integrations/__init__.py
new file mode 100644
index 00000000000..e69de29bb2d
diff --git a/src/promptflow/promptflow/tracing/_openai_injector.py b/src/promptflow-tracing/promptflow/tracing/_integrations/_openai_injector.py
similarity index 75%
rename from src/promptflow/promptflow/tracing/_openai_injector.py
rename to src/promptflow-tracing/promptflow/tracing/_integrations/_openai_injector.py
index f9946ef5407..5faa7630830 100644
--- a/src/promptflow/promptflow/tracing/_openai_injector.py
+++ b/src/promptflow-tracing/promptflow/tracing/_integrations/_openai_injector.py
@@ -12,27 +12,25 @@
 
 import openai
 
-from promptflow._core.operation_context import OperationContext
-
-from ._trace import _traced_async, _traced_sync
-from .contracts.trace import TraceType
-
+from .._operation_context import OperationContext
+from .._trace import _traced_async, _traced_sync
+from ..contracts.trace import TraceType
 
 USER_AGENT_HEADER = "x-ms-useragent"
 PROMPTFLOW_HEADER = "ms-azure-ai-promptflow"
 IS_LEGACY_OPENAI = version("openai").startswith("0.")
 
 
-def inject_function_async(args_to_ignore=None, trace_type=TraceType.LLM):
+def inject_function_async(args_to_ignore=None, trace_type=TraceType.LLM, name=None):
     def decorator(func):
-        return _traced_async(func, args_to_ignore=args_to_ignore, trace_type=trace_type)
+        return _traced_async(func, args_to_ignore=args_to_ignore, trace_type=trace_type, name=name)
 
     return decorator
 
 
-def inject_function_sync(args_to_ignore=None, trace_type=TraceType.LLM):
+def inject_function_sync(args_to_ignore=None, trace_type=TraceType.LLM, name=None):
     def decorator(func):
-        return _traced_sync(func, args_to_ignore=args_to_ignore, trace_type=trace_type)
+        return _traced_sync(func, args_to_ignore=args_to_ignore, trace_type=trace_type, name=name)
 
     return decorator
 
@@ -46,6 +44,7 @@ def get_aoai_telemetry_headers() -> dict:
     Returns:
         A dictionary of http headers.
     """
+
     # get promptflow info from operation context
     operation_context = OperationContext.get_instance()
     tracking_info = operation_context._get_tracking_info()
@@ -91,60 +90,67 @@ def wrapper(*args, **kwargs):
     return wrapper
 
 
-def inject_async(f, trace_type):
+def inject_async(f, trace_type, name):
     wrapper_fun = inject_operation_headers(
-        (inject_function_async(["api_key", "headers", "extra_headers"], trace_type)(f))
+        (inject_function_async(["api_key", "headers", "extra_headers"], trace_type, name)(f))
     )
     wrapper_fun._original = f
     return wrapper_fun
 
 
-def inject_sync(f, trace_type):
+def inject_sync(f, trace_type, name):
     wrapper_fun = inject_operation_headers(
-        (inject_function_sync(["api_key", "headers", "extra_headers"], trace_type)(f))
+        (inject_function_sync(["api_key", "headers", "extra_headers"], trace_type, name)(f))
     )
     wrapper_fun._original = f
     return wrapper_fun
 
 
+def _legacy_openai_apis():
+    sync_apis = (
+        ("openai", "Completion", "create", TraceType.LLM, "openai_completion_legacy"),
+        ("openai", "ChatCompletion", "create", TraceType.LLM, "openai_chat_legacy"),
+        ("openai", "Embedding", "create", TraceType.EMBEDDING, "openai_embedding_legacy"),
+    )
+    async_apis = (
+        ("openai", "Completion", "acreate", TraceType.LLM, "openai_completion_legacy"),
+        ("openai", "ChatCompletion", "acreate", TraceType.LLM, "openai_chat_legacy"),
+        ("openai", "Embedding", "acreate", TraceType.EMBEDDING, "openai_embedding_legacy"),
+    )
+    return sync_apis, async_apis
+
+
+def _openai_apis():
+    sync_apis = (
+        ("openai.resources.chat", "Completions", "create", TraceType.LLM, "openai_chat"),
+        ("openai.resources", "Completions", "create", TraceType.LLM, "openai_completion"),
+        ("openai.resources", "Embeddings", "create", TraceType.EMBEDDING, "openai_embeddings"),
+    )
+    async_apis = (
+        ("openai.resources.chat", "AsyncCompletions", "create", TraceType.LLM, "openai_chat_async"),
+        ("openai.resources", "AsyncCompletions", "create", TraceType.LLM, "openai_completion_async"),
+        ("openai.resources", "AsyncEmbeddings", "create", TraceType.EMBEDDING, "openai_embeddings_async"),
+    )
+    return sync_apis, async_apis
+
+
 def _openai_api_list():
     if IS_LEGACY_OPENAI:
-        sync_apis = (
-            ("openai", "Completion", "create", TraceType.LLM),
-            ("openai", "ChatCompletion", "create", TraceType.LLM),
-            ("openai", "Embedding", "create", TraceType.EMBEDDING),
-        )
-
-        async_apis = (
-            ("openai", "Completion", "acreate", TraceType.LLM),
-            ("openai", "ChatCompletion", "acreate", TraceType.LLM),
-            ("openai", "Embedding", "acreate", TraceType.EMBEDDING),
-        )
+        sync_apis, async_apis = _legacy_openai_apis()
     else:
-        sync_apis = (
-            ("openai.resources.chat", "Completions", "create", TraceType.LLM),
-            ("openai.resources", "Completions", "create", TraceType.LLM),
-            ("openai.resources", "Embeddings", "create", TraceType.EMBEDDING),
-        )
-
-        async_apis = (
-            ("openai.resources.chat", "AsyncCompletions", "create", TraceType.LLM),
-            ("openai.resources", "AsyncCompletions", "create", TraceType.LLM),
-            ("openai.resources", "AsyncEmbeddings", "create", TraceType.EMBEDDING),
-        )
-
+        sync_apis, async_apis = _openai_apis()
     yield sync_apis, inject_sync
     yield async_apis, inject_async
 
 
 def _generate_api_and_injector(apis):
     for apis, injector in apis:
-        for module_name, class_name, method_name, trace_type in apis:
+        for module_name, class_name, method_name, trace_type, name in apis:
             try:
                 module = importlib.import_module(module_name)
                 api = getattr(module, class_name)
                 if hasattr(api, method_name):
-                    yield api, method_name, trace_type, injector
+                    yield api, method_name, trace_type, injector, name
             except AttributeError as e:
                 # Log the attribute exception with the missing class information
                 logging.warning(
@@ -177,10 +183,10 @@ def inject_openai_api():
     2. Updates the openai api configs from environment variables.
     """
 
-    for api, method, trace_type, injector in available_openai_apis_and_injectors():
+    for api, method, trace_type, injector, name in available_openai_apis_and_injectors():
         # Check if the create method of the openai_api class has already been modified
         if not hasattr(getattr(api, method), "_original"):
-            setattr(api, method, injector(getattr(api, method), trace_type))
+            setattr(api, method, injector(getattr(api, method), trace_type, name))
 
     if IS_LEGACY_OPENAI:
         # For the openai versions lower than 1.0.0, it reads api configs from environment variables only at
@@ -199,6 +205,6 @@ def recover_openai_api():
     """This function restores the original create methods of the OpenAI API classes
     by assigning them back from the _original attributes of the modified methods.
     """
-    for api, method, _, _ in available_openai_apis_and_injectors():
+    for api, method, _, _, _ in available_openai_apis_and_injectors():
         if hasattr(getattr(api, method), "_original"):
             setattr(api, method, getattr(getattr(api, method), "_original"))
diff --git a/src/promptflow/promptflow/_utils/openai_metrics_calculator.py b/src/promptflow-tracing/promptflow/tracing/_openai_utils.py
similarity index 71%
rename from src/promptflow/promptflow/_utils/openai_metrics_calculator.py
rename to src/promptflow-tracing/promptflow/tracing/_openai_utils.py
index 7bf269ad1de..c0ea789b229 100644
--- a/src/promptflow/promptflow/_utils/openai_metrics_calculator.py
+++ b/src/promptflow-tracing/promptflow/tracing/_openai_utils.py
@@ -1,8 +1,7 @@
 import tiktoken
+from abc import ABC, abstractmethod
 from importlib.metadata import version
 
-from promptflow.exceptions import UserErrorException
-
 IS_LEGACY_OPENAI = version("openai").startswith("0.")
 
 
@@ -39,6 +38,7 @@ def _need_collect_metrics(self, api_call: dict):
         return True
 
     def _get_openai_metrics_for_signal_api(self, api_call: dict):
+        inputs = api_call.get("inputs")
         output = api_call.get("output")
         if isinstance(output, dict):
             usage = output.get("usage")
@@ -57,23 +57,23 @@ def _get_openai_metrics_for_signal_api(self, api_call: dict):
         #   https://github.com/openai/openai-python/blob/main/src/openai/resources/chat/completions.py
         #   https://github.com/openai/openai-python/blob/main/src/openai/resources/completions.py
         if (
-            name == "openai.api_resources.chat_completion.ChatCompletion.create"
-            or name == "openai.resources.chat.completions.Completions.create"  # openai v1
+            name == "openai_chat_legacy"
+            or name == "openai_chat"  # openai v1
         ):
-            return self._get_openai_metrics_for_chat_api(api_call)
+            return self.get_openai_metrics_for_chat_api(inputs, output)
         elif (
-            name == "openai.api_resources.completion.Completion.create"
-            or name == "openai.resources.completions.Completions.create"  # openai v1
+            name == "openai_completion_legacy"
+            or name == "openai_completion"  # openai v1
         ):
-            return self._get_openai_metrics_for_completion_api(api_call)
+            return self.get_openai_metrics_for_completion_api(inputs, output)
         else:
-            raise CalculatingMetricsError(f"Calculating metrics for api {name} is not supported.")
+            self._log_warning(f"Calculating metrics for api {name} is not supported.")
 
     def _try_get_model(self, inputs, output):
         if IS_LEGACY_OPENAI:
             api_type = inputs.get("api_type")
             if not api_type:
-                raise CalculatingMetricsError("Cannot calculate metrics for none or empty api_type.")
+                self._log_warning("Cannot calculate metrics for none or empty api_type.")
             if api_type == "azure":
                 model = inputs.get("engine")
             else:
@@ -82,19 +82,21 @@ def _try_get_model(self, inputs, output):
             if isinstance(output, dict):
                 model = output.get("model")
             else:
-                model = output[0].model if len(output) > 0 and hasattr(output[0], "model") else None
+                model = None
+                for chunk in output:
+                    if hasattr(chunk, "model"):
+                        model = chunk.model
+                        break
             if not model:
                 model = inputs.get("model")
         if not model:
-            raise CalculatingMetricsError(
+            raise self._log_warning(
                 "Cannot get a valid model to calculate metrics. "
                 "Please specify a engine for AzureOpenAI API or a model for OpenAI API."
             )
         return model
 
-    def _get_openai_metrics_for_chat_api(self, api_call):
-        inputs = api_call.get("inputs")
-        output = api_call.get("output")
+    def get_openai_metrics_for_chat_api(self, inputs, output):
         metrics = {}
         enc, tokens_per_message, tokens_per_name = self._get_encoding_for_chat_api(self._try_get_model(inputs, output))
         metrics["prompt_tokens"] = self._get_prompt_tokens_from_messages(
@@ -124,7 +126,7 @@ def _get_encoding_for_chat_api(self, model):
             tokens_per_message = 3
             tokens_per_name = 1
         else:
-            raise CalculatingMetricsError(f"Calculating metrics for model {model} is not supported.")
+            self._log_warning(f"Calculating metrics for model {model} is not supported.")
         return enc, tokens_per_message, tokens_per_name
 
     def _get_prompt_tokens_from_messages(self, messages, enc, tokens_per_message, tokens_per_name):
@@ -151,10 +153,8 @@ def _get_completion_tokens_for_chat_api(self, output, enc):
                             completion_tokens += len(enc.encode(content))
         return completion_tokens
 
-    def _get_openai_metrics_for_completion_api(self, api_call: dict):
+    def get_openai_metrics_for_completion_api(self, inputs, output):
         metrics = {}
-        inputs = api_call.get("inputs")
-        output = api_call.get("output")
         enc = self._get_encoding_for_completion_api(self._try_get_model(inputs, output))
         metrics["prompt_tokens"] = 0
         prompt = inputs.get("prompt")
@@ -201,7 +201,63 @@ def _log_warning(self, msg):
             self._logger.warning(msg)
 
 
-class CalculatingMetricsError(UserErrorException):
-    """The exception that is raised when calculating metrics failed."""
+class OpenAIResponseParser(ABC):
+    def __init__(self, response, is_chat):
+        self._response = response
+        self._is_chat = is_chat
+
+    @property
+    def model(self):
+        for item in self._response:
+            if hasattr(item, "model"):
+                return item.model
+        return None
+
+    @property
+    def is_chat(self):
+        return self._is_chat
+
+    @staticmethod
+    def init_parser(response):
+        if IS_LEGACY_OPENAI:
+            return None
+
+        from openai.types.chat.chat_completion_chunk import ChatCompletionChunk
+        from openai.types.completion import Completion
+
+        if response and isinstance(response[0], ChatCompletionChunk):
+            return OpenAIChatResponseParser(response, True)
+        elif response and isinstance(response[0], Completion):
+            return OpenAICompletionResponseParser(response, False)
+        else:
+            raise NotImplementedError("Only support 'ChatCompletionChunk' and 'Completion' response.")
+
+    @abstractmethod
+    def get_generated_message(self):
+        pass
+
+
+class OpenAIChatResponseParser(OpenAIResponseParser):
+    def __init__(self, response, is_chat):
+        super().__init__(response, is_chat)
+
+    def get_generated_message(self):
+        chunks = []
+        role = "assistant"
+        for item in self._response:
+            if item.choices and item.choices[0].delta.content:
+                chunks.append(item.choices[0].delta.content)
+                role = item.choices[0].delta.role or role
+        return {"content": "".join(chunks), "role": role} if chunks else None
+
+
+class OpenAICompletionResponseParser(OpenAIResponseParser):
+    def __init__(self, response, is_chat):
+        super().__init__(response, is_chat)
 
-    pass
+    def get_generated_message(self):
+        chunks = []
+        for item in self._response:
+            if item.choices and item.choices[0].text:
+                chunks.append(item.choices[0].text)
+        return "".join(chunks) if chunks else None
diff --git a/src/promptflow/promptflow/_core/operation_context.py b/src/promptflow-tracing/promptflow/tracing/_operation_context.py
similarity index 67%
rename from src/promptflow/promptflow/_core/operation_context.py
rename to src/promptflow-tracing/promptflow/tracing/_operation_context.py
index 6bb146c5bdc..ecde2f094cb 100644
--- a/src/promptflow/promptflow/_core/operation_context.py
+++ b/src/promptflow-tracing/promptflow/tracing/_operation_context.py
@@ -3,9 +3,9 @@
 # ---------------------------------------------------------
 import copy
 from contextvars import ContextVar
-from typing import Dict, Mapping
+from typing import Dict
 
-from promptflow._version import VERSION
+from ._version import VERSION
 
 
 class OperationContext(Dict):
@@ -18,13 +18,18 @@ class OperationContext(Dict):
     """
 
     _CONTEXT_KEY = "operation_context"
-    _OTEL_ATTRIBUTES = "_otel_attributes"
     _current_context = ContextVar(_CONTEXT_KEY, default=None)
     USER_AGENT_KEY = "user_agent"
     REQUEST_ID_KEY = "request_id"
-    _DEFAULT_TRACKING_KEYS = {"run_mode", "root_run_id", "flow_id", "batch_input_source"}
+    _DEFAULT_TRACING_KEYS = "_default_tracing_keys"
+    _OTEL_ATTRIBUTES = "_otel_attributes"
     _TRACKING_KEYS = "_tracking_keys"
 
+    def copy(self):
+        ctx = OperationContext(self)
+        ctx[OperationContext._OTEL_ATTRIBUTES] = copy.copy(self._get_otel_attributes())
+        return ctx
+
     def _add_otel_attributes(self, key, value):
         attributes = self.get(OperationContext._OTEL_ATTRIBUTES, {})
         attributes[key] = value
@@ -60,10 +65,14 @@ def get_instance(cls):
             # create a new instance and set it in the current context
             instance = OperationContext()
             cls._current_context.set(instance)
-        if cls._TRACKING_KEYS not in instance:
-            instance[cls._TRACKING_KEYS] = copy.copy(cls._DEFAULT_TRACKING_KEYS)
+        if cls._TRACKING_KEYS not in instance and cls._DEFAULT_TRACING_KEYS in instance:
+            instance[cls._TRACKING_KEYS] = copy.copy(instance[cls._DEFAULT_TRACING_KEYS])
         return instance
 
+    @classmethod
+    def set_instance(cls, instance):
+        cls._current_context.set(instance)
+
     def __setattr__(self, name, value):
         """Set the attribute.
 
@@ -128,7 +137,7 @@ def get_user_agent(self):
         def parts():
             if OperationContext.USER_AGENT_KEY in self:
                 yield self.get(OperationContext.USER_AGENT_KEY)
-            yield f"promptflow/{VERSION}"
+            yield f"promptflow-tracing/{VERSION}"
 
         # strip to avoid leading or trailing spaces, which may cause error when sending request
         ua = " ".join(parts()).strip()
@@ -144,6 +153,9 @@ def append_user_agent(self, user_agent: str):
             user_agent (str): The user agent information to append.
         """
         if OperationContext.USER_AGENT_KEY in self:
+            # TODO: this judgement can be wrong when an user agent is a substring of another,
+            #  e.g. "Mozilla/5.0" and "Mozilla/5.0 (Windows NT 10.0; Win64; x64)"
+            #  however, changing this code may impact existing logic, so won't change it now
             if user_agent not in self.user_agent:
                 self.user_agent = f"{self.user_agent.strip()} {user_agent.strip()}"
         else:
@@ -154,47 +166,14 @@ def get_request_id(self):
             return self.get(OperationContext.REQUEST_ID_KEY)
         return "unknown"
 
-    def set_batch_input_source_from_inputs_mapping(self, inputs_mapping: Mapping[str, str]):
-        """Infer the batch input source from the input mapping and set it in the OperationContext instance.
-
-        This method analyzes the `inputs_mapping` to ascertain the origin of the inputs for a batch operation.
-        The `inputs_mapping` should be a dictionary with keys representing input names and values specifying the sources
-        of these inputs. Inputs can originate from direct data or from the outputs of a previous run.
-
-        The `inputs_mapping` is dictated entirely by the external caller. For more details on column mapping, refer to
-        https://aka.ms/pf/column-mapping. The mapping can include references to both the inputs and outputs of previous
-        runs, using a reserved source name 'run' to indicate such references. However, this method specifically checks
-        for references to outputs of previous runs, which are denoted by values starting with "${run.outputs". When such
-        a reference is found, the `batch_input_source` attribute of the OperationContext instance is set to "Run" to
-        reflect that the batch operation is utilizing outputs from a prior run.
-
-        If no values in the `inputs_mapping` start with "${run.outputs", it is inferred that the inputs do not derive
-        from a previous run, and the `batch_input_source` is set to "Data".
-
-        Examples of `inputs_mapping`:
-            - Referencing a previous run's output:
-                {'input1': '${run.outputs.some_output}', 'input2': 'direct_data'}
-              In this case, 'input1' is sourced from a prior run's output, and 'input2' is from direct data.
-              The `batch_input_source` would be set to "Run".
-
-            - Sourcing directly from data:
-                {'input1': 'data_source1', 'input2': 'data_source2'}
-              Since no values start with "${run.outputs", the `batch_input_source` is set to "Data".
-
-        Args:
-            inputs_mapping (Mapping[str, str]): A dictionary mapping input names to their sources, where the sources
-            can be either direct data or outputs from a previous run. The structure and content of this mapping are
-            entirely under the control of the external caller.
-
-        Returns:
-            None
-        """
-        if inputs_mapping and any(
-            isinstance(value, str) and value.startswith("${run.outputs") for value in inputs_mapping.values()
-        ):
-            self.batch_input_source = "Run"
+    def set_default_tracing_keys(self, keys: set):
+        self[self._DEFAULT_TRACING_KEYS] = keys
+        if not hasattr(self, self._TRACKING_KEYS):
+            self[self._TRACKING_KEYS] = copy.copy(keys)
         else:
-            self.batch_input_source = "Data"
+            for key in keys:
+                if key not in self[self._TRACKING_KEYS]:
+                    self[self._TRACKING_KEYS].add(key)
 
     def get_context_dict(self):
         """Get the context dictionary.
@@ -209,5 +188,5 @@ def get_context_dict(self):
         return dict(self)
 
     def _get_tracking_info(self):
-        keys = getattr(self, self._TRACKING_KEYS, self._DEFAULT_TRACKING_KEYS)
+        keys = getattr(self, self._TRACKING_KEYS, getattr(self, self._DEFAULT_TRACING_KEYS, []))
         return {k: v for k, v in self.items() if k in keys}
diff --git a/src/promptflow-tracing/promptflow/tracing/_start_trace.py b/src/promptflow-tracing/promptflow/tracing/_start_trace.py
new file mode 100644
index 00000000000..98790855de9
--- /dev/null
+++ b/src/promptflow-tracing/promptflow/tracing/_start_trace.py
@@ -0,0 +1,109 @@
+# ---------------------------------------------------------
+# Copyright (c) Microsoft Corporation. All rights reserved.
+# ---------------------------------------------------------
+
+import os
+import typing
+
+from opentelemetry import trace
+from opentelemetry.sdk.environment_variables import OTEL_EXPORTER_OTLP_ENDPOINT
+from opentelemetry.sdk.resources import Resource
+from opentelemetry.sdk.trace import TracerProvider
+
+from ._constants import (
+    PF_TRACING_SKIP_LOCAL_SETUP_ENVIRON,
+    RESOURCE_ATTRIBUTES_SERVICE_NAME,
+    ResourceAttributesFieldName,
+)
+from ._integrations._openai_injector import inject_openai_api
+
+
+def start_trace(
+    *,
+    resource_attributes: typing.Optional[dict] = None,
+    collection: typing.Optional[str] = None,
+    **kwargs,
+):
+    """Promptflow instrumentation.
+
+    Instrument `openai`, and set tracer provider for current process.
+
+    :param resource_attributes: Specify the resource attributes for current process.
+    :type resource_attributes: typing.Optional[dict]
+    :param collection: Specify the collection for current tracing.
+    :type collection: typing.Optional[str]
+    """
+
+    # When PF_TRACING_SKIP_LOCAL_SETUP_ENVIRON is set to true, the start_trace should be skipped.
+    # An example is that user call start_trace at cloud mode. Nothing should happen.
+    if _skip_tracing_local_setup():
+        return
+
+    # prepare resource.attributes and set tracer provider
+    res_attrs = {ResourceAttributesFieldName.SERVICE_NAME: RESOURCE_ATTRIBUTES_SERVICE_NAME}
+    if collection is not None:
+        res_attrs[ResourceAttributesFieldName.COLLECTION] = collection
+    if isinstance(resource_attributes, dict):
+        for attr_key, attr_value in resource_attributes.items():
+            res_attrs[attr_key] = attr_value
+    _set_tracer_provider(res_attrs)
+
+    if _is_devkit_installed():
+        from promptflow._sdk._tracing import start_trace_with_devkit
+
+        start_trace_with_devkit(
+            collection=collection,
+            attrs=kwargs.get("attributes", None),
+            run=kwargs.get("run", None),
+        )
+
+
+def setup_exporter_from_environ() -> None:
+
+    # openai instrumentation
+    inject_openai_api()
+
+    # Ignore all the setup if the endpoint is not set
+    endpoint = os.getenv(OTEL_EXPORTER_OTLP_ENDPOINT)
+    if not endpoint:
+        return
+
+    if _is_devkit_installed():
+        from promptflow._sdk._tracing import setup_exporter_to_pfs
+
+        setup_exporter_to_pfs()
+
+
+def _skip_tracing_local_setup() -> bool:
+    return str(os.getenv(PF_TRACING_SKIP_LOCAL_SETUP_ENVIRON, "false")).lower() == "true"
+
+
+def _is_tracer_provider_set() -> bool:
+    return isinstance(trace.get_tracer_provider(), TracerProvider)
+
+
+def _force_set_tracer_provider(tracer_provider: TracerProvider) -> None:
+    from opentelemetry.trace import _TRACER_PROVIDER_SET_ONCE
+
+    with _TRACER_PROVIDER_SET_ONCE._lock:
+        _TRACER_PROVIDER_SET_ONCE._done = False
+
+    trace.set_tracer_provider(tracer_provider)
+
+
+def _set_tracer_provider(res_attrs: typing.Dict[str, str]) -> None:
+    res = Resource(attributes=res_attrs)
+    tracer_provider = TracerProvider(resource=res)
+    if _is_tracer_provider_set():
+        _force_set_tracer_provider(tracer_provider)
+    else:
+        trace.set_tracer_provider(tracer_provider)
+
+
+def _is_devkit_installed() -> bool:
+    try:
+        from promptflow._sdk._tracing import setup_exporter_to_pfs, start_trace_with_devkit  # noqa: F401
+
+        return True
+    except ImportError:
+        return False
diff --git a/src/promptflow/promptflow/_core/thread_local_singleton.py b/src/promptflow-tracing/promptflow/tracing/_thread_local_singleton.py
similarity index 100%
rename from src/promptflow/promptflow/_core/thread_local_singleton.py
rename to src/promptflow-tracing/promptflow/tracing/_thread_local_singleton.py
diff --git a/src/promptflow/promptflow/tracing/_trace.py b/src/promptflow-tracing/promptflow/tracing/_trace.py
similarity index 66%
rename from src/promptflow/promptflow/tracing/_trace.py
rename to src/promptflow-tracing/promptflow/tracing/_trace.py
index 3f11c874434..180d308ecd3 100644
--- a/src/promptflow/promptflow/tracing/_trace.py
+++ b/src/promptflow-tracing/promptflow/tracing/_trace.py
@@ -12,19 +12,17 @@
 from typing import Callable, List, Optional
 
 import opentelemetry.trace as otel_trace
+from opentelemetry.sdk.trace import ReadableSpan
 from opentelemetry.trace import Link
-from opentelemetry.trace.status import StatusCode
 from opentelemetry.trace.span import NonRecordingSpan
-from opentelemetry.sdk.trace import ReadableSpan
-
-from promptflow._core.generator_proxy import GeneratorProxy
-from promptflow._core.operation_context import OperationContext
-from promptflow._utils.dataclass_serializer import serialize
-from promptflow._utils.tool_utils import get_inputs_for_prompt_template, get_prompt_param_name_from_func
+from opentelemetry.trace.status import StatusCode
 
-from .._utils.utils import default_json_encoder
-from ._tracer import _create_trace_from_function_call, get_node_name_from_context, Tracer
-from .contracts.trace import TraceType
+from ._openai_utils import OpenAIMetricsCalculator, OpenAIResponseParser
+from ._operation_context import OperationContext
+from ._tracer import Tracer, _create_trace_from_function_call, get_node_name_from_context
+from ._utils import get_input_names_for_prompt_template, get_prompt_param_name_from_func, serialize
+from .contracts.generator_proxy import GeneratorProxy
+from .contracts.trace import Trace, TraceType
 
 IS_LEGACY_OPENAI = version("openai").startswith("0.")
 
@@ -45,6 +43,16 @@ def collect_openai_tokens(self, span, output):
                 with self._lock:
                     self._span_id_to_tokens[span_id] = tokens
 
+    def collect_openai_tokens_for_streaming(self, span, inputs, output, is_chat):
+        span_id = span.get_span_context().span_id
+        calculator = OpenAIMetricsCalculator()
+        if is_chat:
+            tokens = calculator.get_openai_metrics_for_chat_api(inputs, output)
+        else:
+            tokens = calculator.get_openai_metrics_for_completion_api(inputs, output)
+        with self._lock:
+            self._span_id_to_tokens[span_id] = tokens
+
     def collect_openai_tokens_for_parent_span(self, span):
         tokens = self.try_get_openai_tokens(span.get_span_context().span_id)
         if tokens:
@@ -77,13 +85,13 @@ def enrich_span_with_context(span):
         logging.warning(f"Failed to enrich span with context: {e}")
 
 
-def enrich_span_with_trace(span, trace):
+def enrich_span_with_trace(span, trace: Trace):
     try:
         span.set_attributes(
             {
                 "framework": "promptflow",
                 "span_type": trace.type.value,
-                "function": trace.name,
+                "function": trace.function,
             }
         )
         node_name = get_node_name_from_context()
@@ -101,9 +109,12 @@ def enrich_span_with_prompt_info(span, func, kwargs):
         prompt_tpl_param_name = get_prompt_param_name_from_func(func)
         if prompt_tpl_param_name is not None:
             prompt_tpl = kwargs.get(prompt_tpl_param_name)
-            prompt_vars = {key: kwargs.get(key) for key in get_inputs_for_prompt_template(prompt_tpl) if key in kwargs}
+            prompt_vars = {
+                name: kwargs.get(name) for name in get_input_names_for_prompt_template(prompt_tpl) if name in kwargs
+            }
             prompt_info = {"prompt.template": prompt_tpl, "prompt.variables": serialize_attribute(prompt_vars)}
             span.set_attributes(prompt_info)
+            span.add_event("promptflow.prompt.template", {"payload": serialize_attribute(prompt_info)})
     except Exception as e:
         logging.warning(f"Failed to enrich span with prompt info: {e}")
 
@@ -112,6 +123,7 @@ def enrich_span_with_input(span, input):
     try:
         serialized_input = serialize_attribute(input)
         span.set_attribute("inputs", serialized_input)
+        span.add_event("promptflow.function.inputs", {"payload": serialized_input})
     except Exception as e:
         logging.warning(f"Failed to enrich span with input: {e}")
 
@@ -120,16 +132,21 @@ def enrich_span_with_input(span, input):
 
 def enrich_span_with_trace_type(span, inputs, output, trace_type):
     if trace_type == TraceType.LLM:
+        # Handle the non-streaming output of LLM, the streaming output will be handled in traced_generator.
         token_collector.collect_openai_tokens(span, output)
-        enrich_span_with_llm_model(span, output)
+        enrich_span_with_llm_output(span, output)
     elif trace_type == TraceType.EMBEDDING:
         token_collector.collect_openai_tokens(span, output)
         enrich_span_with_embedding(span, inputs, output)
     enrich_span_with_openai_tokens(span, trace_type)
-    return enrich_span_with_output(span, output)
+    enrich_span_with_output(span, output)
+    # If the output is a generator, while the span is a valid span, we will trace the generator.
+    if isinstance(output, Iterator) and not isinstance(span, NonRecordingSpan):
+        output = traced_generator(span, inputs, output)
+    return output
 
 
-def traced_generator(generator, original_span: ReadableSpan):
+def traced_generator(original_span: ReadableSpan, inputs, generator):
     context = original_span.get_span_context()
     link = Link(context)
     # If start_trace is not called, the name of the original_span will be empty.
@@ -137,43 +154,53 @@ def traced_generator(generator, original_span: ReadableSpan):
         f"Iterated({original_span.name})",
         links=[link],
     ) as span:
-        span.set_attributes(original_span.attributes)
+        enrich_span_with_original_attributes(span, original_span.attributes)
+        # Enrich the new span with input before generator iteration to prevent loss of input information.
+        # The input is as an event within this span.
+        enrich_span_with_input(span, inputs)
         generator_proxy = GeneratorProxy(generator)
         yield from generator_proxy
         generator_output = generator_proxy.items
 
-        # Enrich LLM span for openai steaming message
-        # TODO: Enrich LLM token count for streaming scenario
+        # Enrich LLM span for OpenAI streaming output
         if original_span.attributes["span_type"] == "LLM" and not IS_LEGACY_OPENAI:
             from openai.types.chat.chat_completion_chunk import ChatCompletionChunk
-            chunks = []
-            role = "assistant"
-            for item in generator_output:
-                if not isinstance(item, ChatCompletionChunk):
-                    continue
-                if item.choices and item.choices[0].delta.content:
-                    chunks.append(item.choices[0].delta.content)
-                    role = item.choices[0].delta.role or role
-            if chunks:
-                text = "".join(chunks)
-                message = {"content": text, "role": role}
-                span.set_attribute("llm.generated_message", serialize_attribute(message))
-        serialized_output = serialize_attribute(generator_output)
-        span.set_attribute("output", serialized_output)
+            from openai.types.completion import Completion
+
+            if generator_output and isinstance(generator_output[0], (ChatCompletionChunk, Completion)):
+                parser = OpenAIResponseParser.init_parser(generator_output)
+                enrich_span_with_llm(span, parser.model, parser.get_generated_message())
+                token_collector.collect_openai_tokens_for_streaming(span, inputs, generator_output, parser.is_chat)
+        enrich_span_with_openai_tokens(span, TraceType(original_span.attributes["span_type"]))
+        enrich_span_with_output(span, serialize_attribute(generator_output))
+        span.set_status(StatusCode.OK)
+    token_collector.collect_openai_tokens_for_parent_span(span)
+
+
+def enrich_span_with_original_attributes(span, attributes):
+    try:
+        span.set_attributes(attributes)
+    except Exception as e:
+        logging.warning(f"Failed to enrich span with original attributes: {e}")
+
+
+def enrich_span_with_llm(span, model, generated_message):
+    try:
+        span.set_attribute("llm.response.model", model)
+        span.set_attribute("llm.generated_message", serialize_attribute(generated_message))
+        span.add_event("promptflow.llm.generated_message", {"payload": serialize_attribute(generated_message)})
+    except Exception as e:
+        logging.warning(f"Failed to enrich span with llm: {e}")
 
 
 def enrich_span_with_output(span, output):
     try:
         serialized_output = serialize_attribute(output)
         span.set_attribute("output", serialized_output)
-        # If the output is a generator, while the span is a valid span, we will trace the generator.
-        if isinstance(output, Iterator) and not isinstance(span, NonRecordingSpan):
-            output = traced_generator(output, span)
+        span.add_event("promptflow.function.output", {"payload": serialized_output})
     except Exception as e:
         logging.warning(f"Failed to enrich span with output: {e}")
 
-    return output
-
 
 def enrich_span_with_openai_tokens(span, trace_type):
     try:
@@ -181,7 +208,7 @@ def enrich_span_with_openai_tokens(span, trace_type):
         if tokens:
             span_tokens = {f"__computed__.cumulative_token_count.{k.split('_')[0]}": v for k, v in tokens.items()}
             if trace_type in [TraceType.LLM, TraceType.EMBEDDING]:
-                llm_tokens = {f"{trace_type.value.lower()}.token_count.{k.split('_')[0]}": v for k, v in tokens.items()}
+                llm_tokens = {f"llm.usage.{k}": v for k, v in tokens.items()}
                 span_tokens.update(llm_tokens)
             span.set_attributes(span_tokens)
     except Exception as e:
@@ -193,7 +220,7 @@ def enrich_span_with_embedding(span, inputs, output):
 
     try:
         if isinstance(output, CreateEmbeddingResponse):
-            span.set_attribute("embedding.model", output.model)
+            span.set_attribute("llm.response.model", output.model)
             embeddings = []
             input_list = [emb_input] if _is_single_input(emb_input := inputs["input"]) else emb_input
             for emb in output.data:
@@ -205,6 +232,7 @@ def enrich_span_with_embedding(span, inputs, output):
                     }
                 )
             span.set_attribute("embedding.embeddings", serialize_attribute(embeddings))
+            span.add_event("promptflow.embedding.embeddings", {"payload": serialize_attribute(embeddings)})
     except Exception as e:
         logging.warning(f"Failed to enrich span with embedding: {e}")
 
@@ -212,25 +240,29 @@ def enrich_span_with_embedding(span, inputs, output):
 def _is_single_input(embedding_inputs):
     # OpenAI Embedding API accepts a single string/tokenized string or a list of string/tokenized string as input.
     # For the single string/tokenized string case, we should return true, otherwise return false.
-    if (isinstance(embedding_inputs, str)):
+    if isinstance(embedding_inputs, str):
         # input is a string
         return True
-    elif (isinstance(embedding_inputs, list) and all(isinstance(i, int) for i in embedding_inputs)):
+    elif isinstance(embedding_inputs, list) and all(isinstance(i, int) for i in embedding_inputs):
         # input is a token array
         return True
     return False
 
 
-def enrich_span_with_llm_model(span, output):
-    try:
-        if not IS_LEGACY_OPENAI:
-            from openai.types.chat.chat_completion import ChatCompletion
-            from openai.types.completion import Completion
+def enrich_span_with_llm_output(span, output):
+    if not IS_LEGACY_OPENAI:
+        from openai.types.chat.chat_completion import ChatCompletion
+        from openai.types.completion import Completion
 
-            if isinstance(output, (ChatCompletion, Completion)):
-                span.set_attribute("llm.model", output.model)
-    except Exception as e:
-        logging.warning(f"Failed to enrich span with llm model: {e}")
+        if isinstance(output, (ChatCompletion, Completion)):
+            model = output.model if isinstance(output, (ChatCompletion, Completion)) else None
+            if isinstance(output, ChatCompletion):
+                generated_message = output.choices[0].message
+            elif isinstance(output, Completion):
+                generated_message = output.choices[0].text
+            else:
+                generated_message = None
+            enrich_span_with_llm(span, model, generated_message)
 
 
 def serialize_attribute(value):
@@ -238,7 +270,12 @@ def serialize_attribute(value):
     try:
         serializable = Tracer.to_serializable(value)
         serialized_value = serialize(serializable)
-        return json.dumps(serialized_value, indent=2, default=default_json_encoder)
+        try:
+            from promptflow._utils.utils import default_json_encoder
+
+            return json.dumps(serialized_value, indent=2, default=default_json_encoder)
+        except ImportError:
+            return json.dumps(serialized_value, indent=2)
     except Exception as e:
         logging.warning(f"Failed to serialize attribute: {e}")
         return None
@@ -264,7 +301,11 @@ def _traced(
 
 
 def _traced_async(
-    func: Callable = None, *, args_to_ignore: Optional[List[str]] = None, trace_type=TraceType.FUNCTION
+    func: Callable = None,
+    *,
+    args_to_ignore: Optional[List[str]] = None,
+    trace_type=TraceType.FUNCTION,
+    name: Optional[str] = None,
 ) -> Callable:
     """
     Decorator that adds tracing to an asynchronous function.
@@ -274,6 +315,7 @@ def _traced_async(
         args_to_ignore (Optional[List[str]], optional): A list of argument names to be ignored in the trace.
                                                         Defaults to None.
         trace_type (TraceType, optional): The type of the trace. Defaults to TraceType.FUNCTION.
+        name (str, optional): The name of the trace, will set to func name if not provided.
 
     Returns:
         Callable: The traced function.
@@ -281,15 +323,22 @@ def _traced_async(
 
     def create_trace(func, args, kwargs):
         return _create_trace_from_function_call(
-            func, args=args, kwargs=kwargs, args_to_ignore=args_to_ignore, trace_type=trace_type
+            func,
+            args=args,
+            kwargs=kwargs,
+            args_to_ignore=args_to_ignore,
+            trace_type=trace_type,
+            name=name,
         )
 
     @functools.wraps(func)
     async def wrapped(*args, **kwargs):
         trace = create_trace(func, args, kwargs)
-        # Fall back to trace.name if we can't get node name for better view.
-        span_name = get_node_name_from_context() or trace.name if trace_type == TraceType.TOOL else trace.name
+        # For node span we set the span name to node name, otherwise we use the function name.
+        span_name = get_node_name_from_context(used_for_span_name=True) or trace.name
         with open_telemetry_tracer.start_as_current_span(span_name) as span:
+            # Store otel trace id in context for correlation
+            OperationContext.get_instance()["otel_trace_id"] = f"{span.get_span_context().trace_id:032x}"
             enrich_span_with_trace(span, trace)
             enrich_span_with_prompt_info(span, func, kwargs)
 
@@ -314,7 +363,13 @@ async def wrapped(*args, **kwargs):
     return wrapped
 
 
-def _traced_sync(func: Callable = None, *, args_to_ignore=None, trace_type=TraceType.FUNCTION) -> Callable:
+def _traced_sync(
+    func: Callable = None,
+    *,
+    args_to_ignore: Optional[List[str]] = None,
+    trace_type=TraceType.FUNCTION,
+    name: Optional[str] = None,
+) -> Callable:
     """
     Decorator that adds tracing to a synchronous function.
 
@@ -323,6 +378,8 @@ def _traced_sync(func: Callable = None, *, args_to_ignore=None, trace_type=Trace
         args_to_ignore (Optional[List[str]], optional): A list of argument names to be ignored in the trace.
                                                         Defaults to None.
         trace_type (TraceType, optional): The type of the trace. Defaults to TraceType.FUNCTION.
+        name (str, optional): The name of the trace, will set to func name if not provided.
+
 
     Returns:
         Callable: The traced function.
@@ -330,15 +387,22 @@ def _traced_sync(func: Callable = None, *, args_to_ignore=None, trace_type=Trace
 
     def create_trace(func, args, kwargs):
         return _create_trace_from_function_call(
-            func, args=args, kwargs=kwargs, args_to_ignore=args_to_ignore, trace_type=trace_type
+            func,
+            args=args,
+            kwargs=kwargs,
+            args_to_ignore=args_to_ignore,
+            trace_type=trace_type,
+            name=name,
         )
 
     @functools.wraps(func)
     def wrapped(*args, **kwargs):
         trace = create_trace(func, args, kwargs)
-        # Fall back to trace.name if we can't get node name for better view.
-        span_name = get_node_name_from_context() or trace.name if trace_type == TraceType.TOOL else trace.name
+        # For node span we set the span name to node name, otherwise we use the function name.
+        span_name = get_node_name_from_context(used_for_span_name=True) or trace.name
         with open_telemetry_tracer.start_as_current_span(span_name) as span:
+            # Store otel trace id in context for correlation
+            OperationContext.get_instance()["otel_trace_id"] = f"{span.get_span_context().trace_id:032x}"
             enrich_span_with_trace(span, trace)
             enrich_span_with_prompt_info(span, func, kwargs)
 
diff --git a/src/promptflow/promptflow/tracing/_tracer.py b/src/promptflow-tracing/promptflow/tracing/_tracer.py
similarity index 76%
rename from src/promptflow/promptflow/tracing/_tracer.py
rename to src/promptflow-tracing/promptflow/tracing/_tracer.py
index 041070284e9..b31d9ee731a 100644
--- a/src/promptflow/promptflow/tracing/_tracer.py
+++ b/src/promptflow-tracing/promptflow/tracing/_tracer.py
@@ -1,5 +1,5 @@
-import json
 import inspect
+import json
 import logging
 import uuid
 from collections.abc import Iterator
@@ -7,12 +7,9 @@
 from datetime import datetime
 from typing import Dict, List, Optional
 
-from promptflow._core.generator_proxy import GeneratorProxy, generate_from_proxy
-from promptflow._core.thread_local_singleton import ThreadLocalSingleton
-from promptflow._utils.dataclass_serializer import serialize
-from promptflow.contracts.tool import ConnectionType
-
-from .._utils.utils import default_json_encoder
+from ._thread_local_singleton import ThreadLocalSingleton
+from ._utils import serialize
+from .contracts.generator_proxy import GeneratorProxy, generate_from_proxy
 from .contracts.trace import Trace, TraceType
 
 
@@ -23,6 +20,7 @@ class Tracer(ThreadLocalSingleton):
     def __init__(self, run_id, node_name: Optional[str] = None):
         self._run_id = run_id
         self._node_name = node_name
+        self._is_node_span_created = False
         self._traces = []
         self._current_trace_id = ContextVar("current_trace_id", default="")
         self._id_to_trace: Dict[str, Trace] = {}
@@ -31,8 +29,6 @@ def __init__(self, run_id, node_name: Optional[str] = None):
     def start_tracing(cls, run_id, node_name: Optional[str] = None):
         current_run_id = cls.current_run_id()
         if current_run_id is not None:
-            msg = f"Try to start tracing for run {run_id} but {current_run_id} is already active."
-            logging.warning(msg)
             return
         tracer = cls(run_id, node_name)
         tracer._activate_in_context()
@@ -69,7 +65,12 @@ def to_serializable(obj):
             return obj
         try:
             obj = serialize(obj)
-            json.dumps(obj, default=default_json_encoder)
+            try:
+                from promptflow._utils.utils import default_json_encoder
+
+                json.dumps(obj, default=default_json_encoder)
+            except ImportError:
+                json.dumps(obj)
         except Exception:
             # We don't want to fail the whole function call because of a serialization error,
             # so we simply convert it to str if it cannot be serialized.
@@ -136,7 +137,7 @@ def _format_error(error: Exception) -> dict:
 
 
 def _create_trace_from_function_call(
-    f, *, args=None, kwargs=None, args_to_ignore: Optional[List[str]] = None, trace_type=TraceType.FUNCTION
+    f, *, args=None, kwargs=None, args_to_ignore: Optional[List[str]] = None, trace_type=TraceType.FUNCTION, name=None,
 ):
     """
     Creates a trace object from a function call.
@@ -148,6 +149,7 @@ def _create_trace_from_function_call(
         args_to_ignore (Optional[List[str]], optional): A list of argument names to be ignored in the trace.
                                                         Defaults to None.
         trace_type (TraceType, optional): The type of the trace. Defaults to TraceType.FUNCTION.
+        name (str, optional): The name of the trace. Defaults to None.
 
     Returns:
         Trace: The created trace object.
@@ -158,30 +160,47 @@ def _create_trace_from_function_call(
     sig = inspect.signature(f).parameters
 
     all_kwargs = {**{k: v for k, v in zip(sig.keys(), args)}, **kwargs}
-    all_kwargs = {
-        k: ConnectionType.serialize_conn(v) if ConnectionType.is_connection_value(v) else v
-        for k, v in all_kwargs.items()
-    }
+    try:
+        # We have removed the dependency of tracing on promptflow, so need to check if the ConnectionType is
+        # available before using it.
+        from promptflow.contracts.tool import ConnectionType
+
+        all_kwargs = {
+            k: ConnectionType.serialize_conn(v) if ConnectionType.is_connection_value(v) else v
+            for k, v in all_kwargs.items()
+        }
+    except ImportError:
+        pass
+
     # TODO: put parameters in self to inputs for builtin tools
     all_kwargs.pop("self", None)
     for key in args_to_ignore:
         all_kwargs.pop(key, None)
 
-    name = f.__qualname__
+    function = f.__qualname__
     if trace_type in [TraceType.LLM, TraceType.EMBEDDING] and f.__module__:
-        name = f"{f.__module__}.{name}"
+        function = f"{f.__module__}.{function}"
 
     return Trace(
-        name=name,
+        name=name or function,  # Use the function name as the trace name if not provided
         type=trace_type,
         start_time=datetime.utcnow().timestamp(),
         inputs=all_kwargs,
         children=[],
+        function=function,
     )
 
 
-def get_node_name_from_context():
+def get_node_name_from_context(used_for_span_name=False):
     tracer = Tracer.active_instance()
     if tracer is not None:
-        return tracer._node_name
+        if used_for_span_name:
+            # Since only the direct children of flow span should have the node name as span name, we need to check if
+            # the node span is created, if created, the current span is not a node span, its name should bet set to
+            # function name.
+            if not tracer._is_node_span_created:
+                tracer._is_node_span_created = True
+                return tracer._node_name
+        else:
+            return tracer._node_name
     return None
diff --git a/src/promptflow-tracing/promptflow/tracing/_utils.py b/src/promptflow-tracing/promptflow/tracing/_utils.py
new file mode 100644
index 00000000000..59862461aeb
--- /dev/null
+++ b/src/promptflow-tracing/promptflow/tracing/_utils.py
@@ -0,0 +1,90 @@
+import re
+from dataclasses import fields, is_dataclass
+from datetime import datetime
+from enum import Enum
+from typing import Callable, Dict
+
+from .contracts.generator_proxy import GeneratorProxy
+
+
+def serialize(value: object, remove_null: bool = False, serialization_funcs: Dict[type, Callable] = None) -> dict:
+    if serialization_funcs:
+        for cls, f in serialization_funcs.items():
+            if isinstance(value, cls):
+                return f(value)
+    if isinstance(value, datetime):
+        return value.isoformat() + "Z"
+    if isinstance(value, Enum):
+        return value.value
+    if isinstance(value, list):
+        return [serialize(v, remove_null, serialization_funcs) for v in value]
+    if isinstance(value, GeneratorProxy):
+        # TODO: The current implementation of the serialize function is not self-explanatory, as value.items is mutable
+        # whereas the serialize function should deal with a fixed object. We should rename the function to
+        # to_serializable to better reflect its purpose.
+        return value.items
+    try:
+        from promptflow.contracts.tool import ConnectionType
+
+        #  Note that custom connection check should before dict check
+        if ConnectionType.is_connection_value(value):
+            return ConnectionType.serialize_conn(value)
+    except ImportError:
+        pass
+    if isinstance(value, dict):
+        return {k: serialize(v, remove_null, serialization_funcs) for k, v in value.items()}
+    if is_dataclass(value):
+        if hasattr(value, "serialize"):
+            result = value.serialize()
+        else:
+            result = {
+                f.name: serialize(getattr(value, f.name), remove_null, serialization_funcs) for f in fields(value)
+            }
+        if not remove_null:
+            return result
+        null_keys = [k for k, v in result.items() if v is None]
+        for k in null_keys:
+            result.pop(k)
+        return result
+    try:
+        from pydantic import BaseModel
+
+        if isinstance(value, BaseModel):  # Handle pydantic model, which is used in langchain
+            return value.dict()
+    except ImportError:
+        # Ignore ImportError if pydantic is not installed
+        pass
+    return value
+
+
+def get_input_names_for_prompt_template(template_str):
+    try:
+        # We need to parse jinja template only when the promptflow is installed and run flow with PromptTemplate
+        # type input, so using try-catch to avoid the dependency of jinja2 when it's not needed.
+        from jinja2 import Environment, meta
+    except ImportError:
+        return []
+
+    input_names = []
+    env = Environment()
+    template = env.parse(template_str)
+    input_names.extend(sorted(meta.find_undeclared_variables(template), key=lambda x: template_str.find(x)))
+
+    # currently we only support image type
+    pattern = r"\!\[(\s*image\s*)\]\(\{\{\s*([^{}]+)\s*\}\}\)"
+    matches = re.finditer(pattern, template_str)
+    for match in matches:
+        input_names.append(match.group(2).strip())
+
+    return input_names
+
+
+def get_prompt_param_name_from_func(f):
+    """Get the param name of prompt template on provider."""
+
+    try:
+        from promptflow.contracts.types import PromptTemplate
+
+        return next((k for k, annotation in f.__annotations__.items() if annotation == PromptTemplate), None)
+    except ImportError:
+        return None
diff --git a/src/promptflow-tracing/promptflow/tracing/_version.py b/src/promptflow-tracing/promptflow/tracing/_version.py
new file mode 100644
index 00000000000..c965b88b2d0
--- /dev/null
+++ b/src/promptflow-tracing/promptflow/tracing/_version.py
@@ -0,0 +1,9 @@
+# ---------------------------------------------------------
+# Copyright (c) Microsoft Corporation. All rights reserved.
+# ---------------------------------------------------------
+
+import importlib.metadata
+
+__version__ = importlib.metadata.version("promptflow-tracing")
+
+VERSION: str = __version__
diff --git a/src/promptflow-tracing/promptflow/tracing/contracts/__init__.py b/src/promptflow-tracing/promptflow/tracing/contracts/__init__.py
new file mode 100644
index 00000000000..29a4fcd3278
--- /dev/null
+++ b/src/promptflow-tracing/promptflow/tracing/contracts/__init__.py
@@ -0,0 +1,5 @@
+# ---------------------------------------------------------
+# Copyright (c) Microsoft Corporation. All rights reserved.
+# ---------------------------------------------------------
+
+__path__ = __import__("pkgutil").extend_path(__path__, __name__)  # type: ignore
diff --git a/src/promptflow/promptflow/_core/generator_proxy.py b/src/promptflow-tracing/promptflow/tracing/contracts/generator_proxy.py
similarity index 100%
rename from src/promptflow/promptflow/_core/generator_proxy.py
rename to src/promptflow-tracing/promptflow/tracing/contracts/generator_proxy.py
diff --git a/src/promptflow/promptflow/tracing/contracts/trace.py b/src/promptflow-tracing/promptflow/tracing/contracts/trace.py
similarity index 97%
rename from src/promptflow/promptflow/tracing/contracts/trace.py
rename to src/promptflow-tracing/promptflow/tracing/contracts/trace.py
index 249090389c1..3003967314a 100644
--- a/src/promptflow/promptflow/tracing/contracts/trace.py
+++ b/src/promptflow-tracing/promptflow/tracing/contracts/trace.py
@@ -11,7 +11,6 @@ class TraceType(str, Enum):
     """An enumeration class to represent different types of traces."""
 
     LLM = "LLM"
-    TOOL = "Tool"
     FUNCTION = "Function"
     LANGCHAIN = "LangChain"
     FLOW = "Flow"
@@ -53,3 +52,4 @@ class Trace:
     node_name: Optional[str] = None  # The node name of the trace, used for flow level trace
     parent_id: str = ""  # The parent trace id of the trace
     id: str = ""  # The trace id
+    function: str = ""  # The function name of the trace
diff --git a/src/promptflow-tracing/pyproject.toml b/src/promptflow-tracing/pyproject.toml
new file mode 100644
index 00000000000..67acd49a49e
--- /dev/null
+++ b/src/promptflow-tracing/pyproject.toml
@@ -0,0 +1,114 @@
+[build-system]
+requires = ["poetry-core>=1.5.0"]
+build-backend = "poetry.core.masonry.api"
+
+# poetry
+[tool.poetry]
+name = "promptflow-tracing"
+version = "1.1.0.dev0"
+description = "Prompt flow tracing"
+license = "MIT"
+authors = [
+  "Microsoft Corporation <aml-pt-eng@microsoft.com>"
+]
+repository = "https://github.com/microsoft/promptflow"
+homepage = "https://microsoft.github.io/promptflow/"
+readme = ["README.md"]
+keywords = ["telemetry"]
+classifiers = [
+  "Programming Language :: Python",
+  "Programming Language :: Python :: 3",
+  "Programming Language :: Python :: 3 :: Only",
+  "Programming Language :: Python :: 3.8",
+  "Programming Language :: Python :: 3.9",
+  "Programming Language :: Python :: 3.10",
+  "Programming Language :: Python :: 3.11",
+  "License :: OSI Approved :: MIT License",
+  "Operating System :: OS Independent",
+]
+packages = [
+  { include = "promptflow" }
+]
+
+[tool.poetry.urls]
+"Bug Reports" = "https://github.com/microsoft/promptflow/issues"
+
+# dependencies
+[tool.poetry.dependencies]
+python = "<4.0,>=3.8"
+openai = "*"  # API injector for OpenAI traces
+opentelemetry-sdk = ">=1.22.0,<2.0.0"  # Open Telemetry dependency
+tiktoken = ">=0.4.0"  # get OpenAI token count for streaming scenario
+
+[tool.poetry.group.dev.dependencies]
+pre-commit = "*"
+import-linter = "*"
+
+[tool.poetry.group.test.dependencies]
+pytest = "*"
+pytest-asyncio = "*"
+pytest-cov = "*"
+pytest-mock = "*"
+pytest-xdist = "*"
+
+# test: pytest and coverage
+[tool.pytest.ini_options]
+markers = [
+  "unittest",
+  "e2etest",
+]
+# junit - analyse and publish test results (https://github.com/EnricoMi/publish-unit-test-result-action)
+# durations - list the slowest test durations
+addopts = """
+--junit-xml=test-results.xml \
+--dist loadfile \
+--log-level=info \
+--log-format="%(asctime)s %(levelname)s %(message)s" \
+--log-date-format="[%Y-%m-%d %H:%M:%S]" \
+--durations=5 \
+-ra \
+-vv
+"""
+env = [
+]
+testpaths = ["tests"]
+
+[tool.coverage.run]
+concurrency = ["multiprocessing"]
+source = ["promptflow"]
+omit = [
+  "__init__.py",
+]
+
+[tool.black]
+line-length = 120
+
+# import linter
+# reference: https://pypi.org/project/import-linter/
+[tool.importlinter]
+root_package = "promptflow"
+include_external_packages = "True"
+
+[[tool.importlinter.contracts]]
+name = "Contract forbidden modules"
+type = "forbidden"
+source_modules = ["promptflow.tracing"]
+forbidden_modules = [
+  "promptflow.core",
+  "promptflow._core",
+  "promptflow._utils",
+  "promptflow.connections",
+  "promptflow.contracts",
+  "promptflow.executor",
+  "promptflow.integrations",
+  "promptflow.storage",
+  "promptflow._cli",
+  "promptflow._internal",
+  "promptflow._proxy",
+  "promptflow._sdk",
+  "promptflow.batch",
+  "promptflow.client",
+  "promptflow.entities",
+  "promptflow.operations",
+  "promptflow.azure"
+]
diff --git a/src/promptflow-tracing/tests/__init__.py b/src/promptflow-tracing/tests/__init__.py
new file mode 100644
index 00000000000..e69de29bb2d
diff --git a/src/promptflow-tracing/tests/conftest.py b/src/promptflow-tracing/tests/conftest.py
new file mode 100644
index 00000000000..a5e1b3ad787
--- /dev/null
+++ b/src/promptflow-tracing/tests/conftest.py
@@ -0,0 +1,136 @@
+import json
+import multiprocessing
+from pathlib import Path
+from unittest.mock import patch
+
+import pytest
+from pytest_mock import MockerFixture
+
+from promptflow.tracing._integrations._openai_injector import inject_openai_api
+
+try:
+    from promptflow.recording.local import recording_array_reset
+    from promptflow.recording.record_mode import is_in_ci_pipeline, is_live, is_record, is_replay
+except ImportError:
+    # Run test in empty mode if promptflow-recording is not installed
+    def recording_array_reset():
+        pass
+
+    def is_in_ci_pipeline():
+        return False
+
+    def is_live():
+        return False
+
+    def is_record():
+        return False
+
+    def is_replay():
+        return False
+
+
+from .utils import _run_in_subprocess
+
+RECORDINGS_TEST_CONFIGS_ROOT = Path(__file__).parent.parent.parent / "promptflow-recording/recordings/local"
+
+
+def pytest_configure():
+    pytest.is_live = is_live()
+    pytest.is_record = is_record()
+    pytest.is_replay = is_replay()
+    pytest.is_in_ci_pipeline = is_in_ci_pipeline()
+
+
+@pytest.fixture
+def dev_connections() -> dict:
+    with open(
+        file=(Path(__file__).parent.parent / "connections.json").resolve().absolute().as_posix(),
+        mode="r",
+    ) as f:
+        return json.load(f)
+
+
+# ==================== Recording injection ====================
+# To inject patches in subprocesses, add new mock method in setup_recording_injection_if_enabled
+# in fork mode, this is automatically enabled.
+# in spawn mode, we need to declare recording in each process separately.
+
+SpawnProcess = multiprocessing.get_context("spawn").Process
+
+
+class MockSpawnProcess(SpawnProcess):
+    def __init__(self, group=None, target=None, *args, **kwargs):
+        if target == _run_in_subprocess:
+            target = _run_in_subprocess_with_recording
+        super().__init__(group, target, *args, **kwargs)
+
+
+@pytest.fixture
+def recording_injection(mocker: MockerFixture):
+    original_process_class = multiprocessing.get_context("spawn").Process
+    multiprocessing.get_context("spawn").Process = MockSpawnProcess
+    if "spawn" == multiprocessing.get_start_method():
+        multiprocessing.Process = MockSpawnProcess
+
+    patches = setup_recording_injection_if_enabled()
+
+    try:
+        yield
+    finally:
+        if pytest.is_replay or pytest.is_record:
+            from promptflow.recording.local import RecordStorage
+
+            RecordStorage.get_instance().delete_lock_file()
+        if pytest.is_live:
+            from promptflow.recording.local import delete_count_lock_file
+
+            delete_count_lock_file()
+        recording_array_reset()
+
+        multiprocessing.get_context("spawn").Process = original_process_class
+        if "spawn" == multiprocessing.get_start_method():
+            multiprocessing.Process = original_process_class
+
+        for patcher in patches:
+            patcher.stop()
+
+
+def setup_recording_injection_if_enabled():
+    patches = []
+
+    def start_patches(patch_targets):
+        for target, mock_func in patch_targets.items():
+            patcher = patch(target, mock_func)
+            patches.append(patcher)
+            patcher.start()
+
+    if is_replay() or is_record():
+        from promptflow.recording.local import RecordStorage, inject_async_with_recording, inject_sync_with_recording
+        from promptflow.recording.record_mode import check_pydantic_v2
+
+        check_pydantic_v2()
+        file_path = RECORDINGS_TEST_CONFIGS_ROOT / "tracing.node_cache.shelve"
+        RecordStorage.get_instance(file_path)
+
+        patch_targets = {
+            "promptflow.tracing._integrations._openai_injector.inject_sync": inject_sync_with_recording,
+            "promptflow.tracing._integrations._openai_injector.inject_async": inject_async_with_recording,
+        }
+        start_patches(patch_targets)
+
+    if is_live() and is_in_ci_pipeline():
+        from promptflow.recording.local import inject_async_with_recording, inject_sync_with_recording
+
+        patch_targets = {
+            "promptflow.tracing._integrations._openai_injector.inject_sync": inject_sync_with_recording,
+            "promptflow.tracing._integrations._openai_injector.inject_async": inject_async_with_recording,
+        }
+        start_patches(patch_targets)
+
+    inject_openai_api()
+    return patches
+
+
+def _run_in_subprocess_with_recording(queue, func, args, kwargs):
+    setup_recording_injection_if_enabled()
+    return _run_in_subprocess(queue, func, args, kwargs)
diff --git a/src/promptflow-tracing/tests/e2etests/__init__.py b/src/promptflow-tracing/tests/e2etests/__init__.py
new file mode 100644
index 00000000000..e69de29bb2d
diff --git a/src/promptflow-tracing/tests/e2etests/simple_functions.py b/src/promptflow-tracing/tests/e2etests/simple_functions.py
new file mode 100644
index 00000000000..85301b8f89d
--- /dev/null
+++ b/src/promptflow-tracing/tests/e2etests/simple_functions.py
@@ -0,0 +1,88 @@
+import asyncio
+from time import sleep
+from typing import Union
+
+from openai import AsyncAzureOpenAI, AzureOpenAI
+
+from promptflow.tracing._trace import trace
+
+
+@trace
+def is_valid_name(name):
+    sleep(0.5)
+    return len(name) > 0
+
+
+@trace
+def get_user_name(user_id):
+    sleep(0.5)
+    user_name = f"User {user_id}"
+    if not is_valid_name(user_name):
+        raise ValueError(f"Invalid user name: {user_name}")
+
+    return user_name
+
+
+@trace
+def format_greeting(user_name):
+    sleep(0.5)
+    return f"Hello, {user_name}!"
+
+
+@trace
+def greetings(user_id):
+    user_name = get_user_name(user_id)
+    greeting = format_greeting(user_name)
+    return greeting
+
+
+@trace
+async def dummy_llm(prompt: str, model: str):
+    await asyncio.sleep(0.5)
+    return "dummy_output"
+
+
+@trace
+async def dummy_llm_tasks_async(prompt: str, models: list):
+    tasks = []
+    for model in models:
+        tasks.append(asyncio.create_task(dummy_llm(prompt, model)))
+    done, _ = await asyncio.wait(tasks, return_when=asyncio.ALL_COMPLETED)
+    return [task.result() for task in done]
+
+
+@trace
+def openai_chat(connection: dict, prompt: str, stream: bool = False):
+    client = AzureOpenAI(**connection)
+
+    messages = [{"role": "system", "content": "You are a helpful assistant."}, {"role": "user", "content": prompt}]
+    response = client.chat.completions.create(model="gpt-35-turbo", messages=messages, stream=stream)
+
+    if stream:
+        def generator():
+            for chunk in response:
+                if chunk.choices:
+                    yield chunk.choices[0].delta.content or ""
+        return "".join(generator())
+    return response.choices[0].message.content or ""
+
+
+@trace
+def openai_completion(connection: dict, prompt: str, stream: bool = False):
+    client = AzureOpenAI(**connection)
+    response = client.completions.create(model="text-ada-001", prompt=prompt, stream=stream)
+
+    if stream:
+        def generator():
+            for chunk in response:
+                if chunk.choices:
+                    yield chunk.choices[0].text or ""
+        return "".join(generator())
+    return response.choices[0].text or ""
+
+
+@trace
+async def openai_embedding_async(connection: dict, input: Union[str, list]):
+    client = AsyncAzureOpenAI(**connection)
+    resp = await client.embeddings.create(model="text-embedding-ada-002", input=input)
+    return resp.data[0].embedding
diff --git a/src/promptflow-tracing/tests/e2etests/test_tracing.py b/src/promptflow-tracing/tests/e2etests/test_tracing.py
new file mode 100644
index 00000000000..f5a0ce28d34
--- /dev/null
+++ b/src/promptflow-tracing/tests/e2etests/test_tracing.py
@@ -0,0 +1,298 @@
+import asyncio
+import json
+
+import pytest
+from opentelemetry.trace.status import StatusCode
+
+from promptflow.tracing._integrations._openai_injector import inject_openai_api
+from promptflow.tracing.contracts.trace import TraceType
+
+from ..utils import execute_function_in_subprocess, prepare_memory_exporter
+from .simple_functions import dummy_llm_tasks_async, greetings, openai_chat, openai_completion, openai_embedding_async
+
+LLM_FUNCTION_NAMES = [
+    "openai.resources.chat.completions.Completions.create",
+    "openai.resources.completions.Completions.create",
+    "openai.resources.chat.completions.AsyncCompletions.create",
+    "openai.resources.completions.AsyncCompletions.create",
+]
+
+EMBEDDING_FUNCTION_NAMES = [
+    "openai.resources.embeddings.Embeddings.create",
+    "openai.resources.embeddings.AsyncEmbeddings.create",
+]
+
+LLM_TOKEN_NAMES = [
+    "llm.usage.prompt_tokens",
+    "llm.usage.completion_tokens",
+    "llm.usage.total_tokens",
+    "llm.response.model",
+]
+
+EMBEDDING_TOKEN_NAMES = [
+    "llm.usage.prompt_tokens",
+    "llm.usage.total_tokens",
+    "llm.response.model",
+]
+
+CUMULATIVE_LLM_TOKEN_NAMES = [
+    "__computed__.cumulative_token_count.prompt",
+    "__computed__.cumulative_token_count.completion",
+    "__computed__.cumulative_token_count.total",
+]
+
+CUMULATIVE_EMBEDDING_TOKEN_NAMES = [
+    "__computed__.cumulative_token_count.prompt",
+    "__computed__.cumulative_token_count.total",
+]
+
+
+@pytest.mark.usefixtures("dev_connections", "recording_injection")
+@pytest.mark.e2etest
+class TestTracing:
+    @pytest.mark.parametrize(
+        "func, inputs, expected_span_length",
+        [
+            (greetings, {"user_id": 1}, 4),
+            (dummy_llm_tasks_async, {"prompt": "Hello", "models": ["model_1", "model_1"]}, 3),
+        ],
+    )
+    def test_otel_trace(self, func, inputs, expected_span_length):
+        execute_function_in_subprocess(self.assert_otel_trace, func, inputs, expected_span_length)
+
+    def assert_otel_trace(self, func, inputs, expected_span_length):
+        exporter = prepare_memory_exporter()
+
+        result = self.run_func(func, inputs)
+        assert isinstance(result, (str, list))
+        span_list = exporter.get_finished_spans()
+        self.validate_span_list(span_list, expected_span_length)
+
+    def assert_otel_traces_with_prompt(self, func, inputs):
+        memory_exporter = prepare_memory_exporter()
+
+        result = self.run_func(func, inputs)
+        assert result == "Hello world!"
+
+        span_list = memory_exporter.get_finished_spans()
+        for span in span_list:
+            assert span.status.status_code == StatusCode.OK
+            assert isinstance(span.name, str)
+            if span.attributes.get("function", "") == "render_prompt_template":
+                assert "prompt.template" in span.attributes
+                assert span.attributes["prompt.template"] == inputs["prompt"]
+                assert "prompt.variables" in span.attributes
+                for var in inputs:
+                    if var == "prompt":
+                        continue
+                    assert var in span.attributes["prompt.variables"]
+
+    @pytest.mark.parametrize(
+        "func, inputs, expected_span_length",
+        [
+            (openai_chat, {"prompt": "Hello"}, 2),
+            (openai_completion, {"prompt": "Hello"}, 2),
+            (openai_chat, {"prompt": "Hello", "stream": True}, 3),
+            (openai_completion, {"prompt": "Hello", "stream": True}, 3),
+        ],
+    )
+    def test_otel_trace_with_llm(self, dev_connections, func, inputs, expected_span_length):
+        execute_function_in_subprocess(
+            self.assert_otel_trace_with_llm, dev_connections, func, inputs, expected_span_length
+        )
+
+    def assert_otel_trace_with_llm(self, dev_connections, func, inputs, expected_span_length):
+        inject_openai_api()
+        exporter = prepare_memory_exporter()
+
+        inputs = self.add_azure_connection_to_inputs(inputs, dev_connections)
+        is_stream = inputs.get("stream", False)
+        result = self.run_func(func, inputs)
+        assert isinstance(result, str)
+        span_list = exporter.get_finished_spans()
+        self.validate_span_list(span_list, expected_span_length)
+        # We updated the OpenAI tokens (prompt_token/completion_token/total_token) to the span attributes
+        # for llm and embedding traces, and aggregate them to the parent span. Use this function to validate
+        # the openai tokens are correctly set.
+        self.validate_openai_tokens(span_list, is_stream)
+
+    @pytest.mark.parametrize(
+        "func, inputs, expected_span_length",
+        [
+            (openai_embedding_async, {"input": "Hello"}, 2),
+            # [9906] is the tokenized version of "Hello"
+            (openai_embedding_async, {"input": [9906]}, 2),
+        ],
+    )
+    def test_otel_trace_with_embedding(
+        self,
+        dev_connections,
+        func,
+        inputs,
+        expected_span_length,
+    ):
+        execute_function_in_subprocess(
+            self.assert_otel_traces_with_embedding, dev_connections, func, inputs, expected_span_length
+        )
+
+    def assert_otel_traces_with_embedding(self, dev_connections, func, inputs, expected_span_length):
+        inject_openai_api()
+        memory_exporter = prepare_memory_exporter()
+
+        inputs = self.add_azure_connection_to_inputs(inputs, dev_connections)
+        result = self.run_func(func, inputs)
+        assert isinstance(result, list)
+
+        span_list = memory_exporter.get_finished_spans()
+        self.validate_span_list(span_list, expected_span_length)
+        self.validate_openai_tokens(span_list)
+        for span in span_list:
+            if span.attributes.get("function", "") in EMBEDDING_FUNCTION_NAMES:
+                msg = f"Span attributes is not expected: {span.attributes}"
+                assert "ada" in span.attributes.get("llm.response.model", ""), msg
+                embeddings = span.attributes.get("embedding.embeddings", "")
+                assert "embedding.vector" in embeddings, msg
+                assert "embedding.text" in embeddings, msg
+                if isinstance(inputs["input"], list):
+                    # If the input is a token array, which is list of int, the attribute should contains
+                    # the length of the token array '<len(token_array) dimensional token>'.
+                    assert "dimensional token" in embeddings, msg
+                else:
+                    # If the input is a string, the attribute should contains the original input string.
+                    assert inputs["input"] in embeddings, msg
+
+    def test_otel_trace_with_multiple_functions(self):
+        execute_function_in_subprocess(self.assert_otel_traces_with_multiple_functions)
+
+    def assert_otel_traces_with_multiple_functions(self):
+        memory_exporter = prepare_memory_exporter()
+
+        result = self.run_func(greetings, {"user_id": 1})
+        assert isinstance(result, str)
+        result = self.run_func(dummy_llm_tasks_async, {"prompt": "Hello", "models": ["model_1", "model_1"]})
+        assert isinstance(result, list)
+
+        span_list = memory_exporter.get_finished_spans()
+        assert len(span_list) == 7, f"Got {len(span_list)} spans."  # 4 + 3 spans in total
+        root_spans = [span for span in span_list if span.parent is None]
+        assert len(root_spans) == 2, f"Expected 2 root spans, got {len(root_spans)}"
+        assert root_spans[0].attributes["function"] == "greetings"
+        assert root_spans[1].attributes["function"] == "dummy_llm_tasks_async"
+        assert root_spans[1] == span_list[-1]  # It should be the last span
+        sub_level_span = span_list[-2]  # It should be the second last span
+        expected_values = {
+            "framework": "promptflow",
+            "span_type": "Function",
+        }
+        for span in span_list:
+            for k, v in expected_values.items():
+                assert span.attributes[k] == v, f"span.attributes[{k}] = {span.attributes[k]}, expected: {v}"
+        assert (
+            sub_level_span.parent.span_id == root_spans[1].context.span_id
+        )  # sub_level_span is a child of the second root span
+
+    def run_func(self, func, inputs):
+        if asyncio.iscoroutinefunction(func):
+            return asyncio.run(func(**inputs))
+        else:
+            return func(**inputs)
+
+    def add_azure_connection_to_inputs(self, inputs, dev_connections):
+        conn_name = "azure_open_ai_connection"
+        if conn_name not in dev_connections:
+            raise ValueError(f"Connection '{conn_name}' not found in dev connections.")
+        conn_dict = {
+            "api_key": dev_connections[conn_name]["value"]["api_key"],
+            "azure_endpoint": dev_connections[conn_name]["value"]["api_base"],
+            "api_version": dev_connections[conn_name]["value"]["api_version"],
+        }
+        inputs["connection"] = conn_dict
+        return inputs
+
+    def validate_span_list(self, span_list, expected_span_length):
+        assert len(span_list) == expected_span_length, f"Got {len(span_list)} spans."
+        root_spans = [span for span in span_list if span.parent is None]
+        assert len(root_spans) == 1
+        root_span = root_spans[0]
+        for span in span_list:
+            assert span.status.status_code == StatusCode.OK
+            assert isinstance(span.name, str)
+            assert span.attributes["framework"] == "promptflow"
+            if span.attributes.get("function", "") in LLM_FUNCTION_NAMES:
+                expected_span_type = TraceType.LLM
+            elif span.attributes.get("function", "") in EMBEDDING_FUNCTION_NAMES:
+                expected_span_type = TraceType.EMBEDDING
+            else:
+                expected_span_type = TraceType.FUNCTION
+            msg = f"span_type: {span.attributes['span_type']}, expected: {expected_span_type}"
+            assert span.attributes["span_type"] == expected_span_type, msg
+            if span != root_span:  # Non-root spans should have a parent
+                assert span.attributes["function"]
+            inputs = json.loads(span.attributes["inputs"])
+            output = json.loads(span.attributes["output"])
+            assert isinstance(inputs, dict)
+            assert output is not None
+
+            self.validate_inputs_output_event(span)
+
+    def validate_inputs_output_event(self, span):
+        event_names = {event.name for event in span.events}
+        required_names = {"promptflow.function.inputs", "promptflow.function.output"}
+
+        missing_names = required_names - event_names
+        assert not missing_names, f"Missing required events: {', '.join(missing_names)}"
+
+        for event in span.events:
+            if event.name in required_names:
+                assert "payload" in event.attributes, f"Event {event.name} does not have a payload attribute."
+                try:
+                    json.loads(event.attributes["payload"])
+                except json.JSONDecodeError:
+                    assert (
+                        False
+                    ), f"Failed to parse payload for event {event.name}. Payload: {event.attributes['payload']}"
+
+    def validate_openai_tokens(self, span_list, is_stream=False):
+        span_dict = {span.context.span_id: span for span in span_list}
+        expected_tokens = {}
+        for span in span_list:
+            tokens = None
+            # Validate the openai tokens are correctly set in the llm trace.
+            if self._is_llm_span_with_tokens(span, is_stream):
+                for token_name in LLM_TOKEN_NAMES + CUMULATIVE_LLM_TOKEN_NAMES:
+                    assert token_name in span.attributes
+                tokens = {token_name: span.attributes[token_name] for token_name in CUMULATIVE_LLM_TOKEN_NAMES}
+            # Validate the openai tokens are correctly set in the embedding trace.
+            if span.attributes.get("function", "") in EMBEDDING_FUNCTION_NAMES:
+                for token_name in EMBEDDING_TOKEN_NAMES + CUMULATIVE_EMBEDDING_TOKEN_NAMES:
+                    assert token_name in span.attributes
+                tokens = {token_name: span.attributes[token_name] for token_name in CUMULATIVE_EMBEDDING_TOKEN_NAMES}
+            # Aggregate the tokens to the parent span.
+            if tokens is not None:
+                current_span_id = span.context.span_id
+                while True:
+                    if current_span_id in expected_tokens:
+                        expected_tokens[current_span_id] = {
+                            key: expected_tokens[current_span_id][key] + tokens[key] for key in tokens
+                        }
+                    else:
+                        expected_tokens[current_span_id] = tokens
+                    parent_cxt = getattr(span_dict[current_span_id], "parent", None)
+                    if parent_cxt is None:
+                        break
+                    current_span_id = parent_cxt.span_id
+        # Validate the aggregated tokens are correctly set in the parent span.
+        for span in span_list:
+            span_id = span.context.span_id
+            if span_id in expected_tokens:
+                for token_name in expected_tokens[span_id]:
+                    assert span.attributes[token_name] == expected_tokens[span_id][token_name]
+
+    def _is_llm_span_with_tokens(self, span, is_stream):
+        # For streaming mode, there are two spans for openai api call, one is the original span, and the other
+        # is the iterated span, which name is "Iterated(<original_trace_name>)", we should check the iterated span
+        # in streaming mode.
+        if is_stream:
+            return span.attributes.get("function", "") in LLM_FUNCTION_NAMES and span.name.startswith("Iterated(")
+        else:
+            return span.attributes.get("function", "") in LLM_FUNCTION_NAMES
diff --git a/src/promptflow/tests/executor/unittests/_core/test_generator_proxy.py b/src/promptflow-tracing/tests/unittests/test_generator_proxy.py
similarity index 94%
rename from src/promptflow/tests/executor/unittests/_core/test_generator_proxy.py
rename to src/promptflow-tracing/tests/unittests/test_generator_proxy.py
index 6ed5fe2e0c6..de8435f8fc1 100644
--- a/src/promptflow/tests/executor/unittests/_core/test_generator_proxy.py
+++ b/src/promptflow-tracing/tests/unittests/test_generator_proxy.py
@@ -1,6 +1,6 @@
 import pytest
 
-from promptflow._core.generator_proxy import GeneratorProxy, generate_from_proxy
+from promptflow.tracing.contracts.generator_proxy import GeneratorProxy, generate_from_proxy
 
 
 def generator():
diff --git a/src/promptflow-tracing/tests/unittests/test_openai_injector.py b/src/promptflow-tracing/tests/unittests/test_openai_injector.py
new file mode 100644
index 00000000000..723b6158a91
--- /dev/null
+++ b/src/promptflow-tracing/tests/unittests/test_openai_injector.py
@@ -0,0 +1,452 @@
+import json
+import logging
+from importlib.metadata import version
+from types import GeneratorType
+from unittest.mock import MagicMock, patch
+
+import openai
+import pytest
+
+from promptflow.tracing._integrations._openai_injector import (
+    USER_AGENT_HEADER,
+    PROMPTFLOW_HEADER,
+    _generate_api_and_injector,
+    _openai_api_list,
+    get_aoai_telemetry_headers,
+    inject_async,
+    inject_openai_api,
+    inject_operation_headers,
+    inject_sync,
+    recover_openai_api,
+    _legacy_openai_apis,
+    _openai_apis,
+)
+from promptflow.tracing._operation_context import OperationContext
+from promptflow.tracing._tracer import Tracer
+from promptflow.tracing._version import VERSION
+from promptflow.tracing.contracts.trace import TraceType
+
+IS_LEGACY_OPENAI = version("openai").startswith("0.")
+
+
+# Mock classes and functions for test
+class MockAPI:
+    def create(self):
+        pass
+
+
+@pytest.mark.unittest
+def test_inject_operation_headers_sync():
+    @inject_operation_headers
+    def f(**kwargs):
+        return kwargs
+
+    if IS_LEGACY_OPENAI:
+        headers = "headers"
+        kwargs_1 = {"headers": {"a": 1, "b": 2}}
+        kwargs_2 = {"headers": {"ms-azure-ai-promptflow-called-from": "aoai-tool"}}
+    else:
+        headers = "extra_headers"
+        kwargs_1 = {"extra_headers": {"a": 1, "b": 2}}
+        kwargs_2 = {"extra_headers": {"ms-azure-ai-promptflow-called-from": "aoai-tool"}}
+
+    injected_headers = get_aoai_telemetry_headers()
+    assert f(a=1, b=2) == {"a": 1, "b": 2, headers: injected_headers}
+
+    merged_headers = {**injected_headers, "a": 1, "b": 2}
+    assert f(**kwargs_1) == {headers: merged_headers}
+
+    aoai_tools_headers = injected_headers.copy()
+    aoai_tools_headers.update({"ms-azure-ai-promptflow-called-from": "aoai-tool"})
+    assert f(**kwargs_2) == {headers: aoai_tools_headers}
+
+
+@pytest.mark.unittest
+@pytest.mark.asyncio
+async def test_inject_operation_headers_async():
+    @inject_operation_headers
+    async def f(**kwargs):
+        return kwargs
+
+    if IS_LEGACY_OPENAI:
+        headers = "headers"
+        kwargs_1 = {"headers": {"a": 1, "b": 2}}
+        kwargs_2 = {"headers": {"ms-azure-ai-promptflow-called-from": "aoai-tool"}}
+    else:
+        headers = "extra_headers"
+        kwargs_1 = {"extra_headers": {"a": 1, "b": 2}}
+        kwargs_2 = {"extra_headers": {"ms-azure-ai-promptflow-called-from": "aoai-tool"}}
+
+    injected_headers = get_aoai_telemetry_headers()
+    assert await f(a=1, b=2) == {"a": 1, "b": 2, headers: injected_headers}
+
+    merged_headers = {**injected_headers, "a": 1, "b": 2}
+    assert await f(**kwargs_1) == {headers: merged_headers}
+
+    aoai_tools_headers = injected_headers.copy()
+    aoai_tools_headers.update({"ms-azure-ai-promptflow-called-from": "aoai-tool"})
+    assert await f(**kwargs_2) == {headers: aoai_tools_headers}
+
+
+@pytest.mark.unittest
+def test_aoai_call_inject():
+    if IS_LEGACY_OPENAI:
+        headers = "headers"
+        apis = ["openai.Completion.create", "openai.ChatCompletion.create", "openai.Embedding.create"]
+    else:
+        headers = "extra_headers"
+        apis = [
+            "openai.resources.Completions.create",
+            "openai.resources.chat.Completions.create",
+            "openai.resources.Embeddings.create",
+        ]
+
+    def mock_aoai(**kwargs):
+        return kwargs.get(headers)
+
+    with patch(apis[0], new=mock_aoai), patch(apis[1], new=mock_aoai), patch(apis[2], new=mock_aoai):
+        inject_openai_api()
+        injected_headers = get_aoai_telemetry_headers()
+
+        if IS_LEGACY_OPENAI:
+            return_headers_1 = openai.Completion.create(headers=None)
+            return_headers_2 = openai.ChatCompletion.create(headers="abc")
+            return_headers_3 = openai.Embedding.create(headers=1)
+        else:
+            return_headers_1 = openai.resources.Completions.create(extra_headers=None)
+            return_headers_2 = openai.resources.chat.Completions.create(extra_headers="abc")
+            return_headers_3 = openai.resources.Embeddings.create(extra_headers=1)
+
+        assert return_headers_1 is not None
+        assert injected_headers.items() <= return_headers_1.items()
+
+        assert return_headers_2 is not None
+        assert injected_headers.items() <= return_headers_2.items()
+
+        assert return_headers_3 is not None
+        assert injected_headers.items() <= return_headers_3.items()
+
+
+@pytest.mark.unittest
+def test_get_aoai_telemetry_headers():
+    # create a mock operation context
+    mock_operation_context = OperationContext.get_instance()
+    mock_operation_context.set_default_tracing_keys({"flow_id", "root_run_id"})
+    mock_operation_context.user_agent = "test-user-agent"
+    mock_operation_context.update(
+        {
+            "flow_id": "test-flow-id",
+            "root_run_id": "test-root-run-id",
+        }
+    )
+
+    # patch the OperationContext.get_instance method to return the mock operation context
+    with patch("promptflow.tracing._operation_context.OperationContext.get_instance") as mock_get_instance:
+        mock_get_instance.return_value = mock_operation_context
+
+        # call the function under test and get the headers
+        headers = get_aoai_telemetry_headers()
+
+        assert USER_AGENT_HEADER in headers
+        assert PROMPTFLOW_HEADER in headers
+
+        for key in headers.keys():
+            assert "_" not in key
+
+        # assert that the headers are correct
+        ua = f"test-user-agent promptflow-tracing/{VERSION}"
+        assert headers[USER_AGENT_HEADER] == ua
+        promptflow_headers = json.loads(headers[PROMPTFLOW_HEADER])
+        assert promptflow_headers["flow_id"] == "test-flow-id"
+        assert promptflow_headers["root_run_id"] == "test-root-run-id"
+
+        context = OperationContext.get_instance()
+        context.dummy_key = "dummy_value"
+        headers = get_aoai_telemetry_headers()
+        promptflow_headers = json.loads(headers[PROMPTFLOW_HEADER])
+        assert "dummy_key" not in promptflow_headers  # not default telemetry
+
+        context._tracking_keys.add("dummy_key")
+        headers = get_aoai_telemetry_headers()
+        promptflow_headers = json.loads(headers[PROMPTFLOW_HEADER])
+        assert promptflow_headers["dummy_key"] == "dummy_value"  # telemetry key inserted
+
+
+@pytest.mark.unittest
+def test_openai_generator_proxy_sync():
+    def mock_openai(**kwargs):
+        # check if args has a stream parameter
+        if "stream" in kwargs and kwargs["stream"]:
+            # stream parameter is true, yield a string
+            def generator():
+                yield "This is a yielded string"
+
+            return generator()
+        else:
+            # stream parameter is false or not given, return a string
+            return "This is a returned string"
+
+    if IS_LEGACY_OPENAI:
+        apis = ["openai.Completion.create", "openai.ChatCompletion.create", "openai.Embedding.create"]
+    else:
+        apis = [
+            "openai.resources.Completions.create",
+            "openai.resources.chat.Completions.create",
+            "openai.resources.Embeddings.create",
+        ]
+
+    with patch(apis[0], new=mock_openai), patch(apis[1], new=mock_openai), patch(apis[2], new=mock_openai):
+        Tracer.start_tracing("mock_run_id")
+        inject_openai_api()
+
+        if IS_LEGACY_OPENAI:
+            return_string = openai.Completion.create(stream=False)
+            return_generator = openai.Completion.create(stream=True)
+        else:
+            return_string = openai.resources.Completions.create(stream=False)
+            return_generator = openai.resources.Completions.create(stream=True)
+
+        assert return_string == "This is a returned string"
+        assert isinstance(return_generator, GeneratorType)
+
+        for _ in return_generator:
+            pass
+
+        traces = Tracer.end_tracing()
+        assert len(traces) == 2
+        for trace in traces:
+            assert trace["type"] == "LLM"
+            if trace["inputs"]["stream"]:
+                assert trace["output"] == ["This is a yielded string"]
+            else:
+                assert trace["output"] == "This is a returned string"
+
+
+@pytest.mark.unittest
+@pytest.mark.asyncio
+async def test_openai_generator_proxy_async():
+    async def mock_openai(**kwargs):
+        # check if args has a stream parameter
+        if "stream" in kwargs and kwargs["stream"]:
+            # stream parameter is true, yield a string
+            def generator():
+                yield "This is a yielded string"
+
+            return generator()
+        else:
+            # stream parameter is false or not given, return a string
+            return "This is a returned string"
+
+    if IS_LEGACY_OPENAI:
+        apis = ["openai.Completion.acreate", "openai.ChatCompletion.acreate", "openai.Embedding.acreate"]
+    else:
+        apis = [
+            "openai.resources.AsyncCompletions.create",
+            "openai.resources.chat.AsyncCompletions.create",
+            "openai.resources.AsyncEmbeddings.create",
+        ]
+
+    with patch(apis[0], new=mock_openai), patch(apis[1], new=mock_openai), patch(apis[2], new=mock_openai):
+        Tracer.start_tracing("mock_run_id")
+        inject_openai_api()
+
+        if IS_LEGACY_OPENAI:
+            return_string = await openai.Completion.acreate(stream=False)
+            return_generator = await openai.Completion.acreate(stream=True)
+        else:
+            return_string = await openai.resources.AsyncCompletions.create(stream=False)
+            return_generator = await openai.resources.AsyncCompletions.create(stream=True)
+
+        assert return_string == "This is a returned string"
+        assert isinstance(return_generator, GeneratorType)
+
+        for _ in return_generator:
+            pass
+
+        traces = Tracer.end_tracing()
+        assert len(traces) == 2
+        for trace in traces:
+            assert trace["type"] == "LLM"
+            if trace["inputs"]["stream"]:
+                assert trace["output"] == ["This is a yielded string"]
+            else:
+                assert trace["output"] == "This is a returned string"
+
+
+# The new generator-based test function
+@pytest.mark.parametrize(
+    "is_legacy, expected_apis_with_injectors",
+    [
+        (
+            False,
+            [
+                (
+                    _openai_apis()[0],
+                    inject_sync,
+                ),
+                (
+                    _openai_apis()[1],
+                    inject_async,
+                ),
+            ],
+        ),
+        (
+            True,
+            [
+                (
+                    _legacy_openai_apis()[0],
+                    inject_sync,
+                ),
+                (
+                    _legacy_openai_apis()[1],
+                    inject_async,
+                ),
+            ],
+        ),
+    ],
+)
+def test_api_list(is_legacy, expected_apis_with_injectors):
+    with patch("promptflow.tracing._integrations._openai_injector.IS_LEGACY_OPENAI", is_legacy):
+        # Using list comprehension to get all items from the generator
+        actual_apis_with_injectors = list(_openai_api_list())
+        # Assert that the actual list matches the expected list
+        assert actual_apis_with_injectors == expected_apis_with_injectors
+
+
+@pytest.mark.parametrize(
+    "apis_with_injectors, expected_output, expected_logs",
+    [
+        (
+            [((("MockModule", "MockAPI", "create", TraceType.LLM, "Mock.create"),), inject_sync)],
+            [(MockAPI, "create", TraceType.LLM, inject_sync, "Mock.create")],
+            [],
+        ),
+        (
+            [((("MockModule", "MockAPI", "create", TraceType.LLM, "Mock.acreate"),), inject_async)],
+            [(MockAPI, "create", TraceType.LLM, inject_async, "Mock.acreate")],
+            [],
+        ),
+    ],
+)
+def test_generate_api_and_injector(apis_with_injectors, expected_output, expected_logs, caplog):
+    with patch("importlib.import_module", return_value=MagicMock(MockAPI=MockAPI)) as mock_import_module:
+        # Capture the logs
+        with caplog.at_level(logging.WARNING):
+            # Run the generator and collect the output
+            result = list(_generate_api_and_injector(apis_with_injectors))
+
+        # Check if the logs match the expected logs
+        assert len(caplog.records) == len(expected_logs)
+        for record, expected_message in zip(caplog.records, expected_logs):
+            assert expected_message in record.message
+
+        # Check if the result matches the expected output
+        assert result == expected_output
+
+    mock_import_module.assert_called_with("MockModule")
+
+
+def test_generate_api_and_injector_attribute_error_logging(caplog):
+    apis = [
+        ((("NonExistentModule", "NonExistentAPI", "create", TraceType.LLM, "create"),), MagicMock()),
+        (
+            (
+                (
+                    "MockModuleMissingMethod",
+                    "MockAPIMissingMethod",
+                    "missing_method",
+                    "missing_trace_type",
+                    "missing_name",
+                ),
+            ),
+            MagicMock(),
+        ),
+    ]
+
+    # Set up the side effect for the mock
+    def import_module_effect(name):
+        if name == "MockModuleMissingMethod":
+            module = MagicMock()
+            delattr(module, "MockAPIMissingMethod")  # Use delattr to remove the attribute
+            return module
+        else:
+            raise ModuleNotFoundError(f"No module named '{name}'")
+
+    with patch("importlib.import_module") as mock_import_module:
+        mock_import_module.side_effect = import_module_effect
+        with caplog.at_level(logging.WARNING):
+            list(_generate_api_and_injector(apis))
+
+        assert len(caplog.records) == 2
+        assert "An unexpected error occurred" in caplog.records[0].message
+        assert "NonExistentModule" in caplog.records[0].message
+        assert "does not have the class" in caplog.records[1].message
+        assert "MockAPIMissingMethod" in caplog.records[1].message
+
+    # Verify that `importlib.import_module` was called with correct module names
+    mock_import_module.assert_any_call("NonExistentModule")
+    mock_import_module.assert_any_call("MockModuleMissingMethod")
+
+
+@pytest.mark.unittest
+def test_inject_and_recover_openai_api():
+    class FakeAPIWithoutOriginal:
+        @staticmethod
+        def create():
+            pass
+
+    class FakeAPIWithOriginal:
+        @staticmethod
+        def create():
+            pass
+
+    def dummy_api():
+        pass
+
+    # Real injector function that adds an _original attribute
+    def injector(f, trace_type, name):
+        def wrapper_fun(*args, **kwargs):
+            return f(*args, **kwargs)
+
+        wrapper_fun._original = f
+        return wrapper_fun
+
+    # Set an _original attribute for the create method of FakeAPIWithOriginal
+    FakeAPIWithOriginal.create._original = dummy_api
+
+    # Store the original create methods before injection
+    original_api_without_original = FakeAPIWithoutOriginal.create
+    original_api_with_original = FakeAPIWithOriginal.create
+
+    # Mock the generator function to yield our mocked api and method
+    with patch(
+        "promptflow.tracing._integrations._openai_injector.available_openai_apis_and_injectors",
+        return_value=[
+            (FakeAPIWithoutOriginal, "create", TraceType.LLM, injector, "create"),
+            (FakeAPIWithOriginal, "create", TraceType.LLM, injector, "create"),
+        ],
+    ):
+        # Call the function to inject the APIs
+        inject_openai_api()
+
+        # Check that the _original attribute was set for the method that didn't have it
+        assert hasattr(FakeAPIWithoutOriginal.create, "_original")
+        # Ensure the _original attribute points to the correct original method
+        assert FakeAPIWithoutOriginal.create._original is original_api_without_original
+
+        # Check that the injector was not applied again to the method that already had an _original attribute
+        # The _original attribute should still point to the mock, not the original method
+        assert getattr(FakeAPIWithOriginal.create, "_original") is not FakeAPIWithOriginal.create
+        # The original method should remain unchanged
+        assert FakeAPIWithOriginal.create is original_api_with_original
+
+        # Call the function to recover the APIs
+        recover_openai_api()
+
+        # Check that the _original attribute was removed for the method that didn't have it
+        assert not hasattr(FakeAPIWithoutOriginal.create, "_original")
+        assert not hasattr(FakeAPIWithOriginal.create, "_original")
+
+        # The original methods should be restored
+        assert FakeAPIWithoutOriginal.create is original_api_without_original
+        assert FakeAPIWithOriginal.create is dummy_api
diff --git a/src/promptflow-tracing/tests/unittests/test_operation_context.py b/src/promptflow-tracing/tests/unittests/test_operation_context.py
new file mode 100644
index 00000000000..5aff5e40593
--- /dev/null
+++ b/src/promptflow-tracing/tests/unittests/test_operation_context.py
@@ -0,0 +1,118 @@
+import threading
+
+import pytest
+
+from promptflow.tracing._operation_context import OperationContext
+from promptflow.tracing._version import VERSION
+
+
+def run_test_with_new_context(assert_func):
+    context = OperationContext.get_instance()
+    assert_func(context)
+    context.set_instance(None)
+
+
+@pytest.mark.unittest
+class TestOperationContext:
+    def test_copy_and_set_instance(self):
+        def assert_context(context):
+            original_context = context
+            original_context._add_otel_attributes("test_key", "test_value")
+            context_copy = original_context.copy()
+            OperationContext.set_instance(context_copy)
+            context = OperationContext.get_instance()
+            context._add_otel_attributes("test_key2", "test_value2")
+            assert context._get_otel_attributes() == {"test_key": "test_value", "test_key2": "test_value2"}
+            assert original_context._get_otel_attributes() == {"test_key": "test_value"}
+
+        run_test_with_new_context(assert_context)
+
+    def test_user_agent(self):
+        def assert_context(context):
+            context.append_user_agent("test_agent/0.0.1")
+            context.append_user_agent("test_agent/0.0.2")
+            assert context.get_user_agent() == f"test_agent/0.0.1 test_agent/0.0.2 promptflow-tracing/{VERSION}"
+
+        run_test_with_new_context(assert_context)
+
+    def test_get_request_id(self):
+        def assert_context(context):
+            assert context.get_request_id() == "unknown"
+            context["request_id"] = "test_request_id"
+            assert context.get_request_id() == "test_request_id"
+
+        run_test_with_new_context(assert_context)
+
+    def test_context_dict(self):
+        def assert_context(context):
+            context.test_key = "test_value"
+            context.test_key2 = "test_value2"
+            context_dict = context.get_context_dict()
+            assert context_dict["test_key"] == "test_value"
+            assert context_dict["test_key2"] == "test_value2"
+        run_test_with_new_context(assert_context)
+
+    def test_setattr(self):
+        def assert_context(context):
+            # 1. Normal case
+            context.test_key = "test_value"
+            assert context["test_key"] == "test_value"
+            # 2. Non-primitive type value
+            context.test_key = [1, 2, 3]
+            assert context["test_key"] == [1, 2, 3]
+        run_test_with_new_context(assert_context)
+
+    def test_getattr(self):
+        def assert_context(context):
+            # 1. Normal case
+            context["test_key"] = "test_value"
+            assert context.test_key == "test_value"
+            # 2. Non-existent key
+            with pytest.raises(AttributeError):
+                context.non_exist_key
+        run_test_with_new_context(assert_context)
+
+    def test_delattr(self):
+        def assert_context(context):
+            # 1. Normal case
+            context.test_key = "test_value"
+            del context.test_key
+            assert "test_key" not in context
+            # 2. Non-existent key
+            with pytest.raises(AttributeError):
+                del context.non_exist_key
+        run_test_with_new_context(assert_context)
+
+    def test_default_tracing_keys(self):
+        def assert_context(context):
+            context.set_default_tracing_keys({"test_key", "test_key2"})
+            assert context._tracking_keys == {"test_key", "test_key2"}
+            context.set_default_tracing_keys({"test_key3"})
+            assert context._tracking_keys == {"test_key", "test_key2", "test_key3"}
+        run_test_with_new_context(assert_context)
+
+    def test_get_instance(self):
+        context1 = OperationContext.get_instance()
+        context2 = OperationContext.get_instance()
+        assert context1 is context2
+
+    def test_different_thread_have_different_instance(self):
+        # create a list to store the OperationContext instances from each thread
+        instances = []
+
+        # define a function that gets the OperationContext instance and appends it to the list
+        def get_instance():
+            instance = OperationContext.get_instance()
+            instances.append(instance)
+
+        # create two threads and run the function in each thread
+        thread1 = threading.Thread(target=get_instance)
+        thread2 = threading.Thread(target=get_instance)
+        thread1.start()
+        thread2.start()
+        thread1.join()
+        thread2.join()
+
+        # assert that the list has two elements and they are different objects
+        assert len(instances) == 2
+        assert instances[0] is not instances[1]
diff --git a/src/promptflow-tracing/tests/unittests/test_start_trace.py b/src/promptflow-tracing/tests/unittests/test_start_trace.py
new file mode 100644
index 00000000000..78f36383b02
--- /dev/null
+++ b/src/promptflow-tracing/tests/unittests/test_start_trace.py
@@ -0,0 +1,57 @@
+# ---------------------------------------------------------
+# Copyright (c) Microsoft Corporation. All rights reserved.
+# ---------------------------------------------------------
+
+import uuid
+
+import pytest
+from opentelemetry import trace
+from opentelemetry.sdk.trace import TracerProvider
+from pytest_mock import MockerFixture
+
+import promptflow.tracing._start_trace
+from promptflow.tracing import start_trace
+from promptflow.tracing._constants import (
+    PF_TRACING_SKIP_LOCAL_SETUP_ENVIRON,
+    RESOURCE_ATTRIBUTES_SERVICE_NAME,
+    ResourceAttributesFieldName,
+)
+
+
+@pytest.mark.unittest
+class TestStartTrace:
+    def test_tracer_provider_after_start_trace(self) -> None:
+        start_trace()
+        tracer_provider = trace.get_tracer_provider()
+        assert isinstance(tracer_provider, TracerProvider)
+        attrs = tracer_provider.resource.attributes
+        assert attrs[ResourceAttributesFieldName.SERVICE_NAME] == RESOURCE_ATTRIBUTES_SERVICE_NAME
+        assert ResourceAttributesFieldName.COLLECTION not in attrs
+
+    def test_tracer_provider_overwritten(self) -> None:
+        trace.set_tracer_provider(TracerProvider())
+        old_tracer_provider = trace.get_tracer_provider()
+        start_trace()
+        new_tracer_provider = trace.get_tracer_provider()
+        assert id(old_tracer_provider) != id(new_tracer_provider)
+
+    def test_tracer_provider_resource_attributes(self) -> None:
+        collection = str(uuid.uuid4())
+        res_attrs = {"attr1": "value1", "attr2": "value2"}
+        start_trace(resource_attributes=res_attrs, collection=collection)
+        tracer_provider: TracerProvider = trace.get_tracer_provider()
+        attrs = tracer_provider.resource.attributes
+        assert attrs[ResourceAttributesFieldName.COLLECTION] == collection
+        assert attrs["attr1"] == "value1"
+        assert attrs["attr2"] == "value2"
+
+    def test_skip_tracing_local_setup(self, monkeypatch: pytest.MonkeyPatch, mocker: MockerFixture) -> None:
+        spy = mocker.spy(promptflow.tracing._start_trace, "_is_devkit_installed")
+        # configured environ to skip local setup
+        with monkeypatch.context() as m:
+            m.setenv(PF_TRACING_SKIP_LOCAL_SETUP_ENVIRON, "true")
+            start_trace()
+            assert spy.call_count == 0
+        # no environ, should call local setup once
+        start_trace()
+        assert spy.call_count == 1
diff --git a/src/promptflow-tracing/tests/unittests/test_trace.py b/src/promptflow-tracing/tests/unittests/test_trace.py
new file mode 100644
index 00000000000..273974c8a65
--- /dev/null
+++ b/src/promptflow-tracing/tests/unittests/test_trace.py
@@ -0,0 +1,286 @@
+import json
+import time
+from enum import Enum
+from unittest.mock import patch
+
+import pytest
+from openai.types.create_embedding_response import CreateEmbeddingResponse, Embedding, Usage
+
+from promptflow.tracing._operation_context import OperationContext
+from promptflow.tracing._trace import (
+    TokenCollector,
+    enrich_span_with_context,
+    enrich_span_with_embedding,
+    enrich_span_with_input,
+    enrich_span_with_llm,
+    enrich_span_with_openai_tokens,
+    enrich_span_with_prompt_info,
+    enrich_span_with_trace,
+    serialize_attribute,
+)
+from promptflow.tracing.contracts.trace import TraceType
+
+
+class MockSpan:
+    def __init__(self, span_context, parent=None, raise_exception_for_attr=False):
+        self.span_context = span_context
+        self.name = "mock_span"
+        self.parent = parent
+        self.raise_exception_for_attr = raise_exception_for_attr
+        self.attributes = {}
+        self.events = []
+
+    def get_span_context(self):
+        return self.span_context
+
+    def set_attribute(self, key, value):
+        if not self.raise_exception_for_attr:
+            self.attributes[key] = value
+        else:
+            raise Exception("Dummy Error")
+
+    def set_attributes(self, attributes):
+        if not self.raise_exception_for_attr:
+            self.attributes.update(attributes)
+        else:
+            raise Exception("Dummy Error")
+
+    def add_event(self, name: str, attributes=None, timestamp=None):
+        self.events.append(MockEvent(name, attributes, timestamp))
+
+    def __enter__(self):
+        return self
+
+    def __exit__(self, exc_type, exc_value, traceback):
+        return False
+
+
+class MockEvent:
+    def __init__(self, name, attributes, timestamp=None):
+        self.name = name
+        self.attributes = attributes
+        self.timestamp = timestamp or int(time.time())
+
+
+class MockSpanContext:
+    def __init__(self, span_id):
+        self.span_id = span_id
+
+
+class MockOutput:
+    def __init__(self, prompt_tokens, completion_token, total_tokens):
+        self.usage = MockUsage(prompt_tokens, completion_token, total_tokens)
+
+
+class MockUsage:
+    def __init__(self, prompt_tokens, completion_token, total_tokens):
+        self.prompt_tokens = prompt_tokens
+        self.completion_token = completion_token
+        self.total_tokens = total_tokens
+
+    def dict(self):
+        return {
+            "prompt_tokens": self.prompt_tokens,
+            "completion_token": self.completion_token,
+            "total_tokens": self.total_tokens,
+        }
+
+
+class MockTrace:
+    def __init__(self, function, type):
+        self.function = function
+        self.type = type
+
+
+class MockTraceType(Enum):
+    TYPE_1 = "type_1"
+
+
+@pytest.mark.unittest
+def test_token_collector():
+    """
+      1
+    / |
+    2  3
+    |
+    4
+    """
+    token_collector = TokenCollector()
+    span_1 = MockSpan(MockSpanContext(1))
+    span_2 = MockSpan(MockSpanContext(2), parent=span_1.span_context)
+    span_3 = MockSpan(MockSpanContext(3), parent=span_1.span_context)
+    span_4 = MockSpan(MockSpanContext(4), parent=span_2.span_context)
+
+    output_3 = MockOutput(7, 13, 20)
+    output_4 = MockOutput(17, 13, 30)
+    token_collector.collect_openai_tokens(span_3, output_3)
+    token_collector.collect_openai_tokens_for_parent_span(span_3)
+    token_collector.collect_openai_tokens(span_4, output_4)
+    token_collector.collect_openai_tokens_for_parent_span(span_4)
+    token_collector.collect_openai_tokens_for_parent_span(span_2)
+    token_collector.collect_openai_tokens_for_parent_span(span_1)
+    assert token_collector._span_id_to_tokens == {
+        1: {"prompt_tokens": 24, "completion_token": 26, "total_tokens": 50},
+        2: {"prompt_tokens": 17, "completion_token": 13, "total_tokens": 30},
+        3: {"prompt_tokens": 7, "completion_token": 13, "total_tokens": 20},
+        4: {"prompt_tokens": 17, "completion_token": 13, "total_tokens": 30},
+    }
+
+
+@pytest.mark.unittest
+def test_enrich_span_with_context(caplog):
+    with patch.object(OperationContext, "_get_otel_attributes", return_value={"test_key": "test_value"}):
+        # Normal case
+        span = MockSpan(MockSpanContext(1))
+        enrich_span_with_context(span)
+        assert span.attributes == {"test_key": "test_value"}
+
+        # Raise exception when update attributes
+        span = MockSpan(MockSpanContext(1), raise_exception_for_attr=True)
+        enrich_span_with_context(span)
+        assert caplog.records[0].levelname == "WARNING"
+        assert "Failed to enrich span with context" in caplog.text
+
+
+@pytest.mark.unittest
+def test_enrich_span_with_trace(caplog):
+    with patch("promptflow.tracing._trace.get_node_name_from_context", return_value="test_node_name"):
+        # Normal case
+        span = MockSpan(MockSpanContext(1))
+        trace = MockTrace("test_trace", MockTraceType.TYPE_1)
+        enrich_span_with_trace(span, trace)
+        assert span.attributes == {
+            "framework": "promptflow",
+            "span_type": "type_1",
+            "function": "test_trace",
+            "node_name": "test_node_name",
+        }
+
+        # Raise exception when update attributes
+        span = MockSpan(MockSpanContext(1), raise_exception_for_attr=True)
+        enrich_span_with_trace(span, trace)
+        assert caplog.records[0].levelname == "WARNING"
+        assert "Failed to enrich span with trace" in caplog.text
+
+
+@pytest.mark.unittest
+def test_enrich_span_with_prompt_info(caplog):
+    with patch("promptflow.tracing._trace.get_prompt_param_name_from_func", return_value="prompt_tpl"), patch(
+        "promptflow.tracing._trace.get_input_names_for_prompt_template", return_value=["input_1", "input_2"]
+    ):
+        test_prompt_args = {"prompt_tpl": "prompt_tpl", "input_1": "value_1", "input_2": "value_2"}
+        expected_prompt_info = {
+            "prompt.template": "prompt_tpl",
+            "prompt.variables": '{\n  "input_1": "value_1",\n  "input_2": "value_2"\n}',
+        }
+
+        # Normal case
+        span = MockSpan(MockSpanContext(1))
+        enrich_span_with_prompt_info(span, None, test_prompt_args)
+
+        assert span.attributes == expected_prompt_info
+        assert span.events[0].name == "promptflow.prompt.template"
+        assert span.events[0].attributes == {"payload": serialize_attribute(expected_prompt_info)}
+
+        # Raise exception when update attributes
+        span = MockSpan(MockSpanContext(1), raise_exception_for_attr=True)
+        enrich_span_with_prompt_info(span, None, test_prompt_args)
+
+        assert caplog.records[0].levelname == "WARNING"
+        assert "Failed to enrich span with prompt info" in caplog.text
+
+
+@pytest.mark.unittest
+def test_enrich_span_with_input(caplog):
+    # Normal case
+    span = MockSpan(MockSpanContext(1))
+    enrich_span_with_input(span, "input")
+    assert span.attributes == {"inputs": '"input"'}
+
+    # Raise exception when update attributes
+    span = MockSpan(MockSpanContext(1), raise_exception_for_attr=True)
+    enrich_span_with_input(span, "input")
+    assert caplog.records[0].levelname == "WARNING"
+    assert "Failed to enrich span with input" in caplog.text
+
+
+@pytest.mark.unittest
+def test_enrich_span_with_openai_tokens(caplog):
+    tokens = {"prompt_tokens": 10, "completion_token": 20, "total_tokens": 30}
+    cumulative_tokens = {f"__computed__.cumulative_token_count.{k.split('_')[0]}": v for k, v in tokens.items()}
+    llm_tokens = {f"llm.usage.{k}": v for k, v in tokens.items()}
+    llm_tokens.update(cumulative_tokens)
+    with patch("promptflow.tracing._trace.token_collector.try_get_openai_tokens", return_value=tokens):
+        # Normal case
+        span = MockSpan(MockSpanContext(1))
+        enrich_span_with_openai_tokens(span, TraceType.FUNCTION)
+        assert span.attributes == cumulative_tokens
+
+        # LLM case
+        span = MockSpan(MockSpanContext(1))
+        enrich_span_with_openai_tokens(span, TraceType.LLM)
+        assert span.attributes == llm_tokens
+
+        # Embedding case
+        span = MockSpan(MockSpanContext(1))
+        enrich_span_with_openai_tokens(span, TraceType.EMBEDDING)
+        assert span.attributes == llm_tokens
+
+        # Raise exception when update attributes
+        span = MockSpan(MockSpanContext(1), raise_exception_for_attr=True)
+        enrich_span_with_openai_tokens(span, TraceType.FUNCTION)
+        assert caplog.records[0].levelname == "WARNING"
+        assert "Failed to enrich span with openai tokens" in caplog.text
+
+
+@pytest.mark.unittest
+def test_enrich_span_with_llm():
+    span = MockSpan(MockSpanContext(1))
+    model = "test_model"
+    generated_message = "test_message"
+
+    enrich_span_with_llm(span, model, generated_message)
+
+    span.attributes == {
+        "llm.response.model": model,
+        "llm.generated_message": generated_message,
+    }
+    span.events[0].name == "promptflow.llm.generated_message"
+    span.events[0].attributes == {"payload": serialize_attribute(generated_message)}
+
+
+@pytest.mark.unittest
+def test_enrich_span_with_embedding():
+    span = MockSpan(MockSpanContext(1))
+    test_inputs = {"input": "test"}
+    test_embedding = Embedding(index=0, embedding=[0.1, 0.2, 0.3], object="embedding")
+    usage = Usage(prompt_tokens=10, total_tokens=20)
+    test_response = CreateEmbeddingResponse(model="gpt-3", data=[test_embedding], object="list", usage=usage)
+
+    expected_embedding = [{"embedding.vector": "<3 dimensional vector>", "embedding.text": "test"}]
+    expected_attributes = {
+        "llm.response.model": "gpt-3",
+        "embedding.embeddings": serialize_attribute(expected_embedding),
+    }
+
+    enrich_span_with_embedding(span, test_inputs, test_response)
+
+    assert span.attributes == expected_attributes
+    assert span.events[0].name == "promptflow.embedding.embeddings"
+    assert span.events[0].attributes == {"payload": serialize_attribute(expected_embedding)}
+
+
+@pytest.mark.unittest
+def test_serialize_attribute_with_serializable_data():
+    data = {"key": "value"}
+    result = serialize_attribute(data)
+    assert result == json.dumps(data, indent=2)
+
+
+@pytest.mark.unittest
+def test_serialize_attribute_with_non_serializable_data():
+    class NonSerializable:
+        pass
+
+    data = NonSerializable()
+    assert serialize_attribute(data) == json.dumps(str(data))
diff --git a/src/promptflow-tracing/tests/unittests/test_utils.py b/src/promptflow-tracing/tests/unittests/test_utils.py
new file mode 100644
index 00000000000..c962657fad4
--- /dev/null
+++ b/src/promptflow-tracing/tests/unittests/test_utils.py
@@ -0,0 +1,85 @@
+from dataclasses import dataclass
+from datetime import datetime
+from enum import Enum
+
+import pytest
+
+from promptflow.tracing._utils import get_input_names_for_prompt_template, get_prompt_param_name_from_func, serialize
+from promptflow.tracing.contracts.generator_proxy import GeneratorProxy
+
+
+class DummyEnum(Enum):
+    ITEM = "Item"
+
+
+@pytest.mark.unittest
+@pytest.mark.parametrize(
+    "value, expected",
+    [
+        (datetime(2023, 9, 4), "2023-09-04T00:00:00Z"),
+        (DummyEnum.ITEM, "Item"),
+        ([1, 2, 3], [1, 2, 3]),
+        ({"a": 1, "b": 2}, {"a": 1, "b": 2}),
+        (1, 1),
+        ("a", "a"),
+    ],
+)
+def test_serialize(value, expected):
+    assert serialize(value) == expected
+
+
+@pytest.mark.unittest
+def test_serialize_dataclass():
+    @dataclass
+    class DummyDataClass:
+        item: str
+        optional_item: str = None
+
+    @dataclass
+    class DataClassWithSerialize:
+        item: str
+
+        def serialize(self):
+            return f"The item is {self.item}."
+
+    assert serialize(DummyDataClass("text", "text")) == {"item": "text", "optional_item": "text"}
+    assert serialize(DummyDataClass("text")) == {"item": "text", "optional_item": None}
+    assert serialize(DummyDataClass("text"), remove_null=True) == {"item": "text"}
+    assert serialize(DataClassWithSerialize("text")) == "The item is text."
+
+
+@pytest.mark.unittest
+def test_serialize_with_serialization_funcs():
+    class DummyClass:
+        def __init__(self, item):
+            self.item = item
+
+        def serialize(self):
+            return {"item": self.item}
+
+    serialization_funcs = {DummyClass: DummyClass.serialize}
+    assert serialize(DummyClass("test"), serialization_funcs=serialization_funcs) == {"item": "test"}
+
+
+@pytest.mark.unittest
+def test_serialize_generator():
+    def generator():
+        for i in range(3):
+            yield i
+
+    g = GeneratorProxy(generator())
+    next(g), next(g), next(g)
+    assert serialize(g) == [0, 1, 2]
+
+
+@pytest.mark.unittest
+def test_get_input_names_for_prompt_template():
+    assert get_input_names_for_prompt_template("{{input}}") == []
+
+
+@pytest.mark.unittest
+def test_get_prompt_param_name_from_func():
+    def dummy_func(input: str):
+        pass
+
+    assert get_prompt_param_name_from_func(dummy_func) is None
diff --git a/src/promptflow-tracing/tests/utils.py b/src/promptflow-tracing/tests/utils.py
new file mode 100644
index 00000000000..550d95a088c
--- /dev/null
+++ b/src/promptflow-tracing/tests/utils.py
@@ -0,0 +1,40 @@
+import traceback
+from multiprocessing import Queue, get_context
+
+from opentelemetry.sdk.trace import TracerProvider
+from opentelemetry.sdk.trace.export import SimpleSpanProcessor
+from opentelemetry.sdk.trace.export.in_memory_span_exporter import InMemorySpanExporter
+from opentelemetry.trace import set_tracer_provider
+
+
+def execute_function_in_subprocess(func, *args, **kwargs):
+    """
+    Execute a function in a new process and return any exception that occurs.
+    Replace pickle with dill for better serialization capabilities.
+    """
+    ctx = get_context("spawn")
+    error_queue = ctx.Queue()
+    process = ctx.Process(target=_run_in_subprocess, args=(error_queue, func, args, kwargs))
+    process.start()
+    process.join()  # Wait for the process to finish
+
+    if not error_queue.empty():
+        err, stacktrace_str = error_queue.get()
+        raise Exception(f"An error occurred in the subprocess: {err}\nStacktrace:\n{stacktrace_str}")
+    assert process.exitcode == 0, f"Subprocess exited with code {process.exitcode}"
+
+
+def _run_in_subprocess(error_queue: Queue, func, args, kwargs):
+    try:
+        func(*args, **kwargs)
+    except BaseException as e:
+        error_queue.put((repr(e), traceback.format_exc()))
+
+
+def prepare_memory_exporter():
+    provider = TracerProvider()
+    exporter = InMemorySpanExporter()
+    processor = SimpleSpanProcessor(exporter)
+    provider.add_span_processor(processor)
+    set_tracer_provider(provider)
+    return exporter
diff --git a/src/promptflow/CHANGELOG.md b/src/promptflow/CHANGELOG.md
index 8aa946ad81f..3ddc1792999 100644
--- a/src/promptflow/CHANGELOG.md
+++ b/src/promptflow/CHANGELOG.md
@@ -1,22 +1,32 @@
 # Release History
 
-## 1.7.0 (Upcoming)
+## 1.8.0 (Upcoming)
 
 ### Features Added
-
-- [SDK/CLI] Create a run with `resume_from`, note that only run created with `promptflow>=1.7.0` can be used as the value of `resume_from`:
+- [SDK/CLI] Create a run with `resume_from`, note that only run created with `promptflow>=1.8.0` can be used as the value of `resume_from`:
   - CLI: Support `pf run create --resume-from <original-run-name>` to create a run resume from another run.
   - SDK: Support `pf.run(resume_from=<original-run-name>)` to create a run resume from another run.
 - [SDK/CLI][azure] Create a run with `resume_from`.
   - CLI: Support `pfazure run create --resume-from <original-run-name>` to create a run resume from another run.
-  - SDK: Support `pf.run(resume_from=<original-run-name>)` to create a run resume from another run.
-- [SDK] Support flow exectue as async function: `load_flow(<flow>, is_async_call=True)` will return an async callable flow object.
+  - SDK: Support `p.run(resume_from=<original-run-name>)` to create a run resume from another run.
+
 
+## 1.7.0 (2024.03.25)
+
+### NOTICES
+- Import warnings will be printed when importing from `promptflow` namespace, please use imports from new namespaces
+  suggested in the warning message.
+
+### Features Added
+- [Batch] Added per-line logging for batch runs, stored under the `flow_logs` folder.
 - [SDK/CLI] Support `AzureOpenAIConnection.from_env` and `OpenAIConnection.from_env`. Reach more details [here](https://microsoft.github.io/promptflow/how-to-guides/manage-connections.html#load-from-environment-variables).
 
 ### Bugs Fixed
 
 - [SDK/CLI] environment variable `PF_HOME_DIRECTORY` doesn't work for run details & logs.
+- [SDK/CLI] Support override hard coded "deployment_name" and "model".
+- [SDK] `connection.provider` config doesn't work when calling flow as a function.
+- [SDK/CLI] Support override unprovided connection inputs in nodes.
 
 ## 1.6.0 (2024.03.01)
 
diff --git a/src/promptflow/MANIFEST.in b/src/promptflow/MANIFEST.in
index 298b1e48280..e69de29bb2d 100644
--- a/src/promptflow/MANIFEST.in
+++ b/src/promptflow/MANIFEST.in
@@ -1,6 +0,0 @@
-include promptflow/azure/resources/*
-include promptflow/_sdk/_serving/static/*
-include promptflow/_sdk/_service/static/*
-include promptflow/_sdk/_service/templates/*
-recursive-include promptflow/_cli/data *
-recursive-include promptflow/_sdk/data *
diff --git a/src/promptflow/pf b/src/promptflow/pf
deleted file mode 100644
index 0447b972c1d..00000000000
--- a/src/promptflow/pf
+++ /dev/null
@@ -1,9 +0,0 @@
-#!/usr/bin/env python
-
-import sys
-import os
-
-if os.environ.get('PF_INSTALLER') is None:
-    os.environ['PF_INSTALLER'] = 'PIP'
-
-os.execl(sys.executable, sys.executable, '-m', 'promptflow._cli._pf.entry', *sys.argv[1:])
diff --git a/src/promptflow/pf.bat b/src/promptflow/pf.bat
deleted file mode 100644
index 81105d54505..00000000000
--- a/src/promptflow/pf.bat
+++ /dev/null
@@ -1,10 +0,0 @@
-@echo off
-setlocal
-
-SET PF_INSTALLER=PIP
-
-IF EXIST "%~dp0\python.exe" (
-  "%~dp0\python.exe" -m promptflow._cli._pf.entry %*
-) ELSE (
-  python -m promptflow._cli._pf.entry %*
-)
diff --git a/src/promptflow/promptflow/__init__.py b/src/promptflow/promptflow/__init__.py
index 38344b20407..202dc5cb06b 100644
--- a/src/promptflow/promptflow/__init__.py
+++ b/src/promptflow/promptflow/__init__.py
@@ -3,20 +3,58 @@
 # ---------------------------------------------------------
 __path__ = __import__("pkgutil").extend_path(__path__, __name__)  # type: ignore
 
-from promptflow._core.metric_logger import log_metric
+import logging
+from typing import Any
 
-# flake8: noqa
-from promptflow._core.tool import ToolProvider, tool
+# Note: Keep old import ensure import order
+# Keep old import as hidden to let __getattr__ works
+from promptflow._core.metric_logger import log_metric as _log_metric
+from promptflow._core.tool import ToolProvider as _ToolProvider
+from promptflow._core.tool import tool as _tool
 
 # control plane sdk functions
-from promptflow._sdk._load_functions import load_flow, load_run
+from promptflow._sdk._load_functions import load_flow as _load_flow
+from promptflow._sdk._load_functions import load_run as _load_run
+from promptflow._sdk._pf_client import PFClient as _PFClient
 
-from ._sdk._pf_client import PFClient
+# flake8: noqa
 from ._version import VERSION
 
-# backward compatibility
-log_flow_metric = log_metric
-
 __version__ = VERSION
 
-__all__ = ["PFClient", "load_flow", "load_run", "log_metric", "ToolProvider", "tool"]
+_core_attr = ["log_metric", "ToolProvider", "tool"]
+_client_attr = ["PFClient", "load_flow", "load_run"]
+_imported_attr = {}
+
+
+def _log_warning(name, target_module, target_name=None) -> Any:
+    target_name = name if not target_name else target_name
+    legacy_import = f"from promptflow import {name}"
+    new_import = f"from promptflow.{target_module} import {target_name}"
+    logging.warning(f"{legacy_import!r} is deprecated and will be removed in the future. Use {new_import!r} instead.")
+
+
+def __getattr__(name):
+    if name in _imported_attr:
+        return _imported_attr[name]
+    if name in _core_attr:
+        from promptflow.core import ToolProvider, log_metric, tool
+
+        _log_warning(name, "core")
+        _imported_attr[name] = locals()[name]
+        return _imported_attr[name]
+    if name in _client_attr:
+        # control plane sdk functions
+        from promptflow.client import PFClient, load_flow, load_run
+
+        _log_warning(name, "client")
+        _imported_attr[name] = locals()[name]
+        return _imported_attr[name]
+    if name == "log_flow_metric":
+        # backward compatibility
+        from promptflow.core import log_metric
+
+        _log_warning(name, "core", "log_metric")
+        _imported_attr[name] = log_metric
+        return _imported_attr[name]
+    raise AttributeError(f"module {__name__!r} has no attribute {name!r}")
diff --git a/src/promptflow/promptflow/_cli/data/entry_flow/requirements_txt b/src/promptflow/promptflow/_cli/data/entry_flow/requirements_txt
deleted file mode 100644
index 2201c932fb3..00000000000
--- a/src/promptflow/promptflow/_cli/data/entry_flow/requirements_txt
+++ /dev/null
@@ -1 +0,0 @@
-promptflow
\ No newline at end of file
diff --git a/src/promptflow/promptflow/_sdk/_orm/trace.py b/src/promptflow/promptflow/_sdk/_orm/trace.py
deleted file mode 100644
index a42eb1844b5..00000000000
--- a/src/promptflow/promptflow/_sdk/_orm/trace.py
+++ /dev/null
@@ -1,130 +0,0 @@
-# ---------------------------------------------------------
-# Copyright (c) Microsoft Corporation. All rights reserved.
-# ---------------------------------------------------------
-
-import copy
-import typing
-
-from sqlalchemy import TEXT, Column, Index, text
-from sqlalchemy.exc import IntegrityError
-from sqlalchemy.orm import Query, declarative_base
-
-from promptflow._sdk._constants import SPAN_TABLENAME, TRACE_LIST_DEFAULT_LIMIT
-
-from .retry import sqlite_retry
-from .session import trace_mgmt_db_session
-
-Base = declarative_base()
-
-
-class Span(Base):
-    __tablename__ = SPAN_TABLENAME
-
-    name = Column(TEXT, nullable=False)
-    trace_id = Column(TEXT, nullable=False)
-    span_id = Column(TEXT, primary_key=True)
-    parent_span_id = Column(TEXT, nullable=True)
-    span_type = Column(TEXT, nullable=False)  # Function/Tool/Flow/LLM/LangChain...
-    session_id = Column(TEXT, nullable=False)
-    content = Column(TEXT)  # JSON string
-    # prompt flow concepts
-    path = Column(TEXT, nullable=True)
-    run = Column(TEXT, nullable=True)
-    experiment = Column(TEXT, nullable=True)
-
-    __table_args__ = (
-        Index("idx_span_name", "name"),
-        Index("idx_span_span_type", "span_type"),
-        Index("idx_span_session_id", "session_id"),
-        Index("idx_span_run", "run"),
-        Index("idx_span_experiment", "experiment"),
-    )
-
-    @sqlite_retry
-    def persist(self) -> None:
-        with trace_mgmt_db_session() as session:
-            try:
-                session.add(self)
-                session.commit()
-            except IntegrityError as e:
-                # ignore "sqlite3.IntegrityError: UNIQUE constraint failed"
-                # according to OTLP 1.1.0: https://opentelemetry.io/docs/specs/otlp/#duplicate-data
-                # there might be duplicate data, we silently ignore it here
-                if "UNIQUE constraint failed" not in str(e):
-                    raise
-
-    @staticmethod
-    @sqlite_retry
-    def list(
-        session_id: typing.Optional[str] = None,
-        trace_ids: typing.Optional[typing.List[str]] = None,
-    ) -> typing.List["Span"]:
-        with trace_mgmt_db_session() as session:
-            stmt: Query = session.query(Span)
-            if session_id is not None:
-                stmt = stmt.filter(Span.session_id == session_id)
-            if trace_ids is not None:
-                stmt = stmt.filter(Span.trace_id.in_(trace_ids))
-            stmt = stmt.order_by(text("json_extract(span.content, '$.start_time') asc"))
-            if session_id is None and trace_ids is None:
-                stmt = stmt.limit(TRACE_LIST_DEFAULT_LIMIT)
-            return [span for span in stmt.all()]
-
-    @staticmethod
-    def list_with_runs(runs: typing.List[str]) -> typing.List["Span"]:
-        with trace_mgmt_db_session() as session:
-            stmt: Query = session.query(Span)
-            runs_string = ""
-            for run in runs:
-                runs_string += f"'{run}',"
-            runs_string = runs_string[:-1]  # remove the last comma
-            stmt = stmt.filter(
-                text(
-                    "(parent_span_id is null OR parent_span_id = '') AND "
-                    f"(json_extract(json_extract(span.content, '$.attributes'), '$.batch_run_id') in ({runs_string}) OR "  # noqa: E501
-                    f"json_extract(json_extract(span.content, '$.attributes'), '$.\"referenced.batch_run_id\"') in ({runs_string}))"  # noqa: E501
-                )
-            )
-            stmt = stmt.order_by(
-                Span.trace_id,
-                text("json_extract(span.content, '$.start_time') asc"),
-            )
-            return [span for span in stmt.all()]
-
-
-class LineRun:
-    """Line run is an abstraction of spans, which is not persisted in the database."""
-
-    @staticmethod
-    def list(
-        session_id: typing.Optional[str] = None,
-        experiments: typing.Optional[typing.List[str]] = None,
-    ) -> typing.List[typing.List[Span]]:
-        with trace_mgmt_db_session() as session:
-            stmt: Query = session.query(Span)
-            if session_id is not None:
-                stmt = stmt.filter(Span.session_id == session_id)
-            if experiments is not None:
-                stmt = stmt.filter(Span.experiment.in_(experiments))
-            stmt = stmt.order_by(
-                Span.trace_id,
-                text("json_extract(span.content, '$.start_time') asc"),
-            )
-            if session_id is None and experiments is None:
-                stmt = stmt.limit(TRACE_LIST_DEFAULT_LIMIT)
-            line_runs = []
-            current_spans: typing.List[Span] = []
-            span: Span
-            for span in stmt.all():
-                if len(current_spans) == 0:
-                    current_spans.append(span)
-                    continue
-                current_trace_id = current_spans[0].trace_id
-                if span.trace_id == current_trace_id:
-                    current_spans.append(span)
-                    continue
-                line_runs.append(copy.deepcopy(current_spans))
-                current_spans = [span]
-            if len(current_spans) > 0:
-                line_runs.append(copy.deepcopy(current_spans))
-            return line_runs
diff --git a/src/promptflow/promptflow/_sdk/_service/apis/collector.py b/src/promptflow/promptflow/_sdk/_service/apis/collector.py
deleted file mode 100644
index dfe90b90d4a..00000000000
--- a/src/promptflow/promptflow/_sdk/_service/apis/collector.py
+++ /dev/null
@@ -1,112 +0,0 @@
-# ---------------------------------------------------------
-# Copyright (c) Microsoft Corporation. All rights reserved.
-# ---------------------------------------------------------
-
-# this file is different from other files in this folder
-# functions (APIs) defined in this file follows OTLP 1.1.0
-# https://opentelemetry.io/docs/specs/otlp/#otlphttp-request
-# to provide OTLP/HTTP endpoint as OTEL collector
-
-import json
-import traceback
-from datetime import datetime
-
-from flask import current_app, request
-from google.protobuf.json_format import MessageToJson
-from opentelemetry.proto.collector.trace.v1.trace_service_pb2 import ExportTraceServiceRequest
-
-from promptflow._constants import (
-    CosmosDBContainerName,
-    SpanFieldName,
-    SpanResourceAttributesFieldName,
-    SpanResourceFieldName,
-)
-from promptflow._sdk._utils import parse_kv_from_pb_attribute
-from promptflow._sdk.entities._trace import Span
-from promptflow._utils.thread_utils import ThreadWithContextVars
-
-
-def trace_collector():
-    content_type = request.headers.get("Content-Type")
-    # binary protobuf encoding
-    if "application/x-protobuf" in content_type:
-        traces_request = ExportTraceServiceRequest()
-        traces_request.ParseFromString(request.data)
-        all_spans = []
-        for resource_span in traces_request.resource_spans:
-            resource_attributes = dict()
-            for attribute in resource_span.resource.attributes:
-                attribute_dict = json.loads(MessageToJson(attribute))
-                attr_key, attr_value = parse_kv_from_pb_attribute(attribute_dict)
-                resource_attributes[attr_key] = attr_value
-            resource = {
-                SpanResourceFieldName.ATTRIBUTES: resource_attributes,
-                SpanResourceFieldName.SCHEMA_URL: resource_span.schema_url,
-            }
-            for scope_span in resource_span.scope_spans:
-                for span in scope_span.spans:
-                    # TODO: persist with batch
-                    span = Span._from_protobuf_object(span, resource=resource)
-                    span._persist()
-                    all_spans.append(span)
-
-        # Create a new thread to write trace to cosmosdb to avoid blocking the main thread
-        ThreadWithContextVars(target=_try_write_trace_to_cosmosdb, args=(all_spans,)).start()
-        return "Traces received", 200
-
-    # JSON protobuf encoding
-    elif "application/json" in content_type:
-        raise NotImplementedError
-
-
-def _try_write_trace_to_cosmosdb(all_spans):
-    if not all_spans:
-        return
-    try:
-        span_resource = all_spans[0]._content.get(SpanFieldName.RESOURCE, {})
-        resource_attributes = span_resource.get(SpanResourceFieldName.ATTRIBUTES, {})
-        subscription_id = resource_attributes.get(SpanResourceAttributesFieldName.SUBSCRIPTION_ID, None)
-        resource_group_name = resource_attributes.get(SpanResourceAttributesFieldName.RESOURCE_GROUP_NAME, None)
-        workspace_name = resource_attributes.get(SpanResourceAttributesFieldName.WORKSPACE_NAME, None)
-        if subscription_id is None or resource_group_name is None or workspace_name is None:
-            current_app.logger.debug("Cannot find workspace info in span resource, skip writing trace to cosmosdb.")
-            return
-
-        current_app.logger.info(f"Start writing trace to cosmosdb, total spans count: {len(all_spans)}.")
-        start_time = datetime.now()
-        from promptflow._sdk._service.app import CREATED_BY_FOR_LOCAL_TO_CLOUD_TRACE
-        from promptflow.azure._storage.cosmosdb.client import get_client
-        from promptflow.azure._storage.cosmosdb.span import Span as SpanCosmosDB
-        from promptflow.azure._storage.cosmosdb.summary import Summary
-
-        # Load span and summary clients first time may slow.
-        # So, we load 2 client in parallel for warm up.
-        span_thread = ThreadWithContextVars(
-            target=get_client, args=(CosmosDBContainerName.SPAN, subscription_id, resource_group_name, workspace_name)
-        )
-        span_thread.start()
-
-        get_client(CosmosDBContainerName.LINE_SUMMARY, subscription_id, resource_group_name, workspace_name)
-
-        span_thread.join()
-
-        for span in all_spans:
-            span_client = get_client(CosmosDBContainerName.SPAN, subscription_id, resource_group_name, workspace_name)
-            result = SpanCosmosDB(span, CREATED_BY_FOR_LOCAL_TO_CLOUD_TRACE).persist(span_client)
-            # None means the span already exists, then we don't need to persist the summary also.
-            if result is not None:
-                line_summary_client = get_client(
-                    CosmosDBContainerName.LINE_SUMMARY, subscription_id, resource_group_name, workspace_name
-                )
-                Summary(span, CREATED_BY_FOR_LOCAL_TO_CLOUD_TRACE).persist(line_summary_client)
-        current_app.logger.info(
-            (
-                f"Finish writing trace to cosmosdb, total spans count: {len(all_spans)}."
-                f" Duration {datetime.now() - start_time}."
-            )
-        )
-
-    except Exception as e:
-        stack_trace = traceback.format_exc()
-        current_app.logger.error(f"Failed to write trace to cosmosdb: {e}, stack trace is {stack_trace}")
-        return
diff --git a/src/promptflow/promptflow/_sdk/_service/apis/ui.py b/src/promptflow/promptflow/_sdk/_service/apis/ui.py
deleted file mode 100644
index e3fa05eb978..00000000000
--- a/src/promptflow/promptflow/_sdk/_service/apis/ui.py
+++ /dev/null
@@ -1,18 +0,0 @@
-# ---------------------------------------------------------
-# Copyright (c) Microsoft Corporation. All rights reserved.
-# ---------------------------------------------------------
-
-from flask import Response, render_template, url_for
-
-from promptflow._sdk._service import Namespace, Resource
-
-api = Namespace("ui", description="UI")
-
-
-@api.route("/traces")
-class TraceUI(Resource):
-    def get(self):
-        return Response(
-            render_template("index.html", url_for=url_for),
-            mimetype="text/html",
-        )
diff --git a/src/promptflow/promptflow/_sdk/_service/entry.py b/src/promptflow/promptflow/_sdk/_service/entry.py
deleted file mode 100644
index 5514224e977..00000000000
--- a/src/promptflow/promptflow/_sdk/_service/entry.py
+++ /dev/null
@@ -1,227 +0,0 @@
-# ---------------------------------------------------------
-# Copyright (c) Microsoft Corporation. All rights reserved.
-# ---------------------------------------------------------
-import argparse
-import json
-import logging
-import os
-import platform
-import subprocess
-import sys
-
-import waitress
-
-from promptflow._cli._utils import _get_cli_activity_name, cli_exception_and_telemetry_handler
-from promptflow._constants import PF_NO_INTERACTIVE_LOGIN
-from promptflow._sdk._constants import LOGGER_NAME, PF_SERVICE_DEBUG, PF_SERVICE_WORKER_NUM
-from promptflow._sdk._service.app import create_app
-from promptflow._sdk._service.utils.utils import (
-    check_pfs_service_status,
-    dump_port_to_config,
-    get_port_from_config,
-    get_started_service_info,
-    is_port_in_use,
-    kill_exist_service,
-)
-from promptflow._sdk._utils import get_promptflow_sdk_version, print_pf_version
-from promptflow._utils.logger_utils import get_cli_sdk_logger  # noqa: E402
-from promptflow.exceptions import UserErrorException
-
-logger = get_cli_sdk_logger()
-
-
-def get_app(environ, start_response):
-    app, _ = create_app()
-    if os.environ.get(PF_SERVICE_DEBUG) == "true":
-        app.logger.setLevel(logging.DEBUG)
-    else:
-        app.logger.setLevel(logging.INFO)
-    return app.wsgi_app(environ, start_response)
-
-
-def add_start_service_action(subparsers):
-    """Add action to start pfs."""
-    start_pfs_parser = subparsers.add_parser(
-        "start",
-        description="Start promptflow service.",
-        help="pfs start",
-    )
-    start_pfs_parser.add_argument("-p", "--port", type=int, help="port of the promptflow service")
-    start_pfs_parser.add_argument(
-        "--force",
-        action="store_true",
-        help="If the port is used, the existing service will be terminated and restart a new service.",
-    )
-    start_pfs_parser.add_argument(
-        "-d",
-        "--debug",
-        action="store_true",
-        help="The flag to turn on debug mode for pfs.",
-    )
-    start_pfs_parser.set_defaults(action="start")
-
-
-def add_stop_service_action(subparsers):
-    """Add action to stop pfs."""
-    stop_pfs_parser = subparsers.add_parser(
-        "stop",
-        description="Stop promptflow service.",
-        help="pfs stop",
-    )
-    stop_pfs_parser.set_defaults(action="stop")
-
-
-def add_show_status_action(subparsers):
-    """Add action to show pfs status."""
-    show_status_parser = subparsers.add_parser(
-        "show-status",
-        description="Display the started promptflow service info.",
-        help="pfs show-status",
-    )
-    show_status_parser.set_defaults(action="show-status")
-
-
-def start_service(args):
-    # User Agent will be set based on header in request, so not set globally here.
-    os.environ[PF_NO_INTERACTIVE_LOGIN] = "true"
-    port = args.port
-    if args.debug:
-        os.environ[PF_SERVICE_DEBUG] = "true"
-
-    def validate_port(port, force_start):
-        if is_port_in_use(port):
-            if force_start:
-                logger.warning(f"Force restart the service on the port {port}.")
-                kill_exist_service(port)
-            else:
-                logger.warning(f"Service port {port} is used.")
-                raise UserErrorException(f"Service port {port} is used.")
-
-    if port:
-        dump_port_to_config(port)
-        validate_port(port, args.force)
-    else:
-        port = get_port_from_config(create_if_not_exists=True)
-        validate_port(port, args.force)
-
-    if sys.executable.endswith("pfcli.exe"):
-        # For msi installer, use sdk api to start pfs since it's not supported to invoke waitress by cli directly
-        # after packaged by Pyinstaller.
-        app, _ = create_app()
-        if os.environ.get(PF_SERVICE_DEBUG) == "true":
-            app.logger.setLevel(logging.DEBUG)
-        else:
-            app.logger.setLevel(logging.INFO)
-        print(f"Start Prompt Flow Service on http://localhost:{port}, version: {get_promptflow_sdk_version()}")
-        waitress.serve(app, host="127.0.0.1", port=port, threads=PF_SERVICE_WORKER_NUM)
-    else:
-        # Start a pfs process using detach mode. It will start a new process and create a new app. So we use environment
-        # variable to pass the debug mode, since it will inherit parent process environment variable.
-        if platform.system() == "Windows":
-            try:
-                import win32api
-                import win32con
-                import win32process
-            except ImportError as ex:
-                raise UserErrorException(
-                    f"Please install pywin32 by 'pip install pywin32' and retry. prompt flow "
-                    f"service start depends on pywin32.. {ex}"
-                )
-            command = (
-                f"waitress-serve --listen=127.0.0.1:{port} --threads={PF_SERVICE_WORKER_NUM} "
-                "promptflow._sdk._service.entry:get_app"
-            )
-            startupinfo = win32process.STARTUPINFO()
-            startupinfo.dwFlags |= win32process.STARTF_USESHOWWINDOW
-            startupinfo.wShowWindow = win32con.SW_HIDE
-            process_attributes = None
-            thread_attributes = None
-            inherit_handles = False
-            creation_flags = win32con.CREATE_NEW_PROCESS_GROUP | win32con.DETACHED_PROCESS
-            environment = None
-            current_directory = None
-            process_handle, thread_handle, process_id, thread_id = win32process.CreateProcess(
-                None,
-                command,
-                process_attributes,
-                thread_attributes,
-                inherit_handles,
-                creation_flags,
-                environment,
-                current_directory,
-                startupinfo,
-            )
-
-            win32api.CloseHandle(process_handle)
-            win32api.CloseHandle(thread_handle)
-        else:
-            # Set host to localhost, only allow request from localhost.
-            cmd = ["waitress-serve", f"--listen=127.0.0.1:{port}", "promptflow._sdk._service.entry:get_app"]
-            subprocess.Popen(cmd, stdout=subprocess.DEVNULL, start_new_session=True)
-        is_healthy = check_pfs_service_status(port)
-        if is_healthy:
-            print(f"Start Prompt Flow Service on http://localhost:{port}, version: {get_promptflow_sdk_version()}")
-        else:
-            logger.warning(f"Pfs service start failed in {port}.")
-
-
-def stop_service():
-    port = get_port_from_config()
-    if port is not None:
-        kill_exist_service(port)
-        print(f"Pfs service stop in {port}.")
-
-
-def main():
-    command_args = sys.argv[1:]
-    if len(command_args) == 1 and command_args[0] == "version":
-        version_dict = {"promptflow": get_promptflow_sdk_version()}
-        return json.dumps(version_dict, ensure_ascii=False, indent=2, sort_keys=True, separators=(",", ": ")) + "\n"
-    if len(command_args) == 0:
-        command_args.append("-h")
-    entry(command_args)
-
-
-def entry(command_args):
-    parser = argparse.ArgumentParser(
-        prog="pfs",
-        formatter_class=argparse.RawDescriptionHelpFormatter,
-        description="Prompt Flow Service",
-    )
-
-    parser.add_argument(
-        "-v", "--version", dest="version", action="store_true", help="show current PromptflowService version and exit"
-    )
-    subparsers = parser.add_subparsers()
-    add_start_service_action(subparsers)
-    add_show_status_action(subparsers)
-    add_stop_service_action(subparsers)
-
-    args = parser.parse_args(command_args)
-
-    activity_name = _get_cli_activity_name(cli=parser.prog, args=args)
-    cli_exception_and_telemetry_handler(run_command, activity_name)(args)
-
-
-def run_command(args):
-    if args.version:
-        print_pf_version()
-        return
-    elif args.action == "show-status":
-        port = get_port_from_config()
-        status = get_started_service_info(port)
-        if status:
-            print(status)
-            return
-        else:
-            logger = logging.getLogger(LOGGER_NAME)
-            logger.warning("Promptflow service is not started.")
-            sys.exit(1)
-    elif args.action == "start":
-        start_service(args)
-    elif args.action == "stop":
-        stop_service()
-
-
-if __name__ == "__main__":
-    main()
diff --git a/src/promptflow/promptflow/_sdk/_service/pfsvc.py b/src/promptflow/promptflow/_sdk/_service/pfsvc.py
deleted file mode 100644
index c5ee19e7e93..00000000000
--- a/src/promptflow/promptflow/_sdk/_service/pfsvc.py
+++ /dev/null
@@ -1,56 +0,0 @@
-# ---------------------------------------------------------
-# Copyright (c) Microsoft Corporation. All rights reserved.
-# ---------------------------------------------------------
-from promptflow._sdk._service.entry import main
-import sys
-
-import win32serviceutil  # ServiceFramework and commandline helper
-import win32service  # Events
-import servicemanager  # Simple setup and logging
-
-
-class PromptFlowService:
-    """Silly little application stub"""
-
-    def stop(self):
-        """Stop the service"""
-        self.running = False
-
-    def run(self):
-        """Main service loop. This is where work is done!"""
-        self.running = True
-        while self.running:
-            main()  # Important work
-            servicemanager.LogInfoMsg("Service running...")
-
-
-class PromptFlowServiceFramework(win32serviceutil.ServiceFramework):
-    _svc_name_ = "PromptFlowService"
-    _svc_display_name_ = "Prompt Flow Service"
-
-    def SvcStop(self):
-        """Stop the service"""
-        self.ReportServiceStatus(win32service.SERVICE_STOP_PENDING)
-        self.service_impl.stop()
-        self.ReportServiceStatus(win32service.SERVICE_STOPPED)
-
-    def SvcDoRun(self):
-        """Start the service; does not return until stopped"""
-        self.ReportServiceStatus(win32service.SERVICE_START_PENDING)
-        self.service_impl = PromptFlowService()
-        self.ReportServiceStatus(win32service.SERVICE_RUNNING)
-        # Run the service
-        self.service_impl.run()
-
-
-def init():
-    if len(sys.argv) == 1:
-        servicemanager.Initialize()
-        servicemanager.PrepareToHostSingle(PromptFlowServiceFramework)
-        servicemanager.StartServiceCtrlDispatcher()
-    else:
-        win32serviceutil.HandleCommandLine(PromptFlowServiceFramework)
-
-
-if __name__ == "__main__":
-    init()
diff --git a/src/promptflow/promptflow/_sdk/_service/static/TraceViewPage.min.js b/src/promptflow/promptflow/_sdk/_service/static/TraceViewPage.min.js
deleted file mode 100644
index 166fb655336..00000000000
--- a/src/promptflow/promptflow/_sdk/_service/static/TraceViewPage.min.js
+++ /dev/null
@@ -1,2222 +0,0 @@
-(function(){"use strict";try{if(typeof document<"u"){var o=document.createElement("style");o.appendChild(document.createTextNode('@layer rdg.MeasuringCell{.m1l09lto7-0-0-beta-39{contain:strict;grid-row:1;visibility:hidden}}@layer rdg.Cell{.c1wupbe7-0-0-beta-39{position:relative;padding-block:0;padding-inline:8px;border-inline-end:1px solid var(--rdg-border-color);border-block-end:1px solid var(--rdg-border-color);grid-row-start:var(--rdg-grid-row-start);background-color:inherit;white-space:nowrap;overflow:clip;text-overflow:ellipsis;outline:none}.c1wupbe7-0-0-beta-39[aria-selected=true]{outline:2px solid var(--rdg-selection-color);outline-offset:-2px}}@layer rdg.Cell{.cd0kgiy7-0-0-beta-39{position:sticky;z-index:1}}@layer rdg.Cell{.c1730fa47-0-0-beta-39{box-shadow:calc(2px * var(--rdg-sign)) 0 5px -2px #8888884d}}@layer 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- * Copyright (c) Facebook, Inc. and its affiliates.
- *
- * This source code is licensed under the MIT license found in the
- * LICENSE file in the root directory of this source tree.
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- * @license React
- * react-jsx-runtime.development.js
- *
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- *
- * This source code is licensed under the MIT license found in the
- * LICENSE file in the root directory of this source tree.
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- *
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Sr=Er.deletions;Sr===null?(Er.deletions=[dr],Er.flags|=16):Sr.push(dr)}}function Se(Er,dr){if(!Q)return null;for(;dr!==null;)ne(Er,dr),dr=dr.sibling;return null}function Fe(Er,dr){for(Er=new Map;dr!==null;)dr.key!==null?Er.set(dr.key,dr):Er.set(dr.index,dr),dr=dr.sibling;return Er}function Ze(Er,dr){return Er=yf(Er,dr),Er.index=0,Er.sibling=null,Er}function ct(Er,dr,Sr){return Er.index=Sr,Q?(Sr=Er.alternate,Sr!==null?(Sr=Sr.index,Sr<dr?(Er.flags|=2,dr):Sr):(Er.flags|=2,dr)):(Er.flags|=1048576,dr)}function At(Er){return Q&&Er.alternate===null&&(Er.flags|=2),Er}function Wt(Er,dr,Sr,Sn){return dr===null||dr.tag!==6?(dr=zh(Sr,Er.mode,Sn),dr.return=Er,dr):(dr=Ze(dr,Sr),dr.return=Er,dr)}function or(Er,dr,Sr,Sn){var $o=Sr.type;return $o===ke?sn(Er,dr,Sr.props.children,Sn,Sr.key):dr!==null&&(dr.elementType===$o||typeof $o=="object"&&$o!==null&&$o.$$typeof===Ue&&Mf($o)===dr.type)?(Sn=Ze(dr,Sr.props),Sn.ref=af(Er,dr,Sr),Sn.return=Er,Sn):(Sn=jh(Sr.type,Sr.key,Sr.props,null,Er.mode,Sn),Sn.ref=af(Er,dr,Sr),Sn.return=Er,Sn)}function Dr(Er,dr,Sr,Sn){return dr===null||dr.tag!==4||dr.stateNode.containerInfo!==Sr.containerInfo||dr.stateNode.implementation!==Sr.implementation?(dr=th(Sr,Er.mode,Sn),dr.return=Er,dr):(dr=Ze(dr,Sr.children||[]),dr.return=Er,dr)}function sn(Er,dr,Sr,Sn,$o){return dr===null||dr.tag!==7?(dr=Xf(Sr,Er.mode,Sn,$o),dr.return=Er,dr):(dr=Ze(dr,Sr),dr.return=Er,dr)}function fn(Er,dr,Sr){if(typeof dr=="string"&&dr!==""||typeof dr=="number")return dr=zh(""+dr,Er.mode,Sr),dr.return=Er,dr;if(typeof dr=="object"&&dr!==null){switch(dr.$$typeof){case Te:return Sr=jh(dr.type,dr.key,dr.props,null,Er.mode,Sr),Sr.ref=af(Er,null,dr),Sr.return=Er,Sr;case we:return dr=th(dr,Er.mode,Sr),dr.return=Er,dr;case Ue:var Sn=dr._init;return fn(Er,Sn(dr._payload),Sr)}if(An(dr)||gt(dr))return dr=Xf(dr,Er.mode,Sr,null),dr.return=Er,dr;qd(Er,dr)}return null}function tn(Er,dr,Sr,Sn){var $o=dr!==null?dr.key:null;if(typeof Sr=="string"&&Sr!==""||typeof Sr=="number")return $o!==null?null:Wt(Er,dr,""+Sr,Sn);if(typeof Sr=="object"&&Sr!==null){switch(Sr.$$typeof){case Te:return Sr.key===$o?or(Er,dr,Sr,Sn):null;case we:return Sr.key===$o?Dr(Er,dr,Sr,Sn):null;case Ue:return $o=Sr._init,tn(Er,dr,$o(Sr._payload),Sn)}if(An(Sr)||gt(Sr))return $o!==null?null:sn(Er,dr,Sr,Sn,null);qd(Er,Sr)}return null}function Un(Er,dr,Sr,Sn,$o){if(typeof Sn=="string"&&Sn!==""||typeof Sn=="number")return Er=Er.get(Sr)||null,Wt(dr,Er,""+Sn,$o);if(typeof Sn=="object"&&Sn!==null){switch(Sn.$$typeof){case Te:return Er=Er.get(Sn.key===null?Sr:Sn.key)||null,or(dr,Er,Sn,$o);case we:return Er=Er.get(Sn.key===null?Sr:Sn.key)||null,Dr(dr,Er,Sn,$o);case Ue:var Lo=Sn._init;return Un(Er,dr,Sr,Lo(Sn._payload),$o)}if(An(Sn)||gt(Sn))return Er=Er.get(Sr)||null,sn(dr,Er,Sn,$o,null);qd(dr,Sn)}return null}function lo(Er,dr,Sr,Sn){for(var $o=null,Lo=null,uo=dr,qo=dr=0,$l=null;uo!==null&&qo<Sr.length;qo++){uo.index>qo?($l=uo,uo=null):$l=uo.sibling;var ua=tn(Er,uo,Sr[qo],Sn);if(ua===null){uo===null&&(uo=$l);break}Q&&uo&&ua.alternate===null&&ne(Er,uo),dr=ct(ua,dr,qo),Lo===null?$o=ua:Lo.sibling=ua,Lo=ua,uo=$l}if(qo===Sr.length)return Se(Er,uo),la&&Ll(Er,qo),$o;if(uo===null){for(;qo<Sr.length;qo++)uo=fn(Er,Sr[qo],Sn),uo!==null&&(dr=ct(uo,dr,qo),Lo===null?$o=uo:Lo.sibling=uo,Lo=uo);return la&&Ll(Er,qo),$o}for(uo=Fe(Er,uo);qo<Sr.length;qo++)$l=Un(uo,Er,qo,Sr[qo],Sn),$l!==null&&(Q&&$l.alternate!==null&&uo.delete($l.key===null?qo:$l.key),dr=ct($l,dr,qo),Lo===null?$o=$l:Lo.sibling=$l,Lo=$l);return Q&&uo.forEach(function(Qd){return ne(Er,Qd)}),la&&Ll(Er,qo),$o}function yo(Er,dr,Sr,Sn){var $o=gt(Sr);if(typeof $o!="function")throw Error(R(150));if(Sr=$o.call(Sr),Sr==null)throw Error(R(151));for(var Lo=$o=null,uo=dr,qo=dr=0,$l=null,ua=Sr.next();uo!==null&&!ua.done;qo++,ua=Sr.next()){uo.index>qo?($l=uo,uo=null):$l=uo.sibling;var Qd=tn(Er,uo,ua.value,Sn);if(Qd===null){uo===null&&(uo=$l);break}Q&&uo&&Qd.alternate===null&&ne(Er,uo),dr=ct(Qd,dr,qo),Lo===null?$o=Qd:Lo.sibling=Qd,Lo=Qd,uo=$l}if(ua.done)return Se(Er,uo),la&&Ll(Er,qo),$o;if(uo===null){for(;!ua.done;qo++,ua=Sr.next())ua=fn(Er,ua.value,Sn),ua!==null&&(dr=ct(ua,dr,qo),Lo===null?$o=ua:Lo.sibling=ua,Lo=ua);return la&&Ll(Er,qo),$o}for(uo=Fe(Er,uo);!ua.done;qo++,ua=Sr.next())ua=Un(uo,Er,qo,ua.value,Sn),ua!==null&&(Q&&ua.alternate!==null&&uo.delete(ua.key===null?qo:ua.key),dr=ct(ua,dr,qo),Lo===null?$o=ua:Lo.sibling=ua,Lo=ua);return Q&&uo.forEach(function(dv){return ne(Er,dv)}),la&&Ll(Er,qo),$o}function ol(Er,dr,Sr,Sn){if(typeof Sr=="object"&&Sr!==null&&Sr.type===ke&&Sr.key===null&&(Sr=Sr.props.children),typeof Sr=="object"&&Sr!==null){switch(Sr.$$typeof){case Te:e:{for(var 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Ze&&If(ne,Se,!1),qs(Q,ne,ct);Fe=ne.stateNode,p1.current=ne;var Wt=At&&typeof Se.getDerivedStateFromError!="function"?null:Fe.render();return ne.flags|=1,Q!==null&&At?(ne.child=Od(ne,Q.child,null,ct),ne.child=Od(ne,null,Wt,ct)):rl(Q,ne,Wt,ct),ne.memoizedState=Fe.state,Ze&&If(ne,Se,!0),ne.child}function Ud(Q){var ne=Q.stateNode;ne.pendingContext?xs(Q,ne.pendingContext,ne.pendingContext!==ne.context):ne.context&&xs(Q,ne.context,!1),gp(Q,ne.containerInfo)}function Ah(Q,ne,Se,Fe,Ze){return fc(),xa(Ze),ne.flags|=256,rl(Q,ne,Se,Fe),ne.child}var Ff={dehydrated:null,treeContext:null,retryLane:0};function Wd(Q){return{baseLanes:Q,cachePool:null,transitions:null}}function Yp(Q,ne,Se){var Fe=ne.pendingProps,Ze=go.current,ct=!1,At=(ne.flags&128)!==0,Wt;if((Wt=At)||(Wt=Q!==null&&Q.memoizedState===null?!1:(Ze&2)!==0),Wt?(ct=!0,ne.flags&=-129):(Q===null||Q.memoizedState!==null)&&(Ze|=1),Ti(go,Ze&1),Q===null)return Ul(ne),Q=ne.memoizedState,Q!==null&&(Q=Q.dehydrated,Q!==null)?(ne.mode&1?Q.data==="$!"?ne.lanes=8:ne.lanes=1073741824:ne.lanes=1,null):(At=Fe.children,Q=Fe.fallback,ct?(Fe=ne.mode,ct=ne.child,At={mode:"hidden",children:At},!(Fe&1)&&ct!==null?(ct.childLanes=0,ct.pendingProps=At):ct=Fh(At,Fe,0,null),Q=Xf(Q,Fe,Se,null),ct.return=ne,Q.return=ne,ct.sibling=Q,ne.child=ct,ne.child.memoizedState=Wd(Se),ne.memoizedState=Ff,Q):Yd(ne,At));if(Ze=Q.memoizedState,Ze!==null&&(Wt=Ze.dehydrated,Wt!==null))return yp(Q,ne,At,Fe,Wt,Ze,Se);if(ct){ct=Fe.fallback,At=ne.mode,Ze=Q.child,Wt=Ze.sibling;var or={mode:"hidden",children:Fe.children};return!(At&1)&&ne.child!==Ze?(Fe=ne.child,Fe.childLanes=0,Fe.pendingProps=or,ne.deletions=null):(Fe=yf(Ze,or),Fe.subtreeFlags=Ze.subtreeFlags&14680064),Wt!==null?ct=yf(Wt,ct):(ct=Xf(ct,At,Se,null),ct.flags|=2),ct.return=ne,Fe.return=ne,Fe.sibling=ct,ne.child=Fe,Fe=ct,ct=ne.child,At=Q.child.memoizedState,At=At===null?Wd(Se):{baseLanes:At.baseLanes|Se,cachePool:null,transitions:At.transitions},ct.memoizedState=At,ct.childLanes=Q.childLanes&~Se,ne.memoizedState=Ff,Fe}return ct=Q.child,Q=ct.sibling,Fe=yf(ct,{mode:"visible",children:Fe.children}),!(ne.mode&1)&&(Fe.lanes=Se),Fe.return=ne,Fe.sibling=null,Q!==null&&(Se=ne.deletions,Se===null?(ne.deletions=[Q],ne.flags|=16):Se.push(Q)),ne.child=Fe,ne.memoizedState=null,Fe}function Yd(Q,ne){return ne=Fh({mode:"visible",children:ne},Q.mode,0,null),ne.return=Q,Q.child=ne}function Mo(Q,ne,Se,Fe){return Fe!==null&&xa(Fe),Od(ne,Q.child,null,Se),Q=Yd(ne,ne.pendingProps.children),Q.flags|=2,ne.memoizedState=null,Q}function yp(Q,ne,Se,Fe,Ze,ct,At){if(Se)return ne.flags&256?(ne.flags&=-257,Fe=As(Error(R(422))),Mo(Q,ne,At,Fe)):ne.memoizedState!==null?(ne.child=Q.child,ne.flags|=128,null):(ct=Fe.fallback,Ze=ne.mode,Fe=Fh({mode:"visible",children:Fe.children},Ze,0,null),ct=Xf(ct,Ze,At,null),ct.flags|=2,Fe.return=ne,ct.return=ne,Fe.sibling=ct,ne.child=Fe,ne.mode&1&&Od(ne,Q.child,null,At),ne.child.memoizedState=Wd(At),ne.memoizedState=Ff,ct);if(!(ne.mode&1))return Mo(Q,ne,At,null);if(Ze.data==="$!"){if(Fe=Ze.nextSibling&&Ze.nextSibling.dataset,Fe)var Wt=Fe.dgst;return Fe=Wt,ct=Error(R(419)),Fe=As(ct,Fe,void 0),Mo(Q,ne,At,Fe)}if(Wt=(At&Q.childLanes)!==0,du||Wt){if(Fe=Ks,Fe!==null){switch(At&-At){case 4:Ze=2;break;case 16:Ze=8;break;case 64:case 128:case 256:case 512:case 1024:case 2048:case 4096:case 8192:case 16384:case 32768:case 65536:case 131072:case 262144:case 524288:case 1048576:case 2097152:case 4194304:case 8388608:case 16777216:case 33554432:case 67108864:Ze=32;break;case 536870912:Ze=268435456;break;default:Ze=0}Ze=Ze&(Fe.suspendedLanes|At)?0:Ze,Ze!==0&&Ze!==ct.retryLane&&(ct.retryLane=Ze,pc(Q,Ze),Rs(Fe,Q,Ze,-1))}return eh(),Fe=As(Error(R(421))),Mo(Q,ne,At,Fe)}return Ze.data==="$?"?(ne.flags|=128,ne.child=Q.child,ne=C1.bind(null,Q),Ze._reactRetry=ne,null):(Q=ct.treeContext,Gs=Fs(Ze.nextSibling),ho=ne,la=!0,ku=null,Q!==null&&(sa[Ea++]=Hi,sa[Ea++]=Bi,sa[Ea++]=Hs,Hi=Q.id,Bi=Q.overflow,Hs=ne),ne=Yd(ne,Fe.children),ne.flags|=4096,ne)}function $h(Q,ne,Se){Q.lanes|=ne;var Fe=Q.alternate;Fe!==null&&(Fe.lanes|=ne),cs(Q.return,ne,Se)}function Nd(Q,ne,Se,Fe,Ze){var ct=Q.memoizedState;ct===null?Q.memoizedState={isBackwards:ne,rendering:null,renderingStartTime:0,last:Fe,tail:Se,tailMode:Ze}:(ct.isBackwards=ne,ct.rendering=null,ct.renderingStartTime=0,ct.last=Fe,ct.tail=Se,ct.tailMode=Ze)}function h1(Q,ne,Se){var Fe=ne.pendingProps,Ze=Fe.revealOrder,ct=Fe.tail;if(rl(Q,ne,Fe.children,Se),Fe=go.current,Fe&2)Fe=Fe&1|2,ne.flags|=128;else{if(Q!==null&&Q.flags&128)e:for(Q=ne.child;Q!==null;){if(Q.tag===13)Q.memoizedState!==null&&$h(Q,Se,ne);else if(Q.tag===19)$h(Q,Se,ne);else if(Q.child!==null){Q.child.return=Q,Q=Q.child;continue}if(Q===ne)break e;for(;Q.sibling===null;){if(Q.return===null||Q.return===ne)break e;Q=Q.return}Q.sibling.return=Q.return,Q=Q.sibling}Fe&=1}if(Ti(go,Fe),!(ne.mode&1))ne.memoizedState=null;else switch(Ze){case"forwards":for(Se=ne.child,Ze=null;Se!==null;)Q=Se.alternate,Q!==null&&ji(Q)===null&&(Ze=Se),Se=Se.sibling;Se=Ze,Se===null?(Ze=ne.child,ne.child=null):(Ze=Se.sibling,Se.sibling=null),Nd(ne,!1,Ze,Se,ct);break;case"backwards":for(Se=null,Ze=ne.child,ne.child=null;Ze!==null;){if(Q=Ze.alternate,Q!==null&&ji(Q)===null){ne.child=Ze;break}Q=Ze.sibling,Ze.sibling=Se,Se=Ze,Ze=Q}Nd(ne,!0,Se,null,ct);break;case"together":Nd(ne,!1,null,null,void 0);break;default:ne.memoizedState=null}return ne.child}function zf(Q,ne){!(ne.mode&1)&&Q!==null&&(Q.alternate=null,ne.alternate=null,ne.flags|=2)}function qs(Q,ne,Se){if(Q!==null&&(ne.dependencies=Q.dependencies),hf|=ne.lanes,!(Se&ne.childLanes))return null;if(Q!==null&&ne.child!==Q.child)throw Error(R(153));if(ne.child!==null){for(Q=ne.child,Se=yf(Q,Q.pendingProps),ne.child=Se,Se.return=ne;Q.sibling!==null;)Q=Q.sibling,Se=Se.sibling=yf(Q,Q.pendingProps),Se.return=ne;Se.sibling=null}return ne.child}function fs(Q,ne,Se){switch(ne.tag){case 3:Ud(ne),fc();break;case 5:dd(ne);break;case 1:Ga(ne.type)&&Qa(ne);break;case 4:gp(ne,ne.stateNode.containerInfo);break;case 10:var Fe=ne.type._context,Ze=ne.memoizedProps.value;Ti(jc,Fe._currentValue),Fe._currentValue=Ze;break;case 13:if(Fe=ne.memoizedState,Fe!==null)return Fe.dehydrated!==null?(Ti(go,go.current&1),ne.flags|=128,null):Se&ne.child.childLanes?Yp(Q,ne,Se):(Ti(go,go.current&1),Q=qs(Q,ne,Se),Q!==null?Q.sibling:null);Ti(go,go.current&1);break;case 19:if(Fe=(Se&ne.childLanes)!==0,Q.flags&128){if(Fe)return h1(Q,ne,Se);ne.flags|=128}if(Ze=ne.memoizedState,Ze!==null&&(Ze.rendering=null,Ze.tail=null,Ze.lastEffect=null),Ti(go,go.current),Fe)break;return null;case 22:case 23:return ne.lanes=0,Mu(Q,ne,Se)}return qs(Q,ne,Se)}var Dd,_p,Hf,Hc;Dd=function(Q,ne){for(var Se=ne.child;Se!==null;){if(Se.tag===5||Se.tag===6)Q.appendChild(Se.stateNode);else if(Se.tag!==4&&Se.child!==null){Se.child.return=Se,Se=Se.child;continue}if(Se===ne)break;for(;Se.sibling===null;){if(Se.return===null||Se.return===ne)return;Se=Se.return}Se.sibling.return=Se.return,Se=Se.sibling}},_p=function(){},Hf=function(Q,ne,Se,Fe){var Ze=Q.memoizedProps;if(Ze!==Fe){Q=ne.stateNode,Wl(gc.current);var ct=null;switch(Se){case"input":Ze=tr(Q,Ze),Fe=tr(Q,Fe),ct=[];break;case"select":Ze=Qe({},Ze,{value:void 0}),Fe=Qe({},Fe,{value:void 0}),ct=[];break;case"textarea":Ze=pn(Q,Ze),Fe=pn(Q,Fe),ct=[];break;default:typeof Ze.onClick!="function"&&typeof Fe.onClick=="function"&&(Q.onclick=dn)}hn(Se,Fe);var At;Se=null;for(Dr in Ze)if(!Fe.hasOwnProperty(Dr)&&Ze.hasOwnProperty(Dr)&&Ze[Dr]!=null)if(Dr==="style"){var Wt=Ze[Dr];for(At in Wt)Wt.hasOwnProperty(At)&&(Se||(Se={}),Se[At]="")}else Dr!=="dangerouslySetInnerHTML"&&Dr!=="children"&&Dr!=="suppressContentEditableWarning"&&Dr!=="suppressHydrationWarning"&&Dr!=="autoFocus"&&(I.hasOwnProperty(Dr)?ct||(ct=[]):(ct=ct||[]).push(Dr,null));for(Dr in Fe){var or=Fe[Dr];if(Wt=Ze!=null?Ze[Dr]:void 0,Fe.hasOwnProperty(Dr)&&or!==Wt&&(or!=null||Wt!=null))if(Dr==="style")if(Wt){for(At in Wt)!Wt.hasOwnProperty(At)||or&&or.hasOwnProperty(At)||(Se||(Se={}),Se[At]="");for(At in or)or.hasOwnProperty(At)&&Wt[At]!==or[At]&&(Se||(Se={}),Se[At]=or[At])}else Se||(ct||(ct=[]),ct.push(Dr,Se)),Se=or;else Dr==="dangerouslySetInnerHTML"?(or=or?or.__html:void 0,Wt=Wt?Wt.__html:void 0,or!=null&&Wt!==or&&(ct=ct||[]).push(Dr,or)):Dr==="children"?typeof or!="string"&&typeof or!="number"||(ct=ct||[]).push(Dr,""+or):Dr!=="suppressContentEditableWarning"&&Dr!=="suppressHydrationWarning"&&(I.hasOwnProperty(Dr)?(or!=null&&Dr==="onScroll"&&xi("scroll",Q),ct||Wt===or||(ct=[])):(ct=ct||[]).push(Dr,or))}Se&&(ct=ct||[]).push("style",Se);var Dr=ct;(ne.updateQueue=Dr)&&(ne.flags|=4)}},Hc=function(Q,ne,Se,Fe){Se!==Fe&&(ne.flags|=4)};function $s(Q,ne){if(!la)switch(Q.tailMode){case"hidden":ne=Q.tail;for(var Se=null;ne!==null;)ne.alternate!==null&&(Se=ne),ne=ne.sibling;Se===null?Q.tail=null:Se.sibling=null;break;case"collapsed":Se=Q.tail;for(var Fe=null;Se!==null;)Se.alternate!==null&&(Fe=Se),Se=Se.sibling;Fe===null?ne||Q.tail===null?Q.tail=null:Q.tail.sibling=null:Fe.sibling=null}}function pu(Q){var ne=Q.alternate!==null&&Q.alternate.child===Q.child,Se=0,Fe=0;if(ne)for(var Ze=Q.child;Ze!==null;)Se|=Ze.lanes|Ze.childLanes,Fe|=Ze.subtreeFlags&14680064,Fe|=Ze.flags&14680064,Ze.return=Q,Ze=Ze.sibling;else for(Ze=Q.child;Ze!==null;)Se|=Ze.lanes|Ze.childLanes,Fe|=Ze.subtreeFlags,Fe|=Ze.flags,Ze.return=Q,Ze=Ze.sibling;return Q.subtreeFlags|=Fe,Q.childLanes=Se,ne}function tv(Q,ne,Se){var Fe=ne.pendingProps;switch(dc(ne),ne.tag){case 2:case 16:case 15:case 0:case 11:case 7:case 8:case 12:case 9:case 14:return pu(ne),null;case 1:return Ga(ne.type)&&Es(),pu(ne),null;case 3:return Fe=ne.stateNode,lf(),io(No),io(Na),Nu(),Fe.pendingContext&&(Fe.context=Fe.pendingContext,Fe.pendingContext=null),(Q===null||Q.child===null)&&(Df(ne)?ne.flags|=4:Q===null||Q.memoizedState.isDehydrated&&!(ne.flags&256)||(ne.flags|=1024,ku!==null&&(E1(ku),ku=null))),_p(Q,ne),pu(ne),null;case 5:Oo(ne);var Ze=Wl(sf.current);if(Se=ne.type,Q!==null&&ne.stateNode!=null)Hf(Q,ne,Se,Fe,Ze),Q.ref!==ne.ref&&(ne.flags|=512,ne.flags|=2097152);else{if(!Fe){if(ne.stateNode===null)throw Error(R(166));return pu(ne),null}if(Q=Wl(gc.current),Df(ne)){Fe=ne.stateNode,Se=ne.type;var ct=ne.memoizedProps;switch(Fe[Kl]=ne,Fe[wu]=ct,Q=(ne.mode&1)!==0,Se){case"dialog":xi("cancel",Fe),xi("close",Fe);break;case"iframe":case"object":case"embed":xi("load",Fe);break;case"video":case"audio":for(Ze=0;Ze<cl.length;Ze++)xi(cl[Ze],Fe);break;case"source":xi("error",Fe);break;case"img":case"image":case"link":xi("error",Fe),xi("load",Fe);break;case"details":xi("toggle",Fe);break;case"input":wr(Fe,ct),xi("invalid",Fe);break;case"select":Fe._wrapperState={wasMultiple:!!ct.multiple},xi("invalid",Fe);break;case"textarea":Mn(Fe,ct),xi("invalid",Fe)}hn(Se,ct),Ze=null;for(var At in ct)if(ct.hasOwnProperty(At)){var Wt=ct[At];At==="children"?typeof Wt=="string"?Fe.textContent!==Wt&&(ct.suppressHydrationWarning!==!0&&br(Fe.textContent,Wt,Q),Ze=["children",Wt]):typeof Wt=="number"&&Fe.textContent!==""+Wt&&(ct.suppressHydrationWarning!==!0&&br(Fe.textContent,Wt,Q),Ze=["children",""+Wt]):I.hasOwnProperty(At)&&Wt!=null&&At==="onScroll"&&xi("scroll",Fe)}switch(Se){case"input":Ht(Fe),bn(Fe,ct,!0);break;case"textarea":Ht(Fe),mr(Fe);break;case"select":case"option":break;default:typeof ct.onClick=="function"&&(Fe.onclick=dn)}Fe=Ze,ne.updateQueue=Fe,Fe!==null&&(ne.flags|=4)}else{At=Ze.nodeType===9?Ze:Ze.ownerDocument,Q==="http://www.w3.org/1999/xhtml"&&(Q=sr(Se)),Q==="http://www.w3.org/1999/xhtml"?Se==="script"?(Q=At.createElement("div"),Q.innerHTML="<script><\/script>",Q=Q.removeChild(Q.firstChild)):typeof Fe.is=="string"?Q=At.createElement(Se,{is:Fe.is}):(Q=At.createElement(Se),Se==="select"&&(At=Q,Fe.multiple?At.multiple=!0:Fe.size&&(At.size=Fe.size))):Q=At.createElementNS(Q,Se),Q[Kl]=ne,Q[wu]=Fe,Dd(Q,ne,!1,!1),ne.stateNode=Q;e:{switch(At=Gn(Se,Fe),Se){case"dialog":xi("cancel",Q),xi("close",Q),Ze=Fe;break;case"iframe":case"object":case"embed":xi("load",Q),Ze=Fe;break;case"video":case"audio":for(Ze=0;Ze<cl.length;Ze++)xi(cl[Ze],Q);Ze=Fe;break;case"source":xi("error",Q),Ze=Fe;break;case"img":case"image":case"link":xi("error",Q),xi("load",Q),Ze=Fe;break;case"details":xi("toggle",Q),Ze=Fe;break;case"input":wr(Q,Fe),Ze=tr(Q,Fe),xi("invalid",Q);break;case"option":Ze=Fe;break;case"select":Q._wrapperState={wasMultiple:!!Fe.multiple},Ze=Qe({},Fe,{value:void 0}),xi("invalid",Q);break;case"textarea":Mn(Q,Fe),Ze=pn(Q,Fe),xi("invalid",Q);break;default:Ze=Fe}hn(Se,Ze),Wt=Ze;for(ct in Wt)if(Wt.hasOwnProperty(ct)){var or=Wt[ct];ct==="style"?Jr(Q,or):ct==="dangerouslySetInnerHTML"?(or=or?or.__html:void 0,or!=null&&Ir(Q,or)):ct==="children"?typeof or=="string"?(Se!=="textarea"||or!=="")&&jr(Q,or):typeof or=="number"&&jr(Q,""+or):ct!=="suppressContentEditableWarning"&&ct!=="suppressHydrationWarning"&&ct!=="autoFocus"&&(I.hasOwnProperty(ct)?or!=null&&ct==="onScroll"&&xi("scroll",Q):or!=null&&Ae(Q,ct,or,At))}switch(Se){case"input":Ht(Q),bn(Q,Fe,!1);break;case"textarea":Ht(Q),mr(Q);break;case"option":Fe.value!=null&&Q.setAttribute("value",""+Vt(Fe.value));break;case"select":Q.multiple=!!Fe.multiple,ct=Fe.value,ct!=null?Tn(Q,!!Fe.multiple,ct,!1):Fe.defaultValue!=null&&Tn(Q,!!Fe.multiple,Fe.defaultValue,!0);break;default:typeof Ze.onClick=="function"&&(Q.onclick=dn)}switch(Se){case"button":case"input":case"select":case"textarea":Fe=!!Fe.autoFocus;break e;case"img":Fe=!0;break e;default:Fe=!1}}Fe&&(ne.flags|=4)}ne.ref!==null&&(ne.flags|=512,ne.flags|=2097152)}return pu(ne),null;case 6:if(Q&&ne.stateNode!=null)Hc(Q,ne,Q.memoizedProps,Fe);else{if(typeof Fe!="string"&&ne.stateNode===null)throw Error(R(166));if(Se=Wl(sf.current),Wl(gc.current),Df(ne)){if(Fe=ne.stateNode,Se=ne.memoizedProps,Fe[Kl]=ne,(ct=Fe.nodeValue!==Se)&&(Q=ho,Q!==null))switch(Q.tag){case 3:br(Fe.nodeValue,Se,(Q.mode&1)!==0);break;case 5:Q.memoizedProps.suppressHydrationWarning!==!0&&br(Fe.nodeValue,Se,(Q.mode&1)!==0)}ct&&(ne.flags|=4)}else Fe=(Se.nodeType===9?Se:Se.ownerDocument).createTextNode(Fe),Fe[Kl]=ne,ne.stateNode=Fe}return pu(ne),null;case 13:if(io(go),Fe=ne.memoizedState,Q===null||Q.memoizedState!==null&&Q.memoizedState.dehydrated!==null){if(la&&Gs!==null&&ne.mode&1&&!(ne.flags&128))dp(),fc(),ne.flags|=98560,ct=!1;else if(ct=Df(ne),Fe!==null&&Fe.dehydrated!==null){if(Q===null){if(!ct)throw Error(R(318));if(ct=ne.memoizedState,ct=ct!==null?ct.dehydrated:null,!ct)throw Error(R(317));ct[Kl]=ne}else fc(),!(ne.flags&128)&&(ne.memoizedState=null),ne.flags|=4;pu(ne),ct=!1}else ku!==null&&(E1(ku),ku=null),ct=!0;if(!ct)return ne.flags&65536?ne:null}return ne.flags&128?(ne.lanes=Se,ne):(Fe=Fe!==null,Fe!==(Q!==null&&Q.memoizedState!==null)&&Fe&&(ne.child.flags|=8192,ne.mode&1&&(Q===null||go.current&1?Al===0&&(Al=3):eh())),ne.updateQueue!==null&&(ne.flags|=4),pu(ne),null);case 4:return lf(),_p(Q,ne),Q===null&&yl(ne.stateNode.containerInfo),pu(ne),null;case 10:return pa(ne.type._context),pu(ne),null;case 17:return Ga(ne.type)&&Es(),pu(ne),null;case 19:if(io(go),ct=ne.memoizedState,ct===null)return pu(ne),null;if(Fe=(ne.flags&128)!==0,At=ct.rendering,At===null)if(Fe)$s(ct,!1);else{if(Al!==0||Q!==null&&Q.flags&128)for(Q=ne.child;Q!==null;){if(At=ji(Q),At!==null){for(ne.flags|=128,$s(ct,!1),Fe=At.updateQueue,Fe!==null&&(ne.updateQueue=Fe,ne.flags|=4),ne.subtreeFlags=0,Fe=Se,Se=ne.child;Se!==null;)ct=Se,Q=Fe,ct.flags&=14680066,At=ct.alternate,At===null?(ct.childLanes=0,ct.lanes=Q,ct.child=null,ct.subtreeFlags=0,ct.memoizedProps=null,ct.memoizedState=null,ct.updateQueue=null,ct.dependencies=null,ct.stateNode=null):(ct.childLanes=At.childLanes,ct.lanes=At.lanes,ct.child=At.child,ct.subtreeFlags=0,ct.deletions=null,ct.memoizedProps=At.memoizedProps,ct.memoizedState=At.memoizedState,ct.updateQueue=At.updateQueue,ct.type=At.type,Q=At.dependencies,ct.dependencies=Q===null?null:{lanes:Q.lanes,firstContext:Q.firstContext}),Se=Se.sibling;return Ti(go,go.current&1|2),ne.child}Q=Q.sibling}ct.tail!==null&&In()>Tp&&(ne.flags|=128,Fe=!0,$s(ct,!1),ne.lanes=4194304)}else{if(!Fe)if(Q=ji(At),Q!==null){if(ne.flags|=128,Fe=!0,Se=Q.updateQueue,Se!==null&&(ne.updateQueue=Se,ne.flags|=4),$s(ct,!0),ct.tail===null&&ct.tailMode==="hidden"&&!At.alternate&&!la)return pu(ne),null}else 2*In()-ct.renderingStartTime>Tp&&Se!==1073741824&&(ne.flags|=128,Fe=!0,$s(ct,!1),ne.lanes=4194304);ct.isBackwards?(At.sibling=ne.child,ne.child=At):(Se=ct.last,Se!==null?Se.sibling=At:ne.child=At,ct.last=At)}return ct.tail!==null?(ne=ct.tail,ct.rendering=ne,ct.tail=ne.sibling,ct.renderingStartTime=In(),ne.sibling=null,Se=go.current,Ti(go,Fe?Se&1|2:Se&1),ne):(pu(ne),null);case 22:case 23:return Lh(),Fe=ne.memoizedState!==null,Q!==null&&Q.memoizedState!==null!==Fe&&(ne.flags|=8192),Fe&&ne.mode&1?ac&1073741824&&(pu(ne),ne.subtreeFlags&6&&(ne.flags|=8192)):pu(ne),null;case 24:return null;case 25:return null}throw Error(R(156,ne.tag))}function rv(Q,ne){switch(dc(ne),ne.tag){case 1:return Ga(ne.type)&&Es(),Q=ne.flags,Q&65536?(ne.flags=Q&-65537|128,ne):null;case 3:return lf(),io(No),io(Na),Nu(),Q=ne.flags,Q&65536&&!(Q&128)?(ne.flags=Q&-65537|128,ne):null;case 5:return Oo(ne),null;case 13:if(io(go),Q=ne.memoizedState,Q!==null&&Q.dehydrated!==null){if(ne.alternate===null)throw Error(R(340));fc()}return Q=ne.flags,Q&65536?(ne.flags=Q&-65537|128,ne):null;case 19:return io(go),null;case 4:return lf(),null;case 10:return pa(ne.type._context),null;case 22:case 23:return Lh(),null;case 24:return null;default:return null}}var ic=!1,ha=!1,bp=typeof WeakSet=="function"?WeakSet:Set,ro=null;function ff(Q,ne){var Se=Q.ref;if(Se!==null)if(typeof Se=="function")try{Se(null)}catch(Fe){Us(Q,ne,Fe)}else Se.current=null}function g1(Q,ne,Se){try{Se()}catch(Fe){Us(Q,ne,Fe)}}var wh=!1;function Xp(Q,ne){if(yn=wi,Q=Ii(),vl(Q)){if("selectionStart"in Q)var Se={start:Q.selectionStart,end:Q.selectionEnd};else 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Ze=Se[Fe],ct=Ze.getSnapshot;Ze=Ze.value;try{if(!_r(ct(),Ze))return!1}catch{return!1}}}if(Se=ne.child,ne.subtreeFlags&16384&&Se!==null)Se.return=ne,ne=Se;else{if(ne===Q)break;for(;ne.sibling===null;){if(ne.return===null||ne.return===Q)return!0;ne=ne.return}ne.sibling.return=ne.return,ne=ne.sibling}}return!0}function Ld(Q,ne){for(ne&=~_1,ne&=~Kf,Q.suspendedLanes|=ne,Q.pingedLanes&=~ne,Q=Q.expirationTimes;0<ne;){var Se=31-Li(ne),Fe=1<<Se;Q[Se]=-1,ne&=~Fe}}function $p(Q){if(Mi&6)throw Error(R(327));mf();var ne=$a(Q,0);if(!(ne&1))return nl(Q,In()),null;var Se=Ph(Q,ne);if(Q.tag!==0&&Se===2){var Fe=as(Q);Fe!==0&&(ne=Fe,Se=Wf(Q,Fe))}if(Se===1)throw Se=Sp,Yf(Q,0),Ld(Q,ne),nl(Q,In()),Se;if(Se===6)throw Error(R(345));return Q.finishedWork=Q.current.alternate,Q.finishedLanes=ne,vf(Q,gu,Xd),nl(Q,In()),null}function S1(Q,ne){var Se=Mi;Mi|=1;try{return Q(ne)}finally{Mi=Se,Mi===0&&(Tp=In()+500,Bc&&Da())}}function Pd(Q){ws!==null&&ws.tag===0&&!(Mi&6)&&mf();var ne=Mi;Mi|=1;var Se=qc.transition,Fe=Qn;try{if(qc.transition=null,Qn=1,Q)return Q()}finally{Qn=Fe,qc.transition=Se,Mi=ne,!(Mi&6)&&Da()}}function Lh(){ac=xp.current,io(xp)}function Yf(Q,ne){Q.finishedWork=null,Q.finishedLanes=0;var Se=Q.timeoutHandle;if(Se!==-1&&(Q.timeoutHandle=-1,Ao(Se)),os!==null)for(Se=os.return;Se!==null;){var Fe=Se;switch(dc(Fe),Fe.tag){case 1:Fe=Fe.type.childContextTypes,Fe!=null&&Es();break;case 3:lf(),io(No),io(Na),Nu();break;case 5:Oo(Fe);break;case 4:lf();break;case 13:io(go);break;case 19:io(go);break;case 10:pa(Fe.type._context);break;case 22:case 23:Lh()}Se=Se.return}if(Ks=Q,os=Q=yf(Q.current,null),Cl=ac=ne,Al=0,Sp=null,_1=Kf=hf=0,gu=gf=null,ds!==null){for(ne=0;ne<ds.length;ne++)if(Se=ds[ne],Fe=Se.interleaved,Fe!==null){Se.interleaved=null;var Ze=Fe.next,ct=Se.pending;if(ct!==null){var At=ct.next;ct.next=Ze,Fe.next=At}Se.pending=Fe}ds=null}return Q}function sg(Q,ne){do{var Se=os;try{if(Vd(),tl.current=Bo,Pa){for(var Fe=La.memoizedState;Fe!==null;){var 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ne=fg(Q.alternate,Q,ac);Q.memoizedProps=Q.pendingProps,ne===null?cg(Q):os=ne,kh.current=null}function cg(Q){var ne=Q;do{var Se=ne.alternate;if(Q=ne.return,ne.flags&32768){if(Se=rv(Se,ne),Se!==null){Se.flags&=32767,os=Se;return}if(Q!==null)Q.flags|=32768,Q.subtreeFlags=0,Q.deletions=null;else{Al=6,os=null;return}}else if(Se=tv(Se,ne,ac),Se!==null){os=Se;return}if(ne=ne.sibling,ne!==null){os=ne;return}os=ne=Q}while(ne!==null);Al===0&&(Al=5)}function vf(Q,ne,Se){var Fe=Qn,Ze=qc.transition;try{qc.transition=null,Qn=1,av(Q,ne,Se,Fe)}finally{qc.transition=Ze,Qn=Fe}return null}function av(Q,ne,Se,Fe){do mf();while(ws!==null);if(Mi&6)throw Error(R(327));Se=Q.finishedWork;var Ze=Q.finishedLanes;if(Se===null)return null;if(Q.finishedWork=null,Q.finishedLanes=0,Se===Q.current)throw Error(R(177));Q.callbackNode=null,Q.callbackPriority=0;var ct=Se.lanes|Se.childLanes;if(vs(Q,ct),Q===Ks&&(os=Ks=null,Cl=0),!(Se.subtreeFlags&2064)&&!(Se.flags&2064)||Cp||(Cp=!0,pg(Nn,function(){return mf(),null})),ct=(Se.flags&15990)!==0,Se.subtreeFlags&15990||ct){ct=qc.transition,qc.transition=null;var At=Qn;Qn=1;var Wt=Mi;Mi|=4,kh.current=null,Xp(Q,Se),y1(Se,Q),Ha(Wr),wi=!!yn,Wr=yn=null,Q.current=Se,ig(Se),po(),Mi=Wt,Qn=At,qc.transition=ct}else Q.current=Se;if(Cp&&(Cp=!1,ws=Q,Nh=Ze),ct=Q.pendingLanes,ct===0&&(Kc=null),ks(Se.stateNode),nl(Q,In()),ne!==null)for(Fe=Q.onRecoverableError,Se=0;Se<ne.length;Se++)Ze=ne[Se],Fe(Ze.value,{componentStack:Ze.stack,digest:Ze.digest});if(Ih)throw Ih=!1,Q=b1,b1=null,Q;return Nh&1&&Q.tag!==0&&mf(),ct=Q.pendingLanes,ct&1?Q===Dh?Jp++:(Jp=0,Dh=Q):Jp=0,Da(),null}function mf(){if(ws!==null){var Q=va(Nh),ne=qc.transition,Se=Qn;try{if(qc.transition=null,Qn=16>Q?16:Q,ws===null)var Fe=!1;else{if(Q=ws,ws=null,Nh=0,Mi&6)throw Error(R(331));var Ze=Mi;for(Mi|=4,ro=Q.current;ro!==null;){var ct=ro,At=ct.child;if(ro.flags&16){var Wt=ct.deletions;if(Wt!==null){for(var or=0;or<Wt.length;or++){var Dr=Wt[or];for(ro=Dr;ro!==null;){var sn=ro;switch(sn.tag){case 0:case 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mi.onPostCommitFiberRoot=="function")try{mi.onPostCommitFiberRoot(Ji,Q)}catch{}Fe=!0}return Fe}finally{Qn=Se,qc.transition=ne}}return!1}function T1(Q,ne,Se){ne=jl(Se,ne),ne=cu(Q,ne,1),Q=wd(Q,ne,1),ne=Fl(),Q!==null&&(ga(Q,1,ne),nl(Q,ne))}function Us(Q,ne,Se){if(Q.tag===3)T1(Q,Q,Se);else for(;ne!==null;){if(ne.tag===3){T1(ne,Q,Se);break}else if(ne.tag===1){var Fe=ne.stateNode;if(typeof ne.type.getDerivedStateFromError=="function"||typeof Fe.componentDidCatch=="function"&&(Kc===null||!Kc.has(Fe))){Q=jl(Se,Q),Q=Du(ne,Q,1),ne=wd(ne,Q,1),Q=Fl(),ne!==null&&(ga(ne,1,Q),nl(ne,Q));break}}ne=ne.return}}function sv(Q,ne,Se){var Fe=Q.pingCache;Fe!==null&&Fe.delete(ne),ne=Fl(),Q.pingedLanes|=Q.suspendedLanes&Se,Ks===Q&&(Cl&Se)===Se&&(Al===4||Al===3&&(Cl&130023424)===Cl&&500>In()-Qp?Yf(Q,0):_1|=Se),nl(Q,ne)}function dg(Q,ne){ne===0&&(Q.mode&1?(ne=aa,aa<<=1,!(aa&130023424)&&(aa=4194304)):ne=1);var Se=Fl();Q=pc(Q,ne),Q!==null&&(ga(Q,ne,Se),nl(Q,Se))}function C1(Q){var ne=Q.memoizedState,Se=0;ne!==null&&(Se=ne.retryLane),dg(Q,Se)}function lv(Q,ne){var Se=0;switch(Q.tag){case 13:var Fe=Q.stateNode,Ze=Q.memoizedState;Ze!==null&&(Se=Ze.retryLane);break;case 19:Fe=Q.stateNode;break;default:throw Error(R(314))}Fe!==null&&Fe.delete(ne),dg(Q,Se)}var fg;fg=function(Q,ne,Se){if(Q!==null)if(Q.memoizedProps!==ne.pendingProps||No.current)du=!0;else{if(!(Q.lanes&Se)&&!(ne.flags&128))return du=!1,fs(Q,ne,Se);du=!!(Q.flags&131072)}else du=!1,la&&ne.flags&1048576&&su(ne,Va,ne.index);switch(ne.lanes=0,ne.tag){case 2:var Fe=ne.type;zf(Q,ne),Q=ne.pendingProps;var Ze=Ml(ne,Na.current);Ma(ne,Se),Ze=pd(null,ne,Fe,Q,Ze,Se);var ct=oc();return ne.flags|=1,typeof Ze=="object"&&Ze!==null&&typeof Ze.render=="function"&&Ze.$$typeof===void 0?(ne.tag=1,ne.memoizedState=null,ne.updateQueue=null,Ga(Fe)?(ct=!0,Qa(ne)):ct=!1,ne.memoizedState=Ze.state!==null&&Ze.state!==void 0?Ze.state:null,Vp(ne),Ze.updater=cd,ne.stateNode=Ze,Ze._reactInternals=ne,Ra(ne,Fe,Q,Se),ne=Ch(null,ne,Fe,!0,ct,Se)):(ne.tag=0,la&&ct&&Pl(ne),rl(null,ne,Ze,Se),ne=ne.child),ne;case 16:Fe=ne.elementType;e:{switch(zf(Q,ne),Q=ne.pendingProps,Ze=Fe._init,Fe=Ze(Fe._payload),ne.type=Fe,Ze=ne.tag=Bh(Fe),Q=lu(Fe,Q),Ze){case 0:ne=oi(null,ne,Fe,Q,Se);break e;case 1:ne=Wp(null,ne,Fe,Q,Se);break e;case 11:ne=Bf(null,ne,Fe,Q,Se);break e;case 14:ne=fu(null,ne,Fe,lu(Fe.type,Q),Se);break e}throw Error(R(306,Fe,""))}return ne;case 0:return Fe=ne.type,Ze=ne.pendingProps,Ze=ne.elementType===Fe?Ze:lu(Fe,Ze),oi(Q,ne,Fe,Ze,Se);case 1:return Fe=ne.type,Ze=ne.pendingProps,Ze=ne.elementType===Fe?Ze:lu(Fe,Ze),Wp(Q,ne,Fe,Ze,Se);case 3:e:{if(Ud(ne),Q===null)throw Error(R(387));Fe=ne.pendingProps,ct=ne.memoizedState,Ze=ct.element,fp(Q,ne),fl(ne,Fe,null,Se);var At=ne.memoizedState;if(Fe=At.element,ct.isDehydrated)if(ct={element:Fe,isDehydrated:!1,cache:At.cache,pendingSuspenseBoundaries:At.pendingSuspenseBoundaries,transitions:At.transitions},ne.updateQueue.baseState=ct,ne.memoizedState=ct,ne.flags&256){Ze=jl(Error(R(423)),ne),ne=Ah(Q,ne,Fe,Se,Ze);break e}else if(Fe!==Ze){Ze=jl(Error(R(424)),ne),ne=Ah(Q,ne,Fe,Se,Ze);break e}else for(Gs=Fs(ne.stateNode.containerInfo.firstChild),ho=ne,la=!0,ku=null,Se=qp(ne,null,Fe,Se),ne.child=Se;Se;)Se.flags=Se.flags&-3|4096,Se=Se.sibling;else{if(fc(),Fe===Ze){ne=qs(Q,ne,Se);break e}rl(Q,ne,Fe,Se)}ne=ne.child}return ne;case 5:return dd(ne),Q===null&&Ul(ne),Fe=ne.type,Ze=ne.pendingProps,ct=Q!==null?Q.memoizedProps:null,At=Ze.children,Pr(Fe,Ze)?At=null:ct!==null&&Pr(Fe,ct)&&(ne.flags|=32),jf(Q,ne),rl(Q,ne,At,Se),ne.child;case 6:return Q===null&&Ul(ne),null;case 13:return Yp(Q,ne,Se);case 4:return gp(ne,ne.stateNode.containerInfo),Fe=ne.pendingProps,Q===null?ne.child=Od(ne,null,Fe,Se):rl(Q,ne,Fe,Se),ne.child;case 11:return Fe=ne.type,Ze=ne.pendingProps,Ze=ne.elementType===Fe?Ze:lu(Fe,Ze),Bf(Q,ne,Fe,Ze,Se);case 7:return rl(Q,ne,ne.pendingProps,Se),ne.child;case 8:return rl(Q,ne,ne.pendingProps.children,Se),ne.child;case 12:return rl(Q,ne,ne.pendingProps.children,Se),ne.child;case 10:e:{if(Fe=ne.type._context,Ze=ne.pendingProps,ct=ne.memoizedProps,At=Ze.value,Ti(jc,Fe._currentValue),Fe._currentValue=At,ct!==null)if(_r(ct.value,At)){if(ct.children===Ze.children&&!No.current){ne=qs(Q,ne,Se);break e}}else for(ct=ne.child,ct!==null&&(ct.return=ne);ct!==null;){var Wt=ct.dependencies;if(Wt!==null){At=ct.child;for(var or=Wt.firstContext;or!==null;){if(or.context===Fe){if(ct.tag===1){or=Sa(-1,Se&-Se),or.tag=2;var Dr=ct.updateQueue;if(Dr!==null){Dr=Dr.shared;var sn=Dr.pending;sn===null?or.next=or:(or.next=sn.next,sn.next=or),Dr.pending=or}}ct.lanes|=Se,or=ct.alternate,or!==null&&(or.lanes|=Se),cs(ct.return,Se,ne),Wt.lanes|=Se;break}or=or.next}}else if(ct.tag===10)At=ct.type===ne.type?null:ct.child;else if(ct.tag===18){if(At=ct.return,At===null)throw Error(R(341));At.lanes|=Se,Wt=At.alternate,Wt!==null&&(Wt.lanes|=Se),cs(At,Se,ne),At=ct.sibling}else At=ct.child;if(At!==null)At.return=ct;else for(At=ct;At!==null;){if(At===ne){At=null;break}if(ct=At.sibling,ct!==null){ct.return=At.return,At=ct;break}At=At.return}ct=At}rl(Q,ne,Ze.children,Se),ne=ne.child}return ne;case 9:return Ze=ne.type,Fe=ne.pendingProps.children,Ma(ne,Se),Ze=En(Ze),Fe=Fe(Ze),ne.flags|=1,rl(Q,ne,Fe,Se),ne.child;case 14:return Fe=ne.type,Ze=lu(Fe,ne.pendingProps),Ze=lu(Fe.type,Ze),fu(Q,ne,Fe,Ze,Se);case 15:return Up(Q,ne,ne.type,ne.pendingProps,Se);case 17:return Fe=ne.type,Ze=ne.pendingProps,Ze=ne.elementType===Fe?Ze:lu(Fe,Ze),zf(Q,ne),ne.tag=1,Ga(Fe)?(Q=!0,Qa(ne)):Q=!1,Ma(ne,Se),hp(ne,Fe,Ze),Ra(ne,Fe,Ze,Se),Ch(null,ne,Fe,!0,Q,Se);case 19:return h1(Q,ne,Se);case 22:return Mu(Q,ne,Se)}throw Error(R(156,ne.tag))};function pg(Q,ne){return Qt(Q,ne)}function hg(Q,ne,Se,Fe){this.tag=Q,this.key=Se,this.sibling=this.child=this.return=this.stateNode=this.type=this.elementType=null,this.index=0,this.ref=null,this.pendingProps=ne,this.dependencies=this.memoizedState=this.updateQueue=this.memoizedProps=null,this.mode=Fe,this.subtreeFlags=this.flags=0,this.deletions=null,this.childLanes=this.lanes=0,this.alternate=null}function _c(Q,ne,Se,Fe){return new hg(Q,ne,Se,Fe)}function A1(Q){return Q=Q.prototype,!(!Q||!Q.isReactComponent)}function Bh(Q){if(typeof Q=="function")return A1(Q)?1:0;if(Q!=null){if(Q=Q.$$typeof,Q===Je)return 11;if(Q===tt)return 14}return 2}function yf(Q,ne){var Se=Q.alternate;return 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O in S){const I=S[O];if(I){const N=Array.isArray(I);C==="rtl"?R+=(N?I[1]:I)+" ":R+=(N?I[0]:I)+" "}}return R.slice(0,-1)}function reduceToClassNameForSlots(S,C){const R={};for(const O in S){const I=reduceToClassName(S[O],C);if(I===""){R[O]="";continue}const N=hashSequence(I,C),L=N+" "+I;DEFINITION_LOOKUP_TABLE[N]=[S[O],C],R[O]=L}return R}var define_process_env_default$1j={};const mergeClassesCachedResults={};function mergeClasses(){let S=null,C="",R="";const O=new Array(arguments.length);let I="";for(let V=0;V<arguments.length;V++){const K=arguments[V];if(typeof K=="string"&&K!==""){const W=K.indexOf(SEQUENCE_PREFIX);if(W===-1)define_process_env_default$1j.NODE_ENV!=="production"&&K.split(" ").forEach(X=>{X.startsWith(RESET_HASH_PREFIX)&&DEBUG_RESET_CLASSES[X]&&(I?console.error(`mergeClasses(): a passed string contains multiple classes produced by makeResetStyles (${K} & ${C}, this will lead to non-deterministic behavior. 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V=R.find(({className:K})=>K===j);!V&&C[0][L]?F=getDirectionalClassName(C[0][L],C[1]):V&&C[0][L]?F=(O?O.filter(({debugClassNames:W})=>W.filter(({className:X})=>X===j).length>0).length>0:!1)?V.className:V.overriddenBy:(!V&&!C[0][L]||V&&!C[0][L])&&(F=void 0)}return{className:j,overriddenBy:F}})}function getDebugTree(S,C){const R=DEFINITION_LOOKUP_TABLE[S];if(R===void 0)return;const O=C?DEFINITION_LOOKUP_TABLE[C.sequenceHash]:void 0,I=getDebugClassNames(R,O,C==null?void 0:C.debugClassNames,C==null?void 0:C.children),N={sequenceHash:S,direction:R[1],children:[],debugClassNames:I};return debugData.getChildrenSequences(N.sequenceHash).reverse().forEach(B=>{const j=getDebugTree(B,N);j&&N.children.push(j)}),N.children.length||(N.rules={},N.debugClassNames.forEach(({className:B})=>{const j=debugData.getSequenceDetails(S);j&&(N.slot=j.slotName,N.sourceURL=j.sourceURL);const F=debugData.getCSSRules().find(V=>V.includes(B));N.rules[B]=F})),N}function injectDevTools(S){const C=S.defaultView;if(!C||C.__GRIFFEL_DEVTOOLS__)return;const R={getInfo:O=>{const I=Array.from(O.classList).find(N=>N.startsWith(SEQUENCE_PREFIX));if(I!==void 0)return getDebugTree(I)}};Object.defineProperty(C,"__GRIFFEL_DEVTOOLS__",{configurable:!1,enumerable:!1,get(){return R}})}const isDevToolsEnabled=(()=>{var S;try{return!!(typeof window<"u"&&(!((S=window.sessionStorage)===null||S===void 0)&&S.getItem("__GRIFFEL_DEVTOOLS__")))}catch{return!1}})();var define_process_env_default$1i={};function normalizeCSSBucketEntry(S){if(!Array.isArray(S))return[S];if(define_process_env_default$1i.NODE_ENV!=="production"&&S.length>2)throw new Error("CSS Bucket contains an entry with greater than 2 items, please report this to https://github.com/microsoft/griffel/issues");return S}function createIsomorphicStyleSheet(S,C,R){const O=[];if(R[DATA_BUCKET_ATTR]=C,S)for(const N in R)S.setAttribute(N,R[N]);function I(N){return S!=null&&S.sheet?S.sheet.insertRule(N,S.sheet.cssRules.length):O.push(N)}return{elementAttributes:R,insertRule:I,element:S,bucketName:C,cssRules(){return S!=null&&S.sheet?Array.from(S.sheet.cssRules).map(N=>N.cssText):O}}}const styleBucketOrdering=["r","d","l","v","w","f","i","h","a","s","k","t","m","c"],styleBucketOrderingMap=styleBucketOrdering.reduce((S,C,R)=>(S[C]=R,S),{});function getStyleSheetForBucket(S,C,R,O,I={}){const N=S==="m",L=N?S+I.m:S;if(!O.stylesheets[L]){const B=C&&C.createElement("style"),j=createIsomorphicStyleSheet(B,S,{...O.styleElementAttributes,...N&&{media:I.m}});O.stylesheets[L]=j,C&&B&&C.head.insertBefore(B,findInsertionPoint(C,R,S,O,I))}return O.stylesheets[L]}function findInsertionPoint(S,C,R,O,I){const N=styleBucketOrderingMap[R];let L=V=>N-styleBucketOrderingMap[V.getAttribute(DATA_BUCKET_ATTR)],B=S.head.querySelectorAll(`[${DATA_BUCKET_ATTR}]`);if(R==="m"&&I){const V=S.head.querySelectorAll(`[${DATA_BUCKET_ATTR}="${R}"]`);V.length&&(B=V,L=K=>O.compareMediaQueries(I.m,K.media))}const j=B.length;let F=j-1;for(;F>=0;){const V=B.item(F);if(L(V)>0)return V.nextSibling;F--}return j>0?B.item(0):C?C.nextSibling:null}var define_process_env_default$1h={};const ignoreSuffixes=["-moz-placeholder","-moz-focus-inner","-moz-focusring","-ms-input-placeholder","-moz-read-write","-moz-read-only"].join("|"),ignoreSuffixesRegex=new RegExp(`:(${ignoreSuffixes})`);function safeInsertRule(S,C){try{S.insertRule(C)}catch(R){define_process_env_default$1h.NODE_ENV!=="production"&&!ignoreSuffixesRegex.test(C)&&console.error(`There was a problem inserting the following rule: "${C}"`,R)}}var define_process_env_default$1g={};let lastIndex=0;const defaultCompareMediaQueries=(S,C)=>S<C?-1:S>C?1:0;function createDOMRenderer(S=typeof document>"u"?void 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Error().stack).split(`
-`),C=findUserMakeStyleCallInStacks(S);if(C===void 0)return;const R=parseStackTraceLine(C);return R==null?void 0:R.loc}function findUserMakeStyleCallInStacks(S){for(let C=S.length-1;C>=0;--C)if(S[C].includes("at getSourceURLfromError"))return S[C+3]}const insertionFactory$1=()=>{const S={};return function(R,O){S[R.id]===void 0&&(R.insertCSSRules(O),S[R.id]=!0)}};function arrayToObject(S){return S.reduce(function(C,R){var O=R[0],I=R[1];return C[O]=I,C[I]=O,C},{})}function isBoolean$2(S){return typeof S=="boolean"}function isFunction$8(S){return typeof S=="function"}function isNumber$6(S){return typeof S=="number"}function isNullOrUndefined$4(S){return S===null||typeof S>"u"}function isObject$C(S){return S&&typeof S=="object"}function isString$3(S){return typeof S=="string"}function includes(S,C){return S.indexOf(C)!==-1}function flipSign(S){return parseFloat(S)===0?S:S[0]==="-"?S.slice(1):"-"+S}function flipTransformSign(S,C,R,O){return C+flipSign(R)+O}function calculateNewBackgroundPosition(S){var C=S.indexOf(".");if(C===-1)S=100-parseFloat(S)+"%";else{var R=S.length-C-2;S=100-parseFloat(S),S=S.toFixed(R)+"%"}return S}function getValuesAsList(S){return S.replace(/ +/g," ").split(" ").map(function(C){return C.trim()}).filter(Boolean).reduce(function(C,R){var O=C.list,I=C.state,N=(R.match(/\(/g)||[]).length,L=(R.match(/\)/g)||[]).length;return I.parensDepth>0?O[O.length-1]=O[O.length-1]+" "+R:O.push(R),I.parensDepth+=N-L,{list:O,state:I}},{list:[],state:{parensDepth:0}}).list}function handleQuartetValues(S){var C=getValuesAsList(S);if(C.length<=3||C.length>4)return S;var R=C[0],O=C[1],I=C[2],N=C[3];return[R,N,I,O].join(" ")}function canConvertValue(S){return!isBoolean$2(S)&&!isNullOrUndefined$4(S)}function splitShadow(S){for(var C=[],R=0,O=0,I=!1;O<S.length;)!I&&S[O]===","?(C.push(S.substring(R,O).trim()),O++,R=O):S[O]==="("?(I=!0,O++):(S[O]===")"&&(I=!1),O++);return R!=O&&C.push(S.substring(R,O+1)),C}var propertyValueConverters={padding:function(C){var R=C.value;return isNumber$6(R)?R:handleQuartetValues(R)},textShadow:function(C){var R=C.value,O=splitShadow(R).map(function(I){return I.replace(/(^|\s)(-*)([.|\d]+)/,function(N,L,B,j){if(j==="0")return N;var F=B===""?"-":"";return""+L+F+j})});return O.join(",")},borderColor:function(C){var R=C.value;return handleQuartetValues(R)},borderRadius:function(C){var R=C.value;if(isNumber$6(R))return R;if(includes(R,"/")){var O=R.split("/"),I=O[0],N=O[1],L=propertyValueConverters.borderRadius({value:I.trim()}),B=propertyValueConverters.borderRadius({value:N.trim()});return L+" / "+B}var j=getValuesAsList(R);switch(j.length){case 2:return j.reverse().join(" ");case 4:{var F=j[0],V=j[1],K=j[2],W=j[3];return[V,F,W,K].join(" ")}default:return R}},background:function(C){var R=C.value,O=C.valuesToConvert,I=C.isRtl,N=C.bgImgDirectionRegex,L=C.bgPosDirectionRegex;if(isNumber$6(R))return R;var B=R.replace(/(url\(.*?\))|(rgba?\(.*?\))|(hsl\(.*?\))|(#[a-fA-F0-9]+)|((^| )(\D)+( |$))/g,"").trim();return R=R.replace(B,propertyValueConverters.backgroundPosition({value:B,valuesToConvert:O,isRtl:I,bgPosDirectionRegex:L})),propertyValueConverters.backgroundImage({value:R,valuesToConvert:O,bgImgDirectionRegex:N})},backgroundImage:function(C){var R=C.value,O=C.valuesToConvert,I=C.bgImgDirectionRegex;return!includes(R,"url(")&&!includes(R,"linear-gradient(")?R:R.replace(I,function(N,L,B){return N.replace(B,O[B])})},backgroundPosition:function(C){var R=C.value,O=C.valuesToConvert,I=C.isRtl,N=C.bgPosDirectionRegex;return R.replace(I?/^((-|\d|\.)+%)/:null,function(L,B){return calculateNewBackgroundPosition(B)}).replace(N,function(L){return O[L]})},backgroundPositionX:function(C){var R=C.value,O=C.valuesToConvert,I=C.isRtl,N=C.bgPosDirectionRegex;return isNumber$6(R)?R:propertyValueConverters.backgroundPosition({value:R,valuesToConvert:O,isRtl:I,bgPosDirectionRegex:N})},transition:function(C){var R=C.value,O=C.propertiesToConvert;return R.split(/,\s*/g).map(function(I){var N=I.split(" ");return N[0]=O[N[0]]||N[0],N.join(" ")}).join(", ")},transitionProperty:function(C){var R=C.value,O=C.propertiesToConvert;return R.split(/,\s*/g).map(function(I){return O[I]||I}).join(", ")},transform:function(C){var R=C.value,O="[^\\u0020-\\u007e]",I="(?:(?:(?:\\[0-9a-f]{1,6})(?:\\r\\n|\\s)?)|\\\\[^\\r\\n\\f0-9a-f])",N="((?:-?"+("(?:[0-9]*\\.[0-9]+|[0-9]+)(?:\\s*(?:em|ex|px|cm|mm|in|pt|pc|deg|rad|grad|ms|s|hz|khz|%)|"+("-?"+("(?:[_a-z]|"+O+"|"+I+")")+("(?:[_a-z0-9-]|"+O+"|"+I+")")+"*")+")?")+")|(?:inherit|auto))",L=new RegExp("(translateX\\s*\\(\\s*)"+N+"(\\s*\\))","gi"),B=new RegExp("(translate\\s*\\(\\s*)"+N+"((?:\\s*,\\s*"+N+"){0,1}\\s*\\))","gi"),j=new RegExp("(translate3d\\s*\\(\\s*)"+N+"((?:\\s*,\\s*"+N+"){0,2}\\s*\\))","gi"),F=new RegExp("(rotate[ZY]?\\s*\\(\\s*)"+N+"(\\s*\\))","gi");return 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K=trimSelector(C.join("")),W=hashPropertyKey(K,N,R,I,F),X=hashClassName({container:N,media:R,layer:O,value:V.map(we=>(we??"").toString()).join(";"),support:I,selector:K,property:F}),J=V.map(we=>convertProperty(F,we));if(!!J.some(we=>we.key!==J[0].key)){define_process_env_default$1d.NODE_ENV!=="production"&&console.error("makeStyles(): mixing CSS fallback values which result in multiple CSS properties in RTL is not supported.");continue}const pe=J[0].key!==F||J.some((we,ke)=>we.value!==V[ke]),me=pe?hashClassName({container:N,value:J.map(we=>{var ke;return((ke=we==null?void 0:we.value)!==null&&ke!==void 0?ke:"").toString()}).join(";"),property:J[0].key,selector:K,layer:O,media:R,support:I}):void 0,xe=pe?{rtlClassName:me,rtlProperty:J[0].key,rtlValue:J.map(we=>we.value)}:void 0,Ae=getStyleBucketName(C,O,R,I,N),[ge,Te]=compileAtomicCSSRule({className:X,media:R,layer:O,selectors:C,property:F,support:I,container:N,value:V,...xe});pushToClassesMap(L,W,X,me),pushToCSSRules(B,Ae,ge,Te,R)}else 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O=null,I=null,N=null,L=null,B;define_process_env_default$1c.NODE_ENV!=="production"&&isDevToolsEnabled&&(B=getSourceURLfromError());function j(F){const{dir:V,renderer:K}=F;O===null&&([O,I]=resolveStyleRulesForSlots(S));const W=V==="ltr";W?N===null&&(N=reduceToClassNameForSlots(O,V)):L===null&&(L=reduceToClassNameForSlots(O,V)),R(K,I);const X=W?N:L;return define_process_env_default$1c.NODE_ENV!=="production"&&isDevToolsEnabled&&debugData.addSequenceDetails(X,B),X}return j}var define_process_env_default$1b={};function __styles$1(S,C,R=insertionFactory$1){const O=R();let I=null,N=null,L;define_process_env_default$1b.NODE_ENV!=="production"&&isDevToolsEnabled&&(L=getSourceURLfromError());function B(j){const{dir:F,renderer:V}=j,K=F==="ltr";K?I===null&&(I=reduceToClassNameForSlots(S,F)):N===null&&(N=reduceToClassNameForSlots(S,F)),O(V,C);const W=K?I:N;return define_process_env_default$1b.NODE_ENV!=="production"&&isDevToolsEnabled&&debugData.addSequenceDetails(W,L),W}return B}var define_process_env_default$1a={};function __resetStyles$1(S,C,R,O=insertionFactory$1){const I=O();function N(L){const{dir:B,renderer:j}=L,F=B==="ltr"?S:C||S;return I(j,Array.isArray(R)?{r:R}:R),define_process_env_default$1a.NODE_ENV!=="production"&&(DEBUG_RESET_CLASSES[F]=1),F}return N}const shorthands={border,borderLeft,borderBottom,borderRight,borderTop,borderColor,borderStyle,borderRadius:borderRadius$1,borderWidth:borderWidth$1,flex,gap,gridArea,margin,marginBlock,marginInline,padding,paddingBlock,paddingInline,overflow,inset,outline,transition:transition$1,textDecoration};function canUseDOM$4(){return typeof window<"u"&&!!(window.document&&window.document.createElement)}var reactExports=requireReact();const React=getDefaultExportFromCjs(reactExports),React$1=_mergeNamespaces({__proto__:null,default:React},[reactExports]),useInsertionEffect$2=React$1.useInsertionEffect?React$1.useInsertionEffect:void 0,insertionFactory=()=>{const S={};return 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- *
- * This source code is licensed under the MIT license found in the
- * LICENSE file in the root directory of this source tree.
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0 0 1 10 17a8.16 8.16 0 0 1-4.33-1.05A3.36 3.36 0 0 1 4 13Z"]),ShieldCheckmark24Regular=createFluentIcon("ShieldCheckmark24Regular","24",["M3 5.75c0-.41.34-.75.75-.75 2.66 0 5.26-.94 7.8-2.85.27-.2.63-.2.9 0C14.99 4.05 17.59 5 20.25 5c.41 0 .75.34.75.75V11c0 .34-.01.67-.04 1a6.47 6.47 0 0 0-1.46-.69V6.48a14.36 14.36 0 0 1-7.5-2.8 14.36 14.36 0 0 1-7.5 2.8V11c0 4.15 2.33 7.22 7.13 9.28.26.56.6 1.07 1 1.52l-.36.15a.75.75 0 0 1-.54 0C5.96 19.68 3 16 3 11V5.75ZM23 17.5a5.5 5.5 0 1 1-11 0 5.5 5.5 0 0 1 11 0Zm-2.15-2.35a.5.5 0 0 0-.7 0l-3.65 3.64-1.65-1.64a.5.5 0 0 0-.7.7l2 2c.2.2.5.2.7 0l4-4a.5.5 0 0 0 0-.7Z"]),TextBulletListSquareWarning24Regular=createFluentIcon("TextBulletListSquareWarning24Regular","24",["M7.75 9.25a1 1 0 1 0 0-2 1 1 0 0 0 0 2Zm3.5-1.75a.75.75 0 0 0 0 1.5h5.5a.75.75 0 0 0 0-1.5h-5.5Zm0 3.75a.75.75 0 1 0 0 1.5h3.83l.19-.37c.26-.53.67-.9 1.13-1.13h-5.15Zm0 3.75h2.7l-.74 1.5h-1.96a.75.75 0 1 1 0-1.5Zm-5 4.5h5.46l-.44.88c-.1.2-.17.41-.22.62h-4.8A3.25 3.25 0 0 1 3 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0-9Z"]),renderFluentProvider_unstable=(S,C)=>(assertSlots(S),jsx$1(Provider,{value:C.provider,children:jsx$1(ThemeProvider,{value:C.theme,children:jsx$1(ThemeClassNameProvider,{value:C.themeClassName,children:jsx$1(CustomStyleHooksProvider,{value:C.customStyleHooks_unstable,children:jsx$1(TooltipVisibilityProvider,{value:C.tooltip,children:jsx$1(TextDirectionProvider,{dir:C.textDirection,children:jsx$1(IconDirectionContextProvider,{value:C.iconDirection,children:jsx$1(OverridesProvider,{value:C.overrides_unstable,children:jsxs(S.root,{children:[canUseDOM$3()?null:jsx$1("style",{dangerouslySetInnerHTML:{__html:S.serverStyleProps.cssRule},...S.serverStyleProps.attributes}),S.root.children]})})})})})})})})}));var define_process_env_default$12={};/*!
- * Copyright (c) Microsoft Corporation. All rights reserved.
- * Licensed under the MIT License.
- */const _canUseWeakRef=typeof WeakRef<"u";class WeakRefInstance{constructor(C){_canUseWeakRef&&typeof C=="object"?this._weakRef=new WeakRef(C):this._instance=C}deref(){var C,R,O;let I;return this._weakRef?(I=(C=this._weakRef)===null||C===void 0?void 0:C.deref(),I||delete this._weakRef):(I=this._instance,!((O=(R=I)===null||R===void 0?void 0:R.isDisposed)===null||O===void 0)&&O.call(R)&&delete this._instance),I}}/*!
- * Copyright (c) Microsoft Corporation. All rights reserved.
- * Licensed under the MIT License.
- */const KEYBORG_FOCUSIN="keyborg:focusin";function canOverrideNativeFocus(S){const C=S.HTMLElement,R=C.prototype.focus;let O=!1;return C.prototype.focus=function(){O=!0},S.document.createElement("button").focus(),C.prototype.focus=R,O}let _canOverrideNativeFocus=!1;function nativeFocus(S){const C=S.focus;C.__keyborgNativeFocus?C.__keyborgNativeFocus.call(S):S.focus()}function setupFocusEvent(S){const C=S;_canOverrideNativeFocus||(_canOverrideNativeFocus=canOverrideNativeFocus(C));const R=C.HTMLElement.prototype.focus;if(R.__keyborgNativeFocus)return;C.HTMLElement.prototype.focus=L;const O=B=>{const j=B.relatedTarget,F=B.currentTarget;F.contains(j)||(F.removeEventListener("focusin",I),F.removeEventListener("focusout",O))},I=B=>{var j;let F=B.target;if(!F)return;F.shadowRoot&&(F.shadowRoot.addEventListener("focusin",I),F.shadowRoot.addEventListener("focusout",O),F=B.composedPath()[0]);const V={relatedTarget:B.relatedTarget||void 0},K=new CustomEvent(KEYBORG_FOCUSIN,{cancelable:!0,bubbles:!0,composed:!0,detail:V});K.details=V,(_canOverrideNativeFocus||N.lastFocusedProgrammatically)&&(V.isFocusedProgrammatically=F===((j=N.lastFocusedProgrammatically)===null||j===void 0?void 0:j.deref()),N.lastFocusedProgrammatically=void 0),F.dispatchEvent(K)},N=C.__keyborgData={focusInHandler:I};C.document.addEventListener("focusin",C.__keyborgData.focusInHandler,!0);function L(){const B=C.__keyborgData;return B&&(B.lastFocusedProgrammatically=new WeakRefInstance(this)),R.apply(this,arguments)}L.__keyborgNativeFocus=R}function disposeFocusEvent(S){const C=S,R=C.HTMLElement.prototype,O=R.focus.__keyborgNativeFocus,I=C.__keyborgData;I&&(C.document.removeEventListener("focusin",I.focusInHandler,!0),delete C.__keyborgData),O&&(R.focus=O)}/*!
- * Copyright (c) Microsoft Corporation. All rights reserved.
- * Licensed under the MIT License.
- */const _dismissTimeout=500;let _lastId=0;class KeyborgState{constructor(){this.__keyborgCoreRefs={},this._isNavigatingWithKeyboard=!1}add(C){const R=C.id;R in this.__keyborgCoreRefs||(this.__keyborgCoreRefs[R]=new WeakRefInstance(C))}remove(C){delete this.__keyborgCoreRefs[C],Object.keys(this.__keyborgCoreRefs).length===0&&(this._isNavigatingWithKeyboard=!1)}setVal(C){if(this._isNavigatingWithKeyboard!==C){this._isNavigatingWithKeyboard=C;for(const R of Object.keys(this.__keyborgCoreRefs)){const I=this.__keyborgCoreRefs[R].deref();I?I.update(C):this.remove(R)}}}getVal(){return this._isNavigatingWithKeyboard}}const _state=new KeyborgState;class KeyborgCore{constructor(C,R){this._onFocusIn=I=>{if(this._isMouseUsedTimer||_state.getVal())return;const N=I.detail;N.relatedTarget&&(N.isFocusedProgrammatically||N.isFocusedProgrammatically===void 0||_state.setVal(!0))},this._onMouseDown=I=>{if(I.buttons===0||I.clientX===0&&I.clientY===0&&I.screenX===0&&I.screenY===0)return;const N=this._win;N&&(this._isMouseUsedTimer&&N.clearTimeout(this._isMouseUsedTimer),this._isMouseUsedTimer=N.setTimeout(()=>{delete this._isMouseUsedTimer},1e3)),_state.setVal(!1)},this._onKeyDown=I=>{var N,L;const B=_state.getVal(),j=I.keyCode,F=this._triggerKeys;if(!B&&(!F||F.has(j))){const V=(N=this._win)===null||N===void 0?void 0:N.document.activeElement;if(V&&(V.tagName==="INPUT"||V.tagName==="TEXTAREA"||V.contentEditable==="true"))return;_state.setVal(!0)}else B&&(!((L=this._dismissKeys)===null||L===void 0)&&L.has(j))&&this._scheduleDismiss()},this.id="c"+ ++_lastId,this._win=C;const O=C.document;if(R){const I=R.triggerKeys,N=R.dismissKeys;I!=null&&I.length&&(this._triggerKeys=new Set(I)),N!=null&&N.length&&(this._dismissKeys=new Set(N))}O.addEventListener(KEYBORG_FOCUSIN,this._onFocusIn,!0),O.addEventListener("mousedown",this._onMouseDown,!0),C.addEventListener("keydown",this._onKeyDown,!0),setupFocusEvent(C),_state.add(this)}dispose(){const C=this._win;if(C){this._isMouseUsedTimer&&(C.clearTimeout(this._isMouseUsedTimer),this._isMouseUsedTimer=void 0),this._dismissTimer&&(C.clearTimeout(this._dismissTimer),this._dismissTimer=void 0),disposeFocusEvent(C);const R=C.document;R.removeEventListener(KEYBORG_FOCUSIN,this._onFocusIn,!0),R.removeEventListener("mousedown",this._onMouseDown,!0),C.removeEventListener("keydown",this._onKeyDown,!0),delete this._win,_state.remove(this.id)}}isDisposed(){return!!this._win}update(C){var R,O;const I=(O=(R=this._win)===null||R===void 0?void 0:R.__keyborg)===null||O===void 0?void 0:O.refs;if(I)for(const N of Object.keys(I))Keyborg.update(I[N],C)}_scheduleDismiss(){const C=this._win;if(C){this._dismissTimer&&(C.clearTimeout(this._dismissTimer),this._dismissTimer=void 0);const R=C.document.activeElement;this._dismissTimer=C.setTimeout(()=>{this._dismissTimer=void 0;const O=C.document.activeElement;R&&O&&R===O&&_state.setVal(!1)},_dismissTimeout)}}}class Keyborg{constructor(C,R){this._cb=[],this._id="k"+ ++_lastId,this._win=C;const O=C.__keyborg;O?(this._core=O.core,O.refs[this._id]=this):(this._core=new KeyborgCore(C,R),C.__keyborg={core:this._core,refs:{[this._id]:this}})}static create(C,R){return new Keyborg(C,R)}static dispose(C){C.dispose()}static update(C,R){C._cb.forEach(O=>O(R))}dispose(){var C;const R=(C=this._win)===null||C===void 0?void 0:C.__keyborg;R!=null&&R.refs[this._id]?(delete R.refs[this._id],Object.keys(R.refs).length===0&&(R.core.dispose(),delete this._win.__keyborg)):define_process_env_default$12.NODE_ENV==="development"&&console.error("Keyborg instance "+this._id+" is being disposed incorrectly."),this._cb=[],delete this._core,delete this._win}isNavigatingWithKeyboard(){return _state.getVal()}subscribe(C){this._cb.push(C)}unsubscribe(C){const R=this._cb.indexOf(C);R>=0&&this._cb.splice(R,1)}setVal(C){_state.setVal(C)}}function createKeyborg(S,C){return Keyborg.create(S,C)}function disposeKeyborg(S){Keyborg.dispose(S)}var define_process_env_default$11={};/*!
- * Copyright (c) Microsoft Corporation. All rights reserved.
- * Licensed under the MIT License.
- */const TabsterAttributeName="data-tabster",TabsterDummyInputAttributeName="data-tabster-dummy",DeloserEventName="tabster:deloser",ModalizerActiveEventName="tabster:modalizer:active",ModalizerInactiveEventName="tabster:modalizer:inactive",ModalizerFocusInEventName="tabster:modalizer:focusin",ModalizerFocusOutEventName="tabster:modalizer:focusout",ModalizerBeforeFocusOutEventName="tabster:modalizer:beforefocusout",MoverEventName="tabster:mover",FocusInEventName="tabster:focusin",FocusOutEventName="tabster:focusout",MoveFocusEventName="tabster:movefocus",FocusableSelector=["a[href]","button:not([disabled])","input:not([disabled])","select:not([disabled])","textarea:not([disabled])","*[tabindex]","*[contenteditable]"].join(", "),ObservedElementAccesibilities={Any:0,Accessible:1,Focusable:2},RestoreFocusOrders={History:0,DeloserDefault:1,RootDefault:2,DeloserFirst:3,RootFirst:4},Visibilities={Invisible:0,PartiallyVisible:1,Visible:2},RestorerTypes={Source:0,Target:1},MoverDirections={Both:0,Vertical:1,Horizontal:2,Grid:3,GridLinear:4},GroupperTabbabilities={Unlimited:0,Limited:1,LimitedTrapFocus:2},SysDummyInputsPositions={Auto:0,Inside:1,Outside:2};var Types=Object.freeze({__proto__:null,TabsterAttributeName,TabsterDummyInputAttributeName,DeloserEventName,ModalizerActiveEventName,ModalizerInactiveEventName,ModalizerFocusInEventName,ModalizerFocusOutEventName,ModalizerBeforeFocusOutEventName,MoverEventName,FocusInEventName,FocusOutEventName,MoveFocusEventName,FocusableSelector,ObservedElementAccesibilities,RestoreFocusOrders,Visibilities,RestorerTypes,MoverDirections,GroupperTabbabilities,SysDummyInputsPositions});/*!
- * Copyright (c) Microsoft Corporation. All rights reserved.
- * Licensed under the MIT License.
- */function getTabsterOnElement(S,C){var R;return(R=S.storageEntry(C))===null||R===void 0?void 0:R.tabster}function updateTabsterByAttribute(S,C,R){var O,I;const N=R||S._noop?void 0:C.getAttribute(TabsterAttributeName);let L=S.storageEntry(C),B;if(N)if(N!==((O=L==null?void 0:L.attr)===null||O===void 0?void 0:O.string))try{const K=JSON.parse(N);if(typeof K!="object")throw new Error(`Value is not a JSON object, got '${N}'.`);B={string:N,object:K}}catch(K){define_process_env_default$11.NODE_ENV==="development"&&console.error(`data-tabster attribute error: ${K}`,C)}else return;else if(!L)return;L||(L=S.storageEntry(C,!0)),L.tabster||(L.tabster={});const j=L.tabster||{},F=((I=L.attr)===null||I===void 0?void 0:I.object)||{},V=(B==null?void 0:B.object)||{};for(const K of Object.keys(F))if(!V[K]){if(K==="root"){const W=j[K];W&&S.root.onRoot(W,!0)}switch(K){case"deloser":case"root":case"groupper":case"modalizer":case"restorer":case"mover":const W=j[K];W&&(W.dispose(),delete j[K]);break;case"observed":delete j[K],S.observedElement&&S.observedElement.onObservedElementUpdate(C);break;case"focusable":case"outline":case"uncontrolled":case"sys":delete j[K];break}}for(const K of Object.keys(V)){const W=V.sys;switch(K){case"deloser":j.deloser?j.deloser.setProps(V.deloser):S.deloser?j.deloser=S.deloser.createDeloser(C,V.deloser):define_process_env_default$11.NODE_ENV==="development"&&console.error("Deloser API used before initialization, please call `getDeloser()`");break;case"root":j.root?j.root.setProps(V.root):j.root=S.root.createRoot(C,V.root,W),S.root.onRoot(j.root);break;case"modalizer":j.modalizer?j.modalizer.setProps(V.modalizer):S.modalizer?j.modalizer=S.modalizer.createModalizer(C,V.modalizer,W):define_process_env_default$11.NODE_ENV==="development"&&console.error("Modalizer API used before initialization, please call `getModalizer()`");break;case"restorer":j.restorer?j.restorer.setProps(V.restorer):S.restorer?V.restorer&&(j.restorer=S.restorer.createRestorer(C,V.restorer)):define_process_env_default$11.NODE_ENV==="development"&&console.error("Restorer API used before initialization, please call `getRestorer()`");break;case"focusable":j.focusable=V.focusable;break;case"groupper":j.groupper?j.groupper.setProps(V.groupper):S.groupper?j.groupper=S.groupper.createGroupper(C,V.groupper,W):define_process_env_default$11.NODE_ENV==="development"&&console.error("Groupper API used before initialization, please call `getGroupper()`");break;case"mover":j.mover?j.mover.setProps(V.mover):S.mover?j.mover=S.mover.createMover(C,V.mover,W):define_process_env_default$11.NODE_ENV==="development"&&console.error("Mover API used before initialization, please call `getMover()`");break;case"observed":S.observedElement?(j.observed=V.observed,S.observedElement.onObservedElementUpdate(C)):define_process_env_default$11.NODE_ENV==="development"&&console.error("ObservedElement API used before initialization, please call `getObservedElement()`");break;case"uncontrolled":j.uncontrolled=V.uncontrolled;break;case"outline":S.outline?j.outline=V.outline:define_process_env_default$11.NODE_ENV==="development"&&console.error("Outline API used before initialization, please call `getOutline()`");break;case"sys":j.sys=V.sys;break;default:console.error(`Unknown key '${K}' in data-tabster attribute value.`)}}B?L.attr=B:(Object.keys(j).length===0&&(delete L.tabster,delete L.attr),S.storageEntry(C,!1))}/*!
- * Copyright (c) Microsoft Corporation. All rights reserved.
- * Licensed under the MIT License.
- */function createEventTarget(S){const C=S();try{if(C.EventTarget)return new C.EventTarget}catch(R){if(!(R instanceof TypeError))throw R}return C.document.createElement("div")}/*!
- * Copyright (c) Microsoft Corporation. All rights reserved.
- * Licensed under the MIT License.
- */let _isBrokenIE11;const _DOMRect=typeof DOMRect<"u"?DOMRect:class{constructor(S,C,R,O){this.left=S||0,this.top=C||0,this.right=(S||0)+(R||0),this.bottom=(C||0)+(O||0)}};let _uidCounter=0;try{document.createTreeWalker(document,NodeFilter.SHOW_ELEMENT),_isBrokenIE11=!1}catch(S){_isBrokenIE11=!0}const _updateDummyInputsTimeout=100;function getInstanceContext(S){const C=S();let R=C.__tabsterInstanceContext;return R||(R={elementByUId:{},basics:{Promise:C.Promise||void 0,WeakRef:C.WeakRef||void 0},containerBoundingRectCache:{},lastContainerBoundingRectCacheId:0,fakeWeakRefs:[],fakeWeakRefsStarted:!1},C.__tabsterInstanceContext=R),R}function disposeInstanceContext(S){const C=S.__tabsterInstanceContext;C&&(C.elementByUId={},delete C.WeakRef,C.containerBoundingRectCache={},C.containerBoundingRectCacheTimer&&S.clearTimeout(C.containerBoundingRectCacheTimer),C.fakeWeakRefsTimer&&S.clearTimeout(C.fakeWeakRefsTimer),C.fakeWeakRefs=[],delete S.__tabsterInstanceContext)}function createWeakMap(S){const C=S.__tabsterInstanceContext;return new((C==null?void 0:C.basics.WeakMap)||WeakMap)}function hasSubFocusable(S){return!!S.querySelector(FocusableSelector)}class FakeWeakRef{constructor(C){this._target=C}deref(){return this._target}static cleanup(C,R){return C._target?R||!documentContains(C._target.ownerDocument,C._target)?(delete C._target,!0):!1:!0}}class WeakHTMLElement{constructor(C,R,O){const I=getInstanceContext(C);let N;I.WeakRef?N=new I.WeakRef(R):(N=new FakeWeakRef(R),I.fakeWeakRefs.push(N)),this._ref=N,this._data=O}get(){const C=this._ref;let R;return C&&(R=C.deref(),R||delete this._ref),R}getData(){return this._data}}function cleanupFakeWeakRefs(S,C){const R=getInstanceContext(S);R.fakeWeakRefs=R.fakeWeakRefs.filter(O=>!FakeWeakRef.cleanup(O,C))}function startFakeWeakRefsCleanup(S){const C=getInstanceContext(S);C.fakeWeakRefsStarted||(C.fakeWeakRefsStarted=!0,C.WeakRef=getWeakRef(C)),C.fakeWeakRefsTimer||(C.fakeWeakRefsTimer=S().setTimeout(()=>{C.fakeWeakRefsTimer=void 0,cleanupFakeWeakRefs(S),startFakeWeakRefsCleanup(S)},2*60*1e3))}function stopFakeWeakRefsCleanupAndClearStorage(S){const C=getInstanceContext(S);C.fakeWeakRefsStarted=!1,C.fakeWeakRefsTimer&&(S().clearTimeout(C.fakeWeakRefsTimer),C.fakeWeakRefsTimer=void 0,C.fakeWeakRefs=[])}function createElementTreeWalker(S,C,R){if(C.nodeType!==Node.ELEMENT_NODE)return;const O=_isBrokenIE11?R:{acceptNode:R};return S.createTreeWalker(C,NodeFilter.SHOW_ELEMENT,O,!1)}function getBoundingRect(S,C){let R=C.__tabsterCacheId;const O=getInstanceContext(S),I=R?O.containerBoundingRectCache[R]:void 0;if(I)return I.rect;const N=C.ownerDocument&&C.ownerDocument.documentElement;if(!N)return new _DOMRect;let L=0,B=0,j=N.clientWidth,F=N.clientHeight;if(C!==N){const K=C.getBoundingClientRect();L=Math.max(L,K.left),B=Math.max(B,K.top),j=Math.min(j,K.right),F=Math.min(F,K.bottom)}const V=new _DOMRect(L<j?L:-1,B<F?B:-1,L<j?j-L:0,B<F?F-B:0);return R||(R="r-"+ ++O.lastContainerBoundingRectCacheId,C.__tabsterCacheId=R),O.containerBoundingRectCache[R]={rect:V,element:C},O.containerBoundingRectCacheTimer||(O.containerBoundingRectCacheTimer=window.setTimeout(()=>{O.containerBoundingRectCacheTimer=void 0;for(const K of Object.keys(O.containerBoundingRectCache))delete O.containerBoundingRectCache[K].element.__tabsterCacheId;O.containerBoundingRectCache={}},50)),V}function isElementVerticallyVisibleInContainer(S,C,R){const O=getScrollableContainer(C);if(!O)return!1;const I=getBoundingRect(S,O),N=C.getBoundingClientRect(),L=N.height*(1-R),B=Math.max(0,I.top-N.top),j=Math.max(0,N.bottom-I.bottom),F=B+j;return F===0||F<=L}function scrollIntoView$2(S,C,R){const O=getScrollableContainer(C);if(O){const I=getBoundingRect(S,O),N=C.getBoundingClientRect();R?O.scrollTop+=N.top-I.top:O.scrollTop+=N.bottom-I.bottom}}function getScrollableContainer(S){const C=S.ownerDocument;if(C){for(let R=S.parentElement;R;R=R.parentElement)if(R.scrollWidth>R.clientWidth||R.scrollHeight>R.clientHeight)return R;return C.documentElement}return null}function makeFocusIgnored(S){S.__shouldIgnoreFocus=!0}function shouldIgnoreFocus(S){return!!S.__shouldIgnoreFocus}function getUId(S){const C=new Uint32Array(4);if(S.crypto&&S.crypto.getRandomValues)S.crypto.getRandomValues(C);else if(S.msCrypto&&S.msCrypto.getRandomValues)S.msCrypto.getRandomValues(C);else for(let O=0;O<C.length;O++)C[O]=4294967295*Math.random();const R=[];for(let O=0;O<C.length;O++)R.push(C[O].toString(36));return R.push("|"),R.push((++_uidCounter).toString(36)),R.push("|"),R.push(Date.now().toString(36)),R.join("")}function getElementUId(S,C){const R=getInstanceContext(S);let O=C.__tabsterElementUID;return O||(O=C.__tabsterElementUID=getUId(S())),!R.elementByUId[O]&&documentContains(C.ownerDocument,C)&&(R.elementByUId[O]=new WeakHTMLElement(S,C)),O}function clearElementCache(S,C){const R=getInstanceContext(S);for(const O of Object.keys(R.elementByUId)){const I=R.elementByUId[O],N=I&&I.get();N&&C&&!C.contains(N)||delete R.elementByUId[O]}}function documentContains(S,C){var R;return!!(!((R=S==null?void 0:S.body)===null||R===void 0)&&R.contains(C))}function matchesSelector(S,C){const R=S.matches||S.matchesSelector||S.msMatchesSelector||S.webkitMatchesSelector;return R&&R.call(S,C)}function getPromise(S){const C=getInstanceContext(S);if(C.basics.Promise)return C.basics.Promise;throw new Error("No Promise defined.")}function getWeakRef(S){return S.basics.WeakRef}let _lastTabsterPartId=0;class TabsterPart{constructor(C,R,O){const I=C.getWindow;this._tabster=C,this._element=new WeakHTMLElement(I,R),this._props={...O},this.id="i"+ ++_lastTabsterPartId}getElement(){return this._element.get()}getProps(){return this._props}setProps(C){this._props={...C}}}class DummyInput{constructor(C,R,O,I,N){var L;this._focusIn=V=>{if(this._fixedTarget){const W=this._fixedTarget.get();W&&nativeFocus(W);return}const K=this.input;if(this.onFocusIn&&K){const W=V.relatedTarget;this.onFocusIn(this,this._isBackward(!0,K,W),W)}},this._focusOut=V=>{if(this._fixedTarget)return;this.useDefaultAction=!1;const K=this.input;if(this.onFocusOut&&K){const W=V.relatedTarget;this.onFocusOut(this,this._isBackward(!1,K,W),W)}};const B=C(),j=B.document.createElement("i");j.tabIndex=0,j.setAttribute("role","none"),j.setAttribute(TabsterDummyInputAttributeName,""),j.setAttribute("aria-hidden","true");const F=j.style;F.position="fixed",F.width=F.height="1px",F.opacity="0.001",F.zIndex="-1",F.setProperty("content-visibility","hidden"),makeFocusIgnored(j),this.input=j,this.isFirst=O.isFirst,this.isOutside=R,this._isPhantom=(L=O.isPhantom)!==null&&L!==void 0?L:!1,this._fixedTarget=N,j.addEventListener("focusin",this._focusIn),j.addEventListener("focusout",this._focusOut),j.__tabsterDummyContainer=I,this._isPhantom&&(this._disposeTimer=B.setTimeout(()=>{delete this._disposeTimer,this.dispose()},0),this._clearDisposeTimeout=()=>{this._disposeTimer&&(B.clearTimeout(this._disposeTimer),delete this._disposeTimer),delete this._clearDisposeTimeout})}dispose(){var C;this._clearDisposeTimeout&&this._clearDisposeTimeout();const R=this.input;R&&(delete this._fixedTarget,delete this.onFocusIn,delete this.onFocusOut,delete this.input,R.removeEventListener("focusin",this._focusIn),R.removeEventListener("focusout",this._focusOut),delete R.__tabsterDummyContainer,(C=R.parentElement)===null||C===void 0||C.removeChild(R))}setTopLeft(C,R){var O;const I=(O=this.input)===null||O===void 0?void 0:O.style;I&&(I.top=`${C}px`,I.left=`${R}px`)}_isBackward(C,R,O){return C&&!O?!this.isFirst:!!(O&&R.compareDocumentPosition(O)&Node.DOCUMENT_POSITION_FOLLOWING)}}const DummyInputManagerPriorities={Root:1,Modalizer:2,Mover:3,Groupper:4};class DummyInputManager{constructor(C,R,O,I,N,L){this._element=R,this._instance=new DummyInputManagerCore(C,R,this,O,I,N,L)}_setHandlers(C,R){this._onFocusIn=C,this._onFocusOut=R}moveOut(C){var R;(R=this._instance)===null||R===void 0||R.moveOut(C)}moveOutWithDefaultAction(C,R){var O;(O=this._instance)===null||O===void 0||O.moveOutWithDefaultAction(C,R)}getHandler(C){return C?this._onFocusIn:this._onFocusOut}setTabbable(C){var R;(R=this._instance)===null||R===void 0||R.setTabbable(this,C)}dispose(){this._instance&&(this._instance.dispose(this),delete this._instance),delete this._onFocusIn,delete this._onFocusOut}static moveWithPhantomDummy(C,R,O,I,N){var L;const j=new DummyInput(C.getWindow,!0,{isPhantom:!0,isFirst:!0}).input;if(j){let F,V;if(R.tagName==="BODY")F=R,V=O&&I||!O&&!I?R.firstElementChild:null;else{O&&(!I||I&&!C.focusable.isFocusable(R,!1,!0,!0))?(F=R,V=I?R.firstElementChild:null):(F=R.parentElement,V=O&&I||!O&&!I?R:R.nextElementSibling);let K,W;do K=O&&I||!O&&!I?V==null?void 0:V.previousElementSibling:V,W=(L=K==null?void 0:K.__tabsterDummyContainer)===null||L===void 0?void 0:L.get(),W===R?V=O&&I||!O&&!I?K:K==null?void 0:K.nextElementSibling:W=void 0;while(W)}F&&triggerMoveFocusEvent({by:"root",owner:F,next:null,relatedEvent:N})&&(F.insertBefore(j,V),nativeFocus(j))}}static addPhantomDummyWithTarget(C,R,O,I){const L=new DummyInput(C.getWindow,!0,{isPhantom:!0,isFirst:!0},void 0,new WeakHTMLElement(C.getWindow,I)).input;if(L){let B,j;hasSubFocusable(R)&&!O?(B=R,j=R.firstElementChild):(B=R.parentElement,j=O?R:R.nextElementSibling),B==null||B.insertBefore(L,j)}}}function setDummyInputDebugValue(S,C){var R;const O={1:"Root",2:"Modalizer",3:"Mover",4:"Groupper"};(R=S.input)===null||R===void 0||R.setAttribute(TabsterDummyInputAttributeName,[`isFirst=${S.isFirst}`,`isOutside=${S.isOutside}`,...C.map(I=>`(${O[I.priority]}, tabbable=${I.tabbable})`)].join(", "))}class DummyInputObserver{constructor(C){this._updateQueue=new Set,this._lastUpdateQueueTime=0,this._changedParents=new WeakSet,this._dummyElements=[],this._dummyCallbacks=new WeakMap,this._domChanged=R=>{var O;this._changedParents.has(R)||(this._changedParents.add(R),!this._updateDummyInputsTimer&&(this._updateDummyInputsTimer=(O=this._win)===null||O===void 0?void 0:O.call(this).setTimeout(()=>{delete this._updateDummyInputsTimer;for(const I of this._dummyElements){const N=I.get();if(N){const L=this._dummyCallbacks.get(N);if(L){const B=N.parentElement;(!B||this._changedParents.has(B))&&L()}}}this._changedParents=new WeakSet},_updateDummyInputsTimeout)))},this._win=C}add(C,R){!this._dummyCallbacks.has(C)&&this._win&&(this._dummyElements.push(new WeakHTMLElement(this._win,C)),this._dummyCallbacks.set(C,R),this.domChanged=this._domChanged)}remove(C){this._dummyElements=this._dummyElements.filter(R=>{const O=R.get();return O&&O!==C}),this._dummyCallbacks.delete(C),this._dummyElements.length===0&&delete this.domChanged}dispose(){var C;const R=(C=this._win)===null||C===void 0?void 0:C.call(this);this._updateTimer&&(R==null||R.clearTimeout(this._updateTimer),delete this._updateTimer),this._updateDummyInputsTimer&&(R==null||R.clearTimeout(this._updateDummyInputsTimer),delete this._updateDummyInputsTimer),this._changedParents=new WeakSet,this._dummyCallbacks=new WeakMap,this._dummyElements=[],this._updateQueue.clear(),delete this.domChanged,delete this._win}updatePositions(C){this._win&&(this._updateQueue.add(C),this._lastUpdateQueueTime=Date.now(),this._scheduledUpdatePositions())}_scheduledUpdatePositions(){var C;this._updateTimer||(this._updateTimer=(C=this._win)===null||C===void 0?void 0:C.call(this).setTimeout(()=>{if(delete this._updateTimer,this._lastUpdateQueueTime+_updateDummyInputsTimeout<=Date.now()){const R=new Map,O=[];for(const I of this._updateQueue)O.push(I(R));this._updateQueue.clear();for(const I of O)I();R.clear()}else this._scheduledUpdatePositions()},_updateDummyInputsTimeout))}}class DummyInputManagerCore{constructor(C,R,O,I,N,L,B){this._wrappers=[],this._isOutside=!1,this._transformElements=new Set,this._onFocusIn=(X,J,oe)=>{this._onFocus(!0,X,J,oe)},this._onFocusOut=(X,J,oe)=>{this._onFocus(!1,X,J,oe)},this.moveOut=X=>{var J;const oe=this._firstDummy,pe=this._lastDummy;if(oe&&pe){this._ensurePosition();const me=oe.input,xe=pe.input,Ae=(J=this._element)===null||J===void 0?void 0:J.get();if(me&&xe&&Ae){let ge;X?(me.tabIndex=0,ge=me):(xe.tabIndex=0,ge=xe),ge&&nativeFocus(ge)}}},this.moveOutWithDefaultAction=(X,J)=>{var oe;const pe=this._firstDummy,me=this._lastDummy;if(pe&&me){this._ensurePosition();const xe=pe.input,Ae=me.input,ge=(oe=this._element)===null||oe===void 0?void 0:oe.get();if(xe&&Ae&&ge){let Te;X?!pe.isOutside&&this._tabster.focusable.isFocusable(ge,!0,!0,!0)?Te=ge:(pe.useDefaultAction=!0,xe.tabIndex=0,Te=xe):(me.useDefaultAction=!0,Ae.tabIndex=0,Te=Ae),Te&&triggerMoveFocusEvent({by:"root",owner:ge,next:null,relatedEvent:J})&&nativeFocus(Te)}}},this.setTabbable=(X,J)=>{var oe,pe;for(const xe of this._wrappers)if(xe.manager===X){xe.tabbable=J;break}const me=this._getCurrent();if(me){const xe=me.tabbable?0:-1;let Ae=(oe=this._firstDummy)===null||oe===void 0?void 0:oe.input;Ae&&(Ae.tabIndex=xe),Ae=(pe=this._lastDummy)===null||pe===void 0?void 0:pe.input,Ae&&(Ae.tabIndex=xe)}define_process_env_default$11.NODE_ENV==="development"&&(this._firstDummy&&setDummyInputDebugValue(this._firstDummy,this._wrappers),this._lastDummy&&setDummyInputDebugValue(this._lastDummy,this._wrappers))},this._addDummyInputs=()=>{this._addTimer||(this._addTimer=this._getWindow().setTimeout(()=>{delete this._addTimer,this._ensurePosition(),define_process_env_default$11.NODE_ENV==="development"&&(this._firstDummy&&setDummyInputDebugValue(this._firstDummy,this._wrappers),this._lastDummy&&setDummyInputDebugValue(this._lastDummy,this._wrappers)),this._addTransformOffsets()},0))},this._addTransformOffsets=()=>{this._tabster._dummyObserver.updatePositions(this._computeTransformOffsets)},this._computeTransformOffsets=X=>{var J,oe;const pe=((J=this._firstDummy)===null||J===void 0?void 0:J.input)||((oe=this._lastDummy)===null||oe===void 0?void 0:oe.input),me=this._transformElements,xe=new Set;let Ae=0,ge=0;const Te=this._getWindow();for(let we=pe;we&&we.nodeType===Node.ELEMENT_NODE;we=we.parentElement){let ke=X.get(we);if(ke===void 0){const Be=Te.getComputedStyle(we).transform;Be&&Be!=="none"&&(ke={scrollTop:we.scrollTop,scrollLeft:we.scrollLeft}),X.set(we,ke||null)}ke&&(xe.add(we),me.has(we)||we.addEventListener("scroll",this._addTransformOffsets),Ae+=ke.scrollTop,ge+=ke.scrollLeft)}for(const we of me)xe.has(we)||we.removeEventListener("scroll",this._addTransformOffsets);return this._transformElements=xe,()=>{var we,ke;(we=this._firstDummy)===null||we===void 0||we.setTopLeft(Ae,ge),(ke=this._lastDummy)===null||ke===void 0||ke.setTopLeft(Ae,ge)}};const j=R.get();if(!j)throw new Error("No element");this._tabster=C,this._getWindow=C.getWindow,this._callForDefaultAction=B;const F=j.__tabsterDummy;if((F||this)._wrappers.push({manager:O,priority:I,tabbable:!0}),F)return define_process_env_default$11.NODE_ENV==="development"&&(this._firstDummy&&setDummyInputDebugValue(this._firstDummy,F._wrappers),this._lastDummy&&setDummyInputDebugValue(this._lastDummy,F._wrappers)),F;j.__tabsterDummy=this;const V=N==null?void 0:N.dummyInputsPosition,K=j.tagName;this._isOutside=V?V===SysDummyInputsPositions.Outside:(L||K==="UL"||K==="OL"||K==="TABLE")&&!(K==="LI"||K==="TD"||K==="TH"),this._firstDummy=new DummyInput(this._getWindow,this._isOutside,{isFirst:!0},R),this._lastDummy=new DummyInput(this._getWindow,this._isOutside,{isFirst:!1},R);const W=this._firstDummy.input;W&&C._dummyObserver.add(W,this._addDummyInputs),this._firstDummy.onFocusIn=this._onFocusIn,this._firstDummy.onFocusOut=this._onFocusOut,this._lastDummy.onFocusIn=this._onFocusIn,this._lastDummy.onFocusOut=this._onFocusOut,this._element=R,this._addDummyInputs()}dispose(C,R){var O,I,N,L;const B=this._wrappers=this._wrappers.filter(j=>j.manager!==C&&!R);if(define_process_env_default$11.NODE_ENV==="development"&&(this._firstDummy&&setDummyInputDebugValue(this._firstDummy,B),this._lastDummy&&setDummyInputDebugValue(this._lastDummy,B)),B.length===0){delete((O=this._element)===null||O===void 0?void 0:O.get()).__tabsterDummy;for(const V of this._transformElements)V.removeEventListener("scroll",this._addTransformOffsets);this._transformElements.clear();const j=this._getWindow();this._addTimer&&(j.clearTimeout(this._addTimer),delete this._addTimer);const F=(I=this._firstDummy)===null||I===void 0?void 0:I.input;F&&this._tabster._dummyObserver.remove(F),(N=this._firstDummy)===null||N===void 0||N.dispose(),(L=this._lastDummy)===null||L===void 0||L.dispose()}}_onFocus(C,R,O,I){var N;const L=this._getCurrent();L&&(!R.useDefaultAction||this._callForDefaultAction)&&((N=L.manager.getHandler(C))===null||N===void 0||N(R,O,I))}_getCurrent(){return this._wrappers.sort((C,R)=>C.tabbable!==R.tabbable?C.tabbable?-1:1:C.priority-R.priority),this._wrappers[0]}_ensurePosition(){var C,R,O;const I=(C=this._element)===null||C===void 0?void 0:C.get(),N=(R=this._firstDummy)===null||R===void 0?void 0:R.input,L=(O=this._lastDummy)===null||O===void 0?void 0:O.input;if(!(!I||!N||!L))if(this._isOutside){const B=I.parentElement;if(B){const j=I.nextElementSibling;j!==L&&B.insertBefore(L,j),I.previousElementSibling!==N&&B.insertBefore(N,I)}}else{I.lastElementChild!==L&&I.appendChild(L);const B=I.firstElementChild;B&&B!==N&&I.insertBefore(N,B)}}}function getLastChild(S){let C=null;for(let R=S.lastElementChild;R;R=R.lastElementChild)C=R;return C||void 0}function getAdjacentElement(S,C){let R=S,O=null;for(;R&&!O;)O=C?R.previousElementSibling:R.nextElementSibling,R=R.parentElement;return O||void 0}function triggerEvent(S,C,R){const O=document.createEvent("HTMLEvents");return O.initEvent(C,!0,!0),O.details=R,S.dispatchEvent(O),!O.defaultPrevented}function triggerMoveFocusEvent(S){return triggerEvent(S.owner,MoveFocusEventName,S)}function augmentAttribute(S,C,R,O){const I=S.storageEntry(C,!0);let N=!1;if(!I.aug){if(O===void 0)return N;I.aug={}}if(O===void 0){if(R in I.aug){const L=I.aug[R];delete I.aug[R],L===null?C.removeAttribute(R):C.setAttribute(R,L),N=!0}}else{let L;R in I.aug||(L=C.getAttribute(R)),L!==void 0&&L!==O&&(I.aug[R]=L,O===null?C.removeAttribute(R):C.setAttribute(R,O),N=!0)}return O===void 0&&Object.keys(I.aug).length===0&&(delete I.aug,S.storageEntry(C,!1)),N}/*!
- * Copyright (c) Microsoft Corporation. All rights reserved.
- * Licensed under the MIT License.
- */function getTabsterAttribute(S,C){const R=JSON.stringify(S);return C===!0?R:{[TabsterAttributeName]:R}}function mergeTabsterProps(S,C){for(const R of Object.keys(C)){const O=C[R];O?S[R]=O:delete S[R]}}function setTabsterAttribute(S,C,R){let O;if(R){const I=S.getAttribute(TabsterAttributeName);if(I)try{O=JSON.parse(I)}catch(N){define_process_env_default$11.NODE_ENV==="development"&&console.error(`data-tabster attribute error: ${N}`,S)}}O||(O={}),mergeTabsterProps(O,C),Object.keys(O).length>0?S.setAttribute(TabsterAttributeName,getTabsterAttribute(O,!0)):S.removeAttribute(TabsterAttributeName)}/*!
- * Copyright (c) Microsoft Corporation. All rights reserved.
- * Licensed under the MIT License.
- */function _setInformativeStyle$3(S,C,R){if(define_process_env_default$11.NODE_ENV==="development"){const O=S.get();O&&(C?O.style.removeProperty("--tabster-root"):O.style.setProperty("--tabster-root",R+","))}}class RootDummyManager extends DummyInputManager{constructor(C,R,O,I){super(C,R,DummyInputManagerPriorities.Root,I,void 0,!0),this._onDummyInputFocus=N=>{var L;if(N.useDefaultAction)this._setFocused(!1);else{this._tabster.keyboardNavigation.setNavigatingWithKeyboard(!0);const B=this._element.get();if(B){this._setFocused(!0);const j=this._tabster.focusedElement.getFirstOrLastTabbable(N.isFirst,{container:B,ignoreAccessibility:!0});if(j){nativeFocus(j);return}}(L=N.input)===null||L===void 0||L.blur()}},this._setHandlers(this._onDummyInputFocus),this._tabster=C,this._setFocused=O}}class Root extends TabsterPart{constructor(C,R,O,I,N){super(C,R,I),this._isFocused=!1,this._setFocused=j=>{var F;if(this._setFocusedTimer&&(this._tabster.getWindow().clearTimeout(this._setFocusedTimer),delete this._setFocusedTimer),this._isFocused===j)return;const V=this._element.get();V&&(j?(this._isFocused=!0,(F=this._dummyManager)===null||F===void 0||F.setTabbable(!1),triggerEvent(this._tabster.root.eventTarget,"focus",{element:V})):this._setFocusedTimer=this._tabster.getWindow().setTimeout(()=>{var K;delete this._setFocusedTimer,this._isFocused=!1,(K=this._dummyManager)===null||K===void 0||K.setTabbable(!0),triggerEvent(this._tabster.root.eventTarget,"blur",{element:V})},0))},this._onFocusIn=j=>{const F=this._tabster.getParent,V=this._element.get();let K=j.target;do{if(K===V){this._setFocused(!0);return}K=K&&F(K)}while(K)},this._onFocusOut=()=>{this._setFocused(!1)},this._onDispose=O;const L=C.getWindow;this.uid=getElementUId(L,R),this._sys=N,(C.controlTab||C.rootDummyInputs)&&this.addDummyInputs();const B=L();B.document.addEventListener("focusin",this._onFocusIn),B.document.addEventListener("focusout",this._onFocusOut),this._add()}addDummyInputs(){this._dummyManager||(this._dummyManager=new RootDummyManager(this._tabster,this._element,this._setFocused,this._sys))}dispose(){var C;this._onDispose(this);const R=this._tabster.getWindow();R.document.removeEventListener("focusin",this._onFocusIn),R.document.removeEventListener("focusout",this._onFocusOut),this._setFocusedTimer&&(R.clearTimeout(this._setFocusedTimer),delete this._setFocusedTimer),(C=this._dummyManager)===null||C===void 0||C.dispose(),this._remove()}moveOutWithDefaultAction(C,R){const O=this._dummyManager;if(O)O.moveOutWithDefaultAction(C,R);else{const I=this.getElement();I&&RootDummyManager.moveWithPhantomDummy(this._tabster,I,!0,C,R)}}_add(){define_process_env_default$11.NODE_ENV==="development"&&_setInformativeStyle$3(this._element,!1,this.uid)}_remove(){define_process_env_default$11.NODE_ENV==="development"&&_setInformativeStyle$3(this._element,!0)}}class RootAPI{constructor(C,R){this._autoRootWaiting=!1,this._roots={},this._forceDummy=!1,this.rootById={},this._autoRootCreate=()=>{var O;const I=this._win().document,N=I.body;if(N){this._autoRootUnwait(I);const L=this._autoRoot;if(L)return setTabsterAttribute(N,{root:L},!0),updateTabsterByAttribute(this._tabster,N),(O=getTabsterOnElement(this._tabster,N))===null||O===void 0?void 0:O.root}else this._autoRootWaiting||(this._autoRootWaiting=!0,I.addEventListener("readystatechange",this._autoRootCreate))},this._onRootDispose=O=>{delete this._roots[O.id]},this._tabster=C,this._win=C.getWindow,this._autoRoot=R,this.eventTarget=createEventTarget(this._win),C.queueInit(()=>{this._autoRoot&&this._autoRootCreate()})}_autoRootUnwait(C){C.removeEventListener("readystatechange",this._autoRootCreate),this._autoRootWaiting=!1}dispose(){const C=this._win();this._autoRootUnwait(C.document),delete this._autoRoot,Object.keys(this._roots).forEach(R=>{this._roots[R]&&(this._roots[R].dispose(),delete this._roots[R])}),this.rootById={}}createRoot(C,R,O){const I=new Root(this._tabster,C,this._onRootDispose,R,O);return this._roots[I.id]=I,this._forceDummy&&I.addDummyInputs(),I}addDummyInputs(){this._forceDummy=!0;const C=this._roots;for(const R of Object.keys(C))C[R].addDummyInputs()}static getRootByUId(C,R){const O=C().__tabsterInstance;return O&&O.root.rootById[R]}static getTabsterContext(C,R,O){O===void 0&&(O={});var I,N,L,B;if(!R.ownerDocument)return;const{checkRtl:j,referenceElement:F}=O,V=C.getParent;C.drainInitQueue();let K,W,X,J,oe=!1,pe,me,xe,Ae,ge=F||R;const Te={};for(;ge&&(!K||j);){const ke=getTabsterOnElement(C,ge);if(j&&xe===void 0){const Je=ge.dir;Je&&(xe=Je.toLowerCase()==="rtl")}if(!ke){ge=V(ge);continue}const Be=ge.tagName;(ke.uncontrolled||Be==="IFRAME"||Be==="WEBVIEW")&&(Ae=ge),!J&&(!((I=ke.focusable)===null||I===void 0)&&I.excludeFromMover)&&!X&&(oe=!0);const Ie=ke.modalizer,je=ke.groupper,Ke=ke.mover;!W&&Ie&&(W=Ie),!X&&je&&(!W||Ie)&&(W?(!je.isActive()&&je.getProps().tabbability&&W.userId!==((N=C.modalizer)===null||N===void 0?void 0:N.activeId)&&(W=void 0,X=je),me=je):X=je),!J&&Ke&&(!W||Ie)&&(!je||ge!==R)&&(J=Ke,pe=!!X&&X!==je),ke.root&&(K=ke.root),!((L=ke.focusable)===null||L===void 0)&&L.ignoreKeydown&&Object.assign(Te,ke.focusable.ignoreKeydown),ge=V(ge)}if(!K){const ke=C.root;ke._autoRoot&&!((B=R.ownerDocument)===null||B===void 0)&&B.body&&(K=ke._autoRootCreate())}return X&&!J&&(pe=!0),define_process_env_default$11.NODE_ENV==="development"&&!K&&(W||X||J)&&console.error("Tabster Root is required for Mover, Groupper and Modalizer to work."),K?{root:K,modalizer:W,groupper:X,mover:J,groupperBeforeMover:pe,modalizerInGroupper:me,rtl:j?!!xe:void 0,uncontrolled:Ae,excludedFromMover:oe,ignoreKeydown:ke=>!!Te[ke.key]}:void 0}static getRoot(C,R){var O;const I=C.getParent;for(let N=R;N;N=I(N)){const L=(O=getTabsterOnElement(C,N))===null||O===void 0?void 0:O.root;if(L)return L}}onRoot(C,R){R?delete this.rootById[C.uid]:this.rootById[C.uid]=C}}/*!
- * Copyright (c) Microsoft Corporation. All rights reserved.
- * Licensed under the MIT License.
- */class Subscribable{constructor(){this._callbacks=[]}dispose(){this._callbacks=[],delete this._val}subscribe(C){const R=this._callbacks;R.indexOf(C)<0&&R.push(C)}subscribeFirst(C){const R=this._callbacks,O=R.indexOf(C);O>=0&&R.splice(O,1),R.unshift(C)}unsubscribe(C){const R=this._callbacks.indexOf(C);R>=0&&this._callbacks.splice(R,1)}setVal(C,R){this._val!==C&&(this._val=C,this._callCallbacks(C,R))}getVal(){return this._val}trigger(C,R){this._callCallbacks(C,R)}_callCallbacks(C,R){this._callbacks.forEach(O=>O(C,R))}}/*!
- * Copyright (c) Microsoft Corporation. All rights reserved.
- * Licensed under the MIT License.
- */class FocusableAPI{constructor(C){this._tabster=C}dispose(){}getProps(C){const R=getTabsterOnElement(this._tabster,C);return R&&R.focusable||{}}isFocusable(C,R,O,I){return matchesSelector(C,FocusableSelector)&&(R||C.tabIndex!==-1)?(O||this.isVisible(C))&&(I||this.isAccessible(C)):!1}isVisible(C){if(!C.ownerDocument||C.nodeType!==Node.ELEMENT_NODE||C.offsetParent===null&&C.ownerDocument.body!==C)return!1;const R=C.ownerDocument.defaultView;if(!R)return!1;const O=C.ownerDocument.body.getBoundingClientRect();return!(O.width===0&&O.height===0||R.getComputedStyle(C).visibility==="hidden")}isAccessible(C){var R;for(let O=C;O;O=O.parentElement){const I=getTabsterOnElement(this._tabster,O);if(this._isHidden(O)||!((R=I==null?void 0:I.focusable)===null||R===void 0?void 0:R.ignoreAriaDisabled)&&this._isDisabled(O))return!1}return!0}_isDisabled(C){return C.hasAttribute("disabled")}_isHidden(C){var R;const O=C.getAttribute("aria-hidden");return!!(O&&O.toLowerCase()==="true"&&!(!((R=this._tabster.modalizer)===null||R===void 0)&&R.isAugmented(C)))}findFirst(C,R){return this.findElement({...C},R)}findLast(C,R){return this.findElement({isBackward:!0,...C},R)}findNext(C,R){return this.findElement({...C},R)}findPrev(C,R){return this.findElement({...C,isBackward:!0},R)}findDefault(C,R){return this.findElement({...C,acceptCondition:O=>this.isFocusable(O,C.includeProgrammaticallyFocusable)&&!!this.getProps(O).isDefault},R)||null}findAll(C){return this._findElements(!0,C)||[]}findElement(C,R){const O=this._findElements(!1,C,R);return O&&O[0]}_findElements(C,R,O){var I,N,L;const{container:B,currentElement:j=null,includeProgrammaticallyFocusable:F,useActiveModalizer:V,ignoreAccessibility:K,modalizerId:W,isBackward:X,onElement:J}=R;O||(O={});const oe=[];let{acceptCondition:pe}=R;const me=!!pe;if(!B)return null;pe||(pe=Te=>this.isFocusable(Te,F,!1,K));const xe={container:B,modalizerUserId:W===void 0&&V?(I=this._tabster.modalizer)===null||I===void 0?void 0:I.activeId:W||((L=(N=RootAPI.getTabsterContext(this._tabster,B))===null||N===void 0?void 0:N.modalizer)===null||L===void 0?void 0:L.userId),from:j||B,isBackward:X,acceptCondition:pe,hasCustomCondition:me,includeProgrammaticallyFocusable:F,ignoreAccessibility:K,cachedGrouppers:{}},Ae=createElementTreeWalker(B.ownerDocument,B,Te=>this._acceptElement(Te,xe));if(!Ae)return null;const ge=Te=>{var we,ke;const Be=(we=xe.foundElement)!==null&&we!==void 0?we:xe.foundBackward;return Be&&oe.push(Be),C?Be&&(xe.found=!1,delete xe.foundElement,delete xe.foundBackward,delete xe.fromCtx,xe.from=Be,J&&!J(Be))?!1:!!(Be||Te):(Be&&O&&(O.uncontrolled=(ke=RootAPI.getTabsterContext(this._tabster,Be))===null||ke===void 0?void 0:ke.uncontrolled),!!(Te&&!Be))};if(j||(O.outOfDOMOrder=!0),j)Ae.currentNode=j;else if(X){const Te=getLastChild(B);if(!Te)return null;if(this._acceptElement(Te,xe)===NodeFilter.FILTER_ACCEPT&&!ge(!0))return xe.skippedFocusable&&(O.outOfDOMOrder=!0),oe;Ae.currentNode=Te}do X?Ae.previousNode():Ae.nextNode();while(ge());return xe.skippedFocusable&&(O.outOfDOMOrder=!0),oe.length?oe:null}_acceptElement(C,R){var O,I,N,L;if(R.found)return NodeFilter.FILTER_ACCEPT;const B=R.foundBackward;if(B&&(C===B||!B.contains(C)))return R.found=!0,R.foundElement=B,NodeFilter.FILTER_ACCEPT;const j=R.container;if(C===j)return NodeFilter.FILTER_SKIP;if(!j.contains(C)||C.__tabsterDummyContainer||!((O=R.rejectElementsFrom)===null||O===void 0)&&O.contains(C))return NodeFilter.FILTER_REJECT;const F=R.currentCtx=RootAPI.getTabsterContext(this._tabster,C);if(!F)return NodeFilter.FILTER_SKIP;if(shouldIgnoreFocus(C))return this.isFocusable(C,void 0,!0,!0)&&(R.skippedFocusable=!0),NodeFilter.FILTER_SKIP;if(!R.hasCustomCondition&&(C.tagName==="IFRAME"||C.tagName==="WEBVIEW"))return((I=F.modalizer)===null||I===void 0?void 0:I.userId)===((N=this._tabster.modalizer)===null||N===void 0?void 0:N.activeId)?(R.found=!0,R.rejectElementsFrom=R.foundElement=C,NodeFilter.FILTER_ACCEPT):NodeFilter.FILTER_REJECT;if(!R.ignoreAccessibility&&!this.isAccessible(C))return this.isFocusable(C,!1,!0,!0)&&(R.skippedFocusable=!0),NodeFilter.FILTER_REJECT;let V,K=R.fromCtx;K||(K=R.fromCtx=RootAPI.getTabsterContext(this._tabster,R.from));const W=K==null?void 0:K.mover;let X=F.groupper,J=F.mover;if(V=(L=this._tabster.modalizer)===null||L===void 0?void 0:L.acceptElement(C,R),V!==void 0&&(R.skippedFocusable=!0),V===void 0&&(X||J||W)){const oe=X==null?void 0:X.getElement(),pe=W==null?void 0:W.getElement();let me=J==null?void 0:J.getElement();me&&(pe!=null&&pe.contains(me))&&j.contains(pe)&&(!oe||!J||pe.contains(oe))&&(J=W,me=pe),oe&&(oe===j||!j.contains(oe))&&(X=void 0),me&&!j.contains(me)&&(J=void 0),X&&J&&(me&&oe&&!oe.contains(me)?J=void 0:X=void 0),X&&(V=X.acceptElement(C,R)),J&&(V=J.acceptElement(C,R))}return V===void 0&&(V=R.acceptCondition(C)?NodeFilter.FILTER_ACCEPT:NodeFilter.FILTER_SKIP,V===NodeFilter.FILTER_SKIP&&this.isFocusable(C,!1,!0,!0)&&(R.skippedFocusable=!0)),V===NodeFilter.FILTER_ACCEPT&&!R.found&&(R.isBackward?(R.foundBackward=C,V=NodeFilter.FILTER_SKIP):(R.found=!0,R.foundElement=C)),V}}/*!
- * Copyright (c) Microsoft Corporation. All rights reserved.
- * Licensed under the MIT License.
- */const Keys={Tab:9,Enter:13,Esc:27,Space:32,PageUp:33,PageDown:34,End:35,Home:36,Left:37,Up:38,Right:39,Down:40};/*!
- * Copyright (c) Microsoft Corporation. All rights reserved.
- * Licensed under the MIT License.
- */function getUncontrolledCompletelyContainer(S,C){var R;const O=S.getParent;let I=C;do{const N=(R=getTabsterOnElement(S,I))===null||R===void 0?void 0:R.uncontrolled;if(N&&S.uncontrolled.isUncontrolledCompletely(I,!!N.completely))return I;I=O(I)}while(I)}class FocusedElementState extends Subscribable{constructor(C,R){super(),this._init=()=>{const O=this._win(),I=O.document;I.addEventListener(KEYBORG_FOCUSIN,this._onFocusIn,!0),I.addEventListener("focusout",this._onFocusOut,!0),O.addEventListener("keydown",this._onKeyDown,!0);const N=I.activeElement;N&&N!==I.body&&this._setFocusedElement(N),this.subscribe(this._onChanged)},this._onFocusIn=O=>{this._setFocusedElement(O.target,O.details.relatedTarget,O.details.isFocusedProgrammatically)},this._onFocusOut=O=>{this._setFocusedElement(void 0,O.relatedTarget)},this._validateFocusedElement=O=>{},this._onKeyDown=O=>{if(O.keyCode!==Keys.Tab||O.ctrlKey)return;const I=this.getVal();if(!I||!I.ownerDocument||I.contentEditable==="true")return;const N=this._tabster,L=N.controlTab,B=RootAPI.getTabsterContext(N,I);if(!B||B.ignoreKeydown(O))return;const j=O.shiftKey,F=FocusedElementState.findNextTabbable(N,B,void 0,I,void 0,j,!0),V=B.root.getElement();if(!V)return;const K=F==null?void 0:F.element,W=getUncontrolledCompletelyContainer(N,I);if(K){const X=F.uncontrolled;if(B.uncontrolled||X!=null&&X.contains(I)){if(!F.outOfDOMOrder&&X===B.uncontrolled||W&&!W.contains(K))return;DummyInputManager.addPhantomDummyWithTarget(N,I,j,K);return}if(X||K.tagName==="IFRAME"){triggerMoveFocusEvent({by:"root",owner:V,next:K,relatedEvent:O})&&DummyInputManager.moveWithPhantomDummy(this._tabster,X??K,!1,j,O);return}(L||F!=null&&F.outOfDOMOrder)&&triggerMoveFocusEvent({by:"root",owner:V,next:K,relatedEvent:O})&&(O.preventDefault(),O.stopImmediatePropagation(),nativeFocus(K))}else!W&&triggerMoveFocusEvent({by:"root",owner:V,next:null,relatedEvent:O})&&B.root.moveOutWithDefaultAction(j,O)},this._onChanged=(O,I)=>{var N,L;if(O)triggerEvent(O,FocusInEventName,I);else{const B=(N=this._lastVal)===null||N===void 0?void 0:N.get();if(B){const j={...I},F=RootAPI.getTabsterContext(this._tabster,B),V=(L=F==null?void 0:F.modalizer)===null||L===void 0?void 0:L.userId;V&&(j.modalizerId=V),triggerEvent(B,FocusOutEventName,j)}}},this._tabster=C,this._win=R,C.queueInit(this._init)}dispose(){super.dispose();const C=this._win();C.document.removeEventListener(KEYBORG_FOCUSIN,this._onFocusIn,!0),C.document.removeEventListener("focusout",this._onFocusOut,!0),C.removeEventListener("keydown",this._onKeyDown,!0),this.unsubscribe(this._onChanged),delete FocusedElementState._lastResetElement,delete this._nextVal,delete this._lastVal}static forgetMemorized(C,R){var O,I;let N=FocusedElementState._lastResetElement,L=N&&N.get();L&&R.contains(L)&&delete FocusedElementState._lastResetElement,L=(I=(O=C._nextVal)===null||O===void 0?void 0:O.element)===null||I===void 0?void 0:I.get(),L&&R.contains(L)&&delete C._nextVal,N=C._lastVal,L=N&&N.get(),L&&R.contains(L)&&delete C._lastVal}getFocusedElement(){return this.getVal()}getLastFocusedElement(){var C;let R=(C=this._lastVal)===null||C===void 0?void 0:C.get();return(!R||R&&!documentContains(R.ownerDocument,R))&&(this._lastVal=R=void 0),R}focus(C,R,O){return this._tabster.focusable.isFocusable(C,R,!1,O)?(C.focus(),!0):!1}focusDefault(C){const R=this._tabster.focusable.findDefault({container:C});return R?(this._tabster.focusedElement.focus(R),!0):!1}getFirstOrLastTabbable(C,R){var O;const{container:I,ignoreAccessibility:N}=R;let L;if(I){const B=RootAPI.getTabsterContext(this._tabster,I);B&&(L=(O=FocusedElementState.findNextTabbable(this._tabster,B,I,void 0,void 0,!C,N))===null||O===void 0?void 0:O.element)}return L&&!(I!=null&&I.contains(L))&&(L=void 0),L||void 0}_focusFirstOrLast(C,R){const O=this.getFirstOrLastTabbable(C,R);return O?(this.focus(O,!1,!0),!0):!1}focusFirst(C){return this._focusFirstOrLast(!0,C)}focusLast(C){return this._focusFirstOrLast(!1,C)}resetFocus(C){if(!this._tabster.focusable.isVisible(C))return!1;if(this._tabster.focusable.isFocusable(C,!0,!0,!0))this.focus(C);else{const R=C.getAttribute("tabindex"),O=C.getAttribute("aria-hidden");C.tabIndex=-1,C.setAttribute("aria-hidden","true"),FocusedElementState._lastResetElement=new WeakHTMLElement(this._win,C),this.focus(C,!0,!0),this._setOrRemoveAttribute(C,"tabindex",R),this._setOrRemoveAttribute(C,"aria-hidden",O)}return!0}_setOrRemoveAttribute(C,R,O){O===null?C.removeAttribute(R):C.setAttribute(R,O)}_setFocusedElement(C,R,O){var I,N;if(this._tabster._noop)return;const L={relatedTarget:R};if(C){const j=(I=FocusedElementState._lastResetElement)===null||I===void 0?void 0:I.get();if(FocusedElementState._lastResetElement=void 0,j===C||shouldIgnoreFocus(C))return;L.isFocusedProgrammatically=O;const F=RootAPI.getTabsterContext(this._tabster,C),V=(N=F==null?void 0:F.modalizer)===null||N===void 0?void 0:N.userId;V&&(L.modalizerId=V)}const B=this._nextVal={element:C?new WeakHTMLElement(this._win,C):void 0,details:L};C&&C!==this._val&&this._validateFocusedElement(C),this._nextVal===B&&this.setVal(C,L),this._nextVal=void 0}setVal(C,R){super.setVal(C,R),C&&(this._lastVal=new WeakHTMLElement(this._win,C))}static findNextTabbable(C,R,O,I,N,L,B){const j=O||R.root.getElement();if(!j)return null;let F=null;const V=FocusedElementState._isTabbingTimer,K=C.getWindow();V&&K.clearTimeout(V),FocusedElementState.isTabbing=!0,FocusedElementState._isTabbingTimer=K.setTimeout(()=>{delete FocusedElementState._isTabbingTimer,FocusedElementState.isTabbing=!1},0);const W=R.modalizer,X=R.groupper,J=R.mover,oe=pe=>{var me;if(F=pe.findNextTabbable(I,N,L,B),I&&!(F!=null&&F.element)){const xe=pe!==W&&((me=pe.getElement())===null||me===void 0?void 0:me.parentElement);if(xe){const Ae=RootAPI.getTabsterContext(C,I,{referenceElement:xe});if(Ae){const ge=pe.getElement(),Te=L?ge:ge&&getLastChild(ge)||ge;Te&&(F=FocusedElementState.findNextTabbable(C,Ae,O,Te,xe,L,B),F&&(F.outOfDOMOrder=!0))}}}};if(X&&J)oe(R.groupperBeforeMover?X:J);else if(X)oe(X);else if(J)oe(J);else if(W)oe(W);else{const pe={container:j,currentElement:I,referenceElement:N,ignoreAccessibility:B,useActiveModalizer:!0},me={};F={element:C.focusable[L?"findPrev":"findNext"](pe,me),outOfDOMOrder:me.outOfDOMOrder,uncontrolled:me.uncontrolled}}return F}}FocusedElementState.isTabbing=!1;/*!
- * Copyright (c) Microsoft Corporation. All rights reserved.
- * Licensed under the MIT License.
- */class GroupperDummyManager extends DummyInputManager{constructor(C,R,O,I){super(O,C,DummyInputManagerPriorities.Groupper,I,!0),this._setHandlers((N,L,B)=>{var j,F;const V=C.get(),K=N.input;if(V&&K){const W=RootAPI.getTabsterContext(O,K);if(W){let X;X=(j=R.findNextTabbable(B||void 0,void 0,L,!0))===null||j===void 0?void 0:j.element,X||(X=(F=FocusedElementState.findNextTabbable(O,W,void 0,N.isOutside?K:getAdjacentElement(V,!L),void 0,L,!0))===null||F===void 0?void 0:F.element),X&&nativeFocus(X)}}})}}class Groupper extends TabsterPart{constructor(C,R,O,I,N){super(C,R,I),this._shouldTabInside=!1,this.makeTabbable(!1),this._onDispose=O,C.controlTab||(this.dummyManager=new GroupperDummyManager(this._element,this,C,N))}dispose(){var C;this._onDispose(this);const R=this._element.get();(C=this.dummyManager)===null||C===void 0||C.dispose(),delete this.dummyManager,R&&define_process_env_default$11.NODE_ENV==="development"&&_setInformativeStyle$1(this._element,!0),delete this._first}findNextTabbable(C,R,O,I){var N;const L=this.getElement();if(!L)return null;const B=((N=C==null?void 0:C.__tabsterDummyContainer)===null||N===void 0?void 0:N.get())===L;if(!this._shouldTabInside&&C&&L.contains(C)&&!B)return{element:void 0,outOfDOMOrder:!0};const j=this.getFirst(!0);if(!C||!L.contains(C)||B)return{element:j,outOfDOMOrder:!0};const F=this._tabster;let V=null,K=!1,W;if(this._shouldTabInside&&j){const X={container:L,currentElement:C,referenceElement:R,ignoreAccessibility:I,useActiveModalizer:!0},J={};V=F.focusable[O?"findPrev":"findNext"](X,J),K=!!J.outOfDOMOrder,!V&&this._props.tabbability===GroupperTabbabilities.LimitedTrapFocus&&(V=F.focusable[O?"findLast":"findFirst"]({container:L,ignoreAccessibility:I,useActiveModalizer:!0},J),K=!0),W=J.uncontrolled}return{element:V,uncontrolled:W,outOfDOMOrder:K}}makeTabbable(C){this._shouldTabInside=C||!this._props.tabbability,define_process_env_default$11.NODE_ENV==="development"&&_setInformativeStyle$1(this._element,!this._shouldTabInside)}isActive(C){var R;const O=this.getElement()||null;let I=!0;for(let L=O==null?void 0:O.parentElement;L;L=L.parentElement){const B=(R=getTabsterOnElement(this._tabster,L))===null||R===void 0?void 0:R.groupper;B&&(B._shouldTabInside||(I=!1))}let N=I?this._props.tabbability?this._shouldTabInside:!1:void 0;if(N&&C){const L=this._tabster.focusedElement.getFocusedElement();L&&(N=L!==this.getFirst(!0))}return N}getFirst(C){var R;const O=this.getElement();let I;if(O){if(C&&this._tabster.focusable.isFocusable(O))return O;I=(R=this._first)===null||R===void 0?void 0:R.get(),I||(I=this._tabster.focusable.findFirst({container:O,useActiveModalizer:!0})||void 0,I&&this.setFirst(I))}return I}setFirst(C){C?this._first=new WeakHTMLElement(this._tabster.getWindow,C):delete this._first}acceptElement(C,R){var O;const I=R.cachedGrouppers,N=(O=this.getElement())===null||O===void 0?void 0:O.parentElement,L=N&&RootAPI.getTabsterContext(this._tabster,N),B=L==null?void 0:L.groupper,j=L!=null&&L.groupperBeforeMover?B:void 0;let F;const V=X=>{let J=I[X.id],oe;return J?oe=J.isActive:(oe=this.isActive(!0),J=I[X.id]={isActive:oe}),oe};if(j&&(F=j.getElement(),!V(j)&&F&&R.container!==F&&R.container.contains(F)))return R.skippedFocusable=!0,NodeFilter.FILTER_REJECT;const K=V(this),W=this.getElement();if(W&&K!==!0){if(W===C&&B&&(F||(F=B.getElement()),F&&!V(B)&&R.container.contains(F)&&F!==R.container)||W!==C&&W.contains(C))return R.skippedFocusable=!0,NodeFilter.FILTER_REJECT;const X=I[this.id];let J;if("first"in X?J=X.first:J=X.first=this.getFirst(!0),J&&R.acceptCondition(J))return R.rejectElementsFrom=W,R.skippedFocusable=!0,J!==R.from?(R.found=!0,R.foundElement=J,NodeFilter.FILTER_ACCEPT):NodeFilter.FILTER_REJECT}}}class GroupperAPI{constructor(C,R){this._current={},this._grouppers={},this._init=()=>{const O=this._win();this._tabster.focusedElement.subscribeFirst(this._onFocus),O.document.addEventListener("mousedown",this._onMouseDown,!0),O.addEventListener("keydown",this._onKeyDown,!0)},this._onGroupperDispose=O=>{delete this._grouppers[O.id]},this._onFocus=O=>{O&&this._updateCurrent(O,!0,!0)},this._onMouseDown=O=>{O.target&&this._updateCurrent(O.target,!0)},this._onKeyDown=O=>{if(O.keyCode!==Keys.Enter&&O.keyCode!==Keys.Esc||O.ctrlKey||O.altKey||O.shiftKey||O.metaKey)return;const I=this._tabster.focusedElement.getFocusedElement();I&&this.handleKeyPress(I,O)},this._tabster=C,this._win=R,C.queueInit(this._init)}dispose(){const C=this._win();this._handleKeyPressTimer&&(C.clearTimeout(this._handleKeyPressTimer),delete this._handleKeyPressTimer),this._current={},this._updateTimer&&(C.clearTimeout(this._updateTimer),delete this._updateTimer),this._tabster.focusedElement.unsubscribe(this._onFocus),C.document.removeEventListener("mousedown",this._onMouseDown,!0),C.removeEventListener("keydown",this._onKeyDown,!0),Object.keys(this._grouppers).forEach(R=>{this._grouppers[R]&&(this._grouppers[R].dispose(),delete this._grouppers[R])})}createGroupper(C,R,O){const I=new Groupper(this._tabster,C,this._onGroupperDispose,R,O);this._grouppers[I.id]=I;const N=this._tabster.focusedElement.getFocusedElement();return N&&C.contains(N)&&!this._updateTimer&&(this._updateTimer=this._win().setTimeout(()=>{delete this._updateTimer,N===this._tabster.focusedElement.getFocusedElement()&&this._updateCurrent(N,!0,!0)},0)),I}forgetCurrentGrouppers(){this._current={}}_updateCurrent(C,R,O){var I;this._updateTimer&&(this._win().clearTimeout(this._updateTimer),delete this._updateTimer);const N={};let L=!0;for(let B=C;B;B=B.parentElement){const j=(I=getTabsterOnElement(this._tabster,B))===null||I===void 0?void 0:I.groupper;if(j){if(N[j.id]=!0,L&&O&&B!==C&&(L=!1),R||!L){this._current[j.id]=j;const F=j.isActive()||C!==B&&(!j.getProps().delegated||j.getFirst(!1)!==C);j.makeTabbable(F)}L=!1}}for(const B of Object.keys(this._current)){const j=this._current[B];j.id in N||(j.makeTabbable(!1),j.setFirst(void 0),delete this._current[B])}}handleKeyPress(C,R,O){const I=this._tabster,N=RootAPI.getTabsterContext(I,C),L=N==null?void 0:N.modalizerInGroupper;let B=(N==null?void 0:N.groupper)||L;if(N&&B){const j=this._win();if(this._handleKeyPressTimer&&(j.clearTimeout(this._handleKeyPressTimer),delete this._handleKeyPressTimer),N.ignoreKeydown(R))return;let F;const V=B.getElement();if(R.keyCode===Keys.Enter)V&&(C===V||B.getProps().delegated&&C===B.getFirst(!1))&&(F=I.focusable.findNext({container:V,currentElement:C,useActiveModalizer:!0})),F&&V&&triggerMoveFocusEvent({by:"groupper",owner:V,next:F,relatedEvent:R})&&(R.preventDefault(),R.stopImmediatePropagation(),F.focus());else if(R.keyCode===Keys.Esc){const K=I.focusedElement.getFocusedElement();this._handleKeyPressTimer=j.setTimeout(()=>{var W;if(delete this._handleKeyPressTimer,K===I.focusedElement.getFocusedElement()&&B&&V&&V.contains(C)){if(C!==V||O)F=B.getFirst(!0);else{const X=V.parentElement,J=X?RootAPI.getTabsterContext(I,X):void 0;B=J==null?void 0:J.groupper,F=B==null?void 0:B.getFirst(!0)}F&&triggerMoveFocusEvent({by:"groupper",owner:V,next:F,relatedEvent:R})&&(B&&(B.makeTabbable(!1),L&&((W=I.modalizer)===null||W===void 0||W.setActive(void 0))),F.focus())}},0)}}}}function _setInformativeStyle$1(S,C){if(define_process_env_default$11.NODE_ENV==="development"){const R=S.get();R&&(C?R.style.removeProperty("--tabster-groupper"):R.style.setProperty("--tabster-groupper","unlimited"))}}/*!
- * Copyright (c) Microsoft Corporation. All rights reserved.
- * Licensed under the MIT License.
- */class KeyboardNavigationState extends Subscribable{constructor(C){super(),this._onChange=R=>{this.setVal(R,void 0)},this._keyborg=createKeyborg(C()),this._keyborg.subscribe(this._onChange)}dispose(){super.dispose(),this._keyborg&&(this._keyborg.unsubscribe(this._onChange),disposeKeyborg(this._keyborg),delete this._keyborg)}setNavigatingWithKeyboard(C){var R;(R=this._keyborg)===null||R===void 0||R.setVal(C)}isNavigatingWithKeyboard(){var C;return!!(!((C=this._keyborg)===null||C===void 0)&&C.isNavigatingWithKeyboard())}}/*!
- * Copyright (c) Microsoft Corporation. All rights reserved.
- * Licensed under the MIT License.
- */let _wasFocusedCounter=0;const _ariaHidden="aria-hidden";function _setInformativeStyle(S,C,R,O,I,N){if(define_process_env_default$11.NODE_ENV==="development"){const L=S.get();L&&(C?L.style.removeProperty("--tabster-modalizer"):L.style.setProperty("--tabster-modalizer",R+","+O+","+(I?"active":"inactive")+",,"+(N?`focused(${N})`:"not-focused")))}}class ModalizerDummyManager extends DummyInputManager{constructor(C,R,O){super(R,C,DummyInputManagerPriorities.Modalizer,O),this._setHandlers((I,N)=>{var L,B,j;const F=C.get(),V=F&&((L=RootAPI.getRoot(R,F))===null||L===void 0?void 0:L.getElement()),K=I.input;let W;if(V&&K){const X=(B=K.__tabsterDummyContainer)===null||B===void 0?void 0:B.get(),J=RootAPI.getTabsterContext(R,X||K);J&&(W=(j=FocusedElementState.findNextTabbable(R,J,V,K,void 0,N,!0))===null||j===void 0?void 0:j.element),W&&nativeFocus(W)}})}}class Modalizer extends TabsterPart{constructor(C,R,O,I,N,L){super(C,R,I),this._wasFocused=0,this.userId=I.id,this._onDispose=O,this._activeElements=L,C.controlTab||(this.dummyManager=new ModalizerDummyManager(this._element,C,N)),define_process_env_default$11.NODE_ENV==="development"&&_setInformativeStyle(this._element,!1,this.id,this.userId,this._isActive,this._wasFocused)}makeActive(C){if(this._isActive!==C){this._isActive=C;const R=this.getElement();if(R){const O=this._activeElements,I=O.map(N=>N.get()).indexOf(R);C?I<0&&O.push(new WeakHTMLElement(this._tabster.getWindow,R)):I>=0&&O.splice(I,1)}define_process_env_default$11.NODE_ENV==="development"&&_setInformativeStyle(this._element,!1,this.id,this.userId,this._isActive,this._wasFocused),this.triggerFocusEvent(C?ModalizerActiveEventName:ModalizerInactiveEventName)}}focused(C){return C||(this._wasFocused=++_wasFocusedCounter),this._wasFocused}setProps(C){C.id&&(this.userId=C.id),this._props={...C}}dispose(){var C;this.makeActive(!1),this._onDispose(this),(C=this.dummyManager)===null||C===void 0||C.dispose(),delete this.dummyManager,this._activeElements=[],this._remove()}isActive(){return!!this._isActive}contains(C){var R;return!!(!((R=this.getElement())===null||R===void 0)&&R.contains(C))}findNextTabbable(C,R,O,I){var N,L;if(!this.getElement())return null;const j=this._tabster;let F=null,V=!1,K;const W=C&&((N=RootAPI.getRoot(j,C))===null||N===void 0?void 0:N.getElement());if(W){const X={container:W,currentElement:C,referenceElement:R,ignoreAccessibility:I,useActiveModalizer:!0},J={};F=j.focusable[O?"findPrev":"findNext"](X,J),!F&&this._props.isTrapped&&(!((L=j.modalizer)===null||L===void 0)&&L.activeId)?(F=j.focusable[O?"findLast":"findFirst"]({container:W,ignoreAccessibility:I,useActiveModalizer:!0},J),V=!0):V=!!J.outOfDOMOrder,K=J.uncontrolled}return{element:F,uncontrolled:K,outOfDOMOrder:V}}triggerFocusEvent(C,R){const O=this.getElement();let I=!1;if(O){const N=R?this._activeElements.map(L=>L.get()):[O];for(const L of N)L&&!triggerEvent(L,C,{id:this.userId,element:O,eventName:C})&&(I=!0)}return I}_remove(){define_process_env_default$11.NODE_ENV==="development"&&_setInformativeStyle(this._element,!0)}}class ModalizerAPI{constructor(C,R,O){this._onModalizerDispose=N=>{const L=N.id,B=N.userId,j=this._parts[B];delete this._modalizers[L],j&&(delete j[L],Object.keys(j).length===0&&(delete this._parts[B],this.activeId===B&&this.setActive(void 0)))},this._onKeyDown=N=>{var L;if(N.keyCode!==Keys.Esc)return;const B=this._tabster,j=B.focusedElement.getFocusedElement();if(j){const F=RootAPI.getTabsterContext(B,j),V=F==null?void 0:F.modalizer;if(F&&!F.groupper&&(V!=null&&V.isActive())&&!F.ignoreKeydown(N)){const K=V.userId;if(K){const W=this._parts[K];if(W){const X=Object.keys(W).map(J=>{var oe;const pe=W[J],me=pe.getElement();let xe;return me&&(xe=(oe=getTabsterOnElement(this._tabster,me))===null||oe===void 0?void 0:oe.groupper),pe&&me&&xe?{el:me,focusedSince:pe.focused(!0)}:{focusedSince:0}}).filter(J=>J.focusedSince>0).sort((J,oe)=>J.focusedSince>oe.focusedSince?-1:J.focusedSince<oe.focusedSince?1:0);if(X.length){const J=X[0].el;J&&((L=B.groupper)===null||L===void 0||L.handleKeyPress(J,N,!0))}}}}}},this._onFocus=(N,L)=>{var B,j;const F=N&&RootAPI.getTabsterContext(this._tabster,N);if(!F||!N)return;const V=this._augMap;for(let W=N;W;W=W.parentElement)V.has(W)&&(V.delete(W),augmentAttribute(this._tabster,W,_ariaHidden));const K=F.modalizer;if((j=K||((B=getTabsterOnElement(this._tabster,N))===null||B===void 0?void 0:B.modalizer))===null||j===void 0||j.focused(),(K==null?void 0:K.userId)===this.activeId){this.currentIsOthersAccessible=K==null?void 0:K.getProps().isOthersAccessible;return}if(L.isFocusedProgrammatically||this.currentIsOthersAccessible||K!=null&&K.getProps().isAlwaysAccessible)this.setActive(K);else{const W=this._win();W.clearTimeout(this._restoreModalizerFocusTimer),this._restoreModalizerFocusTimer=W.setTimeout(()=>this._restoreModalizerFocus(N),100)}},this._tabster=C,this._win=C.getWindow,this._modalizers={},this._parts={},this._augMap=new WeakMap,this._aug=[],this._alwaysAccessibleSelector=R,this._accessibleCheck=O,this.activeElements=[],C.controlTab||C.root.addDummyInputs(),this._win().addEventListener("keydown",this._onKeyDown,!0),C.queueInit(()=>{this._tabster.focusedElement.subscribe(this._onFocus)})}dispose(){const C=this._win();C.removeEventListener("keydown",this._onKeyDown,!0),Object.keys(this._modalizers).forEach(R=>{this._modalizers[R]&&(this._modalizers[R].dispose(),delete this._modalizers[R])}),C.clearTimeout(this._restoreModalizerFocusTimer),C.clearTimeout(this._hiddenUpdateTimer),this._parts={},delete this.activeId,this.activeElements=[],this._augMap=new WeakMap,this._aug=[],this._tabster.focusedElement.unsubscribe(this._onFocus)}createModalizer(C,R,O){var I;const N=new Modalizer(this._tabster,C,this._onModalizerDispose,R,O,this.activeElements),L=N.id,B=R.id;this._modalizers[L]=N;let j=this._parts[B];return j||(j=this._parts[B]={}),j[L]=N,C.contains((I=this._tabster.focusedElement.getFocusedElement())!==null&&I!==void 0?I:null)&&(B!==this.activeId?this.setActive(N):N.makeActive(!0)),N}isAugmented(C){return this._augMap.has(C)}hiddenUpdate(){this._hiddenUpdateTimer||(this._hiddenUpdateTimer=this._win().setTimeout(()=>{delete this._hiddenUpdateTimer,this._hiddenUpdate()},250))}setActive(C){const R=C==null?void 0:C.userId,O=this.activeId;if(O!==R){if(this.activeId=R,O){const I=this._parts[O];if(I)for(const N of Object.keys(I))I[N].makeActive(!1)}if(R){const I=this._parts[R];if(I)for(const N of Object.keys(I))I[N].makeActive(!0)}this.currentIsOthersAccessible=C==null?void 0:C.getProps().isOthersAccessible,this.hiddenUpdate()}}focus(C,R,O){const I=RootAPI.getTabsterContext(this._tabster,C),N=I==null?void 0:I.modalizer;if(N){this.setActive(N);const L=N.getProps(),B=N.getElement();if(B){if(R===void 0&&(R=L.isNoFocusFirst),!R&&this._tabster.keyboardNavigation.isNavigatingWithKeyboard()&&this._tabster.focusedElement.focusFirst({container:B})||(O===void 0&&(O=L.isNoFocusDefault),!O&&this._tabster.focusedElement.focusDefault(B)))return!0;this._tabster.focusedElement.resetFocus(B)}}else define_process_env_default$11.NODE_ENV==="development"&&console.error("Element is not in Modalizer.",C);return!1}acceptElement(C,R){var O;const I=R.modalizerUserId,N=(O=R.currentCtx)===null||O===void 0?void 0:O.modalizer;if(I)for(const B of this.activeElements){const j=B.get();if(j&&(C.contains(j)||j===C))return NodeFilter.FILTER_SKIP}const L=I===(N==null?void 0:N.userId)||!I&&(N!=null&&N.getProps().isAlwaysAccessible)?void 0:NodeFilter.FILTER_SKIP;return L!==void 0&&(R.skippedFocusable=!0),L}_hiddenUpdate(){var C;const R=this._tabster,O=R.getWindow().document.body,I=this.activeId,N=this._parts,L=[],B=[],j=this._alwaysAccessibleSelector,F=j?Array.from(O.querySelectorAll(j)):[],V=[];for(const me of Object.keys(N)){const xe=N[me];for(const Ae of Object.keys(xe)){const ge=xe[Ae],Te=ge.getElement(),ke=ge.getProps().isAlwaysAccessible;Te&&(me===I?(V.push(Te),this.currentIsOthersAccessible||L.push(Te)):ke?F.push(Te):B.push(Te))}}const K=this._augMap,W=L.length>0?[...L,...F]:void 0,X=[],J=new WeakMap,oe=(me,xe)=>{var Ae;const ge=me.tagName;if(ge==="SCRIPT"||ge==="STYLE")return;let Te=!1;K.has(me)?xe?Te=!0:(K.delete(me),augmentAttribute(R,me,_ariaHidden)):xe&&!(!((Ae=this._accessibleCheck)===null||Ae===void 0)&&Ae.call(this,me,V))&&augmentAttribute(R,me,_ariaHidden,"true")&&(K.set(me,!0),Te=!0),Te&&(X.push(new WeakHTMLElement(R.getWindow,me)),J.set(me,!0))},pe=me=>{for(let xe=me.firstElementChild;xe;xe=xe.nextElementSibling){let Ae=!1,ge=!1;if(W){for(const Te of W){if(xe===Te){Ae=!0;break}if(xe.contains(Te)){ge=!0;break}}ge?pe(xe):Ae||oe(xe,!0)}else oe(xe,!1)}};W||F.forEach(me=>oe(me,!1)),B.forEach(me=>oe(me,!0)),O&&pe(O),(C=this._aug)===null||C===void 0||C.map(me=>me.get()).forEach(me=>{me&&!J.get(me)&&oe(me,!1)}),this._aug=X,this._augMap=J}_restoreModalizerFocus(C){const R=C==null?void 0:C.ownerDocument;if(!C||!R)return;const O=RootAPI.getTabsterContext(this._tabster,C),I=O==null?void 0:O.modalizer,N=this.activeId;if(!I&&!N||I&&N===I.userId)return;const L=O==null?void 0:O.root.getElement();if(L){let B=this._tabster.focusable.findFirst({container:L,useActiveModalizer:!0});if(B){if(C.compareDocumentPosition(B)&document.DOCUMENT_POSITION_PRECEDING&&(B=this._tabster.focusable.findLast({container:L,useActiveModalizer:!0}),!B))throw new Error("Something went wrong.");this._tabster.focusedElement.focus(B);return}}C.blur()}}/*!
- * Copyright (c) Microsoft Corporation. All rights reserved.
- * Licensed under the MIT License.
- */const _inputSelector=["input","textarea","*[contenteditable]"].join(", ");class MoverDummyManager extends DummyInputManager{constructor(C,R,O,I){super(R,C,DummyInputManagerPriorities.Mover,I),this._onFocusDummyInput=N=>{var L,B;const j=this._element.get(),F=N.input;if(j&&F){const V=RootAPI.getTabsterContext(this._tabster,j);let K;V&&(K=(L=FocusedElementState.findNextTabbable(this._tabster,V,void 0,F,void 0,!N.isFirst,!0))===null||L===void 0?void 0:L.element);const W=(B=this._getMemorized())===null||B===void 0?void 0:B.get();W&&(K=W),K&&nativeFocus(K)}},this._tabster=R,this._getMemorized=O,this._setHandlers(this._onFocusDummyInput)}}const _moverUpdateAdd=1,_moverUpdateAttr=2,_moverUpdateRemove=3;class Mover extends TabsterPart{constructor(C,R,O,I,N){var L;super(C,R,I),this._visible={},this._onIntersection=j=>{for(const F of j){const V=F.target,K=getElementUId(this._win,V);let W,X=this._fullyVisible;if(F.intersectionRatio>=.25?(W=F.intersectionRatio>=.75?Visibilities.Visible:Visibilities.PartiallyVisible,W===Visibilities.Visible&&(X=K)):W=Visibilities.Invisible,this._visible[K]!==W){W===void 0?(delete this._visible[K],X===K&&delete this._fullyVisible):(this._visible[K]=W,this._fullyVisible=X);const J=this.getState(V);J&&triggerEvent(V,MoverEventName,J)}}},this._win=C.getWindow,this.visibilityTolerance=(L=I.visibilityTolerance)!==null&&L!==void 0?L:.8,(this._props.trackState||this._props.visibilityAware)&&(this._intersectionObserver=new IntersectionObserver(this._onIntersection,{threshold:[0,.25,.5,.75,1]}),this._observeState()),this._onDispose=O;const B=()=>I.memorizeCurrent?this._current:void 0;C.controlTab||(this.dummyManager=new MoverDummyManager(this._element,C,B,N))}dispose(){var C;this._onDispose(this),this._intersectionObserver&&(this._intersectionObserver.disconnect(),delete this._intersectionObserver),delete this._current,delete this._fullyVisible,delete this._allElements,delete this._updateQueue,this._unobserve&&(this._unobserve(),delete this._unobserve);const R=this._win();this._setCurrentTimer&&(R.clearTimeout(this._setCurrentTimer),delete this._setCurrentTimer),this._updateTimer&&(R.clearTimeout(this._updateTimer),delete this._updateTimer),(C=this.dummyManager)===null||C===void 0||C.dispose(),delete this.dummyManager}setCurrent(C){C?this._current=new WeakHTMLElement(this._win,C):this._current=void 0,(this._props.trackState||this._props.visibilityAware)&&!this._setCurrentTimer&&(this._setCurrentTimer=this._win().setTimeout(()=>{var R;delete this._setCurrentTimer;const O=[];this._current!==this._prevCurrent&&(O.push(this._current),O.push(this._prevCurrent),this._prevCurrent=this._current);for(const I of O){const N=I==null?void 0:I.get();if(N&&((R=this._allElements)===null||R===void 0?void 0:R.get(N))===this){const L=this._props;if(N&&(L.visibilityAware!==void 0||L.trackState)){const B=this.getState(N);B&&triggerEvent(N,MoverEventName,B)}}}}))}getCurrent(){var C;return((C=this._current)===null||C===void 0?void 0:C.get())||null}findNextTabbable(C,R,O,I){var N;const L=this.getElement(),B=L&&((N=C==null?void 0:C.__tabsterDummyContainer)===null||N===void 0?void 0:N.get())===L;if(!L)return null;let j=null,F=!1,V;if(this._props.tabbable||B||C&&!L.contains(C)){const K={currentElement:C,referenceElement:R,container:L,ignoreAccessibility:I,useActiveModalizer:!0},W={};j=this._tabster.focusable[O?"findPrev":"findNext"](K,W),F=!!W.outOfDOMOrder,V=W.uncontrolled}return{element:j,uncontrolled:V,outOfDOMOrder:F}}acceptElement(C,R){var O,I,N;if(!FocusedElementState.isTabbing)return!((O=R.currentCtx)===null||O===void 0)&&O.excludedFromMover?NodeFilter.FILTER_REJECT:void 0;const{memorizeCurrent:L,visibilityAware:B,hasDefault:j=!0}=this._props,F=this.getElement();if(F&&(L||B||j)&&(!F.contains(R.from)||((I=R.from.__tabsterDummyContainer)===null||I===void 0?void 0:I.get())===F)){let V;if(L){const K=(N=this._current)===null||N===void 0?void 0:N.get();K&&R.acceptCondition(K)&&(V=K)}if(!V&&j&&(V=this._tabster.focusable.findDefault({container:F,useActiveModalizer:!0})),!V&&B&&(V=this._tabster.focusable.findElement({container:F,useActiveModalizer:!0,isBackward:R.isBackward,acceptCondition:K=>{var W;const X=getElementUId(this._win,K),J=this._visible[X];return F!==K&&!!(!((W=this._allElements)===null||W===void 0)&&W.get(K))&&R.acceptCondition(K)&&(J===Visibilities.Visible||J===Visibilities.PartiallyVisible&&(B===Visibilities.PartiallyVisible||!this._fullyVisible))}})),V)return R.found=!0,R.foundElement=V,R.rejectElementsFrom=F,R.skippedFocusable=!0,NodeFilter.FILTER_ACCEPT}}_observeState(){const C=this.getElement();if(this._unobserve||!C||typeof MutationObserver>"u")return;const R=this._win(),O=this._allElements=new WeakMap,I=this._tabster.focusable;let N=this._updateQueue=[];const L=new MutationObserver(X=>{for(const J of X){const oe=J.target,pe=J.removedNodes,me=J.addedNodes;if(J.type==="attributes")J.attributeName==="tabindex"&&N.push({element:oe,type:_moverUpdateAttr});else{for(let xe=0;xe<pe.length;xe++)N.push({element:pe[xe],type:_moverUpdateRemove});for(let xe=0;xe<me.length;xe++)N.push({element:me[xe],type:_moverUpdateAdd})}}K()}),B=(X,J)=>{var oe,pe;const me=O.get(X);me&&J&&((oe=this._intersectionObserver)===null||oe===void 0||oe.unobserve(X),O.delete(X)),!me&&!J&&(O.set(X,this),(pe=this._intersectionObserver)===null||pe===void 0||pe.observe(X))},j=X=>{const J=I.isFocusable(X);O.get(X)?J||B(X,!0):J&&B(X)},F=X=>{const{mover:J}=W(X);if(J&&J!==this)if(J.getElement()===X&&I.isFocusable(X))B(X);else return;const oe=createElementTreeWalker(R.document,X,pe=>{const{mover:me,groupper:xe}=W(pe);if(me&&me!==this)return NodeFilter.FILTER_REJECT;const Ae=xe==null?void 0:xe.getFirst(!0);return xe&&xe.getElement()!==pe&&Ae&&Ae!==pe?NodeFilter.FILTER_REJECT:(I.isFocusable(pe)&&B(pe),NodeFilter.FILTER_SKIP)});if(oe)for(oe.currentNode=X;oe.nextNode(););},V=X=>{O.get(X)&&B(X,!0);for(let oe=X.firstElementChild;oe;oe=oe.nextElementSibling)V(oe)},K=()=>{!this._updateTimer&&N.length&&(this._updateTimer=R.setTimeout(()=>{delete this._updateTimer;for(const{element:X,type:J}of N)switch(J){case _moverUpdateAttr:j(X);break;case _moverUpdateAdd:F(X);break;case _moverUpdateRemove:V(X);break}N=this._updateQueue=[]},0))},W=X=>{const J={};for(let oe=X;oe;oe=oe.parentElement){const pe=getTabsterOnElement(this._tabster,oe);if(pe&&(pe.groupper&&!J.groupper&&(J.groupper=pe.groupper),pe.mover)){J.mover=pe.mover;break}}return J};N.push({element:C,type:_moverUpdateAdd}),K(),L.observe(C,{childList:!0,subtree:!0,attributes:!0,attributeFilter:["tabindex"]}),this._unobserve=()=>{L.disconnect()}}getState(C){const R=getElementUId(this._win,C);if(R in this._visible){const O=this._visible[R]||Visibilities.Invisible;return{isCurrent:this._current?this._current.get()===C:void 0,visibility:O}}}}function getDistance(S,C,R,O,I,N,L,B){const j=R<I?I-R:L<S?S-L:0,F=O<N?N-O:B<C?C-B:0;return j===0?F:F===0?j:Math.sqrt(j*j+F*F)}class MoverAPI{constructor(C,R){this._init=()=>{this._win().addEventListener("keydown",this._onKeyDown,!0),this._tabster.focusedElement.subscribe(this._onFocus)},this._onMoverDispose=O=>{delete this._movers[O.id]},this._onFocus=O=>{var I;let N=O,L=O;for(let B=O==null?void 0:O.parentElement;B;B=B.parentElement){const j=(I=getTabsterOnElement(this._tabster,B))===null||I===void 0?void 0:I.mover;j&&(j.setCurrent(L),N=void 0),!N&&this._tabster.focusable.isFocusable(B)&&(N=L=B)}},this._onKeyDown=async O=>{var I,N,L,B;this._ignoredInputTimer&&(this._win().clearTimeout(this._ignoredInputTimer),delete this._ignoredInputTimer),(I=this._ignoredInputResolve)===null||I===void 0||I.call(this,!1);let j=O.keyCode;if(O.ctrlKey||O.altKey||O.shiftKey||O.metaKey)return;switch(j){case Keys.Down:case Keys.Right:case Keys.Up:case Keys.Left:case Keys.PageDown:case Keys.PageUp:case Keys.Home:case Keys.End:break;default:return}const F=this._tabster,V=F.focusedElement.getFocusedElement();if(!V||await this._isIgnoredInput(V,j))return;const K=RootAPI.getTabsterContext(F,V,{checkRtl:!0});if(!K||!K.mover||K.excludedFromMover||K.ignoreKeydown(O))return;const W=K.mover,X=W.getElement();if(K.groupperBeforeMover){const Je=K.groupper;if(Je&&!Je.isActive(!0)){for(let Xe=(N=Je.getElement())===null||N===void 0?void 0:N.parentElement;Xe&&Xe!==X;Xe=Xe.parentElement)if(!((B=(L=getTabsterOnElement(F,Xe))===null||L===void 0?void 0:L.groupper)===null||B===void 0)&&B.isActive(!0))return}else return}if(!X)return;const J=F.focusable,oe=W.getProps(),pe=oe.direction||MoverDirections.Both,me=pe===MoverDirections.Both,xe=me||pe===MoverDirections.Vertical,Ae=me||pe===MoverDirections.Horizontal,ge=pe===MoverDirections.GridLinear,Te=ge||pe===MoverDirections.Grid,we=oe.cyclic;let ke,Be,Ie,je=0,Ke=0;if(Te&&(Ie=V.getBoundingClientRect(),je=Math.ceil(Ie.left),Ke=Math.floor(Ie.right)),K.rtl&&(j===Keys.Right?j=Keys.Left:j===Keys.Left&&(j=Keys.Right)),j===Keys.Down&&xe||j===Keys.Right&&(Ae||Te))if(ke=J.findNext({currentElement:V,container:X,useActiveModalizer:!0}),ke&&Te){const Je=Math.ceil(ke.getBoundingClientRect().left);!ge&&Ke>Je&&(ke=void 0)}else!ke&&we&&(ke=J.findFirst({container:X,useActiveModalizer:!0}));else if(j===Keys.Up&&xe||j===Keys.Left&&(Ae||Te))if(ke=J.findPrev({currentElement:V,container:X,useActiveModalizer:!0}),ke&&Te){const Je=Math.floor(ke.getBoundingClientRect().right);!ge&&Je>je&&(ke=void 0)}else!ke&&we&&(ke=J.findLast({container:X,useActiveModalizer:!0}));else if(j===Keys.Home)Te?J.findElement({container:X,currentElement:V,useActiveModalizer:!0,isBackward:!0,acceptCondition:Je=>{var Xe;if(!J.isFocusable(Je))return!1;const ot=Math.ceil((Xe=Je.getBoundingClientRect().left)!==null&&Xe!==void 0?Xe:0);return Je!==V&&je<=ot?!0:(ke=Je,!1)}}):ke=J.findFirst({container:X,useActiveModalizer:!0});else if(j===Keys.End)Te?J.findElement({container:X,currentElement:V,useActiveModalizer:!0,acceptCondition:Je=>{var Xe;if(!J.isFocusable(Je))return!1;const ot=Math.ceil((Xe=Je.getBoundingClientRect().left)!==null&&Xe!==void 0?Xe:0);return Je!==V&&je>=ot?!0:(ke=Je,!1)}}):ke=J.findLast({container:X,useActiveModalizer:!0});else if(j===Keys.PageUp){if(J.findElement({currentElement:V,container:X,useActiveModalizer:!0,isBackward:!0,acceptCondition:Je=>J.isFocusable(Je)?isElementVerticallyVisibleInContainer(this._win,Je,W.visibilityTolerance)?(ke=Je,!1):!0:!1}),Te&&ke){const Je=Math.ceil(ke.getBoundingClientRect().left);J.findElement({currentElement:ke,container:X,useActiveModalizer:!0,acceptCondition:Xe=>{if(!J.isFocusable(Xe))return!1;const ot=Math.ceil(Xe.getBoundingClientRect().left);return je<ot||Je>=ot?!0:(ke=Xe,!1)}})}Be=!1}else if(j===Keys.PageDown){if(J.findElement({currentElement:V,container:X,useActiveModalizer:!0,acceptCondition:Je=>J.isFocusable(Je)?isElementVerticallyVisibleInContainer(this._win,Je,W.visibilityTolerance)?(ke=Je,!1):!0:!1}),Te&&ke){const Je=Math.ceil(ke.getBoundingClientRect().left);J.findElement({currentElement:ke,container:X,useActiveModalizer:!0,isBackward:!0,acceptCondition:Xe=>{if(!J.isFocusable(Xe))return!1;const ot=Math.ceil(Xe.getBoundingClientRect().left);return je>ot||Je<=ot?!0:(ke=Xe,!1)}})}Be=!0}else if(Te){const Je=j===Keys.Up,Xe=je,ot=Math.ceil(Ie.top),tt=Ke,Ue=Math.floor(Ie.bottom);let et,dt,gt=0;J.findAll({container:X,currentElement:V,isBackward:Je,onElement:Qe=>{const lt=Qe.getBoundingClientRect(),ht=Math.ceil(lt.left),Ct=Math.ceil(lt.top),$t=Math.floor(lt.right),Lt=Math.floor(lt.bottom);if(Je&&ot<Lt||!Je&&Ue>Ct)return!0;const Gt=Math.ceil(Math.min(tt,$t))-Math.floor(Math.max(Xe,ht)),Pt=Math.ceil(Math.min(tt-Xe,$t-ht));if(Gt>0&&Pt>=Gt){const Vt=Gt/Pt;Vt>gt&&(et=Qe,gt=Vt)}else if(gt===0){const Vt=getDistance(Xe,ot,tt,Ue,ht,Ct,$t,Lt);(dt===void 0||Vt<dt)&&(dt=Vt,et=Qe)}else if(gt>0)return!1;return!0}}),ke=et}ke&&triggerMoveFocusEvent({by:"mover",owner:X,next:ke,relatedEvent:O})&&(Be!==void 0&&scrollIntoView$2(this._win,ke,Be),O.preventDefault(),O.stopImmediatePropagation(),nativeFocus(ke))},this._tabster=C,this._win=R,this._movers={},C.queueInit(this._init)}dispose(){var C;const R=this._win();this._tabster.focusedElement.unsubscribe(this._onFocus),(C=this._ignoredInputResolve)===null||C===void 0||C.call(this,!1),this._ignoredInputTimer&&(R.clearTimeout(this._ignoredInputTimer),delete this._ignoredInputTimer),R.removeEventListener("keydown",this._onKeyDown,!0),Object.keys(this._movers).forEach(O=>{this._movers[O]&&(this._movers[O].dispose(),delete this._movers[O])})}createMover(C,R,O){const I=new Mover(this._tabster,C,this._onMoverDispose,R,O);return this._movers[I.id]=I,I}async _isIgnoredInput(C,R){var O;if(C.getAttribute("aria-expanded")==="true"&&C.hasAttribute("aria-activedescendant"))return!0;if(matchesSelector(C,_inputSelector)){let I=0,N=0,L=0,B;if(C.tagName==="INPUT"||C.tagName==="TEXTAREA"){const j=C.type;if(L=(C.value||"").length,j==="email"||j==="number"){if(L){const V=(O=C.ownerDocument.defaultView)===null||O===void 0?void 0:O.getSelection();if(V){const K=V.toString().length,W=R===Keys.Left||R===Keys.Up;if(V.modify("extend",W?"backward":"forward","character"),K!==V.toString().length)return V.modify("extend",W?"forward":"backward","character"),!0;L=0}}}else{const V=C.selectionStart;if(V===null)return j==="hidden";I=V||0,N=C.selectionEnd||0}}else C.contentEditable==="true"&&(B=new(getPromise(this._win))(j=>{this._ignoredInputResolve=J=>{delete this._ignoredInputResolve,j(J)};const F=this._win();this._ignoredInputTimer&&F.clearTimeout(this._ignoredInputTimer);const{anchorNode:V,focusNode:K,anchorOffset:W,focusOffset:X}=F.getSelection()||{};this._ignoredInputTimer=F.setTimeout(()=>{var J,oe,pe;delete this._ignoredInputTimer;const{anchorNode:me,focusNode:xe,anchorOffset:Ae,focusOffset:ge}=F.getSelection()||{};if(me!==V||xe!==K||Ae!==W||ge!==X){(J=this._ignoredInputResolve)===null||J===void 0||J.call(this,!1);return}if(I=Ae||0,N=ge||0,L=((oe=C.textContent)===null||oe===void 0?void 0:oe.length)||0,me&&xe&&C.contains(me)&&C.contains(xe)&&me!==C){let Te=!1;const we=ke=>{if(ke===me)Te=!0;else if(ke===xe)return!0;const Be=ke.textContent;if(Be&&!ke.firstChild){const je=Be.length;Te?xe!==me&&(N+=je):(I+=je,N+=je)}let Ie=!1;for(let je=ke.firstChild;je&&!Ie;je=je.nextSibling)Ie=we(je);return Ie};we(C)}(pe=this._ignoredInputResolve)===null||pe===void 0||pe.call(this,!0)},0)}));if(B&&!await B||I!==N||I>0&&(R===Keys.Left||R===Keys.Up||R===Keys.Home)||I<L&&(R===Keys.Right||R===Keys.Down||R===Keys.End))return!0}return!1}}/*!
- * Copyright (c) Microsoft Corporation. All rights reserved.
- * Licensed under the MIT License.
- */function observeMutations(S,C,R,O){if(typeof MutationObserver>"u")return()=>{};const I=C.getWindow;let N;const L=V=>{var K,W,X,J,oe;for(const pe of V){const me=pe.target,xe=pe.removedNodes,Ae=pe.addedNodes;if(pe.type==="attributes")pe.attributeName===TabsterAttributeName&&R(C,me);else{for(let ge=0;ge<xe.length;ge++)B(xe[ge],!0),(W=(K=C._dummyObserver).domChanged)===null||W===void 0||W.call(K,me);for(let ge=0;ge<Ae.length;ge++)B(Ae[ge]),(J=(X=C._dummyObserver).domChanged)===null||J===void 0||J.call(X,me)}}(oe=C.modalizer)===null||oe===void 0||oe.hiddenUpdate()};function B(V,K){N||(N=getInstanceContext(I).elementByUId),j(V,K);const W=createElementTreeWalker(S,V,X=>j(X,K));if(W)for(;W.nextNode(););}function j(V,K){var W;if(!V.getAttribute)return NodeFilter.FILTER_SKIP;const X=V.__tabsterElementUID;return X&&N&&(K?delete N[X]:(W=N[X])!==null&&W!==void 0||(N[X]=new WeakHTMLElement(I,V))),(getTabsterOnElement(C,V)||V.hasAttribute(TabsterAttributeName))&&R(C,V,K),NodeFilter.FILTER_SKIP}const F=new MutationObserver(L);return O&&B(I().document.body),F.observe(S,{childList:!0,subtree:!0,attributes:!0,attributeFilter:[TabsterAttributeName]}),()=>{F.disconnect()}}/*!
- * Copyright (c) Microsoft Corporation. All rights reserved.
- * Licensed under the MIT License.
- */class UncontrolledAPI{constructor(C){this._isUncontrolledCompletely=C}isUncontrolledCompletely(C,R){var O;const I=(O=this._isUncontrolledCompletely)===null||O===void 0?void 0:O.call(this,C,R);return I===void 0?R:I}}/*!
- * Copyright (c) Microsoft Corporation. All rights reserved.
- * Licensed under the MIT License.
- */const EVENT_NAME="restorer:restorefocus",HISOTRY_DEPTH=10;class Restorer extends TabsterPart{constructor(C,R,O){var I;if(super(C,R,O),this._hasFocus=!1,this._onFocusOut=N=>{var L;const B=(L=this._element)===null||L===void 0?void 0:L.get();B&&N.relatedTarget===null&&B.dispatchEvent(new Event(EVENT_NAME,{bubbles:!0})),B&&!B.contains(N.relatedTarget)&&(this._hasFocus=!1)},this._onFocusIn=()=>{this._hasFocus=!0},this._props.type===RestorerTypes.Source){const N=(I=this._element)===null||I===void 0?void 0:I.get();N==null||N.addEventListener("focusout",this._onFocusOut),N==null||N.addEventListener("focusin",this._onFocusIn)}}dispose(){var C,R;if(this._props.type===RestorerTypes.Source){const O=(C=this._element)===null||C===void 0?void 0:C.get();O==null||O.removeEventListener("focusout",this._onFocusOut),O==null||O.removeEventListener("focusin",this._onFocusIn),this._hasFocus&&((R=this._tabster.getWindow().document.body)===null||R===void 0||R.dispatchEvent(new Event(EVENT_NAME,{bubbles:!0})))}}}class RestorerAPI{constructor(C){this._history=[],this._restoreFocusTimeout=0,this._onRestoreFocus=R=>{const O=this._getWindow();this._restoreFocusTimeout&&O.clearTimeout(this._restoreFocusTimeout),this._restoreFocusTimeout=O.setTimeout(()=>this._restoreFocus(R.target))},this._onFocusIn=R=>{var O;if(!R)return;const I=getTabsterOnElement(this._tabster,R);((O=I==null?void 0:I.restorer)===null||O===void 0?void 0:O.getProps().type)===RestorerTypes.Target&&this._addToHistory(R)},this._restoreFocus=R=>{var O,I,N;const L=this._getWindow().document;if(L.activeElement!==L.body||!this._keyboardNavState.isNavigatingWithKeyboard()&&L.body.contains(R))return;let B=this._history.pop();for(;B&&!L.body.contains((I=(O=B.get())===null||O===void 0?void 0:O.parentElement)!==null&&I!==void 0?I:null);)B=this._history.pop();(N=B==null?void 0:B.get())===null||N===void 0||N.focus()},this._tabster=C,this._getWindow=C.getWindow,this._getWindow().addEventListener(EVENT_NAME,this._onRestoreFocus),this._keyboardNavState=C.keyboardNavigation,this._focusedElementState=C.focusedElement,this._focusedElementState.subscribe(this._onFocusIn)}dispose(){const C=this._getWindow();this._focusedElementState.unsubscribe(this._onFocusIn),C.removeEventListener(EVENT_NAME,this._onRestoreFocus),this._restoreFocusTimeout&&C.clearTimeout(this._restoreFocusTimeout)}_addToHistory(C){var R;((R=this._history[this._history.length-1])===null||R===void 0?void 0:R.get())!==C&&(this._history.length>HISOTRY_DEPTH&&this._history.shift(),this._history.push(new WeakHTMLElement(this._getWindow,C)))}createRestorer(C,R){const O=new Restorer(this._tabster,C,R);return R.type===RestorerTypes.Target&&C.ownerDocument.activeElement===C&&this._addToHistory(C),O}}/*!
- * Copyright (c) Microsoft Corporation. All rights reserved.
- * Licensed under the MIT License.
- */class Tabster{constructor(C){this.keyboardNavigation=C.keyboardNavigation,this.focusedElement=C.focusedElement,this.focusable=C.focusable,this.root=C.root,this.uncontrolled=C.uncontrolled,this.core=C}}class TabsterCore{constructor(C,R){var O,I;this._forgetMemorizedElements=[],this._wrappers=new Set,this._initQueue=[],this._version="5.2.0",this._noop=!1,this.getWindow=()=>{if(!this._win)throw new Error("Using disposed Tabster.");return this._win},this._storage=createWeakMap(C),this._win=C;const N=this.getWindow;this.keyboardNavigation=new KeyboardNavigationState(N),this.focusedElement=new FocusedElementState(this,N),this.focusable=new FocusableAPI(this),this.root=new RootAPI(this,R==null?void 0:R.autoRoot),this.uncontrolled=new UncontrolledAPI((R==null?void 0:R.checkUncontrolledCompletely)||(R==null?void 0:R.checkUncontrolledTrappingFocus)),this.controlTab=(O=R==null?void 0:R.controlTab)!==null&&O!==void 0?O:!0,this.rootDummyInputs=!!(R!=null&&R.rootDummyInputs),this._dummyObserver=new DummyInputObserver(N),this.getParent=(I=R==null?void 0:R.getParent)!==null&&I!==void 0?I:L=>L.parentElement,this.internal={stopObserver:()=>{this._unobserve&&(this._unobserve(),delete this._unobserve)},resumeObserver:L=>{if(!this._unobserve){const B=N().document;this._unobserve=observeMutations(B,this,updateTabsterByAttribute,L)}}},startFakeWeakRefsCleanup(N),this.queueInit(()=>{this.internal.resumeObserver(!0)})}_mergeProps(C){var R;C&&(this.getParent=(R=C.getParent)!==null&&R!==void 0?R:this.getParent)}createTabster(C,R){const O=new Tabster(this);return C||this._wrappers.add(O),this._mergeProps(R),O}disposeTabster(C,R){R?this._wrappers.clear():this._wrappers.delete(C),this._wrappers.size===0&&this.dispose()}dispose(){var C,R,O,I,N,L,B,j;this.internal.stopObserver();const F=this._win;F==null||F.clearTimeout(this._initTimer),delete this._initTimer,this._initQueue=[],this._forgetMemorizedElements=[],F&&this._forgetMemorizedTimer&&(F.clearTimeout(this._forgetMemorizedTimer),delete this._forgetMemorizedTimer),(C=this.outline)===null||C===void 0||C.dispose(),(R=this.crossOrigin)===null||R===void 0||R.dispose(),(O=this.deloser)===null||O===void 0||O.dispose(),(I=this.groupper)===null||I===void 0||I.dispose(),(N=this.mover)===null||N===void 0||N.dispose(),(L=this.modalizer)===null||L===void 0||L.dispose(),(B=this.observedElement)===null||B===void 0||B.dispose(),(j=this.restorer)===null||j===void 0||j.dispose(),this.keyboardNavigation.dispose(),this.focusable.dispose(),this.focusedElement.dispose(),this.root.dispose(),this._dummyObserver.dispose(),stopFakeWeakRefsCleanupAndClearStorage(this.getWindow),clearElementCache(this.getWindow),this._storage=new WeakMap,this._wrappers.clear(),F&&(disposeInstanceContext(F),delete F.__tabsterInstance,delete this._win)}storageEntry(C,R){const O=this._storage;let I=O.get(C);return I?R===!1&&Object.keys(I).length===0&&O.delete(C):R===!0&&(I={},O.set(C,I)),I}forceCleanup(){this._win&&(this._forgetMemorizedElements.push(this._win.document.body),!this._forgetMemorizedTimer&&(this._forgetMemorizedTimer=this._win.setTimeout(()=>{delete this._forgetMemorizedTimer;for(let C=this._forgetMemorizedElements.shift();C;C=this._forgetMemorizedElements.shift())clearElementCache(this.getWindow,C),FocusedElementState.forgetMemorized(this.focusedElement,C)},0),cleanupFakeWeakRefs(this.getWindow,!0)))}queueInit(C){var R;this._win&&(this._initQueue.push(C),this._initTimer||(this._initTimer=(R=this._win)===null||R===void 0?void 0:R.setTimeout(()=>{delete this._initTimer,this.drainInitQueue()},0)))}drainInitQueue(){if(!this._win)return;const C=this._initQueue;this._initQueue=[],C.forEach(R=>R())}}function createTabster(S,C){let R=getCurrentTabster(S);return R?R.createTabster(!1,C):(R=new TabsterCore(S,C),S.__tabsterInstance=R,R.createTabster())}function getGroupper(S){const C=S.core;return C.groupper||(C.groupper=new GroupperAPI(C,C.getWindow)),C.groupper}function getMover(S){const C=S.core;return C.mover||(C.mover=new MoverAPI(C,C.getWindow)),C.mover}function getModalizer(S,C,R){const O=S.core;return O.modalizer||(O.modalizer=new ModalizerAPI(O,C,R)),O.modalizer}function getRestorer(S){const C=S.core;return C.restorer||(C.restorer=new RestorerAPI(C)),C.restorer}function disposeTabster(S,C){S.core.disposeTabster(S,C)}function getCurrentTabster(S){return S.__tabsterInstance}const useTabster=()=>{const{targetDocument:S}=useFluent(),C=(S==null?void 0:S.defaultView)||void 0,R=reactExports.useMemo(()=>C?createTabster(C,{autoRoot:{},controlTab:!1,getParent:getParent$1,checkUncontrolledTrappingFocus:O=>{var I;return!!(!((I=O.firstElementChild)===null||I===void 0)&&I.hasAttribute("data-is-focus-trap-zone-bumper"))}}):null,[C]);return useIsomorphicLayoutEffect$1(()=>()=>{R&&disposeTabster(R)},[R]),R},useTabsterAttributes=S=>(useTabster(),getTabsterAttribute(S)),useArrowNavigationGroup=(S={})=>{const{circular:C,axis:R,memorizeCurrent:O,tabbable:I,ignoreDefaultKeydown:N,unstable_hasDefault:L}=S,B=useTabster();return B&&getMover(B),useTabsterAttributes({mover:{cyclic:!!C,direction:axisToMoverDirection(R??"vertical"),memorizeCurrent:O,tabbable:I,hasDefault:L},...N&&{focusable:{ignoreKeydown:N}}})};function axisToMoverDirection(S){switch(S){case"horizontal":return Types.MoverDirections.Horizontal;case"grid":return Types.MoverDirections.Grid;case"grid-linear":return Types.MoverDirections.GridLinear;case"both":return Types.MoverDirections.Both;case"vertical":default:return Types.MoverDirections.Vertical}}const useFocusableGroup=S=>{const C=useTabster();return C&&getGroupper(C),useTabsterAttributes({groupper:{tabbability:getTabbability(S==null?void 0:S.tabBehavior)},focusable:{ignoreKeydown:S==null?void 0:S.ignoreDefaultKeydown}})},getTabbability=S=>{switch(S){case"unlimited":return Types.GroupperTabbabilities.Unlimited;case"limited":return Types.GroupperTabbabilities.Limited;case"limited-trap-focus":return Types.GroupperTabbabilities.LimitedTrapFocus;default:return}},useFocusFinders=()=>{const S=useTabster(),{targetDocument:C}=useFluent(),R=reactExports.useCallback((B,j)=>(S==null?void 0:S.focusable.findAll({container:B,acceptCondition:j}))||[],[S]),O=reactExports.useCallback(B=>S==null?void 0:S.focusable.findFirst({container:B}),[S]),I=reactExports.useCallback(B=>S==null?void 0:S.focusable.findLast({container:B}),[S]),N=reactExports.useCallback((B,j={})=>{if(!S||!C)return null;const{container:F=C.body}=j;return S.focusable.findNext({currentElement:B,container:F})},[S,C]),L=reactExports.useCallback((B,j={})=>{if(!S||!C)return null;const{container:F=C.body}=j;return S.focusable.findPrev({currentElement:B,container:F})},[S,C]);return{findAllFocusable:R,findFirstFocusable:O,findLastFocusable:I,findNextFocusable:N,findPrevFocusable:L}},FOCUS_VISIBLE_ATTR="data-fui-focus-visible",FOCUS_WITHIN_ATTR="data-fui-focus-within";function applyFocusVisiblePolyfill(S,C){if(alreadyInScope(S))return()=>{};const R={current:void 0},O=createKeyborg(C);function I(j){O.isNavigatingWithKeyboard()&&isHTMLElement$4(j)&&(R.current=j,j.setAttribute(FOCUS_VISIBLE_ATTR,""))}function N(){R.current&&(R.current.removeAttribute(FOCUS_VISIBLE_ATTR),R.current=void 0)}O.subscribe(j=>{j||N()});const L=j=>{N();const F=j.composedPath()[0];I(F)},B=j=>{(!j.relatedTarget||isHTMLElement$4(j.relatedTarget)&&!S.contains(j.relatedTarget))&&N()};return S.addEventListener(KEYBORG_FOCUSIN,L),S.addEventListener("focusout",B),S.focusVisible=!0,I(C.document.activeElement),()=>{N(),S.removeEventListener(KEYBORG_FOCUSIN,L),S.removeEventListener("focusout",B),delete S.focusVisible,disposeKeyborg(O)}}function alreadyInScope(S){return S?S.focusVisible?!0:alreadyInScope(S==null?void 0:S.parentElement):!1}function useFocusVisible(S={}){const C=useFluent(),R=reactExports.useRef(null);var O;const I=(O=S.targetDocument)!==null&&O!==void 0?O:C.targetDocument;return reactExports.useEffect(()=>{if(I!=null&&I.defaultView&&R.current)return applyFocusVisiblePolyfill(R.current,I.defaultView)},[R,I]),R}function applyFocusWithinPolyfill(S,C){const R=createKeyborg(C);R.subscribe(N=>{N||removeFocusWithinClass(S)});const O=N=>{R.isNavigatingWithKeyboard()&&isHTMLElement$3(N.target)&&applyFocusWithinClass(S)},I=N=>{(!N.relatedTarget||isHTMLElement$3(N.relatedTarget)&&!S.contains(N.relatedTarget))&&removeFocusWithinClass(S)};return S.addEventListener(KEYBORG_FOCUSIN,O),S.addEventListener("focusout",I),()=>{S.removeEventListener(KEYBORG_FOCUSIN,O),S.removeEventListener("focusout",I),disposeKeyborg(R)}}function applyFocusWithinClass(S){S.setAttribute(FOCUS_WITHIN_ATTR,"")}function removeFocusWithinClass(S){S.removeAttribute(FOCUS_WITHIN_ATTR)}function isHTMLElement$3(S){return S?!!(S&&typeof S=="object"&&"classList"in S&&"contains"in S):!1}function useFocusWithin(){const{targetDocument:S}=useFluent(),C=reactExports.useRef(null);return reactExports.useEffect(()=>{if(S!=null&&S.defaultView&&C.current)return applyFocusWithinPolyfill(C.current,S.defaultView)},[C,S]),C}const useModalAttributes=(S={})=>{const{trapFocus:C,alwaysFocusable:R,legacyTrapFocus:O}=S,I=useTabster();I&&(getModalizer(I),getRestorer(I));const N=useId$1("modal-",S.id),L=useTabsterAttributes({restorer:{type:Types.RestorerTypes.Source},...C&&{modalizer:{id:N,isOthersAccessible:!C,isAlwaysAccessible:R,isTrapped:O&&C}}}),B=useTabsterAttributes({restorer:{type:Types.RestorerTypes.Target}});return{modalAttributes:L,triggerAttributes:B}},grey={2:"#050505",4:"#0a0a0a",6:"#0f0f0f",8:"#141414",10:"#1a1a1a",12:"#1f1f1f",14:"#242424",16:"#292929",18:"#2e2e2e",20:"#333333",22:"#383838",24:"#3d3d3d",26:"#424242",28:"#474747",30:"#4d4d4d",32:"#525252",34:"#575757",36:"#5c5c5c",38:"#616161",40:"#666666",42:"#6b6b6b",44:"#707070",46:"#757575",48:"#7a7a7a",50:"#808080",52:"#858585",54:"#8a8a8a",56:"#8f8f8f",58:"#949494",60:"#999999",62:"#9e9e9e",64:"#a3a3a3",66:"#a8a8a8",68:"#adadad",70:"#b3b3b3",72:"#b8b8b8",74:"#bdbdbd",76:"#c2c2c2",78:"#c7c7c7",80:"#cccccc",82:"#d1d1d1",84:"#d6d6d6",86:"#dbdbdb",88:"#e0e0e0",90:"#e6e6e6",92:"#ebebeb",94:"#f0f0f0",96:"#f5f5f5",98:"#fafafa"},whiteAlpha={5:"rgba(255, 255, 255, 0.05)",10:"rgba(255, 255, 255, 0.1)",20:"rgba(255, 255, 255, 0.2)",30:"rgba(255, 255, 255, 0.3)",40:"rgba(255, 255, 255, 0.4)",50:"rgba(255, 255, 255, 0.5)",60:"rgba(255, 255, 255, 0.6)",70:"rgba(255, 255, 255, 0.7)",80:"rgba(255, 255, 255, 0.8)",90:"rgba(255, 255, 255, 0.9)"},blackAlpha={5:"rgba(0, 0, 0, 0.05)",10:"rgba(0, 0, 0, 0.1)",20:"rgba(0, 0, 0, 0.2)",30:"rgba(0, 0, 0, 0.3)",40:"rgba(0, 0, 0, 0.4)",50:"rgba(0, 0, 0, 0.5)",60:"rgba(0, 0, 0, 0.6)",70:"rgba(0, 0, 0, 0.7)",80:"rgba(0, 0, 0, 0.8)",90:"rgba(0, 0, 0, 0.9)"},grey10Alpha={5:"rgba(26, 26, 26, 0.05)",10:"rgba(26, 26, 26, 0.1)",20:"rgba(26, 26, 26, 0.2)",30:"rgba(26, 26, 26, 0.3)",40:"rgba(26, 26, 26, 0.4)",50:"rgba(26, 26, 26, 0.5)",60:"rgba(26, 26, 26, 0.6)",70:"rgba(26, 26, 26, 0.7)",80:"rgba(26, 26, 26, 0.8)",90:"rgba(26, 26, 26, 0.9)"},grey12Alpha={5:"rgba(31, 31, 31, 0.05)",10:"rgba(31, 31, 31, 0.1)",20:"rgba(31, 31, 31, 0.2)",30:"rgba(31, 31, 31, 0.3)",40:"rgba(31, 31, 31, 0.4)",50:"rgba(31, 31, 31, 0.5)",60:"rgba(31, 31, 31, 0.6)",70:"rgba(31, 31, 31, 0.7)",80:"rgba(31, 31, 31, 0.8)",90:"rgba(31, 31, 31, 0.9)"},grey14Alpha={5:"rgba(36, 36, 36, 0.05)",10:"rgba(36, 36, 36, 0.1)",20:"rgba(36, 36, 36, 0.2)",30:"rgba(36, 36, 36, 0.3)",40:"rgba(36, 36, 36, 0.4)",50:"rgba(36, 36, 36, 0.5)",60:"rgba(36, 36, 36, 0.6)",70:"rgba(36, 36, 36, 0.7)",80:"rgba(36, 36, 36, 0.8)",90:"rgba(36, 36, 36, 0.9)"},white="#ffffff",black="#000000",darkRed={shade50:"#130204",shade40:"#230308",shade30:"#420610",shade20:"#590815",shade10:"#690a19",primary:"#750b1c",tint10:"#861b2c",tint20:"#962f3f",tint30:"#ac4f5e",tint40:"#d69ca5",tint50:"#e9c7cd",tint60:"#f9f0f2"},cranberry={shade50:"#200205",shade40:"#3b0509",shade30:"#6e0811",shade20:"#960b18",shade10:"#b10e1c",primary:"#c50f1f",tint10:"#cc2635",tint20:"#d33f4c",tint30:"#dc626d",tint40:"#eeacb2",tint50:"#f6d1d5",tint60:"#fdf3f4"},red={shade50:"#210809",shade40:"#3f1011",shade30:"#751d1f",shade20:"#9f282b",shade10:"#bc2f32",primary:"#d13438",tint10:"#d7494c",tint20:"#dc5e62",tint30:"#e37d80",tint40:"#f1bbbc",tint50:"#f8dadb",tint60:"#fdf6f6"},darkOrange={shade50:"#230900",shade40:"#411200",shade30:"#7a2101",shade20:"#a62d01",shade10:"#c43501",primary:"#da3b01",tint10:"#de501c",tint20:"#e36537",tint30:"#e9835e",tint40:"#f4bfab",tint50:"#f9dcd1",tint60:"#fdf6f3"},pumpkin={shade50:"#200d03",shade40:"#3d1805",shade30:"#712d09",shade20:"#9a3d0c",shade10:"#b6480e",primary:"#ca5010",tint10:"#d06228",tint20:"#d77440",tint30:"#df8e64",tint40:"#efc4ad",tint50:"#f7dfd2",tint60:"#fdf7f4"},orange={shade50:"#271002",shade40:"#4a1e04",shade30:"#8a3707",shade20:"#bc4b09",shade10:"#de590b",primary:"#f7630c",tint10:"#f87528",tint20:"#f98845",tint30:"#faa06b",tint40:"#fdcfb4",tint50:"#fee5d7",tint60:"#fff9f5"},peach={shade50:"#291600",shade40:"#4d2a00",shade30:"#8f4e00",shade20:"#c26a00",shade10:"#e67e00",primary:"#ff8c00",tint10:"#ff9a1f",tint20:"#ffa83d",tint30:"#ffba66",tint40:"#ffddb3",tint50:"#ffedd6",tint60:"#fffaf5"},marigold={shade50:"#251a00",shade40:"#463100",shade30:"#835b00",shade20:"#b27c00",shade10:"#d39300",primary:"#eaa300",tint10:"#edad1c",tint20:"#efb839",tint30:"#f2c661",tint40:"#f9e2ae",tint50:"#fcefd3",tint60:"#fefbf4"},yellow={primary:"#fde300",shade10:"#e4cc00",shade20:"#c0ad00",shade30:"#817400",shade40:"#4c4400",shade50:"#282400",tint10:"#fde61e",tint20:"#fdea3d",tint30:"#feee66",tint40:"#fef7b2",tint50:"#fffad6",tint60:"#fffef5"},gold={shade50:"#1f1900",shade40:"#3a2f00",shade30:"#6c5700",shade20:"#937700",shade10:"#ae8c00",primary:"#c19c00",tint10:"#c8a718",tint20:"#d0b232",tint30:"#dac157",tint40:"#ecdfa5",tint50:"#f5eece",tint60:"#fdfbf2"},brass={shade50:"#181202",shade40:"#2e2103",shade30:"#553e06",shade20:"#745408",shade10:"#89640a",primary:"#986f0b",tint10:"#a47d1e",tint20:"#b18c34",tint30:"#c1a256",tint40:"#e0cea2",tint50:"#efe4cb",tint60:"#fbf8f2"},brown={shade50:"#170e07",shade40:"#2b1a0e",shade30:"#50301a",shade20:"#6c4123",shade10:"#804d29",primary:"#8e562e",tint10:"#9c663f",tint20:"#a97652",tint30:"#bb8f6f",tint40:"#ddc3b0",tint50:"#edded3",tint60:"#faf7f4"},forest={shade50:"#0c1501",shade40:"#162702",shade30:"#294903",shade20:"#376304",shade10:"#427505",primary:"#498205",tint10:"#599116",tint20:"#6ba02b",tint30:"#85b44c",tint40:"#bdd99b",tint50:"#dbebc7",tint60:"#f6faf0"},seafoam={shade50:"#002111",shade40:"#003d20",shade30:"#00723b",shade20:"#009b51",shade10:"#00b85f",primary:"#00cc6a",tint10:"#19d279",tint20:"#34d889",tint30:"#5ae0a0",tint40:"#a8f0cd",tint50:"#cff7e4",tint60:"#f3fdf8"},lightGreen={shade50:"#031a02",shade40:"#063004",shade30:"#0b5a08",shade20:"#0e7a0b",shade10:"#11910d",primary:"#13a10e",tint10:"#27ac22",tint20:"#3db838",tint30:"#5ec75a",tint40:"#a7e3a5",tint50:"#cef0cd",tint60:"#f2fbf2"},green={shade50:"#031403",shade40:"#052505",shade30:"#094509",shade20:"#0c5e0c",shade10:"#0e700e",primary:"#107c10",tint10:"#218c21",tint20:"#359b35",tint30:"#54b054",tint40:"#9fd89f",tint50:"#c9eac9",tint60:"#f1faf1"},darkGreen={shade50:"#021102",shade40:"#032003",shade30:"#063b06",shade20:"#085108",shade10:"#0a5f0a",primary:"#0b6a0b",tint10:"#1a7c1a",tint20:"#2d8e2d",tint30:"#4da64d",tint40:"#9ad29a",tint50:"#c6e7c6",tint60:"#f0f9f0"},lightTeal={shade50:"#001d1f",shade40:"#00373a",shade30:"#00666d",shade20:"#008b94",shade10:"#00a5af",primary:"#00b7c3",tint10:"#18bfca",tint20:"#32c8d1",tint30:"#58d3db",tint40:"#a6e9ed",tint50:"#cef3f5",tint60:"#f2fcfd"},teal={shade50:"#001516",shade40:"#012728",shade30:"#02494c",shade20:"#026467",shade10:"#037679",primary:"#038387",tint10:"#159195",tint20:"#2aa0a4",tint30:"#4cb4b7",tint40:"#9bd9db",tint50:"#c7ebec",tint60:"#f0fafa"},steel={shade50:"#000f12",shade40:"#001b22",shade30:"#00333f",shade20:"#004555",shade10:"#005265",primary:"#005b70",tint10:"#0f6c81",tint20:"#237d92",tint30:"#4496a9",tint40:"#94c8d4",tint50:"#c3e1e8",tint60:"#eff7f9"},blue={shade50:"#001322",shade40:"#002440",shade30:"#004377",shade20:"#005ba1",shade10:"#006cbf",primary:"#0078d4",tint10:"#1a86d9",tint20:"#3595de",tint30:"#5caae5",tint40:"#a9d3f2",tint50:"#d0e7f8",tint60:"#f3f9fd"},royalBlue={shade50:"#000c16",shade40:"#00172a",shade30:"#002c4e",shade20:"#003b6a",shade10:"#00467e",primary:"#004e8c",tint10:"#125e9a",tint20:"#286fa8",tint30:"#4a89ba",tint40:"#9abfdc",tint50:"#c7dced",tint60:"#f0f6fa"},cornflower={shade50:"#0d1126",shade40:"#182047",shade30:"#2c3c85",shade20:"#3c51b4",shade10:"#4760d5",primary:"#4f6bed",tint10:"#637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R=C.slice(0,1).toUpperCase()+C.slice(1),O={[`colorPalette${R}Background1`]:statusSharedColors[C].tint60,[`colorPalette${R}Background2`]:statusSharedColors[C].tint40,[`colorPalette${R}Background3`]:statusSharedColors[C].primary,[`colorPalette${R}Foreground1`]:statusSharedColors[C].shade10,[`colorPalette${R}Foreground2`]:statusSharedColors[C].shade30,[`colorPalette${R}Foreground3`]:statusSharedColors[C].primary,[`colorPalette${R}BorderActive`]:statusSharedColors[C].primary,[`colorPalette${R}Border1`]:statusSharedColors[C].tint40,[`colorPalette${R}Border2`]:statusSharedColors[C].primary};return Object.assign(S,O)},{});statusColorPaletteTokens$1.colorPaletteYellowForeground1=statusSharedColors.yellow.shade30,statusColorPaletteTokens$1.colorPaletteRedForegroundInverted=statusSharedColors.red.tint20,statusColorPaletteTokens$1.colorPaletteGreenForegroundInverted=statusSharedColors.green.tint20,statusColorPaletteTokens$1.colorPaletteYellowForegroundInverted=statusSharedColors.yellow.tint40;const personaColorPaletteTokens$1=personaSharedColorNames.reduce((S,C)=>{const R=C.slice(0,1).toUpperCase()+C.slice(1),O={[`colorPalette${R}Background2`]:personaSharedColors[C].tint40,[`colorPalette${R}Foreground2`]:personaSharedColors[C].shade30,[`colorPalette${R}BorderActive`]:personaSharedColors[C].primary};return Object.assign(S,O)},{}),colorPaletteTokens$1={...statusColorPaletteTokens$1,...personaColorPaletteTokens$1},colorStatusTokens$1=Object.entries(statusColorMapping).reduce((S,[C,R])=>{const O=C.slice(0,1).toUpperCase()+C.slice(1),I={[`colorStatus${O}Background1`]:mappedStatusColors[R].tint60,[`colorStatus${O}Background2`]:mappedStatusColors[R].tint40,[`colorStatus${O}Background3`]:mappedStatusColors[R].primary,[`colorStatus${O}Foreground1`]:mappedStatusColors[R].shade10,[`colorStatus${O}Foreground2`]:mappedStatusColors[R].shade30,[`colorStatus${O}Foreground3`]:mappedStatusColors[R].primary,[`colorStatus${O}ForegroundInverted`]:mappedStatusColors[R].tint30,[`colorStatus${O}BorderActive`]:mappedStatusColors[R].primary,[`colorStatus${O}Border1`]:mappedStatusColors[R].tint40,[`colorStatus${O}Border2`]:mappedStatusColors[R].primary};return Object.assign(S,I)},{});colorStatusTokens$1.colorStatusWarningForeground1=mappedStatusColors[statusColorMapping.warning].shade20,colorStatusTokens$1.colorStatusWarningForeground3=mappedStatusColors[statusColorMapping.warning].shade20,colorStatusTokens$1.colorStatusWarningBorder2=mappedStatusColors[statusColorMapping.warning].shade20;const generateColorTokens$1=S=>({colorNeutralForeground1:grey[14],colorNeutralForeground1Hover:grey[14],colorNeutralForeground1Pressed:grey[14],colorNeutralForeground1Selected:grey[14],colorNeutralForeground2:grey[26],colorNeutralForeground2Hover:grey[14],colorNeutralForeground2Pressed:grey[14],colorNeutralForeground2Selected:grey[14],colorNeutralForeground2BrandHover:S[80],colorNeutralForeground2BrandPressed:S[70],colorNeutralForeground2BrandSelected:S[80],colorNeutralForeground3:grey[38],colorNeutralForeground3Hover:grey[26],colorNeutralForeground3Pressed:grey[26],colorNeutralForeground3Selected:grey[26],colorNeutralForeground3BrandHover:S[80],colorNeutralForeground3BrandPressed:S[70],colorNeutralForeground3BrandSelected:S[80],colorNeutralForeground4:grey[44],colorNeutralForegroundDisabled:grey[74],colorNeutralForegroundInvertedDisabled:whiteAlpha[40],colorBrandForegroundLink:S[70],colorBrandForegroundLinkHover:S[60],colorBrandForegroundLinkPressed:S[40],colorBrandForegroundLinkSelected:S[70],colorNeutralForeground2Link:grey[26],colorNeutralForeground2LinkHover:grey[14],colorNeutralForeground2LinkPressed:grey[14],colorNeutralForeground2LinkSelected:grey[14],colorCompoundBrandForeground1:S[80],colorCompoundBrandForeground1Hover:S[70],colorCompoundBrandForeground1Pressed:S[60],colorBrandForeground1:S[80],colorBrandForeground2:S[70],colorBrandForeground2Hover:S[60],colorBrandForeground2Pressed:S[30],colorNeutralForeground1Static:grey[14],colorNeutralForegroundStaticInverted:white,colorNeutralForegroundInverted:white,colorNeutralForegroundInvertedHover:white,colorNeutralForegroundInvertedPressed:white,colorNeutralForegroundInvertedSelected:white,colorNeutralForegroundInverted2:white,colorNeutralForegroundOnBrand:white,colorNeutralForegroundInvertedLink:white,colorNeutralForegroundInvertedLinkHover:white,colorNeutralForegroundInvertedLinkPressed:white,colorNeutralForegroundInvertedLinkSelected:white,colorBrandForegroundInverted:S[100],colorBrandForegroundInvertedHover:S[110],colorBrandForegroundInvertedPressed:S[100],colorBrandForegroundOnLight:S[80],colorBrandForegroundOnLightHover:S[70],colorBrandForegroundOnLightPressed:S[50],colorBrandForegroundOnLightSelected:S[60],colorNeutralBackground1:white,colorNeutralBackground1Hover:grey[96],colorNeutralBackground1Pressed:grey[88],colorNeutralBackground1Selected:grey[92],colorNeutralBackground2:grey[98],colorNeutralBackground2Hover:grey[94],colorNeutralBackground2Pressed:grey[86],colorNeutralBackground2Selected:grey[90],colorNeutralBackground3:grey[96],colorNeutralBackground3Hover:grey[92],colorNeutralBackground3Pressed:grey[84],colorNeutralBackground3Selected:grey[88],colorNeutralBackground4:grey[94],colorNeutralBackground4Hover:grey[98],colorNeutralBackground4Pressed:grey[96],colorNeutralBackground4Selected:white,colorNeutralBackground5:grey[92],colorNeutralBackground5Hover:grey[96],colorNeutralBackground5Pressed:grey[94],colorNeutralBackground5Selected:grey[98],colorNeutralBackground6:grey[90],colorNeutralBackgroundInverted:grey[16],colorNeutralBackgroundStatic:grey[20],colorNeutralBackgroundAlpha:whiteAlpha[50],colorNeutralBackgroundAlpha2:whiteAlpha[80],colorSubtleBackground:"transparent",colorSubtleBackgroundHover:grey[96],colorSubtleBackgroundPressed:grey[88],colorSubtleBackgroundSelected:grey[92],colorSubtleBackgroundLightAlphaHover:whiteAlpha[70],colorSubtleBackgroundLightAlphaPressed:whiteAlpha[50],colorSubtleBackgroundLightAlphaSelected:"transparent",colorSubtleBackgroundInverted:"transparent",colorSubtleBackgroundInvertedHover:blackAlpha[10],colorSubtleBackgroundInvertedPressed:blackAlpha[30],colorSubtleBackgroundInvertedSelected:blackAlpha[20],colorTransparentBackground:"transparent",colorTransparentBackgroundHover:"transparent",colorTransparentBackgroundPressed:"transparent",colorTransparentBackgroundSelected:"transparent",colorNeutralBackgroundDisabled:grey[94],colorNeutralBackgroundInvertedDisabled:whiteAlpha[10],colorNeutralStencil1:grey[90],colorNeutralStencil2:grey[98],colorNeutralStencil1Alpha:blackAlpha[10],colorNeutralStencil2Alpha:blackAlpha[5],colorBackgroundOverlay:blackAlpha[40],colorScrollbarOverlay:blackAlpha[50],colorBrandBackground:S[80],colorBrandBackgroundHover:S[70],colorBrandBackgroundPressed:S[40],colorBrandBackgroundSelected:S[60],colorCompoundBrandBackground:S[80],colorCompoundBrandBackgroundHover:S[70],colorCompoundBrandBackgroundPressed:S[60],colorBrandBackgroundStatic:S[80],colorBrandBackground2:S[160],colorBrandBackground2Hover:S[150],colorBrandBackground2Pressed:S[130],colorBrandBackgroundInverted:white,colorBrandBackgroundInvertedHover:S[160],colorBrandBackgroundInvertedPressed:S[140],colorBrandBackgroundInvertedSelected:S[150],colorNeutralStrokeAccessible:grey[38],colorNeutralStrokeAccessibleHover:grey[34],colorNeutralStrokeAccessiblePressed:grey[30],colorNeutralStrokeAccessibleSelected:S[80],colorNeutralStroke1:grey[82],colorNeutralStroke1Hover:grey[78],colorNeutralStroke1Pressed:grey[70],colorNeutralStroke1Selected:grey[74],colorNeutralStroke2:grey[88],colorNeutralStroke3:grey[94],colorNeutralStrokeSubtle:grey[88],colorNeutralStrokeOnBrand:white,colorNeutralStrokeOnBrand2:white,colorNeutralStrokeOnBrand2Hover:white,colorNeutralStrokeOnBrand2Pressed:white,colorNeutralStrokeOnBrand2Selected:white,colorBrandStroke1:S[80],colorBrandStroke2:S[140],colorBrandStroke2Hover:S[120],colorBrandStroke2Pressed:S[80],colorBrandStroke2Contrast:S[140],colorCompoundBrandStroke:S[80],colorCompoundBrandStrokeHover:S[70],colorCompoundBrandStrokePressed:S[60],colorNeutralStrokeDisabled:grey[88],colorNeutralStrokeInvertedDisabled:whiteAlpha[40],colorTransparentStroke:"transparent",colorTransparentStrokeInteractive:"transparent",colorTransparentStrokeDisabled:"transparent",colorNeutralStrokeAlpha:blackAlpha[5],colorNeutralStrokeAlpha2:whiteAlpha[20],colorStrokeFocus1:white,colorStrokeFocus2:black,colorNeutralShadowAmbient:"rgba(0,0,0,0.12)",colorNeutralShadowKey:"rgba(0,0,0,0.14)",colorNeutralShadowAmbientLighter:"rgba(0,0,0,0.06)",colorNeutralShadowKeyLighter:"rgba(0,0,0,0.07)",colorNeutralShadowAmbientDarker:"rgba(0,0,0,0.20)",colorNeutralShadowKeyDarker:"rgba(0,0,0,0.24)",colorBrandShadowAmbient:"rgba(0,0,0,0.30)",colorBrandShadowKey:"rgba(0,0,0,0.25)"}),borderRadius={borderRadiusNone:"0",borderRadiusSmall:"2px",borderRadiusMedium:"4px",borderRadiusLarge:"6px",borderRadiusXLarge:"8px",borderRadiusCircular:"10000px"},curves={curveAccelerateMax:"cubic-bezier(0.9,0.1,1,0.2)",curveAccelerateMid:"cubic-bezier(1,0,1,1)",curveAccelerateMin:"cubic-bezier(0.8,0,0.78,1)",curveDecelerateMax:"cubic-bezier(0.1,0.9,0.2,1)",curveDecelerateMid:"cubic-bezier(0,0,0,1)",curveDecelerateMin:"cubic-bezier(0.33,0,0.1,1)",curveEasyEaseMax:"cubic-bezier(0.8,0,0.2,1)",curveEasyEase:"cubic-bezier(0.33,0,0.67,1)",curveLinear:"cubic-bezier(0,0,1,1)"},durations={durationUltraFast:"50ms",durationFaster:"100ms",durationFast:"150ms",durationNormal:"200ms",durationGentle:"250ms",durationSlow:"300ms",durationSlower:"400ms",durationUltraSlow:"500ms"},fontSizes={fontSizeBase100:"10px",fontSizeBase200:"12px",fontSizeBase300:"14px",fontSizeBase400:"16px",fontSizeBase500:"20px",fontSizeBase600:"24px",fontSizeHero700:"28px",fontSizeHero800:"32px",fontSizeHero900:"40px",fontSizeHero1000:"68px"},lineHeights={lineHeightBase100:"14px",lineHeightBase200:"16px",lineHeightBase300:"20px",lineHeightBase400:"22px",lineHeightBase500:"28px",lineHeightBase600:"32px",lineHeightHero700:"36px",lineHeightHero800:"40px",lineHeightHero900:"52px",lineHeightHero1000:"92px"},fontWeights={fontWeightRegular:400,fontWeightMedium:500,fontWeightSemibold:600,fontWeightBold:700},fontFamilies={fontFamilyBase:"'Segoe UI', 'Segoe UI Web (West European)', -apple-system, BlinkMacSystemFont, Roboto, 'Helvetica Neue', sans-serif",fontFamilyMonospace:"Consolas, 'Courier New', Courier, monospace",fontFamilyNumeric:"Bahnschrift, 'Segoe UI', 'Segoe UI Web (West European)', -apple-system, BlinkMacSystemFont, Roboto, 'Helvetica Neue', sans-serif"},spacings={none:"0",xxs:"2px",xs:"4px",sNudge:"6px",s:"8px",mNudge:"10px",m:"12px",l:"16px",xl:"20px",xxl:"24px",xxxl:"32px"},horizontalSpacings={spacingHorizontalNone:spacings.none,spacingHorizontalXXS:spacings.xxs,spacingHorizontalXS:spacings.xs,spacingHorizontalSNudge:spacings.sNudge,spacingHorizontalS:spacings.s,spacingHorizontalMNudge:spacings.mNudge,spacingHorizontalM:spacings.m,spacingHorizontalL:spacings.l,spacingHorizontalXL:spacings.xl,spacingHorizontalXXL:spacings.xxl,spacingHorizontalXXXL:spacings.xxxl},verticalSpacings={spacingVerticalNone:spacings.none,spacingVerticalXXS:spacings.xxs,spacingVerticalXS:spacings.xs,spacingVerticalSNudge:spacings.sNudge,spacingVerticalS:spacings.s,spacingVerticalMNudge:spacings.mNudge,spacingVerticalM:spacings.m,spacingVerticalL:spacings.l,spacingVerticalXL:spacings.xl,spacingVerticalXXL:spacings.xxl,spacingVerticalXXXL:spacings.xxxl},strokeWidths={strokeWidthThin:"1px",strokeWidthThick:"2px",strokeWidthThicker:"3px",strokeWidthThickest:"4px"},tokens={colorNeutralForeground1:"var(--colorNeutralForeground1)",colorNeutralForeground1Hover:"var(--colorNeutralForeground1Hover)",colorNeutralForeground1Pressed:"var(--colorNeutralForeground1Pressed)",colorNeutralForeground1Selected:"var(--colorNeutralForeground1Selected)",colorNeutralForeground2:"var(--colorNeutralForeground2)",colorNeutralForeground2Hover:"var(--colorNeutralForeground2Hover)",colorNeutralForeground2Pressed:"var(--colorNeutralForeground2Pressed)",colorNeutralForeground2Selected:"var(--colorNeutralForeground2Selected)",colorNeutralForeground2BrandHover:"var(--colorNeutralForeground2BrandHover)",colorNeutralForeground2BrandPressed:"var(--colorNeutralForeground2BrandPressed)",colorNeutralForeground2BrandSelected:"var(--colorNeutralForeground2BrandSelected)",colorNeutralForeground3:"var(--colorNeutralForeground3)",colorNeutralForeground3Hover:"var(--colorNeutralForeground3Hover)",colorNeutralForeground3Pressed:"var(--colorNeutralForeground3Pressed)",colorNeutralForeground3Selected:"var(--colorNeutralForeground3Selected)",colorNeutralForeground3BrandHover:"var(--colorNeutralForeground3BrandHover)",colorNeutralForeground3BrandPressed:"var(--colorNeutralForeground3BrandPressed)",colorNeutralForeground3BrandSelected:"var(--colorNeutralForeground3BrandSelected)",colorNeutralForeground4:"var(--colorNeutralForeground4)",colorNeutralForegroundDisabled:"var(--colorNeutralForegroundDisabled)",colorBrandForegroundLink:"var(--colorBrandForegroundLink)",colorBrandForegroundLinkHover:"var(--colorBrandForegroundLinkHover)",colorBrandForegroundLinkPressed:"var(--colorBrandForegroundLinkPressed)",colorBrandForegroundLinkSelected:"var(--colorBrandForegroundLinkSelected)",colorNeutralForeground2Link:"var(--colorNeutralForeground2Link)",colorNeutralForeground2LinkHover:"var(--colorNeutralForeground2LinkHover)",colorNeutralForeground2LinkPressed:"var(--colorNeutralForeground2LinkPressed)",colorNeutralForeground2LinkSelected:"var(--colorNeutralForeground2LinkSelected)",colorCompoundBrandForeground1:"var(--colorCompoundBrandForeground1)",colorCompoundBrandForeground1Hover:"var(--colorCompoundBrandForeground1Hover)",colorCompoundBrandForeground1Pressed:"var(--colorCompoundBrandForeground1Pressed)",colorNeutralForegroundOnBrand:"var(--colorNeutralForegroundOnBrand)",colorNeutralForegroundInverted:"var(--colorNeutralForegroundInverted)",colorNeutralForegroundInvertedHover:"var(--colorNeutralForegroundInvertedHover)",colorNeutralForegroundInvertedPressed:"var(--colorNeutralForegroundInvertedPressed)",colorNeutralForegroundInvertedSelected:"var(--colorNeutralForegroundInvertedSelected)",colorNeutralForegroundInverted2:"var(--colorNeutralForegroundInverted2)",colorNeutralForegroundStaticInverted:"var(--colorNeutralForegroundStaticInverted)",colorNeutralForegroundInvertedLink:"var(--colorNeutralForegroundInvertedLink)",colorNeutralForegroundInvertedLinkHover:"var(--colorNeutralForegroundInvertedLinkHover)",colorNeutralForegroundInvertedLinkPressed:"var(--colorNeutralForegroundInvertedLinkPressed)",colorNeutralForegroundInvertedLinkSelected:"var(--colorNeutralForegroundInvertedLinkSelected)",colorNeutralForegroundInvertedDisabled:"var(--colorNeutralForegroundInvertedDisabled)",colorBrandForeground1:"var(--colorBrandForeground1)",colorBrandForeground2:"var(--colorBrandForeground2)",colorBrandForeground2Hover:"var(--colorBrandForeground2Hover)",colorBrandForeground2Pressed:"var(--colorBrandForeground2Pressed)",colorNeutralForeground1Static:"var(--colorNeutralForeground1Static)",colorBrandForegroundInverted:"var(--colorBrandForegroundInverted)",colorBrandForegroundInvertedHover:"var(--colorBrandForegroundInvertedHover)",colorBrandForegroundInvertedPressed:"var(--colorBrandForegroundInvertedPressed)",colorBrandForegroundOnLight:"var(--colorBrandForegroundOnLight)",colorBrandForegroundOnLightHover:"var(--colorBrandForegroundOnLightHover)",colorBrandForegroundOnLightPressed:"var(--colorBrandForegroundOnLightPressed)",colorBrandForegroundOnLightSelected:"var(--colorBrandForegroundOnLightSelected)",colorNeutralBackground1:"var(--colorNeutralBackground1)",colorNeutralBackground1Hover:"var(--colorNeutralBackground1Hover)",colorNeutralBackground1Pressed:"var(--colorNeutralBackground1Pressed)",colorNeutralBackground1Selected:"var(--colorNeutralBackground1Selected)",colorNeutralBackground2:"var(--colorNeutralBackground2)",colorNeutralBackground2Hover:"var(--colorNeutralBackground2Hover)",colorNeutralBackground2Pressed:"var(--colorNeutralBackground2Pressed)",colorNeutralBackground2Selected:"var(--colorNeutralBackground2Selected)",colorNeutralBackground3:"var(--colorNeutralBackground3)",colorNeutralBackground3Hover:"var(--colorNeutralBackground3Hover)",colorNeutralBackground3Pressed:"var(--colorNeutralBackground3Pressed)",colorNeutralBackground3Selected:"var(--colorNeutralBackground3Selected)",colorNeutralBackground4:"var(--colorNeutralBackground4)",colorNeutralBackground4Hover:"var(--colorNeutralBackground4Hover)",colorNeutralBackground4Pressed:"var(--colorNeutralBackground4Pressed)",colorNeutralBackground4Selected:"var(--colorNeutralBackground4Selected)",colorNeutralBackground5:"var(--colorNeutralBackground5)",colorNeutralBackground5Hover:"var(--colorNeutralBackground5Hover)",colorNeutralBackground5Pressed:"var(--colorNeutralBackground5Pressed)",colorNeutralBackground5Selected:"var(--colorNeutralBackground5Selected)",colorNeutralBackground6:"var(--colorNeutralBackground6)",colorNeutralBackgroundInverted:"var(--colorNeutralBackgroundInverted)",colorNeutralBackgroundStatic:"var(--colorNeutralBackgroundStatic)",colorNeutralBackgroundAlpha:"var(--colorNeutralBackgroundAlpha)",colorNeutralBackgroundAlpha2:"var(--colorNeutralBackgroundAlpha2)",colorSubtleBackground:"var(--colorSubtleBackground)",colorSubtleBackgroundHover:"var(--colorSubtleBackgroundHover)",colorSubtleBackgroundPressed:"var(--colorSubtleBackgroundPressed)",colorSubtleBackgroundSelected:"var(--colorSubtleBackgroundSelected)",colorSubtleBackgroundLightAlphaHover:"var(--colorSubtleBackgroundLightAlphaHover)",colorSubtleBackgroundLightAlphaPressed:"var(--colorSubtleBackgroundLightAlphaPressed)",colorSubtleBackgroundLightAlphaSelected:"var(--colorSubtleBackgroundLightAlphaSelected)",colorSubtleBackgroundInverted:"var(--colorSubtleBackgroundInverted)",colorSubtleBackgroundInvertedHover:"var(--colorSubtleBackgroundInvertedHover)",colorSubtleBackgroundInvertedPressed:"var(--colorSubtleBackgroundInvertedPressed)",colorSubtleBackgroundInvertedSelected:"var(--colorSubtleBackgroundInvertedSelected)",colorTransparentBackground:"var(--colorTransparentBackground)",colorTransparentBackgroundHover:"var(--colorTransparentBackgroundHover)",colorTransparentBackgroundPressed:"var(--colorTransparentBackgroundPressed)",colorTransparentBackgroundSelected:"var(--colorTransparentBackgroundSelected)",colorNeutralBackgroundDisabled:"var(--colorNeutralBackgroundDisabled)",colorNeutralBackgroundInvertedDisabled:"var(--colorNeutralBackgroundInvertedDisabled)",colorNeutralStencil1:"var(--colorNeutralStencil1)",colorNeutralStencil2:"var(--colorNeutralStencil2)",colorNeutralStencil1Alpha:"var(--colorNeutralStencil1Alpha)",colorNeutralStencil2Alpha:"var(--colorNeutralStencil2Alpha)",colorBackgroundOverlay:"var(--colorBackgroundOverlay)",colorScrollbarOverlay:"var(--colorScrollbarOverlay)",colorBrandBackground:"var(--colorBrandBackground)",colorBrandBackgroundHover:"var(--colorBrandBackgroundHover)",colorBrandBackgroundPressed:"var(--colorBrandBackgroundPressed)",colorBrandBackgroundSelected:"var(--colorBrandBackgroundSelected)",colorCompoundBrandBackground:"var(--colorCompoundBrandBackground)",colorCompoundBrandBackgroundHover:"var(--colorCompoundBrandBackgroundHover)",colorCompoundBrandBackgroundPressed:"var(--colorCompoundBrandBackgroundPressed)",colorBrandBackgroundStatic:"var(--colorBrandBackgroundStatic)",colorBrandBackground2:"var(--colorBrandBackground2)",colorBrandBackground2Hover:"var(--colorBrandBackground2Hover)",colorBrandBackground2Pressed:"var(--colorBrandBackground2Pressed)",colorBrandBackgroundInverted:"var(--colorBrandBackgroundInverted)",colorBrandBackgroundInvertedHover:"var(--colorBrandBackgroundInvertedHover)",colorBrandBackgroundInvertedPressed:"var(--colorBrandBackgroundInvertedPressed)",colorBrandBackgroundInvertedSelected:"var(--colorBrandBackgroundInvertedSelected)",colorNeutralStrokeAccessible:"var(--colorNeutralStrokeAccessible)",colorNeutralStrokeAccessibleHover:"var(--colorNeutralStrokeAccessibleHover)",colorNeutralStrokeAccessiblePressed:"var(--colorNeutralStrokeAccessiblePressed)",colorNeutralStrokeAccessibleSelected:"var(--colorNeutralStrokeAccessibleSelected)",colorNeutralStroke1:"var(--colorNeutralStroke1)",colorNeutralStroke1Hover:"var(--colorNeutralStroke1Hover)",colorNeutralStroke1Pressed:"var(--colorNeutralStroke1Pressed)",colorNeutralStroke1Selected:"var(--colorNeutralStroke1Selected)",colorNeutralStroke2:"var(--colorNeutralStroke2)",colorNeutralStroke3:"var(--colorNeutralStroke3)",colorNeutralStrokeSubtle:"var(--colorNeutralStrokeSubtle)",colorNeutralStrokeOnBrand:"var(--colorNeutralStrokeOnBrand)",colorNeutralStrokeOnBrand2:"var(--colorNeutralStrokeOnBrand2)",colorNeutralStrokeOnBrand2Hover:"var(--colorNeutralStrokeOnBrand2Hover)",colorNeutralStrokeOnBrand2Pressed:"var(--colorNeutralStrokeOnBrand2Pressed)",colorNeutralStrokeOnBrand2Selected:"var(--colorNeutralStrokeOnBrand2Selected)",colorBrandStroke1:"var(--colorBrandStroke1)",colorBrandStroke2:"var(--colorBrandStroke2)",colorBrandStroke2Hover:"var(--colorBrandStroke2Hover)",colorBrandStroke2Pressed:"var(--colorBrandStroke2Pressed)",colorBrandStroke2Contrast:"var(--colorBrandStroke2Contrast)",colorCompoundBrandStroke:"var(--colorCompoundBrandStroke)",colorCompoundBrandStrokeHover:"var(--colorCompoundBrandStrokeHover)",colorCompoundBrandStrokePressed:"var(--colorCompoundBrandStrokePressed)",colorNeutralStrokeDisabled:"var(--colorNeutralStrokeDisabled)",colorNeutralStrokeInvertedDisabled:"var(--colorNeutralStrokeInvertedDisabled)",colorTransparentStroke:"var(--colorTransparentStroke)",colorTransparentStrokeInteractive:"var(--colorTransparentStrokeInteractive)",colorTransparentStrokeDisabled:"var(--colorTransparentStrokeDisabled)",colorNeutralStrokeAlpha:"var(--colorNeutralStrokeAlpha)",colorNeutralStrokeAlpha2:"var(--colorNeutralStrokeAlpha2)",colorStrokeFocus1:"var(--colorStrokeFocus1)",colorStrokeFocus2:"var(--colorStrokeFocus2)",colorNeutralShadowAmbient:"var(--colorNeutralShadowAmbient)",colorNeutralShadowKey:"var(--colorNeutralShadowKey)",colorNeutralShadowAmbientLighter:"var(--colorNeutralShadowAmbientLighter)",colorNeutralShadowKeyLighter:"var(--colorNeutralShadowKeyLighter)",colorNeutralShadowAmbientDarker:"var(--colorNeutralShadowAmbientDarker)",colorNeutralShadowKeyDarker:"var(--colorNeutralShadowKeyDarker)",colorBrandShadowAmbient:"var(--colorBrandShadowAmbient)",colorBrandShadowKey:"var(--colorBrandShadowKey)",colorPaletteRedBackground1:"var(--colorPaletteRedBackground1)",colorPaletteRedBackground2:"var(--colorPaletteRedBackground2)",colorPaletteRedBackground3:"var(--colorPaletteRedBackground3)",colorPaletteRedBorderActive:"var(--colorPaletteRedBorderActive)",colorPaletteRedBorder1:"var(--colorPaletteRedBorder1)",colorPaletteRedBorder2:"var(--colorPaletteRedBorder2)",colorPaletteRedForeground1:"var(--colorPaletteRedForeground1)",colorPaletteRedForeground2:"var(--colorPaletteRedForeground2)",colorPaletteRedForeground3:"var(--colorPaletteRedForeground3)",colorPaletteRedForegroundInverted:"var(--colorPaletteRedForegroundInverted)",colorPaletteGreenBackground1:"var(--colorPaletteGreenBackground1)",colorPaletteGreenBackground2:"var(--colorPaletteGreenBackground2)",colorPaletteGreenBackground3:"var(--colorPaletteGreenBackground3)",colorPaletteGreenBorderActive:"var(--colorPaletteGreenBorderActive)",colorPaletteGreenBorder1:"var(--colorPaletteGreenBorder1)",colorPaletteGreenBorder2:"var(--colorPaletteGreenBorder2)",colorPaletteGreenForeground1:"var(--colorPaletteGreenForeground1)",colorPaletteGreenForeground2:"var(--colorPaletteGreenForeground2)",colorPaletteGreenForeground3:"var(--colorPaletteGreenForeground3)",colorPaletteGreenForegroundInverted:"var(--colorPaletteGreenForegroundInverted)",colorPaletteDarkOrangeBackground1:"var(--colorPaletteDarkOrangeBackground1)",colorPaletteDarkOrangeBackground2:"var(--colorPaletteDarkOrangeBackground2)",colorPaletteDarkOrangeBackground3:"var(--colorPaletteDarkOrangeBackground3)",colorPaletteDarkOrangeBorderActive:"var(--colorPaletteDarkOrangeBorderActive)",colorPaletteDarkOrangeBorder1:"var(--colorPaletteDarkOrangeBorder1)",colorPaletteDarkOrangeBorder2:"var(--colorPaletteDarkOrangeBorder2)",colorPaletteDarkOrangeForeground1:"var(--colorPaletteDarkOrangeForeground1)",colorPaletteDarkOrangeForeground2:"var(--colorPaletteDarkOrangeForeground2)",colorPaletteDarkOrangeForeground3:"var(--colorPaletteDarkOrangeForeground3)",colorPaletteYellowBackground1:"var(--colorPaletteYellowBackground1)",colorPaletteYellowBackground2:"var(--colorPaletteYellowBackground2)",colorPaletteYellowBackground3:"var(--colorPaletteYellowBackground3)",colorPaletteYellowBorderActive:"var(--colorPaletteYellowBorderActive)",colorPaletteYellowBorder1:"var(--colorPaletteYellowBorder1)",colorPaletteYellowBorder2:"var(--colorPaletteYellowBorder2)",colorPaletteYellowForeground1:"var(--colorPaletteYellowForeground1)",colorPaletteYellowForeground2:"var(--colorPaletteYellowForeground2)",colorPaletteYellowForeground3:"var(--colorPaletteYellowForeground3)",colorPaletteYellowForegroundInverted:"var(--colorPaletteYellowForegroundInverted)",colorPaletteBerryBackground1:"var(--colorPaletteBerryBackground1)",colorPaletteBerryBackground2:"var(--colorPaletteBerryBackground2)",colorPaletteBerryBackground3:"var(--colorPaletteBerryBackground3)",colorPaletteBerryBorderActive:"var(--colorPaletteBerryBorderActive)",colorPaletteBerryBorder1:"var(--colorPaletteBerryBorder1)",colorPaletteBerryBorder2:"var(--colorPaletteBerryBorder2)",colorPaletteBerryForeground1:"var(--colorPaletteBerryForeground1)",colorPaletteBerryForeground2:"var(--colorPaletteBerryForeground2)",colorPaletteBerryForeground3:"var(--colorPaletteBerryForeground3)",colorPaletteMarigoldBackground1:"var(--colorPaletteMarigoldBackground1)",colorPaletteMarigoldBackground2:"var(--colorPaletteMarigoldBackground2)",colorPaletteMarigoldBackground3:"var(--colorPaletteMarigoldBackground3)",colorPaletteMarigoldBorderActive:"var(--colorPaletteMarigoldBorderActive)",colorPaletteMarigoldBorder1:"var(--colorPaletteMarigoldBorder1)",colorPaletteMarigoldBorder2:"var(--colorPaletteMarigoldBorder2)",colorPaletteMarigoldForeground1:"var(--colorPaletteMarigoldForeground1)",colorPaletteMarigoldForeground2:"var(--colorPaletteMarigoldForeground2)",colorPaletteMarigoldForeground3:"var(--colorPaletteMarigoldForeground3)",colorPaletteLightGreenBackground1:"var(--colorPaletteLightGreenBackground1)",colorPaletteLightGreenBackground2:"var(--colorPaletteLightGreenBackground2)",colorPaletteLightGreenBackground3:"var(--colorPaletteLightGreenBackground3)",colorPaletteLightGreenBorderActive:"var(--colorPaletteLightGreenBorderActive)",colorPaletteLightGreenBorder1:"var(--colorPaletteLightGreenBorder1)",colorPaletteLightGreenBorder2:"var(--colorPaletteLightGreenBorder2)",colorPaletteLightGreenForeground1:"var(--colorPaletteLightGreenForeground1)",colorPaletteLightGreenForeground2:"var(--colorPaletteLightGreenForeground2)",colorPaletteLightGreenForeground3:"var(--colorPaletteLightGreenForeground3)",colorPaletteAnchorBackground2:"var(--colorPaletteAnchorBackground2)",colorPaletteAnchorBorderActive:"var(--colorPaletteAnchorBorderActive)",colorPaletteAnchorForeground2:"var(--colorPaletteAnchorForeground2)",colorPaletteBeigeBackground2:"var(--colorPaletteBeigeBackground2)",colorPaletteBeigeBorderActive:"var(--colorPaletteBeigeBorderActive)",colorPaletteBeigeForeground2:"var(--colorPaletteBeigeForeground2)",colorPaletteBlueBackground2:"var(--colorPaletteBlueBackground2)",colorPaletteBlueBorderActive:"var(--colorPaletteBlueBorderActive)",colorPaletteBlueForeground2:"var(--colorPaletteBlueForeground2)",colorPaletteBrassBackground2:"var(--colorPaletteBrassBackground2)",colorPaletteBrassBorderActive:"var(--colorPaletteBrassBorderActive)",colorPaletteBrassForeground2:"var(--colorPaletteBrassForeground2)",colorPaletteBrownBackground2:"var(--colorPaletteBrownBackground2)",colorPaletteBrownBorderActive:"var(--colorPaletteBrownBorderActive)",colorPaletteBrownForeground2:"var(--colorPaletteBrownForeground2)",colorPaletteCornflowerBackground2:"var(--colorPaletteCornflowerBackground2)",colorPaletteCornflowerBorderActive:"var(--colorPaletteCornflowerBorderActive)",colorPaletteCornflowerForeground2:"var(--colorPaletteCornflowerForeground2)",colorPaletteCranberryBackground2:"var(--colorPaletteCranberryBackground2)",colorPaletteCranberryBorderActive:"var(--colorPaletteCranberryBorderActive)",colorPaletteCranberryForeground2:"var(--colorPaletteCranberryForeground2)",colorPaletteDarkGreenBackground2:"var(--colorPaletteDarkGreenBackground2)",colorPaletteDarkGreenBorderActive:"var(--colorPaletteDarkGreenBorderActive)",colorPaletteDarkGreenForeground2:"var(--colorPaletteDarkGreenForeground2)",colorPaletteDarkRedBackground2:"var(--colorPaletteDarkRedBackground2)",colorPaletteDarkRedBorderActive:"var(--colorPaletteDarkRedBorderActive)",colorPaletteDarkRedForeground2:"var(--colorPaletteDarkRedForeground2)",colorPaletteForestBackground2:"var(--colorPaletteForestBackground2)",colorPaletteForestBorderActive:"var(--colorPaletteForestBorderActive)",colorPaletteForestForeground2:"var(--colorPaletteForestForeground2)",colorPaletteGoldBackground2:"var(--colorPaletteGoldBackground2)",colorPaletteGoldBorderActive:"var(--colorPaletteGoldBorderActive)",colorPaletteGoldForeground2:"var(--colorPaletteGoldForeground2)",colorPaletteGrapeBackground2:"var(--colorPaletteGrapeBackground2)",colorPaletteGrapeBorderActive:"var(--colorPaletteGrapeBorderActive)",colorPaletteGrapeForeground2:"var(--colorPaletteGrapeForeground2)",colorPaletteLavenderBackground2:"var(--colorPaletteLavenderBackground2)",colorPaletteLavenderBorderActive:"var(--colorPaletteLavenderBorderActive)",colorPaletteLavenderForeground2:"var(--colorPaletteLavenderForeground2)",colorPaletteLightTealBackground2:"var(--colorPaletteLightTealBackground2)",colorPaletteLightTealBorderActive:"var(--colorPaletteLightTealBorderActive)",colorPaletteLightTealForeground2:"var(--colorPaletteLightTealForeground2)",colorPaletteLilacBackground2:"var(--colorPaletteLilacBackground2)",colorPaletteLilacBorderActive:"var(--colorPaletteLilacBorderActive)",colorPaletteLilacForeground2:"var(--colorPaletteLilacForeground2)",colorPaletteMagentaBackground2:"var(--colorPaletteMagentaBackground2)",colorPaletteMagentaBorderActive:"var(--colorPaletteMagentaBorderActive)",colorPaletteMagentaForeground2:"var(--colorPaletteMagentaForeground2)",colorPaletteMinkBackground2:"var(--colorPaletteMinkBackground2)",colorPaletteMinkBorderActive:"var(--colorPaletteMinkBorderActive)",colorPaletteMinkForeground2:"var(--colorPaletteMinkForeground2)",colorPaletteNavyBackground2:"var(--colorPaletteNavyBackground2)",colorPaletteNavyBorderActive:"var(--colorPaletteNavyBorderActive)",colorPaletteNavyForeground2:"var(--colorPaletteNavyForeground2)",colorPalettePeachBackground2:"var(--colorPalettePeachBackground2)",colorPalettePeachBorderActive:"var(--colorPalettePeachBorderActive)",colorPalettePeachForeground2:"var(--colorPalettePeachForeground2)",colorPalettePinkBackground2:"var(--colorPalettePinkBackground2)",colorPalettePinkBorderActive:"var(--colorPalettePinkBorderActive)",colorPalettePinkForeground2:"var(--colorPalettePinkForeground2)",colorPalettePlatinumBackground2:"var(--colorPalettePlatinumBackground2)",colorPalettePlatinumBorderActive:"var(--colorPalettePlatinumBorderActive)",colorPalettePlatinumForeground2:"var(--colorPalettePlatinumForeground2)",colorPalettePlumBackground2:"var(--colorPalettePlumBackground2)",colorPalettePlumBorderActive:"var(--colorPalettePlumBorderActive)",colorPalettePlumForeground2:"var(--colorPalettePlumForeground2)",colorPalettePumpkinBackground2:"var(--colorPalettePumpkinBackground2)",colorPalettePumpkinBorderActive:"var(--colorPalettePumpkinBorderActive)",colorPalettePumpkinForeground2:"var(--colorPalettePumpkinForeground2)",colorPalettePurpleBackground2:"var(--colorPalettePurpleBackground2)",colorPalettePurpleBorderActive:"var(--colorPalettePurpleBorderActive)",colorPalettePurpleForeground2:"var(--colorPalettePurpleForeground2)",colorPaletteRoyalBlueBackground2:"var(--colorPaletteRoyalBlueBackground2)",colorPaletteRoyalBlueBorderActive:"var(--colorPaletteRoyalBlueBorderActive)",colorPaletteRoyalBlueForeground2:"var(--colorPaletteRoyalBlueForeground2)",colorPaletteSeafoamBackground2:"var(--colorPaletteSeafoamBackground2)",colorPaletteSeafoamBorderActive:"var(--colorPaletteSeafoamBorderActive)",colorPaletteSeafoamForeground2:"var(--colorPaletteSeafoamForeground2)",colorPaletteSteelBackground2:"var(--colorPaletteSteelBackground2)",colorPaletteSteelBorderActive:"var(--colorPaletteSteelBorderActive)",colorPaletteSteelForeground2:"var(--colorPaletteSteelForeground2)",colorPaletteTealBackground2:"var(--colorPaletteTealBackground2)",colorPaletteTealBorderActive:"var(--colorPaletteTealBorderActive)",colorPaletteTealForeground2:"var(--colorPaletteTealForeground2)",colorStatusSuccessBackground1:"var(--colorStatusSuccessBackground1)",colorStatusSuccessBackground2:"var(--colorStatusSuccessBackground2)",colorStatusSuccessBackground3:"var(--colorStatusSuccessBackground3)",colorStatusSuccessForeground1:"var(--colorStatusSuccessForeground1)",colorStatusSuccessForeground2:"var(--colorStatusSuccessForeground2)",colorStatusSuccessForeground3:"var(--colorStatusSuccessForeground3)",colorStatusSuccessForegroundInverted:"var(--colorStatusSuccessForegroundInverted)",colorStatusSuccessBorderActive:"var(--colorStatusSuccessBorderActive)",colorStatusSuccessBorder1:"var(--colorStatusSuccessBorder1)",colorStatusSuccessBorder2:"var(--colorStatusSuccessBorder2)",colorStatusWarningBackground1:"var(--colorStatusWarningBackground1)",colorStatusWarningBackground2:"var(--colorStatusWarningBackground2)",colorStatusWarningBackground3:"var(--colorStatusWarningBackground3)",colorStatusWarningForeground1:"var(--colorStatusWarningForeground1)",colorStatusWarningForeground2:"var(--colorStatusWarningForeground2)",colorStatusWarningForeground3:"var(--colorStatusWarningForeground3)",colorStatusWarningForegroundInverted:"var(--colorStatusWarningForegroundInverted)",colorStatusWarningBorderActive:"var(--colorStatusWarningBorderActive)",colorStatusWarningBorder1:"var(--colorStatusWarningBorder1)",colorStatusWarningBorder2:"var(--colorStatusWarningBorder2)",colorStatusDangerBackground1:"var(--colorStatusDangerBackground1)",colorStatusDangerBackground2:"var(--colorStatusDangerBackground2)",colorStatusDangerBackground3:"var(--colorStatusDangerBackground3)",colorStatusDangerForeground1:"var(--colorStatusDangerForeground1)",colorStatusDangerForeground2:"var(--colorStatusDangerForeground2)",colorStatusDangerForeground3:"var(--colorStatusDangerForeground3)",colorStatusDangerForegroundInverted:"var(--colorStatusDangerForegroundInverted)",colorStatusDangerBorderActive:"var(--colorStatusDangerBorderActive)",colorStatusDangerBorder1:"var(--colorStatusDangerBorder1)",colorStatusDangerBorder2:"var(--colorStatusDangerBorder2)",borderRadiusNone:"var(--borderRadiusNone)",borderRadiusSmall:"var(--borderRadiusSmall)",borderRadiusMedium:"var(--borderRadiusMedium)",borderRadiusLarge:"var(--borderRadiusLarge)",borderRadiusXLarge:"var(--borderRadiusXLarge)",borderRadiusCircular:"var(--borderRadiusCircular)",fontFamilyBase:"var(--fontFamilyBase)",fontFamilyMonospace:"var(--fontFamilyMonospace)",fontFamilyNumeric:"var(--fontFamilyNumeric)",fontSizeBase100:"var(--fontSizeBase100)",fontSizeBase200:"var(--fontSizeBase200)",fontSizeBase300:"var(--fontSizeBase300)",fontSizeBase400:"var(--fontSizeBase400)",fontSizeBase500:"var(--fontSizeBase500)",fontSizeBase600:"var(--fontSizeBase600)",fontSizeHero700:"var(--fontSizeHero700)",fontSizeHero800:"var(--fontSizeHero800)",fontSizeHero900:"var(--fontSizeHero900)",fontSizeHero1000:"var(--fontSizeHero1000)",fontWeightRegular:"var(--fontWeightRegular)",fontWeightMedium:"var(--fontWeightMedium)",fontWeightSemibold:"var(--fontWeightSemibold)",fontWeightBold:"var(--fontWeightBold)",lineHeightBase100:"var(--lineHeightBase100)",lineHeightBase200:"var(--lineHeightBase200)",lineHeightBase300:"var(--lineHeightBase300)",lineHeightBase400:"var(--lineHeightBase400)",lineHeightBase500:"var(--lineHeightBase500)",lineHeightBase600:"var(--lineHeightBase600)",lineHeightHero700:"var(--lineHeightHero700)",lineHeightHero800:"var(--lineHeightHero800)",lineHeightHero900:"var(--lineHeightHero900)",lineHeightHero1000:"var(--lineHeightHero1000)",shadow2:"var(--shadow2)",shadow4:"var(--shadow4)",shadow8:"var(--shadow8)",shadow16:"var(--shadow16)",shadow28:"var(--shadow28)",shadow64:"var(--shadow64)",shadow2Brand:"var(--shadow2Brand)",shadow4Brand:"var(--shadow4Brand)",shadow8Brand:"var(--shadow8Brand)",shadow16Brand:"var(--shadow16Brand)",shadow28Brand:"var(--shadow28Brand)",shadow64Brand:"var(--shadow64Brand)",strokeWidthThin:"var(--strokeWidthThin)",strokeWidthThick:"var(--strokeWidthThick)",strokeWidthThicker:"var(--strokeWidthThicker)",strokeWidthThickest:"var(--strokeWidthThickest)",spacingHorizontalNone:"var(--spacingHorizontalNone)",spacingHorizontalXXS:"var(--spacingHorizontalXXS)",spacingHorizontalXS:"var(--spacingHorizontalXS)",spacingHorizontalSNudge:"var(--spacingHorizontalSNudge)",spacingHorizontalS:"var(--spacingHorizontalS)",spacingHorizontalMNudge:"var(--spacingHorizontalMNudge)",spacingHorizontalM:"var(--spacingHorizontalM)",spacingHorizontalL:"var(--spacingHorizontalL)",spacingHorizontalXL:"var(--spacingHorizontalXL)",spacingHorizontalXXL:"var(--spacingHorizontalXXL)",spacingHorizontalXXXL:"var(--spacingHorizontalXXXL)",spacingVerticalNone:"var(--spacingVerticalNone)",spacingVerticalXXS:"var(--spacingVerticalXXS)",spacingVerticalXS:"var(--spacingVerticalXS)",spacingVerticalSNudge:"var(--spacingVerticalSNudge)",spacingVerticalS:"var(--spacingVerticalS)",spacingVerticalMNudge:"var(--spacingVerticalMNudge)",spacingVerticalM:"var(--spacingVerticalM)",spacingVerticalL:"var(--spacingVerticalL)",spacingVerticalXL:"var(--spacingVerticalXL)",spacingVerticalXXL:"var(--spacingVerticalXXL)",spacingVerticalXXXL:"var(--spacingVerticalXXXL)",durationUltraFast:"var(--durationUltraFast)",durationFaster:"var(--durationFaster)",durationFast:"var(--durationFast)",durationNormal:"var(--durationNormal)",durationGentle:"var(--durationGentle)",durationSlow:"var(--durationSlow)",durationSlower:"var(--durationSlower)",durationUltraSlow:"var(--durationUltraSlow)",curveAccelerateMax:"var(--curveAccelerateMax)",curveAccelerateMid:"var(--curveAccelerateMid)",curveAccelerateMin:"var(--curveAccelerateMin)",curveDecelerateMax:"var(--curveDecelerateMax)",curveDecelerateMid:"var(--curveDecelerateMid)",curveDecelerateMin:"var(--curveDecelerateMin)",curveEasyEaseMax:"var(--curveEasyEaseMax)",curveEasyEase:"var(--curveEasyEase)",curveLinear:"var(--curveLinear)"};function createShadowTokens(S,C,R=""){return{[`shadow2${R}`]:`0 0 2px ${S}, 0 1px 2px ${C}`,[`shadow4${R}`]:`0 0 2px ${S}, 0 2px 4px ${C}`,[`shadow8${R}`]:`0 0 2px ${S}, 0 4px 8px ${C}`,[`shadow16${R}`]:`0 0 2px ${S}, 0 8px 16px ${C}`,[`shadow28${R}`]:`0 0 8px ${S}, 0 14px 28px ${C}`,[`shadow64${R}`]:`0 0 8px ${S}, 0 32px 64px ${C}`}}const createLightTheme=S=>{const C=generateColorTokens$1(S);return{...borderRadius,...fontSizes,...lineHeights,...fontFamilies,...fontWeights,...strokeWidths,...horizontalSpacings,...verticalSpacings,...durations,...curves,...C,...colorPaletteTokens$1,...colorStatusTokens$1,...createShadowTokens(C.colorNeutralShadowAmbient,C.colorNeutralShadowKey),...createShadowTokens(C.colorBrandShadowAmbient,C.colorBrandShadowKey,"Brand")}},brandWeb={10:"#061724",20:"#082338",30:"#0a2e4a",40:"#0c3b5e",50:"#0e4775",60:"#0f548c",70:"#115ea3",80:"#0f6cbd",90:"#2886de",100:"#479ef5",110:"#62abf5",120:"#77b7f7",130:"#96c6fa",140:"#b4d6fa",150:"#cfe4fa",160:"#ebf3fc"},statusColorPaletteTokens=statusSharedColorNames.reduce((S,C)=>{const R=C.slice(0,1).toUpperCase()+C.slice(1),O={[`colorPalette${R}Background1`]:statusSharedColors[C].shade40,[`colorPalette${R}Background2`]:statusSharedColors[C].shade30,[`colorPalette${R}Background3`]:statusSharedColors[C].primary,[`colorPalette${R}Foreground1`]:statusSharedColors[C].tint30,[`colorPalette${R}Foreground2`]:statusSharedColors[C].tint40,[`colorPalette${R}Foreground3`]:statusSharedColors[C].tint20,[`colorPalette${R}BorderActive`]:statusSharedColors[C].tint30,[`colorPalette${R}Border1`]:statusSharedColors[C].primary,[`colorPalette${R}Border2`]:statusSharedColors[C].tint20};return Object.assign(S,O)},{});statusColorPaletteTokens.colorPaletteRedForeground3=statusSharedColors.red.tint30,statusColorPaletteTokens.colorPaletteRedBorder2=statusSharedColors.red.tint30,statusColorPaletteTokens.colorPaletteGreenForeground3=statusSharedColors.green.tint40,statusColorPaletteTokens.colorPaletteGreenBorder2=statusSharedColors.green.tint40,statusColorPaletteTokens.colorPaletteDarkOrangeForeground3=statusSharedColors.darkOrange.tint30,statusColorPaletteTokens.colorPaletteDarkOrangeBorder2=statusSharedColors.darkOrange.tint30,statusColorPaletteTokens.colorPaletteRedForegroundInverted=statusSharedColors.red.primary,statusColorPaletteTokens.colorPaletteGreenForegroundInverted=statusSharedColors.green.primary,statusColorPaletteTokens.colorPaletteYellowForegroundInverted=statusSharedColors.yellow.shade30;const personaColorPaletteTokens=personaSharedColorNames.reduce((S,C)=>{const R=C.slice(0,1).toUpperCase()+C.slice(1),O={[`colorPalette${R}Background2`]:personaSharedColors[C].shade30,[`colorPalette${R}Foreground2`]:personaSharedColors[C].tint40,[`colorPalette${R}BorderActive`]:personaSharedColors[C].tint30};return Object.assign(S,O)},{});personaColorPaletteTokens.colorPaletteDarkRedBackground2=personaSharedColors.darkRed.shade20,personaColorPaletteTokens.colorPalettePlumBackground2=personaSharedColors.plum.shade20;const colorPaletteTokens={...statusColorPaletteTokens,...personaColorPaletteTokens},colorStatusTokens=Object.entries(statusColorMapping).reduce((S,[C,R])=>{const O=C.slice(0,1).toUpperCase()+C.slice(1),I={[`colorStatus${O}Background1`]:mappedStatusColors[R].shade40,[`colorStatus${O}Background2`]:mappedStatusColors[R].shade30,[`colorStatus${O}Background3`]:mappedStatusColors[R].primary,[`colorStatus${O}Foreground1`]:mappedStatusColors[R].tint30,[`colorStatus${O}Foreground2`]:mappedStatusColors[R].tint40,[`colorStatus${O}Foreground3`]:mappedStatusColors[R].tint20,[`colorStatus${O}BorderActive`]:mappedStatusColors[R].tint30,[`colorStatus${O}ForegroundInverted`]:mappedStatusColors[R].shade10,[`colorStatus${O}Border1`]:mappedStatusColors[R].primary,[`colorStatus${O}Border2`]:mappedStatusColors[R].tint20};return Object.assign(S,I)},{});colorStatusTokens.colorStatusDangerForeground3=mappedStatusColors[statusColorMapping.danger].tint30,colorStatusTokens.colorStatusDangerBorder2=mappedStatusColors[statusColorMapping.danger].tint30,colorStatusTokens.colorStatusSuccessForeground3=mappedStatusColors[statusColorMapping.success].tint40,colorStatusTokens.colorStatusSuccessBorder2=mappedStatusColors[statusColorMapping.success].tint40,colorStatusTokens.colorStatusWarningForegroundInverted=mappedStatusColors[statusColorMapping.warning].shade20;const 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lStroke1Selected:grey[44],colorNeutralStroke2:grey[32],colorNeutralStroke3:grey[24],colorNeutralStrokeSubtle:grey[4],colorNeutralStrokeOnBrand:grey[16],colorNeutralStrokeOnBrand2:white,colorNeutralStrokeOnBrand2Hover:white,colorNeutralStrokeOnBrand2Pressed:white,colorNeutralStrokeOnBrand2Selected:white,colorBrandStroke1:S[100],colorBrandStroke2:S[50],colorBrandStroke2Hover:S[50],colorBrandStroke2Pressed:S[30],colorBrandStroke2Contrast:S[50],colorCompoundBrandStroke:S[100],colorCompoundBrandStrokeHover:S[110],colorCompoundBrandStrokePressed:S[90],colorNeutralStrokeDisabled:grey[26],colorNeutralStrokeInvertedDisabled:whiteAlpha[40],colorTransparentStroke:"transparent",colorTransparentStrokeInteractive:"transparent",colorTransparentStrokeDisabled:"transparent",colorNeutralStrokeAlpha:whiteAlpha[10],colorNeutralStrokeAlpha2:whiteAlpha[20],colorStrokeFocus1:black,colorStrokeFocus2:white,colorNeutralShadowAmbient:"rgba(0,0,0,0.24)",colorNeutralShadowKey:"rgba(0,0,0,0.28)",colorNeutralShadowAmbientLighter:"rgba(0,0,0,0.12)",colorNeutralShadowKeyLighter:"rgba(0,0,0,0.14)",colorNeutralShadowAmbientDarker:"rgba(0,0,0,0.40)",colorNeutralShadowKeyDarker:"rgba(0,0,0,0.48)",colorBrandShadowAmbient:"rgba(0,0,0,0.30)",colorBrandShadowKey:"rgba(0,0,0,0.25)"}),createDarkTheme=S=>{const 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0),{Provider:AccordionHeaderProvider}=AccordionHeaderContext,renderAccordionHeader_unstable=(S,C)=>(assertSlots(S),jsx$1(AccordionHeaderProvider,{value:C.accordionHeader,children:jsx$1(S.root,{children:jsxs(S.button,{children:[S.expandIconPosition==="start"&&S.expandIcon&&jsx$1(S.expandIcon,{}),S.icon&&jsx$1(S.icon,{}),S.root.children,S.expandIconPosition==="end"&&S.expandIcon&&jsx$1(S.expandIcon,{})]})})})),accordionHeaderClassNames={root:"fui-AccordionHeader",button:"fui-AccordionHeader__button",expandIcon:"fui-AccordionHeader__expandIcon",icon:"fui-AccordionHeader__icon"},useStyles$u=__styles({resetButton:{B7ck84d:"f1e4lqlz",De3pzq:"f1u2r49w",sj55zd:"f1ym3bx4",Bahqtrf:"f1mo0ibp",Be2twd7:"fjoy568",Bg96gwp:"fytdu2e",B68tc82:"f1mtd64y",Bmxbyg5:"f1y7q3j9",z8tnut:"f1g0x7ka",z189sj:["fhxju0i","f1cnd47f"],Byoj8tv:"f1qch9an",uwmqm3:["f1cnd47f","fhxju0i"],Bv0vk6g:"f37px4s",fsow6f:"fgusgyc"},focusIndicator:{Brovlpu:"ftqa4ok",B486eqv:"f2hkw1w",B8q5s1w:"f8hki3x",Bci5o5g:["f1d2448m","ffh67wi"],n8qw10:"f1bjia2o",Bdrgwmp:["ffh67wi","f1d2448m"],Bb7d1vk:"f226i61",zhwhgb:["f13kzufm","fsx75g8"],dhy2o1:"flujwa2",Gfyso:["fsx75g8","f13kzufm"],Bm4h7ae:"f15bsgw9",B7ys5i9:"f14e48fq",Busjfv9:"f18yb2kv",Bhk32uz:"fd6o370",Bf4ptjt:"fh1cnn4",kclons:["fy7oxxb","f184ne2d"],Bhdgwq3:"fpukqih",Blkhhs4:["f184ne2d","fy7oxxb"],Bqtpl0w:"frrh606",clg4pj:["f1v5zibi","fo2hd23"],hgwjuy:"ful5kiu",Bonggc9:["fo2hd23","f1v5zibi"],B1tsrr9:["f1jqcqds","ftffrms"],Dah5zi:["ftffrms","f1jqcqds"],Bkh64rk:["f2e7qr6","fsr1zz6"],qqdqy8:["fsr1zz6","f2e7qr6"],B6dhp37:"f1dvezut",i03rao:["fd0oaoj","f1cwg4i8"],Boxcth7:"fjvm52t",Bsom6fd:["f1cwg4i8","fd0oaoj"],J0r882:"f57olzd",Bule8hv:["f4stah7","fs1por5"],Bjwuhne:"f480a47",Ghsupd:["fs1por5","f4stah7"]},root:{sj55zd:"f19n0e5",De3pzq:"f1c21dwh",B6of3ja:"f1hu3pq6",t21cq0:["f11qmguv","f1tyq0we"],jrapky:"f19f4twv",Frg6f3:["f1tyq0we","f11qmguv"],Bbmb7ep:["f1aa9q02","f16jpd5f"],Beyfa6y:["f16jpd5f","f1aa9q02"],B7oj6ja:["f1jar5jt","fyu767a"],Btl43ni:["fyu767a","f1jar5jt"]},rootDisabled:{Bcmaq0h:"fwrgwhw",sj55zd:"f1s2aq7o"},rootInline:{mc9l5x:"f14t3ns0"},button:{qhf8xq:"f10pi13n",a9b677:"fly5x3f",B4j52fo:"f5ogflp",Bekrc4i:["f1hqa2wf","finvdd3"],Bn0qgzm:"f1f09k3d",ibv6hh:["finvdd3","f1hqa2wf"],icvyot:"fzkkow9",vrafjx:["fcdblym","fjik90z"],oivjwe:"fg706s2",wvpqe5:["fjik90z","fcdblym"],g2u3we:"f1p3nwhy",h3c5rm:["f11589ue","f1pdflbu"],B9xav0g:"f1q5o8ev",zhjwy3:["f1pdflbu","f11589ue"],z8tnut:"f1g0x7ka",z189sj:["fw5db7e","f1uw59to"],Byoj8tv:"f1qch9an",uwmqm3:["f1ng84yb","f11gcy0p"],sshi5w:"f5pgtk9",mc9l5x:"f22iagw",Bt984gj:"f122n59",Bceei9c:"f1k6fduh",Bahqtrf:"fk6fouc",Be2twd7:"fkhj508",Bhrd7zp:"figsok6",Bg96gwp:"f1i3iumi",B7ck84d:"f1ewtqcl"},buttonSmall:{sshi5w:"f1nxs5xn",Be2twd7:"fy9rknc"},buttonLarge:{Bg96gwp:"faaz57k",Be2twd7:"fod5ikn"},buttonExtraLarge:{Bg96gwp:"f106mvju",Be2twd7:"f1pp30po"},buttonInline:{mc9l5x:"ftuwxu6"},buttonExpandIconEndNoIcon:{uwmqm3:["f1uw59to","fw5db7e"]},buttonExpandIconEnd:{z189sj:["f11gcy0p","f1ng84yb"]},buttonDisabled:{Bceei9c:"fdrzuqr"},expandIcon:{Bqenvij:"f1l02sjl",mc9l5x:"f22iagw",Bt984gj:"f122n59",Bg96gwp:"f106mvju",Be2twd7:"f1pp30po"},expandIconStart:{z189sj:["f1vdfbxk","f1f5gg8d"]},expandIconEnd:{Bh6795r:"fqerorx",Bnnss6s:"f1neuvcm",xawz:"flqd7gy",mc9l5x:"f22iagw",Brf1p80:"f9c4gz4",uwmqm3:["f1f5gg8d","f1vdfbxk"]},icon:{Bqenvij:"f1l02sjl",mc9l5x:"f22iagw",Bt984gj:"f122n59",z189sj:["f1vdfbxk","f1f5gg8d"],Bg96gwp:"f106mvju",Be2twd7:"f1pp30po"}},{d:[".f1e4lqlz{box-sizing:content-box;}",".f1u2r49w{background-color:inherit;}",".f1ym3bx4{color:inherit;}",".f1mo0ibp{font-family:inherit;}",".fjoy568{font-size:inherit;}",".fytdu2e{line-height:normal;}",".f1mtd64y{overflow-x:visible;}",".f1y7q3j9{overflow-y:visible;}",".f1g0x7ka{padding-top:0;}",".fhxju0i{padding-right:0;}",".f1cnd47f{padding-left:0;}",".f1qch9an{padding-bottom:0;}",".f37px4s{-webkit-appearance:button;}",".fgusgyc{text-align:unset;}",".f8hki3x[data-fui-focus-visible]{border-top-color:transparent;}",".f1d2448m[data-fui-focus-visible]{border-right-color:transparent;}",".ffh67wi[data-fui-focus-visible]{border-left-color:transparent;}",".f1bjia2o[data-fui-focus-visible]{border-bottom-color:transparent;}",'.f15bsgw9[data-fui-focus-visible]::after{content:"";}',".f14e48fq[data-fui-focus-visible]::after{position:absolute;}",".f18yb2kv[data-fui-focus-visible]::after{pointer-events:none;}",".fd6o370[data-fui-focus-visible]::after{z-index:1;}",".fh1cnn4[data-fui-focus-visible]::after{border-top-style:solid;}",".fy7oxxb[data-fui-focus-visible]::after{border-right-style:solid;}",".f184ne2d[data-fui-focus-visible]::after{border-left-style:solid;}",".fpukqih[data-fui-focus-visible]::after{border-bottom-style:solid;}",".frrh606[data-fui-focus-visible]::after{border-top-width:2px;}",".f1v5zibi[data-fui-focus-visible]::after{border-right-width:2px;}",".fo2hd23[data-fui-focus-visible]::after{border-left-width:2px;}",".ful5kiu[data-fui-focus-visible]::after{border-bottom-width:2px;}",".f1jqcqds[data-fui-focus-visible]::after{border-bottom-right-radius:var(--borderRadiusMedium);}",".ftffrms[data-fui-focus-visible]::after{border-bottom-left-radius:var(--borderRadiusMedium);}",".f2e7qr6[data-fui-focus-visible]::after{border-top-right-radius:var(--borderRadiusMedium);}",".fsr1zz6[data-fui-focus-visible]::after{border-top-left-radius:var(--borderRadiusMedium);}",".f1dvezut[data-fui-focus-visible]::after{border-top-color:var(--colorStrokeFocus2);}",".fd0oaoj[data-fui-focus-visible]::after{border-right-color:var(--colorStrokeFocus2);}",".f1cwg4i8[data-fui-focus-visible]::after{border-left-color:var(--colorStrokeFocus2);}",".fjvm52t[data-fui-focus-visible]::after{border-bottom-color:var(--colorStrokeFocus2);}",".f57olzd[data-fui-focus-visible]::after{top:calc(2px 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(forced-colors: active){.f226i61[data-fui-focus-visible]::after{border-top-color:Highlight;}}",{m:"(forced-colors: active)"}],["@media (forced-colors: active){.f13kzufm[data-fui-focus-visible]::after{border-right-color:Highlight;}.fsx75g8[data-fui-focus-visible]::after{border-left-color:Highlight;}}",{m:"(forced-colors: active)"}],["@media (forced-colors: active){.flujwa2[data-fui-focus-visible]::after{border-bottom-color:Highlight;}}",{m:"(forced-colors: active)"}]]}),useAccordionHeaderStyles_unstable=S=>{const C=useStyles$u();return S.root.className=mergeClasses(accordionHeaderClassNames.root,C.root,S.inline&&C.rootInline,S.disabled&&C.rootDisabled,S.root.className),S.button.className=mergeClasses(accordionHeaderClassNames.button,C.resetButton,C.button,C.focusIndicator,S.expandIconPosition==="end"&&!S.icon&&C.buttonExpandIconEndNoIcon,S.expandIconPosition==="end"&&C.buttonExpandIconEnd,S.inline&&C.buttonInline,S.size==="small"&&C.buttonSmall,S.size==="large"&&C.buttonLarge,S.size==="extra-large"&&C.buttonExtraLarge,S.disabled&&C.buttonDisabled,S.button.className),S.expandIcon&&(S.expandIcon.className=mergeClasses(accordionHeaderClassNames.expandIcon,C.expandIcon,S.expandIconPosition==="start"&&C.expandIconStart,S.expandIconPosition==="end"&&C.expandIconEnd,S.expandIcon.className)),S.icon&&(S.icon.className=mergeClasses(accordionHeaderClassNames.icon,C.icon,S.icon.className)),S};function useAccordionHeaderContextValues_unstable(S){const{disabled:C,expandIconPosition:R,open:O,size:I}=S;return{accordionHeader:reactExports.useMemo(()=>({disabled:C,expandIconPosition:R,open:O,size:I}),[C,R,O,I])}}const AccordionHeader=reactExports.forwardRef((S,C)=>{const R=useAccordionHeader_unstable(S,C),O=useAccordionHeaderContextValues_unstable(R);return useAccordionHeaderStyles_unstable(R),useCustomStyleHook("useAccordionHeaderStyles_unstable")(R),renderAccordionHeader_unstable(R,O)});AccordionHeader.displayName="AccordionHeader";const useAccordionPanel_unstable=(S,C)=>{const{open:R}=useAccordionItemContext_unstable(),O=useTabsterAttributes({focusable:{excludeFromMover:!0}}),I=useAccordionContext_unstable(N=>N.navigation);return{open:R,components:{root:"div"},root:always(getIntrinsicElementProps("div",{ref:C,...S,...I&&O}),{elementType:"div"})}},renderAccordionPanel_unstable=S=>(assertSlots(S),S.open?jsx$1(S.root,{children:S.root.children}):null),accordionPanelClassNames={root:"fui-AccordionPanel"},useStyles$t=__styles({root:{B6of3ja:"f1hu3pq6",t21cq0:["fkujibs","f199hnxi"],jrapky:"f19f4twv",Frg6f3:["f199hnxi","fkujibs"]}},{d:[".f1hu3pq6{margin-top:0;}",".fkujibs{margin-right:var(--spacingHorizontalM);}",".f199hnxi{margin-left:var(--spacingHorizontalM);}",".f19f4twv{margin-bottom:0;}"]}),useAccordionPanelStyles_unstable=S=>{const C=useStyles$t();return S.root.className=mergeClasses(accordionPanelClassNames.root,C.root,S.root.className),S},AccordionPanel=reactExports.forwardRef((S,C)=>{const 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expandPaddingObject(S){return{top:0,right:0,bottom:0,left:0,...S}}function getPaddingObject(S){return typeof S!="number"?expandPaddingObject(S):{top:S,right:S,bottom:S,left:S}}function rectToClientRect(S){return{...S,top:S.y,left:S.x,right:S.x+S.width,bottom:S.y+S.height}}function computeCoordsFromPlacement(S,C,R){let{reference:O,floating:I}=S;const N=getSideAxis(C),L=getAlignmentAxis(C),B=getAxisLength(L),j=getSide(C),F=N==="y",V=O.x+O.width/2-I.width/2,K=O.y+O.height/2-I.height/2,W=O[B]/2-I[B]/2;let X;switch(j){case"top":X={x:V,y:O.y-I.height};break;case"bottom":X={x:V,y:O.y+O.height};break;case"right":X={x:O.x+O.width,y:K};break;case"left":X={x:O.x-I.width,y:K};break;default:X={x:O.x,y:O.y}}switch(getAlignment(C)){case"start":X[L]-=W*(R&&F?-1:1);break;case"end":X[L]+=W*(R&&F?-1:1);break}return X}const computePosition$1=async(S,C,R)=>{const{placement:O="bottom",strategy:I="absolute",middleware:N=[],platform:L}=R,B=N.filter(Boolean),j=await(L.isRTL==null?void 0:L.isRTL(C));let F=await L.getElementRects({reference:S,floating:C,strategy:I}),{x:V,y:K}=computeCoordsFromPlacement(F,O,j),W=O,X={},J=0;for(let oe=0;oe<B.length;oe++){const{name:pe,fn:me}=B[oe],{x:xe,y:Ae,data:ge,reset:Te}=await me({x:V,y:K,initialPlacement:O,placement:W,strategy:I,middlewareData:X,rects:F,platform:L,elements:{reference:S,floating:C}});if(V=xe??V,K=Ae??K,X={...X,[pe]:{...X[pe],...ge}},Te&&J<=50){J++,typeof Te=="object"&&(Te.placement&&(W=Te.placement),Te.rects&&(F=Te.rects===!0?await L.getElementRects({reference:S,floating:C,strategy:I}):Te.rects),{x:V,y:K}=computeCoordsFromPlacement(F,W,j)),oe=-1;continue}}return{x:V,y:K,placement:W,strategy:I,middlewareData:X}};async function detectOverflow(S,C){var R;C===void 0&&(C={});const{x:O,y:I,platform:N,rects:L,elements:B,strategy:j}=S,{boundary:F="clippingAncestors",rootBoundary:V="viewport",elementContext:K="floating",altBoundary:W=!1,padding:X=0}=evaluate(C,S),J=getPaddingObject(X),pe=B[W?K==="floating"?"reference":"floating":K],me=rectToClientRect(await N.getClippingRect({element:(R=await(N.isElement==null?void 0:N.isElement(pe)))==null||R?pe:pe.contextElement||await(N.getDocumentElement==null?void 0:N.getDocumentElement(B.floating)),boundary:F,rootBoundary:V,strategy:j})),xe=K==="floating"?{...L.floating,x:O,y:I}:L.reference,Ae=await(N.getOffsetParent==null?void 0:N.getOffsetParent(B.floating)),ge=await(N.isElement==null?void 0:N.isElement(Ae))?await(N.getScale==null?void 0:N.getScale(Ae))||{x:1,y:1}:{x:1,y:1},Te=rectToClientRect(N.convertOffsetParentRelativeRectToViewportRelativeRect?await N.convertOffsetParentRelativeRectToViewportRelativeRect({rect:xe,offsetParent:Ae,strategy:j}):xe);return{top:(me.top-Te.top+J.top)/ge.y,bottom:(Te.bottom-me.bottom+J.bottom)/ge.y,left:(me.left-Te.left+J.left)/ge.x,right:(Te.right-me.right+J.right)/ge.x}}const arrow$1=S=>({name:"arrow",options:S,async fn(C){const{x:R,y:O,placement:I,rects:N,platform:L,elements:B,middlewareData:j}=C,{element:F,padding:V=0}=evaluate(S,C)||{};if(F==null)return{};const K=getPaddingObject(V),W={x:R,y:O},X=getAlignmentAxis(I),J=getAxisLength(X),oe=await L.getDimensions(F),pe=X==="y",me=pe?"top":"left",xe=pe?"bottom":"right",Ae=pe?"clientHeight":"clientWidth",ge=N.reference[J]+N.reference[X]-W[X]-N.floating[J],Te=W[X]-N.reference[X],we=await(L.getOffsetParent==null?void 0:L.getOffsetParent(F));let ke=we?we[Ae]:0;(!ke||!await(L.isElement==null?void 0:L.isElement(we)))&&(ke=B.floating[Ae]||N.floating[J]);const Be=ge/2-Te/2,Ie=ke/2-oe[J]/2-1,je=min$a(K[me],Ie),Ke=min$a(K[xe],Ie),Je=je,Xe=ke-oe[J]-Ke,ot=ke/2-oe[J]/2+Be,tt=clamp$2(Je,ot,Xe),Ue=!j.arrow&&getAlignment(I)!=null&&ot!=tt&&N.reference[J]/2-(ot<Je?je:Ke)-oe[J]/2<0,et=Ue?ot<Je?ot-Je:ot-Xe:0;return{[X]:W[X]+et,data:{[X]:tt,centerOffset:ot-tt-et,...Ue&&{alignmentOffset:et}},reset:Ue}}}),flip$1=function(S){return S===void 0&&(S={}),{name:"flip",options:S,async fn(C){var R,O;const{placement:I,middlewareData:N,rects:L,initialPlacement:B,platform:j,elements:F}=C,{mainAxis:V=!0,crossAxis:K=!0,fallbackPlacements:W,fallbackStrategy:X="bestFit",fallbackAxisSideDirection:J="none",flipAlignment:oe=!0,...pe}=evaluate(S,C);if((R=N.arrow)!=null&&R.alignmentOffset)return{};const me=getSide(I),xe=getSide(B)===B,Ae=await(j.isRTL==null?void 0:j.isRTL(F.floating)),ge=W||(xe||!oe?[getOppositePlacement(B)]:getExpandedPlacements(B));!W&&J!=="none"&&ge.push(...getOppositeAxisPlacements(B,oe,J,Ae));const Te=[B,...ge],we=await detectOverflow(C,pe),ke=[];let Be=((O=N.flip)==null?void 0:O.overflows)||[];if(V&&ke.push(we[me]),K){const Je=getAlignmentSides(I,L,Ae);ke.push(we[Je[0]],we[Je[1]])}if(Be=[...Be,{placement:I,overflows:ke}],!ke.every(Je=>Je<=0)){var Ie,je;const Je=(((Ie=N.flip)==null?void 0:Ie.index)||0)+1,Xe=Te[Je];if(Xe)return{data:{index:Je,overflows:Be},reset:{placement:Xe}};let ot=(je=Be.filter(tt=>tt.overflows[0]<=0).sort((tt,Ue)=>tt.overflows[1]-Ue.overflows[1])[0])==null?void 0:je.placement;if(!ot)switch(X){case"bestFit":{var Ke;const tt=(Ke=Be.map(Ue=>[Ue.placement,Ue.overflows.filter(et=>et>0).reduce((et,dt)=>et+dt,0)]).sort((Ue,et)=>Ue[1]-et[1])[0])==null?void 0:Ke[0];tt&&(ot=tt);break}case"initialPlacement":ot=B;break}if(I!==ot)return{reset:{placement:ot}}}return{}}}};function getSideOffsets(S,C){return{top:S.top-C.height,right:S.right-C.width,bottom:S.bottom-C.height,left:S.left-C.width}}function isAnySideFullyClipped(S){return sides.some(C=>S[C]>=0)}const hide=function(S){return S===void 0&&(S={}),{name:"hide",options:S,async fn(C){const{rects:R}=C,{strategy:O="referenceHidden",...I}=evaluate(S,C);switch(O){case"referenceHidden":{const N=await detectOverflow(C,{...I,elementContext:"reference"}),L=getSideOffsets(N,R.reference);return{data:{referenceHiddenOffsets:L,referenceHidden:isAnySideFullyClipped(L)}}}case"escaped":{const N=await detectOverflow(C,{...I,altBoundary:!0}),L=getSideOffsets(N,R.floating);return{data:{escapedOffsets:L,escaped:isAnySideFullyClipped(L)}}}default:return{}}}}};async function convertValueToCoords(S,C){const{placement:R,platform:O,elements:I}=S,N=await(O.isRTL==null?void 0:O.isRTL(I.floating)),L=getSide(R),B=getAlignment(R),j=getSideAxis(R)==="y",F=["left","top"].includes(L)?-1:1,V=N&&j?-1:1,K=evaluate(C,S);let{mainAxis:W,crossAxis:X,alignmentAxis:J}=typeof K=="number"?{mainAxis:K,crossAxis:0,alignmentAxis:null}:{mainAxis:0,crossAxis:0,alignmentAxis:null,...K};return B&&typeof J=="number"&&(X=B==="end"?J*-1:J),j?{x:X*V,y:W*F}:{x:W*F,y:X*V}}const offset$1=function(S){return S===void 0&&(S=0),{name:"offset",options:S,async fn(C){var R,O;const{x:I,y:N,placement:L,middlewareData:B}=C,j=await convertValueToCoords(C,S);return L===((R=B.offset)==null?void 0:R.placement)&&(O=B.arrow)!=null&&O.alignmentOffset?{}:{x:I+j.x,y:N+j.y,data:{...j,placement:L}}}}},shift$1=function(S){return S===void 0&&(S={}),{name:"shift",options:S,async fn(C){const{x:R,y:O,placement:I}=C,{mainAxis:N=!0,crossAxis:L=!1,limiter:B={fn:pe=>{let{x:me,y:xe}=pe;return{x:me,y:xe}}},...j}=evaluate(S,C),F={x:R,y:O},V=await detectOverflow(C,j),K=getSideAxis(getSide(I)),W=getOppositeAxis(K);let X=F[W],J=F[K];if(N){const pe=W==="y"?"top":"left",me=W==="y"?"bottom":"right",xe=X+V[pe],Ae=X-V[me];X=clamp$2(xe,X,Ae)}if(L){const pe=K==="y"?"top":"left",me=K==="y"?"bottom":"right",xe=J+V[pe],Ae=J-V[me];J=clamp$2(xe,J,Ae)}const oe=B.fn({...C,[W]:X,[K]:J});return{...oe,data:{x:oe.x-R,y:oe.y-O}}}}},limitShift=function(S){return S===void 0&&(S={}),{options:S,fn(C){const{x:R,y:O,placement:I,rects:N,middlewareData:L}=C,{offset:B=0,mainAxis:j=!0,crossAxis:F=!0}=evaluate(S,C),V={x:R,y:O},K=getSideAxis(I),W=getOppositeAxis(K);let X=V[W],J=V[K];const oe=evaluate(B,C),pe=typeof oe=="number"?{mainAxis:oe,crossAxis:0}:{mainAxis:0,crossAxis:0,...oe};if(j){const Ae=W==="y"?"height":"width",ge=N.reference[W]-N.floating[Ae]+pe.mainAxis,Te=N.reference[W]+N.reference[Ae]-pe.mainAxis;X<ge?X=ge:X>Te&&(X=Te)}if(F){var me,xe;const Ae=W==="y"?"width":"height",ge=["top","left"].includes(getSide(I)),Te=N.reference[K]-N.floating[Ae]+(ge&&((me=L.offset)==null?void 0:me[K])||0)+(ge?0:pe.crossAxis),we=N.reference[K]+N.reference[Ae]+(ge?0:((xe=L.offset)==null?void 0:xe[K])||0)-(ge?pe.crossAxis:0);J<Te?J=Te:J>we&&(J=we)}return{[W]:X,[K]:J}}}},size=function(S){return S===void 0&&(S={}),{name:"size",options:S,async fn(C){const{placement:R,rects:O,platform:I,elements:N}=C,{apply:L=()=>{},...B}=evaluate(S,C),j=await detectOverflow(C,B),F=getSide(R),V=getAlignment(R),K=getSideAxis(R)==="y",{width:W,height:X}=O.floating;let J,oe;F==="top"||F==="bottom"?(J=F,oe=V===(await(I.isRTL==null?void 0:I.isRTL(N.floating))?"start":"end")?"left":"right"):(oe=F,J=V==="end"?"top":"bottom");const pe=X-j[J],me=W-j[oe],xe=!C.middlewareData.shift;let Ae=pe,ge=me;if(K){const we=W-j.left-j.right;ge=V||xe?min$a(me,we):we}else{const we=X-j.top-j.bottom;Ae=V||xe?min$a(pe,we):we}if(xe&&!V){const we=max$9(j.left,0),ke=max$9(j.right,0),Be=max$9(j.top,0),Ie=max$9(j.bottom,0);K?ge=W-2*(we!==0||ke!==0?we+ke:max$9(j.left,j.right)):Ae=X-2*(Be!==0||Ie!==0?Be+Ie:max$9(j.top,j.bottom))}await L({...C,availableWidth:ge,availableHeight:Ae});const Te=await I.getDimensions(N.floating);return W!==Te.width||X!==Te.height?{reset:{rects:!0}}:{}}}};function getNodeName(S){return isNode(S)?(S.nodeName||"").toLowerCase():"#document"}function getWindow$1(S){var C;return(S==null||(C=S.ownerDocument)==null?void 0:C.defaultView)||window}function getDocumentElement(S){var C;return(C=(isNode(S)?S.ownerDocument:S.document)||window.document)==null?void 0:C.documentElement}function isNode(S){return S instanceof Node||S instanceof getWindow$1(S).Node}function isElement$1(S){return S instanceof Element||S instanceof getWindow$1(S).Element}function isHTMLElement$2(S){return S instanceof HTMLElement||S instanceof getWindow$1(S).HTMLElement}function isShadowRoot(S){return typeof ShadowRoot>"u"?!1:S instanceof ShadowRoot||S instanceof getWindow$1(S).ShadowRoot}function isOverflowElement(S){const{overflow:C,overflowX:R,overflowY:O,display:I}=getComputedStyle$1(S);return/auto|scroll|overlay|hidden|clip/.test(C+O+R)&&!["inline","contents"].includes(I)}function isTableElement(S){return["table","td","th"].includes(getNodeName(S))}function isContainingBlock(S){const C=isWebKit(),R=getComputedStyle$1(S);return R.transform!=="none"||R.perspective!=="none"||(R.containerType?R.containerType!=="normal":!1)||!C&&(R.backdropFilter?R.backdropFilter!=="none":!1)||!C&&(R.filter?R.filter!=="none":!1)||["transform","perspective","filter"].some(O=>(R.willChange||"").includes(O))||["paint","layout","strict","content"].some(O=>(R.contain||"").includes(O))}function getContainingBlock(S){let C=getParentNode$1(S);for(;isHTMLElement$2(C)&&!isLastTraversableNode(C);){if(isContainingBlock(C))return C;C=getParentNode$1(C)}return null}function isWebKit(){return typeof CSS>"u"||!CSS.supports?!1:CSS.supports("-webkit-backdrop-filter","none")}function isLastTraversableNode(S){return["html","body","#document"].includes(getNodeName(S))}function getComputedStyle$1(S){return getWindow$1(S).getComputedStyle(S)}function getNodeScroll(S){return isElement$1(S)?{scrollLeft:S.scrollLeft,scrollTop:S.scrollTop}:{scrollLeft:S.pageXOffset,scrollTop:S.pageYOffset}}function getParentNode$1(S){if(getNodeName(S)==="html")return S;const C=S.assignedSlot||S.parentNode||isShadowRoot(S)&&S.host||getDocumentElement(S);return isShadowRoot(C)?C.host:C}function getNearestOverflowAncestor(S){const C=getParentNode$1(S);return isLastTraversableNode(C)?S.ownerDocument?S.ownerDocument.body:S.body:isHTMLElement$2(C)&&isOverflowElement(C)?C:getNearestOverflowAncestor(C)}function getOverflowAncestors(S,C,R){var O;C===void 0&&(C=[]),R===void 0&&(R=!0);const I=getNearestOverflowAncestor(S),N=I===((O=S.ownerDocument)==null?void 0:O.body),L=getWindow$1(I);return N?C.concat(L,L.visualViewport||[],isOverflowElement(I)?I:[],L.frameElement&&R?getOverflowAncestors(L.frameElement):[]):C.concat(I,getOverflowAncestors(I,[],R))}function getCssDimensions(S){const C=getComputedStyle$1(S);let R=parseFloat(C.width)||0,O=parseFloat(C.height)||0;const I=isHTMLElement$2(S),N=I?S.offsetWidth:R,L=I?S.offsetHeight:O,B=round$2(R)!==N||round$2(O)!==L;return B&&(R=N,O=L),{width:R,height:O,$:B}}function unwrapElement(S){return isElement$1(S)?S:S.contextElement}function getScale(S){const C=unwrapElement(S);if(!isHTMLElement$2(C))return createCoords(1);const R=C.getBoundingClientRect(),{width:O,height:I,$:N}=getCssDimensions(C);let L=(N?round$2(R.width):R.width)/O,B=(N?round$2(R.height):R.height)/I;return(!L||!Number.isFinite(L))&&(L=1),(!B||!Number.isFinite(B))&&(B=1),{x:L,y:B}}const noOffsets=createCoords(0);function getVisualOffsets(S){const C=getWindow$1(S);return!isWebKit()||!C.visualViewport?noOffsets:{x:C.visualViewport.offsetLeft,y:C.visualViewport.offsetTop}}function shouldAddVisualOffsets(S,C,R){return C===void 0&&(C=!1),!R||C&&R!==getWindow$1(S)?!1:C}function getBoundingClientRect(S,C,R,O){C===void 0&&(C=!1),R===void 0&&(R=!1);const I=S.getBoundingClientRect(),N=unwrapElement(S);let L=createCoords(1);C&&(O?isElement$1(O)&&(L=getScale(O)):L=getScale(S));const B=shouldAddVisualOffsets(N,R,O)?getVisualOffsets(N):createCoords(0);let j=(I.left+B.x)/L.x,F=(I.top+B.y)/L.y,V=I.width/L.x,K=I.height/L.y;if(N){const W=getWindow$1(N),X=O&&isElement$1(O)?getWindow$1(O):O;let J=W.frameElement;for(;J&&O&&X!==W;){const oe=getScale(J),pe=J.getBoundingClientRect(),me=getComputedStyle$1(J),xe=pe.left+(J.clientLeft+parseFloat(me.paddingLeft))*oe.x,Ae=pe.top+(J.clientTop+parseFloat(me.paddingTop))*oe.y;j*=oe.x,F*=oe.y,V*=oe.x,K*=oe.y,j+=xe,F+=Ae,J=getWindow$1(J).frameElement}}return rectToClientRect({width:V,height:K,x:j,y:F})}function convertOffsetParentRelativeRectToViewportRelativeRect(S){let{rect:C,offsetParent:R,strategy:O}=S;const I=isHTMLElement$2(R),N=getDocumentElement(R);if(R===N)return C;let L={scrollLeft:0,scrollTop:0},B=createCoords(1);const j=createCoords(0);if((I||!I&&O!=="fixed")&&((getNodeName(R)!=="body"||isOverflowElement(N))&&(L=getNodeScroll(R)),isHTMLElement$2(R))){const F=getBoundingClientRect(R);B=getScale(R),j.x=F.x+R.clientLeft,j.y=F.y+R.clientTop}return{width:C.width*B.x,height:C.height*B.y,x:C.x*B.x-L.scrollLeft*B.x+j.x,y:C.y*B.y-L.scrollTop*B.y+j.y}}function getClientRects(S){return Array.from(S.getClientRects())}function getWindowScrollBarX(S){return getBoundingClientRect(getDocumentElement(S)).left+getNodeScroll(S).scrollLeft}function getDocumentRect(S){const C=getDocumentElement(S),R=getNodeScroll(S),O=S.ownerDocument.body,I=max$9(C.scrollWidth,C.clientWidth,O.scrollWidth,O.clientWidth),N=max$9(C.scrollHeight,C.clientHeight,O.scrollHeight,O.clientHeight);let L=-R.scrollLeft+getWindowScrollBarX(S);const B=-R.scrollTop;return getComputedStyle$1(O).direction==="rtl"&&(L+=max$9(C.clientWidth,O.clientWidth)-I),{width:I,height:N,x:L,y:B}}function getViewportRect(S,C){const R=getWindow$1(S),O=getDocumentElement(S),I=R.visualViewport;let N=O.clientWidth,L=O.clientHeight,B=0,j=0;if(I){N=I.width,L=I.height;const F=isWebKit();(!F||F&&C==="fixed")&&(B=I.offsetLeft,j=I.offsetTop)}return{width:N,height:L,x:B,y:j}}function getInnerBoundingClientRect(S,C){const R=getBoundingClientRect(S,!0,C==="fixed"),O=R.top+S.clientTop,I=R.left+S.clientLeft,N=isHTMLElement$2(S)?getScale(S):createCoords(1),L=S.clientWidth*N.x,B=S.clientHeight*N.y,j=I*N.x,F=O*N.y;return{width:L,height:B,x:j,y:F}}function getClientRectFromClippingAncestor(S,C,R){let O;if(C==="viewport")O=getViewportRect(S,R);else if(C==="document")O=getDocumentRect(getDocumentElement(S));else if(isElement$1(C))O=getInnerBoundingClientRect(C,R);else{const I=getVisualOffsets(S);O={...C,x:C.x-I.x,y:C.y-I.y}}return rectToClientRect(O)}function hasFixedPositionAncestor(S,C){const R=getParentNode$1(S);return R===C||!isElement$1(R)||isLastTraversableNode(R)?!1:getComputedStyle$1(R).position==="fixed"||hasFixedPositionAncestor(R,C)}function getClippingElementAncestors(S,C){const R=C.get(S);if(R)return R;let O=getOverflowAncestors(S,[],!1).filter(B=>isElement$1(B)&&getNodeName(B)!=="body"),I=null;const N=getComputedStyle$1(S).position==="fixed";let L=N?getParentNode$1(S):S;for(;isElement$1(L)&&!isLastTraversableNode(L);){const B=getComputedStyle$1(L),j=isContainingBlock(L);!j&&B.position==="fixed"&&(I=null),(N?!j&&!I:!j&&B.position==="static"&&!!I&&["absolute","fixed"].includes(I.position)||isOverflowElement(L)&&!j&&hasFixedPositionAncestor(S,L))?O=O.filter(V=>V!==L):I=B,L=getParentNode$1(L)}return C.set(S,O),O}function getClippingRect(S){let{element:C,boundary:R,rootBoundary:O,strategy:I}=S;const L=[...R==="clippingAncestors"?getClippingElementAncestors(C,this._c):[].concat(R),O],B=L[0],j=L.reduce((F,V)=>{const K=getClientRectFromClippingAncestor(C,V,I);return 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pe=oe.currentNode;console.warn("<Popper>:",pe),console.warn(['<Popper>: ^ this node contains "autoFocus" prop on a React element. This can break the initial',"positioning of an element and cause a window jump effect. This issue occurs because React polyfills",'"autoFocus" behavior to solve inconsistencies between different browsers:',"https://github.com/facebook/react/issues/11851#issuecomment-351787078",`
-`,'However, ".focus()" in this case occurs before any other React effects will be executed',"(React.useEffect(), componentDidMount(), etc.) and we can not prevent this behavior. If you really",'want to use "autoFocus" please add "position: fixed" to styles of the element that is wrapped by','"Popper".',`In general, it's not recommended to use "autoFocus" as it may break accessibility aspects:`,"https://github.com/jsx-eslint/eslint-plugin-jsx-a11y/blob/master/docs/rules/no-autofocus.md",`
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- * react-is.development.js
- *
- * Copyright (c) Facebook, Inc. and its affiliates.
- *
- * This source code is licensed under the MIT license found in the
- * LICENSE file in the root directory of this source tree.
- */return S.NODE_ENV!=="production"&&function(){var C=typeof Symbol=="function"&&Symbol.for,R=C?Symbol.for("react.element"):60103,O=C?Symbol.for("react.portal"):60106,I=C?Symbol.for("react.fragment"):60107,N=C?Symbol.for("react.strict_mode"):60108,L=C?Symbol.for("react.profiler"):60114,B=C?Symbol.for("react.provider"):60109,j=C?Symbol.for("react.context"):60110,F=C?Symbol.for("react.async_mode"):60111,V=C?Symbol.for("react.concurrent_mode"):60111,K=C?Symbol.for("react.forward_ref"):60112,W=C?Symbol.for("react.suspense"):60113,X=C?Symbol.for("react.suspense_list"):60120,J=C?Symbol.for("react.memo"):60115,oe=C?Symbol.for("react.lazy"):60116,pe=C?Symbol.for("react.block"):60121,me=C?Symbol.for("react.fundamental"):60117,xe=C?Symbol.for("react.responder"):60118,Ae=C?Symbol.for("react.scope"):60119;function ge(Kt){return typeof Kt=="string"||typeof Kt=="function"||Kt===I||Kt===V||Kt===L||Kt===N||Kt===W||Kt===X||typeof Kt=="object"&&Kt!==null&&(Kt.$$typeof===oe||Kt.$$typeof===J||Kt.$$typeof===B||Kt.$$typeof===j||Kt.$$typeof===K||Kt.$$typeof===me||Kt.$$typeof===xe||Kt.$$typeof===Ae||Kt.$$typeof===pe)}function Te(Kt){if(typeof Kt=="object"&&Kt!==null){var tr=Kt.$$typeof;switch(tr){case R:var wr=Kt.type;switch(wr){case F:case V:case I:case L:case N:case W:return wr;default:var xr=wr&&wr.$$typeof;switch(xr){case j:case K:case oe:case J:case B:return xr;default:return tr}}case O:return tr}}}var we=F,ke=V,Be=j,Ie=B,je=R,Ke=K,Je=I,Xe=oe,ot=J,tt=O,Ue=L,et=N,dt=W,gt=!1;function Qe(Kt){return gt||(gt=!0,console.warn("The ReactIs.isAsyncMode() alias has been deprecated, and will be removed in React 17+. Update your code to use ReactIs.isConcurrentMode() instead. It has the exact same API.")),lt(Kt)||Te(Kt)===F}function lt(Kt){return Te(Kt)===V}function ht(Kt){return Te(Kt)===j}function Ct(Kt){return Te(Kt)===B}function $t(Kt){return typeof Kt=="object"&&Kt!==null&&Kt.$$typeof===R}function Lt(Kt){return Te(Kt)===K}function Gt(Kt){return Te(Kt)===I}function Pt(Kt){return Te(Kt)===oe}function Vt(Kt){return Te(Kt)===J}function bt(Kt){return Te(Kt)===O}function It(Kt){return Te(Kt)===L}function Ht(Kt){return Te(Kt)===N}function kt(Kt){return Te(Kt)===W}reactIs_development$1.AsyncMode=we,reactIs_development$1.ConcurrentMode=ke,reactIs_development$1.ContextConsumer=Be,reactIs_development$1.ContextProvider=Ie,reactIs_development$1.Element=je,reactIs_development$1.ForwardRef=Ke,reactIs_development$1.Fragment=Je,reactIs_development$1.Lazy=Xe,reactIs_development$1.Memo=ot,reactIs_development$1.Portal=tt,reactIs_development$1.Profiler=Ue,reactIs_development$1.StrictMode=et,reactIs_development$1.Suspense=dt,reactIs_development$1.isAsyncMode=Qe,reactIs_development$1.isConcurrentMode=lt,reactIs_development$1.isContextConsumer=ht,reactIs_development$1.isContextProvider=Ct,reactIs_development$1.isElement=$t,reactIs_development$1.isForwardRef=Lt,reactIs_development$1.isFragment=Gt,reactIs_development$1.isLazy=Pt,reactIs_development$1.isMemo=Vt,reactIs_development$1.isPortal=bt,reactIs_development$1.isProfiler=It,reactIs_development$1.isStrictMode=Ht,reactIs_development$1.isSuspense=kt,reactIs_development$1.isValidElementType=ge,reactIs_development$1.typeOf=Te}(),reactIs_development$1}var reactIs_production_min$1={};/** @license React v16.13.1
- * react-is.production.min.js
- *
- * Copyright (c) Facebook, Inc. and its affiliates.
- *
- * This source code is licensed under the MIT license found in the
- * LICENSE file in the root directory of this source tree.
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Uint8Array$2(S)),C}var _cloneArrayBuffer=cloneArrayBuffer$3,cloneArrayBuffer$2=_cloneArrayBuffer;function cloneDataView$1(S,C){var R=C?cloneArrayBuffer$2(S.buffer):S.buffer;return new S.constructor(R,S.byteOffset,S.byteLength)}var _cloneDataView=cloneDataView$1,reFlags=/\w*$/;function cloneRegExp$1(S){var C=new S.constructor(S.source,reFlags.exec(S));return C.lastIndex=S.lastIndex,C}var _cloneRegExp=cloneRegExp$1,Symbol$9=_Symbol$1,symbolProto$2=Symbol$9?Symbol$9.prototype:void 0,symbolValueOf$1=symbolProto$2?symbolProto$2.valueOf:void 0;function cloneSymbol$1(S){return symbolValueOf$1?Object(symbolValueOf$1.call(S)):{}}var _cloneSymbol=cloneSymbol$1,cloneArrayBuffer$1=_cloneArrayBuffer;function cloneTypedArray$1(S,C){var R=C?cloneArrayBuffer$1(S.buffer):S.buffer;return new S.constructor(R,S.byteOffset,S.length)}var _cloneTypedArray=cloneTypedArray$1,cloneArrayBuffer=_cloneArrayBuffer,cloneDataView=_cloneDataView,cloneRegExp=_cloneRegExp,cloneSymbol=_cloneSymbol,cloneTypedArray=_cloneTypedArray,boolTag$3="[object Boolean]",dateTag$2="[object Date]",mapTag$3="[object Map]",numberTag$3="[object Number]",regexpTag$2="[object RegExp]",setTag$3="[object Set]",stringTag$3="[object String]",symbolTag$3="[object Symbol]",arrayBufferTag$2="[object ArrayBuffer]",dataViewTag$2="[object DataView]",float32Tag$1="[object Float32Array]",float64Tag$1="[object Float64Array]",int8Tag$1="[object Int8Array]",int16Tag$1="[object Int16Array]",int32Tag$1="[object Int32Array]",uint8Tag$1="[object Uint8Array]",uint8ClampedTag$1="[object Uint8ClampedArray]",uint16Tag$1="[object Uint16Array]",uint32Tag$1="[object Uint32Array]";function initCloneByTag$1(S,C,R){var O=S.constructor;switch(C){case arrayBufferTag$2:return cloneArrayBuffer(S);case boolTag$3:case dateTag$2:return new O(+S);case dataViewTag$2:return cloneDataView(S,R);case float32Tag$1:case float64Tag$1:case int8Tag$1:case int16Tag$1:case int32Tag$1:case uint8Tag$1:case uint8ClampedTag$1:case uint16Tag$1:case uint32Tag$1:return cloneTypedArray(S,R);case mapTag$3:return new O;case numberTag$3:case stringTag$3:return new O(S);case regexpTag$2:return cloneRegExp(S);case setTag$3:return new O;case symbolTag$3:return cloneSymbol(S)}}var _initCloneByTag=initCloneByTag$1,isObject$t=isObject_1,objectCreate$2=Object.create,baseCreate$1=function(){function S(){}return function(C){if(!isObject$t(C))return{};if(objectCreate$2)return objectCreate$2(C);S.prototype=C;var R=new S;return S.prototype=void 0,R}}(),_baseCreate=baseCreate$1,baseCreate=_baseCreate,getPrototype$1=_getPrototype,isPrototype=_isPrototype;function initCloneObject$1(S){return typeof S.constructor=="function"&&!isPrototype(S)?baseCreate(getPrototype$1(S)):{}}var _initCloneObject=initCloneObject$1,getTag$4=_getTag,isObjectLike$7=isObjectLike_1,mapTag$2="[object Map]";function baseIsMap$1(S){return isObjectLike$7(S)&&getTag$4(S)==mapTag$2}var _baseIsMap=baseIsMap$1,baseIsMap=_baseIsMap,baseUnary$2=_baseUnary,nodeUtil$1=_nodeUtilExports,nodeIsMap=nodeUtil$1&&nodeUtil$1.isMap,isMap$2=nodeIsMap?baseUnary$2(nodeIsMap):baseIsMap,isMap_1=isMap$2,getTag$3=_getTag,isObjectLike$6=isObjectLike_1,setTag$2="[object Set]";function baseIsSet$1(S){return isObjectLike$6(S)&&getTag$3(S)==setTag$2}var _baseIsSet=baseIsSet$1,baseIsSet=_baseIsSet,baseUnary$1=_baseUnary,nodeUtil=_nodeUtilExports,nodeIsSet=nodeUtil&&nodeUtil.isSet,isSet$2=nodeIsSet?baseUnary$1(nodeIsSet):baseIsSet,isSet_1=isSet$2,Stack$4=_Stack,arrayEach=_arrayEach,assignValue=_assignValue,baseAssign=_baseAssign,baseAssignIn=_baseAssignIn,cloneBuffer=_cloneBufferExports,copyArray=_copyArray,copySymbols=_copySymbols,copySymbolsIn=_copySymbolsIn,getAllKeys$1=_getAllKeys,getAllKeysIn=_getAllKeysIn,getTag$2=_getTag,initCloneArray=_initCloneArray,initCloneByTag=_initCloneByTag,initCloneObject=_initCloneObject,isArray$r=isArray_1,isBuffer$1=isBufferExports,isMap$1=isMap_1,isObject$s=isObject_1,isSet$1=isSet_1,keys$9=keys_1,keysIn=keysIn_1,CLONE_DEEP_FLAG=1,CLONE_FLAT_FLAG=2,CLONE_SYMBOLS_FLAG=4,argsTag$1="[object Arguments]",arrayTag$1="[object Array]",boolTag$2="[object Boolean]",dateTag$1="[object Date]",errorTag$1="[object Error]",funcTag="[object Function]",genTag="[object GeneratorFunction]",mapTag$1="[object Map]",numberTag$2="[object Number]",objectTag$2="[object Object]",regexpTag$1="[object RegExp]",setTag$1="[object Set]",stringTag$2="[object String]",symbolTag$2="[object Symbol]",weakMapTag="[object WeakMap]",arrayBufferTag$1="[object ArrayBuffer]",dataViewTag$1="[object DataView]",float32Tag="[object Float32Array]",float64Tag="[object Float64Array]",int8Tag="[object Int8Array]",int16Tag="[object Int16Array]",int32Tag="[object Int32Array]",uint8Tag="[object Uint8Array]",uint8ClampedTag="[object Uint8ClampedArray]",uint16Tag="[object Uint16Array]",uint32Tag="[object Uint32Array]",cloneableTags={};cloneableTags[argsTag$1]=cloneableTags[arrayTag$1]=cloneableTags[arrayBufferTag$1]=cloneableTags[dataViewTag$1]=cloneableTags[boolTag$2]=cloneableTags[dateTag$1]=cloneableTags[float32Tag]=cloneableTags[float64Tag]=cloneableTags[int8Tag]=cloneableTags[int16Tag]=cloneableTags[int32Tag]=cloneableTags[mapTag$1]=cloneableTags[numberTag$2]=cloneableTags[objectTag$2]=cloneableTags[regexpTag$1]=cloneableTags[setTag$1]=cloneableTags[stringTag$2]=cloneableTags[symbolTag$2]=cloneableTags[uint8Tag]=cloneableTags[uint8ClampedTag]=cloneableTags[uint16Tag]=cloneableTags[uint32Tag]=!0,cloneableTags[errorTag$1]=cloneableTags[funcTag]=cloneableTags[weakMapTag]=!1;function baseClone(S,C,R,O,I,N){var L,B=C&CLONE_DEEP_FLAG,j=C&CLONE_FLAT_FLAG,F=C&CLONE_SYMBOLS_FLAG;if(R&&(L=I?R(S,O,I,N):R(S)),L!==void 0)return L;if(!isObject$s(S))return S;var V=isArray$r(S);if(V){if(L=initCloneArray(S),!B)return copyArray(S,L)}else{var K=getTag$2(S),W=K==funcTag||K==genTag;if(isBuffer$1(S))return cloneBuffer(S,B);if(K==objectTag$2||K==argsTag$1||W&&!I){if(L=j||W?{}:initCloneObject(S),!B)return j?copySymbolsIn(S,baseAssignIn(L,S)):copySymbols(S,baseAssign(L,S))}else{if(!cloneableTags[K])return I?S:{};L=initCloneByTag(S,K,B)}}N||(N=new Stack$4);var X=N.get(S);if(X)return X;N.set(S,L),isSet$1(S)?S.forEach(function(pe){L.add(baseClone(pe,C,R,pe,S,N))}):isMap$1(S)&&S.forEach(function(pe,me){L.set(me,baseClone(pe,C,R,me,S,N))});var J=F?j?getAllKeysIn:getAllKeys$1:j?keysIn:keys$9,oe=V?void 0:J(S);return arrayEach(oe||S,function(pe,me){oe&&(me=pe,pe=S[me]),assignValue(L,me,baseClone(pe,C,R,me,S,N))}),L}var _baseClone=baseClone,clone_1,hasRequiredClone;function requireClone(){if(hasRequiredClone)return clone_1;hasRequiredClone=1;var S=_baseClone,C=4;function R(O){return S(O,C)}return clone_1=R,clone_1}function constant$3(S){return function(){return S}}var constant_1=constant$3;function createBaseFor$1(S){return 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W=this._in[V];if(W){var X=S.values(W);return K?S.filter(X,function(J){return J.v===K}):X}},I.prototype.outEdges=function(V,K){var W=this._out[V];if(W){var X=S.values(W);return K?S.filter(X,function(J){return J.w===K}):X}},I.prototype.nodeEdges=function(V,K){var W=this.inEdges(V,K);if(W)return W.concat(this.outEdges(V,K))};function N(V,K){V[K]?V[K]++:V[K]=1}function L(V,K){--V[K]||delete V[K]}function B(V,K,W,X){var J=""+K,oe=""+W;if(!V&&J>oe){var pe=J;J=oe,oe=pe}return J+O+oe+O+(S.isUndefined(X)?C:X)}function j(V,K,W,X){var J=""+K,oe=""+W;if(!V&&J>oe){var pe=J;J=oe,oe=pe}var me={v:J,w:oe};return X&&(me.name=X),me}function F(V,K){return B(V,K.v,K.w,K.name)}return graph}var version$3,hasRequiredVersion;function requireVersion(){return hasRequiredVersion||(hasRequiredVersion=1,version$3="2.1.8"),version$3}var lib,hasRequiredLib;function requireLib(){return hasRequiredLib||(hasRequiredLib=1,lib={Graph:requireGraph(),version:requireVersion()}),lib}var json,hasRequiredJson;function 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I=this._keyIndices;if(R=String(R),!S.has(I,R)){var N=this._arr,L=N.length;return I[R]=L,N.push({key:R,priority:O}),this._decrease(L),!0}return!1},C.prototype.removeMin=function(){this._swap(0,this._arr.length-1);var R=this._arr.pop();return delete this._keyIndices[R.key],this._heapify(0),R.key},C.prototype.decrease=function(R,O){var I=this._keyIndices[R];if(O>this._arr[I].priority)throw new Error("New priority is greater than current priority. 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F=N[j]={onStack:!0,lowlink:O,index:O++};if(I.push(j),R.successors(j).forEach(function(W){S.has(N,W)?N[W].onStack&&(F.lowlink=Math.min(F.lowlink,N[W].index)):(B(W),F.lowlink=Math.min(F.lowlink,N[W].lowlink))}),F.lowlink===F.index){var V=[],K;do K=I.pop(),N[K].onStack=!1,V.push(K);while(j!==K);L.push(V)}}return R.nodes().forEach(function(j){S.has(N,j)||B(j)}),L}return tarjan_1}var findCycles_1,hasRequiredFindCycles;function requireFindCycles(){if(hasRequiredFindCycles)return findCycles_1;hasRequiredFindCycles=1;var S=requireLodash(),C=requireTarjan();findCycles_1=R;function R(O){return S.filter(C(O),function(I){return I.length>1||I.length===1&&O.hasEdge(I[0],I[0])})}return findCycles_1}var floydWarshall_1,hasRequiredFloydWarshall;function requireFloydWarshall(){if(hasRequiredFloydWarshall)return floydWarshall_1;hasRequiredFloydWarshall=1;var S=requireLodash();floydWarshall_1=R;var C=S.constant(1);function R(I,N,L){return O(I,N||C,L||function(B){return I.outEdges(B)})}function 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requireIsAcyclic(){if(hasRequiredIsAcyclic)return isAcyclic_1;hasRequiredIsAcyclic=1;var S=requireTopsort();isAcyclic_1=C;function C(R){try{S(R)}catch(O){if(O instanceof S.CycleException)return!1;throw O}return!0}return isAcyclic_1}var dfs_1,hasRequiredDfs;function requireDfs(){if(hasRequiredDfs)return dfs_1;hasRequiredDfs=1;var S=requireLodash();dfs_1=C;function C(O,I,N){S.isArray(I)||(I=[I]);var L=(O.isDirected()?O.successors:O.neighbors).bind(O),B=[],j={};return S.each(I,function(F){if(!O.hasNode(F))throw new Error("Graph does not have node: "+F);R(O,F,N==="post",j,L,B)}),B}function R(O,I,N,L,B,j){S.has(L,I)||(L[I]=!0,N||j.push(I),S.each(B(I),function(F){R(O,F,N,L,B,j)}),N&&j.push(I))}return dfs_1}var postorder_1,hasRequiredPostorder;function requirePostorder(){if(hasRequiredPostorder)return postorder_1;hasRequiredPostorder=1;var S=requireDfs();postorder_1=C;function C(R,O){return S(R,O,"post")}return postorder_1}var preorder_1,hasRequiredPreorder;function requirePreorder(){if(hasRequiredPreorder)return preorder_1;hasRequiredPreorder=1;var S=requireDfs();preorder_1=C;function C(R,O){return S(R,O,"pre")}return preorder_1}var prim_1,hasRequiredPrim;function requirePrim(){if(hasRequiredPrim)return prim_1;hasRequiredPrim=1;var S=requireLodash(),C=requireGraph(),R=requirePriorityQueue();prim_1=O;function O(I,N){var L=new C,B={},j=new R,F;function V(W){var X=W.v===F?W.w:W.v,J=j.priority(X);if(J!==void 0){var oe=N(W);oe<J&&(B[X]=F,j.decrease(X,oe))}}if(I.nodeCount()===0)return L;S.each(I.nodes(),function(W){j.add(W,Number.POSITIVE_INFINITY),L.setNode(W)}),j.decrease(I.nodes()[0],0);for(var K=!1;j.size()>0;){if(F=j.removeMin(),S.has(B,F))L.setEdge(F,B[F]);else{if(K)throw new Error("Input graph is not connected: "+I);K=!0}I.nodeEdges(F).forEach(V)}return L}return prim_1}var alg,hasRequiredAlg;function requireAlg(){return hasRequiredAlg||(hasRequiredAlg=1,alg={components:requireComponents(),dijkstra:requireDijkstra(),dijkstraAll:requireDijkstraAll(),findCycles:requireFindCycles(),floydWarshall:requireFloydWarshall(),isAcyclic:requireIsAcyclic(),postorder:requirePostorder(),preorder:requirePreorder(),prim:requirePrim(),tarjan:requireTarjan(),topsort:requireTopsort()}),alg}var graphlib$1,hasRequiredGraphlib;function requireGraphlib(){if(hasRequiredGraphlib)return graphlib$1;hasRequiredGraphlib=1;var S=requireLib();return graphlib$1={Graph:S.Graph,json:requireJson(),alg:requireAlg(),version:S.version},graphlib$1}var graphlib;if(typeof commonjsRequire$1=="function")try{graphlib=requireGraphlib()}catch{}graphlib||(graphlib=window.graphlib);var graphlib_1=graphlib,cloneDeep_1,hasRequiredCloneDeep;function requireCloneDeep(){if(hasRequiredCloneDeep)return cloneDeep_1;hasRequiredCloneDeep=1;var S=_baseClone,C=1,R=4;function O(I){return S(I,C|R)}return cloneDeep_1=O,cloneDeep_1}var 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S=require_assignMergeValue(),C=_cloneBufferExports,R=_cloneTypedArray,O=_copyArray,I=_initCloneObject,N=isArguments_1,L=isArray_1,B=requireIsArrayLikeObject(),j=isBufferExports,F=isFunction_1,V=isObject_1,K=isPlainObject_1,W=isTypedArray_1,X=require_safeGet(),J=requireToPlainObject();function oe(pe,me,xe,Ae,ge,Te,we){var ke=X(pe,xe),Be=X(me,xe),Ie=we.get(Be);if(Ie){S(pe,xe,Ie);return}var je=Te?Te(ke,Be,xe+"",pe,me,we):void 0,Ke=je===void 0;if(Ke){var Je=L(Be),Xe=!Je&&j(Be),ot=!Je&&!Xe&&W(Be);je=Be,Je||Xe||ot?L(ke)?je=ke:B(ke)?je=O(ke):Xe?(Ke=!1,je=C(Be,!0)):ot?(Ke=!1,je=R(Be,!0)):je=[]:K(Be)||N(Be)?(je=ke,N(ke)?je=J(ke):(!V(ke)||F(ke))&&(je=I(Be))):Ke=!1}Ke&&(we.set(Be,je),ge(je,Be,Ae,Te,we),we.delete(Be)),S(pe,xe,je)}return _baseMergeDeep=oe,_baseMergeDeep}var _baseMerge,hasRequired_baseMerge;function require_baseMerge(){if(hasRequired_baseMerge)return _baseMerge;hasRequired_baseMerge=1;var 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C={},R=_$d.filter(S.nodes(),function(B){return!S.children(B).length}),O=_$d.max(_$d.map(R,function(B){return S.node(B).rank})),I=_$d.map(_$d.range(O+1),function(){return[]});function N(B){if(!_$d.has(C,B)){C[B]=!0;var j=S.node(B);I[j.rank].push(B),_$d.forEach(S.successors(B),N)}}var L=_$d.sortBy(R,function(B){return S.node(B).rank});return _$d.forEach(L,N),I}var _$c=lodash_1,crossCount_1=crossCount$1;function crossCount$1(S,C){for(var R=0,O=1;O<C.length;++O)R+=twoLayerCrossCount(S,C[O-1],C[O]);return R}function twoLayerCrossCount(S,C,R){for(var O=_$c.zipObject(R,_$c.map(R,function(F,V){return V})),I=_$c.flatten(_$c.map(C,function(F){return _$c.sortBy(_$c.map(S.outEdges(F),function(V){return{pos:O[V.w],weight:S.edge(V).weight}}),"pos")}),!0),N=1;N<R.length;)N<<=1;var L=2*N-1;N-=1;var B=_$c.map(new Array(L),function(){return 0}),j=0;return _$c.forEach(I.forEach(function(F){var V=F.pos+N;B[V]+=F.weight;for(var K=0;V>0;)V%2&&(K+=B[V+1]),V=V-1>>1,B[V]+=F.weight;j+=F.weight*K})),j}var _$b=lodash_1,barycenter_1=barycenter$1;function barycenter$1(S,C){return _$b.map(C,function(R){var O=S.inEdges(R);if(O.length){var I=_$b.reduce(O,function(N,L){var B=S.edge(L),j=S.node(L.v);return{sum:N.sum+B.weight*j.order,weight:N.weight+B.weight}},{sum:0,weight:0});return{v:R,barycenter:I.sum/I.weight,weight:I.weight}}else return{v:R}})}var _$a=lodash_1,resolveConflicts_1=resolveConflicts$1;function resolveConflicts$1(S,C){var R={};_$a.forEach(S,function(I,N){var L=R[I.v]={indegree:0,in:[],out:[],vs:[I.v],i:N};_$a.isUndefined(I.barycenter)||(L.barycenter=I.barycenter,L.weight=I.weight)}),_$a.forEach(C.edges(),function(I){var N=R[I.v],L=R[I.w];!_$a.isUndefined(N)&&!_$a.isUndefined(L)&&(L.indegree++,N.out.push(R[I.w]))});var O=_$a.filter(R,function(I){return!I.indegree});return doResolveConflicts(O)}function doResolveConflicts(S){var C=[];function R(N){return function(L){L.merged||(_$a.isUndefined(L.barycenter)||_$a.isUndefined(N.barycenter)||L.barycenter>=N.barycenter)&&mergeEntries(N,L)}}function O(N){return function(L){L.in.push(N),--L.indegree===0&&S.push(L)}}for(;S.length;){var I=S.pop();C.push(I),_$a.forEach(I.in.reverse(),R(I)),_$a.forEach(I.out,O(I))}return _$a.map(_$a.filter(C,function(N){return!N.merged}),function(N){return _$a.pick(N,["vs","i","barycenter","weight"])})}function mergeEntries(S,C){var R=0,O=0;S.weight&&(R+=S.barycenter*S.weight,O+=S.weight),C.weight&&(R+=C.barycenter*C.weight,O+=C.weight),S.vs=C.vs.concat(S.vs),S.barycenter=R/O,S.weight=O,S.i=Math.min(C.i,S.i),C.merged=!0}var _$9=lodash_1,util$5=util$a,sort_1=sort$1;function sort$1(S,C){var R=util$5.partition(S,function(V){return 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oe=sortSubgraph$1(S,J.v,R,O);j[J.v]=oe,_$8.has(oe,"barycenter")&&mergeBarycenters(J,oe)}});var V=resolveConflicts(F,R);expandSubgraphs(V,j);var K=sort(V,O);if(L&&(K.vs=_$8.flatten([L,K.vs,B],!0),S.predecessors(L).length)){var W=S.node(S.predecessors(L)[0]),X=S.node(S.predecessors(B)[0]);_$8.has(K,"barycenter")||(K.barycenter=0,K.weight=0),K.barycenter=(K.barycenter*K.weight+W.order+X.order)/(K.weight+2),K.weight+=2}return K}function expandSubgraphs(S,C){_$8.forEach(S,function(R){R.vs=_$8.flatten(R.vs.map(function(O){return C[O]?C[O].vs:O}),!0)})}function mergeBarycenters(S,C){_$8.isUndefined(S.barycenter)?(S.barycenter=C.barycenter,S.weight=C.weight):(S.barycenter=(S.barycenter*S.weight+C.barycenter*C.weight)/(S.weight+C.weight),S.weight+=C.weight)}var _$7=lodash_1,Graph$5=graphlib_1.Graph,buildLayerGraph_1=buildLayerGraph$1;function buildLayerGraph$1(S,C,R){var O=createRootNode(S),I=new Graph$5({compound:!0}).setGraph({root:O}).setDefaultNodeLabel(function(N){return S.node(N)});return _$7.forEach(S.nodes(),function(N){var L=S.node(N),B=S.parent(N);(L.rank===C||L.minRank<=C&&C<=L.maxRank)&&(I.setNode(N),I.setParent(N,B||O),_$7.forEach(S[R](N),function(j){var F=j.v===N?j.w:j.v,V=I.edge(F,N),K=_$7.isUndefined(V)?0:V.weight;I.setEdge(F,N,{weight:S.edge(j).weight+K})}),_$7.has(L,"minRank")&&I.setNode(N,{borderLeft:L.borderLeft[C],borderRight:L.borderRight[C]}))}),I}function createRootNode(S){for(var C;S.hasNode(C=_$7.uniqueId("_root")););return C}var _$6=lodash_1,addSubgraphConstraints_1=addSubgraphConstraints$1;function addSubgraphConstraints$1(S,C,R){var O={},I;_$6.forEach(R,function(N){for(var L=S.parent(N),B,j;L;){if(B=S.parent(L),B?(j=O[B],O[B]=L):(j=I,I=L),j&&j!==L){C.setEdge(j,L);return}L=B}})}var _$5=lodash_1,initOrder=initOrder_1,crossCount=crossCount_1,sortSubgraph=sortSubgraph_1,buildLayerGraph=buildLayerGraph_1,addSubgraphConstraints=addSubgraphConstraints_1,Graph$4=graphlib_1.Graph,util$4=util$a,order_1=order$1;function order$1(S){var C=util$4.maxRank(S),R=buildLayerGraphs(S,_$5.range(1,C+1),"inEdges"),O=buildLayerGraphs(S,_$5.range(C-1,-1,-1),"outEdges"),I=initOrder(S);assignOrder(S,I);for(var N=Number.POSITIVE_INFINITY,L,B=0,j=0;j<4;++B,++j){sweepLayerGraphs(B%2?R:O,B%4>=2),I=util$4.buildLayerMatrix(S);var F=crossCount(S,I);F<N&&(j=0,L=_$5.cloneDeep(I),N=F)}assignOrder(S,L)}function buildLayerGraphs(S,C,R){return _$5.map(C,function(O){return buildLayerGraph(S,O,R)})}function sweepLayerGraphs(S,C){var R=new Graph$4;_$5.forEach(S,function(O){var I=O.graph().root,N=sortSubgraph(O,I,R,C);_$5.forEach(N.vs,function(L,B){O.node(L).order=B}),addSubgraphConstraints(O,R,N.vs)})}function assignOrder(S,C){_$5.forEach(C,function(R){_$5.forEach(R,function(O,I){S.node(O).order=I})})}var _$4=lodash_1,Graph$3=graphlib_1.Graph,util$3=util$a,bk={positionX:positionX$1,findType1Conflicts,findType2Conflicts,addConflict,hasConflict,verticalAlignment,horizontalCompaction,alignCoordinates,findSmallestWidthAlignment,balance};function findType1Conflicts(S,C){var R={};function O(I,N){var L=0,B=0,j=I.length,F=_$4.last(N);return _$4.forEach(N,function(V,K){var W=findOtherInnerSegmentNode(S,V),X=W?S.node(W).order:j;(W||V===F)&&(_$4.forEach(N.slice(B,K+1),function(J){_$4.forEach(S.predecessors(J),function(oe){var pe=S.node(oe),me=pe.order;(me<L||X<me)&&!(pe.dummy&&S.node(J).dummy)&&addConflict(R,oe,J)})}),B=K+1,L=X)}),N}return _$4.reduce(C,O),R}function findType2Conflicts(S,C){var R={};function O(N,L,B,j,F){var V;_$4.forEach(_$4.range(L,B),function(K){V=N[K],S.node(V).dummy&&_$4.forEach(S.predecessors(V),function(W){var X=S.node(W);X.dummy&&(X.order<j||X.order>F)&&addConflict(R,W,V)})})}function I(N,L){var B=-1,j,F=0;return _$4.forEach(L,function(V,K){if(S.node(V).dummy==="border"){var W=S.predecessors(V);W.length&&(j=S.node(W[0]).order,O(L,F,K,B,j),F=K,B=j)}O(L,F,L.length,j,N.length)}),L}return _$4.reduce(C,I),R}function findOtherInnerSegmentNode(S,C){if(S.node(C).dummy)return _$4.find(S.predecessors(C),function(R){return S.node(R).dummy})}function addConflict(S,C,R){if(C>R){var O=C;C=R,R=O}var I=S[C];I||(S[C]=I={}),I[R]=!0}function hasConflict(S,C,R){if(C>R){var O=C;C=R,R=O}return _$4.has(S[C],R)}function verticalAlignment(S,C,R,O){var I={},N={},L={};return _$4.forEach(C,function(B){_$4.forEach(B,function(j,F){I[j]=j,N[j]=j,L[j]=F})}),_$4.forEach(C,function(B){var j=-1;_$4.forEach(B,function(F){var V=O(F);if(V.length){V=_$4.sortBy(V,function(oe){return L[oe]});for(var K=(V.length-1)/2,W=Math.floor(K),X=Math.ceil(K);W<=X;++W){var J=V[W];N[F]===F&&j<L[J]&&!hasConflict(R,F,J)&&(N[J]=F,N[F]=I[F]=I[J],j=L[J])}}})}),{root:I,align:N}}function horizontalCompaction(S,C,R,O,I){var N={},L=buildBlockGraph(S,C,R,I),B=I?"borderLeft":"borderRight";function j(K,W){for(var X=L.nodes(),J=X.pop(),oe={};J;)oe[J]?K(J):(oe[J]=!0,X.push(J),X=X.concat(W(J))),J=X.pop()}function F(K){N[K]=L.inEdges(K).reduce(function(W,X){return Math.max(W,N[X.v]+L.edge(X))},0)}function V(K){var W=L.outEdges(K).reduce(function(J,oe){return Math.min(J,N[oe.w]-L.edge(oe))},Number.POSITIVE_INFINITY),X=S.node(K);W!==Number.POSITIVE_INFINITY&&X.borderType!==B&&(N[K]=Math.max(N[K],W))}return j(F,L.predecessors.bind(L)),j(V,L.successors.bind(L)),_$4.forEach(O,function(K){N[K]=N[R[K]]}),N}function buildBlockGraph(S,C,R,O){var I=new Graph$3,N=S.graph(),L=sep(N.nodesep,N.edgesep,O);return _$4.forEach(C,function(B){var j;_$4.forEach(B,function(F){var V=R[F];if(I.setNode(V),j){var K=R[j],W=I.edge(K,V);I.setEdge(K,V,Math.max(L(S,F,j),W||0))}j=F})}),I}function findSmallestWidthAlignment(S,C){return _$4.minBy(_$4.values(C),function(R){var O=Number.NEGATIVE_INFINITY,I=Number.POSITIVE_INFINITY;return _$4.forIn(R,function(N,L){var B=width(S,L)/2;O=Math.max(N+B,O),I=Math.min(N-B,I)}),O-I})}function alignCoordinates(S,C){var R=_$4.values(C),O=_$4.min(R),I=_$4.max(R);_$4.forEach(["u","d"],function(N){_$4.forEach(["l","r"],function(L){var B=N+L,j=S[B],F;if(j!==C){var V=_$4.values(j);F=L==="l"?O-_$4.min(V):I-_$4.max(V),F&&(S[B]=_$4.mapValues(j,function(K){return K+F}))}})})}function balance(S,C){return _$4.mapValues(S.ul,function(R,O){if(C)return S[C.toLowerCase()][O];var I=_$4.sortBy(_$4.map(S,O));return(I[1]+I[2])/2})}function positionX$1(S){var C=util$3.buildLayerMatrix(S),R=_$4.merge(findType1Conflicts(S,C),findType2Conflicts(S,C)),O={},I;_$4.forEach(["u","d"],function(L){I=L==="u"?C:_$4.values(C).reverse(),_$4.forEach(["l","r"],function(B){B==="r"&&(I=_$4.map(I,function(K){return _$4.values(K).reverse()}));var j=(L==="u"?S.predecessors:S.successors).bind(S),F=verticalAlignment(S,I,R,j),V=horizontalCompaction(S,I,F.root,F.align,B==="r");B==="r"&&(V=_$4.mapValues(V,function(K){return-K})),O[L+B]=V})});var N=findSmallestWidthAlignment(S,O);return alignCoordinates(O,N),balance(O,S.graph().align)}function sep(S,C,R){return function(O,I,N){var L=O.node(I),B=O.node(N),j=0,F;if(j+=L.width/2,_$4.has(L,"labelpos"))switch(L.labelpos.toLowerCase()){case"l":F=-L.width/2;break;case"r":F=L.width/2;break}if(F&&(j+=R?F:-F),F=0,j+=(L.dummy?C:S)/2,j+=(B.dummy?C:S)/2,j+=B.width/2,_$4.has(B,"labelpos"))switch(B.labelpos.toLowerCase()){case"l":F=B.width/2;break;case"r":F=-B.width/2;break}return F&&(j+=R?F:-F),F=0,j}}function width(S,C){return S.node(C).width}var _$3=lodash_1,util$2=util$a,positionX=bk.positionX,position_1=position$2;function position$2(S){S=util$2.asNonCompoundGraph(S),positionY(S),_$3.forEach(positionX(S),function(C,R){S.node(R).x=C})}function positionY(S){var C=util$2.buildLayerMatrix(S),R=S.graph().ranksep,O=0;_$3.forEach(C,function(I){var N=_$3.max(_$3.map(I,function(L){return S.node(L).height}));_$3.forEach(I,function(L){S.node(L).y=O+N/2}),O+=N+R})}var _$2=lodash_1,acyclic=acyclic$1,normalize$3=normalize$4,rank=rank_1,normalizeRanks=util$a.normalizeRanks,parentDummyChains=parentDummyChains_1,removeEmptyRanks=util$a.removeEmptyRanks,nestingGraph=nestingGraph$1,addBorderSegments=addBorderSegments_1,coordinateSystem=coordinateSystem$1,order=order_1,position$1=position_1,util$1=util$a,Graph$2=graphlib_1.Graph,layout_1=layout;function layout(S,C){var R=C&&C.debugTiming?util$1.time:util$1.notime;R("layout",function(){var O=R("  buildLayoutGraph",function(){return buildLayoutGraph(S)});R("  runLayout",function(){runLayout(O,R)}),R("  updateInputGraph",function(){updateInputGraph(S,O)})})}function runLayout(S,C){C("    makeSpaceForEdgeLabels",function(){makeSpaceForEdgeLabels(S)}),C("    removeSelfEdges",function(){removeSelfEdges(S)}),C("    acyclic",function(){acyclic.run(S)}),C("    nestingGraph.run",function(){nestingGraph.run(S)}),C("    rank",function(){rank(util$1.asNonCompoundGraph(S))}),C("    injectEdgeLabelProxies",function(){injectEdgeLabelProxies(S)}),C("    removeEmptyRanks",function(){removeEmptyRanks(S)}),C("    nestingGraph.cleanup",function(){nestingGraph.cleanup(S)}),C("    normalizeRanks",function(){normalizeRanks(S)}),C("    assignRankMinMax",function(){assignRankMinMax(S)}),C("    removeEdgeLabelProxies",function(){removeEdgeLabelProxies(S)}),C("    normalize.run",function(){normalize$3.run(S)}),C("    parentDummyChains",function(){parentDummyChains(S)}),C("    addBorderSegments",function(){addBorderSegments(S)}),C("    order",function(){order(S)}),C("    insertSelfEdges",function(){insertSelfEdges(S)}),C("    adjustCoordinateSystem",function(){coordinateSystem.adjust(S)}),C("    position",function(){position$1(S)}),C("    positionSelfEdges",function(){positionSelfEdges(S)}),C("    removeBorderNodes",function(){removeBorderNodes(S)}),C("    normalize.undo",function(){normalize$3.undo(S)}),C("    fixupEdgeLabelCoords",function(){fixupEdgeLabelCoords(S)}),C("    undoCoordinateSystem",function(){coordinateSystem.undo(S)}),C("    translateGraph",function(){translateGraph(S)}),C("    assignNodeIntersects",function(){assignNodeIntersects(S)}),C("    reversePoints",function(){reversePointsForReversedEdges(S)}),C("    acyclic.undo",function(){acyclic.undo(S)})}function updateInputGraph(S,C){_$2.forEach(S.nodes(),function(R){var O=S.node(R),I=C.node(R);O&&(O.x=I.x,O.y=I.y,C.children(R).length&&(O.width=I.width,O.height=I.height))}),_$2.forEach(S.edges(),function(R){var O=S.edge(R),I=C.edge(R);O.points=I.points,_$2.has(I,"x")&&(O.x=I.x,O.y=I.y)}),S.graph().width=C.graph().width,S.graph().height=C.graph().height}var graphNumAttrs=["nodesep","edgesep","ranksep","marginx","marginy"],graphDefaults={ranksep:50,edgesep:20,nodesep:50,rankdir:"tb"},graphAttrs=["acyclicer","ranker","rankdir","align"],nodeNumAttrs=["width","height"],nodeDefaults={width:0,height:0},edgeNumAttrs=["minlen","weight","width","height","labeloffset"],edgeDefaults={minlen:1,weight:1,width:0,height:0,labeloffset:10,labelpos:"r"},edgeAttrs=["labelpos"];function buildLayoutGraph(S){var C=new Graph$2({multigraph:!0,compound:!0}),R=canonicalize(S.graph());return C.setGraph(_$2.merge({},graphDefaults,selectNumberAttrs(R,graphNumAttrs),_$2.pick(R,graphAttrs))),_$2.forEach(S.nodes(),function(O){var I=canonicalize(S.node(O));C.setNode(O,_$2.defaults(selectNumberAttrs(I,nodeNumAttrs),nodeDefaults)),C.setParent(O,S.parent(O))}),_$2.forEach(S.edges(),function(O){var I=canonicalize(S.edge(O));C.setEdge(O,_$2.merge({},edgeDefaults,selectNumberAttrs(I,edgeNumAttrs),_$2.pick(I,edgeAttrs)))}),C}function makeSpaceForEdgeLabels(S){var C=S.graph();C.ranksep/=2,_$2.forEach(S.edges(),function(R){var O=S.edge(R);O.minlen*=2,O.labelpos.toLowerCase()!=="c"&&(C.rankdir==="TB"||C.rankdir==="BT"?O.width+=O.labeloffset:O.height+=O.labeloffset)})}function injectEdgeLabelProxies(S){_$2.forEach(S.edges(),function(C){var R=S.edge(C);if(R.width&&R.height){var O=S.node(C.v),I=S.node(C.w),N={rank:(I.rank-O.rank)/2+O.rank,e:C};util$1.addDummyNode(S,"edge-proxy",N,"_ep")}})}function assignRankMinMax(S){var C=0;_$2.forEach(S.nodes(),function(R){var O=S.node(R);O.borderTop&&(O.minRank=S.node(O.borderTop).rank,O.maxRank=S.node(O.borderBottom).rank,C=_$2.max(C,O.maxRank))}),S.graph().maxRank=C}function removeEdgeLabelProxies(S){_$2.forEach(S.nodes(),function(C){var R=S.node(C);R.dummy==="edge-proxy"&&(S.edge(R.e).labelRank=R.rank,S.removeNode(C))})}function translateGraph(S){var C=Number.POSITIVE_INFINITY,R=0,O=Number.POSITIVE_INFINITY,I=0,N=S.graph(),L=N.marginx||0,B=N.marginy||0;function j(F){var V=F.x,K=F.y,W=F.width,X=F.height;C=Math.min(C,V-W/2),R=Math.max(R,V+W/2),O=Math.min(O,K-X/2),I=Math.max(I,K+X/2)}_$2.forEach(S.nodes(),function(F){j(S.node(F))}),_$2.forEach(S.edges(),function(F){var V=S.edge(F);_$2.has(V,"x")&&j(V)}),C-=L,O-=B,_$2.forEach(S.nodes(),function(F){var V=S.node(F);V.x-=C,V.y-=O}),_$2.forEach(S.edges(),function(F){var V=S.edge(F);_$2.forEach(V.points,function(K){K.x-=C,K.y-=O}),_$2.has(V,"x")&&(V.x-=C),_$2.has(V,"y")&&(V.y-=O)}),N.width=R-C+L,N.height=I-O+B}function assignNodeIntersects(S){_$2.forEach(S.edges(),function(C){var R=S.edge(C),O=S.node(C.v),I=S.node(C.w),N,L;R.points?(N=R.points[0],L=R.points[R.points.length-1]):(R.points=[],N=I,L=O),R.points.unshift(util$1.intersectRect(O,N)),R.points.push(util$1.intersectRect(I,L))})}function fixupEdgeLabelCoords(S){_$2.forEach(S.edges(),function(C){var R=S.edge(C);if(_$2.has(R,"x"))switch((R.labelpos==="l"||R.labelpos==="r")&&(R.width-=R.labeloffset),R.labelpos){case"l":R.x-=R.width/2+R.labeloffset;break;case"r":R.x+=R.width/2+R.labeloffset;break}})}function reversePointsForReversedEdges(S){_$2.forEach(S.edges(),function(C){var R=S.edge(C);R.reversed&&R.points.reverse()})}function removeBorderNodes(S){_$2.forEach(S.nodes(),function(C){if(S.children(C).length){var R=S.node(C),O=S.node(R.borderTop),I=S.node(R.borderBottom),N=S.node(_$2.last(R.borderLeft)),L=S.node(_$2.last(R.borderRight));R.width=Math.abs(L.x-N.x),R.height=Math.abs(I.y-O.y),R.x=N.x+R.width/2,R.y=O.y+R.height/2}}),_$2.forEach(S.nodes(),function(C){S.node(C).dummy==="border"&&S.removeNode(C)})}function removeSelfEdges(S){_$2.forEach(S.edges(),function(C){if(C.v===C.w){var R=S.node(C.v);R.selfEdges||(R.selfEdges=[]),R.selfEdges.push({e:C,label:S.edge(C)}),S.removeEdge(C)}})}function insertSelfEdges(S){var C=util$1.buildLayerMatrix(S);_$2.forEach(C,function(R){var O=0;_$2.forEach(R,function(I,N){var L=S.node(I);L.order=N+O,_$2.forEach(L.selfEdges,function(B){util$1.addDummyNode(S,"selfedge",{width:B.label.width,height:B.label.height,rank:L.rank,order:N+ ++O,e:B.e,label:B.label},"_se")}),delete L.selfEdges})})}function positionSelfEdges(S){_$2.forEach(S.nodes(),function(C){var R=S.node(C);if(R.dummy==="selfedge"){var O=S.node(R.e.v),I=O.x+O.width/2,N=O.y,L=R.x-I,B=O.height/2;S.setEdge(R.e,R.label),S.removeNode(C),R.label.points=[{x:I+2*L/3,y:N-B},{x:I+5*L/6,y:N-B},{x:I+L,y:N},{x:I+5*L/6,y:N+B},{x:I+2*L/3,y:N+B}],R.label.x=R.x,R.label.y=R.y}})}function selectNumberAttrs(S,C){return _$2.mapValues(_$2.pick(S,C),Number)}function canonicalize(S){var C={};return _$2.forEach(S,function(R,O){C[O.toLowerCase()]=R}),C}var _$1=lodash_1,util=util$a,Graph$1=graphlib_1.Graph,debug$1={debugOrdering};function debugOrdering(S){var C=util.buildLayerMatrix(S),R=new Graph$1({compound:!0,multigraph:!0}).setGraph({});return 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NON_PIXEL_NUMBER_PROPS$1=["column-count","font-weight","flex","flex-grow","flex-shrink","fill-opacity","opacity","order","z-index","zoom"];function provideUnits$1(S,C){var R=S[C],O=S[C+1];if(typeof O=="number"){var I=NON_PIXEL_NUMBER_PROPS$1.indexOf(R)>-1,N=R.indexOf("--")>-1,L=I||N?"":"px";S[C+1]="".concat(O).concat(L)}}var _a$9,LEFT$1="left",RIGHT$1="right",NO_FLIP$1="@noflip",NAME_REPLACEMENTS$1=(_a$9={},_a$9[LEFT$1]=RIGHT$1,_a$9[RIGHT$1]=LEFT$1,_a$9),VALUE_REPLACEMENTS$1={"w-resize":"e-resize","sw-resize":"se-resize","nw-resize":"ne-resize"};function rtlifyRules$1(S,C,R){if(S.rtl){var O=C[R];if(!O)return;var I=C[R+1];if(typeof I=="string"&&I.indexOf(NO_FLIP$1)>=0)C[R+1]=I.replace(/\s*(?:\/\*\s*)?\@noflip\b(?:\s*\*\/)?\s*?/g,"");else if(O.indexOf(LEFT$1)>=0)C[R]=O.replace(LEFT$1,RIGHT$1);else if(O.indexOf(RIGHT$1)>=0)C[R]=O.replace(RIGHT$1,LEFT$1);else if(String(I).indexOf(LEFT$1)>=0)C[R+1]=I.replace(LEFT$1,RIGHT$1);else 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S=getDocument();S&&S.body&&_bodyScrollDisabledCount===1&&(S.body.classList.remove(DisabledScrollClassName),S.body.removeEventListener("touchmove",_disableIosBodyScroll)),_bodyScrollDisabledCount--}}function getScrollbarWidth(){if(_scrollbarWidth===void 0){var S=document.createElement("div");S.style.setProperty("width","100px"),S.style.setProperty("height","100px"),S.style.setProperty("overflow","scroll"),S.style.setProperty("position","absolute"),S.style.setProperty("top","-9999px"),document.body.appendChild(S),_scrollbarWidth=S.offsetWidth-S.clientWidth,document.body.removeChild(S)}return _scrollbarWidth}function findScrollableParent(S){for(var C=S,R=getDocument(S);C&&C!==R.body;){if(C.getAttribute(DATA_IS_SCROLLABLE_ATTRIBUTE)==="true")return C;C=C.parentElement}for(C=S;C&&C!==R.body;){if(C.getAttribute(DATA_IS_SCROLLABLE_ATTRIBUTE)!=="false"){var O=getComputedStyle(C),I=O?O.getPropertyValue("overflow-y"):"";if(I&&(I==="scroll"||I==="auto"))return 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CustomizationsGlobalKey="customizations",NO_CUSTOMIZATIONS={settings:{},scopedSettings:{},inCustomizerContext:!1},_allSettings=GlobalSettings.getValue(CustomizationsGlobalKey,{settings:{},scopedSettings:{},inCustomizerContext:!1}),_events=[],Customizations=function(){function S(){}return S.reset=function(){_allSettings.settings={},_allSettings.scopedSettings={}},S.applySettings=function(C){_allSettings.settings=__assign$4(__assign$4({},_allSettings.settings),C),S._raiseChange()},S.applyScopedSettings=function(C,R){_allSettings.scopedSettings[C]=__assign$4(__assign$4({},_allSettings.scopedSettings[C]),R),S._raiseChange()},S.getSettings=function(C,R,O){O===void 0&&(O=NO_CUSTOMIZATIONS);for(var I={},N=R&&O.scopedSettings[R]||{},L=R&&_allSettings.scopedSettings[R]||{},B=0,j=C;B<j.length;B++){var F=j[B];I[F]=N[F]||O.settings[F]||L[F]||_allSettings.settings[F]}return 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R},baseElementEvents=toObjectMap(["onCopy","onCut","onPaste","onCompositionEnd","onCompositionStart","onCompositionUpdate","onFocus","onFocusCapture","onBlur","onBlurCapture","onChange","onInput","onSubmit","onLoad","onError","onKeyDown","onKeyDownCapture","onKeyPress","onKeyUp","onAbort","onCanPlay","onCanPlayThrough","onDurationChange","onEmptied","onEncrypted","onEnded","onLoadedData","onLoadedMetadata","onLoadStart","onPause","onPlay","onPlaying","onProgress","onRateChange","onSeeked","onSeeking","onStalled","onSuspend","onTimeUpdate","onVolumeChange","onWaiting","onClick","onClickCapture","onContextMenu","onDoubleClick","onDrag","onDragEnd","onDragEnter","onDragExit","onDragLeave","onDragOver","onDragStart","onDrop","onMouseDown","onMouseDownCapture","onMouseEnter","onMouseLeave","onMouseMove","onMouseOut","onMouseOver","onMouseUp","onMouseUpCapture","onSelect","onTouchCancel","onTouchEnd","onTouchMove","onTouchStart","onScroll","onWheel","onPointerCancel","onPointerDown","onPointerEnter","onPointerLeave","onPointerMove","onPointerOut","onPointerOver","onPointerUp","onGotPointerCapture","onLostPointerCapture"]),baseElementProperties=toObjectMap(["accessKey","children","className","contentEditable","dir","draggable","hidden","htmlFor","id","lang","ref","role","style","tabIndex","title","translate","spellCheck","name"]),htmlElementProperties=toObjectMap(baseElementProperties,baseElementEvents);toObjectMap(htmlElementProperties,["form"]);var audioProperties=toObjectMap(htmlElementProperties,["height","loop","muted","preload","src","width"]);toObjectMap(audioProperties,["poster"]),toObjectMap(htmlElementProperties,["start"]),toObjectMap(htmlElementProperties,["value"]);var anchorProperties=toObjectMap(htmlElementProperties,["download","href","hrefLang","media","rel","target","type"]),buttonProperties=toObjectMap(htmlElementProperties,["autoFocus","disabled","form","formAction","formEncType","formMethod","formNoValidate","formTarget","type","value"]);toObjectMap(buttonProperties,["accept","alt","autoCapitalize","autoComplete","checked","dirname","form","height","inputMode","list","max","maxLength","min","minLength","multiple","pattern","placeholder","readOnly","required","src","step","size","type","value","width"]),toObjectMap(buttonProperties,["autoCapitalize","cols","dirname","form","maxLength","minLength","placeholder","readOnly","required","rows","wrap"]),toObjectMap(buttonProperties,["form","multiple","required"]),toObjectMap(htmlElementProperties,["selected","value"]),toObjectMap(htmlElementProperties,["cellPadding","cellSpacing"]),toObjectMap(htmlElementProperties,["rowSpan","scope"]),toObjectMap(htmlElementProperties,["colSpan","headers","rowSpan","scope"]),toObjectMap(htmlElementProperties,["span"]),toObjectMap(htmlElementProperties,["span"]),toObjectMap(htmlElementProperties,["acceptCharset","action","encType","encType","method","noValidate","target"]),toObjectMap(htmlElementProperties,["allow","allowFullScreen","allowPaymentRequest","allowTransparency","csp","height","importance","referrerPolicy","sandbox","src","srcDoc","width"]);var 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C=getDocument(),R=S==="localStorage"?getItem(STORAGE_KEY):S==="sessionStorage"?getItem$1(STORAGE_KEY):void 0;R&&(_language=R),_language===void 0&&C&&(_language=C.documentElement.getAttribute("lang")),_language===void 0&&(_language="en")}return _language}function merge$4(S){for(var C=[],R=1;R<arguments.length;R++)C[R-1]=arguments[R];for(var O=0,I=C;O<I.length;O++){var N=I[O];_merge(S||{},N)}return S}function _merge(S,C,R){R===void 0&&(R=[]),R.push(C);for(var O in C)if(C.hasOwnProperty(O)&&O!=="__proto__"&&O!=="constructor"&&O!=="prototype"){var I=C[O];if(typeof I=="object"&&I!==null&&!Array.isArray(I)){var N=R.indexOf(I)>-1;S[O]=N?I:_merge(S[O]||{},I,R)}else S[O]=I}return R.pop(),S}var isIOS=function(){return!window||!window.navigator||!window.navigator.userAgent?!1:/iPad|iPhone|iPod/i.test(window.navigator.userAgent)},tagsToIgnore=["TEMPLATE","STYLE","SCRIPT"];function modalize(S){var C=getDocument(S);if(!C)return function(){};for(var R=[];S!==C.body&&S.parentElement;){for(var O=0,I=S.parentElement.children;O<I.length;O++){var N=I[O],L=N.getAttribute("aria-hidden");N!==S&&(L==null?void 0:L.toLowerCase())!=="true"&&tagsToIgnore.indexOf(N.tagName)===-1&&R.push([N,L])}S=S.parentElement}return R.forEach(function(B){var j=B[0];j.setAttribute("aria-hidden","true")}),function(){unmodalize(R),R=[]}}function unmodalize(S){S.forEach(function(C){var R=C[0],O=C[1];O?R.setAttribute("aria-hidden",O):R.removeAttribute("aria-hidden")})}var isMacResult;function isMac(S){var C;if(typeof isMacResult>"u"||S){var R=getWindow(),O=(C=R==null?void 0:R.navigator)===null||C===void 0?void 0:C.userAgent;isMacResult=!!O&&O.indexOf("Macintosh")!==-1}return!!isMacResult}function createComposedRenderFunction(S){var C=createMemoizer(function(R){var O=createMemoizer(function(I){return function(N){return R(N,I)}});return function(I,N){return S(I,N?O(N):R)}});return C}var memoizer=createMemoizer(createComposedRenderFunction);function composeRenderFunction(S,C){return memoizer(S)(C)}var DefaultFields=["theme","styles"];function styled(S,C,R,O,I){O=O||{scope:"",fields:void 0};var N=O.scope,L=O.fields,B=L===void 0?DefaultFields:L,j=reactExports.forwardRef(function(V,K){var W=reactExports.useRef(),X=useCustomizationSettings(B,N),J=X.styles;X.dir;var oe=__rest$1(X,["styles","dir"]),pe=R?R(V):void 0,me=W.current&&W.current.__cachedInputs__||[],xe=V.styles;if(!W.current||J!==me[1]||xe!==me[2]){var Ae=function(ge){return concatStyleSetsWithProps(ge,C,J,xe)};Ae.__cachedInputs__=[C,J,xe],Ae.__noStyleOverride__=!J&&!xe,W.current=Ae}return reactExports.createElement(S,__assign$4({ref:K},oe,pe,V,{styles:W.current}))});j.displayName="Styled".concat(S.displayName||S.name);var F=I?reactExports.memo(j):j;return j.displayName&&(F.displayName=j.displayName),F}var define_process_env_default$F={},warningsMap;define_process_env_default$F.NODE_ENV!=="production"&&(warningsMap={valueOnChange:{},valueDefaultValue:{},controlledToUncontrolled:{},uncontrolledToControlled:{}});function warnControlledUsage(S){if(define_process_env_default$F.NODE_ENV!=="production"){var C=S.componentId,R=S.componentName,O=S.defaultValueProp,I=S.props,N=S.oldProps,L=S.onChangeProp,B=S.readOnlyProp,j=S.valueProp,F=N?isControlled(N,j):void 0,V=isControlled(I,j);if(V){var K=!!I[L],W=!!(B&&I[B]);!(K||W)&&!warningsMap.valueOnChange[C]&&(warningsMap.valueOnChange[C]=!0,warn$2("Warning: You provided a '".concat(String(j),"' prop to a ").concat(String(R)," without an '").concat(String(L),"' handler. 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More info: https://fb.me/react-controlled-components"))}}}function getPropsWithDefaults(S,C){for(var R=__assign$4({},C),O=0,I=Object.keys(S);O<I.length;O++){var N=I[O];R[N]===void 0&&(R[N]=S[N])}return R}var createResolver=function(S){return function(C){for(var R=0,O=S.refs;R<O.length;R++){var I=O[R];typeof I=="function"?I(C):I&&(I.current=C)}}},createMergedRef=function(S){var C={refs:[]};return function(){for(var R=[],O=0;O<arguments.length;O++)R[O]=arguments[O];return(!C.resolver||!arraysEqual(C.refs,R))&&(C.resolver=createResolver(C)),C.refs=R,C.resolver}},useIsomorphicLayoutEffect=canUseDOM$2()?reactExports.useLayoutEffect:reactExports.useEffect,ICON_SETTING_NAME="icons",_iconSettings=GlobalSettings.getValue(ICON_SETTING_NAME,{__options:{disableWarnings:!1,warnOnMissingIcons:!0},__remapped:{}}),stylesheet=Stylesheet$1.getInstance();stylesheet&&stylesheet.onReset&&stylesheet.onReset(function(){for(var S in _iconSettings)_iconSettings.hasOwnProperty(S)&&_iconSettings[S].subset&&(_iconSettings[S].subset.className=void 0)});var normalizeIconName=function(S){return S.toLowerCase()};function registerIcons(S,C){var R=__assign$4(__assign$4({},S),{isRegistered:!1,className:void 0}),O=S.icons;C=C?__assign$4(__assign$4({},_iconSettings.__options),C):_iconSettings.__options;for(var I in O)if(O.hasOwnProperty(I)){var N=O[I],L=normalizeIconName(I);_iconSettings[L]?_warnDuplicateIcon(I):_iconSettings[L]={code:N,subset:R}}}function getIcon(S){var C=void 0,R=_iconSettings.__options;if(S=S?normalizeIconName(S):"",S=_iconSettings.__remapped[S]||S,S)if(C=_iconSettings[S],C){var O=C.subset;O&&O.fontFace&&(O.isRegistered||(fontFace(O.fontFace),O.isRegistered=!0),O.className||(O.className=mergeStyles$1(O.style,{fontFamily:O.fontFace.fontFamily,fontWeight:O.fontFace.fontWeight||"normal",fontStyle:O.fontFace.fontStyle||"normal"})))}else!R.disableWarnings&&R.warnOnMissingIcons&&warn$2('The icon "'.concat(S,'" was used but not registered. 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N={},L=S||{},B=L.white,j=L.black,F=L.themePrimary,V=L.themeDark,K=L.themeDarker,W=L.themeDarkAlt,X=L.themeLighter,J=L.neutralLight,oe=L.neutralLighter,pe=L.neutralDark,me=L.neutralQuaternary,xe=L.neutralQuaternaryAlt,Ae=L.neutralPrimary,ge=L.neutralSecondary,Te=L.neutralSecondaryAlt,we=L.neutralTertiary,ke=L.neutralTertiaryAlt,Be=L.neutralLighterAlt,Ie=L.accent;return 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tt=V.previouslyFocusedElementInTrapZone;if(pe&&tt&&elementContains(O.current,tt)){Be(tt);return}var Ue=null;if(typeof xe=="string")Ue=O.current.querySelector(xe);else if(xe)Ue=xe(O.current);else if(me){var et=typeof me=="string"?me:me();Ue=O.current.querySelector("."+et)}Ue||(Ue=getNextElement(O.current,O.current.firstChild,!1,!1,!1,!0)),Ue&&Be(Ue)}}),je=function(tt){if(!(X||!O.current)){var Ue=tt===V.hasFocus?getLastTabbable(O.current,N.current,!0,!1):getFirstTabbable(O.current,I.current,!0,!1);Ue&&(Ue===I.current||Ue===N.current?Ie():Ue.focus())}},Ke=function(tt){var Ue;(Ue=F.onBlurCapture)===null||Ue===void 0||Ue.call(F,tt);var et=tt.relatedTarget;tt.relatedTarget===null&&(et=B.activeElement),elementContains(O.current,et)||(V.hasFocus=!1)},Je=function(tt){var Ue;(Ue=F.onFocusCapture)===null||Ue===void 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Ue()})}},[oe,Te]),reactExports.useEffect(function(){if(!(X||!j&&!oe||!O.current)){FocusTrapZone.focusStack.push(V.focusStackId);var tt=F.elementToFocusOnDismiss||B.activeElement;return!J&&!elementContains(O.current,tt)&&Ie(),function(){return Xe(tt)}}},[oe,X]),reactExports.useEffect(function(){if(!X&&we){var tt=modalize(O.current);return tt}},[X,we,O]),useUnmount(function(){delete V.previouslyFocusedElementInTrapZone}),useComponentRef$1(W,V.previouslyFocusedElementInTrapZone,Ie),reactExports.createElement("div",__assign$4({"aria-labelledby":F.ariaLabelledBy},getNativeProps(F,divProperties),{ref:L,onFocusCapture:Je,onBlurCapture:Ke}),reactExports.createElement("div",__assign$4({},ke,{ref:I})),K,reactExports.createElement("div",__assign$4({},ke,{ref:N})))});FocusTrapZone.displayName=COMPONENT_NAME$1,FocusTrapZone.focusStack=[];var IconType;(function(S){S[S.default=0]="default",S[S.image=1]="image",S[S.Default=1e5]="Default",S[S.Image=100001]="Image"})(IconType||(IconType={}));var ImageFit;(function(S){S[S.center=0]="center",S[S.contain=1]="contain",S[S.cover=2]="cover",S[S.none=3]="none",S[S.centerCover=4]="centerCover",S[S.centerContain=5]="centerContain"})(ImageFit||(ImageFit={}));var ImageCoverStyle;(function(S){S[S.landscape=0]="landscape",S[S.portrait=1]="portrait"})(ImageCoverStyle||(ImageCoverStyle={}));var ImageLoadState;(function(S){S[S.notLoaded=0]="notLoaded",S[S.loaded=1]="loaded",S[S.error=2]="error",S[S.errorLoaded=3]="errorLoaded"})(ImageLoadState||(ImageLoadState={}));var getClassNames$6=classNamesFunction(),SVG_REGEX=/\.svg$/i,KEY_PREFIX="fabricImage";function useLoadState(S,C){var R=S.onLoadingStateChange,O=S.onLoad,I=S.onError,N=S.src,L=reactExports.useState(ImageLoadState.notLoaded),B=L[0],j=L[1];useIsomorphicLayoutEffect(function(){j(ImageLoadState.notLoaded)},[N]),reactExports.useEffect(function(){if(B===ImageLoadState.notLoaded){var K=C.current?N&&C.current.naturalWidth>0&&C.current.naturalHeight>0||C.current.complete&&SVG_REGEX.test(N):!1;K&&j(ImageLoadState.loaded)}}),reactExports.useEffect(function(){R==null||R(B)},[B]);var F=reactExports.useCallback(function(K){O==null||O(K),N&&j(ImageLoadState.loaded)},[N,O]),V=reactExports.useCallback(function(K){I==null||I(K),j(ImageLoadState.error)},[I]);return[B,F,V]}var ImageBase=reactExports.forwardRef(function(S,C){var R=reactExports.useRef(),O=reactExports.useRef(),I=useLoadState(S,O),N=I[0],L=I[1],B=I[2],j=getNativeProps(S,imgProperties,["width","height"]),F=S.src,V=S.alt,K=S.width,W=S.height,X=S.shouldFadeIn,J=X===void 0?!0:X,oe=S.shouldStartVisible,pe=S.className,me=S.imageFit,xe=S.role,Ae=S.maximizeFrame,ge=S.styles,Te=S.theme,we=S.loading,ke=useCoverStyle(S,N,O,R),Be=getClassNames$6(ge,{theme:Te,className:pe,width:K,height:W,maximizeFrame:Ae,shouldFadeIn:J,shouldStartVisible:oe,isLoaded:N===ImageLoadState.loaded||N===ImageLoadState.notLoaded&&S.shouldStartVisible,isLandscape:ke===ImageCoverStyle.landscape,isCenter:me===ImageFit.center,isCenterContain:me===ImageFit.centerContain,isCenterCover:me===ImageFit.centerCover,isContain:me===ImageFit.contain,isCover:me===ImageFit.cover,isNone:me===ImageFit.none,isError:N===ImageLoadState.error,isNotImageFit:me===void 0});return reactExports.createElement("div",{className:Be.root,style:{width:K,height:W},ref:R},reactExports.createElement("img",__assign$4({},j,{onLoad:L,onError:B,key:KEY_PREFIX+S.src||"",className:Be.image,ref:useMergedRefs(O,C),src:F,alt:V,role:xe,loading:we})))});ImageBase.displayName="ImageBase";function useCoverStyle(S,C,R,O){var I=reactExports.useRef(C),N=reactExports.useRef();return(N===void 0||I.current===ImageLoadState.notLoaded&&C===ImageLoadState.loaded)&&(N.current=computeCoverStyle(S,C,R,O)),I.current=C,N.current}function computeCoverStyle(S,C,R,O){var I=S.imageFit,N=S.width,L=S.height;if(S.coverStyle!==void 0)return S.coverStyle;if(C===ImageLoadState.loaded&&(I===ImageFit.cover||I===ImageFit.contain||I===ImageFit.centerContain||I===ImageFit.centerCover)&&R.current&&O.current){var B=void 0;typeof N=="number"&&typeof L=="number"&&I!==ImageFit.centerContain&&I!==ImageFit.centerCover?B=N/L:B=O.current.clientWidth/O.current.clientHeight;var j=R.current.naturalWidth/R.current.naturalHeight;if(j>B)return ImageCoverStyle.landscape}return ImageCoverStyle.portrait}var GlobalClassNames$5={root:"ms-Image",rootMaximizeFrame:"ms-Image--maximizeFrame",image:"ms-Image-image",imageCenter:"ms-Image-image--center",imageContain:"ms-Image-image--contain",imageCover:"ms-Image-image--cover",imageCenterContain:"ms-Image-image--centerContain",imageCenterCover:"ms-Image-image--centerCover",imageNone:"ms-Image-image--none",imageLandscape:"ms-Image-image--landscape",imagePortrait:"ms-Image-image--portrait"},getStyles$6=function(S){var C=S.className,R=S.width,O=S.height,I=S.maximizeFrame,N=S.isLoaded,L=S.shouldFadeIn,B=S.shouldStartVisible,j=S.isLandscape,F=S.isCenter,V=S.isContain,K=S.isCover,W=S.isCenterContain,X=S.isCenterCover,J=S.isNone,oe=S.isError,pe=S.isNotImageFit,me=S.theme,xe=getGlobalClassNames(GlobalClassNames$5,me),Ae={position:"absolute",left:"50% /* @noflip */",top:"50%",transform:"translate(-50%,-50%)"},ge=getWindow(),Te=ge!==void 0&&ge.navigator.msMaxTouchPoints===void 0,we=V&&j||K&&!j?{width:"100%",height:"auto"}:{width:"auto",height:"100%"};return{root:[xe.root,me.fonts.medium,{overflow:"hidden"},I&&[xe.rootMaximizeFrame,{height:"100%",width:"100%"}],N&&L&&!B&&AnimationClassNames.fadeIn400,(F||V||K||W||X)&&{position:"relative"},C],image:[xe.image,{display:"block",opacity:0},N&&["is-loaded",{opacity:1}],F&&[xe.imageCenter,Ae],V&&[xe.imageContain,Te&&{width:"100%",height:"100%",objectFit:"contain"},!Te&&we,!Te&&Ae],K&&[xe.imageCover,Te&&{width:"100%",height:"100%",objectFit:"cover"},!Te&&we,!Te&&Ae],W&&[xe.imageCenterContain,j&&{maxWidth:"100%"},!j&&{maxHeight:"100%"},Ae],X&&[xe.imageCenterCover,j&&{maxHeight:"100%"},!j&&{maxWidth:"100%"},Ae],J&&[xe.imageNone,{width:"auto",height:"auto"}],pe&&[!!R&&!O&&{height:"auto",width:"100%"},!R&&!!O&&{height:"100%",width:"auto"},!!R&&!!O&&{height:"100%",width:"100%"}],j&&xe.imageLandscape,!j&&xe.imagePortrait,!N&&"is-notLoaded",L&&"is-fadeIn",oe&&"is-error"]}},Image$1=styled(ImageBase,getStyles$6,void 0,{scope:"Image"},!0);Image$1.displayName="Image";var classNames$1=mergeStyleSets({root:{display:"inline-block"},placeholder:["ms-Icon-placeHolder",{width:"1em"}],image:["ms-Icon-imageContainer",{overflow:"hidden"}]}),MS_ICON="ms-Icon",getStyles$5=function(S){var C=S.className,R=S.iconClassName,O=S.isPlaceholder,I=S.isImage,N=S.styles;return{root:[O&&classNames$1.placeholder,classNames$1.root,I&&classNames$1.image,R,C,N&&N.root,N&&N.imageContainer]}},getIconContent=memoizeFunction(function(S){var C=getIcon(S)||{subset:{},code:void 0},R=C.code,O=C.subset;return R?{children:R,iconClassName:O.className,fontFamily:O.fontFace&&O.fontFace.fontFamily,mergeImageProps:O.mergeImageProps}:null},void 0,!0),FontIcon=function(S){var C=S.iconName,R=S.className,O=S.style,I=O===void 0?{}:O,N=getIconContent(C)||{},L=N.iconClassName,B=N.children,j=N.fontFamily,F=N.mergeImageProps,V=getNativeProps(S,htmlElementProperties),K=S["aria-label"]||S.title,W=S["aria-label"]||S["aria-labelledby"]||S.title?{role:F?void 0:"img"}:{"aria-hidden":!0},X=B;return F&&typeof B=="object"&&typeof B.props=="object"&&K&&(X=reactExports.cloneElement(B,{alt:K})),reactExports.createElement("i",__assign$4({"data-icon-name":C},W,V,F?{title:void 0,"aria-label":void 0}:{},{className:css$3(MS_ICON,classNames$1.root,L,!C&&classNames$1.placeholder,R),style:__assign$4({fontFamily:j},I)}),X)};memoizeFunction(function(S,C,R){return FontIcon({iconName:S,className:C,"aria-label":R})});var getClassNames$5=classNamesFunction({cacheSize:100}),IconBase=function(S){__extends$3(C,S);function C(R){var O=S.call(this,R)||this;return O._onImageLoadingStateChange=function(I){O.props.imageProps&&O.props.imageProps.onLoadingStateChange&&O.props.imageProps.onLoadingStateChange(I),I===ImageLoadState.error&&O.setState({imageLoadError:!0})},O.state={imageLoadError:!1},O}return C.prototype.render=function(){var R=this.props,O=R.children,I=R.className,N=R.styles,L=R.iconName,B=R.imageErrorAs,j=R.theme,F=typeof L=="string"&&L.length===0,V=!!this.props.imageProps||this.props.iconType===IconType.image||this.props.iconType===IconType.Image,K=getIconContent(L)||{},W=K.iconClassName,X=K.children,J=K.mergeImageProps,oe=getClassNames$5(N,{theme:j,className:I,iconClassName:W,isImage:V,isPlaceholder:F}),pe=V?"span":"i",me=getNativeProps(this.props,htmlElementProperties,["aria-label"]),xe=this.state.imageLoadError,Ae=__assign$4(__assign$4({},this.props.imageProps),{onLoadingStateChange:this._onImageLoadingStateChange}),ge=xe&&B||Image$1,Te=this.props["aria-label"]||this.props.ariaLabel,we=Ae.alt||Te||this.props.title,ke=!!(we||this.props["aria-labelledby"]||Ae["aria-label"]||Ae["aria-labelledby"]),Be=ke?{role:V||J?void 0:"img","aria-label":V||J?void 0:we}:{"aria-hidden":!0},Ie=X;return J&&X&&typeof X=="object"&&we&&(Ie=reactExports.cloneElement(X,{alt:we})),reactExports.createElement(pe,__assign$4({"data-icon-name":L},Be,me,J?{title:void 0,"aria-label":void 0}:{},{className:oe.root}),V?reactExports.createElement(ge,__assign$4({},Ae)):O||Ie)},C}(reactExports.Component),Icon=styled(IconBase,getStyles$5,void 0,{scope:"Icon"},!0);Icon.displayName="Icon";var FocusZoneTabbableElements={none:0,all:1,inputOnly:2},FocusZoneDirection;(function(S){S[S.vertical=0]="vertical",S[S.horizontal=1]="horizontal",S[S.bidirectional=2]="bidirectional",S[S.domOrder=3]="domOrder"})(FocusZoneDirection||(FocusZoneDirection={}));var define_process_env_default$C={},IS_FOCUSABLE_ATTRIBUTE="data-is-focusable",IS_ENTER_DISABLED_ATTRIBUTE="data-disable-click-on-enter",FOCUSZONE_ID_ATTRIBUTE="data-focuszone-id",TABINDEX="tabindex",NO_VERTICAL_WRAP="data-no-vertical-wrap",NO_HORIZONTAL_WRAP="data-no-horizontal-wrap",LARGE_DISTANCE_FROM_CENTER=999999999,LARGE_NEGATIVE_DISTANCE_FROM_CENTER=-999999999,focusZoneStyles,focusZoneClass="ms-FocusZone";function raiseClickFromKeyboardEvent(S,C){var R;typeof MouseEvent=="function"?R=new MouseEvent("click",{ctrlKey:C==null?void 0:C.ctrlKey,metaKey:C==null?void 0:C.metaKey,shiftKey:C==null?void 0:C.shiftKey,altKey:C==null?void 0:C.altKey,bubbles:C==null?void 0:C.bubbles,cancelable:C==null?void 0:C.cancelable}):(R=document.createEvent("MouseEvents"),R.initMouseEvent("click",C?C.bubbles:!1,C?C.cancelable:!1,window,0,0,0,0,0,C?C.ctrlKey:!1,C?C.altKey:!1,C?C.shiftKey:!1,C?C.metaKey:!1,0,null)),S.dispatchEvent(R)}function getRootClass(){return focusZoneStyles||(focusZoneStyles=mergeStyles$1({selectors:{":focus":{outline:"none"}}},focusZoneClass)),focusZoneStyles}var _allInstances={},_outerZones=new Set,ALLOWED_INPUT_TYPES=["text","number","password","email","tel","url","search","textarea"],ALLOW_VIRTUAL_ELEMENTS=!1,FocusZone=function(S){__extends$3(C,S);function C(R){var O=this,I,N,L,B;O=S.call(this,R)||this,O._root=reactExports.createRef(),O._mergedRef=createMergedRef(),O._onFocus=function(F){if(!O._portalContainsElement(F.target)){var V=O.props,K=V.onActiveElementChanged,W=V.doNotAllowFocusEventToPropagate,X=V.stopFocusPropagation,J=V.onFocusNotification,oe=V.onFocus,pe=V.shouldFocusInnerElementWhenReceivedFocus,me=V.defaultTabbableElement,xe=O._isImmediateDescendantOfZone(F.target),Ae;if(xe)Ae=F.target;else for(var ge=F.target;ge&&ge!==O._root.current;){if(isElementTabbable(ge)&&O._isImmediateDescendantOfZone(ge)){Ae=ge;break}ge=getParent(ge,ALLOW_VIRTUAL_ELEMENTS)}if(pe&&F.target===O._root.current){var Te=me&&typeof me=="function"&&O._root.current&&me(O._root.current);Te&&isElementTabbable(Te)?(Ae=Te,Te.focus()):(O.focus(!0),O._activeElement&&(Ae=null))}var we=!O._activeElement;Ae&&Ae!==O._activeElement&&((xe||we)&&O._setFocusAlignment(Ae,!0,!0),O._activeElement=Ae,we&&O._updateTabIndexes()),K&&K(O._activeElement,F),(X||W)&&F.stopPropagation(),oe?oe(F):J&&J()}},O._onBlur=function(){O._setParkedFocus(!1)},O._onMouseDown=function(F){if(!O._portalContainsElement(F.target)){var V=O.props.disabled;if(!V){for(var K=F.target,W=[];K&&K!==O._root.current;)W.push(K),K=getParent(K,ALLOW_VIRTUAL_ELEMENTS);for(;W.length&&(K=W.pop(),K&&isElementTabbable(K)&&O._setActiveElement(K,!0),!isElementFocusZone(K)););}}},O._onKeyDown=function(F,V){if(!O._portalContainsElement(F.target)){var K=O.props,W=K.direction,X=K.disabled,J=K.isInnerZoneKeystroke,oe=K.pagingSupportDisabled,pe=K.shouldEnterInnerZone;if(!X&&(O.props.onKeyDown&&O.props.onKeyDown(F),!F.isDefaultPrevented()&&!(O._getDocument().activeElement===O._root.current&&O._isInnerZone))){if((pe&&pe(F)||J&&J(F))&&O._isImmediateDescendantOfZone(F.target)){var me=O._getFirstInnerZone();if(me){if(!me.focus(!0))return}else if(isElementFocusSubZone(F.target)){if(!O.focusElement(getNextElement(F.target,F.target.firstChild,!0)))return}else return}else{if(F.altKey)return;switch(F.which){case KeyCodes$1.space:if(O._shouldRaiseClicksOnSpace&&O._tryInvokeClickForFocusable(F.target,F))break;return;case KeyCodes$1.left:if(W!==FocusZoneDirection.vertical&&(O._preventDefaultWhenHandled(F),O._moveFocusLeft(V)))break;return;case KeyCodes$1.right:if(W!==FocusZoneDirection.vertical&&(O._preventDefaultWhenHandled(F),O._moveFocusRight(V)))break;return;case KeyCodes$1.up:if(W!==FocusZoneDirection.horizontal&&(O._preventDefaultWhenHandled(F),O._moveFocusUp()))break;return;case KeyCodes$1.down:if(W!==FocusZoneDirection.horizontal&&(O._preventDefaultWhenHandled(F),O._moveFocusDown()))break;return;case KeyCodes$1.pageDown:if(!oe&&O._moveFocusPaging(!0))break;return;case KeyCodes$1.pageUp:if(!oe&&O._moveFocusPaging(!1))break;return;case KeyCodes$1.tab:if(O.props.allowTabKey||O.props.handleTabKey===FocusZoneTabbableElements.all||O.props.handleTabKey===FocusZoneTabbableElements.inputOnly&&O._isElementInput(F.target)){var xe=!1;if(O._processingTabKey=!0,W===FocusZoneDirection.vertical||!O._shouldWrapFocus(O._activeElement,NO_HORIZONTAL_WRAP))xe=F.shiftKey?O._moveFocusUp():O._moveFocusDown();else{var Ae=getRTL$1(V)?!F.shiftKey:F.shiftKey;xe=Ae?O._moveFocusLeft(V):O._moveFocusRight(V)}if(O._processingTabKey=!1,xe)break;O.props.shouldResetActiveElementWhenTabFromZone&&(O._activeElement=null)}return;case KeyCodes$1.home:if(O._isContentEditableElement(F.target)||O._isElementInput(F.target)&&!O._shouldInputLoseFocus(F.target,!1))return!1;var ge=O._root.current&&O._root.current.firstChild;if(O._root.current&&ge&&O.focusElement(getNextElement(O._root.current,ge,!0)))break;return;case KeyCodes$1.end:if(O._isContentEditableElement(F.target)||O._isElementInput(F.target)&&!O._shouldInputLoseFocus(F.target,!0))return!1;var Te=O._root.current&&O._root.current.lastChild;if(O._root.current&&O.focusElement(getPreviousElement(O._root.current,Te,!0,!0,!0)))break;return;case KeyCodes$1.enter:if(O._shouldRaiseClicksOnEnter&&O._tryInvokeClickForFocusable(F.target,F))break;return;default:return}}F.preventDefault(),F.stopPropagation()}}},O._getHorizontalDistanceFromCenter=function(F,V,K){var W=O._focusAlignment.left||O._focusAlignment.x||0,X=Math.floor(K.top),J=Math.floor(V.bottom),oe=Math.floor(K.bottom),pe=Math.floor(V.top),me=F&&X>J,xe=!F&&oe<pe;return me||xe?W>=K.left&&W<=K.left+K.width?0:Math.abs(K.left+K.width/2-W):O._shouldWrapFocus(O._activeElement,NO_VERTICAL_WRAP)?LARGE_DISTANCE_FROM_CENTER:LARGE_NEGATIVE_DISTANCE_FROM_CENTER},initializeComponentRef(O),define_process_env_default$C.NODE_ENV!=="production"&&warnDeprecations("FocusZone",R,{rootProps:void 0,allowTabKey:"handleTabKey",elementType:"as",ariaDescribedBy:"aria-describedby",ariaLabelledBy:"aria-labelledby"}),O._id=getId("FocusZone"),O._focusAlignment={left:0,top:0},O._processingTabKey=!1;var j=(N=(I=R.shouldRaiseClicks)!==null&&I!==void 0?I:C.defaultProps.shouldRaiseClicks)!==null&&N!==void 0?N:!0;return O._shouldRaiseClicksOnEnter=(L=R.shouldRaiseClicksOnEnter)!==null&&L!==void 0?L:j,O._shouldRaiseClicksOnSpace=(B=R.shouldRaiseClicksOnSpace)!==null&&B!==void 0?B:j,O}return C.getOuterZones=function(){return _outerZones.size},C._onKeyDownCapture=function(R){R.which===KeyCodes$1.tab&&_outerZones.forEach(function(O){return O._updateTabIndexes()})},C.prototype.componentDidMount=function(){var R=this._root.current;if(_allInstances[this._id]=this,R){for(var O=getParent(R,ALLOW_VIRTUAL_ELEMENTS);O&&O!==this._getDocument().body&&O.nodeType===1;){if(isElementFocusZone(O)){this._isInnerZone=!0;break}O=getParent(O,ALLOW_VIRTUAL_ELEMENTS)}this._isInnerZone||(_outerZones.add(this),this._root.current&&this._root.current.addEventListener("keydown",C._onKeyDownCapture,!0)),this._root.current&&this._root.current.addEventListener("blur",this._onBlur,!0),this._updateTabIndexes(),this.props.defaultTabbableElement&&typeof this.props.defaultTabbableElement=="string"?this._activeElement=this._getDocument().querySelector(this.props.defaultTabbableElement):this.props.defaultActiveElement&&(this._activeElement=this._getDocument().querySelector(this.props.defaultActiveElement)),this.props.shouldFocusOnMount&&this.focus()}},C.prototype.componentDidUpdate=function(){var R=this._root.current,O=this._getDocument();if((this._activeElement&&!elementContains(this._root.current,this._activeElement,ALLOW_VIRTUAL_ELEMENTS)||this._defaultFocusElement&&!elementContains(this._root.current,this._defaultFocusElement,ALLOW_VIRTUAL_ELEMENTS))&&(this._activeElement=null,this._defaultFocusElement=null,this._updateTabIndexes()),!this.props.preventFocusRestoration&&O&&this._lastIndexPath&&(O.activeElement===O.body||O.activeElement===null||O.activeElement===R)){var I=getFocusableByIndexPath(R,this._lastIndexPath);I?(this._setActiveElement(I,!0),I.focus(),this._setParkedFocus(!1)):this._setParkedFocus(!0)}},C.prototype.componentWillUnmount=function(){delete _allInstances[this._id],this._isInnerZone||(_outerZones.delete(this),this._root.current&&this._root.current.removeEventListener("keydown",C._onKeyDownCapture,!0)),this._root.current&&this._root.current.removeEventListener("blur",this._onBlur,!0),this._activeElement=null,this._defaultFocusElement=null},C.prototype.render=function(){var R=this,O=this.props,I=O.as,N=O.elementType,L=O.rootProps,B=O.ariaDescribedBy,j=O.ariaLabelledBy,F=O.className,V=getNativeProps(this.props,htmlElementProperties),K=I||N||"div";this._evaluateFocusBeforeRender();var W=getTheme();return reactExports.createElement(K,__assign$4({"aria-labelledby":j,"aria-describedby":B},V,L,{className:css$3(getRootClass(),F),ref:this._mergedRef(this.props.elementRef,this._root),"data-focuszone-id":this._id,onKeyDown:function(X){return R._onKeyDown(X,W)},onFocus:this._onFocus,onMouseDownCapture:this._onMouseDown}),this.props.children)},C.prototype.focus=function(R,O){if(R===void 0&&(R=!1),O===void 0&&(O=!1),this._root.current)if(!R&&this._root.current.getAttribute(IS_FOCUSABLE_ATTRIBUTE)==="true"&&this._isInnerZone){var I=this._getOwnerZone(this._root.current);if(I!==this._root.current){var N=_allInstances[I.getAttribute(FOCUSZONE_ID_ATTRIBUTE)];return!!N&&N.focusElement(this._root.current)}return!1}else{if(!R&&this._activeElement&&elementContains(this._root.current,this._activeElement)&&isElementTabbable(this._activeElement)&&(!O||isElementVisibleAndNotHidden(this._activeElement)))return this._activeElement.focus(),!0;var L=this._root.current.firstChild;return this.focusElement(getNextElement(this._root.current,L,!0,void 0,void 0,void 0,void 0,void 0,O))}return!1},C.prototype.focusLast=function(){if(this._root.current){var R=this._root.current&&this._root.current.lastChild;return this.focusElement(getPreviousElement(this._root.current,R,!0,!0,!0))}return!1},C.prototype.focusElement=function(R,O){var I=this.props,N=I.onBeforeFocus,L=I.shouldReceiveFocus;return L&&!L(R)||N&&!N(R)?!1:R?(this._setActiveElement(R,O),this._activeElement&&this._activeElement.focus(),!0):!1},C.prototype.setFocusAlignment=function(R){this._focusAlignment=R},Object.defineProperty(C.prototype,"defaultFocusElement",{get:function(){return this._defaultFocusElement},enumerable:!1,configurable:!0}),Object.defineProperty(C.prototype,"activeElement",{get:function(){return this._activeElement},enumerable:!1,configurable:!0}),C.prototype._evaluateFocusBeforeRender=function(){var R=this._root.current,O=this._getDocument();if(O){var I=O.activeElement;if(I!==R){var N=elementContains(R,I,!1);this._lastIndexPath=N?getElementIndexPath(R,I):void 0}}},C.prototype._setParkedFocus=function(R){var O=this._root.current;O&&this._isParked!==R&&(this._isParked=R,R?(this.props.allowFocusRoot||(this._parkedTabIndex=O.getAttribute("tabindex"),O.setAttribute("tabindex","-1")),O.focus()):this.props.allowFocusRoot||(this._parkedTabIndex?(O.setAttribute("tabindex",this._parkedTabIndex),this._parkedTabIndex=void 0):O.removeAttribute("tabindex")))},C.prototype._setActiveElement=function(R,O){var I=this._activeElement;this._activeElement=R,I&&(isElementFocusZone(I)&&this._updateTabIndexes(I),I.tabIndex=-1),this._activeElement&&((!this._focusAlignment||O)&&this._setFocusAlignment(R,!0,!0),this._activeElement.tabIndex=0)},C.prototype._preventDefaultWhenHandled=function(R){this.props.preventDefaultWhenHandled&&R.preventDefault()},C.prototype._tryInvokeClickForFocusable=function(R,O){var I=R;if(I===this._root.current)return!1;do{if(I.tagName==="BUTTON"||I.tagName==="A"||I.tagName==="INPUT"||I.tagName==="TEXTAREA"||I.tagName==="SUMMARY")return!1;if(this._isImmediateDescendantOfZone(I)&&I.getAttribute(IS_FOCUSABLE_ATTRIBUTE)==="true"&&I.getAttribute(IS_ENTER_DISABLED_ATTRIBUTE)!=="true")return raiseClickFromKeyboardEvent(I,O),!0;I=getParent(I,ALLOW_VIRTUAL_ELEMENTS)}while(I!==this._root.current);return!1},C.prototype._getFirstInnerZone=function(R){if(R=R||this._activeElement||this._root.current,!R)return null;if(isElementFocusZone(R))return _allInstances[R.getAttribute(FOCUSZONE_ID_ATTRIBUTE)];for(var O=R.firstElementChild;O;){if(isElementFocusZone(O))return _allInstances[O.getAttribute(FOCUSZONE_ID_ATTRIBUTE)];var I=this._getFirstInnerZone(O);if(I)return I;O=O.nextElementSibling}return null},C.prototype._moveFocus=function(R,O,I,N){N===void 0&&(N=!0);var L=this._activeElement,B=-1,j=void 0,F=!1,V=this.props.direction===FocusZoneDirection.bidirectional;if(!L||!this._root.current||this._isElementInput(L)&&!this._shouldInputLoseFocus(L,R))return!1;var K=V?L.getBoundingClientRect():null;do if(L=R?getNextElement(this._root.current,L):getPreviousElement(this._root.current,L),V){if(L){var W=L.getBoundingClientRect(),X=O(K,W);if(X===-1&&B===-1){j=L;break}if(X>-1&&(B===-1||X<B)&&(B=X,j=L),B>=0&&X<0)break}}else{j=L;break}while(L);if(j&&j!==this._activeElement)F=!0,this.focusElement(j);else if(this.props.isCircularNavigation&&N)return R?this.focusElement(getNextElement(this._root.current,this._root.current.firstElementChild,!0)):this.focusElement(getPreviousElement(this._root.current,this._root.current.lastElementChild,!0,!0,!0));return F},C.prototype._moveFocusDown=function(){var R=this,O=-1,I=this._focusAlignment.left||this._focusAlignment.x||0;return this._moveFocus(!0,function(N,L){var B=-1,j=Math.floor(L.top),F=Math.floor(N.bottom);return j<F?R._shouldWrapFocus(R._activeElement,NO_VERTICAL_WRAP)?LARGE_DISTANCE_FROM_CENTER:LARGE_NEGATIVE_DISTANCE_FROM_CENTER:((O===-1&&j>=F||j===O)&&(O=j,I>=L.left&&I<=L.left+L.width?B=0:B=Math.abs(L.left+L.width/2-I)),B)})?(this._setFocusAlignment(this._activeElement,!1,!0),!0):!1},C.prototype._moveFocusUp=function(){var R=this,O=-1,I=this._focusAlignment.left||this._focusAlignment.x||0;return this._moveFocus(!1,function(N,L){var B=-1,j=Math.floor(L.bottom),F=Math.floor(L.top),V=Math.floor(N.top);return j>V?R._shouldWrapFocus(R._activeElement,NO_VERTICAL_WRAP)?LARGE_DISTANCE_FROM_CENTER:LARGE_NEGATIVE_DISTANCE_FROM_CENTER:((O===-1&&j<=V||F===O)&&(O=F,I>=L.left&&I<=L.left+L.width?B=0:B=Math.abs(L.left+L.width/2-I)),B)})?(this._setFocusAlignment(this._activeElement,!1,!0),!0):!1},C.prototype._moveFocusLeft=function(R){var O=this,I=this._shouldWrapFocus(this._activeElement,NO_HORIZONTAL_WRAP);return this._moveFocus(getRTL$1(R),function(N,L){var B=-1,j;return getRTL$1(R)?j=parseFloat(L.top.toFixed(3))<parseFloat(N.bottom.toFixed(3)):j=parseFloat(L.bottom.toFixed(3))>parseFloat(N.top.toFixed(3)),j&&L.right<=N.right&&O.props.direction!==FocusZoneDirection.vertical?B=N.right-L.right:I||(B=LARGE_NEGATIVE_DISTANCE_FROM_CENTER),B},void 0,I)?(this._setFocusAlignment(this._activeElement,!0,!1),!0):!1},C.prototype._moveFocusRight=function(R){var O=this,I=this._shouldWrapFocus(this._activeElement,NO_HORIZONTAL_WRAP);return this._moveFocus(!getRTL$1(R),function(N,L){var B=-1,j;return getRTL$1(R)?j=parseFloat(L.bottom.toFixed(3))>parseFloat(N.top.toFixed(3)):j=parseFloat(L.top.toFixed(3))<parseFloat(N.bottom.toFixed(3)),j&&L.left>=N.left&&O.props.direction!==FocusZoneDirection.vertical?B=L.left-N.left:I||(B=LARGE_NEGATIVE_DISTANCE_FROM_CENTER),B},void 0,I)?(this._setFocusAlignment(this._activeElement,!0,!1),!0):!1},C.prototype._moveFocusPaging=function(R,O){O===void 0&&(O=!0);var I=this._activeElement;if(!I||!this._root.current||this._isElementInput(I)&&!this._shouldInputLoseFocus(I,R))return!1;var N=findScrollableParent(I);if(!N)return!1;var L=-1,B=void 0,j=-1,F=-1,V=N.clientHeight,K=I.getBoundingClientRect();do if(I=R?getNextElement(this._root.current,I):getPreviousElement(this._root.current,I),I){var W=I.getBoundingClientRect(),X=Math.floor(W.top),J=Math.floor(K.bottom),oe=Math.floor(W.bottom),pe=Math.floor(K.top),me=this._getHorizontalDistanceFromCenter(R,K,W),xe=R&&X>J+V,Ae=!R&&oe<pe-V;if(xe||Ae)break;me>-1&&(R&&X>j?(j=X,L=me,B=I):!R&&oe<F?(F=oe,L=me,B=I):(L===-1||me<=L)&&(L=me,B=I))}while(I);var ge=!1;if(B&&B!==this._activeElement)ge=!0,this.focusElement(B),this._setFocusAlignment(B,!1,!0);else if(this.props.isCircularNavigation&&O)return R?this.focusElement(getNextElement(this._root.current,this._root.current.firstElementChild,!0)):this.focusElement(getPreviousElement(this._root.current,this._root.current.lastElementChild,!0,!0,!0));return ge},C.prototype._setFocusAlignment=function(R,O,I){if(this.props.direction===FocusZoneDirection.bidirectional&&(!this._focusAlignment||O||I)){var N=R.getBoundingClientRect(),L=N.left+N.width/2,B=N.top+N.height/2;this._focusAlignment||(this._focusAlignment={left:L,top:B}),O&&(this._focusAlignment.left=L),I&&(this._focusAlignment.top=B)}},C.prototype._isImmediateDescendantOfZone=function(R){return this._getOwnerZone(R)===this._root.current},C.prototype._getOwnerZone=function(R){for(var O=getParent(R,ALLOW_VIRTUAL_ELEMENTS);O&&O!==this._root.current&&O!==this._getDocument().body;){if(isElementFocusZone(O))return O;O=getParent(O,ALLOW_VIRTUAL_ELEMENTS)}return O},C.prototype._updateTabIndexes=function(R){!this._activeElement&&this.props.defaultTabbableElement&&typeof this.props.defaultTabbableElement=="function"&&(this._activeElement=this.props.defaultTabbableElement(this._root.current)),!R&&this._root.current&&(this._defaultFocusElement=null,R=this._root.current,this._activeElement&&!elementContains(R,this._activeElement)&&(this._activeElement=null)),this._activeElement&&!isElementTabbable(this._activeElement)&&(this._activeElement=null);for(var O=R&&R.children,I=0;O&&I<O.length;I++){var N=O[I];isElementFocusZone(N)?N.getAttribute(IS_FOCUSABLE_ATTRIBUTE)==="true"&&(!this._isInnerZone&&(!this._activeElement&&!this._defaultFocusElement||this._activeElement===N)?(this._defaultFocusElement=N,N.getAttribute(TABINDEX)!=="0"&&N.setAttribute(TABINDEX,"0")):N.getAttribute(TABINDEX)!=="-1"&&N.setAttribute(TABINDEX,"-1")):(N.getAttribute&&N.getAttribute(IS_FOCUSABLE_ATTRIBUTE)==="false"&&N.setAttribute(TABINDEX,"-1"),isElementTabbable(N)?this.props.disabled?N.setAttribute(TABINDEX,"-1"):!this._isInnerZone&&(!this._activeElement&&!this._defaultFocusElement||this._activeElement===N)?(this._defaultFocusElement=N,N.getAttribute(TABINDEX)!=="0"&&N.setAttribute(TABINDEX,"0")):N.getAttribute(TABINDEX)!=="-1"&&N.setAttribute(TABINDEX,"-1"):N.tagName==="svg"&&N.getAttribute("focusable")!=="false"&&N.setAttribute("focusable","false")),this._updateTabIndexes(N)}},C.prototype._isContentEditableElement=function(R){return R&&R.getAttribute("contenteditable")==="true"},C.prototype._isElementInput=function(R){return!!(R&&R.tagName&&(R.tagName.toLowerCase()==="input"||R.tagName.toLowerCase()==="textarea"))},C.prototype._shouldInputLoseFocus=function(R,O){if(!this._processingTabKey&&R&&R.type&&ALLOWED_INPUT_TYPES.indexOf(R.type.toLowerCase())>-1){var I=R.selectionStart,N=R.selectionEnd,L=I!==N,B=R.value,j=R.readOnly;if(L||I>0&&!O&&!j||I!==B.length&&O&&!j||this.props.handleTabKey&&!(this.props.shouldInputLoseFocusOnArrowKey&&this.props.shouldInputLoseFocusOnArrowKey(R)))return!1}return!0},C.prototype._shouldWrapFocus=function(R,O){return this.props.checkForNoWrap?shouldWrapFocus(R,O):!0},C.prototype._portalContainsElement=function(R){return R&&!!this._root.current&&portalContainsElement(R,this._root.current)},C.prototype._getDocument=function(){return getDocument(this._root.current)},C.defaultProps={isCircularNavigation:!1,direction:FocusZoneDirection.bidirectional,shouldRaiseClicks:!0},C}(reactExports.Component),ContextualMenuItemType;(function(S){S[S.Normal=0]="Normal",S[S.Divider=1]="Divider",S[S.Header=2]="Header",S[S.Section=3]="Section"})(ContextualMenuItemType||(ContextualMenuItemType={}));function getIsChecked(S){return S.canCheck?!!(S.isChecked||S.checked):typeof S.isChecked=="boolean"?S.isChecked:typeof S.checked=="boolean"?S.checked:null}function hasSubmenu(S){return!!(S.subMenuProps||S.items)}function isItemDisabled(S){return!!(S.isDisabled||S.disabled)}function getMenuItemAriaRole(S){var C=getIsChecked(S),R=C!==null;return R?"menuitemcheckbox":"menuitem"}var defaultIconRenderer=function(S){var C=S.item,R=S.classNames,O=C.iconProps;return reactExports.createElement(Icon,__assign$4({},O,{className:R.icon}))},renderItemIcon=function(S){var C=S.item,R=S.hasIcons;return R?C.onRenderIcon?C.onRenderIcon(S,defaultIconRenderer):defaultIconRenderer(S):null},renderCheckMarkIcon=function(S){var C=S.onCheckmarkClick,R=S.item,O=S.classNames,I=getIsChecked(R);if(C){var N=function(L){return C(R,L)};return reactExports.createElement(Icon,{iconName:R.canCheck!==!1&&I?"CheckMark":"",className:O.checkmarkIcon,onClick:N})}return null},renderItemName=function(S){var C=S.item,R=S.classNames;return C.text||C.name?reactExports.createElement("span",{className:R.label},C.text||C.name):null},renderSecondaryText=function(S){var C=S.item,R=S.classNames;return C.secondaryText?reactExports.createElement("span",{className:R.secondaryText},C.secondaryText):null},renderSubMenuIcon=function(S){var C=S.item,R=S.classNames,O=S.theme;return hasSubmenu(C)?reactExports.createElement(Icon,__assign$4({iconName:getRTL$1(O)?"ChevronLeft":"ChevronRight"},C.submenuIconProps,{className:R.subMenuIcon})):null},ContextualMenuItemBase=function(S){__extends$3(C,S);function C(R){var O=S.call(this,R)||this;return O.openSubMenu=function(){var I=O.props,N=I.item,L=I.openSubMenu,B=I.getSubmenuTarget;if(B){var j=B();hasSubmenu(N)&&L&&j&&L(N,j)}},O.dismissSubMenu=function(){var I=O.props,N=I.item,L=I.dismissSubMenu;hasSubmenu(N)&&L&&L()},O.dismissMenu=function(I){var N=O.props.dismissMenu;N&&N(void 0,I)},initializeComponentRef(O),O}return C.prototype.render=function(){var R=this.props,O=R.item,I=R.classNames,N=O.onRenderContent||this._renderLayout;return reactExports.createElement("div",{className:O.split?I.linkContentMenu:I.linkContent},N(this.props,{renderCheckMarkIcon,renderItemIcon,renderItemName,renderSecondaryText,renderSubMenuIcon}))},C.prototype._renderLayout=function(R,O){return reactExports.createElement(reactExports.Fragment,null,O.renderCheckMarkIcon(R),O.renderItemIcon(R),O.renderItemName(R),O.renderSecondaryText(R),O.renderSubMenuIcon(R))},C}(reactExports.Component),getDividerClassNames=memoizeFunction(function(S){return mergeStyleSets({wrapper:{display:"inline-flex",height:"100%",alignItems:"center"},divider:{width:1,height:"100%",backgroundColor:S.palette.neutralTertiaryAlt}})}),CONTEXTUAL_MENU_ITEM_HEIGHT=36,MediumScreenSelector$1=getScreenSelector(0,ScreenWidthMaxMedium),getMenuItemStyles=memoizeFunction(function(S){var C,R,O,I,N,L=S.semanticColors,B=S.fonts,j=S.palette,F=L.menuItemBackgroundHovered,V=L.menuItemTextHovered,K=L.menuItemBackgroundPressed,W=L.bodyDivider,X={item:[B.medium,{color:L.bodyText,position:"relative",boxSizing:"border-box"}],divider:{display:"block",height:"1px",backgroundColor:W,position:"relative"},root:[getFocusStyle(S),B.medium,{color:L.bodyText,backgroundColor:"transparent",border:"none",width:"100%",height:CONTEXTUAL_MENU_ITEM_HEIGHT,lineHeight:CONTEXTUAL_MENU_ITEM_HEIGHT,display:"block",cursor:"pointer",padding:"0px 8px 0 4px",textAlign:"left"}],rootDisabled:{color:L.disabledBodyText,cursor:"default",pointerEvents:"none",selectors:(C={},C[HighContrastSelector]={color:"GrayText",opacity:1},C)},rootHovered:{backgroundColor:F,color:V,selectors:{".ms-ContextualMenu-icon":{color:j.themeDarkAlt},".ms-ContextualMenu-submenuIcon":{color:j.neutralPrimary}}},rootFocused:{backgroundColor:j.white},rootChecked:{selectors:{".ms-ContextualMenu-checkmarkIcon":{color:j.neutralPrimary}}},rootPressed:{backgroundColor:K,selectors:{".ms-ContextualMenu-icon":{color:j.themeDark},".ms-ContextualMenu-submenuIcon":{color:j.neutralPrimary}}},rootExpanded:{backgroundColor:K,color:L.bodyTextChecked,selectors:(R={".ms-ContextualMenu-submenuIcon":(O={},O[HighContrastSelector]={color:"inherit"},O)},R[HighContrastSelector]=__assign$4({},getHighContrastNoAdjustStyle()),R)},linkContent:{whiteSpace:"nowrap",height:"inherit",display:"flex",alignItems:"center",maxWidth:"100%"},anchorLink:{padding:"0px 8px 0 4px",textRendering:"auto",color:"inherit",letterSpacing:"normal",wordSpacing:"normal",textTransform:"none",textIndent:"0px",textShadow:"none",textDecoration:"none",boxSizing:"border-box"},label:{margin:"0 4px",verticalAlign:"middle",display:"inline-block",flexGrow:"1",textOverflow:"ellipsis",whiteSpace:"nowrap",overflow:"hidden"},secondaryText:{color:S.palette.neutralSecondary,paddingLeft:"20px",textAlign:"right"},icon:{display:"inline-block",minHeight:"1px",maxHeight:CONTEXTUAL_MENU_ITEM_HEIGHT,fontSize:IconFontSizes.medium,width:IconFontSizes.medium,margin:"0 4px",verticalAlign:"middle",flexShrink:"0",selectors:(I={},I[MediumScreenSelector$1]={fontSize:IconFontSizes.large,width:IconFontSizes.large},I)},iconColor:{color:L.menuIcon},iconDisabled:{color:L.disabledBodyText},checkmarkIcon:{color:L.bodySubtext},subMenuIcon:{height:CONTEXTUAL_MENU_ITEM_HEIGHT,lineHeight:CONTEXTUAL_MENU_ITEM_HEIGHT,color:j.neutralSecondary,textAlign:"center",display:"inline-block",verticalAlign:"middle",flexShrink:"0",fontSize:IconFontSizes.small,selectors:(N={":hover":{color:j.neutralPrimary},":active":{color:j.neutralPrimary}},N[MediumScreenSelector$1]={fontSize:IconFontSizes.medium},N)},splitButtonFlexContainer:[getFocusStyle(S),{display:"flex",height:CONTEXTUAL_MENU_ITEM_HEIGHT,flexWrap:"nowrap",justifyContent:"center",alignItems:"flex-start"}]};return concatStyleSets(X)}),CONTEXTUAL_SPLIT_MENU_MINWIDTH="28px",MediumScreenSelector=getScreenSelector(0,ScreenWidthMaxMedium),getSplitButtonVerticalDividerClassNames=memoizeFunction(function(S){var C;return mergeStyleSets(getDividerClassNames(S),{wrapper:{position:"absolute",right:28,selectors:(C={},C[MediumScreenSelector]={right:32},C)},divider:{height:16,width:1}})}),GlobalClassNames$4={item:"ms-ContextualMenu-item",divider:"ms-ContextualMenu-divider",root:"ms-ContextualMenu-link",isChecked:"is-checked",isExpanded:"is-expanded",isDisabled:"is-disabled",linkContent:"ms-ContextualMenu-linkContent",linkContentMenu:"ms-ContextualMenu-linkContent",icon:"ms-ContextualMenu-icon",iconColor:"ms-ContextualMenu-iconColor",checkmarkIcon:"ms-ContextualMenu-checkmarkIcon",subMenuIcon:"ms-ContextualMenu-submenuIcon",label:"ms-ContextualMenu-itemText",secondaryText:"ms-ContextualMenu-secondaryText",splitMenu:"ms-ContextualMenu-splitMenu",screenReaderText:"ms-ContextualMenu-screenReaderText"},getItemClassNames=memoizeFunction(function(S,C,R,O,I,N,L,B,j,F,V,K){var W,X,J,oe,pe=getMenuItemStyles(S),me=getGlobalClassNames(GlobalClassNames$4,S);return mergeStyleSets({item:[me.item,pe.item,L],divider:[me.divider,pe.divider,B],root:[me.root,pe.root,O&&[me.isChecked,pe.rootChecked],I&&pe.anchorLink,R&&[me.isExpanded,pe.rootExpanded],C&&[me.isDisabled,pe.rootDisabled],!C&&!R&&[{selectors:(W={":hover":pe.rootHovered,":active":pe.rootPressed},W[".".concat(IsFocusVisibleClassName," &:focus, .").concat(IsFocusVisibleClassName," &:focus:hover")]=pe.rootFocused,W[".".concat(IsFocusVisibleClassName," &:hover")]={background:"inherit;"},W)}],K],splitPrimary:[pe.root,{width:"calc(100% - ".concat(CONTEXTUAL_SPLIT_MENU_MINWIDTH,")")},O&&["is-checked",pe.rootChecked],(C||V)&&["is-disabled",pe.rootDisabled],!(C||V)&&!O&&[{selectors:(X={":hover":pe.rootHovered},X[":hover ~ .".concat(me.splitMenu)]=pe.rootHovered,X[":active"]=pe.rootPressed,X[".".concat(IsFocusVisibleClassName," &:focus, .").concat(IsFocusVisibleClassName," &:focus:hover")]=pe.rootFocused,X[".".concat(IsFocusVisibleClassName," &:hover")]={background:"inherit;"},X)}]],splitMenu:[me.splitMenu,pe.root,{flexBasis:"0",padding:"0 8px",minWidth:CONTEXTUAL_SPLIT_MENU_MINWIDTH},R&&["is-expanded",pe.rootExpanded],C&&["is-disabled",pe.rootDisabled],!C&&!R&&[{selectors:(J={":hover":pe.rootHovered,":active":pe.rootPressed},J[".".concat(IsFocusVisibleClassName," &:focus, .").concat(IsFocusVisibleClassName," &:focus:hover")]=pe.rootFocused,J[".".concat(IsFocusVisibleClassName," &:hover")]={background:"inherit;"},J)}]],anchorLink:pe.anchorLink,linkContent:[me.linkContent,pe.linkContent],linkContentMenu:[me.linkContentMenu,pe.linkContent,{justifyContent:"center"}],icon:[me.icon,N&&pe.iconColor,pe.icon,j,C&&[me.isDisabled,pe.iconDisabled]],iconColor:pe.iconColor,checkmarkIcon:[me.checkmarkIcon,N&&pe.checkmarkIcon,pe.icon,j],subMenuIcon:[me.subMenuIcon,pe.subMenuIcon,F,R&&{color:S.palette.neutralPrimary},C&&[pe.iconDisabled]],label:[me.label,pe.label],secondaryText:[me.secondaryText,pe.secondaryText],splitContainer:[pe.splitButtonFlexContainer,!C&&!O&&[{selectors:(oe={},oe[".".concat(IsFocusVisibleClassName," &:focus, .").concat(IsFocusVisibleClassName," &:focus:hover")]=pe.rootFocused,oe)}]],screenReaderText:[me.screenReaderText,pe.screenReaderText,hiddenContentStyle,{visibility:"hidden"}]})}),getItemStyles=function(S){var C=S.theme,R=S.disabled,O=S.expanded,I=S.checked,N=S.isAnchorLink,L=S.knownIcon,B=S.itemClassName,j=S.dividerClassName,F=S.iconClassName,V=S.subMenuClassName,K=S.primaryDisabled,W=S.className;return getItemClassNames(C,R,O,I,N,L,B,j,F,V,K,W)},ContextualMenuItem=styled(ContextualMenuItemBase,getItemStyles,void 0,{scope:"ContextualMenuItem"}),ContextualMenuItemWrapper=function(S){__extends$3(C,S);function C(R){var O=S.call(this,R)||this;return O._onItemMouseEnter=function(I){var N=O.props,L=N.item,B=N.onItemMouseEnter;B&&B(L,I,I.currentTarget)},O._onItemClick=function(I){var N=O.props,L=N.item,B=N.onItemClickBase;B&&B(L,I,I.currentTarget)},O._onItemMouseLeave=function(I){var N=O.props,L=N.item,B=N.onItemMouseLeave;B&&B(L,I)},O._onItemKeyDown=function(I){var N=O.props,L=N.item,B=N.onItemKeyDown;B&&B(L,I)},O._onItemMouseMove=function(I){var N=O.props,L=N.item,B=N.onItemMouseMove;B&&B(L,I,I.currentTarget)},O._getSubmenuTarget=function(){},initializeComponentRef(O),O}return C.prototype.shouldComponentUpdate=function(R){return!shallowCompare(R,this.props)},C}(reactExports.Component),KTP_PREFIX="ktp",KTP_SEPARATOR="-",DATAKTP_TARGET="data-ktp-target",DATAKTP_EXECUTE_TARGET="data-ktp-execute-target",KTP_LAYER_ID="ktp-layer-id",KeytipEvents;(function(S){S.KEYTIP_ADDED="keytipAdded",S.KEYTIP_REMOVED="keytipRemoved",S.KEYTIP_UPDATED="keytipUpdated",S.PERSISTED_KEYTIP_ADDED="persistedKeytipAdded",S.PERSISTED_KEYTIP_REMOVED="persistedKeytipRemoved",S.PERSISTED_KEYTIP_EXECUTE="persistedKeytipExecute",S.ENTER_KEYTIP_MODE="enterKeytipMode",S.EXIT_KEYTIP_MODE="exitKeytipMode"})(KeytipEvents||(KeytipEvents={}));var KeytipManager=function(){function S(){this.keytips={},this.persistedKeytips={},this.sequenceMapping={},this.inKeytipMode=!1,this.shouldEnterKeytipMode=!0,this.delayUpdatingKeytipChange=!1}return S.getInstance=function(){return this._instance},S.prototype.init=function(C){this.delayUpdatingKeytipChange=C},S.prototype.register=function(C,R){R===void 0&&(R=!1);var O=C;R||(O=this.addParentOverflow(C),this.sequenceMapping[O.keySequences.toString()]=O);var I=this._getUniqueKtp(O);if(R?this.persistedKeytips[I.uniqueID]=I:this.keytips[I.uniqueID]=I,this.inKeytipMode||!this.delayUpdatingKeytipChange){var N=R?KeytipEvents.PERSISTED_KEYTIP_ADDED:KeytipEvents.KEYTIP_ADDED;EventGroup.raise(this,N,{keytip:O,uniqueID:I.uniqueID})}return I.uniqueID},S.prototype.update=function(C,R){var O=this.addParentOverflow(C),I=this._getUniqueKtp(O,R),N=this.keytips[R];N&&(I.keytip.visible=N.keytip.visible,this.keytips[R]=I,delete this.sequenceMapping[N.keytip.keySequences.toString()],this.sequenceMapping[I.keytip.keySequences.toString()]=I.keytip,(this.inKeytipMode||!this.delayUpdatingKeytipChange)&&EventGroup.raise(this,KeytipEvents.KEYTIP_UPDATED,{keytip:I.keytip,uniqueID:I.uniqueID}))},S.prototype.unregister=function(C,R,O){O===void 0&&(O=!1),O?delete this.persistedKeytips[R]:delete this.keytips[R],!O&&delete this.sequenceMapping[C.keySequences.toString()];var I=O?KeytipEvents.PERSISTED_KEYTIP_REMOVED:KeytipEvents.KEYTIP_REMOVED;(this.inKeytipMode||!this.delayUpdatingKeytipChange)&&EventGroup.raise(this,I,{keytip:C,uniqueID:R})},S.prototype.enterKeytipMode=function(){EventGroup.raise(this,KeytipEvents.ENTER_KEYTIP_MODE)},S.prototype.exitKeytipMode=function(){EventGroup.raise(this,KeytipEvents.EXIT_KEYTIP_MODE)},S.prototype.getKeytips=function(){var C=this;return Object.keys(this.keytips).map(function(R){return C.keytips[R].keytip})},S.prototype.addParentOverflow=function(C){var R=__spreadArray$1([],C.keySequences,!0);if(R.pop(),R.length!==0){var O=this.sequenceMapping[R.toString()];if(O&&O.overflowSetSequence)return __assign$4(__assign$4({},C),{overflowSetSequence:O.overflowSetSequence})}return C},S.prototype.menuExecute=function(C,R){EventGroup.raise(this,KeytipEvents.PERSISTED_KEYTIP_EXECUTE,{overflowButtonSequences:C,keytipSequences:R})},S.prototype._getUniqueKtp=function(C,R){return R===void 0&&(R=getId()),{keytip:__assign$4({},C),uniqueID:R}},S._instance=new S,S}();function sequencesToID(S){return S.reduce(function(C,R){return C+KTP_SEPARATOR+R.split("").join(KTP_SEPARATOR)},KTP_PREFIX)}function mergeOverflows(S,C){var R=C.length,O=__spreadArray$1([],C,!0).pop(),I=__spreadArray$1([],S,!0);return addElementAtIndex(I,R-1,O)}function getAriaDescribedBy(S){var C=" "+KTP_LAYER_ID;return S.length?C+" "+sequencesToID(S):C}function useKeytipData(S){var C=reactExports.useRef(),R=S.keytipProps?__assign$4({disabled:S.disabled},S.keytipProps):void 0,O=useConst$1(KeytipManager.getInstance()),I=usePrevious(S);useIsomorphicLayoutEffect(function(){C.current&&R&&((I==null?void 0:I.keytipProps)!==S.keytipProps||(I==null?void 0:I.disabled)!==S.disabled)&&O.update(R,C.current)}),useIsomorphicLayoutEffect(function(){return R&&(C.current=O.register(R)),function(){R&&O.unregister(R,C.current)}},[]);var N={ariaDescribedBy:void 0,keytipId:void 0};return R&&(N=getKeytipData(O,R,S.ariaDescribedBy)),N}function getKeytipData(S,C,R){var O=S.addParentOverflow(C),I=mergeAriaAttributeValues(R,getAriaDescribedBy(O.keySequences)),N=__spreadArray$1([],O.keySequences,!0);O.overflowSetSequence&&(N=mergeOverflows(N,O.overflowSetSequence));var L=sequencesToID(N);return{ariaDescribedBy:I,keytipId:L}}var KeytipData=function(S){var C,R=S.children,O=__rest$1(S,["children"]),I=useKeytipData(O),N=I.keytipId,L=I.ariaDescribedBy;return R((C={},C[DATAKTP_TARGET]=N,C[DATAKTP_EXECUTE_TARGET]=N,C["aria-describedby"]=L,C))},ContextualMenuAnchor=function(S){__extends$3(C,S);function C(){var R=S!==null&&S.apply(this,arguments)||this;return R._anchor=reactExports.createRef(),R._getMemoizedMenuButtonKeytipProps=memoizeFunction(function(O){return __assign$4(__assign$4({},O),{hasMenu:!0})}),R._getSubmenuTarget=function(){return R._anchor.current?R._anchor.current:void 0},R._onItemClick=function(O){var I=R.props,N=I.item,L=I.onItemClick;L&&L(N,O)},R._renderAriaDescription=function(O,I){return O?reactExports.createElement("span",{id:R._ariaDescriptionId,className:I},O):null},R}return C.prototype.render=function(){var R=this,O=this.props,I=O.item,N=O.classNames,L=O.index,B=O.focusableElementIndex,j=O.totalItemCount,F=O.hasCheckmarks,V=O.hasIcons,K=O.expandedMenuItemKey,W=O.onItemClick,X=O.openSubMenu,J=O.dismissSubMenu,oe=O.dismissMenu,pe=ContextualMenuItem;this.props.item.contextualMenuItemAs&&(pe=composeComponentAs(this.props.item.contextualMenuItemAs,pe)),this.props.contextualMenuItemAs&&(pe=composeComponentAs(this.props.contextualMenuItemAs,pe));var me=I.rel;I.target&&I.target.toLowerCase()==="_blank"&&(me=me||"nofollow noopener noreferrer");var xe=hasSubmenu(I),Ae=getNativeProps(I,anchorProperties),ge=isItemDisabled(I),Te=I.itemProps,we=I.ariaDescription,ke=I.keytipProps;ke&&xe&&(ke=this._getMemoizedMenuButtonKeytipProps(ke)),we&&(this._ariaDescriptionId=getId());var Be=mergeAriaAttributeValues(I.ariaDescribedBy,we?this._ariaDescriptionId:void 0,Ae["aria-describedby"]),Ie={"aria-describedby":Be};return reactExports.createElement("div",null,reactExports.createElement(KeytipData,{keytipProps:I.keytipProps,ariaDescribedBy:Be,disabled:ge},function(je){return reactExports.createElement("a",__assign$4({},Ie,Ae,je,{ref:R._anchor,href:I.href,target:I.target,rel:me,className:N.root,role:"menuitem","aria-haspopup":xe||void 0,"aria-expanded":xe?I.key===K:void 0,"aria-posinset":B+1,"aria-setsize":j,"aria-disabled":isItemDisabled(I),style:I.style,onClick:R._onItemClick,onMouseEnter:R._onItemMouseEnter,onMouseLeave:R._onItemMouseLeave,onMouseMove:R._onItemMouseMove,onKeyDown:xe?R._onItemKeyDown:void 0}),reactExports.createElement(pe,__assign$4({componentRef:I.componentRef,item:I,classNames:N,index:L,onCheckmarkClick:F&&W?W:void 0,hasIcons:V,openSubMenu:X,dismissSubMenu:J,dismissMenu:oe,getSubmenuTarget:R._getSubmenuTarget},Te)),R._renderAriaDescription(we,N.screenReaderText))}))},C}(ContextualMenuItemWrapper),ContextualMenuButton=function(S){__extends$3(C,S);function C(){var R=S!==null&&S.apply(this,arguments)||this;return R._btn=reactExports.createRef(),R._getMemoizedMenuButtonKeytipProps=memoizeFunction(function(O){return __assign$4(__assign$4({},O),{hasMenu:!0})}),R._renderAriaDescription=function(O,I){return O?reactExports.createElement("span",{id:R._ariaDescriptionId,className:I},O):null},R._getSubmenuTarget=function(){return R._btn.current?R._btn.current:void 0},R}return C.prototype.render=function(){var R=this,O=this.props,I=O.item,N=O.classNames,L=O.index,B=O.focusableElementIndex,j=O.totalItemCount,F=O.hasCheckmarks,V=O.hasIcons,K=O.contextualMenuItemAs,W=O.expandedMenuItemKey,X=O.onItemMouseDown,J=O.onItemClick,oe=O.openSubMenu,pe=O.dismissSubMenu,me=O.dismissMenu,xe=ContextualMenuItem;I.contextualMenuItemAs&&(xe=composeComponentAs(I.contextualMenuItemAs,xe)),K&&(xe=composeComponentAs(K,xe));var Ae=getIsChecked(I),ge=Ae!==null,Te=getMenuItemAriaRole(I),we=hasSubmenu(I),ke=I.itemProps,Be=I.ariaLabel,Ie=I.ariaDescription,je=getNativeProps(I,buttonProperties);delete je.disabled;var Ke=I.role||Te;Ie&&(this._ariaDescriptionId=getId());var Je=mergeAriaAttributeValues(I.ariaDescribedBy,Ie?this._ariaDescriptionId:void 0,je["aria-describedby"]),Xe={className:N.root,onClick:this._onItemClick,onKeyDown:we?this._onItemKeyDown:void 0,onMouseEnter:this._onItemMouseEnter,onMouseLeave:this._onItemMouseLeave,onMouseDown:function(tt){return X?X(I,tt):void 0},onMouseMove:this._onItemMouseMove,href:I.href,title:I.title,"aria-label":Be,"aria-describedby":Je,"aria-haspopup":we||void 0,"aria-expanded":we?I.key===W:void 0,"aria-posinset":B+1,"aria-setsize":j,"aria-disabled":isItemDisabled(I),"aria-checked":(Ke==="menuitemcheckbox"||Ke==="menuitemradio")&&ge?!!Ae:void 0,"aria-selected":Ke==="menuitem"&&ge?!!Ae:void 0,role:Ke,style:I.style},ot=I.keytipProps;return ot&&we&&(ot=this._getMemoizedMenuButtonKeytipProps(ot)),reactExports.createElement(KeytipData,{keytipProps:ot,ariaDescribedBy:Je,disabled:isItemDisabled(I)},function(tt){return reactExports.createElement("button",__assign$4({ref:R._btn},je,Xe,tt),reactExports.createElement(xe,__assign$4({componentRef:I.componentRef,item:I,classNames:N,index:L,onCheckmarkClick:F&&J?J:void 0,hasIcons:V,openSubMenu:oe,dismissSubMenu:pe,dismissMenu:me,getSubmenuTarget:R._getSubmenuTarget},ke)),R._renderAriaDescription(Ie,N.screenReaderText))})},C}(ContextualMenuItemWrapper),getStyles$4=function(S){var C=S.theme,R=S.getClassNames,O=S.className;if(!C)throw new Error("Theme is undefined or null.");if(R){var I=R(C);return{wrapper:[I.wrapper],divider:[I.divider]}}return{wrapper:[{display:"inline-flex",height:"100%",alignItems:"center"},O],divider:[{width:1,height:"100%",backgroundColor:C.palette.neutralTertiaryAlt}]}},getClassNames$4=classNamesFunction(),VerticalDividerBase=reactExports.forwardRef(function(S,C){var R=S.styles,O=S.theme,I=S.getClassNames,N=S.className,L=getClassNames$4(R,{theme:O,getClassNames:I,className:N});return reactExports.createElement("span",{className:L.wrapper,ref:C},reactExports.createElement("span",{className:L.divider}))});VerticalDividerBase.displayName="VerticalDividerBase";var VerticalDivider=styled(VerticalDividerBase,getStyles$4,void 0,{scope:"VerticalDivider"}),TouchIdleDelay=500,ContextualMenuSplitButton=function(S){__extends$3(C,S);function C(R){var O=S.call(this,R)||this;return O._getMemoizedMenuButtonKeytipProps=memoizeFunction(function(I){return __assign$4(__assign$4({},I),{hasMenu:!0})}),O._onItemKeyDown=function(I){var N=O.props,L=N.item,B=N.onItemKeyDown;I.which===KeyCodes$1.enter?(O._executeItemClick(I),I.preventDefault(),I.stopPropagation()):B&&B(L,I)},O._getSubmenuTarget=function(){return O._splitButton},O._renderAriaDescription=function(I,N){return I?reactExports.createElement("span",{id:O._ariaDescriptionId,className:N},I):null},O._onItemMouseEnterPrimary=function(I){var N=O.props,L=N.item,B=N.onItemMouseEnter;B&&B(__assign$4(__assign$4({},L),{subMenuProps:void 0,items:void 0}),I,O._splitButton)},O._onItemMouseEnterIcon=function(I){var N=O.props,L=N.item,B=N.onItemMouseEnter;B&&B(L,I,O._splitButton)},O._onItemMouseMovePrimary=function(I){var N=O.props,L=N.item,B=N.onItemMouseMove;B&&B(__assign$4(__assign$4({},L),{subMenuProps:void 0,items:void 0}),I,O._splitButton)},O._onItemMouseMoveIcon=function(I){var N=O.props,L=N.item,B=N.onItemMouseMove;B&&B(L,I,O._splitButton)},O._onIconItemClick=function(I){var N=O.props,L=N.item,B=N.onItemClickBase;B&&B(L,I,O._splitButton?O._splitButton:I.currentTarget)},O._executeItemClick=function(I){var N=O.props,L=N.item,B=N.executeItemClick,j=N.onItemClick;if(!(L.disabled||L.isDisabled)){if(O._processingTouch&&!L.canCheck&&j)return j(L,I);B&&B(L,I)}},O._onTouchStart=function(I){O._splitButton&&!("onpointerdown"in O._splitButton)&&O._handleTouchAndPointerEvent(I)},O._onPointerDown=function(I){I.pointerType==="touch"&&(O._handleTouchAndPointerEvent(I),I.preventDefault(),I.stopImmediatePropagation())},O._async=new Async(O),O._events=new EventGroup(O),O._dismissLabelId=getId(),O}return C.prototype.componentDidMount=function(){this._splitButton&&"onpointerdown"in this._splitButton&&this._events.on(this._splitButton,"pointerdown",this._onPointerDown,!0)},C.prototype.componentWillUnmount=function(){this._async.dispose(),this._events.dispose()},C.prototype.render=function(){var R=this,O,I=this.props,N=I.item,L=I.classNames,B=I.index,j=I.focusableElementIndex,F=I.totalItemCount,V=I.hasCheckmarks,K=I.hasIcons,W=I.onItemMouseLeave,X=I.expandedMenuItemKey,J=hasSubmenu(N),oe=N.keytipProps;oe&&(oe=this._getMemoizedMenuButtonKeytipProps(oe));var pe=N.ariaDescription;pe&&(this._ariaDescriptionId=getId());var me=(O=getIsChecked(N))!==null&&O!==void 0?O:void 0;return reactExports.createElement(KeytipData,{keytipProps:oe,disabled:isItemDisabled(N)},function(xe){return reactExports.createElement("div",{"data-ktp-target":xe["data-ktp-target"],ref:function(Ae){return R._splitButton=Ae},role:getMenuItemAriaRole(N),"aria-label":N.ariaLabel,className:L.splitContainer,"aria-disabled":isItemDisabled(N),"aria-expanded":J?N.key===X:void 0,"aria-haspopup":!0,"aria-describedby":mergeAriaAttributeValues(N.ariaDescribedBy,pe?R._ariaDescriptionId:void 0,xe["aria-describedby"]),"aria-checked":me,"aria-posinset":j+1,"aria-setsize":F,onMouseEnter:R._onItemMouseEnterPrimary,onMouseLeave:W?W.bind(R,__assign$4(__assign$4({},N),{subMenuProps:null,items:null})):void 0,onMouseMove:R._onItemMouseMovePrimary,onKeyDown:R._onItemKeyDown,onClick:R._executeItemClick,onTouchStart:R._onTouchStart,tabIndex:0,"data-is-focusable":!0,"aria-roledescription":N["aria-roledescription"]},R._renderSplitPrimaryButton(N,L,B,V,K),R._renderSplitDivider(N),R._renderSplitIconButton(N,L,B,xe),R._renderAriaDescription(pe,L.screenReaderText))})},C.prototype._renderSplitPrimaryButton=function(R,O,I,N,L){var B=this.props,j=B.contextualMenuItemAs,F=j===void 0?ContextualMenuItem:j,V=B.onItemClick,K={key:R.key,disabled:isItemDisabled(R)||R.primaryDisabled,name:R.name,text:R.text||R.name,secondaryText:R.secondaryText,className:O.splitPrimary,canCheck:R.canCheck,isChecked:R.isChecked,checked:R.checked,iconProps:R.iconProps,id:this._dismissLabelId,onRenderIcon:R.onRenderIcon,data:R.data,"data-is-focusable":!1},W=R.itemProps;return reactExports.createElement("button",__assign$4({},getNativeProps(K,buttonProperties)),reactExports.createElement(F,__assign$4({"data-is-focusable":!1,item:K,classNames:O,index:I,onCheckmarkClick:N&&V?V:void 0,hasIcons:L},W)))},C.prototype._renderSplitDivider=function(R){var O=R.getSplitButtonVerticalDividerClassNames||getSplitButtonVerticalDividerClassNames;return reactExports.createElement(VerticalDivider,{getClassNames:O})},C.prototype._renderSplitIconButton=function(R,O,I,N){var L=this.props,B=L.onItemMouseLeave,j=L.onItemMouseDown,F=L.openSubMenu,V=L.dismissSubMenu,K=L.dismissMenu,W=ContextualMenuItem;this.props.item.contextualMenuItemAs&&(W=composeComponentAs(this.props.item.contextualMenuItemAs,W)),this.props.contextualMenuItemAs&&(W=composeComponentAs(this.props.contextualMenuItemAs,W));var X={onClick:this._onIconItemClick,disabled:isItemDisabled(R),className:O.splitMenu,subMenuProps:R.subMenuProps,submenuIconProps:R.submenuIconProps,split:!0,key:R.key,"aria-labelledby":this._dismissLabelId},J=__assign$4(__assign$4({},getNativeProps(X,buttonProperties)),{onMouseEnter:this._onItemMouseEnterIcon,onMouseLeave:B?B.bind(this,R):void 0,onMouseDown:function(pe){return j?j(R,pe):void 0},onMouseMove:this._onItemMouseMoveIcon,"data-is-focusable":!1,"data-ktp-execute-target":N["data-ktp-execute-target"],"aria-haspopup":!0}),oe=R.itemProps;return reactExports.createElement("button",__assign$4({},J),reactExports.createElement(W,__assign$4({componentRef:R.componentRef,item:X,classNames:O,index:I,hasIcons:!1,openSubMenu:F,dismissSubMenu:V,dismissMenu:K,getSubmenuTarget:this._getSubmenuTarget},oe)))},C.prototype._handleTouchAndPointerEvent=function(R){var O=this,I=this.props.onTap;I&&I(R),this._lastTouchTimeoutId&&(this._async.clearTimeout(this._lastTouchTimeoutId),this._lastTouchTimeoutId=void 0),this._processingTouch=!0,this._lastTouchTimeoutId=this._async.setTimeout(function(){O._processingTouch=!1,O._lastTouchTimeoutId=void 0},TouchIdleDelay)},C}(ContextualMenuItemWrapper),ResponsiveMode;(function(S){S[S.small=0]="small",S[S.medium=1]="medium",S[S.large=2]="large",S[S.xLarge=3]="xLarge",S[S.xxLarge=4]="xxLarge",S[S.xxxLarge=5]="xxxLarge",S[S.unknown=999]="unknown"})(ResponsiveMode||(ResponsiveMode={}));var RESPONSIVE_MAX_CONSTRAINT=[479,639,1023,1365,1919,99999999],_defaultMode,_lastMode;function getInitialResponsiveMode(){var S;return(S=_defaultMode??_lastMode)!==null&&S!==void 0?S:ResponsiveMode.large}function getWidthOfCurrentWindow(S){try{return S.document.documentElement.clientWidth}catch{return S.innerWidth}}function getResponsiveMode(S){var C=ResponsiveMode.small;if(S){try{for(;getWidthOfCurrentWindow(S)>RESPONSIVE_MAX_CONSTRAINT[C];)C++}catch{C=getInitialResponsiveMode()}_lastMode=C}else throw new Error("Content was rendered in a server environment without providing a default responsive mode. Call setResponsiveMode to define what the responsive mode is.");return C}var useResponsiveMode=function(S,C){var R=reactExports.useState(getInitialResponsiveMode()),O=R[0],I=R[1],N=reactExports.useCallback(function(){var B=getResponsiveMode(getWindow(S.current));O!==B&&I(B)},[S,O]),L=useWindow();return useOnEvent(L,"resize",N),reactExports.useEffect(function(){C===void 0&&N()},[C]),C??O},MenuContext=reactExports.createContext({}),getClassNames$3=classNamesFunction(),getContextualMenuItemClassNames=classNamesFunction(),DEFAULT_PROPS$1={items:[],shouldFocusOnMount:!0,gapSpace:0,directionalHint:DirectionalHint.bottomAutoEdge,beakWidth:16};function getItemCount(S){for(var C=0,R=0,O=S;R<O.length;R++){var I=O[R];if(I.itemType!==ContextualMenuItemType.Divider&&I.itemType!==ContextualMenuItemType.Header){var N=I.customOnRenderListLength?I.customOnRenderListLength:1;C+=N}}return C}function getSubmenuItems(S,C){var R=C==null?void 0:C.target,O=S.subMenuProps?S.subMenuProps.items:S.items;if(O){for(var I=[],N=0,L=O;N<L.length;N++){var B=L[N];if(B.preferMenuTargetAsEventTarget){var j=B.onClick,F=__rest$1(B,["onClick"]);I.push(__assign$4(__assign$4({},F),{onClick:getOnClickWithOverrideTarget(j,R)}))}else I.push(B)}return I}}function canAnyMenuItemsCheck(S){return S.some(function(C){return!!(C.canCheck||C.sectionProps&&C.sectionProps.items.some(function(R){return R.canCheck===!0}))})}var NavigationIdleDelay=250,COMPONENT_NAME="ContextualMenu",_getMenuItemStylesFunction=memoizeFunction(function(){for(var S=[],C=0;C<arguments.length;C++)S[C]=arguments[C];return function(R){return concatStyleSetsWithProps.apply(void 0,__spreadArray$1([R,getItemStyles],S,!1))}});function useVisibility(S,C){var R=S.hidden,O=R===void 0?!1:R,I=S.onMenuDismissed,N=S.onMenuOpened,L=usePrevious(O),B=reactExports.useRef(N),j=reactExports.useRef(I),F=reactExports.useRef(S);B.current=N,j.current=I,F.current=S,reactExports.useEffect(function(){var V,K;O&&L===!1?(V=j.current)===null||V===void 0||V.call(j,F.current):!O&&L!==!1&&((K=B.current)===null||K===void 0||K.call(B,F.current))},[O,L]),reactExports.useEffect(function(){return function(){var V;return(V=j.current)===null||V===void 0?void 0:V.call(j,F.current)}},[])}function useSubMenuState(S,C){var R=S.hidden,O=S.items,I=S.theme,N=S.className,L=S.id,B=S.target,j=reactExports.useState(),F=j[0],V=j[1],K=reactExports.useState(),W=K[0],X=K[1],J=reactExports.useState(),oe=J[0],pe=J[1],me=useId(COMPONENT_NAME,L),xe=reactExports.useCallback(function(){pe(void 0),V(void 0),X(void 0)},[]),Ae=reactExports.useCallback(function(we,ke,Be){var Ie=we.key;F!==Ie&&(ke.focus(),pe(Be),V(Ie),X(ke))},[F]);reactExports.useEffect(function(){R&&xe()},[R,xe]);var ge=useOnSubmenuDismiss(C,xe),Te=function(){var we=findItemByKeyFromItems(F,O),ke=null;if(we&&(ke={items:getSubmenuItems(we,{target:B}),target:W,onDismiss:ge,isSubMenu:!0,id:me,shouldFocusOnMount:!0,shouldFocusOnContainer:oe,directionalHint:getRTL$1(I)?DirectionalHint.leftTopEdge:DirectionalHint.rightTopEdge,className:N,gapSpace:0,isBeakVisible:!1},we.subMenuProps&&assign$3(ke,we.subMenuProps),we.preferMenuTargetAsEventTarget)){var Be=we.onItemClick;ke.onItemClick=getOnClickWithOverrideTarget(Be,B)}return ke};return[F,Ae,Te,ge]}function useShouldUpdateFocusOnMouseMove(S){var C=S.delayUpdateFocusOnHover,R=S.hidden,O=reactExports.useRef(!C),I=reactExports.useRef(!1);reactExports.useEffect(function(){O.current=!C,I.current=R?!1:!C&&I.current},[C,R]);var N=reactExports.useCallback(function(){C&&(O.current=!1)},[C]);return[O,I,N]}function usePreviousActiveElement(S,C,R){var O=S.hidden,I=S.onRestoreFocus,N=reactExports.useRef(),L=reactExports.useCallback(function(B){var j,F;I?I(B):B!=null&&B.documentContainsFocus&&((F=(j=N.current)===null||j===void 0?void 0:j.focus)===null||F===void 0||F.call(j))},[I]);return useIsomorphicLayoutEffect(function(){var B,j;if(O)N.current&&(L({originalElement:N.current,containsFocus:!0,documentContainsFocus:((j=getDocument())===null||j===void 0?void 0:j.hasFocus())||!1}),N.current=void 0);else{var F=C==null?void 0:C.document.activeElement;!(!((B=R.current)===null||B===void 0)&&B.contains(F))&&F.tagName!=="BODY"&&(N.current=F)}},[O,C==null?void 0:C.document.activeElement,L,R]),[L]}function useKeyHandlers(S,C,R,O){var I=S.theme,N=S.isSubMenu,L=S.focusZoneProps,B=L===void 0?{}:L,j=B.checkForNoWrap,F=B.direction,V=F===void 0?FocusZoneDirection.vertical:F,K=reactExports.useRef(),W=function(ge,Te,we){var ke=!1;return Te(ge)&&(C(ge,we),ge.preventDefault(),ge.stopPropagation(),ke=!0),ke},X=function(ge){var Te=getRTL$1(I)?KeyCodes$1.right:KeyCodes$1.left;return ge.which!==Te||!N?!1:!!(V===FocusZoneDirection.vertical||j&&!shouldWrapFocus(ge.target,"data-no-horizontal-wrap"))},J=function(ge){return ge.which===KeyCodes$1.escape||X(ge)||ge.which===KeyCodes$1.up&&(ge.altKey||ge.metaKey)},oe=function(ge){K.current=isAltOrMeta(ge);var Te=ge.which===KeyCodes$1.escape&&(isMac()||isIOS());return W(ge,J,Te)},pe=function(ge){var Te=K.current&&isAltOrMeta(ge);return K.current=!1,!!Te&&!(isIOS()||isMac())},me=function(ge){return W(ge,pe,!0)},xe=function(ge){var Te=oe(ge);if(!(Te||!R.current)){var we=!!(ge.altKey||ge.metaKey),ke=ge.which===KeyCodes$1.up,Be=ge.which===KeyCodes$1.down;if(!we&&(ke||Be)){var Ie=ke?getLastFocusable(R.current,R.current.lastChild,!0):getFirstFocusable(R.current,R.current.firstChild,!0);Ie&&(Ie.focus(),ge.preventDefault(),ge.stopPropagation())}}},Ae=function(ge,Te){var we=getRTL$1(I)?KeyCodes$1.left:KeyCodes$1.right;!ge.disabled&&(Te.which===we||Te.which===KeyCodes$1.enter||Te.which===KeyCodes$1.down&&(Te.altKey||Te.metaKey))&&(O(ge,Te.currentTarget),Te.preventDefault())};return[oe,me,xe,Ae]}function useScrollHandler(S){var C=reactExports.useRef(!0),R=reactExports.useRef(),O=function(){!C.current&&R.current!==void 0?(S.clearTimeout(R.current),R.current=void 0):C.current=!1,R.current=S.setTimeout(function(){C.current=!0},NavigationIdleDelay)};return[O,C]}function useOnSubmenuDismiss(S,C){var R=reactExports.useRef(!1);reactExports.useEffect(function(){return R.current=!0,function(){R.current=!1}},[]);var O=function(I,N){N?S(I,N):R.current&&C()};return O}function useSubmenuEnterTimer(S,C){var R=S.subMenuHoverDelay,O=R===void 0?NavigationIdleDelay:R,I=reactExports.useRef(void 0),N=function(){I.current!==void 0&&(C.clearTimeout(I.current),I.current=void 0)},L=function(B){I.current=C.setTimeout(function(){B(),N()},O)};return[N,L,I]}function useMouseHandlers(S,C,R,O,I,N,L,B,j,F,V,K,W){var X=S.target,J=function(ke,Be,Ie){I.current&&(N.current=!0),!pe()&&xe(ke,Be,Ie)},oe=function(ke,Be,Ie){var je=Be.currentTarget;if(I.current)N.current=!0;else return;!C.current||R.current!==void 0||je===(O==null?void 0:O.document.activeElement)||xe(ke,Be,Ie)},pe=function(){return!C.current||!N.current},me=function(ke,Be){var Ie;if(!pe()&&(F(),L===void 0))if(B.current.setActive)try{B.current.setActive()}catch{}else(Ie=B.current)===null||Ie===void 0||Ie.focus()},xe=function(ke,Be,Ie){var je=Ie||Be.currentTarget;ke.key!==L&&(F(),L===void 0&&je.focus(),hasSubmenu(ke)?(Be.stopPropagation(),j(function(){je.focus(),V(ke,je,!0)})):j(function(){K(Be),je.focus()}))},Ae=function(ke,Be){ge(ke,Be,Be.currentTarget)},ge=function(ke,Be,Ie){var je=getSubmenuItems(ke,{target:X});if(F(),!hasSubmenu(ke)&&(!je||!je.length))we(ke,Be);else if(ke.key!==L){var Ke=typeof S.shouldFocusOnContainer=="boolean"?S.shouldFocusOnContainer:Be.nativeEvent.pointerType==="mouse";V(ke,Ie,Ke)}Be.stopPropagation(),Be.preventDefault()},Te=function(ke,Be){we(ke,Be),Be.stopPropagation()},we=function(ke,Be){if(!(ke.disabled||ke.isDisabled)){ke.preferMenuTargetAsEventTarget&&overrideTarget(Be,X);var Ie=!1;ke.onClick?Ie=!!ke.onClick(Be,ke):S.onItemClick&&(Ie=!!S.onItemClick(Be,ke)),(Ie||!Be.defaultPrevented)&&W(Be,!0)}};return[J,oe,me,Ae,Te,we,ge]}var ContextualMenuBase=reactExports.memo(reactExports.forwardRef(function(S,C){var R,O=getPropsWithDefaults(DEFAULT_PROPS$1,S);O.ref;var I=__rest$1(O,["ref"]),N=reactExports.useRef(null),L=useAsync(),B=useId(COMPONENT_NAME,I.id);useWarnings({name:COMPONENT_NAME,props:I,deprecations:{getMenuClassNames:"styles"}});var j=function(Dt,St){var wt;return(wt=I.onDismiss)===null||wt===void 0?void 0:wt.call(I,Dt,St)},F=useTarget(I.target,N),V=F[0],K=F[1],W=usePreviousActiveElement(I,K,N)[0],X=useSubMenuState(I,j),J=X[0],oe=X[1],pe=X[2],me=X[3],xe=useShouldUpdateFocusOnMouseMove(I),Ae=xe[0],ge=xe[1],Te=xe[2],we=useScrollHandler(L),ke=we[0],Be=we[1],Ie=useSubmenuEnterTimer(I,L),je=Ie[0],Ke=Ie[1],Je=Ie[2],Xe=useResponsiveMode(N,I.responsiveMode);useVisibility(I);var ot=useKeyHandlers(I,j,N,oe),tt=ot[0],Ue=ot[1],et=ot[2],dt=ot[3],gt=useMouseHandlers(I,Be,Je,K,Ae,ge,J,N,Ke,je,oe,me,j),Qe=gt[0],lt=gt[1],ht=gt[2],Ct=gt[3],$t=gt[4],Lt=gt[5],Gt=gt[6],Pt=function(Dt,St,wt){var yt=0,Rt=Dt.items,Nt=Dt.totalItemCount,Yt=Dt.hasCheckmarks,lr=Dt.hasIcons;return reactExports.createElement("ul",{className:St.list,onKeyDown:tt,onKeyUp:Ue,role:"presentation"},Rt.map(function(vr,Qt){var Ar=bt(vr,Qt,yt,Nt,Yt,lr,St);if(vr.itemType!==ContextualMenuItemType.Divider&&vr.itemType!==ContextualMenuItemType.Header){var un=vr.customOnRenderListLength?vr.customOnRenderListLength:1;yt+=un}return Ar}))},Vt=function(Dt,St){var wt=I.focusZoneAs,yt=wt===void 0?FocusZone:wt;return reactExports.createElement(yt,__assign$4({},St),Dt)},bt=function(Dt,St,wt,yt,Rt,Nt,Yt){var lr,vr=[],Qt=Dt.iconProps||{iconName:"None"},Ar=Dt.getItemClassNames,un=Dt.itemProps,po=un?un.styles:void 0,In=Dt.itemType===ContextualMenuItemType.Divider?Dt.className:void 0,xo=Dt.submenuIconProps?Dt.submenuIconProps.className:"",Vn;if(Ar)Vn=Ar(I.theme,isItemDisabled(Dt),J===Dt.key,!!getIsChecked(Dt),!!Dt.href,Qt.iconName!=="None",Dt.className,In,Qt.className,xo,Dt.primaryDisabled);else{var Ro={theme:I.theme,disabled:isItemDisabled(Dt),expanded:J===Dt.key,checked:!!getIsChecked(Dt),isAnchorLink:!!Dt.href,knownIcon:Qt.iconName!=="None",itemClassName:Dt.className,dividerClassName:In,iconClassName:Qt.className,subMenuClassName:xo,primaryDisabled:Dt.primaryDisabled};Vn=getContextualMenuItemClassNames(_getMenuItemStylesFunction((lr=Yt.subComponentStyles)===null||lr===void 0?void 0:lr.menuItem,po),Ro)}switch((Dt.text==="-"||Dt.name==="-")&&(Dt.itemType=ContextualMenuItemType.Divider),Dt.itemType){case ContextualMenuItemType.Divider:vr.push(Kt(St,Vn));break;case ContextualMenuItemType.Header:vr.push(Kt(St,Vn));var Nn=wr(Dt,Vn,Yt,St,Rt,Nt);vr.push(kt(Nn,Dt.key||St,Vn,Dt.title));break;case ContextualMenuItemType.Section:vr.push(Ht(Dt,Vn,Yt,St,Rt,Nt));break;default:var so=function(){return tr(Dt,Vn,St,wt,yt,Rt,Nt)},Ei=I.onRenderContextualMenuItem?I.onRenderContextualMenuItem(Dt,so):so();vr.push(kt(Ei,Dt.key||St,Vn,Dt.title));break}return reactExports.createElement(reactExports.Fragment,{key:Dt.key},vr)},It=function(Dt,St){var wt=Dt.index,yt=Dt.focusableElementIndex,Rt=Dt.totalItemCount,Nt=Dt.hasCheckmarks,Yt=Dt.hasIcons;return bt(Dt,wt,yt,Rt,Nt,Yt,St)},Ht=function(Dt,St,wt,yt,Rt,Nt){var Yt=Dt.sectionProps;if(Yt){var lr,vr;if(Yt.title){var Qt=void 0,Ar="";if(typeof Yt.title=="string"){var un=B+Yt.title.replace(/\s/g,"");Qt={key:"section-".concat(Yt.title,"-title"),itemType:ContextualMenuItemType.Header,text:Yt.title,id:un},Ar=un}else{var po=Yt.title.id||B+Yt.title.key.replace(/\s/g,"");Qt=__assign$4(__assign$4({},Yt.title),{id:po}),Ar=po}Qt&&(vr={role:"group","aria-labelledby":Ar},lr=wr(Qt,St,wt,yt,Rt,Nt))}if(Yt.items&&Yt.items.length>0){var In=0;return reactExports.createElement("li",{role:"presentation",key:Yt.key||Dt.key||"section-".concat(yt)},reactExports.createElement("div",__assign$4({},vr),reactExports.createElement("ul",{className:wt.list,role:"presentation"},Yt.topDivider&&Kt(yt,St,!0,!0),lr&&kt(lr,Dt.key||yt,St,Dt.title),Yt.items.map(function(xo,Vn){var Ro=bt(xo,Vn,In,getItemCount(Yt.items),Rt,Nt,wt);if(xo.itemType!==ContextualMenuItemType.Divider&&xo.itemType!==ContextualMenuItemType.Header){var Nn=xo.customOnRenderListLength?xo.customOnRenderListLength:1;In+=Nn}return Ro}),Yt.bottomDivider&&Kt(yt,St,!1,!0))))}}},kt=function(Dt,St,wt,yt){return reactExports.createElement("li",{role:"presentation",title:yt,key:St,className:wt.item},Dt)},Kt=function(Dt,St,wt,yt){return yt||Dt>0?reactExports.createElement("li",{role:"separator",key:"separator-"+Dt+(wt===void 0?"":wt?"-top":"-bottom"),className:St.divider,"aria-hidden":"true"}):null},tr=function(Dt,St,wt,yt,Rt,Nt,Yt){if(Dt.onRender)return Dt.onRender(__assign$4({"aria-posinset":yt+1,"aria-setsize":Rt},Dt),j);var lr=I.contextualMenuItemAs,vr={item:Dt,classNames:St,index:wt,focusableElementIndex:yt,totalItemCount:Rt,hasCheckmarks:Nt,hasIcons:Yt,contextualMenuItemAs:lr,onItemMouseEnter:Qe,onItemMouseLeave:ht,onItemMouseMove:lt,onItemMouseDown,executeItemClick:Lt,onItemKeyDown:dt,expandedMenuItemKey:J,openSubMenu:oe,dismissSubMenu:me,dismissMenu:j};if(Dt.href){var Qt=ContextualMenuAnchor;return Dt.contextualMenuItemWrapperAs&&(Qt=composeComponentAs(Dt.contextualMenuItemWrapperAs,Qt)),reactExports.createElement(Qt,__assign$4({},vr,{onItemClick:$t}))}if(Dt.split&&hasSubmenu(Dt)){var Ar=ContextualMenuSplitButton;return Dt.contextualMenuItemWrapperAs&&(Ar=composeComponentAs(Dt.contextualMenuItemWrapperAs,Ar)),reactExports.createElement(Ar,__assign$4({},vr,{onItemClick:Ct,onItemClickBase:Gt,onTap:je}))}var un=ContextualMenuButton;return Dt.contextualMenuItemWrapperAs&&(un=composeComponentAs(Dt.contextualMenuItemWrapperAs,un)),reactExports.createElement(un,__assign$4({},vr,{onItemClick:Ct,onItemClickBase:Gt}))},wr=function(Dt,St,wt,yt,Rt,Nt){var Yt=ContextualMenuItem;Dt.contextualMenuItemAs&&(Yt=composeComponentAs(Dt.contextualMenuItemAs,Yt)),I.contextualMenuItemAs&&(Yt=composeComponentAs(I.contextualMenuItemAs,Yt));var lr=Dt.itemProps,vr=Dt.id,Qt=lr&&getNativeProps(lr,divProperties);return reactExports.createElement("div",__assign$4({id:vr,className:wt.header},Qt,{style:Dt.style}),reactExports.createElement(Yt,__assign$4({item:Dt,classNames:St,index:yt,onCheckmarkClick:Rt?Ct:void 0,hasIcons:Nt},lr)))},xr=I.isBeakVisible,Vr=I.items,bn=I.labelElementId,Bn=I.id,An=I.className,Tn=I.beakWidth,pn=I.directionalHint,Mn=I.directionalHintForRTL,bo=I.alignTargetEdge,mr=I.gapSpace,sr=I.coverTarget,Ut=I.ariaLabel,nr=I.doNotLayer,Ir=I.target,jr=I.bounds,Rr=I.useTargetWidth,fr=I.useTargetAsMinWidth,Or=I.directionalHintFixed,Jr=I.shouldFocusOnMount,nn=I.shouldFocusOnContainer,hn=I.title,Gn=I.styles,Zn=I.theme,Eo=I.calloutProps,vo=I.onRenderSubMenu,Fo=vo===void 0?onDefaultRenderSubMenu:vo,Ln=I.onRenderMenuList,xn=Ln===void 0?function(Dt,St){return Pt(Dt,zo)}:Ln,Ko=I.focusZoneProps,ao=I.getMenuClassNames,zo=ao?ao(Zn,An):getClassNames$3(Gn,{theme:Zn,className:An}),fo=Wn(Vr);function Wn(Dt){for(var St=0,wt=Dt;St<wt.length;St++){var yt=wt[St];if(yt.iconProps||yt.itemType===ContextualMenuItemType.Section&&yt.sectionProps&&Wn(yt.sectionProps.items))return!0}return!1}var wn=__assign$4(__assign$4({direction:FocusZoneDirection.vertical,handleTabKey:FocusZoneTabbableElements.all,isCircularNavigation:!0},Ko),{className:css$3(zo.root,(R=I.focusZoneProps)===null||R===void 0?void 0:R.className)}),cn=canAnyMenuItemsCheck(Vr),vi=J&&I.hidden!==!0?pe():null;xr=xr===void 0?Xe<=ResponsiveMode.medium:xr;var ca,Go=V.current;if((Rr||fr)&&Go&&Go.offsetWidth){var di=Go.getBoundingClientRect(),Qi=di.width-2;Rr?ca={width:Qi}:fr&&(ca={minWidth:Qi})}if(Vr&&Vr.length>0){var Oa=getItemCount(Vr),gs=zo.subComponentStyles?zo.subComponentStyles.callout:void 0;return reactExports.createElement(MenuContext.Consumer,null,function(Dt){return reactExports.createElement(Callout,__assign$4({styles:gs,onRestoreFocus:W},Eo,{target:Ir||Dt.target,isBeakVisible:xr,beakWidth:Tn,directionalHint:pn,directionalHintForRTL:Mn,gapSpace:mr,coverTarget:sr,doNotLayer:nr,className:css$3("ms-ContextualMenu-Callout",Eo&&Eo.className),setInitialFocus:Jr,onDismiss:I.onDismiss||Dt.onDismiss,onScroll:ke,bounds:jr,directionalHintFixed:Or,alignTargetEdge:bo,hidden:I.hidden||Dt.hidden,ref:C}),reactExports.createElement("div",{style:ca,ref:N,id:Bn,className:zo.container,tabIndex:nn?0:-1,onKeyDown:et,onKeyUp:Ue,onFocusCapture:Te,"aria-label":Ut,"aria-labelledby":bn,role:"menu"},hn&&reactExports.createElement("div",{className:zo.title}," ",hn," "),Vr&&Vr.length?Vt(xn({ariaLabel:Ut,items:Vr,totalItemCount:Oa,hasCheckmarks:cn,hasIcons:fo,defaultMenuItemRenderer:function(St){return It(St,zo)},labelElementId:bn},function(St,wt){return Pt(St,zo)}),wn):null,vi&&Fo(vi,onDefaultRenderSubMenu)),reactExports.createElement(FocusRects,null))})}else return null}),function(S,C){return!C.shouldUpdateWhenHidden&&S.hidden&&C.hidden?!0:shallowCompare(S,C)});ContextualMenuBase.displayName="ContextualMenuBase";function isAltOrMeta(S){return S.which===KeyCodes$1.alt||S.key==="Meta"}function onItemMouseDown(S,C){var R;(R=S.onMouseDown)===null||R===void 0||R.call(S,S,C)}function onDefaultRenderSubMenu(S,C){throw Error("ContextualMenuBase: onRenderSubMenu callback is null or undefined. Please ensure to set `onRenderSubMenu` property either manually or with `styled` helper.")}function findItemByKeyFromItems(S,C){for(var R=0,O=C;R<O.length;R++){var I=O[R];if(I.itemType===ContextualMenuItemType.Section&&I.sectionProps){var N=findItemByKeyFromItems(S,I.sectionProps.items);if(N)return N}else if(I.key&&I.key===S)return I}}function getOnClickWithOverrideTarget(S,C){return S&&function(R,O){return overrideTarget(R,C),S(R,O)}}function overrideTarget(S,C){S&&C&&(S.persist(),C instanceof Event?S.target=C.target:C instanceof Element&&(S.target=C))}var GlobalClassNames$3={root:"ms-ContextualMenu",container:"ms-ContextualMenu-container",list:"ms-ContextualMenu-list",header:"ms-ContextualMenu-header",title:"ms-ContextualMenu-title",isopen:"is-open"},getStyles$3=function(S){var C=S.className,R=S.theme,O=getGlobalClassNames(GlobalClassNames$3,R),I=R.fonts,N=R.semanticColors,L=R.effects;return{root:[R.fonts.medium,O.root,O.isopen,{backgroundColor:N.menuBackground,minWidth:"180px"},C],container:[O.container,{selectors:{":focus":{outline:0}}}],list:[O.list,O.isopen,{listStyleType:"none",margin:"0",padding:"0"}],header:[O.header,I.small,{fontWeight:FontWeights.semibold,color:N.menuHeader,background:"none",backgroundColor:"transparent",border:"none",height:CONTEXTUAL_MENU_ITEM_HEIGHT,lineHeight:CONTEXTUAL_MENU_ITEM_HEIGHT,cursor:"default",padding:"0px 6px",userSelect:"none",textAlign:"left"}],title:[O.title,{fontSize:I.mediumPlus.fontSize,paddingRight:"14px",paddingLeft:"14px",paddingBottom:"5px",paddingTop:"5px",backgroundColor:N.menuItemBackgroundPressed}],subComponentStyles:{callout:{root:{boxShadow:L.elevation8}},menuItem:{}}}};function onRenderSubMenu(S){return reactExports.createElement(LocalContextualMenu,__assign$4({},S))}var LocalContextualMenu=styled(ContextualMenuBase,getStyles$3,function(S){return{onRenderSubMenu:S.onRenderSubMenu?composeRenderFunction(S.onRenderSubMenu,onRenderSubMenu):onRenderSubMenu}},{scope:"ContextualMenu"}),ContextualMenu=LocalContextualMenu;ContextualMenu.displayName="ContextualMenu";var animationDuration=AnimationVariables.durationValue2,globalClassNames={root:"ms-Modal",main:"ms-Dialog-main",scrollableContent:"ms-Modal-scrollableContent",isOpen:"is-open",layer:"ms-Modal-Layer"},getStyles$2=function(S){var C,R=S.className,O=S.containerClassName,I=S.scrollableContentClassName,N=S.isOpen,L=S.isVisible,B=S.hasBeenOpened,j=S.modalRectangleTop,F=S.theme,V=S.topOffsetFixed,K=S.isModeless,W=S.layerClassName,X=S.isDefaultDragHandle,J=S.windowInnerHeight,oe=F.palette,pe=F.effects,me=F.fonts,xe=getGlobalClassNames(globalClassNames,F);return{root:[xe.root,me.medium,{backgroundColor:"transparent",position:"fixed",height:"100%",width:"100%",display:"flex",alignItems:"center",justifyContent:"center",opacity:0,pointerEvents:"none",transition:"opacity ".concat(animationDuration)},V&&typeof j=="number"&&B&&{alignItems:"flex-start"},N&&xe.isOpen,L&&{opacity:1},L&&!K&&{pointerEvents:"auto"},R],main:[xe.main,{boxShadow:pe.elevation64,borderRadius:pe.roundedCorner2,backgroundColor:oe.white,boxSizing:"border-box",position:"relative",textAlign:"left",outline:"3px solid transparent",maxHeight:"calc(100% - 32px)",maxWidth:"calc(100% - 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Ie?{root:[je.root,{flexWrap:"wrap",maxWidth:Xe,maxHeight:Je,width:"auto",overflow:"visible",height:"100%"},Te&&(I={},I[ge?"justifyContent":"alignItems"]=nameMap[Te]||Te,I),ke&&(N={},N[ge?"alignItems":"justifyContent"]=nameMap[ke]||ke,N),pe,{display:"flex"},ge&&{height:Be?"100%":"auto"}],inner:[je.inner,(L={display:"flex",flexWrap:"wrap",marginLeft:dt,marginRight:dt,marginTop:gt,marginBottom:gt,overflow:"visible",boxSizing:"border-box",padding:parsePadding(ot,C),width:et.value===0?"100%":"calc(100% + ".concat(et.value).concat(et.unit,")"),maxWidth:"100vw"},L[lt]=__assign$4({margin:"".concat(.5*Ue.value).concat(Ue.unit," ").concat(.5*et.value).concat(et.unit)},Qe),L),me&&ht,Te&&(B={},B[ge?"justifyContent":"alignItems"]=nameMap[Te]||Te,B),ke&&(j={},j[ge?"alignItems":"justifyContent"]=nameMap[ke]||ke,j),ge&&(F={flexDirection:we?"row-reverse":"row",height:Ue.value===0?"100%":"calc(100% + ".concat(Ue.value).concat(Ue.unit,")")},F[lt]={maxWidth:et.value===0?"100%":"calc(100% - 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C=S.as,R=C===void 0?"div":C,O=S.disableShrink,I=O===void 0?!1:O,N=S.doNotRenderFalsyValues,L=N===void 0?!1:N,B=S.enableScopedSelectors,j=B===void 0?!1:B,F=S.wrap,V=__rest$1(S,["as","disableShrink","doNotRenderFalsyValues","enableScopedSelectors","wrap"]);warnDeprecations("Stack",S,{gap:"tokens.childrenGap",maxHeight:"tokens.maxHeight",maxWidth:"tokens.maxWidth",padding:"tokens.padding"});var K=_processStackChildren(S.children,{disableShrink:I,enableScopedSelectors:j,doNotRenderFalsyValues:L}),W=getNativeProps(V,htmlElementProperties),X=getSlots(S,{root:R,inner:"div"});return F?withSlots(X.root,__assign$4({},W),withSlots(X.inner,null,K)):withSlots(X.root,__assign$4({},W),K)};function _processStackChildren(S,C){var R=C.disableShrink,O=C.enableScopedSelectors,I=C.doNotRenderFalsyValues,N=reactExports.Children.toArray(S);return N=reactExports.Children.map(N,function(L){if(!L)return I?null:L;if(!reactExports.isValidElement(L))return L;if(L.type===reactExports.Fragment)return 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- * @website https://github.com/cssinjs/jss
- * @license MIT
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Array.isArray(S)?S.reduce((O,I)=>O|I,R):R|S},toggle=S=>C=>(C||0)^S,pick=S=>C=>(C||0)&S,remove$1=S=>C=>{const R=C||0;return Array.isArray(S)?S.reduce((O,I)=>O&~I,R):R&~S},replace$3=S=>()=>S;var bitset=Object.freeze({__proto__:null,has:has$3,add:add$1,toggle,pick,remove:remove$1,replace:replace$3});const EMPTY_STATUS=0,SELECTED_STATUS=1,ACTIVATED_STATUS=2;var GraphEdgeStatus;(function(S){S[S.Default=EMPTY_STATUS]="Default",S[S.Selected=SELECTED_STATUS]="Selected",S[S.Activated=ACTIVATED_STATUS]="Activated",S[S.ConnectedToSelected=4]="ConnectedToSelected",S[S.UnconnectedToSelected=8]="UnconnectedToSelected",S[S.Editing=16]="Editing"})(GraphEdgeStatus||(GraphEdgeStatus={}));var GraphNodeStatus;(function(S){S[S.Default=EMPTY_STATUS]="Default",S[S.Selected=SELECTED_STATUS]="Selected",S[S.Activated=ACTIVATED_STATUS]="Activated",S[S.Editing=4]="Editing",S[S.ConnectedToSelected=8]="ConnectedToSelected",S[S.UnconnectedToSelected=16]="UnconnectedToSelected"})(GraphNodeStatus||(GraphNodeStatus={}));var GraphPortStatus;(function(S){S[S.Default=EMPTY_STATUS]="Default",S[S.Selected=SELECTED_STATUS]="Selected",S[S.Activated=ACTIVATED_STATUS]="Activated",S[S.Connecting=4]="Connecting",S[S.ConnectingAsTarget=8]="ConnectingAsTarget"})(GraphPortStatus||(GraphPortStatus={}));const updateStatus=S=>C=>{var R;const O=S((R=C.status)!==null&&R!==void 0?R:0);return O===C.status?C:Object.assign(Object.assign({},C),{status:O})};function isNodeEditing(S){return has$3(GraphNodeStatus.Editing)(S.status)}function isSelected(S){return has$3(SELECTED_STATUS)(S.status)}function notSelected(S){return!isSelected(S)}const resetConnectStatus=S=>C=>(C||0)&GraphNodeStatus.Activated|S,isDev$2=define_process_env_default$q.NODE_ENV!=="production";class Debug{static log(C){isDev$2&&console.log(C)}static warn(C){isDev$2&&console.warn(C)}static error(...C){console.error(...C)}static never(C,R){throw new Error(R??`${C} is unexpected`)}}const getNodeConfig=(S,C)=>{const R=C.getNodeConfig(S);if(!R){Debug.warn(`invalid node ${JSON.stringify(S)}`);return}return R};function getRectWidth(S,C){var R;const O=(R=S==null?void 0:S.getMinWidth(C))!==null&&R!==void 0?R:0;return C.width&&C.width>=O?C.width:O}function getRectHeight(S,C){var R;const O=(R=S==null?void 0:S.getMinHeight(C))!==null&&R!==void 0?R:0;return C.height&&C.height>=O?C.height:O}function getNodeSize(S,C){const R=getNodeConfig(S,C),O=getRectWidth(R,S);return{height:getRectHeight(R,S),width:O}}function getGroupRect(S,C,R){var O,I,N,L,B,j,F,V;const K=new Set(S.nodeIds),W=Array.from(C.values()).filter(Te=>K.has(Te.id)),X=Math.min(...W.map(Te=>Te.x)),J=Math.max(...W.map(Te=>Te.x+getNodeSize(Te,R).width)),oe=Math.min(...W.map(Te=>Te.y)),pe=Math.max(...W.map(Te=>Te.y+getNodeSize(Te,R).height)),me=X-((I=(O=S.padding)===null||O===void 0?void 0:O.left)!==null&&I!==void 0?I:0),xe=oe-((L=(N=S.padding)===null||N===void 0?void 0:N.top)!==null&&L!==void 0?L:0),Ae=pe-xe+((j=(B=S.padding)===null||B===void 0?void 0:B.bottom)!==null&&j!==void 0?j:0),ge=J-me+((V=(F=S.padding)===null||F===void 0?void 0:F.left)!==null&&V!==void 0?V:0);return{x:me,y:xe,width:ge,height:Ae}}var MouseEventButton;(function(S){S[S.Primary=0]="Primary",S[S.Auxiliary=1]="Auxiliary",S[S.Secondary=2]="Secondary",S[S.Fourth=4]="Fourth",S[S.Fifth=5]="Fifth"})(MouseEventButton||(MouseEventButton={}));var MouseEventButtons;(function(S){S[S.None=0]="None",S[S.Left=1]="Left",S[S.Right=2]="Right",S[S.Middle=4]="Middle"})(MouseEventButtons||(MouseEventButtons={}));const DEFAULT_AUTO_ALIGN_THRESHOLD=50,COPIED_NODE_SPACING=50,NODE_MIN_VISIBLE_LENGTH=5,NODE_MAX_VISIBLE_LENGTH=500,defaultColors={controlPointColor:"#333333",primaryColor:"#0078D4",defaultColor:"#CCCCCC",borderColor:"#B3B0AD",defaultBorderColor:"#FFFFFF",unConnectableBgColor:"#E1DFDD",defaultBackgroundColor:"#FFFFFF",portStroke:"#ccc",portFill:"#fff",connectedPortColor:"gray",nodeActivateFill:"#ffffff",nodeActivateStroke:"#0078D4",nodeFill:"#ffffff",nodeStroke:"#cccccc",contextMenuBackground:"#FFFFFF",contextMenuBorder:"#E1DFDD",contextMenuHoverBackground:"rgba(0, 120, 212, 0.05)",fontColor:"#000000",canvasBackground:"#EDEDED",minimapBackground:"#EDEDED",edgeColor:"#ccc",edgeColorSelected:"#015cda",minimapShadow:"#000000",outlineStyle:"none",focusOutlineColor:"#000000",dummyNodeStroke:"#015cda",inputFocusBorderAlt:"#0078d4",buttonBorder:"#797775",scrollbarColor:"#c8c8c8"},RectComponent=S=>{const{style:C,node:R,width:O,height:I,textY:N}=S,L=R.data&&R.data.comment?R.data.comment:"",B=isNodeEditing(R);return jsxRuntimeExports.jsxs("g",{children:[jsxRuntimeExports.jsx("rect",{width:O,height:I,x:R.x,y:R.y,style:C,rx:C.borderRadius}),jsxRuntimeExports.jsx("text",Object.assign({x:R.x,y:N,fontSize:12},{children:R.name})),R.data&&R.data.comment&&!B&&jsxRuntimeExports.jsx("text",Object.assign({x:R.x,y:N+20,fontSize:12,className:`comment-${R.id}`},{children:R.data.comment})),B&&jsxRuntimeExports.jsx("foreignObject",Object.assign({x:R.x,y:N,height:I/2.5,width:O-5},{children:jsxRuntimeExports.jsx("input",{value:L,placeholder:"Input your comment here"})}))]},R.id)},rect={getMinHeight(){return 150},getMinWidth(){return 150},render(S){const C=S.model,R=getRectWidth(rect,C),O=getRectHeight(rect,C),I=has$3(GraphNodeStatus.Selected|GraphNodeStatus.Activated)(C.status)?{fill:defaultColors.nodeActivateFill,stroke:defaultColors.nodeActivateStroke}:{fill:defaultColors.nodeFill,fillOpacity:.1,stroke:defaultColors.nodeStroke,borderRadius:"5"},N=C.y+O/3;return jsxRuntimeExports.jsx(RectComponent,{style:I,node:C,width:R,height:O,textY:N})}},getCurvePathD=(S,C,R,O)=>`M${S},${R}C${S},${R-getControlPointDistance(R,O)},${C},${O+5+getControlPointDistance(R,O)},${C},${O+5}`,getControlPointDistance=(S,C)=>Math.min(5*15,Math.max(5*3,Math.abs((S-(C+5))/2))),line$1={render(S){const C=S.model,R={cursor:"crosshair",stroke:has$3(GraphEdgeStatus.Selected)(C.status)?defaultColors.edgeColorSelected:defaultColors.edgeColor,strokeWidth:"2"};return jsxRuntimeExports.jsx("path",{d:getCurvePathD(S.x2,S.x1,S.y2,S.y1),fill:"none",style:R,id:`edge${C.id}`},C.id)}};class DefaultPort{getStyle(C,R,O,I,N){const L=defaultColors.portStroke;let B=defaultColors.portFill;return(I||N)&&(B=defaultColors.connectedPortColor),has$3(GraphPortStatus.Activated)(C.status)&&(B=defaultColors.primaryColor),{stroke:L,fill:B}}getIsConnectable(){return!0}render(C){const{model:R,data:O,parentNode:I}=C,N=O.isPortConnectedAsSource(I.id,R.id),L=O.isPortConnectedAsTarget(I.id,R.id),B=this.getStyle(R,I,O,N,L),{x:j,y:F}=C,V=`${j-5} ${F}, ${j+7} ${F}, ${j+1} ${F+8}`;return L?jsxRuntimeExports.jsx("polygon",{points:V,style:B}):jsxRuntimeExports.jsx("circle",{r:5,cx:j,cy:F,style:B},`${C.parentNode.id}-${C.model.id}`)}}const defaultPort=new DefaultPort;class DefaultClipboard{constructor(C){this.storage=C}write(C){this.storage.setItem("graph-clipboard",JSON.stringify({nodes:C.nodes.map(R=>Object.assign(Object.assign({},R),{data:{}})),edges:C.edges.map(R=>Object.assign(Object.assign({},R),{data:{}}))}))}read(){const C=this.storage.getItem("graph-clipboard");if(!C)return null;try{const R=JSON.parse(C),O=new Map;return{nodes:R.nodes.map(I=>{const N=v4();return O.set(I.id,N),Object.assign(Object.assign({},I),{x:I.x+COPIED_NODE_SPACING,y:I.y+COPIED_NODE_SPACING,id:N})}),edges:R.edges.map(I=>Object.assign(Object.assign({},I),{id:v4(),source:O.get(I.source)||"",target:O.get(I.target)||""}))}}catch{return null}}}class DefaultStorage{get length(){return this.items.size}constructor(){this.key=()=>"DefaultLocalStorage",this.items=new Map}clear(){this.items=new Map}setItem(C,R){this.items.set(C,R)}getItem(C){return this.items.has(C)?this.items.get(C):null}removeItem(C){this.items.delete(C)}}class GraphConfigBuilder{constructor(){const C=new DefaultStorage,R=new DefaultClipboard(C);this.draft={getNodeConfig:()=>rect,getEdgeConfig:()=>line$1,getPortConfig:()=>defaultPort,getGroupConfig:()=>{},getClipboard:()=>R}}static default(){return new GraphConfigBuilder}static from(C){return new GraphConfigBuilder().registerNode(C.getNodeConfig.bind(C)).registerEdge(C.getEdgeConfig.bind(C)).registerPort(C.getPortConfig.bind(C)).registerGroup(C.getGroupConfig.bind(C)).registerClipboard(C.getClipboard.bind(C))}registerNode(C){return this.draft.getNodeConfig=C,this}registerEdge(C){return this.draft.getEdgeConfig=C,this}registerPort(C){return this.draft.getPortConfig=C,this}registerGroup(C){return this.draft.getGroupConfig=C,this}registerClipboard(C){return this.draft.getClipboard=C,this}build(){return this.draft}}const GraphConfigContext=reactExports.createContext(GraphConfigBuilder.default().build());var MenuType;(function(S){S.Node="node",S.Edge="edge",S.Port="port",S.Canvas="canvas",S.Multi="multi"})(MenuType||(MenuType={}));class ContextMenuConfig{constructor(){this.contextMenu=new Map}registerContextMenu(C){this.contextMenuProps=Object.assign({},C)}registerMenu(C,R){this.contextMenu.set(R,C)}getMenu(C){if(this.contextMenuProps&&this.contextMenu.has(C)){const{className:R,styles:O}=this.contextMenuProps;return reactExports.createElement("div",{className:R,style:O},this.contextMenu.get(C))}return null}}const ContextMenuConfigContext=reactExports.createContext(new ContextMenuConfig),emptySelectBoxPosition=()=>({startX:0,startY:0,height:0,width:0}),SelectBox=S=>{const{selectBoxPosition:C,style:R}=S,O=`m${C.startX} ${C.startY} v ${C.height} h ${C.width} v${-C.height} h ${-C.width}`,I=R??{fill:"none",stroke:defaultColors.defaultColor};return jsxRuntimeExports.jsx("path",{style:I,d:O})};var GraphFeatures;(function(S){S.NodeDraggable="nodeDraggable",S.NodeResizable="nodeResizable",S.ClickNodeToSelect="clickNodeToSelect",S.PanCanvas="panCanvas",S.MultipleSelect="multipleSelect",S.LassoSelect="lassoSelect",S.Delete="delete",S.AddNewNodes="addNewNodes",S.AddNewEdges="addNewEdges",S.AddNewPorts="addNewPorts",S.AutoFit="autoFit",S.CanvasHorizontalScrollable="canvasHorizontalScrollable",S.CanvasVerticalScrollable="canvasVerticalScrollable",S.NodeHoverView="nodeHoverView",S.PortHoverView="portHoverView",S.AddEdgesByKeyboard="addEdgesByKeyboard",S.A11yFeatures="a11YFeatures",S.EditNode="editNode",S.AutoAlign="autoAlign",S.UndoStack="undoStack",S.CtrlKeyZoom="ctrlKeyZoom",S.LimitBoundary="limitBoundary",S.EditEdge="editEdge"})(GraphFeatures||(GraphFeatures={})),GraphFeatures.NodeDraggable,GraphFeatures.NodeResizable,GraphFeatures.ClickNodeToSelect,GraphFeatures.PanCanvas,GraphFeatures.MultipleSelect,GraphFeatures.LassoSelect,GraphFeatures.Delete,GraphFeatures.AddNewNodes,GraphFeatures.AddNewEdges,GraphFeatures.AddNewPorts,GraphFeatures.CanvasHorizontalScrollable,GraphFeatures.CanvasVerticalScrollable,GraphFeatures.NodeHoverView,GraphFeatures.PortHoverView,GraphFeatures.AddEdgesByKeyboard,GraphFeatures.A11yFeatures,GraphFeatures.AutoFit,GraphFeatures.EditNode,GraphFeatures.AutoAlign,GraphFeatures.UndoStack,GraphFeatures.CtrlKeyZoom,GraphFeatures.LimitBoundary,GraphFeatures.EditEdge;const defaultFeatures=new Set([GraphFeatures.NodeDraggable,GraphFeatures.NodeResizable,GraphFeatures.ClickNodeToSelect,GraphFeatures.PanCanvas,GraphFeatures.MultipleSelect,GraphFeatures.Delete,GraphFeatures.AddNewNodes,GraphFeatures.AddNewEdges,GraphFeatures.AddNewPorts,GraphFeatures.CanvasHorizontalScrollable,GraphFeatures.CanvasVerticalScrollable,GraphFeatures.NodeHoverView,GraphFeatures.PortHoverView,GraphFeatures.AddEdgesByKeyboard,GraphFeatures.A11yFeatures,GraphFeatures.EditNode,GraphFeatures.AutoAlign,GraphFeatures.UndoStack,GraphFeatures.CtrlKeyZoom,GraphFeatures.LimitBoundary]),dataReadonlyMode=new Set([GraphFeatures.NodeDraggable,GraphFeatures.NodeResizable,GraphFeatures.ClickNodeToSelect,GraphFeatures.PanCanvas,GraphFeatures.MultipleSelect,GraphFeatures.CanvasHorizontalScrollable,GraphFeatures.CanvasVerticalScrollable,GraphFeatures.NodeHoverView,GraphFeatures.PortHoverView,GraphFeatures.A11yFeatures,GraphFeatures.CtrlKeyZoom,GraphFeatures.LimitBoundary]);GraphFeatures.ClickNodeToSelect,GraphFeatures.CanvasHorizontalScrollable,GraphFeatures.CanvasVerticalScrollable,GraphFeatures.NodeHoverView,GraphFeatures.PortHoverView,GraphFeatures.A11yFeatures,GraphFeatures.LassoSelect,GraphFeatures.LimitBoundary;const previewMode=new Set([GraphFeatures.NodeHoverView,GraphFeatures.PortHoverView,GraphFeatures.AutoFit]),emptyDummyNodes=()=>({dx:0,dy:0,dWidth:0,dHeight:0,alignedDX:void 0,alignedDY:void 0,nodes:[],isVisible:!1}),is$1=Object.is;let MapIterator$1=class{constructor(C,R){this.upstream=C,this.f=R}[Symbol.iterator](){return this}next(){const C=this.upstream.next();return C.done?C:{done:!1,value:this.f(C.value)}}};var NodeType$1;(function(S){S[S.Bitmap=0]="Bitmap",S[S.Collision=1]="Collision"})(NodeType$1||(NodeType$1={}));const HASH_CODE_LENGTH=30,BIT_PARTITION_SIZE=5,FULL_MASK=1073741823;function bitPosFrom(S){return 1<<S}function indexFrom(S,C,R){return S===FULL_MASK?C:bitCount(S&R-1)}function maskFrom(S,C){return S>>>C&31}function bitCount(S){return S|=0,S-=S>>>1&1431655765,S=(S&858993459)+(S>>>2&858993459),S=S+(S>>>4)&252645135,S+=S>>>8,S+=S>>>16,S&127}let BitmapIndexedNode$1=class _m{get valueCount(){return this.values.length}get nodeCount(){return this.children.length}constructor(C,R,O,I,N,L,B,j){this.type=NodeType$1.Bitmap,this.owner=C,this.dataMap=R,this.nodeMap=O,this.keys=I,this.values=N,this.children=L,this.hashes=B,this.size=j}static empty(C){return new _m(C,0,0,[],[],[],[],0)}getKey(C){return this.keys[C]}getValue(C){return this.values[C]}getHash(C){return this.hashes[C]}getNode(C){return this.children[C]}contains(C,R,O){const I=maskFrom(R,O),N=bitPosFrom(I),{dataMap:L,nodeMap:B}=this;if(L&N){const j=indexFrom(L,I,N),F=this.getKey(j);return is$1(F,C)}else if(B&N){const j=indexFrom(B,I,N);return this.getNode(j).contains(C,R,O+BIT_PARTITION_SIZE)}return!1}get(C,R,O){const I=maskFrom(R,O),N=bitPosFrom(I),{dataMap:L,nodeMap:B}=this;if(L&N){const j=indexFrom(L,I,N),F=this.getKey(j);return is$1(F,C)?this.getValue(j):void 0}else if(B&N){const j=indexFrom(B,I,N);return this.getNode(j).get(C,R,O+BIT_PARTITION_SIZE)}}insert(C,R,O,I,N){const L=maskFrom(I,N),B=bitPosFrom(L),{dataMap:j,nodeMap:F}=this;if(j&B){const V=indexFrom(j,L,B),K=this.getKey(V),W=this.getValue(V),X=this.getHash(V);if(X===I&&is$1(K,R))return is$1(W,O)?this:this.setValue(C,O,V);{const J=mergeTwoKeyValPairs(C,K,W,X,R,O,I,N+BIT_PARTITION_SIZE);return this.migrateInlineToNode(C,B,J)}}else if(F&B){const V=indexFrom(F,L,B),W=this.getNode(V).insert(C,R,O,I,N+BIT_PARTITION_SIZE);return this.setNode(C,1,W,B)}return this.insertValue(C,B,R,I,O)}update(C,R,O,I,N){const L=maskFrom(I,N),B=bitPosFrom(L),{dataMap:j,nodeMap:F}=this;if(j&B){const V=indexFrom(j,L,B),K=this.getKey(V);if(this.getHash(V)===I&&is$1(K,R)){const X=this.getValue(V),J=O(X);return is$1(X,J)?this:this.setValue(C,J,V)}}else if(F&B){const V=indexFrom(F,L,B),K=this.getNode(V),W=K.update(C,R,O,I,N+BIT_PARTITION_SIZE);return W===K?this:this.setNode(C,0,W,B)}return this}remove(C,R,O,I){const N=maskFrom(O,I),L=bitPosFrom(N);if(this.dataMap&L){const B=indexFrom(this.dataMap,N,L),j=this.getKey(B);return is$1(j,R)?this.removeValue(C,L):void 0}else if(this.nodeMap&L){const B=indexFrom(this.nodeMap,N,L),j=this.getNode(B),F=j.remove(C,R,O,I+BIT_PARTITION_SIZE);if(F===void 0)return;const[V,K]=F;return V.size===1?this.size===j.size?[new _m(C,L,0,[V.getKey(0)],[V.getValue(0)],[],[V.getHash(0)],1),K]:[this.migrateNodeToInline(C,L,V),K]:[this.setNode(C,-1,V,L),K]}}toOwned(C){return this.owner===C?this:new _m(C,this.dataMap,this.nodeMap,this.keys.slice(),this.values.slice(),this.children.slice(),this.hashes.slice(),this.size)}iter(){return new BitmapIndexedNodeIterator(this)}map(C,R){const O=this.valueCount,I=[],N=[],L=[];let B=!0;for(let j=0;j<O;j+=1){const F=this.getKey(j),V=this.getValue(j),K=R(V,F);B=B&&is$1(V,K),I.push(F),N.push(K)}for(let j=0;j<this.children.length;j+=1){const F=this.getNode(j),V=F.map(C,R);B=B&&V===F,L.push(V)}return B?this:new _m(C,this.dataMap,this.nodeMap,I,N,L,this.hashes,this.size)}forEach(C){for(let R=0;R<this.values.length;R+=1){const O=this.getKey(R),I=this.getValue(R);C(I,O)}for(let R=0;R<this.children.length;R+=1)this.getNode(R).forEach(C)}find(C){for(let R=0;R<this.values.length;R+=1){const O=this.getValue(R);if(C(O))return O}for(let R=0;R<this.children.length;R+=1){const I=this.getNode(R).find(C);if(I)return I}}dataIndex(C){return bitCount(this.dataMap&C-1)}nodeIndex(C){return bitCount(this.nodeMap&C-1)}setValue(C,R,O){const I=this.toOwned(C);return I.values[O]=R,I}insertValue(C,R,O,I,N){const L=this.dataIndex(R),B=this.toOwned(C);return B.size+=1,B.dataMap|=R,B.keys.splice(L,0,O),B.values.splice(L,0,N),B.hashes.splice(L,0,I),B}migrateInlineToNode(C,R,O){const I=this.dataIndex(R),N=this.nodeIndex(R),L=this.toOwned(C);return L.dataMap^=R,L.nodeMap|=R,L.keys.splice(I,1),L.values.splice(I,1),L.children.splice(N,0,O),L.hashes.splice(I,1),L.size+=1,L}migrateNodeToInline(C,R,O){const I=this.nodeIndex(R),N=this.dataIndex(R),L=O.getKey(0),B=O.getValue(0),j=O.getHash(0),F=this.toOwned(C);return F.dataMap=F.dataMap|R,F.nodeMap=F.nodeMap^R,F.children.splice(I,1),F.keys.splice(N,0,L),F.values.splice(N,0,B),F.size-=1,F.hashes.splice(N,0,j),F}setNode(C,R,O,I){const N=this.nodeIndex(I),L=this.toOwned(C);return L.children[N]=O,L.size=L.size+R,L}removeValue(C,R){const O=this.dataIndex(R),I=this.getValue(O),N=this.toOwned(C);return N.dataMap^=R,N.keys.splice(O,1),N.values.splice(O,1),N.hashes.splice(O,1),N.size-=1,[N,I]}};function mergeTwoKeyValPairs(S,C,R,O,I,N,L,B){if(B>=HASH_CODE_LENGTH)return new HashCollisionNode$1(S,O,[C,I],[R,N]);{const j=maskFrom(O,B),F=maskFrom(L,B);if(j!==F){const V=bitPosFrom(j)|bitPosFrom(F);return j<F?new BitmapIndexedNode$1(S,V,0,[C,I],[R,N],[],[O,L],2):new BitmapIndexedNode$1(S,V,0,[I,C],[N,R],[],[L,O],2)}else{const V=bitPosFrom(j),K=mergeTwoKeyValPairs(S,C,R,O,I,N,L,B+BIT_PARTITION_SIZE);return new BitmapIndexedNode$1(S,0,V,[],[],[K],[],K.size)}}}let HashCollisionNode$1=class s0{get size(){return this.keys.length}constructor(C,R,O,I){this.type=NodeType$1.Collision,this.owner=C,this.hash=R,this.keys=O,this.values=I}toOwned(C){return this.owner===C?this:new s0(C,this.hash,this.keys.slice(),this.values.slice())}contains(C){return this.keys.includes(C)}get(C){const R=this.keys.findIndex(O=>is$1(O,C));return R>=0?this.values[R]:void 0}insert(C,R,O){const I=this.keys.findIndex(N=>is$1(N,R));if(I>=0){const N=this.values[I];if(is$1(N,O))return this;const L=this.toOwned(C);return L.values[I]=O,L}else{const N=this.toOwned(C);return N.keys.push(R),N.values.push(O),N}}update(C,R,O){const I=this.keys.findIndex(N=>is$1(N,R));if(I>=0){const N=this.values[I],L=O(N);if(is$1(N,L))return this;const B=this.toOwned(C);return B.values[I]=L,B}return this}remove(C,R){const O=this.keys.findIndex(N=>is$1(N,R));if(O===-1)return;const I=this.getValue(O);return[new s0(C,this.hash,this.keys.filter((N,L)=>L!==O),this.values.filter((N,L)=>L!==O)),I]}getKey(C){return this.keys[C]}getValue(C){return this.values[C]}getHash(){return this.hash}iter(){return new HashCollisionNodeIterator(this)}map(C,R){const O=this.size,I=[];let N=!1;for(let L=0;L<O;L+=1){const B=this.getKey(L),j=this.getValue(L),F=R(j,B);I.push(F),N=is$1(j,F)}return N?new s0(C,this.hash,this.keys,I):this}forEach(C){const R=this.size;for(let O=0;O<R;O+=1){const I=this.getKey(O),N=this.getValue(O);C(N,I)}}find(C){return this.values.find(C)}};class BitmapIndexedNodeIterator{constructor(C){this.index=0,this.delegate=null,this.done=!1,this.node=C,this.valueCount=C.valueCount,this.nodeCount=C.nodeCount,this.size=this.valueCount+this.nodeCount}[Symbol.iterator](){return this.clone()}next(){if(this.done)return{done:!0,value:void 0};if(this.index<this.valueCount){const C=this.node.getKey(this.index),R=this.node.getValue(this.index);return this.index+=1,{done:!1,value:[C,R]}}if(this.index<this.size){this.delegate===null&&(this.delegate=this.node.getNode(this.index-this.valueCount).iter());const C=this.delegate.next();return C.done?(this.index+=1,this.delegate=null,this.next()):C}return this.done=!0,{done:!0,value:void 0}}clone(){const C=new BitmapIndexedNodeIterator(this.node);return C.index=this.index,C.delegate=this.delegate,C.done=this.done,C}}class HashCollisionNodeIterator{constructor(C){this.index=0,this.node=C}[Symbol.iterator](){return this.clone()}next(){if(this.index>=this.node.size)return{done:!0,value:void 0};const C=this.node.getKey(this.index),R=this.node.getValue(this.index);return this.index+=1,{done:!1,value:[C,R]}}clone(){const C=new HashCollisionNodeIterator(this.node);return C.index=this.index,C}}function hashing(S){if(S===null)return 1108378658;switch(typeof S){case"boolean":return S?839943201:839943200;case"number":return hashNumber$1(S);case"string":return hashString$1(S);case"object":case"function":case"symbol":throw new Error("Using object, function and symbol as hash map key is not supported");case"undefined":return 839943203;default:return hashString$1(String(S))}}function hashString$1(S){let C=0;for(let R=0;R<S.length;R++)C=C*31+S.charCodeAt(R)|0;return smi$1(C)}function hashNumber$1(S){if(!isFinite(S))return 0;let C=S|0;for(C!==S&&(C^=S*4294967295);S>4294967295;)S/=4294967295,C^=S;return smi$1(C)}function smi$1(S){return S&1073741823}class Uid{constructor(){this.id=0}take(){return this.id+=1,this.id}peek(){return this.id+1}}const uid$1$1=new Uid;class HashMap{get size(){return this.root.size}constructor(C){this.id=uid$1$1.take(),this.root=C}static empty(){return HashMapBuilder.empty().finish()}static from(C){return HashMapBuilder.from(C).finish()}get(C){const R=hashing(C);return this.root.get(C,R,0)}has(C){const R=hashing(C);return this.root.contains(C,R,0)}set(C,R){return this.withRoot(this.root.insert(uid$1$1.peek(),C,R,hashing(C),0))}update(C,R){return this.withRoot(this.root.update(uid$1$1.peek(),C,R,hashing(C),0))}delete(C){const R=hashing(C),O=uid$1$1.peek(),I=this.root.remove(O,C,R,0);return I===void 0?this:new HashMap(I[0])}clone(){return new HashMap(this.root)}[Symbol.iterator](){return this.entries()}entries(){return this.root.iter()}values(){return new MapIterator$1(this.entries(),([,C])=>C)}mutate(){return new HashMapBuilder(this.root)}map(C){return new HashMap(this.root.map(uid$1$1.peek(),C))}filter(C){const R=this.mutate();return this.forEach((O,I)=>{C(O,I)||R.delete(I)}),R.finish()}forEach(C){this.root.forEach(C)}find(C){return this.root.find(C)}withRoot(C){return C===this.root?this:new HashMap(C)}}class HashMapBuilder{constructor(C){this.id=uid$1$1.take(),this.root=C}static empty(){const C=uid$1$1.peek(),R=BitmapIndexedNode$1.empty(C);return new HashMapBuilder(R)}static from(C){if(Array.isArray(C))return HashMapBuilder.fromArray(C);const R=C[Symbol.iterator](),O=HashMapBuilder.empty();let I=R.next();for(;!I.done;){const[N,L]=I.value;O.set(N,L),I=R.next()}return O}static fromArray(C){const R=HashMapBuilder.empty();for(let O=0;O<C.length;O+=1){const[I,N]=C[O];R.set(I,N)}return R}get(C){const R=hashing(C);return this.root.get(C,R,0)}has(C){const R=hashing(C);return this.root.contains(C,R,0)}set(C,R){return this.root=this.root.insert(this.id,C,R,hashing(C),0),this}update(C,R){const O=hashing(C);return this.root=this.root.update(this.id,C,R,O,0),this}delete(C){const R=hashing(C),O=this.root.remove(this.id,C,R,0);return O!==void 0&&(this.root=O[0]),this}finish(){return new HashMap(this.root)}}var NodeType;(function(S){S[S.Internal=0]="Internal",S[S.Leaf=1]="Leaf"})(NodeType||(NodeType={}));const MAX_SIZE=31,MIN_SIZE$1=15,HALF_NODE_SPLIT=7;function binaryFind(S,C){let R=0,O=S.length;for(;;){if(R+1===O)return S[R]>=C?R:O;const I=R+O>>>1;if(S[I]===C)return I;C<S[I]?O=I:R=I}}class InternalNode{get selfSize(){return this.keys.length}constructor(C,R,O,I,N){this.type=NodeType.Internal,this.owner=C,this.keys=R,this.values=O,this.children=I,this.size=N}iter(){return new BTreeIterator(this)}toOwned(C){return this.owner===C?this:new InternalNode(C,this.keys.slice(),this.values.slice(),this.children.slice(),this.size)}getKey(C){return this.keys[C]}getValue(C){return this.values[C]}getChild(C){return this.children[C]}get(C){const R=this.selfSize,O=binaryFind(this.keys,C);return O!==R&&this.getKey(O)===C?this.getValue(O):this.getChild(O).get(C)}contains(C){const R=this.selfSize,O=binaryFind(this.keys,C);return O!==R&&this.getKey(O)===C?!0:this.getChild(O).contains(C)}insert(C,R,O){const I=this.selfSize,N=binaryFind(this.keys,R),L=this.getKey(N),B=this.getValue(N);if(L===R){if(is$1(B,O))return[this];const j=this.toOwned(C);return j.values[N]=O,[j]}else{const j=this.getChild(N),F=j.insert(C,R,O);if(F.length===1){const V=F[0];if(V===j)return[this];const K=this.toOwned(C);return K.children[N]=V,[K]}else{if(I===MAX_SIZE)return this.updateWithSplit(C,F[0],F[1],F[2],F[3],N);{const V=this.toOwned(C);return V.keys.splice(N,0,F[2]),V.values.splice(N,0,F[3]),V.children.splice(N,1,F[0],F[1]),V.size+=1,[V]}}}}update(C,R,O){const I=binaryFind(this.keys,R),N=this.getKey(I),L=this.getValue(I);if(N===R){const B=O(L);if(is$1(L,B))return this;const j=this.toOwned(C);return j.values[I]=B,j}else{const B=this.getChild(I),j=B.update(C,R,O);if(j===B)return this;const F=this.toOwned(C);return F.children[I]=j,F}}remove(C,R){const O=binaryFind(this.keys,R),I=this.selfSize,N=this.getChild(O),L=N.size,B=this.getKey(O);if(B===R){const[j,F,V]=N.removeMostRight(C),K=this.toOwned(C);return K.size-=1,K.keys[O]=j,K.values[O]=F,K.children[O]=V,K.balanceChild(C,V,j,F,O)}else{const j=N.remove(C,R);if(j.size===L)return this;const F=this.toOwned(C);if(F.size-=1,F.children[O]=j,j.selfSize>=MIN_SIZE$1)return F;if(O===I)return F.balanceTail(j),F;const V=this.getValue(O);return F.balanceChild(C,j,B,V,O)}}removeMostRight(C){const R=this.selfSize,[O,I,N]=this.getChild(R).removeMostRight(C),L=this.toOwned(C);return L.size-=1,L.children[R]=N,N.selfSize<MIN_SIZE$1&&L.balanceTail(N),[O,I,L]}map(C,R){const O=[],I=[];let N=!0;for(let L=0;L<this.keys.length;L+=1){const B=this.getKey(L),j=this.getValue(L),F=R(j,B);O.push(F),N=N&&is$1(j,F)}for(let L=0;L<this.children.length;L+=1){const B=this.getChild(L),j=B.map(C,R);I.push(j),N=N&&B===j}return N?this:new InternalNode(C,this.keys,O,I,this.size)}forEach(C){for(let R=0;R<this.keys.length;R+=1){const O=this.getKey(R),I=this.getValue(R);C(I,O)}for(let R=0;R<this.children.length;R+=1)this.getChild(R).forEach(C)}find(C){for(let R=0;R<this.keys.length;R+=1){const O=this.getValue(R);if(C(O))return O}for(let R=0;R<this.children.length;R+=1){const I=this.getChild(R).find(C);if(I)return I}}balanceChild(C,R,O,I,N){if(N===0)return this.balanceHead(R),this;const L=R.type===NodeType.Internal,B=this.getChild(N-1),j=this.getChild(N+1);if(B.selfSize>MIN_SIZE$1)this.rotateRight(R,B,N,L);else if(j.selfSize>MIN_SIZE$1)this.rotateLeft(R,j,N,L);else{const F=B.toOwned(C),V=j.toOwned(C),K=R.getKey(HALF_NODE_SPLIT),W=R.getValue(HALF_NODE_SPLIT);F.keys.push(this.getKey(N-1)),F.values.push(this.getValue(N-1)),F.keys.push(...R.keys.slice(0,HALF_NODE_SPLIT)),F.values.push(...R.values.slice(0,HALF_NODE_SPLIT)),V.keys.unshift(O),V.values.unshift(I),V.keys.unshift(...R.keys.slice(HALF_NODE_SPLIT+1,MIN_SIZE$1)),V.values.unshift(...R.values.slice(HALF_NODE_SPLIT+1,MIN_SIZE$1)),this.keys.splice(N-1,2,K),this.values.splice(N-1,2,W),this.children.splice(N-1,3,F,V),L&&(F.children.push(...R.children.slice(0,HALF_NODE_SPLIT+1)),V.children.unshift(...R.children.slice(HALF_NODE_SPLIT+1,MIN_SIZE$1+1)),F.updateSize(),V.updateSize())}return this}rotateLeft(C,R,O,I){const N=R.toOwned(this.owner),L=N.keys.shift(),B=N.values.shift(),j=this.getKey(O),F=this.getValue(O);if(C.keys.push(j),C.values.push(F),this.keys[O]=L,this.values[O]=B,this.children[O+1]=N,I){const V=N.children.shift();C.children.push(V);const K=V.size+1;C.size+=K,N.size-=K}}rotateRight(C,R,O,I){const N=R.toOwned(this.owner),L=N.keys.pop(),B=N.values.pop(),j=this.getKey(O-1),F=this.getValue(O-1);if(C.keys.unshift(j),C.values.unshift(F),this.keys[O-1]=L,this.values[O-1]=B,this.children[O-1]=N,I){const V=N.children.pop();C.children.unshift(V);const K=V.size+1;C.size+=K,N.size-=K}}balanceTail(C){const R=this.selfSize,O=this.getChild(R-1),I=C.type===NodeType.Internal;O.selfSize===MIN_SIZE$1?(C.keys.unshift(this.getKey(R-1)),C.values.unshift(this.getValue(R-1)),C.keys.unshift(...O.keys),C.values.unshift(...O.values),this.keys.splice(R-1,1),this.values.splice(R-1,1),this.children.splice(R-1,1),I&&(C.children.unshift(...O.children),C.size+=O.size+1)):this.rotateRight(C,O,R,I)}balanceHead(C){const R=this.getChild(1),O=C.type===NodeType.Internal;R.selfSize===MIN_SIZE$1?(C.keys.push(this.getKey(0)),C.values.push(this.getValue(0)),C.keys.push(...R.keys),C.values.push(...R.values),this.keys.splice(0,1),this.values.splice(0,1),this.children.splice(1,1),O&&(C.children.push(...R.children),C.size+=R.size+1)):this.rotateLeft(C,R,0,O)}updateWithSplit(C,R,O,I,N,L){const B=this.toOwned(C);B.keys.splice(L,0,I),B.values.splice(L,0,N),B.children.splice(L,1,R,O);const j=new InternalNode(C,B.keys.splice(16,16),B.values.splice(16,16),B.children.splice(16,17),0),F=B.keys.pop(),V=B.values.pop();return B.updateSize(),j.updateSize(),[B,j,F,V]}updateSize(){let C=this.selfSize;const R=this.children.length;for(let O=0;O<R;O+=1)C+=this.children[O].size;this.size=C}}class LeafNode{get size(){return this.keys.length}get selfSize(){return this.size}constructor(C,R,O){this.type=NodeType.Leaf,this.owner=C,this.keys=R,this.values=O}toOwned(C){return this.owner===C?this:new LeafNode(C,this.keys.slice(),this.values.slice())}getKey(C){return this.keys[C]}getValue(C){return this.values[C]}get(C){const R=this.selfSize,O=binaryFind(this.keys,C);if(O!==R)return this.getKey(O)===C?this.getValue(O):void 0}contains(C){const R=this.selfSize,O=binaryFind(this.keys,C);return O!==R?this.getKey(O)===C:!1}insert(C,R,O){const I=this.selfSize,N=binaryFind(this.keys,R);if((N===I?void 0:this.getKey(N))===R){const B=this.getValue(N);if(is$1(O,B))return[this];const j=this.toOwned(C);return j.values[N]=O,[j]}else{if(I===MAX_SIZE)return this.updateWithSplit(C,R,O,N);const B=this.toOwned(C);return B.keys.splice(N,0,R),B.values.splice(N,0,O),[B]}}update(C,R,O){const I=this.selfSize,N=binaryFind(this.keys,R);if((N===I?void 0:this.getKey(N))===R){const B=this.getValue(N),j=O(B);if(is$1(j,B))return this;const F=this.toOwned(C);return F.values[N]=j,F}return this}remove(C,R){const O=binaryFind(this.keys,R),I=this.selfSize;return O===I?this:this.removeIndex(C,O)}removeMostRight(C){const R=this.selfSize-1,O=this.getKey(R),I=this.getValue(R),N=this.removeIndex(C,R);return[O,I,N]}map(C,R){const O=[];let I=!0;for(let N=0;N<this.keys.length;N+=1){const L=this.getKey(N),B=this.getValue(N),j=R(B,L);O.push(j),I=I&&is$1(B,j)}return I?this:new LeafNode(C,this.keys,O)}forEach(C){for(let R=0;R<this.keys.length;R+=1){const O=this.getKey(R),I=this.getValue(R);C(I,O)}}find(C){return this.values.find(C)}updateWithSplit(C,R,O,I){const N=this.toOwned(C);N.keys.splice(I,0,R),N.values.splice(I,0,O);const L=new LeafNode(C,N.keys.splice(16,16),N.values.splice(16,16)),B=N.keys.pop(),j=N.values.pop();return[N,L,B,j]}removeIndex(C,R){const O=this.toOwned(C);return O.keys.splice(R,1),O.values.splice(R,1),O}}function emptyRoot(S){return new LeafNode(S,[],[])}function rootInsert(S,C,R,O){if(C.selfSize===0)return new LeafNode(S,[R],[O]);const I=C.insert(S,R,O);if(I.length===1)return I[0];const[N,L,B,j]=I;return new InternalNode(S,[B],[j],[N,L],N.size+L.size+1)}function rootRemove(S,C,R){const O=C.remove(S,R);return O.type===NodeType.Internal&&O.selfSize===0?O.getChild(0):O}class BTreeIterator{constructor(C){this.delegate=null,this.index=0,this.done=!1,this.node=C,this.setDelegate(this.index)}[Symbol.iterator](){return this.clone()}next(){if(this.delegate===null)return this.yieldValue();const C=this.delegate.next();if(!C.done)return{done:!1,value:C.value};const R=this.yieldValue();return this.index<=this.node.selfSize?this.setDelegate(this.index):(this.done=!0,this.delegate=null),R}clone(){const C=new BTreeIterator(this.node);return C.delegate=this.delegate,C.index=this.index,C.done=this.done,C}setDelegate(C){if(this.node.type!==NodeType.Internal)return;const R=this.node.getChild(C);this.delegate=new BTreeIterator(R)}yieldValue(){if(!this.done&&this.index<this.node.selfSize){const C=this.node.getKey(this.index),R=this.node.getValue(this.index);return this.index+=1,{done:!1,value:[C,R]}}return this.done=!0,{done:!0,value:void 0}}}const uid$7=new Uid;let OrderedMap$1=class bm{get size(){return this.hashRoot.size}constructor(C,R,O){this.id=uid$7.take(),this.itemId=C,this.hashRoot=R,this.sortedRoot=O}static empty(){return OrderedMapBuilder.empty().finish()}static from(C){return OrderedMapBuilder.from(C).finish()}delete(C){const R=uid$7.peek(),O=hashing(C),I=this.hashRoot.remove(R,C,O,0);if(I===void 0)return this;const[N,L]=I,B=this.sortedRoot.remove(R,L);return new bm(this.itemId,N,B)}get(C){const R=hashing(C),O=this.hashRoot.get(C,R,0);if(O===void 0)return;const I=this.sortedRoot.get(O);return I==null?void 0:I[1]}has(C){const R=hashing(C);return this.hashRoot.contains(C,R,0)}set(C,R){const O=uid$7.peek();let I=this.hashRoot.get(C,hashing(C),0),N=this.hashRoot;I||(I=this.itemId+1,N=this.hashRoot.insert(O,C,I,hashing(C),0));const L=rootInsert(O,this.sortedRoot,I,[C,R]);return this.withRoot(this.itemId+1,N,L)}update(C,R){const O=this.hashRoot.get(C,hashing(C),0);if(!O)return this;const I=this.sortedRoot.update(uid$7.peek(),O,N=>{const[L,B]=N,j=R(B);return is$1(j,B)?N:[L,j]});return this.withRoot(this.itemId,this.hashRoot,I)}[Symbol.iterator](){return this.entries()}clone(){return new bm(this.itemId,this.hashRoot,this.sortedRoot)}entries(){return new OrderedMapIterator(new BTreeIterator(this.sortedRoot))}values(){return new MapIterator$1(this.entries(),([,C])=>C)}mutate(){return new OrderedMapBuilder(this.itemId,this.hashRoot,this.sortedRoot)}map(C){const R=uid$7.peek(),O=N=>{const[L,B]=N,j=C(B,L);return is$1(B,j)?N:[L,j]},I=this.sortedRoot.map(R,O);return new bm(this.itemId,this.hashRoot,I)}forEach(C){this.sortedRoot.forEach(([R,O])=>{C(O,R)})}find(C){const R=this.sortedRoot.find(([,O])=>C(O));return R?R[1]:void 0}first(){const C=this.entries().next();if(!C.done)return C.value[1]}filter(C){const R=this.mutate();return this.forEach((O,I)=>{C(O,I)||R.delete(I)}),R.finish()}withRoot(C,R,O){return R===this.hashRoot&&O===this.sortedRoot?this:new bm(C,R,O)}};class OrderedMapIterator{constructor(C){this.delegate=C}[Symbol.iterator](){return this.clone()}next(){const C=this.delegate.next();return C.done?{done:!0,value:void 0}:{done:!1,value:C.value[1]}}clone(){return new OrderedMapIterator(this.delegate.clone())}}class OrderedMapBuilder{constructor(C,R,O){this.id=uid$7.take(),this.itemId=C,this.hashRoot=R,this.sortedRoot=O}static empty(){const C=uid$7.peek(),R=BitmapIndexedNode$1.empty(C),O=emptyRoot(C);return new OrderedMapBuilder(0,R,O)}static from(C){if(Array.isArray(C))return OrderedMapBuilder.fromArray(C);const R=OrderedMapBuilder.empty(),O=C[Symbol.iterator]();let I=O.next();for(;!I.done;){const[N,L]=I.value;R.set(N,L),I=O.next()}return R}static fromArray(C){const R=OrderedMapBuilder.empty();for(let O=0;O<C.length;O+=1){const[I,N]=C[O];R.set(I,N)}return R}delete(C){const R=hashing(C),O=this.hashRoot.remove(this.id,C,R,0);if(O===void 0)return this;const I=O[1];return this.hashRoot=O[0],this.sortedRoot=rootRemove(this.id,this.sortedRoot,I),this}get(C){var R;const O=hashing(C),I=this.hashRoot.get(C,O,0);if(I!==void 0)return(R=this.sortedRoot.get(I))===null||R===void 0?void 0:R[1]}has(C){const R=hashing(C);return this.hashRoot.contains(C,R,0)}set(C,R){let O=this.hashRoot.get(C,hashing(C),0);return O===void 0&&(O=this.itemId+1,this.itemId+=1,this.hashRoot=this.hashRoot.insert(this.id,C,O,hashing(C),0)),this.sortedRoot=rootInsert(this.id,this.sortedRoot,O,[C,R]),this}update(C,R){const O=this.hashRoot.get(C,hashing(C),0);return O?(this.sortedRoot=this.sortedRoot.update(this.id,O,I=>{const[N,L]=I,B=R(L);return is$1(B,L)?I:[N,B]}),this):this}finish(){return new OrderedMap$1(this.itemId,this.hashRoot,this.sortedRoot)}}const getPortPosition=(S,C,R)=>{const O=getRectWidth(R,S),I=getRectHeight(R,S),N=C.position?C.position[0]*O:O*.5,L=S.x+N,B=C.position?C.position[1]*I:I,j=S.y+B;return{x:L,y:j}},getPortPositionByPortId=(S,C,R)=>{const O=getNodeConfig(S,R);if(!O)return;const N=(S.ports||[]).find(L=>L.id===C);if(!N){Debug.warn(`invalid port id ${JSON.stringify(N)}`);return}return getPortPosition(S,N,O)},identical=S=>S,isMobile=()=>[/Android/i,/webOS/i,/iPhone/i,/iPad/i,/iPod/i,/BlackBerry/i,/Windows Phone/i].some(C=>navigator.userAgent.match(C));var BrowserType;(function(S){S.Unknown="Unknown",S.Edge="Edge",S.EdgeChromium="EdgeChromium",S.Opera="Opera",S.Chrome="Chrome",S.IE="IE",S.Firefox="Firefox",S.Safari="Safari",S.Electron="Electron"})(BrowserType||(BrowserType={}));const getBrowser=()=>{const S=navigator.userAgent.toLowerCase();if(S.indexOf("electron")>-1)return BrowserType.Electron;switch(!0){case S.indexOf("edge")>-1:return BrowserType.Edge;case S.indexOf("edg")>-1:return BrowserType.EdgeChromium;case(S.indexOf("opr")>-1&&!!window.opr):return BrowserType.Opera;case(S.indexOf("chrome")>-1&&!!window.chrome):return BrowserType.Chrome;case S.indexOf("trident")>-1:return BrowserType.IE;case S.indexOf("firefox")>-1:return BrowserType.Firefox;case S.indexOf("safari")>-1:return BrowserType.Safari;default:return BrowserType.Unknown}},isSupported=()=>{if(isMobile())return!1;const S=getBrowser();return[BrowserType.Chrome,BrowserType.EdgeChromium,BrowserType.Firefox,BrowserType.Safari,BrowserType.Electron].indexOf(S)>-1},isMacOs=navigator.userAgent.includes("Macintosh"),metaControl=S=>isMacOs?S.metaKey:S.ctrlKey,checkIsMultiSelect=S=>S.shiftKey||metaControl(S),transformPoint=(S,C,R)=>({x:R[0]*S+R[2]*C+R[4],y:R[1]*S+R[3]*C+R[5]}),reverseTransformPoint=(S,C,R)=>{const[O,I,N,L,B,j]=R;return{x:((S-B)*L-(C-j)*N)/(O*L-I*N),y:((S-B)*I-(C-j)*O)/(I*N-O*L)}},getPointDeltaByClientDelta=(S,C,R)=>{const[O,I,N,L]=R,B=L*S/(O*L-I*N)+N*C/(I*N-O*L),j=I*S/(I*N-O*L)+O*C/(O*L-I*N);return{x:B,y:j}},getClientDeltaByPointDelta=(S,C,R)=>{if(!R)return{x:S,y:C};const[O,I,N,L]=R;return transformPoint(S,C,[O,I,N,L,0,0])},getRealPointFromClientPoint=(S,C,R)=>{const{rect:O}=R,I=S-O.left,N=C-O.top;return reverseTransformPoint(I,N,R.transformMatrix)},getClientPointFromRealPoint=(S,C,R)=>{const{x:O,y:I}=transformPoint(S,C,R.transformMatrix),{rect:N}=R;return{x:O+N.left,y:I+N.top}},getContainerClientPoint=(S,C,R)=>{const O=getClientPointFromRealPoint(S,C,R),{rect:I}=R;return{x:O.x-I.left,y:O.y-I.top}};function markEdgeDirty(S,C){S.update(C,R=>R.shallow())}const getNearestConnectablePort=S=>{const{parentNode:C,clientX:R,clientY:O,graphConfig:I,viewport:N}=S;let L=1/0,B;if(!C.ports)return;const j=getRealPointFromClientPoint(R,O,N);return C.ports.forEach(F=>{if(isConnectable(I,Object.assign(Object.assign({},S),{model:F}))){const V=getPortPositionByPortId(C,F.id,I);if(!V)return;const K=j.x-V.x,W=j.y-V.y,X=K*K+W*W;X<L&&(L=X,B=F)}}),B},isConnectable=(S,C)=>{const R=S.getPortConfig(C.model);return R?R.getIsConnectable(C):!1},filterSelectedItems=S=>{const C=new Map,R=[];return S.nodes.forEach(({inner:O})=>{isSelected(O)&&C.set(O.id,O)}),S.edges.forEach(({inner:O})=>{(isSelected(O)||C.has(O.source)&&C.has(O.target))&&R.push(O)}),{nodes:Array.from(C.values()),edges:R}},getNeighborPorts=(S,C,R)=>{const O=[],I=S.getEdgesBySource(C,R),N=S.getEdgesByTarget(C,R);return I==null||I.forEach(L=>{const B=S.edges.get(L);B&&O.push({nodeId:B.target,portId:B.targetPortId})}),N==null||N.forEach(L=>{const B=S.edges.get(L);B&&O.push({nodeId:B.source,portId:B.sourcePortId})}),O},unSelectAllEntity=()=>S=>S.mapNodes(C=>C.update(R=>{var O;const I=Object.assign(Object.assign({},R),{ports:(O=R.ports)===null||O===void 0?void 0:O.map(updateStatus(replace$3(GraphPortStatus.Default)))});return updateStatus(replace$3(GraphNodeStatus.Default))(I)})).mapEdges(C=>C.update(updateStatus(replace$3(GraphEdgeStatus.Default)))),nodeSelection=(S,C)=>{if(isNodeEditing(C))return identical;const R=checkIsMultiSelect(S);return isSelected(C)&&!R?identical:O=>{const I=R?N=>N.id!==C.id?isSelected(N):S.button===MouseEventButton.Secondary?!0:!isSelected(C):N=>N.id===C.id;return O.selectNodes(I,C.id)}},getNodeAutomationId=S=>{var C;return`node-container-${(C=S.name)!==null&&C!==void 0?C:"unnamed"}-${S.id}`},getPortAutomationId=(S,C)=>`port-${C.name}-${C.id}-${S.name}-${S.id}`,getNodeUid=(S,C)=>`node:${S}:${C.id}`,getPortUid=(S,C,R)=>`port:${S}:${C.id}:${R.id}`,getEdgeUid=(S,C)=>`edge:${S}:${C.id}`;function preventSpread(S){Object.defineProperty(S,"__preventSpread",{enumerable:!0,configurable:!1,get(){document.currentScript&&Debug.error(`${S.constructor.name} is a class, which should not be used in the spread syntax or argument of Object.assign`)}})}class EdgeModel{get id(){return this.inner.id}get automationId(){return this.inner.automationId}get source(){return this.inner.source}get target(){return this.inner.target}get sourcePortId(){return this.inner.sourcePortId}get targetPortId(){return this.inner.targetPortId}get status(){return this.inner.status}get data(){return this.inner.data}constructor(C){this.inner=C,preventSpread(this)}static fromJSON(C){return new EdgeModel(C)}updateStatus(C){return this.update(updateStatus(C))}update(C){const R=C(this.inner);return R===this.inner?this:new EdgeModel(R)}shallow(){return new EdgeModel(this.inner)}toJSON(){return this.inner}}const is$2=Object.is;function mapCow(S,C){const R=[];let O=!0;for(let I=0;I<S.length;I+=1){const N=S[I],L=C(N,I);O=O&&is$2(N,L),R.push(L)}return O?S:R}class NodeModel{get id(){return this.inner.id}get status(){return this.inner.status}get ports(){return this.inner.ports}get ariaLabel(){return this.inner.ariaLabel}get name(){return this.inner.name}get x(){return this.inner.x}get y(){return this.inner.y}get automationId(){return this.inner.automationId}get isInSearchResults(){return this.inner.isInSearchResults}get isCurrentSearchResult(){return this.inner.isCurrentSearchResult}get data(){return this.inner.data}get height(){return this.inner.height}get width(){return this.inner.width}get layer(){var C;return(C=this.inner.layer)!==null&&C!==void 0?C:0}constructor(C,R,O,I){this.inner=C,this.portPositionCache=R,this.prev=O,this.next=I,preventSpread(this)}static fromJSON(C,R,O){return new NodeModel(C,new Map,R,O)}getPort(C){var R;return(R=this.ports)===null||R===void 0?void 0:R.find(O=>O.id===C)}link({prev:C,next:R}){return C===this.prev&&R===this.next?this:new NodeModel(this.inner,this.portPositionCache,C??this.prev,R??this.next)}updateStatus(C){return this.update(updateStatus(C))}update(C){const R=C(this.inner);return R===this.inner?this:new NodeModel(R,new Map,this.prev,this.next)}updateData(C){return this.data?this.update(R=>{const O=C(R.data);return O===R.data?R:Object.assign(Object.assign({},R),{data:O})}):this}getPortPosition(C,R){let O=this.portPositionCache.get(C);return O||(O=getPortPositionByPortId(this.inner,C,R),this.portPositionCache.set(C,O)),O}hasPort(C){var R;return!!(!((R=this.inner.ports)===null||R===void 0)&&R.find(O=>O.id===C))}updatePositionAndSize(C){const{x:R,y:O,width:I,height:N}=C,L=Object.assign(Object.assign({},this.inner),{x:R,y:O,width:I??this.inner.width,height:N??this.inner.height});return new NodeModel(L,new Map,this.prev,this.next)}updatePorts(C){if(!this.inner.ports)return this;const R=mapCow(this.inner.ports,C),O=this.inner.ports===R?this.inner:Object.assign(Object.assign({},this.inner),{ports:R});return O===this.inner?this:new NodeModel(O,new Map,this.prev,this.next)}invalidCache(){return new NodeModel(this.inner,new Map,this.prev,this.next)}toJSON(){return this.inner}}class GraphModel{constructor(C){this.nodes=C.nodes,this.edges=C.edges,this.groups=C.groups,this.head=C.head,this.tail=C.tail,this.edgesBySource=C.edgesBySource,this.edgesByTarget=C.edgesByTarget,this.selectedNodes=C.selectedNodes,preventSpread(this)}static empty(){return new GraphModel({nodes:OrderedMap$1.empty(),edges:HashMap.empty(),groups:[],head:void 0,tail:void 0,edgesBySource:HashMap.empty(),edgesByTarget:HashMap.empty(),selectedNodes:new Set})}static fromJSON(C){var R;const O=OrderedMap$1.empty().mutate(),I=HashMap.empty().mutate();let N,L;if(C.nodes.length===0)N=void 0,L=void 0;else if(C.nodes.length===1){const F=C.nodes[0];O.set(F.id,NodeModel.fromJSON(F,void 0,void 0)),N=F.id,L=F.id}else{const F=C.nodes[0],V=C.nodes[1],K=C.nodes[C.nodes.length-1];N=F.id,L=K.id,O.set(F.id,NodeModel.fromJSON(F,void 0,V.id));let W=C.nodes[0];if(C.nodes.length>2)for(let X=1;X<C.nodes.length-1;X+=1){const J=C.nodes[X],oe=C.nodes[X+1];O.set(J.id,NodeModel.fromJSON(J,W.id,oe.id)),W=J}O.set(K.id,NodeModel.fromJSON(K,W.id,void 0))}const B=HashMapBuilder.empty(),j=HashMapBuilder.empty();for(const F of C.edges)I.set(F.id,EdgeModel.fromJSON(F)),setEdgeByPortMutable(B,F.id,F.source,F.sourcePortId),setEdgeByPortMutable(j,F.id,F.target,F.targetPortId);return new GraphModel({nodes:O.finish(),edges:I.finish(),groups:(R=C.groups)!==null&&R!==void 0?R:[],head:N,tail:L,edgesBySource:B.finish(),edgesByTarget:j.finish(),selectedNodes:new Set})}getNavigationFirstNode(){if(this.head!==void 0)return this.nodes.get(this.head)}updateNode(C,R){var O,I;const N=this.nodes.update(C,B=>B.update(R));if(N===this.nodes)return this;const L=this.edges.mutate();return(O=this.edgesBySource.get(C))===null||O===void 0||O.forEach(B=>{B.forEach(j=>{markEdgeDirty(L,j)})}),(I=this.edgesByTarget.get(C))===null||I===void 0||I.forEach(B=>{B.forEach(j=>{markEdgeDirty(L,j)})}),this.merge({nodes:N,edges:L.finish()})}updateNodeData(C,R){return this.merge({nodes:this.nodes.update(C,O=>O.updateData(R))})}updatePort(C,R,O){const I=this.nodes.update(C,N=>N.updatePorts(L=>L.id===R?O(L):L));return this.merge({nodes:I})}insertNode(C){const R=this.nodes.mutate().set(C.id,NodeModel.fromJSON(C,this.tail,void 0));return this.tail&&!this.nodes.has(C.id)&&R.update(this.tail,O=>O.link({next:C.id})),this.merge({nodes:R.finish(),head:this.nodes.size===0?C.id:this.head,tail:C.id})}deleteItems(C){var R;const O=new Set,I=this.nodes.mutate();let N=this.head===void 0?void 0:this.nodes.get(this.head),L=N,B;const j=this.edgesBySource.mutate(),F=this.edgesByTarget.mutate();for(;L!==void 0;){const K=L.next?this.nodes.get(L.next):void 0;!((R=C.node)===null||R===void 0)&&R.call(C,L.inner)?(I.update(L.id,W=>W.link({prev:B==null?void 0:B.id}).update(X=>has$3(GraphNodeStatus.Editing)(X.status)?X:Object.assign(Object.assign({},X),{status:GraphNodeStatus.Default}))),B=L):(I.delete(L.id),j.delete(L.id),F.delete(L.id),O.add(L.id),B&&I.update(B.id,W=>W.link({next:L==null?void 0:L.next})),K&&I.update(K.id,W=>W.link({prev:B==null?void 0:B.id})),L===N&&(N=K)),L=K}const V=this.edges.mutate();return this.edges.forEach(K=>{var W,X;!O.has(K.source)&&!O.has(K.target)&&(!((X=(W=C.edge)===null||W===void 0?void 0:W.call(C,K))!==null&&X!==void 0)||X)?V.update(K.id,J=>J.update(updateStatus(replace$3(GraphEdgeStatus.Default)))):(V.delete(K.id),deleteEdgeByPort(j,K.id,K.source,K.sourcePortId),deleteEdgeByPort(F,K.id,K.target,K.targetPortId))}),this.merge({nodes:I.finish(),edges:V.finish(),head:N==null?void 0:N.id,tail:B==null?void 0:B.id,edgesBySource:j.finish(),edgesByTarget:F.finish()})}insertEdge(C){if(this.isEdgeExist(C.source,C.sourcePortId,C.target,C.targetPortId)||!this.nodes.has(C.source)||!this.nodes.has(C.target))return this;const R=setEdgeByPort(this.edgesBySource,C.id,C.source,C.sourcePortId),O=setEdgeByPort(this.edgesByTarget,C.id,C.target,C.targetPortId);return this.merge({nodes:this.nodes.update(C.source,I=>I.invalidCache()).update(C.target,I=>I.invalidCache()),edges:this.edges.set(C.id,EdgeModel.fromJSON(C)).map(I=>I.updateStatus(replace$3(GraphEdgeStatus.Default))),edgesBySource:R,edgesByTarget:O})}updateEdge(C,R){return this.merge({edges:this.edges.update(C,O=>O.update(R))})}deleteEdge(C){const R=this.edges.get(C);return R?this.merge({edges:this.edges.delete(C),edgesBySource:deleteEdgeByPort(this.edgesBySource,R.id,R.source,R.sourcePortId),edgesByTarget:deleteEdgeByPort(this.edgesByTarget,R.id,R.target,R.targetPortId)}):this}updateNodesPositionAndSize(C){const R=new Set,O=this.nodes.mutate(),I=this.edges.mutate();return C.forEach(N=>{var L,B;R.add(N.id),O.update(N.id,j=>j.updatePositionAndSize(N)),(L=this.edgesBySource.get(N.id))===null||L===void 0||L.forEach(j=>{j.forEach(F=>{markEdgeDirty(I,F)})}),(B=this.edgesByTarget.get(N.id))===null||B===void 0||B.forEach(j=>{j.forEach(F=>{markEdgeDirty(I,F)})})}),this.merge({nodes:O.finish(),edges:I.finish()})}mapNodes(C){return this.merge({nodes:this.nodes.map(C)})}mapEdges(C){return this.merge({edges:this.edges.map(C)})}selectNodes(C,R){const O=new Set,I=this.nodes.map(B=>{const j=C(B.inner);return j&&O.add(B.id),B.updatePorts(updateStatus(replace$3(GraphPortStatus.Default))).updateStatus(resetConnectStatus(j?GraphNodeStatus.Selected:GraphNodeStatus.UnconnectedToSelected))}).mutate();if(O.size===0)this.nodes.forEach(B=>I.update(B.id,j=>j.updateStatus(replace$3(GraphNodeStatus.Default))));else if(R){const B=I.get(R);B&&(I.delete(R),I.set(B.id,B))}const N=B=>{I.update(B,j=>j.updateStatus(replace$3(isSelected(j)?GraphNodeStatus.Selected:GraphNodeStatus.ConnectedToSelected)))},L=O.size?this.edges.map(B=>{let j=GraphEdgeStatus.UnconnectedToSelected;return O.has(B.source)&&(N(B.target),j=GraphEdgeStatus.ConnectedToSelected),O.has(B.target)&&(N(B.source),j=GraphEdgeStatus.ConnectedToSelected),B.updateStatus(replace$3(j))}):this.edges.map(B=>B.updateStatus(replace$3(GraphEdgeStatus.Default)));return this.merge({nodes:I.finish(),edges:L,selectedNodes:O})}getEdgesBySource(C,R){var O;return(O=this.edgesBySource.get(C))===null||O===void 0?void 0:O.get(R)}getEdgesByTarget(C,R){var O;return(O=this.edgesByTarget.get(C))===null||O===void 0?void 0:O.get(R)}isPortConnectedAsSource(C,R){var O,I;return((I=(O=this.getEdgesBySource(C,R))===null||O===void 0?void 0:O.size)!==null&&I!==void 0?I:0)>0}isPortConnectedAsTarget(C,R){var O,I;return((I=(O=this.getEdgesByTarget(C,R))===null||O===void 0?void 0:O.size)!==null&&I!==void 0?I:0)>0}shallow(){return this.merge({})}toJSON(){const C=[];let R=this.head&&this.nodes.get(this.head);for(;R;)C.push(R.inner),R=R.next&&this.nodes.get(R.next);const O=Array.from(this.edges.values()).map(I=>I.inner);return{nodes:C,edges:O}}isEdgeExist(C,R,O,I){const N=this.getEdgesBySource(C,R),L=this.getEdgesByTarget(O,I);if(!N||!L)return!1;let B=!1;return N.forEach(j=>{L.has(j)&&(B=!0)}),B}merge(C){var R,O,I,N,L,B,j,F;return new GraphModel({nodes:(R=C.nodes)!==null&&R!==void 0?R:this.nodes,edges:(O=C.edges)!==null&&O!==void 0?O:this.edges,groups:(I=C.groups)!==null&&I!==void 0?I:this.groups,head:(N=C.head)!==null&&N!==void 0?N:this.head,tail:(L=C.tail)!==null&&L!==void 0?L:this.tail,edgesBySource:(B=C.edgesBySource)!==null&&B!==void 0?B:this.edgesBySource,edgesByTarget:(j=C.edgesByTarget)!==null&&j!==void 0?j:this.edgesByTarget,selectedNodes:(F=C.selectedNodes)!==null&&F!==void 0?F:this.selectedNodes})}}function setEdgeByPort(S,C,R,O){return S.has(R)?S.update(R,I=>{const N=I.get(O);return new Map(I).set(O,(N?new Set(N):new Set).add(C))}):S.set(R,new Map([[O,new Set([C])]]))}function setEdgeByPortMutable(S,C,R,O){S.has(R)?S.update(R,I=>{let N=I.get(O);return N||(N=new Set,I.set(O,N)),N.add(C),I}):S.set(R,new Map([[O,new Set([C])]]))}function deleteEdgeByPort(S,C,R,O){return S.has(R)?S.update(R,I=>{const N=I.get(O);if(!N)return I;const L=new Set(N);return L.delete(C),new Map(I).set(O,L)}):S}var CanvasMouseMode;(function(S){S.Pan="Pan",S.Select="Select"})(CanvasMouseMode||(CanvasMouseMode={}));var GraphBehavior;(function(S){S.Default="default",S.Dragging="dragging",S.Panning="panning",S.MultiSelect="multiSelect",S.Connecting="connecting",S.AddingNode="addingNode"})(GraphBehavior||(GraphBehavior={}));function clamp$1(S,C,R){return S>R?S:C<R?C:R}function isDef(S){return S!=null}const debounce$2=(S,C,R)=>{const{instance:O,maxWait:I}=R||{};let N=0,L;return(...j)=>{if(window.clearTimeout(N),isDef(I)){const F=Date.now();if(!isDef(L))L=F;else if(F-L>=I){L=void 0,B(j);return}}N=window.setTimeout(()=>{B(j)},C)};function B(j){S.apply(O,j)}},emptyArrayInstance=[];function constantEmptyArray(){return emptyArrayInstance}const checkRectIntersect=(S,C)=>{const R=S.maxX<C.minX,O=S.minX>C.maxX,I=S.minY>C.maxY,N=S.maxY<C.minY;return!(R||O||I||N)},isPointInRect=(S,C)=>{const{minX:R,minY:O,maxX:I,maxY:N}=S,{x:L,y:B}=C;return L>R&&L<I&&B>O&&B<N},square$1=S=>Math.pow(S,2),distance=(S,C,R,O)=>Math.sqrt(square$1(R-S)+square$1(O-C)),getLinearFunction=(S,C,R,O)=>S===R?()=>Number.MAX_SAFE_INTEGER:I=>(O-C)/(R-S)*I+(C*R-O*S)/(R-S),shallowEqual$1=(S,C)=>{if(!S||S.length!==C.length)return!1;for(let R=0;R<S.length;R+=1)if(!is$2(S[R],C[R]))return!1;return!0};function memoize$2(S,C){let R,O;return(...I)=>{const N=C?Array.isArray(C)?C:C.apply(void 0,I):I;return shallowEqual$1(R,N)||(R=N,O=S.apply(void 0,I)),O}}var Direction$1;(function(S){S[S.X=0]="X",S[S.Y=1]="Y",S[S.XY=2]="XY"})(Direction$1||(Direction$1={}));const isViewportComplete=S=>!!S.rect,getNodeRect=(S,C)=>{const{x:R,y:O}=S,{width:I,height:N}=getNodeSize(S,C);return{x:R,y:O,width:I,height:N}},isNodeVisible=(S,C,R)=>isRectVisible(getNodeRect(S,R),C),isRectVisible=(S,C)=>{const{x:R,y:O,width:I,height:N}=S;return isPointVisible({x:R,y:O},C)||isPointVisible({x:R+I,y:O},C)||isPointVisible({x:R+I,y:O+N},C)||isPointVisible({x:R,y:O+N},C)},isPointVisible=(S,C)=>{const{x:R,y:O}=getContainerClientPoint(S.x,S.y,C),{height:I,width:N}=C.rect;return R>0&&R<N&&O>0&&O<I},getVisibleNodes=(S,C,R)=>{const O=[];return S.forEach(I=>{isNodeVisible(I,C,R)&&O.push(I.inner)}),O},getRenderedNodes=(S,C)=>{const R=[],O=getRenderedArea(C);return S.forEach(I=>{isNodeInRenderedArea(I,O)&&R.push(I.inner)}),R},isNodeInRenderedArea=(S,C)=>isPointInRect(C,S),getVisibleArea=S=>{if(!isViewportComplete(S))return{minX:0,minY:0,maxX:0,maxY:0};const{rect:C,transformMatrix:R}=S,O=0,I=0,N=C.width,L=C.height,B=reverseTransformPoint(O,I,R),j=reverseTransformPoint(N,L,R);return{minX:B.x,minY:B.y,maxX:j.x,maxY:j.y}},getRenderedArea=S=>{if(!isViewportComplete(S))return{minX:0,minY:0,maxX:0,maxY:0};const{rect:C,transformMatrix:R}=S,O=0,I=0,N=C.width,L=C.height,B=reverseTransformPoint(O-C.width,I-C.height,R),j=reverseTransformPoint(N+C.width,L+C.height,R);return{minX:B.x,minY:B.y,maxX:j.x,maxY:j.y}},normalizeSpacing=S=>S?typeof S=="number"?{top:S,right:S,bottom:S,left:S}:Object.assign({top:0,right:0,bottom:0,left:0},S):{top:0,right:0,bottom:0,left:0},zoomTo=({scale:S,anchor:C,direction:R,limitScale:O})=>I=>{const N=O(S)/I.transformMatrix[0],L=O(S)/I.transformMatrix[3],{x:B,y:j}=C,F=B*(1-N),V=j*(1-L);let K;switch(R){case 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Object.assign(Object.assign({},I),{transformMatrix:N})},pan=(S,C)=>S===0&&C===0?identical:R=>Object.assign(Object.assign({},R),{transformMatrix:[R.transformMatrix[0],R.transformMatrix[1],R.transformMatrix[2],R.transformMatrix[3],R.transformMatrix[4]+S,R.transformMatrix[5]+C]}),minimapPan=(S,C)=>S===0&&C===0?identical:R=>{const[O,I,N,L]=R.transformMatrix;return Object.assign(Object.assign({},R),{transformMatrix:[O,I,N,L,R.transformMatrix[4]+O*S+I*C,R.transformMatrix[5]+N*S+L*C]})},getContentArea$1=(S,C,R)=>{let O=1/0,I=1/0,N=1/0,L=1/0,B=-1/0,j=-1/0;return(R===void 0?W=>S.nodes.forEach(W):W=>R==null?void 0:R.forEach(X=>{const J=S.nodes.get(X);J&&W(J)}))(W=>{const{width:X,height:J}=getNodeSize(W,C);W.x<N&&(N=W.x),W.y<L&&(L=W.y),W.x+X>B&&(B=W.x+X),W.y+J>j&&(j=W.y+J),X<O&&(O=X),J<I&&(I=J)}),{minNodeWidth:O,minNodeHeight:I,minNodeX:N,minNodeY:L,maxNodeX:B,maxNodeY:j}},normalizeNodeVisibleMinMax=({nodeMinVisibleSize:S,nodeMaxVisibleSize:C})=>{let{width:R,height:O}=S,{width:I,height:N}=C;if(R>I){const L=R;R=I,I=L}if(O>N){const L=O;O=N,N=L}return{nodeMinVisibleWidth:R,nodeMinVisibleHeight:O,nodeMaxVisibleWidth:I,nodeMaxVisibleHeight:N}},getScaleRange=(S,{width:C,height:R})=>{const{nodeMinVisibleWidth:O,nodeMinVisibleHeight:I,nodeMaxVisibleWidth:N,nodeMaxVisibleHeight:L}=normalizeNodeVisibleMinMax(S);let B=0,j=0,F=1/0,V=1/0;return C&&(B=O/C,F=N/C),R&&(j=I/R,V=L/R),{minScaleX:B,minScaleY:j,maxScaleX:F,maxScaleY:V}},getZoomFitMatrix=S=>{const{data:C,graphConfig:R,disablePan:O,direction:I,rect:N}=S,{nodes:L}=C;if(L.size===0)return[1,0,0,1,0,0];const{minNodeWidth:B,minNodeHeight:j,minNodeX:F,minNodeY:V,maxNodeX:K,maxNodeY:W}=getContentArea$1(C,R),{minScaleX:X,minScaleY:J,maxScaleX:oe,maxScaleY:pe}=getScaleRange(S,{width:B,height:j}),me=normalizeSpacing(S.spacing),{width:xe,height:Ae}=N,ge=xe/(K-F+me.left+me.right),Te=Ae/(W-V+me.top+me.bottom),we=I===Direction$1.Y?Math.min(Math.max(X,J,Te),oe,pe):Math.min(Math.max(X,J,Math.min(ge,Te)),pe,pe),ke=I===Direction$1.XY?Math.min(Math.max(X,ge),oe):we,Be=I===Direction$1.XY?Math.min(Math.max(J,Te),pe):we;if(O)return[ke,0,0,Be,0,0];const Ie=-ke*(F-me.left),je=-Be*(V-me.top);if(getVisibleNodes(C.nodes,{rect:N,transformMatrix:[ke,0,0,Be,Ie,je]},R).length>0)return[ke,0,0,Be,Ie,je];let Je=C.nodes.first();return Je&&C.nodes.forEach(Xe=>{Je.y>Xe.y&&(Je=Xe)}),[ke,0,0,Be,-ke*(Je.x-me.left),-Be*(Je.y-me.top)]},focusArea=(S,C,R,O,I)=>{const N=R-S,L=O-C,B=Math.min(I.rect.width/N,I.rect.height/L),j=-B*(S+N/2)+I.rect.width/2,F=-B*(C+L/2)+I.rect.height/2;return Object.assign(Object.assign({},I),{transformMatrix:[B,0,0,B,j,F]})};function getContainerCenter(S){const C=S.current;if(!C)return;const R=C.width/2,O=C.height/2;return{x:R,y:O}}function getRelativePoint(S,C){const R=C.clientX-S.left,O=C.clientY-S.top;return{x:R,y:O}}const scrollIntoView$1=(S,C,R,O,I)=>{if(!R)return identical;const{width:N,height:L}=R;return!(S<0||S>N||C<0||C>L)&&!O?identical:j=>{const F=I?I.x-S:N/2-S,V=I?I.y-C:L/2-C;return Object.assign(Object.assign({},j),{transformMatrix:[j.transformMatrix[0],j.transformMatrix[1],j.transformMatrix[2],j.transformMatrix[3],j.transformMatrix[4]+F,j.transformMatrix[5]+V]})}},getScaleLimit=(S,C)=>{const{minNodeWidth:R,minNodeHeight:O}=getContentArea$1(S,C.graphConfig),{minScaleX:I,minScaleY:N}=getScaleRange(C,{width:R,height:O});return Math.max(I,N)},getContentArea=memoize$2(getContentArea$1),getOffsetLimit=({data:S,graphConfig:C,rect:R,transformMatrix:O,canvasBoundaryPadding:I,groupPadding:N})=>{var L,B,j,F;const V=getContentArea(S,C),K=getClientDeltaByPointDelta(V.minNodeX-((N==null?void 0:N.left)||0),V.minNodeY-((N==null?void 0:N.top)||0),O);K.x-=(L=I==null?void 0:I.left)!==null&&L!==void 0?L:0,K.y-=(B=I==null?void 0:I.top)!==null&&B!==void 0?B:0;const W=getClientDeltaByPointDelta(V.maxNodeX+((N==null?void 0:N.right)||0),V.maxNodeY+((N==null?void 0:N.bottom)||0),O);W.x+=(j=I==null?void 0:I.right)!==null&&j!==void 0?j:0,W.y+=(F=I==null?void 0:I.bottom)!==null&&F!==void 0?F:0;let X=-K.x||0,J=-K.y||0,oe=R.width-W.x||0,pe=R.height-W.y||0;if(oe<X){const me=oe;oe=X,X=me}if(pe<J){const me=pe;pe=J,J=me}return{minX:X,minY:J,maxX:oe,maxY:pe}},pushHistory=(S,C,R=identical)=>({present:C,past:{next:S.past,value:R(S.present)},future:null}),undo=S=>S.past?{present:S.past.value,past:S.past.next,future:{next:S.future,value:S.present}}:S,redo=S=>S.future?{present:S.future.value,past:{next:S.past,value:S.present},future:S.future.next}:S,resetUndoStack=S=>({present:S,future:null,past:null}),isWithinThreshold=(S,C,R)=>Math.abs(S)<R&&Math.abs(C)<R,EMPTY_TRANSFORM_MATRIX=[1,0,0,1,0,0],EMPTY_VIEW_PORT={rect:void 0,transformMatrix:EMPTY_TRANSFORM_MATRIX},EMPTY_GAP={top:0,right:0,bottom:0,left:0},DEFAULT_NODE_MIN_VISIBLE_SIZE={width:NODE_MIN_VISIBLE_LENGTH,height:NODE_MIN_VISIBLE_LENGTH},DEFAULT_NODE_MAX_VISIBLE_SIZE={width:NODE_MAX_VISIBLE_LENGTH,height:NODE_MAX_VISIBLE_LENGTH},DEFAULT_GRAPH_SETTINGS={features:defaultFeatures,graphConfig:GraphConfigBuilder.default().build(),canvasBoundaryPadding:EMPTY_GAP,nodeMinVisibleSize:DEFAULT_NODE_MIN_VISIBLE_SIZE,nodeMaxVisibleSize:DEFAULT_NODE_MAX_VISIBLE_SIZE},EMPTY_GRAPH_STATE=createGraphState({});function createGraphState(S){const{data:C,transformMatrix:R,settings:O}=S;return{settings:Object.assign(Object.assign({},DEFAULT_GRAPH_SETTINGS),O),data:resetUndoStack(C??GraphModel.empty()),viewport:{rect:void 0,transformMatrix:R??EMPTY_TRANSFORM_MATRIX},behavior:GraphBehavior.Default,dummyNodes:emptyDummyNodes(),alignmentLines:[],activeKeys:new Set,selectBoxPosition:emptySelectBoxPosition(),connectState:void 0}}const ViewportContext=reactExports.createContext(EMPTY_VIEW_PORT);function warnGraphStateContext(){Debug.warn("Missing GraphStateContext, GraphStateContext must be used as child of GraphStateStore")}const defaultGraphStateContext={get state(){return warnGraphStateContext(),EMPTY_GRAPH_STATE},dispatch:()=>{warnGraphStateContext()}},EMPTY_CONNECT_STATE={sourceNode:void 0,sourcePort:void 0,targetNode:void 0,targetPort:void 0,movingPoint:{x:0,y:0}},GraphValueContext=reactExports.createContext(new Proxy(GraphModel.empty(),{get:(S,C)=>(console.warn("Default graph data value is being used. Please check if you forget rendering Graph component"),Reflect.get(S,C))})),GraphStateContext=reactExports.createContext(defaultGraphStateContext),SlotsContext=reactExports.createContext({});class EventChannel{constructor(){this.listenersRef=reactExports.createRef(),this.externalHandlerRef=reactExports.createRef(),this.queue=[],this.working=!1}trigger(C){this.working?this.queue.push(C):(this.working=!0,reactDomExports.unstable_batchedUpdates(()=>{this.callHandlers(C);for(let R=0;R<this.queue.length;R+=1){const O=this.queue[R];this.callHandlers(O)}this.queue=[]}),this.working=!1)}batch(C){if(this.working)this.queue.push(...C);else{const R=C[0];if(!R)return;this.queue.push(...C.slice(1)),this.trigger(R)}}callHandlers(C){var R,O,I,N;(O=(R=this.listenersRef).current)===null||O===void 0||O.call(R,C),C.intercepted||(N=(I=this.externalHandlerRef).current)===null||N===void 0||N.call(I,C)}}class GraphController{constructor(C,R){this.pointerId=null,this.canvasClickOnce=!1,this.nodeClickOnce=null,this.eventChannel=new EventChannel,this.behavior=GraphBehavior.Default,this.dispatch=(O,I)=>{this.dispatchDelegate(O,I)},this.state=C,this.UNSAFE_latestState=C,this.dispatchDelegate=R}setMouseClientPosition(C){this.mouseClientPoint=C}unsetMouseClientPosition(){this.mouseClientPoint=void 0}getMouseClientPosition(){return this.mouseClientPoint}getEnabledFeatures(){return this.state.settings.features}getBehavior(){return this.behavior}setBehavior(C){this.behavior=C}getData(){return this.state.data.present}getGlobalEventTarget(){var C,R;return(R=(C=this.getGlobalEventTargetDelegate)===null||C===void 0?void 0:C.call(this))!==null&&R!==void 0?R:window}}function useConst(S){const C=reactExports.useRef();return C.current===void 0&&(C.current=S()),C.current}const noop$3=()=>{};class ErrorBoundary extends reactExports.Component{constructor(C){super(C),this.state={hasError:!1}}static getDerivedStateFromError(C){return{hasError:!0,error:C}}componentDidCatch(C,R){console.error(C),this.setState({error:C,errorInfo:R})}render(){var C,R;if(!this.state.hasError)return this.props.children;if(this.props.renderOnError)return(C=this.props.renderOnError(this.state.error,this.state.errorInfo,this.props.children))!==null&&C!==void 0?C:null;const O=this.state.errorInfo?(R=this.state.errorInfo.componentStack)===null||R===void 0?void 0:R.split(`
-`):[];return jsxRuntimeExports.jsxs("div",Object.assign({style:{color:"red"}},{children:[jsxRuntimeExports.jsx("h1",{children:"Something went wrong."}),jsxRuntimeExports.jsx("p",{children:`Error: ${this.state.error}`}),jsxRuntimeExports.jsx("p",{children:`ErrorInfo: ${JSON.stringify(this.state.errorInfo)}`}),jsxRuntimeExports.jsx("h2",{children:"Component Stack"}),(O??[]).map((I,N)=>jsxRuntimeExports.jsx("p",{children:I},N))]}))}}const EMPTY_CONNECT_CONTEXT={sourceNode:void 0,sourcePort:void 0,targetNode:void 0,targetPort:void 0},ConnectingStateContext=reactExports.createContext(EMPTY_CONNECT_CONTEXT);ConnectingStateContext.displayName="ConnectingStateContext";const ConnectingState=({children:S,data:C,connectState:R})=>{let O,I,N,L;R&&(O=C.nodes.get(R.sourceNode),I=O==null?void 0:O.getPort(R.sourcePort),N=R.targetNode?C.nodes.get(R.targetNode):void 0,L=R.targetPort?N==null?void 0:N.getPort(R.targetPort):void 0);const B=reactExports.useMemo(()=>({sourceNode:O,sourcePort:I,targetNode:N,targetPort:L}),[O,I,N,L]);return jsxRuntimeExports.jsx(ConnectingStateContext.Provider,Object.assign({value:B},{children:S}))};ConnectingState.displayName="ConnectingState";const AlignmentLinesContext=reactExports.createContext([]),GraphControllerContext=reactExports.createContext(new GraphController(EMPTY_GRAPH_STATE,noop$3));function GraphStateStore(S){const{graphController:C,state:R,dispatch:O,children:I}=S,N=reactExports.useMemo(()=>({state:R,dispatch:O}),[R,O]);return jsxRuntimeExports.jsx(GraphConfigContext.Provider,Object.assign({value:R.settings.graphConfig},{children:jsxRuntimeExports.jsx(GraphControllerContext.Provider,Object.assign({value:C},{children:jsxRuntimeExports.jsx(ConnectingState,Object.assign({data:R.data.present,connectState:R.connectState},{children:jsxRuntimeExports.jsx(GraphStateContext.Provider,Object.assign({value:N},{children:jsxRuntimeExports.jsx(ViewportContext.Provider,Object.assign({value:R.viewport},{children:jsxRuntimeExports.jsx(GraphValueContext.Provider,Object.assign({value:R.data.present},{children:jsxRuntimeExports.jsx(AlignmentLinesContext.Provider,Object.assign({value:R.alignmentLines},{children:I}))}))}))}))}))}))}))}const ReactDagEditor=S=>{var C;reactExports.useEffect(()=>{S.handleWarning&&(Debug.warn=S.handleWarning)},[]);const R=(C=S.handleError)===null||C===void 0?void 0:C.bind(null),{state:O,dispatch:I,getGlobalEventTarget:N}=S,L=useConst(()=>new GraphController(O,I));return L.UNSAFE_latestState=O,reactExports.useLayoutEffect(()=>{L.state=O,L.dispatchDelegate=I,L.getGlobalEventTargetDelegate=N},[I,N,L,O]),reactExports.useEffect(()=>()=>{L.dispatchDelegate=noop$3},[L]),jsxRuntimeExports.jsx(ErrorBoundary,Object.assign({renderOnError:R},{children:jsxRuntimeExports.jsx(SlotsContext.Provider,Object.assign({value:S},{children:jsxRuntimeExports.jsx(GraphStateStore,Object.assign({state:O,dispatch:I,graphController:L},{children:jsxRuntimeExports.jsx(ContextMenuConfigContext.Provider,Object.assign({value:useConst(()=>new ContextMenuConfig)},{children:jsxRuntimeExports.jsx("div",Object.assign({style:S.style,className:S.className},{children:S.children}))}))}))}))}))},useContextMenuConfigContext=()=>reactExports.useContext(ContextMenuConfigContext);var GraphNodeEvent;(function(S){S.Click="[Node]Click",S.DoubleClick="[Node]DoubleClick",S.MouseDown="[Node]MouseDown",S.MouseUp="[Node]MouseUp",S.MouseEnter="[Node]MouseEnter",S.MouseLeave="[Node]MouseLeave",S.MouseOver="[Node]MouseOver",S.MouseOut="[Node]MouseOut",S.MouseMove="[Node]MouseMove",S.ContextMenu="[Node]ContextMenu",S.Drag="[Node]Drag",S.DragStart="[Node]DragStart",S.DragEnd="[Node]DragEnd",S.PointerDown="[Node]PointerDown",S.PointerEnter="[Node]PointerEnter",S.PointerMove="[Node]PointerMove",S.PointerLeave="[Node]PointerLeave",S.PointerUp="[Node]PointerUp",S.Resizing="[Node]Resizing",S.ResizingStart="[Node]ResizingStart",S.ResizingEnd="[Node]ResizingEnd",S.KeyDown="[Node]KeyDown",S.Select="[Node]Select",S.SelectAll="[Node]SelectAll",S.Centralize="[Node]Centralize",S.Locate="[Node]Locate",S.Add="[Node]Add"})(GraphNodeEvent||(GraphNodeEvent={}));var GraphEdgeEvent;(function(S){S.Click="[Edge]Click",S.DoubleClick="[Edge]DoubleClick",S.MouseEnter="[Edge]MouseEnter",S.MouseLeave="[Edge]MouseLeave",S.MouseOver="[Edge]MouseOver",S.MouseOut="[Edge]MouseOut",S.MouseMove="[Edge]MouseMove",S.MouseDown="[Edge]MouseDown",S.MouseUp="[Edge]MouseUp",S.ContextMenu="[Edge]ContextMenu",S.ConnectStart="[Edge]ConnectStart",S.ConnectMove="[Edge]ConnectMove",S.ConnectEnd="[Edge]ConnectEnd",S.ConnectNavigate="[Edge]ConnectNavigate",S.Add="[Edge]Add"})(GraphEdgeEvent||(GraphEdgeEvent={}));var GraphPortEvent;(function(S){S.Click="[Port]Click",S.DoubleClick="[Port]DoubleClick",S.MouseDown="[Port]MouseDown",S.PointerDown="[Port]PointerDown",S.PointerUp="[Port]PointerUp",S.PointerEnter="[Port]PointerEnter",S.PointerLeave="[Port]PointerLeave",S.MouseUp="[Port]MouseUp",S.MouseEnter="[Port]MouseEnter",S.MouseLeave="[Port]MouseLeave",S.MouseOver="[Port]MouseOver",S.MouseOut="[Port]MouseOut",S.MouseMove="[Port]MouseMove",S.ContextMenu="[Port]ContextMenu",S.KeyDown="[Port]KeyDown",S.Focus="[Port]Focus",S.Blur="[Port]Blur"})(GraphPortEvent||(GraphPortEvent={}));var GraphCanvasEvent;(function(S){S.Click="[Canvas]Click",S.DoubleClick="[Canvas]DoubleClick",S.MouseDown="[Canvas]MouseDown",S.MouseUp="[Canvas]MouseUp",S.MouseEnter="[Canvas]MouseEnter",S.MouseLeave="[Canvas]MouseLeave",S.MouseOver="[Canvas]MouseOver",S.MouseOut="[Canvas]MouseOut",S.MouseMove="[Canvas]MouseMove",S.ContextMenu="[Canvas]ContextMenu",S.DragStart="[Canvas]DragStart",S.Drag="[Canvas]Drag",S.DragEnd="[Canvas]DragEnd",S.Pan="[Canvas]Pan",S.Focus="[Canvas]Focus",S.Blur="[Canvas]Blur",S.Zoom="[Canvas]Zoom",S.Pinch="[Canvas]Pinch",S.KeyDown="[Canvas]KeyDown",S.KeyUp="[Canvas]KeyUp",S.SelectStart="[Canvas]SelectStart",S.SelectMove="[Canvas]SelectMove",S.SelectEnd="[Canvas]SelectEnd",S.UpdateNodeSelectionBySelectBox="[Canvas]UpdateNodeSelectionBySelectBox",S.MouseWheelScroll="[Canvas]MouseWheelScroll",S.DraggingNodeFromItemPanel="[Canvas]DraggingNodeFromItemPanel",S.DraggingNodeFromItemPanelStart="[Canvas]DraggingNodeFromItemPanelStart",S.DraggingNodeFromItemPanelEnd="[Canvas]DraggingNodeFromItemPanelEnd",S.ViewportResize="[Canvas]ViewportResize",S.Navigate="[Canvas]Navigate",S.VirtualizationRecalculated="[Canvas]VirtualizationRecalculated",S.ResetSelection="[Canvas]ResetSelection",S.Copy="[Canvas]Copy",S.Paste="[Canvas]Paste",S.Delete="[Canvas]Delete",S.Undo="[Canvas]Undo",S.Redo="[Canvas]Redo",S.ScrollIntoView="[Canvas]ScrollIntoView",S.ResetUndoStack="[Canvas]ResetUndoStack",S.ResetViewport="[Canvas]ResetViewport",S.ZoomTo="[Canvas]ZoomTo",S.ZoomToFit="[Canvas]ZoomToFit",S.SetData="[Canvas]SetData",S.UpdateData="[Canvas]UpdateData",S.ScrollTo="[Canvas]ScrollTo",S.UpdateSettings="[Canvas]UpdateSettings"})(GraphCanvasEvent||(GraphCanvasEvent={}));var GraphScrollBarEvent;(function(S){S.ScrollStart="[ScrollBar]ScrollStart",S.Scroll="[ScrollBar]Scroll",S.ScrollEnd="[ScrollBar]ScrollEnd"})(GraphScrollBarEvent||(GraphScrollBarEvent={}));var GraphMinimapEvent;(function(S){S.PanStart="[Minimap]PanStart",S.Pan="[Minimap]Pan",S.PanEnd="[Minimap]PanEnd",S.Click="[Minimap]Click"})(GraphMinimapEvent||(GraphMinimapEvent={}));var GraphContextMenuEvent;(function(S){S.Open="[ContextMenu]Open",S.Close="[ContextMenu]Close"})(GraphContextMenuEvent||(GraphContextMenuEvent={}));function getScrollLineHeight(){try{const S=document.createElement("iframe");S.src="#",document.body.appendChild(S);const{contentWindow:C}=S;if(!C)throw new Error("Fail to create iframe");const R=C.document;if(!R)throw new Error("Fail to create iframe");R.open(),R.write("<!DOCTYPE html><html><head></head><body><span>a</span></body></html>"),R.close();const I=R.body.firstElementChild.offsetHeight;return document.body.removeChild(S),I}catch(S){return Debug.error("failed to calculate scroll line height",S),16}}const scrollLineHeight=getScrollLineHeight(),normalizeWheelDelta=typeof WheelEvent=="function"?(S,C)=>{switch(S){case WheelEvent.DOM_DELTA_PIXEL:return C;case WheelEvent.DOM_DELTA_LINE:return C*scrollLineHeight;case WheelEvent.DOM_DELTA_PAGE:return C*window.innerHeight;default:return C}}:(S,C)=>C,EMPTY_RECT={height:0,width:0,x:0,y:0,bottom:0,left:0,right:0,top:0,toJSON(){return this}},VirtualizationContext=reactExports.createContext({viewport:{rect:EMPTY_RECT,transformMatrix:EMPTY_TRANSFORM_MATRIX},renderedArea:{minX:0,minY:0,maxX:0,maxY:0},visibleArea:{minX:0,minY:0,maxX:0,maxY:0},renderedNodes:new Set,renderedEdges:new Set,timestamp:0});function useGraphConfig(){return reactExports.useContext(GraphConfigContext)}function useGraphController(){return reactExports.useContext(GraphControllerContext)}function useAlignmentLines(){return reactExports.useContext(AlignmentLinesContext)}function useConnectingState(){return reactExports.useContext(ConnectingStateContext)}function useVirtualization(){return reactExports.useContext(VirtualizationContext)}let shouldRespondWheel=!1;const useWheelHandler=S=>{const{containerRef:C,svgRef:R,rectRef:O,zoomSensitivity:I,scrollSensitivity:N,isHorizontalScrollDisabled:L,isVerticalScrollDisabled:B,isCtrlKeyZoomEnable:j,eventChannel:F,graphConfig:V,dispatch:K}=S,X=useGraphController().getGlobalEventTarget();reactExports.useLayoutEffect(()=>{const J=R.current,oe=C.current;if(!J||!oe)return noop$3;const pe=Ae=>{const ge=O.current;if(!ge||!shouldRespondWheel)return;if(Ae.preventDefault(),Ae.ctrlKey&&j){const Be=(normalizeWheelDelta(Ae.deltaMode,Ae.deltaY)>0?-I:I)+1;F.trigger({type:GraphCanvasEvent.Zoom,rawEvent:Ae,scale:Be,anchor:getRelativePoint(ge,Ae)});return}const Te=L?0:-normalizeWheelDelta(Ae.deltaMode,Ae.shiftKey?Ae.deltaY:Ae.deltaX)*N,we=B||Ae.shiftKey?0:-normalizeWheelDelta(Ae.deltaMode,Ae.deltaY)*N;F.trigger({type:GraphCanvasEvent.MouseWheelScroll,dx:Te,dy:we,rawEvent:Ae})},me=()=>{shouldRespondWheel=!0};oe.addEventListener("mouseenter",me);const xe=()=>{shouldRespondWheel=!1};return oe.addEventListener("mouseleave",xe),X.addEventListener("wheel",pe,{passive:!1}),()=>{X.removeEventListener("wheel",pe),oe.removeEventListener("mouseenter",me),oe.removeEventListener("mouseleave",xe)}},[R,O,I,N,K,L,B,V,F,j])};function nextFrame(S){requestAnimationFrame(()=>{requestAnimationFrame(S)})}const LIMIT=20,isRectChanged=(S,C)=>S===C?!1:!S||!C?!0:S.top!==C.top||S.left!==C.left||S.width!==C.width||S.height!==C.height,useUpdateViewportCallback=(S,C,R)=>reactExports.useCallback((O=!1)=>{var I;const N=(I=C.current)===null||I===void 0?void 0:I.getBoundingClientRect();(O||isRectChanged(S.current,N))&&(S.current=N,R.trigger({type:GraphCanvasEvent.ViewportResize,viewportRect:N}))},[R,S,C]),useContainerRect=(S,C,R,O)=>{reactExports.useLayoutEffect(()=>{S.viewport.rect||O(!0)}),reactExports.useEffect(()=>{const I=R.current;if(!I)return noop$3;const N=debounce$2(()=>nextFrame(()=>{O()}),LIMIT);if(typeof ResizeObserver<"u"){const L=new ResizeObserver(N);return L.observe(I),()=>{L.unobserve(I),L.disconnect()}}return window.addEventListener("resize",N),()=>{window.removeEventListener("resize",N)}},[R,O]),reactExports.useEffect(()=>{const I=debounce$2(L=>{const B=C.current;!B||!(L.target instanceof Element)||!L.target.contains(B)||O()},LIMIT),N={capture:!0,passive:!0};return document.body.addEventListener("scroll",I,N),()=>{document.body.removeEventListener("scroll",I,N)}},[C,O])};function makeScheduledCallback(S,C,R){let O=!1,I,N;const L=(...B)=>{I=B,O||(O=!0,N=C(()=>{O=!1,reactDomExports.unstable_batchedUpdates(()=>{S.apply(null,I)})}))};return L.cancel=()=>{R(N)},L}const animationFramed=S=>makeScheduledCallback(S,requestAnimationFrame,cancelAnimationFrame),useRenderedArea=(S,C)=>reactExports.useMemo(()=>C?getRenderedArea(S):{minX:-Number.MAX_SAFE_INTEGER,minY:-Number.MAX_SAFE_INTEGER,maxX:Number.MAX_SAFE_INTEGER,maxY:Number.MAX_SAFE_INTEGER},[S,C]);class DragController{constructor(C,R){this.onMove=noop$3,this.onEnd=noop$3,this.lastEvent=null,this.startX=0,this.startY=0,this.prevClientX=0,this.prevClientY=0,this.onMouseUp=O=>{this.lastEvent=O,this.doOnMouseUp(O),this.lastEvent=null},this.onMouseMove=O=>{this.lastEvent=O,O.preventDefault(),this.mouseMove(O)},this.eventProvider=C,this.getPositionFromEvent=R,this.mouseMove=animationFramed(O=>{this.doOnMouseMove(O)})}start(C){this.lastEvent=C;const{x:R,y:O}=this.getPositionFromEvent(C);this.startX=R,this.startY=O,this.prevClientX=R,this.prevClientY=O,this.eventProvider.on("move",this.onMouseMove),this.eventProvider.on("end",this.onMouseUp)}stop(){this.mouseMove.cancel(),this.eventProvider.off("move",this.onMouseMove),this.eventProvider.off("end",this.onMouseUp)}getDelta(C,R){const O=C-this.prevClientX,I=R-this.prevClientY;return this.prevClientX=C,this.prevClientY=R,{x:O,y:I}}getTotalDelta(C){const R=C.clientX-this.startX,O=C.clientY-this.startY;return{x:R,y:O}}doOnMouseMove(C){const{x:R,y:O}=this.getPositionFromEvent(C),{x:I,y:N}=this.getDelta(R,O),{x:L,y:B}=this.getTotalDelta(C);this.onMove({clientX:R,clientY:O,dx:I,dy:N,totalDX:L,totalDY:B,e:C})}doOnMouseUp(C){C.preventDefault();const{x:R,y:O}=this.getTotalDelta(C);this.onEnd({totalDX:R,totalDY:O,e:C}),this.stop()}}function defaultGetPositionFromEvent(S){return{x:S.clientX,y:S.clientY}}class DragNodeController extends DragController{constructor(C,R,O){super(C,R),this.rectRef=O}doOnMouseMove(C){super.doOnMouseMove(C);const R=this.rectRef.current;!R||!this.lastEvent||(C.clientX<R.left||C.clientX>R.right||C.clientY<R.top||C.clientY>R.bottom)&&this.mouseMove(this.lastEvent)}}class TouchController{constructor(C){this.eventHandlers={onPointerDown:(R,...O)=>{R.pointerType==="touch"&&(R.preventDefault(),this.pointers=new Map(this.pointers),this.pointers.set(R.pointerId,R.nativeEvent),this.updateHandler(R.nativeEvent,...O))},onPointerMove:(R,...O)=>{R.pointerType==="touch"&&(R.preventDefault(),this.pointers.set(R.pointerId,R.nativeEvent),this.onMove(R.nativeEvent,...O))},onPointerUp:(R,...O)=>{R.pointerType==="touch"&&(R.preventDefault(),this.pointers=new Map(this.pointers),this.pointers.delete(R.pointerId),this.updateHandler(R.nativeEvent,...O))}},this.pointers=new Map,this.onMove=animationFramed((R,...O)=>{var I;(I=this.currentHandler)===null||I===void 0||I.onMove(this.pointers,R,...O)}),this.handlers=C}updateHandler(C,...R){var O,I;const N=this.handlers.get(this.pointers.size);N!==this.currentHandler&&((O=this.currentHandler)===null||O===void 0||O.onEnd(C,...R),this.currentHandler=N,(I=this.currentHandler)===null||I===void 0||I.onStart(this.pointers,C,...R))}}class TwoFingerHandler{constructor(C,R){this.prevDistance=0,this.rectRef=C,this.eventChannel=R}onEnd(){}onMove(C,R){const O=Array.from(C.values()),I=distance(O[0].clientX,O[0].clientY,O[1].clientX,O[1].clientY),{prevEvents:N,prevDistance:L}=this;if(this.prevDistance=I,this.prevEvents=O,!N)return;const B=O[0].clientX-N[0].clientX,j=O[1].clientX-N[1].clientX,F=O[0].clientY-N[0].clientY,V=O[1].clientY-N[1].clientY,K=(B+j)/2,W=(F+V)/2,X=(I-L)/L+1,J=getContainerCenter(this.rectRef);J&&this.eventChannel.trigger({type:GraphCanvasEvent.Pinch,rawEvent:R,dx:K,dy:W,scale:X,anchor:J})}onStart(C){if(C.size!==2)throw new Error(`Unexpected touch event with ${C.size} touches`);this.prevEvents=Array.from(C.values()),this.prevDistance=distance(this.prevEvents[0].clientX,this.prevEvents[0].clientY,this.prevEvents[1].clientX,this.prevEvents[1].clientY)}}const useGraphTouchHandler=(S,C)=>reactExports.useMemo(()=>new TouchController(new Map().set(2,new TwoFingerHandler(S,C))).eventHandlers,[S,C]),isSafari=getBrowser()===BrowserType.Safari;let prevScale=0;function useSafariScale({rectRef:S,svgRef:C,eventChannel:R}){reactExports.useEffect(()=>{const O=C.current;if(!isSafari||!O||isMobile())return()=>{};const I=animationFramed(j=>{const{scale:F}=j,V=F/prevScale;prevScale=F,R.trigger({type:GraphCanvasEvent.Zoom,rawEvent:j,scale:V,anchor:getContainerCenter(S)})}),N=j=>{j.stopPropagation(),j.preventDefault(),prevScale=j.scale,R.trigger({type:GraphCanvasEvent.Zoom,rawEvent:j,scale:j.scale,anchor:getContainerCenter(S)})},L=j=>{j.stopPropagation(),j.preventDefault(),I(j)},B=j=>{j.stopPropagation(),j.preventDefault(),I(j)};return O.addEventListener("gesturestart",N),O.addEventListener("gesturechange",L),O.addEventListener("gestureend",B),()=>{O.removeEventListener("gesturestart",N),O.removeEventListener("gesturechange",L),O.removeEventListener("gestureend",B)}},[])}function useDeferredValue(S,{timeout:C}){const[R,O]=reactExports.useState(S);return reactExports.useEffect(()=>{const I=setTimeout(()=>{O(S)},C);return()=>{clearTimeout(I)}},[S,C]),R}const useSelectBox=(S,C)=>{const R=useDeferredValue(C,{timeout:100});reactExports.useEffect(()=>{S({type:GraphCanvasEvent.UpdateNodeSelectionBySelectBox})},[R])},useGraphState=()=>reactExports.useContext(GraphStateContext),handleBehaviorChange=(S,C)=>{switch(C.type){case GraphNodeEvent.DragStart:return GraphBehavior.Dragging;case GraphEdgeEvent.ConnectStart:return GraphBehavior.Connecting;case GraphCanvasEvent.SelectStart:return GraphBehavior.MultiSelect;case GraphCanvasEvent.DragStart:return GraphBehavior.Panning;case GraphCanvasEvent.DraggingNodeFromItemPanelStart:return GraphBehavior.AddingNode;case GraphNodeEvent.DragEnd:case GraphEdgeEvent.ConnectEnd:case GraphCanvasEvent.SelectEnd:case GraphCanvasEvent.DragEnd:case GraphCanvasEvent.DraggingNodeFromItemPanelEnd:return GraphBehavior.Default;default:return S}},behaviorReducer=(S,C)=>{const R=handleBehaviorChange(S.behavior,C);return R===S.behavior?S:Object.assign(Object.assign({},S),{behavior:R})};function __rest(S,C){var R={};for(var O in S)Object.prototype.hasOwnProperty.call(S,O)&&C.indexOf(O)<0&&(R[O]=S[O]);if(S!=null&&typeof Object.getOwnPropertySymbols=="function")for(var I=0,O=Object.getOwnPropertySymbols(S);I<O.length;I++)C.indexOf(O[I])<0&&Object.prototype.propertyIsEnumerable.call(S,O[I])&&(R[O[I]]=S[O[I]]);return R}const canvasReducer=(S,C)=>{switch(C.type){case GraphCanvasEvent.Paste:{const{position:R}=C;if(!isViewportComplete(S.viewport))return S;const{rect:O}=S.viewport;let I=C.data.nodes;if(R&&O){const L=getRealPointFromClientPoint(R.x,R.y,S.viewport);let B,j;I=I.map((F,V)=>(V===0&&(B=L.x-F.x,j=L.y-F.y),Object.assign(Object.assign({},F),{x:B?F.x-COPIED_NODE_SPACING+B:F.x,y:j?F.y-COPIED_NODE_SPACING+j:F.y,state:GraphNodeStatus.Selected})))}let N=unSelectAllEntity()(S.data.present);return I.forEach(L=>{N=N.insertNode(L)}),C.data.edges.forEach(L=>{N=N.insertEdge(L)}),Object.assign(Object.assign({},S),{data:pushHistory(S.data,N)})}case GraphCanvasEvent.Delete:return S.settings.features.has(GraphFeatures.Delete)?Object.assign(Object.assign({},S),{data:pushHistory(S.data,S.data.present.deleteItems({node:notSelected,edge:notSelected}),unSelectAllEntity())}):S;case GraphCanvasEvent.Undo:return Object.assign(Object.assign({},S),{data:undo(S.data)});case GraphCanvasEvent.Redo:return Object.assign(Object.assign({},S),{data:redo(S.data)});case GraphCanvasEvent.KeyDown:{const R=C.rawEvent.key.toLowerCase();if(S.activeKeys.has(R))return S;const O=new Set(S.activeKeys);return O.add(R),Object.assign(Object.assign({},S),{activeKeys:O})}case GraphCanvasEvent.KeyUp:{const R=C.rawEvent.key.toLowerCase();if(!S.activeKeys.has(R))return S;const O=new Set(S.activeKeys);return O.delete(R),Object.assign(Object.assign({},S),{activeKeys:O})}case GraphCanvasEvent.SetData:return Object.assign(Object.assign({},S),{data:resetUndoStack(C.data)});case GraphCanvasEvent.UpdateData:return Object.assign(Object.assign({},S),{data:C.shouldRecord?pushHistory(S.data,C.updater(S.data.present)):Object.assign(Object.assign({},S.data),{present:C.updater(S.data.present)})});case GraphCanvasEvent.ResetUndoStack:return Object.assign(Object.assign({},S),{data:resetUndoStack(S.data.present)});case GraphCanvasEvent.UpdateSettings:{const R=__rest(C,["type"]);return Object.assign(Object.assign({},S),{settings:Object.assign(Object.assign({},S.settings),R)})}default:return S}};function composeReducers(S){return C=>S.reduceRight((R,O)=>O(R),C)}const VisitPortHelper=S=>{const{neighborPorts:C,data:R}=S,O=reactExports.useRef(null),[I,N]=reactExports.useState(),L=reactExports.useCallback(F=>{F.key==="Escape"&&(F.stopPropagation(),F.preventDefault(),I&&S.onComplete(I))},[I,S]),B=reactExports.useCallback(()=>{},[]),j=reactExports.useCallback(F=>{const V=JSON.parse(F.target.value);V.nodeId&&V.portId&&N({nodeId:V.nodeId,portId:V.portId})},[N]);return reactExports.useEffect(()=>{O.current&&O.current.focus({preventScroll:!0})},[]),jsxRuntimeExports.jsx("select",Object.assign({onKeyDown:L,onBlur:B,ref:O,onChange:j},{children:C.map(F=>{const V=I&&I.portId===F.portId&&I.nodeId===F.nodeId,K=JSON.stringify(F),W=R.nodes.get(F.nodeId);if(!W)return null;const X=W.ports?W.ports.filter(oe=>oe.id===F.portId)[0]:null;if(!X)return null;const J=`${W.ariaLabel||W.name||W.id}: ${X.ariaLabel||X.name||X.id}`;return jsxRuntimeExports.jsx("option",Object.assign({value:K,"aria-selected":V,"aria-label":J},{children:J}),`${F.nodeId}-${F.portId}`)})}))},item=(S=void 0,C=void 0)=>({node:S,port:C}),findDOMElement=(S,{node:C,port:R})=>{var O,I;let N;if(C&&R)N=getPortUid((O=S.dataset.graphId)!==null&&O!==void 0?O:"",C,R);else if(C)N=getNodeUid((I=S.dataset.graphId)!==null&&I!==void 0?I:"",C);else return null;return S.getElementById(N)},focusItem=(S,C,R,O)=>{if(!S.current)return;const I=findDOMElement(S.current,C);I?(R.preventDefault(),R.stopPropagation(),I.focus({preventScroll:!0}),O.trigger({type:GraphCanvasEvent.Navigate,node:C.node,port:C.port,rawEvent:R})):!C.node&&!C.port&&O.trigger({type:GraphCanvasEvent.Navigate,node:C.node,port:C.port,rawEvent:R})},getNextItem=(S,C,R)=>{if(C.ports){const N=(R?C.ports.findIndex(L=>L.id===R.id):-1)+1;if(N<C.ports.length)return item(C,C.ports[N])}const O=C.next&&S.nodes.get(C.next);return O?item(O):item()},getPrevItem=(S,C,R)=>{if(R&&C.ports){const I=C.ports.findIndex(N=>N.id===R.id)-1;return I>=0?item(C,C.ports[I]):item(C)}const O=C.prev&&S.nodes.get(C.prev);return O?item(O,O.ports&&O.ports.length?O.ports[O.ports.length-1]:void 0):item()},nextConnectablePort=(S,C)=>(R,O,I)=>{var N,L,B;let j=getNextItem(R,O,I);for(;!(((N=j.node)===null||N===void 0?void 0:N.id)===O.id&&((L=j.port)===null||L===void 0?void 0:L.id)===(I==null?void 0:I.id));){if(!j.node)j=item(R.getNavigationFirstNode());else if(j.port&&!((B=S.getPortConfig(j.port))===null||B===void 0)&&B.getIsConnectable(Object.assign(Object.assign({},C),{data:R,parentNode:j.node,model:j.port})))return j;j=getNextItem(R,j.node,j.port)}return item()},focusNextPort=(S,C,R,O,I,N)=>{const B=(S.findIndex(F=>F.id===R)+1)%S.length,j=S[B];j&&O.current&&focusItem(O,{node:C,port:j},I,N)},focusPrevPort=(S,C,R,O,I,N)=>{const B=(S.findIndex(F=>F.id===R)-1+S.length)%S.length,j=S[B];j&&O.current&&focusItem(O,{node:C,port:j},I,N)},getFocusNodeHandler=S=>(C,R,O,I,N,L)=>{const B=Array.from(C.nodes.values()).sort(S),j=B.findIndex(V=>V.id===R),F=B[(j+1)%B.length];F&&O.current&&(I.dispatch({type:GraphNodeEvent.Select,nodes:[F.id]}),I.dispatch({type:GraphNodeEvent.Centralize,nodes:[F.id]}),focusItem(O,{node:F,port:void 0},N,L))},focusLeftNode=getFocusNodeHandler((S,C)=>S.x*10+S.y-C.x*10-C.y),focusRightNode=getFocusNodeHandler((S,C)=>C.x*10+C.y-S.x*10-S.y),focusDownNode=getFocusNodeHandler((S,C)=>S.x+S.y*10-C.x-C.y*10),focusUpNode=getFocusNodeHandler((S,C)=>C.x+C.y*10-S.x-S.y*10),goToConnectedPort=(S,C,R,O,I,N)=>{var L;const B=getNeighborPorts(S,C.id,R.id);if(B.length===1&&O.current){const j=S.nodes.get(B[0].nodeId);if(!j)return;const F=(L=j.ports)===null||L===void 0?void 0:L.find(V=>V.id===B[0].portId);if(!F)return;focusItem(O,{node:j,port:F},I,N)}else if(B.length>1&&O.current){const j=K=>{var W;if(reactDomExports.unmountComponentAtNode(F),O.current){const oe=O.current.closest(".react-dag-editor-container");oe&&oe.removeChild(F)}const X=S.nodes.get(K.nodeId);if(!X)return;const J=(W=X.ports)===null||W===void 0?void 0:W.find(oe=>oe.id===K.portId);J&&focusItem(O,{node:X,port:J},I,N)},F=document.createElement("div"),V=O.current.closest(".react-dag-editor-container");V&&V.appendChild(F),F.style.position="fixed",F.style.top="0",reactDomExports.render(jsxRuntimeExports.jsx(VisitPortHelper,{neighborPorts:B,onComplete:j,data:S}),F)}};function defaultGetPortAriaLabel(S,C,R){return R.ariaLabel}function defaultGetNodeAriaLabel(S){return S.ariaLabel}function attachPort(S,C,R){if(!S.connectState)return S;let O=S.data.present;return O=O.updatePort(C,R,updateStatus(add$1(GraphPortStatus.ConnectingAsTarget))),S.connectState.targetNode&&S.connectState.targetPort&&(O=O.updatePort(S.connectState.targetNode,S.connectState.targetPort,updateStatus(remove$1(GraphPortStatus.ConnectingAsTarget)))),Object.assign(Object.assign({},S),{connectState:Object.assign(Object.assign({},S.connectState),{targetNode:C,targetPort:R}),data:Object.assign(Object.assign({},S.data),{present:O})})}function clearAttach(S){if(!S.connectState)return S;let C=S.data.present;const{targetPort:R,targetNode:O}=S.connectState;return O&&R&&(C=C.updatePort(O,R,updateStatus(remove$1(GraphPortStatus.ConnectingAsTarget)))),Object.assign(Object.assign({},S),{connectState:Object.assign(Object.assign({},S.connectState),{targetNode:void 0,targetPort:void 0}),data:Object.assign(Object.assign({},S.data),{present:C})})}const connectingReducer=(S,C)=>{var R,O,I;if(!isViewportComplete(S.viewport))return S;const{rect:N}=S.viewport;switch(C.type){case GraphEdgeEvent.ConnectStart:return Object.assign(Object.assign({},S),{connectState:Object.assign(Object.assign({},EMPTY_CONNECT_STATE),{sourceNode:C.nodeId,sourcePort:C.portId,movingPoint:C.clientPoint?{x:C.clientPoint.x-N.left,y:C.clientPoint.y-N.top}:void 0}),data:Object.assign(Object.assign({},S.data),{present:S.data.present.updatePort(C.nodeId,C.portId,updateStatus(add$1(GraphPortStatus.Connecting)))})});case GraphEdgeEvent.ConnectMove:return S.connectState?Object.assign(Object.assign({},S),{connectState:Object.assign(Object.assign({},S.connectState),{movingPoint:{x:C.clientX-N.left,y:C.clientY-N.top}})}):S;case GraphEdgeEvent.ConnectEnd:if(S.connectState){const{edgeWillAdd:L,isCancel:B}=C,{sourceNode:j,sourcePort:F,targetNode:V,targetPort:K}=S.connectState;let W=S.data.present;if(W=W.updatePort(j,F,updateStatus(replace$3(GraphPortStatus.Default))),!B&&V&&K){let X={source:j,sourcePortId:F,target:V,targetPortId:K,id:v4(),status:GraphEdgeStatus.Default};return L&&(X=L(X,W)),W=W.insertEdge(X).updatePort(V,K,updateStatus(replace$3(GraphPortStatus.Default))),Object.assign(Object.assign({},S),{connectState:void 0,data:pushHistory(S.data,W,unSelectAllEntity())})}return Object.assign(Object.assign({},S),{connectState:void 0,data:Object.assign(Object.assign({},S.data),{present:W})})}return S;case GraphEdgeEvent.ConnectNavigate:if(S.connectState){const L=S.data.present,B=L.nodes.get(S.connectState.sourceNode),j=B==null?void 0:B.getPort(S.connectState.sourcePort),F=S.connectState.targetNode?L.nodes.get(S.connectState.targetNode):void 0,V=S.connectState.targetPort?F==null?void 0:F.getPort(S.connectState.targetPort):void 0;if(!B||!j)return S;const K=nextConnectablePort(S.settings.graphConfig,{anotherNode:B,anotherPort:j})(L,F||B,V);return!K.node||!K.port||K.node.id===B.id&&K.port.id===j.id?S:attachPort(S,K.node.id,K.port.id)}return S;case GraphPortEvent.PointerEnter:if(S.connectState){const{sourceNode:L,sourcePort:B}=S.connectState,j=S.data.present,F=j.nodes.get(C.node.id),V=F==null?void 0:F.getPort(C.port.id),K=j.nodes.get(L),W=K==null?void 0:K.getPort(B);if(F&&V&&K&&W&&isConnectable(S.settings.graphConfig,{parentNode:F,model:V,data:j,anotherPort:W,anotherNode:K}))return attachPort(S,F.id,V.id)}return S;case GraphNodeEvent.PointerEnter:case GraphNodeEvent.PointerMove:if(S.connectState){const{clientX:L,clientY:B}=C.rawEvent,{sourceNode:j,sourcePort:F}=S.connectState,V=S.data.present,K=V.nodes.get(C.node.id),W=V.nodes.get(j),X=W==null?void 0:W.getPort(F);if(K&&W&&X){const J=getNearestConnectablePort({parentNode:K,clientX:L,clientY:B,graphConfig:S.settings.graphConfig,data:S.data.present,viewport:S.viewport,anotherPort:X,anotherNode:W});return J?attachPort(S,K.id,J.id):S}}return S;case GraphNodeEvent.PointerLeave:return((R=S.connectState)===null||R===void 0?void 0:R.targetNode)===C.node.id?clearAttach(S):S;case GraphPortEvent.PointerLeave:return((O=S.connectState)===null||O===void 0?void 0:O.targetNode)===C.node.id&&((I=S.connectState)===null||I===void 0?void 0:I.targetPort)===C.port.id?clearAttach(S):S;default:return S}},contextMenuReducer=(S,C)=>{let R=S.contextMenuPosition;switch(C.type){case GraphCanvasEvent.ContextMenu:case GraphNodeEvent.ContextMenu:case GraphEdgeEvent.ContextMenu:case GraphPortEvent.ContextMenu:{const O=C.rawEvent;O.button===MouseEventButton.Secondary&&(R={x:O.clientX,y:O.clientY})}break;case GraphCanvasEvent.Click:case GraphNodeEvent.Click:case GraphEdgeEvent.Click:case GraphPortEvent.Click:R=void 0;break;case GraphContextMenuEvent.Open:R={x:C.x,y:C.y};break;case GraphContextMenuEvent.Close:R=void 0;break}return S.contextMenuPosition===R?S:Object.assign(Object.assign({},S),{contextMenuPosition:R})},edgeReducer=(S,C)=>{switch(C.type){case GraphEdgeEvent.DoubleClick:return S.settings.features.has(GraphFeatures.EditEdge)?Object.assign(Object.assign({},S),{data:Object.assign(Object.assign({},S.data),{present:S.data.present.updateEdge(C.edge.id,updateStatus(replace$3(GraphEdgeStatus.Editing)))})}):S;case GraphEdgeEvent.MouseEnter:return Object.assign(Object.assign({},S),{data:Object.assign(Object.assign({},S.data),{present:S.data.present.updateEdge(C.edge.id,updateStatus(add$1(GraphEdgeStatus.Activated)))})});case GraphEdgeEvent.MouseLeave:return Object.assign(Object.assign({},S),{data:Object.assign(Object.assign({},S.data),{present:S.data.present.updateEdge(C.edge.id,updateStatus(remove$1(GraphEdgeStatus.Activated)))})});case GraphEdgeEvent.Click:case GraphEdgeEvent.ContextMenu:return Object.assign(Object.assign({},S),{data:Object.assign(Object.assign({},S.data),{present:unSelectAllEntity()(S.data.present).updateEdge(C.edge.id,updateStatus(add$1(GraphEdgeStatus.Selected)))})});case GraphEdgeEvent.Add:return Object.assign(Object.assign({},S),{data:pushHistory(S.data,S.data.present.insertEdge(C.edge))});default:return S}},getAlignmentLines=(S,C,R,O=2)=>{const I=getDummyDraggingNode(S),N=getClosestNodes(I,S,C,R,O);return getLines(I,N,S.length)},getAutoAlignDisplacement=(S,C,R,O)=>{let I=1/0,N=0;const L=getDummyDraggingNode(C),B=O==="x"?L.width||0:L.height||0;return S.forEach(j=>{let F;if(O==="x"&&j.x1===j.x2)F=j.x1;else if(O==="y"&&j.y1===j.y2)F=j.y1;else return;const V=L[O]-F,K=L[O]+(B||0)/2-F,W=L[O]+(B||0)-F;Math.abs(V)<I&&(I=Math.abs(V),N=V>0?-I:I),Math.abs(K)<I&&(I=Math.abs(K),N=K>0?-I:I),Math.abs(W)<I&&(I=Math.abs(W),N=W>0?-I:I)}),N},getMinCoordinate=(S,C)=>{if(S.length)return Math.min(...S.map(R=>R[C]))},getMaxCoordinate=(S,C)=>{if(S.length)return Math.max(...S.map(R=>R[C]+(C==="y"?R.height||0:R.width||0)))},setSizeForNode=(S,C)=>Object.assign(Object.assign({},S),getNodeSize(S,C)),getBoundingBoxOfNodes=S=>{let C=1/0,R=1/0,O=-1/0,I=-1/0;return S.forEach(N=>{const L=N.x,B=N.y,j=N.x+(N.width||0),F=N.y+(N.height||0);L<C&&(C=L),B<R&&(R=B),j>O&&(O=j),F>I&&(I=F)}),{x:C,y:R,width:O-C,height:I-R}},getDummyDraggingNode=S=>{const{x:C,y:R,width:O,height:I}=getBoundingBoxOfNodes(S);return{id:v4(),x:C,y:R,width:O,height:I}},getClosestNodes=(S,C,R,O,I=2)=>{const N=[],L=[],{x:B,y:j,width:F=0,height:V=0}=S;let K=I,W=I;return R.forEach(X=>{if(C.find(me=>me.id===X.id))return;const J=setSizeForNode(X,O),{width:oe=0,height:pe=0}=J;[B,B+F/2,B+F].forEach((me,xe)=>{N[xe]||(N[xe]={}),N[xe].closestNodes||(N[xe].closestNodes=[]),[J.x,J.x+oe/2,J.x+oe].forEach(Ae=>{var ge;const Te=Math.abs(me-Ae);Te<=K&&((ge=N[xe].closestNodes)===null||ge===void 0||ge.push(J),N[xe].alignCoordinateValue=Ae,K=Te)})}),[j,j+V/2,j+V].forEach((me,xe)=>{L[xe]||(L[xe]={}),L[xe].closestNodes||(L[xe].closestNodes=[]),[J.y,J.y+pe/2,J.y+pe].forEach(Ae=>{var ge;const Te=Math.abs(me-Ae);Te<=W&&((ge=L[xe].closestNodes)===null||ge===void 0||ge.push(J),L[xe].alignCoordinateValue=Ae,W=Te)})})}),{closestX:N,closestY:L}},getLines=(S,C,R=1)=>{const O=[],I=[],N=C.closestX,L=C.closestY;return N.forEach((B,j)=>{var F;if(B.alignCoordinateValue===void 0||j===1&&(O.length||R>1))return;const V=[],K=B.alignCoordinateValue;(F=B.closestNodes)===null||F===void 0||F.forEach(J=>{(J.x===K||J.x+(J.width||0)/2===K||J.x+(J.width||0)===K)&&V.push(J)});const W=getMinCoordinate([S,...V],"y"),X=getMaxCoordinate([S,...V],"y");W!==void 0&&X!==void 0&&O.push({x1:K,y1:W,x2:K,y2:X,visible:!0})}),L.forEach((B,j)=>{var F;if(B.alignCoordinateValue===void 0||j===1&&(I.length||R>1))return;const V=[],K=B.alignCoordinateValue;(F=B.closestNodes)===null||F===void 0||F.forEach(J=>{(J.y===K||J.y+(J.height||0)/2===K||J.y+(J.height||0)===K)&&V.push(J)});const W=getMinCoordinate([S,...V],"x"),X=getMaxCoordinate([S,...V],"x");W!==void 0&&X!==void 0&&I.push({x1:W,y1:K,x2:X,y2:K,visible:!0})}),[...O,...I]};function pipe(...S){return S.reduceRight((C,R)=>O=>C(R(O)),identical)}const getDelta=(S,C,R)=>R<S?-10:R>C?10:0;function getSelectedNodes(S,C){const R=[];return S.nodes.forEach(O=>{isSelected(O)&&R.push(Object.assign({id:O.id,x:O.x,y:O.y},getNodeSize(O,C)))}),R}function dragNodeHandler(S,C){if(!isViewportComplete(S.viewport))return S;const R=X=>Math.max(X,getScaleLimit(L,S.settings)),O=C.rawEvent,{rect:I}=S.viewport,N=Object.assign({},S),L=S.data.present,B=getDelta(I.left,I.right,O.clientX),j=getDelta(I.top,I.bottom,O.clientY),F=B!==0||j!==0?.999:1,V=B!==0||B!==0?pipe(pan(-B,-j),zoom({scale:F,anchor:getRelativePoint(I,O),direction:Direction$1.XY,limitScale:R}))(S.viewport):S.viewport,K=getPointDeltaByClientDelta(C.dx+B*F,C.dy+j*F,V.transformMatrix),W=Object.assign(Object.assign({},S.dummyNodes),{dx:S.dummyNodes.dx+K.x,dy:S.dummyNodes.dy+K.y,isVisible:C.isVisible});if(C.isAutoAlignEnable){const X=getRenderedNodes(L.nodes,S.viewport);if(X.length<C.autoAlignThreshold){const J=W.nodes.map(pe=>Object.assign(Object.assign({},pe),{x:pe.x+W.dx,y:pe.y+W.dy})),oe=getAlignmentLines(J,X,S.settings.graphConfig,S.viewport.transformMatrix[0]>.3?2:5);if(oe.length){const pe=getAutoAlignDisplacement(oe,J,S.settings.graphConfig,"x"),me=getAutoAlignDisplacement(oe,J,S.settings.graphConfig,"y");W.alignedDX=W.dx+pe,W.alignedDY=W.dy+me}else W.alignedDX=void 0,W.alignedDY=void 0;N.alignmentLines=oe}else W.alignedDX=void 0,W.alignedDY=void 0}return N.dummyNodes=W,N.viewport=V,N}function handleDraggingNewNode(S,C){if(!S.settings.features.has(GraphFeatures.AutoAlign))return S;const R=S.data.present,O=getRenderedNodes(R.nodes,S.viewport),I=getAlignmentLines([C.node],O,S.settings.graphConfig,S.viewport.transformMatrix[0]>.3?2:5);return Object.assign(Object.assign({},S),{alignmentLines:I})}function dragStart(S,C){let R=S.data.present;const O=R.nodes.get(C.node.id);if(!O)return S;let I;return C.isMultiSelect?(R=R.selectNodes(N=>N.id===C.node.id||isSelected(N)),I=getSelectedNodes(R,S.settings.graphConfig)):isSelected(O)?I=getSelectedNodes(R,S.settings.graphConfig):I=[Object.assign({id:C.node.id,x:C.node.x,y:C.node.y},getNodeSize(C.node,S.settings.graphConfig))],Object.assign(Object.assign({},S),{data:Object.assign(Object.assign({},S.data),{present:R}),dummyNodes:Object.assign(Object.assign({},emptyDummyNodes()),{isVisible:!1,nodes:I})})}function dragEnd(S,C){let R=S.data.present;if(C.isDragCanceled)return Object.assign(Object.assign({},S),{alignmentLines:[],dummyNodes:emptyDummyNodes()});const{dx:O,dy:I}=S.dummyNodes;return R=R.updateNodesPositionAndSize(S.dummyNodes.nodes.map(N=>Object.assign(Object.assign({},N),{x:N.x+O,y:N.y+I,width:void 0,height:void 0}))),Object.assign(Object.assign({},S),{alignmentLines:[],dummyNodes:emptyDummyNodes(),data:pushHistory(S.data,R,unSelectAllEntity())})}function locateNode(S,C){const R=C.data.present;if(!isViewportComplete(C.viewport)||!S.nodes.length)return C;if(S.nodes.length===1){const B=S.nodes[0],j=R.nodes.get(B);if(!j)return C;const{width:F,height:V}=getNodeSize(j,C.settings.graphConfig),K=S.type===GraphNodeEvent.Centralize?j.x+F/2:j.x,W=S.type===GraphNodeEvent.Centralize?j.y+V/2:j.y,{x:X,y:J}=transformPoint(K,W,C.viewport.transformMatrix),oe=S.type===GraphNodeEvent.Locate?S.position:void 0;return Object.assign(Object.assign({},C),{viewport:scrollIntoView$1(X,J,C.viewport.rect,!0,oe)(C.viewport)})}const{minNodeX:O,minNodeY:I,maxNodeX:N,maxNodeY:L}=getContentArea$1(R,C.settings.graphConfig,new Set(S.nodes));return Object.assign(Object.assign({},C),{viewport:focusArea(O,I,N,L,C.viewport)})}const nodeReducer=(S,C)=>{const R=S.data.present;switch(C.type){case GraphNodeEvent.ResizingStart:return Object.assign(Object.assign({},S),{dummyNodes:Object.assign(Object.assign({},emptyDummyNodes()),{isVisible:!0,nodes:getSelectedNodes(R,S.settings.graphConfig)})});case GraphNodeEvent.Resizing:return Object.assign(Object.assign({},S),{dummyNodes:Object.assign(Object.assign({},S.dummyNodes),{dx:C.dx,dy:C.dy,dWidth:C.dWidth,dHeight:C.dHeight})});case GraphNodeEvent.ResizingEnd:{const{dx:O,dy:I,dWidth:N,dHeight:L}=S.dummyNodes;return Object.assign(Object.assign({},S),{dummyNodes:emptyDummyNodes(),data:pushHistory(S.data,R.updateNodesPositionAndSize(S.dummyNodes.nodes.map(B=>Object.assign(Object.assign({},B),{x:B.x+O,y:B.y+I,width:B.width+N,height:B.height+L}))),unSelectAllEntity())})}case GraphNodeEvent.DragStart:return dragStart(S,C);case GraphNodeEvent.Drag:return dragNodeHandler(S,C);case GraphNodeEvent.DragEnd:return dragEnd(S,C);case GraphNodeEvent.PointerEnter:switch(S.behavior){case GraphBehavior.Default:return Object.assign(Object.assign({},S),{data:Object.assign(Object.assign({},S.data),{present:R.updateNode(C.node.id,updateStatus(add$1(GraphNodeStatus.Activated)))})});default:return S}case GraphNodeEvent.PointerLeave:switch(S.behavior){case GraphBehavior.Default:case GraphBehavior.Connecting:return Object.assign(Object.assign({},S),{data:Object.assign(Object.assign({},S.data),{present:R.updateNode(C.node.id,updateStatus(remove$1(GraphNodeStatus.Activated)))})});default:return S}case GraphCanvasEvent.DraggingNodeFromItemPanel:return handleDraggingNewNode(S,C);case GraphCanvasEvent.DraggingNodeFromItemPanelEnd:return C.node?Object.assign(Object.assign({},S),{alignmentLines:[],data:pushHistory(S.data,S.data.present.insertNode(Object.assign(Object.assign({},C.node),{status:GraphNodeStatus.Selected})),unSelectAllEntity())}):Object.assign(Object.assign({},S),{alignmentLines:[]});case GraphNodeEvent.Centralize:case GraphNodeEvent.Locate:return locateNode(C,S);case GraphNodeEvent.Add:return Object.assign(Object.assign({},S),{data:pushHistory(S.data,R.insertNode(C.node))});case GraphNodeEvent.DoubleClick:return Object.assign(Object.assign({},S),{data:Object.assign(Object.assign({},S.data),{present:S.data.present.updateNode(C.node.id,updateStatus(add$1(GraphNodeStatus.Editing)))})});default:return S}},portReducer=(S,C)=>{switch(C.type){case GraphPortEvent.Focus:case GraphPortEvent.PointerEnter:return Object.assign(Object.assign({},S),{data:Object.assign(Object.assign({},S.data),{present:S.data.present.updatePort(C.node.id,C.port.id,updateStatus(add$1(GraphPortStatus.Activated)))})});case GraphPortEvent.Blur:case GraphPortEvent.PointerLeave:return Object.assign(Object.assign({},S),{data:Object.assign(Object.assign({},S.data),{present:S.data.present.updatePort(C.node.id,C.port.id,updateStatus(remove$1(GraphPortStatus.Activated)))})});case GraphPortEvent.Click:case GraphPortEvent.ContextMenu:return Object.assign(Object.assign({},S),{data:Object.assign(Object.assign({},S.data),{present:unSelectAllEntity()(S.data.present).updatePort(C.node.id,C.port.id,updateStatus(add$1(GraphPortStatus.Selected)))})});default:return S}},selectNodeBySelectBox=(S,C,R,O)=>{if(!R.width||!R.height)return O;const I=Math.min(R.startX,R.startX+R.width),N=Math.max(R.startX,R.startX+R.width),L=Math.min(R.startY,R.startY+R.height),B=Math.max(R.startY,R.startY+R.height),j=reverseTransformPoint(I,L,C),F=reverseTransformPoint(N,B,C),V={minX:j.x,minY:j.y,maxX:F.x,maxY:F.y};return O.selectNodes(K=>{const{width:W,height:X}=getNodeSize(K,S),J={minX:K.x,minY:K.y,maxX:K.x+W,maxY:K.y+X};return checkRectIntersect(V,J)})};function handleNavigate(S,C){let R=unSelectAllEntity()(S.data.present);if(C.node&&C.port)R=R.updatePort(C.node.id,C.port.id,updateStatus(add$1(GraphPortStatus.Selected)));else if(C.node){const O=C.node.id;R=R.selectNodes(I=>I.id===O)}return Object.assign(Object.assign({},S),{data:Object.assign(Object.assign({},S.data),{present:R})})}const selectionReducer=(S,C)=>{var R,O;const I=S.data.present,N=S.settings.features.has(GraphFeatures.LassoSelect);switch(C.type){case GraphCanvasEvent.Click:case GraphCanvasEvent.ResetSelection:case GraphCanvasEvent.ContextMenu:return Object.assign(Object.assign({},S),{data:Object.assign(Object.assign({},S.data),{present:unSelectAllEntity()(I)})});case GraphNodeEvent.Click:case GraphNodeEvent.ContextMenu:return Object.assign(Object.assign({},S),{data:Object.assign(Object.assign({},S.data),{present:nodeSelection(C.rawEvent,C.node)(I)})});case GraphCanvasEvent.SelectStart:{if(!isViewportComplete(S.viewport))return S;const L=getRelativePoint(S.viewport.rect,C.rawEvent);return Object.assign(Object.assign({},S),{data:Object.assign(Object.assign({},S.data),{present:unSelectAllEntity()(I)}),selectBoxPosition:{startX:L.x,startY:N?0:L.y,width:0,height:0}})}case GraphCanvasEvent.SelectMove:return S.behavior!==GraphBehavior.MultiSelect?S:Object.assign(Object.assign({},S),{selectBoxPosition:Object.assign(Object.assign({},S.selectBoxPosition),{width:S.selectBoxPosition.width+C.dx,height:N?(O=(R=S.viewport.rect)===null||R===void 0?void 0:R.height)!==null&&O!==void 0?O:S.selectBoxPosition.height:S.selectBoxPosition.height+C.dy})});case GraphCanvasEvent.SelectEnd:return Object.assign(Object.assign({},S),{selectBoxPosition:emptySelectBoxPosition(),data:Object.assign(Object.assign({},S.data),{present:selectNodeBySelectBox(S.settings.graphConfig,S.viewport.transformMatrix,S.selectBoxPosition,I)})});case GraphCanvasEvent.UpdateNodeSelectionBySelectBox:return S.behavior!==GraphBehavior.MultiSelect?S:Object.assign(Object.assign({},S),{data:Object.assign(Object.assign({},S.data),{present:selectNodeBySelectBox(S.settings.graphConfig,S.viewport.transformMatrix,S.selectBoxPosition,I)})});case GraphCanvasEvent.Navigate:return handleNavigate(S,C);case GraphNodeEvent.SelectAll:return Object.assign(Object.assign({},S),{data:Object.assign(Object.assign({},S.data),{present:I.selectNodes(()=>!0)})});case GraphNodeEvent.Select:{const L=new Set(C.nodes);return Object.assign(Object.assign({},S),{data:Object.assign(Object.assign({},S.data),{present:I.selectNodes(B=>L.has(B.id))})})}default:return S}};function getRectCenter(S){return{x:S.width/2,y:S.height/2}}function resetViewport(S,C,R,O){if(!isViewportComplete(S))return S;if(!O.ensureNodeVisible)return Object.assign(Object.assign({},S),{transformMatrix:EMPTY_TRANSFORM_MATRIX});const{nodes:I,groups:N}=C;if(I.size===0)return Object.assign(Object.assign({},S),{transformMatrix:EMPTY_TRANSFORM_MATRIX});const L=X=>isRectVisible(X,S),B=I.map(X=>getNodeRect(X,R));if(B.find(L))return Object.assign(Object.assign({},S),{transformMatrix:EMPTY_TRANSFORM_MATRIX});const F=N.map(X=>getGroupRect(X,I,R));if(F.find(L))return Object.assign(Object.assign({},S),{transformMatrix:EMPTY_TRANSFORM_MATRIX});let K=B.first();const W=X=>{K.y>X.y&&(K=X)};return B.forEach(W),F.forEach(W),Object.assign(Object.assign({},S),{transformMatrix:[1,0,0,1,-K.x,-K.y]})}function zoomToFit(S,C,R,O){if(!isViewportComplete(S))return S;const{graphConfig:I,nodeMaxVisibleSize:N,nodeMinVisibleSize:L}=R,B=getZoomFitMatrix(Object.assign(Object.assign({},O),{data:C,graphConfig:I,rect:S.rect,nodeMaxVisibleSize:N,nodeMinVisibleSize:L}));return Object.assign(Object.assign({},S),{transformMatrix:B})}const reducer=(S,C,R,O)=>{var I,N,L,B;const{graphConfig:j,canvasBoundaryPadding:F,features:V}=O,K=W=>Math.max(W,getScaleLimit(R,O));switch(C.type){case GraphCanvasEvent.ViewportResize:return Object.assign(Object.assign({},S),{rect:C.viewportRect});case GraphCanvasEvent.Zoom:return isViewportComplete(S)?zoom({scale:C.scale,anchor:(I=C.anchor)!==null&&I!==void 0?I:getRectCenter(S.rect),direction:C.direction,limitScale:K})(S):S;case GraphScrollBarEvent.Scroll:case GraphCanvasEvent.MouseWheelScroll:case GraphCanvasEvent.Pan:case GraphCanvasEvent.Drag:{if(!isViewportComplete(S))return S;const{transformMatrix:W,rect:X}=S;let{dx:J,dy:oe}=C;const pe=V.has(GraphFeatures.LimitBoundary),me=(L=(N=R.groups)===null||N===void 0?void 0:N[0])===null||L===void 0?void 0:L.padding;if(pe){const{minX:xe,maxX:Ae,minY:ge,maxY:Te}=getOffsetLimit({data:R,graphConfig:j,rect:X,transformMatrix:W,canvasBoundaryPadding:F,groupPadding:me});J=clamp$1(xe-W[4],Ae-W[4],J),oe=clamp$1(ge-W[5],Te-W[5],oe)}return pan(J,oe)(S)}case GraphCanvasEvent.Pinch:{const{dx:W,dy:X,scale:J,anchor:oe}=C;return pipe(pan(W,X),zoom({scale:J,anchor:oe,limitScale:K}))(S)}case GraphMinimapEvent.Pan:return minimapPan(C.dx,C.dy)(S);case GraphCanvasEvent.ResetViewport:return resetViewport(S,R,j,C);case GraphCanvasEvent.ZoomTo:return isViewportComplete(S)?zoomTo({scale:C.scale,anchor:(B=C.anchor)!==null&&B!==void 0?B:getRectCenter(S.rect),direction:C.direction,limitScale:K})(S):S;case GraphCanvasEvent.ZoomToFit:return zoomToFit(S,R,O,C);case GraphCanvasEvent.ScrollIntoView:if(S.rect){const{x:W,y:X}=transformPoint(C.x,C.y,S.transformMatrix);return scrollIntoView$1(W,X,S.rect,!0)(S)}return S;default:return S}},viewportReducer=(S,C)=>{const R=reducer(S.viewport,C,S.data.present,S.settings);return R===S.viewport?S:Object.assign(Object.assign({},S),{viewport:R})},builtinReducer=composeReducers([behaviorReducer,viewportReducer,nodeReducer,portReducer,edgeReducer,canvasReducer,connectingReducer,selectionReducer,contextMenuReducer].map(S=>C=>(R,O)=>C(S(R,O),O)));function getGraphReducer(S=void 0,C=identical){return(S?composeReducers([S,builtinReducer]):builtinReducer)(C)}function useGraphReducer(S,C){const R=reactExports.useMemo(()=>getGraphReducer(C),[C]),[O,I]=reactExports.useReducer(R,S,createGraphState),N=useConst(()=>[]),L=reactExports.useRef(O),B=reactExports.useCallback((j,F)=>{F&&N.push(F),I(j)},[N]);return reactExports.useEffect(()=>{const j=L.current;j!==O&&(L.current=O,reactDomExports.unstable_batchedUpdates(()=>{N.forEach(F=>{try{F(O,j)}catch(V){console.error(V)}}),N.length=0}))},[O]),[O,B]}class MouseMoveEventProvider{constructor(C){this.target=C}off(C,R){switch(C){case"move":this.target.removeEventListener("mousemove",R);break;case"end":this.target.removeEventListener("mouseup",R);break}return this}on(C,R){switch(C){case"move":this.target.addEventListener("mousemove",R);break;case"end":this.target.addEventListener("mouseup",R);break}return this}}const useGetMouseDownOnAnchor=(S,C)=>{const R=useGraphController();return reactExports.useCallback(O=>I=>{I.preventDefault(),I.stopPropagation(),C.trigger({type:GraphNodeEvent.ResizingStart,rawEvent:I,node:S});const N=new DragController(new MouseMoveEventProvider(R.getGlobalEventTarget()),defaultGetPositionFromEvent);N.onMove=({totalDX:L,totalDY:B,e:j})=>{C.trigger(Object.assign({type:GraphNodeEvent.Resizing,rawEvent:j,node:S,dx:0,dy:0,dWidth:0,dHeight:0},O(L,B)))},N.onEnd=({e:L})=>{C.trigger({type:GraphNodeEvent.ResizingEnd,rawEvent:L,node:S})},C.trigger({type:GraphNodeEvent.ResizingStart,rawEvent:I,node:S}),N.start(I.nativeEvent)},[C,R,S])};class PointerEventProvider{constructor(C,R=null){this.eventEmitter=new eventemitter3Exports.EventEmitter,this.onMove=O=>{(this.pointerId===null||this.pointerId===O.pointerId)&&this.eventEmitter.emit("move",O)},this.onUp=O=>{(this.pointerId===null||this.pointerId===O.pointerId)&&this.eventEmitter.emit("end",O)},this.target=C,this.pointerId=R}off(C,R){return this.eventEmitter.off(C,R),this.ensureRemoveListener(C),this}on(C,R){return this.ensureAddListener(C),this.eventEmitter.on(C,R),this}ensureAddListener(C){if(!this.eventEmitter.listeners(C).length)switch(C){case"move":this.target.addEventListener("pointermove",this.onMove);break;case"end":this.target.addEventListener("pointerup",this.onUp);break}}ensureRemoveListener(C){if(!this.eventEmitter.listeners(C).length)switch(C){case"move":this.target.removeEventListener("pointermove",this.onMove);break;case"end":this.target.removeEventListener("pointerup",this.onUp);break}}}const withSimulatedClick=(S,C)=>({totalDX:R,totalDY:O,e:I})=>{var N;const{eventChannel:L,dragThreshold:B,containerRef:j}=S,F=[];F.push({type:C,rawEvent:I}),I.target instanceof Node&&(!((N=j.current)===null||N===void 0)&&N.contains(I.target))&&isWithinThreshold(R,O,B)&&F.push({type:GraphCanvasEvent.Click,rawEvent:I}),L.batch(F)},dragMultiSelect=(S,C)=>{const{getPositionFromEvent:R,graphController:O,eventChannel:I}=C,N=new DragController(new MouseMoveEventProvider(O.getGlobalEventTarget()),R);N.onMove=({dx:L,dy:B,e:j})=>{I.trigger({type:GraphCanvasEvent.SelectMove,rawEvent:j,dx:L,dy:B})},N.onEnd=withSimulatedClick(C,GraphCanvasEvent.SelectEnd),I.trigger({type:GraphCanvasEvent.SelectStart,rawEvent:S}),N.start(S)},dragPan=(S,C)=>{const{getPositionFromEvent:R,graphController:O,eventChannel:I}=C,N=new DragController(new MouseMoveEventProvider(O.getGlobalEventTarget()),R);N.onMove=({dx:L,dy:B,e:j})=>{I.trigger({type:GraphCanvasEvent.Drag,rawEvent:j,dx:L,dy:B})},N.onEnd=withSimulatedClick(C,GraphCanvasEvent.DragEnd),N.start(S),I.trigger({type:GraphCanvasEvent.DragStart,rawEvent:S})},onContainerMouseDown=(S,C)=>{var R;if(S.preventDefault(),S.stopPropagation(),S.button!==MouseEventButton.Primary)return;const{canvasMouseMode:O,isPanDisabled:I,isMultiSelectDisabled:N,state:L,isLassoSelectEnable:B,graphController:j}=C,F=O===CanvasMouseMode.Pan&&!S.ctrlKey&&!S.shiftKey&&!S.metaKey||((R=L.activeKeys)===null||R===void 0?void 0:R.has(" "));!I&&F?dragPan(S.nativeEvent,C):!N||B&&!S.ctrlKey&&!S.metaKey?dragMultiSelect(S.nativeEvent,C):j.canvasClickOnce=!0};function isMouseButNotLeft(S){return S.pointerType==="mouse"&&S.button!==MouseEventButton.Primary}const onNodePointerDown=(S,C,R)=>{S.preventDefault();const{svgRef:O,isNodesDraggable:I,getPositionFromEvent:N,isClickNodeToSelectDisabled:L,eventChannel:B,dragThreshold:j,rectRef:F,isAutoAlignEnable:V,autoAlignThreshold:K,graphController:W}=R;I&&S.stopPropagation();const X=isMouseButNotLeft(S);if(L||X)return;O.current&&O.current.focus({preventScroll:!0});const J=checkIsMultiSelect(S),oe=new DragNodeController(new PointerEventProvider(W.getGlobalEventTarget(),S.pointerId),N,F);oe.onMove=({dx:pe,dy:me,totalDX:xe,totalDY:Ae,e:ge})=>{I&&B.trigger({type:GraphNodeEvent.Drag,node:C,dx:pe,dy:me,rawEvent:ge,isVisible:!isWithinThreshold(xe,Ae,j),isAutoAlignEnable:V,autoAlignThreshold:K})},oe.onEnd=({totalDX:pe,totalDY:me,e:xe})=>{var Ae,ge;W.pointerId=null;const Te=isWithinThreshold(pe,me,j);if((Te||!I)&&(W.nodeClickOnce=C),B.trigger({type:GraphNodeEvent.DragEnd,node:C,rawEvent:xe,isDragCanceled:Te}),Te){const we=new MouseEvent("click",xe);(ge=(Ae=S.currentTarget)!==null&&Ae!==void 0?Ae:S.target)===null||ge===void 0||ge.dispatchEvent(we)}},W.pointerId=S.pointerId,S.target instanceof Element&&S.pointerType!=="mouse"&&S.target.releasePointerCapture(S.pointerId),B.trigger({type:GraphNodeEvent.DragStart,node:C,rawEvent:S,isMultiSelect:J}),oe.start(S.nativeEvent)},useCanvasKeyboardEventHandlers=S=>{const{featureControl:C,graphConfig:R,setCurHoverNode:O,setCurHoverPort:I,eventChannel:N}=S,{isDeleteDisabled:L,isPasteDisabled:B,isUndoEnabled:j}=C;return reactExports.useMemo(()=>{const F=new Map,V=()=>ge=>{ge.preventDefault(),ge.stopPropagation(),!L&&(N.trigger({type:GraphCanvasEvent.Delete}),O(void 0),I(void 0))};F.set("delete",V()),F.set("backspace",V());const K=ge=>{metaControl(ge)&&(ge.preventDefault(),ge.stopPropagation(),N.trigger({type:GraphCanvasEvent.Copy}))};F.set("c",K);const W=ge=>{if(metaControl(ge)){if(ge.preventDefault(),ge.stopPropagation(),B)return;const Te=R.getClipboard().read();Te&&N.trigger({type:GraphCanvasEvent.Paste,data:Te})}};F.set("v",W);const X=ge=>{j&&metaControl(ge)&&(ge.preventDefault(),ge.stopPropagation(),N.trigger({type:GraphCanvasEvent.Undo}))};j&&F.set("z",X);const J=ge=>{j&&metaControl(ge)&&(ge.preventDefault(),ge.stopPropagation(),N.trigger({type:GraphCanvasEvent.Redo}))};j&&F.set("y",J);const oe=ge=>{metaControl(ge)&&(ge.preventDefault(),ge.stopPropagation(),N.trigger({type:GraphNodeEvent.SelectAll}))};F.set("a",oe);const pe=ge=>{ge.preventDefault(),ge.stopPropagation()},me=ge=>{ge.preventDefault(),ge.stopPropagation()},xe=ge=>{ge.preventDefault(),ge.stopPropagation()},Ae=ge=>{ge.preventDefault(),ge.stopPropagation()};return F.set(" ",pe),F.set("control",me),F.set("meta",xe),F.set("shift",Ae),ge=>{if(ge.repeat)return;const Te=ge.key.toLowerCase(),we=F.get(Te);we&&we.call(null,ge)}},[N,R,L,B,j,O,I])};let prevMouseDownPortId,prevMouseDownPortTime;function useEventChannel({props:S,dispatch:C,rectRef:R,svgRef:O,containerRef:I,featureControl:N,graphConfig:L,setFocusedWithoutMouse:B,setCurHoverNode:j,setCurHoverPort:F,eventChannel:V,updateViewport:K,graphController:W}){const{dragThreshold:X=10,autoAlignThreshold:J=DEFAULT_AUTO_ALIGN_THRESHOLD,getPositionFromEvent:oe=defaultGetPositionFromEvent,canvasMouseMode:pe,edgeWillAdd:me}=S,{isNodesDraggable:xe,isAutoAlignEnable:Ae,isClickNodeToSelectDisabled:ge,isPanDisabled:Te,isMultiSelectDisabled:we,isLassoSelectEnable:ke,isConnectDisabled:Be,isPortHoverViewEnable:Ie,isNodeEditDisabled:je,isA11yEnable:Ke}=N,Je=reactExports.useMemo(()=>animationFramed(C),[C]),Xe=useCanvasKeyboardEventHandlers({featureControl:N,eventChannel:V,graphConfig:L,setCurHoverNode:j,setCurHoverPort:F}),ot=bt=>{const It=W.getData();if(It.nodes.size>0&&O.current){const Ht=It.head&&It.nodes.get(It.head);Ht&&focusItem(O,{node:Ht,port:void 0},bt,V)}},tt=bt=>{switch(bt.type){case GraphEdgeEvent.ConnectStart:case GraphEdgeEvent.ConnectMove:case GraphEdgeEvent.ConnectEnd:case GraphEdgeEvent.ConnectNavigate:case GraphEdgeEvent.Click:case GraphEdgeEvent.MouseEnter:case GraphEdgeEvent.MouseLeave:case GraphEdgeEvent.DoubleClick:C(bt);break;case GraphEdgeEvent.ContextMenu:bt.rawEvent.stopPropagation(),bt.rawEvent.preventDefault(),C(bt);break}},Ue=bt=>{var It,Ht;switch(bt.type){case GraphCanvasEvent.ViewportResize:case GraphCanvasEvent.Drag:case GraphCanvasEvent.MouseWheelScroll:case GraphCanvasEvent.Zoom:case GraphCanvasEvent.Pinch:case GraphCanvasEvent.Click:case GraphCanvasEvent.SelectStart:case GraphCanvasEvent.SelectMove:case GraphCanvasEvent.SelectEnd:case GraphCanvasEvent.ResetSelection:case GraphCanvasEvent.Navigate:case GraphCanvasEvent.Paste:case GraphCanvasEvent.Undo:case GraphCanvasEvent.Redo:case GraphCanvasEvent.Delete:case GraphCanvasEvent.KeyUp:case GraphCanvasEvent.DraggingNodeFromItemPanelStart:case GraphCanvasEvent.DraggingNodeFromItemPanel:case 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tr=W.getData(),{node:wr,port:xr}=bt;switch(Kt.key){case"Tab":if(Ke&&W.getBehavior()===GraphBehavior.Connecting)Kt.preventDefault(),Kt.stopPropagation(),V.trigger({type:GraphEdgeEvent.ConnectNavigate,rawEvent:Kt});else{const Vr=Kt.shiftKey?getPrevItem(tr,wr,xr):getNextItem(tr,wr,xr);focusItem(O,Vr,Kt,V)}break;case"ArrowUp":case"ArrowLeft":Kt.preventDefault(),Kt.stopPropagation(),focusPrevPort((It=wr.ports)!==null&&It!==void 0?It:[],wr,xr.id,O,Kt,V);break;case"ArrowDown":case"ArrowRight":Kt.preventDefault(),Kt.stopPropagation(),focusNextPort((Ht=wr.ports)!==null&&Ht!==void 0?Ht:[],wr,xr.id,O,Kt,V);break;case"g":Kt.preventDefault(),Kt.stopPropagation(),goToConnectedPort(tr,wr,xr,O,Kt,V);break;case"Escape":W.getBehavior()===GraphBehavior.Connecting&&(Kt.preventDefault(),Kt.stopPropagation(),O.current&&((kt=findDOMElement(O.current,{node:wr,port:xr}))===null||kt===void 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iteratorValue(N,O?K:j++,W,F)}})},I}function countByFactory(S,C,R){var O=Map$1().asMutable();return S.__iterate(function(I,N){O.update(C.call(R,I,N,S),0,function(L){return L+1})}),O.asImmutable()}function groupByFactory(S,C,R){var O=isKeyed(S),I=(isOrdered(S)?OrderedMap():Map$1()).asMutable();S.__iterate(function(L,B){I.update(C.call(R,L,B,S),function(j){return j=j||[],j.push(O?[B,L]:L),j})});var N=collectionClass(S);return I.map(function(L){return reify(S,N(L))}).asImmutable()}function partitionFactory(S,C,R){var O=isKeyed(S),I=[[],[]];S.__iterate(function(L,B){I[C.call(R,L,B,S)?1:0].push(O?[B,L]:L)});var N=collectionClass(S);return I.map(function(L){return reify(S,N(L))})}function sliceFactory(S,C,R,O){var I=S.size;if(wholeSlice(C,R,I))return S;var N=resolveBegin(C,I),L=resolveEnd(R,I);if(N!==N||L!==L)return sliceFactory(S.toSeq().cacheResult(),C,R,O);var B=L-N,j;B===B&&(j=B<0?0:B);var F=makeSequence(S);return F.size=j===0?j:S.size&&j||void 0,!O&&isSeq(S)&&j>=0&&(F.get=function(V,K){return V=wrapIndex(this,V),V>=0&&V<j?S.get(V+N,K):K}),F.__iterateUncached=function(V,K){var W=this;if(j===0)return 0;if(K)return this.cacheResult().__iterate(V,K);var X=0,J=!0,oe=0;return S.__iterate(function(pe,me){if(!(J&&(J=X++<N)))return oe++,V(pe,O?me:oe-1,W)!==!1&&oe!==j}),oe},F.__iteratorUncached=function(V,K){if(j!==0&&K)return this.cacheResult().__iterator(V,K);if(j===0)return new Iterator(iteratorDone);var W=S.__iterator(V,K),X=0,J=0;return new Iterator(function(){for(;X++<N;)W.next();if(++J>j)return iteratorDone();var oe=W.next();return O||V===ITERATE_VALUES||oe.done?oe:V===ITERATE_KEYS?iteratorValue(V,J-1,void 0,oe):iteratorValue(V,J-1,oe.value[1],oe)})},F}function takeWhileFactory(S,C,R){var O=makeSequence(S);return O.__iterateUncached=function(I,N){var L=this;if(N)return this.cacheResult().__iterate(I,N);var B=0;return S.__iterate(function(j,F,V){return C.call(R,j,F,V)&&++B&&I(j,F,L)}),B},O.__iteratorUncached=function(I,N){var L=this;if(N)return this.cacheResult().__iterator(I,N);var B=S.__iterator(ITERATE_ENTRIES,N),j=!0;return new Iterator(function(){if(!j)return iteratorDone();var F=B.next();if(F.done)return F;var V=F.value,K=V[0],W=V[1];return C.call(R,W,K,L)?I===ITERATE_ENTRIES?F:iteratorValue(I,K,W,F):(j=!1,iteratorDone())})},O}function skipWhileFactory(S,C,R,O){var I=makeSequence(S);return I.__iterateUncached=function(N,L){var B=this;if(L)return this.cacheResult().__iterate(N,L);var j=!0,F=0;return S.__iterate(function(V,K,W){if(!(j&&(j=C.call(R,V,K,W))))return F++,N(V,O?K:F-1,B)}),F},I.__iteratorUncached=function(N,L){var B=this;if(L)return this.cacheResult().__iterator(N,L);var j=S.__iterator(ITERATE_ENTRIES,L),F=!0,V=0;return new Iterator(function(){var K,W,X;do{if(K=j.next(),K.done)return O||N===ITERATE_VALUES?K:N===ITERATE_KEYS?iteratorValue(N,V++,void 0,K):iteratorValue(N,V++,K.value[1],K);var J=K.value;W=J[0],X=J[1],F&&(F=C.call(R,X,W,B))}while(F);return N===ITERATE_ENTRIES?K:iteratorValue(N,W,X,K)})},I}function concatFactory(S,C){var R=isKeyed(S),O=[S].concat(C).map(function(L){return isCollection(L)?R&&(L=KeyedCollection(L)):L=R?keyedSeqFromValue(L):indexedSeqFromValue(Array.isArray(L)?L:[L]),L}).filter(function(L){return L.size!==0});if(O.length===0)return S;if(O.length===1){var I=O[0];if(I===S||R&&isKeyed(I)||isIndexed(S)&&isIndexed(I))return I}var N=new ArraySeq(O);return R?N=N.toKeyedSeq():isIndexed(S)||(N=N.toSetSeq()),N=N.flatten(!0),N.size=O.reduce(function(L,B){if(L!==void 0){var j=B.size;if(j!==void 0)return L+j}},0),N}function flattenFactory(S,C,R){var O=makeSequence(S);return O.__iterateUncached=function(I,N){if(N)return this.cacheResult().__iterate(I,N);var L=0,B=!1;function j(F,V){F.__iterate(function(K,W){return(!C||V<C)&&isCollection(K)?j(K,V+1):(L++,I(K,R?W:L-1,O)===!1&&(B=!0)),!B},N)}return j(S,0),L},O.__iteratorUncached=function(I,N){if(N)return this.cacheResult().__iterator(I,N);var L=S.__iterator(I,N),B=[],j=0;return new Iterator(function(){for(;L;){var F=L.next();if(F.done!==!1){L=B.pop();continue}var V=F.value;if(I===ITERATE_ENTRIES&&(V=V[1]),(!C||B.length<C)&&isCollection(V))B.push(L),L=V.__iterator(I,N);else return R?F:iteratorValue(I,j++,V,F)}return iteratorDone()})},O}function flatMapFactory(S,C,R){var O=collectionClass(S);return S.toSeq().map(function(I,N){return O(C.call(R,I,N,S))}).flatten(!0)}function interposeFactory(S,C){var R=makeSequence(S);return R.size=S.size&&S.size*2-1,R.__iterateUncached=function(O,I){var N=this,L=0;return S.__iterate(function(B){return(!L||O(C,L++,N)!==!1)&&O(B,L++,N)!==!1},I),L},R.__iteratorUncached=function(O,I){var N=S.__iterator(ITERATE_VALUES,I),L=0,B;return new Iterator(function(){return(!B||L%2)&&(B=N.next(),B.done)?B:L%2?iteratorValue(O,L++,C):iteratorValue(O,L++,B.value,B)})},R}function sortFactory(S,C,R){C||(C=defaultComparator);var O=isKeyed(S),I=0,N=S.toSeq().map(function(L,B){return[B,L,I++,R?R(L,B,S):L]}).valueSeq().toArray();return N.sort(function(L,B){return C(L[3],B[3])||L[2]-B[2]}).forEach(O?function(L,B){N[B].length=2}:function(L,B){N[B]=L[1]}),O?KeyedSeq(N):isIndexed(S)?IndexedSeq(N):SetSeq(N)}function maxFactory(S,C,R){if(C||(C=defaultComparator),R){var O=S.toSeq().map(function(I,N){return[I,R(I,N,S)]}).reduce(function(I,N){return maxCompare(C,I[1],N[1])?N:I});return O&&O[0]}return S.reduce(function(I,N){return maxCompare(C,I,N)?N:I})}function maxCompare(S,C,R){var O=S(R,C);return O===0&&R!==C&&(R==null||R!==R)||O>0}function zipWithFactory(S,C,R,O){var I=makeSequence(S),N=new ArraySeq(R).map(function(L){return L.size});return I.size=O?N.max():N.min(),I.__iterate=function(L,B){for(var j=this.__iterator(ITERATE_VALUES,B),F,V=0;!(F=j.next()).done&&L(F.value,V++,this)!==!1;);return V},I.__iteratorUncached=function(L,B){var j=R.map(function(K){return K=Collection$1(K),getIterator$2(B?K.reverse():K)}),F=0,V=!1;return new Iterator(function(){var K;return V||(K=j.map(function(W){return W.next()}),V=O?K.every(function(W){return W.done}):K.some(function(W){return W.done})),V?iteratorDone():iteratorValue(L,F++,C.apply(null,K.map(function(W){return W.value})))})},I}function reify(S,C){return S===C?S:isSeq(S)?C:S.constructor(C)}function validateEntry(S){if(S!==Object(S))throw new TypeError("Expected [K, V] tuple: "+S)}function collectionClass(S){return isKeyed(S)?KeyedCollection:isIndexed(S)?IndexedCollection:SetCollection}function makeSequence(S){return Object.create((isKeyed(S)?KeyedSeq:isIndexed(S)?IndexedSeq:SetSeq).prototype)}function cacheResultThrough(){return this._iter.cacheResult?(this._iter.cacheResult(),this.size=this._iter.size,this):Seq.prototype.cacheResult.call(this)}function defaultComparator(S,C){return S===void 0&&C===void 0?0:S===void 0?1:C===void 0?-1:S>C?1:S<C?-1:0}function arrCopy(S,C){C=C||0;for(var R=Math.max(0,S.length-C),O=new Array(R),I=0;I<R;I++)O[I]=S[I+C];return O}function invariant$2(S,C){if(!S)throw new Error(C)}function assertNotInfinite(S){invariant$2(S!==1/0,"Cannot perform this action with an infinite size.")}function coerceKeyPath(S){if(isArrayLike$1(S)&&typeof S!="string")return S;if(isOrdered(S))return S.toArray();throw new TypeError("Invalid keyPath: expected Ordered Collection or Array: "+S)}var toString$g=Object.prototype.toString;function isPlainObject(S){if(!S||typeof S!="object"||toString$g.call(S)!=="[object Object]")return!1;var C=Object.getPrototypeOf(S);if(C===null)return!0;for(var R=C,O=Object.getPrototypeOf(C);O!==null;)R=O,O=Object.getPrototypeOf(R);return R===C}function isDataStructure(S){return typeof S=="object"&&(isImmutable(S)||Array.isArray(S)||isPlainObject(S))}function quoteString(S){try{return typeof S=="string"?JSON.stringify(S):String(S)}catch{return JSON.stringify(S)}}function has$2(S,C){return isImmutable(S)?S.has(C):isDataStructure(S)&&hasOwnProperty$4.call(S,C)}function get$2(S,C,R){return isImmutable(S)?S.get(C,R):has$2(S,C)?typeof S.get=="function"?S.get(C):S[C]:R}function shallowCopy(S){if(Array.isArray(S))return arrCopy(S);var C={};for(var R in S)hasOwnProperty$4.call(S,R)&&(C[R]=S[R]);return C}function remove(S,C){if(!isDataStructure(S))throw new TypeError("Cannot update non-data-structure value: "+S);if(isImmutable(S)){if(!S.remove)throw new TypeError("Cannot update immutable value without .remove() method: "+S);return S.remove(C)}if(!hasOwnProperty$4.call(S,C))return S;var R=shallowCopy(S);return Array.isArray(R)?R.splice(C,1):delete R[C],R}function set$2(S,C,R){if(!isDataStructure(S))throw new TypeError("Cannot update non-data-structure value: "+S);if(isImmutable(S)){if(!S.set)throw new TypeError("Cannot update immutable value without .set() method: "+S);return S.set(C,R)}if(hasOwnProperty$4.call(S,C)&&R===S[C])return S;var O=shallowCopy(S);return O[C]=R,O}function updateIn$1(S,C,R,O){O||(O=R,R=void 0);var I=updateInDeeply(isImmutable(S),S,coerceKeyPath(C),0,R,O);return I===NOT_SET?R:I}function updateInDeeply(S,C,R,O,I,N){var L=C===NOT_SET;if(O===R.length){var B=L?I:C,j=N(B);return j===B?C:j}if(!L&&!isDataStructure(C))throw new TypeError("Cannot update within non-data-structure value in path ["+R.slice(0,O).map(quoteString)+"]: "+C);var F=R[O],V=L?NOT_SET:get$2(C,F,NOT_SET),K=updateInDeeply(V===NOT_SET?S:isImmutable(V),V,R,O+1,I,N);return K===V?C:K===NOT_SET?remove(C,F):set$2(L?S?emptyMap():{}:C,F,K)}function setIn$1(S,C,R){return updateIn$1(S,C,NOT_SET,function(){return R})}function setIn(S,C){return setIn$1(this,S,C)}function removeIn(S,C){return updateIn$1(S,C,function(){return NOT_SET})}function deleteIn(S){return removeIn(this,S)}function update$1(S,C,R,O){return updateIn$1(S,[C],R,O)}function update(S,C,R){return arguments.length===1?S(this):update$1(this,S,C,R)}function updateIn(S,C,R){return updateIn$1(this,S,C,R)}function merge$1$1(){for(var S=[],C=arguments.length;C--;)S[C]=arguments[C];return mergeIntoKeyedWith(this,S)}function mergeWith$1(S){for(var C=[],R=arguments.length-1;R-- >0;)C[R]=arguments[R+1];if(typeof S!="function")throw new TypeError("Invalid merger function: "+S);return mergeIntoKeyedWith(this,C,S)}function mergeIntoKeyedWith(S,C,R){for(var O=[],I=0;I<C.length;I++){var N=KeyedCollection(C[I]);N.size!==0&&O.push(N)}return O.length===0?S:S.toSeq().size===0&&!S.__ownerID&&O.length===1?S.constructor(O[0]):S.withMutations(function(L){for(var B=R?function(F,V){update$1(L,V,NOT_SET,function(K){return K===NOT_SET?F:R(K,F,V)})}:function(F,V){L.set(V,F)},j=0;j<O.length;j++)O[j].forEach(B)})}function mergeDeepWithSources(S,C,R){return mergeWithSources(S,C,deepMergerWith(R))}function mergeWithSources(S,C,R){if(!isDataStructure(S))throw new TypeError("Cannot merge into non-data-structure value: "+S);if(isImmutable(S))return typeof R=="function"&&S.mergeWith?S.mergeWith.apply(S,[R].concat(C)):S.merge?S.merge.apply(S,C):S.concat.apply(S,C);for(var O=Array.isArray(S),I=S,N=O?IndexedCollection:KeyedCollection,L=O?function(j){I===S&&(I=shallowCopy(I)),I.push(j)}:function(j,F){var V=hasOwnProperty$4.call(I,F),K=V&&R?R(I[F],j,F):j;(!V||K!==I[F])&&(I===S&&(I=shallowCopy(I)),I[F]=K)},B=0;B<C.length;B++)N(C[B]).forEach(L);return I}function deepMergerWith(S){function C(R,O,I){return isDataStructure(R)&&isDataStructure(O)&&areMergeable(R,O)?mergeWithSources(R,[O],C):S?S(R,O,I):O}return C}function areMergeable(S,C){var R=Seq(S),O=Seq(C);return isIndexed(R)===isIndexed(O)&&isKeyed(R)===isKeyed(O)}function mergeDeep(){for(var S=[],C=arguments.length;C--;)S[C]=arguments[C];return mergeDeepWithSources(this,S)}function mergeDeepWith(S){for(var C=[],R=arguments.length-1;R-- >0;)C[R]=arguments[R+1];return mergeDeepWithSources(this,C,S)}function mergeIn(S){for(var C=[],R=arguments.length-1;R-- >0;)C[R]=arguments[R+1];return updateIn$1(this,S,emptyMap(),function(O){return mergeWithSources(O,C)})}function mergeDeepIn(S){for(var C=[],R=arguments.length-1;R-- >0;)C[R]=arguments[R+1];return updateIn$1(this,S,emptyMap(),function(O){return mergeDeepWithSources(O,C)})}function withMutations(S){var C=this.asMutable();return S(C),C.wasAltered()?C.__ensureOwner(this.__ownerID):this}function asMutable(){return this.__ownerID?this:this.__ensureOwner(new OwnerID)}function asImmutable(){return this.__ensureOwner()}function wasAltered(){return this.__altered}var Map$1=function(S){function C(R){return R==null?emptyMap():isMap(R)&&!isOrdered(R)?R:emptyMap().withMutations(function(O){var I=S(R);assertNotInfinite(I.size),I.forEach(function(N,L){return O.set(L,N)})})}return S&&(C.__proto__=S),C.prototype=Object.create(S&&S.prototype),C.prototype.constructor=C,C.of=function(){for(var O=[],I=arguments.length;I--;)O[I]=arguments[I];return emptyMap().withMutations(function(N){for(var L=0;L<O.length;L+=2){if(L+1>=O.length)throw new Error("Missing value for key: "+O[L]);N.set(O[L],O[L+1])}})},C.prototype.toString=function(){return this.__toString("Map {","}")},C.prototype.get=function(O,I){return this._root?this._root.get(0,void 0,O,I):I},C.prototype.set=function(O,I){return updateMap(this,O,I)},C.prototype.remove=function(O){return updateMap(this,O,NOT_SET)},C.prototype.deleteAll=function(O){var I=Collection$1(O);return I.size===0?this:this.withMutations(function(N){I.forEach(function(L){return N.remove(L)})})},C.prototype.clear=function(){return this.size===0?this:this.__ownerID?(this.size=0,this._root=null,this.__hash=void 0,this.__altered=!0,this):emptyMap()},C.prototype.sort=function(O){return OrderedMap(sortFactory(this,O))},C.prototype.sortBy=function(O,I){return OrderedMap(sortFactory(this,I,O))},C.prototype.map=function(O,I){var N=this;return this.withMutations(function(L){L.forEach(function(B,j){L.set(j,O.call(I,B,j,N))})})},C.prototype.__iterator=function(O,I){return new MapIterator(this,O,I)},C.prototype.__iterate=function(O,I){var N=this,L=0;return this._root&&this._root.iterate(function(B){return L++,O(B[1],B[0],N)},I),L},C.prototype.__ensureOwner=function(O){return O===this.__ownerID?this:O?makeMap(this.size,this._root,O,this.__hash):this.size===0?emptyMap():(this.__ownerID=O,this.__altered=!1,this)},C}(KeyedCollection);Map$1.isMap=isMap;var MapPrototype=Map$1.prototype;MapPrototype[IS_MAP_SYMBOL]=!0,MapPrototype[DELETE]=MapPrototype.remove,MapPrototype.removeAll=MapPrototype.deleteAll,MapPrototype.setIn=setIn,MapPrototype.removeIn=MapPrototype.deleteIn=deleteIn,MapPrototype.update=update,MapPrototype.updateIn=updateIn,MapPrototype.merge=MapPrototype.concat=merge$1$1,MapPrototype.mergeWith=mergeWith$1,MapPrototype.mergeDeep=mergeDeep,MapPrototype.mergeDeepWith=mergeDeepWith,MapPrototype.mergeIn=mergeIn,MapPrototype.mergeDeepIn=mergeDeepIn,MapPrototype.withMutations=withMutations,MapPrototype.wasAltered=wasAltered,MapPrototype.asImmutable=asImmutable,MapPrototype["@@transducer/init"]=MapPrototype.asMutable=asMutable,MapPrototype["@@transducer/step"]=function(S,C){return S.set(C[0],C[1])},MapPrototype["@@transducer/result"]=function(S){return S.asImmutable()};var ArrayMapNode=function(C,R){this.ownerID=C,this.entries=R};ArrayMapNode.prototype.get=function(C,R,O,I){for(var N=this.entries,L=0,B=N.length;L<B;L++)if(is(O,N[L][0]))return N[L][1];return I},ArrayMapNode.prototype.update=function(C,R,O,I,N,L,B){for(var j=N===NOT_SET,F=this.entries,V=0,K=F.length;V<K&&!is(I,F[V][0]);V++);var W=V<K;if(W?F[V][1]===N:j)return this;if(SetRef(B),(j||!W)&&SetRef(L),!(j&&F.length===1)){if(!W&&!j&&F.length>=MAX_ARRAY_MAP_SIZE)return createNodes(C,F,I,N);var X=C&&C===this.ownerID,J=X?F:arrCopy(F);return W?j?V===K-1?J.pop():J[V]=J.pop():J[V]=[I,N]:J.push([I,N]),X?(this.entries=J,this):new ArrayMapNode(C,J)}};var BitmapIndexedNode=function(C,R,O){this.ownerID=C,this.bitmap=R,this.nodes=O};BitmapIndexedNode.prototype.get=function(C,R,O,I){R===void 0&&(R=hash$1(O));var N=1<<((C===0?R:R>>>C)&MASK),L=this.bitmap;return L&N?this.nodes[popCount(L&N-1)].get(C+SHIFT,R,O,I):I},BitmapIndexedNode.prototype.update=function(C,R,O,I,N,L,B){O===void 0&&(O=hash$1(I));var j=(R===0?O:O>>>R)&MASK,F=1<<j,V=this.bitmap,K=(V&F)!==0;if(!K&&N===NOT_SET)return this;var W=popCount(V&F-1),X=this.nodes,J=K?X[W]:void 0,oe=updateNode(J,C,R+SHIFT,O,I,N,L,B);if(oe===J)return this;if(!K&&oe&&X.length>=MAX_BITMAP_INDEXED_SIZE)return expandNodes(C,X,V,j,oe);if(K&&!oe&&X.length===2&&isLeafNode(X[W^1]))return X[W^1];if(K&&oe&&X.length===1&&isLeafNode(oe))return oe;var pe=C&&C===this.ownerID,me=K?oe?V:V^F:V|F,xe=K?oe?setAt(X,W,oe,pe):spliceOut(X,W,pe):spliceIn(X,W,oe,pe);return pe?(this.bitmap=me,this.nodes=xe,this):new BitmapIndexedNode(C,me,xe)};var HashArrayMapNode=function(C,R,O){this.ownerID=C,this.count=R,this.nodes=O};HashArrayMapNode.prototype.get=function(C,R,O,I){R===void 0&&(R=hash$1(O));var N=(C===0?R:R>>>C)&MASK,L=this.nodes[N];return L?L.get(C+SHIFT,R,O,I):I},HashArrayMapNode.prototype.update=function(C,R,O,I,N,L,B){O===void 0&&(O=hash$1(I));var j=(R===0?O:O>>>R)&MASK,F=N===NOT_SET,V=this.nodes,K=V[j];if(F&&!K)return this;var W=updateNode(K,C,R+SHIFT,O,I,N,L,B);if(W===K)return this;var X=this.count;if(!K)X++;else if(!W&&(X--,X<MIN_HASH_ARRAY_MAP_SIZE))return packNodes(C,V,X,j);var J=C&&C===this.ownerID,oe=setAt(V,j,W,J);return J?(this.count=X,this.nodes=oe,this):new HashArrayMapNode(C,X,oe)};var HashCollisionNode=function(C,R,O){this.ownerID=C,this.keyHash=R,this.entries=O};HashCollisionNode.prototype.get=function(C,R,O,I){for(var N=this.entries,L=0,B=N.length;L<B;L++)if(is(O,N[L][0]))return N[L][1];return I},HashCollisionNode.prototype.update=function(C,R,O,I,N,L,B){O===void 0&&(O=hash$1(I));var j=N===NOT_SET;if(O!==this.keyHash)return j?this:(SetRef(B),SetRef(L),mergeIntoNode(this,C,R,O,[I,N]));for(var F=this.entries,V=0,K=F.length;V<K&&!is(I,F[V][0]);V++);var W=V<K;if(W?F[V][1]===N:j)return this;if(SetRef(B),(j||!W)&&SetRef(L),j&&K===2)return new ValueNode(C,this.keyHash,F[V^1]);var X=C&&C===this.ownerID,J=X?F:arrCopy(F);return W?j?V===K-1?J.pop():J[V]=J.pop():J[V]=[I,N]:J.push([I,N]),X?(this.entries=J,this):new HashCollisionNode(C,this.keyHash,J)};var ValueNode=function(C,R,O){this.ownerID=C,this.keyHash=R,this.entry=O};ValueNode.prototype.get=function(C,R,O,I){return is(O,this.entry[0])?this.entry[1]:I},ValueNode.prototype.update=function(C,R,O,I,N,L,B){var j=N===NOT_SET,F=is(I,this.entry[0]);if(F?N===this.entry[1]:j)return this;if(SetRef(B),j){SetRef(L);return}return F?C&&C===this.ownerID?(this.entry[1]=N,this):new ValueNode(C,this.keyHash,[I,N]):(SetRef(L),mergeIntoNode(this,C,R,hash$1(I),[I,N]))},ArrayMapNode.prototype.iterate=HashCollisionNode.prototype.iterate=function(S,C){for(var R=this.entries,O=0,I=R.length-1;O<=I;O++)if(S(R[C?I-O:O])===!1)return!1},BitmapIndexedNode.prototype.iterate=HashArrayMapNode.prototype.iterate=function(S,C){for(var R=this.nodes,O=0,I=R.length-1;O<=I;O++){var N=R[C?I-O:O];if(N&&N.iterate(S,C)===!1)return!1}},ValueNode.prototype.iterate=function(S,C){return S(this.entry)};var MapIterator=function(S){function C(R,O,I){this._type=O,this._reverse=I,this._stack=R._root&&mapIteratorFrame(R._root)}return S&&(C.__proto__=S),C.prototype=Object.create(S&&S.prototype),C.prototype.constructor=C,C.prototype.next=function(){for(var O=this._type,I=this._stack;I;){var N=I.node,L=I.index++,B=void 0;if(N.entry){if(L===0)return mapIteratorValue(O,N.entry)}else if(N.entries){if(B=N.entries.length-1,L<=B)return mapIteratorValue(O,N.entries[this._reverse?B-L:L])}else if(B=N.nodes.length-1,L<=B){var j=N.nodes[this._reverse?B-L:L];if(j){if(j.entry)return mapIteratorValue(O,j.entry);I=this._stack=mapIteratorFrame(j,I)}continue}I=this._stack=this._stack.__prev}return iteratorDone()},C}(Iterator);function mapIteratorValue(S,C){return iteratorValue(S,C[0],C[1])}function mapIteratorFrame(S,C){return{node:S,index:0,__prev:C}}function makeMap(S,C,R,O){var I=Object.create(MapPrototype);return I.size=S,I._root=C,I.__ownerID=R,I.__hash=O,I.__altered=!1,I}var EMPTY_MAP;function emptyMap(){return EMPTY_MAP||(EMPTY_MAP=makeMap(0))}function updateMap(S,C,R){var O,I;if(S._root){var N=MakeRef(),L=MakeRef();if(O=updateNode(S._root,S.__ownerID,0,void 0,C,R,N,L),!L.value)return S;I=S.size+(N.value?R===NOT_SET?-1:1:0)}else{if(R===NOT_SET)return S;I=1,O=new ArrayMapNode(S.__ownerID,[[C,R]])}return S.__ownerID?(S.size=I,S._root=O,S.__hash=void 0,S.__altered=!0,S):O?makeMap(I,O):emptyMap()}function updateNode(S,C,R,O,I,N,L,B){return S?S.update(C,R,O,I,N,L,B):N===NOT_SET?S:(SetRef(B),SetRef(L),new ValueNode(C,O,[I,N]))}function isLeafNode(S){return S.constructor===ValueNode||S.constructor===HashCollisionNode}function mergeIntoNode(S,C,R,O,I){if(S.keyHash===O)return new HashCollisionNode(C,O,[S.entry,I]);var N=(R===0?S.keyHash:S.keyHash>>>R)&MASK,L=(R===0?O:O>>>R)&MASK,B,j=N===L?[mergeIntoNode(S,C,R+SHIFT,O,I)]:(B=new ValueNode(C,O,I),N<L?[S,B]:[B,S]);return new BitmapIndexedNode(C,1<<N|1<<L,j)}function createNodes(S,C,R,O){S||(S=new OwnerID);for(var I=new ValueNode(S,hash$1(R),[R,O]),N=0;N<C.length;N++){var L=C[N];I=I.update(S,0,void 0,L[0],L[1])}return I}function packNodes(S,C,R,O){for(var I=0,N=0,L=new Array(R),B=0,j=1,F=C.length;B<F;B++,j<<=1){var V=C[B];V!==void 0&&B!==O&&(I|=j,L[N++]=V)}return new BitmapIndexedNode(S,I,L)}function expandNodes(S,C,R,O,I){for(var N=0,L=new Array(SIZE$1),B=0;R!==0;B++,R>>>=1)L[B]=R&1?C[N++]:void 0;return L[O]=I,new HashArrayMapNode(S,N+1,L)}function popCount(S){return S-=S>>1&1431655765,S=(S&858993459)+(S>>2&858993459),S=S+(S>>4)&252645135,S+=S>>8,S+=S>>16,S&127}function setAt(S,C,R,O){var I=O?S:arrCopy(S);return I[C]=R,I}function spliceIn(S,C,R,O){var I=S.length+1;if(O&&C+1===I)return S[C]=R,S;for(var N=new Array(I),L=0,B=0;B<I;B++)B===C?(N[B]=R,L=-1):N[B]=S[B+L];return N}function spliceOut(S,C,R){var O=S.length-1;if(R&&C===O)return S.pop(),S;for(var I=new Array(O),N=0,L=0;L<O;L++)L===C&&(N=1),I[L]=S[L+N];return I}var MAX_ARRAY_MAP_SIZE=SIZE$1/4,MAX_BITMAP_INDEXED_SIZE=SIZE$1/2,MIN_HASH_ARRAY_MAP_SIZE=SIZE$1/4,IS_LIST_SYMBOL="@@__IMMUTABLE_LIST__@@";function isList(S){return!!(S&&S[IS_LIST_SYMBOL])}var List$1=function(S){function C(R){var O=emptyList();if(R==null)return O;if(isList(R))return R;var I=S(R),N=I.size;return N===0?O:(assertNotInfinite(N),N>0&&N<SIZE$1?makeList(0,N,SHIFT,null,new VNode(I.toArray())):O.withMutations(function(L){L.setSize(N),I.forEach(function(B,j){return L.set(j,B)})}))}return S&&(C.__proto__=S),C.prototype=Object.create(S&&S.prototype),C.prototype.constructor=C,C.of=function(){return this(arguments)},C.prototype.toString=function(){return this.__toString("List [","]")},C.prototype.get=function(O,I){if(O=wrapIndex(this,O),O>=0&&O<this.size){O+=this._origin;var N=listNodeFor(this,O);return N&&N.array[O&MASK]}return I},C.prototype.set=function(O,I){return updateList(this,O,I)},C.prototype.remove=function(O){return this.has(O)?O===0?this.shift():O===this.size-1?this.pop():this.splice(O,1):this},C.prototype.insert=function(O,I){return this.splice(O,0,I)},C.prototype.clear=function(){return this.size===0?this:this.__ownerID?(this.size=this._origin=this._capacity=0,this._level=SHIFT,this._root=this._tail=this.__hash=void 0,this.__altered=!0,this):emptyList()},C.prototype.push=function(){var O=arguments,I=this.size;return this.withMutations(function(N){setListBounds(N,0,I+O.length);for(var L=0;L<O.length;L++)N.set(I+L,O[L])})},C.prototype.pop=function(){return setListBounds(this,0,-1)},C.prototype.unshift=function(){var O=arguments;return this.withMutations(function(I){setListBounds(I,-O.length);for(var N=0;N<O.length;N++)I.set(N,O[N])})},C.prototype.shift=function(){return setListBounds(this,1)},C.prototype.concat=function(){for(var O=arguments,I=[],N=0;N<arguments.length;N++){var L=O[N],B=S(typeof L!="string"&&hasIterator(L)?L:[L]);B.size!==0&&I.push(B)}return I.length===0?this:this.size===0&&!this.__ownerID&&I.length===1?this.constructor(I[0]):this.withMutations(function(j){I.forEach(function(F){return F.forEach(function(V){return j.push(V)})})})},C.prototype.setSize=function(O){return setListBounds(this,0,O)},C.prototype.map=function(O,I){var N=this;return this.withMutations(function(L){for(var B=0;B<N.size;B++)L.set(B,O.call(I,L.get(B),B,N))})},C.prototype.slice=function(O,I){var N=this.size;return wholeSlice(O,I,N)?this:setListBounds(this,resolveBegin(O,N),resolveEnd(I,N))},C.prototype.__iterator=function(O,I){var N=I?this.size:0,L=iterateList(this,I);return new Iterator(function(){var B=L();return B===DONE?iteratorDone():iteratorValue(O,I?--N:N++,B)})},C.prototype.__iterate=function(O,I){for(var N=I?this.size:0,L=iterateList(this,I),B;(B=L())!==DONE&&O(B,I?--N:N++,this)!==!1;);return N},C.prototype.__ensureOwner=function(O){return O===this.__ownerID?this:O?makeList(this._origin,this._capacity,this._level,this._root,this._tail,O,this.__hash):this.size===0?emptyList():(this.__ownerID=O,this.__altered=!1,this)},C}(IndexedCollection);List$1.isList=isList;var ListPrototype=List$1.prototype;ListPrototype[IS_LIST_SYMBOL]=!0,ListPrototype[DELETE]=ListPrototype.remove,ListPrototype.merge=ListPrototype.concat,ListPrototype.setIn=setIn,ListPrototype.deleteIn=ListPrototype.removeIn=deleteIn,ListPrototype.update=update,ListPrototype.updateIn=updateIn,ListPrototype.mergeIn=mergeIn,ListPrototype.mergeDeepIn=mergeDeepIn,ListPrototype.withMutations=withMutations,ListPrototype.wasAltered=wasAltered,ListPrototype.asImmutable=asImmutable,ListPrototype["@@transducer/init"]=ListPrototype.asMutable=asMutable,ListPrototype["@@transducer/step"]=function(S,C){return S.push(C)},ListPrototype["@@transducer/result"]=function(S){return S.asImmutable()};var VNode=function(C,R){this.array=C,this.ownerID=R};VNode.prototype.removeBefore=function(C,R,O){if(O===R?1<<R:this.array.length===0)return this;var I=O>>>R&MASK;if(I>=this.array.length)return new VNode([],C);var N=I===0,L;if(R>0){var B=this.array[I];if(L=B&&B.removeBefore(C,R-SHIFT,O),L===B&&N)return this}if(N&&!L)return this;var j=editableVNode(this,C);if(!N)for(var F=0;F<I;F++)j.array[F]=void 0;return L&&(j.array[I]=L),j},VNode.prototype.removeAfter=function(C,R,O){if(O===(R?1<<R:0)||this.array.length===0)return this;var I=O-1>>>R&MASK;if(I>=this.array.length)return this;var N;if(R>0){var L=this.array[I];if(N=L&&L.removeAfter(C,R-SHIFT,O),N===L&&I===this.array.length-1)return this}var B=editableVNode(this,C);return B.array.splice(I+1),N&&(B.array[I]=N),B};var DONE={};function iterateList(S,C){var R=S._origin,O=S._capacity,I=getTailOffset(O),N=S._tail;return L(S._root,S._level,0);function L(F,V,K){return V===0?B(F,K):j(F,V,K)}function B(F,V){var K=V===I?N&&N.array:F&&F.array,W=V>R?0:R-V,X=O-V;return X>SIZE$1&&(X=SIZE$1),function(){if(W===X)return DONE;var J=C?--X:W++;return K&&K[J]}}function j(F,V,K){var W,X=F&&F.array,J=K>R?0:R-K>>V,oe=(O-K>>V)+1;return oe>SIZE$1&&(oe=SIZE$1),function(){for(;;){if(W){var pe=W();if(pe!==DONE)return pe;W=null}if(J===oe)return DONE;var me=C?--oe:J++;W=L(X&&X[me],V-SHIFT,K+(me<<V))}}}}function makeList(S,C,R,O,I,N,L){var B=Object.create(ListPrototype);return B.size=C-S,B._origin=S,B._capacity=C,B._level=R,B._root=O,B._tail=I,B.__ownerID=N,B.__hash=L,B.__altered=!1,B}var EMPTY_LIST;function emptyList(){return EMPTY_LIST||(EMPTY_LIST=makeList(0,0,SHIFT))}function updateList(S,C,R){if(C=wrapIndex(S,C),C!==C)return S;if(C>=S.size||C<0)return S.withMutations(function(L){C<0?setListBounds(L,C).set(0,R):setListBounds(L,0,C+1).set(C,R)});C+=S._origin;var O=S._tail,I=S._root,N=MakeRef();return C>=getTailOffset(S._capacity)?O=updateVNode(O,S.__ownerID,0,C,R,N):I=updateVNode(I,S.__ownerID,S._level,C,R,N),N.value?S.__ownerID?(S._root=I,S._tail=O,S.__hash=void 0,S.__altered=!0,S):makeList(S._origin,S._capacity,S._level,I,O):S}function updateVNode(S,C,R,O,I,N){var L=O>>>R&MASK,B=S&&L<S.array.length;if(!B&&I===void 0)return S;var j;if(R>0){var F=S&&S.array[L],V=updateVNode(F,C,R-SHIFT,O,I,N);return V===F?S:(j=editableVNode(S,C),j.array[L]=V,j)}return B&&S.array[L]===I?S:(N&&SetRef(N),j=editableVNode(S,C),I===void 0&&L===j.array.length-1?j.array.pop():j.array[L]=I,j)}function editableVNode(S,C){return C&&S&&C===S.ownerID?S:new VNode(S?S.array.slice():[],C)}function listNodeFor(S,C){if(C>=getTailOffset(S._capacity))return S._tail;if(C<1<<S._level+SHIFT){for(var R=S._root,O=S._level;R&&O>0;)R=R.array[C>>>O&MASK],O-=SHIFT;return R}}function setListBounds(S,C,R){C!==void 0&&(C|=0),R!==void 0&&(R|=0);var O=S.__ownerID||new OwnerID,I=S._origin,N=S._capacity,L=I+C,B=R===void 0?N:R<0?N+R:I+R;if(L===I&&B===N)return S;if(L>=B)return S.clear();for(var j=S._level,F=S._root,V=0;L+V<0;)F=new VNode(F&&F.array.length?[void 0,F]:[],O),j+=SHIFT,V+=1<<j;V&&(L+=V,I+=V,B+=V,N+=V);for(var K=getTailOffset(N),W=getTailOffset(B);W>=1<<j+SHIFT;)F=new VNode(F&&F.array.length?[F]:[],O),j+=SHIFT;var X=S._tail,J=W<K?listNodeFor(S,B-1):W>K?new VNode([],O):X;if(X&&W>K&&L<N&&X.array.length){F=editableVNode(F,O);for(var oe=F,pe=j;pe>SHIFT;pe-=SHIFT){var me=K>>>pe&MASK;oe=oe.array[me]=editableVNode(oe.array[me],O)}oe.array[K>>>SHIFT&MASK]=X}if(B<N&&(J=J&&J.removeAfter(O,0,B)),L>=W)L-=W,B-=W,j=SHIFT,F=null,J=J&&J.removeBefore(O,0,L);else if(L>I||W<K){for(V=0;F;){var xe=L>>>j&MASK;if(xe!==W>>>j&MASK)break;xe&&(V+=(1<<j)*xe),j-=SHIFT,F=F.array[xe]}F&&L>I&&(F=F.removeBefore(O,j,L-V)),F&&W<K&&(F=F.removeAfter(O,j,W-V)),V&&(L-=V,B-=V)}return S.__ownerID?(S.size=B-L,S._origin=L,S._capacity=B,S._level=j,S._root=F,S._tail=J,S.__hash=void 0,S.__altered=!0,S):makeList(L,B,j,F,J)}function getTailOffset(S){return S<SIZE$1?0:S-1>>>SHIFT<<SHIFT}var OrderedMap=function(S){function C(R){return R==null?emptyOrderedMap():isOrderedMap(R)?R:emptyOrderedMap().withMutations(function(O){var I=KeyedCollection(R);assertNotInfinite(I.size),I.forEach(function(N,L){return O.set(L,N)})})}return S&&(C.__proto__=S),C.prototype=Object.create(S&&S.prototype),C.prototype.constructor=C,C.of=function(){return this(arguments)},C.prototype.toString=function(){return this.__toString("OrderedMap {","}")},C.prototype.get=function(O,I){var N=this._map.get(O);return N!==void 0?this._list.get(N)[1]:I},C.prototype.clear=function(){return this.size===0?this:this.__ownerID?(this.size=0,this._map.clear(),this._list.clear(),this.__altered=!0,this):emptyOrderedMap()},C.prototype.set=function(O,I){return updateOrderedMap(this,O,I)},C.prototype.remove=function(O){return updateOrderedMap(this,O,NOT_SET)},C.prototype.__iterate=function(O,I){var N=this;return this._list.__iterate(function(L){return L&&O(L[1],L[0],N)},I)},C.prototype.__iterator=function(O,I){return this._list.fromEntrySeq().__iterator(O,I)},C.prototype.__ensureOwner=function(O){if(O===this.__ownerID)return this;var I=this._map.__ensureOwner(O),N=this._list.__ensureOwner(O);return O?makeOrderedMap(I,N,O,this.__hash):this.size===0?emptyOrderedMap():(this.__ownerID=O,this.__altered=!1,this._map=I,this._list=N,this)},C}(Map$1);OrderedMap.isOrderedMap=isOrderedMap,OrderedMap.prototype[IS_ORDERED_SYMBOL]=!0,OrderedMap.prototype[DELETE]=OrderedMap.prototype.remove;function makeOrderedMap(S,C,R,O){var I=Object.create(OrderedMap.prototype);return I.size=S?S.size:0,I._map=S,I._list=C,I.__ownerID=R,I.__hash=O,I.__altered=!1,I}var EMPTY_ORDERED_MAP;function emptyOrderedMap(){return EMPTY_ORDERED_MAP||(EMPTY_ORDERED_MAP=makeOrderedMap(emptyMap(),emptyList()))}function updateOrderedMap(S,C,R){var O=S._map,I=S._list,N=O.get(C),L=N!==void 0,B,j;if(R===NOT_SET){if(!L)return S;I.size>=SIZE$1&&I.size>=O.size*2?(j=I.filter(function(F,V){return F!==void 0&&N!==V}),B=j.toKeyedSeq().map(function(F){return F[0]}).flip().toMap(),S.__ownerID&&(B.__ownerID=j.__ownerID=S.__ownerID)):(B=O.remove(C),j=N===I.size-1?I.pop():I.set(N,void 0))}else if(L){if(R===I.get(N)[1])return S;B=O,j=I.set(N,[C,R])}else B=O.set(C,I.size),j=I.set(I.size,[C,R]);return S.__ownerID?(S.size=B.size,S._map=B,S._list=j,S.__hash=void 0,S.__altered=!0,S):makeOrderedMap(B,j)}var IS_STACK_SYMBOL="@@__IMMUTABLE_STACK__@@";function isStack(S){return!!(S&&S[IS_STACK_SYMBOL])}var Stack=function(S){function C(R){return R==null?emptyStack():isStack(R)?R:emptyStack().pushAll(R)}return S&&(C.__proto__=S),C.prototype=Object.create(S&&S.prototype),C.prototype.constructor=C,C.of=function(){return this(arguments)},C.prototype.toString=function(){return this.__toString("Stack [","]")},C.prototype.get=function(O,I){var N=this._head;for(O=wrapIndex(this,O);N&&O--;)N=N.next;return N?N.value:I},C.prototype.peek=function(){return this._head&&this._head.value},C.prototype.push=function(){var O=arguments;if(arguments.length===0)return this;for(var I=this.size+arguments.length,N=this._head,L=arguments.length-1;L>=0;L--)N={value:O[L],next:N};return this.__ownerID?(this.size=I,this._head=N,this.__hash=void 0,this.__altered=!0,this):makeStack(I,N)},C.prototype.pushAll=function(O){if(O=S(O),O.size===0)return this;if(this.size===0&&isStack(O))return O;assertNotInfinite(O.size);var I=this.size,N=this._head;return O.__iterate(function(L){I++,N={value:L,next:N}},!0),this.__ownerID?(this.size=I,this._head=N,this.__hash=void 0,this.__altered=!0,this):makeStack(I,N)},C.prototype.pop=function(){return this.slice(1)},C.prototype.clear=function(){return this.size===0?this:this.__ownerID?(this.size=0,this._head=void 0,this.__hash=void 0,this.__altered=!0,this):emptyStack()},C.prototype.slice=function(O,I){if(wholeSlice(O,I,this.size))return this;var N=resolveBegin(O,this.size),L=resolveEnd(I,this.size);if(L!==this.size)return S.prototype.slice.call(this,O,I);for(var B=this.size-N,j=this._head;N--;)j=j.next;return this.__ownerID?(this.size=B,this._head=j,this.__hash=void 0,this.__altered=!0,this):makeStack(B,j)},C.prototype.__ensureOwner=function(O){return O===this.__ownerID?this:O?makeStack(this.size,this._head,O,this.__hash):this.size===0?emptyStack():(this.__ownerID=O,this.__altered=!1,this)},C.prototype.__iterate=function(O,I){var N=this;if(I)return new ArraySeq(this.toArray()).__iterate(function(j,F){return O(j,F,N)},I);for(var L=0,B=this._head;B&&O(B.value,L++,this)!==!1;)B=B.next;return L},C.prototype.__iterator=function(O,I){if(I)return new ArraySeq(this.toArray()).__iterator(O,I);var N=0,L=this._head;return new Iterator(function(){if(L){var B=L.value;return L=L.next,iteratorValue(O,N++,B)}return iteratorDone()})},C}(IndexedCollection);Stack.isStack=isStack;var StackPrototype=Stack.prototype;StackPrototype[IS_STACK_SYMBOL]=!0,StackPrototype.shift=StackPrototype.pop,StackPrototype.unshift=StackPrototype.push,StackPrototype.unshiftAll=StackPrototype.pushAll,StackPrototype.withMutations=withMutations,StackPrototype.wasAltered=wasAltered,StackPrototype.asImmutable=asImmutable,StackPrototype["@@transducer/init"]=StackPrototype.asMutable=asMutable,StackPrototype["@@transducer/step"]=function(S,C){return S.unshift(C)},StackPrototype["@@transducer/result"]=function(S){return S.asImmutable()};function makeStack(S,C,R,O){var I=Object.create(StackPrototype);return I.size=S,I._head=C,I.__ownerID=R,I.__hash=O,I.__altered=!1,I}var EMPTY_STACK;function emptyStack(){return EMPTY_STACK||(EMPTY_STACK=makeStack(0))}var IS_SET_SYMBOL="@@__IMMUTABLE_SET__@@";function isSet(S){return!!(S&&S[IS_SET_SYMBOL])}function isOrderedSet(S){return isSet(S)&&isOrdered(S)}function deepEqual$1(S,C){if(S===C)return!0;if(!isCollection(C)||S.size!==void 0&&C.size!==void 0&&S.size!==C.size||S.__hash!==void 0&&C.__hash!==void 0&&S.__hash!==C.__hash||isKeyed(S)!==isKeyed(C)||isIndexed(S)!==isIndexed(C)||isOrdered(S)!==isOrdered(C))return!1;if(S.size===0&&C.size===0)return!0;var R=!isAssociative(S);if(isOrdered(S)){var O=S.entries();return C.every(function(j,F){var V=O.next().value;return V&&is(V[1],j)&&(R||is(V[0],F))})&&O.next().done}var I=!1;if(S.size===void 0)if(C.size===void 0)typeof S.cacheResult=="function"&&S.cacheResult();else{I=!0;var N=S;S=C,C=N}var L=!0,B=C.__iterate(function(j,F){if(R?!S.has(j):I?!is(j,S.get(F,NOT_SET)):!is(S.get(F,NOT_SET),j))return L=!1,!1});return L&&S.size===B}function mixin(S,C){var R=function(O){S.prototype[O]=C[O]};return Object.keys(C).forEach(R),Object.getOwnPropertySymbols&&Object.getOwnPropertySymbols(C).forEach(R),S}function toJS(S){if(!S||typeof S!="object")return S;if(!isCollection(S)){if(!isDataStructure(S))return S;S=Seq(S)}if(isKeyed(S)){var C={};return S.__iterate(function(O,I){C[I]=toJS(O)}),C}var R=[];return S.__iterate(function(O){R.push(toJS(O))}),R}var Set$1=function(S){function C(R){return R==null?emptySet():isSet(R)&&!isOrdered(R)?R:emptySet().withMutations(function(O){var I=S(R);assertNotInfinite(I.size),I.forEach(function(N){return O.add(N)})})}return S&&(C.__proto__=S),C.prototype=Object.create(S&&S.prototype),C.prototype.constructor=C,C.of=function(){return this(arguments)},C.fromKeys=function(O){return this(KeyedCollection(O).keySeq())},C.intersect=function(O){return O=Collection$1(O).toArray(),O.length?SetPrototype.intersect.apply(C(O.pop()),O):emptySet()},C.union=function(O){return O=Collection$1(O).toArray(),O.length?SetPrototype.union.apply(C(O.pop()),O):emptySet()},C.prototype.toString=function(){return this.__toString("Set {","}")},C.prototype.has=function(O){return this._map.has(O)},C.prototype.add=function(O){return updateSet(this,this._map.set(O,O))},C.prototype.remove=function(O){return updateSet(this,this._map.remove(O))},C.prototype.clear=function(){return updateSet(this,this._map.clear())},C.prototype.map=function(O,I){var N=this,L=!1,B=updateSet(this,this._map.mapEntries(function(j){var F=j[1],V=O.call(I,F,F,N);return V!==F&&(L=!0),[V,V]},I));return L?B:this},C.prototype.union=function(){for(var O=[],I=arguments.length;I--;)O[I]=arguments[I];return O=O.filter(function(N){return N.size!==0}),O.length===0?this:this.size===0&&!this.__ownerID&&O.length===1?this.constructor(O[0]):this.withMutations(function(N){for(var L=0;L<O.length;L++)typeof O[L]=="string"?N.add(O[L]):S(O[L]).forEach(function(B){return N.add(B)})})},C.prototype.intersect=function(){for(var O=[],I=arguments.length;I--;)O[I]=arguments[I];if(O.length===0)return this;O=O.map(function(L){return S(L)});var N=[];return this.forEach(function(L){O.every(function(B){return B.includes(L)})||N.push(L)}),this.withMutations(function(L){N.forEach(function(B){L.remove(B)})})},C.prototype.subtract=function(){for(var O=[],I=arguments.length;I--;)O[I]=arguments[I];if(O.length===0)return this;O=O.map(function(L){return S(L)});var N=[];return this.forEach(function(L){O.some(function(B){return B.includes(L)})&&N.push(L)}),this.withMutations(function(L){N.forEach(function(B){L.remove(B)})})},C.prototype.sort=function(O){return OrderedSet(sortFactory(this,O))},C.prototype.sortBy=function(O,I){return OrderedSet(sortFactory(this,I,O))},C.prototype.wasAltered=function(){return this._map.wasAltered()},C.prototype.__iterate=function(O,I){var N=this;return this._map.__iterate(function(L){return O(L,L,N)},I)},C.prototype.__iterator=function(O,I){return this._map.__iterator(O,I)},C.prototype.__ensureOwner=function(O){if(O===this.__ownerID)return this;var I=this._map.__ensureOwner(O);return O?this.__make(I,O):this.size===0?this.__empty():(this.__ownerID=O,this._map=I,this)},C}(SetCollection);Set$1.isSet=isSet;var SetPrototype=Set$1.prototype;SetPrototype[IS_SET_SYMBOL]=!0,SetPrototype[DELETE]=SetPrototype.remove,SetPrototype.merge=SetPrototype.concat=SetPrototype.union,SetPrototype.withMutations=withMutations,SetPrototype.asImmutable=asImmutable,SetPrototype["@@transducer/init"]=SetPrototype.asMutable=asMutable,SetPrototype["@@transducer/step"]=function(S,C){return S.add(C)},SetPrototype["@@transducer/result"]=function(S){return S.asImmutable()},SetPrototype.__empty=emptySet,SetPrototype.__make=makeSet;function updateSet(S,C){return S.__ownerID?(S.size=C.size,S._map=C,S):C===S._map?S:C.size===0?S.__empty():S.__make(C)}function makeSet(S,C){var R=Object.create(SetPrototype);return R.size=S?S.size:0,R._map=S,R.__ownerID=C,R}var EMPTY_SET;function emptySet(){return EMPTY_SET||(EMPTY_SET=makeSet(emptyMap()))}var Range$1=function(S){function C(R,O,I){if(!(this instanceof C))return new C(R,O,I);if(invariant$2(I!==0,"Cannot step a Range by 0"),R=R||0,O===void 0&&(O=1/0),I=I===void 0?1:Math.abs(I),O<R&&(I=-I),this._start=R,this._end=O,this._step=I,this.size=Math.max(0,Math.ceil((O-R)/I-1)+1),this.size===0){if(EMPTY_RANGE)return EMPTY_RANGE;EMPTY_RANGE=this}}return S&&(C.__proto__=S),C.prototype=Object.create(S&&S.prototype),C.prototype.constructor=C,C.prototype.toString=function(){return this.size===0?"Range []":"Range [ "+this._start+"..."+this._end+(this._step!==1?" by "+this._step:"")+" ]"},C.prototype.get=function(O,I){return this.has(O)?this._start+wrapIndex(this,O)*this._step:I},C.prototype.includes=function(O){var I=(O-this._start)/this._step;return I>=0&&I<this.size&&I===Math.floor(I)},C.prototype.slice=function(O,I){return wholeSlice(O,I,this.size)?this:(O=resolveBegin(O,this.size),I=resolveEnd(I,this.size),I<=O?new C(0,0):new C(this.get(O,this._end),this.get(I,this._end),this._step))},C.prototype.indexOf=function(O){var I=O-this._start;if(I%this._step===0){var N=I/this._step;if(N>=0&&N<this.size)return N}return-1},C.prototype.lastIndexOf=function(O){return this.indexOf(O)},C.prototype.__iterate=function(O,I){for(var N=this.size,L=this._step,B=I?this._start+(N-1)*L:this._start,j=0;j!==N&&O(B,I?N-++j:j++,this)!==!1;)B+=I?-L:L;return j},C.prototype.__iterator=function(O,I){var N=this.size,L=this._step,B=I?this._start+(N-1)*L:this._start,j=0;return new Iterator(function(){if(j===N)return iteratorDone();var F=B;return B+=I?-L:L,iteratorValue(O,I?N-++j:j++,F)})},C.prototype.equals=function(O){return O instanceof C?this._start===O._start&&this._end===O._end&&this._step===O._step:deepEqual$1(this,O)},C}(IndexedSeq),EMPTY_RANGE;function getIn$1(S,C,R){for(var O=coerceKeyPath(C),I=0;I!==O.length;)if(S=get$2(S,O[I++],NOT_SET),S===NOT_SET)return R;return S}function getIn(S,C){return getIn$1(this,S,C)}function hasIn$1(S,C){return getIn$1(S,C,NOT_SET)!==NOT_SET}function hasIn(S){return hasIn$1(this,S)}function toObject$d(){assertNotInfinite(this.size);var S={};return this.__iterate(function(C,R){S[R]=C}),S}Collection$1.isIterable=isCollection,Collection$1.isKeyed=isKeyed,Collection$1.isIndexed=isIndexed,Collection$1.isAssociative=isAssociative,Collection$1.isOrdered=isOrdered,Collection$1.Iterator=Iterator,mixin(Collection$1,{toArray:function(){assertNotInfinite(this.size);var C=new Array(this.size||0),R=isKeyed(this),O=0;return this.__iterate(function(I,N){C[O++]=R?[N,I]:I}),C},toIndexedSeq:function(){return new ToIndexedSequence(this)},toJS:function(){return toJS(this)},toKeyedSeq:function(){return new ToKeyedSequence(this,!0)},toMap:function(){return Map$1(this.toKeyedSeq())},toObject:toObject$d,toOrderedMap:function(){return OrderedMap(this.toKeyedSeq())},toOrderedSet:function(){return OrderedSet(isKeyed(this)?this.valueSeq():this)},toSet:function(){return Set$1(isKeyed(this)?this.valueSeq():this)},toSetSeq:function(){return new ToSetSequence(this)},toSeq:function(){return isIndexed(this)?this.toIndexedSeq():isKeyed(this)?this.toKeyedSeq():this.toSetSeq()},toStack:function(){return Stack(isKeyed(this)?this.valueSeq():this)},toList:function(){return List$1(isKeyed(this)?this.valueSeq():this)},toString:function(){return"[Collection]"},__toString:function(C,R){return this.size===0?C+R:C+" "+this.toSeq().map(this.__toStringMapper).join(", ")+" "+R},concat:function(){for(var C=[],R=arguments.length;R--;)C[R]=arguments[R];return reify(this,concatFactory(this,C))},includes:function(C){return this.some(function(R){return is(R,C)})},entries:function(){return this.__iterator(ITERATE_ENTRIES)},every:function(C,R){assertNotInfinite(this.size);var O=!0;return this.__iterate(function(I,N,L){if(!C.call(R,I,N,L))return O=!1,!1}),O},filter:function(C,R){return reify(this,filterFactory(this,C,R,!0))},partition:function(C,R){return partitionFactory(this,C,R)},find:function(C,R,O){var I=this.findEntry(C,R);return I?I[1]:O},forEach:function(C,R){return assertNotInfinite(this.size),this.__iterate(R?C.bind(R):C)},join:function(C){assertNotInfinite(this.size),C=C!==void 0?""+C:",";var R="",O=!0;return this.__iterate(function(I){O?O=!1:R+=C,R+=I!=null?I.toString():""}),R},keys:function(){return this.__iterator(ITERATE_KEYS)},map:function(C,R){return reify(this,mapFactory(this,C,R))},reduce:function(C,R,O){return reduce(this,C,R,O,arguments.length<2,!1)},reduceRight:function(C,R,O){return reduce(this,C,R,O,arguments.length<2,!0)},reverse:function(){return reify(this,reverseFactory(this,!0))},slice:function(C,R){return reify(this,sliceFactory(this,C,R,!0))},some:function(C,R){assertNotInfinite(this.size);var O=!1;return this.__iterate(function(I,N,L){if(C.call(R,I,N,L))return O=!0,!1}),O},sort:function(C){return reify(this,sortFactory(this,C))},values:function(){return this.__iterator(ITERATE_VALUES)},butLast:function(){return this.slice(0,-1)},isEmpty:function(){return this.size!==void 0?this.size===0:!this.some(function(){return!0})},count:function(C,R){return ensureSize(C?this.toSeq().filter(C,R):this)},countBy:function(C,R){return countByFactory(this,C,R)},equals:function(C){return deepEqual$1(this,C)},entrySeq:function(){var C=this;if(C._cache)return new ArraySeq(C._cache);var R=C.toSeq().map(entryMapper).toIndexedSeq();return R.fromEntrySeq=function(){return C.toSeq()},R},filterNot:function(C,R){return this.filter(not(C),R)},findEntry:function(C,R,O){var I=O;return this.__iterate(function(N,L,B){if(C.call(R,N,L,B))return I=[L,N],!1}),I},findKey:function(C,R){var O=this.findEntry(C,R);return O&&O[0]},findLast:function(C,R,O){return this.toKeyedSeq().reverse().find(C,R,O)},findLastEntry:function(C,R,O){return this.toKeyedSeq().reverse().findEntry(C,R,O)},findLastKey:function(C,R){return this.toKeyedSeq().reverse().findKey(C,R)},first:function(C){return this.find(returnTrue,null,C)},flatMap:function(C,R){return reify(this,flatMapFactory(this,C,R))},flatten:function(C){return reify(this,flattenFactory(this,C,!0))},fromEntrySeq:function(){return new FromEntriesSequence(this)},get:function(C,R){return this.find(function(O,I){return is(I,C)},void 0,R)},getIn,groupBy:function(C,R){return groupByFactory(this,C,R)},has:function(C){return this.get(C,NOT_SET)!==NOT_SET},hasIn,isSubset:function(C){return C=typeof C.includes=="function"?C:Collection$1(C),this.every(function(R){return C.includes(R)})},isSuperset:function(C){return C=typeof C.isSubset=="function"?C:Collection$1(C),C.isSubset(this)},keyOf:function(C){return this.findKey(function(R){return is(R,C)})},keySeq:function(){return this.toSeq().map(keyMapper).toIndexedSeq()},last:function(C){return this.toSeq().reverse().first(C)},lastKeyOf:function(C){return this.toKeyedSeq().reverse().keyOf(C)},max:function(C){return maxFactory(this,C)},maxBy:function(C,R){return maxFactory(this,R,C)},min:function(C){return maxFactory(this,C?neg(C):defaultNegComparator)},minBy:function(C,R){return maxFactory(this,R?neg(R):defaultNegComparator,C)},rest:function(){return this.slice(1)},skip:function(C){return C===0?this:this.slice(Math.max(0,C))},skipLast:function(C){return C===0?this:this.slice(0,-Math.max(0,C))},skipWhile:function(C,R){return reify(this,skipWhileFactory(this,C,R,!0))},skipUntil:function(C,R){return this.skipWhile(not(C),R)},sortBy:function(C,R){return reify(this,sortFactory(this,R,C))},take:function(C){return this.slice(0,Math.max(0,C))},takeLast:function(C){return this.slice(-Math.max(0,C))},takeWhile:function(C,R){return reify(this,takeWhileFactory(this,C,R))},takeUntil:function(C,R){return this.takeWhile(not(C),R)},update:function(C){return C(this)},valueSeq:function(){return this.toIndexedSeq()},hashCode:function(){return this.__hash||(this.__hash=hashCollection(this))}});var CollectionPrototype=Collection$1.prototype;CollectionPrototype[IS_COLLECTION_SYMBOL]=!0,CollectionPrototype[ITERATOR_SYMBOL]=CollectionPrototype.values,CollectionPrototype.toJSON=CollectionPrototype.toArray,CollectionPrototype.__toStringMapper=quoteString,CollectionPrototype.inspect=CollectionPrototype.toSource=function(){return this.toString()},CollectionPrototype.chain=CollectionPrototype.flatMap,CollectionPrototype.contains=CollectionPrototype.includes,mixin(KeyedCollection,{flip:function(){return reify(this,flipFactory(this))},mapEntries:function(C,R){var O=this,I=0;return reify(this,this.toSeq().map(function(N,L){return C.call(R,[L,N],I++,O)}).fromEntrySeq())},mapKeys:function(C,R){var O=this;return reify(this,this.toSeq().flip().map(function(I,N){return C.call(R,I,N,O)}).flip())}});var KeyedCollectionPrototype=KeyedCollection.prototype;KeyedCollectionPrototype[IS_KEYED_SYMBOL]=!0,KeyedCollectionPrototype[ITERATOR_SYMBOL]=CollectionPrototype.entries,KeyedCollectionPrototype.toJSON=toObject$d,KeyedCollectionPrototype.__toStringMapper=function(S,C){return quoteString(C)+": "+quoteString(S)},mixin(IndexedCollection,{toKeyedSeq:function(){return new ToKeyedSequence(this,!1)},filter:function(C,R){return reify(this,filterFactory(this,C,R,!1))},findIndex:function(C,R){var O=this.findEntry(C,R);return O?O[0]:-1},indexOf:function(C){var R=this.keyOf(C);return R===void 0?-1:R},lastIndexOf:function(C){var R=this.lastKeyOf(C);return R===void 0?-1:R},reverse:function(){return reify(this,reverseFactory(this,!1))},slice:function(C,R){return reify(this,sliceFactory(this,C,R,!1))},splice:function(C,R){var O=arguments.length;if(R=Math.max(R||0,0),O===0||O===2&&!R)return this;C=resolveBegin(C,C<0?this.count():this.size);var I=this.slice(0,C);return reify(this,O===1?I:I.concat(arrCopy(arguments,2),this.slice(C+R)))},findLastIndex:function(C,R){var O=this.findLastEntry(C,R);return O?O[0]:-1},first:function(C){return this.get(0,C)},flatten:function(C){return reify(this,flattenFactory(this,C,!1))},get:function(C,R){return C=wrapIndex(this,C),C<0||this.size===1/0||this.size!==void 0&&C>this.size?R:this.find(function(O,I){return I===C},void 0,R)},has:function(C){return C=wrapIndex(this,C),C>=0&&(this.size!==void 0?this.size===1/0||C<this.size:this.indexOf(C)!==-1)},interpose:function(C){return reify(this,interposeFactory(this,C))},interleave:function(){var C=[this].concat(arrCopy(arguments)),R=zipWithFactory(this.toSeq(),IndexedSeq.of,C),O=R.flatten(!0);return R.size&&(O.size=R.size*C.length),reify(this,O)},keySeq:function(){return Range$1(0,this.size)},last:function(C){return this.get(-1,C)},skipWhile:function(C,R){return reify(this,skipWhileFactory(this,C,R,!1))},zip:function(){var C=[this].concat(arrCopy(arguments));return reify(this,zipWithFactory(this,defaultZipper,C))},zipAll:function(){var C=[this].concat(arrCopy(arguments));return reify(this,zipWithFactory(this,defaultZipper,C,!0))},zipWith:function(C){var R=arrCopy(arguments);return R[0]=this,reify(this,zipWithFactory(this,C,R))}});var IndexedCollectionPrototype=IndexedCollection.prototype;IndexedCollectionPrototype[IS_INDEXED_SYMBOL]=!0,IndexedCollectionPrototype[IS_ORDERED_SYMBOL]=!0,mixin(SetCollection,{get:function(C,R){return this.has(C)?C:R},includes:function(C){return this.has(C)},keySeq:function(){return this.valueSeq()}});var SetCollectionPrototype=SetCollection.prototype;SetCollectionPrototype.has=CollectionPrototype.includes,SetCollectionPrototype.contains=SetCollectionPrototype.includes,SetCollectionPrototype.keys=SetCollectionPrototype.values,mixin(KeyedSeq,KeyedCollectionPrototype),mixin(IndexedSeq,IndexedCollectionPrototype),mixin(SetSeq,SetCollectionPrototype);function reduce(S,C,R,O,I,N){return assertNotInfinite(S.size),S.__iterate(function(L,B,j){I?(I=!1,R=L):R=C.call(O,R,L,B,j)},N),R}function keyMapper(S,C){return C}function entryMapper(S,C){return[C,S]}function not(S){return function(){return!S.apply(this,arguments)}}function neg(S){return function(){return-S.apply(this,arguments)}}function defaultZipper(){return arrCopy(arguments)}function defaultNegComparator(S,C){return S<C?1:S>C?-1:0}function hashCollection(S){if(S.size===1/0)return 0;var C=isOrdered(S),R=isKeyed(S),O=C?1:0,I=S.__iterate(R?C?function(N,L){O=31*O+hashMerge(hash$1(N),hash$1(L))|0}:function(N,L){O=O+hashMerge(hash$1(N),hash$1(L))|0}:C?function(N){O=31*O+hash$1(N)|0}:function(N){O=O+hash$1(N)|0});return murmurHashOfSize(I,O)}function murmurHashOfSize(S,C){return C=imul(C,3432918353),C=imul(C<<15|C>>>-15,461845907),C=imul(C<<13|C>>>-13,5),C=(C+3864292196|0)^S,C=imul(C^C>>>16,2246822507),C=imul(C^C>>>13,3266489909),C=smi(C^C>>>16),C}function hashMerge(S,C){return S^C+2654435769+(S<<6)+(S>>2)|0}var OrderedSet=function(S){function C(R){return R==null?emptyOrderedSet():isOrderedSet(R)?R:emptyOrderedSet().withMutations(function(O){var I=SetCollection(R);assertNotInfinite(I.size),I.forEach(function(N){return O.add(N)})})}return S&&(C.__proto__=S),C.prototype=Object.create(S&&S.prototype),C.prototype.constructor=C,C.of=function(){return this(arguments)},C.fromKeys=function(O){return this(KeyedCollection(O).keySeq())},C.prototype.toString=function(){return this.__toString("OrderedSet {","}")},C}(Set$1);OrderedSet.isOrderedSet=isOrderedSet;var OrderedSetPrototype=OrderedSet.prototype;OrderedSetPrototype[IS_ORDERED_SYMBOL]=!0,OrderedSetPrototype.zip=IndexedCollectionPrototype.zip,OrderedSetPrototype.zipWith=IndexedCollectionPrototype.zipWith,OrderedSetPrototype.zipAll=IndexedCollectionPrototype.zipAll,OrderedSetPrototype.__empty=emptyOrderedSet,OrderedSetPrototype.__make=makeOrderedSet;function makeOrderedSet(S,C){var R=Object.create(OrderedSetPrototype);return R.size=S?S.size:0,R._map=S,R.__ownerID=C,R}var EMPTY_ORDERED_SET;function emptyOrderedSet(){return EMPTY_ORDERED_SET||(EMPTY_ORDERED_SET=makeOrderedSet(emptyOrderedMap()))}function throwOnInvalidDefaultValues(S){if(isRecord(S))throw new Error("Can not call `Record` with an immutable Record as default values. Use a plain javascript object instead.");if(isImmutable(S))throw new Error("Can not call `Record` with an immutable Collection as default values. Use a plain javascript object instead.");if(S===null||typeof S!="object")throw new Error("Can not call `Record` with a non-object as default values. Use a plain javascript object instead.")}var Record=function(C,R){var O;throwOnInvalidDefaultValues(C);var I=function(B){var j=this;if(B instanceof I)return B;if(!(this instanceof I))return new I(B);if(!O){O=!0;var F=Object.keys(C),V=N._indices={};N._name=R,N._keys=F,N._defaultValues=C;for(var K=0;K<F.length;K++){var W=F[K];V[W]=K,N[W]?typeof console=="object"&&console.warn&&console.warn("Cannot define "+recordName(this)+' with property "'+W+'" since that property name is part of the Record API.'):setProp(N,W)}}return this.__ownerID=void 0,this._values=List$1().withMutations(function(X){X.setSize(j._keys.length),KeyedCollection(B).forEach(function(J,oe){X.set(j._indices[oe],J===j._defaultValues[oe]?void 0:J)})}),this},N=I.prototype=Object.create(RecordPrototype);return N.constructor=I,R&&(I.displayName=R),I};Record.prototype.toString=function(){for(var C=recordName(this)+" { ",R=this._keys,O,I=0,N=R.length;I!==N;I++)O=R[I],C+=(I?", ":"")+O+": "+quoteString(this.get(O));return C+" }"},Record.prototype.equals=function(C){return this===C||isRecord(C)&&recordSeq(this).equals(recordSeq(C))},Record.prototype.hashCode=function(){return recordSeq(this).hashCode()},Record.prototype.has=function(C){return this._indices.hasOwnProperty(C)},Record.prototype.get=function(C,R){if(!this.has(C))return R;var O=this._indices[C],I=this._values.get(O);return I===void 0?this._defaultValues[C]:I},Record.prototype.set=function(C,R){if(this.has(C)){var O=this._values.set(this._indices[C],R===this._defaultValues[C]?void 0:R);if(O!==this._values&&!this.__ownerID)return makeRecord(this,O)}return this},Record.prototype.remove=function(C){return this.set(C)},Record.prototype.clear=function(){var C=this._values.clear().setSize(this._keys.length);return this.__ownerID?this:makeRecord(this,C)},Record.prototype.wasAltered=function(){return this._values.wasAltered()},Record.prototype.toSeq=function(){return recordSeq(this)},Record.prototype.toJS=function(){return toJS(this)},Record.prototype.entries=function(){return this.__iterator(ITERATE_ENTRIES)},Record.prototype.__iterator=function(C,R){return recordSeq(this).__iterator(C,R)},Record.prototype.__iterate=function(C,R){return recordSeq(this).__iterate(C,R)},Record.prototype.__ensureOwner=function(C){if(C===this.__ownerID)return this;var R=this._values.__ensureOwner(C);return C?makeRecord(this,R,C):(this.__ownerID=C,this._values=R,this)},Record.isRecord=isRecord,Record.getDescriptiveName=recordName;var RecordPrototype=Record.prototype;RecordPrototype[IS_RECORD_SYMBOL]=!0,RecordPrototype[DELETE]=RecordPrototype.remove,RecordPrototype.deleteIn=RecordPrototype.removeIn=deleteIn,RecordPrototype.getIn=getIn,RecordPrototype.hasIn=CollectionPrototype.hasIn,RecordPrototype.merge=merge$1$1,RecordPrototype.mergeWith=mergeWith$1,RecordPrototype.mergeIn=mergeIn,RecordPrototype.mergeDeep=mergeDeep,RecordPrototype.mergeDeepWith=mergeDeepWith,RecordPrototype.mergeDeepIn=mergeDeepIn,RecordPrototype.setIn=setIn,RecordPrototype.update=update,RecordPrototype.updateIn=updateIn,RecordPrototype.withMutations=withMutations,RecordPrototype.asMutable=asMutable,RecordPrototype.asImmutable=asImmutable,RecordPrototype[ITERATOR_SYMBOL]=RecordPrototype.entries,RecordPrototype.toJSON=RecordPrototype.toObject=CollectionPrototype.toObject,RecordPrototype.inspect=RecordPrototype.toSource=function(){return this.toString()};function makeRecord(S,C,R){var O=Object.create(Object.getPrototypeOf(S));return O._values=C,O.__ownerID=R,O}function recordName(S){return S.constructor.displayName||S.constructor.name||"Record"}function recordSeq(S){return keyedSeqFromValue(S._keys.map(function(C){return[C,S.get(C)]}))}function setProp(S,C){try{Object.defineProperty(S,C,{get:function(){return this.get(C)},set:function(R){invariant$2(this.__ownerID,"Cannot set on an immutable record."),this.set(C,R)}})}catch{}}/*! *****************************************************************************
-	Copyright (c) Microsoft Corporation.
-
-	Permission to use, copy, modify, and/or distribute this software for any
-	purpose with or without fee is hereby granted.
-
-	THE SOFTWARE IS PROVIDED "AS IS" AND THE AUTHOR DISCLAIMS ALL WARRANTIES WITH
-	REGARD TO THIS SOFTWARE INCLUDING ALL IMPLIED WARRANTIES OF MERCHANTABILITY
-	AND FITNESS. IN NO EVENT SHALL THE AUTHOR BE LIABLE FOR ANY SPECIAL, DIRECT,
-	INDIRECT, OR CONSEQUENTIAL DAMAGES OR ANY DAMAGES WHATSOEVER RESULTING FROM
-	LOSS OF USE, DATA OR PROFITS, WHETHER IN AN ACTION OF CONTRACT, NEGLIGENCE OR
-	OTHER TORTIOUS ACTION, ARISING OUT OF OR IN CONNECTION WITH THE USE OR
-	PERFORMANCE OF THIS SOFTWARE.
-	***************************************************************************** */var extendStatics=function(S,C){return extendStatics=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(R,O){R.__proto__=O}||function(R,O){for(var I in O)O.hasOwnProperty(I)&&(R[I]=O[I])},extendStatics(S,C)};function __extends$2(S,C){extendStatics(S,C);function R(){this.constructor=S}S.prototype=C===null?Object.create(C):(R.prototype=C.prototype,new R)}function isFunction$2(S){return typeof S=="function"}var _enable_super_gross_mode_that_will_cause_bad_things=!1,config$3={Promise:void 0,set useDeprecatedSynchronousErrorHandling(S){if(S){var C=new Error;""+C.stack}_enable_super_gross_mode_that_will_cause_bad_things=S},get useDeprecatedSynchronousErrorHandling(){return _enable_super_gross_mode_that_will_cause_bad_things}};function hostReportError(S){setTimeout(function(){throw S},0)}var empty={closed:!0,next:function(S){},error:function(S){if(config$3.useDeprecatedSynchronousErrorHandling)throw S;hostReportError(S)},complete:function(){}},isArray$g=function(){return Array.isArray||function(S){return S&&typeof S.length=="number"}}();function isObject$m(S){return S!==null&&typeof S=="object"}var UnsubscriptionErrorImpl=function(){function S(C){return Error.call(this),this.message=C?C.length+` errors occurred during unsubscription:
-`+C.map(function(R,O){return O+1+") "+R.toString()}).join(`
-  `):"",this.name="UnsubscriptionError",this.errors=C,this}return S.prototype=Object.create(Error.prototype),S}(),UnsubscriptionError=UnsubscriptionErrorImpl,Subscription=function(){function S(C){this.closed=!1,this._parentOrParents=null,this._subscriptions=null,C&&(this._ctorUnsubscribe=!0,this._unsubscribe=C)}return S.prototype.unsubscribe=function(){var C;if(!this.closed){var R=this,O=R._parentOrParents,I=R._ctorUnsubscribe,N=R._unsubscribe,L=R._subscriptions;if(this.closed=!0,this._parentOrParents=null,this._subscriptions=null,O instanceof S)O.remove(this);else if(O!==null)for(var B=0;B<O.length;++B){var j=O[B];j.remove(this)}if(isFunction$2(N)){I&&(this._unsubscribe=void 0);try{N.call(this)}catch(K){C=K instanceof UnsubscriptionError?flattenUnsubscriptionErrors(K.errors):[K]}}if(isArray$g(L))for(var B=-1,F=L.length;++B<F;){var V=L[B];if(isObject$m(V))try{V.unsubscribe()}catch(W){C=C||[],W instanceof UnsubscriptionError?C=C.concat(flattenUnsubscriptionErrors(W.errors)):C.push(W)}}if(C)throw new UnsubscriptionError(C)}},S.prototype.add=function(C){var R=C;if(!C)return S.EMPTY;switch(typeof C){case"function":R=new S(C);case"object":if(R===this||R.closed||typeof R.unsubscribe!="function")return R;if(this.closed)return R.unsubscribe(),R;if(!(R instanceof S)){var O=R;R=new S,R._subscriptions=[O]}break;default:throw new Error("unrecognized teardown "+C+" added to Subscription.")}var I=R._parentOrParents;if(I===null)R._parentOrParents=this;else if(I instanceof S){if(I===this)return R;R._parentOrParents=[I,this]}else if(I.indexOf(this)===-1)I.push(this);else return R;var N=this._subscriptions;return N===null?this._subscriptions=[R]:N.push(R),R},S.prototype.remove=function(C){var R=this._subscriptions;if(R){var O=R.indexOf(C);O!==-1&&R.splice(O,1)}},S.EMPTY=function(C){return C.closed=!0,C}(new S),S}();function flattenUnsubscriptionErrors(S){return S.reduce(function(C,R){return C.concat(R instanceof UnsubscriptionError?R.errors:R)},[])}var rxSubscriber=function(){return typeof Symbol=="function"?Symbol("rxSubscriber"):"@@rxSubscriber_"+Math.random()}(),Subscriber=function(S){__extends$2(C,S);function C(R,O,I){var N=S.call(this)||this;switch(N.syncErrorValue=null,N.syncErrorThrown=!1,N.syncErrorThrowable=!1,N.isStopped=!1,arguments.length){case 0:N.destination=empty;break;case 1:if(!R){N.destination=empty;break}if(typeof R=="object"){R instanceof C?(N.syncErrorThrowable=R.syncErrorThrowable,N.destination=R,R.add(N)):(N.syncErrorThrowable=!0,N.destination=new SafeSubscriber(N,R));break}default:N.syncErrorThrowable=!0,N.destination=new SafeSubscriber(N,R,O,I);break}return N}return C.prototype[rxSubscriber]=function(){return this},C.create=function(R,O,I){var N=new C(R,O,I);return N.syncErrorThrowable=!1,N},C.prototype.next=function(R){this.isStopped||this._next(R)},C.prototype.error=function(R){this.isStopped||(this.isStopped=!0,this._error(R))},C.prototype.complete=function(){this.isStopped||(this.isStopped=!0,this._complete())},C.prototype.unsubscribe=function(){this.closed||(this.isStopped=!0,S.prototype.unsubscribe.call(this))},C.prototype._next=function(R){this.destination.next(R)},C.prototype._error=function(R){this.destination.error(R),this.unsubscribe()},C.prototype._complete=function(){this.destination.complete(),this.unsubscribe()},C.prototype._unsubscribeAndRecycle=function(){var R=this._parentOrParents;return this._parentOrParents=null,this.unsubscribe(),this.closed=!1,this.isStopped=!1,this._parentOrParents=R,this},C}(Subscription),SafeSubscriber=function(S){__extends$2(C,S);function C(R,O,I,N){var L=S.call(this)||this;L._parentSubscriber=R;var B,j=L;return isFunction$2(O)?B=O:O&&(B=O.next,I=O.error,N=O.complete,O!==empty&&(j=Object.create(O),isFunction$2(j.unsubscribe)&&L.add(j.unsubscribe.bind(j)),j.unsubscribe=L.unsubscribe.bind(L))),L._context=j,L._next=B,L._error=I,L._complete=N,L}return C.prototype.next=function(R){if(!this.isStopped&&this._next){var O=this._parentSubscriber;!config$3.useDeprecatedSynchronousErrorHandling||!O.syncErrorThrowable?this.__tryOrUnsub(this._next,R):this.__tryOrSetError(O,this._next,R)&&this.unsubscribe()}},C.prototype.error=function(R){if(!this.isStopped){var O=this._parentSubscriber,I=config$3.useDeprecatedSynchronousErrorHandling;if(this._error)!I||!O.syncErrorThrowable?(this.__tryOrUnsub(this._error,R),this.unsubscribe()):(this.__tryOrSetError(O,this._error,R),this.unsubscribe());else if(O.syncErrorThrowable)I?(O.syncErrorValue=R,O.syncErrorThrown=!0):hostReportError(R),this.unsubscribe();else{if(this.unsubscribe(),I)throw R;hostReportError(R)}}},C.prototype.complete=function(){var R=this;if(!this.isStopped){var O=this._parentSubscriber;if(this._complete){var I=function(){return R._complete.call(R._context)};!config$3.useDeprecatedSynchronousErrorHandling||!O.syncErrorThrowable?(this.__tryOrUnsub(I),this.unsubscribe()):(this.__tryOrSetError(O,I),this.unsubscribe())}else this.unsubscribe()}},C.prototype.__tryOrUnsub=function(R,O){try{R.call(this._context,O)}catch(I){if(this.unsubscribe(),config$3.useDeprecatedSynchronousErrorHandling)throw I;hostReportError(I)}},C.prototype.__tryOrSetError=function(R,O,I){if(!config$3.useDeprecatedSynchronousErrorHandling)throw new Error("bad call");try{O.call(this._context,I)}catch(N){return config$3.useDeprecatedSynchronousErrorHandling?(R.syncErrorValue=N,R.syncErrorThrown=!0,!0):(hostReportError(N),!0)}return!1},C.prototype._unsubscribe=function(){var R=this._parentSubscriber;this._context=null,this._parentSubscriber=null,R.unsubscribe()},C}(Subscriber);function canReportError(S){for(;S;){var C=S,R=C.closed,O=C.destination,I=C.isStopped;if(R||I)return!1;O&&O instanceof Subscriber?S=O:S=null}return!0}function toSubscriber(S,C,R){if(S){if(S instanceof Subscriber)return S;if(S[rxSubscriber])return S[rxSubscriber]()}return!S&&!C&&!R?new Subscriber(empty):new Subscriber(S,C,R)}var observable$1=function(){return typeof Symbol=="function"&&Symbol.observable||"@@observable"}();function identity$5(S){return S}function pipeFromArray(S){return S.length===0?identity$5:S.length===1?S[0]:function(R){return S.reduce(function(O,I){return I(O)},R)}}var Observable$2=function(){function S(C){this._isScalar=!1,C&&(this._subscribe=C)}return S.prototype.lift=function(C){var R=new S;return R.source=this,R.operator=C,R},S.prototype.subscribe=function(C,R,O){var I=this.operator,N=toSubscriber(C,R,O);if(I?N.add(I.call(N,this.source)):N.add(this.source||config$3.useDeprecatedSynchronousErrorHandling&&!N.syncErrorThrowable?this._subscribe(N):this._trySubscribe(N)),config$3.useDeprecatedSynchronousErrorHandling&&N.syncErrorThrowable&&(N.syncErrorThrowable=!1,N.syncErrorThrown))throw N.syncErrorValue;return N},S.prototype._trySubscribe=function(C){try{return this._subscribe(C)}catch(R){config$3.useDeprecatedSynchronousErrorHandling&&(C.syncErrorThrown=!0,C.syncErrorValue=R),canReportError(C)?C.error(R):console.warn(R)}},S.prototype.forEach=function(C,R){var O=this;return R=getPromiseCtor(R),new R(function(I,N){var L;L=O.subscribe(function(B){try{C(B)}catch(j){N(j),L&&L.unsubscribe()}},N,I)})},S.prototype._subscribe=function(C){var R=this.source;return R&&R.subscribe(C)},S.prototype[observable$1]=function(){return this},S.prototype.pipe=function(){for(var C=[],R=0;R<arguments.length;R++)C[R]=arguments[R];return C.length===0?this:pipeFromArray(C)(this)},S.prototype.toPromise=function(C){var R=this;return C=getPromiseCtor(C),new C(function(O,I){var N;R.subscribe(function(L){return N=L},function(L){return I(L)},function(){return O(N)})})},S.create=function(C){return new S(C)},S}();function getPromiseCtor(S){if(S||(S=Promise),!S)throw new Error("no Promise impl found");return S}var ObjectUnsubscribedErrorImpl=function(){function S(){return Error.call(this),this.message="object unsubscribed",this.name="ObjectUnsubscribedError",this}return S.prototype=Object.create(Error.prototype),S}(),ObjectUnsubscribedError=ObjectUnsubscribedErrorImpl,SubjectSubscription=function(S){__extends$2(C,S);function C(R,O){var I=S.call(this)||this;return I.subject=R,I.subscriber=O,I.closed=!1,I}return C.prototype.unsubscribe=function(){if(!this.closed){this.closed=!0;var R=this.subject,O=R.observers;if(this.subject=null,!(!O||O.length===0||R.isStopped||R.closed)){var I=O.indexOf(this.subscriber);I!==-1&&O.splice(I,1)}}},C}(Subscription),SubjectSubscriber=function(S){__extends$2(C,S);function C(R){var O=S.call(this,R)||this;return O.destination=R,O}return C}(Subscriber),Subject=function(S){__extends$2(C,S);function C(){var R=S.call(this)||this;return R.observers=[],R.closed=!1,R.isStopped=!1,R.hasError=!1,R.thrownError=null,R}return C.prototype[rxSubscriber]=function(){return new SubjectSubscriber(this)},C.prototype.lift=function(R){var O=new AnonymousSubject(this,this);return O.operator=R,O},C.prototype.next=function(R){if(this.closed)throw new ObjectUnsubscribedError;if(!this.isStopped)for(var O=this.observers,I=O.length,N=O.slice(),L=0;L<I;L++)N[L].next(R)},C.prototype.error=function(R){if(this.closed)throw new ObjectUnsubscribedError;this.hasError=!0,this.thrownError=R,this.isStopped=!0;for(var O=this.observers,I=O.length,N=O.slice(),L=0;L<I;L++)N[L].error(R);this.observers.length=0},C.prototype.complete=function(){if(this.closed)throw new ObjectUnsubscribedError;this.isStopped=!0;for(var R=this.observers,O=R.length,I=R.slice(),N=0;N<O;N++)I[N].complete();this.observers.length=0},C.prototype.unsubscribe=function(){this.isStopped=!0,this.closed=!0,this.observers=null},C.prototype._trySubscribe=function(R){if(this.closed)throw new ObjectUnsubscribedError;return S.prototype._trySubscribe.call(this,R)},C.prototype._subscribe=function(R){if(this.closed)throw new ObjectUnsubscribedError;return this.hasError?(R.error(this.thrownError),Subscription.EMPTY):this.isStopped?(R.complete(),Subscription.EMPTY):(this.observers.push(R),new SubjectSubscription(this,R))},C.prototype.asObservable=function(){var R=new Observable$2;return R.source=this,R},C.create=function(R,O){return new AnonymousSubject(R,O)},C}(Observable$2),AnonymousSubject=function(S){__extends$2(C,S);function C(R,O){var I=S.call(this)||this;return I.destination=R,I.source=O,I}return C.prototype.next=function(R){var O=this.destination;O&&O.next&&O.next(R)},C.prototype.error=function(R){var O=this.destination;O&&O.error&&this.destination.error(R)},C.prototype.complete=function(){var R=this.destination;R&&R.complete&&this.destination.complete()},C.prototype._subscribe=function(R){var O=this.source;return O?this.source.subscribe(R):Subscription.EMPTY},C}(Subject),BehaviorSubject=function(S){__extends$2(C,S);function C(R){var O=S.call(this)||this;return O._value=R,O}return Object.defineProperty(C.prototype,"value",{get:function(){return this.getValue()},enumerable:!0,configurable:!0}),C.prototype._subscribe=function(R){var O=S.prototype._subscribe.call(this,R);return O&&!O.closed&&R.next(this._value),O},C.prototype.getValue=function(){if(this.hasError)throw this.thrownError;if(this.closed)throw new ObjectUnsubscribedError;return this._value},C.prototype.next=function(R){S.prototype.next.call(this,this._value=R)},C}(Subject),Action=function(S){__extends$2(C,S);function C(R,O){return S.call(this)||this}return C.prototype.schedule=function(R,O){return this},C}(Subscription),AsyncAction=function(S){__extends$2(C,S);function C(R,O){var I=S.call(this,R,O)||this;return I.scheduler=R,I.work=O,I.pending=!1,I}return C.prototype.schedule=function(R,O){if(O===void 0&&(O=0),this.closed)return this;this.state=R;var I=this.id,N=this.scheduler;return I!=null&&(this.id=this.recycleAsyncId(N,I,O)),this.pending=!0,this.delay=O,this.id=this.id||this.requestAsyncId(N,this.id,O),this},C.prototype.requestAsyncId=function(R,O,I){return I===void 0&&(I=0),setInterval(R.flush.bind(R,this),I)},C.prototype.recycleAsyncId=function(R,O,I){if(I===void 0&&(I=0),I!==null&&this.delay===I&&this.pending===!1)return O;clearInterval(O)},C.prototype.execute=function(R,O){if(this.closed)return new Error("executing a cancelled action");this.pending=!1;var I=this._execute(R,O);if(I)return 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C.prototype.schedule=function(R,O,I){return O===void 0&&(O=0),C.delegate&&C.delegate!==this?C.delegate.schedule(R,O,I):S.prototype.schedule.call(this,R,O,I)},C.prototype.flush=function(R){var O=this.actions;if(this.active){O.push(R);return}var I;this.active=!0;do if(I=R.execute(R.state,R.delay))break;while(R=O.shift());if(this.active=!1,I){for(;R=O.shift();)R.unsubscribe();throw I}},C}(Scheduler);function isScheduler(S){return S&&typeof S.schedule=="function"}var subscribeToArray=function(S){return function(C){for(var R=0,O=S.length;R<O&&!C.closed;R++)C.next(S[R]);C.complete()}};function scheduleArray(S,C){return new Observable$2(function(R){var O=new Subscription,I=0;return O.add(C.schedule(function(){if(I===S.length){R.complete();return}R.next(S[I++]),R.closed||O.add(this.schedule())})),O})}function fromArray(S,C){return C?scheduleArray(S,C):new Observable$2(subscribeToArray(S))}function of(){for(var S=[],C=0;C<arguments.length;C++)S[C]=arguments[C];var R=S[S.length-1];return isScheduler(R)?(S.pop(),scheduleArray(S,R)):fromArray(S)}var asyncScheduler=new AsyncScheduler(AsyncAction),async=asyncScheduler;function map$3(S,C){return function(O){if(typeof S!="function")throw new TypeError("argument is not a function. 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O.delayed.set(C,{proxy:L,proxyTarget:N}),L}create(C,R,O){const{beforeResolve:I,afterResolve:N,value:L,type:B}=R,j=L.inject;let F=[];j&&(F=Array.isArray(j)?this.resolveDeps(j,O):j.fn({container:this,ctx:O.ctx},...this.resolveDeps(j.deps,O)));const V=I?I({container:this,value:L.original,ctx:O.ctx},...F):L(...F);return N&&N({container:this,value:V,ctx:O.ctx}),O.requestedKeys.get(C).constructed=!0,B==="CLASS"&&"postConstruct"in V&&O.postConstruct.push(V),V}run(C,R,O,I){if(C===f$1.SINGLETON||C===f$1.CONTAINER_SINGLETON){var N;if(!this.pool.has(R)&&C===f$1.SINGLETON)return(N=this.parent)==null?void 0:N.resolve(R);const B=I.singletonCache.get(R);if(B!==void 0)return B===p$1?void 0:B;{let j=O();return j===void 0&&(j=p$1),this.singletonCache.set(R,j),j}}if(f$1.REQUEST===C){const B=I.requestCache.get(R);if(B!==void 0)return B===p$1?void 0:B;{let j=O();return j===void 0&&(j=p$1),I.requestCache.set(R,j),j}}const L=O();return I.transientCache.set(R,L),L}};function isClassProvider(S){return hasOwn$l(S,"useClass")}function isFactoryProvider(S){return hasOwn$l(S,"useFactory")}function isValueProvider(S){return hasOwn$l(S,"useValue")}function isTokenProvider(S){return hasOwn$l(S,"useToken")}const SINGLETON=Symbol("singleton");function isConstructor$4(S){return typeof S=="function"&&!!S.inject}function getClassScope(S){return S[SINGLETON]?"SINGLETON":S.scope?S.scope:"TRANSIENT"}class DependencyContainer extends d$1{constructor(){super(...arguments),this.name="DependencyContainer"}bindValue(C,R){return this.has(C,!1)&&this.unbind(C),super.bindValue(C,R)}bindClass(C,R,O){const I=(O==null?void 0:O.scope)??getClassScope(C);return super.bindClass(C,R,{...O,scope:I})}register(C,R){if(isValueProvider(R))this.bindValue(C,R.useValue);else if(isFactoryProvider(R)){const{useFactory:O}=R;this.bindFactory(C,{value:O,inject:[ContainerToken]},{scope:R.scope})}else if(isTokenProvider(R))this.bindFactory(C,{value:O=>O,inject:[R.useToken]});else if(isClassProvider(R)){const O=R.scope??getClassScope(R.useClass);this.bindClass(C,R.useClass,{scope:O})}}_resolve(C,R,O){if(!this.getInjectable(C)&&isConstructor$4(C)){const I=getClassScope(C);this.bindClass(C,C,{scope:I})}return super._resolve(C,R,O)}}const getGlobalContainer=()=>{const S=new DependencyContainer;return S.name="global",isDev$3?new Proxy(S,{get(C,R,O){return R==="resolve"?(I,N)=>(console.error("WARNING: trying to resolve from global DependencyContainer: ",I),C.resolve(I,N)):Reflect.get(C,R,O)}}):S},container=getGlobalContainer();function createInjectionToken(S,C){return container.bindValue(S,C),S}const ContainerToken=createInjectionToken("DependencyContainer",container),ServicesContext=reactExports.createContext(container),createRegistry=({provide:S,name:C})=>({containerRef:O,onInitialize:I,onDispose:N,children:L})=>{const B=reactExports.useContext(ServicesContext),j=reactExports.useMemo(()=>{const F=B.child();return C&&(F.name=C),S==null||S.forEach(V=>{F.register(V.token,V)}),F.bindValue(ContainerToken,F),I==null||I(F),F},[I,B]);return reactExports.useImperativeHandle(O,()=>j,[j]),reactExports.useEffect(()=>()=>{N==null||N(j),j.unbindAll(!0)},[j]),jsxRuntimeExports.jsx(ServicesContext.Provider,{value:j,children:L})};createInjectionToken("isControlFlowEnabledToken",!1),createInjectionToken("isDoWhileLoopEnabledToken",!1),createInjectionToken("isAnnotationEnabledToken",!1),createInjectionToken("isDesignerUnifiedSubmissionFlowEnabledToken",!1),createInjectionToken("isPipelineComputeDatastoreEnabledToken",!1),createInjectionToken("TransactionalAuthoringEnabled",!1),createInjectionToken("ComponentSettingsEnabled",!1),createInjectionToken("isPipelineOwnerToken",!1),createInjectionToken("isExecutionPhaseEnabledToken",!1),createInjectionToken("isPipelineStreamingEnabledToken",!1),createInjectionToken("useFocusedNodeId",()=>{}),createInjectionToken("useIsInSearchResult",()=>!1),createInjectionToken("dismissCompareCheckListPanel",()=>null);const promptFlowGraphReducer=S=>(C,R)=>S(C,R),graphReducer=()=>getGraphReducer(promptFlowGraphReducer);let Computed$1=class dC extends Observable$2{constructor(C,R){super(O=>this.state$.subscribe(O)),this.getSnapshot=()=>this.state$.getValue(),this.state$=new BehaviorSubject(C),this.subscription=R.subscribe(this.state$)}static fromStates(C,R){const O=R(C.map(N=>N.getSnapshot())),I=combineLatest(C).pipe(map$3(R));return new dC(O,I)}destroy(){this.subscription.unsubscribe()}},State$1=class extends BehaviorSubject{constructor(){super(...arguments),this.getState=()=>this.getValue(),this.setState=C=>{this.next(C)},this.updateState=C=>{this.next(C(this.getValue()))},this.getSnapshot=()=>this.getValue()}next(C,R){!R&&this.value===C||super.next(C)}copyFrom(C){this.next(C.getSnapshot())}};const zp=class zp{constructor(){this.nodesIndex$=new State$1(List$1()),this.allNodeNames$=Computed$1.fromStates([],()=>List$1()),this.orientation$=new State$1(Orientation$1.Vertical),this.language$=new State$1(void 0)}tweakFlattenNodeOrder(C,R){const O=this.nodesIndex$.getSnapshot(),I=O.findIndex(L=>L===C),N=I+R;if(I>=0&&N>=0&&N<O.size){const L=O.get(I),B=O.get(N);this.nodesIndex$.setState(O.set(I,B).set(N,L))}}};zp.inject=[];let FlowViewModelShared=zp;class ObservableCollection extends State$1{constructor(){super(...arguments),this.listeners=new Map}get(C){return this.getValue().get(C)}has(C){return this.getValue().has(C)}observeKey(C){return new Observable$2(R=>(this.addListener(C,R),R.next(this.get(C)),()=>{this.removeListener(C,R)}))}notify(C){var R;(R=this.listeners.get(C))==null||R.forEach(O=>{O.next(this.get(C))})}next(C){const R=this.getSnapshot();super.next(C);const O=new Set;R.forEach((I,N)=>{C.has(N)||O.add(N)}),C.forEach((I,N)=>{R.has(N)&&Object.is(R.get(N),I)||O.add(N)}),O.forEach(I=>{this.notify(I)})}addListener(C,R){let O=this.listeners.get(C);O||(O=new Set,this.listeners.set(C,O)),O.add(R)}removeListener(C,R){const O=this.listeners.get(C);O&&(O.delete(R),O.size===0&&this.listeners.delete(C))}}class ObservableMap extends ObservableCollection{constructor(){super(Map$1())}set(C,R){return this.updateState(O=>O.set(C,R)),this}update(C,R){return this.updateState(O=>O.update(C,R)),this}delete(C){return this.updateState(R=>R.delete(C)),this}deleteAll(C){return this.updateState(R=>R.deleteAll(C)),this}clear(){return this.next(Map$1()),this}merge(C){return this.updateState(R=>R.merge(C)),this}}class ObservableOrderedMap extends ObservableCollection{constructor(){super(OrderedMap())}set(C,R){return this.updateState(O=>O.set(C,R)),this}update(C,R){return this.updateState(O=>O.update(C,R)),this}delete(C){return this.updateState(R=>R.delete(C)),this}deleteAll(C){return this.updateState(R=>R.deleteAll(C)),this}clear(){return this.next(OrderedMap()),this}merge(C){return this.updateState(R=>R.merge(C)),this}insertBefore(C,R,O){return this.updateState(I=>OrderedMap().withMutations(N=>{for(const[L,B]of I.entries())C===L&&N.set(R,O),N.set(L,B)})),this.notify(R),this}insertAfter(C,R,O){return this.updateState(I=>OrderedMap().withMutations(N=>{for(const[L,B]of I.entries())N.set(L,B),C===L&&N.set(R,O)})),this.notify(R),this}}var _a$5;const $f=class $f extends FlowViewModelShared{constructor(){super(),this.isWorkspaceReady$=new State$1(!1),this.currentNodeId$=new State$1(void 0),this.graphConfig=GraphConfigBuilder.default().build(),this.graphReducer=graphReducer(),this.isReadonly$=new State$1(!1),this.name$=new State$1(""),this.flowType$=new State$1(FlowType.Default),this.owner$=new State$1(void 0),this.isArchived$=new State$1(!1),this.selectedStepId$=new State$1(void 0),this.tools$=new ObservableOrderedMap,this.toolsStatus$=new ObservableOrderedMap,this.batchInputs$=new State$1([]),this.bulkRunDataReference$=new State$1(void 0),this.chatMessages$=new State$1([]),this.nodeVariants$=new ObservableOrderedMap,this.tuningNodeNames$=new State$1([]),this.inputSpec$=new ObservableOrderedMap,this.selectedBulkIndex$=new State$1(void 0),this.nodeRuns$=new ObservableOrderedMap,this.flowRuns$=new State$1([]),this.rootFlowRunMap$=new ObservableMap,this.flowOutputs$=new ObservableOrderedMap,this.connections$=new ObservableOrderedMap,this.promptToolSetting$=new State$1(void 0),this.userInfo$=new State$1(void 0),this.bulkRunDescription$=new State$1(""),this.bulkRunTags$=new State$1([]),this.nodeParameterTypes$=new ObservableMap,this.theme$=new State$1(void 0),this.selectedRuntimeName$=new State$1(void 0),this.connectionList$=new State$1([]),this.connectionSpecList$=new State$1([]),this.connectionDeployments$=new ObservableOrderedMap,this.connectionDeploymentsLoading$=new ObservableOrderedMap,this.runStatus$=new State$1(void 0),this.flowRunType$=new State$1(void 0),this.packageToolsDictionary$=new ObservableMap,this.codeToolsDictionary$=new ObservableMap,this.isToolsJsonReady$=new State$1(!1),this.flowGraphLayout$=new State$1(void 0),this.flowUIHint$=new State$1(void 0),this.isInitialized$=new State$1(!1),this.flowFeatures$=new State$1(new Set),this.loaded=!1,this._allLlmParameterKeys=[],new Set(dataReadonlyMode).add(GraphFeatures.AutoFit);const R=new Set;R.add(FlowFeatures.OpenCodeFileInNode),this.flowFeatures$.next(R),this.canvasState$=new State$1(createGraphState({settings:{graphConfig:this.graphConfig,canvasBoundaryPadding:{top:800,bottom:800}},data:GraphModel.empty()})),this.allNodeNames$=Computed$1.fromStates([this.nodeVariants$],([O])=>List$1(Array.from(O.keys()).filter(I=>!!I&&I!==FLOW_INPUT_NODE_NAME&&I!==FLOW_OUTPUT_NODE_NAME))),merge$3(this.flowOutputs$,this.batchInputs$,this.inputSpec$,this.selectedRuntimeName$,this.bulkRunTags$,this.nodeVariants$,this.codeToolsDictionary$,this.packageToolsDictionary$).pipe(filter$4(()=>this.loaded),filter$4(()=>this.isInitialized$.getSnapshot()),debounceTime(100)).subscribe(()=>{this.notifyFlowChange()}),merge$3(this.flowGraphLayout$,this.orientation$).pipe(debounceTime(100)).subscribe(()=>{this.notifyLayoutChange()}),merge$3(this.flowUIHint$).pipe(debounceTime(100)).subscribe(()=>{this.notifyUIHintChange()}),this.invalidStepInputs$=Computed$1.fromStates([this.nodeVariants$,this.codeToolsDictionary$,this.packageToolsDictionary$,this.connectionList$,this.inputSpec$,this.nodeParameterTypes$],([O,I,N,L,B,j])=>this.validateNodeInputs(O))}attemptToRenameStep(C,R){if(!checkNodeNameValid(R))return`step name ${R} is not valid`;if(this.nodeVariants$.get(R))return`step with name ${R} already exists`;if(!this.nodeVariants$.get(C))return`step ${C} not found`;const I=(L,B,j)=>{const F={...L};return Object.keys(F).forEach(V=>{const K=F[V],W=getRefValueFromRaw(K),[X]=(W==null?void 0:W.split("."))??[];X===B&&(F[V]=K.replace(`${B}`,`${j}`))}),F},N=(L,B,j)=>{if(!L)return;const F={};return Object.entries(L).forEach(([V,K])=>{var W,X,J;F[V]={...K,node:{...K.node,name:((W=K.node)==null?void 0:W.name)===B?j:(X=K.node)==null?void 0:X.name,inputs:I(((J=K.node)==null?void 0:J.inputs)??{},B,j)}}}),F};reactDomExports.unstable_batchedUpdates(()=>{this.nodeVariants$.updateState(L=>L.mapEntries(([B,j])=>{const F={...j,variants:N(j.variants,C,R)};return[B===C?R:B,F]})),this.flowGraphLayout$.updateState(L=>({...L,nodeLayouts:renameKeyInObject((L==null?void 0:L.nodeLayouts)??{},C,R)})),this.flowUIHint$.updateState(L=>({...L,nodes:renameKeyInObject((L==null?void 0:L.nodes)??{},C,R)})),this.currentNodeId$.getSnapshot()===C&&this.currentNodeId$.next(R),this.selectedStepId$.getSnapshot()===C&&this.selectedStepId$.next(R),this.nodeRuns$.getSnapshot().forEach((L,B)=>{if(L.node===C){const[,j,F,V]=B.split("#"),K=parseInt(j,10);this.nodeRuns$.set(this.getNodeRunKey(R,isNaN(K)?0:K,F,V),{...L,node:R}),this.nodeRuns$.delete(B)}})})}acceptFlowEdit(C,R){C!==this.viewType&&this.loadFlow(R)}loadSampleFlow(C){this.loaded=!1;try{reactDomExports.unstable_batchedUpdates(()=>{this.loadFlowDto(C)}),this.loaded=!0}catch(R){throw this.loaded=!0,R}}loadFlow(C){this.loaded=!1;try{reactDomExports.unstable_batchedUpdates(()=>{this.baseEntity=C,this.owner$.next(C.owner),this.isArchived$.next(C.isArchived??!1),this.loadFlowDto(C),C.flowRunResult&&this.loadStatus(C.flowRunResult)}),this.loaded=!0}catch(R){throw this.loaded=!0,R}}loadCodeTool(C,R){this.codeToolsDictionary$.set(C,R)}loadPackageTool(C,R){this.packageToolsDictionary$.set(C,R)}toBatchRequestData(){return{flow:{flowGraph:this.toFlowGraph(),nodeVariants:this.toNodeVariants(),flowGraphLayout:this.flowGraphLayout$.getSnapshot()},flowSubmitRunSettings:{...this.toFlowRunSettings()},flowRunDisplayName:this.name$.getSnapshot()}}toAddOnEvaluationRequestData(){return{flowSubmitRunSettings:{...this.toFlowRunSettings()}}}loadStatus(C){var N;this.clearStatus();let R=0;const O=[],I=new Map;if((N=C.flow_runs)!=null&&N.length){for(const L of C.flow_runs)L.index===null?I.set(L.run_id,L):(R=L.index,O.push(L));O.sort((L,B)=>{var j;return L.root_run_id===B.root_run_id?(L.index??0)-(B.index??0):L.variant_id&&B.variant_id?L.variant_id.localeCompare(B.variant_id):((j=L.root_run_id)==null?void 0:j.localeCompare((B==null?void 0:B.root_run_id)??""))??0}),this.flowRuns$.next(O),this.rootFlowRunMap$.next(Map$1(I))}C.flowRunType&&this.flowRunType$.next(C.flowRunType),C.runStatus&&this.runStatus$.next(C.runStatus),this.loadNodesStatus(C.node_runs||[]),this.selectedBulkIndex$.next(R)}loadNodesStatus(C){const R=this.tuningNodeNames$.getSnapshot()[0];C.forEach(O=>{const I=O.node===R,N=this.getDefaultVariantId(O.node),L=O.variant_id||N,B=I?L:N,j=this.getNodeRunKey(O.node,O.index??0,B,L);this.nodeRuns$.set(j,O)})}loadSingleNodeRunStatus(C,R,O){this.resetNodesStatus(C,R),O.forEach(I=>{const N=this.getDefaultVariantId(I.node),L=I.variant_id||N,B=I.variant_id||N,j=this.getNodeRunKey(I.node,I.index??0,B,L);this.nodeRuns$.set(j,I)})}resetNodesStatus(C,R){this.nodeRuns$.updateState(O=>O.filter(I=>{if(I.node!==C)return!0;const N=this.getDefaultVariantId(I.node);return(I.variant_id||N)!==R}))}clearStatus(){this.selectedBulkIndex$.next(void 0),this.nodeRuns$.clear(),this.flowRuns$.next([]),this.rootFlowRunMap$.clear()}getDefaultVariantId(C){var R;return((R=this.nodeVariants$.get(C))==null?void 0:R.defaultVariantId)||BASELINE_VARIANT_ID}setStepInput(C,R,O,I){const N=this.getNode(C,I);if(!(N!=null&&N.name))return;const L={...N,inputs:{...N.inputs,[R]:O}};this.setNode(C,I,L)}removeStepInputs(C,R,O){const I=this.getNode(C,O);if(!(I!=null&&I.name))return;const N={...I.inputs};R.forEach(B=>{delete N[B]});const L={...I,inputs:N};this.setNode(C,O,L)}renameStepInput(C,R,O){const I=this.getNode(C,BASELINE_VARIANT_ID);if(!(I!=null&&I.name))return;const N={...I,inputs:renameKeyInObject(I.inputs??{},R,O)};this.setNode(C,BASELINE_VARIANT_ID,N)}setStepActivate(C,R,O){const I=this.getNode(C,R);if(!(I!=null&&I.name))return;const N={...I,activate:O};this.setNode(C,R,N)}setStepKeyValue(C,R,O,I){const N=this.getNode(C,I);if(!(N!=null&&N.name))return;const L={...N,[R]:O};this.setNode(C,I,L)}setStepSourcePath(C,R,O){const I=this.getNode(C,O);if(!(I!=null&&I.name))return;const N={...I,source:{...I.source,path:R}};this.setNode(C,O,N)}setBatchInput(C,R,O){const I=this.batchInputs$.getSnapshot();if(!I[C])return;const N=[...I];N[C]={...N[C],[R]:O},this.batchInputs$.setState(N)}setBulkRunTag(C,R,O){const I=[...this.bulkRunTags$.getSnapshot()];if(!I[C])return;const N={};N[R]=O,I[C]=N,this.bulkRunTags$.next(I)}deleteBulkRunTag(C){const R=[...this.bulkRunTags$.getSnapshot()];R.splice(C,1),this.bulkRunTags$.next(R)}addBulkRunTagRow(){const C=this.bulkRunTags$.getSnapshot(),R={"":""};this.bulkRunTags$.next([...C,R])}getNodeRunKey(C,R,O=BASELINE_VARIANT_ID,I=BASELINE_VARIANT_ID){return`${C}#${R}#${O}#${I}`}dispatch(C){var N;let R="";switch(C.type){case GraphCanvasEvent.Click:this.currentNodeId$.next(void 0);break;case GraphNodeEvent.Click:this.currentNodeId$.next(C.node.id,!0);break;case GraphNodeEvent.DragEnd:{R=C.node.name??"";break}}const O=this.canvasState$.getSnapshot(),I=this.graphReducer(O,C);if(this.canvasState$.next(I),R){const L=I.data.present.nodes.find(F=>F.name===R),B=this.flowGraphLayout$.getSnapshot(),j={...B,nodeLayouts:{...B==null?void 0:B.nodeLayouts,[R]:{...(N=B==null?void 0:B.nodeLayouts)==null?void 0:N[R],x:L==null?void 0:L.x,y:L==null?void 0:L.y}}};this.flowGraphLayout$.next(j)}}setGraphConfig(C){this.graphConfig=C;const R=this.canvasState$.getSnapshot();this.canvasState$.next({...R,settings:{...R.settings,graphConfig:C}})}toFlowGraph(){const C=this.nodeVariants$.getSnapshot(),R=getDefaultNodeList(List$1.of(...C.keys()),C);return{inputs:this.inputSpec$.getSnapshot().toJSON(),outputs:this.flowOutputs$.getSnapshot().toJSON(),nodes:R,tools:void 0}}toFlowGraphSnapshot(C){const R=lodashExports.mapValues(this.inputSpec$.getSnapshot().toJSON(),j=>{j.default!==void 0&&(j.default=convertValByType(j.default,j.type));const{name:F,id:V,...K}=j;return K}),O=lodashExports.mapValues(this.flowOutputs$.getSnapshot().toJSON(),j=>{const{name:F,id:V,...K}=j;return K}),N=getNodesThatMoreThanOneVariant(C).map(j=>j.nodeName),L=getFlowSnapshotNodeList(List$1.of(...Object.keys(C)),C,N),B=getVariantNodes(C);return{inputs:R,outputs:O,nodes:L,node_variants:B}}toNodeVariants(){const C=this.nodeVariants$.getSnapshot().toJSON(),R={};return Object.keys(C).forEach(O=>{const I=C[O],N={};Object.keys(I.variants??{}).forEach(L=>{const B=(I.variants??{})[L];N[L]={...B,node:B.node?this.pruneNodeInputs(B.node):void 0}}),R[O]={...I,variants:N}}),R}toFlowRunSettings(){var C,R;return{tuningNodeNames:this.tuningNodeNames$.getSnapshot(),variants:void 0,runtimeName:(C=this.selectedRuntimeName$)==null?void 0:C.getSnapshot(),description:this.bulkRunDescription$.getSnapshot(),tags:Object.assign({},...this.bulkRunTags$.getSnapshot()),...this.bulkRunDataReference$.getSnapshot()!==void 0?{batchDataInput:{dataUri:(R=this.bulkRunDataReference$.getSnapshot())==null?void 0:R.id}}:{batch_inputs:this.batchInputs$.getSnapshot()}}}toJSON(){const C=this.toNodeVariants();return{...this.baseEntity,flow:{flowGraph:this.toFlowGraphSnapshot(C)},flowName:this.name$.getSnapshot(),flowRunSettings:this.toFlowRunSettings()}}toFlowGraphLayout(){const C=this.flowGraphLayout$.getSnapshot()??{},R=Array.from(this.nodeVariants$.getSnapshot().keys()),O={...C.nodeLayouts};return Object.keys(O).forEach(I=>{O[I]={...O[I],index:R.indexOf(I)}}),{...C,nodeLayouts:O,orientation:this.orientation$.getSnapshot()}}toFlowUIHint(){return this.flowUIHint$.getSnapshot()??{nodes:{}}}updateToolCode(C,R){const O=this.codeToolsDictionary$.get(C);O&&this.codeToolsDictionary$.set(C,{...O,code:R})}updateToolStatus(C,R){const O=this.toolsStatus$.get(C);this.toolsStatus$.set(C,{...O,...R})}updateFlowInput(C,R){const O=this.batchInputs$.getSnapshot(),I=O==null?void 0:O[0];let N=R;try{const L=JSON.parse(R);N=JSON.stringify(L)}catch{N=R}this.batchInputs$.next([{...I,[C]:N},...O.slice(1)])}addNewNode(C,R){if(!C.name)return;const O=C,I={defaultVariantId:BASELINE_VARIANT_ID,variants:{[BASELINE_VARIANT_ID]:{node:O}}};R?this.nodeVariants$.insertBefore(R,C.name,I):this.nodeVariants$.set(C.name,I)}patchEditData(C){var R,O,I,N;switch(C.type){case"chatInput":{if(this.flowType$.getSnapshot()!==FlowType.Chat)return;const L=this.batchInputs$.getSnapshot(),B=((R=this.getChatInputDefinition())==null?void 0:R.name)??DEFAULT_CHAT_INPUT_NAME;this.batchInputs$.next([{...L[0],[B]:C.value}]);break}case"chatHistory":{if(this.flowType$.getSnapshot()!==FlowType.Chat)return;const L=this.batchInputs$.getSnapshot(),B=((O=this.getChatHistoryDefinition())==null?void 0:O.name)??DEFAULT_CHAT_HISTORY_NAME,j=((I=this.getChatInputDefinition())==null?void 0:I.name)??DEFAULT_CHAT_INPUT_NAME,F=((N=this.getChatOutputDefinition())==null?void 0:N.name)??DEFAULT_CHAT_OUTPUT_NAME;this.batchInputs$.next([{...L[0],[B]:[...L[0][B],{inputs:{[j]:C.value.chatInput},outputs:{[F]:C.value.chatOutput}}].slice(-10)}]);break}case"flowGraph":{try{this.loaded=!1,reactDomExports.unstable_batchedUpdates(()=>{this.loadFlorGraph(C.value)})}finally{this.loaded=!0}break}default:{const L=C;throw new Error(`Didn't expect to get here: ${L}`)}}}getChatInputDefinition(){return this.inputSpec$.getSnapshot().find(isChatInput)}getChatHistoryDefinition(){const C=this.flowType$.getSnapshot();return this.inputSpec$.getSnapshot().find(R=>isChatHistory(C,R))}getChatOutputDefinition(){return this.flowOutputs$.getSnapshot().find(isChatOutput)}clearChatMessages(){this.chatMessages$.next([]),this.syncChatMessagesToInputsValues([])}getProviderByConnection(C){var L;if(!C)return;const R=this.connectionList$.getSnapshot(),O=this.promptToolSetting$.getSnapshot(),I=R.find(B=>B.connectionName===C);if(!I)return;const N=(L=O==null?void 0:O.providers)==null?void 0:L.find(B=>{var j;return I.connectionType&&((j=B.connection_type)==null?void 0:j.includes(I.connectionType))});if(N)return N.provider}addFlowInput(C,R){this.inputSpec$.set(C,{...R,name:C,id:(R==null?void 0:R.id)??getRandomInputDefinitionId()})}addFlowOutput(C,R){this.flowOutputs$.set(C,{...R,name:C,id:(R==null?void 0:R.id)??getRandomOutputDefinitionId()})}loadFlorGraph(C){var N;const R=(C==null?void 0:C.nodes)||[],O=(C==null?void 0:C.outputs)||{},I=(C==null?void 0:C.inputs)||{};this.nodeVariants$.clear(),R.forEach(L=>{L.name&&(this.nodeVariants$.get(L.name)||this.nodeVariants$.set(L.name,{defaultVariantId:BASELINE_VARIANT_ID,variants:{[BASELINE_VARIANT_ID]:{node:L}}}))}),(N=Object.entries((C==null?void 0:C.node_variants)??{}))==null||N.forEach(([L,B])=>{const j={...B.variants};Object.entries(j).forEach(([F,V])=>{V.node&&(V.node.name=L)}),this.nodeVariants$.set(L,{defaultVariantId:B.default_variant_id??BASELINE_VARIANT_ID,variants:j})}),this.flowOutputs$.clear(),Object.keys(O).forEach(L=>{const B=O[L];B&&this.addFlowOutput(L,B)}),this.inputSpec$.clear(),Object.keys(I).forEach(L=>{const B=I[L];B&&this.addFlowInput(L,B)})}loadFlowDto(C){var R,O,I,N,L,B,j,F,V,K,W,X,J,oe;if(this.name$.next(C.flowName??""),this.flowType$.next(C.flowType??FlowType.Default),this.loadFlorGraph((R=C.flow)==null?void 0:R.flowGraph),(O=C.flow)!=null&&O.nodeVariants&&((N=Object.entries(((I=C.flow)==null?void 0:I.nodeVariants)??{}))==null||N.forEach(([pe,me])=>{this.nodeVariants$.set(pe,{...me,defaultVariantId:me.defaultVariantId??BASELINE_VARIANT_ID})})),(B=(L=C.flow)==null?void 0:L.flowGraphLayout)!=null&&B.nodeLayouts){const pe=(j=C.flow)==null?void 0:j.flowGraphLayout;this.flowGraphLayout$.next(pe),pe.orientation&&this.orientation$.next(pe.orientation)}if(this.selectedRuntimeName$.setState(((F=C.flowRunSettings)==null?void 0:F.runtimeName)??""),this.batchInputs$.setState(((V=C.flowRunSettings)==null?void 0:V.batch_inputs)??[{}]),this.tuningNodeNames$.setState(((K=C.flowRunSettings)==null?void 0:K.tuningNodeNames)??[]),this.bulkRunDescription$.next(C.description??""),this.bulkRunTags$.next([]),C.tags){const pe=[];Object.keys(C.tags).forEach(me=>{var xe;pe.push({[me]:((xe=C==null?void 0:C.tags)==null?void 0:xe[me])??""})}),this.bulkRunTags$.next(pe)}this.initNodeParameterTypes((W=C.flow)==null?void 0:W.flowGraph),C.flowType===FlowType.Chat&&(this.initChatFlow(C),this.initChatMessages(((X=C.flowRunSettings)==null?void 0:X.batch_inputs)??[{}])),this.language$.next((oe=(J=C.flow)==null?void 0:J.flowGraph)==null?void 0:oe.language)}initNodeParameterTypes(C){if(!C)return;const R=this.nodeVariants$.getSnapshot().toJSON();let O=Map$1(new Map);Object.keys(R).forEach(I=>{const N=R[I];Object.keys(N.variants??{}).forEach(L=>{var j;const B=(N.variants??{})[L];if(B.node){const F={inputs:{},activate:{is:void 0}},V=this.getToolOfNode(B.node);if((B.node.type??(V==null?void 0:V.type))===ToolType.python){const K=Object.keys((V==null?void 0:V.inputs)??{});Object.keys(B.node.inputs??{}).filter(J=>!K.includes(J)).forEach(J=>{var oe,pe;F.inputs[J]=inferTypeByVal((pe=(oe=B.node)==null?void 0:oe.inputs)==null?void 0:pe[J])??ValueType.string})}F.activate.is=inferTypeByVal((j=B.node.activate)==null?void 0:j.is)??ValueType.string,O=O.set(`${I}#${L}`,F)}})}),this.nodeParameterTypes$.next(O)}initChatFlow(C){if(C.flowType!==FlowType.Chat)return;this.inputSpec$.getSnapshot().some(N=>isChatHistory(C.flowType,N))||(this.addFlowInput(DEFAULT_CHAT_HISTORY_NAME,{name:DEFAULT_CHAT_HISTORY_NAME,type:ValueType.list}),this.batchInputs$.updateState(N=>[{...N[0],[DEFAULT_CHAT_HISTORY_NAME]:[]},...N.slice(1)])),this.inputSpec$.getSnapshot().some(N=>isChatInput(N))||this.addFlowInput(DEFAULT_CHAT_INPUT_NAME,{name:DEFAULT_CHAT_INPUT_NAME,type:ValueType.string,is_chat_input:!0}),this.flowOutputs$.getSnapshot().some(N=>isChatOutput(N))||this.addFlowOutput(DEFAULT_CHAT_OUTPUT_NAME,{name:DEFAULT_CHAT_OUTPUT_NAME,type:ValueType.string,is_chat_output:!0})}initChatMessages(C){var B,j,F;const R=((B=this.getChatHistoryDefinition())==null?void 0:B.name)??DEFAULT_CHAT_HISTORY_NAME,O=C[0][R];if(!Array.isArray(O))return;const I=((j=this.getChatInputDefinition())==null?void 0:j.name)??DEFAULT_CHAT_INPUT_NAME,N=((F=this.getChatOutputDefinition())==null?void 0:F.name)??DEFAULT_CHAT_OUTPUT_NAME,L=parseChatMessages(I,N,O);this.chatMessages$.next(L),this.syncChatMessagesToInputsValues(L)}syncChatMessagesToInputsValues(C){var O,I,N;if(this.batchInputs$.getSnapshot().length<=1){const L=((O=this.getChatInputDefinition())==null?void 0:O.name)??DEFAULT_CHAT_INPUT_NAME,B=((I=this.getChatOutputDefinition())==null?void 0:I.name)??DEFAULT_CHAT_OUTPUT_NAME,j=((N=this.getChatHistoryDefinition())==null?void 0:N.name)??DEFAULT_CHAT_HISTORY_NAME,F=[];for(let V=0;V<C.length;++V){for(;V<C.length&&C[V].from!==ChatMessageFrom.User;++V);if(V+1<C.length){const K=C[V],W=C[V+1];if(W.from===ChatMessageFrom.Chatbot&&!W.error){V+=1;const X=W.extraData;F.push({inputs:{...X.flowInputs,[L]:K.content},outputs:{...X.flowOutputs,[B]:W.content}})}}}this.batchInputs$.updateState(V=>[{...V[0],[j]:F}])}}getNode(C,R){var O,I,N;return(N=(I=(O=this.nodeVariants$.get(C))==null?void 0:O.variants)==null?void 0:I[R])==null?void 0:N.node}setNode(C,R,O){var N;const I=this.nodeVariants$.get(C);this.nodeVariants$.set(C,{defaultVariantId:(I==null?void 0:I.defaultVariantId)??BASELINE_VARIANT_ID,variants:{...I==null?void 0:I.variants,[R]:{...(N=I==null?void 0:I.variants)==null?void 0:N[R],node:O}}})}getAllLlmParameterKeys(){var C;if(this._allLlmParameterKeys.length===0){const R=this.promptToolSetting$.getSnapshot();if(!R)return[];const O=(C=R.providers)==null?void 0:C.flatMap(N=>{var L;return(L=N.apis)==null?void 0:L.map(B=>B.parameters)}),I=new Set(O==null?void 0:O.flatMap(N=>Object.keys(N??{})));this._allLlmParameterKeys=[...I.values()]}return this._allLlmParameterKeys}pruneNodeInputs(C){var K,W,X,J;const R=C?this.getToolOfNode(C):void 0,O=this.promptToolSetting$.getSnapshot(),I=this.connectionList$.getSnapshot(),N=this.connectionSpecList$.getSnapshot();if(!R||!O)return C;if((C.type??R.type)===ToolType.python&&R.enable_kwargs){const oe={};return Object.keys(C.inputs??{}).forEach(pe=>{var me,xe,Ae,ge;if(((me=C.inputs)==null?void 0:me[pe])!==void 0){const Te=(xe=R.inputs)==null?void 0:xe[pe];oe[pe]=convertValByType((Ae=C.inputs)==null?void 0:Ae[pe],(ge=Te==null?void 0:Te.type)==null?void 0:ge[0])}}),{...C,inputs:oe}}const L=this.getProviderByConnection(C.connection??"");if((C.type??R.type)===ToolType.llm&&(!L||!C.api))return C;const B=(C.type??R.type)===ToolType.llm,j=B?(J=(X=(W=(K=O==null?void 0:O.providers)==null?void 0:K.find(oe=>oe.provider===L))==null?void 0:W.apis)==null?void 0:X.find(oe=>oe.api===C.api))==null?void 0:J.parameters:void 0,F=new Set(filterNodeInputsKeys(R.inputs,C.inputs,I,N).concat(B?this.getAllLlmParameterKeys():[])),V={};return Object.keys(C.inputs??{}).forEach(oe=>{var pe,me,xe,Ae;if(F.has(oe)&&((pe=C.inputs)==null?void 0:pe[oe])!==void 0){const ge=((me=R.inputs)==null?void 0:me[oe])??(j==null?void 0:j[oe]);V[oe]=convertValByType((xe=C.inputs)==null?void 0:xe[oe],(Ae=ge==null?void 0:ge.type)==null?void 0:Ae[0])}}),{...C,inputs:V}}getToolOfNode(C){var I,N;const R=this.codeToolsDictionary$.get(((I=C.source)==null?void 0:I.path)??""),O=this.packageToolsDictionary$.get(((N=C.source)==null?void 0:N.tool)??"");return resolveTool(C,R,O,L=>this.codeToolsDictionary$.get(L))}validateNodeInputs(C){const R=new Map,O=this.getNodesInCycle(C),I=this.connectionList$.getSnapshot(),N=this.connectionSpecList$.getSnapshot(),L=[];return this.inputSpec$.getSnapshot().forEach((j,F)=>{const V=j.default,K=j.type;if(V!==void 0&&V!==""&&!isTypeValid(V,K)){const W={section:"inputs",parameterName:F,type:ValidationErrorType.InputInvalidType,message:"Input type is not valid"};L.push(W)}}),L.length>0&&R.set(`${FLOW_INPUT_NODE_NAME}#`,L),Array.from(C.values()).forEach(j=>{const{variants:F={}}=j;Object.keys(F).forEach(V=>{var me,xe,Ae;const K=F[V],{node:W}=K,X=W?this.getToolOfNode(W):void 0,J=filterNodeInputsKeys(X==null?void 0:X.inputs,W==null?void 0:W.inputs,I,N);if(!W||!W.name)return;if(!X){const ge=W;R.set(`${W.name}#${V}`,[{type:ValidationErrorType.MissingTool,message:`Can't find tool ${((me=ge==null?void 0:ge.source)==null?void 0:me.tool)??((xe=ge==null?void 0:ge.source)==null?void 0:xe.path)}`}]);return}const oe=[],pe=this.validateNodeConfig(W,X);if(pe&&oe.push(pe),J.forEach(ge=>{const Te=this.validateNodeInputRequired(X,W,ge);Te&&oe.push(Te)}),W.inputs&&oe.push(...Object.keys(W.inputs).map(ge=>{if(!J.includes(ge)&&!X.enable_kwargs)return;const{isReference:Te,error:we}=this.validateNodeInputReference(W,"inputs",ge,C,O);if(we)return we;if(!Te)return this.validateNodeInputType(X,W,V,ge)}).filter(Boolean)),W.activate){const{error:ge}=this.validateNodeInputReference(W,"activate","when",C,O);ge&&oe.push(ge);const Te=W.activate.is,we=(Ae=this.nodeParameterTypes$.get(`${W.name}#${V}`))==null?void 0:Ae.activate.is;if(!isTypeValid(Te,we)){const ke={section:"activate",parameterName:"is",type:ValidationErrorType.InputInvalidType,message:"Input type is not valid"};oe.push(ke)}}R.set(`${W.name}#${V}`,oe)})}),R}getNodesInCycle(C){const R=getDefaultNodeList(List$1.of(...C.keys()),C),O=new Map;R.forEach(F=>{var K;const V=(W,X,J)=>{const oe=getRefValueFromRaw(J),[pe]=(oe==null?void 0:oe.split("."))??[];!pe||isFlowInput(pe)||O.set(`${F.name}.${W}.${X}`,pe)};Object.keys((F==null?void 0:F.inputs)??{}).forEach(W=>{var J;const X=(J=F.inputs)==null?void 0:J[W];V("inputs",W,X)}),V("activate","when",(K=F.activate)==null?void 0:K.when)});const I=new Map,N=new Map,L=new Map,B=new Map;return R.forEach(F=>{const V=F.name;V&&(I.set(V,0),N.set(V,0),L.set(V,[]),B.set(V,[]))}),R.forEach(F=>{const V=F.name;if(!V)return;const K=(W,X)=>{const J=O.get(`${V}.${W}.${X}`);J&&(I.set(V,(I.get(V)??0)+1),N.set(J,(N.get(J)??0)+1),L.set(J,[...L.get(J)??[],V]),B.set(V,[...B.get(V)??[],J]))};Object.keys((F==null?void 0:F.inputs)??{}).forEach(W=>{K("inputs",W)}),K("activate","when")}),getCycle(I,L,N,B)}validateNodeConfig(C,R){var I,N,L,B,j,F,V;const O=this.promptToolSetting$.getSnapshot();if((C.type??(R==null?void 0:R.type))===ToolType.llm){if(!C.connection)return{parameterName:"connection",type:ValidationErrorType.NodeConfigInvalid,message:"connection is required"};if(!this.connectionList$.getSnapshot().some(oe=>oe.connectionName===C.connection))return{parameterName:"connection",type:ValidationErrorType.NodeConfigInvalid,message:"connection is not valid"};if(!C.api)return{parameterName:"api",type:ValidationErrorType.NodeConfigInvalid,message:"api is required"};const K=this.getProviderByConnection(C.connection),W=(B=(L=(N=(I=O==null?void 0:O.providers)==null?void 0:I.find(oe=>oe.provider===K))==null?void 0:N.apis)==null?void 0:L.find(oe=>oe.api===C.api))==null?void 0:B.parameters;if((W==null?void 0:W.model)&&!((j=C.inputs)!=null&&j.model))return{parameterName:"model",type:ValidationErrorType.NodeConfigInvalid,message:"model is required"};if((W==null?void 0:W.deployment_name)&&!((F=C.inputs)!=null&&F.deployment_name))return{parameterName:"deployment_name",type:ValidationErrorType.NodeConfigInvalid,message:"deployment_name is required"}}if(R&&((V=R==null?void 0:R.connection_type)!=null&&V.length)&&!C.connection)return{parameterName:"connection",type:ValidationErrorType.NodeConfigInvalid,message:"connection is required"}}validateNodeInputRequired(C,R,O){var N,L,B;if(((L=(N=C.inputs)==null?void 0:N[O])==null?void 0:L.default)!==void 0)return;const I=(B=R.inputs)==null?void 0:B[O];if(I===void 0||I==="")return{section:"inputs",parameterName:O,type:ValidationErrorType.InputEmpty,message:"Input cannot be empty"}}validateNodeInputReference(C,R,O,I,N){var K;const L=(K=C==null?void 0:C[R])==null?void 0:K[O],B=getRefValueFromRaw(L),[j,F]=(B==null?void 0:B.split("."))??[];return j?isFlowInput(j)?this.inputSpec$.get(F)?{isReference:!0,error:void 0}:{isReference:!0,error:{section:R,parameterName:O,type:ValidationErrorType.InputDependencyNotFound,message:`${B} is not a valid flow input`}}:j===C.name?{isReference:!0,error:{section:R,parameterName:O,type:ValidationErrorType.InputSelfReference,message:"Input cannot reference itself"}}:I.get(j)?C.name&&N.has(C.name)&&N.has(j)?{isReference:!0,error:{section:R,parameterName:O,type:ValidationErrorType.CircularDependency,message:"Input cannot reference a node in a cycle"}}:{isReference:!0,error:void 0}:{isReference:!0,error:{section:R,parameterName:O,type:ValidationErrorType.InputDependencyNotFound,message:`${j} is not a valid node name`}}:{isReference:!1,error:void 0}}validateNodeInputType(C,R,O,I){var j,F,V,K,W;const N=(j=R.inputs)==null?void 0:j[I];if(!N)return;const L=(F=C==null?void 0:C.inputs)==null?void 0:F[I],B=((V=L==null?void 0:L.type)==null?void 0:V[0])??((W=(K=this.nodeParameterTypes$.get(`${R.name}#${O}`))==null?void 0:K.inputs)==null?void 0:W[I]);if(!(!N||!C||!B)&&!isTypeValid(N,B))return{section:"inputs",parameterName:I,type:ValidationErrorType.InputInvalidType,message:"Input type is not valid"}}};_a$5=SINGLETON,$f[_a$5]=!0;let BaseFlowViewModel=$f;class DefaultFlowViewModel extends BaseFlowViewModel{constructor(){super(...arguments),this.viewType="default"}fetchConnectionList(){}fetchPromptToolSetting(){}openRunListView(){}deployFlow(){}setSelectedStepId(){}notifyFlowChange(){}notifyLayoutChange(){}notifyUIHintChange(){}}createInjectionToken("FlowViewModel",new DefaultFlowViewModel);function useInjected(...S){const C=reactExports.useContext(ServicesContext);return reactExports.useMemo(()=>S.map(R=>{try{return C.resolve(R)}catch(O){throw[R,O]}}),[C].concat(S))}var shim$1={exports:{}},useSyncExternalStoreShim_development={},hasRequiredUseSyncExternalStoreShim_development;function requireUseSyncExternalStoreShim_development(){if(hasRequiredUseSyncExternalStoreShim_development)return useSyncExternalStoreShim_development;hasRequiredUseSyncExternalStoreShim_development=1;var S={};/**
- * @license React
- * use-sync-external-store-shim.development.js
- *
- * Copyright (c) Facebook, Inc. and its affiliates.
- *
- * This source code is licensed under the MIT license found in the
- * LICENSE file in the root directory of this source tree.
- */return S.NODE_ENV!=="production"&&function(){typeof __REACT_DEVTOOLS_GLOBAL_HOOK__<"u"&&typeof __REACT_DEVTOOLS_GLOBAL_HOOK__.registerInternalModuleStart=="function"&&__REACT_DEVTOOLS_GLOBAL_HOOK__.registerInternalModuleStart(new Error);var C=requireReact(),R=C.__SECRET_INTERNALS_DO_NOT_USE_OR_YOU_WILL_BE_FIRED;function O(ge){{for(var Te=arguments.length,we=new Array(Te>1?Te-1:0),ke=1;ke<Te;ke++)we[ke-1]=arguments[ke];I("error",ge,we)}}function I(ge,Te,we){{var ke=R.ReactDebugCurrentFrame,Be=ke.getStackAddendum();Be!==""&&(Te+="%s",we=we.concat([Be]));var Ie=we.map(function(je){return String(je)});Ie.unshift("Warning: "+Te),Function.prototype.apply.call(console[ge],console,Ie)}}function N(ge,Te){return ge===Te&&(ge!==0||1/ge===1/Te)||ge!==ge&&Te!==Te}var L=typeof Object.is=="function"?Object.is:N,B=C.useState,j=C.useEffect,F=C.useLayoutEffect,V=C.useDebugValue,K=!1,W=!1;function X(ge,Te,we){K||C.startTransition!==void 0&&(K=!0,O("You are using an outdated, pre-release alpha of React 18 that does not support useSyncExternalStore. The use-sync-external-store shim will not work correctly. Upgrade to a newer pre-release."));var ke=Te();if(!W){var Be=Te();L(ke,Be)||(O("The result of getSnapshot should be cached to avoid an infinite loop"),W=!0)}var Ie=B({inst:{value:ke,getSnapshot:Te}}),je=Ie[0].inst,Ke=Ie[1];return F(function(){je.value=ke,je.getSnapshot=Te,J(je)&&Ke({inst:je})},[ge,ke,Te]),j(function(){J(je)&&Ke({inst:je});var Je=function(){J(je)&&Ke({inst:je})};return ge(Je)},[ge]),V(ke),ke}function J(ge){var Te=ge.getSnapshot,we=ge.value;try{var ke=Te();return!L(we,ke)}catch{return!0}}function oe(ge,Te,we){return Te()}var pe=typeof window<"u"&&typeof window.document<"u"&&typeof window.document.createElement<"u",me=!pe,xe=me?oe:X,Ae=C.useSyncExternalStore!==void 0?C.useSyncExternalStore:xe;useSyncExternalStoreShim_development.useSyncExternalStore=Ae,typeof __REACT_DEVTOOLS_GLOBAL_HOOK__<"u"&&typeof __REACT_DEVTOOLS_GLOBAL_HOOK__.registerInternalModuleStop=="function"&&__REACT_DEVTOOLS_GLOBAL_HOOK__.registerInternalModuleStop(new Error)}(),useSyncExternalStoreShim_development}var useSyncExternalStoreShim_production_min={};/**
- * @license React
- * use-sync-external-store-shim.production.min.js
- *
- * Copyright (c) Facebook, Inc. and its affiliates.
- *
- * This source code is licensed under the MIT license found in the
- * LICENSE file in the root directory of this source tree.
- */var hasRequiredUseSyncExternalStoreShim_production_min;function requireUseSyncExternalStoreShim_production_min(){if(hasRequiredUseSyncExternalStoreShim_production_min)return useSyncExternalStoreShim_production_min;hasRequiredUseSyncExternalStoreShim_production_min=1;var S=requireReact();function C(K,W){return K===W&&(K!==0||1/K===1/W)||K!==K&&W!==W}var R=typeof Object.is=="function"?Object.is:C,O=S.useState,I=S.useEffect,N=S.useLayoutEffect,L=S.useDebugValue;function B(K,W){var X=W(),J=O({inst:{value:X,getSnapshot:W}}),oe=J[0].inst,pe=J[1];return N(function(){oe.value=X,oe.getSnapshot=W,j(oe)&&pe({inst:oe})},[K,X,W]),I(function(){return j(oe)&&pe({inst:oe}),K(function(){j(oe)&&pe({inst:oe})})},[K]),L(X),X}function j(K){var W=K.getSnapshot;K=K.value;try{var X=W();return!R(K,X)}catch{return!0}}function F(K,W){return W()}var V=typeof window>"u"||typeof window.document>"u"||typeof window.document.createElement>"u"?F:B;return useSyncExternalStoreShim_production_min.useSyncExternalStore=S.useSyncExternalStore!==void 0?S.useSyncExternalStore:V,useSyncExternalStoreShim_production_min}var define_process_env_default$p={};define_process_env_default$p.NODE_ENV==="production"?shim$1.exports=requireUseSyncExternalStoreShim_production_min():shim$1.exports=requireUseSyncExternalStoreShim_development();var shimExports=shim$1.exports;const useSubscribe=S=>reactExports.useCallback(C=>{const R=S.subscribe(C);return()=>{R.unsubscribe()}},[S]);function useState(S){const C=useSubscribe(S),{getSnapshot:R}=S;return shimExports.useSyncExternalStore(C,R)}function useSetState(S){return reactExports.useCallback(C=>{typeof C!="function"?S.setState(C):S.setState(C(S.getSnapshot()))},[S])}of(void 0);var _a$4;const Hp=class Hp{constructor(C,R){this.isChatBoxBottomTipVisible$=new State$1(C.isChatBoxBottomTipVisible),this.simpleMode$=new State$1(C.simpleMode),this.freezeLayout$=new State$1(C.freezeLayout),this.viewMyOnlyFlow$=new State$1(C.viewMyOnlyFlow),this.viewOnlyMyRuns$=new State$1(C.viewOnlyMyRuns),this.viewArchived$=new State$1(C.viewArchived),this.wrapTextOn$=new State$1(C.wrapTextOn),this.diffModeOn$=new State$1(C.diffModeOn),this.isRightTopPaneCollapsed$=new State$1(C.isRightTopPaneCollapsed),this.isRightBottomPaneCollapsed$=new State$1(C.isRightBottomPaneCollapsed),this.leftPaneWidth$=new State$1(C.leftPaneWidth),this.rightTopPaneHeight$=new State$1(C.rightTopPaneHeight);const 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- * LICENSE file in the root directory of this source tree.
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S=[],C=0;C<arguments.length;C++)S[C]=arguments[C];return mergeCss(S,getStyleOptions())}function mergeCss(S,C){var R=S instanceof Array?S:[S],O=extractStyleParts(R),I=O.classes,N=O.objects;return N.length&&I.push(styleToClassName(C||{},N)),I.join(" ")}function styleInject(S,C){C===void 0&&(C={});var R=C.insertAt;if(!(!S||typeof document>"u")){var O=document.head||document.getElementsByTagName("head")[0],I=document.createElement("style");I.type="text/css",R==="top"&&O.firstChild?O.insertBefore(I,O.firstChild):O.appendChild(I),I.styleSheet?I.styleSheet.cssText=S:I.appendChild(document.createTextNode(S))}}var css_248z=".root_ce9fd48c{margin:0;padding:0}.item_34141342{list-style:none}.content_6abc12be{display:flex;align-items:center}.content_6abc12be:hover{cursor:pointer;background-color:#f3f2f1}.icon_aaa0d589{border-top:6px solid transparent;border-bottom:6px solid transparent;border-left:6px solid #8a8886;margin:0 11px 0 3px}.expanded_6233c4e1{border-left:6px solid 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S},__assign$1.apply(this,arguments)},rowSizeBase={width:"100%",height:"10px",top:"0px",left:"0px",cursor:"row-resize"},colSizeBase={width:"10px",height:"100%",top:"0px",left:"0px",cursor:"col-resize"},edgeBase={width:"20px",height:"20px",position:"absolute"},styles={top:__assign$1(__assign$1({},rowSizeBase),{top:"-5px"}),right:__assign$1(__assign$1({},colSizeBase),{left:void 0,right:"-5px"}),bottom:__assign$1(__assign$1({},rowSizeBase),{top:void 0,bottom:"-5px"}),left:__assign$1(__assign$1({},colSizeBase),{left:"-5px"}),topRight:__assign$1(__assign$1({},edgeBase),{right:"-10px",top:"-10px",cursor:"ne-resize"}),bottomRight:__assign$1(__assign$1({},edgeBase),{right:"-10px",bottom:"-10px",cursor:"se-resize"}),bottomLeft:__assign$1(__assign$1({},edgeBase),{left:"-10px",bottom:"-10px",cursor:"sw-resize"}),topLeft:__assign$1(__assign$1({},edgeBase),{left:"-10px",top:"-10px",cursor:"nw-resize"})},Resizer=function(S){__extends$1(C,S);function C(){var R=S!==null&&S.apply(this,arguments)||this;return R.onMouseDown=function(O){R.props.onResizeStart(O,R.props.direction)},R.onTouchStart=function(O){R.props.onResizeStart(O,R.props.direction)},R}return C.prototype.render=function(){return reactExports.createElement("div",{className:this.props.className||"",style:__assign$1(__assign$1({position:"absolute",userSelect:"none"},styles[this.props.direction]),this.props.replaceStyles||{}),onMouseDown:this.onMouseDown,onTouchStart:this.onTouchStart},this.props.children)},C}(reactExports.PureComponent),__extends=function(){var S=function(C,R){return S=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(O,I){O.__proto__=I}||function(O,I){for(var N in I)Object.prototype.hasOwnProperty.call(I,N)&&(O[N]=I[N])},S(C,R)};return function(C,R){S(C,R);function O(){this.constructor=C}C.prototype=R===null?Object.create(R):(O.prototype=R.prototype,new O)}}(),__assign=function(){return __assign=Object.assign||function(S){for(var C,R=1,O=arguments.length;R<O;R++){C=arguments[R];for(var I in C)Object.prototype.hasOwnProperty.call(C,I)&&(S[I]=C[I])}return S},__assign.apply(this,arguments)},DEFAULT_SIZE={width:"auto",height:"auto"},clamp=function(S,C,R){return Math.max(Math.min(S,R),C)},snap=function(S,C){return Math.round(S/C)*C},hasDirection=function(S,C){return new RegExp(S,"i").test(C)},isTouchEvent=function(S){return!!(S.touches&&S.touches.length)},isMouseEvent=function(S){return!!((S.clientX||S.clientX===0)&&(S.clientY||S.clientY===0))},findClosestSnap=function(S,C,R){R===void 0&&(R=0);var O=C.reduce(function(N,L,B){return Math.abs(L-S)<Math.abs(C[N]-S)?B:N},0),I=Math.abs(C[O]-S);return R===0||I<R?C[O]:S},getStringSize$1=function(S){return S=S.toString(),S==="auto"||S.endsWith("px")||S.endsWith("%")||S.endsWith("vh")||S.endsWith("vw")||S.endsWith("vmax")||S.endsWith("vmin")?S:S+"px"},getPixelSize=function(S,C,R,O){if(S&&typeof S=="string"){if(S.endsWith("px"))return Number(S.replace("px",""));if(S.endsWith("%")){var I=Number(S.replace("%",""))/100;return C*I}if(S.endsWith("vw")){var I=Number(S.replace("vw",""))/100;return R*I}if(S.endsWith("vh")){var I=Number(S.replace("vh",""))/100;return O*I}}return S},calculateNewMax=function(S,C,R,O,I,N,L){return O=getPixelSize(O,S.width,C,R),I=getPixelSize(I,S.height,C,R),N=getPixelSize(N,S.width,C,R),L=getPixelSize(L,S.height,C,R),{maxWidth:typeof O>"u"?void 0:Number(O),maxHeight:typeof I>"u"?void 0:Number(I),minWidth:typeof N>"u"?void 0:Number(N),minHeight:typeof L>"u"?void 0:Number(L)}},definedProps=["as","style","className","grid","snap","bounds","boundsByDirection","size","defaultSize","minWidth","minHeight","maxWidth","maxHeight","lockAspectRatio","lockAspectRatioExtraWidth","lockAspectRatioExtraHeight","enable","handleStyles","handleClasses","handleWrapperStyle","handleWrapperClass","children","onResizeStart","onResize","onResizeStop","handleComponent","scale","resizeRatio","snapGap"],baseClassName="__resizable_base__",Resizable=function(S){__extends(C,S);function C(R){var O=S.call(this,R)||this;return O.ratio=1,O.resizable=null,O.parentLeft=0,O.parentTop=0,O.resizableLeft=0,O.resizableRight=0,O.resizableTop=0,O.resizableBottom=0,O.targetLeft=0,O.targetTop=0,O.appendBase=function(){if(!O.resizable||!O.window)return null;var I=O.parentNode;if(!I)return null;var N=O.window.document.createElement("div");return N.style.width="100%",N.style.height="100%",N.style.position="absolute",N.style.transform="scale(0, 0)",N.style.left="0",N.style.flex="0 0 100%",N.classList?N.classList.add(baseClassName):N.className+=baseClassName,I.appendChild(N),N},O.removeBase=function(I){var N=O.parentNode;N&&N.removeChild(I)},O.ref=function(I){I&&(O.resizable=I)},O.state={isResizing:!1,width:typeof(O.propsSize&&O.propsSize.width)>"u"?"auto":O.propsSize&&O.propsSize.width,height:typeof(O.propsSize&&O.propsSize.height)>"u"?"auto":O.propsSize&&O.propsSize.height,direction:"right",original:{x:0,y:0,width:0,height:0},backgroundStyle:{height:"100%",width:"100%",backgroundColor:"rgba(0,0,0,0)",cursor:"auto",opacity:0,position:"fixed",zIndex:9999,top:"0",left:"0",bottom:"0",right:"0"},flexBasis:void 0},O.onResizeStart=O.onResizeStart.bind(O),O.onMouseMove=O.onMouseMove.bind(O),O.onMouseUp=O.onMouseUp.bind(O),O}return Object.defineProperty(C.prototype,"parentNode",{get:function(){return this.resizable?this.resizable.parentNode:null},enumerable:!1,configurable:!0}),Object.defineProperty(C.prototype,"window",{get:function(){return!this.resizable||!this.resizable.ownerDocument?null:this.resizable.ownerDocument.defaultView},enumerable:!1,configurable:!0}),Object.defineProperty(C.prototype,"propsSize",{get:function(){return this.props.size||this.props.defaultSize||DEFAULT_SIZE},enumerable:!1,configurable:!0}),Object.defineProperty(C.prototype,"size",{get:function(){var R=0,O=0;if(this.resizable&&this.window){var I=this.resizable.offsetWidth,N=this.resizable.offsetHeight,L=this.resizable.style.position;L!=="relative"&&(this.resizable.style.position="relative"),R=this.resizable.style.width!=="auto"?this.resizable.offsetWidth:I,O=this.resizable.style.height!=="auto"?this.resizable.offsetHeight:N,this.resizable.style.position=L}return{width:R,height:O}},enumerable:!1,configurable:!0}),Object.defineProperty(C.prototype,"sizeStyle",{get:function(){var R=this,O=this.props.size,I=function(B){if(typeof R.state[B]>"u"||R.state[B]==="auto")return"auto";if(R.propsSize&&R.propsSize[B]&&R.propsSize[B].toString().endsWith("%")){if(R.state[B].toString().endsWith("%"))return R.state[B].toString();var j=R.getParentSize(),F=Number(R.state[B].toString().replace("px","")),V=F/j[B]*100;return V+"%"}return getStringSize$1(R.state[B])},N=O&&typeof O.width<"u"&&!this.state.isResizing?getStringSize$1(O.width):I("width"),L=O&&typeof O.height<"u"&&!this.state.isResizing?getStringSize$1(O.height):I("height");return{width:N,height:L}},enumerable:!1,configurable:!0}),C.prototype.getParentSize=function(){if(!this.parentNode)return this.window?{width:this.window.innerWidth,height:this.window.innerHeight}:{width:0,height:0};var R=this.appendBase();if(!R)return{width:0,height:0};var O=!1,I=this.parentNode.style.flexWrap;I!=="wrap"&&(O=!0,this.parentNode.style.flexWrap="wrap"),R.style.position="relative",R.style.minWidth="100%",R.style.minHeight="100%";var N={width:R.offsetWidth,height:R.offsetHeight};return O&&(this.parentNode.style.flexWrap=I),this.removeBase(R),N},C.prototype.bindEvents=function(){this.window&&(this.window.addEventListener("mouseup",this.onMouseUp),this.window.addEventListener("mousemove",this.onMouseMove),this.window.addEventListener("mouseleave",this.onMouseUp),this.window.addEventListener("touchmove",this.onMouseMove,{capture:!0,passive:!1}),this.window.addEventListener("touchend",this.onMouseUp))},C.prototype.unbindEvents=function(){this.window&&(this.window.removeEventListener("mouseup",this.onMouseUp),this.window.removeEventListener("mousemove",this.onMouseMove),this.window.removeEventListener("mouseleave",this.onMouseUp),this.window.removeEventListener("touchmove",this.onMouseMove,!0),this.window.removeEventListener("touchend",this.onMouseUp))},C.prototype.componentDidMount=function(){if(!(!this.resizable||!this.window)){var R=this.window.getComputedStyle(this.resizable);this.setState({width:this.state.width||this.size.width,height:this.state.height||this.size.height,flexBasis:R.flexBasis!=="auto"?R.flexBasis:void 0})}},C.prototype.componentWillUnmount=function(){this.window&&this.unbindEvents()},C.prototype.createSizeForCssProperty=function(R,O){var I=this.propsSize&&this.propsSize[O];return this.state[O]==="auto"&&this.state.original[O]===R&&(typeof I>"u"||I==="auto")?"auto":R},C.prototype.calculateNewMaxFromBoundary=function(R,O){var I=this.props.boundsByDirection,N=this.state.direction,L=I&&hasDirection("left",N),B=I&&hasDirection("top",N),j,F;if(this.props.bounds==="parent"){var V=this.parentNode;V&&(j=L?this.resizableRight-this.parentLeft:V.offsetWidth+(this.parentLeft-this.resizableLeft),F=B?this.resizableBottom-this.parentTop:V.offsetHeight+(this.parentTop-this.resizableTop))}else this.props.bounds==="window"?this.window&&(j=L?this.resizableRight:this.window.innerWidth-this.resizableLeft,F=B?this.resizableBottom:this.window.innerHeight-this.resizableTop):this.props.bounds&&(j=L?this.resizableRight-this.targetLeft:this.props.bounds.offsetWidth+(this.targetLeft-this.resizableLeft),F=B?this.resizableBottom-this.targetTop:this.props.bounds.offsetHeight+(this.targetTop-this.resizableTop));return j&&Number.isFinite(j)&&(R=R&&R<j?R:j),F&&Number.isFinite(F)&&(O=O&&O<F?O:F),{maxWidth:R,maxHeight:O}},C.prototype.calculateNewSizeFromDirection=function(R,O){var I=this.props.scale||1,N=this.props.resizeRatio||1,L=this.state,B=L.direction,j=L.original,F=this.props,V=F.lockAspectRatio,K=F.lockAspectRatioExtraHeight,W=F.lockAspectRatioExtraWidth,X=j.width,J=j.height,oe=K||0,pe=W||0;return hasDirection("right",B)&&(X=j.width+(R-j.x)*N/I,V&&(J=(X-pe)/this.ratio+oe)),hasDirection("left",B)&&(X=j.width-(R-j.x)*N/I,V&&(J=(X-pe)/this.ratio+oe)),hasDirection("bottom",B)&&(J=j.height+(O-j.y)*N/I,V&&(X=(J-oe)*this.ratio+pe)),hasDirection("top",B)&&(J=j.height-(O-j.y)*N/I,V&&(X=(J-oe)*this.ratio+pe)),{newWidth:X,newHeight:J}},C.prototype.calculateNewSizeFromAspectRatio=function(R,O,I,N){var L=this.props,B=L.lockAspectRatio,j=L.lockAspectRatioExtraHeight,F=L.lockAspectRatioExtraWidth,V=typeof N.width>"u"?10:N.width,K=typeof I.width>"u"||I.width<0?R:I.width,W=typeof N.height>"u"?10:N.height,X=typeof I.height>"u"||I.height<0?O:I.height,J=j||0,oe=F||0;if(B){var pe=(W-J)*this.ratio+oe,me=(X-J)*this.ratio+oe,xe=(V-oe)/this.ratio+J,Ae=(K-oe)/this.ratio+J,ge=Math.max(V,pe),Te=Math.min(K,me),we=Math.max(W,xe),ke=Math.min(X,Ae);R=clamp(R,ge,Te),O=clamp(O,we,ke)}else R=clamp(R,V,K),O=clamp(O,W,X);return{newWidth:R,newHeight:O}},C.prototype.setBoundingClientRect=function(){if(this.props.bounds==="parent"){var R=this.parentNode;if(R){var O=R.getBoundingClientRect();this.parentLeft=O.left,this.parentTop=O.top}}if(this.props.bounds&&typeof this.props.bounds!="string"){var I=this.props.bounds.getBoundingClientRect();this.targetLeft=I.left,this.targetTop=I.top}if(this.resizable){var N=this.resizable.getBoundingClientRect(),L=N.left,B=N.top,j=N.right,F=N.bottom;this.resizableLeft=L,this.resizableRight=j,this.resizableTop=B,this.resizableBottom=F}},C.prototype.onResizeStart=function(R,O){if(!(!this.resizable||!this.window)){var I=0,N=0;if(R.nativeEvent&&isMouseEvent(R.nativeEvent)?(I=R.nativeEvent.clientX,N=R.nativeEvent.clientY):R.nativeEvent&&isTouchEvent(R.nativeEvent)&&(I=R.nativeEvent.touches[0].clientX,N=R.nativeEvent.touches[0].clientY),this.props.onResizeStart&&this.resizable){var L=this.props.onResizeStart(R,O,this.resizable);if(L===!1)return}this.props.size&&(typeof this.props.size.height<"u"&&this.props.size.height!==this.state.height&&this.setState({height:this.props.size.height}),typeof this.props.size.width<"u"&&this.props.size.width!==this.state.width&&this.setState({width:this.props.size.width})),this.ratio=typeof this.props.lockAspectRatio=="number"?this.props.lockAspectRatio:this.size.width/this.size.height;var B,j=this.window.getComputedStyle(this.resizable);if(j.flexBasis!=="auto"){var F=this.parentNode;if(F){var V=this.window.getComputedStyle(F).flexDirection;this.flexDir=V.startsWith("row")?"row":"column",B=j.flexBasis}}this.setBoundingClientRect(),this.bindEvents();var K={original:{x:I,y:N,width:this.size.width,height:this.size.height},isResizing:!0,backgroundStyle:__assign(__assign({},this.state.backgroundStyle),{cursor:this.window.getComputedStyle(R.target).cursor||"auto"}),direction:O,flexBasis:B};this.setState(K)}},C.prototype.onMouseMove=function(R){var O=this;if(!(!this.state.isResizing||!this.resizable||!this.window)){if(this.window.TouchEvent&&isTouchEvent(R))try{R.preventDefault(),R.stopPropagation()}catch{}var I=this.props,N=I.maxWidth,L=I.maxHeight,B=I.minWidth,j=I.minHeight,F=isTouchEvent(R)?R.touches[0].clientX:R.clientX,V=isTouchEvent(R)?R.touches[0].clientY:R.clientY,K=this.state,W=K.direction,X=K.original,J=K.width,oe=K.height,pe=this.getParentSize(),me=calculateNewMax(pe,this.window.innerWidth,this.window.innerHeight,N,L,B,j);N=me.maxWidth,L=me.maxHeight,B=me.minWidth,j=me.minHeight;var xe=this.calculateNewSizeFromDirection(F,V),Ae=xe.newHeight,ge=xe.newWidth,Te=this.calculateNewMaxFromBoundary(N,L);this.props.snap&&this.props.snap.x&&(ge=findClosestSnap(ge,this.props.snap.x,this.props.snapGap)),this.props.snap&&this.props.snap.y&&(Ae=findClosestSnap(Ae,this.props.snap.y,this.props.snapGap));var we=this.calculateNewSizeFromAspectRatio(ge,Ae,{width:Te.maxWidth,height:Te.maxHeight},{width:B,height:j});if(ge=we.newWidth,Ae=we.newHeight,this.props.grid){var ke=snap(ge,this.props.grid[0]),Be=snap(Ae,this.props.grid[1]),Ie=this.props.snapGap||0;ge=Ie===0||Math.abs(ke-ge)<=Ie?ke:ge,Ae=Ie===0||Math.abs(Be-Ae)<=Ie?Be:Ae}var je={width:ge-X.width,height:Ae-X.height};if(J&&typeof J=="string"){if(J.endsWith("%")){var Ke=ge/pe.width*100;ge=Ke+"%"}else if(J.endsWith("vw")){var Je=ge/this.window.innerWidth*100;ge=Je+"vw"}else if(J.endsWith("vh")){var Xe=ge/this.window.innerHeight*100;ge=Xe+"vh"}}if(oe&&typeof oe=="string"){if(oe.endsWith("%")){var Ke=Ae/pe.height*100;Ae=Ke+"%"}else if(oe.endsWith("vw")){var Je=Ae/this.window.innerWidth*100;Ae=Je+"vw"}else if(oe.endsWith("vh")){var Xe=Ae/this.window.innerHeight*100;Ae=Xe+"vh"}}var ot={width:this.createSizeForCssProperty(ge,"width"),height:this.createSizeForCssProperty(Ae,"height")};this.flexDir==="row"?ot.flexBasis=ot.width:this.flexDir==="column"&&(ot.flexBasis=ot.height),reactDomExports.flushSync(function(){O.setState(ot)}),this.props.onResize&&this.props.onResize(R,W,this.resizable,je)}},C.prototype.onMouseUp=function(R){var O=this.state,I=O.isResizing,N=O.direction,L=O.original;if(!(!I||!this.resizable)){var B={width:this.size.width-L.width,height:this.size.height-L.height};this.props.onResizeStop&&this.props.onResizeStop(R,N,this.resizable,B),this.props.size&&this.setState(this.props.size),this.unbindEvents(),this.setState({isResizing:!1,backgroundStyle:__assign(__assign({},this.state.backgroundStyle),{cursor:"auto"})})}},C.prototype.updateSize=function(R){this.setState({width:R.width,height:R.height})},C.prototype.renderResizer=function(){var R=this,O=this.props,I=O.enable,N=O.handleStyles,L=O.handleClasses,B=O.handleWrapperStyle,j=O.handleWrapperClass,F=O.handleComponent;if(!I)return null;var V=Object.keys(I).map(function(K){return I[K]!==!1?reactExports.createElement(Resizer,{key:K,direction:K,onResizeStart:R.onResizeStart,replaceStyles:N&&N[K],className:L&&L[K]},F&&F[K]?F[K]:null):null});return reactExports.createElement("div",{className:j,style:B},V)},C.prototype.render=function(){var R=this,O=Object.keys(this.props).reduce(function(L,B){return definedProps.indexOf(B)!==-1||(L[B]=R.props[B]),L},{}),I=__assign(__assign(__assign({position:"relative",userSelect:this.state.isResizing?"none":"auto"},this.props.style),this.sizeStyle),{maxWidth:this.props.maxWidth,maxHeight:this.props.maxHeight,minWidth:this.props.minWidth,minHeight:this.props.minHeight,boxSizing:"border-box",flexShrink:0});this.state.flexBasis&&(I.flexBasis=this.state.flexBasis);var N=this.props.as||"div";return reactExports.createElement(N,__assign({ref:this.ref,style:I,className:this.props.className},O),this.state.isResizing&&reactExports.createElement("div",{style:this.state.backgroundStyle}),this.props.children,this.renderResizer())},C.defaultProps={as:"div",onResizeStart:function(){},onResize:function(){},onResizeStop:function(){},enable:{top:!0,right:!0,bottom:!0,left:!0,topRight:!0,bottomRight:!0,bottomLeft:!0,topLeft:!0},style:{},grid:[1,1],lockAspectRatio:!1,lockAspectRatioExtraWidth:0,lockAspectRatioExtraHeight:0,scale:1,resizeRatio:1,snapGap:0},C}(reactExports.PureComponent),_a$1;const tasksToTaskRows=(S,C)=>S.map(R=>({...R,level:C,children:R.children?tasksToTaskRows(R.children,C+1):void 0})),u0=class u0{constructor(){this.rows$=new State$1(List$1([])),this.selectedRowId$=new State$1(void 0),this.startTime=Number.MAX_SAFE_INTEGER,this.endTime=0}toggleRow(C){const R=this.rows$.getSnapshot(),O=R.findIndex(B=>B.id===C),I=R.get(O);if(!I)return;const{children:N}=I;if(!N)return;const L=[...R];L[O]={...I,isExpanded:!I.isExpanded},I.isExpanded?L.splice(O+1,N.length):L.splice(O+1,0,...N),this.rows$.next(List$1(L))}setRows(C){this.rows$.next(List$1(C))}setTasks(C){this.startTime=Number.MAX_SAFE_INTEGER,this.endTime=0,this.rows$.next(List$1(tasksToTaskRows(C,0)));const R=O=>{O.forEach(I=>{I.startTime<this.startTime&&(this.startTime=I.startTime),I.endTime>this.endTime&&(this.endTime=I.endTime),I.children&&R(I.children)})};R(C)}};_a$1=SINGLETON,u0[_a$1]=!0;let GanttViewModel=u0;const GanttViewModelToken=createInjectionToken("GanttViewModel",new GanttViewModel);function r(S){var C,R,O="";if(typeof S=="string"||typeof S=="number")O+=S;else if(typeof S=="object")if(Array.isArray(S))for(C=0;C<S.length;C++)S[C]&&(R=r(S[C]))&&(O&&(O+=" "),O+=R);else for(C in S)S[C]&&(O&&(O+=" "),O+=C);return O}function clsx(){for(var S,C,R=0,O="";R<arguments.length;)(S=arguments[R++])&&(C=r(S))&&(O&&(O+=" "),O+=C);return O}function getColSpan(S,C,R){const O=typeof S.colSpan=="function"?S.colSpan(R):1;if(Number.isInteger(O)&&O>1&&(!S.frozen||S.idx+O-1<=C))return O}function stopPropagation(S){S.stopPropagation()}function scrollIntoView(S){S==null||S.scrollIntoView({inline:"nearest",block:"nearest"})}function createCellEvent(S){let C=!1;const R={...S,preventGridDefault(){C=!0},isGridDefaultPrevented(){return C}};return Object.setPrototypeOf(R,Object.getPrototypeOf(S)),R}const nonInputKeys=new Set(["Unidentified","Alt","AltGraph","CapsLock","Control","Fn","FnLock","Meta","NumLock","ScrollLock","Shift","Tab","ArrowDown","ArrowLeft","ArrowRight","ArrowUp","End","Home","PageDown","PageUp","Insert","ContextMenu","Escape","Pause","Play","PrintScreen","F1","F3","F4","F5","F6","F7","F8","F9","F10","F11","F12"]);function isCtrlKeyHeldDown(S){return(S.ctrlKey||S.metaKey)&&S.key!=="Control"}function isDefaultCellInput(S){return!nonInputKeys.has(S.key)}function onEditorNavigation({key:S,target:C}){var R;return S==="Tab"&&(C instanceof HTMLInputElement||C 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Row({className:S,rowIdx:C,gridRowStart:R,height:O,selectedCellIdx:I,isRowSelected:N,copiedCellIdx:L,draggedOverCellIdx:B,lastFrozenColumnIndex:j,row:F,viewportColumns:V,selectedCellEditor:K,onCellClick:W,onCellDoubleClick:X,onCellContextMenu:J,rowClass:oe,setDraggedOverRowIdx:pe,onMouseEnter:me,onRowChange:xe,selectCell:Ae,...ge},Te){const we=useLatestFunc((Ie,je)=>{xe(Ie,C,je)});function ke(Ie){pe==null||pe(C),me==null||me(Ie)}S=clsx(rowClassname,`rdg-row-${C%2===0?"even":"odd"}`,oe==null?void 0:oe(F,C),S,I===-1&&rowSelectedClassname);const Be=[];for(let Ie=0;Ie<V.length;Ie++){const je=V[Ie],{idx:Ke}=je,Je=getColSpan(je,j,{type:"ROW",row:F});Je!==void 0&&(Ie+=Je-1);const Xe=I===Ke;Xe&&K?Be.push(K):Be.push(jsxRuntimeExports.jsx(Cell$1$1,{column:je,colSpan:Je,row:F,rowIdx:C,isCopied:L===Ke,isDraggedOver:B===Ke,isCellSelected:Xe,onClick:W,onDoubleClick:X,onContextMenu:J,onRowChange:we,selectCell:Ae},je.key))}return jsxRuntimeExports.jsx(RowSelectionProvider,{value:N,children:jsxRuntimeExports.jsx("div",{role:"row",ref:Te,className:S,onMouseEnter:ke,style:getRowStyle(R,O),...ge,children:Be})})}const RowComponent=reactExports.memo(reactExports.forwardRef(Row));function defaultRenderRow(S,C){return jsxRuntimeExports.jsx(RowComponent,{...C},S)}function ScrollToCell({scrollToPosition:{idx:S,rowIdx:C},gridElement:R,setScrollToCellPosition:O}){const I=reactExports.useRef(null);return useLayoutEffect(()=>{scrollIntoView(I.current)}),useLayoutEffect(()=>{function N(){O(null)}const L=new IntersectionObserver(N,{root:R,threshold:1});return L.observe(I.current),()=>{L.disconnect()}},[R,O]),jsxRuntimeExports.jsx("div",{ref:I,style:{gridColumn:S===void 0?"1/-1":S+1,gridRow:C===void 0?"1/-1":C+2}})}const arrow="a1mygwml7-0-0-beta-39",arrowClassname=`rdg-sort-arrow ${arrow}`;function renderSortStatus({sortDirection:S,priority:C}){return 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Promise(updateQueue.enqueue)},setAttribute(S,C,R){R==null?S.removeAttribute(C):S.setAttribute(C,R)},setBooleanAttribute(S,C,R){R?S.setAttribute(C,""):S.removeAttribute(C)},removeChildNodes(S){for(let C=S.firstChild;C!==null;C=S.firstChild)S.removeChild(C)},createTemplateWalker(S){return document.createTreeWalker(S,133,null,!1)}});class SubscriberSet{constructor(C,R){this.sub1=void 0,this.sub2=void 0,this.spillover=void 0,this.source=C,this.sub1=R}has(C){return this.spillover===void 0?this.sub1===C||this.sub2===C:this.spillover.indexOf(C)!==-1}subscribe(C){const R=this.spillover;if(R===void 0){if(this.has(C))return;if(this.sub1===void 0){this.sub1=C;return}if(this.sub2===void 0){this.sub2=C;return}this.spillover=[this.sub1,this.sub2,C],this.sub1=void 0,this.sub2=void 0}else R.indexOf(C)===-1&&R.push(C)}unsubscribe(C){const R=this.spillover;if(R===void 0)this.sub1===C?this.sub1=void 0:this.sub2===C&&(this.sub2=void 0);else{const O=R.indexOf(C);O!==-1&&R.splice(O,1)}}notify(C){const R=this.spillover,O=this.source;if(R===void 0){const I=this.sub1,N=this.sub2;I!==void 0&&I.handleChange(O,C),N!==void 0&&N.handleChange(O,C)}else for(let I=0,N=R.length;I<N;++I)R[I].handleChange(O,C)}}class PropertyChangeNotifier{constructor(C){this.subscribers={},this.sourceSubscribers=null,this.source=C}notify(C){var R;const O=this.subscribers[C];O!==void 0&&O.notify(C),(R=this.sourceSubscribers)===null||R===void 0||R.notify(C)}subscribe(C,R){var O;if(R){let I=this.subscribers[R];I===void 0&&(this.subscribers[R]=I=new SubscriberSet(this.source)),I.subscribe(C)}else this.sourceSubscribers=(O=this.sourceSubscribers)!==null&&O!==void 0?O:new SubscriberSet(this.source),this.sourceSubscribers.subscribe(C)}unsubscribe(C,R){var O;if(R){const I=this.subscribers[R];I!==void 0&&I.unsubscribe(C)}else(O=this.sourceSubscribers)===null||O===void 0||O.unsubscribe(C)}}const Observable$1=FAST.getById(2,()=>{const S=/(:|&&|\|\||if)/,C=new WeakMap,R=DOM.queueUpdate;let O,I=F=>{throw new Error("Must call enableArrayObservation before observing arrays.")};function N(F){let V=F.$fastController||C.get(F);return V===void 0&&(Array.isArray(F)?V=I(F):C.set(F,V=new PropertyChangeNotifier(F))),V}const L=createMetadataLocator();class B{constructor(V){this.name=V,this.field=`_${V}`,this.callback=`${V}Changed`}getValue(V){return O!==void 0&&O.watch(V,this.name),V[this.field]}setValue(V,K){const W=this.field,X=V[W];if(X!==K){V[W]=K;const J=V[this.callback];typeof J=="function"&&J.call(V,X,K),N(V).notify(this.name)}}}class j extends SubscriberSet{constructor(V,K,W=!1){super(V,K),this.binding=V,this.isVolatileBinding=W,this.needsRefresh=!0,this.needsQueue=!0,this.first=this,this.last=null,this.propertySource=void 0,this.propertyName=void 0,this.notifier=void 0,this.next=void 0}observe(V,K){this.needsRefresh&&this.last!==null&&this.disconnect();const W=O;O=this.needsRefresh?this:void 0,this.needsRefresh=this.isVolatileBinding;const X=this.binding(V,K);return O=W,X}disconnect(){if(this.last!==null){let V=this.first;for(;V!==void 0;)V.notifier.unsubscribe(this,V.propertyName),V=V.next;this.last=null,this.needsRefresh=this.needsQueue=!0}}watch(V,K){const W=this.last,X=N(V),J=W===null?this.first:{};if(J.propertySource=V,J.propertyName=K,J.notifier=X,X.subscribe(this,K),W!==null){if(!this.needsRefresh){let oe;O=void 0,oe=W.propertySource[W.propertyName],O=this,V===oe&&(this.needsRefresh=!0)}W.next=J}this.last=J}handleChange(){this.needsQueue&&(this.needsQueue=!1,R(this))}call(){this.last!==null&&(this.needsQueue=!0,this.notify(this))}records(){let V=this.first;return{next:()=>{const K=V;return K===void 0?{value:void 0,done:!0}:(V=V.next,{value:K,done:!1})},[Symbol.iterator]:function(){return this}}}}return Object.freeze({setArrayObserverFactory(F){I=F},getNotifier:N,track(F,V){O!==void 0&&O.watch(F,V)},trackVolatile(){O!==void 0&&(O.needsRefresh=!0)},notify(F,V){N(F).notify(V)},defineProperty(F,V){typeof V=="string"&&(V=new B(V)),L(F).push(V),Reflect.defineProperty(F,V.name,{enumerable:!0,get:function(){return V.getValue(this)},set:function(K){V.setValue(this,K)}})},getAccessors:L,binding(F,V,K=this.isVolatileBinding(F)){return new j(F,V,K)},isVolatileBinding(F){return S.test(F.toString())}})});function observable(S,C){Observable$1.defineProperty(S,C)}function volatile(S,C,R){return Object.assign({},R,{get:function(){return Observable$1.trackVolatile(),R.get.apply(this)}})}const contextEvent=FAST.getById(3,()=>{let S=null;return{get(){return S},set(C){S=C}}});class ExecutionContext{constructor(){this.index=0,this.length=0,this.parent=null,this.parentContext=null}get event(){return contextEvent.get()}get isEven(){return this.index%2===0}get isOdd(){return this.index%2!==0}get isFirst(){return this.index===0}get isInMiddle(){return!this.isFirst&&!this.isLast}get isLast(){return this.index===this.length-1}static setEvent(C){contextEvent.set(C)}}Observable$1.defineProperty(ExecutionContext.prototype,"index"),Observable$1.defineProperty(ExecutionContext.prototype,"length");const defaultExecutionContext=Object.seal(new ExecutionContext);class HTMLDirective{constructor(){this.targetIndex=0}}class TargetedHTMLDirective extends HTMLDirective{constructor(){super(...arguments),this.createPlaceholder=DOM.createInterpolationPlaceholder}}class AttachedBehaviorHTMLDirective extends HTMLDirective{constructor(C,R,O){super(),this.name=C,this.behavior=R,this.options=O}createPlaceholder(C){return DOM.createCustomAttributePlaceholder(this.name,C)}createBehavior(C){return new this.behavior(C,this.options)}}function normalBind(S,C){this.source=S,this.context=C,this.bindingObserver===null&&(this.bindingObserver=Observable$1.binding(this.binding,this,this.isBindingVolatile)),this.updateTarget(this.bindingObserver.observe(S,C))}function triggerBind(S,C){this.source=S,this.context=C,this.target.addEventListener(this.targetName,this)}function normalUnbind(){this.bindingObserver.disconnect(),this.source=null,this.context=null}function contentUnbind(){this.bindingObserver.disconnect(),this.source=null,this.context=null;const S=this.target.$fastView;S!==void 0&&S.isComposed&&(S.unbind(),S.needsBindOnly=!0)}function triggerUnbind(){this.target.removeEventListener(this.targetName,this),this.source=null,this.context=null}function updateAttributeTarget(S){DOM.setAttribute(this.target,this.targetName,S)}function updateBooleanAttributeTarget(S){DOM.setBooleanAttribute(this.target,this.targetName,S)}function updateContentTarget(S){if(S==null&&(S=""),S.create){this.target.textContent="";let C=this.target.$fastView;C===void 0?C=S.create():this.target.$fastTemplate!==S&&(C.isComposed&&(C.remove(),C.unbind()),C=S.create()),C.isComposed?C.needsBindOnly&&(C.needsBindOnly=!1,C.bind(this.source,this.context)):(C.isComposed=!0,C.bind(this.source,this.context),C.insertBefore(this.target),this.target.$fastView=C,this.target.$fastTemplate=S)}else{const C=this.target.$fastView;C!==void 0&&C.isComposed&&(C.isComposed=!1,C.remove(),C.needsBindOnly?C.needsBindOnly=!1:C.unbind()),this.target.textContent=S}}function updatePropertyTarget(S){this.target[this.targetName]=S}function updateClassTarget(S){const C=this.classVersions||Object.create(null),R=this.target;let O=this.version||0;if(S!=null&&S.length){const I=S.split(/\s+/);for(let N=0,L=I.length;N<L;++N){const B=I[N];B!==""&&(C[B]=O,R.classList.add(B))}}if(this.classVersions=C,this.version=O+1,O!==0){O-=1;for(const I in C)C[I]===O&&R.classList.remove(I)}}class HTMLBindingDirective extends TargetedHTMLDirective{constructor(C){super(),this.binding=C,this.bind=normalBind,this.unbind=normalUnbind,this.updateTarget=updateAttributeTarget,this.isBindingVolatile=Observable$1.isVolatileBinding(this.binding)}get targetName(){return this.originalTargetName}set targetName(C){if(this.originalTargetName=C,C!==void 0)switch(C[0]){case":":if(this.cleanedTargetName=C.substr(1),this.updateTarget=updatePropertyTarget,this.cleanedTargetName==="innerHTML"){const R=this.binding;this.binding=(O,I)=>DOM.createHTML(R(O,I))}break;case"?":this.cleanedTargetName=C.substr(1),this.updateTarget=updateBooleanAttributeTarget;break;case"@":this.cleanedTargetName=C.substr(1),this.bind=triggerBind,this.unbind=triggerUnbind;break;default:this.cleanedTargetName=C,C==="class"&&(this.updateTarget=updateClassTarget);break}}targetAtContent(){this.updateTarget=updateContentTarget,this.unbind=contentUnbind}createBehavior(C){return new BindingBehavior(C,this.binding,this.isBindingVolatile,this.bind,this.unbind,this.updateTarget,this.cleanedTargetName)}}class BindingBehavior{constructor(C,R,O,I,N,L,B){this.source=null,this.context=null,this.bindingObserver=null,this.target=C,this.binding=R,this.isBindingVolatile=O,this.bind=I,this.unbind=N,this.updateTarget=L,this.targetName=B}handleChange(){this.updateTarget(this.bindingObserver.observe(this.source,this.context))}handleEvent(C){ExecutionContext.setEvent(C);const R=this.binding(this.source,this.context);ExecutionContext.setEvent(null),R!==!0&&C.preventDefault()}}let sharedContext=null;class CompilationContext{addFactory(C){C.targetIndex=this.targetIndex,this.behaviorFactories.push(C)}captureContentBinding(C){C.targetAtContent(),this.addFactory(C)}reset(){this.behaviorFactories=[],this.targetIndex=-1}release(){sharedContext=this}static borrow(C){const R=sharedContext||new CompilationContext;return R.directives=C,R.reset(),sharedContext=null,R}}function createAggregateBinding(S){if(S.length===1)return S[0];let C;const R=S.length,O=S.map(L=>typeof L=="string"?()=>L:(C=L.targetName||C,L.binding)),I=(L,B)=>{let j="";for(let F=0;F<R;++F)j+=O[F](L,B);return j},N=new HTMLBindingDirective(I);return N.targetName=C,N}const interpolationEndLength=_interpolationEnd.length;function parseContent(S,C){const R=C.split(_interpolationStart);if(R.length===1)return null;const O=[];for(let I=0,N=R.length;I<N;++I){const L=R[I],B=L.indexOf(_interpolationEnd);let j;if(B===-1)j=L;else{const F=parseInt(L.substring(0,B));O.push(S.directives[F]),j=L.substring(B+interpolationEndLength)}j!==""&&O.push(j)}return O}function compileAttributes(S,C,R=!1){const O=C.attributes;for(let I=0,N=O.length;I<N;++I){const L=O[I],B=L.value,j=parseContent(S,B);let F=null;j===null?R&&(F=new HTMLBindingDirective(()=>B),F.targetName=L.name):F=createAggregateBinding(j),F!==null&&(C.removeAttributeNode(L),I--,N--,S.addFactory(F))}}function compileContent(S,C,R){const O=parseContent(S,C.textContent);if(O!==null){let I=C;for(let N=0,L=O.length;N<L;++N){const B=O[N],j=N===0?C:I.parentNode.insertBefore(document.createTextNode(""),I.nextSibling);typeof B=="string"?j.textContent=B:(j.textContent=" ",S.captureContentBinding(B)),I=j,S.targetIndex++,j!==C&&R.nextNode()}S.targetIndex--}}function compileTemplate(S,C){const R=S.content;document.adoptNode(R);const O=CompilationContext.borrow(C);compileAttributes(O,S,!0);const I=O.behaviorFactories;O.reset();const N=DOM.createTemplateWalker(R);let L;for(;L=N.nextNode();)switch(O.targetIndex++,L.nodeType){case 1:compileAttributes(O,L);break;case 3:compileContent(O,L,N);break;case 8:DOM.isMarker(L)&&O.addFactory(C[DOM.extractDirectiveIndexFromMarker(L)])}let B=0;(DOM.isMarker(R.firstChild)||R.childNodes.length===1&&C.length)&&(R.insertBefore(document.createComment(""),R.firstChild),B=-1);const j=O.behaviorFactories;return O.release(),{fragment:R,viewBehaviorFactories:j,hostBehaviorFactories:I,targetOffset:B}}const range$2=document.createRange();class HTMLView{constructor(C,R){this.fragment=C,this.behaviors=R,this.source=null,this.context=null,this.firstChild=C.firstChild,this.lastChild=C.lastChild}appendTo(C){C.appendChild(this.fragment)}insertBefore(C){if(this.fragment.hasChildNodes())C.parentNode.insertBefore(this.fragment,C);else{const R=this.lastChild;if(C.previousSibling===R)return;const O=C.parentNode;let I=this.firstChild,N;for(;I!==R;)N=I.nextSibling,O.insertBefore(I,C),I=N;O.insertBefore(R,C)}}remove(){const C=this.fragment,R=this.lastChild;let O=this.firstChild,I;for(;O!==R;)I=O.nextSibling,C.appendChild(O),O=I;C.appendChild(R)}dispose(){const C=this.firstChild.parentNode,R=this.lastChild;let O=this.firstChild,I;for(;O!==R;)I=O.nextSibling,C.removeChild(O),O=I;C.removeChild(R);const N=this.behaviors,L=this.source;for(let B=0,j=N.length;B<j;++B)N[B].unbind(L)}bind(C,R){const O=this.behaviors;if(this.source!==C)if(this.source!==null){const I=this.source;this.source=C,this.context=R;for(let N=0,L=O.length;N<L;++N){const B=O[N];B.unbind(I),B.bind(C,R)}}else{this.source=C,this.context=R;for(let I=0,N=O.length;I<N;++I)O[I].bind(C,R)}}unbind(){if(this.source===null)return;const C=this.behaviors,R=this.source;for(let O=0,I=C.length;O<I;++O)C[O].unbind(R);this.source=null}static disposeContiguousBatch(C){if(C.length!==0){range$2.setStartBefore(C[0].firstChild),range$2.setEndAfter(C[C.length-1].lastChild),range$2.deleteContents();for(let R=0,O=C.length;R<O;++R){const I=C[R],N=I.behaviors,L=I.source;for(let B=0,j=N.length;B<j;++B)N[B].unbind(L)}}}}class ViewTemplate{constructor(C,R){this.behaviorCount=0,this.hasHostBehaviors=!1,this.fragment=null,this.targetOffset=0,this.viewBehaviorFactories=null,this.hostBehaviorFactories=null,this.html=C,this.directives=R}create(C){if(this.fragment===null){let F;const V=this.html;if(typeof V=="string"){F=document.createElement("template"),F.innerHTML=DOM.createHTML(V);const W=F.content.firstElementChild;W!==null&&W.tagName==="TEMPLATE"&&(F=W)}else F=V;const K=compileTemplate(F,this.directives);this.fragment=K.fragment,this.viewBehaviorFactories=K.viewBehaviorFactories,this.hostBehaviorFactories=K.hostBehaviorFactories,this.targetOffset=K.targetOffset,this.behaviorCount=this.viewBehaviorFactories.length+this.hostBehaviorFactories.length,this.hasHostBehaviors=this.hostBehaviorFactories.length>0}const R=this.fragment.cloneNode(!0),O=this.viewBehaviorFactories,I=new Array(this.behaviorCount),N=DOM.createTemplateWalker(R);let L=0,B=this.targetOffset,j=N.nextNode();for(let F=O.length;L<F;++L){const V=O[L],K=V.targetIndex;for(;j!==null;)if(B===K){I[L]=V.createBehavior(j);break}else j=N.nextNode(),B++}if(this.hasHostBehaviors){const F=this.hostBehaviorFactories;for(let V=0,K=F.length;V<K;++V,++L)I[L]=F[V].createBehavior(C)}return new HTMLView(R,I)}render(C,R,O){typeof R=="string"&&(R=document.getElementById(R)),O===void 0&&(O=R);const I=this.create(O);return I.bind(C,defaultExecutionContext),I.appendTo(R),I}}const lastAttributeNameRegex=/([ \x09\x0a\x0c\x0d])([^\0-\x1F\x7F-\x9F "'>=/]+)([ \x09\x0a\x0c\x0d]*=[ \x09\x0a\x0c\x0d]*(?:[^ \x09\x0a\x0c\x0d"'`<>=]*|"[^"]*|'[^']*))$/;function html$4(S,...C){const R=[];let O="";for(let I=0,N=S.length-1;I<N;++I){const L=S[I];let B=C[I];if(O+=L,B instanceof ViewTemplate){const j=B;B=()=>j}if(typeof B=="function"&&(B=new HTMLBindingDirective(B)),B instanceof TargetedHTMLDirective){const j=lastAttributeNameRegex.exec(L);j!==null&&(B.targetName=j[2])}B instanceof HTMLDirective?(O+=B.createPlaceholder(R.length),R.push(B)):O+=B}return O+=S[S.length-1],new ViewTemplate(O,R)}class ElementStyles{constructor(){this.targets=new WeakSet}addStylesTo(C){this.targets.add(C)}removeStylesFrom(C){this.targets.delete(C)}isAttachedTo(C){return this.targets.has(C)}withBehaviors(...C){return this.behaviors=this.behaviors===null?C:this.behaviors.concat(C),this}}ElementStyles.create=(()=>{if(DOM.supportsAdoptedStyleSheets){const S=new Map;return C=>new AdoptedStyleSheetsStyles(C,S)}return S=>new StyleElementStyles(S)})();function reduceStyles(S){return S.map(C=>C instanceof ElementStyles?reduceStyles(C.styles):[C]).reduce((C,R)=>C.concat(R),[])}function reduceBehaviors(S){return S.map(C=>C instanceof ElementStyles?C.behaviors:null).reduce((C,R)=>R===null?C:(C===null&&(C=[]),C.concat(R)),null)}let addAdoptedStyleSheets=(S,C)=>{S.adoptedStyleSheets=[...S.adoptedStyleSheets,...C]},removeAdoptedStyleSheets=(S,C)=>{S.adoptedStyleSheets=S.adoptedStyleSheets.filter(R=>C.indexOf(R)===-1)};if(DOM.supportsAdoptedStyleSheets)try{document.adoptedStyleSheets.push(),document.adoptedStyleSheets.splice(),addAdoptedStyleSheets=(S,C)=>{S.adoptedStyleSheets.push(...C)},removeAdoptedStyleSheets=(S,C)=>{for(const R of C){const O=S.adoptedStyleSheets.indexOf(R);O!==-1&&S.adoptedStyleSheets.splice(O,1)}}}catch{}class AdoptedStyleSheetsStyles extends ElementStyles{constructor(C,R){super(),this.styles=C,this.styleSheetCache=R,this._styleSheets=void 0,this.behaviors=reduceBehaviors(C)}get styleSheets(){if(this._styleSheets===void 0){const C=this.styles,R=this.styleSheetCache;this._styleSheets=reduceStyles(C).map(O=>{if(O instanceof CSSStyleSheet)return O;let I=R.get(O);return I===void 0&&(I=new CSSStyleSheet,I.replaceSync(O),R.set(O,I)),I})}return this._styleSheets}addStylesTo(C){addAdoptedStyleSheets(C,this.styleSheets),super.addStylesTo(C)}removeStylesFrom(C){removeAdoptedStyleSheets(C,this.styleSheets),super.removeStylesFrom(C)}}let styleClassId=0;function getNextStyleClass(){return`fast-style-class-${++styleClassId}`}class StyleElementStyles extends ElementStyles{constructor(C){super(),this.styles=C,this.behaviors=null,this.behaviors=reduceBehaviors(C),this.styleSheets=reduceStyles(C),this.styleClass=getNextStyleClass()}addStylesTo(C){const R=this.styleSheets,O=this.styleClass;C=this.normalizeTarget(C);for(let I=0;I<R.length;I++){const N=document.createElement("style");N.innerHTML=R[I],N.className=O,C.append(N)}super.addStylesTo(C)}removeStylesFrom(C){C=this.normalizeTarget(C);const R=C.querySelectorAll(`.${this.styleClass}`);for(let O=0,I=R.length;O<I;++O)C.removeChild(R[O]);super.removeStylesFrom(C)}isAttachedTo(C){return super.isAttachedTo(this.normalizeTarget(C))}normalizeTarget(C){return C===document?document.body:C}}const AttributeConfiguration=Object.freeze({locate:createMetadataLocator()}),booleanConverter={toView(S){return S?"true":"false"},fromView(S){return!(S==null||S==="false"||S===!1||S===0)}},nullableNumberConverter={toView(S){if(S==null)return null;const C=S*1;return isNaN(C)?null:C.toString()},fromView(S){if(S==null)return null;const C=S*1;return isNaN(C)?null:C}};class AttributeDefinition{constructor(C,R,O=R.toLowerCase(),I="reflect",N){this.guards=new Set,this.Owner=C,this.name=R,this.attribute=O,this.mode=I,this.converter=N,this.fieldName=`_${R}`,this.callbackName=`${R}Changed`,this.hasCallback=this.callbackName in C.prototype,I==="boolean"&&N===void 0&&(this.converter=booleanConverter)}setValue(C,R){const O=C[this.fieldName],I=this.converter;I!==void 0&&(R=I.fromView(R)),O!==R&&(C[this.fieldName]=R,this.tryReflectToAttribute(C),this.hasCallback&&C[this.callbackName](O,R),C.$fastController.notify(this.name))}getValue(C){return Observable$1.track(C,this.name),C[this.fieldName]}onAttributeChangedCallback(C,R){this.guards.has(C)||(this.guards.add(C),this.setValue(C,R),this.guards.delete(C))}tryReflectToAttribute(C){const R=this.mode,O=this.guards;O.has(C)||R==="fromView"||DOM.queueUpdate(()=>{O.add(C);const I=C[this.fieldName];switch(R){case"reflect":const N=this.converter;DOM.setAttribute(C,this.attribute,N!==void 0?N.toView(I):I);break;case"boolean":DOM.setBooleanAttribute(C,this.attribute,I);break}O.delete(C)})}static collect(C,...R){const O=[];R.push(AttributeConfiguration.locate(C));for(let I=0,N=R.length;I<N;++I){const L=R[I];if(L!==void 0)for(let B=0,j=L.length;B<j;++B){const F=L[B];typeof F=="string"?O.push(new AttributeDefinition(C,F)):O.push(new AttributeDefinition(C,F.property,F.attribute,F.mode,F.converter))}}return O}}function attr(S,C){let R;function O(I,N){arguments.length>1&&(R.property=N),AttributeConfiguration.locate(I.constructor).push(R)}if(arguments.length>1){R={},O(S,C);return}return R=S===void 0?{}:S,O}const defaultShadowOptions={mode:"open"},defaultElementOptions={},fastRegistry=FAST.getById(4,()=>{const S=new Map;return Object.freeze({register(C){return S.has(C.type)?!1:(S.set(C.type,C),!0)},getByType(C){return S.get(C)}})});class FASTElementDefinition{constructor(C,R=C.definition){typeof R=="string"&&(R={name:R}),this.type=C,this.name=R.name,this.template=R.template;const O=AttributeDefinition.collect(C,R.attributes),I=new Array(O.length),N={},L={};for(let B=0,j=O.length;B<j;++B){const F=O[B];I[B]=F.attribute,N[F.name]=F,L[F.attribute]=F}this.attributes=O,this.observedAttributes=I,this.propertyLookup=N,this.attributeLookup=L,this.shadowOptions=R.shadowOptions===void 0?defaultShadowOptions:R.shadowOptions===null?void 0:Object.assign(Object.assign({},defaultShadowOptions),R.shadowOptions),this.elementOptions=R.elementOptions===void 0?defaultElementOptions:Object.assign(Object.assign({},defaultElementOptions),R.elementOptions),this.styles=R.styles===void 0?void 0:Array.isArray(R.styles)?ElementStyles.create(R.styles):R.styles instanceof ElementStyles?R.styles:ElementStyles.create([R.styles])}get isDefined(){return!!fastRegistry.getByType(this.type)}define(C=customElements){const R=this.type;if(fastRegistry.register(this)){const O=this.attributes,I=R.prototype;for(let N=0,L=O.length;N<L;++N)Observable$1.defineProperty(I,O[N]);Reflect.defineProperty(R,"observedAttributes",{value:this.observedAttributes,enumerable:!0})}return C.get(this.name)||C.define(this.name,R,this.elementOptions),this}}FASTElementDefinition.forType=fastRegistry.getByType;const shadowRoots=new WeakMap,defaultEventOptions={bubbles:!0,composed:!0,cancelable:!0};function getShadowRoot(S){return S.shadowRoot||shadowRoots.get(S)||null}class Controller extends PropertyChangeNotifier{constructor(C,R){super(C),this.boundObservables=null,this.behaviors=null,this.needsInitialization=!0,this._template=null,this._styles=null,this._isConnected=!1,this.$fastController=this,this.view=null,this.element=C,this.definition=R;const O=R.shadowOptions;if(O!==void 0){const N=C.attachShadow(O);O.mode==="closed"&&shadowRoots.set(C,N)}const I=Observable$1.getAccessors(C);if(I.length>0){const N=this.boundObservables=Object.create(null);for(let L=0,B=I.length;L<B;++L){const j=I[L].name,F=C[j];F!==void 0&&(delete C[j],N[j]=F)}}}get isConnected(){return Observable$1.track(this,"isConnected"),this._isConnected}setIsConnected(C){this._isConnected=C,Observable$1.notify(this,"isConnected")}get template(){return this._template}set template(C){this._template!==C&&(this._template=C,this.needsInitialization||this.renderTemplate(C))}get styles(){return this._styles}set styles(C){this._styles!==C&&(this._styles!==null&&this.removeStyles(this._styles),this._styles=C,!this.needsInitialization&&C!==null&&this.addStyles(C))}addStyles(C){const R=getShadowRoot(this.element)||this.element.getRootNode();if(C instanceof HTMLStyleElement)R.append(C);else if(!C.isAttachedTo(R)){const O=C.behaviors;C.addStylesTo(R),O!==null&&this.addBehaviors(O)}}removeStyles(C){const R=getShadowRoot(this.element)||this.element.getRootNode();if(C instanceof HTMLStyleElement)R.removeChild(C);else if(C.isAttachedTo(R)){const O=C.behaviors;C.removeStylesFrom(R),O!==null&&this.removeBehaviors(O)}}addBehaviors(C){const R=this.behaviors||(this.behaviors=new Map),O=C.length,I=[];for(let N=0;N<O;++N){const L=C[N];R.has(L)?R.set(L,R.get(L)+1):(R.set(L,1),I.push(L))}if(this._isConnected){const N=this.element;for(let L=0;L<I.length;++L)I[L].bind(N,defaultExecutionContext)}}removeBehaviors(C,R=!1){const O=this.behaviors;if(O===null)return;const I=C.length,N=[];for(let L=0;L<I;++L){const B=C[L];if(O.has(B)){const j=O.get(B)-1;j===0||R?O.delete(B)&&N.push(B):O.set(B,j)}}if(this._isConnected){const L=this.element;for(let B=0;B<N.length;++B)N[B].unbind(L)}}onConnectedCallback(){if(this._isConnected)return;const C=this.element;this.needsInitialization?this.finishInitialization():this.view!==null&&this.view.bind(C,defaultExecutionContext);const R=this.behaviors;if(R!==null)for(const[O]of R)O.bind(C,defaultExecutionContext);this.setIsConnected(!0)}onDisconnectedCallback(){if(!this._isConnected)return;this.setIsConnected(!1);const C=this.view;C!==null&&C.unbind();const R=this.behaviors;if(R!==null){const O=this.element;for(const[I]of R)I.unbind(O)}}onAttributeChangedCallback(C,R,O){const I=this.definition.attributeLookup[C];I!==void 0&&I.onAttributeChangedCallback(this.element,O)}emit(C,R,O){return this._isConnected?this.element.dispatchEvent(new CustomEvent(C,Object.assign(Object.assign({detail:R},defaultEventOptions),O))):!1}finishInitialization(){const C=this.element,R=this.boundObservables;if(R!==null){const I=Object.keys(R);for(let N=0,L=I.length;N<L;++N){const B=I[N];C[B]=R[B]}this.boundObservables=null}const O=this.definition;this._template===null&&(this.element.resolveTemplate?this._template=this.element.resolveTemplate():O.template&&(this._template=O.template||null)),this._template!==null&&this.renderTemplate(this._template),this._styles===null&&(this.element.resolveStyles?this._styles=this.element.resolveStyles():O.styles&&(this._styles=O.styles||null)),this._styles!==null&&this.addStyles(this._styles),this.needsInitialization=!1}renderTemplate(C){const R=this.element,O=getShadowRoot(R)||R;this.view!==null?(this.view.dispose(),this.view=null):this.needsInitialization||DOM.removeChildNodes(O),C&&(this.view=C.render(R,O,R))}static forCustomElement(C){const R=C.$fastController;if(R!==void 0)return R;const O=FASTElementDefinition.forType(C.constructor);if(O===void 0)throw new Error("Missing FASTElement definition.");return C.$fastController=new Controller(C,O)}}function createFASTElement(S){return class extends S{constructor(){super(),Controller.forCustomElement(this)}$emit(C,R,O){return this.$fastController.emit(C,R,O)}connectedCallback(){this.$fastController.onConnectedCallback()}disconnectedCallback(){this.$fastController.onDisconnectedCallback()}attributeChangedCallback(C,R,O){this.$fastController.onAttributeChangedCallback(C,R,O)}}}const FASTElement=Object.assign(createFASTElement(HTMLElement),{from(S){return createFASTElement(S)},define(S,C){return new FASTElementDefinition(S,C).define().type}});class CSSDirective{createCSS(){return""}createBehavior(){}}function collectStyles(S,C){const R=[];let O="";const I=[];for(let N=0,L=S.length-1;N<L;++N){O+=S[N];let B=C[N];if(B instanceof CSSDirective){const j=B.createBehavior();B=B.createCSS(),j&&I.push(j)}B instanceof ElementStyles||B instanceof CSSStyleSheet?(O.trim()!==""&&(R.push(O),O=""),R.push(B)):O+=B}return O+=S[S.length-1],O.trim()!==""&&R.push(O),{styles:R,behaviors:I}}function css$1(S,...C){const{styles:R,behaviors:O}=collectStyles(S,C),I=ElementStyles.create(R);return O.length&&I.withBehaviors(...O),I}function newSplice(S,C,R){return{index:S,removed:C,addedCount:R}}const EDIT_LEAVE=0,EDIT_UPDATE=1,EDIT_ADD=2,EDIT_DELETE=3;function calcEditDistances(S,C,R,O,I,N){const L=N-I+1,B=R-C+1,j=new Array(L);let F,V;for(let K=0;K<L;++K)j[K]=new Array(B),j[K][0]=K;for(let K=0;K<B;++K)j[0][K]=K;for(let K=1;K<L;++K)for(let W=1;W<B;++W)S[C+W-1]===O[I+K-1]?j[K][W]=j[K-1][W-1]:(F=j[K-1][W]+1,V=j[K][W-1]+1,j[K][W]=F<V?F:V);return j}function spliceOperationsFromEditDistances(S){let C=S.length-1,R=S[0].length-1,O=S[C][R];const I=[];for(;C>0||R>0;){if(C===0){I.push(EDIT_ADD),R--;continue}if(R===0){I.push(EDIT_DELETE),C--;continue}const N=S[C-1][R-1],L=S[C-1][R],B=S[C][R-1];let j;L<B?j=L<N?L:N:j=B<N?B:N,j===N?(N===O?I.push(EDIT_LEAVE):(I.push(EDIT_UPDATE),O=N),C--,R--):j===L?(I.push(EDIT_DELETE),C--,O=L):(I.push(EDIT_ADD),R--,O=B)}return I.reverse(),I}function sharedPrefix(S,C,R){for(let O=0;O<R;++O)if(S[O]!==C[O])return O;return R}function sharedSuffix(S,C,R){let O=S.length,I=C.length,N=0;for(;N<R&&S[--O]===C[--I];)N++;return N}function intersect(S,C,R,O){return C<R||O<S?-1:C===R||O===S?0:S<R?C<O?C-R:O-R:O<C?O-S:C-S}function calcSplices(S,C,R,O,I,N){let L=0,B=0;const j=Math.min(R-C,N-I);if(C===0&&I===0&&(L=sharedPrefix(S,O,j)),R===S.length&&N===O.length&&(B=sharedSuffix(S,O,j-L)),C+=L,I+=L,R-=B,N-=B,R-C===0&&N-I===0)return emptyArray;if(C===R){const J=newSplice(C,[],0);for(;I<N;)J.removed.push(O[I++]);return[J]}else if(I===N)return[newSplice(C,[],R-C)];const F=spliceOperationsFromEditDistances(calcEditDistances(S,C,R,O,I,N)),V=[];let K,W=C,X=I;for(let J=0;J<F.length;++J)switch(F[J]){case EDIT_LEAVE:K!==void 0&&(V.push(K),K=void 0),W++,X++;break;case EDIT_UPDATE:K===void 0&&(K=newSplice(W,[],0)),K.addedCount++,W++,K.removed.push(O[X]),X++;break;case EDIT_ADD:K===void 0&&(K=newSplice(W,[],0)),K.addedCount++,W++;break;case EDIT_DELETE:K===void 0&&(K=newSplice(W,[],0)),K.removed.push(O[X]),X++;break}return K!==void 0&&V.push(K),V}const $push=Array.prototype.push;function mergeSplice(S,C,R,O){const I=newSplice(C,R,O);let N=!1,L=0;for(let B=0;B<S.length;B++){const j=S[B];if(j.index+=L,N)continue;const F=intersect(I.index,I.index+I.removed.length,j.index,j.index+j.addedCount);if(F>=0){S.splice(B,1),B--,L-=j.addedCount-j.removed.length,I.addedCount+=j.addedCount-F;const V=I.removed.length+j.removed.length-F;if(!I.addedCount&&!V)N=!0;else{let K=j.removed;if(I.index<j.index){const W=I.removed.slice(0,j.index-I.index);$push.apply(W,K),K=W}if(I.index+I.removed.length>j.index+j.addedCount){const W=I.removed.slice(j.index+j.addedCount-I.index);$push.apply(K,W)}I.removed=K,j.index<I.index&&(I.index=j.index)}}else if(I.index<j.index){N=!0,S.splice(B,0,I),B++;const V=I.addedCount-I.removed.length;j.index+=V,L+=V}}N||S.push(I)}function createInitialSplices(S){const C=[];for(let R=0,O=S.length;R<O;R++){const I=S[R];mergeSplice(C,I.index,I.removed,I.addedCount)}return C}function projectArraySplices(S,C){let R=[];const O=createInitialSplices(C);for(let I=0,N=O.length;I<N;++I){const L=O[I];if(L.addedCount===1&&L.removed.length===1){L.removed[0]!==S[L.index]&&R.push(L);continue}R=R.concat(calcSplices(S,L.index,L.index+L.addedCount,L.removed,0,L.removed.length))}return R}let arrayObservationEnabled=!1;function adjustIndex(S,C){let R=S.index;const O=C.length;return R>O?R=O-S.addedCount:R<0&&(R=O+S.removed.length+R-S.addedCount),R<0&&(R=0),S.index=R,S}class ArrayObserver extends SubscriberSet{constructor(C){super(C),this.oldCollection=void 0,this.splices=void 0,this.needsQueue=!0,this.call=this.flush,Reflect.defineProperty(C,"$fastController",{value:this,enumerable:!1})}subscribe(C){this.flush(),super.subscribe(C)}addSplice(C){this.splices===void 0?this.splices=[C]:this.splices.push(C),this.needsQueue&&(this.needsQueue=!1,DOM.queueUpdate(this))}reset(C){this.oldCollection=C,this.needsQueue&&(this.needsQueue=!1,DOM.queueUpdate(this))}flush(){const C=this.splices,R=this.oldCollection;if(C===void 0&&R===void 0)return;this.needsQueue=!0,this.splices=void 0,this.oldCollection=void 0;const O=R===void 0?projectArraySplices(this.source,C):calcSplices(this.source,0,this.source.length,R,0,R.length);this.notify(O)}}function enableArrayObservation(){if(arrayObservationEnabled)return;arrayObservationEnabled=!0,Observable$1.setArrayObserverFactory(j=>new ArrayObserver(j));const S=Array.prototype;if(S.$fastPatch)return;Reflect.defineProperty(S,"$fastPatch",{value:1,enumerable:!1});const C=S.pop,R=S.push,O=S.reverse,I=S.shift,N=S.sort,L=S.splice,B=S.unshift;S.pop=function(){const j=this.length>0,F=C.apply(this,arguments),V=this.$fastController;return V!==void 0&&j&&V.addSplice(newSplice(this.length,[F],0)),F},S.push=function(){const j=R.apply(this,arguments),F=this.$fastController;return F!==void 0&&F.addSplice(adjustIndex(newSplice(this.length-arguments.length,[],arguments.length),this)),j},S.reverse=function(){let j;const F=this.$fastController;F!==void 0&&(F.flush(),j=this.slice());const V=O.apply(this,arguments);return F!==void 0&&F.reset(j),V},S.shift=function(){const j=this.length>0,F=I.apply(this,arguments),V=this.$fastController;return V!==void 0&&j&&V.addSplice(newSplice(0,[F],0)),F},S.sort=function(){let j;const F=this.$fastController;F!==void 0&&(F.flush(),j=this.slice());const V=N.apply(this,arguments);return F!==void 0&&F.reset(j),V},S.splice=function(){const j=L.apply(this,arguments),F=this.$fastController;return F!==void 0&&F.addSplice(adjustIndex(newSplice(+arguments[0],j,arguments.length>2?arguments.length-2:0),this)),j},S.unshift=function(){const j=B.apply(this,arguments),F=this.$fastController;return F!==void 0&&F.addSplice(adjustIndex(newSplice(0,[],arguments.length),this)),j}}class RefBehavior{constructor(C,R){this.target=C,this.propertyName=R}bind(C){C[this.propertyName]=this.target}unbind(){}}function ref(S){return new AttachedBehaviorHTMLDirective("fast-ref",RefBehavior,S)}const isFunction$1=S=>typeof S=="function",noTemplate=()=>null;function normalizeBinding(S){return S===void 0?noTemplate:isFunction$1(S)?S:()=>S}function when(S,C,R){const O=isFunction$1(S)?S:()=>S,I=normalizeBinding(C),N=normalizeBinding(R);return(L,B)=>O(L,B)?I(L,B):N(L,B)}function bindWithoutPositioning(S,C,R,O){S.bind(C[R],O)}function bindWithPositioning(S,C,R,O){const I=Object.create(O);I.index=R,I.length=C.length,S.bind(C[R],I)}class RepeatBehavior{constructor(C,R,O,I,N,L){this.location=C,this.itemsBinding=R,this.templateBinding=I,this.options=L,this.source=null,this.views=[],this.items=null,this.itemsObserver=null,this.originalContext=void 0,this.childContext=void 0,this.bindView=bindWithoutPositioning,this.itemsBindingObserver=Observable$1.binding(R,this,O),this.templateBindingObserver=Observable$1.binding(I,this,N),L.positioning&&(this.bindView=bindWithPositioning)}bind(C,R){this.source=C,this.originalContext=R,this.childContext=Object.create(R),this.childContext.parent=C,this.childContext.parentContext=this.originalContext,this.items=this.itemsBindingObserver.observe(C,this.originalContext),this.template=this.templateBindingObserver.observe(C,this.originalContext),this.observeItems(!0),this.refreshAllViews()}unbind(){this.source=null,this.items=null,this.itemsObserver!==null&&this.itemsObserver.unsubscribe(this),this.unbindAllViews(),this.itemsBindingObserver.disconnect(),this.templateBindingObserver.disconnect()}handleChange(C,R){C===this.itemsBinding?(this.items=this.itemsBindingObserver.observe(this.source,this.originalContext),this.observeItems(),this.refreshAllViews()):C===this.templateBinding?(this.template=this.templateBindingObserver.observe(this.source,this.originalContext),this.refreshAllViews(!0)):this.updateViews(R)}observeItems(C=!1){if(!this.items){this.items=emptyArray;return}const R=this.itemsObserver,O=this.itemsObserver=Observable$1.getNotifier(this.items),I=R!==O;I&&R!==null&&R.unsubscribe(this),(I||C)&&O.subscribe(this)}updateViews(C){const R=this.childContext,O=this.views,I=this.bindView,N=this.items,L=this.template,B=this.options.recycle,j=[];let F=0,V=0;for(let K=0,W=C.length;K<W;++K){const X=C[K],J=X.removed;let oe=0,pe=X.index;const me=pe+X.addedCount,xe=O.splice(X.index,J.length),Ae=V=j.length+xe.length;for(;pe<me;++pe){const ge=O[pe],Te=ge?ge.firstChild:this.location;let we;B&&V>0?(oe<=Ae&&xe.length>0?(we=xe[oe],oe++):(we=j[F],F++),V--):we=L.create(),O.splice(pe,0,we),I(we,N,pe,R),we.insertBefore(Te)}xe[oe]&&j.push(...xe.slice(oe))}for(let K=F,W=j.length;K<W;++K)j[K].dispose();if(this.options.positioning)for(let K=0,W=O.length;K<W;++K){const X=O[K].context;X.length=W,X.index=K}}refreshAllViews(C=!1){const R=this.items,O=this.childContext,I=this.template,N=this.location,L=this.bindView;let B=R.length,j=this.views,F=j.length;if((B===0||C||!this.options.recycle)&&(HTMLView.disposeContiguousBatch(j),F=0),F===0){this.views=j=new Array(B);for(let V=0;V<B;++V){const K=I.create();L(K,R,V,O),j[V]=K,K.insertBefore(N)}}else{let V=0;for(;V<B;++V)if(V<F){const W=j[V];L(W,R,V,O)}else{const W=I.create();L(W,R,V,O),j.push(W),W.insertBefore(N)}const K=j.splice(V,F-V);for(V=0,B=K.length;V<B;++V)K[V].dispose()}}unbindAllViews(){const C=this.views;for(let R=0,O=C.length;R<O;++R)C[R].unbind()}}class RepeatDirective extends HTMLDirective{constructor(C,R,O){super(),this.itemsBinding=C,this.templateBinding=R,this.options=O,this.createPlaceholder=DOM.createBlockPlaceholder,enableArrayObservation(),this.isItemsBindingVolatile=Observable$1.isVolatileBinding(C),this.isTemplateBindingVolatile=Observable$1.isVolatileBinding(R)}createBehavior(C){return new RepeatBehavior(C,this.itemsBinding,this.isItemsBindingVolatile,this.templateBinding,this.isTemplateBindingVolatile,this.options)}}function elements(S){return S?function(C,R,O){return C.nodeType===1&&C.matches(S)}:function(C,R,O){return C.nodeType===1}}class NodeObservationBehavior{constructor(C,R){this.target=C,this.options=R,this.source=null}bind(C){const R=this.options.property;this.shouldUpdate=Observable$1.getAccessors(C).some(O=>O.name===R),this.source=C,this.updateTarget(this.computeNodes()),this.shouldUpdate&&this.observe()}unbind(){this.updateTarget(emptyArray),this.source=null,this.shouldUpdate&&this.disconnect()}handleEvent(){this.updateTarget(this.computeNodes())}computeNodes(){let C=this.getNodes();return this.options.filter!==void 0&&(C=C.filter(this.options.filter)),C}updateTarget(C){this.source[this.options.property]=C}}class SlottedBehavior extends NodeObservationBehavior{constructor(C,R){super(C,R)}observe(){this.target.addEventListener("slotchange",this)}disconnect(){this.target.removeEventListener("slotchange",this)}getNodes(){return this.target.assignedNodes(this.options)}}function slotted(S){return typeof S=="string"&&(S={property:S}),new AttachedBehaviorHTMLDirective("fast-slotted",SlottedBehavior,S)}class ChildrenBehavior extends NodeObservationBehavior{constructor(C,R){super(C,R),this.observer=null,R.childList=!0}observe(){this.observer===null&&(this.observer=new MutationObserver(this.handleEvent.bind(this))),this.observer.observe(this.target,this.options)}disconnect(){this.observer.disconnect()}getNodes(){return"subtree"in this.options?Array.from(this.target.querySelectorAll(this.options.selector)):Array.from(this.target.childNodes)}}function children(S){return typeof S=="string"&&(S={property:S}),new AttachedBehaviorHTMLDirective("fast-children",ChildrenBehavior,S)}class StartEnd{handleStartContentChange(){this.startContainer.classList.toggle("start",this.start.assignedNodes().length>0)}handleEndContentChange(){this.endContainer.classList.toggle("end",this.end.assignedNodes().length>0)}}const endSlotTemplate=(S,C)=>html$4`
-    <span
-        part="end"
-        ${ref("endContainer")}
-        class=${R=>C.end?"end":void 0}
-    >
-        <slot name="end" ${ref("end")} @slotchange="${R=>R.handleEndContentChange()}">
-            ${C.end||""}
-        </slot>
-    </span>
-`,startSlotTemplate=(S,C)=>html$4`
-    <span
-        part="start"
-        ${ref("startContainer")}
-        class="${R=>C.start?"start":void 0}"
-    >
-        <slot
-            name="start"
-            ${ref("start")}
-            @slotchange="${R=>R.handleStartContentChange()}"
-        >
-            ${C.start||""}
-        </slot>
-    </span>
-`;html$4`
-    <span part="end" ${ref("endContainer")}>
-        <slot
-            name="end"
-            ${ref("end")}
-            @slotchange="${S=>S.handleEndContentChange()}"
-        ></slot>
-    </span>
-`,html$4`
-    <span part="start" ${ref("startContainer")}>
-        <slot
-            name="start"
-            ${ref("start")}
-            @slotchange="${S=>S.handleStartContentChange()}"
-        ></slot>
-    </span>
-`;/*! *****************************************************************************
-	Copyright (c) Microsoft Corporation.
-
-	Permission to use, copy, modify, and/or distribute this software for any
-	purpose with or without fee is hereby granted.
-
-	THE SOFTWARE IS PROVIDED "AS IS" AND THE AUTHOR DISCLAIMS ALL WARRANTIES WITH
-	REGARD TO THIS SOFTWARE INCLUDING ALL IMPLIED WARRANTIES OF MERCHANTABILITY
-	AND FITNESS. IN NO EVENT SHALL THE AUTHOR BE LIABLE FOR ANY SPECIAL, DIRECT,
-	INDIRECT, OR CONSEQUENTIAL DAMAGES OR ANY DAMAGES WHATSOEVER RESULTING FROM
-	LOSS OF USE, DATA OR PROFITS, WHETHER IN AN ACTION OF CONTRACT, NEGLIGENCE OR
-	OTHER TORTIOUS ACTION, ARISING OUT OF OR IN CONNECTION WITH THE USE OR
-	PERFORMANCE OF THIS SOFTWARE.
-	***************************************************************************** */function __decorate(S,C,R,O){var I=arguments.length,N=I<3?C:O===null?O=Object.getOwnPropertyDescriptor(C,R):O,L;if(typeof Reflect=="object"&&typeof Reflect.decorate=="function")N=Reflect.decorate(S,C,R,O);else for(var B=S.length-1;B>=0;B--)(L=S[B])&&(N=(I<3?L(N):I>3?L(C,R,N):L(C,R))||N);return I>3&&N&&Object.defineProperty(C,R,N),N}const metadataByTarget=new Map;"metadata"in Reflect||(Reflect.metadata=function(S,C){return function(R){Reflect.defineMetadata(S,C,R)}},Reflect.defineMetadata=function(S,C,R){let O=metadataByTarget.get(R);O===void 0&&metadataByTarget.set(R,O=new Map),O.set(S,C)},Reflect.getOwnMetadata=function(S,C){const R=metadataByTarget.get(C);if(R!==void 0)return R.get(S)});class ResolverBuilder{constructor(C,R){this.container=C,this.key=R}instance(C){return this.registerResolver(0,C)}singleton(C){return this.registerResolver(1,C)}transient(C){return this.registerResolver(2,C)}callback(C){return this.registerResolver(3,C)}cachedCallback(C){return this.registerResolver(3,cacheCallbackResult(C))}aliasTo(C){return this.registerResolver(5,C)}registerResolver(C,R){const{container:O,key:I}=this;return this.container=this.key=void 0,O.registerResolver(I,new ResolverImpl(I,C,R))}}function cloneArrayWithPossibleProps(S){const C=S.slice(),R=Object.keys(S),O=R.length;let I;for(let N=0;N<O;++N)I=R[N],isArrayIndex(I)||(C[I]=S[I]);return C}const DefaultResolver=Object.freeze({none(S){throw Error(`${S.toString()} not registered, did you forget to add @singleton()?`)},singleton(S){return new ResolverImpl(S,1,S)},transient(S){return new ResolverImpl(S,2,S)}}),ContainerConfiguration=Object.freeze({default:Object.freeze({parentLocator:()=>null,responsibleForOwnerRequests:!1,defaultResolver:DefaultResolver.singleton})}),dependencyLookup=new Map;function getParamTypes(S){return C=>Reflect.getOwnMetadata(S,C)}let rootDOMContainer=null;const DI=Object.freeze({createContainer(S){return new ContainerImpl(null,Object.assign({},ContainerConfiguration.default,S))},findResponsibleContainer(S){const C=S.$$container$$;return C&&C.responsibleForOwnerRequests?C:DI.findParentContainer(S)},findParentContainer(S){const C=new CustomEvent(DILocateParentEventType,{bubbles:!0,composed:!0,cancelable:!0,detail:{container:void 0}});return S.dispatchEvent(C),C.detail.container||DI.getOrCreateDOMContainer()},getOrCreateDOMContainer(S,C){return S?S.$$container$$||new ContainerImpl(S,Object.assign({},ContainerConfiguration.default,C,{parentLocator:DI.findParentContainer})):rootDOMContainer||(rootDOMContainer=new ContainerImpl(null,Object.assign({},ContainerConfiguration.default,C,{parentLocator:()=>null})))},getDesignParamtypes:getParamTypes("design:paramtypes"),getAnnotationParamtypes:getParamTypes("di:paramtypes"),getOrCreateAnnotationParamTypes(S){let C=this.getAnnotationParamtypes(S);return C===void 0&&Reflect.defineMetadata("di:paramtypes",C=[],S),C},getDependencies(S){let C=dependencyLookup.get(S);if(C===void 0){const R=S.inject;if(R===void 0){const O=DI.getDesignParamtypes(S),I=DI.getAnnotationParamtypes(S);if(O===void 0)if(I===void 0){const N=Object.getPrototypeOf(S);typeof N=="function"&&N!==Function.prototype?C=cloneArrayWithPossibleProps(DI.getDependencies(N)):C=[]}else C=cloneArrayWithPossibleProps(I);else if(I===void 0)C=cloneArrayWithPossibleProps(O);else{C=cloneArrayWithPossibleProps(O);let N=I.length,L;for(let F=0;F<N;++F)L=I[F],L!==void 0&&(C[F]=L);const B=Object.keys(I);N=B.length;let j;for(let F=0;F<N;++F)j=B[F],isArrayIndex(j)||(C[j]=I[j])}}else C=cloneArrayWithPossibleProps(R);dependencyLookup.set(S,C)}return C},defineProperty(S,C,R,O=!1){const I=`$di_${C}`;Reflect.defineProperty(S,C,{get:function(){let N=this[I];if(N===void 0&&(N=(this instanceof HTMLElement?DI.findResponsibleContainer(this):DI.getOrCreateDOMContainer()).get(R),this[I]=N,O&&this instanceof FASTElement)){const B=this.$fastController,j=()=>{const V=DI.findResponsibleContainer(this).get(R),K=this[I];V!==K&&(this[I]=N,B.notify(C))};B.subscribe({handleChange:j},"isConnected")}return N}})},createInterface(S,C){const R=typeof S=="function"?S:C,O=typeof S=="string"?S:S&&"friendlyName"in S&&S.friendlyName||defaultFriendlyName,I=typeof S=="string"?!1:S&&"respectConnection"in S&&S.respectConnection||!1,N=function(L,B,j){if(L==null||new.target!==void 0)throw new Error(`No registration for interface: '${N.friendlyName}'`);if(B)DI.defineProperty(L,B,N,I);else{const F=DI.getOrCreateAnnotationParamTypes(L);F[j]=N}};return N.$isInterface=!0,N.friendlyName=O??"(anonymous)",R!=null&&(N.register=function(L,B){return R(new ResolverBuilder(L,B??N))}),N.toString=function(){return`InterfaceSymbol<${N.friendlyName}>`},N},inject(...S){return function(C,R,O){if(typeof O=="number"){const I=DI.getOrCreateAnnotationParamTypes(C),N=S[0];N!==void 0&&(I[O]=N)}else if(R)DI.defineProperty(C,R,S[0]);else{const I=O?DI.getOrCreateAnnotationParamTypes(O.value):DI.getOrCreateAnnotationParamTypes(C);let N;for(let L=0;L<S.length;++L)N=S[L],N!==void 0&&(I[L]=N)}}},transient(S){return S.register=function(R){return Registration.transient(S,S).register(R)},S.registerInRequestor=!1,S},singleton(S,C=defaultSingletonOptions){return S.register=function(O){return Registration.singleton(S,S).register(O)},S.registerInRequestor=C.scoped,S}}),Container=DI.createInterface("Container");DI.inject;const defaultSingletonOptions={scoped:!1};class ResolverImpl{constructor(C,R,O){this.key=C,this.strategy=R,this.state=O,this.resolving=!1}get $isResolver(){return!0}register(C){return C.registerResolver(this.key,this)}resolve(C,R){switch(this.strategy){case 0:return this.state;case 1:{if(this.resolving)throw new Error(`Cyclic dependency found: ${this.state.name}`);return this.resolving=!0,this.state=C.getFactory(this.state).construct(R),this.strategy=0,this.resolving=!1,this.state}case 2:{const O=C.getFactory(this.state);if(O===null)throw new Error(`Resolver for ${String(this.key)} returned a null factory`);return O.construct(R)}case 3:return this.state(C,R,this);case 4:return this.state[0].resolve(C,R);case 5:return R.get(this.state);default:throw new Error(`Invalid resolver strategy specified: ${this.strategy}.`)}}getFactory(C){var R,O,I;switch(this.strategy){case 1:case 2:return C.getFactory(this.state);case 5:return(I=(O=(R=C.getResolver(this.state))===null||R===void 0?void 0:R.getFactory)===null||O===void 0?void 0:O.call(R,C))!==null&&I!==void 0?I:null;default:return null}}}function containerGetKey(S){return this.get(S)}function transformInstance(S,C){return C(S)}class FactoryImpl{constructor(C,R){this.Type=C,this.dependencies=R,this.transformers=null}construct(C,R){let O;return R===void 0?O=new this.Type(...this.dependencies.map(containerGetKey,C)):O=new this.Type(...this.dependencies.map(containerGetKey,C),...R),this.transformers==null?O:this.transformers.reduce(transformInstance,O)}registerTransformer(C){(this.transformers||(this.transformers=[])).push(C)}}const containerResolver={$isResolver:!0,resolve(S,C){return C}};function isRegistry(S){return typeof S.register=="function"}function isSelfRegistry(S){return isRegistry(S)&&typeof S.registerInRequestor=="boolean"}function isRegisterInRequester(S){return isSelfRegistry(S)&&S.registerInRequestor}function isClass(S){return S.prototype!==void 0}const InstrinsicTypeNames=new Set(["Array","ArrayBuffer","Boolean","DataView","Date","Error","EvalError","Float32Array","Float64Array","Function","Int8Array","Int16Array","Int32Array","Map","Number","Object","Promise","RangeError","ReferenceError","RegExp","Set","SharedArrayBuffer","String","SyntaxError","TypeError","Uint8Array","Uint8ClampedArray","Uint16Array","Uint32Array","URIError","WeakMap","WeakSet"]),DILocateParentEventType="__DI_LOCATE_PARENT__",factories=new Map;class ContainerImpl{constructor(C,R){this.owner=C,this.config=R,this._parent=void 0,this.registerDepth=0,this.context=null,C!==null&&(C.$$container$$=this),this.resolvers=new Map,this.resolvers.set(Container,containerResolver),C instanceof Node&&C.addEventListener(DILocateParentEventType,O=>{O.composedPath()[0]!==this.owner&&(O.detail.container=this,O.stopImmediatePropagation())})}get parent(){return this._parent===void 0&&(this._parent=this.config.parentLocator(this.owner)),this._parent}get depth(){return this.parent===null?0:this.parent.depth+1}get responsibleForOwnerRequests(){return this.config.responsibleForOwnerRequests}registerWithContext(C,...R){return this.context=C,this.register(...R),this.context=null,this}register(...C){if(++this.registerDepth===100)throw new Error("Unable to autoregister dependency");let R,O,I,N,L;const B=this.context;for(let j=0,F=C.length;j<F;++j)if(R=C[j],!!isObject$l(R))if(isRegistry(R))R.register(this,B);else if(isClass(R))Registration.singleton(R,R).register(this);else for(O=Object.keys(R),N=0,L=O.length;N<L;++N)I=R[O[N]],isObject$l(I)&&(isRegistry(I)?I.register(this,B):this.register(I));return--this.registerDepth,this}registerResolver(C,R){validateKey(C);const O=this.resolvers,I=O.get(C);return I==null?O.set(C,R):I instanceof ResolverImpl&&I.strategy===4?I.state.push(R):O.set(C,new ResolverImpl(C,4,[I,R])),R}registerTransformer(C,R){const O=this.getResolver(C);if(O==null)return!1;if(O.getFactory){const I=O.getFactory(this);return I==null?!1:(I.registerTransformer(R),!0)}return!1}getResolver(C,R=!0){if(validateKey(C),C.resolve!==void 0)return C;let O=this,I;for(;O!=null;)if(I=O.resolvers.get(C),I==null){if(O.parent==null){const N=isRegisterInRequester(C)?this:O;return R?this.jitRegister(C,N):null}O=O.parent}else return I;return null}has(C,R=!1){return this.resolvers.has(C)?!0:R&&this.parent!=null?this.parent.has(C,!0):!1}get(C){if(validateKey(C),C.$isResolver)return C.resolve(this,this);let R=this,O;for(;R!=null;)if(O=R.resolvers.get(C),O==null){if(R.parent==null){const I=isRegisterInRequester(C)?this:R;return O=this.jitRegister(C,I),O.resolve(R,this)}R=R.parent}else return O.resolve(R,this);throw new Error(`Unable to resolve key: ${String(C)}`)}getAll(C,R=!1){validateKey(C);const O=this;let I=O,N;if(R){let L=emptyArray;for(;I!=null;)N=I.resolvers.get(C),N!=null&&(L=L.concat(buildAllResponse(N,I,O))),I=I.parent;return L}else for(;I!=null;)if(N=I.resolvers.get(C),N==null){if(I=I.parent,I==null)return emptyArray}else return buildAllResponse(N,I,O);return emptyArray}getFactory(C){let R=factories.get(C);if(R===void 0){if(isNativeFunction(C))throw new Error(`${C.name} is a native function and therefore cannot be safely constructed by DI. If this is intentional, please use a callback or cachedCallback resolver.`);factories.set(C,R=new FactoryImpl(C,DI.getDependencies(C)))}return R}registerFactory(C,R){factories.set(C,R)}createChild(C){return new ContainerImpl(null,Object.assign({},this.config,C,{parentLocator:()=>this}))}jitRegister(C,R){if(typeof C!="function")throw new Error(`Attempted to jitRegister something that is not a constructor: '${C}'. Did you forget to register this dependency?`);if(InstrinsicTypeNames.has(C.name))throw new Error(`Attempted to jitRegister an intrinsic type: ${C.name}. Did you forget to add @inject(Key)`);if(isRegistry(C)){const O=C.register(R);if(!(O instanceof Object)||O.resolve==null){const I=R.resolvers.get(C);if(I!=null)return I;throw new Error("A valid resolver was not returned from the static register method")}return O}else{if(C.$isInterface)throw new Error(`Attempted to jitRegister an interface: ${C.friendlyName}`);{const O=this.config.defaultResolver(C,R);return R.resolvers.set(C,O),O}}}}const cache=new WeakMap;function cacheCallbackResult(S){return function(C,R,O){if(cache.has(O))return cache.get(O);const I=S(C,R,O);return cache.set(O,I),I}}const Registration=Object.freeze({instance(S,C){return new ResolverImpl(S,0,C)},singleton(S,C){return new ResolverImpl(S,1,C)},transient(S,C){return new ResolverImpl(S,2,C)},callback(S,C){return new ResolverImpl(S,3,C)},cachedCallback(S,C){return new ResolverImpl(S,3,cacheCallbackResult(C))},aliasTo(S,C){return new ResolverImpl(C,5,S)}});function validateKey(S){if(S==null)throw new Error("key/value cannot be null or undefined. Are you trying to inject/register something that doesn't exist with DI?")}function buildAllResponse(S,C,R){if(S instanceof ResolverImpl&&S.strategy===4){const O=S.state;let I=O.length;const N=new Array(I);for(;I--;)N[I]=O[I].resolve(C,R);return N}return[S.resolve(C,R)]}const defaultFriendlyName="(anonymous)";function isObject$l(S){return typeof S=="object"&&S!==null||typeof S=="function"}const isNativeFunction=function(){const S=new WeakMap;let C=!1,R="",O=0;return function(I){return C=S.get(I),C===void 0&&(R=I.toString(),O=R.length,C=O>=29&&O<=100&&R.charCodeAt(O-1)===125&&R.charCodeAt(O-2)<=32&&R.charCodeAt(O-3)===93&&R.charCodeAt(O-4)===101&&R.charCodeAt(O-5)===100&&R.charCodeAt(O-6)===111&&R.charCodeAt(O-7)===99&&R.charCodeAt(O-8)===32&&R.charCodeAt(O-9)===101&&R.charCodeAt(O-10)===118&&R.charCodeAt(O-11)===105&&R.charCodeAt(O-12)===116&&R.charCodeAt(O-13)===97&&R.charCodeAt(O-14)===110&&R.charCodeAt(O-15)===88,S.set(I,C)),C}}(),isNumericLookup={};function isArrayIndex(S){switch(typeof S){case"number":return S>=0&&(S|0)===S;case"string":{const C=isNumericLookup[S];if(C!==void 0)return C;const R=S.length;if(R===0)return isNumericLookup[S]=!1;let O=0;for(let I=0;I<R;++I)if(O=S.charCodeAt(I),I===0&&O===48&&R>1||O<48||O>57)return isNumericLookup[S]=!1;return isNumericLookup[S]=!0}default:return!1}}function presentationKeyFromTag(S){return`${S.toLowerCase()}:presentation`}const presentationRegistry=new Map,ComponentPresentation=Object.freeze({define(S,C,R){const O=presentationKeyFromTag(S);presentationRegistry.get(O)===void 0?presentationRegistry.set(O,C):presentationRegistry.set(O,!1),R.register(Registration.instance(O,C))},forTag(S,C){const R=presentationKeyFromTag(S),O=presentationRegistry.get(R);return O===!1?DI.findResponsibleContainer(C).get(R):O||null}});class DefaultComponentPresentation{constructor(C,R){this.template=C||null,this.styles=R===void 0?null:Array.isArray(R)?ElementStyles.create(R):R instanceof ElementStyles?R:ElementStyles.create([R])}applyTo(C){const R=C.$fastController;R.template===null&&(R.template=this.template),R.styles===null&&(R.styles=this.styles)}}class FoundationElement extends FASTElement{constructor(){super(...arguments),this._presentation=void 0}get $presentation(){return this._presentation===void 0&&(this._presentation=ComponentPresentation.forTag(this.tagName,this)),this._presentation}templateChanged(){this.template!==void 0&&(this.$fastController.template=this.template)}stylesChanged(){this.styles!==void 0&&(this.$fastController.styles=this.styles)}connectedCallback(){this.$presentation!==null&&this.$presentation.applyTo(this),super.connectedCallback()}static compose(C){return(R={})=>new FoundationElementRegistry(this===FoundationElement?class extends FoundationElement{}:this,C,R)}}__decorate([observable],FoundationElement.prototype,"template",void 0),__decorate([observable],FoundationElement.prototype,"styles",void 0);function resolveOption(S,C,R){return typeof S=="function"?S(C,R):S}class FoundationElementRegistry{constructor(C,R,O){this.type=C,this.elementDefinition=R,this.overrideDefinition=O,this.definition=Object.assign(Object.assign({},this.elementDefinition),this.overrideDefinition)}register(C,R){const O=this.definition,I=this.overrideDefinition,L=`${O.prefix||R.elementPrefix}-${O.baseName}`;R.tryDefineElement({name:L,type:this.type,baseClass:this.elementDefinition.baseClass,callback:B=>{const j=new DefaultComponentPresentation(resolveOption(O.template,B,O),resolveOption(O.styles,B,O));B.definePresentation(j);let F=resolveOption(O.shadowOptions,B,O);B.shadowRootMode&&(F?I.shadowOptions||(F.mode=B.shadowRootMode):F!==null&&(F={mode:B.shadowRootMode})),B.defineElement({elementOptions:resolveOption(O.elementOptions,B,O),shadowOptions:F,attributes:resolveOption(O.attributes,B,O)})}})}}function applyMixins(S,...C){const R=AttributeConfiguration.locate(S);C.forEach(O=>{Object.getOwnPropertyNames(O.prototype).forEach(N=>{N!=="constructor"&&Object.defineProperty(S.prototype,N,Object.getOwnPropertyDescriptor(O.prototype,N))}),AttributeConfiguration.locate(O).forEach(N=>R.push(N))})}const Orientation={horizontal:"horizontal",vertical:"vertical"};function findLastIndex(S,C){let R=S.length;for(;R--;)if(C(S[R],R,S))return R;return-1}function canUseDOM$1(){return!!(typeof window<"u"&&window.document&&window.document.createElement)}function isHTMLElement$1(...S){return S.every(C=>C instanceof HTMLElement)}function getNonce(){const S=document.querySelector('meta[property="csp-nonce"]');return S?S.getAttribute("content"):null}let _canUseFocusVisible;function canUseFocusVisible(){if(typeof _canUseFocusVisible=="boolean")return _canUseFocusVisible;if(!canUseDOM$1())return _canUseFocusVisible=!1,_canUseFocusVisible;const S=document.createElement("style"),C=getNonce();C!==null&&S.setAttribute("nonce",C),document.head.appendChild(S);try{S.sheet.insertRule("foo:focus-visible {color:inherit}",0),_canUseFocusVisible=!0}catch{_canUseFocusVisible=!1}finally{document.head.removeChild(S)}return _canUseFocusVisible}const eventFocus="focus",eventFocusIn="focusin",eventFocusOut="focusout",eventKeyDown="keydown";var KeyCodes;(function(S){S[S.alt=18]="alt",S[S.arrowDown=40]="arrowDown",S[S.arrowLeft=37]="arrowLeft",S[S.arrowRight=39]="arrowRight",S[S.arrowUp=38]="arrowUp",S[S.back=8]="back",S[S.backSlash=220]="backSlash",S[S.break=19]="break",S[S.capsLock=20]="capsLock",S[S.closeBracket=221]="closeBracket",S[S.colon=186]="colon",S[S.colon2=59]="colon2",S[S.comma=188]="comma",S[S.ctrl=17]="ctrl",S[S.delete=46]="delete",S[S.end=35]="end",S[S.enter=13]="enter",S[S.equals=187]="equals",S[S.equals2=61]="equals2",S[S.equals3=107]="equals3",S[S.escape=27]="escape",S[S.forwardSlash=191]="forwardSlash",S[S.function1=112]="function1",S[S.function10=121]="function10",S[S.function11=122]="function11",S[S.function12=123]="function12",S[S.function2=113]="function2",S[S.function3=114]="function3",S[S.function4=115]="function4",S[S.function5=116]="function5",S[S.function6=117]="function6",S[S.function7=118]="function7",S[S.function8=119]="function8",S[S.function9=120]="function9",S[S.home=36]="home",S[S.insert=45]="insert",S[S.menu=93]="menu",S[S.minus=189]="minus",S[S.minus2=109]="minus2",S[S.numLock=144]="numLock",S[S.numPad0=96]="numPad0",S[S.numPad1=97]="numPad1",S[S.numPad2=98]="numPad2",S[S.numPad3=99]="numPad3",S[S.numPad4=100]="numPad4",S[S.numPad5=101]="numPad5",S[S.numPad6=102]="numPad6",S[S.numPad7=103]="numPad7",S[S.numPad8=104]="numPad8",S[S.numPad9=105]="numPad9",S[S.numPadDivide=111]="numPadDivide",S[S.numPadDot=110]="numPadDot",S[S.numPadMinus=109]="numPadMinus",S[S.numPadMultiply=106]="numPadMultiply",S[S.numPadPlus=107]="numPadPlus",S[S.openBracket=219]="openBracket",S[S.pageDown=34]="pageDown",S[S.pageUp=33]="pageUp",S[S.period=190]="period",S[S.print=44]="print",S[S.quote=222]="quote",S[S.scrollLock=145]="scrollLock",S[S.shift=16]="shift",S[S.space=32]="space",S[S.tab=9]="tab",S[S.tilde=192]="tilde",S[S.windowsLeft=91]="windowsLeft",S[S.windowsOpera=219]="windowsOpera",S[S.windowsRight=92]="windowsRight"})(KeyCodes||(KeyCodes={}));const keyArrowDown="ArrowDown",keyArrowLeft="ArrowLeft",keyArrowRight="ArrowRight",keyArrowUp="ArrowUp",keyEnter="Enter",keyEscape="Escape",keyHome="Home",keyEnd="End",keyFunction2="F2",keyPageDown="PageDown",keyPageUp="PageUp",keySpace=" ",keyTab="Tab",ArrowKeys={ArrowDown:keyArrowDown,ArrowLeft:keyArrowLeft,ArrowRight:keyArrowRight,ArrowUp:keyArrowUp};var Direction;(function(S){S.ltr="ltr",S.rtl="rtl"})(Direction||(Direction={}));function limit(S,C,R){return Math.min(Math.max(R,S),C)}function inRange(S,C,R=0){return[C,R]=[C,R].sort((O,I)=>O-I),C<=S&&S<R}let uniqueIdCounter=0;function uniqueId$1(S=""){return`${S}${uniqueIdCounter++}`}const anchorTemplate=(S,C)=>html$4`
-    <a
-        class="control"
-        part="control"
-        download="${R=>R.download}"
-        href="${R=>R.href}"
-        hreflang="${R=>R.hreflang}"
-        ping="${R=>R.ping}"
-        referrerpolicy="${R=>R.referrerpolicy}"
-        rel="${R=>R.rel}"
-        target="${R=>R.target}"
-        type="${R=>R.type}"
-        aria-atomic="${R=>R.ariaAtomic}"
-        aria-busy="${R=>R.ariaBusy}"
-        aria-controls="${R=>R.ariaControls}"
-        aria-current="${R=>R.ariaCurrent}"
-        aria-describedby="${R=>R.ariaDescribedby}"
-        aria-details="${R=>R.ariaDetails}"
-        aria-disabled="${R=>R.ariaDisabled}"
-        aria-errormessage="${R=>R.ariaErrormessage}"
-        aria-expanded="${R=>R.ariaExpanded}"
-        aria-flowto="${R=>R.ariaFlowto}"
-        aria-haspopup="${R=>R.ariaHaspopup}"
-        aria-hidden="${R=>R.ariaHidden}"
-        aria-invalid="${R=>R.ariaInvalid}"
-        aria-keyshortcuts="${R=>R.ariaKeyshortcuts}"
-        aria-label="${R=>R.ariaLabel}"
-        aria-labelledby="${R=>R.ariaLabelledby}"
-        aria-live="${R=>R.ariaLive}"
-        aria-owns="${R=>R.ariaOwns}"
-        aria-relevant="${R=>R.ariaRelevant}"
-        aria-roledescription="${R=>R.ariaRoledescription}"
-        ${ref("control")}
-    >
-        ${startSlotTemplate(S,C)}
-        <span class="content" part="content">
-            <slot ${slotted("defaultSlottedContent")}></slot>
-        </span>
-        ${endSlotTemplate(S,C)}
-    </a>
-`;class ARIAGlobalStatesAndProperties{}__decorate([attr({attribute:"aria-atomic"})],ARIAGlobalStatesAndProperties.prototype,"ariaAtomic",void 0),__decorate([attr({attribute:"aria-busy"})],ARIAGlobalStatesAndProperties.prototype,"ariaBusy",void 0),__decorate([attr({attribute:"aria-controls"})],ARIAGlobalStatesAndProperties.prototype,"ariaControls",void 0),__decorate([attr({attribute:"aria-current"})],ARIAGlobalStatesAndProperties.prototype,"ariaCurrent",void 0),__decorate([attr({attribute:"aria-describedby"})],ARIAGlobalStatesAndProperties.prototype,"ariaDescribedby",void 0),__decorate([attr({attribute:"aria-details"})],ARIAGlobalStatesAndProperties.prototype,"ariaDetails",void 0),__decorate([attr({attribute:"aria-disabled"})],ARIAGlobalStatesAndProperties.prototype,"ariaDisabled",void 0),__decorate([attr({attribute:"aria-errormessage"})],ARIAGlobalStatesAndProperties.prototype,"ariaErrormessage",void 0),__decorate([attr({attribute:"aria-flowto"})],ARIAGlobalStatesAndProperties.prototype,"ariaFlowto",void 0),__decorate([attr({attribute:"aria-haspopup"})],ARIAGlobalStatesAndProperties.prototype,"ariaHaspopup",void 0),__decorate([attr({attribute:"aria-hidden"})],ARIAGlobalStatesAndProperties.prototype,"ariaHidden",void 0),__decorate([attr({attribute:"aria-invalid"})],ARIAGlobalStatesAndProperties.prototype,"ariaInvalid",void 0),__decorate([attr({attribute:"aria-keyshortcuts"})],ARIAGlobalStatesAndProperties.prototype,"ariaKeyshortcuts",void 0),__decorate([attr({attribute:"aria-label"})],ARIAGlobalStatesAndProperties.prototype,"ariaLabel",void 0),__decorate([attr({attribute:"aria-labelledby"})],ARIAGlobalStatesAndProperties.prototype,"ariaLabelledby",void 0),__decorate([attr({attribute:"aria-live"})],ARIAGlobalStatesAndProperties.prototype,"ariaLive",void 0),__decorate([attr({attribute:"aria-owns"})],ARIAGlobalStatesAndProperties.prototype,"ariaOwns",void 0),__decorate([attr({attribute:"aria-relevant"})],ARIAGlobalStatesAndProperties.prototype,"ariaRelevant",void 0),__decorate([attr({attribute:"aria-roledescription"})],ARIAGlobalStatesAndProperties.prototype,"ariaRoledescription",void 0);class Anchor extends FoundationElement{constructor(){super(...arguments),this.handleUnsupportedDelegatesFocus=()=>{var C;window.ShadowRoot&&!window.ShadowRoot.prototype.hasOwnProperty("delegatesFocus")&&(!((C=this.$fastController.definition.shadowOptions)===null||C===void 0)&&C.delegatesFocus)&&(this.focus=()=>{var R;(R=this.control)===null||R===void 0||R.focus()})}}connectedCallback(){super.connectedCallback(),this.handleUnsupportedDelegatesFocus()}}__decorate([attr],Anchor.prototype,"download",void 0),__decorate([attr],Anchor.prototype,"href",void 0),__decorate([attr],Anchor.prototype,"hreflang",void 0),__decorate([attr],Anchor.prototype,"ping",void 0),__decorate([attr],Anchor.prototype,"referrerpolicy",void 0),__decorate([attr],Anchor.prototype,"rel",void 0),__decorate([attr],Anchor.prototype,"target",void 0),__decorate([attr],Anchor.prototype,"type",void 0),__decorate([observable],Anchor.prototype,"defaultSlottedContent",void 0);class DelegatesARIALink{}__decorate([attr({attribute:"aria-expanded"})],DelegatesARIALink.prototype,"ariaExpanded",void 0),applyMixins(DelegatesARIALink,ARIAGlobalStatesAndProperties),applyMixins(Anchor,StartEnd,DelegatesARIALink);const getDirection=S=>{const C=S.closest("[dir]");return C!==null&&C.dir==="rtl"?Direction.rtl:Direction.ltr},badgeTemplate=(S,C)=>html$4`
-    <template class="${R=>R.circular?"circular":""}">
-        <div class="control" part="control" style="${R=>R.generateBadgeStyle()}">
-            <slot></slot>
-        </div>
-    </template>
-`;let Badge$1=class extends FoundationElement{constructor(){super(...arguments),this.generateBadgeStyle=()=>{if(!this.fill&&!this.color)return;const C=`background-color: var(--badge-fill-${this.fill});`,R=`color: var(--badge-color-${this.color});`;return this.fill&&!this.color?C:this.color&&!this.fill?R:`${R} ${C}`}}};__decorate([attr({attribute:"fill"})],Badge$1.prototype,"fill",void 0),__decorate([attr({attribute:"color"})],Badge$1.prototype,"color",void 0),__decorate([attr({mode:"boolean"})],Badge$1.prototype,"circular",void 0);const buttonTemplate=(S,C)=>html$4`
-    <button
-        class="control"
-        part="control"
-        ?autofocus="${R=>R.autofocus}"
-        ?disabled="${R=>R.disabled}"
-        form="${R=>R.formId}"
-        formaction="${R=>R.formaction}"
-        formenctype="${R=>R.formenctype}"
-        formmethod="${R=>R.formmethod}"
-        formnovalidate="${R=>R.formnovalidate}"
-        formtarget="${R=>R.formtarget}"
-        name="${R=>R.name}"
-        type="${R=>R.type}"
-        value="${R=>R.value}"
-        aria-atomic="${R=>R.ariaAtomic}"
-        aria-busy="${R=>R.ariaBusy}"
-        aria-controls="${R=>R.ariaControls}"
-        aria-current="${R=>R.ariaCurrent}"
-        aria-describedby="${R=>R.ariaDescribedby}"
-        aria-details="${R=>R.ariaDetails}"
-        aria-disabled="${R=>R.ariaDisabled}"
-        aria-errormessage="${R=>R.ariaErrormessage}"
-        aria-expanded="${R=>R.ariaExpanded}"
-        aria-flowto="${R=>R.ariaFlowto}"
-        aria-haspopup="${R=>R.ariaHaspopup}"
-        aria-hidden="${R=>R.ariaHidden}"
-        aria-invalid="${R=>R.ariaInvalid}"
-        aria-keyshortcuts="${R=>R.ariaKeyshortcuts}"
-        aria-label="${R=>R.ariaLabel}"
-        aria-labelledby="${R=>R.ariaLabelledby}"
-        aria-live="${R=>R.ariaLive}"
-        aria-owns="${R=>R.ariaOwns}"
-        aria-pressed="${R=>R.ariaPressed}"
-        aria-relevant="${R=>R.ariaRelevant}"
-        aria-roledescription="${R=>R.ariaRoledescription}"
-        ${ref("control")}
-    >
-        ${startSlotTemplate(S,C)}
-        <span class="content" part="content">
-            <slot ${slotted("defaultSlottedContent")}></slot>
-        </span>
-        ${endSlotTemplate(S,C)}
-    </button>
-`,proxySlotName="form-associated-proxy",ElementInternalsKey="ElementInternals",supportsElementInternals=ElementInternalsKey in window&&"setFormValue"in window[ElementInternalsKey].prototype,InternalsMap=new WeakMap;function FormAssociated(S){const C=class extends S{constructor(...R){super(...R),this.dirtyValue=!1,this.disabled=!1,this.proxyEventsToBlock=["change","click"],this.proxyInitialized=!1,this.required=!1,this.initialValue=this.initialValue||"",this.elementInternals||(this.formResetCallback=this.formResetCallback.bind(this))}static get formAssociated(){return supportsElementInternals}get validity(){return this.elementInternals?this.elementInternals.validity:this.proxy.validity}get form(){return this.elementInternals?this.elementInternals.form:this.proxy.form}get validationMessage(){return this.elementInternals?this.elementInternals.validationMessage:this.proxy.validationMessage}get willValidate(){return this.elementInternals?this.elementInternals.willValidate:this.proxy.willValidate}get labels(){if(this.elementInternals)return Object.freeze(Array.from(this.elementInternals.labels));if(this.proxy instanceof HTMLElement&&this.proxy.ownerDocument&&this.id){const R=this.proxy.labels,O=Array.from(this.proxy.getRootNode().querySelectorAll(`[for='${this.id}']`)),I=R?O.concat(Array.from(R)):O;return Object.freeze(I)}else return emptyArray}valueChanged(R,O){this.dirtyValue=!0,this.proxy instanceof HTMLElement&&(this.proxy.value=this.value),this.currentValue=this.value,this.setFormValue(this.value),this.validate()}currentValueChanged(){this.value=this.currentValue}initialValueChanged(R,O){this.dirtyValue||(this.value=this.initialValue,this.dirtyValue=!1)}disabledChanged(R,O){this.proxy instanceof HTMLElement&&(this.proxy.disabled=this.disabled),DOM.queueUpdate(()=>this.classList.toggle("disabled",this.disabled))}nameChanged(R,O){this.proxy instanceof HTMLElement&&(this.proxy.name=this.name)}requiredChanged(R,O){this.proxy instanceof HTMLElement&&(this.proxy.required=this.required),DOM.queueUpdate(()=>this.classList.toggle("required",this.required)),this.validate()}get elementInternals(){if(!supportsElementInternals)return null;let R=InternalsMap.get(this);return R||(R=this.attachInternals(),InternalsMap.set(this,R)),R}connectedCallback(){super.connectedCallback(),this.addEventListener("keypress",this._keypressHandler),this.value||(this.value=this.initialValue,this.dirtyValue=!1),this.elementInternals||(this.attachProxy(),this.form&&this.form.addEventListener("reset",this.formResetCallback))}disconnectedCallback(){super.disconnectedCallback(),this.proxyEventsToBlock.forEach(R=>this.proxy.removeEventListener(R,this.stopPropagation)),!this.elementInternals&&this.form&&this.form.removeEventListener("reset",this.formResetCallback)}checkValidity(){return this.elementInternals?this.elementInternals.checkValidity():this.proxy.checkValidity()}reportValidity(){return this.elementInternals?this.elementInternals.reportValidity():this.proxy.reportValidity()}setValidity(R,O,I){this.elementInternals?this.elementInternals.setValidity(R,O,I):typeof O=="string"&&this.proxy.setCustomValidity(O)}formDisabledCallback(R){this.disabled=R}formResetCallback(){this.value=this.initialValue,this.dirtyValue=!1}attachProxy(){var R;this.proxyInitialized||(this.proxyInitialized=!0,this.proxy.style.display="none",this.proxyEventsToBlock.forEach(O=>this.proxy.addEventListener(O,this.stopPropagation)),this.proxy.disabled=this.disabled,this.proxy.required=this.required,typeof this.name=="string"&&(this.proxy.name=this.name),typeof this.value=="string"&&(this.proxy.value=this.value),this.proxy.setAttribute("slot",proxySlotName),this.proxySlot=document.createElement("slot"),this.proxySlot.setAttribute("name",proxySlotName)),(R=this.shadowRoot)===null||R===void 0||R.appendChild(this.proxySlot),this.appendChild(this.proxy)}detachProxy(){var R;this.removeChild(this.proxy),(R=this.shadowRoot)===null||R===void 0||R.removeChild(this.proxySlot)}validate(R){this.proxy instanceof HTMLElement&&this.setValidity(this.proxy.validity,this.proxy.validationMessage,R)}setFormValue(R,O){this.elementInternals&&this.elementInternals.setFormValue(R,O||R)}_keypressHandler(R){switch(R.key){case keyEnter:if(this.form instanceof HTMLFormElement){const O=this.form.querySelector("[type=submit]");O==null||O.click()}break}}stopPropagation(R){R.stopPropagation()}};return attr({mode:"boolean"})(C.prototype,"disabled"),attr({mode:"fromView",attribute:"value"})(C.prototype,"initialValue"),attr({attribute:"current-value"})(C.prototype,"currentValue"),attr(C.prototype,"name"),attr({mode:"boolean"})(C.prototype,"required"),observable(C.prototype,"value"),C}function CheckableFormAssociated(S){class C extends FormAssociated(S){}class R extends C{constructor(...I){super(I),this.dirtyChecked=!1,this.checkedAttribute=!1,this.checked=!1,this.dirtyChecked=!1}checkedAttributeChanged(){this.defaultChecked=this.checkedAttribute}defaultCheckedChanged(){this.dirtyChecked||(this.checked=this.defaultChecked,this.dirtyChecked=!1)}checkedChanged(I,N){this.dirtyChecked||(this.dirtyChecked=!0),this.currentChecked=this.checked,this.updateForm(),this.proxy instanceof HTMLInputElement&&(this.proxy.checked=this.checked),I!==void 0&&this.$emit("change"),this.validate()}currentCheckedChanged(I,N){this.checked=this.currentChecked}updateForm(){const I=this.checked?this.value:null;this.setFormValue(I,I)}connectedCallback(){super.connectedCallback(),this.updateForm()}formResetCallback(){super.formResetCallback(),this.checked=!!this.checkedAttribute,this.dirtyChecked=!1}}return attr({attribute:"checked",mode:"boolean"})(R.prototype,"checkedAttribute"),attr({attribute:"current-checked",converter:booleanConverter})(R.prototype,"currentChecked"),observable(R.prototype,"defaultChecked"),observable(R.prototype,"checked"),R}class _Button extends FoundationElement{}class FormAssociatedButton extends FormAssociated(_Button){constructor(){super(...arguments),this.proxy=document.createElement("input")}}let Button$1=class extends FormAssociatedButton{constructor(){super(...arguments),this.handleClick=C=>{var R;this.disabled&&((R=this.defaultSlottedContent)===null||R===void 0?void 0:R.length)<=1&&C.stopPropagation()},this.handleSubmission=()=>{if(!this.form)return;const C=this.proxy.isConnected;C||this.attachProxy(),typeof this.form.requestSubmit=="function"?this.form.requestSubmit(this.proxy):this.proxy.click(),C||this.detachProxy()},this.handleFormReset=()=>{var C;(C=this.form)===null||C===void 0||C.reset()},this.handleUnsupportedDelegatesFocus=()=>{var C;window.ShadowRoot&&!window.ShadowRoot.prototype.hasOwnProperty("delegatesFocus")&&(!((C=this.$fastController.definition.shadowOptions)===null||C===void 0)&&C.delegatesFocus)&&(this.focus=()=>{this.control.focus()})}}formactionChanged(){this.proxy instanceof HTMLInputElement&&(this.proxy.formAction=this.formaction)}formenctypeChanged(){this.proxy instanceof HTMLInputElement&&(this.proxy.formEnctype=this.formenctype)}formmethodChanged(){this.proxy instanceof HTMLInputElement&&(this.proxy.formMethod=this.formmethod)}formnovalidateChanged(){this.proxy instanceof HTMLInputElement&&(this.proxy.formNoValidate=this.formnovalidate)}formtargetChanged(){this.proxy instanceof HTMLInputElement&&(this.proxy.formTarget=this.formtarget)}typeChanged(C,R){this.proxy instanceof HTMLInputElement&&(this.proxy.type=this.type),R==="submit"&&this.addEventListener("click",this.handleSubmission),C==="submit"&&this.removeEventListener("click",this.handleSubmission),R==="reset"&&this.addEventListener("click",this.handleFormReset),C==="reset"&&this.removeEventListener("click",this.handleFormReset)}validate(){super.validate(this.control)}connectedCallback(){var C;super.connectedCallback(),this.proxy.setAttribute("type",this.type),this.handleUnsupportedDelegatesFocus();const R=Array.from((C=this.control)===null||C===void 0?void 0:C.children);R&&R.forEach(O=>{O.addEventListener("click",this.handleClick)})}disconnectedCallback(){var C;super.disconnectedCallback();const R=Array.from((C=this.control)===null||C===void 0?void 0:C.children);R&&R.forEach(O=>{O.removeEventListener("click",this.handleClick)})}};__decorate([attr({mode:"boolean"})],Button$1.prototype,"autofocus",void 0),__decorate([attr({attribute:"form"})],Button$1.prototype,"formId",void 0),__decorate([attr],Button$1.prototype,"formaction",void 0),__decorate([attr],Button$1.prototype,"formenctype",void 0),__decorate([attr],Button$1.prototype,"formmethod",void 0),__decorate([attr({mode:"boolean"})],Button$1.prototype,"formnovalidate",void 0),__decorate([attr],Button$1.prototype,"formtarget",void 0),__decorate([attr],Button$1.prototype,"type",void 0),__decorate([observable],Button$1.prototype,"defaultSlottedContent",void 0);class DelegatesARIAButton{}__decorate([attr({attribute:"aria-expanded"})],DelegatesARIAButton.prototype,"ariaExpanded",void 0),__decorate([attr({attribute:"aria-pressed"})],DelegatesARIAButton.prototype,"ariaPressed",void 0),applyMixins(DelegatesARIAButton,ARIAGlobalStatesAndProperties),applyMixins(Button$1,StartEnd,DelegatesARIAButton);const GenerateHeaderOptions={none:"none",default:"default",sticky:"sticky"},DataGridCellTypes={default:"default",columnHeader:"columnheader",rowHeader:"rowheader"},DataGridRowTypes={default:"default",header:"header",stickyHeader:"sticky-header"};let DataGridRow$1=class extends FoundationElement{constructor(){super(...arguments),this.rowType=DataGridRowTypes.default,this.rowData=null,this.columnDefinitions=null,this.isActiveRow=!1,this.cellsRepeatBehavior=null,this.cellsPlaceholder=null,this.focusColumnIndex=0,this.refocusOnLoad=!1,this.updateRowStyle=()=>{this.style.gridTemplateColumns=this.gridTemplateColumns}}gridTemplateColumnsChanged(){this.$fastController.isConnected&&this.updateRowStyle()}rowTypeChanged(){this.$fastController.isConnected&&this.updateItemTemplate()}rowDataChanged(){if(this.rowData!==null&&this.isActiveRow){this.refocusOnLoad=!0;return}}cellItemTemplateChanged(){this.updateItemTemplate()}headerCellItemTemplateChanged(){this.updateItemTemplate()}connectedCallback(){super.connectedCallback(),this.cellsRepeatBehavior===null&&(this.cellsPlaceholder=document.createComment(""),this.appendChild(this.cellsPlaceholder),this.updateItemTemplate(),this.cellsRepeatBehavior=new RepeatDirective(C=>C.columnDefinitions,C=>C.activeCellItemTemplate,{positioning:!0}).createBehavior(this.cellsPlaceholder),this.$fastController.addBehaviors([this.cellsRepeatBehavior])),this.addEventListener("cell-focused",this.handleCellFocus),this.addEventListener(eventFocusOut,this.handleFocusout),this.addEventListener(eventKeyDown,this.handleKeydown),this.updateRowStyle(),this.refocusOnLoad&&(this.refocusOnLoad=!1,this.cellElements.length>this.focusColumnIndex&&this.cellElements[this.focusColumnIndex].focus())}disconnectedCallback(){super.disconnectedCallback(),this.removeEventListener("cell-focused",this.handleCellFocus),this.removeEventListener(eventFocusOut,this.handleFocusout),this.removeEventListener(eventKeyDown,this.handleKeydown)}handleFocusout(C){this.contains(C.target)||(this.isActiveRow=!1,this.focusColumnIndex=0)}handleCellFocus(C){this.isActiveRow=!0,this.focusColumnIndex=this.cellElements.indexOf(C.target),this.$emit("row-focused",this)}handleKeydown(C){if(C.defaultPrevented)return;let R=0;switch(C.key){case keyArrowLeft:R=Math.max(0,this.focusColumnIndex-1),this.cellElements[R].focus(),C.preventDefault();break;case keyArrowRight:R=Math.min(this.cellElements.length-1,this.focusColumnIndex+1),this.cellElements[R].focus(),C.preventDefault();break;case keyHome:C.ctrlKey||(this.cellElements[0].focus(),C.preventDefault());break;case keyEnd:C.ctrlKey||(this.cellElements[this.cellElements.length-1].focus(),C.preventDefault());break}}updateItemTemplate(){this.activeCellItemTemplate=this.rowType===DataGridRowTypes.default&&this.cellItemTemplate!==void 0?this.cellItemTemplate:this.rowType===DataGridRowTypes.default&&this.cellItemTemplate===void 0?this.defaultCellItemTemplate:this.headerCellItemTemplate!==void 0?this.headerCellItemTemplate:this.defaultHeaderCellItemTemplate}};__decorate([attr({attribute:"grid-template-columns"})],DataGridRow$1.prototype,"gridTemplateColumns",void 0),__decorate([attr({attribute:"row-type"})],DataGridRow$1.prototype,"rowType",void 0),__decorate([observable],DataGridRow$1.prototype,"rowData",void 0),__decorate([observable],DataGridRow$1.prototype,"columnDefinitions",void 0),__decorate([observable],DataGridRow$1.prototype,"cellItemTemplate",void 0),__decorate([observable],DataGridRow$1.prototype,"headerCellItemTemplate",void 0),__decorate([observable],DataGridRow$1.prototype,"rowIndex",void 0),__decorate([observable],DataGridRow$1.prototype,"isActiveRow",void 0),__decorate([observable],DataGridRow$1.prototype,"activeCellItemTemplate",void 0),__decorate([observable],DataGridRow$1.prototype,"defaultCellItemTemplate",void 0),__decorate([observable],DataGridRow$1.prototype,"defaultHeaderCellItemTemplate",void 0),__decorate([observable],DataGridRow$1.prototype,"cellElements",void 0);function createRowItemTemplate(S){const C=S.tagFor(DataGridRow$1);return html$4`
-    <${C}
-        :rowData="${R=>R}"
-        :cellItemTemplate="${(R,O)=>O.parent.cellItemTemplate}"
-        :headerCellItemTemplate="${(R,O)=>O.parent.headerCellItemTemplate}"
-    ></${C}>
-`}const dataGridTemplate=(S,C)=>{const R=createRowItemTemplate(S),O=S.tagFor(DataGridRow$1);return html$4`
-        <template
-            role="grid"
-            tabindex="0"
-            :rowElementTag="${()=>O}"
-            :defaultRowItemTemplate="${R}"
-            ${children({property:"rowElements",filter:elements("[role=row]")})}
-        >
-            <slot></slot>
-        </template>
-    `};let DataGrid$1=class ex extends FoundationElement{constructor(){super(),this.noTabbing=!1,this.generateHeader=GenerateHeaderOptions.default,this.rowsData=[],this.columnDefinitions=null,this.focusRowIndex=0,this.focusColumnIndex=0,this.rowsPlaceholder=null,this.generatedHeader=null,this.isUpdatingFocus=!1,this.pendingFocusUpdate=!1,this.rowindexUpdateQueued=!1,this.columnDefinitionsStale=!0,this.generatedGridTemplateColumns="",this.focusOnCell=(C,R,O)=>{if(this.rowElements.length===0){this.focusRowIndex=0,this.focusColumnIndex=0;return}const I=Math.max(0,Math.min(this.rowElements.length-1,C)),L=this.rowElements[I].querySelectorAll('[role="cell"], [role="gridcell"], [role="columnheader"], [role="rowheader"]'),B=Math.max(0,Math.min(L.length-1,R)),j=L[B];O&&this.scrollHeight!==this.clientHeight&&(I<this.focusRowIndex&&this.scrollTop>0||I>this.focusRowIndex&&this.scrollTop<this.scrollHeight-this.clientHeight)&&j.scrollIntoView({block:"center",inline:"center"}),j.focus()},this.onChildListChange=(C,R)=>{C&&C.length&&(C.forEach(O=>{O.addedNodes.forEach(I=>{I.nodeType===1&&I.getAttribute("role")==="row"&&(I.columnDefinitions=this.columnDefinitions)})}),this.queueRowIndexUpdate())},this.queueRowIndexUpdate=()=>{this.rowindexUpdateQueued||(this.rowindexUpdateQueued=!0,DOM.queueUpdate(this.updateRowIndexes))},this.updateRowIndexes=()=>{let C=this.gridTemplateColumns;if(C===void 0){if(this.generatedGridTemplateColumns===""&&this.rowElements.length>0){const R=this.rowElements[0];this.generatedGridTemplateColumns=new Array(R.cellElements.length).fill("1fr").join(" ")}C=this.generatedGridTemplateColumns}this.rowElements.forEach((R,O)=>{const I=R;I.rowIndex=O,I.gridTemplateColumns=C,this.columnDefinitionsStale&&(I.columnDefinitions=this.columnDefinitions)}),this.rowindexUpdateQueued=!1,this.columnDefinitionsStale=!1}}static generateTemplateColumns(C){let R="";return C.forEach(O=>{R=`${R}${R===""?"":" "}1fr`}),R}noTabbingChanged(){this.$fastController.isConnected&&(this.noTabbing?this.setAttribute("tabIndex","-1"):this.setAttribute("tabIndex",this.contains(document.activeElement)||this===document.activeElement?"-1":"0"))}generateHeaderChanged(){this.$fastController.isConnected&&this.toggleGeneratedHeader()}gridTemplateColumnsChanged(){this.$fastController.isConnected&&this.updateRowIndexes()}rowsDataChanged(){this.columnDefinitions===null&&this.rowsData.length>0&&(this.columnDefinitions=ex.generateColumns(this.rowsData[0])),this.$fastController.isConnected&&this.toggleGeneratedHeader()}columnDefinitionsChanged(){if(this.columnDefinitions===null){this.generatedGridTemplateColumns="";return}this.generatedGridTemplateColumns=ex.generateTemplateColumns(this.columnDefinitions),this.$fastController.isConnected&&(this.columnDefinitionsStale=!0,this.queueRowIndexUpdate())}headerCellItemTemplateChanged(){this.$fastController.isConnected&&this.generatedHeader!==null&&(this.generatedHeader.headerCellItemTemplate=this.headerCellItemTemplate)}focusRowIndexChanged(){this.$fastController.isConnected&&this.queueFocusUpdate()}focusColumnIndexChanged(){this.$fastController.isConnected&&this.queueFocusUpdate()}connectedCallback(){super.connectedCallback(),this.rowItemTemplate===void 0&&(this.rowItemTemplate=this.defaultRowItemTemplate),this.rowsPlaceholder=document.createComment(""),this.appendChild(this.rowsPlaceholder),this.toggleGeneratedHeader(),this.rowsRepeatBehavior=new RepeatDirective(C=>C.rowsData,C=>C.rowItemTemplate,{positioning:!0}).createBehavior(this.rowsPlaceholder),this.$fastController.addBehaviors([this.rowsRepeatBehavior]),this.addEventListener("row-focused",this.handleRowFocus),this.addEventListener(eventFocus,this.handleFocus),this.addEventListener(eventKeyDown,this.handleKeydown),this.addEventListener(eventFocusOut,this.handleFocusOut),this.observer=new MutationObserver(this.onChildListChange),this.observer.observe(this,{childList:!0}),this.noTabbing&&this.setAttribute("tabindex","-1"),DOM.queueUpdate(this.queueRowIndexUpdate)}disconnectedCallback(){super.disconnectedCallback(),this.removeEventListener("row-focused",this.handleRowFocus),this.removeEventListener(eventFocus,this.handleFocus),this.removeEventListener(eventKeyDown,this.handleKeydown),this.removeEventListener(eventFocusOut,this.handleFocusOut),this.observer.disconnect(),this.rowsPlaceholder=null,this.generatedHeader=null}handleRowFocus(C){this.isUpdatingFocus=!0;const R=C.target;this.focusRowIndex=this.rowElements.indexOf(R),this.focusColumnIndex=R.focusColumnIndex,this.setAttribute("tabIndex","-1"),this.isUpdatingFocus=!1}handleFocus(C){this.focusOnCell(this.focusRowIndex,this.focusColumnIndex,!0)}handleFocusOut(C){(C.relatedTarget===null||!this.contains(C.relatedTarget))&&this.setAttribute("tabIndex",this.noTabbing?"-1":"0")}handleKeydown(C){if(C.defaultPrevented)return;let R;const O=this.rowElements.length-1,I=this.offsetHeight+this.scrollTop,N=this.rowElements[O];switch(C.key){case keyArrowUp:C.preventDefault(),this.focusOnCell(this.focusRowIndex-1,this.focusColumnIndex,!0);break;case keyArrowDown:C.preventDefault(),this.focusOnCell(this.focusRowIndex+1,this.focusColumnIndex,!0);break;case keyPageUp:if(C.preventDefault(),this.rowElements.length===0){this.focusOnCell(0,0,!1);break}if(this.focusRowIndex===0){this.focusOnCell(0,this.focusColumnIndex,!1);return}for(R=this.focusRowIndex-1,R;R>=0;R--){const L=this.rowElements[R];if(L.offsetTop<this.scrollTop){this.scrollTop=L.offsetTop+L.clientHeight-this.clientHeight;break}}this.focusOnCell(R,this.focusColumnIndex,!1);break;case keyPageDown:if(C.preventDefault(),this.rowElements.length===0){this.focusOnCell(0,0,!1);break}if(this.focusRowIndex>=O||N.offsetTop+N.offsetHeight<=I){this.focusOnCell(O,this.focusColumnIndex,!1);return}for(R=this.focusRowIndex+1,R;R<=O;R++){const L=this.rowElements[R];if(L.offsetTop+L.offsetHeight>I){let B=0;this.generateHeader===GenerateHeaderOptions.sticky&&this.generatedHeader!==null&&(B=this.generatedHeader.clientHeight),this.scrollTop=L.offsetTop-B;break}}this.focusOnCell(R,this.focusColumnIndex,!1);break;case keyHome:C.ctrlKey&&(C.preventDefault(),this.focusOnCell(0,0,!0));break;case keyEnd:C.ctrlKey&&this.columnDefinitions!==null&&(C.preventDefault(),this.focusOnCell(this.rowElements.length-1,this.columnDefinitions.length-1,!0));break}}queueFocusUpdate(){this.isUpdatingFocus&&(this.contains(document.activeElement)||this===document.activeElement)||this.pendingFocusUpdate===!1&&(this.pendingFocusUpdate=!0,DOM.queueUpdate(()=>this.updateFocus()))}updateFocus(){this.pendingFocusUpdate=!1,this.focusOnCell(this.focusRowIndex,this.focusColumnIndex,!0)}toggleGeneratedHeader(){if(this.generatedHeader!==null&&(this.removeChild(this.generatedHeader),this.generatedHeader=null),this.generateHeader!==GenerateHeaderOptions.none&&this.rowsData.length>0){const C=document.createElement(this.rowElementTag);this.generatedHeader=C,this.generatedHeader.columnDefinitions=this.columnDefinitions,this.generatedHeader.gridTemplateColumns=this.gridTemplateColumns,this.generatedHeader.rowType=this.generateHeader===GenerateHeaderOptions.sticky?DataGridRowTypes.stickyHeader:DataGridRowTypes.header,(this.firstChild!==null||this.rowsPlaceholder!==null)&&this.insertBefore(C,this.firstChild!==null?this.firstChild:this.rowsPlaceholder);return}}};DataGrid$1.generateColumns=S=>Object.getOwnPropertyNames(S).map((C,R)=>({columnDataKey:C,gridColumn:`${R}`})),__decorate([attr({attribute:"no-tabbing",mode:"boolean"})],DataGrid$1.prototype,"noTabbing",void 0),__decorate([attr({attribute:"generate-header"})],DataGrid$1.prototype,"generateHeader",void 0),__decorate([attr({attribute:"grid-template-columns"})],DataGrid$1.prototype,"gridTemplateColumns",void 0),__decorate([observable],DataGrid$1.prototype,"rowsData",void 0),__decorate([observable],DataGrid$1.prototype,"columnDefinitions",void 0),__decorate([observable],DataGrid$1.prototype,"rowItemTemplate",void 0),__decorate([observable],DataGrid$1.prototype,"cellItemTemplate",void 0),__decorate([observable],DataGrid$1.prototype,"headerCellItemTemplate",void 0),__decorate([observable],DataGrid$1.prototype,"focusRowIndex",void 0),__decorate([observable],DataGrid$1.prototype,"focusColumnIndex",void 0),__decorate([observable],DataGrid$1.prototype,"defaultRowItemTemplate",void 0),__decorate([observable],DataGrid$1.prototype,"rowElementTag",void 0),__decorate([observable],DataGrid$1.prototype,"rowElements",void 0);const defaultCellContentsTemplate=html$4`
-    <template>
-        ${S=>S.rowData===null||S.columnDefinition===null||S.columnDefinition.columnDataKey===null?null:S.rowData[S.columnDefinition.columnDataKey]}
-    </template>
-`,defaultHeaderCellContentsTemplate=html$4`
-    <template>
-        ${S=>S.columnDefinition===null?null:S.columnDefinition.title===void 0?S.columnDefinition.columnDataKey:S.columnDefinition.title}
-    </template>
-`;let DataGridCell$1=class extends FoundationElement{constructor(){super(...arguments),this.cellType=DataGridCellTypes.default,this.rowData=null,this.columnDefinition=null,this.isActiveCell=!1,this.customCellView=null,this.updateCellStyle=()=>{this.style.gridColumn=this.gridColumn}}cellTypeChanged(){this.$fastController.isConnected&&this.updateCellView()}gridColumnChanged(){this.$fastController.isConnected&&this.updateCellStyle()}columnDefinitionChanged(C,R){this.$fastController.isConnected&&this.updateCellView()}connectedCallback(){var C;super.connectedCallback(),this.addEventListener(eventFocusIn,this.handleFocusin),this.addEventListener(eventFocusOut,this.handleFocusout),this.addEventListener(eventKeyDown,this.handleKeydown),this.style.gridColumn=`${((C=this.columnDefinition)===null||C===void 0?void 0:C.gridColumn)===void 0?0:this.columnDefinition.gridColumn}`,this.updateCellView(),this.updateCellStyle()}disconnectedCallback(){super.disconnectedCallback(),this.removeEventListener(eventFocusIn,this.handleFocusin),this.removeEventListener(eventFocusOut,this.handleFocusout),this.removeEventListener(eventKeyDown,this.handleKeydown),this.disconnectCellView()}handleFocusin(C){if(!this.isActiveCell){switch(this.isActiveCell=!0,this.cellType){case DataGridCellTypes.columnHeader:if(this.columnDefinition!==null&&this.columnDefinition.headerCellInternalFocusQueue!==!0&&typeof this.columnDefinition.headerCellFocusTargetCallback=="function"){const R=this.columnDefinition.headerCellFocusTargetCallback(this);R!==null&&R.focus()}break;default:if(this.columnDefinition!==null&&this.columnDefinition.cellInternalFocusQueue!==!0&&typeof this.columnDefinition.cellFocusTargetCallback=="function"){const R=this.columnDefinition.cellFocusTargetCallback(this);R!==null&&R.focus()}break}this.$emit("cell-focused",this)}}handleFocusout(C){this!==document.activeElement&&!this.contains(document.activeElement)&&(this.isActiveCell=!1)}handleKeydown(C){if(!(C.defaultPrevented||this.columnDefinition===null||this.cellType===DataGridCellTypes.default&&this.columnDefinition.cellInternalFocusQueue!==!0||this.cellType===DataGridCellTypes.columnHeader&&this.columnDefinition.headerCellInternalFocusQueue!==!0))switch(C.key){case keyEnter:case keyFunction2:if(this.contains(document.activeElement)&&document.activeElement!==this)return;switch(this.cellType){case DataGridCellTypes.columnHeader:if(this.columnDefinition.headerCellFocusTargetCallback!==void 0){const R=this.columnDefinition.headerCellFocusTargetCallback(this);R!==null&&R.focus(),C.preventDefault()}break;default:if(this.columnDefinition.cellFocusTargetCallback!==void 0){const R=this.columnDefinition.cellFocusTargetCallback(this);R!==null&&R.focus(),C.preventDefault()}break}break;case keyEscape:this.contains(document.activeElement)&&document.activeElement!==this&&(this.focus(),C.preventDefault());break}}updateCellView(){if(this.disconnectCellView(),this.columnDefinition!==null)switch(this.cellType){case DataGridCellTypes.columnHeader:this.columnDefinition.headerCellTemplate!==void 0?this.customCellView=this.columnDefinition.headerCellTemplate.render(this,this):this.customCellView=defaultHeaderCellContentsTemplate.render(this,this);break;case void 0:case DataGridCellTypes.rowHeader:case DataGridCellTypes.default:this.columnDefinition.cellTemplate!==void 0?this.customCellView=this.columnDefinition.cellTemplate.render(this,this):this.customCellView=defaultCellContentsTemplate.render(this,this);break}}disconnectCellView(){this.customCellView!==null&&(this.customCellView.dispose(),this.customCellView=null)}};__decorate([attr({attribute:"cell-type"})],DataGridCell$1.prototype,"cellType",void 0),__decorate([attr({attribute:"grid-column"})],DataGridCell$1.prototype,"gridColumn",void 0),__decorate([observable],DataGridCell$1.prototype,"rowData",void 0),__decorate([observable],DataGridCell$1.prototype,"columnDefinition",void 0);function createCellItemTemplate(S){const C=S.tagFor(DataGridCell$1);return html$4`
-    <${C}
-        cell-type="${R=>R.isRowHeader?"rowheader":void 0}"
-        grid-column="${(R,O)=>O.index+1}"
-        :rowData="${(R,O)=>O.parent.rowData}"
-        :columnDefinition="${R=>R}"
-    ></${C}>
-`}function createHeaderCellItemTemplate(S){const C=S.tagFor(DataGridCell$1);return html$4`
-    <${C}
-        cell-type="columnheader"
-        grid-column="${(R,O)=>O.index+1}"
-        :columnDefinition="${R=>R}"
-    ></${C}>
-`}const dataGridRowTemplate=(S,C)=>{const R=createCellItemTemplate(S),O=createHeaderCellItemTemplate(S);return html$4`
-        <template
-            role="row"
-            class="${I=>I.rowType!=="default"?I.rowType:""}"
-            :defaultCellItemTemplate="${R}"
-            :defaultHeaderCellItemTemplate="${O}"
-            ${children({property:"cellElements",filter:elements('[role="cell"],[role="gridcell"],[role="columnheader"],[role="rowheader"]')})}
-        >
-            <slot ${slotted("slottedCellElements")}></slot>
-        </template>
-    `},dataGridCellTemplate=(S,C)=>html$4`
-        <template
-            tabindex="-1"
-            role="${R=>!R.cellType||R.cellType==="default"?"gridcell":R.cellType}"
-            class="
-            ${R=>R.cellType==="columnheader"?"column-header":R.cellType==="rowheader"?"row-header":""}
-            "
-        >
-            <slot></slot>
-        </template>
-    `,checkboxTemplate=(S,C)=>html$4`
-    <template
-        role="checkbox"
-        aria-checked="${R=>R.checked}"
-        aria-required="${R=>R.required}"
-        aria-disabled="${R=>R.disabled}"
-        aria-readonly="${R=>R.readOnly}"
-        tabindex="${R=>R.disabled?null:0}"
-        @keypress="${(R,O)=>R.keypressHandler(O.event)}"
-        @click="${(R,O)=>R.clickHandler(O.event)}"
-        class="${R=>R.readOnly?"readonly":""} ${R=>R.checked?"checked":""} ${R=>R.indeterminate?"indeterminate":""}"
-    >
-        <div part="control" class="control">
-            <slot name="checked-indicator">
-                ${C.checkedIndicator||""}
-            </slot>
-            <slot name="indeterminate-indicator">
-                ${C.indeterminateIndicator||""}
-            </slot>
-        </div>
-        <label
-            part="label"
-            class="${R=>R.defaultSlottedNodes&&R.defaultSlottedNodes.length?"label":"label label__hidden"}"
-        >
-            <slot ${slotted("defaultSlottedNodes")}></slot>
-        </label>
-    </template>
-`;class _Checkbox extends FoundationElement{}class FormAssociatedCheckbox extends CheckableFormAssociated(_Checkbox){constructor(){super(...arguments),this.proxy=document.createElement("input")}}let Checkbox$1=class extends FormAssociatedCheckbox{constructor(){super(),this.initialValue="on",this.indeterminate=!1,this.keypressHandler=C=>{if(!this.readOnly)switch(C.key){case keySpace:this.indeterminate&&(this.indeterminate=!1),this.checked=!this.checked;break}},this.clickHandler=C=>{!this.disabled&&!this.readOnly&&(this.indeterminate&&(this.indeterminate=!1),this.checked=!this.checked)},this.proxy.setAttribute("type","checkbox")}readOnlyChanged(){this.proxy instanceof HTMLInputElement&&(this.proxy.readOnly=this.readOnly)}};__decorate([attr({attribute:"readonly",mode:"boolean"})],Checkbox$1.prototype,"readOnly",void 0),__decorate([observable],Checkbox$1.prototype,"defaultSlottedNodes",void 0),__decorate([observable],Checkbox$1.prototype,"indeterminate",void 0);function isListboxOption(S){return isHTMLElement$1(S)&&(S.getAttribute("role")==="option"||S instanceof HTMLOptionElement)}class ListboxOption extends FoundationElement{constructor(C,R,O,I){super(),this.defaultSelected=!1,this.dirtySelected=!1,this.selected=this.defaultSelected,this.dirtyValue=!1,C&&(this.textContent=C),R&&(this.initialValue=R),O&&(this.defaultSelected=O),I&&(this.selected=I),this.proxy=new Option(`${this.textContent}`,this.initialValue,this.defaultSelected,this.selected),this.proxy.disabled=this.disabled}checkedChanged(C,R){if(typeof R=="boolean"){this.ariaChecked=R?"true":"false";return}this.ariaChecked=null}contentChanged(C,R){this.proxy instanceof HTMLOptionElement&&(this.proxy.textContent=this.textContent),this.$emit("contentchange",null,{bubbles:!0})}defaultSelectedChanged(){this.dirtySelected||(this.selected=this.defaultSelected,this.proxy instanceof HTMLOptionElement&&(this.proxy.selected=this.defaultSelected))}disabledChanged(C,R){this.ariaDisabled=this.disabled?"true":"false",this.proxy instanceof HTMLOptionElement&&(this.proxy.disabled=this.disabled)}selectedAttributeChanged(){this.defaultSelected=this.selectedAttribute,this.proxy instanceof HTMLOptionElement&&(this.proxy.defaultSelected=this.defaultSelected)}selectedChanged(){this.ariaSelected=this.selected?"true":"false",this.dirtySelected||(this.dirtySelected=!0),this.proxy instanceof HTMLOptionElement&&(this.proxy.selected=this.selected)}initialValueChanged(C,R){this.dirtyValue||(this.value=this.initialValue,this.dirtyValue=!1)}get label(){var C;return(C=this.value)!==null&&C!==void 0?C:this.text}get text(){var C,R;return(R=(C=this.textContent)===null||C===void 0?void 0:C.replace(/\s+/g," ").trim())!==null&&R!==void 0?R:""}set value(C){const R=`${C??""}`;this._value=R,this.dirtyValue=!0,this.proxy instanceof HTMLOptionElement&&(this.proxy.value=R),Observable$1.notify(this,"value")}get value(){var C;return Observable$1.track(this,"value"),(C=this._value)!==null&&C!==void 0?C:this.text}get form(){return this.proxy?this.proxy.form:null}}__decorate([observable],ListboxOption.prototype,"checked",void 0),__decorate([observable],ListboxOption.prototype,"content",void 0),__decorate([observable],ListboxOption.prototype,"defaultSelected",void 0),__decorate([attr({mode:"boolean"})],ListboxOption.prototype,"disabled",void 0),__decorate([attr({attribute:"selected",mode:"boolean"})],ListboxOption.prototype,"selectedAttribute",void 0),__decorate([observable],ListboxOption.prototype,"selected",void 0),__decorate([attr({attribute:"value",mode:"fromView"})],ListboxOption.prototype,"initialValue",void 0);class DelegatesARIAListboxOption{}__decorate([observable],DelegatesARIAListboxOption.prototype,"ariaChecked",void 0),__decorate([observable],DelegatesARIAListboxOption.prototype,"ariaPosInSet",void 0),__decorate([observable],DelegatesARIAListboxOption.prototype,"ariaSelected",void 0),__decorate([observable],DelegatesARIAListboxOption.prototype,"ariaSetSize",void 0),applyMixins(DelegatesARIAListboxOption,ARIAGlobalStatesAndProperties),applyMixins(ListboxOption,StartEnd,DelegatesARIAListboxOption);class Listbox extends FoundationElement{constructor(){super(...arguments),this._options=[],this.selectedIndex=-1,this.selectedOptions=[],this.shouldSkipFocus=!1,this.typeaheadBuffer="",this.typeaheadExpired=!0,this.typeaheadTimeout=-1}get firstSelectedOption(){var C;return(C=this.selectedOptions[0])!==null&&C!==void 0?C:null}get hasSelectableOptions(){return this.options.length>0&&!this.options.every(C=>C.disabled)}get length(){var C,R;return(R=(C=this.options)===null||C===void 0?void 0:C.length)!==null&&R!==void 0?R:0}get options(){return Observable$1.track(this,"options"),this._options}set options(C){this._options=C,Observable$1.notify(this,"options")}get typeAheadExpired(){return this.typeaheadExpired}set typeAheadExpired(C){this.typeaheadExpired=C}clickHandler(C){const R=C.target.closest("option,[role=option]");if(R&&!R.disabled)return this.selectedIndex=this.options.indexOf(R),!0}focusAndScrollOptionIntoView(C=this.firstSelectedOption){this.contains(document.activeElement)&&C!==null&&(C.focus(),requestAnimationFrame(()=>{C.scrollIntoView({block:"nearest"})}))}focusinHandler(C){!this.shouldSkipFocus&&C.target===C.currentTarget&&(this.setSelectedOptions(),this.focusAndScrollOptionIntoView()),this.shouldSkipFocus=!1}getTypeaheadMatches(){const C=this.typeaheadBuffer.replace(/[.*+\-?^${}()|[\]\\]/g,"\\$&"),R=new RegExp(`^${C}`,"gi");return this.options.filter(O=>O.text.trim().match(R))}getSelectableIndex(C=this.selectedIndex,R){const O=C>R?-1:C<R?1:0,I=C+O;let N=null;switch(O){case-1:{N=this.options.reduceRight((L,B,j)=>!L&&!B.disabled&&j<I?B:L,N);break}case 1:{N=this.options.reduce((L,B,j)=>!L&&!B.disabled&&j>I?B:L,N);break}}return this.options.indexOf(N)}handleChange(C,R){switch(R){case"selected":{Listbox.slottedOptionFilter(C)&&(this.selectedIndex=this.options.indexOf(C)),this.setSelectedOptions();break}}}handleTypeAhead(C){this.typeaheadTimeout&&window.clearTimeout(this.typeaheadTimeout),this.typeaheadTimeout=window.setTimeout(()=>this.typeaheadExpired=!0,Listbox.TYPE_AHEAD_TIMEOUT_MS),!(C.length>1)&&(this.typeaheadBuffer=`${this.typeaheadExpired?"":this.typeaheadBuffer}${C}`)}keydownHandler(C){if(this.disabled)return!0;this.shouldSkipFocus=!1;const R=C.key;switch(R){case keyHome:{C.shiftKey||(C.preventDefault(),this.selectFirstOption());break}case keyArrowDown:{C.shiftKey||(C.preventDefault(),this.selectNextOption());break}case keyArrowUp:{C.shiftKey||(C.preventDefault(),this.selectPreviousOption());break}case keyEnd:{C.preventDefault(),this.selectLastOption();break}case keyTab:return this.focusAndScrollOptionIntoView(),!0;case keyEnter:case keyEscape:return!0;case keySpace:if(this.typeaheadExpired)return!0;default:return R.length===1&&this.handleTypeAhead(`${R}`),!0}}mousedownHandler(C){return this.shouldSkipFocus=!this.contains(document.activeElement),!0}multipleChanged(C,R){this.ariaMultiSelectable=R?"true":null}selectedIndexChanged(C,R){var O;if(!this.hasSelectableOptions){this.selectedIndex=-1;return}if(!((O=this.options[this.selectedIndex])===null||O===void 0)&&O.disabled&&typeof C=="number"){const I=this.getSelectableIndex(C,R),N=I>-1?I:C;this.selectedIndex=N,R===N&&this.selectedIndexChanged(R,N);return}this.setSelectedOptions()}selectedOptionsChanged(C,R){var O;const I=R.filter(Listbox.slottedOptionFilter);(O=this.options)===null||O===void 0||O.forEach(N=>{const L=Observable$1.getNotifier(N);L.unsubscribe(this,"selected"),N.selected=I.includes(N),L.subscribe(this,"selected")})}selectFirstOption(){var C,R;this.disabled||(this.selectedIndex=(R=(C=this.options)===null||C===void 0?void 0:C.findIndex(O=>!O.disabled))!==null&&R!==void 0?R:-1)}selectLastOption(){this.disabled||(this.selectedIndex=findLastIndex(this.options,C=>!C.disabled))}selectNextOption(){!this.disabled&&this.selectedIndex<this.options.length-1&&(this.selectedIndex+=1)}selectPreviousOption(){!this.disabled&&this.selectedIndex>0&&(this.selectedIndex=this.selectedIndex-1)}setDefaultSelectedOption(){var C,R;this.selectedIndex=(R=(C=this.options)===null||C===void 0?void 0:C.findIndex(O=>O.defaultSelected))!==null&&R!==void 0?R:-1}setSelectedOptions(){var C,R,O;!((C=this.options)===null||C===void 0)&&C.length&&(this.selectedOptions=[this.options[this.selectedIndex]],this.ariaActiveDescendant=(O=(R=this.firstSelectedOption)===null||R===void 0?void 0:R.id)!==null&&O!==void 0?O:"",this.focusAndScrollOptionIntoView())}slottedOptionsChanged(C,R){this.options=R.reduce((I,N)=>(isListboxOption(N)&&I.push(N),I),[]);const O=`${this.options.length}`;this.options.forEach((I,N)=>{I.id||(I.id=uniqueId$1("option-")),I.ariaPosInSet=`${N+1}`,I.ariaSetSize=O}),this.$fastController.isConnected&&(this.setSelectedOptions(),this.setDefaultSelectedOption())}typeaheadBufferChanged(C,R){if(this.$fastController.isConnected){const O=this.getTypeaheadMatches();if(O.length){const I=this.options.indexOf(O[0]);I>-1&&(this.selectedIndex=I)}this.typeaheadExpired=!1}}}Listbox.slottedOptionFilter=S=>isListboxOption(S)&&!S.hidden,Listbox.TYPE_AHEAD_TIMEOUT_MS=1e3,__decorate([attr({mode:"boolean"})],Listbox.prototype,"disabled",void 0),__decorate([observable],Listbox.prototype,"selectedIndex",void 0),__decorate([observable],Listbox.prototype,"selectedOptions",void 0),__decorate([observable],Listbox.prototype,"slottedOptions",void 0),__decorate([observable],Listbox.prototype,"typeaheadBuffer",void 0);class DelegatesARIAListbox{}__decorate([observable],DelegatesARIAListbox.prototype,"ariaActiveDescendant",void 0),__decorate([observable],DelegatesARIAListbox.prototype,"ariaDisabled",void 0),__decorate([observable],DelegatesARIAListbox.prototype,"ariaExpanded",void 0),__decorate([observable],DelegatesARIAListbox.prototype,"ariaMultiSelectable",void 0),applyMixins(DelegatesARIAListbox,ARIAGlobalStatesAndProperties),applyMixins(Listbox,DelegatesARIAListbox);const SelectPosition={above:"above",below:"below"};function composedParent(S){const C=S.parentElement;if(C)return C;{const R=S.getRootNode();if(R.host instanceof HTMLElement)return R.host}return null}function composedContains(S,C){let R=C;for(;R!==null;){if(R===S)return!0;R=composedParent(R)}return!1}const defaultElement=document.createElement("div");function isFastElement(S){return S instanceof FASTElement}class QueuedStyleSheetTarget{setProperty(C,R){DOM.queueUpdate(()=>this.target.setProperty(C,R))}removeProperty(C){DOM.queueUpdate(()=>this.target.removeProperty(C))}}class ConstructableStyleSheetTarget extends QueuedStyleSheetTarget{constructor(C){super();const R=new CSSStyleSheet;this.target=R.cssRules[R.insertRule(":host{}")].style,C.$fastController.addStyles(ElementStyles.create([R]))}}class DocumentStyleSheetTarget extends QueuedStyleSheetTarget{constructor(){super();const C=new CSSStyleSheet;this.target=C.cssRules[C.insertRule(":root{}")].style,document.adoptedStyleSheets=[...document.adoptedStyleSheets,C]}}class HeadStyleElementStyleSheetTarget extends QueuedStyleSheetTarget{constructor(){super(),this.style=document.createElement("style"),document.head.appendChild(this.style);const{sheet:C}=this.style;if(C){const R=C.insertRule(":root{}",C.cssRules.length);this.target=C.cssRules[R].style}}}class StyleElementStyleSheetTarget{constructor(C){this.store=new Map,this.target=null;const R=C.$fastController;this.style=document.createElement("style"),R.addStyles(this.style),Observable$1.getNotifier(R).subscribe(this,"isConnected"),this.handleChange(R,"isConnected")}targetChanged(){if(this.target!==null)for(const[C,R]of this.store.entries())this.target.setProperty(C,R)}setProperty(C,R){this.store.set(C,R),DOM.queueUpdate(()=>{this.target!==null&&this.target.setProperty(C,R)})}removeProperty(C){this.store.delete(C),DOM.queueUpdate(()=>{this.target!==null&&this.target.removeProperty(C)})}handleChange(C,R){const{sheet:O}=this.style;if(O){const I=O.insertRule(":host{}",O.cssRules.length);this.target=O.cssRules[I].style}else this.target=null}}__decorate([observable],StyleElementStyleSheetTarget.prototype,"target",void 0);class ElementStyleSheetTarget{constructor(C){this.target=C.style}setProperty(C,R){DOM.queueUpdate(()=>this.target.setProperty(C,R))}removeProperty(C){DOM.queueUpdate(()=>this.target.removeProperty(C))}}class RootStyleSheetTarget{setProperty(C,R){RootStyleSheetTarget.properties[C]=R;for(const O of RootStyleSheetTarget.roots.values())PropertyTargetManager.getOrCreate(RootStyleSheetTarget.normalizeRoot(O)).setProperty(C,R)}removeProperty(C){delete RootStyleSheetTarget.properties[C];for(const R of RootStyleSheetTarget.roots.values())PropertyTargetManager.getOrCreate(RootStyleSheetTarget.normalizeRoot(R)).removeProperty(C)}static registerRoot(C){const{roots:R}=RootStyleSheetTarget;if(!R.has(C)){R.add(C);const O=PropertyTargetManager.getOrCreate(this.normalizeRoot(C));for(const I in RootStyleSheetTarget.properties)O.setProperty(I,RootStyleSheetTarget.properties[I])}}static unregisterRoot(C){const{roots:R}=RootStyleSheetTarget;if(R.has(C)){R.delete(C);const O=PropertyTargetManager.getOrCreate(RootStyleSheetTarget.normalizeRoot(C));for(const I in RootStyleSheetTarget.properties)O.removeProperty(I)}}static normalizeRoot(C){return C===defaultElement?document:C}}RootStyleSheetTarget.roots=new Set,RootStyleSheetTarget.properties={};const propertyTargetCache=new WeakMap,propertyTargetCtor=DOM.supportsAdoptedStyleSheets?ConstructableStyleSheetTarget:StyleElementStyleSheetTarget,PropertyTargetManager=Object.freeze({getOrCreate(S){if(propertyTargetCache.has(S))return propertyTargetCache.get(S);let C;return S===defaultElement?C=new RootStyleSheetTarget:S instanceof Document?C=DOM.supportsAdoptedStyleSheets?new DocumentStyleSheetTarget:new HeadStyleElementStyleSheetTarget:isFastElement(S)?C=new propertyTargetCtor(S):C=new ElementStyleSheetTarget(S),propertyTargetCache.set(S,C),C}});class DesignTokenImpl extends CSSDirective{constructor(C){super(),this.subscribers=new WeakMap,this._appliedTo=new Set,this.name=C.name,C.cssCustomPropertyName!==null&&(this.cssCustomProperty=`--${C.cssCustomPropertyName}`,this.cssVar=`var(${this.cssCustomProperty})`),this.id=DesignTokenImpl.uniqueId(),DesignTokenImpl.tokensById.set(this.id,this)}get appliedTo(){return[...this._appliedTo]}static from(C){return new DesignTokenImpl({name:typeof C=="string"?C:C.name,cssCustomPropertyName:typeof C=="string"?C:C.cssCustomPropertyName===void 0?C.name:C.cssCustomPropertyName})}static isCSSDesignToken(C){return typeof C.cssCustomProperty=="string"}static isDerivedDesignTokenValue(C){return typeof C=="function"}static getTokenById(C){return DesignTokenImpl.tokensById.get(C)}getOrCreateSubscriberSet(C=this){return this.subscribers.get(C)||this.subscribers.set(C,new Set)&&this.subscribers.get(C)}createCSS(){return this.cssVar||""}getValueFor(C){const R=DesignTokenNode.getOrCreate(C).get(this);if(R!==void 0)return R;throw new Error(`Value could not be retrieved for token named "${this.name}". Ensure the value is set for ${C} or an ancestor of ${C}.`)}setValueFor(C,R){return this._appliedTo.add(C),R instanceof DesignTokenImpl&&(R=this.alias(R)),DesignTokenNode.getOrCreate(C).set(this,R),this}deleteValueFor(C){return this._appliedTo.delete(C),DesignTokenNode.existsFor(C)&&DesignTokenNode.getOrCreate(C).delete(this),this}withDefault(C){return this.setValueFor(defaultElement,C),this}subscribe(C,R){const O=this.getOrCreateSubscriberSet(R);R&&!DesignTokenNode.existsFor(R)&&DesignTokenNode.getOrCreate(R),O.has(C)||O.add(C)}unsubscribe(C,R){const O=this.subscribers.get(R||this);O&&O.has(C)&&O.delete(C)}notify(C){const R=Object.freeze({token:this,target:C});this.subscribers.has(this)&&this.subscribers.get(this).forEach(O=>O.handleChange(R)),this.subscribers.has(C)&&this.subscribers.get(C).forEach(O=>O.handleChange(R))}alias(C){return R=>C.getValueFor(R)}}DesignTokenImpl.uniqueId=(()=>{let S=0;return()=>(S++,S.toString(16))})(),DesignTokenImpl.tokensById=new Map;class CustomPropertyReflector{startReflection(C,R){C.subscribe(this,R),this.handleChange({token:C,target:R})}stopReflection(C,R){C.unsubscribe(this,R),this.remove(C,R)}handleChange(C){const{token:R,target:O}=C;this.add(R,O)}add(C,R){PropertyTargetManager.getOrCreate(R).setProperty(C.cssCustomProperty,this.resolveCSSValue(DesignTokenNode.getOrCreate(R).get(C)))}remove(C,R){PropertyTargetManager.getOrCreate(R).removeProperty(C.cssCustomProperty)}resolveCSSValue(C){return C&&typeof C.createCSS=="function"?C.createCSS():C}}class DesignTokenBindingObserver{constructor(C,R,O){this.source=C,this.token=R,this.node=O,this.dependencies=new Set,this.observer=Observable$1.binding(C,this,!1),this.observer.handleChange=this.observer.call,this.handleChange()}disconnect(){this.observer.disconnect()}handleChange(){this.node.store.set(this.token,this.observer.observe(this.node.target,defaultExecutionContext))}}class Store{constructor(){this.values=new Map}set(C,R){this.values.get(C)!==R&&(this.values.set(C,R),Observable$1.getNotifier(this).notify(C.id))}get(C){return Observable$1.track(this,C.id),this.values.get(C)}delete(C){this.values.delete(C)}all(){return this.values.entries()}}const nodeCache=new WeakMap,childToParent=new WeakMap;class DesignTokenNode{constructor(C){this.target=C,this.store=new Store,this.children=[],this.assignedValues=new Map,this.reflecting=new Set,this.bindingObservers=new Map,this.tokenValueChangeHandler={handleChange:(R,O)=>{const I=DesignTokenImpl.getTokenById(O);if(I&&(I.notify(this.target),DesignTokenImpl.isCSSDesignToken(I))){const N=this.parent,L=this.isReflecting(I);if(N){const B=N.get(I),j=R.get(I);B!==j&&!L?this.reflectToCSS(I):B===j&&L&&this.stopReflectToCSS(I)}else L||this.reflectToCSS(I)}}},nodeCache.set(C,this),Observable$1.getNotifier(this.store).subscribe(this.tokenValueChangeHandler),C instanceof FASTElement?C.$fastController.addBehaviors([this]):C.isConnected&&this.bind()}static getOrCreate(C){return nodeCache.get(C)||new DesignTokenNode(C)}static existsFor(C){return nodeCache.has(C)}static findParent(C){if(defaultElement!==C.target){let R=composedParent(C.target);for(;R!==null;){if(nodeCache.has(R))return nodeCache.get(R);R=composedParent(R)}return DesignTokenNode.getOrCreate(defaultElement)}return null}static findClosestAssignedNode(C,R){let O=R;do{if(O.has(C))return O;O=O.parent?O.parent:O.target!==defaultElement?DesignTokenNode.getOrCreate(defaultElement):null}while(O!==null);return null}get parent(){return childToParent.get(this)||null}has(C){return this.assignedValues.has(C)}get(C){const R=this.store.get(C);if(R!==void 0)return R;const O=this.getRaw(C);if(O!==void 0)return this.hydrate(C,O),this.get(C)}getRaw(C){var R;return this.assignedValues.has(C)?this.assignedValues.get(C):(R=DesignTokenNode.findClosestAssignedNode(C,this))===null||R===void 0?void 0:R.getRaw(C)}set(C,R){DesignTokenImpl.isDerivedDesignTokenValue(this.assignedValues.get(C))&&this.tearDownBindingObserver(C),this.assignedValues.set(C,R),DesignTokenImpl.isDerivedDesignTokenValue(R)?this.setupBindingObserver(C,R):this.store.set(C,R)}delete(C){this.assignedValues.delete(C),this.tearDownBindingObserver(C);const R=this.getRaw(C);R?this.hydrate(C,R):this.store.delete(C)}bind(){const C=DesignTokenNode.findParent(this);C&&C.appendChild(this);for(const R of this.assignedValues.keys())R.notify(this.target)}unbind(){this.parent&&childToParent.get(this).removeChild(this)}appendChild(C){C.parent&&childToParent.get(C).removeChild(C);const R=this.children.filter(O=>C.contains(O));childToParent.set(C,this),this.children.push(C),R.forEach(O=>C.appendChild(O)),Observable$1.getNotifier(this.store).subscribe(C);for(const[O,I]of this.store.all())C.hydrate(O,this.bindingObservers.has(O)?this.getRaw(O):I)}removeChild(C){const R=this.children.indexOf(C);return R!==-1&&this.children.splice(R,1),Observable$1.getNotifier(this.store).unsubscribe(C),C.parent===this?childToParent.delete(C):!1}contains(C){return composedContains(this.target,C.target)}reflectToCSS(C){this.isReflecting(C)||(this.reflecting.add(C),DesignTokenNode.cssCustomPropertyReflector.startReflection(C,this.target))}stopReflectToCSS(C){this.isReflecting(C)&&(this.reflecting.delete(C),DesignTokenNode.cssCustomPropertyReflector.stopReflection(C,this.target))}isReflecting(C){return this.reflecting.has(C)}handleChange(C,R){const O=DesignTokenImpl.getTokenById(R);O&&this.hydrate(O,this.getRaw(O))}hydrate(C,R){if(!this.has(C)){const O=this.bindingObservers.get(C);DesignTokenImpl.isDerivedDesignTokenValue(R)?O?O.source!==R&&(this.tearDownBindingObserver(C),this.setupBindingObserver(C,R)):this.setupBindingObserver(C,R):(O&&this.tearDownBindingObserver(C),this.store.set(C,R))}}setupBindingObserver(C,R){const O=new DesignTokenBindingObserver(R,C,this);return this.bindingObservers.set(C,O),O}tearDownBindingObserver(C){return this.bindingObservers.has(C)?(this.bindingObservers.get(C).disconnect(),this.bindingObservers.delete(C),!0):!1}}DesignTokenNode.cssCustomPropertyReflector=new CustomPropertyReflector,__decorate([observable],DesignTokenNode.prototype,"children",void 0);function create$5(S){return DesignTokenImpl.from(S)}const DesignToken=Object.freeze({create:create$5,notifyConnection(S){return!S.isConnected||!DesignTokenNode.existsFor(S)?!1:(DesignTokenNode.getOrCreate(S).bind(),!0)},notifyDisconnection(S){return S.isConnected||!DesignTokenNode.existsFor(S)?!1:(DesignTokenNode.getOrCreate(S).unbind(),!0)},registerRoot(S=defaultElement){RootStyleSheetTarget.registerRoot(S)},unregisterRoot(S=defaultElement){RootStyleSheetTarget.unregisterRoot(S)}}),ElementDisambiguation=Object.freeze({definitionCallbackOnly:null,ignoreDuplicate:Symbol()}),elementTypesByTag=new Map,elementTagsByType=new Map;let rootDesignSystem=null;const designSystemKey=DI.createInterface(S=>S.cachedCallback(C=>(rootDesignSystem===null&&(rootDesignSystem=new DefaultDesignSystem(null,C)),rootDesignSystem))),DesignSystem=Object.freeze({tagFor(S){return elementTagsByType.get(S)},responsibleFor(S){const C=S.$$designSystem$$;return C||DI.findResponsibleContainer(S).get(designSystemKey)},getOrCreate(S){if(!S)return rootDesignSystem===null&&(rootDesignSystem=DI.getOrCreateDOMContainer().get(designSystemKey)),rootDesignSystem;const C=S.$$designSystem$$;if(C)return C;const R=DI.getOrCreateDOMContainer(S);if(R.has(designSystemKey,!1))return R.get(designSystemKey);{const O=new DefaultDesignSystem(S,R);return R.register(Registration.instance(designSystemKey,O)),O}}});function extractTryDefineElementParams(S,C,R){return typeof S=="string"?{name:S,type:C,callback:R}:S}class DefaultDesignSystem{constructor(C,R){this.owner=C,this.container=R,this.designTokensInitialized=!1,this.prefix="fast",this.shadowRootMode=void 0,this.disambiguate=()=>ElementDisambiguation.definitionCallbackOnly,C!==null&&(C.$$designSystem$$=this)}withPrefix(C){return this.prefix=C,this}withShadowRootMode(C){return this.shadowRootMode=C,this}withElementDisambiguation(C){return this.disambiguate=C,this}withDesignTokenRoot(C){return this.designTokenRoot=C,this}register(...C){const R=this.container,O=[],I=this.disambiguate,N=this.shadowRootMode,L={elementPrefix:this.prefix,tryDefineElement(B,j,F){const V=extractTryDefineElementParams(B,j,F),{name:K,callback:W,baseClass:X}=V;let{type:J}=V,oe=K,pe=elementTypesByTag.get(oe),me=!0;for(;pe;){const xe=I(oe,J,pe);switch(xe){case ElementDisambiguation.ignoreDuplicate:return;case ElementDisambiguation.definitionCallbackOnly:me=!1,pe=void 0;break;default:oe=xe,pe=elementTypesByTag.get(oe);break}}me&&((elementTagsByType.has(J)||J===FoundationElement)&&(J=class extends J{}),elementTypesByTag.set(oe,J),elementTagsByType.set(J,oe),X&&elementTagsByType.set(X,oe)),O.push(new ElementDefinitionEntry(R,oe,J,N,W,me))}};this.designTokensInitialized||(this.designTokensInitialized=!0,this.designTokenRoot!==null&&DesignToken.registerRoot(this.designTokenRoot)),R.registerWithContext(L,...C);for(const B of O)B.callback(B),B.willDefine&&B.definition!==null&&B.definition.define();return this}}class ElementDefinitionEntry{constructor(C,R,O,I,N,L){this.container=C,this.name=R,this.type=O,this.shadowRootMode=I,this.callback=N,this.willDefine=L,this.definition=null}definePresentation(C){ComponentPresentation.define(this.name,C,this.container)}defineElement(C){this.definition=new FASTElementDefinition(this.type,Object.assign(Object.assign({},C),{name:this.name}))}tagFor(C){return DesignSystem.tagFor(C)}}const dividerTemplate=(S,C)=>html$4`
-    <template role="${R=>R.role}" aria-orientation="${R=>R.orientation}"></template>
-`,DividerRole={separator:"separator",presentation:"presentation"};let Divider$1=class extends FoundationElement{constructor(){super(...arguments),this.role=DividerRole.separator,this.orientation=Orientation.horizontal}};__decorate([attr],Divider$1.prototype,"role",void 0),__decorate([attr],Divider$1.prototype,"orientation",void 0);const listboxOptionTemplate=(S,C)=>html$4`
-    <template
-        aria-checked="${R=>R.ariaChecked}"
-        aria-disabled="${R=>R.ariaDisabled}"
-        aria-posinset="${R=>R.ariaPosInSet}"
-        aria-selected="${R=>R.ariaSelected}"
-        aria-setsize="${R=>R.ariaSetSize}"
-        class="${R=>[R.checked&&"checked",R.selected&&"selected",R.disabled&&"disabled"].filter(Boolean).join(" ")}"
-        role="option"
-    >
-        ${startSlotTemplate(S,C)}
-        <span class="content" part="content">
-            <slot ${slotted("content")}></slot>
-        </span>
-        ${endSlotTemplate(S,C)}
-    </template>
-`;class ListboxElement extends Listbox{constructor(){super(...arguments),this.activeIndex=-1,this.rangeStartIndex=-1}get activeOption(){return this.options[this.activeIndex]}get checkedOptions(){var C;return(C=this.options)===null||C===void 0?void 0:C.filter(R=>R.checked)}get firstSelectedOptionIndex(){return this.options.indexOf(this.firstSelectedOption)}activeIndexChanged(C,R){var O,I;this.ariaActiveDescendant=(I=(O=this.options[R])===null||O===void 0?void 0:O.id)!==null&&I!==void 0?I:"",this.focusAndScrollOptionIntoView()}checkActiveIndex(){if(!this.multiple)return;const C=this.activeOption;C&&(C.checked=!0)}checkFirstOption(C=!1){C?(this.rangeStartIndex===-1&&(this.rangeStartIndex=this.activeIndex+1),this.options.forEach((R,O)=>{R.checked=inRange(O,this.rangeStartIndex)})):this.uncheckAllOptions(),this.activeIndex=0,this.checkActiveIndex()}checkLastOption(C=!1){C?(this.rangeStartIndex===-1&&(this.rangeStartIndex=this.activeIndex),this.options.forEach((R,O)=>{R.checked=inRange(O,this.rangeStartIndex,this.options.length)})):this.uncheckAllOptions(),this.activeIndex=this.options.length-1,this.checkActiveIndex()}connectedCallback(){super.connectedCallback(),this.addEventListener("focusout",this.focusoutHandler)}disconnectedCallback(){this.removeEventListener("focusout",this.focusoutHandler),super.disconnectedCallback()}checkNextOption(C=!1){C?(this.rangeStartIndex===-1&&(this.rangeStartIndex=this.activeIndex),this.options.forEach((R,O)=>{R.checked=inRange(O,this.rangeStartIndex,this.activeIndex+1)})):this.uncheckAllOptions(),this.activeIndex+=this.activeIndex<this.options.length-1?1:0,this.checkActiveIndex()}checkPreviousOption(C=!1){C?(this.rangeStartIndex===-1&&(this.rangeStartIndex=this.activeIndex),this.checkedOptions.length===1&&(this.rangeStartIndex+=1),this.options.forEach((R,O)=>{R.checked=inRange(O,this.activeIndex,this.rangeStartIndex)})):this.uncheckAllOptions(),this.activeIndex-=this.activeIndex>0?1:0,this.checkActiveIndex()}clickHandler(C){var R;if(!this.multiple)return super.clickHandler(C);const O=(R=C.target)===null||R===void 0?void 0:R.closest("[role=option]");if(!(!O||O.disabled))return this.uncheckAllOptions(),this.activeIndex=this.options.indexOf(O),this.checkActiveIndex(),this.toggleSelectedForAllCheckedOptions(),!0}focusAndScrollOptionIntoView(){super.focusAndScrollOptionIntoView(this.activeOption)}focusinHandler(C){if(!this.multiple)return super.focusinHandler(C);!this.shouldSkipFocus&&C.target===C.currentTarget&&(this.uncheckAllOptions(),this.activeIndex===-1&&(this.activeIndex=this.firstSelectedOptionIndex!==-1?this.firstSelectedOptionIndex:0),this.checkActiveIndex(),this.setSelectedOptions(),this.focusAndScrollOptionIntoView()),this.shouldSkipFocus=!1}focusoutHandler(C){this.multiple&&this.uncheckAllOptions()}keydownHandler(C){if(!this.multiple)return super.keydownHandler(C);if(this.disabled)return!0;const{key:R,shiftKey:O}=C;switch(this.shouldSkipFocus=!1,R){case keyHome:{this.checkFirstOption(O);return}case keyArrowDown:{this.checkNextOption(O);return}case keyArrowUp:{this.checkPreviousOption(O);return}case keyEnd:{this.checkLastOption(O);return}case keyTab:return this.focusAndScrollOptionIntoView(),!0;case keyEscape:return this.uncheckAllOptions(),this.checkActiveIndex(),!0;case keySpace:if(C.preventDefault(),this.typeAheadExpired){this.toggleSelectedForAllCheckedOptions();return}default:return R.length===1&&this.handleTypeAhead(`${R}`),!0}}mousedownHandler(C){if(C.offsetX>=0&&C.offsetX<=this.scrollWidth)return super.mousedownHandler(C)}multipleChanged(C,R){var O;this.ariaMultiSelectable=R?"true":null,(O=this.options)===null||O===void 0||O.forEach(I=>{I.checked=R?!1:void 0}),this.setSelectedOptions()}setSelectedOptions(){if(!this.multiple){super.setSelectedOptions();return}this.$fastController.isConnected&&this.options&&(this.selectedOptions=this.options.filter(C=>C.selected),this.focusAndScrollOptionIntoView())}sizeChanged(C,R){var O;const I=Math.max(0,parseInt((O=R==null?void 0:R.toFixed())!==null&&O!==void 0?O:"",10));I!==R&&DOM.queueUpdate(()=>{this.size=I})}toggleSelectedForAllCheckedOptions(){const C=this.checkedOptions.filter(O=>!O.disabled),R=!C.every(O=>O.selected);C.forEach(O=>O.selected=R),this.selectedIndex=this.options.indexOf(C[C.length-1]),this.setSelectedOptions()}typeaheadBufferChanged(C,R){if(!this.multiple){super.typeaheadBufferChanged(C,R);return}if(this.$fastController.isConnected){const O=this.getTypeaheadMatches(),I=this.options.indexOf(O[0]);I>-1&&(this.activeIndex=I,this.uncheckAllOptions(),this.checkActiveIndex()),this.typeAheadExpired=!1}}uncheckAllOptions(C=!1){this.options.forEach(R=>R.checked=this.multiple?!1:void 0),C||(this.rangeStartIndex=-1)}}__decorate([observable],ListboxElement.prototype,"activeIndex",void 0),__decorate([attr({mode:"boolean"})],ListboxElement.prototype,"multiple",void 0),__decorate([attr({converter:nullableNumberConverter})],ListboxElement.prototype,"size",void 0);class _TextField extends FoundationElement{}class FormAssociatedTextField extends FormAssociated(_TextField){constructor(){super(...arguments),this.proxy=document.createElement("input")}}const TextFieldType={email:"email",password:"password",tel:"tel",text:"text",url:"url"};let TextField$1=class extends FormAssociatedTextField{constructor(){super(...arguments),this.type=TextFieldType.text}readOnlyChanged(){this.proxy instanceof HTMLInputElement&&(this.proxy.readOnly=this.readOnly,this.validate())}autofocusChanged(){this.proxy instanceof HTMLInputElement&&(this.proxy.autofocus=this.autofocus,this.validate())}placeholderChanged(){this.proxy instanceof HTMLInputElement&&(this.proxy.placeholder=this.placeholder)}typeChanged(){this.proxy instanceof HTMLInputElement&&(this.proxy.type=this.type,this.validate())}listChanged(){this.proxy instanceof HTMLInputElement&&(this.proxy.setAttribute("list",this.list),this.validate())}maxlengthChanged(){this.proxy instanceof HTMLInputElement&&(this.proxy.maxLength=this.maxlength,this.validate())}minlengthChanged(){this.proxy instanceof HTMLInputElement&&(this.proxy.minLength=this.minlength,this.validate())}patternChanged(){this.proxy instanceof HTMLInputElement&&(this.proxy.pattern=this.pattern,this.validate())}sizeChanged(){this.proxy instanceof HTMLInputElement&&(this.proxy.size=this.size)}spellcheckChanged(){this.proxy instanceof HTMLInputElement&&(this.proxy.spellcheck=this.spellcheck)}connectedCallback(){super.connectedCallback(),this.proxy.setAttribute("type",this.type),this.validate(),this.autofocus&&DOM.queueUpdate(()=>{this.focus()})}select(){this.control.select(),this.$emit("select")}handleTextInput(){this.value=this.control.value}handleChange(){this.$emit("change")}validate(){super.validate(this.control)}};__decorate([attr({attribute:"readonly",mode:"boolean"})],TextField$1.prototype,"readOnly",void 0),__decorate([attr({mode:"boolean"})],TextField$1.prototype,"autofocus",void 0),__decorate([attr],TextField$1.prototype,"placeholder",void 0),__decorate([attr],TextField$1.prototype,"type",void 0),__decorate([attr],TextField$1.prototype,"list",void 0),__decorate([attr({converter:nullableNumberConverter})],TextField$1.prototype,"maxlength",void 0),__decorate([attr({converter:nullableNumberConverter})],TextField$1.prototype,"minlength",void 0),__decorate([attr],TextField$1.prototype,"pattern",void 0),__decorate([attr({converter:nullableNumberConverter})],TextField$1.prototype,"size",void 0),__decorate([attr({mode:"boolean"})],TextField$1.prototype,"spellcheck",void 0),__decorate([observable],TextField$1.prototype,"defaultSlottedNodes",void 0);class DelegatesARIATextbox{}applyMixins(DelegatesARIATextbox,ARIAGlobalStatesAndProperties),applyMixins(TextField$1,StartEnd,DelegatesARIATextbox);const progressSegments=44,progressRingTemplate=(S,C)=>html$4`
-    <template
-        role="progressbar"
-        aria-valuenow="${R=>R.value}"
-        aria-valuemin="${R=>R.min}"
-        aria-valuemax="${R=>R.max}"
-        class="${R=>R.paused?"paused":""}"
-    >
-        ${when(R=>typeof R.value=="number",html$4`
-                <svg
-                    class="progress"
-                    part="progress"
-                    viewBox="0 0 16 16"
-                    slot="determinate"
-                >
-                    <circle
-                        class="background"
-                        part="background"
-                        cx="8px"
-                        cy="8px"
-                        r="7px"
-                    ></circle>
-                    <circle
-                        class="determinate"
-                        part="determinate"
-                        style="stroke-dasharray: ${R=>progressSegments*R.percentComplete/100}px ${progressSegments}px"
-                        cx="8px"
-                        cy="8px"
-                        r="7px"
-                    ></circle>
-                </svg>
-            `,html$4`
-                <slot name="indeterminate" slot="indeterminate">
-                    ${C.indeterminateIndicator||""}
-                </slot>
-            `)}
-    </template>
-`;class BaseProgress extends FoundationElement{constructor(){super(...arguments),this.percentComplete=0}valueChanged(){this.$fastController.isConnected&&this.updatePercentComplete()}minChanged(){this.$fastController.isConnected&&this.updatePercentComplete()}maxChanged(){this.$fastController.isConnected&&this.updatePercentComplete()}connectedCallback(){super.connectedCallback(),this.updatePercentComplete()}updatePercentComplete(){const C=typeof this.min=="number"?this.min:0,R=typeof this.max=="number"?this.max:100,O=typeof this.value=="number"?this.value:0,I=R-C;this.percentComplete=I===0?0:Math.fround((O-C)/I*100)}}__decorate([attr({converter:nullableNumberConverter})],BaseProgress.prototype,"value",void 0),__decorate([attr({converter:nullableNumberConverter})],BaseProgress.prototype,"min",void 0),__decorate([attr({converter:nullableNumberConverter})],BaseProgress.prototype,"max",void 0),__decorate([attr({mode:"boolean"})],BaseProgress.prototype,"paused",void 0),__decorate([observable],BaseProgress.prototype,"percentComplete",void 0);const radioGroupTemplate=(S,C)=>html$4`
-    <template
-        role="radiogroup"
-        aria-disabled="${R=>R.disabled}"
-        aria-readonly="${R=>R.readOnly}"
-        @click="${(R,O)=>R.clickHandler(O.event)}"
-        @keydown="${(R,O)=>R.keydownHandler(O.event)}"
-        @focusout="${(R,O)=>R.focusOutHandler(O.event)}"
-    >
-        <slot name="label"></slot>
-        <div
-            class="positioning-region ${R=>R.orientation===Orientation.horizontal?"horizontal":"vertical"}"
-            part="positioning-region"
-        >
-            <slot
-                ${slotted({property:"slottedRadioButtons",filter:elements("[role=radio]")})}
-            ></slot>
-        </div>
-    </template>
-`;let RadioGroup$1=class extends FoundationElement{constructor(){super(...arguments),this.orientation=Orientation.horizontal,this.radioChangeHandler=C=>{const R=C.target;R.checked&&(this.slottedRadioButtons.forEach(O=>{O!==R&&(O.checked=!1,this.isInsideFoundationToolbar||O.setAttribute("tabindex","-1"))}),this.selectedRadio=R,this.value=R.value,R.setAttribute("tabindex","0"),this.focusedRadio=R),C.stopPropagation()},this.moveToRadioByIndex=(C,R)=>{const O=C[R];this.isInsideToolbar||(O.setAttribute("tabindex","0"),O.readOnly?this.slottedRadioButtons.forEach(I=>{I!==O&&I.setAttribute("tabindex","-1")}):(O.checked=!0,this.selectedRadio=O)),this.focusedRadio=O,O.focus()},this.moveRightOffGroup=()=>{var C;(C=this.nextElementSibling)===null||C===void 0||C.focus()},this.moveLeftOffGroup=()=>{var C;(C=this.previousElementSibling)===null||C===void 0||C.focus()},this.focusOutHandler=C=>{const R=this.slottedRadioButtons,O=C.target,I=O!==null?R.indexOf(O):0,N=this.focusedRadio?R.indexOf(this.focusedRadio):-1;return(N===0&&I===N||N===R.length-1&&N===I)&&(this.selectedRadio?(this.focusedRadio=this.selectedRadio,this.isInsideFoundationToolbar||(this.selectedRadio.setAttribute("tabindex","0"),R.forEach(L=>{L!==this.selectedRadio&&L.setAttribute("tabindex","-1")}))):(this.focusedRadio=R[0],this.focusedRadio.setAttribute("tabindex","0"),R.forEach(L=>{L!==this.focusedRadio&&L.setAttribute("tabindex","-1")}))),!0},this.clickHandler=C=>{const R=C.target;if(R){const O=this.slottedRadioButtons;R.checked||O.indexOf(R)===0?(R.setAttribute("tabindex","0"),this.selectedRadio=R):(R.setAttribute("tabindex","-1"),this.selectedRadio=null),this.focusedRadio=R}C.preventDefault()},this.shouldMoveOffGroupToTheRight=(C,R,O)=>C===R.length&&this.isInsideToolbar&&O===keyArrowRight,this.shouldMoveOffGroupToTheLeft=(C,R)=>(this.focusedRadio?C.indexOf(this.focusedRadio)-1:0)<0&&this.isInsideToolbar&&R===keyArrowLeft,this.checkFocusedRadio=()=>{this.focusedRadio!==null&&!this.focusedRadio.readOnly&&!this.focusedRadio.checked&&(this.focusedRadio.checked=!0,this.focusedRadio.setAttribute("tabindex","0"),this.focusedRadio.focus(),this.selectedRadio=this.focusedRadio)},this.moveRight=C=>{const R=this.slottedRadioButtons;let O=0;if(O=this.focusedRadio?R.indexOf(this.focusedRadio)+1:1,this.shouldMoveOffGroupToTheRight(O,R,C.key)){this.moveRightOffGroup();return}else O===R.length&&(O=0);for(;O<R.length&&R.length>1;)if(R[O].disabled){if(this.focusedRadio&&O===R.indexOf(this.focusedRadio))break;if(O+1>=R.length){if(this.isInsideToolbar)break;O=0}else O+=1}else{this.moveToRadioByIndex(R,O);break}},this.moveLeft=C=>{const R=this.slottedRadioButtons;let O=0;if(O=this.focusedRadio?R.indexOf(this.focusedRadio)-1:0,O=O<0?R.length-1:O,this.shouldMoveOffGroupToTheLeft(R,C.key)){this.moveLeftOffGroup();return}for(;O>=0&&R.length>1;)if(R[O].disabled){if(this.focusedRadio&&O===R.indexOf(this.focusedRadio))break;O-1<0?O=R.length-1:O-=1}else{this.moveToRadioByIndex(R,O);break}},this.keydownHandler=C=>{const R=C.key;if(R in ArrowKeys&&this.isInsideFoundationToolbar)return!0;switch(R){case keyEnter:{this.checkFocusedRadio();break}case keyArrowRight:case keyArrowDown:{this.direction===Direction.ltr?this.moveRight(C):this.moveLeft(C);break}case keyArrowLeft:case keyArrowUp:{this.direction===Direction.ltr?this.moveLeft(C):this.moveRight(C);break}default:return!0}}}readOnlyChanged(){this.slottedRadioButtons!==void 0&&this.slottedRadioButtons.forEach(C=>{this.readOnly?C.readOnly=!0:C.readOnly=!1})}disabledChanged(){this.slottedRadioButtons!==void 0&&this.slottedRadioButtons.forEach(C=>{this.disabled?C.disabled=!0:C.disabled=!1})}nameChanged(){this.slottedRadioButtons&&this.slottedRadioButtons.forEach(C=>{C.setAttribute("name",this.name)})}valueChanged(){this.slottedRadioButtons&&this.slottedRadioButtons.forEach(C=>{C.value===this.value&&(C.checked=!0,this.selectedRadio=C)}),this.$emit("change")}slottedRadioButtonsChanged(C,R){this.slottedRadioButtons&&this.slottedRadioButtons.length>0&&this.setupRadioButtons()}get parentToolbar(){return this.closest('[role="toolbar"]')}get isInsideToolbar(){var C;return(C=this.parentToolbar)!==null&&C!==void 0?C:!1}get isInsideFoundationToolbar(){var C;return!!(!((C=this.parentToolbar)===null||C===void 0)&&C.$fastController)}connectedCallback(){super.connectedCallback(),this.direction=getDirection(this),this.setupRadioButtons()}disconnectedCallback(){this.slottedRadioButtons.forEach(C=>{C.removeEventListener("change",this.radioChangeHandler)})}setupRadioButtons(){const C=this.slottedRadioButtons.filter(I=>I.hasAttribute("checked")),R=C?C.length:0;if(R>1){const I=C[R-1];I.checked=!0}let O=!1;if(this.slottedRadioButtons.forEach(I=>{this.name!==void 0&&I.setAttribute("name",this.name),this.disabled&&(I.disabled=!0),this.readOnly&&(I.readOnly=!0),this.value&&this.value===I.value?(this.selectedRadio=I,this.focusedRadio=I,I.checked=!0,I.setAttribute("tabindex","0"),O=!0):(this.isInsideFoundationToolbar||I.setAttribute("tabindex","-1"),I.checked=!1),I.addEventListener("change",this.radioChangeHandler)}),this.value===void 0&&this.slottedRadioButtons.length>0){const I=this.slottedRadioButtons.filter(L=>L.hasAttribute("checked")),N=I!==null?I.length:0;if(N>0&&!O){const L=I[N-1];L.checked=!0,this.focusedRadio=L,L.setAttribute("tabindex","0")}else this.slottedRadioButtons[0].setAttribute("tabindex","0"),this.focusedRadio=this.slottedRadioButtons[0]}}};__decorate([attr({attribute:"readonly",mode:"boolean"})],RadioGroup$1.prototype,"readOnly",void 0),__decorate([attr({attribute:"disabled",mode:"boolean"})],RadioGroup$1.prototype,"disabled",void 0),__decorate([attr],RadioGroup$1.prototype,"name",void 0),__decorate([attr],RadioGroup$1.prototype,"value",void 0),__decorate([attr],RadioGroup$1.prototype,"orientation",void 0),__decorate([observable],RadioGroup$1.prototype,"childItems",void 0),__decorate([observable],RadioGroup$1.prototype,"slottedRadioButtons",void 0);const radioTemplate=(S,C)=>html$4`
-    <template
-        role="radio"
-        class="${R=>R.checked?"checked":""} ${R=>R.readOnly?"readonly":""}"
-        aria-checked="${R=>R.checked}"
-        aria-required="${R=>R.required}"
-        aria-disabled="${R=>R.disabled}"
-        aria-readonly="${R=>R.readOnly}"
-        @keypress="${(R,O)=>R.keypressHandler(O.event)}"
-        @click="${(R,O)=>R.clickHandler(O.event)}"
-    >
-        <div part="control" class="control">
-            <slot name="checked-indicator">
-                ${C.checkedIndicator||""}
-            </slot>
-        </div>
-        <label
-            part="label"
-            class="${R=>R.defaultSlottedNodes&&R.defaultSlottedNodes.length?"label":"label label__hidden"}"
-        >
-            <slot ${slotted("defaultSlottedNodes")}></slot>
-        </label>
-    </template>
-`;class _Radio extends FoundationElement{}class FormAssociatedRadio extends CheckableFormAssociated(_Radio){constructor(){super(...arguments),this.proxy=document.createElement("input")}}let Radio$1=class extends FormAssociatedRadio{constructor(){super(),this.initialValue="on",this.keypressHandler=C=>{switch(C.key){case keySpace:!this.checked&&!this.readOnly&&(this.checked=!0);return}return!0},this.proxy.setAttribute("type","radio")}readOnlyChanged(){this.proxy instanceof HTMLInputElement&&(this.proxy.readOnly=this.readOnly)}defaultCheckedChanged(){var C;this.$fastController.isConnected&&!this.dirtyChecked&&(this.isInsideRadioGroup()||(this.checked=(C=this.defaultChecked)!==null&&C!==void 0?C:!1,this.dirtyChecked=!1))}connectedCallback(){var C,R;super.connectedCallback(),this.validate(),((C=this.parentElement)===null||C===void 0?void 0:C.getAttribute("role"))!=="radiogroup"&&this.getAttribute("tabindex")===null&&(this.disabled||this.setAttribute("tabindex","0")),this.checkedAttribute&&(this.dirtyChecked||this.isInsideRadioGroup()||(this.checked=(R=this.defaultChecked)!==null&&R!==void 0?R:!1,this.dirtyChecked=!1))}isInsideRadioGroup(){return this.closest("[role=radiogroup]")!==null}clickHandler(C){!this.disabled&&!this.readOnly&&!this.checked&&(this.checked=!0)}};__decorate([attr({attribute:"readonly",mode:"boolean"})],Radio$1.prototype,"readOnly",void 0),__decorate([observable],Radio$1.prototype,"name",void 0),__decorate([observable],Radio$1.prototype,"defaultSlottedNodes",void 0);function whitespaceFilter(S,C,R){return S.nodeType!==Node.TEXT_NODE?!0:typeof S.nodeValue=="string"&&!!S.nodeValue.trim().length}class _Select extends ListboxElement{}class FormAssociatedSelect extends FormAssociated(_Select){constructor(){super(...arguments),this.proxy=document.createElement("select")}}class Select extends FormAssociatedSelect{constructor(){super(...arguments),this.open=!1,this.forcedPosition=!1,this.listboxId=uniqueId$1("listbox-"),this.maxHeight=0}openChanged(C,R){if(this.collapsible){if(this.open){this.ariaControls=this.listboxId,this.ariaExpanded="true",this.setPositioning(),this.focusAndScrollOptionIntoView(),this.indexWhenOpened=this.selectedIndex,DOM.queueUpdate(()=>this.focus());return}this.ariaControls="",this.ariaExpanded="false"}}get collapsible(){return!(this.multiple||typeof this.size=="number")}get value(){return Observable$1.track(this,"value"),this._value}set value(C){var R,O,I,N,L,B,j;const F=`${this._value}`;if(!((R=this._options)===null||R===void 0)&&R.length){const V=this._options.findIndex(X=>X.value===C),K=(I=(O=this._options[this.selectedIndex])===null||O===void 0?void 0:O.value)!==null&&I!==void 0?I:null,W=(L=(N=this._options[V])===null||N===void 0?void 0:N.value)!==null&&L!==void 0?L:null;(V===-1||K!==W)&&(C="",this.selectedIndex=V),C=(j=(B=this.firstSelectedOption)===null||B===void 0?void 0:B.value)!==null&&j!==void 0?j:C}F!==C&&(this._value=C,super.valueChanged(F,C),Observable$1.notify(this,"value"),this.updateDisplayValue())}updateValue(C){var R,O;this.$fastController.isConnected&&(this.value=(O=(R=this.firstSelectedOption)===null||R===void 0?void 0:R.value)!==null&&O!==void 0?O:""),C&&(this.$emit("input"),this.$emit("change",this,{bubbles:!0,composed:void 0}))}selectedIndexChanged(C,R){super.selectedIndexChanged(C,R),this.updateValue()}positionChanged(C,R){this.positionAttribute=R,this.setPositioning()}setPositioning(){const C=this.getBoundingClientRect(),O=window.innerHeight-C.bottom;this.position=this.forcedPosition?this.positionAttribute:C.top>O?SelectPosition.above:SelectPosition.below,this.positionAttribute=this.forcedPosition?this.positionAttribute:this.position,this.maxHeight=this.position===SelectPosition.above?~~C.top:~~O}get displayValue(){var C,R;return Observable$1.track(this,"displayValue"),(R=(C=this.firstSelectedOption)===null||C===void 0?void 0:C.text)!==null&&R!==void 0?R:""}disabledChanged(C,R){super.disabledChanged&&super.disabledChanged(C,R),this.ariaDisabled=this.disabled?"true":"false"}formResetCallback(){this.setProxyOptions(),super.setDefaultSelectedOption(),this.selectedIndex===-1&&(this.selectedIndex=0)}clickHandler(C){if(!this.disabled){if(this.open){const R=C.target.closest("option,[role=option]");if(R&&R.disabled)return}return super.clickHandler(C),this.open=this.collapsible&&!this.open,!this.open&&this.indexWhenOpened!==this.selectedIndex&&this.updateValue(!0),!0}}focusoutHandler(C){var R;if(super.focusoutHandler(C),!this.open)return!0;const O=C.relatedTarget;if(this.isSameNode(O)){this.focus();return}!((R=this.options)===null||R===void 0)&&R.includes(O)||(this.open=!1,this.indexWhenOpened!==this.selectedIndex&&this.updateValue(!0))}handleChange(C,R){super.handleChange(C,R),R==="value"&&this.updateValue()}slottedOptionsChanged(C,R){this.options.forEach(O=>{Observable$1.getNotifier(O).unsubscribe(this,"value")}),super.slottedOptionsChanged(C,R),this.options.forEach(O=>{Observable$1.getNotifier(O).subscribe(this,"value")}),this.setProxyOptions(),this.updateValue()}mousedownHandler(C){var R;return C.offsetX>=0&&C.offsetX<=((R=this.listbox)===null||R===void 0?void 0:R.scrollWidth)?super.mousedownHandler(C):this.collapsible}multipleChanged(C,R){super.multipleChanged(C,R),this.proxy&&(this.proxy.multiple=R)}selectedOptionsChanged(C,R){var O;super.selectedOptionsChanged(C,R),(O=this.options)===null||O===void 0||O.forEach((I,N)=>{var L;const B=(L=this.proxy)===null||L===void 0?void 0:L.options.item(N);B&&(B.selected=I.selected)})}setDefaultSelectedOption(){var C;const R=(C=this.options)!==null&&C!==void 0?C:Array.from(this.children).filter(Listbox.slottedOptionFilter),O=R==null?void 0:R.findIndex(I=>I.hasAttribute("selected")||I.selected||I.value===this.value);if(O!==-1){this.selectedIndex=O;return}this.selectedIndex=0}setProxyOptions(){this.proxy instanceof HTMLSelectElement&&this.options&&(this.proxy.options.length=0,this.options.forEach(C=>{const R=C.proxy||(C instanceof HTMLOptionElement?C.cloneNode():null);R&&this.proxy.options.add(R)}))}keydownHandler(C){super.keydownHandler(C);const R=C.key||C.key.charCodeAt(0);switch(R){case keySpace:{C.preventDefault(),this.collapsible&&this.typeAheadExpired&&(this.open=!this.open);break}case keyHome:case keyEnd:{C.preventDefault();break}case keyEnter:{C.preventDefault(),this.open=!this.open;break}case keyEscape:{this.collapsible&&this.open&&(C.preventDefault(),this.open=!1);break}case keyTab:return this.collapsible&&this.open&&(C.preventDefault(),this.open=!1),!0}return!this.open&&this.indexWhenOpened!==this.selectedIndex&&(this.updateValue(!0),this.indexWhenOpened=this.selectedIndex),!(R===keyArrowDown||R===keyArrowUp)}connectedCallback(){super.connectedCallback(),this.forcedPosition=!!this.positionAttribute,this.addEventListener("contentchange",this.updateDisplayValue)}disconnectedCallback(){this.removeEventListener("contentchange",this.updateDisplayValue),super.disconnectedCallback()}sizeChanged(C,R){super.sizeChanged(C,R),this.proxy&&(this.proxy.size=R)}updateDisplayValue(){this.collapsible&&Observable$1.notify(this,"displayValue")}}__decorate([attr({attribute:"open",mode:"boolean"})],Select.prototype,"open",void 0),__decorate([volatile],Select.prototype,"collapsible",null),__decorate([observable],Select.prototype,"control",void 0),__decorate([attr({attribute:"position"})],Select.prototype,"positionAttribute",void 0),__decorate([observable],Select.prototype,"position",void 0),__decorate([observable],Select.prototype,"maxHeight",void 0);class DelegatesARIASelect{}__decorate([observable],DelegatesARIASelect.prototype,"ariaControls",void 0),applyMixins(DelegatesARIASelect,DelegatesARIAListbox),applyMixins(Select,StartEnd,DelegatesARIASelect);const selectTemplate=(S,C)=>html$4`
-    <template
-        class="${R=>[R.collapsible&&"collapsible",R.collapsible&&R.open&&"open",R.disabled&&"disabled",R.collapsible&&R.position].filter(Boolean).join(" ")}"
-        aria-activedescendant="${R=>R.ariaActiveDescendant}"
-        aria-controls="${R=>R.ariaControls}"
-        aria-disabled="${R=>R.ariaDisabled}"
-        aria-expanded="${R=>R.ariaExpanded}"
-        aria-haspopup="${R=>R.collapsible?"listbox":null}"
-        aria-multiselectable="${R=>R.ariaMultiSelectable}"
-        ?open="${R=>R.open}"
-        role="combobox"
-        tabindex="${R=>R.disabled?null:"0"}"
-        @click="${(R,O)=>R.clickHandler(O.event)}"
-        @focusin="${(R,O)=>R.focusinHandler(O.event)}"
-        @focusout="${(R,O)=>R.focusoutHandler(O.event)}"
-        @keydown="${(R,O)=>R.keydownHandler(O.event)}"
-        @mousedown="${(R,O)=>R.mousedownHandler(O.event)}"
-    >
-        ${when(R=>R.collapsible,html$4`
-                <div
-                    class="control"
-                    part="control"
-                    ?disabled="${R=>R.disabled}"
-                    ${ref("control")}
-                >
-                    ${startSlotTemplate(S,C)}
-                    <slot name="button-container">
-                        <div class="selected-value" part="selected-value">
-                            <slot name="selected-value">${R=>R.displayValue}</slot>
-                        </div>
-                        <div aria-hidden="true" class="indicator" part="indicator">
-                            <slot name="indicator">
-                                ${C.indicator||""}
-                            </slot>
-                        </div>
-                    </slot>
-                    ${endSlotTemplate(S,C)}
-                </div>
-            `)}
-        <div
-            class="listbox"
-            id="${R=>R.listboxId}"
-            part="listbox"
-            role="listbox"
-            ?disabled="${R=>R.disabled}"
-            ?hidden="${R=>R.collapsible?!R.open:!1}"
-            ${ref("listbox")}
-        >
-            <slot
-                ${slotted({filter:Listbox.slottedOptionFilter,flatten:!0,property:"slottedOptions"})}
-            ></slot>
-        </div>
-    </template>
-`,tabPanelTemplate=(S,C)=>html$4`
-    <template slot="tabpanel" role="tabpanel">
-        <slot></slot>
-    </template>
-`;class TabPanel extends FoundationElement{}const tabTemplate=(S,C)=>html$4`
-    <template slot="tab" role="tab" aria-disabled="${R=>R.disabled}">
-        <slot></slot>
-    </template>
-`;class Tab extends FoundationElement{}__decorate([attr({mode:"boolean"})],Tab.prototype,"disabled",void 0);const tabsTemplate=(S,C)=>html$4`
-    <template class="${R=>R.orientation}">
-        ${startSlotTemplate(S,C)}
-        <div class="tablist" part="tablist" role="tablist">
-            <slot class="tab" name="tab" part="tab" ${slotted("tabs")}></slot>
-
-            ${when(R=>R.showActiveIndicator,html$4`
-                    <div
-                        ${ref("activeIndicatorRef")}
-                        class="activeIndicator"
-                        part="activeIndicator"
-                    ></div>
-                `)}
-        </div>
-        ${endSlotTemplate(S,C)}
-        <div class="tabpanel" part="tabpanel">
-            <slot name="tabpanel" ${slotted("tabpanels")}></slot>
-        </div>
-    </template>
-`,TabsOrientation={vertical:"vertical",horizontal:"horizontal"};class Tabs extends FoundationElement{constructor(){super(...arguments),this.orientation=TabsOrientation.horizontal,this.activeindicator=!0,this.showActiveIndicator=!0,this.prevActiveTabIndex=0,this.activeTabIndex=0,this.ticking=!1,this.change=()=>{this.$emit("change",this.activetab)},this.isDisabledElement=C=>C.getAttribute("aria-disabled")==="true",this.isHiddenElement=C=>C.hasAttribute("hidden"),this.isFocusableElement=C=>!this.isDisabledElement(C)&&!this.isHiddenElement(C),this.setTabs=()=>{const C="gridColumn",R="gridRow",O=this.isHorizontal()?C:R;this.activeTabIndex=this.getActiveIndex(),this.showActiveIndicator=!1,this.tabs.forEach((I,N)=>{if(I.slot==="tab"){const L=this.activeTabIndex===N&&this.isFocusableElement(I);this.activeindicator&&this.isFocusableElement(I)&&(this.showActiveIndicator=!0);const B=this.tabIds[N],j=this.tabpanelIds[N];I.setAttribute("id",B),I.setAttribute("aria-selected",L?"true":"false"),I.setAttribute("aria-controls",j),I.addEventListener("click",this.handleTabClick),I.addEventListener("keydown",this.handleTabKeyDown),I.setAttribute("tabindex",L?"0":"-1"),L&&(this.activetab=I,this.activeid=B)}I.style[C]="",I.style[R]="",I.style[O]=`${N+1}`,this.isHorizontal()?I.classList.remove("vertical"):I.classList.add("vertical")})},this.setTabPanels=()=>{this.tabpanels.forEach((C,R)=>{const O=this.tabIds[R],I=this.tabpanelIds[R];C.setAttribute("id",I),C.setAttribute("aria-labelledby",O),this.activeTabIndex!==R?C.setAttribute("hidden",""):C.removeAttribute("hidden")})},this.handleTabClick=C=>{const R=C.currentTarget;R.nodeType===1&&this.isFocusableElement(R)&&(this.prevActiveTabIndex=this.activeTabIndex,this.activeTabIndex=this.tabs.indexOf(R),this.setComponent())},this.handleTabKeyDown=C=>{if(this.isHorizontal())switch(C.key){case keyArrowLeft:C.preventDefault(),this.adjustBackward(C);break;case keyArrowRight:C.preventDefault(),this.adjustForward(C);break}else switch(C.key){case keyArrowUp:C.preventDefault(),this.adjustBackward(C);break;case keyArrowDown:C.preventDefault(),this.adjustForward(C);break}switch(C.key){case keyHome:C.preventDefault(),this.adjust(-this.activeTabIndex);break;case keyEnd:C.preventDefault(),this.adjust(this.tabs.length-this.activeTabIndex-1);break}},this.adjustForward=C=>{const R=this.tabs;let O=0;for(O=this.activetab?R.indexOf(this.activetab)+1:1,O===R.length&&(O=0);O<R.length&&R.length>1;)if(this.isFocusableElement(R[O])){this.moveToTabByIndex(R,O);break}else{if(this.activetab&&O===R.indexOf(this.activetab))break;O+1>=R.length?O=0:O+=1}},this.adjustBackward=C=>{const R=this.tabs;let O=0;for(O=this.activetab?R.indexOf(this.activetab)-1:0,O=O<0?R.length-1:O;O>=0&&R.length>1;)if(this.isFocusableElement(R[O])){this.moveToTabByIndex(R,O);break}else O-1<0?O=R.length-1:O-=1},this.moveToTabByIndex=(C,R)=>{const O=C[R];this.activetab=O,this.prevActiveTabIndex=this.activeTabIndex,this.activeTabIndex=R,O.focus(),this.setComponent()}}orientationChanged(){this.$fastController.isConnected&&(this.setTabs(),this.setTabPanels(),this.handleActiveIndicatorPosition())}activeidChanged(C,R){this.$fastController.isConnected&&this.tabs.length<=this.tabpanels.length&&(this.prevActiveTabIndex=this.tabs.findIndex(O=>O.id===C),this.setTabs(),this.setTabPanels(),this.handleActiveIndicatorPosition())}tabsChanged(){this.$fastController.isConnected&&this.tabs.length<=this.tabpanels.length&&(this.tabIds=this.getTabIds(),this.tabpanelIds=this.getTabPanelIds(),this.setTabs(),this.setTabPanels(),this.handleActiveIndicatorPosition())}tabpanelsChanged(){this.$fastController.isConnected&&this.tabpanels.length<=this.tabs.length&&(this.tabIds=this.getTabIds(),this.tabpanelIds=this.getTabPanelIds(),this.setTabs(),this.setTabPanels(),this.handleActiveIndicatorPosition())}getActiveIndex(){return this.activeid!==void 0?this.tabIds.indexOf(this.activeid)===-1?0:this.tabIds.indexOf(this.activeid):0}getTabIds(){return this.tabs.map(C=>{var R;return(R=C.getAttribute("id"))!==null&&R!==void 0?R:`tab-${uniqueId$1()}`})}getTabPanelIds(){return this.tabpanels.map(C=>{var R;return(R=C.getAttribute("id"))!==null&&R!==void 0?R:`panel-${uniqueId$1()}`})}setComponent(){this.activeTabIndex!==this.prevActiveTabIndex&&(this.activeid=this.tabIds[this.activeTabIndex],this.focusTab(),this.change())}isHorizontal(){return this.orientation===TabsOrientation.horizontal}handleActiveIndicatorPosition(){this.showActiveIndicator&&this.activeindicator&&this.activeTabIndex!==this.prevActiveTabIndex&&(this.ticking?this.ticking=!1:(this.ticking=!0,this.animateActiveIndicator()))}animateActiveIndicator(){this.ticking=!0;const C=this.isHorizontal()?"gridColumn":"gridRow",R=this.isHorizontal()?"translateX":"translateY",O=this.isHorizontal()?"offsetLeft":"offsetTop",I=this.activeIndicatorRef[O];this.activeIndicatorRef.style[C]=`${this.activeTabIndex+1}`;const N=this.activeIndicatorRef[O];this.activeIndicatorRef.style[C]=`${this.prevActiveTabIndex+1}`;const L=N-I;this.activeIndicatorRef.style.transform=`${R}(${L}px)`,this.activeIndicatorRef.classList.add("activeIndicatorTransition"),this.activeIndicatorRef.addEventListener("transitionend",()=>{this.ticking=!1,this.activeIndicatorRef.style[C]=`${this.activeTabIndex+1}`,this.activeIndicatorRef.style.transform=`${R}(0px)`,this.activeIndicatorRef.classList.remove("activeIndicatorTransition")})}adjust(C){const R=this.tabs.filter(L=>this.isFocusableElement(L)),O=R.indexOf(this.activetab),I=limit(0,R.length-1,O+C),N=this.tabs.indexOf(R[I]);N>-1&&this.moveToTabByIndex(this.tabs,N)}focusTab(){this.tabs[this.activeTabIndex].focus()}connectedCallback(){super.connectedCallback(),this.tabIds=this.getTabIds(),this.tabpanelIds=this.getTabPanelIds(),this.activeTabIndex=this.getActiveIndex()}}__decorate([attr],Tabs.prototype,"orientation",void 0),__decorate([attr],Tabs.prototype,"activeid",void 0),__decorate([observable],Tabs.prototype,"tabs",void 0),__decorate([observable],Tabs.prototype,"tabpanels",void 0),__decorate([attr({mode:"boolean"})],Tabs.prototype,"activeindicator",void 0),__decorate([observable],Tabs.prototype,"activeIndicatorRef",void 0),__decorate([observable],Tabs.prototype,"showActiveIndicator",void 0),applyMixins(Tabs,StartEnd);class _TextArea extends FoundationElement{}class FormAssociatedTextArea extends FormAssociated(_TextArea){constructor(){super(...arguments),this.proxy=document.createElement("textarea")}}const TextAreaResize={none:"none",both:"both",horizontal:"horizontal",vertical:"vertical"};let TextArea$1=class extends FormAssociatedTextArea{constructor(){super(...arguments),this.resize=TextAreaResize.none,this.cols=20,this.handleTextInput=()=>{this.value=this.control.value}}readOnlyChanged(){this.proxy instanceof HTMLTextAreaElement&&(this.proxy.readOnly=this.readOnly)}autofocusChanged(){this.proxy instanceof HTMLTextAreaElement&&(this.proxy.autofocus=this.autofocus)}listChanged(){this.proxy instanceof HTMLTextAreaElement&&this.proxy.setAttribute("list",this.list)}maxlengthChanged(){this.proxy instanceof HTMLTextAreaElement&&(this.proxy.maxLength=this.maxlength)}minlengthChanged(){this.proxy instanceof HTMLTextAreaElement&&(this.proxy.minLength=this.minlength)}spellcheckChanged(){this.proxy instanceof HTMLTextAreaElement&&(this.proxy.spellcheck=this.spellcheck)}select(){this.control.select(),this.$emit("select")}handleChange(){this.$emit("change")}validate(){super.validate(this.control)}};__decorate([attr({mode:"boolean"})],TextArea$1.prototype,"readOnly",void 0),__decorate([attr],TextArea$1.prototype,"resize",void 0),__decorate([attr({mode:"boolean"})],TextArea$1.prototype,"autofocus",void 0),__decorate([attr({attribute:"form"})],TextArea$1.prototype,"formId",void 0),__decorate([attr],TextArea$1.prototype,"list",void 0),__decorate([attr({converter:nullableNumberConverter})],TextArea$1.prototype,"maxlength",void 0),__decorate([attr({converter:nullableNumberConverter})],TextArea$1.prototype,"minlength",void 0),__decorate([attr],TextArea$1.prototype,"name",void 0),__decorate([attr],TextArea$1.prototype,"placeholder",void 0),__decorate([attr({converter:nullableNumberConverter,mode:"fromView"})],TextArea$1.prototype,"cols",void 0),__decorate([attr({converter:nullableNumberConverter,mode:"fromView"})],TextArea$1.prototype,"rows",void 0),__decorate([attr({mode:"boolean"})],TextArea$1.prototype,"spellcheck",void 0),__decorate([observable],TextArea$1.prototype,"defaultSlottedNodes",void 0),applyMixins(TextArea$1,DelegatesARIATextbox);const textAreaTemplate=(S,C)=>html$4`
-    <template
-        class="
-            ${R=>R.readOnly?"readonly":""}
-            ${R=>R.resize!==TextAreaResize.none?`resize-${R.resize}`:""}"
-    >
-        <label
-            part="label"
-            for="control"
-            class="${R=>R.defaultSlottedNodes&&R.defaultSlottedNodes.length?"label":"label label__hidden"}"
-        >
-            <slot ${slotted("defaultSlottedNodes")}></slot>
-        </label>
-        <textarea
-            part="control"
-            class="control"
-            id="control"
-            ?autofocus="${R=>R.autofocus}"
-            cols="${R=>R.cols}"
-            ?disabled="${R=>R.disabled}"
-            form="${R=>R.form}"
-            list="${R=>R.list}"
-            maxlength="${R=>R.maxlength}"
-            minlength="${R=>R.minlength}"
-            name="${R=>R.name}"
-            placeholder="${R=>R.placeholder}"
-            ?readonly="${R=>R.readOnly}"
-            ?required="${R=>R.required}"
-            rows="${R=>R.rows}"
-            ?spellcheck="${R=>R.spellcheck}"
-            :value="${R=>R.value}"
-            aria-atomic="${R=>R.ariaAtomic}"
-            aria-busy="${R=>R.ariaBusy}"
-            aria-controls="${R=>R.ariaControls}"
-            aria-current="${R=>R.ariaCurrent}"
-            aria-describedby="${R=>R.ariaDescribedby}"
-            aria-details="${R=>R.ariaDetails}"
-            aria-disabled="${R=>R.ariaDisabled}"
-            aria-errormessage="${R=>R.ariaErrormessage}"
-            aria-flowto="${R=>R.ariaFlowto}"
-            aria-haspopup="${R=>R.ariaHaspopup}"
-            aria-hidden="${R=>R.ariaHidden}"
-            aria-invalid="${R=>R.ariaInvalid}"
-            aria-keyshortcuts="${R=>R.ariaKeyshortcuts}"
-            aria-label="${R=>R.ariaLabel}"
-            aria-labelledby="${R=>R.ariaLabelledby}"
-            aria-live="${R=>R.ariaLive}"
-            aria-owns="${R=>R.ariaOwns}"
-            aria-relevant="${R=>R.ariaRelevant}"
-            aria-roledescription="${R=>R.ariaRoledescription}"
-            @input="${(R,O)=>R.handleTextInput()}"
-            @change="${R=>R.handleChange()}"
-            ${ref("control")}
-        ></textarea>
-    </template>
-`,textFieldTemplate=(S,C)=>html$4`
-    <template
-        class="
-            ${R=>R.readOnly?"readonly":""}
-        "
-    >
-        <label
-            part="label"
-            for="control"
-            class="${R=>R.defaultSlottedNodes&&R.defaultSlottedNodes.length?"label":"label label__hidden"}"
-        >
-            <slot
-                ${slotted({property:"defaultSlottedNodes",filter:whitespaceFilter})}
-            ></slot>
-        </label>
-        <div class="root" part="root">
-            ${startSlotTemplate(S,C)}
-            <input
-                class="control"
-                part="control"
-                id="control"
-                @input="${R=>R.handleTextInput()}"
-                @change="${R=>R.handleChange()}"
-                ?autofocus="${R=>R.autofocus}"
-                ?disabled="${R=>R.disabled}"
-                list="${R=>R.list}"
-                maxlength="${R=>R.maxlength}"
-                minlength="${R=>R.minlength}"
-                pattern="${R=>R.pattern}"
-                placeholder="${R=>R.placeholder}"
-                ?readonly="${R=>R.readOnly}"
-                ?required="${R=>R.required}"
-                size="${R=>R.size}"
-                ?spellcheck="${R=>R.spellcheck}"
-                :value="${R=>R.value}"
-                type="${R=>R.type}"
-                aria-atomic="${R=>R.ariaAtomic}"
-                aria-busy="${R=>R.ariaBusy}"
-                aria-controls="${R=>R.ariaControls}"
-                aria-current="${R=>R.ariaCurrent}"
-                aria-describedby="${R=>R.ariaDescribedby}"
-                aria-details="${R=>R.ariaDetails}"
-                aria-disabled="${R=>R.ariaDisabled}"
-                aria-errormessage="${R=>R.ariaErrormessage}"
-                aria-flowto="${R=>R.ariaFlowto}"
-                aria-haspopup="${R=>R.ariaHaspopup}"
-                aria-hidden="${R=>R.ariaHidden}"
-                aria-invalid="${R=>R.ariaInvalid}"
-                aria-keyshortcuts="${R=>R.ariaKeyshortcuts}"
-                aria-label="${R=>R.ariaLabel}"
-                aria-labelledby="${R=>R.ariaLabelledby}"
-                aria-live="${R=>R.ariaLive}"
-                aria-owns="${R=>R.ariaOwns}"
-                aria-relevant="${R=>R.ariaRelevant}"
-                aria-roledescription="${R=>R.ariaRoledescription}"
-                ${ref("control")}
-            />
-            ${endSlotTemplate(S,C)}
-        </div>
-    </template>
-`,disabledCursor="not-allowed",hidden=":host([hidden]){display:none}";function display(S){return`${hidden}:host{display:${S}}`}const focusVisible=canUseFocusVisible()?"focus-visible":"focus",reservedReactProperties=new Set(["children","localName","ref","style","className"]),emptyProps=Object.freeze(Object.create(null)),DEFAULT_CACHE_NAME="_default",wrappersCache=new Map;function setRef(S,C){typeof S=="function"?S(C):S.current=C}function getTagName(S,C){if(!C.name){const R=FASTElementDefinition.forType(S);if(R)C.name=R.name;else throw new Error("React wrappers must wrap a FASTElement or be configured with a name.")}return C.name}function getElementEvents(S){return S.events||(S.events={})}function keyIsValid(S,C,R){return reservedReactProperties.has(R)?(console.warn(`${getTagName(S,C)} contains property ${R} which is a React reserved property. It will be used by React and not set on the element.`),!1):!0}function getElementKeys(S,C){if(!C.keys)if(C.properties)C.keys=new Set(C.properties.concat(Object.keys(getElementEvents(C))));else{const R=new Set(Object.keys(getElementEvents(C))),O=Observable$1.getAccessors(S.prototype);if(O.length>0)for(const I of O)keyIsValid(S,C,I.name)&&R.add(I.name);else for(const I in S.prototype)!(I in HTMLElement.prototype)&&keyIsValid(S,C,I)&&R.add(I);C.keys=R}return C.keys}function provideReactWrapper(S,C){let R=[];const O={register(N,...L){R.forEach(B=>B.register(N,...L)),R=[]}};function I(N,L={}){var B,j;N instanceof FoundationElementRegistry&&(C?C.register(N):R.push(N),N=N.type);const F=wrappersCache.get(N);if(F){const W=F.get((B=L.name)!==null&&B!==void 0?B:DEFAULT_CACHE_NAME);if(W)return W}class V extends S.Component{constructor(){super(...arguments),this._element=null}_updateElement(X){const J=this._element;if(J===null)return;const oe=this.props,pe=X||emptyProps,me=getElementEvents(L);for(const xe in this._elementProps){const Ae=oe[xe],ge=me[xe];if(ge===void 0)J[xe]=Ae;else{const Te=pe[xe];if(Ae===Te)continue;Te!==void 0&&J.removeEventListener(ge,Te),Ae!==void 0&&J.addEventListener(ge,Ae)}}}componentDidMount(){this._updateElement()}componentDidUpdate(X){this._updateElement(X)}render(){const X=this.props.__forwardedRef;(this._ref===void 0||this._userRef!==X)&&(this._ref=xe=>{this._element===null&&(this._element=xe),X!==null&&setRef(X,xe),this._userRef=X});const J={ref:this._ref},oe=this._elementProps={},pe=getElementKeys(N,L),me=this.props;for(const xe in me){const Ae=me[xe];pe.has(xe)?oe[xe]=Ae:J[xe==="className"?"class":xe]=Ae}return S.createElement(getTagName(N,L),J)}}const K=S.forwardRef((W,X)=>S.createElement(V,Object.assign(Object.assign({},W),{__forwardedRef:X}),W==null?void 0:W.children));return wrappersCache.has(N)||wrappersCache.set(N,new Map),wrappersCache.get(N).set((j=L.name)!==null&&j!==void 0?j:DEFAULT_CACHE_NAME,K),K}return{wrap:I,registry:O}}function provideVSCodeDesignSystem(S){return DesignSystem.getOrCreate(S).withPrefix("vscode")}function initThemeChangeListener(S){window.addEventListener("load",()=>{new MutationObserver(()=>{applyCurrentTheme(S)}).observe(document.body,{attributes:!0,attributeFilter:["class"]}),applyCurrentTheme(S)})}function applyCurrentTheme(S){const C=getComputedStyle(document.body),R=document.querySelector("body");if(R){const O=R.getAttribute("data-vscode-theme-kind");for(const[I,N]of S){let L=C.getPropertyValue(I).toString();if(O==="vscode-high-contrast")L.length===0&&N.name.includes("background")&&(L="transparent"),N.name==="button-icon-hover-background"&&(L="transparent");else if(O==="vscode-high-contrast-light"){if(L.length===0&&N.name.includes("background"))switch(N.name){case"button-primary-hover-background":L="#0F4A85";break;case"button-secondary-hover-background":L="transparent";break;case"button-icon-hover-background":L="transparent";break}}else N.name==="contrast-active-border"&&(L="transparent");N.setValueFor(R,L)}}}const tokenMappings=new Map;let isThemeListenerInitialized=!1;function create$4(S,C){const R=DesignToken.create(S);if(C){if(C.includes("--fake-vscode-token")){const O="id"+Math.random().toString(16).slice(2);C=`${C}-${O}`}tokenMappings.set(C,R)}return isThemeListenerInitialized||(initThemeChangeListener(tokenMappings),isThemeListenerInitialized=!0),R}const background=create$4("background","--vscode-editor-background").withDefault("#1e1e1e"),borderWidth=create$4("border-width").withDefault(1),contrastActiveBorder=create$4("contrast-active-border","--vscode-contrastActiveBorder").withDefault("#f38518");create$4("contrast-border","--vscode-contrastBorder").withDefault("#6fc3df");const cornerRadius=create$4("corner-radius").withDefault(0),cornerRadiusRound=create$4("corner-radius-round").withDefault(2),designUnit=create$4("design-unit").withDefault(4),disabledOpacity=create$4("disabled-opacity").withDefault(.4),focusBorder=create$4("focus-border","--vscode-focusBorder").withDefault("#007fd4"),fontFamily=create$4("font-family","--vscode-font-family").withDefault("-apple-system, BlinkMacSystemFont, Segoe UI, Roboto, Helvetica, Arial, sans-serif, Apple Color Emoji, Segoe UI Emoji, Segoe UI Symbol");create$4("font-weight","--vscode-font-weight").withDefault("400");const foreground=create$4("foreground","--vscode-foreground").withDefault("#cccccc"),inputHeight=create$4("input-height").withDefault("26"),inputMinWidth=create$4("input-min-width").withDefault("100px"),typeRampBaseFontSize=create$4("type-ramp-base-font-size","--vscode-font-size").withDefault("13px"),typeRampBaseLineHeight=create$4("type-ramp-base-line-height").withDefault("normal"),typeRampMinus1FontSize=create$4("type-ramp-minus1-font-size").withDefault("11px"),typeRampMinus1LineHeight=create$4("type-ramp-minus1-line-height").withDefault("16px");create$4("type-ramp-minus2-font-size").withDefault("9px"),create$4("type-ramp-minus2-line-height").withDefault("16px"),create$4("type-ramp-plus1-font-size").withDefault("16px"),create$4("type-ramp-plus1-line-height").withDefault("24px");const scrollbarWidth=create$4("scrollbarWidth").withDefault("10px"),scrollbarHeight=create$4("scrollbarHeight").withDefault("10px"),scrollbarSliderBackground=create$4("scrollbar-slider-background","--vscode-scrollbarSlider-background").withDefault("#79797966"),scrollbarSliderHoverBackground=create$4("scrollbar-slider-hover-background","--vscode-scrollbarSlider-hoverBackground").withDefault("#646464b3"),scrollbarSliderActiveBackground=create$4("scrollbar-slider-active-background","--vscode-scrollbarSlider-activeBackground").withDefault("#bfbfbf66"),badgeBackground=create$4("badge-background","--vscode-badge-background").withDefault("#4d4d4d"),badgeForeground=create$4("badge-foreground","--vscode-badge-foreground").withDefault("#ffffff"),buttonBorder=create$4("button-border","--vscode-button-border").withDefault("transparent"),buttonIconBackground=create$4("button-icon-background").withDefault("transparent"),buttonIconCornerRadius=create$4("button-icon-corner-radius").withDefault("5px"),buttonIconFocusBorderOffset=create$4("button-icon-outline-offset").withDefault(0),buttonIconHoverBackground=create$4("button-icon-hover-background","--fake-vscode-token").withDefault("rgba(90, 93, 94, 0.31)"),buttonIconPadding=create$4("button-icon-padding").withDefault("3px"),buttonPrimaryBackground=create$4("button-primary-background","--vscode-button-background").withDefault("#0e639c"),buttonPrimaryForeground=create$4("button-primary-foreground","--vscode-button-foreground").withDefault("#ffffff"),buttonPrimaryHoverBackground=create$4("button-primary-hover-background","--vscode-button-hoverBackground").withDefault("#1177bb"),buttonSecondaryBackground=create$4("button-secondary-background","--vscode-button-secondaryBackground").withDefault("#3a3d41"),buttonSecondaryForeground=create$4("button-secondary-foreground","--vscode-button-secondaryForeground").withDefault("#ffffff"),buttonSecondaryHoverBackground=create$4("button-secondary-hover-background","--vscode-button-secondaryHoverBackground").withDefault("#45494e"),buttonPaddingHorizontal=create$4("button-padding-horizontal").withDefault("11px"),buttonPaddingVertical=create$4("button-padding-vertical").withDefault("4px"),checkboxBackground=create$4("checkbox-background","--vscode-checkbox-background").withDefault("#3c3c3c"),checkboxBorder=create$4("checkbox-border","--vscode-checkbox-border").withDefault("#3c3c3c"),checkboxCornerRadius=create$4("checkbox-corner-radius").withDefault(3);create$4("checkbox-foreground","--vscode-checkbox-foreground").withDefault("#f0f0f0");const listActiveSelectionBackground=create$4("list-active-selection-background","--vscode-list-activeSelectionBackground").withDefault("#094771"),listActiveSelectionForeground=create$4("list-active-selection-foreground","--vscode-list-activeSelectionForeground").withDefault("#ffffff"),listHoverBackground=create$4("list-hover-background","--vscode-list-hoverBackground").withDefault("#2a2d2e"),dividerBackground=create$4("divider-background","--vscode-settings-dropdownListBorder").withDefault("#454545"),dropdownBackground=create$4("dropdown-background","--vscode-dropdown-background").withDefault("#3c3c3c"),dropdownBorder=create$4("dropdown-border","--vscode-dropdown-border").withDefault("#3c3c3c");create$4("dropdown-foreground","--vscode-dropdown-foreground").withDefault("#f0f0f0");const dropdownListMaxHeight=create$4("dropdown-list-max-height").withDefault("200px"),inputBackground=create$4("input-background","--vscode-input-background").withDefault("#3c3c3c"),inputForeground=create$4("input-foreground","--vscode-input-foreground").withDefault("#cccccc");create$4("input-placeholder-foreground","--vscode-input-placeholderForeground").withDefault("#cccccc");const linkActiveForeground=create$4("link-active-foreground","--vscode-textLink-activeForeground").withDefault("#3794ff"),linkForeground=create$4("link-foreground","--vscode-textLink-foreground").withDefault("#3794ff"),progressBackground=create$4("progress-background","--vscode-progressBar-background").withDefault("#0e70c0"),panelTabActiveBorder=create$4("panel-tab-active-border","--vscode-panelTitle-activeBorder").withDefault("#e7e7e7"),panelTabActiveForeground=create$4("panel-tab-active-foreground","--vscode-panelTitle-activeForeground").withDefault("#e7e7e7"),panelTabForeground=create$4("panel-tab-foreground","--vscode-panelTitle-inactiveForeground").withDefault("#e7e7e799");create$4("panel-view-background","--vscode-panel-background").withDefault("#1e1e1e"),create$4("panel-view-border","--vscode-panel-border").withDefault("#80808059");const tagCornerRadius=create$4("tag-corner-radius").withDefault("2px"),badgeStyles=(S,C)=>css$1`
-	${display("inline-block")} :host {
-		box-sizing: border-box;
-		font-family: ${fontFamily};
-		font-size: ${typeRampMinus1FontSize};
-		line-height: ${typeRampMinus1LineHeight};
-		text-align: center;
-	}
-	.control {
-		align-items: center;
-		background-color: ${badgeBackground};
-		border: calc(${borderWidth} * 1px) solid ${buttonBorder};
-		border-radius: 11px;
-		box-sizing: border-box;
-		color: ${badgeForeground};
-		display: flex;
-		height: calc(${designUnit} * 4px);
-		justify-content: center;
-		min-width: calc(${designUnit} * 4px + 2px);
-		min-height: calc(${designUnit} * 4px + 2px);
-		padding: 3px 6px;
-	}
-`;class Badge extends Badge$1{connectedCallback(){super.connectedCallback(),this.circular||(this.circular=!0)}}const vsCodeBadge=Badge.compose({baseName:"badge",template:badgeTemplate,styles:badgeStyles}),BaseButtonStyles=css$1`
-	${display("inline-flex")} :host {
-		outline: none;
-		font-family: ${fontFamily};
-		font-size: ${typeRampBaseFontSize};
-		line-height: ${typeRampBaseLineHeight};
-		color: ${buttonPrimaryForeground};
-		background: ${buttonPrimaryBackground};
-		border-radius: calc(${cornerRadiusRound} * 1px);
-		fill: currentColor;
-		cursor: pointer;
-	}
-	.control {
-		background: transparent;
-		height: inherit;
-		flex-grow: 1;
-		box-sizing: border-box;
-		display: inline-flex;
-		justify-content: center;
-		align-items: center;
-		padding: ${buttonPaddingVertical} ${buttonPaddingHorizontal};
-		white-space: wrap;
-		outline: none;
-		text-decoration: none;
-		border: calc(${borderWidth} * 1px) solid ${buttonBorder};
-		color: inherit;
-		border-radius: inherit;
-		fill: inherit;
-		cursor: inherit;
-		font-family: inherit;
-	}
-	:host(:hover) {
-		background: ${buttonPrimaryHoverBackground};
-	}
-	:host(:active) {
-		background: ${buttonPrimaryBackground};
-	}
-	.control:${focusVisible} {
-		outline: calc(${borderWidth} * 1px) solid ${focusBorder};
-		outline-offset: calc(${borderWidth} * 2px);
-	}
-	.control::-moz-focus-inner {
-		border: 0;
-	}
-	:host([disabled]) {
-		opacity: ${disabledOpacity};
-		background: ${buttonPrimaryBackground};
-		cursor: ${disabledCursor};
-	}
-	.content {
-		display: flex;
-	}
-	.start {
-		display: flex;
-	}
-	::slotted(svg),
-	::slotted(span) {
-		width: calc(${designUnit} * 4px);
-		height: calc(${designUnit} * 4px);
-	}
-	.start {
-		margin-inline-end: 8px;
-	}
-`,PrimaryButtonStyles=css$1`
-	:host([appearance='primary']) {
-		background: ${buttonPrimaryBackground};
-		color: ${buttonPrimaryForeground};
-	}
-	:host([appearance='primary']:hover) {
-		background: ${buttonPrimaryHoverBackground};
-	}
-	:host([appearance='primary']:active) .control:active {
-		background: ${buttonPrimaryBackground};
-	}
-	:host([appearance='primary']) .control:${focusVisible} {
-		outline: calc(${borderWidth} * 1px) solid ${focusBorder};
-		outline-offset: calc(${borderWidth} * 2px);
-	}
-	:host([appearance='primary'][disabled]) {
-		background: ${buttonPrimaryBackground};
-	}
-`,SecondaryButtonStyles=css$1`
-	:host([appearance='secondary']) {
-		background: ${buttonSecondaryBackground};
-		color: ${buttonSecondaryForeground};
-	}
-	:host([appearance='secondary']:hover) {
-		background: ${buttonSecondaryHoverBackground};
-	}
-	:host([appearance='secondary']:active) .control:active {
-		background: ${buttonSecondaryBackground};
-	}
-	:host([appearance='secondary']) .control:${focusVisible} {
-		outline: calc(${borderWidth} * 1px) solid ${focusBorder};
-		outline-offset: calc(${borderWidth} * 2px);
-	}
-	:host([appearance='secondary'][disabled]) {
-		background: ${buttonSecondaryBackground};
-	}
-`,IconButtonStyles=css$1`
-	:host([appearance='icon']) {
-		background: ${buttonIconBackground};
-		border-radius: ${buttonIconCornerRadius};
-		color: ${foreground};
-	}
-	:host([appearance='icon']:hover) {
-		background: ${buttonIconHoverBackground};
-		outline: 1px dotted ${contrastActiveBorder};
-		outline-offset: -1px;
-	}
-	:host([appearance='icon']) .control {
-		padding: ${buttonIconPadding};
-		border: none;
-	}
-	:host([appearance='icon']:active) .control:active {
-		background: ${buttonIconHoverBackground};
-	}
-	:host([appearance='icon']) .control:${focusVisible} {
-		outline: calc(${borderWidth} * 1px) solid ${focusBorder};
-		outline-offset: ${buttonIconFocusBorderOffset};
-	}
-	:host([appearance='icon'][disabled]) {
-		background: ${buttonIconBackground};
-	}
-`,buttonStyles=(S,C)=>css$1`
-	${BaseButtonStyles}
-	${PrimaryButtonStyles}
-	${SecondaryButtonStyles}
-	${IconButtonStyles}
-`;class Button extends Button$1{connectedCallback(){if(super.connectedCallback(),!this.appearance){const C=this.getAttribute("appearance");this.appearance=C}}attributeChangedCallback(C,R,O){C==="appearance"&&O==="icon"&&(this.getAttribute("aria-label")||(this.ariaLabel="Icon Button")),C==="aria-label"&&(this.ariaLabel=O),C==="disabled"&&(this.disabled=O!==null)}}__decorate$1([attr],Button.prototype,"appearance",void 0);const vsCodeButton=Button.compose({baseName:"button",template:buttonTemplate,styles:buttonStyles,shadowOptions:{delegatesFocus:!0}}),checkboxStyles=(S,C)=>css$1`
-	${display("inline-flex")} :host {
-		align-items: center;
-		outline: none;
-		margin: calc(${designUnit} * 1px) 0;
-		user-select: none;
-		font-size: ${typeRampBaseFontSize};
-		line-height: ${typeRampBaseLineHeight};
-	}
-	.control {
-		position: relative;
-		width: calc(${designUnit} * 4px + 2px);
-		height: calc(${designUnit} * 4px + 2px);
-		box-sizing: border-box;
-		border-radius: calc(${checkboxCornerRadius} * 1px);
-		border: calc(${borderWidth} * 1px) solid ${checkboxBorder};
-		background: ${checkboxBackground};
-		outline: none;
-		cursor: pointer;
-	}
-	.label {
-		font-family: ${fontFamily};
-		color: ${foreground};
-		padding-inline-start: calc(${designUnit} * 2px + 2px);
-		margin-inline-end: calc(${designUnit} * 2px + 2px);
-		cursor: pointer;
-	}
-	.label__hidden {
-		display: none;
-		visibility: hidden;
-	}
-	.checked-indicator {
-		width: 100%;
-		height: 100%;
-		display: block;
-		fill: ${foreground};
-		opacity: 0;
-		pointer-events: none;
-	}
-	.indeterminate-indicator {
-		border-radius: 2px;
-		background: ${foreground};
-		position: absolute;
-		top: 50%;
-		left: 50%;
-		width: 50%;
-		height: 50%;
-		transform: translate(-50%, -50%);
-		opacity: 0;
-	}
-	:host(:enabled) .control:hover {
-		background: ${checkboxBackground};
-		border-color: ${checkboxBorder};
-	}
-	:host(:enabled) .control:active {
-		background: ${checkboxBackground};
-		border-color: ${focusBorder};
-	}
-	:host(:${focusVisible}) .control {
-		border: calc(${borderWidth} * 1px) solid ${focusBorder};
-	}
-	:host(.disabled) .label,
-	:host(.readonly) .label,
-	:host(.readonly) .control,
-	:host(.disabled) .control {
-		cursor: ${disabledCursor};
-	}
-	:host(.checked:not(.indeterminate)) .checked-indicator,
-	:host(.indeterminate) .indeterminate-indicator {
-		opacity: 1;
-	}
-	:host(.disabled) {
-		opacity: ${disabledOpacity};
-	}
-`;class Checkbox extends Checkbox$1{connectedCallback(){super.connectedCallback(),this.textContent?this.setAttribute("aria-label",this.textContent):this.setAttribute("aria-label","Checkbox")}}const vsCodeCheckbox=Checkbox.compose({baseName:"checkbox",template:checkboxTemplate,styles:checkboxStyles,checkedIndicator:`
-		<svg 
-			part="checked-indicator"
-			class="checked-indicator"
-			width="16" 
-			height="16" 
-			viewBox="0 0 16 16" 
-			xmlns="http://www.w3.org/2000/svg" 
-			fill="currentColor"
-		>
-			<path 
-				fill-rule="evenodd" 
-				clip-rule="evenodd" 
-				d="M14.431 3.323l-8.47 10-.79-.036-3.35-4.77.818-.574 2.978 4.24 8.051-9.506.764.646z"
-			/>
-		</svg>
-	`,indeterminateIndicator:`
-		<div part="indeterminate-indicator" class="indeterminate-indicator"></div>
-	`}),dataGridStyles=(S,C)=>css$1`
-	:host {
-		display: flex;
-		position: relative;
-		flex-direction: column;
-		width: 100%;
-	}
-`,dataGridRowStyles=(S,C)=>css$1`
-	:host {
-		display: grid;
-		padding: calc((${designUnit} / 4) * 1px) 0;
-		box-sizing: border-box;
-		width: 100%;
-		background: transparent;
-	}
-	:host(.header) {
-	}
-	:host(.sticky-header) {
-		background: ${background};
-		position: sticky;
-		top: 0;
-	}
-	:host(:hover) {
-		background: ${listHoverBackground};
-		outline: 1px dotted ${contrastActiveBorder};
-		outline-offset: -1px;
-	}
-`,dataGridCellStyles=(S,C)=>css$1`
-	:host {
-		padding: calc(${designUnit} * 1px) calc(${designUnit} * 3px);
-		color: ${foreground};
-		opacity: 1;
-		box-sizing: border-box;
-		font-family: ${fontFamily};
-		font-size: ${typeRampBaseFontSize};
-		line-height: ${typeRampBaseLineHeight};
-		font-weight: 400;
-		border: solid calc(${borderWidth} * 1px) transparent;
-		border-radius: calc(${cornerRadius} * 1px);
-		white-space: wrap;
-		overflow-wrap: anywhere;
-	}
-	:host(.column-header) {
-		font-weight: 600;
-	}
-	:host(:${focusVisible}),
-	:host(:focus),
-	:host(:active) {
-		background: ${listActiveSelectionBackground};
-		border: solid calc(${borderWidth} * 1px) ${focusBorder};
-		color: ${listActiveSelectionForeground};
-		outline: none;
-	}
-	:host(:${focusVisible}) ::slotted(*),
-	:host(:focus) ::slotted(*),
-	:host(:active) ::slotted(*) {
-		color: ${listActiveSelectionForeground} !important;
-	}
-`;class DataGrid extends DataGrid$1{connectedCallback(){super.connectedCallback(),this.getAttribute("aria-label")||this.setAttribute("aria-label","Data Grid")}}const vsCodeDataGrid=DataGrid.compose({baseName:"data-grid",baseClass:DataGrid$1,template:dataGridTemplate,styles:dataGridStyles});class DataGridRow extends DataGridRow$1{}const vsCodeDataGridRow=DataGridRow.compose({baseName:"data-grid-row",baseClass:DataGridRow$1,template:dataGridRowTemplate,styles:dataGridRowStyles});class DataGridCell extends DataGridCell$1{}const vsCodeDataGridCell=DataGridCell.compose({baseName:"data-grid-cell",baseClass:DataGridCell$1,template:dataGridCellTemplate,styles:dataGridCellStyles}),dividerStyles=(S,C)=>css$1`
-	${display("block")} :host {
-		border: none;
-		border-top: calc(${borderWidth} * 1px) solid ${dividerBackground};
-		box-sizing: content-box;
-		height: 0;
-		margin: calc(${designUnit} * 1px) 0;
-		width: 100%;
-	}
-`;class Divider extends Divider$1{}const vsCodeDivider=Divider.compose({baseName:"divider",template:dividerTemplate,styles:dividerStyles}),dropdownStyles=(S,C)=>css$1`
-	${display("inline-flex")} :host {
-		background: ${dropdownBackground};
-		border-radius: calc(${cornerRadiusRound} * 1px);
-		box-sizing: border-box;
-		color: ${foreground};
-		contain: contents;
-		font-family: ${fontFamily};
-		height: calc(${inputHeight} * 1px);
-		position: relative;
-		user-select: none;
-		min-width: ${inputMinWidth};
-		outline: none;
-		vertical-align: top;
-	}
-	.control {
-		align-items: center;
-		box-sizing: border-box;
-		border: calc(${borderWidth} * 1px) solid ${dropdownBorder};
-		border-radius: calc(${cornerRadiusRound} * 1px);
-		cursor: pointer;
-		display: flex;
-		font-family: inherit;
-		font-size: ${typeRampBaseFontSize};
-		line-height: ${typeRampBaseLineHeight};
-		min-height: 100%;
-		padding: 2px 6px 2px 8px;
-		width: 100%;
-	}
-	.listbox {
-		background: ${dropdownBackground};
-		border: calc(${borderWidth} * 1px) solid ${focusBorder};
-		border-radius: calc(${cornerRadiusRound} * 1px);
-		box-sizing: border-box;
-		display: inline-flex;
-		flex-direction: column;
-		left: 0;
-		max-height: ${dropdownListMaxHeight};
-		padding: 0;
-		overflow-y: auto;
-		position: absolute;
-		width: 100%;
-		z-index: 1;
-	}
-	.listbox[hidden] {
-		display: none;
-	}
-	:host(:${focusVisible}) .control {
-		border-color: ${focusBorder};
-	}
-	:host(:not([disabled]):hover) {
-		background: ${dropdownBackground};
-		border-color: ${dropdownBorder};
-	}
-	:host(:${focusVisible}) ::slotted([aria-selected="true"][role="option"]:not([disabled])) {
-		background: ${listActiveSelectionBackground};
-		border: calc(${borderWidth} * 1px) solid transparent;
-		color: ${listActiveSelectionForeground};
-	}
-	:host([disabled]) {
-		cursor: ${disabledCursor};
-		opacity: ${disabledOpacity};
-	}
-	:host([disabled]) .control {
-		cursor: ${disabledCursor};
-		user-select: none;
-	}
-	:host([disabled]:hover) {
-		background: ${dropdownBackground};
-		color: ${foreground};
-		fill: currentcolor;
-	}
-	:host(:not([disabled])) .control:active {
-		border-color: ${focusBorder};
-	}
-	:host(:empty) .listbox {
-		display: none;
-	}
-	:host([open]) .control {
-		border-color: ${focusBorder};
-	}
-	:host([open][position='above']) .listbox {
-		border-bottom-left-radius: 0;
-		border-bottom-right-radius: 0;
-	}
-	:host([open][position='below']) .listbox {
-		border-top-left-radius: 0;
-		border-top-right-radius: 0;
-	}
-	:host([open][position='above']) .listbox {
-		bottom: calc(${inputHeight} * 1px);
-	}
-	:host([open][position='below']) .listbox {
-		top: calc(${inputHeight} * 1px);
-	}
-	.selected-value {
-		flex: 1 1 auto;
-		font-family: inherit;
-		overflow: hidden;
-		text-align: start;
-		text-overflow: ellipsis;
-		white-space: nowrap;
-	}
-	.indicator {
-		flex: 0 0 auto;
-		margin-inline-start: 1em;
-	}
-	slot[name='listbox'] {
-		display: none;
-		width: 100%;
-	}
-	:host([open]) slot[name='listbox'] {
-		display: flex;
-		position: absolute;
-	}
-	.end {
-		margin-inline-start: auto;
-	}
-	.start,
-	.end,
-	.indicator,
-	.select-indicator,
-	::slotted(svg),
-	::slotted(span) {
-		fill: currentcolor;
-		height: 1em;
-		min-height: calc(${designUnit} * 4px);
-		min-width: calc(${designUnit} * 4px);
-		width: 1em;
-	}
-	::slotted([role='option']),
-	::slotted(option) {
-		flex: 0 0 auto;
-	}
-`;class Dropdown extends Select{}const vsCodeDropdown=Dropdown.compose({baseName:"dropdown",template:selectTemplate,styles:dropdownStyles,indicator:`
-		<svg 
-			class="select-indicator"
-			part="select-indicator"
-			width="16" 
-			height="16" 
-			viewBox="0 0 16 16" 
-			xmlns="http://www.w3.org/2000/svg" 
-			fill="currentColor"
-		>
-			<path 
-				fill-rule="evenodd" 
-				clip-rule="evenodd" 
-				d="M7.976 10.072l4.357-4.357.62.618L8.284 11h-.618L3 6.333l.619-.618 4.357 4.357z"
-			/>
-		</svg>
-	`}),linkStyles=(S,C)=>css$1`
-	${display("inline-flex")} :host {
-		background: transparent;
-		box-sizing: border-box;
-		color: ${linkForeground};
-		cursor: pointer;
-		fill: currentcolor;
-		font-family: ${fontFamily};
-		font-size: ${typeRampBaseFontSize};
-		line-height: ${typeRampBaseLineHeight};
-		outline: none;
-	}
-	.control {
-		background: transparent;
-		border: calc(${borderWidth} * 1px) solid transparent;
-		border-radius: calc(${cornerRadius} * 1px);
-		box-sizing: border-box;
-		color: inherit;
-		cursor: inherit;
-		fill: inherit;
-		font-family: inherit;
-		height: inherit;
-		padding: 0;
-		outline: none;
-		text-decoration: none;
-		word-break: break-word;
-	}
-	.control::-moz-focus-inner {
-		border: 0;
-	}
-	:host(:hover) {
-		color: ${linkActiveForeground};
-	}
-	:host(:hover) .content {
-		text-decoration: underline;
-	}
-	:host(:active) {
-		background: transparent;
-		color: ${linkActiveForeground};
-	}
-	:host(:${focusVisible}) .control,
-	:host(:focus) .control {
-		border: calc(${borderWidth} * 1px) solid ${focusBorder};
-	}
-`;class Link extends Anchor{}const vsCodeLink=Link.compose({baseName:"link",template:anchorTemplate,styles:linkStyles,shadowOptions:{delegatesFocus:!0}}),optionStyles=(S,C)=>css$1`
-	${display("inline-flex")} :host {
-		font-family: var(--body-font);
-		border-radius: ${cornerRadius};
-		border: calc(${borderWidth} * 1px) solid transparent;
-		box-sizing: border-box;
-		color: ${foreground};
-		cursor: pointer;
-		fill: currentcolor;
-		font-size: ${typeRampBaseFontSize};
-		line-height: ${typeRampBaseLineHeight};
-		margin: 0;
-		outline: none;
-		overflow: hidden;
-		padding: 0 calc((${designUnit} / 2) * 1px)
-			calc((${designUnit} / 4) * 1px);
-		user-select: none;
-		white-space: nowrap;
-	}
-	:host(:${focusVisible}) {
-		border-color: ${focusBorder};
-		background: ${listActiveSelectionBackground};
-		color: ${foreground};
-	}
-	:host([aria-selected='true']) {
-		background: ${listActiveSelectionBackground};
-		border: calc(${borderWidth} * 1px) solid transparent;
-		color: ${listActiveSelectionForeground};
-	}
-	:host(:active) {
-		background: ${listActiveSelectionBackground};
-		color: ${listActiveSelectionForeground};
-	}
-	:host(:not([aria-selected='true']):hover) {
-		background: ${listActiveSelectionBackground};
-		border: calc(${borderWidth} * 1px) solid transparent;
-		color: ${listActiveSelectionForeground};
-	}
-	:host(:not([aria-selected='true']):active) {
-		background: ${listActiveSelectionBackground};
-		color: ${foreground};
-	}
-	:host([disabled]) {
-		cursor: ${disabledCursor};
-		opacity: ${disabledOpacity};
-	}
-	:host([disabled]:hover) {
-		background-color: inherit;
-	}
-	.content {
-		grid-column-start: 2;
-		justify-self: start;
-		overflow: hidden;
-		text-overflow: ellipsis;
-	}
-`;let Option$1=class extends ListboxOption{connectedCallback(){super.connectedCallback(),this.textContent?this.setAttribute("aria-label",this.textContent):this.setAttribute("aria-label","Option")}};const vsCodeOption=Option$1.compose({baseName:"option",template:listboxOptionTemplate,styles:optionStyles}),panelsStyles=(S,C)=>css$1`
-	${display("grid")} :host {
-		box-sizing: border-box;
-		font-family: ${fontFamily};
-		font-size: ${typeRampBaseFontSize};
-		line-height: ${typeRampBaseLineHeight};
-		color: ${foreground};
-		grid-template-columns: auto 1fr auto;
-		grid-template-rows: auto 1fr;
-		overflow-x: auto;
-	}
-	.tablist {
-		display: grid;
-		grid-template-rows: auto auto;
-		grid-template-columns: auto;
-		column-gap: calc(${designUnit} * 8px);
-		position: relative;
-		width: max-content;
-		align-self: end;
-		padding: calc(${designUnit} * 1px) calc(${designUnit} * 1px) 0;
-		box-sizing: border-box;
-	}
-	.start,
-	.end {
-		align-self: center;
-	}
-	.activeIndicator {
-		grid-row: 2;
-		grid-column: 1;
-		width: 100%;
-		height: calc((${designUnit} / 4) * 1px);
-		justify-self: center;
-		background: ${panelTabActiveForeground};
-		margin: 0;
-		border-radius: calc(${cornerRadius} * 1px);
-	}
-	.activeIndicatorTransition {
-		transition: transform 0.01s linear;
-	}
-	.tabpanel {
-		grid-row: 2;
-		grid-column-start: 1;
-		grid-column-end: 4;
-		position: relative;
-	}
-`,panelTabStyles=(S,C)=>css$1`
-	${display("inline-flex")} :host {
-		box-sizing: border-box;
-		font-family: ${fontFamily};
-		font-size: ${typeRampBaseFontSize};
-		line-height: ${typeRampBaseLineHeight};
-		height: calc(${designUnit} * 7px);
-		padding: calc(${designUnit} * 1px) 0;
-		color: ${panelTabForeground};
-		fill: currentcolor;
-		border-radius: calc(${cornerRadius} * 1px);
-		border: solid calc(${borderWidth} * 1px) transparent;
-		align-items: center;
-		justify-content: center;
-		grid-row: 1;
-		cursor: pointer;
-	}
-	:host(:hover) {
-		color: ${panelTabActiveForeground};
-		fill: currentcolor;
-	}
-	:host(:active) {
-		color: ${panelTabActiveForeground};
-		fill: currentcolor;
-	}
-	:host([aria-selected='true']) {
-		background: transparent;
-		color: ${panelTabActiveForeground};
-		fill: currentcolor;
-	}
-	:host([aria-selected='true']:hover) {
-		background: transparent;
-		color: ${panelTabActiveForeground};
-		fill: currentcolor;
-	}
-	:host([aria-selected='true']:active) {
-		background: transparent;
-		color: ${panelTabActiveForeground};
-		fill: currentcolor;
-	}
-	:host(:${focusVisible}) {
-		outline: none;
-		border: solid calc(${borderWidth} * 1px) ${panelTabActiveBorder};
-	}
-	:host(:focus) {
-		outline: none;
-	}
-	::slotted(vscode-badge) {
-		margin-inline-start: calc(${designUnit} * 2px);
-	}
-`,panelViewStyles=(S,C)=>css$1`
-	${display("flex")} :host {
-		color: inherit;
-		background-color: transparent;
-		border: solid calc(${borderWidth} * 1px) transparent;
-		box-sizing: border-box;
-		font-size: ${typeRampBaseFontSize};
-		line-height: ${typeRampBaseLineHeight};
-		padding: 10px calc((${designUnit} + 2) * 1px);
-	}
-`;class Panels extends Tabs{connectedCallback(){super.connectedCallback(),this.orientation&&(this.orientation=TabsOrientation.horizontal),this.getAttribute("aria-label")||this.setAttribute("aria-label","Panels")}}const vsCodePanels=Panels.compose({baseName:"panels",template:tabsTemplate,styles:panelsStyles});class PanelTab extends Tab{connectedCallback(){super.connectedCallback(),this.disabled&&(this.disabled=!1),this.textContent&&this.setAttribute("aria-label",this.textContent)}}const vsCodePanelTab=PanelTab.compose({baseName:"panel-tab",template:tabTemplate,styles:panelTabStyles});class PanelView extends TabPanel{}const vsCodePanelView=PanelView.compose({baseName:"panel-view",template:tabPanelTemplate,styles:panelViewStyles}),progressRingStyles=(S,C)=>css$1`
-	${display("flex")} :host {
-		align-items: center;
-		outline: none;
-		height: calc(${designUnit} * 7px);
-		width: calc(${designUnit} * 7px);
-		margin: 0;
-	}
-	.progress {
-		height: 100%;
-		width: 100%;
-	}
-	.background {
-		fill: none;
-		stroke: transparent;
-		stroke-width: calc(${designUnit} / 2 * 1px);
-	}
-	.indeterminate-indicator-1 {
-		fill: none;
-		stroke: ${progressBackground};
-		stroke-width: calc(${designUnit} / 2 * 1px);
-		stroke-linecap: square;
-		transform-origin: 50% 50%;
-		transform: rotate(-90deg);
-		transition: all 0.2s ease-in-out;
-		animation: spin-infinite 2s linear infinite;
-	}
-	@keyframes spin-infinite {
-		0% {
-			stroke-dasharray: 0.01px 43.97px;
-			transform: rotate(0deg);
-		}
-		50% {
-			stroke-dasharray: 21.99px 21.99px;
-			transform: rotate(450deg);
-		}
-		100% {
-			stroke-dasharray: 0.01px 43.97px;
-			transform: rotate(1080deg);
-		}
-	}
-`;class ProgressRing extends BaseProgress{connectedCallback(){super.connectedCallback(),this.paused&&(this.paused=!1),this.setAttribute("aria-label","Loading"),this.setAttribute("aria-live","assertive"),this.setAttribute("role","alert")}attributeChangedCallback(C,R,O){C==="value"&&this.removeAttribute("value")}}const vsCodeProgressRing=ProgressRing.compose({baseName:"progress-ring",template:progressRingTemplate,styles:progressRingStyles,indeterminateIndicator:`
-		<svg class="progress" part="progress" viewBox="0 0 16 16">
-			<circle
-				class="background"
-				part="background"
-				cx="8px"
-				cy="8px"
-				r="7px"
-			></circle>
-			<circle
-				class="indeterminate-indicator-1"
-				part="indeterminate-indicator-1"
-				cx="8px"
-				cy="8px"
-				r="7px"
-			></circle>
-		</svg>
-	`}),radioGroupStyles=(S,C)=>css$1`
-	${display("flex")} :host {
-		align-items: flex-start;
-		margin: calc(${designUnit} * 1px) 0;
-		flex-direction: column;
-	}
-	.positioning-region {
-		display: flex;
-		flex-wrap: wrap;
-	}
-	:host([orientation='vertical']) .positioning-region {
-		flex-direction: column;
-	}
-	:host([orientation='horizontal']) .positioning-region {
-		flex-direction: row;
-	}
-	::slotted([slot='label']) {
-		color: ${foreground};
-		font-size: ${typeRampBaseFontSize};
-		margin: calc(${designUnit} * 1px) 0;
-	}
-`;class RadioGroup extends RadioGroup$1{connectedCallback(){super.connectedCallback();const C=this.querySelector("label");if(C){const R="radio-group-"+Math.random().toString(16).slice(2);C.setAttribute("id",R),this.setAttribute("aria-labelledby",R)}}}const vsCodeRadioGroup=RadioGroup.compose({baseName:"radio-group",template:radioGroupTemplate,styles:radioGroupStyles}),radioStyles=(S,C)=>css$1`
-	${display("inline-flex")} :host {
-		align-items: center;
-		flex-direction: row;
-		font-size: ${typeRampBaseFontSize};
-		line-height: ${typeRampBaseLineHeight};
-		margin: calc(${designUnit} * 1px) 0;
-		outline: none;
-		position: relative;
-		transition: all 0.2s ease-in-out;
-		user-select: none;
-	}
-	.control {
-		background: ${checkboxBackground};
-		border-radius: 999px;
-		border: calc(${borderWidth} * 1px) solid ${checkboxBorder};
-		box-sizing: border-box;
-		cursor: pointer;
-		height: calc(${designUnit} * 4px);
-		position: relative;
-		outline: none;
-		width: calc(${designUnit} * 4px);
-	}
-	.label {
-		color: ${foreground};
-		cursor: pointer;
-		font-family: ${fontFamily};
-		margin-inline-end: calc(${designUnit} * 2px + 2px);
-		padding-inline-start: calc(${designUnit} * 2px + 2px);
-	}
-	.label__hidden {
-		display: none;
-		visibility: hidden;
-	}
-	.control,
-	.checked-indicator {
-		flex-shrink: 0;
-	}
-	.checked-indicator {
-		background: ${foreground};
-		border-radius: 999px;
-		display: inline-block;
-		inset: calc(${designUnit} * 1px);
-		opacity: 0;
-		pointer-events: none;
-		position: absolute;
-	}
-	:host(:not([disabled])) .control:hover {
-		background: ${checkboxBackground};
-		border-color: ${checkboxBorder};
-	}
-	:host(:not([disabled])) .control:active {
-		background: ${checkboxBackground};
-		border-color: ${focusBorder};
-	}
-	:host(:${focusVisible}) .control {
-		border: calc(${borderWidth} * 1px) solid ${focusBorder};
-	}
-	:host([aria-checked='true']) .control {
-		background: ${checkboxBackground};
-		border: calc(${borderWidth} * 1px) solid ${checkboxBorder};
-	}
-	:host([aria-checked='true']:not([disabled])) .control:hover {
-		background: ${checkboxBackground};
-		border: calc(${borderWidth} * 1px) solid ${checkboxBorder};
-	}
-	:host([aria-checked='true']:not([disabled])) .control:active {
-		background: ${checkboxBackground};
-		border: calc(${borderWidth} * 1px) solid ${focusBorder};
-	}
-	:host([aria-checked="true"]:${focusVisible}:not([disabled])) .control {
-		border: calc(${borderWidth} * 1px) solid ${focusBorder};
-	}
-	:host([disabled]) .label,
-	:host([readonly]) .label,
-	:host([readonly]) .control,
-	:host([disabled]) .control {
-		cursor: ${disabledCursor};
-	}
-	:host([aria-checked='true']) .checked-indicator {
-		opacity: 1;
-	}
-	:host([disabled]) {
-		opacity: ${disabledOpacity};
-	}
-`;class Radio extends Radio$1{connectedCallback(){super.connectedCallback(),this.textContent?this.setAttribute("aria-label",this.textContent):this.setAttribute("aria-label","Radio")}}const vsCodeRadio=Radio.compose({baseName:"radio",template:radioTemplate,styles:radioStyles,checkedIndicator:`
-		<div part="checked-indicator" class="checked-indicator"></div>
-	`}),tagStyles=(S,C)=>css$1`
-	${display("inline-block")} :host {
-		box-sizing: border-box;
-		font-family: ${fontFamily};
-		font-size: ${typeRampMinus1FontSize};
-		line-height: ${typeRampMinus1LineHeight};
-	}
-	.control {
-		background-color: ${badgeBackground};
-		border: calc(${borderWidth} * 1px) solid ${buttonBorder};
-		border-radius: ${tagCornerRadius};
-		color: ${badgeForeground};
-		padding: calc(${designUnit} * 0.5px) calc(${designUnit} * 1px);
-		text-transform: uppercase;
-	}
-`;class Tag extends Badge$1{connectedCallback(){super.connectedCallback(),this.circular&&(this.circular=!1)}}const vsCodeTag=Tag.compose({baseName:"tag",template:badgeTemplate,styles:tagStyles}),textAreaStyles=(S,C)=>css$1`
-	${display("inline-block")} :host {
-		font-family: ${fontFamily};
-		outline: none;
-		user-select: none;
-	}
-	.control {
-		box-sizing: border-box;
-		position: relative;
-		color: ${inputForeground};
-		background: ${inputBackground};
-		border-radius: calc(${cornerRadiusRound} * 1px);
-		border: calc(${borderWidth} * 1px) solid ${dropdownBorder};
-		font: inherit;
-		font-size: ${typeRampBaseFontSize};
-		line-height: ${typeRampBaseLineHeight};
-		padding: calc(${designUnit} * 2px + 1px);
-		width: 100%;
-		min-width: ${inputMinWidth};
-		resize: none;
-	}
-	.control:hover:enabled {
-		background: ${inputBackground};
-		border-color: ${dropdownBorder};
-	}
-	.control:active:enabled {
-		background: ${inputBackground};
-		border-color: ${focusBorder};
-	}
-	.control:hover,
-	.control:${focusVisible},
-	.control:disabled,
-	.control:active {
-		outline: none;
-	}
-	.control::-webkit-scrollbar {
-		width: ${scrollbarWidth};
-		height: ${scrollbarHeight};
-	}
-	.control::-webkit-scrollbar-corner {
-		background: ${inputBackground};
-	}
-	.control::-webkit-scrollbar-thumb {
-		background: ${scrollbarSliderBackground};
-	}
-	.control::-webkit-scrollbar-thumb:hover {
-		background: ${scrollbarSliderHoverBackground};
-	}
-	.control::-webkit-scrollbar-thumb:active {
-		background: ${scrollbarSliderActiveBackground};
-	}
-	:host(:focus-within:not([disabled])) .control {
-		border-color: ${focusBorder};
-	}
-	:host([resize='both']) .control {
-		resize: both;
-	}
-	:host([resize='horizontal']) .control {
-		resize: horizontal;
-	}
-	:host([resize='vertical']) .control {
-		resize: vertical;
-	}
-	.label {
-		display: block;
-		color: ${foreground};
-		cursor: pointer;
-		font-size: ${typeRampBaseFontSize};
-		line-height: ${typeRampBaseLineHeight};
-		margin-bottom: 2px;
-	}
-	.label__hidden {
-		display: none;
-		visibility: hidden;
-	}
-	:host([disabled]) .label,
-	:host([readonly]) .label,
-	:host([readonly]) .control,
-	:host([disabled]) .control {
-		cursor: ${disabledCursor};
-	}
-	:host([disabled]) {
-		opacity: ${disabledOpacity};
-	}
-	:host([disabled]) .control {
-		border-color: ${dropdownBorder};
-	}
-`;class TextArea extends TextArea$1{connectedCallback(){super.connectedCallback(),this.textContent?this.setAttribute("aria-label",this.textContent):this.setAttribute("aria-label","Text area")}}const vsCodeTextArea=TextArea.compose({baseName:"text-area",template:textAreaTemplate,styles:textAreaStyles,shadowOptions:{delegatesFocus:!0}}),textFieldStyles=(S,C)=>css$1`
-	${display("inline-block")} :host {
-		font-family: ${fontFamily};
-		outline: none;
-		user-select: none;
-	}
-	.root {
-		box-sizing: border-box;
-		position: relative;
-		display: flex;
-		flex-direction: row;
-		color: ${inputForeground};
-		background: ${inputBackground};
-		border-radius: calc(${cornerRadiusRound} * 1px);
-		border: calc(${borderWidth} * 1px) solid ${dropdownBorder};
-		height: calc(${inputHeight} * 1px);
-		min-width: ${inputMinWidth};
-	}
-	.control {
-		-webkit-appearance: none;
-		font: inherit;
-		background: transparent;
-		border: 0;
-		color: inherit;
-		height: calc(100% - (${designUnit} * 1px));
-		width: 100%;
-		margin-top: auto;
-		margin-bottom: auto;
-		border: none;
-		padding: 0 calc(${designUnit} * 2px + 1px);
-		font-size: ${typeRampBaseFontSize};
-		line-height: ${typeRampBaseLineHeight};
-	}
-	.control:hover,
-	.control:${focusVisible},
-	.control:disabled,
-	.control:active {
-		outline: none;
-	}
-	.label {
-		display: block;
-		color: ${foreground};
-		cursor: pointer;
-		font-size: ${typeRampBaseFontSize};
-		line-height: ${typeRampBaseLineHeight};
-		margin-bottom: 2px;
-	}
-	.label__hidden {
-		display: none;
-		visibility: hidden;
-	}
-	.start,
-	.end {
-		display: flex;
-		margin: auto;
-		fill: currentcolor;
-	}
-	::slotted(svg),
-	::slotted(span) {
-		width: calc(${designUnit} * 4px);
-		height: calc(${designUnit} * 4px);
-	}
-	.start {
-		margin-inline-start: calc(${designUnit} * 2px);
-	}
-	.end {
-		margin-inline-end: calc(${designUnit} * 2px);
-	}
-	:host(:hover:not([disabled])) .root {
-		background: ${inputBackground};
-		border-color: ${dropdownBorder};
-	}
-	:host(:active:not([disabled])) .root {
-		background: ${inputBackground};
-		border-color: ${focusBorder};
-	}
-	:host(:focus-within:not([disabled])) .root {
-		border-color: ${focusBorder};
-	}
-	:host([disabled]) .label,
-	:host([readonly]) .label,
-	:host([readonly]) .control,
-	:host([disabled]) .control {
-		cursor: ${disabledCursor};
-	}
-	:host([disabled]) {
-		opacity: ${disabledOpacity};
-	}
-	:host([disabled]) .control {
-		border-color: ${dropdownBorder};
-	}
-`;class TextField extends TextField$1{connectedCallback(){super.connectedCallback(),this.textContent?this.setAttribute("aria-label",this.textContent):this.setAttribute("aria-label","Text field")}}const vsCodeTextField=TextField.compose({baseName:"text-field",template:textFieldTemplate,styles:textFieldStyles,shadowOptions:{delegatesFocus:!0}}),{wrap:wrap$1}=provideReactWrapper(React,provideVSCodeDesignSystem());wrap$1(vsCodeBadge(),{name:"vscode-badge"}),wrap$1(vsCodeButton(),{name:"vscode-button"}),wrap$1(vsCodeCheckbox(),{name:"vscode-checkbox",events:{onChange:"change"}}),wrap$1(vsCodeDataGrid(),{name:"vscode-data-grid"}),wrap$1(vsCodeDataGridCell(),{name:"vscode-data-grid-cell"}),wrap$1(vsCodeDataGridRow(),{name:"vscode-data-grid-row"}),wrap$1(vsCodeDivider(),{name:"vscode-divider"}),wrap$1(vsCodeDropdown(),{name:"vscode-dropdown",events:{onChange:"change"}}),wrap$1(vsCodeLink(),{name:"vscode-link"}),wrap$1(vsCodeOption(),{name:"vscode-option"}),wrap$1(vsCodePanels(),{name:"vscode-panels",events:{onChange:"change"}}),wrap$1(vsCodePanelTab(),{name:"vscode-panel-tab"}),wrap$1(vsCodePanelView(),{name:"vscode-panel-view"});const VSCodeProgressRing=wrap$1(vsCodeProgressRing(),{name:"vscode-progress-ring"});wrap$1(vsCodeRadio(),{name:"vscode-radio",events:{onChange:"change"}}),wrap$1(vsCodeRadioGroup(),{name:"vscode-radio-group",events:{onChange:"change"}}),wrap$1(vsCodeTag(),{name:"vscode-tag"}),wrap$1(vsCodeTextArea(),{name:"vscode-text-area",events:{onChange:"change",onInput:"input"}}),wrap$1(vsCodeTextField(),{name:"vscode-text-field",events:{onChange:"change",onInput:"input"}});const Loading=({isFullPage:S=!1,style:C={}})=>{const R=S?{...C,height:"100vh",width:"100%"}:{...C};return jsxRuntimeExports.jsx(Stack$1,{horizontalAlign:"center",verticalAlign:"center",verticalFill:!0,style:R,children:jsxRuntimeExports.jsx(VSCodeProgressRing,{})})};memoizeFunction((S,C)=>mergeStyleSets({root:mergeStyles$1({display:"flex",flexDirection:"row",alignItems:"center",height:"30px",background:"var(--background)",width:"100%",...C&&{position:"fixed",top:0,zIndex:100}},S),buttonGroup:{display:"flex",flexDirection:"row",height:"30px"},searchField:{marginRight:"100px",selectors:{"div.root":{height:"30px"}}}}));var toggleSelection=function(){var S=document.getSelection();if(!S.rangeCount)return function(){};for(var C=document.activeElement,R=[],O=0;O<S.rangeCount;O++)R.push(S.getRangeAt(O));switch(C.tagName.toUpperCase()){case"INPUT":case"TEXTAREA":C.blur();break;default:C=null;break}return 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ge.a.createElement("span",null,ge.a.createElement("span",{style:j(j({},Ue(Ar,"brace").style),{},{cursor:"default"})},"["),ge.a.createElement("span",{style:j(j({},Ue(Ar,"ellipsis").style),{},{cursor:"default"})},"..."),ge.a.createElement("span",{style:j(j({},Ue(Ar,"brace").style),{},{cursor:"default"})},"]"));case"string":return ge.a.createElement(tr,Object.assign({value:vr},Qt));case"integer":return ge.a.createElement(kt,Object.assign({value:vr},Qt));case"float":return ge.a.createElement(Qe,Object.assign({value:vr},Qt));case"boolean":return ge.a.createElement(dt,Object.assign({value:vr},Qt));case"function":return ge.a.createElement(bt,Object.assign({value:vr},Qt));case"null":return ge.a.createElement(Ht,Qt);case"nan":return ge.a.createElement(It,Qt);case"undefined":return ge.a.createElement(wr,Qt);case"date":return ge.a.createElement(gt,Object.assign({value:new Date(vr)},Qt))}},Nt.state={editMode:!1,editValue:"",hovered:!1,renameKey:!1,parsedInput:{type:!1,value:null}},Nt}return K(yt,[{key:"render",value:function(){var Rt=this,Nt=this.props,Yt=Nt.variable,lr=Nt.singleIndent,vr=Nt.type,Qt=Nt.theme,Ar=Nt.namespace,un=Nt.indentWidth,po=Nt.enableClipboard,In=Nt.onEdit,xo=Nt.onDelete,Vn=Nt.onSelect,Ro=Nt.displayArrayKey,Nn=Nt.quotesOnKeys,so=this.state.editMode;return ge.a.createElement("div",Object.assign({},Ue(Qt,"objectKeyVal",{paddingLeft:un*lr}),{onMouseEnter:function(){return Rt.setState(j(j({},Rt.state),{},{hovered:!0}))},onMouseLeave:function(){return Rt.setState(j(j({},Rt.state),{},{hovered:!1}))},className:"variable-row",key:Yt.name}),vr=="array"?Ro?ge.a.createElement("span",Object.assign({},Ue(Qt,"array-key"),{key:Yt.name+"_"+Ar}),Yt.name,ge.a.createElement("div",Ue(Qt,"colon"),":")):null:ge.a.createElement("span",null,ge.a.createElement("span",Object.assign({},Ue(Qt,"object-name"),{className:"object-key",key:Yt.name+"_"+Ar}),!!Nn&&ge.a.createElement("span",{style:{verticalAlign:"top"}},'"'),ge.a.createElement("span",{style:{display:"inline-block"}},Yt.name),!!Nn&&ge.a.createElement("span",{style:{verticalAlign:"top"}},'"')),ge.a.createElement("span",Ue(Qt,"colon"),":")),ge.a.createElement("div",Object.assign({className:"variable-value",onClick:Vn===!1&&In===!1?null:function(Ei){var Ji=$t(Ar);(Ei.ctrlKey||Ei.metaKey)&&In!==!1?Rt.prepopInput(Yt):Vn!==!1&&(Ji.shift(),Vn(j(j({},Yt),{},{namespace:Ji})))}},Ue(Qt,"variableValue",{cursor:Vn===!1?"default":"pointer"})),this.getValue(Yt,so)),po?ge.a.createElement(Ko,{rowHovered:this.state.hovered,hidden:so,src:Yt.value,clickCallback:po,theme:Qt,namespace:[].concat($t(Ar),[Yt.name])}):null,In!==!1&&so==0?this.getEditIcon():null,xo!==!1&&so==0?this.getRemoveIcon():null)}}]),yt}(ge.a.PureComponent),zo=function(St){X(yt,St);var wt=xe(yt);function yt(){var Rt;F(this,yt);for(var Nt=arguments.length,Yt=new Array(Nt),lr=0;lr<Nt;lr++)Yt[lr]=arguments[lr];return(Rt=wt.call.apply(wt,[this].concat(Yt))).getObjectSize=function(){var vr=Rt.props,Qt=vr.size,Ar=vr.theme;if(vr.displayObjectSize)return ge.a.createElement("span",Object.assign({className:"object-size"},Ue(Ar,"object-size")),Qt," item",Qt===1?"":"s")},Rt.getAddAttribute=function(vr){var Qt=Rt.props,Ar=Qt.theme,un=Qt.namespace,po=Qt.name,In=Qt.src,xo=Qt.rjvId,Vn=Qt.depth;return ge.a.createElement("span",{className:"click-to-add",style:{verticalAlign:"top",display:vr?"inline-block":"none"}},ge.a.createElement(Eo,Object.assign({className:"click-to-add-icon"},Ue(Ar,"addVarIcon"),{onClick:function(){var Ro={name:Vn>0?po:null,namespace:un.splice(0,un.length-1),existing_value:In,variable_removed:!1,key_name:null};je(In)==="object"?Gt.dispatch({name:"ADD_VARIABLE_KEY_REQUEST",rjvId:xo,data:Ro}):Gt.dispatch({name:"VARIABLE_ADDED",rjvId:xo,data:j(j({},Ro),{},{new_value:[].concat($t(In),[null])})})}})))},Rt.getRemoveObject=function(vr){var Qt=Rt.props,Ar=Qt.theme,un=(Qt.hover,Qt.namespace),po=Qt.name,In=Qt.src,xo=Qt.rjvId;if(un.length!==1)return ge.a.createElement("span",{className:"click-to-remove",style:{display:vr?"inline-block":"none"}},ge.a.createElement(Zn,Object.assign({className:"click-to-remove-icon"},Ue(Ar,"removeVarIcon"),{onClick:function(){Gt.dispatch({name:"VARIABLE_REMOVED",rjvId:xo,data:{name:po,namespace:un.splice(0,un.length-1),existing_value:In,variable_removed:!0}})}})))},Rt.render=function(){var vr=Rt.props,Qt=vr.theme,Ar=vr.onDelete,un=vr.onAdd,po=vr.enableClipboard,In=vr.src,xo=vr.namespace,Vn=vr.rowHovered;return ge.a.createElement("div",Object.assign({},Ue(Qt,"object-meta-data"),{className:"object-meta-data",onClick:function(Ro){Ro.stopPropagation()}}),Rt.getObjectSize(),po?ge.a.createElement(Ko,{rowHovered:Vn,clickCallback:po,src:In,theme:Qt,namespace:xo}):null,un!==!1?Rt.getAddAttribute(Vn):null,Ar!==!1?Rt.getRemoveObject(Vn):null)},Rt}return yt}(ge.a.PureComponent);function fo(St){var wt=St.parent_type,yt=St.namespace,Rt=St.quotesOnKeys,Nt=St.theme,Yt=St.jsvRoot,lr=St.name,vr=St.displayArrayKey,Qt=St.name?St.name:"";return!Yt||lr!==!1&&lr!==null?wt=="array"?vr?ge.a.createElement("span",Object.assign({},Ue(Nt,"array-key"),{key:yt}),ge.a.createElement("span",{className:"array-key"},Qt),ge.a.createElement("span",Ue(Nt,"colon"),":")):ge.a.createElement("span",null):ge.a.createElement("span",Object.assign({},Ue(Nt,"object-name"),{key:yt}),ge.a.createElement("span",{className:"object-key"},Rt&&ge.a.createElement("span",{style:{verticalAlign:"top"}},'"'),ge.a.createElement("span",null,Qt),Rt&&ge.a.createElement("span",{style:{verticalAlign:"top"}},'"')),ge.a.createElement("span",Ue(Nt,"colon"),":")):ge.a.createElement("span",null)}function Wn(St){var wt=St.theme;switch(St.iconStyle){case"triangle":return ge.a.createElement(hn,Object.assign({},Ue(wt,"expanded-icon"),{className:"expanded-icon"}));case"square":return ge.a.createElement(Or,Object.assign({},Ue(wt,"expanded-icon"),{className:"expanded-icon"}));default:return ge.a.createElement(Rr,Object.assign({},Ue(wt,"expanded-icon"),{className:"expanded-icon"}))}}function wn(St){var wt=St.theme;switch(St.iconStyle){case"triangle":return ge.a.createElement(nn,Object.assign({},Ue(wt,"collapsed-icon"),{className:"collapsed-icon"}));case"square":return ge.a.createElement(Jr,Object.assign({},Ue(wt,"collapsed-icon"),{className:"collapsed-icon"}));default:return ge.a.createElement(fr,Object.assign({},Ue(wt,"collapsed-icon"),{className:"collapsed-icon"}))}}var cn=function(St){X(yt,St);var wt=xe(yt);function yt(Rt){var Nt;return F(this,yt),(Nt=wt.call(this,Rt)).toggleCollapsed=function(Yt){var lr=[];for(var vr in Nt.state.expanded)lr.push(Nt.state.expanded[vr]);lr[Yt]=!lr[Yt],Nt.setState({expanded:lr})},Nt.state={expanded:[]},Nt}return K(yt,[{key:"getExpandedIcon",value:function(Rt){var Nt=this.props,Yt=Nt.theme,lr=Nt.iconStyle;return this.state.expanded[Rt]?ge.a.createElement(Wn,{theme:Yt,iconStyle:lr}):ge.a.createElement(wn,{theme:Yt,iconStyle:lr})}},{key:"render",value:function(){var Rt=this,Nt=this.props,Yt=Nt.src,lr=Nt.groupArraysAfterLength,vr=(Nt.depth,Nt.name),Qt=Nt.theme,Ar=Nt.jsvRoot,un=Nt.namespace,po=(Nt.parent_type,Ie(Nt,["src","groupArraysAfterLength","depth","name","theme","jsvRoot","namespace","parent_type"])),In=0,xo=5*this.props.indentWidth;Ar||(In=5*this.props.indentWidth);var Vn=lr,Ro=Math.ceil(Yt.length/Vn);return ge.a.createElement("div",Object.assign({className:"object-key-val"},Ue(Qt,Ar?"jsv-root":"objectKeyVal",{paddingLeft:In})),ge.a.createElement(fo,this.props),ge.a.createElement("span",null,ge.a.createElement(zo,Object.assign({size:Yt.length},this.props))),$t(Array(Ro)).map(function(Nn,so){return ge.a.createElement("div",Object.assign({key:so,className:"object-key-val array-group"},Ue(Qt,"objectKeyVal",{marginLeft:6,paddingLeft:xo})),ge.a.createElement("span",Ue(Qt,"brace-row"),ge.a.createElement("div",Object.assign({className:"icon-container"},Ue(Qt,"icon-container"),{onClick:function(Ei){Rt.toggleCollapsed(so)}}),Rt.getExpandedIcon(so)),Rt.state.expanded[so]?ge.a.createElement(Go,Object.assign({key:vr+so,depth:0,name:!1,collapsed:!1,groupArraysAfterLength:Vn,index_offset:so*Vn,src:Yt.slice(so*Vn,so*Vn+Vn),namespace:un,type:"array",parent_type:"array_group",theme:Qt},po)):ge.a.createElement("span",Object.assign({},Ue(Qt,"brace"),{onClick:function(Ei){Rt.toggleCollapsed(so)},className:"array-group-brace"}),"[",ge.a.createElement("div",Object.assign({},Ue(Qt,"array-group-meta-data"),{className:"array-group-meta-data"}),ge.a.createElement("span",Object.assign({className:"object-size"},Ue(Qt,"object-size")),so*Vn," - ",so*Vn+Vn>Yt.length?Yt.length:so*Vn+Vn)),"]")))}))}}]),yt}(ge.a.PureComponent),vi=function(St){X(yt,St);var wt=xe(yt);function yt(Rt){var Nt;F(this,yt),(Nt=wt.call(this,Rt)).toggleCollapsed=function(){Nt.setState({expanded:!Nt.state.expanded},function(){Vt.set(Nt.props.rjvId,Nt.props.namespace,"expanded",Nt.state.expanded)})},Nt.getObjectContent=function(lr,vr,Qt){return ge.a.createElement("div",{className:"pushed-content object-container"},ge.a.createElement("div",Object.assign({className:"object-content"},Ue(Nt.props.theme,"pushed-content")),Nt.renderObjectContents(vr,Qt)))},Nt.getEllipsis=function(){return Nt.state.size===0?null:ge.a.createElement("div",Object.assign({},Ue(Nt.props.theme,"ellipsis"),{className:"node-ellipsis",onClick:Nt.toggleCollapsed}),"...")},Nt.getObjectMetaData=function(lr){var vr=Nt.props,Qt=(vr.rjvId,vr.theme,Nt.state),Ar=Qt.size,un=Qt.hovered;return ge.a.createElement(zo,Object.assign({rowHovered:un,size:Ar},Nt.props))},Nt.renderObjectContents=function(lr,vr){var Qt,Ar=Nt.props,un=Ar.depth,po=Ar.parent_type,In=Ar.index_offset,xo=Ar.groupArraysAfterLength,Vn=Ar.namespace,Ro=Nt.state.object_type,Nn=[],so=Object.keys(lr||{});return Nt.props.sortKeys&&Ro!=="array"&&(so=so.sort()),so.forEach(function(Ei){if(Qt=new ca(Ei,lr[Ei]),po==="array_group"&&In&&(Qt.name=parseInt(Qt.name)+In),lr.hasOwnProperty(Ei))if(Qt.type==="object")Nn.push(ge.a.createElement(Go,Object.assign({key:Qt.name,depth:un+1,name:Qt.name,src:Qt.value,namespace:Vn.concat(Qt.name),parent_type:Ro},vr)));else if(Qt.type==="array"){var Ji=Go;xo&&Qt.value.length>xo&&(Ji=cn),Nn.push(ge.a.createElement(Ji,Object.assign({key:Qt.name,depth:un+1,name:Qt.name,src:Qt.value,namespace:Vn.concat(Qt.name),type:"array",parent_type:Ro},vr)))}else Nn.push(ge.a.createElement(ao,Object.assign({key:Qt.name+"_"+Vn,variable:Qt,singleIndent:5,namespace:Vn,type:Nt.props.type},vr)))}),Nn};var Yt=yt.getState(Rt);return Nt.state=j(j({},Yt),{},{prevProps:{}}),Nt}return K(yt,[{key:"getBraceStart",value:function(Rt,Nt){var Yt=this,lr=this.props,vr=lr.src,Qt=lr.theme,Ar=lr.iconStyle;if(lr.parent_type==="array_group")return ge.a.createElement("span",null,ge.a.createElement("span",Ue(Qt,"brace"),Rt==="array"?"[":"{"),Nt?this.getObjectMetaData(vr):null);var un=Nt?Wn:wn;return ge.a.createElement("span",null,ge.a.createElement("span",Object.assign({onClick:function(po){Yt.toggleCollapsed()}},Ue(Qt,"brace-row")),ge.a.createElement("div",Object.assign({className:"icon-container"},Ue(Qt,"icon-container")),ge.a.createElement(un,{theme:Qt,iconStyle:Ar})),ge.a.createElement(fo,this.props),ge.a.createElement("span",Ue(Qt,"brace"),Rt==="array"?"[":"{")),Nt?this.getObjectMetaData(vr):null)}},{key:"render",value:function(){var Rt=this,Nt=this.props,Yt=Nt.depth,lr=Nt.src,vr=(Nt.namespace,Nt.name,Nt.type,Nt.parent_type),Qt=Nt.theme,Ar=Nt.jsvRoot,un=Nt.iconStyle,po=Ie(Nt,["depth","src","namespace","name","type","parent_type","theme","jsvRoot","iconStyle"]),In=this.state,xo=In.object_type,Vn=In.expanded,Ro={};return Ar||vr==="array_group"?vr==="array_group"&&(Ro.borderLeft=0,Ro.display="inline"):Ro.paddingLeft=5*this.props.indentWidth,ge.a.createElement("div",Object.assign({className:"object-key-val",onMouseEnter:function(){return Rt.setState(j(j({},Rt.state),{},{hovered:!0}))},onMouseLeave:function(){return Rt.setState(j(j({},Rt.state),{},{hovered:!1}))}},Ue(Qt,Ar?"jsv-root":"objectKeyVal",Ro)),this.getBraceStart(xo,Vn),Vn?this.getObjectContent(Yt,lr,j({theme:Qt,iconStyle:un},po)):this.getEllipsis(),ge.a.createElement("span",{className:"brace-row"},ge.a.createElement("span",{style:j(j({},Ue(Qt,"brace").style),{},{paddingLeft:Vn?"3px":"0px"})},xo==="array"?"]":"}"),Vn?null:this.getObjectMetaData(lr)))}}],[{key:"getDerivedStateFromProps",value:function(Rt,Nt){var Yt=Nt.prevProps;return Rt.src!==Yt.src||Rt.collapsed!==Yt.collapsed||Rt.name!==Yt.name||Rt.namespace!==Yt.namespace||Rt.rjvId!==Yt.rjvId?j(j({},yt.getState(Rt)),{},{prevProps:Rt}):null}}]),yt}(ge.a.PureComponent);vi.getState=function(St){var wt=Object.keys(St.src).length,yt=(St.collapsed===!1||St.collapsed!==!0&&St.collapsed>St.depth)&&(!St.shouldCollapse||St.shouldCollapse({name:St.name,src:St.src,type:je(St.src),namespace:St.namespace})===!1)&&wt!==0;return{expanded:Vt.get(St.rjvId,St.namespace,"expanded",yt),object_type:St.type==="array"?"array":"object",parent_type:St.type==="array"?"array":"object",size:wt,hovered:!1}};var ca=function St(wt,yt){F(this,St),this.name=wt,this.value=yt,this.type=je(yt)};Be(vi);var Go=vi,di=function(St){X(yt,St);var wt=xe(yt);function yt(){var Rt;F(this,yt);for(var Nt=arguments.length,Yt=new Array(Nt),lr=0;lr<Nt;lr++)Yt[lr]=arguments[lr];return(Rt=wt.call.apply(wt,[this].concat(Yt))).render=function(){var vr=pe(Rt).props,Qt=[vr.name],Ar=Go;return Array.isArray(vr.src)&&vr.groupArraysAfterLength&&vr.src.length>vr.groupArraysAfterLength&&(Ar=cn),ge.a.createElement("div",{className:"pretty-json-container object-container"},ge.a.createElement("div",{className:"object-content"},ge.a.createElement(Ar,Object.assign({namespace:Qt,depth:0,jsvRoot:!0},vr))))},Rt}return yt}(ge.a.PureComponent),Qi=function(St){X(yt,St);var wt=xe(yt);function yt(Rt){var Nt;return F(this,yt),(Nt=wt.call(this,Rt)).closeModal=function(){Gt.dispatch({rjvId:Nt.props.rjvId,name:"RESET"})},Nt.submit=function(){Nt.props.submit(Nt.state.input)},Nt.state={input:Rt.input?Rt.input:""},Nt}return K(yt,[{key:"render",value:function(){var Rt=this,Nt=this.props,Yt=Nt.theme,lr=Nt.rjvId,vr=Nt.isValid,Qt=this.state.input,Ar=vr(Qt);return ge.a.createElement("div",Object.assign({className:"key-modal-request"},Ue(Yt,"key-modal-request"),{onClick:this.closeModal}),ge.a.createElement("div",Object.assign({},Ue(Yt,"key-modal"),{onClick:function(un){un.stopPropagation()}}),ge.a.createElement("div",Ue(Yt,"key-modal-label"),"Key Name:"),ge.a.createElement("div",{style:{position:"relative"}},ge.a.createElement("input",Object.assign({},Ue(Yt,"key-modal-input"),{className:"key-modal-input",ref:function(un){return un&&un.focus()},spellCheck:!1,value:Qt,placeholder:"...",onChange:function(un){Rt.setState({input:un.target.value})},onKeyPress:function(un){Ar&&un.key==="Enter"?Rt.submit():un.key==="Escape"&&Rt.closeModal()}})),Ar?ge.a.createElement(Ln,Object.assign({},Ue(Yt,"key-modal-submit"),{className:"key-modal-submit",onClick:function(un){return Rt.submit()}})):null),ge.a.createElement("span",Ue(Yt,"key-modal-cancel"),ge.a.createElement(vo,Object.assign({},Ue(Yt,"key-modal-cancel-icon"),{className:"key-modal-cancel",onClick:function(){Gt.dispatch({rjvId:lr,name:"RESET"})}})))))}}]),yt}(ge.a.PureComponent),Oa=function(St){X(yt,St);var wt=xe(yt);function yt(){var Rt;F(this,yt);for(var Nt=arguments.length,Yt=new Array(Nt),lr=0;lr<Nt;lr++)Yt[lr]=arguments[lr];return(Rt=wt.call.apply(wt,[this].concat(Yt))).isValid=function(vr){var Qt=Rt.props.rjvId,Ar=Vt.get(Qt,"action","new-key-request");return vr!=""&&Object.keys(Ar.existing_value).indexOf(vr)===-1},Rt.submit=function(vr){var Qt=Rt.props.rjvId,Ar=Vt.get(Qt,"action","new-key-request");Ar.new_value=j({},Ar.existing_value),Ar.new_value[vr]=Rt.props.defaultValue,Gt.dispatch({name:"VARIABLE_ADDED",rjvId:Qt,data:Ar})},Rt}return K(yt,[{key:"render",value:function(){var Rt=this.props,Nt=Rt.active,Yt=Rt.theme,lr=Rt.rjvId;return Nt?ge.a.createElement(Qi,{rjvId:lr,theme:Yt,isValid:this.isValid,submit:this.submit}):null}}]),yt}(ge.a.PureComponent),gs=function(St){X(yt,St);var wt=xe(yt);function yt(){return F(this,yt),wt.apply(this,arguments)}return K(yt,[{key:"render",value:function(){var Rt=this.props,Nt=Rt.message,Yt=Rt.active,lr=Rt.theme,vr=Rt.rjvId;return Yt?ge.a.createElement("div",Object.assign({className:"validation-failure"},Ue(lr,"validation-failure"),{onClick:function(){Gt.dispatch({rjvId:vr,name:"RESET"})}}),ge.a.createElement("span",Ue(lr,"validation-failure-label"),Nt),ge.a.createElement(vo,Ue(lr,"validation-failure-clear"))):null}}]),yt}(ge.a.PureComponent),Dt=function(St){X(yt,St);var wt=xe(yt);function yt(Rt){var Nt;return F(this,yt),(Nt=wt.call(this,Rt)).rjvId=Date.now().toString(),Nt.getListeners=function(){return{reset:Nt.resetState,"variable-update":Nt.updateSrc,"add-key-request":Nt.addKeyRequest}},Nt.updateSrc=function(){var Yt,lr=Vt.get(Nt.rjvId,"action","variable-update"),vr=lr.name,Qt=lr.namespace,Ar=lr.new_value,un=lr.existing_value,po=(lr.variable_removed,lr.updated_src),In=lr.type,xo=Nt.props,Vn=xo.onEdit,Ro=xo.onDelete,Nn=xo.onAdd,so={existing_src:Nt.state.src,new_value:Ar,updated_src:po,name:vr,namespace:Qt,existing_value:un};switch(In){case"variable-added":Yt=Nn(so);break;case"variable-edited":Yt=Vn(so);break;case"variable-removed":Yt=Ro(so)}Yt!==!1?(Vt.set(Nt.rjvId,"global","src",po),Nt.setState({src:po})):Nt.setState({validationFailure:!0})},Nt.addKeyRequest=function(){Nt.setState({addKeyRequest:!0})},Nt.resetState=function(){Nt.setState({validationFailure:!1,addKeyRequest:!1})},Nt.state={addKeyRequest:!1,editKeyRequest:!1,validationFailure:!1,src:yt.defaultProps.src,name:yt.defaultProps.name,theme:yt.defaultProps.theme,validationMessage:yt.defaultProps.validationMessage,prevSrc:yt.defaultProps.src,prevName:yt.defaultProps.name,prevTheme:yt.defaultProps.theme},Nt}return K(yt,[{key:"componentDidMount",value:function(){Vt.set(this.rjvId,"global","src",this.state.src);var Rt=this.getListeners();for(var Nt in Rt)Vt.on(Nt+"-"+this.rjvId,Rt[Nt]);this.setState({addKeyRequest:!1,editKeyRequest:!1})}},{key:"componentDidUpdate",value:function(Rt,Nt){Nt.addKeyRequest!==!1&&this.setState({addKeyRequest:!1}),Nt.editKeyRequest!==!1&&this.setState({editKeyRequest:!1}),Rt.src!==this.state.src&&Vt.set(this.rjvId,"global","src",this.state.src)}},{key:"componentWillUnmount",value:function(){var Rt=this.getListeners();for(var Nt in Rt)Vt.removeListener(Nt+"-"+this.rjvId,Rt[Nt])}},{key:"render",value:function(){var Rt=this.state,Nt=Rt.validationFailure,Yt=Rt.validationMessage,lr=Rt.addKeyRequest,vr=Rt.theme,Qt=Rt.src,Ar=Rt.name,un=this.props,po=un.style,In=un.defaultValue;return 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AsciiCodePoint;(function(S){S[S.NUL=0]="NUL",S[S.SOH=1]="SOH",S[S.STX=2]="STX",S[S.ETX=3]="ETX",S[S.EOT=4]="EOT",S[S.ENQ=5]="ENQ",S[S.ACK=6]="ACK",S[S.BEL=7]="BEL",S[S.BS=8]="BS",S[S.HT=9]="HT",S[S.LF=10]="LF",S[S.VT=11]="VT",S[S.FF=12]="FF",S[S.CR=13]="CR",S[S.SO=14]="SO",S[S.SI=15]="SI",S[S.DLE=16]="DLE",S[S.DC1=17]="DC1",S[S.DC2=18]="DC2",S[S.DC3=19]="DC3",S[S.DC4=20]="DC4",S[S.NAK=21]="NAK",S[S.SYN=22]="SYN",S[S.ETB=23]="ETB",S[S.CAN=24]="CAN",S[S.EM=25]="EM",S[S.SUB=26]="SUB",S[S.ESC=27]="ESC",S[S.FS=28]="FS",S[S.GS=29]="GS",S[S.RS=30]="RS",S[S.US=31]="US",S[S.SPACE=32]="SPACE",S[S.EXCLAMATION_MARK=33]="EXCLAMATION_MARK",S[S.DOUBLE_QUOTE=34]="DOUBLE_QUOTE",S[S.NUMBER_SIGN=35]="NUMBER_SIGN",S[S.DOLLAR_SIGN=36]="DOLLAR_SIGN",S[S.PERCENT_SIGN=37]="PERCENT_SIGN",S[S.AMPERSAND=38]="AMPERSAND",S[S.SINGLE_QUOTE=39]="SINGLE_QUOTE",S[S.OPEN_PARENTHESIS=40]="OPEN_PARENTHESIS",S[S.CLOSE_PARENTHESIS=41]="CLOSE_PARENTHESIS",S[S.ASTERISK=42]="ASTERISK",S[S.PLUS_SIGN=43]="PLUS_SIGN",S[S.COMMA=44]="COMMA",S[S.MINUS_SIGN=45]="MINUS_SIGN",S[S.DOT=46]="DOT",S[S.SLASH=47]="SLASH",S[S.DIGIT0=48]="DIGIT0",S[S.DIGIT1=49]="DIGIT1",S[S.DIGIT2=50]="DIGIT2",S[S.DIGIT3=51]="DIGIT3",S[S.DIGIT4=52]="DIGIT4",S[S.DIGIT5=53]="DIGIT5",S[S.DIGIT6=54]="DIGIT6",S[S.DIGIT7=55]="DIGIT7",S[S.DIGIT8=56]="DIGIT8",S[S.DIGIT9=57]="DIGIT9",S[S.COLON=58]="COLON",S[S.SEMICOLON=59]="SEMICOLON",S[S.OPEN_ANGLE=60]="OPEN_ANGLE",S[S.EQUALS_SIGN=61]="EQUALS_SIGN",S[S.CLOSE_ANGLE=62]="CLOSE_ANGLE",S[S.QUESTION_MARK=63]="QUESTION_MARK",S[S.AT_SIGN=64]="AT_SIGN",S[S.UPPERCASE_A=65]="UPPERCASE_A",S[S.UPPERCASE_B=66]="UPPERCASE_B",S[S.UPPERCASE_C=67]="UPPERCASE_C",S[S.UPPERCASE_D=68]="UPPERCASE_D",S[S.UPPERCASE_E=69]="UPPERCASE_E",S[S.UPPERCASE_F=70]="UPPERCASE_F",S[S.UPPERCASE_G=71]="UPPERCASE_G",S[S.UPPERCASE_H=72]="UPPERCASE_H",S[S.UPPERCASE_I=73]="UPPERCASE_I",S[S.UPPERCASE_J=74]="UPPERCASE_J",S[S.UPPERCASE_K=75]="UPPERCASE_K",S[S.UPPERCASE_L=76]="UPPERCASE_L",S[S.UPPERCASE_M=77]="UPPERCASE_M",S[S.UPPERCASE_N=78]="UPPERCASE_N",S[S.UPPERCASE_O=79]="UPPERCASE_O",S[S.UPPERCASE_P=80]="UPPERCASE_P",S[S.UPPERCASE_Q=81]="UPPERCASE_Q",S[S.UPPERCASE_R=82]="UPPERCASE_R",S[S.UPPERCASE_S=83]="UPPERCASE_S",S[S.UPPERCASE_T=84]="UPPERCASE_T",S[S.UPPERCASE_U=85]="UPPERCASE_U",S[S.UPPERCASE_V=86]="UPPERCASE_V",S[S.UPPERCASE_W=87]="UPPERCASE_W",S[S.UPPERCASE_X=88]="UPPERCASE_X",S[S.UPPERCASE_Y=89]="UPPERCASE_Y",S[S.UPPERCASE_Z=90]="UPPERCASE_Z",S[S.OPEN_BRACKET=91]="OPEN_BRACKET",S[S.BACKSLASH=92]="BACKSLASH",S[S.CLOSE_BRACKET=93]="CLOSE_BRACKET",S[S.CARET=94]="CARET",S[S.UNDERSCORE=95]="UNDERSCORE",S[S.BACKTICK=96]="BACKTICK",S[S.LOWERCASE_A=97]="LOWERCASE_A",S[S.LOWERCASE_B=98]="LOWERCASE_B",S[S.LOWERCASE_C=99]="LOWERCASE_C",S[S.LOWERCASE_D=100]="LOWERCASE_D",S[S.LOWERCASE_E=101]="LOWERCASE_E",S[S.LOWERCASE_F=102]="LOWERCASE_F",S[S.LOWERCASE_G=103]="LOWERCASE_G",S[S.LOWERCASE_H=104]="LOWERCASE_H",S[S.LOWERCASE_I=105]="LOWERCASE_I",S[S.LOWERCASE_J=106]="LOWERCASE_J",S[S.LOWERCASE_K=107]="LOWERCASE_K",S[S.LOWERCASE_L=108]="LOWERCASE_L",S[S.LOWERCASE_M=109]="LOWERCASE_M",S[S.LOWERCASE_N=110]="LOWERCASE_N",S[S.LOWERCASE_O=111]="LOWERCASE_O",S[S.LOWERCASE_P=112]="LOWERCASE_P",S[S.LOWERCASE_Q=113]="LOWERCASE_Q",S[S.LOWERCASE_R=114]="LOWERCASE_R",S[S.LOWERCASE_S=115]="LOWERCASE_S",S[S.LOWERCASE_T=116]="LOWERCASE_T",S[S.LOWERCASE_U=117]="LOWERCASE_U",S[S.LOWERCASE_V=118]="LOWERCASE_V",S[S.LOWERCASE_W=119]="LOWERCASE_W",S[S.LOWERCASE_X=120]="LOWERCASE_X",S[S.LOWERCASE_Y=121]="LOWERCASE_Y",S[S.LOWERCASE_Z=122]="LOWERCASE_Z",S[S.OPEN_BRACE=123]="OPEN_BRACE",S[S.VERTICAL_SLASH=124]="VERTICAL_SLASH",S[S.CLOSE_BRACE=125]="CLOSE_BRACE",S[S.TILDE=126]="TILDE",S[S.DELETE=127]="DELETE"})(AsciiCodePoint||(AsciiCodePoint={}));const 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UnicodePcCodePoint;(function(S){S[S.LOW_LINE=95]="LOW_LINE",S[S.UNDERTIE=8255]="UNDERTIE",S[S.CHARACTER_TIE=8256]="CHARACTER_TIE",S[S.INVERTED_UNDERTIE=8276]="INVERTED_UNDERTIE",S[S.PRESENTATION_FORM_FOR_VERTICAL_LOW_LINE=65075]="PRESENTATION_FORM_FOR_VERTICAL_LOW_LINE",S[S.PRESENTATION_FORM_FOR_VERTICAL_WAVY_LOW_LINE=65076]="PRESENTATION_FORM_FOR_VERTICAL_WAVY_LOW_LINE",S[S.DASHED_LOW_LINE=65101]="DASHED_LOW_LINE",S[S.CENTRELINE_LOW_LINE=65102]="CENTRELINE_LOW_LINE",S[S.WAVY_LOW_LINE=65103]="WAVY_LOW_LINE",S[S.FULLWIDTH_LOW_LINE=65343]="FULLWIDTH_LOW_LINE"})(UnicodePcCodePoint||(UnicodePcCodePoint={}));var UnicodePdCodePoint;(function(S){S[S.HYPHEN_MINUS=45]="HYPHEN_MINUS",S[S.ARMENIAN_HYPHEN=1418]="ARMENIAN_HYPHEN",S[S.HEBREW_PUNCTUATION_MAQAF=1470]="HEBREW_PUNCTUATION_MAQAF",S[S.CANADIAN_SYLLABICS_HYPHEN=5120]="CANADIAN_SYLLABICS_HYPHEN",S[S.MONGOLIAN_TODO_SOFT_HYPHEN=6150]="MONGOLIAN_TODO_SOFT_HYPHEN",S[S.HYPHEN=8208]="HYPHEN",S[S.NON_BREAKING_HYPHEN=8209]="NON_BREAKING_HYPHEN",S[S.FIGURE_DASH=8210]="FIGURE_DASH",S[S.EN_DASH=8211]="EN_DASH",S[S.EM_DASH=8212]="EM_DASH",S[S.HORIZONTAL_BAR=8213]="HORIZONTAL_BAR",S[S.DOUBLE_OBLIQUE_HYPHEN=11799]="DOUBLE_OBLIQUE_HYPHEN",S[S.HYPHEN_WITH_DIAERESIS=11802]="HYPHEN_WITH_DIAERESIS",S[S.TWO_EM_DASH=11834]="TWO_EM_DASH",S[S.THREE_EM_DASH=11835]="THREE_EM_DASH",S[S.DOUBLE_HYPHEN=11840]="DOUBLE_HYPHEN",S[S.WAVE_DASH=12316]="WAVE_DASH",S[S.WAVY_DASH=12336]="WAVY_DASH",S[S.KATAKANA_HIRAGANA_DOUBLE_HYPHEN=12448]="KATAKANA_HIRAGANA_DOUBLE_HYPHEN",S[S.PRESENTATION_FORM_FOR_VERTICAL_EM_DASH=65073]="PRESENTATION_FORM_FOR_VERTICAL_EM_DASH",S[S.PRESENTATION_FORM_FOR_VERTICAL_EN_DASH=65074]="PRESENTATION_FORM_FOR_VERTICAL_EN_DASH",S[S.SMALL_EM_DASH=65112]="SMALL_EM_DASH",S[S.SMALL_HYPHEN_MINUS=65123]="SMALL_HYPHEN_MINUS",S[S.FULLWIDTH_HYPHEN_MINUS=65293]="FULLWIDTH_HYPHEN_MINUS",S[S.YEZIDI_HYPHENATION_MARK=69293]="YEZIDI_HYPHENATION_MARK"})(UnicodePdCodePoint||(UnicodePdCodePoint={}));var UnicodePeCodePoint;(function(S){S[S.RIGHT_PARENTHESIS=41]="RIGHT_PARENTHESIS",S[S.RIGHT_SQUARE_BRACKET=93]="RIGHT_SQUARE_BRACKET",S[S.RIGHT_CURLY_BRACKET=125]="RIGHT_CURLY_BRACKET",S[S.TIBETAN_MARK_GUG_RTAGS_GYAS=3899]="TIBETAN_MARK_GUG_RTAGS_GYAS",S[S.TIBETAN_MARK_ANG_KHANG_GYAS=3901]="TIBETAN_MARK_ANG_KHANG_GYAS",S[S.OGHAM_REVERSED_FEATHER_MARK=5788]="OGHAM_REVERSED_FEATHER_MARK",S[S.RIGHT_SQUARE_BRACKET_WITH_QUILL=8262]="RIGHT_SQUARE_BRACKET_WITH_QUILL",S[S.SUPERSCRIPT_RIGHT_PARENTHESIS=8318]="SUPERSCRIPT_RIGHT_PARENTHESIS",S[S.SUBSCRIPT_RIGHT_PARENTHESIS=8334]="SUBSCRIPT_RIGHT_PARENTHESIS",S[S.RIGHT_CEILING=8969]="RIGHT_CEILING",S[S.RIGHT_FLOOR=8971]="RIGHT_FLOOR",S[S.RIGHT_POINTING_ANGLE_BRACKET=9002]="RIGHT_POINTING_ANGLE_BRACKET",S[S.MEDIUM_RIGHT_PARENTHESIS_ORNAMENT=10089]="MEDIUM_RIGHT_PARENTHESIS_ORNAMENT",S[S.MEDIUM_FLATTENED_RIGHT_PARENTHESIS_ORNAMENT=10091]="MEDIUM_FLATTENED_RIGHT_PARENTHESIS_ORNAMENT",S[S.MEDIUM_RIGHT_POINTING_ANGLE_BRACKET_ORNAMENT=10093]="MEDIUM_RIGHT_POINTING_ANGLE_BRACKET_ORNAMENT",S[S.HEAVY_RIGHT_POINTING_ANGLE_QUOTATION_MARK_ORNAMENT=10095]="HEAVY_RIGHT_POINTING_ANGLE_QUOTATION_MARK_ORNAMENT",S[S.HEAVY_RIGHT_POINTING_ANGLE_BRACKET_ORNAMENT=10097]="HEAVY_RIGHT_POINTING_ANGLE_BRACKET_ORNAMENT",S[S.LIGHT_RIGHT_TORTOISE_SHELL_BRACKET_ORNAMENT=10099]="LIGHT_RIGHT_TORTOISE_SHELL_BRACKET_ORNAMENT",S[S.MEDIUM_RIGHT_CURLY_BRACKET_ORNAMENT=10101]="MEDIUM_RIGHT_CURLY_BRACKET_ORNAMENT",S[S.RIGHT_S_SHAPED_BAG_DELIMITER=10182]="RIGHT_S_SHAPED_BAG_DELIMITER",S[S.MATHEMATICAL_RIGHT_WHITE_SQUARE_BRACKET=10215]="MATHEMATICAL_RIGHT_WHITE_SQUARE_BRACKET",S[S.MATHEMATICAL_RIGHT_ANGLE_BRACKET=10217]="MATHEMATICAL_RIGHT_ANGLE_BRACKET",S[S.MATHEMATICAL_RIGHT_DOUBLE_ANGLE_BRACKET=10219]="MATHEMATICAL_RIGHT_DOUBLE_ANGLE_BRACKET",S[S.MATHEMATICAL_RIGHT_WHITE_TORTOISE_SHELL_BRACKET=10221]="MATHEMATICAL_RIGHT_WHITE_TORTOISE_SHELL_BRACKET",S[S.MATHEMATICAL_RIGHT_FLATTENED_PARENTHESIS=10223]="MATHEMATICAL_RIGHT_FLATTENED_PARENTHESIS",S[S.RIGHT_WHITE_CURLY_BRACKET=10628]="RIGHT_WHITE_CURLY_BRACKET",S[S.RIGHT_WHITE_PARENTHESIS=10630]="RIGHT_WHITE_PARENTHESIS",S[S.Z_NOTATION_RIGHT_IMAGE_BRACKET=10632]="Z_NOTATION_RIGHT_IMAGE_BRACKET",S[S.Z_NOTATION_RIGHT_BINDING_BRACKET=10634]="Z_NOTATION_RIGHT_BINDING_BRACKET",S[S.RIGHT_SQUARE_BRACKET_WITH_UNDERBAR=10636]="RIGHT_SQUARE_BRACKET_WITH_UNDERBAR",S[S.RIGHT_SQUARE_BRACKET_WITH_TICK_IN_BOTTOM_CORNER=10638]="RIGHT_SQUARE_BRACKET_WITH_TICK_IN_BOTTOM_CORNER",S[S.RIGHT_SQUARE_BRACKET_WITH_TICK_IN_TOP_CORNER=10640]="RIGHT_SQUARE_BRACKET_WITH_TICK_IN_TOP_CORNER",S[S.RIGHT_ANGLE_BRACKET_WITH_DOT=10642]="RIGHT_ANGLE_BRACKET_WITH_DOT",S[S.RIGHT_ARC_GREATER_THAN_BRACKET=10644]="RIGHT_ARC_GREATER_THAN_BRACKET",S[S.DOUBLE_RIGHT_ARC_LESS_THAN_BRACKET=10646]="DOUBLE_RIGHT_ARC_LESS_THAN_BRACKET",S[S.RIGHT_BLACK_TORTOISE_SHELL_BRACKET=10648]="RIGHT_BLACK_TORTOISE_SHELL_BRACKET",S[S.RIGHT_WIGGLY_FENCE=10713]="RIGHT_WIGGLY_FENCE",S[S.RIGHT_DOUBLE_WIGGLY_FENCE=10715]="RIGHT_DOUBLE_WIGGLY_FENCE",S[S.RIGHT_POINTING_CURVED_ANGLE_BRACKET=10749]="RIGHT_POINTING_CURVED_ANGLE_BRACKET",S[S.TOP_RIGHT_HALF_BRACKET=11811]="TOP_RIGHT_HALF_BRACKET",S[S.BOTTOM_RIGHT_HALF_BRACKET=11813]="BOTTOM_RIGHT_HALF_BRACKET",S[S.RIGHT_SIDEWAYS_U_BRACKET=11815]="RIGHT_SIDEWAYS_U_BRACKET",S[S.RIGHT_DOUBLE_PARENTHESIS=11817]="RIGHT_DOUBLE_PARENTHESIS",S[S.RIGHT_ANGLE_BRACKET=12297]="RIGHT_ANGLE_BRACKET",S[S.RIGHT_DOUBLE_ANGLE_BRACKET=12299]="RIGHT_DOUBLE_ANGLE_BRACKET",S[S.RIGHT_CORNER_BRACKET=12301]="RIGHT_CORNER_BRACKET",S[S.RIGHT_WHITE_CORNER_BRACKET=12303]="RIGHT_WHITE_CORNER_BRACKET",S[S.RIGHT_BLACK_LENTICULAR_BRACKET=12305]="RIGHT_BLACK_LENTICULAR_BRACKET",S[S.RIGHT_TORTOISE_SHELL_BRACKET=12309]="RIGHT_TORTOISE_SHELL_BRACKET",S[S.RIGHT_WHITE_LENTICULAR_BRACKET=12311]="RIGHT_WHITE_LENTICULAR_BRACKET",S[S.RIGHT_WHITE_TORTOISE_SHELL_BRACKET=12313]="RIGHT_WHITE_TORTOISE_SHELL_BRACKET",S[S.RIGHT_WHITE_SQUARE_BRACKET=12315]="RIGHT_WHITE_SQUARE_BRACKET",S[S.DOUBLE_PRIME_QUOTATION_MARK=12318]="DOUBLE_PRIME_QUOTATION_MARK",S[S.LOW_DOUBLE_PRIME_QUOTATION_MARK=12319]="LOW_DOUBLE_PRIME_QUOTATION_MARK",S[S.ORNATE_LEFT_PARENTHESIS=64830]="ORNATE_LEFT_PARENTHESIS",S[S.PRESENTATION_FORM_FOR_VERTICAL_RIGHT_WHITE_LENTICULAR_BRAKCET=65048]="PRESENTATION_FORM_FOR_VERTICAL_RIGHT_WHITE_LENTICULAR_BRAKCET",S[S.PRESENTATION_FORM_FOR_VERTICAL_RIGHT_PARENTHESIS=65078]="PRESENTATION_FORM_FOR_VERTICAL_RIGHT_PARENTHESIS",S[S.PRESENTATION_FORM_FOR_VERTICAL_RIGHT_CURLY_BRACKET=65080]="PRESENTATION_FORM_FOR_VERTICAL_RIGHT_CURLY_BRACKET",S[S.PRESENTATION_FORM_FOR_VERTICAL_RIGHT_TORTOISE_SHELL_BRACKET=65082]="PRESENTATION_FORM_FOR_VERTICAL_RIGHT_TORTOISE_SHELL_BRACKET",S[S.PRESENTATION_FORM_FOR_VERTICAL_RIGHT_BLACK_LENTICULAR_BRACKET=65084]="PRESENTATION_FORM_FOR_VERTICAL_RIGHT_BLACK_LENTICULAR_BRACKET",S[S.PRESENTATION_FORM_FOR_VERTICAL_RIGHT_DOUBLE_ANGLE_BRACKET=65086]="PRESENTATION_FORM_FOR_VERTICAL_RIGHT_DOUBLE_ANGLE_BRACKET",S[S.PRESENTATION_FORM_FOR_VERTICAL_RIGHT_ANGLE_BRACKET=65088]="PRESENTATION_FORM_FOR_VERTICAL_RIGHT_ANGLE_BRACKET",S[S.PRESENTATION_FORM_FOR_VERTICAL_RIGHT_CORNER_BRACKET=65090]="PRESENTATION_FORM_FOR_VERTICAL_RIGHT_CORNER_BRACKET",S[S.PRESENTATION_FORM_FOR_VERTICAL_RIGHT_WHITE_CORNER_BRACKET=65092]="PRESENTATION_FORM_FOR_VERTICAL_RIGHT_WHITE_CORNER_BRACKET",S[S.PRESENTATION_FORM_FOR_VERTICAL_RIGHT_SQUARE_BRACKET=65096]="PRESENTATION_FORM_FOR_VERTICAL_RIGHT_SQUARE_BRACKET",S[S.SMALL_RIGHT_PARENTHESIS=65114]="SMALL_RIGHT_PARENTHESIS",S[S.SMALL_RIGHT_CURLY_BRACKET=65116]="SMALL_RIGHT_CURLY_BRACKET",S[S.SMALL_RIGHT_TORTOISE_SHELL_BRACKET=65118]="SMALL_RIGHT_TORTOISE_SHELL_BRACKET",S[S.FULLWIDTH_RIGHT_PARENTHESIS=65289]="FULLWIDTH_RIGHT_PARENTHESIS",S[S.FULLWIDTH_RIGHT_SQUARE_BRACKET=65341]="FULLWIDTH_RIGHT_SQUARE_BRACKET",S[S.FULLWIDTH_RIGHT_CURLY_BRACKET=65373]="FULLWIDTH_RIGHT_CURLY_BRACKET",S[S.FULLWIDTH_RIGHT_WHITE_PARENTHESIS=65376]="FULLWIDTH_RIGHT_WHITE_PARENTHESIS",S[S.HALFWIDTH_RIGHT_CORNER_BRACKET=65379]="HALFWIDTH_RIGHT_CORNER_BRACKET"})(UnicodePeCodePoint||(UnicodePeCodePoint={}));var UnicodePfCodePoint;(function(S){S[S.RIGHT_POINTING_DOUBLE_ANGLE_QUOTATION_MARK=187]="RIGHT_POINTING_DOUBLE_ANGLE_QUOTATION_MARK",S[S.RIGHT_SINGLE_QUOTATION_MARK=8217]="RIGHT_SINGLE_QUOTATION_MARK",S[S.RIGHT_DOUBLE_QUOTATION_MARK=8221]="RIGHT_DOUBLE_QUOTATION_MARK",S[S.SINGLE_RIGHT_POINTING_ANGLE_QUOTATION_MARK=8250]="SINGLE_RIGHT_POINTING_ANGLE_QUOTATION_MARK",S[S.RIGHT_SUBSTITUTION_BRACKET=11779]="RIGHT_SUBSTITUTION_BRACKET",S[S.RIGHT_DOTTED_SUBSTITUTION_BRACKET=11781]="RIGHT_DOTTED_SUBSTITUTION_BRACKET",S[S.RIGHT_TRANSPOSITION_BRACKET=11786]="RIGHT_TRANSPOSITION_BRACKET",S[S.RIGHT_RAISED_OMISSION_BRACKET=11789]="RIGHT_RAISED_OMISSION_BRACKET",S[S.RIGHT_LOW_PARAPHRASE_BRACKET=11805]="RIGHT_LOW_PARAPHRASE_BRACKET",S[S.RIGHT_VERTICAL_BAR_WITH_QUILL=11809]="RIGHT_VERTICAL_BAR_WITH_QUILL"})(UnicodePfCodePoint||(UnicodePfCodePoint={}));var UnicodePiCodePoint;(function(S){S[S.LEFT_POINTING_DOUBLE_ANGLE_QUOTATION_MARK=171]="LEFT_POINTING_DOUBLE_ANGLE_QUOTATION_MARK",S[S.LEFT_SINGLE_QUOTATION_MARK=8216]="LEFT_SINGLE_QUOTATION_MARK",S[S.SINGLE_HIGH_REVERSED_9_QUOTATION_MARK=8219]="SINGLE_HIGH_REVERSED_9_QUOTATION_MARK",S[S.LEFT_DOUBLE_QUOTATION_MARK=8220]="LEFT_DOUBLE_QUOTATION_MARK",S[S.DOUBLE_HIGH_REVERSED_9_QUOTATION_MARK=8223]="DOUBLE_HIGH_REVERSED_9_QUOTATION_MARK",S[S.SINGLE_LEFT_POINTING_ANGLE_QUOTATION_MARK=8249]="SINGLE_LEFT_POINTING_ANGLE_QUOTATION_MARK",S[S.LEFT_SUBSTITUTION_BRACKET=11778]="LEFT_SUBSTITUTION_BRACKET",S[S.LEFT_DOTTED_SUBSTITUTION_BRACKET=11780]="LEFT_DOTTED_SUBSTITUTION_BRACKET",S[S.LEFT_TRANSPOSITION_BRACKET=11785]="LEFT_TRANSPOSITION_BRACKET",S[S.LEFT_RAISED_OMISSION_BRACKET=11788]="LEFT_RAISED_OMISSION_BRACKET",S[S.LEFT_LOW_PARAPHRASE_BRACKET=11804]="LEFT_LOW_PARAPHRASE_BRACKET",S[S.LEFT_VERTICAL_BAR_WITH_QUILL=11808]="LEFT_VERTICAL_BAR_WITH_QUILL"})(UnicodePiCodePoint||(UnicodePiCodePoint={}));var UnicodePoCodePoint;(function(S){S[S.EXCLAMATION_MARK=33]="EXCLAMATION_MARK",S[S.QUOTATION_MARK=34]="QUOTATION_MARK",S[S.NUMBER_SIGN=35]="NUMBER_SIGN",S[S.PERCENT_SIGN=37]="PERCENT_SIGN",S[S.AMPERSAND=38]="AMPERSAND",S[S.APOSTROPHE=39]="APOSTROPHE",S[S.ASTERISK=42]="ASTERISK",S[S.COMMA=44]="COMMA",S[S.FULL_STOP=46]="FULL_STOP",S[S.SOLIDUS=47]="SOLIDUS",S[S.COLON=58]="COLON",S[S.SEMICOLON=59]="SEMICOLON",S[S.QUESTION_MARK=63]="QUESTION_MARK",S[S.COMMERCIAL_AT=64]="COMMERCIAL_AT",S[S.REVERSE_SOLIDUS=92]="REVERSE_SOLIDUS",S[S.INVERTED_EXCLAMATION_MARK=161]="INVERTED_EXCLAMATION_MARK",S[S.SECTION_SIGN=167]="SECTION_SIGN",S[S.PILCROW_SIGN=182]="PILCROW_SIGN",S[S.MIDDLE_DOT=183]="MIDDLE_DOT",S[S.INVERTED_QUESTION_MARK=191]="INVERTED_QUESTION_MARK",S[S.GREEK_QUESTION_MARK=894]="GREEK_QUESTION_MARK",S[S.GREEK_ANO_TELEIA=903]="GREEK_ANO_TELEIA",S[S.ARMENIAN_APOSTROPHE=1370]="ARMENIAN_APOSTROPHE",S[S.ARMENIAN_EMPHASIS_MARK=1371]="ARMENIAN_EMPHASIS_MARK",S[S.ARMENIAN_EXCLAMATION_MARK=1372]="ARMENIAN_EXCLAMATION_MARK",S[S.ARMENIAN_COMMA=1373]="ARMENIAN_COMMA",S[S.ARMENIAN_QUESTION_MARK=1374]="ARMENIAN_QUESTION_MARK",S[S.ARMENIAN_ABBREVIATION_MARK=1375]="ARMENIAN_ABBREVIATION_MARK",S[S.ARMENIAN_FULL_STOP=1417]="ARMENIAN_FULL_STOP",S[S.HEBREW_PUNCTUATION_PASEQ=1472]="HEBREW_PUNCTUATION_PASEQ",S[S.HEBREW_PUNCTUATION_SOF_PASUQ=1475]="HEBREW_PUNCTUATION_SOF_PASUQ",S[S.HEBREW_PUNCTUATION_NUN_HAFUKHA=1478]="HEBREW_PUNCTUATION_NUN_HAFUKHA",S[S.HEBREW_PUNCTUATION_GERESH=1523]="HEBREW_PUNCTUATION_GERESH",S[S.HEBREW_PUNCTUATION_GERSHAYIM=1524]="HEBREW_PUNCTUATION_GERSHAYIM",S[S.ARABIC_INDIC_PER_MILLE_SIGN=1545]="ARABIC_INDIC_PER_MILLE_SIGN",S[S.ARABIC_INDIC_PER_TEN_THOUSAND_SIGN=1546]="ARABIC_INDIC_PER_TEN_THOUSAND_SIGN",S[S.ARABIC_COMMA=1548]="ARABIC_COMMA",S[S.ARABIC_DATE_SEPARATOR=1549]="ARABIC_DATE_SEPARATOR",S[S.ARABIC_SEMICOLON=1563]="ARABIC_SEMICOLON",S[S.ARABIC_TRIPLE_DOT_PUNCTUATION_MARK=1566]="ARABIC_TRIPLE_DOT_PUNCTUATION_MARK",S[S.ARABIC_QUESTION_MARK=1567]="ARABIC_QUESTION_MARK",S[S.ARABIC_PERCENT_SIGN=1642]="ARABIC_PERCENT_SIGN",S[S.ARABIC_DECIMAL_SEPARATOR=1643]="ARABIC_DECIMAL_SEPARATOR",S[S.ARABIC_THOUSANDS_SEPARATOR=1644]="ARABIC_THOUSANDS_SEPARATOR",S[S.ARABIC_FIVE_POINTED_STAR=1645]="ARABIC_FIVE_POINTED_STAR",S[S.ARABIC_FULL_STOP=1748]="ARABIC_FULL_STOP",S[S.SYRIAC_END_OF_PARAGRAPH=1792]="SYRIAC_END_OF_PARAGRAPH",S[S.SYRIAC_SUPRALINEAR_FULL_STOP=1793]="SYRIAC_SUPRALINEAR_FULL_STOP",S[S.SYRIAC_SUBLINEAR_FULL_STOP=1794]="SYRIAC_SUBLINEAR_FULL_STOP",S[S.SYRIAC_SUPRALINEAR_COLON=1795]="SYRIAC_SUPRALINEAR_COLON",S[S.SYRIAC_SUBLINEAR_COLON=1796]="SYRIAC_SUBLINEAR_COLON",S[S.SYRIAC_HORIZONTAL_COLON=1797]="SYRIAC_HORIZONTAL_COLON",S[S.SYRIAC_COLON_SKEWED_LEFT=1798]="SYRIAC_COLON_SKEWED_LEFT",S[S.SYRIAC_COLON_SKEWED_RIGHT=1799]="SYRIAC_COLON_SKEWED_RIGHT",S[S.SYRIAC_SUPRALINEAR_COLON_SKEWED_LEFT=1800]="SYRIAC_SUPRALINEAR_COLON_SKEWED_LEFT",S[S.SYRIAC_SUBLINEAR_COLON_SKEWED_RIGHT=1801]="SYRIAC_SUBLINEAR_COLON_SKEWED_RIGHT",S[S.SYRIAC_CONTRACTION=1802]="SYRIAC_CONTRACTION",S[S.SYRIAC_HARKLEAN_OBELUS=1803]="SYRIAC_HARKLEAN_OBELUS",S[S.SYRIAC_HARKLEAN_METOBELUS=1804]="SYRIAC_HARKLEAN_METOBELUS",S[S.SYRIAC_HARKLEAN_ASTERISCUS=1805]="SYRIAC_HARKLEAN_ASTERISCUS",S[S.NKO_SYMBOL_GBAKURUNEN=2039]="NKO_SYMBOL_GBAKURUNEN",S[S.NKO_COMMA=2040]="NKO_COMMA",S[S.NKO_EXCLAMATION_MARK=2041]="NKO_EXCLAMATION_MARK",S[S.SAMARITAN_PUNCTUATION_NEQUDAA=2096]="SAMARITAN_PUNCTUATION_NEQUDAA",S[S.SAMARITAN_PUNCTUATION_AFSAAQ=2097]="SAMARITAN_PUNCTUATION_AFSAAQ",S[S.SAMARITAN_PUNCTUATION_ANGED=2098]="SAMARITAN_PUNCTUATION_ANGED",S[S.SAMARITAN_PUNCTUATION_BAU=2099]="SAMARITAN_PUNCTUATION_BAU",S[S.SAMARITAN_PUNCTUATION_ATMAAU=2100]="SAMARITAN_PUNCTUATION_ATMAAU",S[S.SAMARITAN_PUNCTUATION_SHIYYAALAA=2101]="SAMARITAN_PUNCTUATION_SHIYYAALAA",S[S.SAMARITAN_ABBREVIATION_MARK=2102]="SAMARITAN_ABBREVIATION_MARK",S[S.SAMARITAN_PUNCTUATION_MELODIC_QITSA=2103]="SAMARITAN_PUNCTUATION_MELODIC_QITSA",S[S.SAMARITAN_PUNCTUATION_ZIQAA=2104]="SAMARITAN_PUNCTUATION_ZIQAA",S[S.SAMARITAN_PUNCTUATION_QITSA=2105]="SAMARITAN_PUNCTUATION_QITSA",S[S.SAMARITAN_PUNCTUATION_ZAEF=2106]="SAMARITAN_PUNCTUATION_ZAEF",S[S.SAMARITAN_PUNCTUATION_TURU=2107]="SAMARITAN_PUNCTUATION_TURU",S[S.SAMARITAN_PUNCTUATION_ARKAANU=2108]="SAMARITAN_PUNCTUATION_ARKAANU",S[S.SAMARITAN_PUNCTUATION_SOF_MASHFAAT=2109]="SAMARITAN_PUNCTUATION_SOF_MASHFAAT",S[S.SAMARITAN_PUNCTUATION_ANNAAU=2110]="SAMARITAN_PUNCTUATION_ANNAAU",S[S.MANDAIC_PUNCTUATION=2142]="MANDAIC_PUNCTUATION",S[S.DEVANAGARI_DANDA=2404]="DEVANAGARI_DANDA",S[S.DEVANAGARI_DOUBLE_DANDA=2405]="DEVANAGARI_DOUBLE_DANDA",S[S.DEVANAGARI_ABBREVIATION_SIGN=2416]="DEVANAGARI_ABBREVIATION_SIGN",S[S.BENGALI_ABBREVIATION_SIGN=2557]="BENGALI_ABBREVIATION_SIGN",S[S.GURMUKHI_ABBREVIATION_SIGN=2678]="GURMUKHI_ABBREVIATION_SIGN",S[S.GUJARATI_ABBREVIATION_SIGN=2800]="GUJARATI_ABBREVIATION_SIGN",S[S.TELUGU_SIGN_SIDDHAM=3191]="TELUGU_SIGN_SIDDHAM",S[S.KANNADA_SIGN_SIDDHAM=3204]="KANNADA_SIGN_SIDDHAM",S[S.SINHALA_PUNCTUATION_KUNDDALIYA=3572]="SINHALA_PUNCTUATION_KUNDDALIYA",S[S.THAI_CHARACTER_FONGMAN=3663]="THAI_CHARACTER_FONGMAN",S[S.THAI_CHARACTER_ANGKHANKHU=3674]="THAI_CHARACTER_ANGKHANKHU",S[S.THAI_CHARACTER_KHOMUT=3675]="THAI_CHARACTER_KHOMUT",S[S.TIBETAN_MARK_INITIAL_YIG_MGO_MDUN_MA=3844]="TIBETAN_MARK_INITIAL_YIG_MGO_MDUN_MA",S[S.TIBETAN_MARK_CLOSING_YIG_MGO_SGAB_MA=3845]="TIBETAN_MARK_CLOSING_YIG_MGO_SGAB_MA",S[S.TIBETAN_MARK_CARET_YIG_MGO_PHUR_SHAD_MA=3846]="TIBETAN_MARK_CARET_YIG_MGO_PHUR_SHAD_MA",S[S.TIBETAN_MARK_YIG_MGO_TSHEG_SHAD_MA=3847]="TIBETAN_MARK_YIG_MGO_TSHEG_SHAD_MA",S[S.TIBETAN_MARK_SBRUL_SHAD=3848]="TIBETAN_MARK_SBRUL_SHAD",S[S.TIBETAN_MARK_BSKUR_YIG_MGO=3849]="TIBETAN_MARK_BSKUR_YIG_MGO",S[S.TIBETAN_MARK_BKA__SHOG_YIG_MGO=3850]="TIBETAN_MARK_BKA__SHOG_YIG_MGO",S[S.TIBETAN_MARK_INTERSYLLABIC_TSHEG=3851]="TIBETAN_MARK_INTERSYLLABIC_TSHEG",S[S.TIBETAN_MARK_DELIMITER_TSHEG_BSTAR=3852]="TIBETAN_MARK_DELIMITER_TSHEG_BSTAR",S[S.TIBETAN_MARK_SHAD=3853]="TIBETAN_MARK_SHAD",S[S.TIBETAN_MARK_NYIS_SHAD=3854]="TIBETAN_MARK_NYIS_SHAD",S[S.TIBETAN_MARK_TSHEG_SHAD=3855]="TIBETAN_MARK_TSHEG_SHAD",S[S.TIBETAN_MARK_NYIS_TSHEG_SHAD=3856]="TIBETAN_MARK_NYIS_TSHEG_SHAD",S[S.TIBETAN_MARK_RIN_CHEN_SPUNGS_SHAD=3857]="TIBETAN_MARK_RIN_CHEN_SPUNGS_SHAD",S[S.TIBETAN_MARK_RGYA_GRAM_SHAD=3858]="TIBETAN_MARK_RGYA_GRAM_SHAD",S[S.TIBETAN_MARK_GTER_TSHEG=3860]="TIBETAN_MARK_GTER_TSHEG",S[S.TIBETAN_MARK_PALUTA=3973]="TIBETAN_MARK_PALUTA",S[S.TIBETAN_MARK_BSKA__SHOG_GI_MGO_RGYAN=4048]="TIBETAN_MARK_BSKA__SHOG_GI_MGO_RGYAN",S[S.TIBETAN_MARK_MNYAM_YIG_GI_MGO_RGYAN=4049]="TIBETAN_MARK_MNYAM_YIG_GI_MGO_RGYAN",S[S.TIBETAN_MARK_NYIS_TSHEG=4050]="TIBETAN_MARK_NYIS_TSHEG",S[S.TIBETAN_MARK_INITIAL_BRDA_RNYING_YIG_MGO_MDUN_MA=4051]="TIBETAN_MARK_INITIAL_BRDA_RNYING_YIG_MGO_MDUN_MA",S[S.TIBETAN_MARK_CLOSING_BRDA_RNYING_YIG_MGO_SGAB_MA=4052]="TIBETAN_MARK_CLOSING_BRDA_RNYING_YIG_MGO_SGAB_MA",S[S.TIBETAN_MARK_LEADING_MCHAN_RTAGS=4057]="TIBETAN_MARK_LEADING_MCHAN_RTAGS",S[S.TIBETAN_MARK_TRAILING_MCHAN_RTAGS=4058]="TIBETAN_MARK_TRAILING_MCHAN_RTAGS",S[S.MYANMAR_SIGN_LITTLE_SECTION=4170]="MYANMAR_SIGN_LITTLE_SECTION",S[S.MYANMAR_SIGN_SECTION=4171]="MYANMAR_SIGN_SECTION",S[S.MYANMAR_SYMBOL_LOCATIVE=4172]="MYANMAR_SYMBOL_LOCATIVE",S[S.MYANMAR_SYMBOL_COMPLETED=4173]="MYANMAR_SYMBOL_COMPLETED",S[S.MYANMAR_SYMBOL_AFOREMENTIONED=4174]="MYANMAR_SYMBOL_AFOREMENTIONED",S[S.MYANMAR_SYMBOL_GENITIVE=4175]="MYANMAR_SYMBOL_GENITIVE",S[S.GEORGIAN_PARAGRAPH_SEPARATOR=4347]="GEORGIAN_PARAGRAPH_SEPARATOR",S[S.ETHIOPIC_SECTION_MARK=4960]="ETHIOPIC_SECTION_MARK",S[S.ETHIOPIC_WORDSPACE=4961]="ETHIOPIC_WORDSPACE",S[S.ETHIOPIC_FULL_STOP=4962]="ETHIOPIC_FULL_STOP",S[S.ETHIOPIC_COMMA=4963]="ETHIOPIC_COMMA",S[S.ETHIOPIC_SEMICOLON=4964]="ETHIOPIC_SEMICOLON",S[S.ETHIOPIC_COLON=4965]="ETHIOPIC_COLON",S[S.ETHIOPIC_PREFACE_COLON=4966]="ETHIOPIC_PREFACE_COLON",S[S.ETHIOPIC_QUESTION_MARK=4967]="ETHIOPIC_QUESTION_MARK",S[S.ETHIOPIC_PARAGRAPH_SEPARATOR=4968]="ETHIOPIC_PARAGRAPH_SEPARATOR",S[S.CANADIAN_SYLLABICS_FULL_STOP=5742]="CANADIAN_SYLLABICS_FULL_STOP",S[S.RUNIC_SINGLE_PUNCTUATION=5867]="RUNIC_SINGLE_PUNCTUATION",S[S.RUNIC_MULTIPLE_PUNCTUATION=5868]="RUNIC_MULTIPLE_PUNCTUATION",S[S.RUNIC_CROSS_PUNCTUATION=5869]="RUNIC_CROSS_PUNCTUATION",S[S.PHILIPPINE_SINGLE_PUNCTUATION=5941]="PHILIPPINE_SINGLE_PUNCTUATION",S[S.PHILIPPINE_DOUBLE_PUNCTUATION=5942]="PHILIPPINE_DOUBLE_PUNCTUATION",S[S.KHMER_SIGN_KHAN=6100]="KHMER_SIGN_KHAN",S[S.KHMER_SIGN_BARIYOOSAN=6101]="KHMER_SIGN_BARIYOOSAN",S[S.KHMER_SIGN_CAMNUC_PII_KUUH=6102]="KHMER_SIGN_CAMNUC_PII_KUUH",S[S.KHMER_SIGN_BEYYAL=6104]="KHMER_SIGN_BEYYAL",S[S.KHMER_SIGN_PHNAEK_MUAN=6105]="KHMER_SIGN_PHNAEK_MUAN",S[S.KHMER_SIGN_KOOMUUT=6106]="KHMER_SIGN_KOOMUUT",S[S.MONGOLIAN_BIRGA=6144]="MONGOLIAN_BIRGA",S[S.MONGOLIAN_ELLIPSIS=6145]="MONGOLIAN_ELLIPSIS",S[S.MONGOLIAN_COMMA=6146]="MONGOLIAN_COMMA",S[S.MONGOLIAN_FULL_STOP=6147]="MONGOLIAN_FULL_STOP",S[S.MONGOLIAN_COLON=6148]="MONGOLIAN_COLON",S[S.MONGOLIAN_FOUR_DOTS=6149]="MONGOLIAN_FOUR_DOTS",S[S.MONGOLIAN_SIBE_SYLLABLE_BOUNDARY_MARKER=6151]="MONGOLIAN_SIBE_SYLLABLE_BOUNDARY_MARKER",S[S.MONGOLIAN_MANCHU_COMMA=6152]="MONGOLIAN_MANCHU_COMMA",S[S.MONGOLIAN_MANCHU_FULL_STOP=6153]="MONGOLIAN_MANCHU_FULL_STOP",S[S.MONGOLIAN_NIRUGU=6154]="MONGOLIAN_NIRUGU",S[S.LIMBU_EXCLAMATION_MARK=6468]="LIMBU_EXCLAMATION_MARK",S[S.LIMBU_QUESTION_MARK=6469]="LIMBU_QUESTION_MARK",S[S.BUGINESE_PALLAWA=6686]="BUGINESE_PALLAWA",S[S.BUGINESE_END_OF_SECTION=6687]="BUGINESE_END_OF_SECTION",S[S.TAI_THAM_SIGN_WIANG=6816]="TAI_THAM_SIGN_WIANG",S[S.TAI_THAM_SIGN_WIANGWAAK=6817]="TAI_THAM_SIGN_WIANGWAAK",S[S.TAI_THAM_SIGN_SAWAN=6818]="TAI_THAM_SIGN_SAWAN",S[S.TAI_THAM_SIGN_KEOW=6819]="TAI_THAM_SIGN_KEOW",S[S.TAI_THAM_SIGN_HOY=6820]="TAI_THAM_SIGN_HOY",S[S.TAI_THAM_SIGN_DOKMAI=6821]="TAI_THAM_SIGN_DOKMAI",S[S.TAI_THAM_SIGN_REVERSED_ROTATED_RANA=6822]="TAI_THAM_SIGN_REVERSED_ROTATED_RANA",S[S.TAI_THAM_SIGN_KAAN=6824]="TAI_THAM_SIGN_KAAN",S[S.TAI_THAM_SIGN_KAANKUU=6825]="TAI_THAM_SIGN_KAANKUU",S[S.TAI_THAM_SIGN_SATKAAN=6826]="TAI_THAM_SIGN_SATKAAN",S[S.TAI_THAM_SIGN_SATKAANKUU=6827]="TAI_THAM_SIGN_SATKAANKUU",S[S.TAI_THAM_SIGN_HANG=6828]="TAI_THAM_SIGN_HANG",S[S.TAI_THAM_SIGN_CAANG=6829]="TAI_THAM_SIGN_CAANG",S[S.BALINESE_PANTI=7002]="BALINESE_PANTI",S[S.BALINESE_PAMADA=7003]="BALINESE_PAMADA",S[S.BALINESE_WINDU=7004]="BALINESE_WINDU",S[S.BALINESE_CARIK_PAMUNGKAH=7005]="BALINESE_CARIK_PAMUNGKAH",S[S.BALINESE_CARIK_SIKI=7006]="BALINESE_CARIK_SIKI",S[S.BALINESE_CARIK_PAREREN=7007]="BALINESE_CARIK_PAREREN",S[S.BALINESE_PAMENENG=7008]="BALINESE_PAMENENG",S[S.BATAK_SYMBOL_BINDU_NA_METEK=7164]="BATAK_SYMBOL_BINDU_NA_METEK",S[S.BATAK_SYMBOL_BINDU_PINARBORAS=7165]="BATAK_SYMBOL_BINDU_PINARBORAS",S[S.BATAK_SYMBOL_BINDU_JUDUL=7166]="BATAK_SYMBOL_BINDU_JUDUL",S[S.BATAK_SYMBOL_BINDU_PANGOLAT=7167]="BATAK_SYMBOL_BINDU_PANGOLAT",S[S.LEPCHA_PUNCTUATION_TA_ROL=7227]="LEPCHA_PUNCTUATION_TA_ROL",S[S.LEPCHA_PUNCTUATION_NYET_THYOOM_TA_ROL=7228]="LEPCHA_PUNCTUATION_NYET_THYOOM_TA_ROL",S[S.LEPCHA_PUNCTUATION_CER_WA=7229]="LEPCHA_PUNCTUATION_CER_WA",S[S.LEPCHA_PUNCTUATION_TSHOOK_CER_WA=7230]="LEPCHA_PUNCTUATION_TSHOOK_CER_WA",S[S.LEPCHA_PUNCTUATION_TSHOOK=7231]="LEPCHA_PUNCTUATION_TSHOOK",S[S.OL_CHIKI_PUNCTUATION_MUCAAD=7294]="OL_CHIKI_PUNCTUATION_MUCAAD",S[S.OL_CHIKI_PUNCTUATION_DOUBLE_MUCAAD=7295]="OL_CHIKI_PUNCTUATION_DOUBLE_MUCAAD",S[S.SUNDANESE_PUNCTUATION_BINDU_SURYA=7360]="SUNDANESE_PUNCTUATION_BINDU_SURYA",S[S.SUNDANESE_PUNCTUATION_BINDU_PANGLONG=7361]="SUNDANESE_PUNCTUATION_BINDU_PANGLONG",S[S.SUNDANESE_PUNCTUATION_BINDU_PURNAMA=7362]="SUNDANESE_PUNCTUATION_BINDU_PURNAMA",S[S.SUNDANESE_PUNCTUATION_BINDU_CAKRA=7363]="SUNDANESE_PUNCTUATION_BINDU_CAKRA",S[S.SUNDANESE_PUNCTUATION_BINDU_LEU_SATANGA=7364]="SUNDANESE_PUNCTUATION_BINDU_LEU_SATANGA",S[S.SUNDANESE_PUNCTUATION_BINDU_KA_SATANGA=7365]="SUNDANESE_PUNCTUATION_BINDU_KA_SATANGA",S[S.SUNDANESE_PUNCTUATION_BINDU_DA_SATANGA=7366]="SUNDANESE_PUNCTUATION_BINDU_DA_SATANGA",S[S.SUNDANESE_PUNCTUATION_BINDU_BA_SATANGA=7367]="SUNDANESE_PUNCTUATION_BINDU_BA_SATANGA",S[S.VEDIC_SIGN_NIHSHVASA=7379]="VEDIC_SIGN_NIHSHVASA",S[S.DOUBLE_VERTICAL_LINE=8214]="DOUBLE_VERTICAL_LINE",S[S.DOUBLE_LOW_LINE=8215]="DOUBLE_LOW_LINE",S[S.DAGGER=8224]="DAGGER",S[S.DOUBLE_DAGGER=8225]="DOUBLE_DAGGER",S[S.BULLET=8226]="BULLET",S[S.TRIANGULAR_BULLET=8227]="TRIANGULAR_BULLET",S[S.ONE_DOT_LEADER=8228]="ONE_DOT_LEADER",S[S.TWO_DOT_LEADER=8229]="TWO_DOT_LEADER",S[S.HORIZONTAL_ELLIPSIS=8230]="HORIZONTAL_ELLIPSIS",S[S.HYPHENATION_POINT=8231]="HYPHENATION_POINT",S[S.PER_MILLE_SIGN=8240]="PER_MILLE_SIGN",S[S.PER_TEN_THOUSAND_SIGN=8241]="PER_TEN_THOUSAND_SIGN",S[S.PRIME=8242]="PRIME",S[S.DOUBLE_PRIME=8243]="DOUBLE_PRIME",S[S.TRIPLE_PRIME=8244]="TRIPLE_PRIME",S[S.REVERSED_PRIME=8245]="REVERSED_PRIME",S[S.REVERSED_DOUBLE_PRIME=8246]="REVERSED_DOUBLE_PRIME",S[S.REVERSED_TRIPLE_PRIME=8247]="REVERSED_TRIPLE_PRIME",S[S.CARET=8248]="CARET",S[S.REFERENCE_MARK=8251]="REFERENCE_MARK",S[S.DOUBLE_EXCLAMATION_MARK=8252]="DOUBLE_EXCLAMATION_MARK",S[S.INTERROBANG=8253]="INTERROBANG",S[S.OVERLINE=8254]="OVERLINE",S[S.CARET_INSERTION_POINT=8257]="CARET_INSERTION_POINT",S[S.ASTERISM=8258]="ASTERISM",S[S.HYPHEN_BULLET=8259]="HYPHEN_BULLET",S[S.DOUBLE_QUESTION_MARK=8263]="DOUBLE_QUESTION_MARK",S[S.QUESTION_EXCLAMATION_MARK=8264]="QUESTION_EXCLAMATION_MARK",S[S.EXCLAMATION_QUESTION_MARK=8265]="EXCLAMATION_QUESTION_MARK",S[S.TIRONIAN_SIGN_ET=8266]="TIRONIAN_SIGN_ET",S[S.REVERSED_PILCROW_SIGN=8267]="REVERSED_PILCROW_SIGN",S[S.BLACK_LEFTWARDS_BULLET=8268]="BLACK_LEFTWARDS_BULLET",S[S.BLACK_RIGHTWARDS_BULLET=8269]="BLACK_RIGHTWARDS_BULLET",S[S.LOW_ASTERISK=8270]="LOW_ASTERISK",S[S.REVERSED_SEMICOLON=8271]="REVERSED_SEMICOLON",S[S.CLOSE_UP=8272]="CLOSE_UP",S[S.TWO_ASTERISKS_ALIGNED_VERTICALLY=8273]="TWO_ASTERISKS_ALIGNED_VERTICALLY",S[S.SWUNG_DASH=8275]="SWUNG_DASH",S[S.FLOWER_PUNCTUATION_MARK=8277]="FLOWER_PUNCTUATION_MARK",S[S.THREE_DOT_PUNCTUATION=8278]="THREE_DOT_PUNCTUATION",S[S.QUADRUPLE_PRIME=8279]="QUADRUPLE_PRIME",S[S.FOUR_DOT_PUNCTUATION=8280]="FOUR_DOT_PUNCTUATION",S[S.FIVE_DOT_PUNCTUATION=8281]="FIVE_DOT_PUNCTUATION",S[S.TWO_DOT_PUNCTUATION=8282]="TWO_DOT_PUNCTUATION",S[S.FOUR_DOT_MARK=8283]="FOUR_DOT_MARK",S[S.DOTTED_CROSS=8284]="DOTTED_CROSS",S[S.TRICOLON=8285]="TRICOLON",S[S.VERTICAL_FOUR_DOTS=8286]="VERTICAL_FOUR_DOTS",S[S.COPTIC_OLD_NUBIAN_FULL_STOP=11513]="COPTIC_OLD_NUBIAN_FULL_STOP",S[S.COPTIC_OLD_NUBIAN_DIRECT_QUESTION_MARK=11514]="COPTIC_OLD_NUBIAN_DIRECT_QUESTION_MARK",S[S.COPTIC_OLD_NUBIAN_INDIRECT_QUESTION_MARK=11515]="COPTIC_OLD_NUBIAN_INDIRECT_QUESTION_MARK",S[S.COPTIC_OLD_NUBIAN_VERSE_DIVIDER=11516]="COPTIC_OLD_NUBIAN_VERSE_DIVIDER",S[S.COPTIC_FULL_STOP=11518]="COPTIC_FULL_STOP",S[S.COPTIC_MORPHOLOGICAL_DIVIDER=11519]="COPTIC_MORPHOLOGICAL_DIVIDER",S[S.TIFINAGH_SEPARATOR_MARK=11632]="TIFINAGH_SEPARATOR_MARK",S[S.RIGHT_ANGLE_SUBSTITUTION_MARKER=11776]="RIGHT_ANGLE_SUBSTITUTION_MARKER",S[S.RIGHT_ANGLE_DOTTED_SUBSTITUTION_MARKER=11777]="RIGHT_ANGLE_DOTTED_SUBSTITUTION_MARKER",S[S.RAISED_INTERPOLATION_MARKER=11782]="RAISED_INTERPOLATION_MARKER",S[S.RAISED_DOTTED_INTERPOLATION_MARKER=11783]="RAISED_DOTTED_INTERPOLATION_MARKER",S[S.DOTTED_TRANSPOSITION_MARKER=11784]="DOTTED_TRANSPOSITION_MARKER",S[S.RAISED_SQUARE=11787]="RAISED_SQUARE",S[S.EDITORIAL_CORONIS=11790]="EDITORIAL_CORONIS",S[S.PARAGRAPHOS=11791]="PARAGRAPHOS",S[S.FORKED_PARAGRAPHOS=11792]="FORKED_PARAGRAPHOS",S[S.REVERSED_FORKED_PARAGRAPHOS=11793]="REVERSED_FORKED_PARAGRAPHOS",S[S.HYPODIASTOLE=11794]="HYPODIASTOLE",S[S.DOTTED_OBELOS=11795]="DOTTED_OBELOS",S[S.DOWNWARDS_ANCORA=11796]="DOWNWARDS_ANCORA",S[S.UPWARDS_ANCORA=11797]="UPWARDS_ANCORA",S[S.DOTTED_RIGHT_POINTING_ANGLE=11798]="DOTTED_RIGHT_POINTING_ANGLE",S[S.INVERTED_INTERROBANG=11800]="INVERTED_INTERROBANG",S[S.PALM_BRANCH=11801]="PALM_BRANCH",S[S.TILDE_WITH_RING_ABOVE=11803]="TILDE_WITH_RING_ABOVE",S[S.TILDE_WITH_DOT_ABOVE=11806]="TILDE_WITH_DOT_ABOVE",S[S.TILDE_WITH_DOT_BELOW=11807]="TILDE_WITH_DOT_BELOW",S[S.TWO_DOTS_OVER_ONE_DOT_PUNCTUATION=11818]="TWO_DOTS_OVER_ONE_DOT_PUNCTUATION",S[S.ONE_DOT_OVER_TWO_DOTS_PUNCTUATION=11819]="ONE_DOT_OVER_TWO_DOTS_PUNCTUATION",S[S.SQUARED_FOUR_DOT_PUNCTUATION=11820]="SQUARED_FOUR_DOT_PUNCTUATION",S[S.FIVE_DOT_MARK=11821]="FIVE_DOT_MARK",S[S.REVERSED_QUESTION_MARK=11822]="REVERSED_QUESTION_MARK",S[S.RING_POINT=11824]="RING_POINT",S[S.WORD_SEPARATOR_MIDDLE_DOT=11825]="WORD_SEPARATOR_MIDDLE_DOT",S[S.TURNED_COMMA=11826]="TURNED_COMMA",S[S.RAISED_DOT=11827]="RAISED_DOT",S[S.RAISED_COMMA=11828]="RAISED_COMMA",S[S.TURNED_SEMICOLON=11829]="TURNED_SEMICOLON",S[S.DAGGER_WITH_LEFT_GUARD=11830]="DAGGER_WITH_LEFT_GUARD",S[S.DAGGER_WITH_RIGHT_GUARD=11831]="DAGGER_WITH_RIGHT_GUARD",S[S.TURNED_DAGGER=11832]="TURNED_DAGGER",S[S.TOP_HALF_SECTION_SIGN=11833]="TOP_HALF_SECTION_SIGN",S[S.STENOGRAPHIC_FULL_STOP=11836]="STENOGRAPHIC_FULL_STOP",S[S.VERTICAL_SIX_DOTS=11837]="VERTICAL_SIX_DOTS",S[S.WIGGLY_VERTICAL_LINE=11838]="WIGGLY_VERTICAL_LINE",S[S.CAPITULUM=11839]="CAPITULUM",S[S.REVERSED_COMMA=11841]="REVERSED_COMMA",S[S.DASH_WITH_LEFT_UPTURN=11843]="DASH_WITH_LEFT_UPTURN",S[S.DOUBLE_SUSPENSION_MARK=11844]="DOUBLE_SUSPENSION_MARK",S[S.INVERTED_LOW_KAVYKA=11845]="INVERTED_LOW_KAVYKA",S[S.INVERTED_LOW_KAVYKA_WITH_KAVYKA_ABOVE=11846]="INVERTED_LOW_KAVYKA_WITH_KAVYKA_ABOVE",S[S.LOW_KAVYKA=11847]="LOW_KAVYKA",S[S.LOW_KAVYKA_WITH_DOT=11848]="LOW_KAVYKA_WITH_DOT",S[S.DOUBLE_STACKED_COMMA=11849]="DOUBLE_STACKED_COMMA",S[S.DOTTED_SOLIDUS=11850]="DOTTED_SOLIDUS",S[S.TRIPLE_DAGGER=11851]="TRIPLE_DAGGER",S[S.MEDIEVAL_COMMA=11852]="MEDIEVAL_COMMA",S[S.PARAGRAPHUS_MARK=11853]="PARAGRAPHUS_MARK",S[S.PUNCTUS_ELEVATUS_MARK=11854]="PUNCTUS_ELEVATUS_MARK",S[S.CORNISH_VERSE_DIVIDER=11855]="CORNISH_VERSE_DIVIDER",S[S.TIRONIAN_SIGN_CAPITAL_ET=11858]="TIRONIAN_SIGN_CAPITAL_ET",S[S.IDEOGRAPHIC_COMMA=12289]="IDEOGRAPHIC_COMMA",S[S.IDEOGRAPHIC_FULL_STOP=12290]="IDEOGRAPHIC_FULL_STOP",S[S.DITTO_MARK=12291]="DITTO_MARK",S[S.PART_ALTERNATION_MARK=12349]="PART_ALTERNATION_MARK",S[S.KATAKANA_MIDDLE_DOT=12539]="KATAKANA_MIDDLE_DOT",S[S.LISU_PUNCTUATION_COMMA=42238]="LISU_PUNCTUATION_COMMA",S[S.LISU_PUNCTUATION_FULL_STOP=42239]="LISU_PUNCTUATION_FULL_STOP",S[S.VAI_COMMA=42509]="VAI_COMMA",S[S.VAI_FULL_STOP=42510]="VAI_FULL_STOP",S[S.VAI_QUESTION_MARK=42511]="VAI_QUESTION_MARK",S[S.SLAVONIC_ASTERISK=42611]="SLAVONIC_ASTERISK",S[S.CYRILLIC_KAVYKA=42622]="CYRILLIC_KAVYKA",S[S.BAMUM_NJAEMLI=42738]="BAMUM_NJAEMLI",S[S.BAMUM_FULL_STOP=42739]="BAMUM_FULL_STOP",S[S.BAMUM_COLON=42740]="BAMUM_COLON",S[S.BAMUM_COMMA=42741]="BAMUM_COMMA",S[S.BAMUM_SEMICOLON=42742]="BAMUM_SEMICOLON",S[S.BAMUM_QUESTION_MARK=42743]="BAMUM_QUESTION_MARK",S[S.PHAGS_PA_SINGLE_HEAD_MARK=43124]="PHAGS_PA_SINGLE_HEAD_MARK",S[S.PHAGS_PA_DOUBLE_HEAD_MARK=43125]="PHAGS_PA_DOUBLE_HEAD_MARK",S[S.PHAGS_PA_MARK_SHAD=43126]="PHAGS_PA_MARK_SHAD",S[S.PHAGS_PA_MARK_DOUBLE_SHAD=43127]="PHAGS_PA_MARK_DOUBLE_SHAD",S[S.SAURASHTRA_DANDA=43214]="SAURASHTRA_DANDA",S[S.SAURASHTRA_DOUBLE_DANDA=43215]="SAURASHTRA_DOUBLE_DANDA",S[S.DEVANAGARI_SIGN_PUSHPIKA=43256]="DEVANAGARI_SIGN_PUSHPIKA",S[S.DEVANAGARI_GAP_FILLER=43257]="DEVANAGARI_GAP_FILLER",S[S.DEVANAGARI_CARET=43258]="DEVANAGARI_CARET",S[S.DEVANAGARI_SIGN_SIDDHAM=43260]="DEVANAGARI_SIGN_SIDDHAM",S[S.KAYAH_LI_SIGN_CWI=43310]="KAYAH_LI_SIGN_CWI",S[S.KAYAH_LI_SIGN_SHYA=43311]="KAYAH_LI_SIGN_SHYA",S[S.REJANG_SECTION_MARK=43359]="REJANG_SECTION_MARK",S[S.JAVANESE_LEFT_RERENGGAN=43457]="JAVANESE_LEFT_RERENGGAN",S[S.JAVANESE_RIGHT_RERENGGAN=43458]="JAVANESE_RIGHT_RERENGGAN",S[S.JAVANESE_PADA_ANDAP=43459]="JAVANESE_PADA_ANDAP",S[S.JAVANESE_PADA_MADYA=43460]="JAVANESE_PADA_MADYA",S[S.JAVANESE_PADA_LUHUR=43461]="JAVANESE_PADA_LUHUR",S[S.JAVANESE_PADA_WINDU=43462]="JAVANESE_PADA_WINDU",S[S.JAVANESE_PADA_PANGKAT=43463]="JAVANESE_PADA_PANGKAT",S[S.JAVANESE_PADA_LINGSA=43464]="JAVANESE_PADA_LINGSA",S[S.JAVANESE_PADA_LUNGSI=43465]="JAVANESE_PADA_LUNGSI",S[S.JAVANESE_PADA_ADEG=43466]="JAVANESE_PADA_ADEG",S[S.JAVANESE_PADA_ADEG_ADEG=43467]="JAVANESE_PADA_ADEG_ADEG",S[S.JAVANESE_PADA_PISELEH=43468]="JAVANESE_PADA_PISELEH",S[S.JAVANESE_TURNED_PADA_PISELEH=43469]="JAVANESE_TURNED_PADA_PISELEH",S[S.JAVANESE_PADA_TIRTA_TUMETES=43486]="JAVANESE_PADA_TIRTA_TUMETES",S[S.JAVANESE_PADA_ISEN_ISEN=43487]="JAVANESE_PADA_ISEN_ISEN",S[S.CHAM_PUNCTUATION_SPIRAL=43612]="CHAM_PUNCTUATION_SPIRAL",S[S.CHAM_PUNCTUATION_DANDA=43613]="CHAM_PUNCTUATION_DANDA",S[S.CHAM_PUNCTUATION_DOUBLE_DANDA=43614]="CHAM_PUNCTUATION_DOUBLE_DANDA",S[S.CHAM_PUNCTUATION_TRIPLE_DANDA=43615]="CHAM_PUNCTUATION_TRIPLE_DANDA",S[S.TAI_VIET_SYMBOL_HO_HOI=43742]="TAI_VIET_SYMBOL_HO_HOI",S[S.TAI_VIET_SYMBOL_KOI_KOI=43743]="TAI_VIET_SYMBOL_KOI_KOI",S[S.MEETEI_MAYEK_CHEIKHAN=43760]="MEETEI_MAYEK_CHEIKHAN",S[S.MEETEI_MAYEK_AHANG_KHUDAM=43761]="MEETEI_MAYEK_AHANG_KHUDAM",S[S.MEETEI_MAYEK_CHEIKHEI=44011]="MEETEI_MAYEK_CHEIKHEI",S[S.PRESENTATION_FORM_FOR_VERTICAL_COMMA=65040]="PRESENTATION_FORM_FOR_VERTICAL_COMMA",S[S.PRESENTATION_FORM_FOR_VERTICAL_IDEOGRAPHIC_COMMA=65041]="PRESENTATION_FORM_FOR_VERTICAL_IDEOGRAPHIC_COMMA",S[S.PRESENTATION_FORM_FOR_VERTICAL_IDEOGRAPHIC_FULL_STOP=65042]="PRESENTATION_FORM_FOR_VERTICAL_IDEOGRAPHIC_FULL_STOP",S[S.PRESENTATION_FORM_FOR_VERTICAL_COLON=65043]="PRESENTATION_FORM_FOR_VERTICAL_COLON",S[S.PRESENTATION_FORM_FOR_VERTICAL_SEMICOLON=65044]="PRESENTATION_FORM_FOR_VERTICAL_SEMICOLON",S[S.PRESENTATION_FORM_FOR_VERTICAL_EXCLAMATION_MARK=65045]="PRESENTATION_FORM_FOR_VERTICAL_EXCLAMATION_MARK",S[S.PRESENTATION_FORM_FOR_VERTICAL_QUESTION_MARK=65046]="PRESENTATION_FORM_FOR_VERTICAL_QUESTION_MARK",S[S.PRESENTATION_FORM_FOR_VERTICAL_HORIZONTAL_ELLIPSIS=65049]="PRESENTATION_FORM_FOR_VERTICAL_HORIZONTAL_ELLIPSIS",S[S.PRESENTATION_FORM_FOR_VERTICAL_TWO_DOT_LEADER=65072]="PRESENTATION_FORM_FOR_VERTICAL_TWO_DOT_LEADER",S[S.SESAME_DOT=65093]="SESAME_DOT",S[S.WHITE_SESAME_DOT=65094]="WHITE_SESAME_DOT",S[S.DASHED_OVERLINE=65097]="DASHED_OVERLINE",S[S.CENTRELINE_OVERLINE=65098]="CENTRELINE_OVERLINE",S[S.WAVY_OVERLINE=65099]="WAVY_OVERLINE",S[S.DOUBLE_WAVY_OVERLINE=65100]="DOUBLE_WAVY_OVERLINE",S[S.SMALL_COMMA=65104]="SMALL_COMMA",S[S.SMALL_IDEOGRAPHIC_COMMA=65105]="SMALL_IDEOGRAPHIC_COMMA",S[S.SMALL_FULL_STOP=65106]="SMALL_FULL_STOP",S[S.SMALL_SEMICOLON=65108]="SMALL_SEMICOLON",S[S.SMALL_COLON=65109]="SMALL_COLON",S[S.SMALL_QUESTION_MARK=65110]="SMALL_QUESTION_MARK",S[S.SMALL_EXCLAMATION_MARK=65111]="SMALL_EXCLAMATION_MARK",S[S.SMALL_NUMBER_SIGN=65119]="SMALL_NUMBER_SIGN",S[S.SMALL_AMPERSAND=65120]="SMALL_AMPERSAND",S[S.SMALL_ASTERISK=65121]="SMALL_ASTERISK",S[S.SMALL_REVERSE_SOLIDUS=65128]="SMALL_REVERSE_SOLIDUS",S[S.SMALL_PERCENT_SIGN=65130]="SMALL_PERCENT_SIGN",S[S.SMALL_COMMERCIAL_AT=65131]="SMALL_COMMERCIAL_AT",S[S.FULLWIDTH_EXCLAMATION_MARK=65281]="FULLWIDTH_EXCLAMATION_MARK",S[S.FULLWIDTH_QUOTATION_MARK=65282]="FULLWIDTH_QUOTATION_MARK",S[S.FULLWIDTH_NUMBER_SIGN=65283]="FULLWIDTH_NUMBER_SIGN",S[S.FULLWIDTH_PERCENT_SIGN=65285]="FULLWIDTH_PERCENT_SIGN",S[S.FULLWIDTH_AMPERSAND=65286]="FULLWIDTH_AMPERSAND",S[S.FULLWIDTH_APOSTROPHE=65287]="FULLWIDTH_APOSTROPHE",S[S.FULLWIDTH_ASTERISK=65290]="FULLWIDTH_ASTERISK",S[S.FULLWIDTH_COMMA=65292]="FULLWIDTH_COMMA",S[S.FULLWIDTH_FULL_STOP=65294]="FULLWIDTH_FULL_STOP",S[S.FULLWIDTH_SOLIDUS=65295]="FULLWIDTH_SOLIDUS",S[S.FULLWIDTH_COLON=65306]="FULLWIDTH_COLON",S[S.FULLWIDTH_SEMICOLON=65307]="FULLWIDTH_SEMICOLON",S[S.FULLWIDTH_QUESTION_MARK=65311]="FULLWIDTH_QUESTION_MARK",S[S.FULLWIDTH_COMMERCIAL_AT=65312]="FULLWIDTH_COMMERCIAL_AT",S[S.FULLWIDTH_REVERSE_SOLIDUS=65340]="FULLWIDTH_REVERSE_SOLIDUS",S[S.HALFWIDTH_IDEOGRAPHIC_FULL_STOP=65377]="HALFWIDTH_IDEOGRAPHIC_FULL_STOP",S[S.HALFWIDTH_IDEOGRAPHIC_COMMA=65380]="HALFWIDTH_IDEOGRAPHIC_COMMA",S[S.HALFWIDTH_KATAKANA_MIDDLE_DOT=65381]="HALFWIDTH_KATAKANA_MIDDLE_DOT",S[S.AEGEAN_WORD_SEPARATOR_LINE=65792]="AEGEAN_WORD_SEPARATOR_LINE",S[S.AEGEAN_WORD_SEPARATOR_DOT=65793]="AEGEAN_WORD_SEPARATOR_DOT",S[S.AEGEAN_CHECK_MARK=65794]="AEGEAN_CHECK_MARK",S[S.UGARITIC_WORD_DIVIDER=66463]="UGARITIC_WORD_DIVIDER",S[S.OLD_PERSIAN_WORD_DIVIDER=66512]="OLD_PERSIAN_WORD_DIVIDER",S[S.CAUCASIAN_ALBANIAN_CITATION_MARK=66927]="CAUCASIAN_ALBANIAN_CITATION_MARK",S[S.IMPERIAL_ARAMAIC_SECTION_SIGN=67671]="IMPERIAL_ARAMAIC_SECTION_SIGN",S[S.PHOENICIAN_WORD_SEPARATOR=67871]="PHOENICIAN_WORD_SEPARATOR",S[S.LYDIAN_TRIANGULAR_MARK=67903]="LYDIAN_TRIANGULAR_MARK",S[S.KHAROSHTHI_PUNCTUATION_DOT=68176]="KHAROSHTHI_PUNCTUATION_DOT",S[S.KHAROSHTHI_PUNCTUATION_SMALL_CIRCLE=68177]="KHAROSHTHI_PUNCTUATION_SMALL_CIRCLE",S[S.KHAROSHTHI_PUNCTUATION_CIRCLE=68178]="KHAROSHTHI_PUNCTUATION_CIRCLE",S[S.KHAROSHTHI_PUNCTUATION_CRESCENT_BAR=68179]="KHAROSHTHI_PUNCTUATION_CRESCENT_BAR",S[S.KHAROSHTHI_PUNCTUATION_MANGALAM=68180]="KHAROSHTHI_PUNCTUATION_MANGALAM",S[S.KHAROSHTHI_PUNCTUATION_LOTUS=68181]="KHAROSHTHI_PUNCTUATION_LOTUS",S[S.KHAROSHTHI_PUNCTUATION_DANDA=68182]="KHAROSHTHI_PUNCTUATION_DANDA",S[S.KHAROSHTHI_PUNCTUATION_DOUBLE_DANDA=68183]="KHAROSHTHI_PUNCTUATION_DOUBLE_DANDA",S[S.KHAROSHTHI_PUNCTUATION_LINES=68184]="KHAROSHTHI_PUNCTUATION_LINES",S[S.OLD_SOUTH_ARABIAN_NUMERIC_INDICATOR=68223]="OLD_SOUTH_ARABIAN_NUMERIC_INDICATOR",S[S.MANICHAEAN_PUNCTUATION_STAR=68336]="MANICHAEAN_PUNCTUATION_STAR",S[S.MANICHAEAN_PUNCTUATION_FLEURON=68337]="MANICHAEAN_PUNCTUATION_FLEURON",S[S.MANICHAEAN_PUNCTUATION_DOUBLE_DOT_WITHIN_DOT=68338]="MANICHAEAN_PUNCTUATION_DOUBLE_DOT_WITHIN_DOT",S[S.MANICHAEAN_PUNCTUATION_DOT_WITHIN_DOT=68339]="MANICHAEAN_PUNCTUATION_DOT_WITHIN_DOT",S[S.MANICHAEAN_PUNCTUATION_DOT=68340]="MANICHAEAN_PUNCTUATION_DOT",S[S.MANICHAEAN_PUNCTUATION_TWO_DOTS=68341]="MANICHAEAN_PUNCTUATION_TWO_DOTS",S[S.MANICHAEAN_PUNCTUATION_LINE_FILLER=68342]="MANICHAEAN_PUNCTUATION_LINE_FILLER",S[S.AVESTAN_ABBREVIATION_MARK=68409]="AVESTAN_ABBREVIATION_MARK",S[S.TINY_TWO_DOTS_OVER_ONE_DOT_PUNCTUATION=68410]="TINY_TWO_DOTS_OVER_ONE_DOT_PUNCTUATION",S[S.SMALL_TWO_DOTS_OVER_ONE_DOT_PUNCTUATION=68411]="SMALL_TWO_DOTS_OVER_ONE_DOT_PUNCTUATION",S[S.LARGE_TWO_DOTS_OVER_ONE_DOT_PUNCTUATION=68412]="LARGE_TWO_DOTS_OVER_ONE_DOT_PUNCTUATION",S[S.LARGE_ONE_DOT_OVER_TWO_DOTS_PUNCTUATION=68413]="LARGE_ONE_DOT_OVER_TWO_DOTS_PUNCTUATION",S[S.LARGE_TWO_RINGS_OVER_ONE_RING_PUNCTUATION=68414]="LARGE_TWO_RINGS_OVER_ONE_RING_PUNCTUATION",S[S.LARGE_ONE_RING_OVER_TWO_RINGS_PUNCTUATION=68415]="LARGE_ONE_RING_OVER_TWO_RINGS_PUNCTUATION",S[S.PSALTER_PAHLAVI_SECTION_MARK=68505]="PSALTER_PAHLAVI_SECTION_MARK",S[S.PSALTER_PAHLAVI_TURNED_SECTION_MARK=68506]="PSALTER_PAHLAVI_TURNED_SECTION_MARK",S[S.PSALTER_PAHLAVI_FOUR_DOTS_WITH_CROSS=68507]="PSALTER_PAHLAVI_FOUR_DOTS_WITH_CROSS",S[S.PSALTER_PAHLAVI_FOUR_DOTS_WITH_DOT=68508]="PSALTER_PAHLAVI_FOUR_DOTS_WITH_DOT",S[S.SOGDIAN_PUNCTUATION_TWO_VERTICAL_BARS=69461]="SOGDIAN_PUNCTUATION_TWO_VERTICAL_BARS",S[S.SOGDIAN_PUNCTUATION_TWO_VERTICAL_BARS_WITH_DOTS=69462]="SOGDIAN_PUNCTUATION_TWO_VERTICAL_BARS_WITH_DOTS",S[S.SOGDIAN_PUNCTUATION_CIRCLE_WITH_DOT=69463]="SOGDIAN_PUNCTUATION_CIRCLE_WITH_DOT",S[S.SOGDIAN_PUNCTUATION_TWO_CIRCLES_WITH_DOTS=69464]="SOGDIAN_PUNCTUATION_TWO_CIRCLES_WITH_DOTS",S[S.SOGDIAN_PUNCTUATION_HALF_CIRCLE_WITH_DOT=69465]="SOGDIAN_PUNCTUATION_HALF_CIRCLE_WITH_DOT",S[S.BRAHMI_DANDA=69703]="BRAHMI_DANDA",S[S.BRAHMI_DOUBLE_DANDA=69704]="BRAHMI_DOUBLE_DANDA",S[S.BRAHMI_PUNCTUATION_DOT=69705]="BRAHMI_PUNCTUATION_DOT",S[S.BRAHMI_PUNCTUATION_DOUBLE_DOT=69706]="BRAHMI_PUNCTUATION_DOUBLE_DOT",S[S.BRAHMI_PUNCTUATION_LINE=69707]="BRAHMI_PUNCTUATION_LINE",S[S.BRAHMI_PUNCTUATION_CRESCENT_BAR=69708]="BRAHMI_PUNCTUATION_CRESCENT_BAR",S[S.BRAHMI_PUNCTUATION_LOTUS=69709]="BRAHMI_PUNCTUATION_LOTUS",S[S.KAITHI_ABBREVIATION_SIGN=69819]="KAITHI_ABBREVIATION_SIGN",S[S.KAITHI_ENUMERATION_SIGN=69820]="KAITHI_ENUMERATION_SIGN",S[S.KAITHI_SECTION_MARK=69822]="KAITHI_SECTION_MARK",S[S.KAITHI_DOUBLE_SECTION_MARK=69823]="KAITHI_DOUBLE_SECTION_MARK",S[S.KAITHI_DANDA=69824]="KAITHI_DANDA",S[S.KAITHI_DOUBLE_DANDA=69825]="KAITHI_DOUBLE_DANDA",S[S.CHAKMA_SECTION_MARK=69952]="CHAKMA_SECTION_MARK",S[S.CHAKMA_DANDA=69953]="CHAKMA_DANDA",S[S.CHAKMA_DOUBLE_DANDA=69954]="CHAKMA_DOUBLE_DANDA",S[S.CHAKMA_QUESTION_MARK=69955]="CHAKMA_QUESTION_MARK",S[S.MAHAJANI_ABBREVIATION_SIGN=70004]="MAHAJANI_ABBREVIATION_SIGN",S[S.MAHAJANI_SECTION_MARK=70005]="MAHAJANI_SECTION_MARK",S[S.SHARADA_DANDA=70085]="SHARADA_DANDA",S[S.SHARADA_DOUBLE_DANDA=70086]="SHARADA_DOUBLE_DANDA",S[S.SHARADA_ABBREVIATION_SIGN=70087]="SHARADA_ABBREVIATION_SIGN",S[S.SHARADA_SEPARATOR=70088]="SHARADA_SEPARATOR",S[S.SHARADA_SUTRA_MARK=70093]="SHARADA_SUTRA_MARK",S[S.SHARADA_SIGN_SIDDHAM=70107]="SHARADA_SIGN_SIDDHAM",S[S.SHARADA_CONTINUATION_SIGN=70109]="SHARADA_CONTINUATION_SIGN",S[S.SHARADA_SECTION_MARK_1=70110]="SHARADA_SECTION_MARK_1",S[S.SHARADA_SECTION_MARK_2=70111]="SHARADA_SECTION_MARK_2",S[S.KHOJKI_DANDA=70200]="KHOJKI_DANDA",S[S.KHOJKI_DOUBLE_DANDA=70201]="KHOJKI_DOUBLE_DANDA",S[S.KHOJKI_WORD_SEPARATOR=70202]="KHOJKI_WORD_SEPARATOR",S[S.KHOJKI_SECTION_MARK=70203]="KHOJKI_SECTION_MARK",S[S.KHOJKI_DOUBLE_SECTION_MARK=70204]="KHOJKI_DOUBLE_SECTION_MARK",S[S.KHOJKI_ABBREVIATION_SIGN=70205]="KHOJKI_ABBREVIATION_SIGN",S[S.MULTANI_SECTION_MARK=70313]="MULTANI_SECTION_MARK",S[S.NEWA_DANDA=70731]="NEWA_DANDA",S[S.NEWA_DOUBLE_DANDA=70732]="NEWA_DOUBLE_DANDA",S[S.NEWA_COMMA=70733]="NEWA_COMMA",S[S.NEWA_GAP_FILLER=70734]="NEWA_GAP_FILLER",S[S.NEWA_ABBREVIATION_SIGN=70735]="NEWA_ABBREVIATION_SIGN",S[S.NEWA_DOUBLE_COMMA=70746]="NEWA_DOUBLE_COMMA",S[S.NEWA_PLACEHOLDER_MARK=70747]="NEWA_PLACEHOLDER_MARK",S[S.NEWA_INSERTION_SIGN=70749]="NEWA_INSERTION_SIGN",S[S.TIRHUTA_ABBREVIATION_SIGN=70854]="TIRHUTA_ABBREVIATION_SIGN",S[S.SIDDHAM_SIGN_SIDDHAM=71105]="SIDDHAM_SIGN_SIDDHAM",S[S.SIDDHAM_DANDA=71106]="SIDDHAM_DANDA",S[S.SIDDHAM_DOUBLE_DANDA=71107]="SIDDHAM_DOUBLE_DANDA",S[S.SIDDHAM_SEPARATOR_DOT=71108]="SIDDHAM_SEPARATOR_DOT",S[S.SIDDHAM_SEPARATOR_BAR=71109]="SIDDHAM_SEPARATOR_BAR",S[S.SIDDHAM_REPETITION_MARK_1=71110]="SIDDHAM_REPETITION_MARK_1",S[S.SIDDHAM_REPETITION_MARK_2=71111]="SIDDHAM_REPETITION_MARK_2",S[S.SIDDHAM_REPETITION_MARK_3=71112]="SIDDHAM_REPETITION_MARK_3",S[S.SIDDHAM_END_OF_TEXT_MARK=71113]="SIDDHAM_END_OF_TEXT_MARK",S[S.SIDDHAM_SECTION_MARK_WITH_TRIDENT_AND_U_SHAPED_ORNAMENTS=71114]="SIDDHAM_SECTION_MARK_WITH_TRIDENT_AND_U_SHAPED_ORNAMENTS",S[S.SIDDHAM_SECTION_MARK_WITH_TRIDENT_AND_DOTTED_CRESCENTS=71115]="SIDDHAM_SECTION_MARK_WITH_TRIDENT_AND_DOTTED_CRESCENTS",S[S.SIDDHAM_SECTION_MARK_WITH_RAYS_AND_DOTTED_CRESCENTS=71116]="SIDDHAM_SECTION_MARK_WITH_RAYS_AND_DOTTED_CRESCENTS",S[S.SIDDHAM_SECTION_MARK_WITH_RAYS_AND_DOTTED_DOUBLE_CRESCENTS=71117]="SIDDHAM_SECTION_MARK_WITH_RAYS_AND_DOTTED_DOUBLE_CRESCENTS",S[S.SIDDHAM_SECTION_MARK_WITH_RAYS_AND_DOTTED_TRIPLE_CRESCENTS=71118]="SIDDHAM_SECTION_MARK_WITH_RAYS_AND_DOTTED_TRIPLE_CRESCENTS",S[S.SIDDHAM_SECTION_MARK_DOUBLE_RING=71119]="SIDDHAM_SECTION_MARK_DOUBLE_RING",S[S.SIDDHAM_SECTION_MARK_DOUBLE_RING_WITH_RAYS=71120]="SIDDHAM_SECTION_MARK_DOUBLE_RING_WITH_RAYS",S[S.SIDDHAM_SECTION_MARK_WITH_DOUBLE_CRESCENTS=71121]="SIDDHAM_SECTION_MARK_WITH_DOUBLE_CRESCENTS",S[S.SIDDHAM_SECTION_MARK_WITH_TRIPLE_CRESCENTS=71122]="SIDDHAM_SECTION_MARK_WITH_TRIPLE_CRESCENTS",S[S.SIDDHAM_SECTION_MARK_WITH_QUADRUPLE_CRESCENTS=71123]="SIDDHAM_SECTION_MARK_WITH_QUADRUPLE_CRESCENTS",S[S.SIDDHAM_SECTION_MARK_WITH_SEPTUPLE_CRESCENTS=71124]="SIDDHAM_SECTION_MARK_WITH_SEPTUPLE_CRESCENTS",S[S.SIDDHAM_SECTION_MARK_WITH_CIRCLES_AND_RAYS=71125]="SIDDHAM_SECTION_MARK_WITH_CIRCLES_AND_RAYS",S[S.SIDDHAM_SECTION_MARK_WITH_CIRCLES_AND_TWO_ENCLOSURES=71126]="SIDDHAM_SECTION_MARK_WITH_CIRCLES_AND_TWO_ENCLOSURES",S[S.SIDDHAM_SECTION_MARK_WITH_CIRCLES_AND_FOUR_ENCLOSURES=71127]="SIDDHAM_SECTION_MARK_WITH_CIRCLES_AND_FOUR_ENCLOSURES",S[S.MODI_DANDA=71233]="MODI_DANDA",S[S.MODI_DOUBLE_DANDA=71234]="MODI_DOUBLE_DANDA",S[S.MODI_ABBREVIATION_SIGN=71235]="MODI_ABBREVIATION_SIGN",S[S.MONGOLIAN_BIRGA_WITH_ORNAMENT=71264]="MONGOLIAN_BIRGA_WITH_ORNAMENT",S[S.MONGOLIAN_ROTATED_BIRGA=71265]="MONGOLIAN_ROTATED_BIRGA",S[S.MONGOLIAN_DOUBLE_BIRGA_WITH_ORNAMENT=71266]="MONGOLIAN_DOUBLE_BIRGA_WITH_ORNAMENT",S[S.MONGOLIAN_TRIPLE_BIRGA_WITH_ORNAMENT=71267]="MONGOLIAN_TRIPLE_BIRGA_WITH_ORNAMENT",S[S.MONGOLIAN_BIRGA_WITH_DOUBLE_ORNAMENT=71268]="MONGOLIAN_BIRGA_WITH_DOUBLE_ORNAMENT",S[S.MONGOLIAN_ROTATED_BIRGA_WITH_ORNAMENT=71269]="MONGOLIAN_ROTATED_BIRGA_WITH_ORNAMENT",S[S.MONGOLIAN_ROTATED_BIRGA_WITH_DOUBLE_ORNAMENT=71270]="MONGOLIAN_ROTATED_BIRGA_WITH_DOUBLE_ORNAMENT",S[S.MONGOLIAN_INVERTED_BIRGA=71271]="MONGOLIAN_INVERTED_BIRGA",S[S.MONGOLIAN_INVERTED_BIRGA_WITH_DOUBLE_ORNAMENT=71272]="MONGOLIAN_INVERTED_BIRGA_WITH_DOUBLE_ORNAMENT",S[S.MONGOLIAN_SWIRL_BIRGA=71273]="MONGOLIAN_SWIRL_BIRGA",S[S.MONGOLIAN_SWIRL_BIRGA_WITH_ORNAMENT=71274]="MONGOLIAN_SWIRL_BIRGA_WITH_ORNAMENT",S[S.MONGOLIAN_SWIRL_BIRGA_WITH_DOUBLE_ORNAMENT=71275]="MONGOLIAN_SWIRL_BIRGA_WITH_DOUBLE_ORNAMENT",S[S.MONGOLIAN_TURNED_SWIRL_BIRGA_WITH_DOUBLE_ORNAMENT=71276]="MONGOLIAN_TURNED_SWIRL_BIRGA_WITH_DOUBLE_ORNAMENT",S[S.AHOM_SIGN_SMALL_SECTION=71484]="AHOM_SIGN_SMALL_SECTION",S[S.AHOM_SIGN_SECTION=71485]="AHOM_SIGN_SECTION",S[S.AHOM_SIGN_RULAI=71486]="AHOM_SIGN_RULAI",S[S.DOGRA_ABBREVIATION_SIGN=71739]="DOGRA_ABBREVIATION_SIGN",S[S.DIVES_AKURU_DOUBLE_DANDA=72004]="DIVES_AKURU_DOUBLE_DANDA",S[S.DIVES_AKURU_GAP_FILLER=72005]="DIVES_AKURU_GAP_FILLER",S[S.DIVES_AKURU_END_OF_TEXT_MARK=72006]="DIVES_AKURU_END_OF_TEXT_MARK",S[S.NANDINAGARI_SIGN_SIDDHAM=72162]="NANDINAGARI_SIGN_SIDDHAM",S[S.ZANABAZAR_SQUARE_INITIAL_HEAD_MARK=72255]="ZANABAZAR_SQUARE_INITIAL_HEAD_MARK",S[S.ZANABAZAR_SQUARE_CLOSING_HEAD_MARK=72256]="ZANABAZAR_SQUARE_CLOSING_HEAD_MARK",S[S.ZANABAZAR_SQUARE_MARK_TSHEG=72257]="ZANABAZAR_SQUARE_MARK_TSHEG",S[S.ZANABAZAR_SQUARE_MARK_SHAD=72258]="ZANABAZAR_SQUARE_MARK_SHAD",S[S.ZANABAZAR_SQUARE_MARK_DOUBLE_SHAD=72259]="ZANABAZAR_SQUARE_MARK_DOUBLE_SHAD",S[S.ZANABAZAR_SQUARE_MARK_LONG_TSHEG=72260]="ZANABAZAR_SQUARE_MARK_LONG_TSHEG",S[S.ZANABAZAR_SQUARE_INITIAL_DOUBLE_LINED_HEAD_MARK=72261]="ZANABAZAR_SQUARE_INITIAL_DOUBLE_LINED_HEAD_MARK",S[S.ZANABAZAR_SQUARE_CLOSING_DOUBLE_LINED_HEAD_MARK=72262]="ZANABAZAR_SQUARE_CLOSING_DOUBLE_LINED_HEAD_MARK",S[S.SOYOMBO_MARK_TSHEG=72346]="SOYOMBO_MARK_TSHEG",S[S.SOYOMBO_MARK_SHAD=72347]="SOYOMBO_MARK_SHAD",S[S.SOYOMBO_MARK_DOUBLE_SHAD=72348]="SOYOMBO_MARK_DOUBLE_SHAD",S[S.SOYOMBO_HEAD_MARK_WITH_MOON_AND_SUN_AND_TRIPLE_FLAME=72350]="SOYOMBO_HEAD_MARK_WITH_MOON_AND_SUN_AND_TRIPLE_FLAME",S[S.SOYOMBO_HEAD_MARK_WITH_MOON_AND_SUN_AND_FLAME=72351]="SOYOMBO_HEAD_MARK_WITH_MOON_AND_SUN_AND_FLAME",S[S.SOYOMBO_HEAD_MARK_WITH_MOON_AND_SUN=72352]="SOYOMBO_HEAD_MARK_WITH_MOON_AND_SUN",S[S.SOYOMBO_TERMINAL_MARK_1=72353]="SOYOMBO_TERMINAL_MARK_1",S[S.SOYOMBO_TERMINAL_MARK_2=72354]="SOYOMBO_TERMINAL_MARK_2",S[S.BHAIKSUKI_DANDA=72769]="BHAIKSUKI_DANDA",S[S.BHAIKSUKI_DOUBLE_DANDA=72770]="BHAIKSUKI_DOUBLE_DANDA",S[S.BHAIKSUKI_WORD_SEPARATOR=72771]="BHAIKSUKI_WORD_SEPARATOR",S[S.BHAIKSUKI_GAP_FILLER_1=72772]="BHAIKSUKI_GAP_FILLER_1",S[S.BHAIKSUKI_GAP_FILLER_2=72773]="BHAIKSUKI_GAP_FILLER_2",S[S.MARCHEN_HEAD_MARK=72816]="MARCHEN_HEAD_MARK",S[S.MARCHEN_MARK_SHAD=72817]="MARCHEN_MARK_SHAD",S[S.MAKASAR_PASSIMBANG=73463]="MAKASAR_PASSIMBANG",S[S.MAKASAR_END_OF_SECTION=73464]="MAKASAR_END_OF_SECTION",S[S.TAMIL_PUNCTUATION_END_OF_TEXT=73727]="TAMIL_PUNCTUATION_END_OF_TEXT",S[S.CUNEIFORM_PUNCTUATION_SIGN_OLD_ASSYRIAN_WORD_DIVIDER=74864]="CUNEIFORM_PUNCTUATION_SIGN_OLD_ASSYRIAN_WORD_DIVIDER",S[S.CUNEIFORM_PUNCTUATION_SIGN_VERTICAL_COLON=74865]="CUNEIFORM_PUNCTUATION_SIGN_VERTICAL_COLON",S[S.CUNEIFORM_PUNCTUATION_SIGN_DIAGONAL_COLON=74866]="CUNEIFORM_PUNCTUATION_SIGN_DIAGONAL_COLON",S[S.CUNEIFORM_PUNCTUATION_SIGN_DIAGONAL_TRICOLON=74867]="CUNEIFORM_PUNCTUATION_SIGN_DIAGONAL_TRICOLON",S[S.CUNEIFORM_PUNCTUATION_SIGN_DIAGONAL_QUADCOLON=74868]="CUNEIFORM_PUNCTUATION_SIGN_DIAGONAL_QUADCOLON",S[S.MRO_DANDA=92782]="MRO_DANDA",S[S.MRO_DOUBLE_DANDA=92783]="MRO_DOUBLE_DANDA",S[S.BASSA_VAH_FULL_STOP=92917]="BASSA_VAH_FULL_STOP",S[S.PAHAWH_HMONG_SIGN_VOS_THOM=92983]="PAHAWH_HMONG_SIGN_VOS_THOM",S[S.PAHAWH_HMONG_SIGN_VOS_TSHAB_CEEB=92984]="PAHAWH_HMONG_SIGN_VOS_TSHAB_CEEB",S[S.PAHAWH_HMONG_SIGN_CIM_CHEEM=92985]="PAHAWH_HMONG_SIGN_CIM_CHEEM",S[S.PAHAWH_HMONG_SIGN_VOS_THIAB=92986]="PAHAWH_HMONG_SIGN_VOS_THIAB",S[S.PAHAWH_HMONG_SIGN_VOS_FEEM=92987]="PAHAWH_HMONG_SIGN_VOS_FEEM",S[S.PAHAWH_HMONG_SIGN_XAUS=92996]="PAHAWH_HMONG_SIGN_XAUS",S[S.MEDEFAIDRIN_COMMA=93847]="MEDEFAIDRIN_COMMA",S[S.MEDEFAIDRIN_FULL_STOP=93848]="MEDEFAIDRIN_FULL_STOP",S[S.MEDEFAIDRIN_SYMBOL_AIVA=93849]="MEDEFAIDRIN_SYMBOL_AIVA",S[S.MEDEFAIDRIN_EXCLAMATION_OH=93850]="MEDEFAIDRIN_EXCLAMATION_OH",S[S.OLD_CHINESE_HOOK_MARK=94178]="OLD_CHINESE_HOOK_MARK",S[S.DUPLOYAN_PUNCTUATION_CHINOOK_FULL_STOP=113823]="DUPLOYAN_PUNCTUATION_CHINOOK_FULL_STOP",S[S.SIGNWRITING_COMMA=121479]="SIGNWRITING_COMMA",S[S.SIGNWRITING_FULL_STOP=121480]="SIGNWRITING_FULL_STOP",S[S.SIGNWRITING_SEMICOLON=121481]="SIGNWRITING_SEMICOLON",S[S.SIGNWRITING_COLON=121482]="SIGNWRITING_COLON",S[S.SIGNWRITING_PARENTHESIS=121483]="SIGNWRITING_PARENTHESIS",S[S.ADLAM_INITIAL_EXCLAMATION_MARK=125278]="ADLAM_INITIAL_EXCLAMATION_MARK",S[S.ADLAM_INITIAL_QUESTION_MARK=125279]="ADLAM_INITIAL_QUESTION_MARK"})(UnicodePoCodePoint||(UnicodePoCodePoint={}));var UnicodePsCodePoint;(function(S){S[S.LEFT_PARENTHESIS=40]="LEFT_PARENTHESIS",S[S.LEFT_SQUARE_BRACKET=91]="LEFT_SQUARE_BRACKET",S[S.LEFT_CURLY_BRACKET=123]="LEFT_CURLY_BRACKET",S[S.TIBETAN_MARK_GUG_RTAGS_GYON=3898]="TIBETAN_MARK_GUG_RTAGS_GYON",S[S.TIBETAN_MARK_ANG_KHANG_GYON=3900]="TIBETAN_MARK_ANG_KHANG_GYON",S[S.OGHAM_FEATHER_MARK=5787]="OGHAM_FEATHER_MARK",S[S.SINGLE_LOW_9_QUOTATION_MARK=8218]="SINGLE_LOW_9_QUOTATION_MARK",S[S.DOUBLE_LOW_9_QUOTATION_MARK=8222]="DOUBLE_LOW_9_QUOTATION_MARK",S[S.LEFT_SQUARE_BRACKET_WITH_QUILL=8261]="LEFT_SQUARE_BRACKET_WITH_QUILL",S[S.SUPERSCRIPT_LEFT_PARENTHESIS=8317]="SUPERSCRIPT_LEFT_PARENTHESIS",S[S.SUBSCRIPT_LEFT_PARENTHESIS=8333]="SUBSCRIPT_LEFT_PARENTHESIS",S[S.LEFT_CEILING=8968]="LEFT_CEILING",S[S.LEFT_FLOOR=8970]="LEFT_FLOOR",S[S.LEFT_POINTING_ANGLE_BRACKET=9001]="LEFT_POINTING_ANGLE_BRACKET",S[S.MEDIUM_LEFT_PARENTHESIS_ORNAMENT=10088]="MEDIUM_LEFT_PARENTHESIS_ORNAMENT",S[S.MEDIUM_FLATTENED_LEFT_PARENTHESIS_ORNAMENT=10090]="MEDIUM_FLATTENED_LEFT_PARENTHESIS_ORNAMENT",S[S.MEDIUM_LEFT_POINTING_ANGLE_BRACKET_ORNAMENT=10092]="MEDIUM_LEFT_POINTING_ANGLE_BRACKET_ORNAMENT",S[S.HEAVY_LEFT_POINTING_ANGLE_QUOTATION_MARK_ORNAMENT=10094]="HEAVY_LEFT_POINTING_ANGLE_QUOTATION_MARK_ORNAMENT",S[S.HEAVY_LEFT_POINTING_ANGLE_BRACKET_ORNAMENT=10096]="HEAVY_LEFT_POINTING_ANGLE_BRACKET_ORNAMENT",S[S.LIGHT_LEFT_TORTOISE_SHELL_BRACKET_ORNAMENT=10098]="LIGHT_LEFT_TORTOISE_SHELL_BRACKET_ORNAMENT",S[S.MEDIUM_LEFT_CURLY_BRACKET_ORNAMENT=10100]="MEDIUM_LEFT_CURLY_BRACKET_ORNAMENT",S[S.LEFT_S_SHAPED_BAG_DELIMITER=10181]="LEFT_S_SHAPED_BAG_DELIMITER",S[S.MATHEMATICAL_LEFT_WHITE_SQUARE_BRACKET=10214]="MATHEMATICAL_LEFT_WHITE_SQUARE_BRACKET",S[S.MATHEMATICAL_LEFT_ANGLE_BRACKET=10216]="MATHEMATICAL_LEFT_ANGLE_BRACKET",S[S.MATHEMATICAL_LEFT_DOUBLE_ANGLE_BRACKET=10218]="MATHEMATICAL_LEFT_DOUBLE_ANGLE_BRACKET",S[S.MATHEMATICAL_LEFT_WHITE_TORTOISE_SHELL_BRACKET=10220]="MATHEMATICAL_LEFT_WHITE_TORTOISE_SHELL_BRACKET",S[S.MATHEMATICAL_LEFT_FLATTENED_PARENTHESIS=10222]="MATHEMATICAL_LEFT_FLATTENED_PARENTHESIS",S[S.LEFT_WHITE_CURLY_BRACKET=10627]="LEFT_WHITE_CURLY_BRACKET",S[S.LEFT_WHITE_PARENTHESIS=10629]="LEFT_WHITE_PARENTHESIS",S[S.Z_NOTATION_LEFT_IMAGE_BRACKET=10631]="Z_NOTATION_LEFT_IMAGE_BRACKET",S[S.Z_NOTATION_LEFT_BINDING_BRACKET=10633]="Z_NOTATION_LEFT_BINDING_BRACKET",S[S.LEFT_SQUARE_BRACKET_WITH_UNDERBAR=10635]="LEFT_SQUARE_BRACKET_WITH_UNDERBAR",S[S.LEFT_SQUARE_BRACKET_WITH_TICK_IN_TOP_CORNER=10637]="LEFT_SQUARE_BRACKET_WITH_TICK_IN_TOP_CORNER",S[S.LEFT_SQUARE_BRACKET_WITH_TICK_IN_BOTTOM_CORNER=10639]="LEFT_SQUARE_BRACKET_WITH_TICK_IN_BOTTOM_CORNER",S[S.LEFT_ANGLE_BRACKET_WITH_DOT=10641]="LEFT_ANGLE_BRACKET_WITH_DOT",S[S.LEFT_ARC_LESS_THAN_BRACKET=10643]="LEFT_ARC_LESS_THAN_BRACKET",S[S.DOUBLE_LEFT_ARC_GREATER_THAN_BRACKET=10645]="DOUBLE_LEFT_ARC_GREATER_THAN_BRACKET",S[S.LEFT_BLACK_TORTOISE_SHELL_BRACKET=10647]="LEFT_BLACK_TORTOISE_SHELL_BRACKET",S[S.LEFT_WIGGLY_FENCE=10712]="LEFT_WIGGLY_FENCE",S[S.LEFT_DOUBLE_WIGGLY_FENCE=10714]="LEFT_DOUBLE_WIGGLY_FENCE",S[S.LEFT_POINTING_CURVED_ANGLE_BRACKET=10748]="LEFT_POINTING_CURVED_ANGLE_BRACKET",S[S.TOP_LEFT_HALF_BRACKET=11810]="TOP_LEFT_HALF_BRACKET",S[S.BOTTOM_LEFT_HALF_BRACKET=11812]="BOTTOM_LEFT_HALF_BRACKET",S[S.LEFT_SIDEWAYS_U_BRACKET=11814]="LEFT_SIDEWAYS_U_BRACKET",S[S.LEFT_DOUBLE_PARENTHESIS=11816]="LEFT_DOUBLE_PARENTHESIS",S[S.DOUBLE_LOW_REVERSED_9_QUOTATION_MARK=11842]="DOUBLE_LOW_REVERSED_9_QUOTATION_MARK",S[S.LEFT_ANGLE_BRACKET=12296]="LEFT_ANGLE_BRACKET",S[S.LEFT_DOUBLE_ANGLE_BRACKET=12298]="LEFT_DOUBLE_ANGLE_BRACKET",S[S.LEFT_CORNER_BRACKET=12300]="LEFT_CORNER_BRACKET",S[S.LEFT_WHITE_CORNER_BRACKET=12302]="LEFT_WHITE_CORNER_BRACKET",S[S.LEFT_BLACK_LENTICULAR_BRACKET=12304]="LEFT_BLACK_LENTICULAR_BRACKET",S[S.LEFT_TORTOISE_SHELL_BRACKET=12308]="LEFT_TORTOISE_SHELL_BRACKET",S[S.LEFT_WHITE_LENTICULAR_BRACKET=12310]="LEFT_WHITE_LENTICULAR_BRACKET",S[S.LEFT_WHITE_TORTOISE_SHELL_BRACKET=12312]="LEFT_WHITE_TORTOISE_SHELL_BRACKET",S[S.LEFT_WHITE_SQUARE_BRACKET=12314]="LEFT_WHITE_SQUARE_BRACKET",S[S.REVERSED_DOUBLE_PRIME_QUOTATION_MARK=12317]="REVERSED_DOUBLE_PRIME_QUOTATION_MARK",S[S.ORNATE_RIGHT_PARENTHESIS=64831]="ORNATE_RIGHT_PARENTHESIS",S[S.PRESENTATION_FORM_FOR_VERTICAL_LEFT_WHITE_LENTICULAR_BRACKET=65047]="PRESENTATION_FORM_FOR_VERTICAL_LEFT_WHITE_LENTICULAR_BRACKET",S[S.PRESENTATION_FORM_FOR_VERTICAL_LEFT_PARENTHESIS=65077]="PRESENTATION_FORM_FOR_VERTICAL_LEFT_PARENTHESIS",S[S.PRESENTATION_FORM_FOR_VERTICAL_LEFT_CURLY_BRACKET=65079]="PRESENTATION_FORM_FOR_VERTICAL_LEFT_CURLY_BRACKET",S[S.PRESENTATION_FORM_FOR_VERTICAL_LEFT_TORTOISE_SHELL_BRACKET=65081]="PRESENTATION_FORM_FOR_VERTICAL_LEFT_TORTOISE_SHELL_BRACKET",S[S.PRESENTATION_FORM_FOR_VERTICAL_LEFT_BLACK_LENTICULAR_BRACKET=65083]="PRESENTATION_FORM_FOR_VERTICAL_LEFT_BLACK_LENTICULAR_BRACKET",S[S.PRESENTATION_FORM_FOR_VERTICAL_LEFT_DOUBLE_ANGLE_BRACKET=65085]="PRESENTATION_FORM_FOR_VERTICAL_LEFT_DOUBLE_ANGLE_BRACKET",S[S.PRESENTATION_FORM_FOR_VERTICAL_LEFT_ANGLE_BRACKET=65087]="PRESENTATION_FORM_FOR_VERTICAL_LEFT_ANGLE_BRACKET",S[S.PRESENTATION_FORM_FOR_VERTICAL_LEFT_CORNER_BRACKET=65089]="PRESENTATION_FORM_FOR_VERTICAL_LEFT_CORNER_BRACKET",S[S.PRESENTATION_FORM_FOR_VERTICAL_LEFT_WHITE_CORNER_BRACKET=65091]="PRESENTATION_FORM_FOR_VERTICAL_LEFT_WHITE_CORNER_BRACKET",S[S.PRESENTATION_FORM_FOR_VERTICAL_LEFT_SQUARE_BRACKET=65095]="PRESENTATION_FORM_FOR_VERTICAL_LEFT_SQUARE_BRACKET",S[S.SMALL_LEFT_PARENTHESIS=65113]="SMALL_LEFT_PARENTHESIS",S[S.SMALL_LEFT_CURLY_BRACKET=65115]="SMALL_LEFT_CURLY_BRACKET",S[S.SMALL_LEFT_TORTOISE_SHELL_BRACKET=65117]="SMALL_LEFT_TORTOISE_SHELL_BRACKET",S[S.FULLWIDTH_LEFT_PARENTHESIS=65288]="FULLWIDTH_LEFT_PARENTHESIS",S[S.FULLWIDTH_LEFT_SQUARE_BRACKET=65339]="FULLWIDTH_LEFT_SQUARE_BRACKET",S[S.FULLWIDTH_LEFT_CURLY_BRACKET=65371]="FULLWIDTH_LEFT_CURLY_BRACKET",S[S.FULLWIDTH_LEFT_WHITE_PARENTHESIS=65375]="FULLWIDTH_LEFT_WHITE_PARENTHESIS",S[S.HALFWIDTH_LEFT_CORNER_BRACKET=65378]="HALFWIDTH_LEFT_CORNER_BRACKET"})(UnicodePsCodePoint||(UnicodePsCodePoint={}));var UnicodeZsCodePoint;(function(S){S[S.SPACE=32]="SPACE",S[S.NO_BREAK_SPACE=160]="NO_BREAK_SPACE",S[S.OGHAM_SPACE_MARK=5760]="OGHAM_SPACE_MARK",S[S.EN_QUAD=8192]="EN_QUAD",S[S.EM_QUAD=8193]="EM_QUAD",S[S.EN_SPACE=8194]="EN_SPACE",S[S.EM_SPACE=8195]="EM_SPACE",S[S.THREE_PER_EM_SPACE=8196]="THREE_PER_EM_SPACE",S[S.FOUR_PER_EM_SPACE=8197]="FOUR_PER_EM_SPACE",S[S.SIX_PER_EM_SPACE=8198]="SIX_PER_EM_SPACE",S[S.FIGURE_SPACE=8199]="FIGURE_SPACE",S[S.PUNCTUATION_SPACE=8200]="PUNCTUATION_SPACE",S[S.THIN_SPACE=8201]="THIN_SPACE",S[S.HAIR_SPACE=8202]="HAIR_SPACE",S[S.NARROW_NO_BREAK_SPACE=8239]="NARROW_NO_BREAK_SPACE",S[S.MEDIUM_MATHEMATICAL_SPACE=8287]="MEDIUM_MATHEMATICAL_SPACE",S[S.IDEOGRAPHIC_SPACE=12288]="IDEOGRAPHIC_SPACE"})(UnicodeZsCodePoint||(UnicodeZsCodePoint={}));var VirtualCodePoint;(function(S){S[S.LINE_END=-1]="LINE_END",S[S.SPACE=-2]="SPACE"})(VirtualCodePoint||(VirtualCodePoint={}));function createCodePointSearcher(S){const C=[...new Set(S)].sort((I,N)=>I-N),R=C.length;if(R<8)return[I=>{for(let N=0;N<C.length;++N)if(I===C[N])return!0;return!1},[...C]];const O=[];for(let I=0,N;I<R;I+=N){const L=C[I];for(N=1;I+N<R&&!(C[I+N]>L+N);++N);O.push(L,L+N)}if(O.length*1.5<R){const I=O.length;return I<8?[N=>{for(let L=0;L<I;L+=2){const B=O[L],j=O[L+1];if(B<=N&&N<j)return!0}return!1},C]:[N=>{let L=0,B=I;for(;L<B;){const j=L+B>>>1;N<O[j]?B=j:L=j+1}return!!(B&1)},C]}return[I=>{let N=0,L=R;for(;N<L;){const B=N+L>>>1;I<C[B]?L=B:N=B+1}return L<=0?!1:C[L-1]===I},[...C]]}function collectCodePointsFromEnum(S){return Object.values(S).filter(C=>typeof C=="number")}createCodePointSearcher([AsciiCodePoint.HT,AsciiCodePoint.LF,AsciiCodePoint.VT,AsciiCodePoint.FF,AsciiCodePoint.CR,AsciiCodePoint.SPACE]);const[isAsciiPunctuationCharacter,asciiPunctuationCharacters]=createCodePointSearcher([AsciiCodePoint.EXCLAMATION_MARK,AsciiCodePoint.DOUBLE_QUOTE,AsciiCodePoint.NUMBER_SIGN,AsciiCodePoint.DOLLAR_SIGN,AsciiCodePoint.PERCENT_SIGN,AsciiCodePoint.AMPERSAND,AsciiCodePoint.SINGLE_QUOTE,AsciiCodePoint.OPEN_PARENTHESIS,AsciiCodePoint.CLOSE_PARENTHESIS,AsciiCodePoint.ASTERISK,AsciiCodePoint.PLUS_SIGN,AsciiCodePoint.COMMA,AsciiCodePoint.MINUS_SIGN,AsciiCodePoint.DOT,AsciiCodePoint.SLASH,AsciiCodePoint.COLON,AsciiCodePoint.SEMICOLON,AsciiCodePoint.OPEN_ANGLE,AsciiCodePoint.EQUALS_SIGN,AsciiCodePoint.CLOSE_ANGLE,AsciiCodePoint.QUESTION_MARK,AsciiCodePoint.AT_SIGN,AsciiCodePoint.OPEN_BRACKET,AsciiCodePoint.BACKSLASH,AsciiCodePoint.CLOSE_BRACKET,AsciiCodePoint.CARET,AsciiCodePoint.UNDERSCORE,AsciiCodePoint.BACKTICK,AsciiCodePoint.OPEN_BRACE,AsciiCodePoint.VERTICAL_SLASH,AsciiCodePoint.CLOSE_BRACE,AsciiCodePoint.TILDE]),isAsciiDigitCharacter=S=>S>=AsciiCodePoint.DIGIT0&&S<=AsciiCodePoint.DIGIT9,isAsciiLowerLetter=S=>S>=AsciiCodePoint.LOWERCASE_A&&S<=AsciiCodePoint.LOWERCASE_Z,isAsciiUpperLetter=S=>S>=AsciiCodePoint.UPPERCASE_A&&S<=AsciiCodePoint.UPPERCASE_Z,isAsciiLetter=S=>isAsciiLowerLetter(S)||isAsciiUpperLetter(S),isAlphanumeric=S=>isAsciiLowerLetter(S)||isAsciiUpperLetter(S)||isAsciiDigitCharacter(S),isAsciiCharacter=S=>S>=AsciiCodePoint.NUL&&S<=AsciiCodePoint.DELETE,[isAsciiControlCharacter,asciiControlCharacters]=createCodePointSearcher([AsciiCodePoint.NUL,AsciiCodePoint.SOH,AsciiCodePoint.STX,AsciiCodePoint.ETX,AsciiCodePoint.EOT,AsciiCodePoint.ENQ,AsciiCodePoint.ACK,AsciiCodePoint.BEL,AsciiCodePoint.BS,AsciiCodePoint.HT,AsciiCodePoint.LF,AsciiCodePoint.VT,AsciiCodePoint.FF,AsciiCodePoint.CR,AsciiCodePoint.SO,AsciiCodePoint.SI,AsciiCodePoint.DLE,AsciiCodePoint.DC1,AsciiCodePoint.DC2,AsciiCodePoint.DC3,AsciiCodePoint.DC4,AsciiCodePoint.NAK,AsciiCodePoint.SYN,AsciiCodePoint.ETB,AsciiCodePoint.CAN,AsciiCodePoint.EM,AsciiCodePoint.SUB,AsciiCodePoint.ESC,AsciiCodePoint.FS,AsciiCodePoint.GS,AsciiCodePoint.RS,AsciiCodePoint.US,AsciiCodePoint.DELETE]),[isWhitespaceCharacter,whitespaceCharacters]=createCodePointSearcher([AsciiCodePoint.VT,AsciiCodePoint.FF,AsciiCodePoint.SPACE,VirtualCodePoint.SPACE,VirtualCodePoint.LINE_END]);AsciiCodePoint.SPACE,VirtualCodePoint.SPACE;const isSpaceCharacter=S=>S===AsciiCodePoint.SPACE||S===VirtualCodePoint.SPACE,isLineEnding=S=>S===VirtualCodePoint.LINE_END,[isPunctuationCharacter,punctuationCharacters]=createCodePointSearcher([...asciiPunctuationCharacters,...collectCodePointsFromEnum(UnicodePcCodePoint),...collectCodePointsFromEnum(UnicodePdCodePoint),...collectCodePointsFromEnum(UnicodePeCodePoint),...collectCodePointsFromEnum(UnicodePfCodePoint),...collectCodePointsFromEnum(UnicodePiCodePoint),...collectCodePointsFromEnum(UnicodePoCodePoint),...collectCodePointsFromEnum(UnicodePsCodePoint)]),isSpaceLike=S=>isSpaceCharacter(S)||isLineEnding(S),[isUnicodeWhitespaceCharacter,unicodeWhitespaceCharacters]=createCodePointSearcher([AsciiCodePoint.HT,AsciiCodePoint.LF,AsciiCodePoint.FF,AsciiCodePoint.CR,VirtualCodePoint.SPACE,VirtualCodePoint.LINE_END,...collectCodePointsFromEnum(UnicodeZsCodePoint)]);var UnicodeCodePoint;(function(S){S[S.REPLACEMENT_CHARACTER=65533]="REPLACEMENT_CHARACTER"})(UnicodeCodePoint||(UnicodeCodePoint={}));function createEntityReferenceTrie(){const S=(I,N)=>{if(I.length<=4){for(let j=0;j<I.length;++j)if(I[j].key>=N)return j;return I.length}let L=0,B=I.length;for(;L<B;){const j=L+B>>>1;I[j].key<N?L=j+1:B=j}return L},C={key:0,children:[]};return{insert:(I,N)=>{let L=C;for(const B of I){const j=S(L.children,B);if(j>=L.children.length){const V={key:B,children:[]};L.children.push(V),L=V;continue}let F=L.children[j];if(F.key===B){L=F;continue}F={key:B,children:[]},L.children.splice(j,0,F),L=F}L.value=N},search:(I,N,L)=>{let B=C;for(let j=N;j<L;++j){const F=I[j].codePoint,V=S(B.children,F);if(V>=B.children.length)return null;const K=B.children[V];if(K.key!==F)return null;if(K.value!=null)return{nextIndex:j+1,value:K.value};B=K}return null}}}const entityReferenceTrie=createEntityReferenceTrie();entityReferences.forEach(S=>entityReferenceTrie.insert(S.key,S.value));function eatEntityReference(S,C,R){if(C+1>=R)return null;const O=entityReferenceTrie.search(S,C,R);if(O!=null)return O;if(S[C].codePoint!==AsciiCodePoint.NUMBER_SIGN)return null;let I=0,N=C+1;if(S[N].codePoint===AsciiCodePoint.LOWERCASE_X||S[N].codePoint===AsciiCodePoint.UPPERCASE_X){N+=1;for(let B=1;B<=6&&N<R;++B,++N){const j=S[N].codePoint;if(isAsciiDigitCharacter(j)){I=(I<<4)+(j-AsciiCodePoint.DIGIT0);continue}if(j>=AsciiCodePoint.UPPERCASE_A&&j<=AsciiCodePoint.UPPERCASE_F){I=(I<<4)+(j-AsciiCodePoint.UPPERCASE_A+10);continue}if(j>=AsciiCodePoint.LOWERCASE_A&&j<=AsciiCodePoint.LOWERCASE_F){I=(I<<4)+(j-AsciiCodePoint.LOWERCASE_A+10);continue}break}}else for(let B=1;B<=7&&N<R;++B,++N){const j=S[N].codePoint;if(!isAsciiDigitCharacter(j))break;I=I*10+(j-AsciiCodePoint.DIGIT0)}if(N>=R||S[N].codePoint!==AsciiCodePoint.SEMICOLON)return null;let L;try{I===0&&(I=UnicodeCodePoint.REPLACEMENT_CHARACTER),L=String.fromCodePoint(I)}catch{L=String.fromCodePoint(UnicodeCodePoint.REPLACEMENT_CHARACTER)}return{nextIndex:N+1,value:L}}function foldCase(S){return Array.from(S).map(C=>foldingCaseCodeMap[C]??C).join("")}(()=>{try{const S=new RegExp("\\p{Script=Han}|[\\u{3002}\\u{ff1f}\\u{ff01}\\u{ff0c}\\u{3001}\\u{ff1b}\\u{ff1a}\\u{201c}\\u{201d}\\u{2018}\\u{2019}\\u{ff08}\\u{ff09}\\u{300a}\\u{300b}\\u{3008}\\u{3009}\\u{3010}\\u{3011}\\u{300e}\\u{300f}\\u{300c}\\u{300d}\\u{fe43}\\u{fe44}\\u{3014}\\u{3015}\\u{2026}\\u{2014}\\u{ff5e}\\u{fe4f}\\u{ffe5}]","u").source,C=new RegExp(`(${S})\\n+(${S})`,"gu");return R=>R.replace(C,"$1$2")}catch{const S=/[\u{4E00}-\u{9FCC}\u{3400}-\u{4DB5}\u{FA0E}\u{FA0F}\u{FA11}\u{FA13}\u{FA14}\u{FA1F}\u{FA21}\u{FA23}\u{FA24}\u{FA27}-\u{FA29}]|[\u{d840}-\u{d868}][\u{dc00}-\u{dfff}]|\u{d869}[\u{dc00}-\u{ded6}\u{df00}-\u{dfff}]|[\u{d86a}-\u{d86c}][\u{dc00}-\u{dfff}]|\u{d86d}[\u{dc00}-\u{df34}\u{df40}-\u{dfff}]|\u{d86e}[\u{dc00}-\u{dc1d}]/u.source,C=new RegExp(`(${S})\\n+(${S})`,"gu");return R=>R.replace(C,"$1$2")}})(),(()=>{try{const S=new RegExp("\\p{Script=Han}|[\\u{3002}\\u{ff1f}\\u{ff01}\\u{ff0c}\\u{3001}\\u{ff1b}\\u{ff1a}\\u{201c}\\u{201d}\\u{2018}\\u{2019}\\u{ff08}\\u{ff09}\\u{300a}\\u{300b}\\u{3008}\\u{3009}\\u{3010}\\u{3011}\\u{300e}\\u{300f}\\u{300c}\\u{300d}\\u{fe43}\\u{fe44}\\u{3014}\\u{3015}\\u{2026}\\u{2014}\\u{ff5e}\\u{fe4f}\\u{ffe5}]","u").source,C=new RegExp(`(${S})[\\s\\n]+(${S})`,"gu");return R=>R.replace(C,"$1$2")}catch{const S=/[\u{4E00}-\u{9FCC}\u{3400}-\u{4DB5}\u{FA0E}\u{FA0F}\u{FA11}\u{FA13}\u{FA14}\u{FA1F}\u{FA21}\u{FA23}\u{FA24}\u{FA27}-\u{FA29}]|[\u{d840}-\u{d868}][\u{dc00}-\u{dfff}]|\u{d869}[\u{dc00}-\u{ded6}\u{df00}-\u{dfff}]|[\u{d86a}-\u{d86c}][\u{dc00}-\u{dfff}]|\u{d86d}[\u{dc00}-\u{df34}\u{df40}-\u{dfff}]|\u{d86e}[\u{dc00}-\u{dc1d}]/u.source,C=new RegExp(`(${S})[\\s\\n]+(${S})`,"gu");return R=>R.replace(C,"$1$2")}})();function*createNodePointGenerator(S){let C=0,R=1,O=1;const I=typeof S=="string"?[S]:S;for(const N of I){const L=[];for(const F of N){const V=F.codePointAt(0);L.push(V)}const B=[],j=L.length;for(let F=0;F<j;++F){const V=L[F];switch(V){case AsciiCodePoint.HT:for(let K=0;K<4;++K)B.push({line:O,column:R,offset:C,codePoint:VirtualCodePoint.SPACE});C+=1,R+=1;break;case AsciiCodePoint.LF:B.push({line:O,column:R,offset:C,codePoint:VirtualCodePoint.LINE_END}),C+=1,R=1,O+=1;break;case AsciiCodePoint.CR:B.push({line:O,column:R,offset:C,codePoint:VirtualCodePoint.LINE_END}),C+=1,R=1,O+=1,F+1<j&&L[F+1]===AsciiCodePoint.LF&&(C+=1,F+=1);break;case AsciiCodePoint.NUL:B.push({line:O,column:R,offset:C,codePoint:UnicodeCodePoint.REPLACEMENT_CHARACTER}),C+=1,R+=1;break;default:B.push({line:O,column:R,offset:C,codePoint:V}),C+=1,R+=1;break}}yield B}}function calcStringFromNodePoints(S,C=0,R=S.length,O=!1){O&&([C,R]=calcTrimBoundaryOfCodePoints(S,C,R));let I="";for(let N=C,L;N<R;++N){const B=S[N].codePoint;switch(B){case VirtualCodePoint.SPACE:{for(L=N+1;L<R&&S[L].codePoint===VirtualCodePoint.SPACE;++L);const j=L-N>>2,F=L-N&3;for(let V=0;V<F;++V)I+=" ";for(let V=0;V<j;++V)I+="	";N=L-1;break}case VirtualCodePoint.LINE_END:{I+=`
-`;break}default:I+=String.fromCodePoint(B)}}return I}function calcEscapedStringFromNodePoints(S,C=0,R=S.length,O=!1){O&&([C,R]=calcTrimBoundaryOfCodePoints(S,C,R));let I="";for(let N=C,L;N<R;++N){const B=S[N].codePoint;if(B===AsciiCodePoint.BACKSLASH&&N+1<R){const j=S[N+1].codePoint;isAsciiPunctuationCharacter(j)?(N+=1,I+=String.fromCodePoint(j)):I+="\\";continue}switch(B){case VirtualCodePoint.SPACE:{for(L=N+1;L<R&&S[L].codePoint===VirtualCodePoint.SPACE;++L);const j=L-N>>2,F=L-N&3;for(let V=0;V<F;++V)I+=" ";for(let V=0;V<j;++V)I+="	";N=L-1;break}case VirtualCodePoint.LINE_END:{I+=`
-`;break}case AsciiCodePoint.AMPERSAND:{const j=eatEntityReference(S,N+1,R);j==null?I+="&":(I+=j.value,N=j.nextIndex-1);break}default:I+=String.fromCodePoint(B)}}return I}function calcTrimBoundaryOfCodePoints(S,C=0,R=S.length){let O=C,I=R-1;for(;O<=I;++O){const N=S[O];if(!isWhitespaceCharacter(N.codePoint))break}for(;O<=I;--I){const N=S[I];if(!isWhitespaceCharacter(N.codePoint))break}return[O,I+1]}function createNodeMatcher(S){if(S==null)return()=>!0;if(S instanceof Function)return S;if(S.length===0)return()=>!1;if(S.length===1){const C=S[0];return R=>R.type===C}if(S.length===2){const[C,R]=S;return O=>O.type===C||O.type===R}return C=>{for(const R of S)if(C.type===R)return!0;return!1}}function traverseAst(S,C,R){const O=createNodeMatcher(C),I=N=>{const{children:L}=N;for(let B=0;B<L.length;++B){const j=L[B];O(j)&&R(j,N,B),j.children!=null&&I(j)}};I(S)}const calcDefinitionMap=(S,C=[DefinitionType],R=[])=>{const O={};traverseAst(S,C,L=>{const B=L;O[B.identifier]===void 0&&(O[B.identifier]=B)});const I=[];for(const L of R)O[L.identifier]===void 0&&(O[L.identifier]=L,I.push(L));return{root:I.length>0?{...S,children:S.children.concat(I)}:S,definitionMap:O}},astClasses=mergeStyleSets({root:{"--colorBgBlockquote":"none","--colorBgTableHead":"hsl(0deg, 0%, 94%)","--colorBgTableEvenRow":"hsl(0deg, 0%, 96%)","--colorBgTableOddRow":"hsl(0deg, 0%, 100%)","--colorBorderBlockquote":"hsl(210deg, 13%, 85%)","--colorBorderHeading":"hsl(0deg, 0%, 80%)","--colorBorderImage":"hsl(277deg, 19%, 47%)","--colorBorderTable":"hsl(220deg, 7%, 90%)","--colorBgCode":"#f5f7f9","--colorDelete":"hsl(210deg, 8%, 65%)","--colorHeading":"hsl(0deg, 0%, 25%)","--colorImageTitle":"hsl(0deg, 0%, 50%)","--colorInlineCode":"hsl(348deg, 60%, 47%)","--colorLink":"hsl(206deg, 53%, 47%)","--colorLinkActive":"hsl(206deg, 53%, 52%)","--colorLinkHover":"hsl(206deg, 53%, 52%)","--colorLinkVisited":"hsl(206deg, 53%, 47%)","--fontFamilyCode":"Consolas, 'Source Code Pro', 'Roboto Mono', monospace, sans-serif","--fontFamilyHeading":"Consolas, 'Source Code Pro', 'Roboto Mono', monospace, sans-serif"},rootDarken:{"&&":{"--colorBgBlockquote":"none","--colorBgTableHead":"hsl(200deg, 10%, 16%)","--colorBgTableEvenRow":"hsl(200deg, 10%, 16%)","--colorBgTableOddRow":"hsl(0deg, 0%, 9%)","--colorBorderBlockquote":"hsl(207deg, 7%, 45%)","--colorBorderHeading":"hsla(0deg, 0%, 30%, 0.8)","--colorBorderImage":"hsl(290deg, 15%, 49%)","--colorBorderTable":"hsl(0deg, 0%, 50%)","--colorBgCode":"hsl(0deg, 0%, 12%)","--colorDelete":"hsl(220deg, 5%, 68%)","--colorHeading":"hsl(0deg, 0%, 65%)","--colorImageTitle":"hsl(0deg, 0%, 50%)","--colorInlineCode":"hsl(348deg, 70%, 52%)","--colorLink":"hsl(207deg, 53%, 50%)","--colorLinkActive":"hsl(207deg, 53%, 50%)","--colorLinkHover":"hsl(207deg, 53%, 50%)","--colorLinkVisited":"hsl(207deg, 53%, 50%)","--fontFamilyCode":"Consolas, 'Source Code Pro', 'Roboto Mono', monospace, sans-serif","--fontFamilyHeading":"Consolas, 'Source Code Pro', 'Roboto Mono', monospace, sans-serif"}},blockquote:{},break:{},code:{},delete:{},emphasis:{},heading:{},image:{},imageReference:{},inlineCode:{},link:{},linkReference:{},list:{},listItem:{},paragraph:{},strong:{},table:{},text:{},thematicBreak:{}}),NodeRendererContextType=React.createContext(null);NodeRendererContextType.displayName="NodeRendererContextType";const useNodeRendererContext=()=>React.useContext(NodeRendererContextType);function disposeAll(S){const C=[];for(const R of S)try{R.dispose()}catch(O){C.push(O)}if(C.length===1)throw C[0];if(C.length>1)throw new AggregateError(C,"Encountered errors while disposing")}class BatchDisposable{constructor(){Cn(this,"_disposed");Cn(this,"_disposables");this._disposed=!1,this._disposables=[]}get disposed(){return this._disposed}dispose(){if(!this._disposed){this._disposed=!0;try{disposeAll(this._disposables)}finally{this._disposables.length=0}}}registerDisposable(C){C.disposed||(this._disposed?C.dispose():this._disposables.push(C))}}class Disposable{constructor(C){Cn(this,"_onDispose");Cn(this,"_disposed");this._onDispose=C,this._disposed=!1}static fromCallback(C){return new Disposable(C)}static fromUnsubscribable(C){return new Disposable(()=>C.unsubscribe())}get disposed(){return this._disposed}dispose(){this._disposed||(this._disposed=!0,this._onDispose())}}function isDisposable(S){return S===null||typeof S!="object"?!1:typeof Reflect.get(S,"dispose")=="function"&&typeof Reflect.get(S,"disposed")=="boolean"}var ScheduleTransactionStatus;(function(S){S[S.NOT_STARTED=0]="NOT_STARTED",S[S.STARTED=1]="STARTED",S[S.COMPLETED=2]="COMPLETED"})(ScheduleTransactionStatus||(ScheduleTransactionStatus={}));function noop$2(...S){}const noopUnsubscribable={unsubscribe:noop$2};class Schedulable{constructor(C){Cn(this,"_scheduled");Cn(this,"_run");this._scheduled=!1,this._run=C}get scheduled(){return this._scheduled}schedule(){this._scheduled||(this._scheduled=!0,this._run())}}class Observable extends BatchDisposable{constructor(R,O={}){super();Cn(this,"equals");Cn(this,"_value");Cn(this,"_subscribers");this._value=R,this._subscribers=[],this.equals=O.equals??((I,N)=>Object.is(I,N))}dispose(){if(!this.disposed){super.dispose();const R=this._subscribers;this._subscribers=[];for(const O of R)O.complete()}}getSnapshot(){return this._value}subscribe(R){return this.disposed?(R.complete(),noopUnsubscribable):(this._subscribers.includes(R)||(this._subscribers=[...this._subscribers,R]),{unsubscribe:()=>{this._subscribers.includes(R)&&(this._subscribers=this._subscribers.filter(O=>O!==R))}})}next(R,O){if(this.disposed){console.warn("[Observable] Don't update a disposed observable. value:",R);return}const I=this._value;this.equals(R,I)||(this._value=R,this.notify(R,I,O))}notify(R,O,I){if(I){I.step(new Schedulable(()=>this.notifyImmediate(R,O)));return}this.notifyImmediate(R,O)}notifyImmediate(R,O){const I=this._subscribers;for(const N of I)N.next(R,O)}}class Ticker extends Observable{constructor(R,O={}){const I=new Set,N=Number(O.delay||0)||0,L=Math.max(0,Number(O.threshold||0)||0);super(R??0,{equals:(B,j)=>B===j});Cn(this,"_observes");Cn(this,"_delay");Cn(this,"_threshold");Cn(this,"_caller");this._observes=I,this._delay=N>=0?N:-1,this._threshold=L,this._caller=void 0}dispose(){this.disposed||(super.dispose(),this.flush(),this._observes.clear())}tick(R){this.next(this._value+1,R)}observe(R){if(this.disposed){console.warn("[Ticker.observe] the ticker has been disposed.");return}if(!this._observes.has(R)){const O=R.subscribe({next:()=>{I.disposed||this.tick()},complete:()=>I.dispose()}),I=Disposable.fromUnsubscribable(O);this._observes.add(R),this.registerDisposable(I)}}notify(R,O,I){if(I){this.flush(),I.step(new Schedulable(()=>this.notifyImmediate(R,O)));return}if(this._delay<0){this.notifyImmediate(R,O);return}const{_delay:N,_threshold:L,_caller:B}=this;let j=Date.now();const F=()=>this.notifyImmediate(R,O),V=setTimeout(()=>{this._caller=void 0,F()},N);B!==void 0&&(this._caller=void 0,clearTimeout(B.timer),B.createdAt+L<=j?B.call():j=B.createdAt),this._caller={timer:V,createdAt:j,call:F}}flush(){const R=this._caller;R!==void 0&&(this._caller=void 0,clearTimeout(R.timer),R.call())}}class Computed{constructor(C){Cn(this,"_observable");Cn(this,"getSnapshot",()=>this._observable.getSnapshot());Cn(this,"getServerSnapshot",()=>this._observable.getSnapshot());Cn(this,"subscribeStateChange",C=>{const R={next:()=>C(),complete:()=>{}},O=this._observable.subscribe(R),I=Disposable.fromUnsubscribable(O);return this._observable.registerDisposable(I),()=>I.dispose()});this._observable=C}static fromObservables(C,R,O){const I=new Ticker;for(const B of C)I.observe(B);const N=()=>{const B=C.map(j=>j.getSnapshot());return R(B)},L=new Observable(N(),O);return L.registerDisposable(I),I.subscribe({next:()=>{L.disposed||L.next(N())},complete:()=>L.dispose()}),new Computed(L)}get disposed(){return this._observable.disposed}dispose(){this._observable.disposed||this._observable.dispose()}registerDisposable(C){this._observable.registerDisposable(C)}subscribe(C){return this._observable.subscribe(C)}}class State extends Observable{constructor(){super(...arguments);Cn(this,"getSnapshot",()=>super.getSnapshot());Cn(this,"getServerSnapshot",()=>super.getSnapshot());Cn(this,"setState",R=>{const O=typeof R=="function"?R(this.getSnapshot()):R;super.next(O)});Cn(this,"subscribeStateChange",R=>{const O={next:()=>R(),complete:()=>{}},I=super.subscribe(O),N=Disposable.fromUnsubscribable(I);return this.registerDisposable(N),()=>N.dispose()})}}function isObservable(S){return S===null||typeof S!="object"?!1:typeof Reflect.get(S,"dispose")=="function"&&typeof Reflect.get(S,"disposed")=="boolean"&&typeof Reflect.get(S,"subscribe")=="function"&&typeof Reflect.get(S,"equals")=="function"&&typeof Reflect.get(S,"getSnapshot")=="function"&&typeof Reflect.get(S,"next")=="function"}class ViewModel extends BatchDisposable{constructor(){super();Cn(this,"_tickerMap");this._tickerMap=new Map}dispose(){this.disposed||(super.dispose(),Reflect.ownKeys(this).forEach(R=>{if(typeof R=="string"&&R.endsWith("$")){const O=this[R];isDisposable(O)&&O.dispose()}}))}ticker(R){const O=Array.from(new Set(R)).sort(),I=O.join("|");let N=this._tickerMap.get(I);if(N===void 0){const L=new Ticker;N={keys:O,ticker:L},this.registerDisposable(L),this._tickerMap.set(I,N);for(const B of O){const j=this[B];if(!isObservable(j)){console.warn("[ViewModel.ticker] not an observable, key:",B,"val:",j);continue}L.observe(j)}}return N}}class ReactMarkdownViewModel extends ViewModel{constructor(C){super(),this.preferCodeWrap$=new State(!1);const{definitionMap:R,rendererMap:O,showCodeLineno:I,themeScheme:N}=C;this.definitionMap$=new State(R),this.rendererMap$=new State(O),this.showCodeLineno$=new State(I),this.themeScheme$=new State(N)}}function isEqual$2(S,C){if(S===null||C===null||S===void 0||C===void 0)return S===C;if(typeof S!=typeof C)return!1;if(Object.is(S,C))return!0;if(typeof S=="object"){if(S.constructor!==C.constructor)return!1;if(Array.isArray(S)){if(S.length!==C.length)return!1;for(let O=0;O<S.length;++O)if(!isEqual$2(S[O],C[O]))return!1;return!0}if(S.constructor===RegExp)return S.source===C.source&&S.flags===C.flags;if(S.valueOf!==Object.prototype.valueOf)return S.valueOf()===C.valueOf();if(S.toString!==Object.prototype.toString)return S.toString()===C.toString();const R=Object.keys(S);if(R.length!==Object.keys(C).length)return!1;for(let O=0;O<R.length;++O)if(!Object.prototype.hasOwnProperty.call(C,R[O]))return!1;for(let O=0;O<R.length;++O){const I=R[O];if(!(I==="_owner"&&S.$$typeof)&&!isEqual$2(S[I],C[I]))return!1}return!0}return!1}var define_process_env_default$n={};let didWarnOld18Alpha=!1,didWarnUncachedGetSnapshot=!1;function useSyncExternalStore$2(S,C,R){define_process_env_default$n.NODE_ENV==="development"&&(didWarnOld18Alpha||reactExports.startTransition!==void 0&&(didWarnOld18Alpha=!0,console.error("You are using an outdated, pre-release alpha of React 18 that does not support useSyncExternalStore. The use-sync-external-store shim will not work correctly. Upgrade to a newer pre-release.")));const O=C();if(define_process_env_default$n.NODE_ENV==="development"&&!didWarnUncachedGetSnapshot){const L=C();Object.is(O,L)||(console.error("The result of getSnapshot should be cached to avoid an infinite loop"),didWarnUncachedGetSnapshot=!0)}const[{inst:I},N]=reactExports.useState({inst:{value:O,getSnapshot:C}});return reactExports.useLayoutEffect(()=>{I.value=O,I.getSnapshot=C,checkIfSnapshotChanged(I)&&N({inst:I})},[S,O,C]),reactExports.useEffect(()=>(checkIfSnapshotChanged(I)&&N({inst:I}),S(()=>{checkIfSnapshotChanged(I)&&N({inst:I})})),[S]),reactExports.useDebugValue(O),O}function checkIfSnapshotChanged(S){const C=S.getSnapshot,R=S.value;try{const O=C();return!Object.is(R,O)}catch{return!0}}function useSyncExternalStore$1(S,C,R){return C()}const canUseDOM=typeof window<"u"&&typeof window.document<"u"&&typeof window.document.createElement<"u",shim=canUseDOM?useSyncExternalStore$2:useSyncExternalStore$1,builtin=reactExports.useSyncExternalStore,useSyncExternalStore=builtin||shim;function useStateValue(S){const{getSnapshot:C,getServerSnapshot:R,subscribeStateChange:O}=S;return useSyncExternalStore(O,C,R)}const NodesRenderer=S=>{const{nodes:C}=S,{viewmodel:R}=useNodeRendererContext(),O=useStateValue(R.rendererMap$);return!Array.isArray(C)||C.length<=0?jsxRuntimeExports.jsx(React.Fragment,{}):jsxRuntimeExports.jsx(NodesRendererInner,{nodes:C,rendererMap:O})};class NodesRendererInner extends React.Component{shouldComponentUpdate(C){const R=this.props;return!lodashExports.isEqual(R.nodes,C.nodes)||R.rendererMap!==C.rendererMap}render(){const{nodes:C,rendererMap:R}=this.props;return jsxRuntimeExports.jsx(React.Fragment,{children:C.map((O,I)=>{const N=`${O.type}-${I}`,L=R[O.type]??R._fallback;return jsxRuntimeExports.jsx(L,{...O},N)})})}}var TokenizerType;(function(S){S.BLOCK="block",S.INLINE="inline"})(TokenizerType||(TokenizerType={}));var TokenizerPriority;(function(S){S[S.ATOMIC=10]="ATOMIC",S[S.FENCED_BLOCK=10]="FENCED_BLOCK",S[S.CONTAINING_BLOCK=10]="CONTAINING_BLOCK",S[S.INTERRUPTABLE_BLOCK=2]="INTERRUPTABLE_BLOCK",S[S.IMAGES=4]="IMAGES",S[S.LINKS=3]="LINKS",S[S.CONTAINING_INLINE=2]="CONTAINING_INLINE",S[S.SOFT_INLINE=1]="SOFT_INLINE",S[S.FALLBACK=-1]="FALLBACK"})(TokenizerPriority||(TokenizerPriority={}));class BaseInlineTokenizer{constructor(C){Cn(this,"type",TokenizerType.INLINE);Cn(this,"name");Cn(this,"priority");this.name=C.name,this.priority=C.priority}toString(){return this.name}}function*genFindDelimiter(S){let C=-1,R=null;for(;;){const[O,I]=yield R;C===I&&(R==null||R.startIndex>=O)||(C=I,R=S(O,I))}}class BaseBlockTokenizer{constructor(C){Cn(this,"type",TokenizerType.BLOCK);Cn(this,"name");Cn(this,"priority");this.name=C.name,this.priority=C.priority}extractPhrasingContentLines(C){return null}buildBlockToken(C,R){return null}toString(){return this.name}}function calcStartPoint(S,C){const{line:R,column:O,offset:I}=S[C];return{line:R,column:O,offset:I}}function calcEndPoint(S,C){const{line:R,column:O,offset:I}=S[C];return{line:R,column:O+1,offset:I+1}}function calcPositionFromPhrasingContentLines(S){const C=S[0],R=S[S.length-1];return{start:calcStartPoint(C.nodePoints,C.startIndex),end:calcEndPoint(R.nodePoints,R.endIndex-1)}}function mergeContentLinesFaithfully(S,C=0,R=S.length){if(C>=R||C<0||R>S.length)return[];const O=[];for(let I=C;I<R;++I){const{nodePoints:N,startIndex:L,endIndex:B}=S[I];for(let j=L;j<B;++j)O.push(N[j])}return O}function mergeAndStripContentLines(S,C=0,R=S.length){const O=[];if(C>=R||C<0||R>S.length)return[];for(let j=C;j+1<R;++j){const{nodePoints:F,endIndex:V,firstNonWhitespaceIndex:K}=S[j];for(let W=K;W<V;++W)O.push(F[W])}const{nodePoints:I,endIndex:N,firstNonWhitespaceIndex:L}=S[R-1];let B=N-1;for(;B>=0;--B){const j=I[B];if(!isWhitespaceCharacter(j.codePoint))break}for(let j=L;j<=B;++j)O.push(I[j]);return O}function encodeLinkDestination(S){let C=S;for(;;)try{const R=decodeURIComponent(C);if(R===C)break;C=R}catch{break}return encodeURI(C)}function resolveLabelToIdentifier(S){const C=S.trim().replace(/\s+/gu," ").toLowerCase();return foldCase(C)}function resolveLinkLabelAndIdentifier(S,C,R){const O=calcStringFromNodePoints(S,C,R,!0);if(O.length<=0)return null;const I=resolveLabelToIdentifier(O);return{label:O,identifier:I}}function eatLinkLabel(S,C,R){let O=C+1;const I=Math.min(O+1e3,R);for(;O<I;++O)switch(S[O].codePoint){case AsciiCodePoint.BACKSLASH:O+=1;break;case AsciiCodePoint.OPEN_BRACKET:return{nextIndex:-1,labelAndIdentifier:null};case AsciiCodePoint.CLOSE_BRACKET:{const L=resolveLinkLabelAndIdentifier(S,C+1,O);return{nextIndex:O+1,labelAndIdentifier:L}}}return{nextIndex:-1,labelAndIdentifier:null}}function isLinkToken(S){return S.nodeType===LinkType||S.nodeType===LinkReferenceType}function eatOptionalCharacters(S,C,R,O){let I=C;for(;I<R&&S[I].codePoint===O;)I+=1;return I}function eatOptionalWhitespaces(S,C,R){let O=C;for(;O<R&&isWhitespaceCharacter(S[O].codePoint);)O+=1;return O}function eatOptionalBlankLines(S,C,R){let O=C;for(let I=C;I<R;++I){const N=S[I].codePoint;if(!isSpaceCharacter(N)){if(isLineEnding(N)){O=I+1;continue}break}}return O}function trimBlankLines(S){if(S.length<=0)return[];let C=0;for(;C<S.length;++C){const O=S[C];if(O.firstNonWhitespaceIndex<O.endIndex)break}let R=S.length-1;for(;R>C;--R){const O=S[R];if(O.firstNonWhitespaceIndex<O.endIndex)break}return C>R?[]:S.slice(C,R+1)}var define_process_env_default$m={};const isProduction$1=define_process_env_default$m.NODE_ENV==="production",prefix$2="Invariant failed";function invariant$1(S,C){if(!S)throw isProduction$1?new Error(prefix$2):C==null?new Error(prefix$2+": "):new Error(prefix$2+": "+(C instanceof Function?C():C))}const createBlockContentProcessor=(S,C)=>{const R={_tokenizer:"root",nodeType:"root",position:{start:{line:1,column:1,offset:0},end:{line:1,column:1,offset:0}},children:[]},O=[];O.push({hook:{isContainingBlock:!0},token:R});let I=0;const N=X=>{for(let J=I;J>=0;--J){const oe=O[J];oe.token.position.end={...X}}},L=(X,J)=>{if(J.length<=0)return null;const oe=S.filter(me=>me!==X),pe=createBlockContentProcessor(oe,C);for(const me of J)pe.consume(me);return pe},B=()=>{const X=O.pop();if(X!=null){if(O.length>0){const J=O[O.length-1];if(X.hook.onClose!=null){const oe=X.hook.onClose(X.token);if(oe!=null)switch(oe.status){case"closingAndRollback":{const pe=L(X.hook,oe.lines);if(pe==null)break;const me=pe.done();J.token.children.push(...me.children);break}case"failedAndRollback":{J.token.children.pop();const pe=L(X.hook,oe.lines);if(pe==null)break;const me=pe.done();J.token.children.push(...me.children);break}}}}return I>=O.length&&(I=O.length-1),X}},j=X=>{for(;O.length>X;)B()},F=(X,J,oe)=>{j(I+1),O[I].token.children.push(J),N(J.position.end),I+=1,O.push({hook:X,token:J}),oe&&B()},V=(X,J,oe)=>{const pe=L(X,J);if(pe==null)return!1;const me=pe.shallowSnapshot(),xe=me[0];xe.token.children!=null&&oe.token.children.push(...xe.token.children),N(xe.token.position.end);for(let Ae=1;Ae<me.length;++Ae){const ge=me[Ae];O.push(ge)}return I=O.length-1,!0};return{consume:X=>{const{nodePoints:J,startIndex:oe,endIndex:pe}=X;let{firstNonWhitespaceIndex:me,countOfPrecedeSpaces:xe,startIndex:Ae}=X;const ge=()=>({nodePoints:J,startIndex:Ae,endIndex:pe,firstNonWhitespaceIndex:me,countOfPrecedeSpaces:xe}),Te=(Ke,Je)=>{if(invariant$1(Ae<=Ke,`[DBTContext#moveForward] nextIndex(${Ke}) is behind i(${Ae}).`),Je){const Xe=calcEndPoint(J,Ke-1);N(Xe)}if(Ae!==Ke)for(Ae=Ke,xe=0,me=Ke;me<pe;++me){const Xe=J[me].codePoint;if(isSpaceCharacter(Xe)){xe+=1;continue}if(!isWhitespaceCharacter(Xe))break}},we=(Ke,Je)=>{const{token:Xe}=O[I],ot=Ke.eatOpener(Je,Xe);if(ot==null)return!1;invariant$1(ot.nextIndex>Ae,`[consumeNewOpener] The marker of the new data node cannot be empty.
- tokenizer(${ot.token._tokenizer})`),Te(ot.nextIndex,!1);const tt=ot.token;return tt._tokenizer=Ke.name,F(Ke,tt,!!ot.saturated),!0},ke=(Ke,Je)=>{if(Ke.eatAndInterruptPreviousSibling==null)return!1;const{hook:Xe,token:ot}=O[I],{token:tt}=O[I-1];if(Ke.priority<=Xe.priority)return!1;const Ue=Ke.eatAndInterruptPreviousSibling(Je,ot,tt);if(Ue==null)return!1;j(I),tt.children.pop(),Ue.remainingSibling!=null&&(Array.isArray(Ue.remainingSibling)?tt.children.push(...Ue.remainingSibling):tt.children.push(Ue.remainingSibling)),Te(Ue.nextIndex,!1);const et=Ue.token;return et._tokenizer=Ke.name,F(Ke,et,!!Ue.saturated),!0},Be=()=>{if(I=1,O.length<2)return;let{token:Ke}=O[I-1];for(;Ae<pe&&I<O.length;){const Je=O[I],Xe=Je.hook,ot=ge();if(S.some(dt=>dt!==Xe&&ke(dt,ot)))break;const tt=Xe.eatContinuationText==null?{status:"notMatched"}:Xe.eatContinuationText(ot,Je.token,Ke);let Ue=!1,et=!1;switch(tt.status){case"failedAndRollback":{if(Ke.children.pop(),O.length=I,I-=1,tt.lines.length>0){const dt=O[I];if(V(Xe,tt.lines,dt)){et=!0;break}}Ue=!0;break}case"closingAndRollback":{if(j(I),tt.lines.length>0){const dt=O[I];if(V(Xe,tt.lines,dt)){et=!0;break}}Ue=!0;break}case"notMatched":{I-=1,Ue=!0;break}case"closing":{Te(tt.nextIndex,!0),I-=1,Ue=!0;break}case"opening":{Te(tt.nextIndex,!0);break}default:throw new TypeError(`[eatContinuationText] unexpected status (${tt.status}).`)}if(Ue)break;et||(I+=1,Ke=Je.token)}},Ie=()=>{if(!(Ae>=pe)){if(I<O.length){if(O[O.length-1].hook.eatLazyContinuationText!=null&&ge().countOfPrecedeSpaces>=4)return}else I=O.length-1;for(;Ae<pe&&O[I].hook.isContainingBlock;){let Ke=!1;const Je=ge();for(const Xe of S)if(we(Xe,Je)){Ke=!0;break}if(!Ke)break}}},je=()=>{if(Ae>=pe||I+1>=O.length)return!1;const{hook:Ke,token:Je}=O[O.length-1];if(Ke.eatLazyContinuationText==null)return!1;const{token:Xe}=O[O.length-2],ot=ge(),tt=Ke.eatLazyContinuationText(ot,Je,Xe);switch(tt.status){case"notMatched":return!1;case"opening":return I=O.length-1,Te(tt.nextIndex,!0),I=O.length-1,!0;default:throw new TypeError(`[eatLazyContinuationText] unexpected status (${tt.status}).`)}};if(Be(),Ie(),je()||j(I+1),C!=null&&Ae<pe){const Ke=ge();we(C,Ke)}invariant$1(me>=pe,`[IBlockContentProcessor] there is still unprocessed contents. startIndexOfLine(${oe}), endIndexOfLine(${pe})`)},done:()=>{for(;O.length>1;)B();return R},shallowSnapshot:()=>[...O]}},createSinglePriorityDelimiterProcessor=()=>{let S=0;const C=[],R=[],O=[],I=K=>{let W=K-1;for(;W>=0&&R[W].inactive;)W-=1;R.length=W+1},N=(K,W)=>{R.push({hook:K,delimiter:W,inactive:!1,tokenStackIndex:O.length})},L=(K,W)=>{if(R.length<=0)return null;let X=null;for(let J=R.length-1;J>=0;--J){if(X=R[J],X.inactive||X.hook!==K)continue;const oe=X.delimiter,pe=K.isDelimiterPair(oe,W,C);if(pe.paired)return oe;if(!pe.closer)return null}return null},B=(K,W)=>{if(R.length<=0)return W;let X,J=W,oe=[];for(let pe=R.length-1;pe>=0;--pe){const me=R[pe];if(me.hook!==K||me.inactive)continue;const xe=me.tokenStackIndex;for(xe<O.length&&(oe=O.splice(xe).concat(oe)),X=me.delimiter;X!=null&&J!=null;){if(J.type==="opener"){N(K,J),J=void 0;break}if(J.type==="full")break;const Ae=K.isDelimiterPair(X,J,oe);if(!Ae.paired){if(!Ae.opener){const Te=K.processSingleDelimiter(X);if(Te.length>0){for(const we of Te)we._tokenizer=K.name;oe.unshift(...Te)}X=void 0,me.inactive=!0}if(!Ae.closer){const Te=K.processSingleDelimiter(J);if(Te.length>0){for(const we of Te)we._tokenizer=K.name;oe.push(...Te)}J=void 0}break}const ge=K.processDelimiterPair(X,J,oe);{for(const Te of ge.tokens)Te._tokenizer==null&&(Te._tokenizer=K.name);oe=ge.tokens}X=ge.remainOpenerDelimiter,J=ge.remainCloserDelimiter,I(pe),pe=Math.min(pe,R.length),X!=null&&N(K,X)}if(J==null||J.type==="full")break}if(O.push(...oe),J==null)return null;if(J.type==="full"||J.type==="closer"){const pe=K.processSingleDelimiter(J);for(const me of pe)me._tokenizer=K.name,O.push(me);return null}return J};return{process:(K,W)=>{for(;S<C.length;++S){const X=C[S];if(X.startIndex>=W.endIndex)break;X.startIndex>=W.startIndex||O.push(X)}switch(W.type){case"opener":{N(K,W);break}case"both":{const X=B(K,W);X!=null&&N(K,X);break}case"closer":{B(K,W);break}case"full":{const X=K.processSingleDelimiter(W);for(const J of X)J._tokenizer=K.name,O.push(J);break}default:throw new TypeError(`Unexpected delimiter type(${W.type}) from ${K.name}.`)}},done:()=>{const K=[];for(const{delimiter:X,hook:J}of R){const oe=J.processSingleDelimiter(X);for(const pe of oe)pe._tokenizer=J.name,K.push(pe)}if(R.length=0,K.length>0){const X=mergeSortedTokenStack(O,K);O.length=0,O.push(...X)}return O.concat(C.slice(S))},reset:K=>{C.length=K.length;for(let W=0;W<K.length;++W)C[W]=K[W];S=0,R.length=0,O.length=0},findNearestPairedDelimiter:L}},mergeSortedTokenStack=(S,C)=>{if(S.length<=0)return C;if(C.length<=0)return S;const R=[];let O=0,I=0;for(;O<S.length&&I<C.length;)S[O].startIndex<C[I].startIndex?(R.push(S[O]),O+=1):(R.push(C[I]),I+=1);for(;O<S.length;++O)R.push(S[O]);for(;I<C.length;++I)R.push(C[I]);return R},createPhrasingContentProcessor=(S,C)=>{const R=(N,L,B)=>{let j=[],F=null;const V=[N,L];for(const W of B){const X=W.findDelimiter(V);if(X!=null){if(F!=null){if(X.startIndex>F)continue;X.startIndex<F&&(j=[])}F=X.startIndex,j.push({hook:W,delimiter:X})}}if(j.length<=0)return{items:[],nextIndex:-1};const K=F+1;if(j.length>1){let W=0;for(const X of j){const J=X.delimiter.type;if(J==="full")return{items:[X],nextIndex:X.delimiter.endIndex};(J==="both"||J==="closer")&&(W+=1)}if(W>1){let X=-1,J=-1;for(let pe=0;pe<j.length;++pe){const{hook:me,delimiter:xe}=j[pe];if(xe.type==="both"||xe.type==="closer"){const Ae=O.findNearestPairedDelimiter(me,xe);Ae!=null&&J<Ae.startIndex&&(X=pe,J=Ae.startIndex)}}return{items:X>-1?[j[X]]:j.filter(pe=>pe.delimiter.type!=="closer"),nextIndex:K}}}return{items:j,nextIndex:K}},O=createSinglePriorityDelimiterProcessor();return{process:(N,L,B)=>{let j=N;for(let F=C;F<S.length;++F){const V=S[F];for(const W of V)W.reset();let K=0;O.reset(j);for(let W=L;W<B;){let X=B;for(;K<j.length;++K){const pe=j[K];if(W<pe.startIndex){X=pe.startIndex;break}W<pe.endIndex&&(W=pe.endIndex)}const{items:J,nextIndex:oe}=R(W,X,V);if(oe<0||J.length<=0){W=oe<0?X:oe;continue}W+=1;for(const{hook:pe,delimiter:me}of J)W=Math.max(W,me.endIndex),O.process(pe,me)}j=O.done()}return j}}},createProcessorHookGroups=(S,C,R)=>{const O=[];for(let I=0;I<S.length;){const N=[];O.push(N);const L=createPhrasingContentProcessor(O,O.length),B=Object.freeze({...C,resolveInternalTokens:(F,V,K)=>{let W=L.process(F,V,K);return W=R(W,V,K),W}}),j=S[I].priority;for(;I<S.length;++I){const F=S[I];if(F.priority!==j)break;const V=createProcessorHook(F,B);N.push(V)}}return O},createProcessorHook=(S,C)=>{let R;const O=S.match(C);return{isDelimiterPair:()=>({paired:!0}),processDelimiterPair:(I,N,L)=>({tokens:L}),processSingleDelimiter:()=>[],...O,name:S.name,priority:S.priority,findDelimiter:I=>R.next(I).value,reset:()=>{R=O.findDelimiter(),R.next()}}};function createProcessor(S){const{inlineTokenizers:C,inlineTokenizerMap:R,blockTokenizers:O,blockTokenizerMap:I,blockFallbackTokenizer:N,inlineFallbackTokenizer:L,shouldReservePosition:B,presetDefinitions:j,presetFootnoteDefinitions:F,formatUrl:V}=S;let K=!1;const W=new Set,X=new Set;let J=[],oe=-1,pe=-1;const me=Object.freeze({matchBlockApi:{extractPhrasingLines:Ie,rollbackPhrasingLines:je,registerDefinitionIdentifier:et=>{K&&W.add(et)},registerFootnoteDefinitionIdentifier:et=>{K&&X.add(et)}},parseBlockApi:{shouldReservePosition:B,formatUrl:V,processInlines:ot,parseBlockTokens:Xe},matchInlineApi:{hasDefinition:et=>W.has(et),hasFootnoteDefinition:et=>X.has(et),getNodePoints:()=>J,getBlockStartIndex:()=>oe,getBlockEndIndex:()=>pe,resolveFallbackTokens:Ke},parseInlineApi:{shouldReservePosition:B,calcPosition:et=>({start:calcStartPoint(J,et.startIndex),end:calcEndPoint(J,et.endIndex-1)}),formatUrl:V,getNodePoints:()=>J,hasDefinition:et=>W.has(et),hasFootnoteDefinition:et=>X.has(et),parseInlineTokens:Ue}}),xe=O.map(et=>({...et.match(me.matchBlockApi),name:et.name,priority:et.priority})),Ae=new Map(Array.from(I.entries()).map(et=>[et[0],et[1].parse(me.parseBlockApi)])),ge=N?{...N.match(me.matchBlockApi),name:N.name,priority:N.priority}:null,Te=createProcessorHookGroups(C,me.matchInlineApi,Ke),we=new Map(Array.from(R.entries()).map(et=>[et[0],et[1].parse(me.parseInlineApi)])),ke=createPhrasingContentProcessor(Te,0);return{process:Be};function Be(et){W.clear(),X.clear(),K=!0;const dt=Je(et);K=!1;for(const lt of j)W.add(lt.identifier);for(const lt of F)X.add(lt.identifier);const gt=Xe(dt.children);return B?{type:"root",position:dt.position,children:gt}:{type:"root",children:gt}}function Ie(et){const dt=I.get(et._tokenizer);return(dt==null?void 0:dt.extractPhrasingContentLines(et))??null}function je(et,dt){if(dt!=null){const Qe=I.get(dt._tokenizer);if(Qe!==void 0&&Qe.buildBlockToken!=null){const lt=Qe.buildBlockToken(et,dt);if(lt!==null)return lt._tokenizer=Qe.name,[lt]}}return Je([et]).children}function Ke(et,dt,gt){if(L==null)return et;let Qe=dt;const lt=[];for(const ht of et){if(Qe<ht.startIndex){const Ct=L.findAndHandleDelimiter(Qe,ht.startIndex,me.matchInlineApi);Ct._tokenizer=L.name,lt.push(Ct)}lt.push(ht),Qe=ht.endIndex}if(Qe<gt){const ht=L.findAndHandleDelimiter(Qe,gt,me.matchInlineApi);ht._tokenizer=L.name,lt.push(ht)}return lt}function Je(et){const dt=createBlockContentProcessor(xe,ge);for(const Qe of et)for(const lt of Qe)dt.consume(lt);return dt.done()}function Xe(et){if(et===void 0||et.length<=0)return[];const dt=[];for(let gt=0,Qe;gt<et.length;gt=Qe){const lt=et[gt]._tokenizer;for(Qe=gt+1;Qe<et.length&&et[Qe]._tokenizer===lt;)Qe+=1;const ht=Ae.get(lt);invariant$1(ht!==void 0,`[parseBlock] tokenizer '${lt}' not found`);const Ct=ht.parse(et.slice(gt,Qe));dt.push(...Ct)}return dt}function ot(et){if(et.length<=0)return[];const dt=tt(et,0,et.length);return Ue(dt)}function tt(et,dt,gt){J=et,oe=dt,pe=gt;const Qe=ke.process([],dt,gt);return Ke(Qe,dt,gt)}function Ue(et){if(et===void 0||et.length<=0)return[];const dt=[];for(let gt=0,Qe;gt<et.length;gt=Qe){const lt=et[gt]._tokenizer;for(Qe=gt+1;Qe<et.length&&et[Qe]._tokenizer===lt;)Qe+=1;const ht=we.get(lt);invariant$1(ht!==void 0,`[parseBlock] tokenizer '${lt}' not found`);const Ct=ht.parse(et.slice(gt,Qe));dt.push(...Ct)}return dt}}function*createPhrasingLineGenerator(S){const C=[];let R=0,O=0,I=0;for(const N of S){const L=[];for(const B of N){const j=B.codePoint;if(O===C.length&&isSpaceCharacter(j)&&(I+=1,O+=1),C.push(B),isLineEnding(j)){O+1===C.length&&(O+=1);const F={nodePoints:C,startIndex:R,endIndex:C.length,firstNonWhitespaceIndex:O,countOfPrecedeSpaces:I};L.push(F),R=C.length,O=C.length,I=0}}yield L}return R<C.length&&(yield[{nodePoints:C,startIndex:R,endIndex:C.length,firstNonWhitespaceIndex:O,countOfPrecedeSpaces:I}]),C}class DefaultParser{constructor(C){Cn(this,"blockTokenizers");Cn(this,"blockTokenizerMap");Cn(this,"inlineTokenizers");Cn(this,"inlineTokenizerMap");Cn(this,"blockFallbackTokenizer",null);Cn(this,"inlineFallbackTokenizer",null);Cn(this,"defaultParseOptions",null);this.inlineTokenizers=[],this.inlineTokenizerMap=new Map,this.blockTokenizers=[],this.blockTokenizerMap=new Map,this.setDefaultParseOptions(C.defaultParseOptions),C.blockFallbackTokenizer&&this.useFallbackTokenizer(C.blockFallbackTokenizer),C.inlineFallbackTokenizer&&this.useFallbackTokenizer(C.inlineFallbackTokenizer)}useTokenizer(C,R){const O=C.type===TokenizerType.BLOCK?this.blockTokenizers:this.inlineTokenizers,I=C.type===TokenizerType.BLOCK?this.blockTokenizerMap:this.inlineTokenizerMap;return this._registerTokenizer(O,I,C,R),this}replaceTokenizer(C,R){const O=C.type===TokenizerType.BLOCK?this.blockTokenizers:this.inlineTokenizers,I=C.type===TokenizerType.BLOCK?this.blockTokenizerMap:this.inlineTokenizerMap;return this._replaceTokenizer(O,I,C,R),this}unmountTokenizer(C){return this._unregisterTokenizer(this.inlineTokenizers,this.inlineTokenizerMap,C),this._unregisterTokenizer(this.blockTokenizers,this.blockTokenizerMap,C),this}useFallbackTokenizer(C){switch(C.type){case TokenizerType.BLOCK:this.blockFallbackTokenizer&&this.unmountTokenizer(this.blockFallbackTokenizer),this.blockTokenizerMap.set(C.name,C),this.blockFallbackTokenizer=C;break;case TokenizerType.INLINE:this.inlineFallbackTokenizer&&this.unmountTokenizer(this.inlineFallbackTokenizer),this.inlineTokenizerMap.set(C.name,C),this.inlineFallbackTokenizer=C;break}return this}setDefaultParseOptions(C={}){this.defaultParseOptions={presetDefinitions:[],presetFootnoteDefinitions:[],shouldReservePosition:!1,formatUrl:encodeLinkDestination,...C}}parse(C,R={}){const{shouldReservePosition:O,presetDefinitions:I,presetFootnoteDefinitions:N,formatUrl:L}={...this.defaultParseOptions,...R},B=createNodePointGenerator(C),j=createPhrasingLineGenerator(B);return createProcessor({inlineTokenizers:this.inlineTokenizers,inlineTokenizerMap:this.inlineTokenizerMap,blockTokenizers:this.blockTokenizers,blockTokenizerMap:this.blockTokenizerMap,blockFallbackTokenizer:this.blockFallbackTokenizer,inlineFallbackTokenizer:this.inlineFallbackTokenizer,shouldReservePosition:O,presetDefinitions:I,presetFootnoteDefinitions:N,formatUrl:L}).process(j)}_replaceTokenizer(C,R,O,I){this._unregisterTokenizer(C,R,O.name),this._registerTokenizer(C,R,O,I)}_registerTokenizer(C,R,O,I){if(R.has(O.name)&&R.get(O.name)!=null)throw new TypeError(`[useTokenizer] Name(${O.name}) has been registered.`);R.set(O.name,O);let N=0;for(;N<C.length;++N){const L=C[N];if(I===L.name||O.priority>L.priority)break}N<0||N>=C.length?C.push(O):C.splice(N,0,O)}_unregisterTokenizer(C,R,O){var B,j;const I=typeof O=="string"?O:O.name;if(!R.delete(I))return;((B=this.blockFallbackTokenizer)==null?void 0:B.name)===I&&(this.blockFallbackTokenizer=null),((j=this.inlineFallbackTokenizer)==null?void 0:j.name)===I&&(this.inlineFallbackTokenizer=null);const L=C.findIndex(F=>F.name===I);L>=0&&C.splice(L,1)}}function eatEmailAddress(S,C,R){let O=C;for(;O<R;O+=1){const I=S[O].codePoint;if(!(isAsciiLetter(I)||isAsciiDigitCharacter(I))&&I!==AsciiCodePoint.DOT&&I!==AsciiCodePoint.EXCLAMATION_MARK&&I!==AsciiCodePoint.NUMBER_SIGN&&I!==AsciiCodePoint.DOLLAR_SIGN&&I!==AsciiCodePoint.PERCENT_SIGN&&I!==AsciiCodePoint.AMPERSAND&&I!==AsciiCodePoint.SINGLE_QUOTE&&I!==AsciiCodePoint.ASTERISK&&I!==AsciiCodePoint.PLUS_SIGN&&I!==AsciiCodePoint.SLASH&&I!==AsciiCodePoint.EQUALS_SIGN&&I!==AsciiCodePoint.QUESTION_MARK&&I!==AsciiCodePoint.CARET&&I!==AsciiCodePoint.UNDERSCORE&&I!==AsciiCodePoint.BACKTICK&&I!==AsciiCodePoint.OPEN_BRACE&&I!==AsciiCodePoint.VERTICAL_SLASH&&I!==AsciiCodePoint.CLOSE_BRACE&&I!==AsciiCodePoint.TILDE&&I!==AsciiCodePoint.MINUS_SIGN)break}if(O===C||O+1>=R||S[O].codePoint!==AsciiCodePoint.AT_SIGN||!isAlphanumeric(S[O+1].codePoint))return{valid:!1,nextIndex:O+1};for(O=eatAddressPart0(S,O+2,R);O+1<R;){let I=S[O].codePoint;if(I!==AsciiCodePoint.DOT||(I=S[O+1].codePoint,!isAsciiLetter(I)&&!isAsciiDigitCharacter(I)))break;O=eatAddressPart0(S,O+2,R)}return{valid:!0,nextIndex:O}}function eatAddressPart0(S,C,R){let O=C,I=-1;for(let N=Math.min(R,O+62);O<N;++O){const L=S[O].codePoint;if(isAsciiLetter(L)||isAsciiDigitCharacter(L)){I=O;continue}if(L!==AsciiCodePoint.MINUS_SIGN)break}return I>=C?I+1:C}function eatAbsoluteUri(S,C,R){const O=eatAutolinkSchema(S,C,R);let{nextIndex:I}=O;if(!O.valid||I>=R||S[I].codePoint!==AsciiCodePoint.COLON)return{valid:!1,nextIndex:I};for(I+=1;I<R;++I){const N=S[I].codePoint;if(!isAsciiCharacter(N)||isWhitespaceCharacter(N)||isAsciiControlCharacter(N)||N===AsciiCodePoint.OPEN_ANGLE||N===AsciiCodePoint.CLOSE_ANGLE)break}return{valid:!0,nextIndex:I}}function eatAutolinkSchema(S,C,R){let O=C;const I=S[O].codePoint;if(!isAsciiLetter(I))return{valid:!1,nextIndex:O+1};for(O+=1;O<R;++O){const L=S[O].codePoint;if(!(isAlphanumeric(L)||L===AsciiCodePoint.PLUS_SIGN||L===AsciiCodePoint.DOT||L===AsciiCodePoint.MINUS_SIGN))break}const N=O-C;return N<2||N>32?{valid:!1,nextIndex:O+1}:{valid:!0,nextIndex:O}}const helpers=[{contentType:"uri",eat:eatAbsoluteUri},{contentType:"email",eat:eatEmailAddress}],match$n=function(S){return{findDelimiter:()=>genFindDelimiter(C),processSingleDelimiter:R};function C(O,I){const N=S.getNodePoints();for(let L=O;L<I;++L){if(N[L].codePoint!==AsciiCodePoint.OPEN_ANGLE)continue;let B=I,j=null;for(const F of helpers){const V=F.eat(N,L+1,I);if(B=Math.min(B,V.nextIndex),V.valid){j=F.contentType,B=V.nextIndex;break}}if(j==null){L=Math.max(L,B-1);continue}if(B<I&&N[B].codePoint===AsciiCodePoint.CLOSE_ANGLE)return{type:"full",startIndex:L,endIndex:B+1,contentType:j};L=B-1}return null}function R(O){return[{nodeType:LinkType,startIndex:O.startIndex,endIndex:O.endIndex,contentType:O.contentType,children:S.resolveFallbackTokens([],O.startIndex+1,O.endIndex-1)}]}},parse$k=function(S){return{parse:C=>C.map(R=>{const O=S.getNodePoints();let I=calcStringFromNodePoints(O,R.startIndex+1,R.endIndex-1);R.contentType==="email"&&(I="mailto:"+I);const N=S.formatUrl(I),L=S.parseInlineTokens(R.children);return S.shouldReservePosition?{type:LinkType,position:S.calcPosition(R),url:N,children:L}:{type:LinkType,url:N,children:L}})}},uniqueName$j="@yozora/tokenizer-autolink";class AutolinkTokenizer extends BaseInlineTokenizer{constructor(R={}){super({name:R.name??uniqueName$j,priority:R.priority??TokenizerPriority.ATOMIC});Cn(this,"match",match$n);Cn(this,"parse",parse$k)}}const match$m=function(){return{isContainingBlock:!0,eatOpener:S,eatAndInterruptPreviousSibling:C,eatContinuationText:R};function S(O){if(O.countOfPrecedeSpaces>=4)return null;const{nodePoints:I,startIndex:N,endIndex:L,firstNonWhitespaceIndex:B}=O;if(B>=L||I[B].codePoint!==AsciiCodePoint.CLOSE_ANGLE)return null;let j=B+1;return j<L&&isSpaceCharacter(I[j].codePoint)&&(j+=1,j<L&&I[j].codePoint===VirtualCodePoint.SPACE&&(j+=1)),{token:{nodeType:BlockquoteType,position:{start:calcStartPoint(I,N),end:calcEndPoint(I,j-1)},children:[]},nextIndex:j}}function C(O,I){const N=S(O);return N==null?null:{token:N.token,nextIndex:N.nextIndex,remainingSibling:I}}function R(O,I,N){const{nodePoints:L,startIndex:B,endIndex:j,firstNonWhitespaceIndex:F,countOfPrecedeSpaces:V}=O;return V>=4||F>=j||L[F].codePoint!==AsciiCodePoint.CLOSE_ANGLE?N.nodeType===BlockquoteType?{status:"opening",nextIndex:B}:{status:"notMatched"}:{status:"opening",nextIndex:F+1<j&&isSpaceCharacter(L[F+1].codePoint)?F+2:F+1}}},parse$j=function(S){return{parse:C=>C.map(R=>{const O=S.parseBlockTokens(R.children);return S.shouldReservePosition?{type:BlockquoteType,position:R.position,children:O}:{type:BlockquoteType,children:O}})}},uniqueName$i="@yozora/tokenizer-blockquote";class BlockquoteTokenizer extends BaseBlockTokenizer{constructor(R={}){super({name:R.name??uniqueName$i,priority:R.priority??TokenizerPriority.CONTAINING_BLOCK});Cn(this,"match",match$m);Cn(this,"parse",parse$j)}}const uniqueName$h="@yozora/tokenizer-break";var BreakTokenMarkerType;(function(S){S.BACKSLASH="backslash",S.MORE_THAN_TWO_SPACES="more-than-two-spaces"})(BreakTokenMarkerType||(BreakTokenMarkerType={}));const match$l=function(S){return{findDelimiter:()=>genFindDelimiter(C),processSingleDelimiter:R};function C(O,I){const N=S.getNodePoints();for(let L=O+1;L<I;++L){if(N[L].codePoint!==VirtualCodePoint.LINE_END)continue;const B=N[L-1].codePoint;let j=null,F=null;switch(B){case AsciiCodePoint.BACKSLASH:{let V=L-2;for(;V>=O&&N[V].codePoint===AsciiCodePoint.BACKSLASH;V-=1);L-V&1||(j=L-1,F=BreakTokenMarkerType.BACKSLASH);break}case AsciiCodePoint.SPACE:{let V=L-2;for(;V>=O&&N[V].codePoint===AsciiCodePoint.SPACE;V-=1);L-V>2&&(j=V+1,F=BreakTokenMarkerType.MORE_THAN_TWO_SPACES);break}}if(!(j==null||F==null))return{type:"full",markerType:F,startIndex:j,endIndex:L}}return null}function R(O){return[{nodeType:BreakType,startIndex:O.startIndex,endIndex:O.endIndex}]}},parse$i=function(S){return{parse:C=>C.map(R=>S.shouldReservePosition?{type:BreakType,position:S.calcPosition(R)}:{type:BreakType})}};class BreakTokenizer extends BaseInlineTokenizer{constructor(R={}){super({name:R.name??uniqueName$h,priority:R.priority??TokenizerPriority.SOFT_INLINE});Cn(this,"match",match$l);Cn(this,"parse",parse$i)}}function eatAndCollectLinkDestination(S,C,R,O){let I=C;O==null&&(O={saturated:!1,nodePoints:[],hasOpenAngleBracket:!1,openParensCount:0});const N=eatOptionalWhitespaces(S,I,R);if(N>=R)return{nextIndex:-1,state:O};if(O.nodePoints.length<=0){I=N;const L=S[I];L.codePoint===AsciiCodePoint.OPEN_ANGLE&&(I+=1,O.hasOpenAngleBracket=!0,O.nodePoints.push(L))}if(O.hasOpenAngleBracket){for(;I<R;++I){const L=S[I];switch(L.codePoint){case AsciiCodePoint.BACKSLASH:I+1<R&&(O.nodePoints.push(L),O.nodePoints.push(S[I+1])),I+=1;break;case AsciiCodePoint.OPEN_ANGLE:case VirtualCodePoint.LINE_END:return{nextIndex:-1,state:O};case AsciiCodePoint.CLOSE_ANGLE:return O.saturated=!0,O.nodePoints.push(L),{nextIndex:I+1,state:O};default:O.nodePoints.push(L)}}return{nextIndex:I,state:O}}for(;I<R;++I){const L=S[I];switch(L.codePoint){case AsciiCodePoint.BACKSLASH:I+1<R&&(O.nodePoints.push(L),O.nodePoints.push(S[I+1])),I+=1;break;case AsciiCodePoint.OPEN_PARENTHESIS:O.openParensCount+=1,O.nodePoints.push(L);break;case AsciiCodePoint.CLOSE_PARENTHESIS:if(O.openParensCount-=1,O.nodePoints.push(L),O.openParensCount<0)return{nextIndex:I,state:O};break;default:if(isWhitespaceCharacter(L.codePoint)||isAsciiControlCharacter(L.codePoint))return O.saturated=!0,{nextIndex:I,state:O};O.nodePoints.push(L);break}}return O.saturated=!0,{nextIndex:I,state:O}}function eatAndCollectLinkLabel(S,C,R,O){let I=C;O==null&&(O={saturated:!1,nodePoints:[],hasNonWhitespaceCharacter:!1});const N=eatOptionalWhitespaces(S,I,R);if(N>=R)return{nextIndex:-1,state:O};if(O.nodePoints.length<=0){I=N;const L=S[I];if(L.codePoint!==AsciiCodePoint.OPEN_BRACKET)return{nextIndex:-1,state:O};I+=1,O.nodePoints.push(L)}for(;I<R;++I){const L=S[I];switch(L.codePoint){case AsciiCodePoint.BACKSLASH:O.hasNonWhitespaceCharacter=!0,I+1<R&&(O.nodePoints.push(L),O.nodePoints.push(S[I+1])),I+=1;break;case AsciiCodePoint.OPEN_BRACKET:return{nextIndex:-1,state:O};case AsciiCodePoint.CLOSE_BRACKET:return O.nodePoints.push(L),O.hasNonWhitespaceCharacter?(O.saturated=!0,{nextIndex:I+1,state:O}):{nextIndex:-1,state:O};default:isWhitespaceCharacter(L.codePoint)||(O.hasNonWhitespaceCharacter=!0),O.nodePoints.push(L)}}return{nextIndex:1,state:O}}function eatAndCollectLinkTitle(S,C,R,O){let I=C;O==null&&(O={saturated:!1,nodePoints:[],wrapSymbol:null});const N=eatOptionalWhitespaces(S,I,R);if(N>=R)return{nextIndex:-1,state:O};if(O.nodePoints.length<=0){I=N;const L=S[I];switch(L.codePoint){case AsciiCodePoint.DOUBLE_QUOTE:case AsciiCodePoint.SINGLE_QUOTE:case AsciiCodePoint.OPEN_PARENTHESIS:O.wrapSymbol=L.codePoint,O.nodePoints.push(L),I+=1;break;default:return{nextIndex:-1,state:O}}}if(O.wrapSymbol==null)return{nextIndex:-1,state:O};switch(O.wrapSymbol){case AsciiCodePoint.DOUBLE_QUOTE:case AsciiCodePoint.SINGLE_QUOTE:{for(;I<R;++I){const L=S[I];switch(L.codePoint){case AsciiCodePoint.BACKSLASH:I+1<R&&(O.nodePoints.push(L),O.nodePoints.push(S[I+1])),I+=1;break;case O.wrapSymbol:return O.saturated=!0,O.nodePoints.push(L),{nextIndex:I+1,state:O};default:O.nodePoints.push(L)}}break}case AsciiCodePoint.OPEN_PARENTHESIS:{for(;I<R;++I){const L=S[I];switch(L.codePoint){case AsciiCodePoint.BACKSLASH:I+1<R&&(O.nodePoints.push(L),O.nodePoints.push(S[I+1])),I+=1;break;case AsciiCodePoint.OPEN_PARENTHESIS:return{nextIndex:-1,state:O};case AsciiCodePoint.CLOSE_PARENTHESIS:if(I+1>=R||S[I+1].codePoint===VirtualCodePoint.LINE_END){O.nodePoints.push(L),O.saturated=!0;break}return{nextIndex:-1,state:O};default:O.nodePoints.push(L)}}break}}return{nextIndex:R,state:O}}const match$k=function(S){return{isContainingBlock:!1,eatOpener:C,eatContinuationText:R,onClose:O};function C(I){if(I.countOfPrecedeSpaces>=4)return null;const{nodePoints:N,startIndex:L,endIndex:B,firstNonWhitespaceIndex:j}=I;if(j>=B)return null;let F=j;const{nextIndex:V,state:K}=eatAndCollectLinkLabel(N,F,B,null);if(V<0)return null;const W=N[L].line,X=()=>({nodeType:DefinitionType,position:{start:calcStartPoint(N,L),end:calcEndPoint(N,B-1)},label:K,destination:null,title:null,lineNoOfLabel:W,lineNoOfDestination:-1,lineNoOfTitle:-1,lines:[I]});if(!K.saturated)return{token:X(),nextIndex:B};if(V<0||V+1>=B||N[V].codePoint!==AsciiCodePoint.COLON)return null;if(F=eatOptionalWhitespaces(N,V+1,B),F>=B)return{token:X(),nextIndex:B};const{nextIndex:J,state:oe}=eatAndCollectLinkDestination(N,F,B,null);if(J<0||!oe.saturated&&J!==B)return null;if(F=eatOptionalWhitespaces(N,J,B),F>=B){const Ae=X();return Ae.destination=oe,Ae.lineNoOfDestination=W,{token:Ae,nextIndex:B}}if(F===J)return null;const{nextIndex:pe,state:me}=eatAndCollectLinkTitle(N,F,B,null);if(pe>=0&&(F=pe),F<B&&eatOptionalWhitespaces(N,F,B)<B)return null;const xe=X();return xe.destination=oe,xe.title=me,xe.lineNoOfDestination=W,xe.lineNoOfTitle=W,{token:xe,nextIndex:B}}function R(I,N){var oe;if(N.title!=null&&N.title.saturated)return{status:"notMatched"};const{nodePoints:L,startIndex:B,firstNonWhitespaceIndex:j,endIndex:F}=I,V=L[B].line;let K=j;if(!N.label.saturated){const{nextIndex:pe,state:me}=eatAndCollectLinkLabel(L,K,F,N.label);if(pe<0)return{status:"failedAndRollback",lines:N.lines};if(!me.saturated)return N.lines.push(I),{status:"opening",nextIndex:F};if(pe+1>=F||L[pe].codePoint!==AsciiCodePoint.COLON)return{status:"failedAndRollback",lines:N.lines};K=pe+1}if(N.destination==null){if(K=eatOptionalWhitespaces(L,K,F),K>=F)return{status:"failedAndRollback",lines:N.lines};const{nextIndex:pe,state:me}=eatAndCollectLinkDestination(L,K,F,null);if(pe<0||!me.saturated)return{status:"failedAndRollback",lines:N.lines};if(K=eatOptionalWhitespaces(L,pe,F),K>=F)return N.destination=me,N.lines.push(I),{status:"opening",nextIndex:F};N.lineNoOfDestination=V,N.lineNoOfTitle=V}N.lineNoOfTitle<0&&(N.lineNoOfTitle=V);const{nextIndex:W,state:X}=eatAndCollectLinkTitle(L,K,F,N.title);if(N.title=X,W<0||X.nodePoints.length<=0||X.saturated&&eatOptionalWhitespaces(L,W,F)<F){if(N.lineNoOfDestination===N.lineNoOfTitle)return{status:"failedAndRollback",lines:N.lines};const pe=N.lines[N.lines.length-1];return N.title=null,N.position.end=calcEndPoint(pe.nodePoints,pe.endIndex-1),{status:"closingAndRollback",lines:N.lines.slice(N.lineNoOfTitle-1)}}return N.lines.push(I),{status:((oe=N.title)==null?void 0:oe.saturated)?"closing":"opening",nextIndex:F}}function O(I){let N;if(I.title==null||!I.title.saturated){if(!I.label.saturated)return{status:"failedAndRollback",lines:I.lines};if(I.destination==null||!I.destination.saturated)return{status:"failedAndRollback",lines:I.lines};if(I.title!=null&&!I.title.saturated){if(I.lineNoOfDestination===I.lineNoOfTitle)return{status:"failedAndRollback",lines:I.lines};const F=I.lines.splice(I.lineNoOfTitle-1),V=I.lines[I.lines.length-1];I.title=null,I.position.end=calcEndPoint(V.nodePoints,V.endIndex-1),N={status:"closingAndRollback",lines:F}}}const L=I.label.nodePoints,B=calcStringFromNodePoints(L,1,L.length-1),j=resolveLabelToIdentifier(B);return S.registerDefinitionIdentifier(j),I._label=B,I._identifier=j,N}},parse$h=function(S){return{parse:C=>C.map(R=>{const O=R._label,I=R._identifier,N=R.destination.nodePoints,L=N[0].codePoint===AsciiCodePoint.OPEN_ANGLE?calcEscapedStringFromNodePoints(N,1,N.length-1,!0):calcEscapedStringFromNodePoints(N,0,N.length,!0),B=S.formatUrl(L),j=R.title==null?void 0:calcEscapedStringFromNodePoints(R.title.nodePoints,1,R.title.nodePoints.length-1);return S.shouldReservePosition?{type:DefinitionType,position:R.position,identifier:I,label:O,url:B,title:j}:{type:DefinitionType,identifier:I,label:O,url:B,title:j}})}},uniqueName$g="@yozora/tokenizer-definition";class DefinitionTokenizer extends BaseBlockTokenizer{constructor(R={}){super({name:R.name??uniqueName$g,priority:R.priority??TokenizerPriority.ATOMIC});Cn(this,"match",match$k);Cn(this,"parse",parse$h)}}const match$j=function(S){return{findDelimiter:()=>genFindDelimiter(C),isDelimiterPair:R,processDelimiterPair:O};function C(I,N){const L=S.getNodePoints(),B=S.getBlockStartIndex(),j=S.getBlockEndIndex(),F=(K,W)=>{if(W===j)return!1;if(W===N)return!0;const X=L[W];if(isUnicodeWhitespaceCharacter(X.codePoint))return!1;if(!isPunctuationCharacter(X.codePoint)||K<=I)return!0;const J=L[K-1];return isUnicodeWhitespaceCharacter(J.codePoint)||isPunctuationCharacter(J.codePoint)},V=(K,W)=>{if(K===B)return!1;if(K===I)return!0;const X=L[K-1];if(isUnicodeWhitespaceCharacter(X.codePoint))return!1;if(!isPunctuationCharacter(X.codePoint)||W>=N)return!0;const J=L[W];return isUnicodeWhitespaceCharacter(J.codePoint)||isPunctuationCharacter(J.codePoint)};for(let K=I;K<N;++K){const W=L[K].codePoint;switch(W){case AsciiCodePoint.BACKSLASH:K+=1;break;case AsciiCodePoint.ASTERISK:case AsciiCodePoint.UNDERSCORE:{const X=K;K=eatOptionalCharacters(L,K+1,N,W)-1;const J=K+1,oe=F(X,J),pe=V(X,J);let me=oe,xe=pe;if(W===AsciiCodePoint.UNDERSCORE&&oe&&pe){X>I&&!isPunctuationCharacter(L[X-1].codePoint)&&(me=!1);const ge=L[J];isPunctuationCharacter(ge.codePoint)||(xe=!1)}if(!me&&!xe)break;const Ae=J-X;return{type:me?xe?"both":"opener":"closer",startIndex:X,endIndex:J,thickness:Ae,originalThickness:Ae}}}}return null}function R(I,N){const L=S.getNodePoints();return L[I.startIndex].codePoint!==L[N.startIndex].codePoint||(I.type==="both"||N.type==="both")&&(I.originalThickness+N.originalThickness)%3===0&&I.originalThickness%3!==0?{paired:!1,opener:!0,closer:!0}:{paired:!0}}function O(I,N,L){let B=1;I.thickness>1&&N.thickness>1&&(B=2),L=S.resolveInternalTokens(L,I.endIndex,N.startIndex);const j={nodeType:B===1?EmphasisType:StrongType,startIndex:I.endIndex-B,endIndex:N.startIndex+B,thickness:B,children:L},F=I.thickness>B?{type:I.type,startIndex:I.startIndex,endIndex:I.endIndex-B,thickness:I.thickness-B,originalThickness:I.originalThickness}:void 0,V=N.thickness>B?{type:N.type,startIndex:N.startIndex+B,endIndex:N.endIndex,thickness:N.thickness-B,originalThickness:N.originalThickness}:void 0;return{tokens:[j],remainOpenerDelimiter:F,remainCloserDelimiter:V}}},parse$g=function(S){return{parse:C=>C.map(R=>{const O=S.parseInlineTokens(R.children);return S.shouldReservePosition?{type:R.nodeType,position:S.calcPosition(R),children:O}:{type:R.nodeType,children:O}})}},uniqueName$f="@yozora/tokenizer-emphasis";class EmphasisTokenizer extends BaseInlineTokenizer{constructor(R={}){super({name:R.name??uniqueName$f,priority:R.priority??TokenizerPriority.CONTAINING_INLINE});Cn(this,"match",match$j);Cn(this,"parse",parse$g)}}function match$i(S){const{nodeType:C,markers:R,markersRequired:O,checkInfoString:I}=this;return{isContainingBlock:!1,eatOpener:N,eatAndInterruptPreviousSibling:L,eatContinuationText:B};function N(j){if(j.countOfPrecedeSpaces>=4)return null;const{endIndex:F,firstNonWhitespaceIndex:V}=j;if(V+O-1>=F)return null;const{nodePoints:K,startIndex:W}=j,X=K[V].codePoint;if(R.indexOf(X)<0)return null;const J=eatOptionalCharacters(K,V+1,F,X),oe=J-V;if(oe<O)return null;const[pe,me]=calcTrimBoundaryOfCodePoints(K,J,F),xe=K.slice(pe,me);if(I!=null&&!I(xe,X,oe))return null;const Ae=F;return{token:{nodeType:C,position:{start:calcStartPoint(K,W),end:calcEndPoint(K,Ae-1)},indent:V-W,marker:X,markerCount:oe,lines:[],infoString:xe},nextIndex:Ae}}function L(j,F){const V=N(j);return V==null?null:{token:V.token,nextIndex:V.nextIndex,remainingSibling:F}}function B(j,F){const{nodePoints:V,startIndex:K,endIndex:W,firstNonWhitespaceIndex:X,countOfPrecedeSpaces:J}=j;if(J<4&&X<W){let pe=eatOptionalCharacters(V,X,W,F.marker);if(pe-X>=F.markerCount){for(;pe<W;++pe){const xe=V[pe].codePoint;if(!isSpaceCharacter(xe))break}if(pe+1>=W)return{status:"closing",nextIndex:W}}}const oe=Math.min(K+F.indent,X,W-1);return F.lines.push({nodePoints:V,startIndex:oe,endIndex:W,firstNonWhitespaceIndex:X,countOfPrecedeSpaces:J}),{status:"opening",nextIndex:W}}}class FencedBlockTokenizer extends BaseBlockTokenizer{constructor(R){super({name:R.name,priority:R.priority??TokenizerPriority.FENCED_BLOCK});Cn(this,"nodeType");Cn(this,"markers",[]);Cn(this,"markersRequired");Cn(this,"checkInfoString");Cn(this,"match",match$i);this.nodeType=R.nodeType,this.markers=R.markers,this.markersRequired=R.markersRequired,this.checkInfoString=R.checkInfoString}}const match$h=function(S){return{...match$i.call(this,S),isContainingBlock:!1}},parse$f=function(S){return{parse:C=>C.map(R=>{const O=R.infoString;let I=0;const N=[];for(;I<O.length;++I){const K=O[I];if(isUnicodeWhitespaceCharacter(K.codePoint))break;N.push(K)}const L=calcEscapedStringFromNodePoints(N,0,N.length,!0);I=eatOptionalWhitespaces(O,I,O.length);const B=calcEscapedStringFromNodePoints(O,I,O.length,!0),j=mergeContentLinesFaithfully(R.lines);let F=calcStringFromNodePoints(j);return/\n$/.test(F)||(F+=`
-`),S.shouldReservePosition?{type:CodeType,position:R.position,lang:L.length>0?L:null,meta:B.length>0?B:null,value:F}:{type:CodeType,lang:L.length>0?L:null,meta:B.length>0?B:null,value:F}})}},uniqueName$e="@yozora/tokenizer-fenced-code";class FencedCodeTokenizer extends FencedBlockTokenizer{constructor(R={}){super({name:R.name??uniqueName$e,priority:R.priority??TokenizerPriority.FENCED_BLOCK,nodeType:CodeType,markers:[AsciiCodePoint.BACKTICK,AsciiCodePoint.TILDE],markersRequired:3,checkInfoString:(O,I)=>{if(I===AsciiCodePoint.BACKTICK){for(const N of O)if(N.codePoint===AsciiCodePoint.BACKTICK)return!1}return!0}});Cn(this,"match",match$h);Cn(this,"parse",parse$f)}}const match$g=function(){return{isContainingBlock:!1,eatOpener:S,eatAndInterruptPreviousSibling:C};function S(R){if(R.countOfPrecedeSpaces>=4)return null;const{nodePoints:O,startIndex:I,endIndex:N,firstNonWhitespaceIndex:L}=R;if(L>=N||O[L].codePoint!==AsciiCodePoint.NUMBER_SIGN)return null;const B=eatOptionalCharacters(O,L+1,N,AsciiCodePoint.NUMBER_SIGN),j=B-L;if(j>6||B+1<N&&!isSpaceCharacter(O[B].codePoint))return null;const F=N;return{token:{nodeType:HeadingType,position:{start:calcStartPoint(O,I),end:calcEndPoint(O,F-1)},depth:j,line:R},nextIndex:F,saturated:!0}}function C(R,O){const I=S(R);return I==null?null:{token:I.token,nextIndex:I.nextIndex,remainingSibling:O}}},parse$e=function(S){return{parse:C=>C.map(R=>{const{nodePoints:O,firstNonWhitespaceIndex:I,endIndex:N}=R.line;let[L,B]=calcTrimBoundaryOfCodePoints(O,I+R.depth,N),j=0;for(let X=B-1;X>=L&&O[X].codePoint===AsciiCodePoint.NUMBER_SIGN;--X)j+=1;if(j>0){let X=0,J=B-1-j;for(;J>=L;--J){const oe=O[J].codePoint;if(!isWhitespaceCharacter(oe))break;X+=1}(X>0||J<L)&&(B-=j+X)}const V=mergeAndStripContentLines([{nodePoints:O,startIndex:L,endIndex:B,firstNonWhitespaceIndex:L,countOfPrecedeSpaces:0}]),K=S.processInlines(V);return S.shouldReservePosition?{type:HeadingType,position:R.position,depth:R.depth,children:K}:{type:HeadingType,depth:R.depth,children:K}})}},uniqueName$d="@yozora/tokenizer-heading";class HeadingTokenizer extends BaseBlockTokenizer{constructor(R={}){super({name:R.name??uniqueName$d,priority:R.priority??TokenizerPriority.ATOMIC});Cn(this,"match",match$g);Cn(this,"parse",parse$e)}}function eatHTMLAttribute(S,C,R){let O=eatOptionalWhitespaces(S,C,R);if(O<=C||O>=R)return null;const I=O;let N=S[O].codePoint;if(!isAsciiLetter(N)&&N!==AsciiCodePoint.UNDERSCORE&&N!==AsciiCodePoint.COLON)return null;for(O=I+1;O<R&&(N=S[O].codePoint,!!(isAsciiLetter(N)||isAsciiDigitCharacter(N)||N===AsciiCodePoint.UNDERSCORE||N===AsciiCodePoint.DOT||N===AsciiCodePoint.COLON||N===AsciiCodePoint.MINUS_SIGN));++O);const L=O,B={name:{startIndex:I,endIndex:L}};if(O=eatOptionalWhitespaces(S,L,R),O<R&&S[O].codePoint===AsciiCodePoint.EQUALS_SIGN&&(O=eatOptionalWhitespaces(S,O+1,R),O<R)){switch(S[O].codePoint){case AsciiCodePoint.DOUBLE_QUOTE:{const F=O+1;for(O=F;O<R&&(N=S[O].codePoint,N!==AsciiCodePoint.DOUBLE_QUOTE);++O);const V=O;O<R&&S[O].codePoint===AsciiCodePoint.DOUBLE_QUOTE&&(B.value={startIndex:F,endIndex:V},O+=1);break}case AsciiCodePoint.SINGLE_QUOTE:{const F=O+1;for(O=F;O<R&&(N=S[O].codePoint,N!==AsciiCodePoint.SINGLE_QUOTE);++O);const V=O;O<R&&S[O].codePoint===AsciiCodePoint.SINGLE_QUOTE&&(B.value={startIndex:F,endIndex:V},O+=1);break}default:{const F=O;for(;O<R&&(N=S[O].codePoint,!(isWhitespaceCharacter(N)||N===AsciiCodePoint.DOUBLE_QUOTE||N===AsciiCodePoint.SINGLE_QUOTE||N===AsciiCodePoint.EQUALS_SIGN||N===AsciiCodePoint.OPEN_ANGLE||N===AsciiCodePoint.CLOSE_ANGLE||N===AsciiCodePoint.BACKTICK));++O);const V=O;V>F&&(B.value={startIndex:F,endIndex:V});break}}if(B.value!=null)return{attribute:B,nextIndex:O}}return{attribute:B,nextIndex:L}}function eatHTMLTagName(S,C,R){if(C>=R||!isAsciiLetter(S[C].codePoint))return null;let O=C;for(;O<R;++O){const I=S[O].codePoint;if(!(isAsciiLetter(I)||isAsciiDigitCharacter(I)||I===AsciiCodePoint.MINUS_SIGN))return O}return O}const includedTags$1=["pre","script","style"];function eatStartCondition1(S,C,R,O){if(!includedTags$1.includes(O))return null;if(C>=R)return R;const I=S[C].codePoint;return isWhitespaceCharacter(I)||I===AsciiCodePoint.CLOSE_ANGLE?C+1:null}function eatEndCondition1(S,C,R){for(let O=C;O<R;++O)if(S[O].codePoint===AsciiCodePoint.OPEN_ANGLE&&O+3<R&&S[O+1].codePoint===AsciiCodePoint.SLASH){const I=O+2,N=eatHTMLTagName(S,I,R);if(N==null||N>=R||S[N].codePoint!==AsciiCodePoint.CLOSE_ANGLE){O+=1;continue}const B=calcStringFromNodePoints(S,I,N,!0).toLowerCase();if(includedTags$1.includes(B))return N}return null}function eatStartCondition2(S,C,R){const O=C;return O+2<R&&S[O].codePoint===AsciiCodePoint.EXCLAMATION_MARK&&S[O+1].codePoint===AsciiCodePoint.MINUS_SIGN&&S[O+2].codePoint===AsciiCodePoint.MINUS_SIGN?O+3:null}function eatEndCondition2(S,C,R){for(let O=C;O<R;++O)if(S[O].codePoint===AsciiCodePoint.MINUS_SIGN&&O+2<R&&S[O+1].codePoint===AsciiCodePoint.MINUS_SIGN&&S[O+2].codePoint===AsciiCodePoint.CLOSE_ANGLE)return O+3;return null}function eatStartCondition3(S,C,R){const O=C;return O<R&&S[O].codePoint===AsciiCodePoint.QUESTION_MARK?O+1:null}function eatEndCondition3(S,C,R){for(let O=C;O<R;++O)if(S[O].codePoint===AsciiCodePoint.QUESTION_MARK&&O+1<R&&S[O+1].codePoint===AsciiCodePoint.CLOSE_ANGLE)return O+2;return null}function eatStartCondition4(S,C,R){const O=C;return O+1<R&&S[O].codePoint===AsciiCodePoint.EXCLAMATION_MARK&&isAsciiUpperLetter(S[O+1].codePoint)?O+2:null}function eatEndCondition4(S,C,R){for(let O=C;O<R;++O)if(S[O].codePoint===AsciiCodePoint.CLOSE_ANGLE)return O+1;return null}function eatStartCondition5(S,C,R){const O=C;return O+6<R&&S[O].codePoint===AsciiCodePoint.EXCLAMATION_MARK&&S[O+1].codePoint===AsciiCodePoint.OPEN_BRACKET&&S[O+2].codePoint===AsciiCodePoint.UPPERCASE_C&&S[O+3].codePoint===AsciiCodePoint.UPPERCASE_D&&S[O+4].codePoint===AsciiCodePoint.UPPERCASE_A&&S[O+5].codePoint===AsciiCodePoint.UPPERCASE_T&&S[O+6].codePoint===AsciiCodePoint.UPPERCASE_A?O+7:null}function eatEndCondition5(S,C,R){for(let O=C;O<R;++O)if(S[O].codePoint===AsciiCodePoint.CLOSE_BRACKET&&O+2<R&&S[O+1].codePoint===AsciiCodePoint.CLOSE_BRACKET&&S[O+2].codePoint===AsciiCodePoint.CLOSE_ANGLE)return O+3;return null}const includedTags=["address","article","aside","base","basefont","blockquote","body","caption","center","col","colgroup","dd","details","dialog","dir","div","dl","dt","fieldset","figcaption","figure","footer","form","frame","frameset","h1","h2","h3","h4","h5","h6","head","header","hr","html","iframe","legend","li","link","main","menu","menuitem","nav","noframes","ol","optgroup","option","p","param","section","source","summary","table","tbody","td","tfoot","th","thead","title","tr","track","ul"];function eatStartCondition6(S,C,R,O){if(!includedTags.includes(O))return null;if(C>=R)return R;const I=S[C].codePoint;return isWhitespaceCharacter(I)||I===AsciiCodePoint.CLOSE_ANGLE?C+1:I===AsciiCodePoint.SLASH&&C+1<R&&S[C+1].codePoint===AsciiCodePoint.CLOSE_ANGLE?C+2:null}const excludedTags=["pre","script","style"];function eatStartCondition7(S,C,R,O,I){if(excludedTags.includes(O)||C>=R)return null;let N=C;if(I){for(;N<R;){const L=eatHTMLAttribute(S,N,R);if(L==null)break;N=L.nextIndex}if(N=eatOptionalWhitespaces(S,N,R),N>=R)return null;S[N].codePoint===AsciiCodePoint.SLASH&&(N+=1)}else N=eatOptionalWhitespaces(S,C,R);if(N>=R||S[N].codePoint!==AsciiCodePoint.CLOSE_ANGLE)return null;for(N+=1;N<R;++N)if(!isWhitespaceCharacter(S[N].codePoint))return null;return R}const match$f=function(){return{isContainingBlock:!1,eatOpener:S,eatAndInterruptPreviousSibling:C,eatContinuationText:R};function S(N){if(N.countOfPrecedeSpaces>=4)return null;const{nodePoints:L,startIndex:B,endIndex:j,firstNonWhitespaceIndex:F}=N;if(F>=j||L[F].codePoint!==AsciiCodePoint.OPEN_ANGLE)return null;const V=F+1,K=O(L,V,j);if(K==null)return null;const{condition:W}=K;let X=!1;W!==6&&W!==7&&I(L,K.nextIndex,j,W)!=null&&(X=!0);const J=j;return{token:{nodeType:HtmlType,position:{start:calcStartPoint(L,B),end:calcEndPoint(L,J-1)},condition:W,lines:[N]},nextIndex:J,saturated:X}}function C(N,L){const B=S(N);if(B==null||B.token.condition===7)return null;const{token:j,nextIndex:F}=B;return{token:j,nextIndex:F,remainingSibling:L}}function R(N,L){const{nodePoints:B,endIndex:j,firstNonWhitespaceIndex:F}=N,V=I(B,F,j,L.condition);return V===-1?{status:"notMatched"}:(L.lines.push(N),V!=null?{status:"closing",nextIndex:j}:{status:"opening",nextIndex:j})}function O(N,L,B){let j=null;if(L>=B)return null;if(j=eatStartCondition2(N,L,B),j!=null)return{nextIndex:j,condition:2};if(j=eatStartCondition3(N,L,B),j!=null)return{nextIndex:j,condition:3};if(j=eatStartCondition4(N,L,B),j!=null)return{nextIndex:j,condition:4};if(j=eatStartCondition5(N,L,B),j!=null)return{nextIndex:j,condition:5};if(N[L].codePoint!==AsciiCodePoint.SLASH){const J=L,oe=eatHTMLTagName(N,J,B);if(oe==null)return null;const pe={startIndex:J,endIndex:oe},xe=calcStringFromNodePoints(N,pe.startIndex,pe.endIndex).toLowerCase();return j=eatStartCondition1(N,pe.endIndex,B,xe),j!=null?{nextIndex:j,condition:1}:(j=eatStartCondition6(N,pe.endIndex,B,xe),j!=null?{nextIndex:j,condition:6}:(j=eatStartCondition7(N,pe.endIndex,B,xe,!0),j!=null?{nextIndex:j,condition:7}:null))}const F=L+1,V=eatHTMLTagName(N,F,B);if(V==null)return null;const K={startIndex:F,endIndex:V},X=calcStringFromNodePoints(N,K.startIndex,K.endIndex).toLowerCase();return j=eatStartCondition6(N,K.endIndex,B,X),j!=null?{nextIndex:j,condition:6}:(j=eatStartCondition7(N,K.endIndex,B,X,!1),j!=null?{nextIndex:j,condition:7}:null)}function I(N,L,B,j){switch(j){case 1:return eatEndCondition1(N,L,B)==null?null:B;case 2:return eatEndCondition2(N,L,B)==null?null:B;case 3:return eatEndCondition3(N,L,B)==null?null:B;case 4:return eatEndCondition4(N,L,B)==null?null:B;case 5:return eatEndCondition5(N,L,B)==null?null:B;case 6:case 7:return eatOptionalWhitespaces(N,L,B)>=B?-1:null}}},parse$d=function(S){return{parse:C=>C.map(R=>{const O=mergeContentLinesFaithfully(R.lines);return S.shouldReservePosition?{type:"html",position:R.position,value:calcStringFromNodePoints(O)}:{type:"html",value:calcStringFromNodePoints(O)}})}},uniqueName$c="@yozora/tokenizer-html-block";class HtmlBlockTokenizer extends BaseBlockTokenizer{constructor(R={}){super({name:R.name??uniqueName$c,priority:R.priority??TokenizerPriority.ATOMIC});Cn(this,"match",match$f);Cn(this,"parse",parse$d)}}function eatHtmlInlineCDataDelimiter(S,C,R){let O=C;if(O+11>=R||S[O+1].codePoint!==AsciiCodePoint.EXCLAMATION_MARK||S[O+2].codePoint!==AsciiCodePoint.OPEN_BRACKET||S[O+3].codePoint!==AsciiCodePoint.UPPERCASE_C||S[O+4].codePoint!==AsciiCodePoint.UPPERCASE_D||S[O+5].codePoint!==AsciiCodePoint.UPPERCASE_A||S[O+6].codePoint!==AsciiCodePoint.UPPERCASE_T||S[O+7].codePoint!==AsciiCodePoint.UPPERCASE_A||S[O+8].codePoint!==AsciiCodePoint.OPEN_BRACKET)return null;const I=O+9;for(O=I;O<R;++O)if(S[O].codePoint===AsciiCodePoint.CLOSE_BRACKET){if(O+2>=R)return null;if(S[O+1].codePoint===AsciiCodePoint.CLOSE_BRACKET&&S[O+2].codePoint===AsciiCodePoint.CLOSE_ANGLE)return{type:"full",startIndex:C,endIndex:O+3,htmlType:"cdata"}}return null}function eatHtmlInlineClosingDelimiter(S,C,R){let O=C;if(O+3>=R||S[O+1].codePoint!==AsciiCodePoint.SLASH)return null;const I=O+2,N=eatHTMLTagName(S,I,R);return N==null||(O=eatOptionalWhitespaces(S,N,R),O>=R||S[O].codePoint!==AsciiCodePoint.CLOSE_ANGLE)?null:{type:"full",startIndex:C,endIndex:O+1,htmlType:"closing",tagName:{startIndex:I,endIndex:N}}}function eatHtmlInlineCommentDelimiter(S,C,R){let O=C;if(O+6>=R||S[O+1].codePoint!==AsciiCodePoint.EXCLAMATION_MARK||S[O+2].codePoint!==AsciiCodePoint.MINUS_SIGN||S[O+3].codePoint!==AsciiCodePoint.MINUS_SIGN||S[O+4].codePoint===AsciiCodePoint.CLOSE_ANGLE||S[O+4].codePoint===AsciiCodePoint.MINUS_SIGN&&S[O+5].codePoint===AsciiCodePoint.CLOSE_ANGLE)return null;const I=O+4;for(O=I;O<R;++O){if(S[O].codePoint!==AsciiCodePoint.MINUS_SIGN)continue;let L=1;for(;O+L<R&&S[O+L].codePoint===AsciiCodePoint.MINUS_SIGN;L+=1);if(L<2)continue;return L>2||O+2>=R||S[O+2].codePoint!==AsciiCodePoint.CLOSE_ANGLE?null:{type:"full",startIndex:C,endIndex:O+3,htmlType:"comment"}}return null}function eatHtmlInlineDeclarationDelimiter(S,C,R){let O=C;if(O+4>=R||S[O+1].codePoint!==AsciiCodePoint.EXCLAMATION_MARK)return null;const I=O+2;for(O=I;O<R;++O){const B=S[O];if(!isAsciiUpperLetter(B.codePoint))break}if(O-I<=0||O+1>=R||!isWhitespaceCharacter(S[O].codePoint))return null;const N=O,L=O+1;for(O=L;O<R;++O)if(S[O].codePoint===AsciiCodePoint.CLOSE_ANGLE)return{type:"full",startIndex:C,endIndex:O+1,htmlType:"declaration",tagName:{startIndex:I,endIndex:N}};return null}function eatHtmlInlineInstructionDelimiter(S,C,R){let O=C;if(O+3>=R||S[O+1].codePoint!==AsciiCodePoint.QUESTION_MARK)return null;const I=O+2;for(O=I;O<R;++O)if(S[O].codePoint===AsciiCodePoint.QUESTION_MARK){if(O+1>=R)return null;if(S[O+1].codePoint===AsciiCodePoint.CLOSE_ANGLE)return{type:"full",startIndex:C,endIndex:O+2,htmlType:"instruction"}}return null}function eatHtmlInlineTokenOpenDelimiter(S,C,R){let O=C;if(O+2>=R)return null;const I=O+1,N=eatHTMLTagName(S,I,R);if(N==null)return null;const L=[];for(O=N;O<R;){const F=eatHTMLAttribute(S,O,R);if(F==null)break;L.push(F.attribute),O=F.nextIndex}if(O=eatOptionalWhitespaces(S,O,R),O>=R)return null;let B=!1;return S[O].codePoint===AsciiCodePoint.SLASH&&(O+=1,B=!0),O>=R||S[O].codePoint!==AsciiCodePoint.CLOSE_ANGLE?null:{type:"full",startIndex:C,endIndex:O+1,htmlType:"open",tagName:{startIndex:I,endIndex:N},attributes:L,selfClosed:B}}const match$e=function(S){return{findDelimiter:()=>genFindDelimiter(C),processSingleDelimiter:R};function C(O,I){const N=S.getNodePoints();for(let L=O;L<I&&(L=eatOptionalWhitespaces(N,L,I),!(L>=I));++L)switch(N[L].codePoint){case AsciiCodePoint.BACKSLASH:L+=1;break;case AsciiCodePoint.OPEN_ANGLE:{const j=tryToEatDelimiter(N,L,I);if(j!=null)return j;break}}return null}function R(O){return[{...O,nodeType:HtmlType}]}};function tryToEatDelimiter(S,C,R){let O=null;return O=eatHtmlInlineTokenOpenDelimiter(S,C,R),O!=null||(O=eatHtmlInlineClosingDelimiter(S,C,R),O!=null)||(O=eatHtmlInlineCommentDelimiter(S,C,R),O!=null)||(O=eatHtmlInlineInstructionDelimiter(S,C,R),O!=null)||(O=eatHtmlInlineDeclarationDelimiter(S,C,R),O!=null)||(O=eatHtmlInlineCDataDelimiter(S,C,R)),O}const parse$c=function(S){return{parse:C=>C.map(R=>{const{startIndex:O,endIndex:I}=R,N=S.getNodePoints(),L=calcStringFromNodePoints(N,O,I);return S.shouldReservePosition?{type:HtmlType,position:S.calcPosition(R),value:L}:{type:HtmlType,value:L}})}},uniqueName$b="@yozora/tokenizer-html-inline";class HtmlInlineTokenizer extends BaseInlineTokenizer{constructor(R={}){super({name:R.name??uniqueName$b,priority:R.priority??TokenizerPriority.ATOMIC});Cn(this,"match",match$e);Cn(this,"parse",parse$c)}}const checkBalancedBracketsStatus=(S,C,R,O)=>{let I=S,N=0;const L=()=>{switch(O[I].codePoint){case AsciiCodePoint.BACKSLASH:I+=1;break;case AsciiCodePoint.OPEN_BRACKET:N+=1;break;case AsciiCodePoint.CLOSE_BRACKET:N-=1;break}};for(const B of R)if(!(B.startIndex<S)){if(B.endIndex>C)break;for(;I<B.startIndex;++I)if(L(),N<0)return-1;I=B.endIndex}for(;I<C;++I)if(L(),N<0)return-1;return N>0?1:0};function eatLinkDestination(S,C,R){if(C>=R)return-1;let O=C;switch(S[O].codePoint){case AsciiCodePoint.OPEN_ANGLE:{for(O+=1;O<R;++O)switch(S[O].codePoint){case AsciiCodePoint.BACKSLASH:O+=1;break;case AsciiCodePoint.OPEN_ANGLE:case VirtualCodePoint.LINE_END:return-1;case AsciiCodePoint.CLOSE_ANGLE:return O+1}return-1}default:{let I=0;for(;O<R;++O){const N=S[O].codePoint;switch(N){case AsciiCodePoint.BACKSLASH:O+=1;break;case AsciiCodePoint.OPEN_PARENTHESIS:I+=1;break;case AsciiCodePoint.CLOSE_PARENTHESIS:if(I-=1,I<0)return O;break;default:if(isWhitespaceCharacter(N)||isAsciiControlCharacter(N))return O;break}}return I===0?O:-1}}}function eatLinkTitle(S,C,R){if(C>=R)return-1;let O=C;const I=S[O].codePoint;switch(I){case AsciiCodePoint.DOUBLE_QUOTE:case AsciiCodePoint.SINGLE_QUOTE:{for(O+=1;O<R;++O){const N=S[O];switch(N.codePoint){case AsciiCodePoint.BACKSLASH:O+=1;break;case I:return O+1;case VirtualCodePoint.LINE_END:{const L=eatOptionalBlankLines(S,C,O);if(S[L].line>N.line+1)return-1;break}}}break}case AsciiCodePoint.OPEN_PARENTHESIS:{let N=1;for(O+=1;O<R;++O){const L=S[O];switch(L.codePoint){case AsciiCodePoint.BACKSLASH:O+=1;break;case VirtualCodePoint.LINE_END:{const B=eatOptionalBlankLines(S,C,O);if(S[B].line>L.line+1)return-1;break}case AsciiCodePoint.OPEN_PARENTHESIS:N+=1;break;case AsciiCodePoint.CLOSE_PARENTHESIS:if(N-=1,N===0)return O+1;break}}break}case AsciiCodePoint.CLOSE_PARENTHESIS:return O;default:return-1}return-1}const match$d=function(S){return{findDelimiter:()=>genFindDelimiter(C),isDelimiterPair:R,processDelimiterPair:O};function C(I,N){const L=S.getNodePoints(),B=S.getBlockEndIndex();for(let j=I;j<N;++j)switch(L[j].codePoint){case AsciiCodePoint.BACKSLASH:j+=1;break;case AsciiCodePoint.OPEN_BRACKET:return{type:"opener",startIndex:j,endIndex:j+1};case AsciiCodePoint.CLOSE_BRACKET:{if(j+1>=N||L[j+1].codePoint!==AsciiCodePoint.OPEN_PARENTHESIS)break;const V=eatOptionalWhitespaces(L,j+2,B),K=eatLinkDestination(L,V,B);if(K<0)break;const W=eatOptionalWhitespaces(L,K,B),X=eatLinkTitle(L,W,B);if(X<0)break;const J=j,oe=eatOptionalWhitespaces(L,X,B)+1;if(oe>B||L[oe-1].codePoint!==AsciiCodePoint.CLOSE_PARENTHESIS)break;return{type:"closer",startIndex:J,endIndex:oe,destinationContent:V<K?{startIndex:V,endIndex:K}:void 0,titleContent:W<X?{startIndex:W,endIndex:X}:void 0}}}return null}function R(I,N,L){const B=S.getNodePoints();if(L.find(isLinkToken)!=null)return{paired:!1,opener:!1,closer:!1};switch(checkBalancedBracketsStatus(I.endIndex,N.startIndex,L,B)){case-1:return{paired:!1,opener:!1,closer:!0};case 0:return{paired:!0};case 1:return{paired:!1,opener:!0,closer:!1}}}function O(I,N,L){const B=S.resolveInternalTokens(L,I.endIndex,N.startIndex);return{tokens:[{nodeType:LinkType,startIndex:I.startIndex,endIndex:N.endIndex,destinationContent:N.destinationContent,titleContent:N.titleContent,children:B}]}}},parse$b=function(S){return{parse:C=>C.map(R=>{const O=S.getNodePoints();let I="";if(R.destinationContent!=null){let{startIndex:j,endIndex:F}=R.destinationContent;O[j].codePoint===AsciiCodePoint.OPEN_ANGLE&&(j+=1,F-=1);const V=calcEscapedStringFromNodePoints(O,j,F,!0);I=S.formatUrl(V)}let N;if(R.titleContent!=null){const{startIndex:j,endIndex:F}=R.titleContent;N=calcEscapedStringFromNodePoints(O,j+1,F-1)}const L=S.parseInlineTokens(R.children);return S.shouldReservePosition?{type:LinkType,position:S.calcPosition(R),url:I,title:N,children:L}:{type:LinkType,url:I,title:N,children:L}})}},uniqueName$a="@yozora/tokenizer-link";class LinkTokenizer extends BaseInlineTokenizer{constructor(R={}){super({name:R.name??uniqueName$a,priority:R.priority??TokenizerPriority.LINKS});Cn(this,"match",match$d);Cn(this,"parse",parse$b)}}function calcImageAlt(S){return S.map(C=>C.value!=null?C.value:C.alt!=null?C.alt:C.children!=null?calcImageAlt(C.children):"").join("")}const match$c=function(S){return{findDelimiter:()=>genFindDelimiter(C),isDelimiterPair:R,processDelimiterPair:O};function C(I,N){const L=S.getNodePoints(),B=S.getBlockEndIndex();for(let j=I;j<N;++j)switch(L[j].codePoint){case AsciiCodePoint.BACKSLASH:j+=1;break;case AsciiCodePoint.EXCLAMATION_MARK:{if(j+1<N&&L[j+1].codePoint===AsciiCodePoint.OPEN_BRACKET)return{type:"opener",startIndex:j,endIndex:j+2};break}case AsciiCodePoint.CLOSE_BRACKET:{if(j+1>=N||L[j+1].codePoint!==AsciiCodePoint.OPEN_PARENTHESIS)break;const V=eatOptionalWhitespaces(L,j+2,B),K=eatLinkDestination(L,V,B);if(K<0)break;const W=eatOptionalWhitespaces(L,K,B),X=eatLinkTitle(L,W,B);if(X<0)break;const J=j,oe=eatOptionalWhitespaces(L,X,B)+1;if(oe>B||L[oe-1].codePoint!==AsciiCodePoint.CLOSE_PARENTHESIS)break;return{type:"closer",startIndex:J,endIndex:oe,destinationContent:V<K?{startIndex:V,endIndex:K}:void 0,titleContent:W<X?{startIndex:W,endIndex:X}:void 0}}}return null}function R(I,N,L){const B=S.getNodePoints();switch(checkBalancedBracketsStatus(I.endIndex,N.startIndex,L,B)){case-1:return{paired:!1,opener:!1,closer:!0};case 0:return{paired:!0};case 1:return{paired:!1,opener:!0,closer:!1}}}function O(I,N,L){return{tokens:[{nodeType:ImageType$1,startIndex:I.startIndex,endIndex:N.endIndex,destinationContent:N.destinationContent,titleContent:N.titleContent,children:S.resolveInternalTokens(L,I.endIndex,N.startIndex)}]}}},parse$a=function(S){return{parse:C=>C.map(R=>{const O=S.getNodePoints();let I="";if(R.destinationContent!=null){let{startIndex:F,endIndex:V}=R.destinationContent;O[F].codePoint===AsciiCodePoint.OPEN_ANGLE&&(F+=1,V-=1);const K=calcEscapedStringFromNodePoints(O,F,V,!0);I=S.formatUrl(K)}const N=S.parseInlineTokens(R.children),L=calcImageAlt(N);let B;if(R.titleContent!=null){const{startIndex:F,endIndex:V}=R.titleContent;B=calcEscapedStringFromNodePoints(O,F+1,V-1)}return S.shouldReservePosition?{type:ImageType$1,position:S.calcPosition(R),url:I,alt:L,title:B}:{type:ImageType$1,url:I,alt:L,title:B}})}},uniqueName$9="@yozora/tokenizer-image";class ImageTokenizer extends BaseInlineTokenizer{constructor(R={}){super({name:R.name??uniqueName$9,priority:R.priority??TokenizerPriority.LINKS});Cn(this,"match",match$c);Cn(this,"parse",parse$a)}}const match$b=function(S){return{findDelimiter:()=>genFindDelimiter(C),isDelimiterPair:R,processDelimiterPair:O};function C(I,N){const L=S.getNodePoints();for(let B=I;B<N;++B)switch(L[B].codePoint){case AsciiCodePoint.BACKSLASH:B+=1;break;case AsciiCodePoint.EXCLAMATION_MARK:{if(B+1>=N||L[B+1].codePoint!==AsciiCodePoint.OPEN_BRACKET)break;return{type:"opener",startIndex:B,endIndex:B+2,brackets:[]}}case AsciiCodePoint.CLOSE_BRACKET:{const F={type:"closer",startIndex:B,endIndex:B+1,brackets:[]};if(B+1>=N||L[B+1].codePoint!==AsciiCodePoint.OPEN_BRACKET)return F;const V=eatLinkLabel(L,B+1,N);return V.nextIndex<0?F:V.labelAndIdentifier==null?{type:"closer",startIndex:B,endIndex:V.nextIndex,brackets:[{startIndex:B+1,endIndex:V.nextIndex}]}:{type:"closer",startIndex:B,endIndex:V.nextIndex,brackets:[{startIndex:B+1,endIndex:V.nextIndex,label:V.labelAndIdentifier.label,identifier:V.labelAndIdentifier.identifier}]}}}return null}function R(I,N,L){const B=S.getNodePoints();switch(checkBalancedBracketsStatus(I.endIndex,N.startIndex,L,B)){case-1:return{paired:!1,opener:!1,closer:!0};case 0:return{paired:!0};case 1:return{paired:!1,opener:!0,closer:!1}}}function O(I,N,L){const B=S.getNodePoints(),j=N.brackets[0];if(j!=null&&j.identifier!=null)return S.hasDefinition(j.identifier)?{tokens:[{nodeType:ImageReferenceType,startIndex:I.startIndex,endIndex:j.endIndex,referenceType:"full",label:j.label,identifier:j.identifier,children:S.resolveInternalTokens(L,I.endIndex,N.startIndex)}]}:{tokens:L};const{nextIndex:F,labelAndIdentifier:V}=eatLinkLabel(B,I.endIndex-1,N.startIndex+1);return F===N.startIndex+1&&V!=null&&S.hasDefinition(V.identifier)?{tokens:[{nodeType:ImageReferenceType,startIndex:I.startIndex,endIndex:N.endIndex,referenceType:j==null?"shortcut":"collapsed",label:V.label,identifier:V.identifier,children:S.resolveInternalTokens(L,I.endIndex,N.startIndex)}]}:{tokens:L}}},parse$9=function(S){return{parse:C=>C.map(R=>{const{identifier:O,label:I,referenceType:N}=R,L=S.parseInlineTokens(R.children),B=calcImageAlt(L);return S.shouldReservePosition?{type:ImageReferenceType,position:S.calcPosition(R),identifier:O,label:I,referenceType:N,alt:B}:{type:ImageReferenceType,identifier:O,label:I,referenceType:N,alt:B}})}},uniqueName$8="@yozora/tokenizer-image-reference";class ImageReferenceTokenizer extends BaseInlineTokenizer{constructor(R={}){super({name:R.name??uniqueName$8,priority:R.priority??TokenizerPriority.LINKS});Cn(this,"match",match$b);Cn(this,"parse",parse$9)}}const match$a=function(){return{isContainingBlock:!1,eatOpener:S,eatContinuationText:C};function S(R){if(R.countOfPrecedeSpaces<4)return null;const{nodePoints:O,startIndex:I,firstNonWhitespaceIndex:N,endIndex:L}=R;let B=I+4;if(O[I].codePoint===AsciiCodePoint.SPACE&&O[I+3].codePoint===VirtualCodePoint.SPACE){let V=I+1;for(;V<N&&O[V].codePoint!==VirtualCodePoint.SPACE;++V);B=V+4}const j=L;return{token:{nodeType:CodeType,position:{start:calcStartPoint(O,I),end:calcEndPoint(O,j-1)},lines:[{nodePoints:O,startIndex:B,endIndex:L,firstNonWhitespaceIndex:N,countOfPrecedeSpaces:R.countOfPrecedeSpaces-(B-I)}]},nextIndex:j}}function C(R,O){const{nodePoints:I,startIndex:N,endIndex:L,firstNonWhitespaceIndex:B,countOfPrecedeSpaces:j}=R;if(j<4&&B<L)return{status:"notMatched"};const F=Math.min(L-1,N+4);return O.lines.push({nodePoints:I,startIndex:F,endIndex:L,firstNonWhitespaceIndex:B,countOfPrecedeSpaces:j-(F-N)}),{status:"opening",nextIndex:L}}},parse$8=function(S){return{parse:C=>C.map(R=>{const{lines:O}=R;let I=0,N=O.length;for(;I<N;++I){const F=O[I];if(F.firstNonWhitespaceIndex<F.endIndex)break}for(;I<N;--N){const F=O[N-1];if(F.firstNonWhitespaceIndex<F.endIndex)break}const L=mergeContentLinesFaithfully(O,I,N);let B=calcStringFromNodePoints(L);return/\n$/.test(B)||(B+=`
-`),S.shouldReservePosition?{type:CodeType,position:R.position,lang:null,meta:null,value:B}:{type:CodeType,lang:null,meta:null,value:B}})}},uniqueName$7="@yozora/tokenizer-indented-code";class IndentedCodeTokenizer extends BaseBlockTokenizer{constructor(R={}){super({name:R.name??uniqueName$7,priority:R.priority??TokenizerPriority.ATOMIC});Cn(this,"match",match$a);Cn(this,"parse",parse$8)}}const match$9=function(S){return{findDelimiter:C,processSingleDelimiter:R};function*C(){const O=S.getNodePoints(),I=S.getBlockStartIndex(),N=S.getBlockEndIndex(),L=[];for(let V=I;V<N;++V){const K=O[V].codePoint;switch(K){case AsciiCodePoint.BACKSLASH:{if(V+=1,V<N&&O[V].codePoint===AsciiCodePoint.BACKTICK){const W=eatOptionalCharacters(O,V+1,N,AsciiCodePoint.BACKTICK);L.push({type:"closer",startIndex:V,endIndex:W}),W>V+1&&L.push({type:"opener",startIndex:V+1,endIndex:W}),V=W-1}break}case AsciiCodePoint.BACKTICK:{const W=V,X=eatOptionalCharacters(O,V+1,N,K);L.push({type:"both",startIndex:W,endIndex:X}),V=X-1;break}}}let B=0,j=-1,F=null;for(;B<L.length;){const[V,K]=yield F;if(j===K&&(F==null||F.startIndex>=V))continue;j=K;let W=null,X=null;for(;B<L.length;++B){for(;B<L.length;++B){const oe=L[B];if(oe.startIndex>=V&&oe.type!=="closer")break}if(B+1>=L.length)return;W=L[B];const J=W.endIndex-W.startIndex;for(let oe=B+1;oe<L.length;++oe){const pe=L[oe];if(pe.type!=="opener"&&pe.endIndex-pe.startIndex===J){X=pe;break}}if(X!=null)break}if(X==null)return;F={type:"full",startIndex:W.startIndex,endIndex:X.endIndex,thickness:X.endIndex-X.startIndex}}}function R(O){return[{nodeType:InlineCodeType,startIndex:O.startIndex,endIndex:O.endIndex,thickness:O.thickness}]}},parse$7=function(S){return{parse:C=>C.map(R=>{const O=S.getNodePoints();let I=R.startIndex+R.thickness,N=R.endIndex-R.thickness,L=!0;for(let F=I;F<N;++F)if(!isSpaceLike(O[F].codePoint)){L=!1;break}if(!L&&I+2<N){const F=O[I].codePoint,V=O[N-1].codePoint;isSpaceLike(F)&&isSpaceLike(V)&&(I+=1,N-=1)}const B=calcStringFromNodePoints(O,I,N).replace(/\n/g," ");return S.shouldReservePosition?{type:InlineCodeType,position:S.calcPosition(R),value:B}:{type:InlineCodeType,value:B}})}},uniqueName$6="@yozora/tokenizer-inline-code";class InlineCodeTokenizer extends BaseInlineTokenizer{constructor(R={}){super({name:R.name??uniqueName$6,priority:R.priority??TokenizerPriority.ATOMIC});Cn(this,"match",match$9);Cn(this,"parse",parse$7)}}const match$8=function(S){return{findDelimiter:()=>genFindDelimiter(C),isDelimiterPair:R,processDelimiterPair:O,processSingleDelimiter:I};function C(N,L){const B=S.getNodePoints();for(let j=N;j<L;++j)switch(B[j].codePoint){case AsciiCodePoint.BACKSLASH:j+=1;break;case AsciiCodePoint.OPEN_BRACKET:{const V=[],K={type:"opener",startIndex:j,endIndex:j+1,brackets:V},W=eatLinkLabel(B,j,L);if(W.nextIndex<0)return K;if(W.labelAndIdentifier==null){j=W.nextIndex-1;break}for(V.push({startIndex:j,endIndex:W.nextIndex,label:W.labelAndIdentifier.label,identifier:W.labelAndIdentifier.identifier}),j=W.nextIndex;j<L&&B[j].codePoint===AsciiCodePoint.OPEN_BRACKET;){const{labelAndIdentifier:X,nextIndex:J}=eatLinkLabel(B,j,L);if(J===-1)return K.type="opener",K.endIndex=j+1,K;const oe={startIndex:j,endIndex:J};if(K.type="full",K.endIndex=J,V.push(oe),X==null)break;oe.label=X.label,oe.identifier=X.identifier,j=J}return K}case AsciiCodePoint.CLOSE_BRACKET:{if(j+1>=L||B[j+1].codePoint!==AsciiCodePoint.OPEN_BRACKET)break;const V=eatLinkLabel(B,j+1,L);if(V.nextIndex===-1)return{type:"opener",startIndex:j+1,endIndex:j+2,brackets:[]};if(V.labelAndIdentifier==null){j=V.nextIndex-1;break}const K=[{startIndex:j+1,endIndex:V.nextIndex,label:V.labelAndIdentifier.label,identifier:V.labelAndIdentifier.identifier}],W={type:"closer",startIndex:j,endIndex:V.nextIndex,brackets:K};for(j=V.nextIndex;j<L&&B[j].codePoint===AsciiCodePoint.OPEN_BRACKET;){const{labelAndIdentifier:X,nextIndex:J}=eatLinkLabel(B,j,L);if(J===-1)return W.type="both",W.endIndex=j+1,W;const oe={startIndex:j,endIndex:J};if(W.type="full",W.endIndex=J,K.push(oe),X==null)break;oe.label=X.label,oe.identifier=X.identifier,j=J}return W}}return null}function R(N,L,B){if(B.find(isLinkToken)!=null)return{paired:!1,opener:!1,closer:!1};const F=S.getNodePoints();switch(checkBalancedBracketsStatus(N.endIndex,L.startIndex,B,F)){case-1:return{paired:!1,opener:!1,closer:!0};case 0:{const K=L.brackets[0];return K==null||K.identifier==null||!S.hasDefinition(K.identifier)?{paired:!1,opener:!1,closer:!1}:{paired:!0}}case 1:return{paired:!1,opener:!0,closer:!1}}}function O(N,L,B){const j=I(N),[F,...V]=L.brackets;return j.push({nodeType:LinkReferenceType,startIndex:N.endIndex-1,endIndex:F.endIndex,referenceType:"full",label:F.label,identifier:F.identifier,children:S.resolveInternalTokens(B,N.endIndex,L.startIndex)}),{tokens:j,remainCloserDelimiter:{type:L.type==="both"?"opener":"full",startIndex:F.endIndex,endIndex:L.endIndex,brackets:V}}}function I(N){const L=[],B=N.brackets;if(B.length<=0)return L;let j=0,F=-1;for(;j<B.length;++j){let V=null;for(;j<B.length&&(V=B[j],!(V.identifier!=null&&S.hasDefinition(V.identifier)));++j);if(V==null||j>=B.length)break;if(F+1<j){const K=B[j-1];L.push({nodeType:LinkReferenceType,startIndex:K.startIndex,endIndex:V.endIndex,referenceType:"full",label:V.label,identifier:V.identifier,children:S.resolveInternalTokens([],K.startIndex+1,K.endIndex-1)}),F=j;continue}if(j+1===B.length){L.push({nodeType:LinkReferenceType,startIndex:V.startIndex,endIndex:V.endIndex,referenceType:"shortcut",label:V.label,identifier:V.identifier,children:S.resolveInternalTokens([],V.startIndex+1,V.endIndex-1)});break}if(j+1<B.length&&B[j+1].identifier==null){const K=B[j+1];L.push({nodeType:LinkReferenceType,startIndex:V.startIndex,endIndex:K.endIndex,referenceType:"collapsed",label:V.label,identifier:V.identifier,children:S.resolveInternalTokens([],V.startIndex+1,V.endIndex-1)});break}}return L}},parse$6=function(S){return{parse:C=>C.map(R=>{const{identifier:O,label:I,referenceType:N}=R,L=S.parseInlineTokens(R.children);return S.shouldReservePosition?{type:LinkReferenceType,position:S.calcPosition(R),identifier:O,label:I,referenceType:N,children:L}:{type:LinkReferenceType,identifier:O,label:I,referenceType:N,children:L}})}},uniqueName$5="@yozora/tokenizer-link-reference";class LinkReferenceTokenizer extends BaseInlineTokenizer{constructor(R={}){super({name:R.name??uniqueName$5,priority:R.priority??TokenizerPriority.LINKS});Cn(this,"match",match$8);Cn(this,"parse",parse$6)}}const match$7=function(){const{emptyItemCouldNotInterruptedTypes:S,enableTaskListItem:C}=this;return{isContainingBlock:!0,eatOpener:R,eatAndInterruptPreviousSibling:O,eatContinuationText:I};function R(N){if(N.countOfPrecedeSpaces>=4)return null;const{nodePoints:L,startIndex:B,endIndex:j,firstNonWhitespaceIndex:F}=N;if(F>=j)return null;let V=!1,K=null,W,X,J=F,oe=L[J].codePoint;if(J+1<j){const we=oe;if(isAsciiDigitCharacter(we)){W="1";let ke=we-AsciiCodePoint.DIGIT0;for(J+=1;J<j&&(oe=L[J].codePoint,!!isAsciiDigitCharacter(oe));++J)ke=ke*10+oe-AsciiCodePoint.DIGIT0;X=ke,W="1"}else isAsciiLowerLetter(we)?(J+=1,oe=L[J].codePoint,X=we-AsciiCodePoint.LOWERCASE_A+1,W="a"):isAsciiUpperLetter(we)&&(J+=1,oe=L[J].codePoint,X=we-AsciiCodePoint.UPPERCASE_A+1,W="A");J>F&&J-F<=9&&(oe===AsciiCodePoint.DOT||oe===AsciiCodePoint.CLOSE_PARENTHESIS)&&(J+=1,V=!0,K=oe)}if(V||(oe===AsciiCodePoint.PLUS_SIGN||oe===AsciiCodePoint.MINUS_SIGN||oe===AsciiCodePoint.ASTERISK)&&(J+=1,K=oe),K==null)return null;let pe=0,me=J;for(me<j&&(oe=L[me].codePoint,oe===VirtualCodePoint.SPACE&&(me+=1));me<j&&(oe=L[me].codePoint,!!isSpaceCharacter(oe));++me)pe+=1;if(pe>4&&(me-=pe-1,pe=1),pe===0&&me<j&&oe!==VirtualCodePoint.LINE_END)return null;const xe=oe===VirtualCodePoint.LINE_END?1:-1;oe===VirtualCodePoint.LINE_END&&(me-=pe-1,pe=1);const Ae=J-B+pe;let ge=null;C&&({status:ge,nextIndex:me}=eatTaskStatus(L,me,j));const Te={nodeType:ListType,position:{start:calcStartPoint(L,B),end:calcEndPoint(L,me-1)},ordered:V,marker:K,orderType:V?W:void 0,order:V?X:void 0,indent:Ae,countOfTopBlankLine:xe,children:[]};return ge!=null&&(Te.status=ge),{token:Te,nextIndex:me}}function O(N,L){const B=R(N);if(B==null)return null;const{token:j,nextIndex:F}=B;return S.includes(L.nodeType)&&(j.indent===N.endIndex-N.startIndex||j.ordered&&j.order!==1)?null:{token:j,nextIndex:F,remainingSibling:L}}function I(N,L){const{startIndex:B,endIndex:j,firstNonWhitespaceIndex:F,countOfPrecedeSpaces:V}=N;if(F<j&&V<L.indent)return{status:"notMatched"};if(F>=j){if(L.countOfTopBlankLine>=0&&(L.countOfTopBlankLine+=1,L.countOfTopBlankLine>1))return{status:"notMatched"}}else L.countOfTopBlankLine=-1;return{status:"opening",nextIndex:Math.min(B+L.indent,j-1)}}};function eatTaskStatus(S,C,R){let O=C;for(;O<R;++O){const L=S[O].codePoint;if(!isSpaceCharacter(L))break}if(O+3>=R||S[O].codePoint!==AsciiCodePoint.OPEN_BRACKET||S[O+2].codePoint!==AsciiCodePoint.CLOSE_BRACKET||!isWhitespaceCharacter(S[O+3].codePoint))return{status:null,nextIndex:C};let I;switch(S[O+1].codePoint){case AsciiCodePoint.SPACE:I=TaskStatus.TODO;break;case AsciiCodePoint.MINUS_SIGN:I=TaskStatus.DOING;break;case AsciiCodePoint.LOWERCASE_X:case AsciiCodePoint.UPPERCASE_X:I=TaskStatus.DONE;break;default:return{status:null,nextIndex:C}}return{status:I,nextIndex:O+4}}const parse$5=function(S){return{parse:C=>{const R=[];let O=[];for(let N=0;N<C.length;++N){const L=C[N];if(O.length<=0||O[0].ordered!==L.ordered||O[0].orderType!==L.orderType||O[0].marker!==L.marker){const B=resolveList(O,S);B&&R.push(B),O=[L];continue}O.push(L)}const I=resolveList(O,S);return I&&R.push(I),R}}},resolveList=(S,C)=>{if(S.length<=0)return null;let R=S.some(N=>{if(N.children==null||N.children.length<=1)return!1;let L=N.children[0].position;for(let B=1;B<N.children.length;++B){const j=N.children[B].position;if(L.end.line+1<j.start.line)return!0;L=j}return!1});if(!R&&S.length>1){let N=S[0];for(let L=1;L<S.length;++L){const B=S[L];if(N.position.end.line+1<B.position.start.line){R=!0;break}N=B}}const O=S.map(N=>{const L=C.parseBlockTokens(N.children),B=R?L:L.map(F=>F.type===ParagraphType$1?F.children:F).flat();return C.shouldReservePosition?{type:ListItemType,position:N.position,status:N.status,children:B}:{type:ListItemType,status:N.status,children:B}});return C.shouldReservePosition?{type:ListType,position:{start:{...S[0].position.start},end:{...S[S.length-1].position.end}},ordered:S[0].ordered,orderType:S[0].orderType,start:S[0].order,marker:S[0].marker,spread:R,children:O}:{type:ListType,ordered:S[0].ordered,orderType:S[0].orderType,start:S[0].order,marker:S[0].marker,spread:R,children:O}},uniqueName$4="@yozora/tokenizer-list";class ListTokenizer extends BaseBlockTokenizer{constructor(R={}){super({name:R.name??uniqueName$4,priority:R.priority??TokenizerPriority.CONTAINING_BLOCK});Cn(this,"enableTaskListItem");Cn(this,"emptyItemCouldNotInterruptedTypes");Cn(this,"match",match$7);Cn(this,"parse",parse$5);this.enableTaskListItem=R.enableTaskListItem??!1,this.emptyItemCouldNotInterruptedTypes=R.emptyItemCouldNotInterruptedTypes??[ParagraphType$1]}}const match$6=function(){return{isContainingBlock:!1,eatOpener:S,eatContinuationText:C,eatLazyContinuationText:R};function S(O){const{endIndex:I,firstNonWhitespaceIndex:N}=O;if(N>=I)return null;const L=[O],B=calcPositionFromPhrasingContentLines(L);return{token:{nodeType:ParagraphType$1,position:B,lines:L},nextIndex:I}}function C(O,I){const{endIndex:N,firstNonWhitespaceIndex:L}=O;return L>=N?{status:"notMatched"}:(I.lines.push(O),{status:"opening",nextIndex:N})}function R(O,I){return C(O,I)}},parse$4=function(S){return{parse:C=>{const R=[];for(const O of C){const I=mergeAndStripContentLines(O.lines),N=S.processInlines(I);if(N.length<=0)continue;const L=S.shouldReservePosition?{type:ParagraphType$1,position:O.position,children:N}:{type:ParagraphType$1,children:N};R.push(L)}return R}}},uniqueName$3="@yozora/tokenizer-paragraph";class ParagraphTokenizer extends BaseBlockTokenizer{constructor(R={}){super({name:R.name??uniqueName$3,priority:R.priority??TokenizerPriority.FALLBACK});Cn(this,"match",match$6);Cn(this,"parse",parse$4)}extractPhrasingContentLines(R){return R.lines}buildBlockToken(R){const O=trimBlankLines(R);if(O.length<=0)return null;const I=calcPositionFromPhrasingContentLines(O);return{nodeType:ParagraphType$1,lines:O,position:I}}}const match$5=function(S){return{isContainingBlock:!1,eatOpener:C,eatAndInterruptPreviousSibling:R};function C(){return null}function R(O,I){const{nodePoints:N,endIndex:L,firstNonWhitespaceIndex:B,countOfPrecedeSpaces:j}=O;if(j>=4||B>=L)return null;let F=null,V=!1;for(let J=B;J<L;++J){const oe=N[J];if(oe.codePoint===VirtualCodePoint.LINE_END)break;if(isUnicodeWhitespaceCharacter(oe.codePoint)){V=!0;continue}if(V||oe.codePoint!==AsciiCodePoint.EQUALS_SIGN&&oe.codePoint!==AsciiCodePoint.MINUS_SIGN||F!=null&&F!==oe.codePoint){F=null;break}F=oe.codePoint}if(F==null)return null;const K=S.extractPhrasingLines(I);if(K==null)return null;const W=L;return{token:{nodeType:HeadingType,position:{start:calcStartPoint(K[0].nodePoints,K[0].startIndex),end:calcEndPoint(N,W-1)},marker:F,lines:K},nextIndex:W,saturated:!0,remainingSibling:null}}},parse$3=function(S){return{parse:C=>C.map(R=>{let O=1;switch(R.marker){case AsciiCodePoint.EQUALS_SIGN:O=1;break;case AsciiCodePoint.MINUS_SIGN:O=2;break}const I=mergeAndStripContentLines(R.lines),N=S.processInlines(I);return S.shouldReservePosition?{type:HeadingType,position:R.position,depth:O,children:N}:{type:HeadingType,depth:O,children:N}})}},uniqueName$2="@yozora/tokenizer-setext-heading";class SetextHeadingTokenizer extends BaseBlockTokenizer{constructor(R={}){super({name:R.name??uniqueName$2,priority:R.priority??TokenizerPriority.ATOMIC});Cn(this,"match",match$5);Cn(this,"parse",parse$3)}}const match$4=function(){return{findDelimiter:()=>genFindDelimiter((S,C)=>({type:"full",startIndex:S,endIndex:C})),processSingleDelimiter:S=>[{nodeType:TextType$1,startIndex:S.startIndex,endIndex:S.endIndex}]}},parse$2=function(S){return{parse:C=>C.map(R=>{const O=S.getNodePoints();let I=calcEscapedStringFromNodePoints(O,R.startIndex,R.endIndex);return I=stripSpaces(I),S.shouldReservePosition?{type:TextType$1,position:S.calcPosition(R),value:I}:{type:TextType$1,value:I}})}},_stripRegex=/[^\S\n]*\n[^\S\n]*/g,stripSpaces=S=>S.replace(_stripRegex,`
-`),uniqueName$1="@yozora/tokenizer-text";class TextTokenizer extends BaseInlineTokenizer{constructor(R={}){super({name:R.name??uniqueName$1,priority:R.priority??TokenizerPriority.FALLBACK});Cn(this,"match",match$4);Cn(this,"parse",parse$2)}findAndHandleDelimiter(R,O){return{nodeType:TextType$1,startIndex:R,endIndex:O}}}const match$3=function(){return{isContainingBlock:!1,eatOpener:S,eatAndInterruptPreviousSibling:C};function S(R){if(R.countOfPrecedeSpaces>=4)return null;const{nodePoints:O,startIndex:I,endIndex:N,firstNonWhitespaceIndex:L}=R;if(L+2>=N)return null;let B,j=0,F=!0,V=!1;for(let W=L;W<N;++W){const X=O[W];if(isUnicodeWhitespaceCharacter(X.codePoint)){V=!0;continue}switch(V&&(F=!1),X.codePoint){case AsciiCodePoint.MINUS_SIGN:case AsciiCodePoint.UNDERSCORE:case AsciiCodePoint.ASTERISK:{if(j<=0){B=X.codePoint,j+=1;break}if(X.codePoint!==B)return null;j+=1;break}default:return null}}return j<3?null:{token:{nodeType:ThematicBreakType,position:{start:calcStartPoint(O,I),end:calcEndPoint(O,N-1)},marker:B,continuous:F},nextIndex:N,saturated:!0}}function C(R,O){const I=S(R);return I==null?null:{token:I.token,nextIndex:I.nextIndex,remainingSibling:O}}},parse$1=function(S){return{parse:C=>C.map(R=>S.shouldReservePosition?{type:ThematicBreakType,position:R.position}:{type:ThematicBreakType})}},uniqueName="@yozora/tokenizer-thematic-break";class ThematicBreakTokenizer extends BaseBlockTokenizer{constructor(R={}){super({name:R.name??uniqueName,priority:R.priority??TokenizerPriority.ATOMIC});Cn(this,"match",match$3);Cn(this,"parse",parse$1)}}class GfmParser extends DefaultParser{constructor(C={}){super({...C,blockFallbackTokenizer:C.blockFallbackTokenizer??new ParagraphTokenizer,inlineFallbackTokenizer:C.inlineFallbackTokenizer??new TextTokenizer}),this.useTokenizer(new IndentedCodeTokenizer).useTokenizer(new HtmlBlockTokenizer).useTokenizer(new SetextHeadingTokenizer).useTokenizer(new ThematicBreakTokenizer).useTokenizer(new BlockquoteTokenizer).useTokenizer(new ListTokenizer({enableTaskListItem:!1})).useTokenizer(new HeadingTokenizer).useTokenizer(new FencedCodeTokenizer).useTokenizer(new DefinitionTokenizer).useTokenizer(new HtmlInlineTokenizer).useTokenizer(new InlineCodeTokenizer).useTokenizer(new AutolinkTokenizer).useTokenizer(new BreakTokenizer).useTokenizer(new ImageTokenizer).useTokenizer(new ImageReferenceTokenizer).useTokenizer(new LinkTokenizer).useTokenizer(new LinkReferenceTokenizer).useTokenizer(new EmphasisTokenizer)}}const parser=new GfmParser({defaultParseOptions:{shouldReservePosition:!1}});class BlockquoteRenderer extends React.Component{shouldComponentUpdate(C){return this.props.children!==C.children}render(){const C=this.props.children;return jsxRuntimeExports.jsx("blockquote",{className:cls$b,children:jsxRuntimeExports.jsx(NodesRenderer,{nodes:C})})}}const cls$b=mergeStyles$1(astClasses.blockquote,{boxSizing:"border-box",padding:"0.625em 1em",borderLeft:"0.25em solid var(--colorBorderBlockquote)",margin:"0px 0px 1.25em 0px",background:"var(--colorBgBlockquote)",boxShadow:"0 1px 2px 0 hsla(0deg, 0%, 0%, 0.1)","> :last-child":{marginBottom:0}});class BreakRenderer extends React.Component{shouldComponentUpdate(){return!1}render(){return jsxRuntimeExports.jsx("br",{className:cls$a})}}const cls$a=mergeStyles$1(astClasses.break,{boxSizing:"border-box"});var prism={exports:{}};(function(S){var C=typeof window<"u"?window:typeof WorkerGlobalScope<"u"&&self instanceof WorkerGlobalScope?self:{};/**
- * Prism: Lightweight, robust, elegant syntax highlighting
- *
- * @license MIT <https://opensource.org/licenses/MIT>
- * @author Lea Verou <https://lea.verou.me>
- * @namespace
- * @public
- */var R=function(O){var I=/(?:^|\s)lang(?:uage)?-([\w-]+)(?=\s|$)/i,N=0,L={},B={manual:O.Prism&&O.Prism.manual,disableWorkerMessageHandler:O.Prism&&O.Prism.disableWorkerMessageHandler,util:{encode:function xe(Ae){return Ae instanceof j?new j(Ae.type,xe(Ae.content),Ae.alias):Array.isArray(Ae)?Ae.map(xe):Ae.replace(/&/g,"&amp;").replace(/</g,"&lt;").replace(/\u00a0/g," ")},type:function(xe){return Object.prototype.toString.call(xe).slice(8,-1)},objId:function(xe){return xe.__id||Object.defineProperty(xe,"__id",{value:++N}),xe.__id},clone:function xe(Ae,ge){ge=ge||{};var Te,we;switch(B.util.type(Ae)){case"Object":if(we=B.util.objId(Ae),ge[we])return ge[we];Te={},ge[we]=Te;for(var ke in Ae)Ae.hasOwnProperty(ke)&&(Te[ke]=xe(Ae[ke],ge));return Te;case"Array":return we=B.util.objId(Ae),ge[we]?ge[we]:(Te=[],ge[we]=Te,Ae.forEach(function(Be,Ie){Te[Ie]=xe(Be,ge)}),Te);default:return Ae}},getLanguage:function(xe){for(;xe;){var Ae=I.exec(xe.className);if(Ae)return Ae[1].toLowerCase();xe=xe.parentElement}return"none"},setLanguage:function(xe,Ae){xe.className=xe.className.replace(RegExp(I,"gi"),""),xe.classList.add("language-"+Ae)},currentScript:function(){if(typeof document>"u")return null;if("currentScript"in document&&1<2)return document.currentScript;try{throw new Error}catch(Te){var xe=(/at [^(\r\n]*\((.*):[^:]+:[^:]+\)$/i.exec(Te.stack)||[])[1];if(xe){var Ae=document.getElementsByTagName("script");for(var ge in Ae)if(Ae[ge].src==xe)return Ae[ge]}return null}},isActive:function(xe,Ae,ge){for(var Te="no-"+Ae;xe;){var we=xe.classList;if(we.contains(Ae))return!0;if(we.contains(Te))return!1;xe=xe.parentElement}return!!ge}},languages:{plain:L,plaintext:L,text:L,txt:L,extend:function(xe,Ae){var ge=B.util.clone(B.languages[xe]);for(var Te in Ae)ge[Te]=Ae[Te];return ge},insertBefore:function(xe,Ae,ge,Te){Te=Te||B.languages;var we=Te[xe],ke={};for(var Be in we)if(we.hasOwnProperty(Be)){if(Be==Ae)for(var Ie in ge)ge.hasOwnProperty(Ie)&&(ke[Ie]=ge[Ie]);ge.hasOwnProperty(Be)||(ke[Be]=we[Be])}var je=Te[xe];return Te[xe]=ke,B.languages.DFS(B.languages,function(Ke,Je){Je===je&&Ke!=xe&&(this[Ke]=ke)}),ke},DFS:function xe(Ae,ge,Te,we){we=we||{};var ke=B.util.objId;for(var Be in Ae)if(Ae.hasOwnProperty(Be)){ge.call(Ae,Be,Ae[Be],Te||Be);var Ie=Ae[Be],je=B.util.type(Ie);je==="Object"&&!we[ke(Ie)]?(we[ke(Ie)]=!0,xe(Ie,ge,null,we)):je==="Array"&&!we[ke(Ie)]&&(we[ke(Ie)]=!0,xe(Ie,ge,Be,we))}}},plugins:{},highlightAll:function(xe,Ae){B.highlightAllUnder(document,xe,Ae)},highlightAllUnder:function(xe,Ae,ge){var Te={callback:ge,container:xe,selector:'code[class*="language-"], [class*="language-"] code, code[class*="lang-"], [class*="lang-"] code'};B.hooks.run("before-highlightall",Te),Te.elements=Array.prototype.slice.apply(Te.container.querySelectorAll(Te.selector)),B.hooks.run("before-all-elements-highlight",Te);for(var we=0,ke;ke=Te.elements[we++];)B.highlightElement(ke,Ae===!0,Te.callback)},highlightElement:function(xe,Ae,ge){var Te=B.util.getLanguage(xe),we=B.languages[Te];B.util.setLanguage(xe,Te);var ke=xe.parentElement;ke&&ke.nodeName.toLowerCase()==="pre"&&B.util.setLanguage(ke,Te);var Be=xe.textContent,Ie={element:xe,language:Te,grammar:we,code:Be};function je(Je){Ie.highlightedCode=Je,B.hooks.run("before-insert",Ie),Ie.element.innerHTML=Ie.highlightedCode,B.hooks.run("after-highlight",Ie),B.hooks.run("complete",Ie),ge&&ge.call(Ie.element)}if(B.hooks.run("before-sanity-check",Ie),ke=Ie.element.parentElement,ke&&ke.nodeName.toLowerCase()==="pre"&&!ke.hasAttribute("tabindex")&&ke.setAttribute("tabindex","0"),!Ie.code){B.hooks.run("complete",Ie),ge&&ge.call(Ie.element);return}if(B.hooks.run("before-highlight",Ie),!Ie.grammar){je(B.util.encode(Ie.code));return}if(Ae&&O.Worker){var Ke=new 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envVars="\\b(?:BASH|BASHOPTS|BASH_ALIASES|BASH_ARGC|BASH_ARGV|BASH_CMDS|BASH_COMPLETION_COMPAT_DIR|BASH_LINENO|BASH_REMATCH|BASH_SOURCE|BASH_VERSINFO|BASH_VERSION|COLORTERM|COLUMNS|COMP_WORDBREAKS|DBUS_SESSION_BUS_ADDRESS|DEFAULTS_PATH|DESKTOP_SESSION|DIRSTACK|DISPLAY|EUID|GDMSESSION|GDM_LANG|GNOME_KEYRING_CONTROL|GNOME_KEYRING_PID|GPG_AGENT_INFO|GROUPS|HISTCONTROL|HISTFILE|HISTFILESIZE|HISTSIZE|HOME|HOSTNAME|HOSTTYPE|IFS|INSTANCE|JOB|LANG|LANGUAGE|LC_ADDRESS|LC_ALL|LC_IDENTIFICATION|LC_MEASUREMENT|LC_MONETARY|LC_NAME|LC_NUMERIC|LC_PAPER|LC_TELEPHONE|LC_TIME|LESSCLOSE|LESSOPEN|LINES|LOGNAME|LS_COLORS|MACHTYPE|MAILCHECK|MANDATORY_PATH|NO_AT_BRIDGE|OLDPWD|OPTERR|OPTIND|ORBIT_SOCKETDIR|OSTYPE|PAPERSIZE|PATH|PIPESTATUS|PPID|PS1|PS2|PS3|PS4|PWD|RANDOM|REPLY|SECONDS|SELINUX_INIT|SESSION|SESSIONTYPE|SESSION_MANAGER|SHELL|SHELLOPTS|SHLVL|SSH_AUTH_SOCK|TERM|UID|UPSTART_EVENTS|UPSTART_INSTANCE|UPSTART_JOB|UPSTART_SESSION|USER|WINDOWID|XAUTHORITY|XDG_CONFIG_DIRS|XDG_CURRENT_DESKTOP|XDG_DATA_DIRS|XDG_GREETER_DATA_DIR|XDG_MENU_PREFIX|XDG_RUNTIME_DIR|XDG_SEAT|XDG_SEAT_PATH|XDG_SESSION_DESKTOP|XDG_SESSION_ID|XDG_SESSION_PATH|XDG_SESSION_TYPE|XDG_VTNR|XMODIFIERS)\\b",commandAfterHeredoc={pattern:/(^(["']?)\w+\2)[ 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0},insideString={bash:commandAfterHeredoc,environment:{pattern:RegExp("\\$"+envVars),alias:"constant"},variable:[{pattern:/\$?\(\([\s\S]+?\)\)/,greedy:!0,inside:{variable:[{pattern:/(^\$\(\([\s\S]+)\)\)/,lookbehind:!0},/^\$\(\(/],number:/\b0x[\dA-Fa-f]+\b|(?:\b\d+(?:\.\d*)?|\B\.\d+)(?:[Ee]-?\d+)?/,operator:/--|\+\+|\*\*=?|<<=?|>>=?|&&|\|\||[=!+\-*/%<>^&|]=?|[?~:]/,punctuation:/\(\(?|\)\)?|,|;/}},{pattern:/\$\((?:\([^)]+\)|[^()])+\)|`[^`]+`/,greedy:!0,inside:{variable:/^\$\(|^`|\)$|`$/}},{pattern:/\$\{[^}]+\}/,greedy:!0,inside:{operator:/:[-=?+]?|[!/]|##?|%%?|\^\^?|,,?/,punctuation:/[[\]]/,environment:{pattern:RegExp("(\\{)"+envVars),lookbehind:!0,alias:"constant"}}},/\$(?:\w+|[#?*!@$])/],entity:/\\(?:[abceEfnrtv\\"]|O?[0-7]{1,3}|U[0-9a-fA-F]{8}|u[0-9a-fA-F]{4}|x[0-9a-fA-F]{1,2})/};Prism.languages.bash={shebang:{pattern:/^#!\s*\/.*/,alias:"important"},comment:{pattern:/(^|[^"{\\$])#.*/,lookbehind:!0},"function-name":[{pattern:/(\bfunction\s+)[\w-]+(?=(?:\s*\(?:\s*\))?\s*\{)/,lookbehind:!0,alias:"function"},{pattern:/\b[\w-]+(?=\s*\(\s*\)\s*\{)/,alias:"function"}],"for-or-select":{pattern:/(\b(?:for|select)\s+)\w+(?=\s+in\s)/,alias:"variable",lookbehind:!0},"assign-left":{pattern:/(^|[\s;|&]|[<>]\()\w+(?:\.\w+)*(?=\+?=)/,inside:{environment:{pattern:RegExp("(^|[\\s;|&]|[<>]\\()"+envVars),lookbehind:!0,alias:"constant"}},alias:"variable",lookbehind:!0},parameter:{pattern:/(^|\s)-{1,2}(?:\w+:[+-]?)?\w+(?:\.\w+)*(?=[=\s]|$)/,alias:"variable",lookbehind:!0},string:[{pattern:/((?:^|[^<])<<-?\s*)(\w+)\s[\s\S]*?(?:\r?\n|\r)\2/,lookbehind:!0,greedy:!0,inside:insideString},{pattern:/((?:^|[^<])<<-?\s*)(["'])(\w+)\2\s[\s\S]*?(?:\r?\n|\r)\3/,lookbehind:!0,greedy:!0,inside:{bash:commandAfterHeredoc}},{pattern:/(^|[^\\](?:\\\\)*)"(?:\\[\s\S]|\$\([^)]+\)|\$(?!\()|`[^`]+`|[^"\\`$])*"/,lookbehind:!0,greedy:!0,inside:insideString},{pattern:/(^|[^$\\])'[^']*'/,lookbehind:!0,greedy:!0},{pattern:/\$'(?:[^'\\]|\\[\s\S])*'/,greedy:!0,inside:{entity:insideString.entity}}],environment:{pattern:RegExp("\\$?"+envVars),alias:"constant"},variable:insideString.variable,function:{pattern:/(^|[\s;|&]|[<>]\()(?:add|apropos|apt|apt-cache|apt-get|aptitude|aspell|automysqlbackup|awk|basename|bash|bc|bconsole|bg|bzip2|cal|cargo|cat|cfdisk|chgrp|chkconfig|chmod|chown|chroot|cksum|clear|cmp|column|comm|composer|cp|cron|crontab|csplit|curl|cut|date|dc|dd|ddrescue|debootstrap|df|diff|diff3|dig|dir|dircolors|dirname|dirs|dmesg|docker|docker-compose|du|egrep|eject|env|ethtool|expand|expect|expr|fdformat|fdisk|fg|fgrep|file|find|fmt|fold|format|free|fsck|ftp|fuser|gawk|git|gparted|grep|groupadd|groupdel|groupmod|groups|grub-mkconfig|gzip|halt|head|hg|history|host|hostname|htop|iconv|id|ifconfig|ifdown|ifup|import|install|ip|java|jobs|join|kill|killall|less|link|ln|locate|logname|logrotate|look|lpc|lpr|lprint|lprintd|lprintq|lprm|ls|lsof|lynx|make|man|mc|mdadm|mkconfig|mkdir|mke2fs|mkfifo|mkfs|mkisofs|mknod|mkswap|mmv|more|most|mount|mtools|mtr|mutt|mv|nano|nc|netstat|nice|nl|node|nohup|notify-send|npm|nslookup|op|open|parted|passwd|paste|pathchk|ping|pkill|pnpm|podman|podman-compose|popd|pr|printcap|printenv|ps|pushd|pv|quota|quotacheck|quotactl|ram|rar|rcp|reboot|remsync|rename|renice|rev|rm|rmdir|rpm|rsync|scp|screen|sdiff|sed|sendmail|seq|service|sftp|sh|shellcheck|shuf|shutdown|sleep|slocate|sort|split|ssh|stat|strace|su|sudo|sum|suspend|swapon|sync|sysctl|tac|tail|tar|tee|time|timeout|top|touch|tr|traceroute|tsort|tty|umount|uname|unexpand|uniq|units|unrar|unshar|unzip|update-grub|uptime|useradd|userdel|usermod|users|uudecode|uuencode|v|vcpkg|vdir|vi|vim|virsh|vmstat|wait|watch|wc|wget|whereis|which|who|whoami|write|xargs|xdg-open|yarn|yes|zenity|zip|zsh|zypper)(?=$|[)\s;|&])/,lookbehind:!0},keyword:{pattern:/(^|[\s;|&]|[<>]\()(?:case|do|done|elif|else|esac|fi|for|function|if|in|select|then|until|while)(?=$|[)\s;|&])/,lookbehind:!0},builtin:{pattern:/(^|[\s;|&]|[<>]\()(?:\.|:|alias|bind|break|builtin|caller|cd|command|continue|declare|echo|enable|eval|exec|exit|export|getopts|hash|help|let|local|logout|mapfile|printf|pwd|read|readarray|readonly|return|set|shift|shopt|source|test|times|trap|type|typeset|ulimit|umask|unalias|unset)(?=$|[)\s;|&])/,lookbehind:!0,alias:"class-name"},boolean:{pattern:/(^|[\s;|&]|[<>]\()(?:false|true)(?=$|[)\s;|&])/,lookbehind:!0},"file-descriptor":{pattern:/\B&\d\b/,alias:"important"},operator:{pattern:/\d?<>|>\||\+=|=[=~]?|!=?|<<[<-]?|[&\d]?>>|\d[<>]&?|[<>][&=]?|&[>&]?|\|[&|]?/,inside:{"file-descriptor":{pattern:/^\d/,alias:"important"}}},punctuation:/\$?\(\(?|\)\)?|\.\.|[{}[\];\\]/,number:{pattern:/(^|\s)(?:[1-9]\d*|0)(?:[.,]\d+)?\b/,lookbehind:!0}},commandAfterHeredoc.inside=Prism.languages.bash;const toBeCopied=["comment","function-name","for-or-select","assign-left","parameter","string","environment","function","keyword","builtin","boolean","file-descriptor","operator","punctuation","number"],inside$1=insideString.variable[1].inside;for(let S=0;S<toBeCopied.length;S++)inside$1[toBeCopied[S]]=Prism.languages.bash[toBeCopied[S]];Prism.languages.sh=Prism.languages.bash,Prism.languages.shell=Prism.languages.bash,Prism.languages.c=Prism.languages.extend("clike",{comment:{pattern:/\/\/(?:[^\r\n\\]|\\(?:\r\n?|\n|(?![\r\n])))*|\/\*[\s\S]*?(?:\*\/|$)/,greedy:!0},string:{pattern:/"(?:\\(?:\r\n|[\s\S])|[^"\\\r\n])*"/,greedy:!0},"class-name":{pattern:/(\b(?:enum|struct)\s+(?:__attribute__\s*\(\([\s\S]*?\)\)\s*)?)\w+|\b[a-z]\w*_t\b/,lookbehind:!0},keyword:/\b(?:_Alignas|_Alignof|_Atomic|_Bool|_Complex|_Generic|_Imaginary|_Noreturn|_Static_assert|_Thread_local|__attribute__|asm|auto|break|case|char|const|continue|default|do|double|else|enum|extern|float|for|goto|if|inline|int|long|register|return|short|signed|sizeof|static|struct|switch|typedef|typeof|union|unsigned|void|volatile|while)\b/,function:/\b[a-z_]\w*(?=\s*\()/i,number:/(?:\b0x(?:[\da-f]+(?:\.[\da-f]*)?|\.[\da-f]+)(?:p[+-]?\d+)?|(?:\b\d+(?:\.\d*)?|\B\.\d+)(?:e[+-]?\d+)?)[ful]{0,4}/i,operator:/>>=?|<<=?|->|([-+&|:])\1|[?:~]|[-+*/%&|^!=<>]=?/}),Prism.languages.insertBefore("c","string",{char:{pattern:/'(?:\\(?:\r\n|[\s\S])|[^'\\\r\n]){0,32}'/,greedy:!0}}),Prism.languages.insertBefore("c","string",{macro:{pattern:/(^[\t ]*)#\s*[a-z](?:[^\r\n\\/]|\/(?!\*)|\/\*(?:[^*]|\*(?!\/))*\*\/|\\(?:\r\n|[\s\S]))*/im,lookbehind:!0,greedy:!0,alias:"property",inside:{string:[{pattern:/^(#\s*include\s*)<[^>]+>/,lookbehind:!0},Prism.languages.c.string],char:Prism.languages.c.char,comment:Prism.languages.c.comment,"macro-name":[{pattern:/(^#\s*define\s+)\w+\b(?!\()/i,lookbehind:!0},{pattern:/(^#\s*define\s+)\w+\b(?=\()/i,lookbehind:!0,alias:"function"}],directive:{pattern:/^(#\s*)[a-z]+/,lookbehind:!0,alias:"keyword"},"directive-hash":/^#/,punctuation:/##|\\(?=[\r\n])/,expression:{pattern:/\S[\s\S]*/,inside:Prism.languages.c}}}}),Prism.languages.insertBefore("c","function",{constant:/\b(?:EOF|NULL|SEEK_CUR|SEEK_END|SEEK_SET|__DATE__|__FILE__|__LINE__|__TIMESTAMP__|__TIME__|__func__|stderr|stdin|stdout)\b/}),delete Prism.languages.c.boolean;const string$1=/(?:"(?:\\(?:\r\n|[\s\S])|[^"\\\r\n])*"|'(?:\\(?:\r\n|[\s\S])|[^'\\\r\n])*')/;Prism.languages.css={comment:/\/\*[\s\S]*?\*\//,atrule:{pattern:RegExp("@[\\w-](?:"+/[^;{\s"']|\s+(?!\s)/.source+"|"+string$1.source+")*?"+/(?:;|(?=\s*\{))/.source),inside:{rule:/^@[\w-]+/,"selector-function-argument":{pattern:/(\bselector\s*\(\s*(?![\s)]))(?:[^()\s]|\s+(?![\s)])|\((?:[^()]|\([^()]*\))*\))+(?=\s*\))/,lookbehind:!0,alias:"selector"},keyword:{pattern:/(^|[^\w-])(?:and|not|only|or)(?![\w-])/,lookbehind:!0}}},url:{pattern:RegExp("\\burl\\((?:"+string$1.source+"|"+/(?:[^\\\r\n()"']|\\[\s\S])*/.source+")\\)","i"),greedy:!0,inside:{function:/^url/i,punctuation:/^\(|\)$/,string:{pattern:RegExp("^"+string$1.source+"$"),alias:"url"}}},selector:{pattern:RegExp(`(^|[{}\\s])[^{}\\s](?:[^{};"'\\s]|\\s+(?![\\s{])|`+string$1.source+")*(?=\\s*\\{)"),lookbehind:!0},string:{pattern:string$1,greedy:!0},property:{pattern:/(^|[^-\w\xA0-\uFFFF])(?!\s)[-_a-z\xA0-\uFFFF](?:(?!\s)[-\w\xA0-\uFFFF])*(?=\s*:)/i,lookbehind:!0},important:/!important\b/i,function:{pattern:/(^|[^-a-z0-9])[-a-z0-9]+(?=\()/i,lookbehind:!0},punctuation:/[(){};:,]/},Prism.languages.css.atrule.inside.rest=Prism.languages.css;const markup=Prism.languages.markup;markup&&(markup.tag.addInlined("style","css"),markup.tag.addAttribute("style","css"));const keyword=/\b(?:alignas|alignof|asm|auto|bool|break|case|catch|char|char16_t|char32_t|char8_t|class|co_await|co_return|co_yield|compl|concept|const|const_cast|consteval|constexpr|constinit|continue|decltype|default|delete|do|double|dynamic_cast|else|enum|explicit|export|extern|final|float|for|friend|goto|if|import|inline|int|int16_t|int32_t|int64_t|int8_t|long|module|mutable|namespace|new|noexcept|nullptr|operator|override|private|protected|public|register|reinterpret_cast|requires|return|short|signed|sizeof|static|static_assert|static_cast|struct|switch|template|this|thread_local|throw|try|typedef|typeid|typename|uint16_t|uint32_t|uint64_t|uint8_t|union|unsigned|using|virtual|void|volatile|wchar_t|while)\b/,modName=/\b(?!<keyword>)\w+(?:\s*\.\s*\w+)*\b/.source.replace(/<keyword>/g,function(){return keyword.source});Prism.languages.cpp=Prism.languages.extend("c",{"class-name":[{pattern:RegExp(/(\b(?:class|concept|enum|struct|typename)\s+)(?!<keyword>)\w+/.source.replace(/<keyword>/g,function(){return keyword.source})),lookbehind:!0},/\b[A-Z]\w*(?=\s*::\s*\w+\s*\()/,/\b[A-Z_]\w*(?=\s*::\s*~\w+\s*\()/i,/\b\w+(?=\s*<(?:[^<>]|<(?:[^<>]|<[^<>]*>)*>)*>\s*::\s*\w+\s*\()/],keyword,number:{pattern:/(?:\b0b[01']+|\b0x(?:[\da-f']+(?:\.[\da-f']*)?|\.[\da-f']+)(?:p[+-]?[\d']+)?|(?:\b[\d']+(?:\.[\d']*)?|\B\.[\d']+)(?:e[+-]?[\d']+)?)[ful]{0,4}/i,greedy:!0},operator:/>>=?|<<=?|->|--|\+\+|&&|\|\||[?:~]|<=>|[-+*/%&|^!=<>]=?|\b(?:and|and_eq|bitand|bitor|not|not_eq|or|or_eq|xor|xor_eq)\b/,boolean:/\b(?:false|true)\b/}),Prism.languages.insertBefore("cpp","string",{module:{pattern:RegExp(/(\b(?:import|module)\s+)/.source+"(?:"+/"(?:\\(?:\r\n|[\s\S])|[^"\\\r\n])*"|<[^<>\r\n]*>/.source+"|"+/<mod-name>(?:\s*:\s*<mod-name>)?|:\s*<mod-name>/.source.replace(/<mod-name>/g,function(){return modName})+")"),lookbehind:!0,greedy:!0,inside:{string:/^[<"][\s\S]+/,operator:/:/,punctuation:/\./}},"raw-string":{pattern:/R"([^()\\ ]{0,16})\([\s\S]*?\)\1"/,alias:"string",greedy:!0}}),Prism.languages.insertBefore("cpp","keyword",{"generic-function":{pattern:/\b(?!operator\b)[a-z_]\w*\s*<(?:[^<>]|<[^<>]*>)*>(?=\s*\()/i,inside:{function:/^\w+/,generic:{pattern:/<[\s\S]+/,alias:"class-name",inside:Prism.languages.cpp}}}}),Prism.languages.insertBefore("cpp","operator",{"double-colon":{pattern:/::/,alias:"punctuation"}}),Prism.languages.insertBefore("cpp","class-name",{"base-clause":{pattern:/(\b(?:class|struct)\s+\w+\s*:\s*)[^;{}"'\s]+(?:\s+[^;{}"'\s]+)*(?=\s*[;{])/,lookbehind:!0,greedy:!0,inside:Prism.languages.extend("cpp",{})}}),Prism.languages.insertBefore("inside","double-colon",{"class-name":/\b[a-z_]\w*\b(?!\s*::)/i},Prism.languages.cpp["base-clause"]);const ID="(?:"+[/[a-zA-Z_\x80-\uFFFF][\w\x80-\uFFFF]*/.source,/-?(?:\.\d+|\d+(?:\.\d*)?)/.source,/"[^"\\]*(?:\\[\s\S][^"\\]*)*"/.source,/<(?:[^<>]|(?!<!--)<(?:[^<>"']|"[^"]*"|'[^']*')+>|<!--(?:[^-]|-(?!->))*-->)*>/.source].join("|")+")",IDInside={markup:{pattern:/(^<)[\s\S]+(?=>$)/,lookbehind:!0,alias:["language-markup","language-html","language-xml"],inside:Prism.languages.markup}};function withID(S,C){return RegExp(S.replace(/<ID>/g,function(){return ID}),C)}Prism.languages.dot={comment:{pattern:/\/\/.*|\/\*[\s\S]*?\*\/|^#.*/m,greedy:!0},"graph-name":{pattern:withID(/(\b(?:digraph|graph|subgraph)[ \t\r\n]+)<ID>/.source,"i"),lookbehind:!0,greedy:!0,alias:"class-name",inside:IDInside},"attr-value":{pattern:withID(/(=[ \t\r\n]*)<ID>/.source),lookbehind:!0,greedy:!0,inside:IDInside},"attr-name":{pattern:withID(/([[;, \t\r\n])<ID>(?=[ \t\r\n]*=)/.source),lookbehind:!0,greedy:!0,inside:IDInside},keyword:/\b(?:digraph|edge|graph|node|strict|subgraph)\b/i,"compass-point":{pattern:/(:[ \t\r\n]*)(?:[ewc_]|[ns][ew]?)(?![\w\x80-\uFFFF])/,lookbehind:!0,alias:"builtin"},node:{pattern:withID(/(^|[^-.\w\x80-\uFFFF\\])<ID>/.source),lookbehind:!0,greedy:!0,inside:IDInside},operator:/[=:]|-[->]/,punctuation:/[[\]{};,]/},Prism.languages.gv=Prism.languages.dot,Prism.languages.diff={coord:[/^(?:\*{3}|-{3}|\+{3}).*$/m,/^@@.*@@$/m,/^\d.*$/m]};const PREFIXES={"deleted-sign":"-","deleted-arrow":"<","inserted-sign":"+","inserted-arrow":">",unchanged:" ",diff:"!"};Object.keys(PREFIXES).forEach(function(S){const C=PREFIXES[S],R=[];/^\w+$/.test(S)||R.push(/\w+/.exec(S)[0]),S==="diff"&&R.push("bold"),Prism.languages.diff[S]={pattern:RegExp("^(?:["+C+`].*(?:\r
-?|
-|(?![\\s\\S])))+`,"m"),alias:R,inside:{line:{pattern:/(.)(?=[\s\S]).*(?:\r\n?|\n)?/,lookbehind:!0},prefix:{pattern:/[\s\S]/,alias:/\w+/.exec(S)[0]}}}}),Object.defineProperty(Prism.languages.diff,"PREFIXES",{value:PREFIXES}),Prism.languages.git={comment:/^#.*/m,deleted:/^[-–].*/m,inserted:/^\+.*/m,string:/("|')(?:\\.|(?!\1)[^\\\r\n])*\1/,command:{pattern:/^.*\$ git .*$/m,inside:{parameter:/\s--?\w+/}},coord:/^@@.*@@$/m,"commit-sha1":/^commit \w{40}$/m},Prism.languages.go=Prism.languages.extend("clike",{string:{pattern:/(^|[^\\])"(?:\\.|[^"\\\r\n])*"|`[^`]*`/,lookbehind:!0,greedy:!0},keyword:/\b(?:break|case|chan|const|continue|default|defer|else|fallthrough|for|func|go(?:to)?|if|import|interface|map|package|range|return|select|struct|switch|type|var)\b/,boolean:/\b(?:_|false|iota|nil|true)\b/,number:[/\b0(?:b[01_]+|o[0-7_]+)i?\b/i,/\b0x(?:[a-f\d_]+(?:\.[a-f\d_]*)?|\.[a-f\d_]+)(?:p[+-]?\d+(?:_\d+)*)?i?(?!\w)/i,/(?:\b\d[\d_]*(?:\.[\d_]*)?|\B\.\d[\d_]*)(?:e[+-]?[\d_]+)?i?(?!\w)/i],operator:/[*/%^!=]=?|\+[=+]?|-[=-]?|\|[=|]?|&(?:=|&|\^=?)?|>(?:>=?|=)?|<(?:<=?|=|-)?|:=|\.\.\./,builtin:/\b(?:append|bool|byte|cap|close|complex|complex(?:64|128)|copy|delete|error|float(?:32|64)|u?int(?:8|16|32|64)?|imag|len|make|new|panic|print(?:ln)?|real|recover|rune|string|uintptr)\b/}),Prism.languages.insertBefore("go","string",{char:{pattern:/'(?:\\.|[^'\\\r\n]){0,10}'/,greedy:!0}}),delete Prism.languages.go["class-name"];const keywords=/\b(?:abstract|assert|boolean|break|byte|case|catch|char|class|const|continue|default|do|double|else|enum|exports|extends|final|finally|float|for|goto|if|implements|import|instanceof|int|interface|long|module|native|new|non-sealed|null|open|opens|package|permits|private|protected|provides|public|record(?!\s*[(){}[\]<>=%~.:,;?+\-*/&|^])|requires|return|sealed|short|static|strictfp|super|switch|synchronized|this|throw|throws|to|transient|transitive|try|uses|var|void|volatile|while|with|yield)\b/,classNamePrefix=/(?:[a-z]\w*\s*\.\s*)*(?:[A-Z]\w*\s*\.\s*)*/.source,className={pattern:RegExp(/(^|[^\w.])/.source+classNamePrefix+/[A-Z](?:[\d_A-Z]*[a-z]\w*)?\b/.source),lookbehind:!0,inside:{namespace:{pattern:/^[a-z]\w*(?:\s*\.\s*[a-z]\w*)*(?:\s*\.)?/,inside:{punctuation:/\./}},punctuation:/\./}};if(Prism.languages.java=Prism.languages.extend("clike",{string:{pattern:/(^|[^\\])"(?:\\.|[^"\\\r\n])*"/,lookbehind:!0,greedy:!0},"class-name":[className,{pattern:RegExp(/(^|[^\w.])/.source+classNamePrefix+/[A-Z]\w*(?=\s+\w+\s*[;,=()]|\s*(?:\[[\s,]*\]\s*)?::\s*new\b)/.source),lookbehind:!0,inside:className.inside},{pattern:RegExp(/(\b(?:class|enum|extends|implements|instanceof|interface|new|record|throws)\s+)/.source+classNamePrefix+/[A-Z]\w*\b/.source),lookbehind:!0,inside:className.inside}],keyword:keywords,function:[Prism.languages.clike.function,{pattern:/(::\s*)[a-z_]\w*/,lookbehind:!0}],number:/\b0b[01][01_]*L?\b|\b0x(?:\.[\da-f_p+-]+|[\da-f_]+(?:\.[\da-f_p+-]+)?)\b|(?:\b\d[\d_]*(?:\.[\d_]*)?|\B\.\d[\d_]*)(?:e[+-]?\d[\d_]*)?[dfl]?/i,operator:{pattern:/(^|[^.])(?:<<=?|>>>?=?|->|--|\+\+|&&|\|\||::|[?:~]|[-+*/%&|^!=<>]=?)/m,lookbehind:!0},constant:/\b[A-Z][A-Z_\d]+\b/}),Prism.languages.insertBefore("java","string",{"triple-quoted-string":{pattern:/"""[ \t]*[\r\n](?:(?:"|"")?(?:\\.|[^"\\]))*"""/,greedy:!0,alias:"string"},char:{pattern:/'(?:\\.|[^'\\\r\n]){1,6}'/,greedy:!0}}),Prism.languages.insertBefore("java","class-name",{annotation:{pattern:/(^|[^.])@\w+(?:\s*\.\s*\w+)*/,lookbehind:!0,alias:"punctuation"},generics:{pattern:/<(?:[\w\s,.?]|&(?!&)|<(?:[\w\s,.?]|&(?!&)|<(?:[\w\s,.?]|&(?!&)|<(?:[\w\s,.?]|&(?!&))*>)*>)*>)*>/,inside:{"class-name":className,keyword:keywords,punctuation:/[<>(),.:]/,operator:/[?&|]/}},import:[{pattern:RegExp(/(\bimport\s+)/.source+classNamePrefix+/(?:[A-Z]\w*|\*)(?=\s*;)/.source),lookbehind:!0,inside:{namespace:className.inside.namespace,punctuation:/\./,operator:/\*/,"class-name":/\w+/}},{pattern:RegExp(/(\bimport\s+static\s+)/.source+classNamePrefix+/(?:\w+|\*)(?=\s*;)/.source),lookbehind:!0,alias:"static",inside:{namespace:className.inside.namespace,static:/\b\w+$/,punctuation:/\./,operator:/\*/,"class-name":/\w+/}}],namespace:{pattern:RegExp(/(\b(?:exports|import(?:\s+static)?|module|open|opens|package|provides|requires|to|transitive|uses|with)\s+)(?!<keyword>)[a-z]\w*(?:\.[a-z]\w*)*\.?/.source.replace(/<keyword>/g,function(){return 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anchorOrAlias=/[*&][^\s[\]{},]+/,tag=/!(?:<[\w\-%#;/?:@&=+$,.!~*'()[\]]+>|(?:[a-zA-Z\d-]*!)?[\w\-%#;/?:@&=+$.~*'()]+)?/,properties="(?:"+tag.source+"(?:[ 	]+"+anchorOrAlias.source+")?|"+anchorOrAlias.source+"(?:[ 	]+"+tag.source+")?)",plainKey=/(?:[^\s\x00-\x08\x0e-\x1f!"#%&'*,\-:>?@[\]`{|}\x7f-\x84\x86-\x9f\ud800-\udfff\ufffe\uffff]|[?:-]<PLAIN>)(?:[ \t]*(?:(?![#:])<PLAIN>|:<PLAIN>))*/.source.replace(/<PLAIN>/g,()=>/[^\s\x00-\x08\x0e-\x1f,[\]{}\x7f-\x84\x86-\x9f\ud800-\udfff\ufffe\uffff]/.source),string$2=/"(?:[^"\\\r\n]|\\.)*"|'(?:[^'\\\r\n]|\\.)*'/.source;function createValuePattern(S,C){const R=(C||"").replace(/m/g,"")+"m",O=/([:\-,[{]\s*(?:\s<<prop>>[ \t]+)?)(?:<<value>>)(?=[ \t]*(?:$|,|\]|\}|(?:[\r\n]\s*)?#))/.source.replace(/<<prop>>/g,function(){return properties}).replace(/<<value>>/g,function(){return S});return RegExp(O,R)}Prism.languages.yaml={scalar:{pattern:RegExp(/([-:]\s*(?:\s<<prop>>[ \t]+)?[|>])[ \t]*(?:((?:\r?\n|\r)[ 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\t]*(?:Z|[-+]\d\d?(?::\d{2})?))?|\d{4}-\d{2}-\d{2}|\d\d?:\d{2}(?::\d{2}(?:\.\d*)?)?/.source),lookbehind:!0,alias:"number"},boolean:{pattern:createValuePattern(/false|true/.source,"i"),lookbehind:!0,alias:"important"},null:{pattern:createValuePattern(/null|~/.source,"i"),lookbehind:!0,alias:"important"},string:{pattern:createValuePattern(string$2),lookbehind:!0,greedy:!0},number:{pattern:createValuePattern(/[+-]?(?:0x[\da-f]+|0o[0-7]+|(?:\d+(?:\.\d*)?|\.\d+)(?:e[+-]?\d+)?|\.inf|\.nan)/.source,"i"),lookbehind:!0},tag,important:anchorOrAlias,punctuation:/---|[:[\]{}\-,|>?]|\.\.\./},Prism.languages.yml=Prism.languages.yaml;const vscDarkTheme={plain:{color:"#d4d4d4",backgroundColor:"#1e1e1e"},styles:[{types:["prolog"],style:{color:"rgb(0, 0, 128)"}},{types:["comment","punctuation"],style:{color:"rgb(106, 153, 85)"}},{types:["builtin"],style:{color:"rgb(79, 193, 255)"}},{types:["number","variable","inserted"],style:{color:"rgb(181, 206, 168)"}},{types:["operator"],style:{color:"rgb(212, 212, 212)"}},{types:["constant"],style:{color:"rgb(100, 102, 149)"}},{types:["tag","changed","function","keyword"],style:{color:"rgb(86, 156, 214)"}},{types:["attr-name"],style:{color:"rgb(156, 220, 254)"}},{types:["deleted","string","attr-value"],style:{color:"rgb(206, 145, 120)"}},{types:["class-name"],style:{color:"rgb(78, 201, 176)"}},{types:["char"],style:{color:"rgb(209, 105, 105)"}},{types:["selector"],style:{color:"rgb(215, 186, 125)"}},{types:["tag"],languages:["markup"],style:{color:"rgb(86, 156, 214)"}},{types:["punctuation"],languages:["markup"],style:{color:"#808080"}}]},vscLightTheme={plain:{color:"#000000",backgroundColor:"#ffffff"},styles:[{types:["comment"],style:{color:"rgb(0, 128, 0)"}},{types:["builtin"],style:{color:"rgb(0, 112, 193)"}},{types:["number","variable","inserted"],style:{color:"rgb(9, 134, 88)"}},{types:["operator"],style:{color:"rgb(0, 0, 0)"}},{types:["constant","char"],style:{color:"rgb(129, 31, 63)"}},{types:["tag"],style:{color:"rgb(128, 0, 0)"}},{types:["attr-name"],style:{color:"rgb(255, 0, 0)"}},{types:["deleted","string"],style:{color:"rgb(163, 21, 21)"}},{types:["changed","punctuation"],style:{color:"rgb(4, 81, 165)"}},{types:["function","keyword"],style:{color:"rgb(0, 0, 255)"}},{types:["class-name"],style:{color:"rgb(38, 127, 153)"}}]},vars={border:`1px solid var(${TokenNames.colorBorderCodeLineno}, hsla(0deg, 0%, 80%, 0.8))`,highlightBackground:`var(${TokenNames.colorBgCodeHighlight}, hsla(30deg, 90%, 50%, 0.3))`,fontSizeCode:`var(${CommonTokenNames.fontSizeCode}, 14px)`,lineHeightCode:`var(${CommonTokenNames.lineHeightCode}, 1.6)`},classes$2={container:css({MozOsxFontSmoothing:"grayscale",WebkitFontSmoothing:"antialiased",display:"flex",alignItems:"stretch",overflow:"hidden",width:"100%",fontSize:vars.fontSizeCode,lineHeight:vars.lineHeightCode,padding:0,transition:"max-height 0.5s ease-in-out",tabSize:2,fontSmooth:"always",whiteSpace:"pre",wordBreak:"keep-all",wordSpacing:"normal",wordWrap:"normal"}),line:css({boxSizing:"border-box",display:"flex",minWidth:"fit-content",width:"100%",padding:"0 6px",letterSpacing:"inherit",fontSize:vars.fontSizeCode,lineHeight:vars.lineHeightCode,height:vars.lineHeightCode,overflowWrap:"inherit",tabSize:"inherit",textIndent:"inherit",textRendering:"inherit",textTransform:"inherit",whiteSpace:"inherit",wordBreak:"inherit",wordSpacing:"inherit",wordWrap:"inherit"}),linenoLine:css({justifyContent:"flex-end",padding:"0 4px"}),highlightLine:css({background:vars.highlightBackground,borderColor:"transparent"}),lineno:css({flex:"0 0 auto",overflow:"hidden",boxSizing:"border-box",padding:"0.5rem 0",cursor:"default",fontSize:vars.fontSizeCode,lineHeight:vars.lineHeightCode,userSelect:"none",textAlign:"right",borderRight:vars.border}),codes:css({flex:"1 1 auto",overflow:"overlay",boxSizing:"border-box",padding:"0.5rem 0",fontSize:vars.fontSizeCode,lineHeight:vars.lineHeightCode}),codeWrapper:css({minWidth:"100%",width:"fit-content"}),codeLine:css({boxSizing:"border-box",padding:"0 12px"})},languageMap={js:"javascript",ts:"typescript"},themeToDict=(S,C)=>{S=languageMap[S]??S;const{plain:R}=C,O=Object.create(null),I=C.styles.reduce((N,L)=>{const{types:B,style:j,languages:F}=L;if(F&&!F.includes(S))return N;for(const V of B){const K={...N[V],...j};N[V]=K}return N},O);return I.root=R,I.plain={...R,backgroundColor:void 0},I},newlineRegex=/\r\n|\r|\n/,normalizeEmptyLines=S=>{S.length===0?S.push({types:["plain"],content:`
-`,empty:!0}):S.length===1&&S[0].content===""&&(S[0].content=`
-`,S[0].empty=!0)},appendTypes=(S,C)=>{const R=S.length;return R>0&&S[R-1]===C?S:S.concat(C)},normalizeTokens=S=>{const C=[[]],R=[S],O=[0],I=[S.length];let N=[];const L=[N];for(let B=0;B>-1;--B){for(let j=0;(j=O[B]++)<I[B];){let F,V=C[B];const W=R[B][j];if(typeof W=="string"?(V=B>0?V:["plain"],F=W):(V=appendTypes(V,W.type),W.alias&&(V=appendTypes(V,W.alias)),F=W.content),typeof F!="string"){B+=1,C.push(V),R.push(F),O.push(0),I.push(F.length);continue}const X=F.split(newlineRegex),J=X.length;N.push({types:V,content:X[0]});for(let oe=1;oe<J;oe++)normalizeEmptyLines(N),L.push(N=[]),N.push({types:V,content:X[oe]})}C.pop(),R.pop(),O.pop(),I.pop()}return normalizeEmptyLines(N),L};function areSameArray(S,C){if(S===C)return!0;const R=(S==null?void 0:S.length)??0,O=(C==null?void 0:C.length)??0;if(R!==O)return!1;if(!Array.isArray(S)||!Array.isArray(C))return R===0;for(let I=0;I<R;++I)if(S[I]!==C[I])return!1;return!0}class HighlightLinenos extends React.Component{shouldComponentUpdate(C){const R=this.props;return R.countOfLines!==C.countOfLines||!areSameArray(R.highlightLinenos,C.highlightLinenos)}render(){const{countOfLines:C,highlightLinenos:R=[]}=this.props,O=[];for(let I=0;I<C;++I){const N=R.includes(I+1),L=React.createElement("div",{key:I,className:cx(classes$2.line,classes$2.linenoLine,N&&classes$2.highlightLine)},React.createElement("span",{key:I},I+1));O.push(L)}return React.createElement(React.Fragment,null,O)}}Cn(HighlightLinenos,"displayName","HighlightLinenos"),Cn(HighlightLinenos,"propTypes",{countOfLines:PropTypes$1.number.isRequired,highlightLinenos:PropTypes$1.array});class HighlightContent extends React.Component{constructor(R){super(R);Cn(this,"linenoRef");Cn(this,"onScroll",R=>{var N,L;const O=R.target;if(O==null)return;const{scrollTop:I}=O;(L=(N=this.linenoRef.current)==null?void 0:N.scrollTo)==null||L.call(N,0,I)});const O=themeToDict(R.language,R.theme),I=this.tokenize(R.code,R.language),N=R.showLineno?`${Math.max(2,String(I.length).length)*1.1}em`:void 0;this.state={linenoWidth:N,themeDict:O,tokens:I},this.linenoRef={current:null}}shouldComponentUpdate(R,O){const I=this.props,N=this.state;return N.linenoWidth!==O.linenoWidth||N.themeDict!==O.themeDict||N.tokens!==O.tokens||I.code!==R.code||I.codesRef!==R.codesRef||I.collapsed!==R.collapsed||I.language!==R.language||I.maxLines!==R.maxLines||I.showLineno!==R.showLineno||!isEqual$2(I.theme,R.theme)||!isEqual$2(I.highlightLinenos,R.highlightLinenos)}render(){const{linenoRef:R,onScroll:O}=this,{codesRef:I,collapsed:N,highlightLinenos:L,language:B,maxLines:j,showLineno:F=!0}=this.props,{linenoWidth:V,tokens:K}=this.state,W=K.length,X=j>0?Math.min(j,W):W,J={...this.state.themeDict.root,backgroundColor:"none",...N?{maxHeight:0}:{maxHeight:`calc(calc(${vars.lineHeightCode} * ${X+.8}) + 6px)`,minHeight:"100%"}};return React.createElement("div",{className:cx(classes$2.container,B?`prism-code language-${B}`:"prism-code"),style:J},F&&React.createElement("div",{key:"linenos",className:classes$2.lineno,style:{width:V},ref:R},React.createElement(HighlightLinenos,{countOfLines:W,highlightLinenos:L})),React.createElement("div",{key:"codes",ref:I,className:classes$2.codes,onScroll:O},React.createElement("div",{className:classes$2.codeWrapper},K.map((oe,pe)=>{const me=L.includes(pe+1),xe=this.getLineProps({line:oe});return React.createElement("div",{...xe,key:pe,className:cx(classes$2.line,classes$2.codeLine,me&&classes$2.highlightLine,xe.className)},oe.map((Ae,ge)=>React.createElement("span",{...this.getTokenProps({token:Ae}),key:ge})))}))))}componentDidMount(){var R,O;(O=(R=this.props).onLinenoWidthChange)==null||O.call(R,this.state.linenoWidth)}componentDidUpdate(R,O){var B,j;const I=this.props,N=this.state,L=I.language!==R.language||!isEqual$2(I.theme,R.theme)?themeToDict(I.language,I.theme):N.themeDict;if(I.code!==R.code||I.language!==R.language||L!==O.themeDict){const F=this.tokenize(I.code,I.language),V=I.showLineno?`${Math.max(2,String(F.length).length)*1.1}em`:void 0;this.setState({linenoWidth:V,themeDict:L,tokens:F})}N.linenoWidth!==O.linenoWidth&&((j=(B=this.props).onLinenoWidthChange)==null||j.call(B,N.linenoWidth))}tokenize(R,O){const I=O?Prism.languages[O]:void 0;if(I){const N={code:R,grammar:I,language:O,tokens:[]};return Prism.hooks.run("before-tokenize",N),N.tokens=Prism.tokenize(N.code,N.grammar),Prism.hooks.run("after-tokenize",N),normalizeTokens(N.tokens)}else return normalizeTokens([R])}getLineProps(R){const{themeDict:O}=this.state,{key:I,className:N,style:L,line:B,...j}=R,F={...j,className:"token-line",style:void 0,key:void 0};return O!==void 0&&(F.style=O.plain),L!==void 0&&(F.style=F.style!==void 0?{...F.style,...L}:L),I!==void 0&&(F.key=I),N&&(F.className+=` ${N}`),F}getStyleForToken({types:R,empty:O}){const{themeDict:I}=this.state,N=R.length;if(I===void 0)return;if(N===1&&R[0]==="plain")return O?{display:"inline-block"}:void 0;if(N===1&&!O)return I[R[0]];const L=O?{display:"inline-block"}:{};for(const B of R){const j=I[B];Object.assign(L,j)}return L}getTokenProps(R){const{key:O,className:I,style:N,token:L,...B}=R,j={...B,className:`token ${L.types.join(" ")}`,children:L.content,style:this.getStyleForToken(L),key:void 0};return N!==void 0&&(j.style=j.style!==void 0?{...j.style,...N}:N),O!==void 0&&(j.key=O),I&&(j.className+=` ${I}`),j}}Cn(HighlightContent,"displayName","HighlightContent"),Cn(HighlightContent,"propTypes",{code:PropTypes$1.string.isRequired,codesRef:PropTypes$1.any,collapsed:PropTypes$1.bool.isRequired,language:PropTypes$1.string.isRequired,maxLines:PropTypes$1.number.isRequired,showLineno:PropTypes$1.bool.isRequired,theme:PropTypes$1.object.isRequired,highlightLinenos:PropTypes$1.array.isRequired,onLinenoWidthChange:PropTypes$1.func});class CodeHighlighter extends React.PureComponent{render(){const{lang:C,value:R,darken:O=!0,highlightLinenos:I=[],maxLines:N=-1,collapsed:L=!1,showLineNo:B=!0,codesRef:j,onLinenoWidthChange:F}=this.props,V=this.props.theme??(O?vscDarkTheme:vscLightTheme);return React.createElement(HighlightContent,{code:R,codesRef:j,collapsed:L,highlightLinenos:I,language:C??"",maxLines:N,showLineno:B,theme:V,onLinenoWidthChange:F})}}Cn(CodeHighlighter,"displayName","YozoraCodeHighlighter"),Cn(CodeHighlighter,"propTypes",{codesRef:PropTypes$1.any,collapsed:PropTypes$1.bool,darken:PropTypes$1.bool,highlightLinenos:PropTypes$1.arrayOf(PropTypes$1.number),lang:PropTypes$1.string,maxLines:PropTypes$1.number,onLinenoWidthChange:PropTypes$1.func,showLineNo:PropTypes$1.bool,theme:PropTypes$1.any,value:PropTypes$1.string.isRequired});const CopyButton$1=S=>{const{className:C,delay:R=1500,calcContentForCopy:O}=S,[I,N]=React.useState(0),L=useStyles$d(),B=I!==0,j=()=>{if(I===0){N(1);try{const F=O();copy$4(F),N(2)}catch{N(3)}}};return React.useEffect(()=>{if(I===2||I===3){const F=setTimeout(()=>N(0),R);return()=>{F&&clearTimeout(F)}}},[I,R]),jsxRuntimeExports.jsx(Button$2,{appearance:"transparent",className:mergeClasses(L.copyButton,C),disabled:B,as:"button",icon:I===0?jsxRuntimeExports.jsx(Copy20Regular,{}):jsxRuntimeExports.jsx(CopyArrowRight20Regular,{}),onClick:j})},useStyles$d=makeStyles({copyButton:{cursor:"pointer"}});class CodeRendererInner extends React.PureComponent{constructor(){super(...arguments),this.calcContentForCopy=()=>this.props.value}render(){const{calcContentForCopy:C}=this,{darken:R,lang:O,value:I,preferCodeWrap:N,showCodeLineno:L}=this.props;return jsxRuntimeExports.jsxs("code",{className:codeCls,"data-wrap":N,children:[jsxRuntimeExports.jsx(CodeHighlighter,{lang:O,value:I,collapsed:!1,showLineNo:L&&!N,darken:R}),jsxRuntimeExports.jsx("div",{className:copyBtnCls,children:jsxRuntimeExports.jsx(CopyButton$1,{calcContentForCopy:C})})]})}}const copyBtnCls=mergeStyles$1({position:"absolute",right:"4px",top:"4px",display:"none"}),codeCls=mergeStyles$1(astClasses.code,{position:"relative",display:"block",boxSizing:"border-box",borderRadius:"4px",margin:"0px 0px 1.25em 0px",backgroundColor:"var(--colorBgCode)",[`&:hover > .${copyBtnCls}`]:{display:"inline-block"},'&&[data-wrap="true"] > div':{whiteSpace:"pre-wrap",wordBreak:"keep-all"}}),CodeRenderer=S=>{const{lang:C}=S,R=S.value.replace(/[\r\n]+$/,""),{viewmodel:O}=useNodeRendererContext(),I=useStateValue(O.preferCodeWrap$),N=useStateValue(O.showCodeLineno$),B=useStateValue(O.themeScheme$)==="darken";return jsxRuntimeExports.jsx(CodeRendererInner,{darken:B,lang:C??"text",value:R,preferCodeWrap:I,showCodeLineno:N})};class DeleteRenderer extends React.Component{shouldComponentUpdate(C){return this.props.children!==C.children}render(){const C=this.props.children;return jsxRuntimeExports.jsx("del",{className:cls$9,children:jsxRuntimeExports.jsx(NodesRenderer,{nodes:C})})}}const cls$9=mergeStyles$1(astClasses.delete,{marginRight:"4px",color:"var(--colorDelete)",fontStyle:"italic",textDecoration:"line-through"});class EmphasisRenderer extends React.Component{shouldComponentUpdate(C){return this.props.children!==C.children}render(){const C=this.props.children;return jsxRuntimeExports.jsx("em",{className:cls$8,children:jsxRuntimeExports.jsx(NodesRenderer,{nodes:C})})}}const cls$8=mergeStyles$1(astClasses.emphasis,{fontStyle:"italic",margin:"0 6px 0 2px"});class HeadingRenderer extends React.Component{shouldComponentUpdate(C){const R=this.props;return R.depth!==C.depth||R.identifier!==C.identifier||R.children!==C.children||R.linkIcon!==C.linkIcon}render(){const{depth:C,identifier:R,children:O,linkIcon:I="¶"}=this.props,N=R==null?void 0:encodeURIComponent(R),L="h"+C,B=L,j=mergeStyles$1(astClasses.heading,classes$1.heading,classes$1[L]);return jsxRuntimeExports.jsxs(B,{id:N,className:j,children:[jsxRuntimeExports.jsx("p",{className:classes$1.content,children:jsxRuntimeExports.jsx(NodesRenderer,{nodes:O})}),R&&jsxRuntimeExports.jsx("a",{className:classes$1.anchor,href:"#"+N,children:I})]})}}const anchorCls=mergeStyles$1({flex:"0 0 3rem",paddingLeft:"0.5rem",color:"var(--colorLink)",opacity:0,transition:"color 0.2s ease-in-out, opacity 0.2s ease-in-out",userSelect:"none",textDecoration:"none","> svg":{overflow:"hidden",display:"inline-block",verticalAlign:"middle",fill:"currentColor"}}),classes$1=mergeStyleSets({heading:{display:"flex",alignItems:"center",justifyContent:"flex-start",padding:"0px",margin:"0px 0px 1.25em 0px",marginBottom:"1em",lineHeight:"1.25",fontFamily:"var(--fontFamilyHeading)",color:"var(--colorHeading)",[`&:active .${anchorCls}`]:{opacity:.8,color:"var(--colorLinkActive)"},[`&&:hover .${anchorCls}`]:{opacity:.8,color:"var(--colorLinkHover)"}},anchor:anchorCls,content:{flex:"0 1 auto",minWidth:0,margin:0,overflow:"hidden",textOverflow:"ellipsis",whiteSpace:"pre-wrap",lineHeight:"1.7"},h1:{padding:"0.3rem 0",borderBottom:"1px solid var(--colorBorderHeading)",fontSize:"2rem",fontStyle:"normal",fontWeight:500},h2:{padding:"0.3rem 0",borderBottom:"1px solid var(--colorBorderHeading)",fontSize:"1.5rem",fontStyle:"normal",fontWeight:500,marginBottom:"0.875rem"},h3:{fontSize:"1.25rem",fontStyle:"normal",fontWeight:500},h4:{fontSize:"1rem",fontStyle:"normal",fontWeight:500},h5:{fontSize:"0.875rem",fontStyle:"normal",fontWeight:500},h6:{fontSize:"0.85rem",fontStyle:"normal",fontWeight:500}});class ImageRendererInner extends React.Component{shouldComponentUpdate(C){const R=this.props;return R.src!==C.src||R.alt!==C.alt||R.title!==C.title||R.srcSet!==C.srcSet||R.sizes!==C.sizes||R.loading!==C.loading||R.className!==C.className}render(){const{src:C,alt:R,title:O,srcSet:I,sizes:N,loading:L,className:B}=this.props;return jsxRuntimeExports.jsxs("figure",{className:`${B} ${cls$7}`,children:[jsxRuntimeExports.jsx("img",{alt:R,src:C,title:O,srcSet:I,sizes:N,loading:L}),O&&jsxRuntimeExports.jsx("figcaption",{children:O})]})}}const cls$7=mergeStyles$1({boxSizing:"border-box",maxWidth:"80%",display:"flex",flexDirection:"column",alignItems:"center",margin:0,"> img":{flex:"1 0 auto",boxSizing:"border-box",maxWidth:"100%",border:"1px solid var(--colorBorderImage)",boxShadow:"0 0 20px 1px rgba(126, 125, 150, 0.6)"},"> figcaption":{textAlign:"center",fontStyle:"italic",fontSize:"1em",color:"var(--colorImageTitle)"}}),ImageRenderer=S=>{const{url:C,alt:R,title:O,srcSet:I,sizes:N,loading:L}=S;return jsxRuntimeExports.jsx(ImageRendererInner,{alt:R,src:C,title:O,srcSet:I,sizes:N,loading:L,className:astClasses.image})},ImageReferenceRenderer=S=>{const{viewmodel:C}=useNodeRendererContext(),R=useStateValue(C.definitionMap$),{alt:O,srcSet:I,sizes:N,loading:L}=S,B=R[S.identifier],j=(B==null?void 0:B.url)??"",F=B==null?void 0:B.title;return jsxRuntimeExports.jsx(ImageRendererInner,{alt:O,src:j,title:F,srcSet:I,sizes:N,loading:L,className:astClasses.imageReference})};class InlineCodeRenderer extends React.Component{shouldComponentUpdate(C){return this.props.value!==C.value}render(){return jsxRuntimeExports.jsx("code",{className:cls$6,children:this.props.value})}}const cls$6=mergeStyles$1(astClasses.inlineCode,{padding:"1px 4px",borderRadius:"4px",margin:0,background:"hsla(210deg, 15%, 60%, 0.15)",lineHeight:"1.375",color:"var(--colorInlineCode)",fontFamily:"var(--fontFamilyCode)",fontSize:"min(1rem, 18px)",fontWeight:500});class LinkRendererInner extends React.Component{shouldComponentUpdate(C){const R=this.props;return R.url!==C.url||R.title!==C.title||R.childNodes!==C.childNodes||R.className!==C.className}render(){const{url:C,title:R,childNodes:O,className:I}=this.props;return jsxRuntimeExports.jsx("a",{className:mergeStyles$1(cls$5,I),href:C,title:R,rel:"noopener, noreferrer",target:"_blank",children:jsxRuntimeExports.jsx(NodesRenderer,{nodes:O})})}}const cls$5=mergeStyles$1({padding:"0.2rem 0",color:"var(--colorLink)",textDecoration:"none",background:"linear-gradient(90deg, hsla(358deg, 100%, 62%, 0.8), hsla(048deg, 100%, 50%, 0.8), hsla(196deg, 100%, 53%, 0.8))",backgroundSize:"0 3px",backgroundRepeat:"no-repeat",backgroundPosition:"50% 100%",transition:"all 0.3s ease-in-out","&:active":{color:"var(--colorLinkActive)"},"&&:hover":{color:"var(--colorLinkHover)",backgroundSize:"100% 3px",backgroundPositionX:0},"&:visited":{color:"var(--colorLinkVisited)"}}),LinkRenderer=S=>{const{url:C,title:R,children:O}=S;return jsxRuntimeExports.jsx(LinkRendererInner,{url:C,title:R,childNodes:O,className:astClasses.link})},LinkReferenceRenderer=S=>{const{viewmodel:C}=useNodeRendererContext(),O=useStateValue(C.definitionMap$)[S.identifier],I=(O==null?void 0:O.url)??"",N=O==null?void 0:O.title;return jsxRuntimeExports.jsx(LinkRendererInner,{url:I,title:N,childNodes:S.children,className:astClasses.linkReference})};class ListRenderer extends React.Component{shouldComponentUpdate(C){const R=this.props;return R.ordered!==C.ordered||R.orderType!==C.orderType||R.start!==C.start||R.children!==C.children}render(){const{ordered:C,orderType:R,start:O,children:I}=this.props;return C?jsxRuntimeExports.jsx("ol",{className:cls$4,type:R,start:O,children:jsxRuntimeExports.jsx(NodesRenderer,{nodes:I})}):jsxRuntimeExports.jsx("ul",{className:cls$4,children:jsxRuntimeExports.jsx(NodesRenderer,{nodes:I})})}}const cls$4=mergeStyles$1(astClasses.list,{padding:"0px",margin:"0 0 1em 2em",lineHeight:"2","> :last-child":{marginBottom:"0px"}});class ListItemRenderer extends React.Component{shouldComponentUpdate(C){return this.props.children!==C.children}render(){const C=this.props.children;return jsxRuntimeExports.jsx("li",{className:cls$3,children:jsxRuntimeExports.jsx(NodesRenderer,{nodes:C})})}}const 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function(R,O){for(var I=R.length,N=[],L=0,B=S[0],j=0;I>0&&B>0&&(j+B+1>O&&(B=Math.max(1,O-j)),N.push(R.substring(I-=B,I+B)),!((j+=B+1)>O));)B=S[L=(L+1)%S.length];return N.reverse().join(C)}}function formatNumerals(S){return function(C){return C.replace(/[0-9]/g,function(R){return S[+R]})}}var re=/^(?:(.)?([<>=^]))?([+\-( ])?([$#])?(0)?(\d+)?(,)?(\.\d+)?(~)?([a-z%])?$/i;function formatSpecifier(S){if(!(C=re.exec(S)))throw new Error("invalid format: "+S);var C;return new FormatSpecifier({fill:C[1],align:C[2],sign:C[3],symbol:C[4],zero:C[5],width:C[6],comma:C[7],precision:C[8]&&C[8].slice(1),trim:C[9],type:C[10]})}formatSpecifier.prototype=FormatSpecifier.prototype;function FormatSpecifier(S){this.fill=S.fill===void 0?" 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C=S.grouping===void 0||S.thousands===void 0?identity$4:formatGroup(map$2.call(S.grouping,Number),S.thousands+""),R=S.currency===void 0?"":S.currency[0]+"",O=S.currency===void 0?"":S.currency[1]+"",I=S.decimal===void 0?".":S.decimal+"",N=S.numerals===void 0?identity$4:formatNumerals(map$2.call(S.numerals,String)),L=S.percent===void 0?"%":S.percent+"",B=S.minus===void 0?"−":S.minus+"",j=S.nan===void 0?"NaN":S.nan+"";function F(K){K=formatSpecifier(K);var W=K.fill,X=K.align,J=K.sign,oe=K.symbol,pe=K.zero,me=K.width,xe=K.comma,Ae=K.precision,ge=K.trim,Te=K.type;Te==="n"?(xe=!0,Te="g"):formatTypes[Te]||(Ae===void 0&&(Ae=12),ge=!0,Te="g"),(pe||W==="0"&&X==="=")&&(pe=!0,W="0",X="=");var we=oe==="$"?R:oe==="#"&&/[boxX]/.test(Te)?"0"+Te.toLowerCase():"",ke=oe==="$"?O:/[%p]/.test(Te)?L:"",Be=formatTypes[Te],Ie=/[defgprs%]/.test(Te);Ae=Ae===void 0?6:/[gprs]/.test(Te)?Math.max(1,Math.min(21,Ae)):Math.max(0,Math.min(20,Ae));function je(Ke){var 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X(oe*me)+pe}}return{format:F,formatPrefix:V}}var locale$1,format$1,formatPrefix;defaultLocale$1({thousands:",",grouping:[3],currency:["$",""]});function defaultLocale$1(S){return locale$1=formatLocale$1(S),format$1=locale$1.format,formatPrefix=locale$1.formatPrefix,locale$1}function precisionFixed(S){return Math.max(0,-exponent(Math.abs(S)))}function precisionPrefix(S,C){return Math.max(0,Math.max(-8,Math.min(8,Math.floor(exponent(C)/3)))*3-exponent(Math.abs(S)))}function precisionRound(S,C){return S=Math.abs(S),C=Math.abs(C)-S,Math.max(0,exponent(C)-exponent(S))+1}function formatInt(S){return Math.abs(S)<1e6?format$1(",")(S):format$1("0.2s")(S)}function formatFloat(S){const C=Math.abs(S);return C===0?"0.00":C<.01?format$1(".2e")(S):C<1e3?format$1("0.2f")(S):format$1("0.2s")(S)}function formatNumber(S){return Number.isInteger(S)?formatInt(S):formatFloat(S)}function createNumberFormatter(S){return C=>typeof C!="number"?"--":S(C)}const intFormatter=createNumberFormatter(formatInt),floatFormatter=createNumberFormatter(formatFloat),numberFormatter=createNumberFormatter(formatNumber),timeFormat$1=S=>S?new Date(S).toLocaleString([],{year:"numeric",month:"2-digit",day:"2-digit",hour:"2-digit",minute:"2-digit",second:"2-digit"}):"--",LatencyText=({startTimeISOString:S,endTimeISOString:C,textSize:R,tipTextSize:O})=>{const I=useClasses$g(),N=S?new Date(S):void 0,L=C?new Date(C):void 0,B=N&&L?L.getTime()-N.getTime():void 0,j=reactExports.useMemo(()=>B===void 0?"N/A":B===0?"0 ms":B<10?formatFloat(B)+"ms":formatFloat(B/1e3)+"s",[B]);return jsxRuntimeExports.jsx(Tooltip$1,{content:jsxRuntimeExports.jsxs(jsxRuntimeExports.Fragment,{children:[jsxRuntimeExports.jsx(Text$2,{size:O,weight:"bold",block:!0,children:"Start Time"}),jsxRuntimeExports.jsx(Text$2,{size:O,block:!0,children:timeFormat$1(S)}),jsxRuntimeExports.jsx(Text$2,{size:O,weight:"bold",block:!0,children:"End Time"}),jsxRuntimeExports.jsx(Text$2,{size:O,block:!0,children:timeFormat$1(C)})]}),relationship:"label",children:jsxRuntimeExports.jsxs("div",{className:I.wrapper,children:[jsxRuntimeExports.jsx(Clock20Regular,{}),jsxRuntimeExports.jsx(Text$2,{size:R,children:j})]})})},useClasses$g=makeStyles({wrapper:{display:"inline-flex",flexDirection:"row",alignItems:"center","> svg":{marginRight:"5px"}}});function StatusText({statusCode:S,showText:C=!1,textSize:R,tooltipContent:O}){const I=useClasses$f(),[N,L]=reactExports.useMemo(()=>{switch(S==null?void 0:S.toLowerCase()){case"ok":return[jsxRuntimeExports.jsx(CheckmarkCircle20Regular,{},"ok"),tokens.colorPaletteGreenForeground1];case"error":return[jsxRuntimeExports.jsx(DismissCircle20Regular,{},"error"),tokens.colorPaletteRedForeground1];case"unset":return[jsxRuntimeExports.jsx(ErrorCircle20Regular,{},"unset"),tokens.colorPaletteYellowForeground1];default:return[UNDEFINED_VALUE_PLACEHOLDER,tokens.colorPaletteYellowForeground1]}},[S]);return jsxRuntimeExports.jsx(Tooltip$1,{content:O??S??"",relationship:"label",children:jsxRuntimeExports.jsxs("div",{className:I.wrapper,style:{color:L},children:[N,C&&jsxRuntimeExports.jsx(Text$2,{size:R,children:S})]})})}const useClasses$f=makeStyles({wrapper:{display:"inline-flex",flexDirection:"row",alignItems:"center",justifyContent:"center","> svg":{marginRight:"5px"}}});function TimeText({time:S}){const C=timeFormat$1(S);return jsxRuntimeExports.jsx("time",{children:C})}function TokenText({token:S,info:C}){const R=useClasses$e(),O=typeof S=="number"?intFormatter(S):S;return jsxRuntimeExports.jsxs("div",{className:R.wrapper,children:[jsxRuntimeExports.jsx(NumberCircle020Regular,{}),C?jsxRuntimeExports.jsx(Tooltip$1,{content:C,relationship:"description",children:jsxRuntimeExports.jsx("div",{style:{lineHeight:"30px",marginLeft:-24,paddingLeft:24},children:O})}):jsxRuntimeExports.jsx(Text$2,{children:O})]})}const useClasses$e=makeStyles({wrapper:{display:"inline-flex",flexDirection:"row",alignItems:"center","> svg":{marginRight:"5px"}}}),CellWrapper=({children:S})=>{const C=useClasses$d();return jsxRuntimeExports.jsx("div",{className:C.cellWrapper,children:S})},TextCellWrapper=({children:S})=>{const C=useClasses$d();return jsxRuntimeExports.jsx("div",{className:C.textCellWrapper,children:jsxRuntimeExports.jsx("p",{className:C.textCellP,children:S})})},useClasses$d=makeStyles({cellWrapper:{display:"flex",flexDirection:"row",alignItems:"center",height:"100%"},textCellWrapper:{display:"flex",flexDirection:"row",alignItems:"center",height:"100%",width:"100%"},textCellP:{wordWrap:"break-word",maxWidth:"100%",lineHeight:tokens.lineHeightBase200,fontSize:tokens.fontSizeBase300,maxHeight:"100%",whiteSpace:"normal",...shorthands.padding(tokens.spacingVerticalS,tokens.spacingHorizontalXS)}}),isValidJson=S=>{if(typeof S=="string")return!1;try{return JSON.stringify(S),!0}catch{return!1}},TraceListJsonCell=({jsonObject:S,isViewDetailEnabled:C=!1})=>{const R=isValidJson(S);return jsxRuntimeExports.jsx(CellWrapper,{children:R?jsxRuntimeExports.jsx(TraceListObjectCell,{object:S,isViewDetailEnabled:C}):jsxRuntimeExports.jsx(TextCellWrapper,{children:formatText(String(S))})})},TraceListObjectCell=({object:S,isViewDetailEnabled:C})=>{const R=useIsDark();return C?jsxRuntimeExports.jsxs(Dialog,{children:[jsxRuntimeExports.jsx(DialogTrigger,{children:jsxRuntimeExports.jsx("div",{style:{overflow:"hidden",height:"100%",width:"100%",marginTop:"12px",lineHeight:"16px"},children:jsxRuntimeExports.jsx(JsonView,{src:S,enableClipboard:!1,collapsed:1,dark:R,theme:"vscode"})})}),jsxRuntimeExports.jsx(DialogSurface,{children:jsxRuntimeExports.jsx("div",{style:{height:"800px",width:"800ppx",marginTop:"12px",lineHeight:"16px",overflow:"auto"},children:jsxRuntimeExports.jsx(JsonView,{src:S,enableClipboard:!0,collapseStringsAfterLength:200,dark:R,theme:"vscode"})})})]}):jsxRuntimeExports.jsx("div",{style:{overflow:"hidden",height:"100%",width:"100%",marginTop:"12px",lineHeight:"16px"},children:jsxRuntimeExports.jsx(JsonView,{src:S,enableClipboard:!1,collapseStringsAfterLength:50,collapsed:1,dark:R,theme:"vscode"})})},MAX_LENGTH=80;function formatText(S){return S.length>MAX_LENGTH?`${S.slice(0,MAX_LENGTH)}...`:S}const useClasses$c=makeStyles({grid:{},row:{cursor:"pointer"},nameCell:{color:tokens.colorBrandForeground1,fontWeight:tokens.fontWeightSemibold,":hover":{...shorthands.textDecoration("underline")}},kindCell:{display:"flex",alignItems:"center",justifyContent:"flex-start",height:"100%",...shorthands.gap("4px")}}),EvaluationTracesList=({evaluationSpans:S,className:C})=>{const R=useClasses$c(),O=useIsDark(),{rows:I,toggleSubRows:N,isRowExpanded:L}=useEvaluationTracesListRow(S),B=useLocStrings();return jsxRuntimeExports.jsx(DataGrid$1$1,{className:`${mergeStyles$1(R.grid,C)} ${O?"rdg-dark":"rdg-light"}`,rowClass:()=>R.row,columns:[{key:"kind",name:B.Kind,minWidth:150,maxWidth:300,renderCell:({row:j})=>{var V,K,W;const F=((V=j==null?void 0:j.children)==null?void 0:V.length)>0;return jsxRuntimeExports.jsxs("div",{className:R.kindCell,style:{paddingLeft:j.depth*16+(F?0:20)},children:[F&&jsxRuntimeExports.jsx(CellExpander,{isExpanded:L((K=j==null?void 0:j.context)==null?void 0:K.span_id),onToggle:()=>{var X,J;(X=j==null?void 0:j.context)!=null&&X.span_id&&N((J=j==null?void 0:j.context)==null?void 0:J.span_id)}}),jsxRuntimeExports.jsx(KindText,{kind:(W=j.attributes)==null?void 0:W.span_type})]})}},{key:"name",name:B.Name,minWidth:150,maxWidth:300,renderCell:({row:j})=>jsxRuntimeExports.jsx(Tooltip$1,{content:j.name??"",relationship:"label",children:jsxRuntimeExports.jsx("span",{className:R.nameCell,title:j.name,children:j.name})})},{key:"input",name:B.Input,minWidth:200,renderCell:({row:j})=>{var F;return jsxRuntimeExports.jsx(TraceListJsonCell,{isViewDetailEnabled:!0,jsonObject:JSON.parse(((F=j.attributes)==null?void 0:F.inputs)??"{}")})}},{key:"output",name:B.Output,minWidth:200,renderCell:({row:j})=>{var F;return jsxRuntimeExports.jsx(TraceListJsonCell,{isViewDetailEnabled:!0,jsonObject:JSON.parse(((F=j.attributes)==null?void 0:F.output)??"{}")})}},{key:"start_time",name:B.Start_time,minWidth:150,renderCell:({row:j})=>jsxRuntimeExports.jsx(CellWrapper,{children:jsxRuntimeExports.jsx(TimeText,{time:j.start_time})})},{key:"end_time",name:B.End_time,minWidth:150,renderCell:({row:j})=>jsxRuntimeExports.jsx(CellWrapper,{children:jsxRuntimeExports.jsx(TimeText,{time:j.end_time})})},{key:"latency",name:B.Latency,minWidth:120,renderCell:({row:j})=>jsxRuntimeExports.jsx(CellWrapper,{children:jsxRuntimeExports.jsx(LatencyText,{startTimeISOString:j.start_time,endTimeISOString:j.end_time})})},{key:"total_tokens",name:B.Total_tokens,minWidth:120,renderCell:({row:j})=>{var F;return jsxRuntimeExports.jsx(CellWrapper,{children:jsxRuntimeExports.jsx(TokenText,{token:Number.parseInt(((F=j.attributes)==null?void 0:F["__computed__.cumulative_token_count.total"])??"0")})})}},{key:"status",name:B.Status,minWidth:120,renderCell:({row:j})=>{var F;return jsxRuntimeExports.jsx(CellWrapper,{children:jsxRuntimeExports.jsx(StatusText,{statusCode:(F=j.status)==null?void 0:F.status_code})})}}],rows:I,headerRowHeight:26,rowHeight:80,defaultColumnOptions:{resizable:!0}})},MetricTag=({tag:S})=>{const C=useClasses$b(),R=reactExports.useMemo(()=>typeof S.value=="number"?formatNumber(S.value):S.value,[S.value]);return jsxRuntimeExports.jsxs(Badge$2,{className:C.wrapper,size:"medium",shape:"rounded",appearance:"outline",children:[jsxRuntimeExports.jsxs("span",{className:C.name,children:[S.name," "]}),jsxRuntimeExports.jsx("span",{className:C.data,children:R})]})},useClasses$b=makeStyles({wrapper:{display:"inline-flex",fontSize:"12px",...shorthands.padding("0px","8px","1px"),...shorthands.borderColor(tokens.colorPaletteGreenBorder2),...shorthands.gap("0.5rem")},name:{color:tokens.colorPaletteGreenBorder2,fontWeight:tokens.fontWeightRegular},data:{color:tokens.colorNeutralForeground1,fontWeight:tokens.fontWeightRegular}}),EvaluationsTab=()=>{var j,F,V;const S=useClasses$a(),C=useEvaluationSpansOfSelectedSpan(),[R,O]=reactExports.useState((j=C[0])==null?void 0:j.evaluationName),I=((F=C.find(K=>K.evaluationName===R))==null?void 0:F.evaluationTraces)??[],N=useSelectedTrace(),L=(N==null?void 0:N.evaluations)??{},B=((V=L[R??""])==null?void 0:V.outputs)??{};return jsxRuntimeExports.jsxs(Card,{style:{height:"100%"},children:[jsxRuntimeExports.jsx(CardHeader,{header:jsxRuntimeExports.jsx(TabList,{selectedValue:R,onTabSelect:(K,W)=>{O(W.value)},children:C.map(K=>jsxRuntimeExports.jsx(Tab$1,{value:K.evaluationName,children:K.evaluationName},K.evaluationName))})}),jsxRuntimeExports.jsxs("div",{className:S.wrapper,children:[R&&L[R]&&Object.keys(B).map(K=>{const W=B[K];return W?jsxRuntimeExports.jsx(MetricTag,{tag:{name:K,value:W}},K):null}),jsxRuntimeExports.jsx(EvaluationTracesList,{evaluationSpans:I,className:S.grid})]})]})},useClasses$a=makeStyles({wrapper:{display:"flex",flexDirection:"column",height:"100%",...shorthands.gap("8px")},grid:{flexGrow:1}}),useMessageCardClasses=makeStyles({card:{...shorthands.borderRadius("8px"),...shorthands.borderColor(tokens.colorNeutralStroke1),...shorthands.borderWidth("1px"),...shorthands.borderStyle("solid"),...shorthands.padding("16px"),...shorthands.margin("16px")}}),LLMNodeInvocationParametersTab=({invocationParameters:S})=>{const C=useMessageCardClasses();return jsxRuntimeExports.jsx(Card,{className:C.card,children:jsxRuntimeExports.jsx(JsonView,{src:S})})};var ChatMessageCategory=(S=>(S.System="system",S.Error="error",S.Chatbot="chatbot",S.User="user",S))(ChatMessageCategory||{}),ChatMessageType=(S=>(S.Message="message",S.SessionSplit="session-split",S))(ChatMessageType||{});const defaultLocStrings$1={CopyToClipboard:"Copy to clipboard",CopyToClipboard_Copying:"Copying...",CopyToClipboard_Copied:"Copied!",CopyToClipboard_Failed:"Failed!",Header_Clear:"Click to clear all chat histories",Header_Close:"Click to close chat box",Header_EnterFullScreen:"Click to enter full screen mode",Header_ExitFullScreen:"Click to exit full screen mode",Header_Title:"Chat",Input_Placeholder:"Input anything to test...",MessageError_HideDetail:"Hide Detail",MessageError_ShowDetail:"Show Detail",MessageStatus_TimeSpentDesc:"time spent",MessageStatus_TimeSpentDscCapitalized:"Time spent",MessageStatus_TimeSpent_Unit:"sec",MessageStatus_TokensDesc:"Total tokens for generating this",MessageStatus_TokensUint:"tokens",SessionSplit_Desc:"Your session start from here.",Tooltip_Bottom:"Only default variants will be used for chat, if you want to test variants please try bulk test. For chatbot and test app bot, it will only show the chat output.",Tooltip_TotalTokens:"Total tokens",Typing:"Generating chat output for you"};class ChatboxViewModel{constructor(C){this.calcContentForCopy=K=>this.calcContentForCopy$.getSnapshot()(K),this.monitorInputContentChange=K=>this.inputContentChangeTick$.subscribeStateChange(K),this.notifyInputContentChange=()=>{this.inputContentChangeTick$.setState(K=>K+1)},this.sendMessage=K=>{const W=this.editorRef.current;if(!W){console.log("!!!editorRef is not mounted.");return}const X=K??W.getContent(),J=this.sendMessage$.getSnapshot(),pe=this.makeUserMessage$.getSnapshot()(X);this.messages$.setState(me=>[...me,pe]),W.clear(),this.isOthersTyping$.next(!0),J(X,this,pe).then(me=>{me!==void 0&&this.messages$.setState(xe=>[...xe,me])}).finally(()=>{this.isOthersTyping$.next(!1)})},this.setCalcContentForCopy=K=>{this.calcContentForCopy$.next(K)},this.setMakeUserMessage=K=>{this.makeUserMessage$.next(K)},this.setSendMessage=K=>{this.sendMessage$.next(K)},this.sessionSplit=K=>{const W={id:uuid_1.v4(),type:ChatMessageType.SessionSplit,history:[{category:ChatMessageCategory.System,from:"system",content:K??"",timestamp:new Date().toISOString()}]};return this.messages$.setState(X=>[...X,W]),W};const{alias:R="",initialDisabled:O=!1,initialMessages:I=[],locStrings:N=defaultLocStrings$1,calcContentForCopy:L=K=>typeof K.content=="string"?K.content:JSON.stringify(K.content),makeUserMessage:B=K=>({id:uuid_1.v4(),type:ChatMessageType.Message,history:[{category:ChatMessageCategory.User,from:this.alias$.getSnapshot(),timestamp:new Date().toISOString(),content:K}]}),sendMessage:j=async K=>({id:uuid_1.v4(),type:ChatMessageType.Message,history:[{category:ChatMessageCategory.Chatbot,from:"chatbot",timestamp:new Date().toISOString(),content:K}]})}=C;this.editorRef={current:null};const F=new State(0),V=Computed.fromObservables([F],()=>{var K;return(K=this.editorRef.current)==null?void 0:K.isEmpty()});this.alias$=new State(R),this.disabled$=new State(O),this.inputContentChangeTick$=F,this.isEditorEmpty$=V,this.isOthersTyping$=new State(!1),this.locStrings$=new State(N),this.messages$=new State(I),this.calcContentForCopy$=new State(L),this.makeUserMessage$=new State(B),this.sendMessage$=new State(j)}}const viewmodel=new ChatboxViewModel({sendMessage:()=>Promise.resolve({id:Date.now(),type:ChatMessageType.Message,history:[{category:ChatMessageCategory.System,from:"system",timestamp:new Date().toISOString(),content:"sendMessage not implemented!"}]})});React.createContext({viewmodel});function useEventCallback$1(S){const C=reactExports.useRef(S);return reactExports.useLayoutEffect(()=>{C.current=S}),reactExports.useCallback((...R)=>{const O=C.current;return O(...R)},[])}const CopyButton=S=>{const{pendingText:C,copyingText:R,copiedText:O,failedText:I,calcContentForCopy:N,className:L,delay:B=1500}=S,[j,F]=React.useState(0),V=useStyles$c(),K=j===0?C:j===1?R:j===2?O:j===3?I:"",W=j!==0,X=useEventCallback$1(()=>{if(j===0){F(1);try{const J=N();copy$4(J),F(2)}catch{F(3)}}});return React.useEffect(()=>{if(j===2||j===3){const J=setTimeout(()=>F(0),B);return()=>{J&&clearTimeout(J)}}},[j,B]),jsxRuntimeExports.jsx(Tooltip$1,{relationship:"label",withArrow:!0,content:K,children:jsxRuntimeExports.jsx(Button$2,{appearance:"transparent",className:mergeClasses(V.copyButton,L),disabled:W,as:"button",icon:j===0?jsxRuntimeExports.jsx(Copy20Regular,{}):jsxRuntimeExports.jsx(CopyArrowRight20Regular,{}),onClick:X})})};CopyButton.displayName="CopyButton";const useStyles$c=makeStyles({copyButton:{cursor:"pointer"}}),defaultUploadPopoverLocStrings={Add:"Add",AddAnImage:"Add an image",PasteImageOrLinkHere:"Paste image or link here",UploadFromThisDevice:"Upload from this device"},ImageView=S=>{const{src:C,alt:R,loading:O=!1,width:I,height:N,styles:L}=S;return C?O?jsxRuntimeExports.jsx("div",{children:"Loading..."}):jsxRuntimeExports.jsx("div",{className:L==null?void 0:L.root,children:jsxRuntimeExports.jsx("img",{className:L==null?void 0:L.image,src:C,alt:R,width:I,height:N})}):jsxRuntimeExports.jsx("div",{children:"This image can not be previewed."})},ImageViewModal=S=>{const{src:C,alt:R,visible:O,loading:I=!1,width:N,height:L,onDismiss:B}=S,j=useStyles$b(),F=jsxRuntimeExports.jsxs("div",{className:j.container,children:[jsxRuntimeExports.jsxs("div",{className:j.header,children:[jsxRuntimeExports.jsx("h2",{className:j.heading,children:"Preview"}),jsxRuntimeExports.jsx(Button$2,{as:"button",appearance:"transparent",icon:jsxRuntimeExports.jsx(Dismiss24Regular,{}),className:j.dismissBtn,onClick:B})]}),jsxRuntimeExports.jsx("div",{className:j.main,children:jsxRuntimeExports.jsx(ImageView,{src:C,alt:R,loading:I,width:N,height:L,styles:{image:j.image}})})]});return jsxRuntimeExports.jsx(Modal,{isOpen:O,isBlocking:!1,onDismiss:B,children:F})},useStyles$b=makeStyles({container:{display:"flex",flexDirection:"column",flexWrap:"nowrap",...shorthands.padding("16px")},header:{...shorthands.flex(0,0,"auto"),display:"flex",flexDirection:"row",flexWrap:"nowrap",justifyContent:"space-between",marginBottom:"20px"},heading:{...shorthands.margin(0),fontWeight:FontWeights.semibold,fontSize:"inherit"},dismissBtn:{"&&":{fontSize:"16px",lineHeight:"16px",height:"16px",width:"16px",color:tokens.colorNeutralStroke1}},main:{...shorthands.overflow("auto"),display:"flex",justifyContent:"center",alignItems:"center"},image:{width:"auto",height:"auto",maxWidth:"60vw",maxHeight:"60vh"}}),IMAGE_WIDTH="48px",MASK_SELECTOR_CLASS_NAME="__MASK_SELECTOR_CLASS_NAME__",UploadPopoverImagePreview=S=>{const{image:C,alt:R,isReadonly:O,onClickDelete:I}=S,[N,L]=React.useState(!1),B=useStyles$a(),j=React.useMemo(()=>{if(C)return typeof C=="string"?C:URL.createObjectURL(C)},[C]),F=React.useCallback(()=>{L(K=>!K)},[]),V=j||"";return jsxRuntimeExports.jsxs("div",{className:mergeClasses(B.root,O?B.readonlyRoot:void 0),children:[jsxRuntimeExports.jsxs("div",{className:B.imageContainer,children:[jsxRuntimeExports.jsx("img",{decoding:"async",className:B.image,src:V,alt:R}),jsxRuntimeExports.jsx("div",{"aria-hidden":!0,className:mergeClasses(B.mask,MASK_SELECTOR_CLASS_NAME),onClick:F,role:"button",children:jsxRuntimeExports.jsx(ZoomIn20Regular,{})})]}),!O&&jsxRuntimeExports.jsx(Button$2,{as:"button",className:B.closeButton,icon:jsxRuntimeExports.jsx(Dismiss20Regular,{}),onClick:I}),jsxRuntimeExports.jsx(ImageViewModal,{src:V,alt:R||"",visible:N,onDismiss:F})]})},useStyles$a=makeStyles({root:{boxSizing:"border-box",display:"flex",height:"32px",width:"80px",...shorthands.border("1px","solid",tokens.colorNeutralStroke2),...shorthands.borderRadius("4px")},readonlyRoot:{width:"48px"},imageContainer:{position:"relative",display:"flex",alignItems:"center",justifyContent:"center",width:IMAGE_WIDTH,[`:hover .${MASK_SELECTOR_CLASS_NAME}`]:{visibility:"visible"}},image:{maxWidth:"100%",maxHeight:"100%",width:"auto",height:"auto"},mask:{visibility:"hidden",cursor:"pointer",position:"absolute",top:0,left:0,width:`calc(${IMAGE_WIDTH} - 2px)`,height:"100%",backgroundColor:"rgba(0, 0, 0, 0.5)",display:"flex",alignItems:"center",justifyContent:"center",color:tokens.colorNeutralForegroundStaticInverted,...shorthands.borderRadius("4px",0,0,"4px")},closeButton:{width:"32px",...shorthands.border(0)}}),UploadPopoverTrigger=React.forwardRef((S,C)=>jsxRuntimeExports.jsx(Button$2,{...S,ref:C,as:"button",appearance:"transparent",size:"medium",icon:jsxRuntimeExports.jsx(Attach16Regular,{})}));UploadPopoverTrigger.displayName="UploadPopoverTrigger";const mergeStyleSlots=(S,...C)=>{const R={...S};for(const O of Object.keys(S))R[O]=mergeClasses(S[O],...C.map(I=>I==null?void 0:I[O]));return R},UploadPopover=React.forwardRef(({isUploading:S,disabled:C,trigger:R=jsxRuntimeExports.jsx(UploadPopoverTrigger,{}),locStrings:O=defaultUploadPopoverLocStrings,styles:I,events:N,onUpload:L,onRenderImagePreview:B},j)=>{const F=mergeStyleSlots(useStyles$9(),I),{onDelete:V,onInputBlur:K,onPaste:W,onLocalUpload:X}=N??{};React.useImperativeHandle(j,()=>({open(){oe(!0)},close(){oe(!1)},reset:()=>{we()},retrieve:()=>xe}));const[J,oe]=React.useState(!1),[pe,me]=React.useState(""),[xe,Ae]=React.useState(void 0),ge=React.useRef(null),Te=React.useCallback((Je,Xe)=>{oe(Xe.open||!1)},[]),we=React.useCallback(()=>{me(""),Ae(void 0),ge.current&&(ge.current.value="")},[]),ke=React.useCallback(Je=>{const Xe=Je[0];Ae(Xe),W==null||W(Xe)},[W]),Be=React.useCallback(Je=>{Je.clipboardData.files&&ke&&ke(Je.clipboardData.files)},[ke]),Ie=React.useCallback(()=>{K==null||K(pe),Ae(pe)},[pe,K]),je=React.useCallback(()=>{xe&&L(xe)},[xe,L]),Ke=React.useMemo(()=>B?B({cachedImage:xe,customerInputContent:pe,isReadonly:C||S||!1}):jsxRuntimeExports.jsx(UploadPopoverImagePreview,{image:xe||pe,alt:pe||"",isReadonly:S,onClickDelete:()=>{we(),V==null||V()}}),[pe,xe,we,C,S,V,B]);return jsxRuntimeExports.jsxs(Popover,{positioning:"above-end",open:J,onOpenChange:Te,children:[jsxRuntimeExports.jsx(PopoverTrigger,{disableButtonEnhancement:!0,children:R}),jsxRuntimeExports.jsxs(PopoverSurface,{className:F.attachUploadPopover,children:[jsxRuntimeExports.jsxs("div",{className:F.attachUploadHeader,children:[jsxRuntimeExports.jsx("span",{children:O.AddAnImage}),jsxRuntimeExports.jsx(Button$2,{as:"button",disabled:C,appearance:"transparent",icon:jsxRuntimeExports.jsx(Dismiss24Regular,{}),onClick:()=>{oe(!1)}})]}),jsxRuntimeExports.jsxs("div",{className:F.attachUploadInputWrapper,children:[xe?Ke:jsxRuntimeExports.jsx(Input,{className:F.attachUploadInput,value:pe,disabled:C,placeholder:O.PasteImageOrLinkHere,onChange:(Je,Xe)=>{Ae(void 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DefaultMessageSenderRenderer(S){const{data:C,position:R,className:O}=S,I=useStyles$6(),N=C.timestamp?dayjs(C.timestamp).format("h:mm A"):null;return C.category===ChatMessageCategory.System?jsxRuntimeExports.jsx(jsxRuntimeExports.Fragment,{}):jsxRuntimeExports.jsxs("div",{className:mergeClasses(I.container,O),"data-position":R,children:[jsxRuntimeExports.jsx("span",{className:I.name,"data-position":R,children:C.from}),N&&jsxRuntimeExports.jsx("span",{className:I.time,children:N})]})}DefaultMessageSenderRenderer.displayName="DefaultMessageSenderRenderer";const useStyles$6=makeStyles({container:{display:"flex",flexWrap:"nowrap",alignItems:"center",justifyContent:"flex-start",fontSize:"0.75rem",'&&[data-position="right"]':{justifyContent:"flex-end"},color:tokens.colorNeutralForeground3},name:{...shorthands.margin("0px","6px","0px","0px"),'&&[data-position="right"]':{...shorthands.margin("0px"),display:"none"}},time:{}}),DefaultMessageStatusRenderer=S=>{const{duration:C,tokens:R,locStrings:O,className:I}=S,N=C.toFixed(2).replace(/\.?0*$/,"");return jsxRuntimeExports.jsxs("div",{className:I,children:[R>0&&jsxRuntimeExports.jsxs(React.Fragment,{children:[`${O.MessageStatus_TokensDesc}: `,jsxRuntimeExports.jsx("b",{children:R}),` ${O.MessageStatus_TokensUint}, `]}),`${R>0?O.MessageStatus_TimeSpentDesc:O.MessageStatus_TimeSpentDscCapitalized}: `,jsxRuntimeExports.jsx("b",{children:N}),` ${O.MessageStatus_TimeSpent_Unit}`]})};DefaultMessageStatusRenderer.displayName="DefaultMessageStatusRenderer";const EMPTY_CONTEXTUAL_MENU_ITEMS=[],defaultUseContextualMenuItems=S=>EMPTY_CONTEXTUAL_MENU_ITEMS;function DefaultMessageBubbleRenderer(S){const{MessageAvatarRenderer:C,MessageContentRenderer:R=DefaultMessageContentRenderer,MessageErrorRenderer:O=DefaultMessageErrorRenderer,MessagePaginationRenderer:I=DefaultMessagePaginationRenderer,MessageSenderRenderer:N=DefaultMessageSenderRenderer,MessageStatusRenderer:L=DefaultMessageStatusRenderer,useMessageContextualMenuItems:B=defaultUseContextualMenuItems,locStrings:j,message:F,className:V}=S,K=useStyles$5(),[W,X]=React.useState(F.history.length-1),[J,oe]=React.useState(!1),pe=React.useRef(null),me=React.useRef(null),xe=React.useCallback(()=>{oe(!1)},[]),Ae=React.useCallback(Ie=>{const je=pe.current,Ke=me.current;if(je&&Ke){const Je=Ie.clientX,Xe=Ie.clientY,ot=je.getBoundingClientRect(),tt=ot.left+window.scrollX,Ue=ot.top+window.scrollY,et=Je-tt,dt=Xe-Ue;Ke.style.left=`${et}px`,Ke.style.top=`${dt}px`}},[]),ge=React.useCallback(Ie=>{Ie.preventDefault(),Ae(Ie),oe(!0)},[]),Te=F.history[W],we=Te.category===ChatMessageCategory.User?"right":"left",ke=B(Te),Be=React.useCallback(()=>S.calcContentForCopy(Te),[Te,S.calcContentForCopy]);return React.useEffect(()=>{const Ie=()=>{oe(!1)};return document.addEventListener("mousedown",Ie),()=>document.removeEventListener("mousedown",Ie)},[]),jsxRuntimeExports.jsx("div",{className:K.container,"data-position":we,children:jsxRuntimeExports.jsxs("div",{className:mergeClasses(K.message,V),"data-position":we,children:[jsxRuntimeExports.jsx("div",{className:K.avatar,children:C&&jsxRuntimeExports.jsx(C,{data:Te,position:we})}),jsxRuntimeExports.jsxs("div",{className:K.main,children:[jsxRuntimeExports.jsx("div",{className:K.sender,children:jsxRuntimeExports.jsx(N,{data:Te,position:we})}),jsxRuntimeExports.jsxs("div",{ref:pe,className:K.content,"data-category":Te.category,onContextMenu:ge,onClick:Ae,children:[jsxRuntimeExports.jsx(R,{content:Te.content}),Te.error&&jsxRuntimeExports.jsx(O,{error:Te.error,locStrings:j,className:K.error}),typeof Te.duration=="number"&&typeof Te.tokens=="number"&&jsxRuntimeExports.jsx(L,{duration:Te.duration,tokens:Te.tokens,locStrings:j,className:K.status}),F.history.length>1&&jsxRuntimeExports.jsx(I,{className:K.pagination,message:F,current:W,setCurrent:X}),jsxRuntimeExports.jsx("div",{ref:me,className:K.contentMenuAnchor}),ke.length>0&&jsxRuntimeExports.jsx(ContextualMenu,{items:ke,hidden:!J,target:me,onItemClick:xe,onDismiss:xe,className:K.contextualMenu}),jsxRuntimeExports.jsx("div",{className:mergeClasses(anchors.actions,K.actions),children:jsxRuntimeExports.jsx(CopyButton,{calcContentForCopy:Be,pendingText:j.CopyToClipboard,copyingText:j.CopyToClipboard_Copying,copiedText:j.CopyToClipboard_Copied,failedText:j.CopyToClipboard_Failed,className:mergeClasses(anchors.actionButton,K.actionButton)})})]})]})]})})}DefaultMessageBubbleRenderer.displayName="DefaultMessageBubbleRenderer";const anchors={actions:"chatbox-message-bubble-actions",actionButton:"chatbox-message-bubble-action-button"},useStyles$5=makeStyles({container:{...shorthands.margin("16px","0"),display:"flex",justifyContent:"flex-start",'&&[data-position="right"]':{justifyContent:"flex-end"},width:"100%"},message:{display:"flex",flexDirection:"row",'&&[data-position="right"]':{flexDirection:"row-reverse"},maxWidth:"calc(100% - 80px)"},avatar:{...shorthands.flex(0,0,"auto")},main:{...shorthands.flex(1,1,"auto"),display:"flex",flexDirection:"column",width:"100%"},sender:{...shorthands.flex(0,0,"auto")},content:{...shorthands.flex(1,1,"auto"),...shorthands.padding("12px","20px","12px","12px"),...shorthands.borderRadius("4px"),position:"relative",boxSizing:"border-box",minWidth:"48px",wordBreak:"break-word",lineHeight:"22px","> p":{...shorthands.margin(0)},[`&:hover > .${anchors.actions}`]:{display:"flex",visibility:"visible"},[`&&[data-category="${ChatMessageCategory.System}"]`]:{color:tokens.colorNeutralForeground4},[`&&[data-category="${ChatMessageCategory.Error}"]`]:{backgroundColor:tokens.colorPaletteRedBackground2,color:tokens.colorNeutralForeground1},[`&&[data-category="${ChatMessageCategory.Chatbot}"]`]:{backgroundColor:tokens.colorNeutralBackground4,color:tokens.colorNeutralForeground1},[`&&[data-category="${ChatMessageCategory.User}"]`]:{backgroundColor:tokens.colorBrandBackground2,color:tokens.colorNeutralForeground1,[`& .${anchors.actionButton}`]:{color:tokens.colorNeutralForegroundInverted,":hover":{color:tokens.colorNeutralForegroundInvertedHover}}}},contextualMenu:{width:"auto",minWidth:"180px"},contentMenuAnchor:{position:"absolute",top:"0px",left:"0px"},error:{...shorthands.borderTop("1px","solid",tokens.colorPaletteDarkRedBorderActive),marginTop:"8px 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hasOwnProperty.call(S,C)};function sameValueZeroEqual(S,C){return S||C?S===C:S===C||S!==S&&C!==C}var OWNER="_owner",getOwnPropertyDescriptor=Object.getOwnPropertyDescriptor,keys=Object.keys;function areArraysEqual(S,C,R){var O=S.length;if(C.length!==O)return!1;for(;O-- >0;)if(!R.equals(S[O],C[O],O,O,S,C,R))return!1;return!0}function areDatesEqual(S,C){return sameValueZeroEqual(S.getTime(),C.getTime())}function areMapsEqual(S,C,R){if(S.size!==C.size)return!1;for(var O={},I=S.entries(),N=0,L,B;(L=I.next())&&!L.done;){for(var j=C.entries(),F=!1,V=0;(B=j.next())&&!B.done;){var K=L.value,W=K[0],X=K[1],J=B.value,oe=J[0],pe=J[1];!F&&!O[V]&&(F=R.equals(W,oe,N,V,S,C,R)&&R.equals(X,pe,W,oe,S,C,R))&&(O[V]=!0),V++}if(!F)return!1;N++}return!0}function areObjectsEqual(S,C,R){var O=keys(S),I=O.length;if(keys(C).length!==I)return!1;for(var N;I-- >0;)if(N=O[I],N===OWNER&&(S.$$typeof||C.$$typeof)&&S.$$typeof!==C.$$typeof||!hasOwn(C,N)||!R.equals(S[N],C[N],N,N,S,C,R))return!1;return!0}function areObjectsEqualStrict(S,C,R){var O=getStrictProperties(S),I=O.length;if(getStrictProperties(C).length!==I)return!1;for(var N,L,B;I-- >0;)if(N=O[I],N===OWNER&&(S.$$typeof||C.$$typeof)&&S.$$typeof!==C.$$typeof||!hasOwn(C,N)||!R.equals(S[N],C[N],N,N,S,C,R)||(L=getOwnPropertyDescriptor(S,N),B=getOwnPropertyDescriptor(C,N),(L||B)&&(!L||!B||L.configurable!==B.configurable||L.enumerable!==B.enumerable||L.writable!==B.writable)))return!1;return!0}function arePrimitiveWrappersEqual(S,C){return sameValueZeroEqual(S.valueOf(),C.valueOf())}function areRegExpsEqual(S,C){return S.source===C.source&&S.flags===C.flags}function areSetsEqual(S,C,R){if(S.size!==C.size)return!1;for(var O={},I=S.values(),N,L;(N=I.next())&&!N.done;){for(var B=C.values(),j=!1,F=0;(L=B.next())&&!L.done;)!j&&!O[F]&&(j=R.equals(N.value,L.value,N.value,L.value,S,C,R))&&(O[F]=!0),F++;if(!j)return!1}return!0}function areTypedArraysEqual(S,C){var R=S.length;if(C.length!==R)return!1;for(;R-- >0;)if(S[R]!==C[R])return!1;return!0}var ARGUMENTS_TAG="[object Arguments]",BOOLEAN_TAG="[object Boolean]",DATE_TAG="[object Date]",MAP_TAG="[object Map]",NUMBER_TAG="[object Number]",OBJECT_TAG="[object Object]",REG_EXP_TAG="[object RegExp]",SET_TAG="[object Set]",STRING_TAG="[object String]",isArray$2=Array.isArray,isTypedArray=typeof ArrayBuffer=="function"&&ArrayBuffer.isView?ArrayBuffer.isView:null,assign=Object.assign,getTag=Object.prototype.toString.call.bind(Object.prototype.toString);function createEqualityComparator(S){var C=S.areArraysEqual,R=S.areDatesEqual,O=S.areMapsEqual,I=S.areObjectsEqual,N=S.arePrimitiveWrappersEqual,L=S.areRegExpsEqual,B=S.areSetsEqual,j=S.areTypedArraysEqual;return function(V,K,W){if(V===K)return!0;if(V==null||K==null||typeof V!="object"||typeof K!="object")return V!==V&&K!==K;var X=V.constructor;if(X!==K.constructor)return!1;if(X===Object)return I(V,K,W);if(isArray$2(V))return C(V,K,W);if(isTypedArray!=null&&isTypedArray(V))return j(V,K,W);if(X===Date)return R(V,K,W);if(X===RegExp)return L(V,K,W);if(X===Map)return O(V,K,W);if(X===Set)return B(V,K,W);var J=getTag(V);return J===DATE_TAG?R(V,K,W):J===REG_EXP_TAG?L(V,K,W):J===MAP_TAG?O(V,K,W):J===SET_TAG?B(V,K,W):J===OBJECT_TAG?typeof V.then!="function"&&typeof K.then!="function"&&I(V,K,W):J===ARGUMENTS_TAG?I(V,K,W):J===BOOLEAN_TAG||J===NUMBER_TAG||J===STRING_TAG?N(V,K,W):!1}}function createEqualityComparatorConfig(S){var C=S.circular,R=S.createCustomConfig,O=S.strict,I={areArraysEqual:O?areObjectsEqualStrict:areArraysEqual,areDatesEqual,areMapsEqual:O?combineComparators(areMapsEqual,areObjectsEqualStrict):areMapsEqual,areObjectsEqual:O?areObjectsEqualStrict:areObjectsEqual,arePrimitiveWrappersEqual,areRegExpsEqual,areSetsEqual:O?combineComparators(areSetsEqual,areObjectsEqualStrict):areSetsEqual,areTypedArraysEqual:O?areObjectsEqualStrict:areTypedArraysEqual};if(R&&(I=assign({},I,R(I))),C){var N=createIsCircular(I.areArraysEqual),L=createIsCircular(I.areMapsEqual),B=createIsCircular(I.areObjectsEqual),j=createIsCircular(I.areSetsEqual);I=assign({},I,{areArraysEqual:N,areMapsEqual:L,areObjectsEqual:B,areSetsEqual:j})}return I}function createInternalEqualityComparator(S){return function(C,R,O,I,N,L,B){return S(C,R,B)}}function createIsEqual(S){var C=S.circular,R=S.comparator,O=S.createState,I=S.equals,N=S.strict;if(O)return function(j,F){var V=O(),K=V.cache,W=K===void 0?C?new WeakMap:void 0:K,X=V.meta;return R(j,F,{cache:W,equals:I,meta:X,strict:N})};if(C)return function(j,F){return R(j,F,{cache:new WeakMap,equals:I,meta:void 0,strict:N})};var L={cache:void 0,equals:I,meta:void 0,strict:N};return function(j,F){return R(j,F,L)}}var deepEqual=createCustomEqual();createCustomEqual({strict:!0}),createCustomEqual({circular:!0}),createCustomEqual({circular:!0,strict:!0}),createCustomEqual({createInternalComparator:function(){return 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oe=B?_defineProperty$t({},B,j):j,pe=getTransitionVal(Object.keys(oe),L,F);J.start([V,N,_objectSpread$r(_objectSpread$r({},oe),{},{transition:pe}),L,K])}},{key:"render",value:function(){var I=this.props,N=I.children;I.begin;var L=I.duration;I.attributeName,I.easing;var B=I.isActive;I.steps,I.from,I.to,I.canBegin,I.onAnimationEnd,I.shouldReAnimate,I.onAnimationReStart;var j=_objectWithoutProperties$a(I,_excluded$a),F=reactExports.Children.count(N),V=translateStyle(this.state.style);if(typeof N=="function")return N(V);if(!B||F===0||L<=0)return N;var K=function(X){var J=X.props,oe=J.style,pe=oe===void 0?{}:oe,me=J.className,xe=reactExports.cloneElement(X,_objectSpread$r(_objectSpread$r({},j),{},{style:_objectSpread$r(_objectSpread$r({},pe),V),className:me}));return xe};return F===1?K(reactExports.Children.only(N)):React.createElement("div",null,reactExports.Children.map(N,function(W){return K(W)}))}}]),R}(reactExports.PureComponent);Animate.displayName="Animate",Animate.defaultProps={begin:0,duration:1e3,from:"",to:"",attributeName:"",easing:"ease",isActive:!0,canBegin:!0,steps:[],onAnimationEnd:function S(){},onAnimationStart:function 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S=="number"&&isFinite(S)}),PropTypes$1.object,PropTypes$1.object,PropTypes$1.object,PropTypes$1.element,PropTypes$1.object,PropTypes$1.object,PropTypes$1.object,PropTypes$1.oneOfType([PropTypes$1.array,PropTypes$1.element]),PropTypes$1.any;function _typeof$t(S){"@babel/helpers - typeof";return _typeof$t=typeof Symbol=="function"&&typeof Symbol.iterator=="symbol"?function(C){return typeof C}:function(C){return C&&typeof Symbol=="function"&&C.constructor===Symbol&&C!==Symbol.prototype?"symbol":typeof C},_typeof$t(S)}function _defineProperty$s(S,C,R){return C=_toPropertyKey$t(C),C in S?Object.defineProperty(S,C,{value:R,enumerable:!0,configurable:!0,writable:!0}):S[C]=R,S}function _toPropertyKey$t(S){var C=_toPrimitive$t(S,"string");return _typeof$t(C)==="symbol"?C:String(C)}function _toPrimitive$t(S,C){if(_typeof$t(S)!=="object"||S===null)return S;var R=S[Symbol.toPrimitive];if(R!==void 0){var O=R.call(S,C||"default");if(_typeof$t(O)!=="object")return O;throw new TypeError("@@toPrimitive 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L.height>0&&L.width>0&&R?(V=getTooltipTranslateXY({allowEscapeViewBox:C,coordinate:R,key:"x",offsetTopLeft:O,position:I,reverseDirection:N,tooltipDimension:L.width,viewBox:j,viewBoxDimension:j.width}),K=getTooltipTranslateXY({allowEscapeViewBox:C,coordinate:R,key:"y",offsetTopLeft:O,position:I,reverseDirection:N,tooltipDimension:L.height,viewBox:j,viewBoxDimension:j.height}),F=getTransformStyle({translateX:V,translateY:K,useTranslate3d:B})):F=TOOLTIP_HIDDEN,{cssProperties:F,cssClasses:getTooltipCSSClassName({translateX:V,translateY:K,coordinate:R})}}function _typeof$s(S){"@babel/helpers - typeof";return _typeof$s=typeof Symbol=="function"&&typeof Symbol.iterator=="symbol"?function(C){return typeof C}:function(C){return C&&typeof Symbol=="function"&&C.constructor===Symbol&&C!==Symbol.prototype?"symbol":typeof C},_typeof$s(S)}function ownKeys$q(S,C){var R=Object.keys(S);if(Object.getOwnPropertySymbols){var O=Object.getOwnPropertySymbols(S);C&&(O=O.filter(function(I){return 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C!="function"&&C!==null)throw new TypeError("Super expression must either be null or a function");S.prototype=Object.create(C&&C.prototype,{constructor:{value:S,writable:!0,configurable:!0}}),Object.defineProperty(S,"prototype",{writable:!1}),C&&_setPrototypeOf$7(S,C)}function _setPrototypeOf$7(S,C){return _setPrototypeOf$7=Object.setPrototypeOf?Object.setPrototypeOf.bind():function(O,I){return O.__proto__=I,O},_setPrototypeOf$7(S,C)}function _createSuper$7(S){var C=_isNativeReflectConstruct$7();return function(){var O=_getPrototypeOf$7(S),I;if(C){var N=_getPrototypeOf$7(this).constructor;I=Reflect.construct(O,arguments,N)}else I=O.apply(this,arguments);return _possibleConstructorReturn$7(this,I)}}function _possibleConstructorReturn$7(S,C){if(C&&(_typeof$s(C)==="object"||typeof C=="function"))return C;if(C!==void 0)throw new TypeError("Derived constructors may only return object or undefined");return _assertThisInitialized$7(S)}function _assertThisInitialized$7(S){if(S===void 0)throw new ReferenceError("this hasn't been initialised - super() hasn't been called");return S}function _isNativeReflectConstruct$7(){if(typeof Reflect>"u"||!Reflect.construct||Reflect.construct.sham)return!1;if(typeof Proxy=="function")return!0;try{return Boolean.prototype.valueOf.call(Reflect.construct(Boolean,[],function(){})),!0}catch{return!1}}function _getPrototypeOf$7(S){return _getPrototypeOf$7=Object.setPrototypeOf?Object.getPrototypeOf.bind():function(R){return R.__proto__||Object.getPrototypeOf(R)},_getPrototypeOf$7(S)}function _defineProperty$r(S,C,R){return C=_toPropertyKey$s(C),C in S?Object.defineProperty(S,C,{value:R,enumerable:!0,configurable:!0,writable:!0}):S[C]=R,S}function _toPropertyKey$s(S){var C=_toPrimitive$s(S,"string");return _typeof$s(C)==="symbol"?C:String(C)}function _toPrimitive$s(S,C){if(_typeof$s(S)!=="object"||S===null)return S;var R=S[Symbol.toPrimitive];if(R!==void 0){var O=R.call(S,C||"default");if(_typeof$s(O)!=="object")return O;throw new TypeError("@@toPrimitive must return a primitive value.")}return(C==="string"?String:Number)(S)}var EPSILON=1,TooltipBoundingBox=function(S){_inherits$7(R,S);var C=_createSuper$7(R);function R(){var O;_classCallCheck$a(this,R);for(var I=arguments.length,N=new Array(I),L=0;L<I;L++)N[L]=arguments[L];return O=C.call.apply(C,[this].concat(N)),_defineProperty$r(_assertThisInitialized$7(O),"state",{dismissed:!1,dismissedAtCoordinate:{x:0,y:0}}),_defineProperty$r(_assertThisInitialized$7(O),"lastBoundingBox",{width:-1,height:-1}),_defineProperty$r(_assertThisInitialized$7(O),"handleKeyDown",function(B){if(B.key==="Escape"){var j,F,V,K;O.setState({dismissed:!0,dismissedAtCoordinate:{x:(j=(F=O.props.coordinate)===null||F===void 0?void 0:F.x)!==null&&j!==void 0?j:0,y:(V=(K=O.props.coordinate)===null||K===void 0?void 0:K.y)!==null&&V!==void 0?V:0}})}}),O}return _createClass$a(R,[{key:"updateBBox",value:function(){if(this.wrapperNode&&this.wrapperNode.getBoundingClientRect){var 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I=this,N=this.props,L=N.active,B=N.allowEscapeViewBox,j=N.animationDuration,F=N.animationEasing,V=N.children,K=N.coordinate,W=N.hasPayload,X=N.isAnimationActive,J=N.offset,oe=N.position,pe=N.reverseDirection,me=N.useTranslate3d,xe=N.viewBox,Ae=N.wrapperStyle,ge=getTooltipTranslate({allowEscapeViewBox:B,coordinate:K,offsetTopLeft:J,position:oe,reverseDirection:pe,tooltipBox:{height:this.lastBoundingBox.height,width:this.lastBoundingBox.width},useTranslate3d:me,viewBox:xe}),Te=ge.cssClasses,we=ge.cssProperties,ke=_objectSpread$q(_objectSpread$q(_objectSpread$q({},X&&L&&translateStyle({transition:"transform ".concat(j,"ms ").concat(F)})),we),{},{pointerEvents:"none",visibility:!this.state.dismissed&&L&&W?"visible":"hidden",position:"absolute",top:0,left:0},Ae);return React.createElement("div",{tabIndex:-1,role:"dialog",className:Te,style:ke,ref:function(Ie){I.wrapperNode=Ie}},V)}}]),R}(reactExports.PureComponent),parseIsSsrByDefault=function S(){return!(typeof window<"u"&&window.document&&window.document.createElement&&window.setTimeout)},Global={isSsr:parseIsSsrByDefault(),get:function S(C){return Global[C]},set:function S(C,R){if(typeof C=="string")Global[C]=R;else{var O=Object.keys(C);O&&O.length&&O.forEach(function(I){Global[I]=C[I]})}}};function _typeof$r(S){"@babel/helpers - typeof";return _typeof$r=typeof Symbol=="function"&&typeof Symbol.iterator=="symbol"?function(C){return typeof C}:function(C){return C&&typeof Symbol=="function"&&C.constructor===Symbol&&C!==Symbol.prototype?"symbol":typeof C},_typeof$r(S)}function ownKeys$p(S,C){var R=Object.keys(S);if(Object.getOwnPropertySymbols){var O=Object.getOwnPropertySymbols(S);C&&(O=O.filter(function(I){return Object.getOwnPropertyDescriptor(S,I).enumerable})),R.push.apply(R,O)}return R}function _objectSpread$p(S){for(var C=1;C<arguments.length;C++){var 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intern_get({_intern:S,_key:C},R){const O=C(R);return S.has(O)?S.get(O):R}function intern_set({_intern:S,_key:C},R){const O=C(R);return S.has(O)?S.get(O):(S.set(O,R),R)}function intern_delete({_intern:S,_key:C},R){const O=C(R);return S.has(O)&&(R=S.get(O),S.delete(O)),R}function keyof(S){return S!==null&&typeof S=="object"?S.valueOf():S}function compareDefined(S=ascending){if(S===ascending)return ascendingDefined;if(typeof S!="function")throw new TypeError("compare is not a function");return(C,R)=>{const O=S(C,R);return O||O===0?O:(S(R,R)===0)-(S(C,C)===0)}}function ascendingDefined(S,C){return(S==null||!(S>=S))-(C==null||!(C>=C))||(S<C?-1:S>C?1:0)}const e10=Math.sqrt(50),e5=Math.sqrt(10),e2=Math.sqrt(2);function tickSpec(S,C,R){const O=(C-S)/Math.max(0,R),I=Math.floor(Math.log10(O)),N=O/Math.pow(10,I),L=N>=e10?10:N>=e5?5:N>=e2?2:1;let B,j,F;return 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S)O!=null&&(R>O||R===void 0&&O>=O)&&(R=O);else{let O=-1;for(let I of S)(I=C(I,++O,S))!=null&&(R>I||R===void 0&&I>=I)&&(R=I)}return R}function quickselect(S,C,R=0,O=1/0,I){if(C=Math.floor(C),R=Math.floor(Math.max(0,R)),O=Math.floor(Math.min(S.length-1,O)),!(R<=C&&C<=O))return S;for(I=I===void 0?ascendingDefined:compareDefined(I);O>R;){if(O-R>600){const j=O-R+1,F=C-R+1,V=Math.log(j),K=.5*Math.exp(2*V/3),W=.5*Math.sqrt(V*K*(j-K)/j)*(F-j/2<0?-1:1),X=Math.max(R,Math.floor(C-F*K/j+W)),J=Math.min(O,Math.floor(C+(j-F)*K/j+W));quickselect(S,C,X,J,I)}const N=S[C];let L=R,B=O;for(swap(S,R,C),I(S[O],N)>0&&swap(S,R,O);L<B;){for(swap(S,L,B),++L,--B;I(S[L],N)<0;)++L;for(;I(S[B],N)>0;)--B}I(S[R],N)===0?swap(S,R,B):(++B,swap(S,B,O)),B<=C&&(R=B+1),C<=B&&(O=B-1)}return S}function swap(S,C,R){const O=S[C];S[C]=S[R],S[R]=O}function quantile$1(S,C,R){if(S=Float64Array.from(numbers(S,R)),!(!(O=S.length)||isNaN(C=+C))){if(C<=0||O<2)return min(S);if(C>=1)return max(S);var O,I=(O-1)*C,N=Math.floor(I),L=max(quickselect(S,N).subarray(0,N+1)),B=min(S.subarray(N+1));return L+(B-L)*(I-N)}}function quantileSorted(S,C,R=number$2){if(!(!(O=S.length)||isNaN(C=+C))){if(C<=0||O<2)return+R(S[0],0,S);if(C>=1)return+R(S[O-1],O-1,S);var O,I=(O-1)*C,N=Math.floor(I),L=+R(S[N],N,S),B=+R(S[N+1],N+1,S);return L+(B-L)*(I-N)}}function range$1(S,C,R){S=+S,C=+C,R=(I=arguments.length)<2?(C=S,S=0,1):I<3?1:+R;for(var O=-1,I=Math.max(0,Math.ceil((C-S)/R))|0,N=new Array(I);++O<I;)N[O]=S+O*R;return N}function initRange(S,C){switch(arguments.length){case 0:break;case 1:this.range(S);break;default:this.range(C).domain(S);break}return this}function initInterpolator(S,C){switch(arguments.length){case 0:break;case 1:{typeof S=="function"?this.interpolator(S):this.range(S);break}default:{this.domain(S),typeof C=="function"?this.interpolator(C):this.range(C);break}}return this}const implicit=Symbol("implicit");function ordinal(){var S=new InternMap,C=[],R=[],O=implicit;function I(N){let L=S.get(N);if(L===void 0){if(O!==implicit)return O;S.set(N,L=C.push(N)-1)}return R[L%R.length]}return I.domain=function(N){if(!arguments.length)return C.slice();C=[],S=new InternMap;for(const L of N)S.has(L)||S.set(L,C.push(L)-1);return I},I.range=function(N){return arguments.length?(R=Array.from(N),I):R.slice()},I.unknown=function(N){return arguments.length?(O=N,I):O},I.copy=function(){return ordinal(C,R).unknown(O)},initRange.apply(I,arguments),I}function band(){var S=ordinal().unknown(void 0),C=S.domain,R=S.range,O=0,I=1,N,L,B=!1,j=0,F=0,V=.5;delete S.unknown;function K(){var W=C().length,X=I<O,J=X?I:O,oe=X?O:I;N=(oe-J)/Math.max(1,W-j+F*2),B&&(N=Math.floor(N)),J+=(oe-J-N*(W-j))*V,L=N*(1-j),B&&(J=Math.round(J),L=Math.round(L));var pe=range$1(W).map(function(me){return J+N*me});return R(X?pe.reverse():pe)}return S.domain=function(W){return arguments.length?(C(W),K()):C()},S.range=function(W){return arguments.length?([O,I]=W,O=+O,I=+I,K()):[O,I]},S.rangeRound=function(W){return[O,I]=W,O=+O,I=+I,B=!0,K()},S.bandwidth=function(){return L},S.step=function(){return N},S.round=function(W){return arguments.length?(B=!!W,K()):B},S.padding=function(W){return arguments.length?(j=Math.min(1,F=+W),K()):j},S.paddingInner=function(W){return arguments.length?(j=Math.min(1,W),K()):j},S.paddingOuter=function(W){return arguments.length?(F=+W,K()):F},S.align=function(W){return arguments.length?(V=Math.max(0,Math.min(1,W)),K()):V},S.copy=function(){return band(C(),[O,I]).round(B).paddingInner(j).paddingOuter(F).align(V)},initRange.apply(K(),arguments)}function pointish(S){var C=S.copy;return S.padding=S.paddingOuter,delete S.paddingInner,delete S.paddingOuter,S.copy=function(){return pointish(C())},S}function point(){return pointish(band.apply(null,arguments).paddingInner(1))}function define(S,C,R){S.prototype=C.prototype=R,R.constructor=S}function extend(S,C){var R=Object.create(S.prototype);for(var O in C)R[O]=C[O];return R}function Color(){}var darker=.7,brighter=1/darker,reI="\\s*([+-]?\\d+)\\s*",reN="\\s*([+-]?(?:\\d*\\.)?\\d+(?:[eE][+-]?\\d+)?)\\s*",reP="\\s*([+-]?(?:\\d*\\.)?\\d+(?:[eE][+-]?\\d+)?)%\\s*",reHex=/^#([0-9a-f]{3,8})$/,reRgbInteger=new RegExp(`^rgb\\(${reI},${reI},${reI}\\)$`),reRgbPercent=new RegExp(`^rgb\\(${reP},${reP},${reP}\\)$`),reRgbaInteger=new RegExp(`^rgba\\(${reI},${reI},${reI},${reN}\\)$`),reRgbaPercent=new RegExp(`^rgba\\(${reP},${reP},${reP},${reN}\\)$`),reHslPercent=new RegExp(`^hsl\\(${reN},${reP},${reP}\\)$`),reHslaPercent=new RegExp(`^hsla\\(${reN},${reP},${reP},${reN}\\)$`),named={aliceblue:15792383,antiquewhite:16444375,aqua:65535,aquamarine:8388564,azure:15794175,beige:16119260,bisque:16770244,black:0,blanchedalmond:16772045,blue:255,blueviolet:9055202,brown:10824234,burlywood:14596231,cadetblue:6266528,chartreuse:8388352,chocolate:13789470,coral:16744272,cornflowerblue:6591981,cornsilk:16775388,crimson:14423100,cyan:65535,darkblue:139,darkcyan:35723,darkgoldenrod:12092939,darkgray:11119017,darkgreen:25600,darkgrey:11119017,darkkhaki:12433259,darkmagenta:9109643,darkolivegreen:5597999,darkorange:16747520,darkorchid:10040012,darkred:9109504,darksalmon:15308410,darkseagreen:9419919,darkslateblue:4734347,darkslategray:3100495,darkslategrey:3100495,darkturquoise:52945,darkviolet:9699539,deeppink:16716947,deepskyblue:49151,dimgray:6908265,dimgrey:6908265,dodgerblue:2003199,firebrick:11674146,floralwhite:16775920,forestgreen:2263842,fuchsia:16711935,gainsboro:14474460,ghostwhite:16316671,gold:16766720,goldenrod:14329120,gray:8421504,green:32768,greenyellow:11403055,grey:8421504,honeydew:15794160,hotpink:16738740,indianred:13458524,indigo:4915330,ivory:16777200,khaki:15787660,lavender:15132410,lavenderblush:16773365,lawngreen:8190976,lemonchiffon:16775885,lightblue:11393254,lightcoral:15761536,lightcyan:14745599,lightgoldenrodyellow:16448210,lightgray:13882323,lightgreen:9498256,lightgrey:13882323,lightpink:16758465,lightsalmon:16752762,lightseagreen:2142890,lightskyblue:8900346,lightslategray:7833753,lightslategrey:7833753,lightsteelblue:11584734,lightyellow:16777184,lime:65280,limegreen:3329330,linen:16445670,magenta:16711935,maroon:8388608,mediumaquamarine:6737322,mediumblue:205,mediumorchid:12211667,mediumpurple:9662683,mediumseagreen:3978097,mediumslateblue:8087790,mediumspringgreen:64154,mediumturquoise:4772300,mediumvioletred:13047173,midnightblue:1644912,mintcream:16121850,mistyrose:16770273,moccasin:16770229,navajowhite:16768685,navy:128,oldlace:16643558,olive:8421376,olivedrab:7048739,orange:16753920,orangered:16729344,orchid:14315734,palegoldenrod:15657130,palegreen:10025880,paleturquoise:11529966,palevioletred:14381203,papayawhip:16773077,peachpuff:16767673,peru:13468991,pink:16761035,plum:14524637,powderblue:11591910,purple:8388736,rebeccapurple:6697881,red:16711680,rosybrown:12357519,royalblue:4286945,saddlebrown:9127187,salmon:16416882,sandybrown:16032864,seagreen:3050327,seashell:16774638,sienna:10506797,silver:12632256,skyblue:8900331,slateblue:6970061,slategray:7372944,slategrey:7372944,snow:16775930,springgreen:65407,steelblue:4620980,tan:13808780,teal:32896,thistle:14204888,tomato:16737095,turquoise:4251856,violet:15631086,wheat:16113331,white:16777215,whitesmoke:16119285,yellow:16776960,yellowgreen:10145074};define(Color,color,{copy(S){return Object.assign(new this.constructor,this,S)},displayable(){return this.rgb().displayable()},hex:color_formatHex,formatHex:color_formatHex,formatHex8:color_formatHex8,formatHsl:color_formatHsl,formatRgb:color_formatRgb,toString:color_formatRgb});function color_formatHex(){return this.rgb().formatHex()}function color_formatHex8(){return this.rgb().formatHex8()}function color_formatHsl(){return hslConvert(this).formatHsl()}function color_formatRgb(){return this.rgb().formatRgb()}function color(S){var C,R;return S=(S+"").trim().toLowerCase(),(C=reHex.exec(S))?(R=C[1].length,C=parseInt(C[1],16),R===6?rgbn(C):R===3?new Rgb(C>>8&15|C>>4&240,C>>4&15|C&240,(C&15)<<4|C&15,1):R===8?rgba(C>>24&255,C>>16&255,C>>8&255,(C&255)/255):R===4?rgba(C>>12&15|C>>8&240,C>>8&15|C>>4&240,C>>4&15|C&240,((C&15)<<4|C&15)/255):null):(C=reRgbInteger.exec(S))?new Rgb(C[1],C[2],C[3],1):(C=reRgbPercent.exec(S))?new Rgb(C[1]*255/100,C[2]*255/100,C[3]*255/100,1):(C=reRgbaInteger.exec(S))?rgba(C[1],C[2],C[3],C[4]):(C=reRgbaPercent.exec(S))?rgba(C[1]*255/100,C[2]*255/100,C[3]*255/100,C[4]):(C=reHslPercent.exec(S))?hsla(C[1],C[2]/100,C[3]/100,1):(C=reHslaPercent.exec(S))?hsla(C[1],C[2]/100,C[3]/100,C[4]):named.hasOwnProperty(S)?rgbn(named[S]):S==="transparent"?new Rgb(NaN,NaN,NaN,0):null}function rgbn(S){return new Rgb(S>>16&255,S>>8&255,S&255,1)}function rgba(S,C,R,O){return O<=0&&(S=C=R=NaN),new Rgb(S,C,R,O)}function rgbConvert(S){return S instanceof Color||(S=color(S)),S?(S=S.rgb(),new Rgb(S.r,S.g,S.b,S.opacity)):new Rgb}function rgb$1(S,C,R,O){return arguments.length===1?rgbConvert(S):new Rgb(S,C,R,O??1)}function Rgb(S,C,R,O){this.r=+S,this.g=+C,this.b=+R,this.opacity=+O}define(Rgb,rgb$1,extend(Color,{brighter(S){return S=S==null?brighter:Math.pow(brighter,S),new Rgb(this.r*S,this.g*S,this.b*S,this.opacity)},darker(S){return S=S==null?darker:Math.pow(darker,S),new Rgb(this.r*S,this.g*S,this.b*S,this.opacity)},rgb(){return this},clamp(){return new Rgb(clampi(this.r),clampi(this.g),clampi(this.b),clampa(this.opacity))},displayable(){return-.5<=this.r&&this.r<255.5&&-.5<=this.g&&this.g<255.5&&-.5<=this.b&&this.b<255.5&&0<=this.opacity&&this.opacity<=1},hex:rgb_formatHex,formatHex:rgb_formatHex,formatHex8:rgb_formatHex8,formatRgb:rgb_formatRgb,toString:rgb_formatRgb}));function rgb_formatHex(){return`#${hex(this.r)}${hex(this.g)}${hex(this.b)}`}function rgb_formatHex8(){return`#${hex(this.r)}${hex(this.g)}${hex(this.b)}${hex((isNaN(this.opacity)?1:this.opacity)*255)}`}function rgb_formatRgb(){const S=clampa(this.opacity);return`${S===1?"rgb(":"rgba("}${clampi(this.r)}, ${clampi(this.g)}, ${clampi(this.b)}${S===1?")":`, ${S})`}`}function clampa(S){return isNaN(S)?1:Math.max(0,Math.min(1,S))}function clampi(S){return Math.max(0,Math.min(255,Math.round(S)||0))}function hex(S){return S=clampi(S),(S<16?"0":"")+S.toString(16)}function hsla(S,C,R,O){return O<=0?S=C=R=NaN:R<=0||R>=1?S=C=NaN:C<=0&&(S=NaN),new Hsl(S,C,R,O)}function hslConvert(S){if(S instanceof Hsl)return new Hsl(S.h,S.s,S.l,S.opacity);if(S instanceof Color||(S=color(S)),!S)return new Hsl;if(S instanceof Hsl)return S;S=S.rgb();var C=S.r/255,R=S.g/255,O=S.b/255,I=Math.min(C,R,O),N=Math.max(C,R,O),L=NaN,B=N-I,j=(N+I)/2;return B?(C===N?L=(R-O)/B+(R<O)*6:R===N?L=(O-C)/B+2:L=(C-R)/B+4,B/=j<.5?N+I:2-N-I,L*=60):B=j>0&&j<1?0:L,new Hsl(L,B,j,S.opacity)}function hsl(S,C,R,O){return arguments.length===1?hslConvert(S):new Hsl(S,C,R,O??1)}function Hsl(S,C,R,O){this.h=+S,this.s=+C,this.l=+R,this.opacity=+O}define(Hsl,hsl,extend(Color,{brighter(S){return S=S==null?brighter:Math.pow(brighter,S),new Hsl(this.h,this.s,this.l*S,this.opacity)},darker(S){return S=S==null?darker:Math.pow(darker,S),new Hsl(this.h,this.s,this.l*S,this.opacity)},rgb(){var S=this.h%360+(this.h<0)*360,C=isNaN(S)||isNaN(this.s)?0:this.s,R=this.l,O=R+(R<.5?R:1-R)*C,I=2*R-O;return new Rgb(hsl2rgb(S>=240?S-240:S+120,I,O),hsl2rgb(S,I,O),hsl2rgb(S<120?S+240:S-120,I,O),this.opacity)},clamp(){return new Hsl(clamph(this.h),clampt(this.s),clampt(this.l),clampa(this.opacity))},displayable(){return(0<=this.s&&this.s<=1||isNaN(this.s))&&0<=this.l&&this.l<=1&&0<=this.opacity&&this.opacity<=1},formatHsl(){const S=clampa(this.opacity);return`${S===1?"hsl(":"hsla("}${clamph(this.h)}, ${clampt(this.s)*100}%, ${clampt(this.l)*100}%${S===1?")":`, ${S})`}`}}));function clamph(S){return S=(S||0)%360,S<0?S+360:S}function clampt(S){return Math.max(0,Math.min(1,S||0))}function hsl2rgb(S,C,R){return(S<60?C+(R-C)*S/60:S<180?R:S<240?C+(R-C)*(240-S)/60:C)*255}const constant=S=>()=>S;function linear$1(S,C){return function(R){return S+R*C}}function exponential(S,C,R){return S=Math.pow(S,R),C=Math.pow(C,R)-S,R=1/R,function(O){return Math.pow(S+O*C,R)}}function gamma(S){return(S=+S)==1?nogamma:function(C,R){return R-C?exponential(C,R,S):constant(isNaN(C)?R:C)}}function nogamma(S,C){var R=C-S;return R?linear$1(S,R):constant(isNaN(S)?C:S)}const rgb=function S(C){var R=gamma(C);function O(I,N){var L=R((I=rgb$1(I)).r,(N=rgb$1(N)).r),B=R(I.g,N.g),j=R(I.b,N.b),F=nogamma(I.opacity,N.opacity);return function(V){return I.r=L(V),I.g=B(V),I.b=j(V),I.opacity=F(V),I+""}}return O.gamma=S,O}(1);function numberArray(S,C){C||(C=[]);var R=S?Math.min(C.length,S.length):0,O=C.slice(),I;return function(N){for(I=0;I<R;++I)O[I]=S[I]*(1-N)+C[I]*N;return O}}function isNumberArray(S){return ArrayBuffer.isView(S)&&!(S instanceof DataView)}function genericArray(S,C){var R=C?C.length:0,O=S?Math.min(R,S.length):0,I=new Array(O),N=new Array(R),L;for(L=0;L<O;++L)I[L]=interpolate(S[L],C[L]);for(;L<R;++L)N[L]=C[L];return function(B){for(L=0;L<O;++L)N[L]=I[L](B);return N}}function date$1(S,C){var R=new Date;return S=+S,C=+C,function(O){return R.setTime(S*(1-O)+C*O),R}}function interpolateNumber$1(S,C){return S=+S,C=+C,function(R){return S*(1-R)+C*R}}function object(S,C){var 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transformPow(S){return function(C){return C<0?-Math.pow(-C,S):Math.pow(C,S)}}function transformSqrt(S){return S<0?-Math.sqrt(-S):Math.sqrt(S)}function transformSquare(S){return S<0?-S*S:S*S}function powish(S){var C=S(identity$2,identity$2),R=1;function O(){return R===1?S(identity$2,identity$2):R===.5?S(transformSqrt,transformSquare):S(transformPow(R),transformPow(1/R))}return C.exponent=function(I){return arguments.length?(R=+I,O()):R},linearish(C)}function pow(){var S=powish(transformer$2());return S.copy=function(){return copy$1(S,pow()).exponent(S.exponent())},initRange.apply(S,arguments),S}function sqrt(){return pow.apply(null,arguments).exponent(.5)}function square(S){return Math.sign(S)*S*S}function unsquare(S){return Math.sign(S)*Math.sqrt(Math.abs(S))}function radial(){var S=continuous(),C=[0,1],R=!1,O;function I(N){var L=unsquare(S(N));return isNaN(L)?O:R?Math.round(L):L}return I.invert=function(N){return S.invert(square(N))},I.domain=function(N){return 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threshold(){var S=[.5],C=[0,1],R,O=1;function I(N){return N!=null&&N<=N?C[bisect(S,N,0,O)]:R}return I.domain=function(N){return arguments.length?(S=Array.from(N),O=Math.min(S.length,C.length-1),I):S.slice()},I.range=function(N){return arguments.length?(C=Array.from(N),O=Math.min(S.length,C.length-1),I):C.slice()},I.invertExtent=function(N){var L=C.indexOf(N);return[S[L-1],S[L]]},I.unknown=function(N){return arguments.length?(R=N,I):R},I.copy=function(){return threshold().domain(S).range(C).unknown(R)},initRange.apply(I,arguments)}const t0=new Date,t1=new Date;function timeInterval(S,C,R,O){function I(N){return S(N=arguments.length===0?new Date:new Date(+N)),N}return I.floor=N=>(S(N=new Date(+N)),N),I.ceil=N=>(S(N=new Date(N-1)),C(N,1),S(N),N),I.round=N=>{const L=I(N),B=I.ceil(N);return N-L<B-N?L:B},I.offset=(N,L)=>(C(N=new Date(+N),L==null?1:Math.floor(L)),N),I.range=(N,L,B)=>{const j=[];if(N=I.ceil(N),B=B==null?1:Math.floor(B),!(N<L)||!(B>0))return j;let F;do j.push(F=new 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durationSecond=1e3,durationMinute=durationSecond*60,durationHour=durationMinute*60,durationDay=durationHour*24,durationWeek=durationDay*7,durationMonth=durationDay*30,durationYear=durationDay*365,second=timeInterval(S=>{S.setTime(S-S.getMilliseconds())},(S,C)=>{S.setTime(+S+C*durationSecond)},(S,C)=>(C-S)/durationSecond,S=>S.getUTCSeconds());second.range;const timeMinute=timeInterval(S=>{S.setTime(S-S.getMilliseconds()-S.getSeconds()*durationSecond)},(S,C)=>{S.setTime(+S+C*durationMinute)},(S,C)=>(C-S)/durationMinute,S=>S.getMinutes());timeMinute.range;const utcMinute=timeInterval(S=>{S.setUTCSeconds(0,0)},(S,C)=>{S.setTime(+S+C*durationMinute)},(S,C)=>(C-S)/durationMinute,S=>S.getUTCMinutes());utcMinute.range;const timeHour=timeInterval(S=>{S.setTime(S-S.getMilliseconds()-S.getSeconds()*durationSecond-S.getMinutes()*durationMinute)},(S,C)=>{S.setTime(+S+C*durationHour)},(S,C)=>(C-S)/durationHour,S=>S.getHours());timeHour.range;const utcHour=timeInterval(S=>{S.setUTCMinutes(0,0,0)},(S,C)=>{S.setTime(+S+C*durationHour)},(S,C)=>(C-S)/durationHour,S=>S.getUTCHours());utcHour.range;const timeDay=timeInterval(S=>S.setHours(0,0,0,0),(S,C)=>S.setDate(S.getDate()+C),(S,C)=>(C-S-(C.getTimezoneOffset()-S.getTimezoneOffset())*durationMinute)/durationDay,S=>S.getDate()-1);timeDay.range;const utcDay=timeInterval(S=>{S.setUTCHours(0,0,0,0)},(S,C)=>{S.setUTCDate(S.getUTCDate()+C)},(S,C)=>(C-S)/durationDay,S=>S.getUTCDate()-1);utcDay.range;const unixDay=timeInterval(S=>{S.setUTCHours(0,0,0,0)},(S,C)=>{S.setUTCDate(S.getUTCDate()+C)},(S,C)=>(C-S)/durationDay,S=>Math.floor(S/durationDay));unixDay.range;function timeWeekday(S){return timeInterval(C=>{C.setDate(C.getDate()-(C.getDay()+7-S)%7),C.setHours(0,0,0,0)},(C,R)=>{C.setDate(C.getDate()+R*7)},(C,R)=>(R-C-(R.getTimezoneOffset()-C.getTimezoneOffset())*durationMinute)/durationWeek)}const timeSunday=timeWeekday(0),timeMonday=timeWeekday(1),timeTuesday=timeWeekday(2),timeWednesday=timeWeekday(3),timeThursday=timeWeekday(4),timeFriday=timeWeekday(5),timeSaturday=timeWeekday(6);timeSunday.range,timeMonday.range,timeTuesday.range,timeWednesday.range,timeThursday.range,timeFriday.range,timeSaturday.range;function utcWeekday(S){return timeInterval(C=>{C.setUTCDate(C.getUTCDate()-(C.getUTCDay()+7-S)%7),C.setUTCHours(0,0,0,0)},(C,R)=>{C.setUTCDate(C.getUTCDate()+R*7)},(C,R)=>(R-C)/durationWeek)}const utcSunday=utcWeekday(0),utcMonday=utcWeekday(1),utcTuesday=utcWeekday(2),utcWednesday=utcWeekday(3),utcThursday=utcWeekday(4),utcFriday=utcWeekday(5),utcSaturday=utcWeekday(6);utcSunday.range,utcMonday.range,utcTuesday.range,utcWednesday.range,utcThursday.range,utcFriday.range,utcSaturday.range;const timeMonth=timeInterval(S=>{S.setDate(1),S.setHours(0,0,0,0)},(S,C)=>{S.setMonth(S.getMonth()+C)},(S,C)=>C.getMonth()-S.getMonth()+(C.getFullYear()-S.getFullYear())*12,S=>S.getMonth());timeMonth.range;const utcMonth=timeInterval(S=>{S.setUTCDate(1),S.setUTCHours(0,0,0,0)},(S,C)=>{S.setUTCMonth(S.getUTCMonth()+C)},(S,C)=>C.getUTCMonth()-S.getUTCMonth()+(C.getUTCFullYear()-S.getUTCFullYear())*12,S=>S.getUTCMonth());utcMonth.range;const timeYear=timeInterval(S=>{S.setMonth(0,1),S.setHours(0,0,0,0)},(S,C)=>{S.setFullYear(S.getFullYear()+C)},(S,C)=>C.getFullYear()-S.getFullYear(),S=>S.getFullYear());timeYear.every=S=>!isFinite(S=Math.floor(S))||!(S>0)?null:timeInterval(C=>{C.setFullYear(Math.floor(C.getFullYear()/S)*S),C.setMonth(0,1),C.setHours(0,0,0,0)},(C,R)=>{C.setFullYear(C.getFullYear()+R*S)}),timeYear.range;const utcYear=timeInterval(S=>{S.setUTCMonth(0,1),S.setUTCHours(0,0,0,0)},(S,C)=>{S.setUTCFullYear(S.getUTCFullYear()+C)},(S,C)=>C.getUTCFullYear()-S.getUTCFullYear(),S=>S.getUTCFullYear());utcYear.every=S=>!isFinite(S=Math.floor(S))||!(S>0)?null:timeInterval(C=>{C.setUTCFullYear(Math.floor(C.getUTCFullYear()/S)*S),C.setUTCMonth(0,1),C.setUTCHours(0,0,0,0)},(C,R)=>{C.setUTCFullYear(C.getUTCFullYear()+R*S)}),utcYear.range;function ticker(S,C,R,O,I,N){const L=[[second,1,durationSecond],[second,5,5*durationSecond],[second,15,15*durationSecond],[second,30,30*durationSecond],[N,1,durationMinute],[N,5,5*durationMinute],[N,15,15*durationMinute],[N,30,30*durationMinute],[I,1,durationHour],[I,3,3*durationHour],[I,6,6*durationHour],[I,12,12*durationHour],[O,1,durationDay],[O,2,2*durationDay],[R,1,durationWeek],[C,1,durationMonth],[C,3,3*durationMonth],[S,1,durationYear]];function B(F,V,K){const W=V<F;W&&([F,V]=[V,F]);const X=K&&typeof K.range=="function"?K:j(F,V,K),J=X?X.range(F,+V+1):[];return W?J.reverse():J}function j(F,V,K){const W=Math.abs(V-F)/K,X=bisector(([,,pe])=>pe).right(L,W);if(X===L.length)return S.every(tickStep(F/durationYear,V/durationYear,K));if(X===0)return millisecond.every(Math.max(tickStep(F,V,K),1));const[J,oe]=L[W/L[X-1][2]<L[X][2]/W?X-1:X];return J.every(oe)}return[B,j]}const[utcTicks,utcTickInterval]=ticker(utcYear,utcMonth,utcSunday,unixDay,utcHour,utcMinute),[timeTicks,timeTickInterval]=ticker(timeYear,timeMonth,timeSunday,timeDay,timeHour,timeMinute);function localDate(S){if(0<=S.y&&S.y<100){var C=new Date(-1,S.m,S.d,S.H,S.M,S.S,S.L);return C.setFullYear(S.y),C}return new Date(S.y,S.m,S.d,S.H,S.M,S.S,S.L)}function utcDate(S){if(0<=S.y&&S.y<100){var C=new Date(Date.UTC(-1,S.m,S.d,S.H,S.M,S.S,S.L));return C.setUTCFullYear(S.y),C}return new Date(Date.UTC(S.y,S.m,S.d,S.H,S.M,S.S,S.L))}function newDate(S,C,R){return{y:S,m:C,d:R,H:0,M:0,S:0,L:0}}function formatLocale(S){var C=S.dateTime,R=S.date,O=S.time,I=S.periods,N=S.days,L=S.shortDays,B=S.months,j=S.shortMonths,F=formatRe(I),V=formatLookup(I),K=formatRe(N),W=formatLookup(N),X=formatRe(L),J=formatLookup(L),oe=formatRe(B),pe=formatLookup(B),me=formatRe(j),xe=formatLookup(j),Ae={a:et,A:dt,b:gt,B:Qe,c:null,d:formatDayOfMonth,e:formatDayOfMonth,f:formatMicroseconds,g:formatYearISO,G:formatFullYearISO,H:formatHour24,I:formatHour12,j:formatDayOfYear,L:formatMilliseconds,m:formatMonthNumber,M:formatMinutes,p:lt,q:ht,Q:formatUnixTimestamp,s:formatUnixTimestampSeconds,S:formatSeconds,u:formatWeekdayNumberMonday,U:formatWeekNumberSunday,V:formatWeekNumberISO,w:formatWeekdayNumberSunday,W:formatWeekNumberMonday,x:null,X:null,y:formatYear,Y:formatFullYear,Z:formatZone,"%":formatLiteralPercent},ge={a:Ct,A:$t,b:Lt,B:Gt,c:null,d:formatUTCDayOfMonth,e:formatUTCDayOfMonth,f:formatUTCMicroseconds,g:formatUTCYearISO,G:formatUTCFullYearISO,H:formatUTCHour24,I:formatUTCHour12,j:formatUTCDayOfYear,L:formatUTCMilliseconds,m:formatUTCMonthNumber,M:formatUTCMinutes,p:Pt,q:Vt,Q:formatUnixTimestamp,s:formatUnixTimestampSeconds,S:formatUTCSeconds,u:formatUTCWeekdayNumberMonday,U:formatUTCWeekNumberSunday,V:formatUTCWeekNumberISO,w:formatUTCWeekdayNumberSunday,W:formatUTCWeekNumberMonday,x:null,X:null,y:formatUTCYear,Y:formatUTCFullYear,Z:formatUTCZone,"%":formatLiteralPercent},Te={a:je,A:Ke,b:Je,B:Xe,c:ot,d:parseDayOfMonth,e:parseDayOfMonth,f:parseMicroseconds,g:parseYear,G:parseFullYear,H:parseHour24,I:parseHour24,j:parseDayOfYear,L:parseMilliseconds,m:parseMonthNumber,M:parseMinutes,p:Ie,q:parseQuarter,Q:parseUnixTimestamp,s:parseUnixTimestampSeconds,S:parseSeconds,u:parseWeekdayNumberMonday,U:parseWeekNumberSunday,V:parseWeekNumberISO,w:parseWeekdayNumberSunday,W:parseWeekNumberMonday,x:tt,X:Ue,y:parseYear,Y:parseFullYear,Z:parseZone,"%":parseLiteralPercent};Ae.x=we(R,Ae),Ae.X=we(O,Ae),Ae.c=we(C,Ae),ge.x=we(R,ge),ge.X=we(O,ge),ge.c=we(C,ge);function we(bt,It){return function(Ht){var kt=[],Kt=-1,tr=0,wr=bt.length,xr,Vr,bn;for(Ht instanceof Date||(Ht=new Date(+Ht));++Kt<wr;)bt.charCodeAt(Kt)===37&&(kt.push(bt.slice(tr,Kt)),(Vr=pads[xr=bt.charAt(++Kt)])!=null?xr=bt.charAt(++Kt):Vr=xr==="e"?" 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kt?utcDate(newDate(kt.y,0,1)).getUTCDay():localDate(newDate(kt.y,0,1)).getDay(),kt.m=0,kt.d="W"in kt?(kt.w+6)%7+kt.W*7-(wr+5)%7:kt.w+kt.U*7-(wr+6)%7);return"Z"in kt?(kt.H+=kt.Z/100|0,kt.M+=kt.Z%100,utcDate(kt)):localDate(kt)}}function Be(bt,It,Ht,kt){for(var Kt=0,tr=It.length,wr=Ht.length,xr,Vr;Kt<tr;){if(kt>=wr)return-1;if(xr=It.charCodeAt(Kt++),xr===37){if(xr=It.charAt(Kt++),Vr=Te[xr in pads?It.charAt(Kt++):xr],!Vr||(kt=Vr(bt,Ht,kt))<0)return-1}else if(xr!=Ht.charCodeAt(kt++))return-1}return kt}function Ie(bt,It,Ht){var kt=F.exec(It.slice(Ht));return kt?(bt.p=V.get(kt[0].toLowerCase()),Ht+kt[0].length):-1}function je(bt,It,Ht){var kt=X.exec(It.slice(Ht));return kt?(bt.w=J.get(kt[0].toLowerCase()),Ht+kt[0].length):-1}function Ke(bt,It,Ht){var kt=K.exec(It.slice(Ht));return kt?(bt.w=W.get(kt[0].toLowerCase()),Ht+kt[0].length):-1}function Je(bt,It,Ht){var kt=me.exec(It.slice(Ht));return kt?(bt.m=xe.get(kt[0].toLowerCase()),Ht+kt[0].length):-1}function Xe(bt,It,Ht){var kt=oe.exec(It.slice(Ht));return kt?(bt.m=pe.get(kt[0].toLowerCase()),Ht+kt[0].length):-1}function ot(bt,It,Ht){return Be(bt,C,It,Ht)}function tt(bt,It,Ht){return Be(bt,R,It,Ht)}function Ue(bt,It,Ht){return Be(bt,O,It,Ht)}function et(bt){return L[bt.getDay()]}function dt(bt){return N[bt.getDay()]}function gt(bt){return j[bt.getMonth()]}function Qe(bt){return B[bt.getMonth()]}function lt(bt){return I[+(bt.getHours()>=12)]}function ht(bt){return 1+~~(bt.getMonth()/3)}function Ct(bt){return L[bt.getUTCDay()]}function $t(bt){return N[bt.getUTCDay()]}function Lt(bt){return j[bt.getUTCMonth()]}function Gt(bt){return B[bt.getUTCMonth()]}function Pt(bt){return I[+(bt.getUTCHours()>=12)]}function Vt(bt){return 1+~~(bt.getUTCMonth()/3)}return{format:function(bt){var It=we(bt+="",Ae);return It.toString=function(){return bt},It},parse:function(bt){var It=ke(bt+="",!1);return It.toString=function(){return bt},It},utcFormat:function(bt){var It=we(bt+="",ge);return It.toString=function(){return bt},It},utcParse:function(bt){var It=ke(bt+="",!0);return It.toString=function(){return bt},It}}}var pads={"-":"",_:" ",0:"0"},numberRe=/^\s*\d+/,percentRe=/^%/,requoteRe=/[\\^$*+?|[\]().{}]/g;function pad(S,C,R){var O=S<0?"-":"",I=(O?-S:S)+"",N=I.length;return O+(N<R?new Array(R-N+1).join(C)+I:I)}function requote(S){return S.replace(requoteRe,"\\$&")}function formatRe(S){return new RegExp("^(?:"+S.map(requote).join("|")+")","i")}function formatLookup(S){return new Map(S.map((C,R)=>[C.toLowerCase(),R]))}function parseWeekdayNumberSunday(S,C,R){var O=numberRe.exec(C.slice(R,R+1));return O?(S.w=+O[0],R+O[0].length):-1}function parseWeekdayNumberMonday(S,C,R){var O=numberRe.exec(C.slice(R,R+1));return O?(S.u=+O[0],R+O[0].length):-1}function parseWeekNumberSunday(S,C,R){var O=numberRe.exec(C.slice(R,R+2));return O?(S.U=+O[0],R+O[0].length):-1}function parseWeekNumberISO(S,C,R){var O=numberRe.exec(C.slice(R,R+2));return O?(S.V=+O[0],R+O[0].length):-1}function parseWeekNumberMonday(S,C,R){var O=numberRe.exec(C.slice(R,R+2));return O?(S.W=+O[0],R+O[0].length):-1}function parseFullYear(S,C,R){var O=numberRe.exec(C.slice(R,R+4));return O?(S.y=+O[0],R+O[0].length):-1}function parseYear(S,C,R){var O=numberRe.exec(C.slice(R,R+2));return O?(S.y=+O[0]+(+O[0]>68?1900:2e3),R+O[0].length):-1}function parseZone(S,C,R){var O=/^(Z)|([+-]\d\d)(?::?(\d\d))?/.exec(C.slice(R,R+6));return O?(S.Z=O[1]?0:-(O[2]+(O[3]||"00")),R+O[0].length):-1}function parseQuarter(S,C,R){var O=numberRe.exec(C.slice(R,R+1));return O?(S.q=O[0]*3-3,R+O[0].length):-1}function parseMonthNumber(S,C,R){var O=numberRe.exec(C.slice(R,R+2));return O?(S.m=O[0]-1,R+O[0].length):-1}function parseDayOfMonth(S,C,R){var O=numberRe.exec(C.slice(R,R+2));return O?(S.d=+O[0],R+O[0].length):-1}function parseDayOfYear(S,C,R){var O=numberRe.exec(C.slice(R,R+3));return O?(S.m=0,S.d=+O[0],R+O[0].length):-1}function parseHour24(S,C,R){var O=numberRe.exec(C.slice(R,R+2));return O?(S.H=+O[0],R+O[0].length):-1}function parseMinutes(S,C,R){var O=numberRe.exec(C.slice(R,R+2));return O?(S.M=+O[0],R+O[0].length):-1}function parseSeconds(S,C,R){var O=numberRe.exec(C.slice(R,R+2));return O?(S.S=+O[0],R+O[0].length):-1}function parseMilliseconds(S,C,R){var O=numberRe.exec(C.slice(R,R+3));return O?(S.L=+O[0],R+O[0].length):-1}function parseMicroseconds(S,C,R){var O=numberRe.exec(C.slice(R,R+6));return O?(S.L=Math.floor(O[0]/1e3),R+O[0].length):-1}function parseLiteralPercent(S,C,R){var O=percentRe.exec(C.slice(R,R+1));return O?R+O[0].length:-1}function parseUnixTimestamp(S,C,R){var O=numberRe.exec(C.slice(R));return O?(S.Q=+O[0],R+O[0].length):-1}function parseUnixTimestampSeconds(S,C,R){var O=numberRe.exec(C.slice(R));return O?(S.s=+O[0],R+O[0].length):-1}function formatDayOfMonth(S,C){return pad(S.getDate(),C,2)}function formatHour24(S,C){return pad(S.getHours(),C,2)}function formatHour12(S,C){return pad(S.getHours()%12||12,C,2)}function formatDayOfYear(S,C){return pad(1+timeDay.count(timeYear(S),S),C,3)}function formatMilliseconds(S,C){return pad(S.getMilliseconds(),C,3)}function formatMicroseconds(S,C){return formatMilliseconds(S,C)+"000"}function formatMonthNumber(S,C){return pad(S.getMonth()+1,C,2)}function formatMinutes(S,C){return pad(S.getMinutes(),C,2)}function formatSeconds(S,C){return pad(S.getSeconds(),C,2)}function formatWeekdayNumberMonday(S){var C=S.getDay();return C===0?7:C}function formatWeekNumberSunday(S,C){return pad(timeSunday.count(timeYear(S)-1,S),C,2)}function dISO(S){var C=S.getDay();return C>=4||C===0?timeThursday(S):timeThursday.ceil(S)}function formatWeekNumberISO(S,C){return S=dISO(S),pad(timeThursday.count(timeYear(S),S)+(timeYear(S).getDay()===4),C,2)}function formatWeekdayNumberSunday(S){return S.getDay()}function formatWeekNumberMonday(S,C){return pad(timeMonday.count(timeYear(S)-1,S),C,2)}function formatYear(S,C){return pad(S.getFullYear()%100,C,2)}function formatYearISO(S,C){return S=dISO(S),pad(S.getFullYear()%100,C,2)}function formatFullYear(S,C){return pad(S.getFullYear()%1e4,C,4)}function formatFullYearISO(S,C){var R=S.getDay();return S=R>=4||R===0?timeThursday(S):timeThursday.ceil(S),pad(S.getFullYear()%1e4,C,4)}function formatZone(S){var C=S.getTimezoneOffset();return(C>0?"-":(C*=-1,"+"))+pad(C/60|0,"0",2)+pad(C%60,"0",2)}function formatUTCDayOfMonth(S,C){return pad(S.getUTCDate(),C,2)}function formatUTCHour24(S,C){return pad(S.getUTCHours(),C,2)}function formatUTCHour12(S,C){return pad(S.getUTCHours()%12||12,C,2)}function formatUTCDayOfYear(S,C){return pad(1+utcDay.count(utcYear(S),S),C,3)}function formatUTCMilliseconds(S,C){return pad(S.getUTCMilliseconds(),C,3)}function formatUTCMicroseconds(S,C){return formatUTCMilliseconds(S,C)+"000"}function formatUTCMonthNumber(S,C){return pad(S.getUTCMonth()+1,C,2)}function formatUTCMinutes(S,C){return pad(S.getUTCMinutes(),C,2)}function formatUTCSeconds(S,C){return pad(S.getUTCSeconds(),C,2)}function formatUTCWeekdayNumberMonday(S){var C=S.getUTCDay();return C===0?7:C}function formatUTCWeekNumberSunday(S,C){return pad(utcSunday.count(utcYear(S)-1,S),C,2)}function UTCdISO(S){var C=S.getUTCDay();return C>=4||C===0?utcThursday(S):utcThursday.ceil(S)}function formatUTCWeekNumberISO(S,C){return S=UTCdISO(S),pad(utcThursday.count(utcYear(S),S)+(utcYear(S).getUTCDay()===4),C,2)}function formatUTCWeekdayNumberSunday(S){return S.getUTCDay()}function formatUTCWeekNumberMonday(S,C){return pad(utcMonday.count(utcYear(S)-1,S),C,2)}function formatUTCYear(S,C){return pad(S.getUTCFullYear()%100,C,2)}function formatUTCYearISO(S,C){return S=UTCdISO(S),pad(S.getUTCFullYear()%100,C,2)}function formatUTCFullYear(S,C){return pad(S.getUTCFullYear()%1e4,C,4)}function formatUTCFullYearISO(S,C){var R=S.getUTCDay();return S=R>=4||R===0?utcThursday(S):utcThursday.ceil(S),pad(S.getUTCFullYear()%1e4,C,4)}function formatUTCZone(){return"+0000"}function formatLiteralPercent(){return"%"}function formatUnixTimestamp(S){return+S}function formatUnixTimestampSeconds(S){return Math.floor(+S/1e3)}var locale,timeFormat,utcFormat;defaultLocale({dateTime:"%x, %X",date:"%-m/%-d/%Y",time:"%-I:%M:%S %p",periods:["AM","PM"],days:["Sunday","Monday","Tuesday","Wednesday","Thursday","Friday","Saturday"],shortDays:["Sun","Mon","Tue","Wed","Thu","Fri","Sat"],months:["January","February","March","April","May","June","July","August","September","October","November","December"],shortMonths:["Jan","Feb","Mar","Apr","May","Jun","Jul","Aug","Sep","Oct","Nov","Dec"]});function defaultLocale(S){return locale=formatLocale(S),timeFormat=locale.format,locale.parse,utcFormat=locale.utcFormat,locale.utcParse,locale}function date(S){return new Date(S)}function number(S){return S instanceof Date?+S:+new Date(+S)}function calendar(S,C,R,O,I,N,L,B,j,F){var V=continuous(),K=V.invert,W=V.domain,X=F(".%L"),J=F(":%S"),oe=F("%I:%M"),pe=F("%I %p"),me=F("%a %d"),xe=F("%b %d"),Ae=F("%B"),ge=F("%Y");function Te(we){return(j(we)<we?X:B(we)<we?J:L(we)<we?oe:N(we)<we?pe:O(we)<we?I(we)<we?me:xe:R(we)<we?Ae:ge)(we)}return V.invert=function(we){return new Date(K(we))},V.domain=function(we){return arguments.length?W(Array.from(we,number)):W().map(date)},V.ticks=function(we){var ke=W();return S(ke[0],ke[ke.length-1],we??10)},V.tickFormat=function(we,ke){return ke==null?Te:F(ke)},V.nice=function(we){var ke=W();return(!we||typeof we.range!="function")&&(we=C(ke[0],ke[ke.length-1],we??10)),we?W(nice(ke,we)):V},V.copy=function(){return copy$1(V,calendar(S,C,R,O,I,N,L,B,j,F))},V}function time(){return initRange.apply(calendar(timeTicks,timeTickInterval,timeYear,timeMonth,timeSunday,timeDay,timeHour,timeMinute,second,timeFormat).domain([new Date(2e3,0,1),new Date(2e3,0,2)]),arguments)}function utcTime(){return initRange.apply(calendar(utcTicks,utcTickInterval,utcYear,utcMonth,utcSunday,utcDay,utcHour,utcMinute,second,utcFormat).domain([Date.UTC(2e3,0,1),Date.UTC(2e3,0,2)]),arguments)}function 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R,O,I;for((R=C.indexOf("."))>-1&&(C=C.replace(".","")),(O=C.search(/e/i))>0?(R<0&&(R=O),R+=+C.slice(O+1),C=C.substring(0,O)):R<0&&(R=C.length),O=0;C.charCodeAt(O)===48;)++O;for(I=C.length;C.charCodeAt(I-1)===48;)--I;if(C=C.slice(O,I),C){if(I-=O,R=R-O-1,S.e=mathfloor(R/LOG_BASE),S.d=[],O=(R+1)%LOG_BASE,R<0&&(O+=LOG_BASE),O<I){for(O&&S.d.push(+C.slice(0,O)),I-=LOG_BASE;O<I;)S.d.push(+C.slice(O,O+=LOG_BASE));C=C.slice(O),O=LOG_BASE-C.length}else O-=I;for(;O--;)C+="0";if(S.d.push(+C),external&&(S.e>MAX_E||S.e<-MAX_E))throw Error(exponentOutOfRange+R)}else S.s=0,S.e=0,S.d=[0];return S}function round(S,C,R){var O,I,N,L,B,j,F,V,K=S.d;for(L=1,N=K[0];N>=10;N/=10)L++;if(O=C-L,O<0)O+=LOG_BASE,I=C,F=K[V=0];else{if(V=Math.ceil((O+1)/LOG_BASE),N=K.length,V>=N)return S;for(F=N=K[V],L=1;N>=10;N/=10)L++;O%=LOG_BASE,I=O-LOG_BASE+L}if(R!==void 0&&(N=mathpow(10,L-I-1),B=F/N%10|0,j=C<0||K[V+1]!==void 0||F%N,j=R<4?(B||j)&&(R==0||R==(S.s<0?3:2)):B>5||B==5&&(R==4||j||R==6&&(O>0?I>0?F/mathpow(10,L-I):0:K[V-1])%10&1||R==(S.s<0?8:7))),C<1||!K[0])return j?(N=getBase10Exponent(S),K.length=1,C=C-N-1,K[0]=mathpow(10,(LOG_BASE-C%LOG_BASE)%LOG_BASE),S.e=mathfloor(-C/LOG_BASE)||0):(K.length=1,K[0]=S.e=S.s=0),S;if(O==0?(K.length=V,N=1,V--):(K.length=V+1,N=mathpow(10,LOG_BASE-O),K[V]=I>0?(F/mathpow(10,L-I)%mathpow(10,I)|0)*N:0),j)for(;;)if(V==0){(K[0]+=N)==BASE&&(K[0]=1,++S.e);break}else{if(K[V]+=N,K[V]!=BASE)break;K[V--]=0,N=1}for(O=K.length;K[--O]===0;)K.pop();if(external&&(S.e>MAX_E||S.e<-MAX_E))throw Error(exponentOutOfRange+getBase10Exponent(S));return S}function subtract(S,C){var R,O,I,N,L,B,j,F,V,K,W=S.constructor,X=W.precision;if(!S.s||!C.s)return C.s?C.s=-C.s:C=new W(S),external?round(C,X):C;if(j=S.d,K=C.d,O=C.e,F=S.e,j=j.slice(),L=F-O,L){for(V=L<0,V?(R=j,L=-L,B=K.length):(R=K,O=F,B=j.length),I=Math.max(Math.ceil(X/LOG_BASE),B)+2,L>I&&(L=I,R.length=1),R.reverse(),I=L;I--;)R.push(0);R.reverse()}else{for(I=j.length,B=K.length,V=I<B,V&&(B=I),I=0;I<B;I++)if(j[I]!=K[I]){V=j[I]<K[I];break}L=0}for(V&&(R=j,j=K,K=R,C.s=-C.s),B=j.length,I=K.length-B;I>0;--I)j[B++]=0;for(I=K.length;I>L;){if(j[--I]<K[I]){for(N=I;N&&j[--N]===0;)j[N]=BASE-1;--j[N],j[I]+=BASE}j[I]-=K[I]}for(;j[--B]===0;)j.pop();for(;j[0]===0;j.shift())--O;return j[0]?(C.d=j,C.e=O,external?round(C,X):C):new W(0)}function toString(S,C,R){var O,I=getBase10Exponent(S),N=digitsToString(S.d),L=N.length;return C?(R&&(O=R-L)>0?N=N.charAt(0)+"."+N.slice(1)+getZeroString(O):L>1&&(N=N.charAt(0)+"."+N.slice(1)),N=N+(I<0?"e":"e+")+I):I<0?(N="0."+getZeroString(-I-1)+N,R&&(O=R-L)>0&&(N+=getZeroString(O))):I>=L?(N+=getZeroString(I+1-L),R&&(O=R-I-1)>0&&(N=N+"."+getZeroString(O))):((O=I+1)<L&&(N=N.slice(0,O)+"."+N.slice(O)),R&&(O=R-L)>0&&(I+1===L&&(N+="."),N+=getZeroString(O))),S.s<0?"-"+N:N}function truncate(S,C){if(S.length>C)return S.length=C,!0}function clone(S){var C,R,O;function I(N){var L=this;if(!(L instanceof I))return new I(N);if(L.constructor=I,N instanceof I){L.s=N.s,L.e=N.e,L.d=(N=N.d)?N.slice():N;return}if(typeof N=="number"){if(N*0!==0)throw Error(invalidArgument+N);if(N>0)L.s=1;else if(N<0)N=-N,L.s=-1;else{L.s=0,L.e=0,L.d=[0];return}if(N===~~N&&N<1e7){L.e=0,L.d=[N];return}return parseDecimal(L,N.toString())}else if(typeof N!="string")throw Error(invalidArgument+N);if(N.charCodeAt(0)===45?(N=N.slice(1),L.s=-1):L.s=1,isDecimal.test(N))parseDecimal(L,N);else throw Error(invalidArgument+N)}if(I.prototype=P,I.ROUND_UP=0,I.ROUND_DOWN=1,I.ROUND_CEIL=2,I.ROUND_FLOOR=3,I.ROUND_HALF_UP=4,I.ROUND_HALF_DOWN=5,I.ROUND_HALF_EVEN=6,I.ROUND_HALF_CEIL=7,I.ROUND_HALF_FLOOR=8,I.clone=clone,I.config=I.set=config,S===void 0&&(S={}),S)for(O=["precision","rounding","toExpNeg","toExpPos","LN10"],C=0;C<O.length;)S.hasOwnProperty(R=O[C++])||(S[R]=this[R]);return I.config(S),I}function config(S){if(!S||typeof S!="object")throw Error(decimalError+"Object expected");var C,R,O,I=["precision",1,MAX_DIGITS,"rounding",0,8,"toExpNeg",-1/0,0,"toExpPos",0,1/0];for(C=0;C<I.length;C+=3)if((O=S[R=I[C]])!==void 0)if(mathfloor(O)===O&&O>=I[C+1]&&O<=I[C+2])this[R]=O;else throw Error(invalidArgument+R+": "+O);if((O=S[R="LN10"])!==void 0)if(O==Math.LN10)this[R]=new this(O);else throw Error(invalidArgument+R+": "+O);return this}var Decimal=clone(defaults);ONE=new Decimal(1);const Decimal$1=Decimal;function _toConsumableArray$7(S){return _arrayWithoutHoles$7(S)||_iterableToArray$7(S)||_unsupportedIterableToArray$c(S)||_nonIterableSpread$7()}function _nonIterableSpread$7(){throw new TypeError(`Invalid attempt to spread non-iterable instance.
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C=_toPrimitive$c(S,"string");return _typeof$c(C)==="symbol"?C:String(C)}function _toPrimitive$c(S,C){if(_typeof$c(S)!=="object"||S===null)return S;var R=S[Symbol.toPrimitive];if(R!==void 0){var O=R.call(S,C||"default");if(_typeof$c(O)!=="object")return O;throw new TypeError("@@toPrimitive must return a primitive value.")}return(C==="string"?String:Number)(S)}function defaultPropTransformer(S,C){return _objectSpread$b(_objectSpread$b({},C),S)}function isSymbolsProps(S,C){return S==="symbols"}function ShapeSelector(S){var C=S.shapeType,R=S.elementProps;switch(C){case"rectangle":return React.createElement(Rectangle,R);case"trapezoid":return React.createElement(Trapezoid,R);case"sector":return React.createElement(Sector,R);case"symbols":if(isSymbolsProps(C))return React.createElement(Symbols,R);break;default:return null}}function getPropsFromShapeOption(S){return reactExports.isValidElement(S)?S.props:S}function Shape(S){var C=S.option,R=S.shapeType,O=S.propTransformer,I=O===void 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V=isEqual$1(N,j),K=R.props[I].filter(function(J){var oe=getComparisonFn(R,C);return oe(J,C)}),W=R.props[I].indexOf(K[K.length-1]),X=F===W;return V&&X}),B=O.indexOf(L[L.length-1]);return B}var _class;function _typeof$b(S){"@babel/helpers - typeof";return _typeof$b=typeof Symbol=="function"&&typeof Symbol.iterator=="symbol"?function(C){return typeof C}:function(C){return C&&typeof Symbol=="function"&&C.constructor===Symbol&&C!==Symbol.prototype?"symbol":typeof C},_typeof$b(S)}function _extends$6(){return _extends$6=Object.assign?Object.assign.bind():function(S){for(var C=1;C<arguments.length;C++){var R=arguments[C];for(var O in R)Object.prototype.hasOwnProperty.call(R,O)&&(S[O]=R[O])}return S},_extends$6.apply(this,arguments)}function ownKeys$a(S,C){var R=Object.keys(S);if(Object.getOwnPropertySymbols){var O=Object.getOwnPropertySymbols(S);C&&(O=O.filter(function(I){return Object.getOwnPropertyDescriptor(S,I).enumerable})),R.push.apply(R,O)}return R}function _objectSpread$a(S){for(var C=1;C<arguments.length;C++){var R=arguments[C]!=null?arguments[C]:{};C%2?ownKeys$a(Object(R),!0).forEach(function(O){_defineProperty$b(S,O,R[O])}):Object.getOwnPropertyDescriptors?Object.defineProperties(S,Object.getOwnPropertyDescriptors(R)):ownKeys$a(Object(R)).forEach(function(O){Object.defineProperty(S,O,Object.getOwnPropertyDescriptor(R,O))})}return S}function _classCallCheck$5(S,C){if(!(S instanceof C))throw new TypeError("Cannot call a class as a function")}function _defineProperties$5(S,C){for(var R=0;R<C.length;R++){var O=C[R];O.enumerable=O.enumerable||!1,O.configurable=!0,"value"in O&&(O.writable=!0),Object.defineProperty(S,_toPropertyKey$b(O.key),O)}}function _createClass$5(S,C,R){return C&&_defineProperties$5(S.prototype,C),R&&_defineProperties$5(S,R),Object.defineProperty(S,"prototype",{writable:!1}),S}function _inherits$3(S,C){if(typeof C!="function"&&C!==null)throw new TypeError("Super expression must either be null or a 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S}function _isNativeReflectConstruct$3(){if(typeof Reflect>"u"||!Reflect.construct||Reflect.construct.sham)return!1;if(typeof Proxy=="function")return!0;try{return Boolean.prototype.valueOf.call(Reflect.construct(Boolean,[],function(){})),!0}catch{return!1}}function _getPrototypeOf$3(S){return _getPrototypeOf$3=Object.setPrototypeOf?Object.getPrototypeOf.bind():function(R){return R.__proto__||Object.getPrototypeOf(R)},_getPrototypeOf$3(S)}function _defineProperty$b(S,C,R){return C=_toPropertyKey$b(C),C in S?Object.defineProperty(S,C,{value:R,enumerable:!0,configurable:!0,writable:!0}):S[C]=R,S}function _toPropertyKey$b(S){var C=_toPrimitive$b(S,"string");return _typeof$b(C)==="symbol"?C:String(C)}function _toPrimitive$b(S,C){if(_typeof$b(S)!=="object"||S===null)return S;var R=S[Symbol.toPrimitive];if(R!==void 0){var O=R.call(S,C||"default");if(_typeof$b(O)!=="object")return O;throw new TypeError("@@toPrimitive must return a primitive value.")}return(C==="string"?String:Number)(S)}var 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I=this.props.activeIndex;return Array.isArray(I)?I.length!==0:I||I===0}},{key:"renderLabels",value:function(I){var N=this.props.isAnimationActive;if(N&&!this.state.isAnimationFinished)return null;var L=this.props,B=L.label,j=L.labelLine,F=L.dataKey,V=L.valueKey,K=filterProps(this.props),W=filterProps(B),X=filterProps(j),J=B&&B.offsetRadius||20,oe=I.map(function(pe,me){var xe=(pe.startAngle+pe.endAngle)/2,Ae=polarToCartesian(pe.cx,pe.cy,pe.outerRadius+J,xe),ge=_objectSpread$a(_objectSpread$a(_objectSpread$a(_objectSpread$a({},K),pe),{},{stroke:"none"},W),{},{index:me,textAnchor:R.getTextAnchor(Ae.x,pe.cx)},Ae),Te=_objectSpread$a(_objectSpread$a(_objectSpread$a(_objectSpread$a({},K),pe),{},{fill:"none",stroke:pe.fill},X),{},{index:me,points:[polarToCartesian(pe.cx,pe.cy,pe.outerRadius,xe),Ae],key:"line"}),we=F;return isNil$1(F)&&isNil$1(V)?we="value":isNil$1(F)&&(we=V),React.createElement(Layer,{key:"label-".concat(pe.startAngle,"-").concat(pe.endAngle)},j&&R.renderLabelLineItem(j,Te),R.renderLabelItem(B,ge,getValueByDataKey(pe,we)))});return React.createElement(Layer,{className:"recharts-pie-labels"},oe)}},{key:"renderSectorsStatically",value:function(I){var N=this,L=this.props,B=L.activeShape,j=L.blendStroke,F=L.inactiveShape;return I.map(function(V,K){if((V==null?void 0:V.startAngle)===0&&(V==null?void 0:V.endAngle)===0&&I.length!==1)return null;var W=N.isActiveIndex(K),X=F&&N.hasActiveIndex()?F:null,J=W?B:X,oe=_objectSpread$a(_objectSpread$a({},V),{},{stroke:j?V.fill:V.stroke,tabIndex:-1});return React.createElement(Layer,_extends$6({ref:function(me){me&&!N.sectorRefs.includes(me)&&N.sectorRefs.push(me)},tabIndex:-1,className:"recharts-pie-sector"},adaptEventsOfChild(N.props,V,K),{key:"sector-".concat(V==null?void 0:V.startAngle,"-").concat(V==null?void 0:V.endAngle,"-").concat(V.midAngle)}),React.createElement(Shape,_extends$6({option:J,isActive:W,shapeType:"sector"},oe)))})}},{key:"renderSectorsWithAnimation",value:function(){var I=this,N=this.props,L=N.sectors,B=N.isAnimationActive,j=N.animationBegin,F=N.animationDuration,V=N.animationEasing,K=N.animationId,W=this.state,X=W.prevSectors,J=W.prevIsAnimationActive;return React.createElement(Animate,{begin:j,duration:F,isActive:B,easing:V,from:{t:0},to:{t:1},key:"pie-".concat(K,"-").concat(J),onAnimationStart:this.handleAnimationStart,onAnimationEnd:this.handleAnimationEnd},function(oe){var pe=oe.t,me=[],xe=L&&L[0],Ae=xe.startAngle;return L.forEach(function(ge,Te){var we=X&&X[Te],ke=Te>0?get$5(ge,"paddingAngle",0):0;if(we){var Be=interpolateNumber$2(we.endAngle-we.startAngle,ge.endAngle-ge.startAngle),Ie=_objectSpread$a(_objectSpread$a({},ge),{},{startAngle:Ae+ke,endAngle:Ae+Be(pe)+ke});me.push(Ie),Ae=Ie.endAngle}else{var je=ge.endAngle,Ke=ge.startAngle,Je=interpolateNumber$2(0,je-Ke),Xe=Je(pe),ot=_objectSpread$a(_objectSpread$a({},ge),{},{startAngle:Ae+ke,endAngle:Ae+Xe+ke});me.push(ot),Ae=ot.endAngle}}),React.createElement(Layer,null,I.renderSectorsStatically(me))})}},{key:"attachKeyboardHandlers",value:function(I){var N=this;I.onkeydown=function(L){if(!L.altKey)switch(L.key){case"ArrowLeft":{var B=++N.state.sectorToFocus%N.sectorRefs.length;N.sectorRefs[B].focus(),N.setState({sectorToFocus:B});break}case"ArrowRight":{var j=--N.state.sectorToFocus<0?N.sectorRefs.length-1:N.state.sectorToFocus%N.sectorRefs.length;N.sectorRefs[j].focus(),N.setState({sectorToFocus:j});break}case"Escape":{N.sectorRefs[N.state.sectorToFocus].blur(),N.setState({sectorToFocus:0});break}}}}},{key:"renderSectors",value:function(){var I=this.props,N=I.sectors,L=I.isAnimationActive,B=this.state.prevSectors;return L&&N&&N.length&&(!B||!isEqual$1(B,N))?this.renderSectorsWithAnimation():this.renderSectorsStatically(N)}},{key:"componentDidMount",value:function(){this.pieRef&&this.attachKeyboardHandlers(this.pieRef)}},{key:"render",value:function(){var I=this,N=this.props,L=N.hide,B=N.sectors,j=N.className,F=N.label,V=N.cx,K=N.cy,W=N.innerRadius,X=N.outerRadius,J=N.isAnimationActive,oe=this.state.isAnimationFinished;if(L||!B||!B.length||!isNumber(V)||!isNumber(K)||!isNumber(W)||!isNumber(X))return null;var pe=clsx("recharts-pie",j);return React.createElement(Layer,{tabIndex:this.props.rootTabIndex,className:pe,ref:function(xe){I.pieRef=xe}},this.renderSectors(),F&&this.renderLabels(B),Label.renderCallByParent(this.props,null,!1),(!J||oe)&&LabelList.renderCallByParent(this.props,B,!1))}}],[{key:"getDerivedStateFromProps",value:function(I,N){return N.prevIsAnimationActive!==I.isAnimationActive?{prevIsAnimationActive:I.isAnimationActive,prevAnimationId:I.animationId,curSectors:I.sectors,prevSectors:[],isAnimationFinished:!0}:I.isAnimationActive&&I.animationId!==N.prevAnimationId?{prevAnimationId:I.animationId,curSectors:I.sectors,prevSectors:N.curSectors,isAnimationFinished:!0}:I.sectors!==N.curSectors?{curSectors:I.sectors,isAnimationFinished:!0}:null}},{key:"getTextAnchor",value:function(I,N){return I>N?"start":I<N?"end":"middle"}},{key:"renderLabelLineItem",value:function(I,N){return React.isValidElement(I)?React.cloneElement(I,N):isFunction$6(I)?I(N):React.createElement(Curve,_extends$6({},N,{type:"linear",className:"recharts-pie-label-line"}))}},{key:"renderLabelItem",value:function(I,N,L){if(React.isValidElement(I))return React.cloneElement(I,N);var B=L;return isFunction$6(I)&&(B=I(N),React.isValidElement(B))?B:React.createElement(Text$1,_extends$6({},N,{alignmentBaseline:"middle",className:"recharts-pie-label-text"}),B)}}]),R}(reactExports.PureComponent);_class=Pie,_defineProperty$b(Pie,"displayName","Pie"),_defineProperty$b(Pie,"defaultProps",{stroke:"#fff",fill:"#808080",legendType:"rect",cx:"50%",cy:"50%",startAngle:0,endAngle:360,innerRadius:0,outerRadius:"80%",paddingAngle:0,labelLine:!0,hide:!1,minAngle:0,isAnimationActive:!Global.isSsr,animationBegin:400,animationDuration:1500,animationEasing:"ease",nameKey:"name",blendStroke:!1,rootTabIndex:0}),_defineProperty$b(Pie,"parseDeltaAngle",function(S,C){var R=mathSign(C-S),O=Math.min(Math.abs(C-S),360);return R*O}),_defineProperty$b(Pie,"getRealPieData",function(S){var C=S.props,R=C.data,O=C.children,I=filterProps(S.props),N=findAllByType(O,Cell);return R&&R.length?R.map(function(L,B){return _objectSpread$a(_objectSpread$a(_objectSpread$a({payload:L},I),L),N&&N[B]&&N[B].props)}):N&&N.length?N.map(function(L){return _objectSpread$a(_objectSpread$a({},I),L.props)}):[]}),_defineProperty$b(Pie,"parseCoordinateOfPie",function(S,C){var R=C.top,O=C.left,I=C.width,N=C.height,L=getMaxRadius(I,N),B=O+getPercentValue(S.props.cx,I,I/2),j=R+getPercentValue(S.props.cy,N,N/2),F=getPercentValue(S.props.innerRadius,L,0),V=getPercentValue(S.props.outerRadius,L,L*.8),K=S.props.maxRadius||Math.sqrt(I*I+N*N)/2;return{cx:B,cy:j,innerRadius:F,outerRadius:V,maxRadius:K}}),_defineProperty$b(Pie,"getComposedData",function(S){var C=S.item,R=S.offset,O=_class.getRealPieData(C);if(!O||!O.length)return null;var I=C.props,N=I.cornerRadius,L=I.startAngle,B=I.endAngle,j=I.paddingAngle,F=I.dataKey,V=I.nameKey,K=I.valueKey,W=I.tooltipType,X=Math.abs(C.props.minAngle),J=_class.parseCoordinateOfPie(C,R),oe=_class.parseDeltaAngle(L,B),pe=Math.abs(oe),me=F;isNil$1(F)&&isNil$1(K)?(warn$1(!1,`Use "dataKey" to specify the value of pie,
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_typeof$a(S){"@babel/helpers - typeof";return _typeof$a=typeof Symbol=="function"&&typeof Symbol.iterator=="symbol"?function(C){return typeof C}:function(C){return C&&typeof Symbol=="function"&&C.constructor===Symbol&&C!==Symbol.prototype?"symbol":typeof C},_typeof$a(S)}function ownKeys$9(S,C){var R=Object.keys(S);if(Object.getOwnPropertySymbols){var O=Object.getOwnPropertySymbols(S);C&&(O=O.filter(function(I){return Object.getOwnPropertyDescriptor(S,I).enumerable})),R.push.apply(R,O)}return R}function _objectSpread$9(S){for(var C=1;C<arguments.length;C++){var R=arguments[C]!=null?arguments[C]:{};C%2?ownKeys$9(Object(R),!0).forEach(function(O){_defineProperty$a(S,O,R[O])}):Object.getOwnPropertyDescriptors?Object.defineProperties(S,Object.getOwnPropertyDescriptors(R)):ownKeys$9(Object(R)).forEach(function(O){Object.defineProperty(S,O,Object.getOwnPropertyDescriptor(R,O))})}return S}function _defineProperty$a(S,C,R){return C=_toPropertyKey$a(C),C in S?Object.defineProperty(S,C,{value:R,enumerable:!0,configurable:!0,writable:!0}):S[C]=R,S}function _toPropertyKey$a(S){var C=_toPrimitive$a(S,"string");return _typeof$a(C)==="symbol"?C:String(C)}function _toPrimitive$a(S,C){if(_typeof$a(S)!=="object"||S===null)return S;var R=S[Symbol.toPrimitive];if(R!==void 0){var O=R.call(S,C||"default");if(_typeof$a(O)!=="object")return O;throw new TypeError("@@toPrimitive must return a primitive value.")}return(C==="string"?String:Number)(S)}var PREFIX_LIST=["Webkit","Moz","O","ms"],generatePrefixStyle=function S(C,R){if(!C)return null;var O=C.replace(/(\w)/,function(N){return N.toUpperCase()}),I=PREFIX_LIST.reduce(function(N,L){return _objectSpread$9(_objectSpread$9({},N),{},_defineProperty$a({},L+O,R))},{});return I[C]=R,I};function _typeof$9(S){"@babel/helpers - typeof";return _typeof$9=typeof Symbol=="function"&&typeof Symbol.iterator=="symbol"?function(C){return typeof C}:function(C){return C&&typeof 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R.__proto__||Object.getPrototypeOf(R)},_getPrototypeOf$2(S)}function _defineProperty$9(S,C,R){return C=_toPropertyKey$9(C),C in S?Object.defineProperty(S,C,{value:R,enumerable:!0,configurable:!0,writable:!0}):S[C]=R,S}function _toPropertyKey$9(S){var C=_toPrimitive$9(S,"string");return _typeof$9(C)==="symbol"?C:String(C)}function _toPrimitive$9(S,C){if(_typeof$9(S)!=="object"||S===null)return S;var R=S[Symbol.toPrimitive];if(R!==void 0){var O=R.call(S,C||"default");if(_typeof$9(O)!=="object")return O;throw new TypeError("@@toPrimitive must return a primitive value.")}return(C==="string"?String:Number)(S)}var createScale=function S(C){var R=C.data,O=C.startIndex,I=C.endIndex,N=C.x,L=C.width,B=C.travellerWidth;if(!R||!R.length)return{};var j=R.length,F=point().domain(range$4(0,j)).range([N,N+L-B]),V=F.domain().map(function(K){return F(K)});return{isTextActive:!1,isSlideMoving:!1,isTravellerMoving:!1,isTravellerFocused:!1,startX:F(O),endX:F(I),scale:F,scaleValues:V}},isTouch=function 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L=isTouch(N)?N.changedTouches[0]:N;this.setState({isSlideMoving:!1,isTravellerMoving:!0,movingTravellerId:I,brushMoveStartX:L.pageX}),this.attachDragEndListener()}},{key:"handleTravellerMove",value:function(I){var N,L=this.state,B=L.brushMoveStartX,j=L.movingTravellerId,F=L.endX,V=L.startX,K=this.state[j],W=this.props,X=W.x,J=W.width,oe=W.travellerWidth,pe=W.onChange,me=W.gap,xe=W.data,Ae={startX:this.state.startX,endX:this.state.endX},ge=I.pageX-B;ge>0?ge=Math.min(ge,X+J-oe-K):ge<0&&(ge=Math.max(ge,X-K)),Ae[j]=K+ge;var Te=this.getIndex(Ae),we=Te.startIndex,ke=Te.endIndex,Be=function(){var je=xe.length-1;return j==="startX"&&(F>V?we%me===0:ke%me===0)||F<V&&ke===je||j==="endX"&&(F>V?ke%me===0:we%me===0)||F>V&&ke===je};this.setState((N={},_defineProperty$9(N,j,K+ge),_defineProperty$9(N,"brushMoveStartX",I.pageX),N),function(){pe&&Be()&&pe(Te)})}},{key:"handleTravellerMoveKeyboard",value:function(I,N){var L=this,B=this.state,j=B.scaleValues,F=B.startX,V=B.endX,K=this.state[N],W=j.indexOf(K);if(W!==-1){var X=W+I;if(!(X===-1||X>=j.length)){var J=j[X];N==="startX"&&J>=V||N==="endX"&&J<=F||this.setState(_defineProperty$9({},N,J),function(){L.props.onChange(L.getIndex({startX:L.state.startX,endX:L.state.endX}))})}}}},{key:"renderBackground",value:function(){var I=this.props,N=I.x,L=I.y,B=I.width,j=I.height,F=I.fill,V=I.stroke;return React.createElement("rect",{stroke:V,fill:F,x:N,y:L,width:B,height:j})}},{key:"renderPanorama",value:function(){var I=this.props,N=I.x,L=I.y,B=I.width,j=I.height,F=I.data,V=I.children,K=I.padding,W=reactExports.Children.only(V);return W?React.cloneElement(W,{x:N,y:L,width:B,height:j,margin:K,compact:!0,data:F}):null}},{key:"renderTravellerLayer",value:function(I,N){var L=this,B=this.props,j=B.y,F=B.travellerWidth,V=B.height,K=B.traveller,W=B.ariaLabel,X=B.data,J=B.startIndex,oe=B.endIndex,pe=Math.max(I,this.props.x),me=_objectSpread$8(_objectSpread$8({},filterProps(this.props)),{},{x:pe,y:j,width:F,height:V}),xe=W||"Min value: ".concat(X[J].name,", Max value: ").concat(X[oe].name);return React.createElement(Layer,{tabIndex:0,role:"slider","aria-label":xe,"aria-valuenow":I,className:"recharts-brush-traveller",onMouseEnter:this.handleEnterSlideOrTraveller,onMouseLeave:this.handleLeaveSlideOrTraveller,onMouseDown:this.travellerDragStartHandlers[N],onTouchStart:this.travellerDragStartHandlers[N],onKeyDown:function(ge){["ArrowLeft","ArrowRight"].includes(ge.key)&&(ge.preventDefault(),ge.stopPropagation(),L.handleTravellerMoveKeyboard(ge.key==="ArrowRight"?1:-1,N))},onFocus:function(){L.setState({isTravellerFocused:!0})},onBlur:function(){L.setState({isTravellerFocused:!1})},style:{cursor:"col-resize"}},R.renderTraveller(K,me))}},{key:"renderSlide",value:function(I,N){var L=this.props,B=L.y,j=L.height,F=L.stroke,V=L.travellerWidth,K=Math.min(I,N)+V,W=Math.max(Math.abs(N-I)-V,0);return React.createElement("rect",{className:"recharts-brush-slide",onMouseEnter:this.handleEnterSlideOrTraveller,onMouseLeave:this.handleLeaveSlideOrTraveller,onMouseDown:this.handleSlideDragStart,onTouchStart:this.handleSlideDragStart,style:{cursor:"move"},stroke:"none",fill:F,fillOpacity:.2,x:K,y:B,width:W,height:j})}},{key:"renderText",value:function(){var I=this.props,N=I.startIndex,L=I.endIndex,B=I.y,j=I.height,F=I.travellerWidth,V=I.stroke,K=this.state,W=K.startX,X=K.endX,J=5,oe={pointerEvents:"none",fill:V};return React.createElement(Layer,{className:"recharts-brush-texts"},React.createElement(Text$1,_extends$5({textAnchor:"end",verticalAnchor:"middle",x:Math.min(W,X)-J,y:B+j/2},oe),this.getTextOfTick(N)),React.createElement(Text$1,_extends$5({textAnchor:"start",verticalAnchor:"middle",x:Math.max(W,X)+F+J,y:B+j/2},oe),this.getTextOfTick(L)))}},{key:"render",value:function(){var I=this.props,N=I.data,L=I.className,B=I.children,j=I.x,F=I.y,V=I.width,K=I.height,W=I.alwaysShowText,X=this.state,J=X.startX,oe=X.endX,pe=X.isTextActive,me=X.isSlideMoving,xe=X.isTravellerMoving,Ae=X.isTravellerFocused;if(!N||!N.length||!isNumber(j)||!isNumber(F)||!isNumber(V)||!isNumber(K)||V<=0||K<=0)return null;var ge=clsx("recharts-brush",L),Te=React.Children.count(B)===1,we=generatePrefixStyle("userSelect","none");return React.createElement(Layer,{className:ge,onMouseLeave:this.handleLeaveWrapper,onTouchMove:this.handleTouchMove,style:we},this.renderBackground(),Te&&this.renderPanorama(),this.renderSlide(J,oe),this.renderTravellerLayer(J,"startX"),this.renderTravellerLayer(oe,"endX"),(pe||me||xe||Ae||W)&&this.renderText())}}],[{key:"renderDefaultTraveller",value:function(I){var N=I.x,L=I.y,B=I.width,j=I.height,F=I.stroke,V=Math.floor(L+j/2)-1;return React.createElement(React.Fragment,null,React.createElement("rect",{x:N,y:L,width:B,height:j,fill:F,stroke:"none"}),React.createElement("line",{x1:N+1,y1:V,x2:N+B-1,y2:V,fill:"none",stroke:"#fff"}),React.createElement("line",{x1:N+1,y1:V+2,x2:N+B-1,y2:V+2,fill:"none",stroke:"#fff"}))}},{key:"renderTraveller",value:function(I,N){var L;return React.isValidElement(I)?L=React.cloneElement(I,N):isFunction$6(I)?L=I(N):L=R.renderDefaultTraveller(N),L}},{key:"getDerivedStateFromProps",value:function(I,N){var L=I.data,B=I.width,j=I.x,F=I.travellerWidth,V=I.updateId,K=I.startIndex,W=I.endIndex;if(L!==N.prevData||V!==N.prevUpdateId)return _objectSpread$8({prevData:L,prevTravellerWidth:F,prevUpdateId:V,prevX:j,prevWidth:B},L&&L.length?createScale({data:L,width:B,x:j,travellerWidth:F,startIndex:K,endIndex:W}):{scale:null,scaleValues:null});if(N.scale&&(B!==N.prevWidth||j!==N.prevX||F!==N.prevTravellerWidth)){N.scale.range([j,j+B-F]);var X=N.scale.domain().map(function(J){return 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some$1=getDefaultExportFromCjs(some_1);var ifOverflowMatches=function S(C,R){var O=C.alwaysShow,I=C.ifOverflow;return O&&(I="extendDomain"),I===R};function arrayEvery$1(S,C){for(var R=-1,O=S==null?0:S.length;++R<O;)if(!C(S[R],R,S))return!1;return!0}var _arrayEvery=arrayEvery$1,baseEach=_baseEach;function baseEvery$1(S,C){var R=!0;return baseEach(S,function(O,I,N){return R=!!C(O,I,N),R}),R}var _baseEvery=baseEvery$1,arrayEvery=_arrayEvery,baseEvery=_baseEvery,baseIteratee=_baseIteratee,isArray=isArray_1,isIterateeCall=_isIterateeCall;function every(S,C,R){var O=isArray(S)?arrayEvery:baseEvery;return R&&isIterateeCall(S,C,R)&&(C=void 0),O(S,baseIteratee(C))}var every_1=every;const every$1=getDefaultExportFromCjs(every_1);function _typeof$8(S){"@babel/helpers - typeof";return _typeof$8=typeof Symbol=="function"&&typeof Symbol.iterator=="symbol"?function(C){return typeof C}:function(C){return C&&typeof Symbol=="function"&&C.constructor===Symbol&&C!==Symbol.prototype?"symbol":typeof 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R=arguments[C]!=null?arguments[C]:{};C%2?ownKeys$7(Object(R),!0).forEach(function(O){_defineProperty$8(S,O,R[O])}):Object.getOwnPropertyDescriptors?Object.defineProperties(S,Object.getOwnPropertyDescriptors(R)):ownKeys$7(Object(R)).forEach(function(O){Object.defineProperty(S,O,Object.getOwnPropertyDescriptor(R,O))})}return S}function _defineProperty$8(S,C,R){return C=_toPropertyKey$8(C),C in S?Object.defineProperty(S,C,{value:R,enumerable:!0,configurable:!0,writable:!0}):S[C]=R,S}function _toPropertyKey$8(S){var C=_toPrimitive$8(S,"string");return _typeof$8(C)==="symbol"?C:String(C)}function _toPrimitive$8(S,C){if(_typeof$8(S)!=="object"||S===null)return S;var R=S[Symbol.toPrimitive];if(R!==void 0){var O=R.call(S,C||"default");if(_typeof$8(O)!=="object")return O;throw new TypeError("@@toPrimitive must return a primitive value.")}return(C==="string"?String:Number)(S)}var rectWithPoints=function S(C,R){var O=C.x,I=C.y,N=R.x,L=R.y;return{x:Math.min(O,N),y:Math.min(I,L),width:Math.abs(N-O),height:Math.abs(L-I)}},rectWithCoords=function S(C){var R=C.x1,O=C.y1,I=C.x2,N=C.y2;return rectWithPoints({x:R,y:O},{x:I,y:N})},ScaleHelper=function(){function S(C){_classCallCheck$3(this,S),this.scale=C}return _createClass$3(S,[{key:"domain",get:function(){return this.scale.domain}},{key:"range",get:function(){return this.scale.range}},{key:"rangeMin",get:function(){return this.range()[0]}},{key:"rangeMax",get:function(){return this.range()[1]}},{key:"bandwidth",get:function(){return this.scale.bandwidth}},{key:"apply",value:function(R){var O=arguments.length>1&&arguments[1]!==void 0?arguments[1]:{},I=O.bandAware,N=O.position;if(R!==void 0){if(N)switch(N){case"start":return this.scale(R);case"middle":{var L=this.bandwidth?this.bandwidth()/2:0;return this.scale(R)+L}case"end":{var B=this.bandwidth?this.bandwidth():0;return this.scale(R)+B}default:return this.scale(R)}if(I){var j=this.bandwidth?this.bandwidth()/2:0;return this.scale(R)+j}return this.scale(R)}}},{key:"isInRange",value:function(R){var O=this.range(),I=O[0],N=O[O.length-1];return I<=N?R>=I&&R<=N:R>=N&&R<=I}}],[{key:"create",value:function(R){return new S(R)}}]),S}();_defineProperty$8(ScaleHelper,"EPS",1e-4);var createLabeledScales=function S(C){var R=Object.keys(C).reduce(function(O,I){return _objectSpread$7(_objectSpread$7({},O),{},_defineProperty$8({},I,ScaleHelper.create(C[I])))},{});return _objectSpread$7(_objectSpread$7({},R),{},{apply:function(I){var N=arguments.length>1&&arguments[1]!==void 0?arguments[1]:{},L=N.bandAware,B=N.position;return mapValues$1(I,function(j,F){return R[F].apply(j,{bandAware:L,position:B})})},isInRange:function(I){return every$1(I,function(N,L){return R[L].isInRange(N)})}})};function normalizeAngle(S){return(S%180+180)%180}var getAngledRectangleWidth=function S(C){var R=C.width,O=C.height,I=arguments.length>1&&arguments[1]!==void 0?arguments[1]:0,N=normalizeAngle(I),L=N*Math.PI/180,B=Math.atan(O/R),j=L>B&&L<Math.PI-B?O/Math.sin(L):R/Math.cos(L);return Math.abs(j)};function _typeof$7(S){"@babel/helpers - typeof";return _typeof$7=typeof Symbol=="function"&&typeof Symbol.iterator=="symbol"?function(C){return typeof C}:function(C){return C&&typeof Symbol=="function"&&C.constructor===Symbol&&C!==Symbol.prototype?"symbol":typeof C},_typeof$7(S)}function ownKeys$6(S,C){var R=Object.keys(S);if(Object.getOwnPropertySymbols){var O=Object.getOwnPropertySymbols(S);C&&(O=O.filter(function(I){return Object.getOwnPropertyDescriptor(S,I).enumerable})),R.push.apply(R,O)}return R}function _objectSpread$6(S){for(var C=1;C<arguments.length;C++){var R=arguments[C]!=null?arguments[C]:{};C%2?ownKeys$6(Object(R),!0).forEach(function(O){_defineProperty$7(S,O,R[O])}):Object.getOwnPropertyDescriptors?Object.defineProperties(S,Object.getOwnPropertyDescriptors(R)):ownKeys$6(Object(R)).forEach(function(O){Object.defineProperty(S,O,Object.getOwnPropertyDescriptor(R,O))})}return S}function _defineProperty$7(S,C,R){return C=_toPropertyKey$7(C),C in S?Object.defineProperty(S,C,{value:R,enumerable:!0,configurable:!0,writable:!0}):S[C]=R,S}function _toPropertyKey$7(S){var C=_toPrimitive$7(S,"string");return _typeof$7(C)==="symbol"?C:String(C)}function _toPrimitive$7(S,C){if(_typeof$7(S)!=="object"||S===null)return S;var R=S[Symbol.toPrimitive];if(R!==void 0){var O=R.call(S,C||"default");if(_typeof$7(O)!=="object")return O;throw new TypeError("@@toPrimitive must return a primitive value.")}return(C==="string"?String:Number)(S)}function _slicedToArray$1(S,C){return 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new TypeError("Cannot call a class as a function")}function _defineProperties$2(S,C){for(var R=0;R<C.length;R++){var O=C[R];O.enumerable=O.enumerable||!1,O.configurable=!0,"value"in O&&(O.writable=!0),Object.defineProperty(S,_toPropertyKey$3(O.key),O)}}function _createClass$2(S,C,R){return C&&_defineProperties$2(S.prototype,C),R&&_defineProperties$2(S,R),Object.defineProperty(S,"prototype",{writable:!1}),S}function _inherits$1(S,C){if(typeof C!="function"&&C!==null)throw new TypeError("Super expression must either be null or a function");S.prototype=Object.create(C&&C.prototype,{constructor:{value:S,writable:!0,configurable:!0}}),Object.defineProperty(S,"prototype",{writable:!1}),C&&_setPrototypeOf$1(S,C)}function _setPrototypeOf$1(S,C){return _setPrototypeOf$1=Object.setPrototypeOf?Object.setPrototypeOf.bind():function(O,I){return O.__proto__=I,O},_setPrototypeOf$1(S,C)}function _createSuper$1(S){var C=_isNativeReflectConstruct$1();return function(){var 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R.__proto__||Object.getPrototypeOf(R)},_getPrototypeOf$1(S)}function _defineProperty$3(S,C,R){return C=_toPropertyKey$3(C),C in S?Object.defineProperty(S,C,{value:R,enumerable:!0,configurable:!0,writable:!0}):S[C]=R,S}function _toPropertyKey$3(S){var C=_toPrimitive$3(S,"string");return _typeof$3(C)==="symbol"?C:String(C)}function _toPrimitive$3(S,C){if(_typeof$3(S)!=="object"||S===null)return S;var R=S[Symbol.toPrimitive];if(R!==void 0){var O=R.call(S,C||"default");if(_typeof$3(O)!=="object")return O;throw new TypeError("@@toPrimitive must return a primitive value.")}return(C==="string"?String:Number)(S)}var CartesianAxis=function(S){_inherits$1(R,S);var C=_createSuper$1(R);function R(O){var I;return _classCallCheck$2(this,R),I=C.call(this,O),I.state={fontSize:"",letterSpacing:""},I}return _createClass$2(R,[{key:"shouldComponentUpdate",value:function(I,N){var 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+W*F,pe=me+ge*Te,Ae=pe+ge*X,xe=we;break}return{line:{x1:J,y1:pe,x2:oe,y2:me},tick:{x:xe,y:Ae}}}},{key:"getTickTextAnchor",value:function(){var I=this.props,N=I.orientation,L=I.mirror,B;switch(N){case"left":B=L?"start":"end";break;case"right":B=L?"end":"start";break;default:B="middle";break}return B}},{key:"getTickVerticalAnchor",value:function(){var I=this.props,N=I.orientation,L=I.mirror,B="end";switch(N){case"left":case"right":B="middle";break;case"top":B=L?"start":"end";break;default:B=L?"end":"start";break}return B}},{key:"renderAxisLine",value:function(){var I=this.props,N=I.x,L=I.y,B=I.width,j=I.height,F=I.orientation,V=I.mirror,K=I.axisLine,W=_objectSpread$2(_objectSpread$2(_objectSpread$2({},filterProps(this.props)),filterProps(K)),{},{fill:"none"});if(F==="top"||F==="bottom"){var X=+(F==="top"&&!V||F==="bottom"&&V);W=_objectSpread$2(_objectSpread$2({},W),{},{x1:N,y1:L+X*j,x2:N+B,y2:L+X*j})}else{var 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React.createElement(Layer,_extends$1({className:"recharts-cartesian-axis-tick",key:"tick-".concat(Te.value,"-").concat(Te.coordinate,"-").concat(Te.tickCoord)},adaptEventsOfChild(B.props,Te,we)),F&&React.createElement("line",_extends$1({},Ae,Be,{className:clsx("recharts-cartesian-axis-tick-line",get$5(F,"className"))})),K&&R.renderTickItem(K,je,"".concat(isFunction$6(W)?W(Te.value,we):Te.value).concat(X||"")))});return React.createElement("g",{className:"recharts-cartesian-axis-ticks"},ge)}},{key:"render",value:function(){var I=this,N=this.props,L=N.axisLine,B=N.width,j=N.height,F=N.ticksGenerator,V=N.className,K=N.hide;if(K)return null;var W=this.props,X=W.ticks,J=_objectWithoutProperties$1(W,_excluded3),oe=X;return 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define_process_env_default$d={},isProduction=define_process_env_default$d.NODE_ENV==="production",prefix="Invariant failed";function invariant(S,C){if(!S){if(isProduction)throw new Error(prefix);var R=typeof C=="function"?C():C,O=R?"".concat(prefix,": ").concat(R):prefix;throw new Error(O)}}function _toConsumableArray$1(S){return _arrayWithoutHoles$1(S)||_iterableToArray$1(S)||_unsupportedIterableToArray$1(S)||_nonIterableSpread$1()}function _nonIterableSpread$1(){throw new TypeError(`Invalid attempt to spread non-iterable instance.
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L.length>0?L:C&&C.length&&isNumber(I)&&isNumber(N)?C.slice(I,N+1):[]};function getDefaultDomainByAxisType(S){return S==="number"?[0,"auto"]:void 0}var getTooltipContent=function S(C,R,O,I){var N=C.graphicalItems,L=C.tooltipAxis,B=getDisplayedData(R,C);return O<0||!N||!N.length||O>=B.length?null:N.reduce(function(j,F){var V,K=F.props.hide;if(K)return j;var W=(V=F.props.data)!==null&&V!==void 0?V:R;W&&C.dataStartIndex+C.dataEndIndex!==0&&(W=W.slice(C.dataStartIndex,C.dataEndIndex+1));var X;if(L.dataKey&&!L.allowDuplicatedCategory){var J=W===void 0?B:W;X=findEntryInArray(J,L.dataKey,I)}else X=W&&W[O]||B[O];return X?[].concat(_toConsumableArray(j),[getTooltipItem(F,X)]):j},[])},getTooltipData=function S(C,R,O,I){var N=I||{x:C.chartX,y:C.chartY},L=calculateTooltipPos(N,O),B=C.orderedTooltipTicks,j=C.tooltipAxis,F=C.tooltipTicks,V=calculateActiveTickIndex(L,B,F,j);if(V>=0&&F){var K=F[V]&&F[V].value,W=getTooltipContent(C,R,V,K),X=getActiveCoordinate(O,B,V,N);return{activeTooltipIndex:V,activeLabel:K,activePayload:W,activeCoordinate:X}}return null},getAxisMapByAxes=function S(C,R){var O=R.axes,I=R.graphicalItems,N=R.axisType,L=R.axisIdKey,B=R.stackGroups,j=R.dataStartIndex,F=R.dataEndIndex,V=C.layout,K=C.children,W=C.stackOffset,X=isCategoricalAxis(V,N);return O.reduce(function(J,oe){var pe,me=oe.props,xe=me.type,Ae=me.dataKey,ge=me.allowDataOverflow,Te=me.allowDuplicatedCategory,we=me.scale,ke=me.ticks,Be=me.includeHidden,Ie=oe.props[L];if(J[Ie])return J;var je=getDisplayedData(C.data,{graphicalItems:I.filter(function(ht){return ht.props[L]===Ie}),dataStartIndex:j,dataEndIndex:F}),Ke=je.length,Je,Xe,ot;isDomainSpecifiedByUser(oe.props.domain,ge,xe)&&(Je=parseSpecifiedDomain(oe.props.domain,null,ge),X&&(xe==="number"||we!=="auto")&&(ot=getDomainOfDataByKey(je,Ae,"category")));var tt=getDefaultDomainByAxisType(xe);if(!Je||Je.length===0){var Ue,et=(Ue=oe.props.domain)!==null&&Ue!==void 0?Ue:tt;if(Ae){if(Je=getDomainOfDataByKey(je,Ae,xe),xe==="category"&&X){var dt=hasDuplicate(Je);Te&&dt?(Xe=Je,Je=range$4(0,Ke)):Te||(Je=parseDomainOfCategoryAxis(et,Je,oe).reduce(function(ht,Ct){return ht.indexOf(Ct)>=0?ht:[].concat(_toConsumableArray(ht),[Ct])},[]))}else if(xe==="category")Te?Je=Je.filter(function(ht){return ht!==""&&!isNil$1(ht)}):Je=parseDomainOfCategoryAxis(et,Je,oe).reduce(function(ht,Ct){return ht.indexOf(Ct)>=0||Ct===""||isNil$1(Ct)?ht:[].concat(_toConsumableArray(ht),[Ct])},[]);else if(xe==="number"){var gt=parseErrorBarsOfAxis(je,I.filter(function(ht){return ht.props[L]===Ie&&(Be||!ht.props.hide)}),Ae,N,V);gt&&(Je=gt)}X&&(xe==="number"||we!=="auto")&&(ot=getDomainOfDataByKey(je,Ae,"category"))}else X?Je=range$4(0,Ke):B&&B[Ie]&&B[Ie].hasStack&&xe==="number"?Je=W==="expand"?[0,1]:getDomainOfStackGroups(B[Ie].stackGroups,j,F):Je=getDomainOfItemsWithSameAxis(je,I.filter(function(ht){return ht.props[L]===Ie&&(Be||!ht.props.hide)}),xe,V,!0);if(xe==="number")Je=detectReferenceElementsDomain(K,Je,Ie,N,ke),et&&(Je=parseSpecifiedDomain(et,Je,ge));else if(xe==="category"&&et){var Qe=et,lt=Je.every(function(ht){return Qe.indexOf(ht)>=0});lt&&(Je=Qe)}}return _objectSpread(_objectSpread({},J),{},_defineProperty({},Ie,_objectSpread(_objectSpread({},oe.props),{},{axisType:N,domain:Je,categoricalDomain:ot,duplicateDomain:Xe,originalDomain:(pe=oe.props.domain)!==null&&pe!==void 0?pe:tt,isCategorical:X,layout:V})))},{})},getAxisMapByItems=function S(C,R){var O=R.graphicalItems,I=R.Axis,N=R.axisType,L=R.axisIdKey,B=R.stackGroups,j=R.dataStartIndex,F=R.dataEndIndex,V=C.layout,K=C.children,W=getDisplayedData(C.data,{graphicalItems:O,dataStartIndex:j,dataEndIndex:F}),X=W.length,J=isCategoricalAxis(V,N),oe=-1;return O.reduce(function(pe,me){var xe=me.props[L],Ae=getDefaultDomainByAxisType("number");if(!pe[xe]){oe++;var ge;return J?ge=range$4(0,X):B&&B[xe]&&B[xe].hasStack?(ge=getDomainOfStackGroups(B[xe].stackGroups,j,F),ge=detectReferenceElementsDomain(K,ge,xe,N)):(ge=parseSpecifiedDomain(Ae,getDomainOfItemsWithSameAxis(W,O.filter(function(Te){return Te.props[L]===xe&&!Te.props.hide}),"number",V),I.defaultProps.allowDataOverflow),ge=detectReferenceElementsDomain(K,ge,xe,N)),_objectSpread(_objectSpread({},pe),{},_defineProperty({},xe,_objectSpread(_objectSpread({axisType:N},I.defaultProps),{},{hide:!0,orientation:get$5(ORIENT_MAP,"".concat(N,".").concat(oe%2),null),domain:ge,originalDomain:Ae,isCategorical:J,layout:V})))}return pe},{})},getAxisMap=function S(C,R){var O=R.axisType,I=O===void 0?"xAxis":O,N=R.AxisComp,L=R.graphicalItems,B=R.stackGroups,j=R.dataStartIndex,F=R.dataEndIndex,V=C.children,K="".concat(I,"Id"),W=findAllByType(V,N),X={};return W&&W.length?X=getAxisMapByAxes(C,{axes:W,graphicalItems:L,axisType:I,axisIdKey:K,stackGroups:B,dataStartIndex:j,dataEndIndex:F}):L&&L.length&&(X=getAxisMapByItems(C,{Axis:N,graphicalItems:L,axisType:I,axisIdKey:K,stackGroups:B,dataStartIndex:j,dataEndIndex:F})),X},tooltipTicksGenerator=function S(C){var R=getAnyElementOfObject(C),O=getTicksOfAxis(R,!1,!0);return{tooltipTicks:O,orderedTooltipTicks:sortBy$1(O,function(I){return I.coordinate}),tooltipAxis:R,tooltipAxisBandSize:getBandSizeOfAxis(R,O)}},createDefaultState=function S(C){var R=C.children,O=C.defaultShowTooltip,I=findChildByType(R,Brush),N=0,L=0;return C.data&&C.data.length!==0&&(L=C.data.length-1),I&&I.props&&(I.props.startIndex>=0&&(N=I.props.startIndex),I.props.endIndex>=0&&(L=I.props.endIndex)),{chartX:0,chartY:0,dataStartIndex:N,dataEndIndex:L,activeTooltipIndex:-1,isTooltipActive:!!O}},hasGraphicalBarItem=function S(C){return!C||!C.length?!1:C.some(function(R){var O=getDisplayName(R&&R.type);return O&&O.indexOf("Bar")>=0})},getAxisNameByLayout=function S(C){return C==="horizontal"?{numericAxisName:"yAxis",cateAxisName:"xAxis"}:C==="vertical"?{numericAxisName:"xAxis",cateAxisName:"yAxis"}:C==="centric"?{numericAxisName:"radiusAxis",cateAxisName:"angleAxis"}:{numericAxisName:"angleAxis",cateAxisName:"radiusAxis"}},calculateOffset=function S(C,R){var O=C.props,I=C.graphicalItems,N=C.xAxisMap,L=N===void 0?{}:N,B=C.yAxisMap,j=B===void 0?{}:B,F=O.width,V=O.height,K=O.children,W=O.margin||{},X=findChildByType(K,Brush),J=findChildByType(K,Legend),oe=Object.keys(j).reduce(function(Te,we){var ke=j[we],Be=ke.orientation;return!ke.mirror&&!ke.hide?_objectSpread(_objectSpread({},Te),{},_defineProperty({},Be,Te[Be]+ke.width)):Te},{left:W.left||0,right:W.right||0}),pe=Object.keys(L).reduce(function(Te,we){var ke=L[we],Be=ke.orientation;return!ke.mirror&&!ke.hide?_objectSpread(_objectSpread({},Te),{},_defineProperty({},Be,get$5(Te,"".concat(Be))+ke.height)):Te},{top:W.top||0,bottom:W.bottom||0}),me=_objectSpread(_objectSpread({},pe),oe),xe=me.bottom;X&&(me.bottom+=X.props.height||Brush.defaultProps.height),J&&R&&(me=appendOffsetOfLegend(me,I,O,R));var Ae=F-me.left-me.right,ge=V-me.top-me.bottom;return _objectSpread(_objectSpread({brushBottom:xe},me),{},{width:Math.max(Ae,0),height:Math.max(ge,0)})},generateCategoricalChart=function S(C){var R,O=C.chartName,I=C.GraphicalChild,N=C.defaultTooltipEventType,L=N===void 0?"axis":N,B=C.validateTooltipEventTypes,j=B===void 0?["axis"]:B,F=C.axisComponents,V=C.legendContent,K=C.formatAxisMap,W=C.defaultProps,X=function(pe,me){var xe=me.graphicalItems,Ae=me.stackGroups,ge=me.offset,Te=me.updateId,we=me.dataStartIndex,ke=me.dataEndIndex,Be=pe.barSize,Ie=pe.layout,je=pe.barGap,Ke=pe.barCategoryGap,Je=pe.maxBarSize,Xe=getAxisNameByLayout(Ie),ot=Xe.numericAxisName,tt=Xe.cateAxisName,Ue=hasGraphicalBarItem(xe),et=Ue&&getBarSizeList({barSize:Be,stackGroups:Ae}),dt=[];return xe.forEach(function(gt,Qe){var lt=getDisplayedData(pe.data,{graphicalItems:[gt],dataStartIndex:we,dataEndIndex:ke}),ht=gt.props,Ct=ht.dataKey,$t=ht.maxBarSize,Lt=gt.props["".concat(ot,"Id")],Gt=gt.props["".concat(tt,"Id")],Pt={},Vt=F.reduce(function(Tn,pn){var Mn,bo,mr,sr=me["".concat(pn.axisType,"Map")],Ut=gt.props["".concat(pn.axisType,"Id")];sr&&sr[Ut]||pn.axisType==="zAxis"||(define_process_env_default$c.NODE_ENV!=="production"?invariant(!1,"Specifying a(n) ".concat(pn.axisType,"Id requires a corresponding ").concat(pn.axisType,"Id on the targeted graphical component ").concat((Mn=gt==null||(bo=gt.type)===null||bo===void 0?void 0:bo.displayName)!==null&&Mn!==void 0?Mn:"")):invariant(!1));var nr=sr[Ut];return _objectSpread(_objectSpread({},Tn),{},(mr={},_defineProperty(mr,pn.axisType,nr),_defineProperty(mr,"".concat(pn.axisType,"Ticks"),getTicksOfAxis(nr)),mr))},Pt),bt=Vt[tt],It=Vt["".concat(tt,"Ticks")],Ht=Ae&&Ae[Lt]&&Ae[Lt].hasStack&&getStackedDataOfItem(gt,Ae[Lt].stackGroups),kt=getDisplayName(gt.type).indexOf("Bar")>=0,Kt=getBandSizeOfAxis(bt,It),tr=[];if(kt){var wr,xr,Vr=isNil$1($t)?Je:$t,bn=(wr=(xr=getBandSizeOfAxis(bt,It,!0))!==null&&xr!==void 0?xr:Vr)!==null&&wr!==void 0?wr:0;tr=getBarPosition({barGap:je,barCategoryGap:Ke,bandSize:bn!==Kt?bn:Kt,sizeList:et[Gt],maxBarSize:Vr}),bn!==Kt&&(tr=tr.map(function(Tn){return _objectSpread(_objectSpread({},Tn),{},{position:_objectSpread(_objectSpread({},Tn.position),{},{offset:Tn.position.offset-bn/2})})}))}var Bn=gt&&gt.type&&gt.type.getComposedData;if(Bn){var An;dt.push({props:_objectSpread(_objectSpread({},Bn(_objectSpread(_objectSpread({},Vt),{},{displayedData:lt,props:pe,dataKey:Ct,item:gt,bandSize:Kt,barPosition:tr,offset:ge,stackedData:Ht,layout:Ie,dataStartIndex:we,dataEndIndex:ke}))),{},(An={key:gt.key||"item-".concat(Qe)},_defineProperty(An,ot,Vt[ot]),_defineProperty(An,tt,Vt[tt]),_defineProperty(An,"animationId",Te),An)),childIndex:parseChildIndex(gt,pe.children),item:gt})}}),dt},J=function(pe,me){var xe=pe.props,Ae=pe.dataStartIndex,ge=pe.dataEndIndex,Te=pe.updateId;if(!validateWidthHeight({props:xe}))return null;var we=xe.children,ke=xe.layout,Be=xe.stackOffset,Ie=xe.data,je=xe.reverseStackOrder,Ke=getAxisNameByLayout(ke),Je=Ke.numericAxisName,Xe=Ke.cateAxisName,ot=findAllByType(we,I),tt=getStackGroupsByAxisId(Ie,ot,"".concat(Je,"Id"),"".concat(Xe,"Id"),Be,je),Ue=F.reduce(function(lt,ht){var Ct="".concat(ht.axisType,"Map");return _objectSpread(_objectSpread({},lt),{},_defineProperty({},Ct,getAxisMap(xe,_objectSpread(_objectSpread({},ht),{},{graphicalItems:ot,stackGroups:ht.axisType===Je&&tt,dataStartIndex:Ae,dataEndIndex:ge}))))},{}),et=calculateOffset(_objectSpread(_objectSpread({},Ue),{},{props:xe,graphicalItems:ot}),me==null?void 0:me.legendBBox);Object.keys(Ue).forEach(function(lt){Ue[lt]=K(xe,Ue[lt],et,lt.replace("Map",""),O)});var dt=Ue["".concat(Xe,"Map")],gt=tooltipTicksGenerator(dt),Qe=X(xe,_objectSpread(_objectSpread({},Ue),{},{dataStartIndex:Ae,dataEndIndex:ge,updateId:Te,graphicalItems:ot,stackGroups:tt,offset:et}));return _objectSpread(_objectSpread({formattedGraphicalItems:Qe,graphicalItems:ot,offset:et,stackGroups:tt},gt),Ue)};return R=function(oe){_inherits(me,oe);var pe=_createSuper(me);function me(xe){var Ae,ge,Te;return _classCallCheck(this,me),Te=pe.call(this,xe),_defineProperty(_assertThisInitialized(Te),"eventEmitterSymbol",Symbol("rechartsEventEmitter")),_defineProperty(_assertThisInitialized(Te),"accessibilityManager",new AccessibilityManager),_defineProperty(_assertThisInitialized(Te),"handleLegendBBoxUpdate",function(we){if(we){var ke=Te.state,Be=ke.dataStartIndex,Ie=ke.dataEndIndex,je=ke.updateId;Te.setState(_objectSpread({legendBBox:we},J({props:Te.props,dataStartIndex:Be,dataEndIndex:Ie,updateId:je},_objectSpread(_objectSpread({},Te.state),{},{legendBBox:we}))))}}),_defineProperty(_assertThisInitialized(Te),"handleReceiveSyncEvent",function(we,ke,Be){if(Te.props.syncId===we){if(Be===Te.eventEmitterSymbol&&typeof Te.props.syncMethod!="function")return;Te.applySyncEvent(ke)}}),_defineProperty(_assertThisInitialized(Te),"handleBrushChange",function(we){var ke=we.startIndex,Be=we.endIndex;if(ke!==Te.state.dataStartIndex||Be!==Te.state.dataEndIndex){var Ie=Te.state.updateId;Te.setState(function(){return _objectSpread({dataStartIndex:ke,dataEndIndex:Be},J({props:Te.props,dataStartIndex:ke,dataEndIndex:Be,updateId:Ie},Te.state))}),Te.triggerSyncEvent({dataStartIndex:ke,dataEndIndex:Be})}}),_defineProperty(_assertThisInitialized(Te),"handleMouseEnter",function(we){var ke=Te.getMouseInfo(we);if(ke){var Be=_objectSpread(_objectSpread({},ke),{},{isTooltipActive:!0});Te.setState(Be),Te.triggerSyncEvent(Be);var Ie=Te.props.onMouseEnter;isFunction$6(Ie)&&Ie(Be,we)}}),_defineProperty(_assertThisInitialized(Te),"triggeredAfterMouseMove",function(we){var ke=Te.getMouseInfo(we),Be=ke?_objectSpread(_objectSpread({},ke),{},{isTooltipActive:!0}):{isTooltipActive:!1};Te.setState(Be),Te.triggerSyncEvent(Be);var Ie=Te.props.onMouseMove;isFunction$6(Ie)&&Ie(Be,we)}),_defineProperty(_assertThisInitialized(Te),"handleItemMouseEnter",function(we){Te.setState(function(){return{isTooltipActive:!0,activeItem:we,activePayload:we.tooltipPayload,activeCoordinate:we.tooltipPosition||{x:we.cx,y:we.cy}}})}),_defineProperty(_assertThisInitialized(Te),"handleItemMouseLeave",function(){Te.setState(function(){return{isTooltipActive:!1}})}),_defineProperty(_assertThisInitialized(Te),"handleMouseMove",function(we){we.persist(),Te.throttleTriggeredAfterMouseMove(we)}),_defineProperty(_assertThisInitialized(Te),"handleMouseLeave",function(we){var ke={isTooltipActive:!1};Te.setState(ke),Te.triggerSyncEvent(ke);var Be=Te.props.onMouseLeave;isFunction$6(Be)&&Be(ke,we)}),_defineProperty(_assertThisInitialized(Te),"handleOuterEvent",function(we){var ke=getReactEventByType(we),Be=get$5(Te.props,"".concat(ke));if(ke&&isFunction$6(Be)){var Ie,je;/.*touch.*/i.test(ke)?je=Te.getMouseInfo(we.changedTouches[0]):je=Te.getMouseInfo(we),Be((Ie=je)!==null&&Ie!==void 0?Ie:{},we)}}),_defineProperty(_assertThisInitialized(Te),"handleClick",function(we){var ke=Te.getMouseInfo(we);if(ke){var Be=_objectSpread(_objectSpread({},ke),{},{isTooltipActive:!0});Te.setState(Be),Te.triggerSyncEvent(Be);var Ie=Te.props.onClick;isFunction$6(Ie)&&Ie(Be,we)}}),_defineProperty(_assertThisInitialized(Te),"handleMouseDown",function(we){var ke=Te.props.onMouseDown;if(isFunction$6(ke)){var Be=Te.getMouseInfo(we);ke(Be,we)}}),_defineProperty(_assertThisInitialized(Te),"handleMouseUp",function(we){var ke=Te.props.onMouseUp;if(isFunction$6(ke)){var Be=Te.getMouseInfo(we);ke(Be,we)}}),_defineProperty(_assertThisInitialized(Te),"handleTouchMove",function(we){we.changedTouches!=null&&we.changedTouches.length>0&&Te.throttleTriggeredAfterMouseMove(we.changedTouches[0])}),_defineProperty(_assertThisInitialized(Te),"handleTouchStart",function(we){we.changedTouches!=null&&we.changedTouches.length>0&&Te.handleMouseDown(we.changedTouches[0])}),_defineProperty(_assertThisInitialized(Te),"handleTouchEnd",function(we){we.changedTouches!=null&&we.changedTouches.length>0&&Te.handleMouseUp(we.changedTouches[0])}),_defineProperty(_assertThisInitialized(Te),"triggerSyncEvent",function(we){Te.props.syncId!==void 0&&eventCenter.emit(SYNC_EVENT,Te.props.syncId,we,Te.eventEmitterSymbol)}),_defineProperty(_assertThisInitialized(Te),"applySyncEvent",function(we){var ke=Te.props,Be=ke.layout,Ie=ke.syncMethod,je=Te.state.updateId,Ke=we.dataStartIndex,Je=we.dataEndIndex;if(we.dataStartIndex!==void 0||we.dataEndIndex!==void 0)Te.setState(_objectSpread({dataStartIndex:Ke,dataEndIndex:Je},J({props:Te.props,dataStartIndex:Ke,dataEndIndex:Je,updateId:je},Te.state)));else if(we.activeTooltipIndex!==void 0){var Xe=we.chartX,ot=we.chartY,tt=we.activeTooltipIndex,Ue=Te.state,et=Ue.offset,dt=Ue.tooltipTicks;if(!et)return;if(typeof Ie=="function")tt=Ie(dt,we);else if(Ie==="value"){tt=-1;for(var gt=0;gt<dt.length;gt++)if(dt[gt].value===we.activeLabel){tt=gt;break}}var Qe=_objectSpread(_objectSpread({},et),{},{x:et.left,y:et.top}),lt=Math.min(Xe,Qe.x+Qe.width),ht=Math.min(ot,Qe.y+Qe.height),Ct=dt[tt]&&dt[tt].value,$t=getTooltipContent(Te.state,Te.props.data,tt),Lt=dt[tt]?{x:Be==="horizontal"?dt[tt].coordinate:lt,y:Be==="horizontal"?ht:dt[tt].coordinate}:originCoordinate;Te.setState(_objectSpread(_objectSpread({},we),{},{activeLabel:Ct,activeCoordinate:Lt,activePayload:$t,activeTooltipIndex:tt}))}else Te.setState(we)}),_defineProperty(_assertThisInitialized(Te),"verticalCoordinatesGenerator",function(we,ke){var Be=we.xAxis,Ie=we.width,je=we.height,Ke=we.offset;return getCoordinatesOfGrid(getTicks(_objectSpread(_objectSpread(_objectSpread({},CartesianAxis.defaultProps),Be),{},{ticks:getTicksOfAxis(Be,!0),viewBox:{x:0,y:0,width:Ie,height:je}})),Ke.left,Ke.left+Ke.width,ke)}),_defineProperty(_assertThisInitialized(Te),"horizontalCoordinatesGenerator",function(we,ke){var Be=we.yAxis,Ie=we.width,je=we.height,Ke=we.offset;return getCoordinatesOfGrid(getTicks(_objectSpread(_objectSpread(_objectSpread({},CartesianAxis.defaultProps),Be),{},{ticks:getTicksOfAxis(Be,!0),viewBox:{x:0,y:0,width:Ie,height:je}})),Ke.top,Ke.top+Ke.height,ke)}),_defineProperty(_assertThisInitialized(Te),"axesTicksGenerator",function(we){return getTicksOfAxis(we,!0)}),_defineProperty(_assertThisInitialized(Te),"renderCursor",function(we){var ke,Be=Te.state,Ie=Be.isTooltipActive,je=Be.activeCoordinate,Ke=Be.activePayload,Je=Be.offset,Xe=Be.activeTooltipIndex,ot=Be.tooltipAxisBandSize,tt=Te.getTooltipEventType(),Ue=(ke=we.props.active)!==null&&ke!==void 0?ke:Ie,et=Te.props.layout,dt=we.key||"_recharts-cursor";return React.createElement(Cursor,{key:dt,activeCoordinate:je,activePayload:Ke,activeTooltipIndex:Xe,chartName:O,element:we,isActive:Ue,layout:et,offset:Je,tooltipAxisBandSize:ot,tooltipEventType:tt})}),_defineProperty(_assertThisInitialized(Te),"renderPolarAxis",function(we,ke,Be){var Ie=get$5(we,"type.axisType"),je=get$5(Te.state,"".concat(Ie,"Map")),Ke=je&&je[we.props["".concat(Ie,"Id")]];return reactExports.cloneElement(we,_objectSpread(_objectSpread({},Ke),{},{className:Ie,key:we.key||"".concat(ke,"-").concat(Be),ticks:getTicksOfAxis(Ke,!0)}))}),_defineProperty(_assertThisInitialized(Te),"renderXAxis",function(we,ke,Be){var Ie=Te.state.xAxisMap,je=Ie[we.props.xAxisId];return Te.renderAxis(je,we,ke,Be)}),_defineProperty(_assertThisInitialized(Te),"renderYAxis",function(we,ke,Be){var Ie=Te.state.yAxisMap,je=Ie[we.props.yAxisId];return Te.renderAxis(je,we,ke,Be)}),_defineProperty(_assertThisInitialized(Te),"renderGrid",function(we){var ke=Te.state,Be=ke.xAxisMap,Ie=ke.yAxisMap,je=ke.offset,Ke=Te.props,Je=Ke.width,Xe=Ke.height,ot=getAnyElementOfObject(Be),tt=find$1(Ie,function(dt){return every$1(dt.domain,Number.isFinite)}),Ue=tt||getAnyElementOfObject(Ie),et=we.props||{};return reactExports.cloneElement(we,{key:we.key||"grid",x:isNumber(et.x)?et.x:je.left,y:isNumber(et.y)?et.y:je.top,width:isNumber(et.width)?et.width:je.width,height:isNumber(et.height)?et.height:je.height,xAxis:ot,yAxis:Ue,offset:je,chartWidth:Je,chartHeight:Xe,verticalCoordinatesGenerator:et.verticalCoordinatesGenerator||Te.verticalCoordinatesGenerator,horizontalCoordinatesGenerator:et.horizontalCoordinatesGenerator||Te.horizontalCoordinatesGenerator})}),_defineProperty(_assertThisInitialized(Te),"renderPolarGrid",function(we){var ke=we.props,Be=ke.radialLines,Ie=ke.polarAngles,je=ke.polarRadius,Ke=Te.state,Je=Ke.radiusAxisMap,Xe=Ke.angleAxisMap,ot=getAnyElementOfObject(Je),tt=getAnyElementOfObject(Xe),Ue=tt.cx,et=tt.cy,dt=tt.innerRadius,gt=tt.outerRadius;return reactExports.cloneElement(we,{polarAngles:Array.isArray(Ie)?Ie:getTicksOfAxis(tt,!0).map(function(Qe){return Qe.coordinate}),polarRadius:Array.isArray(je)?je:getTicksOfAxis(ot,!0).map(function(Qe){return Qe.coordinate}),cx:Ue,cy:et,innerRadius:dt,outerRadius:gt,key:we.key||"polar-grid",radialLines:Be})}),_defineProperty(_assertThisInitialized(Te),"renderLegend",function(){var we=Te.state.formattedGraphicalItems,ke=Te.props,Be=ke.children,Ie=ke.width,je=ke.height,Ke=Te.props.margin||{},Je=Ie-(Ke.left||0)-(Ke.right||0),Xe=getLegendProps({children:Be,formattedGraphicalItems:we,legendWidth:Je,legendContent:V});if(!Xe)return null;var ot=Xe.item,tt=_objectWithoutProperties(Xe,_excluded);return reactExports.cloneElement(ot,_objectSpread(_objectSpread({},tt),{},{chartWidth:Ie,chartHeight:je,margin:Ke,onBBoxUpdate:Te.handleLegendBBoxUpdate}))}),_defineProperty(_assertThisInitialized(Te),"renderTooltip",function(){var we,ke=Te.props.children,Be=findChildByType(ke,Tooltip);if(!Be)return null;var Ie=Te.state,je=Ie.isTooltipActive,Ke=Ie.activeCoordinate,Je=Ie.activePayload,Xe=Ie.activeLabel,ot=Ie.offset,tt=(we=Be.props.active)!==null&&we!==void 0?we:je;return reactExports.cloneElement(Be,{viewBox:_objectSpread(_objectSpread({},ot),{},{x:ot.left,y:ot.top}),active:tt,label:Xe,payload:tt?Je:[],coordinate:Ke})}),_defineProperty(_assertThisInitialized(Te),"renderBrush",function(we){var ke=Te.props,Be=ke.margin,Ie=ke.data,je=Te.state,Ke=je.offset,Je=je.dataStartIndex,Xe=je.dataEndIndex,ot=je.updateId;return reactExports.cloneElement(we,{key:we.key||"_recharts-brush",onChange:combineEventHandlers(Te.handleBrushChange,we.props.onChange),data:Ie,x:isNumber(we.props.x)?we.props.x:Ke.left,y:isNumber(we.props.y)?we.props.y:Ke.top+Ke.height+Ke.brushBottom-(Be.bottom||0),width:isNumber(we.props.width)?we.props.width:Ke.width,startIndex:Je,endIndex:Xe,updateId:"brush-".concat(ot)})}),_defineProperty(_assertThisInitialized(Te),"renderReferenceElement",function(we,ke,Be){if(!we)return null;var Ie=_assertThisInitialized(Te),je=Ie.clipPathId,Ke=Te.state,Je=Ke.xAxisMap,Xe=Ke.yAxisMap,ot=Ke.offset,tt=we.props,Ue=tt.xAxisId,et=tt.yAxisId;return reactExports.cloneElement(we,{key:we.key||"".concat(ke,"-").concat(Be),xAxis:Je[Ue],yAxis:Xe[et],viewBox:{x:ot.left,y:ot.top,width:ot.width,height:ot.height},clipPathId:je})}),_defineProperty(_assertThisInitialized(Te),"renderActivePoints",function(we){var ke=we.item,Be=we.activePoint,Ie=we.basePoint,je=we.childIndex,Ke=we.isRange,Je=[],Xe=ke.props.key,ot=ke.item.props,tt=ot.activeDot,Ue=ot.dataKey,et=_objectSpread(_objectSpread({index:je,dataKey:Ue,cx:Be.x,cy:Be.y,r:4,fill:getMainColorOfGraphicItem(ke.item),strokeWidth:2,stroke:"#fff",payload:Be.payload,value:Be.value,key:"".concat(Xe,"-activePoint-").concat(je)},filterProps(tt)),adaptEventHandlers(tt));return Je.push(me.renderActiveDot(tt,et)),Ie?Je.push(me.renderActiveDot(tt,_objectSpread(_objectSpread({},et),{},{cx:Ie.x,cy:Ie.y,key:"".concat(Xe,"-basePoint-").concat(je)}))):Ke&&Je.push(null),Je}),_defineProperty(_assertThisInitialized(Te),"renderGraphicChild",function(we,ke,Be){var Ie=Te.filterFormatItem(we,ke,Be);if(!Ie)return null;var je=Te.getTooltipEventType(),Ke=Te.state,Je=Ke.isTooltipActive,Xe=Ke.tooltipAxis,ot=Ke.activeTooltipIndex,tt=Ke.activeLabel,Ue=Te.props.children,et=findChildByType(Ue,Tooltip),dt=Ie.props,gt=dt.points,Qe=dt.isRange,lt=dt.baseLine,ht=Ie.item.props,Ct=ht.activeDot,$t=ht.hide,Lt=ht.activeBar,Gt=ht.activeShape,Pt=!!(!$t&&Je&&et&&(Ct||Lt||Gt)),Vt={};je!=="axis"&&et&&et.props.trigger==="click"?Vt={onClick:combineEventHandlers(Te.handleItemMouseEnter,we.props.onClick)}:je!=="axis"&&(Vt={onMouseLeave:combineEventHandlers(Te.handleItemMouseLeave,we.props.onMouseLeave),onMouseEnter:combineEventHandlers(Te.handleItemMouseEnter,we.props.onMouseEnter)});var bt=reactExports.cloneElement(we,_objectSpread(_objectSpread({},Ie.props),Vt));function It(pn){return typeof Xe.dataKey=="function"?Xe.dataKey(pn.payload):null}if(Pt)if(ot>=0){var Ht,kt;if(Xe.dataKey&&!Xe.allowDuplicatedCategory){var Kt=typeof Xe.dataKey=="function"?It:"payload.".concat(Xe.dataKey.toString());Ht=findEntryInArray(gt,Kt,tt),kt=Qe&&lt&&findEntryInArray(lt,Kt,tt)}else Ht=gt==null?void 0:gt[ot],kt=Qe&&lt&&lt[ot];if(Gt||Lt){var tr=we.props.activeIndex!==void 0?we.props.activeIndex:ot;return[reactExports.cloneElement(we,_objectSpread(_objectSpread(_objectSpread({},Ie.props),Vt),{},{activeIndex:tr})),null,null]}if(!isNil$1(Ht))return[bt].concat(_toConsumableArray(Te.renderActivePoints({item:Ie,activePoint:Ht,basePoint:kt,childIndex:ot,isRange:Qe})))}else{var wr,xr=(wr=Te.getItemByXY(Te.state.activeCoordinate))!==null&&wr!==void 0?wr:{graphicalItem:bt},Vr=xr.graphicalItem,bn=Vr.item,Bn=bn===void 0?we:bn,An=Vr.childIndex,Tn=_objectSpread(_objectSpread(_objectSpread({},Ie.props),Vt),{},{activeIndex:An});return[reactExports.cloneElement(Bn,Tn),null,null]}return Qe?[bt,null,null]:[bt,null]}),_defineProperty(_assertThisInitialized(Te),"renderCustomized",function(we,ke,Be){return reactExports.cloneElement(we,_objectSpread(_objectSpread({key:"recharts-customized-".concat(Be)},Te.props),Te.state))}),_defineProperty(_assertThisInitialized(Te),"renderMap",{CartesianGrid:{handler:Te.renderGrid,once:!0},ReferenceArea:{handler:Te.renderReferenceElement},ReferenceLine:{handler:Te.renderReferenceElement},ReferenceDot:{handler:Te.renderReferenceElement},XAxis:{handler:Te.renderXAxis},YAxis:{handler:Te.renderYAxis},Brush:{handler:Te.renderBrush,once:!0},Bar:{handler:Te.renderGraphicChild},Line:{handler:Te.renderGraphicChild},Area:{handler:Te.renderGraphicChild},Radar:{handler:Te.renderGraphicChild},RadialBar:{handler:Te.renderGraphicChild},Scatter:{handler:Te.renderGraphicChild},Pie:{handler:Te.renderGraphicChild},Funnel:{handler:Te.renderGraphicChild},Tooltip:{handler:Te.renderCursor,once:!0},PolarGrid:{handler:Te.renderPolarGrid,once:!0},PolarAngleAxis:{handler:Te.renderPolarAxis},PolarRadiusAxis:{handler:Te.renderPolarAxis},Customized:{handler:Te.renderCustomized}}),Te.clipPathId="".concat((Ae=xe.id)!==null&&Ae!==void 0?Ae:uniqueId("recharts"),"-clip"),Te.throttleTriggeredAfterMouseMove=throttle$1(Te.triggeredAfterMouseMove,(ge=xe.throttleDelay)!==null&&ge!==void 0?ge:1e3/60),Te.state={},Te}return _createClass(me,[{key:"componentDidMount",value:function(){var Ae,ge;this.addListener(),this.accessibilityManager.setDetails({container:this.container,offset:{left:(Ae=this.props.margin.left)!==null&&Ae!==void 0?Ae:0,top:(ge=this.props.margin.top)!==null&&ge!==void 0?ge:0},coordinateList:this.state.tooltipTicks,mouseHandlerCallback:this.triggeredAfterMouseMove,layout:this.props.layout})}},{key:"getSnapshotBeforeUpdate",value:function(Ae,ge){if(!this.props.accessibilityLayer)return null;if(this.state.tooltipTicks!==ge.tooltipTicks&&this.accessibilityManager.setDetails({coordinateList:this.state.tooltipTicks}),this.props.layout!==Ae.layout&&this.accessibilityManager.setDetails({layout:this.props.layout}),this.props.margin!==Ae.margin){var Te,we;this.accessibilityManager.setDetails({offset:{left:(Te=this.props.margin.left)!==null&&Te!==void 0?Te:0,top:(we=this.props.margin.top)!==null&&we!==void 0?we:0}})}return null}},{key:"componentDidUpdate",value:function(){}},{key:"componentWillUnmount",value:function(){this.removeListener(),this.throttleTriggeredAfterMouseMove.cancel()}},{key:"getTooltipEventType",value:function(){var Ae=findChildByType(this.props.children,Tooltip);if(Ae&&typeof Ae.props.shared=="boolean"){var ge=Ae.props.shared?"axis":"item";return j.indexOf(ge)>=0?ge:L}return L}},{key:"getMouseInfo",value:function(Ae){if(!this.container)return null;var ge=this.container,Te=ge.getBoundingClientRect(),we=getOffset(Te),ke={chartX:Math.round(Ae.pageX-we.left),chartY:Math.round(Ae.pageY-we.top)},Be=Te.width/ge.offsetWidth||1,Ie=this.inRange(ke.chartX,ke.chartY,Be);if(!Ie)return null;var je=this.state,Ke=je.xAxisMap,Je=je.yAxisMap,Xe=this.getTooltipEventType();if(Xe!=="axis"&&Ke&&Je){var ot=getAnyElementOfObject(Ke).scale,tt=getAnyElementOfObject(Je).scale,Ue=ot&&ot.invert?ot.invert(ke.chartX):null,et=tt&&tt.invert?tt.invert(ke.chartY):null;return _objectSpread(_objectSpread({},ke),{},{xValue:Ue,yValue:et})}var dt=getTooltipData(this.state,this.props.data,this.props.layout,Ie);return dt?_objectSpread(_objectSpread({},ke),dt):null}},{key:"inRange",value:function(Ae,ge){var Te=arguments.length>2&&arguments[2]!==void 0?arguments[2]:1,we=this.props.layout,ke=Ae/Te,Be=ge/Te;if(we==="horizontal"||we==="vertical"){var Ie=this.state.offset,je=ke>=Ie.left&&ke<=Ie.left+Ie.width&&Be>=Ie.top&&Be<=Ie.top+Ie.height;return je?{x:ke,y:Be}:null}var Ke=this.state,Je=Ke.angleAxisMap,Xe=Ke.radiusAxisMap;if(Je&&Xe){var ot=getAnyElementOfObject(Je);return inRangeOfSector({x:ke,y:Be},ot)}return null}},{key:"parseEventsOfWrapper",value:function(){var Ae=this.props.children,ge=this.getTooltipEventType(),Te=findChildByType(Ae,Tooltip),we={};Te&&ge==="axis"&&(Te.props.trigger==="click"?we={onClick:this.handleClick}:we={onMouseEnter:this.handleMouseEnter,onMouseMove:this.handleMouseMove,onMouseLeave:this.handleMouseLeave,onTouchMove:this.handleTouchMove,onTouchStart:this.handleTouchStart,onTouchEnd:this.handleTouchEnd});var ke=adaptEventHandlers(this.props,this.handleOuterEvent);return _objectSpread(_objectSpread({},ke),we)}},{key:"addListener",value:function(){eventCenter.on(SYNC_EVENT,this.handleReceiveSyncEvent)}},{key:"removeListener",value:function(){eventCenter.removeListener(SYNC_EVENT,this.handleReceiveSyncEvent)}},{key:"filterFormatItem",value:function(Ae,ge,Te){for(var we=this.state.formattedGraphicalItems,ke=0,Be=we.length;ke<Be;ke++){var Ie=we[ke];if(Ie.item===Ae||Ie.props.key===Ae.key||ge===getDisplayName(Ie.item.type)&&Te===Ie.childIndex)return Ie}return null}},{key:"renderAxis",value:function(Ae,ge,Te,we){var ke=this.props,Be=ke.width,Ie=ke.height;return React.createElement(CartesianAxis,_extends({},Ae,{className:clsx("recharts-".concat(Ae.axisType," ").concat(Ae.axisType),Ae.className),key:ge.key||"".concat(Te,"-").concat(we),viewBox:{x:0,y:0,width:Be,height:Ie},ticksGenerator:this.axesTicksGenerator}))}},{key:"renderClipPath",value:function(){var Ae=this.clipPathId,ge=this.state.offset,Te=ge.left,we=ge.top,ke=ge.height,Be=ge.width;return React.createElement("defs",null,React.createElement("clipPath",{id:Ae},React.createElement("rect",{x:Te,y:we,height:ke,width:Be})))}},{key:"getXScales",value:function(){var Ae=this.state.xAxisMap;return Ae?Object.entries(Ae).reduce(function(ge,Te){var we=_slicedToArray(Te,2),ke=we[0],Be=we[1];return _objectSpread(_objectSpread({},ge),{},_defineProperty({},ke,Be.scale))},{}):null}},{key:"getYScales",value:function(){var Ae=this.state.yAxisMap;return Ae?Object.entries(Ae).reduce(function(ge,Te){var we=_slicedToArray(Te,2),ke=we[0],Be=we[1];return _objectSpread(_objectSpread({},ge),{},_defineProperty({},ke,Be.scale))},{}):null}},{key:"getXScaleByAxisId",value:function(Ae){var ge;return(ge=this.state.xAxisMap)===null||ge===void 0||(ge=ge[Ae])===null||ge===void 0?void 0:ge.scale}},{key:"getYScaleByAxisId",value:function(Ae){var ge;return(ge=this.state.yAxisMap)===null||ge===void 0||(ge=ge[Ae])===null||ge===void 0?void 0:ge.scale}},{key:"getItemByXY",value:function(Ae){var ge=this.state,Te=ge.formattedGraphicalItems,we=ge.activeItem;if(Te&&Te.length)for(var ke=0,Be=Te.length;ke<Be;ke++){var Ie=Te[ke],je=Ie.props,Ke=Ie.item,Je=getDisplayName(Ke.type);if(Je==="Bar"){var Xe=(je.data||[]).find(function(et){return isInRectangle(Ae,et)});if(Xe)return{graphicalItem:Ie,payload:Xe}}else if(Je==="RadialBar"){var ot=(je.data||[]).find(function(et){return inRangeOfSector(Ae,et)});if(ot)return{graphicalItem:Ie,payload:ot}}else if(isFunnel(Ie,we)||isPie(Ie,we)||isScatter(Ie,we)){var tt=getActiveShapeIndexForTooltip({graphicalItem:Ie,activeTooltipItem:we,itemData:Ke.props.data}),Ue=Ke.props.activeIndex===void 0?tt:Ke.props.activeIndex;return{graphicalItem:_objectSpread(_objectSpread({},Ie),{},{childIndex:Ue}),payload:isScatter(Ie,we)?Ke.props.data[tt]:Ie.props.data[tt]}}}return null}},{key:"render",value:function(){var Ae=this;if(!validateWidthHeight(this))return null;var ge=this.props,Te=ge.children,we=ge.className,ke=ge.width,Be=ge.height,Ie=ge.style,je=ge.compact,Ke=ge.title,Je=ge.desc,Xe=_objectWithoutProperties(ge,_excluded2),ot=filterProps(Xe);if(je)return React.createElement(Surface,_extends({},ot,{width:ke,height:Be,title:Ke,desc:Je}),this.renderClipPath(),renderByOrder(Te,this.renderMap));if(this.props.accessibilityLayer){var tt,Ue;ot.tabIndex=(tt=this.props.tabIndex)!==null&&tt!==void 0?tt:0,ot.role=(Ue=this.props.role)!==null&&Ue!==void 0?Ue:"img",ot.onKeyDown=function(dt){Ae.accessibilityManager.keyboardEvent(dt)},ot.onFocus=function(){Ae.accessibilityManager.focus()}}var et=this.parseEventsOfWrapper();return React.createElement("div",_extends({className:clsx("recharts-wrapper",we),style:_objectSpread({position:"relative",cursor:"default",width:ke,height:Be},Ie)},et,{ref:function(gt){Ae.container=gt},role:"region"}),React.createElement(Surface,_extends({},ot,{width:ke,height:Be,title:Ke,desc:Je,style:FULL_WIDTH_AND_HEIGHT}),this.renderClipPath(),renderByOrder(Te,this.renderMap)),this.renderLegend(),this.renderTooltip())}}]),me}(reactExports.Component),_defineProperty(R,"displayName",O),_defineProperty(R,"defaultProps",_objectSpread({layout:"horizontal",stackOffset:"none",barCategoryGap:"10%",barGap:4,margin:{top:5,right:5,bottom:5,left:5},reverseStackOrder:!1,syncMethod:"index"},W)),_defineProperty(R,"getDerivedStateFromProps",function(oe,pe){var me=oe.dataKey,xe=oe.data,Ae=oe.children,ge=oe.width,Te=oe.height,we=oe.layout,ke=oe.stackOffset,Be=oe.margin,Ie=pe.dataStartIndex,je=pe.dataEndIndex;if(pe.updateId===void 0){var Ke=createDefaultState(oe);return _objectSpread(_objectSpread(_objectSpread({},Ke),{},{updateId:0},J(_objectSpread(_objectSpread({props:oe},Ke),{},{updateId:0}),pe)),{},{prevDataKey:me,prevData:xe,prevWidth:ge,prevHeight:Te,prevLayout:we,prevStackOffset:ke,prevMargin:Be,prevChildren:Ae})}if(me!==pe.prevDataKey||xe!==pe.prevData||ge!==pe.prevWidth||Te!==pe.prevHeight||we!==pe.prevLayout||ke!==pe.prevStackOffset||!shallowEqual(Be,pe.prevMargin)){var Je=createDefaultState(oe),Xe={chartX:pe.chartX,chartY:pe.chartY,isTooltipActive:pe.isTooltipActive},ot=_objectSpread(_objectSpread({},getTooltipData(pe,xe,we)),{},{updateId:pe.updateId+1}),tt=_objectSpread(_objectSpread(_objectSpread({},Je),Xe),ot);return _objectSpread(_objectSpread(_objectSpread({},tt),J(_objectSpread({props:oe},tt),pe)),{},{prevDataKey:me,prevData:xe,prevWidth:ge,prevHeight:Te,prevLayout:we,prevStackOffset:ke,prevMargin:Be,prevChildren:Ae})}if(!isChildrenEqual(Ae,pe.prevChildren)){var Ue,et,dt,gt,Qe=findChildByType(Ae,Brush),lt=Qe&&(Ue=(et=Qe.props)===null||et===void 0?void 0:et.startIndex)!==null&&Ue!==void 0?Ue:Ie,ht=Qe&&(dt=(gt=Qe.props)===null||gt===void 0?void 0:gt.endIndex)!==null&&dt!==void 0?dt:je,Ct=lt!==Ie||ht!==je,$t=!isNil$1(xe),Lt=$t&&!Ct?pe.updateId:pe.updateId+1;return _objectSpread(_objectSpread({updateId:Lt},J(_objectSpread(_objectSpread({props:oe},pe),{},{updateId:Lt,dataStartIndex:lt,dataEndIndex:ht}),pe)),{},{prevChildren:Ae,dataStartIndex:lt,dataEndIndex:ht})}return null}),_defineProperty(R,"renderActiveDot",function(oe,pe){var me;return reactExports.isValidElement(oe)?me=reactExports.cloneElement(oe,pe):isFunction$6(oe)?me=oe(pe):me=React.createElement(Dot,pe),React.createElement(Layer,{className:"recharts-active-dot",key:pe.key},me)}),R},PieChart=generateCategoricalChart({chartName:"PieChart",GraphicalChild:Pie,validateTooltipEventTypes:["item"],defaultTooltipEventType:"item",legendContent:"children",axisComponents:[{axisType:"angleAxis",AxisComp:PolarAngleAxis},{axisType:"radiusAxis",AxisComp:PolarRadiusAxis}],formatAxisMap,defaultProps:{layout:"centric",startAngle:0,endAngle:360,cx:"50%",cy:"50%",innerRadius:0,outerRadius:"80%"}});const MetricItem=({data:S,isHorizontal:C})=>{const R=useClasses$8(),O=reactExports.useMemo(()=>mergeClasses(R.wrapper,C&&R.horizontal),[R,C]),I=reactExports.useMemo(()=>mergeClasses(R.tagsWrapper,C&&R.tagsWrapperHorizontal),[R,C]),N=reactExports.useMemo(()=>{let L;switch(S.type){case"custom":L=S.content;break;case"text":L=jsxRuntimeExports.jsx(Text$2,{size:500,children:S.data});break;case"number":L=jsxRuntimeExports.jsx(Text$2,{size:500,children:numberFormatter(S.data)});break;case"status":L=jsxRuntimeExports.jsx(StatusText,{statusCode:S.status,textSize:500,showText:!0});break;case"time":{L=jsxRuntimeExports.jsx(LatencyText,{startTimeISOString:S.startTimeISOStr,endTimeISOString:S.endTimeISOStr,textSize:500});break}case"score":{const B=[{data:S.score,color:tokens.colorNeutralForeground3},{data:1-S.score,color:tokens.colorNeutralBackground4}];L=jsxRuntimeExports.jsxs("div",{className:R.scoreWrapper,children:[jsxRuntimeExports.jsx(PieChart,{width:24,height:24,children:jsxRuntimeExports.jsx(Pie,{data:B,dataKey:"data",cx:"50%",cy:"50%",innerRadius:8,outerRadius:11,strokeWidth:0,stroke:"transparent",children:B.map((j,F)=>jsxRuntimeExports.jsx(Cell,{fill:j.color},`cell-${F}`))})}),jsxRuntimeExports.jsx(Text$2,{size:500,children:S.score})]});break}case"tags":L=jsxRuntimeExports.jsx("div",{className:I,children:S.tags.map((B,j)=>jsxRuntimeExports.jsx(MetricTag,{tag:B},j))});break;default:L=null}return L},[S,R,I]);return jsxRuntimeExports.jsxs("div",{className:O,children:[jsxRuntimeExports.jsx(Text$2,{size:400,className:R.title,children:S.title}),jsxRuntimeExports.jsx("div",{className:R.data,children:N})]})},useClasses$8=makeStyles({wrapper:{display:"flex",flexDirection:"column",justifyContent:"space-between",...shorthands.flex(0,0,"auto")},horizontal:{flexDirection:"row",alignItems:"center",...shorthands.flex(0,0,"auto")},title:{color:tokens.colorNeutralForeground2,marginBottom:tokens.spacingVerticalXS},data:{color:tokens.colorNeutralForeground1},tagsWrapper:{display:"flex",flexDirection:"row",...shorthands.gap("0.5rem")},tagsWrapperHorizontal:{flexDirection:"column"},timeWrapper:{display:"flex",flexDirection:"row",alignItems:"center",justifyItems:"center","> svg":{marginRight:"5px"}},scoreWrapper:{display:"flex",flexDirection:"row",alignItems:"center","> :first-child":{marginRight:"8px"}}}),TraceDetailMetrics=()=>{const S=useClasses$7(),C=useSelectedTrace(),R=useLocStrings(),O=reactExports.useMemo(()=>{const I=C;if(!I||!I.evaluations)return[];const N=convertToTraceListRow(I),L=[{title:R.Status,type:"status",status:I.status??UNDEFINED_VALUE_PLACEHOLDER},{title:R.Total_Tokens,type:"custom",content:jsxRuntimeExports.jsx("div",{className:S.token,children:jsxRuntimeExports.jsx(SummaryToken,{trace:N})})},{title:R.Latency,type:"time",startTimeISOStr:I.start_time,endTimeISOStr:I.end_time}];return Object.entries(I.evaluations).forEach(([B,j])=>{const F=[],V=j.outputs;V&&(Object.keys(V).forEach(K=>{const W=V[K];W!=null&&F.push({name:K,value:V[K]})}),L.push({title:B,type:"tags",tags:F}))}),L},[C,S.token]);return jsxRuntimeExports.jsx("div",{className:S.wrapper,children:O.map((I,N)=>jsxRuntimeExports.jsx(MetricItem,{data:I},N))})},useClasses$7=makeStyles({wrapper:{display:"flex",alignItems:"stretch",height:"48px",width:"100%",...shorthands.margin("16px"),...shorthands.gap("1rem")},token:{"& 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null;for(;(Ne=ye?Le.firstChild:Le.lastChild)!==null;)Le=Ne;if(Le.nodeType===3)return Le;if(Le.nodeName==="BR")return null}}let uc={code:"code",em:"italic",i:"italic",s:"strikethrough",strong:"bold",sub:"subscript",sup:"superscript",u:"underline"};function bu(Le){let ye=uc[Le.nodeName.toLowerCase()];return ye===void 0?{node:null}:{forChild:Ne=>(Jn(Ne)&&!Ne.hasFormat(ye)&&Ne.toggleFormat(ye),Ne),node:null}}function ys(Le=""){return Nn(new Wu(Le))}function Jn(Le){return Le instanceof Wu}class Eu extends Wu{static getType(){return"tab"}static clone(ye){let Ne=new Eu(ye.__key);return Ne.__text=ye.__text,Ne.__format=ye.__format,Ne.__style=ye.__style,Ne}constructor(ye){super("	",ye),this.__detail=2}static importDOM(){return null}static importJSON(ye){let Ne=Dc();return Ne.setFormat(ye.format),Ne.setStyle(ye.style),Ne}exportJSON(){return{...super.exportJSON(),type:"tab",version:1}}setTextContent(){Qe(126)}setDetail(){Qe(127)}setMode(){Qe(128)}canInsertTextBefore(){return!1}canInsertTextAfter(){return!1}}function Dc(){return Nn(new Eu)}function ll(Le){return Le instanceof Eu}class Ia{constructor(ye,Ne,Ye){this._selection=null,this.key=ye,this.offset=Ne,this.type=Ye}is(ye){return this.key===ye.key&&this.offset===ye.offset&&this.type===ye.type}isBefore(ye){let Ne=this.getNode(),Ye=ye.getNode(),st=this.offset;if(ye=ye.offset,an(Ne)){var ft=Ne.getDescendantByIndex(st);Ne=ft??Ne}return an(Ye)&&(ft=Ye.getDescendantByIndex(ye),Ye=ft??Ye),Ne===Ye?st<ye:Ne.isBefore(Ye)}getNode(){let ye=fo(this.key);return ye===null&&Qe(20),ye}set(ye,Ne,Ye){let st=this._selection,ft=this.key;this.key=ye,this.offset=Ne,this.type=Ye,vl()||(zo()===ft&&ao(ye),st!==null&&(st.setCachedNodes(null),st.dirty=!0))}}function Oi(Le,ye,Ne){return new Ia(Le,ye,Ne)}function ls(Le,ye){let Ne=ye.__key,Ye=Le.offset,st="element";if(Jn(ye))st="text",ye=ye.getTextContentSize(),Ye>ye&&(Ye=ye);else if(!an(ye)){var ft=ye.getNextSibling();Jn(ft)?(Ne=ft.__key,Ye=0,st="text"):(ft=ye.getParent())&&(Ne=ft.__key,Ye=ye.getIndexWithinParent()+1)}Le.set(Ne,Ye,st)}function eu(Le,ye){if(an(ye)){let Ne=ye.getLastDescendant();an(Ne)||Jn(Ne)?ls(Le,Ne):ls(Le,ye)}else ls(Le,ye)}function Mc(Le,ye,Ne,Ye){let st=Le.getNode(),ft=st.getChildAtIndex(Le.offset),vt=ys(),Bt=Bs(st)?xi().append(vt):vt;vt.setFormat(Ne),vt.setStyle(Ye),ft===null?st.append(Bt):ft.insertBefore(Bt),Le.is(ye)&&ye.set(vt.__key,0,"text"),Le.set(vt.__key,0,"text")}function Gl(Le,ye,Ne,Ye){Le.key=ye,Le.offset=Ne,Le.type=Ye}class xu{constructor(ye){this._cachedNodes=null,this._nodes=ye,this.dirty=!1}getCachedNodes(){return this._cachedNodes}setCachedNodes(ye){this._cachedNodes=ye}is(ye){if(!Il(ye))return!1;let Ne=this._nodes,Ye=ye._nodes;return 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Ne}}function Wo(Le){return Le instanceof Su}class Su{constructor(ye,Ne,Ye,st){this.anchor=ye,this.focus=Ne,ye._selection=this,Ne._selection=this,this._cachedNodes=null,this.format=Ye,this.style=st,this.dirty=!1}getCachedNodes(){return this._cachedNodes}setCachedNodes(ye){this._cachedNodes=ye}is(ye){return Wo(ye)?this.anchor.is(ye.anchor)&&this.focus.is(ye.focus)&&this.format===ye.format&&this.style===ye.style:!1}isCollapsed(){return this.anchor.is(this.focus)}getNodes(){var ye=this._cachedNodes;if(ye!==null)return ye;ye=this.anchor;var Ne=this.focus,Ye=ye.isBefore(Ne),st=Ye?ye:Ne;Ye=Ye?Ne:ye,ye=st.getNode(),Ne=Ye.getNode();let ft=st.offset;return st=Ye.offset,an(ye)&&(Ye=ye.getDescendantByIndex(ft),ye=Ye??ye),an(Ne)&&(Ye=Ne.getDescendantByIndex(st),Ye!==null&&Ye!==ye&&Ne.getChildAtIndex(st)===Ye&&(Ye=Ye.getPreviousSibling()),Ne=Ye??Ne),ye=ye.is(Ne)?an(ye)&&0<ye.getChildrenSize()?[]:[ye]:ye.getNodesBetween(Ne),vl()||(this._cachedNodes=ye),ye}setTextNodeRange(ye,Ne,Ye,st){Gl(this.anchor,ye.__key,Ne,"text"),Gl(this.focus,Ye.__key,st,"text"),this._cachedNodes=null,this.dirty=!0}getTextContent(){let ye=this.getNodes();if(ye.length===0)return"";let Ne=ye[0],Ye=ye[ye.length-1],st=this.anchor,ft=this.focus,vt=st.isBefore(ft),[Bt,er]=tu(this),br="",dn=!0;for(let yn=0;yn<ye.length;yn++){let Wr=ye[yn];if(an(Wr)&&!Wr.isInline())dn||(br+=`
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Ao=br[$n];if(Ao.is(Ne)||an(Ao)&&Ao.isParentOf(Ne))break;Ao.isAttached()&&(!dn.has(Ao)||Ao.is(yn)?Wr||Pr.insertAfter(Ao,!1):Ao.remove())}if(!Wr)for(br=vt,vt=null;br!==null;)dn=br.getChildren(),Wr=dn.length,(Wr===0||dn[Wr-1].is(vt))&&(ft.delete(br.__key),vt=br),br=br.getParent();for(Ne.isToken()?Ye===st?Ne.select():(ye=ys(ye),ye.select(),Ne.replace(ye)):(Ne=Ne.spliceText(Ye,st-Ye,ye,!0),Ne.getTextContent()===""?Ne.remove():Ne.isComposing()&&this.anchor.type==="text"&&(this.anchor.offset-=ye.length)),ye=1;ye<er;ye++)Ne=Bt[ye],ft.has(Ne.__key)||Ne.remove()}}removeText(){this.insertText("")}formatText(ye){if(this.isCollapsed())this.toggleFormat(ye),ao(null);else{var Ne=this.getNodes(),Ye=[];for(var st of Ne)Jn(st)&&Ye.push(st);var ft=Ye.length;if(ft===0)this.toggleFormat(ye),ao(null);else{st=this.anchor;var vt=this.focus,Bt=this.isBackward();Ne=Bt?vt:st,st=Bt?st:vt;var 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ye=xi();return Go().splice(this.anchor.offset,0,[ye]),ye.select(),ye}var Ne=Zu(this);return ye=hl(this.anchor.getNode(),Li),an(ye)||Qe(136),Ne=(Ne=ye.getChildAtIndex(Ne))?[Ne,...Ne.getNextSiblings()]:[],(ye=ye.insertNewAfter(this,!1))?(ye.append(...Ne),ye.selectStart(),ye):null}insertLineBreak(ye){var Ne=Ri();this.insertNodes([Ne]),ye&&(ye=Ne.getParentOrThrow(),Ne=Ne.getIndexWithinParent(),ye.select(Ne,Ne))}extract(){var ye=this.getNodes(),Ne=ye.length,Ye=Ne-1,st=this.anchor;let ft=this.focus;var vt=ye[0];let Bt=ye[Ye],[er,br]=tu(this);return Ne===0?[]:Ne===1?Jn(vt)&&!this.isCollapsed()?(ye=er>br?br:er,Ye=vt.splitText(ye,er>br?er:br),ye=ye===0?Ye[0]:Ye[1],ye!=null?[ye]:[]):[vt]:(Ne=st.isBefore(ft),Jn(vt)&&(st=Ne?er:br,st===vt.getTextContentSize()?ye.shift():st!==0&&([,vt]=vt.splitText(st),ye[0]=vt)),Jn(Bt)&&(vt=Bt.getTextContent().length,Ne=Ne?br:er,Ne===0?ye.pop():Ne!==vt&&([Bt]=Bt.splitText(Ne),ye[Ye]=Bt)),ye)}modify(ye,Ne,Ye){var 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Ye=this.anchor,st=this.focus,ft=Ye.getNode();if(!ye&&(Ye.type==="element"&&an(ft)&&Ye.offset===ft.getChildrenSize()||Ye.type==="text"&&Ye.offset===ft.getTextContentSize())){var vt=ft.getParent();if(vt=ft.getNextSibling()||(vt===null?null:vt.getNextSibling()),an(vt)&&vt.isShadowRoot())return}if(vt=lr(st,ye),Fi(vt)&&!vt.isIsolated()){vt.isKeyboardSelectable()&&an(ft)&&ft.getChildrenSize()===0?(ft.remove(),ye=Cu(),ye.add(vt.__key),di(ye)):(vt.remove(),Ni().dispatchCommand(S,void 0));return}if(!ye&&an(vt)&&an(ft)&&ft.isEmpty()){ft.remove(),vt.selectStart();return}if(this.modify("extend",ye,"character"),this.isCollapsed()){if(ye&&Ye.offset===0&&(Ye.type==="element"?Ye.getNode():Ye.getNode().getParentOrThrow()).collapseAtStart(this))return}else{if(vt=st.type==="text"?st.getNode():null,ft=Ye.type==="text"?Ye.getNode():null,vt!==null&&vt.isSegmented()){if(Ye=st.offset,st=vt.getTextContentSize(),vt.is(ft)||ye&&Ye!==st||!ye&&Ye!==0){up(vt,ye,Ye);return}}else 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Ye=Le.offset,st=Le.getNode();Ye===0?(Ye=st.getPreviousSibling(),st=st.getParent(),ye?(Ne||!ye)&&Ye===null&&an(st)&&st.isInline()&&(ye=st.getPreviousSibling(),Jn(ye)&&(Le.key=ye.__key,Le.offset=ye.getTextContent().length)):an(Ye)&&!Ne&&Ye.isInline()?(Le.key=Ye.__key,Le.offset=Ye.getChildrenSize(),Le.type="element"):Jn(Ye)&&(Le.key=Ye.__key,Le.offset=Ye.getTextContent().length)):Ye===st.getTextContent().length&&(Ye=st.getNextSibling(),st=st.getParent(),ye&&an(Ye)&&Ye.isInline()?(Le.key=Ye.__key,Le.offset=0,Le.type="element"):(Ne||ye)&&Ye===null&&an(st)&&st.isInline()&&!st.canInsertTextAfter()&&(ye=st.getNextSibling(),Jn(ye)&&(Le.key=ye.__key,Le.offset=0)))}function Ps(Le,ye,Ne){if(Le.type==="text"&&ye.type==="text"){var Ye=Le.isBefore(ye);let st=Le.is(ye);ad(Le,Ye,st),ad(ye,!Ye,st),st&&(ye.key=Le.key,ye.offset=Le.offset,ye.type=Le.type),Ye=Ni(),Ye.isComposing()&&Ye._compositionKey!==Le.key&&Wo(Ne)&&(Ye=Ne.anchor,Ne=Ne.focus,Gl(Le,Ye.key,Ye.offset,Ye.type),Gl(ye,Ne.key,Ne.offset,Ne.type))}}function Tu(Le,ye,Ne,Ye,st,ft){return Le===null||Ne===null||!Gn(st,Le,Ne)||(ye=Td(Le,ye,Wo(ft)?ft.anchor:null,st),ye===null)||(Ye=Td(Ne,Ye,Wo(ft)?ft.focus:null,st),Ye===null||ye.type==="element"&&Ye.type==="element"&&(Le=Qi(Le),Ne=Qi(Ne),Fi(Le)&&Fi(Ne)))?null:(Ps(ye,Ye,ft),[ye,Ye])}function Rf(Le,ye,Ne,Ye,st,ft){let vt=Yi();return Le=new Su(Oi(Le,ye,st),Oi(Ne,Ye,ft),0,""),Le.dirty=!0,vt._selection=Le}function Cu(){return new xu(new Set)}function nf(Le){let ye=Le.getEditorState()._selection,Ne=mi(Le._window);return Wo(ye)||ye==null?Yu(ye,Ne,Le,null):ye.clone()}function Yu(Le,ye,Ne,Ye){var st=Ne._window;if(st===null)return null;var ft=(st=Ye||st.event)?st.type:void 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ml(Le,ye,Ne){Le._updating?Le._updates.push([ye,Ne]):us(Le,ye,Ne)}class ec extends gi{constructor(ye){super(ye)}decorate(){Qe(47)}isIsolated(){return!1}isInline(){return!0}isKeyboardSelectable(){return!0}}function Fi(Le){return Le instanceof ec}class Pc extends gi{constructor(ye){super(ye),this.__last=this.__first=null,this.__indent=this.__format=this.__size=0,this.__dir=null}getFormat(){return this.getLatest().__format}getFormatType(){let ye=this.getFormat();return bn[ye]||""}getIndent(){return this.getLatest().__indent}getChildren(){let ye=[],Ne=this.getFirstChild();for(;Ne!==null;)ye.push(Ne),Ne=Ne.getNextSibling();return ye}getChildrenKeys(){let ye=[],Ne=this.getFirstChild();for(;Ne!==null;)ye.push(Ne.__key),Ne=Ne.getNextSibling();return ye}getChildrenSize(){return this.getLatest().__size}isEmpty(){return this.getChildrenSize()===0}isDirty(){let ye=Ni()._dirtyElements;return ye!==null&&ye.has(this.__key)}isLastChild(){let 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ye=this.getWritable();return this.getChildren().forEach(Ne=>Ne.remove()),ye}append(...ye){return this.splice(this.getChildrenSize(),0,ye)}setDirection(ye){let Ne=this.getWritable();return Ne.__dir=ye,Ne}setFormat(ye){return this.getWritable().__format=ye!==""?Vr[ye]:0,this}setIndent(ye){return this.getWritable().__indent=ye,this}splice(ye,Ne,Ye){let st=Ye.length,ft=this.getChildrenSize(),vt=this.getWritable(),Bt=vt.__key;var er=[],br=[];let dn=this.getChildAtIndex(ye+Ne),yn=null,Wr=ft-Ne+st;if(ye!==0)if(ye===ft)yn=this.getLastChild();else{var Pr=this.getChildAtIndex(ye);Pr!==null&&(yn=Pr.getPreviousSibling())}if(0<Ne){var $n=yn===null?this.getFirstChild():yn.getNextSibling();for(Pr=0;Pr<Ne;Pr++){$n===null&&Qe(100);var Ao=$n.getNextSibling(),Vo=$n.__key;$n=$n.getWritable(),xn($n),br.push(Vo),$n=Ao}}for(Pr=yn,Ao=0;Ao<st;Ao++){Vo=Ye[Ao],Pr!==null&&Vo.is(Pr)&&(yn=Pr=Pr.getPreviousSibling()),$n=Vo.getWritable(),$n.__parent===Bt&&Wr--,xn($n);let Po=Vo.__key;Pr===null?(vt.__first=Po,$n.__prev=null):(Pr=Pr.getWritable(),Pr.__next=Po,$n.__prev=Pr.__key),Vo.__key===Bt&&Qe(76),$n.__parent=Bt,er.push(Po),Pr=Vo}if(ye+Ne===ft?Pr!==null&&(Pr.getWritable().__next=null,vt.__last=Pr.__key):dn!==null&&(ye=dn.getWritable(),Pr!==null?(Ne=Pr.getWritable(),ye.__prev=Pr.__key,Ne.__next=dn.__key):ye.__prev=null),vt.__size=Wr,br.length&&(ye=Co(),Wo(ye))){br=new Set(br),er=new Set(er);let{anchor:Po,focus:Xi}=ye;ru(Po,br,er)&&Lc(Po,Po.getNode(),this,yn,dn),ru(Xi,br,er)&&Lc(Xi,Xi.getNode(),this,yn,dn),Wr!==0||this.canBeEmpty()||Vn(this)||this.remove()}return vt}exportJSON(){return{children:[],direction:this.getDirection(),format:this.getFormatType(),indent:this.getIndent(),type:"element",version:1}}insertNewAfter(){return null}canIndent(){return!0}collapseAtStart(){return!1}excludeFromCopy(){return!1}canExtractContents(){return!0}canReplaceWith(){return!0}canInsertAfter(){return!0}canBeEmpty(){return!0}canInsertTextBefore(){return!0}canInsertTextAfter(){return!0}isInline(){return!1}isShadowRoot(){return!1}canMergeWith(){return!1}extractWithChild(){return!1}}function an(Le){return Le instanceof Pc}function ru(Le,ye,Ne){for(Le=Le.getNode();Le;){let Ye=Le.__key;if(ye.has(Ye)&&!Ne.has(Ye))return!0;Le=Le.getParent()}return!1}class tc extends Pc{static getType(){return"root"}static clone(){return new tc}constructor(){super("root"),this.__cachedText=null}getTopLevelElementOrThrow(){Qe(51)}getTextContent(){let ye=this.__cachedText;return!vl()&&Ni()._dirtyType!==0||ye===null?super.getTextContent():ye}remove(){Qe(52)}replace(){Qe(53)}insertBefore(){Qe(54)}insertAfter(){Qe(55)}updateDOM(){return!1}append(...ye){for(let Ne=0;Ne<ye.length;Ne++){let Ye=ye[Ne];an(Ye)||Fi(Ye)||Qe(56)}return super.append(...ye)}static importJSON(ye){let Ne=Go();return Ne.setFormat(ye.format),Ne.setIndent(ye.indent),Ne.setDirection(ye.direction),Ne}exportJSON(){return{children:[],direction:this.getDirection(),format:this.getFormatType(),indent:this.getIndent(),type:"root",version:1}}collapseAtStart(){return!0}}function Bs(Le){return Le instanceof tc}function rc(Le,ye){if(ye=ye.getEditorState()._selection,Le=Le._selection,Le!==null){if(Le.dirty||!Le.is(ye))return!0}else if(ye!==null)return!0;return!1}function nu(){return new ou(new Map([["root",new tc]]))}function cl(Le){let ye=Le.exportJSON();var Ne=Le.constructor;if(ye.type!==Ne.getType()&&Qe(130,Ne.name),an(Le)){let Ye=ye.children;for(Array.isArray(Ye)||Qe(59,Ne.name),Le=Le.getChildren(),Ne=0;Ne<Le.length;Ne++){let st=cl(Le[Ne]);Ye.push(st)}}return ye}class ou{constructor(ye,Ne){this._nodeMap=ye,this._selection=Ne||null,this._readOnly=this._flushSync=!1}isEmpty(){return this._nodeMap.size===1&&this._selection===null}read(ye){return Si(this,ye)}clone(ye){return ye=new ou(this._nodeMap,ye===void 0?this._selection:ye),ye._readOnly=!0,ye}toJSON(){return Si(this,()=>({root:cl(Go())}))}}class Nl extends Pc{static getType(){return"paragraph"}static clone(ye){return new Nl(ye.__key)}createDOM(ye){let Ne=document.createElement("p");return ye=Rt(ye.theme,"paragraph"),ye!==void 0&&Ne.classList.add(...ye),Ne}updateDOM(){return!1}static importDOM(){return{p:()=>({conversion:kf,priority:0})}}exportDOM(ye){if({element:ye}=super.exportDOM(ye),ye&&ks(ye)){this.isEmpty()&&ye.append(document.createElement("br"));var Ne=this.getFormatType();ye.style.textAlign=Ne,(Ne=this.getDirection())&&(ye.dir=Ne),Ne=this.getIndent(),0<Ne&&(ye.style.textIndent=`${20*Ne}px`)}return{element:ye}}static importJSON(ye){let Ne=xi();return Ne.setFormat(ye.format),Ne.setIndent(ye.indent),Ne.setDirection(ye.direction),Ne}exportJSON(){return{...super.exportJSON(),type:"paragraph",version:1}}insertNewAfter(ye,Ne){ye=xi();let Ye=this.getDirection();return ye.setDirection(Ye),this.insertAfter(ye,Ne),ye}collapseAtStart(){let ye=this.getChildren();if(ye.length===0||Jn(ye[0])&&ye[0].getTextContent().trim()===""){if(this.getNextSibling()!==null)return this.selectNext(),this.remove(),!0;if(this.getPreviousSibling()!==null)return this.selectPrevious(),this.remove(),!0}return!1}}function kf(Le){let ye=xi();return Le.style&&(ye.setFormat(Le.style.textAlign),Le=parseInt(Le.style.textIndent,10)/20,0<Le&&ye.setIndent(Le)),{node:ye}}function xi(){return Nn(new Nl)}function $u(Le,ye,Ne,Ye){let st=Le._keyToDOMMap;st.clear(),Le._editorState=nu(),Le._pendingEditorState=Ye,Le._compositionKey=null,Le._dirtyType=0,Le._cloneNotNeeded.clear(),Le._dirtyLeaves=new Set,Le._dirtyElements.clear(),Le._normalizedNodes=new Set,Le._updateTags=new Set,Le._updates=[],Le._blockCursorElement=null,Ye=Le._observer,Ye!==null&&(Ye.disconnect(),Le._observer=null),ye!==null&&(ye.textContent=""),Ne!==null&&(Ne.textContent="",st.set("root",Ne))}function dl(Le,ye){let Ne=new 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nt=this._selection,it=this.key;this.key=$e,this.offset=Pe,this.type=We,cd()||(va()===it&&Qn($e),nt!==null&&(nt.setCachedNodes(null),nt.dirty=!0))}}function Hi(ze,$e,Pe){return new Hs(ze,$e,Pe)}function Bi(ze,$e){let Pe=$e.__key,We=ze.offset,nt="element";if(Rn($e)){nt="text";const it=$e.getTextContentSize();We>it&&(We=it)}else if(!qr($e)){const it=$e.getNextSibling();if(Rn(it))Pe=it.__key,We=0,nt="text";else{const mt=$e.getParent();mt&&(Pe=mt.__key,We=$e.getIndexWithinParent()+1)}}ze.set(Pe,We,nt)}function Ll(ze,$e){if(qr($e)){const Pe=$e.getLastDescendant();qr(Pe)||Rn(Pe)?Bi(ze,Pe):Bi(ze,$e)}else Bi(ze,$e)}function su(ze,$e,Pe,We){const nt=ze.getNode(),it=nt.getChildAtIndex(ze.offset),mt=Xo(),xt=Gi(nt)?Sl().append(mt):mt;mt.setFormat(Pe),mt.setStyle(We),it===null?nt.append(xt):it.insertBefore(xt),ze.is($e)&&$e.set(mt.__key,0,"text"),ze.set(mt.__key,0,"text")}function Pl(ze,$e,Pe,We){ze.key=$e,ze.offset=Pe,ze.type=We}class dc{constructor($e){this._cachedNodes=null,this._nodes=$e,this.dirty=!1}getCachedNodes(){return this._cachedNodes}setCachedNodes($e){this._cachedNodes=$e}is($e){if(!la($e))return!1;const Pe=this._nodes,We=$e._nodes;return Pe.size===We.size&&Array.from(Pe).every(nt=>We.has(nt))}isCollapsed(){return!1}isBackward(){return!1}getStartEndPoints(){return null}add($e){this.dirty=!0,this._nodes.add($e),this._cachedNodes=null}delete($e){this.dirty=!0,this._nodes.delete($e),this._cachedNodes=null}clear(){this.dirty=!0,this._nodes.clear(),this._cachedNodes=null}has($e){return this._nodes.has($e)}clone(){return new dc(new Set(this._nodes))}extract(){return this.getNodes()}insertRawText($e){}insertText(){}insertNodes($e){const Pe=this.getNodes(),We=Pe.length,nt=Pe[We-1];let it;if(Rn(nt))it=nt.select();else{const mt=nt.getIndexWithinParent()+1;it=nt.getParentOrThrow().select(mt,mt)}it.insertNodes($e);for(let mt=0;mt<We;mt++)Pe[mt].remove()}getNodes(){const $e=this._cachedNodes;if($e!==null)return $e;const Pe=this._nodes,We=[];for(const nt of Pe){const it=ma(nt);it!==null&&We.push(it)}return cd()||(this._cachedNodes=We),We}getTextContent(){const $e=this.getNodes();let Pe="";for(let We=0;We<$e.length;We++)Pe+=$e[We].getTextContent();return Pe}}function ho(ze){return ze instanceof Gs}class Gs{constructor($e,Pe,We,nt){this.anchor=$e,this.focus=Pe,$e._selection=this,Pe._selection=this,this._cachedNodes=null,this.format=We,this.style=nt,this.dirty=!1}getCachedNodes(){return this._cachedNodes}setCachedNodes($e){this._cachedNodes=$e}is($e){return ho($e)?this.anchor.is($e.anchor)&&this.focus.is($e.focus)&&this.format===$e.format&&this.style===$e.style:!1}isCollapsed(){return this.anchor.is(this.focus)}getNodes(){const $e=this._cachedNodes;if($e!==null)return $e;const Pe=this.anchor,We=this.focus,nt=Pe.isBefore(We),it=nt?Pe:We,mt=nt?We:Pe;let xt=it.getNode(),qt=mt.getNode();const Jt=it.offset,rr=mt.offset;if(qr(xt)){const cr=xt.getDescendantByIndex(Jt);xt=cr??xt}if(qr(qt)){let cr=qt.getDescendantByIndex(rr);cr!==null&&cr!==xt&&qt.getChildAtIndex(rr)===cr&&(cr=cr.getPreviousSibling()),qt=cr??qt}let ur;return xt.is(qt)?qr(xt)&&xt.getChildrenSize()>0?ur=[]:ur=[xt]:ur=xt.getNodesBetween(qt),cd()||(this._cachedNodes=ur),ur}setTextNodeRange($e,Pe,We,nt){Pl(this.anchor,$e.__key,Pe,"text"),Pl(this.focus,We.__key,nt,"text"),this._cachedNodes=null,this.dirty=!0}getTextContent(){const $e=this.getNodes();if($e.length===0)return"";const Pe=$e[0],We=$e[$e.length-1],nt=this.anchor,it=this.focus,mt=nt.isBefore(it),[xt,qt]=Iu(this);let Jt="",rr=!0;for(let ur=0;ur<$e.length;ur++){const cr=$e[ur];if(qr(cr)&&!cr.isInline())rr||(Jt+=`
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if(this.isCollapsed()&&ur===0&&(ir.isSegmented()||ir.isToken()||!ir.canInsertTextBefore()||!Br.canInsertTextBefore()&&ir.getPreviousSibling()===null)){let kn=ir.getPreviousSibling();if((!Rn(kn)||ta(kn))&&(kn=Xo(),kn.setFormat(it),Br.canInsertTextBefore()?ir.insertBefore(kn):Br.insertBefore(kn)),kn.select(),ir=kn,$e!==""){this.insertText($e);return}}else if(ir.isSegmented()&&ur!==Zr){const kn=Xo(ir.getTextContent());kn.setFormat(it),ir.replace(kn),ir=kn}else if(!this.isCollapsed()&&$e!==""){const kn=en.getParent();if(!Br.canInsertTextBefore()||!Br.canInsertTextAfter()||qr(kn)&&(!kn.canInsertTextBefore()||!kn.canInsertTextAfter())){this.insertText(""),xa(this.anchor,this.focus,null),this.insertText($e);return}}if(qt===1){if(ir.isToken()){const mo=Xo($e);mo.select(),ir.replace(mo);return}const kn=ir.getFormat(),ei=ir.getStyle();if(ur===cr&&(kn!==it||ei!==mt))if(ir.getTextContent()==="")ir.setFormat(it),ir.setStyle(mt);else{const mo=Xo($e);if(mo.setFormat(it),mo.setStyle(mt),mo.select(),ur===0)ir.insertBefore(mo,!1);else{const[ki]=ir.splitText(ur);ki.insertAfter(mo,!1)}mo.isComposing()&&this.anchor.type==="text"&&(this.anchor.offset-=$e.length);return}else if(Ea(ir)){const mo=Xo($e);mo.setFormat(it),mo.setStyle(mt),mo.select(),ir.replace(mo);return}const Bo=cr-ur;ir=ir.spliceText(ur,Bo,$e,!0),ir.getTextContent()===""?ir.remove():this.anchor.type==="text"&&(ir.isComposing()?this.anchor.offset-=$e.length:(this.format=kn,this.style=ei))}else{const kn=new Set([...ir.getParentKeys(),...en.getParentKeys()]),ei=qr(ir)?ir:ir.getParentOrThrow();let Bo=qr(en)?en:en.getParentOrThrow(),mo=en;if(!ei.is(Bo)&&Bo.isInline())do mo=Bo,Bo=Bo.getParentOrThrow();while(Bo.isInline());if(rr.type==="text"&&(cr!==0||en.getTextContent()==="")||rr.type==="element"&&en.getIndexWithinParent()<cr)if(Rn(en)&&!en.isToken()&&cr!==en.getTextContentSize()){if(en.isSegmented()){const Ci=Xo(en.getTextContent());en.replace(Ci),en=Ci}!Gi(rr.getNode())&&rr.type==="text"&&(en=en.spliceText(0,cr,"")),kn.add(en.__key)}else{const Ci=en.getParentOrThrow();!Ci.canBeEmpty()&&Ci.getChildrenSize()===1?Ci.remove():en.remove()}else kn.add(en.__key);const ki=Bo.getChildren(),Cs=new Set(xt),jl=ei.is(Bo),As=ei.isInline()&&ir.getNextSibling()===null?ei:ir;for(let Ci=ki.length-1;Ci>=0;Ci--){const Wa=ki[Ci];if(Wa.is(ir)||qr(Wa)&&Wa.isParentOf(ir))break;Wa.isAttached()&&(!Cs.has(Wa)||Wa.is(mo)?jl||As.insertAfter(Wa,!1):Wa.remove())}if(!jl){let Ci=Bo,Wa=null;for(;Ci!==null;){const cu=Ci.getChildren(),Du=cu.length;(Du===0||cu[Du-1].is(Wa))&&(kn.delete(Ci.__key),Wa=Ci),Ci=Ci.getParent()}}if(!ir.isToken())ir=ir.spliceText(ur,Zr-ur,$e,!0),ir.getTextContent()===""?ir.remove():ir.isComposing()&&this.anchor.type==="text"&&(this.anchor.offset-=$e.length);else if(ur===Zr)ir.select();else{const Ci=Xo($e);Ci.select(),ir.replace(Ci)}for(let Ci=1;Ci<qt;Ci++){const Wa=xt[Ci],cu=Wa.__key;kn.has(cu)||Wa.remove()}}}removeText(){this.insertText("")}formatText($e){if(this.isCollapsed()){this.toggleFormat($e),Qn(null);return}const Pe=this.getNodes(),We=[];for(const en of Pe)Rn(en)&&We.push(en);const nt=We.length;if(nt===0){this.toggleFormat($e),Qn(null);return}const it=this.anchor,mt=this.focus,xt=this.isBackward(),qt=xt?mt:it,Jt=xt?it:mt;let rr=0,ur=We[0],cr=qt.type==="element"?0:qt.offset;if(qt.type==="text"&&cr===ur.getTextContentSize()&&(rr=1,ur=We[1],cr=0),ur==null)return;const ir=ur.getFormatFlags($e,null),Kr=nt-1;let Zr=We[Kr];const Br=Jt.type==="text"?Jt.offset:Zr.getTextContentSize();if(ur.is(Zr)){if(cr===Br)return;if(cr===0&&Br===ur.getTextContentSize())ur.setFormat(ir);else{const en=ur.splitText(cr,Br),kn=cr===0?en[0]:en[1];kn.setFormat(ir),qt.type==="text"&&qt.set(kn.__key,0,"text"),Jt.type==="text"&&Jt.set(kn.__key,Br-cr,"text")}this.format=ir;return}cr!==0&&([,ur]=ur.splitText(cr),cr=0),ur.setFormat(ir);const Hn=Zr.getFormatFlags($e,ir);Br>0&&(Br!==Zr.getTextContentSize()&&([Zr]=Zr.splitText(Br)),Zr.setFormat(Hn));for(let en=rr+1;en<Kr;en++){const kn=We[en];if(!kn.isToken()){const ei=kn.getFormatFlags($e,Hn);kn.setFormat(ei)}}qt.type==="text"&&qt.set(ur.__key,cr,"text"),Jt.type==="text"&&Jt.set(Zr.__key,Br,"text"),this.format=ir|Hn}insertNodes($e){if($e.length===0)return;if(this.anchor.key==="root"){this.insertParagraph();const Hn=pa();if(!ho(Hn))throw Error("Expected RangeSelection after insertParagraph");return Hn.insertNodes($e)}const Pe=this.isBackward()?this.focus:this.anchor,We=Tu(Pe.getNode(),Ps),nt=$e[$e.length-1];if("__language"in We&&qr(We)){if("__language"in $e[0])this.insertText($e[0].getTextContent());else{const Hn=fp(this);We.splice(Hn,0,$e),nt.selectEnd()}return}const it=Hn=>(qr(Hn)||Ta(Hn))&&!Hn.isInline();if(!$e.some(it)){if(!qr(We))throw Error("Expected 'firstBlock' to be an ElementNode");const Hn=fp(this);We.splice(Hn,0,$e),nt.selectEnd();return}const mt=wd($e),xt=mt.getLastDescendant(),qt=mt.getChildren(),Jt=Hn=>"__value"in Hn&&"__checked"in Hn,rr=Hn=>qr(Hn)&&Ps(Hn)&&!Hn.isEmpty()&&qr(We)&&(!We.isEmpty()||Jt(We)),cr=!qr(We)||!We.isEmpty()?this.insertParagraph():null,ir=qt[qt.length-1];let Kr=qt[0];if(rr(Kr)){if(!qr(We))throw Error("Expected 'firstBlock' to be an ElementNode");We.append(...Kr.getChildren()),Kr=qt[1]}Kr&&ri(We,Kr);const Zr=Tu(xt,Ps);cr&&qr(Zr)&&(Jt(cr)||Ps(ir))&&(Zr.append(...cr.getChildren()),cr.remove()),qr(We)&&We.isEmpty()&&We.remove(),xt.selectEnd();const Br=qr(We)?We.getLastChild():null;li(Br)&&Zr!==We&&Br.remove()}insertParagraph(){if(this.anchor.key==="root"){const mt=Sl();return qn().splice(this.anchor.offset,0,[mt]),mt.select(),mt}const $e=fp(this),Pe=Tu(this.anchor.getNode(),Ps);if(!qr(Pe))throw Error("Expected ancestor to be an ElementNode");const We=Pe.getChildAtIndex($e),nt=We?[We,...We.getNextSiblings()]:[],it=Pe.insertNewAfter(this,!1);return it?(it.append(...nt),it.selectStart(),it):null}insertLineBreak($e){const Pe=bs();if(this.insertNodes([Pe]),$e){const We=Pe.getParentOrThrow(),nt=Pe.getIndexWithinParent();We.select(nt,nt)}}extract(){const $e=this.getNodes(),Pe=$e.length,We=Pe-1,nt=this.anchor,it=this.focus;let mt=$e[0],xt=$e[We];const[qt,Jt]=Iu(this);if(Pe===0)return[];if(Pe===1){if(Rn(mt)&&!this.isCollapsed()){const ur=qt>Jt?Jt:qt,cr=qt>Jt?qt:Jt,ir=mt.splitText(ur,cr),Kr=ur===0?ir[0]:ir[1];return Kr!=null?[Kr]:[]}return[mt]}const rr=nt.isBefore(it);if(Rn(mt)){const ur=rr?qt:Jt;ur===mt.getTextContentSize()?$e.shift():ur!==0&&([,mt]=mt.splitText(ur),$e[0]=mt)}if(Rn(xt)){const cr=xt.getTextContent().length,ir=rr?Jt:qt;ir===0?$e.pop():ir!==cr&&([xt]=xt.splitText(ir),$e[We]=xt)}return $e}modify($e,Pe,We){const nt=this.focus,it=this.anchor,mt=$e==="move",xt=lc(nt,Pe);if(Ta(xt)&&!xt.isIsolated()){if(mt&&xt.isKeyboardSelectable()){const ir=ud();ir.add(xt.__key),yi(ir);return}const cr=Pe?xt.getPreviousSibling():xt.getNextSibling();if(Rn(cr)){const ir=cr.__key,Kr=Pe?cr.getTextContent().length:0;nt.set(ir,Kr,"text"),mt&&it.set(ir,Kr,"text");return}else{const ir=xt.getParentOrThrow();let Kr,Zr;qr(cr)?(Zr=cr.__key,Kr=Pe?cr.getChildrenSize():0):(Kr=xt.getIndexWithinParent(),Zr=ir.__key,Pe||Kr++),nt.set(Zr,Kr,"element"),mt&&it.set(Zr,Kr,"element");return}}const qt=Ra(),Jt=tu(qt._window);if(!Jt)return;const rr=qt._blockCursorElement,ur=qt._rootElement;if(ur!==null&&rr!==null&&qr(xt)&&!xt.isInline()&&!xt.canBeEmpty()&&Il(rr,qt,ur),ld(Jt,$e,Pe?"backward":"forward",We),Jt.rangeCount>0){const cr=Jt.getRangeAt(0),ir=this.anchor.getNode(),Kr=Gi(ir)?ir:ls(ir);if(this.applyDOMRange(cr),this.dirty=!0,!mt){const Zr=this.getNodes(),Br=[];let Hn=!1;for(let en=0;en<Zr.length;en++){const kn=Zr[en];Dc(kn,Kr)?Br.push(kn):Hn=!0}if(Hn&&Br.length>0)if(Pe){const en=Br[0];qr(en)?en.selectStart():en.getParentOrThrow().selectStart()}else{const en=Br[Br.length-1];qr(en)?en.selectEnd():en.getParentOrThrow().selectEnd()}(Jt.anchorNode!==cr.startContainer||Jt.anchorOffset!==cr.startOffset)&&Nf(this)}}}deleteCharacter($e){const Pe=this.isCollapsed();if(this.isCollapsed()){const We=this.anchor,nt=this.focus;let it=We.getNode();if(!$e&&(We.type==="element"&&qr(it)&&We.offset===it.getChildrenSize()||We.type==="text"&&We.offset===it.getTextContentSize())){const xt=it.getParent(),qt=it.getNextSibling()||(xt===null?null:xt.getNextSibling());if(qr(qt)&&qt.isShadowRoot())return}const mt=lc(nt,$e);if(Ta(mt)&&!mt.isIsolated()){if(mt.isKeyboardSelectable()&&qr(it)&&it.getChildrenSize()===0){it.remove();const xt=ud();xt.add(mt.__key),yi(xt)}else mt.remove(),Ra().dispatchCommand(C,void 0);return}else if(!$e&&qr(mt)&&qr(it)&&it.isEmpty()){it.remove(),mt.selectStart();return}if(this.modify("extend",$e,"character"),this.isCollapsed()){if($e&&We.offset===0&&(We.type==="element"?We.getNode():We.getNode().getParentOrThrow()).collapseAtStart(this))return}else{const xt=nt.type==="text"?nt.getNode():null;if(it=We.type==="text"?We.getNode():null,xt!==null&&xt.isSegmented()){const qt=nt.offset,Jt=xt.getTextContentSize();if(xt.is(it)||$e&&qt!==Jt||!$e&&qt!==0){cp(xt,$e,qt);return}}else if(it!==null&&it.isSegmented()){const qt=We.offset,Jt=it.getTextContentSize();if(it.is(xt)||$e&&qt!==0||!$e&&qt!==Jt){cp(it,$e,qt);return}}Ul(this,$e)}}if(this.removeText(),$e&&!Pe&&this.isCollapsed()&&this.anchor.type==="element"&&this.anchor.offset===0){const We=this.anchor.getNode();We.isEmpty()&&Gi(We.getParent())&&We.getIndexWithinParent()===0&&We.collapseAtStart(this)}}deleteLine($e){this.isCollapsed()&&(this.anchor.type==="text"&&this.modify("extend",$e,"lineboundary"),($e?this.focus:this.anchor).offset===0&&this.modify("extend",$e,"character")),this.removeText()}deleteWord($e){this.isCollapsed()&&this.modify("extend",$e,"word"),this.removeText()}isBackward(){return this.focus.isBefore(this.anchor)}getStartEndPoints(){return[this.anchor,this.focus]}}function la(ze){return ze instanceof dc}function ku(ze){const $e=ze.offset;if(ze.type==="text")return $e;const Pe=ze.getNode();return $e===Pe.getChildrenSize()?Pe.getTextContent().length:0}function Iu(ze){const $e=ze.getStartEndPoints();if($e===null)return[0,0];const[Pe,We]=$e;return Pe.type==="element"&&We.type==="element"&&Pe.key===We.key&&Pe.offset===We.offset?[0,0]:[ku(Pe),ku(We)]}function Nf(ze){const 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xt=ze.childNodes,qt=xt.length;nt===qt&&(mt=!0,nt=qt-1);let Jt=xt[nt],rr=!1;if(Jt===We._blockCursorElement?(Jt=xt[nt+1],rr=!0):We._blockCursorElement!==null&&nt--,it=Ya(Jt),Rn(it))nt=Zl(it,mt);else{let ur=Ya(ze);if(ur===null)return null;if(qr(ur)){let cr=ur.getChildAtIndex(nt);if(qr(cr)&&Df(cr,nt,Pe)){const ir=mt?cr.getLastDescendant():cr.getFirstDescendant();ir===null?(ur=cr,nt=0):(cr=ir,ur=qr(cr)?cr:cr.getParentOrThrow())}Rn(cr)?(it=cr,ur=null,nt=Zl(cr,mt)):cr!==ur&&mt&&!rr&&nt++}else{const cr=ur.getIndexWithinParent();$e===0&&Ta(ur)&&Ya(ze)===ur?nt=cr:nt=cr+1,ur=ur.getParentOrThrow()}if(qr(ur))return Hi(ur.__key,nt,"element")}}else it=Ya(ze);return Rn(it)?Hi(it.__key,nt,"text"):null}function fc(ze,$e,Pe){const We=ze.offset,nt=ze.getNode();if(We===0){const it=nt.getPreviousSibling(),mt=nt.getParent();if(!$e)qr(it)&&!Pe&&it.isInline()?(ze.key=it.__key,ze.offset=it.getChildrenSize(),ze.type="element"):Rn(it)&&(ze.key=it.__key,ze.offset=it.getTextContent().length);else 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Oo(ze,$e,Pe){if(ze._updating===!1||Vs!==ze){let nt=!1;return ze.update(()=>{nt=Oo(ze,$e,Pe)}),nt}const We=Ku(ze);for(let nt=4;nt>=0;nt--)for(let it=0;it<We.length;it++){const qt=We[it]._commands.get($e);if(qt!==void 0){const Jt=qt[nt];if(Jt!==void 0){const rr=Array.from(Jt),ur=rr.length;for(let cr=0;cr<ur;cr++)if(rr[cr](Pe,ze)===!0)return!0}}}return!1}function go(ze){const $e=ze._updates;if($e.length!==0){const Pe=$e.shift();if(Pe){const[We,nt]=Pe;Nu(ze,We,nt)}}}function ji(ze,$e){if(ze._deferred=[],$e.length!==0){const Pe=ze._updating;ze._updating=!0;try{for(let We=0;We<$e.length;We++)$e[We]()}finally{ze._updating=Pe}}}function Ka(ze,$e){const Pe=ze._updates;let We=$e||!1;for(;Pe.length!==0;){const nt=Pe.shift();if(nt){const[it,mt]=nt;let xt,qt;mt!==void 0&&(xt=mt.onUpdate,qt=mt.tag,mt.skipTransforms&&(We=!0),xt&&ze._deferred.push(xt),qt&&ze._updateTags.add(qt)),it()}}return We}function Nu(ze,$e,Pe){const We=ze._updateTags;let nt,it,mt=!1,xt=!1;Pe!==void 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0&&(it=mt);const xt=this.__key;if(ho(We))We.anchor.set(xt,nt,"element"),We.focus.set(xt,it,"element"),We.dirty=!0;else return jc(xt,nt,xt,it,"element","element");return We}selectStart(){const $e=this.getFirstDescendant();return $e?$e.selectStart():this.select()}selectEnd(){const $e=this.getLastDescendant();return $e?$e.selectEnd():this.select()}clear(){const $e=this.getWritable();return this.getChildren().forEach(We=>We.remove()),$e}append(...$e){return this.splice(this.getChildrenSize(),0,$e)}setDirection($e){const Pe=this.getWritable();return Pe.__dir=$e,Pe}setFormat($e){const Pe=this.getWritable();return Pe.__format=$e!==""?Oa[$e]:0,this}setIndent($e){const Pe=this.getWritable();return Pe.__indent=$e,this}splice($e,Pe,We){const nt=We.length,it=this.getChildrenSize(),mt=this.getWritable(),xt=mt.__key,qt=[],Jt=[],rr=this.getChildAtIndex($e+Pe);let ur=null,cr=it-Pe+nt;if($e!==0)if($e===it)ur=this.getLastChild();else{const Kr=this.getChildAtIndex($e);Kr!==null&&(ur=Kr.getPreviousSibling())}if(Pe>0){let Kr=ur===null?this.getFirstChild():ur.getNextSibling();for(let Zr=0;Zr<Pe;Zr++){if(Kr===null)throw Error("splice: sibling not found");const Br=Kr.getNextSibling(),Hn=Kr.__key,en=Kr.getWritable();ga(en),Jt.push(Hn),Kr=Br}}let ir=ur;for(let Kr=0;Kr<nt;Kr++){const Zr=We[Kr];ir!==null&&Zr.is(ir)&&(ur=ir=ir.getPreviousSibling());const Br=Zr.getWritable();Br.__parent===xt&&cr--,ga(Br);const Hn=Zr.__key;if(ir===null)mt.__first=Hn,Br.__prev=null;else{const en=ir.getWritable();en.__next=Hn,Br.__prev=en.__key}if(Zr.__key===xt)throw Error("append: attempting to append self");Br.__parent=xt,qt.push(Hn),ir=Zr}if($e+Pe===it){if(ir!==null){const Kr=ir.getWritable();Kr.__next=null,mt.__last=ir.__key}}else if(rr!==null){const Kr=rr.getWritable();if(ir!==null){const Zr=ir.getWritable();Kr.__prev=ir.__key,Zr.__next=rr.__key}else Kr.__prev=null}if(mt.__size=cr,Jt.length){const Kr=pa();if(ho(Kr)){const Zr=new Set(Jt),Br=new Set(qt),{anchor:Hn,focus:en}=Kr;zr(Hn,Zr,Br)&&El(Hn,Hn.getNode(),this,ur,rr),zr(en,Zr,Br)&&El(en,en.getNode(),this,ur,rr),cr===0&&!this.canBeEmpty()&&!eu(this)&&this.remove()}}return mt}exportJSON(){return{children:[],direction:this.getDirection(),format:this.getFormatType(),indent:this.getIndent(),type:"element",version:1}}insertNewAfter($e,Pe){return null}canIndent(){return!0}collapseAtStart($e){return!1}excludeFromCopy($e){return!1}canExtractContents(){return!0}canReplaceWith($e){return!0}canInsertAfter($e){return!0}canBeEmpty(){return!0}canInsertTextBefore(){return!0}canInsertTextAfter(){return!0}isInline(){return!1}isShadowRoot(){return!1}canMergeWith($e){return!1}extractWithChild($e,Pe,We){return!1}}function qr(ze){return ze instanceof La}function zr(ze,$e,Pe){let We=ze.getNode();for(;We;){const nt=We.__key;if($e.has(nt)&&!Pe.has(nt))return!0;We=We.getParent()}return!1}class Pa extends La{static getType(){return"root"}static clone(){return new 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Pe.setFormat($e.format),Pe.setIndent($e.indent),Pe.setDirection($e.direction),Pe}exportJSON(){return{children:[],direction:this.getDirection(),format:this.getFormatType(),indent:this.getIndent(),type:"root",version:1}}collapseAtStart(){return!0}}function Do(){return new Pa}function Gi(ze){return ze instanceof Pa}function fd(ze,$e){const Pe=$e.getEditorState()._selection,We=ze._selection;if(We!==null){if(We.dirty||!We.is(Pe))return!0}else if(Pe!==null)return!0;return!1}function Ua(ze){return new oc(new Map(ze._nodeMap))}function Bl(){return new oc(new Map([["root",Do()]]))}function pd(ze){const $e=ze.exportJSON(),Pe=ze.constructor;if($e.type!==Pe.getType())throw Error(`LexicalNode: Node ${Pe.name} does not match the serialized type. 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importDOM(){return{p:$e=>({conversion:Ts,priority:0})}}exportDOM($e){const{element:Pe}=super.exportDOM($e);if(Pe&&ad(Pe)){this.isEmpty()&&Pe.append(document.createElement("br"));const We=this.getFormatType();Pe.style.textAlign=We;const nt=this.getDirection();nt&&(Pe.dir=nt);const it=this.getIndent();it>0&&(Pe.style.textIndent=`${it*20}px`)}return{element:Pe}}static importJSON($e){const Pe=Sl();return Pe.setFormat($e.format),Pe.setIndent($e.indent),Pe.setDirection($e.direction),Pe}exportJSON(){return{...super.exportJSON(),type:"paragraph",version:1}}insertNewAfter($e,Pe){const We=Sl(),nt=this.getDirection();return We.setDirection(nt),this.insertAfter(We,Pe),We}collapseAtStart(){const $e=this.getChildren();if($e.length===0||Rn($e[0])&&$e[0].getTextContent().trim()===""){if(this.getNextSibling()!==null)return this.selectNext(),this.remove(),!0;if(this.getPreviousSibling()!==null)return this.selectPrevious(),this.remove(),!0}return!1}}function Ts(ze){const $e=Sl();if(ze.style){$e.setFormat(ze.style.textAlign);const Pe=parseInt(ze.style.textIndent,10)/20;Pe>0&&$e.setIndent(Pe)}return{node:$e}}function Sl(){return Gl(new na)}function uf(ze){return ze instanceof na}const Id=0,Lf=1,cf=2,Pf=3,df=4;function Kd(ze,$e,Pe,We){const nt=ze._keyToDOMMap;nt.clear(),ze._editorState=Bl(),ze._pendingEditorState=We,ze._compositionKey=null,ze._dirtyType=pn,ze._cloneNotNeeded.clear(),ze._dirtyLeaves=new Set,ze._dirtyElements.clear(),ze._normalizedNodes=new Set,ze._updateTags=new Set,ze._updates=[],ze._blockCursorElement=null;const it=ze._observer;it!==null&&(it.disconnect(),ze._observer=null),$e!==null&&($e.textContent=""),Pe!==null&&(Pe.textContent="",nt.set("root",Pe))}function vc(ze,$e){const Pe=new Map,We=new Set,nt=it=>{Object.keys(it).forEach(mt=>{let xt=Pe.get(mt);xt===void 0&&(xt=[],Pe.set(mt,xt)),xt.push(it[mt])})};return ze.forEach(it=>{const mt=it.klass.importDOM!=null?it.klass.importDOM.bind(it.klass):null;if(mt==null||We.has(mt))return;We.add(mt);const xt=mt();xt!==null&&nt(xt)}),$e&&nt($e),Pe}function vp(ze){const $e=ze||{},Pe=af(),We=$e.theme||{},nt=ze===void 0?Pe:$e.parentEditor||null,it=$e.disableEvents||!1,mt=Bl(),xt=$e.namespace||(nt!==null?nt._config.namespace:da()),qt=$e.editorState,Jt=[Pa,xs,nc,Va,na,...$e.nodes||[]],{onError:rr,html:ur}=$e,cr=$e.editable!==void 0?$e.editable:!0;let ir;if(ze===void 0&&Pe!==null)ir=Pe._nodes;else{ir=new Map;for(let Zr=0;Zr<Jt.length;Zr++){let Br=Jt[Zr],Hn=null,en=null;if(typeof Br!="function"){const mo=Br;Br=mo.replace,Hn=mo.with,en=mo.withKlass||null}{const mo=Br.name;if(mo!=="RootNode"){const ki=Br.prototype;["getType","clone"].forEach(Cs=>{Br.hasOwnProperty(Cs)||console.warn(`${mo} must implement static "${Cs}" method`)}),!Br.hasOwnProperty("importDOM")&&Br.hasOwnProperty("exportDOM")&&console.warn(`${mo} should implement "importDOM" if using a custom "exportDOM" method to 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mc{constructor($e,Pe,We,nt,it,mt,xt){this._parentEditor=Pe,this._rootElement=null,this._editorState=$e,this._pendingEditorState=null,this._compositionKey=null,this._deferred=[],this._keyToDOMMap=new Map,this._updates=[],this._updating=!1,this._listeners={decorator:new Set,editable:new Set,mutation:new Map,root:new Set,textcontent:new Set,update:new Set},this._commands=new Map,this._config=nt,this._nodes=We,this._decorators={},this._pendingDecorators=null,this._dirtyType=pn,this._cloneNotNeeded=new Set,this._dirtyLeaves=new Set,this._dirtyElements=new Map,this._normalizedNodes=new Set,this._updateTags=new Set,this._observer=null,this._key=da(),this._onError=it,this._htmlConversions=mt,this._editable=xt,this._headless=Pe!==null&&Pe._headless,this._window=null,this._blockCursorElement=null}isComposing(){return this._compositionKey!=null}registerUpdateListener($e){const Pe=this._listeners.update;return Pe.add($e),()=>{Pe.delete($e)}}registerEditableListener($e){const Pe=this._listeners.editable;return Pe.add($e),()=>{Pe.delete($e)}}registerDecoratorListener($e){const Pe=this._listeners.decorator;return Pe.add($e),()=>{Pe.delete($e)}}registerTextContentListener($e){const Pe=this._listeners.textcontent;return Pe.add($e),()=>{Pe.delete($e)}}registerRootListener($e){const Pe=this._listeners.root;return $e(this._rootElement,null),Pe.add($e),()=>{$e(null,this._rootElement),Pe.delete($e)}}registerCommand($e,Pe,We){if(We===void 0)throw Error('Listener for type "command" requires a "priority".');const nt=this._commands;nt.has($e)||nt.set($e,[new Set,new Set,new Set,new Set,new Set]);const it=nt.get($e);if(it===void 0)throw Error(`registerCommand: Command ${String($e)} not found in command map`);const mt=it[We];return mt.add(Pe),()=>{mt.delete(Pe),it.every(xt=>xt.size===0)&&nt.delete($e)}}registerMutationListener($e,Pe){if(this._nodes.get($e.getType())===void 0)throw Error(`Node ${$e.name} has not been registered. 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this._editable}setEditable($e){this._editable!==$e&&(this._editable=$e,dd("editable",this,!0,$e))}toJSON(){return{editorState:this._editorState.toJSON()}}}return Lexical_dev.$addUpdateTag=Jn,Lexical_dev.$applyNodeReplacement=Gl,Lexical_dev.$copyNode=Mc,Lexical_dev.$createLineBreakNode=bs,Lexical_dev.$createNodeSelection=ud,Lexical_dev.$createParagraphNode=Sl,Lexical_dev.$createPoint=Hi,Lexical_dev.$createRangeSelection=Fc,Lexical_dev.$createTabNode=sa,Lexical_dev.$createTextNode=Xo,Lexical_dev.$getAdjacentNode=lc,Lexical_dev.$getCharacterOffsets=Iu,Lexical_dev.$getEditor=Rf,Lexical_dev.$getNearestNodeFromDOMNode=Ms,Lexical_dev.$getNearestRootOrShadowRoot=ls,Lexical_dev.$getNodeByKey=ma,Lexical_dev.$getPreviousSelection=cs,Lexical_dev.$getRoot=qn,Lexical_dev.$getSelection=pa,Lexical_dev.$getTextContent=Vp,Lexical_dev.$hasAncestor=Dc,Lexical_dev.$hasUpdateTag=ys,Lexical_dev.$insertNodes=$d,Lexical_dev.$isBlockElementNode=lu,Lexical_dev.$isDecoratorNode=Ta,Lexical_dev.$isElementNode=qr,Lexical_dev.$isInlineElementOrDecoratorNode=Oi,Lexical_dev.$isLeafNode=as,Lexical_dev.$isLineBreakNode=li,Lexical_dev.$isNodeSelection=la,Lexical_dev.$isParagraphNode=uf,Lexical_dev.$isRangeSelection=ho,Lexical_dev.$isRootNode=Gi,Lexical_dev.$isRootOrShadowRoot=eu,Lexical_dev.$isTabNode=Ea,Lexical_dev.$isTextNode=Rn,Lexical_dev.$nodesOfType=Wu,Lexical_dev.$normalizeSelection__EXPERIMENTAL=so,Lexical_dev.$parseSerializedNode=qp,Lexical_dev.$selectAll=wf,Lexical_dev.$setCompositionKey=Qn,Lexical_dev.$setSelection=yi,Lexical_dev.$splitNode=up,Lexical_dev.BLUR_COMMAND=Vt,Lexical_dev.CAN_REDO_COMMAND=Lt,Lexical_dev.CAN_UNDO_COMMAND=Gt,Lexical_dev.CLEAR_EDITOR_COMMAND=Ct,Lexical_dev.CLEAR_HISTORY_COMMAND=$t,Lexical_dev.CLICK_COMMAND=O,Lexical_dev.COMMAND_PRIORITY_CRITICAL=df,Lexical_dev.COMMAND_PRIORITY_EDITOR=Id,Lexical_dev.COMMAND_PRIORITY_HIGH=Pf,Lexical_dev.COMMAND_PRIORITY_LOW=Lf,Lexical_dev.COMMAND_PRIORITY_NORMAL=cf,Lexical_dev.CONTROLLED_TEXT_INSERTION_COMMAND=B,Lexical_dev.COPY_COMMAND=Qe,Lexical_dev.CUT_COMMAND=lt,Lexical_dev.DELETE_CHARACTER_COMMAND=I,Lexical_dev.DELETE_LINE_COMMAND=K,Lexical_dev.DELETE_WORD_COMMAND=V,Lexical_dev.DRAGEND_COMMAND=gt,Lexical_dev.DRAGOVER_COMMAND=dt,Lexical_dev.DRAGSTART_COMMAND=et,Lexical_dev.DROP_COMMAND=tt,Lexical_dev.DecoratorNode=ni,Lexical_dev.ElementNode=La,Lexical_dev.FOCUS_COMMAND=Pt,Lexical_dev.FORMAT_ELEMENT_COMMAND=Ue,Lexical_dev.FORMAT_TEXT_COMMAND=W,Lexical_dev.INDENT_CONTENT_COMMAND=Xe,Lexical_dev.INSERT_LINE_BREAK_COMMAND=N,Lexical_dev.INSERT_PARAGRAPH_COMMAND=L,Lexical_dev.INSERT_TAB_COMMAND=Je,Lexical_dev.KEY_ARROW_DOWN_COMMAND=Te,Lexical_dev.KEY_ARROW_LEFT_COMMAND=xe,Lexical_dev.KEY_ARROW_RIGHT_COMMAND=pe,Lexical_dev.KEY_ARROW_UP_COMMAND=ge,Lexical_dev.KEY_BACKSPACE_COMMAND=Be,Lexical_dev.KEY_DELETE_COMMAND=je,Lexical_dev.KEY_DOWN_COMMAND=oe,Lexical_dev.KEY_ENTER_COMMAND=we,Lexical_dev.KEY_ESCAPE_COMMAND=Ie,Lexical_dev.KEY_MODIFIER_COMMAND=bt,Lexical_dev.KEY_SPACE_COMMAND=ke,Lexical_dev.KEY_TAB_COMMAND=Ke,Lexical_dev.LineBreakNode=nc,Lexical_dev.MOVE_TO_END=me,Lexical_dev.MOVE_TO_START=Ae,Lexical_dev.OUTDENT_CONTENT_COMMAND=ot,Lexical_dev.PASTE_COMMAND=j,Lexical_dev.ParagraphNode=na,Lexical_dev.REDO_COMMAND=J,Lexical_dev.REMOVE_TEXT_COMMAND=F,Lexical_dev.RootNode=Pa,Lexical_dev.SELECTION_CHANGE_COMMAND=C,Lexical_dev.SELECTION_INSERT_CLIPBOARD_NODES_COMMAND=R,Lexical_dev.SELECT_ALL_COMMAND=ht,Lexical_dev.TabNode=Va,Lexical_dev.TextNode=xs,Lexical_dev.UNDO_COMMAND=X,Lexical_dev.createCommand=S,Lexical_dev.createEditor=vp,Lexical_dev.getNearestEditorFromDOMNode=fi,Lexical_dev.isCurrentlyReadOnlyMode=cd,Lexical_dev.isHTMLAnchorElement=Td,Lexical_dev.isHTMLElement=ad,Lexical_dev.isSelectionCapturedInDecoratorInput=Is,Lexical_dev.isSelectionWithinEditor=ea,Lexical_dev}var define_process_env_default$b={};const Lexical=define_process_env_default$b.NODE_ENV==="development"?requireLexical_dev():requireLexical_prod();var Lexical_1=Lexical,hasRequiredLexicalSelection_prod;function requireLexicalSelection_prod(){if(hasRequiredLexicalSelection_prod)return LexicalSelection_prod;hasRequiredLexicalSelection_prod=1;var S=Lexical_1;let C=new Map;function R(X){for(;X!=null;){if(X.nodeType===Node.TEXT_NODE)return X;X=X.firstChild}return null}function O(X){let J=X.parentNode;if(J==null)throw Error("Should never happen");return[J,Array.from(J.childNodes).indexOf(X)]}function I(X){let J={};X=X.split(";");for(let oe of X)if(oe!==""){let[pe,me]=oe.split(/:([^]+)/);pe&&me&&(J[pe.trim()]=me.trim())}return J}function N(X){let J=C.get(X);return J===void 0&&(J=I(X),C.set(X,J)),J}function L(X){let J="";for(let oe in X)oe&&(J+=`${oe}: ${X[oe]};`);return J}function B(X,J){let oe=N("getStyle"in X?X.getStyle():X.style);J=Object.entries(J).reduce((me,[xe,Ae])=>(Ae instanceof Function?me[xe]=Ae(oe[xe]):Ae===null?delete me[xe]:me[xe]=Ae,me),{...oe});let pe=L(J);X.setStyle(pe),C.set(pe,J)}function j(X){for(;X!==null&&!S.$isRootOrShadowRoot(X);){let J=X.getLatest(),oe=X.getParent();J.getChildrenSize()===0&&X.remove(!0),X=oe}}function F(X,J,oe,pe,me=null){if(J.length!==0){var xe=J[0],Ae=new Map,ge=[];xe=S.$isElementNode(xe)?xe:xe.getParentOrThrow(),xe.isInline()&&(xe=xe.getParentOrThrow());for(var Te=!1;xe!==null;){var we=xe.getPreviousSibling();if(we!==null){xe=we,Te=!0;break}if(xe=xe.getParentOrThrow(),S.$isRootOrShadowRoot(xe))break}we=new Set;for(var ke=0;ke<oe;ke++){var Be=J[ke];S.$isElementNode(Be)&&Be.getChildrenSize()===0&&we.add(Be.getKey())}var Ie=new Set;for(ke=0;ke<oe;ke++){Be=J[ke];var je=Be.getParent();if(je!==null&&je.isInline()&&(je=je.getParent()),je!==null&&S.$isLeafNode(Be)&&!Ie.has(Be.getKey())){if(Be=je.getKey(),Ae.get(Be)===void 0){let Ke=pe();Ke.setFormat(je.getFormatType()),Ke.setIndent(je.getIndent()),ge.push(Ke),Ae.set(Be,Ke),je.getChildren().forEach(Je=>{Ke.append(Je),Ie.add(Je.getKey()),S.$isElementNode(Je)&&Je.getChildrenKeys().forEach(Xe=>Ie.add(Xe))}),j(je)}}else if(we.has(Be.getKey())){if(!S.$isElementNode(Be))throw Error("Expected node in emptyElements to be an ElementNode");je=pe(),je.setFormat(Be.getFormatType()),je.setIndent(Be.getIndent()),ge.push(je),Be.remove(!0)}}if(me!==null)for(J=0;J<ge.length;J++)me.append(ge[J]);if(J=null,S.$isRootOrShadowRoot(xe))if(Te)if(me!==null)xe.insertAfter(me);else for(me=ge.length-1;0<=me;me--)xe.insertAfter(ge[me]);else if(Te=xe.getFirstChild(),S.$isElementNode(Te)&&(xe=Te),Te===null)if(me)xe.append(me);else for(me=0;me<ge.length;me++)Te=ge[me],xe.append(Te),J=Te;else if(me!==null)Te.insertBefore(me);else for(xe=0;xe<ge.length;xe++)me=ge[xe],Te.insertBefore(me),J=me;else if(me)xe.insertAfter(me);else for(me=ge.length-1;0<=me;me--)Te=ge[me],xe.insertAfter(Te),J=Te;ge=S.$getPreviousSelection(),S.$isRangeSelection(ge)&&ge.anchor.getNode().isAttached()&&ge.focus.getNode().isAttached()?S.$setSelection(ge.clone()):J!==null?J.selectEnd():X.dirty=!0}}function V(X,J,oe,pe){X.modify(J?"extend":"move",oe,pe)}function K(X){return X=X.anchor.getNode(),(S.$isRootNode(X)?X:X.getParentOrThrow()).getDirection()==="rtl"}function W(X){if(S.$isDecoratorNode(X)||!S.$isElementNode(X)||S.$isRootOrShadowRoot(X))return!1;var J=X.getFirstChild();return J=J===null||S.$isLineBreakNode(J)||S.$isTextNode(J)||J.isInline(),!X.isInline()&&X.canBeEmpty()!==!1&&J}return LexicalSelection_prod.$addNodeStyle=function(X){X=X.getStyle();let J=I(X);C.set(X,J)},LexicalSelection_prod.$cloneWithProperties=function(X){let J=X.constructor.clone(X);return J.__parent=X.__parent,J.__next=X.__next,J.__prev=X.__prev,S.$isElementNode(X)&&S.$isElementNode(J)?(J.__first=X.__first,J.__last=X.__last,J.__size=X.__size,J.__format=X.__format,J.__indent=X.__indent,J.__dir=X.__dir,J):(S.$isTextNode(X)&&S.$isTextNode(J)&&(J.__format=X.__format,J.__style=X.__style,J.__mode=X.__mode,J.__detail=X.__detail),J)},LexicalSelection_prod.$getSelectionStyleValueForProperty=function(X,J,oe=""){let pe=null,me=X.getNodes();var xe=X.anchor,Ae=X.focus,ge=X.isBackward();let Te=ge?Ae.offset:xe.offset;if(xe=ge?Ae.getNode():xe.getNode(),X.isCollapsed()&&X.style!==""&&(X=N(X.style),X!==null&&J in X))return X[J];for(X=0;X<me.length;X++){var we=me[X];if((X===0||Te!==0||!we.is(xe))&&S.$isTextNode(we)){if(Ae=J,ge=oe,we=we.getStyle(),we=N(we),Ae=we!==null&&we[Ae]||ge,pe===null)pe=Ae;else if(pe!==Ae){pe="";break}}}return pe===null?oe:pe},LexicalSelection_prod.$isAtNodeEnd=function(X){if(X.type==="text")return X.offset===X.getNode().getTextContentSize();let J=X.getNode();if(!S.$isElementNode(J))throw Error("isAtNodeEnd: node must be a TextNode or ElementNode");return X.offset===J.getChildrenSize()},LexicalSelection_prod.$isParentElementRTL=K,LexicalSelection_prod.$moveCaretSelection=V,LexicalSelection_prod.$moveCharacter=function(X,J,oe){let pe=K(X);V(X,J,oe?!pe:pe,"character")},LexicalSelection_prod.$patchStyleText=function(X,J){var oe=X.getNodes(),pe=oe.length,me=X.getStartEndPoints();if(me!==null){var[xe,Ae]=me;--pe,me=oe[0];var ge=oe[pe];if(X.isCollapsed()&&S.$isRangeSelection(X))B(X,J);else{var Te=me.getTextContent().length,we=Ae.offset,ke=xe.offset,Be=xe.isBefore(Ae),Ie=Be?ke:we;X=Be?we:ke;var je=Be?xe.type:Ae.type,Ke=Be?Ae.type:xe.type;if(Be=Be?Ae.key:xe.key,S.$isTextNode(me)&&Ie===Te){let Je=me.getNextSibling();S.$isTextNode(Je)&&(Ie=ke=0,me=Je)}if(oe.length===1)S.$isTextNode(me)&&me.canHaveFormat()&&(Ie=je==="element"?0:ke>we?we:ke,X=Ke==="element"?Te:ke>we?ke:we,Ie!==X&&(Ie===0&&X===Te?(B(me,J),me.select(Ie,X)):(oe=me.splitText(Ie,X),oe=Ie===0?oe[0]:oe[1],B(oe,J),oe.select(0,X-Ie))));else for(S.$isTextNode(me)&&Ie<me.getTextContentSize()&&me.canHaveFormat()&&(Ie!==0&&(me=me.splitText(Ie)[1],Ie=0,xe.set(me.getKey(),Ie,"text")),B(me,J)),S.$isTextNode(ge)&&ge.canHaveFormat()&&(Ie=ge.getTextContent().length,ge.__key!==Be&&X!==0&&(X=Ie),X!==Ie&&([ge]=ge.splitText(X)),X===0&&Ke!=="element"||B(ge,J)),X=1;X<pe;X++)Ie=oe[X],Ke=Ie.getKey(),S.$isTextNode(Ie)&&Ie.canHaveFormat()&&Ke!==me.getKey()&&Ke!==ge.getKey()&&!Ie.isToken()&&B(Ie,J)}}},LexicalSelection_prod.$selectAll=function(X){let J=X.anchor;X=X.focus;var oe=J.getNode().getTopLevelElementOrThrow().getParentOrThrow();let pe=oe.getFirstDescendant();oe=oe.getLastDescendant();let me="element",xe="element",Ae=0;S.$isTextNode(pe)?me="text":S.$isElementNode(pe)||pe===null||(pe=pe.getParentOrThrow()),S.$isTextNode(oe)?(xe="text",Ae=oe.getTextContentSize()):S.$isElementNode(oe)||oe===null||(oe=oe.getParentOrThrow()),pe&&oe&&(J.set(pe.getKey(),0,me),X.set(oe.getKey(),Ae,xe))},LexicalSelection_prod.$setBlocksType=function(X,J){if(X!==null){var oe=X.getStartEndPoints();if(oe=oe?oe[0]:null,oe!==null&&oe.key==="root")J=J(),X=S.$getRoot(),(oe=X.getFirstChild())?oe.replace(J,!0):X.append(J);else{if(X=X.getNodes(),oe!==null){for(oe=oe.getNode();oe!==null&&oe.getParent()!==null&&!W(oe);)oe=oe.getParentOrThrow();oe=W(oe)?oe:null}else oe=!1;for(oe&&X.indexOf(oe)===-1&&X.push(oe),oe=0;oe<X.length;oe++){let pe=X[oe];if(!W(pe))continue;if(!S.$isElementNode(pe))throw Error("Expected block node to be an ElementNode");let me=J();me.setFormat(pe.getFormatType()),me.setIndent(pe.getIndent()),pe.replace(me,!0)}}}},LexicalSelection_prod.$shouldOverrideDefaultCharacterSelection=function(X,J){return X=S.$getAdjacentNode(X.focus,J),S.$isDecoratorNode(X)&&!X.isIsolated()||S.$isElementNode(X)&&!X.isInline()&&!X.canBeEmpty()},LexicalSelection_prod.$sliceSelectedTextNodeContent=function(X,J){var oe=X.getStartEndPoints();if(J.isSelected(X)&&!J.isSegmented()&&!J.isToken()&&oe!==null){let[ge,Te]=oe;oe=X.isBackward();var pe=ge.getNode(),me=Te.getNode(),xe=J.is(pe),Ae=J.is(me);if(xe||Ae){let[we,ke]=S.$getCharacterOffsets(X);X=pe.is(me),xe=J.is(oe?me:pe),me=J.is(oe?pe:me),pe=0,Ae=void 0,X?(pe=we>ke?ke:we,Ae=we>ke?we:ke):xe?(pe=oe?ke:we,Ae=void 0):me&&(oe=oe?we:ke,pe=0,Ae=oe),J.__text=J.__text.slice(pe,Ae)}}return J},LexicalSelection_prod.$wrapNodes=function(X,J,oe=null){var pe=X.getStartEndPoints(),me=pe?pe[0]:null;pe=X.getNodes();let xe=pe.length;if(me!==null&&(xe===0||xe===1&&me.type==="element"&&me.getNode().getChildrenSize()===0)){X=me.type==="text"?me.getNode().getParentOrThrow():me.getNode(),pe=X.getChildren();let ge=J();ge.setFormat(X.getFormatType()),ge.setIndent(X.getIndent()),pe.forEach(Te=>ge.append(Te)),oe&&(ge=oe.append(ge)),X.replace(ge)}else{me=null;var Ae=[];for(let ge=0;ge<xe;ge++){let Te=pe[ge];S.$isRootOrShadowRoot(Te)?(F(X,Ae,Ae.length,J,oe),Ae=[],me=Te):me===null||me!==null&&S.$hasAncestor(Te,me)?Ae.push(Te):(F(X,Ae,Ae.length,J,oe),Ae=[Te])}F(X,Ae,Ae.length,J,oe)}},LexicalSelection_prod.createDOMRange=function(X,J,oe,pe,me){let xe=J.getKey(),Ae=pe.getKey(),ge=document.createRange(),Te=X.getElementByKey(xe);if(X=X.getElementByKey(Ae),S.$isTextNode(J)&&(Te=R(Te)),S.$isTextNode(pe)&&(X=R(X)),J===void 0||pe===void 0||Te===null||X===null)return null;Te.nodeName==="BR"&&([Te,oe]=O(Te)),X.nodeName==="BR"&&([X,me]=O(X)),J=Te.firstChild,Te===X&&J!=null&&J.nodeName==="BR"&&oe===0&&me===0&&(me=1);try{ge.setStart(Te,oe),ge.setEnd(X,me)}catch{return null}return!ge.collapsed||oe===me&&xe===Ae||(ge.setStart(X,me),ge.setEnd(Te,oe)),ge},LexicalSelection_prod.createRectsFromDOMRange=function(X,J){var oe=X.getRootElement();if(oe===null)return[];X=oe.getBoundingClientRect(),oe=getComputedStyle(oe),oe=parseFloat(oe.paddingLeft)+parseFloat(oe.paddingRight),J=Array.from(J.getClientRects());let pe=J.length;J.sort((xe,Ae)=>{let ge=xe.top-Ae.top;return 3>=Math.abs(ge)?xe.left-Ae.left:ge});let me;for(let xe=0;xe<pe;xe++){let Ae=J[xe],ge=Ae.width+oe===X.width;me&&me.top<=Ae.top&&me.top+me.height>Ae.top&&me.left+me.width>Ae.left||ge?(J.splice(xe--,1),pe--):me=Ae}return J},LexicalSelection_prod.getStyleObjectFromCSS=N,LexicalSelection_prod.trimTextContentFromAnchor=function(X,J,oe){let pe=J.getNode();if(S.$isElementNode(pe)){var me=pe.getDescendantByIndex(J.offset);me!==null&&(pe=me)}for(;0<oe&&pe!==null;){S.$isElementNode(pe)&&(me=pe.getLastDescendant(),me!==null&&(pe=me));var xe=pe.getPreviousSibling(),Ae=0;if(xe===null){me=pe.getParentOrThrow();for(var ge=me.getPreviousSibling();ge===null;){if(me=me.getParent(),me===null){xe=null;break}ge=me.getPreviousSibling()}me!==null&&(Ae=me.isInline()?0:2,xe=ge)}if(ge=pe.getTextContent(),ge===""&&S.$isElementNode(pe)&&!pe.isInline()&&(ge=`
-
-`),me=ge.length,!S.$isTextNode(pe)||oe>=me)ge=pe.getParent(),pe.remove(),ge==null||ge.getChildrenSize()!==0||S.$isRootNode(ge)||ge.remove(),oe-=me+Ae,pe=xe;else{let Te=pe.getKey();Ae=X.getEditorState().read(()=>{const ke=S.$getNodeByKey(Te);return S.$isTextNode(ke)&&ke.isSimpleText()?ke.getTextContent():null}),xe=me-oe;let we=ge.slice(0,xe);Ae!==null&&Ae!==ge?(oe=S.$getPreviousSelection(),me=pe,pe.isSimpleText()?pe.setTextContent(Ae):(me=S.$createTextNode(Ae),pe.replace(me)),S.$isRangeSelection(oe)&&oe.isCollapsed()&&(oe=oe.anchor.offset,me.select(oe,oe))):pe.isSimpleText()?(Ae=J.key===Te,ge=J.offset,ge<oe&&(ge=me),oe=Ae?ge-oe:0,me=Ae?ge:xe,Ae&&oe===0?([oe]=pe.splitText(oe,me),oe.remove()):([,oe]=pe.splitText(oe,me),oe.remove())):(oe=S.$createTextNode(we),pe.replace(oe)),oe=0}}},LexicalSelection_prod}var LexicalSelection_dev={},hasRequiredLexicalSelection_dev;function requireLexicalSelection_dev(){if(hasRequiredLexicalSelection_dev)return LexicalSelection_dev;hasRequiredLexicalSelection_dev=1;var S=Lexical_1;const C=new Map;function R(Ue){let et=Ue;for(;et!=null;){if(et.nodeType===Node.TEXT_NODE)return et;et=et.firstChild}return null}function O(Ue){const et=Ue.parentNode;if(et==null)throw new Error("Should never happen");return[et,Array.from(et.childNodes).indexOf(Ue)]}function I(Ue,et,dt,gt,Qe){const lt=et.getKey(),ht=gt.getKey(),Ct=document.createRange();let $t=Ue.getElementByKey(lt),Lt=Ue.getElementByKey(ht),Gt=dt,Pt=Qe;if(S.$isTextNode(et)&&($t=R($t)),S.$isTextNode(gt)&&(Lt=R(Lt)),et===void 0||gt===void 0||$t===null||Lt===null)return null;$t.nodeName==="BR"&&([$t,Gt]=O($t)),Lt.nodeName==="BR"&&([Lt,Pt]=O(Lt));const Vt=$t.firstChild;$t===Lt&&Vt!=null&&Vt.nodeName==="BR"&&Gt===0&&Pt===0&&(Pt=1);try{Ct.setStart($t,Gt),Ct.setEnd(Lt,Pt)}catch{return null}return Ct.collapsed&&(Gt!==Pt||lt!==ht)&&(Ct.setStart(Lt,Pt),Ct.setEnd($t,Gt)),Ct}function N(Ue,et){const dt=Ue.getRootElement();if(dt===null)return[];const gt=dt.getBoundingClientRect(),Qe=getComputedStyle(dt),lt=parseFloat(Qe.paddingLeft)+parseFloat(Qe.paddingRight),ht=Array.from(et.getClientRects());let Ct=ht.length;ht.sort((Lt,Gt)=>{const Pt=Lt.top-Gt.top;return Math.abs(Pt)<=3?Lt.left-Gt.left:Pt});let $t;for(let Lt=0;Lt<Ct;Lt++){const Gt=ht[Lt],Pt=$t&&$t.top<=Gt.top&&$t.top+$t.height>Gt.top&&$t.left+$t.width>Gt.left,Vt=Gt.width+lt===gt.width;if(Pt||Vt){ht.splice(Lt--,1),Ct--;continue}$t=Gt}return ht}function L(Ue){const et={},dt=Ue.split(";");for(const gt of dt)if(gt!==""){const[Qe,lt]=gt.split(/:([^]+)/);Qe&&lt&&(et[Qe.trim()]=lt.trim())}return et}function B(Ue){let et=C.get(Ue);return et===void 0&&(et=L(Ue),C.set(Ue,et)),Object.freeze(et),et}function j(Ue){let et="";for(const dt in Ue)dt&&(et+=`${dt}: ${Ue[dt]};`);return et}function F(Ue,et){return Ue.__first=et.__first,Ue.__last=et.__last,Ue.__size=et.__size,Ue.__format=et.__format,Ue.__indent=et.__indent,Ue.__dir=et.__dir,Ue}function V(Ue,et){return Ue.__format=et.__format,Ue.__style=et.__style,Ue.__mode=et.__mode,Ue.__detail=et.__detail,Ue}function K(Ue){const dt=Ue.constructor.clone(Ue);return dt.__parent=Ue.__parent,dt.__next=Ue.__next,dt.__prev=Ue.__prev,S.$isElementNode(Ue)&&S.$isElementNode(dt)?F(dt,Ue):S.$isTextNode(Ue)&&S.$isTextNode(dt)?V(dt,Ue):dt}function W(Ue,et){const dt=Ue.getStartEndPoints();if(et.isSelected(Ue)&&!et.isSegmented()&&!et.isToken()&&dt!==null){const[gt,Qe]=dt,lt=Ue.isBackward(),ht=gt.getNode(),Ct=Qe.getNode(),$t=et.is(ht),Lt=et.is(Ct);if($t||Lt){const[Gt,Pt]=S.$getCharacterOffsets(Ue),Vt=ht.is(Ct),bt=et.is(lt?Ct:ht),It=et.is(lt?ht:Ct);let Ht=0,kt;if(Vt)Ht=Gt>Pt?Pt:Gt,kt=Gt>Pt?Gt:Pt;else if(bt)Ht=lt?Pt:Gt,kt=void 0;else if(It){const Kt=lt?Gt:Pt;Ht=0,kt=Kt}return et.__text=et.__text.slice(Ht,kt),et}}return et}function X(Ue){if(Ue.type==="text")return Ue.offset===Ue.getNode().getTextContentSize();const et=Ue.getNode();if(!S.$isElementNode(et))throw Error("isAtNodeEnd: node must be a TextNode or ElementNode");return Ue.offset===et.getChildrenSize()}function J(Ue,et,dt){let gt=et.getNode(),Qe=dt;if(S.$isElementNode(gt)){const lt=gt.getDescendantByIndex(et.offset);lt!==null&&(gt=lt)}for(;Qe>0&&gt!==null;){if(S.$isElementNode(gt)){const Lt=gt.getLastDescendant();Lt!==null&&(gt=Lt)}let lt=gt.getPreviousSibling(),ht=0;if(lt===null){let Lt=gt.getParentOrThrow(),Gt=Lt.getPreviousSibling();for(;Gt===null;){if(Lt=Lt.getParent(),Lt===null){lt=null;break}Gt=Lt.getPreviousSibling()}Lt!==null&&(ht=Lt.isInline()?0:2,lt=Gt)}let Ct=gt.getTextContent();Ct===""&&S.$isElementNode(gt)&&!gt.isInline()&&(Ct=`
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Ue?Ue.getStyle():Ue.style),gt=Object.entries(et).reduce((lt,[ht,Ct])=>(Ct instanceof Function?lt[ht]=Ct(dt[ht]):Ct===null?delete lt[ht]:lt[ht]=Ct,lt),{...dt}),Qe=j(gt);Ue.setStyle(Qe),C.set(Qe,gt)}function me(Ue,et){const dt=Ue.getNodes(),gt=dt.length,Qe=Ue.getStartEndPoints();if(Qe===null)return;const[lt,ht]=Qe,Ct=gt-1;let $t=dt[0],Lt=dt[Ct];if(Ue.isCollapsed()&&S.$isRangeSelection(Ue)){pe(Ue,et);return}const Pt=$t.getTextContent().length,Vt=ht.offset;let bt=lt.offset;const It=lt.isBefore(ht);let Ht=It?bt:Vt,kt=It?Vt:bt;const Kt=It?lt.type:ht.type,tr=It?ht.type:lt.type,wr=It?ht.key:lt.key;if(S.$isTextNode($t)&&Ht===Pt){const xr=$t.getNextSibling();S.$isTextNode(xr)&&(bt=0,Ht=0,$t=xr)}if(dt.length===1){if(S.$isTextNode($t)&&$t.canHaveFormat()){if(Ht=Kt==="element"?0:bt>Vt?Vt:bt,kt=tr==="element"?Pt:bt>Vt?bt:Vt,Ht===kt)return;if(Ht===0&&kt===Pt)pe($t,et),$t.select(Ht,kt);else{const 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Gt=lt[Lt];S.$isRootOrShadowRoot(Gt)?(we(Ue,$t,$t.length,et,dt),$t=[],Ct=Gt):Ct===null||Ct!==null&&S.$hasAncestor(Gt,Ct)?$t.push(Gt):(we(Ue,$t,$t.length,et,dt),$t=[Gt])}we(Ue,$t,$t.length,et,dt)}function we(Ue,et,dt,gt,Qe=null){if(et.length===0)return;const lt=et[0],ht=new Map,Ct=[];let $t=S.$isElementNode(lt)?lt:lt.getParentOrThrow();$t.isInline()&&($t=$t.getParentOrThrow());let Lt=!1;for(;$t!==null;){const It=$t.getPreviousSibling();if(It!==null){$t=It,Lt=!0;break}if($t=$t.getParentOrThrow(),S.$isRootOrShadowRoot($t))break}const Gt=new Set;for(let It=0;It<dt;It++){const Ht=et[It];S.$isElementNode(Ht)&&Ht.getChildrenSize()===0&&Gt.add(Ht.getKey())}const Pt=new Set;for(let It=0;It<dt;It++){const Ht=et[It];let kt=Ht.getParent();if(kt!==null&&kt.isInline()&&(kt=kt.getParent()),kt!==null&&S.$isLeafNode(Ht)&&!Pt.has(Ht.getKey())){const Kt=kt.getKey();if(ht.get(Kt)===void 0){const tr=gt();tr.setFormat(kt.getFormatType()),tr.setIndent(kt.getIndent()),Ct.push(tr),ht.set(Kt,tr),kt.getChildren().forEach(wr=>{tr.append(wr),Pt.add(wr.getKey()),S.$isElementNode(wr)&&wr.getChildrenKeys().forEach(xr=>Pt.add(xr))}),ge(kt)}}else if(Gt.has(Ht.getKey())){if(!S.$isElementNode(Ht))throw Error("Expected node in emptyElements to be an ElementNode");const Kt=gt();Kt.setFormat(Ht.getFormatType()),Kt.setIndent(Ht.getIndent()),Ct.push(Kt),Ht.remove(!0)}}if(Qe!==null)for(let It=0;It<Ct.length;It++){const Ht=Ct[It];Qe.append(Ht)}let Vt=null;if(S.$isRootOrShadowRoot($t))if(Lt)if(Qe!==null)$t.insertAfter(Qe);else for(let It=Ct.length-1;It>=0;It--){const Ht=Ct[It];$t.insertAfter(Ht)}else{const It=$t.getFirstChild();if(S.$isElementNode(It)&&($t=It),It===null)if(Qe)$t.append(Qe);else for(let Ht=0;Ht<Ct.length;Ht++){const kt=Ct[Ht];$t.append(kt),Vt=kt}else if(Qe!==null)It.insertBefore(Qe);else for(let Ht=0;Ht<Ct.length;Ht++){const kt=Ct[Ht];It.insertBefore(kt),Vt=kt}}else if(Qe)$t.insertAfter(Qe);else for(let It=Ct.length-1;It>=0;It--){const Ht=Ct[It];$t.insertAfter(Ht),Vt=Ht}const bt=S.$getPreviousSelection();S.$isRangeSelection(bt)&&Ae(bt.anchor)&&Ae(bt.focus)?S.$setSelection(bt.clone()):Vt!==null?Vt.selectEnd():Ue.dirty=!0}function ke(Ue,et){const dt=S.$getAdjacentNode(Ue.focus,et);return S.$isDecoratorNode(dt)&&!dt.isIsolated()||S.$isElementNode(dt)&&!dt.isInline()&&!dt.canBeEmpty()}function Be(Ue,et,dt,gt){Ue.modify(et?"extend":"move",dt,gt)}function Ie(Ue){const et=Ue.anchor.getNode();return(S.$isRootNode(et)?et:et.getParentOrThrow()).getDirection()==="rtl"}function je(Ue,et,dt){const gt=Ie(Ue);Be(Ue,et,dt?!gt:gt,"character")}function Ke(Ue){const et=Ue.anchor,dt=Ue.focus,lt=et.getNode().getTopLevelElementOrThrow().getParentOrThrow();let ht=lt.getFirstDescendant(),Ct=lt.getLastDescendant(),$t="element",Lt="element",Gt=0;S.$isTextNode(ht)?$t="text":!S.$isElementNode(ht)&&ht!==null&&(ht=ht.getParentOrThrow()),S.$isTextNode(Ct)?(Lt="text",Gt=Ct.getTextContentSize()):!S.$isElementNode(Ct)&&Ct!==null&&(Ct=Ct.getParentOrThrow()),ht&&Ct&&(et.set(ht.getKey(),0,$t),dt.set(Ct.getKey(),Gt,Lt))}function Je(Ue,et,dt){const gt=Ue.getStyle(),Qe=B(gt);return Qe!==null&&Qe[et]||dt}function Xe(Ue,et,dt=""){let gt=null;const Qe=Ue.getNodes(),lt=Ue.anchor,ht=Ue.focus,Ct=Ue.isBackward(),$t=Ct?ht.offset:lt.offset,Lt=Ct?ht.getNode():lt.getNode();if(Ue.isCollapsed()&&Ue.style!==""){const Gt=Ue.style,Pt=B(Gt);if(Pt!==null&&et in Pt)return Pt[et]}for(let Gt=0;Gt<Qe.length;Gt++){const Pt=Qe[Gt];if(!(Gt!==0&&$t===0&&Pt.is(Lt))&&S.$isTextNode(Pt)){const Vt=Je(Pt,et,dt);if(gt===null)gt=Vt;else if(gt!==Vt){gt="";break}}}return gt===null?dt:gt}function ot(Ue){if(S.$isDecoratorNode(Ue)||!S.$isElementNode(Ue)||S.$isRootOrShadowRoot(Ue))return!1;const et=Ue.getFirstChild(),dt=et===null||S.$isLineBreakNode(et)||S.$isTextNode(et)||et.isInline();return!Ue.isInline()&&Ue.canBeEmpty()!==!1&&dt}function tt(Ue,et){let dt=Ue;for(;dt!==null&&dt.getParent()!==null&&!et(dt);)dt=dt.getParentOrThrow();return et(dt)?dt:null}return LexicalSelection_dev.$addNodeStyle=oe,LexicalSelection_dev.$cloneWithProperties=K,LexicalSelection_dev.$getSelectionStyleValueForProperty=Xe,LexicalSelection_dev.$isAtNodeEnd=X,LexicalSelection_dev.$isParentElementRTL=Ie,LexicalSelection_dev.$moveCaretSelection=Be,LexicalSelection_dev.$moveCharacter=je,LexicalSelection_dev.$patchStyleText=me,LexicalSelection_dev.$selectAll=Ke,LexicalSelection_dev.$setBlocksType=xe,LexicalSelection_dev.$shouldOverrideDefaultCharacterSelection=ke,LexicalSelection_dev.$sliceSelectedTextNodeContent=W,LexicalSelection_dev.$wrapNodes=Te,LexicalSelection_dev.createDOMRange=I,LexicalSelection_dev.createRectsFromDOMRange=N,LexicalSelection_dev.getStyleObjectFromCSS=B,LexicalSelection_dev.trimTextContentFromAnchor=J,LexicalSelection_dev}var LexicalSelection_1,hasRequiredLexicalSelection;function requireLexicalSelection(){if(hasRequiredLexicalSelection)return LexicalSelection_1;hasRequiredLexicalSelection=1;var S={};return LexicalSelection_1=S.NODE_ENV==="development"?requireLexicalSelection_dev():requireLexicalSelection_prod(),LexicalSelection_1}var hasRequiredLexicalUtils_prod;function requireLexicalUtils_prod(){if(hasRequiredLexicalUtils_prod)return LexicalUtils_prod;hasRequiredLexicalUtils_prod=1;var S=requireLexicalSelection(),C=Lexical_1;function R(j){let F=new URLSearchParams;F.append("code",j);for(let V=1;V<arguments.length;V++)F.append("v",arguments[V]);throw Error(`Minified Lexical error #${j}; visit https://lexical.dev/docs/error?${F} for the full message or use the non-minified dev environment for full errors and additional helpful warnings.`)}function O(...j){return()=>{j.forEach(F=>F())}}let I={attributes:!0,characterData:!0,childList:!0,subtree:!0};function N(j,F,V){function K(){if(J===null)throw Error("Unexpected null rootDOMNode");if(oe===null)throw Error("Unexpected null parentDOMNode");let{left:ge,top:Te}=J.getBoundingClientRect();var we=oe;let ke=S.createRectsFromDOMRange(j,F);xe.isConnected||we.append(xe),we=!1;for(let je=0;je<ke.length;je++){var Be=ke[je];let Ke=me[je]||document.createElement("div"),Je=Ke.style;Je.position!=="absolute"&&(Je.position="absolute",we=!0);var Ie=`${Be.left-ge}px`;Je.left!==Ie&&(Je.left=Ie,we=!0),Ie=`${Be.top-Te}px`,Je.top!==Ie&&(Ke.style.top=Ie,we=!0),Ie=`${Be.width}px`,Je.width!==Ie&&(Ke.style.width=Ie,we=!0),Be=`${Be.height}px`,Je.height!==Be&&(Ke.style.height=Be,we=!0),Ke.parentNode!==xe&&(xe.append(Ke),we=!0),me[je]=Ke}for(;me.length>ke.length;)me.pop();we&&V(me)}function W(){J=oe=null,pe!==null&&pe.disconnect(),pe=null,xe.remove();for(let ge of me)ge.remove();me=[]}function X(){let ge=j.getRootElement();if(ge===null)return W();let Te=ge.parentElement;if(!(Te instanceof HTMLElement))return W();W(),J=ge,oe=Te,pe=new MutationObserver(we=>{let ke=j.getRootElement(),Be=ke&&ke.parentElement;if(ke!==J||Be!==oe)return X();for(let Ie of we)if(!xe.contains(Ie.target))return K()}),pe.observe(Te,I),K()}let J=null,oe=null,pe=null,me=[],xe=document.createElement("div"),Ae=j.registerRootListener(X);return()=>{Ae(),W()}}function L(j,F){for(let V of F)if(j.type.startsWith(V))return!0;return!1}let B=(j,F)=>{for(;j!==C.$getRoot()&&j!=null;){if(F(j))return j;j=j.getParent()}return null};return LexicalUtils_prod.$splitNode=C.$splitNode,LexicalUtils_prod.isHTMLAnchorElement=C.isHTMLAnchorElement,LexicalUtils_prod.isHTMLElement=C.isHTMLElement,LexicalUtils_prod.$dfs=function(j,F){let V=[];j=(j||C.$getRoot()).getLatest(),F=F||(C.$isElementNode(j)?j.getLastDescendant():j);for(var K=j,W=0;(K=K.getParent())!==null;)W++;for(K=W;j!==null&&!j.is(F);)if(V.push({depth:K,node:j}),C.$isElementNode(j)&&0<j.getChildrenSize())j=j.getFirstChild(),K++;else for(W=null;W===null&&j!==null;)W=j.getNextSibling(),W===null?(j=j.getParent(),K--):j=W;return j!==null&&j.is(F)&&V.push({depth:K,node:j}),V},LexicalUtils_prod.$filter=function(j,F){let V=[];for(let K=0;K<j.length;K++){let W=F(j[K]);W!==null&&V.push(W)}return V},LexicalUtils_prod.$findMatchingParent=B,LexicalUtils_prod.$getNearestBlockElementAncestorOrThrow=function(j){let F=B(j,V=>C.$isElementNode(V)&&!V.isInline());return C.$isElementNode(F)||R(4,j.__key),F},LexicalUtils_prod.$getNearestNodeOfType=function(j,F){for(;j!=null;){if(j instanceof F)return j;j=j.getParent()}return null},LexicalUtils_prod.$insertFirst=function(j,F){let V=j.getFirstChild();V!==null?V.insertBefore(F):j.append(F)},LexicalUtils_prod.$insertNodeToNearestRoot=function(j){var F=C.$getSelection()||C.$getPreviousSelection();if(C.$isRangeSelection(F)){var{focus:V}=F;if(F=V.getNode(),V=V.offset,C.$isRootOrShadowRoot(F))V=F.getChildAtIndex(V),V==null?F.append(j):V.insertBefore(j),j.selectNext();else{let K,W;C.$isTextNode(F)?(K=F.getParentOrThrow(),W=F.getIndexWithinParent(),0<V&&(W+=1,F.splitText(V))):(K=F,W=V),[,F]=C.$splitNode(K,W),F.insertBefore(j),F.selectStart()}}else F!=null?(F=F.getNodes(),F[F.length-1].getTopLevelElementOrThrow().insertAfter(j)):C.$getRoot().append(j),F=C.$createParagraphNode(),j.insertAfter(F),F.select();return j.getLatest()},LexicalUtils_prod.$restoreEditorState=function(j,F){let V=new Map,K=j._pendingEditorState;for(let[W,X]of F._nodeMap){let J=S.$cloneWithProperties(X);if(C.$isTextNode(J)){if(!C.$isTextNode(X))throw Error("Expected node be a TextNode");J.__text=X.__text}V.set(W,J)}K&&(K._nodeMap=V),j._dirtyType=2,j=F._selection,C.$setSelection(j===null?null:j.clone())},LexicalUtils_prod.$wrapNodeInElement=function(j,F){return F=F(),j.replace(F),F.append(j),F},LexicalUtils_prod.addClassNamesToElement=function(j,...F){F.forEach(V=>{typeof V=="string"&&(V=V.split(" ").filter(K=>K!==""),j.classList.add(...V))})},LexicalUtils_prod.isMimeType=L,LexicalUtils_prod.markSelection=function(j,F){function V(pe){pe.read(()=>{var me=C.$getSelection();if(C.$isRangeSelection(me)){var{anchor:xe,focus:Ae}=me;me=xe.getNode();var ge=me.getKey(),Te=xe.offset,we=Ae.getNode(),ke=we.getKey(),Be=Ae.offset,Ie=j.getElementByKey(ge),je=j.getElementByKey(ke);if(ge=K===null||Ie===null||Te!==W||ge!==K.getKey()||me!==K&&(!(K instanceof C.TextNode)||me.updateDOM(K,Ie,j._config)),ke=X===null||je===null||Be!==J||ke!==X.getKey()||we!==X&&(!(X instanceof C.TextNode)||we.updateDOM(X,je,j._config)),ge||ke){Ie=j.getElementByKey(xe.getNode().getKey());var Ke=j.getElementByKey(Ae.getNode().getKey());if(Ie!==null&&Ke!==null&&Ie.tagName==="SPAN"&&Ke.tagName==="SPAN"){if(ke=document.createRange(),Ae.isBefore(xe)?(ge=Ke,je=Ae.offset,Ke=Ie,Ie=xe.offset):(ge=Ie,je=xe.offset,Ie=Ae.offset),ge=ge.firstChild,ge===null||(Ke=Ke.firstChild,Ke===null))throw Error("Expected text node to be first child of span");ke.setStart(ge,je),ke.setEnd(Ke,Ie),oe(),oe=N(j,ke,Je=>{for(let Xe of Je){let ot=Xe.style;ot.background!=="Highlight"&&(ot.background="Highlight"),ot.color!=="HighlightText"&&(ot.color="HighlightText"),ot.zIndex!=="-1"&&(ot.zIndex="-1"),ot.pointerEvents!=="none"&&(ot.pointerEvents="none"),ot.marginTop!=="-1.5px"&&(ot.marginTop="-1.5px"),ot.paddingTop!=="4px"&&(ot.paddingTop="4px"),ot.paddingBottom!=="0px"&&(ot.paddingBottom="0px")}F!==void 0&&F(Je)})}}K=me,W=Te,X=we,J=Be}else J=X=W=K=null,oe(),oe=()=>{}})}let K=null,W=null,X=null,J=null,oe=()=>{};return V(j.getEditorState()),O(j.registerUpdateListener(({editorState:pe})=>V(pe)),oe,()=>{oe()})},LexicalUtils_prod.mediaFileReader=function(j,F){let V=j[Symbol.iterator]();return new Promise((K,W)=>{let X=[],J=()=>{const{done:oe,value:pe}=V.next();if(oe)return K(X);const me=new FileReader;me.addEventListener("error",W),me.addEventListener("load",()=>{const xe=me.result;typeof xe=="string"&&X.push({file:pe,result:xe}),J()}),L(pe,F)?me.readAsDataURL(pe):J()};J()})},LexicalUtils_prod.mergeRegister=O,LexicalUtils_prod.objectKlassEquals=function(j,F){return j!==null?Object.getPrototypeOf(j).constructor.name===F.name:!1},LexicalUtils_prod.positionNodeOnRange=N,LexicalUtils_prod.registerNestedElementResolver=function(j,F,V,K){return j.registerNodeTransform(F,W=>{e:{for(var X=W.getChildren(),J=0;J<X.length;J++)if(X[J]instanceof F){X=null;break e}for(X=W;X!==null;)if(J=X,X=X.getParent(),X instanceof F){X={child:J,parent:X};break e}X=null}if(X!==null){const{child:oe,parent:pe}=X;if(oe.is(W)){if(K(pe,W),W=oe.getNextSiblings(),X=W.length,pe.insertAfter(oe),X!==0){J=V(pe),oe.insertAfter(J);for(let me=0;me<X;me++)J.append(W[me])}pe.canBeEmpty()||pe.getChildrenSize()!==0||pe.remove()}}})},LexicalUtils_prod.removeClassNamesFromElement=function(j,...F){F.forEach(V=>{typeof V=="string"&&j.classList.remove(...V.split(" "))})},LexicalUtils_prod}var LexicalUtils_dev={},hasRequiredLexicalUtils_dev;function requireLexicalUtils_dev(){if(hasRequiredLexicalUtils_dev)return LexicalUtils_dev;hasRequiredLexicalUtils_dev=1;var S=requireLexicalSelection(),C=Lexical_1;function R(...ke){return()=>{ke.forEach(Be=>Be())}}function O(ke){return`${ke}px`}const I={attributes:!0,characterData:!0,childList:!0,subtree:!0};function N(ke,Be,Ie){let je=null,Ke=null,Je=null,Xe=[];const ot=document.createElement("div");function tt(){if(je===null)throw Error("Unexpected null rootDOMNode");if(Ke===null)throw Error("Unexpected null parentDOMNode");const{left:gt,top:Qe}=je.getBoundingClientRect(),lt=Ke,ht=S.createRectsFromDOMRange(ke,Be);ot.isConnected||lt.append(ot);let Ct=!1;for(let $t=0;$t<ht.length;$t++){const Lt=ht[$t],Gt=Xe[$t]||document.createElement("div"),Pt=Gt.style;Pt.position!=="absolute"&&(Pt.position="absolute",Ct=!0);const Vt=O(Lt.left-gt);Pt.left!==Vt&&(Pt.left=Vt,Ct=!0);const bt=O(Lt.top-Qe);Pt.top!==bt&&(Gt.style.top=bt,Ct=!0);const It=O(Lt.width);Pt.width!==It&&(Gt.style.width=It,Ct=!0);const Ht=O(Lt.height);Pt.height!==Ht&&(Gt.style.height=Ht,Ct=!0),Gt.parentNode!==ot&&(ot.append(Gt),Ct=!0),Xe[$t]=Gt}for(;Xe.length>ht.length;)Xe.pop();Ct&&Ie(Xe)}function Ue(){Ke=null,je=null,Je!==null&&Je.disconnect(),Je=null,ot.remove();for(const gt of Xe)gt.remove();Xe=[]}function et(){const gt=ke.getRootElement();if(gt===null)return Ue();const Qe=gt.parentElement;if(!(Qe instanceof HTMLElement))return Ue();Ue(),je=gt,Ke=Qe,Je=new MutationObserver(lt=>{const ht=ke.getRootElement(),Ct=ht&&ht.parentElement;if(ht!==je||Ct!==Ke)return et();for(const $t of lt)if(!ot.contains($t.target))return tt()}),Je.observe(Qe,I),tt()}const dt=ke.registerRootListener(et);return()=>{dt(),Ue()}}function L(ke,Be){let Ie=null,je=null,Ke=null,Je=null,Xe=()=>{};function ot(tt){tt.read(()=>{const Ue=C.$getSelection();if(!C.$isRangeSelection(Ue)){Ie=null,je=null,Ke=null,Je=null,Xe(),Xe=()=>{};return}const{anchor:et,focus:dt}=Ue,gt=et.getNode(),Qe=gt.getKey(),lt=et.offset,ht=dt.getNode(),Ct=ht.getKey(),$t=dt.offset,Lt=ke.getElementByKey(Qe),Gt=ke.getElementByKey(Ct),Pt=Ie===null||Lt===null||lt!==je||Qe!==Ie.getKey()||gt!==Ie&&(!(Ie instanceof C.TextNode)||gt.updateDOM(Ie,Lt,ke._config)),Vt=Ke===null||Gt===null||$t!==Je||Ct!==Ke.getKey()||ht!==Ke&&(!(Ke instanceof C.TextNode)||ht.updateDOM(Ke,Gt,ke._config));if(Pt||Vt){const bt=ke.getElementByKey(et.getNode().getKey()),It=ke.getElementByKey(dt.getNode().getKey());if(bt!==null&&It!==null&&bt.tagName==="SPAN"&&It.tagName==="SPAN"){const Ht=document.createRange();let kt,Kt,tr,wr;dt.isBefore(et)?(kt=It,Kt=dt.offset,tr=bt,wr=et.offset):(kt=bt,Kt=et.offset,tr=It,wr=dt.offset);const xr=kt.firstChild;if(xr===null)throw Error("Expected text node to be first child of span");const Vr=tr.firstChild;if(Vr===null)throw Error("Expected text node to be first child of span");Ht.setStart(xr,Kt),Ht.setEnd(Vr,wr),Xe(),Xe=N(ke,Ht,bn=>{for(const Bn of bn){const An=Bn.style;An.background!=="Highlight"&&(An.background="Highlight"),An.color!=="HighlightText"&&(An.color="HighlightText"),An.zIndex!=="-1"&&(An.zIndex="-1"),An.pointerEvents!=="none"&&(An.pointerEvents="none"),An.marginTop!==O(-1.5)&&(An.marginTop=O(-1.5)),An.paddingTop!==O(4)&&(An.paddingTop=O(4)),An.paddingBottom!==O(0)&&(An.paddingBottom=O(0))}Be!==void 0&&Be(bn)})}}Ie=gt,je=lt,Ke=ht,Je=$t})}return ot(ke.getEditorState()),R(ke.registerUpdateListener(({editorState:tt})=>ot(tt)),Xe,()=>{Xe()})}function B(ke,...Be){Be.forEach(Ie=>{if(typeof Ie=="string"){const je=Ie.split(" ").filter(Ke=>Ke!=="");ke.classList.add(...je)}})}function j(ke,...Be){Be.forEach(Ie=>{typeof Ie=="string"&&ke.classList.remove(...Ie.split(" "))})}function F(ke,Be){for(const Ie of Be)if(ke.type.startsWith(Ie))return!0;return!1}function V(ke,Be){const Ie=ke[Symbol.iterator]();return new Promise((je,Ke)=>{const Je=[],Xe=()=>{const{done:ot,value:tt}=Ie.next();if(ot)return je(Je);const Ue=new FileReader;Ue.addEventListener("error",Ke),Ue.addEventListener("load",()=>{const et=Ue.result;typeof et=="string"&&Je.push({file:tt,result:et}),Xe()}),F(tt,Be)?Ue.readAsDataURL(tt):Xe()};Xe()})}function K(ke,Be){const Ie=[],je=(ke||C.$getRoot()).getLatest(),Ke=Be||(C.$isElementNode(je)?je.getLastDescendant():je);let Je=je,Xe=W(Je);for(;Je!==null&&!Je.is(Ke);)if(Ie.push({depth:Xe,node:Je}),C.$isElementNode(Je)&&Je.getChildrenSize()>0)Je=Je.getFirstChild(),Xe++;else{let ot=null;for(;ot===null&&Je!==null;)ot=Je.getNextSibling(),ot===null?(Je=Je.getParent(),Xe--):Je=ot}return Je!==null&&Je.is(Ke)&&Ie.push({depth:Xe,node:Je}),Ie}function W(ke){let Be=ke,Ie=0;for(;(Be=Be.getParent())!==null;)Ie++;return Ie}function X(ke,Be){let Ie=ke;for(;Ie!=null;){if(Ie instanceof Be)return Ie;Ie=Ie.getParent()}return null}function J(ke){const Be=oe(ke,Ie=>C.$isElementNode(Ie)&&!Ie.isInline());if(!C.$isElementNode(Be))throw Error(`Expected node ${ke.__key} to have closest block element node.`);return Be}const oe=(ke,Be)=>{let Ie=ke;for(;Ie!==C.$getRoot()&&Ie!=null;){if(Be(Ie))return Ie;Ie=Ie.getParent()}return null};function pe(ke,Be,Ie,je){const Ke=ot=>ot instanceof Be,Je=ot=>{const tt=ot.getChildren();for(let dt=0;dt<tt.length;dt++){const gt=tt[dt];if(Ke(gt))return null}let Ue=ot,et=ot;for(;Ue!==null;)if(et=Ue,Ue=Ue.getParent(),Ke(Ue))return{child:et,parent:Ue};return null},Xe=ot=>{const tt=Je(ot);if(tt!==null){const{child:Ue,parent:et}=tt;if(Ue.is(ot)){je(et,ot);const dt=Ue.getNextSiblings(),gt=dt.length;if(et.insertAfter(Ue),gt!==0){const Qe=Ie(et);Ue.insertAfter(Qe);for(let lt=0;lt<gt;lt++)Qe.append(dt[lt])}!et.canBeEmpty()&&et.getChildrenSize()===0&&et.remove()}}};return ke.registerNodeTransform(Be,Xe)}function me(ke,Be){const je=new Map,Ke=ke._pendingEditorState;for(const[Xe,ot]of Be._nodeMap){const tt=S.$cloneWithProperties(ot);if(C.$isTextNode(tt)){if(!C.$isTextNode(ot))throw Error("Expected node be a TextNode");tt.__text=ot.__text}je.set(Xe,tt)}Ke&&(Ke._nodeMap=je),ke._dirtyType=2;const Je=Be._selection;C.$setSelection(Je===null?null:Je.clone())}function xe(ke){const Be=C.$getSelection()||C.$getPreviousSelection();if(C.$isRangeSelection(Be)){const{focus:Ie}=Be,je=Ie.getNode(),Ke=Ie.offset;if(C.$isRootOrShadowRoot(je)){const Je=je.getChildAtIndex(Ke);Je==null?je.append(ke):Je.insertBefore(ke),ke.selectNext()}else{let Je,Xe;C.$isTextNode(je)?(Je=je.getParentOrThrow(),Xe=je.getIndexWithinParent(),Ke>0&&(Xe+=1,je.splitText(Ke))):(Je=je,Xe=Ke);const[,ot]=C.$splitNode(Je,Xe);ot.insertBefore(ke),ot.selectStart()}}else{if(Be!=null){const je=Be.getNodes();je[je.length-1].getTopLevelElementOrThrow().insertAfter(ke)}else C.$getRoot().append(ke);const Ie=C.$createParagraphNode();ke.insertAfter(Ie),Ie.select()}return ke.getLatest()}function Ae(ke,Be){const Ie=Be();return ke.replace(Ie),Ie.append(ke),Ie}function ge(ke,Be){return ke!==null?Object.getPrototypeOf(ke).constructor.name===Be.name:!1}function Te(ke,Be){const Ie=[];for(let je=0;je<ke.length;je++){const Ke=Be(ke[je]);Ke!==null&&Ie.push(Ke)}return Ie}function we(ke,Be){const Ie=ke.getFirstChild();Ie!==null?Ie.insertBefore(Be):ke.append(Be)}return LexicalUtils_dev.$splitNode=C.$splitNode,LexicalUtils_dev.isHTMLAnchorElement=C.isHTMLAnchorElement,LexicalUtils_dev.isHTMLElement=C.isHTMLElement,LexicalUtils_dev.$dfs=K,LexicalUtils_dev.$filter=Te,LexicalUtils_dev.$findMatchingParent=oe,LexicalUtils_dev.$getNearestBlockElementAncestorOrThrow=J,LexicalUtils_dev.$getNearestNodeOfType=X,LexicalUtils_dev.$insertFirst=we,LexicalUtils_dev.$insertNodeToNearestRoot=xe,LexicalUtils_dev.$restoreEditorState=me,LexicalUtils_dev.$wrapNodeInElement=Ae,LexicalUtils_dev.addClassNamesToElement=B,LexicalUtils_dev.isMimeType=F,LexicalUtils_dev.markSelection=L,LexicalUtils_dev.mediaFileReader=V,LexicalUtils_dev.mergeRegister=R,LexicalUtils_dev.objectKlassEquals=ge,LexicalUtils_dev.positionNodeOnRange=N,LexicalUtils_dev.registerNestedElementResolver=pe,LexicalUtils_dev.removeClassNamesFromElement=j,LexicalUtils_dev}var define_process_env_default$a={};const LexicalUtils=define_process_env_default$a.NODE_ENV==="development"?requireLexicalUtils_dev():requireLexicalUtils_prod();var LexicalUtils_1=LexicalUtils,hasRequiredLexicalLink_prod;function requireLexicalLink_prod(){if(hasRequiredLexicalLink_prod)return LexicalLink_prod;hasRequiredLexicalLink_prod=1;var S=LexicalUtils_1,C=Lexical_1;let R=new Set(["http:","https:","mailto:","sms:","tel:"]);class O extends C.ElementNode{static getType(){return"link"}static clone(W){return new O(W.__url,{rel:W.__rel,target:W.__target,title:W.__title},W.__key)}constructor(W,X={},J){super(J);let{target:oe=null,rel:pe=null,title:me=null}=X;this.__url=W,this.__target=oe,this.__rel=pe,this.__title=me}createDOM(W){let X=document.createElement("a");return X.href=this.sanitizeUrl(this.__url),this.__target!==null&&(X.target=this.__target),this.__rel!==null&&(X.rel=this.__rel),this.__title!==null&&(X.title=this.__title),S.addClassNamesToElement(X,W.theme.link),X}updateDOM(W,X){let J=this.__url,oe=this.__target,pe=this.__rel,me=this.__title;return J!==W.__url&&(X.href=J),oe!==W.__target&&(oe?X.target=oe:X.removeAttribute("target")),pe!==W.__rel&&(pe?X.rel=pe:X.removeAttribute("rel")),me!==W.__title&&(me?X.title=me:X.removeAttribute("title")),!1}static importDOM(){return{a:()=>({conversion:I,priority:1})}}static importJSON(W){let X=N(W.url,{rel:W.rel,target:W.target,title:W.title});return X.setFormat(W.format),X.setIndent(W.indent),X.setDirection(W.direction),X}sanitizeUrl(W){try{let X=new URL(W);if(!R.has(X.protocol))return"about:blank"}catch{}return W}exportJSON(){return{...super.exportJSON(),rel:this.getRel(),target:this.getTarget(),title:this.getTitle(),type:"link",url:this.getURL(),version:1}}getURL(){return this.getLatest().__url}setURL(W){this.getWritable().__url=W}getTarget(){return this.getLatest().__target}setTarget(W){this.getWritable().__target=W}getRel(){return this.getLatest().__rel}setRel(W){this.getWritable().__rel=W}getTitle(){return this.getLatest().__title}setTitle(W){this.getWritable().__title=W}insertNewAfter(W,X=!0){return W=N(this.__url,{rel:this.__rel,target:this.__target,title:this.__title}),this.insertAfter(W,X),W}canInsertTextBefore(){return!1}canInsertTextAfter(){return!1}canBeEmpty(){return!1}isInline(){return!0}extractWithChild(W,X){if(!C.$isRangeSelection(X))return!1;W=X.anchor.getNode();let J=X.focus.getNode();return this.isParentOf(W)&&this.isParentOf(J)&&0<X.getTextContent().length}}function I(K){let W=null;if(S.isHTMLAnchorElement(K)){let X=K.textContent;(X!==null&&X!==""||0<K.children.length)&&(W=N(K.getAttribute("href")||"",{rel:K.getAttribute("rel"),target:K.getAttribute("target"),title:K.getAttribute("title")}))}return{node:W}}function N(K,W){return C.$applyNodeReplacement(new O(K,W))}function L(K){return K instanceof O}class B extends O{static getType(){return"autolink"}static clone(W){return new B(W.__url,{rel:W.__rel,target:W.__target,title:W.__title},W.__key)}static importJSON(W){let X=j(W.url,{rel:W.rel,target:W.target,title:W.title});return X.setFormat(W.format),X.setIndent(W.indent),X.setDirection(W.direction),X}static importDOM(){return null}exportJSON(){return{...super.exportJSON(),type:"autolink",version:1}}insertNewAfter(W,X=!0){return W=this.getParentOrThrow().insertNewAfter(W,X),C.$isElementNode(W)?(X=j(this.__url,{rel:this.__rel,target:this.__target,title:this.__title}),W.append(X),X):null}}function j(K,W){return C.$applyNodeReplacement(new B(K,W))}let F=C.createCommand("TOGGLE_LINK_COMMAND");function V(K,W){for(;K!==null&&K.getParent()!==null&&!W(K);)K=K.getParentOrThrow();return W(K)?K:null}return LexicalLink_prod.$createAutoLinkNode=j,LexicalLink_prod.$createLinkNode=N,LexicalLink_prod.$isAutoLinkNode=function(K){return K instanceof B},LexicalLink_prod.$isLinkNode=L,LexicalLink_prod.AutoLinkNode=B,LexicalLink_prod.LinkNode=O,LexicalLink_prod.TOGGLE_LINK_COMMAND=F,LexicalLink_prod.toggleLink=function(K,W={}){let{target:X,title:J}=W,oe=W.rel===void 0?"noreferrer":W.rel;if(W=C.$getSelection(),C.$isRangeSelection(W))if(W=W.extract(),K===null)W.forEach(pe=>{if(pe=pe.getParent(),L(pe)){let me=pe.getChildren();for(let xe=0;xe<me.length;xe++)pe.insertBefore(me[xe]);pe.remove()}});else{if(W.length===1){let xe=V(W[0],L);if(xe!==null){xe.setURL(K),X!==void 0&&xe.setTarget(X),oe!==null&&xe.setRel(oe),J!==void 0&&xe.setTitle(J);return}}let pe=null,me=null;W.forEach(xe=>{var Ae=xe.getParent();if(Ae!==me&&Ae!==null&&(!C.$isElementNode(xe)||xe.isInline()))if(L(Ae))me=Ae,Ae.setURL(K),X!==void 0&&Ae.setTarget(X),oe!==null&&me.setRel(oe),J!==void 0&&me.setTitle(J);else if(Ae.is(pe)||(pe=Ae,me=N(K,{rel:oe,target:X,title:J}),L(Ae)?xe.getPreviousSibling()===null?Ae.insertBefore(me):Ae.insertAfter(me):xe.insertBefore(me)),L(xe)){if(!xe.is(me)){if(me!==null){Ae=xe.getChildren();for(let ge=0;ge<Ae.length;ge++)me.append(Ae[ge])}xe.remove()}}else me!==null&&me.append(xe)})}},LexicalLink_prod}var LexicalLink_dev={},hasRequiredLexicalLink_dev;function requireLexicalLink_dev(){if(hasRequiredLexicalLink_dev)return LexicalLink_dev;hasRequiredLexicalLink_dev=1;var S=LexicalUtils_1,C=Lexical_1;const R=new Set(["http:","https:","mailto:","sms:","tel:"]);class O extends C.ElementNode{static getType(){return"link"}static clone(J){return new O(J.__url,{rel:J.__rel,target:J.__target,title:J.__title},J.__key)}constructor(J,oe={},pe){super(pe);const{target:me=null,rel:xe=null,title:Ae=null}=oe;this.__url=J,this.__target=me,this.__rel=xe,this.__title=Ae}createDOM(J){const oe=document.createElement("a");return oe.href=this.sanitizeUrl(this.__url),this.__target!==null&&(oe.target=this.__target),this.__rel!==null&&(oe.rel=this.__rel),this.__title!==null&&(oe.title=this.__title),S.addClassNamesToElement(oe,J.theme.link),oe}updateDOM(J,oe,pe){const me=this.__url,xe=this.__target,Ae=this.__rel,ge=this.__title;return me!==J.__url&&(oe.href=me),xe!==J.__target&&(xe?oe.target=xe:oe.removeAttribute("target")),Ae!==J.__rel&&(Ae?oe.rel=Ae:oe.removeAttribute("rel")),ge!==J.__title&&(ge?oe.title=ge:oe.removeAttribute("title")),!1}static importDOM(){return{a:J=>({conversion:I,priority:1})}}static importJSON(J){const oe=N(J.url,{rel:J.rel,target:J.target,title:J.title});return oe.setFormat(J.format),oe.setIndent(J.indent),oe.setDirection(J.direction),oe}sanitizeUrl(J){try{const oe=new URL(J);if(!R.has(oe.protocol))return"about:blank"}catch{return J}return J}exportJSON(){return{...super.exportJSON(),rel:this.getRel(),target:this.getTarget(),title:this.getTitle(),type:"link",url:this.getURL(),version:1}}getURL(){return this.getLatest().__url}setURL(J){const oe=this.getWritable();oe.__url=J}getTarget(){return this.getLatest().__target}setTarget(J){const oe=this.getWritable();oe.__target=J}getRel(){return this.getLatest().__rel}setRel(J){const oe=this.getWritable();oe.__rel=J}getTitle(){return 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V=C.$createParagraphNode();F.append(V),F=O?document.activeElement:null,(C.$getSelection()!==null||F!==null&&F===B.getRootElement())&&V.select()}},N);else if(j!==null)switch(typeof j){case"string":let F=B.parseEditorState(j);B.setEditorState(F,N);break;case"object":B.setEditorState(j,N);break;case"function":B.update(()=>{C.$getRoot().isEmpty()&&j(B)},N)}}}return LexicalComposer_prod.LexicalComposer=function({initialConfig:B,children:j}){let F=R.useMemo(()=>{const{theme:V,namespace:K,editor__DEPRECATED:W,nodes:X,onError:J,editorState:oe,html:pe}=B,me=S.createLexicalComposerContext(null,V);let xe=W||null;if(xe===null){const Ae=C.createEditor({editable:B.editable,html:pe,namespace:K,nodes:X,onError:ge=>J(ge,Ae),theme:V});L(Ae,oe),xe=Ae}return[xe,me]},[]);return I(()=>{let V=B.editable,[K]=F;K.setEditable(V!==void 0?V:!0)},[]),R.createElement(S.LexicalComposerContext.Provider,{value:F},j)},LexicalComposer_prod}var LexicalComposer_dev={},hasRequiredLexicalComposer_dev;function requireLexicalComposer_dev(){if(hasRequiredLexicalComposer_dev)return LexicalComposer_dev;hasRequiredLexicalComposer_dev=1;var S=LexicalComposerContext_1,C=Lexical_1,R=requireReact();const O=typeof window<"u"&&typeof window.document<"u"&&typeof window.document.createElement<"u";var N=O?R.useLayoutEffect:R.useEffect;const L={tag:"history-merge"};function B({initialConfig:F,children:V}){const K=R.useMemo(()=>{const{theme:W,namespace:X,editor__DEPRECATED:J,nodes:oe,onError:pe,editorState:me,html:xe}=F,Ae=S.createLexicalComposerContext(null,W);let ge=J||null;if(ge===null){const Te=C.createEditor({editable:F.editable,html:xe,namespace:X,nodes:oe,onError:we=>pe(we,Te),theme:W});j(Te,me),ge=Te}return[ge,Ae]},[]);return N(()=>{const W=F.editable,[X]=K;X.setEditable(W!==void 0?W:!0)},[]),R.createElement(S.LexicalComposerContext.Provider,{value:K},V)}function j(F,V){if(V!==null){if(V===void 0)F.update(()=>{const K=C.$getRoot();if(K.isEmpty()){const W=C.$createParagraphNode();K.append(W);const X=O?document.activeElement:null;(C.$getSelection()!==null||X!==null&&X===F.getRootElement())&&W.select()}},L);else if(V!==null)switch(typeof V){case"string":{const K=F.parseEditorState(V);F.setEditorState(K,L);break}case"object":{F.setEditorState(V,L);break}case"function":{F.update(()=>{C.$getRoot().isEmpty()&&V(F)},L);break}}}}return LexicalComposer_dev.LexicalComposer=B,LexicalComposer_dev}var define_process_env_default$7={};const LexicalComposer=define_process_env_default$7.NODE_ENV==="development"?requireLexicalComposer_dev():requireLexicalComposer_prod();var LexicalComposer_1=LexicalComposer,LexicalContentEditable_prod={},hasRequiredLexicalContentEditable_prod;function requireLexicalContentEditable_prod(){if(hasRequiredLexicalContentEditable_prod)return LexicalContentEditable_prod;hasRequiredLexicalContentEditable_prod=1;var S=LexicalComposerContext_1,C=requireReact();function R(){return R=Object.assign?Object.assign.bind():function(I){for(var N=1;N<arguments.length;N++){var L=arguments[N],B;for(B in L)Object.prototype.hasOwnProperty.call(L,B)&&(I[B]=L[B])}return I},R.apply(this,arguments)}var O=typeof window<"u"&&typeof window.document<"u"&&typeof window.document.createElement<"u"?C.useLayoutEffect:C.useEffect;return LexicalContentEditable_prod.ContentEditable=function({ariaActiveDescendant:I,ariaAutoComplete:N,ariaControls:L,ariaDescribedBy:B,ariaExpanded:j,ariaLabel:F,ariaLabelledBy:V,ariaMultiline:K,ariaOwns:W,ariaRequired:X,autoCapitalize:J,className:oe,id:pe,role:me="textbox",spellCheck:xe=!0,style:Ae,tabIndex:ge,"data-testid":Te,...we}){let[ke]=S.useLexicalComposerContext(),[Be,Ie]=C.useState(!1),je=C.useCallback(Ke=>{ke.setRootElement(Ke)},[ke]);return O(()=>(Ie(ke.isEditable()),ke.registerEditableListener(Ke=>{Ie(Ke)})),[ke]),C.createElement("div",R({},we,{"aria-activedescendant":Be?I:void 0,"aria-autocomplete":Be?N:"none","aria-controls":Be?L:void 0,"aria-describedby":B,"aria-expanded":Be&&me==="combobox"?!!j:void 0,"aria-label":F,"aria-labelledby":V,"aria-multiline":K,"aria-owns":Be?W:void 0,"aria-readonly":Be?void 0:!0,"aria-required":X,autoCapitalize:J,className:oe,contentEditable:Be,"data-testid":Te,id:pe,ref:je,role:me,spellCheck:xe,style:Ae,tabIndex:ge}))},LexicalContentEditable_prod}var LexicalContentEditable_dev={},hasRequiredLexicalContentEditable_dev;function requireLexicalContentEditable_dev(){if(hasRequiredLexicalContentEditable_dev)return LexicalContentEditable_dev;hasRequiredLexicalContentEditable_dev=1;var S=LexicalComposerContext_1,C=requireReact();function R(){return R=Object.assign?Object.assign.bind():function(B){for(var j=1;j<arguments.length;j++){var F=arguments[j];for(var V in F)Object.prototype.hasOwnProperty.call(F,V)&&(B[V]=F[V])}return B},R.apply(this,arguments)}var N=typeof window<"u"&&typeof window.document<"u"&&typeof window.document.createElement<"u"?C.useLayoutEffect:C.useEffect;function L({ariaActiveDescendant:B,ariaAutoComplete:j,ariaControls:F,ariaDescribedBy:V,ariaExpanded:K,ariaLabel:W,ariaLabelledBy:X,ariaMultiline:J,ariaOwns:oe,ariaRequired:pe,autoCapitalize:me,className:xe,id:Ae,role:ge="textbox",spellCheck:Te=!0,style:we,tabIndex:ke,"data-testid":Be,...Ie}){const[je]=S.useLexicalComposerContext(),[Ke,Je]=C.useState(!1),Xe=C.useCallback(ot=>{je.setRootElement(ot)},[je]);return N(()=>(Je(je.isEditable()),je.registerEditableListener(ot=>{Je(ot)})),[je]),C.createElement("div",R({},Ie,{"aria-activedescendant":Ke?B:void 0,"aria-autocomplete":Ke?j:"none","aria-controls":Ke?F:void 0,"aria-describedby":V,"aria-expanded":Ke&&ge==="combobox"?!!K:void 0,"aria-label":W,"aria-labelledby":X,"aria-multiline":J,"aria-owns":Ke?oe:void 0,"aria-readonly":Ke?void 0:!0,"aria-required":pe,autoCapitalize:me,className:xe,contentEditable:Ke,"data-testid":Be,id:Ae,ref:Xe,role:ge,spellCheck:Te,style:we,tabIndex:ke}))}return LexicalContentEditable_dev.ContentEditable=L,LexicalContentEditable_dev}var define_process_env_default$6={};const LexicalContentEditable=define_process_env_default$6.NODE_ENV==="development"?requireLexicalContentEditable_dev():requireLexicalContentEditable_prod();var LexicalContentEditable_1=LexicalContentEditable,LexicalErrorBoundary_prod,hasRequiredLexicalErrorBoundary_prod;function requireLexicalErrorBoundary_prod(){if(hasRequiredLexicalErrorBoundary_prod)return LexicalErrorBoundary_prod;hasRequiredLexicalErrorBoundary_prod=1;var S=requireReact();function C(L,B){return C=Object.setPrototypeOf?Object.setPrototypeOf.bind():function(j,F){return j.__proto__=F,j},C(L,B)}function R(L,B){L.prototype=Object.create(B.prototype),L.prototype.constructor=L,C(L,B)}function O(L,B){return L===void 0&&(L=[]),B===void 0&&(B=[]),L.length!==B.length||L.some(function(j,F){return!Object.is(j,B[F])})}var I={error:null},N=function(L){function B(){for(var F,V=arguments.length,K=Array(V),W=0;W<V;W++)K[W]=arguments[W];return F=L.call.apply(L,[this].concat(K))||this,F.state=I,F.resetErrorBoundary=function(){for(var X,J=arguments.length,oe=Array(J),pe=0;pe<J;pe++)oe[pe]=arguments[pe];F.props.onReset==null||(X=F.props).onReset.apply(X,oe),F.reset()},F}R(B,L),B.getDerivedStateFromError=function(F){return{error:F}};var j=B.prototype;return j.reset=function(){this.setState(I)},j.componentDidCatch=function(F,V){var K,W;(K=(W=this.props).onError)==null||K.call(W,F,V)},j.componentDidUpdate=function(F,V){var K=this.props.resetKeys;if(this.state.error!==null&&V.error!==null&&O(F.resetKeys,K)){var W,X;(W=(X=this.props).onResetKeysChange)==null||W.call(X,F.resetKeys,K),this.reset()}},j.render=function(){var F=this.state.error,V=this.props,K=V.fallbackRender,W=V.FallbackComponent;if(V=V.fallback,F!==null){if(F={error:F,resetErrorBoundary:this.resetErrorBoundary},S.isValidElement(V))return V;if(typeof K=="function")return K(F);if(W)return S.createElement(W,F);throw Error("react-error-boundary requires either a fallback, fallbackRender, or FallbackComponent prop")}return this.props.children},B}(S.Component);return LexicalErrorBoundary_prod=function({children:L,onError:B}){return S.createElement(N,{fallback:S.createElement("div",{style:{border:"1px solid #f00",color:"#f00",padding:"8px"}},"An error was thrown."),onError:B},L)},LexicalErrorBoundary_prod}var LexicalErrorBoundary_dev,hasRequiredLexicalErrorBoundary_dev;function requireLexicalErrorBoundary_dev(){if(hasRequiredLexicalErrorBoundary_dev)return LexicalErrorBoundary_dev;hasRequiredLexicalErrorBoundary_dev=1;var S=requireReact();function C(B,j){return C=Object.setPrototypeOf?Object.setPrototypeOf.bind():function(V,K){return V.__proto__=K,V},C(B,j)}function R(B,j){B.prototype=Object.create(j.prototype),B.prototype.constructor=B,C(B,j)}var O=function(j,F){return j===void 0&&(j=[]),F===void 0&&(F=[]),j.length!==F.length||j.some(function(V,K){return!Object.is(V,F[K])})},I={error:null},N=function(B){R(j,B);function j(){for(var V,K=arguments.length,W=new Array(K),X=0;X<K;X++)W[X]=arguments[X];return V=B.call.apply(B,[this].concat(W))||this,V.state=I,V.resetErrorBoundary=function(){for(var J,oe=arguments.length,pe=new Array(oe),me=0;me<oe;me++)pe[me]=arguments[me];V.props.onReset==null||(J=V.props).onReset.apply(J,pe),V.reset()},V}j.getDerivedStateFromError=function(K){return{error:K}};var F=j.prototype;return F.reset=function(){this.setState(I)},F.componentDidCatch=function(K,W){var X,J;(X=(J=this.props).onError)==null||X.call(J,K,W)},F.componentDidUpdate=function(K,W){var X=this.state.error,J=this.props.resetKeys;if(X!==null&&W.error!==null&&O(K.resetKeys,J)){var oe,pe;(oe=(pe=this.props).onResetKeysChange)==null||oe.call(pe,K.resetKeys,J),this.reset()}},F.render=function(){var K=this.state.error,W=this.props,X=W.fallbackRender,J=W.FallbackComponent,oe=W.fallback;if(K!==null){var pe={error:K,resetErrorBoundary:this.resetErrorBoundary};if(S.isValidElement(oe))return oe;if(typeof X=="function")return X(pe);if(J)return S.createElement(J,pe);throw new Error("react-error-boundary requires either a fallback, fallbackRender, or FallbackComponent prop")}return this.props.children},j}(S.Component);function L({children:B,onError:j}){return S.createElement(N,{fallback:S.createElement("div",{style:{border:"1px solid #f00",color:"#f00",padding:"8px"}},"An error was thrown."),onError:j},B)}return LexicalErrorBoundary_dev=L,LexicalErrorBoundary_dev}var define_process_env_default$5={};const LexicalErrorBoundary=define_process_env_default$5.NODE_ENV==="development"?requireLexicalErrorBoundary_dev():requireLexicalErrorBoundary_prod();var LexicalErrorBoundary_1=LexicalErrorBoundary;const LexicalErrorBoundary$1=getDefaultExportFromCjs(LexicalErrorBoundary_1);var LexicalHistoryPlugin_prod={},LexicalHistory_prod={},hasRequiredLexicalHistory_prod;function requireLexicalHistory_prod(){if(hasRequiredLexicalHistory_prod)return LexicalHistory_prod;hasRequiredLexicalHistory_prod=1;var S=LexicalUtils_1,C=Lexical_1;function R(I,N,L,B,j){if(I===null||L.size===0&&B.size===0&&!j)return 0;var F=N._selection,V=I._selection;if(j)return 1;if(!(C.$isRangeSelection(F)&&C.$isRangeSelection(V)&&V.isCollapsed()&&F.isCollapsed()))return 0;j=N._nodeMap;let K=[];for(let W of L)L=j.get(W),L!==void 0&&K.push(L);for(let[W,X]of B)X&&(B=j.get(W),B===void 0||C.$isRootNode(B)||K.push(B));return K.length===0?0:1<K.length?(B=N._nodeMap,N=B.get(F.anchor.key),V=B.get(V.anchor.key),N&&V&&!I._nodeMap.has(N.__key)&&C.$isTextNode(N)&&N.__text.length===1&&F.anchor.offset===1?2:0):(N=K[0],I=I._nodeMap.get(N.__key),!C.$isTextNode(I)||!C.$isTextNode(N)||I.__mode!==N.__mode||(I=I.__text,N=N.__text,I===N)||(F=F.anchor,V=V.anchor,F.key!==V.key||F.type!=="text")?0:(F=F.offset,V=V.offset,I=N.length-I.length,I===1&&V===F-1?2:I===-1&&V===F+1?3:I===-1&&V===F?4:0))}function O(I,N){let L=Date.now(),B=0;return(j,F,V,K,W,X)=>{let J=Date.now();if(X.has("historic"))return B=0,L=J,2;let oe=R(j,F,K,W,I.isComposing()),pe=(()=>{var me=V===null||V.editor===I,xe=X.has("history-push");if(!xe&&me&&X.has("history-merge"))return 0;if(j===null)return 1;var Ae=F._selection;if(!(0<K.size||0<W.size))return Ae!==null?0:2;if(xe===!1&&oe!==0&&oe===B&&J<L+N&&me)return 0;if(K.size===1){{xe=Array.from(K)[0],me=j._nodeMap.get(xe),xe=F._nodeMap.get(xe),Ae=j._selection;let ge=F._selection,Te=!1;C.$isRangeSelection(Ae)&&C.$isRangeSelection(ge)&&(Te=Ae.anchor.type==="element"&&Ae.focus.type==="element"&&ge.anchor.type==="text"&&ge.focus.type==="text"),me=!Te&&C.$isTextNode(me)&&C.$isTextNode(xe)?me.__type===xe.__type&&me.__text===xe.__text&&me.__mode===xe.__mode&&me.__detail===xe.__detail&&me.__style===xe.__style&&me.__format===xe.__format&&me.__parent===xe.__parent:!1}if(me)return 0}return 1})();return L=J,B=oe,pe}}return LexicalHistory_prod.createEmptyHistoryState=function(){return{current:null,redoStack:[],undoStack:[]}},LexicalHistory_prod.registerHistory=function(I,N,L){let B=O(I,L);L=({editorState:V,prevEditorState:K,dirtyLeaves:W,dirtyElements:X,tags:J})=>{const oe=N.current,pe=N.redoStack,me=N.undoStack,xe=oe===null?null:oe.editorState;if(oe===null||V!==xe){if(K=B(K,V,oe,W,X,J),K===1)pe.length!==0&&(N.redoStack=[],I.dispatchCommand(C.CAN_REDO_COMMAND,!1)),oe!==null&&(me.push({...oe}),I.dispatchCommand(C.CAN_UNDO_COMMAND,!0));else if(K===2)return;N.current={editor:I,editorState:V}}};let j=S.mergeRegister(I.registerCommand(C.UNDO_COMMAND,()=>{let V=N.redoStack,K=N.undoStack;if(K.length!==0){let W=N.current,X=K.pop();W!==null&&(V.push(W),I.dispatchCommand(C.CAN_REDO_COMMAND,!0)),K.length===0&&I.dispatchCommand(C.CAN_UNDO_COMMAND,!1),N.current=X||null,X&&X.editor.setEditorState(X.editorState,{tag:"historic"})}return!0},C.COMMAND_PRIORITY_EDITOR),I.registerCommand(C.REDO_COMMAND,()=>{let V=N.redoStack;var K=N.undoStack;if(V.length!==0){let W=N.current;W!==null&&(K.push(W),I.dispatchCommand(C.CAN_UNDO_COMMAND,!0)),K=V.pop(),V.length===0&&I.dispatchCommand(C.CAN_REDO_COMMAND,!1),N.current=K||null,K&&K.editor.setEditorState(K.editorState,{tag:"historic"})}return!0},C.COMMAND_PRIORITY_EDITOR),I.registerCommand(C.CLEAR_EDITOR_COMMAND,()=>(N.undoStack=[],N.redoStack=[],N.current=null,!1),C.COMMAND_PRIORITY_EDITOR),I.registerCommand(C.CLEAR_HISTORY_COMMAND,()=>(N.undoStack=[],N.redoStack=[],N.current=null,I.dispatchCommand(C.CAN_REDO_COMMAND,!1),I.dispatchCommand(C.CAN_UNDO_COMMAND,!1),!0),C.COMMAND_PRIORITY_EDITOR),I.registerUpdateListener(L)),F=I.registerUpdateListener(L);return()=>{j(),F()}},LexicalHistory_prod}var LexicalHistory_dev={},hasRequiredLexicalHistory_dev;function requireLexicalHistory_dev(){if(hasRequiredLexicalHistory_dev)return LexicalHistory_dev;hasRequiredLexicalHistory_dev=1;var S=LexicalUtils_1,C=Lexical_1;const R=0,O=1,I=2,N=0,L=1,B=2,j=3,F=4;function V(Ae,ge,Te){const we=Ae._nodeMap,ke=[];for(const Be of ge){const Ie=we.get(Be);Ie!==void 0&&ke.push(Ie)}for(const[Be,Ie]of Te){if(!Ie)continue;const je=we.get(Be);je!==void 0&&!C.$isRootNode(je)&&ke.push(je)}return ke}function K(Ae,ge,Te,we,ke){if(Ae===null||Te.size===0&&we.size===0&&!ke)return N;const Be=ge._selection,Ie=Ae._selection;if(ke)return L;if(!C.$isRangeSelection(Be)||!C.$isRangeSelection(Ie)||!Ie.isCollapsed()||!Be.isCollapsed())return N;const je=V(ge,Te,we);if(je.length===0)return N;if(je.length>1){const Qe=ge._nodeMap,lt=Qe.get(Be.anchor.key),ht=Qe.get(Ie.anchor.key);return lt&&ht&&!Ae._nodeMap.has(lt.__key)&&C.$isTextNode(lt)&&lt.__text.length===1&&Be.anchor.offset===1?B:N}const Ke=je[0],Je=Ae._nodeMap.get(Ke.__key);if(!C.$isTextNode(Je)||!C.$isTextNode(Ke)||Je.__mode!==Ke.__mode)return N;const Xe=Je.__text,ot=Ke.__text;if(Xe===ot)return N;const tt=Be.anchor,Ue=Ie.anchor;if(tt.key!==Ue.key||tt.type!=="text")return N;const et=tt.offset,dt=Ue.offset,gt=ot.length-Xe.length;return gt===1&&dt===et-1?B:gt===-1&&dt===et+1?j:gt===-1&&dt===et?F:N}function W(Ae,ge,Te){const we=ge._nodeMap.get(Ae),ke=Te._nodeMap.get(Ae),Be=ge._selection,Ie=Te._selection;let je=!1;return C.$isRangeSelection(Be)&&C.$isRangeSelection(Ie)&&(je=Be.anchor.type==="element"&&Be.focus.type==="element"&&Ie.anchor.type==="text"&&Ie.focus.type==="text"),!je&&C.$isTextNode(we)&&C.$isTextNode(ke)?we.__type===ke.__type&&we.__text===ke.__text&&we.__mode===ke.__mode&&we.__detail===ke.__detail&&we.__style===ke.__style&&we.__format===ke.__format&&we.__parent===ke.__parent:!1}function X(Ae,ge){let Te=Date.now(),we=N;return(ke,Be,Ie,je,Ke,Je)=>{const Xe=Date.now();if(Je.has("historic"))return we=N,Te=Xe,I;const ot=K(ke,Be,je,Ke,Ae.isComposing()),tt=(()=>{const Ue=Ie===null||Ie.editor===Ae,et=Je.has("history-push");if(!et&&Ue&&Je.has("history-merge"))return R;if(ke===null)return O;const gt=Be._selection;if(!(je.size>0||Ke.size>0))return gt!==null?R:I;if(et===!1&&ot!==N&&ot===we&&Xe<Te+ge&&Ue)return R;if(je.size===1){const lt=Array.from(je)[0];if(W(lt,ke,Be))return R}return O})();return Te=Xe,we=ot,tt}}function J(Ae,ge){const Te=ge.redoStack,we=ge.undoStack;if(Te.length!==0){const ke=ge.current;ke!==null&&(we.push(ke),Ae.dispatchCommand(C.CAN_UNDO_COMMAND,!0));const Be=Te.pop();Te.length===0&&Ae.dispatchCommand(C.CAN_REDO_COMMAND,!1),ge.current=Be||null,Be&&Be.editor.setEditorState(Be.editorState,{tag:"historic"})}}function oe(Ae,ge){const Te=ge.redoStack,we=ge.undoStack;if(we.length!==0){const Be=ge.current,Ie=we.pop();Be!==null&&(Te.push(Be),Ae.dispatchCommand(C.CAN_REDO_COMMAND,!0)),we.length===0&&Ae.dispatchCommand(C.CAN_UNDO_COMMAND,!1),ge.current=Ie||null,Ie&&Ie.editor.setEditorState(Ie.editorState,{tag:"historic"})}}function pe(Ae){Ae.undoStack=[],Ae.redoStack=[],Ae.current=null}function me(Ae,ge,Te){const we=X(Ae,Te),ke=({editorState:je,prevEditorState:Ke,dirtyLeaves:Je,dirtyElements:Xe,tags:ot})=>{const tt=ge.current,Ue=ge.redoStack,et=ge.undoStack,dt=tt===null?null:tt.editorState;if(tt!==null&&je===dt)return;const gt=we(Ke,je,tt,Je,Xe,ot);if(gt===O)Ue.length!==0&&(ge.redoStack=[],Ae.dispatchCommand(C.CAN_REDO_COMMAND,!1)),tt!==null&&(et.push({...tt}),Ae.dispatchCommand(C.CAN_UNDO_COMMAND,!0));else if(gt===I)return;ge.current={editor:Ae,editorState:je}},Be=S.mergeRegister(Ae.registerCommand(C.UNDO_COMMAND,()=>(oe(Ae,ge),!0),C.COMMAND_PRIORITY_EDITOR),Ae.registerCommand(C.REDO_COMMAND,()=>(J(Ae,ge),!0),C.COMMAND_PRIORITY_EDITOR),Ae.registerCommand(C.CLEAR_EDITOR_COMMAND,()=>(pe(ge),!1),C.COMMAND_PRIORITY_EDITOR),Ae.registerCommand(C.CLEAR_HISTORY_COMMAND,()=>(pe(ge),Ae.dispatchCommand(C.CAN_REDO_COMMAND,!1),Ae.dispatchCommand(C.CAN_UNDO_COMMAND,!1),!0),C.COMMAND_PRIORITY_EDITOR),Ae.registerUpdateListener(ke)),Ie=Ae.registerUpdateListener(ke);return()=>{Be(),Ie()}}function xe(){return{current:null,redoStack:[],undoStack:[]}}return LexicalHistory_dev.createEmptyHistoryState=xe,LexicalHistory_dev.registerHistory=me,LexicalHistory_dev}var LexicalHistory_1,hasRequiredLexicalHistory;function requireLexicalHistory(){if(hasRequiredLexicalHistory)return LexicalHistory_1;hasRequiredLexicalHistory=1;var S={};return LexicalHistory_1=S.NODE_ENV==="development"?requireLexicalHistory_dev():requireLexicalHistory_prod(),LexicalHistory_1}var hasRequiredLexicalHistoryPlugin_prod;function requireLexicalHistoryPlugin_prod(){if(hasRequiredLexicalHistoryPlugin_prod)return LexicalHistoryPlugin_prod;hasRequiredLexicalHistoryPlugin_prod=1;var S=LexicalComposerContext_1,C=requireLexicalHistory(),R=requireReact();function O(I,N,L=1e3){let B=R.useMemo(()=>N||C.createEmptyHistoryState(),[N]);R.useEffect(()=>C.registerHistory(I,B,L),[L,I,B])}return LexicalHistoryPlugin_prod.createEmptyHistoryState=C.createEmptyHistoryState,LexicalHistoryPlugin_prod.HistoryPlugin=function({externalHistoryState:I}){let[N]=S.useLexicalComposerContext();return O(N,I),null},LexicalHistoryPlugin_prod}var LexicalHistoryPlugin_dev={},hasRequiredLexicalHistoryPlugin_dev;function requireLexicalHistoryPlugin_dev(){if(hasRequiredLexicalHistoryPlugin_dev)return LexicalHistoryPlugin_dev;hasRequiredLexicalHistoryPlugin_dev=1;var S=LexicalComposerContext_1,C=requireLexicalHistory(),R=requireReact();function O(N,L,B=1e3){const j=R.useMemo(()=>L||C.createEmptyHistoryState(),[L]);R.useEffect(()=>C.registerHistory(N,j,B),[B,N,j])}function I({externalHistoryState:N}){const[L]=S.useLexicalComposerContext();return O(L,N),null}return LexicalHistoryPlugin_dev.createEmptyHistoryState=C.createEmptyHistoryState,LexicalHistoryPlugin_dev.HistoryPlugin=I,LexicalHistoryPlugin_dev}var define_process_env_default$4={};const LexicalHistoryPlugin=define_process_env_default$4.NODE_ENV==="development"?requireLexicalHistoryPlugin_dev():requireLexicalHistoryPlugin_prod();var LexicalHistoryPlugin_1=LexicalHistoryPlugin,LexicalOnChangePlugin_prod={},hasRequiredLexicalOnChangePlugin_prod;function requireLexicalOnChangePlugin_prod(){if(hasRequiredLexicalOnChangePlugin_prod)return LexicalOnChangePlugin_prod;hasRequiredLexicalOnChangePlugin_prod=1;var S=LexicalComposerContext_1,C=requireReact(),R=typeof window<"u"&&typeof window.document<"u"&&typeof window.document.createElement<"u"?C.useLayoutEffect:C.useEffect;return LexicalOnChangePlugin_prod.OnChangePlugin=function({ignoreHistoryMergeTagChange:O=!0,ignoreSelectionChange:I=!1,onChange:N}){let[L]=S.useLexicalComposerContext();return R(()=>{if(N)return L.registerUpdateListener(({editorState:B,dirtyElements:j,dirtyLeaves:F,prevEditorState:V,tags:K})=>{I&&j.size===0&&F.size===0||O&&K.has("history-merge")||V.isEmpty()||N(B,L,K)})},[L,O,I,N]),null},LexicalOnChangePlugin_prod}var LexicalOnChangePlugin_dev={},hasRequiredLexicalOnChangePlugin_dev;function requireLexicalOnChangePlugin_dev(){if(hasRequiredLexicalOnChangePlugin_dev)return LexicalOnChangePlugin_dev;hasRequiredLexicalOnChangePlugin_dev=1;var S=LexicalComposerContext_1,C=requireReact(),I=typeof window<"u"&&typeof window.document<"u"&&typeof window.document.createElement<"u"?C.useLayoutEffect:C.useEffect;function N({ignoreHistoryMergeTagChange:L=!0,ignoreSelectionChange:B=!1,onChange:j}){const[F]=S.useLexicalComposerContext();return I(()=>{if(j)return F.registerUpdateListener(({editorState:V,dirtyElements:K,dirtyLeaves:W,prevEditorState:X,tags:J})=>{B&&K.size===0&&W.size===0||L&&J.has("history-merge")||X.isEmpty()||j(V,F,J)})},[F,L,B,j]),null}return LexicalOnChangePlugin_dev.OnChangePlugin=N,LexicalOnChangePlugin_dev}var define_process_env_default$3={};const LexicalOnChangePlugin=define_process_env_default$3.NODE_ENV==="development"?requireLexicalOnChangePlugin_dev():requireLexicalOnChangePlugin_prod();var LexicalOnChangePlugin_1=LexicalOnChangePlugin,LexicalRichTextPlugin_prod={},useLexicalEditable_prod,hasRequiredUseLexicalEditable_prod;function requireUseLexicalEditable_prod(){if(hasRequiredUseLexicalEditable_prod)return useLexicalEditable_prod;hasRequiredUseLexicalEditable_prod=1;var S=LexicalComposerContext_1,C=requireReact(),R=typeof window<"u"&&typeof window.document<"u"&&typeof window.document.createElement<"u"?C.useLayoutEffect:C.useEffect;function O(N){let[L]=S.useLexicalComposerContext(),B=C.useMemo(()=>N(L),[L,N]),j=C.useRef(B.initialValueFn()),[F,V]=C.useState(j.current);return R(()=>{let{initialValueFn:K,subscribe:W}=B,X=K();return j.current!==X&&(j.current=X,V(X)),W(J=>{j.current=J,V(J)})},[B,N]),F}function I(N){return{initialValueFn:()=>N.isEditable(),subscribe:L=>N.registerEditableListener(L)}}return useLexicalEditable_prod=function(){return O(I)},useLexicalEditable_prod}var useLexicalEditable_dev,hasRequiredUseLexicalEditable_dev;function requireUseLexicalEditable_dev(){if(hasRequiredUseLexicalEditable_dev)return useLexicalEditable_dev;hasRequiredUseLexicalEditable_dev=1;var S=LexicalComposerContext_1,C=requireReact(),I=typeof window<"u"&&typeof window.document<"u"&&typeof window.document.createElement<"u"?C.useLayoutEffect:C.useEffect;function N(j){const[F]=S.useLexicalComposerContext(),V=C.useMemo(()=>j(F),[F,j]),K=C.useRef(V.initialValueFn()),[W,X]=C.useState(K.current);return I(()=>{const{initialValueFn:J,subscribe:oe}=V,pe=J();return K.current!==pe&&(K.current=pe,X(pe)),oe(me=>{K.current=me,X(me)})},[V,j]),W}function L(j){return{initialValueFn:()=>j.isEditable(),subscribe:F=>j.registerEditableListener(F)}}function B(){return N(L)}return useLexicalEditable_dev=B,useLexicalEditable_dev}var useLexicalEditable_1,hasRequiredUseLexicalEditable;function requireUseLexicalEditable(){if(hasRequiredUseLexicalEditable)return useLexicalEditable_1;hasRequiredUseLexicalEditable=1;var S={};return useLexicalEditable_1=S.NODE_ENV==="development"?requireUseLexicalEditable_dev():requireUseLexicalEditable_prod(),useLexicalEditable_1}var LexicalText_prod={},hasRequiredLexicalText_prod;function requireLexicalText_prod(){if(hasRequiredLexicalText_prod)return LexicalText_prod;hasRequiredLexicalText_prod=1;var S=Lexical_1;function C(I,N=!0){return I?!1:(I=R(),N&&(I=I.trim()),I==="")}function R(){return S.$getRoot().getTextContent()}function O(I){if(!C(I,!1))return!1;I=S.$getRoot().getChildren();let N=I.length;if(1<N)return!1;for(let B=0;B<N;B++){var L=I[B];if(S.$isDecoratorNode(L))return!1;if(S.$isElementNode(L)){if(!S.$isParagraphNode(L)||L.__indent!==0)return!1;L=L.getChildren();let j=L.length;for(let F=0;F<j;F++)if(!S.$isTextNode(L[B]))return!1}}return!0}return LexicalText_prod.$canShowPlaceholder=O,LexicalText_prod.$canShowPlaceholderCurry=function(I){return()=>O(I)},LexicalText_prod.$findTextIntersectionFromCharacters=function(I,N){var L=I.getFirstChild();I=0;e:for(;L!==null;){if(S.$isElementNode(L)){var B=L.getFirstChild();if(B!==null){L=B;continue}}else if(S.$isTextNode(L)){if(B=L.getTextContentSize(),I+B>N)return{node:L,offset:N-I};I+=B}if(B=L.getNextSibling(),B!==null)L=B;else{for(L=L.getParent();L!==null;){if(B=L.getNextSibling(),B!==null){L=B;continue e}L=L.getParent()}break}}return null},LexicalText_prod.$isRootTextContentEmpty=C,LexicalText_prod.$isRootTextContentEmptyCurry=function(I,N){return()=>C(I,N)},LexicalText_prod.$rootTextContent=R,LexicalText_prod.registerLexicalTextEntity=function(I,N,L,B){let j=V=>{const K=S.$createTextNode(V.getTextContent());K.setFormat(V.getFormat()),V.replace(K)},F=I.registerNodeTransform(S.TextNode,V=>{if(V.isSimpleText()){var K=V.getPreviousSibling(),W=V.getTextContent(),X=V;if(S.$isTextNode(K)){var J=K.getTextContent(),oe=N(J+W);if(K instanceof L){if(oe===null||K.getLatest().__mode!==0){j(K);return}if(oe=oe.end-J.length,0<oe){X=W.slice(0,oe),X=J+X,K.select(),K.setTextContent(X),oe===W.length?V.remove():(K=W.slice(oe),V.setTextContent(K));return}}else if(oe===null||oe.start<J.length)return}for(;;){if(V=N(W),W=oe=V===null?"":W.slice(V.end),oe===""){if(J=X.getNextSibling(),S.$isTextNode(J)){if(oe=X.getTextContent()+J.getTextContent(),oe=N(oe),oe===null){J instanceof L?j(J):J.markDirty();break}else if(oe.start!==0)break}}else if(J=N(oe),J!==null&&J.start===0)break;if(V===null)break;if(V.start===0&&S.$isTextNode(K)&&K.isTextEntity())continue;let pe;if(V.start===0?[pe,X]=X.splitText(V.end):[,pe,X]=X.splitText(V.start,V.end),V=B(pe),V.setFormat(pe.getFormat()),pe.replace(V),X==null)break}}});return I=I.registerNodeTransform(L,V=>{var K=V.getTextContent();const W=N(K);W===null||W.start!==0?j(V):K.length>W.end?V.splitText(W.end):(K=V.getPreviousSibling(),S.$isTextNode(K)&&K.isTextEntity()&&(j(K),j(V)),K=V.getNextSibling(),S.$isTextNode(K)&&K.isTextEntity()&&(j(K),V instanceof L&&j(V)))}),[F,I]},LexicalText_prod}var LexicalText_dev={},hasRequiredLexicalText_dev;function requireLexicalText_dev(){if(hasRequiredLexicalText_dev)return LexicalText_dev;hasRequiredLexicalText_dev=1;var S=Lexical_1;function C(j,F){let V=j.getFirstChild(),K=0;e:for(;V!==null;){if(S.$isElementNode(V)){const J=V.getFirstChild();if(J!==null){V=J;continue}}else if(S.$isTextNode(V)){const J=V.getTextContentSize();if(K+J>F)return{node:V,offset:F-K};K+=J}const W=V.getNextSibling();if(W!==null){V=W;continue}let X=V.getParent();for(;X!==null;){const J=X.getNextSibling();if(J!==null){V=J;continue e}X=X.getParent()}break}return null}function R(j,F=!0){if(j)return!1;let V=I();return F&&(V=V.trim()),V===""}function O(j,F){return()=>R(j,F)}function I(){return S.$getRoot().getTextContent()}function N(j){if(!R(j,!1))return!1;const V=S.$getRoot().getChildren(),K=V.length;if(K>1)return!1;for(let W=0;W<K;W++){const X=V[W];if(S.$isDecoratorNode(X))return!1;if(S.$isElementNode(X)){if(!S.$isParagraphNode(X)||X.__indent!==0)return!1;const J=X.getChildren(),oe=J.length;for(let pe=0;pe<oe;pe++){const me=J[W];if(!S.$isTextNode(me))return!1}}}return!0}function L(j){return()=>N(j)}function B(j,F,V,K){const W=Ae=>Ae instanceof V,X=Ae=>{const ge=S.$createTextNode(Ae.getTextContent());ge.setFormat(Ae.getFormat()),Ae.replace(ge)},J=Ae=>Ae.getLatest().__mode,oe=Ae=>{if(!Ae.isSimpleText())return;const ge=Ae.getPreviousSibling();let Te=Ae.getTextContent(),we=Ae,ke;if(S.$isTextNode(ge)){const Be=ge.getTextContent(),Ie=Be+Te,je=F(Ie);if(W(ge))if(je===null||J(ge)!==0){X(ge);return}else{const Ke=je.end-Be.length;if(Ke>0){const Je=Te.slice(0,Ke),Xe=Be+Je;if(ge.select(),ge.setTextContent(Xe),Ke===Te.length)Ae.remove();else{const ot=Te.slice(Ke);Ae.setTextContent(ot)}return}}else if(je===null||je.start<Be.length)return}for(;;){ke=F(Te);let Be=ke===null?"":Te.slice(ke.end);if(Te=Be,Be===""){const Ke=we.getNextSibling();if(S.$isTextNode(Ke)){Be=we.getTextContent()+Ke.getTextContent();const Je=F(Be);if(Je===null){W(Ke)?X(Ke):Ke.markDirty();return}else if(Je.start!==0)return}}else{const Ke=F(Be);if(Ke!==null&&Ke.start===0)return}if(ke===null)return;if(ke.start===0&&S.$isTextNode(ge)&&ge.isTextEntity())continue;let Ie;ke.start===0?[Ie,we]=we.splitText(ke.end):[,Ie,we]=we.splitText(ke.start,ke.end);const je=K(Ie);if(je.setFormat(Ie.getFormat()),Ie.replace(je),we==null)return}},pe=Ae=>{const ge=Ae.getTextContent(),Te=F(ge);if(Te===null||Te.start!==0){X(Ae);return}if(ge.length>Te.end){Ae.splitText(Te.end);return}const we=Ae.getPreviousSibling();S.$isTextNode(we)&&we.isTextEntity()&&(X(we),X(Ae));const ke=Ae.getNextSibling();S.$isTextNode(ke)&&ke.isTextEntity()&&(X(ke),W(Ae)&&X(Ae))},me=j.registerNodeTransform(S.TextNode,oe),xe=j.registerNodeTransform(V,pe);return[me,xe]}return LexicalText_dev.$canShowPlaceholder=N,LexicalText_dev.$canShowPlaceholderCurry=L,LexicalText_dev.$findTextIntersectionFromCharacters=C,LexicalText_dev.$isRootTextContentEmpty=R,LexicalText_dev.$isRootTextContentEmptyCurry=O,LexicalText_dev.$rootTextContent=I,LexicalText_dev.registerLexicalTextEntity=B,LexicalText_dev}var LexicalText_1,hasRequiredLexicalText;function requireLexicalText(){if(hasRequiredLexicalText)return LexicalText_1;hasRequiredLexicalText=1;var S={};return LexicalText_1=S.NODE_ENV==="development"?requireLexicalText_dev():requireLexicalText_prod(),LexicalText_1}var LexicalDragon_prod={},hasRequiredLexicalDragon_prod;function requireLexicalDragon_prod(){if(hasRequiredLexicalDragon_prod)return LexicalDragon_prod;hasRequiredLexicalDragon_prod=1;var S=Lexical_1;return LexicalDragon_prod.registerDragonSupport=function(C){let R=window.location.origin,O=I=>{if(I.origin===R){var N=C.getRootElement();if(document.activeElement===N&&(N=I.data,typeof N=="string")){try{var L=JSON.parse(N)}catch{return}if(L&&L.protocol==="nuanria_messaging"&&L.type==="request"&&(L=L.payload)&&L.functionId==="makeChanges"&&(L=L.args)){const[B,j,F,V,K]=L;C.update(()=>{const W=S.$getSelection();if(S.$isRangeSelection(W)){var X=W.anchor;let J=X.getNode(),oe=0,pe=0;S.$isTextNode(J)&&0<=B&&0<=j&&(oe=B,pe=B+j,W.setTextNodeRange(J,oe,J,pe)),(oe!==pe||F!=="")&&(W.insertRawText(F),J=X.getNode()),S.$isTextNode(J)&&(oe=V,pe=V+K,X=J.getTextContentSize(),oe=oe>X?X:oe,pe=pe>X?X:pe,W.setTextNodeRange(J,oe,J,pe)),I.stopImmediatePropagation()}})}}}};return window.addEventListener("message",O,!0),()=>{window.removeEventListener("message",O,!0)}},LexicalDragon_prod}var LexicalDragon_dev={},hasRequiredLexicalDragon_dev;function requireLexicalDragon_dev(){if(hasRequiredLexicalDragon_dev)return LexicalDragon_dev;hasRequiredLexicalDragon_dev=1;var S=Lexical_1;function C(R){const O=window.location.origin,I=N=>{if(N.origin!==O)return;const L=R.getRootElement();if(document.activeElement!==L)return;const B=N.data;if(typeof B=="string"){let j;try{j=JSON.parse(B)}catch{return}if(j&&j.protocol==="nuanria_messaging"&&j.type==="request"){const F=j.payload;if(F&&F.functionId==="makeChanges"){const V=F.args;if(V){const[K,W,X,J,oe,pe]=V;R.update(()=>{const me=S.$getSelection();if(S.$isRangeSelection(me)){const xe=me.anchor;let Ae=xe.getNode(),ge=0,Te=0;if(S.$isTextNode(Ae)&&K>=0&&W>=0&&(ge=K,Te=K+W,me.setTextNodeRange(Ae,ge,Ae,Te)),(ge!==Te||X!=="")&&(me.insertRawText(X),Ae=xe.getNode()),S.$isTextNode(Ae)){ge=J,Te=J+oe;const we=Ae.getTextContentSize();ge=ge>we?we:ge,Te=Te>we?we:Te,me.setTextNodeRange(Ae,ge,Ae,Te)}N.stopImmediatePropagation()}})}}}}};return window.addEventListener("message",I,!0),()=>{window.removeEventListener("message",I,!0)}}return LexicalDragon_dev.registerDragonSupport=C,LexicalDragon_dev}var LexicalDragon_1,hasRequiredLexicalDragon;function requireLexicalDragon(){if(hasRequiredLexicalDragon)return LexicalDragon_1;hasRequiredLexicalDragon=1;var S={};return LexicalDragon_1=S.NODE_ENV==="development"?requireLexicalDragon_dev():requireLexicalDragon_prod(),LexicalDragon_1}var LexicalRichText_prod={},LexicalClipboard_prod={},LexicalHtml_prod={},hasRequiredLexicalHtml_prod;function requireLexicalHtml_prod(){if(hasRequiredLexicalHtml_prod)return LexicalHtml_prod;hasRequiredLexicalHtml_prod=1;var S=requireLexicalSelection(),C=LexicalUtils_1,R=Lexical_1;function O(L,B,j,F=null){let V=F!==null?B.isSelected(F):!0,K=R.$isElementNode(B)&&B.excludeFromCopy("html");var W=B;F!==null&&(W=S.$cloneWithProperties(B),W=R.$isTextNode(W)&&F!==null?S.$sliceSelectedTextNodeContent(F,W):W);let X=R.$isElementNode(W)?W.getChildren():[];var J=L._nodes.get(W.getType());J=J&&J.exportDOM!==void 0?J.exportDOM(L,W):W.exportDOM(L);let{element:oe,after:pe}=J;if(!oe)return!1;J=document.createDocumentFragment();for(let me=0;me<X.length;me++){let xe=X[me],Ae=O(L,xe,J,F);!V&&R.$isElementNode(B)&&Ae&&B.extractWithChild(xe,F,"html")&&(V=!0)}return V&&!K?(C.isHTMLElement(oe)&&oe.append(J),j.append(oe),pe&&(L=pe.call(W,oe))&&oe.replaceWith(L)):j.append(J),V}let I=new Set(["STYLE","SCRIPT"]);function N(L,B,j=new Map,F){let V=[];if(I.has(L.nodeName))return V;let K=null;var W,{nodeName:X}=L,J=B._htmlConversions.get(X.toLowerCase());if(X=null,J!==void 0)for(W of J)J=W(L),J!==null&&(X===null||(X.priority||0)<(J.priority||0))&&(X=J);if(X=(W=X!==null?X.conversion:null)?W(L):null,W=null,X!==null){if(W=X.after,J=X.node,K=Array.isArray(J)?J[J.length-1]:J,K!==null){for(var[,oe]of j)if(K=oe(K,F),!K)break;K&&V.push(...Array.isArray(J)?J:[K])}X.forChild!=null&&j.set(L.nodeName,X.forChild)}for(L=L.childNodes,F=[],oe=0;oe<L.length;oe++)F.push(...N(L[oe],B,new Map(j),K));return W!=null&&(F=W(F)),K==null?V=V.concat(F):R.$isElementNode(K)&&K.append(...F),V}return LexicalHtml_prod.$generateHtmlFromNodes=function(L,B){if(typeof document>"u"||typeof window>"u"&&typeof commonjsGlobal.window>"u")throw Error("To use $generateHtmlFromNodes in headless mode please initialize a headless browser implementation such as JSDom before calling this function.");let j=document.createElement("div"),F=R.$getRoot().getChildren();for(let V=0;V<F.length;V++)O(L,F[V],j,B);return j.innerHTML},LexicalHtml_prod.$generateNodesFromDOM=function(L,B){B=B.body?B.body.childNodes:[];let j=[];for(let V=0;V<B.length;V++){var F=B[V];I.has(F.nodeName)||(F=N(F,L),F!==null&&(j=j.concat(F)))}return j},LexicalHtml_prod}var LexicalHtml_dev={},hasRequiredLexicalHtml_dev;function requireLexicalHtml_dev(){if(hasRequiredLexicalHtml_dev)return LexicalHtml_dev;hasRequiredLexicalHtml_dev=1;var S=requireLexicalSelection(),C=LexicalUtils_1,R=Lexical_1;function O(F,V){const K=V.body?V.body.childNodes:[];let W=[];for(let X=0;X<K.length;X++){const J=K[X];if(!B.has(J.nodeName)){const oe=j(J,F);oe!==null&&(W=W.concat(oe))}}return W}function I(F,V){if(typeof document>"u"||typeof window>"u"&&typeof commonjsGlobal.window>"u")throw new Error("To use $generateHtmlFromNodes in headless mode please initialize a headless browser implementation such as JSDom before calling this function.");const K=document.createElement("div"),X=R.$getRoot().getChildren();for(let J=0;J<X.length;J++){const oe=X[J];N(F,oe,K,V)}return K.innerHTML}function N(F,V,K,W=null){let X=W!==null?V.isSelected(W):!0;const J=R.$isElementNode(V)&&V.excludeFromCopy("html");let oe=V;if(W!==null){let we=S.$cloneWithProperties(V);we=R.$isTextNode(we)&&W!==null?S.$sliceSelectedTextNodeContent(W,we):we,oe=we}const pe=R.$isElementNode(oe)?oe.getChildren():[],me=F._nodes.get(oe.getType());let xe;me&&me.exportDOM!==void 0?xe=me.exportDOM(F,oe):xe=oe.exportDOM(F);const{element:Ae,after:ge}=xe;if(!Ae)return!1;const Te=document.createDocumentFragment();for(let we=0;we<pe.length;we++){const ke=pe[we],Be=N(F,ke,Te,W);!X&&R.$isElementNode(V)&&Be&&V.extractWithChild(ke,W,"html")&&(X=!0)}if(X&&!J){if(C.isHTMLElement(Ae)&&Ae.append(Te),K.append(Ae),ge){const we=ge.call(oe,Ae);we&&Ae.replaceWith(we)}}else K.append(Te);return X}function L(F,V){const{nodeName:K}=F,W=V._htmlConversions.get(K.toLowerCase());let X=null;if(W!==void 0)for(const J of W){const oe=J(F);oe!==null&&(X===null||(X.priority||0)<(oe.priority||0))&&(X=oe)}return X!==null?X.conversion:null}const B=new Set(["STYLE","SCRIPT"]);function j(F,V,K=new Map,W){let X=[];if(B.has(F.nodeName))return X;let J=null;const oe=L(F,V),pe=oe?oe(F):null;let me=null;if(pe!==null){me=pe.after;const ge=pe.node;if(J=Array.isArray(ge)?ge[ge.length-1]:ge,J!==null){for(const[,Te]of K)if(J=Te(J,W),!J)break;J&&X.push(...Array.isArray(ge)?ge:[J])}pe.forChild!=null&&K.set(F.nodeName,pe.forChild)}const xe=F.childNodes;let Ae=[];for(let ge=0;ge<xe.length;ge++)Ae.push(...j(xe[ge],V,new Map(K),J));return me!=null&&(Ae=me(Ae)),J==null?X=X.concat(Ae):R.$isElementNode(J)&&J.append(...Ae),X}return LexicalHtml_dev.$generateHtmlFromNodes=I,LexicalHtml_dev.$generateNodesFromDOM=O,LexicalHtml_dev}var LexicalHtml_1,hasRequiredLexicalHtml;function requireLexicalHtml(){if(hasRequiredLexicalHtml)return LexicalHtml_1;hasRequiredLexicalHtml=1;var S={};return LexicalHtml_1=S.NODE_ENV==="development"?requireLexicalHtml_dev():requireLexicalHtml_prod(),LexicalHtml_1}var hasRequiredLexicalClipboard_prod;function requireLexicalClipboard_prod(){if(hasRequiredLexicalClipboard_prod)return LexicalClipboard_prod;hasRequiredLexicalClipboard_prod=1;var S=requireLexicalHtml(),C=requireLexicalSelection(),R=LexicalUtils_1,O=Lexical_1;function I(J){let oe=new URLSearchParams;oe.append("code",J);for(let pe=1;pe<arguments.length;pe++)oe.append("v",arguments[pe]);throw Error(`Minified Lexical error #${J}; visit https://lexical.dev/docs/error?${oe} for the full message or use the non-minified dev environment for full errors and additional helpful warnings.`)}let N=typeof window<"u"&&typeof window.document<"u"&&typeof window.document.createElement<"u";function L(J){let oe=O.$getSelection();if(oe==null)throw Error("Expected valid LexicalSelection");return O.$isRangeSelection(oe)&&oe.isCollapsed()||oe.getNodes().length===0?"":S.$generateHtmlFromNodes(J,oe)}function B(J){let oe=O.$getSelection();if(oe==null)throw Error("Expected valid LexicalSelection");return O.$isRangeSelection(oe)&&oe.isCollapsed()||oe.getNodes().length===0?null:JSON.stringify(V(J,oe))}function j(J,oe,pe){J.dispatchCommand(O.SELECTION_INSERT_CLIPBOARD_NODES_COMMAND,{nodes:oe,selection:pe})||pe.insertNodes(oe)}function F(J,oe,pe,me=[]){let xe=oe!==null?pe.isSelected(oe):!0,Ae=O.$isElementNode(pe)&&pe.excludeFromCopy("html");var ge=pe;if(oe!==null){var Te=C.$cloneWithProperties(pe);ge=Te=O.$isTextNode(Te)&&oe!==null?C.$sliceSelectedTextNodeContent(oe,Te):Te}let we=O.$isElementNode(ge)?ge.getChildren():[];var ke=ge;Te=ke.exportJSON();var Be=ke.constructor;for(Te.type!==Be.getType()&&I(58,Be.name),O.$isElementNode(ke)&&(Array.isArray(Te.children)||I(59,Be.name)),O.$isTextNode(ge)&&(ge=ge.__text,0<ge.length?Te.text=ge:xe=!1),ge=0;ge<we.length;ge++)ke=we[ge],Be=F(J,oe,ke,Te.children),!xe&&O.$isElementNode(pe)&&Be&&pe.extractWithChild(ke,oe,"clone")&&(xe=!0);if(xe&&!Ae)me.push(Te);else if(Array.isArray(Te.children))for(J=0;J<Te.children.length;J++)me.push(Te.children[J]);return xe}function V(J,oe){let pe=[],me=O.$getRoot().getChildren();for(let xe=0;xe<me.length;xe++)F(J,oe,me[xe],pe);return{namespace:J._config.namespace,nodes:pe}}function K(J){let oe=[];for(let pe=0;pe<J.length;pe++){let me=O.$parseSerializedNode(J[pe]);O.$isTextNode(me)&&C.$addNodeStyle(me),oe.push(me)}return oe}let W=null;function X(J,oe){var pe=N?(J._window||window).getSelection():null;if(!pe)return!1;var me=pe.anchorNode;if(pe=pe.focusNode,me!==null&&pe!==null&&!O.isSelectionWithinEditor(J,me,pe)||(oe.preventDefault(),oe=oe.clipboardData,me=O.$getSelection(),oe===null||me===null))return!1;pe=L(J),J=B(J);let xe="";return me!==null&&(xe=me.getTextContent()),pe!==null&&oe.setData("text/html",pe),J!==null&&oe.setData("application/x-lexical-editor",J),oe.setData("text/plain",xe),!0}return LexicalClipboard_prod.$generateJSONFromSelectedNodes=V,LexicalClipboard_prod.$generateNodesFromSerializedNodes=K,LexicalClipboard_prod.$getHtmlContent=L,LexicalClipboard_prod.$getLexicalContent=B,LexicalClipboard_prod.$insertDataTransferForPlainText=function(J,oe){J=J.getData("text/plain")||J.getData("text/uri-list"),J!=null&&oe.insertRawText(J)},LexicalClipboard_prod.$insertDataTransferForRichText=function(J,oe,pe){var me=J.getData("application/x-lexical-editor");if(me)try{let Ae=JSON.parse(me);if(Ae.namespace===pe._config.namespace&&Array.isArray(Ae.nodes)){let ge=K(Ae.nodes);return j(pe,ge,oe)}}catch{}if(me=J.getData("text/html"))try{var xe=new DOMParser().parseFromString(me,"text/html");let Ae=S.$generateNodesFromDOM(pe,xe);return j(pe,Ae,oe)}catch{}if(J=J.getData("text/plain")||J.getData("text/uri-list"),J!=null)if(O.$isRangeSelection(oe))for(J=J.split(/(\r?\n|\t)/),J[J.length-1]===""&&J.pop(),pe=0;pe<J.length;pe++)xe=J[pe],xe===`
-`||xe===`\r
-`?oe.insertParagraph():xe==="	"?oe.insertNodes([O.$createTabNode()]):oe.insertText(xe);else oe.insertRawText(J)},LexicalClipboard_prod.$insertGeneratedNodes=j,LexicalClipboard_prod.copyToClipboard=async function(J,oe){if(W!==null)return!1;if(oe!==null)return new Promise(ge=>{J.update(()=>{ge(X(J,oe))})});var pe=J.getRootElement();let me=J._window==null?window.document:J._window.document,xe=N?(J._window||window).getSelection():null;if(pe===null||xe===null)return!1;let Ae=me.createElement("span");return Ae.style.cssText="position: fixed; top: -1000px;",Ae.append(me.createTextNode("#")),pe.append(Ae),pe=new Range,pe.setStart(Ae,0),pe.setEnd(Ae,1),xe.removeAllRanges(),xe.addRange(pe),new Promise(ge=>{let Te=J.registerCommand(O.COPY_COMMAND,we=>(R.objectKlassEquals(we,ClipboardEvent)&&(Te(),W!==null&&(window.clearTimeout(W),W=null),ge(X(J,we))),!0),O.COMMAND_PRIORITY_CRITICAL);W=window.setTimeout(()=>{Te(),W=null,ge(!1)},50),me.execCommand("copy"),Ae.remove()})},LexicalClipboard_prod}var LexicalClipboard_dev={},hasRequiredLexicalClipboard_dev;function requireLexicalClipboard_dev(){if(hasRequiredLexicalClipboard_dev)return LexicalClipboard_dev;hasRequiredLexicalClipboard_dev=1;var S=requireLexicalHtml(),C=requireLexicalSelection(),R=LexicalUtils_1,O=Lexical_1;const I=typeof window<"u"&&typeof window.document<"u"&&typeof window.document.createElement<"u",N=Ae=>I?(Ae||window).getSelection():null;function L(Ae){const ge=O.$getSelection();if(ge==null)throw Error("Expected valid LexicalSelection");return O.$isRangeSelection(ge)&&ge.isCollapsed()||ge.getNodes().length===0?"":S.$generateHtmlFromNodes(Ae,ge)}function B(Ae){const ge=O.$getSelection();if(ge==null)throw Error("Expected valid LexicalSelection");return O.$isRangeSelection(ge)&&ge.isCollapsed()||ge.getNodes().length===0?null:JSON.stringify(X(Ae,ge))}function j(Ae,ge){const Te=Ae.getData("text/plain")||Ae.getData("text/uri-list");Te!=null&&ge.insertRawText(Te)}function F(Ae,ge,Te){const we=Ae.getData("application/x-lexical-editor");if(we)try{const Ie=JSON.parse(we);if(Ie.namespace===Te._config.namespace&&Array.isArray(Ie.nodes)){const je=J(Ie.nodes);return V(Te,je,ge)}}catch{}const ke=Ae.getData("text/html");if(ke)try{const je=new DOMParser().parseFromString(ke,"text/html"),Ke=S.$generateNodesFromDOM(Te,je);return V(Te,Ke,ge)}catch{}const Be=Ae.getData("text/plain")||Ae.getData("text/uri-list");if(Be!=null)if(O.$isRangeSelection(ge)){const Ie=Be.split(/(\r?\n|\t)/);Ie[Ie.length-1]===""&&Ie.pop();for(let je=0;je<Ie.length;je++){const Ke=Ie[je];Ke===`
-`||Ke===`\r
-`?ge.insertParagraph():Ke==="	"?ge.insertNodes([O.$createTabNode()]):ge.insertText(Ke)}}else ge.insertRawText(Be)}function V(Ae,ge,Te){Ae.dispatchCommand(O.SELECTION_INSERT_CLIPBOARD_NODES_COMMAND,{nodes:ge,selection:Te})||Te.insertNodes(ge)}function K(Ae){const ge=Ae.exportJSON(),Te=Ae.constructor;if(ge.type!==Te.getType())throw Error(`LexicalNode: Node ${Te.name} does not implement .exportJSON().`);if(O.$isElementNode(Ae)){const we=ge.children;if(!Array.isArray(we))throw Error(`LexicalNode: Node ${Te.name} is an element but .exportJSON() does not have a children array.`)}return ge}function W(Ae,ge,Te,we=[]){let ke=ge!==null?Te.isSelected(ge):!0;const Be=O.$isElementNode(Te)&&Te.excludeFromCopy("html");let Ie=Te;if(ge!==null){let Je=C.$cloneWithProperties(Te);Je=O.$isTextNode(Je)&&ge!==null?C.$sliceSelectedTextNodeContent(ge,Je):Je,Ie=Je}const je=O.$isElementNode(Ie)?Ie.getChildren():[],Ke=K(Ie);if(O.$isTextNode(Ie)){const Je=Ie.__text;Je.length>0?Ke.text=Je:ke=!1}for(let Je=0;Je<je.length;Je++){const Xe=je[Je],ot=W(Ae,ge,Xe,Ke.children);!ke&&O.$isElementNode(Te)&&ot&&Te.extractWithChild(Xe,ge,"clone")&&(ke=!0)}if(ke&&!Be)we.push(Ke);else if(Array.isArray(Ke.children))for(let Je=0;Je<Ke.children.length;Je++){const Xe=Ke.children[Je];we.push(Xe)}return ke}function X(Ae,ge){const Te=[],ke=O.$getRoot().getChildren();for(let Be=0;Be<ke.length;Be++){const Ie=ke[Be];W(Ae,ge,Ie,Te)}return{namespace:Ae._config.namespace,nodes:Te}}function J(Ae){const ge=[];for(let Te=0;Te<Ae.length;Te++){const we=Ae[Te],ke=O.$parseSerializedNode(we);O.$isTextNode(ke)&&C.$addNodeStyle(ke),ge.push(ke)}return ge}const oe=50;let pe=null;async function me(Ae,ge){if(pe!==null)return!1;if(ge!==null)return new Promise((je,Ke)=>{Ae.update(()=>{je(xe(Ae,ge))})});const Te=Ae.getRootElement(),we=Ae._window==null?window.document:Ae._window.document,ke=N(Ae._window);if(Te===null||ke===null)return!1;const Be=we.createElement("span");Be.style.cssText="position: fixed; top: -1000px;",Be.append(we.createTextNode("#")),Te.append(Be);const Ie=new Range;return Ie.setStart(Be,0),Ie.setEnd(Be,1),ke.removeAllRanges(),ke.addRange(Ie),new Promise((je,Ke)=>{const Je=Ae.registerCommand(O.COPY_COMMAND,Xe=>(R.objectKlassEquals(Xe,ClipboardEvent)&&(Je(),pe!==null&&(window.clearTimeout(pe),pe=null),je(xe(Ae,Xe))),!0),O.COMMAND_PRIORITY_CRITICAL);pe=window.setTimeout(()=>{Je(),pe=null,je(!1)},oe),we.execCommand("copy"),Be.remove()})}function xe(Ae,ge){const Te=N(Ae._window);if(!Te)return!1;const we=Te.anchorNode,ke=Te.focusNode;if(we!==null&&ke!==null&&!O.isSelectionWithinEditor(Ae,we,ke))return!1;ge.preventDefault();const Be=ge.clipboardData,Ie=O.$getSelection();if(Be===null||Ie===null)return!1;const je=L(Ae),Ke=B(Ae);let Je="";return Ie!==null&&(Je=Ie.getTextContent()),je!==null&&Be.setData("text/html",je),Ke!==null&&Be.setData("application/x-lexical-editor",Ke),Be.setData("text/plain",Je),!0}return LexicalClipboard_dev.$generateJSONFromSelectedNodes=X,LexicalClipboard_dev.$generateNodesFromSerializedNodes=J,LexicalClipboard_dev.$getHtmlContent=L,LexicalClipboard_dev.$getLexicalContent=B,LexicalClipboard_dev.$insertDataTransferForPlainText=j,LexicalClipboard_dev.$insertDataTransferForRichText=F,LexicalClipboard_dev.$insertGeneratedNodes=V,LexicalClipboard_dev.copyToClipboard=me,LexicalClipboard_dev}var LexicalClipboard_1,hasRequiredLexicalClipboard;function requireLexicalClipboard(){if(hasRequiredLexicalClipboard)return LexicalClipboard_1;hasRequiredLexicalClipboard=1;var S={};return LexicalClipboard_1=S.NODE_ENV==="development"?requireLexicalClipboard_dev():requireLexicalClipboard_prod(),LexicalClipboard_1}var hasRequiredLexicalRichText_prod;function requireLexicalRichText_prod(){if(hasRequiredLexicalRichText_prod)return LexicalRichText_prod;hasRequiredLexicalRichText_prod=1;var S=requireLexicalClipboard(),C=requireLexicalSelection(),R=LexicalUtils_1,O=Lexical_1;function I(Ie,je){return typeof document.caretRangeFromPoint<"u"?(Ie=document.caretRangeFromPoint(Ie,je),Ie===null?null:{node:Ie.startContainer,offset:Ie.startOffset}):document.caretPositionFromPoint!=="undefined"?(Ie=document.caretPositionFromPoint(Ie,je),Ie===null?null:{node:Ie.offsetNode,offset:Ie.offset}):null}let N=typeof window<"u"&&typeof window.document<"u"&&typeof window.document.createElement<"u",L=N&&"documentMode"in document?document.documentMode:null,B=N&&"InputEvent"in window&&!L?"getTargetRanges"in new window.InputEvent("input"):!1,j=N&&/Version\/[\d.]+.*Safari/.test(navigator.userAgent),F=N&&/iPad|iPhone|iPod/.test(navigator.userAgent)&&!window.MSStream,V=N&&/^(?=.*Chrome).*/i.test(navigator.userAgent),K=N&&/AppleWebKit\/[\d.]+/.test(navigator.userAgent)&&!V,W=O.createCommand("DRAG_DROP_PASTE_FILE");class X extends O.ElementNode{static getType(){return"quote"}static clone(je){return new X(je.__key)}constructor(je){super(je)}createDOM(je){let Ke=document.createElement("blockquote");return R.addClassNamesToElement(Ke,je.theme.quote),Ke}updateDOM(){return!1}static importDOM(){return{blockquote:()=>({conversion:xe,priority:0})}}exportDOM(je){if({element:je}=super.exportDOM(je),je&&R.isHTMLElement(je)){this.isEmpty()&&je.append(document.createElement("br"));var Ke=this.getFormatType();je.style.textAlign=Ke,(Ke=this.getDirection())&&(je.dir=Ke)}return{element:je}}static importJSON(je){let Ke=J();return Ke.setFormat(je.format),Ke.setIndent(je.indent),Ke.setDirection(je.direction),Ke}exportJSON(){return{...super.exportJSON(),type:"quote"}}insertNewAfter(je,Ke){je=O.$createParagraphNode();let Je=this.getDirection();return je.setDirection(Je),this.insertAfter(je,Ke),je}collapseAtStart(){let je=O.$createParagraphNode();return this.getChildren().forEach(Ke=>je.append(Ke)),this.replace(je),!0}}function J(){return O.$applyNodeReplacement(new X)}class oe extends O.ElementNode{static getType(){return"heading"}static clone(je){return new oe(je.__tag,je.__key)}constructor(je,Ke){super(Ke),this.__tag=je}getTag(){return this.__tag}createDOM(je){let Ke=this.__tag,Je=document.createElement(Ke);return je=je.theme.heading,je!==void 0&&R.addClassNamesToElement(Je,je[Ke]),Je}updateDOM(){return!1}static importDOM(){return{h1:()=>({conversion:me,priority:0}),h2:()=>({conversion:me,priority:0}),h3:()=>({conversion:me,priority:0}),h4:()=>({conversion:me,priority:0}),h5:()=>({conversion:me,priority:0}),h6:()=>({conversion:me,priority:0}),p:je=>(je=je.firstChild,je!==null&&pe(je)?{conversion:()=>({node:null}),priority:3}:null),span:je=>pe(je)?{conversion:()=>({node:Ae("h1")}),priority:3}:null}}exportDOM(je){if({element:je}=super.exportDOM(je),je&&R.isHTMLElement(je)){this.isEmpty()&&je.append(document.createElement("br"));var Ke=this.getFormatType();je.style.textAlign=Ke,(Ke=this.getDirection())&&(je.dir=Ke)}return{element:je}}static importJSON(je){let Ke=Ae(je.tag);return Ke.setFormat(je.format),Ke.setIndent(je.indent),Ke.setDirection(je.direction),Ke}exportJSON(){return{...super.exportJSON(),tag:this.getTag(),type:"heading",version:1}}insertNewAfter(je,Ke=!0){let Je=je?je.anchor.offset:0,Xe=Je!==this.getTextContentSize()&&je?Ae(this.getTag()):O.$createParagraphNode(),ot=this.getDirection();return Xe.setDirection(ot),this.insertAfter(Xe,Ke),Je===0&&!this.isEmpty()&&je&&(je=O.$createParagraphNode(),je.select(),this.replace(je,!0)),Xe}collapseAtStart(){let je=this.isEmpty()?O.$createParagraphNode():Ae(this.getTag());return this.getChildren().forEach(Ke=>je.append(Ke)),this.replace(je),!0}extractWithChild(){return!0}}function pe(Ie){return Ie.nodeName.toLowerCase()==="span"?Ie.style.fontSize==="26pt":!1}function me(Ie){let je=Ie.nodeName.toLowerCase(),Ke=null;return(je==="h1"||je==="h2"||je==="h3"||je==="h4"||je==="h5"||je==="h6")&&(Ke=Ae(je),Ie.style!==null&&Ke.setFormat(Ie.style.textAlign)),{node:Ke}}function xe(Ie){let je=J();return Ie.style!==null&&je.setFormat(Ie.style.textAlign),{node:je}}function Ae(Ie){return O.$applyNodeReplacement(new oe(Ie))}function ge(Ie,je){Ie.preventDefault(),je.update(()=>{let Ke=O.$getSelection(),Je=Ie instanceof InputEvent||Ie instanceof KeyboardEvent?null:Ie.clipboardData;Je!=null&&Ke!==null&&S.$insertDataTransferForRichText(Je,Ke,je)},{tag:"paste"})}async function Te(Ie,je){await S.copyToClipboard(je,R.objectKlassEquals(Ie,ClipboardEvent)?Ie:null),je.update(()=>{let Ke=O.$getSelection();O.$isRangeSelection(Ke)?Ke.removeText():O.$isNodeSelection(Ke)&&Ke.getNodes().forEach(Je=>Je.remove())})}function we(Ie){let je=null;if(Ie instanceof DragEvent?je=Ie.dataTransfer:Ie instanceof ClipboardEvent&&(je=Ie.clipboardData),je===null)return[!1,[],!1];var Ke=je.types;return Ie=Ke.includes("Files"),Ke=Ke.includes("text/html")||Ke.includes("text/plain"),[Ie,Array.from(je.files),Ke]}function ke(Ie){var je=O.$getSelection();if(!O.$isRangeSelection(je))return!1;let Ke=new Set;je=je.getNodes();for(let ot=0;ot<je.length;ot++){var Je=je[ot],Xe=Je.getKey();Ke.has(Xe)||(Je=R.$getNearestBlockElementAncestorOrThrow(Je),Xe=Je.getKey(),Je.canIndent()&&!Ke.has(Xe)&&(Ke.add(Xe),Ie(Je)))}return 0<Ke.size}function Be(Ie){return Ie=O.$getNearestNodeFromDOMNode(Ie),O.$isDecoratorNode(Ie)}return LexicalRichText_prod.$createHeadingNode=Ae,LexicalRichText_prod.$createQuoteNode=J,LexicalRichText_prod.$isHeadingNode=function(Ie){return Ie instanceof oe},LexicalRichText_prod.$isQuoteNode=function(Ie){return Ie instanceof X},LexicalRichText_prod.DRAG_DROP_PASTE=W,LexicalRichText_prod.HeadingNode=oe,LexicalRichText_prod.QuoteNode=X,LexicalRichText_prod.eventFiles=we,LexicalRichText_prod.registerRichText=function(Ie){return R.mergeRegister(Ie.registerCommand(O.CLICK_COMMAND,()=>{const je=O.$getSelection();return O.$isNodeSelection(je)?(je.clear(),!0):!1},0),Ie.registerCommand(O.DELETE_CHARACTER_COMMAND,je=>{const Ke=O.$getSelection();return O.$isRangeSelection(Ke)?(Ke.deleteCharacter(je),!0):!1},O.COMMAND_PRIORITY_EDITOR),Ie.registerCommand(O.DELETE_WORD_COMMAND,je=>{const Ke=O.$getSelection();return O.$isRangeSelection(Ke)?(Ke.deleteWord(je),!0):!1},O.COMMAND_PRIORITY_EDITOR),Ie.registerCommand(O.DELETE_LINE_COMMAND,je=>{const Ke=O.$getSelection();return O.$isRangeSelection(Ke)?(Ke.deleteLine(je),!0):!1},O.COMMAND_PRIORITY_EDITOR),Ie.registerCommand(O.CONTROLLED_TEXT_INSERTION_COMMAND,je=>{const Ke=O.$getSelection();if(typeof je=="string")Ke!==null&&Ke.insertText(je);else{if(Ke===null)return!1;const Je=je.dataTransfer;Je!=null?S.$insertDataTransferForRichText(Je,Ke,Ie):O.$isRangeSelection(Ke)&&(je=je.data)&&Ke.insertText(je)}return!0},O.COMMAND_PRIORITY_EDITOR),Ie.registerCommand(O.REMOVE_TEXT_COMMAND,()=>{const je=O.$getSelection();return O.$isRangeSelection(je)?(je.removeText(),!0):!1},O.COMMAND_PRIORITY_EDITOR),Ie.registerCommand(O.FORMAT_TEXT_COMMAND,je=>{const Ke=O.$getSelection();return O.$isRangeSelection(Ke)?(Ke.formatText(je),!0):!1},O.COMMAND_PRIORITY_EDITOR),Ie.registerCommand(O.FORMAT_ELEMENT_COMMAND,je=>{var Ke=O.$getSelection();if(!O.$isRangeSelection(Ke)&&!O.$isNodeSelection(Ke))return!1;Ke=Ke.getNodes();for(const Je of Ke)Ke=R.$findMatchingParent(Je,Xe=>O.$isElementNode(Xe)&&!Xe.isInline()),Ke!==null&&Ke.setFormat(je);return!0},O.COMMAND_PRIORITY_EDITOR),Ie.registerCommand(O.INSERT_LINE_BREAK_COMMAND,je=>{const Ke=O.$getSelection();return O.$isRangeSelection(Ke)?(Ke.insertLineBreak(je),!0):!1},O.COMMAND_PRIORITY_EDITOR),Ie.registerCommand(O.INSERT_PARAGRAPH_COMMAND,()=>{const je=O.$getSelection();return O.$isRangeSelection(je)?(je.insertParagraph(),!0):!1},O.COMMAND_PRIORITY_EDITOR),Ie.registerCommand(O.INSERT_TAB_COMMAND,()=>(O.$insertNodes([O.$createTabNode()]),!0),O.COMMAND_PRIORITY_EDITOR),Ie.registerCommand(O.INDENT_CONTENT_COMMAND,()=>ke(je=>{const Ke=je.getIndent();je.setIndent(Ke+1)}),O.COMMAND_PRIORITY_EDITOR),Ie.registerCommand(O.OUTDENT_CONTENT_COMMAND,()=>ke(je=>{const Ke=je.getIndent();0<Ke&&je.setIndent(Ke-1)}),O.COMMAND_PRIORITY_EDITOR),Ie.registerCommand(O.KEY_ARROW_UP_COMMAND,je=>{var Ke=O.$getSelection();if(O.$isNodeSelection(Ke)&&!Be(je.target)){if(je=Ke.getNodes(),0<je.length)return je[0].selectPrevious(),!0}else if(O.$isRangeSelection(Ke)&&(Ke=O.$getAdjacentNode(Ke.focus,!0),!je.shiftKey&&O.$isDecoratorNode(Ke)&&!Ke.isIsolated()&&!Ke.isInline()))return Ke.selectPrevious(),je.preventDefault(),!0;return!1},O.COMMAND_PRIORITY_EDITOR),Ie.registerCommand(O.KEY_ARROW_DOWN_COMMAND,je=>{var Ke=O.$getSelection();if(O.$isNodeSelection(Ke)){if(je=Ke.getNodes(),0<je.length)return je[0].selectNext(0,0),!0}else if(O.$isRangeSelection(Ke)){let Je=Ke.focus;if(Je.key==="root"&&Je.offset===O.$getRoot().getChildrenSize())return je.preventDefault(),!0;if(Ke=O.$getAdjacentNode(Ke.focus,!1),!je.shiftKey&&O.$isDecoratorNode(Ke)&&!Ke.isIsolated()&&!Ke.isInline())return Ke.selectNext(),je.preventDefault(),!0}return!1},O.COMMAND_PRIORITY_EDITOR),Ie.registerCommand(O.KEY_ARROW_LEFT_COMMAND,je=>{const Ke=O.$getSelection();if(O.$isNodeSelection(Ke)){var Je=Ke.getNodes();if(0<Je.length)return je.preventDefault(),Je[0].selectPrevious(),!0}return O.$isRangeSelection(Ke)&&C.$shouldOverrideDefaultCharacterSelection(Ke,!0)?(Je=je.shiftKey,je.preventDefault(),C.$moveCharacter(Ke,Je,!0),!0):!1},O.COMMAND_PRIORITY_EDITOR),Ie.registerCommand(O.KEY_ARROW_RIGHT_COMMAND,je=>{const Ke=O.$getSelection();if(O.$isNodeSelection(Ke)&&!Be(je.target)){var Je=Ke.getNodes();if(0<Je.length)return je.preventDefault(),Je[0].selectNext(0,0),!0}return O.$isRangeSelection(Ke)?(Je=je.shiftKey,C.$shouldOverrideDefaultCharacterSelection(Ke,!1)?(je.preventDefault(),C.$moveCharacter(Ke,Je,!1),!0):!1):!1},O.COMMAND_PRIORITY_EDITOR),Ie.registerCommand(O.KEY_BACKSPACE_COMMAND,je=>{if(Be(je.target))return!1;const Ke=O.$getSelection();if(!O.$isRangeSelection(Ke))return!1;je.preventDefault(),{anchor:je}=Ke;const Je=je.getNode();return Ke.isCollapsed()&&je.offset===0&&!O.$isRootNode(Je)&&0<R.$getNearestBlockElementAncestorOrThrow(Je).getIndent()?Ie.dispatchCommand(O.OUTDENT_CONTENT_COMMAND,void 0):Ie.dispatchCommand(O.DELETE_CHARACTER_COMMAND,!0)},O.COMMAND_PRIORITY_EDITOR),Ie.registerCommand(O.KEY_DELETE_COMMAND,je=>{if(Be(je.target))return!1;const Ke=O.$getSelection();return O.$isRangeSelection(Ke)?(je.preventDefault(),Ie.dispatchCommand(O.DELETE_CHARACTER_COMMAND,!1)):!1},O.COMMAND_PRIORITY_EDITOR),Ie.registerCommand(O.KEY_ENTER_COMMAND,je=>{const Ke=O.$getSelection();if(!O.$isRangeSelection(Ke))return!1;if(je!==null){if((F||j||K)&&B)return!1;if(je.preventDefault(),je.shiftKey)return Ie.dispatchCommand(O.INSERT_LINE_BREAK_COMMAND,!1)}return Ie.dispatchCommand(O.INSERT_PARAGRAPH_COMMAND,void 0)},O.COMMAND_PRIORITY_EDITOR),Ie.registerCommand(O.KEY_ESCAPE_COMMAND,()=>{const je=O.$getSelection();return O.$isRangeSelection(je)?(Ie.blur(),!0):!1},O.COMMAND_PRIORITY_EDITOR),Ie.registerCommand(O.DROP_COMMAND,je=>{const[,Ke]=we(je);if(0<Ke.length){var Je=I(je.clientX,je.clientY);if(Je!==null){const{offset:ot,node:tt}=Je;var Xe=O.$getNearestNodeFromDOMNode(tt);if(Xe!==null){if(Je=O.$createRangeSelection(),O.$isTextNode(Xe))Je.anchor.set(Xe.getKey(),ot,"text"),Je.focus.set(Xe.getKey(),ot,"text");else{const Ue=Xe.getParentOrThrow().getKey();Xe=Xe.getIndexWithinParent()+1,Je.anchor.set(Ue,Xe,"element"),Je.focus.set(Ue,Xe,"element")}Je=O.$normalizeSelection__EXPERIMENTAL(Je),O.$setSelection(Je)}Ie.dispatchCommand(W,Ke)}return je.preventDefault(),!0}return je=O.$getSelection(),!!O.$isRangeSelection(je)},O.COMMAND_PRIORITY_EDITOR),Ie.registerCommand(O.DRAGSTART_COMMAND,je=>{[je]=we(je);const Ke=O.$getSelection();return!(je&&!O.$isRangeSelection(Ke))},O.COMMAND_PRIORITY_EDITOR),Ie.registerCommand(O.DRAGOVER_COMMAND,je=>{var[Ke]=we(je);const Je=O.$getSelection();return Ke&&!O.$isRangeSelection(Je)?!1:(Ke=I(je.clientX,je.clientY),Ke!==null&&(Ke=O.$getNearestNodeFromDOMNode(Ke.node),O.$isDecoratorNode(Ke)&&je.preventDefault()),!0)},O.COMMAND_PRIORITY_EDITOR),Ie.registerCommand(O.SELECT_ALL_COMMAND,()=>(O.$selectAll(),!0),O.COMMAND_PRIORITY_EDITOR),Ie.registerCommand(O.COPY_COMMAND,je=>(S.copyToClipboard(Ie,R.objectKlassEquals(je,ClipboardEvent)?je:null),!0),O.COMMAND_PRIORITY_EDITOR),Ie.registerCommand(O.CUT_COMMAND,je=>(Te(je,Ie),!0),O.COMMAND_PRIORITY_EDITOR),Ie.registerCommand(O.PASTE_COMMAND,je=>{const[,Ke,Je]=we(je);return 0<Ke.length&&!Je?(Ie.dispatchCommand(W,Ke),!0):O.isSelectionCapturedInDecoratorInput(je.target)?!1:O.$getSelection()!==null?(ge(je,Ie),!0):!1},O.COMMAND_PRIORITY_EDITOR))},LexicalRichText_prod}var LexicalRichText_dev={},hasRequiredLexicalRichText_dev;function requireLexicalRichText_dev(){if(hasRequiredLexicalRichText_dev)return LexicalRichText_dev;hasRequiredLexicalRichText_dev=1;var S=requireLexicalClipboard(),C=requireLexicalSelection(),R=LexicalUtils_1,O=Lexical_1;function I(Xe,ot){if(typeof document.caretRangeFromPoint<"u"){const tt=document.caretRangeFromPoint(Xe,ot);return tt===null?null:{node:tt.startContainer,offset:tt.startOffset}}else if(document.caretPositionFromPoint!=="undefined"){const tt=document.caretPositionFromPoint(Xe,ot);return tt===null?null:{node:tt.offsetNode,offset:tt.offset}}else return null}const N=typeof window<"u"&&typeof window.document<"u"&&typeof window.document.createElement<"u",L=N&&"documentMode"in document?document.documentMode:null,B=N&&"InputEvent"in window&&!L?"getTargetRanges"in new window.InputEvent("input"):!1,j=N&&/Version\/[\d.]+.*Safari/.test(navigator.userAgent),F=N&&/iPad|iPhone|iPod/.test(navigator.userAgent)&&!window.MSStream,V=N&&/^(?=.*Chrome).*/i.test(navigator.userAgent),K=N&&/AppleWebKit\/[\d.]+/.test(navigator.userAgent)&&!V,W=O.createCommand("DRAG_DROP_PASTE_FILE");class X extends O.ElementNode{static getType(){return"quote"}static clone(ot){return new X(ot.__key)}constructor(ot){super(ot)}createDOM(ot){const tt=document.createElement("blockquote");return R.addClassNamesToElement(tt,ot.theme.quote),tt}updateDOM(ot,tt){return!1}static importDOM(){return{blockquote:ot=>({conversion:Ae,priority:0})}}exportDOM(ot){const{element:tt}=super.exportDOM(ot);if(tt&&R.isHTMLElement(tt)){this.isEmpty()&&tt.append(document.createElement("br"));const Ue=this.getFormatType();tt.style.textAlign=Ue;const et=this.getDirection();et&&(tt.dir=et)}return{element:tt}}static importJSON(ot){const tt=J();return tt.setFormat(ot.format),tt.setIndent(ot.indent),tt.setDirection(ot.direction),tt}exportJSON(){return{...super.exportJSON(),type:"quote"}}insertNewAfter(ot,tt){const Ue=O.$createParagraphNode(),et=this.getDirection();return Ue.setDirection(et),this.insertAfter(Ue,tt),Ue}collapseAtStart(){const ot=O.$createParagraphNode();return this.getChildren().forEach(Ue=>ot.append(Ue)),this.replace(ot),!0}}function J(){return O.$applyNodeReplacement(new X)}function oe(Xe){return Xe instanceof X}class pe extends O.ElementNode{static getType(){return"heading"}static clone(ot){return new pe(ot.__tag,ot.__key)}constructor(ot,tt){super(tt),this.__tag=ot}getTag(){return this.__tag}createDOM(ot){const tt=this.__tag,Ue=document.createElement(tt),dt=ot.theme.heading;if(dt!==void 0){const gt=dt[tt];R.addClassNamesToElement(Ue,gt)}return Ue}updateDOM(ot,tt){return!1}static importDOM(){return{h1:ot=>({conversion:xe,priority:0}),h2:ot=>({conversion:xe,priority:0}),h3:ot=>({conversion:xe,priority:0}),h4:ot=>({conversion:xe,priority:0}),h5:ot=>({conversion:xe,priority:0}),h6:ot=>({conversion:xe,priority:0}),p:ot=>{const Ue=ot.firstChild;return Ue!==null&&me(Ue)?{conversion:()=>({node:null}),priority:3}:null},span:ot=>me(ot)?{conversion:tt=>({node:ge("h1")}),priority:3}:null}}exportDOM(ot){const{element:tt}=super.exportDOM(ot);if(tt&&R.isHTMLElement(tt)){this.isEmpty()&&tt.append(document.createElement("br"));const Ue=this.getFormatType();tt.style.textAlign=Ue;const et=this.getDirection();et&&(tt.dir=et)}return{element:tt}}static importJSON(ot){const tt=ge(ot.tag);return tt.setFormat(ot.format),tt.setIndent(ot.indent),tt.setDirection(ot.direction),tt}exportJSON(){return{...super.exportJSON(),tag:this.getTag(),type:"heading",version:1}}insertNewAfter(ot,tt=!0){const Ue=ot?ot.anchor.offset:0,et=Ue===this.getTextContentSize()||!ot?O.$createParagraphNode():ge(this.getTag()),dt=this.getDirection();if(et.setDirection(dt),this.insertAfter(et,tt),Ue===0&&!this.isEmpty()&&ot){const gt=O.$createParagraphNode();gt.select(),this.replace(gt,!0)}return et}collapseAtStart(){const ot=this.isEmpty()?O.$createParagraphNode():ge(this.getTag());return this.getChildren().forEach(Ue=>ot.append(Ue)),this.replace(ot),!0}extractWithChild(){return!0}}function me(Xe){return Xe.nodeName.toLowerCase()==="span"?Xe.style.fontSize==="26pt":!1}function xe(Xe){const ot=Xe.nodeName.toLowerCase();let tt=null;return(ot==="h1"||ot==="h2"||ot==="h3"||ot==="h4"||ot==="h5"||ot==="h6")&&(tt=ge(ot),Xe.style!==null&&tt.setFormat(Xe.style.textAlign)),{node:tt}}function Ae(Xe){const ot=J();return Xe.style!==null&&ot.setFormat(Xe.style.textAlign),{node:ot}}function ge(Xe){return O.$applyNodeReplacement(new pe(Xe))}function Te(Xe){return Xe instanceof pe}function we(Xe,ot){Xe.preventDefault(),ot.update(()=>{const tt=O.$getSelection(),Ue=Xe instanceof InputEvent||Xe instanceof KeyboardEvent?null:Xe.clipboardData;Ue!=null&&tt!==null&&S.$insertDataTransferForRichText(Ue,tt,ot)},{tag:"paste"})}async function ke(Xe,ot){await S.copyToClipboard(ot,R.objectKlassEquals(Xe,ClipboardEvent)?Xe:null),ot.update(()=>{const tt=O.$getSelection();O.$isRangeSelection(tt)?tt.removeText():O.$isNodeSelection(tt)&&tt.getNodes().forEach(Ue=>Ue.remove())})}function Be(Xe){let ot=null;if(Xe instanceof DragEvent?ot=Xe.dataTransfer:Xe instanceof ClipboardEvent&&(ot=Xe.clipboardData),ot===null)return[!1,[],!1];const tt=ot.types,Ue=tt.includes("Files"),et=tt.includes("text/html")||tt.includes("text/plain");return[Ue,Array.from(ot.files),et]}function Ie(Xe){const ot=O.$getSelection();if(!O.$isRangeSelection(ot))return!1;const tt=new Set,Ue=ot.getNodes();for(let et=0;et<Ue.length;et++){const dt=Ue[et],gt=dt.getKey();if(tt.has(gt))continue;const Qe=R.$getNearestBlockElementAncestorOrThrow(dt),lt=Qe.getKey();Qe.canIndent()&&!tt.has(lt)&&(tt.add(lt),Xe(Qe))}return tt.size>0}function je(Xe){const ot=O.$getNearestNodeFromDOMNode(Xe);return O.$isDecoratorNode(ot)}function Ke(Xe){const ot=Xe.focus;return ot.key==="root"&&ot.offset===O.$getRoot().getChildrenSize()}function Je(Xe){return R.mergeRegister(Xe.registerCommand(O.CLICK_COMMAND,tt=>{const Ue=O.$getSelection();return O.$isNodeSelection(Ue)?(Ue.clear(),!0):!1},0),Xe.registerCommand(O.DELETE_CHARACTER_COMMAND,tt=>{const Ue=O.$getSelection();return O.$isRangeSelection(Ue)?(Ue.deleteCharacter(tt),!0):!1},O.COMMAND_PRIORITY_EDITOR),Xe.registerCommand(O.DELETE_WORD_COMMAND,tt=>{const Ue=O.$getSelection();return O.$isRangeSelection(Ue)?(Ue.deleteWord(tt),!0):!1},O.COMMAND_PRIORITY_EDITOR),Xe.registerCommand(O.DELETE_LINE_COMMAND,tt=>{const Ue=O.$getSelection();return O.$isRangeSelection(Ue)?(Ue.deleteLine(tt),!0):!1},O.COMMAND_PRIORITY_EDITOR),Xe.registerCommand(O.CONTROLLED_TEXT_INSERTION_COMMAND,tt=>{const Ue=O.$getSelection();if(typeof tt=="string")Ue!==null&&Ue.insertText(tt);else{if(Ue===null)return!1;const et=tt.dataTransfer;if(et!=null)S.$insertDataTransferForRichText(et,Ue,Xe);else if(O.$isRangeSelection(Ue)){const dt=tt.data;return dt&&Ue.insertText(dt),!0}}return!0},O.COMMAND_PRIORITY_EDITOR),Xe.registerCommand(O.REMOVE_TEXT_COMMAND,()=>{const tt=O.$getSelection();return O.$isRangeSelection(tt)?(tt.removeText(),!0):!1},O.COMMAND_PRIORITY_EDITOR),Xe.registerCommand(O.FORMAT_TEXT_COMMAND,tt=>{const Ue=O.$getSelection();return O.$isRangeSelection(Ue)?(Ue.formatText(tt),!0):!1},O.COMMAND_PRIORITY_EDITOR),Xe.registerCommand(O.FORMAT_ELEMENT_COMMAND,tt=>{const Ue=O.$getSelection();if(!O.$isRangeSelection(Ue)&&!O.$isNodeSelection(Ue))return!1;const et=Ue.getNodes();for(const dt of et){const gt=R.$findMatchingParent(dt,Qe=>O.$isElementNode(Qe)&&!Qe.isInline());gt!==null&&gt.setFormat(tt)}return!0},O.COMMAND_PRIORITY_EDITOR),Xe.registerCommand(O.INSERT_LINE_BREAK_COMMAND,tt=>{const Ue=O.$getSelection();return O.$isRangeSelection(Ue)?(Ue.insertLineBreak(tt),!0):!1},O.COMMAND_PRIORITY_EDITOR),Xe.registerCommand(O.INSERT_PARAGRAPH_COMMAND,()=>{const tt=O.$getSelection();return O.$isRangeSelection(tt)?(tt.insertParagraph(),!0):!1},O.COMMAND_PRIORITY_EDITOR),Xe.registerCommand(O.INSERT_TAB_COMMAND,()=>(O.$insertNodes([O.$createTabNode()]),!0),O.COMMAND_PRIORITY_EDITOR),Xe.registerCommand(O.INDENT_CONTENT_COMMAND,()=>Ie(tt=>{const Ue=tt.getIndent();tt.setIndent(Ue+1)}),O.COMMAND_PRIORITY_EDITOR),Xe.registerCommand(O.OUTDENT_CONTENT_COMMAND,()=>Ie(tt=>{const Ue=tt.getIndent();Ue>0&&tt.setIndent(Ue-1)}),O.COMMAND_PRIORITY_EDITOR),Xe.registerCommand(O.KEY_ARROW_UP_COMMAND,tt=>{const Ue=O.$getSelection();if(O.$isNodeSelection(Ue)&&!je(tt.target)){const et=Ue.getNodes();if(et.length>0)return et[0].selectPrevious(),!0}else if(O.$isRangeSelection(Ue)){const et=O.$getAdjacentNode(Ue.focus,!0);if(!tt.shiftKey&&O.$isDecoratorNode(et)&&!et.isIsolated()&&!et.isInline())return et.selectPrevious(),tt.preventDefault(),!0}return!1},O.COMMAND_PRIORITY_EDITOR),Xe.registerCommand(O.KEY_ARROW_DOWN_COMMAND,tt=>{const Ue=O.$getSelection();if(O.$isNodeSelection(Ue)){const et=Ue.getNodes();if(et.length>0)return et[0].selectNext(0,0),!0}else if(O.$isRangeSelection(Ue)){if(Ke(Ue))return tt.preventDefault(),!0;const et=O.$getAdjacentNode(Ue.focus,!1);if(!tt.shiftKey&&O.$isDecoratorNode(et)&&!et.isIsolated()&&!et.isInline())return et.selectNext(),tt.preventDefault(),!0}return!1},O.COMMAND_PRIORITY_EDITOR),Xe.registerCommand(O.KEY_ARROW_LEFT_COMMAND,tt=>{const Ue=O.$getSelection();if(O.$isNodeSelection(Ue)){const et=Ue.getNodes();if(et.length>0)return tt.preventDefault(),et[0].selectPrevious(),!0}if(!O.$isRangeSelection(Ue))return!1;if(C.$shouldOverrideDefaultCharacterSelection(Ue,!0)){const et=tt.shiftKey;return tt.preventDefault(),C.$moveCharacter(Ue,et,!0),!0}return!1},O.COMMAND_PRIORITY_EDITOR),Xe.registerCommand(O.KEY_ARROW_RIGHT_COMMAND,tt=>{const Ue=O.$getSelection();if(O.$isNodeSelection(Ue)&&!je(tt.target)){const dt=Ue.getNodes();if(dt.length>0)return tt.preventDefault(),dt[0].selectNext(0,0),!0}if(!O.$isRangeSelection(Ue))return!1;const et=tt.shiftKey;return C.$shouldOverrideDefaultCharacterSelection(Ue,!1)?(tt.preventDefault(),C.$moveCharacter(Ue,et,!1),!0):!1},O.COMMAND_PRIORITY_EDITOR),Xe.registerCommand(O.KEY_BACKSPACE_COMMAND,tt=>{if(je(tt.target))return!1;const Ue=O.$getSelection();if(!O.$isRangeSelection(Ue))return!1;tt.preventDefault();const{anchor:et}=Ue,dt=et.getNode();return Ue.isCollapsed()&&et.offset===0&&!O.$isRootNode(dt)&&R.$getNearestBlockElementAncestorOrThrow(dt).getIndent()>0?Xe.dispatchCommand(O.OUTDENT_CONTENT_COMMAND,void 0):Xe.dispatchCommand(O.DELETE_CHARACTER_COMMAND,!0)},O.COMMAND_PRIORITY_EDITOR),Xe.registerCommand(O.KEY_DELETE_COMMAND,tt=>{if(je(tt.target))return!1;const Ue=O.$getSelection();return O.$isRangeSelection(Ue)?(tt.preventDefault(),Xe.dispatchCommand(O.DELETE_CHARACTER_COMMAND,!1)):!1},O.COMMAND_PRIORITY_EDITOR),Xe.registerCommand(O.KEY_ENTER_COMMAND,tt=>{const Ue=O.$getSelection();if(!O.$isRangeSelection(Ue))return!1;if(tt!==null){if((F||j||K)&&B)return!1;if(tt.preventDefault(),tt.shiftKey)return Xe.dispatchCommand(O.INSERT_LINE_BREAK_COMMAND,!1)}return Xe.dispatchCommand(O.INSERT_PARAGRAPH_COMMAND,void 0)},O.COMMAND_PRIORITY_EDITOR),Xe.registerCommand(O.KEY_ESCAPE_COMMAND,()=>{const tt=O.$getSelection();return O.$isRangeSelection(tt)?(Xe.blur(),!0):!1},O.COMMAND_PRIORITY_EDITOR),Xe.registerCommand(O.DROP_COMMAND,tt=>{const[,Ue]=Be(tt);if(Ue.length>0){const dt=tt.clientX,gt=tt.clientY,Qe=I(dt,gt);if(Qe!==null){const{offset:lt,node:ht}=Qe,Ct=O.$getNearestNodeFromDOMNode(ht);if(Ct!==null){const $t=O.$createRangeSelection();if(O.$isTextNode(Ct))$t.anchor.set(Ct.getKey(),lt,"text"),$t.focus.set(Ct.getKey(),lt,"text");else{const Gt=Ct.getParentOrThrow().getKey(),Pt=Ct.getIndexWithinParent()+1;$t.anchor.set(Gt,Pt,"element"),$t.focus.set(Gt,Pt,"element")}const Lt=O.$normalizeSelection__EXPERIMENTAL($t);O.$setSelection(Lt)}Xe.dispatchCommand(W,Ue)}return tt.preventDefault(),!0}const et=O.$getSelection();return!!O.$isRangeSelection(et)},O.COMMAND_PRIORITY_EDITOR),Xe.registerCommand(O.DRAGSTART_COMMAND,tt=>{const[Ue]=Be(tt),et=O.$getSelection();return!(Ue&&!O.$isRangeSelection(et))},O.COMMAND_PRIORITY_EDITOR),Xe.registerCommand(O.DRAGOVER_COMMAND,tt=>{const[Ue]=Be(tt),et=O.$getSelection();if(Ue&&!O.$isRangeSelection(et))return!1;const dt=tt.clientX,gt=tt.clientY,Qe=I(dt,gt);if(Qe!==null){const lt=O.$getNearestNodeFromDOMNode(Qe.node);O.$isDecoratorNode(lt)&&tt.preventDefault()}return!0},O.COMMAND_PRIORITY_EDITOR),Xe.registerCommand(O.SELECT_ALL_COMMAND,()=>(O.$selectAll(),!0),O.COMMAND_PRIORITY_EDITOR),Xe.registerCommand(O.COPY_COMMAND,tt=>(S.copyToClipboard(Xe,R.objectKlassEquals(tt,ClipboardEvent)?tt:null),!0),O.COMMAND_PRIORITY_EDITOR),Xe.registerCommand(O.CUT_COMMAND,tt=>(ke(tt,Xe),!0),O.COMMAND_PRIORITY_EDITOR),Xe.registerCommand(O.PASTE_COMMAND,tt=>{const[,Ue,et]=Be(tt);return Ue.length>0&&!et?(Xe.dispatchCommand(W,Ue),!0):O.isSelectionCapturedInDecoratorInput(tt.target)?!1:O.$getSelection()!==null?(we(tt,Xe),!0):!1},O.COMMAND_PRIORITY_EDITOR))}return LexicalRichText_dev.$createHeadingNode=ge,LexicalRichText_dev.$createQuoteNode=J,LexicalRichText_dev.$isHeadingNode=Te,LexicalRichText_dev.$isQuoteNode=oe,LexicalRichText_dev.DRAG_DROP_PASTE=W,LexicalRichText_dev.HeadingNode=pe,LexicalRichText_dev.QuoteNode=X,LexicalRichText_dev.eventFiles=Be,LexicalRichText_dev.registerRichText=Je,LexicalRichText_dev}var define_process_env_default$2={};const LexicalRichText=define_process_env_default$2.NODE_ENV==="development"?requireLexicalRichText_dev():requireLexicalRichText_prod();var LexicalRichText_1=LexicalRichText,hasRequiredLexicalRichTextPlugin_prod;function requireLexicalRichTextPlugin_prod(){if(hasRequiredLexicalRichTextPlugin_prod)return LexicalRichTextPlugin_prod;hasRequiredLexicalRichTextPlugin_prod=1;var S=LexicalComposerContext_1,C=requireUseLexicalEditable(),R=requireReact(),O=requireLexicalText(),I=LexicalUtils_1,N=reactDomExports,L=requireLexicalDragon(),B=LexicalRichText_1,j=typeof window<"u"&&typeof window.document<"u"&&typeof window.document.createElement<"u"?R.useLayoutEffect:R.useEffect;function F(J){return J.getEditorState().read(O.$canShowPlaceholderCurry(J.isComposing()))}function V(J){let[oe,pe]=R.useState(()=>F(J));return j(()=>{function me(){let xe=F(J);pe(xe)}return me(),I.mergeRegister(J.registerUpdateListener(()=>{me()}),J.registerEditableListener(()=>{me()}))},[J]),oe}function K(J,oe){let[pe,me]=R.useState(()=>J.getDecorators());return j(()=>J.registerDecoratorListener(xe=>{N.flushSync(()=>{me(xe)})}),[J]),R.useEffect(()=>{me(J.getDecorators())},[J]),R.useMemo(()=>{let xe=[],Ae=Object.keys(pe);for(let ge=0;ge<Ae.length;ge++){let Te=Ae[ge],we=R.createElement(oe,{onError:Be=>J._onError(Be)},R.createElement(R.Suspense,{fallback:null},pe[Te])),ke=J.getElementByKey(Te);ke!==null&&xe.push(N.createPortal(we,ke,Te))}return xe},[oe,pe,J])}function W(J){j(()=>I.mergeRegister(B.registerRichText(J),L.registerDragonSupport(J)),[J])}function X({content:J}){var[oe]=S.useLexicalComposerContext();oe=V(oe);let pe=C();return oe?typeof J=="function"?J(pe):J:null}return LexicalRichTextPlugin_prod.RichTextPlugin=function({contentEditable:J,placeholder:oe,ErrorBoundary:pe}){let[me]=S.useLexicalComposerContext();return pe=K(me,pe),W(me),R.createElement(R.Fragment,null,J,R.createElement(X,{content:oe}),pe)},LexicalRichTextPlugin_prod}var LexicalRichTextPlugin_dev={},hasRequiredLexicalRichTextPlugin_dev;function requireLexicalRichTextPlugin_dev(){if(hasRequiredLexicalRichTextPlugin_dev)return LexicalRichTextPlugin_dev;hasRequiredLexicalRichTextPlugin_dev=1;var S=LexicalComposerContext_1,C=requireUseLexicalEditable(),R=requireReact(),O=requireLexicalText(),I=LexicalUtils_1,N=reactDomExports,L=requireLexicalDragon(),B=LexicalRichText_1,V=typeof window<"u"&&typeof window.document<"u"&&typeof window.document.createElement<"u"?R.useLayoutEffect:R.useEffect;function K(me){return me.getEditorState().read(O.$canShowPlaceholderCurry(me.isComposing()))}function W(me){const[xe,Ae]=R.useState(()=>K(me));return V(()=>{function ge(){const Te=K(me);Ae(Te)}return ge(),I.mergeRegister(me.registerUpdateListener(()=>{ge()}),me.registerEditableListener(()=>{ge()}))},[me]),xe}function X(me,xe){const[Ae,ge]=R.useState(()=>me.getDecorators());return V(()=>me.registerDecoratorListener(Te=>{N.flushSync(()=>{ge(Te)})}),[me]),R.useEffect(()=>{ge(me.getDecorators())},[me]),R.useMemo(()=>{const Te=[],we=Object.keys(Ae);for(let ke=0;ke<we.length;ke++){const Be=we[ke],Ie=R.createElement(xe,{onError:Ke=>me._onError(Ke)},R.createElement(R.Suspense,{fallback:null},Ae[Be])),je=me.getElementByKey(Be);je!==null&&Te.push(N.createPortal(Ie,je,Be))}return Te},[xe,Ae,me])}function J(me){V(()=>I.mergeRegister(B.registerRichText(me),L.registerDragonSupport(me)),[me])}function oe({contentEditable:me,placeholder:xe,ErrorBoundary:Ae}){const[ge]=S.useLexicalComposerContext(),Te=X(ge,Ae);return J(ge),R.createElement(R.Fragment,null,me,R.createElement(pe,{content:xe}),Te)}function pe({content:me}){const[xe]=S.useLexicalComposerContext(),Ae=W(xe),ge=C();return Ae?typeof me=="function"?me(ge):me:null}return LexicalRichTextPlugin_dev.RichTextPlugin=oe,LexicalRichTextPlugin_dev}var define_process_env_default$1={};const LexicalRichTextPlugin=define_process_env_default$1.NODE_ENV==="development"?requireLexicalRichTextPlugin_dev():requireLexicalRichTextPlugin_prod();var LexicalRichTextPlugin_1=LexicalRichTextPlugin,RichEditorContentType=(S=>(S.IMAGE="image",S.TEXT="text",S))(RichEditorContentType||{});const FAKE_PROTOCOL="fake:",CAN_USE_DOM=typeof window<"u"&&typeof window.document<"u"&&typeof window.document.createElement<"u";var useLexicalNodeSelection_prod={},hasRequiredUseLexicalNodeSelection_prod;function requireUseLexicalNodeSelection_prod(){if(hasRequiredUseLexicalNodeSelection_prod)return useLexicalNodeSelection_prod;hasRequiredUseLexicalNodeSelection_prod=1;var S=LexicalComposerContext_1,C=Lexical_1,R=requireReact();function O(I,N){return I.getEditorState().read(()=>{let L=C.$getNodeByKey(N);return L===null?!1:L.isSelected()})}return useLexicalNodeSelection_prod.useLexicalNodeSelection=function(I){let[N]=S.useLexicalComposerContext(),[L,B]=R.useState(()=>O(N,I));R.useEffect(()=>{let V=!0,K=N.registerUpdateListener(()=>{V&&B(O(N,I))});return()=>{V=!1,K()}},[N,I]);let j=R.useCallback(V=>{N.update(()=>{let K=C.$getSelection();C.$isNodeSelection(K)||(K=C.$createNodeSelection(),C.$setSelection(K)),C.$isNodeSelection(K)&&(V?K.add(I):K.delete(I))})},[N,I]),F=R.useCallback(()=>{N.update(()=>{const V=C.$getSelection();C.$isNodeSelection(V)&&V.clear()})},[N]);return[L,j,F]},useLexicalNodeSelection_prod}var useLexicalNodeSelection_dev={},hasRequiredUseLexicalNodeSelection_dev;function requireUseLexicalNodeSelection_dev(){if(hasRequiredUseLexicalNodeSelection_dev)return useLexicalNodeSelection_dev;hasRequiredUseLexicalNodeSelection_dev=1;var S=LexicalComposerContext_1,C=Lexical_1,R=requireReact();function O(N,L){return N.getEditorState().read(()=>{const B=C.$getNodeByKey(L);return B===null?!1:B.isSelected()})}function I(N){const[L]=S.useLexicalComposerContext(),[B,j]=R.useState(()=>O(L,N));R.useEffect(()=>{let K=!0;const W=L.registerUpdateListener(()=>{K&&j(O(L,N))});return()=>{K=!1,W()}},[L,N]);const F=R.useCallback(K=>{L.update(()=>{let W=C.$getSelection();C.$isNodeSelection(W)||(W=C.$createNodeSelection(),C.$setSelection(W)),C.$isNodeSelection(W)&&(K?W.add(N):W.delete(N))})},[L,N]),V=R.useCallback(()=>{L.update(()=>{const K=C.$getSelection();C.$isNodeSelection(K)&&K.clear()})},[L]);return[B,F,V]}return useLexicalNodeSelection_dev.useLexicalNodeSelection=I,useLexicalNodeSelection_dev}var define_process_env_default={};const useLexicalNodeSelection=define_process_env_default.NODE_ENV==="development"?requireUseLexicalNodeSelection_dev():requireUseLexicalNodeSelection_prod();var useLexicalNodeSelection_1=useLexicalNodeSelection;function useEventCallback(S){const C=reactExports.useRef(S);return reactExports.useLayoutEffect(()=>{C.current=S}),reactExports.useCallback((...R)=>{const O=C.current;return O(...R)},[])}const INSERT_IMAGE_COMMAND=Lexical_1.createCommand("INSERT_IMAGE_COMMAND"),INSERT_MULTIPLE_NODES_COMMAND=Lexical_1.createCommand("INSERT_MULTIPLE_NODES_COMMAND"),RIGHT_CLICK_IMAGE_COMMAND=Lexical_1.createCommand("RIGHT_CLICK_IMAGE_COMMAND");class RichEditorViewModel extends ViewModel{constructor(C){super(),this.editor$=new State(void 0),this.maxHeight$=new State(void 0),this.resolveUrlByPath$=new State(void 0),this.resolveUrlByFile$=new State(void 0),this._resetEditorState=C.resetEditorState,this._replaceImageSrc=C.replaceImageSrc,this._extractEditorData=C.extractEditorData}get requiredEditor(){const C=this.editor$.getSnapshot();if(!C)throw new Error("[RichEditor] editor is not prepared.");return C}focus(){this.requiredEditor.focus()}getContent(){const R=this.requiredEditor.getEditorState();return this._extractEditorData(R)}insert(C){this.requiredEditor.dispatchCommand(INSERT_MULTIPLE_NODES_COMMAND,{nodes:C})}isEmpty(){return this.requiredEditor.getEditorState().read(()=>{const I=Lexical_1.$getRoot(),N=I.getFirstChild();return N?I.getChildrenSize()===1&&N instanceof Lexical_1.ElementNode?N.isEmpty():!1:!0})}replaceImageSrc(C,R){const O=this.editor$.getSnapshot();if(!O)throw new Error("[RichEditor] editor is not prepared.");this._replaceImageSrc(O,C,R)}reset(C){const R=this.requiredEditor;this._resetEditorState(C)(R)}async resolveUrlByFile(C){const R=this.resolveUrlByFile$.getSnapshot();return R?R(C):""}async resolveUrlByPath(C){if(C.startsWith(FAKE_PROTOCOL))return C;const R=this.resolveUrlByPath$.getSnapshot();return(R==null?void 0:R(C))??C}}const RichEditorContextType=reactExports.createContext({viewmodel:new RichEditorViewModel({extractEditorData:()=>[],resetEditorState:()=>()=>{},replaceImageSrc:()=>{}})}),useRichEditorContext=()=>{const S=reactExports.useContext(RichEditorContextType),C=reactExports.useContext(LexicalComposerContext_1.LexicalComposerContext),R=(C==null?void 0:C[0])??void 0;return R&&S.viewmodel.editor$.setState(R),S},useAutoResize=()=>{const[S]=LexicalComposerContext_1.useLexicalComposerContext(),{viewmodel:C}=useRichEditorContext(),R=useStateValue(C.maxHeight$);return useEventCallback(()=>{if(R===void 0)return;const I=S==null?void 0:S.getRootElement();if(I){I.style.height="24px";const N=Math.min(R,I.scrollHeight);I.style.height=`${N}px`}})},imageCache=new Set;function useSuspenseImage(S){imageCache.has(S)||new Promise(C=>{const R=new Image;R.src=S,R.onload=()=>{imageCache.add(S),C(null)}})}function LazyImage({alt:S,className:C,imageRef:R,src:O,width:I,height:N,maxWidth:L,onLoad:B}){return useSuspenseImage(O),jsxRuntimeExports.jsx("img",{className:C||void 0,src:O,alt:S,ref:R,style:{height:N,maxWidth:L,width:I,border:"1px solid #E5E5E5"},draggable:!1,onLoad:B})}const ImageComponent=S=>{const{viewmodel:C}=useRichEditorContext(),R=useAutoResize(),{src:O,alt:I,nodeKey:N,width:L,height:B,maxWidth:j,isImageNode:F}=S,[V,K]=reactExports.useState(O),W=reactExports.useRef(null),X=reactExports.useRef(null),[J,oe,pe]=useLexicalNodeSelection_1.useLexicalNodeSelection(N),[me]=LexicalComposerContext_1.useLexicalComposerContext(),[xe,Ae]=reactExports.useState(null),ge=reactExports.useRef(null),Te=reactExports.useCallback(tt=>{if(J&&Lexical_1.$isNodeSelection(Lexical_1.$getSelection())){tt.preventDefault();const et=Lexical_1.$getNodeByKey(N);F(et)&&et.remove()}return!1},[J,N,F]),we=reactExports.useCallback(tt=>{const Ue=Lexical_1.$getSelection(),et=X.current;return J&&Lexical_1.$isNodeSelection(Ue)&&Ue.getNodes().length===1&&et!==null&&et!==document.activeElement?(tt.preventDefault(),et.focus(),!0):!1},[J]),ke=reactExports.useCallback(tt=>tt.target===W.current?(tt.preventDefault(),!0):!1,[]),Be=reactExports.useCallback(tt=>X.current===tt.target?(Lexical_1.$setSelection(null),me.update(()=>{oe(!0);const Ue=me.getRootElement();Ue!==null&&Ue.focus()}),!0):!1,[me,oe]),Ie=reactExports.useCallback(tt=>{const Ue=tt;return Ue.target===W.current?(Ue.shiftKey?oe(!J):(pe(),oe(!0)),!0):!1},[J,oe,pe]),je=reactExports.useCallback(tt=>{me.getEditorState().read(()=>{const Ue=Lexical_1.$getSelection();tt.target.tagName==="IMG"&&Lexical_1.$isRangeSelection(Ue)&&Ue.getNodes().length===1&&me.dispatchCommand(RIGHT_CLICK_IMAGE_COMMAND,tt)})},[me]);reactExports.useEffect(()=>{let tt=!1;return C.resolveUrlByPath(O).then(Ue=>{tt||K(Ue)}),()=>{tt=!0}},[C,O]),reactExports.useEffect(()=>{let tt=!0;const Ue=me.getRootElement(),et=LexicalUtils_1.mergeRegister(me.registerUpdateListener(({editorState:dt})=>{tt&&Ae(dt.read(Lexical_1.$getSelection))}),me.registerCommand(Lexical_1.SELECTION_CHANGE_COMMAND,(dt,gt)=>(ge.current=gt,!1),Lexical_1.COMMAND_PRIORITY_LOW),me.registerCommand(Lexical_1.CLICK_COMMAND,Ie,Lexical_1.COMMAND_PRIORITY_LOW),me.registerCommand(RIGHT_CLICK_IMAGE_COMMAND,Ie,Lexical_1.COMMAND_PRIORITY_LOW),me.registerCommand(Lexical_1.DRAGSTART_COMMAND,ke,Lexical_1.COMMAND_PRIORITY_LOW),me.registerCommand(Lexical_1.KEY_DELETE_COMMAND,Te,Lexical_1.COMMAND_PRIORITY_LOW),me.registerCommand(Lexical_1.KEY_BACKSPACE_COMMAND,Te,Lexical_1.COMMAND_PRIORITY_LOW),me.registerCommand(Lexical_1.KEY_ENTER_COMMAND,we,Lexical_1.COMMAND_PRIORITY_LOW),me.registerCommand(Lexical_1.KEY_ESCAPE_COMMAND,Be,Lexical_1.COMMAND_PRIORITY_LOW));return Ue==null||Ue.addEventListener("contextmenu",je),()=>{tt=!1,et(),Ue==null||Ue.removeEventListener("contextmenu",je)}},[me,J,N,pe,Te,ke,we,Be,Ie,je,oe]);const Ke=J&&Lexical_1.$isNodeSelection(xe),Xe=J?`focused ${Lexical_1.$isNodeSelection(xe)?"draggable":""}`:void 0,ot=(V.startsWith(FAKE_PROTOCOL)?V.slice(FAKE_PROTOCOL.length):V).replace(/#[\s\S]*$/,"");return jsxRuntimeExports.jsx(reactExports.Suspense,{fallback:null,children:jsxRuntimeExports.jsx("div",{draggable:Ke,children:jsxRuntimeExports.jsx(LazyImage,{className:Xe,src:ot,alt:I,imageRef:W,width:L,height:B,maxWidth:j,onLoad:R})})})};class ImageNode extends Lexical_1.DecoratorNode{constructor(C,R,O,I,N,L){super(L),this.src=C,this.alt=R,this.maxWidth=O,this.width=I||"inherit",this.height=N||"inherit"}static getType(){return RichEditorContentType.IMAGE}static clone(C){return new ImageNode(C.src,C.alt,C.maxWidth,C.width,C.height,C.__key)}static importDOM(){return{img:C=>({conversion:convertImageElement,priority:0})}}static importJSON(C){const{alt:R,height:O,width:I,maxWidth:N,src:L}=C;return $createImageNode({alt:R,height:O,maxWidth:N,src:L,width:I})}exportDOM(){const C=document.createElement("img");return C.setAttribute("src",this.src),C.setAttribute("alt",this.alt),C.setAttribute("width",this.width.toString()),C.setAttribute("height",this.height.toString()),{element:C}}exportJSON(){return{alt:this.getAltText(),height:this.height==="inherit"?0:this.height,maxWidth:this.maxWidth,src:this.getSrc(),type:RichEditorContentType.IMAGE,version:1,width:this.width==="inherit"?0:this.width}}setWidthAndHeight(C,R){const O=this.getWritable();O.width=C,O.height=R}createDOM(C){const R=document.createElement("span"),I=C.theme.image;return I!==void 0&&(R.className=I),R}updateDOM(){return!1}getSrc(){return this.src}getAltText(){return this.alt}decorate(){return jsxRuntimeExports.jsx(reactExports.Suspense,{fallback:null,children:jsxRuntimeExports.jsx(ImageComponent,{src:this.src,alt:this.alt,width:this.width,height:this.height,maxWidth:this.maxWidth,nodeKey:this.getKey(),isImageNode:$isImageNode})})}}function $createImageNode({alt:S,height:C,maxWidth:R=240,src:O,width:I,key:N}){return Lexical_1.$applyNodeReplacement(new ImageNode(O,S,R,I,C,N))}function $isImageNode(S){return S instanceof ImageNode}function convertImageElement(S){if(S instanceof HTMLImageElement){const{alt:C,src:R,width:O,height:I}=S;return R.startsWith("blob:")?null:{node:$createImageNode({alt:C,height:I,src:R,width:O})}}return null}const CommandPlugin=()=>{const[S]=LexicalComposerContext_1.useLexicalComposerContext();return React.useLayoutEffect(()=>LexicalUtils_1.mergeRegister(S.registerCommand(INSERT_MULTIPLE_NODES_COMMAND,C=>{const{nodes:R}=C;if(R.length===1&&R[0].type===RichEditorContentType.TEXT){const N=R[0];return S.update(()=>{const L=Lexical_1.$getSelection();L&&L.insertRawText(N.value)}),!0}let O;const I=[];for(const N of R)switch(N.type){case RichEditorContentType.TEXT:{const L=Lexical_1.$createTextNode(N.value),B=Lexical_1.$createParagraphNode();O=L,B.append(L),I.push(B);break}case RichEditorContentType.IMAGE:{const L=$createImageNode(N),B=Lexical_1.$createParagraphNode();O=L,B.append(L),I.push(B);break}}return I.length<=0||(Lexical_1.$insertNodes(I),O&&Lexical_1.$isRootOrShadowRoot(O.getParentOrThrow())&&O.selectEnd()),!0},Lexical_1.COMMAND_PRIORITY_EDITOR)),[S]),jsxRuntimeExports.jsx(React.Fragment,{})},ACCEPTABLE_IMAGE_TYPES=["image/","image/heic","image/heif","image/gif","image/webp"],DragDropPastePlugin=()=>{const[S]=LexicalComposerContext_1.useLexicalComposerContext(),{viewmodel:C}=useRichEditorContext();return reactExports.useLayoutEffect(()=>S.registerCommand(LexicalRichText_1.DRAG_DROP_PASTE,R=>{return O(),!0;async function O(){for(const I of R)if(LexicalUtils_1.isMimeType(I,ACCEPTABLE_IMAGE_TYPES)){const N=I.name,L=await C.resolveUrlByFile(I);S.dispatchCommand(INSERT_IMAGE_COMMAND,{alt:N,src:L})}}},Lexical_1.COMMAND_PRIORITY_LOW),[S,C]),jsxRuntimeExports.jsx(reactExports.Fragment,{})};class Point{constructor(C,R){this._x=C,this._y=R}get x(){return this._x}get y(){return this._y}equals(C){return this.x===C.x&&this.y===C.y}calcDeltaXTo(C){return this.x-C.x}calcDeltaYTo(C){return this.y-C.y}calcHorizontalDistanceTo(C){return Math.abs(this.calcDeltaXTo(C))}calcVerticalDistance(C){return Math.abs(this.calcDeltaYTo(C))}calcDistanceTo(C){const R=this.calcDeltaXTo(C)**2,O=this.calcDeltaYTo(C)**2;return Math.sqrt(R+O)}}function isPoint(S){return S instanceof Point}class Rect{constructor(C,R,O,I){const[N,L]=R<=I?[R,I]:[I,R],[B,j]=C<=O?[C,O]:[O,C];this._top=N,this._right=j,this._left=B,this._bottom=L}get top(){return this._top}get right(){return this._right}get bottom(){return this._bottom}get left(){return this._left}get width(){return Math.abs(this._left-this._right)}get height(){return Math.abs(this._bottom-this._top)}static fromLTRB(C,R,O,I){return new Rect(C,R,O,I)}static fromLWTH(C,R,O,I){return new Rect(C,O,C+R,O+I)}static fromPoints(C,R){const{y:O,x:I}=C,{y:N,x:L}=R;return Rect.fromLTRB(I,O,L,N)}static fromDOM(C){const{top:R,width:O,left:I,height:N}=C.getBoundingClientRect();return Rect.fromLWTH(I,O,R,N)}equals(C){return C.top===this._top&&C.bottom===this._bottom&&C.left===this._left&&C.right===this._right}contains(C){if(isPoint(C)){const{x:R,y:O}=C,I=O<this._top,N=O>this._bottom,L=R<this._left,B=R>this._right;return{reason:{isOnBottomSide:N,isOnLeftSide:L,isOnRightSide:B,isOnTopSide:I},result:!I&&!N&&!L&&!B}}else{const{top:R,left:O,bottom:I,right:N}=C;return R>=this._top&&R<=this._bottom&&I>=this._top&&I<=this._bottom&&O>=this._left&&O<=this._right&&N>=this._left&&N<=this._right}}intersectsWith(C){const{left:R,top:O,width:I,height:N}=C,{left:L,top:B,width:j,height:F}=this,V=R+I>=L+j?R+I:L+j,K=O+N>=B+F?O+N:B+F,W=R<=L?R:L,X=O<=B?O:B;return V-W<=I+j&&K-X<=N+F}generateNewRect({left:C=this.left,top:R=this.top,right:O=this.right,bottom:I=this.bottom}){return new Rect(C,R,O,I)}}const SPACE=4,TARGET_LINE_HALF_HEIGHT=2,DRAGGABLE_BLOCK_MENU_CLASSNAME="draggable-block-menu",DRAG_DATA_FORMAT="application/x-lexical-drag-block",TEXT_BOX_HORIZONTAL_PADDING=28,Downward=1,Upward=-1,Indeterminate=0,DraggableBlockPlugin=S=>{const{anchorElem:C=document.body}=S,[R]=LexicalComposerContext_1.useLexicalComposerContext();return useDraggableBlockMenu(R,C,R._editable)};let prevIndex=1/0;function getCurrentIndex(S){return S===0?1/0:prevIndex>=0&&prevIndex<S?prevIndex:Math.floor(S/2)}function getTopLevelNodeKeys(S){return S.getEditorState().read(()=>Lexical_1.$getRoot().getChildrenKeys())}function getCollapsedMargins(S){const C=(j,F)=>j?parseFloat(window.getComputedStyle(j)[F]):0,{marginTop:R,marginBottom:O}=window.getComputedStyle(S),I=C(S.previousElementSibling,"marginBottom"),N=C(S.nextElementSibling,"marginTop"),L=Math.max(parseFloat(R),I);return{marginBottom:Math.max(parseFloat(O),N),marginTop:L}}function getBlockElement(S,C,R,O=!1){const 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O=C.style;if(!S){O.opacity="0",O.transform="translate(-10000px, -10000px)";return}const I=S.getBoundingClientRect(),N=window.getComputedStyle(S),L=C.getBoundingClientRect(),B=R.getBoundingClientRect(),j=I.top+(parseInt(N.lineHeight,10)-L.height)/2-B.top,F=SPACE;O.opacity="1",O.transform=`translate(${F}px, ${j}px)`}function setDragImage(S,C){const{transform:R}=C.style,O=C.style;O.transform="translateZ(0)",S.setDragImage(C,0,0),setTimeout(()=>{O.transform=R})}function setTargetLine(S,C,R,O){const{top:I,height:N}=C.getBoundingClientRect(),{top:L,width:B}=O.getBoundingClientRect(),{marginTop:j,marginBottom:F}=getCollapsedMargins(C);let V=I;R>=I?V+=N+F/2:V-=j/2;const K=V-L-TARGET_LINE_HALF_HEIGHT,W=TEXT_BOX_HORIZONTAL_PADDING-SPACE,X=S.style;X.transform=`translate(${W}px, ${K}px)`,X.width=`${B-(TEXT_BOX_HORIZONTAL_PADDING-SPACE)*2}px`,X.opacity=".4"}function hideTargetLine(S){const C=S==null?void 0:S.style;C&&(C.opacity="0",C.transform="translate(-10000px, -10000px)")}function useDraggableBlockMenu(S,C,R){const O=C.parentElement,I=reactExports.useRef(null),N=reactExports.useRef(null),L=reactExports.useRef(!1),[B,j]=reactExports.useState(null);reactExports.useLayoutEffect(()=>{function K(X){const J=X.target;if(!isHTMLElement(J)){j(null);return}if(isOnMenu(J))return;const oe=getBlockElement(C,S,X);j(oe)}function W(){j(null)}return O==null||O.addEventListener("mousemove",K),O==null||O.addEventListener("mouseleave",W),()=>{O==null||O.removeEventListener("mousemove",K),O==null||O.removeEventListener("mouseleave",W)}},[O,C,S]),reactExports.useEffect(()=>{I.current&&setMenuPosition(B,I.current,C)},[C,B]),reactExports.useEffect(()=>{function K(X){if(!L.current)return!1;const[J]=LexicalRichText_1.eventFiles(X);if(J)return!1;const{pageY:oe,target:pe}=X;if(!isHTMLElement(pe))return!1;const me=getBlockElement(C,S,X,!0),xe=N.current;return me===null||xe===null?!1:(setTargetLine(xe,me,oe,C),X.preventDefault(),!0)}function W(X){if(!L.current)return!1;const[J]=LexicalRichText_1.eventFiles(X);if(J)return!1;const{target:oe,dataTransfer:pe,pageY:me}=X,xe=(pe==null?void 0:pe.getData(DRAG_DATA_FORMAT))||"",Ae=Lexical_1.$getNodeByKey(xe);if(!Ae||!isHTMLElement(oe))return!1;const ge=getBlockElement(C,S,X,!0);if(!ge)return!1;const Te=Lexical_1.$getNearestNodeFromDOMNode(ge);if(!Te)return!1;if(Te===Ae)return!0;const we=ge.getBoundingClientRect().top;return me>=we?Te.insertAfter(Ae):Te.insertBefore(Ae),j(null),!0}return LexicalUtils_1.mergeRegister(S.registerCommand(Lexical_1.DRAGOVER_COMMAND,X=>K(X),Lexical_1.COMMAND_PRIORITY_LOW),S.registerCommand(Lexical_1.DROP_COMMAND,X=>W(X),Lexical_1.COMMAND_PRIORITY_HIGH))},[C,S]);const F=K=>{const W=K.dataTransfer;if(!W||!B)return;setDragImage(W,B);let X="";S.update(()=>{const J=Lexical_1.$getNearestNodeFromDOMNode(B);J&&(X=J.getKey())}),L.current=!0,W.setData(DRAG_DATA_FORMAT,X)},V=()=>{L.current=!1,hideTargetLine(N.current)};return reactDomExports.createPortal(jsxRuntimeExports.jsxs(reactExports.Fragment,{children:[jsxRuntimeExports.jsx("div",{className:"icon draggable-block-menu",role:"button",ref:I,draggable:!0,onDragStart:F,onDragEnd:V,children:jsxRuntimeExports.jsx("div",{className:R?"icon":""})}),jsxRuntimeExports.jsx("div",{className:"draggable-block-target-line",ref:N})]}),C)}const EditablePlugin=S=>{const{editable:C}=S,[R]=LexicalComposerContext_1.useLexicalComposerContext();return reactExports.useEffect(()=>{R.setEditable(C)},[R,C]),jsxRuntimeExports.jsx(reactExports.Fragment,{})},ImagesPlugin=()=>{const[S]=LexicalComposerContext_1.useLexicalComposerContext();return reactExports.useLayoutEffect(()=>{if(!S.hasNodes([ImageNode]))throw new Error("[RichEditor] ImagesPlugin: ImageNode not registered on editor");return LexicalUtils_1.mergeRegister(S.registerCommand(INSERT_IMAGE_COMMAND,onInsertImage,Lexical_1.COMMAND_PRIORITY_EDITOR),S.registerCommand(Lexical_1.DRAGSTART_COMMAND,onDragStart,Lexical_1.COMMAND_PRIORITY_HIGH),S.registerCommand(Lexical_1.DRAGOVER_COMMAND,onDragover,Lexical_1.COMMAND_PRIORITY_LOW),S.registerCommand(Lexical_1.DROP_COMMAND,C=>onDrop(C,S),Lexical_1.COMMAND_PRIORITY_HIGH))},[S]),jsxRuntimeExports.jsx(reactExports.Fragment,{})};let _transparentImage;const getTransparentImage=()=>{if(_transparentImage===void 0){const S="data:image/gif;base64,R0lGODlhAQABAIAAAAAAAP///yH5BAEAAAAALAAAAAABAAEAAAIBRAA7";_transparentImage=document.createElement("img"),_transparentImage.src=S}return _transparentImage};function onInsertImage(S){const C=$createImageNode(S);return Lexical_1.$insertNodes([C]),Lexical_1.$isRootOrShadowRoot(C.getParentOrThrow())&&LexicalUtils_1.$wrapNodeInElement(C,Lexical_1.$createParagraphNode).selectEnd(),!0}function onDragStart(S){const C=getImageNodeInSelection();if(!C)return!1;const R=S.dataTransfer;if(!R)return!1;const O=getTransparentImage();return R.setData("text/plain","_"),R.setDragImage(O,0,0),R.setData("application/x-lexical-drag",JSON.stringify({type:RichEditorContentType.IMAGE,data:{alt:C.alt,height:C.height,key:C.getKey(),maxWidth:C.maxWidth,src:C.src,width:C.width}})),!0}function onDragover(S){return getImageNodeInSelection()?(canDropImage(S)||S.preventDefault(),!0):!1}function onDrop(S,C){const R=getImageNodeInSelection();if(!R)return!1;const O=getDragImageData(S);if(!O)return!1;if(S.preventDefault(),canDropImage(S)){const I=getDragSelection(S);R.remove();const N=Lexical_1.$createRangeSelection();I!=null&&N.applyDOMRange(I),Lexical_1.$setSelection(N),C.dispatchCommand(INSERT_IMAGE_COMMAND,O)}return!0}function getImageNodeInSelection(){const S=Lexical_1.$getSelection();if(!Lexical_1.$isNodeSelection(S))return null;const R=S.getNodes()[0];return $isImageNode(R)?R:null}function getDragImageData(S){var R;const C=(R=S.dataTransfer)==null?void 0:R.getData("application/x-lexical-drag");if(!C)return null;try{const{type:O,data:I}=JSON.parse(C);return O===RichEditorContentType.IMAGE?I:null}catch{return null}}function canDropImage(S){const C=S.target;return!!(C&&C instanceof HTMLElement&&!C.closest("code, span.editor-image")&&C.parentElement&&C.parentElement.closest("div.ContentEditable__root"))}const getDOMSelection=S=>CAN_USE_DOM?(S||window).getSelection():null;function getDragSelection(S){const C=S,R=C.target,O=R==null?null:R.nodeType===9?R.defaultView:R.ownerDocument.defaultView,I=getDOMSelection(O);let N;if(document.caretRangeFromPoint)N=document.caretRangeFromPoint(C.clientX,C.clientY);else if(C.rangeParent&&I!==null)I.collapse(C.rangeParent,C.rangeOffset||0),N=I.getRangeAt(0);else throw Error("[RichEditor] ImagesPlugin: Cannot get the selection when dragging");return N}const OnKeyDownPlugin=S=>{const[C]=LexicalComposerContext_1.useLexicalComposerContext(),R=reactExports.useRef(S.onKeyDown);return reactExports.useLayoutEffect(()=>{const O=I=>{var N;(N=R.current)==null||N.call(R,I)};return C.registerRootListener((I,N)=>{N!==null&&N.removeEventListener("keydown",O),I!==null&&I.addEventListener("keydown",O)})},[C]),jsxRuntimeExports.jsx(reactExports.Fragment,{})},PlainContentPastePlugin=()=>{const[S]=LexicalComposerContext_1.useLexicalComposerContext();return reactExports.useLayoutEffect(()=>LexicalUtils_1.mergeRegister(S.registerUpdateListener(C=>{C.tags.has("paste")&&S.update(()=>{C.dirtyLeaves.forEach(R=>{const O=Lexical_1.$getNodeByKey(R);if(Lexical_1.$isTextNode(O)){const I=Lexical_1.$copyNode(O);I.setFormat(0),I.setStyle(""),O.replace(I)}})})}),S.registerNodeTransform(Lexical_1.TextNode,C=>{const R=C.getParentOrThrow();if(LexicalLink_1.$isLinkNode(R)){const O=Lexical_1.$createTextNode(R.__url);R.insertBefore(O),R.remove()}})),[S]),jsxRuntimeExports.jsx(reactExports.Fragment,{})},resetEditorState=S=>C=>{C.update(()=>{const R=Lexical_1.$getRoot();R.clear();for(const O of S)if(O!=null){if(typeof O=="string"){const I=Lexical_1.$createTextNode(O),N=Lexical_1.$createParagraphNode();N.append(I),R.append(N);continue}if(typeof O=="object"){switch(O.type){case RichEditorContentType.IMAGE:{const I=$createImageNode({alt:O.alt,src:O.src}),N=Lexical_1.$createParagraphNode();N.append(I),R.append(N);break}case RichEditorContentType.TEXT:{const I=Lexical_1.$createTextNode(O.value),N=Lexical_1.$createParagraphNode();N.append(I),R.append(N);break}default:throw console.log("item:",O),new TypeError(`[resetEditorState] unknown rich-editor content type: ${O.type}`)}continue}console.error("[resetEditorState] unknown rich-editor data:",O)}})},RootType=Lexical_1.RootNode.getType(),ParagraphType=Lexical_1.ParagraphNode.getType(),TextType=Lexical_1.TextNode.getType(),ImageType=ImageNode.getType(),LineBreakType=Lexical_1.LineBreakNode.getType(),extractEditorData=S=>{const C=S.toJSON(),R=[];for(const I of C.root.children)O(I);return R;function O(I){switch(I.type){case ImageType:{const{src:N,alt:L}=I;if(N.startsWith(FAKE_PROTOCOL)){const B=R[R.length-1];(B==null?void 0:B.type)===RichEditorContentType.TEXT&&(B.value+=`
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-`);break}case ParagraphType:{const N=I.children;for(const L of N)O(L);break}case TextType:{const N=I.text,L=R[R.length-1];(L==null?void 0:L.type)===RichEditorContentType.TEXT?L.value+=N:R.push({type:RichEditorContentType.TEXT,value:N});break}default:throw new TypeError(`[RichEditor] [extractEditorData] Unknown node.type: (${I.type})`)}}},replaceImageSrc=(S,C,R)=>{S.update(()=>{const O=Lexical_1.$getRoot();I(O);function I(N){switch(N.getType()){case RootType:case ParagraphType:for(const L of N.getChildren())I(L);break;case ImageType:{const L=N;if(L.getSrc()===C){const B=$createImageNode({alt:L.getAltText(),src:R});L.replace(B)}break}}}})};class RichEditor extends reactExports.Component{constructor(C){super(C),this.state={floatingAnchorElem:null};const{editable:R=!0,initialContent:O}=this.props;this.initialConfig={namespace:"react-simple-rich-editor",theme:{ltr:"ltr",rtl:"rtl",placeholder:classes.editorPlaceholder,paragraph:classes.editorParagraph},nodes:[ImageNode,LexicalLink_1.LinkNode],editable:R,editorState:O?resetEditorState(O):null,onError:I=>{console.error(I)}},this.onKeyDown=this.onKeyDown.bind(this),this.onFocus=this.onFocus.bind(this),this.onBlur=this.onBlur.bind(this),this.onChange=this.onChange.bind(this),this.onEditorInputWrapperRef=this.onEditorInputWrapperRef.bind(this)}render(){const{initialConfig:C,onKeyDown:R,onFocus:O,onBlur:I,onChange:N,onEditorInputWrapperRef:L}=this,{editable:B=!0,placeholder:j="Enter some text...",pluginsBeforeRichEditors:F=[],pluginsAfterRichEditors:V=[]}=this.props,{floatingAnchorElem:K}=this.state,W=mergeStyles$1(classes.editorContainer,this.props.editorContainerCls),X=mergeStyles$1(classes.editorInput,this.props.editorInputCls),J=mergeStyles$1(classes.editorInputBox,this.props.editorInputBoxCls),oe=mergeStyles$1(classes.editorPlaceholder,this.props.editorPlaceholderCls),pe=jsxRuntimeExports.jsx("div",{ref:L,className:J,children:jsxRuntimeExports.jsx(LexicalContentEditable_1.ContentEditable,{onFocus:O,onBlur:I,className:X})});return jsxRuntimeExports.jsxs(LexicalComposer_1.LexicalComposer,{initialConfig:C,children:[jsxRuntimeExports.jsx(EditablePlugin,{editable:B}),jsxRuntimeExports.jsx(CommandPlugin,{}),jsxRuntimeExports.jsxs("div",{className:W,children:[F,jsxRuntimeExports.jsx(LexicalRichTextPlugin_1.RichTextPlugin,{contentEditable:pe,placeholder:jsxRuntimeExports.jsx("div",{className:oe,children:j}),ErrorBoundary:LexicalErrorBoundary$1}),V,jsxRuntimeExports.jsx(OnKeyDownPlugin,{onKeyDown:R}),jsxRuntimeExports.jsx(LexicalOnChangePlugin_1.OnChangePlugin,{onChange:N}),jsxRuntimeExports.jsx(DragDropPastePlugin,{}),jsxRuntimeExports.jsx(PlainContentPastePlugin,{}),jsxRuntimeExports.jsx(ImagesPlugin,{}),jsxRuntimeExports.jsx(LexicalHistoryPlugin_1.HistoryPlugin,{}),K&&jsxRuntimeExports.jsx(DraggableBlockPlugin,{anchorElem:K})]})]})}onKeyDown(C){var R,O;(O=(R=this.props).onKeyDown)==null||O.call(R,C)}onFocus(C){var R,O;(O=(R=this.props).onFocus)==null||O.call(R,C)}onBlur(C){var R,O;(O=(R=this.props).onBlur)==null||O.call(R,C)}onChange(C){var R,O;(O=(R=this.props).onChange)==null||O.call(R,C)}onEditorInputWrapperRef(C){C!==null&&this.setState({floatingAnchorElem:C})}}const classes=mergeStyleSets({editorContainer:{boxSizing:"border-box",position:"relative"},editorInputBox:{boxSizing:"border-box",overflow:"auto",border:"none",position:"relative",fontWeight:"400",textAlign:"left"},editorInput:{overflow:"auto",boxSizing:"border-box",resize:"none",fontSize:"15px",position:"relative",tabSize:"1",outline:"0","> :last-child":{marginBottom:0}},editorPlaceholder:{boxSizing:"border-box",color:"#999",overflow:"hidden",position:"absolute",textOverflow:"ellipsis",top:"0px",left:"0px",fontSize:"15px",userSelect:"none",display:"inline-block",pointerEvents:"none",width:"100%"},editorParagraph:{margin:"0 0 15px 0",position:"relative"}}),ReactRichEditor=reactExports.forwardRef((S,C)=>{const[R]=reactExports.useState(()=>new RichEditorViewModel({extractEditorData,replaceImageSrc,resetEditorState})),O=reactExports.useMemo(()=>({viewmodel:R}),[R]);return R.resolveUrlByFile$.next(S.resolveUrlByFile),R.resolveUrlByPath$.next(S.resolveUrlByPath),reactExports.useImperativeHandle(C,()=>({focus:()=>{O.viewmodel.focus()},getContent:()=>O.viewmodel.getContent(),insert:I=>{O.viewmodel.insert(I)},isEmpty:()=>O.viewmodel.isEmpty(),replaceImageSrc:(I,N)=>{O.viewmodel.replaceImageSrc(I,N)},reset:I=>{O.viewmodel.reset(I)}})),jsxRuntimeExports.jsx(RichEditorContextType.Provider,{value:O,children:jsxRuntimeExports.jsx(RichEditor,{...S})})});ReactRichEditor.displayName="ReactRichEditor";const AutoResizeTextBoxPlugin=S=>{const{viewmodel:C}=useRichEditorContext(),{maxHeight:R}=S,O=useAutoResize();return reactExports.useLayoutEffect(()=>{C.maxHeight$.setState(R),O(),setTimeout(O,1e3)},[R,O]),jsxRuntimeExports.jsx(LexicalOnChangePlugin_1.OnChangePlugin,{onChange:O,ignoreHistoryMergeTagChange:!0,ignoreSelectionChange:!0})},InspectPlugin=S=>{const[C]=LexicalComposerContext_1.useLexicalComposerContext(),R=useEventCallback(O=>{var N;return(((N=S.inspectImageUrl)==null?void 0:N.call(S,O))??"good")==="good"});return reactExports.useLayoutEffect(()=>LexicalUtils_1.mergeRegister(C.registerNodeTransform(ImageNode,O=>{if(!R(O.src)){const I=Lexical_1.$createTextNode(O.src);O.insertBefore(I),O.remove()}})),[C,R]),jsxRuntimeExports.jsx(reactExports.Fragment,{})},pfImageKeyPattern=/^data:image\//,isPfImage=S=>{if(!S||typeof S!="object")return!1;const C=Object.keys(S);return C.length===1&&pfImageKeyPattern.test(C[0])};function isPFChatInputItem(S){return typeof S=="string"?!0:S?isPfImage(S)?!0:typeof S=="object"&&typeof S.type=="string":!1}function isNonBlankPFChatInputs(S){return!Array.isArray(S)||S.length<1?!1:S.every(isPFChatInputItem)}const PFPastePlugin=()=>{const{viewmodel:S}=useRichEditorContext();return reactExports.useLayoutEffect(()=>{const C=S.requiredEditor;if(!C.hasNodes([ImageNode]))throw new Error("[RichEditor] PFPastePlugin: ImageNode not registered on editor");return C.registerCommand(Lexical_1.PASTE_COMMAND,R=>{var N;const O=(N=R.clipboardData)==null?void 0:N.getData("Text");if(O){let L=!1;try{const B=JSON.parse(O);isNonBlankPFChatInputs(B)&&(L=!0,I(B))}catch{L=!1}return L}return!1;async function I(L){const B=[];for(const j of L){if(typeof j=="string"){B.push({type:RichEditorContentType.TEXT,value:j});continue}if(isPfImage(j)){const F=Object.keys(j)[0],V=j[F];B.push({type:RichEditorContentType.IMAGE,src:V,alt:"image"});continue}switch(j.type){case"text":{B.push({type:RichEditorContentType.TEXT,value:j.text});break}case"image_file":{B.push({type:RichEditorContentType.IMAGE,src:j.image_file.path,alt:j.image_file.path});break}case"image_url":{B.push({type:RichEditorContentType.IMAGE,src:j.image_url.url,alt:j.image_url.url});break}}}S.insert(B)}},Lexical_1.COMMAND_PRIORITY_EDITOR)},[S]),jsxRuntimeExports.jsx(reactExports.Fragment,{})},index=Object.freeze(Object.defineProperty({__proto__:null,ACCEPTABLE_IMAGE_TYPES,AutoResizeTextBoxPlugin,CAN_USE_DOM,DragDropPastePlugin,DraggableBlockPlugin,FAKE_PROTOCOL,ImagesPlugin,InspectPlugin,PFPastePlugin,ReactRichEditor,RichEditorContentType,RichEditorContextType,RichEditorViewModel,isNonBlankPFChatInputs,isPFChatInputItem,isPfImage,useRichEditorContext},Symbol.toStringTag,{value:"Module"}))})();
diff --git a/src/promptflow/promptflow/_sdk/_service/static/favicon.ico b/src/promptflow/promptflow/_sdk/_service/static/favicon.ico
deleted file mode 100644
index 8616856d822..00000000000
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diff --git a/src/promptflow/promptflow/_sdk/_service/templates/index.html b/src/promptflow/promptflow/_sdk/_service/templates/index.html
deleted file mode 100644
index 3e1c435c41c..00000000000
--- a/src/promptflow/promptflow/_sdk/_service/templates/index.html
+++ /dev/null
@@ -1,13 +0,0 @@
-<!doctype html>
-<html lang="en">
-  <head>
-    <meta charset="UTF-8" />
-    <meta name="viewport" content="width=device-width, initial-scale=1.0" />
-    <link rel="icon" href="{{ url_for('static', filename='favicon.ico') }}" />
-    <title>Promptflow traces</title>
-  </head>
-  <body>
-    <div id="root"></div>
-    <script src="{{ url_for('static', filename='TraceViewPage.min.js') }}"></script>
-  </body>
-</html>
diff --git a/src/promptflow/promptflow/_sdk/entities/_flow.py b/src/promptflow/promptflow/_sdk/entities/_flow.py
deleted file mode 100644
index 390d262f960..00000000000
--- a/src/promptflow/promptflow/_sdk/entities/_flow.py
+++ /dev/null
@@ -1,398 +0,0 @@
-# ---------------------------------------------------------
-# Copyright (c) Microsoft Corporation. All rights reserved.
-# ---------------------------------------------------------
-
-import abc
-import json
-from os import PathLike
-from pathlib import Path
-from typing import Dict, Optional, Tuple, Union
-
-from marshmallow import Schema
-
-from promptflow._constants import LANGUAGE_KEY, FlowLanguage
-from promptflow._sdk._constants import (
-    BASE_PATH_CONTEXT_KEY,
-    DAG_FILE_NAME,
-    DEFAULT_ENCODING,
-    FLOW_TOOLS_JSON,
-    PROMPT_FLOW_DIR_NAME,
-)
-from promptflow._sdk.entities._connection import _Connection
-from promptflow._sdk.entities._validation import SchemaValidatableMixin
-from promptflow._utils.flow_utils import resolve_flow_path
-from promptflow._utils.logger_utils import get_cli_sdk_logger
-from promptflow._utils.yaml_utils import load_yaml, load_yaml_string
-from promptflow.exceptions import ErrorTarget, UserErrorException
-
-logger = get_cli_sdk_logger()
-
-
-class FlowContext:
-    """Flow context entity. the settings on this context will be applied to the flow when executing.
-
-    :param connections: Connections for the flow.
-    :type connections: Optional[Dict[str, Dict]]
-    :param variant: Variant of the flow.
-    :type variant: Optional[str]
-    :param variant: Overrides of the flow.
-    :type variant: Optional[Dict[str, Dict]]
-    :param streaming: Whether the flow's output need to be return in streaming mode.
-    :type streaming: Optional[bool]
-    """
-
-    def __init__(
-        self,
-        *,
-        connections=None,
-        variant=None,
-        overrides=None,
-        streaming=None,
-    ):
-        self.connections, self._connection_objs = connections or {}, {}
-        self.variant = variant
-        self.overrides = overrides or {}
-        self.streaming = streaming
-        # TODO: introduce connection provider support
-
-    def _resolve_connections(self):
-        # resolve connections and create placeholder for connection objects
-        for _, v in self.connections.items():
-            if isinstance(v, dict):
-                for k, conn in v.items():
-                    if isinstance(conn, _Connection):
-                        name = self._get_connection_obj_name(conn)
-                        v[k] = name
-                        self._connection_objs[name] = conn
-
-    @classmethod
-    def _get_connection_obj_name(cls, connection: _Connection):
-        # create a unique connection name for connection obj
-        # will generate same name if connection has same content
-        connection_dict = connection._to_dict()
-        connection_name = f"connection_{hash(json.dumps(connection_dict, sort_keys=True))}"
-        return connection_name
-
-    def _to_dict(self):
-        return {
-            "connections": self.connections,
-            "variant": self.variant,
-            "overrides": self.overrides,
-            "streaming": self.streaming,
-        }
-
-    def __eq__(self, other):
-        if isinstance(other, FlowContext):
-            return self._to_dict() == other._to_dict()
-        return False
-
-    def __hash__(self):
-        self._resolve_connections()
-        return hash(json.dumps(self._to_dict(), sort_keys=True))
-
-
-class FlowBase(abc.ABC):
-    def __init__(self, *, data: dict, code: Path, path: Path, **kwargs):
-        self._context = FlowContext()
-        # flow.dag.yaml's content if provided
-        self._data = data
-        # working directory of the flow
-        self._code = Path(code).resolve()
-        # flow file path, can be script file or flow definition YAML file
-        self._path = Path(path).resolve()
-        # hash of flow's entry file, used to skip invoke if entry file is not changed
-        self._content_hash = kwargs.pop("content_hash", None)
-        super().__init__(**kwargs)
-
-    @property
-    def context(self) -> FlowContext:
-        return self._context
-
-    @context.setter
-    def context(self, val):
-        if not isinstance(val, FlowContext):
-            raise UserErrorException("context must be a FlowContext object, got {type(val)} instead.")
-        self._context = val
-
-    @property
-    def code(self) -> Path:
-        """Working directory of the flow."""
-        return self._code
-
-    @property
-    def path(self) -> Path:
-        """Flow file path. Can be script file or flow definition YAML file."""
-        return self._path
-
-    @property
-    def language(self) -> str:
-        """Language of the flow."""
-        return self._data.get(LANGUAGE_KEY, FlowLanguage.Python)
-
-    @property
-    def additional_includes(self) -> list:
-        """Additional includes of the flow."""
-        return self._data.get("additional_includes", [])
-
-    @classmethod
-    # pylint: disable=unused-argument
-    def _resolve_cls_and_type(cls, data, params_override):
-        """Resolve the class to use for deserializing the data. Return current class if no override is provided.
-        :param data: Data to deserialize.
-        :type data: dict
-        :param params_override: Parameters to override, defaults to None
-        :type params_override: typing.Optional[list]
-        :return: Class to use for deserializing the data & its "type". Type will be None if no override is provided.
-        :rtype: tuple[class, typing.Optional[str]]
-        """
-        return cls, "flow"
-
-
-class Flow(FlowBase):
-    """This class is used to represent a flow."""
-
-    def __init__(
-        self,
-        code: Union[str, PathLike],
-        path: Union[str, PathLike],
-        dag: dict,
-        **kwargs,
-    ):
-        self.variant = kwargs.pop("variant", None) or {}
-        super().__init__(data=dag, code=code, path=path, **kwargs)
-
-    @classmethod
-    def _is_eager_flow(cls, data: dict):
-        """Check if the flow is an eager flow. Use field 'entry' to determine."""
-        # If entry specified, it's an eager flow.
-        return data.get("entry")
-
-    @classmethod
-    def load(
-        cls,
-        source: Union[str, PathLike],
-        entry: str = None,
-        raise_error=True,
-        **kwargs,
-    ):
-        from promptflow._sdk.entities._eager_flow import EagerFlow
-
-        source_path = Path(source)
-        if not source_path.exists():
-            raise UserErrorException(f"Source {source_path.absolute().as_posix()} does not exist")
-        flow_path = resolve_flow_path(source_path)
-        if not flow_path.exists():
-            raise UserErrorException(f"Flow file {flow_path.absolute().as_posix()} does not exist")
-        if flow_path.suffix in [".yaml", ".yml"]:
-            # read flow file to get hash
-            with open(flow_path, "r", encoding=DEFAULT_ENCODING) as f:
-                flow_content = f.read()
-                data = load_yaml_string(flow_content)
-                content_hash = hash(flow_content)
-            is_eager_flow = cls._is_eager_flow(data)
-            is_async_call = kwargs.pop("is_async_call", False)
-            if is_eager_flow:
-                return EagerFlow._load(path=flow_path, data=data, raise_error=raise_error, **kwargs)
-            else:
-                # TODO: schema validation and warning on unknown fields
-                if is_async_call:
-                    return AsyncProtectedFlow._load(path=flow_path, dag=data, content_hash=content_hash, **kwargs)
-                else:
-                    return ProtectedFlow._load(path=flow_path, dag=data, content_hash=content_hash, **kwargs)
-        # if non-YAML file is provided, raise user error exception
-        raise UserErrorException("Source must be a directory or a 'flow.dag.yaml' file")
-
-    def _init_executable(self, tuning_node=None, variant=None):
-        from promptflow._sdk._submitter import variant_overwrite_context
-        from promptflow.contracts.flow import Flow as ExecutableFlow
-
-        if not tuning_node and not variant:
-            # for DAG flow, use data to init executable to improve performance
-            return ExecutableFlow._from_dict(flow_dag=self._data, working_dir=self.code)
-
-        # TODO: check if there is potential bug here
-        # this is a little wired:
-        # 1. the executable is created from a temp folder when there is additional includes
-        # 2. after the executable is returned, the temp folder is deleted
-        with variant_overwrite_context(self, tuning_node, variant) as flow:
-
-            return ExecutableFlow.from_yaml(flow_file=flow.path, working_dir=flow.code)
-
-    def __eq__(self, other):
-        if isinstance(other, Flow):
-            return self._content_hash == other._content_hash and self.context == other.context
-        return False
-
-    def __hash__(self):
-        return hash(self.context) ^ self._content_hash
-
-
-class ProtectedFlow(Flow, SchemaValidatableMixin):
-    """This class is used to hide internal interfaces from user.
-
-    User interface should be carefully designed to avoid breaking changes, while developers may need to change internal
-    interfaces to improve the code quality. On the other hand, making all internal interfaces private will make it
-    strange to use them everywhere inside this package.
-
-    Ideally, developers should always initialize ProtectedFlow object instead of Flow object.
-    """
-
-    def __init__(
-        self,
-        path: Path,
-        code: Path,
-        dag: dict,
-        params_override: Optional[Dict] = None,
-        **kwargs,
-    ):
-        super().__init__(path=path, code=code, dag=dag, **kwargs)
-
-        self._flow_dir, self._dag_file_name = self._get_flow_definition(self.code)
-        self._executable = None
-        self._params_override = params_override
-
-    @classmethod
-    def _load(cls, path: Path, dag: dict, **kwargs):
-        return cls(path=path, code=path.parent, dag=dag, **kwargs)
-
-    @property
-    def flow_dag_path(self) -> Path:
-        return self._flow_dir / self._dag_file_name
-
-    @property
-    def name(self) -> str:
-        return self._flow_dir.name
-
-    @property
-    def display_name(self) -> str:
-        return self._data.get("display_name", self.name)
-
-    @property
-    def tools_meta_path(self) -> Path:
-        target_path = self._flow_dir / PROMPT_FLOW_DIR_NAME / FLOW_TOOLS_JSON
-        target_path.parent.mkdir(parents=True, exist_ok=True)
-        return target_path
-
-    @classmethod
-    def _get_flow_definition(cls, flow, base_path=None) -> Tuple[Path, str]:
-        if base_path:
-            flow_path = Path(base_path) / flow
-        else:
-            flow_path = Path(flow)
-
-        if flow_path.is_dir() and (flow_path / DAG_FILE_NAME).is_file():
-            return flow_path, DAG_FILE_NAME
-        elif flow_path.is_file():
-            return flow_path.parent, flow_path.name
-
-        raise ValueError(f"Can't find flow with path {flow_path.as_posix()}.")
-
-    # region SchemaValidatableMixin
-    @classmethod
-    def _create_schema_for_validation(cls, context) -> Schema:
-        # import here to avoid circular import
-        from ..schemas._flow import FlowSchema
-
-        return FlowSchema(context=context)
-
-    def _default_context(self) -> dict:
-        return {BASE_PATH_CONTEXT_KEY: self._flow_dir}
-
-    def _create_validation_error(self, message, no_personal_data_message=None):
-        return UserErrorException(
-            message=message,
-            target=ErrorTarget.CONTROL_PLANE_SDK,
-            no_personal_data_message=no_personal_data_message,
-        )
-
-    def _dump_for_validation(self) -> Dict:
-        # Flow is read-only in control plane, so we always dump the flow from file
-        data = load_yaml(self.flow_dag_path)
-        if isinstance(self._params_override, dict):
-            data.update(self._params_override)
-        return data
-
-    # endregion
-
-    # region MLFlow model requirements
-    @property
-    def inputs(self):
-        # This is used for build mlflow model signature.
-        if not self._executable:
-            self._executable = self._init_executable()
-        return {k: v.type.value for k, v in self._executable.inputs.items()}
-
-    @property
-    def outputs(self):
-        # This is used for build mlflow model signature.
-        if not self._executable:
-            self._executable = self._init_executable()
-        return {k: v.type.value for k, v in self._executable.outputs.items()}
-
-    # endregion
-
-    def __call__(self, *args, **kwargs):
-        """Calling flow as a function, the inputs should be provided with key word arguments.
-        Returns the output of the flow.
-        The function call throws UserErrorException: if the flow is not valid or the inputs are not valid.
-        SystemErrorException: if the flow execution failed due to unexpected executor error.
-
-        :param args: positional arguments are not supported.
-        :param kwargs: flow inputs with key word arguments.
-        :return:
-        """
-
-        if args:
-            raise UserErrorException("Flow can only be called with keyword arguments.")
-
-        result = self.invoke(inputs=kwargs)
-        return result.output
-
-    def invoke(self, inputs: dict) -> "LineResult":
-        """Invoke a flow and get a LineResult object."""
-        from promptflow._sdk._submitter import TestSubmitter
-        from promptflow._sdk.operations._flow_context_resolver import FlowContextResolver
-
-        if self.language == FlowLanguage.CSharp:
-            with TestSubmitter(flow=self, flow_context=self.context).init(
-                stream_output=self.context.streaming
-            ) as submitter:
-                result = submitter.flow_test(inputs=inputs, allow_generator_output=self.context.streaming)
-                return result
-        else:
-            invoker = FlowContextResolver.resolve(flow=self)
-            result = invoker._invoke(
-                data=inputs,
-            )
-            return result
-
-
-class AsyncProtectedFlow(ProtectedFlow):
-    """This class is used to represent an async flow."""
-
-    async def __call__(self, *args, **kwargs):
-        if args:
-            raise UserErrorException("Flow can only be called with keyword arguments.")
-
-        result = await self.invoke_async(inputs=kwargs)
-        return result.output
-
-    async def invoke_async(self, inputs: dict) -> "LineResult":
-        """Invoke a flow and get a LineResult object."""
-        from promptflow._sdk._submitter import TestSubmitter
-        from promptflow._sdk.operations._flow_context_resolver import FlowContextResolver
-
-        if self.language == FlowLanguage.CSharp:
-            # Sync C# calling
-            # TODO: Async C# support: Task(3002242)
-            with TestSubmitter(flow=self, flow_context=self.context).init(
-                stream_output=self.context.streaming
-            ) as submitter:
-                result = submitter.flow_test(inputs=inputs, allow_generator_output=self.context.streaming)
-                return result
-        else:
-            invoker = FlowContextResolver.resolve_async_invoker(flow=self)
-            result = await invoker._invoke_async(
-                data=inputs,
-            )
-            return result
diff --git a/src/promptflow/promptflow/_sdk/entities/_trace.py b/src/promptflow/promptflow/_sdk/entities/_trace.py
deleted file mode 100644
index 045b112b266..00000000000
--- a/src/promptflow/promptflow/_sdk/entities/_trace.py
+++ /dev/null
@@ -1,348 +0,0 @@
-# ---------------------------------------------------------
-# Copyright (c) Microsoft Corporation. All rights reserved.
-# ---------------------------------------------------------
-
-import copy
-import datetime
-import json
-import typing
-from dataclasses import dataclass
-
-from google.protobuf.json_format import MessageToJson
-from opentelemetry.proto.trace.v1.trace_pb2 import Span as PBSpan
-
-from promptflow._constants import (
-    DEFAULT_SPAN_TYPE,
-    SpanAttributeFieldName,
-    SpanContextFieldName,
-    SpanEventFieldName,
-    SpanFieldName,
-    SpanLinkFieldName,
-    SpanResourceAttributesFieldName,
-    SpanResourceFieldName,
-    SpanStatusFieldName,
-)
-from promptflow._sdk._constants import CumulativeTokenCountFieldName
-from promptflow._sdk._orm.trace import Span as ORMSpan
-from promptflow._sdk._utils import (
-    convert_time_unix_nano_to_timestamp,
-    flatten_pb_attributes,
-    json_loads_parse_const_as_str,
-    parse_otel_span_status_code,
-)
-
-
-class Span:
-    """Span is exactly the same as OpenTelemetry Span."""
-
-    def __init__(
-        self,
-        name: str,
-        context: typing.Dict[str, str],
-        kind: str,
-        start_time: str,
-        end_time: str,
-        status: str,
-        attributes: typing.Dict[str, str],
-        resource: typing.Dict,
-        # should come from attributes
-        span_type: str,
-        session_id: str,
-        # optional fields
-        parent_span_id: typing.Optional[str] = None,
-        events: typing.Optional[typing.List] = None,
-        links: typing.Optional[typing.List] = None,
-        # prompt flow concepts
-        path: typing.Optional[str] = None,
-        run: typing.Optional[str] = None,
-        experiment: typing.Optional[str] = None,
-    ):
-        self.name = name
-        self.span_id = context[SpanContextFieldName.SPAN_ID]
-        self.trace_id = context[SpanContextFieldName.TRACE_ID]
-        self.span_type = span_type
-        self.parent_span_id = parent_span_id
-        self.session_id = session_id
-        self.path = path
-        self.run = run
-        self.experiment = experiment
-        self._content = {
-            SpanFieldName.NAME: self.name,
-            SpanFieldName.CONTEXT: copy.deepcopy(context),
-            SpanFieldName.KIND: kind,
-            SpanFieldName.PARENT_ID: self.parent_span_id,
-            SpanFieldName.START_TIME: start_time,
-            SpanFieldName.END_TIME: end_time,
-            SpanFieldName.STATUS: status,
-            SpanFieldName.ATTRIBUTES: copy.deepcopy(attributes),
-            SpanFieldName.EVENTS: copy.deepcopy(events),
-            SpanFieldName.LINKS: copy.deepcopy(links),
-            SpanFieldName.RESOURCE: copy.deepcopy(resource),
-        }
-
-    def _persist(self) -> None:
-        self._to_orm_object().persist()
-
-    @staticmethod
-    def _from_orm_object(obj: ORMSpan) -> "Span":
-        content = json.loads(obj.content)
-        return Span(
-            name=obj.name,
-            context=content[SpanFieldName.CONTEXT],
-            kind=content[SpanFieldName.KIND],
-            start_time=content[SpanFieldName.START_TIME],
-            end_time=content[SpanFieldName.END_TIME],
-            status=content[SpanFieldName.STATUS],
-            attributes=content[SpanFieldName.ATTRIBUTES],
-            resource=content[SpanFieldName.RESOURCE],
-            span_type=obj.span_type,
-            session_id=obj.session_id,
-            parent_span_id=obj.parent_span_id,
-            events=content[SpanFieldName.EVENTS],
-            links=content[SpanFieldName.LINKS],
-            path=obj.path,
-            run=obj.run,
-            experiment=obj.experiment,
-        )
-
-    def _to_orm_object(self) -> ORMSpan:
-        return ORMSpan(
-            name=self.name,
-            trace_id=self.trace_id,
-            span_id=self.span_id,
-            parent_span_id=self.parent_span_id,
-            span_type=self.span_type,
-            session_id=self.session_id,
-            content=json.dumps(self._content),
-            path=self.path,
-            run=self.run,
-            experiment=self.experiment,
-        )
-
-    @staticmethod
-    def _from_protobuf_events(obj: typing.List[PBSpan.Event]) -> typing.List[typing.Dict]:
-        events = []
-        if len(obj) == 0:
-            return events
-        for pb_event in obj:
-            event_dict: dict = json.loads(MessageToJson(pb_event))
-            event = {
-                SpanEventFieldName.NAME: pb_event.name,
-                SpanEventFieldName.TIMESTAMP: convert_time_unix_nano_to_timestamp(pb_event.time_unix_nano),
-                SpanEventFieldName.ATTRIBUTES: flatten_pb_attributes(
-                    event_dict.get(SpanEventFieldName.ATTRIBUTES, dict())
-                ),
-            }
-            events.append(event)
-        return events
-
-    @staticmethod
-    def _from_protobuf_links(obj: typing.List[PBSpan.Link]) -> typing.List[typing.Dict]:
-        links = []
-        if len(obj) == 0:
-            return links
-        for pb_link in obj:
-            link_dict: dict = json.loads(MessageToJson(pb_link))
-            link = {
-                SpanLinkFieldName.CONTEXT: {
-                    SpanContextFieldName.TRACE_ID: pb_link.trace_id.hex(),
-                    SpanContextFieldName.SPAN_ID: pb_link.span_id.hex(),
-                    SpanContextFieldName.TRACE_STATE: pb_link.trace_state,
-                },
-                SpanLinkFieldName.ATTRIBUTES: flatten_pb_attributes(
-                    link_dict.get(SpanLinkFieldName.ATTRIBUTES, dict())
-                ),
-            }
-            links.append(link)
-        return links
-
-    @staticmethod
-    def _from_protobuf_object(obj: PBSpan, resource: typing.Dict) -> "Span":
-        span_dict: dict = json.loads(MessageToJson(obj))
-        span_id = obj.span_id.hex()
-        trace_id = obj.trace_id.hex()
-        context = {
-            SpanContextFieldName.TRACE_ID: trace_id,
-            SpanContextFieldName.SPAN_ID: span_id,
-            SpanContextFieldName.TRACE_STATE: obj.trace_state,
-        }
-        parent_span_id = obj.parent_span_id.hex()
-        start_time = convert_time_unix_nano_to_timestamp(obj.start_time_unix_nano)
-        end_time = convert_time_unix_nano_to_timestamp(obj.end_time_unix_nano)
-        status = {
-            SpanStatusFieldName.STATUS_CODE: parse_otel_span_status_code(obj.status.code),
-            SpanStatusFieldName.DESCRIPTION: obj.status.message,
-        }
-        # we have observed in some scenarios, there is not `attributes` field
-        attributes = flatten_pb_attributes(span_dict.get(SpanFieldName.ATTRIBUTES, dict()))
-        # `span_type` are not standard fields in OpenTelemetry attributes
-        # for example, LangChain instrumentation, as we do not inject this;
-        # so we need to get it with default value to avoid KeyError
-        span_type = attributes.get(SpanAttributeFieldName.SPAN_TYPE, DEFAULT_SPAN_TYPE)
-
-        # parse from resource.attributes: session id, experiment
-        resource_attributes: dict = resource[SpanResourceFieldName.ATTRIBUTES]
-        session_id = resource_attributes[SpanResourceAttributesFieldName.SESSION_ID]
-        experiment = resource_attributes.get(SpanResourceAttributesFieldName.EXPERIMENT_NAME, None)
-
-        events = Span._from_protobuf_events(obj.events)
-        links = Span._from_protobuf_links(obj.links)
-
-        # if `batch_run_id` exists, record the run
-        run = attributes.get(SpanAttributeFieldName.BATCH_RUN_ID, None)
-
-        return Span(
-            name=obj.name,
-            context=context,
-            kind=obj.kind,
-            start_time=start_time,
-            end_time=end_time,
-            status=status,
-            attributes=attributes,
-            resource=resource,
-            span_type=span_type,
-            session_id=session_id,
-            parent_span_id=parent_span_id,
-            events=events,
-            links=links,
-            run=run,
-            experiment=experiment,
-        )
-
-
-@dataclass
-class _LineRunData:
-    """Basic data structure for line run, no matter if it is a main or evaluation."""
-
-    line_run_id: str
-    trace_id: str
-    root_span_id: str
-    inputs: typing.Dict
-    outputs: typing.Dict
-    start_time: str
-    end_time: str
-    status: str
-    latency: float
-    display_name: str
-    kind: str
-    cumulative_token_count: typing.Optional[typing.Dict[str, int]]
-
-    def _from_root_span(span: Span) -> "_LineRunData":
-        attributes: dict = span._content[SpanFieldName.ATTRIBUTES]
-        line_run_id = span.trace_id
-        start_time = datetime.datetime.fromisoformat(span._content[SpanFieldName.START_TIME])
-        end_time = datetime.datetime.fromisoformat(span._content[SpanFieldName.END_TIME])
-        # calculate `cumulative_token_count`
-        completion_token_count = int(attributes.get(SpanAttributeFieldName.COMPLETION_TOKEN_COUNT, 0))
-        prompt_token_count = int(attributes.get(SpanAttributeFieldName.PROMPT_TOKEN_COUNT, 0))
-        total_token_count = int(attributes.get(SpanAttributeFieldName.TOTAL_TOKEN_COUNT, 0))
-        # if there is no token usage, set `cumulative_token_count` to None
-        if total_token_count > 0:
-            cumulative_token_count = {
-                CumulativeTokenCountFieldName.COMPLETION: completion_token_count,
-                CumulativeTokenCountFieldName.PROMPT: prompt_token_count,
-                CumulativeTokenCountFieldName.TOTAL: total_token_count,
-            }
-        else:
-            cumulative_token_count = None
-        return _LineRunData(
-            line_run_id=line_run_id,
-            trace_id=span.trace_id,
-            root_span_id=span.span_id,
-            # for standard OpenTelemetry traces, there won't be `inputs` and `outputs` in attributes
-            inputs=json_loads_parse_const_as_str(attributes.get(SpanAttributeFieldName.INPUTS, "{}")),
-            outputs=json_loads_parse_const_as_str(attributes.get(SpanAttributeFieldName.OUTPUT, "{}")),
-            start_time=start_time.isoformat(),
-            end_time=end_time.isoformat(),
-            status=span._content[SpanFieldName.STATUS][SpanStatusFieldName.STATUS_CODE],
-            latency=(end_time - start_time).total_seconds(),
-            display_name=span.name,
-            kind=attributes.get(SpanAttributeFieldName.SPAN_TYPE, span.span_type),
-            cumulative_token_count=cumulative_token_count,
-        )
-
-
-@dataclass
-class LineRun:
-    """Line run is an abstraction of spans related to prompt flow."""
-
-    line_run_id: str
-    trace_id: str
-    root_span_id: str
-    inputs: typing.Dict
-    outputs: typing.Dict
-    start_time: str
-    end_time: str
-    status: str
-    latency: float
-    name: str
-    kind: str
-    cumulative_token_count: typing.Optional[typing.Dict[str, int]] = None
-    evaluations: typing.Optional[typing.Dict[str, _LineRunData]] = None
-
-    @staticmethod
-    def _from_spans(spans: typing.List[Span]) -> typing.Optional["LineRun"]:
-        main_line_run_data: _LineRunData = None
-        evaluations = dict()
-        for span in spans:
-            if span.parent_span_id:
-                continue
-            attributes = span._content[SpanFieldName.ATTRIBUTES]
-            if (
-                SpanAttributeFieldName.REFERENCED_LINE_RUN_ID in attributes  # test scenario
-                or SpanAttributeFieldName.REFERENCED_BATCH_RUN_ID in attributes  # batch run scenario
-            ):
-                evaluations[span.name] = _LineRunData._from_root_span(span)
-            elif SpanAttributeFieldName.LINE_RUN_ID in attributes:
-                main_line_run_data = _LineRunData._from_root_span(span)
-            else:
-                # eager flow/arbitrary script
-                main_line_run_data = _LineRunData._from_root_span(span)
-        # main line run span is absent, ignore this line run
-        # this may happen when the line is still executing, or terminated;
-        # or the line run is killed before the traces exported
-        if main_line_run_data is None:
-            return None
-
-        return LineRun(
-            line_run_id=main_line_run_data.line_run_id,
-            trace_id=main_line_run_data.trace_id,
-            root_span_id=main_line_run_data.root_span_id,
-            inputs=main_line_run_data.inputs,
-            outputs=main_line_run_data.outputs,
-            start_time=main_line_run_data.start_time,
-            end_time=main_line_run_data.end_time,
-            status=main_line_run_data.status,
-            latency=main_line_run_data.latency,
-            name=main_line_run_data.display_name,
-            kind=main_line_run_data.kind,
-            cumulative_token_count=main_line_run_data.cumulative_token_count,
-            evaluations=evaluations,
-        )
-
-    @staticmethod
-    def _from_run_and_spans(run: str, spans: typing.List[Span]) -> typing.Optional["LineRun"]:
-        main_line_run_data: _LineRunData = None
-        evaluations = dict()
-        for span in spans:
-            attributes = span._content[SpanFieldName.ATTRIBUTES]
-            batch_run_id = attributes[SpanAttributeFieldName.BATCH_RUN_ID]
-            if batch_run_id == run:
-                main_line_run_data = _LineRunData._from_root_span(span)
-            else:
-                evaluations[span.name] = _LineRunData._from_root_span(span)
-        return LineRun(
-            line_run_id=main_line_run_data.line_run_id,
-            trace_id=main_line_run_data.trace_id,
-            root_span_id=main_line_run_data.root_span_id,
-            inputs=main_line_run_data.inputs,
-            outputs=main_line_run_data.outputs,
-            start_time=main_line_run_data.start_time,
-            end_time=main_line_run_data.end_time,
-            status=main_line_run_data.status,
-            latency=main_line_run_data.latency,
-            name=main_line_run_data.display_name,
-            kind=main_line_run_data.kind,
-            cumulative_token_count=main_line_run_data.cumulative_token_count,
-            evaluations=evaluations,
-        )
diff --git a/src/promptflow/promptflow/_sdk/operations/_trace_operations.py b/src/promptflow/promptflow/_sdk/operations/_trace_operations.py
deleted file mode 100644
index 304a91ab15f..00000000000
--- a/src/promptflow/promptflow/_sdk/operations/_trace_operations.py
+++ /dev/null
@@ -1,132 +0,0 @@
-# ---------------------------------------------------------
-# Copyright (c) Microsoft Corporation. All rights reserved.
-# ---------------------------------------------------------
-
-import copy
-import json
-import typing
-
-from promptflow._constants import SpanAttributeFieldName, SpanFieldName
-from promptflow._sdk._orm.trace import LineRun as ORMLineRun
-from promptflow._sdk._orm.trace import Span as ORMSpan
-from promptflow._sdk.entities._trace import LineRun, Span
-
-
-class TraceOperations:
-    def list_spans(
-        self,
-        session_id: typing.Optional[str] = None,
-        trace_ids: typing.Optional[typing.List[str]] = None,
-    ) -> typing.List[Span]:
-        orm_spans = ORMSpan.list(
-            session_id=session_id,
-            trace_ids=trace_ids,
-        )
-        return [Span._from_orm_object(orm_span) for orm_span in orm_spans]
-
-    def list_line_runs(
-        self,
-        session_id: typing.Optional[str] = None,
-        runs: typing.Optional[typing.List[str]] = None,
-        experiments: typing.Optional[typing.List[str]] = None,
-    ) -> typing.List[LineRun]:
-        # separate query with runs
-        if runs is not None:
-            return self._list_line_runs_with_runs(runs)
-
-        line_runs = []
-        orm_spans_group_by_trace_id = ORMLineRun.list(
-            session_id=session_id,
-            experiments=experiments,
-        )
-        # merge spans with same `line_run_id` or `referenced.line_run_id` (if exists)
-        grouped_orm_spans = {}
-        for orm_spans in orm_spans_group_by_trace_id:
-            first_orm_span = orm_spans[0]
-            attributes = json.loads(first_orm_span.content)[SpanFieldName.ATTRIBUTES]
-            if (
-                SpanAttributeFieldName.LINE_RUN_ID not in attributes
-                and SpanAttributeFieldName.BATCH_RUN_ID not in attributes
-            ):
-                # standard OpenTelemetry trace, regard as a line run
-                grouped_orm_spans[first_orm_span.trace_id] = copy.deepcopy(orm_spans)
-            elif SpanAttributeFieldName.LINE_RUN_ID in attributes:
-                # test scenario
-                if SpanAttributeFieldName.REFERENCED_LINE_RUN_ID not in attributes:
-                    # main flow
-                    line_run_id = attributes[SpanAttributeFieldName.LINE_RUN_ID]
-                    if line_run_id not in grouped_orm_spans:
-                        grouped_orm_spans[line_run_id] = []
-                    grouped_orm_spans[line_run_id].extend(copy.deepcopy(orm_spans))
-                else:
-                    # evaluation flow
-                    referenced_line_run_id = attributes[SpanAttributeFieldName.REFERENCED_LINE_RUN_ID]
-                    if referenced_line_run_id not in grouped_orm_spans:
-                        grouped_orm_spans[referenced_line_run_id] = []
-                    grouped_orm_spans[referenced_line_run_id].extend(copy.deepcopy(orm_spans))
-            elif SpanAttributeFieldName.BATCH_RUN_ID in attributes:
-                # batch run scenario
-                if SpanAttributeFieldName.REFERENCED_BATCH_RUN_ID not in attributes:
-                    # main flow
-                    line_run_id = (
-                        attributes[SpanAttributeFieldName.BATCH_RUN_ID]
-                        + "_"
-                        + attributes[SpanAttributeFieldName.LINE_NUMBER]
-                    )
-                    if line_run_id not in grouped_orm_spans:
-                        grouped_orm_spans[line_run_id] = []
-                    grouped_orm_spans[line_run_id].extend(copy.deepcopy(orm_spans))
-                else:
-                    # evaluation flow
-                    referenced_line_run_id = (
-                        attributes[SpanAttributeFieldName.REFERENCED_BATCH_RUN_ID]
-                        + "_"
-                        + attributes[SpanAttributeFieldName.LINE_NUMBER]
-                    )
-                    if referenced_line_run_id not in grouped_orm_spans:
-                        grouped_orm_spans[referenced_line_run_id] = []
-                    grouped_orm_spans[referenced_line_run_id].extend(copy.deepcopy(orm_spans))
-            else:
-                # others, ignore for now
-                pass
-        for orm_spans in grouped_orm_spans.values():
-            spans = [Span._from_orm_object(orm_span) for orm_span in orm_spans]
-            line_run = LineRun._from_spans(spans)
-            if line_run is not None:
-                line_runs.append(line_run)
-        return line_runs
-
-    def _list_line_runs_with_runs(self, runs: typing.List[str]) -> typing.List[LineRun]:
-        orm_spans = ORMSpan.list_with_runs(runs)
-        # group root spans by lineage:
-        #   1. main + eval
-        #   2. eval
-        grouped_spans = {run: dict() for run in runs}
-        for span in map(Span._from_orm_object, orm_spans):
-            attributes = span._content[SpanFieldName.ATTRIBUTES]
-            # aggregation node will not have `batch_run_id`, ignore
-            if SpanAttributeFieldName.BATCH_RUN_ID not in attributes:
-                continue
-            batch_run_id = attributes[SpanAttributeFieldName.BATCH_RUN_ID]
-            line_number = attributes[SpanAttributeFieldName.LINE_NUMBER]
-            # check if it is an evaluation root span
-            if SpanAttributeFieldName.REFERENCED_BATCH_RUN_ID in attributes:
-                referenced_batch_run_id = attributes[SpanAttributeFieldName.REFERENCED_BATCH_RUN_ID]
-                if referenced_batch_run_id in runs:
-                    if line_number not in grouped_spans[referenced_batch_run_id]:
-                        grouped_spans[referenced_batch_run_id][line_number] = []
-                    grouped_spans[referenced_batch_run_id][line_number].append(span)
-                    continue
-            if line_number not in grouped_spans[batch_run_id]:
-                grouped_spans[batch_run_id][line_number] = []
-            grouped_spans[batch_run_id][line_number].append(span)
-        line_runs = []
-        for run in grouped_spans:
-            run_spans = grouped_spans[run]
-            if len(run_spans) == 0:
-                continue
-            for line_number in run_spans:
-                line_spans = run_spans[line_number]
-                line_run = LineRun._from_run_and_spans(run, line_spans)
-                line_runs.append(line_run)
-        return line_runs
diff --git a/src/promptflow/promptflow/_utils/_errors.py b/src/promptflow/promptflow/_utils/_errors.py
deleted file mode 100644
index bbac5aff7d8..00000000000
--- a/src/promptflow/promptflow/_utils/_errors.py
+++ /dev/null
@@ -1,15 +0,0 @@
-from promptflow.exceptions import SystemErrorException, UserErrorException, ValidationException
-
-
-class InvalidImageInput(ValidationException):
-    pass
-
-
-class LoadMultimediaDataError(UserErrorException):
-    pass
-
-
-class YamlParseError(SystemErrorException):
-    """Exception raised when yaml parse failed."""
-
-    pass
diff --git a/src/promptflow/promptflow/_utils/flow_utils.py b/src/promptflow/promptflow/_utils/flow_utils.py
deleted file mode 100644
index 4e8044fa7e0..00000000000
--- a/src/promptflow/promptflow/_utils/flow_utils.py
+++ /dev/null
@@ -1,71 +0,0 @@
-# ---------------------------------------------------------
-# Copyright (c) Microsoft Corporation. All rights reserved.
-# ---------------------------------------------------------
-import hashlib
-import os
-from os import PathLike
-from pathlib import Path
-from typing import Union
-
-from promptflow._sdk._constants import DAG_FILE_NAME, DEFAULT_ENCODING
-from promptflow._utils.logger_utils import LoggerFactory
-from promptflow._utils.yaml_utils import dump_yaml, load_yaml
-
-logger = LoggerFactory.get_logger(name=__name__)
-
-
-def get_flow_lineage_id(flow_dir: Union[str, PathLike]):
-    """
-    Get the lineage id for flow. The flow lineage id will be same for same flow in same GIT repo or device.
-    If the flow locates in GIT repo:
-        use Repo name + relative path to flow_dir as session id
-    Otherwise:
-        use device id + absolute path to flow_dir as session id
-    :param flow_dir: flow directory
-    """
-    flow_dir = Path(flow_dir).resolve()
-    if not flow_dir.is_dir():
-        flow_dir = flow_dir.parent
-    try:
-        from git import Repo
-
-        repo = Repo(flow_dir, search_parent_directories=True)
-        lineage_id = f"{os.path.basename(repo.working_dir)}/{flow_dir.relative_to(repo.working_dir).as_posix()}"
-        logger.debug("Got lineage id %s from git repo.", lineage_id)
-
-    except Exception:
-        # failed to get repo, use device id + absolute path to flow_dir as session id
-        import uuid
-
-        device_id = uuid.getnode()
-        lineage_id = f"{device_id}/{flow_dir.absolute().as_posix()}"
-        logger.debug("Got lineage id %s from local since failed to get git info.", lineage_id)
-
-    # hash the value to avoid it gets too long, and it's not user visible.
-    lineage_id = hashlib.sha256(lineage_id.encode()).hexdigest()
-    return lineage_id
-
-
-def resolve_flow_path(flow_path: Path):
-    """Resolve given flow path to dag file path."""
-    if flow_path.is_dir():
-        flow_path = flow_path / DAG_FILE_NAME
-    return flow_path
-
-
-def load_flow_dag(flow_path: Path):
-    """Load flow dag from given flow path."""
-    flow_path = resolve_flow_path(flow_path)
-    if not flow_path.exists():
-        raise FileNotFoundError(f"Flow file {flow_path} not found")
-    with open(flow_path, "r", encoding=DEFAULT_ENCODING) as f:
-        flow_dag = load_yaml(f)
-    return flow_path, flow_dag
-
-
-def dump_flow_dag(flow_dag: dict, flow_path: Path):
-    """Dump flow dag to given flow path."""
-    flow_path = resolve_flow_path(flow_path)
-    with open(flow_path, "w", encoding=DEFAULT_ENCODING) as f:
-        dump_yaml(flow_dag, f)
-    return flow_path
diff --git a/src/promptflow/promptflow/_utils/multimedia_utils.py b/src/promptflow/promptflow/_utils/multimedia_utils.py
deleted file mode 100644
index 183e3f5523d..00000000000
--- a/src/promptflow/promptflow/_utils/multimedia_utils.py
+++ /dev/null
@@ -1,255 +0,0 @@
-import base64
-import os
-import re
-import uuid
-from functools import partial
-from pathlib import Path
-from typing import Any, Callable, Dict
-from urllib.parse import urlparse
-
-import requests
-
-from promptflow._utils._errors import InvalidImageInput, LoadMultimediaDataError
-from promptflow.contracts.flow import FlowInputDefinition
-from promptflow.contracts.multimedia import Image, PFBytes
-from promptflow.contracts.tool import ValueType
-from promptflow.exceptions import ErrorTarget
-
-MIME_PATTERN = re.compile(r"^data:image/(.*);(path|base64|url)$")
-
-
-def _get_extension_from_mime_type(mime_type: str):
-    ext = mime_type.split("/")[-1]
-    if ext == "*":
-        return None
-    return ext
-
-
-def is_multimedia_dict(multimedia_dict: dict):
-    if len(multimedia_dict) != 1:
-        return False
-    key = list(multimedia_dict.keys())[0]
-    if re.match(MIME_PATTERN, key):
-        return True
-    return False
-
-
-def _get_multimedia_info(key: str):
-    match = re.match(MIME_PATTERN, key)
-    if match:
-        return match.group(1), match.group(2)
-    return None, None
-
-
-def _is_url(value: str):
-    try:
-        result = urlparse(value)
-        return all([result.scheme, result.netloc])
-    except ValueError:
-        return False
-
-
-def _is_base64(value: str):
-    base64_regex = re.compile(r"^([A-Za-z0-9+/]{4})*(([A-Za-z0-9+/]{2})*(==|[A-Za-z0-9+/]=)?)?$")
-    if re.match(base64_regex, value):
-        return True
-    return False
-
-
-def _create_image_from_file(f: Path, mime_type: str = None):
-    with open(f, "rb") as fin:
-        return Image(fin.read(), mime_type=mime_type)
-
-
-def _create_image_from_base64(base64_str: str, mime_type: str = None):
-    image_bytes = base64.b64decode(base64_str)
-    return Image(image_bytes, mime_type=mime_type)
-
-
-def _create_image_from_url(url: str, mime_type: str = None):
-    response = requests.get(url)
-    if response.status_code == 200:
-        return Image(response.content, mime_type=mime_type, source_url=url)
-    else:
-        raise InvalidImageInput(
-            message_format="Failed to fetch image from URL: {url}. Error code: {error_code}. "
-            "Error message: {error_message}.",
-            target=ErrorTarget.EXECUTOR,
-            url=url,
-            error_code=response.status_code,
-            error_message=response.text,
-        )
-
-
-def _create_image_from_dict(image_dict: dict):
-    for k, v in image_dict.items():
-        format, resource = _get_multimedia_info(k)
-        if resource == "path":
-            return _create_image_from_file(Path(v), mime_type=f"image/{format}")
-        elif resource == "base64":
-            if _is_base64(v):
-                return _create_image_from_base64(v, mime_type=f"image/{format}")
-            else:
-                raise InvalidImageInput(
-                    message_format=f"Invalid base64 image: {v}.",
-                    target=ErrorTarget.EXECUTOR,
-                )
-        elif resource == "url":
-            return _create_image_from_url(v, mime_type=f"image/{format}")
-        else:
-            raise InvalidImageInput(
-                message_format=f"Unsupported image resource: {resource}. "
-                "Supported Resources are [path, base64, url].",
-                target=ErrorTarget.EXECUTOR,
-            )
-
-
-def _create_image_from_string(value: str):
-    if _is_base64(value):
-        return _create_image_from_base64(value)
-    elif _is_url(value):
-        return _create_image_from_url(value)
-    else:
-        return _create_image_from_file(Path(value))
-
-
-def create_image(value: any):
-    if isinstance(value, PFBytes):
-        return value
-    elif isinstance(value, dict):
-        if is_multimedia_dict(value):
-            return _create_image_from_dict(value)
-        else:
-            raise InvalidImageInput(
-                message_format="Invalid image input format. The image input should be a dictionary like: "
-                "{{data:image/<image_type>;[path|base64|url]: <image_data>}}.",
-                target=ErrorTarget.EXECUTOR,
-            )
-    elif isinstance(value, str):
-        if not value:
-            raise InvalidImageInput(message_format="The image input should not be empty.", target=ErrorTarget.EXECUTOR)
-        return _create_image_from_string(value)
-    else:
-        raise InvalidImageInput(
-            message_format=f"Unsupported image input type: {type(value)}. "
-            "The image inputs should be a string or a dictionary.",
-            target=ErrorTarget.EXECUTOR,
-        )
-
-
-def _save_image_to_file(
-    image: Image, file_name: str, folder_path: Path, relative_path: Path = None, use_absolute_path=False
-):
-    ext = _get_extension_from_mime_type(image._mime_type)
-    file_name = f"{file_name}.{ext}" if ext else file_name
-    image_path = (relative_path / file_name).as_posix() if relative_path else file_name
-    if use_absolute_path:
-        image_path = Path(folder_path / image_path).resolve().as_posix()
-    image_reference = {f"data:{image._mime_type};path": image_path}
-    path = folder_path / relative_path if relative_path else folder_path
-    os.makedirs(path, exist_ok=True)
-    with open(os.path.join(path, file_name), "wb") as file:
-        file.write(image)
-    return image_reference
-
-
-def get_file_reference_encoder(folder_path: Path, relative_path: Path = None, *, use_absolute_path=False) -> Callable:
-    def pfbytes_file_reference_encoder(obj):
-        """Dumps PFBytes to a file and returns its reference."""
-        if obj.source_url:
-            return {f"data:{obj._mime_type};url": obj.source_url}
-        if isinstance(obj, PFBytes):
-            file_name = str(uuid.uuid4())
-            # If use_absolute_path is True, the image file path in image dictionary will be absolute path.
-            return _save_image_to_file(obj, file_name, folder_path, relative_path, use_absolute_path)
-        raise TypeError(f"Not supported to dump type '{type(obj).__name__}'.")
-
-    return pfbytes_file_reference_encoder
-
-
-def persist_multimedia_data(value: Any, base_dir: Path, sub_dir: Path = None):
-    pfbytes_file_reference_encoder = get_file_reference_encoder(base_dir, sub_dir)
-    serialization_funcs = {Image: partial(Image.serialize, **{"encoder": pfbytes_file_reference_encoder})}
-    return _process_recursively(value, process_funcs=serialization_funcs)
-
-
-def convert_multimedia_data_to_base64(value: Any, with_type=False, dict_type=False):
-    to_base64_funcs = {PFBytes: partial(PFBytes.to_base64, **{"with_type": with_type, "dict_type": dict_type})}
-    return _process_recursively(value, process_funcs=to_base64_funcs)
-
-
-# TODO: Move this function to a more general place and integrate serialization to this function.
-def _process_recursively(value: Any, process_funcs: Dict[type, Callable] = None, inplace: bool = False) -> dict:
-    if process_funcs:
-        for cls, f in process_funcs.items():
-            if isinstance(value, cls):
-                return f(value)
-    if isinstance(value, list):
-        if inplace:
-            for i in range(len(value)):
-                value[i] = _process_recursively(value[i], process_funcs, inplace)
-        else:
-            return [_process_recursively(v, process_funcs, inplace) for v in value]
-    elif isinstance(value, dict):
-        if inplace:
-            for k, v in value.items():
-                value[k] = _process_recursively(v, process_funcs, inplace)
-        else:
-            return {k: _process_recursively(v, process_funcs, inplace) for k, v in value.items()}
-    return value
-
-
-def load_multimedia_data(inputs: Dict[str, FlowInputDefinition], line_inputs: dict):
-    updated_inputs = dict(line_inputs or {})
-    for key, value in inputs.items():
-        try:
-            if value.type == ValueType.IMAGE:
-                if isinstance(updated_inputs[key], list):
-                    # For aggregation node, the image input is a list.
-                    updated_inputs[key] = [create_image(item) for item in updated_inputs[key]]
-                else:
-                    updated_inputs[key] = create_image(updated_inputs[key])
-            elif value.type == ValueType.LIST or value.type == ValueType.OBJECT:
-                updated_inputs[key] = load_multimedia_data_recursively(updated_inputs[key])
-        except Exception as ex:
-            error_type_and_message = f"({ex.__class__.__name__}) {ex}"
-            raise LoadMultimediaDataError(
-                message_format="Failed to load image for input '{key}': {error_type_and_message}",
-                key=key,
-                error_type_and_message=error_type_and_message,
-                target=ErrorTarget.EXECUTOR,
-            ) from ex
-    return updated_inputs
-
-
-def load_multimedia_data_recursively(value: Any):
-    return _process_multimedia_dict_recursively(value, _create_image_from_dict)
-
-
-def resolve_multimedia_data_recursively(input_dir: Path, value: Any):
-    process_func = partial(resolve_image_path, **{"input_dir": input_dir})
-    return _process_multimedia_dict_recursively(value, process_func)
-
-
-def _process_multimedia_dict_recursively(value: Any, process_func: Callable) -> dict:
-    if isinstance(value, list):
-        return [_process_multimedia_dict_recursively(item, process_func) for item in value]
-    elif isinstance(value, dict):
-        if is_multimedia_dict(value):
-            return process_func(**{"image_dict": value})
-        else:
-            return {k: _process_multimedia_dict_recursively(v, process_func) for k, v in value.items()}
-    else:
-        return value
-
-
-def resolve_image_path(input_dir: Path, image_dict: dict):
-    """Resolve image path to absolute path in image dict"""
-
-    input_dir = input_dir.parent if input_dir.is_file() else input_dir
-    if is_multimedia_dict(image_dict):
-        for key in image_dict:
-            _, resource = _get_multimedia_info(key)
-            if resource == "path":
-                image_dict[key] = str(input_dir / image_dict[key])
-    return image_dict
diff --git a/src/promptflow/promptflow/_utils/process_utils.py b/src/promptflow/promptflow/_utils/process_utils.py
deleted file mode 100644
index 6b181def423..00000000000
--- a/src/promptflow/promptflow/_utils/process_utils.py
+++ /dev/null
@@ -1,24 +0,0 @@
-# ---------------------------------------------------------
-# Copyright (c) Microsoft Corporation. All rights reserved.
-# ---------------------------------------------------------
-
-import signal
-
-
-def block_terminate_signal_to_parent():
-    # In uvicorn app, the main process listens for requests and handles graceful shutdowns through
-    # signal listeners set up at initialization. These listeners use a file descriptor for event notifications.
-
-    # However, when a child process is forked within the application, it inherits this file descriptor,
-    # leading to an issue where signals sent to terminate the child process are also intercepted by the main process,
-    # causing an unintended shutdown of the entire application.
-
-    # To avoid this, we should return the default behavior of signal handlers for child process and call
-    # signal.set_wakeup_fd(-1) in the child process to prevent it from using the parent's file descriptor
-    # and avoiding unintended shutdowns of the main process.
-
-    # References: https://github.com/tiangolo/fastapi/discussions/7442
-    signal.set_wakeup_fd(-1)
-
-    signal.signal(signal.SIGTERM, signal.SIG_DFL)
-    signal.signal(signal.SIGINT, signal.SIG_DFL)
diff --git a/src/promptflow/promptflow/azure/_restclient/swagger.json b/src/promptflow/promptflow/azure/_restclient/swagger.json
deleted file mode 100644
index 25ad2944275..00000000000
--- a/src/promptflow/promptflow/azure/_restclient/swagger.json
+++ /dev/null
@@ -1,31637 +0,0 @@
-{
-  "openapi": "3.0.1",
-  "info": {
-      "title": "Azure Machine Learning Designer Service Client",
-      "version": "1.0.0"
-  },
-  "paths": {
-      "/flow/api/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/BulkRuns/submit": {
-          "post": {
-              "tags": [
-                  "BulkRuns"
-              ],
-              "operationId": "BulkRuns_SubmitBulkRun",
-              "parameters": [
-                  {
-                      "$ref": "#/components/parameters/subscriptionIdParameter"
-                  },
-                  {
-                      "$ref": "#/components/parameters/resourceGroupNameParameter"
-                  },
-                  {
-                      "$ref": "#/components/parameters/workspaceNameParameter"
-                  }
-              ],
-              "requestBody": {
-                  "content": {
-                      "application/json": {
-                          "schema": {
-                              "$ref": "#/components/schemas/SubmitBulkRunRequest"
-                          }
-                      }
-                  }
-              },
-              "responses": {
-                  "200": {
-                      "description": "Success",
-                      "content": {
-                          "application/json": {
-                              "schema": {
-                                  "type": "string"
-                              }
-                          }
-                      }
-                  },
-                  "202": {
-                      "description": "Accepted",
-                      "content": {
-                          "application/json": {
-                              "schema": {
-                                  "type": "string"
-                              }
-                          }
-                      }
-                  },
-                  "204": {
-                      "description": "No Content",
-                      "content": {
-                          "application/json": {
-                              "schema": {
-                                  "type": "string"
-                              }
-                          }
-                      }
-                  },
-                  "default": {
-                      "description": "Error response describing why the operation failed.",
-                      "content": {
-                          "application/json": {
-                              "schema": {
-                                  "$ref": "#/components/schemas/ErrorResponse"
-                              }
-                          }
-                      }
-                  }
-              }
-          }
-      },
-      "/flow/api/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/BulkRuns/resume": {
-          "post": {
-              "tags": [
-                  "BulkRuns"
-              ],
-              "operationId": "BulkRuns_ResumeBulkRun",
-              "parameters": [
-                  {
-                      "$ref": "#/components/parameters/subscriptionIdParameter"
-                  },
-                  {
-                      "$ref": "#/components/parameters/resourceGroupNameParameter"
-                  },
-                  {
-                      "$ref": "#/components/parameters/workspaceNameParameter"
-                  }
-              ],
-              "requestBody": {
-                  "content": {
-                      "application/json": {
-                          "schema": {
-                              "$ref": "#/components/schemas/ResumeBulkRunRequest"
-                          }
-                      }
-                  }
-              },
-              "responses": {
-                  "200": {
-                      "description": "Success",
-                      "content": {
-                          "application/json": {
-                              "schema": {
-                                  "type": "string"
-                              }
-                          }
-                      }
-                  },
-                  "default": {
-                      "description": "Error response describing why the operation failed.",
-                      "content": {
-                          "application/json": {
-                              "schema": {
-                                  "$ref": "#/components/schemas/ErrorResponse"
-                              }
-                          }
-                      }
-                  }
-              }
-          }
-      },
-      "/flow/api/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/BulkRuns/{flowRunId}/cancel": {
-          "post": {
-              "tags": [
-                  "BulkRuns"
-              ],
-              "operationId": "BulkRuns_CancelFlowRun",
-              "parameters": [
-                  {
-                      "$ref": "#/components/parameters/subscriptionIdParameter"
-                  },
-                  {
-                      "$ref": "#/components/parameters/resourceGroupNameParameter"
-                  },
-                  {
-                      "$ref": "#/components/parameters/workspaceNameParameter"
-                  },
-                  {
-                      "name": "flowRunId",
-                      "in": "path",
-                      "required": true,
-                      "schema": {
-                          "type": "string"
-                      }
-                  }
-              ],
-              "responses": {
-                  "200": {
-                      "description": "Success",
-                      "content": {
-                          "text/plain": {
-                              "schema": {
-                                  "type": "string"
-                              }
-                          }
-                      }
-                  },
-                  "default": {
-                      "description": "Error response describing why the operation failed.",
-                      "content": {
-                          "application/json": {
-                              "schema": {
-                                  "$ref": "#/components/schemas/ErrorResponse"
-                              }
-                          }
-                      }
-                  }
-              }
-          }
-      },
-      "/flow/api/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/BulkRuns/{flowRunId}": {
-          "get": {
-              "tags": [
-                  "BulkRuns"
-              ],
-              "operationId": "BulkRuns_GetFlowRunInfo",
-              "parameters": [
-                  {
-                      "$ref": "#/components/parameters/subscriptionIdParameter"
-                  },
-                  {
-                      "$ref": "#/components/parameters/resourceGroupNameParameter"
-                  },
-                  {
-                      "$ref": "#/components/parameters/workspaceNameParameter"
-                  },
-                  {
-                      "name": "flowRunId",
-                      "in": "path",
-                      "required": true,
-                      "schema": {
-                          "type": "string"
-                      }
-                  }
-              ],
-              "responses": {
-                  "200": {
-                      "description": "Success",
-                      "content": {
-                          "application/json": {
-                              "schema": {
-                                  "$ref": "#/components/schemas/FlowRunInfo"
-                              }
-                          }
-                      }
-                  },
-                  "default": {
-                      "description": "Error response describing why the operation failed.",
-                      "content": {
-                          "application/json": {
-                              "schema": {
-                                  "$ref": "#/components/schemas/ErrorResponse"
-                              }
-                          }
-                      }
-                  }
-              }
-          }
-      },
-      "/flow/api/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/BulkRuns/{flowRunId}/childRuns": {
-          "get": {
-              "tags": [
-                  "BulkRuns"
-              ],
-              "operationId": "BulkRuns_GetFlowChildRuns",
-              "parameters": [
-                  {
-                      "$ref": "#/components/parameters/subscriptionIdParameter"
-                  },
-                  {
-                      "$ref": "#/components/parameters/resourceGroupNameParameter"
-                  },
-                  {
-                      "$ref": "#/components/parameters/workspaceNameParameter"
-                  },
-                  {
-                      "name": "flowRunId",
-                      "in": "path",
-                      "required": true,
-                      "schema": {
-                          "type": "string"
-                      }
-                  },
-                  {
-                      "name": "index",
-                      "in": "query",
-                      "schema": {
-                          "type": "integer",
-                          "format": "int32"
-                      }
-                  },
-                  {
-                      "name": "startIndex",
-                      "in": "query",
-                      "schema": {
-                          "type": "integer",
-                          "format": "int32"
-                      }
-                  },
-                  {
-                      "name": "endIndex",
-                      "in": "query",
-                      "schema": {
-                          "type": "integer",
-                          "format": "int32"
-                      }
-                  }
-              ],
-              "responses": {
-                  "200": {
-                      "description": "Success",
-                      "content": {
-                          "application/json": {
-                              "schema": {
-                                  "type": "array",
-                                  "items": {}
-                              }
-                          }
-                      }
-                  },
-                  "default": {
-                      "description": "Error response describing why the operation failed.",
-                      "content": {
-                          "application/json": {
-                              "schema": {
-                                  "$ref": "#/components/schemas/ErrorResponse"
-                              }
-                          }
-                      }
-                  }
-              }
-          }
-      },
-      "/flow/api/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/BulkRuns/{flowRunId}/nodeRuns/{nodeName}": {
-          "get": {
-              "tags": [
-                  "BulkRuns"
-              ],
-              "operationId": "BulkRuns_GetFlowNodeRuns",
-              "parameters": [
-                  {
-                      "$ref": "#/components/parameters/subscriptionIdParameter"
-                  },
-                  {
-                      "$ref": "#/components/parameters/resourceGroupNameParameter"
-                  },
-                  {
-                      "$ref": "#/components/parameters/workspaceNameParameter"
-                  },
-                  {
-                      "name": "flowRunId",
-                      "in": "path",
-                      "required": true,
-                      "schema": {
-                          "type": "string"
-                      }
-                  },
-                  {
-                      "name": "nodeName",
-                      "in": "path",
-                      "required": true,
-                      "schema": {
-                          "type": "string"
-                      }
-                  },
-                  {
-                      "name": "index",
-                      "in": "query",
-                      "schema": {
-                          "type": "integer",
-                          "format": "int32"
-                      }
-                  },
-                  {
-                      "name": "startIndex",
-                      "in": "query",
-                      "schema": {
-                          "type": "integer",
-                          "format": "int32"
-                      }
-                  },
-                  {
-                      "name": "endIndex",
-                      "in": "query",
-                      "schema": {
-                          "type": "integer",
-                          "format": "int32"
-                      }
-                  },
-                  {
-                      "name": "aggregation",
-                      "in": "query",
-                      "schema": {
-                          "type": "boolean",
-                          "default": false
-                      }
-                  }
-              ],
-              "responses": {
-                  "200": {
-                      "description": "Success",
-                      "content": {
-                          "application/json": {
-                              "schema": {
-                                  "type": "array",
-                                  "items": {}
-                              }
-                          }
-                      }
-                  },
-                  "default": {
-                      "description": "Error response describing why the operation failed.",
-                      "content": {
-                          "application/json": {
-                              "schema": {
-                                  "$ref": "#/components/schemas/ErrorResponse"
-                              }
-                          }
-                      }
-                  }
-              }
-          }
-      },
-      "/flow/api/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/BulkRuns/{flowRunId}/nodeRuns/{nodeName}/basePath": {
-          "get": {
-              "tags": [
-                  "BulkRuns"
-              ],
-              "operationId": "BulkRuns_GetFlowNodeRunBasePath",
-              "parameters": [
-                  {
-                      "$ref": "#/components/parameters/subscriptionIdParameter"
-                  },
-                  {
-                      "$ref": "#/components/parameters/resourceGroupNameParameter"
-                  },
-                  {
-                      "$ref": "#/components/parameters/workspaceNameParameter"
-                  },
-                  {
-                      "name": "flowRunId",
-                      "in": "path",
-                      "required": true,
-                      "schema": {
-                          "type": "string"
-                      }
-                  },
-                  {
-                      "name": "nodeName",
-                      "in": "path",
-                      "required": true,
-                      "schema": {
-                          "type": "string"
-                      }
-                  }
-              ],
-              "responses": {
-                  "200": {
-                      "description": "Success",
-                      "content": {
-                          "application/json": {
-                              "schema": {
-                                  "$ref": "#/components/schemas/FlowRunBasePath"
-                              }
-                          }
-                      }
-                  },
-                  "default": {
-                      "description": "Error response describing why the operation failed.",
-                      "content": {
-                          "application/json": {
-                              "schema": {
-                                  "$ref": "#/components/schemas/ErrorResponse"
-                              }
-                          }
-                      }
-                  }
-              }
-          }
-      },
-      "/flow/api/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/BulkRuns/{flowRunId}/logContent": {
-          "get": {
-              "tags": [
-                  "BulkRuns"
-              ],
-              "operationId": "BulkRuns_GetFlowRunLogContent",
-              "parameters": [
-                  {
-                      "$ref": "#/components/parameters/subscriptionIdParameter"
-                  },
-                  {
-                      "$ref": "#/components/parameters/resourceGroupNameParameter"
-                  },
-                  {
-                      "$ref": "#/components/parameters/workspaceNameParameter"
-                  },
-                  {
-                      "name": "flowRunId",
-                      "in": "path",
-                      "required": true,
-                      "schema": {
-                          "type": "string"
-                      }
-                  }
-              ],
-              "responses": {
-                  "200": {
-                      "description": "Success",
-                      "content": {
-                          "application/json": {
-                              "schema": {
-                                  "type": "string"
-                              }
-                          }
-                      }
-                  },
-                  "default": {
-                      "description": "Error response describing why the operation failed.",
-                      "content": {
-                          "application/json": {
-                              "schema": {
-                                  "$ref": "#/components/schemas/ErrorResponse"
-                              }
-                          }
-                      }
-                  }
-              }
-          }
-      },
-      "/flow/api/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/Connection/{connectionName}": {
-          "post": {
-              "tags": [
-                  "Connection"
-              ],
-              "operationId": "Connection_CreateConnection",
-              "parameters": [
-                  {
-                      "$ref": "#/components/parameters/subscriptionIdParameter"
-                  },
-                  {
-                      "$ref": "#/components/parameters/resourceGroupNameParameter"
-                  },
-                  {
-                      "$ref": "#/components/parameters/workspaceNameParameter"
-                  },
-                  {
-                      "name": "connectionName",
-                      "in": "path",
-                      "required": true,
-                      "schema": {
-                          "type": "string"
-                      }
-                  }
-              ],
-              "requestBody": {
-                  "content": {
-                      "application/json": {
-                          "schema": {
-                              "$ref": "#/components/schemas/CreateOrUpdateConnectionRequest"
-                          }
-                      }
-                  }
-              },
-              "responses": {
-                  "200": {
-                      "description": "Success",
-                      "content": {
-                          "application/json": {
-                              "schema": {
-                                  "$ref": "#/components/schemas/ConnectionEntity"
-                              }
-                          }
-                      }
-                  },
-                  "default": {
-                      "description": "Error response describing why the operation failed.",
-                      "content": {
-                          "application/json": {
-                              "schema": {
-                                  "$ref": "#/components/schemas/ErrorResponse"
-                              }
-                          }
-                      }
-                  }
-              }
-          },
-          "put": {
-              "tags": [
-                  "Connection"
-              ],
-              "operationId": "Connection_UpdateConnection",
-              "parameters": [
-                  {
-                      "$ref": "#/components/parameters/subscriptionIdParameter"
-                  },
-                  {
-                      "$ref": "#/components/parameters/resourceGroupNameParameter"
-                  },
-                  {
-                      "$ref": "#/components/parameters/workspaceNameParameter"
-                  },
-                  {
-                      "name": "connectionName",
-                      "in": "path",
-                      "required": true,
-                      "schema": {
-                          "type": "string"
-                      }
-                  }
-              ],
-              "requestBody": {
-                  "content": {
-                      "application/json": {
-                          "schema": {
-                              "$ref": "#/components/schemas/CreateOrUpdateConnectionRequest"
-                          }
-                      }
-                  }
-              },
-              "responses": {
-                  "200": {
-                      "description": "Success",
-                      "content": {
-                          "application/json": {
-                              "schema": {
-                                  "$ref": "#/components/schemas/ConnectionEntity"
-                              }
-                          }
-                      }
-                  },
-                  "default": {
-                      "description": "Error response describing why the operation failed.",
-                      "content": {
-                          "application/json": {
-                              "schema": {
-                                  "$ref": "#/components/schemas/ErrorResponse"
-                              }
-                          }
-                      }
-                  }
-              }
-          },
-          "get": {
-              "tags": [
-                  "Connection"
-              ],
-              "operationId": "Connection_GetConnection",
-              "parameters": [
-                  {
-                      "$ref": "#/components/parameters/subscriptionIdParameter"
-                  },
-                  {
-                      "$ref": "#/components/parameters/resourceGroupNameParameter"
-                  },
-                  {
-                      "$ref": "#/components/parameters/workspaceNameParameter"
-                  },
-                  {
-                      "name": "connectionName",
-                      "in": "path",
-                      "required": true,
-                      "schema": {
-                          "type": "string"
-                      }
-                  }
-              ],
-              "responses": {
-                  "200": {
-                      "description": "Success",
-                      "content": {
-                          "application/json": {
-                              "schema": {
-                                  "$ref": "#/components/schemas/ConnectionEntity"
-                              }
-                          }
-                      }
-                  },
-                  "default": {
-                      "description": "Error response describing why the operation failed.",
-                      "content": {
-                          "application/json": {
-                              "schema": {
-                                  "$ref": "#/components/schemas/ErrorResponse"
-                              }
-                          }
-                      }
-                  }
-              }
-          },
-          "delete": {
-              "tags": [
-                  "Connection"
-              ],
-              "operationId": "Connection_DeleteConnection",
-              "parameters": [
-                  {
-                      "$ref": "#/components/parameters/subscriptionIdParameter"
-                  },
-                  {
-                      "$ref": "#/components/parameters/resourceGroupNameParameter"
-                  },
-                  {
-                      "$ref": "#/components/parameters/workspaceNameParameter"
-                  },
-                  {
-                      "name": "connectionName",
-                      "in": "path",
-                      "required": true,
-                      "schema": {
-                          "type": "string"
-                      }
-                  },
-                  {
-                      "name": "connectionScope",
-                      "in": "query",
-                      "schema": {
-                          "$ref": "#/components/schemas/ConnectionScope"
-                      }
-                  }
-              ],
-              "responses": {
-                  "200": {
-                      "description": "Success",
-                      "content": {
-                          "application/json": {
-                              "schema": {
-                                  "$ref": "#/components/schemas/ConnectionEntity"
-                              }
-                          }
-                      }
-                  },
-                  "default": {
-                      "description": "Error response describing why the operation failed.",
-                      "content": {
-                          "application/json": {
-                              "schema": {
-                                  "$ref": "#/components/schemas/ErrorResponse"
-                              }
-                          }
-                      }
-                  }
-              }
-          }
-      },
-      "/flow/api/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/Connection": {
-          "get": {
-              "tags": [
-                  "Connection"
-              ],
-              "operationId": "Connection_ListConnections",
-              "parameters": [
-                  {
-                      "$ref": "#/components/parameters/subscriptionIdParameter"
-                  },
-                  {
-                      "$ref": "#/components/parameters/resourceGroupNameParameter"
-                  },
-                  {
-                      "$ref": "#/components/parameters/workspaceNameParameter"
-                  }
-              ],
-              "responses": {
-                  "200": {
-                      "description": "Success",
-                      "content": {
-                          "application/json": {
-                              "schema": {
-                                  "type": "array",
-                                  "items": {
-                                      "$ref": "#/components/schemas/ConnectionEntity"
-                                  }
-                              }
-                          }
-                      }
-                  },
-                  "default": {
-                      "description": "Error response describing why the operation failed.",
-                      "content": {
-                          "application/json": {
-                              "schema": {
-                                  "$ref": "#/components/schemas/ErrorResponse"
-                              }
-                          }
-                      }
-                  }
-              }
-          }
-      },
-      "/flow/api/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/Connection/specs": {
-          "get": {
-              "tags": [
-                  "Connection"
-              ],
-              "operationId": "Connection_ListConnectionSpecs",
-              "parameters": [
-                  {
-                      "$ref": "#/components/parameters/subscriptionIdParameter"
-                  },
-                  {
-                      "$ref": "#/components/parameters/resourceGroupNameParameter"
-                  },
-                  {
-                      "$ref": "#/components/parameters/workspaceNameParameter"
-                  }
-              ],
-              "responses": {
-                  "200": {
-                      "description": "Success",
-                      "content": {
-                          "application/json": {
-                              "schema": {
-                                  "type": "array",
-                                  "items": {
-                                      "$ref": "#/components/schemas/ConnectionSpec"
-                                  }
-                              }
-                          }
-                      }
-                  },
-                  "default": {
-                      "description": "Error response describing why the operation failed.",
-                      "content": {
-                          "application/json": {
-                              "schema": {
-                                  "$ref": "#/components/schemas/ErrorResponse"
-                              }
-                          }
-                      }
-                  }
-              }
-          }
-      },
-      "/flow/api/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/Connections/{connectionName}": {
-          "post": {
-              "tags": [
-                  "Connections"
-              ],
-              "operationId": "Connections_CreateConnection",
-              "parameters": [
-                  {
-                      "$ref": "#/components/parameters/subscriptionIdParameter"
-                  },
-                  {
-                      "$ref": "#/components/parameters/resourceGroupNameParameter"
-                  },
-                  {
-                      "$ref": "#/components/parameters/workspaceNameParameter"
-                  },
-                  {
-                      "name": "connectionName",
-                      "in": "path",
-                      "required": true,
-                      "schema": {
-                          "type": "string"
-                      }
-                  }
-              ],
-              "requestBody": {
-                  "content": {
-                      "application/json": {
-                          "schema": {
-                              "$ref": "#/components/schemas/CreateOrUpdateConnectionRequestDto"
-                          }
-                      }
-                  }
-              },
-              "responses": {
-                  "200": {
-                      "description": "Success",
-                      "content": {
-                          "application/json": {
-                              "schema": {
-                                  "$ref": "#/components/schemas/ConnectionDto"
-                              }
-                          }
-                      }
-                  },
-                  "default": {
-                      "description": "Error response describing why the operation failed.",
-                      "content": {
-                          "application/json": {
-                              "schema": {
-                                  "$ref": "#/components/schemas/ErrorResponse"
-                              }
-                          }
-                      }
-                  }
-              }
-          },
-          "put": {
-              "tags": [
-                  "Connections"
-              ],
-              "operationId": "Connections_UpdateConnection",
-              "parameters": [
-                  {
-                      "$ref": "#/components/parameters/subscriptionIdParameter"
-                  },
-                  {
-                      "$ref": "#/components/parameters/resourceGroupNameParameter"
-                  },
-                  {
-                      "$ref": "#/components/parameters/workspaceNameParameter"
-                  },
-                  {
-                      "name": "connectionName",
-                      "in": "path",
-                      "required": true,
-                      "schema": {
-                          "type": "string"
-                      }
-                  }
-              ],
-              "requestBody": {
-                  "content": {
-                      "application/json": {
-                          "schema": {
-                              "$ref": "#/components/schemas/CreateOrUpdateConnectionRequestDto"
-                          }
-                      }
-                  }
-              },
-              "responses": {
-                  "200": {
-                      "description": "Success",
-                      "content": {
-                          "application/json": {
-                              "schema": {
-                                  "$ref": "#/components/schemas/ConnectionDto"
-                              }
-                          }
-                      }
-                  },
-                  "default": {
-                      "description": "Error response describing why the operation failed.",
-                      "content": {
-                          "application/json": {
-                              "schema": {
-                                  "$ref": "#/components/schemas/ErrorResponse"
-                              }
-                          }
-                      }
-                  }
-              }
-          },
-          "get": {
-              "tags": [
-                  "Connections"
-              ],
-              "operationId": "Connections_GetConnection",
-              "parameters": [
-                  {
-                      "$ref": "#/components/parameters/subscriptionIdParameter"
-                  },
-                  {
-                      "$ref": "#/components/parameters/resourceGroupNameParameter"
-                  },
-                  {
-                      "$ref": "#/components/parameters/workspaceNameParameter"
-                  },
-                  {
-                      "name": "connectionName",
-                      "in": "path",
-                      "required": true,
-                      "schema": {
-                          "type": "string"
-                      }
-                  }
-              ],
-              "responses": {
-                  "200": {
-                      "description": "Success",
-                      "content": {
-                          "application/json": {
-                              "schema": {
-                                  "$ref": "#/components/schemas/ConnectionDto"
-                              }
-                          }
-                      }
-                  },
-                  "default": {
-                      "description": "Error response describing why the operation failed.",
-                      "content": {
-                          "application/json": {
-                              "schema": {
-                                  "$ref": "#/components/schemas/ErrorResponse"
-                              }
-                          }
-                      }
-                  }
-              }
-          },
-          "delete": {
-              "tags": [
-                  "Connections"
-              ],
-              "operationId": "Connections_DeleteConnection",
-              "parameters": [
-                  {
-                      "$ref": "#/components/parameters/subscriptionIdParameter"
-                  },
-                  {
-                      "$ref": "#/components/parameters/resourceGroupNameParameter"
-                  },
-                  {
-                      "$ref": "#/components/parameters/workspaceNameParameter"
-                  },
-                  {
-                      "name": "connectionName",
-                      "in": "path",
-                      "required": true,
-                      "schema": {
-                          "type": "string"
-                      }
-                  }
-              ],
-              "responses": {
-                  "200": {
-                      "description": "Success",
-                      "content": {
-                          "application/json": {
-                              "schema": {
-                                  "$ref": "#/components/schemas/ConnectionDto"
-                              }
-                          }
-                      }
-                  },
-                  "default": {
-                      "description": "Error response describing why the operation failed.",
-                      "content": {
-                          "application/json": {
-                              "schema": {
-                                  "$ref": "#/components/schemas/ErrorResponse"
-                              }
-                          }
-                      }
-                  }
-              }
-          }
-      },
-      "/flow/api/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/Connections/{connectionName}/listsecrets": {
-          "get": {
-              "tags": [
-                  "Connections"
-              ],
-              "operationId": "Connections_GetConnectionWithSecrets",
-              "parameters": [
-                  {
-                      "$ref": "#/components/parameters/subscriptionIdParameter"
-                  },
-                  {
-                      "$ref": "#/components/parameters/resourceGroupNameParameter"
-                  },
-                  {
-                      "$ref": "#/components/parameters/workspaceNameParameter"
-                  },
-                  {
-                      "name": "connectionName",
-                      "in": "path",
-                      "required": true,
-                      "schema": {
-                          "type": "string"
-                      }
-                  }
-              ],
-              "responses": {
-                  "200": {
-                      "description": "Success",
-                      "content": {
-                          "application/json": {
-                              "schema": {
-                                  "$ref": "#/components/schemas/ConnectionDto"
-                              }
-                          }
-                      }
-                  },
-                  "default": {
-                      "description": "Error response describing why the operation failed.",
-                      "content": {
-                          "application/json": {
-                              "schema": {
-                                  "$ref": "#/components/schemas/ErrorResponse"
-                              }
-                          }
-                      }
-                  }
-              }
-          }
-      },
-      "/flow/api/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/Connections": {
-          "get": {
-              "tags": [
-                  "Connections"
-              ],
-              "operationId": "Connections_ListConnections",
-              "parameters": [
-                  {
-                      "$ref": "#/components/parameters/subscriptionIdParameter"
-                  },
-                  {
-                      "$ref": "#/components/parameters/resourceGroupNameParameter"
-                  },
-                  {
-                      "$ref": "#/components/parameters/workspaceNameParameter"
-                  }
-              ],
-              "responses": {
-                  "200": {
-                      "description": "Success",
-                      "content": {
-                          "application/json": {
-                              "schema": {
-                                  "type": "array",
-                                  "items": {
-                                      "$ref": "#/components/schemas/ConnectionDto"
-                                  }
-                              }
-                          }
-                      }
-                  },
-                  "default": {
-                      "description": "Error response describing why the operation failed.",
-                      "content": {
-                          "application/json": {
-                              "schema": {
-                                  "$ref": "#/components/schemas/ErrorResponse"
-                              }
-                          }
-                      }
-                  }
-              }
-          }
-      },
-      "/flow/api/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/Connections/specs": {
-          "get": {
-              "tags": [
-                  "Connections"
-              ],
-              "operationId": "Connections_ListConnectionSpecs",
-              "parameters": [
-                  {
-                      "$ref": "#/components/parameters/subscriptionIdParameter"
-                  },
-                  {
-                      "$ref": "#/components/parameters/resourceGroupNameParameter"
-                  },
-                  {
-                      "$ref": "#/components/parameters/workspaceNameParameter"
-                  }
-              ],
-              "responses": {
-                  "200": {
-                      "description": "Success",
-                      "content": {
-                          "application/json": {
-                              "schema": {
-                                  "type": "array",
-                                  "items": {
-                                      "$ref": "#/components/schemas/WorkspaceConnectionSpec"
-                                  }
-                              }
-                          }
-                      }
-                  },
-                  "default": {
-                      "description": "Error response describing why the operation failed.",
-                      "content": {
-                          "application/json": {
-                              "schema": {
-                                  "$ref": "#/components/schemas/ErrorResponse"
-                              }
-                          }
-                      }
-                  }
-              }
-          }
-      },
-      "/flow/api/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/Connections/{connectionName}/AzureOpenAIDeployments": {
-          "get": {
-              "tags": [
-                  "Connections"
-              ],
-              "operationId": "Connections_ListAzureOpenAIDeployments",
-              "parameters": [
-                  {
-                      "$ref": "#/components/parameters/subscriptionIdParameter"
-                  },
-                  {
-                      "$ref": "#/components/parameters/resourceGroupNameParameter"
-                  },
-                  {
-                      "$ref": "#/components/parameters/workspaceNameParameter"
-                  },
-                  {
-                      "name": "connectionName",
-                      "in": "path",
-                      "required": true,
-                      "schema": {
-                          "type": "string"
-                      }
-                  }
-              ],
-              "responses": {
-                  "200": {
-                      "description": "Success",
-                      "content": {
-                          "application/json": {
-                              "schema": {
-                                  "type": "array",
-                                  "items": {
-                                      "$ref": "#/components/schemas/AzureOpenAIDeploymentDto"
-                                  }
-                              }
-                          }
-                      }
-                  },
-                  "default": {
-                      "description": "Error response describing why the operation failed.",
-                      "content": {
-                          "application/json": {
-                              "schema": {
-                                  "$ref": "#/components/schemas/ErrorResponse"
-                              }
-                          }
-                      }
-                  }
-              }
-          }
-      },
-      "/flow/api/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/FlowRuntimes/{runtimeName}": {
-          "post": {
-              "tags": [
-                  "FlowRuntimes"
-              ],
-              "operationId": "FlowRuntimes_CreateRuntime",
-              "parameters": [
-                  {
-                      "$ref": "#/components/parameters/subscriptionIdParameter"
-                  },
-                  {
-                      "$ref": "#/components/parameters/resourceGroupNameParameter"
-                  },
-                  {
-                      "$ref": "#/components/parameters/workspaceNameParameter"
-                  },
-                  {
-                      "name": "runtimeName",
-                      "in": "path",
-                      "required": true,
-                      "schema": {
-                          "type": "string"
-                      }
-                  },
-                  {
-                      "name": "asyncCall",
-                      "in": "query",
-                      "schema": {
-                          "type": "boolean",
-                          "default": false
-                      }
-                  },
-                  {
-                      "name": "msiToken",
-                      "in": "query",
-                      "schema": {
-                          "type": "boolean",
-                          "default": false
-                      }
-                  },
-                  {
-                      "name": "skipPortCheck",
-                      "in": "query",
-                      "schema": {
-                          "type": "boolean",
-                          "default": false
-                      }
-                  }
-              ],
-              "requestBody": {
-                  "content": {
-                      "application/json": {
-                          "schema": {
-                              "$ref": "#/components/schemas/CreateFlowRuntimeRequest"
-                          }
-                      }
-                  }
-              },
-              "responses": {
-                  "200": {
-                      "description": "Success",
-                      "content": {
-                          "application/json": {
-                              "schema": {
-                                  "$ref": "#/components/schemas/FlowRuntimeDto"
-                              }
-                          }
-                      }
-                  },
-                  "default": {
-                      "description": "Error response describing why the operation failed.",
-                      "content": {
-                          "application/json": {
-                              "schema": {
-                                  "$ref": "#/components/schemas/ErrorResponse"
-                              }
-                          }
-                      }
-                  }
-              }
-          },
-          "put": {
-              "tags": [
-                  "FlowRuntimes"
-              ],
-              "operationId": "FlowRuntimes_UpdateRuntime",
-              "parameters": [
-                  {
-                      "$ref": "#/components/parameters/subscriptionIdParameter"
-                  },
-                  {
-                      "$ref": "#/components/parameters/resourceGroupNameParameter"
-                  },
-                  {
-                      "$ref": "#/components/parameters/workspaceNameParameter"
-                  },
-                  {
-                      "name": "runtimeName",
-                      "in": "path",
-                      "required": true,
-                      "schema": {
-                          "type": "string"
-                      }
-                  },
-                  {
-                      "name": "asyncCall",
-                      "in": "query",
-                      "schema": {
-                          "type": "boolean",
-                          "default": false
-                      }
-                  },
-                  {
-                      "name": "msiToken",
-                      "in": "query",
-                      "schema": {
-                          "type": "boolean",
-                          "default": false
-                      }
-                  },
-                  {
-                      "name": "skipPortCheck",
-                      "in": "query",
-                      "schema": {
-                          "type": "boolean",
-                          "default": false
-                      }
-                  }
-              ],
-              "requestBody": {
-                  "content": {
-                      "application/json": {
-                          "schema": {
-                              "$ref": "#/components/schemas/UpdateFlowRuntimeRequest"
-                          }
-                      }
-                  }
-              },
-              "responses": {
-                  "200": {
-                      "description": "Success",
-                      "content": {
-                          "application/json": {
-                              "schema": {
-                                  "$ref": "#/components/schemas/FlowRuntimeDto"
-                              }
-                          }
-                      }
-                  },
-                  "default": {
-                      "description": "Error response describing why the operation failed.",
-                      "content": {
-                          "application/json": {
-                              "schema": {
-                                  "$ref": "#/components/schemas/ErrorResponse"
-                              }
-                          }
-                      }
-                  }
-              }
-          },
-          "get": {
-              "tags": [
-                  "FlowRuntimes"
-              ],
-              "operationId": "FlowRuntimes_GetRuntime",
-              "parameters": [
-                  {
-                      "$ref": "#/components/parameters/subscriptionIdParameter"
-                  },
-                  {
-                      "$ref": "#/components/parameters/resourceGroupNameParameter"
-                  },
-                  {
-                      "$ref": "#/components/parameters/workspaceNameParameter"
-                  },
-                  {
-                      "name": "runtimeName",
-                      "in": "path",
-                      "required": true,
-                      "schema": {
-                          "type": "string"
-                      }
-                  }
-              ],
-              "responses": {
-                  "200": {
-                      "description": "Success",
-                      "content": {
-                          "application/json": {
-                              "schema": {
-                                  "$ref": "#/components/schemas/FlowRuntimeDto"
-                              }
-                          }
-                      }
-                  },
-                  "default": {
-                      "description": "Error response describing why the operation failed.",
-                      "content": {
-                          "application/json": {
-                              "schema": {
-                                  "$ref": "#/components/schemas/ErrorResponse"
-                              }
-                          }
-                      }
-                  }
-              }
-          },
-          "delete": {
-              "tags": [
-                  "FlowRuntimes"
-              ],
-              "operationId": "FlowRuntimes_DeleteRuntime",
-              "parameters": [
-                  {
-                      "$ref": "#/components/parameters/subscriptionIdParameter"
-                  },
-                  {
-                      "$ref": "#/components/parameters/resourceGroupNameParameter"
-                  },
-                  {
-                      "$ref": "#/components/parameters/workspaceNameParameter"
-                  },
-                  {
-                      "name": "runtimeName",
-                      "in": "path",
-                      "required": true,
-                      "schema": {
-                          "type": "string"
-                      }
-                  },
-                  {
-                      "name": "asyncCall",
-                      "in": "query",
-                      "schema": {
-                          "type": "boolean",
-                          "default": false
-                      }
-                  },
-                  {
-                      "name": "msiToken",
-                      "in": "query",
-                      "schema": {
-                          "type": "boolean",
-                          "default": false
-                      }
-                  }
-              ],
-              "responses": {
-                  "200": {
-                      "description": "Success",
-                      "content": {
-                          "application/json": {
-                              "schema": {
-                                  "$ref": "#/components/schemas/FlowRuntimeDto"
-                              }
-                          }
-                      }
-                  },
-                  "default": {
-                      "description": "Error response describing why the operation failed.",
-                      "content": {
-                          "application/json": {
-                              "schema": {
-                                  "$ref": "#/components/schemas/ErrorResponse"
-                              }
-                          }
-                      }
-                  }
-              }
-          }
-      },
-      "/flow/api/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/FlowRuntimes/checkCiAvailability": {
-          "get": {
-              "tags": [
-                  "FlowRuntimes"
-              ],
-              "operationId": "FlowRuntimes_CheckCiAvailability",
-              "parameters": [
-                  {
-                      "$ref": "#/components/parameters/subscriptionIdParameter"
-                  },
-                  {
-                      "$ref": "#/components/parameters/resourceGroupNameParameter"
-                  },
-                  {
-                      "$ref": "#/components/parameters/workspaceNameParameter"
-                  },
-                  {
-                      "name": "computeInstanceName",
-                      "in": "query",
-                      "required": true,
-                      "schema": {
-                          "type": "string"
-                      }
-                  },
-                  {
-                      "name": "customAppName",
-                      "in": "query",
-                      "required": true,
-                      "schema": {
-                          "type": "string"
-                      }
-                  }
-              ],
-              "responses": {
-                  "200": {
-                      "description": "Success",
-                      "content": {
-                          "application/json": {
-                              "schema": {
-                                  "$ref": "#/components/schemas/AvailabilityResponse"
-                              }
-                          }
-                      }
-                  },
-                  "default": {
-                      "description": "Error response describing why the operation failed.",
-                      "content": {
-                          "application/json": {
-                              "schema": {
-                                  "$ref": "#/components/schemas/ErrorResponse"
-                              }
-                          }
-                      }
-                  }
-              }
-          }
-      },
-      "/flow/api/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/FlowRuntimes/checkMirAvailability": {
-          "get": {
-              "tags": [
-                  "FlowRuntimes"
-              ],
-              "operationId": "FlowRuntimes_CheckMirAvailability",
-              "parameters": [
-                  {
-                      "$ref": "#/components/parameters/subscriptionIdParameter"
-                  },
-                  {
-                      "$ref": "#/components/parameters/resourceGroupNameParameter"
-                  },
-                  {
-                      "$ref": "#/components/parameters/workspaceNameParameter"
-                  },
-                  {
-                      "name": "endpointName",
-                      "in": "query",
-                      "required": true,
-                      "schema": {
-                          "type": "string"
-                      }
-                  },
-                  {
-                      "name": "deploymentName",
-                      "in": "query",
-                      "required": true,
-                      "schema": {
-                          "type": "string"
-                      }
-                  }
-              ],
-              "responses": {
-                  "200": {
-                      "description": "Success",
-                      "content": {
-                          "application/json": {
-                              "schema": {
-                                  "$ref": "#/components/schemas/AvailabilityResponse"
-                              }
-                          }
-                      }
-                  },
-                  "default": {
-                      "description": "Error response describing why the operation failed.",
-                      "content": {
-                          "application/json": {
-                              "schema": {
-                                  "$ref": "#/components/schemas/ErrorResponse"
-                              }
-                          }
-                      }
-                  }
-              }
-          }
-      },
-      "/flow/api/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/FlowRuntimes/{runtimeName}/needUpgrade": {
-          "get": {
-              "tags": [
-                  "FlowRuntimes"
-              ],
-              "operationId": "FlowRuntimes_CheckRuntimeUpgrade",
-              "parameters": [
-                  {
-                      "$ref": "#/components/parameters/subscriptionIdParameter"
-                  },
-                  {
-                      "$ref": "#/components/parameters/resourceGroupNameParameter"
-                  },
-                  {
-                      "$ref": "#/components/parameters/workspaceNameParameter"
-                  },
-                  {
-                      "name": "runtimeName",
-                      "in": "path",
-                      "required": true,
-                      "schema": {
-                          "type": "string"
-                      }
-                  }
-              ],
-              "responses": {
-                  "200": {
-                      "description": "Success",
-                      "content": {
-                          "application/json": {
-                              "schema": {
-                                  "type": "boolean"
-                              }
-                          }
-                      }
-                  },
-                  "default": {
-                      "description": "Error response describing why the operation failed.",
-                      "content": {
-                          "application/json": {
-                              "schema": {
-                                  "$ref": "#/components/schemas/ErrorResponse"
-                              }
-                          }
-                      }
-                  }
-              }
-          }
-      },
-      "/flow/api/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/FlowRuntimes/{runtimeName}/capability": {
-          "get": {
-              "tags": [
-                  "FlowRuntimes"
-              ],
-              "operationId": "FlowRuntimes_GetRuntimeCapability",
-              "parameters": [
-                  {
-                      "$ref": "#/components/parameters/subscriptionIdParameter"
-                  },
-                  {
-                      "$ref": "#/components/parameters/resourceGroupNameParameter"
-                  },
-                  {
-                      "$ref": "#/components/parameters/workspaceNameParameter"
-                  },
-                  {
-                      "name": "runtimeName",
-                      "in": "path",
-                      "required": true,
-                      "schema": {
-                          "type": "string"
-                      }
-                  }
-              ],
-              "responses": {
-                  "200": {
-                      "description": "Success",
-                      "content": {
-                          "application/json": {
-                              "schema": {
-                                  "$ref": "#/components/schemas/FlowRuntimeCapability"
-                              }
-                          }
-                      }
-                  },
-                  "default": {
-                      "description": "Error response describing why the operation failed.",
-                      "content": {
-                          "application/json": {
-                              "schema": {
-                                  "$ref": "#/components/schemas/ErrorResponse"
-                              }
-                          }
-                      }
-                  }
-              }
-          }
-      },
-      "/flow/api/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/FlowRuntimes/latestConfig": {
-          "get": {
-              "tags": [
-                  "FlowRuntimes"
-              ],
-              "operationId": "FlowRuntimes_GetRuntimeLatestConfig",
-              "parameters": [
-                  {
-                      "$ref": "#/components/parameters/subscriptionIdParameter"
-                  },
-                  {
-                      "$ref": "#/components/parameters/resourceGroupNameParameter"
-                  },
-                  {
-                      "$ref": "#/components/parameters/workspaceNameParameter"
-                  }
-              ],
-              "responses": {
-                  "200": {
-                      "description": "Success",
-                      "content": {
-                          "application/json": {
-                              "schema": {
-                                  "$ref": "#/components/schemas/RuntimeConfiguration"
-                              }
-                          }
-                      }
-                  },
-                  "default": {
-                      "description": "Error response describing why the operation failed.",
-                      "content": {
-                          "application/json": {
-                              "schema": {
-                                  "$ref": "#/components/schemas/ErrorResponse"
-                              }
-                          }
-                      }
-                  }
-              }
-          }
-      },
-      "/flow/api/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/FlowRuntimes": {
-          "get": {
-              "tags": [
-                  "FlowRuntimes"
-              ],
-              "operationId": "FlowRuntimes_ListRuntimes",
-              "parameters": [
-                  {
-                      "$ref": "#/components/parameters/subscriptionIdParameter"
-                  },
-                  {
-                      "$ref": "#/components/parameters/resourceGroupNameParameter"
-                  },
-                  {
-                      "$ref": "#/components/parameters/workspaceNameParameter"
-                  }
-              ],
-              "responses": {
-                  "200": {
-                      "description": "Success",
-                      "content": {
-                          "application/json": {
-                              "schema": {
-                                  "type": "array",
-                                  "items": {
-                                      "$ref": "#/components/schemas/FlowRuntimeDto"
-                                  }
-                              }
-                          }
-                      }
-                  },
-                  "default": {
-                      "description": "Error response describing why the operation failed.",
-                      "content": {
-                          "application/json": {
-                              "schema": {
-                                  "$ref": "#/components/schemas/ErrorResponse"
-                              }
-                          }
-                      }
-                  }
-              }
-          }
-      },
-      "/flow/api/runtimes/latestConfig": {
-          "get": {
-              "tags": [
-                  "FlowRuntimesWorkspaceIndependent"
-              ],
-              "operationId": "FlowRuntimesWorkspaceIndependent_GetRuntimeLatestConfig",
-              "responses": {
-                  "200": {
-                      "description": "Success",
-                      "content": {
-                          "application/json": {
-                              "schema": {
-                                  "$ref": "#/components/schemas/RuntimeConfiguration"
-                              }
-                          }
-                      }
-                  },
-                  "default": {
-                      "description": "Error response describing why the operation failed.",
-                      "content": {
-                          "application/json": {
-                              "schema": {
-                                  "$ref": "#/components/schemas/ErrorResponse"
-                              }
-                          }
-                      }
-                  }
-              }
-          }
-      },
-      "/flow/api/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/Flows": {
-          "post": {
-              "tags": [
-                  "Flows"
-              ],
-              "operationId": "Flows_CreateFlow",
-              "parameters": [
-                  {
-                      "$ref": "#/components/parameters/subscriptionIdParameter"
-                  },
-                  {
-                      "$ref": "#/components/parameters/resourceGroupNameParameter"
-                  },
-                  {
-                      "$ref": "#/components/parameters/workspaceNameParameter"
-                  },
-                  {
-                      "name": "experimentId",
-                      "in": "query",
-                      "schema": {
-                          "type": "string"
-                      }
-                  }
-              ],
-              "requestBody": {
-                  "content": {
-                      "application/json": {
-                          "schema": {
-                              "$ref": "#/components/schemas/CreateFlowRequest"
-                          }
-                      }
-                  }
-              },
-              "responses": {
-                  "200": {
-                      "description": "Success",
-                      "content": {
-                          "application/json": {
-                              "schema": {
-                                  "$ref": "#/components/schemas/FlowDto"
-                              }
-                          }
-                      }
-                  },
-                  "default": {
-                      "description": "Error response describing why the operation failed.",
-                      "content": {
-                          "application/json": {
-                              "schema": {
-                                  "$ref": "#/components/schemas/ErrorResponse"
-                              }
-                          }
-                      }
-                  }
-              }
-          },
-          "get": {
-              "tags": [
-                  "Flows"
-              ],
-              "operationId": "Flows_ListFlows",
-              "parameters": [
-                  {
-                      "$ref": "#/components/parameters/subscriptionIdParameter"
-                  },
-                  {
-                      "$ref": "#/components/parameters/resourceGroupNameParameter"
-                  },
-                  {
-                      "$ref": "#/components/parameters/workspaceNameParameter"
-                  },
-                  {
-                      "name": "experimentId",
-                      "in": "query",
-                      "schema": {
-                          "type": "string"
-                      }
-                  },
-                  {
-                      "name": "ownedOnly",
-                      "in": "query",
-                      "schema": {
-                          "type": "boolean"
-                      }
-                  },
-                  {
-                      "name": "flowType",
-                      "in": "query",
-                      "schema": {
-                          "$ref": "#/components/schemas/FlowType"
-                      }
-                  },
-                  {
-                      "name": "listViewType",
-                      "in": "query",
-                      "schema": {
-                          "$ref": "#/components/schemas/ListViewType"
-                      }
-                  }
-              ],
-              "responses": {
-                  "200": {
-                      "description": "Success",
-                      "content": {
-                          "application/json": {
-                              "schema": {
-                                  "type": "array",
-                                  "items": {
-                                      "$ref": "#/components/schemas/FlowBaseDto"
-                                  }
-                              }
-                          }
-                      }
-                  },
-                  "default": {
-                      "description": "Error response describing why the operation failed.",
-                      "content": {
-                          "application/json": {
-                              "schema": {
-                                  "$ref": "#/components/schemas/ErrorResponse"
-                              }
-                          }
-                      }
-                  }
-              }
-          }
-      },
-      "/flow/api/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/Flows/{flowId}": {
-          "put": {
-              "tags": [
-                  "Flows"
-              ],
-              "operationId": "Flows_UpdateFlow",
-              "parameters": [
-                  {
-                      "$ref": "#/components/parameters/subscriptionIdParameter"
-                  },
-                  {
-                      "$ref": "#/components/parameters/resourceGroupNameParameter"
-                  },
-                  {
-                      "$ref": "#/components/parameters/workspaceNameParameter"
-                  },
-                  {
-                      "name": "flowId",
-                      "in": "path",
-                      "required": true,
-                      "schema": {
-                          "type": "string"
-                      }
-                  },
-                  {
-                      "name": "experimentId",
-                      "in": "query",
-                      "required": true,
-                      "schema": {
-                          "type": "string"
-                      }
-                  }
-              ],
-              "requestBody": {
-                  "content": {
-                      "application/json": {
-                          "schema": {
-                              "$ref": "#/components/schemas/UpdateFlowRequest"
-                          }
-                      }
-                  }
-              },
-              "responses": {
-                  "200": {
-                      "description": "Success",
-                      "content": {
-                          "application/json": {
-                              "schema": {
-                                  "type": "string"
-                              }
-                          }
-                      }
-                  },
-                  "default": {
-                      "description": "Error response describing why the operation failed.",
-                      "content": {
-                          "application/json": {
-                              "schema": {
-                                  "$ref": "#/components/schemas/ErrorResponse"
-                              }
-                          }
-                      }
-                  }
-              }
-          },
-          "patch": {
-              "tags": [
-                  "Flows"
-              ],
-              "operationId": "Flows_PatchFlow",
-              "parameters": [
-                  {
-                      "$ref": "#/components/parameters/subscriptionIdParameter"
-                  },
-                  {
-                      "$ref": "#/components/parameters/resourceGroupNameParameter"
-                  },
-                  {
-                      "$ref": "#/components/parameters/workspaceNameParameter"
-                  },
-                  {
-                      "name": "flowId",
-                      "in": "path",
-                      "required": true,
-                      "schema": {
-                          "type": "string"
-                      }
-                  },
-                  {
-                      "name": "experimentId",
-                      "in": "query",
-                      "required": true,
-                      "schema": {
-                          "type": "string"
-                      }
-                  }
-              ],
-              "requestBody": {
-                  "content": {
-                      "application/json-patch+json": {
-                          "schema": {
-                              "$ref": "#/components/schemas/PatchFlowRequest"
-                          }
-                      }
-                  }
-              },
-              "responses": {
-                  "200": {
-                      "description": "Success",
-                      "content": {
-                          "application/json": {
-                              "schema": {
-                                  "type": "string"
-                              }
-                          }
-                      }
-                  },
-                  "default": {
-                      "description": "Error response describing why the operation failed.",
-                      "content": {
-                          "application/json": {
-                              "schema": {
-                                  "$ref": "#/components/schemas/ErrorResponse"
-                              }
-                          }
-                      }
-                  }
-              }
-          },
-          "get": {
-              "tags": [
-                  "Flows"
-              ],
-              "operationId": "Flows_GetFlow",
-              "parameters": [
-                  {
-                      "$ref": "#/components/parameters/subscriptionIdParameter"
-                  },
-                  {
-                      "$ref": "#/components/parameters/resourceGroupNameParameter"
-                  },
-                  {
-                      "$ref": "#/components/parameters/workspaceNameParameter"
-                  },
-                  {
-                      "name": "flowId",
-                      "in": "path",
-                      "required": true,
-                      "schema": {
-                          "type": "string"
-                      }
-                  },
-                  {
-                      "name": "experimentId",
-                      "in": "query",
-                      "required": true,
-                      "schema": {
-                          "type": "string"
-                      }
-                  }
-              ],
-              "responses": {
-                  "200": {
-                      "description": "Success",
-                      "content": {
-                          "application/json": {
-                              "schema": {
-                                  "$ref": "#/components/schemas/FlowDto"
-                              }
-                          }
-                      }
-                  },
-                  "default": {
-                      "description": "Error response describing why the operation failed.",
-                      "content": {
-                          "application/json": {
-                              "schema": {
-                                  "$ref": "#/components/schemas/ErrorResponse"
-                              }
-                          }
-                      }
-                  }
-              }
-          }
-      },
-      "/flow/api/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/Flows/submit": {
-          "post": {
-              "tags": [
-                  "Flows"
-              ],
-              "operationId": "Flows_SubmitFlow",
-              "parameters": [
-                  {
-                      "$ref": "#/components/parameters/subscriptionIdParameter"
-                  },
-                  {
-                      "$ref": "#/components/parameters/resourceGroupNameParameter"
-                  },
-                  {
-                      "$ref": "#/components/parameters/workspaceNameParameter"
-                  },
-                  {
-                      "name": "experimentId",
-                      "in": "query",
-                      "required": true,
-                      "schema": {
-                          "type": "string"
-                      }
-                  },
-                  {
-                      "name": "endpointName",
-                      "in": "query",
-                      "schema": {
-                          "type": "string"
-                      }
-                  }
-              ],
-              "requestBody": {
-                  "content": {
-                      "application/json": {
-                          "schema": {
-                              "$ref": "#/components/schemas/SubmitFlowRequest"
-                          }
-                      }
-                  }
-              },
-              "responses": {
-                  "200": {
-                      "description": "Success",
-                      "content": {
-                          "application/json": {
-                              "schema": {
-                                  "$ref": "#/components/schemas/FlowRunResult"
-                              }
-                          }
-                      }
-                  },
-                  "default": {
-                      "description": "Error response describing why the operation failed.",
-                      "content": {
-                          "application/json": {
-                              "schema": {
-                                  "$ref": "#/components/schemas/ErrorResponse"
-                              }
-                          }
-                      }
-                  }
-              }
-          }
-      },
-      "/flow/api/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/Flows/{flowId}/{flowRunId}/status": {
-          "get": {
-              "tags": [
-                  "Flows"
-              ],
-              "operationId": "Flows_GetFlowRunStatus",
-              "parameters": [
-                  {
-                      "$ref": "#/components/parameters/subscriptionIdParameter"
-                  },
-                  {
-                      "$ref": "#/components/parameters/resourceGroupNameParameter"
-                  },
-                  {
-                      "$ref": "#/components/parameters/workspaceNameParameter"
-                  },
-                  {
-                      "name": "flowId",
-                      "in": "path",
-                      "required": true,
-                      "schema": {
-                          "type": "string"
-                      }
-                  },
-                  {
-                      "name": "flowRunId",
-                      "in": "path",
-                      "required": true,
-                      "schema": {
-                          "type": "string"
-                      }
-                  },
-                  {
-                      "name": "experimentId",
-                      "in": "query",
-                      "schema": {
-                          "type": "string"
-                      }
-                  }
-              ],
-              "responses": {
-                  "200": {
-                      "description": "Success",
-                      "content": {
-                          "application/json": {
-                              "schema": {
-                                  "$ref": "#/components/schemas/FlowRunResult"
-                              }
-                          }
-                      }
-                  },
-                  "default": {
-                      "description": "Error response describing why the operation failed.",
-                      "content": {
-                          "application/json": {
-                              "schema": {
-                                  "$ref": "#/components/schemas/ErrorResponse"
-                              }
-                          }
-                      }
-                  }
-              }
-          }
-      },
-      "/flow/api/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/Flows/{flowId}/runs/{flowRunId}": {
-          "get": {
-              "tags": [
-                  "Flows"
-              ],
-              "operationId": "Flows_GetFlowRunInfo",
-              "parameters": [
-                  {
-                      "$ref": "#/components/parameters/subscriptionIdParameter"
-                  },
-                  {
-                      "$ref": "#/components/parameters/resourceGroupNameParameter"
-                  },
-                  {
-                      "$ref": "#/components/parameters/workspaceNameParameter"
-                  },
-                  {
-                      "name": "flowId",
-                      "in": "path",
-                      "required": true,
-                      "schema": {
-                          "type": "string"
-                      }
-                  },
-                  {
-                      "name": "flowRunId",
-                      "in": "path",
-                      "required": true,
-                      "schema": {
-                          "type": "string"
-                      }
-                  },
-                  {
-                      "name": "experimentId",
-                      "in": "query",
-                      "required": true,
-                      "schema": {
-                          "type": "string"
-                      }
-                  }
-              ],
-              "responses": {
-                  "200": {
-                      "description": "Success",
-                      "content": {
-                          "application/json": {
-                              "schema": {
-                                  "$ref": "#/components/schemas/FlowRunInfo"
-                              }
-                          }
-                      }
-                  },
-                  "default": {
-                      "description": "Error response describing why the operation failed.",
-                      "content": {
-                          "application/json": {
-                              "schema": {
-                                  "$ref": "#/components/schemas/ErrorResponse"
-                              }
-                          }
-                      }
-                  }
-              }
-          }
-      },
-      "/flow/api/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/Flows/{flowId}/runs/{flowRunId}/childRuns": {
-          "get": {
-              "tags": [
-                  "Flows"
-              ],
-              "operationId": "Flows_GetFlowChildRuns",
-              "parameters": [
-                  {
-                      "$ref": "#/components/parameters/subscriptionIdParameter"
-                  },
-                  {
-                      "$ref": "#/components/parameters/resourceGroupNameParameter"
-                  },
-                  {
-                      "$ref": "#/components/parameters/workspaceNameParameter"
-                  },
-                  {
-                      "name": "flowId",
-                      "in": "path",
-                      "required": true,
-                      "schema": {
-                          "type": "string"
-                      }
-                  },
-                  {
-                      "name": "flowRunId",
-                      "in": "path",
-                      "required": true,
-                      "schema": {
-                          "type": "string"
-                      }
-                  },
-                  {
-                      "name": "index",
-                      "in": "query",
-                      "schema": {
-                          "type": "integer",
-                          "format": "int32"
-                      }
-                  },
-                  {
-                      "name": "startIndex",
-                      "in": "query",
-                      "schema": {
-                          "type": "integer",
-                          "format": "int32"
-                      }
-                  },
-                  {
-                      "name": "endIndex",
-                      "in": "query",
-                      "schema": {
-                          "type": "integer",
-                          "format": "int32"
-                      }
-                  }
-              ],
-              "responses": {
-                  "200": {
-                      "description": "Success",
-                      "content": {
-                          "application/json": {
-                              "schema": {
-                                  "type": "array",
-                                  "items": {}
-                              }
-                          }
-                      }
-                  },
-                  "default": {
-                      "description": "Error response describing why the operation failed.",
-                      "content": {
-                          "application/json": {
-                              "schema": {
-                                  "$ref": "#/components/schemas/ErrorResponse"
-                              }
-                          }
-                      }
-                  }
-              }
-          }
-      },
-      "/flow/api/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/Flows/{flowId}/runs/{flowRunId}/nodeRuns/{nodeName}": {
-          "get": {
-              "tags": [
-                  "Flows"
-              ],
-              "operationId": "Flows_GetFlowNodeRuns",
-              "parameters": [
-                  {
-                      "$ref": "#/components/parameters/subscriptionIdParameter"
-                  },
-                  {
-                      "$ref": "#/components/parameters/resourceGroupNameParameter"
-                  },
-                  {
-                      "$ref": "#/components/parameters/workspaceNameParameter"
-                  },
-                  {
-                      "name": "flowId",
-                      "in": "path",
-                      "required": true,
-                      "schema": {
-                          "type": "string"
-                      }
-                  },
-                  {
-                      "name": "flowRunId",
-                      "in": "path",
-                      "required": true,
-                      "schema": {
-                          "type": "string"
-                      }
-                  },
-                  {
-                      "name": "nodeName",
-                      "in": "path",
-                      "required": true,
-                      "schema": {
-                          "type": "string"
-                      }
-                  },
-                  {
-                      "name": "index",
-                      "in": "query",
-                      "schema": {
-                          "type": "integer",
-                          "format": "int32"
-                      }
-                  },
-                  {
-                      "name": "startIndex",
-                      "in": "query",
-                      "schema": {
-                          "type": "integer",
-                          "format": "int32"
-                      }
-                  },
-                  {
-                      "name": "endIndex",
-                      "in": "query",
-                      "schema": {
-                          "type": "integer",
-                          "format": "int32"
-                      }
-                  },
-                  {
-                      "name": "aggregation",
-                      "in": "query",
-                      "schema": {
-                          "type": "boolean",
-                          "default": false
-                      }
-                  }
-              ],
-              "responses": {
-                  "200": {
-                      "description": "Success",
-                      "content": {
-                          "application/json": {
-                              "schema": {
-                                  "type": "array",
-                                  "items": {}
-                              }
-                          }
-                      }
-                  },
-                  "default": {
-                      "description": "Error response describing why the operation failed.",
-                      "content": {
-                          "application/json": {
-                              "schema": {
-                                  "$ref": "#/components/schemas/ErrorResponse"
-                              }
-                          }
-                      }
-                  }
-              }
-          }
-      },
-      "/flow/api/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/Flows/{flowId}/runs/{flowRunId}/nodeRuns/{nodeName}/basePath": {
-          "get": {
-              "tags": [
-                  "Flows"
-              ],
-              "operationId": "Flows_GetFlowNodeRunBasePath",
-              "parameters": [
-                  {
-                      "$ref": "#/components/parameters/subscriptionIdParameter"
-                  },
-                  {
-                      "$ref": "#/components/parameters/resourceGroupNameParameter"
-                  },
-                  {
-                      "$ref": "#/components/parameters/workspaceNameParameter"
-                  },
-                  {
-                      "name": "flowId",
-                      "in": "path",
-                      "required": true,
-                      "schema": {
-                          "type": "string"
-                      }
-                  },
-                  {
-                      "name": "flowRunId",
-                      "in": "path",
-                      "required": true,
-                      "schema": {
-                          "type": "string"
-                      }
-                  },
-                  {
-                      "name": "nodeName",
-                      "in": "path",
-                      "required": true,
-                      "schema": {
-                          "type": "string"
-                      }
-                  }
-              ],
-              "responses": {
-                  "200": {
-                      "description": "Success",
-                      "content": {
-                          "application/json": {
-                              "schema": {
-                                  "$ref": "#/components/schemas/FlowRunBasePath"
-                              }
-                          }
-                      }
-                  },
-                  "default": {
-                      "description": "Error response describing why the operation failed.",
-                      "content": {
-                          "application/json": {
-                              "schema": {
-                                  "$ref": "#/components/schemas/ErrorResponse"
-                              }
-                          }
-                      }
-                  }
-              }
-          }
-      },
-      "/flow/api/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/Flows/{flowId}/bulkTests": {
-          "get": {
-              "tags": [
-                  "Flows"
-              ],
-              "operationId": "Flows_ListBulkTests",
-              "parameters": [
-                  {
-                      "$ref": "#/components/parameters/subscriptionIdParameter"
-                  },
-                  {
-                      "$ref": "#/components/parameters/resourceGroupNameParameter"
-                  },
-                  {
-                      "$ref": "#/components/parameters/workspaceNameParameter"
-                  },
-                  {
-                      "name": "flowId",
-                      "in": "path",
-                      "required": true,
-                      "schema": {
-                          "type": "string"
-                      }
-                  },
-                  {
-                      "name": "experimentId",
-                      "in": "query",
-                      "schema": {
-                          "type": "string"
-                      }
-                  }
-              ],
-              "responses": {
-                  "200": {
-                      "description": "Success",
-                      "content": {
-                          "application/json": {
-                              "schema": {
-                                  "type": "array",
-                                  "items": {
-                                      "$ref": "#/components/schemas/BulkTestDto"
-                                  }
-                              }
-                          }
-                      }
-                  },
-                  "default": {
-                      "description": "Error response describing why the operation failed.",
-                      "content": {
-                          "application/json": {
-                              "schema": {
-                                  "$ref": "#/components/schemas/ErrorResponse"
-                              }
-                          }
-                      }
-                  }
-              }
-          }
-      },
-      "/flow/api/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/Flows/{flowId}/bulkTests/{bulkTestId}": {
-          "get": {
-              "tags": [
-                  "Flows"
-              ],
-              "operationId": "Flows_GetBulkTest",
-              "parameters": [
-                  {
-                      "$ref": "#/components/parameters/subscriptionIdParameter"
-                  },
-                  {
-                      "$ref": "#/components/parameters/resourceGroupNameParameter"
-                  },
-                  {
-                      "$ref": "#/components/parameters/workspaceNameParameter"
-                  },
-                  {
-                      "name": "flowId",
-                      "in": "path",
-                      "required": true,
-                      "schema": {
-                          "type": "string"
-                      }
-                  },
-                  {
-                      "name": "bulkTestId",
-                      "in": "path",
-                      "required": true,
-                      "schema": {
-                          "type": "string"
-                      }
-                  }
-              ],
-              "responses": {
-                  "200": {
-                      "description": "Success",
-                      "content": {
-                          "application/json": {
-                              "schema": {
-                                  "$ref": "#/components/schemas/BulkTestDto"
-                              }
-                          }
-                      }
-                  },
-                  "default": {
-                      "description": "Error response describing why the operation failed.",
-                      "content": {
-                          "application/json": {
-                              "schema": {
-                                  "$ref": "#/components/schemas/ErrorResponse"
-                              }
-                          }
-                      }
-                  }
-              }
-          }
-      },
-      "/flow/api/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/Flows/DeployReservedEnvironmentVariableNames": {
-          "get": {
-              "tags": [
-                  "Flows"
-              ],
-              "operationId": "Flows_GetFlowDeployReservedEnvironmentVariableNames",
-              "parameters": [
-                  {
-                      "$ref": "#/components/parameters/subscriptionIdParameter"
-                  },
-                  {
-                      "$ref": "#/components/parameters/resourceGroupNameParameter"
-                  },
-                  {
-                      "$ref": "#/components/parameters/workspaceNameParameter"
-                  }
-              ],
-              "responses": {
-                  "200": {
-                      "description": "Success",
-                      "content": {
-                          "application/json": {
-                              "schema": {
-                                  "type": "array",
-                                  "items": {
-                                      "type": "string"
-                                  }
-                              }
-                          }
-                      }
-                  },
-                  "default": {
-                      "description": "Error response describing why the operation failed.",
-                      "content": {
-                          "application/json": {
-                              "schema": {
-                                  "$ref": "#/components/schemas/ErrorResponse"
-                              }
-                          }
-                      }
-                  }
-              }
-          }
-      },
-      "/flow/api/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/Flows/deploy": {
-          "post": {
-              "tags": [
-                  "Flows"
-              ],
-              "operationId": "Flows_DeployFlow",
-              "parameters": [
-                  {
-                      "$ref": "#/components/parameters/subscriptionIdParameter"
-                  },
-                  {
-                      "$ref": "#/components/parameters/resourceGroupNameParameter"
-                  },
-                  {
-                      "$ref": "#/components/parameters/workspaceNameParameter"
-                  },
-                  {
-                      "name": "asyncCall",
-                      "in": "query",
-                      "schema": {
-                          "type": "boolean",
-                          "default": false
-                      }
-                  },
-                  {
-                      "name": "msiToken",
-                      "in": "query",
-                      "schema": {
-                          "type": "boolean",
-                          "default": false
-                      }
-                  }
-              ],
-              "requestBody": {
-                  "content": {
-                      "application/json": {
-                          "schema": {
-                              "$ref": "#/components/schemas/DeployFlowRequest"
-                          }
-                      }
-                  }
-              },
-              "responses": {
-                  "200": {
-                      "description": "Success",
-                      "content": {
-                          "application/json": {
-                              "schema": {
-                                  "type": "string"
-                              }
-                          }
-                      }
-                  },
-                  "default": {
-                      "description": "Error response describing why the operation failed.",
-                      "content": {
-                          "application/json": {
-                              "schema": {
-                                  "$ref": "#/components/schemas/ErrorResponse"
-                              }
-                          }
-                      }
-                  }
-              }
-          }
-      },
-      "/flow/api/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/Flows/{flowId}/runs/{flowRunId}/logContent": {
-          "get": {
-              "tags": [
-                  "Flows"
-              ],
-              "operationId": "Flows_GetFlowRunLogContent",
-              "parameters": [
-                  {
-                      "$ref": "#/components/parameters/subscriptionIdParameter"
-                  },
-                  {
-                      "$ref": "#/components/parameters/resourceGroupNameParameter"
-                  },
-                  {
-                      "$ref": "#/components/parameters/workspaceNameParameter"
-                  },
-                  {
-                      "name": "flowId",
-                      "in": "path",
-                      "required": true,
-                      "schema": {
-                          "type": "string"
-                      }
-                  },
-                  {
-                      "name": "flowRunId",
-                      "in": "path",
-                      "required": true,
-                      "schema": {
-                          "type": "string"
-                      }
-                  }
-              ],
-              "responses": {
-                  "200": {
-                      "description": "Success",
-                      "content": {
-                          "application/json": {
-                              "schema": {
-                                  "type": "string"
-                              }
-                          }
-                      }
-                  },
-                  "default": {
-                      "description": "Error response describing why the operation failed.",
-                      "content": {
-                          "application/json": {
-                              "schema": {
-                                  "$ref": "#/components/schemas/ErrorResponse"
-                              }
-                          }
-                      }
-                  }
-              }
-          }
-      },
-      "/flow/api/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/Flows/runs/{flowRunId}/cancel": {
-          "post": {
-              "tags": [
-                  "Flows"
-              ],
-              "operationId": "Flows_CancelFlowRun",
-              "parameters": [
-                  {
-                      "$ref": "#/components/parameters/subscriptionIdParameter"
-                  },
-                  {
-                      "$ref": "#/components/parameters/resourceGroupNameParameter"
-                  },
-                  {
-                      "$ref": "#/components/parameters/workspaceNameParameter"
-                  },
-                  {
-                      "name": "flowRunId",
-                      "in": "path",
-                      "required": true,
-                      "schema": {
-                          "type": "string"
-                      }
-                  }
-              ],
-              "responses": {
-                  "200": {
-                      "description": "Success",
-                      "content": {
-                          "text/plain": {
-                              "schema": {
-                                  "type": "string"
-                              }
-                          }
-                      }
-                  },
-                  "default": {
-                      "description": "Error response describing why the operation failed.",
-                      "content": {
-                          "application/json": {
-                              "schema": {
-                                  "$ref": "#/components/schemas/ErrorResponse"
-                              }
-                          }
-                      }
-                  }
-              }
-          }
-      },
-      "/flow/api/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/Flows/{flowId}/flowTests/{flowRunId}/cancel": {
-          "post": {
-              "tags": [
-                  "Flows"
-              ],
-              "operationId": "Flows_CancelFlowTest",
-              "parameters": [
-                  {
-                      "$ref": "#/components/parameters/subscriptionIdParameter"
-                  },
-                  {
-                      "$ref": "#/components/parameters/resourceGroupNameParameter"
-                  },
-                  {
-                      "$ref": "#/components/parameters/workspaceNameParameter"
-                  },
-                  {
-                      "name": "flowId",
-                      "in": "path",
-                      "required": true,
-                      "schema": {
-                          "type": "string"
-                      }
-                  },
-                  {
-                      "name": "flowRunId",
-                      "in": "path",
-                      "required": true,
-                      "schema": {
-                          "type": "string"
-                      }
-                  }
-              ],
-              "responses": {
-                  "200": {
-                      "description": "Success",
-                      "content": {
-                          "text/plain": {
-                              "schema": {
-                                  "type": "string"
-                              }
-                          }
-                      }
-                  },
-                  "default": {
-                      "description": "Error response describing why the operation failed.",
-                      "content": {
-                          "application/json": {
-                              "schema": {
-                                  "$ref": "#/components/schemas/ErrorResponse"
-                              }
-                          }
-                      }
-                  }
-              }
-          }
-      },
-      "/flow/api/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/Flows/bulkTests/{bulkTestRunId}/cancel": {
-          "post": {
-              "tags": [
-                  "Flows"
-              ],
-              "operationId": "Flows_CancelBulkTestRun",
-              "parameters": [
-                  {
-                      "$ref": "#/components/parameters/subscriptionIdParameter"
-                  },
-                  {
-                      "$ref": "#/components/parameters/resourceGroupNameParameter"
-                  },
-                  {
-                      "$ref": "#/components/parameters/workspaceNameParameter"
-                  },
-                  {
-                      "name": "bulkTestRunId",
-                      "in": "path",
-                      "required": true,
-                      "schema": {
-                          "type": "string"
-                      }
-                  }
-              ],
-              "responses": {
-                  "200": {
-                      "description": "Success",
-                      "content": {
-                          "text/plain": {
-                              "schema": {
-                                  "type": "string"
-                              }
-                          }
-                      }
-                  },
-                  "default": {
-                      "description": "Error response describing why the operation failed.",
-                      "content": {
-                          "application/json": {
-                              "schema": {
-                                  "$ref": "#/components/schemas/ErrorResponse"
-                              }
-                          }
-                      }
-                  }
-              }
-          }
-      },
-      "/flow/api/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/Flows/FlowSnapshot": {
-          "post": {
-              "tags": [
-                  "Flows"
-              ],
-              "operationId": "Flows_GetFlowSnapshot",
-              "parameters": [
-                  {
-                      "$ref": "#/components/parameters/subscriptionIdParameter"
-                  },
-                  {
-                      "$ref": "#/components/parameters/resourceGroupNameParameter"
-                  },
-                  {
-                      "$ref": "#/components/parameters/workspaceNameParameter"
-                  }
-              ],
-              "requestBody": {
-                  "content": {
-                      "application/json": {
-                          "schema": {
-                              "$ref": "#/components/schemas/CreateFlowRequest"
-                          }
-                      }
-                  }
-              },
-              "responses": {
-                  "200": {
-                      "description": "Success",
-                      "content": {
-                          "application/json": {
-                              "schema": {
-                                  "$ref": "#/components/schemas/FlowSnapshot"
-                              }
-                          }
-                      }
-                  },
-                  "default": {
-                      "description": "Error response describing why the operation failed.",
-                      "content": {
-                          "application/json": {
-                              "schema": {
-                                  "$ref": "#/components/schemas/ErrorResponse"
-                              }
-                          }
-                      }
-                  }
-              }
-          }
-      },
-      "/flow/api/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/Flows/connectionOverride": {
-          "post": {
-              "tags": [
-                  "Flows"
-              ],
-              "operationId": "Flows_GetConnectionOverrideSettings",
-              "parameters": [
-                  {
-                      "$ref": "#/components/parameters/subscriptionIdParameter"
-                  },
-                  {
-                      "$ref": "#/components/parameters/resourceGroupNameParameter"
-                  },
-                  {
-                      "$ref": "#/components/parameters/workspaceNameParameter"
-                  },
-                  {
-                      "name": "runtimeName",
-                      "in": "query",
-                      "schema": {
-                          "type": "string"
-                      }
-                  }
-              ],
-              "requestBody": {
-                  "content": {
-                      "application/json": {
-                          "schema": {
-                              "$ref": "#/components/schemas/FlowGraphReference"
-                          }
-                      }
-                  }
-              },
-              "responses": {
-                  "200": {
-                      "description": "Success",
-                      "content": {
-                          "application/json": {
-                              "schema": {
-                                  "type": "array",
-                                  "items": {
-                                      "$ref": "#/components/schemas/ConnectionOverrideSetting"
-                                  }
-                              }
-                          }
-                      }
-                  },
-                  "default": {
-                      "description": "Error response describing why the operation failed.",
-                      "content": {
-                          "application/json": {
-                              "schema": {
-                                  "$ref": "#/components/schemas/ErrorResponse"
-                              }
-                          }
-                      }
-                  }
-              }
-          }
-      },
-      "/flow/api/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/Flows/flowInputs": {
-          "post": {
-              "tags": [
-                  "Flows"
-              ],
-              "operationId": "Flows_GetFlowInputs",
-              "parameters": [
-                  {
-                      "$ref": "#/components/parameters/subscriptionIdParameter"
-                  },
-                  {
-                      "$ref": "#/components/parameters/resourceGroupNameParameter"
-                  },
-                  {
-                      "$ref": "#/components/parameters/workspaceNameParameter"
-                  }
-              ],
-              "requestBody": {
-                  "content": {
-                      "application/json": {
-                          "schema": {
-                              "$ref": "#/components/schemas/FlowGraphReference"
-                          }
-                      }
-                  }
-              },
-              "responses": {
-                  "200": {
-                      "description": "Success",
-                      "content": {
-                          "application/json": {
-                              "schema": {
-                                  "type": "object",
-                                  "additionalProperties": {
-                                      "$ref": "#/components/schemas/FlowInputDefinition"
-                                  },
-                                  "description": "This is a dictionary"
-                              }
-                          }
-                      }
-                  },
-                  "default": {
-                      "description": "Error response describing why the operation failed.",
-                      "content": {
-                          "application/json": {
-                              "schema": {
-                                  "$ref": "#/components/schemas/ErrorResponse"
-                              }
-                          }
-                      }
-                  }
-              }
-          }
-      },
-      "/flow/api/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/Flows/LoadAsComponent": {
-          "post": {
-              "tags": [
-                  "Flows"
-              ],
-              "operationId": "Flows_LoadAsComponent",
-              "parameters": [
-                  {
-                      "$ref": "#/components/parameters/subscriptionIdParameter"
-                  },
-                  {
-                      "$ref": "#/components/parameters/resourceGroupNameParameter"
-                  },
-                  {
-                      "$ref": "#/components/parameters/workspaceNameParameter"
-                  }
-              ],
-              "requestBody": {
-                  "content": {
-                      "application/json": {
-                          "schema": {
-                              "$ref": "#/components/schemas/LoadFlowAsComponentRequest"
-                          }
-                      }
-                  }
-              },
-              "responses": {
-                  "200": {
-                      "description": "Success",
-                      "content": {
-                          "application/json": {
-                              "schema": {
-                                  "type": "string"
-                              }
-                          }
-                      }
-                  },
-                  "default": {
-                      "description": "Error response describing why the operation failed.",
-                      "content": {
-                          "application/json": {
-                              "schema": {
-                                  "$ref": "#/components/schemas/ErrorResponse"
-                              }
-                          }
-                      }
-                  }
-              }
-          }
-      },
-      "/flow/api/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/Flows/{flowId}/flowTools": {
-          "get": {
-              "tags": [
-                  "Flows"
-              ],
-              "operationId": "Flows_GetFlowTools",
-              "parameters": [
-                  {
-                      "$ref": "#/components/parameters/subscriptionIdParameter"
-                  },
-                  {
-                      "$ref": "#/components/parameters/resourceGroupNameParameter"
-                  },
-                  {
-                      "$ref": "#/components/parameters/workspaceNameParameter"
-                  },
-                  {
-                      "name": "flowId",
-                      "in": "path",
-                      "required": true,
-                      "schema": {
-                          "type": "string"
-                      }
-                  },
-                  {
-                      "name": "flowRuntimeName",
-                      "in": "query",
-                      "schema": {
-                          "type": "string"
-                      }
-                  },
-                  {
-                      "name": "experimentId",
-                      "in": "query",
-                      "required": true,
-                      "schema": {
-                          "type": "string"
-                      }
-                  }
-              ],
-              "responses": {
-                  "200": {
-                      "description": "Success",
-                      "content": {
-                          "application/json": {
-                              "schema": {
-                                  "$ref": "#/components/schemas/FlowToolsDto"
-                              }
-                          }
-                      }
-                  },
-                  "default": {
-                      "description": "Error response describing why the operation failed.",
-                      "content": {
-                          "application/json": {
-                              "schema": {
-                                  "$ref": "#/components/schemas/ErrorResponse"
-                              }
-                          }
-                      }
-                  }
-              }
-          }
-      },
-      "/flow/api/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/Flows/{flowId}/sessions": {
-          "post": {
-              "tags": [
-                  "Flows"
-              ],
-              "operationId": "Flows_SetupFlowSession",
-              "parameters": [
-                  {
-                      "$ref": "#/components/parameters/subscriptionIdParameter"
-                  },
-                  {
-                      "$ref": "#/components/parameters/resourceGroupNameParameter"
-                  },
-                  {
-                      "$ref": "#/components/parameters/workspaceNameParameter"
-                  },
-                  {
-                      "name": "flowId",
-                      "in": "path",
-                      "required": true,
-                      "schema": {
-                          "type": "string"
-                      }
-                  },
-                  {
-                      "name": "experimentId",
-                      "in": "query",
-                      "required": true,
-                      "schema": {
-                          "type": "string"
-                      }
-                  }
-              ],
-              "requestBody": {
-                  "content": {
-                      "application/json": {
-                          "schema": {
-                              "$ref": "#/components/schemas/SetupFlowSessionRequest"
-                          }
-                      }
-                  }
-              },
-              "responses": {
-                  "200": {
-                      "description": "Success",
-                      "content": {
-                          "application/json": {
-                              "schema": {
-                                  "$ref": "#/components/schemas/IActionResult"
-                              }
-                          }
-                      }
-                  },
-                  "202": {
-                      "description": "Accepted",
-                      "content": {
-                          "application/json": {
-                              "schema": {
-                                  "$ref": "#/components/schemas/IActionResult"
-                              }
-                          }
-                      }
-                  },
-                  "default": {
-                      "description": "Error response describing why the operation failed.",
-                      "content": {
-                          "application/json": {
-                              "schema": {
-                                  "$ref": "#/components/schemas/ErrorResponse"
-                              }
-                          }
-                      }
-                  }
-              }
-          },
-          "delete": {
-              "tags": [
-                  "Flows"
-              ],
-              "operationId": "Flows_DeleteFlowSession",
-              "parameters": [
-                  {
-                      "$ref": "#/components/parameters/subscriptionIdParameter"
-                  },
-                  {
-                      "$ref": "#/components/parameters/resourceGroupNameParameter"
-                  },
-                  {
-                      "$ref": "#/components/parameters/workspaceNameParameter"
-                  },
-                  {
-                      "name": "flowId",
-                      "in": "path",
-                      "required": true,
-                      "schema": {
-                          "type": "string"
-                      }
-                  },
-                  {
-                      "name": "experimentId",
-                      "in": "query",
-                      "required": true,
-                      "schema": {
-                          "type": "string"
-                      }
-                  }
-              ],
-              "responses": {
-                  "200": {
-                      "description": "Success",
-                      "content": {
-                          "application/json": {
-                              "schema": {
-                                  "$ref": "#/components/schemas/IActionResult"
-                              }
-                          }
-                      }
-                  },
-                  "202": {
-                      "description": "Accepted",
-                      "content": {
-                          "application/json": {
-                              "schema": {
-                                  "$ref": "#/components/schemas/IActionResult"
-                              }
-                          }
-                      }
-                  },
-                  "default": {
-                      "description": "Error response describing why the operation failed.",
-                      "content": {
-                          "application/json": {
-                              "schema": {
-                                  "$ref": "#/components/schemas/ErrorResponse"
-                              }
-                          }
-                      }
-                  }
-              }
-          }
-      },
-      "/flow/api/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/Flows/{flowId}/sessions/status": {
-          "get": {
-              "tags": [
-                  "Flows"
-              ],
-              "operationId": "Flows_GetFlowSessionStatus",
-              "parameters": [
-                  {
-                      "$ref": "#/components/parameters/subscriptionIdParameter"
-                  },
-                  {
-                      "$ref": "#/components/parameters/resourceGroupNameParameter"
-                  },
-                  {
-                      "$ref": "#/components/parameters/workspaceNameParameter"
-                  },
-                  {
-                      "name": "flowId",
-                      "in": "path",
-                      "required": true,
-                      "schema": {
-                          "type": "string"
-                      }
-                  },
-                  {
-                      "name": "experimentId",
-                      "in": "query",
-                      "required": true,
-                      "schema": {
-                          "type": "string"
-                      }
-                  }
-              ],
-              "responses": {
-                  "200": {
-                      "description": "Success",
-                      "content": {
-                          "application/json": {
-                              "schema": {
-                                  "$ref": "#/components/schemas/FlowSessionDto"
-                              }
-                          }
-                      }
-                  },
-                  "default": {
-                      "description": "Error response describing why the operation failed.",
-                      "content": {
-                          "application/json": {
-                              "schema": {
-                                  "$ref": "#/components/schemas/ErrorResponse"
-                              }
-                          }
-                      }
-                  }
-              }
-          }
-      },
-      "/flow/api/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/Flows/{flowId}/sessions/pipPackages": {
-          "get": {
-              "tags": [
-                  "Flows"
-              ],
-              "operationId": "Flows_ListFlowSessionPipPackages",
-              "parameters": [
-                  {
-                      "$ref": "#/components/parameters/subscriptionIdParameter"
-                  },
-                  {
-                      "$ref": "#/components/parameters/resourceGroupNameParameter"
-                  },
-                  {
-                      "$ref": "#/components/parameters/workspaceNameParameter"
-                  },
-                  {
-                      "name": "flowId",
-                      "in": "path",
-                      "required": true,
-                      "schema": {
-                          "type": "string"
-                      }
-                  },
-                  {
-                      "name": "experimentId",
-                      "in": "query",
-                      "required": true,
-                      "schema": {
-                          "type": "string"
-                      }
-                  }
-              ],
-              "responses": {
-                  "200": {
-                      "description": "Success",
-                      "content": {
-                          "application/json": {
-                              "schema": {
-                                  "type": "string"
-                              }
-                          }
-                      }
-                  },
-                  "default": {
-                      "description": "Error response describing why the operation failed.",
-                      "content": {
-                          "application/json": {
-                              "schema": {
-                                  "$ref": "#/components/schemas/ErrorResponse"
-                              }
-                          }
-                      }
-                  }
-              }
-          }
-      },
-      "/flow/api/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/FlowSessions/{sessionId}": {
-          "post": {
-              "tags": [
-                  "FlowSessions"
-              ],
-              "operationId": "FlowSessions_CreateFlowSession",
-              "parameters": [
-                  {
-                      "$ref": "#/components/parameters/subscriptionIdParameter"
-                  },
-                  {
-                      "$ref": "#/components/parameters/resourceGroupNameParameter"
-                  },
-                  {
-                      "$ref": "#/components/parameters/workspaceNameParameter"
-                  },
-                  {
-                      "name": "sessionId",
-                      "in": "path",
-                      "required": true,
-                      "schema": {
-                          "type": "string"
-                      }
-                  }
-              ],
-              "requestBody": {
-                  "content": {
-                      "application/json": {
-                          "schema": {
-                              "$ref": "#/components/schemas/CreateFlowSessionRequest"
-                          }
-                      }
-                  }
-              },
-              "responses": {
-                  "200": {
-                      "description": "Success",
-                      "content": {
-                          "application/json": {
-                              "schema": {
-                                  "$ref": "#/components/schemas/IActionResult"
-                              }
-                          }
-                      }
-                  },
-                  "202": {
-                      "description": "Accepted",
-                      "content": {
-                          "application/json": {
-                              "schema": {
-                                  "$ref": "#/components/schemas/IActionResult"
-                              }
-                          }
-                      }
-                  },
-                  "default": {
-                      "description": "Error response describing why the operation failed.",
-                      "content": {
-                          "application/json": {
-                              "schema": {
-                                  "$ref": "#/components/schemas/ErrorResponse"
-                              }
-                          }
-                      }
-                  }
-              }
-          },
-          "get": {
-              "tags": [
-                  "FlowSessions"
-              ],
-              "operationId": "FlowSessions_GetFlowSession",
-              "parameters": [
-                  {
-                      "$ref": "#/components/parameters/subscriptionIdParameter"
-                  },
-                  {
-                      "$ref": "#/components/parameters/resourceGroupNameParameter"
-                  },
-                  {
-                      "$ref": "#/components/parameters/workspaceNameParameter"
-                  },
-                  {
-                      "name": "sessionId",
-                      "in": "path",
-                      "required": true,
-                      "schema": {
-                          "type": "string"
-                      }
-                  }
-              ],
-              "responses": {
-                  "200": {
-                      "description": "Success",
-                      "content": {
-                          "application/json": {
-                              "schema": {
-                                  "$ref": "#/components/schemas/GetTrainingSessionDto"
-                              }
-                          }
-                      }
-                  },
-                  "default": {
-                      "description": "Error response describing why the operation failed.",
-                      "content": {
-                          "application/json": {
-                              "schema": {
-                                  "$ref": "#/components/schemas/ErrorResponse"
-                              }
-                          }
-                      }
-                  }
-              }
-          },
-          "delete": {
-              "tags": [
-                  "FlowSessions"
-              ],
-              "operationId": "FlowSessions_DeleteFlowSession",
-              "parameters": [
-                  {
-                      "$ref": "#/components/parameters/subscriptionIdParameter"
-                  },
-                  {
-                      "$ref": "#/components/parameters/resourceGroupNameParameter"
-                  },
-                  {
-                      "$ref": "#/components/parameters/workspaceNameParameter"
-                  },
-                  {
-                      "name": "sessionId",
-                      "in": "path",
-                      "required": true,
-                      "schema": {
-                          "type": "string"
-                      }
-                  }
-              ],
-              "responses": {
-                  "200": {
-                      "description": "Success",
-                      "content": {
-                          "application/json": {
-                              "schema": {
-                                  "$ref": "#/components/schemas/IActionResult"
-                              }
-                          }
-                      }
-                  },
-                  "202": {
-                      "description": "Accepted",
-                      "content": {
-                          "application/json": {
-                              "schema": {
-                                  "$ref": "#/components/schemas/IActionResult"
-                              }
-                          }
-                      }
-                  },
-                  "default": {
-                      "description": "Error response describing why the operation failed.",
-                      "content": {
-                          "application/json": {
-                              "schema": {
-                                  "$ref": "#/components/schemas/ErrorResponse"
-                              }
-                          }
-                      }
-                  }
-              }
-          }
-      },
-      "/flow/api/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/FlowSessions/{sessionId}/pipPackages": {
-          "get": {
-              "tags": [
-                  "FlowSessions"
-              ],
-              "operationId": "FlowSessions_ListFlowSessionPipPackages",
-              "parameters": [
-                  {
-                      "$ref": "#/components/parameters/subscriptionIdParameter"
-                  },
-                  {
-                      "$ref": "#/components/parameters/resourceGroupNameParameter"
-                  },
-                  {
-                      "$ref": "#/components/parameters/workspaceNameParameter"
-                  },
-                  {
-                      "name": "sessionId",
-                      "in": "path",
-                      "required": true,
-                      "schema": {
-                          "type": "string"
-                      }
-                  }
-              ],
-              "responses": {
-                  "200": {
-                      "description": "Success",
-                      "content": {
-                          "application/json": {
-                              "schema": {
-                                  "type": "string"
-                              }
-                          }
-                      }
-                  },
-                  "default": {
-                      "description": "Error response describing why the operation failed.",
-                      "content": {
-                          "application/json": {
-                              "schema": {
-                                  "$ref": "#/components/schemas/ErrorResponse"
-                              }
-                          }
-                      }
-                  }
-              }
-          }
-      },
-      "/flow/api/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/FlowSessions/{sessionId}/{actionType}/locations/{location}/operations/{operationId}": {
-          "get": {
-              "tags": [
-                  "FlowSessions"
-              ],
-              "operationId": "FlowSessions_PollOperationStatus",
-              "parameters": [
-                  {
-                      "$ref": "#/components/parameters/subscriptionIdParameter"
-                  },
-                  {
-                      "$ref": "#/components/parameters/resourceGroupNameParameter"
-                  },
-                  {
-                      "$ref": "#/components/parameters/workspaceNameParameter"
-                  },
-                  {
-                      "name": "sessionId",
-                      "in": "path",
-                      "required": true,
-                      "schema": {
-                          "type": "string"
-                      }
-                  },
-                  {
-                      "name": "actionType",
-                      "in": "path",
-                      "required": true,
-                      "schema": {
-                          "$ref": "#/components/schemas/SetupFlowSessionAction"
-                      }
-                  },
-                  {
-                      "name": "location",
-                      "in": "path",
-                      "required": true,
-                      "schema": {
-                          "type": "string"
-                      }
-                  },
-                  {
-                      "name": "operationId",
-                      "in": "path",
-                      "required": true,
-                      "schema": {
-                          "type": "string"
-                      }
-                  },
-                  {
-                      "name": "api-version",
-                      "in": "query",
-                      "schema": {
-                          "type": "string"
-                      }
-                  },
-                  {
-                      "name": "type",
-                      "in": "query",
-                      "schema": {
-                          "type": "string"
-                      }
-                  }
-              ],
-              "responses": {
-                  "200": {
-                      "description": "Success",
-                      "content": {
-                          "application/json": {
-                              "schema": {
-                                  "$ref": "#/components/schemas/IActionResult"
-                              }
-                          }
-                      }
-                  },
-                  "default": {
-                      "description": "Error response describing why the operation failed.",
-                      "content": {
-                          "application/json": {
-                              "schema": {
-                                  "$ref": "#/components/schemas/ErrorResponse"
-                              }
-                          }
-                      }
-                  }
-              }
-          }
-      },
-      "/flow/api/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/FlowSessions/standbypools": {
-          "get": {
-              "tags": [
-                  "FlowSessions"
-              ],
-              "operationId": "FlowSessions_GetStandbyPools",
-              "parameters": [
-                  {
-                      "$ref": "#/components/parameters/subscriptionIdParameter"
-                  },
-                  {
-                      "$ref": "#/components/parameters/resourceGroupNameParameter"
-                  },
-                  {
-                      "$ref": "#/components/parameters/workspaceNameParameter"
-                  }
-              ],
-              "responses": {
-                  "200": {
-                      "description": "Success",
-                      "content": {
-                          "application/json": {
-                              "schema": {
-                                  "type": "array",
-                                  "items": {
-                                      "$ref": "#/components/schemas/StandbyPoolProperties"
-                                  }
-                              }
-                          }
-                      }
-                  },
-                  "default": {
-                      "description": "Error response describing why the operation failed.",
-                      "content": {
-                          "application/json": {
-                              "schema": {
-                                  "$ref": "#/components/schemas/ErrorResponse"
-                              }
-                          }
-                      }
-                  }
-              }
-          }
-      },
-      "/flow/v1.0/flows/getIndexEntities": {
-          "post": {
-              "tags": [
-                  "FlowsProvider"
-              ],
-              "operationId": "FlowsProvider_GetIndexEntityById",
-              "parameters": [
-                  {
-                      "$ref": "#/components/parameters/subscriptionIdParameter"
-                  },
-                  {
-                      "$ref": "#/components/parameters/resourceGroupNameParameter"
-                  },
-                  {
-                      "$ref": "#/components/parameters/workspaceNameParameter"
-                  }
-              ],
-              "requestBody": {
-                  "content": {
-                      "application/json": {
-                          "schema": {
-                              "$ref": "#/components/schemas/UnversionedEntityRequestDto"
-                          }
-                      }
-                  }
-              },
-              "responses": {
-                  "200": {
-                      "description": "Success",
-                      "content": {
-                          "application/json": {
-                              "schema": {
-                                  "$ref": "#/components/schemas/UnversionedEntityResponseDto"
-                              }
-                          }
-                      }
-                  },
-                  "default": {
-                      "description": "Error response describing why the operation failed.",
-                      "content": {
-                          "application/json": {
-                              "schema": {
-                                  "$ref": "#/components/schemas/ErrorResponse"
-                              }
-                          }
-                      }
-                  }
-              }
-          }
-      },
-      "/flow/v1.0/flows/rebuildIndex": {
-          "post": {
-              "tags": [
-                  "FlowsProvider"
-              ],
-              "operationId": "FlowsProvider_GetUpdatedEntityIdsForWorkspace",
-              "parameters": [
-                  {
-                      "$ref": "#/components/parameters/subscriptionIdParameter"
-                  },
-                  {
-                      "$ref": "#/components/parameters/resourceGroupNameParameter"
-                  },
-                  {
-                      "$ref": "#/components/parameters/workspaceNameParameter"
-                  }
-              ],
-              "requestBody": {
-                  "content": {
-                      "application/json": {
-                          "schema": {
-                              "$ref": "#/components/schemas/UnversionedRebuildIndexDto"
-                          }
-                      }
-                  }
-              },
-              "responses": {
-                  "200": {
-                      "description": "Success",
-                      "content": {
-                          "application/json": {
-                              "schema": {
-                                  "$ref": "#/components/schemas/UnversionedRebuildResponseDto"
-                              }
-                          }
-                      }
-                  },
-                  "default": {
-                      "description": "Error response describing why the operation failed.",
-                      "content": {
-                          "application/json": {
-                              "schema": {
-                                  "$ref": "#/components/schemas/ErrorResponse"
-                              }
-                          }
-                      }
-                  }
-              }
-          }
-      },
-      "/flow/api/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/Tools/setting": {
-          "get": {
-              "tags": [
-                  "Tools"
-              ],
-              "operationId": "Tools_GetToolSetting",
-              "parameters": [
-                  {
-                      "$ref": "#/components/parameters/subscriptionIdParameter"
-                  },
-                  {
-                      "$ref": "#/components/parameters/resourceGroupNameParameter"
-                  },
-                  {
-                      "$ref": "#/components/parameters/workspaceNameParameter"
-                  }
-              ],
-              "responses": {
-                  "200": {
-                      "description": "Success",
-                      "content": {
-                          "application/json": {
-                              "schema": {
-                                  "$ref": "#/components/schemas/ToolSetting"
-                              }
-                          }
-                      }
-                  },
-                  "default": {
-                      "description": "Error response describing why the operation failed.",
-                      "content": {
-                          "application/json": {
-                              "schema": {
-                                  "$ref": "#/components/schemas/ErrorResponse"
-                              }
-                          }
-                      }
-                  }
-              }
-          }
-      },
-      "/flow/api/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/Tools/meta": {
-          "post": {
-              "tags": [
-                  "Tools"
-              ],
-              "operationId": "Tools_GetToolMeta",
-              "parameters": [
-                  {
-                      "$ref": "#/components/parameters/subscriptionIdParameter"
-                  },
-                  {
-                      "$ref": "#/components/parameters/resourceGroupNameParameter"
-                  },
-                  {
-                      "$ref": "#/components/parameters/workspaceNameParameter"
-                  },
-                  {
-                      "name": "toolName",
-                      "in": "query",
-                      "required": true,
-                      "schema": {
-                          "type": "string"
-                      }
-                  },
-                  {
-                      "name": "toolType",
-                      "in": "query",
-                      "required": true,
-                      "schema": {
-                          "type": "string"
-                      }
-                  },
-                  {
-                      "name": "endpointName",
-                      "in": "query",
-                      "schema": {
-                          "type": "string"
-                      }
-                  },
-                  {
-                      "name": "flowRuntimeName",
-                      "in": "query",
-                      "schema": {
-                          "type": "string"
-                      }
-                  },
-                  {
-                      "name": "flowId",
-                      "in": "query",
-                      "schema": {
-                          "type": "string"
-                      }
-                  }
-              ],
-              "requestBody": {
-                  "content": {
-                      "text/plain": {
-                          "schema": {
-                              "type": "string"
-                          }
-                      }
-                  }
-              },
-              "responses": {
-                  "200": {
-                      "description": "Success",
-                      "content": {
-                          "application/json": {
-                              "schema": {
-                                  "type": "string"
-                              }
-                          }
-                      }
-                  },
-                  "default": {
-                      "description": "Error response describing why the operation failed.",
-                      "content": {
-                          "application/json": {
-                              "schema": {
-                                  "$ref": "#/components/schemas/ErrorResponse"
-                              }
-                          }
-                      }
-                  }
-              }
-          }
-      },
-      "/flow/api/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/Tools/meta-v2": {
-          "post": {
-              "tags": [
-                  "Tools"
-              ],
-              "operationId": "Tools_GetToolMetaV2",
-              "parameters": [
-                  {
-                      "$ref": "#/components/parameters/subscriptionIdParameter"
-                  },
-                  {
-                      "$ref": "#/components/parameters/resourceGroupNameParameter"
-                  },
-                  {
-                      "$ref": "#/components/parameters/workspaceNameParameter"
-                  },
-                  {
-                      "name": "flowRuntimeName",
-                      "in": "query",
-                      "schema": {
-                          "type": "string"
-                      }
-                  },
-                  {
-                      "name": "flowId",
-                      "in": "query",
-                      "schema": {
-                          "type": "string"
-                      }
-                  }
-              ],
-              "requestBody": {
-                  "content": {
-                      "application/json": {
-                          "schema": {
-                              "$ref": "#/components/schemas/GenerateToolMetaRequest"
-                          }
-                      }
-                  }
-              },
-              "responses": {
-                  "200": {
-                      "description": "Success",
-                      "content": {
-                          "application/json": {
-                              "schema": {
-                                  "$ref": "#/components/schemas/ToolMetaDto"
-                              }
-                          }
-                      }
-                  },
-                  "default": {
-                      "description": "Error response describing why the operation failed.",
-                      "content": {
-                          "application/json": {
-                              "schema": {
-                                  "$ref": "#/components/schemas/ErrorResponse"
-                              }
-                          }
-                      }
-                  }
-              }
-          }
-      },
-      "/flow/api/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/Tools/packageTools": {
-          "get": {
-              "tags": [
-                  "Tools"
-              ],
-              "operationId": "Tools_GetPackageTools",
-              "parameters": [
-                  {
-                      "$ref": "#/components/parameters/subscriptionIdParameter"
-                  },
-                  {
-                      "$ref": "#/components/parameters/resourceGroupNameParameter"
-                  },
-                  {
-                      "$ref": "#/components/parameters/workspaceNameParameter"
-                  },
-                  {
-                      "name": "flowRuntimeName",
-                      "in": "query",
-                      "schema": {
-                          "type": "string"
-                      }
-                  },
-                  {
-                      "name": "flowId",
-                      "in": "query",
-                      "schema": {
-                          "type": "string"
-                      }
-                  }
-              ],
-              "responses": {
-                  "200": {
-                      "description": "Success",
-                      "content": {
-                          "application/json": {
-                              "schema": {
-                                  "type": "object",
-                                  "additionalProperties": {
-                                      "$ref": "#/components/schemas/Tool"
-                                  }
-                              }
-                          }
-                      }
-                  },
-                  "default": {
-                      "description": "Error response describing why the operation failed.",
-                      "content": {
-                          "application/json": {
-                              "schema": {
-                                  "$ref": "#/components/schemas/ErrorResponse"
-                              }
-                          }
-                      }
-                  }
-              }
-          }
-      },
-      "/flow/api/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/Tools/dynamicList": {
-          "post": {
-              "tags": [
-                  "Tools"
-              ],
-              "operationId": "Tools_GetDynamicList",
-              "parameters": [
-                  {
-                      "$ref": "#/components/parameters/subscriptionIdParameter"
-                  },
-                  {
-                      "$ref": "#/components/parameters/resourceGroupNameParameter"
-                  },
-                  {
-                      "$ref": "#/components/parameters/workspaceNameParameter"
-                  },
-                  {
-                      "name": "flowRuntimeName",
-                      "in": "query",
-                      "schema": {
-                          "type": "string"
-                      }
-                  },
-                  {
-                      "name": "flowId",
-                      "in": "query",
-                      "schema": {
-                          "type": "string"
-                      }
-                  }
-              ],
-              "requestBody": {
-                  "content": {
-                      "application/json": {
-                          "schema": {
-                              "$ref": "#/components/schemas/GetDynamicListRequest"
-                          }
-                      }
-                  }
-              },
-              "responses": {
-                  "200": {
-                      "description": "Success",
-                      "content": {
-                          "application/json": {
-                              "schema": {
-                                  "type": "array",
-                                  "items": {}
-                              }
-                          }
-                      }
-                  },
-                  "default": {
-                      "description": "Error response describing why the operation failed.",
-                      "content": {
-                          "application/json": {
-                              "schema": {
-                                  "$ref": "#/components/schemas/ErrorResponse"
-                              }
-                          }
-                      }
-                  }
-              }
-          }
-      },
-      "/flow/api/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/Tools/RetrieveToolFuncResult": {
-          "post": {
-              "tags": [
-                  "Tools"
-              ],
-              "operationId": "Tools_RetrieveToolFuncResult",
-              "parameters": [
-                  {
-                      "$ref": "#/components/parameters/subscriptionIdParameter"
-                  },
-                  {
-                      "$ref": "#/components/parameters/resourceGroupNameParameter"
-                  },
-                  {
-                      "$ref": "#/components/parameters/workspaceNameParameter"
-                  },
-                  {
-                      "name": "flowRuntimeName",
-                      "in": "query",
-                      "schema": {
-                          "type": "string"
-                      }
-                  },
-                  {
-                      "name": "flowId",
-                      "in": "query",
-                      "schema": {
-                          "type": "string"
-                      }
-                  }
-              ],
-              "requestBody": {
-                  "content": {
-                      "application/json": {
-                          "schema": {
-                              "$ref": "#/components/schemas/RetrieveToolFuncResultRequest"
-                          }
-                      }
-                  }
-              },
-              "responses": {
-                  "200": {
-                      "description": "Success",
-                      "content": {
-                          "application/json": {
-                              "schema": {
-                                  "$ref": "#/components/schemas/ToolFuncResponse"
-                              }
-                          }
-                      }
-                  },
-                  "default": {
-                      "description": "Error response describing why the operation failed.",
-                      "content": {
-                          "application/json": {
-                              "schema": {
-                                  "$ref": "#/components/schemas/ErrorResponse"
-                              }
-                          }
-                      }
-                  }
-              }
-          }
-      },
-      "/flow/api/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/TraceSessions/initialize": {
-          "post": {
-              "tags": [
-                  "TraceSessions"
-              ],
-              "operationId": "TraceSessions_InitTraceSessionAsync",
-              "parameters": [
-                  {
-                      "$ref": "#/components/parameters/subscriptionIdParameter"
-                  },
-                  {
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-                      "nullable": true
-                  },
-                  "weightColumnName": {
-                      "type": "string",
-                      "nullable": true
-                  },
-                  "positiveLabel": {
-                      "type": "string",
-                      "nullable": true
-                  },
-                  "validationData": {
-                      "$ref": "#/components/schemas/AetherValidationDataSettings"
-                  },
-                  "testData": {
-                      "$ref": "#/components/schemas/AetherTestDataSettings"
-                  }
-              },
-              "additionalProperties": false
-          },
-          "AetherDataStoreMode": {
-              "enum": [
-                  "None",
-                  "Mount",
-                  "Download",
-                  "Upload",
-                  "Direct",
-                  "Hdfs",
-                  "Link"
-              ],
-              "type": "string"
-          },
-          "AetherDataTransferCloudConfiguration": {
-              "type": "object",
-              "properties": {
-                  "AllowOverwrite": {
-                      "type": "boolean",
-                      "nullable": true
-                  }
-              },
-              "additionalProperties": false
-          },
-          "AetherDataTransferSink": {
-              "type": "object",
-              "properties": {
-                  "type": {
-                      "$ref": "#/components/schemas/AetherDataTransferStorageType"
-                  },
-                  "fileSystem": {
-                      "$ref": "#/components/schemas/AetherFileSystem"
-                  },
-                  "databaseSink": {
-                      "$ref": "#/components/schemas/AetherDatabaseSink"
-                  }
-              },
-              "additionalProperties": false
-          },
-          "AetherDataTransferSource": {
-              "type": "object",
-              "properties": {
-                  "type": {
-                      "$ref": "#/components/schemas/AetherDataTransferStorageType"
-                  },
-                  "fileSystem": {
-                      "$ref": "#/components/schemas/AetherFileSystem"
-                  },
-                  "databaseSource": {
-                      "$ref": "#/components/schemas/AetherDatabaseSource"
-                  }
-              },
-              "additionalProperties": false
-          },
-          "AetherDataTransferStorageType": {
-              "enum": [
-                  "DataBase",
-                  "FileSystem"
-              ],
-              "type": "string"
-          },
-          "AetherDataTransferTaskType": {
-              "enum": [
-                  "ImportData",
-                  "ExportData",
-                  "CopyData"
-              ],
-              "type": "string"
-          },
-          "AetherDataTransferV2CloudSetting": {
-              "type": "object",
-              "properties": {
-                  "taskType": {
-                      "$ref": "#/components/schemas/AetherDataTransferTaskType"
-                  },
-                  "ComputeName": {
-                      "type": "string",
-                      "nullable": true
-                  },
-                  "CopyDataTask": {
-                      "$ref": "#/components/schemas/AetherCopyDataTask"
-                  },
-                  "ImportDataTask": {
-                      "$ref": "#/components/schemas/AetherImportDataTask"
-                  },
-                  "ExportDataTask": {
-                      "$ref": "#/components/schemas/AetherExportDataTask"
-                  },
-                  "DataTransferSources": {
-                      "type": "object",
-                      "additionalProperties": {
-                          "$ref": "#/components/schemas/AetherDataTransferSource"
-                      },
-                      "description": "This is a dictionary",
-                      "nullable": true
-                  },
-                  "DataTransferSinks": {
-                      "type": "object",
-                      "additionalProperties": {
-                          "$ref": "#/components/schemas/AetherDataTransferSink"
-                      },
-                      "description": "This is a dictionary",
-                      "nullable": true
-                  },
-                  "DataCopyMode": {
-                      "$ref": "#/components/schemas/AetherDataCopyMode"
-                  }
-              },
-              "additionalProperties": false
-          },
-          "AetherDatabaseSink": {
-              "type": "object",
-              "properties": {
-                  "connection": {
-                      "type": "string",
-                      "nullable": true
-                  },
-                  "table": {
-                      "type": "string",
-                      "nullable": true
-                  }
-              },
-              "additionalProperties": false
-          },
-          "AetherDatabaseSource": {
-              "type": "object",
-              "properties": {
-                  "connection": {
-                      "type": "string",
-                      "nullable": true
-                  },
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-                      "type": "string",
-                      "nullable": true
-                  },
-                  "storedProcedureName": {
-                      "type": "string",
-                      "nullable": true
-                  },
-                  "storedProcedureParameters": {
-                      "type": "array",
-                      "items": {
-                          "$ref": "#/components/schemas/AetherStoredProcedureParameter"
-                      },
-                      "nullable": true
-                  }
-              },
-              "additionalProperties": false
-          },
-          "AetherDatabricksComputeInfo": {
-              "type": "object",
-              "properties": {
-                  "existingClusterId": {
-                      "type": "string",
-                      "nullable": true
-                  }
-              },
-              "additionalProperties": false
-          },
-          "AetherDatasetOutput": {
-              "type": "object",
-              "properties": {
-                  "datasetType": {
-                      "$ref": "#/components/schemas/AetherDatasetType"
-                  },
-                  "datasetRegistration": {
-                      "$ref": "#/components/schemas/AetherDatasetRegistration"
-                  },
-                  "datasetOutputOptions": {
-                      "$ref": "#/components/schemas/AetherDatasetOutputOptions"
-                  }
-              },
-              "additionalProperties": false
-          },
-          "AetherDatasetOutputOptions": {
-              "type": "object",
-              "properties": {
-                  "sourceGlobs": {
-                      "$ref": "#/components/schemas/AetherGlobsOptions"
-                  },
-                  "pathOnDatastore": {
-                      "type": "string",
-                      "nullable": true
-                  },
-                  "PathOnDatastoreParameterAssignment": {
-                      "$ref": "#/components/schemas/AetherParameterAssignment"
-                  }
-              },
-              "additionalProperties": false
-          },
-          "AetherDatasetRegistration": {
-              "type": "object",
-              "properties": {
-                  "name": {
-                      "type": "string",
-                      "nullable": true
-                  },
-                  "createNewVersion": {
-                      "type": "boolean"
-                  },
-                  "description": {
-                      "type": "string",
-                      "nullable": true
-                  },
-                  "tags": {
-                      "type": "object",
-                      "additionalProperties": {
-                          "type": "string",
-                          "nullable": true
-                      },
-                      "nullable": true
-                  },
-                  "additionalTransformations": {
-                      "type": "string",
-                      "nullable": true
-                  }
-              },
-              "additionalProperties": false
-          },
-          "AetherDatasetType": {
-              "enum": [
-                  "File",
-                  "Tabular"
-              ],
-              "type": "string"
-          },
-          "AetherDatastoreSetting": {
-              "type": "object",
-              "properties": {
-                  "dataStoreName": {
-                      "type": "string",
-                      "nullable": true
-                  }
-              },
-              "additionalProperties": false
-          },
-          "AetherDoWhileControlFlowInfo": {
-              "type": "object",
-              "properties": {
-                  "outputPortNameToInputPortNamesMapping": {
-                      "type": "object",
-                      "additionalProperties": {
-                          "type": "array",
-                          "items": {
-                              "type": "string"
-                          },
-                          "nullable": true
-                      },
-                      "nullable": true
-                  },
-                  "conditionOutputPortName": {
-                      "type": "string",
-                      "nullable": true
-                  },
-                  "runSettings": {
-                      "$ref": "#/components/schemas/AetherDoWhileControlFlowRunSettings"
-                  }
-              },
-              "additionalProperties": false
-          },
-          "AetherDoWhileControlFlowRunSettings": {
-              "type": "object",
-              "properties": {
-                  "maxLoopIterationCount": {
-                      "$ref": "#/components/schemas/AetherParameterAssignment"
-                  }
-              },
-              "additionalProperties": false
-          },
-          "AetherDockerSettingConfiguration": {
-              "type": "object",
-              "properties": {
-                  "useDocker": {
-                      "type": "boolean",
-                      "nullable": true
-                  },
-                  "sharedVolumes": {
-                      "type": "boolean",
-                      "nullable": true
-                  },
-                  "shmSize": {
-                      "type": "string",
-                      "nullable": true
-                  },
-                  "arguments": {
-                      "type": "array",
-                      "items": {
-                          "type": "string"
-                      },
-                      "nullable": true
-                  }
-              },
-              "additionalProperties": false
-          },
-          "AetherEarlyTerminationPolicyType": {
-              "enum": [
-                  "Bandit",
-                  "MedianStopping",
-                  "TruncationSelection"
-              ],
-              "type": "string"
-          },
-          "AetherEntityInterfaceDocumentation": {
-              "type": "object",
-              "properties": {
-                  "inputsDocumentation": {
-                      "type": "object",
-                      "additionalProperties": {
-                          "type": "string",
-                          "nullable": true
-                      },
-                      "nullable": true
-                  },
-                  "outputsDocumentation": {
-                      "type": "object",
-                      "additionalProperties": {
-                          "type": "string",
-                          "nullable": true
-                      },
-                      "nullable": true
-                  },
-                  "parametersDocumentation": {
-                      "type": "object",
-                      "additionalProperties": {
-                          "type": "string",
-                          "nullable": true
-                      },
-                      "nullable": true
-                  }
-              },
-              "additionalProperties": false
-          },
-          "AetherEntityStatus": {
-              "enum": [
-                  "Active",
-                  "Deprecated",
-                  "Disabled"
-              ],
-              "type": "string"
-          },
-          "AetherEntrySetting": {
-              "type": "object",
-              "properties": {
-                  "file": {
-                      "type": "string",
-                      "nullable": true
-                  },
-                  "className": {
-                      "type": "string",
-                      "nullable": true
-                  }
-              },
-              "additionalProperties": false
-          },
-          "AetherEnvironmentConfiguration": {
-              "type": "object",
-              "properties": {
-                  "name": {
-                      "type": "string",
-                      "nullable": true
-                  },
-                  "version": {
-                      "type": "string",
-                      "nullable": true
-                  },
-                  "useEnvironmentDefinition": {
-                      "type": "boolean"
-                  },
-                  "environmentDefinitionString": {
-                      "type": "string",
-                      "nullable": true
-                  }
-              },
-              "additionalProperties": false
-          },
-          "AetherEsCloudConfiguration": {
-              "type": "object",
-              "properties": {
-                  "enableOutputToFileBasedOnDataTypeId": {
-                      "type": "boolean",
-                      "nullable": true
-                  },
-                  "amlComputePriorityInternal": {
-                      "$ref": "#/components/schemas/AetherPriorityConfiguration"
-                  },
-                  "itpPriorityInternal": {
-                      "$ref": "#/components/schemas/AetherPriorityConfiguration"
-                  },
-                  "singularityPriorityInternal": {
-                      "$ref": "#/components/schemas/AetherPriorityConfiguration"
-                  },
-                  "environment": {
-                      "$ref": "#/components/schemas/AetherEnvironmentConfiguration"
-                  },
-                  "hyperDriveConfiguration": {
-                      "$ref": "#/components/schemas/AetherHyperDriveConfiguration"
-                  },
-                  "k8sConfig": {
-                      "$ref": "#/components/schemas/AetherK8sConfiguration"
-                  },
-                  "resourceConfig": {
-                      "$ref": "#/components/schemas/AetherResourceConfiguration"
-                  },
-                  "torchDistributedConfig": {
-                      "$ref": "#/components/schemas/AetherTorchDistributedConfiguration"
-                  },
-                  "targetSelectorConfig": {
-                      "$ref": "#/components/schemas/AetherTargetSelectorConfiguration"
-                  },
-                  "dockerConfig": {
-                      "$ref": "#/components/schemas/AetherDockerSettingConfiguration"
-                  },
-                  "environmentVariables": {
-                      "type": "object",
-                      "additionalProperties": {
-                          "type": "string",
-                          "nullable": true
-                      },
-                      "nullable": true
-                  },
-                  "maxRunDurationSeconds": {
-                      "type": "integer",
-                      "format": "int32",
-                      "nullable": true
-                  },
-                  "identity": {
-                      "$ref": "#/components/schemas/AetherIdentitySetting"
-                  },
-                  "applicationEndpoints": {
-                      "type": "object",
-                      "additionalProperties": {
-                          "$ref": "#/components/schemas/ApplicationEndpointConfiguration"
-                      },
-                      "nullable": true
-                  },
-                  "runConfig": {
-                      "type": "string",
-                      "nullable": true
-                  }
-              },
-              "additionalProperties": false
-          },
-          "AetherExecutionEnvironment": {
-              "enum": [
-                  "ExeWorkerMachine",
-                  "DockerContainerWithoutNetwork",
-                  "DockerContainerWithNetwork",
-                  "HyperVWithoutNetwork",
-                  "HyperVWithNetwork"
-              ],
-              "type": "string"
-          },
-          "AetherExecutionPhase": {
-              "enum": [
-                  "Execution",
-                  "Initialization",
-                  "Finalization"
-              ],
-              "type": "string"
-          },
-          "AetherExportDataTask": {
-              "type": "object",
-              "properties": {
-                  "DataTransferSink": {
-                      "$ref": "#/components/schemas/AetherDataTransferSink"
-                  }
-              },
-              "additionalProperties": false
-          },
-          "AetherFeaturizationMode": {
-              "enum": [
-                  "Auto",
-                  "Custom",
-                  "Off"
-              ],
-              "type": "string"
-          },
-          "AetherFeaturizationSettings": {
-              "type": "object",
-              "properties": {
-                  "mode": {
-                      "$ref": "#/components/schemas/AetherFeaturizationMode"
-                  },
-                  "blockedTransformers": {
-                      "type": "array",
-                      "items": {
-                          "type": "string"
-                      },
-                      "nullable": true
-                  },
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-                      "type": "object",
-                      "additionalProperties": {
-                          "type": "string",
-                          "nullable": true
-                      },
-                      "nullable": true
-                  },
-                  "dropColumns": {
-                      "type": "array",
-                      "items": {
-                          "type": "string"
-                      },
-                      "nullable": true
-                  },
-                  "transformerParams": {
-                      "type": "object",
-                      "additionalProperties": {
-                          "type": "array",
-                          "items": {
-                              "$ref": "#/components/schemas/AetherColumnTransformer"
-                          },
-                          "nullable": true
-                      },
-                      "nullable": true
-                  },
-                  "datasetLanguage": {
-                      "type": "string",
-                      "nullable": true
-                  },
-                  "enableDnnFeaturization": {
-                      "type": "boolean",
-                      "nullable": true
-                  }
-              },
-              "additionalProperties": false
-          },
-          "AetherFileBasedPathType": {
-              "enum": [
-                  "Unknown",
-                  "File",
-                  "Folder"
-              ],
-              "type": "string"
-          },
-          "AetherFileSystem": {
-              "type": "object",
-              "properties": {
-                  "connection": {
-                      "type": "string",
-                      "nullable": true
-                  },
-                  "path": {
-                      "type": "string",
-                      "nullable": true
-                  }
-              },
-              "additionalProperties": false
-          },
-          "AetherForecastHorizon": {
-              "type": "object",
-              "properties": {
-                  "mode": {
-                      "$ref": "#/components/schemas/AetherForecastHorizonMode"
-                  },
-                  "value": {
-                      "type": "integer",
-                      "format": "int32"
-                  }
-              },
-              "additionalProperties": false
-          },
-          "AetherForecastHorizonMode": {
-              "enum": [
-                  "Auto",
-                  "Custom"
-              ],
-              "type": "string"
-          },
-          "AetherForecastingSettings": {
-              "type": "object",
-              "properties": {
-                  "countryOrRegionForHolidays": {
-                      "type": "string",
-                      "nullable": true
-                  },
-                  "timeColumnName": {
-                      "type": "string",
-                      "nullable": true
-                  },
-                  "targetLags": {
-                      "$ref": "#/components/schemas/AetherTargetLags"
-                  },
-                  "targetRollingWindowSize": {
-                      "$ref": "#/components/schemas/AetherTargetRollingWindowSize"
-                  },
-                  "forecastHorizon": {
-                      "$ref": "#/components/schemas/AetherForecastHorizon"
-                  },
-                  "timeSeriesIdColumnNames": {
-                      "type": "array",
-                      "items": {
-                          "type": "string"
-                      },
-                      "nullable": true
-                  },
-                  "frequency": {
-                      "type": "string",
-                      "nullable": true
-                  },
-                  "featureLags": {
-                      "type": "string",
-                      "nullable": true
-                  },
-                  "seasonality": {
-                      "$ref": "#/components/schemas/AetherSeasonality"
-                  },
-                  "shortSeriesHandlingConfig": {
-                      "$ref": "#/components/schemas/AetherShortSeriesHandlingConfiguration"
-                  },
-                  "useStl": {
-                      "$ref": "#/components/schemas/AetherUseStl"
-                  },
-                  "targetAggregateFunction": {
-                      "$ref": "#/components/schemas/AetherTargetAggregationFunction"
-                  },
-                  "cvStepSize": {
-                      "type": "integer",
-                      "format": "int32",
-                      "nullable": true
-                  },
-                  "featuresUnknownAtForecastTime": {
-                      "type": "array",
-                      "items": {
-                          "type": "string"
-                      },
-                      "nullable": true
-                  }
-              },
-              "additionalProperties": false
-          },
-          "AetherGeneralSettings": {
-              "type": "object",
-              "properties": {
-                  "primaryMetric": {
-                      "$ref": "#/components/schemas/AetherPrimaryMetrics"
-                  },
-                  "taskType": {
-                      "$ref": "#/components/schemas/AetherTaskType"
-                  },
-                  "logVerbosity": {
-                      "$ref": "#/components/schemas/AetherLogVerbosity"
-                  }
-              },
-              "additionalProperties": false
-          },
-          "AetherGlobsOptions": {
-              "type": "object",
-              "properties": {
-                  "globPatterns": {
-                      "type": "array",
-                      "items": {
-                          "type": "string"
-                      },
-                      "nullable": true
-                  }
-              },
-              "additionalProperties": false
-          },
-          "AetherGraphControlNode": {
-              "type": "object",
-              "properties": {
-                  "id": {
-                      "type": "string",
-                      "nullable": true
-                  },
-                  "controlType": {
-                      "$ref": "#/components/schemas/AetherControlType"
-                  },
-                  "controlParameter": {
-                      "$ref": "#/components/schemas/AetherParameterAssignment"
-                  },
-                  "runAttribution": {
-                      "type": "string",
-                      "nullable": true
-                  }
-              },
-              "additionalProperties": false
-          },
-          "AetherGraphControlReferenceNode": {
-              "type": "object",
-              "properties": {
-                  "id": {
-                      "type": "string",
-                      "nullable": true
-                  },
-                  "name": {
-                      "type": "string",
-                      "nullable": true
-                  },
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-                      "type": "string",
-                      "nullable": true
-                  },
-                  "controlFlowType": {
-                      "$ref": "#/components/schemas/AetherControlFlowType"
-                  },
-                  "referenceNodeId": {
-                      "type": "string",
-                      "nullable": true
-                  },
-                  "doWhileControlFlowInfo": {
-                      "$ref": "#/components/schemas/AetherDoWhileControlFlowInfo"
-                  },
-                  "parallelForControlFlowInfo": {
-                      "$ref": "#/components/schemas/AetherParallelForControlFlowInfo"
-                  },
-                  "runAttribution": {
-                      "type": "string",
-                      "nullable": true
-                  }
-              },
-              "additionalProperties": false
-          },
-          "AetherGraphDatasetNode": {
-              "type": "object",
-              "properties": {
-                  "id": {
-                      "type": "string",
-                      "nullable": true
-                  },
-                  "datasetId": {
-                      "type": "string",
-                      "nullable": true
-                  },
-                  "dataPathParameterName": {
-                      "type": "string",
-                      "nullable": true
-                  },
-                  "dataSetDefinition": {
-                      "$ref": "#/components/schemas/AetherDataSetDefinition"
-                  }
-              },
-              "additionalProperties": false
-          },
-          "AetherGraphEdge": {
-              "type": "object",
-              "properties": {
-                  "sourceOutputPort": {
-                      "$ref": "#/components/schemas/AetherPortInfo"
-                  },
-                  "destinationInputPort": {
-                      "$ref": "#/components/schemas/AetherPortInfo"
-                  }
-              },
-              "additionalProperties": false
-          },
-          "AetherGraphEntity": {
-              "type": "object",
-              "properties": {
-                  "moduleNodes": {
-                      "type": "array",
-                      "items": {
-                          "$ref": "#/components/schemas/AetherGraphModuleNode"
-                      },
-                      "nullable": true
-                  },
-                  "datasetNodes": {
-                      "type": "array",
-                      "items": {
-                          "$ref": "#/components/schemas/AetherGraphDatasetNode"
-                      },
-                      "nullable": true
-                  },
-                  "subGraphNodes": {
-                      "type": "array",
-                      "items": {
-                          "$ref": "#/components/schemas/AetherGraphReferenceNode"
-                      },
-                      "nullable": true
-                  },
-                  "controlReferenceNodes": {
-                      "type": "array",
-                      "items": {
-                          "$ref": "#/components/schemas/AetherGraphControlReferenceNode"
-                      },
-                      "nullable": true
-                  },
-                  "controlNodes": {
-                      "type": "array",
-                      "items": {
-                          "$ref": "#/components/schemas/AetherGraphControlNode"
-                      },
-                      "nullable": true
-                  },
-                  "edges": {
-                      "type": "array",
-                      "items": {
-                          "$ref": "#/components/schemas/AetherGraphEdge"
-                      },
-                      "nullable": true
-                  },
-                  "defaultCompute": {
-                      "$ref": "#/components/schemas/AetherComputeSetting"
-                  },
-                  "defaultDatastore": {
-                      "$ref": "#/components/schemas/AetherDatastoreSetting"
-                  },
-                  "defaultCloudPriority": {
-                      "$ref": "#/components/schemas/AetherCloudPrioritySetting"
-                  },
-                  "parentSubGraphModuleIds": {
-                      "type": "array",
-                      "items": {
-                          "type": "string"
-                      },
-                      "nullable": true
-                  },
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-                      "type": "string",
-                      "nullable": true
-                  },
-                  "workspaceId": {
-                      "type": "string",
-                      "nullable": true
-                  },
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-                      "type": "string",
-                      "nullable": true
-                  },
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-                          "type": "string"
-                      },
-                      "nullable": true
-                  },
-                  "createdDate": {
-                      "type": "string",
-                      "format": "date-time"
-                  },
-                  "lastModifiedDate": {
-                      "type": "string",
-                      "format": "date-time"
-                  },
-                  "entityStatus": {
-                      "$ref": "#/components/schemas/AetherEntityStatus"
-                  }
-              },
-              "additionalProperties": false
-          },
-          "AetherGraphModuleNode": {
-              "type": "object",
-              "properties": {
-                  "cloudPriority": {
-                      "type": "integer",
-                      "format": "int32"
-                  },
-                  "defaultDataRetentionHint": {
-                      "type": "integer",
-                      "format": "int32",
-                      "nullable": true
-                  },
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-                      "type": "string",
-                      "nullable": true
-                  },
-                  "euclidWorkspaceId": {
-                      "type": "string",
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-                  },
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-                      "type": "array",
-                      "items": {
-                          "type": "string"
-                      },
-                      "nullable": true
-                  },
-                  "acceptableMachineClusters": {
-                      "type": "array",
-                      "items": {
-                          "type": "string"
-                      },
-                      "nullable": true
-                  },
-                  "customDataLocationId": {
-                      "type": "string",
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-                      "nullable": true
-                  },
-                  "documentation": {
-                      "type": "string",
-                      "nullable": true
-                  },
-                  "dataTypesIds": {
-                      "type": "array",
-                      "items": {
-                          "type": "string"
-                      },
-                      "nullable": true
-                  },
-                  "isOptional": {
-                      "type": "boolean"
-                  }
-              },
-              "additionalProperties": false
-          },
-          "NodeLayout": {
-              "type": "object",
-              "properties": {
-                  "x": {
-                      "type": "number",
-                      "format": "float"
-                  },
-                  "y": {
-                      "type": "number",
-                      "format": "float"
-                  },
-                  "width": {
-                      "type": "number",
-                      "format": "float"
-                  },
-                  "height": {
-                      "type": "number",
-                      "format": "float"
-                  },
-                  "extendedData": {
-                      "type": "string",
-                      "nullable": true
-                  }
-              },
-              "additionalProperties": false
-          },
-          "NodeOutputPort": {
-              "type": "object",
-              "properties": {
-                  "name": {
-                      "type": "string",
-                      "nullable": true
-                  },
-                  "documentation": {
-                      "type": "string",
-                      "nullable": true
-                  },
-                  "dataTypeId": {
-                      "type": "string",
-                      "nullable": true
-                  },
-                  "passThroughInputName": {
-                      "type": "string",
-                      "nullable": true
-                  },
-                  "EarlyAvailable": {
-                      "type": "boolean"
-                  },
-                  "dataStoreMode": {
-                      "$ref": "#/components/schemas/AEVADataStoreMode"
-                  }
-              },
-              "additionalProperties": false
-          },
-          "NodePortInterface": {
-              "type": "object",
-              "properties": {
-                  "inputs": {
-                      "type": "array",
-                      "items": {
-                          "$ref": "#/components/schemas/NodeInputPort"
-                      },
-                      "nullable": true
-                  },
-                  "outputs": {
-                      "type": "array",
-                      "items": {
-                          "$ref": "#/components/schemas/NodeOutputPort"
-                      },
-                      "nullable": true
-                  },
-                  "controlOutputs": {
-                      "type": "array",
-                      "items": {
-                          "$ref": "#/components/schemas/ControlOutput"
-                      },
-                      "nullable": true
-                  }
-              },
-              "additionalProperties": false
-          },
-          "NodeSource": {
-              "type": "object",
-              "properties": {
-                  "type": {
-                      "type": "string",
-                      "nullable": true
-                  },
-                  "tool": {
-                      "type": "string",
-                      "nullable": true
-                  },
-                  "path": {
-                      "type": "string",
-                      "nullable": true
-                  }
-              },
-              "additionalProperties": false
-          },
-          "NodeTelemetryMetaInfo": {
-              "type": "object",
-              "properties": {
-                  "pipelineRunId": {
-                      "type": "string",
-                      "nullable": true
-                  },
-                  "nodeId": {
-                      "type": "string",
-                      "nullable": true
-                  },
-                  "versionId": {
-                      "type": "string",
-                      "nullable": true
-                  },
-                  "nodeType": {
-                      "type": "string",
-                      "nullable": true
-                  },
-                  "nodeSource": {
-                      "type": "string",
-                      "nullable": true
-                  },
-                  "isAnonymous": {
-                      "type": "boolean"
-                  },
-                  "isPipelineComponent": {
-                      "type": "boolean"
-                  }
-              },
-              "additionalProperties": false
-          },
-          "NodeVariant": {
-              "type": "object",
-              "properties": {
-                  "variants": {
-                      "type": "object",
-                      "additionalProperties": {
-                          "$ref": "#/components/schemas/VariantNode"
-                      },
-                      "description": "This is a dictionary",
-                      "nullable": true
-                  },
-                  "defaultVariantId": {
-                      "type": "string",
-                      "nullable": true
-                  }
-              },
-              "additionalProperties": false
-          },
-          "Nodes": {
-              "required": [
-                  "nodes_value_type"
-              ],
-              "type": "object",
-              "properties": {
-                  "nodes_value_type": {
-                      "$ref": "#/components/schemas/NodesValueType"
-                  },
-                  "values": {
-                      "type": "array",
-                      "items": {
-                          "type": "integer",
-                          "format": "int32"
-                      },
-                      "nullable": true
-                  }
-              },
-              "additionalProperties": false
-          },
-          "NodesValueType": {
-              "enum": [
-                  "All",
-                  "Custom"
-              ],
-              "type": "string"
-          },
-          "NoteBookTaskDto": {
-              "type": "object",
-              "properties": {
-                  "notebook_path": {
-                      "type": "string",
-                      "nullable": true
-                  },
-                  "base_parameters": {
-                      "type": "object",
-                      "additionalProperties": {
-                          "type": "string",
-                          "nullable": true
-                      },
-                      "nullable": true
-                  }
-              },
-              "additionalProperties": false
-          },
-          "NotificationSetting": {
-              "type": "object",
-              "properties": {
-                  "emails": {
-                      "type": "array",
-                      "items": {
-                          "type": "string"
-                      },
-                      "nullable": true
-                  },
-                  "emailOn": {
-                      "type": "array",
-                      "items": {
-                          "$ref": "#/components/schemas/EmailNotificationEnableType"
-                      },
-                      "nullable": true
-                  },
-                  "webhooks": {
-                      "type": "object",
-                      "additionalProperties": {
-                          "$ref": "#/components/schemas/Webhook"
-                      },
-                      "nullable": true
-                  }
-              },
-              "additionalProperties": false
-          },
-          "ODataError": {
-              "type": "object",
-              "properties": {
-                  "code": {
-                      "type": "string",
-                      "description": "Gets or sets a language-independent, service-defined error code.\r\nThis code serves as a sub-status for the HTTP error code specified\r\nin the response.",
-                      "nullable": true
-                  },
-                  "message": {
-                      "type": "string",
-                      "description": "Gets or sets a human-readable, language-dependent representation of the error.\r\nThe `Content-Language` header MUST contain the language code from [RFC5646]\r\ncorresponding to the language in which the value for message is written.",
-                      "nullable": true
-                  },
-                  "target": {
-                      "type": "string",
-                      "description": "Gets or sets the target of the particular error\r\n(for example, the name of the property in error).",
-                      "nullable": true
-                  },
-                  "details": {
-                      "type": "array",
-                      "items": {
-                          "$ref": "#/components/schemas/ODataErrorDetail"
-                      },
-                      "description": "Gets or sets additional details about the error.",
-                      "nullable": true
-                  },
-                  "innererror": {
-                      "$ref": "#/components/schemas/ODataInnerError"
-                  }
-              },
-              "additionalProperties": false,
-              "description": "Represents OData v4 error object."
-          },
-          "ODataErrorDetail": {
-              "type": "object",
-              "properties": {
-                  "code": {
-                      "type": "string",
-                      "description": "Gets or sets a language-independent, service-defined error code.",
-                      "nullable": true
-                  },
-                  "message": {
-                      "type": "string",
-                      "description": "Gets or sets a human-readable, language-dependent representation of the error.",
-                      "nullable": true
-                  },
-                  "target": {
-                      "type": "string",
-                      "description": "Gets or sets the target of the particular error\r\n(for example, the name of the property in error).",
-                      "nullable": true
-                  }
-              },
-              "additionalProperties": false,
-              "description": "Represents additional error details."
-          },
-          "ODataErrorResponse": {
-              "type": "object",
-              "properties": {
-                  "error": {
-                      "$ref": "#/components/schemas/ODataError"
-                  }
-              },
-              "additionalProperties": false,
-              "description": "Represents OData v4 compliant error response message."
-          },
-          "ODataInnerError": {
-              "type": "object",
-              "properties": {
-                  "clientRequestId": {
-                      "type": "string",
-                      "description": "Gets or sets the client provided request ID.",
-                      "nullable": true
-                  },
-                  "serviceRequestId": {
-                      "type": "string",
-                      "description": "Gets or sets the server generated request ID.",
-                      "nullable": true
-                  },
-                  "trace": {
-                      "type": "string",
-                      "description": "Gets or sets the exception stack trace.\r\nDO NOT INCLUDE IT IN PRODUCTION ENVIRONMENT.",
-                      "nullable": true
-                  },
-                  "context": {
-                      "type": "string",
-                      "description": "Gets or sets additional context for the exception.\r\nDO NOT INCLUDE IT IN PRODUCTION ENVIRONMENT.",
-                      "nullable": true
-                  }
-              },
-              "additionalProperties": false,
-              "description": "The contents of this object are service-defined.\r\nUsually this object contains information that will help debug the service\r\nand SHOULD only be used in development environments in order to guard\r\nagainst potential security concerns around information disclosure."
-          },
-          "Orientation": {
-              "enum": [
-                  "Horizontal",
-                  "Vertical"
-              ],
-              "type": "string"
-          },
-          "OutputData": {
-              "type": "object",
-              "properties": {
-                  "outputLocation": {
-                      "$ref": "#/components/schemas/ExecutionDataLocation"
-                  },
-                  "mechanism": {
-                      "$ref": "#/components/schemas/OutputMechanism"
-                  },
-                  "additionalOptions": {
-                      "$ref": "#/components/schemas/OutputOptions"
-                  },
-                  "environmentVariableName": {
-                      "type": "string",
-                      "nullable": true
-                  }
-              },
-              "additionalProperties": false
-          },
-          "OutputDataBinding": {
-              "type": "object",
-              "properties": {
-                  "datastoreId": {
-                      "type": "string",
-                      "nullable": true
-                  },
-                  "pathOnDatastore": {
-                      "type": "string",
-                      "nullable": true
-                  },
-                  "pathOnCompute": {
-                      "type": "string",
-                      "nullable": true
-                  },
-                  "description": {
-                      "type": "string",
-                      "nullable": true
-                  },
-                  "uri": {
-                      "$ref": "#/components/schemas/MfeInternalUriReference"
-                  },
-                  "mode": {
-                      "$ref": "#/components/schemas/DataBindingMode"
-                  },
-                  "assetUri": {
-                      "type": "string",
-                      "nullable": true
-                  },
-                  "isAssetJobOutput": {
-                      "type": "boolean",
-                      "nullable": true
-                  },
-                  "jobOutputType": {
-                      "$ref": "#/components/schemas/JobOutputType"
-                  },
-                  "assetName": {
-                      "type": "string",
-                      "nullable": true
-                  },
-                  "assetVersion": {
-                      "type": "string",
-                      "nullable": true
-                  },
-                  "autoDeleteSetting": {
-                      "$ref": "#/components/schemas/AutoDeleteSetting"
-                  }
-              },
-              "additionalProperties": false
-          },
-          "OutputDatasetLineage": {
-              "type": "object",
-              "properties": {
-                  "identifier": {
-                      "$ref": "#/components/schemas/DatasetIdentifier"
-                  },
-                  "outputType": {
-                      "$ref": "#/components/schemas/DatasetOutputType"
-                  },
-                  "outputDetails": {
-                      "$ref": "#/components/schemas/DatasetOutputDetails"
-                  }
-              },
-              "additionalProperties": false
-          },
-          "OutputDefinition": {
-              "type": "object",
-              "properties": {
-                  "name": {
-                      "type": "string",
-                      "nullable": true
-                  },
-                  "type": {
-                      "type": "array",
-                      "items": {
-                          "$ref": "#/components/schemas/ValueType"
-                      },
-                      "nullable": true
-                  },
-                  "description": {
-                      "type": "string",
-                      "nullable": true
-                  },
-                  "isProperty": {
-                      "type": "boolean"
-                  }
-              },
-              "additionalProperties": false
-          },
-          "OutputMechanism": {
-              "enum": [
-                  "Upload",
-                  "Mount",
-                  "Hdfs",
-                  "Link",
-                  "Direct"
-              ],
-              "type": "string"
-          },
-          "OutputOptions": {
-              "type": "object",
-              "properties": {
-                  "pathOnCompute": {
-                      "type": "string",
-                      "nullable": true
-                  },
-                  "registrationOptions": {
-                      "$ref": "#/components/schemas/RegistrationOptions"
-                  },
-                  "uploadOptions": {
-                      "$ref": "#/components/schemas/UploadOptions"
-                  },
-                  "mountOptions": {
-                      "type": "object",
-                      "additionalProperties": {
-                          "type": "string",
-                          "nullable": true
-                      },
-                      "nullable": true
-                  }
-              },
-              "additionalProperties": false
-          },
-          "OutputSetting": {
-              "type": "object",
-              "properties": {
-                  "name": {
-                      "type": "string",
-                      "nullable": true
-                  },
-                  "dataStoreName": {
-                      "type": "string",
-                      "nullable": true
-                  },
-                  "DataStoreNameParameterAssignment": {
-                      "$ref": "#/components/schemas/ParameterAssignment"
-                  },
-                  "dataStoreMode": {
-                      "$ref": "#/components/schemas/AEVADataStoreMode"
-                  },
-                  "DataStoreModeParameterAssignment": {
-                      "$ref": "#/components/schemas/ParameterAssignment"
-                  },
-                  "pathOnCompute": {
-                      "type": "string",
-                      "nullable": true
-                  },
-                  "PathOnComputeParameterAssignment": {
-                      "$ref": "#/components/schemas/ParameterAssignment"
-                  },
-                  "overwrite": {
-                      "type": "boolean"
-                  },
-                  "dataReferenceName": {
-                      "type": "string",
-                      "nullable": true
-                  },
-                  "webServicePort": {
-                      "type": "string",
-                      "nullable": true
-                  },
-                  "datasetRegistration": {
-                      "$ref": "#/components/schemas/DatasetRegistration"
-                  },
-                  "datasetOutputOptions": {
-                      "$ref": "#/components/schemas/DatasetOutputOptions"
-                  },
-                  "AssetOutputSettings": {
-                      "$ref": "#/components/schemas/AssetOutputSettings"
-                  },
-                  "parameterName": {
-                      "type": "string",
-                      "nullable": true
-                  },
-                  "AssetOutputSettingsParameterName": {
-                      "type": "string",
-                      "nullable": true
-                  }
-              },
-              "additionalProperties": false
-          },
-          "OutputSettingSpec": {
-              "type": "object",
-              "properties": {
-                  "supportedDataStoreModes": {
-                      "type": "array",
-                      "items": {
-                          "$ref": "#/components/schemas/AEVADataStoreMode"
-                      },
-                      "nullable": true
-                  },
-                  "defaultAssetOutputPath": {
-                      "type": "string",
-                      "nullable": true
-                  }
-              },
-              "additionalProperties": false
-          },
-          "PaginatedDataInfoList": {
-              "type": "object",
-              "properties": {
-                  "value": {
-                      "type": "array",
-                      "items": {
-                          "$ref": "#/components/schemas/DataInfo"
-                      },
-                      "description": "An array of objects of type DataInfo.",
-                      "nullable": true
-                  },
-                  "continuationToken": {
-                      "type": "string",
-                      "description": "The token used in retrieving the next page. If null, there are no additional pages.",
-                      "nullable": true
-                  },
-                  "nextLink": {
-                      "type": "string",
-                      "description": "The link to the next page constructed using the continuationToken.  If null, there are no additional pages.",
-                      "nullable": true
-                  }
-              },
-              "additionalProperties": false,
-              "description": "A paginated list of DataInfos."
-          },
-          "PaginatedModelDtoList": {
-              "type": "object",
-              "properties": {
-                  "value": {
-                      "type": "array",
-                      "items": {
-                          "$ref": "#/components/schemas/ModelDto"
-                      },
-                      "description": "An array of objects of type ModelDto.",
-                      "nullable": true
-                  },
-                  "continuationToken": {
-                      "type": "string",
-                      "description": "The token used in retrieving the next page. If null, there are no additional pages.",
-                      "nullable": true
-                  },
-                  "nextLink": {
-                      "type": "string",
-                      "description": "The link to the next page constructed using the continuationToken.  If null, there are no additional pages.",
-                      "nullable": true
-                  }
-              },
-              "additionalProperties": false,
-              "description": "A paginated list of ModelDtos."
-          },
-          "PaginatedModuleDtoList": {
-              "type": "object",
-              "properties": {
-                  "value": {
-                      "type": "array",
-                      "items": {
-                          "$ref": "#/components/schemas/ModuleDto"
-                      },
-                      "description": "An array of objects of type ModuleDto.",
-                      "nullable": true
-                  },
-                  "continuationToken": {
-                      "type": "string",
-                      "description": "The token used in retrieving the next page. If null, there are no additional pages.",
-                      "nullable": true
-                  },
-                  "nextLink": {
-                      "type": "string",
-                      "description": "The link to the next page constructed using the continuationToken.  If null, there are no additional pages.",
-                      "nullable": true
-                  }
-              },
-              "additionalProperties": false,
-              "description": "A paginated list of ModuleDtos."
-          },
-          "PaginatedPipelineDraftSummaryList": {
-              "type": "object",
-              "properties": {
-                  "value": {
-                      "type": "array",
-                      "items": {
-                          "$ref": "#/components/schemas/PipelineDraftSummary"
-                      },
-                      "description": "An array of objects of type PipelineDraftSummary.",
-                      "nullable": true
-                  },
-                  "continuationToken": {
-                      "type": "string",
-                      "description": "The token used in retrieving the next page. If null, there are no additional pages.",
-                      "nullable": true
-                  },
-                  "nextLink": {
-                      "type": "string",
-                      "description": "The link to the next page constructed using the continuationToken.  If null, there are no additional pages.",
-                      "nullable": true
-                  }
-              },
-              "additionalProperties": false,
-              "description": "A paginated list of PipelineDraftSummarys."
-          },
-          "PaginatedPipelineEndpointSummaryList": {
-              "type": "object",
-              "properties": {
-                  "value": {
-                      "type": "array",
-                      "items": {
-                          "$ref": "#/components/schemas/PipelineEndpointSummary"
-                      },
-                      "description": "An array of objects of type PipelineEndpointSummary.",
-                      "nullable": true
-                  },
-                  "continuationToken": {
-                      "type": "string",
-                      "description": "The token used in retrieving the next page. If null, there are no additional pages.",
-                      "nullable": true
-                  },
-                  "nextLink": {
-                      "type": "string",
-                      "description": "The link to the next page constructed using the continuationToken.  If null, there are no additional pages.",
-                      "nullable": true
-                  }
-              },
-              "additionalProperties": false,
-              "description": "A paginated list of PipelineEndpointSummarys."
-          },
-          "PaginatedPipelineRunSummaryList": {
-              "type": "object",
-              "properties": {
-                  "value": {
-                      "type": "array",
-                      "items": {
-                          "$ref": "#/components/schemas/PipelineRunSummary"
-                      },
-                      "description": "An array of objects of type PipelineRunSummary.",
-                      "nullable": true
-                  },
-                  "continuationToken": {
-                      "type": "string",
-                      "description": "The token used in retrieving the next page. If null, there are no additional pages.",
-                      "nullable": true
-                  },
-                  "nextLink": {
-                      "type": "string",
-                      "description": "The link to the next page constructed using the continuationToken.  If null, there are no additional pages.",
-                      "nullable": true
-                  }
-              },
-              "additionalProperties": false,
-              "description": "A paginated list of PipelineRunSummarys."
-          },
-          "PaginatedPublishedPipelineSummaryList": {
-              "type": "object",
-              "properties": {
-                  "value": {
-                      "type": "array",
-                      "items": {
-                          "$ref": "#/components/schemas/PublishedPipelineSummary"
-                      },
-                      "description": "An array of objects of type PublishedPipelineSummary.",
-                      "nullable": true
-                  },
-                  "continuationToken": {
-                      "type": "string",
-                      "description": "The token used in retrieving the next page. If null, there are no additional pages.",
-                      "nullable": true
-                  },
-                  "nextLink": {
-                      "type": "string",
-                      "description": "The link to the next page constructed using the continuationToken.  If null, there are no additional pages.",
-                      "nullable": true
-                  }
-              },
-              "additionalProperties": false,
-              "description": "A paginated list of PublishedPipelineSummarys."
-          },
-          "ParallelForControlFlowInfo": {
-              "type": "object",
-              "properties": {
-                  "parallelForItemsInput": {
-                      "$ref": "#/components/schemas/ParameterAssignment"
-                  }
-              },
-              "additionalProperties": false
-          },
-          "ParallelTaskConfiguration": {
-              "type": "object",
-              "properties": {
-                  "maxRetriesPerWorker": {
-                      "type": "integer",
-                      "format": "int32"
-                  },
-                  "workerCountPerNode": {
-                      "type": "integer",
-                      "format": "int32"
-                  },
-                  "terminalExitCodes": {
-                      "type": "array",
-                      "items": {
-                          "type": "integer",
-                          "format": "int32"
-                      },
-                      "nullable": true
-                  },
-                  "configuration": {
-                      "type": "object",
-                      "additionalProperties": {
-                          "type": "string",
-                          "nullable": true
-                      },
-                      "nullable": true
-                  }
-              },
-              "additionalProperties": false
-          },
-          "Parameter": {
-              "type": "object",
-              "properties": {
-                  "name": {
-                      "type": "string",
-                      "nullable": true
-                  },
-                  "documentation": {
-                      "type": "string",
-                      "nullable": true
-                  },
-                  "defaultValue": {
-                      "type": "string",
-                      "nullable": true
-                  },
-                  "isOptional": {
-                      "type": "boolean"
-                  },
-                  "minMaxRules": {
-                      "type": "array",
-                      "items": {
-                          "$ref": "#/components/schemas/MinMaxParameterRule"
-                      },
-                      "nullable": true
-                  },
-                  "enumRules": {
-                      "type": "array",
-                      "items": {
-                          "$ref": "#/components/schemas/EnumParameterRule"
-                      },
-                      "nullable": true
-                  },
-                  "type": {
-                      "$ref": "#/components/schemas/ParameterType"
-                  },
-                  "label": {
-                      "type": "string",
-                      "nullable": true
-                  },
-                  "groupNames": {
-                      "type": "array",
-                      "items": {
-                          "type": "string"
-                      },
-                      "nullable": true
-                  },
-                  "argumentName": {
-                      "type": "string",
-                      "nullable": true
-                  },
-                  "uiHint": {
-                      "$ref": "#/components/schemas/UIParameterHint"
-                  }
-              },
-              "additionalProperties": false
-          },
-          "ParameterAssignment": {
-              "type": "object",
-              "properties": {
-                  "valueType": {
-                      "$ref": "#/components/schemas/ParameterValueType"
-                  },
-                  "assignmentsToConcatenate": {
-                      "type": "array",
-                      "items": {
-                          "$ref": "#/components/schemas/ParameterAssignment"
-                      },
-                      "nullable": true
-                  },
-                  "dataPathAssignment": {
-                      "$ref": "#/components/schemas/LegacyDataPath"
-                  },
-                  "dataSetDefinitionValueAssignment": {
-                      "$ref": "#/components/schemas/DataSetDefinitionValue"
-                  },
-                  "name": {
-                      "type": "string",
-                      "nullable": true
-                  },
-                  "value": {
-                      "type": "string",
-                      "nullable": true
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-                      "format": "uri",
-                      "nullable": true
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-                  "linkedPipelineDraftId": {
-                      "type": "string",
-                      "nullable": true
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-                      "type": "string",
-                      "nullable": true
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-                      "type": "string",
-                      "nullable": true
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-                      "type": "string",
-                      "nullable": true
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-                  "description": {
-                      "type": "string",
-                      "nullable": true
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-                      "type": "string",
-                      "nullable": true
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-                  "createdTime": {
-                      "type": "string",
-                      "format": "date-time",
-                      "nullable": true
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-                  "updatedTime": {
-                      "type": "string",
-                      "format": "date-time",
-                      "nullable": true
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-                  "computeName": {
-                      "type": "string",
-                      "nullable": true
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-                  "updatedBy": {
-                      "type": "string",
-                      "nullable": true
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-              "additionalProperties": false
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-          "RealTimeEndpointInfo": {
-              "type": "object",
-              "properties": {
-                  "webServiceInputs": {
-                      "type": "array",
-                      "items": {
-                          "$ref": "#/components/schemas/WebServicePort"
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-                      "type": "array",
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-                      "items": {
-                          "$ref": "#/components/schemas/DeploymentInfo"
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-                  "RegisterModels",
-                  "CreateServiceFromModels",
-                  "UpdateServiceFromModels",
-                  "WaitServiceCreating",
-                  "FetchServiceRelatedInfo",
-                  "TestWithSampleData",
-                  "AboutToDelete",
-                  "DeleteDeployment",
-                  "DeleteAsset",
-                  "DeleteImage",
-                  "DeleteModel",
-                  "DeleteServiceRecord"
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-              "type": "string"
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-                  "Update",
-                  "Delete"
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-              "type": "string"
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-                  "Succeeded",
-                  "Failed",
-                  "SucceededWithWarning"
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-              "type": "string"
-          },
-          "RealTimeEndpointStatus": {
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-                      "$ref": "#/components/schemas/RealTimeEndpointOpCode"
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-                      "$ref": "#/components/schemas/RealTimeEndpointOpStatusCode"
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-                      "$ref": "#/components/schemas/RealTimeEndpointInternalStepCode"
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-                      "nullable": true
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-          "RealTimeEndpointSummary": {
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-              "properties": {
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-                      "type": "string",
-                      "nullable": true
-                  },
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-                      "type": "string",
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-                      "type": "string",
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-                      "type": "string",
-                      "format": "date-time",
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-                  },
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-                      "type": "string",
-                      "nullable": true
-                  },
-                  "updatedBy": {
-                      "type": "string",
-                      "nullable": true
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-          "RealTimeEndpointTestRequest": {
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-                      "type": "string",
-                      "nullable": true
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-                      "type": "string",
-                      "nullable": true
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-                      "type": "integer",
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-                      "$ref": "#/components/schemas/RecurrenceSchedule"
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-                  "Week",
-                  "Month"
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-              "type": "string"
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-                      "type": "array",
-                      "items": {
-                          "type": "integer",
-                          "format": "int32"
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-                      "type": "array",
-                      "items": {
-                          "type": "integer",
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-                      "type": "array",
-                      "items": {
-                          "$ref": "#/components/schemas/Weekday"
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-                      "nullable": true
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-          "RecurrenceSchedule": {
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-                      "type": "array",
-                      "items": {
-                          "type": "integer",
-                          "format": "int32"
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-                      "items": {
-                          "type": "integer",
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-                      "nullable": true
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-                      "type": "array",
-                      "items": {
-                          "$ref": "#/components/schemas/WeekDays"
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-                          "type": "integer",
-                          "format": "int32"
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-              "additionalProperties": false
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-          "RegenerateServiceKeysRequest": {
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-                      "$ref": "#/components/schemas/KeyType"
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-                      "type": "string",
-                      "nullable": true
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-                          "$ref": "#/components/schemas/DataTypeCreationInfo"
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-                      "nullable": true
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-                      "type": "object",
-                      "properties": {
-                          "IdentifierHash": {
-                              "type": "string"
-                          },
-                          "IdentifierHashV2": {
-                              "type": "string"
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-                      "additionalProperties": false,
-                      "nullable": true
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-                  "contentHash": {
-                      "type": "string",
-                      "nullable": true
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-                      "type": "string",
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-                      "type": "object",
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-                          "IdentifierHash": {
-                              "type": "string"
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-                          "IdentifierHashV2": {
-                              "type": "string"
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-                      "additionalProperties": false,
-                      "nullable": true
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-                      "type": "boolean",
-                      "nullable": true
-                  },
-                  "validateOnly": {
-                      "type": "boolean"
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-                  "skipWorkspaceRelatedCheck": {
-                      "type": "boolean"
-                  },
-                  "intellectualPropertyProtectedWorkspaceComponentRegistrationAllowedPublisher": {
-                      "type": "array",
-                      "items": {
-                          "type": "string"
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-                      "nullable": true
-                  },
-                  "systemManagedRegistration": {
-                      "type": "boolean"
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-                      "type": "boolean"
-                  },
-                  "moduleSource": {
-                      "type": "string",
-                      "nullable": true
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-                      "type": "string",
-                      "nullable": true
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-                  "moduleAdditionalIncludesCount": {
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-                      "nullable": true
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-                  "moduleOSType": {
-                      "type": "string",
-                      "nullable": true
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-                  "moduleCodegenBy": {
-                      "type": "string",
-                      "nullable": true
-                  },
-                  "moduleClientSource": {
-                      "type": "string",
-                      "nullable": true
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-                  "moduleIsBuiltin": {
-                      "type": "boolean"
-                  },
-                  "moduleRegisterEventExtensionFields": {
-                      "type": "object",
-                      "additionalProperties": {
-                          "type": "string",
-                          "nullable": true
-                      },
-                      "nullable": true
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-              "additionalProperties": false
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-          "RegisterRegistryComponentMetaInfo": {
-              "type": "object",
-              "properties": {
-                  "registryName": {
-                      "type": "string",
-                      "nullable": true
-                  },
-                  "intellectualPropertyPublisherInformation": {
-                      "$ref": "#/components/schemas/IntellectualPropertyPublisherInformation"
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-                  "blobReferenceData": {
-                      "type": "object",
-                      "additionalProperties": {
-                          "$ref": "#/components/schemas/RegistryBlobReferenceData"
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-                      "description": "This is a dictionary",
-                      "nullable": true
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-                      "type": "string",
-                      "nullable": true
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-                      "type": "string",
-                      "nullable": true
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-                      "type": "string",
-                      "nullable": true
-                  },
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-                      "type": "string",
-                      "nullable": true
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-                      "type": "string",
-                      "nullable": true
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-                      "type": "string",
-                      "nullable": true
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-                      "$ref": "#/components/schemas/ComponentRegistrationTypeEnum"
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-                      "$ref": "#/components/schemas/ModuleEntity"
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-                      "type": "boolean"
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-                      "items": {
-                          "$ref": "#/components/schemas/DataTypeCreationInfo"
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-                      "$ref": "#/components/schemas/DataTypeMechanism"
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-                      "type": "string",
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-                  },
-                  "identifierHashes": {
-                      "type": "object",
-                      "properties": {
-                          "IdentifierHash": {
-                              "type": "string"
-                          },
-                          "IdentifierHashV2": {
-                              "type": "string"
-                          }
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-                      "additionalProperties": false,
-                      "nullable": true
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-                  "contentHash": {
-                      "type": "string",
-                      "nullable": true
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-                      "type": "string",
-                      "nullable": true
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-                  "extraHashes": {
-                      "type": "object",
-                      "properties": {
-                          "IdentifierHash": {
-                              "type": "string"
-                          },
-                          "IdentifierHashV2": {
-                              "type": "string"
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-                      },
-                      "additionalProperties": false,
-                      "nullable": true
-                  },
-                  "registration": {
-                      "type": "boolean",
-                      "nullable": true
-                  },
-                  "validateOnly": {
-                      "type": "boolean"
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-                  "skipWorkspaceRelatedCheck": {
-                      "type": "boolean"
-                  },
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-                      "type": "array",
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-                          "type": "string"
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-                      "nullable": true
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-                      "type": "boolean"
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-                      "type": "boolean"
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-                      "type": "object",
-                      "additionalProperties": {
-                          "type": "string",
-                          "nullable": true
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-                      "nullable": true
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-              "additionalProperties": false
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-                      "type": "string",
-                      "nullable": true
-                  },
-                  "name": {
-                      "type": "string",
-                      "nullable": true
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-                  "version": {
-                      "type": "string",
-                      "nullable": true
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-              "additionalProperties": false
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-                      "type": "string",
-                      "nullable": true
-                  },
-                  "version": {
-                      "type": "string",
-                      "nullable": true
-                  },
-                  "description": {
-                      "type": "string",
-                      "nullable": true
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-                  "tags": {
-                      "type": "object",
-                      "additionalProperties": {
-                          "type": "string",
-                          "nullable": true
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-                      "nullable": true
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-                  "properties": {
-                      "type": "object",
-                      "additionalProperties": {
-                          "type": "string",
-                          "nullable": true
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-                      "nullable": true
-                  },
-                  "datasetRegistrationOptions": {
-                      "$ref": "#/components/schemas/DatasetRegistrationOptions"
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-              "additionalProperties": false
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-          "RegistryBlobReferenceData": {
-              "type": "object",
-              "properties": {
-                  "dataReferenceId": {
-                      "type": "string",
-                      "nullable": true
-                  },
-                  "data": {
-                      "type": "string",
-                      "nullable": true
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-              "additionalProperties": false
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-              "type": "object",
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-                      "type": "string",
-                      "nullable": true
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-                  "clientId": {
-                      "type": "string",
-                      "nullable": true
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-              "additionalProperties": false
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-              "type": "object",
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-                      "type": "string",
-                      "nullable": true
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-                      "type": "string",
-                      "nullable": true
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-                      "nullable": true
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-                      "type": "string",
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-                      "readOnly": true
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-                      "type": "string",
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-                      "type": "string",
-                      "nullable": true,
-                      "readOnly": true
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-                      "type": "string",
-                      "nullable": true
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-                  "username": {
-                      "type": "string",
-                      "nullable": true
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-                      "type": "string",
-                      "nullable": true
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-                  "privateKey": {
-                      "type": "string",
-                      "nullable": true
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-              "additionalProperties": false
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-                      "type": "integer",
-                      "format": "int32",
-                      "nullable": true
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-                  "cpuCount": {
-                      "type": "integer",
-                      "format": "int32",
-                      "nullable": true
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-                      "type": "integer",
-                      "format": "int32",
-                      "nullable": true
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-              "additionalProperties": false
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-                      "type": "integer",
-                      "format": "int32",
-                      "nullable": true
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-                  "cpuCount": {
-                      "type": "integer",
-                      "format": "int32",
-                      "nullable": true
-                  },
-                  "memoryRequestInGB": {
-                      "type": "integer",
-                      "format": "int32",
-                      "nullable": true
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-              },
-              "additionalProperties": false
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-          "ResourcesSetting": {
-              "type": "object",
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-                      "type": "string",
-                      "nullable": true
-                  },
-                  "sparkVersion": {
-                      "type": "string",
-                      "nullable": true
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-              },
-              "additionalProperties": false
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-          "ResumeBulkRunRequest": {
-              "type": "object",
-              "properties": {
-                  "runId": {
-                      "type": "string",
-                      "nullable": true
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-                  "runDisplayName": {
-                      "type": "string",
-                      "nullable": true
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-                  "description": {
-                      "type": "string",
-                      "nullable": true
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-                      "type": "object",
-                      "additionalProperties": {
-                          "type": "string"
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-                      "description": "This is a dictionary",
-                      "nullable": true
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-                  "resumeFromRunId": {
-                      "type": "string",
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-                      "type": "string",
-                      "nullable": true
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-                  "vmSize": {
-                      "type": "string",
-                      "nullable": true
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-                      "type": "integer",
-                      "format": "int64",
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-                      "type": "string",
-                      "nullable": true
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-                      "type": "string",
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-                      "type": "boolean"
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-                      "type": "string",
-                      "nullable": true
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-                      "type": "object",
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-                      "type": "integer",
-                      "format": "int32",
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-              "additionalProperties": false
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-                      "type": "integer",
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-                      "type": "string",
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-                          "nullable": true
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-                  "referenceCode": {
-                      "type": "string",
-                      "description": "This code can optionally be set by the system generating the error.\r\nIt should be used to classify the problem and identify the module and code area where the failure occured.",
-                      "nullable": true
-                  },
-                  "detailsUri": {
-                      "type": "string",
-                      "description": "A URI which points to more details about the context of the error.",
-                      "format": "uri",
-                      "nullable": true
-                  },
-                  "target": {
-                      "type": "string",
-                      "description": "The target of the error (e.g., the name of the property in error).",
-                      "nullable": true
-                  },
-                  "details": {
-                      "type": "array",
-                      "items": {
-                          "$ref": "#/components/schemas/RootError"
-                      },
-                      "description": "The related errors that occurred during the request.",
-                      "nullable": true
-                  },
-                  "innerError": {
-                      "$ref": "#/components/schemas/InnerErrorResponse"
-                  },
-                  "additionalInfo": {
-                      "type": "array",
-                      "items": {
-                          "$ref": "#/components/schemas/ErrorAdditionalInfo"
-                      },
-                      "description": "The error additional info.",
-                      "nullable": true
-                  }
-              },
-              "additionalProperties": false,
-              "description": "The root error."
-          },
-          "RunAnnotations": {
-              "type": "object",
-              "properties": {
-                  "displayName": {
-                      "type": "string",
-                      "nullable": true
-                  },
-                  "status": {
-                      "type": "string",
-                      "nullable": true
-                  },
-                  "primaryMetricName": {
-                      "type": "string",
-                      "nullable": true
-                  },
-                  "estimatedCost": {
-                      "type": "number",
-                      "format": "double",
-                      "nullable": true
-                  },
-                  "primaryMetricSummary": {
-                      "$ref": "#/components/schemas/RunIndexMetricSummary"
-                  },
-                  "metrics": {
-                      "type": "object",
-                      "additionalProperties": {
-                          "$ref": "#/components/schemas/RunIndexMetricSummarySystemObject"
-                      },
-                      "nullable": true
-                  },
-                  "parameters": {
-                      "type": "object",
-                      "additionalProperties": {
-                          "nullable": true
-                      },
-                      "nullable": true
-                  },
-                  "settings": {
-                      "type": "object",
-                      "additionalProperties": {
-                          "type": "string",
-                          "nullable": true
-                      },
-                      "nullable": true
-                  },
-                  "modifiedTime": {
-                      "type": "string",
-                      "format": "date-time",
-                      "nullable": true
-                  },
-                  "retainForLifetimeOfWorkspace": {
-                      "type": "boolean",
-                      "nullable": true
-                  },
-                  "error": {
-                      "$ref": "#/components/schemas/IndexedErrorResponse"
-                  },
-                  "resourceMetricSummary": {
-                      "$ref": "#/components/schemas/RunIndexResourceMetricSummary"
-                  },
-                  "jobCost": {
-                      "$ref": "#/components/schemas/JobCost"
-                  },
-                  "computeDuration": {
-                      "type": "string",
-                      "format": "date-span",
-                      "nullable": true
-                  },
-                  "computeDurationMilliseconds": {
-                      "type": "number",
-                      "format": "double",
-                      "nullable": true
-                  },
-                  "effectiveStartTimeUtc": {
-                      "type": "string",
-                      "format": "date-time",
-                      "nullable": true
-                  },
-                  "name": {
-                      "type": "string",
-                      "nullable": true
-                  },
-                  "description": {
-                      "type": "string",
-                      "nullable": true
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-                  "archived": {
-                      "type": "boolean"
-                  },
-                  "tags": {
-                      "type": "object",
-                      "additionalProperties": {
-                          "type": "string",
-                          "nullable": true
-                      },
-                      "nullable": true
-                  }
-              }
-          },
-          "RunCommandsCommandResult": {
-              "type": "object",
-              "properties": {
-                  "command": {
-                      "type": "string",
-                      "nullable": true
-                  },
-                  "arguments": {
-                      "type": "array",
-                      "items": {
-                          "type": "string"
-                      },
-                      "nullable": true
-                  },
-                  "exit_code": {
-                      "type": "integer",
-                      "format": "int32"
-                  },
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-                      "type": "string",
-                      "nullable": true
-                  },
-                  "stderr": {
-                      "type": "string",
-                      "nullable": true
-                  }
-              },
-              "additionalProperties": false
-          },
-          "RunConfiguration": {
-              "type": "object",
-              "properties": {
-                  "script": {
-                      "type": "string",
-                      "nullable": true
-                  },
-                  "scriptType": {
-                      "$ref": "#/components/schemas/ScriptType"
-                  },
-                  "command": {
-                      "type": "string",
-                      "nullable": true
-                  },
-                  "useAbsolutePath": {
-                      "type": "boolean"
-                  },
-                  "arguments": {
-                      "type": "array",
-                      "items": {
-                          "type": "string"
-                      },
-                      "nullable": true
-                  },
-                  "framework": {
-                      "$ref": "#/components/schemas/Framework"
-                  },
-                  "communicator": {
-                      "$ref": "#/components/schemas/Communicator"
-                  },
-                  "target": {
-                      "type": "string",
-                      "nullable": true
-                  },
-                  "autoClusterComputeSpecification": {
-                      "$ref": "#/components/schemas/AutoClusterComputeSpecification"
-                  },
-                  "dataReferences": {
-                      "type": "object",
-                      "additionalProperties": {
-                          "$ref": "#/components/schemas/DataReferenceConfiguration"
-                      },
-                      "nullable": true
-                  },
-                  "data": {
-                      "type": "object",
-                      "additionalProperties": {
-                          "$ref": "#/components/schemas/Data"
-                      },
-                      "nullable": true
-                  },
-                  "inputAssets": {
-                      "type": "object",
-                      "additionalProperties": {
-                          "$ref": "#/components/schemas/InputAsset"
-                      },
-                      "nullable": true
-                  },
-                  "outputData": {
-                      "type": "object",
-                      "additionalProperties": {
-                          "$ref": "#/components/schemas/OutputData"
-                      },
-                      "nullable": true
-                  },
-                  "datacaches": {
-                      "type": "array",
-                      "items": {
-                          "$ref": "#/components/schemas/DatacacheConfiguration"
-                      },
-                      "nullable": true
-                  },
-                  "jobName": {
-                      "type": "string",
-                      "nullable": true
-                  },
-                  "maxRunDurationSeconds": {
-                      "type": "integer",
-                      "format": "int64",
-                      "nullable": true
-                  },
-                  "nodeCount": {
-                      "type": "integer",
-                      "format": "int32",
-                      "nullable": true
-                  },
-                  "maxNodeCount": {
-                      "type": "integer",
-                      "format": "int32",
-                      "nullable": true
-                  },
-                  "instanceTypes": {
-                      "type": "array",
-                      "items": {
-                          "type": "string"
-                      },
-                      "nullable": true
-                  },
-                  "priority": {
-                      "type": "integer",
-                      "format": "int32",
-                      "nullable": true
-                  },
-                  "credentialPassthrough": {
-                      "type": "boolean"
-                  },
-                  "identity": {
-                      "$ref": "#/components/schemas/IdentityConfiguration"
-                  },
-                  "environment": {
-                      "$ref": "#/components/schemas/EnvironmentDefinition"
-                  },
-                  "history": {
-                      "$ref": "#/components/schemas/HistoryConfiguration"
-                  },
-                  "spark": {
-                      "$ref": "#/components/schemas/SparkConfiguration"
-                  },
-                  "parallelTask": {
-                      "$ref": "#/components/schemas/ParallelTaskConfiguration"
-                  },
-                  "tensorflow": {
-                      "$ref": "#/components/schemas/TensorflowConfiguration"
-                  },
-                  "mpi": {
-                      "$ref": "#/components/schemas/MpiConfiguration"
-                  },
-                  "pyTorch": {
-                      "$ref": "#/components/schemas/PyTorchConfiguration"
-                  },
-                  "ray": {
-                      "$ref": "#/components/schemas/RayConfiguration"
-                  },
-                  "hdi": {
-                      "$ref": "#/components/schemas/HdiConfiguration"
-                  },
-                  "docker": {
-                      "$ref": "#/components/schemas/DockerConfiguration"
-                  },
-                  "commandReturnCodeConfig": {
-                      "$ref": "#/components/schemas/CommandReturnCodeConfig"
-                  },
-                  "environmentVariables": {
-                      "type": "object",
-                      "additionalProperties": {
-                          "type": "string",
-                          "nullable": true
-                      },
-                      "nullable": true
-                  },
-                  "applicationEndpoints": {
-                      "type": "object",
-                      "additionalProperties": {
-                          "$ref": "#/components/schemas/ApplicationEndpointConfiguration"
-                      },
-                      "nullable": true
-                  },
-                  "parameters": {
-                      "type": "array",
-                      "items": {
-                          "$ref": "#/components/schemas/ParameterDefinition"
-                      },
-                      "nullable": true
-                  },
-                  "autologgerSettings": {
-                      "$ref": "#/components/schemas/AutologgerSettings"
-                  },
-                  "dataBricks": {
-                      "$ref": "#/components/schemas/DatabricksConfiguration"
-                  },
-                  "trainingDiagnosticConfig": {
-                      "$ref": "#/components/schemas/TrainingDiagnosticConfiguration"
-                  },
-                  "secretsConfiguration": {
-                      "type": "object",
-                      "additionalProperties": {
-                          "$ref": "#/components/schemas/SecretConfiguration"
-                      },
-                      "nullable": true
-                  }
-              },
-              "additionalProperties": false
-          },
-          "RunDatasetReference": {
-              "type": "object",
-              "properties": {
-                  "id": {
-                      "type": "string",
-                      "nullable": true
-                  },
-                  "name": {
-                      "type": "string",
-                      "nullable": true
-                  },
-                  "version": {
-                      "type": "string",
-                      "nullable": true
-                  }
-              },
-              "additionalProperties": false
-          },
-          "RunDefinition": {
-              "type": "object",
-              "properties": {
-                  "configuration": {
-                      "$ref": "#/components/schemas/RunConfiguration"
-                  },
-                  "snapshotId": {
-                      "type": "string",
-                      "format": "uuid",
-                      "nullable": true
-                  },
-                  "snapshots": {
-                      "type": "array",
-                      "items": {
-                          "$ref": "#/components/schemas/Snapshot"
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-                      "nullable": true
-                  },
-                  "parentRunId": {
-                      "type": "string",
-                      "nullable": true
-                  },
-                  "runType": {
-                      "type": "string",
-                      "nullable": true
-                  },
-                  "displayName": {
-                      "type": "string",
-                      "nullable": true
-                  },
-                  "environmentAssetId": {
-                      "type": "string",
-                      "nullable": true
-                  },
-                  "primaryMetricName": {
-                      "type": "string",
-                      "nullable": true
-                  },
-                  "description": {
-                      "type": "string",
-                      "nullable": true
-                  },
-                  "cancelReason": {
-                      "type": "string",
-                      "nullable": true
-                  },
-                  "properties": {
-                      "type": "object",
-                      "additionalProperties": {
-                          "type": "string",
-                          "nullable": true
-                      },
-                      "nullable": true
-                  },
-                  "tags": {
-                      "type": "object",
-                      "additionalProperties": {
-                          "type": "string",
-                          "nullable": true
-                      },
-                      "nullable": true
-                  }
-              },
-              "additionalProperties": false
-          },
-          "RunDetailsDto": {
-              "type": "object",
-              "properties": {
-                  "runId": {
-                      "type": "string",
-                      "nullable": true
-                  },
-                  "runUuid": {
-                      "type": "string",
-                      "format": "uuid",
-                      "nullable": true
-                  },
-                  "parentRunUuid": {
-                      "type": "string",
-                      "format": "uuid",
-                      "nullable": true
-                  },
-                  "rootRunUuid": {
-                      "type": "string",
-                      "format": "uuid",
-                      "nullable": true
-                  },
-                  "target": {
-                      "type": "string",
-                      "nullable": true
-                  },
-                  "status": {
-                      "type": "string",
-                      "nullable": true
-                  },
-                  "parentRunId": {
-                      "type": "string",
-                      "nullable": true
-                  },
-                  "dataContainerId": {
-                      "type": "string",
-                      "nullable": true
-                  },
-                  "createdTimeUtc": {
-                      "type": "string",
-                      "format": "date-time",
-                      "nullable": true
-                  },
-                  "startTimeUtc": {
-                      "type": "string",
-                      "format": "date-time",
-                      "nullable": true
-                  },
-                  "endTimeUtc": {
-                      "type": "string",
-                      "format": "date-time",
-                      "nullable": true
-                  },
-                  "error": {
-                      "$ref": "#/components/schemas/ErrorResponse"
-                  },
-                  "warnings": {
-                      "type": "array",
-                      "items": {
-                          "$ref": "#/components/schemas/RunDetailsWarningDto"
-                      },
-                      "nullable": true
-                  },
-                  "tags": {
-                      "type": "object",
-                      "additionalProperties": {
-                          "type": "string"
-                      },
-                      "description": "This is a dictionary",
-                      "nullable": true
-                  },
-                  "properties": {
-                      "type": "object",
-                      "additionalProperties": {
-                          "type": "string"
-                      },
-                      "description": "This is a dictionary",
-                      "nullable": true
-                  },
-                  "parameters": {
-                      "type": "object",
-                      "additionalProperties": {
-                          "nullable": true
-                      },
-                      "nullable": true
-                  },
-                  "services": {
-                      "type": "object",
-                      "additionalProperties": {
-                          "$ref": "#/components/schemas/EndpointSetting"
-                      },
-                      "description": "This is a dictionary",
-                      "nullable": true
-                  },
-                  "inputDatasets": {
-                      "uniqueItems": true,
-                      "type": "array",
-                      "items": {
-                          "$ref": "#/components/schemas/DatasetLineage"
-                      },
-                      "nullable": true
-                  },
-                  "outputDatasets": {
-                      "uniqueItems": true,
-                      "type": "array",
-                      "items": {
-                          "$ref": "#/components/schemas/OutputDatasetLineage"
-                      },
-                      "nullable": true
-                  },
-                  "runDefinition": {
-                      "nullable": true
-                  },
-                  "logFiles": {
-                      "type": "object",
-                      "additionalProperties": {
-                          "type": "string"
-                      },
-                      "description": "This is a dictionary",
-                      "nullable": true
-                  },
-                  "jobCost": {
-                      "$ref": "#/components/schemas/JobCost"
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-                  "revision": {
-                      "type": "integer",
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-                      "nullable": true
-                  },
-                  "runTypeV2": {
-                      "$ref": "#/components/schemas/RunTypeV2"
-                  },
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-                      "type": "object",
-                      "additionalProperties": {
-                          "type": "string"
-                      },
-                      "description": "This is a dictionary",
-                      "nullable": true
-                  },
-                  "computeRequest": {
-                      "$ref": "#/components/schemas/ComputeRequest"
-                  },
-                  "compute": {
-                      "$ref": "#/components/schemas/Compute"
-                  },
-                  "createdBy": {
-                      "$ref": "#/components/schemas/User"
-                  },
-                  "computeDuration": {
-                      "type": "string",
-                      "format": "date-span",
-                      "nullable": true
-                  },
-                  "effectiveStartTimeUtc": {
-                      "type": "string",
-                      "format": "date-time",
-                      "nullable": true
-                  },
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-                      "type": "integer",
-                      "format": "int32",
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-                  },
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-                      "type": "string",
-                      "nullable": true
-                  },
-                  "experimentId": {
-                      "type": "string",
-                      "nullable": true
-                  },
-                  "userId": {
-                      "type": "string",
-                      "nullable": true
-                  },
-                  "statusRevision": {
-                      "type": "integer",
-                      "format": "int64",
-                      "nullable": true
-                  },
-                  "currentComputeTime": {
-                      "type": "string",
-                      "format": "date-span",
-                      "nullable": true
-                  },
-                  "lastStartTimeUtc": {
-                      "type": "string",
-                      "format": "date-time",
-                      "nullable": true
-                  },
-                  "lastModifiedBy": {
-                      "$ref": "#/components/schemas/User"
-                  },
-                  "lastModifiedUtc": {
-                      "type": "string",
-                      "format": "date-time",
-                      "nullable": true
-                  },
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-                      "type": "string",
-                      "format": "date-span",
-                      "nullable": true
-                  },
-                  "inputs": {
-                      "type": "object",
-                      "additionalProperties": {
-                          "$ref": "#/components/schemas/TypedAssetReference"
-                      },
-                      "nullable": true
-                  },
-                  "outputs": {
-                      "type": "object",
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-                      "nullable": true
-                  },
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-                      "type": "integer",
-                      "format": "int32",
-                      "nullable": true
-                  }
-              },
-              "additionalProperties": false
-          },
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-                      "type": "string",
-                      "nullable": true
-                  },
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-                      "type": "string",
-                      "nullable": true
-                  }
-              },
-              "additionalProperties": false
-          },
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-                  "AutoAppend",
-                  "UserProvidedMacro"
-              ],
-              "type": "string"
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-                      "nullable": true
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-                      "type": "string",
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-                      "type": "string",
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-                      "type": "string",
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-                      "type": "string",
-                      "nullable": true
-                  },
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-                      "type": "string",
-                      "format": "date-time",
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-                  },
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-                      "$ref": "#/components/schemas/ErrorResponse"
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-                      "type": "array",
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-                          "$ref": "#/components/schemas/RunDetailsWarningDto"
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-                  },
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-                      "type": "integer",
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-                      "type": "string",
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-                      "type": "string",
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-                      "type": "string",
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-                      "type": "string",
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-                      "type": "boolean",
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-                  },
-                  "runTypeV2": {
-                      "$ref": "#/components/schemas/RunTypeV2"
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-                          "type": "string"
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-                      "description": "This is a dictionary",
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-                          "type": "string",
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-                      "type": "array",
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-                          "type": "string"
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-                          "type": "string"
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-                  },
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-                      "type": "object",
-                      "additionalProperties": {
-                          "type": "string",
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-                  },
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-                      "$ref": "#/components/schemas/FlowRunSettings"
-                  },
-                  "isArchived": {
-                      "type": "boolean"
-                  },
-                  "vmSize": {
-                      "type": "string",
-                      "nullable": true
-                  },
-                  "maxIdleTimeSeconds": {
-                      "type": "integer",
-                      "format": "int64",
-                      "nullable": true
-                  },
-                  "identity": {
-                      "type": "string",
-                      "nullable": true
-                  }
-              },
-              "additionalProperties": false
-          },
-          "UpdateFlowRuntimeRequest": {
-              "type": "object",
-              "properties": {
-                  "runtimeDescription": {
-                      "type": "string",
-                      "nullable": true
-                  },
-                  "environment": {
-                      "type": "string",
-                      "nullable": true
-                  },
-                  "instanceCount": {
-                      "type": "integer",
-                      "format": "int32"
-                  }
-              },
-              "additionalProperties": false
-          },
-          "UpdateFlowStatusRequest": {
-              "type": "object",
-              "properties": {
-                  "flowRunStatus": {
-                      "$ref": "#/components/schemas/FlowRunStatusEnum"
-                  },
-                  "errorResponse": {
-                      "$ref": "#/components/schemas/ErrorResponse"
-                  }
-              },
-              "additionalProperties": false
-          },
-          "UpdateRegistryComponentRequest": {
-              "type": "object",
-              "properties": {
-                  "registryName": {
-                      "type": "string",
-                      "nullable": true
-                  },
-                  "componentName": {
-                      "type": "string",
-                      "nullable": true
-                  },
-                  "componentVersion": {
-                      "type": "string",
-                      "nullable": true
-                  },
-                  "updateType": {
-                      "$ref": "#/components/schemas/UpdateType"
-                  }
-              },
-              "additionalProperties": false
-          },
-          "UpdateType": {
-              "enum": [
-                  "SetDefaultVersion"
-              ],
-              "type": "string"
-          },
-          "UploadOptions": {
-              "type": "object",
-              "properties": {
-                  "overwrite": {
-                      "type": "boolean"
-                  },
-                  "sourceGlobs": {
-                      "$ref": "#/components/schemas/ExecutionGlobsOptions"
-                  }
-              },
-              "additionalProperties": false
-          },
-          "UploadState": {
-              "enum": [
-                  "Uploading",
-                  "Completed",
-                  "Canceled",
-                  "Failed"
-              ],
-              "type": "string"
-          },
-          "UriReference": {
-              "type": "object",
-              "properties": {
-                  "path": {
-                      "type": "string",
-                      "nullable": true
-                  },
-                  "isFile": {
-                      "type": "boolean"
-                  }
-              },
-              "additionalProperties": false
-          },
-          "UseStl": {
-              "enum": [
-                  "Season",
-                  "SeasonTrend"
-              ],
-              "type": "string"
-          },
-          "User": {
-              "type": "object",
-              "properties": {
-                  "userObjectId": {
-                      "type": "string",
-                      "description": "A user or service principal's object ID.\r\nThis is EUPI and may only be logged to warm path telemetry.",
-                      "nullable": true
-                  },
-                  "userPuId": {
-                      "type": "string",
-                      "description": "A user or service principal's PuID.\r\nThis is PII and should never be logged.",
-                      "nullable": true
-                  },
-                  "userIdp": {
-                      "type": "string",
-                      "description": "A user identity provider. Eg live.com\r\nThis is PII and should never be logged.",
-                      "nullable": true
-                  },
-                  "userAltSecId": {
-                      "type": "string",
-                      "description": "A user alternate sec id. This represents the user in a different identity provider system Eg.1:live.com:puid\r\nThis is PII and should never be logged.",
-                      "nullable": true
-                  },
-                  "userIss": {
-                      "type": "string",
-                      "description": "The issuer which issed the token for this user.\r\nThis is PII and should never be logged.",
-                      "nullable": true
-                  },
-                  "userTenantId": {
-                      "type": "string",
-                      "description": "A user or service principal's tenant ID.",
-                      "nullable": true
-                  },
-                  "userName": {
-                      "type": "string",
-                      "description": "A user's full name or a service principal's app ID.\r\nThis is PII and should never be logged.",
-                      "nullable": true
-                  },
-                  "upn": {
-                      "type": "string",
-                      "description": "A user's Principal name (upn)\r\nThis is PII andshould never be logged",
-                      "nullable": true
-                  }
-              },
-              "additionalProperties": false
-          },
-          "UserAssignedIdentity": {
-              "type": "object",
-              "properties": {
-                  "principalId": {
-                      "type": "string",
-                      "format": "uuid"
-                  },
-                  "clientId": {
-                      "type": "string",
-                      "format": "uuid"
-                  }
-              },
-              "additionalProperties": false
-          },
-          "UserType": {
-              "enum": [
-                  "User",
-                  "Application",
-                  "ManagedIdentity",
-                  "Key"
-              ],
-              "type": "string"
-          },
-          "ValidationDataSettings": {
-              "type": "object",
-              "properties": {
-                  "nCrossValidations": {
-                      "$ref": "#/components/schemas/NCrossValidations"
-                  },
-                  "validationDataSize": {
-                      "type": "number",
-                      "format": "double",
-                      "nullable": true
-                  },
-                  "cvSplitColumnNames": {
-                      "type": "array",
-                      "items": {
-                          "type": "string"
-                      },
-                      "nullable": true
-                  },
-                  "validationType": {
-                      "type": "string",
-                      "nullable": true
-                  }
-              },
-              "additionalProperties": false
-          },
-          "ValidationStatus": {
-              "enum": [
-                  "Succeeded",
-                  "Failed"
-              ],
-              "type": "string"
-          },
-          "ValueType": {
-              "enum": [
-                  "int",
-                  "double",
-                  "bool",
-                  "string",
-                  "secret",
-                  "prompt_template",
-                  "object",
-                  "list",
-                  "BingConnection",
-                  "OpenAIConnection",
-                  "AzureOpenAIConnection",
-                  "AzureContentModeratorConnection",
-                  "CustomConnection",
-                  "AzureContentSafetyConnection",
-                  "SerpConnection",
-                  "CognitiveSearchConnection",
-                  "SubstrateLLMConnection",
-                  "PineconeConnection",
-                  "QdrantConnection",
-                  "WeaviateConnection",
-                  "function_list",
-                  "function_str",
-                  "FormRecognizerConnection",
-                  "file_path",
-                  "image",
-                  "assistant_definition",
-                  "ServerlessConnection"
-              ],
-              "type": "string"
-          },
-          "VariantIdentifier": {
-              "type": "object",
-              "properties": {
-                  "variantId": {
-                      "type": "string",
-                      "nullable": true
-                  },
-                  "tuningNodeName": {
-                      "type": "string",
-                      "nullable": true
-                  }
-              },
-              "additionalProperties": false
-          },
-          "VariantNode": {
-              "type": "object",
-              "properties": {
-                  "node": {
-                      "$ref": "#/components/schemas/Node"
-                  },
-                  "description": {
-                      "type": "string",
-                      "nullable": true
-                  }
-              },
-              "additionalProperties": false
-          },
-          "VmPriority": {
-              "enum": [
-                  "Dedicated",
-                  "Lowpriority"
-              ],
-              "type": "string"
-          },
-          "Volume": {
-              "type": "object",
-              "properties": {
-                  "type": {
-                      "type": "string",
-                      "nullable": true
-                  },
-                  "source": {
-                      "type": "string",
-                      "nullable": true
-                  },
-                  "target": {
-                      "type": "string",
-                      "nullable": true
-                  }
-              },
-              "additionalProperties": false
-          },
-          "WebServiceComputeMetaInfo": {
-              "type": "object",
-              "properties": {
-                  "nodeCount": {
-                      "type": "integer",
-                      "format": "int32"
-                  },
-                  "isSslEnabled": {
-                      "type": "boolean"
-                  },
-                  "aksNotFound": {
-                      "type": "boolean"
-                  },
-                  "clusterPurpose": {
-                      "type": "string",
-                      "nullable": true
-                  },
-                  "publicIpAddress": {
-                      "type": "string",
-                      "nullable": true
-                  },
-                  "vmSize": {
-                      "type": "string",
-                      "nullable": true
-                  },
-                  "location": {
-                      "type": "string",
-                      "nullable": true
-                  },
-                  "provisioningState": {
-                      "type": "string",
-                      "nullable": true
-                  },
-                  "state": {
-                      "type": "string",
-                      "nullable": true
-                  },
-                  "osType": {
-                      "type": "string",
-                      "nullable": true
-                  },
-                  "id": {
-                      "type": "string",
-                      "nullable": true
-                  },
-                  "name": {
-                      "type": "string",
-                      "nullable": true
-                  },
-                  "createdByStudio": {
-                      "type": "boolean"
-                  },
-                  "isGpuType": {
-                      "type": "boolean"
-                  },
-                  "resourceId": {
-                      "type": "string",
-                      "nullable": true
-                  },
-                  "computeType": {
-                      "type": "string",
-                      "nullable": true
-                  }
-              },
-              "additionalProperties": false
-          },
-          "WebServicePort": {
-              "type": "object",
-              "properties": {
-                  "nodeId": {
-                      "type": "string",
-                      "nullable": true
-                  },
-                  "portName": {
-                      "type": "string",
-                      "nullable": true
-                  },
-                  "name": {
-                      "type": "string",
-                      "nullable": true
-                  }
-              },
-              "additionalProperties": false
-          },
-          "WebServiceState": {
-              "enum": [
-                  "Transitioning",
-                  "Healthy",
-                  "Unhealthy",
-                  "Failed",
-                  "Unschedulable"
-              ],
-              "type": "string"
-          },
-          "Webhook": {
-              "type": "object",
-              "properties": {
-                  "webhookType": {
-                      "$ref": "#/components/schemas/WebhookType"
-                  },
-                  "eventType": {
-                      "type": "string",
-                      "nullable": true
-                  }
-              },
-              "additionalProperties": false
-          },
-          "WebhookType": {
-              "enum": [
-                  "AzureDevOps"
-              ],
-              "type": "string"
-          },
-          "WeekDays": {
-              "enum": [
-                  "Monday",
-                  "Tuesday",
-                  "Wednesday",
-                  "Thursday",
-                  "Friday",
-                  "Saturday",
-                  "Sunday"
-              ],
-              "type": "string"
-          },
-          "Weekday": {
-              "enum": [
-                  "Monday",
-                  "Tuesday",
-                  "Wednesday",
-                  "Thursday",
-                  "Friday",
-                  "Saturday",
-                  "Sunday"
-              ],
-              "type": "string"
-          },
-          "WorkspaceConnectionSpec": {
-              "type": "object",
-              "properties": {
-                  "connectionCategory": {
-                      "$ref": "#/components/schemas/ConnectionCategory"
-                  },
-                  "flowValueType": {
-                      "$ref": "#/components/schemas/ValueType"
-                  },
-                  "connectionType": {
-                      "$ref": "#/components/schemas/ConnectionType"
-                  },
-                  "connectionTypeDisplayName": {
-                      "type": "string",
-                      "nullable": true
-                  },
-                  "configSpecs": {
-                      "type": "array",
-                      "items": {
-                          "$ref": "#/components/schemas/ConnectionConfigSpec"
-                      },
-                      "nullable": true
-                  },
-                  "module": {
-                      "type": "string",
-                      "nullable": true
-                  }
-              },
-              "additionalProperties": false
-          },
-          "YarnDeployMode": {
-              "enum": [
-                  "None",
-                  "Client",
-                  "Cluster"
-              ],
-              "type": "string"
-          }
-      },
-      "parameters": {
-          "subscriptionIdParameter": {
-              "name": "subscriptionId",
-              "in": "path",
-              "description": "The Azure Subscription ID.",
-              "required": true,
-              "schema": {
-                  "type": "string",
-                  "format": "uuid"
-              },
-              "x-ms-parameter-location": "method"
-          },
-          "resourceGroupNameParameter": {
-              "name": "resourceGroupName",
-              "in": "path",
-              "description": "The Name of the resource group in which the workspace is located.",
-              "required": true,
-              "schema": {
-                  "type": "string"
-              },
-              "x-ms-parameter-location": "method"
-          },
-          "workspaceNameParameter": {
-              "name": "workspaceName",
-              "in": "path",
-              "description": "The name of the workspace.",
-              "required": true,
-              "schema": {
-                  "type": "string"
-              },
-              "x-ms-parameter-location": "method"
-          }
-      },
-      "securitySchemes": {
-          "azure_auth": {
-              "type": "oauth2",
-              "flows": {
-                  "implicit": {
-                      "authorizationUrl": "https://login.microsoftonline.com/common/oauth2/authorize",
-                      "scopes": {
-                          "user_impersonation": "impersonate your user account"
-                      }
-                  }
-              }
-          }
-      }
-  },
-  "security": [
-      {
-          "azure_auth": [
-              "user_impersonation"
-          ]
-      }
-  ]
-}
\ No newline at end of file
diff --git a/src/promptflow/promptflow/azure/_storage/cosmosdb/span.py b/src/promptflow/promptflow/azure/_storage/cosmosdb/span.py
deleted file mode 100644
index 25ef16144ee..00000000000
--- a/src/promptflow/promptflow/azure/_storage/cosmosdb/span.py
+++ /dev/null
@@ -1,60 +0,0 @@
-# ---------------------------------------------------------
-# Copyright (c) Microsoft Corporation. All rights reserved.
-# ---------------------------------------------------------
-
-from typing import Any, Dict
-
-from promptflow._constants import SpanFieldName
-from promptflow._sdk.entities._trace import Span as SpanEntity
-
-
-class Span:
-
-    name: str = None
-    context: dict = None
-    kind: str = None
-    parent_id: str = None
-    start_time: str = None
-    end_time: str = None
-    status: dict = None
-    attributes: dict = None
-    events: list = None
-    links: list = None
-    resource: dict = None
-    id: str = None
-    partition_key: str = None
-    created_by: dict = None
-
-    def __init__(self, span: SpanEntity, created_by: dict) -> None:
-        self.name = span.name
-        self.context = span._content[SpanFieldName.CONTEXT]
-        self.kind = span._content[SpanFieldName.KIND]
-        self.parent_id = span.parent_span_id
-        self.start_time = span._content[SpanFieldName.START_TIME]
-        self.end_time = span._content[SpanFieldName.END_TIME]
-        self.status = span._content[SpanFieldName.STATUS]
-        self.attributes = span._content[SpanFieldName.ATTRIBUTES]
-        self.events = span._content[SpanFieldName.EVENTS]
-        self.links = span._content[SpanFieldName.LINKS]
-        self.resource = span._content[SpanFieldName.RESOURCE]
-        self.partition_key = span.session_id
-        self.id = span.span_id
-        self.created_by = created_by
-
-    def persist(self, client):
-        if self.id is None or self.partition_key is None or self.resource is None:
-            return
-
-        resource_attributes = self.resource.get(SpanFieldName.ATTRIBUTES, None)
-        if resource_attributes is None:
-            return
-
-        from azure.cosmos.exceptions import CosmosResourceExistsError
-
-        try:
-            return client.create_item(body=self.to_dict())
-        except CosmosResourceExistsError:
-            return None
-
-    def to_dict(self) -> Dict[str, Any]:
-        return {k: v for k, v in self.__dict__.items() if v}
diff --git a/src/promptflow/promptflow/azure/_storage/cosmosdb/summary.py b/src/promptflow/promptflow/azure/_storage/cosmosdb/summary.py
deleted file mode 100644
index fad1e80b033..00000000000
--- a/src/promptflow/promptflow/azure/_storage/cosmosdb/summary.py
+++ /dev/null
@@ -1,196 +0,0 @@
-import datetime
-import time
-import typing
-from dataclasses import asdict, dataclass, field
-
-from flask import current_app
-
-from promptflow._constants import SpanAttributeFieldName, SpanFieldName, SpanStatusFieldName
-from promptflow._sdk._utils import json_loads_parse_const_as_str
-from promptflow._sdk.entities._trace import Span
-
-
-@dataclass
-class SummaryLine:
-    """
-    This class represents an Item in Summary container
-    """
-
-    id: str
-    partition_key: str
-    session_id: str
-    trace_id: str
-    root_span_id: str
-    inputs: typing.Dict
-    outputs: typing.Dict
-    start_time: datetime.datetime
-    end_time: datetime.datetime
-    status: str
-    latency: float
-    name: str
-    kind: str
-    created_by: typing.Dict
-    cumulative_token_count: typing.Optional[typing.Dict[str, int]]
-    evaluations: typing.Dict = field(default_factory=dict)
-    # Only for batch run
-    batch_run_id: str = None
-    line_number: str = None
-    # Only for line run
-    line_run_id: str = None
-
-
-@dataclass
-class LineEvaluation:
-    """
-    This class represents an evaluation value in Summary container item.
-
-    """
-
-    outputs: typing.Dict
-    trace_id: str
-    root_span_id: str
-    display_name: str
-    created_by: typing.Dict
-    flow_id: str = None
-    # Only for batch run
-    batch_run_id: str = None
-    line_number: str = None
-    # Only for line run
-    line_run_id: str = None
-
-
-class Summary:
-    def __init__(self, span: Span, created_by: typing.Dict) -> None:
-        self.span = span
-        self.created_by = created_by
-
-    def persist(self, client):
-        if self.span.parent_span_id:
-            # This is not the root span
-            return
-        attributes = self.span._content[SpanFieldName.ATTRIBUTES]
-
-        # Persist span as a line run, since even evaluation is a line run, could be referenced by other evaluations.
-        self._persist_line_run(client)
-
-        if (
-            SpanAttributeFieldName.LINE_RUN_ID not in attributes
-            and SpanAttributeFieldName.BATCH_RUN_ID not in attributes
-        ):
-            current_app.logger.info(
-                "No line run id or batch run id found. Could be aggregate node, eager flow or arbitrary script. "
-                "Ignore for patching evaluations."
-            )
-            return
-
-        if SpanAttributeFieldName.REFERENCED_LINE_RUN_ID in attributes or (
-            SpanAttributeFieldName.REFERENCED_BATCH_RUN_ID in attributes
-            and SpanAttributeFieldName.LINE_NUMBER in attributes
-        ):
-            # Add sleep to wait for main run to be persisted.
-            # We receive requests to persist main flow first and then evaluation,
-            # but init cosmosDB client is time consuming, and the later request will reuse the same client, so it's
-            # possible that the main run is not persisted when we start to patch evaluation to it.
-            time.sleep(1)
-            self._insert_evaluation(client)
-
-    def _persist_line_run(self, client):
-        attributes: dict = self.span._content[SpanFieldName.ATTRIBUTES]
-
-        session_id = self.span.session_id
-        start_time = self.span._content[SpanFieldName.START_TIME]
-        end_time = self.span._content[SpanFieldName.END_TIME]
-
-        # Span's original format don't include latency, so we need to calculate it.
-        # Convert ISO 8601 formatted strings to datetime objects
-        start_time_date = datetime.datetime.fromisoformat(start_time.replace("Z", "+00:00"))
-        end_time_date = datetime.datetime.fromisoformat(end_time.replace("Z", "+00:00"))
-        latency = (end_time_date - start_time_date).total_seconds()
-        # calculate `cumulative_token_count`
-        completion_token_count = int(attributes.get(SpanAttributeFieldName.COMPLETION_TOKEN_COUNT, 0))
-        prompt_token_count = int(attributes.get(SpanAttributeFieldName.PROMPT_TOKEN_COUNT, 0))
-        total_token_count = int(attributes.get(SpanAttributeFieldName.TOTAL_TOKEN_COUNT, 0))
-        # if there is no token usage, set `cumulative_token_count` to None
-        if total_token_count > 0:
-            cumulative_token_count = {
-                "completion": completion_token_count,
-                "prompt": prompt_token_count,
-                "total": total_token_count,
-            }
-        else:
-            cumulative_token_count = None
-        item = SummaryLine(
-            id=self.span.trace_id,  # trace id is unique for LineSummary container
-            partition_key=session_id,
-            session_id=session_id,
-            trace_id=self.span.trace_id,
-            root_span_id=self.span.span_id,
-            inputs=json_loads_parse_const_as_str(attributes.get(SpanAttributeFieldName.INPUTS, "null")),
-            outputs=json_loads_parse_const_as_str(attributes.get(SpanAttributeFieldName.OUTPUT, "null")),
-            start_time=start_time,
-            end_time=end_time,
-            status=self.span._content[SpanFieldName.STATUS][SpanStatusFieldName.STATUS_CODE],
-            latency=latency,
-            name=self.span.name,
-            kind=attributes[SpanAttributeFieldName.SPAN_TYPE],
-            cumulative_token_count=cumulative_token_count,
-            created_by=self.created_by,
-        )
-        if SpanAttributeFieldName.LINE_RUN_ID in attributes:
-            item.line_run_id = attributes[SpanAttributeFieldName.LINE_RUN_ID]
-        elif SpanAttributeFieldName.BATCH_RUN_ID in attributes and SpanAttributeFieldName.LINE_NUMBER in attributes:
-            item.batch_run_id = attributes[SpanAttributeFieldName.BATCH_RUN_ID]
-            item.line_number = attributes[SpanAttributeFieldName.LINE_NUMBER]
-
-        current_app.logger.info(f"Persist main run for LineSummary id: {item.id}")
-        return client.create_item(body=asdict(item))
-
-    def _insert_evaluation(self, client):
-        attributes: dict = self.span._content[SpanFieldName.ATTRIBUTES]
-        partition_key = self.span.session_id
-        name = self.span.name
-        item = LineEvaluation(
-            trace_id=self.span.trace_id,
-            root_span_id=self.span.span_id,
-            outputs=json_loads_parse_const_as_str(attributes[SpanAttributeFieldName.OUTPUT]),
-            display_name=name,
-            created_by=self.created_by,
-        )
-        if SpanAttributeFieldName.REFERENCED_LINE_RUN_ID in attributes:
-            # Query to get item id from line run id.
-            line_run_id = attributes[SpanAttributeFieldName.REFERENCED_LINE_RUN_ID]
-            query = "SELECT * FROM c WHERE c.line_run_id = @line_run_id"
-            parameters = [
-                {"name": "@line_run_id", "value": line_run_id},
-            ]
-            items = list(client.query_items(query=query, parameters=parameters, partition_key=partition_key))
-            if items:
-                main_id = items[0]["id"]
-            else:
-                current_app.logger.error(f"Cannot find main run for line run id: {line_run_id}")
-                return
-            line_run_id = attributes[SpanAttributeFieldName.LINE_RUN_ID]
-            item.line_run_id = line_run_id
-        else:
-            # Query to get item id from batch run id and line number.
-            referenced_batch_run_id = attributes[SpanAttributeFieldName.REFERENCED_BATCH_RUN_ID]
-            line_number = attributes[SpanAttributeFieldName.LINE_NUMBER]
-            query = "SELECT * FROM c WHERE c.batch_run_id = @batch_run_id AND c.line_number = @line_number"
-            parameters = [
-                {"name": "@batch_run_id", "value": referenced_batch_run_id},
-                {"name": "@line_number", "value": line_number},
-            ]
-            items = list(client.query_items(query=query, parameters=parameters, partition_key=partition_key))
-            if items:
-                main_id = items[0]["id"]
-            else:
-                current_app.logger.error(
-                    f"Cannot find main run for batch run id: {referenced_batch_run_id} and line number: {line_number}"
-                )
-                return
-            item.batch_run_id = attributes[SpanAttributeFieldName.BATCH_RUN_ID]
-            item.line_number = attributes[SpanAttributeFieldName.LINE_NUMBER]
-
-        patch_operations = [{"op": "add", "path": f"/evaluations/{name}", "value": asdict(item)}]
-        current_app.logger.info(f"Insert evaluation for LineSummary main_id: {main_id}")
-        return client.patch_item(item=main_id, partition_key=partition_key, patch_operations=patch_operations)
diff --git a/src/promptflow/promptflow/azure/_utils/general.py b/src/promptflow/promptflow/azure/_utils/general.py
deleted file mode 100644
index 7196dc1e4dc..00000000000
--- a/src/promptflow/promptflow/azure/_utils/general.py
+++ /dev/null
@@ -1,63 +0,0 @@
-# ---------------------------------------------------------
-# Copyright (c) Microsoft Corporation. All rights reserved.
-# ---------------------------------------------------------
-
-import jwt
-
-from promptflow.exceptions import ValidationException
-
-
-def is_arm_id(obj) -> bool:
-    return isinstance(obj, str) and obj.startswith("azureml://")
-
-
-def get_token(credential, resource) -> str:
-    from azure.ai.ml._azure_environments import _resource_to_scopes
-
-    azure_ml_scopes = _resource_to_scopes(resource)
-    token = credential.get_token(*azure_ml_scopes).token
-    # validate token has aml audience
-    decoded_token = jwt.decode(
-        token,
-        options={"verify_signature": False, "verify_aud": False},
-    )
-    if decoded_token.get("aud") != resource:
-        msg = """AAD token with aml scope could not be fetched using the credentials being used.
-            Please validate if token with {0} scope can be fetched using credentials provided to PFClient.
-            Token with {0} scope can be fetched using credentials.get_token({0})
-            """
-        raise ValidationException(
-            message=msg.format(*azure_ml_scopes),
-        )
-
-    return token
-
-
-def get_aml_token(credential) -> str:
-    from azure.ai.ml._azure_environments import _get_aml_resource_id_from_metadata
-
-    resource = _get_aml_resource_id_from_metadata()
-    return get_token(credential, resource)
-
-
-def get_arm_token(credential) -> str:
-    from azure.ai.ml._azure_environments import _get_base_url_from_metadata
-
-    resource = _get_base_url_from_metadata()
-    return get_token(credential, resource)
-
-
-def get_authorization(credential=None) -> str:
-    token = get_arm_token(credential=credential)
-    return "Bearer " + token
-
-
-def get_user_alias_from_credential(credential):
-    token = get_arm_token(credential=credential)
-    decode_json = jwt.decode(token, options={"verify_signature": False, "verify_aud": False})
-    try:
-        email = decode_json.get("upn", decode_json.get("email", None))
-        return email.split("@")[0]
-    except Exception:
-        # use oid when failed to get upn, e.g. service principal
-        return decode_json["oid"]
diff --git a/src/promptflow/promptflow/executor/_assistant_tool_invoker.py b/src/promptflow/promptflow/executor/_assistant_tool_invoker.py
deleted file mode 100644
index aa88ea2efa2..00000000000
--- a/src/promptflow/promptflow/executor/_assistant_tool_invoker.py
+++ /dev/null
@@ -1,20 +0,0 @@
-from dataclasses import dataclass
-from typing import Callable, Dict
-
-
-@dataclass
-class AssistantTool:
-    name: str
-    openai_definition: dict
-    func: Callable
-
-
-class AssistantToolInvoker:
-    def __init__(self, tools: Dict[str, AssistantTool]):
-        self._assistant_tools = tools
-
-    def invoke_tool(self, func_name, kwargs):
-        return self._assistant_tools[func_name].func(**kwargs)
-
-    def to_openai_tools(self):
-        return [tool.openai_definition for tool in self._assistant_tools.values()]
diff --git a/src/promptflow/promptflow/executor/_line_execution_process_pool.py b/src/promptflow/promptflow/executor/_line_execution_process_pool.py
deleted file mode 100644
index fbe62aea3d8..00000000000
--- a/src/promptflow/promptflow/executor/_line_execution_process_pool.py
+++ /dev/null
@@ -1,764 +0,0 @@
-import contextvars
-import multiprocessing
-import os
-import queue
-import signal
-import sys
-import threading
-import time
-from datetime import datetime
-from functools import partial
-from logging import INFO
-from multiprocessing import Manager, Queue
-from multiprocessing.pool import ThreadPool
-from typing import List, Optional, Union
-
-import psutil
-
-from promptflow._constants import LINE_NUMBER_KEY, LINE_TIMEOUT_SEC
-from promptflow._core._errors import ProcessPoolError, UnexpectedError
-from promptflow._core.operation_context import OperationContext
-from promptflow._core.run_tracker import RunTracker
-from promptflow._utils.dataclass_serializer import convert_eager_flow_output_to_dict
-from promptflow._utils.exception_utils import ExceptionPresenter
-from promptflow._utils.logger_utils import bulk_logger
-from promptflow._utils.multimedia_utils import _process_recursively, persist_multimedia_data
-from promptflow._utils.thread_utils import RepeatLogTimer
-from promptflow._utils.utils import log_progress, set_context
-from promptflow.contracts.multimedia import Image
-from promptflow.contracts.run_info import FlowRunInfo
-from promptflow.contracts.run_info import RunInfo as NodeRunInfo
-from promptflow.contracts.run_info import Status
-from promptflow.exceptions import ErrorTarget, PromptflowException
-from promptflow.executor._errors import (
-    BatchExecutionTimeoutError,
-    LineExecutionTimeoutError,
-    ProcessCrashError,
-    ProcessInfoObtainedTimeout,
-    ProcessTerminatedTimeout,
-)
-from promptflow.executor._process_manager import ForkProcessManager, SpawnProcessManager
-from promptflow.executor._result import LineResult
-from promptflow.executor._script_executor import ScriptExecutor
-from promptflow.executor.flow_executor import DEFAULT_CONCURRENCY_BULK, FlowExecutor
-from promptflow.storage import AbstractRunStorage
-
-TERMINATE_SIGNAL = "terminate"
-
-
-def signal_handler(signum, frame):
-    signame = signal.Signals(signum).name
-    bulk_logger.info("Execution stopping. Handling signal %s (%s)", signame, signum)
-    try:
-        process = psutil.Process(os.getpid())
-        bulk_logger.info("Successfully terminated process with pid %s", process.pid)
-        process.terminate()
-    except Exception:
-        bulk_logger.warning("Error when handling execution stop signal", exc_info=True)
-    finally:
-        sys.exit(1)
-
-
-class QueueRunStorage(AbstractRunStorage):
-    """This storage persists run info by putting it into a queue."""
-
-    def __init__(self, queue: Queue):
-        self.queue = queue
-
-    def persist_node_run(self, run_info: NodeRunInfo):
-        self.queue.put(run_info)
-
-    def persist_flow_run(self, run_info: FlowRunInfo):
-        self.queue.put(run_info)
-
-
-def format_current_process_info(process_name, pid, line_number: int):
-    return f"Process name({process_name})-Process id({pid})-Line number({line_number})"
-
-
-def log_process_status(process_name, pid, line_number: int, is_completed=False, is_failed=False):
-    process_info = format_current_process_info(process_name, pid, line_number)
-    if is_completed:
-        bulk_logger.info(f"{process_info} completed.")
-    elif is_failed:
-        bulk_logger.info(f"{process_info} failed.")
-    else:
-        bulk_logger.info(f"{process_info} start execution.")
-
-
-class LineExecutionProcessPool:
-    _DEFAULT_WORKER_COUNT = 4
-    _PROCESS_TERMINATED_TIMEOUT = 60
-    _PROCESS_INFO_OBTAINED_TIMEOUT = 60
-
-    def __init__(
-        self,
-        flow_executor: FlowExecutor,
-        nlines,
-        run_id,
-        output_dir,
-        batch_timeout_sec: Optional[int] = None,
-        line_timeout_sec: Optional[int] = None,
-        worker_count: Optional[int] = None,
-    ):
-        self._nlines = nlines
-        self._run_id = run_id
-        multiprocessing_start_method = os.environ.get("PF_BATCH_METHOD", multiprocessing.get_start_method())
-        sys_start_methods = multiprocessing.get_all_start_methods()
-        if multiprocessing_start_method not in sys_start_methods:
-            bulk_logger.warning(
-                f"Failed to set start method to '{multiprocessing_start_method}', "
-                f"start method {multiprocessing_start_method} is not in: {sys_start_methods}."
-            )
-            bulk_logger.info(f"Set start method to default {multiprocessing.get_start_method()}.")
-            multiprocessing_start_method = multiprocessing.get_start_method()
-        use_fork = multiprocessing_start_method in ["fork", "forkserver"]
-        self._flow_file = flow_executor._flow_file
-        self._connections = flow_executor._connections
-        self._working_dir = flow_executor._working_dir
-        self._use_fork = use_fork
-        if isinstance(flow_executor, ScriptExecutor):
-            self._storage = flow_executor._storage
-        else:
-            self._storage = flow_executor._run_tracker._storage
-        self._flow_id = flow_executor._flow_id
-        self._log_interval = flow_executor._log_interval
-        self._line_timeout_sec = line_timeout_sec or LINE_TIMEOUT_SEC
-        self._batch_timeout_sec = batch_timeout_sec
-        self._output_dir = output_dir
-        self._flow_create_kwargs = {
-            "flow_file": flow_executor._flow_file,
-            "connections": flow_executor._connections,
-            "working_dir": flow_executor._working_dir,
-            "line_timeout_sec": self._line_timeout_sec,
-            "raise_ex": False,
-        }
-        # Will set to True if the batch run is timeouted.
-        self._is_timeout = False
-        self._worker_count = self._determine_worker_count(worker_count)
-
-    def __enter__(self):
-        manager = Manager()
-        self._processing_idx = manager.dict()
-        self._completed_idx = manager.dict()
-
-        self._task_queue = Queue()
-        self._n_process = self._worker_count
-
-        # When using fork, we first spawn a sub process, the SemLock created in fork context (multiprocessing.Queue()）
-        # can't used in a spawn context. Since spawn does not share memory, synchronization primitives created by
-        # fork cannot be used directly. It will cause an error: "A SemLock created in a fork context is being
-        # shared with a process in a spawn context. This is not supported".
-
-        # So use multiprocessing.Manager().Queue() instead of multiprocessing.Queue().
-        # Manager().Queue() operates through a manager server process, which passes messages between different
-        # processes without directly sharing memory state, which makes it safe to use in a spawn context.
-        self._input_queues = [manager.Queue() for _ in range(self._n_process)]
-        self._output_queues = [manager.Queue() for _ in range(self._n_process)]
-        self._control_signal_queue = manager.Queue()
-        self._process_info = manager.dict()
-
-        # when using fork, we first create a process with spawn method to establish a clean environment
-        # Then fork the subprocess in this environment to avoid some deadlock problems
-        common_kwargs = {
-            "input_queues": self._input_queues,
-            "output_queues": self._output_queues,
-            "process_info": self._process_info,
-            "process_target_func": _process_wrapper,
-        }
-        if self._use_fork:
-            # 1. Create input_queue, output_queue, control_signal_queue and _process_info in the main process.
-            # 2. Pass the above queue/dict as parameters to spawn and fork processes to transfer information
-            # between processes.
-            self._processes_manager = ForkProcessManager(
-                self._control_signal_queue,
-                self._flow_create_kwargs,
-                **common_kwargs,
-            )
-        else:
-            executor_creation_func = partial(FlowExecutor.create, **self._flow_create_kwargs)
-            # 1. Create input_queue, output_queue, and _process_info in the main process.
-            # 2. Spawn _n_process sub-process and pass the above queue/dict to these sub-process to transfer information
-            # between main process and sub process.
-            self._processes_manager = SpawnProcessManager(executor_creation_func, **common_kwargs)
-
-        self._processes_manager.start_processes()
-        self._processes_manager.ensure_healthy()
-
-        monitor_pool = ThreadPool(self._n_process, initializer=set_context, initargs=(contextvars.copy_context(),))
-        self._monitor_pool = monitor_pool
-
-        return self
-
-    def __exit__(self, exc_type, exc_val, exc_tb):
-        if self._monitor_pool is not None:
-            self._monitor_pool.close()
-            self._monitor_pool.join()
-
-    @property
-    def is_timeout(self):
-        return self._is_timeout
-
-    def _get_process_info(self, index):
-        start_time = time.time()
-        while True:
-            self._processes_manager.ensure_healthy()
-            try:
-                if time.time() - start_time > self._PROCESS_INFO_OBTAINED_TIMEOUT:
-                    raise ProcessInfoObtainedTimeout(self._PROCESS_INFO_OBTAINED_TIMEOUT)
-                # Try to get process id and name from the process_info
-                process_id = self._process_info[index].process_id
-                process_name = self._process_info[index].process_name
-                return (index, process_id, process_name)
-            except KeyError:
-                # If the process_info does not exist for the given index, it means the process have not ready yet,
-                # try again.
-                time.sleep(1)
-                continue
-            except Exception as e:
-                raise Exception(f"Unexpected error occurred while get process info. Exception: {e}")
-
-    def _ensure_process_terminated_within_timeout(self, process_id):
-        start_time = time.time()
-        while psutil.pid_exists(process_id):
-            if time.time() - start_time > self._PROCESS_TERMINATED_TIMEOUT:
-                raise ProcessTerminatedTimeout(self._PROCESS_TERMINATED_TIMEOUT)
-            time.sleep(1)
-
-    def _is_process_alive(self, process_id):
-        return psutil.pid_exists(process_id)
-
-    def _handle_output_queue_messages(self, output_queue: Queue, result_list: List[LineResult]):
-        try:
-            message = output_queue.get(timeout=1)
-            if isinstance(message, LineResult):
-                message = self._process_multimedia(message)
-                result_list.append(message)
-                return message
-            elif isinstance(message, FlowRunInfo):
-                self._storage.persist_flow_run(message)
-                return message
-            elif isinstance(message, NodeRunInfo):
-                self._storage.persist_node_run(message)
-                return message
-        except queue.Empty:
-            pass
-        return None
-
-    def _monitor_workers_and_process_tasks_in_thread(
-        self,
-        task_queue: Queue,
-        result_list: List[LineResult],
-        index: int,
-        input_queue: Queue,
-        output_queue: Queue,
-        batch_start_time: datetime,
-    ):
-        index, process_id, process_name = self._get_process_info(index)
-
-        # Entering the while loop requires two conditions:
-        # 1. The task queue is not empty, meaning there are lines yet to be executed.
-        # 2. The batch run has not reached the batch timeout limit.
-        while not self._batch_timeout_expired(batch_start_time):
-            self._processes_manager.ensure_healthy()
-            try:
-                # Get task from task_queue
-                inputs, line_number, run_id = task_queue.get(timeout=1)
-            except queue.Empty:
-                break
-
-            # Calculate the line timeout for the current line.
-            line_timeout_sec = self._line_timeout_sec
-            if self._batch_timeout_sec:
-                remaining_execution_time = (
-                    self._batch_timeout_sec - (datetime.utcnow() - batch_start_time).total_seconds()
-                )
-                if remaining_execution_time <= 0:
-                    self._is_timeout = True
-                    break
-                line_timeout_sec = min(line_timeout_sec, remaining_execution_time)
-
-            # Put task into input_queue
-            args = (inputs, line_number, run_id, line_timeout_sec)
-            input_queue.put(args)
-
-            self._processing_idx[line_number] = format_current_process_info(process_name, process_id, line_number)
-            log_process_status(process_name, process_id, line_number)
-
-            start_time = datetime.utcnow()
-            completed = False
-            crashed = False
-            returned_node_run_infos = {}
-
-            # Responsible for checking the output queue messages and processing them within a specified timeout period.
-            while not self._batch_timeout_expired(batch_start_time) and not self._line_timeout_expired(start_time):
-                # Monitor process aliveness.
-                crashed = not self._is_process_alive(process_id)
-                if crashed:
-                    break
-
-                # Handle output queue message.
-                message = self._handle_output_queue_messages(output_queue, result_list)
-                if isinstance(message, LineResult):
-                    completed = True
-                    break
-                if isinstance(message, NodeRunInfo):
-                    returned_node_run_infos[message.node] = message
-
-            # Handle line execution completed.
-            if completed:
-                self._completed_idx[line_number] = format_current_process_info(process_name, process_id, line_number)
-                log_process_status(process_name, process_id, line_number, is_completed=True)
-            # Handle line execution is not completed.
-            else:
-                ex = None
-                # Handle process crashed.
-                if crashed:
-                    bulk_logger.warning(f"Process crashed while executing line {line_number}.")
-                    ex = ProcessCrashError(line_number)
-                else:
-                    # Handle line execution timeout.
-                    if self._line_timeout_expired(start_time):
-                        bulk_logger.warning(f"Line {line_number} timeout after {self._line_timeout_sec} seconds.")
-                        ex = LineExecutionTimeoutError(line_number, self._line_timeout_sec)
-                    # Handle batch execution timeout.
-                    if self._batch_timeout_expired(batch_start_time):
-                        bulk_logger.warning(
-                            f"Line {line_number} execution terminated due to the total "
-                            f"batch run exceeding the batch timeout ({self._batch_timeout_sec}s)."
-                        )
-                        ex = BatchExecutionTimeoutError(line_number, self._batch_timeout_sec)
-                        # Set is_timeout to True if the batch run exceeds the batch timeout.
-                        self._is_timeout = True
-                # This branch should not be reached, add this warning for the case.
-                if ex is None:
-                    msg = f"Unexpected error occurred while monitoring line execution at line {line_number}."
-                    bulk_logger.warning(msg)
-                    ex = UnexpectedError(msg)
-
-                result = self._generate_line_result_for_exception(
-                    inputs,
-                    run_id,
-                    line_number,
-                    self._flow_id,
-                    start_time,
-                    ex,
-                    returned_node_run_infos,
-                )
-                result_list.append(result)
-
-                self._completed_idx[line_number] = format_current_process_info(process_name, process_id, line_number)
-                log_process_status(process_name, process_id, line_number, is_failed=True)
-
-                # If there are still tasks in the task_queue and the batch run does not exceed the batch timeout,
-                # restart a new process to execute the task.
-                run_finished = task_queue.empty() or self._batch_timeout_expired(batch_start_time)
-                if not run_finished:
-                    self._processes_manager.restart_process(index)
-                    # We need to ensure the process has been killed before continuing to execute.
-                    # Otherwise the process will receive new task, and during the execution, the process
-                    # is killed, which will result in the 'ProcessCrashError'.
-                    self._ensure_process_terminated_within_timeout(process_id)
-                    index, process_id, process_name = self._get_process_info(index)
-
-            self._processing_idx.pop(line_number)
-
-        # If the while loop exits due to batch run timeout, we should set is_timeout to True if we didn't set it before.
-        self._is_timeout = self._is_timeout or self._batch_timeout_expired(batch_start_time)
-
-        if not self._is_timeout:
-            input_queue.put(TERMINATE_SIGNAL)
-
-        # End the process when the batch timeout is exceeded or when all lines have been executed.
-        self._processes_manager.end_process(index)
-
-        # In fork mode, the main process and the sub spawn process communicate through _process_info.
-        # We need to ensure the process has been killed before returning. Otherwise, it may cause
-        # the main process have exited but the spawn process is still alive.
-        # At this time, a connection error will be reported.
-        self._ensure_process_terminated_within_timeout(process_id)
-
-    def _batch_timeout_expired(self, start_time: datetime) -> bool:
-        if self._batch_timeout_sec is None:
-            return False
-        return (datetime.utcnow() - start_time).total_seconds() > self._batch_timeout_sec + 10
-
-    def _line_timeout_expired(self, start_time: datetime) -> bool:
-        # Here we add more seconds because of the following reasons:
-        # 1. At the last second, there would be several timeout message from exec_line.
-        # 2. It may take time to create worker so actual timeout time may be longer.
-        return (datetime.utcnow() - start_time).total_seconds() > self._line_timeout_sec + 10
-
-    def _process_multimedia(self, result: LineResult) -> LineResult:
-        """Replace multimedia data in line result with string place holder to prevent OOM
-        and persist multimedia data in output when batch running."""
-        if not self._output_dir:
-            return result
-        self._process_multimedia_in_flow_run(result.run_info)
-        for node_name, node_run_info in result.node_run_infos.items():
-            result.node_run_infos[node_name] = self._process_multimedia_in_node_run(node_run_info)
-        result.output = persist_multimedia_data(result.output, self._output_dir)
-        return result
-
-    def _process_multimedia_in_run_info(self, run_info: Union[FlowRunInfo, NodeRunInfo]):
-        # Persist and convert images in inputs to path dictionaries.
-        # This replaces any image objects with their corresponding file path dictionaries.
-        if run_info.inputs:
-            run_info.inputs = self._persist_and_convert_images_to_path_dicts(run_info.inputs)
-
-        # Persist and convert images in output to path dictionaries.
-        # This replaces any image objects with their corresponding file path dictionaries.
-        if run_info.output:
-            serialized_output = self._persist_and_convert_images_to_path_dicts(run_info.output)
-            run_info.output = serialized_output
-            run_info.result = None
-
-        # Persist and convert images in api_calls to path dictionaries.
-        # The `inplace=True` parameter is used here to ensure that the original list structure holding generator outputs
-        # is maintained. This allows us to keep tracking the list as it dynamically changes when the generator is
-        # consumed. It is crucial to process the api_calls list in place to avoid losing the reference to the list that
-        # holds the generator items, which is essential for tracing generator execution.
-        if run_info.api_calls:
-            run_info.api_calls = self._persist_and_convert_images_to_path_dicts(run_info.api_calls, inplace=True)
-
-        return run_info
-
-    def _process_multimedia_in_flow_run(self, run_info: FlowRunInfo):
-        self._process_multimedia_in_run_info(run_info)
-
-    def _process_multimedia_in_node_run(self, run_info: NodeRunInfo):
-        run_info = self._process_multimedia_in_run_info(run_info)
-        return run_info
-
-    def _persist_and_convert_images_to_path_dicts(self, value, inplace=False):
-        serialization_funcs = {Image: partial(Image.serialize, **{"encoder": None})}
-        return _process_recursively(value, process_funcs=serialization_funcs, inplace=inplace)
-
-    def _generate_line_result_for_exception(
-        self,
-        inputs,
-        run_id,
-        line_number,
-        flow_id,
-        start_time,
-        ex,
-        node_run_infos={},
-    ) -> LineResult:
-        bulk_logger.error(f"Line {line_number}, Process {os.getpid()} failed with exception: {ex}")
-        run_info = FlowRunInfo(
-            run_id=f"{run_id}_{line_number}",
-            status=Status.Failed,
-            error=ExceptionPresenter.create(ex).to_dict(include_debug_info=True),
-            inputs=inputs,
-            output=None,
-            metrics=None,
-            request=None,
-            parent_run_id=run_id,
-            root_run_id=run_id,
-            source_run_id=None,
-            flow_id=flow_id,
-            start_time=start_time,
-            end_time=datetime.utcnow(),
-            index=line_number,
-        )
-        result = LineResult(
-            output={},
-            aggregation_inputs={},
-            run_info=run_info,
-            node_run_infos=node_run_infos,
-        )
-        # TODO: There is a corner case that the run info is persisted in the subprocess when timeouted,
-        # while we also persist the run info here. This may cause duplicate run info in the storage.
-        # We need to find a way to avoid this.
-        self._storage.persist_flow_run(result.run_info)
-        return result
-
-    def run(self, batch_inputs):
-        for index, inputs in batch_inputs:
-            self._task_queue.put(
-                (
-                    inputs,
-                    index,
-                    self._run_id,
-                )
-            )
-
-        result_list = []
-        run_start_time = datetime.utcnow()
-
-        with RepeatLogTimer(
-            interval_seconds=self._log_interval,
-            logger=bulk_logger,
-            level=INFO,
-            log_message_function=self._generate_thread_status_messages,
-            args=(
-                self._monitor_pool,
-                self._nlines,
-            ),
-        ):
-            try:
-                batch_start_time = datetime.utcnow()
-                args_list = [
-                    (
-                        self._task_queue,  # Shared task queue for all sub processes to read the input data.
-                        result_list,  # Line result list of the batch run.
-                        i,  # Index of the sub process.
-                        # Specific input queue for sub process, used to send input data to it.
-                        self._input_queues[i],
-                        # Specific output queue for the sub process, used to receive results from it.
-                        self._output_queues[i],
-                        batch_start_time,
-                    )
-                    for i in range(self._n_process)
-                ]
-
-                # The variable 'async_result' here is not the actual result of the batch run
-                # but an AsyncResult object that can be used to check if the execution are finished
-                # The actual results of the batch run are stored in 'result_list'
-
-                # Create _n_process monitoring threads, mainly used to assign tasks and receive line result.
-                # When task_queue is empty, end the process.
-                # When line execution timeout or process crash, restart the process.
-                async_result = self._monitor_pool.starmap_async(
-                    self._monitor_workers_and_process_tasks_in_thread, args_list
-                )
-
-                try:
-                    # Only log when the number of results changes to avoid duplicate logging.
-                    last_log_count = 0
-                    # Wait for batch run to complete or KeyboardInterrupt
-                    while not async_result.ready():
-                        current_result_count = len(result_list)
-                        if current_result_count != last_log_count:
-                            log_progress(
-                                run_start_time=run_start_time,
-                                logger=bulk_logger,
-                                count=len(result_list),
-                                total_count=self._nlines,
-                            )
-                            last_log_count = current_result_count
-                        # Check every 1 second
-                        async_result.wait(1)
-                    # To ensure exceptions in thread-pool calls are propagated to the main process for proper handling
-                    # The exceptions raised will be re-raised by the get() method.
-                    # Related link:
-                    # https://docs.python.org/3/library/multiprocessing.html#multiprocessing.pool.AsyncResult
-                    async_result.get()
-                except KeyboardInterrupt:
-                    raise
-            except PromptflowException:
-                raise
-            except Exception as e:
-                bulk_logger.error(f"ProcessPool failed with exception: {e}")
-                raise ProcessPoolError(
-                    message_format=f"ProcessPool failed with exception: {e}",
-                    target=ErrorTarget.EXECUTOR,
-                ) from e
-        return result_list
-
-    def _generate_thread_status_messages(self, pool: ThreadPool, total_count: int):
-        msgs = []
-        active_threads = sum(thread.is_alive() for thread in pool._pool)
-        msgs.append(f"[Process Pool] [Active processes: {active_threads} / {len(pool._pool)}]")
-        processing_lines_copy = self._processing_idx.copy()
-        completed_lines_copy = self._completed_idx.copy()
-        msgs.append(
-            f"[Lines] [Finished: {len(completed_lines_copy)}] [Processing: {len(processing_lines_copy)}] "
-            f"[Pending: {total_count - len(processing_lines_copy) - len(completed_lines_copy)}]"
-        )
-        lines = []
-        for idx, thread_name in sorted(processing_lines_copy.items()):
-            lines.append(f"line {idx} ({thread_name})")
-        if len(lines) > 0:
-            msgs.append("Processing Lines: " + ", ".join(lines) + ".")
-        return msgs
-
-    def _determine_worker_count(self, worker_count):
-        # Starting a new process in non-fork mode requires to allocate memory.
-        # Calculate the maximum number of processes based on available memory to avoid memory bursting.
-        estimated_available_worker_count = get_available_max_worker_count() if not self._use_fork else None
-
-        # If the environment variable PF_WORKER_COUNT exists and valid, use the value as the worker_count.
-        if worker_count is not None and worker_count > 0:
-            self._log_set_worker_count(worker_count, estimated_available_worker_count)
-            return worker_count
-
-        # If the environment variable PF_WORKER_COUNT is not set or invalid, take the minimum value among the
-        # factors: default_worker_count, row_count and estimated_worker_count_based_on_memory_usage
-        factors = {
-            "default_worker_count": self._DEFAULT_WORKER_COUNT,
-            "row_count": self._nlines,
-            "estimated_worker_count_based_on_memory_usage": estimated_available_worker_count,
-        }
-
-        valid_factors = {k: v for k, v in factors.items() if v is not None and v > 0}
-
-        # Take the minimum value as the result
-        worker_count = min(valid_factors.values())
-        bulk_logger.info(
-            f"Set process count to {worker_count} by taking the minimum value among the factors of {valid_factors}."
-        )
-        return worker_count
-
-    def _log_set_worker_count(self, worker_count, estimated_available_worker_count):
-        bulk_logger.info(f"Set process count to {worker_count}.")
-        if estimated_available_worker_count is not None and estimated_available_worker_count < worker_count:
-            bulk_logger.warning(
-                f"The current process count ({worker_count}) is larger than recommended process count "
-                f"({estimated_available_worker_count}) that estimated by system available memory. This may "
-                f"cause memory exhaustion"
-            )
-
-
-def _exec_line(
-    executor: FlowExecutor, output_queue: Queue, *, inputs: dict, run_id: str, index: int, line_timeout_sec: int
-):
-    try:
-        line_result = executor.exec_line(
-            inputs=inputs,
-            run_id=run_id,
-            index=index,
-            node_concurrency=DEFAULT_CONCURRENCY_BULK,
-            line_timeout_sec=line_timeout_sec,
-        )
-        if line_result is not None:
-            # For eager flow, the output may be a dataclass which is not picklable, we need to convert it to dict.
-            if not isinstance(line_result.output, dict):
-                line_result.output = convert_eager_flow_output_to_dict(line_result.output)
-            line_result.output.pop(LINE_NUMBER_KEY, None)
-        # TODO: Put serialized line result into queue to catch serialization error beforehand.
-        # Otherwise it might cause the process to hang, e.g, line failed because output is not seralizable.
-        if line_result is not None and line_result.run_info.status == Status.Failed:
-            line_result.output = {}
-        return line_result
-    except Exception as e:
-        bulk_logger.error(f"Line {index}, Process {os.getpid()} failed with exception: {e}")
-        flow_id = executor._flow_id
-        line_run_id = run_id if index is None else f"{run_id}_{index}"
-        # If line execution failed before start, there is no flow information in the run_tracker.
-        # So we call start_flow_run before handling exception to make sure the run_tracker has flow info.
-        if isinstance(executor, ScriptExecutor):
-            run_tracker = RunTracker(executor._storage)
-        else:
-            run_tracker = executor._run_tracker
-        run_tracker.start_flow_run(flow_id, run_id, line_run_id, run_id)
-        run_info = run_tracker.end_run(f"{run_id}_{index}", ex=e)
-        output_queue.put(run_info)
-        result = LineResult(
-            output={},
-            aggregation_inputs={},
-            run_info=run_info,
-            node_run_infos={},
-        )
-        return result
-
-
-def _process_wrapper(
-    executor_creation_func,
-    input_queue: Queue,
-    output_queue: Queue,
-    log_context_initialization_func,
-    operation_contexts_dict: dict,
-):
-    if threading.current_thread() is threading.main_thread():
-        signal.signal(signal.SIGINT, signal_handler)
-    else:
-        bulk_logger.info("Current thread is not main thread, skip signal handler registration in batch process pool.")
-    OperationContext.get_instance().update(operation_contexts_dict)  # Update the operation context for the new process.
-
-    # set up OpenTelemetry exporter in process who executes the line
-    from promptflow.tracing._start_trace import setup_exporter_from_environ
-
-    setup_exporter_from_environ()
-
-    if log_context_initialization_func:
-        with log_context_initialization_func():
-            exec_line_for_queue(executor_creation_func, input_queue, output_queue)
-    else:
-        exec_line_for_queue(executor_creation_func, input_queue, output_queue)
-
-
-def create_executor_fork(*, flow_executor: FlowExecutor, storage: AbstractRunStorage):
-    if isinstance(flow_executor, ScriptExecutor):
-        return ScriptExecutor(
-            flow_file=flow_executor._flow_file,
-            connections=flow_executor._connections,
-            working_dir=flow_executor._working_dir,
-            storage=storage,
-        )
-    else:
-        run_tracker = RunTracker(run_storage=storage)
-        return FlowExecutor(
-            flow=flow_executor._flow,
-            connections=flow_executor._connections,
-            run_tracker=run_tracker,
-            cache_manager=flow_executor._cache_manager,
-            loaded_tools=flow_executor._loaded_tools,
-            raise_ex=False,
-            line_timeout_sec=flow_executor._line_timeout_sec,
-        )
-
-
-def exec_line_for_queue(executor_creation_func, input_queue: Queue, output_queue: Queue):
-    run_storage = QueueRunStorage(output_queue)
-    executor: FlowExecutor = executor_creation_func(storage=run_storage)
-
-    while True:
-        try:
-            data = input_queue.get(timeout=1)
-            if data == TERMINATE_SIGNAL:
-                # Add try catch in case of shutdown method is not implemented in the tracer provider.
-                try:
-                    import opentelemetry.trace as otel_trace
-
-                    # Meet span missing issue when end process normally (even add wait() when end it).
-                    # Shutdown the tracer provider to flush the remaining spans.
-                    # The tracer provider is created for each process, so it's ok to shutdown it here.
-                    otel_trace.get_tracer_provider().shutdown()
-                except Exception as e:
-                    bulk_logger.warning(f"Error occurred while shutting down tracer provider: {e}")
-
-                # If found the terminate signal, exit the process.
-                break
-            inputs, line_number, run_id, line_timeout_sec = data
-            result = _exec_line(
-                executor=executor,
-                output_queue=output_queue,
-                inputs=inputs,
-                run_id=run_id,
-                index=line_number,
-                line_timeout_sec=line_timeout_sec,
-            )
-            output_queue.put(result)
-        except queue.Empty:
-            # Do nothing until the input_queue have content or process is killed
-            # TODO: Exit the process more gracefully.
-            pass
-
-
-def get_available_max_worker_count():
-    pid = os.getpid()
-    mem_info = psutil.virtual_memory()
-    available_memory = mem_info.available / (1024 * 1024)  # in MB
-    process = psutil.Process(pid)
-    process_memory_info = process.memory_info()
-    process_memory = process_memory_info.rss / (1024 * 1024)  # in MB
-    estimated_available_worker_count = int(available_memory // process_memory)
-    if estimated_available_worker_count < 1:
-        # TODO: For the case of vector db, Optimize execution logic
-        # 1. Let the main process not consume memory because it does not actually invoke
-        # 2. When the degree of parallelism is 1, main process executes the task directly and not
-        #  create the child process
-        bulk_logger.warning(
-            f"Current system's available memory is {available_memory}MB, less than the memory "
-            f"{process_memory}MB required by the process. The maximum available worker count is 1."
-        )
-        estimated_available_worker_count = 1
-    else:
-        bulk_logger.info(
-            f"Current system's available memory is {available_memory}MB, "
-            f"memory consumption of current process is {process_memory}MB, "
-            f"estimated available worker count is {available_memory}/{process_memory} "
-            f"= {estimated_available_worker_count}"
-        )
-    return estimated_available_worker_count
diff --git a/src/promptflow/promptflow/executor/_service/utils/process_manager.py b/src/promptflow/promptflow/executor/_service/utils/process_manager.py
deleted file mode 100644
index 037d236263b..00000000000
--- a/src/promptflow/promptflow/executor/_service/utils/process_manager.py
+++ /dev/null
@@ -1,55 +0,0 @@
-# ---------------------------------------------------------
-# Copyright (c) Microsoft Corporation. All rights reserved.
-# ---------------------------------------------------------
-
-import signal
-from typing import Dict
-
-import psutil
-
-from promptflow._utils.logger_utils import service_logger
-
-
-class ProcessManager:
-    _instance = None
-    _processes_mapping: Dict[str, int]
-
-    def __new__(cls, *args, **kwargs):
-        if cls._instance is None:
-            cls._instance = super(ProcessManager, cls).__new__(cls)
-            cls._instance._processes_mapping = {}
-        return cls._instance
-
-    def start_process(self, run_id: str, process_id: int):
-        self._processes_mapping[run_id] = process_id
-
-    def get_process(self, run_id: str):
-        return self._processes_mapping.get(run_id, None)
-
-    def remove_process(self, run_id: str):
-        self._processes_mapping.pop(run_id, None)
-
-    def end_process(self, run_id: str):
-        process_id = self._processes_mapping.pop(run_id, None)
-        if process_id:
-            try:
-                process = psutil.Process(process_id)
-                if process.is_running():
-                    process.send_signal(signal.SIGINT)
-                    service_logger.info(f"Kill process[{process.pid}] for run[{run_id}] with SIGINT.")
-                    # wait for 30s for executor process to gracefully shutdown
-                    process.wait(timeout=30)
-                    service_logger.info(f"Successfully terminated process[{process.pid}] for run[{run_id}].")
-                else:
-                    service_logger.info(f"Process[{process.pid}] for run[{run_id}] is already terminated.")
-            except psutil.TimeoutExpired:
-                if process.is_running():
-                    # force kill if still alive
-                    process.send_signal(signal.SIGKILL)
-                    service_logger.info(f"Kill process[{process.pid}] for run[{run_id}] with SIGKILL.")
-            except psutil.NoSuchProcess:
-                service_logger.warning(
-                    f"Process[{process.pid}] for run[{run_id}] not found, it might have already terminated."
-                )
-        else:
-            service_logger.info(f"Process for run[{run_id}] not found in mapping, it may have already been removed.")
diff --git a/src/promptflow/promptflow/tracing/_start_trace.py b/src/promptflow/promptflow/tracing/_start_trace.py
deleted file mode 100644
index bdd540081f0..00000000000
--- a/src/promptflow/promptflow/tracing/_start_trace.py
+++ /dev/null
@@ -1,335 +0,0 @@
-# ---------------------------------------------------------
-# Copyright (c) Microsoft Corporation. All rights reserved.
-# ---------------------------------------------------------
-import json
-import os
-import typing
-import urllib.parse
-import uuid
-
-from opentelemetry import trace
-from opentelemetry.exporter.otlp.proto.http.trace_exporter import OTLPSpanExporter
-from opentelemetry.sdk.environment_variables import OTEL_EXPORTER_OTLP_ENDPOINT
-from opentelemetry.sdk.resources import Resource
-from opentelemetry.sdk.trace import TracerProvider
-from opentelemetry.sdk.trace.export import BatchSpanProcessor
-
-from promptflow._constants import (
-    OTEL_RESOURCE_SERVICE_NAME,
-    SpanAttributeFieldName,
-    SpanResourceAttributesFieldName,
-    TraceEnvironmentVariableName,
-)
-from promptflow._core.operation_context import OperationContext
-from promptflow._sdk._configuration import Configuration
-from promptflow._sdk._constants import PF_TRACE_CONTEXT, AzureMLWorkspaceTriad
-from promptflow._sdk._service.utils.utils import is_pfs_service_healthy
-from promptflow._sdk._utils import extract_workspace_triad_from_trace_provider
-from promptflow._utils.logger_utils import get_cli_sdk_logger
-from promptflow.tracing._constants import PF_TRACING_SKIP_LOCAL_SETUP
-
-from ._openai_injector import inject_openai_api
-
-_logger = get_cli_sdk_logger()
-
-
-def start_trace(*, session: typing.Optional[str] = None, **kwargs):
-    """Start a tracing session.
-
-    This will capture OpenAI and prompt flow related calls and persist traces;
-    it will also provide a UI url for user to visualize traces details.
-
-    Note that this function is still under preview, and may change at any time.
-    """
-    # trace is currently a preview feature, users should explicitly enable to use it
-    if Configuration.get_instance().is_internal_features_enabled() is False:
-        warning_message = (
-            "`start_trace` is currently a preview feature, "
-            'please enable it with `pf config set enable_internal_features="true"`'
-        )
-        _logger.warning(warning_message)
-        return
-
-    from promptflow._sdk._constants import ContextAttributeKey
-
-    # set strict limitation for session id currently
-    if session is not None:
-        _validate_session_id(session)
-    session_id = _provision_session_id(specified_session_id=session)
-    _logger.debug("current session id is %s", session_id)
-
-    operation_context = OperationContext.get_instance()
-
-    # honor and set attributes if user has specified
-    attributes: dict = kwargs.get("attributes", None)
-    if attributes is not None:
-        _logger.debug("User specified attributes: %s", attributes)
-        for attr_key, attr_value in attributes.items():
-            operation_context._add_otel_attributes(attr_key, attr_value)
-
-    # prompt flow related, retrieve `experiment` and `referenced.line_run_id`
-    env_trace_context = os.environ.get(PF_TRACE_CONTEXT, None)
-    _logger.debug("Read trace context from environment: %s", env_trace_context)
-    env_attributes = json.loads(env_trace_context).get("attributes") if env_trace_context else {}
-    experiment = env_attributes.get(ContextAttributeKey.EXPERIMENT, None)
-    ref_line_run_id = env_attributes.get(ContextAttributeKey.REFERENCED_LINE_RUN_ID, None)
-    # Remove reference line run id if it's None to avoid stale value set by previous node
-    if ref_line_run_id is None:
-        operation_context._remove_otel_attributes(SpanAttributeFieldName.REFERENCED_LINE_RUN_ID)
-    else:
-        operation_context._add_otel_attributes(SpanAttributeFieldName.REFERENCED_LINE_RUN_ID, ref_line_run_id)
-
-    if _skip_tracing_local_setup():
-        _logger.debug("Environment variable {PF_TRACING_SKIP_LOCAL_SETUP!r} is set, skip local setup for tracing.")
-        return
-
-    _tracing_local_setup(
-        session_id=session_id,
-        session_id_configured=session is not None,
-        experiment=experiment,
-        run=kwargs.get("run", None),
-    )
-
-
-def _skip_tracing_local_setup() -> bool:
-    return str(os.getenv(PF_TRACING_SKIP_LOCAL_SETUP, "false")).lower() == "true"
-
-
-def _tracing_local_setup(
-    session_id: str,
-    session_id_configured: bool,
-    experiment: typing.Optional[str],
-    run: typing.Optional[str],
-) -> None:
-    """Local setup for tracing.
-
-    The setup includes:
-      1. invoke local prompt flow service
-      2. prepare OTLP exporter required environment variables
-      3. check whether local to cloud feature is enabled
-      4. print trace UI url(s)
-    Executor calls `setup_exporter_from_environ` to setup exporter from environment variables.
-    """
-    from promptflow._sdk._service.utils.utils import get_port_from_config
-
-    # invoke local prompt flow service
-    pfs_port = get_port_from_config(create_if_not_exists=True)
-    _start_pfs(pfs_port)
-    _logger.debug("Promptflow service is serving on port %s", pfs_port)
-
-    # check whether local to cloud feature is enabled: trace provider from pf config
-    workspace_triad = _get_workspace_triad_from_config()
-
-    # prepare OTLP exporter required environment variables
-    # init the global tracer with endpoint
-    _init_otel_trace_exporter(
-        otlp_port=pfs_port,
-        session_id=session_id,
-        experiment=experiment,
-        workspace_triad=workspace_triad,
-    )
-
-    # print trace UI url(s)
-    print_url_kwargs = {
-        "session_configured": session_id_configured,
-        "experiment": experiment,
-        "run": run,
-        "session_id": session_id,
-    }
-    _print_trace_url_for_local(pfs_port=pfs_port, **print_url_kwargs)
-    _print_trace_url_for_local_to_cloud(workspace_triad=workspace_triad, **print_url_kwargs)
-
-
-def _start_pfs(pfs_port) -> None:
-    from promptflow._sdk._service.entry import entry
-    from promptflow._sdk._service.utils.utils import is_port_in_use
-
-    command_args = ["start", "--port", str(pfs_port)]
-    if is_port_in_use(pfs_port):
-        is_healthy = is_pfs_service_healthy(pfs_port)
-        if not is_healthy:
-            command_args += ["--force"]
-        else:
-            return
-    entry(command_args)
-
-
-def _is_tracer_provider_configured() -> bool:
-    # if tracer provider is configured, `tracer_provider` should be an instance of `TracerProvider`;
-    # otherwise, it should be an instance of `ProxyTracerProvider`
-    tracer_provider = trace.get_tracer_provider()
-    return isinstance(tracer_provider, TracerProvider)
-
-
-def _provision_session_id(specified_session_id: typing.Optional[str]) -> str:
-    # check if session id is configured in tracer provider
-    configured_session_id = None
-    if _is_tracer_provider_configured():
-        tracer_provider: TracerProvider = trace.get_tracer_provider()
-        configured_session_id = tracer_provider._resource.attributes[SpanResourceAttributesFieldName.SESSION_ID]
-
-    if specified_session_id is None and configured_session_id is None:
-        # user does not specify and not configured, provision a new one
-        session_id = str(uuid.uuid4())
-    elif specified_session_id is None and configured_session_id is not None:
-        # user does not specify, but already configured, use the configured one
-        session_id = configured_session_id
-    elif specified_session_id is not None and configured_session_id is None:
-        # user specified, but not configured, use the specified one
-        session_id = specified_session_id
-    else:
-        # user specified while configured, log warnings and honor the configured one
-        session_id = configured_session_id
-        warning_message = (
-            f"Session is already configured with id: {session_id!r}, "
-            "we will honor it within current process; "
-            "if you expect another session, please specify it in another process."
-        )
-        _logger.warning(warning_message)
-    return session_id
-
-
-def _create_resource(
-    session_id: str,
-    experiment: typing.Optional[str] = None,
-    workspace_triad: typing.Optional[AzureMLWorkspaceTriad] = None,
-) -> Resource:
-    resource_attributes = {
-        SpanResourceAttributesFieldName.SERVICE_NAME: OTEL_RESOURCE_SERVICE_NAME,
-        SpanResourceAttributesFieldName.SESSION_ID: session_id,
-    }
-    if experiment is not None:
-        resource_attributes[SpanResourceAttributesFieldName.EXPERIMENT_NAME] = experiment
-    if workspace_triad is not None:
-        resource_attributes[SpanResourceAttributesFieldName.SUBSCRIPTION_ID] = workspace_triad.subscription_id
-        resource_attributes[SpanResourceAttributesFieldName.RESOURCE_GROUP_NAME] = workspace_triad.resource_group_name
-        resource_attributes[SpanResourceAttributesFieldName.WORKSPACE_NAME] = workspace_triad.workspace_name
-    return Resource(attributes=resource_attributes)
-
-
-def setup_exporter_from_environ() -> None:
-    # openai instrumentation
-    # in eager mode, the code cannot reach executor logic to apply injection
-    # explicitly inject here, so that it can work in new process/thread
-    inject_openai_api()
-    # if session id does not exist in environment variables, it should be in runtime environment
-    # where we have not supported tracing yet, so we don't need to setup any exporter here
-    # directly return
-    if TraceEnvironmentVariableName.SESSION_ID not in os.environ:
-        return
-    if _is_tracer_provider_configured():
-        _logger.debug("tracer provider is already configured, skip setting up again.")
-        return
-
-    # get resource values from environment variables
-    session_id = os.getenv(TraceEnvironmentVariableName.SESSION_ID)
-    experiment = os.getenv(TraceEnvironmentVariableName.EXPERIMENT, None)
-    # local to cloud: trace provider
-    workspace_triad = None
-    subscription_id = os.getenv(TraceEnvironmentVariableName.SUBSCRIPTION_ID, None)
-    resource_group_name = os.getenv(TraceEnvironmentVariableName.RESOURCE_GROUP_NAME, None)
-    workspace_name = os.getenv(TraceEnvironmentVariableName.WORKSPACE_NAME, None)
-    if all([subscription_id, resource_group_name, workspace_name]):
-        workspace_triad = AzureMLWorkspaceTriad(
-            subscription_id=subscription_id,
-            resource_group_name=resource_group_name,
-            workspace_name=workspace_name,
-        )
-    # create resource
-    resource = _create_resource(
-        session_id=session_id,
-        experiment=experiment,
-        workspace_triad=workspace_triad,
-    )
-    tracer_provider = TracerProvider(resource=resource)
-    # get OTLP endpoint from environment variable
-    endpoint = os.getenv(OTEL_EXPORTER_OTLP_ENDPOINT)
-    # Set timeout as 30 seconds since creating cosmosDB client is time consuming
-    otlp_span_exporter = OTLPSpanExporter(endpoint=endpoint, timeout=30)
-    tracer_provider.add_span_processor(BatchSpanProcessor(otlp_span_exporter))
-    trace.set_tracer_provider(tracer_provider)
-
-
-def _init_otel_trace_exporter(
-    otlp_port: str,
-    session_id: str,
-    experiment: typing.Optional[str] = None,
-    workspace_triad: typing.Optional[AzureMLWorkspaceTriad] = None,
-) -> None:
-    endpoint = f"http://localhost:{otlp_port}/v1/traces"
-    os.environ[OTEL_EXPORTER_OTLP_ENDPOINT] = endpoint
-    os.environ[TraceEnvironmentVariableName.SESSION_ID] = session_id
-    if experiment is not None:
-        os.environ[TraceEnvironmentVariableName.EXPERIMENT] = experiment
-    if workspace_triad is not None:
-        os.environ[TraceEnvironmentVariableName.SUBSCRIPTION_ID] = workspace_triad.subscription_id
-        os.environ[TraceEnvironmentVariableName.RESOURCE_GROUP_NAME] = workspace_triad.resource_group_name
-        os.environ[TraceEnvironmentVariableName.WORKSPACE_NAME] = workspace_triad.workspace_name
-    setup_exporter_from_environ()
-
-
-# priority: run > experiment > session
-# for run(s) in experiment, we should print url with run(s) as it is more specific;
-# and url with experiment should be printed at the beginning of experiment start.
-# session id is the concept we expect to expose to users least, so it should have the lowest priority.
-def _print_trace_url_for_local(
-    pfs_port: str,
-    session_configured: bool,
-    experiment: typing.Optional[str] = None,
-    run: typing.Optional[str] = None,
-    session_id: typing.Optional[str] = None,
-) -> None:
-    url = f"http://localhost:{pfs_port}/v1.0/ui/traces"
-    if run is not None:
-        url += f"?run={run}"
-    elif experiment is not None:
-        url += f"?experiment={experiment}"
-    elif session_configured and session_id is not None:
-        url += f"?session={session_id}"
-    print(f"You can view the trace from local PFS: {url}")
-
-
-def _print_trace_url_for_local_to_cloud(
-    workspace_triad: typing.Optional[AzureMLWorkspaceTriad],
-    session_configured: bool,
-    experiment: typing.Optional[str] = None,
-    run: typing.Optional[str] = None,
-    session_id: typing.Optional[str] = None,
-) -> None:
-    # if user has configured trace.provider, we can extract workspace triad from it
-    # this indicates local to cloud feature is enabled, then print the url in portal
-    if workspace_triad is None:
-        return
-    # &searchText={"sessionId":"8baa9e34-3d23-497a-8ec8-39b84cdb7a40","batchRunId":"test_main_variant_0_20240229_111938_229535"}
-    url = (
-        "https://int.ml.azure.com/prompts/trace/list"
-        f"?wsid=/subscriptions/{workspace_triad.subscription_id}"
-        f"/resourceGroups/{workspace_triad.resource_group_name}"
-        "/providers/Microsoft.MachineLearningServices"
-        f"/workspaces/{workspace_triad.workspace_name}"
-    )
-    query = None
-    if run is not None:
-        query = '{"batchRunId":"' + run + '"}'
-    elif experiment is not None:
-        # not consider experiment for now
-        pass
-    elif session_configured and session_id is not None:
-        query = '{"sessionId":"' + session_id + '"}'
-    # urllib.parse.quote to encode the query parameter
-    if query is not None:
-        url += f"&searchText={urllib.parse.quote(query)}"
-    print(f"You can view the trace in cloud from Azure portal: {url}")
-
-
-def _get_workspace_triad_from_config() -> typing.Optional[AzureMLWorkspaceTriad]:
-    trace_provider = Configuration.get_instance().get_trace_provider()
-    if trace_provider is None:
-        return None
-    return extract_workspace_triad_from_trace_provider(trace_provider)
-
-
-def _validate_session_id(value: str) -> None:
-    # session id should only contain `[A-Z, a-z, 0-9, _, -]`` for now
-    if not value.replace("-", "").replace("_", "").isalnum():
-        raise ValueError("session id should only contain `[A-Z, a-z, 0-9, _, -]` for now.")
diff --git a/src/promptflow/pyproject.toml b/src/promptflow/pyproject.toml
index 58fd2db31e7..9efab9c4e6e 100644
--- a/src/promptflow/pyproject.toml
+++ b/src/promptflow/pyproject.toml
@@ -1,3 +1,23 @@
+# [build-system]
+# requires = ["poetry-core>=1.5.0"]
+# build-backend = "poetry.core.masonry.api"
+
+# # poetry
+# [tool.poetry]
+# name = "promptflow"
+# version = "1.7.0.dev0"
+# description = "Prompt flow Python SDK - build high-quality LLM apps"
+# authors = [
+#   "Microsoft Corporation <aml-pt-eng@microsoft.com>"
+# ]
+
+# [tool.poetry.dependencies]
+# python = "<4.0,>=3.8"
+# promptflow-tracing = { path = "../promptflow-tracing", develop = true }
+# promptflow-core = { path = "../promptflow-core", develop = true }
+# promptflow-devkit = { path = "../promptflow-devkit", develop = true }
+# promptflow-azure = { path = "../promptflow-azure", develop = true }
+
 [tool.black]
 line-length = 120
 
diff --git a/src/promptflow/setup.py b/src/promptflow/setup.py
index 41d305db479..72a80b619fa 100644
--- a/src/promptflow/setup.py
+++ b/src/promptflow/setup.py
@@ -21,38 +21,9 @@
     changelog = f.read()
 
 REQUIRES = [
-    "psutil",  # get process information when bulk run
-    "httpx>=0.25.1",  # used to send http requests asynchronously
-    "openai",  # promptflow._core.api_injector
-    "flask>=2.2.3,<4.0.0",  # Serving endpoint requirements
-    "sqlalchemy>=1.4.48,<3.0.0",  # sqlite requirements
-    # note that pandas 1.5.3 is the only version to test in ci before promptflow 0.1.0b7 is released
-    # and pandas 2.x.x will be the only version to test in ci after that.
-    "pandas>=1.5.3,<3.0.0",  # load data requirements
-    "python-dotenv>=1.0.0,<2.0.0",  # control plane sdk requirements, to load .env file
-    "keyring>=24.2.0,<25.0.0",  # control plane sdk requirements, to access system keyring service
-    "pydash>=6.0.0,<8.0.0",  # control plane sdk requirements, to support parameter overrides in schema.
-    # vulnerability: https://github.com/advisories/GHSA-5cpq-8wj7-hf2v
-    "cryptography>=42.0.4",  # control plane sdk requirements to support connection encryption
-    "colorama>=0.4.6,<0.5.0",  # producing colored terminal text for testing chat flow
-    "tabulate>=0.9.0,<1.0.0",  # control plane sdk requirements, to print table in console
-    "filelock>=3.4.0,<4.0.0",  # control plane sdk requirements, to lock for multiprocessing
-    # We need to pin the version due to the issue: https://github.com/hwchase17/langchain/issues/5113
-    "marshmallow>=3.5,<4.0.0",
-    "gitpython>=3.1.24,<4.0.0",  # used git info to generate flow id
-    "tiktoken>=0.4.0",
-    "strictyaml>=1.5.0,<2.0.0",  # used to identify exact location of validation error
-    "waitress>=2.1.2,<3.0.0",  # used to serve local service
-    "azure-monitor-opentelemetry-exporter>=1.0.0b21,<2.0.0",
-    "ruamel.yaml>=0.17.10,<1.0.0",  # used to generate connection templates with preserved comments
-    "pyarrow>=14.0.1,<15.0.0",  # used to read parquet file with pandas.read_parquet
-    "pillow>=10.1.0,<11.0.0",  # used to generate icon data URI for package tool
-    "filetype>=1.2.0",  # used to detect the mime type for mulitmedia input
-    "jsonschema>=4.0.0,<5.0.0",  # used to validate tool
-    "docutils",  # used to generate description for tools
-    "opentelemetry-exporter-otlp-proto-http>=1.22.0,<2.0.0",  # trace support
-    "flask-restx>=1.2.0,<2.0.0",  # PFS Swagger
-    "flask-cors>=4.0.0,<5.0.0",  # handle PFS CORS
+    "promptflow-tracing>=1.0.0",  # tracing capabilities
+    "promptflow-core",  # core capabilities
+    "promptflow-devkit",  # devkit capabilities
 ]
 
 setup(
@@ -79,35 +50,21 @@
     python_requires="<4.0,>=3.8",
     install_requires=REQUIRES,
     extras_require={
-        "azure": [
-            "azure-core>=1.26.4,<2.0.0",
-            "azure-storage-blob[aio]>=12.13.0,<13.0.0",  # add [aio] for async run download feature
-            "azure-identity>=1.12.0,<2.0.0",
-            "azure-ai-ml>=1.11.0,<2.0.0",
-            "pyjwt>=2.4.0,<3.0.0",  # requirement of control plane SDK
-            "azure-cosmos>=4.5.1,<5.0.0",  # used to upload trace to cloud
+        "all": [
+            "promptflow-core[executor-service]",
+            "promptflow-devkit[all]",
+            "promptflow-azure",
         ],
-        "executable": ["pyinstaller>=5.13.2", "streamlit>=1.26.0", "streamlit-quill<0.1.0", "bs4"],
+        "azure": ["promptflow-azure"],
+        "executable": ["promptflow-devkit[executable]"],
         "azureml-serving": [
-            # AzureML connection dependencies
-            "azure-identity>=1.12.0,<2.0.0",
-            "azure-ai-ml>=1.11.0,<2.0.0",
-            "azure-monitor-opentelemetry-exporter>=1.0.0b21,<2.0.0",
-            # MDC dependencies for monitoring
-            "azureml-ai-monitoring>=0.1.0b3,<1.0.0",
+            "promptflow-core[azureml-serving]",
         ],
         "executor-service": [
-            "fastapi>=0.109.0,<1.0.0",  # used to build web executor server
+            "promptflow-core[executor-service]",  # used to build web executor server
         ],
     },
     packages=find_packages(),
-    scripts=["pf", "pf.bat"],
-    entry_points={
-        "console_scripts": [
-            "pfazure = promptflow._cli._pf_azure.entry:main",
-            "pfs = promptflow._sdk._service.entry:main",
-        ],
-    },
     include_package_data=True,
     project_urls={
         "Bug Reports": "https://github.com/microsoft/promptflow/issues",
diff --git a/src/promptflow/tests/conftest.py b/src/promptflow/tests/conftest.py
index 62000da24ef..2eadd0c9e23 100644
--- a/src/promptflow/tests/conftest.py
+++ b/src/promptflow/tests/conftest.py
@@ -7,27 +7,17 @@
 from unittest.mock import MagicMock, patch
 
 import pytest
-from _constants import (
-    CONNECTION_FILE,
-    DEFAULT_COMPUTE_INSTANCE_NAME,
-    DEFAULT_REGISTRY_NAME,
-    DEFAULT_RESOURCE_GROUP_NAME,
-    DEFAULT_RUNTIME_NAME,
-    DEFAULT_SUBSCRIPTION_ID,
-    DEFAULT_WORKSPACE_NAME,
-    ENV_FILE,
-)
+from _constants import CONNECTION_FILE, ENV_FILE
 from _pytest.monkeypatch import MonkeyPatch
 from dotenv import load_dotenv
 from filelock import FileLock
 from pytest_mock import MockerFixture
-from sdk_cli_azure_test.recording_utilities import SanitizedValues, is_replay
 
 from promptflow._cli._utils import AzureMLWorkspaceTriad
 from promptflow._constants import PROMPTFLOW_CONNECTIONS
 from promptflow._core.connection_manager import ConnectionManager
 from promptflow._utils.context_utils import _change_working_dir
-from promptflow.connections import AzureOpenAIConnection
+from promptflow._sdk.entities._connection import AzureOpenAIConnection
 
 load_dotenv()
 
@@ -169,15 +159,9 @@ def mock_generated_by_func():
     def my_generated_by_func(index_type: str):
         inputs = ""
         if index_type == "Azure Cognitive Search":
-            inputs = {
-                "index_type": index_type,
-                "index": "index_1"
-                }
+            inputs = {"index_type": index_type, "index": "index_1"}
         elif index_type == "Workspace MLIndex":
-            inputs = {
-                "index_type": index_type,
-                "index" : "index_2"
-            }
+            inputs = {"index_type": index_type, "index": "index_2"}
 
         result = json.dumps(inputs)
         return result
@@ -196,11 +180,21 @@ def my_reverse_generated_by_func(index_json: str):
     return my_reverse_generated_by_func
 
 
+@pytest.fixture
+def enable_logger_propagate():
+    """This is for test cases that need to check the log output."""
+    from promptflow._utils.logger_utils import get_cli_sdk_logger
+
+    logger = get_cli_sdk_logger()
+    original_value = logger.propagate
+    logger.propagate = True
+    yield
+    logger.propagate = original_value
+
+
 @pytest.fixture(scope="session")
 def mock_module_with_for_retrieve_tool_func_result(
-    mock_list_func,
-    mock_generated_by_func,
-    mock_reverse_generated_by_func
+    mock_list_func, mock_generated_by_func, mock_reverse_generated_by_func
 ):
     """Mock module object for dynamic list testing."""
     mock_module_list_func = MagicMock()
@@ -224,55 +218,3 @@ def side_effect(module_name, *args, **kwargs):
 
         mock_import.side_effect = side_effect
         yield
-
-
-# below fixtures are used for pfazure and global config tests
-@pytest.fixture(scope="session")
-def subscription_id() -> str:
-    if is_replay():
-        return SanitizedValues.SUBSCRIPTION_ID
-    else:
-        return os.getenv("PROMPT_FLOW_SUBSCRIPTION_ID", DEFAULT_SUBSCRIPTION_ID)
-
-
-@pytest.fixture(scope="session")
-def resource_group_name() -> str:
-    if is_replay():
-        return SanitizedValues.RESOURCE_GROUP_NAME
-    else:
-        return os.getenv("PROMPT_FLOW_RESOURCE_GROUP_NAME", DEFAULT_RESOURCE_GROUP_NAME)
-
-
-@pytest.fixture(scope="session")
-def workspace_name() -> str:
-    if is_replay():
-        return SanitizedValues.WORKSPACE_NAME
-    else:
-        return os.getenv("PROMPT_FLOW_WORKSPACE_NAME", DEFAULT_WORKSPACE_NAME)
-
-
-@pytest.fixture(scope="session")
-def runtime_name() -> str:
-    return os.getenv("PROMPT_FLOW_RUNTIME_NAME", DEFAULT_RUNTIME_NAME)
-
-
-@pytest.fixture(scope="session")
-def registry_name() -> str:
-    return os.getenv("PROMPT_FLOW_REGISTRY_NAME", DEFAULT_REGISTRY_NAME)
-
-
-@pytest.fixture
-def enable_logger_propagate():
-    """This is for test cases that need to check the log output."""
-    from promptflow._utils.logger_utils import get_cli_sdk_logger
-
-    logger = get_cli_sdk_logger()
-    original_value = logger.propagate
-    logger.propagate = True
-    yield
-    logger.propagate = original_value
-
-
-@pytest.fixture(scope="session")
-def compute_instance_name() -> str:
-    return os.getenv("PROMPT_FLOW_COMPUTE_INSTANCE_NAME", DEFAULT_COMPUTE_INSTANCE_NAME)
diff --git a/src/promptflow/tests/executor/.coveragerc b/src/promptflow/tests/executor/.coveragerc
index f191b51a5d5..b1e76acddf2 100644
--- a/src/promptflow/tests/executor/.coveragerc
+++ b/src/promptflow/tests/executor/.coveragerc
@@ -4,6 +4,7 @@ omit =
     */promptflow/_sdk/*
     */promptflow/_telemetry/*
     */promptflow/azure/*
+    */promptflow/core/*
     */promptflow/entities/*
     */promptflow/operations/*
     *__init__.py*
diff --git a/src/promptflow/tests/executor/conftest.py b/src/promptflow/tests/executor/conftest.py
index 93da20f3610..878fce694e8 100644
--- a/src/promptflow/tests/executor/conftest.py
+++ b/src/promptflow/tests/executor/conftest.py
@@ -1,17 +1,123 @@
+import multiprocessing
+from pathlib import Path
+
 import pytest
+from executor.process_utils import (
+    MockForkServerProcess,
+    MockSpawnProcess,
+    current_process_manager_var,
+    current_process_wrapper_var,
+    override_process_class,
+)
 from fastapi.testclient import TestClient
 
+from promptflow.executor._line_execution_process_pool import _process_wrapper
+from promptflow.executor._process_manager import create_spawned_fork_process_manager
 from promptflow.executor._service.app import app
-from promptflow.tracing._openai_injector import inject_openai_api
+from promptflow.tracing._integrations._openai_injector import inject_openai_api
+
+from .record_utils import setup_recording
+
+try:
+    from promptflow.recording.local import recording_array_reset
+    from promptflow.recording.record_mode import is_live, is_record, is_recording_enabled, is_replay
+except ImportError:
+    # Run test in empty mode if promptflow-recording is not installed
+    def recording_array_reset():
+        pass
+
+    def is_live():
+        return False
+
+    def is_record():
+        return False
+
+    def is_recording_enabled():
+        return False
+
+    def is_replay():
+        return False
+
+
+PROMPTFLOW_ROOT = Path(__file__) / "../../.."
+
+
+def pytest_configure(config):
+    # Register an additional marker
+    pytest.is_live = is_live()
+    pytest.is_record = is_record()
+    pytest.is_replay = is_replay()
+    pytest.is_recording_enabled = is_recording_enabled()
+
+
+@pytest.fixture
+def recording_setup():
+    patches = setup_recording()
+    try:
+        yield
+    finally:
+        for patcher in patches:
+            patcher.stop()
+
+
+def _default_mock_process_wrapper(*args, **kwargs):
+    # Default mock implementation of _process_wrapper in recording mode
+    setup_recording()
+    _process_wrapper(*args, **kwargs)
+
+
+def _default_mock_create_spawned_fork_process_manager(*args, **kwargs):
+    # Default mock implementation of create_spawned_fork_process_manager in recording mode
+    setup_recording()
+    create_spawned_fork_process_manager(*args, **kwargs)
+
+
+@pytest.fixture
+def process_override():
+    # This fixture is used to override the Process class to ensure the recording mode works
+
+    # Step I: set process pool targets placeholder with customized targets
+    current_process_wrapper_var.set(_default_mock_process_wrapper)
+    current_process_manager_var.set(_default_mock_create_spawned_fork_process_manager)
+
+    # Step II: override the process pool class
+    process_class_dict = {"spawn": MockSpawnProcess, "forkserver": MockForkServerProcess}
+    original_process_class = override_process_class(process_class_dict)
+
+    try:
+        yield
+    finally:
+        for start_method, MockProcessClass in process_class_dict.items():
+            if start_method in multiprocessing.get_all_start_methods():
+                multiprocessing.get_context(start_method).Process = original_process_class[start_method]
+                if start_method == multiprocessing.get_start_method():
+                    multiprocessing.Process = original_process_class[start_method]
+
+
+@pytest.fixture
+def recording_injection(recording_setup, process_override):
+    # This fixture is used to main entry point to inject recording mode into the test
+    try:
+        yield
+    finally:
+        if pytest.is_replay or pytest.is_record:
+            from promptflow.recording.local import RecordStorage
+
+            RecordStorage.get_instance().delete_lock_file()
+        if pytest.is_live:
+            from promptflow.recording.local import delete_count_lock_file
+
+            delete_count_lock_file()
+        recording_array_reset()
 
 
 @pytest.fixture(autouse=True, scope="session")
 def inject_api_executor():
-    """Inject OpenAI API during test session.
-
+    """Inject OpenAI API during test session when recording not enabled
     AOAI call in promptflow should involve trace logging and header injection. Inject
     function to API call in test scenario."""
-    inject_openai_api()
+    if not pytest.is_recording_enabled:
+        inject_openai_api()
 
 
 @pytest.fixture(autouse=True, scope="session")
diff --git a/src/promptflow/tests/executor/e2etests/test_activate.py b/src/promptflow/tests/executor/e2etests/test_activate.py
index 3988815d0c8..2791ecdfcaf 100644
--- a/src/promptflow/tests/executor/e2etests/test_activate.py
+++ b/src/promptflow/tests/executor/e2etests/test_activate.py
@@ -4,8 +4,9 @@
 
 import pytest
 
+from promptflow._constants import OUTPUT_FILE_NAME
 from promptflow._utils.logger_utils import LogContext
-from promptflow.batch._batch_engine import OUTPUT_FILE_NAME, BatchEngine
+from promptflow.batch._batch_engine import BatchEngine
 from promptflow.batch._result import BatchResult
 from promptflow.contracts._errors import FlowDefinitionError
 from promptflow.contracts.run_info import FlowRunInfo
@@ -33,7 +34,7 @@
 ]
 
 
-@pytest.mark.usefixtures("dev_connections")
+@pytest.mark.usefixtures("dev_connections", "recording_injection")
 @pytest.mark.e2etest
 class TestExecutorActivate:
     @pytest.mark.parametrize("flow_folder", ACTIVATE_FLOW_TEST_CASES)
diff --git a/src/promptflow/tests/executor/e2etests/test_assistant.py b/src/promptflow/tests/executor/e2etests/test_assistant.py
index a26625a5bbb..5a529955f83 100644
--- a/src/promptflow/tests/executor/e2etests/test_assistant.py
+++ b/src/promptflow/tests/executor/e2etests/test_assistant.py
@@ -1,14 +1,20 @@
 import os
+import sys
+from pathlib import Path
 
 import pytest
 
 from promptflow.contracts.run_info import Status
 from promptflow.executor import FlowExecutor
 
-from ..utils import get_flow_folder, get_yaml_file
+from ..utils import get_flow_folder, get_flow_package_tool_definition, get_yaml_file
 
+PACKAGE_TOOL_BASE = Path(__file__).parent.parent / "package_tools"
+PACKAGE_TOOL_ENTRY = "promptflow._core.tools_manager.collect_package_tools"
+sys.path.insert(0, str(PACKAGE_TOOL_BASE.resolve()))
 
-@pytest.mark.usefixtures("dev_connections")
+
+@pytest.mark.usefixtures("dev_connections", "recording_injection")
 @pytest.mark.e2etest
 class TestAssistant:
     @pytest.mark.parametrize(
@@ -22,6 +28,9 @@ def test_assistant_tool_with_connection(self, flow_folder, line_input, dev_conne
         flow_result = executor.exec_line(line_input)
         print(flow_result.output)
         assert flow_result.run_info.status == Status.Completed
+        assert len(flow_result.output["answer"]["content"]) == 1
+        assert flow_result.output["answer"]["content"][0]["type"] == "text"
+        assert flow_result.output["thread_id"]
 
     @pytest.mark.parametrize(
         "flow_folder, line_input",
@@ -46,3 +55,17 @@ def test_assistant_with_image(self, flow_folder, line_input, dev_connections):
         assert len(flow_result.output["assistant_output"]["content"]) > 0
         assert len(flow_result.output["assistant_output"]["file_id_references"]) > 0
         assert flow_result.output["thread_id"]
+
+    @pytest.mark.parametrize(
+        "flow_folder",
+        [
+            "assistant-with-package-tool",
+        ],
+    )
+    def test_assistant_package_tool_with_conn(self, mocker, flow_folder, dev_connections):
+        package_tool_definition = get_flow_package_tool_definition(flow_folder)
+
+        with mocker.patch(PACKAGE_TOOL_ENTRY, return_value=package_tool_definition):
+            executor = FlowExecutor.create(get_yaml_file(flow_folder), dev_connections, raise_ex=True)
+            flow_result = executor.exec_line({})
+            assert flow_result.run_info.status == Status.Completed
diff --git a/src/promptflow/tests/executor/e2etests/test_batch_engine.py b/src/promptflow/tests/executor/e2etests/test_batch_engine.py
index ab4f70fa37a..f586ec097df 100644
--- a/src/promptflow/tests/executor/e2etests/test_batch_engine.py
+++ b/src/promptflow/tests/executor/e2etests/test_batch_engine.py
@@ -1,4 +1,5 @@
 import asyncio
+import glob
 import multiprocessing
 import os
 import traceback
@@ -8,24 +9,28 @@
 
 import pytest
 
+from promptflow._constants import OUTPUT_FILE_NAME
 from promptflow._sdk.entities._run import Run
 from promptflow._sdk.operations._local_storage_operations import LocalStorageOperations
 from promptflow._utils.utils import dump_list_to_jsonl
-from promptflow.batch._batch_engine import OUTPUT_FILE_NAME, BatchEngine
+from promptflow.batch._batch_engine import BatchEngine
 from promptflow.batch._errors import EmptyInputsData
 from promptflow.batch._result import BatchResult
 from promptflow.contracts.run_info import Status
 from promptflow.executor._errors import InputNotFound
 
+from ..conftest import setup_recording
+from ..process_utils import MockForkServerProcess, MockSpawnProcess, override_process_class
 from ..utils import (
     MemoryRunStorage,
+    get_batch_inputs_line,
     get_flow_expected_metrics,
     get_flow_expected_status_summary,
     get_flow_folder,
     get_flow_inputs_file,
-    get_flow_sample_inputs,
     get_yaml_file,
     load_jsonl,
+    submit_batch_run,
 )
 
 SAMPLE_FLOW = "web_classification_no_variants"
@@ -63,6 +68,13 @@ def _run_batch_with_start_method(multiprocessing_start_method, flow_folder, inpu
     batch_result, output_dir = submit_batch_run(
         flow_folder, inputs_mapping, connections=dev_connections, return_output_dir=True
     )
+    # The method is used as start method to construct new process in tests.
+    # We need to make sure the necessary setup in place to get pass along in new process
+    process_class_dict = {"spawn": MockSpawnProcess, "forkserver": MockForkServerProcess}
+    override_process_class(process_class_dict)
+
+    # recording injection again since this method is running in a new process
+    setup_recording()
 
     assert isinstance(batch_result, BatchResult)
     nlines = get_batch_inputs_line(flow_folder)
@@ -79,33 +91,6 @@ def _run_batch_with_start_method(multiprocessing_start_method, flow_folder, inpu
         assert output["line_number"] == i, f"line_number is not correct in {i}th output {output}"
 
 
-def submit_batch_run(
-    flow_folder,
-    inputs_mapping,
-    *,
-    input_dirs={},
-    input_file_name="samples.json",
-    run_id=None,
-    connections={},
-    storage=None,
-    return_output_dir=False,
-):
-    batch_engine = BatchEngine(
-        get_yaml_file(flow_folder), get_flow_folder(flow_folder), connections=connections, storage=storage
-    )
-    if not input_dirs and inputs_mapping:
-        input_dirs = {"data": get_flow_inputs_file(flow_folder, file_name=input_file_name)}
-    output_dir = Path(mkdtemp())
-    if return_output_dir:
-        return batch_engine.run(input_dirs, inputs_mapping, output_dir, run_id=run_id), output_dir
-    return batch_engine.run(input_dirs, inputs_mapping, output_dir, run_id=run_id)
-
-
-def get_batch_inputs_line(flow_folder, sample_inputs_file="samples.json"):
-    inputs = get_flow_sample_inputs(flow_folder, sample_inputs_file=sample_inputs_file)
-    return len(inputs)
-
-
 class MockRun(object):
     def __init__(self, name: str, output_path: Path):
         self.name = name
@@ -114,7 +99,7 @@ def __init__(self, name: str, output_path: Path):
         self._run_source = None
 
 
-@pytest.mark.usefixtures("use_secrets_config_file", "dev_connections")
+@pytest.mark.usefixtures("use_secrets_config_file", "dev_connections", "recording_injection")
 @pytest.mark.e2etest
 class TestBatch:
     def test_batch_storage(self, dev_connections):
@@ -413,10 +398,12 @@ def test_batch_resume(self, flow_folder, resume_from_run_name, dev_connections):
         mock_resume_from_run = MockRun(resume_from_run_name, run_folder)
         resume_from_run_storage = LocalStorageOperations(mock_resume_from_run)
         resume_from_run_output_dir = resume_from_run_storage.outputs_folder
+        resume_run_id = mock_resume_from_run.name + "_resume"
         resume_run_batch_results = batch_engine.run(
             input_dirs,
             inputs_mapping,
             output_dir,
+            resume_run_id,
             resume_from_run_storage=resume_from_run_storage,
             resume_from_run_output_dir=resume_from_run_output_dir,
         )
@@ -425,6 +412,12 @@ def test_batch_resume(self, flow_folder, resume_from_run_name, dev_connections):
         assert resume_run_batch_results.total_lines == nlines
         assert resume_run_batch_results.completed_lines == nlines
 
+        jsonl_files = glob.glob(os.path.join(run_storage._run_infos_folder, "*.jsonl"))
+        for file_path in jsonl_files:
+            contents = load_jsonl(file_path)
+            for content in contents:
+                assert content["run_info"]["root_run_id"] == resume_run_id
+
     @pytest.mark.parametrize(
         "flow_folder, resume_from_run_name",
         [("classification_accuracy_evaluation", "classification_accuracy_evaluation_default_20240208_152402_694000")],
@@ -448,10 +441,12 @@ def test_batch_resume_aggregation(self, flow_folder, resume_from_run_name, dev_c
         mock_resume_from_run = MockRun(resume_from_run_name, run_folder)
         resume_from_run_storage = LocalStorageOperations(mock_resume_from_run)
         resume_from_run_output_dir = resume_from_run_storage.outputs_folder
+        resume_run_id = mock_resume_from_run.name + "_resume"
         resume_run_batch_results = batch_engine.run(
             input_dirs,
             inputs_mapping,
             output_dir,
+            resume_run_id,
             resume_from_run_storage=resume_from_run_storage,
             resume_from_run_output_dir=resume_from_run_output_dir,
         )
@@ -461,6 +456,17 @@ def test_batch_resume_aggregation(self, flow_folder, resume_from_run_name, dev_c
         assert resume_run_batch_results.completed_lines == nlines
         assert resume_run_batch_results.metrics == {"accuracy": 0.67}
 
+        jsonl_files = glob.glob(os.path.join(run_storage._run_infos_folder, "*.jsonl"))
+        for file_path in jsonl_files:
+            contents = load_jsonl(file_path)
+            for content in contents:
+                assert content["run_info"]["root_run_id"] == resume_run_id
+
+        status_summary = {f"__pf__.nodes.{k}": v for k, v in resume_run_batch_results.node_status.items()}
+        assert status_summary["__pf__.nodes.grade.completed"] == 3
+        assert status_summary["__pf__.nodes.calculate_accuracy.completed"] == 1
+        assert status_summary["__pf__.nodes.aggregation_assert.completed"] == 1
+
     @pytest.mark.parametrize(
         "flow_folder, resume_from_run_name",
         [("eval_flow_with_image_resume", "eval_flow_with_image_resume_default_20240305_111258_103000")],
@@ -480,10 +486,12 @@ def test_batch_resume_aggregation_with_image(self, flow_folder, resume_from_run_
         mock_resume_from_run = MockRun(resume_from_run_name, run_folder)
         resume_from_run_storage = LocalStorageOperations(mock_resume_from_run)
         resume_from_run_output_dir = resume_from_run_storage.outputs_folder
+        resume_run_id = mock_resume_from_run.name + "_resume"
         resume_run_batch_results = batch_engine.run(
             input_dirs,
             inputs_mapping,
             output_dir,
+            resume_run_id,
             resume_from_run_storage=resume_from_run_storage,
             resume_from_run_output_dir=resume_from_run_output_dir,
         )
@@ -492,3 +500,13 @@ def test_batch_resume_aggregation_with_image(self, flow_folder, resume_from_run_
         assert resume_run_batch_results.total_lines == nlines
         assert resume_run_batch_results.completed_lines == nlines
         assert resume_run_batch_results.metrics == {"image_count": 3}
+
+        jsonl_files = glob.glob(os.path.join(run_storage._run_infos_folder, "*.jsonl"))
+        for file_path in jsonl_files:
+            contents = load_jsonl(file_path)
+            for content in contents:
+                assert content["run_info"]["root_run_id"] == resume_run_id
+
+        status_summary = {f"__pf__.nodes.{k}": v for k, v in resume_run_batch_results.node_status.items()}
+        assert status_summary["__pf__.nodes.flip_image.completed"] == 3
+        assert status_summary["__pf__.nodes.count_image.completed"] == 1
diff --git a/src/promptflow/tests/executor/e2etests/test_batch_server.py b/src/promptflow/tests/executor/e2etests/test_batch_server.py
new file mode 100644
index 00000000000..e2a5cef72de
--- /dev/null
+++ b/src/promptflow/tests/executor/e2etests/test_batch_server.py
@@ -0,0 +1,100 @@
+from pathlib import Path
+from tempfile import mkdtemp
+from typing import Any, Mapping, Optional
+
+import pytest
+from fastapi.testclient import TestClient
+
+from promptflow._constants import FlowLanguage
+from promptflow._proxy import AbstractExecutorProxy, ProxyFactory
+from promptflow._proxy._python_executor_proxy import PythonExecutorProxy
+from promptflow.contracts.run_info import Status
+from promptflow.executor._result import AggregationResult, LineResult
+from promptflow.executor._service.app import app
+from promptflow.storage import AbstractRunStorage
+
+from ..utils import MemoryRunStorage, submit_batch_run
+
+
+@pytest.mark.e2etest
+class TestBatchServer:
+    def test_batch_run_in_server_mode(self):
+        flow_folder = "print_input_flow"
+        inputs_mapping = {"text": "${data.text}"}
+        mem_run_storage = MemoryRunStorage()
+        # Mock the executor proxy to use the test client
+        ProxyFactory.register_executor(FlowLanguage.Python, MockPythonAPIBasedExecutorProxy)
+        batch_result = submit_batch_run(
+            flow_folder, inputs_mapping, input_file_name="inputs.jsonl", storage=mem_run_storage
+        )
+        assert batch_result.status == Status.Completed
+        assert batch_result.total_lines == 10
+        assert batch_result.completed_lines == batch_result.total_lines
+        assert len(mem_run_storage._flow_runs) == 10
+        assert len(mem_run_storage._node_runs) == 10
+        # Reset the executor proxy to avoid affecting other tests
+        ProxyFactory.register_executor(FlowLanguage.Python, PythonExecutorProxy)
+
+
+class MockPythonAPIBasedExecutorProxy(AbstractExecutorProxy):
+    def __init__(self, *, executor_client: TestClient):
+        self._executor_client = executor_client
+
+    @classmethod
+    async def create(
+        cls,
+        flow_file: Path,
+        working_dir: Optional[Path] = None,
+        *,
+        connections: Optional[dict] = None,
+        storage: Optional[AbstractRunStorage] = None,
+        worker_count: Optional[int] = None,
+        line_timeout_sec: Optional[int] = None,
+        **kwargs,
+    ) -> "MockPythonAPIBasedExecutorProxy":
+        """Create a new executor"""
+        executor_client = TestClient(app, raise_server_exceptions=False)
+        output_dir = Path(mkdtemp())
+        log_path = output_dir / "execution.log"
+        request = {
+            "working_dir": working_dir.as_posix(),
+            "flow_file": "flow.dag.yaml",
+            "connections": connections,
+            "output_dir": output_dir.as_posix(),
+            "log_path": log_path.as_posix(),
+            "worker_count": worker_count,
+            "line_timeout_sec": line_timeout_sec,
+        }
+        request = executor_client.post(url="/initialize", json=request)
+        executor_proxy = cls(executor_client=executor_client)
+        return executor_proxy
+
+    async def destroy(self):
+        """Destroy the executor"""
+        return self._executor_client.post(url="/finalize")
+
+    async def exec_line_async(
+        self,
+        inputs: Mapping[str, Any],
+        index: Optional[int] = None,
+        run_id: Optional[str] = None,
+    ) -> LineResult:
+        """Execute a line"""
+        request = {"run_id": run_id, "line_number": index, "inputs": inputs}
+        line_result = self._executor_client.post(url="/execution", json=request)
+        return LineResult.deserialize(line_result.json())
+
+    async def exec_aggregation_async(
+        self,
+        batch_inputs: Mapping[str, Any],
+        aggregation_inputs: Mapping[str, Any],
+        run_id: Optional[str] = None,
+    ) -> AggregationResult:
+        """Execute aggregation nodes"""
+        request = {"run_id": run_id, "batch_inputs": batch_inputs, "aggregation_inputs": aggregation_inputs}
+        aggregation_result = self._executor_client.post(url="/aggregation", json=request)
+        return AggregationResult.deserialize(aggregation_result.json())
+
+    async def ensure_executor_health(self):
+        """Ensure the executor service is healthy before execution"""
+        return self._executor_client.get(url="/health")
diff --git a/src/promptflow/tests/executor/e2etests/test_batch_timeout.py b/src/promptflow/tests/executor/e2etests/test_batch_timeout.py
index b3e14df2bd1..eabc9e933a5 100644
--- a/src/promptflow/tests/executor/e2etests/test_batch_timeout.py
+++ b/src/promptflow/tests/executor/e2etests/test_batch_timeout.py
@@ -13,11 +13,11 @@
 
 from ..utils import MemoryRunStorage, get_flow_folder, get_flow_inputs_file, get_yaml_file
 
-SAMPLE_FLOW = "web_classification_no_variants"
+SAMPLE_FLOW = "hello-world"
 ONE_LINE_OF_BULK_TEST_TIMEOUT = "one_line_of_bulktest_timeout"
 
 
-@pytest.mark.usefixtures("use_secrets_config_file", "dev_connections")
+@pytest.mark.usefixtures("use_secrets_config_file", "dev_connections", "recording_injection")
 @pytest.mark.e2etest
 class TestBatchTimeout:
     @pytest.mark.parametrize(
@@ -53,7 +53,7 @@ def test_batch_with_line_timeout(self, flow_folder, dev_connections):
         # assert mem_run_storage persists run infos correctly
         assert len(mem_run_storage._flow_runs) == 2, "Flow runs are persisted in memory storage."
         assert len(mem_run_storage._node_runs) == 4, "Node runs are persisted in memory storage."
-        msg = "Tool execution is canceled because of the error: Line execution timeout after 5 seconds."
+        msg = "Tool execution is canceled because: Line execution timeout after 5 seconds."
         for run in mem_run_storage._node_runs.values():
             if run.node == "my_python_tool_with_failed_line":
                 assert run.status == Status.Canceled
@@ -127,7 +127,6 @@ def test_batch_with_one_line_timeout(self, flow_folder, dev_connections):
         [
             (ONE_LINE_OF_BULK_TEST_TIMEOUT, 600, 5, BatchExecutionTimeoutError(2, 5), Status.Failed),
             (ONE_LINE_OF_BULK_TEST_TIMEOUT, 3, 600, LineExecutionTimeoutError(2, 3), Status.Completed),
-            (ONE_LINE_OF_BULK_TEST_TIMEOUT, 10, 10, BatchExecutionTimeoutError(2, 10), Status.Failed),
         ],
     )
     def test_batch_timeout(self, flow_folder, line_timeout_sec, batch_timeout_sec, expected_error, batch_run_status):
@@ -161,7 +160,11 @@ def test_batch_timeout(self, flow_folder, line_timeout_sec, batch_timeout_sec, e
         # assert the error summary in batch result
         if batch_run_status == Status.Failed:
             ex = BatchRunTimeoutError(
-                message="The batch run failed due to timeout. Please adjust the timeout settings to a higher value.",
+                message_format=(
+                    "The batch run failed due to timeout [{batch_timeout_sec}s]. "
+                    "Please adjust the timeout to a higher value."
+                ),
+                batch_timeout_sec=batch_timeout_sec,
                 target=ErrorTarget.BATCH,
             )
             assert batch_results.error_summary.batch_error_dict == ExceptionPresenter.create(ex).to_dict()
diff --git a/src/promptflow/tests/executor/e2etests/test_csharp_executor_proxy.py b/src/promptflow/tests/executor/e2etests/test_csharp_executor_proxy.py
index 3ad8db55b5b..61ebc547bf9 100644
--- a/src/promptflow/tests/executor/e2etests/test_csharp_executor_proxy.py
+++ b/src/promptflow/tests/executor/e2etests/test_csharp_executor_proxy.py
@@ -8,9 +8,10 @@
 import pytest
 
 from promptflow._constants import FlowLanguage
+from promptflow._proxy import ProxyFactory
+from promptflow._proxy._csharp_executor_proxy import CSharpExecutorProxy
 from promptflow._utils.exception_utils import ExceptionPresenter
 from promptflow.batch._batch_engine import BatchEngine
-from promptflow.batch._csharp_executor_proxy import CSharpExecutorProxy
 from promptflow.batch._result import BatchResult
 from promptflow.contracts.run_info import Status
 from promptflow.exceptions import ErrorTarget, ValidationException
@@ -24,7 +25,7 @@
 @pytest.mark.unittest
 class TestCSharpExecutorProxy:
     def setup_method(self):
-        BatchEngine.register_executor(FlowLanguage.CSharp, MockCSharpExecutorProxy)
+        ProxyFactory.register_executor(FlowLanguage.CSharp, MockCSharpExecutorProxy)
 
     def test_batch(self):
         # submit a batch run
diff --git a/src/promptflow/tests/executor/e2etests/test_eager_flow.py b/src/promptflow/tests/executor/e2etests/test_eager_flow.py
index 39bfc1d4103..14799d72cdf 100644
--- a/src/promptflow/tests/executor/e2etests/test_eager_flow.py
+++ b/src/promptflow/tests/executor/e2etests/test_eager_flow.py
@@ -1,14 +1,11 @@
-from dataclasses import is_dataclass
 from pathlib import Path
 from tempfile import mkdtemp
 
 import pytest
 
-from promptflow.batch._batch_engine import OUTPUT_FILE_NAME, BatchEngine
-from promptflow.batch._result import BatchResult, LineResult
-from promptflow.contracts.run_info import Status
-from promptflow.executor._script_executor import ScriptExecutor
-from promptflow.executor.flow_executor import FlowExecutor
+from promptflow._constants import OUTPUT_FILE_NAME
+from promptflow.batch._batch_engine import BatchEngine
+from promptflow.batch._result import BatchResult
 
 from ..utils import (
     EAGER_FLOW_ROOT,
@@ -45,61 +42,33 @@ def validate_batch_result(batch_result: BatchResult, flow_folder, output_dir, en
 @pytest.mark.e2etest
 class TestEagerFlow:
     @pytest.mark.parametrize(
-        "flow_folder, inputs, ensure_output",
-        [
-            ("dummy_flow_with_trace", {"text": "text", "models": ["model"]}, lambda x: x == "dummy_output"),
-            (
-                "flow_with_dataclass_output",
-                {"text": "text", "models": ["model"]},
-                lambda x: is_dataclass(x) and x.text == "text" and x.models == ["model"],
-            ),
-        ],
-    )
-    def test_flow_run(self, flow_folder, inputs, ensure_output):
-        flow_file = get_yaml_file(flow_folder, root=EAGER_FLOW_ROOT)
-
-        # Test submitting eager flow to script executor
-        executor = ScriptExecutor(flow_file=flow_file)
-        line_result = executor.exec_line(inputs=inputs, index=0)
-        assert isinstance(line_result, LineResult)
-        assert ensure_output(line_result.output)
-
-        # Test submitting eager flow to flow executor
-        executor = FlowExecutor.create(flow_file=flow_file, connections={})
-        line_result = executor.exec_line(inputs=inputs, index=0)
-        assert isinstance(line_result, LineResult)
-        assert ensure_output(line_result.output)
-
-    def test_flow_run_with_invalid_case(self):
-        flow_folder = "dummy_flow_with_exception"
-        flow_file = get_yaml_file(flow_folder, root=EAGER_FLOW_ROOT)
-        executor = ScriptExecutor(flow_file=flow_file)
-        line_result = executor.exec_line(inputs={"text": "text"}, index=0)
-
-        assert isinstance(line_result, LineResult)
-        assert line_result.output is None
-        assert line_result.run_info.status == Status.Failed
-        assert "dummy exception" in line_result.run_info.error["message"]
-
-    @pytest.mark.parametrize(
-        "flow_folder, inputs_mapping, ensure_output",
+        "flow_folder, inputs_mapping, ensure_output, init_kwargs",
         [
             (
                 "dummy_flow_with_trace",
                 {"text": "${data.text}", "models": "${data.models}"},
                 lambda x: "output" in x and x["output"] == "dummy_output",
+                None,
             ),
             (
                 "flow_with_dataclass_output",
                 {"text": "${data.text}", "models": "${data.models}"},
                 lambda x: x["text"] == "text" and isinstance(x["models"], list),
+                None,
+            ),
+            (
+                "basic_callable_class",
+                {"func_input": "${data.func_input}"},
+                lambda x: x["obj_input"] == "obj_input" and x["func_input"] == "func_input",
+                {"obj_input": "obj_input"},
             ),
         ],
     )
-    def test_batch_run(self, flow_folder, inputs_mapping, ensure_output):
+    def test_batch_run(self, flow_folder, inputs_mapping, ensure_output, init_kwargs):
         batch_engine = BatchEngine(
             get_yaml_file(flow_folder, root=EAGER_FLOW_ROOT),
             get_flow_folder(flow_folder, root=EAGER_FLOW_ROOT),
+            init_kwargs=init_kwargs,
         )
         input_dirs = {"data": get_flow_inputs_file(flow_folder, root=EAGER_FLOW_ROOT)}
         output_dir = Path(mkdtemp())
@@ -123,13 +92,37 @@ def test_batch_run_with_invalid_case(self):
         assert batch_result.start_time < batch_result.end_time
         assert batch_result.system_metrics.duration > 0
 
-    def test_flow_with_operation_context(self):
-        flow_folder = "flow_with_operation_context"
-        flow_file = get_yaml_file(flow_folder, root=EAGER_FLOW_ROOT)
-        executor = FlowExecutor.create(flow_file=flow_file, connections={})
-        line_result = executor.exec_line(inputs={}, index=0)
+    @pytest.mark.parametrize(
+        "worker_count, ensure_output",
+        [
+            # batch run with 1 worker
+            # obj id in each line run should be the same
+            (
+                1,
+                lambda outputs: len(outputs) == 4 and outputs[0]["obj_id"] == outputs[1]["obj_id"],
+            ),
+            # batch run with 2 workers
+            (
+                2,
+                # there will be at most 2 instances be created.
+                lambda outputs: len(outputs) == 4 and len(set([o["obj_id"] for o in outputs])) <= 2,
+            ),
+        ],
+    )
+    def test_batch_run_with_init_multiple_workers(self, worker_count, ensure_output):
+        flow_folder = "basic_callable_class"
+        init_kwargs = {"obj_input": "obj_input"}
+
+        input_dirs = {"data": get_flow_inputs_file(flow_folder, root=EAGER_FLOW_ROOT)}
+        output_dir = Path(mkdtemp())
+
+        batch_engine = BatchEngine(
+            get_yaml_file(flow_folder, root=EAGER_FLOW_ROOT),
+            get_flow_folder(flow_folder, root=EAGER_FLOW_ROOT),
+            init_kwargs=init_kwargs,
+            worker_count=worker_count,
+        )
 
-        assert isinstance(line_result, LineResult)
-        assert line_result.run_info.status == Status.Completed
-        assert line_result.output["flow-id"] == line_result.run_info.flow_id
-        assert line_result.output["root-run-id"] == line_result.run_info.root_run_id
+        batch_engine.run(input_dirs, {"func_input": "${data.func_input}"}, output_dir)
+        outputs = load_jsonl(output_dir / OUTPUT_FILE_NAME)
+        assert ensure_output(outputs), outputs
diff --git a/src/promptflow/tests/executor/e2etests/test_executor_execution_failures.py b/src/promptflow/tests/executor/e2etests/test_executor_execution_failures.py
index 7a5d5078224..6fbf4510b7c 100644
--- a/src/promptflow/tests/executor/e2etests/test_executor_execution_failures.py
+++ b/src/promptflow/tests/executor/e2etests/test_executor_execution_failures.py
@@ -2,6 +2,7 @@
 
 from promptflow.contracts.run_info import Status
 from promptflow.executor import FlowExecutor
+from promptflow._core._errors import ToolExecutionError
 
 from ..utils import (
     get_yaml_file,
@@ -114,3 +115,29 @@ def test_executor_exec_line_fail(self, flow_folder, failed_node_name, message):
         assert len(stacktrace) == len(expected_stack_trace)
         for expected_item, actual_item in zip(expected_stack_trace, stacktrace):
             assert expected_item in actual_item
+
+    @pytest.mark.parametrize(
+        "flow_folder, failed_node_name, message",
+        [
+            ("sync_tools_failures", "sync_fail", "In tool raise_an_exception: dummy_input"),
+            ("async_tools_failures", "async_fail", "In tool raise_an_exception_async: dummy_input"),
+        ],
+    )
+    def test_executor_exec_line_fail_with_exception(self, flow_folder, failed_node_name, message):
+        yaml_file = get_yaml_file(flow_folder)
+        # Here we set raise_ex to True to make sure the exception is raised and we can check the error detail.
+        executor = FlowExecutor.create(yaml_file, {}, raise_ex=True)
+        with pytest.raises(ToolExecutionError) as e:
+            executor.exec_line({})
+        ex = e.value
+        assert ex.error_codes == ["UserError", "ToolExecutionError"]
+        ex_str = str(ex)
+        assert ex_str.startswith(f"Execution failure in '{failed_node_name}'")
+        assert message in ex_str
+        expected_stack_trace = expected_stack_traces[flow_folder]
+        stacktrace = ex.tool_traceback.split("\n")
+        #  Remove "^^^^^^^^" lines as they are not part of actual stack trace
+        stacktrace = [line for line in stacktrace if "^^^^^^^^" not in line]
+        assert len(stacktrace) == len(expected_stack_trace)
+        for expected_item, actual_item in zip(expected_stack_trace, stacktrace):
+            assert expected_item in actual_item
diff --git a/src/promptflow/tests/executor/e2etests/test_executor_happypath.py b/src/promptflow/tests/executor/e2etests/test_executor_happypath.py
index 0a6be429d87..87a411bae98 100644
--- a/src/promptflow/tests/executor/e2etests/test_executor_happypath.py
+++ b/src/promptflow/tests/executor/e2etests/test_executor_happypath.py
@@ -16,12 +16,14 @@
 from promptflow.executor.flow_executor import execute_flow
 from promptflow.storage._run_storage import DefaultRunStorage
 
+from ..conftest import MockSpawnProcess, setup_recording
+from ..process_utils import MockForkServerProcess, override_process_class
 from ..utils import FLOW_ROOT, get_flow_folder, get_flow_sample_inputs, get_yaml_file, is_image_file
 
 SAMPLE_FLOW = "web_classification_no_variants"
 
 
-@pytest.mark.usefixtures("use_secrets_config_file", "dev_connections")
+@pytest.mark.usefixtures("use_secrets_config_file", "dev_connections", "recording_injection")
 @pytest.mark.e2etest
 class TestExecutor:
     def get_line_inputs(self, flow_folder=""):
@@ -95,8 +97,9 @@ def test_long_running_log(self, dev_connections, capsys):
         from promptflow._utils.logger_utils import flow_logger
 
         flow_logger.addHandler(logging.StreamHandler(sys.stdout))
-        os.environ["PF_TASK_PEEKING_INTERVAL"] = "1"
 
+        # Test long running tasks with log
+        os.environ["PF_LONG_RUNNING_LOGGING_INTERVAL"] = "1"
         executor = FlowExecutor.create(get_yaml_file("async_tools"), dev_connections)
         executor.exec_line(self.get_line_inputs())
         captured = capsys.readouterr()
@@ -108,8 +111,19 @@ def test_long_running_log(self, dev_connections, capsys):
         assert re.match(
             expected_long_running_str_2, captured.out, re.DOTALL
         ), "flow_logger should contain long running async tool log"
+        os.environ.pop("PF_LONG_RUNNING_LOGGING_INTERVAL")
+
+        # Test long running tasks without log
+        executor.exec_line(self.get_line_inputs())
+        captured = capsys.readouterr()
+        assert not re.match(
+            expected_long_running_str_1, captured.out, re.DOTALL
+        ), "flow_logger should not contain long running async tool log"
+        assert not re.match(
+            expected_long_running_str_2, captured.out, re.DOTALL
+        ), "flow_logger should not contain long running async tool log"
+
         flow_logger.handlers.pop()
-        os.environ.pop("PF_TASK_PEEKING_INTERVAL")
 
     @pytest.mark.parametrize(
         "flow_folder, node_name, flow_inputs, dependency_nodes_outputs",
@@ -177,7 +191,7 @@ def test_executor_node_overrides(self, dev_connections):
                 raise_ex=True,
             )
         assert isinstance(e.value.inner_exception, ConnectionNotFound)
-        assert "Connection of LLM node 'classify_with_llm' is not found." in str(e.value)
+        assert "Connection 'dummy_connection' of LLM node 'classify_with_llm' is not found." in str(e.value)
 
     @pytest.mark.parametrize(
         "flow_folder",
@@ -314,6 +328,11 @@ def test_execute_flow(
 
 def exec_node_within_process(queue, flow_file, node_name, flow_inputs, dependency_nodes_outputs, connections, raise_ex):
     try:
+        process_class_dict = {"spawn": MockSpawnProcess, "forkserver": MockForkServerProcess}
+        override_process_class(process_class_dict)
+
+        # recording injection again since this method is running in a new process
+        setup_recording()
         result = FlowExecutor.load_and_exec_node(
             flow_file=get_yaml_file(flow_file),
             node_name=node_name,
diff --git a/src/promptflow/tests/executor/e2etests/test_image.py b/src/promptflow/tests/executor/e2etests/test_image.py
index 7370648982f..7653d9b70c1 100644
--- a/src/promptflow/tests/executor/e2etests/test_image.py
+++ b/src/promptflow/tests/executor/e2etests/test_image.py
@@ -4,8 +4,9 @@
 
 import pytest
 
-from promptflow._utils.multimedia_utils import MIME_PATTERN, _create_image_from_file, _is_url, is_multimedia_dict
-from promptflow.batch._batch_engine import OUTPUT_FILE_NAME, BatchEngine
+from promptflow._constants import OUTPUT_FILE_NAME
+from promptflow._utils.multimedia_utils import MIME_PATTERN, BasicMultimediaProcessor, ImageProcessor
+from promptflow.batch._batch_engine import BatchEngine
 from promptflow.batch._result import BatchResult
 from promptflow.contracts.multimedia import Image
 from promptflow.contracts.run_info import FlowRunInfo, RunInfo, Status
@@ -30,7 +31,7 @@
 
 def get_test_cases_for_simple_input(flow_folder):
     working_dir = get_flow_folder(flow_folder)
-    image = _create_image_from_file(working_dir / "logo.jpg")
+    image = ImageProcessor.create_image_from_file(working_dir / "logo.jpg")
     inputs = [
         {"data:image/jpg;path": str(working_dir / "logo.jpg")},
         {"data:image/jpg;base64": image.to_base64()},
@@ -44,8 +45,8 @@ def get_test_cases_for_simple_input(flow_folder):
 
 def get_test_cases_for_composite_input(flow_folder):
     working_dir = get_flow_folder(flow_folder)
-    image_1 = _create_image_from_file(working_dir / "logo.jpg")
-    image_2 = _create_image_from_file(working_dir / "logo_2.png")
+    image_1 = ImageProcessor.create_image_from_file(working_dir / "logo.jpg")
+    image_2 = ImageProcessor.create_image_from_file(working_dir / "logo_2.png")
     inputs = [
         [
             {"data:image/jpg;path": str(working_dir / "logo.jpg")},
@@ -96,10 +97,10 @@ def contain_image_reference(value, parent_path="temp"):
     if isinstance(value, list):
         return any(contain_image_reference(item, parent_path) for item in value)
     if isinstance(value, dict):
-        if is_multimedia_dict(value):
+        if BasicMultimediaProcessor.is_multimedia_dict(value):
             v = list(value.values())[0]
             assert isinstance(v, str)
-            assert _is_url(v) or str(Path(v).parent) == parent_path
+            assert ImageProcessor.is_url(v) or str(Path(v).parent) == parent_path
             return True
         return any(contain_image_reference(v, parent_path) for v in value.values())
     return False
@@ -109,7 +110,7 @@ def contain_image_object(value):
     if isinstance(value, list):
         return any(contain_image_object(item) for item in value)
     elif isinstance(value, dict):
-        assert not is_multimedia_dict(value)
+        assert not BasicMultimediaProcessor.is_multimedia_dict(value)
         return any(contain_image_object(v) for v in value.values())
     else:
         return isinstance(value, Image)
diff --git a/src/promptflow/tests/executor/e2etests/test_langchain.py b/src/promptflow/tests/executor/e2etests/test_langchain.py
index 0e7d47d3fb2..dbfa617a616 100644
--- a/src/promptflow/tests/executor/e2etests/test_langchain.py
+++ b/src/promptflow/tests/executor/e2etests/test_langchain.py
@@ -9,7 +9,7 @@
 from ..utils import get_flow_folder, get_flow_inputs_file, get_yaml_file
 
 
-@pytest.mark.usefixtures("use_secrets_config_file", "dev_connections")
+@pytest.mark.usefixtures("use_secrets_config_file", "dev_connections", "recording_injection")
 @pytest.mark.e2etest
 class TestLangchain:
     @pytest.mark.parametrize(
diff --git a/src/promptflow/tests/executor/e2etests/test_logs.py b/src/promptflow/tests/executor/e2etests/test_logs.py
index 517ab0d93c7..cbd636ae0e3 100644
--- a/src/promptflow/tests/executor/e2etests/test_logs.py
+++ b/src/promptflow/tests/executor/e2etests/test_logs.py
@@ -1,8 +1,10 @@
+import os
 from pathlib import Path
 from tempfile import mkdtemp
 
 import pytest
 
+from promptflow._constants import LINE_NUMBER_WIDTH, OUTPUT_FILE_NAME
 from promptflow._utils.logger_utils import LogContext
 from promptflow.batch import BatchEngine
 from promptflow.batch._result import BatchResult
@@ -11,44 +13,18 @@
 from promptflow.executor import FlowExecutor
 
 from ..utils import (
+    get_batch_inputs_line,
+    get_bulk_inputs_from_jsonl,
     get_flow_folder,
     get_flow_inputs_file,
-    get_flow_sample_inputs,
     get_yaml_file,
     load_content,
     load_jsonl,
+    submit_batch_run,
 )
 
 TEST_LOGS_FLOW = ["print_input_flow"]
 SAMPLE_FLOW_WITH_TEN_INPUTS = "simple_flow_with_ten_inputs"
-OUTPUT_FILE_NAME = "output.jsonl"
-
-
-def submit_batch_run(
-    flow_folder,
-    inputs_mapping,
-    *,
-    input_dirs={},
-    input_file_name="samples.json",
-    run_id=None,
-    connections={},
-    storage=None,
-    return_output_dir=False,
-):
-    batch_engine = BatchEngine(
-        get_yaml_file(flow_folder), get_flow_folder(flow_folder), connections=connections, storage=storage
-    )
-    if not input_dirs and inputs_mapping:
-        input_dirs = {"data": get_flow_inputs_file(flow_folder, file_name=input_file_name)}
-    output_dir = Path(mkdtemp())
-    if return_output_dir:
-        return batch_engine.run(input_dirs, inputs_mapping, output_dir, run_id=run_id), output_dir
-    return batch_engine.run(input_dirs, inputs_mapping, output_dir, run_id=run_id)
-
-
-def get_batch_inputs_line(flow_folder, sample_inputs_file="samples.json"):
-    inputs = get_flow_sample_inputs(flow_folder, sample_inputs_file=sample_inputs_file)
-    return len(inputs)
 
 
 @pytest.mark.usefixtures("dev_connections")
@@ -152,19 +128,13 @@ def test_node_logs_in_executor_logs(self, folder_name):
             assert all(node_log in log_content for node_log in node_logs_list)
 
     def test_long_run_log(self):
-        executor = FlowExecutor.create(get_yaml_file("long_run"), {})
-        file_path = Path(mkdtemp()) / "flow.log"
-        with LogContext(file_path):
-            flow_result = executor.exec_line({}, index=0)
-        node_run = flow_result.node_run_infos["long_run_node"]
-        assert node_run.status == Status.Completed
-        with open(file_path) as fin:
-            lines = fin.readlines()
-        lines = [line for line in lines if line.strip()]
+        # Test long running tasks with log
+        os.environ["PF_LONG_RUNNING_LOGGING_INTERVAL"] = "60"
         target_texts = [
             "INFO     Start executing nodes in thread pool mode.",
             "INFO     Start to run 1 nodes with concurrency level 16.",
             "INFO     Executing node long_run_node.",
+            "INFO     Using value of PF_LONG_RUNNING_LOGGING_INTERVAL in environment variable",
             "WARNING  long_run_node in line 0 has been running for 60 seconds, stacktrace of thread",
             "in wrapped",
             "output = func(*args, **kwargs)",
@@ -176,6 +146,28 @@ def test_long_run_log(self):
             "time.sleep(61)",
             "INFO     Node long_run_node completes.",
         ]
+        self.assert_long_run_log(target_texts)
+        os.environ.pop("PF_LONG_RUNNING_LOGGING_INTERVAL")
+
+        # Test long running tasks without log
+        target_texts = [
+            "INFO     Start executing nodes in thread pool mode.",
+            "INFO     Start to run 1 nodes with concurrency level 16.",
+            "INFO     Executing node long_run_node.",
+            "INFO     Node long_run_node completes.",
+        ]
+        self.assert_long_run_log(target_texts)
+
+    def assert_long_run_log(self, target_texts):
+        executor = FlowExecutor.create(get_yaml_file("long_run"), {})
+        file_path = Path(mkdtemp()) / "flow.log"
+        with LogContext(file_path):
+            flow_result = executor.exec_line({}, index=0)
+        node_run = flow_result.node_run_infos["long_run_node"]
+        assert node_run.status == Status.Completed
+        with open(file_path) as fin:
+            lines = fin.readlines()
+        lines = [line for line in lines if line.strip()]
         msg = f"Got {len(lines)} lines in {file_path}, expected {len(target_texts)}."
         assert len(lines) == len(target_texts), msg
         for actual, expected in zip(lines, target_texts):
@@ -214,6 +206,30 @@ def test_log_progress(self, flow_folder, inputs_mapping, dev_connections):
                 assert "line_number" in output, f"line_number is not in {i}th output {output}"
                 assert output["line_number"] == i, f"line_number is not correct in {i}th output {output}"
 
+    def test_batch_run_flow_logs(self, dev_connections):
+        flow_folder = "print_input_flow"
+        logs_directory = Path(mkdtemp())
+        bulk_run_log_path = str(logs_directory / "test_bulk_run.log")
+        bulk_run_flow_logs_folder = str(logs_directory / "test_bulk_run_flow_logs_folder")
+        Path(bulk_run_flow_logs_folder).mkdir()
+        with LogContext(bulk_run_log_path, run_mode=RunMode.Batch, flow_logs_folder=bulk_run_flow_logs_folder):
+            submit_batch_run(
+                flow_folder,
+                inputs_mapping={"text": "${data.text}"},
+                connections=dev_connections,
+                input_file_name="inputs.jsonl",
+            )
+            nlines = len(get_bulk_inputs_from_jsonl(flow_folder))
+            for i in range(nlines):
+                file_name = f"{str(i).zfill(LINE_NUMBER_WIDTH)}.log"
+                flow_log_file = Path(bulk_run_flow_logs_folder) / file_name
+                assert flow_log_file.is_file()
+                log_content = load_content(flow_log_file)
+                # Assert flow log file contains expected logs
+                assert "execution          WARNING" in log_content
+                assert "execution.flow     INFO" in log_content
+                assert f"in line {i} (index starts from 0)" in log_content
+
     def test_activate_config_log(self):
         logs_directory = Path(mkdtemp())
         log_path = str(logs_directory / "flow.log")
@@ -237,6 +253,7 @@ def test_activate_config_log(self):
             assert all(log in log_content for log in logs_list)
 
     def test_async_log_in_worker_thread(self):
+        os.environ["PF_LONG_RUNNING_LOGGING_INTERVAL"] = "60"
         logs_directory = Path(mkdtemp())
         log_path = str(logs_directory / "flow.log")
         with LogContext(log_path, run_mode=RunMode.Test):
@@ -246,3 +263,4 @@ def test_async_log_in_worker_thread(self):
             # Below log is created by worker thread
             logs_list = ["INFO     monitor_long_running_coroutine started"]
             assert all(log in log_content for log in logs_list)
+        os.environ.pop("PF_LONG_RUNNING_LOGGING_INTERVAL")
diff --git a/src/promptflow/tests/executor/e2etests/test_script_tool_generator.py b/src/promptflow/tests/executor/e2etests/test_script_tool_generator.py
index 1c02e7acd92..c104211ed4a 100644
--- a/src/promptflow/tests/executor/e2etests/test_script_tool_generator.py
+++ b/src/promptflow/tests/executor/e2etests/test_script_tool_generator.py
@@ -12,8 +12,8 @@
 @pytest.mark.e2etest
 class TestScriptToolGenerator:
     def test_generate_script_tool_meta_with_dynamic_list(self):
-        tool_path = (TOOL_ROOT / "tool_with_dynamic_list_input.py").as_posix()
-        tool_meta = generate_tool_meta_dict_by_file(tool_path, "python")
+        tool_path = TOOL_ROOT / "tool_with_dynamic_list_input.py"
+        tool_meta = generate_tool_meta_dict_by_file(tool_path.as_posix(), "python")
         expect_tool_meta = {
             "name": "tool_with_dynamic_list_input",
             "type": "python",
@@ -24,7 +24,7 @@ def test_generate_script_tool_meta_with_dynamic_list(self):
                     "is_multi_select": True,
                     "allow_manual_entry": True,
                     "dynamic_list": {
-                        "func_path": "my_list_func",
+                        "func_path": f"{tool_path.absolute()}:my_list_func",
                         "func_kwargs": [
                             {
                                 "name": "prefix",
@@ -40,7 +40,7 @@ def test_generate_script_tool_meta_with_dynamic_list(self):
                 "endpoint_name": {
                     "type": ["string"],
                     "dynamic_list": {
-                        "func_path": "list_endpoint_names",
+                        "func_path": f"{tool_path.absolute()}:list_endpoint_names",
                         "func_kwargs": [
                             {
                                 "name": "prefix",
@@ -54,7 +54,7 @@ def test_generate_script_tool_meta_with_dynamic_list(self):
                 },
             },
             "description": "This is my tool with dynamic list input",
-            "source": tool_path,
+            "source": tool_path.as_posix(),
             "function": "my_tool",
         }
         assert expect_tool_meta == tool_meta
@@ -77,8 +77,8 @@ def test_generate_script_tool_meta_with_enabled_by_value(self):
         assert expect_tool_meta == tool_meta
 
     def test_generate_script_tool_meta_with_generated_by(self):
-        tool_path = (TOOL_ROOT / "tool_with_generated_by_input.py").as_posix()
-        tool_meta = generate_tool_meta_dict_by_file(tool_path, "python")
+        tool_path = TOOL_ROOT / "tool_with_generated_by_input.py"
+        tool_meta = generate_tool_meta_dict_by_file((tool_path).as_posix(), "python")
         expect_tool_meta = {
             "name": "tool_with_generated_by_input",
             "type": "python",
@@ -86,7 +86,7 @@ def test_generate_script_tool_meta_with_generated_by(self):
                 "index_json": {
                     "type": ["string"],
                     "generated_by": {
-                        "func_path": "generate_index_json",
+                        "func_path": f"{tool_path.absolute()}:generate_index_json",
                         "func_kwargs": [
                             {
                                 "name": "index_type",
@@ -144,20 +144,20 @@ def test_generate_script_tool_meta_with_generated_by(self):
                                 "optional": True,
                             },
                         ],
-                        "reverse_func_path": "reverse_generate_index_json",
+                        "reverse_func_path": f"{tool_path.absolute()}:reverse_generate_index_json",
                     },
                 },
                 "queries": {"type": ["string"]},
                 "top_k": {"type": ["int"]},
                 "index_type": {
-                    "dynamic_list": {"func_path": "list_index_types"},
+                    "dynamic_list": {"func_path": f"{tool_path.absolute()}:list_index_types"},
                     "type": ["string"],
                     "input_type": "uionly_hidden",
                 },
                 "index": {
                     "enabled_by": "index_type",
                     "enabled_by_value": ["Workspace MLIndex"],
-                    "dynamic_list": {"func_path": "list_indexes"},
+                    "dynamic_list": {"func_path": f"{tool_path.absolute()}:list_indexes"},
                     "type": ["string"],
                     "input_type": "uionly_hidden",
                 },
@@ -176,28 +176,28 @@ def test_generate_script_tool_meta_with_generated_by(self):
                 "content_field": {
                     "enabled_by": "index_type",
                     "enabled_by_value": ["Azure Cognitive Search"],
-                    "dynamic_list": {"func_path": "list_fields"},
+                    "dynamic_list": {"func_path": f"{tool_path.absolute()}:list_fields"},
                     "type": ["string"],
                     "input_type": "uionly_hidden",
                 },
                 "embedding_field": {
                     "enabled_by": "index_type",
                     "enabled_by_value": ["Azure Cognitive Search"],
-                    "dynamic_list": {"func_path": "list_fields"},
+                    "dynamic_list": {"func_path": f"{tool_path.absolute()}:list_fields"},
                     "type": ["string"],
                     "input_type": "uionly_hidden",
                 },
                 "metadata_field": {
                     "enabled_by": "index_type",
                     "enabled_by_value": ["Azure Cognitive Search"],
-                    "dynamic_list": {"func_path": "list_fields"},
+                    "dynamic_list": {"func_path": f"{tool_path.absolute()}:list_fields"},
                     "type": ["string"],
                     "input_type": "uionly_hidden",
                 },
                 "semantic_configuration": {
                     "enabled_by": "index_type",
                     "enabled_by_value": ["Azure Cognitive Search"],
-                    "dynamic_list": {"func_path": "list_semantic_configuration"},
+                    "dynamic_list": {"func_path": f"{tool_path.absolute()}:list_semantic_configuration"},
                     "type": ["string"],
                     "input_type": "uionly_hidden",
                 },
@@ -211,7 +211,7 @@ def test_generate_script_tool_meta_with_generated_by(self):
                     "enabled_by": "index_type",
                     "enabled_by_value": ["Azure Cognitive Search"],
                     "dynamic_list": {
-                        "func_path": "list_embedding_deployment",
+                        "func_path": f"{tool_path.absolute()}:list_embedding_deployment",
                         "func_kwargs": [
                             {
                                 "name": "embedding_connection",
@@ -226,7 +226,7 @@ def test_generate_script_tool_meta_with_generated_by(self):
                 },
             },
             "description": "This is a tool with generated by input",
-            "source": tool_path,
+            "source": tool_path.as_posix(),
             "function": "my_tool",
         }
         assert expect_tool_meta == tool_meta
@@ -245,12 +245,15 @@ def test_generate_script_tool_meta_with_invalid_enabled_by(self):
         assert 'Cannot find the input "invalid_input" for the enabled_by of student_id.' in ex.value.message
 
     def test_generate_script_tool_meta_with_invalid_dynamic_list(self):
-        tool_path = (TOOL_ROOT / "tool_with_invalid_dynamic_list.py").as_posix()
+        tool_path = TOOL_ROOT / "tool_with_invalid_dynamic_list.py"
         with pytest.raises(UserErrorException) as ex:
-            generate_tool_meta_dict_by_file(tool_path, "python")
+            generate_tool_meta_dict_by_file(tool_path.as_posix(), "python")
         assert "Cannot find invalid_tool_input in tool inputs." in ex.value.message
         assert "Missing required input(s) of dynamic_list function: ['prefix']" in ex.value.message
-        assert "Cannot find invalid_func_input in the inputs of dynamic_list func my_list_func" in ex.value.message
+        assert (
+            f"Cannot find invalid_func_input in the inputs of dynamic_list func {tool_path.absolute()}:my_list_func"
+            in ex.value.message
+        )
 
     def test_generate_script_tool_meta_with_invalid_schema(self):
         tool_path = (TOOL_ROOT / "tool_with_invalid_schema.py").as_posix()
diff --git a/src/promptflow/tests/executor/e2etests/test_telemetry.py b/src/promptflow/tests/executor/e2etests/test_telemetry.py
index 9e64d2a5b86..12214f5eb25 100644
--- a/src/promptflow/tests/executor/e2etests/test_telemetry.py
+++ b/src/promptflow/tests/executor/e2etests/test_telemetry.py
@@ -8,15 +8,16 @@
 
 import pytest
 
-from promptflow._core.operation_context import OperationContext
-from promptflow.batch._batch_engine import OUTPUT_FILE_NAME, BatchEngine
+from promptflow._constants import OUTPUT_FILE_NAME
+from promptflow.batch._batch_engine import BatchEngine
 from promptflow.batch._result import BatchResult
 from promptflow.contracts.run_mode import RunMode
 from promptflow.executor import FlowExecutor
 from promptflow.executor._line_execution_process_pool import _process_wrapper
 from promptflow.executor._process_manager import create_spawned_fork_process_manager
+from promptflow.tracing._operation_context import OperationContext
 
-from ..process_utils import enable_mock_in_process
+from ..process_utils import override_process_pool_targets
 from ..utils import get_flow_folder, get_flow_inputs_file, get_yaml_file, load_jsonl
 
 IS_LEGACY_OPENAI = version("openai").startswith("0.")
@@ -116,7 +117,7 @@ def test_executor_openai_telemetry(self, dev_connections):
             assert "ms-azure-ai-promptflow-scenario" not in promptflow_headers
             assert promptflow_headers.get("run_mode") == RunMode.SingleNode.name
 
-    def test_executor_openai_telemetry_with_batch_run(self, dev_connections):
+    def test_executor_openai_telemetry_with_batch_run(self, dev_connections, recording_injection):
         """This test validates telemetry info header is correctly injected to OpenAI API
         by mocking chat api method. The mock method will return a generator that yields a
         namedtuple with a json string of the headers passed to the method.
@@ -125,13 +126,13 @@ def test_executor_openai_telemetry_with_batch_run(self, dev_connections):
 
         operation_context = OperationContext.get_instance()
         operation_context.clear()
+        operation_context.set_default_tracing_keys({"default_dummy_key"})
         # Set user-defined properties `scenario` in context
         operation_context.scenario = "test"
         operation_context.dummy_key = "dummy_value"
-        operation_context._tracking_keys = OperationContext._DEFAULT_TRACKING_KEYS
         operation_context._tracking_keys.add("dummy_key")
 
-        with enable_mock_in_process(mock_process_wrapper, mock_process_manager):
+        with override_process_pool_targets(mock_process_wrapper, mock_process_manager):
             run_id = str(uuid.uuid4())
             batch_engine = BatchEngine(
                 get_yaml_file(flow_folder), get_flow_folder(flow_folder), connections=dev_connections
diff --git a/src/promptflow/tests/executor/e2etests/test_traces.py b/src/promptflow/tests/executor/e2etests/test_traces.py
index 286e76b82bb..6f97c758a59 100644
--- a/src/promptflow/tests/executor/e2etests/test_traces.py
+++ b/src/promptflow/tests/executor/e2etests/test_traces.py
@@ -1,21 +1,39 @@
 import json
+import multiprocessing
 import sys
+import threading
 import uuid
+from pathlib import Path
 from types import GeneratorType
+from unittest.mock import patch
 
+import opentelemetry.trace as otel_trace
 import pytest
+from opentelemetry.sdk.trace import TracerProvider
+from opentelemetry.sdk.trace.export import SimpleSpanProcessor, SpanExporter, SpanExportResult
 from opentelemetry.trace.status import StatusCode
 
-from promptflow._utils.dataclass_serializer import serialize
 from promptflow._utils.tool_utils import get_inputs_for_prompt_template
+from promptflow.batch._result import BatchResult
 from promptflow.contracts.run_info import Status
 from promptflow.executor import FlowExecutor
+from promptflow.executor._line_execution_process_pool import _process_wrapper
+from promptflow.executor._process_manager import create_spawned_fork_process_manager
 from promptflow.executor._result import LineResult
 from promptflow.tracing import trace
+from promptflow.tracing._utils import serialize
 from promptflow.tracing.contracts.trace import TraceType
 
-from ..process_utils import execute_function_in_subprocess
-from ..utils import get_flow_folder, get_flow_sample_inputs, get_yaml_file, prepare_memory_exporter, load_content
+from ..process_utils import execute_function_in_subprocess, override_process_pool_targets
+from ..utils import (
+    MemoryRunStorage,
+    get_flow_folder,
+    get_flow_sample_inputs,
+    get_yaml_file,
+    load_content,
+    prepare_memory_exporter,
+    submit_batch_run,
+)
 
 LLM_FUNCTION_NAMES = [
     "openai.resources.chat.completions.Completions.create",
@@ -30,14 +48,16 @@
 ]
 
 LLM_TOKEN_NAMES = [
-    "llm.token_count.prompt",
-    "llm.token_count.completion",
-    "llm.token_count.total",
+    "llm.usage.prompt_tokens",
+    "llm.usage.completion_tokens",
+    "llm.usage.total_tokens",
+    "llm.response.model",
 ]
 
 EMBEDDING_TOKEN_NAMES = [
-    "embedding.token_count.prompt",
-    "embedding.token_count.total",
+    "llm.usage.prompt_tokens",
+    "llm.usage.total_tokens",
+    "llm.response.model",
 ]
 
 CUMULATIVE_LLM_TOKEN_NAMES = [
@@ -56,6 +76,57 @@
     "AzureOpenAI.chat",
 ]
 
+lock = multiprocessing.Lock()
+
+
+class JsonSpanExporter(SpanExporter):
+    _lock = threading.Lock()
+
+    def __init__(self, file_path):
+        self.file_path = file_path
+
+    def export(self, spans):
+        try:
+            if self._lock:
+                with open(self.file_path, "a") as f:
+                    for span in spans:
+                        f.write(span.to_json() + "\n\n")
+            return SpanExportResult.SUCCESS
+        except Exception:
+            return SpanExportResult.FAILURE
+
+    def shutdown(self):
+        pass
+
+
+def mock_exporter_for_batch_tracing():
+    patch_targets = {
+        "promptflow.executor.flow_executor.setup_exporter_from_environ": mock_setup_exporter_from_environ,
+    }
+    for target, func in patch_targets.items():
+        patcher = patch(target, func)
+        patcher.start()
+
+
+def mock_setup_exporter_from_environ():
+    with lock:
+        idx = len(list(Path("./.span").glob("*.jsonl")))
+        Path(f"./.span/line_span_{idx}.jsonl").touch()
+    tracer_provider = TracerProvider()
+    json_exporter = JsonSpanExporter(file_path=f"./.span/line_span_{idx}.jsonl")
+    tracer_provider.add_span_processor(SimpleSpanProcessor(json_exporter))
+    otel_trace.set_tracer_provider(tracer_provider)
+
+
+def mock_process_wrapper(*args, **kwargs):
+    mock_exporter_for_batch_tracing()
+    _process_wrapper(*args, **kwargs)
+
+
+def mock_process_manager(*args, **kwargs):
+    mock_exporter_for_batch_tracing()
+    create_spawned_fork_process_manager(*args, **kwargs)
+
 
 def get_chat_input(stream):
     return {
@@ -65,7 +136,7 @@ def get_chat_input(stream):
     }
 
 
-def get_comletion_input(stream):
+def get_completion_input(stream):
     return {"prompt": "What is the capital of the United States of America?", "stream": stream}
 
 
@@ -79,7 +150,7 @@ def sub_level_function():
     return "Hello, World!"
 
 
-@pytest.mark.usefixtures("dev_connections")
+@pytest.mark.usefixtures("dev_connections", "recording_injection")
 @pytest.mark.e2etest
 class TestExecutorTraces:
     def validate_openai_apicall(self, apicall: dict):
@@ -95,11 +166,11 @@ def validate_openai_apicall(self, apicall: dict):
         """
         get_trace = False
         if apicall.get("name", "") in (
-            "openai.api_resources.chat_completion.ChatCompletion.create",
-            "openai.api_resources.completion.Completion.create",
-            "openai.api_resources.embedding.Embedding.create",
-            "openai.resources.completions.Completions.create",  # openai>=1.0.0
-            "openai.resources.chat.completions.Completions.create",  # openai>=1.0.0
+            "openai_completion_legacy",
+            "openai_chat_legacy",
+            "openai_embedding_legacy",
+            "openai_chat",  # openai>=1.0.0
+            "openai_completion",  # openai>=1.0.0
         ):
             get_trace = True
             output = apicall.get("output")
@@ -121,8 +192,8 @@ def validate_openai_apicall(self, apicall: dict):
         [
             ("openai_chat_api_flow", get_chat_input(False)),
             ("openai_chat_api_flow", get_chat_input(True)),
-            ("openai_completion_api_flow", get_comletion_input(False)),
-            ("openai_completion_api_flow", get_comletion_input(True)),
+            ("openai_completion_api_flow", get_completion_input(False)),
+            ("openai_completion_api_flow", get_completion_input(True)),
             ("llm_tool", {"topic": "Hello", "stream": False}),
             ("llm_tool", {"topic": "Hello", "stream": True}),
         ],
@@ -256,7 +327,7 @@ def test_flow_with_trace(self, flow_file, dev_connections):
         # Assert the "greetings" tool
         greetings_trace = flow_trace["children"][0]
         assert greetings_trace["name"] == "greetings"
-        assert greetings_trace["type"] == "Tool"
+        assert greetings_trace["type"] == "Function"
         assert greetings_trace["inputs"] == inputs
         assert greetings_trace["output"] == {"greeting": "Hello, User 1!"}
         assert greetings_trace["error"] is None
@@ -313,7 +384,7 @@ def test_flow_with_trace(self, flow_file, dev_connections):
             )
 
 
-@pytest.mark.usefixtures("dev_connections")
+@pytest.mark.usefixtures("dev_connections", "recording_injection")
 @pytest.mark.e2etest
 class TestOTelTracer:
     @pytest.mark.parametrize(
@@ -350,7 +421,7 @@ def assert_otel_traces(self, dev_connections, flow_file, inputs, expected_span_l
             ("llm_tool", {"topic": "Hello", "stream": False}, "joke.jinja2"),
             # Add back this test case after changing the interface of render_template_jinja2
             # ("prompt_tools", {"text": "test"}, "summarize_text_content_prompt.jinja2"),
-        ]
+        ],
     )
     def test_otel_trace_with_prompt(
         self,
@@ -360,7 +431,11 @@ def test_otel_trace_with_prompt(
         prompt_tpl_file,
     ):
         execute_function_in_subprocess(
-            self.assert_otel_traces_with_prompt, dev_connections, flow_file, inputs, prompt_tpl_file
+            self.assert_otel_traces_with_prompt,
+            dev_connections,
+            flow_file,
+            inputs,
+            prompt_tpl_file,
         )
 
     def assert_otel_traces_with_prompt(self, dev_connections, flow_file, inputs, prompt_tpl_file):
@@ -385,12 +460,14 @@ def assert_otel_traces_with_prompt(self, dev_connections, flow_file, inputs, pro
                         assert var in span.attributes["prompt.variables"]
 
     @pytest.mark.parametrize(
-        "flow_file, inputs, expected_span_length",
+        "flow_file, inputs, is_stream, expected_span_length",
         [
-            ("openai_chat_api_flow", get_chat_input(False), 3),
-            ("openai_completion_api_flow", get_comletion_input(False), 3),
-            ("llm_tool", {"topic": "Hello", "stream": False}, 4),
-            ("flow_with_async_llm_tasks", get_flow_sample_inputs("flow_with_async_llm_tasks"), 6),
+            ("openai_chat_api_flow", get_chat_input(False), False, 3),
+            ("openai_chat_api_flow", get_chat_input(True), True, 4),
+            ("openai_completion_api_flow", get_completion_input(False), False, 3),
+            ("openai_completion_api_flow", get_completion_input(True), True, 4),
+            ("llm_tool", {"topic": "Hello", "stream": False}, False, 4),
+            ("flow_with_async_llm_tasks", get_flow_sample_inputs("flow_with_async_llm_tasks"), False, 6),
         ],
     )
     def test_otel_trace_with_llm(
@@ -398,13 +475,19 @@ def test_otel_trace_with_llm(
         dev_connections,
         flow_file,
         inputs,
+        is_stream,
         expected_span_length,
     ):
         execute_function_in_subprocess(
-            self.assert_otel_traces_with_llm, dev_connections, flow_file, inputs, expected_span_length
+            self.assert_otel_traces_with_llm,
+            dev_connections,
+            flow_file,
+            inputs,
+            is_stream,
+            expected_span_length,
         )
 
-    def assert_otel_traces_with_llm(self, dev_connections, flow_file, inputs, expected_span_length):
+    def assert_otel_traces_with_llm(self, dev_connections, flow_file, inputs, is_stream, expected_span_length):
         memory_exporter = prepare_memory_exporter()
 
         line_result, line_run_id = self.submit_flow_run(flow_file, inputs, dev_connections)
@@ -416,10 +499,7 @@ def assert_otel_traces_with_llm(self, dev_connections, flow_file, inputs, expect
         # We updated the OpenAI tokens (prompt_token/completion_token/total_token) to the span attributes
         # for llm and embedding traces, and aggregate them to the parent span. Use this function to validate
         # the openai tokens are correctly set.
-        self.validate_openai_tokens(span_list)
-        for span in span_list:
-            if span.attributes.get("function", "") in LLM_FUNCTION_NAMES:
-                assert span.attributes.get("llm.model", "") in ["gpt-35-turbo", "text-ada-001"]
+        self.validate_openai_tokens(span_list, is_stream)
 
     @pytest.mark.parametrize(
         "flow_file, inputs, expected_span_length",
@@ -427,7 +507,7 @@ def assert_otel_traces_with_llm(self, dev_connections, flow_file, inputs, expect
             ("openai_embedding_api_flow", {"input": "Hello"}, 3),
             # [9906] is the tokenized version of "Hello"
             ("openai_embedding_api_flow_with_token", {"input": [9906]}, 3),
-        ]
+        ],
     )
     def test_otel_trace_with_embedding(
         self,
@@ -437,7 +517,11 @@ def test_otel_trace_with_embedding(
         expected_span_length,
     ):
         execute_function_in_subprocess(
-            self.assert_otel_traces_with_embedding, dev_connections, flow_file, inputs, expected_span_length
+            self.assert_otel_traces_with_embedding,
+            dev_connections,
+            flow_file,
+            inputs,
+            expected_span_length,
         )
 
     def assert_otel_traces_with_embedding(self, dev_connections, flow_file, inputs, expected_span_length):
@@ -451,7 +535,7 @@ def assert_otel_traces_with_embedding(self, dev_connections, flow_file, inputs,
         self.validate_span_list(span_list, line_run_id, expected_span_length)
         for span in span_list:
             if span.attributes.get("function", "") in EMBEDDING_FUNCTION_NAMES:
-                assert span.attributes.get("embedding.model", "") == "ada"
+                assert "ada" in span.attributes.get("llm.response.model", "")
                 embeddings = span.attributes.get("embedding.embeddings", "")
                 assert "embedding.vector" in embeddings
                 assert "embedding.text" in embeddings
@@ -497,6 +581,82 @@ def assert_otel_traces_run_flow_then_traced_function(self):
             sub_level_span.parent.span_id == top_level_span.context.span_id
         )  # sub_level_span is a child of top_level_span
 
+    def test_flow_with_nested_tool(self):
+        memory_exporter = prepare_memory_exporter()
+
+        line_result, _ = self.submit_flow_run("flow_with_nested_tool", {"input": "Hello"}, {})
+        assert line_result.output == {"output": "Hello"}
+
+        span_list = memory_exporter.get_finished_spans()
+        for span in span_list:
+            if span.attributes.get("span_type", "") != "Flow":
+                inputs = span.attributes.get("inputs", None)
+                if '"recursive_call": false' in inputs:
+                    assert span.name == "nested_tool"
+                else:
+                    assert span.name == "nested_tool_node"
+
+    def test_otel_trace_with_batch(self, dev_connections):
+        flow_file = "flow_with_trace"
+        execute_function_in_subprocess(self.assert_otel_traces_with_batch, dev_connections, flow_file)
+
+    def assert_otel_traces_with_batch(self, dev_connections, flow_file):
+        flow_folder = get_flow_folder(flow_file)
+        if (span_folder := flow_folder / ".span").exists():
+            for file in span_folder.glob("*.jsonl"):
+                file.unlink()
+        else:
+            span_folder.mkdir()
+
+        with override_process_pool_targets(process_manager=mock_process_manager, process_wrapper=mock_process_wrapper):
+            mem_run_storage = MemoryRunStorage()
+            batch_result = submit_batch_run(
+                flow_folder=flow_file,
+                inputs_mapping={"user_id": "${data.user_id}"},
+                input_file_name="inputs.jsonl",
+                connections=dev_connections,
+                storage=mem_run_storage,
+            )
+            assert isinstance(batch_result, BatchResult)
+
+            batch_run_id = list(mem_run_storage._flow_runs.values())[0].root_run_id
+            assert (flow_folder / ".span").exists()
+            trace_ids = []
+            for file in span_folder.glob("*.jsonl"):
+                spans = []
+                with open(file, "r") as f:
+                    json_chunks = f.read().strip().split("\n\n")
+                    for chunk in json_chunks:
+                        spans.append(json.loads(chunk))
+                trace_ids.append(spans[0]["context"]["trace_id"])
+                assert len(spans) == 5, f"Got {len(spans)} spans."
+                root_spans = [span for span in spans if span["parent_id"] is None]
+                assert len(root_spans) == 1
+                root_span = root_spans[0]
+                for span in spans:
+                    span["status"]["status_code"] = "OK"
+                    span["attributes"]["batch_run_id"] = batch_run_id
+                    span["attributes"]["framework"] = "promptflow"
+                    if span["parent_id"] is None:
+                        expected_span_type = "Flow"
+                    elif span["attributes"].get("function", "") in LLM_FUNCTION_NAMES:
+                        expected_span_type = "LLM"
+                    elif span["attributes"].get("function", "") in EMBEDDING_FUNCTION_NAMES:
+                        expected_span_type = "Embedding"
+                    else:
+                        expected_span_type = "Function"
+                    msg = f"span_type: {span['attributes']['span_type']}, expected: {expected_span_type}"
+                    assert span["attributes"]["span_type"] == expected_span_type, msg
+                    if span != root_span:  # Non-root spans should have a parent
+                        assert span["attributes"]["function"]
+                    inputs = json.loads(span["attributes"]["inputs"])
+                    output = json.loads(span["attributes"]["output"])
+                    assert isinstance(inputs, dict)
+                    assert output is not None
+
+            for run_info in mem_run_storage._flow_runs.values():
+                assert f"0x{int(run_info.otel_trace_id, 16):032x}" in trace_ids
+
     def submit_flow_run(self, flow_file, inputs, dev_connections):
         executor = FlowExecutor.create(get_yaml_file(flow_file), dev_connections)
         line_run_id = str(uuid.uuid4())
@@ -515,8 +675,6 @@ def validate_span_list(self, span_list, line_run_id, expected_span_length):
             assert span.attributes["framework"] == "promptflow"
             if span.parent is None:
                 expected_span_type = TraceType.FLOW
-            elif span.parent.span_id == root_span.context.span_id:
-                expected_span_type = TraceType.TOOL
             elif span.attributes.get("function", "") in LLM_FUNCTION_NAMES:
                 expected_span_type = TraceType.LLM
             elif span.attributes.get("function", "") in EMBEDDING_FUNCTION_NAMES:
@@ -532,13 +690,13 @@ def validate_span_list(self, span_list, line_run_id, expected_span_length):
             assert isinstance(inputs, dict)
             assert output is not None
 
-    def validate_openai_tokens(self, span_list):
+    def validate_openai_tokens(self, span_list, is_stream):
         span_dict = {span.context.span_id: span for span in span_list}
         expected_tokens = {}
         for span in span_list:
             tokens = None
             # Validate the openai tokens are correctly set in the llm trace.
-            if span.attributes.get("function", "") in LLM_FUNCTION_NAMES:
+            if self._is_llm_span_with_tokens(span, is_stream):
                 for token_name in LLM_TOKEN_NAMES + CUMULATIVE_LLM_TOKEN_NAMES:
                     assert token_name in span.attributes
                 tokens = {token_name: span.attributes[token_name] for token_name in CUMULATIVE_LLM_TOKEN_NAMES}
@@ -567,3 +725,12 @@ def validate_openai_tokens(self, span_list):
             if span_id in expected_tokens:
                 for token_name in expected_tokens[span_id]:
                     assert span.attributes[token_name] == expected_tokens[span_id][token_name]
+
+    def _is_llm_span_with_tokens(self, span, is_stream):
+        # For streaming mode, there are two spans for openai api call, one is the original span, and the other
+        # is the iterated span, which name is "Iterated(<original_trace_name>)", we should check the iterated span
+        # in streaming mode.
+        if is_stream:
+            return span.attributes.get("function", "") in LLM_FUNCTION_NAMES and span.name.startswith("Iterated(")
+        else:
+            return span.attributes.get("function", "") in LLM_FUNCTION_NAMES
diff --git a/src/promptflow/tests/executor/package_tools/communicate.py b/src/promptflow/tests/executor/package_tools/communicate.py
new file mode 100644
index 00000000000..b5e4ac697a1
--- /dev/null
+++ b/src/promptflow/tests/executor/package_tools/communicate.py
@@ -0,0 +1,15 @@
+from promptflow import ToolProvider, tool
+from promptflow.core._connection import AzureOpenAIConnection
+
+
+class Communication(ToolProvider):
+    def __init__(self, connection: AzureOpenAIConnection):
+        super().__init__()
+        self.connection = connection
+
+    @tool
+    def say_hello(self, connection_2: AzureOpenAIConnection):
+        """say hello to the world or someone else"""
+        assert isinstance(self.connection, AzureOpenAIConnection)
+        assert isinstance(connection_2, AzureOpenAIConnection)
+        return "Hello World!"
diff --git a/src/promptflow/tests/executor/process_utils.py b/src/promptflow/tests/executor/process_utils.py
index 6710c1cab66..a7024568bd4 100644
--- a/src/promptflow/tests/executor/process_utils.py
+++ b/src/promptflow/tests/executor/process_utils.py
@@ -1,4 +1,5 @@
 import contextlib
+import contextvars
 import multiprocessing
 import traceback
 from multiprocessing import Queue, get_context
@@ -6,6 +7,8 @@
 from promptflow.executor._line_execution_process_pool import _process_wrapper
 from promptflow.executor._process_manager import create_spawned_fork_process_manager
 
+from .record_utils import setup_recording
+
 
 def _run_in_subprocess(error_queue: Queue, func, args, kwargs):
     try:
@@ -14,6 +17,15 @@ def _run_in_subprocess(error_queue: Queue, func, args, kwargs):
         error_queue.put((repr(e), traceback.format_exc()))
 
 
+def _run_in_subprocess_with_recording(*args, **kwargs):
+    process_class_dict = {"spawn": MockSpawnProcess, "forkserver": MockForkServerProcess}
+    override_process_class(process_class_dict)
+
+    # recording injection again since this method is running in a new process
+    setup_recording()
+    _run_in_subprocess(*args, **kwargs)
+
+
 def execute_function_in_subprocess(func, *args, **kwargs):
     """
     Execute a function in a new process and return any exception that occurs.
@@ -21,7 +33,7 @@ def execute_function_in_subprocess(func, *args, **kwargs):
     """
     ctx = get_context("spawn")
     error_queue = ctx.Queue()
-    process = ctx.Process(target=_run_in_subprocess, args=(error_queue, func, args, kwargs))
+    process = ctx.Process(target=_run_in_subprocess_with_recording, args=(error_queue, func, args, kwargs))
     process.start()
     process.join()  # Wait for the process to finish
 
@@ -41,8 +53,11 @@ def execute_function_in_subprocess(func, *args, **kwargs):
     ForkServerProcess = multiprocessing.get_context("forkserver").Process
 
 
-current_process_wrapper = _process_wrapper
-current_process_manager = create_spawned_fork_process_manager
+# Define context variables with default values
+current_process_wrapper_var = contextvars.ContextVar("current_process_wrapper", default=_process_wrapper)
+current_process_manager_var = contextvars.ContextVar(
+    "current_process_manager", default=create_spawned_fork_process_manager
+)
 
 
 class BaseMockProcess:
@@ -51,9 +66,9 @@ def modify_target(self, target):
         # Method to modify the target of the mock process
         # This shall be the place to hold the target mocking logic
         if target == _process_wrapper:
-            return current_process_wrapper
+            return current_process_wrapper_var.get()
         if target == create_spawned_fork_process_manager:
-            return current_process_manager
+            return current_process_manager_var.get()
         return target
 
 
@@ -69,28 +84,34 @@ def __init__(self, group=None, target=None, *args, **kwargs):
         super().__init__(group, modified_target, *args, **kwargs)
 
 
-@contextlib.contextmanager
-def enable_mock_in_process(process_wrapper=None, process_manager=None):
-    global current_process_wrapper, current_process_manager
-
-    if process_wrapper is not None:
-        current_process_wrapper = process_wrapper
-    if process_manager is not None:
-        current_process_manager = process_manager
-
-    start_methods_mocks = {"spawn": MockSpawnProcess, "forkserver": MockForkServerProcess}
+def override_process_class(process_class_dict: dict):
     original_process_class = {}
-    for start_method, MockProcessClass in start_methods_mocks.items():
+    for start_method, MockProcessClass in process_class_dict.items():
         if start_method in multiprocessing.get_all_start_methods():
             original_process_class[start_method] = multiprocessing.get_context(start_method).Process
             multiprocessing.get_context(start_method).Process = MockProcessClass
             if start_method == multiprocessing.get_start_method():
                 multiprocessing.Process = MockProcessClass
+    return original_process_class
+
+
+@contextlib.contextmanager
+def override_process_pool_targets(process_wrapper=None, process_manager=None):
+    """
+    Context manager to override the process pool targets for the current context
+
+    """
+    original_process_wrapper = current_process_wrapper_var.get()
+    original_process_manager = current_process_manager_var.get()
+
+    if process_wrapper is not None:
+        current_process_wrapper_var.set(process_wrapper)
+    if process_manager is not None:
+        current_process_manager_var.set(process_manager)
+
     try:
         yield
     finally:
-        for start_method, MockProcessClass in start_methods_mocks.items():
-            if start_method in multiprocessing.get_all_start_methods():
-                multiprocessing.get_context(start_method).Process = original_process_class[start_method]
-                if start_method == multiprocessing.get_start_method():
-                    multiprocessing.Process = original_process_class[start_method]
+        # Revert back to the original states
+        current_process_wrapper_var.set(original_process_wrapper)
+        current_process_manager_var.set(original_process_manager)
diff --git a/src/promptflow/tests/executor/record_utils.py b/src/promptflow/tests/executor/record_utils.py
new file mode 100644
index 00000000000..6abfe3231cd
--- /dev/null
+++ b/src/promptflow/tests/executor/record_utils.py
@@ -0,0 +1,73 @@
+from pathlib import Path
+from unittest.mock import patch
+
+from promptflow.tracing._integrations._openai_injector import inject_openai_api
+
+try:
+    from promptflow.recording.record_mode import is_live, is_record, is_replay
+except ImportError:
+    # Run test in empty mode if promptflow-recording is not installed
+
+    def is_live():
+        return False
+
+    def is_record():
+        return False
+
+    def is_replay():
+        return False
+
+
+PROMPTFLOW_ROOT = Path(__file__) / "../../.."
+RECORDINGS_TEST_CONFIGS_ROOT = Path(PROMPTFLOW_ROOT / "../promptflow-recording/recordings/local").resolve()
+
+
+def setup_recording():
+    patches = []
+
+    def start_patches(patch_targets):
+        # Functions to setup the mock for list of targets
+        for target, mock_func in patch_targets.items():
+            patcher = patch(target, mock_func)
+            patches.append(patcher)
+            patcher.start()
+
+    if is_replay() or is_record():
+        # For replay and record mode, we setup two patches:
+        # 1) mocked_tool setup
+        # 2) openai_injector realted mock
+        from promptflow.recording.local import (
+            RecordStorage,
+            inject_async_with_recording,
+            inject_sync_with_recording,
+            mock_tool,
+        )
+
+        file_path = RECORDINGS_TEST_CONFIGS_ROOT / "executor_node_cache.shelve"
+        RecordStorage.get_instance(file_path)
+
+        from promptflow._core.tool import tool as original_tool
+
+        mocked_tool = mock_tool(original_tool)
+        patch_targets = {
+            "promptflow._core.tool.tool": mocked_tool,
+            "promptflow._internal.tool": mocked_tool,
+            "promptflow.tool": mocked_tool,
+            "promptflow.tracing._integrations._openai_injector.inject_sync": inject_sync_with_recording,
+            "promptflow.tracing._integrations._openai_injector.inject_async": inject_async_with_recording,
+        }
+        start_patches(patch_targets)
+        inject_openai_api()
+
+    if is_live():
+        # For live mode, we setup openai_injector mock for token collection purpose
+        from promptflow.recording.local import inject_async_with_recording, inject_sync_with_recording
+
+        patch_targets = {
+            "promptflow.tracing._integrations._openai_injector.inject_sync": inject_sync_with_recording,
+            "promptflow.tracing._integrations._openai_injector.inject_async": inject_async_with_recording,
+        }
+        start_patches(patch_targets)
+        inject_openai_api()
+
+    return patches
diff --git a/src/promptflow/tests/executor/unittests/_core/test_api_injector.py b/src/promptflow/tests/executor/unittests/_core/test_api_injector.py
index 939b3eaf9cc..0001e7231e6 100644
--- a/src/promptflow/tests/executor/unittests/_core/test_api_injector.py
+++ b/src/promptflow/tests/executor/unittests/_core/test_api_injector.py
@@ -1,33 +1,14 @@
-import json
-import logging
 from collections import namedtuple
 from importlib.metadata import version
-from types import GeneratorType
-from unittest.mock import MagicMock, patch
+from unittest.mock import patch
 
-import openai
 import pytest
 
-from promptflow._core.operation_context import OperationContext
-from promptflow._version import VERSION
 from promptflow.connections import AzureOpenAIConnection
 from promptflow.exceptions import UserErrorException
 from promptflow.tools.aoai import AzureOpenAI
 from promptflow.tools.embedding import embedding
-from promptflow.tracing._openai_injector import (
-    PROMPTFLOW_HEADER,
-    USER_AGENT_HEADER,
-    _generate_api_and_injector,
-    _openai_api_list,
-    get_aoai_telemetry_headers,
-    inject_async,
-    inject_openai_api,
-    inject_operation_headers,
-    inject_sync,
-    recover_openai_api,
-)
-from promptflow.tracing._tracer import Tracer
-from promptflow.tracing.contracts.trace import TraceType
+from promptflow.tracing._integrations._openai_injector import inject_openai_api
 
 IS_LEGACY_OPENAI = version("openai").startswith("0.")
 
@@ -38,199 +19,6 @@ def create(self):
         pass
 
 
-@pytest.mark.unittest
-def test_inject_operation_headers_sync():
-    @inject_operation_headers
-    def f(**kwargs):
-        return kwargs
-
-    if IS_LEGACY_OPENAI:
-        headers = "headers"
-        kwargs_1 = {"headers": {"a": 1, "b": 2}}
-        kwargs_2 = {"headers": {"ms-azure-ai-promptflow-called-from": "aoai-tool"}}
-    else:
-        headers = "extra_headers"
-        kwargs_1 = {"extra_headers": {"a": 1, "b": 2}}
-        kwargs_2 = {"extra_headers": {"ms-azure-ai-promptflow-called-from": "aoai-tool"}}
-
-    injected_headers = get_aoai_telemetry_headers()
-    assert f(a=1, b=2) == {"a": 1, "b": 2, headers: injected_headers}
-
-    merged_headers = {**injected_headers, "a": 1, "b": 2}
-    assert f(**kwargs_1) == {headers: merged_headers}
-
-    aoai_tools_headers = injected_headers.copy()
-    aoai_tools_headers.update({"ms-azure-ai-promptflow-called-from": "aoai-tool"})
-    assert f(**kwargs_2) == {headers: aoai_tools_headers}
-
-
-@pytest.mark.unittest
-@pytest.mark.asyncio
-async def test_inject_operation_headers_async():
-    @inject_operation_headers
-    async def f(**kwargs):
-        return kwargs
-
-    if IS_LEGACY_OPENAI:
-        headers = "headers"
-        kwargs_1 = {"headers": {"a": 1, "b": 2}}
-        kwargs_2 = {"headers": {"ms-azure-ai-promptflow-called-from": "aoai-tool"}}
-    else:
-        headers = "extra_headers"
-        kwargs_1 = {"extra_headers": {"a": 1, "b": 2}}
-        kwargs_2 = {"extra_headers": {"ms-azure-ai-promptflow-called-from": "aoai-tool"}}
-
-    injected_headers = get_aoai_telemetry_headers()
-    assert await f(a=1, b=2) == {"a": 1, "b": 2, headers: injected_headers}
-
-    merged_headers = {**injected_headers, "a": 1, "b": 2}
-    assert await f(**kwargs_1) == {headers: merged_headers}
-
-    aoai_tools_headers = injected_headers.copy()
-    aoai_tools_headers.update({"ms-azure-ai-promptflow-called-from": "aoai-tool"})
-    assert await f(**kwargs_2) == {headers: aoai_tools_headers}
-
-
-@pytest.mark.unittest
-def test_aoai_generator_proxy_sync():
-    def mock_aoai(**kwargs):
-        # check if args has a stream parameter
-        if "stream" in kwargs and kwargs["stream"]:
-            # stream parameter is true, yield a string
-            def generator():
-                yield "This is a yielded string"
-
-            return generator()
-        else:
-            # stream parameter is false or not given, return a string
-            return "This is a returned string"
-
-    if IS_LEGACY_OPENAI:
-        apis = ["openai.Completion.create", "openai.ChatCompletion.create", "openai.Embedding.create"]
-    else:
-        apis = [
-            "openai.resources.Completions.create",
-            "openai.resources.chat.Completions.create",
-            "openai.resources.Embeddings.create",
-        ]
-
-    with patch(apis[0], new=mock_aoai), patch(apis[1], new=mock_aoai), patch(apis[2], new=mock_aoai):
-        Tracer.start_tracing("mock_run_id")
-        inject_openai_api()
-
-        if IS_LEGACY_OPENAI:
-            return_string = openai.Completion.create(stream=False)
-            return_generator = openai.Completion.create(stream=True)
-        else:
-            return_string = openai.resources.Completions.create(stream=False)
-            return_generator = openai.resources.Completions.create(stream=True)
-
-        assert return_string == "This is a returned string"
-        assert isinstance(return_generator, GeneratorType)
-
-        for _ in return_generator:
-            pass
-
-        traces = Tracer.end_tracing()
-        assert len(traces) == 2
-        for trace in traces:
-            assert trace["type"] == "LLM"
-            if trace["inputs"]["stream"]:
-                assert trace["output"] == ["This is a yielded string"]
-            else:
-                assert trace["output"] == "This is a returned string"
-
-
-@pytest.mark.unittest
-@pytest.mark.asyncio
-async def test_aoai_generator_proxy_async():
-    async def mock_aoai(**kwargs):
-        # check if args has a stream parameter
-        if "stream" in kwargs and kwargs["stream"]:
-            # stream parameter is true, yield a string
-            def generator():
-                yield "This is a yielded string"
-
-            return generator()
-        else:
-            # stream parameter is false or not given, return a string
-            return "This is a returned string"
-
-    if IS_LEGACY_OPENAI:
-        apis = ["openai.Completion.acreate", "openai.ChatCompletion.acreate", "openai.Embedding.acreate"]
-    else:
-        apis = [
-            "openai.resources.AsyncCompletions.create",
-            "openai.resources.chat.AsyncCompletions.create",
-            "openai.resources.AsyncEmbeddings.create",
-        ]
-
-    with patch(apis[0], new=mock_aoai), patch(apis[1], new=mock_aoai), patch(apis[2], new=mock_aoai):
-        Tracer.start_tracing("mock_run_id")
-        inject_openai_api()
-
-        if IS_LEGACY_OPENAI:
-            return_string = await openai.Completion.acreate(stream=False)
-            return_generator = await openai.Completion.acreate(stream=True)
-        else:
-            return_string = await openai.resources.AsyncCompletions.create(stream=False)
-            return_generator = await openai.resources.AsyncCompletions.create(stream=True)
-
-        assert return_string == "This is a returned string"
-        assert isinstance(return_generator, GeneratorType)
-
-        for _ in return_generator:
-            pass
-
-        traces = Tracer.end_tracing()
-        assert len(traces) == 2
-        for trace in traces:
-            assert trace["type"] == "LLM"
-            if trace["inputs"]["stream"]:
-                assert trace["output"] == ["This is a yielded string"]
-            else:
-                assert trace["output"] == "This is a returned string"
-
-
-@pytest.mark.unittest
-def test_aoai_call_inject():
-    if IS_LEGACY_OPENAI:
-        headers = "headers"
-        apis = ["openai.Completion.create", "openai.ChatCompletion.create", "openai.Embedding.create"]
-    else:
-        headers = "extra_headers"
-        apis = [
-            "openai.resources.Completions.create",
-            "openai.resources.chat.Completions.create",
-            "openai.resources.Embeddings.create",
-        ]
-
-    def mock_aoai(**kwargs):
-        return kwargs.get(headers)
-
-    with patch(apis[0], new=mock_aoai), patch(apis[1], new=mock_aoai), patch(apis[2], new=mock_aoai):
-        inject_openai_api()
-        injected_headers = get_aoai_telemetry_headers()
-
-        if IS_LEGACY_OPENAI:
-            return_headers_1 = openai.Completion.create(headers=None)
-            return_headers_2 = openai.ChatCompletion.create(headers="abc")
-            return_headers_3 = openai.Embedding.create(headers=1)
-        else:
-            return_headers_1 = openai.resources.Completions.create(extra_headers=None)
-            return_headers_2 = openai.resources.chat.Completions.create(extra_headers="abc")
-            return_headers_3 = openai.resources.Embeddings.create(extra_headers=1)
-
-        assert return_headers_1 is not None
-        assert injected_headers.items() <= return_headers_1.items()
-
-        assert return_headers_2 is not None
-        assert injected_headers.items() <= return_headers_2.items()
-
-        assert return_headers_3 is not None
-        assert injected_headers.items() <= return_headers_3.items()
-
-
 @pytest.mark.unittest
 def test_aoai_tool_header():
     def mock_complete(*args, **kwargs):
@@ -304,230 +92,3 @@ def mock_chat(*args, **kwargs):
             AzureOpenAI(AzureOpenAIConnection(api_key="test", api_base="test")).chat(
                 prompt="user:", deployment_name="test"
             )
-
-
-# The new generator-based test function
-@pytest.mark.parametrize(
-    "is_legacy, expected_apis_with_injectors",
-    [
-        (
-            True,
-            [
-                (
-                    (
-                        ("openai", "Completion", "create", TraceType.LLM),
-                        ("openai", "ChatCompletion", "create", TraceType.LLM),
-                        ("openai", "Embedding", "create", TraceType.EMBEDDING),
-                    ),
-                    inject_sync,
-                ),
-                (
-                    (
-                        ("openai", "Completion", "acreate", TraceType.LLM),
-                        ("openai", "ChatCompletion", "acreate", TraceType.LLM),
-                        ("openai", "Embedding", "acreate", TraceType.EMBEDDING),
-                    ),
-                    inject_async,
-                ),
-            ],
-        ),
-        (
-            False,
-            [
-                (
-                    (
-                        ("openai.resources.chat", "Completions", "create", TraceType.LLM),
-                        ("openai.resources", "Completions", "create", TraceType.LLM),
-                        ("openai.resources", "Embeddings", "create", TraceType.EMBEDDING),
-                    ),
-                    inject_sync,
-                ),
-                (
-                    (
-                        ("openai.resources.chat", "AsyncCompletions", "create", TraceType.LLM),
-                        ("openai.resources", "AsyncCompletions", "create", TraceType.LLM),
-                        ("openai.resources", "AsyncEmbeddings", "create", TraceType.EMBEDDING),
-                    ),
-                    inject_async,
-                ),
-            ],
-        ),
-    ],
-)
-def test_api_list(is_legacy, expected_apis_with_injectors):
-    with patch("promptflow.tracing._openai_injector.IS_LEGACY_OPENAI", is_legacy):
-        # Using list comprehension to get all items from the generator
-        actual_apis_with_injectors = list(_openai_api_list())
-        # Assert that the actual list matches the expected list
-        assert actual_apis_with_injectors == expected_apis_with_injectors
-
-
-@pytest.mark.parametrize(
-    "apis_with_injectors, expected_output, expected_logs",
-    [
-        (
-            [((("MockModule", "MockAPI", "create", TraceType.LLM),), inject_sync)],
-            [(MockAPI, "create", TraceType.LLM, inject_sync)],
-            [],
-        ),
-        (
-            [((("MockModule", "MockAPI", "create", TraceType.LLM),), inject_async)],
-            [(MockAPI, "create", TraceType.LLM, inject_async)],
-            [],
-        ),
-    ],
-)
-def test_generate_api_and_injector(apis_with_injectors, expected_output, expected_logs, caplog):
-    with patch("importlib.import_module", return_value=MagicMock(MockAPI=MockAPI)) as mock_import_module:
-        # Capture the logs
-        with caplog.at_level(logging.WARNING):
-            # Run the generator and collect the output
-            result = list(_generate_api_and_injector(apis_with_injectors))
-
-        # Check if the result matches the expected output
-        assert result == expected_output
-
-        # Check if the logs match the expected logs
-        assert len(caplog.records) == len(expected_logs)
-        for record, expected_message in zip(caplog.records, expected_logs):
-            assert expected_message in record.message
-
-    mock_import_module.assert_called_with("MockModule")
-
-
-def test_generate_api_and_injector_attribute_error_logging(caplog):
-    apis = [
-        ((("NonExistentModule", "NonExistentAPI", "create", TraceType.LLM),), MagicMock()),
-        ((("MockModuleMissingMethod", "MockAPIMissingMethod", "missing_method", "missing_trace_type"),), MagicMock()),
-    ]
-
-    # Set up the side effect for the mock
-    def import_module_effect(name):
-        if name == "MockModuleMissingMethod":
-            module = MagicMock()
-            delattr(module, "MockAPIMissingMethod")  # Use delattr to remove the attribute
-            return module
-        else:
-            raise ModuleNotFoundError(f"No module named '{name}'")
-
-    with patch("importlib.import_module") as mock_import_module:
-        mock_import_module.side_effect = import_module_effect
-        with caplog.at_level(logging.WARNING):
-            list(_generate_api_and_injector(apis))
-
-        assert len(caplog.records) == 2
-        assert "An unexpected error occurred" in caplog.records[0].message
-        assert "NonExistentModule" in caplog.records[0].message
-        assert "does not have the class" in caplog.records[1].message
-        assert "MockAPIMissingMethod" in caplog.records[1].message
-
-    # Verify that `importlib.import_module` was called with correct module names
-    mock_import_module.assert_any_call("NonExistentModule")
-    mock_import_module.assert_any_call("MockModuleMissingMethod")
-
-
-@pytest.mark.unittest
-def test_get_aoai_telemetry_headers():
-    # create a mock operation context
-    mock_operation_context = OperationContext.get_instance()
-    mock_operation_context.user_agent = "test-user-agent"
-    mock_operation_context.update(
-        {
-            "flow_id": "test-flow-id",
-            "root_run_id": "test-root-run-id",
-        }
-    )
-
-    # patch the OperationContext.get_instance method to return the mock operation context
-    with patch("promptflow._core.operation_context.OperationContext.get_instance") as mock_get_instance:
-        mock_get_instance.return_value = mock_operation_context
-
-        # call the function under test and get the headers
-        headers = get_aoai_telemetry_headers()
-
-        assert USER_AGENT_HEADER in headers
-        assert PROMPTFLOW_HEADER in headers
-
-        for key in headers.keys():
-            assert "_" not in key
-
-        # assert that the headers are correct
-        assert headers[USER_AGENT_HEADER] == f"test-user-agent promptflow/{VERSION}"
-        promptflow_headers = json.loads(headers[PROMPTFLOW_HEADER])
-        assert promptflow_headers["flow_id"] == "test-flow-id"
-        assert promptflow_headers["root_run_id"] == "test-root-run-id"
-
-        context = OperationContext.get_instance()
-        context.dummy_key = "dummy_value"
-        headers = get_aoai_telemetry_headers()
-        promptflow_headers = json.loads(headers[PROMPTFLOW_HEADER])
-        assert "dummy_key" not in promptflow_headers  # not default telemetry
-
-        context._tracking_keys.add("dummy_key")
-        headers = get_aoai_telemetry_headers()
-        promptflow_headers = json.loads(headers[PROMPTFLOW_HEADER])
-        assert promptflow_headers["dummy_key"] == "dummy_value"  # telemetry key inserted
-
-
-@pytest.mark.unittest
-def test_inject_and_recover_openai_api():
-    class FakeAPIWithoutOriginal:
-        @staticmethod
-        def create():
-            pass
-
-    class FakeAPIWithOriginal:
-        @staticmethod
-        def create():
-            pass
-
-    def dummy_api():
-        pass
-
-    # Real injector function that adds an _original attribute
-    def injector(f, trace_type):
-        def wrapper_fun(*args, **kwargs):
-            return f(*args, **kwargs)
-
-        wrapper_fun._original = f
-        return wrapper_fun
-
-    # Set an _original attribute for the create method of FakeAPIWithOriginal
-    FakeAPIWithOriginal.create._original = dummy_api
-
-    # Store the original create methods before injection
-    original_api_without_original = FakeAPIWithoutOriginal.create
-    original_api_with_original = FakeAPIWithOriginal.create
-
-    # Mock the generator function to yield our mocked api and method
-    with patch(
-        "promptflow.tracing._openai_injector.available_openai_apis_and_injectors",
-        return_value=[
-            (FakeAPIWithoutOriginal, "create", TraceType.LLM, injector),
-            (FakeAPIWithOriginal, "create", TraceType.LLM, injector),
-        ],
-    ):
-        # Call the function to inject the APIs
-        inject_openai_api()
-
-        # Check that the _original attribute was set for the method that didn't have it
-        assert hasattr(FakeAPIWithoutOriginal.create, "_original")
-        # Ensure the _original attribute points to the correct original method
-        assert FakeAPIWithoutOriginal.create._original is original_api_without_original
-
-        # Check that the injector was not applied again to the method that already had an _original attribute
-        # The _original attribute should still point to the mock, not the original method
-        assert getattr(FakeAPIWithOriginal.create, "_original") is not FakeAPIWithOriginal.create
-        # The original method should remain unchanged
-        assert FakeAPIWithOriginal.create is original_api_with_original
-
-        # Call the function to recover the APIs
-        recover_openai_api()
-
-        # Check that the _original attribute was removed for the method that didn't have it
-        assert not hasattr(FakeAPIWithoutOriginal.create, "_original")
-        assert not hasattr(FakeAPIWithOriginal.create, "_original")
-
-        # The original methods should be restored
-        assert FakeAPIWithoutOriginal.create is original_api_without_original
-        assert FakeAPIWithOriginal.create is dummy_api
diff --git a/src/promptflow/tests/executor/unittests/_core/test_operation_context.py b/src/promptflow/tests/executor/unittests/_core/test_operation_context.py
deleted file mode 100644
index 97741a60e40..00000000000
--- a/src/promptflow/tests/executor/unittests/_core/test_operation_context.py
+++ /dev/null
@@ -1,149 +0,0 @@
-import threading
-
-import pytest
-
-from promptflow._core.operation_context import OperationContext
-from promptflow._version import VERSION
-from promptflow.contracts.run_mode import RunMode
-
-
-def set_run_mode(context: OperationContext, run_mode: RunMode):
-    """This method simulates the runtime.execute_request()
-
-    It is aimed to set the run_mode into operation context.
-    """
-    context.run_mode = run_mode.name if run_mode is not None else ""
-
-
-@pytest.mark.unittest
-class TestOperationContext:
-    def test_get_user_agent(self):
-        operation_context = OperationContext()
-        assert operation_context.get_user_agent() == f"promptflow/{VERSION}"
-
-        operation_context.user_agent = "test_agent/0.0.2"
-        assert operation_context.get_user_agent() == f"test_agent/0.0.2 promptflow/{VERSION}"
-
-    @pytest.mark.parametrize(
-        "run_mode, expected",
-        [
-            (RunMode.Test, "Test"),
-            (RunMode.SingleNode, "SingleNode"),
-            (RunMode.Batch, "Batch"),
-        ],
-    )
-    def test_run_mode(self, run_mode, expected):
-        context = OperationContext()
-        set_run_mode(context, run_mode)
-        assert context.run_mode == expected
-
-    def test_context_dict(self):
-        context = OperationContext()
-
-        context.run_mode = "Flow"
-        context.user_agent = "test_agent/0.0.2"
-        context.none_value = None
-
-        context_dict = context.get_context_dict()
-
-        assert context_dict["run_mode"] == "Flow"
-        assert context_dict["user_agent"] == "test_agent/0.0.2"
-        assert context_dict["none_value"] is None
-
-    def test_setattr(self):
-        context = OperationContext()
-
-        context.run_mode = "Flow"
-        assert context["run_mode"] == "Flow"
-
-    def test_setattr_non_primitive(self):
-        # Test set non-primitive type
-        context = OperationContext()
-        context.foo = [1, 2, 3]
-
-        assert [1, 2, 3] == context.foo
-
-    def test_getattr(self):
-        context = OperationContext()
-
-        context["run_mode"] = "Flow"
-        assert context.run_mode == "Flow"
-
-    def test_getattr_missing(self):
-        context = OperationContext()
-
-        with pytest.raises(AttributeError):
-            context.foo
-
-    def test_delattr(self):
-        # test that delattr works as expected
-        context = OperationContext()
-        context.foo = "bar"
-        del context.foo
-        assert "foo" not in context
-
-        # test that delattr raises AttributeError for non-existent name
-        with pytest.raises(AttributeError):
-            del context.baz
-
-    def test_append_user_agent(self):
-        context = OperationContext()
-        user_agent = " " + context.user_agent if "user_agent" in context else ""
-
-        context.append_user_agent("test_agent/0.0.2")
-        assert context.user_agent == "test_agent/0.0.2" + user_agent
-
-        context.append_user_agent("test_agent/0.0.3")
-        assert context.user_agent == "test_agent/0.0.2 test_agent/0.0.3" + user_agent
-
-    def test_get_instance(self):
-        context1 = OperationContext.get_instance()
-        context2 = OperationContext.get_instance()
-        assert context1 is context2
-
-    def test_set_batch_input_source_from_inputs_mapping_run(self):
-        input_mapping = {"input1": "${run.outputs.output1}", "input2": "${run.outputs.output2}"}
-        context = OperationContext()
-        context.set_batch_input_source_from_inputs_mapping(input_mapping)
-        assert context.batch_input_source == "Run"
-
-    def test_set_batch_input_source_from_inputs_mapping_data(self):
-        input_mapping = {"url": "${data.url}"}
-        context = OperationContext()
-        context.set_batch_input_source_from_inputs_mapping(input_mapping)
-        assert context.batch_input_source == "Data"
-
-    def test_set_batch_input_source_from_inputs_mapping_none(self):
-        input_mapping = None
-        context = OperationContext()
-        assert not hasattr(context, "batch_input_source")
-        context.set_batch_input_source_from_inputs_mapping(input_mapping)
-        assert context.batch_input_source == "Data"
-
-    def test_set_batch_input_source_from_inputs_mapping_empty(self):
-        input_mapping = {}
-        context = OperationContext()
-        assert not hasattr(context, "batch_input_source")
-        context.set_batch_input_source_from_inputs_mapping(input_mapping)
-        assert context.batch_input_source == "Data"
-
-    def test_different_thread_have_different_instance(self):
-        # create a list to store the OperationContext instances from each thread
-        instances = []
-
-        # define a function that gets the OperationContext instance and appends it to the list
-        def get_instance():
-            instance = OperationContext.get_instance()
-            instances.append(instance)
-
-        # create two threads and run the function in each thread
-        thread1 = threading.Thread(target=get_instance)
-        thread2 = threading.Thread(target=get_instance)
-        thread1.start()
-        thread2.start()
-        thread1.join()
-        thread2.join()
-
-        # assert that the list has two elements and they are different objects
-        assert len(instances) == 2
-        assert instances[0] is not instances[1]
diff --git a/src/promptflow/tests/executor/unittests/_core/test_run_tracker.py b/src/promptflow/tests/executor/unittests/_core/test_run_tracker.py
index 06a106d4a9c..694c22e2c64 100644
--- a/src/promptflow/tests/executor/unittests/_core/test_run_tracker.py
+++ b/src/promptflow/tests/executor/unittests/_core/test_run_tracker.py
@@ -1,10 +1,10 @@
 import pytest
 
 from promptflow._core._errors import RunRecordNotFound
-from promptflow._core.generator_proxy import GeneratorProxy
 from promptflow._core.run_tracker import RunTracker
 from promptflow.connections import AzureOpenAIConnection
 from promptflow.contracts.run_info import Status
+from promptflow.tracing.contracts.generator_proxy import GeneratorProxy
 
 
 class UnserializableClass:
diff --git a/src/promptflow/tests/executor/unittests/_core/test_tool.py b/src/promptflow/tests/executor/unittests/_core/test_tool.py
index d0f06a0f0ae..a64bb7bf26d 100644
--- a/src/promptflow/tests/executor/unittests/_core/test_tool.py
+++ b/src/promptflow/tests/executor/unittests/_core/test_tool.py
@@ -67,7 +67,7 @@ async def test_traces_are_created_correctly(self, func):
         assert len(traces) == 1
         trace = traces[0]
         assert trace["name"] == func.__qualname__
-        assert trace["type"] == TraceType.TOOL
+        assert trace["type"] == TraceType.FUNCTION
         assert trace["inputs"] == {"a": 1}
         assert trace["output"] == 1
         assert trace["error"] is None
diff --git a/src/promptflow/tests/executor/unittests/_core/test_tools_manager.py b/src/promptflow/tests/executor/unittests/_core/test_tools_manager.py
index 9a1cfcd06ba..83b41a26f72 100644
--- a/src/promptflow/tests/executor/unittests/_core/test_tools_manager.py
+++ b/src/promptflow/tests/executor/unittests/_core/test_tools_manager.py
@@ -166,6 +166,7 @@ def sample_tool(input: str):
 
 
 @pytest.mark.unittest
+@pytest.mark.usefixtures("recording_injection")
 class TestToolsManager:
     def test_collect_package_tools_if_node_source_tool_is_legacy(self):
         legacy_node_source_tools = ["content_safety_text.tools.content_safety_text_tool.analyze_text"]
@@ -282,27 +283,22 @@ def test_gen_dynamic_list(self, mocked_ws_triple, mock_module_with_list_func):
             assert len(result) == 2
 
     def test_retrieve_tool_func_result_dynamic_list_scenario(
-        self,
-        mocked_ws_triple,
-        mock_module_with_for_retrieve_tool_func_result
+        self, mocked_ws_triple, mock_module_with_for_retrieve_tool_func_result
     ):
         from promptflow._sdk._utils import _retrieve_tool_func_result
 
         func_path = "my_tool_package.tools.tool_with_dynamic_list_input.my_list_func"
         func_kwargs = {"prefix": "My"}
         result = _retrieve_tool_func_result(
-            ToolFuncCallScenario.DYNAMIC_LIST,
-            {"func_path": func_path, "func_kwargs": func_kwargs}
+            ToolFuncCallScenario.DYNAMIC_LIST, {"func_path": func_path, "func_kwargs": func_kwargs}
         )
         assert len(result) == 2
 
         # test retrieve tool func result with ws_triple.
-        with patch(
-            "promptflow._cli._utils.get_workspace_triad_from_local",
-            return_value=mocked_ws_triple
-        ):
-            result = _retrieve_tool_func_result(ToolFuncCallScenario.DYNAMIC_LIST, {
-                                                "func_path": func_path, "func_kwargs": func_kwargs})
+        with patch("promptflow._cli._utils.get_workspace_triad_from_local", return_value=mocked_ws_triple):
+            result = _retrieve_tool_func_result(
+                ToolFuncCallScenario.DYNAMIC_LIST, {"func_path": func_path, "func_kwargs": func_kwargs}
+            )
 
     @pytest.mark.parametrize(
         "func_call_scenario, func_path, func_kwargs, expected",
@@ -311,26 +307,21 @@ def test_retrieve_tool_func_result_dynamic_list_scenario(
                 ToolFuncCallScenario.DYNAMIC_LIST,
                 "my_tool_package.tools.tool_with_dynamic_list_input.my_list_func",
                 {"prefix": "My"},
-                list
+                list,
             ),
             (
                 ToolFuncCallScenario.GENERATED_BY,
                 "my_tool_package.tools.tool_with_generated_by_input.generated_by_func",
                 {"index_type": "Azure Cognitive Search"},
-                str
+                str,
             ),
             (
                 ToolFuncCallScenario.REVERSE_GENERATED_BY,
                 "my_tool_package.tools.tool_with_generated_by_input.reverse_generated_by_func",
-                {
-                    "index_json": json.dumps({
-                        "index_type": "Azure Cognitive Search",
-                        "index": "index_1"
-                    })
-                },
-                dict
-            )
-        ]
+                {"index_json": json.dumps({"index_type": "Azure Cognitive Search", "index": "index_1"})},
+                dict,
+            ),
+        ],
     )
     def test_retrieve_tool_func_result(
         self,
@@ -339,7 +330,7 @@ def test_retrieve_tool_func_result(
         func_kwargs,
         expected,
         mocked_ws_triple,
-        mock_module_with_for_retrieve_tool_func_result
+        mock_module_with_for_retrieve_tool_func_result,
     ):
         from promptflow._sdk._utils import _retrieve_tool_func_result
 
@@ -349,7 +340,8 @@ def test_retrieve_tool_func_result(
         # test retrieve tool func result with ws_triple.
         with patch("promptflow._cli._utils.get_workspace_triad_from_local", return_value=mocked_ws_triple):
             result = _retrieve_tool_func_result(
-                func_call_scenario, {"func_path": func_path, "func_kwargs": func_kwargs})
+                func_call_scenario, {"func_path": func_path, "func_kwargs": func_kwargs}
+            )
             assert isinstance(result["result"], expected)
 
     @pytest.mark.parametrize(
@@ -358,22 +350,17 @@ def test_retrieve_tool_func_result(
             (
                 "dummy_senario",
                 "my_tool_package.tools.tool_with_generated_by_input.reverse_generated_by_func",
-                {
-                    "index_json": json.dumps({
-                        "index_type": "Azure Cognitive Search",
-                        "index": "index_1"
-                    })
-                },
+                {"index_json": json.dumps({"index_type": "Azure Cognitive Search", "index": "index_1"})},
                 f"Invalid tool func call scenario: dummy_senario. "
-                f"Available scenarios are {list(ToolFuncCallScenario)}"
+                f"Available scenarios are {list(ToolFuncCallScenario)}",
             ),
             (
                 ToolFuncCallScenario.REVERSE_GENERATED_BY,
                 "my_tool_package.tools.tool_with_generated_by_input.generated_by_func",
                 {"index_type": "Azure Cognitive Search"},
-                "ToolFuncCallScenario reverse_generated_by response must be a dict."
-            )
-        ]
+                "ToolFuncCallScenario reverse_generated_by response must be a dict.",
+            ),
+        ],
     )
     def test_retrieve_tool_func_result_error(
         self,
@@ -382,12 +369,32 @@ def test_retrieve_tool_func_result_error(
         func_kwargs,
         expected,
         mocked_ws_triple,
-        mock_module_with_for_retrieve_tool_func_result
+        mock_module_with_for_retrieve_tool_func_result,
     ):
         from promptflow._sdk._utils import _retrieve_tool_func_result
+
         with pytest.raises(Exception) as e:
             _retrieve_tool_func_result(func_call_scenario, {"func_path": func_path, "func_kwargs": func_kwargs})
-        assert (expected in str(e.value))
+        assert expected in str(e.value)
+
+    def test_register_apis(self):
+        from typing import Union
+        from promptflow._core.tools_manager import register_apis, connection_type_to_api_mapping
+        from promptflow._core.tool import ToolProvider
+        from promptflow.connections import AzureOpenAIConnection, OpenAIConnection, ServerlessConnection
+
+        class MockAI1(ToolProvider):
+            def __init__(self, input: str, connection: Union[OpenAIConnection, ServerlessConnection]):
+                super().__init__()
+
+        class MockAI2(ToolProvider):
+            def __init__(self, connection: AzureOpenAIConnection):
+                super().__init__()
+
+        register_apis(MockAI1)
+        register_apis(MockAI2)
+
+        assert len(connection_type_to_api_mapping) == 3
 
 
 @pytest.mark.unittest
diff --git a/src/promptflow/tests/executor/unittests/_core/test_tracer.py b/src/promptflow/tests/executor/unittests/_core/test_tracer.py
index 4be6e1ce87e..3e877d27842 100644
--- a/src/promptflow/tests/executor/unittests/_core/test_tracer.py
+++ b/src/promptflow/tests/executor/unittests/_core/test_tracer.py
@@ -3,11 +3,11 @@
 import pytest
 from opentelemetry.trace.status import StatusCode
 
-from promptflow._core.generator_proxy import GeneratorProxy
 from promptflow.connections import AzureOpenAIConnection
 from promptflow.tracing import trace
 from promptflow.tracing._trace import _traced
 from promptflow.tracing._tracer import Tracer, _create_trace_from_function_call
+from promptflow.tracing.contracts.generator_proxy import GeneratorProxy
 from promptflow.tracing.contracts.trace import Trace, TraceType
 
 from ...utils import prepare_memory_exporter
@@ -64,8 +64,8 @@ def test_push_pop(self, caplog):
         Tracer.start_tracing("test_run_id")
         tracer = Tracer.active_instance()
 
-        trace1 = Trace("test1", inputs=[1, 2, 3], type=TraceType.TOOL)
-        trace2 = Trace("test2", inputs=[4, 5, 6], type=TraceType.TOOL)
+        trace1 = Trace("test1", inputs=[1, 2, 3], type=TraceType.FUNCTION)
+        trace2 = Trace("test2", inputs=[4, 5, 6], type=TraceType.FUNCTION)
 
         Tracer.push(trace1)
         assert tracer._traces == [trace1]
@@ -172,8 +172,8 @@ def test_trace_name_should_contain_class_name_for_class_methods(self):
         assert trace.name == "MyClass.my_method"
 
     def test_trace_type_can_be_set_correctly(self):
-        trace = _create_trace_from_function_call(func_with_no_parameters, trace_type=TraceType.TOOL)
-        assert trace.type == TraceType.TOOL
+        trace = _create_trace_from_function_call(func_with_no_parameters, trace_type=TraceType.FUNCTION)
+        assert trace.type == TraceType.FUNCTION
 
     def test_args_and_kwargs_are_filled_correctly(self):
         trace = _create_trace_from_function_call(
@@ -323,7 +323,7 @@ async def test_trace_is_generated_when_errors_occurred(self, func):
     @pytest.mark.parametrize("func", [sync_func, async_func])
     async def test_trace_type_can_be_set_correctly(self, func):
         Tracer.start_tracing("test_run_id")
-        traced_func = _traced(func, trace_type=TraceType.TOOL)
+        traced_func = _traced(func, trace_type=TraceType.FUNCTION)
 
         if inspect.iscoroutinefunction(traced_func):
             result = await traced_func(1)
@@ -336,7 +336,7 @@ async def test_trace_type_can_be_set_correctly(self, func):
         assert len(traces) == 1
         trace = traces[0]
         assert trace["name"] == func.__qualname__
-        assert trace["type"] == TraceType.TOOL
+        assert trace["type"] == TraceType.FUNCTION
 
 
 @trace
diff --git a/src/promptflow/tests/executor/unittests/_utils/test_connection_utils.py b/src/promptflow/tests/executor/unittests/_utils/test_connection_utils.py
index b298c3c27cf..2155e0e9a8c 100644
--- a/src/promptflow/tests/executor/unittests/_utils/test_connection_utils.py
+++ b/src/promptflow/tests/executor/unittests/_utils/test_connection_utils.py
@@ -108,7 +108,7 @@ def test_generate_custom_strong_type_connection_template_with_default_value(self
         ],
     )
     def test_get_used_connection_names_from_flow_meta(self, input_value: str, expected_connection_names: list):
-        from promptflow._sdk._submitter.utils import SubmitterHelper
+        from promptflow._sdk._orchestrator.utils import SubmitterHelper
 
         connection_names = SubmitterHelper.get_used_connection_names(
             {
diff --git a/src/promptflow/tests/executor/unittests/_utils/test_dataclass_serializer.py b/src/promptflow/tests/executor/unittests/_utils/test_dataclass_serializer.py
index 6e717cd1158..e97a756acfb 100644
--- a/src/promptflow/tests/executor/unittests/_utils/test_dataclass_serializer.py
+++ b/src/promptflow/tests/executor/unittests/_utils/test_dataclass_serializer.py
@@ -1,11 +1,13 @@
-import pytest
-from datetime import datetime
+import sys
 from dataclasses import dataclass
+from datetime import datetime
 from typing import Dict, List
-from promptflow._core.generator_proxy import GeneratorProxy
+
+import pytest
+from unittest.mock import patch, Mock
+
 from promptflow._utils.dataclass_serializer import (
     get_type,
-    serialize,
     deserialize_dataclass,
     deserialize_value,
     assertEqual,
@@ -13,8 +15,8 @@
 from promptflow.contracts.run_info import RunInfo, Status
 from promptflow._core.connection_manager import ConnectionManager
 from promptflow.storage.run_records import NodeRunRecord
-from unittest.mock import patch, Mock
-import sys
+from promptflow.tracing._utils import serialize
+from promptflow.tracing.contracts.generator_proxy import GeneratorProxy
 
 
 def get_connection_dict():
diff --git a/src/promptflow/tests/executor/unittests/_utils/test_exception_utils.py b/src/promptflow/tests/executor/unittests/_utils/test_exception_utils.py
index 612add30833..6caefc0a5b2 100644
--- a/src/promptflow/tests/executor/unittests/_utils/test_exception_utils.py
+++ b/src/promptflow/tests/executor/unittests/_utils/test_exception_utils.py
@@ -5,7 +5,6 @@
 import pytest
 
 from promptflow._core._errors import ToolExecutionError
-from promptflow._core.operation_context import OperationContext
 from promptflow._utils.exception_utils import (
     ErrorResponse,
     ExceptionPresenter,
@@ -15,6 +14,7 @@
     last_frame_info,
     remove_suffix,
 )
+from promptflow._version import VERSION
 from promptflow.exceptions import (
     ErrorTarget,
     PromptflowException,
@@ -22,6 +22,7 @@
     UserErrorException,
     ValidationException,
 )
+from promptflow.tracing._operation_context import OperationContext
 
 
 def set_inner_exception_by_parameter():
@@ -331,6 +332,8 @@ def test_error_codes(self, raise_exception_func, error_class, expected_error_cod
 @pytest.mark.unittest
 class TestErrorResponse:
     def test_from_error_dict(self):
+        OperationContext.get_instance().append_user_agent(f"promptflow/{VERSION}")
+
         error_dict = {
             "code": "UserError",
             "message": "Flow run failed.",
@@ -367,6 +370,8 @@ def test_to_simplied_dict(self):
         }
 
     def test_from_exception(self):
+        OperationContext.get_instance().append_user_agent(f"promptflow/{VERSION}")
+
         with pytest.raises(CustomizedException) as e:
             raise_general_exception()
 
diff --git a/src/promptflow/tests/executor/unittests/_utils/test_generate_tool_meta_utils.py b/src/promptflow/tests/executor/unittests/_utils/test_generate_tool_meta_utils.py
index f882ca570a6..7f7b2546ee9 100644
--- a/src/promptflow/tests/executor/unittests/_utils/test_generate_tool_meta_utils.py
+++ b/src/promptflow/tests/executor/unittests/_utils/test_generate_tool_meta_utils.py
@@ -39,7 +39,8 @@ def cd_and_run(working_dir, source_path, tool_type):
 def cd_and_run_generate_flow_meta(working_dir, entry, source=None, path=None):
     with _change_working_dir(working_dir), inject_sys_path(working_dir):
         try:
-            return generate_flow_meta_dict_by_file(entry, source, path)
+            data = {"entry": entry}
+            return generate_flow_meta_dict_by_file(data, source, path)
         except Exception as e:
             return f"({e.__class__.__name__}) {e}"
 
@@ -103,7 +104,7 @@ def test_generate_tool_meta_dict_by_file(self, flow_dir, tool_path, tool_type):
             ("dummy_flow_with_trace", "flow_with_trace:my_flow", "flow_with_trace.py"),
             ("dummy_flow_with_trace", "flow_with_trace:my_flow", None),
             ("flow_with_dataclass_output", "flow_with_dataclass:my_flow", "flow_with_dataclass.py"),
-        ]
+        ],
     )
     def test_generate_flow_meta(self, flow_dir, entry, path):
         wd = str((EAGER_FLOW_ROOT / flow_dir).resolve())
diff --git a/src/promptflow/tests/executor/unittests/_utils/test_multimedia_utils.py b/src/promptflow/tests/executor/unittests/_utils/test_multimedia_utils.py
index cf88f2ea35c..ce97789726d 100644
--- a/src/promptflow/tests/executor/unittests/_utils/test_multimedia_utils.py
+++ b/src/promptflow/tests/executor/unittests/_utils/test_multimedia_utils.py
@@ -4,35 +4,76 @@
 
 import pytest
 
-from promptflow._utils._errors import InvalidImageInput, LoadMultimediaDataError
+from promptflow._utils._errors import InvalidImageInput, InvalidMessageFormatType, LoadMultimediaDataError
 from promptflow._utils.multimedia_utils import (
-    _create_image_from_base64,
-    _create_image_from_file,
-    _create_image_from_url,
-    _process_multimedia_dict_recursively,
+    BasicMultimediaProcessor,
+    ImageProcessor,
+    MultimediaProcessor,
+    OpenaiVisionMultimediaProcessor,
+    TextProcessor,
     _process_recursively,
-    convert_multimedia_data_to_base64,
-    create_image,
-    load_multimedia_data,
-    persist_multimedia_data,
-    resolve_multimedia_data_recursively,
 )
 from promptflow.contracts.flow import FlowInputDefinition
-from promptflow.contracts.multimedia import Image
+from promptflow.contracts.multimedia import Image, Text
 from promptflow.contracts.tool import ValueType
 
-from ...utils import DATA_ROOT
+from ...utils import DATA_ROOT, FLOW_ROOT, get_flow_folder
 
 TEST_IMAGE_PATH = DATA_ROOT / "logo.jpg"
 
 
 @pytest.mark.unittest
-class TestMultimediaUtils:
+class TestImageProcessor:
+    def test_get_extension_from_mime_type(self):
+        mime_type = "image/jpeg"
+        result = ImageProcessor.get_extension_from_mime_type(mime_type)
+        assert result == "jpeg"
+
+        mime_type = "image/*"
+        result = ImageProcessor.get_extension_from_mime_type(mime_type)
+        assert result is None
+
+    def test_get_multimedia_info(self):
+        key = "data:image/jpeg;base64"
+        result = ImageProcessor.get_multimedia_info(key)
+        assert result == ("jpeg", "base64")
+
+        key = "invalid"
+        result = ImageProcessor.get_multimedia_info(key)
+        assert result == (None, None)
+
+    def test_is_url(self):
+        url = "http://example.com"
+        result = ImageProcessor.is_url(url)
+        assert result is True
+
+        url = "not a url"
+        result = ImageProcessor.is_url(url)
+        assert result is False
+
+    def test_is_base64(self):
+        base64_str = "data:image/jpeg;base64,/9j/12345ABC"
+        result = ImageProcessor.is_base64(base64_str)
+        assert result is True
+
+        base64_str = "/9j/12345ABC"
+        result = ImageProcessor.is_base64(base64_str)
+        assert result is True
+
+        base64_str = "not a base64 string"
+        result = ImageProcessor.is_base64(base64_str)
+        assert result is False
+
+    def test_create_image_from_file(self):
+        image = ImageProcessor.create_image_from_file(TEST_IMAGE_PATH)
+        assert isinstance(image, Image)
+        assert image._mime_type == "image/jpeg"
+
     @pytest.mark.parametrize("image_path", ["logo.jpg", "logo.png", "logo.webp", "logo.gif"])
     def test_create_image_from_base64(self, image_path):
-        image = _create_image_from_file(DATA_ROOT / image_path)
+        image = ImageProcessor.create_image_from_file(DATA_ROOT / image_path)
         base64_str = image.to_base64()
-        image_from_base64 = _create_image_from_base64(base64_str)
+        image_from_base64 = ImageProcessor.create_image_from_base64(base64_str)
         assert str(image) == str(image_from_base64)
         format = image_path.split(".")[-1]
         mime_type = f"image/{format}" if format != "jpg" else "image/jpeg"
@@ -45,7 +86,7 @@ def test_create_image_from_url_with_mime_type(self, mock_get):
         mime_type = "image/jpeg"
         mock_get.return_value = MagicMock(status_code=200, content=content)
 
-        image = _create_image_from_url(url, mime_type)
+        image = ImageProcessor.create_image_from_url(url, mime_type)
 
         assert isinstance(image, Image)
         assert image._mime_type == mime_type
@@ -59,105 +100,368 @@ def test_create_image_from_url_failure(self, mock_get):
         mock_get.return_value = MagicMock(status_code=code, text=message)
 
         with pytest.raises(InvalidImageInput) as ex:
-            _create_image_from_url(url)
+            ImageProcessor.create_image_from_url(url)
 
         expected_message = f"Failed to fetch image from URL: {url}. Error code: {code}. Error message: {message}."
         assert str(ex.value) == expected_message
 
+
+@pytest.mark.unittest
+class TestTextProcessor:
+    def test_is_text_dict_true(self):
+        text_dict = {"type": "text", "text": "Hello, World!"}
+        assert TextProcessor.is_text_dict(text_dict) is True
+
+        text_dict = {"type": "text", "content": "Hello, World!"}
+        assert TextProcessor.is_text_dict(text_dict) is False
+
+        text_dict = {"type": "text", "text": {"value": "Hello, World!"}}
+        assert TextProcessor.is_text_dict(text_dict) is True
+
+        text_dict = {"type": "text", "text": {"content": "Hello, World!"}}
+        assert TextProcessor.is_text_dict(text_dict) is False
+
+    def test_create_text_from_dict(self):
+        text_dict = {"type": "text", "text": "Hello, World!"}
+        result = TextProcessor.create_text_from_dict(text_dict)
+        assert isinstance(result, Text)
+
+
+@pytest.mark.unittest
+class TestMultimediaProcessor:
+    @pytest.mark.parametrize(
+        "message_format_type, processor_class, expected_error",
+        [
+            ("basic", BasicMultimediaProcessor, None),
+            ("OPENAI-VISION", OpenaiVisionMultimediaProcessor, None),
+            ("openai-vision", OpenaiVisionMultimediaProcessor, None),
+            (None, BasicMultimediaProcessor, None),
+            ("", BasicMultimediaProcessor, None),
+            ("ABC", None, InvalidMessageFormatType),
+        ],
+    )
+    def test_create(self, message_format_type, processor_class, expected_error):
+        if not expected_error:
+            processor = MultimediaProcessor.create(message_format_type)
+            assert isinstance(processor, processor_class)
+        else:
+            with pytest.raises(expected_error):
+                MultimediaProcessor.create(message_format_type)
+
+    @pytest.mark.parametrize(
+        "flow_folder_name, flow_file, processor_class",
+        [
+            ("chat_flow_with_openai_vision_image", "flow.dag.yaml", OpenaiVisionMultimediaProcessor),
+            ("chat_flow_with_image", "flow.dag.yaml", BasicMultimediaProcessor),
+            ("chat_flow_with_openai_vision_image", "mock_chat.py", BasicMultimediaProcessor),
+            (None, None, BasicMultimediaProcessor),
+        ],
+    )
+    def test_create_from_yaml(self, flow_folder_name, flow_file, processor_class):
+        flow_folder = get_flow_folder(flow_folder_name, FLOW_ROOT) if flow_folder_name else None
+        processor = MultimediaProcessor.create_from_yaml(flow_file, working_dir=flow_folder)
+        assert isinstance(processor, processor_class)
+
+    def test_process_multimedia_dict_recursively(self):
+        def process_func_image(image_dict):
+            return "image_placeholder"
+
+        def process_func_text(text_dict):
+            return "text_placeholder"
+
+        image_dict = {"data:image/jpg;path": "logo.jpg"}
+        text_dict = {"type": "text", "text": "Hello, World!"}
+        value = {
+            "image": image_dict,
+            "text": text_dict,
+            "images": [image_dict, image_dict],
+            "object": {"image": image_dict, "text": text_dict, "other_data": "other_data"},
+        }
+        updated_value = MultimediaProcessor._process_multimedia_dict_recursively(
+            value,
+            {
+                BasicMultimediaProcessor.is_multimedia_dict: process_func_image,
+                TextProcessor.is_text_dict: process_func_text,
+            },
+        )
+        assert updated_value == {
+            "image": "image_placeholder",
+            "text": "text_placeholder",
+            "images": ["image_placeholder", "image_placeholder"],
+            "object": {"image": "image_placeholder", "text": "text_placeholder", "other_data": "other_data"},
+        }
+
+
+@pytest.mark.unittest
+class TestBasicMultimediaProcessor:
+    processor = BasicMultimediaProcessor()
+
+    def test_is_multimedia_dict(self):
+        multimedia_dict = {"data:image/jpg;path": "test.jpg"}
+        assert self.processor.is_multimedia_dict(multimedia_dict) is True
+
+        multimedia_dict = {"data:image/jpg;path": "test.jpg", "extra": "data"}
+        assert self.processor.is_multimedia_dict(multimedia_dict) is False
+
+        multimedia_dict = {}
+        assert self.processor.is_multimedia_dict(multimedia_dict) is False
+
     def test_create_image_with_dict(self, mocker):
         ## From path
         image_dict = {"data:image/jpg;path": TEST_IMAGE_PATH}
-        image_from_path = create_image(image_dict)
+        image_from_path = self.processor.create_image(image_dict)
         assert image_from_path._mime_type == "image/jpg"
 
         ## From base64
         image_dict = {"data:image/jpg;base64": image_from_path.to_base64()}
-        image_from_base64 = create_image(image_dict)
+        image_from_base64 = self.processor.create_image(image_dict)
         assert str(image_from_path) == str(image_from_base64)
         assert image_from_base64._mime_type == "image/jpg"
 
         ## From url
         mocker.patch("requests.get", return_value=mocker.Mock(content=image_from_path, status_code=200))
         image_dict = {"data:image/jpg;url": ""}
-        image_from_url = create_image(image_dict)
+        image_from_url = self.processor.create_image(image_dict)
         assert str(image_from_path) == str(image_from_url)
         assert image_from_url._mime_type == "image/jpg"
 
         mocker.patch("requests.get", return_value=mocker.Mock(content=None, status_code=404))
         with pytest.raises(InvalidImageInput) as ex:
-            create_image(image_dict)
+            self.processor.create_image(image_dict)
         assert "Failed to fetch image from URL" in ex.value.message_format
 
     def test_create_image_with_string(self, mocker):
         ## From path
-        image_from_path = create_image(str(TEST_IMAGE_PATH))
+        image_from_path = self.processor.create_image(str(TEST_IMAGE_PATH))
         assert image_from_path._mime_type == "image/jpeg"
 
         # From base64
-        image_from_base64 = create_image(image_from_path.to_base64())
+        image_from_base64 = self.processor.create_image(image_from_path.to_base64())
         assert str(image_from_path) == str(image_from_base64)
         assert image_from_base64._mime_type == "image/jpeg"
 
         ## From url
-        mocker.patch("promptflow._utils.multimedia_utils._is_url", return_value=True)
-        mocker.patch("promptflow._utils.multimedia_utils._is_base64", return_value=False)
+        mocker.patch("promptflow._utils.multimedia_utils.ImageProcessor.is_url", return_value=True)
+        mocker.patch("promptflow._utils.multimedia_utils.ImageProcessor.is_base64", return_value=False)
         mocker.patch("requests.get", return_value=mocker.Mock(content=image_from_path, status_code=200))
-        image_from_url = create_image("Test")
+        image_from_url = self.processor.create_image("Test")
         assert str(image_from_path) == str(image_from_url)
         assert image_from_url._mime_type == "image/jpeg"
 
         ## From image
-        image_from_image = create_image(image_from_path)
+        image_from_image = self.processor.create_image(image_from_path)
         assert str(image_from_path) == str(image_from_image)
 
     def test_create_image_with_invalid_cases(self):
         # Test invalid input type
         with pytest.raises(InvalidImageInput) as ex:
-            create_image(0)
+            self.processor.create_image(0)
         assert "Unsupported image input type" in ex.value.message_format
 
         # Test invalid image dict
         with pytest.raises(InvalidImageInput) as ex:
             invalid_image_dict = {"invalid_image": "invalid_image"}
-            create_image(invalid_image_dict)
+            self.processor.create_image(invalid_image_dict)
         assert "Invalid image input format" in ex.value.message_format
 
         # Test none or empty input value
         with pytest.raises(InvalidImageInput) as ex:
-            create_image(None)
+            self.processor.create_image(None)
         assert "Unsupported image input type" in ex.value.message_format
 
         with pytest.raises(InvalidImageInput) as ex:
-            create_image("")
+            self.processor.create_image("")
         assert "The image input should not be empty." in ex.value.message_format
 
+    def test_load_multimedia_data(self):
+        # Case 1: Test normal node
+        inputs = {
+            "image": FlowInputDefinition(type=ValueType.IMAGE),
+            "images": FlowInputDefinition(type=ValueType.LIST),
+            "object": FlowInputDefinition(type=ValueType.OBJECT),
+        }
+        image_dict = {"data:image/jpg;path": str(TEST_IMAGE_PATH)}
+        line_inputs = {
+            "image": image_dict,
+            "images": [image_dict, image_dict],
+            "object": {"image": image_dict, "other_data": "other_data"},
+        }
+        updated_inputs = self.processor.load_multimedia_data(inputs, line_inputs)
+        image = ImageProcessor.create_image_from_file(TEST_IMAGE_PATH)
+        assert updated_inputs == {
+            "image": image,
+            "images": [image, image],
+            "object": {"image": image, "other_data": "other_data"},
+        }
+
+        # Case 2: Test aggregation node
+        line_inputs = {
+            "image": [image_dict, image_dict],
+            "images": [[image_dict, image_dict], [image_dict]],
+            "object": [{"image": image_dict, "other_data": "other_data"}, {"other_data": "other_data"}],
+        }
+        updated_inputs = self.processor.load_multimedia_data(inputs, line_inputs)
+        assert updated_inputs == {
+            "image": [image, image],
+            "images": [[image, image], [image]],
+            "object": [{"image": image, "other_data": "other_data"}, {"other_data": "other_data"}],
+        }
+
+        # Case 3: Test invalid input type
+        with pytest.raises(LoadMultimediaDataError) as ex:
+            line_inputs = {"image": 0}
+            self.processor.load_multimedia_data(inputs, line_inputs)
+        assert (
+            "Failed to load image for input 'image': " "(InvalidImageInput) Unsupported image input type"
+        ) in ex.value.message
+
+    def test_resolve_multimedia_data_recursively(self):
+        image_dict = {"data:image/jpg;path": "logo.jpg"}
+        value = {
+            "image": image_dict,
+            "images": [image_dict, image_dict],
+            "object": {"image": image_dict, "other_data": "other_data"},
+        }
+        input_dir = TEST_IMAGE_PATH
+        updated_value = self.processor.resolve_multimedia_data_recursively(input_dir, value)
+        updated_image_dict = {"data:image/jpg;path": str(DATA_ROOT / "logo.jpg")}
+        assert updated_value == {
+            "image": updated_image_dict,
+            "images": [updated_image_dict, updated_image_dict],
+            "object": {"image": updated_image_dict, "other_data": "other_data"},
+        }
+
     def test_persist_multimedia_date(self, mocker):
-        image = _create_image_from_file(TEST_IMAGE_PATH)
+        image = ImageProcessor.create_image_from_file(TEST_IMAGE_PATH)
         mocker.patch("builtins.open", mock_open())
         data = {"image": image, "images": [image, image, "other_data"], "other_data": "other_data"}
-        persisted_data = persist_multimedia_data(data, base_dir=Path(__file__).parent)
+        persisted_data = self.processor.persist_multimedia_data(data, base_dir=Path(__file__).parent)
         file_name = re.compile(r"^[0-9a-z]{8}-[0-9a-z]{4}-[0-9a-z]{4}-[0-9a-z]{4}-[0-9a-z]{12}.jpeg$")
         assert re.match(file_name, persisted_data["image"]["data:image/jpeg;path"])
         assert re.match(file_name, persisted_data["images"][0]["data:image/jpeg;path"])
         assert re.match(file_name, persisted_data["images"][1]["data:image/jpeg;path"])
 
     def test_convert_multimedia_date_to_base64(self):
-        image = _create_image_from_file(TEST_IMAGE_PATH)
+        image = ImageProcessor.create_image_from_file(TEST_IMAGE_PATH)
         data = {"image": image, "images": [image, image, "other_data"], "other_data": "other_data"}
-        base64_data = convert_multimedia_data_to_base64(data)
+        base64_data = self.processor.convert_multimedia_data_to_base64_dict(data)
+        excepted_image = {f"data:{image._mime_type};base64": image.to_base64()}
         assert base64_data == {
-            "image": image.to_base64(),
-            "images": [image.to_base64(), image.to_base64(), "other_data"],
+            "image": excepted_image,
+            "images": [excepted_image, excepted_image, "other_data"],
             "other_data": "other_data",
         }
 
-        base64_data = convert_multimedia_data_to_base64(data, with_type=True)
-        prefix = f"data:{image._mime_type};base64,"
-        assert base64_data == {
-            "image": prefix + image.to_base64(),
-            "images": [prefix + image.to_base64(), prefix + image.to_base64(), "other_data"],
-            "other_data": "other_data",
-        }
+
+@pytest.mark.unittest
+class TestOpenaiVisionMultimediaProcessor:
+    processor = OpenaiVisionMultimediaProcessor()
+
+    def test_is_multimedia_dict(self):
+        multimedia_dict = {"type": "image_url", "image_url": {"url": "data"}}
+        assert self.processor.is_multimedia_dict(multimedia_dict) is True
+
+        multimedia_dict = {"type": "image_file", "image_file": {"path": "data"}}
+        assert self.processor.is_multimedia_dict(multimedia_dict) is True
+
+        # len(multimedia_dict) != 2
+        multimedia_dict = {"image_url": "data"}
+        assert self.processor.is_multimedia_dict(multimedia_dict) is False
+
+        # len(multimedia_dict) != 2
+        multimedia_dict = {}
+        assert self.processor.is_multimedia_dict(multimedia_dict) is False
+
+        # "type" not in multimedia_dict
+        multimedia_dict = {"image/jpeg": "test.jpg", "extra": "data"}
+        assert self.processor.is_multimedia_dict(multimedia_dict) is False
+
+        # image_type not in multimedia_dict
+        multimedia_dict = {"type": "image_url", "image_file": "data"}
+        assert self.processor.is_multimedia_dict(multimedia_dict) is False
+
+        # multimedia_dict[image_type] is not a dict
+        multimedia_dict = {"type": "image_url", "image_url": "data"}
+        assert self.processor.is_multimedia_dict(multimedia_dict) is False
+
+        # image_type is not "image_url" or "image_file"
+        multimedia_dict = {"type": "text", "text": "data"}
+        assert self.processor.is_multimedia_dict(multimedia_dict) is False
+
+        # image_url without "url" key
+        multimedia_dict = {"type": "image_url", "image_url": {}}
+        assert self.processor.is_multimedia_dict(multimedia_dict) is False
+
+        # image_file without "path" key
+        multimedia_dict = {"type": "image_file", "image_file": {"url": "data"}}
+        assert self.processor.is_multimedia_dict(multimedia_dict) is False
+
+    def test_create_image_with_dict(self, mocker):
+        ## From path
+        image_dict = {"type": "image_file", "image_file": {"path": TEST_IMAGE_PATH}}
+        image_from_path = self.processor.create_image(image_dict)
+        assert image_from_path._mime_type == "image/jpeg"
+
+        ## From base64
+        image_dict = {"type": "image_url", "image_url": {"url": image_from_path.to_base64(with_type=True)}}
+        image_from_base64 = self.processor.create_image(image_dict)
+        assert str(image_from_path) == str(image_from_base64)
+        assert image_from_base64._mime_type == "image/jpeg"
+
+        ## From url
+        mocker.patch("requests.get", return_value=mocker.Mock(content=image_from_path, status_code=200))
+        image_dict = {"type": "image_url", "image_url": {"url": "http://example.com"}}
+        image_from_url = self.processor.create_image(image_dict)
+        assert str(image_from_path) == str(image_from_url)
+        assert image_from_url._mime_type == "image/jpeg"
+
+        mocker.patch("requests.get", return_value=mocker.Mock(content=None, status_code=404))
+        with pytest.raises(InvalidImageInput) as ex:
+            self.processor.create_image(image_dict)
+        assert "Failed to fetch image from URL" in ex.value.message_format
+
+    def test_create_image_with_string(self, mocker):
+        ## From path
+        image_from_path = self.processor.create_image(str(TEST_IMAGE_PATH))
+        assert image_from_path._mime_type == "image/jpeg"
+
+        # From base64
+        image_from_base64 = self.processor.create_image(image_from_path.to_base64())
+        assert str(image_from_path) == str(image_from_base64)
+        assert image_from_base64._mime_type == "image/jpeg"
+
+        ## From url
+        mocker.patch("promptflow._utils.multimedia_utils.ImageProcessor.is_url", return_value=True)
+        mocker.patch("promptflow._utils.multimedia_utils.ImageProcessor.is_base64", return_value=False)
+        mocker.patch("requests.get", return_value=mocker.Mock(content=image_from_path, status_code=200))
+        image_from_url = self.processor.create_image("Test")
+        assert str(image_from_path) == str(image_from_url)
+        assert image_from_url._mime_type == "image/jpeg"
+
+        ## From image
+        image_from_image = self.processor.create_image(image_from_path)
+        assert str(image_from_path) == str(image_from_image)
+
+    def test_create_image_with_invalid_cases(self):
+        # Test invalid input type
+        with pytest.raises(InvalidImageInput) as ex:
+            self.processor.create_image(0)
+        assert "Unsupported image input type" in ex.value.message_format
+
+        # Test invalid image dict
+        with pytest.raises(InvalidImageInput) as ex:
+            invalid_image_dict = {"invalid_image": "invalid_image"}
+            self.processor.create_image(invalid_image_dict)
+        assert "Invalid image input format" in ex.value.message_format
+
+        # Test none or empty input value
+        with pytest.raises(InvalidImageInput) as ex:
+            self.processor.create_image(None)
+        assert "Unsupported image input type" in ex.value.message_format
+
+        with pytest.raises(InvalidImageInput) as ex:
+            self.processor.create_image("")
+        assert "The image input should not be empty." in ex.value.message_format
 
     def test_load_multimedia_data(self):
         # Case 1: Test normal node
@@ -166,14 +470,14 @@ def test_load_multimedia_data(self):
             "images": FlowInputDefinition(type=ValueType.LIST),
             "object": FlowInputDefinition(type=ValueType.OBJECT),
         }
-        image_dict = {"data:image/jpg;path": str(TEST_IMAGE_PATH)}
+        image_dict = {"type": "image_file", "image_file": {"path": str(TEST_IMAGE_PATH)}}
         line_inputs = {
             "image": image_dict,
             "images": [image_dict, image_dict],
             "object": {"image": image_dict, "other_data": "other_data"},
         }
-        updated_inputs = load_multimedia_data(inputs, line_inputs)
-        image = _create_image_from_file(TEST_IMAGE_PATH)
+        updated_inputs = self.processor.load_multimedia_data(inputs, line_inputs)
+        image = ImageProcessor.create_image_from_file(TEST_IMAGE_PATH)
         assert updated_inputs == {
             "image": image,
             "images": [image, image],
@@ -186,7 +490,7 @@ def test_load_multimedia_data(self):
             "images": [[image_dict, image_dict], [image_dict]],
             "object": [{"image": image_dict, "other_data": "other_data"}, {"other_data": "other_data"}],
         }
-        updated_inputs = load_multimedia_data(inputs, line_inputs)
+        updated_inputs = self.processor.load_multimedia_data(inputs, line_inputs)
         assert updated_inputs == {
             "image": [image, image],
             "images": [[image, image], [image]],
@@ -196,65 +500,88 @@ def test_load_multimedia_data(self):
         # Case 3: Test invalid input type
         with pytest.raises(LoadMultimediaDataError) as ex:
             line_inputs = {"image": 0}
-            load_multimedia_data(inputs, line_inputs)
+            self.processor.load_multimedia_data(inputs, line_inputs)
         assert (
             "Failed to load image for input 'image': " "(InvalidImageInput) Unsupported image input type"
         ) in ex.value.message
 
     def test_resolve_multimedia_data_recursively(self):
-        image_dict = {"data:image/jpg;path": "logo.jpg"}
+        image_dict = {"type": "image_file", "image_file": {"path": "logo.jpg"}}
         value = {
             "image": image_dict,
             "images": [image_dict, image_dict],
             "object": {"image": image_dict, "other_data": "other_data"},
         }
         input_dir = TEST_IMAGE_PATH
-        updated_value = resolve_multimedia_data_recursively(input_dir, value)
-        updated_image_dict = {"data:image/jpg;path": str(DATA_ROOT / "logo.jpg")}
+        updated_value = self.processor.resolve_multimedia_data_recursively(input_dir, value)
+        updated_image_dict = {"type": "image_file", "image_file": {"path": str(DATA_ROOT / "logo.jpg")}}
         assert updated_value == {
             "image": updated_image_dict,
             "images": [updated_image_dict, updated_image_dict],
             "object": {"image": updated_image_dict, "other_data": "other_data"},
         }
 
-    def test_process_recursively(self):
-        image = _create_image_from_file(TEST_IMAGE_PATH)
-        value = {"image": image, "images": [image, image], "object": {"image": image, "other_data": "other_data"}}
-        process_funcs = {Image: lambda x: str(x)}
-        updated_value = _process_recursively(value, process_funcs)
-        image_str = str(image)
-        assert updated_value == {
-            "image": image_str,
-            "images": [image_str, image_str],
-            "object": {"image": image_str, "other_data": "other_data"},
-        }
-        assert value != updated_value
-
-    def test_process_recursively_inplace(self):
-        image = _create_image_from_file(TEST_IMAGE_PATH)
-        value = {"image": image, "images": [image, image], "object": {"image": image, "other_data": "other_data"}}
-        process_funcs = {Image: lambda x: str(x)}
-        _process_recursively(value, process_funcs, inplace=True)
-        image_str = str(image)
-        assert value == {
-            "image": image_str,
-            "images": [image_str, image_str],
-            "object": {"image": image_str, "other_data": "other_data"},
-        }
+    def test_persist_multimedia_date(self, mocker):
+        image = ImageProcessor.create_image_from_file(TEST_IMAGE_PATH)
+        text = Text("Hello, World!")
+        text_with_annotations = Text("Hello, World!", annotations=["annotation"])
+        mocker.patch("builtins.open", mock_open())
+        data = {"image": image, "images": [image, image, "other_data"], "texts": [text, text_with_annotations]}
+        persisted_data = self.processor.persist_multimedia_data(data, base_dir=Path(__file__).parent)
 
-    def test_process_multimedia_dict_recursively(self):
-        def process_func(image_dict):
-            return "image_placeholder"
+        file_name = re.compile(r"^[0-9a-z]{8}-[0-9a-z]{4}-[0-9a-z]{4}-[0-9a-z]{4}-[0-9a-z]{12}.jpeg$")
 
-        image_dict = {"data:image/jpg;path": "logo.jpg"}
-        value = {
-            "image": image_dict,
-            "images": [image_dict, image_dict],
-            "object": {"image": image_dict, "other_data": "other_data"},
+        def check_persisted_image_file(data: dict):
+            assert data["type"] == "image_file"
+            assert re.match(file_name, data["image_file"]["path"])
+
+        check_persisted_image_file(persisted_data["image"])
+        check_persisted_image_file(persisted_data["images"][0])
+        check_persisted_image_file(persisted_data["images"][1])
+        persisted_data["texts"] == [
+            {"type": "text", "text": "Hello, World!"},
+            {"type": "text", "text": {"value": "Hello, World!", "annotations": ["annotation"]}},
+        ]
+
+    def test_convert_multimedia_date_to_base64(self):
+        image = ImageProcessor.create_image_from_file(TEST_IMAGE_PATH)
+        data = {"image": image, "images": [image, image, "other_data"], "other_data": "other_data"}
+        base64_data = self.processor.convert_multimedia_data_to_base64_dict(data)
+        excepted_image = {
+            "type": "image_url",
+            "image_url": {"url": f"data:{image._mime_type};base64,{image.to_base64()}"},
         }
-        updated_value = _process_multimedia_dict_recursively(value, process_func)
-        assert updated_value == {
-            "image": "image_placeholder",
-            "images": ["image_placeholder", "image_placeholder"],
-            "object": {"image": "image_placeholder", "other_data": "other_data"},
+        assert base64_data == {
+            "image": excepted_image,
+            "images": [excepted_image, excepted_image, "other_data"],
+            "other_data": "other_data",
         }
+
+
+@pytest.mark.unittest
+def test_process_recursively():
+    image = ImageProcessor.create_image_from_file(TEST_IMAGE_PATH)
+    value = {"image": image, "images": [image, image], "object": {"image": image, "other_data": "other_data"}}
+    process_funcs = {Image: lambda x: str(x)}
+    updated_value = _process_recursively(value, process_funcs)
+    image_str = str(image)
+    assert updated_value == {
+        "image": image_str,
+        "images": [image_str, image_str],
+        "object": {"image": image_str, "other_data": "other_data"},
+    }
+    assert value != updated_value
+
+
+@pytest.mark.unittest
+def test_process_recursively_inplace():
+    image = ImageProcessor.create_image_from_file(TEST_IMAGE_PATH)
+    value = {"image": image, "images": [image, image], "object": {"image": image, "other_data": "other_data"}}
+    process_funcs = {Image: lambda x: str(x)}
+    _process_recursively(value, process_funcs, inplace=True)
+    image_str = str(image)
+    assert value == {
+        "image": image_str,
+        "images": [image_str, image_str],
+        "object": {"image": image_str, "other_data": "other_data"},
+    }
diff --git a/src/promptflow/tests/executor/unittests/_utils/test_process_utils.py b/src/promptflow/tests/executor/unittests/_utils/test_process_utils.py
new file mode 100644
index 00000000000..b0b370c2232
--- /dev/null
+++ b/src/promptflow/tests/executor/unittests/_utils/test_process_utils.py
@@ -0,0 +1,38 @@
+from unittest.mock import patch
+
+import pytest
+
+from promptflow._utils.process_utils import get_available_max_worker_count
+
+
+class TestProcessUtils:
+    @pytest.mark.parametrize(
+        "available_memory, process_memory, expected_max_worker_count, actual_calculate_worker_count",
+        [
+            (128.0, 64.0, 2, 2),  # available_memory/process_memory > 1
+            (63.0, 64.0, 1, 0),  # available_memory/process_memory < 1
+        ],
+    )
+    def test_get_available_max_worker_count(
+        self, available_memory, process_memory, expected_max_worker_count, actual_calculate_worker_count
+    ):
+        with patch("psutil.virtual_memory") as mock_mem:
+            mock_mem.return_value.available = available_memory * 1024 * 1024
+            with patch("psutil.Process") as mock_process:
+                mock_process.return_value.memory_info.return_value.rss = process_memory * 1024 * 1024
+                with patch("promptflow._utils.process_utils.bulk_logger") as mock_logger:
+                    mock_logger.warning.return_value = None
+                    estimated_available_worker_count = get_available_max_worker_count(mock_logger)
+                    assert estimated_available_worker_count == expected_max_worker_count
+                    if actual_calculate_worker_count < 1:
+                        mock_logger.warning.assert_called_with(
+                            f"Current system's available memory is {available_memory}MB, less than the memory "
+                            f"{process_memory}MB required by the process. The maximum available worker count is 1."
+                        )
+                    else:
+                        mock_logger.info.assert_called_with(
+                            f"Current system's available memory is {available_memory}MB, "
+                            f"memory consumption of current process is {process_memory}MB, "
+                            f"estimated available worker count is {available_memory}/{process_memory} "
+                            f"= {actual_calculate_worker_count}"
+                        )
diff --git a/src/promptflow/tests/executor/unittests/_utils/test_run_tracker_utils.py b/src/promptflow/tests/executor/unittests/_utils/test_run_tracker_utils.py
index a420b0daab8..2d41546f7e2 100644
--- a/src/promptflow/tests/executor/unittests/_utils/test_run_tracker_utils.py
+++ b/src/promptflow/tests/executor/unittests/_utils/test_run_tracker_utils.py
@@ -1,7 +1,7 @@
 import pytest
 
-from promptflow._core.generator_proxy import GeneratorProxy
 from promptflow._utils.run_tracker_utils import _deep_copy_and_extract_items_from_generator_proxy
+from promptflow.tracing.contracts.generator_proxy import GeneratorProxy
 
 
 @pytest.mark.unittest
diff --git a/src/promptflow/tests/executor/unittests/_utils/test_tool_utils.py b/src/promptflow/tests/executor/unittests/_utils/test_tool_utils.py
index d979a24955b..32dcbb269ae 100644
--- a/src/promptflow/tests/executor/unittests/_utils/test_tool_utils.py
+++ b/src/promptflow/tests/executor/unittests/_utils/test_tool_utils.py
@@ -17,7 +17,7 @@
     validate_tool_func_result,
 )
 from promptflow.connections import AzureOpenAIConnection, CustomConnection
-from promptflow.contracts.tool import ValueType, Tool, ToolFuncCallScenario, ToolType
+from promptflow.contracts.tool import Tool, ToolFuncCallScenario, ToolType, ValueType
 
 
 # mock functions for dynamic list function testing
@@ -331,7 +331,13 @@ def test_validate_dynamic_list_func_response_type_with_error(self, res, err_msg)
 
     def test_load_function_from_function_path(self, mock_module_with_list_func):
         func_path = "my_tool_package.tools.tool_with_dynamic_list_input.my_list_func"
-        load_function_from_function_path(func_path)
+        tool_func = load_function_from_function_path(func_path)
+        assert callable(tool_func)
+
+    def test_load_function_from_script(self):
+        func_path = f"{__file__}:mock_dynamic_list_func1"
+        tool_func = load_function_from_function_path(func_path)
+        assert callable(tool_func)
 
     def test_load_function_from_function_path_with_error(self, mock_module_with_list_func):
         func_path = "mock_func_path"
@@ -371,13 +377,13 @@ def test_load_function_from_function_path_with_error(self, mock_module_with_list
                 ToolFuncCallScenario.REVERSE_GENERATED_BY,
                 "dummy_result",
                 f"ToolFuncCallScenario {ToolFuncCallScenario.REVERSE_GENERATED_BY} response must be a dict. "
-                f"dummy_result is not a dict."
+                f"dummy_result is not a dict.",
             ),
             (
                 "dummy_scenario",
                 "dummy_result",
                 f"Invalid tool func call scenario: dummy_scenario. "
-                f"Available scenarios are {list(ToolFuncCallScenario)}"
+                f"Available scenarios are {list(ToolFuncCallScenario)}",
             ),
         ],
     )
@@ -388,7 +394,7 @@ def test_validate_tool_func_result(self, func_call_scenario, result, err_msg):
         )
         with pytest.raises(RetrieveToolFuncResultValidationError) as e:
             validate_tool_func_result(func_call_scenario, result)
-        assert (error_message == str(e.value))
+        assert error_message == str(e.value)
 
     def test_find_deprecated_tools(self):
         package_tools = {
diff --git a/src/promptflow/tests/executor/unittests/_utils/test_utils.py b/src/promptflow/tests/executor/unittests/_utils/test_utils.py
index 74e2bfc9651..75e38520a21 100644
--- a/src/promptflow/tests/executor/unittests/_utils/test_utils.py
+++ b/src/promptflow/tests/executor/unittests/_utils/test_utils.py
@@ -1,9 +1,10 @@
-import pytest
 import os
-from unittest.mock import patch
 from datetime import datetime
+from unittest.mock import patch
 
-from promptflow._utils.utils import is_json_serializable, get_int_env_var, log_progress
+import pytest
+
+from promptflow._utils.utils import get_int_env_var, is_json_serializable, log_progress
 
 
 class MyObj:
@@ -45,25 +46,31 @@ def test_get_int_env_var_without_default_vaue(self, env_var, env_value, expected
     @patch("promptflow.executor._line_execution_process_pool.bulk_logger", autospec=True)
     def test_log_progress(self, mock_logger):
         run_start_time = datetime.utcnow()
-        count = 1
         # Tests do not log when not specified at specified intervals (interval = 2)
         total_count = 20
-        log_progress(run_start_time, mock_logger, count, total_count)
+        current_count = 3
+        last_log_count = 2
+        log_progress(run_start_time, total_count, current_count, last_log_count, mock_logger)
         mock_logger.info.assert_not_called()
 
         # Test logging at specified intervals (interval = 2)
-        count = 8
-        log_progress(run_start_time, mock_logger, count, total_count)
+        current_count = 8
+        last_log_count = 7
+        log_progress(run_start_time, total_count, current_count, last_log_count, mock_logger)
         mock_logger.info.assert_any_call("Finished 8 / 20 lines.")
 
         mock_logger.reset_mock()
 
-        # Test logging using last_log_count parameter (conut - last_log_count > interval(2))
-        log_progress(run_start_time, mock_logger, count, total_count, last_log_count=5)
-        mock_logger.info.assert_any_call("Finished 8 / 20 lines.")
+        # Test logging using last_log_count parameter (conut - last_log_count >= interval(2))
+        current_count = 9
+        last_log_count = 7
+        log_progress(run_start_time, total_count, current_count, last_log_count, mock_logger)
+        mock_logger.info.assert_any_call("Finished 9 / 20 lines.")
 
         mock_logger.reset_mock()
 
         # Test don't log using last_log_count parameter ((conut - last_log_count < interval(2))
-        log_progress(run_start_time, mock_logger, count, total_count, last_log_count=7)
+        current_count = 9
+        last_log_count = 8
+        log_progress(run_start_time, total_count, current_count, last_log_count, mock_logger)
         mock_logger.info.assert_not_called()
diff --git a/src/promptflow/tests/executor/unittests/batch/test_base_executor_proxy.py b/src/promptflow/tests/executor/unittests/batch/test_base_executor_proxy.py
index 2ea8845200c..313e20f02e0 100644
--- a/src/promptflow/tests/executor/unittests/batch/test_base_executor_proxy.py
+++ b/src/promptflow/tests/executor/unittests/batch/test_base_executor_proxy.py
@@ -7,8 +7,8 @@
 import httpx
 import pytest
 
+from promptflow._proxy._base_executor_proxy import APIBasedExecutorProxy
 from promptflow._utils.exception_utils import ExceptionPresenter
-from promptflow.batch._base_executor_proxy import APIBasedExecutorProxy
 from promptflow.batch._errors import ExecutorServiceUnhealthy
 from promptflow.contracts.run_info import Status
 from promptflow.exceptions import ErrorTarget, ValidationException
@@ -30,17 +30,18 @@ async def test_exec_line_async(self, has_error):
         run_id = "test_run_id"
         index = 1
         inputs = {"question": "test"}
-        with patch("httpx.AsyncClient.post", new_callable=AsyncMock) as mock:
+        with patch("httpx.Response.raise_for_status"):
             line_result_dict = _get_line_result_dict(run_id, index, inputs, has_error=has_error)
             status_code = 400 if has_error else 200
-            mock.return_value = httpx.Response(status_code, json=line_result_dict)
-            line_result = await mock_executor_proxy.exec_line_async(inputs, index, run_id)
-            assert line_result.output == {} if has_error else {"answer": "Hello world!"}
-            assert line_result.run_info.run_id == run_id
-            assert line_result.run_info.index == index
-            assert line_result.run_info.status == Status.Failed if has_error else Status.Completed
-            assert line_result.run_info.inputs == inputs
-            assert (line_result.run_info.error is not None) == has_error
+            response = httpx.Response(status_code=status_code, json=line_result_dict)
+            with patch("httpx.AsyncClient.post", return_value=response):
+                line_result = await mock_executor_proxy.exec_line_async(inputs, index, run_id)
+                assert line_result.output == {} if has_error else {"answer": "Hello world!"}
+                assert line_result.run_info.run_id == run_id
+                assert line_result.run_info.index == index
+                assert line_result.run_info.status == Status.Failed if has_error else Status.Completed
+                assert line_result.run_info.inputs == inputs
+                assert (line_result.run_info.error is not None) == has_error
 
     @pytest.mark.asyncio
     async def test_exec_aggregation_async(self):
@@ -48,15 +49,16 @@ async def test_exec_aggregation_async(self):
         run_id = "test_run_id"
         batch_inputs = {"question": ["test", "error"]}
         aggregation_inputs = {"${get_answer.output}": ["Incorrect", "Correct"]}
-        with patch("httpx.AsyncClient.post", new_callable=AsyncMock) as mock:
+        with patch("httpx.Response.raise_for_status"):
             aggr_result_dict = _get_aggr_result_dict(run_id, aggregation_inputs)
-            mock.return_value = httpx.Response(200, json=aggr_result_dict)
-            aggr_result = await mock_executor_proxy.exec_aggregation_async(batch_inputs, aggregation_inputs, run_id)
-            assert aggr_result.metrics == {"accuracy": 0.5}
-            assert len(aggr_result.node_run_infos) == 1
-            assert aggr_result.node_run_infos["aggregation"].flow_run_id == run_id
-            assert aggr_result.node_run_infos["aggregation"].inputs == aggregation_inputs
-            assert aggr_result.node_run_infos["aggregation"].status == Status.Completed
+            response = httpx.Response(200, json=aggr_result_dict)
+            with patch("httpx.AsyncClient.post", return_value=response):
+                aggr_result = await mock_executor_proxy.exec_aggregation_async(batch_inputs, aggregation_inputs, run_id)
+                assert aggr_result.metrics == {"accuracy": 0.5}
+                assert len(aggr_result.node_run_infos) == 1
+                assert aggr_result.node_run_infos["aggregation"].flow_run_id == run_id
+                assert aggr_result.node_run_infos["aggregation"].inputs == aggregation_inputs
+                assert aggr_result.node_run_infos["aggregation"].status == Status.Completed
 
     @pytest.mark.asyncio
     async def test_ensure_executor_startup_when_no_error(self):
@@ -141,10 +143,6 @@ async def test_check_health(self, mock_value, expected_result):
     @pytest.mark.parametrize(
         "response, expected_result",
         [
-            (
-                httpx.Response(200, json={"result": "test"}),
-                {"result": "test"},
-            ),
             (
                 httpx.Response(500, json={"error": "test error"}),
                 "test error",
@@ -189,9 +187,9 @@ async def test_check_health(self, mock_value, expected_result):
             ),
         ],
     )
-    async def test_process_http_response(self, response, expected_result):
+    async def test_process_error_response(self, response, expected_result):
         mock_executor_proxy = await MockAPIBasedExecutorProxy.create("")
-        assert mock_executor_proxy._process_http_response(response) == expected_result
+        assert mock_executor_proxy._process_error_response(response) == expected_result
 
 
 class MockAPIBasedExecutorProxy(APIBasedExecutorProxy):
diff --git a/src/promptflow/tests/executor/unittests/batch/test_batch_engine.py b/src/promptflow/tests/executor/unittests/batch/test_batch_engine.py
index cddc8c5789f..6ae3820e03c 100644
--- a/src/promptflow/tests/executor/unittests/batch/test_batch_engine.py
+++ b/src/promptflow/tests/executor/unittests/batch/test_batch_engine.py
@@ -5,7 +5,11 @@
 import pytest
 
 from promptflow._core._errors import UnexpectedError
-from promptflow.batch import APIBasedExecutorProxy, BatchEngine, CSharpExecutorProxy, PythonExecutorProxy
+from promptflow._proxy import ProxyFactory
+from promptflow._proxy._base_executor_proxy import APIBasedExecutorProxy
+from promptflow._proxy._csharp_executor_proxy import CSharpExecutorProxy
+from promptflow._proxy._python_executor_proxy import PythonExecutorProxy
+from promptflow.batch import BatchEngine
 from promptflow.contracts.run_info import Status
 from promptflow.exceptions import ErrorTarget
 from promptflow.executor._errors import ConnectionNotFound
@@ -52,16 +56,16 @@ def test_batch_engine_run_error(self, side_effect, ex_type, ex_target, ex_codes,
 
     def test_register_executor(self):
         # assert original values
-        assert BatchEngine.executor_proxy_classes["python"] == PythonExecutorProxy
-        assert BatchEngine.executor_proxy_classes["csharp"] == CSharpExecutorProxy
+        assert ProxyFactory.executor_proxy_classes["python"] == PythonExecutorProxy
+        assert ProxyFactory.executor_proxy_classes["csharp"] == CSharpExecutorProxy
 
         class MockJSExecutorProxy(APIBasedExecutorProxy):
             pass
 
         # register new proxy
-        BatchEngine.register_executor("js", MockJSExecutorProxy)
-        assert BatchEngine.executor_proxy_classes["js"] == MockJSExecutorProxy
-        assert len(BatchEngine.executor_proxy_classes) == 3
+        ProxyFactory.register_executor("js", MockJSExecutorProxy)
+        assert ProxyFactory.executor_proxy_classes["js"] == MockJSExecutorProxy
+        assert len(ProxyFactory.executor_proxy_classes) == 3
 
     def test_cancel(self):
         batch_engine = BatchEngine(get_yaml_file("print_input_flow"))
diff --git a/src/promptflow/tests/executor/unittests/batch/test_batch_inputs_processor.py b/src/promptflow/tests/executor/unittests/batch/test_batch_inputs_processor.py
index 3b842aae4ed..59491138298 100644
--- a/src/promptflow/tests/executor/unittests/batch/test_batch_inputs_processor.py
+++ b/src/promptflow/tests/executor/unittests/batch/test_batch_inputs_processor.py
@@ -5,6 +5,7 @@
 import pytest
 
 from promptflow._core._errors import UnexpectedError
+from promptflow._utils._errors import ApplyInputMappingError
 from promptflow._utils.inputs_mapping_utils import apply_inputs_mapping
 from promptflow._utils.utils import dump_list_to_jsonl
 from promptflow.batch._batch_inputs_processor import BatchInputsProcessor
@@ -135,7 +136,7 @@ def test_apply_inputs_mapping(self, inputs, inputs_mapping, expected):
                     "question": "${baseline.output}",
                     "answer": "${data.output}",
                 },
-                InputMappingError,
+                ApplyInputMappingError,
                 "Couldn't find these mapping relations: ${baseline.output}, ${data.output}. "
                 "Please make sure your input mapping keys and values match your YAML input section and input data.",
             ),
diff --git a/src/promptflow/tests/executor/unittests/batch/test_csharp_executor_proxy.py b/src/promptflow/tests/executor/unittests/batch/test_csharp_executor_proxy.py
index f78747378bd..5e7b42c0887 100644
--- a/src/promptflow/tests/executor/unittests/batch/test_csharp_executor_proxy.py
+++ b/src/promptflow/tests/executor/unittests/batch/test_csharp_executor_proxy.py
@@ -8,8 +8,8 @@
 import pytest
 
 from promptflow._core._errors import MetaFileNotFound, MetaFileReadError
+from promptflow._proxy._csharp_executor_proxy import CSharpExecutorProxy
 from promptflow._sdk._constants import FLOW_TOOLS_JSON, PROMPT_FLOW_DIR_NAME
-from promptflow.batch import CSharpExecutorProxy
 from promptflow.executor._result import AggregationResult
 
 from ...utils import get_flow_folder, get_yaml_file
@@ -22,6 +22,9 @@ async def get_executor_proxy():
         return await CSharpExecutorProxy.create(flow_file, working_dir)
 
 
+DUMMY_FLOW_FILE = get_yaml_file("csharp_flow")
+
+
 @pytest.mark.unittest
 class TestCSharpExecutorProxy:
     @pytest.mark.asyncio
@@ -105,13 +108,13 @@ def test_get_tool_metadata_succeed(self):
         with open(tool_meta_file, "w") as file:
             json.dump(expected_tool_meta, file, indent=4)
 
-        tool_meta = CSharpExecutorProxy.get_tool_metadata("", working_dir)
+        tool_meta = CSharpExecutorProxy.generate_flow_tools_json(DUMMY_FLOW_FILE, working_dir)
         assert tool_meta == expected_tool_meta
 
     def test_get_tool_metadata_failed_with_file_not_found(self):
         working_dir = Path(mkdtemp())
         with pytest.raises(MetaFileNotFound):
-            CSharpExecutorProxy.get_tool_metadata("", working_dir)
+            CSharpExecutorProxy.generate_flow_tools_json(DUMMY_FLOW_FILE, working_dir)
 
     def test_get_tool_metadata_failed_with_content_not_json(self):
         working_dir = Path(mkdtemp())
@@ -120,7 +123,7 @@ def test_get_tool_metadata_failed_with_content_not_json(self):
         tool_meta_file.touch()
 
         with pytest.raises(MetaFileReadError):
-            CSharpExecutorProxy.get_tool_metadata("", working_dir)
+            CSharpExecutorProxy.generate_flow_tools_json(DUMMY_FLOW_FILE, working_dir)
 
     def test_find_available_port(self):
         port = CSharpExecutorProxy.find_available_port()
diff --git a/src/promptflow/tests/executor/unittests/batch/test_result.py b/src/promptflow/tests/executor/unittests/batch/test_result.py
index c5264c345f3..98637ef79d9 100644
--- a/src/promptflow/tests/executor/unittests/batch/test_result.py
+++ b/src/promptflow/tests/executor/unittests/batch/test_result.py
@@ -115,13 +115,13 @@ def test_system_metrics(self):
 
         api_call_1 = get_api_call(
             "LLM",
-            "openai.resources.completions.Completions.create",
+            "openai_completion",
             inputs={"prompt": "Please tell me a joke.", "model": "text-davinci-003"},
             output={"choices": [{"text": "text"}]},
         )
         api_call_2 = get_api_call(
             "LLM",
-            "openai.resources.completions.Completions.create",
+            "openai_completion",
             inputs={
                 "prompt": ["Please tell me a joke.", "Please tell me a joke about fruit."],
                 "model": "text-davinci-003",
@@ -146,7 +146,7 @@ def test_system_metrics(self):
         line_api_calls = get_api_call("Chain", "Chain", children=[api_call_1, api_call_2])
         aggr_api_call = get_api_call(
             "LLM",
-            "openai.resources.chat.completions.Completions.create",
+            "openai_chat",
             inputs={
                 "messages": [{"system": "You are a helpful assistant.", "user": "Please tell me a joke."}],
                 "model": "gpt-35-turbo",
diff --git a/src/promptflow/tests/executor/unittests/contracts/test_multimedia.py b/src/promptflow/tests/executor/unittests/contracts/test_multimedia.py
index 24c05957bde..e4aa89a55dd 100644
--- a/src/promptflow/tests/executor/unittests/contracts/test_multimedia.py
+++ b/src/promptflow/tests/executor/unittests/contracts/test_multimedia.py
@@ -23,7 +23,6 @@ def test_image_contract(self, value, mime_type, source_url):
         assert image._hash == "a94a8fe5"
         assert image.to_base64() == "dGVzdA=="
         assert image.to_base64(with_type=True) == f"data:{mime_type};base64,dGVzdA=="
-        assert image.to_base64(with_type=True, dict_type=True) == {f"data:{mime_type};base64": "dGVzdA=="}
         assert bytes(image) == value
         assert image.source_url == source_url
         assert str(image) == "Image(a94a8fe5)"
@@ -46,6 +45,5 @@ def test_pfbytes_contract(self, value, mime_type, source_url):
         assert pfBytes._hash == "a94a8fe5"
         assert pfBytes.to_base64() == "dGVzdA=="
         assert pfBytes.to_base64(with_type=True) == f"data:{mime_type};base64,dGVzdA=="
-        assert pfBytes.to_base64(with_type=True, dict_type=True) == {f"data:{mime_type};base64": "dGVzdA=="}
         assert bytes(pfBytes) == value
         assert pfBytes.source_url == source_url
diff --git a/src/promptflow/tests/executor/unittests/contracts/test_run_info.py b/src/promptflow/tests/executor/unittests/contracts/test_run_info.py
index 9c5ab1dc231..c0faa6ea51d 100644
--- a/src/promptflow/tests/executor/unittests/contracts/test_run_info.py
+++ b/src/promptflow/tests/executor/unittests/contracts/test_run_info.py
@@ -62,7 +62,6 @@ def test_deserialize(self):
             "end_time": "2023-11-24T06:03:20.268858Z",
             "index": 0,
             "api_calls": None,
-            "variant_id": "",
             "cached_run_id": None,
             "cached_flow_run_id": None,
             "logs": None,
@@ -120,7 +119,6 @@ def test_deserialize(self):
             "end_time": "2023-11-23T10:58:37.9590789Z",
             "index": 0,
             "api_calls": None,
-            "variant_id": "",
             "name": "",
             "description": "",
             "tags": None,
diff --git a/src/promptflow/tests/executor/unittests/executor/_service/apis/test_common.py b/src/promptflow/tests/executor/unittests/executor/_service/apis/test_common.py
index 98810eb8424..072a1e9c678 100644
--- a/src/promptflow/tests/executor/unittests/executor/_service/apis/test_common.py
+++ b/src/promptflow/tests/executor/unittests/executor/_service/apis/test_common.py
@@ -1,6 +1,8 @@
 import pytest
 from fastapi.testclient import TestClient
 
+from promptflow.core._version import __version__
+
 
 @pytest.mark.unittest
 class TestCommonApis:
@@ -11,12 +13,13 @@ def test_health(self, executor_client: TestClient):
 
     def test_version(self, monkeypatch, executor_client: TestClient):
         # mock the BUILD_INFO env variable
-        monkeypatch.setenv("BUILD_INFO", '{"build_number": "20240131.v1"}')
+        monkeypatch.setenv("BUILD_INFO", '{"commit_id": "test-commit-id"}')
 
         response = executor_client.get("/version")
         assert response.status_code == 200
 
         response = response.json()
         assert response["status"] == "healthy"
-        assert response["version"] == "promptflow-executor/20240131.v1"
+        assert response["version"] == __version__
+        assert response["commit_id"] == "test-commit-id"
         assert isinstance(response["feature_list"], list)
diff --git a/src/promptflow/tests/executor/unittests/executor/_service/contracts/test_execution_request.py b/src/promptflow/tests/executor/unittests/executor/_service/contracts/test_execution_request.py
index eafa5e358f0..76096b9ab19 100644
--- a/src/promptflow/tests/executor/unittests/executor/_service/contracts/test_execution_request.py
+++ b/src/promptflow/tests/executor/unittests/executor/_service/contracts/test_execution_request.py
@@ -31,4 +31,4 @@ def test_get_run_mode(self):
     def test_validate_request(self):
         with pytest.raises(FlowFilePathInvalid) as exc_info:
             BaseExecutionRequest(**MOCK_REQUEST).validate_request()
-        assert "The path should be relative to the working directory." in exc_info.value.message
+        assert "the flow file path should be relative to the working directory." in exc_info.value.message
diff --git a/src/promptflow/tests/executor/unittests/executor/_service/utils/test_process_utils.py b/src/promptflow/tests/executor/unittests/executor/_service/utils/test_process_utils.py
index 6d1aae1692a..bbb3f3fa504 100644
--- a/src/promptflow/tests/executor/unittests/executor/_service/utils/test_process_utils.py
+++ b/src/promptflow/tests/executor/unittests/executor/_service/utils/test_process_utils.py
@@ -6,7 +6,6 @@
 import pytest
 
 from promptflow._core._errors import UnexpectedError
-from promptflow._core.operation_context import OperationContext
 from promptflow._utils.exception_utils import JsonSerializedPromptflowException
 from promptflow.exceptions import ErrorTarget
 from promptflow.executor._service._errors import ExecutionTimeoutError
@@ -15,6 +14,7 @@
     exception_wrapper,
     invoke_sync_function_in_process,
 )
+from promptflow.tracing._operation_context import OperationContext
 
 MOCK_CONTEXT_DICT = {"context_test_key": "test_value"}
 
diff --git a/src/promptflow/tests/executor/unittests/executor/_service/utils/test_service_utils.py b/src/promptflow/tests/executor/unittests/executor/_service/utils/test_service_utils.py
index e741ef23951..11b58a2fe84 100644
--- a/src/promptflow/tests/executor/unittests/executor/_service/utils/test_service_utils.py
+++ b/src/promptflow/tests/executor/unittests/executor/_service/utils/test_service_utils.py
@@ -7,11 +7,13 @@
 
 from promptflow._utils.exception_utils import ExceptionPresenter, JsonSerializedPromptflowException, ResponseCode
 from promptflow._utils.logger_utils import bulk_logger, flow_logger, logger, service_logger
+from promptflow._version import VERSION as PF_VERSION
+from promptflow.core._version import __version__ as PF_CORE_VERSION
 from promptflow.executor._service._errors import ExecutionTimeoutError
 from promptflow.executor._service.contracts.execution_request import BaseExecutionRequest, FlowExecutionRequest
 from promptflow.executor._service.utils.service_utils import (
     generate_error_response,
-    get_executor_version,
+    get_commit_id,
     get_log_context,
     set_environment_variables,
     update_and_get_operation_context,
@@ -63,22 +65,22 @@ def test_update_and_get_operation_context(self, monkeypatch):
             "user_agent": "dummy_user_agent",
             "request_id": "dummy_request_id",
         }
-        # mock the BUILD_INFO env variable
-        monkeypatch.setenv("BUILD_INFO", '{"build_number": "20240131.v1"}')
-
         operation_context = update_and_get_operation_context(context_dict)
-        assert operation_context.user_agent == "dummy_user_agent promptflow-executor/20240131.v1"
+        assert (
+            operation_context.user_agent
+            == f"dummy_user_agent promptflow/{PF_VERSION} promptflow-core/{PF_CORE_VERSION}"
+        )
         assert operation_context.request_id == "dummy_request_id"
 
-    def test_get_executor_version(self, monkeypatch):
+    def test_get_commit_id(self, monkeypatch):
         # mock have the BUILD_INFO env variable
-        monkeypatch.setenv("BUILD_INFO", '{"build_number": "20240131.v1"}')
-        executor_version = get_executor_version()
-        assert executor_version == "promptflow-executor/20240131.v1"
+        monkeypatch.setenv("BUILD_INFO", '{"commit_id": "test-commit-id"}')
+        commit_id = get_commit_id()
+        assert commit_id == "test-commit-id"
         # mock do not have the BUILD_INFO env variable
         monkeypatch.setenv("BUILD_INFO", "")
-        executor_version = get_executor_version()
-        assert executor_version == "promptflow-executor/0.0.1"
+        commit_id = get_commit_id()
+        assert commit_id == "unknown"
 
     def test_generate_error_response(self):
         non_pf_ex = ValueError("Test exception")
diff --git a/src/promptflow/tests/executor/unittests/executor/test_assistant_tool_invoker.py b/src/promptflow/tests/executor/unittests/executor/assistant_sample_tool.py
similarity index 100%
rename from src/promptflow/tests/executor/unittests/executor/test_assistant_tool_invoker.py
rename to src/promptflow/tests/executor/unittests/executor/assistant_sample_tool.py
diff --git a/src/promptflow/tests/executor/unittests/executor/test_assistant.py b/src/promptflow/tests/executor/unittests/executor/test_assistant.py
new file mode 100644
index 00000000000..ea887895d37
--- /dev/null
+++ b/src/promptflow/tests/executor/unittests/executor/test_assistant.py
@@ -0,0 +1,168 @@
+import pytest
+
+from promptflow.contracts.flow import ToolSourceType
+from promptflow.contracts.tool import ToolType
+from promptflow.executor import FlowExecutor
+from promptflow.executor._assistant_tool_invoker import AssistantToolResolver
+from promptflow.executor._errors import InvalidAssistantTool, ResolveToolError
+
+from ...utils import WRONG_FLOW_ROOT, get_yaml_file
+
+
+@pytest.mark.unittest
+@pytest.mark.usefixtures("use_secrets_config_file", "dev_connections")
+class TestAssistant:
+    @pytest.mark.parametrize(
+        "flow_folder, exception_class, error_message",
+        [
+            (
+                "assistant_package_tool_wrong_source_type",
+                ResolveToolError,
+                (
+                    "Tool source type 'package1' is not supported in assistant node 'assistant'. "
+                    "Please make sure the assistant definition is correct."
+                ),
+            ),
+            (
+                "assistant_package_tool_wrong_tool",
+                ResolveToolError,
+                (
+                    "Package tool 'hello.world' is not found in the current environment. "
+                    "All available package tools are: []."
+                ),
+            ),
+            (
+                "assistant_python_tool_wrong_path",
+                ResolveToolError,
+                ("Load tool failed for node 'assistant'. Tool file './hello.py' can not be found."),
+            ),
+        ],
+    )
+    def test_assistant_tool_resolve_exception(self, dev_connections, flow_folder, exception_class, error_message):
+
+        with pytest.raises(exception_class) as e:
+            executor = FlowExecutor.create(get_yaml_file(flow_folder, WRONG_FLOW_ROOT), dev_connections)
+            executor.exec_line({})
+        assert error_message in str(e.value)
+
+
+@pytest.mark.unittest
+@pytest.mark.usefixtures
+class TestAssistantToolResolver:
+    def test_resolve_python_tool(self):
+        data = {
+            "type": "function",
+            "source": {"path": "dummy_assistant.py", "type": "code"},
+            "tool_type": "python",
+            "predefined_inputs": {"connection": "my_aoai_connection"},
+        }
+        tool = AssistantToolResolver.from_dict(data, "dummy_assistant")
+        assert tool.type == "function"
+        assert tool.tool_type == ToolType.PYTHON
+        assert tool.source.path == "dummy_assistant.py"
+        assert tool.source.type == ToolSourceType.Code
+        assert tool.predefined_inputs == {"connection": "my_aoai_connection"}
+
+    def test_resolve_package_tool(self):
+        data = {
+            "type": "function",
+            "source": {"tool": "hello.world", "type": "package"},
+            "tool_type": "python",
+            "predefined_inputs": {"connection": "my_aoai_connection"},
+        }
+        tool = AssistantToolResolver.from_dict(data, "dummy_assistant")
+        assert tool.type == "function"
+        assert tool.tool_type == ToolType.PYTHON
+        assert tool.source.tool == "hello.world"
+        assert tool.source.type == ToolSourceType.Package
+        assert tool.predefined_inputs == {"connection": "my_aoai_connection"}
+
+    def test_type_invalid(self):
+        data = {
+            "type": "type11",
+            "source": {"tool": "hello.world", "type": "package"},
+            "tool_type": "python",
+            "predefined_inputs": {"connection": "my_aoai_connection"},
+        }
+        with pytest.raises(InvalidAssistantTool) as e:
+            AssistantToolResolver.from_dict(data, "dummy_assistant")
+        assert (
+            "Unsupported assistant tool's type in node <node_name> : type11. "
+            "Please make sure the type is restricted within "
+            "['code_interpreter', 'function', 'retrieval']." in str(e.value)
+        )
+
+        data = {
+            "source": {"tool": "hello.world", "type": "package"},
+            "tool_type": "python",
+            "predefined_inputs": {"connection": "my_aoai_connection"},
+        }
+        with pytest.raises(InvalidAssistantTool) as e:
+            AssistantToolResolver.from_dict(data, "dummy_assistant")
+        assert (
+            "Unsupported assistant tool's type in node <node_name> : None. "
+            "Please make sure the type is restricted within "
+            "['code_interpreter', 'function', 'retrieval']." in str(e.value)
+        )
+
+    def test_invalid_source(self):
+        data = {"type": "function", "tool_type": "python", "predefined_inputs": {"connection": "my_aoai_connection"}}
+        with pytest.raises(InvalidAssistantTool) as e:
+            AssistantToolResolver.from_dict(data, "dummy_assistant")
+        assert (
+            "The 'source' property is missing in the assistant node 'dummy_assistant'. "
+            "Please make sure the assistant definition is correct."
+        ) in str(e.value)
+
+        data = {
+            "type": "function",
+            "source": {"type": "code"},
+            "tool_type": "python",
+            "predefined_inputs": {"connection": "my_aoai_connection"},
+        }
+        with pytest.raises(InvalidAssistantTool) as e:
+            AssistantToolResolver.from_dict(data, "dummy_assistant")
+        assert (
+            "The 'path' property is missing in 'source' of the assistant python tool in node 'dummy_assistant'. "
+            "Please make sure the assistant definition is correct."
+        ) in str(e.value)
+
+        data = {
+            "type": "function",
+            "source": {"path": "", "type": "code"},
+            "tool_type": "python",
+            "predefined_inputs": {"connection": "my_aoai_connection"},
+        }
+        with pytest.raises(InvalidAssistantTool) as e:
+            AssistantToolResolver.from_dict(data, "dummy_assistant")
+        assert (
+            "The 'path' property is missing in 'source' of the assistant python tool in node 'dummy_assistant'. "
+            "Please make sure the assistant definition is correct."
+        ) in str(e.value)
+
+        data = {
+            "type": "function",
+            "source": {"path": "hello.py", "type": "code11"},
+            "tool_type": "python",
+            "predefined_inputs": {"connection": "my_aoai_connection"},
+        }
+        with pytest.raises(InvalidAssistantTool) as e:
+            AssistantToolResolver.from_dict(data, "dummy_assistant")
+        assert (
+            "Tool source type 'code11' is not supported in assistant node "
+            "'dummy_assistant'. Please make sure the assistant definition is correct."
+        ) in str(e.value)
+
+    def test_invalid_tool_type(self):
+        data = {
+            "type": "function",
+            "source": {"path": "hello.py", "type": "code"},
+            "tool_type": "python11",
+            "predefined_inputs": {"connection": "my_aoai_connection"},
+        }
+        with pytest.raises(InvalidAssistantTool) as e:
+            AssistantToolResolver.from_dict(data, "dummy_assistant")
+        assert (
+            "The 'tool_type' property is missing or invalid in assistant node 'dummy_assistant'. "
+            "Please make sure the assistant definition is correct."
+        ) in str(e.value)
diff --git a/src/promptflow/tests/executor/unittests/processpool/test_line_execution_process_pool.py b/src/promptflow/tests/executor/unittests/executor/test_line_execution_process_pool.py
similarity index 85%
rename from src/promptflow/tests/executor/unittests/processpool/test_line_execution_process_pool.py
rename to src/promptflow/tests/executor/unittests/executor/test_line_execution_process_pool.py
index 6c1a1ac45e4..49e7d1cb161 100644
--- a/src/promptflow/tests/executor/unittests/processpool/test_line_execution_process_pool.py
+++ b/src/promptflow/tests/executor/unittests/executor/test_line_execution_process_pool.py
@@ -19,15 +19,14 @@
     LineExecutionProcessPool,
     _exec_line,
     format_current_process_info,
-    get_available_max_worker_count,
     log_process_status,
 )
-from promptflow.executor._process_manager import create_spawned_fork_process_manager
+from promptflow.executor._process_manager import ProcessPoolConstants, create_spawned_fork_process_manager
 from promptflow.executor._result import LineResult
 
 from ...utils import get_flow_sample_inputs, get_yaml_file
 
-SAMPLE_FLOW = "web_classification_no_variants"
+SAMPLE_FLOW = "hello-world"
 
 
 def get_line_inputs(flow_folder=""):
@@ -65,10 +64,10 @@ def execute_in_fork_mode_subprocess(dev_connections, flow_folder, has_passed_wor
 
     with patch("promptflow.executor._line_execution_process_pool.bulk_logger") as mock_logger:
         with LineExecutionProcessPool(
-            executor,
-            nlines,
-            run_id,
             None,
+            executor,
+            nlines=nlines,
+            run_id=run_id,
             worker_count=pf_worker_count if has_passed_worker_count else None,
         ) as pool:
             assert pool._n_process == n_process
@@ -108,10 +107,10 @@ def execute_in_spawn_mode_subprocess(
             mock_process.return_value.memory_info.return_value.rss = 64 * 1024 * 1024
             with patch("promptflow.executor._line_execution_process_pool.bulk_logger") as mock_logger:
                 with LineExecutionProcessPool(
-                    executor,
-                    nlines,
-                    run_id,
                     None,
+                    executor,
+                    nlines=nlines,
+                    run_id=run_id,
                     worker_count=pf_worker_count if has_passed_worker_count else None,
                 ) as pool:
                     assert pool._n_process == n_process
@@ -142,10 +141,10 @@ def create_line_execution_process_pool(dev_connections):
     bulk_inputs = get_bulk_inputs()
     nlines = len(bulk_inputs)
     line_execution_process_pool = LineExecutionProcessPool(
-        executor,
-        nlines,
-        run_id,
         None,
+        executor,
+        nlines=nlines,
+        run_id=run_id,
         line_timeout_sec=1,
     )
     return line_execution_process_pool
@@ -183,14 +182,16 @@ def custom_create_spawned_fork_process_manager(*args, **kwargs):
 
 
 @pytest.mark.unittest
+@pytest.mark.usefixtures("recording_injection")
 class TestLineExecutionProcessPool:
+    @pytest.mark.asyncio
     @pytest.mark.parametrize(
         "flow_folder",
         [
             SAMPLE_FLOW,
         ],
     )
-    def test_line_execution_process_pool(self, flow_folder, dev_connections):
+    async def test_line_execution_process_pool(self, flow_folder, dev_connections):
         log_path = str(Path(mkdtemp()) / "test.log")
         log_context_initializer = LogContext(log_path).get_initializer()
         log_context = log_context_initializer()
@@ -202,37 +203,47 @@ def test_line_execution_process_pool(self, flow_folder, dev_connections):
             nlines = len(bulk_inputs)
             run_id = run_id or str(uuid.uuid4())
             with LineExecutionProcessPool(
-                executor,
-                nlines,
-                run_id,
                 None,
+                executor,
+                nlines=nlines,
+                run_id=run_id,
             ) as pool:
-                result_list = pool.run(zip(range(nlines), bulk_inputs))
+                result_list = await pool.run(zip(range(nlines), bulk_inputs))
+                if sys.platform == "linux":
+                    # Check 'spawned_fork_process_manager_stderr_runid.log' exits.
+                    log_file = ProcessPoolConstants.PROCESS_LOG_PATH / ProcessPoolConstants.MANAGER_PROCESS_LOG_NAME
+                    assert log_file.exists() is True
+                child_process_log_exit = False
+                for file in ProcessPoolConstants.PROCESS_LOG_PATH.iterdir():
+                    # Check 'process_stderr.log' exits.
+                    if file.name.startswith(ProcessPoolConstants.PROCESS_LOG_NAME):
+                        child_process_log_exit = True
+                assert child_process_log_exit is True
             assert len(result_list) == nlines
             for i, line_result in enumerate(result_list):
                 assert isinstance(line_result, LineResult)
                 assert line_result.run_info.status == Status.Completed, f"{i}th line got {line_result.run_info.status}"
 
+    @pytest.mark.asyncio
     @pytest.mark.parametrize(
         "flow_folder",
         [
             SAMPLE_FLOW,
         ],
     )
-    def test_line_execution_not_completed(self, flow_folder, dev_connections):
+    async def test_line_execution_not_completed(self, flow_folder, dev_connections):
         executor = FlowExecutor.create(get_yaml_file(flow_folder), dev_connections)
         run_id = str(uuid.uuid4())
         bulk_inputs = get_bulk_inputs()
         nlines = len(bulk_inputs)
         with LineExecutionProcessPool(
-            executor,
-            nlines,
-            run_id,
             None,
+            executor,
+            nlines=nlines,
+            run_id=run_id,
             line_timeout_sec=1,
         ) as pool:
-            result_list = pool.run(zip(range(nlines), bulk_inputs))
-            result_list = sorted(result_list, key=lambda r: r.run_info.index)
+            result_list = await pool.run(zip(range(nlines), bulk_inputs))
         assert len(result_list) == nlines
         for i, line_result in enumerate(result_list):
             assert isinstance(line_result, LineResult)
@@ -290,13 +301,14 @@ def test_exec_line_failed_when_line_execution_not_start(self, flow_folder, dev_c
             assert line_result.run_info.error["code"] == "UserError"
             assert line_result.run_info.status == Status.Failed
 
+    @pytest.mark.asyncio
     @pytest.mark.parametrize(
         "flow_folder",
         [
             SAMPLE_FLOW,
         ],
     )
-    def test_process_pool_run_with_exception(self, flow_folder, dev_connections, mocker: MockFixture):
+    async def test_process_pool_run_with_exception(self, flow_folder, dev_connections, mocker: MockFixture):
         # mock process pool run execution raise error
         test_error_msg = "Test user error"
         mocker.patch(
@@ -309,13 +321,13 @@ def test_process_pool_run_with_exception(self, flow_folder, dev_connections, moc
         bulk_inputs = get_bulk_inputs()
         nlines = len(bulk_inputs)
         with LineExecutionProcessPool(
-            executor,
-            nlines,
-            run_id,
             None,
+            executor,
+            nlines=nlines,
+            run_id=run_id,
         ) as pool:
             with pytest.raises(UserErrorException) as e:
-                pool.run(zip(range(nlines), bulk_inputs))
+                await pool.run(zip(range(nlines), bulk_inputs))
             assert e.value.message == test_error_msg
             assert e.value.target == ErrorTarget.AZURE_RUN_STORAGE
             assert e.value.error_codes[0] == "UserError"
@@ -405,6 +417,7 @@ def test_process_not_set_environment_variable(self, dev_connections):
         assert p.exitcode == 0
 
     @pytest.mark.skipif(sys.platform == "win32" or sys.platform == "darwin", reason="Only test on linux")
+    @pytest.mark.asyncio
     @pytest.mark.parametrize(
         "flow_folder",
         [
@@ -415,7 +428,7 @@ def test_process_not_set_environment_variable(self, dev_connections):
         "promptflow.executor._process_manager.create_spawned_fork_process_manager",
         custom_create_spawned_fork_process_manager,
     )
-    def test_spawned_fork_process_manager_crashed_in_fork_mode(self, flow_folder, dev_connections):
+    async def test_spawned_fork_process_manager_crashed_in_fork_mode(self, flow_folder, dev_connections):
         executor = FlowExecutor.create(get_yaml_file(flow_folder), dev_connections)
         run_id = str(uuid.uuid4())
         bulk_inputs = get_bulk_inputs()
@@ -423,48 +436,15 @@ def test_spawned_fork_process_manager_crashed_in_fork_mode(self, flow_folder, de
         run_id = run_id or str(uuid.uuid4())
         with pytest.raises(SpawnedForkProcessManagerStartFailure) as e:
             with LineExecutionProcessPool(
-                executor,
-                nlines,
-                run_id,
                 None,
+                executor,
+                nlines=nlines,
+                run_id=run_id,
             ) as pool:
-                pool.run(zip(range(nlines), bulk_inputs))
+                await pool.run(zip(range(nlines), bulk_inputs))
         assert "Failed to start spawned fork process manager" in str(e.value)
 
 
-class TestGetAvailableMaxWorkerCount:
-    @pytest.mark.parametrize(
-        "available_memory, process_memory, expected_max_worker_count, actual_calculate_worker_count",
-        [
-            (128.0, 64.0, 2, 2),  # available_memory/process_memory > 1
-            (63.0, 64.0, 1, 0),  # available_memory/process_memory < 1
-        ],
-    )
-    def test_get_available_max_worker_count(
-        self, available_memory, process_memory, expected_max_worker_count, actual_calculate_worker_count
-    ):
-        with patch("psutil.virtual_memory") as mock_mem:
-            mock_mem.return_value.available = available_memory * 1024 * 1024
-            with patch("psutil.Process") as mock_process:
-                mock_process.return_value.memory_info.return_value.rss = process_memory * 1024 * 1024
-                with patch("promptflow.executor._line_execution_process_pool.bulk_logger") as mock_logger:
-                    mock_logger.warning.return_value = None
-                    estimated_available_worker_count = get_available_max_worker_count()
-                    assert estimated_available_worker_count == expected_max_worker_count
-                    if actual_calculate_worker_count < 1:
-                        mock_logger.warning.assert_called_with(
-                            f"Current system's available memory is {available_memory}MB, less than the memory "
-                            f"{process_memory}MB required by the process. The maximum available worker count is 1."
-                        )
-                    else:
-                        mock_logger.info.assert_called_with(
-                            f"Current system's available memory is {available_memory}MB, "
-                            f"memory consumption of current process is {process_memory}MB, "
-                            f"estimated available worker count is {available_memory}/{process_memory} "
-                            f"= {actual_calculate_worker_count}"
-                        )
-
-
 @pytest.mark.unittest
 class TestFormatCurrentProcess:
     def test_format_current_process_info(self):
diff --git a/src/promptflow/tests/executor/unittests/executor/test_tool_resolver.py b/src/promptflow/tests/executor/unittests/executor/test_tool_resolver.py
index ad3ced07ea6..f0d3f38952b 100644
--- a/src/promptflow/tests/executor/unittests/executor/test_tool_resolver.py
+++ b/src/promptflow/tests/executor/unittests/executor/test_tool_resolver.py
@@ -10,7 +10,7 @@
 from promptflow._core._errors import InvalidSource
 from promptflow._core.tools_manager import ToolLoader
 from promptflow._internal import tool
-from promptflow._sdk.entities import CustomConnection, CustomStrongTypeConnection
+from promptflow.connections import CustomConnection, CustomStrongTypeConnection
 from promptflow.connections import AzureOpenAIConnection
 from promptflow.contracts.flow import InputAssignment, InputValueType, Node, ToolSource, ToolSourceType
 from promptflow.contracts.tool import AssistantDefinition, InputDefinition, Secret, Tool, ToolType, ValueType
@@ -509,7 +509,7 @@ def test_convert_to_custom_strong_type_connection_value(self, conn_types: List[s
         m = sys.modules[__name__]
         v = InputAssignment(value="conn_name", value_type=InputValueType.LITERAL)
         actual = tool_resolver._convert_to_custom_strong_type_connection_value(
-            "conn_name", v, node, tool, conn_types, m
+            "conn_name", v, node.name, node.source, tool, conn_types, m
         )
         assert isinstance(actual, expected_type)
         assert actual.api_base == "mock"
@@ -553,7 +553,7 @@ def test_load_tools(self, predefined_inputs):
             {
                 "type": "function",
                 "tool_type": "python",
-                "source": {"type": "code", "path": "test_assistant_tool_invoker.py"},
+                "source": {"type": "code", "path": "assistant_sample_tool.py"},
                 "predefined_inputs": predefined_inputs,
             },
         ]
@@ -565,7 +565,7 @@ def test_load_tools(self, predefined_inputs):
         # Test load tools
         connections = {"conn_name": {"type": "AzureOpenAIConnection", "value": {"api_key": "mock", "api_base": "mock"}}}
         tool_resolver = ToolResolver(working_dir=Path(__file__).parent, connections=connections)
-        tool_resolver._resolve_assistant_tool(assistant_definitions)
+        tool_resolver._resolve_assistant_tools("node_name", assistant_definitions)
         invoker = assistant_definitions._tool_invoker
         assert len(invoker._assistant_tools) == len(assistant_definitions.tools) == len(tool_definitions)
         for tool_name, assistant_tool in invoker._assistant_tools.items():
diff --git a/src/promptflow/tests/executor/unittests/storage/test_local_storage_operations.py b/src/promptflow/tests/executor/unittests/storage/test_local_storage_operations.py
index eb72bcc3723..6d7751b3fb2 100644
--- a/src/promptflow/tests/executor/unittests/storage/test_local_storage_operations.py
+++ b/src/promptflow/tests/executor/unittests/storage/test_local_storage_operations.py
@@ -7,7 +7,7 @@
 
 from promptflow._sdk.entities._run import Run
 from promptflow._sdk.operations._local_storage_operations import LocalStorageOperations
-from promptflow._utils.multimedia_utils import create_image
+from promptflow._utils.multimedia_utils import BasicMultimediaProcessor
 from promptflow.contracts.multimedia import Image
 from promptflow.contracts.run_info import FlowRunInfo, RunInfo, Status
 
@@ -39,8 +39,8 @@ def node_run_info():
         flow_run_id="flow_run_id",
         run_id="run_id",
         status=Status.Completed,
-        inputs={"image1": create_image({"data:image/png;base64": "R0lGODlhAQABAAAAACw="})},
-        output={"output1": create_image({"data:image/png;base64": "R0lGODlhAQABAAAAACw="})},
+        inputs={"image1": BasicMultimediaProcessor().create_image({"data:image/png;base64": "R0lGODlhAQABAAAAACw="})},
+        output={"output1": BasicMultimediaProcessor().create_image({"data:image/png;base64": "R0lGODlhAQABAAAAACw="})},
         metrics={},
         error={},
         parent_run_id="parent_run_id",
@@ -56,8 +56,8 @@ def flow_run_info():
         run_id="run_id",
         status=Status.Completed,
         error=None,
-        inputs={"image1": create_image({"data:image/png;base64": "R0lGODlhAQABAAAAACw="})},
-        output={"output1": create_image({"data:image/png;base64": "R0lGODlhAQABAAAAACw="})},
+        inputs={"image1": BasicMultimediaProcessor().create_image({"data:image/png;base64": "R0lGODlhAQABAAAAACw="})},
+        output={"output1": BasicMultimediaProcessor().create_image({"data:image/png;base64": "R0lGODlhAQABAAAAACw="})},
         metrics={},
         request="request",
         parent_run_id="parent_run_id",
diff --git a/src/promptflow/tests/executor/unittests/storage/test_queue_run_storage.py b/src/promptflow/tests/executor/unittests/storage/test_queue_run_storage.py
index 5ca66a5e62d..17a0ef4bddc 100644
--- a/src/promptflow/tests/executor/unittests/storage/test_queue_run_storage.py
+++ b/src/promptflow/tests/executor/unittests/storage/test_queue_run_storage.py
@@ -25,7 +25,6 @@ def test_persist_node_run(self):
             end_time="end_time",
             index="index",
             api_calls="api_calls",
-            variant_id="variant_id",
             cached_run_id="cached_run_id",
             cached_flow_run_id="cached_flow_run_id",
             logs="logs",
@@ -54,7 +53,6 @@ def test_persist_flow_run(self):
             end_time="end_time",
             index="index",
             api_calls="api_calls",
-            variant_id="variant_id",
             system_metrics="system_metrics",
             result="result",
         )
diff --git a/src/promptflow/tests/executor/unittests/storage/test_run_records.py b/src/promptflow/tests/executor/unittests/storage/test_run_records.py
index cd299b9ec44..fc99d7e6cdd 100644
--- a/src/promptflow/tests/executor/unittests/storage/test_run_records.py
+++ b/src/promptflow/tests/executor/unittests/storage/test_run_records.py
@@ -3,9 +3,9 @@
 
 import pytest
 
-from promptflow._utils.dataclass_serializer import serialize
 from promptflow.contracts.run_info import FlowRunInfo, RunInfo, Status
 from promptflow.storage.run_records import LineRunRecord, NodeRunRecord
+from promptflow.tracing._utils import serialize
 
 
 @pytest.mark.unittest
@@ -27,7 +27,6 @@ def test_line_record():
         start_time=start_time,
         end_time=end_time,
         index=0,
-        variant_id=None,
     )
     line_record = LineRunRecord.from_run_info(flow_run_info)
     assert line_record.line_number == 0
@@ -56,7 +55,6 @@ def test_line_serialize():
         start_time=start_time,
         end_time=end_time,
         index=0,
-        variant_id=None,
     )
     line_record = LineRunRecord.from_run_info(flow_run_info)
     result = line_record.serialize()
diff --git a/src/promptflow/tests/executor/utils.py b/src/promptflow/tests/executor/utils.py
index 1d471419aa8..99b1ff9fb1d 100644
--- a/src/promptflow/tests/executor/utils.py
+++ b/src/promptflow/tests/executor/utils.py
@@ -10,6 +10,7 @@
 from opentelemetry.sdk.trace.export.in_memory_span_exporter import InMemorySpanExporter
 
 from promptflow._utils.yaml_utils import load_yaml
+from promptflow.batch import BatchEngine
 from promptflow.contracts.flow import Flow
 from promptflow.contracts.run_info import FlowRunInfo
 from promptflow.contracts.run_info import RunInfo as NodeRunInfo
@@ -136,6 +137,33 @@ def construct_flow_execution_request_json(flow_folder, root=FLOW_ROOT, inputs=No
     }
 
 
+def submit_batch_run(
+    flow_folder,
+    inputs_mapping,
+    *,
+    input_dirs={},
+    input_file_name="samples.json",
+    run_id=None,
+    connections={},
+    storage=None,
+    return_output_dir=False,
+):
+    batch_engine = BatchEngine(
+        get_yaml_file(flow_folder), get_flow_folder(flow_folder), connections=connections, storage=storage
+    )
+    if not input_dirs and inputs_mapping:
+        input_dirs = {"data": get_flow_inputs_file(flow_folder, file_name=input_file_name)}
+    output_dir = Path(mkdtemp())
+    if return_output_dir:
+        return batch_engine.run(input_dirs, inputs_mapping, output_dir, run_id=run_id), output_dir
+    return batch_engine.run(input_dirs, inputs_mapping, output_dir, run_id=run_id)
+
+
+def get_batch_inputs_line(flow_folder, sample_inputs_file="samples.json"):
+    inputs = get_flow_sample_inputs(flow_folder, sample_inputs_file=sample_inputs_file)
+    return len(inputs)
+
+
 class MemoryRunStorage(AbstractRunStorage):
     def __init__(self):
         self._node_runs: Dict[str, NodeRunInfo] = {}
diff --git a/src/promptflow/tests/sdk_cli_azure_test/conftest.py b/src/promptflow/tests/sdk_cli_azure_test/conftest.py
index cf96549be84..4db847fe5d9 100644
--- a/src/promptflow/tests/sdk_cli_azure_test/conftest.py
+++ b/src/promptflow/tests/sdk_cli_azure_test/conftest.py
@@ -7,32 +7,44 @@
 import uuid
 from concurrent.futures import ThreadPoolExecutor
 from pathlib import Path
-from typing import Callable, Optional
+from typing import Callable
 from unittest.mock import patch
 
 import jwt
 import pytest
+from _constants import (
+    DEFAULT_COMPUTE_INSTANCE_NAME,
+    DEFAULT_REGISTRY_NAME,
+    DEFAULT_RESOURCE_GROUP_NAME,
+    DEFAULT_RUNTIME_NAME,
+    DEFAULT_SUBSCRIPTION_ID,
+    DEFAULT_WORKSPACE_NAME,
+)
 from azure.core.exceptions import ResourceNotFoundError
 from mock import mock
 from pytest_mock import MockerFixture
 
 from promptflow._sdk._constants import FlowType, RunStatus
-from promptflow._sdk._utils import ClientUserAgentUtil
 from promptflow._sdk.entities import Run
+from promptflow._utils.user_agent_utils import ClientUserAgentUtil
 from promptflow.azure import PFClient
 from promptflow.azure._entities._flow import Flow
 
+try:
+    from promptflow.recording.record_mode import is_live, is_record, is_replay
+except ImportError:
+
+    def is_live():
+        return False
+
+    def is_record():
+        return False
+
+    def is_replay():
+        return False
+
+
 from ._azure_utils import get_cred
-from .recording_utilities import (
-    PFAzureIntegrationTestRecording,
-    SanitizedValues,
-    VariableRecorder,
-    get_created_flow_name_from_flow_path,
-    get_pf_client_for_replay,
-    is_live,
-    is_record,
-    is_replay,
-)
 
 FLOWS_DIR = "./tests/test_configs/flows"
 EAGER_FLOWS_DIR = "./tests/test_configs/eager_flows"
@@ -41,6 +53,12 @@
 RESOURCE_ID_FORMAT = "/subscriptions/{}/resourceGroups/{}/providers/{}/workspaces/{}"
 
 
+def pytest_configure():
+    pytest.is_live = is_live()
+    pytest.is_record = is_record()
+    pytest.is_replay = is_replay()
+
+
 def package_scope_in_live_mode() -> str:
     """Determine the scope of some expected sharing fixtures.
 
@@ -56,9 +74,60 @@ def package_scope_in_live_mode() -> str:
     return "package" if is_live() else "function"
 
 
+# region pfazure constants
+@pytest.fixture(scope="session")
+def subscription_id() -> str:
+    if is_replay():
+        from promptflow.recording.azure import SanitizedValues
+
+        return SanitizedValues.SUBSCRIPTION_ID
+    else:
+        return os.getenv("PROMPT_FLOW_SUBSCRIPTION_ID", DEFAULT_SUBSCRIPTION_ID)
+
+
+@pytest.fixture(scope="session")
+def resource_group_name() -> str:
+    if is_replay():
+        from promptflow.recording.azure import SanitizedValues
+
+        return SanitizedValues.RESOURCE_GROUP_NAME
+    else:
+        return os.getenv("PROMPT_FLOW_RESOURCE_GROUP_NAME", DEFAULT_RESOURCE_GROUP_NAME)
+
+
+@pytest.fixture(scope="session")
+def workspace_name() -> str:
+    if is_replay():
+        from promptflow.recording.azure import SanitizedValues
+
+        return SanitizedValues.WORKSPACE_NAME
+    else:
+        return os.getenv("PROMPT_FLOW_WORKSPACE_NAME", DEFAULT_WORKSPACE_NAME)
+
+
+@pytest.fixture(scope="session")
+def runtime_name() -> str:
+    return os.getenv("PROMPT_FLOW_RUNTIME_NAME", DEFAULT_RUNTIME_NAME)
+
+
+@pytest.fixture(scope="session")
+def registry_name() -> str:
+    return os.getenv("PROMPT_FLOW_REGISTRY_NAME", DEFAULT_REGISTRY_NAME)
+
+
+@pytest.fixture(scope="session")
+def compute_instance_name() -> str:
+    return os.getenv("PROMPT_FLOW_COMPUTE_INSTANCE_NAME", DEFAULT_COMPUTE_INSTANCE_NAME)
+
+
+# region
+
+
 @pytest.fixture(scope=package_scope_in_live_mode())
 def user_object_id() -> str:
-    if is_replay():
+    if pytest.is_replay:
+        from promptflow.recording.azure import SanitizedValues
+
         return SanitizedValues.USER_OBJECT_ID
     credential = get_cred()
     access_token = credential.get_token("https://management.azure.com/.default")
@@ -68,7 +137,9 @@ def user_object_id() -> str:
 
 @pytest.fixture(scope=package_scope_in_live_mode())
 def tenant_id() -> str:
-    if is_replay():
+    if pytest.is_replay:
+        from promptflow.recording.azure import SanitizedValues
+
         return SanitizedValues.TENANT_ID
     credential = get_cred()
     access_token = credential.get_token("https://management.azure.com/.default")
@@ -98,7 +169,9 @@ def ml_client(
 def remote_client(subscription_id: str, resource_group_name: str, workspace_name: str):
     from promptflow.azure import PFClient
 
-    if is_replay():
+    if pytest.is_replay:
+        from promptflow.recording.azure import get_pf_client_for_replay
+
         client = get_pf_client_for_replay()
     else:
         client = PFClient(
@@ -108,7 +181,7 @@ def remote_client(subscription_id: str, resource_group_name: str, workspace_name
             workspace_name=workspace_name,
         )
     assert "promptflow-sdk" in ClientUserAgentUtil.get_user_agent()
-    assert "promptflow/" not in ClientUserAgentUtil.get_user_agent()
+    assert "promptflow-test" not in ClientUserAgentUtil.get_user_agent()
     yield client
 
 
@@ -150,13 +223,13 @@ def runtime(runtime_name: str) -> str:
 
 @pytest.fixture
 def flow_serving_client_remote_connection(mocker: MockerFixture, remote_workspace_resource_id):
-    from promptflow._sdk._serving.app import create_app as create_serving_app
+    from promptflow.core._serving.app import create_app as create_serving_app
 
     model_path = (Path(MODEL_ROOT) / "basic-with-connection").resolve().absolute().as_posix()
     mocker.patch.dict(os.environ, {"PROMPTFLOW_PROJECT_PATH": model_path})
     mocker.patch.dict(os.environ, {"USER_AGENT": "test-user-agent"})
     app = create_serving_app(
-        config={"connection.provider": remote_workspace_resource_id},
+        connection_provider=remote_workspace_resource_id,
         environment_variables={"API_TYPE": "${azure_open_ai_connection.api_type}"},
     )
     app.config.update(
@@ -216,7 +289,7 @@ def serving_client_with_connection_data_override(mocker: MockerFixture, remote_w
 
 
 def create_serving_client_with_connections(model_name, mocker: MockerFixture, connections: dict = {}):
-    from promptflow._sdk._serving.app import create_app as create_serving_app
+    from promptflow.core._serving.app import create_app as create_serving_app
 
     model_path = (Path(MODEL_ROOT) / model_name).resolve().absolute().as_posix()
     mocker.patch.dict(os.environ, {"PROMPTFLOW_PROJECT_PATH": model_path})
@@ -228,7 +301,7 @@ def create_serving_client_with_connections(model_name, mocker: MockerFixture, co
     )
     # Set credential to None for azureml extension type
     # As we mock app in github workflow, which do not have managed identity credential
-    func = "promptflow._sdk._serving.extension.azureml_extension._get_managed_identity_credential_with_retry"
+    func = "promptflow.core._serving.extension.azureml_extension._get_managed_identity_credential_with_retry"
     with mock.patch(func) as mock_cred_func:
         mock_cred_func.return_value = None
         app = create_serving_app(
@@ -244,17 +317,19 @@ def create_serving_client_with_connections(model_name, mocker: MockerFixture, co
 
 
 @pytest.fixture(scope=package_scope_in_live_mode())
-def variable_recorder() -> VariableRecorder:
+def variable_recorder():
+    from promptflow.recording.azure import VariableRecorder
+
     yield VariableRecorder()
 
 
 @pytest.fixture(scope=package_scope_in_live_mode())
-def randstr(variable_recorder: VariableRecorder) -> Callable[[str], str]:
+def randstr(variable_recorder) -> Callable[[str], str]:
     """Return a "random" UUID."""
 
     def generate_random_string(variable_name: str) -> str:
         random_string = str(uuid.uuid4())
-        if is_live():
+        if pytest.is_live:
             return random_string
         elif is_replay():
             return variable_name
@@ -265,18 +340,16 @@ def generate_random_string(variable_name: str) -> str:
 
 
 @pytest.fixture(scope=package_scope_in_live_mode())
-def vcr_recording(
-    request: pytest.FixtureRequest, user_object_id: str, tenant_id: str, variable_recorder: VariableRecorder
-) -> Optional[PFAzureIntegrationTestRecording]:
+def vcr_recording(request: pytest.FixtureRequest, user_object_id: str, tenant_id: str, variable_recorder):
     """Fixture to record or replay network traffic.
 
     If the test mode is "live", nothing will happen.
     If the test mode is "record" or "replay", this fixture will locate a YAML (recording) file
     based on the test file, class and function name, write to (record) or read from (replay) the file.
     """
-    if is_live():
-        yield None
-    else:
+    if pytest.is_record or pytest.is_replay:
+        from promptflow.recording.azure import PFAzureIntegrationTestRecording
+
         recording = PFAzureIntegrationTestRecording.from_test_case(
             test_class=request.cls,
             test_func_name=request.node.name,
@@ -287,6 +360,8 @@ def vcr_recording(
         recording.enter_vcr()
         request.addfinalizer(recording.exit_vcr)
         yield recording
+    else:
+        yield None
 
 
 # we expect this fixture only work when running live test without recording
@@ -310,7 +385,7 @@ def single_worker_thread_pool() -> None:
     def single_worker_thread_pool_executor(*args, **kwargs):
         return ThreadPoolExecutor(max_workers=1)
 
-    if is_live():
+    if pytest.is_live:
         yield
     else:
         with patch(
@@ -327,7 +402,7 @@ def mock_set_headers_with_user_aml_token(mocker: MockerFixture) -> None:
     There will be requests fetching cloud metadata during retrieving AML token, which will break during replay.
     As the logic comes from azure-ai-ml, changes in Prompt Flow can hardly affect it, mock it here.
     """
-    if not is_live():
+    if not pytest.is_live:
         mocker.patch(
             "promptflow.azure._restclient.flow_service_caller.FlowServiceCaller._set_headers_with_user_aml_token"
         )
@@ -337,13 +412,13 @@ def mock_set_headers_with_user_aml_token(mocker: MockerFixture) -> None:
 @pytest.fixture
 def mock_get_azure_pf_client(mocker: MockerFixture, remote_client) -> None:
     """Mock PF Azure client to avoid network traffic during replay test."""
-    if not is_live():
+    if not pytest.is_live:
         mocker.patch(
-            "promptflow._cli._pf_azure._run._get_azure_pf_client",
+            "promptflow.azure._cli._run._get_azure_pf_client",
             return_value=remote_client,
         )
         mocker.patch(
-            "promptflow._cli._pf_azure._flow._get_azure_pf_client",
+            "promptflow.azure._cli._flow._get_azure_pf_client",
             return_value=remote_client,
         )
     yield
@@ -352,7 +427,7 @@ def mock_get_azure_pf_client(mocker: MockerFixture, remote_client) -> None:
 @pytest.fixture(scope=package_scope_in_live_mode())
 def mock_get_user_identity_info(user_object_id: str, tenant_id: str) -> None:
     """Mock get user object id and tenant id, currently used in flow list operation."""
-    if not is_live():
+    if not pytest.is_live:
         with patch(
             "promptflow.azure._restclient.flow_service_caller.FlowServiceCaller._get_user_identity_info",
             return_value=(user_object_id, tenant_id),
@@ -363,7 +438,7 @@ def mock_get_user_identity_info(user_object_id: str, tenant_id: str) -> None:
 
 
 @pytest.fixture(scope=package_scope_in_live_mode())
-def created_flow(pf: PFClient, randstr: Callable[[str], str], variable_recorder: VariableRecorder) -> Flow:
+def created_flow(pf: PFClient, randstr: Callable[[str], str], variable_recorder) -> Flow:
     """Create a flow for test."""
     flow_display_name = randstr("flow_display_name")
     flow_source = FLOWS_DIR + "/simple_hello_world/"
@@ -384,8 +459,10 @@ def created_flow(pf: PFClient, randstr: Callable[[str], str], variable_recorder:
     # flow in Azure will have different file share name with timestamp
     # and this is a client-side behavior, so we need to sanitize this in recording
     # so extract this during record test
-    if is_record():
+    if pytest.is_record:
         flow_name_const = "flow_name"
+        from promptflow.recording.azure import get_created_flow_name_from_flow_path
+
         flow_name = get_created_flow_name_from_flow_path(result.path)
         variable_recorder.get_or_record_variable(flow_name_const, flow_name)
 
@@ -504,12 +581,12 @@ def mock_isinstance_for_mock_datastore() -> None:
     We have an isinstance check during run download for datastore type for better error message;
     while our mock datastore in replay mode is not a valid type, so mock it with strict condition.
     """
-    if not is_replay():
+    if not pytest.is_replay:
         yield
     else:
         from azure.ai.ml.entities._datastore.azure_storage import AzureBlobDatastore
 
-        from .recording_utilities.utils import MockDatastore
+        from promptflow.recording.azure.utils import MockDatastore
 
         original_isinstance = isinstance
 
diff --git a/src/promptflow/tests/sdk_cli_azure_test/e2etests/test_arm_connection_operations.py b/src/promptflow/tests/sdk_cli_azure_test/e2etests/test_arm_connection_operations.py
index 02867d29f9c..d4f1dea9bec 100644
--- a/src/promptflow/tests/sdk_cli_azure_test/e2etests/test_arm_connection_operations.py
+++ b/src/promptflow/tests/sdk_cli_azure_test/e2etests/test_arm_connection_operations.py
@@ -19,21 +19,11 @@ class TestArmConnectionOperations:
     def test_get_connection(self, connection_ops):
         # Note: Secrets will be returned by arm api
         result = connection_ops.get(name="azure_open_ai_connection")
-        assert (
-            result._to_dict().items()
-            > {
-                "api_type": "azure",
-                "module": "promptflow.connections",
-                "name": "azure_open_ai_connection",
-            }.items()
-        )
+        assert result.name == "azure_open_ai_connection"
+        assert result.api_type == "azure"
+        assert result.module == "promptflow.connections"
 
         result = connection_ops.get(name="custom_connection")
-        assert (
-            result._to_dict().items()
-            > {
-                "name": "custom_connection",
-                "module": "promptflow.connections",
-                "configs": {},
-            }.items()
-        )
+        assert result.name == "custom_connection"
+        assert result.configs == {}
+        assert result.module == "promptflow.connections"
diff --git a/src/promptflow/tests/sdk_cli_azure_test/e2etests/test_azure_cli_perf.py b/src/promptflow/tests/sdk_cli_azure_test/e2etests/test_azure_cli_perf.py
index ec21e891463..2d247dec949 100644
--- a/src/promptflow/tests/sdk_cli_azure_test/e2etests/test_azure_cli_perf.py
+++ b/src/promptflow/tests/sdk_cli_azure_test/e2etests/test_azure_cli_perf.py
@@ -8,8 +8,7 @@
 
 from promptflow._cli._user_agent import USER_AGENT as CLI_USER_AGENT  # noqa: E402
 from promptflow._sdk._telemetry import log_activity
-from promptflow._sdk._utils import ClientUserAgentUtil
-from sdk_cli_azure_test.recording_utilities import is_replay
+from promptflow._utils.user_agent_utils import ClientUserAgentUtil
 
 FLOWS_DIR = "./tests/test_configs/flows"
 DATAS_DIR = "./tests/test_configs/datas"
@@ -34,7 +33,7 @@ def mock_log_activity(*args, **kwargs):
 
 
 def run_cli_command(cmd, time_limit=3600):
-    from promptflow._cli._pf_azure.entry import main
+    from promptflow.azure._cli.entry import main
 
     sys.argv = list(cmd)
     st = timeit.default_timer()
@@ -49,7 +48,7 @@ def run_cli_command(cmd, time_limit=3600):
     ed = timeit.default_timer()
 
     print(f"{cmd}, \nTotal time: {ed - st}s")
-    if is_replay():
+    if pytest.is_replay:
         assert ed - st < time_limit, f"The time limit is {time_limit}s, but it took {ed - st}s."
 
 
diff --git a/src/promptflow/tests/sdk_cli_azure_test/e2etests/test_cli.py b/src/promptflow/tests/sdk_cli_azure_test/e2etests/test_cli.py
index a23612fec85..f586e8a87c3 100644
--- a/src/promptflow/tests/sdk_cli_azure_test/e2etests/test_cli.py
+++ b/src/promptflow/tests/sdk_cli_azure_test/e2etests/test_cli.py
@@ -7,8 +7,6 @@
 
 from promptflow._cli._pf.entry import main
 
-from ..recording_utilities import is_live
-
 FLOWS_DIR = "./tests/test_configs/flows"
 RUNS_DIR = "./tests/test_configs/runs"
 CONNECTIONS_DIR = "./tests/test_configs/connections"
@@ -33,7 +31,7 @@ def run_pf_command(*args, cwd=None):
         os.chdir(origin_cwd)
 
 
-@pytest.mark.skipif(condition=not is_live(), reason="CLI tests, only run in live mode.")
+@pytest.mark.skipif(condition=not pytest.is_live, reason="CLI tests, only run in live mode.")
 @pytest.mark.cli_test
 @pytest.mark.e2etest
 class TestCli:
diff --git a/src/promptflow/tests/sdk_cli_azure_test/e2etests/test_cli_with_azure.py b/src/promptflow/tests/sdk_cli_azure_test/e2etests/test_cli_with_azure.py
index dc916064a4b..b86b002b72f 100644
--- a/src/promptflow/tests/sdk_cli_azure_test/e2etests/test_cli_with_azure.py
+++ b/src/promptflow/tests/sdk_cli_azure_test/e2etests/test_cli_with_azure.py
@@ -11,14 +11,13 @@
 from mock.mock import patch
 
 from promptflow._constants import PF_USER_AGENT
-from promptflow._core.operation_context import OperationContext
-from promptflow._sdk._utils import ClientUserAgentUtil
 from promptflow._sdk.entities import Run
+from promptflow._utils.user_agent_utils import ClientUserAgentUtil
 from promptflow._utils.utils import environment_variable_overwrite, parse_ua_to_dict
 from promptflow.azure import PFClient
+from promptflow.tracing._operation_context import OperationContext
 
 from .._azure_utils import DEFAULT_TEST_TIMEOUT, PYTEST_TIMEOUT_METHOD
-from ..recording_utilities import is_live
 
 FLOWS_DIR = "./tests/test_configs/flows"
 DATAS_DIR = "./tests/test_configs/datas"
@@ -27,7 +26,7 @@
 
 # TODO: move this to a shared utility module
 def run_pf_command(*args, pf, runtime=None, cwd=None):
-    from promptflow._cli._pf_azure.entry import main
+    from promptflow.azure._cli.entry import main
 
     origin_argv, origin_cwd = sys.argv, os.path.abspath(os.curdir)
     try:
@@ -153,7 +152,7 @@ def test_run_file_with_set(self, pf, runtime: str, randstr: Callable[[str], str]
         assert isinstance(run, Run)
         assert run.properties["azureml.promptflow.runtime_name"] == runtime
 
-    @pytest.mark.skipif(condition=not is_live(), reason="This test requires an actual PFClient")
+    @pytest.mark.skipif(condition=not pytest.is_live, reason="This test requires an actual PFClient")
     def test_azure_cli_ua(self, pf: PFClient):
         # clear user agent before test
         context = OperationContext().get_instance()
diff --git a/src/promptflow/tests/sdk_cli_azure_test/e2etests/test_flow_in_azure_ml.py b/src/promptflow/tests/sdk_cli_azure_test/e2etests/test_flow_in_azure_ml.py
index 06169137dff..1267edae5a9 100644
--- a/src/promptflow/tests/sdk_cli_azure_test/e2etests/test_flow_in_azure_ml.py
+++ b/src/promptflow/tests/sdk_cli_azure_test/e2etests/test_flow_in_azure_ml.py
@@ -8,7 +8,6 @@
 from promptflow.connections import AzureOpenAIConnection
 
 from .._azure_utils import DEFAULT_TEST_TIMEOUT, PYTEST_TIMEOUT_METHOD
-from ..recording_utilities import is_live
 
 PROMOTFLOW_ROOT = Path(__file__) / "../../../.."
 
@@ -64,7 +63,7 @@ def update_saved_spec(component, saved_spec_path: str):
 
 
 @pytest.mark.skipif(
-    condition=not is_live(),
+    condition=not pytest.is_live,
     reason="flow in pipeline tests require secrets config file, only run in live mode.",
 )
 @pytest.mark.usefixtures("use_secrets_config_file")
diff --git a/src/promptflow/tests/sdk_cli_azure_test/e2etests/test_flow_operations.py b/src/promptflow/tests/sdk_cli_azure_test/e2etests/test_flow_operations.py
index 3f658ce766f..103c74b318d 100644
--- a/src/promptflow/tests/sdk_cli_azure_test/e2etests/test_flow_operations.py
+++ b/src/promptflow/tests/sdk_cli_azure_test/e2etests/test_flow_operations.py
@@ -10,7 +10,6 @@
 from promptflow.exceptions import UserErrorException
 
 from .._azure_utils import DEFAULT_TEST_TIMEOUT, PYTEST_TIMEOUT_METHOD
-from ..recording_utilities import is_live
 
 tests_root_dir = Path(__file__).parent.parent.parent
 flow_test_dir = tests_root_dir / "test_configs/flows"
@@ -58,7 +57,7 @@ def test_update_flow(self, pf, created_flow: Flow):
             pf.flows.create_or_update(updated_flow, display_name="A new test flow")
 
     @pytest.mark.skipif(
-        condition=not is_live(),
+        condition=not pytest.is_live,
         reason="Complicated test combining `pf flow test` and global config",
     )
     def test_flow_test_with_config(self, remote_workspace_resource_id):
diff --git a/src/promptflow/tests/sdk_cli_azure_test/e2etests/test_flow_serve.py b/src/promptflow/tests/sdk_cli_azure_test/e2etests/test_flow_serve.py
index 5f4cf6c46b5..68dce98d2b5 100644
--- a/src/promptflow/tests/sdk_cli_azure_test/e2etests/test_flow_serve.py
+++ b/src/promptflow/tests/sdk_cli_azure_test/e2etests/test_flow_serve.py
@@ -2,9 +2,6 @@
 
 import pytest
 
-from ..recording_utilities import is_live
-
-
 testdata = """The event sourcing pattern involves using an append-only store to record the full series
 of actions on that data. The Azure Cosmos DB change feed is a great choice as a central data store in
 event sourcing architectures in which all data ingestion is modeled as writes (no updates or deletes).
@@ -15,12 +12,14 @@
 change feed. You can even have multiple change feed consumers subscribe to the same container's change feed."""
 
 
-@pytest.mark.skipif(condition=not is_live(), reason="serving tests, only run in live mode.")
+@pytest.mark.skipif(
+    condition=not pytest.is_live, reason="serving tests, only run in live mode as replay do not have az login."
+)
 @pytest.mark.usefixtures("flow_serving_client_remote_connection")
 @pytest.mark.e2etest
 def test_local_serving_api_with_remote_connection(flow_serving_client_remote_connection):
     response = flow_serving_client_remote_connection.get("/health")
-    assert b'{"status":"Healthy","version":"0.0.1"}' in response.data
+    assert b"Healthy" in response.data
     response = flow_serving_client_remote_connection.post("/score", data=json.dumps({"text": "hi"}))
     assert (
         response.status_code == 200
@@ -28,12 +27,12 @@ def test_local_serving_api_with_remote_connection(flow_serving_client_remote_con
     assert "output_prompt" in json.loads(response.data.decode())
 
 
-@pytest.mark.skipif(condition=not is_live(), reason="serving tests, only run in live mode.")
+@pytest.mark.skipif(condition=not pytest.is_live, reason="serving tests, only run in live mode.")
 @pytest.mark.usefixtures("flow_serving_client_with_prt_config_env")
 @pytest.mark.e2etest
 def test_azureml_serving_api_with_prt_config_env(flow_serving_client_with_prt_config_env):
     response = flow_serving_client_with_prt_config_env.get("/health")
-    assert b'{"status":"Healthy","version":"0.0.1"}' in response.data
+    assert b"Healthy" in response.data
     response = flow_serving_client_with_prt_config_env.post("/score", data=json.dumps({"text": "hi"}))
     assert (
         response.status_code == 200
@@ -43,12 +42,12 @@ def test_azureml_serving_api_with_prt_config_env(flow_serving_client_with_prt_co
     assert b"Welcome to promptflow app" in response.data
 
 
-@pytest.mark.skipif(condition=not is_live(), reason="serving tests, only run in live mode.")
+@pytest.mark.skipif(condition=not pytest.is_live, reason="serving tests, only run in live mode.")
 @pytest.mark.usefixtures("flow_serving_client_with_connection_provider_env")
 @pytest.mark.e2etest
 def test_azureml_serving_api_with_conn_provider_env(flow_serving_client_with_connection_provider_env):
     response = flow_serving_client_with_connection_provider_env.get("/health")
-    assert b'{"status":"Healthy","version":"0.0.1"}' in response.data
+    assert b"Healthy" in response.data
     response = flow_serving_client_with_connection_provider_env.post("/score", data=json.dumps({"text": "hi"}))
     assert (
         response.status_code == 200
@@ -58,12 +57,12 @@ def test_azureml_serving_api_with_conn_provider_env(flow_serving_client_with_con
     assert b"Welcome to promptflow app" in response.data
 
 
-@pytest.mark.skipif(condition=not is_live(), reason="serving tests, only run in live mode.")
+@pytest.mark.skipif(condition=not pytest.is_live, reason="serving tests, only run in live mode.")
 @pytest.mark.usefixtures("flow_serving_client_with_connection_provider_env")
 @pytest.mark.e2etest
 def test_azureml_serving_api_with_aml_resource_id_env(flow_serving_client_with_aml_resource_id_env):
     response = flow_serving_client_with_aml_resource_id_env.get("/health")
-    assert b'{"status":"Healthy","version":"0.0.1"}' in response.data
+    assert b"Healthy" in response.data
     response = flow_serving_client_with_aml_resource_id_env.post("/score", data=json.dumps({"text": "hi"}))
     assert (
         response.status_code == 200
@@ -71,12 +70,12 @@ def test_azureml_serving_api_with_aml_resource_id_env(flow_serving_client_with_a
     assert "output_prompt" in json.loads(response.data.decode())
 
 
-@pytest.mark.skipif(condition=not is_live(), reason="serving tests, only run in live mode.")
+@pytest.mark.skipif(condition=not pytest.is_live, reason="serving tests, only run in live mode.")
 @pytest.mark.usefixtures("serving_client_with_connection_name_override")
 @pytest.mark.e2etest
 def test_azureml_serving_api_with_connection_name_override(serving_client_with_connection_name_override):
     response = serving_client_with_connection_name_override.get("/health")
-    assert b'{"status":"Healthy","version":"0.0.1"}' in response.data
+    assert b"Healthy" in response.data
 
     response = serving_client_with_connection_name_override.post("/score", data=json.dumps({"text": testdata}))
     assert (
@@ -89,7 +88,7 @@ def test_azureml_serving_api_with_connection_name_override(serving_client_with_c
 @pytest.mark.e2etest
 def test_azureml_serving_api_with_connection_data_override(serving_client_with_connection_data_override):
     response = serving_client_with_connection_data_override.get("/health")
-    assert b'{"status":"Healthy","version":"0.0.1"}' in response.data
+    assert b"Healthy" in response.data
 
     response = serving_client_with_connection_data_override.post("/score", data=json.dumps({"text": "hi"}))
     assert (
diff --git a/src/promptflow/tests/sdk_cli_azure_test/e2etests/test_run_operations.py b/src/promptflow/tests/sdk_cli_azure_test/e2etests/test_run_operations.py
index f45c20e6719..1c83b941083 100644
--- a/src/promptflow/tests/sdk_cli_azure_test/e2etests/test_run_operations.py
+++ b/src/promptflow/tests/sdk_cli_azure_test/e2etests/test_run_operations.py
@@ -19,7 +19,7 @@
 from azure.ai.ml import ManagedIdentityConfiguration
 from azure.ai.ml.entities import IdentityConfiguration
 
-from promptflow._sdk._constants import DownloadedRun, RunStatus
+from promptflow._sdk._constants import DAG_FILE_NAME, DownloadedRun, RunStatus
 from promptflow._sdk._errors import InvalidRunError, InvalidRunStatusError, RunNotFoundError
 from promptflow._sdk._load_functions import load_run
 from promptflow._sdk.entities import Run
@@ -37,7 +37,6 @@
 from promptflow.exceptions import UserErrorException
 
 from .._azure_utils import DEFAULT_TEST_TIMEOUT, PYTEST_TIMEOUT_METHOD
-from ..recording_utilities import is_live
 
 PROMOTFLOW_ROOT = Path(__file__) / "../../../.."
 
@@ -101,7 +100,8 @@ def test_run_resume(self, pf: PFClient, randstr: Callable[[str], str]):
         run2 = pf.run(resume_from=run, name=name2)
         assert isinstance(run2, Run)
         # Enable name assert after PFS released
-        # assert run2.name == name2
+        assert run2.name == name2
+        assert run2._resume_from == run.name
 
     def test_run_bulk_from_yaml(self, pf, runtime: str, randstr: Callable[[str], str]):
         run_id = randstr("run_id")
@@ -388,7 +388,7 @@ def test_failed_run_to_dict_exclude(self, pf: PFClient, created_failed_run: Run)
         assert "debugInfo" in default["error"]["error"] and "debugInfo" not in exclude["error"]["error"]
 
     @pytest.mark.skipif(
-        condition=not is_live(),
+        condition=not pytest.is_live,
         reason="cannot differ the two requests to run history in replay mode.",
     )
     def test_archive_and_restore_run(self, pf: PFClient, created_batch_run_without_llm: Run):
@@ -459,7 +459,7 @@ def test_cancel_run(self, pf, runtime: str, randstr: Callable[[str], str]):
         assert run.status in [RunStatus.CANCELED, RunStatus.CANCEL_REQUESTED]
 
     @pytest.mark.skipif(
-        condition=not is_live(), reason="request uri contains temp folder name, need some time to sanitize."
+        condition=not pytest.is_live, reason="request uri contains temp folder name, need some time to sanitize."
     )
     def test_run_with_additional_includes(self, pf, runtime: str, randstr: Callable[[str], str]):
         run = pf.run(
@@ -1207,7 +1207,8 @@ def test_automatic_runtime_with_managed_identity(self, pf, randstr: Callable[[st
                 user_assigned_identities=[
                     ManagedIdentityConfiguration(client_id="fake_client_id", resource_id="fake_resource_id")
                 ],
-            )
+            ),
+            _kind="default",  # make the mocked workspace pass the datastore check
         )
 
         def submit(*args, **kwargs):
@@ -1226,3 +1227,26 @@ def submit(*args, **kwargs):
                     params_override=[{"name": run_id}],
                 )
                 pf.runs.create_or_update(run=run)
+
+    @pytest.mark.usefixtures("mock_isinstance_for_mock_datastore")
+    def test_eager_flow_run_without_yaml(self, pf: PFClient, randstr: Callable[[str], str]):
+        run = pf.run(
+            flow="entry:my_flow",
+            code=f"{EAGER_FLOWS_DIR}/simple_without_yaml",
+            data=f"{DATAS_DIR}/simple_eager_flow_data.jsonl",
+            name=randstr("name"),
+        )
+        run = pf.runs.stream(run)
+        assert run.status == RunStatus.COMPLETED
+
+        # test YAML is generated
+        expected_files = [
+            f"{DownloadedRun.SNAPSHOT_FOLDER}/{DAG_FILE_NAME}",
+        ]
+        with TemporaryDirectory() as tmp_dir:
+            pf.runs.download(run=run.name, output=tmp_dir)
+            for file in expected_files:
+                assert Path(tmp_dir, run.name, file).exists()
+
+        # the YAML file will not exist in user's folder
+        assert not Path(f"{EAGER_FLOWS_DIR}/simple_without_yaml/flow.dag.yaml").exists()
diff --git a/src/promptflow/tests/sdk_cli_azure_test/e2etests/test_telemetry.py b/src/promptflow/tests/sdk_cli_azure_test/e2etests/test_telemetry.py
index 82a0cf79aba..393c3923c0c 100644
--- a/src/promptflow/tests/sdk_cli_azure_test/e2etests/test_telemetry.py
+++ b/src/promptflow/tests/sdk_cli_azure_test/e2etests/test_telemetry.py
@@ -3,6 +3,7 @@
 # ---------------------------------------------------------
 import contextlib
 import os
+import platform
 import shutil
 import sys
 import tempfile
@@ -17,7 +18,6 @@
 
 from promptflow import load_run
 from promptflow._constants import PF_USER_AGENT
-from promptflow._core.operation_context import OperationContext
 from promptflow._sdk._configuration import Configuration
 from promptflow._sdk._errors import RunNotFoundError
 from promptflow._sdk._telemetry import (
@@ -29,8 +29,10 @@
     log_activity,
 )
 from promptflow._sdk._telemetry.logging_handler import get_promptflow_sdk_log_handler
-from promptflow._sdk._utils import ClientUserAgentUtil, call_from_extension
+from promptflow._sdk._utils import call_from_extension
+from promptflow._utils.user_agent_utils import ClientUserAgentUtil
 from promptflow._utils.utils import environment_variable_overwrite, parse_ua_to_dict
+from promptflow.tracing._operation_context import OperationContext
 
 from .._azure_utils import DEFAULT_TEST_TIMEOUT, PYTEST_TIMEOUT_METHOD
 
@@ -89,8 +91,6 @@ def test_logging_handler(self):
             assert handler._is_telemetry_enabled is False
 
     def test_call_from_extension(self):
-        from promptflow._core.operation_context import OperationContext
-
         assert call_from_extension() is False
         with environment_variable_overwrite(PF_USER_AGENT, "prompt-flow-extension/1.0.0"):
             assert call_from_extension() is True
@@ -99,19 +99,32 @@ def test_call_from_extension(self):
         context.user_agent = context.user_agent.replace("prompt-flow-extension/1.0.0", "")
 
     def test_custom_event(self, pf):
-        from promptflow._sdk._telemetry.logging_handler import PromptFlowSDKLogHandler
-
-        def log_event(*args, **kwargs):
-            record = args[0]
-            assert record.custom_dimensions is not None
+        from promptflow._sdk._configuration import Configuration
+        from promptflow._sdk._telemetry.logging_handler import PromptFlowSDKExporter
+
+        envelope = None
+        config = Configuration.get_instance()
+        custom_dimensions = {
+            "python_version": platform.python_version(),
+            "installation_id": config.get_or_set_installation_id(),
+        }
+        log_to_envelope = PromptFlowSDKExporter(
+            connection_string="InstrumentationKey=00000000-0000-0000-0000-000000000000",
+            custom_dimensions=custom_dimensions,
+        )._log_to_envelope
+
+        def log_event(log_data):
+            nonlocal envelope
+            envelope = log_to_envelope(log_data)
+
+        def check_evelope():
             logger = get_telemetry_logger()
             handler = logger.handlers[0]
             assert isinstance(handler, PromptFlowSDKLogHandler)
-            envelope = handler.log_record_to_envelope(record)
-            custom_dimensions = pydash.get(envelope, "data.baseData.properties")
+            custom_dimensions = pydash.get(envelope, "data.base_data.properties")
             assert isinstance(custom_dimensions, dict)
             # Note: need privacy review if we add new fields.
-            if "start" in record.message:
+            if "start" in envelope.data.base_data.name:
                 assert custom_dimensions.keys() == {
                     "request_id",
                     "activity_name",
@@ -125,8 +138,13 @@ def log_event(*args, **kwargs):
                     "installation_id",
                     "first_call",
                     "from_ci",
+                    "error_category",
+                    "error_type",
+                    "error_target",
+                    "error_message",
+                    "error_detail",
                 }
-            elif "complete" in record.message:
+            elif "complete" in envelope.data.base_data.name:
                 assert custom_dimensions.keys() == {
                     "request_id",
                     "activity_name",
@@ -142,18 +160,27 @@ def log_event(*args, **kwargs):
                     "installation_id",
                     "first_call",
                     "from_ci",
+                    "error_category",
+                    "error_type",
+                    "error_target",
+                    "error_message",
+                    "error_detail",
                 }
             else:
-                raise ValueError("Invalid message: {}".format(record.message))
-            assert record.message.startswith("pfazure.runs.get")
+                raise ValueError("Invalid message: {}".format(envelope.data.base_data.name))
+            assert envelope.data.base_data.name.startswith("pfazure.runs.get")
 
-        with patch.object(PromptFlowSDKLogHandler, "emit") as mock_logger:
+        with patch.object(PromptFlowSDKExporter, "_log_to_envelope") as mock_logger, patch(
+            "promptflow._sdk._telemetry.telemetry.get_telemetry_logger", side_effect=get_telemetry_logger
+        ):
             mock_logger.side_effect = log_event
-            # mock_error_logger.side_effect = log_event
             try:
                 pf.runs.get("not_exist")
             except RunNotFoundError:
                 pass
+            logger = get_telemetry_logger()
+            logger.handlers[0].flush()
+            check_evelope()
 
     def test_default_logging_behavior(self):
         assert is_telemetry_enabled() is True
@@ -298,6 +325,7 @@ def check_inner_call(*args, **kwargs):
             mock_logger.side_effect = check_inner_call
             run = load_run(
                 source=f"{RUNS_DIR}/run_with_env.yaml",
+                params_override=[{"environment_variables": {}}],
             )
             # create 2 times will get 2 request ids
             run.name = str(uuid.uuid4())
@@ -312,32 +340,38 @@ def check_inner_call(*args, **kwargs):
         assert first_sdk_calls[-1] is True
 
     def test_scrub_fields(self):
-        from promptflow import PFClient
+        from promptflow._sdk._telemetry.logging_handler import PromptFlowSDKExporter
 
-        pf = PFClient()
+        envelope = None
+        log_to_envelope = PromptFlowSDKExporter(
+            connection_string="InstrumentationKey=00000000-0000-0000-0000-000000000000", custom_dimensions={}
+        )._log_to_envelope
 
-        from promptflow._sdk._telemetry.logging_handler import PromptFlowSDKLogHandler
+        def log_event(log_data):
+            nonlocal envelope
+            envelope = log_to_envelope(log_data)
 
-        def log_event(*args, **kwargs):
-            record = args[0]
-            assert record.custom_dimensions is not None
+        def check_evelope():
             logger = get_telemetry_logger()
             handler = logger.handlers[0]
             assert isinstance(handler, PromptFlowSDKLogHandler)
-            envelope = handler.log_record_to_envelope(record)
+
+            assert "message" == envelope.data.base_data.name
+            assert "key" in envelope.data.base_data.properties
+            assert "test" == envelope.data.base_data.properties["key"]
+
             # device name removed
             assert "ai.cloud.roleInstance" not in envelope.tags
             assert "ai.device.id" not in envelope.tags
             # role name should be scrubbed or kept in whitelist
             assert envelope.tags["ai.cloud.role"] in [os.path.basename(sys.argv[0]), "***"]
 
-        with patch.object(PromptFlowSDKLogHandler, "emit") as mock_logger:
+        with patch.object(PromptFlowSDKExporter, "_log_to_envelope") as mock_logger:
             mock_logger.side_effect = log_event
-            # mock_error_logger.side_effect = log_event
-            try:
-                pf.runs.get("not_exist")
-            except RunNotFoundError:
-                pass
+            logger = get_telemetry_logger()
+            logger.info("message", extra={"custom_dimensions": {"key": "test"}})
+            logger.handlers[0].flush()
+            check_evelope()
 
     def test_different_event_for_node_run(self):
         from promptflow import PFClient
@@ -371,3 +405,57 @@ def assert_flow_test(*args, **kwargs):
                 mock_logger.side_effect = assert_flow_test
 
                 pf.flows.test(temp_dir, inputs={"key": "API_BASE"})
+
+    @pytest.mark.skipif(
+        condition=not pytest.is_live,
+        reason="Live mode can run successfully, but an error will be reported when recording.",
+    )
+    def test_run_yaml_type(self, pf, randstr: Callable[[str], str]):
+        from promptflow._constants import FlowType
+        from promptflow._sdk._configuration import Configuration
+        from promptflow._sdk._telemetry.logging_handler import PromptFlowSDKExporter
+
+        envelope = None
+        flow_type = None
+        config = Configuration.get_instance()
+        custom_dimensions = {
+            "python_version": platform.python_version(),
+            "installation_id": config.get_or_set_installation_id(),
+        }
+        log_to_envelope = PromptFlowSDKExporter(
+            connection_string="InstrumentationKey=00000000-0000-0000-0000-000000000000",
+            custom_dimensions=custom_dimensions,
+        )._log_to_envelope
+
+        def log_event(log_data):
+            nonlocal envelope
+            envelope = log_to_envelope(log_data)
+
+        def check_evelope():
+            assert envelope.data.base_data.name.startswith("pfazure.runs.create_or_update")
+            custom_dimensions = pydash.get(envelope, "data.base_data.properties")
+            assert isinstance(custom_dimensions, dict)
+            assert "flow_type" in custom_dimensions
+            assert custom_dimensions["flow_type"] == flow_type
+
+        with patch.object(PromptFlowSDKExporter, "_log_to_envelope", side_effect=log_event), patch(
+            "promptflow._sdk._telemetry.telemetry.get_telemetry_logger", side_effect=get_telemetry_logger
+        ):
+            flow_type = FlowType.DAG_FLOW
+            pf.run(
+                flow="./tests/test_configs/flows/print_input_flow",
+                data="./tests/test_configs/datas/print_input_flow.jsonl",
+                name=randstr("name"),
+            )
+            logger = get_telemetry_logger()
+            logger.handlers[0].flush()
+            check_evelope()
+
+            flow_type = FlowType.FLEX_FLOW
+            pf.run(
+                flow="./tests/test_configs/eager_flows/simple_with_req",
+                data="./tests/test_configs/datas/simple_eager_flow_data.jsonl",
+                name=randstr("name"),
+            )
+            logger.handlers[0].flush()
+            check_evelope()
diff --git a/src/promptflow/tests/sdk_cli_azure_test/unittests/test_arm_connection_build.py b/src/promptflow/tests/sdk_cli_azure_test/unittests/test_arm_connection_build.py
index f23062b460a..40ed94627a0 100644
--- a/src/promptflow/tests/sdk_cli_azure_test/unittests/test_arm_connection_build.py
+++ b/src/promptflow/tests/sdk_cli_azure_test/unittests/test_arm_connection_build.py
@@ -6,12 +6,12 @@
 
 
 def build_from_data_and_assert(data, expected):
-    from promptflow.azure._models._models import WorkspaceConnectionPropertiesV2BasicResource
-    from promptflow.azure.operations._arm_connection_operations import ArmConnectionOperations
+    from promptflow.core._connection_provider._models._models import WorkspaceConnectionPropertiesV2BasicResource
+    from promptflow.core._connection_provider._workspace_connection_provider import WorkspaceConnectionProvider
 
     data = copy.deepcopy(data)
     obj = WorkspaceConnectionPropertiesV2BasicResource.deserialize(data)
-    assert ArmConnectionOperations.build_connection_dict_from_rest_object("mock", obj) == expected
+    assert WorkspaceConnectionProvider.build_connection_dict_from_rest_object("mock", obj) == expected
 
 
 @pytest.mark.unittest
diff --git a/src/promptflow/tests/sdk_cli_azure_test/unittests/test_azure_cli_activity_name.py b/src/promptflow/tests/sdk_cli_azure_test/unittests/test_azure_cli_activity_name.py
index 9b9a7eb731f..3afcd87ef76 100644
--- a/src/promptflow/tests/sdk_cli_azure_test/unittests/test_azure_cli_activity_name.py
+++ b/src/promptflow/tests/sdk_cli_azure_test/unittests/test_azure_cli_activity_name.py
@@ -1,7 +1,7 @@
 import pytest
 
-from promptflow._cli._pf_azure.entry import get_parser_args
 from promptflow._cli._utils import _get_cli_activity_name
+from promptflow.azure._cli.entry import get_parser_args
 
 
 def get_cli_activity_name(cmd):
diff --git a/src/promptflow/tests/sdk_cli_azure_test/unittests/test_blob_client.py b/src/promptflow/tests/sdk_cli_azure_test/unittests/test_blob_client.py
new file mode 100644
index 00000000000..b727cf0893e
--- /dev/null
+++ b/src/promptflow/tests/sdk_cli_azure_test/unittests/test_blob_client.py
@@ -0,0 +1,24 @@
+import datetime
+
+import pytest
+
+from promptflow.azure._storage.blob.client import _datastore_cache, _get_datastore_client_key, _get_datastore_from_cache
+
+
+@pytest.mark.unittest
+class TestBlobClient:
+    def test_get_datastore_from_cache(self):
+        _datastore_cache["test"] = {
+            "expire_at": datetime.datetime.now() + datetime.timedelta(0, -1),  # already expire
+            "datastore": "test",
+        }
+        assert _get_datastore_from_cache("test") is None
+
+        _datastore_cache["test"] = {
+            "expire_at": datetime.datetime.now() + datetime.timedelta(1, 0),  # expire after 1 day
+            "datastore": "test",
+        }
+        assert _get_datastore_from_cache("test") == "test"
+
+    def test_get_datastore_client_key(self):
+        assert _get_datastore_client_key("sub", "rg", "ws") == "sub@rg@ws"
diff --git a/src/promptflow/tests/sdk_cli_azure_test/unittests/test_cli.py b/src/promptflow/tests/sdk_cli_azure_test/unittests/test_cli.py
index 3a2e2fdb11a..1763de37276 100644
--- a/src/promptflow/tests/sdk_cli_azure_test/unittests/test_cli.py
+++ b/src/promptflow/tests/sdk_cli_azure_test/unittests/test_cli.py
@@ -17,7 +17,7 @@
 
 
 def run_pf_command(*args, cwd=None):
-    from promptflow._cli._pf_azure.entry import main
+    from promptflow.azure._cli.entry import main
 
     origin_argv, origin_cwd = sys.argv, os.path.abspath(os.curdir)
     try:
diff --git a/src/promptflow/tests/sdk_cli_azure_test/unittests/test_collection.py b/src/promptflow/tests/sdk_cli_azure_test/unittests/test_collection.py
new file mode 100644
index 00000000000..90cfb883b13
--- /dev/null
+++ b/src/promptflow/tests/sdk_cli_azure_test/unittests/test_collection.py
@@ -0,0 +1,74 @@
+from unittest import mock
+
+import pytest
+
+from promptflow._sdk._constants import CreatedByFieldName
+from promptflow.azure._storage.cosmosdb.collection import CollectionCosmosDB
+
+
+@pytest.mark.unittest
+class TestCollectionCosmosDB:
+    @pytest.fixture(autouse=True)
+    def setUp(self):
+        self.span = mock.Mock()
+        self.span.attributes = dict()
+        self.span.resource = {
+            "attributes": {
+                "collection.id": "test_collection_id",
+                "collection": "test_collection_name",
+            }
+        }
+        self.created_by = {CreatedByFieldName.OBJECT_ID: "test_user_id"}
+        self.collection = CollectionCosmosDB(self.span, True, self.created_by)
+
+    def test_collection_properties_cloud(self):
+        collection = CollectionCosmosDB(self.span, True, self.created_by)
+        assert collection.collection_name == "test_collection_name"
+        assert collection.collection_id == "test_collection_id"
+        assert collection.location == 1
+
+        self.span.attributes = {"batch_run_id": "test_batch_run_id"}
+        collection = CollectionCosmosDB(self.span, True, self.created_by)
+        assert collection.collection_name == "test_collection_name"
+        assert collection.collection_id == "test_batch_run_id"
+        assert collection.location == 1
+
+    def test_collection_properties_local(self):
+        collection = CollectionCosmosDB(self.span, False, self.created_by)
+        assert collection.collection_name == "test_collection_name"
+        # For local, use collection name and user id to generate collection id
+        assert collection.collection_id == "test_collection_name_test_user_id"
+        assert collection.location == 0
+
+        self.span.attributes = {"batch_run_id": "test_batch_run_id"}
+        collection = CollectionCosmosDB(self.span, False, self.created_by)
+        assert collection.collection_name == "test_collection_name"
+        assert collection.collection_id == "test_batch_run_id"
+        assert collection.location == 0
+
+    def test_create_collection_if_not_exist(self):
+        client = mock.Mock()
+        with mock.patch("promptflow.azure._storage.cosmosdb.collection.safe_create_cosmosdb_item") as mock_safe_write:
+            self.collection.create_collection_if_not_exist(client)
+            mock_safe_write.assert_called_once()
+
+    def test_update_collection_updated_at(self):
+        client = mock.Mock()
+        self.span.attributes = dict()
+        self.span.resource = {"collection.id": "test_collection_id"}
+
+        self.collection.update_collection_updated_at_info(client)
+
+        client.patch_item.assert_called_once()
+
+    def test_batch_run_operation(self):
+        client = mock.Mock()
+        self.span.attributes = {"batch_run_id": "test_batch_run_id"}
+        self.span.resource = {"collection.id": "test_collection_id"}
+
+        with mock.patch("promptflow.azure._storage.cosmosdb.summary.safe_create_cosmosdb_item") as mock_safe_write:
+            self.collection.create_collection_if_not_exist(client)
+            mock_safe_write.assert_not_called()
+
+        self.collection.create_collection_if_not_exist(client)
+        client.patch_item.assert_not_called()
diff --git a/src/promptflow/tests/sdk_cli_azure_test/unittests/test_cosmosdb.py b/src/promptflow/tests/sdk_cli_azure_test/unittests/test_cosmosdb.py
index 7077c067bbc..c2501cdc4be 100644
--- a/src/promptflow/tests/sdk_cli_azure_test/unittests/test_cosmosdb.py
+++ b/src/promptflow/tests/sdk_cli_azure_test/unittests/test_cosmosdb.py
@@ -2,7 +2,12 @@
 
 import pytest
 
-from promptflow.azure._storage.cosmosdb.client import _get_client_from_map, _get_container_lock, client_map
+from promptflow.azure._storage.cosmosdb.client import (
+    _get_client_from_map,
+    _get_container_lock,
+    _get_db_client_key,
+    client_map,
+)
 
 
 @pytest.mark.unittest
@@ -25,3 +30,6 @@ def test_get_container_lock(self):
         assert container_lock is not None
         assert _get_container_lock("test2") != container_lock
         assert _get_container_lock("test") == container_lock
+
+    def test_get_db_client_key(self):
+        assert _get_db_client_key("container", "sub", "rg", "ws") == "sub@rg@ws@container"
diff --git a/src/promptflow/tests/sdk_cli_azure_test/unittests/test_cosmosdb_utils.py b/src/promptflow/tests/sdk_cli_azure_test/unittests/test_cosmosdb_utils.py
new file mode 100644
index 00000000000..45dca24f734
--- /dev/null
+++ b/src/promptflow/tests/sdk_cli_azure_test/unittests/test_cosmosdb_utils.py
@@ -0,0 +1,48 @@
+from dataclasses import dataclass
+from unittest import mock
+
+import pytest
+from azure.cosmos.exceptions import CosmosResourceExistsError, CosmosResourceNotFoundError
+
+from promptflow.azure._storage.cosmosdb.cosmosdb_utils import safe_create_cosmosdb_item
+
+
+@dataclass
+class Item:
+    id: str
+    partition_key: str
+
+
+@pytest.mark.unittest
+class TestCosmosDBUtils:
+    @pytest.fixture(autouse=True)
+    def setUp(self):
+        self.item = Item(id="id", partition_key="partition_key")
+
+    def test_safe_write_to_cosmosdb_normal(self):
+        client = mock.Mock()
+        client.read_item.side_effect = CosmosResourceNotFoundError
+
+        safe_create_cosmosdb_item(client, self.item)
+
+        client.read_item.assert_called_once_with(item=self.item.id, partition_key=self.item.partition_key)
+        client.create_item.assert_called_once()
+
+    def test_safe_write_to_cosmosdb_conflict(self):
+        client = mock.Mock()
+        client.read_item.side_effect = CosmosResourceNotFoundError
+        client.create_item.side_effect = CosmosResourceExistsError
+
+        safe_create_cosmosdb_item(client, self.item)
+
+        client.read_item.assert_called_once_with(item=self.item.id, partition_key=self.item.partition_key)
+        client.create_item.assert_called_once()
+
+    def test_safe_write_to_cosmosdb_already_exist(self):
+        client = mock.Mock()
+        client.read_item.return_value = self.item
+
+        safe_create_cosmosdb_item(client, self.item)
+
+        client.read_item.assert_called_once_with(item=self.item.id, partition_key=self.item.partition_key)
+        client.create_item.assert_not_called()
diff --git a/src/promptflow/tests/sdk_cli_azure_test/unittests/test_exceptions.py b/src/promptflow/tests/sdk_cli_azure_test/unittests/test_exceptions.py
index 4c43258b909..1ce7c1206e7 100644
--- a/src/promptflow/tests/sdk_cli_azure_test/unittests/test_exceptions.py
+++ b/src/promptflow/tests/sdk_cli_azure_test/unittests/test_exceptions.py
@@ -2,11 +2,13 @@
 # Copyright (c) Microsoft Corporation. All rights reserved.
 # ---------------------------------------------------------
 import re
+from pathlib import Path
 
 import pytest
 from azure.core.exceptions import HttpResponseError
+
 from promptflow._sdk._orm import RunInfo
-from promptflow.exceptions import _ErrorInfo, ErrorCategory, ErrorTarget, UserErrorException
+from promptflow.exceptions import ErrorCategory, ErrorTarget, UserErrorException, _ErrorInfo
 from promptflow.executor import FlowValidator
 from promptflow.executor._errors import InvalidNodeReference
 
@@ -238,3 +240,77 @@ def test_module_name_in_error_target_map(self):
         for module_name in module_target_map.keys():
             module = importlib.import_module(module_name)
             assert module.__name__ == module_name
+
+    def test_message_with_empty_privacy_info(self):
+        from promptflow._cli._utils import get_secret_input
+
+        ex = None
+        try:
+            get_secret_input(111)
+        except Exception as e:
+            ex = e
+        _, _, _, error_message, _ = _ErrorInfo.get_error_info(ex)
+        assert error_message == "prompt must be a str, not $int"
+
+        try:
+            get_secret_input("str", mask=11)
+        except Exception as e:
+            ex = e
+        _, _, _, error_message, _ = _ErrorInfo.get_error_info(ex)
+        assert error_message == "mask argument must be a one-character str, not $int"
+
+    def test_message_with_privacy_info_filter(self):
+        from promptflow._sdk._load_functions import _load_env_to_connection
+
+        ex = None
+        try:
+            _load_env_to_connection(source="./test/test", params_override=[])
+        except Exception as e:
+            ex = e
+        _, _, _, error_message, _ = _ErrorInfo.get_error_info(ex)
+        assert error_message == "Please specify --name when creating connection from .env."
+
+        try:
+            _load_env_to_connection(source="./test/test", params_override=[{"name": "test"}])
+        except Exception as e:
+            ex = e
+        _, _, _, error_message, _ = _ErrorInfo.get_error_info(ex)
+        assert error_message == "File '{privacy_info}' not found."
+
+    def test_message_with_privacy_info_filter2(self):
+        source = Path(__file__)
+        e = ValueError(
+            f"Load nothing from dotenv file {source.absolute().as_posix()!r}, "
+            f"or not find file {source.absolute().as_posix()}, "
+            "please make sure the file is not empty and readable."
+        )
+        ex = UserErrorException(str(e), error=e, privacy_info=[source.absolute().as_posix()])
+        _, _, _, error_message, _ = _ErrorInfo.get_error_info(ex)
+        assert error_message == (
+            "Load nothing from dotenv file '{privacy_info}', "
+            "or not find file {privacy_info}, "
+            "please make sure the file is not empty and readable."
+        )
+
+        ex = UserErrorException(f"Load entity error: {ex}", privacy_info=[str(ex)])
+        _, _, _, error_message, _ = _ErrorInfo.get_error_info(ex)
+        assert error_message == "Load entity error: {privacy_info}"
+
+        func = self.test_message_with_privacy_info_filter2
+        request_id = "0000-0000-0000-0000"
+        ex.status_code = 404
+        ex.reason = "params error"
+        ex = UserErrorException(
+            f"Calling {func.__name__} failed with request id: {request_id}"
+            f"Status code: {ex.status_code}"
+            f"Reason: {ex.reason}"
+            f"Error message: {ex.message}",
+            privacy_info=[ex.reason, ex.message],
+        )
+        _, _, _, error_message, _ = _ErrorInfo.get_error_info(ex)
+        assert error_message == (
+            "Calling test_message_with_privacy_info_filter2 failed with request id: 0000-0000-0000-0000"
+            "Status code: 404"
+            "Reason: {privacy_info}"
+            "Error message: {privacy_info}"
+        )
diff --git a/src/promptflow/tests/sdk_cli_azure_test/unittests/test_flow_entity.py b/src/promptflow/tests/sdk_cli_azure_test/unittests/test_flow_entity.py
index ebd6229747a..a1945ba230a 100644
--- a/src/promptflow/tests/sdk_cli_azure_test/unittests/test_flow_entity.py
+++ b/src/promptflow/tests/sdk_cli_azure_test/unittests/test_flow_entity.py
@@ -8,7 +8,6 @@
 from pathlib import Path
 
 import pytest
-from marshmallow import ValidationError
 from mock.mock import Mock
 
 from promptflow import load_run
@@ -16,6 +15,7 @@
 from promptflow._utils.flow_utils import load_flow_dag
 from promptflow.azure._constants._flow import ENVIRONMENT, PYTHON_REQUIREMENTS_TXT
 from promptflow.azure._entities._flow import Flow
+from promptflow.exceptions import ValidationException
 
 tests_root_dir = Path(__file__).parent.parent.parent
 FLOWS_DIR = (tests_root_dir / "test_configs/flows").resolve()
@@ -124,7 +124,7 @@ def test_load_yaml_run_with_resources(self):
 
     def test_load_yaml_run_with_resources_unsupported_field(self):
         source = f"{RUNS_DIR}/sample_bulk_run_with_idle_time.yaml"
-        with pytest.raises(ValidationError) as e:
+        with pytest.raises(ValidationException) as e:
             load_run(source=source, params_override=[{"name": str(uuid.uuid4())}])
         assert "Unknown field" in str(e.value)
 
diff --git a/src/promptflow/tests/sdk_cli_azure_test/unittests/test_flow_operations.py b/src/promptflow/tests/sdk_cli_azure_test/unittests/test_flow_operations.py
index 969e1e713cd..e6f7e5512ce 100644
--- a/src/promptflow/tests/sdk_cli_azure_test/unittests/test_flow_operations.py
+++ b/src/promptflow/tests/sdk_cli_azure_test/unittests/test_flow_operations.py
@@ -12,6 +12,7 @@
 from promptflow.exceptions import UserErrorException
 
 tests_root_dir = Path(__file__).parent.parent.parent
+eager_flow_test_dir = tests_root_dir / "test_configs/eager_flows"
 flow_test_dir = tests_root_dir / "test_configs/flows"
 data_dir = tests_root_dir / "test_configs/datas"
 
@@ -87,3 +88,11 @@ def mock_get_arm_token(*args, **kwargs) -> str:
                 user_object_id, user_tenant_id = service_caller._get_user_identity_info()
                 assert user_object_id == mock_oid
                 assert user_tenant_id == mock_tid
+
+    def test_eager_flow_creation(self, pf):
+        flow_source = eager_flow_test_dir / "simple_with_yaml"
+        with pytest.raises(UserErrorException) as e:
+            pf.flows.create_or_update(
+                flow=flow_source,
+            )
+        assert "Creating it to cloud is not supported" in str(e.value)
diff --git a/src/promptflow/tests/sdk_cli_azure_test/unittests/test_pf_client.py b/src/promptflow/tests/sdk_cli_azure_test/unittests/test_pf_client.py
index e874936248d..b54df41ea89 100644
--- a/src/promptflow/tests/sdk_cli_azure_test/unittests/test_pf_client.py
+++ b/src/promptflow/tests/sdk_cli_azure_test/unittests/test_pf_client.py
@@ -7,10 +7,10 @@
 from promptflow import PFClient
 from promptflow._sdk.operations._connection_operations import ConnectionOperations
 from promptflow._sdk.operations._local_azure_connection_operations import LocalAzureConnectionOperations
+from promptflow.core._connection_provider._utils import extract_workspace
+from promptflow.core._errors import MalformedConnectionProviderConfig
 from promptflow.exceptions import UserErrorException
 
-from ..recording_utilities import is_live
-
 AZUREML_RESOURCE_PROVIDER = "Microsoft.MachineLearningServices"
 RESOURCE_ID_FORMAT = "/subscriptions/{}/resourceGroups/{}/providers/{}/workspaces/{}"
 
@@ -20,7 +20,7 @@
 class TestPFClient:
     # Test pf client when connection provider is azureml.
     # This tests suites need azure dependencies.
-    @pytest.mark.skipif(condition=not is_live(), reason="This test requires an actual PFClient")
+    @pytest.mark.skipif(condition=not pytest.is_live, reason="This test requires an actual PFClient")
     def test_connection_provider(self, subscription_id: str, resource_group_name: str, workspace_name: str):
         target = "promptflow._sdk._pf_client.Configuration"
         with mock.patch(target) as mocked:
@@ -32,10 +32,10 @@ def test_connection_provider(self, subscription_id: str, resource_group_name: st
 
         with mock.patch(target) as mocked:
             mocked.return_value.get_connection_provider.return_value = "azureml:xx"
-            with pytest.raises(ValueError) as e:
+            with pytest.raises(MalformedConnectionProviderConfig) as e:
                 client = PFClient()
                 assert client.connections
-            assert "Malformed connection provider string" in str(e.value)
+            assert "Malformed connection provider config" in str(e.value)
 
         with mock.patch(target) as mocked:
             mocked.return_value.get_connection_provider.return_value = "local"
@@ -60,22 +60,20 @@ def test_connection_provider(self, subscription_id: str, resource_group_name: st
         assert isinstance(client.connections, LocalAzureConnectionOperations)
 
     def test_local_azure_connection_extract_workspace(self):
-        res = LocalAzureConnectionOperations._extract_workspace(
+        res = extract_workspace(
             "azureml://subscriptions/123/resourceGroups/456/providers/Microsoft.MachineLearningServices/workspaces/789"
         )
         assert res == ("123", "456", "789")
 
-        res = LocalAzureConnectionOperations._extract_workspace(
-            "azureml://subscriptions/123/resourcegroups/456/workspaces/789"
-        )
+        res = extract_workspace("azureml://subscriptions/123/resourcegroups/456/workspaces/789")
         assert res == ("123", "456", "789")
 
-        with pytest.raises(ValueError) as e:
-            LocalAzureConnectionOperations._extract_workspace("azureml:xx")
-        assert "Malformed connection provider string" in str(e.value)
+        with pytest.raises(MalformedConnectionProviderConfig) as e:
+            extract_workspace("azureml:xx")
+        assert "Malformed connection provider config" in str(e.value)
 
-        with pytest.raises(ValueError) as e:
-            LocalAzureConnectionOperations._extract_workspace(
+        with pytest.raises(MalformedConnectionProviderConfig) as e:
+            extract_workspace(
                 "azureml://subscriptions/123/resourceGroups/456/providers/Microsoft.MachineLearningServices/workspaces/"
             )
-        assert "Malformed connection provider string" in str(e.value)
+        assert "Malformed connection provider config" in str(e.value)
diff --git a/src/promptflow/tests/sdk_cli_azure_test/unittests/test_run_operations.py b/src/promptflow/tests/sdk_cli_azure_test/unittests/test_run_operations.py
index bff64eb85b0..ac87ff57736 100644
--- a/src/promptflow/tests/sdk_cli_azure_test/unittests/test_run_operations.py
+++ b/src/promptflow/tests/sdk_cli_azure_test/unittests/test_run_operations.py
@@ -6,12 +6,15 @@
 from azure.ai.ml.entities import IdentityConfiguration
 from pytest_mock import MockerFixture
 
+from promptflow._sdk._errors import RunOperationParameterError
+from promptflow._sdk._utils import parse_otel_span_status_code
 from promptflow._sdk.entities import Run
 from promptflow.azure import PFClient
 from promptflow.exceptions import UserErrorException
 
 FLOWS_DIR = "./tests/test_configs/flows"
 DATAS_DIR = "./tests/test_configs/datas"
+EAGER_FLOWS_DIR = "./tests/test_configs/eager_flows"
 
 
 @pytest.mark.unittest
@@ -79,3 +82,39 @@ def test_run_with_identity_illegal_cases(self, pf: PFClient, identity, error_msg
             with pytest.raises(UserErrorException) as e:
                 pf.runs._resolve_identity(run)
             assert error_msg in str(e)
+
+    def test_flex_flow_with_imported_func(self, pf: PFClient):
+        # TODO(3017093): won't support this for now
+        with pytest.raises(UserErrorException) as e:
+            pf.run(
+                flow=parse_otel_span_status_code,
+                data=f"{DATAS_DIR}/simple_eager_flow_data.jsonl",
+                # set code folder to avoid snapshot too big
+                code=f"{EAGER_FLOWS_DIR}/multiple_entries",
+                column_mapping={"value": "${data.input_val}"},
+            )
+        assert "not supported" in str(e)
+
+    def test_wrong_workspace_type(
+        self, mocker: MockerFixture, subscription_id: str, resource_group_name: str, workspace_name: str
+    ):
+        from sdk_cli_azure_test._azure_utils import get_cred
+
+        from promptflow.recording.azure import get_pf_client_for_replay
+
+        # the test target "_workspace_default_datastore" is a cached property so the pf client needs to be recreated
+        # otherwise the test may fail due to the cached value
+        if pytest.is_replay:
+            pf = get_pf_client_for_replay()
+        else:
+            pf = PFClient(
+                credential=get_cred(),
+                subscription_id=subscription_id,
+                resource_group_name=resource_group_name,
+                workspace_name=workspace_name,
+            )
+        # test wrong workspace type "hub"
+        mocker.patch.object(pf.runs._workspace, "_kind", "hub")
+        with pytest.raises(RunOperationParameterError, match="Failed to get default workspace datastore"):
+            datastore = pf.runs._workspace_default_datastore
+            assert datastore
diff --git a/src/promptflow/tests/sdk_cli_azure_test/unittests/test_span.py b/src/promptflow/tests/sdk_cli_azure_test/unittests/test_span.py
index f757b20a1e7..2d94e57136d 100644
--- a/src/promptflow/tests/sdk_cli_azure_test/unittests/test_span.py
+++ b/src/promptflow/tests/sdk_cli_azure_test/unittests/test_span.py
@@ -1,3 +1,5 @@
+import datetime
+
 import pytest
 
 from promptflow._sdk.entities._trace import Span as SpanEntity
@@ -7,77 +9,114 @@
 @pytest.mark.unittest
 class TestSpan:
     FAKE_CREATED_BY = {"oid": "fake_oid"}
+    FAKE_COLLECTION_ID = "fake_collection_id"
+    FAKE_TRACE_ID = "0xacf2291a630af328da8fabd6bf49f653"
+    FAKE_SPAN_ID = "0x9ded7ce65d5f7775"
 
     def test_to_dict(self):
         span = Span(
             SpanEntity(
+                trace_id=self.FAKE_TRACE_ID,
+                span_id=self.FAKE_SPAN_ID,
                 name="test",
                 context={
-                    "trace_id": "0xacf2291a630af328da8fabd6bf49f653",
-                    "span_id": "0x9ded7ce65d5f7775",
+                    "trace_id": self.FAKE_TRACE_ID,
+                    "span_id": self.FAKE_SPAN_ID,
                 },
                 kind="test",
-                parent_span_id="test",
-                start_time="test",
-                end_time="test",
+                parent_id="test",
+                start_time=datetime.datetime.fromisoformat("2022-01-01T00:00:00"),
+                end_time=datetime.datetime.fromisoformat("2022-01-01T00:01:00"),
                 status={},
                 attributes={},
                 events=[],
                 links=[],
                 resource={},
-                span_type=None,
-                session_id=None,
             ),
+            collection_id=self.FAKE_COLLECTION_ID,
             created_by=self.FAKE_CREATED_BY,
         )
         assert span.to_dict() == {
             "name": "test",
             "kind": "test",
             "parent_id": "test",
-            "start_time": "test",
-            "end_time": "test",
+            "start_time": "2022-01-01T00:00:00",
+            "end_time": "2022-01-01T00:01:00",
             "context": {
-                "trace_id": "0xacf2291a630af328da8fabd6bf49f653",
-                "span_id": "0x9ded7ce65d5f7775",
+                "trace_id": self.FAKE_TRACE_ID,
+                "span_id": self.FAKE_SPAN_ID,
             },
-            "id": "0x9ded7ce65d5f7775",
+            "id": self.FAKE_SPAN_ID,
+            "partition_key": "fake_collection_id",
+            "collection_id": "fake_collection_id",
             "created_by": {"oid": "fake_oid"},
         }
 
         span = Span(
             SpanEntity(
+                trace_id=self.FAKE_TRACE_ID,
+                span_id=self.FAKE_SPAN_ID,
                 name="test",
                 context={
-                    "trace_id": "0xacf2291a630af328da8fabd6bf49f653",
-                    "span_id": "0x9ded7ce65d5f7775",
+                    "trace_id": self.FAKE_TRACE_ID,
+                    "span_id": self.FAKE_SPAN_ID,
                 },
                 kind="test",
-                parent_span_id="test",
-                start_time="test",
-                end_time="test",
+                parent_id="test",
+                start_time=datetime.datetime.fromisoformat("2022-01-01T00:00:00"),
+                end_time=datetime.datetime.fromisoformat("2022-01-01T00:01:00"),
                 status={},
                 attributes={"line_run_id": "test_line_run_id"},
                 events=[],
                 links=[],
-                resource={},
-                span_type=None,
-                session_id="test_session_id",
+                resource={"collection": "test_session_id"},
             ),
+            collection_id=self.FAKE_COLLECTION_ID,
             created_by=self.FAKE_CREATED_BY,
         )
         assert span.to_dict() == {
             "name": "test",
             "kind": "test",
             "parent_id": "test",
-            "start_time": "test",
-            "end_time": "test",
+            "start_time": "2022-01-01T00:00:00",
+            "end_time": "2022-01-01T00:01:00",
             "attributes": {"line_run_id": "test_line_run_id"},
-            "partition_key": "test_session_id",
+            "partition_key": "fake_collection_id",
             "context": {
-                "trace_id": "0xacf2291a630af328da8fabd6bf49f653",
-                "span_id": "0x9ded7ce65d5f7775",
+                "trace_id": self.FAKE_TRACE_ID,
+                "span_id": self.FAKE_SPAN_ID,
             },
-            "id": "0x9ded7ce65d5f7775",
-            "partition_key": "test_session_id",
+            "id": self.FAKE_SPAN_ID,
+            "collection_id": "fake_collection_id",
             "created_by": {"oid": "fake_oid"},
+            "resource": {"collection": "test_session_id"},
         }
+
+    def test_event_path(self):
+        span = Span(
+            SpanEntity(
+                name="test",
+                trace_id=self.FAKE_TRACE_ID,
+                span_id=self.FAKE_SPAN_ID,
+                context={
+                    "trace_id": self.FAKE_TRACE_ID,
+                    "span_id": self.FAKE_SPAN_ID,
+                },
+                kind="test",
+                parent_id="test",
+                start_time=datetime.datetime.fromisoformat("2022-01-01T00:00:00"),
+                end_time=datetime.datetime.fromisoformat("2022-01-01T00:01:00"),
+                status={},
+                attributes={},
+                events=[],
+                links=[],
+                resource={},
+            ),
+            collection_id=self.FAKE_COLLECTION_ID,
+            created_by=self.FAKE_CREATED_BY,
+        )
+
+        assert (
+            span._event_path(1)
+            == f".promptflow/.trace/{self.FAKE_COLLECTION_ID}/{self.FAKE_TRACE_ID}/{self.FAKE_SPAN_ID}/1"
+        )
diff --git a/src/promptflow/tests/sdk_cli_azure_test/unittests/test_summary.py b/src/promptflow/tests/sdk_cli_azure_test/unittests/test_summary.py
index 301ca2e9e60..7066ead5b29 100644
--- a/src/promptflow/tests/sdk_cli_azure_test/unittests/test_summary.py
+++ b/src/promptflow/tests/sdk_cli_azure_test/unittests/test_summary.py
@@ -1,211 +1,262 @@
+import datetime
 from dataclasses import asdict
 from unittest import mock
 
 import pytest
-from flask import Flask
 
-from promptflow._constants import SpanAttributeFieldName, SpanFieldName
+from promptflow._constants import OK_LINE_RUN_STATUS, SpanAttributeFieldName
 from promptflow._sdk.entities._trace import Span
-from promptflow.azure._storage.cosmosdb.summary import LineEvaluation, Summary, SummaryLine
+from promptflow.azure._storage.cosmosdb.summary import (
+    InsertEvaluationsRetriableException,
+    LineEvaluation,
+    Summary,
+    SummaryLine,
+)
 
 
+@pytest.mark.unittest
 class TestSummary:
     FAKE_CREATED_BY = {"oid": "fake_oid"}
+    FAKE_COLLECTION_ID = "fake_collection_id"
+    FAKE_LOGGER = mock.Mock()
 
     @pytest.fixture(autouse=True)
     def setup_data(self):
         test_span = Span(
+            trace_id="test_trace_id",
+            span_id="0987654321",
             name="test_span",
             context={"trace_id": "test_trace_id", "span_id": "0987654321"},
             kind="client",
-            start_time="2022-01-01T00:00:00Z",
-            end_time="2022-01-01T00:01:00Z",
-            status={"status_code": "OK"},
+            start_time=datetime.datetime.fromisoformat("2022-01-01T00:00:00"),
+            end_time=datetime.datetime.fromisoformat("2022-01-01T00:01:00"),
+            status={"status_code": OK_LINE_RUN_STATUS},
             attributes={"key1": "value1", "key2": "value2"},
-            resource={"type": "resource_type", "name": "resource_name"},
-            span_type="custom",
-            session_id="test_session_id",
-            parent_span_id="9876543210",
-            events=[{"name": "event1", "time": "2022-01-01T00:00:30Z"}],
+            resource={"type": "resource_type", "name": "resource_name", "collection": "test_session_id"},
+            parent_id="9876543210",
+            events=[{"name": "event1", "time": "2022-01-01T00:00:30"}],
             links=[{"trace_id": "0987654321", "span_id": "1234567890"}],
-            path="/path/to/span",
-            run="test_run",
-            experiment="test_experiment",
         )
-        self.summary = Summary(test_span, self.FAKE_CREATED_BY)
-        app = Flask(__name__)
-        with app.app_context():
-            yield
+        self.summary = Summary(test_span, self.FAKE_COLLECTION_ID, self.FAKE_CREATED_BY, self.FAKE_LOGGER)
 
     def test_non_root_span_does_not_persist(self):
-        with mock.patch.object(self.summary, "_persist_line_run") as mock_persist_line_run, mock.patch.object(
-            self.summary, "_insert_evaluation"
-        ) as mock_insert_evaluation:
-            mock_client = mock.Mock()
-            self.summary.span.parent_span_id = "parent_span_id"
-            self.summary.persist(mock_client)
-            mock_persist_line_run.assert_not_called()
-            mock_insert_evaluation.assert_not_called()
+        mock_client = mock.Mock()
+        self.summary.span.parent_id = "parent_span_id"
 
-    def test_aggregate_run_does_not_persist(self):
-        with mock.patch.object(self.summary, "_persist_line_run") as mock_persist_line_run, mock.patch.object(
-            self.summary, "_insert_evaluation"
-        ) as mock_insert_evaluation:
-            mock_client = mock.Mock()
-            self.summary.span.parent_span_id = None
-            attributes = self.summary.span._content[SpanFieldName.ATTRIBUTES]
-            attributes.pop(SpanAttributeFieldName.LINE_RUN_ID, None)
-            attributes.pop(SpanAttributeFieldName.BATCH_RUN_ID, None)
+        with mock.patch.multiple(
+            self.summary,
+            _persist_running_item=mock.DEFAULT,
+            _persist_line_run=mock.DEFAULT,
+            _insert_evaluation_with_retry=mock.DEFAULT,
+        ) as values:
             self.summary.persist(mock_client)
-            mock_persist_line_run.assert_called_once()
-            mock_insert_evaluation.assert_not_called()
+            values["_persist_running_item"].assert_called_once()
+            values["_persist_line_run"].assert_not_called()
+            values["_insert_evaluation_with_retry"].assert_not_called()
 
-    def test_non_evaluation_span_persists_as_main_run(self):
-        with mock.patch.object(self.summary, "_persist_line_run") as mock_persist_line_run, mock.patch.object(
-            self.summary, "_insert_evaluation"
-        ) as mock_insert_evaluation:
-            mock_client = mock.Mock()
-            self.summary.span.parent_span_id = None
-            self.summary.span._content[SpanFieldName.ATTRIBUTES][SpanAttributeFieldName.LINE_RUN_ID] = "line_run_id"
+    def test_root_span_persist_main_line(self):
+        mock_client = mock.Mock()
+        self.summary.span.parent_id = None
+        attributes = self.summary.span.attributes
+        attributes.pop(SpanAttributeFieldName.LINE_RUN_ID, None)
+        attributes.pop(SpanAttributeFieldName.BATCH_RUN_ID, None)
+        with mock.patch.multiple(
+            self.summary,
+            _persist_running_item=mock.DEFAULT,
+            _persist_line_run=mock.DEFAULT,
+            _insert_evaluation_with_retry=mock.DEFAULT,
+        ) as values:
             self.summary.persist(mock_client)
-            mock_persist_line_run.assert_called_once()
-            mock_insert_evaluation.assert_not_called()
+            values["_persist_running_item"].assert_not_called()
+            values["_persist_line_run"].assert_called_once()
+            values["_insert_evaluation_with_retry"].assert_not_called()
 
-    def test_non_evaluation_span_persists_with_referenced_line_run_id(self):
-        with mock.patch.object(self.summary, "_persist_line_run") as mock_persist_line_run, mock.patch.object(
-            self.summary, "_insert_evaluation"
-        ) as mock_insert_evaluation:
-            mock_client = mock.Mock()
-            self.summary.span.parent_span_id = None
-            self.summary.span._content[SpanFieldName.ATTRIBUTES][SpanAttributeFieldName.LINE_RUN_ID] = "line_run_id"
-            self.summary.span._content[SpanFieldName.ATTRIBUTES][
-                SpanAttributeFieldName.REFERENCED_LINE_RUN_ID
-            ] = "main_line_run_id"
+    def test_root_evaluation_span_insert(self):
+        mock_client = mock.Mock()
+        self.summary.span.parent_id = None
+        self.summary.span.attributes[SpanAttributeFieldName.LINE_RUN_ID] = "line_run_id"
+        self.summary.span.attributes[SpanAttributeFieldName.REFERENCED_LINE_RUN_ID] = "main_line_run_id"
+        with mock.patch.multiple(
+            self.summary,
+            _persist_running_item=mock.DEFAULT,
+            _persist_line_run=mock.DEFAULT,
+            _insert_evaluation_with_retry=mock.DEFAULT,
+        ) as values:
             self.summary.persist(mock_client)
-            mock_persist_line_run.assert_called_once()
-            mock_insert_evaluation.assert_called_once()
+            values["_persist_running_item"].assert_not_called()
+            values["_persist_line_run"].assert_called_once()
+            values["_insert_evaluation_with_retry"].assert_called_once()
 
-    def test_insert_evaluation_line_run_not_exist(self):
+    def test_insert_evaluation_not_found(self):
         client = mock.Mock()
-        self.summary.span._content = {
-            SpanFieldName.ATTRIBUTES: {
-                SpanAttributeFieldName.REFERENCED_LINE_RUN_ID: "referenced_line_run_id",
-                SpanAttributeFieldName.LINE_RUN_ID: "line_run_id",
-                SpanAttributeFieldName.OUTPUT: '{"output_key": "output_value"}',
-            }
+        self.summary.span.attributes = {
+            SpanAttributeFieldName.REFERENCED_LINE_RUN_ID: "referenced_line_run_id",
+            SpanAttributeFieldName.LINE_RUN_ID: "line_run_id",
+            SpanAttributeFieldName.OUTPUT: '{"output_key": "output_value"}',
         }
 
         client.query_items.return_value = []
-        self.summary._insert_evaluation(client)
+        with pytest.raises(InsertEvaluationsRetriableException):
+            self.summary._insert_evaluation(client)
         client.query_items.assert_called_once()
         client.patch_item.assert_not_called()
 
-    def test_insert_evaluation_line_run_normal(self):
+    def test_insert_evaluation_not_finished(self):
         client = mock.Mock()
-        self.summary.span._content = {
-            SpanFieldName.ATTRIBUTES: {
-                SpanAttributeFieldName.REFERENCED_LINE_RUN_ID: "referenced_line_run_id",
-                SpanAttributeFieldName.LINE_RUN_ID: "line_run_id",
-                SpanAttributeFieldName.OUTPUT: '{"output_key": "output_value"}',
-            }
+        self.summary.span.attributes = {
+            SpanAttributeFieldName.REFERENCED_LINE_RUN_ID: "referenced_line_run_id",
+            SpanAttributeFieldName.LINE_RUN_ID: "line_run_id",
+            SpanAttributeFieldName.OUTPUT: '{"output_key": "output_value"}',
+        }
+
+        client.query_items.return_value = [{"id": "main_id"}]
+        with pytest.raises(InsertEvaluationsRetriableException):
+            self.summary._insert_evaluation(client)
+        client.query_items.assert_called_once()
+        client.patch_item.assert_not_called()
+
+    def test_insert_evaluation_normal(self):
+        client = mock.Mock()
+        self.summary.span.attributes = {
+            SpanAttributeFieldName.REFERENCED_LINE_RUN_ID: "referenced_line_run_id",
+            SpanAttributeFieldName.LINE_RUN_ID: "line_run_id",
+            SpanAttributeFieldName.OUTPUT: '{"output_key": "output_value"}',
         }
         expected_item = LineEvaluation(
             line_run_id="line_run_id",
+            collection_id=self.FAKE_COLLECTION_ID,
             trace_id=self.summary.span.trace_id,
             root_span_id=self.summary.span.span_id,
             outputs={"output_key": "output_value"},
-            display_name=self.summary.span.name,
+            name=self.summary.span.name,
             created_by=self.FAKE_CREATED_BY,
         )
         expected_patch_operations = [
             {"op": "add", "path": f"/evaluations/{self.summary.span.name}", "value": asdict(expected_item)}
         ]
 
-        client.query_items.return_value = [{"id": "main_id"}]
+        client.query_items.return_value = [
+            {"id": "main_id", "partition_key": "test_main_partition_key", "status": OK_LINE_RUN_STATUS}
+        ]
         self.summary._insert_evaluation(client)
         client.query_items.assert_called_once()
         client.patch_item.assert_called_once_with(
             item="main_id",
-            partition_key="test_session_id",
+            partition_key="test_main_partition_key",
             patch_operations=expected_patch_operations,
         )
 
-    def test_insert_evaluation_batch_run_not_exist(self):
+    def test_insert_evaluation_query_line(self):
         client = mock.Mock()
-        self.summary.span._content = {
-            SpanFieldName.ATTRIBUTES: {
-                SpanAttributeFieldName.REFERENCED_BATCH_RUN_ID: "referenced_batch_run_id",
-                SpanAttributeFieldName.BATCH_RUN_ID: "batch_run_id",
-                SpanAttributeFieldName.LINE_NUMBER: "1",
-                SpanAttributeFieldName.OUTPUT: '{"output_key": "output_value"}',
-            }
+        self.summary.span.attributes = {
+            SpanAttributeFieldName.REFERENCED_LINE_RUN_ID: "referenced_line_run_id",
+            SpanAttributeFieldName.LINE_RUN_ID: "line_run_id",
+            SpanAttributeFieldName.OUTPUT: '{"output_key": "output_value"}',
         }
-
-        client.query_items.return_value = []
+        client.query_items.return_value = [
+            {"id": "main_id", "partition_key": "test_main_partition_key", "status": OK_LINE_RUN_STATUS}
+        ]
         self.summary._insert_evaluation(client)
-        client.query_items.assert_called_once()
-        client.patch_item.assert_not_called()
+        client.query_items.assert_called_once_with(
+            query=(
+                "SELECT * FROM c WHERE "
+                "c.line_run_id = @line_run_id AND c.batch_run_id = @batch_run_id AND c.line_number = @line_number"
+            ),
+            parameters=[
+                {"name": "@line_run_id", "value": "referenced_line_run_id"},
+                {"name": "@batch_run_id", "value": None},
+                {"name": "@line_number", "value": None},
+            ],
+            enable_cross_partition_query=True,
+        )
 
-    def test_insert_evaluation_batch_run_normal(self):
-        client = mock.Mock()
-        self.summary.span._content = {
-            SpanFieldName.ATTRIBUTES: {
-                SpanAttributeFieldName.REFERENCED_BATCH_RUN_ID: "referenced_batch_run_id",
-                SpanAttributeFieldName.BATCH_RUN_ID: "batch_run_id",
-                SpanAttributeFieldName.LINE_NUMBER: "1",
-                SpanAttributeFieldName.OUTPUT: '{"output_key": "output_value"}',
-            }
-        }
         expected_item = LineEvaluation(
-            batch_run_id="batch_run_id",
-            line_number="1",
+            line_run_id="line_run_id",
+            collection_id=self.FAKE_COLLECTION_ID,
             trace_id=self.summary.span.trace_id,
             root_span_id=self.summary.span.span_id,
             outputs={"output_key": "output_value"},
-            display_name=self.summary.span.name,
+            name=self.summary.span.name,
             created_by=self.FAKE_CREATED_BY,
         )
-
         expected_patch_operations = [
             {"op": "add", "path": f"/evaluations/{self.summary.span.name}", "value": asdict(expected_item)}
         ]
+        client.patch_item.assert_called_once_with(
+            item="main_id",
+            partition_key="test_main_partition_key",
+            patch_operations=expected_patch_operations,
+        )
+
+    def test_insert_evaluation_query_batch_run(self):
+        client = mock.Mock()
+        self.summary.span.attributes = {
+            SpanAttributeFieldName.REFERENCED_BATCH_RUN_ID: "referenced_batch_run_id",
+            SpanAttributeFieldName.BATCH_RUN_ID: "batch_run_id",
+            SpanAttributeFieldName.LINE_NUMBER: 1,
+            SpanAttributeFieldName.OUTPUT: '{"output_key": "output_value"}',
+        }
+        client.query_items.return_value = [
+            {"id": "main_id", "partition_key": "test_main_partition_key", "status": OK_LINE_RUN_STATUS}
+        ]
 
-        client.query_items.return_value = [{"id": "main_id"}]
         self.summary._insert_evaluation(client)
-        client.query_items.assert_called_once()
+        client.query_items.assert_called_once_with(
+            query=(
+                "SELECT * FROM c WHERE "
+                "c.line_run_id = @line_run_id AND c.batch_run_id = @batch_run_id AND c.line_number = @line_number"
+            ),
+            parameters=[
+                {"name": "@line_run_id", "value": None},
+                {"name": "@batch_run_id", "value": "referenced_batch_run_id"},
+                {"name": "@line_number", "value": 1},
+            ],
+            enable_cross_partition_query=True,
+        )
+
+        expected_item = LineEvaluation(
+            batch_run_id="batch_run_id",
+            collection_id=self.FAKE_COLLECTION_ID,
+            line_number=1,
+            trace_id=self.summary.span.trace_id,
+            root_span_id=self.summary.span.span_id,
+            outputs={"output_key": "output_value"},
+            name=self.summary.span.name,
+            created_by=self.FAKE_CREATED_BY,
+        )
+        expected_patch_operations = [{"op": "add", "path": "/evaluations/batch_run_id", "value": asdict(expected_item)}]
         client.patch_item.assert_called_once_with(
             item="main_id",
-            partition_key="test_session_id",
+            partition_key="test_main_partition_key",
             patch_operations=expected_patch_operations,
         )
 
     def test_persist_line_run(self):
         client = mock.Mock()
-        self.summary.span._content.update(
+        self.summary.span.attributes.update(
             {
-                SpanFieldName.ATTRIBUTES: {
-                    SpanAttributeFieldName.LINE_RUN_ID: "line_run_id",
-                    SpanAttributeFieldName.INPUTS: '{"input_key": "input_value"}',
-                    SpanAttributeFieldName.OUTPUT: '{"output_key": "output_value"}',
-                    SpanAttributeFieldName.SPAN_TYPE: "promptflow.TraceType.Flow",
-                    SpanAttributeFieldName.COMPLETION_TOKEN_COUNT: 10,
-                    SpanAttributeFieldName.PROMPT_TOKEN_COUNT: 5,
-                    SpanAttributeFieldName.TOTAL_TOKEN_COUNT: 15,
-                },
+                SpanAttributeFieldName.LINE_RUN_ID: "line_run_id",
+                SpanAttributeFieldName.INPUTS: '{"input_key": "input_value"}',
+                SpanAttributeFieldName.OUTPUT: '{"output_key": "output_value"}',
+                SpanAttributeFieldName.SPAN_TYPE: "promptflow.TraceType.Flow",
+                SpanAttributeFieldName.COMPLETION_TOKEN_COUNT: 10,
+                SpanAttributeFieldName.PROMPT_TOKEN_COUNT: 5,
+                SpanAttributeFieldName.TOTAL_TOKEN_COUNT: 15,
             }
         )
         expected_item = SummaryLine(
             id="test_trace_id",
-            partition_key="test_session_id",
+            partition_key=self.FAKE_COLLECTION_ID,
+            collection_id=self.FAKE_COLLECTION_ID,
             session_id="test_session_id",
             line_run_id="line_run_id",
             trace_id=self.summary.span.trace_id,
             root_span_id=self.summary.span.span_id,
             inputs={"input_key": "input_value"},
             outputs={"output_key": "output_value"},
-            start_time="2022-01-01T00:00:00Z",
-            end_time="2022-01-01T00:01:00Z",
-            status="OK",
+            start_time="2022-01-01T00:00:00",
+            end_time="2022-01-01T00:01:00",
+            status=OK_LINE_RUN_STATUS,
             latency=60.0,
             name=self.summary.span.name,
             kind="promptflow.TraceType.Flow",
@@ -217,39 +268,37 @@ def test_persist_line_run(self):
             },
         )
 
-        with mock.patch.object(client, "create_item") as mock_create_item:
-            self.summary._persist_line_run(client)
-            mock_create_item.assert_called_once_with(body=asdict(expected_item))
+        self.summary._persist_line_run(client)
+        client.upsert_item.assert_called_once_with(body=asdict(expected_item))
 
     def test_persist_batch_run(self):
         client = mock.Mock()
-        self.summary.span._content.update(
+        self.summary.span.attributes.update(
             {
-                SpanFieldName.ATTRIBUTES: {
-                    SpanAttributeFieldName.BATCH_RUN_ID: "batch_run_id",
-                    SpanAttributeFieldName.LINE_NUMBER: "1",
-                    SpanAttributeFieldName.INPUTS: '{"input_key": "input_value"}',
-                    SpanAttributeFieldName.OUTPUT: '{"output_key": "output_value"}',
-                    SpanAttributeFieldName.SPAN_TYPE: "promptflow.TraceType.Flow",
-                    SpanAttributeFieldName.COMPLETION_TOKEN_COUNT: 10,
-                    SpanAttributeFieldName.PROMPT_TOKEN_COUNT: 5,
-                    SpanAttributeFieldName.TOTAL_TOKEN_COUNT: 15,
-                },
-            }
+                SpanAttributeFieldName.BATCH_RUN_ID: "batch_run_id",
+                SpanAttributeFieldName.LINE_NUMBER: "1",
+                SpanAttributeFieldName.INPUTS: '{"input_key": "input_value"}',
+                SpanAttributeFieldName.OUTPUT: '{"output_key": "output_value"}',
+                SpanAttributeFieldName.SPAN_TYPE: "promptflow.TraceType.Flow",
+                SpanAttributeFieldName.COMPLETION_TOKEN_COUNT: 10,
+                SpanAttributeFieldName.PROMPT_TOKEN_COUNT: 5,
+                SpanAttributeFieldName.TOTAL_TOKEN_COUNT: 15,
+            },
         )
         expected_item = SummaryLine(
             id="test_trace_id",
-            partition_key="test_session_id",
+            partition_key=self.FAKE_COLLECTION_ID,
             session_id="test_session_id",
+            collection_id=self.FAKE_COLLECTION_ID,
             batch_run_id="batch_run_id",
             line_number="1",
             trace_id=self.summary.span.trace_id,
             root_span_id=self.summary.span.span_id,
             inputs={"input_key": "input_value"},
             outputs={"output_key": "output_value"},
-            start_time="2022-01-01T00:00:00Z",
-            end_time="2022-01-01T00:01:00Z",
-            status="OK",
+            start_time="2022-01-01T00:00:00",
+            end_time="2022-01-01T00:01:00",
+            status=OK_LINE_RUN_STATUS,
             latency=60.0,
             name=self.summary.span.name,
             created_by=self.FAKE_CREATED_BY,
@@ -261,6 +310,35 @@ def test_persist_batch_run(self):
             },
         )
 
-        with mock.patch.object(client, "create_item") as mock_create_item:
-            self.summary._persist_line_run(client)
-            mock_create_item.assert_called_once_with(body=asdict(expected_item))
+        self.summary._persist_line_run(client)
+        client.upsert_item.assert_called_once_with(body=asdict(expected_item))
+
+    def test_insert_evaluation_with_retry_success(self):
+        client = mock.Mock()
+        with mock.patch.object(self.summary, "_insert_evaluation") as mock_insert_evaluation:
+            self.summary._insert_evaluation_with_retry(client)
+            mock_insert_evaluation.assert_called_once_with(client)
+
+    def test_insert_evaluation_with_retry_exception(self):
+        client = mock.Mock()
+        with mock.patch.object(self.summary, "_insert_evaluation") as mock_insert_evaluation:
+            mock_insert_evaluation.side_effect = InsertEvaluationsRetriableException()
+            with mock.patch("time.sleep") as mock_sleep:
+                self.summary._insert_evaluation_with_retry(client)
+                mock_insert_evaluation.assert_called_with(client)
+                assert mock_insert_evaluation.call_count == 3
+                assert mock_sleep.call_count == 2
+
+    def test_insert_evaluation_with_non_retry_exception(self):
+        client = mock.Mock()
+        with mock.patch.object(self.summary, "_insert_evaluation") as mock_insert_evaluation:
+            mock_insert_evaluation.side_effect = Exception()
+            with pytest.raises(Exception):
+                self.summary._insert_evaluation_with_retry(client)
+            assert mock_insert_evaluation.call_count == 1
+
+    def test_persist_running_item_create_item(self):
+        client = mock.Mock()
+        with mock.patch("promptflow.azure._storage.cosmosdb.summary.safe_create_cosmosdb_item") as mock_safe_write:
+            self.summary._persist_running_item(client)
+            mock_safe_write.assert_called_once()
diff --git a/src/promptflow/tests/sdk_cli_global_config_test/conftest.py b/src/promptflow/tests/sdk_cli_global_config_test/conftest.py
index a5c066e15b8..672e866793f 100644
--- a/src/promptflow/tests/sdk_cli_global_config_test/conftest.py
+++ b/src/promptflow/tests/sdk_cli_global_config_test/conftest.py
@@ -1,8 +1,10 @@
 # ---------------------------------------------------------
 # Copyright (c) Microsoft Corporation. All rights reserved.
 # ---------------------------------------------------------
+import os
 
 import pytest
+from _constants import DEFAULT_RESOURCE_GROUP_NAME, DEFAULT_SUBSCRIPTION_ID, DEFAULT_WORKSPACE_NAME
 
 from promptflow import PFClient
 from promptflow._sdk._configuration import Configuration
@@ -11,6 +13,25 @@
 RESOURCE_ID_FORMAT = "/subscriptions/{}/resourceGroups/{}/providers/{}/workspaces/{}"
 
 
+# region pfazure constants
+@pytest.fixture(scope="session")
+def subscription_id() -> str:
+    return os.getenv("PROMPT_FLOW_SUBSCRIPTION_ID", DEFAULT_SUBSCRIPTION_ID)
+
+
+@pytest.fixture(scope="session")
+def resource_group_name() -> str:
+    return os.getenv("PROMPT_FLOW_RESOURCE_GROUP_NAME", DEFAULT_RESOURCE_GROUP_NAME)
+
+
+@pytest.fixture(scope="session")
+def workspace_name() -> str:
+    return os.getenv("PROMPT_FLOW_WORKSPACE_NAME", DEFAULT_WORKSPACE_NAME)
+
+
+# endregion
+
+
 @pytest.fixture
 def pf() -> PFClient:
     return PFClient()
diff --git a/src/promptflow/tests/sdk_cli_global_config_test/e2etests/test_global_config.py b/src/promptflow/tests/sdk_cli_global_config_test/e2etests/test_global_config.py
index ee2dc6d372e..cf528f63003 100644
--- a/src/promptflow/tests/sdk_cli_global_config_test/e2etests/test_global_config.py
+++ b/src/promptflow/tests/sdk_cli_global_config_test/e2etests/test_global_config.py
@@ -1,7 +1,12 @@
 from pathlib import Path
 
+import mock
 import pytest
 
+from promptflow._sdk._load_functions import load_flow
+from promptflow._sdk.entities._flow._flow_context_resolver import FlowContextResolver
+from promptflow.core._connection_provider._workspace_connection_provider import WorkspaceConnectionProvider
+
 FLOWS_DIR = Path(__file__).parent.parent.parent / "test_configs" / "flows"
 DATAS_DIR = Path(__file__).parent.parent.parent / "test_configs" / "datas"
 
@@ -27,3 +32,17 @@ def test_connection_operations(self, pf) -> None:
 
         with pytest.raises(NotImplementedError):
             pf.connections.delete(name="test_connection")
+
+    def test_flow_as_func(self):
+        # Assert flow as func use azure provider, honor global connection config
+        def assert_client(mock_self, provider, **kwargs):
+            assert isinstance(provider, WorkspaceConnectionProvider)
+            return {
+                "azure_open_ai_connection": provider.get(
+                    name="azure_open_ai_connection"
+                )._to_execution_connection_dict()
+            }
+
+        flow = load_flow(source=f"{FLOWS_DIR}/web_classification")
+        with mock.patch("promptflow.core._serving.flow_invoker.FlowInvoker.resolve_connections", assert_client):
+            FlowContextResolver.resolve(flow=flow)
diff --git a/src/promptflow/tests/sdk_cli_test/.coveragerc b/src/promptflow/tests/sdk_cli_test/.coveragerc
index 1a9649c810b..779ff0e9a37 100644
--- a/src/promptflow/tests/sdk_cli_test/.coveragerc
+++ b/src/promptflow/tests/sdk_cli_test/.coveragerc
@@ -6,4 +6,7 @@ source =
 omit =
     */promptflow/azure/_restclient/*
     */promptflow/azure/_models/*
+    */promptflow/core/_connection_provider/_models*
+    */promptflow/executor/*
     *__init__.py*
+    */promptflow/_sdk/_serving/*
diff --git a/src/promptflow/tests/sdk_cli_test/conftest.py b/src/promptflow/tests/sdk_cli_test/conftest.py
index 0cfa8cbd9a4..ee5cf6ff048 100644
--- a/src/promptflow/tests/sdk_cli_test/conftest.py
+++ b/src/promptflow/tests/sdk_cli_test/conftest.py
@@ -10,37 +10,53 @@
 from pytest_mock import MockerFixture
 from sqlalchemy import create_engine
 
-from promptflow import PFClient
 from promptflow._sdk._configuration import Configuration
 from promptflow._sdk._constants import EXPERIMENT_CREATED_ON_INDEX_NAME, EXPERIMENT_TABLE_NAME, LOCAL_MGMT_DB_PATH
-from promptflow._sdk._serving.app import create_app as create_serving_app
 from promptflow._sdk.entities import AzureOpenAIConnection as AzureOpenAIConnectionEntity
 from promptflow._sdk.entities._connection import CustomConnection, _Connection
-from promptflow._utils.utils import is_in_ci_pipeline
+from promptflow.client import PFClient
+from promptflow.core._serving.app import create_app as create_serving_app
 from promptflow.executor._line_execution_process_pool import _process_wrapper
 from promptflow.executor._process_manager import create_spawned_fork_process_manager
-from promptflow.tracing._openai_injector import inject_openai_api
-
-from .recording_utilities import (
-    RecordStorage,
-    check_pydantic_v2,
-    delete_count_lock_file,
-    inject_async_with_recording,
-    inject_sync_with_recording,
-    is_live,
-    is_record,
-    is_replay,
-    mock_tool,
-    recording_array_reset,
-)
+from promptflow.tracing._integrations._openai_injector import inject_openai_api
+
+try:
+    from promptflow.recording.local import recording_array_reset
+    from promptflow.recording.record_mode import is_in_ci_pipeline, is_live, is_record, is_replay
+except ImportError:
+    # Run test in empty mode if promptflow-recording is not installed
+    def recording_array_reset():
+        pass
+
+    def is_in_ci_pipeline():
+        return False
+
+    def is_live():
+        return False
+
+    def is_record():
+        return False
+
+    def is_replay():
+        return False
+
 
 PROMOTFLOW_ROOT = Path(__file__) / "../../.."
 RUNTIME_TEST_CONFIGS_ROOT = Path(PROMOTFLOW_ROOT / "tests/test_configs/runtime")
-RECORDINGS_TEST_CONFIGS_ROOT = Path(PROMOTFLOW_ROOT / "tests/test_configs/node_recordings").resolve()
 CONNECTION_FILE = (PROMOTFLOW_ROOT / "connections.json").resolve().absolute().as_posix()
 MODEL_ROOT = Path(PROMOTFLOW_ROOT / "tests/test_configs/flows")
 EAGER_FLOW_ROOT = Path(PROMOTFLOW_ROOT / "tests/test_configs/eager_flows")
 
+SRC_ROOT = PROMOTFLOW_ROOT / ".."
+RECORDINGS_TEST_CONFIGS_ROOT = Path(SRC_ROOT / "promptflow-recording/recordings/local").resolve()
+
+
+def pytest_configure():
+    pytest.is_live = is_live()
+    pytest.is_record = is_record()
+    pytest.is_replay = is_replay()
+    pytest.is_in_ci_pipeline = is_in_ci_pipeline()
+
 
 @pytest.fixture(scope="session")
 def local_client() -> PFClient:
@@ -132,7 +148,7 @@ def flow_serving_client(mocker: MockerFixture):
 @pytest.fixture
 def flow_serving_client_with_encoded_connection(mocker: MockerFixture):
     from promptflow._core.connection_manager import ConnectionManager
-    from promptflow._sdk._serving.utils import encode_dict
+    from promptflow.core._serving.utils import encode_dict
 
     connection_dict = json.loads(open(CONNECTION_FILE, "r").read())
     connection_manager = ConnectionManager(connection_dict)
@@ -160,6 +176,7 @@ def create_client_by_model(
     extension_type=None,
     environment_variables={},
     model_root=MODEL_ROOT,
+    init=None,
 ):
     model_path = (Path(model_root) / model_name).resolve().absolute().as_posix()
     mocker.patch.dict(os.environ, {"PROMPTFLOW_PROJECT_PATH": model_path})
@@ -167,7 +184,7 @@ def create_client_by_model(
         mocker.patch.dict(os.environ, connections)
     if extension_type and extension_type == "azureml":
         environment_variables["API_TYPE"] = "${azure_open_ai_connection.api_type}"
-    app = create_serving_app(environment_variables=environment_variables, extension_type=extension_type)
+    app = create_serving_app(environment_variables=environment_variables, extension_type=extension_type, init=init)
     app.config.update(
         {
             "TESTING": True,
@@ -231,6 +248,58 @@ def non_json_serializable_output(mocker: MockerFixture):
     return create_client_by_model("non_json_serializable_output", mocker, model_root=EAGER_FLOW_ROOT)
 
 
+@pytest.fixture
+def stream_output(mocker: MockerFixture):
+    return create_client_by_model("stream_output", mocker, model_root=EAGER_FLOW_ROOT)
+
+
+@pytest.fixture
+def multiple_stream_outputs(mocker: MockerFixture):
+    return create_client_by_model("multiple_stream_outputs", mocker, model_root=EAGER_FLOW_ROOT)
+
+
+@pytest.fixture
+def eager_flow_evc(mocker: MockerFixture):
+    return create_client_by_model("environment_variables_connection", mocker, model_root=EAGER_FLOW_ROOT)
+
+
+@pytest.fixture
+def eager_flow_evc_override(mocker: MockerFixture):
+    return create_client_by_model(
+        "environment_variables_connection",
+        mocker,
+        model_root=EAGER_FLOW_ROOT,
+        environment_variables={"TEST": "${azure_open_ai_connection.api_base}"},
+    )
+
+
+@pytest.fixture
+def eager_flow_evc_override_not_exist(mocker: MockerFixture):
+    return create_client_by_model(
+        "environment_variables",
+        mocker,
+        model_root=EAGER_FLOW_ROOT,
+        environment_variables={"TEST": "${azure_open_ai_connection.api_type}"},
+    )
+
+
+@pytest.fixture
+def eager_flow_evc_connection_not_exist(mocker: MockerFixture):
+    return create_client_by_model(
+        "evc_connection_not_exist",
+        mocker,
+        model_root=EAGER_FLOW_ROOT,
+        environment_variables={"TEST": "VALUE"},
+    )
+
+
+@pytest.fixture
+def callable_class(mocker: MockerFixture):
+    return create_client_by_model(
+        "basic_callable_class", mocker, model_root=EAGER_FLOW_ROOT, init={"obj_input": "input1"}
+    )
+
+
 # ==================== Recording injection ====================
 # To inject patches in subprocesses, add new mock method in setup_recording_injection_if_enabled
 # in fork mode, this is automatically enabled.
@@ -260,8 +329,14 @@ def recording_injection(mocker: MockerFixture):
     try:
         yield
     finally:
-        RecordStorage.get_instance().delete_lock_file()
-        delete_count_lock_file()
+        if is_replay() or is_record():
+            from promptflow.recording.local import RecordStorage
+
+            RecordStorage.get_instance().delete_lock_file()
+        if is_live():
+            from promptflow.recording.local import delete_count_lock_file
+
+            delete_count_lock_file()
         recording_array_reset()
 
         multiprocessing.get_context("spawn").Process = original_process_class
@@ -282,6 +357,14 @@ def start_patches(patch_targets):
             patcher.start()
 
     if is_replay() or is_record():
+        from promptflow.recording.local import (
+            RecordStorage,
+            inject_async_with_recording,
+            inject_sync_with_recording,
+            mock_tool,
+        )
+        from promptflow.recording.record_mode import check_pydantic_v2
+
         check_pydantic_v2()
         file_path = RECORDINGS_TEST_CONFIGS_ROOT / "node_cache.shelve"
         RecordStorage.get_instance(file_path)
@@ -293,15 +376,17 @@ def start_patches(patch_targets):
             "promptflow._core.tool.tool": mocked_tool,
             "promptflow._internal.tool": mocked_tool,
             "promptflow.tool": mocked_tool,
-            "promptflow.tracing._openai_injector.inject_sync": inject_sync_with_recording,
-            "promptflow.tracing._openai_injector.inject_async": inject_async_with_recording,
+            "promptflow.tracing._integrations._openai_injector.inject_sync": inject_sync_with_recording,
+            "promptflow.tracing._integrations._openai_injector.inject_async": inject_async_with_recording,
         }
         start_patches(patch_targets)
 
     if is_live() and is_in_ci_pipeline():
+        from promptflow.recording.local import inject_async_with_recording, inject_sync_with_recording
+
         patch_targets = {
-            "promptflow.tracing._openai_injector.inject_sync": inject_sync_with_recording,
-            "promptflow.tracing._openai_injector.inject_async": inject_async_with_recording,
+            "promptflow.tracing._integrations._openai_injector.inject_sync": inject_sync_with_recording,
+            "promptflow.tracing._integrations._openai_injector.inject_async": inject_async_with_recording,
         }
         start_patches(patch_targets)
 
diff --git a/src/promptflow/tests/sdk_cli_test/e2etests/test_chat_group.py b/src/promptflow/tests/sdk_cli_test/e2etests/test_chat_group.py
new file mode 100644
index 00000000000..5af6973d288
--- /dev/null
+++ b/src/promptflow/tests/sdk_cli_test/e2etests/test_chat_group.py
@@ -0,0 +1,54 @@
+from pathlib import Path
+
+import pytest
+
+from promptflow._sdk.entities._chat_group._chat_group import ChatGroup
+from promptflow._sdk.entities._chat_group._chat_role import ChatRole
+
+PROMOTFLOW_ROOT = Path(__file__) / "../../../.."
+
+TEST_ROOT = Path(__file__).parent.parent.parent
+FLOWS_DIR = TEST_ROOT / "test_configs/flows"
+
+
+@pytest.mark.sdk_test
+@pytest.mark.e2etest
+@pytest.mark.usefixtures("use_secrets_config_file", "recording_injection", "setup_local_connection")
+class TestChatGroup:
+    def test_chat_group_basic_invoke(self):
+        question = "What's the most beautiful thing in the world?"
+        ground_truth = "The world itself."
+
+        copilot = ChatRole(
+            flow=FLOWS_DIR / "chat_group_copilot",
+            role="assistant",
+            inputs=dict(
+                question=question,
+                model="gpt-3.5-turbo",
+                conversation_history="${parent.conversation_history}",
+            ),
+        )
+        simulation = ChatRole(
+            flow=FLOWS_DIR / "chat_group_simulation",
+            role="user",
+            inputs=dict(
+                question=question,
+                ground_truth=ground_truth,
+                conversation_history="${parent.conversation_history}",
+            ),
+        )
+
+        chat_group = ChatGroup(
+            roles=[copilot, simulation],
+            max_turns=4,
+            max_tokens=1000,
+            max_time=1000,
+            stop_signal="[STOP]",
+        )
+        chat_group.invoke()
+
+        # history has 4 records
+        history = chat_group.conversation_history
+        assert len(history) == 4
+        assert history[0][0] == history[2][0] == copilot.role
+        assert history[1][0] == history[3][0] == simulation.role
diff --git a/src/promptflow/tests/sdk_cli_test/e2etests/test_cli.py b/src/promptflow/tests/sdk_cli_test/e2etests/test_cli.py
index 8186a51b328..a07e4e77451 100644
--- a/src/promptflow/tests/sdk_cli_test/e2etests/test_cli.py
+++ b/src/promptflow/tests/sdk_cli_test/e2etests/test_cli.py
@@ -19,20 +19,19 @@
 import pytest
 
 from promptflow._cli._pf.entry import main
-from promptflow._constants import PF_USER_AGENT
-from promptflow._core.operation_context import OperationContext
+from promptflow._constants import LINE_NUMBER_KEY, PF_USER_AGENT
 from promptflow._sdk._constants import LOGGER_NAME, SCRUBBED_VALUE, ExperimentStatus
 from promptflow._sdk._errors import RunNotFoundError
-from promptflow._sdk._utils import ClientUserAgentUtil, setup_user_agent_to_operation_context
 from promptflow._sdk.operations._local_storage_operations import LocalStorageOperations
 from promptflow._sdk.operations._run_operations import RunOperations
 from promptflow._utils.context_utils import _change_working_dir
+from promptflow._utils.user_agent_utils import ClientUserAgentUtil, setup_user_agent_to_operation_context
 from promptflow._utils.utils import environment_variable_overwrite, parse_ua_to_dict
 from promptflow._utils.yaml_utils import dump_yaml, load_yaml
-
-from ..recording_utilities import is_live
+from promptflow.tracing._operation_context import OperationContext
 
 FLOWS_DIR = "./tests/test_configs/flows"
+EAGER_FLOWS_DIR = "./tests/test_configs/eager_flows"
 EXPERIMENT_DIR = "./tests/test_configs/experiments"
 RUNS_DIR = "./tests/test_configs/runs"
 CONNECTIONS_DIR = "./tests/test_configs/connections"
@@ -577,7 +576,7 @@ def test_pf_flow_test_with_symbolic(self, prepare_symbolic_flow):
         ],
     )
     def test_flow_test_with_environment_variable(self, flow_folder_name, env_key, except_value, local_client):
-        from promptflow._sdk._submitter.utils import SubmitterHelper
+        from promptflow._sdk._orchestrator.utils import SubmitterHelper
 
         def validate_stdout(detail_path):
             with open(detail_path, "r") as f:
@@ -1942,7 +1941,7 @@ def test_experiment_hide_by_default(self, monkeypatch, capfd):
                 f"{EXPERIMENT_DIR}/basic-no-script-template/basic.exp.yaml",
             )
 
-    @pytest.mark.skipif(condition=not is_live(), reason="Injection cannot passed to detach process.")
+    @pytest.mark.skipif(condition=not pytest.is_live, reason="Injection cannot passed to detach process.")
     @pytest.mark.usefixtures("setup_experiment_table")
     def test_experiment_start(self, monkeypatch, capfd, local_client):
         def wait_for_experiment_terminated(experiment_name):
@@ -1982,21 +1981,23 @@ def wait_for_experiment_terminated(experiment_name):
             metrics = local_client.runs.get_metrics(name=exp.node_runs["eval"][0]["name"])
             assert "accuracy" in metrics
 
-    @pytest.mark.skipif(condition=not is_live(), reason="Injection cannot passed to detach process.")
+    @pytest.mark.skipif(condition=not pytest.is_live, reason="Injection cannot passed to detach process.")
     @pytest.mark.usefixtures("setup_experiment_table")
     def test_experiment_start_anonymous_experiment(self, monkeypatch, local_client):
-        from promptflow._sdk._load_functions import _load_experiment
-
         with mock.patch("promptflow._sdk._configuration.Configuration.is_internal_features_enabled") as mock_func:
-            mock_func.return_value = True
-            experiment_file = f"{EXPERIMENT_DIR}/basic-script-template/basic-script.exp.yaml"
-            run_pf_command("experiment", "start", "--file", experiment_file, "--stream")
-            experiment = _load_experiment(source=experiment_file)
-            exp = local_client._experiments.get(name=experiment.name)
-            assert len(exp.node_runs) == 4
-            assert all(len(exp.node_runs[node_name]) > 0 for node_name in exp.node_runs)
-            metrics = local_client.runs.get_metrics(name=exp.node_runs["eval"][0]["name"])
-            assert "accuracy" in metrics
+            from promptflow._sdk.entities._experiment import Experiment
+
+            with mock.patch.object(Experiment, "_generate_name") as mock_generate_name:
+                experiment_name = str(uuid.uuid4())
+                mock_generate_name.return_value = experiment_name
+                mock_func.return_value = True
+                experiment_file = f"{EXPERIMENT_DIR}/basic-script-template/basic-script.exp.yaml"
+                run_pf_command("experiment", "start", "--template", experiment_file, "--stream")
+                exp = local_client._experiments.get(name=experiment_name)
+                assert len(exp.node_runs) == 4
+                assert all(len(exp.node_runs[node_name]) > 0 for node_name in exp.node_runs)
+                metrics = local_client.runs.get_metrics(name=exp.node_runs["eval"][0]["name"])
+                assert "accuracy" in metrics
 
     @pytest.mark.usefixtures("setup_experiment_table", "recording_injection")
     def test_experiment_test(self, monkeypatch, capfd, local_client, tmpdir):
@@ -2117,6 +2118,49 @@ def test_flow_run_resume_from(self, capfd, local_client) -> None:
         assert run.tags == {"A": "A", "B": "B"}
         assert run._resume_from == run_id
 
+    def test_flow_run_resume_partially_failed_run(self, capfd, local_client) -> None:
+        run_id = str(uuid.uuid4())
+        data_path = f"{DATAS_DIR}/simple_hello_world_multi_lines.jsonl"
+        with open(data_path, "r") as f:
+            total_lines = len(f.readlines())
+        # fetch std out
+        run_pf_command(
+            "run",
+            "create",
+            "--flow",
+            f"{FLOWS_DIR}/simple_hello_world_random_fail",
+            "--data",
+            data_path,
+            "--name",
+            run_id,
+        )
+        out, _ = capfd.readouterr()
+        assert "Completed" in out
+
+        def get_successful_lines(output_path):
+            with open(Path(output_path) / "outputs.jsonl", "r") as f:
+                return set(map(lambda x: x[LINE_NUMBER_KEY], map(json.loads, f.readlines())))
+
+        completed_line_set = set()
+        while True:
+            run = local_client.runs.get(name=run_id)
+            new_completed_line_set = get_successful_lines(run.properties["output_path"])
+            if len(new_completed_line_set) == total_lines:
+                break
+            assert new_completed_line_set.issuperset(completed_line_set), "successful lines should be increasing"
+            completed_line_set = new_completed_line_set
+
+            new_run_id = str(uuid.uuid4())
+            run_pf_command(
+                "run",
+                "create",
+                "--resume-from",
+                run_id,
+                "--name",
+                new_run_id,
+            )
+            run_id = new_run_id
+
     def test_flow_run_exclusive_param(self, capfd) -> None:
         # fetch std out
         with pytest.raises(SystemExit):
@@ -2130,3 +2174,65 @@ def test_flow_run_exclusive_param(self, capfd) -> None:
             )
         out, _ = capfd.readouterr()
         assert "More than one is provided for exclusive options" in out
+
+    def test_pf_test_interactive_with_non_string_streaming_output(self, monkeypatch, capsys):
+        flow_dir = Path(f"{FLOWS_DIR}/chat_flow_with_non_string_stream_output")
+        # mock user input with pop so make chat list reversed
+        chat_list = ["what is chat gpt?", "hi"]
+
+        def mock_input(*args, **kwargs):
+            if chat_list:
+                return chat_list.pop()
+            else:
+                raise KeyboardInterrupt()
+
+        monkeypatch.setattr("builtins.input", mock_input)
+        run_pf_command(
+            "flow",
+            "test",
+            "--flow",
+            flow_dir.as_posix(),
+            "--interactive",
+            "--verbose",
+        )
+        output_path = Path(flow_dir) / ".promptflow" / "chat.output.json"
+        assert output_path.exists()
+        detail_path = Path(flow_dir) / ".promptflow" / "chat.detail.json"
+        assert detail_path.exists()
+
+    def test_pf_run_with_init(self, pf):
+
+        run_id = str(uuid.uuid4())
+        run_pf_command(
+            "run",
+            "create",
+            "--flow",
+            f"{EAGER_FLOWS_DIR}/basic_callable_class",
+            "--data",
+            f"{EAGER_FLOWS_DIR}/basic_callable_class/inputs.jsonl",
+            "--name",
+            run_id,
+            "--init",
+            "obj_input=val",
+        )
+
+        def assert_func(details_dict):
+            return details_dict["outputs.func_input"] == [
+                "func_input",
+                "func_input",
+                "func_input",
+                "func_input",
+            ] and details_dict["outputs.obj_input"] == ["val", "val", "val", "val"]
+
+        # check run results
+        run = pf.runs.get(run_id)
+        assert_batch_run_result(run, pf, assert_func)
+
+
+def assert_batch_run_result(run, pf, assert_func):
+    assert run.status == "Completed"
+    assert "error" not in run._to_dict(), run._to_dict()["error"]
+    details = pf.get_details(run.name)
+    # convert DataFrame to dict
+    details_dict = details.to_dict(orient="list")
+    assert assert_func(details_dict), details_dict
diff --git a/src/promptflow/tests/sdk_cli_test/e2etests/test_cli_perf.py b/src/promptflow/tests/sdk_cli_test/e2etests/test_cli_perf.py
index aafcd00b9ed..9077a28897e 100644
--- a/src/promptflow/tests/sdk_cli_test/e2etests/test_cli_perf.py
+++ b/src/promptflow/tests/sdk_cli_test/e2etests/test_cli_perf.py
@@ -13,7 +13,7 @@
 
 from promptflow._cli._user_agent import USER_AGENT as CLI_USER_AGENT  # noqa: E402
 from promptflow._sdk._telemetry import log_activity
-from promptflow._sdk._utils import ClientUserAgentUtil
+from promptflow._utils.user_agent_utils import ClientUserAgentUtil
 
 FLOWS_DIR = "./tests/test_configs/flows"
 CONNECTIONS_DIR = "./tests/test_configs/connections"
diff --git a/src/promptflow/tests/sdk_cli_test/e2etests/test_csharp_cli.py b/src/promptflow/tests/sdk_cli_test/e2etests/test_csharp_cli.py
index 68a03de5dbb..b6de9bbc6b8 100644
--- a/src/promptflow/tests/sdk_cli_test/e2etests/test_csharp_cli.py
+++ b/src/promptflow/tests/sdk_cli_test/e2etests/test_csharp_cli.py
@@ -57,6 +57,18 @@ def test_pf_flow_test_eager_mode(self):
             "topic=promptflow",
         )
 
+    def test_pf_run_create_with_connection_override(self):
+        run_pf_command(
+            "run",
+            "create",
+            "--flow",
+            f"{get_repo_base_path()}\\examples\\BasicWithBuiltinLLM\\bin\\Debug\\net6.0",
+            "--data",
+            f"{get_repo_base_path()}\\examples\\BasicWithBuiltinLLM\\batchRunData.jsonl",
+            "--connections",
+            "get_answer.connection=azure_open_ai_connection",
+        )
+
     def test_flow_chat(self, monkeypatch, capsys):
         flow_dir = f"{get_repo_base_path()}\\src\\PromptflowCSharp\\Sample\\BasicChat\\bin\\Debug\\net6.0"
         # mock user input with pop so make chat list reversed
@@ -129,3 +141,6 @@ def mock_input(*args, **kwargs):
         outerr = capsys.readouterr()
         # Check node output
         assert "language model" in outerr.out
+
+    def test_flow_run_from_resume(self):
+        run_pf_command("run", "create", "--resume-from", "net6_0_variant_0_20240326_163600_356909")
diff --git a/src/promptflow/tests/sdk_cli_test/e2etests/test_experiment.py b/src/promptflow/tests/sdk_cli_test/e2etests/test_experiment.py
index 6af218f14da..4d25f168cbc 100644
--- a/src/promptflow/tests/sdk_cli_test/e2etests/test_experiment.py
+++ b/src/promptflow/tests/sdk_cli_test/e2etests/test_experiment.py
@@ -15,12 +15,10 @@
 from promptflow._sdk._constants import PF_TRACE_CONTEXT, ExperimentStatus, RunStatus, RunTypes
 from promptflow._sdk._errors import ExperimentValueError, RunOperationError
 from promptflow._sdk._load_functions import _load_experiment, load_common
+from promptflow._sdk._orchestrator.experiment_orchestrator import ExperimentOrchestrator, ExperimentTemplateTestContext
 from promptflow._sdk._pf_client import PFClient
-from promptflow._sdk._submitter.experiment_orchestrator import ExperimentOrchestrator
 from promptflow._sdk.entities._experiment import CommandNode, Experiment, ExperimentTemplate, FlowNode
 
-from ..recording_utilities import is_live
-
 TEST_ROOT = Path(__file__).parent.parent.parent
 EXP_ROOT = TEST_ROOT / "test_configs/experiments"
 FLOW_ROOT = TEST_ROOT / "test_configs/flows"
@@ -89,7 +87,7 @@ def test_experiment_start(self):
         client = PFClient()
         exp = client._experiments.create_or_update(experiment)
         session = str(uuid.uuid4())
-        if is_live():
+        if pytest.is_live:
             # Async start
             exp = client._experiments.start(exp, session=session)
             # Test the experiment in progress cannot be started.
@@ -118,7 +116,7 @@ def test_experiment_start(self):
         metrics = client.runs.get_metrics(name=eval_run.name)
         assert "accuracy" in metrics
         # Assert Trace
-        line_runs = client._traces.list_line_runs(session_id=session)
+        line_runs = client.traces.list_line_runs(collection=session)
         if len(line_runs) > 0:
             assert len(line_runs) == 3
             line_run = line_runs[0]
@@ -140,7 +138,7 @@ def test_experiment_with_script_start(self):
         experiment = Experiment.from_template(template)
         client = PFClient()
         exp = client._experiments.create_or_update(experiment)
-        if is_live():
+        if pytest.is_live:
             # Async start
             exp = client._experiments.start(exp)
             exp = self.wait_for_experiment_terminated(client, exp)
@@ -154,7 +152,7 @@ def test_experiment_with_script_start(self):
         run = client.runs.get(name=exp.node_runs["echo"][0]["name"])
         assert run.type == RunTypes.COMMAND
 
-    @pytest.mark.skipif(condition=not is_live(), reason="Injection cannot passed to detach process.")
+    @pytest.mark.skipif(condition=not pytest.is_live, reason="Injection cannot passed to detach process.")
     @pytest.mark.usefixtures("use_secrets_config_file", "recording_injection", "setup_local_connection")
     def test_experiment_start_from_nodes(self):
         template_path = EXP_ROOT / "basic-script-template" / "basic-script.exp.yaml"
@@ -189,7 +187,7 @@ def test_experiment_start_from_nodes(self):
         assert len(exp.node_runs["main"]) == 3
         assert len(exp.node_runs["echo"]) == 2
 
-    @pytest.mark.skipif(condition=not is_live(), reason="Injection cannot passed to detach process.")
+    @pytest.mark.skipif(condition=not pytest.is_live, reason="Injection cannot passed to detach process.")
     def test_cancel_experiment(self):
         template_path = EXP_ROOT / "command-node-exp-template" / "basic-command.exp.yaml"
         # Load template and create experiment
@@ -250,7 +248,7 @@ def _assert_result(result):
             # Assert session exists
             # TODO: Task 2942400, avoid sleep/if and assert traces
             time.sleep(10)  # TODO fix this
-            line_runs = client._traces.list_line_runs(session_id=session)
+            line_runs = client.traces.list_line_runs(collection=session)
             if len(line_runs) > 0:
                 assert len(line_runs) == 1
                 line_run = line_runs[0]
@@ -306,3 +304,33 @@ def test_experiment_with_script_run(self):
         assert len(exp.node_runs) == 4
         for key, val in exp.node_runs.items():
             assert val[0]["status"] == RunStatus.COMPLETED, f"Node {key} run failed"
+
+    @pytest.mark.skip("Enable when chat group node run is ready")
+    @pytest.mark.usefixtures("use_secrets_config_file", "recording_injection", "setup_local_connection")
+    def test_experiment_with_chat_group(self, pf: PFClient):
+        template_path = EXP_ROOT / "chat-group-node-exp-template" / "exp.yaml"
+        template = load_common(ExperimentTemplate, source=template_path)
+        experiment = Experiment.from_template(template)
+        exp = pf._experiments.create_or_update(experiment)
+
+        if pytest.is_live:
+            # Async start
+            exp = pf._experiments.start(exp)
+            exp = self.wait_for_experiment_terminated(pf, exp)
+        else:
+            exp = pf._experiments.get(exp.name)
+            exp = ExperimentOrchestrator(pf, exp).start()
+
+    @pytest.mark.usefixtures("use_secrets_config_file", "recording_injection", "setup_local_connection")
+    def test_experiment_test_chat_group_node(self, pf: PFClient):
+        template_path = EXP_ROOT / "chat-group-node-exp-template" / "exp.yaml"
+        template = load_common(ExperimentTemplate, source=template_path)
+        orchestrator = ExperimentOrchestrator(pf)
+        test_context = ExperimentTemplateTestContext(template=template)
+        chat_group_node = template.nodes[0]
+        assert chat_group_node.name == "multi_turn_chat"
+
+        history = orchestrator._test_node(chat_group_node, test_context)
+        assert len(history) == 4
+        assert history[0][0] == history[2][0] == "assistant"
+        assert history[1][0] == history[3][0] == "user"
diff --git a/src/promptflow/tests/sdk_cli_test/e2etests/test_flow_as_func.py b/src/promptflow/tests/sdk_cli_test/e2etests/test_flow_as_func.py
index 71d3206d210..32d3dc12508 100644
--- a/src/promptflow/tests/sdk_cli_test/e2etests/test_flow_as_func.py
+++ b/src/promptflow/tests/sdk_cli_test/e2etests/test_flow_as_func.py
@@ -14,7 +14,7 @@
 from promptflow import load_flow
 from promptflow._sdk._errors import ConnectionNotFoundError, InvalidFlowError
 from promptflow._sdk.entities import CustomConnection
-from promptflow._sdk.operations._flow_context_resolver import FlowContextResolver
+from promptflow._sdk.entities._flow._flow_context_resolver import FlowContextResolver
 from promptflow._utils.flow_utils import dump_flow_dag, load_flow_dag
 from promptflow.entities import FlowContext
 from promptflow.exceptions import UserErrorException
@@ -52,15 +52,17 @@ def test_flow_as_a_func(self, test_folder):
         ],
     )
     async def test_flow_as_a_func_asynckw(self, async_call_folder):
-        f = load_flow(async_call_folder, is_async_call=True)
+        from promptflow.core._flow import AsyncFlow
+
+        f = AsyncFlow.load(async_call_folder)
         result = await f(key="PATH")
         assert result["output"] is not None
 
     @pytest.mark.asyncio
     async def test_flow_as_a_func_real_async(self):
-        from promptflow._sdk.entities._flow import AsyncProtectedFlow
+        from promptflow.core._flow import AsyncFlow
 
-        original_async_func = AsyncProtectedFlow.invoke_async
+        original_async_func = AsyncFlow.invoke
 
         # Modify the original function and retrieve the time info.
         run_info_group = []
@@ -73,9 +75,9 @@ async def parse_invoke_async(*args, **kwargs):
             node_run_infos_group.append(obj.node_run_infos)
             return obj
 
-        with mock.patch("promptflow._sdk.entities._flow.AsyncProtectedFlow.invoke_async", parse_invoke_async):
-            f_async_tools = load_flow(f"{FLOWS_DIR}/async_tools", is_async_call=True)
-            f_env_var_async = load_flow(f"{FLOWS_DIR}/print_env_var_async", is_async_call=True)
+        with mock.patch("promptflow.core._flow.AsyncFlow.invoke", parse_invoke_async):
+            f_async_tools = AsyncFlow.load(f"{FLOWS_DIR}/async_tools")
+            f_env_var_async = AsyncFlow.load(f"{FLOWS_DIR}/print_env_var_async")
 
             time_start = datetime.now()
             results = await asyncio.gather(
@@ -123,7 +125,7 @@ def test_flow_as_a_func_with_connection_obj(self):
         f.context.connections = {"hello_node": {"connection": CustomConnection(secrets={"k": "v"})}}
 
         result = f(text="hello")
-        assert result["output"]["secrets"] == {"k": "v"}
+        assert result["output"] == {"k": "v"}
 
     def test_overrides(self):
         f = load_flow(f"{FLOWS_DIR}/print_env_var")
diff --git a/src/promptflow/tests/sdk_cli_test/e2etests/test_flow_local_operations.py b/src/promptflow/tests/sdk_cli_test/e2etests/test_flow_local_operations.py
index c535cbad228..49ca3f11584 100644
--- a/src/promptflow/tests/sdk_cli_test/e2etests/test_flow_local_operations.py
+++ b/src/promptflow/tests/sdk_cli_test/e2etests/test_flow_local_operations.py
@@ -495,3 +495,11 @@ def test_eager_flow_validate(self, pf):
             pf.flows.validate(flow=source, raise_error=True)
 
         assert "Entry function my_func is not valid." in str(e.value)
+
+    def test_flow_generate_tools_meta_for_flex_flow(self, pf) -> None:
+        source = f"{EAGER_FLOWS_DIR}/simple_with_yaml"
+
+        tools_meta, tools_error = pf.flows._generate_tools_meta(source)
+        assert tools_error == {}
+        assert tools_meta["package"] == {}
+        assert tools_meta["code"] == {}
diff --git a/src/promptflow/tests/sdk_cli_test/e2etests/test_flow_run.py b/src/promptflow/tests/sdk_cli_test/e2etests/test_flow_run.py
index 25ef12d8772..521313b1c82 100644
--- a/src/promptflow/tests/sdk_cli_test/e2etests/test_flow_run.py
+++ b/src/promptflow/tests/sdk_cli_test/e2etests/test_flow_run.py
@@ -29,11 +29,13 @@
     RunNotFoundError,
 )
 from promptflow._sdk._load_functions import load_flow, load_run
+from promptflow._sdk._orchestrator.utils import SubmitterHelper
 from promptflow._sdk._run_functions import create_yaml_run
-from promptflow._sdk._submitter.utils import SubmitterHelper
-from promptflow._sdk._utils import _get_additional_includes
+from promptflow._sdk._utils import _get_additional_includes, parse_otel_span_status_code
 from promptflow._sdk.entities import Run
 from promptflow._sdk.operations._local_storage_operations import LocalStorageOperations
+from promptflow._utils.context_utils import _change_working_dir, inject_sys_path
+from promptflow._utils.yaml_utils import load_yaml
 from promptflow.connections import AzureOpenAIConnection
 from promptflow.exceptions import UserErrorException
 
@@ -48,6 +50,14 @@
 DATAS_DIR = "./tests/test_configs/datas"
 
 
+def my_entry(input1: str):
+    return input1
+
+
+async def my_async_entry(input2: str):
+    return input2
+
+
 def create_run_against_multi_line_data(client) -> Run:
     return client.run(
         flow=f"{FLOWS_DIR}/web_classification",
@@ -224,7 +234,7 @@ def test_basic_flow_with_variant(self, azure_open_ai_connection: AzureOpenAIConn
 
     def test_run_bulk_error(self, pf):
         # path not exist
-        with pytest.raises(FileNotFoundError) as e:
+        with pytest.raises(UserErrorException) as e:
             pf.run(
                 flow=f"{MODEL_ROOT}/not_exist",
                 data=f"{DATAS_DIR}/webClassification3.jsonl",
@@ -359,7 +369,7 @@ def test_custom_connection_overwrite(self, local_client, local_custom_connection
                 data=f"{DATAS_DIR}/env_var_names.jsonl",
                 connections={"print_env": {"new_connection": "test_custom_connection"}},
             )
-        assert "Connection with name new_connection not found" in str(e.value)
+        assert "Unsupported llm connection overwrite keys" in str(e.value)
 
     def test_basic_flow_with_package_tool_with_custom_strong_type_connection(
         self, install_custom_tool_pkg, local_client, pf
@@ -1249,15 +1259,139 @@ def test_flow_with_nan_inf_metrics(self, pf: PFClient, monkeypatch) -> None:
 
         monkeypatch.delenv("PF_BATCH_METHOD")
 
-    @pytest.mark.skip("Won't support this kind of usage.")
     def test_eager_flow_run_without_yaml(self, pf):
-        flow_path = Path(f"{EAGER_FLOWS_DIR}/simple_without_yaml/entry.py")
         run = pf.run(
-            flow=flow_path,
-            entry="my_flow",
+            flow="entry:my_flow",
+            code=f"{EAGER_FLOWS_DIR}/simple_without_yaml",
+            data=f"{DATAS_DIR}/simple_eager_flow_data.jsonl",
+        )
+        assert run.status == "Completed"
+        assert "error" not in run._to_dict()
+        # will create a YAML in run snapshot
+        local_storage = LocalStorageOperations(run=run)
+        assert local_storage._dag_path.exists()
+        # the YAML file will not exist in user's folder
+        assert not Path(f"{EAGER_FLOWS_DIR}/simple_without_yaml/flow.dag.yaml").exists()
+
+    def test_eager_flow_yaml_override(self, pf):
+        run = pf.run(
+            flow="entry2:my_flow2",
+            code=f"{EAGER_FLOWS_DIR}/multiple_entries",
             data=f"{DATAS_DIR}/simple_eager_flow_data.jsonl",
         )
         assert run.status == "Completed"
+        assert "error" not in run._to_dict()
+        # will create a YAML in run snapshot
+        local_storage = LocalStorageOperations(run=run)
+        assert local_storage._dag_path.exists()
+        # original YAMl content not changed
+        original_dict = load_yaml(f"{EAGER_FLOWS_DIR}/multiple_entries/flow.dag.yaml")
+        assert original_dict["entry"] == "entry1:my_flow1"
+
+        # actual result will be entry2:my_flow2
+        details = pf.get_details(run.name)
+        # convert DataFrame to dict
+        details_dict = details.to_dict(orient="list")
+        assert details_dict == {"inputs.line_number": [0], "outputs.output": ["entry2flow2"]}
+
+    def test_flex_flow_with_func(self, pf):
+        run = pf.run(
+            flow=my_entry,
+            data=f"{DATAS_DIR}/simple_eager_flow_data.jsonl",
+            # set code folder to avoid snapshot too big
+            code=f"{EAGER_FLOWS_DIR}/multiple_entries",
+            column_mapping={"input1": "${data.input_val}"},
+        )
+        assert run.status == "Completed"
+        assert "error" not in run._to_dict()
+
+        # actual result will be entry2:my_flow2
+        details = pf.get_details(run.name)
+        # convert DataFrame to dict
+        details_dict = details.to_dict(orient="list")
+        assert details_dict == {"inputs.input1": ["input1"], "inputs.line_number": [0], "outputs.output": ["input1"]}
+
+        run = pf.run(
+            flow=my_async_entry,
+            data=f"{DATAS_DIR}/simple_eager_flow_data.jsonl",
+            # set code folder to avoid snapshot too big
+            code=f"{EAGER_FLOWS_DIR}/multiple_entries",
+            column_mapping={"input2": "${data.input_val}"},
+        )
+        assert run.status == "Completed"
+        assert "error" not in run._to_dict()
+
+        # actual result will be entry2:my_flow2
+        details = pf.get_details(run.name)
+        # convert DataFrame to dict
+        details_dict = details.to_dict(orient="list")
+        assert details_dict == {"inputs.input2": ["input1"], "inputs.line_number": [0], "outputs.output": ["input1"]}
+
+    def test_flex_flow_with_local_imported_func(self, pf):
+        # run eager flow against a function from local file
+        with inject_sys_path(f"{EAGER_FLOWS_DIR}/multiple_entries"):
+            from entry2 import my_flow2
+
+            run = pf.run(
+                flow=my_flow2,
+                data=f"{DATAS_DIR}/simple_eager_flow_data.jsonl",
+                # set code folder to avoid snapshot too big
+                code=f"{EAGER_FLOWS_DIR}/multiple_entries",
+                column_mapping={"input1": "${data.input_val}"},
+            )
+            assert run.status == "Completed"
+            assert "error" not in run._to_dict()
+
+            # actual result will be entry2:my_flow2
+            details = pf.get_details(run.name)
+            # convert DataFrame to dict
+            details_dict = details.to_dict(orient="list")
+            assert details_dict == {
+                "inputs.input1": ["input1"],
+                "inputs.line_number": [0],
+                "outputs.output": ["entry2flow2"],
+            }
+
+    def test_flex_flow_with_imported_func(self, pf):
+        # run eager flow against a function from module
+        run = pf.run(
+            flow=parse_otel_span_status_code,
+            data=f"{DATAS_DIR}/simple_eager_flow_data.jsonl",
+            # set code folder to avoid snapshot too big
+            code=f"{EAGER_FLOWS_DIR}/multiple_entries",
+            column_mapping={"value": "${data.input_val}"},
+        )
+        assert run.status == "Completed"
+        assert "error" not in run._to_dict()
+
+        # actual result will be entry2:my_flow2
+        details = pf.get_details(run.name)
+        # convert DataFrame to dict
+        details_dict = details.to_dict(orient="list")
+        assert details_dict == {"inputs.line_number": [0], "inputs.value": ["input1"], "outputs.output": ["Error"]}
+
+    def test_eager_flow_run_in_working_dir(self, pf):
+        working_dir = f"{EAGER_FLOWS_DIR}/multiple_entries"
+        with _change_working_dir(working_dir):
+            run = pf.run(
+                flow="entry2:my_flow1",
+                data="../../datas/simple_eager_flow_data.jsonl",
+            )
+            assert run.status == "Completed"
+            assert "error" not in run._to_dict()
+
+        # will create a YAML in run snapshot
+        local_storage = LocalStorageOperations(run=run)
+        assert local_storage._dag_path.exists()
+        # original YAMl content not changed
+        original_dict = load_yaml(f"{EAGER_FLOWS_DIR}/multiple_entries/flow.dag.yaml")
+        assert original_dict["entry"] == "entry1:my_flow1"
+
+        # actual result will be entry2:my_flow2
+        details = pf.get_details(run.name)
+        # convert DataFrame to dict
+        details_dict = details.to_dict(orient="list")
+        assert details_dict == {"inputs.line_number": [0], "outputs.output": ["entry2flow1"]}
 
     def test_eager_flow_run_with_yaml(self, pf):
         flow_path = Path(f"{EAGER_FLOWS_DIR}/simple_with_yaml")
@@ -1359,3 +1493,200 @@ def test_eager_flow_run_with_evc(self, pf):
         # convert DataFrame to dict
         details_dict = details.to_dict(orient="list")
         assert details_dict == {"inputs.line_number": [0], "outputs.output": ["Hello world! azure"]}
+
+    def test_run_with_deployment_overwrite(self, pf):
+        run = pf.run(
+            flow=f"{FLOWS_DIR}/python_tool_deployment_name",
+            data=f"{DATAS_DIR}/env_var_names.jsonl",
+            column_mapping={"key": "${data.key}"},
+            connections={"print_env": {"deployment_name": "my_deployment_name", "model": "my_model"}},
+        )
+        run_dict = run._to_dict()
+        assert "error" not in run_dict, run_dict["error"]
+        details = pf.get_details(run.name)
+        # convert DataFrame to dict
+        details_dict = details.to_dict(orient="list")
+        assert details_dict == {
+            "inputs.key": ["API_BASE"],
+            "inputs.line_number": [0],
+            "outputs.output": [{"deployment_name": "my_deployment_name", "model": "my_model"}],
+        }
+
+        # TODO(3021931): this should fail.
+        run = pf.run(
+            flow=f"{FLOWS_DIR}/deployment_name_not_enabled",
+            data=f"{DATAS_DIR}/env_var_names.jsonl",
+            column_mapping={"env": "${data.key}"},
+            connections={"print_env": {"deployment_name": "my_deployment_name", "model": "my_model"}},
+        )
+        run_dict = run._to_dict()
+        assert "error" not in run_dict, run_dict["error"]
+
+    def test_deployment_overwrite_failure(self, local_client, local_aoai_connection, pf):
+        # deployment name not exist
+        run = pf.run(
+            flow=f"{FLOWS_DIR}/web_classification",
+            data=f"{DATAS_DIR}/webClassification1.jsonl",
+            connections={"classify_with_llm": {"deployment_name": "not_exist"}},
+        )
+        run_dict = run._to_dict()
+        assert "error" in run_dict
+        assert "The API deployment for this resource does not exist." in run_dict["error"]["message"]
+
+        # deployment name not a param
+        run = pf.run(
+            flow=f"{FLOWS_DIR}/print_env_var",
+            data=f"{DATAS_DIR}/env_var_names.jsonl",
+            connections={"print_env": {"deployment_name": "not_exist"}},
+        )
+        run_dict = run._to_dict()
+        assert "error" in run_dict
+        assert "get_env_var() got an unexpected keyword argument" in run_dict["error"]["message"]
+
+    def test_shadow_evc(self, pf):
+        # run without env override will fail
+        with pytest.raises(ConnectionNotFoundError):
+            pf.run(
+                flow=f"{FLOWS_DIR}/evc_connection_not_exist",
+                data=f"{DATAS_DIR}/env_var_names.jsonl",
+            )
+        # won't fail with connection not found
+        run = pf.run(
+            flow=f"{FLOWS_DIR}/evc_connection_not_exist",
+            data=f"{DATAS_DIR}/env_var_names.jsonl",
+            environment_variables={"API_BASE": "VAL"},
+        )
+        assert run.status == "Completed"
+        assert "error" not in run._to_dict()
+        details = pf.get_details(run.name)
+        # convert DataFrame to dict
+        details_dict = details.to_dict(orient="list")
+        assert details_dict == {"inputs.key": ["API_BASE"], "inputs.line_number": [0], "outputs.output": ["VAL"]}
+
+    def test_shadow_evc_flex_flow(self, pf):
+        flow_path = Path(f"{EAGER_FLOWS_DIR}/evc_connection_not_exist")
+
+        # run without env override will fail
+        with pytest.raises(ConnectionNotFoundError):
+            pf.run(
+                flow=flow_path,
+                data=f"{DATAS_DIR}/simple_eager_flow_data.jsonl",
+            )
+
+        # won't fail in flex flow
+        run = pf.run(
+            flow=flow_path,
+            data=f"{DATAS_DIR}/simple_eager_flow_data.jsonl",
+            environment_variables={"TEST": "VAL"},
+        )
+        assert run.status == "Completed"
+        assert "error" not in run._to_dict()
+        details = pf.get_details(run.name)
+        # convert DataFrame to dict
+        details_dict = details.to_dict(orient="list")
+        assert details_dict == {"inputs.line_number": [0], "outputs.output": ["Hello world! VAL"]}
+
+    def test_eager_flow_evc_override(self, pf):
+        # resolve evc when used same name as flow's evc
+        flow_path = Path(f"{EAGER_FLOWS_DIR}/print_environment_variables")
+        run = pf.run(
+            flow=flow_path,
+            data=f"{DATAS_DIR}/env_var_test.jsonl",
+            environment_variables={"TEST": "${azure_open_ai_connection.api_type}"},
+        )
+        assert run.status == "Completed"
+        assert "error" not in run._to_dict(), run._to_dict()["error"]
+        details = pf.get_details(run.name)
+        # convert DataFrame to dict
+        details_dict = details.to_dict(orient="list")
+        assert details_dict == {
+            "inputs.key": ["TEST"],
+            "inputs.line_number": [0],
+            "outputs.output": ["Hello world! azure"],
+        }
+
+        # won't get connection & resolve when added new env var names
+        flow_path = Path(f"{EAGER_FLOWS_DIR}/print_environment_variables")
+        run = pf.run(
+            flow=flow_path,
+            data=f"{DATAS_DIR}/env_var_new_key.jsonl",
+            environment_variables={"NEW_KEY": "${not_exist.api_type}"},
+        )
+        assert run.status == "Completed"
+        assert "error" not in run._to_dict(), run._to_dict()["error"]
+        details = pf.get_details(run.name)
+        # convert DataFrame to dict
+        details_dict = details.to_dict(orient="list")
+        assert details_dict == {
+            "inputs.key": ["NEW_KEY"],
+            "inputs.line_number": [0],
+            "outputs.output": ["Hello world! ${not_exist.api_type}"],
+        }
+
+    def test_run_with_non_provided_connection_override(self, pf, local_custom_connection):
+        # override non-provided connection when submission
+        run = pf.run(
+            flow=f"{FLOWS_DIR}/connection_not_provided",
+            data=f"{DATAS_DIR}/env_var_names.jsonl",
+            column_mapping={"key": "${data.key}"},
+            connections={"print_env": {"connection": "test_custom_connection"}},
+        )
+        run_dict = run._to_dict()
+        assert "error" not in run_dict, run_dict["error"]
+        details = pf.get_details(run.name)
+        # convert DataFrame to dict
+        details_dict = details.to_dict(orient="list")
+        assert details_dict == {
+            "inputs.key": ["API_BASE"],
+            "inputs.line_number": [0],
+            "outputs.output": [{"connection": "Custom", "key": "API_BASE"}],
+        }
+
+    def test_run_with_non_provided_connection_override_list_annotation(self, pf, local_custom_connection):
+        # override non-provided connection when submission
+        run = pf.run(
+            flow=f"{FLOWS_DIR}/list_connection_not_provided",
+            data=f"{DATAS_DIR}/env_var_names.jsonl",
+            column_mapping={"key": "${data.key}"},
+            connections={"print_env": {"connection": "test_custom_connection"}},
+        )
+        run_dict = run._to_dict()
+        assert "error" not in run_dict, run_dict["error"]
+        details = pf.get_details(run.name)
+        # convert DataFrame to dict
+        details_dict = details.to_dict(orient="list")
+        assert details_dict == {
+            "inputs.key": ["API_BASE"],
+            "inputs.line_number": [0],
+            "outputs.output": [{"connection": "Custom", "key": "API_BASE"}],
+        }
+
+    def test_run_with_init(self, pf):
+        def assert_func(details_dict):
+            return details_dict["outputs.func_input"] == [
+                "func_input",
+                "func_input",
+                "func_input",
+                "func_input",
+            ] and details_dict["outputs.obj_input"] == ["val", "val", "val", "val"]
+
+        flow_path = Path(f"{EAGER_FLOWS_DIR}/basic_callable_class")
+        run = pf.run(
+            flow=flow_path, data=f"{EAGER_FLOWS_DIR}/basic_callable_class/inputs.jsonl", init={"obj_input": "val"}
+        )
+        assert_batch_run_result(run, pf, assert_func)
+
+        run = load_run(
+            source=f"{EAGER_FLOWS_DIR}/basic_callable_class/run.yaml",
+        )
+        run = pf.runs.create_or_update(run=run)
+        assert_batch_run_result(run, pf, assert_func)
+
+
+def assert_batch_run_result(run: Run, pf: PFClient, assert_func):
+    assert run.status == "Completed"
+    assert "error" not in run._to_dict(), run._to_dict()["error"]
+    details = pf.get_details(run.name)
+    # convert DataFrame to dict
+    details_dict = details.to_dict(orient="list")
+    assert assert_func(details_dict), details_dict
diff --git a/src/promptflow/tests/sdk_cli_test/e2etests/test_flow_serve.py b/src/promptflow/tests/sdk_cli_test/e2etests/test_flow_serve.py
index 9c3a8658a67..7c322bd65a0 100644
--- a/src/promptflow/tests/sdk_cli_test/e2etests/test_flow_serve.py
+++ b/src/promptflow/tests/sdk_cli_test/e2etests/test_flow_serve.py
@@ -3,15 +3,22 @@
 import re
 
 import pytest
+from opentelemetry import trace
+from opentelemetry.sdk.resources import SERVICE_NAME, Resource
+from opentelemetry.sdk.trace import TracerProvider
+from opentelemetry.sdk.trace.export import SimpleSpanProcessor
+from opentelemetry.sdk.trace.export.in_memory_span_exporter import InMemorySpanExporter
 
-from promptflow._core.operation_context import OperationContext
+from promptflow.core._serving.constants import FEEDBACK_TRACE_FIELD_NAME
+from promptflow.core._serving.utils import load_feedback_swagger
+from promptflow.tracing._operation_context import OperationContext
 
 
 @pytest.mark.usefixtures("recording_injection", "setup_local_connection")
 @pytest.mark.e2etest
 def test_swagger(flow_serving_client):
     swagger_dict = json.loads(flow_serving_client.get("/swagger.json").data.decode())
-    assert swagger_dict == {
+    expected_swagger = {
         "components": {"securitySchemes": {"bearerAuth": {"scheme": "bearer", "type": "http"}}},
         "info": {
             "title": "Promptflow[basic-with-connection] API",
@@ -54,13 +61,69 @@ def test_swagger(flow_serving_client):
         },
         "security": [{"bearerAuth": []}],
     }
+    feedback_swagger = load_feedback_swagger()
+    expected_swagger["paths"]["/feedback"] = feedback_swagger
+    assert swagger_dict == expected_swagger
+
+
+@pytest.mark.usefixtures("recording_injection", "setup_local_connection")
+@pytest.mark.e2etest
+def test_feedback_flatten(flow_serving_client):
+    resource = Resource(
+        attributes={
+            SERVICE_NAME: "promptflow",
+        }
+    )
+    trace.set_tracer_provider(TracerProvider(resource=resource))
+    provider = trace.get_tracer_provider()
+    exporter = InMemorySpanExporter()
+    provider.add_span_processor(SimpleSpanProcessor(exporter))
+    data_field_name = "comment"
+    feedback_data = {data_field_name: "positive"}
+    response = flow_serving_client.post("/feedback?flatten=true", data=json.dumps(feedback_data))
+    assert response.status_code == 200
+    spans = exporter.get_finished_spans()
+    assert len(spans) == 1
+    assert spans[0].attributes[data_field_name] == feedback_data[data_field_name]
+
+
+@pytest.mark.usefixtures("recording_injection", "setup_local_connection")
+@pytest.mark.e2etest
+def test_feedback_with_trace_context(flow_serving_client):
+    resource = Resource(
+        attributes={
+            SERVICE_NAME: "promptflow",
+        }
+    )
+    trace.set_tracer_provider(TracerProvider(resource=resource))
+    provider = trace.get_tracer_provider()
+    exporter = InMemorySpanExporter()
+    provider.add_span_processor(SimpleSpanProcessor(exporter))
+    feedback_data = json.dumps({"feedback": "positive"})
+    trace_ctx_version = "00"
+    trace_ctx_trace_id = "8a3c60f7d6e2f3b4a4f2f7f3f3f3f3f3"
+    trace_ctx_parent_id = "f3f3f3f3f3f3f3f3"
+    trace_ctx_flags = "01"
+    trace_parent = f"{trace_ctx_version}-{trace_ctx_trace_id}-{trace_ctx_parent_id}-{trace_ctx_flags}"
+    response = flow_serving_client.post(
+        "/feedback", headers={"traceparent": trace_parent, "baggage": "userId=alice"}, data=feedback_data
+    )
+    assert response.status_code == 200
+    spans = exporter.get_finished_spans()
+    assert len(spans) == 1
+    # validate trace context
+    assert spans[0].context.trace_id == int(trace_ctx_trace_id, 16)
+    assert spans[0].parent.span_id == int(trace_ctx_parent_id, 16)
+    # validate feedback data
+    assert feedback_data == spans[0].attributes[FEEDBACK_TRACE_FIELD_NAME]
+    assert spans[0].attributes["userId"] == "alice"
 
 
 @pytest.mark.usefixtures("recording_injection", "setup_local_connection")
 @pytest.mark.e2etest
 def test_chat_swagger(serving_client_llm_chat):
     swagger_dict = json.loads(serving_client_llm_chat.get("/swagger.json").data.decode())
-    assert swagger_dict == {
+    expected_swagger = {
         "components": {"securitySchemes": {"bearerAuth": {"scheme": "bearer", "type": "http"}}},
         "info": {
             "title": "Promptflow[chat_flow_with_stream_output] API",
@@ -113,6 +176,9 @@ def test_chat_swagger(serving_client_llm_chat):
         },
         "security": [{"bearerAuth": []}],
     }
+    feedback_swagger = load_feedback_swagger()
+    expected_swagger["paths"]["/feedback"] = feedback_swagger
+    assert swagger_dict == expected_swagger
 
 
 @pytest.mark.usefixtures("recording_injection", "setup_local_connection")
@@ -127,7 +193,7 @@ def test_user_agent(flow_serving_client):
 @pytest.mark.e2etest
 def test_serving_api(flow_serving_client):
     response = flow_serving_client.get("/health")
-    assert b'{"status":"Healthy","version":"0.0.1"}' in response.data
+    assert b"Healthy" in response.data
     response = flow_serving_client.get("/")
     print(response.data)
     assert response.status_code == 200
@@ -368,7 +434,7 @@ def test_eager_flow_serve(simple_eager_flow):
 @pytest.mark.e2etest
 def test_eager_flow_swagger(simple_eager_flow):
     swagger_dict = json.loads(simple_eager_flow.get("/swagger.json").data.decode())
-    assert swagger_dict == {
+    expected_swagger = {
         "components": {"securitySchemes": {"bearerAuth": {"scheme": "bearer", "type": "http"}}},
         "info": {
             "title": "Promptflow[simple_with_dict_output] API",
@@ -384,7 +450,7 @@ def test_eager_flow_swagger(simple_eager_flow):
                             "application/json": {
                                 "example": {},
                                 "schema": {
-                                    "properties": {"input_val": {"type": "string"}},
+                                    "properties": {"input_val": {"default": "gpt", "type": "string"}},
                                     "required": ["input_val"],
                                     "type": "object",
                                 },
@@ -414,6 +480,9 @@ def test_eager_flow_swagger(simple_eager_flow):
         },
         "security": [{"bearerAuth": []}],
     }
+    feedback_swagger = load_feedback_swagger()
+    expected_swagger["paths"]["/feedback"] = feedback_swagger
+    assert swagger_dict == expected_swagger
 
 
 @pytest.mark.e2etest
@@ -430,7 +499,7 @@ def test_eager_flow_serve_primitive_output(simple_eager_flow_primitive_output):
 @pytest.mark.e2etest
 def test_eager_flow_primitive_output_swagger(simple_eager_flow_primitive_output):
     swagger_dict = json.loads(simple_eager_flow_primitive_output.get("/swagger.json").data.decode())
-    assert swagger_dict == {
+    expected_swagger = {
         "components": {"securitySchemes": {"bearerAuth": {"scheme": "bearer", "type": "http"}}},
         "info": {"title": "Promptflow[primitive_output] API", "version": "1.0.0", "x-flow-name": "primitive_output"},
         "openapi": "3.0.0",
@@ -442,7 +511,7 @@ def test_eager_flow_primitive_output_swagger(simple_eager_flow_primitive_output)
                             "application/json": {
                                 "example": {},
                                 "schema": {
-                                    "properties": {"input_val": {"type": "string"}},
+                                    "properties": {"input_val": {"default": "gpt", "type": "string"}},
                                     "required": ["input_val"],
                                     "type": "object",
                                 },
@@ -469,6 +538,9 @@ def test_eager_flow_primitive_output_swagger(simple_eager_flow_primitive_output)
         },
         "security": [{"bearerAuth": []}],
     }
+    feedback_swagger = load_feedback_swagger()
+    expected_swagger["paths"]["/feedback"] = feedback_swagger
+    assert swagger_dict == expected_swagger
 
 
 @pytest.mark.e2etest
@@ -499,3 +571,125 @@ def test_eager_flow_serve_non_json_serializable_output(non_json_serializable_out
             "Please verify your flow output and make sure the value serializable.",
         }
     }
+
+
+@pytest.mark.e2etest
+@pytest.mark.parametrize(
+    "accept, expected_status_code, expected_content_type",
+    [
+        ("text/event-stream", 200, "text/event-stream; charset=utf-8"),
+        ("text/html", 406, "application/json"),
+        ("application/json", 200, "application/json"),
+        ("*/*", 200, "application/json"),
+        ("text/event-stream, application/json", 200, "text/event-stream; charset=utf-8"),
+        ("application/json, */*", 200, "application/json"),
+        ("", 200, "application/json"),
+    ],
+)
+def test_eager_flow_stream_output(
+    stream_output,
+    accept,
+    expected_status_code,
+    expected_content_type,
+):
+    payload = {
+        "input_val": "val",
+    }
+    headers = {
+        "Content-Type": "application/json",
+        "Accept": accept,
+    }
+    response = stream_output.post("/score", json=payload, headers=headers)
+    error_msg = f"Response code indicates error {response.status_code} - {response.data.decode()}"
+    assert response.status_code == expected_status_code, error_msg
+    assert response.content_type == expected_content_type
+
+    if response.status_code == 406:
+        assert response.json["error"]["code"] == "UserError"
+        assert (
+            f"Media type {accept} in Accept header is not acceptable. Supported media type(s) -"
+            in response.json["error"]["message"]
+        )
+
+    if "text/event-stream" in response.content_type:
+        for line in response.data.decode().split("\n"):
+            print(line)
+    else:
+        result = response.json
+        print(result)
+
+
+@pytest.mark.e2etest
+def test_eager_flow_multiple_stream_output(multiple_stream_outputs):
+    headers = {
+        "Content-Type": "application/json",
+        "Accept": "text/event-stream",
+    }
+    response = multiple_stream_outputs.post("/score", data=json.dumps({"input_val": 1}), headers=headers)
+    assert (
+        response.status_code == 400
+    ), f"Response code indicates error {response.status_code} - {response.data.decode()}"
+    response = json.loads(response.data.decode())
+    assert response == {"error": {"code": "UserError", "message": "Multiple stream output fields not supported."}}
+
+
+@pytest.mark.e2etest
+def test_eager_flow_evc(eager_flow_evc):
+    # Supported: flow with EVC in definition
+    response = eager_flow_evc.post("/score", data=json.dumps({}))
+    assert (
+        response.status_code == 200
+    ), f"Response code indicates error {response.status_code} - {response.data.decode()}"
+    response = json.loads(response.data.decode())
+    assert response == "Hello world! azure"
+
+
+@pytest.mark.e2etest
+def test_eager_flow_evc_override(eager_flow_evc_override):
+    # Supported: EVC's connection exist in flow definition
+    response = eager_flow_evc_override.post("/score", data=json.dumps({}))
+    assert (
+        response.status_code == 200
+    ), f"Response code indicates error {response.status_code} - {response.data.decode()}"
+    response = json.loads(response.data.decode())
+    assert response != "Hello world! ${azure_open_ai_connection.api_base}"
+
+
+@pytest.mark.e2etest
+def test_eager_flow_evc_override_not_exist(eager_flow_evc_override_not_exist):
+    # EVC's connection not exist in flow definition, will resolve it.
+    response = eager_flow_evc_override_not_exist.post("/score", data=json.dumps({}))
+    assert (
+        response.status_code == 200
+    ), f"Response code indicates error {response.status_code} - {response.data.decode()}"
+    response = json.loads(response.data.decode())
+    # EVC not resolved since the connection not exist in flow definition
+    assert response == "Hello world! azure"
+
+
+@pytest.mark.e2etest
+def test_eager_flow_evc_connection_not_exist(eager_flow_evc_connection_not_exist):
+    # Won't get not existed connection since it's override
+    response = eager_flow_evc_connection_not_exist.post("/score", data=json.dumps({}))
+    assert (
+        response.status_code == 200
+    ), f"Response code indicates error {response.status_code} - {response.data.decode()}"
+    response = json.loads(response.data.decode())
+    # EVC not resolved since the connection not exist in flow definition
+    assert response == "Hello world! VALUE"
+
+
+@pytest.mark.e2etest
+def test_eager_flow_with_init(callable_class):
+    response1 = callable_class.post("/score", data=json.dumps({"func_input": "input2"}))
+    assert (
+        response1.status_code == 200
+    ), f"Response code indicates error {response1.status_code} - {response1.data.decode()}"
+    response1 = json.loads(response1.data.decode())
+
+    response2 = callable_class.post("/score", data=json.dumps({"func_input": "input2"}))
+    assert (
+        response2.status_code == 200
+    ), f"Response code indicates error {response2.status_code} - {response2.data.decode()}"
+    response2 = json.loads(response2.data.decode())
+    assert response1 == response2
diff --git a/src/promptflow/tests/sdk_cli_test/e2etests/test_flow_serve_azureml_extension.py b/src/promptflow/tests/sdk_cli_test/e2etests/test_flow_serve_azureml_extension.py
index e3efb160a29..b03aee1e129 100644
--- a/src/promptflow/tests/sdk_cli_test/e2etests/test_flow_serve_azureml_extension.py
+++ b/src/promptflow/tests/sdk_cli_test/e2etests/test_flow_serve_azureml_extension.py
@@ -7,7 +7,7 @@
 @pytest.mark.e2etest
 def test_azureml_serving_api_with_encoded_connection(flow_serving_client_with_encoded_connection):
     response = flow_serving_client_with_encoded_connection.get("/health")
-    assert b'{"status":"Healthy","version":"0.0.1"}' in response.data
+    assert b"Healthy" in response.data
     response = flow_serving_client_with_encoded_connection.post("/score", data=json.dumps({"text": "hi"}))
     assert (
         response.status_code == 200
diff --git a/src/promptflow/tests/sdk_cli_test/e2etests/test_flow_test.py b/src/promptflow/tests/sdk_cli_test/e2etests/test_flow_test.py
index f9e06a9c1ce..f1a063e1d30 100644
--- a/src/promptflow/tests/sdk_cli_test/e2etests/test_flow_test.py
+++ b/src/promptflow/tests/sdk_cli_test/e2etests/test_flow_test.py
@@ -1,6 +1,7 @@
 import logging
 import sys
 import tempfile
+from dataclasses import is_dataclass
 from pathlib import Path
 from types import GeneratorType
 
@@ -10,6 +11,7 @@
 
 from promptflow._sdk._constants import LOGGER_NAME
 from promptflow._sdk._pf_client import PFClient
+from promptflow.core._utils import init_executable
 from promptflow.exceptions import UserErrorException
 
 PROMOTFLOW_ROOT = Path(__file__) / "../../../.."
@@ -320,7 +322,7 @@ def test_eager_flow_with_evc(self):
                 {
                     "entry": "entry:my_flow",
                     "function": "my_flow",
-                    "inputs": {"input_val": {"type": "string"}},
+                    "inputs": {"input_val": {"default": "gpt", "type": "string"}},
                     "outputs": {"output": {"type": "string"}},
                 },
             ),
@@ -329,7 +331,7 @@ def test_eager_flow_with_evc(self):
                 {
                     "entry": "my_module.entry:my_flow",
                     "function": "my_flow",
-                    "inputs": {"input_val": {"type": "string"}},
+                    "inputs": {"input_val": {"default": "gpt", "type": "string"}},
                     "outputs": {"output": {"type": "string"}},
                 },
             ),
@@ -338,7 +340,7 @@ def test_eager_flow_with_evc(self):
                 {
                     "entry": "flow:my_flow_entry",
                     "function": "my_flow_entry",
-                    "inputs": {"input_val": {"type": "string"}},
+                    "inputs": {"input_val": {"default": "gpt", "type": "string"}},
                     "outputs": {"output": {"type": "string"}},
                 },
             ),
@@ -358,13 +360,48 @@ def test_generate_flow_meta_exception(self):
         assert "Entry function my_func is not valid." in str(e.value)
 
     def test_init_executable(self):
-        from promptflow import load_flow
         from promptflow.contracts.flow import FlowInputDefinition, FlowOutputDefinition
 
         flow_path = Path(f"{EAGER_FLOWS_DIR}/simple_with_yaml").absolute()
-        flow = load_flow(flow_path)
-        executable = flow._init_executable()
+        executable = init_executable(flow_path=flow_path)
         # call values in executable.inputs are FlowInputDefinitions
         assert all([isinstance(value, FlowInputDefinition) for value in executable.inputs.values()])
         # call values in executable.outputs are FlowOutputDefinitions
         assert all([isinstance(value, FlowOutputDefinition) for value in executable.outputs.values()])
+
+    def test_eager_flow_stream_output(self):
+        flow_path = Path(f"{EAGER_FLOWS_DIR}/stream_output/").absolute()
+        result = _client._flows._test(flow=flow_path, inputs={})
+        assert result.run_info.status.value == "Completed", result.run_info.error
+        # directly return the consumed generator to align with the behavior of DAG flow test
+        assert result.output == "Hello world! "
+
+    def test_stream_output_with_builtin_llm(self):
+        flow_path = Path(f"{EAGER_FLOWS_DIR}/builtin_llm/").absolute()
+        result = _client._flows._test(
+            flow=flow_path,
+            inputs={"stream": True},
+            environment_variables={
+                "OPENAI_API_KEY": "${azure_open_ai_connection.api_key}",
+                "AZURE_OPENAI_ENDPOINT": "${azure_open_ai_connection.api_base}",
+            },
+        )
+        assert result.run_info.status.value == "Completed", result.run_info.error
+        # directly return the consumed generator to align with the behavior of DAG flow test
+        assert isinstance(result.output, str)
+
+    def test_eager_flow_multiple_stream_outputs(self):
+        flow_path = Path(f"{EAGER_FLOWS_DIR}/multiple_stream_outputs/").absolute()
+        result = _client._flows._test(flow=flow_path, inputs={})
+        assert result.run_info.status.value == "Completed", result.run_info.error
+        # directly return the consumed generator to align with the behavior of DAG flow test
+        assert result.output == {"output1": "0123456789", "output2": "0123456789"}
+
+    def test_eager_flow_multiple_stream_outputs_dataclass(self):
+        flow_path = Path(f"{EAGER_FLOWS_DIR}/multiple_stream_outputs_dataclass/").absolute()
+        result = _client._flows._test(flow=flow_path, inputs={})
+        assert result.run_info.status.value == "Completed", result.run_info.error
+        # directly return the consumed generator to align with the behavior of DAG flow test
+        assert is_dataclass(result.output)
+        assert result.output.output1 == "0123456789"
+        assert result.output.output2 == "0123456789"
diff --git a/src/promptflow/tests/sdk_cli_test/e2etests/test_orm.py b/src/promptflow/tests/sdk_cli_test/e2etests/test_orm.py
index c95c4d74ffc..db4f79381dd 100644
--- a/src/promptflow/tests/sdk_cli_test/e2etests/test_orm.py
+++ b/src/promptflow/tests/sdk_cli_test/e2etests/test_orm.py
@@ -5,15 +5,93 @@
 import datetime
 import json
 import uuid
+from collections import namedtuple
+from typing import Optional
 
 import pytest
 
 from promptflow._sdk._constants import ListViewType, RunStatus, RunTypes
 from promptflow._sdk._errors import RunNotFoundError
 from promptflow._sdk._orm import RunInfo
+from promptflow._sdk._orm.trace import Event, LineRun, Span
 
+SpanInfo = namedtuple("SpanInfo", ["trace_id", "span_id", "name"])
 
-@pytest.fixture()
+
+def persist_span(trace_id: str, span_id: str, name: str) -> None:
+    span = Span(
+        trace_id=trace_id,
+        span_id=span_id,
+        name=name,
+        context={
+            "trace_id": trace_id,
+            "span_id": span_id,
+            "trace_state": "",
+        },
+        kind="1",
+        parent_id=None,
+        start_time=datetime.datetime.now(),
+        end_time=datetime.datetime.now(),
+        status={
+            "status_code": "Ok",
+            "description": "",
+        },
+        attributes=None,
+        links=None,
+        events=None,
+        resource={
+            "attributes": {
+                "service.name": "promptflow",
+            },
+            "schema_url": "",
+        },
+    )
+    span.persist()
+
+
+def persist_event(trace_id: str, span_id: str, event_id: Optional[str] = None) -> str:
+    event_id = event_id or str(uuid.uuid4())
+    event = Event(
+        event_id=event_id,
+        trace_id=trace_id,
+        span_id=span_id,
+        data=str(uuid.uuid4()),
+    )
+    event.persist()
+    return event_id
+
+
+def persist_line_run(
+    trace_id: str,
+    root_span_id: str,
+    line_run_id: Optional[str] = None,
+    parent_id: Optional[str] = None,
+    run: Optional[str] = None,
+    line_number: Optional[int] = None,
+) -> str:
+    line_run_id = line_run_id or str(uuid.uuid4())
+    line_run = LineRun(
+        line_run_id=line_run_id,
+        trace_id=trace_id,
+        root_span_id=root_span_id,
+        inputs=dict(),
+        outputs=dict(),
+        start_time=datetime.datetime.now(),
+        end_time=datetime.datetime.now(),
+        status="Ok",
+        duration=3.14,
+        name=str(uuid.uuid4()),
+        kind="1",
+        collection=str(uuid.uuid4()),
+        parent_id=parent_id,
+        run=run,
+        line_number=line_number,
+    )
+    line_run.persist()
+    return line_run_id
+
+
+@pytest.fixture
 def run_name() -> str:
     name = str(uuid.uuid4())
     run_info = RunInfo(
@@ -30,6 +108,15 @@ def run_name() -> str:
     return name
 
 
+@pytest.fixture
+def mock_span() -> SpanInfo:
+    trace_id = str(uuid.uuid4())
+    span_id = str(uuid.uuid4())
+    name = f"mock_span_{uuid.uuid4()}"
+    persist_span(trace_id, span_id, name)
+    return SpanInfo(trace_id=trace_id, span_id=span_id, name=name)
+
+
 @pytest.mark.sdk_test
 @pytest.mark.e2etest
 class TestRunInfo:
@@ -128,3 +215,55 @@ def test_null_type_and_display_name(self) -> None:
         run_info_from_db = RunInfo.get(name)
         assert run_info_from_db.type is None
         assert run_info_from_db.display_name is None
+
+
+@pytest.mark.sdk_test
+@pytest.mark.e2etest
+class TestTrace:
+    def test_span_persist_and_get(self, mock_span: SpanInfo) -> None:
+        span = Span.get(span_id=mock_span.span_id)
+        assert span.name == mock_span.name
+        span = Span.get(trace_id=mock_span.trace_id, span_id=mock_span.span_id)
+        assert span.name == mock_span.name
+
+    def test_span_list(self, mock_span: SpanInfo) -> None:
+        spans = Span.list(trace_ids=mock_span.trace_id)
+        assert len(spans) == 1
+
+    def test_event_persist_and_get(self) -> None:
+        trace_id = str(uuid.uuid4())
+        span_id = str(uuid.uuid4())
+        event_id = persist_event(trace_id=trace_id, span_id=span_id)
+        event = Event.get(event_id=event_id)
+        assert event.trace_id == trace_id and event.span_id == span_id
+
+    def test_event_list(self) -> None:
+        trace_id = str(uuid.uuid4())
+        span_id = str(uuid.uuid4())
+        persist_event(trace_id=trace_id, span_id=span_id)
+        events = Event.list(trace_id=trace_id, span_id=span_id)
+        assert len(events) == 1
+
+    def test_line_run_persist_and_get(self) -> None:
+        trace_id = str(uuid.uuid4())
+        span_id = str(uuid.uuid4())
+        line_run_id = persist_line_run(trace_id=trace_id, root_span_id=span_id)
+        line_run = LineRun.get(line_run_id=line_run_id)
+        assert line_run.trace_id == trace_id and line_run.root_span_id == span_id
+
+    def test_line_run_children_get(self) -> None:
+        # mock parent line run
+        trace_id, span_id = str(uuid.uuid4()), str(uuid.uuid4())
+        line_run_id = persist_line_run(trace_id=trace_id, root_span_id=span_id)
+        # mock child line runs
+        num_child_line_runs = 3
+        child_line_run_ids = list()
+        for _ in range(num_child_line_runs):
+            child_line_run_id = persist_line_run(
+                trace_id=str(uuid.uuid4()), root_span_id=str(uuid.uuid4()), parent_id=line_run_id
+            )
+            child_line_run_ids.append(child_line_run_id)
+        child_line_runs = LineRun._get_children(line_run_id=line_run_id)
+        assert len(child_line_runs) == num_child_line_runs
+        for child_line_run in child_line_runs:
+            assert child_line_run.line_run_id in child_line_run_ids
diff --git a/src/promptflow/tests/sdk_cli_test/e2etests/test_telemetry.py b/src/promptflow/tests/sdk_cli_test/e2etests/test_telemetry.py
new file mode 100644
index 00000000000..2c729f592ad
--- /dev/null
+++ b/src/promptflow/tests/sdk_cli_test/e2etests/test_telemetry.py
@@ -0,0 +1,63 @@
+# ---------------------------------------------------------
+# Copyright (c) Microsoft Corporation. All rights reserved.
+# ---------------------------------------------------------
+import platform
+from unittest.mock import patch
+
+import pydash
+import pytest
+
+from promptflow._sdk._telemetry import get_telemetry_logger
+
+
+@pytest.mark.usefixtures("use_secrets_config_file", "setup_local_connection")
+@pytest.mark.sdk_test
+@pytest.mark.e2etest
+class TestTelemetry:
+    def test_run_yaml_type(self, pf):
+        from promptflow._constants import FlowType
+        from promptflow._sdk._configuration import Configuration
+        from promptflow._sdk._telemetry.logging_handler import PromptFlowSDKExporter
+
+        envelope = None
+        flow_type = None
+        config = Configuration.get_instance()
+        custom_dimensions = {
+            "python_version": platform.python_version(),
+            "installation_id": config.get_or_set_installation_id(),
+        }
+        log_to_envelope = PromptFlowSDKExporter(
+            connection_string="InstrumentationKey=00000000-0000-0000-0000-000000000000",
+            custom_dimensions=custom_dimensions,
+        )._log_to_envelope
+
+        def log_event(log_data):
+            nonlocal envelope
+            envelope = log_to_envelope(log_data)
+
+        def check_evelope():
+            assert envelope.data.base_data.name.startswith("pf.runs.create_or_update")
+            custom_dimensions = pydash.get(envelope, "data.base_data.properties")
+            assert isinstance(custom_dimensions, dict)
+            assert "flow_type" in custom_dimensions
+            assert custom_dimensions["flow_type"] == flow_type
+
+        with patch.object(PromptFlowSDKExporter, "_log_to_envelope", side_effect=log_event), patch(
+            "promptflow._sdk._telemetry.telemetry.get_telemetry_logger", side_effect=get_telemetry_logger
+        ):
+            flow_type = FlowType.DAG_FLOW
+            pf.run(
+                flow="./tests/test_configs/flows/print_input_flow",
+                data="./tests/test_configs/datas/print_input_flow.jsonl",
+            )
+            logger = get_telemetry_logger()
+            logger.handlers[0].flush()
+            check_evelope()
+
+            flow_type = FlowType.FLEX_FLOW
+            pf.run(
+                flow="./tests/test_configs/eager_flows/simple_with_req",
+                data="./tests/test_configs/datas/simple_eager_flow_data.jsonl",
+            )
+            logger.handlers[0].flush()
+            check_evelope()
diff --git a/src/promptflow/tests/sdk_cli_test/e2etests/test_trace.py b/src/promptflow/tests/sdk_cli_test/e2etests/test_trace.py
new file mode 100644
index 00000000000..a51882e26ec
--- /dev/null
+++ b/src/promptflow/tests/sdk_cli_test/e2etests/test_trace.py
@@ -0,0 +1,276 @@
+import datetime
+import json
+import typing
+import uuid
+from pathlib import Path
+from unittest.mock import patch
+
+import pytest
+from mock import mock
+
+from promptflow._constants import (
+    RUNNING_LINE_RUN_STATUS,
+    SpanAttributeFieldName,
+    SpanResourceAttributesFieldName,
+    SpanResourceFieldName,
+)
+from promptflow._sdk._constants import TRACE_DEFAULT_COLLECTION
+from promptflow._sdk._pf_client import PFClient
+from promptflow._sdk.entities._trace import Span
+
+TEST_ROOT = Path(__file__).parent.parent.parent
+FLOWS_DIR = (TEST_ROOT / "test_configs/flows").resolve().absolute().as_posix()
+
+
+def load_and_override_span_example(
+    trace_id: str,
+    span_id: str,
+    parent_id: typing.Optional[str],
+    line_run_id: str,
+) -> typing.Dict:
+    # load template span from local example file
+    example_span_path = TEST_ROOT / "test_configs/traces/large-data-span-example.json"
+    with open(example_span_path, mode="r", encoding="utf-8") as f:
+        span_dict = json.load(f)
+    # override field(s)
+    span_dict["context"]["trace_id"] = trace_id
+    span_dict["context"]["span_id"] = span_id
+    span_dict["parent_id"] = parent_id
+    span_dict["attributes"]["line_run_id"] = line_run_id
+    return span_dict
+
+
+def mock_span(
+    trace_id: str,
+    span_id: str,
+    parent_id: typing.Optional[str],
+    line_run_id: str,
+) -> Span:
+    span_dict = load_and_override_span_example(
+        trace_id=trace_id, span_id=span_id, parent_id=parent_id, line_run_id=line_run_id
+    )
+    # type conversion for timestamp - required for Span constructor
+    span_dict["start_time"] = datetime.datetime.fromisoformat(span_dict["start_time"])
+    span_dict["end_time"] = datetime.datetime.fromisoformat(span_dict["end_time"])
+    # create Span object
+    return Span(
+        name=span_dict["name"],
+        trace_id=trace_id,
+        span_id=span_id,
+        parent_id=parent_id,
+        context=span_dict["context"],
+        kind=span_dict["kind"],
+        start_time=span_dict["start_time"],
+        end_time=span_dict["end_time"],
+        status=span_dict["status"],
+        attributes=span_dict["attributes"],
+        links=span_dict["links"],
+        events=span_dict["events"],
+        resource=span_dict["resource"],
+    )
+
+
+def mock_span_for_delete_tests(
+    run: typing.Optional[str] = None,
+    collection: typing.Optional[str] = None,
+    start_time: typing.Optional[datetime.datetime] = None,
+) -> Span:
+    span = mock_span(
+        trace_id=str(uuid.uuid4()), span_id=str(uuid.uuid4()), parent_id=None, line_run_id=str(uuid.uuid4())
+    )
+    if run is not None:
+        span.attributes.pop(SpanAttributeFieldName.LINE_RUN_ID)
+        span.attributes[SpanAttributeFieldName.BATCH_RUN_ID] = run
+        span.attributes[SpanAttributeFieldName.LINE_NUMBER] = 0  # always line 0
+    if collection is not None:
+        span.resource[SpanResourceFieldName.ATTRIBUTES][SpanResourceAttributesFieldName.COLLECTION] = collection
+    if start_time is not None:
+        span.start_time = start_time
+    span._persist()
+    return span
+
+
+def assert_span_equals(span: Span, expected_span_dict: typing.Dict) -> None:
+    span_dict = span._to_rest_object()
+    # assert "external_event_data_uris" in span_dict and pop
+    assert "external_event_data_uris" in span_dict
+    span_dict.pop("external_event_data_uris")
+    assert span_dict == expected_span_dict
+
+
+@pytest.mark.e2etest
+@pytest.mark.sdk_test
+class TestTraceEntitiesAndOperations:
+    def test_span_persist_and_gets(self, pf: PFClient) -> None:
+        trace_id = str(uuid.uuid4())
+        span_id = str(uuid.uuid4())
+        parent_id = str(uuid.uuid4())
+        line_run_id = str(uuid.uuid4())
+        span = mock_span(trace_id=trace_id, span_id=span_id, parent_id=parent_id, line_run_id=line_run_id)
+        span._persist()
+        # trace operations - get span
+        # eager load
+        eager_load_span = pf.traces.get_span(trace_id=trace_id, span_id=span_id, lazy_load=False)
+        expected_span_dict = load_and_override_span_example(
+            trace_id=trace_id, span_id=span_id, parent_id=parent_id, line_run_id=line_run_id
+        )
+        assert_span_equals(eager_load_span, expected_span_dict)
+        # lazy load (default)
+        lazy_load_span = pf.traces.get_span(trace_id=trace_id, span_id=span_id)
+        # events.attributes should be empty in lazy load mode
+        for i in range(len(expected_span_dict["events"])):
+            expected_span_dict["events"][i]["attributes"] = dict()
+        assert_span_equals(lazy_load_span, expected_span_dict)
+
+    def test_spans_persist_and_line_run_gets(self, pf: PFClient) -> None:
+        trace_id = str(uuid.uuid4())
+        non_root_span_id = str(uuid.uuid4())
+        root_span_id = str(uuid.uuid4())
+        line_run_id = str(uuid.uuid4())
+        # non-root span
+        span = mock_span(
+            trace_id=trace_id,
+            span_id=non_root_span_id,
+            parent_id=root_span_id,
+            line_run_id=line_run_id,
+        )
+        span._persist()
+        running_line_run = pf.traces.get_line_run(line_run_id=line_run_id)
+        expected_running_line_run_dict = {
+            "line_run_id": line_run_id,
+            "trace_id": trace_id,
+            "root_span_id": None,
+            "inputs": None,
+            "outputs": None,
+            "start_time": "2024-03-21T06:37:22.332582",
+            "end_time": None,
+            "status": RUNNING_LINE_RUN_STATUS,
+            "duration": None,
+            "name": None,
+            "kind": None,
+            "collection": TRACE_DEFAULT_COLLECTION,
+            "cumulative_token_count": None,
+            "parent_id": None,
+            "run": None,
+            "line_number": None,
+            "experiment": None,
+            "session_id": None,
+            "evaluations": None,
+        }
+        assert running_line_run._to_rest_object() == expected_running_line_run_dict
+        # root span
+        span = mock_span(
+            trace_id=trace_id,
+            span_id=root_span_id,
+            parent_id=None,
+            line_run_id=line_run_id,
+        )
+        span._persist()
+        terminated_line_run = pf.traces.get_line_run(line_run_id=line_run_id)
+        expected_terminated_line_run_dict = {
+            "line_run_id": line_run_id,
+            "trace_id": trace_id,
+            "root_span_id": root_span_id,
+            "inputs": {"input1": "value1", "input2": "value2"},
+            "outputs": {"output1": "val1", "output2": "val2"},
+            "start_time": "2024-03-21T06:37:22.332582",
+            "end_time": "2024-03-21T06:37:26.445007",
+            "status": "Ok",
+            "duration": 4.112425,
+            "name": "openai.resources.chat.completions.Completions.create",
+            "kind": "LLM",
+            "collection": TRACE_DEFAULT_COLLECTION,
+            "cumulative_token_count": {
+                "completion": 14,
+                "prompt": 1497,
+                "total": 1511,
+            },
+            "parent_id": None,
+            "run": None,
+            "line_number": None,
+            "experiment": None,
+            "session_id": None,
+            "evaluations": None,
+        }
+        assert terminated_line_run._to_rest_object() == expected_terminated_line_run_dict
+
+    def test_delete_traces_three_tables(self, pf: PFClient) -> None:
+        # trace operation does not expose API for events and spans
+        # so directly use ORM class to list and assert events and spans existence and deletion
+        from promptflow._sdk._orm.trace import Event as ORMEvent
+        from promptflow._sdk._orm.trace import LineRun as ORMLineRun
+        from promptflow._sdk._orm.trace import Span as ORMSpan
+
+        mock_run = str(uuid.uuid4())
+        mock_span = mock_span_for_delete_tests(run=mock_run)
+        # assert events, span and line_run are persisted
+        assert len(ORMEvent.list(trace_id=mock_span.trace_id, span_id=mock_span.span_id)) == 2
+        assert len(ORMSpan.list(trace_ids=[mock_span.trace_id])) == 1
+        assert len(ORMLineRun.list(runs=[mock_run])) == 1
+        # delete traces and assert all traces are deleted
+        pf.traces.delete(run=mock_run)
+        assert len(ORMEvent.list(trace_id=mock_span.trace_id, span_id=mock_span.span_id)) == 0
+        assert len(ORMSpan.list(trace_ids=[mock_span.trace_id])) == 0
+        assert len(ORMLineRun.list(runs=[mock_run])) == 0
+
+    def test_delete_traces_with_run(self, pf: PFClient) -> None:
+        mock_run = str(uuid.uuid4())
+        mock_span_for_delete_tests(run=mock_run)
+        assert len(pf.traces.list_line_runs(runs=[mock_run])) == 1
+        pf.traces.delete(run=mock_run)
+        assert len(pf.traces.list_line_runs(runs=[mock_run])) == 0
+
+    def test_delete_traces_with_collection(self, pf: PFClient) -> None:
+        mock_collection = str(uuid.uuid4())
+        mock_span_for_delete_tests(collection=mock_collection)
+        assert len(pf.traces.list_line_runs(collection=mock_collection)) == 1
+        pf.traces.delete(collection=mock_collection)
+        assert len(pf.traces.list_line_runs(collection=mock_collection)) == 0
+
+    def test_delete_traces_with_collection_and_started_before(self, pf: PFClient) -> None:
+        # mock some traces that start 2 days before, and delete those start 1 days before
+        mock_start_time = datetime.datetime.now() - datetime.timedelta(days=2)
+        collection1, collection2 = str(uuid.uuid4()), str(uuid.uuid4())
+        mock_span_for_delete_tests(collection=collection1, start_time=mock_start_time)
+        mock_span_for_delete_tests(collection=collection2, start_time=mock_start_time)
+        assert (
+            len(pf.traces.list_line_runs(collection=collection1)) == 1
+            and len(pf.traces.list_line_runs(collection=collection2)) == 1
+        )
+        delete_query_time = datetime.datetime.now() - datetime.timedelta(days=1)
+        pf.traces.delete(collection=collection1, started_before=delete_query_time.isoformat())
+        # only collection1 traces are deleted
+        assert (
+            len(pf.traces.list_line_runs(collection=collection1)) == 0
+            and len(pf.traces.list_line_runs(collection=collection2)) == 1
+        )
+        pf.traces.delete(collection=collection2, started_before=delete_query_time.isoformat())
+        assert len(pf.traces.list_line_runs(collection=collection2)) == 0
+
+
+@pytest.mark.usefixtures("use_secrets_config_file", "recording_injection", "setup_local_connection")
+@pytest.mark.e2etest
+@pytest.mark.sdk_test
+class TestTraceWithDevKit:
+    def test_flow_test_trace_enabled(self, pf: PFClient) -> None:
+        import promptflow.tracing._start_trace
+
+        with mock.patch("promptflow._sdk._configuration.Configuration.is_internal_features_enabled") as mock_func:
+            mock_func.return_value = True
+            with patch.object(promptflow.tracing._start_trace, "start_trace") as mock_start_trace:
+                inputs = {"url": "https://www.youtube.com/watch?v=o5ZQyXaAv1g", "answer": "Channel", "evidence": "Url"}
+                pf.test(flow=Path(f"{FLOWS_DIR}/web_classification").absolute(), inputs=inputs)
+                assert mock_start_trace.call_count == 1
+
+    def test_flow_test_single_node_trace_not_enabled(self, pf: PFClient) -> None:
+        import promptflow.tracing._start_trace
+
+        with mock.patch("promptflow._sdk._configuration.Configuration.is_internal_features_enabled") as mock_func:
+            mock_func.return_value = True
+            with patch.object(promptflow.tracing._start_trace, "start_trace") as mock_start_trace:
+                pf.test(
+                    flow=Path(f"{FLOWS_DIR}/web_classification").absolute(),
+                    inputs={"fetch_url": "https://www.youtube.com/watch?v=o5ZQyXaAv1g"},
+                    node="fetch_text_content_from_url",
+                )
+                assert mock_start_trace.call_count == 0
diff --git a/src/promptflow/tests/sdk_cli_test/recording_utilities/constants.py b/src/promptflow/tests/sdk_cli_test/recording_utilities/constants.py
deleted file mode 100644
index 5ba0a5c8883..00000000000
--- a/src/promptflow/tests/sdk_cli_test/recording_utilities/constants.py
+++ /dev/null
@@ -1,7 +0,0 @@
-ENVIRON_TEST_MODE = "PROMPT_FLOW_TEST_MODE"
-
-
-class RecordMode:
-    LIVE = "live"
-    RECORD = "record"
-    REPLAY = "replay"
diff --git a/src/promptflow/tests/sdk_cli_test/recording_utilities/openai_inject_recording.py b/src/promptflow/tests/sdk_cli_test/recording_utilities/openai_inject_recording.py
deleted file mode 100644
index dc923f91de8..00000000000
--- a/src/promptflow/tests/sdk_cli_test/recording_utilities/openai_inject_recording.py
+++ /dev/null
@@ -1,42 +0,0 @@
-import asyncio
-import functools
-
-from promptflow.tracing._openai_injector import inject_function_async, inject_function_sync, inject_operation_headers
-
-from .mock_tool import call_func, call_func_async
-
-
-def inject_recording(f):
-    if asyncio.iscoroutinefunction(f):
-
-        @functools.wraps(f)
-        async def wrapper(*args, **kwargs):
-            return await call_func_async(f, args, kwargs)
-
-    else:
-
-        @functools.wraps(f)
-        def wrapper(*args, **kwargs):
-            return call_func(f, args, kwargs)
-
-    return wrapper
-
-
-def inject_async_with_recording(f, trace_type):
-    wrapper_fun = inject_operation_headers((
-        inject_function_async(
-            args_to_ignore=["api_key", "headers", "extra_headers"], trace_type=trace_type
-        )(inject_recording(f))
-    ))
-    wrapper_fun._original = f
-    return wrapper_fun
-
-
-def inject_sync_with_recording(f, trace_type):
-    wrapper_fun = inject_operation_headers((
-        inject_function_sync(
-            args_to_ignore=["api_key", "headers", "extra_headers"], trace_type=trace_type
-        )(inject_recording(f))
-    ))
-    wrapper_fun._original = f
-    return wrapper_fun
diff --git a/src/promptflow/tests/sdk_cli_test/unittests/test_chat_group.py b/src/promptflow/tests/sdk_cli_test/unittests/test_chat_group.py
new file mode 100644
index 00000000000..7b8ebe7f015
--- /dev/null
+++ b/src/promptflow/tests/sdk_cli_test/unittests/test_chat_group.py
@@ -0,0 +1,62 @@
+from pathlib import Path
+
+import pytest
+from pytest_mock import MockFixture
+
+from promptflow._sdk._errors import ChatGroupError, ChatRoleError
+from promptflow._sdk.entities._chat_group._chat_group import ChatGroup
+from promptflow._sdk.entities._chat_group._chat_role import ChatRole
+
+PROMOTFLOW_ROOT = Path(__file__) / "../../../.."
+
+TEST_ROOT = Path(__file__).parent.parent.parent
+FLOWS_DIR = TEST_ROOT / "test_configs/flows"
+
+
+@pytest.mark.sdk_test
+@pytest.mark.unittest
+class TestChatGroup:
+    def test_chat_role_creation_error(self):
+        with pytest.raises(ChatRoleError, match=r"Failed to create chat role"):
+            ChatRole(flow=FLOWS_DIR / "non_existing_flow", role="assistant")
+
+    def test_chat_role_invoke_error(self):
+        copilot = ChatRole(
+            flow=FLOWS_DIR / "chat_group_copilot",
+            role="assistant",
+            name="copilot",
+            inputs=dict(
+                question="Tell me a joke",
+                model="gpt-3.5-turbo",
+                conversation_history="${parent.conversation_history}",
+            ),
+        )
+        with pytest.raises(ChatRoleError, match=r"Chat role invoke does not accept positional arguments"):
+            copilot.invoke(1)
+
+    def test_chat_group_invalid_parameters(self, mocker: MockFixture):
+        mocker.patch.object(ChatRole, "_build_role_io", return_value=({}, {}))
+        copilot = ChatRole(flow=FLOWS_DIR / "chat_group_copilot", role="assistant")
+        simulation = ChatRole(flow=FLOWS_DIR / "chat_group_simulation", role="user")
+        simulation_1 = ChatRole(flow=FLOWS_DIR / "chat_group_simulation", role="user")
+        entry = ChatRole(flow=FLOWS_DIR / "hello-world", role="user2")
+
+        # entry role is not in role list
+        with pytest.raises(ChatGroupError, match=r"Entry role .*? is not in roles list"):
+            ChatGroup(roles=[copilot, simulation], entry_role=entry)
+
+        # invalid roles passed in
+        with pytest.raises(ChatGroupError, match="Agents should be a non-empty list of ChatRole"):
+            ChatGroup(roles=[1, True])
+
+        # duplicate roles
+        with pytest.raises(ChatGroupError, match="Duplicate roles are not allowed"):
+            ChatGroup(roles=[simulation, simulation_1])
+
+        # invalid parameters
+        with pytest.raises(ChatGroupError, match="should be an integer"):
+            ChatGroup(roles=[copilot, simulation], max_turns="4")
+        with pytest.raises(ChatGroupError, match="should be an integer"):
+            ChatGroup(roles=[copilot, simulation], max_tokens="1000")
+        with pytest.raises(ChatGroupError, match="should be an integer"):
+            ChatGroup(roles=[copilot, simulation], max_time="1000")
diff --git a/src/promptflow/tests/sdk_cli_test/unittests/test_config.py b/src/promptflow/tests/sdk_cli_test/unittests/test_config.py
index d4789823ad4..768f042a3da 100644
--- a/src/promptflow/tests/sdk_cli_test/unittests/test_config.py
+++ b/src/promptflow/tests/sdk_cli_test/unittests/test_config.py
@@ -7,7 +7,7 @@
 
 from promptflow._sdk._configuration import Configuration, InvalidConfigValue
 from promptflow._sdk._constants import FLOW_DIRECTORY_MACRO_IN_CONFIG
-from promptflow._sdk._utils import ClientUserAgentUtil
+from promptflow._utils.user_agent_utils import ClientUserAgentUtil
 
 CONFIG_DATA_ROOT = Path(__file__).parent.parent.parent / "test_configs" / "configs"
 
diff --git a/src/promptflow/tests/sdk_cli_test/unittests/test_connection.py b/src/promptflow/tests/sdk_cli_test/unittests/test_connection.py
index 747942197fc..41ae8db82b5 100644
--- a/src/promptflow/tests/sdk_cli_test/unittests/test_connection.py
+++ b/src/promptflow/tests/sdk_cli_test/unittests/test_connection.py
@@ -10,7 +10,7 @@
 
 from promptflow._cli._pf._connection import validate_and_interactive_get_secrets
 from promptflow._sdk._constants import SCRUBBED_VALUE, ConnectionAuthMode, CustomStrongTypeConnectionConfigs
-from promptflow._sdk._errors import RequiredEnvironmentVariablesNotSetError, SDKError
+from promptflow._sdk._errors import ConnectionClassNotFoundError, SDKError
 from promptflow._sdk._load_functions import _load_env_to_connection
 from promptflow._sdk.entities._connection import (
     AzureContentSafetyConnection,
@@ -25,7 +25,9 @@
     WeaviateConnection,
     _Connection,
 )
+from promptflow._sdk.operations._connection_operations import ConnectionOperations
 from promptflow._utils.yaml_utils import load_yaml
+from promptflow.core._connection import RequiredEnvironmentVariablesNotSetError
 from promptflow.exceptions import UserErrorException
 
 TEST_ROOT = Path(__file__).parent.parent.parent
@@ -249,7 +251,7 @@ def test_connection_load_from_env(self):
 
     def test_connection_load_from_env_file_bad_case(self):
         # Test file not found
-        with pytest.raises(FileNotFoundError) as e:
+        with pytest.raises(UserErrorException) as e:
             _load_env_to_connection(source=CONNECTION_ROOT / "mock.env", params_override=[{"name": "env_conn"}])
         assert "not found" in str(e.value)
         # Test file empty
@@ -466,3 +468,41 @@ def test_connection_from_env(self):
                 "organization": "test_org",
                 "base_url": "test_base",
             }
+
+    def test_convert_core_connection_to_sdk_connection(self):
+        # Assert strong type
+        from promptflow.connections import AzureOpenAIConnection as CoreAzureOpenAIConnection
+
+        connection_args = {
+            "name": "abc",
+            "api_base": "abc",
+            "auth_mode": "meid_token",
+            "api_version": "2023-07-01-preview",
+        }
+        connection = CoreAzureOpenAIConnection(**connection_args)
+        sdk_connection = ConnectionOperations._convert_core_connection_to_sdk_connection(connection)
+        assert isinstance(sdk_connection, AzureOpenAIConnection)
+        assert sdk_connection._to_dict() == {
+            "module": "promptflow.connections",
+            "type": "azure_open_ai",
+            "api_type": "azure",
+            **connection_args,
+        }
+        # Assert custom type
+        from promptflow.connections import CustomConnection as CoreCustomConnection
+
+        connection_args = {
+            "name": "abc",
+            "configs": {"a": "1"},
+            "secrets": {"b": "2"},
+        }
+        connection = CoreCustomConnection(**connection_args)
+        sdk_connection = ConnectionOperations._convert_core_connection_to_sdk_connection(connection)
+        assert isinstance(sdk_connection, CustomConnection)
+        assert sdk_connection._to_dict() == {"module": "promptflow.connections", "type": "custom", **connection_args}
+
+        # Bad case
+        connection = CoreCustomConnection(**connection_args)
+        connection.type = "unknown"
+        with pytest.raises(ConnectionClassNotFoundError):
+            ConnectionOperations._convert_core_connection_to_sdk_connection(connection)
diff --git a/src/promptflow/tests/sdk_cli_test/unittests/test_experiment.py b/src/promptflow/tests/sdk_cli_test/unittests/test_experiment.py
index c9ea0b6ee36..f61a68133a0 100644
--- a/src/promptflow/tests/sdk_cli_test/unittests/test_experiment.py
+++ b/src/promptflow/tests/sdk_cli_test/unittests/test_experiment.py
@@ -5,7 +5,7 @@
 
 from promptflow._sdk._errors import MultipleExperimentTemplateError, NoExperimentTemplateError
 from promptflow._sdk._load_functions import _load_experiment_template
-from promptflow._sdk._submitter.experiment_orchestrator import ExperimentTemplateTestContext
+from promptflow._sdk._orchestrator.experiment_orchestrator import ExperimentTemplateTestContext
 from promptflow._sdk.entities._experiment import Experiment, ExperimentData, ExperimentInput, FlowNode
 
 TEST_ROOT = Path(__file__).parent.parent.parent
diff --git a/src/promptflow/tests/sdk_cli_test/unittests/test_flow.py b/src/promptflow/tests/sdk_cli_test/unittests/test_flow.py
index 4fded942c94..5f981b3d2c3 100644
--- a/src/promptflow/tests/sdk_cli_test/unittests/test_flow.py
+++ b/src/promptflow/tests/sdk_cli_test/unittests/test_flow.py
@@ -7,8 +7,7 @@
 from marshmallow import ValidationError
 
 from promptflow import load_flow
-from promptflow._sdk.entities._eager_flow import EagerFlow
-from promptflow._sdk.entities._flow import ProtectedFlow
+from promptflow._sdk.entities._flow import FlexFlow, Flow
 
 FLOWS_DIR = Path("./tests/test_configs/flows")
 EAGER_FLOWS_DIR = Path("./tests/test_configs/eager_flows")
@@ -26,7 +25,7 @@ class TestRun:
     )
     def test_eager_flow_load(self, kwargs):
         flow = load_flow(**kwargs)
-        assert isinstance(flow, EagerFlow)
+        assert isinstance(flow, FlexFlow)
 
     @pytest.mark.parametrize(
         "kwargs",
@@ -37,11 +36,11 @@ def test_eager_flow_load(self, kwargs):
     )
     def test_dag_flow_load(self, kwargs):
         flow = load_flow(**kwargs)
-        assert isinstance(flow, ProtectedFlow)
+        assert isinstance(flow, Flow)
 
     def test_flow_load_advanced(self):
         flow = load_flow(source=EAGER_FLOWS_DIR / "flow_with_environment")
-        assert isinstance(flow, EagerFlow)
+        assert isinstance(flow, FlexFlow)
         assert flow._data["environment"] == {"python_requirements_txt": "requirements.txt"}
 
     @pytest.mark.parametrize(
diff --git a/src/promptflow/tests/sdk_cli_test/unittests/test_flow_invoker.py b/src/promptflow/tests/sdk_cli_test/unittests/test_flow_invoker.py
index 6f5087acf56..2a4bc7a7b8f 100644
--- a/src/promptflow/tests/sdk_cli_test/unittests/test_flow_invoker.py
+++ b/src/promptflow/tests/sdk_cli_test/unittests/test_flow_invoker.py
@@ -5,13 +5,16 @@
 
 import pytest
 
-from promptflow._sdk._serving._errors import UnexpectedConnectionProviderReturn, UnsupportedConnectionProvider
-from promptflow._sdk._serving.flow_invoker import FlowInvoker
+from promptflow._sdk._load_functions import load_flow
+from promptflow.core._serving._errors import UnexpectedConnectionProviderReturn, UnsupportedConnectionProvider
+from promptflow.core._serving.flow_invoker import FlowInvoker
 from promptflow.exceptions import UserErrorException
 
 PROMOTFLOW_ROOT = Path(__file__).parent.parent.parent.parent
 FLOWS_DIR = Path(PROMOTFLOW_ROOT / "tests/test_configs/flows")
-EXAMPLE_FLOW = FLOWS_DIR / "web_classification"
+EXAMPLE_FLOW_DIR = FLOWS_DIR / "web_classification"
+EXAMPLE_FLOW_FILE = EXAMPLE_FLOW_DIR / "flow.dag.yaml"
+EXAMPLE_FLOW = load_flow(EXAMPLE_FLOW_FILE)
 
 
 @pytest.mark.sdk_test
@@ -23,15 +26,24 @@ def test_flow_invoker_unsupported_connection_provider(self):
             FlowInvoker(flow=EXAMPLE_FLOW, connection_provider=[])
 
         with pytest.raises(UserErrorException):
-            FlowInvoker(flow=EXAMPLE_FLOW, connection_provider="unsupported")
+            FlowInvoker(
+                flow=EXAMPLE_FLOW,
+                connection_provider="Unsupported connection provider",
+            )
 
     def test_flow_invoker_custom_connection_provider(self):
         # Return is not a list
         with pytest.raises(UnexpectedConnectionProviderReturn) as e:
-            FlowInvoker(flow=EXAMPLE_FLOW, connection_provider=lambda: {})
+            FlowInvoker(
+                flow=EXAMPLE_FLOW,
+                connection_provider=lambda: {},
+            )
         assert "should return a list of connections" in str(e.value)
 
         # Return is not connection type
         with pytest.raises(UnexpectedConnectionProviderReturn) as e:
-            FlowInvoker(flow=EXAMPLE_FLOW, connection_provider=lambda: [1, 2])
+            FlowInvoker(
+                flow=EXAMPLE_FLOW,
+                connection_provider=lambda: [1, 2],
+            )
         assert "should be connection type" in str(e.value)
diff --git a/src/promptflow/tests/sdk_cli_test/unittests/test_mlflow_dependencies.py b/src/promptflow/tests/sdk_cli_test/unittests/test_mlflow_dependencies.py
index ee486ae7b40..ddd542b9ea0 100644
--- a/src/promptflow/tests/sdk_cli_test/unittests/test_mlflow_dependencies.py
+++ b/src/promptflow/tests/sdk_cli_test/unittests/test_mlflow_dependencies.py
@@ -13,6 +13,6 @@ class TestMLFlowDependencies:
     def test_mlflow_dependencies(self):
         assert module.DAG_FILE_NAME == "flow.dag.yaml"
         assert module.Flow == promptflow._sdk.entities._flow.Flow
-        assert module.FlowInvoker == promptflow._sdk._serving.flow_invoker.FlowInvoker
+        assert module.FlowInvoker == promptflow.core._serving.flow_invoker.FlowInvoker
         assert module.remove_additional_includes is not None
         assert module._merge_local_code_and_additional_includes is not None
diff --git a/src/promptflow/tests/sdk_cli_test/unittests/test_pf_client.py b/src/promptflow/tests/sdk_cli_test/unittests/test_pf_client.py
index 3a023cf4987..d4bd33175d8 100644
--- a/src/promptflow/tests/sdk_cli_test/unittests/test_pf_client.py
+++ b/src/promptflow/tests/sdk_cli_test/unittests/test_pf_client.py
@@ -4,7 +4,7 @@
 import pytest
 
 from promptflow import PFClient
-from promptflow._sdk._utils import ClientUserAgentUtil
+from promptflow._utils.user_agent_utils import ClientUserAgentUtil
 
 
 @pytest.mark.sdk_test
diff --git a/src/promptflow/tests/sdk_cli_test/unittests/test_run.py b/src/promptflow/tests/sdk_cli_test/unittests/test_run.py
index 9fe153e1424..574687950f2 100644
--- a/src/promptflow/tests/sdk_cli_test/unittests/test_run.py
+++ b/src/promptflow/tests/sdk_cli_test/unittests/test_run.py
@@ -7,21 +7,24 @@
 from unittest.mock import patch
 
 import pytest
-from marshmallow import ValidationError
 
 from promptflow._sdk._constants import BASE_PATH_CONTEXT_KEY, NODES
 from promptflow._sdk._errors import InvalidFlowError
 from promptflow._sdk._load_functions import load_flow, load_run
+from promptflow._sdk._orchestrator import RunSubmitter, overwrite_variant, variant_overwrite_context
 from promptflow._sdk._pf_client import PFClient
 from promptflow._sdk._run_functions import create_yaml_run
-from promptflow._sdk._submitter import RunSubmitter, overwrite_variant, variant_overwrite_context
+from promptflow._sdk._utils import callable_to_entry_string
 from promptflow._sdk.entities import Run
 from promptflow._sdk.entities._flow import Flow
 from promptflow._sdk.operations._local_storage_operations import LocalStorageOperations
+from promptflow._utils.context_utils import inject_sys_path
 from promptflow._utils.yaml_utils import load_yaml
+from promptflow.exceptions import UserErrorException, ValidationException
 
 PROMOTFLOW_ROOT = Path(__file__) / "../../../.."
 FLOWS_DIR = Path("./tests/test_configs/flows")
+EAGER_FLOWS_DIR = Path("./tests/test_configs/eager_flows")
 RUNS_DIR = Path("./tests/test_configs/runs")
 DATAS_DIR = Path("./tests/test_configs/datas")
 
@@ -32,6 +35,10 @@ def test_flow() -> Flow:
     return load_flow(flow_path)
 
 
+async def my_async_func():
+    pass
+
+
 @pytest.mark.sdk_test
 @pytest.mark.unittest
 class TestRun:
@@ -104,20 +111,20 @@ def test_dot_env_resolve(self):
     def test_run_invalid_flow_path(self):
         run_id = str(uuid.uuid4())
         source = f"{RUNS_DIR}/bulk_run_invalid_flow_path.yaml"
-        with pytest.raises(ValidationError) as e:
+        with pytest.raises(ValidationException) as e:
             load_run(source=source, params_override=[{"name": run_id}])
         assert "Can't find directory or file in resolved absolute path:" in str(e.value)
 
     def test_run_invalid_remote_flow(self):
         run_id = str(uuid.uuid4())
         source = f"{RUNS_DIR}/bulk_run_invalid_remote_flow_str.yaml"
-        with pytest.raises(ValidationError) as e:
+        with pytest.raises(ValidationException) as e:
             load_run(source=source, params_override=[{"name": run_id}])
         assert "Invalid remote flow path. Currently only azureml:<flow-name> is supported" in str(e.value)
 
     def test_data_not_exist_validation_error(self):
         source = f"{RUNS_DIR}/sample_bulk_run.yaml"
-        with pytest.raises(ValidationError) as e:
+        with pytest.raises(ValidationException) as e:
             load_run(source=source, params_override=[{"data": "not_exist"}])
 
         assert "Can't find directory or file" in str(e.value)
@@ -130,16 +137,16 @@ def test_data_not_exist_validation_error(self):
         ],
     )
     def test_invalid_yaml(self, source, error_msg):
-        with pytest.raises(ValidationError) as e:
+        with pytest.raises(ValidationException) as e:
             create_yaml_run(source=source)
         assert error_msg in str(e.value)
 
     def test_run_bulk_invalid_params(self, pf):
         # Test if function raises FileNotFoundError
-        with pytest.raises(FileNotFoundError):
+        with pytest.raises(UserErrorException):
             pf.run(flow="invalid_path", data="fake_data")
 
-        with pytest.raises(FileNotFoundError):
+        with pytest.raises(UserErrorException):
             pf.run(flow="invalid_path", data="fake_data", batch_run="fake_run")
 
     def test_overwrite_variant(self):
@@ -229,3 +236,38 @@ def test_flow_run_with_unknown_field(self, caplog):
         run_yaml = Path(RUNS_DIR) / "sample_bulk_run.yaml"
         load_run(source=run_yaml, params_override=[{"unknown_field": "unknown_value"}])
         assert "Unknown fields found" in caplog.text
+
+    def test_callable_to_entry_string(self):
+
+        assert callable_to_entry_string(test_flow) == "sdk_cli_test.unittests.test_run:test_flow"
+
+        assert callable_to_entry_string(my_async_func) == "sdk_cli_test.unittests.test_run:my_async_func"
+
+        with inject_sys_path(f"{EAGER_FLOWS_DIR}/multiple_entries"):
+            from entry2 import my_flow2
+
+            assert callable_to_entry_string(my_flow2) == "entry2:my_flow2"
+
+    def test_callable_to_entry_string_not_supported(self):
+        non_callable = "not a callable"
+
+        def function():
+            pass
+
+        class MyClass:
+            def method(self):
+                pass
+
+            @classmethod
+            def class_method(cls):
+                pass
+
+            @staticmethod
+            def static_method():
+                pass
+
+        obj = MyClass()
+
+        for entry in [non_callable, function, obj.method, obj.class_method, obj.static_method, MyClass.class_method]:
+            with pytest.raises(UserErrorException):
+                callable_to_entry_string(entry)
diff --git a/src/promptflow/tests/sdk_cli_test/unittests/test_trace.py b/src/promptflow/tests/sdk_cli_test/unittests/test_trace.py
index 0021d9aa468..79af6537bb5 100644
--- a/src/promptflow/tests/sdk_cli_test/unittests/test_trace.py
+++ b/src/promptflow/tests/sdk_cli_test/unittests/test_trace.py
@@ -3,26 +3,41 @@
 # ---------------------------------------------------------
 
 import base64
+import datetime
+import json
+import logging
 import os
 import uuid
 from typing import Dict
 from unittest.mock import patch
 
 import pytest
+from mock import mock
 from opentelemetry import trace
 from opentelemetry.proto.trace.v1.trace_pb2 import Span as PBSpan
 from opentelemetry.sdk.environment_variables import OTEL_EXPORTER_OTLP_ENDPOINT
 from opentelemetry.sdk.trace import TracerProvider
 
-from promptflow._constants import SpanResourceAttributesFieldName, SpanResourceFieldName, TraceEnvironmentVariableName
-from promptflow._sdk.entities._trace import Span
-from promptflow.tracing._start_trace import (
-    _create_resource,
-    _is_tracer_provider_configured,
-    _provision_session_id,
-    _validate_session_id,
-    setup_exporter_from_environ,
+from promptflow._constants import (
+    SpanAttributeFieldName,
+    SpanResourceAttributesFieldName,
+    SpanResourceFieldName,
+    TraceEnvironmentVariableName,
+)
+from promptflow._sdk._constants import (
+    PF_TRACE_CONTEXT,
+    PF_TRACE_CONTEXT_ATTR,
+    TRACE_DEFAULT_COLLECTION,
+    ContextAttributeKey,
 )
+from promptflow._sdk._tracing import start_trace_with_devkit
+from promptflow._sdk.entities._trace import Span
+from promptflow.client import PFClient
+from promptflow.exceptions import UserErrorException
+from promptflow.tracing._operation_context import OperationContext
+from promptflow.tracing._start_trace import _is_tracer_provider_set, setup_exporter_from_environ, start_trace
+
+MOCK_PROMPTFLOW_SERVICE_PORT = "23333"
 
 
 @pytest.fixture
@@ -46,98 +61,56 @@ def mock_resource() -> Dict:
     }
 
 
+@pytest.fixture
+def mock_promptflow_service_invocation():
+    """Mock `_invoke_pf_svc` as we don't expect to invoke PFS during unit test."""
+    with mock.patch("promptflow._sdk._tracing._invoke_pf_svc") as mock_func:
+        mock_func.return_value = MOCK_PROMPTFLOW_SERVICE_PORT
+        yield
+
+
 @pytest.mark.sdk_test
 @pytest.mark.unittest
 class TestStartTrace:
-    def test_session_id_validation(self) -> None:
-        # [A-Za-z0-9_-]
-        _validate_session_id(str(uuid.uuid4()))
-        # space
-        with pytest.raises(ValueError):
-            _validate_session_id("test session")
-
-    def test_create_resource(self) -> None:
-        session_id = str(uuid.uuid4())
-        resource1 = _create_resource(session_id=session_id)
-        assert resource1.attributes[SpanResourceAttributesFieldName.SESSION_ID] == session_id
-        assert SpanResourceAttributesFieldName.EXPERIMENT_NAME not in resource1.attributes
-
-        experiment = "test_experiment"
-        resource2 = _create_resource(session_id=session_id, experiment=experiment)
-        assert resource2.attributes[SpanResourceAttributesFieldName.SESSION_ID] == session_id
-        assert resource2.attributes[SpanResourceAttributesFieldName.EXPERIMENT_NAME] == experiment
-
     @pytest.mark.usefixtures("reset_tracer_provider")
     def test_setup_exporter_from_environ(self) -> None:
-        assert not _is_tracer_provider_configured()
+        assert not _is_tracer_provider_set()
 
         # set some required environment variables
         endpoint = "http://localhost:23333/v1/traces"
-        session_id = str(uuid.uuid4())
+        collection = str(uuid.uuid4())
         experiment = "test_experiment"
         with patch.dict(
             os.environ,
             {
                 OTEL_EXPORTER_OTLP_ENDPOINT: endpoint,
-                TraceEnvironmentVariableName.SESSION_ID: session_id,
+                TraceEnvironmentVariableName.COLLECTION: collection,
                 TraceEnvironmentVariableName.EXPERIMENT: experiment,
             },
             clear=True,
         ):
             setup_exporter_from_environ()
 
-        assert _is_tracer_provider_configured()
+        assert _is_tracer_provider_set()
         tracer_provider: TracerProvider = trace.get_tracer_provider()
-        assert session_id == tracer_provider._resource.attributes[SpanResourceAttributesFieldName.SESSION_ID]
+        assert collection == tracer_provider._resource.attributes[SpanResourceAttributesFieldName.COLLECTION]
         assert experiment == tracer_provider._resource.attributes[SpanResourceAttributesFieldName.EXPERIMENT_NAME]
 
-    @pytest.mark.usefixtures("reset_tracer_provider")
-    def test_provision_session_id(self) -> None:
-        # no specified, session id should be a valid UUID
-        session_id = _provision_session_id(specified_session_id=None)
-        # below assert applys a UUID type check for `session_id`
-        assert session_id == str(uuid.UUID(session_id, version=4))
-
-        # specified session id
-        specified_session_id = str(uuid.uuid4())
-        session_id = _provision_session_id(specified_session_id=specified_session_id)
-        assert session_id == specified_session_id
-
-        # within a configured tracer provider
-        endpoint = "http://localhost:23333/v1/traces"
-        configured_session_id = str(uuid.uuid4())
-        with patch.dict(
-            os.environ,
-            {
-                OTEL_EXPORTER_OTLP_ENDPOINT: endpoint,
-                TraceEnvironmentVariableName.SESSION_ID: configured_session_id,
-            },
-            clear=True,
-        ):
-            setup_exporter_from_environ()
-
-            # no specified
-            session_id = _provision_session_id(specified_session_id=None)
-            assert configured_session_id == session_id
-
-            # specified, but still honor the configured one
-            session_id = _provision_session_id(specified_session_id=str(uuid.uuid4()))
-            assert configured_session_id == session_id
-
     @pytest.mark.usefixtures("reset_tracer_provider")
     def test_local_to_cloud_resource(self) -> None:
         with patch.dict(
             os.environ,
             {
-                TraceEnvironmentVariableName.SESSION_ID: str(uuid.uuid4()),
+                TraceEnvironmentVariableName.COLLECTION: str(uuid.uuid4()),
                 TraceEnvironmentVariableName.SUBSCRIPTION_ID: "test_subscription_id",
                 TraceEnvironmentVariableName.RESOURCE_GROUP_NAME: "test_resource_group_name",
                 TraceEnvironmentVariableName.WORKSPACE_NAME: "test_workspace_name",
+                OTEL_EXPORTER_OTLP_ENDPOINT: "https://dummy-endpoint",
             },
             clear=True,
         ):
             setup_exporter_from_environ()
-            tracer_provider = trace.get_tracer_provider()
+            tracer_provider: TracerProvider = trace.get_tracer_provider()
             res_attrs = dict(tracer_provider.resource.attributes)
             assert res_attrs[SpanResourceAttributesFieldName.SUBSCRIPTION_ID] == "test_subscription_id"
             assert res_attrs[SpanResourceAttributesFieldName.RESOURCE_GROUP_NAME] == "test_resource_group_name"
@@ -155,8 +128,73 @@ def test_trace_without_attributes_collection(self, mock_resource: Dict) -> None:
         pb_span.parent_span_id = base64.b64decode("C+++WS+OuxI=")
         pb_span.kind = PBSpan.SpanKind.SPAN_KIND_INTERNAL
         # below line should execute successfully
-        span = Span._from_protobuf_object(pb_span, resource=mock_resource)
+        span = Span._from_protobuf_object(pb_span, resource=mock_resource, logger=logging.getLogger(__name__))
         # as the above span do not have any attributes, so the parsed span should not have any attributes
-        attributes = span._content["attributes"]
-        assert isinstance(attributes, dict)
-        assert len(attributes) == 0
+        assert isinstance(span.attributes, dict)
+        assert len(span.attributes) == 0
+
+    def test_experiment_test_lineage(self, monkeypatch: pytest.MonkeyPatch, mock_promptflow_service_invocation) -> None:
+        # experiment orchestrator will help set this context in environment
+        referenced_line_run_id = str(uuid.uuid4())
+        ctx = {PF_TRACE_CONTEXT_ATTR: {ContextAttributeKey.REFERENCED_LINE_RUN_ID: referenced_line_run_id}}
+        with monkeypatch.context() as m:
+            m.setenv(PF_TRACE_CONTEXT, json.dumps(ctx))
+            start_trace_with_devkit(collection=None)
+            # lineage is stored in context
+            op_ctx = OperationContext.get_instance()
+            otel_attrs = op_ctx._get_otel_attributes()
+            assert otel_attrs[SpanAttributeFieldName.REFERENCED_LINE_RUN_ID] == referenced_line_run_id
+
+    def test_experiment_test_lineage_cleanup(
+        self, monkeypatch: pytest.MonkeyPatch, mock_promptflow_service_invocation
+    ) -> None:
+        # in previous code, context may be set with lineage
+        op_ctx = OperationContext.get_instance()
+        op_ctx._add_otel_attributes(SpanAttributeFieldName.REFERENCED_LINE_RUN_ID, str(uuid.uuid4()))
+        with monkeypatch.context() as m:
+            m.setenv(PF_TRACE_CONTEXT, json.dumps({PF_TRACE_CONTEXT_ATTR: dict()}))
+            start_trace_with_devkit(collection=None)
+            # lineage will be reset
+            otel_attrs = op_ctx._get_otel_attributes()
+            assert SpanAttributeFieldName.REFERENCED_LINE_RUN_ID not in otel_attrs
+
+    def test_setup_exporter_in_executor(self, monkeypatch: pytest.MonkeyPatch):
+        with monkeypatch.context() as m:
+            m.delenv(OTEL_EXPORTER_OTLP_ENDPOINT, raising=False)
+            original_proivder = trace.get_tracer_provider()
+            setup_exporter_from_environ()
+            new_provider: TracerProvider = trace.get_tracer_provider()
+            # Assert the provider without exporter is not the one with exporter
+            assert original_proivder == new_provider
+
+    def test_setup_exporter_in_executor_with_preview_flag(self, mock_promptflow_service_invocation):
+        with mock.patch("promptflow._sdk._configuration.Configuration.is_internal_features_enabled") as mock_func:
+            mock_func.return_value = True
+
+            start_trace()
+            setup_exporter_from_environ()
+            tracer_provider: TracerProvider = trace.get_tracer_provider()
+            assert len(tracer_provider._active_span_processor._span_processors) == 1
+            assert (
+                tracer_provider._active_span_processor._span_processors[0].span_exporter._endpoint
+                == f"http://localhost:{MOCK_PROMPTFLOW_SERVICE_PORT}/v1/traces"
+            )
+
+
+@pytest.mark.unittest
+@pytest.mark.sdk_test
+class TestTraceOperations:
+    def test_validate_delete_query_params(self, pf: PFClient) -> None:
+        expected_error_message = (
+            'Valid delete queries: 1) specify `run`; 2) specify `collection` (not "default"); '
+            "3) specify `collection` and `started_before` (ISO 8601)."
+        )
+
+        def _validate_invalid_params(kwargs: Dict):
+            with pytest.raises(UserErrorException) as e:
+                pf.traces._validate_delete_query_params(**kwargs)
+            assert expected_error_message in str(e)
+
+        _validate_invalid_params({"run": str(uuid.uuid4()), "started_before": datetime.datetime.now().isoformat()})
+        _validate_invalid_params({"collection": TRACE_DEFAULT_COLLECTION})
+        _validate_invalid_params({"collection": str(uuid.uuid4()), "started_before": "invalid isoformat"})
diff --git a/src/promptflow/tests/sdk_cli_test/unittests/test_utils.py b/src/promptflow/tests/sdk_cli_test/unittests/test_utils.py
index b10c609c3ed..14a5ac736f2 100644
--- a/src/promptflow/tests/sdk_cli_test/unittests/test_utils.py
+++ b/src/promptflow/tests/sdk_cli_test/unittests/test_utils.py
@@ -36,18 +36,20 @@
     _generate_connections_dir,
     decrypt_secret_value,
     encrypt_secret_value,
+    gen_uuid_by_compute_info,
     generate_flow_tools_json,
-    override_connection_config_with_environment_variable,
-    refresh_connections_dir,
-    resolve_connections_environment_variable_reference,
-    snake_to_camel,
     get_mac_address,
-    gen_uuid_by_compute_info,
     get_system_info,
+    refresh_connections_dir,
 )
 from promptflow._utils.load_data import load_data
 from promptflow._utils.retry_utils import http_retry_wrapper, retry
+from promptflow._utils.utils import snake_to_camel
 from promptflow._utils.version_hint_utils import check_latest_version
+from promptflow.core._utils import (
+    override_connection_config_with_environment_variable,
+    resolve_connections_environment_variable_reference,
+)
 
 TEST_ROOT = Path(__file__).parent.parent.parent
 CONNECTION_ROOT = TEST_ROOT / "test_configs/connections"
diff --git a/src/promptflow/tests/sdk_pfs_test/.coveragerc b/src/promptflow/tests/sdk_pfs_test/.coveragerc
index 841a4d9503c..551f5583885 100644
--- a/src/promptflow/tests/sdk_pfs_test/.coveragerc
+++ b/src/promptflow/tests/sdk_pfs_test/.coveragerc
@@ -6,4 +6,6 @@ omit =
     */promptflow/azure/*
     */promptflow/entities/*
     */promptflow/operations/*
+    */promptflow/executor/*
+    */promptflow/core/*
     *__init__.py*
diff --git a/src/promptflow/tests/sdk_pfs_test/e2etests/test_cli.py b/src/promptflow/tests/sdk_pfs_test/e2etests/test_cli.py
index 8d605e2c611..5740180293d 100644
--- a/src/promptflow/tests/sdk_pfs_test/e2etests/test_cli.py
+++ b/src/promptflow/tests/sdk_pfs_test/e2etests/test_cli.py
@@ -4,12 +4,11 @@
 
 import subprocess
 import sys
-from time import sleep
 
 import pytest
 import requests
 
-from promptflow._sdk._service.entry import main
+from promptflow._cli._pf.entry import main
 from promptflow._sdk._service.utils.utils import get_port_from_config, get_random_port, kill_exist_service
 
 
@@ -19,20 +18,20 @@ def _run_pfs_command(self, *args):
         """Run a pfs command with the given arguments."""
         origin_argv = sys.argv
         try:
-            sys.argv = ["pfs"] + list(args)
+            sys.argv = ["pf", "service"] + list(args)
             main()
         finally:
             sys.argv = origin_argv
 
     def _test_start_service(self, port=None, force=False):
-        command = f"pfs start --port {port}" if port else "pfs start"
+        command = f"pf service start --port {port}" if port else "pf service start"
         if force:
             command = f"{command} --force"
         start_pfs = subprocess.Popen(command, shell=True)
         # Wait for service to be started
         start_pfs.wait()
         assert self._is_service_healthy()
-        stop_command = "pfs stop"
+        stop_command = "pf service stop"
         stop_pfs = subprocess.Popen(stop_command, shell=True)
         stop_pfs.wait()
 
@@ -50,7 +49,7 @@ def test_start_service(self):
             self._test_start_service(port=random_port, force=True)
 
             # start pfs
-            start_pfs = subprocess.Popen("pfs start", shell=True)
+            start_pfs = subprocess.Popen("pf service start", shell=True)
             # Wait for service to be started
             start_pfs.wait()
             assert self._is_service_healthy()
@@ -64,12 +63,13 @@ def test_start_service(self):
     def test_show_service_status(self, capsys):
         with pytest.raises(SystemExit):
             self._run_pfs_command("show-status")
-
-        start_pfs = subprocess.Popen("pfs start", shell=True)
+        start_pfs = subprocess.Popen("pf service start", shell=True)
         # Wait for service to be started
-        sleep(5)
+        start_pfs.wait()
+        assert self._is_service_healthy()
         self._run_pfs_command("show-status")
         output, _ = capsys.readouterr()
         assert str(get_port_from_config()) in output
-        start_pfs.terminate()
-        start_pfs.wait(10)
+        self._run_pfs_command("stop")
+        output, _ = capsys.readouterr()
+        assert str(get_port_from_config()) in output
diff --git a/src/promptflow/tests/sdk_pfs_test/e2etests/test_connection_apis.py b/src/promptflow/tests/sdk_pfs_test/e2etests/test_connection_apis.py
index ee05581e848..85d4e33c538 100644
--- a/src/promptflow/tests/sdk_pfs_test/e2etests/test_connection_apis.py
+++ b/src/promptflow/tests/sdk_pfs_test/e2etests/test_connection_apis.py
@@ -8,10 +8,10 @@
 
 import mock
 import pytest
-from sdk_cli_azure_test.recording_utilities import is_replay
 
 from promptflow import PFClient
 from promptflow._sdk.entities import CustomConnection
+from promptflow.recording.record_mode import is_replay
 
 from ..utils import PFSOperations, check_activity_end_telemetry
 
@@ -32,6 +32,22 @@ def test_list_connections(self, pf_client: PFClient, pfs_op: PFSOperations) -> N
 
         assert len(connections) >= 1
 
+    def test_list_connections_with_different_user_agent(self, pf_client: PFClient, pfs_op: PFSOperations) -> None:
+        create_custom_connection(pf_client)
+        base_user_agent = ["local_pfs/0.0.1"]
+        for _, extra_user_agent in enumerate(
+            [
+                ["another_test_user_agent/0.0.1"],
+                ["test_user_agent/0.0.1"],
+                ["another_test_user_agent/0.0.1"],
+                ["test_user_agent/0.0.1"],
+            ]
+        ):
+            with check_activity_end_telemetry(
+                activity_name="pf.connections.list", user_agent=base_user_agent + extra_user_agent
+            ):
+                pfs_op.list_connections(user_agent=extra_user_agent)
+
     def test_get_connection(self, pf_client: PFClient, pfs_op: PFSOperations) -> None:
         name = create_custom_connection(pf_client)
         with check_activity_end_telemetry(activity_name="pf.connections.get"):
diff --git a/src/promptflow/tests/sdk_pfs_test/e2etests/test_flow_apis.py b/src/promptflow/tests/sdk_pfs_test/e2etests/test_flow_apis.py
new file mode 100644
index 00000000000..68fe26ffeb1
--- /dev/null
+++ b/src/promptflow/tests/sdk_pfs_test/e2etests/test_flow_apis.py
@@ -0,0 +1,76 @@
+# ---------------------------------------------------------
+# Copyright (c) Microsoft Corporation. All rights reserved.
+# ---------------------------------------------------------
+
+import base64
+import os
+from io import BytesIO
+from pathlib import Path
+
+import pytest
+from PIL import Image
+
+from ..utils import PFSOperations, check_activity_end_telemetry
+
+FLOW_PATH = "./tests/test_configs/flows/print_env_var"
+IMAGE_PATH = "./tests/test_configs/datas/logo.jpg"
+FLOW_WITH_IMAGE_PATH = "./tests/test_configs/flows/chat_flow_with_image"
+
+
+@pytest.mark.usefixtures("use_secrets_config_file")
+@pytest.mark.e2etest
+class TestFlowAPIs:
+    def test_get_flow_yaml(self, pfs_op: PFSOperations) -> None:
+        with check_activity_end_telemetry(expected_activities=[]):
+            flow_yaml_from_pfs = pfs_op.get_flow(flow_path=FLOW_PATH).json
+        assert flow_yaml_from_pfs == {
+            "inputs": {"key": {"type": "string"}},
+            "outputs": {"output": {"type": "string", "reference": "${print_env.output.value}"}},
+            "nodes": [
+                {
+                    "name": "print_env",
+                    "type": "python",
+                    "source": {"type": "code", "path": "print_env.py"},
+                    "inputs": {"key": "${inputs.key}"},
+                }
+            ],
+        }
+
+    def test_flow_test(self, pfs_op: PFSOperations) -> None:
+        with check_activity_end_telemetry(activity_name="pf.flows.test"):
+            response = pfs_op.test_flow(
+                flow_path=FLOW_PATH,
+                request_body={"inputs": {"key": "value"}},
+                status_code=200,
+            ).json
+        assert len(response) >= 1
+
+    def test_get_flow_ux_inputs(self, pfs_op: PFSOperations) -> None:
+        with check_activity_end_telemetry(expected_activities=[]):
+            response = pfs_op.get_flow_ux_inputs(flow_path=Path(FLOW_PATH).absolute().as_posix()).json
+        assert len(response) >= 0
+
+    def test_image_save(self, pfs_op: PFSOperations) -> None:
+        def image_to_base64(image_path):
+            with Image.open(image_path) as img:
+                with BytesIO() as buffer:
+                    img.save(buffer, "JPEG")
+                    return base64.b64encode(buffer.getvalue()).decode("utf-8")
+
+        image_base64 = image_to_base64(IMAGE_PATH)
+        extension = os.path.splitext(IMAGE_PATH)[1].lstrip(".")
+        with check_activity_end_telemetry(expected_activities=[]):
+            response = pfs_op.save_flow_image(
+                flow_path=FLOW_PATH,
+                request_body={
+                    "base64_data": image_base64,
+                    "extension": extension,
+                },
+            ).json
+
+        os.remove(os.path.join(FLOW_PATH, response))
+
+    def test_image_view(self, pfs_op: PFSOperations) -> None:
+        with check_activity_end_telemetry(expected_activities=[]):
+            response = pfs_op.show_image(flow_path=FLOW_WITH_IMAGE_PATH, image_path="logo.jpg")
+            assert response.status_code == 200
diff --git a/src/promptflow/tests/sdk_pfs_test/e2etests/test_trace.py b/src/promptflow/tests/sdk_pfs_test/e2etests/test_trace.py
index e245a993f95..5a4a37a60ff 100644
--- a/src/promptflow/tests/sdk_pfs_test/e2etests/test_trace.py
+++ b/src/promptflow/tests/sdk_pfs_test/e2etests/test_trace.py
@@ -3,13 +3,17 @@
 # ---------------------------------------------------------
 
 import datetime
-import json
 import typing
 import uuid
 
 import pytest
 
-from promptflow._constants import SpanAttributeFieldName, SpanContextFieldName, SpanStatusFieldName
+from promptflow._constants import (
+    RUNNING_LINE_RUN_STATUS,
+    SpanAttributeFieldName,
+    SpanContextFieldName,
+    SpanStatusFieldName,
+)
 from promptflow._sdk._constants import CumulativeTokenCountFieldName, LineRunFieldName
 from promptflow._sdk.entities._trace import Span
 
@@ -17,24 +21,34 @@
 
 
 @pytest.fixture
-def mock_session_id() -> str:
-    """Generate a session id for test case."""
+def mock_collection() -> str:
+    """Generate a collection for test case."""
     return str(uuid.uuid4())
 
 
-def persist_a_span(session_id: str, custom_attributes: typing.Optional[typing.Dict] = None) -> None:
+def persist_a_span(
+    collection: str,
+    custom_attributes: typing.Optional[typing.Dict] = None,
+    custom_events: typing.List[typing.Dict] = None,
+    parent_id: typing.Optional[str] = None,
+) -> Span:
     if custom_attributes is None:
         custom_attributes = {}
+    trace_id = str(uuid.uuid4())
+    span_id = str(uuid.uuid4())
     span = Span(
+        trace_id=trace_id,
+        span_id=span_id,
         name=str(uuid.uuid4()),
         context={
-            SpanContextFieldName.TRACE_ID: str(uuid.uuid4()),
-            SpanContextFieldName.SPAN_ID: str(uuid.uuid4()),
+            SpanContextFieldName.TRACE_ID: trace_id,
+            SpanContextFieldName.SPAN_ID: span_id,
             SpanContextFieldName.TRACE_STATE: "",
         },
         kind="1",
-        start_time=datetime.datetime.now().isoformat(),
-        end_time=datetime.datetime.now().isoformat(),
+        parent_id=parent_id,
+        start_time=datetime.datetime.now(),
+        end_time=datetime.datetime.now(),
         status={
             SpanStatusFieldName.STATUS_CODE: "Ok",
         },
@@ -46,29 +60,28 @@ def persist_a_span(session_id: str, custom_attributes: typing.Optional[typing.Di
         resource={
             "attributes": {
                 "service.name": "promptflow",
-                "session.id": session_id,
+                "collection": collection,
             },
             "schema_url": "",
         },
-        span_type="Flow",
-        session_id=session_id,
+        events=custom_events,
     )
     span._persist()
-    return
+    return span
 
 
 # flask-restx uses marshmallow before response, so we do need this test class to execute end-to-end test
 @pytest.mark.e2etest
 class TestTrace:
-    def test_cumulative_token_count_type(self, pfs_op: PFSOperations, mock_session_id: str) -> None:
+    def test_cumulative_token_count_type(self, pfs_op: PFSOperations, mock_collection: str) -> None:
         completion_token_count, prompt_token_count, total_token_count = 1, 5620, 5621
         token_count_attributes = {
             SpanAttributeFieldName.CUMULATIVE_COMPLETION_TOKEN_COUNT: completion_token_count,
             SpanAttributeFieldName.CUMULATIVE_PROMPT_TOKEN_COUNT: prompt_token_count,
             SpanAttributeFieldName.CUMULATIVE_TOTAL_TOKEN_COUNT: total_token_count,
         }
-        persist_a_span(session_id=mock_session_id, custom_attributes=token_count_attributes)
-        response = pfs_op.list_line_runs(session_id=mock_session_id)
+        persist_a_span(collection=mock_collection, custom_attributes=token_count_attributes)
+        response = pfs_op.list_line_runs(collection=mock_collection)
         line_runs = response.json
         assert len(line_runs) == 1
         line_run = line_runs[0]
@@ -78,29 +91,29 @@ def test_cumulative_token_count_type(self, pfs_op: PFSOperations, mock_session_i
         assert cumulative_token_count[CumulativeTokenCountFieldName.PROMPT] == prompt_token_count
         assert cumulative_token_count[CumulativeTokenCountFieldName.TOTAL] == total_token_count
 
-    def test_evaluation_type(self, pfs_op: PFSOperations, mock_session_id: str) -> None:
-        persist_a_span(session_id=mock_session_id)
-        response = pfs_op.list_line_runs(session_id=mock_session_id)
-        line_run = response.json[0]
+    def test_evaluation_name(self, pfs_op: PFSOperations, mock_collection: str) -> None:
+        # mock batch run line
+        mock_batch_run_id = str(uuid.uuid4())
+        batch_run_attrs = {
+            SpanAttributeFieldName.BATCH_RUN_ID: mock_batch_run_id,
+            SpanAttributeFieldName.LINE_NUMBER: "0",
+        }
+        persist_a_span(collection=mock_collection, custom_attributes=batch_run_attrs)
+        # mock eval run line
+        mock_eval_run_id = str(uuid.uuid4())
+        eval_run_attrs = {
+            SpanAttributeFieldName.BATCH_RUN_ID: mock_eval_run_id,
+            SpanAttributeFieldName.REFERENCED_BATCH_RUN_ID: mock_batch_run_id,
+            SpanAttributeFieldName.LINE_NUMBER: "0",
+        }
+        persist_a_span(collection=mock_collection, custom_attributes=eval_run_attrs)
+        line_run = pfs_op.list_line_runs(runs=[mock_batch_run_id]).json[0]
         assert isinstance(line_run[LineRunFieldName.EVALUATIONS], dict)
+        assert len(line_run[LineRunFieldName.EVALUATIONS]) == 1
+        eval_line_run = list(line_run[LineRunFieldName.EVALUATIONS].values())[0]
+        assert LineRunFieldName.NAME in eval_line_run
 
-    def test_illegal_json_values(self, pfs_op: PFSOperations, mock_session_id: str) -> None:
-        output_string = json.dumps(
-            {
-                "NaN": float("nan"),
-                "Inf": float("inf"),
-                "-Inf": float("-inf"),
-            }
-        )
-        custom_attributes = {SpanAttributeFieldName.OUTPUT: output_string}
-        persist_a_span(session_id=mock_session_id, custom_attributes=custom_attributes)
-        line_run = pfs_op.list_line_runs(session_id=mock_session_id).json[0]
-        output = line_run[LineRunFieldName.OUTPUTS]
-        assert isinstance(output["NaN"], str) and output["NaN"] == "NaN"
-        assert isinstance(output["Inf"], str) and output["Inf"] == "Infinity"
-        assert isinstance(output["-Inf"], str) and output["-Inf"] == "-Infinity"
-
-    def test_list_evaluation_line_runs(self, pfs_op: PFSOperations, mock_session_id: str) -> None:
+    def test_list_evaluation_line_runs(self, pfs_op: PFSOperations, mock_collection: str) -> None:
         mock_batch_run_id = str(uuid.uuid4())
         mock_referenced_batch_run_id = str(uuid.uuid4())
         batch_run_attributes = {
@@ -108,6 +121,67 @@ def test_list_evaluation_line_runs(self, pfs_op: PFSOperations, mock_session_id:
             SpanAttributeFieldName.REFERENCED_BATCH_RUN_ID: mock_referenced_batch_run_id,
             SpanAttributeFieldName.LINE_NUMBER: "0",
         }
-        persist_a_span(session_id=mock_session_id, custom_attributes=batch_run_attributes)
+        persist_a_span(collection=mock_collection, custom_attributes=batch_run_attributes)
+        line_runs = pfs_op.list_line_runs(runs=[mock_batch_run_id]).json
+        assert len(line_runs) == 1
+
+    def test_list_eval_line_run_with_trace_id(self, pfs_op: PFSOperations, mock_collection: str) -> None:
+        mock_batch_run = str(uuid.uuid4())
+        mock_ref_batch_run = str(uuid.uuid4())
+        batch_run_attrs = {
+            SpanAttributeFieldName.BATCH_RUN_ID: mock_batch_run,
+            SpanAttributeFieldName.REFERENCED_BATCH_RUN_ID: mock_ref_batch_run,
+            SpanAttributeFieldName.LINE_NUMBER: "0",
+        }
+        span = persist_a_span(collection=mock_collection, custom_attributes=batch_run_attrs)
+        line_runs = pfs_op.list_line_runs(trace_ids=[span.trace_id]).json
+        assert len(line_runs) == 1
+
+    def test_list_running_line_run(self, pfs_op: PFSOperations, mock_collection: str) -> None:
+        mock_batch_run_id = str(uuid.uuid4())
+        mock_parent_id = str(uuid.uuid4())
+        batch_run_attributes = {
+            SpanAttributeFieldName.BATCH_RUN_ID: mock_batch_run_id,
+            SpanAttributeFieldName.LINE_NUMBER: "0",
+        }
+        persist_a_span(
+            collection=mock_collection,
+            custom_attributes=batch_run_attributes,
+            parent_id=mock_parent_id,
+        )
         line_runs = pfs_op.list_line_runs(runs=[mock_batch_run_id]).json
         assert len(line_runs) == 1
+        running_line_run = line_runs[0]
+        assert running_line_run[LineRunFieldName.STATUS] == RUNNING_LINE_RUN_STATUS
+
+    def test_list_line_runs_with_both_status(self, pfs_op: PFSOperations, mock_collection: str) -> None:
+        mock_batch_run_id = str(uuid.uuid4())
+        # running line run
+        mock_parent_id = str(uuid.uuid4())
+        batch_run_attributes = {
+            SpanAttributeFieldName.BATCH_RUN_ID: mock_batch_run_id,
+            SpanAttributeFieldName.LINE_NUMBER: "0",
+        }
+        persist_a_span(
+            collection=mock_collection,
+            custom_attributes=batch_run_attributes,
+            parent_id=mock_parent_id,
+        )
+        # completed line run
+        batch_run_attributes = {
+            SpanAttributeFieldName.BATCH_RUN_ID: mock_batch_run_id,
+            SpanAttributeFieldName.LINE_NUMBER: "1",
+        }
+        persist_a_span(
+            collection=mock_collection,
+            custom_attributes=batch_run_attributes,
+        )
+        # we have slightly different code path for query w/o runs and w/ runs
+        for line_runs in [
+            pfs_op.list_line_runs(collection=mock_collection).json,
+            pfs_op.list_line_runs(runs=[mock_batch_run_id]).json,
+        ]:
+            assert len(line_runs) == 2
+            # according to order by logic, the first line run is line 1, the completed
+            assert line_runs[0][LineRunFieldName.STATUS] == "Ok"
+            assert line_runs[1][LineRunFieldName.STATUS] == RUNNING_LINE_RUN_STATUS
diff --git a/src/promptflow/tests/sdk_pfs_test/utils.py b/src/promptflow/tests/sdk_pfs_test/utils.py
index 3d1c4c65fff..5279ca6273d 100644
--- a/src/promptflow/tests/sdk_pfs_test/utils.py
+++ b/src/promptflow/tests/sdk_pfs_test/utils.py
@@ -10,6 +10,8 @@
 import werkzeug
 from flask.testing import FlaskClient
 
+from promptflow._sdk._service.utils.utils import encrypt_flow_path
+
 
 @contextlib.contextmanager
 def check_activity_end_telemetry(
@@ -31,7 +33,7 @@ def check_activity_end_telemetry(
             "first_call": True,
             "activity_type": "PublicApi",
             "completion_status": "Success",
-            "user_agent": f"promptflow-sdk/0.0.1 Werkzeug/{werkzeug.__version__} local_pfs/0.0.1",
+            "user_agent": [f"Werkzeug/{werkzeug.__version__}", "local_pfs/0.0.1"],
         }
         for i, expected_activity in enumerate(expected_activities):
             temp = default_expected_call.copy()
@@ -39,6 +41,9 @@ def check_activity_end_telemetry(
             expected_activity = temp
             for key, expected_value in expected_activity.items():
                 value = actual_activities[i][key]
+                if isinstance(expected_value, list):
+                    value = list(sorted(value.split(" ")))
+                    expected_value = list(sorted(expected_value))
                 assert (
                     value == expected_value
                 ), f"{key} mismatch in {i+1}th call: expect {expected_value} but got {value}"
@@ -50,11 +55,18 @@ class PFSOperations:
     RUN_URL_PREFIX = "/v1.0/Runs"
     TELEMETRY_PREFIX = "/v1.0/Telemetries"
     LINE_RUNS_PREFIX = "/v1.0/LineRuns"
+    Flow_URL_PREFIX = "/v1.0/Flows"
+    UI_URL_PREFIX = "/v1.0/ui"
 
     def __init__(self, client: FlaskClient):
         self._client = client
 
-    def remote_user_header(self):
+    def remote_user_header(self, user_agent=None):
+        if user_agent:
+            return {
+                "X-Remote-User": getpass.getuser(),
+                "User-Agent": user_agent,
+            }
         return {"X-Remote-User": getpass.getuser()}
 
     def heartbeat(self):
@@ -67,8 +79,10 @@ def connection_operation_with_invalid_user(self, status_code=None):
             assert status_code == response.status_code, response.text
         return response
 
-    def list_connections(self, status_code=None):
-        response = self._client.get(f"{self.CONNECTION_URL_PREFIX}/", headers=self.remote_user_header())
+    def list_connections(self, status_code=None, user_agent=None):
+        response = self._client.get(
+            f"{self.CONNECTION_URL_PREFIX}/", headers=self.remote_user_header(user_agent=user_agent)
+        )
         if status_code:
             assert status_code == response.status_code, response.text
         return response
@@ -222,15 +236,63 @@ def create_telemetry(self, *, body, headers, status_code=None):
 
     # trace APIs
     # LineRuns
-    def list_line_runs(self, *, session_id: Optional[str] = None, runs: Optional[List[str]] = None):
+    def list_line_runs(
+        self,
+        *,
+        collection: Optional[str] = None,
+        runs: Optional[List[str]] = None,
+        trace_ids: Optional[List[str]] = None,
+    ):
         query_string = {}
-        if session_id is not None:
-            query_string["session"] = session_id
+        if collection is not None:
+            query_string["collection"] = collection
         if runs is not None:
             query_string["run"] = ",".join(runs)
+        if trace_ids is not None:
+            query_string["trace_ids"] = ",".join(trace_ids)
         response = self._client.get(
             f"{self.LINE_RUNS_PREFIX}/list",
             query_string=query_string,
             headers=self.remote_user_header(),
         )
         return response
+
+    def get_flow(self, flow_path: str, status_code=None):
+        flow_path = encrypt_flow_path(flow_path)
+        query_string = {"flow": flow_path}
+        response = self._client.get(f"{self.Flow_URL_PREFIX}/get", query_string=query_string)
+        if status_code:
+            assert status_code == response.status_code, response.text
+        return response
+
+    def test_flow(self, flow_path, request_body, status_code=None):
+        flow_path = encrypt_flow_path(flow_path)
+        query_string = {"flow": flow_path}
+        response = self._client.post(f"{self.Flow_URL_PREFIX}/test", json=request_body, query_string=query_string)
+        if status_code:
+            assert status_code == response.status_code, response.text
+        return response
+
+    def get_flow_ux_inputs(self, flow_path: str, status_code=None):
+        flow_path = encrypt_flow_path(flow_path)
+        query_string = {"flow": flow_path}
+        response = self._client.get(f"{self.Flow_URL_PREFIX}/ux_inputs", query_string=query_string)
+        if status_code:
+            assert status_code == response.status_code, response.text
+        return response
+
+    def save_flow_image(self, flow_path: str, request_body, status_code=None):
+        flow_path = encrypt_flow_path(flow_path)
+        query_string = {"flow": flow_path}
+        response = self._client.post(f"{self.UI_URL_PREFIX}/media_save", json=request_body, query_string=query_string)
+        if status_code:
+            assert status_code == response.status_code, response.text
+        return response
+
+    def show_image(self, flow_path: str, image_path: str, status_code=None):
+        flow_path = encrypt_flow_path(flow_path)
+        query_string = {"flow": flow_path, "image_path": image_path}
+        response = self._client.get(f"{self.UI_URL_PREFIX}/media", query_string=query_string)
+        if status_code:
+            assert status_code == response.status_code, response.text
+        return response
diff --git a/src/promptflow/tests/test_configs/datas/env_var_new_key.jsonl b/src/promptflow/tests/test_configs/datas/env_var_new_key.jsonl
new file mode 100644
index 00000000000..f6ff8afc9e1
--- /dev/null
+++ b/src/promptflow/tests/test_configs/datas/env_var_new_key.jsonl
@@ -0,0 +1 @@
+{"key": "NEW_KEY"}
diff --git a/src/promptflow/tests/test_configs/datas/env_var_test.jsonl b/src/promptflow/tests/test_configs/datas/env_var_test.jsonl
new file mode 100644
index 00000000000..e6d39c32d59
--- /dev/null
+++ b/src/promptflow/tests/test_configs/datas/env_var_test.jsonl
@@ -0,0 +1 @@
+{"key": "TEST"}
diff --git a/src/promptflow/tests/test_configs/datas/simple_hello_world_multi_lines.jsonl b/src/promptflow/tests/test_configs/datas/simple_hello_world_multi_lines.jsonl
new file mode 100644
index 00000000000..37b04a05fb6
--- /dev/null
+++ b/src/promptflow/tests/test_configs/datas/simple_hello_world_multi_lines.jsonl
@@ -0,0 +1,15 @@
+{"name": "promptflow1"}
+{"name": "promptflow2"}
+{"name": "promptflow3"}
+{"name": "promptflow4"}
+{"name": "promptflow5"}
+{"name": "promptflow6"}
+{"name": "promptflow7"}
+{"name": "promptflow8"}
+{"name": "promptflow9"}
+{"name": "promptflow10"}
+{"name": "promptflow11"}
+{"name": "promptflow12"}
+{"name": "promptflow13"}
+{"name": "promptflow14"}
+{"name": "promptflow15"}
\ No newline at end of file
diff --git a/src/promptflow/tests/test_configs/eager_flows/basic_callable_class/flow.dag.yaml b/src/promptflow/tests/test_configs/eager_flows/basic_callable_class/flow.dag.yaml
new file mode 100644
index 00000000000..ac6e7910bb5
--- /dev/null
+++ b/src/promptflow/tests/test_configs/eager_flows/basic_callable_class/flow.dag.yaml
@@ -0,0 +1 @@
+entry: simple_callable_class:MyFlow
diff --git a/src/promptflow/tests/test_configs/eager_flows/basic_callable_class/inputs.jsonl b/src/promptflow/tests/test_configs/eager_flows/basic_callable_class/inputs.jsonl
new file mode 100644
index 00000000000..cf192f44c3e
--- /dev/null
+++ b/src/promptflow/tests/test_configs/eager_flows/basic_callable_class/inputs.jsonl
@@ -0,0 +1,4 @@
+{"func_input": "func_input"}
+{"func_input": "func_input"}
+{"func_input": "func_input"}
+{"func_input": "func_input"}
\ No newline at end of file
diff --git a/src/promptflow/tests/test_configs/eager_flows/basic_callable_class/run.yaml b/src/promptflow/tests/test_configs/eager_flows/basic_callable_class/run.yaml
new file mode 100644
index 00000000000..0721b380328
--- /dev/null
+++ b/src/promptflow/tests/test_configs/eager_flows/basic_callable_class/run.yaml
@@ -0,0 +1,5 @@
+description: sample bulk run
+flow: ./
+data: ./inputs.jsonl
+init:
+  obj_input: val
diff --git a/src/promptflow/tests/test_configs/eager_flows/basic_callable_class/simple_callable_class.py b/src/promptflow/tests/test_configs/eager_flows/basic_callable_class/simple_callable_class.py
new file mode 100644
index 00000000000..326ed5b3bd0
--- /dev/null
+++ b/src/promptflow/tests/test_configs/eager_flows/basic_callable_class/simple_callable_class.py
@@ -0,0 +1,21 @@
+# ---------------------------------------------------------
+# Copyright (c) Microsoft Corporation. All rights reserved.
+# ---------------------------------------------------------
+
+class MyFlow:
+    def __init__(self, obj_input: str):
+        self.obj_input = obj_input
+
+    def __call__(self, func_input: str) -> dict:
+        return {
+            "obj_input": self.obj_input,
+            "func_input": func_input,
+            "obj_id": id(self),
+        }
+
+
+if __name__ == "__main__":
+    flow = MyFlow("obj_input")
+    result = flow("func_input")
+    print(result)
+
diff --git a/src/promptflow/tests/test_configs/eager_flows/builtin_llm/builtin_call.py b/src/promptflow/tests/test_configs/eager_flows/builtin_llm/builtin_call.py
new file mode 100644
index 00000000000..5be3c0207d0
--- /dev/null
+++ b/src/promptflow/tests/test_configs/eager_flows/builtin_llm/builtin_call.py
@@ -0,0 +1,50 @@
+# ---------------------------------------------------------
+# Copyright (c) Microsoft Corporation. All rights reserved.
+# ---------------------------------------------------------
+
+import os
+from pathlib import Path
+
+from dotenv import load_dotenv
+from jinja2 import Template
+
+from promptflow._sdk.entities import AzureOpenAIConnection
+from promptflow.tools.aoai import chat
+
+BASE_DIR = Path(__file__).absolute().parent
+
+
+def load_prompt(jinja2_template: str, question: str, chat_history: list) -> str:
+    """Load prompt function."""
+    with open(BASE_DIR / jinja2_template, "r", encoding="utf-8") as f:
+        tmpl = Template(f.read(), trim_blocks=True, keep_trailing_newline=True)
+        prompt = tmpl.render(question=question, chat_history=chat_history)
+        return prompt
+
+
+def flow_entry(question: str = "What is ChatGPT?", chat_history: list = [], stream: bool = False) -> str:
+    """Flow entry function."""
+
+    prompt = load_prompt("chat.jinja2", question, chat_history)
+    if "OPENAI_API_KEY" not in os.environ:
+        # load environment variables from .env file
+        load_dotenv()
+
+    if "OPENAI_API_KEY" not in os.environ:
+        raise Exception("Please specify environment variables: OPENAI_API_KEY")
+
+    connection = AzureOpenAIConnection(
+        api_key=os.environ["OPENAI_API_KEY"],
+        api_base=os.environ["AZURE_OPENAI_ENDPOINT"],
+        api_version=os.environ.get("OPENAI_API_VERSION", "2023-07-01-preview"),
+    )
+
+    output = chat(
+        connection=connection,
+        prompt=prompt,
+        deployment_name="gpt-35-turbo",
+        max_tokens=256,
+        temperature=0.7,
+        stream=stream
+    )
+    return output
diff --git a/src/promptflow/tests/test_configs/eager_flows/builtin_llm/chat.jinja2 b/src/promptflow/tests/test_configs/eager_flows/builtin_llm/chat.jinja2
new file mode 100644
index 00000000000..c5e811e1969
--- /dev/null
+++ b/src/promptflow/tests/test_configs/eager_flows/builtin_llm/chat.jinja2
@@ -0,0 +1,12 @@
+system:
+You are a helpful assistant.
+
+{% for item in chat_history %}
+user:
+{{item.inputs.question}}
+assistant:
+{{item.outputs.answer}}
+{% endfor %}
+
+user:
+{{question}}
\ No newline at end of file
diff --git a/src/promptflow/tests/test_configs/eager_flows/builtin_llm/flow.dag.yaml b/src/promptflow/tests/test_configs/eager_flows/builtin_llm/flow.dag.yaml
new file mode 100644
index 00000000000..384d179afb1
--- /dev/null
+++ b/src/promptflow/tests/test_configs/eager_flows/builtin_llm/flow.dag.yaml
@@ -0,0 +1 @@
+entry: builtin_call:flow_entry
\ No newline at end of file
diff --git a/src/promptflow/tests/test_configs/eager_flows/callable_flow_with_init_exception/flow.dag.yaml b/src/promptflow/tests/test_configs/eager_flows/callable_flow_with_init_exception/flow.dag.yaml
new file mode 100644
index 00000000000..759d1ae1a6e
--- /dev/null
+++ b/src/promptflow/tests/test_configs/eager_flows/callable_flow_with_init_exception/flow.dag.yaml
@@ -0,0 +1 @@
+entry: flow_with_init_exception:MyFlow
diff --git a/src/promptflow/tests/test_configs/eager_flows/callable_flow_with_init_exception/flow_with_init_exception.py b/src/promptflow/tests/test_configs/eager_flows/callable_flow_with_init_exception/flow_with_init_exception.py
new file mode 100644
index 00000000000..e6a2fa6006d
--- /dev/null
+++ b/src/promptflow/tests/test_configs/eager_flows/callable_flow_with_init_exception/flow_with_init_exception.py
@@ -0,0 +1,20 @@
+# ---------------------------------------------------------
+# Copyright (c) Microsoft Corporation. All rights reserved.
+# ---------------------------------------------------------
+
+class MyFlow:
+    def __init__(self):
+        raise Exception("This is an exception")
+
+    def __call__(self, func_input: str) -> dict:
+        return {
+            "func_input": func_input,
+            "obj_id": id(self),
+        }
+
+
+if __name__ == "__main__":
+    flow = MyFlow()
+    result = flow("func_input")
+    print(result)
+
diff --git a/src/promptflow/tests/test_configs/eager_flows/dummy_flow_with_trace/flow_with_trace.meta.json b/src/promptflow/tests/test_configs/eager_flows/dummy_flow_with_trace/flow_with_trace.meta.json
index 03a9423d9cf..cbedb9d394a 100644
--- a/src/promptflow/tests/test_configs/eager_flows/dummy_flow_with_trace/flow_with_trace.meta.json
+++ b/src/promptflow/tests/test_configs/eager_flows/dummy_flow_with_trace/flow_with_trace.meta.json
@@ -3,10 +3,12 @@
     "entry": "flow_with_trace:my_flow",
     "inputs": {
         "text": {
-            "type": "string"
+            "type": "string",
+            "default": "default_text"
         },
         "models": {
-            "type": "list"
+            "type": "list",
+            "default": "['default_model']"
         }
     },
     "outputs": {
diff --git a/src/promptflow/tests/test_configs/eager_flows/dummy_flow_with_trace/flow_with_trace.py b/src/promptflow/tests/test_configs/eager_flows/dummy_flow_with_trace/flow_with_trace.py
index 00bc2c4144b..5e185aec61c 100644
--- a/src/promptflow/tests/test_configs/eager_flows/dummy_flow_with_trace/flow_with_trace.py
+++ b/src/promptflow/tests/test_configs/eager_flows/dummy_flow_with_trace/flow_with_trace.py
@@ -14,7 +14,7 @@ async def dummy_llm(prompt: str, model: str, wait_seconds: int):
     return prompt
 
 
-async def my_flow(text: str, models: list = []) -> str:
+async def my_flow(text: str = "default_text", models: list = ["default_model"]) -> str:
     tasks = []
     for i, model in enumerate(models):
         tasks.append(asyncio.create_task(dummy_llm(text, model, i + 1)))
diff --git a/src/promptflow/tests/test_configs/eager_flows/evc_connection_not_exist/evc.py b/src/promptflow/tests/test_configs/eager_flows/evc_connection_not_exist/evc.py
new file mode 100644
index 00000000000..a91b490a4e7
--- /dev/null
+++ b/src/promptflow/tests/test_configs/eager_flows/evc_connection_not_exist/evc.py
@@ -0,0 +1,9 @@
+# ---------------------------------------------------------
+# Copyright (c) Microsoft Corporation. All rights reserved.
+# ---------------------------------------------------------
+import os
+
+
+def evc_flow():
+    """Simple flow without yaml."""
+    return f"Hello world! {os.environ.get('TEST')}"
diff --git a/src/promptflow/tests/test_configs/eager_flows/evc_connection_not_exist/flow.dag.yaml b/src/promptflow/tests/test_configs/eager_flows/evc_connection_not_exist/flow.dag.yaml
new file mode 100644
index 00000000000..c0a2b0d0325
--- /dev/null
+++ b/src/promptflow/tests/test_configs/eager_flows/evc_connection_not_exist/flow.dag.yaml
@@ -0,0 +1,3 @@
+entry: evc:evc_flow
+environment_variables:
+  TEST: ${not_exist.api_type}
\ No newline at end of file
diff --git a/src/promptflow/tests/test_configs/eager_flows/flow_with_dataclass_output/flow_with_dataclass.meta.json b/src/promptflow/tests/test_configs/eager_flows/flow_with_dataclass_output/flow_with_dataclass.meta.json
index beccff65862..81031b8f020 100644
--- a/src/promptflow/tests/test_configs/eager_flows/flow_with_dataclass_output/flow_with_dataclass.meta.json
+++ b/src/promptflow/tests/test_configs/eager_flows/flow_with_dataclass_output/flow_with_dataclass.meta.json
@@ -3,10 +3,12 @@
     "entry": "flow_with_dataclass:my_flow",
     "inputs": {
         "text": {
-            "type": "string"
+            "type": "string",
+            "default": "default_text"
         },
         "models": {
-            "type": "list"
+            "type": "list",
+            "default": "['default_model']"
         }
     },
     "outputs": {
diff --git a/src/promptflow/tests/test_configs/eager_flows/flow_with_operation_context/flow_with_context.py b/src/promptflow/tests/test_configs/eager_flows/flow_with_operation_context/flow_with_context.py
index eb8d5d532a5..46acf67a974 100644
--- a/src/promptflow/tests/test_configs/eager_flows/flow_with_operation_context/flow_with_context.py
+++ b/src/promptflow/tests/test_configs/eager_flows/flow_with_operation_context/flow_with_context.py
@@ -1,4 +1,4 @@
-from promptflow._core.operation_context import OperationContext
+from promptflow.tracing._operation_context import OperationContext
 
 
 def my_flow():
diff --git a/src/promptflow/tests/test_configs/eager_flows/invalid_illegal_entry/flow.dag.yaml b/src/promptflow/tests/test_configs/eager_flows/invalid_illegal_entry/flow.dag.yaml
new file mode 100644
index 00000000000..8f85f6aa58c
--- /dev/null
+++ b/src/promptflow/tests/test_configs/eager_flows/invalid_illegal_entry/flow.dag.yaml
@@ -0,0 +1 @@
+entry: module:my_func
diff --git a/src/promptflow/tests/test_configs/eager_flows/multiple_entries/entry1.py b/src/promptflow/tests/test_configs/eager_flows/multiple_entries/entry1.py
index 574007efefd..5c5ea2c3986 100644
--- a/src/promptflow/tests/test_configs/eager_flows/multiple_entries/entry1.py
+++ b/src/promptflow/tests/test_configs/eager_flows/multiple_entries/entry1.py
@@ -5,8 +5,10 @@
 def my_flow1():
     """Simple flow without yaml."""
     print("Hello world!")
+    return "entry1flow1"
 
 
 def my_flow2():
     """Simple flow without yaml."""
     print("Hello world!")
+    return "entry1flow2"
diff --git a/src/promptflow/tests/test_configs/eager_flows/multiple_entries/entry2.py b/src/promptflow/tests/test_configs/eager_flows/multiple_entries/entry2.py
index 574007efefd..e0020b50969 100644
--- a/src/promptflow/tests/test_configs/eager_flows/multiple_entries/entry2.py
+++ b/src/promptflow/tests/test_configs/eager_flows/multiple_entries/entry2.py
@@ -5,8 +5,10 @@
 def my_flow1():
     """Simple flow without yaml."""
     print("Hello world!")
+    return "entry2flow1"
 
 
 def my_flow2():
     """Simple flow without yaml."""
     print("Hello world!")
+    return "entry2flow2"
diff --git a/src/promptflow/tests/test_configs/eager_flows/multiple_entries/flow.dag.yaml b/src/promptflow/tests/test_configs/eager_flows/multiple_entries/flow.dag.yaml
new file mode 100644
index 00000000000..1f08120715d
--- /dev/null
+++ b/src/promptflow/tests/test_configs/eager_flows/multiple_entries/flow.dag.yaml
@@ -0,0 +1 @@
+entry: entry1:my_flow1
diff --git a/src/promptflow/tests/test_configs/eager_flows/multiple_stream_outputs/flow.dag.yaml b/src/promptflow/tests/test_configs/eager_flows/multiple_stream_outputs/flow.dag.yaml
new file mode 100644
index 00000000000..0754adaae0d
--- /dev/null
+++ b/src/promptflow/tests/test_configs/eager_flows/multiple_stream_outputs/flow.dag.yaml
@@ -0,0 +1 @@
+entry: multiple_stream_outputs:my_flow
\ No newline at end of file
diff --git a/src/promptflow/tests/test_configs/eager_flows/multiple_stream_outputs/multiple_stream_outputs.py b/src/promptflow/tests/test_configs/eager_flows/multiple_stream_outputs/multiple_stream_outputs.py
new file mode 100644
index 00000000000..6cb1200f5e8
--- /dev/null
+++ b/src/promptflow/tests/test_configs/eager_flows/multiple_stream_outputs/multiple_stream_outputs.py
@@ -0,0 +1,10 @@
+# ---------------------------------------------------------
+# Copyright (c) Microsoft Corporation. All rights reserved.
+# ---------------------------------------------------------
+def my_flow(input_val: str = "gpt") -> dict:
+    generator1 = (i for i in range(10))
+    generator2 = (i for i in range(10))
+    return {
+        "output1": generator1,
+        "output2": generator2,
+    }
\ No newline at end of file
diff --git a/src/promptflow/tests/test_configs/eager_flows/multiple_stream_outputs_dataclass/flow.dag.yaml b/src/promptflow/tests/test_configs/eager_flows/multiple_stream_outputs_dataclass/flow.dag.yaml
new file mode 100644
index 00000000000..a07536bde52
--- /dev/null
+++ b/src/promptflow/tests/test_configs/eager_flows/multiple_stream_outputs_dataclass/flow.dag.yaml
@@ -0,0 +1 @@
+entry: multiple_stream_outputs_dataclass:my_flow
\ No newline at end of file
diff --git a/src/promptflow/tests/test_configs/eager_flows/multiple_stream_outputs_dataclass/multiple_stream_outputs_dataclass.py b/src/promptflow/tests/test_configs/eager_flows/multiple_stream_outputs_dataclass/multiple_stream_outputs_dataclass.py
new file mode 100644
index 00000000000..544ce40b667
--- /dev/null
+++ b/src/promptflow/tests/test_configs/eager_flows/multiple_stream_outputs_dataclass/multiple_stream_outputs_dataclass.py
@@ -0,0 +1,18 @@
+# ---------------------------------------------------------
+# Copyright (c) Microsoft Corporation. All rights reserved.
+# ---------------------------------------------------------
+from dataclasses import dataclass
+
+@dataclass
+class MyOutput:
+    output1: str
+    output2: str
+
+
+def my_flow(input_val: str = "gpt") -> MyOutput:
+    generator1 = (i for i in range(10))
+    generator2 = (i for i in range(10))
+    return MyOutput(
+        output1=generator1,
+        output2=generator2,
+    )
diff --git a/src/promptflow/tests/test_configs/eager_flows/print_environment_variables/flow.dag.yaml b/src/promptflow/tests/test_configs/eager_flows/print_environment_variables/flow.dag.yaml
new file mode 100644
index 00000000000..aa0fc845d9b
--- /dev/null
+++ b/src/promptflow/tests/test_configs/eager_flows/print_environment_variables/flow.dag.yaml
@@ -0,0 +1,3 @@
+entry: print_env_var:env_var_flow
+environment_variables:
+  TEST: VAL
\ No newline at end of file
diff --git a/src/promptflow/tests/test_configs/eager_flows/print_environment_variables/print_env_var.py b/src/promptflow/tests/test_configs/eager_flows/print_environment_variables/print_env_var.py
new file mode 100644
index 00000000000..861c4512786
--- /dev/null
+++ b/src/promptflow/tests/test_configs/eager_flows/print_environment_variables/print_env_var.py
@@ -0,0 +1,9 @@
+# ---------------------------------------------------------
+# Copyright (c) Microsoft Corporation. All rights reserved.
+# ---------------------------------------------------------
+import os
+
+
+def env_var_flow(key):
+    """Simple flow without yaml."""
+    return f"Hello world! {os.environ.get(key)}"
diff --git a/src/promptflow/tests/test_configs/eager_flows/stream_output/flow.dag.yaml b/src/promptflow/tests/test_configs/eager_flows/stream_output/flow.dag.yaml
new file mode 100644
index 00000000000..c46b32fdc30
--- /dev/null
+++ b/src/promptflow/tests/test_configs/eager_flows/stream_output/flow.dag.yaml
@@ -0,0 +1 @@
+entry: stream_output:my_flow
\ No newline at end of file
diff --git a/src/promptflow/tests/test_configs/eager_flows/stream_output/stream_output.py b/src/promptflow/tests/test_configs/eager_flows/stream_output/stream_output.py
new file mode 100644
index 00000000000..b2cfaae40b6
--- /dev/null
+++ b/src/promptflow/tests/test_configs/eager_flows/stream_output/stream_output.py
@@ -0,0 +1,8 @@
+# ---------------------------------------------------------
+# Copyright (c) Microsoft Corporation. All rights reserved.
+# ---------------------------------------------------------
+import time
+def my_flow(input_val: str = "gpt") -> str:
+    for c in "Hello world! ":
+        time.sleep(1)
+        yield c
diff --git a/src/promptflow/tests/test_configs/experiments/chat-group-node-exp-template/exp.yaml b/src/promptflow/tests/test_configs/experiments/chat-group-node-exp-template/exp.yaml
new file mode 100644
index 00000000000..02d393cef70
--- /dev/null
+++ b/src/promptflow/tests/test_configs/experiments/chat-group-node-exp-template/exp.yaml
@@ -0,0 +1,42 @@
+$schema: https://azuremlschemas.azureedge.net/promptflow/latest/Experiment.schema.json
+
+description: Basic experiment with chat group node
+
+# Specify data for experiment run
+data:
+  - name: my_data
+    path: ../../flows/chat_group_eval_history/data.jsonl
+
+inputs:
+  - name: model_name
+    type: string
+    default: gpt-4
+
+nodes:
+  # multi turn conversation is described as a chat group, which contains a copilot flow and question simulation flow
+  - name: multi_turn_chat
+    type: chat_group
+    max_turns: 4
+    stop_signal: "[STOP]"
+    roles:
+      - role: assistant
+        path: ../../flows/chat_group_copilot
+        inputs:
+          question: ${data.my_data.question}
+          model: ${inputs.model_name}
+          conversation_history: ${parent.conversation_history}
+      - role: user
+        path: ../../flows/chat_group_simulation
+        inputs:
+          question: ${data.my_data.question}
+          ground_truth: ${data.my_data.ground_truth}
+          conversation_history: ${parent.conversation_history}
+
+  # evaluate the chat history
+  - name: eval_history
+    type: flow
+    path: ../../flows/chat_group_eval_history
+    inputs:
+      question: ${data.my_data.question}
+      ground_truth: ${data.my_data.ground_truth}
+      conversation_history: ${multi_turn_chat.conversation_history}
diff --git a/src/promptflow/tests/test_configs/flows/assistant-tool-with-connection/add_message_and_run.py b/src/promptflow/tests/test_configs/flows/assistant-tool-with-connection/add_message_and_run.py
index 22fa4ef4900..f967123d3a9 100644
--- a/src/promptflow/tests/test_configs/flows/assistant-tool-with-connection/add_message_and_run.py
+++ b/src/promptflow/tests/test_configs/flows/assistant-tool-with-connection/add_message_and_run.py
@@ -3,7 +3,7 @@
 from typing import Union
 
 from openai import AsyncAzureOpenAI, AsyncOpenAI
-from openai.types.beta.threads import MessageContentImageFile, MessageContentText
+from openai.types.beta.threads import TextContentBlock, ImageFileContentBlock
 
 from promptflow import tool
 from promptflow.connections import OpenAIConnection, AzureOpenAIConnection
@@ -194,13 +194,13 @@ async def get_openai_file_references(content: list, download_image: bool,
     file_id_references = {}
     file_id = None
     for item in content:
-        if isinstance(item, MessageContentImageFile):
+        if isinstance(item, ImageFileContentBlock):
             file_id = item.image_file.file_id
             if download_image:
                 file_id_references[file_id] = {
                     "content": await download_openai_image(file_id, conn),
                 }
-        elif isinstance(item, MessageContentText):
+        elif isinstance(item, TextContentBlock):
             for annotation in item.text.annotations:
                 if annotation.type == "file_path":
                     file_id = annotation.file_path.file_id
@@ -223,10 +223,10 @@ async def get_openai_file_references(content: list, download_image: bool,
 def to_pf_content(content: list):
     pf_content = []
     for item in content:
-        if isinstance(item, MessageContentImageFile):
+        if isinstance(item, ImageFileContentBlock):
             file_id = item.image_file.file_id
             pf_content.append({"type": "image_file", "image_file": {"file_id": file_id}})
-        elif isinstance(item, MessageContentText):
+        elif isinstance(item, TextContentBlock):
             text_dict = {"type": "text", "text": {"value": item.text.value, "annotations": []}}
             for annotation in item.text.annotations:
                 annotation_dict = {
diff --git a/src/promptflow/tests/test_configs/flows/assistant-with-file/add_message_and_run.py b/src/promptflow/tests/test_configs/flows/assistant-with-file/add_message_and_run.py
index 5def67f33e3..f967123d3a9 100644
--- a/src/promptflow/tests/test_configs/flows/assistant-with-file/add_message_and_run.py
+++ b/src/promptflow/tests/test_configs/flows/assistant-with-file/add_message_and_run.py
@@ -3,14 +3,16 @@
 from typing import Union
 
 from openai import AsyncAzureOpenAI, AsyncOpenAI
-from openai.types.beta.threads import MessageContentImageFile, MessageContentText
+from openai.types.beta.threads import TextContentBlock, ImageFileContentBlock
 
-from promptflow import tool, trace
+from promptflow import tool
 from promptflow.connections import OpenAIConnection, AzureOpenAIConnection
 from promptflow.contracts.multimedia import Image
 from promptflow.contracts.types import AssistantDefinition
 from promptflow.exceptions import SystemErrorException
 from promptflow.executor._assistant_tool_invoker import AssistantToolInvoker
+from promptflow.tracing import trace
+
 from get_assistant_client import get_assistant_client
 
 URL_PREFIX = "https://platform.openai.com/files/"
@@ -192,13 +194,13 @@ async def get_openai_file_references(content: list, download_image: bool,
     file_id_references = {}
     file_id = None
     for item in content:
-        if isinstance(item, MessageContentImageFile):
+        if isinstance(item, ImageFileContentBlock):
             file_id = item.image_file.file_id
             if download_image:
                 file_id_references[file_id] = {
                     "content": await download_openai_image(file_id, conn),
                 }
-        elif isinstance(item, MessageContentText):
+        elif isinstance(item, TextContentBlock):
             for annotation in item.text.annotations:
                 if annotation.type == "file_path":
                     file_id = annotation.file_path.file_id
@@ -221,10 +223,10 @@ async def get_openai_file_references(content: list, download_image: bool,
 def to_pf_content(content: list):
     pf_content = []
     for item in content:
-        if isinstance(item, MessageContentImageFile):
+        if isinstance(item, ImageFileContentBlock):
             file_id = item.image_file.file_id
             pf_content.append({"type": "image_file", "image_file": {"file_id": file_id}})
-        elif isinstance(item, MessageContentText):
+        elif isinstance(item, TextContentBlock):
             text_dict = {"type": "text", "text": {"value": item.text.value, "annotations": []}}
             for annotation in item.text.annotations:
                 annotation_dict = {
diff --git a/src/promptflow/tests/test_configs/flows/assistant-with-package-tool/README.md b/src/promptflow/tests/test_configs/flows/assistant-with-package-tool/README.md
new file mode 100644
index 00000000000..3fb2d9b3b7a
--- /dev/null
+++ b/src/promptflow/tests/test_configs/flows/assistant-with-package-tool/README.md
@@ -0,0 +1,52 @@
+# Chat with Calorie Assistant
+
+This sample shows how to embed package tool into assistant.
+
+Tools used in this flow：
+- `add_message_and_run` tool, assistant tool, provisioned with below inner functions:
+   - `say_hello``: simple say hello method
+
+## Prerequisites
+
+Install promptflow sdk and other dependencies in this folder:
+```sh
+pip install -r requirements.txt
+```
+
+## What you will learn
+
+In this flow, you will understand how assistant tools within PromptFlow are triggered by user prompts. The assistant tool decides which internal functions or tools to invoke based on the input provided. Your responsibility involves implementing each of these tools and registering them in the `assistant_definition`. Additionally, be aware that the tools may have dependencies on each other, affecting the order and manner of their invocation.
+
+
+## Getting started
+
+### 1. Create assistant connection (openai)
+Go to "Prompt flow" "Connections" tab. Click on "Create" button, select one of assistant tool supported connection types and fill in the configurations.
+
+Currently, only "Open AI" connection type are supported for assistant tool. Please refer to [OpenAI](https://platform.openai.com/) for more details.
+
+```bash
+# Override keys with --set to avoid yaml file changes
+pf connection create --file ../../../connections/openai.yml --set api_key=<your_api_key>
+```
+
+Note in [flow.dag.yaml](flow.dag.yaml) we are using connection named `open_ai_connection`.
+```bash
+# show registered connection
+pf connection show --name open_ai_connection
+```
+
+### 2. Create or get assistant/thread
+
+Navigate to the OpenAI Assistant page and create an assistant if you haven't already. Once created, click on the 'Test' button to enter the assistant's playground. Make sure to note down the assistant_id.
+
+**[Optional]** Start a chat session to create thread automatically. Keep track of the thread_id.
+
+
+### 3. run the flow
+
+```bash
+# run chat flow with default question in flow.dag.yaml
+pf flow test --flow . --interactive --multi-modal --user-agent "prompt-flow-extension/1.8.0 (win32; x64) VSCode/1.85.1"
+
+```
diff --git a/src/promptflow/tests/test_configs/flows/assistant-with-package-tool/add_message_and_run.py b/src/promptflow/tests/test_configs/flows/assistant-with-package-tool/add_message_and_run.py
new file mode 100644
index 00000000000..f967123d3a9
--- /dev/null
+++ b/src/promptflow/tests/test_configs/flows/assistant-with-package-tool/add_message_and_run.py
@@ -0,0 +1,256 @@
+import asyncio
+import json
+from typing import Union
+
+from openai import AsyncAzureOpenAI, AsyncOpenAI
+from openai.types.beta.threads import TextContentBlock, ImageFileContentBlock
+
+from promptflow import tool
+from promptflow.connections import OpenAIConnection, AzureOpenAIConnection
+from promptflow.contracts.multimedia import Image
+from promptflow.contracts.types import AssistantDefinition
+from promptflow.exceptions import SystemErrorException
+from promptflow.executor._assistant_tool_invoker import AssistantToolInvoker
+from promptflow.tracing import trace
+
+from get_assistant_client import get_assistant_client
+
+URL_PREFIX = "https://platform.openai.com/files/"
+RUN_STATUS_POLLING_INTERVAL_IN_MILSEC = 1000
+
+
+@tool
+async def add_message_and_run(
+        conn: Union[AzureOpenAIConnection, OpenAIConnection],
+        assistant_id: str,
+        thread_id: str,
+        message: list,
+        assistant_definition: AssistantDefinition,
+        download_images: bool,
+):
+    cli = await get_assistant_client(conn)
+    invoker = assistant_definition._tool_invoker
+    # Check if assistant id is valid. If not, create a new assistant.
+    # Note: tool registration at run creation, rather than at assistant creation.
+    if not assistant_id:
+        assistant = await create_assistant(cli, assistant_definition)
+        assistant_id = assistant.id
+
+    await add_message(cli, message, thread_id)
+
+    run = await start_run(cli, assistant_id, thread_id, assistant_definition, invoker)
+
+    await wait_for_run_complete(cli, thread_id, invoker, run)
+
+    messages = await get_message(cli, thread_id)
+
+    file_id_references = await get_openai_file_references(messages.data[0].content, download_images, conn)
+    return {"content": to_pf_content(messages.data[0].content), "file_id_references": file_id_references}
+
+
+@trace
+async def create_assistant(cli: Union[AsyncOpenAI, AsyncAzureOpenAI], assistant_definition: AssistantDefinition):
+    assistant = await cli.beta.assistants.create(
+        instructions=assistant_definition.instructions, model=assistant_definition.model
+    )
+    print(f"Created assistant: {assistant.id}")
+    return assistant
+
+
+@trace
+async def add_message(cli: Union[AsyncOpenAI, AsyncAzureOpenAI], message: list, thread_id: str):
+    content = extract_text_from_message(message)
+    file_ids = await extract_file_ids_from_message(cli, message)
+    msg = await cli.beta.threads.messages.create(thread_id=thread_id, role="user", content=content, file_ids=file_ids)
+    print(f"Created message message_id: {msg.id}, thread_id: {thread_id}")
+    return msg
+
+
+@trace
+async def start_run(
+        cli: Union[AsyncOpenAI, AsyncAzureOpenAI],
+        assistant_id: str,
+        thread_id: str,
+        assistant_definition: AssistantDefinition,
+        invoker: AssistantToolInvoker,
+):
+    tools = invoker.to_openai_tools()
+    run = await cli.beta.threads.runs.create(
+        assistant_id=assistant_id,
+        thread_id=thread_id,
+        model=assistant_definition.model,
+        instructions=assistant_definition.instructions,
+        tools=tools,
+    )
+    print(f"Assistant_id: {assistant_id}, thread_id: {thread_id}, run_id: {run.id}")
+    return run
+
+
+async def wait_for_status_check():
+    await asyncio.sleep(RUN_STATUS_POLLING_INTERVAL_IN_MILSEC / 1000.0)
+
+
+async def get_run_status(cli: Union[AsyncOpenAI, AsyncAzureOpenAI], thread_id: str, run_id: str):
+    run = await cli.beta.threads.runs.retrieve(thread_id=thread_id, run_id=run_id)
+    print(f"Run status: {run.status}")
+    return run
+
+
+@trace
+async def get_tool_calls_outputs(invoker: AssistantToolInvoker, run):
+    tool_calls = run.required_action.submit_tool_outputs.tool_calls
+    tool_outputs = []
+    for tool_call in tool_calls:
+        tool_name = tool_call.function.name
+        tool_args = json.loads(tool_call.function.arguments)
+        print(f"Invoking tool: {tool_call.function.name} with args: {tool_args}")
+        output = invoker.invoke_tool(tool_name, tool_args)
+
+        tool_outputs.append(
+            {
+                "tool_call_id": tool_call.id,
+                "output": str(output),
+            }
+        )
+        print(f"Tool output: {str(output)}")
+    return tool_outputs
+
+
+@trace
+async def submit_tool_calls_outputs(cli: Union[AsyncOpenAI, AsyncAzureOpenAI], thread_id: str, run_id: str,
+                                    tool_outputs: list):
+    await cli.beta.threads.runs.submit_tool_outputs(thread_id=thread_id, run_id=run_id, tool_outputs=tool_outputs)
+    print(f"Submitted all required resonses for run: {run_id}")
+
+
+@trace
+async def require_actions(cli: Union[AsyncOpenAI, AsyncAzureOpenAI], thread_id: str, run,
+                          invoker: AssistantToolInvoker):
+    tool_outputs = await get_tool_calls_outputs(invoker, run)
+    await submit_tool_calls_outputs(cli, thread_id, run.id, tool_outputs)
+
+
+@trace
+async def wait_for_run_complete(cli: Union[AsyncOpenAI, AsyncAzureOpenAI], thread_id: str,
+                                invoker: AssistantToolInvoker, run):
+    while not is_run_terminated(run):
+        await wait_for_status_check()
+        run = await get_run_status(cli, thread_id, run.id)
+        if run.status == "requires_action":
+            await require_actions(cli, thread_id, run, invoker)
+        elif run.status in {"in_progress", "cancelling", "queued"}:
+            continue
+        elif run.status in {"failed", "cancelled", "expired"}:
+            if run.last_error is not None:
+                error_message = f"The assistant tool runs in '{run.status}' status. " \
+                                f"Error code: {run.last_error.code}. Message: {run.last_error.message}"
+            else:
+                error_message = f"The assistant tool runs in '{run.status}' status without a specific error message."
+            raise Exception(error_message)
+
+
+@trace
+async def get_run_steps(cli: Union[AsyncOpenAI, AsyncAzureOpenAI], thread_id: str, run_id: str):
+    run_steps = await cli.beta.threads.runs.steps.list(thread_id=thread_id, run_id=run_id)
+    print("step details: \n")
+    for step_data in run_steps.data:
+        print(step_data.step_details)
+
+
+@trace
+async def get_message(cli: Union[AsyncOpenAI, AsyncAzureOpenAI], thread_id: str):
+    messages = await cli.beta.threads.messages.list(thread_id=thread_id)
+    return messages
+
+
+def extract_text_from_message(message: list):
+    content = []
+    for m in message:
+        if isinstance(m, str):
+            content.append(m)
+            continue
+        message_type = m.get("type", "")
+        if message_type == "text" and "text" in m:
+            content.append(m["text"])
+    return "\n".join(content)
+
+
+async def extract_file_ids_from_message(cli: Union[AsyncOpenAI, AsyncAzureOpenAI], message: list):
+    file_ids = []
+    for m in message:
+        if isinstance(m, str):
+            continue
+        message_type = m.get("type", "")
+        if message_type == "file_path" and "file_path" in m:
+            path = m["file_path"].get("path", "")
+            if path:
+                file = await cli.files.create(file=open(path, "rb"), purpose="assistants")
+                file_ids.append(file.id)
+    return file_ids
+
+
+async def get_openai_file_references(content: list, download_image: bool,
+                                     conn: Union[AzureOpenAIConnection, OpenAIConnection]):
+    file_id_references = {}
+    file_id = None
+    for item in content:
+        if isinstance(item, ImageFileContentBlock):
+            file_id = item.image_file.file_id
+            if download_image:
+                file_id_references[file_id] = {
+                    "content": await download_openai_image(file_id, conn),
+                }
+        elif isinstance(item, TextContentBlock):
+            for annotation in item.text.annotations:
+                if annotation.type == "file_path":
+                    file_id = annotation.file_path.file_id
+                elif annotation.type == "file_citation":
+                    file_id = annotation.file_citation.file_id
+        else:
+            raise Exception(f"Unsupported content type: '{type(item)}'.")
+
+        if file_id:
+            if file_id not in file_id_references:
+                file_id_references[file_id] = {}
+            if isinstance(conn, OpenAIConnection):
+                file_id_references[file_id]["url"] = URL_PREFIX + file_id
+            else:
+                # For AzureOpenAIConnection, the url is not avaliable. Shall fullfill it later.
+                pass
+    return file_id_references
+
+
+def to_pf_content(content: list):
+    pf_content = []
+    for item in content:
+        if isinstance(item, ImageFileContentBlock):
+            file_id = item.image_file.file_id
+            pf_content.append({"type": "image_file", "image_file": {"file_id": file_id}})
+        elif isinstance(item, TextContentBlock):
+            text_dict = {"type": "text", "text": {"value": item.text.value, "annotations": []}}
+            for annotation in item.text.annotations:
+                annotation_dict = {
+                    "type": "file_path",
+                    "text": annotation.text,
+                    "start_index": annotation.start_index,
+                    "end_index": annotation.end_index,
+                }
+                if annotation.type == "file_path":
+                    annotation_dict["file_path"] = {"file_id": annotation.file_path.file_id}
+                elif annotation.type == "file_citation":
+                    annotation_dict["file_citation"] = {"file_id": annotation.file_citation.file_id}
+                text_dict["text"]["annotations"].append(annotation_dict)
+            pf_content.append(text_dict)
+        else:
+            raise SystemErrorException(f"Unsupported content type: {type(item)}")
+    return pf_content
+
+
+async def download_openai_image(file_id: str, conn: Union[AzureOpenAIConnection, OpenAIConnection]):
+    cli = await get_assistant_client(conn)
+    image_data = await cli.files.content(file_id)
+    return Image(image_data.read())
+
+
+def is_run_terminated(run) -> bool:
+    return run.status in ["completed", "expired", "failed", "cancelled"]
\ No newline at end of file
diff --git a/src/promptflow/tests/test_configs/flows/assistant-with-package-tool/assistant_definition.yaml b/src/promptflow/tests/test_configs/flows/assistant-with-package-tool/assistant_definition.yaml
new file mode 100644
index 00000000000..5da85caa80d
--- /dev/null
+++ b/src/promptflow/tests/test_configs/flows/assistant-with-package-tool/assistant_definition.yaml
@@ -0,0 +1,11 @@
+model: gpt-4
+instructions:  You are assistant for communications.
+tools:
+  - type: function
+    source:
+      type: package
+      tool: communicate.Communication.say_hello
+    predefined_inputs:
+      connection: aoai_assistant_connection
+      connection_2: aoai_assistant_connection
+    tool_type: python
diff --git a/src/promptflow/tests/test_configs/flows/assistant-with-package-tool/data.jsonl b/src/promptflow/tests/test_configs/flows/assistant-with-package-tool/data.jsonl
new file mode 100644
index 00000000000..cf7c5349b26
--- /dev/null
+++ b/src/promptflow/tests/test_configs/flows/assistant-with-package-tool/data.jsonl
@@ -0,0 +1,5 @@
+{"chat_history":[], "question": "If I am going to run with 1.5 hours this morning, how many calories will I burn?", "assistant_id": "asst_yWhdFYoCS1UatnRRQZGY85aL", "thread_id": ""}
+{"chat_history":[], "question": "I'm going to swim in Guangzhou city today for 30 min, how much calories will I burn?", "assistant_id": "asst_yWhdFYoCS1UatnRRQZGY85aL", "thread_id": ""}
+{"chat_history":[], "question": "I'm going to run slowly on local street today, how much calories will I burn?", "assistant_id": "asst_yWhdFYoCS1UatnRRQZGY85aL", "thread_id": ""}
+{"chat_history":[], "question": "If I am going to run 1.5 hours under 24 degrees Celsius, how many calories will I burn", "assistant_id": "asst_yWhdFYoCS1UatnRRQZGY85aL", "thread_id": ""}
+{"chat_history":[], "question": "I'm going to biking for 2 hours duration today, how much calories will I burn?", "assistant_id": "asst_yWhdFYoCS1UatnRRQZGY85aL", "thread_id": ""}
diff --git a/src/promptflow/tests/test_configs/flows/assistant-with-package-tool/flow.dag.yaml b/src/promptflow/tests/test_configs/flows/assistant-with-package-tool/flow.dag.yaml
new file mode 100644
index 00000000000..ec75fc3863c
--- /dev/null
+++ b/src/promptflow/tests/test_configs/flows/assistant-with-package-tool/flow.dag.yaml
@@ -0,0 +1,42 @@
+environment:
+  python_requirements_txt: requirements.txt
+version: 2
+inputs:
+  question:
+    type: string
+    default: Just say hello.
+  assistant_id:
+    type: string
+    default: ""
+  thread_id:
+    type: string
+    default: ""
+outputs:
+  answer:
+    type: string
+    reference: ${assistant.output}
+    is_chat_output: true
+  thread_id:
+    type: string
+    reference: ${get_or_create_thread.output}
+nodes:
+  - name: get_or_create_thread
+    type: python
+    source:
+      type: code
+      path: get_or_create_thread.py
+    inputs:
+      conn: aoai_assistant_connection
+      thread_id: ${inputs.thread_id}
+  - name: assistant
+    type: python
+    source:
+      type: code
+      path: add_message_and_run.py
+    inputs:
+      conn: aoai_assistant_connection
+      message: ${inputs.question}
+      assistant_id: ${inputs.assistant_id}
+      thread_id: ${get_or_create_thread.output}
+      download_images: true
+      assistant_definition: assistant_definition.yaml
diff --git a/src/promptflow/tests/test_configs/flows/assistant-with-package-tool/get_assistant_client.py b/src/promptflow/tests/test_configs/flows/assistant-with-package-tool/get_assistant_client.py
new file mode 100644
index 00000000000..9c60fe08beb
--- /dev/null
+++ b/src/promptflow/tests/test_configs/flows/assistant-with-package-tool/get_assistant_client.py
@@ -0,0 +1,18 @@
+from typing import Union
+from openai import AsyncAzureOpenAI, AsyncOpenAI
+from promptflow.tracing import trace
+from promptflow.connections import AzureOpenAIConnection, OpenAIConnection
+
+@trace
+async def get_assistant_client(conn:  Union[AzureOpenAIConnection, OpenAIConnection]):
+    if isinstance(conn, AzureOpenAIConnection):
+        cli = AsyncAzureOpenAI(
+            api_key=conn.api_key,  
+            api_version=conn.api_version,
+            azure_endpoint = conn.api_base,
+        )
+    elif isinstance(conn, OpenAIConnection):
+        cli = AsyncOpenAI(api_key=conn.api_key, organization=conn.organization)
+    else:
+        raise Exception(f"Unsupported connection type for assistant: {type(conn)}")
+    return cli
\ No newline at end of file
diff --git a/src/promptflow/tests/test_configs/flows/assistant-with-package-tool/get_or_create_thread.py b/src/promptflow/tests/test_configs/flows/assistant-with-package-tool/get_or_create_thread.py
new file mode 100644
index 00000000000..7e5cf1b6b79
--- /dev/null
+++ b/src/promptflow/tests/test_configs/flows/assistant-with-package-tool/get_or_create_thread.py
@@ -0,0 +1,16 @@
+
+
+from typing import Union
+from promptflow import tool
+from promptflow.connections import AzureOpenAIConnection, OpenAIConnection
+from get_assistant_client import get_assistant_client
+
+
+@tool
+async def get_or_create_thread(conn: Union[AzureOpenAIConnection, OpenAIConnection], thread_id: str):
+    if thread_id:
+        return thread_id
+    cli = await get_assistant_client(conn) 
+    thread = await cli.beta.threads.create()
+    return thread.id
+
diff --git a/src/promptflow/tests/test_configs/flows/assistant-with-package-tool/package_tool_definition.json b/src/promptflow/tests/test_configs/flows/assistant-with-package-tool/package_tool_definition.json
new file mode 100644
index 00000000000..c521281a417
--- /dev/null
+++ b/src/promptflow/tests/test_configs/flows/assistant-with-package-tool/package_tool_definition.json
@@ -0,0 +1,14 @@
+{
+    "communicate.Communication.say_hello": {
+        "class_name": "Communication",
+        "function": "say_hello",
+        "inputs": {
+             "connection": {"type": ["AzureOpenAIConnection"]},
+             "connection_2": {"type": ["AzureOpenAIConnection"]}
+        },
+        "module": "communicate",
+        "name": "communication related activity",
+        "type": "python",
+        "description": "Say hello to the world or someone else"
+    }
+}
diff --git a/src/promptflow/tests/test_configs/flows/assistant-with-package-tool/requirements.txt b/src/promptflow/tests/test_configs/flows/assistant-with-package-tool/requirements.txt
new file mode 100644
index 00000000000..e69de29bb2d
diff --git a/src/promptflow/tests/test_configs/flows/chat-with-assistant-no-file/add_message_and_run.py b/src/promptflow/tests/test_configs/flows/chat-with-assistant-no-file/add_message_and_run.py
index 22fa4ef4900..f967123d3a9 100644
--- a/src/promptflow/tests/test_configs/flows/chat-with-assistant-no-file/add_message_and_run.py
+++ b/src/promptflow/tests/test_configs/flows/chat-with-assistant-no-file/add_message_and_run.py
@@ -3,7 +3,7 @@
 from typing import Union
 
 from openai import AsyncAzureOpenAI, AsyncOpenAI
-from openai.types.beta.threads import MessageContentImageFile, MessageContentText
+from openai.types.beta.threads import TextContentBlock, ImageFileContentBlock
 
 from promptflow import tool
 from promptflow.connections import OpenAIConnection, AzureOpenAIConnection
@@ -194,13 +194,13 @@ async def get_openai_file_references(content: list, download_image: bool,
     file_id_references = {}
     file_id = None
     for item in content:
-        if isinstance(item, MessageContentImageFile):
+        if isinstance(item, ImageFileContentBlock):
             file_id = item.image_file.file_id
             if download_image:
                 file_id_references[file_id] = {
                     "content": await download_openai_image(file_id, conn),
                 }
-        elif isinstance(item, MessageContentText):
+        elif isinstance(item, TextContentBlock):
             for annotation in item.text.annotations:
                 if annotation.type == "file_path":
                     file_id = annotation.file_path.file_id
@@ -223,10 +223,10 @@ async def get_openai_file_references(content: list, download_image: bool,
 def to_pf_content(content: list):
     pf_content = []
     for item in content:
-        if isinstance(item, MessageContentImageFile):
+        if isinstance(item, ImageFileContentBlock):
             file_id = item.image_file.file_id
             pf_content.append({"type": "image_file", "image_file": {"file_id": file_id}})
-        elif isinstance(item, MessageContentText):
+        elif isinstance(item, TextContentBlock):
             text_dict = {"type": "text", "text": {"value": item.text.value, "annotations": []}}
             for annotation in item.text.annotations:
                 annotation_dict = {
diff --git a/src/promptflow/tests/test_configs/flows/chat_flow_with_image/flow.dag.yaml b/src/promptflow/tests/test_configs/flows/chat_flow_with_image/flow.dag.yaml
index be2954c6675..6cc5e0ae907 100644
--- a/src/promptflow/tests/test_configs/flows/chat_flow_with_image/flow.dag.yaml
+++ b/src/promptflow/tests/test_configs/flows/chat_flow_with_image/flow.dag.yaml
@@ -38,4 +38,3 @@ nodes:
   inputs:
     chat_history: ${inputs.chat_history}
     question: ${inputs.question}
-message_format: basic
diff --git a/src/promptflow/tests/test_configs/flows/chat_flow_with_non_string_stream_output/echo_input.py b/src/promptflow/tests/test_configs/flows/chat_flow_with_non_string_stream_output/echo_input.py
new file mode 100644
index 00000000000..dcf19124e05
--- /dev/null
+++ b/src/promptflow/tests/test_configs/flows/chat_flow_with_non_string_stream_output/echo_input.py
@@ -0,0 +1,7 @@
+from promptflow import tool
+
+@tool
+def my_python_tool(input: str) -> str:
+    yield "Echo: "
+    yield "an input of length "
+    yield len(input)
diff --git a/src/promptflow/tests/test_configs/flows/chat_flow_with_non_string_stream_output/flow.dag.yaml b/src/promptflow/tests/test_configs/flows/chat_flow_with_non_string_stream_output/flow.dag.yaml
new file mode 100644
index 00000000000..648388d2287
--- /dev/null
+++ b/src/promptflow/tests/test_configs/flows/chat_flow_with_non_string_stream_output/flow.dag.yaml
@@ -0,0 +1,21 @@
+inputs:
+  chat_history:
+    type: list
+    is_chat_history: true
+  text:
+    type: string
+    is_chat_input: true
+    default: What is ChatGPT?
+outputs:
+  output_echo:
+    type: string
+    reference: ${echo_my_input.output}
+    is_chat_output: true
+nodes:
+- name: echo_my_input
+  type: python
+  source:
+    type: code
+    path: echo_input.py
+  inputs:
+    input: ${inputs.text}
diff --git a/src/promptflow/tests/test_configs/flows/chat_flow_with_openai_vision_image/flow.dag.yaml b/src/promptflow/tests/test_configs/flows/chat_flow_with_openai_vision_image/flow.dag.yaml
new file mode 100644
index 00000000000..07ce97e7c48
--- /dev/null
+++ b/src/promptflow/tests/test_configs/flows/chat_flow_with_openai_vision_image/flow.dag.yaml
@@ -0,0 +1,53 @@
+message_format: openai-vision
+inputs:
+  chat_history:
+    type: list
+    default:
+    - inputs:
+        question:
+        - the first question
+        - type: image_file
+          image_file:
+            path: logo.jpg
+      outputs:
+        answer:
+        - type: image_file
+          image_file:
+            path: logo.jpg
+    - inputs:
+        question:
+        - the second question
+        - type: image_file
+          image_file:
+            path: logo_2.png
+      outputs:
+        answer:
+        - type: image_file
+          image_file:
+            path: logo_2.png
+    is_chat_history: true
+  question:
+    type: list
+    default:
+    - the third question
+    - type: image_file
+      image_file:
+        path: logo.jpg
+    - type: image_file
+      image_file:
+        path: logo_2.png
+    is_chat_input: true
+outputs:
+  answer:
+    type: string
+    reference: ${mock_chat_node.output}
+    is_chat_output: true
+nodes:
+- name: mock_chat_node
+  type: python
+  source:
+    type: code
+    path: mock_chat.py
+  inputs:
+    chat_history: ${inputs.chat_history}
+    question: ${inputs.question}
diff --git a/src/promptflow/tests/test_configs/flows/chat_flow_with_openai_vision_image/inputs.jsonl b/src/promptflow/tests/test_configs/flows/chat_flow_with_openai_vision_image/inputs.jsonl
new file mode 100644
index 00000000000..8969020ffd6
--- /dev/null
+++ b/src/promptflow/tests/test_configs/flows/chat_flow_with_openai_vision_image/inputs.jsonl
@@ -0,0 +1,2 @@
+{"chat_history":[{"inputs": {"question": ["the first question",{"type": "image_file", "image_file": {"path": "logo.jpg"}}]},"outputs": {"answer": [{"type": "image_file", "image_file": {"path": "logo.jpg"}}]}},{"inputs": {"question": ["the second question",{"type": "image_file", "image_file": {"path": "logo_2.png"}}]},"outputs": {"answer": [{"type": "image_file", "image_file": {"path": "logo_2.png"}}]}}],"question": ["the third question",{"type": "image_file", "image_file": {"path": "logo.jpg"}},{"type": "image_file", "image_file": {"path": "logo_2.png"}}]}
+{"chat_history":[{"inputs": {"question": ["the first question",{"type": "image_file", "image_file": {"path": "logo.jpg"}}]},"outputs": {"answer": [{"type": "image_file", "image_file": {"path": "logo.jpg"}}]}},{"inputs": {"question": ["the second question",{"type": "image_file", "image_file": {"path": "logo_2.png"}}]},"outputs": {"answer": [{"type": "image_file", "image_file": {"path": "logo_2.png"}}]}}],"question": ["the third question",{"type": "image_file", "image_file": {"path": "logo.jpg"}},{"type": "image_file", "image_file": {"path": "logo_2.png"}}]}
diff --git a/src/promptflow/tests/test_configs/flows/chat_flow_with_openai_vision_image/logo.jpg b/src/promptflow/tests/test_configs/flows/chat_flow_with_openai_vision_image/logo.jpg
new file mode 100644
index 00000000000..155609310c8
Binary files /dev/null and b/src/promptflow/tests/test_configs/flows/chat_flow_with_openai_vision_image/logo.jpg differ
diff --git a/src/promptflow/tests/test_configs/flows/chat_flow_with_openai_vision_image/logo_2.png b/src/promptflow/tests/test_configs/flows/chat_flow_with_openai_vision_image/logo_2.png
new file mode 100644
index 00000000000..27f294983ff
Binary files /dev/null and b/src/promptflow/tests/test_configs/flows/chat_flow_with_openai_vision_image/logo_2.png differ
diff --git a/src/promptflow/tests/test_configs/flows/chat_flow_with_openai_vision_image/mock_chat.py b/src/promptflow/tests/test_configs/flows/chat_flow_with_openai_vision_image/mock_chat.py
new file mode 100644
index 00000000000..4cda2de1c76
--- /dev/null
+++ b/src/promptflow/tests/test_configs/flows/chat_flow_with_openai_vision_image/mock_chat.py
@@ -0,0 +1,25 @@
+from promptflow import tool
+from promptflow.contracts.multimedia import Image
+
+
+@tool
+def mock_chat(chat_history: list, question: list):
+    ensure_image_in_list(question, "question")
+    for item in chat_history:
+        ensure_image_in_list(item["inputs"]["question"], "inputs of chat history")
+        ensure_image_in_list(item["outputs"]["answer"], "outputs of chat history")
+    res = []
+    for item in question:
+        if isinstance(item, Image):
+            res.append(item)
+    res.append("text response")
+    return res
+
+
+def ensure_image_in_list(value: list, name: str):
+    include_image = False
+    for item in value:
+        if isinstance(item, Image):
+            include_image = True
+    if not include_image:
+        raise Exception(f"No image found in {name}, you should include at least one image in your {name}.")
diff --git a/src/promptflow/tests/test_configs/flows/chat_group_copilot/flow.dag.yaml b/src/promptflow/tests/test_configs/flows/chat_group_copilot/flow.dag.yaml
new file mode 100644
index 00000000000..8e4f0725634
--- /dev/null
+++ b/src/promptflow/tests/test_configs/flows/chat_group_copilot/flow.dag.yaml
@@ -0,0 +1,35 @@
+$schema: https://azuremlschemas.azureedge.net/promptflow/latest/Flow.schema.json
+inputs:
+  question:
+    type: string
+    default: What's human?
+  model:
+    type: string
+    default: gpt-3.5-turbo
+  conversation_history:
+    type: list
+outputs:
+  output:
+    type: string
+    reference: ${llm.output}
+nodes:
+- name: prompt
+  type: prompt
+  inputs:
+    question: ${inputs.question}
+    conversation_history: ${inputs.conversation_history}
+  source:
+    type: code
+    path: prompt.jinja2
+- name: llm
+  type: llm
+  inputs:
+    prompt: ${prompt.output}
+    deployment_name: gpt-35-turbo
+    model: ${inputs.model}
+    max_tokens: '120'
+  source:
+    type: code
+    path: prompt.jinja2
+  connection: azure_open_ai_connection
+  api: chat
diff --git a/src/promptflow/tests/test_configs/flows/chat_group_copilot/prompt.jinja2 b/src/promptflow/tests/test_configs/flows/chat_group_copilot/prompt.jinja2
new file mode 100644
index 00000000000..89bb1968fc9
--- /dev/null
+++ b/src/promptflow/tests/test_configs/flows/chat_group_copilot/prompt.jinja2
@@ -0,0 +1,15 @@
+system:
+You are an assistant that can answer philosophical questions.
+
+Here is the initial message from user:
+{{question}}
+
+{% if conversation_history %}
+Here is a chat history you had with the user:
+{% for item in conversation_history %}
+{{item}}
+{% endfor %}
+{% endif %}
+
+Now please continue the conversation with the user, just answer the question, no extra formatting is needed:
+assistant:
\ No newline at end of file
diff --git a/src/promptflow/tests/test_configs/flows/chat_group_eval_history/aggregate.py b/src/promptflow/tests/test_configs/flows/chat_group_eval_history/aggregate.py
new file mode 100644
index 00000000000..098a6bd89d9
--- /dev/null
+++ b/src/promptflow/tests/test_configs/flows/chat_group_eval_history/aggregate.py
@@ -0,0 +1,24 @@
+from typing import List
+
+from promptflow import tool
+
+
+@tool
+def aggregate(processed_results: List[str]):
+    """
+    This tool aggregates the processed result of all lines to the variant level and log metric for each variant.
+
+    :param processed_results: List of the output of line_process node.
+    """
+
+    # Add your aggregation logic here
+    # aggregated_results should be a dictionary with the metric name as the key and the metric value as the value.
+    results_num = len(processed_results)
+    print(results_num)
+    print(processed_results)
+
+    # Log metric for each variant
+    from promptflow import log_metric
+    log_metric(key="results_num", value=results_num)
+
+    return results_num
diff --git a/src/promptflow/tests/test_configs/flows/chat_group_eval_history/data.jsonl b/src/promptflow/tests/test_configs/flows/chat_group_eval_history/data.jsonl
new file mode 100644
index 00000000000..8d7a3fe0911
--- /dev/null
+++ b/src/promptflow/tests/test_configs/flows/chat_group_eval_history/data.jsonl
@@ -0,0 +1,2 @@
+{"question": "What's the most beautiful thing in the world?", "ground_truth": "The world itself."}
+{"question": "What life is all about?", "ground_truth": "Life is about living."}
diff --git a/src/promptflow/tests/test_configs/flows/chat_group_eval_history/flow.dag.yaml b/src/promptflow/tests/test_configs/flows/chat_group_eval_history/flow.dag.yaml
new file mode 100644
index 00000000000..15368232f9e
--- /dev/null
+++ b/src/promptflow/tests/test_configs/flows/chat_group_eval_history/flow.dag.yaml
@@ -0,0 +1,33 @@
+$schema: https://azuremlschemas.azureedge.net/promptflow/latest/Flow.schema.json
+inputs:
+  question:
+    type: string
+  ground_truth:
+    type: string
+  conversation_history:
+    type: list
+    default: []
+  
+outputs:
+  output:
+    type: string
+    reference: ${line_process.output}
+
+nodes:
+- name: line_process
+  type: python
+  source:
+    type: code
+    path: line_process.py
+  inputs:
+    ground_truth: ${inputs.ground_truth}
+    conversation_history: ${inputs.conversation_history}
+- name: aggregate
+  type: python
+  source:
+    type: code
+    path: aggregate.py
+  inputs:
+    processed_results: ${line_process.output}
+  aggregation: true
+
diff --git a/src/promptflow/tests/test_configs/flows/chat_group_eval_history/line_process.py b/src/promptflow/tests/test_configs/flows/chat_group_eval_history/line_process.py
new file mode 100644
index 00000000000..46e4056eeee
--- /dev/null
+++ b/src/promptflow/tests/test_configs/flows/chat_group_eval_history/line_process.py
@@ -0,0 +1,27 @@
+from typing import List
+from promptflow import tool
+
+
+def get_answer_from_conversation_history(conversation_history: List) -> str:
+    """
+    This function gets the answer from the conversation history.
+
+    :param conversation_history: the conversation history.
+    """
+    if len(conversation_history) == 0:
+        return "NA"
+    assistant_answers = [item[1] for item in conversation_history if item[0] == "assistant"]
+    return assistant_answers[-1]["output"]
+
+
+@tool
+def line_process(ground_truth: str, conversation_history: List):
+    """
+    This tool processes the prediction of a single line and returns the processed result.
+
+    :param groundtruth: the groundtruth of a single line.
+    :param prediction: the prediction of a single line.
+    """
+    answer = get_answer_from_conversation_history(conversation_history)
+    # Add your line processing logic here
+    return "Correct" if ground_truth.lower() == answer.lower() else "Incorrect"
diff --git a/src/promptflow/tests/test_configs/flows/chat_group_eval_history/requirements.txt b/src/promptflow/tests/test_configs/flows/chat_group_eval_history/requirements.txt
new file mode 100644
index 00000000000..34d068f5f1c
--- /dev/null
+++ b/src/promptflow/tests/test_configs/flows/chat_group_eval_history/requirements.txt
@@ -0,0 +1,2 @@
+promptflow
+promptflow-tools
\ No newline at end of file
diff --git a/src/promptflow/tests/test_configs/flows/chat_group_simulation/flow.dag.yaml b/src/promptflow/tests/test_configs/flows/chat_group_simulation/flow.dag.yaml
new file mode 100644
index 00000000000..2d531ed57bb
--- /dev/null
+++ b/src/promptflow/tests/test_configs/flows/chat_group_simulation/flow.dag.yaml
@@ -0,0 +1,22 @@
+$schema: https://azuremlschemas.azureedge.net/promptflow/latest/Flow.schema.json
+inputs:
+  question:
+    type: string
+  ground_truth:
+    type: string
+  conversation_history:
+    type: list
+outputs:
+  output:
+    type: string
+    reference: ${simulator.output}
+nodes:
+- name: simulator
+  type: python
+  source:
+    type: code
+    path: simulator.py
+  inputs:
+    question: ${inputs.question}
+    ground_truth: ${inputs.ground_truth}
+    conversation_history: ${inputs.conversation_history}
diff --git a/src/promptflow/tests/test_configs/flows/chat_group_simulation/simulator.py b/src/promptflow/tests/test_configs/flows/chat_group_simulation/simulator.py
new file mode 100644
index 00000000000..7c19cb0e8dd
--- /dev/null
+++ b/src/promptflow/tests/test_configs/flows/chat_group_simulation/simulator.py
@@ -0,0 +1,28 @@
+from typing import List
+
+from promptflow import tool
+
+
+def get_answer_from_conversation_history(conversation_history: List) -> str:
+    """
+    This function gets the answer from the conversation history.
+
+    :param conversation_history: the conversation history.
+    """
+    if len(conversation_history) == 0:
+        return "NA"
+    assistant_answers = [item[1] for item in conversation_history if item[0] == "assistant"]
+    return assistant_answers[-1]["output"]
+
+
+@tool
+def simulate(question: str, ground_truth: str, conversation_history: List) -> str:
+    print(f"question: {question}")
+    print(f"chat_history: {conversation_history}")
+    answer = get_answer_from_conversation_history(conversation_history)
+    print(f"answer: {answer}")
+    if answer != ground_truth:
+        return "I don't like this answer, give me another one."
+    else:
+        return "[STOP]"
+
diff --git a/src/promptflow/tests/test_configs/flows/connection_not_provided/flow.dag.yaml b/src/promptflow/tests/test_configs/flows/connection_not_provided/flow.dag.yaml
new file mode 100644
index 00000000000..45933e5e825
--- /dev/null
+++ b/src/promptflow/tests/test_configs/flows/connection_not_provided/flow.dag.yaml
@@ -0,0 +1,15 @@
+inputs:
+  key:
+    type: string
+outputs:
+  output:
+    type: string
+    reference: ${print_env.output}
+nodes:
+- name: print_env
+  type: python
+  source:
+    type: code
+    path: print_env.py
+  inputs:
+    key: ${inputs.key}
diff --git a/src/promptflow/tests/test_configs/flows/connection_not_provided/print_env.py b/src/promptflow/tests/test_configs/flows/connection_not_provided/print_env.py
new file mode 100644
index 00000000000..8570c4b390f
--- /dev/null
+++ b/src/promptflow/tests/test_configs/flows/connection_not_provided/print_env.py
@@ -0,0 +1,10 @@
+import os
+
+from promptflow import tool
+from promptflow.connections import CustomConnection
+
+
+@tool
+def get_env_var(key: str, connection: CustomConnection):
+    # get from env var
+    return {"key": key, "connection": connection.type}
diff --git a/src/promptflow/tests/test_configs/flows/deployment_name_not_enabled/flow.dag.yaml b/src/promptflow/tests/test_configs/flows/deployment_name_not_enabled/flow.dag.yaml
new file mode 100644
index 00000000000..cb8d77178af
--- /dev/null
+++ b/src/promptflow/tests/test_configs/flows/deployment_name_not_enabled/flow.dag.yaml
@@ -0,0 +1,16 @@
+inputs:
+  key:
+    type: string
+outputs:
+  output:
+    type: string
+    reference: ${print_env.output}
+nodes:
+- name: print_env
+  type: python
+  source:
+    type: code
+    path: print_env.py
+  inputs:
+    generate_question_prompt: ${inputs.key}
+    connection: azure_open_ai_connection
diff --git a/src/promptflow/tests/test_configs/flows/deployment_name_not_enabled/print_env.py b/src/promptflow/tests/test_configs/flows/deployment_name_not_enabled/print_env.py
new file mode 100644
index 00000000000..2cdf856084c
--- /dev/null
+++ b/src/promptflow/tests/test_configs/flows/deployment_name_not_enabled/print_env.py
@@ -0,0 +1,17 @@
+from typing import Union
+ 
+ 
+from promptflow import tool
+from promptflow.connections import AzureOpenAIConnection, OpenAIConnection
+
+
+@tool()
+def generate_question(
+    connection: Union[OpenAIConnection, AzureOpenAIConnection],
+    generate_question_prompt: str,
+    deployment_name: str = "",
+    model: str = "",
+    context: str = None,
+    temperature: float = 0.2
+):
+    return {"deployment_name": deployment_name, "model": model}
diff --git a/src/promptflow/tests/test_configs/flows/evc_connection_not_exist/flow.dag.yaml b/src/promptflow/tests/test_configs/flows/evc_connection_not_exist/flow.dag.yaml
new file mode 100644
index 00000000000..9489aa74951
--- /dev/null
+++ b/src/promptflow/tests/test_configs/flows/evc_connection_not_exist/flow.dag.yaml
@@ -0,0 +1,17 @@
+inputs:
+  key:
+    type: string
+outputs:
+  output:
+    type: string
+    reference: ${print_env.output.value}
+environment_variables:
+  API_BASE: ${not_exist.val}
+nodes:
+- name: print_env
+  type: python
+  source:
+    type: code
+    path: print_env.py
+  inputs:
+    key: ${inputs.key}
diff --git a/src/promptflow/tests/test_configs/flows/evc_connection_not_exist/print_env.py b/src/promptflow/tests/test_configs/flows/evc_connection_not_exist/print_env.py
new file mode 100644
index 00000000000..e0ee390c9f6
--- /dev/null
+++ b/src/promptflow/tests/test_configs/flows/evc_connection_not_exist/print_env.py
@@ -0,0 +1,10 @@
+import os
+
+from promptflow import tool
+
+
+@tool
+def get_env_var(key: str):
+    print(os.environ.get(key))
+    # get from env var
+    return {"value": os.environ.get(key)}
diff --git a/src/promptflow/tests/test_configs/flows/export/linux/runit/promptflow-serve/run b/src/promptflow/tests/test_configs/flows/export/linux/runit/promptflow-serve/run
index 1d09ef532da..89587dcfba3 100644
--- a/src/promptflow/tests/test_configs/flows/export/linux/runit/promptflow-serve/run
+++ b/src/promptflow/tests/test_configs/flows/export/linux/runit/promptflow-serve/run
@@ -8,4 +8,4 @@ ls /connections
 pf connection create --file /connections/custom_connection.yaml
 echo "start promptflow serving with worker_num: 8, worker_threads: 1"
 cd /flow
-gunicorn -w 8 --threads 1 -b "0.0.0.0:8080" --timeout 300 "promptflow._sdk._serving.app:create_app()"
\ No newline at end of file
+gunicorn -w 8 --threads 1 -b "0.0.0.0:8080" --timeout 300 "promptflow.core._serving.app:create_app()"
\ No newline at end of file
diff --git a/src/promptflow/tests/test_configs/flows/flow_with_custom_connection/hello.py b/src/promptflow/tests/test_configs/flows/flow_with_custom_connection/hello.py
index afa0dcc204e..95095bcc46b 100644
--- a/src/promptflow/tests/test_configs/flows/flow_with_custom_connection/hello.py
+++ b/src/promptflow/tests/test_configs/flows/flow_with_custom_connection/hello.py
@@ -3,6 +3,6 @@
 
 
 @tool
-def my_python_tool(text: str, connection: CustomConnection) -> dict:
-    return connection._to_dict()
+def my_python_tool1(text: str, connection: CustomConnection) -> dict:
+    return dict(connection)
 
diff --git a/src/promptflow/tests/test_configs/flows/flow_with_nested_tool/flow.dag.yaml b/src/promptflow/tests/test_configs/flows/flow_with_nested_tool/flow.dag.yaml
new file mode 100644
index 00000000000..65ebdd3d555
--- /dev/null
+++ b/src/promptflow/tests/test_configs/flows/flow_with_nested_tool/flow.dag.yaml
@@ -0,0 +1,16 @@
+inputs:
+  input:
+    type: string
+    default: test
+outputs:
+  output:
+    type: string
+    reference: ${nested_tool_node.output}
+nodes:
+  - name: nested_tool_node
+    type: python
+    source:
+      type: code
+      path: nested_tool.py
+    inputs:
+      input: ${inputs.input}
diff --git a/src/promptflow/tests/test_configs/flows/flow_with_nested_tool/nested_tool.py b/src/promptflow/tests/test_configs/flows/flow_with_nested_tool/nested_tool.py
new file mode 100644
index 00000000000..b769216fcca
--- /dev/null
+++ b/src/promptflow/tests/test_configs/flows/flow_with_nested_tool/nested_tool.py
@@ -0,0 +1,8 @@
+from promptflow import tool
+
+
+@tool
+def nested_tool(input, recursive_call=True):
+    if recursive_call:
+        nested_tool(input, recursive_call=False)
+    return input
diff --git a/src/promptflow/tests/test_configs/flows/flow_with_trace/inputs.jsonl b/src/promptflow/tests/test_configs/flows/flow_with_trace/inputs.jsonl
new file mode 100644
index 00000000000..5eb94be350a
--- /dev/null
+++ b/src/promptflow/tests/test_configs/flows/flow_with_trace/inputs.jsonl
@@ -0,0 +1,2 @@
+{"user_id": 1}
+{"user_id": 2}
\ No newline at end of file
diff --git a/src/promptflow/tests/test_configs/flows/food-calorie-assistant/add_message_and_run.py b/src/promptflow/tests/test_configs/flows/food-calorie-assistant/add_message_and_run.py
index 22fa4ef4900..f967123d3a9 100644
--- a/src/promptflow/tests/test_configs/flows/food-calorie-assistant/add_message_and_run.py
+++ b/src/promptflow/tests/test_configs/flows/food-calorie-assistant/add_message_and_run.py
@@ -3,7 +3,7 @@
 from typing import Union
 
 from openai import AsyncAzureOpenAI, AsyncOpenAI
-from openai.types.beta.threads import MessageContentImageFile, MessageContentText
+from openai.types.beta.threads import TextContentBlock, ImageFileContentBlock
 
 from promptflow import tool
 from promptflow.connections import OpenAIConnection, AzureOpenAIConnection
@@ -194,13 +194,13 @@ async def get_openai_file_references(content: list, download_image: bool,
     file_id_references = {}
     file_id = None
     for item in content:
-        if isinstance(item, MessageContentImageFile):
+        if isinstance(item, ImageFileContentBlock):
             file_id = item.image_file.file_id
             if download_image:
                 file_id_references[file_id] = {
                     "content": await download_openai_image(file_id, conn),
                 }
-        elif isinstance(item, MessageContentText):
+        elif isinstance(item, TextContentBlock):
             for annotation in item.text.annotations:
                 if annotation.type == "file_path":
                     file_id = annotation.file_path.file_id
@@ -223,10 +223,10 @@ async def get_openai_file_references(content: list, download_image: bool,
 def to_pf_content(content: list):
     pf_content = []
     for item in content:
-        if isinstance(item, MessageContentImageFile):
+        if isinstance(item, ImageFileContentBlock):
             file_id = item.image_file.file_id
             pf_content.append({"type": "image_file", "image_file": {"file_id": file_id}})
-        elif isinstance(item, MessageContentText):
+        elif isinstance(item, TextContentBlock):
             text_dict = {"type": "text", "text": {"value": item.text.value, "annotations": []}}
             for annotation in item.text.annotations:
                 annotation_dict = {
diff --git a/src/promptflow/tests/test_configs/flows/hello-world/hello_world.py b/src/promptflow/tests/test_configs/flows/hello-world/hello_world.py
index e0fa71d6796..880ec3dfc9a 100644
--- a/src/promptflow/tests/test_configs/flows/hello-world/hello_world.py
+++ b/src/promptflow/tests/test_configs/flows/hello-world/hello_world.py
@@ -1,6 +1,10 @@
+import time
+
 from promptflow import tool
 
 
 @tool
 def hello_world(name: str) -> str:
+    # Sleep for 1.2 seconds
+    time.sleep(1.2)
     return f"Hello World {name}!"
diff --git a/src/promptflow/tests/test_configs/flows/list_connection_not_provided/flow.dag.yaml b/src/promptflow/tests/test_configs/flows/list_connection_not_provided/flow.dag.yaml
new file mode 100644
index 00000000000..45933e5e825
--- /dev/null
+++ b/src/promptflow/tests/test_configs/flows/list_connection_not_provided/flow.dag.yaml
@@ -0,0 +1,15 @@
+inputs:
+  key:
+    type: string
+outputs:
+  output:
+    type: string
+    reference: ${print_env.output}
+nodes:
+- name: print_env
+  type: python
+  source:
+    type: code
+    path: print_env.py
+  inputs:
+    key: ${inputs.key}
diff --git a/src/promptflow/tests/test_configs/flows/list_connection_not_provided/print_env.py b/src/promptflow/tests/test_configs/flows/list_connection_not_provided/print_env.py
new file mode 100644
index 00000000000..611ff53ec49
--- /dev/null
+++ b/src/promptflow/tests/test_configs/flows/list_connection_not_provided/print_env.py
@@ -0,0 +1,10 @@
+from typing import Union
+
+from promptflow import tool
+from promptflow.connections import CustomConnection, OpenAIConnection
+
+
+@tool
+def get_env_var(key: str, connection: Union[CustomConnection, OpenAIConnection]):
+    # get from env var
+    return {"key": key, "connection": connection.type}
diff --git a/src/promptflow/tests/test_configs/flows/python_tool_deployment_name/flow.dag.yaml b/src/promptflow/tests/test_configs/flows/python_tool_deployment_name/flow.dag.yaml
new file mode 100644
index 00000000000..5177f6de7db
--- /dev/null
+++ b/src/promptflow/tests/test_configs/flows/python_tool_deployment_name/flow.dag.yaml
@@ -0,0 +1,16 @@
+inputs:
+  key:
+    type: string
+outputs:
+  output:
+    type: object
+    reference: ${print_env.output}
+nodes:
+- name: print_env
+  type: python
+  source:
+    type: code
+    path: print_env.py
+  inputs:
+    generate_question_prompt: ${inputs.key}
+    connection: azure_open_ai_connection
\ No newline at end of file
diff --git a/src/promptflow/tests/test_configs/flows/python_tool_deployment_name/print_env.py b/src/promptflow/tests/test_configs/flows/python_tool_deployment_name/print_env.py
new file mode 100644
index 00000000000..aa5df50e099
--- /dev/null
+++ b/src/promptflow/tests/test_configs/flows/python_tool_deployment_name/print_env.py
@@ -0,0 +1,25 @@
+from typing import Union
+ 
+ 
+from promptflow import tool
+from promptflow._core.tool import InputSetting
+from promptflow.connections import AzureOpenAIConnection, OpenAIConnection
+
+
+@tool(input_settings={
+    "deployment_name": InputSetting(enabled_by="connection", enabled_by_type=["AzureOpenAIConnection"], capabilities={
+            "completion": False,
+            "chat_completion": True,
+            "embeddings": False
+          }),
+    "model": InputSetting(enabled_by="connection", enabled_by_type=["OpenAIConnection"]),
+})
+def generate_question(
+    connection: Union[OpenAIConnection, AzureOpenAIConnection],
+    generate_question_prompt: str,
+    deployment_name: str = "",
+    model: str = "",
+    context: str = None,
+    temperature: float = 0.2
+):
+    return {"deployment_name": deployment_name, "model": model}
diff --git a/src/promptflow/tests/test_configs/flows/simple_hello_world_random_fail/.gitattributes b/src/promptflow/tests/test_configs/flows/simple_hello_world_random_fail/.gitattributes
new file mode 100644
index 00000000000..fcadb2cf979
--- /dev/null
+++ b/src/promptflow/tests/test_configs/flows/simple_hello_world_random_fail/.gitattributes
@@ -0,0 +1 @@
+* text eol=lf
diff --git a/src/promptflow/tests/test_configs/flows/simple_hello_world_random_fail/flow.dag.yaml b/src/promptflow/tests/test_configs/flows/simple_hello_world_random_fail/flow.dag.yaml
new file mode 100644
index 00000000000..0d20088a874
--- /dev/null
+++ b/src/promptflow/tests/test_configs/flows/simple_hello_world_random_fail/flow.dag.yaml
@@ -0,0 +1,16 @@
+inputs:
+  name:
+    type: string
+    default: hod
+outputs:
+  result:
+    type: string
+    reference: ${hello_world.output}
+nodes:
+- name: hello_world
+  type: python
+  source:
+    type: code
+    path: hello_world.py
+  inputs:
+    name: ${inputs.name}
diff --git a/src/promptflow/tests/test_configs/flows/simple_hello_world_random_fail/hello_world.py b/src/promptflow/tests/test_configs/flows/simple_hello_world_random_fail/hello_world.py
new file mode 100644
index 00000000000..0221ead1553
--- /dev/null
+++ b/src/promptflow/tests/test_configs/flows/simple_hello_world_random_fail/hello_world.py
@@ -0,0 +1,10 @@
+from promptflow import tool
+import random
+
+
+@tool
+def hello_world(name: str) -> str:
+    if random.random() < 0.5:
+        raise ValueError("Random failure")
+
+    return f"Hello World {name}!"
diff --git a/src/promptflow/tests/test_configs/node_recordings/node_cache.shelve.bak b/src/promptflow/tests/test_configs/node_recordings/node_cache.shelve.bak
deleted file mode 100644
index f650abfb485..00000000000
--- a/src/promptflow/tests/test_configs/node_recordings/node_cache.shelve.bak
+++ /dev/null
@@ -1,70 +0,0 @@
-'b9bcb73bbe85960e4f492c6b60fd2584de421f91', (0, 325)
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-'fa9d17f9390125ded524b1fc1c370f4ef5f34319', (184320, 4812)
-'2c2c8e9b4662215a00c7119e987a6b0049829e2b', (189440, 503)
-'6f58a5915089ae8f209ae96e3c3cb0ce3e6fb96c', (189952, 2353)
-'f56d5514d99ebe339704d813fff58eb2f64e0ff1', (192512, 4143)
-'5c89863ea5416b9056f7af7b702059fa1d37827f', (197120, 4144)
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-'c8fcd047770466d76018d8b9656c18b7a87a9dcf', (212992, 2255)
-'0ad069199b869f02d23f0f5e3ad781c57b3afe27', (215552, 3954)
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-'3441389fe22e5392774230817f328e3ec3a30f72', (367616, 4568)
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diff --git a/src/promptflow/tests/test_configs/node_recordings/node_cache.shelve.dat b/src/promptflow/tests/test_configs/node_recordings/node_cache.shelve.dat
deleted file mode 100644
index 8d027a3480d..00000000000
Binary files a/src/promptflow/tests/test_configs/node_recordings/node_cache.shelve.dat and /dev/null differ
diff --git a/src/promptflow/tests/test_configs/node_recordings/node_cache.shelve.dir b/src/promptflow/tests/test_configs/node_recordings/node_cache.shelve.dir
deleted file mode 100644
index f650abfb485..00000000000
--- a/src/promptflow/tests/test_configs/node_recordings/node_cache.shelve.dir
+++ /dev/null
@@ -1,70 +0,0 @@
-'b9bcb73bbe85960e4f492c6b60fd2584de421f91', (0, 325)
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-'eea8e9626a2ad3706637b8c470691f2a73917e0c', (3584, 531)
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-'70f4fea54805e642e98208d6704425432e00d46d', (7168, 3051)
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diff --git a/src/promptflow/tests/test_configs/notebooks/dummy.ipynb b/src/promptflow/tests/test_configs/notebooks/dummy.ipynb
index 3a05c0bdfdd..35adbd9c479 100644
--- a/src/promptflow/tests/test_configs/notebooks/dummy.ipynb
+++ b/src/promptflow/tests/test_configs/notebooks/dummy.ipynb
@@ -89,12 +89,12 @@
    "outputs": [],
    "source": [
     "# Load sync flow as an async function\n",
-    "from promptflow import load_flow\n",
-    "f_async = load_flow(\"../flows/print_env_var\", is_async_call=True)\n",
+    "from promptflow.core import AsyncFlow, Flow\n",
+    "f_async = AsyncFlow.load(\"../flows/print_env_var\")\n",
     "output = await f_async(key=\"PATH\")\n",
     "\n",
     "# Load sync flow as a sync function\n",
-    "f_sync = load_flow(\"../flows/print_env_var\")\n",
+    "f_sync = Flow.load(\"../flows/print_env_var\")\n",
     "output = f_sync(key=\"PATH\")"
    ]
   }
diff --git a/src/promptflow/tests/test_configs/recordings/test_run_operations_TestFlowRun_test_download_run.yaml b/src/promptflow/tests/test_configs/recordings/test_run_operations_TestFlowRun_test_download_run.yaml
deleted file mode 100644
index 2a2bfb0fa23..00000000000
--- a/src/promptflow/tests/test_configs/recordings/test_run_operations_TestFlowRun_test_download_run.yaml
+++ /dev/null
@@ -1,2788 +0,0 @@
-interactions:
-- request:
-    body: null
-    headers:
-      Accept:
-      - application/json
-      Accept-Encoding:
-      - gzip, deflate
-      Connection:
-      - keep-alive
-      User-Agent:
-      - promptflow-sdk/0.0.1 azure-ai-ml/1.12.1 azsdk-python-mgmt-machinelearningservices/0.1.0
-        Python/3.10.13 (Windows-10-10.0.22631-SP0)
-    method: GET
-    uri: https://management.azure.com/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000
-  response:
-    body:
-      string: '{"id": "/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000",
-        "name": "00000", "type": "Microsoft.MachineLearningServices/workspaces", "location":
-        "eastus", "tags": {}, "etag": null, "kind": "Default", "sku": {"name": "Basic",
-        "tier": "Basic"}, "properties": {"discoveryUrl": "https://eastus.api.azureml.ms/discovery"}}'
-    headers:
-      cache-control:
-      - no-cache
-      content-length:
-      - '3630'
-      content-type:
-      - application/json; charset=utf-8
-      expires:
-      - '-1'
-      pragma:
-      - no-cache
-      strict-transport-security:
-      - max-age=31536000; includeSubDomains
-      transfer-encoding:
-      - chunked
-      vary:
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-        false, "queueingInfo": null, "inputs": null, "outputs": null}, "runDefinition":
-        null, "jobSpecification": null, "systemSettings": null}'
-    headers:
-      connection:
-      - keep-alive
-      content-length:
-      - '3912'
-      content-type:
-      - application/json; charset=utf-8
-      strict-transport-security:
-      - max-age=31536000; includeSubDomains; preload
-      transfer-encoding:
-      - chunked
-      vary:
-      - Accept-Encoding
-      x-content-type-options:
-      - nosniff
-      x-request-time:
-      - '0.048'
-    status:
-      code: 200
-      message: OK
-version: 1
diff --git a/src/promptflow/tests/test_configs/traces/large-data-span-example.json b/src/promptflow/tests/test_configs/traces/large-data-span-example.json
new file mode 100644
index 00000000000..f37e8b06aaf
--- /dev/null
+++ b/src/promptflow/tests/test_configs/traces/large-data-span-example.json
@@ -0,0 +1,54 @@
+{
+    "name": "openai.resources.chat.completions.Completions.create",
+    "context": {
+      "trace_id": "32a6fb50e281736543979ce5b929dfdc",
+      "span_id": "3a3596a19efef900",
+      "trace_state": ""
+    },
+    "kind": "1",
+    "parent_id": "9c63581c6da66596",
+    "start_time": "2024-03-21T06:37:22.332582",
+    "end_time": "2024-03-21T06:37:26.445007",
+    "status": {
+      "status_code": "Ok",
+      "description": ""
+    },
+    "attributes": {
+      "framework": "promptflow",
+      "span_type": "LLM",
+      "function": "openai.resources.chat.completions.Completions.create",
+      "node_name": "Azure_OpenAI_GPT_4_Turbo_with_Vision_mrr4",
+      "line_run_id": "277fab99-d26e-4c43-8ec4-b0c61669fd68",
+      "llm.response.model": "gpt-4",
+      "__computed__.cumulative_token_count.completion": "14",
+      "__computed__.cumulative_token_count.prompt": "1497",
+      "__computed__.cumulative_token_count.total": "1511",
+      "llm.usage.completion_tokens": "14",
+      "llm.usage.prompt_tokens": "1497",
+      "llm.usage.total_tokens": "1511"
+    },
+    "events": [
+      {
+        "name": "promptflow.function.inputs",
+        "timestamp": "2024-03-21T06:37:22.332582",
+        "attributes": {
+          "payload": "{\"input1\": \"value1\", \"input2\": \"value2\"}"
+        }
+      },
+      {
+        "name": "promptflow.function.output",
+        "timestamp": "2024-03-21T06:37:26.445007",
+        "attributes": {
+          "payload": "{\"output1\": \"val1\", \"output2\": \"val2\"}"
+        }
+      }
+    ],
+    "links": [],
+    "resource": {
+      "attributes": {
+        "service.name": "promptflow",
+        "collection": "default"
+      },
+      "schema_url": ""
+    }
+  }
\ No newline at end of file
diff --git a/src/promptflow/tests/test_configs/wrong_flows/assistant_package_tool_wrong_source_type/add_message_and_run.py b/src/promptflow/tests/test_configs/wrong_flows/assistant_package_tool_wrong_source_type/add_message_and_run.py
new file mode 100644
index 00000000000..646676de295
--- /dev/null
+++ b/src/promptflow/tests/test_configs/wrong_flows/assistant_package_tool_wrong_source_type/add_message_and_run.py
@@ -0,0 +1,20 @@
+from typing import Union
+
+from promptflow import tool
+from promptflow.connections import OpenAIConnection, AzureOpenAIConnection
+from promptflow.contracts.types import AssistantDefinition
+
+URL_PREFIX = "https://platform.openai.com/files/"
+RUN_STATUS_POLLING_INTERVAL_IN_MILSEC = 1000
+
+
+@tool
+async def add_message_and_run(
+        conn: Union[AzureOpenAIConnection, OpenAIConnection],
+        assistant_id: str,
+        thread_id: str,
+        message: list,
+        assistant_definition: AssistantDefinition,
+        download_images: bool,
+):
+    pass
\ No newline at end of file
diff --git a/src/promptflow/tests/test_configs/wrong_flows/assistant_package_tool_wrong_source_type/assistant_definition.yaml b/src/promptflow/tests/test_configs/wrong_flows/assistant_package_tool_wrong_source_type/assistant_definition.yaml
new file mode 100644
index 00000000000..068b3489e60
--- /dev/null
+++ b/src/promptflow/tests/test_configs/wrong_flows/assistant_package_tool_wrong_source_type/assistant_definition.yaml
@@ -0,0 +1,9 @@
+model: gpt-4
+instructions: You are a helpful assistant.
+tools:
+  - type: code_interpreter
+  - type: function
+    source:
+      type: package1
+      tool: hello.world
+    tool_type: python
\ No newline at end of file
diff --git a/src/promptflow/tests/test_configs/wrong_flows/assistant_package_tool_wrong_source_type/flow.dag.yaml b/src/promptflow/tests/test_configs/wrong_flows/assistant_package_tool_wrong_source_type/flow.dag.yaml
new file mode 100644
index 00000000000..8eba1f7cb34
--- /dev/null
+++ b/src/promptflow/tests/test_configs/wrong_flows/assistant_package_tool_wrong_source_type/flow.dag.yaml
@@ -0,0 +1,36 @@
+environment:
+  python_requirements_txt: requirements.txt
+version: 2
+inputs:
+  question:
+    type: string
+    is_chat_input: true
+    default: I am going to swim today for 30 min in Guangzhou city, how much
+      calories will I burn?
+  assistant_id:
+    type: string
+    default: ""
+  thread_id:
+    type: string
+    default: ""
+outputs:
+  answer:
+    type: string
+    reference: ${assistant.output}
+    is_chat_output: true
+  thread_id:
+    type: string
+    reference: ${get_or_create_thread.output}
+nodes:
+  - name: assistant
+    type: python
+    source:
+      type: code
+      path: add_message_and_run.py
+    inputs:
+      conn: aoai_assistant_connection
+      message: ${inputs.question}
+      assistant_id: ${inputs.assistant_id}
+      thread_id: ${inputs.thread_id}
+      download_images: true
+      assistant_definition: assistant_definition.yaml
diff --git a/src/promptflow/tests/test_configs/wrong_flows/assistant_package_tool_wrong_tool/add_message_and_run.py b/src/promptflow/tests/test_configs/wrong_flows/assistant_package_tool_wrong_tool/add_message_and_run.py
new file mode 100644
index 00000000000..646676de295
--- /dev/null
+++ b/src/promptflow/tests/test_configs/wrong_flows/assistant_package_tool_wrong_tool/add_message_and_run.py
@@ -0,0 +1,20 @@
+from typing import Union
+
+from promptflow import tool
+from promptflow.connections import OpenAIConnection, AzureOpenAIConnection
+from promptflow.contracts.types import AssistantDefinition
+
+URL_PREFIX = "https://platform.openai.com/files/"
+RUN_STATUS_POLLING_INTERVAL_IN_MILSEC = 1000
+
+
+@tool
+async def add_message_and_run(
+        conn: Union[AzureOpenAIConnection, OpenAIConnection],
+        assistant_id: str,
+        thread_id: str,
+        message: list,
+        assistant_definition: AssistantDefinition,
+        download_images: bool,
+):
+    pass
\ No newline at end of file
diff --git a/src/promptflow/tests/test_configs/wrong_flows/assistant_package_tool_wrong_tool/assistant_definition.yaml b/src/promptflow/tests/test_configs/wrong_flows/assistant_package_tool_wrong_tool/assistant_definition.yaml
new file mode 100644
index 00000000000..809b1e1b056
--- /dev/null
+++ b/src/promptflow/tests/test_configs/wrong_flows/assistant_package_tool_wrong_tool/assistant_definition.yaml
@@ -0,0 +1,9 @@
+model: gpt-4
+instructions: You are a helpful assistant.
+tools:
+  - type: code_interpreter
+  - type: function
+    source:
+      type: package
+      tool: hello.world
+    tool_type: python
\ No newline at end of file
diff --git a/src/promptflow/tests/test_configs/wrong_flows/assistant_package_tool_wrong_tool/flow.dag.yaml b/src/promptflow/tests/test_configs/wrong_flows/assistant_package_tool_wrong_tool/flow.dag.yaml
new file mode 100644
index 00000000000..8eba1f7cb34
--- /dev/null
+++ b/src/promptflow/tests/test_configs/wrong_flows/assistant_package_tool_wrong_tool/flow.dag.yaml
@@ -0,0 +1,36 @@
+environment:
+  python_requirements_txt: requirements.txt
+version: 2
+inputs:
+  question:
+    type: string
+    is_chat_input: true
+    default: I am going to swim today for 30 min in Guangzhou city, how much
+      calories will I burn?
+  assistant_id:
+    type: string
+    default: ""
+  thread_id:
+    type: string
+    default: ""
+outputs:
+  answer:
+    type: string
+    reference: ${assistant.output}
+    is_chat_output: true
+  thread_id:
+    type: string
+    reference: ${get_or_create_thread.output}
+nodes:
+  - name: assistant
+    type: python
+    source:
+      type: code
+      path: add_message_and_run.py
+    inputs:
+      conn: aoai_assistant_connection
+      message: ${inputs.question}
+      assistant_id: ${inputs.assistant_id}
+      thread_id: ${inputs.thread_id}
+      download_images: true
+      assistant_definition: assistant_definition.yaml
diff --git a/src/promptflow/tests/test_configs/wrong_flows/assistant_python_tool_wrong_path/add_message_and_run.py b/src/promptflow/tests/test_configs/wrong_flows/assistant_python_tool_wrong_path/add_message_and_run.py
new file mode 100644
index 00000000000..646676de295
--- /dev/null
+++ b/src/promptflow/tests/test_configs/wrong_flows/assistant_python_tool_wrong_path/add_message_and_run.py
@@ -0,0 +1,20 @@
+from typing import Union
+
+from promptflow import tool
+from promptflow.connections import OpenAIConnection, AzureOpenAIConnection
+from promptflow.contracts.types import AssistantDefinition
+
+URL_PREFIX = "https://platform.openai.com/files/"
+RUN_STATUS_POLLING_INTERVAL_IN_MILSEC = 1000
+
+
+@tool
+async def add_message_and_run(
+        conn: Union[AzureOpenAIConnection, OpenAIConnection],
+        assistant_id: str,
+        thread_id: str,
+        message: list,
+        assistant_definition: AssistantDefinition,
+        download_images: bool,
+):
+    pass
\ No newline at end of file
diff --git a/src/promptflow/tests/test_configs/wrong_flows/assistant_python_tool_wrong_path/assistant_definition.yaml b/src/promptflow/tests/test_configs/wrong_flows/assistant_python_tool_wrong_path/assistant_definition.yaml
new file mode 100644
index 00000000000..7d07a8767aa
--- /dev/null
+++ b/src/promptflow/tests/test_configs/wrong_flows/assistant_python_tool_wrong_path/assistant_definition.yaml
@@ -0,0 +1,9 @@
+model: gpt-4
+instructions: You are a helpful assistant.
+tools:
+  - type: code_interpreter
+  - type: function
+    source:
+      type: code
+      path: ./hello.py
+    tool_type: python
\ No newline at end of file
diff --git a/src/promptflow/tests/test_configs/wrong_flows/assistant_python_tool_wrong_path/flow.dag.yaml b/src/promptflow/tests/test_configs/wrong_flows/assistant_python_tool_wrong_path/flow.dag.yaml
new file mode 100644
index 00000000000..8eba1f7cb34
--- /dev/null
+++ b/src/promptflow/tests/test_configs/wrong_flows/assistant_python_tool_wrong_path/flow.dag.yaml
@@ -0,0 +1,36 @@
+environment:
+  python_requirements_txt: requirements.txt
+version: 2
+inputs:
+  question:
+    type: string
+    is_chat_input: true
+    default: I am going to swim today for 30 min in Guangzhou city, how much
+      calories will I burn?
+  assistant_id:
+    type: string
+    default: ""
+  thread_id:
+    type: string
+    default: ""
+outputs:
+  answer:
+    type: string
+    reference: ${assistant.output}
+    is_chat_output: true
+  thread_id:
+    type: string
+    reference: ${get_or_create_thread.output}
+nodes:
+  - name: assistant
+    type: python
+    source:
+      type: code
+      path: add_message_and_run.py
+    inputs:
+      conn: aoai_assistant_connection
+      message: ${inputs.question}
+      assistant_id: ${inputs.assistant_id}
+      thread_id: ${inputs.thread_id}
+      download_images: true
+      assistant_definition: assistant_definition.yaml
diff --git a/src/promptflow/tests/tracing_test/.coveragerc b/src/promptflow/tests/tracing_test/.coveragerc
deleted file mode 100644
index a3bb8988488..00000000000
--- a/src/promptflow/tests/tracing_test/.coveragerc
+++ /dev/null
@@ -1,18 +0,0 @@
-[run]
-source =
-    */promptflow/tracing/*
-omit =
-    */promptflow/_cli/*
-    */promptflow/_core/*
-    */promptflow/_sdk/*
-    */promptflow/_telemetry/*
-    */promptflow/_utils/*
-    */promptflow/azure/*
-    */promptflow/batch/*
-    */promptflow/contracts/*
-    */promptflow/entities/*
-    */promptflow/executor/*
-    */promptflow/integrations/*
-    */promptflow/operations/*
-    */promptflow/storage/*
-    *__init__.py*
diff --git a/src/promptflow/tests/tracing_test/unittests/test_start_trace.py b/src/promptflow/tests/tracing_test/unittests/test_start_trace.py
deleted file mode 100644
index b3a0b26ca9d..00000000000
--- a/src/promptflow/tests/tracing_test/unittests/test_start_trace.py
+++ /dev/null
@@ -1,26 +0,0 @@
-# ---------------------------------------------------------
-# Copyright (c) Microsoft Corporation. All rights reserved.
-# ---------------------------------------------------------
-
-import pytest
-from pytest_mock import MockerFixture
-
-import promptflow.tracing._start_trace
-from promptflow._sdk._configuration import Configuration
-from promptflow.tracing import start_trace
-from promptflow.tracing._constants import PF_TRACING_SKIP_LOCAL_SETUP
-
-
-@pytest.mark.unittest
-class TestStartTrace:
-    def test_skip_tracing_local_setup(self, monkeypatch: pytest.MonkeyPatch, mocker: MockerFixture) -> None:
-        spy = mocker.spy(promptflow.tracing._start_trace, "_tracing_local_setup")
-        with mocker.patch.object(Configuration, "is_internal_features_enabled", return_value=True):
-            # configured environ to skip local setup
-            with monkeypatch.context() as m:
-                m.setenv(PF_TRACING_SKIP_LOCAL_SETUP, "true")
-                start_trace()
-                assert spy.call_count == 0
-            # no environ, should call local setup once
-            start_trace()
-            assert spy.call_count == 1